From be1589938cf993085c00da9212baab03519f7944 Mon Sep 17 00:00:00 2001
From: Mohsin Ali Irfan <mohsin.ali@codeupscale.com>
Date: Tue, 10 Jun 2025 20:22:59 +0500
Subject: [PATCH 01/38] Added external agents and changed input to the
 deeo_research

---
 .../deep_research/deep_research_agent.py      |  108 +-
 src/agent/intent_classifier/README.md         |   68 +
 src/agent/intent_classifier/agent.py          |   28 +
 src/agent/intent_classifier/output.py         |    5 +
 src/agent/intent_classifier/prompt.py         |   41 +
 src/agent/main_agent/README.md                |  139 +
 src/agent/main_agent/agent.py                 |   85 +
 src/agent/prompt_enahncer/README.md           |  121 +
 src/agent/prompt_enahncer/agent.py            |   28 +
 src/agent/prompt_enahncer/output.py           |    5 +
 src/agent/prompt_enahncer/prompt.py           |   22 +
 src/agent/qa_possibilty_checker/README.md     |  143 +
 src/agent/qa_possibilty_checker/agent.py      |   29 +
 src/agent/qa_possibilty_checker/output.py     |    5 +
 src/agent/qa_possibilty_checker/prompt.py     |   24 +
 src/agent/snippet_extractor/README.md         |  167 +
 src/agent/snippet_extractor/agent.py          |  171 ++
 src/agent/snippet_extractor/output.py         |    6 +
 src/agent/snippet_extractor/prompt.py         |  184 ++
 src/models/models.py                          |    7 +
 src/outputdata/agent_execution.json           |   16 +
 src/outputdata/output_data.py                 |   48 +
 src/webpage/webpage_checker.py                |   25 +
 src/webpage/webpage_code.html                 | 2702 +++++++++++++++++
 .../components/deep_research_agent_tab.py     |   14 +
 25 files changed, 4185 insertions(+), 6 deletions(-)
 create mode 100644 src/agent/intent_classifier/README.md
 create mode 100644 src/agent/intent_classifier/agent.py
 create mode 100644 src/agent/intent_classifier/output.py
 create mode 100644 src/agent/intent_classifier/prompt.py
 create mode 100644 src/agent/main_agent/README.md
 create mode 100644 src/agent/main_agent/agent.py
 create mode 100644 src/agent/prompt_enahncer/README.md
 create mode 100644 src/agent/prompt_enahncer/agent.py
 create mode 100644 src/agent/prompt_enahncer/output.py
 create mode 100644 src/agent/prompt_enahncer/prompt.py
 create mode 100644 src/agent/qa_possibilty_checker/README.md
 create mode 100644 src/agent/qa_possibilty_checker/agent.py
 create mode 100644 src/agent/qa_possibilty_checker/output.py
 create mode 100644 src/agent/qa_possibilty_checker/prompt.py
 create mode 100644 src/agent/snippet_extractor/README.md
 create mode 100644 src/agent/snippet_extractor/agent.py
 create mode 100644 src/agent/snippet_extractor/output.py
 create mode 100644 src/agent/snippet_extractor/prompt.py
 create mode 100644 src/models/models.py
 create mode 100644 src/outputdata/agent_execution.json
 create mode 100644 src/outputdata/output_data.py
 create mode 100644 src/webpage/webpage_checker.py
 create mode 100644 src/webpage/webpage_code.html

diff --git a/src/agent/deep_research/deep_research_agent.py b/src/agent/deep_research/deep_research_agent.py
index 69818902..75d103ec 100644
--- a/src/agent/deep_research/deep_research_agent.py
+++ b/src/agent/deep_research/deep_research_agent.py
@@ -35,6 +35,12 @@
 from src.browser.custom_browser import CustomBrowser
 from src.controller.custom_controller import CustomController
 from src.utils.mcp_client import setup_mcp_client_and_tools
+from src.agent.intent_classifier.agent import IntentClassifierAgent
+from src.webpage.webpage_checker import WebpageChecker
+from src.agent.snippet_extractor.agent import SnippetExtractorAgent
+from src.agent.qa_possibilty_checker.agent import QAPossibilityChecker
+from src.agent.prompt_enahncer.agent import PromptEnhancerAgent
+
 
 logger = logging.getLogger(__name__)
 
@@ -300,6 +306,25 @@ def create_browser_search_tool(
 
 # --- Langgraph State Definition ---
 
+class InitialStepsState(TypedDict):  #this  class will act as out State storing all the output values from the agents
+    user_query: str = " "
+    url: str = " "
+    
+    intent_check: bool = False #true if the intent is QA related
+    inten_agent_msg: str = ""
+
+    webpage_check: bool = False #true if the webpage is valid
+    webpage_msg: str = ""
+    
+    extracted_snippet_agent_msg: str = ""
+    extracted_snippet: str = " "
+    snippet_check: bool = False #true if the snippet is available
+    
+    QA_possibility_agent_msg: str = ""
+    QA_possibility_check: bool = False #true if the QA is possible
+
+    enhanced_prompt_agent_msg: str = ""
+    enhanced_prompt: str = " "
 
 class ResearchTaskItem(TypedDict):
     # step: int # Maybe step within category, or just implicit by order
@@ -318,6 +343,8 @@ class ResearchCategoryItem(TypedDict):
 class DeepResearchState(TypedDict):
     task_id: str
     topic: str
+    user_query: str
+    url: str
     research_plan: List[ResearchCategoryItem]  # CHANGED
     search_results: List[Dict[str, Any]]
     llm: Any
@@ -334,6 +361,66 @@ class DeepResearchState(TypedDict):
 
 # --- Langgraph Nodes ---
 
+def intent_classifier(state: InitialStepsState) -> InitialStepsState:
+    logger.info("\n\n INTENT CLASSIFIER NODE...\n")
+        
+    output = IntentClassifierAgent(state["user_query"]).run_agent()
+    state["intent_check"] = output.intent
+    state["inten_agent_msg"] = output.agent_msg
+        
+    return state # return the states values to continue the graph
+    
+def webpage_checker(state: InitialStepsState) -> InitialStepsState:
+    logger.info("\n\n WEBPAGE CHECKER NODE...\n")
+    output = WebpageChecker(state["url"]).exists()
+        
+    if output:
+        logger.info("Webpage exists and is valid")
+        state['webpage_msg'] = "Webpage exists and is valid"
+        state["webpage_check"] = True
+    else:
+        logger.error("Webpage does not exist or is invalid")
+        state['webpage_msg'] = "Webpage does not exists or is invalid"
+        state["webpage_check"] = False
+            
+        return state  # return the state to continue the graph
+        
+        
+def _get_output_value(output, key, default=None):
+    if isinstance(output, dict):
+        return output.get(key, default)
+    return getattr(output, key, default)
+
+def snippet_extractor(state: InitialStepsState) -> InitialStepsState:
+    logger.info("\n\n SNIPPET EXTRACTOR  NODE...\n")
+        
+    output = SnippetExtractorAgent(user_prompt=state["user_query"], url=state["url"]).run_agent()
+    state['extracted_snippet_agent_msg'] = _get_output_value(output, "agent_msg", "")
+    state['snippet_check'] = _get_output_value(output, "snippet_check", False)
+    state['extracted_snippet'] = _get_output_value(output, "extracted_snippet", "")
+        
+    return state
+        
+def QA_possibility(state: InitialStepsState) -> InitialStepsState:
+    logger.info("\n\n QA POSSIBILTY CHECKER AGENT...\n")
+
+    output = QAPossibilityChecker(user_prompt=state["user_query"], extracted_snippet=state['extracted_snippet']).run_agent()
+    state["QA_possibility_agent_msg"] = output.agent_msg
+    state["QA_possibility_check"] = output.qa_possibilty
+
+    return state
+
+def prompt_enhancer(state: InitialStepsState) -> InitialStepsState:
+    logger.info("\n\n PROMPT ENHANCER AGENT...\n")
+
+    output = PromptEnhancerAgent(state["user_query"], extracted_snippet=state['extracted_snippet']).run_agent()
+    state['enhanced_prompt_agent_msg'] = output.agent_msg
+    state['enhanced_prompt'] = output.enhanced_prompt
+
+    # print("\n\n\n PROMPT ENHANCER OUTPUT: ", output)
+
+    return state
+
 
 def _load_previous_state(task_id: str, output_dir: str) -> Dict[str, Any]:
     state_updates = {}
@@ -1085,19 +1172,25 @@ def _compile_graph(self) -> StateGraph:
     async def run(
             self,
             topic: str,
+            user_query: str,
+            url: str,
             task_id: Optional[str] = None,
             save_dir: str = "./tmp/deep_research",
             max_parallel_browsers: int = 1,
     ) -> Dict[str, Any]:
         """
-        Starts the deep research process (Async Generator Version).
+        Starts the deep research process.
 
         Args:
             topic: The research topic.
+            user_query: The user's specific query.
+            url: The URL to analyze.
             task_id: Optional existing task ID to resume. If None, a new ID is generated.
+            save_dir: Directory to save research results.
+            max_parallel_browsers: Maximum number of parallel browser instances.
 
-        Yields:
-             Intermediate state updates or messages during execution.
+        Returns:
+            Dictionary containing the research results and status.
         """
         if self.runner and not self.runner.done():
             logger.warning(
@@ -1114,9 +1207,10 @@ async def run(
         output_dir = os.path.join(save_dir, self.current_task_id)
         os.makedirs(output_dir, exist_ok=True)
 
-        logger.info(
-            f"[AsyncGen] Starting research task ID: {self.current_task_id} for topic: '{topic}'"
-        )
+        logger.info(f"[AsyncGen] Starting research task ID: {self.current_task_id}")
+        logger.info(f"[AsyncGen] Topic: {topic}")
+        logger.info(f"[AsyncGen] User Query: {user_query}")
+        logger.info(f"[AsyncGen] URL: {url}")
         logger.info(f"[AsyncGen] Output directory: {output_dir}")
 
         self.stop_event = threading.Event()
@@ -1127,6 +1221,8 @@ async def run(
         initial_state: DeepResearchState = {
             "task_id": self.current_task_id,
             "topic": topic,
+            "user_query": user_query,
+            "url": url,
             "research_plan": [],
             "search_results": [],
             "messages": [],
diff --git a/src/agent/intent_classifier/README.md b/src/agent/intent_classifier/README.md
new file mode 100644
index 00000000..88859a67
--- /dev/null
+++ b/src/agent/intent_classifier/README.md
@@ -0,0 +1,68 @@
+
+The Intent Classifier Agent is the first component in our AI-based QA automation system. Its main role is to decide whether a user's request is about testing a webpage or completely unrelated. This helps the system ignore non-testing prompts early, saving time and resources.
+
+What This Agent Does
+- When a user sends a message like: "Check if the login button works"
+- The Intent Classifier Agent will recognize this as a valid QA task and pass it on to the next agent in the  chain.
+
+- But if the user says: "How do I use ChatGPT to write an essay?"
+- Then the agent will mark it as not related to QA, and the system will stop there.
+
+The agent gives a simple true or false answer in this format:
+
+{ "intent": true }
+or
+{ "intent": false }
+
+How It Works – File by File
+
+1. agent.py – The Agent Logic
+This file contains the class IntentClassifierAgent, which manages the entire logic. It does three main things:
+
+    a. __init__(self, user_prompt: str):
+        This function is called when we first create the agent. It:
+        - Stores the user’s input (their message)
+        - Loads the classification prompt
+        - Tells the system which output structure to expect (a Pydantic class)
+    
+    b. run_agent(self) -> IntentClassifierOutput:
+        This function starts the classification process. It:
+        - Logs that the agent is running
+        - Sends everything (prompt, input, expected output format) to a helper function called run_main_agent which handles actual interaction with the AI model
+        - Returns the result (either true or false)
+
+
+2. prompt.py – The Instruction for the AI
+This file contains a variable called agents_prompt, which is the natural-language instruction given to the AI model. It includes:
+
+    - Clear criteria for what counts as a QA-related task
+    - A few examples of QA prompts vs. non-QA prompts (few shot learning technique)
+    - A placeholder {input} where the user’s query is inserted
+    - This prompt ensures the AI is focused on classifying only QA-relevant commands.
+
+3. output.py – The Output Schema
+This file defines a simple Pydantic model called IntentClassifierOutput:
+
+    - class IntentClassifierOutput(BaseModel):
+        intent: bool
+
+    - This means the final answer must look like this:
+        { "intent": true } 
+               or
+        { "intent": false }
+
+This structured format makes it easy for the next parts of the system to read and act on.
+
+How It Fits in the Big Picture
+This agent is the first step in the AI pipeline.
+
+If the user request is QA-related (intent: true), we move on to the Snippet Extractor Agent.
+If it’s not QA-related (intent: false), the workflow stops early, saving time and computation.
+This makes our system more intelligent, cost-efficient, and focused.
+
+Summary
+Goal: Filter out non-QA requests
+Input: A single user message
+Output: { "intent": true } or { "intent": false }
+Key Files: agent.py, prompt.py, output.py
+Next Step: Trigger next agent only if intent is true
\ No newline at end of file
diff --git a/src/agent/intent_classifier/agent.py b/src/agent/intent_classifier/agent.py
new file mode 100644
index 00000000..498f3746
--- /dev/null
+++ b/src/agent/intent_classifier/agent.py
@@ -0,0 +1,28 @@
+import logging
+from .output import IntentClassifierOutput
+from .prompt import agents_prompt
+from ..main_agent.agent import run_main_agent
+import logging
+logger = logging.getLogger(__name__)
+
+class IntentClassifierAgent:
+    def __init__(self, user_prompt: str) -> None:
+        logger.info("Initializing IntentClassifierAgent")
+        self.output_pydantic_class = IntentClassifierOutput
+        self.user_prompt = user_prompt
+        self.agent_prompt = agents_prompt
+
+    def run_agent(self) -> IntentClassifierOutput:
+        logger.info(f"Running Intent Classifier Agent....")
+        
+        output = run_main_agent(
+            output_pydantic_class=self.output_pydantic_class,
+            agents_name="Intent Classifier Agent",
+            agents_prompt=self.agent_prompt,
+            input_to_prompt={
+                "input": self.user_prompt
+            }
+        )
+        
+        logger.info(f"Intent Classifier Agent finished. Output: {output}")
+        return output
diff --git a/src/agent/intent_classifier/output.py b/src/agent/intent_classifier/output.py
new file mode 100644
index 00000000..7f93b53b
--- /dev/null
+++ b/src/agent/intent_classifier/output.py
@@ -0,0 +1,5 @@
+from pydantic import BaseModel
+
+class IntentClassifierOutput(BaseModel):
+    agent_msg: str
+    intent: bool
\ No newline at end of file
diff --git a/src/agent/intent_classifier/prompt.py b/src/agent/intent_classifier/prompt.py
new file mode 100644
index 00000000..08743124
--- /dev/null
+++ b/src/agent/intent_classifier/prompt.py
@@ -0,0 +1,41 @@
+agents_prompt = """
+You are an intent classification agent. Your task is to determine whether a user's query is related to QA (Quality Assurance) testing of a webpage or not.
+
+Criteria:
+- Classify as **true** if the query relates to QA testing of a webpage/website.
+- Classify as **false** if the query is about something unrelated to webpage QA
+
+Examples:
+
+Example 1:
+User query: "Write a Playwright test that checks if a button is clickable"
+Output: {{ "intent": true }}
+
+Example 2:
+User query: "Verify if the submit form renders correctly on the homepage"
+Output: {{ "intent": true }}
+
+Example 3:
+User query: "How do I use OpenAI's API to generate text?"
+Output: {{ "intent": false }}
+
+Example 4:
+User query: "Can you summarize this PDF document?"
+Output: {{ "intent": false }}
+---
+
+Now classify the following user query:
+User query: "{input}"
+
+Output Structre:
+Return the result as a JSON object in the following format ONLY:
+{ 
+    "agent_msg": "The intent is realted to QA"
+    "intent": true 
+} 
+or 
+{
+    "agent_msg": "The intent is not realted to QA"
+    "intent": false 
+}
+"""
diff --git a/src/agent/main_agent/README.md b/src/agent/main_agent/README.md
new file mode 100644
index 00000000..cb5bd54d
--- /dev/null
+++ b/src/agent/main_agent/README.md
@@ -0,0 +1,139 @@
+Here is a revised, focused `README.md` for your `mainAgent/agent.py` file. It:
+# `mainAgent/agent.py` – Universal AI Agent Executor
+
+This module provides a reusable utility to execute **any AI agent** using LangChain + OpenAI with structured output, retry logic, prompt templating, and logging.
+
+---
+
+## Overview
+
+This file contains:
+
+* `run_main_agent(...)` — Main entry point to run an agent
+* `get_chatprompt_templates(...)` — Builds a LangChain `ChatPromptTemplate` using system and human messages
+* Logging and retry logic
+* Execution data logging via `write_data_to_file(...)`
+
+---
+
+## 🔧 Function: `get_chatprompt_templates(...)`
+
+```python
+def get_chatprompt_templates(agents_prompt: str, input_keys: list[str]) -> ChatPromptTemplate
+```
+
+### Purpose:
+
+Constructs a `ChatPromptTemplate` that defines how the system and user interact with the AI model.
+
+### How It Works:
+
+1. Escapes `{` and `}` in the `agents_prompt` to prevent unintended format errors.
+2. Wraps the `agents_prompt` inside a `SystemMessagePromptTemplate` – this sets the model's role/instructions.
+3. Builds a `HumanMessagePromptTemplate` from input keys like:
+
+4. Combines both into a single `ChatPromptTemplate`, used as the model’s full prompt.
+
+---
+
+## Function: `run_main_agent(...)`
+
+```python
+def run_main_agent(
+    output_pydantic_class,
+    agents_name: str,
+    agents_prompt: str,
+    input_to_prompt: dict,
+    model_name: Optional[AIModel] = AIModel.GPT_4O,
+) -> Any
+```
+
+### Purpose:
+
+Runs a full agent pipeline: builds a prompt, invokes an OpenAI model with structured output, retries if needed, and logs the results.
+
+### Parameters:
+
+* `output_pydantic_class`: A Pydantic model that defines the structure of the expected AI output.
+* `agents_name`: String name of the agent (used for logs and file output).
+* `agents_prompt`: Instruction string that guides the AI’s behavior.
+* `input_to_prompt`: Dictionary of inputs (e.g., `{"user_query": ..., "url": ...}`) to be inserted into the prompt.
+* `model_name`: (Optional) Enum value representing the LLM to use (default: GPT-4o).
+
+---
+
+### Core Logic Steps:
+
+#### 1. **Model Initialization**
+
+```python
+ChatOpenAI(...).with_structured_output(output_pydantic_class)
+```
+
+* Initializes an OpenAI chat model wrapped with `with_structured_output`, ensuring output adheres to the given Pydantic schema.
+
+#### 2. **Prompt Construction**
+
+```python
+chat_prompt = get_chatprompt_templates(agents_prompt, input_to_prompt.keys())
+```
+
+* Combines system instructions and user input fields into a structured prompt.
+
+#### 3. **LangChain `Runnable`**
+
+```python
+chain = chat_prompt | llm_model
+```
+
+* Constructs a LangChain chain: a pipeline where the formatted prompt is passed to the model.
+
+#### 4. **Retry Logic (Up to 5 Attempts)**
+
+```python
+while MAX_TRIES <= 5:
+```
+
+* If the model throws an exception (e.g., parsing, rate limits), it retries with modified prompt.
+* The original prompt is updated to include the error message as context, which helps the model avoid repeating the same failure.
+
+```python
+error_context = f"{agents_prompt}\n\n[ERROR MESSAGE FOR AGENT CONTEXT]: {str(e)}"
+```
+
+#### 5. **Logging**
+
+* Logs the attempt number, error if any, and success/failure using the `logging` module.
+* Measures total time taken using `time.time()`.
+
+#### 6. **Data Output**
+
+```python
+write_data_to_file(...)
+```
+
+* Saves the execution metadata and results into a structured JSON file.
+* Includes:
+
+  * Agent name
+  * Number of tries
+  * Time taken
+  * Input values
+  * Final output
+
+---
+
+This enables later analysis, debugging, or benchmarking.
+
+---
+
+## Summary
+
+This module abstracts away the complexity of:
+
+* Prompt formatting
+* Structured model responses
+* Error handling and retry logic
+* Timing and logging
+
+It lets developers easily run any prompt-based AI agent with clean, consistent behavior and outputs.
\ No newline at end of file
diff --git a/src/agent/main_agent/agent.py b/src/agent/main_agent/agent.py
new file mode 100644
index 00000000..d686f9ff
--- /dev/null
+++ b/src/agent/main_agent/agent.py
@@ -0,0 +1,85 @@
+from ...models.models import AIModel
+from typing import Optional, Any
+import json
+import time
+import os
+import logging
+from langchain_openai import ChatOpenAI
+from dotenv import load_dotenv
+from langchain.prompts import PromptTemplate
+from langchain.output_parsers import PydanticOutputParser
+from langchain.prompts import ChatPromptTemplate, SystemMessagePromptTemplate, HumanMessagePromptTemplate, AIMessagePromptTemplate
+from ...outputdata.output_data import write_data_to_file
+load_dotenv()
+
+import logging
+logger = logging.getLogger(__name__)
+
+def get_chatprompt_templates(agents_prompt: str, input_keys: list[str]) -> ChatPromptTemplate:
+    agents_prompt = agents_prompt.replace("{", "{{").replace("}", "}}")
+    agents_prompt_template = SystemMessagePromptTemplate.from_template(agents_prompt)
+    
+    #combining all inputs into a single human message with named placeholders
+    input_text = "\n".join([f"{key}: {{{key}}}" for key in input_keys])
+    user_input_template = HumanMessagePromptTemplate.from_template(input_text)
+
+    return ChatPromptTemplate.from_messages([
+        agents_prompt_template,
+        user_input_template
+    ])
+    
+def run_main_agent(
+    output_pydantic_class,
+    agents_name: str,
+    agents_prompt: str,
+    input_to_prompt: dict,
+    model_name: Optional[AIModel] = AIModel.GPT_4O,
+    ) -> Any:
+
+    llm_model = ChatOpenAI(model_name=model_name.value).with_structured_output(output_pydantic_class)
+    logger.info(f"Running agent '{agents_name}' with model: {model_name.value}")
+    
+    chat_prompt = get_chatprompt_templates(agents_prompt, list(input_to_prompt.keys()))
+  
+    chain = chat_prompt | llm_model 
+
+    MAX_TRIES = 1
+    output = None
+    start_time = time.time()
+        
+    while MAX_TRIES <= 5:
+        try:
+            logger.info(f"Attempt {MAX_TRIES} for agent '{agents_name}'")
+           
+            output = chain.invoke(input_to_prompt)
+            
+            logger.info(f"Agent '{agents_name}' succeeded on attempt {MAX_TRIES}")
+            break
+        except Exception as e:
+            logger.error(f"Error in agent '{agents_name}' on attempt {MAX_TRIES}: {e}")
+            
+            #Appending error message to the prompt for the next try
+            error_context = f"{agents_prompt}\n\n[ERROR MESSAGE FOR AGENT CONTEXT]: {str(e)}"
+            chat_prompt = get_chatprompt_templates(error_context, list(input_to_prompt.keys()))
+            chain = chat_prompt | llm_model 
+
+            MAX_TRIES += 1
+
+    end_time = time.time()
+    time_taken = end_time - start_time
+    logger.info(f"Agent '{agents_name}' finished execution in {time_taken:.2f} seconds with {MAX_TRIES} tries.")
+    
+    # print("\n\n\n\n OUTPUT: ", output, "\n\n\n\n")
+    
+    #lets dump the data into json
+    write_data_to_file(
+        agents_name=agents_name,
+        number_of_tries=MAX_TRIES,
+        time_taken=time_taken,
+        user_input=input_to_prompt,
+        output=output
+    )
+    
+    # print("\n\n\n\n OUTPOUT: ", output , "\n\n\n\n")
+    logger.info(f"Agent '{agents_name}' execution data written to agent_execution.json")
+    return output
\ No newline at end of file
diff --git a/src/agent/prompt_enahncer/README.md b/src/agent/prompt_enahncer/README.md
new file mode 100644
index 00000000..dd5491dc
--- /dev/null
+++ b/src/agent/prompt_enahncer/README.md
@@ -0,0 +1,121 @@
+The **=Prompt Enhancer Agent** is a key component in our AI-based QA automation system. Its job is to take a user's basic QA prompt (like "test the signup form") and turn it into a clear, step-by-step testing plan. This helps the system better understand what exactly needs to be tested on the webpage.
+
+
+## What This Agent Does
+* When a user says:
+  **"Check if the signup form works"**
+
+  The Prompt Enhancer Agent transforms that into something like:
+  **"1. Enter a test email. 2. Fill out the password. 3. Click submit. 4. Check for a success message."**
+
+* It uses the **HTML snippet** from the webpage to make the steps more relevant.
+
+* This makes the instructions much more helpful for the next agents in the chain that will actually run the tests.
+
+* The final result looks like this:
+
+```json
+{
+  "agent_msg": "The prompt has been enhanced",
+  "enhanced_prompt": "1. Do this. 2. Do that. 3. Check result..."
+}
+```
+
+---
+
+## How It Works – File by File
+
+### 1. `agent.py` – The Agent Logic
+
+This file contains the class `PromptEnhancerAgent`, which controls everything this agent does. It has two main parts:
+
+#### a. `__init__(self, user_prompt: str, extracted_snippet: str)`
+
+This function runs when we first create the agent. It:
+
+* Stores the **user’s original prompt**
+* Stores the **extracted HTML snippet** from the webpage
+* Loads the agent prompts (`agents_prompt`)
+* Sets the expected output format using the Pydantic model `PromptEnhancerOutput`
+
+#### b. `run_agent(self) -> PromptEnhancerOutput`
+
+This is where the agent actually runs. It:
+
+* Logs that it started
+* Sends the instructions, inputs, and output schema to the shared helper function `run_main_agent` inside of main agent
+* Receives the enhanced prompt from the AI and returns it
+
+---
+
+### 2. `prompt.py` – The Instructions for the AI
+
+This file contains a variable named `agents_prompt` — a detailed instruction written in natural language, telling the AI model how to do its job.
+
+It ends with this output format:
+
+```json
+{
+  "agent_msg": "The prompt has been enhanced",
+  "enhanced_prompt": "1. ... 2. ... 3. ..."
+}
+```
+
+This ensures the output is clean and easy for the next steps in the system to use.
+
+---
+
+### 3. `output.py` – The Output Schema
+
+This file defines the format of the result using a Pydantic class:
+
+```python
+class PromptEnhancerOutput(BaseModel):
+    agent_msg: str
+    enhanced_prompt: str
+```
+
+This means the final result will always contain:
+
+* A message confirming that the prompt was enhanced
+* A step-by-step version of the original QA request
+
+Example:
+
+```json
+{
+  "agent_msg": "The prompt has been enhanced",
+  "enhanced_prompt": "1. Enter your email. 2. Enter a password. 3. Click login."
+}
+```
+
+---
+
+## How It Fits in the Big Picture
+
+This agent runs **after** we’ve confirmed that the user request is a valid QA task (using the Intent Classifier Agent), and we’ve extracted the right part of the webpage (via the Snippet Extractor Agent).
+
+Its job is to **translate vague user prompts into clear QA instructions** that the final test executor can follow without confusion.
+
+By enhancing prompts, this agent makes the entire testing process more effective and accurate.
+
+---
+
+## 📌 Summary
+
+* **Goal**: Turn a vague QA prompt into detailed, step-by-step test instructions
+* **Input**:
+
+  * A user’s original QA prompt
+  * A snippet of webpage HTML
+* **Output**:
+
+```json
+{
+  "agent_msg": "The prompt has been enhanced",
+  "enhanced_prompt": "1. Step one. 2. Step two. ..."
+}
+```
+
+* **Key Files**: `agent.py`, `prompt.py`, `output.py`
+* **Next Step**: Send the enhanced prompt to the QA execution engine or possibility checker
\ No newline at end of file
diff --git a/src/agent/prompt_enahncer/agent.py b/src/agent/prompt_enahncer/agent.py
new file mode 100644
index 00000000..3107a816
--- /dev/null
+++ b/src/agent/prompt_enahncer/agent.py
@@ -0,0 +1,28 @@
+import logging
+from .output import PromptEnhancerOutput
+from .prompt import agents_prompt
+from ..main_agent.agent import run_main_agent
+import logging
+logger = logging.getLogger(__name__)
+
+class PromptEnhancerAgent:
+    def __init__(self, user_prompt: str, extracted_snippet: str) -> None:
+        logger.info("Initializing PromptEnhancerAgent...")
+        self.output_pydantic_class = PromptEnhancerOutput
+        self.user_prompt = user_prompt
+        self.agent_prompt = agents_prompt
+        self.extracted_snippet = extracted_snippet
+
+    def run_agent(self) -> PromptEnhancerOutput:        
+        output = run_main_agent(
+            output_pydantic_class=self.output_pydantic_class,
+            agents_name="Prompt Enhancer Agent",
+            agents_prompt=self.agent_prompt,
+            input_to_prompt={
+                "input": self.user_prompt,
+                "extracted_snippet": self.extracted_snippet
+            }
+        )
+        
+        logger.info(f"Prompt Enhancers Agent finished...")
+        return output
\ No newline at end of file
diff --git a/src/agent/prompt_enahncer/output.py b/src/agent/prompt_enahncer/output.py
new file mode 100644
index 00000000..e40291cb
--- /dev/null
+++ b/src/agent/prompt_enahncer/output.py
@@ -0,0 +1,5 @@
+from pydantic import BaseModel
+
+class PromptEnhancerOutput(BaseModel):
+    agent_msg: str
+    enhanced_prompt: str
diff --git a/src/agent/prompt_enahncer/prompt.py b/src/agent/prompt_enahncer/prompt.py
new file mode 100644
index 00000000..c8002d7e
--- /dev/null
+++ b/src/agent/prompt_enahncer/prompt.py
@@ -0,0 +1,22 @@
+agents_prompt = """ You are an prompt enahncer agent with over 10 years of experince in ehancing user prompt for SQA purposes.
+
+You will be provided with a user query which primarily will be a qa test to perform and extracted web snippet on which the tests will be performed.
+
+Your job is to analyse the user prompt, and enahnce it to perform best sqa on the web snippet accordingly.
+
+User QA prompt: "{input}"
+Extrated Web snippet: "{extracted_snippet}"
+
+- You can always enter some sample data to test IF not entered by the user
+- Always make sure not too make the enahnced prompt too lengthy
+- The enhanced prompt must be in numbers like 1. 2.   and each number must represent the step.
+
+- Strictly make sure that the the user prompt is only instructions regarding to perform QA only.
+
+Output Structure:
+Return the result as a JSON object in the following format ONLY:
+{ 
+    "agent_msg": "The prompt has been enhanced"
+    "enhanced_prompt": " (the enahnced prompt)"
+}
+"""
\ No newline at end of file
diff --git a/src/agent/qa_possibilty_checker/README.md b/src/agent/qa_possibilty_checker/README.md
new file mode 100644
index 00000000..809952da
--- /dev/null
+++ b/src/agent/qa_possibilty_checker/README.md
@@ -0,0 +1,143 @@
+The **QA Possibility Checker Agent** is like a smart gatekeeper in our AI-based QA automation system. Its job is to check whether the test the user wants to perform can actually be done on the current webpage snippet.
+
+
+## What This Agent Does
+
+* When a user says something like:
+  **"Check if the 'Submit' button works"**
+
+  And the webpage snippet actually includes a `<button>Submit</button>` –
+  ✅ The agent will say the test is **possible**.
+
+* But if the user says:
+  **"Test the payment gateway"**
+  and the snippet has no signs of payment features –
+  ❌ The agent will say the test is **not possible**.
+
+The result looks like one of these:
+
+```json
+{
+  "agent_msg": "QA is possible on the extracted Snippet",
+  "qa_possibilty": true
+}
+```
+
+or
+
+```json
+{
+  "agent_msg": "QA is not possible on the extracted Snippet",
+  "qa_possibilty": false
+}
+```
+
+---
+
+## How It Works – File by File
+
+### 1. `agent.py` – The Agent Logic
+
+This file contains the class `QAPossibilityChecker`, which runs the entire logic for checking QA feasibility. It has two main parts:
+
+#### a. `__init__(self, user_prompt: str, extracted_snippet: str)`
+
+This function runs when the agent is first created. It:
+
+* Stores the **user's QA prompt** (like "test the login form")
+* Stores the **extracted HTML snippet** from the webpage
+* Loads the instruction prompt from `prompt.py`
+* Sets the expected response format using the Pydantic model `QAPossibiltyChecker`
+
+#### b. `run_agent(self) -> QAPossibiltyChecker`
+
+This is where the real work happens. It:
+
+* Logs that the agent has started
+* Sends all the inputs and instructions to `run_main_agent`, which interacts with the AI model
+* Logs and returns the result (either `true` or `false`)
+
+### 2. `prompt.py` – The Instructions for the AI
+
+This file holds a long string named `agents_prompt` — it tells the AI model **exactly what to do**.
+
+Example logic it follows:
+
+If the prompt says "Click the signup button", but there's no `<button>` or form in the HTML snippet → return false.
+
+The format is always like this:
+
+```json
+{
+  "agent_msg": "QA is possible on the extracted Snippet",
+  "qa_possibilty": true
+}
+```
+
+or
+
+```json
+{
+  "agent_msg": "QA is not possible on the extracted Snippet",
+  "qa_possibilty": false
+}
+```
+
+---
+
+### 3. `output.py` – The Output Schema
+
+This file defines a simple Pydantic class that sets the structure for the agent's response:
+
+```python
+class QAPossibiltyChecker(BaseModel):
+    agent_msg: str
+    qa_possibilty: bool
+```
+
+* `agent_msg` gives a short explanation
+* `qa_possibilty` is the actual yes/no answer (true or false)
+
+Example valid output:
+
+```json
+{
+  "agent_msg": "QA is not possible on the extracted Snippet",
+  "qa_possibilty": false
+}
+```
+
+---
+
+## How It Fits in the Big Picture
+
+This agent comes **after** we’ve enhanced the user’s prompt and identified what part of the page to test.
+
+Its job is to **double-check**:
+
+“Is this test actually doable on the provided HTML snippet?”
+
+This helps us avoid wasting time trying to run tests on things that aren’t even present in the UI.
+
+
+## Summary
+
+* **Goal**: Check if a given QA test can be run on the extracted webpage snippet
+
+* **Input**:
+
+  * A user prompt (like "test the search bar")
+  * A portion of the webpage HTML
+
+* **Output**:
+
+```json
+{
+  "agent_msg": "...",
+  "qa_possibilty": true/false
+}
+```
+
+* **Key Files**: `agent.py`, `prompt.py`, `output.py`
+* **Next Step**: If QA is possible → proceed to test execution. If not → skip or alert the user.
+
diff --git a/src/agent/qa_possibilty_checker/agent.py b/src/agent/qa_possibilty_checker/agent.py
new file mode 100644
index 00000000..1c539b54
--- /dev/null
+++ b/src/agent/qa_possibilty_checker/agent.py
@@ -0,0 +1,29 @@
+import logging
+from .output import QAPossibiltyChecker
+from .prompt import agents_prompt
+from ..main_agent.agent import run_main_agent
+import logging
+logger = logging.getLogger(__name__)
+
+class QAPossibilityChecker:
+    def __init__(self, user_prompt: str, extracted_snippet: str) -> None:
+        logger.info("Initializing QAPossibilityChecker")
+        self.output_pydantic_class = QAPossibiltyChecker
+        self.user_prompt = user_prompt
+        self.agent_prompt = agents_prompt
+        self.extracted_snippet = extracted_snippet
+
+    def run_agent(self) -> QAPossibiltyChecker:
+
+        output = run_main_agent(
+            output_pydantic_class=self.output_pydantic_class,
+            agents_name="QA POSSIBILTY CHECKER",
+            agents_prompt=self.agent_prompt,
+            input_to_prompt={
+                "input": self.user_prompt,
+                "extracted_snippet": self.extracted_snippet
+            }
+        )
+        
+        logger.info(f"QA Possibilty Checker finished Output...: {output}")
+        return output
diff --git a/src/agent/qa_possibilty_checker/output.py b/src/agent/qa_possibilty_checker/output.py
new file mode 100644
index 00000000..3700315f
--- /dev/null
+++ b/src/agent/qa_possibilty_checker/output.py
@@ -0,0 +1,5 @@
+from pydantic import BaseModel
+
+class QAPossibiltyChecker(BaseModel):
+    agent_msg: str
+    qa_possibilty: bool
\ No newline at end of file
diff --git a/src/agent/qa_possibilty_checker/prompt.py b/src/agent/qa_possibilty_checker/prompt.py
new file mode 100644
index 00000000..a2c7fcf4
--- /dev/null
+++ b/src/agent/qa_possibilty_checker/prompt.py
@@ -0,0 +1,24 @@
+agents_prompt = """
+You are an amazing QA possibilty checker agent and your job is to classify if the QA test are possibile for a web page snippet or not.
+
+You will be provided with a -
+1. user prompt which are going to be tests.
+2. web page snippet which will be the extracted snippet from the web page that is to be tested.
+
+Analyse the user prompt and the extracted webpage snippet and classify if the QA enterd by the user are possible on the web snippet or not.
+
+' User prompt (QA prompt) ': {user_prompt}
+' Extracte Web Page Snippet ': ' {extracted_snippet} '
+
+Output Structure:
+eturn the result as a JSON object in the following format ONLY:
+{ 
+    "agent_msg": "QA is possible on the extracted Snippet"
+    "qa_possibilty": true 
+}
+or 
+{
+    "agent_msg": "QA is not possible on the extracted Snippet"
+    "qa_possibilty": false 
+}
+"""
\ No newline at end of file
diff --git a/src/agent/snippet_extractor/README.md b/src/agent/snippet_extractor/README.md
new file mode 100644
index 00000000..d8314555
--- /dev/null
+++ b/src/agent/snippet_extractor/README.md
@@ -0,0 +1,167 @@
+The Snippet Extractor Agent is responsible for **finding and returning the most relevant HTML snippet** from a webpage based on a user’s prompt. It is part of the larger `nextSQA` system for automating QA tasks on websites.
+
+---
+
+## Files Overview
+
+### `agent.py`
+
+This is the main engine. It:
+- Loads the webpage.
+- Splits the HTML into manageable parts (chunks).
+- Uses AI to figure out which chunk contains the element the user wants.
+- Returns the matching snippet.
+
+### `prompt.py`
+
+This contains the instructions given to the AI (LLM). It:
+- Tells the AI what to look for in the webpage HTML.
+- Includes example prompts like “test this form” or “click the subscribe button”.
+- Provides expected output format.
+
+### `output.py`
+
+Defines the output structure using Pydantic. The AI must return:
+```json
+{
+  "agent_msg": "The snippet ... has been extracted",
+  "extracted_snippet": "<html>...</html>",
+  "snippet_check": true
+}
+````
+
+---
+
+## How It Works (Step by Step)
+
+1. The agent opens the webpage
+2. It extracts the webpages code and saves into webpage_code.html under webpage directory.
+3. It breaks the HTML into chunks, making sure each part is small enough for the AI to handle.
+4. It sends each chunk + user prompt to the AI.
+5. If the AI finds a match, the agent stops and returns the matching HTML snippet.
+6. If nothing is found after checking all parts, it returns a failure response.
+
+---
+
+## Functions Explained
+
+### `__init__(user_prompt, url)`
+
+Sets up the agent with the user prompt and the webpage URL.
+
+---
+
+### `extract_webpage()`
+
+**What it does:**
+
+* Opens the webpage using Playwright (no GUI).
+* Grabs all the HTML code.
+* calls the store_webpage_code() functionxs
+
+**Why it matters:**
+We need the actual webpage content to search for the element the user asked about.
+
+---
+
+### `store_webpage_code()`
+
+**What it does:**
+
+* Saves the downloaded webpage HTML into `webpage/webpage_code.html`.
+
+**Why it matters:**
+It gives us a backup copy that can be used for testing, debugging, or sharing.
+
+---
+
+### `chunk_webpage_code()`
+
+**What it does:**
+
+* Breaks the HTML code into smaller "chunks" that fit under a token limit.
+* Uses BeautifulSoup to identify sections inside `<body>`.
+* Keeps tags and structure intact.
+* Handles very large elements by recursively breaking them into smaller ones.
+
+**Why it matters:**
+The AI can’t process huge chunks due to token limit. We have to send small, meaningful pieces instead.
+
+**Smart Features:**
+
+* Uses the model’s tokenizer to estimate token size.
+* Avoids cutting in the middle of tags.
+* Tries to group related elements together when possible.
+
+---
+
+### `run_agent()`
+
+**What it does:**
+
+* Runs the full process:
+
+  1. Extract webpage.
+  2. Chunk the HTML.
+  3. Send each chunk to the AI.
+  4. Return the first valid snippet found.
+
+**Fallback:**
+If nothing is found, returns a message saying no snippet was found.
+
+---
+
+## Prompt Examples
+
+**Prompt 1:**
+
+> Test this form
+> 🔎 Will extract only the HTML related to a `<form>`.
+
+**Prompt 2:**
+
+> Click the subscribe button
+> 🔎 Will extract the section containing the `<button>` for subscribing.
+
+---
+
+## ✅ Output Format (Returned by Agent)
+
+If snippet is found:
+
+```json
+{
+  "agent_msg": "The snippet ... has been extracted",
+  "extracted_snippet": "<section>...</section>",
+  "snippet_check": true
+}
+```
+
+If not found:
+
+```json
+{
+  "agent_msg": "Unable to find the relevant snippet",
+  "extracted_snippet": "No snippet found",
+  "snippet_check": false
+}
+```
+
+---
+
+## Technologies Used
+
+* GPT (via LangChain)
+* Playwright (for browsing web pages)
+* BeautifulSoup (for parsing HTML)
+* tiktoken (for counting tokens)
+* Pydantic (for structured output)
+
+---
+
+You can think of this agent like this.:
+
+* Visits a webpage,
+* Looks for the thing you asked about (like a form or button),
+* Cuts it out from the extracted entire webpage code,
+* And gives it to you in a neat little package.
diff --git a/src/agent/snippet_extractor/agent.py b/src/agent/snippet_extractor/agent.py
new file mode 100644
index 00000000..ec04e703
--- /dev/null
+++ b/src/agent/snippet_extractor/agent.py
@@ -0,0 +1,171 @@
+import logging
+from .output import SnippetExtractorOutput
+from .prompt import agents_prompt
+from ..main_agent.agent import run_main_agent
+from playwright.sync_api import sync_playwright
+from bs4 import BeautifulSoup
+import os
+import tiktoken
+
+logger = logging.getLogger(__name__)
+
+class SnippetExtractorAgent:
+    def __init__(self, user_prompt: str, url: str) -> None:
+        logger.info("Initializing SnippetExtractorAgent")
+        self.output_pydantic_class = SnippetExtractorOutput
+        self.user_prompt = user_prompt
+        self.agent_prompt = agents_prompt
+        self.url = url
+
+    def store_webpage_code(self) -> bool:
+        logger.info("Storing webpage code into webpage_code.html under webpage directory....")
+        try:
+            base_dir = os.path.dirname(os.path.abspath(__file__))
+            webpage_dir = os.path.abspath(os.path.join(base_dir, '..', '..', 'webpage'))
+            file_path = os.path.join(webpage_dir, "webpage_code.html")
+
+            with open(file_path, "w", encoding="utf-8") as f:
+                f.write(self.webpage_code)
+            logger.info(f"Webpage code stored at {file_path}")
+            return True
+        except Exception as e:
+            logger.error(f"Error storing webpage code: {e}")
+            return False
+
+    def extract_webpage(self) -> bool:
+        logger.info(f"Extracting webpage for URL: {self.url}")
+        self.webpage_code = ""
+        try:
+            with sync_playwright() as p:
+                browser = p.chromium.launch(headless=True)
+                page = browser.new_page()
+                page.goto(self.url)
+                content = page.content()
+                logger.info("Webpage content fetched successfully.")
+                browser.close()
+                logger.info("Browser closed.")
+                self.webpage_code = content
+
+            if self.webpage_code == "":
+                return False
+
+            return self.store_webpage_code()
+
+        except Exception as e:
+            logger.error(f"Error extracting webpage: {e}")
+            return False
+
+    def chunk_webpage_code(self, max_total_tokens=6000, overlap_tokens=1500, model="gpt-4o"):
+        enc = tiktoken.encoding_for_model(model)
+        soup = BeautifulSoup(self.webpage_code, 'html.parser')
+        body = soup.body
+        if not body:
+            logger.warning("No <body> tag found in HTML; returning full code as single chunk.")
+            return [self.webpage_code]
+
+        prompt_tokens = len(enc.encode(self.user_prompt or ""))
+        max_chunk_tokens = max_total_tokens - prompt_tokens
+        if max_chunk_tokens <= 0:
+            raise ValueError("max_total_tokens must be greater than user prompt token length")
+
+        chunks = []
+        current_chunk_elements = []
+        current_chunk_token_count = 0
+
+        def flush_chunk():
+            nonlocal current_chunk_elements, current_chunk_token_count
+            if current_chunk_elements:
+                chunk_html = "".join(str(el) for el in current_chunk_elements)
+                chunks.append(chunk_html)
+                current_chunk_elements = []
+                current_chunk_token_count = 0
+
+        def chunk_element(element):
+            nonlocal current_chunk_elements, current_chunk_token_count
+
+            element_html = str(element)
+            element_tokens = len(enc.encode(element_html))
+
+            if element_tokens > max_chunk_tokens:
+                #element is too large, try recursively splitting children
+                children = list(element.children)
+                if not children:
+                    #if no children: splitting string content into token-sized slices
+                    if hasattr(element, 'string') and element.string:
+                        raw_text = str(element.string)
+                        tokenized = enc.encode(raw_text)
+                        for i in range(0, len(tokenized), max_chunk_tokens):
+                            chunk_text = enc.decode(tokenized[i:i + max_chunk_tokens])
+                            chunks.append(f"<{element.name}>{chunk_text}</{element.name}>")
+                    else:
+                        logger.warning("Element too large and no children or string to split; skipping.")
+                    return
+
+                #flush current chunk before recursive split
+                if current_chunk_elements:
+                    flush_chunk()
+
+                #recursively chunk each child element
+                for child in children:
+                    chunk_element(child)
+
+            else:
+                #element fits in chunk, add or flush then add
+                if current_chunk_token_count + element_tokens <= max_chunk_tokens:
+                    current_chunk_elements.append(element)
+                    current_chunk_token_count += element_tokens
+                else:
+                    flush_chunk()
+                    current_chunk_elements.append(element)
+                    current_chunk_token_count = element_tokens
+
+        #start chunking all top-level body elements
+        for el in body.find_all(recursive=False):
+            chunk_element(el)
+
+        #flush last chunk if any
+        flush_chunk()
+
+        logger.info(f"Chunked webpage into {len(chunks)} parts, max tokens per chunk (excluding prompt): {max_chunk_tokens}")
+        return chunks
+
+
+    def run_agent(self) -> SnippetExtractorOutput:
+        logger.info(f"Running Snippet Extractor Agent....")
+
+        if not self.extract_webpage():
+            return {
+                'actuall_snippet': "",
+                "snippet_check": False,
+            }
+
+        chunks = self.chunk_webpage_code()
+
+        enc = tiktoken.encoding_for_model("gpt-4o")
+
+        for i, chunk in enumerate(chunks):
+            logger.info(f"Processing chunk {i+1}/{len(chunks)}")
+
+            prompt_tokens = len(enc.encode(self.user_prompt))
+            chunk_tokens = len(enc.encode(chunk))
+            total_tokens = prompt_tokens + chunk_tokens
+            logger.info(f"Token usage: prompt={prompt_tokens}, chunk={chunk_tokens}, total={total_tokens}")
+
+            output = run_main_agent(
+                output_pydantic_class=self.output_pydantic_class,
+                agents_name="Snippet Extractor Agent",
+                agents_prompt=self.agent_prompt,
+                input_to_prompt={
+                    'input': self.user_prompt,
+                    'webpage_code': chunk
+                }
+            )
+            if output.snippet_check:
+                logger.info(f"Snippet found in chunk {i+1}")
+                return output
+
+        logger.info("No valid snippet found after processing all chunks.")
+        return {
+            'actuall_snippet': "",
+            "snippet_check": False,
+        }
\ No newline at end of file
diff --git a/src/agent/snippet_extractor/output.py b/src/agent/snippet_extractor/output.py
new file mode 100644
index 00000000..f24e57e7
--- /dev/null
+++ b/src/agent/snippet_extractor/output.py
@@ -0,0 +1,6 @@
+from pydantic import BaseModel
+
+class SnippetExtractorOutput(BaseModel):
+    agent_msg: str
+    extracted_snippet: str
+    snippet_check: bool
\ No newline at end of file
diff --git a/src/agent/snippet_extractor/prompt.py b/src/agent/snippet_extractor/prompt.py
new file mode 100644
index 00000000..315cb70b
--- /dev/null
+++ b/src/agent/snippet_extractor/prompt.py
@@ -0,0 +1,184 @@
+agents_prompt = """
+You are a helpful Snippet Extractor Agent that extracts the most relevant and concise snippet from a webpage that matches a user’s QA-related prompt.
+
+You will be provided with:
+- A user prompt, which describes a UI element or functionality to test (e.g., "test this form", "click the button", "order this item").
+- A webpage code, which contains HTML elements for you to search and extract from.
+
+Your job is to:
+- Identify the most relevant HTML snippet the user wants to test.
+- Return that exact snippet, preserving tags and structure.
+- Avoid full-page dumps or irrelevant sections.
+- If no relevant content is found, indicate it clearly.
+
+Examples
+
+Example 1:
+User Prompt: Test this form
+
+Webpage Code:
+<html>
+  <head>
+    <title>My App</title>
+    <script src="analytics.js"></script>
+    <style>
+      body { font-family: Arial; }
+    </style>
+  </head>
+  <body>
+    <nav>
+      <ul>
+        <li><a href="/home">Home</a></li>
+        <li><a href="/about">About</a></li>
+      </ul>
+    </nav>
+
+    <header>
+      <h1>Welcome to My Application</h1>
+      <p>This is the best platform to manage your tasks.</p>
+    </header>
+
+    <aside>
+      <p>Advertisement: Buy now and get 50percent off!</p>
+    </aside>
+
+    <main>
+      <section class="intro">
+        <p>Please login to continue</p>
+      </section>
+
+      <section class="login">
+        <form action="/submit" method="post">
+          <label for="username">Username:</label>
+          <input type="text" id="username" name="username" />
+          <label for="password">Password:</label>
+          <input type="password" id="password" name="password" />
+          <button type="submit">Login</button>
+        </form>
+      </section>
+
+      <section class="news">
+        <h2>Latest News</h2>
+        <p>We just launched a new feature!</p>
+      </section>
+    </main>
+
+    <footer>
+      <p>&copy; 2025 My App. All rights reserved.</p>
+    </footer>
+  </body>
+</html>
+
+
+{
+  "actuall_snippet": " <section class="login">
+        <form action="/submit" method="post">
+          <label for="username">Username:</label>
+          <input type="text" id="username" name="username" />
+          <label for="password">Password:</label>
+          <input type="password" id="password" name="password" />
+          <button type="submit">Login</button>
+        </form>
+      </section>",
+      
+  "snippet_check": true
+}
+
+Example 2:
+User Prompt: Test the subscribe button
+
+Webpage Code:
+<html>
+  <head>
+    <title>News Portal</title>
+    <script>
+      function openModal() {
+        // opens modal
+      }
+      function subscribe() {
+        alert("Subscribed!");
+      }
+    </script>
+  </head>
+  <body>
+    <nav>
+      <ul>
+        <li><a href="/">Home</a></li>
+        <li><a href="/trending">Trending</a></li>
+      </ul>
+    </nav>
+
+    <div id="ad-banner">
+      <p>Buy 1 Get 1 Free!</p>
+    </div>
+
+    <header>
+      <h1>Today's Highlights</h1>
+      <button onclick="openModal()">Learn More</button>
+    </header>
+
+    <main>
+      <article>
+        <h2>Breaking News</h2>
+        <p>Some important event happened...</p>
+      </article>
+
+      <section class="newsletter-signup">
+        <h3>Stay Updated!</h3>
+        <p>Subscribe to our daily newsletter.</p>
+        <div class="cta">
+          <button onclick="subscribe()">Subscribe</button>
+        </div>
+      </section>
+
+      <section class="feedback">
+        <h3>Feedback</h3>
+        <button onclick="alert('Thanks!')">Send Feedback</button>
+      </section>
+    </main>
+
+    <footer>
+      <p>&copy; 2025 News Portal</p>
+    </footer>
+  </body>
+</html>
+
+{
+  "actuall_snippet": "  <section class="newsletter-signup">
+        <h3>Stay Updated!</h3>
+        <p>Subscribe to our daily newsletter.</p>
+        <div class="cta">
+          <button onclick="subscribe()">Subscribe</button>
+        </div>
+      </section>",
+
+  "snippet_check": true
+}
+
+Now handle the real task:
+
+User Prompt: " {input} " 
+Webpage Code: " {webpage_code} "
+
+- Alwyas make sure only to extract the correct element according to the user prompt.
+
+If user asks to extract a particular button, extract only that paticular button, if an image, extract that image, if a form, extract that form, if a product only extract that product, if anything else, only extract that particular thing only.
+
+In some cases, there are elements that are clickable as well, for instance and Image or product might be clickable e.t.c. so you can extract the proper element that also shows this picture or anything is clickable e.t.c.
+
+Output format:
+
+Respond with a JSON object like this:
+{ 
+  "agent_msg": "The snippet ... has been extracted"
+  "extracted_snippet": "<html>...</html>",
+  "snippet_check": true
+}
+
+If no relevant content is found, return:
+{
+  "agent_msg": "Unbale to find the relevant snippet"
+  "extracted_snippet": "No snippet found",
+  "snippet_check": false
+}
+"""
\ No newline at end of file
diff --git a/src/models/models.py b/src/models/models.py
new file mode 100644
index 00000000..afa76f71
--- /dev/null
+++ b/src/models/models.py
@@ -0,0 +1,7 @@
+#make enums of models like gpt4 gpt4o
+from enum import Enum
+from typing import List, Dict, Any
+
+class AIModel(Enum):
+    GPT_4 = "gpt-4"
+    GPT_4O = "gpt-4o"
\ No newline at end of file
diff --git a/src/outputdata/agent_execution.json b/src/outputdata/agent_execution.json
new file mode 100644
index 00000000..875b02e5
--- /dev/null
+++ b/src/outputdata/agent_execution.json
@@ -0,0 +1,16 @@
+[
+    {
+        "Agent Name": "Intent Classifier Agent",
+        "Number of tries": 1,
+        "TimeTaken": 1.93739914894104,
+        "User_input": "HumanMessage: {'input': 'play this song'}",
+        "Output": "SystemMessage: agent_msg='The intent is not realted to QA' intent=False"
+    },
+    {
+        "Agent Name": "Intent Classifier Agent",
+        "Number of tries": 1,
+        "TimeTaken": 1.2464182376861572,
+        "User_input": "HumanMessage: {'input': 'please test this button'}",
+        "Output": "SystemMessage: agent_msg='The intent is realted to QA' intent=True"
+    }
+]
\ No newline at end of file
diff --git a/src/outputdata/output_data.py b/src/outputdata/output_data.py
new file mode 100644
index 00000000..6a1786df
--- /dev/null
+++ b/src/outputdata/output_data.py
@@ -0,0 +1,48 @@
+import json
+import os
+import logging
+logger = logging.getLogger(__name__)
+
+def write_data_to_file(
+    agents_name: str,
+    number_of_tries: str,
+    time_taken: int,
+    user_input: float,
+    output: str
+    ) -> None:
+
+    result_data = {
+        "Agent Name": agents_name,
+        "Number of tries": number_of_tries,
+        "TimeTaken": time_taken,
+        "User_input": f"HumanMessage: {user_input}",
+        "Output": f"SystemMessage: {output}",
+    }
+
+    base_dir = os.path.dirname(os.path.abspath(__file__))
+    file_path = os.path.join(base_dir, "agent_execution.json")
+
+    #reading existing data if file exists, else start a new list
+    if os.path.exists(file_path):
+        try:
+            with open(file_path, "r", encoding="utf-8") as f:
+                try:
+                    all_data = json.load(f)
+                    if not isinstance(all_data, list):
+                        all_data = []
+                except json.JSONDecodeError:
+                    all_data = []
+        except Exception as e:
+            logger.error(f"Error reading file {file_path}: {e}")
+            all_data = []
+    else:
+        all_data = []
+
+    all_data.append(result_data)
+
+    try:
+        with open(file_path, "w", encoding="utf-8") as f:
+            json.dump(all_data, f, indent=4)
+        logger.info(f"Data written to file....")
+    except Exception as e:
+        logger.error(f"Error writing to file {file_path}: {e}")
\ No newline at end of file
diff --git a/src/webpage/webpage_checker.py b/src/webpage/webpage_checker.py
new file mode 100644
index 00000000..4b70c2dc
--- /dev/null
+++ b/src/webpage/webpage_checker.py
@@ -0,0 +1,25 @@
+import requests
+import logging
+logger = logging.getLogger(__name__)
+from ..outputdata.output_data import write_data_to_file
+
+class WebpageChecker:
+    def __init__(self, url) -> None:
+        logger.info("Initializing WebpageChecker...")
+        self.url = url
+
+    def exists(self):
+        try:
+            logger.info(f"Checking if the webpage {self.url} exists...")
+            response = requests.head(self.url, allow_redirects=True, timeout=5)
+            write_data_to_file(
+                agents_name="Webpage Checker",
+                number_of_tries=1,
+                time_taken=1,
+                user_input=self.url,
+                output=f"{response.status_code} - {response.reason}"
+            )
+            return True if response.status_code == 200 else False
+        except requests.RequestException as e:
+            logger.error("Error checking URL: %s", e)
+            return False
\ No newline at end of file
diff --git a/src/webpage/webpage_code.html b/src/webpage/webpage_code.html
new file mode 100644
index 00000000..065b8140
--- /dev/null
+++ b/src/webpage/webpage_code.html
@@ -0,0 +1,2702 @@
+<!DOCTYPE html><html class="t4sp-theme t4s-wrapper__custom rtl_false swatch_color_style_2 pr_border_style_1 pr_img_effect_2 enable_eff_img1_true badge_shape_1 css_for_wis_app_false shadow_round_img_false t4s-header__inline is-remove-unavai-2 t4_compare_false t4s-cart-count-0 t4s-pr-ellipsis-false js t4sp-sticky t4sp-hover t4s-browser-Chrome t4s-platform-Mac OS X hdt-reveal-in-view t4s-pr-item-sw-limit" lang="en" style="--scroll-w: 0px; --topbar-height: 0px; --header-height: 70px;"><head><style type="text/css" class="drift-base-styles">.drift-bounding-box,.drift-zoom-pane{position:absolute;pointer-events:none}@keyframes noop{0%{zoom:1 }}@-webkit-keyframes noop{0%{zoom:1 }}.drift-zoom-pane.drift-open{display:block}.drift-zoom-pane.drift-closing,.drift-zoom-pane.drift-opening{animation:noop 1ms;-webkit-animation:noop 1ms}.drift-zoom-pane{overflow:hidden;width:100%;height:100%;top:0;left:0}.drift-zoom-pane-loader{display:none}.drift-zoom-pane img{position:absolute;display:block;max-width:none;max-height:none}</style>
+ <!-- Added by TAPITA SEO SCHEMA-->
+
+<!-- /Added by TAPITA SEO SCHEMA --> 
+
+	<!-- Added by AVADA SEO Suite -->
+	
+
+
+
+
+
+
+
+
+	<!-- /Added by AVADA SEO Suite -->
+    <meta charset="utf-8">
+    <meta http-equiv="X-UA-Compatible" content="IE=edge">
+    <meta name="viewport" content="width=device-width, initial-scale=1, height=device-height, minimum-scale=1.0, maximum-scale=1.0">
+    <meta name="theme-color" content="#fff">
+    <link rel="canonical" href="https://shooz.pk/">
+    <link rel="preconnect" href="https://cdn.shopify.com" crossorigin=""><title>Shooz.pk</title>
+    <meta name="description" content="Shooz.pk"><meta name="keywords" content="Kalles shopify, Fastest, Ajax Shop, Minimal, Lazyload"><meta name="author" content="The4">
+
+<meta property="og:site_name" content="Shooz.pk">
+<meta property="og:url" content="https://shooz.pk/">
+<meta property="og:title" content="Shooz.pk">
+<meta property="og:type" content="website">
+<meta property="og:description" content="Shooz.pk"><meta property="og:image" content="http://shooz.pk/cdn/shop/files/WhatsApp_Image_2023-06-06_at_6.12.02_PM_3ac2e1ae-d48d-4253-bfe4-a64e472b3b5a.jpg?v=1699694004">
+  <meta property="og:image:secure_url" content="https://shooz.pk/cdn/shop/files/WhatsApp_Image_2023-06-06_at_6.12.02_PM_3ac2e1ae-d48d-4253-bfe4-a64e472b3b5a.jpg?v=1699694004">
+  <meta property="og:image:width" content="1024">
+  <meta property="og:image:height" content="433"><meta name="twitter:card" content="summary_large_image">
+<meta name="twitter:title" content="Shooz.pk">
+<meta name="twitter:description" content="Shooz.pk"><script type="text/javascript" async="" src="https://cdn.hextom.com/js/ultimatesalesboost.js?shop=gravitykicks-pk.myshopify.com"></script><script type="text/javascript" async="" src="https://intg.snapchat.com/shopify/shopify-scevent-init.js?id=347f95bd-a723-4195-ba76-93cb27f4800c&amp;shop=gravitykicks-pk.myshopify.com"></script><script type="text/javascript" async="" src="https://gat.gropulse.com/get_script?shop=gravitykicks-pk.myshopify.com"></script><script type="text/javascript" async="" src="https://app.kiwisizing.com/web/js/dist/kiwiSizing/plugin/SizingPlugin.prod.js?v=318&amp;shop=gravitykicks-pk.myshopify.com"></script><script src="https://connect.facebook.net/signals/config/807899020692724?v=2.9.205&amp;r=stable&amp;domain=shooz.pk&amp;hme=91e1bfdb39aff53ea3a4a1f39ed64da8fd6f63253e5c24269dbb2994c8fed743&amp;ex_m=74%2C128%2C113%2C117%2C65%2C6%2C106%2C73%2C19%2C101%2C93%2C55%2C58%2C11%2C184%2C205%2C212%2C208%2C209%2C211%2C32%2C107%2C57%2C81%2C210%2C179%2C182%2C51%2C50%2C206%2C207%2C192%2C140%2C45%2C197%2C194%2C195%2C37%2C152%2C18%2C54%2C201%2C200%2C142%2C21%2C44%2C2%2C47%2C69%2C70%2C71%2C75%2C97%2C20%2C17%2C100%2C96%2C95%2C114%2C56%2C116%2C42%2C115%2C33%2C98%2C43%2C90%2C29%2C180%2C183%2C149%2C14%2C15%2C16%2C8%2C9%2C28%2C25%2C26%2C61%2C66%2C68%2C79%2C105%2C108%2C30%2C80%2C12%2C10%2C84%2C52%2C24%2C110%2C109%2C111%2C102%2C13%2C23%2C4%2C41%2C78%2C22%2C162%2C136%2C77%2C1%2C99%2C60%2C88%2C36%2C31%2C86%2C87%2C92%2C40%2C7%2C94%2C85%2C48%2C35%2C38%2C0%2C72%2C118%2C91%2C5%2C89%2C249%2C177%2C126%2C165%2C158%2C3%2C39%2C67%2C46%2C112%2C49%2C83%2C64%2C63%2C34%2C103%2C62%2C59%2C53%2C82%2C76%2C27%2C104%2C119" async=""></script><script async="true" src="https://connect.facebook.net/en_US/fbevents.js"></script><script type="text/javascript" async="" src="//shooz.pk/cdn/s/trekkie.storefront.f0d5693ccbd1fc3a366a05ea27b0943896b4a200.min.js"></script><script src="//shooz.pk/cdn/shop/t/7/assets/lazysizes.min.js?v=19113999703148210021716281116" async="async"></script>
+    <script src="//shooz.pk/cdn/shop/t/7/assets/global.min.js?v=164417445976002054911716281115" defer="defer"></script>
+    <script>window.performance && window.performance.mark && window.performance.mark('shopify.content_for_header.start');</script><meta id="shopify-digital-wallet" name="shopify-digital-wallet" content="/55799218311/digital_wallets/dialog">
+<script async="async" src="/checkouts/internal/preloads.js?locale=en-PK"></script>
+<script id="shopify-features" type="application/json">{"accessToken":"2864f290f16e6f0c3b9f1a5657503e86","betas":["rich-media-storefront-analytics"],"domain":"shooz.pk","predictiveSearch":true,"shopId":55799218311,"locale":"en"}</script>
+<script>var Shopify = Shopify || {};
+Shopify.shop = "gravitykicks-pk.myshopify.com";
+Shopify.locale = "en";
+Shopify.currency = {"active":"PKR","rate":"1.0"};
+Shopify.country = "PK";
+Shopify.theme = {"name":"kalles","id":129238073479,"schema_name":"Kalles","schema_version":"4.2.2","theme_store_id":null,"role":"main"};
+Shopify.theme.handle = "null";
+Shopify.theme.style = {"id":null,"handle":null};
+Shopify.cdnHost = "shooz.pk/cdn";
+Shopify.routes = Shopify.routes || {};
+Shopify.routes.root = "/";</script>
+<script type="module">!function(o){(o.Shopify=o.Shopify||{}).modules=!0}(window);</script>
+<script>!function(o){function n(){var o=[];function n(){o.push(Array.prototype.slice.apply(arguments))}return n.q=o,n}var t=o.Shopify=o.Shopify||{};t.loadFeatures=n(),t.autoloadFeatures=n()}(window);</script>
+<script id="shop-js-analytics" type="application/json">{"pageType":"index"}</script>
+<script>(function() {
+  function asyncLoad() {
+    var urls = ["https:\/\/app.kiwisizing.com\/web\/js\/dist\/kiwiSizing\/plugin\/SizingPlugin.prod.js?v=318\u0026shop=gravitykicks-pk.myshopify.com","https:\/\/gat.gropulse.com\/get_script?shop=gravitykicks-pk.myshopify.com","https:\/\/intg.snapchat.com\/shopify\/shopify-scevent-init.js?id=347f95bd-a723-4195-ba76-93cb27f4800c\u0026shop=gravitykicks-pk.myshopify.com","https:\/\/cdn.hextom.com\/js\/ultimatesalesboost.js?shop=gravitykicks-pk.myshopify.com"];
+    for (var i = 0; i < urls.length; i++) {
+      var s = document.createElement('script');
+      s.type = 'text/javascript';
+      s.async = true;
+      s.src = urls[i];
+      var x = document.getElementsByTagName('script')[0];
+      x.parentNode.insertBefore(s, x);
+    }
+  };
+  if(window.attachEvent) {
+    window.attachEvent('onload', asyncLoad);
+  } else {
+    window.addEventListener('load', asyncLoad, false);
+  }
+})();</script>
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+    <link rel="preconnect" href="https://fonts.gstatic.com" crossorigin=""><link rel="stylesheet" href="https://fonts.googleapis.com/css?family=Poppins:300,300i,400,400i,500,500i,600,600i,700,700i,800,800i|Libre+Baskerville:300,300i,400,400i,500,500i,600,600i,700,700i,800,800i&amp;display=swap" media="all" onload="this.media='all'"><link href="//shooz.pk/cdn/shop/t/7/assets/base.css?v=76992554195321706611716281114" rel="stylesheet" type="text/css" media="all"><style data-shopify="">:root {
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+         /* CSS Variables */
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+        --font-family-1   : Poppins;
+        --font-family-2   : Poppins;
+        --font-family-3   : Libre Baskerville;
+        --font-body-family   : Poppins;
+        --font-heading-family: Poppins;
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+        --t4s-success-color       : #428445;
+        --t4s-success-color-rgb   : 66, 132, 69;
+        --t4s-warning-color       : #e0b252;
+        --t4s-warning-color-rgb   : 224, 178, 82;
+        --t4s-error-color         : #EB001B;
+        --t4s-error-color-rgb     : 235, 0, 27;
+        --t4s-light-color         : #ffffff;
+        --t4s-dark-color          : #222222;
+        --t4s-highlight-color     : #ec0101;
+        --t4s-tooltip-background  : #383838;
+        --t4s-tooltip-color       : #fff;
+        --primary-sw-color        : #333;
+        --primary-sw-color-rgb    : 51, 51, 51;
+        --border-sw-color         : #ddd;
+        --secondary-sw-color      : #878787;
+        --primary-price-color     : #a90000;
+        --secondary-price-color   : #878787;
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+        --t4s-body-background     : #fff;
+        --text-color              : #878787;
+        --text-color-rgb          : 135, 135, 135;
+        --heading-color           : #a90000;
+        --accent-color            : #a90000;
+        --accent-color-rgb        : 169, 0, 0;
+        --accent-color-darken     : #5c0000;
+        --accent-color-hover      : var(--accent-color-darken);
+        --secondary-color         : #222;
+        --secondary-color-rgb     : 34, 34, 34;
+        --link-color              : #878787;
+        --link-color-hover        : #a90000;
+        --border-color            : #ddd;
+        --border-color-rgb        : 221, 221, 221;
+        --border-primary-color    : #333;
+        --button-background       : #222;
+        --button-color            : #fff;
+        --button-background-hover : #a90000;
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+        --sale-badge-color         : #fff;
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+        --new-badge-color          : #fff;
+        --preorder-badge-background: #ba6a34;
+        --preorder-badge-color     : #fff;
+        --soldout-badge-background : #999999;
+        --soldout-badge-color      : #fff;
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+    body {
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+      overflow-x: hidden;
+      font-size:14px;
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+      font-family: var(--font-heading-family);
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+      font-weight: 600;
+      letter-spacing: 0px;
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+    h1 { font-size: 37px }
+    h2 { font-size: 29px }
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+    input[type="submit"]:not(.t4s-btn):hover  {
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+      background-color: var(--button-background-hover);
+      border-color: var(--button-background-hover);
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e&&d.test(e)}(f)?f:"",scriptDataAttributes:i}),p.emit({status:"loading"})}catch(e){p.emit({status:"failed",errorMsg:(null==e?void 0:e.message)||"Unknown error"})}}})({shopId: 55799218311,storefrontBaseUrl: "https://shooz.pk",extensionsBaseUrl: "https://extensions.shopifycdn.com/cdn/shopifycloud/web-pixels-manager",monorailEndpoint: "https://monorail-edge.shopifysvc.com/unstable/produce_batch",surface: "storefront-renderer",enabledBetaFlags: ["ac843a20"],webPixelsConfigList: [{"id":"202375303","configuration":"{\"pixelId\":\"347f95bd-a723-4195-ba76-93cb27f4800c\"}","eventPayloadVersion":"v1","runtimeContext":"STRICT","scriptVersion":"22f8c536e7873873f3de636ed467f321","type":"APP","apiClientId":2556259,"privacyPurposes":["ANALYTICS","MARKETING","SALE_OF_DATA"]},{"id":"132382855","configuration":"{\"pixel_id\":\"807899020692724\",\"pixel_type\":\"facebook_pixel\",\"metaapp_system_user_token\":\"-\"}","eventPayloadVersion":"v1","runtimeContext":"OPEN","scriptVersion":"8d894c63179843e74a9691414b5ad83d","type":"APP","apiClientId":2329312,"privacyPurposes":["ANALYTICS","MARKETING","SALE_OF_DATA"]},{"id":"shopify-app-pixel","configuration":"{}","eventPayloadVersion":"v1","runtimeContext":"STRICT","scriptVersion":"0420","apiClientId":"shopify-pixel","type":"APP","privacyPurposes":["ANALYTICS","MARKETING"]},{"id":"shopify-custom-pixel","eventPayloadVersion":"v1","runtimeContext":"LAX","scriptVersion":"0420","apiClientId":"shopify-pixel","type":"CUSTOM","privacyPurposes":["ANALYTICS","MARKETING"]}],isMerchantRequest: false,effectiveTopLevelDomain: "pk",initData: {"shop":{"name":"Shooz.pk","paymentSettings":{"currencyCode":"PKR"},"myshopifyDomain":"gravitykicks-pk.myshopify.com","countryCode":"PK","storefrontUrl":"https://shooz.pk"},"customer":null,"cart":null,"checkout":null,"productVariants":[],"purchasingCompany":null},},function pageEvents(webPixelsManagerAPI) {webPixelsManagerAPI.publish("page_viewed", {});},"https://shooz.pk/cdn","c1af55d5w80908667pd8ba33fbm6f3737ec",{"modern":"","legacy":""},{"shopId":"55799218311","storefrontBaseUrl":"https://shooz.pk","extensionBaseUrl":"https://extensions.shopifycdn.com/cdn/shopifycloud/web-pixels-manager","surface":"storefront-renderer","enabledBetaFlags":"[\"ac843a20\"]","isMerchantRequest":"false","hashVersion":"c1af55d5w80908667pd8ba33fbm6f3737ec"});</script><script async="" src="https://shooz.pk/cdn/wpm/bc1af55d5w80908667pd8ba33fbm6f3737ecm.js" data-shop-id="55799218311" data-storefront-base-url="https://shooz.pk" data-extension-base-url="https://extensions.shopifycdn.com/cdn/shopifycloud/web-pixels-manager" data-surface="storefront-renderer" data-enabled-beta-flags="[&quot;ac843a20&quot;]" data-is-merchant-request="false" data-hash-version="c1af55d5w80908667pd8ba33fbm6f3737ec" data-browser-target="modern"></script><script>
+  window.ShopifyAnalytics = window.ShopifyAnalytics || {};
+  window.ShopifyAnalytics.meta = window.ShopifyAnalytics.meta || {};
+  window.ShopifyAnalytics.meta.currency = 'PKR';
+  var meta = {"page":{"pageType":"home"}};
+  for (var attr in meta) {
+    window.ShopifyAnalytics.meta[attr] = meta[attr];
+  }
+</script>
+<script class="analytics">
+  (function () {
+    var customDocumentWrite = function(content) {
+      var jquery = null;
+
+      if (window.jQuery) {
+        jquery = window.jQuery;
+      } else if (window.Checkout && window.Checkout.$) {
+        jquery = window.Checkout.$;
+      }
+
+      if (jquery) {
+        jquery('body').append(content);
+      }
+    };
+
+    var hasLoggedConversion = function(token) {
+      if (token) {
+        return document.cookie.indexOf('loggedConversion=' + token) !== -1;
+      }
+      return false;
+    }
+
+    var setCookieIfConversion = function(token) {
+      if (token) {
+        var twoMonthsFromNow = new Date(Date.now());
+        twoMonthsFromNow.setMonth(twoMonthsFromNow.getMonth() + 2);
+
+        document.cookie = 'loggedConversion=' + token + '; expires=' + twoMonthsFromNow;
+      }
+    }
+
+    var trekkie = window.ShopifyAnalytics.lib = window.trekkie = window.trekkie || [];
+    if (trekkie.integrations) {
+      return;
+    }
+    trekkie.methods = [
+      'identify',
+      'page',
+      'ready',
+      'track',
+      'trackForm',
+      'trackLink'
+    ];
+    trekkie.factory = function(method) {
+      return function() {
+        var args = Array.prototype.slice.call(arguments);
+        args.unshift(method);
+        trekkie.push(args);
+        return trekkie;
+      };
+    };
+    for (var i = 0; i < trekkie.methods.length; i++) {
+      var key = trekkie.methods[i];
+      trekkie[key] = trekkie.factory(key);
+    }
+    trekkie.load = function(config) {
+      trekkie.config = config || {};
+      trekkie.config.initialDocumentCookie = document.cookie;
+      var first = document.getElementsByTagName('script')[0];
+      var script = document.createElement('script');
+      script.type = 'text/javascript';
+      script.onerror = function(e) {
+        var scriptFallback = document.createElement('script');
+        scriptFallback.type = 'text/javascript';
+        scriptFallback.onerror = function(error) {
+                var Monorail = {
+      produce: function produce(monorailDomain, schemaId, payload) {
+        var currentMs = new Date().getTime();
+        var event = {
+          schema_id: schemaId,
+          payload: payload,
+          metadata: {
+            event_created_at_ms: currentMs,
+            event_sent_at_ms: currentMs
+          }
+        };
+        return Monorail.sendRequest("https://" + monorailDomain + "/v1/produce", JSON.stringify(event));
+      },
+      sendRequest: function sendRequest(endpointUrl, payload) {
+        // Try the sendBeacon API
+        if (window && window.navigator && typeof window.navigator.sendBeacon === 'function' && typeof window.Blob === 'function' && !Monorail.isIos12()) {
+          var blobData = new window.Blob([payload], {
+            type: 'text/plain'
+          });
+
+          if (window.navigator.sendBeacon(endpointUrl, blobData)) {
+            return true;
+          } // sendBeacon was not successful
+
+        } // XHR beacon
+
+        var xhr = new XMLHttpRequest();
+
+        try {
+          xhr.open('POST', endpointUrl);
+          xhr.setRequestHeader('Content-Type', 'text/plain');
+          xhr.send(payload);
+        } catch (e) {
+          console.log(e);
+        }
+
+        return false;
+      },
+      isIos12: function isIos12() {
+        return window.navigator.userAgent.lastIndexOf('iPhone; CPU iPhone OS 12_') !== -1 || window.navigator.userAgent.lastIndexOf('iPad; CPU OS 12_') !== -1;
+      }
+    };
+    Monorail.produce('monorail-edge.shopifysvc.com',
+      'trekkie_storefront_load_errors/1.1',
+      {shop_id: 55799218311,
+      theme_id: 129238073479,
+      app_name: "storefront",
+      context_url: window.location.href,
+      source_url: "//shooz.pk/cdn/s/trekkie.storefront.f0d5693ccbd1fc3a366a05ea27b0943896b4a200.min.js"});
+
+        };
+        scriptFallback.async = true;
+        scriptFallback.src = '//shooz.pk/cdn/s/trekkie.storefront.f0d5693ccbd1fc3a366a05ea27b0943896b4a200.min.js';
+        first.parentNode.insertBefore(scriptFallback, first);
+      };
+      script.async = true;
+      script.src = '//shooz.pk/cdn/s/trekkie.storefront.f0d5693ccbd1fc3a366a05ea27b0943896b4a200.min.js';
+      first.parentNode.insertBefore(script, first);
+    };
+    trekkie.load(
+      {"Trekkie":{"appName":"storefront","development":false,"defaultAttributes":{"shopId":55799218311,"isMerchantRequest":null,"themeId":129238073479,"themeCityHash":"2158989363201257420","contentLanguage":"en","currency":"PKR"},"isServerSideCookieWritingEnabled":true,"monorailRegion":"shop_domain"},"Session Attribution":{},"S2S":{"facebookCapiEnabled":true,"source":"trekkie-storefront-renderer","apiClientId":580111}}
+    );
+
+    var loaded = false;
+    trekkie.ready(function() {
+      if (loaded) return;
+      loaded = true;
+
+      window.ShopifyAnalytics.lib = window.trekkie;
+
+      var originalDocumentWrite = document.write;
+      document.write = customDocumentWrite;
+      try { window.ShopifyAnalytics.merchantGoogleAnalytics.call(this); } catch(error) {};
+      document.write = originalDocumentWrite;
+
+      window.ShopifyAnalytics.lib.page(null,{"pageType":"home","shopifyEmitted":true});
+
+      var match = window.location.pathname.match(/checkouts\/(.+)\/(thank_you|post_purchase)/)
+      var token = match? match[1]: undefined;
+      if (!hasLoggedConversion(token)) {
+        setCookieIfConversion(token);
+        
+      }
+    });
+
+
+        var eventsListenerScript = document.createElement('script');
+        eventsListenerScript.async = true;
+        eventsListenerScript.src = "//shooz.pk/cdn/shopifycloud/shopify/assets/shop_events_listener-f55dd2979ec32029c7d9e0b454ab8b33f79c01ca039d17a6f5c9b95647564b19.js";
+        document.getElementsByTagName('head')[0].appendChild(eventsListenerScript);
+
+})();</script><script async="" src="//shooz.pk/cdn/shopifycloud/shopify/assets/shop_events_listener-f55dd2979ec32029c7d9e0b454ab8b33f79c01ca039d17a6f5c9b95647564b19.js"></script>
+<script defer="" src="https://shooz.pk/cdn/shopifycloud/perf-kit/shopify-perf-kit-1.6.5.min.js" data-application="storefront-renderer" data-shop-id="55799218311" data-render-region="gcp-asia-southeast1" data-page-type="index" data-theme-instance-id="129238073479" data-theme-name="Kalles" data-theme-version="4.2.2" data-monorail-region="shop_domain" data-resource-timing-sampling-rate="10" data-shs="true"></script><script async="" src="//shooz.pk/cdn/shop/t/7/assets/theme.min.js?v=16916950790727198441716281117"></script>
+<script src="https://shooz.pk/wpm@c1af55d5w80908667pd8ba33fbm6f3737ec/app/web-pixel-132382855@8d894c63179843e74a9691414b5ad83d/pixel.modern.js" async="" data-pixel-id="132382855" data-pixel-type="APP"></script><script async="" src="//shooz.pk/cdn/shop/t/7/assets/t4s-instant-page.min.js?v=66639300826534233221716281117"></script><script type="text/javascript" async="" src="https://googleads.g.doubleclick.net/pagead/viewthroughconversion/16489076549/?random=1749106905809&amp;cv=11&amp;fst=1749106905809&amp;bg=ffffff&amp;guid=ON&amp;async=1&amp;gtm=45be5631v9216105599za200&amp;gcd=13l3l3l3l1l1&amp;dma=0&amp;tag_exp=101509157~102015666~103116026~103200004~103233427~103351869~103351871~104611962~104611964~104661466~104661468&amp;u_w=1280&amp;u_h=720&amp;url=https%3A%2F%2Fshooz.pk%2F&amp;hn=www.googleadservices.com&amp;frm=0&amp;tiba=Shooz.pk&amp;did=dN2ZkMj%2CdNTU0Yz&amp;gdid=dN2ZkMj.dNTU0Yz&amp;npa=0&amp;pscdl=noapi&amp;auid=1554430081.1749106906&amp;uaa=arm&amp;uab=64&amp;uafvl=Chromium%3B136.0.7103.25%7CHeadlessChrome%3B136.0.7103.25%7CNot.A%252FBrand%3B99.0.0.0&amp;uamb=0&amp;uam=&amp;uap=macOS&amp;uapv=14.4.0&amp;uaw=0&amp;fledge=1&amp;data=event%3Dgtag.config&amp;rfmt=3&amp;fmt=4"></script><script async="" src="//shooz.pk/cdn/shop/t/7/assets/interactable.min.js?v=53185779685690334681716281115"></script><script async="" src="//shooz.pk/cdn/shop/t/7/assets/predictive-search.min.js?v=22541686231049480561716281116"></script><script async="" src="//shooz.pk/cdn/shop/t/7/assets/t4s_zoom.min.js?v=118749277644528088231716281117"></script><script type="text/javascript" async="" src="https://googleads.g.doubleclick.net/pagead/viewthroughconversion/16489076549/?random=1749106905928&amp;cv=11&amp;fst=1749106905928&amp;bg=ffffff&amp;guid=ON&amp;async=1&amp;gtm=45be5631v9216105599za200&amp;gcd=13l3l3l3l1l1&amp;dma=0&amp;tag_exp=101509157~102015666~103116026~103200004~103233427~103351869~103351871~104611962~104611964~104661466~104661468&amp;u_w=1280&amp;u_h=720&amp;url=https%3A%2F%2Fshooz.pk%2F&amp;hn=www.googleadservices.com&amp;frm=0&amp;tiba=Shooz.pk&amp;did=dN2ZkMj%2CdNTU0Yz&amp;gdid=dN2ZkMj.dNTU0Yz&amp;npa=0&amp;pscdl=noapi&amp;auid=1554430081.1749106906&amp;uaa=arm&amp;uab=64&amp;uafvl=Chromium%3B136.0.7103.25%7CHeadlessChrome%3B136.0.7103.25%7CNot.A%252FBrand%3B99.0.0.0&amp;uamb=0&amp;uam=&amp;uap=macOS&amp;uapv=14.4.0&amp;uaw=0&amp;fledge=1&amp;data=event%3Dform_start&amp;rfmt=3&amp;fmt=4"></script><link rel="stylesheet" type="text/css" href="//shooz.pk/cdn/shop/t/7/assets/login-sidebar.css?v=162280350561165346861716281116" media="all"><link rel="stylesheet" type="text/css" href="//shooz.pk/cdn/shop/t/7/assets/mini-cart.css?v=118877294164861201271716281116" media="all"><link rel="stylesheet" type="text/css" href="//shooz.pk/cdn/shop/t/7/assets/search-hidden.css?v=139922884370207432601716281116" media="all"><link rel="dns-prefetch preconnect" href="https://cdn.shopify.com/shopifycloud/checkout-web/assets/" crossorigin=""><link rel="prefetch" fetchpriority="low" as="script" href="https://cdn.shopify.com/shopifycloud/checkout-web/assets/c1.en/polyfills.DeWuInPR.js" crossorigin=""></head>
+
+  <body class="template-index "><a class="skip-to-content-link visually-hidden" href="#MainContent">Skip to content</a>
+    <div class="t4s-close-overlay t4s-op-0"></div>
+
+    <div class="t4s-website-wrapper"><div id="shopify-section-title_config" class="shopify-section t4s-section t4s-section-config t4s-section-admn-fixed"><style data-shopify="">.t4s-title {--color: #222222;
+			font-family: var(--font-family-2);
+			font-size: 18px;
+			font-weight: 600;line-height: 30px;}
+		
+			.t4s-top-heading .t4s-cbl {
+				--color: #222222;
+			}
+		
+		@media (min-width: 768px) {
+			.t4s-title {
+			   font-size: 24px;
+				font-weight: 600;line-height: 34px;}
+		}.t4s-subtitle {font-style: italic;--color: #878787;
+			font-family: var(--font-family-3);
+			font-size: 14px;
+			font-weight: 400;}
+		
+		@media (min-width: 768px) {
+			.t4s-subtitle {
+			   font-size: 14px;
+				font-weight: 400;}
+		}</style></div><div id="shopify-section-pr_item_config" class="shopify-section t4s-section t4s-section-config t4s-section-config-product t4s-section-admn-fixed"><style data-shopify="">
+	.t4s-section-config-product .t4s_box_pr_grid {
+		margin-bottom: 100px;
+	}
+	.t4s-section-config-product .t4s-top-heading {
+		margin-bottom: 30px;
+	}
+	.t4s-product:not(.t4s-pr-style4) {
+		--pr-btn-radius-size       : 40px;
+	}.t4s-product {
+		--swatch-color-size 	   : 16px;
+		--swatch-color-size-mb 	   : 20px;
+		--pr-background-overlay    : rgba(0, 0, 0, 0.1);
+		--product-title-family     : var(--font-family-1);
+		--product-title-style      : none;
+		--product-title-size       : 14px;
+		--product-title-weight     : 500;
+		--product-title-line-height: 20px;
+		--product-title-spacing    : 0px;
+		--product-price-size       : 14px;
+		--product-price-weight     : 400;
+		--product-space-img-txt    : 15px;
+		--product-space-elements   : 0px;
+
+		--pr-countdown-color       : #fff;
+		--pr-countdown-bg-color    : #56cfe1;
+	}
+	.t4s-product:not(.t4s-pr-packery) {
+		--product-title-color         : #222222;
+		--product-title-color-hover   : #56cfe1;
+		--product-price-color      	  : #696969;
+		--product-price-color-second  : #696969;
+		--product-price-sale-color    : #ec0101;
+		--product-vendors-color       : #878787;
+		--product-vendors-color-hover : #56cfe1;
+	}</style><style data-shopify="">.t4s-pr-style1 {
+
+			      
+			        --pr-addtocart-color             : #ffffff;
+			        --pr-addtocart-color2            : #222;
+			        --pr-addtocart-color-hover       : #222222;
+			        --pr-addtocart-color2-hover      : #fff;
+
+			        --pr-quickview-color             : #ffffff;
+			        --pr-quickview-color2            : #222;
+			        --pr-quickview-color-hover       : #222222;
+			        --pr-quickview-color2-hover      : #fff;
+
+			        --pr-wishlist-color              : #ffffff;
+			        --pr-wishlist-color2             : #222;
+			        --pr-wishlist-color-hover        : #222222;
+			        --pr-wishlist-color2-hover       : #fff;
+			        --pr-wishlist-color-active        : #e81e63;
+			        --pr-wishlist-color2-active       : #fff;
+
+			        --pr-compare-color               : #ffffff;
+			        --pr-compare-color2              : #222;
+			        --pr-compare-color-hover         : #222222;
+			        --pr-compare-color2-hover        : #fff;
+
+			        --size-list-color                : #ffffff;
+            }</style><style data-shopify="">.t4s-pr-style2 {
+
+			        
+			        --pr-addtocart-color             : #ffffff;
+			        --pr-addtocart-color2            : #222;
+			        --pr-addtocart-color-hover       : #222222;
+			        --pr-addtocart-color2-hover      : #fff;
+
+			        --pr-quickview-color             : #ffffff;
+			        --pr-quickview-color2            : #222;
+			        --pr-quickview-color-hover       : #222222;
+			        --pr-quickview-color2-hover      : #fff;
+
+			        --pr-wishlist-color              : #ffffff;
+			        --pr-wishlist-color2             : #222;
+			        --pr-wishlist-color-hover        : #222222;
+			        --pr-wishlist-color2-hover       : #fff;
+			        --pr-wishlist-color-active        : #e81e63;
+			        --pr-wishlist-color2-active       : #fff;
+
+			        --pr-compare-color               : #ffffff;
+			        --pr-compare-color2              : #222;
+			        --pr-compare-color-hover         : #222222;
+			        --pr-compare-color2-hover        : #fff;
+			        
+			        --size-list-color                : #ffffff;
+            }</style><style data-shopify="">.t4s-pr-style3 {
+
+			       
+			        --pr-addtocart-color             : #ffffff;
+			        --pr-addtocart-color2            : #222;
+			        --pr-addtocart-color-hover       : #222222;
+			        --pr-addtocart-color2-hover      : #fff;
+
+			        --pr-quickview-color             : #ffffff;
+			        --pr-quickview-color2            : #222;
+			        --pr-quickview-color-hover       : #222222;
+			        --pr-quickview-color2-hover      : #fff;
+
+			        --pr-wishlist-color              : #ffffff;
+			        --pr-wishlist-color2             : #222;
+			        --pr-wishlist-color-hover        : #222222;
+			        --pr-wishlist-color2-hover       : #fff;
+			        --pr-wishlist-color-active        : #e81e63;
+			        --pr-wishlist-color2-active       : #fff;
+
+			        --pr-compare-color               : #ffffff;
+			        --pr-compare-color2              : #222;
+			        --pr-compare-color-hover         : #222222;
+			        --pr-compare-color2-hover        : #fff;
+			        
+			        --size-list-color                : #ffffff;
+            }</style><style data-shopify="">.t4s-pr-style4 {
+
+
+			        --pr-btn-radius-size       		 : 0px;
+			        
+			        --pr-addtocart-color             : #ffffff;
+			        --pr-addtocart-color2            : #222;
+			        --pr-addtocart-color-hover       : #222222;
+			        --pr-addtocart-color2-hover      : #fff;
+
+			        --pr-quickview-color             : #ffffff;
+			        --pr-quickview-color2            : #222;
+			        --pr-quickview-color-hover       : #222222;
+			        --pr-quickview-color2-hover      : #fff;
+
+			        --pr-wishlist-color              : #ffffff;
+			        --pr-wishlist-color2             : #222;
+			        --pr-wishlist-color-hover        : #222222;
+			        --pr-wishlist-color2-hover       : #fff;
+			        --pr-wishlist-color-active        : #e81e63;
+			        --pr-wishlist-color2-active       : #fff;
+
+			        --pr-compare-color               : #ffffff;
+			        --pr-compare-color2              : #222;
+			        --pr-compare-color-hover         : #222222;
+			        --pr-compare-color2-hover        : #fff;
+			        
+			        --size-list-color                : #ffffff;
+            }</style><style data-shopify="">.t4s-pr-style5 {
+
+			        
+			        --pr-addtocart-color             : #ffffff;
+			        --pr-addtocart-color2            : #222;
+			        --pr-addtocart-color-hover       : #222222;
+			        --pr-addtocart-color2-hover      : #fff;
+
+			        --pr-quickview-color             : #ffffff;
+			        --pr-quickview-color2            : #222;
+			        --pr-quickview-color-hover       : #222222;
+			        --pr-quickview-color2-hover      : #fff;
+
+			        --pr-wishlist-color              : #ffffff;
+			        --pr-wishlist-color2             : #222;
+			        --pr-wishlist-color-hover        : #222222;
+			        --pr-wishlist-color2-hover       : #fff;
+			        --pr-wishlist-color-active        : #e81e63;
+			        --pr-wishlist-color2-active       : #fff;
+
+			        --pr-compare-color               : #ffffff;
+			        --pr-compare-color2              : #222;
+			        --pr-compare-color-hover         : #222222;
+			        --pr-compare-color2-hover        : #fff;
+			        
+			        --size-list-color                : #ffffff;
+            }</style><style data-shopify="">
+	        
+            .t4s-pr-style6 {
+
+			        
+			        --pr-addtocart-color             : #56cfe1;
+			        --pr-addtocart-color2            : #fff;
+			        --pr-addtocart-color-hover       : #00badb;
+			        --pr-addtocart-color2-hover      : #fff;
+
+			        --pr-quickview-color             : #ffffff;
+			        --pr-quickview-color2            : #222;
+			        --pr-quickview-color-hover       : #222222;
+			        --pr-quickview-color2-hover      : #fff;
+
+			        --pr-wishlist-color              : #ffffff;
+			        --pr-wishlist-color2             : #222;
+			        --pr-wishlist-color-hover        : #222222;
+			        --pr-wishlist-color2-hover       : #fff;
+			        --pr-wishlist-color-active        : #e81e63;
+			        --pr-wishlist-color2-active       : #fff;
+
+			        --pr-compare-color               : #ffffff;
+			        --pr-compare-color2              : #222;
+			        --pr-compare-color-hover         : #222222;
+			        --pr-compare-color2-hover        : #fff;
+			        
+			        --size-list-color                : #ffffff;
+            }</style><style data-shopify="">.t4s-product.t4s-pr-list,
+            .is--listview .t4s-product {
+
+	
+				--content-cl : #878787;
+
+		        --pr-addtocart-color             : #56cfe1;
+		        --pr-addtocart-color2            : #fff;
+		        --pr-addtocart-color-hover       : #222222;
+		        --pr-addtocart-color2-hover      : #fff;
+
+		        --pr-quickview-color             : #56cfe1;
+		        --pr-quickview-color2            : #fff;
+		        --pr-quickview-color-hover       : #222222;
+		        --pr-quickview-color2-hover      : #fff;
+
+		        --pr-wishlist-color              : #ffffff;
+		        --pr-wishlist-color2             : #222;
+		        --pr-wishlist-color-hover        : #222222;
+		        --pr-wishlist-color2-hover       : #fff;
+		        --pr-wishlist-color-active        : #e81e63;
+		        --pr-wishlist-color2-active       : #fff;
+
+		        --pr-compare-color               : #ffffff;
+		        --pr-compare-color2              : #222;
+		        --pr-compare-color-hover         : #222222;
+		        --pr-compare-color2-hover        : #fff;
+		        
+		        --size-list-color                : #ffffff;
+            }</style><style data-shopify="">.t4s-product.t4s-pr-packery {
+
+			        
+			        --product-title-color      : #ffffff;
+					--product-title-color-hover: #56cfe1;
+
+					--product-price-color      : #ffffff;
+					--product-price-color-second  : #696969;
+					--product-price-sale-color : #ec0101;
+
+			        --pr-addtocart-color             : #ffffff;
+			        --pr-addtocart-color2            : #222;
+			        --pr-addtocart-color-hover       : #222222;
+			        --pr-addtocart-color2-hover      : #fff;
+
+			        --pr-quickview-color             : #ffffff;
+			        --pr-quickview-color2            : #222;
+			        --pr-quickview-color-hover       : #222222;
+			        --pr-quickview-color2-hover      : #fff;
+
+			        --pr-wishlist-color              : #ffffff;
+			        --pr-wishlist-color2             : #222;
+			        --pr-wishlist-color-hover        : #222222;
+			        --pr-wishlist-color2-hover       : #fff;
+			        --pr-wishlist-color-active        : #e81e63;
+			        --pr-wishlist-color2-active       : #fff;
+
+			        --pr-compare-color               : #ffffff;
+			        --pr-compare-color2              : #222;
+			        --pr-compare-color-hover         : #222222;
+			        --pr-compare-color2-hover        : #fff;
+			        
+			        --size-list-color                : #ffffff;
+            }</style></div><div id="shopify-section-btn_config" class="shopify-section t4s-section t4s-section-config t4s-section-admn-fixed"><style data-shopify="">:root {
+        --btn-radius:60px;
+        --t4s-other-radius : 0px;
+    }
+    button{
+        font-family: var(--font-family-1) !important; 
+    }
+    .t4s-btn-base {
+        font-family: var(--font-family-1) !important; 
+        --btn-fw:600;
+    }</style><style data-shopify="">.t4s-pr__notify-stock.t4s-btn-color-custom1,
+        .t4s-payment-button.t4s-btn-color-custom1,
+        .t4s-btn-base.t4s-btn-style-default.t4s-btn-color-custom1,
+        .t4s-lm-bar.t4s-btn-color-custom1 {
+            --btn-color           : #ffffff;
+            --btn-background      : #ffb100;
+            --btn-border          : #ffb100;
+            --btn-color-hover     : #ffffff;
+            --btn-background-hover: #ff4e00;
+            --btn-border-hover    :#ff4e00;           
+        }
+        .t4s-btn-base.t4s-btn-style-outline.t4s-btn-color-custom1{
+            --btn-color           : #ffb100;
+            --btn-border          : #ffb100;
+            --btn-color-hover     : #ffffff;
+            --btn-background-hover : #ff4e00;
+        }
+        .t4s-btn-base.t4s-btn-style-bordered.t4s-btn-color-custom1{
+            --btn-color           : #ffb100;
+            --btn-border          : #ffb100;
+            --btn-color-hover     : #ff4e00;
+            --btn-border-hover    : #ff4e00;
+        }
+        .t4s-btn-base.t4s-btn-style-link.t4s-btn-color-custom1{
+            --btn-color           : #ffb100;
+            --btn-border          : #ffb100;
+            --btn-color-hover     : #ff4e00;
+            --btn-border-hover    : #ff4e00;
+        }</style><style data-shopify="">.t4s-pr__notify-stock.t4s-btn-color-custom2,
+        .t4s-payment-button.t4s-btn-color-custom2,
+        .t4s-btn-base.t4s-btn-style-default.t4s-btn-color-custom2,
+        .t4s-lm-bar.t4s-btn-color-custom2 {
+            --btn-color           : #222222;
+            --btn-background      : #f7f7f7;
+            --btn-border          : #f7f7f7;
+            --btn-color-hover     : #222222;
+            --btn-background-hover: #ffffff;
+            --btn-border-hover    :#ffffff;           
+        }
+        .t4s-btn-base.t4s-btn-style-outline.t4s-btn-color-custom2{
+            --btn-color           : #f7f7f7;
+            --btn-border          : #f7f7f7;
+            --btn-color-hover     : #222222;
+            --btn-background-hover : #ffffff;
+        }
+        .t4s-btn-base.t4s-btn-style-bordered.t4s-btn-color-custom2{
+            --btn-color           : #f7f7f7;
+            --btn-border          : #f7f7f7;
+            --btn-color-hover     : #ffffff;
+            --btn-border-hover    : #ffffff;
+        }
+        .t4s-btn-base.t4s-btn-style-link.t4s-btn-color-custom2{
+            --btn-color           : #f7f7f7;
+            --btn-border          : #f7f7f7;
+            --btn-color-hover     : #ffffff;
+            --btn-border-hover    : #ffffff;
+        }</style></div><h1 class="site-header__logo t4s-d-none">Shooz.pk</h1><div id="shopify-section-announcement-bar" class="shopify-section t4-section t4-section-announcement-bar t4s_bk_flickity t4s_tp_cd"><link href="//shooz.pk/cdn/shop/t/7/assets/pre_flickityt4s.min.css?v=80452565481494416591716281116" rel="stylesheet" type="text/css" media="all">
+<style data-shopify="">.t4s-announcement-bar { background-color: #a90000;min-height:20px;font-size:12px;}
+    .t4s-announcement-bar__wrap,.t4s-announcement-bar__wrap a { color:#ffffff }
+    .t4s-announcement-bar__wrap {padding: 5px 10px;min-height:20px}
+    .t4s-announcement-bar__item p a { z-index: 5;position: relative; }.t4s-announcement-bar__item p {margin-bottom:0} .t4s-announcement-bar__item strong {font-size: 14px;font-weight: 600;}
+    .t4s-announcement-bar__close { color:#ffffff;padding: 0;background-color: transparent;line-height: 1;transition: .2s;font-size:12px; }
+    .t4s-announcement-bar__close:hover,.t4s-announcement-bar__close:focus { background-color: transparent !important; opacity: .7; color:#ffffff !important; }
+    .t4s-announcement-bar .t4s-col-auto { line-height: 1; }.t4s-announcement-bar__item p a:hover { opacity: .7 }.t4s-announcement-bar.t4s-type-close-1 .t4s-iconsvg-close {width: 9px;height: 9px;stroke-width: 2px;}.t4s-announcement-bar:not(.t4s-type-close-1) .t4s-iconsvg-close {width: 15px;height: 15px;stroke-width: 1.5px;}.t4s-announcement-bar.t4s-type-close-2 .t4s-announcement-bar__close { font-size:0 !important }.t4s-announcement-bar.t4s-type-close-3 .t4s-iconsvg-close { display: none !important }.t4s-announcement-bar__close.t4s-op-0 { opacity: 0 !important; }
+    svg.t4s-icon-arrow {
+      width: 12px;display: inline-block;
+    }
+    .t4s-announcement-bar__item .t4s-icon-arrow {
+      -webkit-transition: .2s ease-in-out;
+      transition: -webkit-transform .2s ease-in-out,transform .2s ease-in-out;
+    }
+    .t4s-announcement-bar__item:hover .t4s-icon-arrow {
+       transform: translateX(0.25rem);
+    }
+    .t4s-announcement-bar .t4s-countdown-enabled {display: inline-block}</style><svg class="t4s-d-none"><symbol id="icon-announcement-bar" viewBox="0 0 14 10" fill="none"><path fill-rule="evenodd" clip-rule="evenodd" d="M8.537.808a.5.5 0 01.817-.162l4 4a.5.5 0 010 .708l-4 4a.5.5 0 11-.708-.708L11.793 5.5H1a.5.5 0 010-1h10.793L8.646 1.354a.5.5 0 01-.109-.546z" fill="currentColor"></path></symbol></svg><div aria-hidden="false" class="t4s-announcement-bar t4s-pr t4s-oh t4s-type-close-2" data-ver="1_nt" data-date="60">
+    <div class="t4s-container">
+       <div class="t4s-row t4s-gx-0 t4s-flex-nowrap t4s-align-items-center"><div class="t4s-col-item t4s-col-auto t4s-d-none t4s-d-md-block"><button class="t4s-announcement-bar__close t4s-op-0"><svg role="presentation" class="t4s-iconsvg-close" viewBox="0 0 16 14"><path d="M15 0L1 14m14 0L1 0" stroke="currentColor" fill="none" fill-rule="evenodd"></path></svg> close</button></div><div class="t4s-announcement-bar__wrap t4s-col t4s-col-item t4s-d-flex t4s-align-items-center t4s-text-center t4s-row t4s-row-cols-1 t4s-g-0 flickityt4s t4s-slide-eff-fade flickityt4s-enabled is-draggable is-fade t4s-enabled" data-flickityt4s-js="{ &quot;cellAlign&quot;: &quot;center&quot;,&quot;imagesLoaded&quot;: 0,&quot;lazyLoad&quot;: 0,&quot;freeScroll&quot;: 0,&quot;wrapAround&quot;: true,&quot;autoPlay&quot; : 3000,&quot;pauseAutoPlayOnHover&quot; : true, &quot;prevNextButtons&quot;: false,&quot;pageDots&quot;: false, &quot;contain&quot; : 1,&quot;adaptiveHeight&quot; : 1,&quot;dragThreshold&quot; : 5,&quot;percentPosition&quot;: 1 }" tabindex="0"><div class="flickityt4s-viewport" style="height: 23.7969px; touch-action: pan-y;"><div class="flickityt4s-slider" style="left: 0px; transform: translateX(50%);"><div id="b_announcement-bar-0" data-select-flickity="" class="t4s-col-item t4s-announcement-bar__item t4s-pr t4s-oh t4s-rte--list is-selected" style="position: absolute; left: 0px; transform: translateX(-50%);"><p><strong>FREE DELIVERY NATIONWIDE</strong></p></div><div id="b_announcement_t3rx87" data-select-flickity="" class="t4s-col-item t4s-announcement-bar__item t4s-pr t4s-oh t4s-rte--list" aria-hidden="true" style="position: absolute; left: 0px; transform: translateX(-50%);"><p>Today deal sale off 50%. End soon<span data-refresh-owl="" data-countdown-t4s="" data-loop="false" data-date="2023/12/26" data-dayl="0" class="t4s-countdown-enabled expired_cdt4s"></span>. Hurry Up!! <svg class="t4s-icon t4s-icon-arrow" width="13" viewBox="0 0 14 10" fill="none" aria-hidden="true" focusable="false" role="presentation" xmlns="http://www.w3.org/2000/svg"><use href="#icon-announcement-bar"></use></svg></p></div><div id="b_announcement_rNfHfG" data-select-flickity="" class="t4s-col-item t4s-announcement-bar__item t4s-pr t4s-oh t4s-rte--list" aria-hidden="true" style="position: absolute; left: 0px; transform: translateX(-50%);"><p>Delivery time is 3-5 working days</p></div></div></div></div><div class="t4s-col-item t4s-col-auto"><button class="t4s-announcement-bar__close t4s-z-100"><svg role="presentation" class="t4s-iconsvg-close" viewBox="0 0 16 14"><path d="M15 0L1 14m14 0L1 0" stroke="currentColor" fill="none" fill-rule="evenodd"></path></svg> close</button></div></div>
+    </div>
+  </div>
+  <script>try { if (document.cookie.indexOf('t4s_announcement_kalles_1_nt') > -1) { document.getElementById('shopify-section-announcement-bar').setAttribute("aria-hidden", true);document.getElementsByClassName('t4s-announcement-bar')[0].setAttribute("aria-hidden", true);document.getElementsByClassName('t4s-announcement-bar')[0].classList.add('t4s-d-none'); } }catch(err) {}</script></div><div id="shopify-section-top-bar" class="shopify-section t4-section t4s_tp_flickity t4s_tp_cd t4s-pr"><div id="t4s-hsticky__sentinel" class="t4s-op-0 t4s-pe-none t4s-pa t4s-w-100"></div><style>#t4s-hsticky__sentinel {height: 1px;bottom: 0;}</style></div><header id="shopify-section-header-inline" class="shopify-section t4s-section t4s-section-header" style="--t4s-max-width: 1270px; --t4s-max-height: 596.203125px;"><style data-shopify="">.t4s-header__wrapper {
+    --h-text-color      : #222222;
+    --h-text-color-rgb  : 34, 34, 34;
+    --h-text-color-hover: #a90000;
+    --h-bg-color        : #ffffff;
+    background-color: var(--h-bg-color);
+  }
+  .t4s-count-box {
+    --h-count-bgcolor: #a90000;
+    --h-count-color: #ffffff; 
+  }.is-header--stuck .t4s-header__wrapper {
+      --h-text-color      : #222222;
+      --h-text-color-rgb  : 34, 34, 34;
+      --h-text-color-hover: #ba6a34;
+      --h-bg-color        : #ffffff;
+    }
+    .is-header--stuck .header__sticky-logo {
+      display:block !important
+    }
+    .is-header--stuck .header__normal-logo,
+    .is-header--stuck .header__mobile-logo {
+      display:none !important
+    }.t4s-section-header [data-header-height] {
+      min-height: 60px;    
+  }
+  .t4s-header__logo img {
+    padding-top: 5px;
+    padding-bottom: 5px;
+    transform: translateZ(0);
+    max-height: inherit;
+    height: auto;
+    width: 100%;
+    max-width: 100%;
+  }
+  .t4s-header__logo img[src*=".svg"] {
+    height: 100%;
+    perspective: 800px;
+    -webkit-perspective: 800px;
+    backface-visibility: hidden;
+    -webkit-backface-visibility: hidden;
+  }
+  .t4s-site-nav__icons .t4s-site-nav__icon {
+      padding: 0 6px;
+      display: inline-block;
+      line-height: 1;
+  }
+  .t4s-site-nav__icons svg.t4s-icon {
+      color: var(--h-text-color);
+      line-height: 1;
+      vertical-align: middle;
+      transition: color 0.2s ease-in-out;
+      width: 22px;
+      height: 22px;
+  }
+  .t4s-site-nav__icons.t4s-use__kalles svg.t4s-icon--account {
+      width: 24px;
+      height: 24px;
+  }
+  .t4s-site-nav__icons.t4s-use__line svg.t4s-icon {
+    width: 25px;
+    height: 25px;
+  }
+  .t4s-site-nav__icon>a:hover svg.t4s-icon {
+      color: var(--h-text-color-hover);
+  }
+  .t4s-site-nav__icon a { 
+    display: inline-block;
+    line-height: 1;
+  }
+  .t4s-site-nav__cart >a,.t4s-push-menu-btn {color: var(--h-text-color)}
+  .t4s-site-nav__cart >a:hover {color: var(--h-text-color-hover)}
+  @media (min-width: 768px) {
+    .t4s-site-nav__icons .t4s-site-nav__icon {
+        padding: 0 8px;
+    }
+  }
+  @media (min-width: 1025px) {
+      .t4s-section-header [data-header-height] {
+         min-height: 70px;    
+      }.t4s-announcement-bar >.t4s-container, .t4s-top-bar >.t4s-container, .t4s-header__wrapper >.t4s-container {
+          max-width: 100%;
+      }
+      .t4s-header-layout_logo_left .t4s-header__logo {
+          margin-left: 10px;
+      }.t4s-nav__ul {
+          margin: 0;padding:0
+      }
+    .t4s-nav__ul>li> a {
+        color: var(--h-text-color);
+        padding: 5px 17.5px;
+        text-transform: none;
+        font-family: var(--font-family-1);
+        font-weight: 400;
+        font-size: 14px;}
+    .t4s-nav__ul>li> a:hover { color: var(--h-text-color-hover) !important}
+    .t4s-header-layout_logo_left .t4s-col-group_btns {
+        min-width: 16.666667%;
+    }
+    .t4s-nav__ul .t4s-icon-select-arrow {
+        position: static;
+        width: 8px;
+        margin-left: 4px;
+        height: 8px;
+        opacity: .8;
+    }
+    .t4s-header-layout_logo_center .t4s-nav__ul>li> a {
+           padding-left: 5px;
+    }}</style><div data-header-options="{ &quot;isTransparent&quot;: false,&quot;isSticky&quot;: true,&quot;hideScroldown&quot;: true }" class="t4s-header__wrapper t4s-pr t4s-header-layout_logo_left ">
+  <div class="t4s-container">
+    <div data-header-height="" class="t4s-row t4s-gx-15 t4s-gx-md-30 t4s-align-items-center"><div class="t4s-col-md-4 t4s-col-3 t4s-d-lg-none t4s-col-item"><a href="/" data-menu-drawer="" data-drawer-options="{ &quot;id&quot;:&quot;#t4s-menu-drawer&quot; }" class="t4s-push-menu-btn  t4s-lh-1 t4s-d-flex t4s-align-items-center"><svg xmlns="http://www.w3.org/2000/svg" width="30" height="16" viewBox="0 0 30 16" fill="currentColor"><rect width="30" height="1.5"></rect><rect y="7" width="20" height="1.5"></rect><rect y="14" width="30" height="1.5"></rect></svg></a></div>
+        <div class="t4s-col-lg-2 t4s-col-md-4 t4s-col-6 t4s-text-center t4s-text-lg-start t4s-col-item"><div class=" t4s-header__logo t4s-lh-1"><a class="t4s-d-inline-block" href="/"><img loading="eager" srcset="//shooz.pk/cdn/shop/files/WhatsApp_Image_2023-06-06_at_6.12.02_PM_3ac2e1ae-d48d-4253-bfe4-a64e472b3b5a.jpg?v=1699694004&amp;width=110, //shooz.pk/cdn/shop/files/WhatsApp_Image_2023-06-06_at_6.12.02_PM_3ac2e1ae-d48d-4253-bfe4-a64e472b3b5a.jpg?v=1699694004&amp;width=220 2x" src="//shooz.pk/cdn/shop/files/WhatsApp_Image_2023-06-06_at_6.12.02_PM_3ac2e1ae-d48d-4253-bfe4-a64e472b3b5a.jpg?v=1699694004&amp;width=110" class="header__normal-logo t4s-d-none t4s-d-lg-block" width="110" height="47" alt="Shooz.pk" style="width: 110px"><style>@media(max-width: 1024px){.header__sticky-logo {width: 95px !important }}</style>
+    <img loading="lazy" srcset="//shooz.pk/cdn/shop/files/WhatsApp_Image_2023-06-06_at_6.12.02_PM_3ac2e1ae-d48d-4253-bfe4-a64e472b3b5a.jpg?v=1699694004&amp;width=95, //shooz.pk/cdn/shop/files/WhatsApp_Image_2023-06-06_at_6.12.02_PM_3ac2e1ae-d48d-4253-bfe4-a64e472b3b5a.jpg?v=1699694004&amp;width=190 2x" src="//shooz.pk/cdn/shop/files/WhatsApp_Image_2023-06-06_at_6.12.02_PM_3ac2e1ae-d48d-4253-bfe4-a64e472b3b5a.jpg?v=1699694004&amp;width=95" class="header__sticky-logo t4s-d-none t4s-d-none" width="95" height="40" alt="Shooz.pk" style="width: 95px"><img loading="eager" srcset="//shooz.pk/cdn/shop/files/WhatsApp_Image_2023-06-06_at_6.12.02_PM_3ac2e1ae-d48d-4253-bfe4-a64e472b3b5a.jpg?v=1699694004&amp;width=95, //shooz.pk/cdn/shop/files/WhatsApp_Image_2023-06-06_at_6.12.02_PM_3ac2e1ae-d48d-4253-bfe4-a64e472b3b5a.jpg?v=1699694004&amp;width=190 2x" src="//shooz.pk/cdn/shop/files/WhatsApp_Image_2023-06-06_at_6.12.02_PM_3ac2e1ae-d48d-4253-bfe4-a64e472b3b5a.jpg?v=1699694004&amp;width=95" class="header__mobile-logo t4s-d-lg-none" width="95" height="40" alt="Shooz.pk" style="width: 95px"></a></div> </div>
+        <div class="t4s-col t4s-d-none t4s-d-lg-block t4s-col-item"><nav class="t4s-navigation t4s-text-center t4s-nav__hover_sideup t4s-nav-arrow__false"><ul data-menu-nav="" id="t4s-nav-ul" class="t4s-nav__ul t4s-d-inline-flex t4s-flex-wrap t4s-align-items-center"><li id="item_base_k8wGmV" class="t4s-type__simple t4s-menu-item "><a class="t4s-lh-1 t4s-d-flex t4s-align-items-center t4s-pr" href="https://shooz.pk " target="_self">Home</a></li><li id="item_base_CJjceY" class="t4s-type__simple t4s-menu-item "><a class="t4s-lh-1 t4s-d-flex t4s-align-items-center t4s-pr" href="/collections/new-arrivals " target="_self">New Arrivals</a></li><li id="item_base_qVVUc8" class="t4s-type__simple t4s-menu-item "><a class="t4s-lh-1 t4s-d-flex t4s-align-items-center t4s-pr" href="/collections/premium-kicks-1 " target="_self">Premium Kicks</a></li><li id="item_base_NHx84z" class="t4s-type__simple t4s-menu-item "><a class="t4s-lh-1 t4s-d-flex t4s-align-items-center t4s-pr" href="/collections/economical-kicks " target="_self">Economical Kicks</a></li><li id="item_base_E7VRAp" class="t4s-type__simple t4s-menu-item "><a class="t4s-lh-1 t4s-d-flex t4s-align-items-center t4s-pr" href="/collections/slides " target="_self">Slides</a></li><li id="item_base_NT6c7k" class="t4s-type__simple t4s-menu-item "><a class="t4s-lh-1 t4s-d-flex t4s-align-items-center t4s-pr" href="/collections/sale " target="_self">Sale</a></li><li id="item_base_GKmfH7" class="t4s-type__simple t4s-menu-item "><a class="t4s-lh-1 t4s-d-flex t4s-align-items-center t4s-pr" href="/pages/contact " target="_self">Contact Us</a></li></ul></nav></div>
+        <div class="t4s-col-lg-auto t4s-col-md-4 t4s-col-3 t4s-text-end t4s-col-group_btns t4s-col-item t4s-lh-1"><svg xmlns="http://www.w3.org/2000/svg" class="t4s-d-none">
+		  <symbol id="icon-h-search" viewBox="0 0 18 19" fill="none">
+		    <path fill-rule="evenodd" clip-rule="evenodd" d="M11.03 11.68A5.784 5.784 0 112.85 3.5a5.784 5.784 0 018.18 8.18zm.26 1.12a6.78 6.78 0 11.72-.7l5.4 5.4a.5.5 0 11-.71.7l-5.41-5.4z" fill="currentColor"></path>
+		  </symbol>
+		  <symbol id="icon-h-account" viewBox="0 0 24 24" stroke="currentColor" stroke-width="1.2" fill="none" stroke-linecap="round" stroke-linejoin="round">
+		  	<path d="M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2"></path><circle cx="12" cy="7" r="4"></circle>
+		   </symbol>
+		  <symbol id="icon-h-heart" viewBox="0 0 24 24" stroke="currentColor" stroke-width="1.2" fill="none" stroke-linecap="round" stroke-linejoin="round">
+		  	<path d="M20.84 4.61a5.5 5.5 0 0 0-7.78 0L12 5.67l-1.06-1.06a5.5 5.5 0 0 0-7.78 7.78l1.06 1.06L12 21.23l7.78-7.78 1.06-1.06a5.5 5.5 0 0 0 0-7.78z"></path>
+		   </symbol>
+		  <symbol id="icon-h-cart" viewBox="0 0 24 24" stroke="currentColor" stroke-width="1.2" fill="none" stroke-linecap="round" stroke-linejoin="round">
+		  <circle cx="9" cy="21" r="1"></circle><circle cx="20" cy="21" r="1"></circle><path d="M1 1h4l2.68 13.39a2 2 0 0 0 2 1.61h9.72a2 2 0 0 0 2-1.61L23 6H6"></path>
+		   </symbol>
+		</svg><div class="t4s-site-nav__icons t4s-use__kalles is--hover2 t4s-h-cart__design1 t4s-lh-1 t4s-d-inline-flex t4s-align-items-center"><div class="t4s-site-nav__icon t4s-site-nav__search"><a class="t4s-pr" href="/search" data-drawer-delay-="" data-drawer-options="{ &quot;id&quot;:&quot;#t4s-search-hidden&quot; }">
+				<svg class="t4s-icon t4s-icon--search" aria-hidden="true" focusable="false" role="presentation"><use href="#icon-h-search"></use></svg>
+			</a></div><div class="t4s-site-nav__icon t4s-site-nav__account t4s-pr t4s-d-none t4s-d-md-inline-block">
+			<a class="t4s-pr" href="/account" data-drawer-delay-="" data-drawer-options="{ &quot;id&quot;:&quot;#t4s-login-sidebar&quot; }">
+				<svg class="t4s-icon t4s-icon--account" aria-hidden="true" focusable="false" role="presentation"><use href="#icon-h-account"></use></svg>
+			</a></div><div class="t4s-site-nav__icon t4s-site-nav__heart t4s-d-none t4s-d-md-inline-block"><a data-link-wishlist="" class="t4s-pr" href="/search/?view=wishlist">
+			  <svg class="t4s-icon t4s-icon--heart" aria-hidden="true" focusable="false" role="presentation"><use href="#icon-h-heart"></use></svg>
+			  <span data-count-wishlist="" class="t4s-pa t4s-op-0 t4s-ts-op t4s-count-box">0</span>
+	      </a></div><div class="t4s-site-nav__icon t4s-site-nav__cart">	
+		<a href="/cart" data-drawer-delay-="" data-drawer-options="{ &quot;id&quot;:&quot;#t4s-mini_cart&quot; }">
+			<span class="t4s-pr t4s-icon-cart__wrap">
+			  <svg class="t4s-icon t4s-icon--cart" aria-hidden="true" focusable="false" role="presentation"><use href="#icon-h-cart"></use></svg>
+			  <span data-cart-count="" class="t4s-pa t4s-op-0 t4s-ts-op t4s-count-box">0</span>
+			</span>
+			<span class="t4s-h-cart-totals t4s-dn t4s-truncate">
+				<span class="t4s-h-cart__divider t4s-dn">/</span>
+				<span data-cart-tt-price="" class="t4s-h-cart__total">Rs.0.00</span>
+			</span>
+      </a>
+    </div></div><style>
+		.t4s-h-cart__design3 .t4s-count-box {
+		    width: 19px;
+		    height: 19px;
+		    line-height: 19px;
+		    position: static;
+		    display: inline-block;
+		}
+		.t4s-h-cart__design2 .t4s-site-nav__icon:last-child,
+		.t4s-h-cart__design3 .t4s-site-nav__icon:last-child,
+		.t4s-h-cart__design4 .t4s-site-nav__icon:last-child,
+		.t4s-h-cart__design5 .t4s-site-nav__icon:last-child {
+		    padding-right: 0;
+		}
+    @media (min-width: 768px) {
+
+	    	.t4s-h-cart__design2 .t4s-site-nav__cart a,
+	    	.t4s-h-cart__design4 .t4s-site-nav__cart a,
+	    	.t4s-h-cart__design5 .t4s-site-nav__cart a {
+		      display: flex;
+			   align-items: center;
+			   justify-content: center;
+	    	}
+	    	.t4s-h-cart__design2 .t4s-h-cart-totals,
+	    	.t4s-h-cart__design4 .t4s-h-cart-totals {
+			    display: block;
+			    margin-left: 15px;
+			}
+			.t4s-h-cart__design4 .t4s-site-nav__cart .t4s-count-box,
+			.t4s-h-cart__design5 .t4s-site-nav__cart .t4s-count-box {
+				display: none
+			}
+			.t4s-h-cart__design4 .t4s-h-cart-totals {
+				margin-left: 7px;
+			}
+			.t4s-h-cart__design5 .t4s-h-cart__divider {
+			    display: inline-block;
+			}
+			.t4s-h-cart__design5 .t4s-h-cart-totals {
+			    display: block;
+			    margin-left: 7px;
+			}
+			
+			.t4s-h-cart__design1 .t4s-site-nav__icon.t4s-site-nav__btnMenu {
+			    padding-right: 0;
+			}
+    }
+    </style></div></div>
+  </div>
+</div></header><main id="MainContent" class="content-for-layout focus-none" role="main" tabindex="-1">
+        <section id="shopify-section-template--15903647760519__slideshow_KwLdFG" class="shopify-section t4s-section t4s-section-all t4s_bk_flickity t4s_tp_cd t4s-sec-slideshow"><!-- sections/slideshow.liquid -->
+<link href="//shooz.pk/cdn/shop/t/7/assets/pre_flickityt4s.min.css?v=80452565481494416591716281116" rel="stylesheet" type="text/css" media="all">
+<link href="//shooz.pk/cdn/shop/t/7/assets/section.css?v=19467530681101428381716281116" rel="stylesheet" type="text/css" media="all">
+<link href="//shooz.pk/cdn/shop/t/7/assets/slideshow.css?v=119439364818060393511716281117" rel="stylesheet" type="text/css" media="all">
+<link href="//shooz.pk/cdn/shop/t/7/assets/content-position.css?v=17754329806987700181716281114" rel="stylesheet" type="text/css" media="all">
+<link href="//shooz.pk/cdn/shop/t/7/assets/slider-settings.css?v=83879533311557014651716281117" rel="stylesheet" type="text/css" media="all">
+
+<div class="t4s-section-inner t4s_nt_se_template--15903647760519__slideshow_KwLdFG t4s_nt_se_template--15903647760519__slideshow_KwLdFG" style="--bg-color: ;--bg-gradient: ;--border-cl: ;--mg-top: ;--mg-right: auto;--mg-bottom: 50px;--mg-left:auto;--pd-top: ;--pd-right: ;--pd-bottom: ;--pd-left: ;--mgtb-top: ;--mgtb-right: auto;--mgtb-bottom: 50px;--mgtb-left: auto;--pdtb-top: ;--pdtb-right: ;--pdtb-bottom: ;--pdtb-left: ;--mgmb-top: ;--mgmb-right: auto;--mgmb-bottom: 30px;--mgmb-left: auto;--pdmb-top: ;--pdmb-right: ;--pdmb-bottom: ;--pdmb-left: ;--aspect-ratio-cusdt : 600px;--aspect-ratio-custb : 400px;--aspect-ratio-cusmb :250px;"><div class="t4s-slideshow t4s-row t4s-row-cols-1 t4s-gx-0 t4s-flicky-slider t4s_position_8 t4s_cover t4s_ratioadapt t4s-slide-eff-fade t4scuspx1_false t4scuspx2_false t4scuspx3_false flickityt4s flickityt4s-enabled is-draggable is-fade t4s-enabled" data-flickityt4s-js="{
+    &quot;cellAlign&quot;: &quot;center&quot;,&quot;freeScroll&quot;: 0, &quot;contain&quot; : 1,&quot;dragThreshold&quot; : 15,&quot;percentPosition&quot;: 1,&quot;imagesLoaded&quot;: 0,&quot;lazyload&quot;: 0,
+    &quot;arrowIcon&quot;:&quot;2&quot;, &quot;t4sid&quot;: &quot;template--15903647760519__slideshow_KwLdFG&quot;, &quot;prevNextButtons&quot;: false,
+    &quot;pageDots&quot;: false,&quot;pauseAutoPlayOnHover&quot;:true,&quot;wrapAround&quot;: true,&quot;autoPlay&quot;:3500.0,
+    &quot;adaptiveHeight&quot;:true
+}" style="--space-dots: 10px;--flickity-btn-pos: 30px;--flickity-btn-pos-mb: 30px;" tabindex="0"><div class="flickityt4s-viewport" style="height: 490px; touch-action: pan-y;"><div class="flickityt4s-slider" style="left: 0px; transform: translateX(50%);"><div class="t4s-slideshow-item t4s-col-item t4s-slide t4s_position_8 is-selected" style="position: absolute; left: 0px; transform: translateX(-50%);" id="b_image_parent_jrNNDX" data-select-flickity="">
+                <div class="t4s-slideshow-inner t4s-pr t4s-oh t4s_ratio t4s_ratio_hasmb" style="--aspect-ratioapt:2.6122448979591835;--aspect-ratioaptmb:2.6122448979591835;"><img class="t4s-img-as-bg t4s-d-md-none -t4s-lz--fadeIn t4s-slide-none" srcset="//shooz.pk/cdn/shop/files/WhatsApp_Image_2024-03-02_at_12.15.06_AM.jpg?v=1709320532&amp;width=375 375w, //shooz.pk/cdn/shop/files/WhatsApp_Image_2024-03-02_at_12.15.06_AM.jpg?v=1709320532&amp;width=550 550w, //shooz.pk/cdn/shop/files/WhatsApp_Image_2024-03-02_at_12.15.06_AM.jpg?v=1709320532&amp;width=750 750w, //shooz.pk/cdn/shop/files/WhatsApp_Image_2024-03-02_at_12.15.06_AM.jpg?v=1709320532&amp;width=1100 1100w, //shooz.pk/cdn/shop/files/WhatsApp_Image_2024-03-02_at_12.15.06_AM.jpg?v=1709320532&amp;width=1500 1500w, //shooz.pk/cdn/shop/files/WhatsApp_Image_2024-03-02_at_12.15.06_AM.jpg?v=1709320532&amp;width=1780 1780w, //shooz.pk/cdn/shop/files/WhatsApp_Image_2024-03-02_at_12.15.06_AM.jpg?v=1709320532&amp;width=2000 2000w, //shooz.pk/cdn/shop/files/WhatsApp_Image_2024-03-02_at_12.15.06_AM.jpg?v=1709320532&amp;width=3000 3000w,//shooz.pk/cdn/shop/files/WhatsApp_Image_2024-03-02_at_12.15.06_AM.jpg?v=1709320532&amp;width=3840 3840w, //shooz.pk/cdn/shop/files/WhatsApp_Image_2024-03-02_at_12.15.06_AM.jpg?v=1709320532 1280w" sizes="(min-width: 768px) 768px,100vw" src="//shooz.pk/cdn/shop/files/WhatsApp_Image_2024-03-02_at_12.15.06_AM.jpg?v=1709320532&amp;width=1500" loading="lazy" onload="loadImageT4s(this)" alt="" width="1280" height="490">
+                                  <span class="lazyloadt4s-loader is-bg-img t4s-d-md-none" style="background: url(//shooz.pk/cdn/shop/files/WhatsApp_Image_2024-03-02_at_12.15.06_AM.jpg?crop=center&amp;height=1&amp;v=1709320532&amp;width=1)"></span>
+                                  <img class="t4s-img-as-bg t4s-d-none t4s-d-md-block -t4s-lz--fadeIn t4s-slide-none lazyloadt4sed" srcset="//shooz.pk/cdn/shop/files/WhatsApp_Image_2024-03-02_at_12.15.06_AM.jpg?v=1709320532&amp;width=375 375w, //shooz.pk/cdn/shop/files/WhatsApp_Image_2024-03-02_at_12.15.06_AM.jpg?v=1709320532&amp;width=550 550w, //shooz.pk/cdn/shop/files/WhatsApp_Image_2024-03-02_at_12.15.06_AM.jpg?v=1709320532&amp;width=750 750w, //shooz.pk/cdn/shop/files/WhatsApp_Image_2024-03-02_at_12.15.06_AM.jpg?v=1709320532&amp;width=1100 1100w, //shooz.pk/cdn/shop/files/WhatsApp_Image_2024-03-02_at_12.15.06_AM.jpg?v=1709320532&amp;width=1500 1500w, //shooz.pk/cdn/shop/files/WhatsApp_Image_2024-03-02_at_12.15.06_AM.jpg?v=1709320532&amp;width=1780 1780w, //shooz.pk/cdn/shop/files/WhatsApp_Image_2024-03-02_at_12.15.06_AM.jpg?v=1709320532&amp;width=2000 2000w, //shooz.pk/cdn/shop/files/WhatsApp_Image_2024-03-02_at_12.15.06_AM.jpg?v=1709320532&amp;width=3000 3000w,//shooz.pk/cdn/shop/files/WhatsApp_Image_2024-03-02_at_12.15.06_AM.jpg?v=1709320532&amp;width=3840 3840w, //shooz.pk/cdn/shop/files/WhatsApp_Image_2024-03-02_at_12.15.06_AM.jpg?v=1709320532 1280w" sizes="100vw" src="//shooz.pk/cdn/shop/files/WhatsApp_Image_2024-03-02_at_12.15.06_AM.jpg?v=1709320532&amp;width=1500" loading="eager" onload="loadImageT4s(this)" alt="" width="1280" height="490">
+                                  <span class="lazyloadt4s-loader is-bg-img t4s-d-none t4s-d-md-block" style="background: url(//shooz.pk/cdn/shop/files/WhatsApp_Image_2024-03-02_at_12.15.06_AM.jpg?crop=center&amp;height=1&amp;v=1709320532&amp;width=1)"></span><div class="t4s-content-wrap t4s-pe-none t4s-full-width-link t4s-z-100">
+                            <div class="t4s-content-position t4s-container t4s-pa t4s-text-md-start t4s-text-start t4s-bg-content-true t4s-box-content-square-false t4s-br-content-false t4s-br-style-solid" style="--time-animation:1s;--p-left:50%;--p-hx:-50%;--p-top:50%;--p-vy:-50%; --p-left-mb:50%;--p-hx-mb:-50%;--p-top-mb:50%;--p-vy-mb:-50%;--bg-content:rgba(255, 255, 255, 0.0);--content-pd:15px 15px;--content-pd-tb:15px 15px;--content-pd-mb:10px 10px;; --bg-content-radius: 0%;"></div>
+                        </div>
+                    <a href="/collections/all" target="_self" class="t4s-full-width-link t4s-pe-auto" style="--bg-overlay:rgba(0, 0, 0, 0.0);"></a>
+                </div>
+            </div><div class="t4s-slideshow-item t4s-col-item t4s-slide t4s_position_8" id="b_image_parent_afgF4P" data-select-flickity="" aria-hidden="true" style="position: absolute; left: 0px; transform: translateX(-50%);">
+                <div class="t4s-slideshow-inner t4s-pr t4s-oh t4s_ratio t4s_ratio_hasmb" style="--aspect-ratioapt:2.6115342763873777;--aspect-ratioaptmb:2.6115342763873777;"><img class="lazyloadt4s t4s-lz--fadeIn t4s-img-as-bg t4s-d-md-none t4s-slide-none" data-src="//shooz.pk/cdn/shop/files/PhotoRoom_20240302_002653.jpg?v=1709321278&amp;width=1" data-widths="[375, 575, 750]" data-optimumx="2" data-sizes="auto" src="data:image/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==" width="2400" height="919" alt="">
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+                        </div>
+                    <a href="" target="_blank" class="t4s-full-width-link t4s-pe-none " style="--bg-overlay:rgba(0, 0, 0, 0.0);" rel="noopener" aria-describedby="a11y-new-window-message"></a>
+                </div>
+            </div></div></div></div></div><link href="//shooz.pk/cdn/shop/t/7/assets/general-block.css?v=88262974810170776061716281115" rel="stylesheet" type="text/css" media="all">
+</section><section id="shopify-section-template--15903647760519__collections_list_carousel_BGH8fj" class="shopify-section t4s-section t4s_bk_flickity t4s-section-all t4s_tp_cdt t4s-collections-carousel"><!-- sections/collections-list.liquid -->
+<link href="//shooz.pk/cdn/shop/t/7/assets/section.css?v=19467530681101428381716281116" rel="stylesheet" type="text/css" media="all">
+<link href="//shooz.pk/cdn/shop/t/7/assets/collection-item-carousel.css?v=71731126868048105821716281114" rel="stylesheet" type="text/css" media="all">
+<link href="//shooz.pk/cdn/shop/t/7/assets/custom-effect.css?v=68323854132956845141716281115" rel="stylesheet" type="text/css" media="all">
+<link href="//shooz.pk/cdn/shop/t/7/assets/slider-settings.css?v=83879533311557014651716281117" rel="stylesheet" type="text/css" media="all">
+<link href="//shooz.pk/cdn/shop/t/7/assets/pre_flickityt4s.min.css?v=80452565481494416591716281116" rel="stylesheet" type="text/css" media="all">
+<div class="t4s-section-inner t4s-section-show_all t4s_nt_se_template--15903647760519__collections_list_carousel_BGH8fj t4s_se_template--15903647760519__collections_list_carousel_BGH8fj t4s-container-wrap" style="--bg-color: ;--bg-gradient: ;--border-cl: ;--mg-top: ;--mg-right: auto;--mg-bottom: 50px;--mg-left:auto;--pd-top: ;--pd-right: ;--pd-bottom: ;--pd-left: ;--mgtb-top: ;--mgtb-right: auto;--mgtb-bottom: 50px;--mgtb-left: auto;--pdtb-top: ;--pdtb-right: ;--pdtb-bottom: ;--pdtb-left: ;--mgmb-top: ;--mgmb-right: auto;--mgmb-bottom: 30px;--mgmb-left: auto;--pdmb-top: ;--pdmb-right: ;--pdmb-bottom: ;--pdmb-left: ;"><div class="t4s-container"><link href="//shooz.pk/cdn/shop/t/7/assets/top-head.css?v=37867058972263844251716281118" rel="stylesheet" type="text/css" media="all">
+	<div timeline="" hdt-reveal="slide-in" class="t4s-top-heading t4s_des_title_1 t4s-text-center " style="--heading-height: px;--tophead_mb: 30px;" observed="" animationend=""><div class="heading-testimonials-star ">
+		
+		<h3 class="t4s-section-title t4s-title"><span>Shop The Collections</span></h3></div><span class="t4s-section-des t4s-subtitle">Shop the latest products from the most popular collections</span></div><div class="t4s-list-collections t4s-list-collections-carousel t4s-image-rounded-true is--scrollbar_false t4s_ratio1_1 t4s_position_8 t4s_cover t4s-flicky-slider t4s-gx-md-30 t4s-gx-10 t4s-row t4s-row-cols-lg-6 t4s-row-cols-md-5 t4s-row-cols-4 flickityt4s flickityt4s-enabled is-draggable t4s-enabled" data-flickityt4s-js="{&quot;cellSelector&quot;: &quot;.t4s-collection-carousel&quot;, &quot;scrollbar&quot;: false, &quot;t4sid&quot;: &quot;template--15903647760519__collections_list_carousel_BGH8fj&quot;, &quot;setPrevNextButtons&quot;:true, &quot;arrowIcon&quot;:&quot;2&quot;,&quot;imagesLoaded&quot;: 0,&quot;adaptiveHeight&quot;: 0, &quot;contain&quot;: 1, &quot;groupCells&quot;: &quot;100%&quot;, &quot;dragThreshold&quot; : 5, &quot;cellAlign&quot;: &quot;left&quot;,&quot;wrapAround&quot;: false,&quot;prevNextButtons&quot;: false,&quot;percentPosition&quot;: 1,&quot;pageDots&quot;: false, &quot;autoPlay&quot; : 0, &quot;pauseAutoPlayOnHover&quot; : true }" style="--pri-cl: #222222; --pri-hover-cl: #56cfe1; --title-fs: 16px; --title-fw: 500; --space-dots: 10px; --flickity-btn-pos: 30px; --flickity-btn-pos-mb: 10px; --tophead_mb: 30px; --prev-next-top: 91.5px;" tabindex="0"><div class="flickityt4s-viewport" style="height: 225.719px; touch-action: pan-y;"><div class="flickityt4s-slider" style="left: 0px; transform: translateX(0%);"><div class="t4s-col-item t4s-collection-carousel is-selected" id="b_collection_item_H7hdVF" data-select-flickity="" style="position: absolute; left: 0px; transform: translateX(0%);"><div class="t4s-cat-content t4s-text-center t4s-pr t4s-oh t4s-eff t4s-eff-img-none">
+                <div class="t4s-coll-img t4s-pr t4s-oh hdt-reveal--offscreen" data-cacl-slide="" timeline="" hdt-reveal="slide-in" observed="">
+                  <a class="t4s_cat_item_link t4s-img-wrap t4s-d-block" href="/collections/for-men" target="_self">
+                    <div class="t4s_ratio t4s-bg-11" style="--aspect-ratioapt: 0.6831501831501832;background: url(//shooz.pk/cdn/shop/files/Photoroom_20240522_010011.jpg?v=1716321632&amp;width=1); "><img class="lazyloadt4s t4s-lz--fadeIn t4s-obj-eff" data-src="//shooz.pk/cdn/shop/files/Photoroom_20240522_010011.jpg?v=1716321632&amp;width=1" data-widths="[100,200,400,600,700,800,900,1000,1200,1400,1600]" data-optimumx="2" data-sizes="auto" src="data:image/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==" width="1119" height="1638" alt=""></div>
+                  </a>
+                </div><a class="t4s-collection-title" href="/collections/for-men" target="_self">
+                    <span class="t4s-text">Men's</span>
+                  </a></div>  
+            </div><div class="t4s-col-item t4s-collection-carousel is-selected" id="b_collection_item_gLgnR6" data-select-flickity="" style="position: absolute; left: 0px; transform: translateX(100%);"><div class="t4s-cat-content t4s-text-center t4s-pr t4s-oh t4s-eff t4s-eff-img-none">
+                <div class="t4s-coll-img t4s-pr t4s-oh hdt-reveal--offscreen" data-cacl-slide="" timeline="" hdt-reveal="slide-in" observed="">
+                  <a class="t4s_cat_item_link t4s-img-wrap t4s-d-block" href="/collections/for-womens" target="_self">
+                    <div class="t4s_ratio t4s-bg-11" style="--aspect-ratioapt: 0.6831501831501832;background: url(//shooz.pk/cdn/shop/files/Photoroom_20240522_010418.jpg?v=1716321874&amp;width=1); "><img class="lazyloadt4s t4s-lz--fadeIn t4s-obj-eff" data-src="//shooz.pk/cdn/shop/files/Photoroom_20240522_010418.jpg?v=1716321874&amp;width=1" data-widths="[100,200,400,600,700,800,900,1000,1200,1400,1600]" data-optimumx="2" data-sizes="auto" src="data:image/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==" width="1119" height="1638" alt=""></div>
+                  </a>
+                </div><a class="t4s-collection-title" href="/collections/for-womens" target="_self">
+                    <span class="t4s-text">Women's</span>
+                  </a></div>  
+            </div><div class="t4s-col-item t4s-collection-carousel is-selected" id="b_collection_item_RettG9" data-select-flickity="" style="position: absolute; left: 0px; transform: translateX(200%);"><div class="t4s-cat-content t4s-text-center t4s-pr t4s-oh t4s-eff t4s-eff-img-none">
+                <div class="t4s-coll-img t4s-pr t4s-oh hdt-reveal--offscreen" data-cacl-slide="" timeline="" hdt-reveal="slide-in" observed="">
+                  <a class="t4s_cat_item_link t4s-img-wrap t4s-d-block" href="/collections/new-arrivals" target="_self">
+                    <div class="t4s_ratio t4s-bg-11" style="--aspect-ratioapt: 0.6831501831501832;background: url(//shooz.pk/cdn/shop/files/Photoroom_20240521_201937.jpg?v=1716304790&amp;width=1); "><img class="lazyloadt4s t4s-lz--fadeIn t4s-obj-eff" data-src="//shooz.pk/cdn/shop/files/Photoroom_20240521_201937.jpg?v=1716304790&amp;width=1" data-widths="[100,200,400,600,700,800,900,1000,1200,1400,1600]" data-optimumx="2" data-sizes="auto" src="data:image/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==" width="1119" height="1638" alt=""></div>
+                  </a>
+                </div><a class="t4s-collection-title" href="/collections/new-arrivals" target="_self">
+                    <span class="t4s-text">New Arrivals</span>
+                  </a></div>  
+            </div><div class="t4s-col-item t4s-collection-carousel is-selected" id="b_collection_item_FVRAqD" data-select-flickity="" style="position: absolute; left: 0px; transform: translateX(300%);"><div class="t4s-cat-content t4s-text-center t4s-pr t4s-oh t4s-eff t4s-eff-img-none">
+                <div class="t4s-coll-img t4s-pr t4s-oh hdt-reveal--offscreen" data-cacl-slide="" timeline="" hdt-reveal="slide-in" observed="">
+                  <a class="t4s_cat_item_link t4s-img-wrap t4s-d-block" href="/collections/ajs" target="_self">
+                    <div class="t4s_ratio t4s-bg-11" style="--aspect-ratioapt: 0.6831501831501832;background: url(//shooz.pk/cdn/shop/files/Photoroom_20240522_010553.jpg?v=1716321964&amp;width=1); "><img class="lazyloadt4s t4s-lz--fadeIn t4s-obj-eff" data-src="//shooz.pk/cdn/shop/files/Photoroom_20240522_010553.jpg?v=1716321964&amp;width=1" data-widths="[100,200,400,600,700,800,900,1000,1200,1400,1600]" data-optimumx="2" data-sizes="auto" src="data:image/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==" width="1119" height="1638" alt=""></div>
+                  </a>
+                </div><a class="t4s-collection-title" href="/collections/ajs" target="_self">
+                    <span class="t4s-text">AJ’s</span>
+                  </a></div>  
+            </div><div class="t4s-col-item t4s-collection-carousel is-selected" id="b_collection_item_j6mQMV" data-select-flickity="" style="position: absolute; left: 0px; transform: translateX(400%);"><div class="t4s-cat-content t4s-text-center t4s-pr t4s-oh t4s-eff t4s-eff-img-none">
+                <div class="t4s-coll-img t4s-pr t4s-oh hdt-reveal--offscreen" data-cacl-slide="" timeline="" hdt-reveal="slide-in" observed="">
+                  <a class="t4s_cat_item_link t4s-img-wrap t4s-d-block" href="/collections/runners" target="_self">
+                    <div class="t4s_ratio t4s-bg-11" style="--aspect-ratioapt: 0.6831501831501832;background: url(//shooz.pk/cdn/shop/files/Photoroom_20240522_010756.jpg?v=1716322087&amp;width=1); "><img class="lazyloadt4s t4s-lz--fadeIn t4s-obj-eff" data-src="//shooz.pk/cdn/shop/files/Photoroom_20240522_010756.jpg?v=1716322087&amp;width=1" data-widths="[100,200,400,600,700,800,900,1000,1200,1400,1600]" data-optimumx="2" data-sizes="auto" src="data:image/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==" width="1119" height="1638" alt=""></div>
+                  </a>
+                </div><a class="t4s-collection-title" href="/collections/runners" target="_self">
+                    <span class="t4s-text">Runner’s</span>
+                  </a></div>  
+            </div><div class="t4s-col-item t4s-collection-carousel is-selected" id="b_collection_item_Ya7rAn" data-select-flickity="" style="position: absolute; left: 0px; transform: translateX(500%);"><div class="t4s-cat-content t4s-text-center t4s-pr t4s-oh t4s-eff t4s-eff-img-none">
+                <div class="t4s-coll-img t4s-pr t4s-oh hdt-reveal--offscreen" data-cacl-slide="" timeline="" hdt-reveal="slide-in" observed="">
+                  <a class="t4s_cat_item_link t4s-img-wrap t4s-d-block" href="/collections/slides" target="_self">
+                    <div class="t4s_ratio t4s-bg-11" style="--aspect-ratioapt: 0.6831501831501832;background: url(//shooz.pk/cdn/shop/files/Photoroom_20240522_010930.jpg?v=1716322217&amp;width=1); "><img class="lazyloadt4s t4s-lz--fadeIn t4s-obj-eff" data-src="//shooz.pk/cdn/shop/files/Photoroom_20240522_010930.jpg?v=1716322217&amp;width=1" data-widths="[100,200,400,600,700,800,900,1000,1200,1400,1600]" data-optimumx="2" data-sizes="auto" src="data:image/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==" width="1119" height="1638" alt=""></div>
+                  </a>
+                </div><a class="t4s-collection-title" href="/collections/slides" target="_self">
+                    <span class="t4s-text">Slide’s</span>
+                  </a></div>  
+            </div><div class="t4s-col-item t4s-collection-carousel" id="b_collection_item_Ac8L4y" data-select-flickity="" aria-hidden="true" style="position: absolute; left: 0px; transform: translateX(600%);"><div class="t4s-cat-content t4s-text-center t4s-pr t4s-oh t4s-eff t4s-eff-img-none">
+                <div class="t4s-coll-img t4s-pr t4s-oh hdt-reveal--offscreen" data-cacl-slide="" timeline="" hdt-reveal="slide-in" observed="">
+                  <a class="t4s_cat_item_link t4s-img-wrap t4s-d-block" href="/collections/jeans" target="_self">
+                    <div class="t4s_ratio t4s-bg-11" style="--aspect-ratioapt: 0.6831501831501832;background: url(//shooz.pk/cdn/shop/files/Photoroom_20240522_011235.jpg?v=1716322515&amp;width=1); "><img class="lazyloadt4s t4s-lz--fadeIn t4s-obj-eff" data-src="//shooz.pk/cdn/shop/files/Photoroom_20240522_011235.jpg?v=1716322515&amp;width=1" data-widths="[100,200,400,600,700,800,900,1000,1200,1400,1600]" data-optimumx="2" data-sizes="auto" src="data:image/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==" width="1119" height="1638" alt=""></div>
+                  </a>
+                </div><a class="t4s-collection-title" href="/collections/jeans" target="_self">
+                    <span class="t4s-text">Jeans</span>
+                  </a></div>  
+            </div><div class="t4s-col-item t4s-collection-carousel" id="b_collection_item_MA6cTa" data-select-flickity="" aria-hidden="true" style="position: absolute; left: 0px; transform: translateX(700%);"><div class="t4s-cat-content t4s-text-center t4s-pr t4s-oh t4s-eff t4s-eff-img-none">
+                <div class="t4s-coll-img t4s-pr t4s-oh hdt-reveal--offscreen" data-cacl-slide="" timeline="" hdt-reveal="slide-in" observed="">
+                  <a class="t4s_cat_item_link t4s-img-wrap t4s-d-block" href="/collections/af" target="_self">
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+                  </a>
+                </div><a class="t4s-collection-title" href="/collections/af" target="_self">
+                    <span class="t4s-text">AF’s</span>
+                  </a></div>  
+            </div></div></div></div></div></div></section><section id="shopify-section-template--15903647760519__1646035317ea8b6928" class="shopify-section t4s-section t4s_bk_flickity t4s-section-all t4s_tp_cd t4s-featured-products t4s_tp_istope"><!-- sections/featured-collection.liquid -->
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+		
+		<h3 class="t4s-section-title t4s-title"><span>Top Trending Products</span></h3></div><span class="t4s-section-des t4s-subtitle">Top view in this week</span></div><link href="//shooz.pk/cdn/shop/t/7/assets/button-style.css?v=14410007395220421991716281114" rel="stylesheet" type="text/css" media="all">
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+    <div data-collection-url="/collections/new-arrivals" data-contentlm-replace="" class="t4s_box_pr_grid t4s-products t4s-justify-content-center t4s-text-default t4s_ratio1_1 t4s_position_8 t4s_cover t4s-row t4s-row-cols-lg-4 t4s-row-cols-md-3 t4s-row-cols-2 t4s-gx-md-30 t4s-gy-md-30 t4s-gx-10 t4s-gy-10"><div class="t4s-product t4s-pr-grid t4s-pr-style1 t4s-pr-8110171521159 t4s-col-item is-t4s-pr-created" data-product-options="{ &quot;id&quot;:&quot;8110171521159&quot;,&quot;cusQty&quot;:&quot;1&quot;,&quot;available&quot;:true, &quot;handle&quot;:&quot;aj-1-black-toe-lows-1&quot;, &quot;isDefault&quot;: false, &quot;VariantFirstID&quot;: 42761579954311, &quot;customBadge&quot;:null, &quot;customBadgeHandle&quot;:null,&quot;dateStart&quot;:1749041967, &quot;compare_at_price&quot;:800000,&quot;price&quot;:599900, &quot;isPreoder&quot;:false,&quot;isExternal&quot;:false,&quot;image2&quot;:&quot;\/\/shooz.pk\/cdn\/shop\/files\/61E9BB7C-EA01-4756-AB79-6024E44821FD.jpg?v=1749041989\u0026width=1&quot;,&quot;alt&quot;:&quot;Aj 1 Black toe lows&quot;,&quot;isGrouped&quot;:false,&quot;maxQuantity&quot;:9999 }">
+  <div class="t4s-product-wrapper hdt-reveal--offscreen" timeline="" hdt-reveal="slide-in" observed="">
+    <div data-cacl-slide="" class="t4s-product-inner t4s-pr t4s-oh"><div class="t4s-product-img t4s_ratio is-show-img2" data-style="--aspect-ratioapt: 0.75">
+    <img data-pr-img="" class="t4s-product-main-img lazyloadt4s" loading="lazy" src="data:image/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==" data-src="//shooz.pk/cdn/shop/files/9D0C01CC-A23C-43EF-A398-0BE0D59C5F69.jpg?v=1749042021&amp;width=1" data-widths="[100,200,330,400,500,600,700,800,900]" data-optimumx="2" data-sizes="auto" width="3024" height="4032" alt="Aj 1 Black toe lows">
+    <span class="lazyloadt4s-loader"></span>
+    <img data-sizes-scale="1.1" data-src="//shooz.pk/cdn/shop/files/61E9BB7C-EA01-4756-AB79-6024E44821FD.jpg?v=1749041989&amp;width=1" data-pr-img2="" class="t4s-product-hover-img lazyloadt4s" loading="lazy" src="data:image/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==" data-widths="[100,200,360,400,500,600,700,800,900,1000]" data-optimumx="2" data-sizes="auto" alt="Aj 1 Black toe lows">
+    <noscript><img class="t4s-product-main-img" loading="lazy" src="//shooz.pk/cdn/shop/files/9D0C01CC-A23C-43EF-A398-0BE0D59C5F69.jpg?v=1749042021&width=600"  alt="Aj 1 Black toe lows"></noscript>
+</div><div data-product-badge="" data-sort="sale,new,soldout,preOrder,custom" class="t4s-product-badge"><span data-badge-sale="" class="t4s-badge-item t4s-badge-sale">-25%</span></div>
+      <div class="t4s-product-btns">
+         <a href="/collections/new-arrivals/products/aj-1-black-toe-lows-1" data-tooltip="" data-id="8110171521159" rel="nofollow" class="t4s-pr-item-btn t4s-pr-quickview t4s-tooltip-actived" data-action-quickview=""><span class="t4s-svg-pr-icon"><svg viewBox="0 0 24 24"><use xlink:href="#t4s-icon-qv"></use></svg></span><span class="t4s-text-pr">Quick view</span></a>
+         <a href="/collections/new-arrivals/products/aj-1-black-toe-lows-1" data-atc-selector="" data-tooltip="" data-id="8110171521159" rel="nofollow" class="t4s-pr-item-btn t4s-pr-addtocart t4s-tooltip-actived" dat-qty="1" data-action-quickshop=""><span class="t4s-svg-pr-icon"><svg viewBox="0 0 24 24"><use xlink:href="#t4s-icon-atc"></use></svg></span><span class="t4s-text-pr">Quick Shop</span></a>
+      </div>
+      <div class="t4s-product-btns2"><a href="/collections/new-arrivals/products/aj-1-black-toe-lows-1" data-tooltip="right" data-id="8110171521159" rel="nofollow" class="t4s-pr-item-btn t4s-pr-wishlist t4s-tooltip-actived" data-action-wishlist=""><span class="t4s-svg-pr-icon"><svg viewBox="0 0 24 24"><use xlink:href="#t4s-icon-wis"></use></svg></span><span class="t4s-text-pr">Add to Wishlist</span></a>
+      </div><div class="t4s-product-sizes"><span class="t4s-truncate t4s-d-block t4s-w-100"><span>40</span><span>41</span><span>42</span><span>43</span><span>44</span><span>45</span></span></div><a data-pr-href="" class="t4s-full-width-link is--href-replaced" href="/collections/new-arrivals/products/aj-1-black-toe-lows-1"></a>
+    </div>
+    <div class="t4s-product-info">
+      <div class="t4s-product-info__inner"><h3 class="t4s-product-title"><a data-pr-href="" href="/collections/new-arrivals/products/aj-1-black-toe-lows-1" class="is--href-replaced">Aj 1 Black toe lows</a></h3><div class="t4s-product-price" data-pr-price="" data-product-price=""><del>Rs.8,000.00</del><ins>Rs.5,999.00</ins></div></div>
+    </div>
+  </div></div><div class="t4s-product t4s-pr-grid t4s-pr-style1 t4s-pr-8110171029639 t4s-col-item is-t4s-pr-created" data-product-options="{ &quot;id&quot;:&quot;8110171029639&quot;,&quot;cusQty&quot;:&quot;1&quot;,&quot;available&quot;:true, &quot;handle&quot;:&quot;copy-aj-1-rebellionare-highs&quot;, &quot;isDefault&quot;: false, &quot;VariantFirstID&quot;: 42761577693319, &quot;customBadge&quot;:null, &quot;customBadgeHandle&quot;:null,&quot;dateStart&quot;:1749041904, &quot;compare_at_price&quot;:800000,&quot;price&quot;:599900, &quot;isPreoder&quot;:false,&quot;isExternal&quot;:false,&quot;image2&quot;:&quot;\/\/shooz.pk\/cdn\/shop\/files\/18685167-1409-4341-A3B5-9DBB6AAFFEEB.jpg?v=1719670497\u0026width=1&quot;,&quot;alt&quot;:&quot;Aj 1 Rebellionare highs&quot;,&quot;isGrouped&quot;:false,&quot;maxQuantity&quot;:9999 }">
+  <div class="t4s-product-wrapper hdt-reveal--offscreen" timeline="" hdt-reveal="slide-in" observed="">
+    <div data-cacl-slide="" class="t4s-product-inner t4s-pr t4s-oh"><div class="t4s-product-img t4s_ratio is-show-img2" data-style="--aspect-ratioapt: 0.75">
+    <img data-pr-img="" class="t4s-product-main-img lazyloadt4s" loading="lazy" src="data:image/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==" data-src="//shooz.pk/cdn/shop/files/2B207319-3821-407A-9500-E7CC4FDBAF00.jpg?v=1719670497&amp;width=1" data-widths="[100,200,330,400,500,600,700,800,900]" data-optimumx="2" data-sizes="auto" width="3024" height="4032" alt="Aj 1 Rebellionare highs">
+    <span class="lazyloadt4s-loader"></span>
+    <img data-sizes-scale="1.1" data-src="//shooz.pk/cdn/shop/files/18685167-1409-4341-A3B5-9DBB6AAFFEEB.jpg?v=1719670497&amp;width=1" data-pr-img2="" class="t4s-product-hover-img lazyloadt4s" loading="lazy" src="data:image/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==" data-widths="[100,200,360,400,500,600,700,800,900,1000]" data-optimumx="2" data-sizes="auto" alt="Aj 1 Rebellionare highs">
+    <noscript><img class="t4s-product-main-img" loading="lazy" src="//shooz.pk/cdn/shop/files/2B207319-3821-407A-9500-E7CC4FDBAF00.jpg?v=1719670497&width=600"  alt="Aj 1 Rebellionare highs"></noscript>
+</div><div data-product-badge="" data-sort="sale,new,soldout,preOrder,custom" class="t4s-product-badge"><span data-badge-sale="" class="t4s-badge-item t4s-badge-sale">-25%</span></div>
+      <div class="t4s-product-btns">
+         <a href="/collections/new-arrivals/products/copy-aj-1-rebellionare-highs" data-tooltip="" data-id="8110171029639" rel="nofollow" class="t4s-pr-item-btn t4s-pr-quickview t4s-tooltip-actived" data-action-quickview=""><span class="t4s-svg-pr-icon"><svg viewBox="0 0 24 24"><use xlink:href="#t4s-icon-qv"></use></svg></span><span class="t4s-text-pr">Quick view</span></a>
+         <a href="/collections/new-arrivals/products/copy-aj-1-rebellionare-highs" data-atc-selector="" data-tooltip="" data-id="8110171029639" rel="nofollow" class="t4s-pr-item-btn t4s-pr-addtocart t4s-tooltip-actived" dat-qty="1" data-action-quickshop=""><span class="t4s-svg-pr-icon"><svg viewBox="0 0 24 24"><use xlink:href="#t4s-icon-atc"></use></svg></span><span class="t4s-text-pr">Quick Shop</span></a>
+      </div>
+      <div class="t4s-product-btns2"><a href="/collections/new-arrivals/products/copy-aj-1-rebellionare-highs" data-tooltip="right" data-id="8110171029639" rel="nofollow" class="t4s-pr-item-btn t4s-pr-wishlist t4s-tooltip-actived" data-action-wishlist=""><span class="t4s-svg-pr-icon"><svg viewBox="0 0 24 24"><use xlink:href="#t4s-icon-wis"></use></svg></span><span class="t4s-text-pr">Add to Wishlist</span></a>
+      </div><div class="t4s-product-sizes"><span class="t4s-truncate t4s-d-block t4s-w-100"><span>40</span><span>41</span><span>42</span><span>43</span><span>44</span><span>45</span></span></div><a data-pr-href="" class="t4s-full-width-link is--href-replaced" href="/collections/new-arrivals/products/copy-aj-1-rebellionare-highs"></a>
+    </div>
+    <div class="t4s-product-info">
+      <div class="t4s-product-info__inner"><h3 class="t4s-product-title"><a data-pr-href="" href="/collections/new-arrivals/products/copy-aj-1-rebellionare-highs" class="is--href-replaced">Aj 1 Rebellionare highs</a></h3><div class="t4s-product-price" data-pr-price="" data-product-price=""><del>Rs.8,000.00</del><ins>Rs.5,999.00</ins></div></div>
+    </div>
+  </div></div><div class="t4s-product t4s-pr-grid t4s-pr-style1 t4s-pr-8110168801415 t4s-col-item is-t4s-pr-created" data-product-options="{ &quot;id&quot;:&quot;8110168801415&quot;,&quot;cusQty&quot;:&quot;1&quot;,&quot;available&quot;:true, &quot;handle&quot;:&quot;aj-1-phantom-lows-pink-laces-included&quot;, &quot;isDefault&quot;: false, &quot;VariantFirstID&quot;: 42761566290055, &quot;customBadge&quot;:null, &quot;customBadgeHandle&quot;:null,&quot;dateStart&quot;:1749041625, &quot;compare_at_price&quot;:800000,&quot;price&quot;:599900, &quot;isPreoder&quot;:false,&quot;isExternal&quot;:false,&quot;image2&quot;:&quot;\/\/shooz.pk\/cdn\/shop\/files\/B02D9953-9245-4F43-B53E-84B155464675.jpg?v=1749041672\u0026width=1&quot;,&quot;alt&quot;:&quot;Aj 1 phantom lows (Pink laces included)&quot;,&quot;isGrouped&quot;:false,&quot;maxQuantity&quot;:9999 }">
+  <div class="t4s-product-wrapper hdt-reveal--offscreen" timeline="" hdt-reveal="slide-in" observed="">
+    <div data-cacl-slide="" class="t4s-product-inner t4s-pr t4s-oh"><div class="t4s-product-img t4s_ratio is-show-img2" data-style="--aspect-ratioapt: 0.75">
+    <img data-pr-img="" class="t4s-product-main-img lazyloadt4s" loading="lazy" src="data:image/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==" data-src="//shooz.pk/cdn/shop/files/FC8BD162-8A14-4C93-9633-E3BC710739A8.jpg?v=1749041672&amp;width=1" data-widths="[100,200,330,400,500,600,700,800,900]" data-optimumx="2" data-sizes="auto" width="3024" height="4032" alt="Aj 1 phantom lows (Pink laces included)">
+    <span class="lazyloadt4s-loader"></span>
+    <img data-sizes-scale="1.1" data-src="//shooz.pk/cdn/shop/files/B02D9953-9245-4F43-B53E-84B155464675.jpg?v=1749041672&amp;width=1" data-pr-img2="" class="t4s-product-hover-img lazyloadt4s" loading="lazy" src="data:image/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==" data-widths="[100,200,360,400,500,600,700,800,900,1000]" data-optimumx="2" data-sizes="auto" alt="Aj 1 phantom lows (Pink laces included)">
+    <noscript><img class="t4s-product-main-img" loading="lazy" src="//shooz.pk/cdn/shop/files/FC8BD162-8A14-4C93-9633-E3BC710739A8.jpg?v=1749041672&width=600"  alt="Aj 1 phantom lows (Pink laces included)"></noscript>
+</div><div data-product-badge="" data-sort="sale,new,soldout,preOrder,custom" class="t4s-product-badge"><span data-badge-sale="" class="t4s-badge-item t4s-badge-sale">-25%</span></div>
+      <div class="t4s-product-btns">
+         <a href="/collections/new-arrivals/products/aj-1-phantom-lows-pink-laces-included" data-tooltip="" data-id="8110168801415" rel="nofollow" class="t4s-pr-item-btn t4s-pr-quickview t4s-tooltip-actived" data-action-quickview=""><span class="t4s-svg-pr-icon"><svg viewBox="0 0 24 24"><use xlink:href="#t4s-icon-qv"></use></svg></span><span class="t4s-text-pr">Quick view</span></a>
+         <a href="/collections/new-arrivals/products/aj-1-phantom-lows-pink-laces-included" data-atc-selector="" data-tooltip="" data-id="8110168801415" rel="nofollow" class="t4s-pr-item-btn t4s-pr-addtocart t4s-tooltip-actived" dat-qty="1" data-action-quickshop=""><span class="t4s-svg-pr-icon"><svg viewBox="0 0 24 24"><use xlink:href="#t4s-icon-atc"></use></svg></span><span class="t4s-text-pr">Quick Shop</span></a>
+      </div>
+      <div class="t4s-product-btns2"><a href="/collections/new-arrivals/products/aj-1-phantom-lows-pink-laces-included" data-tooltip="right" data-id="8110168801415" rel="nofollow" class="t4s-pr-item-btn t4s-pr-wishlist t4s-tooltip-actived" data-action-wishlist=""><span class="t4s-svg-pr-icon"><svg viewBox="0 0 24 24"><use xlink:href="#t4s-icon-wis"></use></svg></span><span class="t4s-text-pr">Add to Wishlist</span></a>
+      </div><div class="t4s-product-sizes"><span class="t4s-truncate t4s-d-block t4s-w-100"><span>40</span><span>41</span><span>42</span><span>43</span><span>44</span></span></div><a data-pr-href="" class="t4s-full-width-link is--href-replaced" href="/collections/new-arrivals/products/aj-1-phantom-lows-pink-laces-included"></a>
+    </div>
+    <div class="t4s-product-info">
+      <div class="t4s-product-info__inner"><h3 class="t4s-product-title"><a data-pr-href="" href="/collections/new-arrivals/products/aj-1-phantom-lows-pink-laces-included" class="is--href-replaced">Aj 1 phantom lows (Pink laces included)</a></h3><div class="t4s-product-price" data-pr-price="" data-product-price=""><del>Rs.8,000.00</del><ins>Rs.5,999.00</ins></div></div>
+    </div>
+  </div></div><div class="t4s-product t4s-pr-grid t4s-pr-style1 t4s-pr-8110167654535 t4s-col-item is-t4s-pr-created" data-product-options="{ &quot;id&quot;:&quot;8110167654535&quot;,&quot;cusQty&quot;:&quot;1&quot;,&quot;available&quot;:true, &quot;handle&quot;:&quot;af-1-camel-premium-batch&quot;, &quot;isDefault&quot;: false, &quot;VariantFirstID&quot;: 42761563930759, &quot;customBadge&quot;:null, &quot;customBadgeHandle&quot;:null,&quot;dateStart&quot;:1749041435, &quot;compare_at_price&quot;:700000,&quot;price&quot;:549900, &quot;isPreoder&quot;:false,&quot;isExternal&quot;:false,&quot;image2&quot;:&quot;\/\/shooz.pk\/cdn\/shop\/files\/07E2530C-DB07-4D30-BE25-6155311471E1.jpg?v=1749041488\u0026width=1&quot;,&quot;alt&quot;:&quot;Af 1 Camel (Premium batch)&quot;,&quot;isGrouped&quot;:false,&quot;maxQuantity&quot;:9999 }">
+  <div class="t4s-product-wrapper hdt-reveal--offscreen" timeline="" hdt-reveal="slide-in" observed="">
+    <div data-cacl-slide="" class="t4s-product-inner t4s-pr t4s-oh"><div class="t4s-product-img t4s_ratio is-show-img2" data-style="--aspect-ratioapt: 0.75">
+    <img data-pr-img="" class="t4s-product-main-img lazyloadt4s" loading="lazy" src="data:image/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==" data-src="//shooz.pk/cdn/shop/files/4317CA8A-0B89-4248-A58C-3BCDB9037998.jpg?v=1749041488&amp;width=1" data-widths="[100,200,330,400,500,600,700,800,900]" data-optimumx="2" data-sizes="auto" width="3024" height="4032" alt="Af 1 Camel (Premium batch)">
+    <span class="lazyloadt4s-loader"></span>
+    <img data-sizes-scale="1.1" data-src="//shooz.pk/cdn/shop/files/07E2530C-DB07-4D30-BE25-6155311471E1.jpg?v=1749041488&amp;width=1" data-pr-img2="" class="t4s-product-hover-img lazyloadt4s" loading="lazy" src="data:image/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==" data-widths="[100,200,360,400,500,600,700,800,900,1000]" data-optimumx="2" data-sizes="auto" alt="Af 1 Camel (Premium batch)">
+    <noscript><img class="t4s-product-main-img" loading="lazy" src="//shooz.pk/cdn/shop/files/4317CA8A-0B89-4248-A58C-3BCDB9037998.jpg?v=1749041488&width=600"  alt="Af 1 Camel (Premium batch)"></noscript>
+</div><div data-product-badge="" data-sort="sale,new,soldout,preOrder,custom" class="t4s-product-badge"><span data-badge-sale="" class="t4s-badge-item t4s-badge-sale">-21%</span></div>
+      <div class="t4s-product-btns">
+         <a href="/collections/new-arrivals/products/af-1-camel-premium-batch" data-tooltip="" data-id="8110167654535" rel="nofollow" class="t4s-pr-item-btn t4s-pr-quickview t4s-tooltip-actived" data-action-quickview=""><span class="t4s-svg-pr-icon"><svg viewBox="0 0 24 24"><use xlink:href="#t4s-icon-qv"></use></svg></span><span class="t4s-text-pr">Quick view</span></a>
+         <a href="/collections/new-arrivals/products/af-1-camel-premium-batch" data-atc-selector="" data-tooltip="" data-id="8110167654535" rel="nofollow" class="t4s-pr-item-btn t4s-pr-addtocart t4s-tooltip-actived" dat-qty="1" data-action-quickshop=""><span class="t4s-svg-pr-icon"><svg viewBox="0 0 24 24"><use xlink:href="#t4s-icon-atc"></use></svg></span><span class="t4s-text-pr">Quick Shop</span></a>
+      </div>
+      <div class="t4s-product-btns2"><a href="/collections/new-arrivals/products/af-1-camel-premium-batch" data-tooltip="right" data-id="8110167654535" rel="nofollow" class="t4s-pr-item-btn t4s-pr-wishlist t4s-tooltip-actived" data-action-wishlist=""><span class="t4s-svg-pr-icon"><svg viewBox="0 0 24 24"><use xlink:href="#t4s-icon-wis"></use></svg></span><span class="t4s-text-pr">Add to Wishlist</span></a>
+      </div><div class="t4s-product-sizes"><span class="t4s-truncate t4s-d-block t4s-w-100"><span>38</span><span>40</span><span>41</span><span>42</span><span>43</span></span></div><a data-pr-href="" class="t4s-full-width-link is--href-replaced" href="/collections/new-arrivals/products/af-1-camel-premium-batch"></a>
+    </div>
+    <div class="t4s-product-info">
+      <div class="t4s-product-info__inner"><h3 class="t4s-product-title"><a data-pr-href="" href="/collections/new-arrivals/products/af-1-camel-premium-batch" class="is--href-replaced">Af 1 Camel (Premium batch)</a></h3><div class="t4s-product-price" data-pr-price="" data-product-price=""><del>Rs.7,000.00</del><ins>Rs.5,499.00</ins></div></div>
+    </div>
+  </div></div><div class="t4s-product t4s-pr-grid t4s-pr-style1 t4s-pr-8110166311047 t4s-col-item is-t4s-pr-created" data-product-options="{ &quot;id&quot;:&quot;8110166311047&quot;,&quot;cusQty&quot;:&quot;1&quot;,&quot;available&quot;:true, &quot;handle&quot;:&quot;ad-bounce-natural-colour&quot;, &quot;isDefault&quot;: false, &quot;VariantFirstID&quot;: 42761555116167, &quot;customBadge&quot;:null, &quot;customBadgeHandle&quot;:null,&quot;dateStart&quot;:1749041275, &quot;compare_at_price&quot;:850000,&quot;price&quot;:699900, &quot;isPreoder&quot;:false,&quot;isExternal&quot;:false,&quot;image2&quot;:&quot;\/\/shooz.pk\/cdn\/shop\/files\/AA6AC9EB-48A3-4757-8E25-E1EADBA8AAB7.jpg?v=1749041322\u0026width=1&quot;,&quot;alt&quot;:&quot;AD Bounce- Natural colour&quot;,&quot;isGrouped&quot;:false,&quot;maxQuantity&quot;:9999 }">
+  <div class="t4s-product-wrapper hdt-reveal--offscreen" timeline="" hdt-reveal="slide-in" observed="">
+    <div data-cacl-slide="" class="t4s-product-inner t4s-pr t4s-oh"><div class="t4s-product-img t4s_ratio is-show-img2" data-style="--aspect-ratioapt: 0.75">
+    <img data-pr-img="" class="t4s-product-main-img lazyloadt4s" loading="lazy" src="data:image/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==" data-src="//shooz.pk/cdn/shop/files/4A014F07-B02D-4825-9770-477AD78DD55D.jpg?v=1749041322&amp;width=1" data-widths="[100,200,330,400,500,600,700,800,900]" data-optimumx="2" data-sizes="auto" width="3024" height="4032" alt="AD Bounce- Natural colour">
+    <span class="lazyloadt4s-loader"></span>
+    <img data-sizes-scale="1.1" data-src="//shooz.pk/cdn/shop/files/AA6AC9EB-48A3-4757-8E25-E1EADBA8AAB7.jpg?v=1749041322&amp;width=1" data-pr-img2="" class="t4s-product-hover-img lazyloadt4s" loading="lazy" src="data:image/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==" data-widths="[100,200,360,400,500,600,700,800,900,1000]" data-optimumx="2" data-sizes="auto" alt="AD Bounce- Natural colour">
+    <noscript><img class="t4s-product-main-img" loading="lazy" src="//shooz.pk/cdn/shop/files/4A014F07-B02D-4825-9770-477AD78DD55D.jpg?v=1749041322&width=600"  alt="AD Bounce- Natural colour"></noscript>
+</div><div data-product-badge="" data-sort="sale,new,soldout,preOrder,custom" class="t4s-product-badge"><span data-badge-sale="" class="t4s-badge-item t4s-badge-sale">-18%</span></div>
+      <div class="t4s-product-btns">
+         <a href="/collections/new-arrivals/products/ad-bounce-natural-colour" data-tooltip="" data-id="8110166311047" rel="nofollow" class="t4s-pr-item-btn t4s-pr-quickview t4s-tooltip-actived" data-action-quickview=""><span class="t4s-svg-pr-icon"><svg viewBox="0 0 24 24"><use xlink:href="#t4s-icon-qv"></use></svg></span><span class="t4s-text-pr">Quick view</span></a>
+         <a href="/collections/new-arrivals/products/ad-bounce-natural-colour" data-atc-selector="" data-tooltip="" data-id="8110166311047" rel="nofollow" class="t4s-pr-item-btn t4s-pr-addtocart t4s-tooltip-actived" dat-qty="1" data-action-quickshop=""><span class="t4s-svg-pr-icon"><svg viewBox="0 0 24 24"><use xlink:href="#t4s-icon-atc"></use></svg></span><span class="t4s-text-pr">Quick Shop</span></a>
+      </div>
+      <div class="t4s-product-btns2"><a href="/collections/new-arrivals/products/ad-bounce-natural-colour" data-tooltip="right" data-id="8110166311047" rel="nofollow" class="t4s-pr-item-btn t4s-pr-wishlist t4s-tooltip-actived" data-action-wishlist=""><span class="t4s-svg-pr-icon"><svg viewBox="0 0 24 24"><use xlink:href="#t4s-icon-wis"></use></svg></span><span class="t4s-text-pr">Add to Wishlist</span></a>
+      </div><div class="t4s-product-sizes"><span class="t4s-truncate t4s-d-block t4s-w-100"><span>41</span><span>42</span><span>43</span><span>44</span><span>45</span></span></div><a data-pr-href="" class="t4s-full-width-link is--href-replaced" href="/collections/new-arrivals/products/ad-bounce-natural-colour"></a>
+    </div>
+    <div class="t4s-product-info">
+      <div class="t4s-product-info__inner"><h3 class="t4s-product-title"><a data-pr-href="" href="/collections/new-arrivals/products/ad-bounce-natural-colour" class="is--href-replaced">AD Bounce- Natural colour</a></h3><div class="t4s-product-price" data-pr-price="" data-product-price=""><del>Rs.8,500.00</del><ins>Rs.6,999.00</ins></div></div>
+    </div>
+  </div></div><div class="t4s-product t4s-pr-grid t4s-pr-style1 t4s-pr-8110165131399 t4s-col-item is-t4s-pr-created" data-product-options="{ &quot;id&quot;:&quot;8110165131399&quot;,&quot;cusQty&quot;:&quot;1&quot;,&quot;available&quot;:true, &quot;handle&quot;:&quot;skechers-slip-inns-d-lux-dk-brown&quot;, &quot;isDefault&quot;: false, &quot;VariantFirstID&quot;: 42761548464263, &quot;customBadge&quot;:null, &quot;customBadgeHandle&quot;:null,&quot;dateStart&quot;:1749041079, &quot;compare_at_price&quot;:1099900,&quot;price&quot;:799900, &quot;isPreoder&quot;:false,&quot;isExternal&quot;:false,&quot;image2&quot;:&quot;\/\/shooz.pk\/cdn\/shop\/files\/7ED4960B-4EA6-4F73-8586-C4DFB75064EA.jpg?v=1749041130\u0026width=1&quot;,&quot;alt&quot;:&quot;Skechers Slip inns-D’Lux-Dk brown&quot;,&quot;isGrouped&quot;:false,&quot;maxQuantity&quot;:9999 }">
+  <div class="t4s-product-wrapper hdt-reveal--offscreen" timeline="" hdt-reveal="slide-in" observed="">
+    <div data-cacl-slide="" class="t4s-product-inner t4s-pr t4s-oh"><div class="t4s-product-img t4s_ratio is-show-img2" data-style="--aspect-ratioapt: 0.75">
+    <img data-pr-img="" class="t4s-product-main-img lazyloadt4s" loading="lazy" src="data:image/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==" data-src="//shooz.pk/cdn/shop/files/89CB2DBB-6C46-4D3A-9EFB-02FC18BCB200.jpg?v=1749041130&amp;width=1" data-widths="[100,200,330,400,500,600,700,800,900]" data-optimumx="2" data-sizes="auto" width="3024" height="4032" alt="Skechers Slip inns-D’Lux-Dk brown">
+    <span class="lazyloadt4s-loader"></span>
+    <img data-sizes-scale="1.1" data-src="//shooz.pk/cdn/shop/files/7ED4960B-4EA6-4F73-8586-C4DFB75064EA.jpg?v=1749041130&amp;width=1" data-pr-img2="" class="t4s-product-hover-img lazyloadt4s" loading="lazy" src="data:image/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==" data-widths="[100,200,360,400,500,600,700,800,900,1000]" data-optimumx="2" data-sizes="auto" alt="Skechers Slip inns-D’Lux-Dk brown">
+    <noscript><img class="t4s-product-main-img" loading="lazy" src="//shooz.pk/cdn/shop/files/89CB2DBB-6C46-4D3A-9EFB-02FC18BCB200.jpg?v=1749041130&width=600"  alt="Skechers Slip inns-D’Lux-Dk brown"></noscript>
+</div><div data-product-badge="" data-sort="sale,new,soldout,preOrder,custom" class="t4s-product-badge"><span data-badge-sale="" class="t4s-badge-item t4s-badge-sale">-27%</span></div>
+      <div class="t4s-product-btns">
+         <a href="/collections/new-arrivals/products/skechers-slip-inns-d-lux-dk-brown" data-tooltip="" data-id="8110165131399" rel="nofollow" class="t4s-pr-item-btn t4s-pr-quickview t4s-tooltip-actived" data-action-quickview=""><span class="t4s-svg-pr-icon"><svg viewBox="0 0 24 24"><use xlink:href="#t4s-icon-qv"></use></svg></span><span class="t4s-text-pr">Quick view</span></a>
+         <a href="/collections/new-arrivals/products/skechers-slip-inns-d-lux-dk-brown" data-atc-selector="" data-tooltip="" data-id="8110165131399" rel="nofollow" class="t4s-pr-item-btn t4s-pr-addtocart t4s-tooltip-actived" dat-qty="1" data-action-quickshop=""><span class="t4s-svg-pr-icon"><svg viewBox="0 0 24 24"><use xlink:href="#t4s-icon-atc"></use></svg></span><span class="t4s-text-pr">Quick Shop</span></a>
+      </div>
+      <div class="t4s-product-btns2"><a href="/collections/new-arrivals/products/skechers-slip-inns-d-lux-dk-brown" data-tooltip="right" data-id="8110165131399" rel="nofollow" class="t4s-pr-item-btn t4s-pr-wishlist t4s-tooltip-actived" data-action-wishlist=""><span class="t4s-svg-pr-icon"><svg viewBox="0 0 24 24"><use xlink:href="#t4s-icon-wis"></use></svg></span><span class="t4s-text-pr">Add to Wishlist</span></a>
+      </div><div class="t4s-product-sizes"><span class="t4s-truncate t4s-d-block t4s-w-100"><span>40</span><span>41</span><span>42</span><span>43</span><span>44</span><span>45</span></span></div><a data-pr-href="" class="t4s-full-width-link is--href-replaced" href="/collections/new-arrivals/products/skechers-slip-inns-d-lux-dk-brown"></a>
+    </div>
+    <div class="t4s-product-info">
+      <div class="t4s-product-info__inner"><h3 class="t4s-product-title"><a data-pr-href="" href="/collections/new-arrivals/products/skechers-slip-inns-d-lux-dk-brown" class="is--href-replaced">Skechers Slip inns-D’Lux-Dk brown</a></h3><div class="t4s-product-price" data-pr-price="" data-product-price=""><del>Rs.10,999.00</del><ins>Rs.7,999.00</ins></div></div>
+    </div>
+  </div></div><div class="t4s-product t4s-pr-grid t4s-pr-style1 t4s-pr-8106584211591 t4s-col-item is-t4s-pr-created" data-product-options="{ &quot;id&quot;:&quot;8106584211591&quot;,&quot;cusQty&quot;:&quot;1&quot;,&quot;available&quot;:true, &quot;handle&quot;:&quot;asics-gel-kayano-31-fiery-grey-red-dot-perfect&quot;, &quot;isDefault&quot;: false, &quot;VariantFirstID&quot;: 42736833069191, &quot;customBadge&quot;:null, &quot;customBadgeHandle&quot;:null,&quot;dateStart&quot;:1748683867, &quot;compare_at_price&quot;:2500000,&quot;price&quot;:1499900, &quot;isPreoder&quot;:false,&quot;isExternal&quot;:false,&quot;image2&quot;:&quot;\/\/shooz.pk\/cdn\/shop\/files\/43BA99FA-4CAF-4D9B-8223-D7BF5DB8501D.jpg?v=1748691244\u0026width=1&quot;,&quot;alt&quot;:&quot;Asics Gel-Kayano 31 Fiery Grey Red (Dot perfect)&quot;,&quot;isGrouped&quot;:false,&quot;maxQuantity&quot;:9999 }">
+  <div class="t4s-product-wrapper hdt-reveal--offscreen" timeline="" hdt-reveal="slide-in" observed="">
+    <div data-cacl-slide="" class="t4s-product-inner t4s-pr t4s-oh"><div class="t4s-product-img t4s_ratio is-show-img2" data-style="--aspect-ratioapt: 1.0">
+    <img data-pr-img="" class="t4s-product-main-img lazyloadt4s" loading="lazy" src="data:image/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==" data-src="//shooz.pk/cdn/shop/files/38E5A37A-18CA-4285-8DD1-9B472CCA8489.jpg?v=1748683885&amp;width=1" data-widths="[100,200,330,400,500,600,700,800,900]" data-optimumx="2" data-sizes="auto" width="2048" height="2048" alt="Asics Gel-Kayano 31 Fiery Grey Red (Dot perfect)">
+    <span class="lazyloadt4s-loader"></span>
+    <img data-sizes-scale="1.1" data-src="//shooz.pk/cdn/shop/files/43BA99FA-4CAF-4D9B-8223-D7BF5DB8501D.jpg?v=1748691244&amp;width=1" data-pr-img2="" class="t4s-product-hover-img lazyloadt4s" loading="lazy" src="data:image/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==" data-widths="[100,200,360,400,500,600,700,800,900,1000]" data-optimumx="2" data-sizes="auto" alt="Asics Gel-Kayano 31 Fiery Grey Red (Dot perfect)">
+    <noscript><img class="t4s-product-main-img" loading="lazy" src="//shooz.pk/cdn/shop/files/38E5A37A-18CA-4285-8DD1-9B472CCA8489.jpg?v=1748683885&width=600"  alt="Asics Gel-Kayano 31 Fiery Grey Red (Dot perfect)"></noscript>
+</div><div data-product-badge="" data-sort="sale,new,soldout,preOrder,custom" class="t4s-product-badge"><span data-badge-sale="" class="t4s-badge-item t4s-badge-sale">-40%</span></div>
+      <div class="t4s-product-btns">
+         <a href="/collections/new-arrivals/products/asics-gel-kayano-31-fiery-grey-red-dot-perfect" data-tooltip="" data-id="8106584211591" rel="nofollow" class="t4s-pr-item-btn t4s-pr-quickview t4s-tooltip-actived" data-action-quickview=""><span class="t4s-svg-pr-icon"><svg viewBox="0 0 24 24"><use xlink:href="#t4s-icon-qv"></use></svg></span><span class="t4s-text-pr">Quick view</span></a>
+         <a href="/collections/new-arrivals/products/asics-gel-kayano-31-fiery-grey-red-dot-perfect" data-atc-selector="" data-tooltip="" data-id="8106584211591" rel="nofollow" class="t4s-pr-item-btn t4s-pr-addtocart t4s-tooltip-actived" dat-qty="1" data-action-quickshop=""><span class="t4s-svg-pr-icon"><svg viewBox="0 0 24 24"><use xlink:href="#t4s-icon-atc"></use></svg></span><span class="t4s-text-pr">Quick Shop</span></a>
+      </div>
+      <div class="t4s-product-btns2"><a href="/collections/new-arrivals/products/asics-gel-kayano-31-fiery-grey-red-dot-perfect" data-tooltip="right" data-id="8106584211591" rel="nofollow" class="t4s-pr-item-btn t4s-pr-wishlist t4s-tooltip-actived" data-action-wishlist=""><span class="t4s-svg-pr-icon"><svg viewBox="0 0 24 24"><use xlink:href="#t4s-icon-wis"></use></svg></span><span class="t4s-text-pr">Add to Wishlist</span></a>
+      </div><div class="t4s-product-sizes"><span class="t4s-truncate t4s-d-block t4s-w-100"><span>40</span><span>41</span><span>42</span><span>43</span><span>44</span><span>45</span></span></div><a data-pr-href="" class="t4s-full-width-link is--href-replaced" href="/collections/new-arrivals/products/asics-gel-kayano-31-fiery-grey-red-dot-perfect"></a>
+    </div>
+    <div class="t4s-product-info">
+      <div class="t4s-product-info__inner"><h3 class="t4s-product-title"><a data-pr-href="" href="/collections/new-arrivals/products/asics-gel-kayano-31-fiery-grey-red-dot-perfect" class="is--href-replaced">Asics Gel-Kayano 31 Fiery Grey Red (Dot perfect)</a></h3><div class="t4s-product-price" data-pr-price="" data-product-price=""><del>Rs.25,000.00</del><ins>Rs.14,999.00</ins></div></div>
+    </div>
+  </div></div><div class="t4s-product t4s-pr-grid t4s-pr-style1 t4s-pr-8106580181127 t4s-col-item is-t4s-pr-created" data-product-options="{ &quot;id&quot;:&quot;8106580181127&quot;,&quot;cusQty&quot;:&quot;1&quot;,&quot;available&quot;:true, &quot;handle&quot;:&quot;asics-gel-kayano-31-digital-aqua-dot-perfect&quot;, &quot;isDefault&quot;: false, &quot;VariantFirstID&quot;: 42736829038727, &quot;customBadge&quot;:null, &quot;customBadgeHandle&quot;:null,&quot;dateStart&quot;:1748683763, &quot;compare_at_price&quot;:2500000,&quot;price&quot;:1499900, &quot;isPreoder&quot;:false,&quot;isExternal&quot;:false,&quot;image2&quot;:&quot;\/\/shooz.pk\/cdn\/shop\/files\/56C78A6C-172D-4231-B9FC-D93CCE65A73F.jpg?v=1748691383\u0026width=1&quot;,&quot;alt&quot;:&quot;Asics Gel-Kayano 31 Digital Aqua (Dot perfect)&quot;,&quot;isGrouped&quot;:false,&quot;maxQuantity&quot;:9999 }">
+  <div class="t4s-product-wrapper hdt-reveal--offscreen" timeline="" hdt-reveal="slide-in" observed="">
+    <div data-cacl-slide="" class="t4s-product-inner t4s-pr t4s-oh"><div class="t4s-product-img t4s_ratio is-show-img2" data-style="--aspect-ratioapt: 1.0">
+    <img data-pr-img="" class="t4s-product-main-img lazyloadt4s" loading="lazy" src="data:image/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==" data-src="//shooz.pk/cdn/shop/files/9C27BE93-AF34-44FF-A98B-1756C8C45EF4.jpg?v=1748683778&amp;width=1" data-widths="[100,200,330,400,500,600,700,800,900]" data-optimumx="2" data-sizes="auto" width="2048" height="2048" alt="Asics Gel-Kayano 31 Digital Aqua (Dot perfect)">
+    <span class="lazyloadt4s-loader"></span>
+    <img data-sizes-scale="1.1" data-src="//shooz.pk/cdn/shop/files/56C78A6C-172D-4231-B9FC-D93CCE65A73F.jpg?v=1748691383&amp;width=1" data-pr-img2="" class="t4s-product-hover-img lazyloadt4s" loading="lazy" src="data:image/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==" data-widths="[100,200,360,400,500,600,700,800,900,1000]" data-optimumx="2" data-sizes="auto" alt="Asics Gel-Kayano 31 Digital Aqua (Dot perfect)">
+    <noscript><img class="t4s-product-main-img" loading="lazy" src="//shooz.pk/cdn/shop/files/9C27BE93-AF34-44FF-A98B-1756C8C45EF4.jpg?v=1748683778&width=600"  alt="Asics Gel-Kayano 31 Digital Aqua (Dot perfect)"></noscript>
+</div><div data-product-badge="" data-sort="sale,new,soldout,preOrder,custom" class="t4s-product-badge"><span data-badge-sale="" class="t4s-badge-item t4s-badge-sale">-40%</span></div>
+      <div class="t4s-product-btns">
+         <a href="/collections/new-arrivals/products/asics-gel-kayano-31-digital-aqua-dot-perfect" data-tooltip="" data-id="8106580181127" rel="nofollow" class="t4s-pr-item-btn t4s-pr-quickview t4s-tooltip-actived" data-action-quickview=""><span class="t4s-svg-pr-icon"><svg viewBox="0 0 24 24"><use xlink:href="#t4s-icon-qv"></use></svg></span><span class="t4s-text-pr">Quick view</span></a>
+         <a href="/collections/new-arrivals/products/asics-gel-kayano-31-digital-aqua-dot-perfect" data-atc-selector="" data-tooltip="" data-id="8106580181127" rel="nofollow" class="t4s-pr-item-btn t4s-pr-addtocart t4s-tooltip-actived" dat-qty="1" data-action-quickshop=""><span class="t4s-svg-pr-icon"><svg viewBox="0 0 24 24"><use xlink:href="#t4s-icon-atc"></use></svg></span><span class="t4s-text-pr">Quick Shop</span></a>
+      </div>
+      <div class="t4s-product-btns2"><a href="/collections/new-arrivals/products/asics-gel-kayano-31-digital-aqua-dot-perfect" data-tooltip="right" data-id="8106580181127" rel="nofollow" class="t4s-pr-item-btn t4s-pr-wishlist t4s-tooltip-actived" data-action-wishlist=""><span class="t4s-svg-pr-icon"><svg viewBox="0 0 24 24"><use xlink:href="#t4s-icon-wis"></use></svg></span><span class="t4s-text-pr">Add to Wishlist</span></a>
+      </div><div class="t4s-product-sizes"><span class="t4s-truncate t4s-d-block t4s-w-100"><span>40</span><span>41</span><span>42</span><span>43</span><span>44</span><span>45</span></span></div><a data-pr-href="" class="t4s-full-width-link is--href-replaced" href="/collections/new-arrivals/products/asics-gel-kayano-31-digital-aqua-dot-perfect"></a>
+    </div>
+    <div class="t4s-product-info">
+      <div class="t4s-product-info__inner"><h3 class="t4s-product-title"><a data-pr-href="" href="/collections/new-arrivals/products/asics-gel-kayano-31-digital-aqua-dot-perfect" class="is--href-replaced">Asics Gel-Kayano 31 Digital Aqua (Dot perfect)</a></h3><div class="t4s-product-price" data-pr-price="" data-product-price=""><del>Rs.25,000.00</del><ins>Rs.14,999.00</ins></div></div>
+    </div>
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+  <div class="t4s-product-featured t4s-product-media__without_thumbnails t4s-product-thumb-size__small t4s-section-inner t4s_nt_se_template--15903647760519__featured_product_ia9XNN t4s_nt_se_template--15903647760519__featured_product_ia9XNN t4s-container-wrap" style="--bg-color: ;--bg-gradient: ;--border-cl: ;--mg-top: ;--mg-right: auto;--mg-bottom: 50px;--mg-left:auto;--pd-top: ;--pd-right: ;--pd-bottom: ;--pd-left: ;--mgtb-top: ;--mgtb-right: auto;--mgtb-bottom: 50px;--mgtb-left: auto;--pdtb-top: ;--pdtb-right: ;--pdtb-bottom: ;--pdtb-left: ;--mgmb-top: ;--mgmb-right: auto;--mgmb-bottom: 30px;--mgmb-left: auto;--pdmb-top: ;--pdmb-right: ;--pdmb-bottom: ;--pdmb-left: ;"><div class="t4s-container"><div data-product-featured="{&quot;id&quot;:&quot;7591878099079&quot;, &quot;sectionId&quot;:&quot;template--15903647760519__featured_product_ia9XNN&quot;, &quot;disableSwatch&quot;:false, &quot;media&quot;: true,&quot;enableHistoryState&quot;: false, &quot;formID&quot;: &quot;#product-form-7591878099079template--15903647760519__featured_product_ia9XNN&quot;, &quot;removeSoldout&quot;:true, &quot;changeVariantByImg&quot;:true, &quot;isNoPick&quot;:false,&quot;hasSoldoutUnavailable&quot;:true,&quot;enable_zoom_click_mb&quot;:true,&quot;main_click&quot;:&quot;zoom&quot;,&quot;canMediaGroup&quot;:false,&quot;isGrouped&quot;:false,&quot;available&quot;:true, &quot;customBadge&quot;:null, &quot;customBadgeHandle&quot;:null,&quot;dateStart&quot;:1711462878, &quot;compare_at_price&quot;:900000,&quot;price&quot;:699900, &quot;isPreoder&quot;:false, &quot;showFirstMedia&quot;:false }" class="t4s-row t4s-row__product is-zoom-type__external initProducts__enabled is-zoom-enabled is--zoom_tp_external" data-t4s-zoom-main="" data-zoom-options="{&quot;type&quot;:&quot;external&quot;, &quot;magnify&quot;:2, &quot;touch&quot;:false, &quot;pr_type&quot;:&quot;1&quot;,&quot;isZoomPR&quot;: true}">
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+	   <span class="lazyloadt4s-loader"></span>
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+</div><div data-product-single-media-wrapper="" data-main-slide="" class="t4s-col-12 t4s-col-item t4s-product__media-item " data-media-id="23682211741831" data-nt-media-id="template--15903647760519__featured_product_ia9XNN-23682211741831" data-media-type="image" data-grname="" data-grpvl="" aria-hidden="true" style="position: absolute; left: 0px; transform: translateX(0%);">
+	<div data-t4s-gallery--open="" class="t4s_ratio t4s-product__media is-pswp-disable" data-style="--aspect-ratioapt:0.75;--mw-media:768px">
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+	   <img data-master="//shooz.pk/cdn/shop/files/WhatsAppImage2022-10-17at7.18.27PM_2.jpg?v=1711462910" class="lazyloadt4s t4s-lz--fadeIn" data-src="//shooz.pk/cdn/shop/files/WhatsAppImage2022-10-17at7.18.27PM_2.jpg?v=1711462910&amp;width=1" data-widths="[100,200,400,600,700,800,900,1000,1200,1400,1600]" data-optimumx="2" data-sizes="auto" src="data:image/svg+xml,%3Csvg%20viewBox%3D%220%200%20768%201024%22%20xmlns%3D%22http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%22%3E%3C%2Fsvg%3E" width="768" height="1024" alt="">
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+              <div data-product-single-badge="" data-sort="sale,new,soldout,preOrder,custom" class="t4s-single-product-badge lazyloadt4s t4s-pa t4s-pe-none t4s-op-0" data-rendert4s="css://shooz.pk/cdn/shop/t/7/assets/single-pr-badge.css?v=183430069088610268771716281117"><span data-badge-sale="" class="t4s-badge-item t4s-badge-sale">-22%</span></div><div data-t4s-group-btns="template--15903647760519__featured_product_ia9XNN" class="t4s-pr-group-btns t4s-pa t4s-op-0"><button type="button" class="t4s-pr__pswp-btn t4s-d-inline-flex" data-pswp-btn-triger="" data-pr-trigger-pswp="">
+            <span class="t4s-pr__icon-btn"><svg xmlns="http://www.w3.org/2000/svg" aria-hidden="true" focusable="false" role="presentation" viewBox="0 0 448 512" width="14"><path d="M416 176V86.63L246.6 256L416 425.4V336c0-8.844 7.156-16 16-16s16 7.156 16 16v128c0 8.844-7.156 16-16 16h-128c-8.844 0-16-7.156-16-16s7.156-16 16-16h89.38L224 278.6L54.63 448H144C152.8 448 160 455.2 160 464S152.8 480 144 480h-128C7.156 480 0 472.8 0 464v-128C0 327.2 7.156 320 16 320S32 327.2 32 336v89.38L201.4 256L32 86.63V176C32 184.8 24.84 192 16 192S0 184.8 0 176v-128C0 39.16 7.156 32 16 32h128C152.8 32 160 39.16 160 48S152.8 64 144 64H54.63L224 233.4L393.4 64H304C295.2 64 288 56.84 288 48S295.2 32 304 32h128C440.8 32 448 39.16 448 48v128C448 184.8 440.8 192 432 192S416 184.8 416 176z"></path></svg></span>
+            <span class="t4s-pr__text-btn">Click to enlarge</span>
+         </button></div></div></div></div>
+      <div data-t4s-zoom-info="" class="t4s-col-md-8 t4s-col-12 t4s-col-item t4s-product__info-wrapper t4s-pr">
+        <div id="product-zoom-template--15903647760519__featured_product_ia9XNN" class="t4s-product__zoom-wrapper"></div>
+        <div id="ProductInfo-template--template--15903647760519__featured_product_ia9XNN__main" class="t4s-product__info-container hdt-reveal--offscreen" timeline="" hdt-reveal="slide-in" observed=""><h1 class="t4s-product__title" style="--title-family:var(--font-family-1);--title-style:none;--title-size:16px;--title-weight:600;--title-line-height:1;--title-spacing:0px;--title-color:#222222;--title-color-hover:#56cfe1;"><a href="/products/af-1-all-white-dot-perfect">AF 1 all white( Dot perfect)</a></h1><div class="t4s-product__price-review" style="--price-size:22px;--price-weight:400;--price-color:#696969;--price-sale-color:#ec0101;">
+<div class="t4s-product-price" data-pr-price="" data-product-price="" data-saletype="0"><del>Rs.9,000.00</del> <ins>Rs.6,999.00</ins></div><a href="#t4s-tab-reviewtemplate--15903647760519__featured_product_ia9XNN" class="t4s-product__review t4s-d-inline-block"><!-- "snippets/judgeme_widgets.liquid" was not rendered, the associated app was uninstalled --></a></div><div class="t4s-product__policies t4s-rte" data-product-policies=""><a href="/policies/shipping-policy">Shipping</a> calculated at checkout.
+</div><div class="t4s-product-form__variants is-no-pick__false  is-remove-soldout-true is-btn-full-width__false is-btn-atc-txt-3 is-btn-ck-txt-3 is--fist-ratio-false" style=" --wishlist-color: #222222;--wishlist-hover-color: #56cfe1;--wishlist-active-color: #e81e1e;--compare-color: #222222;--compare-hover-color: #56cfe1;--compare-active-color: #222222;">
+  <div data-callbackvariant="" id="t4s-callBackVariantproduct-form-7591878099079template--15903647760519__featured_product_ia9XNN"><form method="post" action="/cart/add" id="product-form-7591878099079template--15903647760519__featured_product_ia9XNN" accept-charset="UTF-8" class="t4s-form__product has--form__swatch is--main-sticky" enctype="multipart/form-data" data-productid="7591878099079" novalidate="novalidate" data-type="add-to-cart-form" data-disable-swatch="false" data-gtm-form-interact-id="0"><input type="hidden" name="form_type" value="product"><input type="hidden" name="utf8" value="✓"><link href="//shooz.pk/cdn/shop/t/7/assets/swatch.css?v=166694846208156040211716281117" rel="stylesheet" type="text/css" media="all">
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+
+        <div class="t4s-swatch t4s-color-mode__color t4s-color-size__medium t4s-selector-mode__block"><div data-swatch-option="" data-id="0" class="t4s-swatch__option is-t4s-name__size">
+                <h4 class="t4s-swatch__title"><span>Size: <span data-current-value="" class="t4s-dib t4s-swatch__current">40</span></span></h4>
+                <div class="t4s-swatch__list"><div data-swatch-item="" class="t4s-swatch__item is--selected" data-value="40">40</div><div data-swatch-item="" class="t4s-swatch__item" data-value="41">41</div><div data-swatch-item="" class="t4s-swatch__item" data-value="42">42</div><div data-swatch-item="" class="t4s-swatch__item" data-value="43">43</div><div data-swatch-item="" class="t4s-swatch__item" data-value="44">44</div><div data-swatch-item="" class="t4s-swatch__item" data-value="45">45</div><div data-swatch-item="" class="t4s-swatch__item is--soldout" data-value="46">46</div></div>
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+<link href="//shooz.pk/cdn/shop/t/7/assets/section.css?v=19467530681101428381716281116" rel="stylesheet" type="text/css" media="all">
+<link href="//shooz.pk/cdn/shop/t/7/assets/content-position.css?v=17754329806987700181716281114" rel="stylesheet" type="text/css" media="all">
+<link href="//shooz.pk/cdn/shop/t/7/assets/banner.css?v=106039516019568213081716281114" rel="stylesheet" type="text/css" media="all">
+<link href="//shooz.pk/cdn/shop/t/7/assets/t4s-animation.css?v=109136992389157245751716281117" rel="stylesheet" media="all" onload="this.media='all'"><div class="t4s-section-inner t4s_nt_se_template--15903647760519__banner_XjYWRY t4s_se_template--15903647760519__banner_XjYWRY t4s-container-wrap " style="--bg-color: ;--bg-gradient: ;--border-cl: ;--mg-top: ;--mg-right: auto;--mg-bottom: 50px;--mg-left:auto;--pd-top: ;--pd-right: ;--pd-bottom: ;--pd-left: ;--mgtb-top: ;--mgtb-right: auto;--mgtb-bottom: 50px;--mgtb-left: auto;--pdtb-top: ;--pdtb-right: ;--pdtb-bottom: ;--pdtb-left: ;--mgmb-top: ;--mgmb-right: auto;--mgmb-bottom: 30px;--mgmb-left: auto;--pdmb-top: ;--pdmb-right: ;--pdmb-bottom: ;--pdmb-left: ;"><div class="t4s-container"><div class="t4s-banner-holder isotopet4s t4s_position_8 t4s_cover t4s-equal-height-false t4s-row t4s-gx-md-30 t4s-gy-md-30 t4s-gx-10 t4s-gy-10 isotopet4s-enabled" data-isotopet4s-js="{ &quot;itemSelector&quot;: &quot;.t4s-banner-wrap&quot;, &quot;layoutMode&quot;: &quot;packery&quot; }" style="position: relative; height: 498.75px;"><div class="t4s-col-item t4s-banner-wrap t4s-col-lg-12 t4s-col-md-12 t4s-col-12 bl-b_item_FpyBCr" style="position: absolute; left: 0px; top: 0px;">
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+          <div class="t4s-banner-inner hdt-reveal--offscreen" style="--bg-overlay:rgba(0, 0, 0, 0.0);" timeline="" hdt-reveal="slide-in" observed=""><div data-href="" data-target="_self" class="t4s-d-block t4s_ratio t4s_ratio_hasmb" style="--aspect-ratioapt: 2.6666666666666665;--aspect-ratioaptmb: 2.6666666666666665;"><img class="lazyloadt4s t4s-lz--fadeIn t4s-obj-eff t4s-d-md-none" data-src="//shooz.pk/cdn/shop/files/NAB_9158b699-6d59-4be9-b347-8ce74accf100.gif?v=1716306498&amp;width=1" data-widths="[100,200,400,600,700,800,900,1000,1200,1400,1600]" data-optimumx="2" data-sizes="auto" src="data:image/svg+xml,%3Csvg%20viewBox%3D%220%200%20800%20300%22%20xmlns%3D%22http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%22%3E%3C%2Fsvg%3E" width="800" height="300" alt="">
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+                  <img class="lazyloadt4s t4s-lz--fadeIn t4s-obj-eff t4s-d-none t4s-d-md-block" data-src="//shooz.pk/cdn/shop/files/NAB_9158b699-6d59-4be9-b347-8ce74accf100.gif?v=1716306498&amp;width=1" data-widths="[100,200,400,600,700,800,900,1000,1200,1400,1600]" data-optimumx="2" data-sizes="auto" src="data:image/svg+xml,%3Csvg%20viewBox%3D%220%200%20800%20300%22%20xmlns%3D%22http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%22%3E%3C%2Fsvg%3E" width="800" height="300" alt="">
+                  <span class="lazyloadt4s-loader is-bg-img t4s-d-none t4s-d-md-block" style="background: url(//shooz.pk/cdn/shop/files/NAB_9158b699-6d59-4be9-b347-8ce74accf100.gif?v=1716306498&amp;width=1)"></span></div>
+            <div class="t4s-banner-content t4s-content-position t4s-pa t4s-auto t4s-pe-none t4s-text-md-center t4s-text-center t4s-bg-content-false t4s-br-content-false t4s-br-style-solid" style="--time-animation:1s;--p-left:50%;--p-hx:-50%;--p-top:50%;--p-vy:-50%; --p-left-mb:50%;--p-hx-mb:-50%;--p-top-mb:50%;--p-vy-mb:-50%;"></div>
+          </div>
+        </div>
+      </div></div></div></div></section><section id="shopify-section-template--15903647760519__tabs_collection_DrBV7k" class="shopify-section t4s-section t4s-section-all t4s_bk_flickity t4s_tp_cdt t4s-tabs-collection t4s_tp_tab2"><!-- sections/tabs-collection.liquid --><link href="//shooz.pk/cdn/shop/t/7/assets/section.css?v=19467530681101428381716281116" rel="stylesheet" type="text/css" media="all">
+<link href="//shooz.pk/cdn/shop/t/7/assets/top-head.css?v=37867058972263844251716281118" rel="stylesheet" type="text/css" media="all">
+<link href="//shooz.pk/cdn/shop/t/7/assets/tabs.css?v=10708617881965085401716281117" rel="stylesheet" type="text/css" media="all">
+<link href="//shooz.pk/cdn/shop/t/7/assets/collection-products.css?v=154004616046841301881716281114" rel="stylesheet" type="text/css" media="all">
+<link href="//shooz.pk/cdn/shop/t/7/assets/slider-settings.css?v=83879533311557014651716281117" rel="stylesheet" type="text/css" media="all">
+<link href="//shooz.pk/cdn/shop/t/7/assets/pre_flickityt4s.min.css?v=80452565481494416591716281116" rel="stylesheet" type="text/css" media="all">
+<link href="//shooz.pk/cdn/shop/t/7/assets/loading.css?v=142436169935756752221716281116" rel="stylesheet" media="all" onload="this.media='all'"><div class="t4s-section-inner t4s_nt_se_template--15903647760519__tabs_collection_DrBV7k t4s-container-wrap" style="--bg-color: ;--bg-gradient: ;--border-cl: ;--mg-top: ;--mg-right: auto;--mg-bottom: 50px;--mg-left:auto;--pd-top: ;--pd-right: ;--pd-bottom: ;--pd-left: ;--mgtb-top: ;--mgtb-right: auto;--mgtb-bottom: 50px;--mgtb-left: auto;--pdtb-top: ;--pdtb-right: ;--pdtb-bottom: ;--pdtb-left: ;--mgmb-top: ;--mgmb-right: auto;--mgmb-bottom: 30px;--mgmb-left: auto;--pdmb-top: ;--pdmb-right: ;--pdmb-bottom: ;--pdmb-left: ;"><div class="t4s-container"><div class=" t4s-tabs-se tabs-layout-border t4s-tabs-border t4s-item-rounded-true t4s-border-solid" style="--border:solid;--item-cl:#222222;--item-bg:;--item-cl-active:#b26b53;--item-bg-active:#b26b53;--space-between:30px;--mgb:30px;">
+      
+<link href="//shooz.pk/cdn/shop/t/7/assets/top-head.css?v=37867058972263844251716281118" rel="stylesheet" type="text/css" media="all">
+	<div timeline="" hdt-reveal="slide-in" class="t4s-top-heading t4s_des_title_2 t4s-text-center hdt-reveal--offscreen" style="--heading-height: px;--tophead_mb: 30px;" observed=""><div class="heading-testimonials-star ">
+		
+		<h3 class="t4s-section-title t4s-title"><span>Brands</span></h3></div></div>
+      <div class="t4s-tabs t4s-type-tabs t4s-text-center t4s-tabs-simple-enabled" data-t4s-tabs2="">
+        
+          <ul data-t4s-tab-ul2="" class="t4s-tabs-ul t4s-align-items-center t4s-justify-content-center t4s-flicky-slider t4s-slider-btn-style-simple t4s-slider-btn-none t4s-slider-btn-small t4s-slider-btn-vi-always flickityt4s flickityt4s-enabled t4s-enabled flickityt4s_prev_disable flickityt4s_next_disable" data-flickityt4s-js="{&quot;isSimple&quot;: true,&quot;freeScroll&quot;: true, &quot;arrowIcon&quot;:&quot;1&quot;, &quot;imagesLoaded&quot;: 0,&quot;adaptiveHeight&quot;: 0, &quot;contain&quot;: 1, &quot;groupCells&quot;: &quot;100%&quot;, &quot;dragThreshold&quot; : 5, &quot;minWidthLG&quot;: 992, &quot;cellAlignLG&quot;:&quot;center&quot;, &quot;cellAlign&quot;:&quot;center&quot;, &quot;wrapAround&quot;: false,&quot;prevNextButtons&quot;: true,&quot;percentPosition&quot;: 0,&quot;pageDots&quot;: false, &quot;pauseAutoPlayOnHover&quot; : true }" tabindex="0"><div class="flickityt4s-viewport" style="height: 40px; touch-action: pan-y;"><div class="flickityt4s-slider" style="left: 0px; transform: translateX(297px);"><li class="t4s-tab-item t4s-d-inline-flex is-selected" style="position: absolute; left: 0px; transform: translateX(0px);"><a id="b_tab_item_qCKKie" href="#t4s-tab_item_qCKKie" rel="nofollow" data-t4s-tab-item="" data-no-instant="" class="t4s-active">
+              <span>
+                
+                <span class="t4s-text-title">Premiums</span>
+              </span>
+            </a></li><li class="t4s-tab-item t4s-d-inline-flex is-selected" style="position: absolute; left: 0px; transform: translateX(154px);"><a id="b_tab_item_Mw9qgk" href="#t4s-tab_item_Mw9qgk" rel="nofollow" data-t4s-tab-item="" data-no-instant="">
+              <span>
+                
+                <span class="t4s-text-title">Economical Kicks</span>
+              </span>
+            </a></li><li class="t4s-tab-item t4s-d-inline-flex is-selected" style="position: absolute; left: 0px; transform: translateX(358px);"><a id="b_tab_item_Qixt4w" href="#t4s-tab_item_Qixt4w" rel="nofollow" data-t4s-tab-item="" data-no-instant="">
+              <span>
+                
+                <span class="t4s-text-title">On Sale</span>
+              </span>
+            </a></li><li class="t4s-tab-item t4s-d-inline-flex is-selected" style="position: absolute; left: 0px; transform: translateX(494px);"><a id="b_tab_item_3Btwj8" href="#t4s-tab_item_3Btwj8" rel="nofollow" data-t4s-tab-item="" data-no-instant="">
+              <span>
+                
+                <span class="t4s-text-title">Shooz Exclusive</span>
+              </span>
+            </a></li></div></div><button class="flickityt4s-button flickityt4s-prev-next-button previous" type="button" disabled="" aria-label="Previous"><svg class="flickityt4s-button-icon" viewBox="0 0 100 100"><path d="M 10,50 L 60,100 L 70,90 L 30,50  L 70,10 L 60,0 Z" class="arrow"></path></svg></button><button class="flickityt4s-button flickityt4s-prev-next-button next" type="button" disabled="" aria-label="Next"><svg class="flickityt4s-button-icon" viewBox="0 0 100 100"><path d="M 10,50 L 60,100 L 70,90 L 30,50  L 70,10 L 60,0 Z" class="arrow" transform="translate(100, 100) rotate(180) "></path></svg></button></ul>
+        
+        <div class="t4s-pr t4s-tab-contents2"><div id="t4s-tab_item_qCKKie" class="t4s-tab-content2 t4s-active lazyloadt4s" data-t4s-tab-content="" data-render-lazy-component=""><div data-not-main="" data-ntajax-options="{&quot;id&quot;:&quot;template--15903647760519__tabs_collection_DrBV7k&quot;,&quot;type&quot;:&quot;AjaxDefault&quot;,&quot;isProduct&quot;:true,&quot;view&quot;:&quot;&quot;}" class="tabs-content-wrap is--enabled"><link href="//shooz.pk/cdn/shop/t/7/assets/button-style.css?v=14410007395220421991716281114" rel="stylesheet" type="text/css" media="all">
+  <link href="//shooz.pk/cdn/shop/t/7/assets/custom-effect.css?v=68323854132956845141716281115" rel="stylesheet" media="all" onload="this.media='all'">
+  <div data-collection-url="/collections/premium-kicks-1" data-contentlm-replace="" class="t4s_box_pr_grid t4s-products t4s-text-start t4s_ratio1_1  t4s_position_8 t4s_cover t4s-row t4s-justify-content-center t4s-row-cols-lg-4 t4s-row-cols-md-2 t4s-row-cols-2 t4s-gx-md-30 t4s-gy-md-30 t4s-gx-10 t4s-gy-10"><div class="t4s-product t4s-pr-grid t4s-pr-style1 t4s-pr-8110166311047 t4s-col-item is-t4s-pr-created" data-product-options="{ &quot;id&quot;:&quot;8110166311047&quot;,&quot;cusQty&quot;:&quot;1&quot;,&quot;available&quot;:true, &quot;handle&quot;:&quot;ad-bounce-natural-colour&quot;, &quot;isDefault&quot;: false, &quot;VariantFirstID&quot;: 42761555116167, &quot;customBadge&quot;:null, &quot;customBadgeHandle&quot;:null,&quot;dateStart&quot;:1749041275, &quot;compare_at_price&quot;:850000,&quot;price&quot;:699900, &quot;isPreoder&quot;:false,&quot;isExternal&quot;:false,&quot;image2&quot;:&quot;\/\/shooz.pk\/cdn\/shop\/files\/AA6AC9EB-48A3-4757-8E25-E1EADBA8AAB7.jpg?v=1749041322\u0026width=1&quot;,&quot;alt&quot;:&quot;AD Bounce- Natural colour&quot;,&quot;isGrouped&quot;:false,&quot;maxQuantity&quot;:9999 }">
+  <div class="t4s-product-wrapper hdt-reveal--offscreen" timeline="" hdt-reveal="slide-in" observed="">
+    <div data-cacl-slide="" class="t4s-product-inner t4s-pr t4s-oh"><div class="t4s-product-img t4s_ratio is-show-img2" data-style="--aspect-ratioapt: 0.75">
+    <img data-pr-img="" class="t4s-product-main-img lazyloadt4s" loading="lazy" src="data:image/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==" data-src="//shooz.pk/cdn/shop/files/4A014F07-B02D-4825-9770-477AD78DD55D.jpg?v=1749041322&amp;width=1" data-widths="[100,200,330,400,500,600,700,800,900]" data-optimumx="2" data-sizes="auto" width="3024" height="4032" alt="AD Bounce- Natural colour">
+    <span class="lazyloadt4s-loader"></span>
+    <img data-sizes-scale="1.1" data-src="//shooz.pk/cdn/shop/files/AA6AC9EB-48A3-4757-8E25-E1EADBA8AAB7.jpg?v=1749041322&amp;width=1" data-pr-img2="" class="t4s-product-hover-img lazyloadt4s" loading="lazy" src="data:image/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==" data-widths="[100,200,360,400,500,600,700,800,900,1000]" data-optimumx="2" data-sizes="auto" alt="AD Bounce- Natural colour">
+    <noscript><img class="t4s-product-main-img" loading="lazy" src="//shooz.pk/cdn/shop/files/4A014F07-B02D-4825-9770-477AD78DD55D.jpg?v=1749041322&width=600"  alt="AD Bounce- Natural colour"></noscript>
+</div><div data-product-badge="" data-sort="sale,new,soldout,preOrder,custom" class="t4s-product-badge"><span data-badge-sale="" class="t4s-badge-item t4s-badge-sale">-18%</span></div>
+      <div class="t4s-product-btns">
+         <a href="/collections/premium-kicks-1/products/ad-bounce-natural-colour" data-tooltip="" data-id="8110166311047" rel="nofollow" class="t4s-pr-item-btn t4s-pr-quickview t4s-tooltip-actived" data-action-quickview=""><span class="t4s-svg-pr-icon"><svg viewBox="0 0 24 24"><use xlink:href="#t4s-icon-qv"></use></svg></span><span class="t4s-text-pr">Quick view</span></a>
+         <a href="/collections/premium-kicks-1/products/ad-bounce-natural-colour" data-atc-selector="" data-tooltip="" data-id="8110166311047" rel="nofollow" class="t4s-pr-item-btn t4s-pr-addtocart t4s-tooltip-actived" dat-qty="1" data-action-quickshop=""><span class="t4s-svg-pr-icon"><svg viewBox="0 0 24 24"><use xlink:href="#t4s-icon-atc"></use></svg></span><span class="t4s-text-pr">Quick Shop</span></a>
+      </div>
+      <div class="t4s-product-btns2"><a href="/collections/premium-kicks-1/products/ad-bounce-natural-colour" data-tooltip="right" data-id="8110166311047" rel="nofollow" class="t4s-pr-item-btn t4s-pr-wishlist t4s-tooltip-actived" data-action-wishlist=""><span class="t4s-svg-pr-icon"><svg viewBox="0 0 24 24"><use xlink:href="#t4s-icon-wis"></use></svg></span><span class="t4s-text-pr">Add to Wishlist</span></a>
+      </div><div class="t4s-product-sizes"><span class="t4s-truncate t4s-d-block t4s-w-100"><span>41</span><span>42</span><span>43</span><span>44</span><span>45</span></span></div><a data-pr-href="" class="t4s-full-width-link is--href-replaced" href="/collections/premium-kicks-1/products/ad-bounce-natural-colour"></a>
+    </div>
+    <div class="t4s-product-info">
+      <div class="t4s-product-info__inner"><h3 class="t4s-product-title"><a data-pr-href="" href="/collections/premium-kicks-1/products/ad-bounce-natural-colour" class="is--href-replaced">AD Bounce- Natural colour</a></h3><div class="t4s-product-price" data-pr-price="" data-product-price=""><del>Rs.8,500.00</del><ins>Rs.6,999.00</ins></div></div>
+    </div>
+  </div></div><div class="t4s-product t4s-pr-grid t4s-pr-style1 t4s-pr-8110165131399 t4s-col-item is-t4s-pr-created" data-product-options="{ &quot;id&quot;:&quot;8110165131399&quot;,&quot;cusQty&quot;:&quot;1&quot;,&quot;available&quot;:true, &quot;handle&quot;:&quot;skechers-slip-inns-d-lux-dk-brown&quot;, &quot;isDefault&quot;: false, &quot;VariantFirstID&quot;: 42761548464263, &quot;customBadge&quot;:null, &quot;customBadgeHandle&quot;:null,&quot;dateStart&quot;:1749041079, &quot;compare_at_price&quot;:1099900,&quot;price&quot;:799900, &quot;isPreoder&quot;:false,&quot;isExternal&quot;:false,&quot;image2&quot;:&quot;\/\/shooz.pk\/cdn\/shop\/files\/7ED4960B-4EA6-4F73-8586-C4DFB75064EA.jpg?v=1749041130\u0026width=1&quot;,&quot;alt&quot;:&quot;Skechers Slip inns-D’Lux-Dk brown&quot;,&quot;isGrouped&quot;:false,&quot;maxQuantity&quot;:9999 }">
+  <div class="t4s-product-wrapper hdt-reveal--offscreen" timeline="" hdt-reveal="slide-in" observed="">
+    <div data-cacl-slide="" class="t4s-product-inner t4s-pr t4s-oh"><div class="t4s-product-img t4s_ratio is-show-img2" data-style="--aspect-ratioapt: 0.75">
+    <img data-pr-img="" class="t4s-product-main-img lazyloadt4s" loading="lazy" src="data:image/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==" data-src="//shooz.pk/cdn/shop/files/89CB2DBB-6C46-4D3A-9EFB-02FC18BCB200.jpg?v=1749041130&amp;width=1" data-widths="[100,200,330,400,500,600,700,800,900]" data-optimumx="2" data-sizes="auto" width="3024" height="4032" alt="Skechers Slip inns-D’Lux-Dk brown">
+    <span class="lazyloadt4s-loader"></span>
+    <img data-sizes-scale="1.1" data-src="//shooz.pk/cdn/shop/files/7ED4960B-4EA6-4F73-8586-C4DFB75064EA.jpg?v=1749041130&amp;width=1" data-pr-img2="" class="t4s-product-hover-img lazyloadt4s" loading="lazy" src="data:image/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==" data-widths="[100,200,360,400,500,600,700,800,900,1000]" data-optimumx="2" data-sizes="auto" alt="Skechers Slip inns-D’Lux-Dk brown">
+    <noscript><img class="t4s-product-main-img" loading="lazy" src="//shooz.pk/cdn/shop/files/89CB2DBB-6C46-4D3A-9EFB-02FC18BCB200.jpg?v=1749041130&width=600"  alt="Skechers Slip inns-D’Lux-Dk brown"></noscript>
+</div><div data-product-badge="" data-sort="sale,new,soldout,preOrder,custom" class="t4s-product-badge"><span data-badge-sale="" class="t4s-badge-item t4s-badge-sale">-27%</span></div>
+      <div class="t4s-product-btns">
+         <a href="/collections/premium-kicks-1/products/skechers-slip-inns-d-lux-dk-brown" data-tooltip="" data-id="8110165131399" rel="nofollow" class="t4s-pr-item-btn t4s-pr-quickview t4s-tooltip-actived" data-action-quickview=""><span class="t4s-svg-pr-icon"><svg viewBox="0 0 24 24"><use xlink:href="#t4s-icon-qv"></use></svg></span><span class="t4s-text-pr">Quick view</span></a>
+         <a href="/collections/premium-kicks-1/products/skechers-slip-inns-d-lux-dk-brown" data-atc-selector="" data-tooltip="" data-id="8110165131399" rel="nofollow" class="t4s-pr-item-btn t4s-pr-addtocart t4s-tooltip-actived" dat-qty="1" data-action-quickshop=""><span class="t4s-svg-pr-icon"><svg viewBox="0 0 24 24"><use xlink:href="#t4s-icon-atc"></use></svg></span><span class="t4s-text-pr">Quick Shop</span></a>
+      </div>
+      <div class="t4s-product-btns2"><a href="/collections/premium-kicks-1/products/skechers-slip-inns-d-lux-dk-brown" data-tooltip="right" data-id="8110165131399" rel="nofollow" class="t4s-pr-item-btn t4s-pr-wishlist t4s-tooltip-actived" data-action-wishlist=""><span class="t4s-svg-pr-icon"><svg viewBox="0 0 24 24"><use xlink:href="#t4s-icon-wis"></use></svg></span><span class="t4s-text-pr">Add to Wishlist</span></a>
+      </div><div class="t4s-product-sizes"><span class="t4s-truncate t4s-d-block t4s-w-100"><span>40</span><span>41</span><span>42</span><span>43</span><span>44</span><span>45</span></span></div><a data-pr-href="" class="t4s-full-width-link is--href-replaced" href="/collections/premium-kicks-1/products/skechers-slip-inns-d-lux-dk-brown"></a>
+    </div>
+    <div class="t4s-product-info">
+      <div class="t4s-product-info__inner"><h3 class="t4s-product-title"><a data-pr-href="" href="/collections/premium-kicks-1/products/skechers-slip-inns-d-lux-dk-brown" class="is--href-replaced">Skechers Slip inns-D’Lux-Dk brown</a></h3><div class="t4s-product-price" data-pr-price="" data-product-price=""><del>Rs.10,999.00</del><ins>Rs.7,999.00</ins></div></div>
+    </div>
+  </div></div><div class="t4s-product t4s-pr-grid t4s-pr-style1 t4s-pr-8106584211591 t4s-col-item is-t4s-pr-created" data-product-options="{ &quot;id&quot;:&quot;8106584211591&quot;,&quot;cusQty&quot;:&quot;1&quot;,&quot;available&quot;:true, &quot;handle&quot;:&quot;asics-gel-kayano-31-fiery-grey-red-dot-perfect&quot;, &quot;isDefault&quot;: false, &quot;VariantFirstID&quot;: 42736833069191, &quot;customBadge&quot;:null, &quot;customBadgeHandle&quot;:null,&quot;dateStart&quot;:1748683867, &quot;compare_at_price&quot;:2500000,&quot;price&quot;:1499900, &quot;isPreoder&quot;:false,&quot;isExternal&quot;:false,&quot;image2&quot;:&quot;\/\/shooz.pk\/cdn\/shop\/files\/43BA99FA-4CAF-4D9B-8223-D7BF5DB8501D.jpg?v=1748691244\u0026width=1&quot;,&quot;alt&quot;:&quot;Asics Gel-Kayano 31 Fiery Grey Red (Dot perfect)&quot;,&quot;isGrouped&quot;:false,&quot;maxQuantity&quot;:9999 }">
+  <div class="t4s-product-wrapper hdt-reveal--offscreen" timeline="" hdt-reveal="slide-in" observed="">
+    <div data-cacl-slide="" class="t4s-product-inner t4s-pr t4s-oh"><div class="t4s-product-img t4s_ratio is-show-img2" data-style="--aspect-ratioapt: 1.0">
+    <img data-pr-img="" class="t4s-product-main-img lazyloadt4s" loading="lazy" src="data:image/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==" data-src="//shooz.pk/cdn/shop/files/38E5A37A-18CA-4285-8DD1-9B472CCA8489.jpg?v=1748683885&amp;width=1" data-widths="[100,200,330,400,500,600,700,800,900]" data-optimumx="2" data-sizes="auto" width="2048" height="2048" alt="Asics Gel-Kayano 31 Fiery Grey Red (Dot perfect)">
+    <span class="lazyloadt4s-loader"></span>
+    <img data-sizes-scale="1.1" data-src="//shooz.pk/cdn/shop/files/43BA99FA-4CAF-4D9B-8223-D7BF5DB8501D.jpg?v=1748691244&amp;width=1" data-pr-img2="" class="t4s-product-hover-img lazyloadt4s" loading="lazy" src="data:image/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==" data-widths="[100,200,360,400,500,600,700,800,900,1000]" data-optimumx="2" data-sizes="auto" alt="Asics Gel-Kayano 31 Fiery Grey Red (Dot perfect)">
+    <noscript><img class="t4s-product-main-img" loading="lazy" src="//shooz.pk/cdn/shop/files/38E5A37A-18CA-4285-8DD1-9B472CCA8489.jpg?v=1748683885&width=600"  alt="Asics Gel-Kayano 31 Fiery Grey Red (Dot perfect)"></noscript>
+</div><div data-product-badge="" data-sort="sale,new,soldout,preOrder,custom" class="t4s-product-badge"><span data-badge-sale="" class="t4s-badge-item t4s-badge-sale">-40%</span></div>
+      <div class="t4s-product-btns">
+         <a href="/collections/premium-kicks-1/products/asics-gel-kayano-31-fiery-grey-red-dot-perfect" data-tooltip="" data-id="8106584211591" rel="nofollow" class="t4s-pr-item-btn t4s-pr-quickview t4s-tooltip-actived" data-action-quickview=""><span class="t4s-svg-pr-icon"><svg viewBox="0 0 24 24"><use xlink:href="#t4s-icon-qv"></use></svg></span><span class="t4s-text-pr">Quick view</span></a>
+         <a href="/collections/premium-kicks-1/products/asics-gel-kayano-31-fiery-grey-red-dot-perfect" data-atc-selector="" data-tooltip="" data-id="8106584211591" rel="nofollow" class="t4s-pr-item-btn t4s-pr-addtocart t4s-tooltip-actived" dat-qty="1" data-action-quickshop=""><span class="t4s-svg-pr-icon"><svg viewBox="0 0 24 24"><use xlink:href="#t4s-icon-atc"></use></svg></span><span class="t4s-text-pr">Quick Shop</span></a>
+      </div>
+      <div class="t4s-product-btns2"><a href="/collections/premium-kicks-1/products/asics-gel-kayano-31-fiery-grey-red-dot-perfect" data-tooltip="right" data-id="8106584211591" rel="nofollow" class="t4s-pr-item-btn t4s-pr-wishlist t4s-tooltip-actived" data-action-wishlist=""><span class="t4s-svg-pr-icon"><svg viewBox="0 0 24 24"><use xlink:href="#t4s-icon-wis"></use></svg></span><span class="t4s-text-pr">Add to Wishlist</span></a>
+      </div><div class="t4s-product-sizes"><span class="t4s-truncate t4s-d-block t4s-w-100"><span>40</span><span>41</span><span>42</span><span>43</span><span>44</span><span>45</span></span></div><a data-pr-href="" class="t4s-full-width-link is--href-replaced" href="/collections/premium-kicks-1/products/asics-gel-kayano-31-fiery-grey-red-dot-perfect"></a>
+    </div>
+    <div class="t4s-product-info">
+      <div class="t4s-product-info__inner"><h3 class="t4s-product-title"><a data-pr-href="" href="/collections/premium-kicks-1/products/asics-gel-kayano-31-fiery-grey-red-dot-perfect" class="is--href-replaced">Asics Gel-Kayano 31 Fiery Grey Red (Dot perfect)</a></h3><div class="t4s-product-price" data-pr-price="" data-product-price=""><del>Rs.25,000.00</del><ins>Rs.14,999.00</ins></div></div>
+    </div>
+  </div></div><div class="t4s-product t4s-pr-grid t4s-pr-style1 t4s-pr-8106580181127 t4s-col-item is-t4s-pr-created" data-product-options="{ &quot;id&quot;:&quot;8106580181127&quot;,&quot;cusQty&quot;:&quot;1&quot;,&quot;available&quot;:true, &quot;handle&quot;:&quot;asics-gel-kayano-31-digital-aqua-dot-perfect&quot;, &quot;isDefault&quot;: false, &quot;VariantFirstID&quot;: 42736829038727, &quot;customBadge&quot;:null, &quot;customBadgeHandle&quot;:null,&quot;dateStart&quot;:1748683763, &quot;compare_at_price&quot;:2500000,&quot;price&quot;:1499900, &quot;isPreoder&quot;:false,&quot;isExternal&quot;:false,&quot;image2&quot;:&quot;\/\/shooz.pk\/cdn\/shop\/files\/56C78A6C-172D-4231-B9FC-D93CCE65A73F.jpg?v=1748691383\u0026width=1&quot;,&quot;alt&quot;:&quot;Asics Gel-Kayano 31 Digital Aqua (Dot perfect)&quot;,&quot;isGrouped&quot;:false,&quot;maxQuantity&quot;:9999 }">
+  <div class="t4s-product-wrapper hdt-reveal--offscreen" timeline="" hdt-reveal="slide-in" observed="">
+    <div data-cacl-slide="" class="t4s-product-inner t4s-pr t4s-oh"><div class="t4s-product-img t4s_ratio is-show-img2" data-style="--aspect-ratioapt: 1.0">
+    <img data-pr-img="" class="t4s-product-main-img lazyloadt4s" loading="lazy" src="data:image/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==" data-src="//shooz.pk/cdn/shop/files/9C27BE93-AF34-44FF-A98B-1756C8C45EF4.jpg?v=1748683778&amp;width=1" data-widths="[100,200,330,400,500,600,700,800,900]" data-optimumx="2" data-sizes="auto" width="2048" height="2048" alt="Asics Gel-Kayano 31 Digital Aqua (Dot perfect)">
+    <span class="lazyloadt4s-loader"></span>
+    <img data-sizes-scale="1.1" data-src="//shooz.pk/cdn/shop/files/56C78A6C-172D-4231-B9FC-D93CCE65A73F.jpg?v=1748691383&amp;width=1" data-pr-img2="" class="t4s-product-hover-img lazyloadt4s" loading="lazy" src="data:image/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==" data-widths="[100,200,360,400,500,600,700,800,900,1000]" data-optimumx="2" data-sizes="auto" alt="Asics Gel-Kayano 31 Digital Aqua (Dot perfect)">
+    <noscript><img class="t4s-product-main-img" loading="lazy" src="//shooz.pk/cdn/shop/files/9C27BE93-AF34-44FF-A98B-1756C8C45EF4.jpg?v=1748683778&width=600"  alt="Asics Gel-Kayano 31 Digital Aqua (Dot perfect)"></noscript>
+</div><div data-product-badge="" data-sort="sale,new,soldout,preOrder,custom" class="t4s-product-badge"><span data-badge-sale="" class="t4s-badge-item t4s-badge-sale">-40%</span></div>
+      <div class="t4s-product-btns">
+         <a href="/collections/premium-kicks-1/products/asics-gel-kayano-31-digital-aqua-dot-perfect" data-tooltip="" data-id="8106580181127" rel="nofollow" class="t4s-pr-item-btn t4s-pr-quickview t4s-tooltip-actived" data-action-quickview=""><span class="t4s-svg-pr-icon"><svg viewBox="0 0 24 24"><use xlink:href="#t4s-icon-qv"></use></svg></span><span class="t4s-text-pr">Quick view</span></a>
+         <a href="/collections/premium-kicks-1/products/asics-gel-kayano-31-digital-aqua-dot-perfect" data-atc-selector="" data-tooltip="" data-id="8106580181127" rel="nofollow" class="t4s-pr-item-btn t4s-pr-addtocart t4s-tooltip-actived" dat-qty="1" data-action-quickshop=""><span class="t4s-svg-pr-icon"><svg viewBox="0 0 24 24"><use xlink:href="#t4s-icon-atc"></use></svg></span><span class="t4s-text-pr">Quick Shop</span></a>
+      </div>
+      <div class="t4s-product-btns2"><a href="/collections/premium-kicks-1/products/asics-gel-kayano-31-digital-aqua-dot-perfect" data-tooltip="right" data-id="8106580181127" rel="nofollow" class="t4s-pr-item-btn t4s-pr-wishlist t4s-tooltip-actived" data-action-wishlist=""><span class="t4s-svg-pr-icon"><svg viewBox="0 0 24 24"><use xlink:href="#t4s-icon-wis"></use></svg></span><span class="t4s-text-pr">Add to Wishlist</span></a>
+      </div><div class="t4s-product-sizes"><span class="t4s-truncate t4s-d-block t4s-w-100"><span>40</span><span>41</span><span>42</span><span>43</span><span>44</span><span>45</span></span></div><a data-pr-href="" class="t4s-full-width-link is--href-replaced" href="/collections/premium-kicks-1/products/asics-gel-kayano-31-digital-aqua-dot-perfect"></a>
+    </div>
+    <div class="t4s-product-info">
+      <div class="t4s-product-info__inner"><h3 class="t4s-product-title"><a data-pr-href="" href="/collections/premium-kicks-1/products/asics-gel-kayano-31-digital-aqua-dot-perfect" class="is--href-replaced">Asics Gel-Kayano 31 Digital Aqua (Dot perfect)</a></h3><div class="t4s-product-price" data-pr-price="" data-product-price=""><del>Rs.25,000.00</del><ins>Rs.14,999.00</ins></div></div>
+    </div>
+  </div></div><div class="t4s-product t4s-pr-grid t4s-pr-style1 t4s-pr-8106575593607 t4s-col-item is-t4s-pr-created" data-product-options="{ &quot;id&quot;:&quot;8106575593607&quot;,&quot;cusQty&quot;:&quot;1&quot;,&quot;available&quot;:true, &quot;handle&quot;:&quot;asics-gel-kayano-31-piedmont-grey-dot-perfect&quot;, &quot;isDefault&quot;: false, &quot;VariantFirstID&quot;: 42736824549511, &quot;customBadge&quot;:null, &quot;customBadgeHandle&quot;:null,&quot;dateStart&quot;:1748683649, &quot;compare_at_price&quot;:2500000,&quot;price&quot;:1499900, &quot;isPreoder&quot;:false,&quot;isExternal&quot;:false,&quot;image2&quot;:&quot;\/\/shooz.pk\/cdn\/shop\/files\/1A7FFC2D-125D-47B5-90F6-DC96F4765D1A.jpg?v=1748691088\u0026width=1&quot;,&quot;alt&quot;:&quot;Asics Gel-Kayano 31 Piedmont grey (Dot perfect)&quot;,&quot;isGrouped&quot;:false,&quot;maxQuantity&quot;:9999 }">
+  <div class="t4s-product-wrapper hdt-reveal--offscreen" timeline="" hdt-reveal="slide-in" observed="">
+    <div data-cacl-slide="" class="t4s-product-inner t4s-pr t4s-oh"><div class="t4s-product-img t4s_ratio is-show-img2" data-style="--aspect-ratioapt: 1.0">
+    <img data-pr-img="" class="t4s-product-main-img lazyloadt4s" loading="lazy" src="data:image/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==" data-src="//shooz.pk/cdn/shop/files/7356DD38-5DA7-4C34-BC8B-4C453FE8DAD6.jpg?v=1748683701&amp;width=1" data-widths="[100,200,330,400,500,600,700,800,900]" data-optimumx="2" data-sizes="auto" width="2048" height="2048" alt="Asics Gel-Kayano 31 Piedmont grey (Dot perfect)">
+    <span class="lazyloadt4s-loader"></span>
+    <img data-sizes-scale="1.1" data-src="//shooz.pk/cdn/shop/files/1A7FFC2D-125D-47B5-90F6-DC96F4765D1A.jpg?v=1748691088&amp;width=1" data-pr-img2="" class="t4s-product-hover-img lazyloadt4s" loading="lazy" src="data:image/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==" data-widths="[100,200,360,400,500,600,700,800,900,1000]" data-optimumx="2" data-sizes="auto" alt="Asics Gel-Kayano 31 Piedmont grey (Dot perfect)">
+    <noscript><img class="t4s-product-main-img" loading="lazy" src="//shooz.pk/cdn/shop/files/7356DD38-5DA7-4C34-BC8B-4C453FE8DAD6.jpg?v=1748683701&width=600"  alt="Asics Gel-Kayano 31 Piedmont grey (Dot perfect)"></noscript>
+</div><div data-product-badge="" data-sort="sale,new,soldout,preOrder,custom" class="t4s-product-badge"><span data-badge-sale="" class="t4s-badge-item t4s-badge-sale">-40%</span></div>
+      <div class="t4s-product-btns">
+         <a href="/collections/premium-kicks-1/products/asics-gel-kayano-31-piedmont-grey-dot-perfect" data-tooltip="" data-id="8106575593607" rel="nofollow" class="t4s-pr-item-btn t4s-pr-quickview t4s-tooltip-actived" data-action-quickview=""><span class="t4s-svg-pr-icon"><svg viewBox="0 0 24 24"><use xlink:href="#t4s-icon-qv"></use></svg></span><span class="t4s-text-pr">Quick view</span></a>
+         <a href="/collections/premium-kicks-1/products/asics-gel-kayano-31-piedmont-grey-dot-perfect" data-atc-selector="" data-tooltip="" data-id="8106575593607" rel="nofollow" class="t4s-pr-item-btn t4s-pr-addtocart t4s-tooltip-actived" dat-qty="1" data-action-quickshop=""><span class="t4s-svg-pr-icon"><svg viewBox="0 0 24 24"><use xlink:href="#t4s-icon-atc"></use></svg></span><span class="t4s-text-pr">Quick Shop</span></a>
+      </div>
+      <div class="t4s-product-btns2"><a href="/collections/premium-kicks-1/products/asics-gel-kayano-31-piedmont-grey-dot-perfect" data-tooltip="right" data-id="8106575593607" rel="nofollow" class="t4s-pr-item-btn t4s-pr-wishlist t4s-tooltip-actived" data-action-wishlist=""><span class="t4s-svg-pr-icon"><svg viewBox="0 0 24 24"><use xlink:href="#t4s-icon-wis"></use></svg></span><span class="t4s-text-pr">Add to Wishlist</span></a>
+      </div><div class="t4s-product-sizes"><span class="t4s-truncate t4s-d-block t4s-w-100"><span>40</span><span>41</span><span>42</span><span>43</span><span>44</span><span>45</span></span></div><a data-pr-href="" class="t4s-full-width-link is--href-replaced" href="/collections/premium-kicks-1/products/asics-gel-kayano-31-piedmont-grey-dot-perfect"></a>
+    </div>
+    <div class="t4s-product-info">
+      <div class="t4s-product-info__inner"><h3 class="t4s-product-title"><a data-pr-href="" href="/collections/premium-kicks-1/products/asics-gel-kayano-31-piedmont-grey-dot-perfect" class="is--href-replaced">Asics Gel-Kayano 31 Piedmont grey (Dot perfect)</a></h3><div class="t4s-product-price" data-pr-price="" data-product-price=""><del>Rs.25,000.00</del><ins>Rs.14,999.00</ins></div></div>
+    </div>
+  </div></div><div class="t4s-product t4s-pr-grid t4s-pr-style1 t4s-pr-8105683353735 t4s-col-item is-t4s-pr-created" data-product-options="{ &quot;id&quot;:&quot;8105683353735&quot;,&quot;cusQty&quot;:&quot;1&quot;,&quot;available&quot;:true, &quot;handle&quot;:&quot;asics-novablast-4-minty-green&quot;, &quot;isDefault&quot;: false, &quot;VariantFirstID&quot;: 42724449222791, &quot;customBadge&quot;:null, &quot;customBadgeHandle&quot;:null,&quot;dateStart&quot;:1748610598, &quot;compare_at_price&quot;:1500000,&quot;price&quot;:999900, &quot;isPreoder&quot;:false,&quot;isExternal&quot;:false,&quot;image2&quot;:&quot;\/\/shooz.pk\/cdn\/shop\/files\/2C60C7C5-C270-4757-AA71-F20611B371F8.jpg?v=1748610661\u0026width=1&quot;,&quot;alt&quot;:&quot;Asics Novablast 4 Minty Green&quot;,&quot;isGrouped&quot;:false,&quot;maxQuantity&quot;:9999 }">
+  <div class="t4s-product-wrapper hdt-reveal--offscreen" timeline="" hdt-reveal="slide-in" observed="">
+    <div data-cacl-slide="" class="t4s-product-inner t4s-pr t4s-oh"><div class="t4s-product-img t4s_ratio is-show-img2" data-style="--aspect-ratioapt: 0.75">
+    <img data-pr-img="" class="t4s-product-main-img lazyloadt4s" loading="lazy" src="data:image/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==" data-src="//shooz.pk/cdn/shop/files/18B8215C-0693-4B87-81FB-DB74D11CC58C.jpg?v=1748610661&amp;width=1" data-widths="[100,200,330,400,500,600,700,800,900]" data-optimumx="2" data-sizes="auto" width="3024" height="4032" alt="Asics Novablast 4 Minty Green">
+    <span class="lazyloadt4s-loader"></span>
+    <img data-sizes-scale="1.1" data-src="//shooz.pk/cdn/shop/files/2C60C7C5-C270-4757-AA71-F20611B371F8.jpg?v=1748610661&amp;width=1" data-pr-img2="" class="t4s-product-hover-img lazyloadt4s" loading="lazy" src="data:image/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==" data-widths="[100,200,360,400,500,600,700,800,900,1000]" data-optimumx="2" data-sizes="auto" alt="Asics Novablast 4 Minty Green">
+    <noscript><img class="t4s-product-main-img" loading="lazy" src="//shooz.pk/cdn/shop/files/18B8215C-0693-4B87-81FB-DB74D11CC58C.jpg?v=1748610661&width=600"  alt="Asics Novablast 4 Minty Green"></noscript>
+</div><div data-product-badge="" data-sort="sale,new,soldout,preOrder,custom" class="t4s-product-badge"><span data-badge-sale="" class="t4s-badge-item t4s-badge-sale">-33%</span></div>
+      <div class="t4s-product-btns">
+         <a href="/collections/premium-kicks-1/products/asics-novablast-4-minty-green" data-tooltip="" data-id="8105683353735" rel="nofollow" class="t4s-pr-item-btn t4s-pr-quickview t4s-tooltip-actived" data-action-quickview=""><span class="t4s-svg-pr-icon"><svg viewBox="0 0 24 24"><use xlink:href="#t4s-icon-qv"></use></svg></span><span class="t4s-text-pr">Quick view</span></a>
+         <a href="/collections/premium-kicks-1/products/asics-novablast-4-minty-green" data-atc-selector="" data-tooltip="" data-id="8105683353735" rel="nofollow" class="t4s-pr-item-btn t4s-pr-addtocart t4s-tooltip-actived" dat-qty="1" data-action-quickshop=""><span class="t4s-svg-pr-icon"><svg viewBox="0 0 24 24"><use xlink:href="#t4s-icon-atc"></use></svg></span><span class="t4s-text-pr">Quick Shop</span></a>
+      </div>
+      <div class="t4s-product-btns2"><a href="/collections/premium-kicks-1/products/asics-novablast-4-minty-green" data-tooltip="right" data-id="8105683353735" rel="nofollow" class="t4s-pr-item-btn t4s-pr-wishlist t4s-tooltip-actived" data-action-wishlist=""><span class="t4s-svg-pr-icon"><svg viewBox="0 0 24 24"><use xlink:href="#t4s-icon-wis"></use></svg></span><span class="t4s-text-pr">Add to Wishlist</span></a>
+      </div><div class="t4s-product-sizes"><span class="t4s-truncate t4s-d-block t4s-w-100"><span>40</span><span>41</span><span>42</span><span>43</span><span>44</span><span>45</span></span></div><a data-pr-href="" class="t4s-full-width-link is--href-replaced" href="/collections/premium-kicks-1/products/asics-novablast-4-minty-green"></a>
+    </div>
+    <div class="t4s-product-info">
+      <div class="t4s-product-info__inner"><h3 class="t4s-product-title"><a data-pr-href="" href="/collections/premium-kicks-1/products/asics-novablast-4-minty-green" class="is--href-replaced">Asics Novablast 4 Minty Green</a></h3><div class="t4s-product-price" data-pr-price="" data-product-price=""><del>Rs.15,000.00</del><ins>Rs.9,999.00</ins></div></div>
+    </div>
+  </div></div><div class="t4s-product t4s-pr-grid t4s-pr-style1 t4s-pr-8105681911943 t4s-col-item is-t4s-pr-created" data-product-options="{ &quot;id&quot;:&quot;8105681911943&quot;,&quot;cusQty&quot;:&quot;1&quot;,&quot;available&quot;:true, &quot;handle&quot;:&quot;asics-novablast-4-natural&quot;, &quot;isDefault&quot;: false, &quot;VariantFirstID&quot;: 42724443160711, &quot;customBadge&quot;:null, &quot;customBadgeHandle&quot;:null,&quot;dateStart&quot;:1748610359, &quot;compare_at_price&quot;:1500000,&quot;price&quot;:999900, &quot;isPreoder&quot;:false,&quot;isExternal&quot;:false,&quot;image2&quot;:&quot;\/\/shooz.pk\/cdn\/shop\/files\/55C5459F-3962-4C82-8B38-E007EE0A26AD.jpg?v=1748610427\u0026width=1&quot;,&quot;alt&quot;:&quot;Asics Novablast 4 Natural&quot;,&quot;isGrouped&quot;:false,&quot;maxQuantity&quot;:9999 }">
+  <div class="t4s-product-wrapper hdt-reveal--offscreen" timeline="" hdt-reveal="slide-in" observed="">
+    <div data-cacl-slide="" class="t4s-product-inner t4s-pr t4s-oh"><div class="t4s-product-img t4s_ratio is-show-img2" data-style="--aspect-ratioapt: 0.75">
+    <img data-pr-img="" class="t4s-product-main-img lazyloadt4s" loading="lazy" src="data:image/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==" data-src="//shooz.pk/cdn/shop/files/CC1077CA-2246-4ACB-9FA8-919461DF33C6.jpg?v=1748610427&amp;width=1" data-widths="[100,200,330,400,500,600,700,800,900]" data-optimumx="2" data-sizes="auto" width="3024" height="4032" alt="Asics Novablast 4 Natural">
+    <span class="lazyloadt4s-loader"></span>
+    <img data-sizes-scale="1.1" data-src="//shooz.pk/cdn/shop/files/55C5459F-3962-4C82-8B38-E007EE0A26AD.jpg?v=1748610427&amp;width=1" data-pr-img2="" class="t4s-product-hover-img lazyloadt4s" loading="lazy" src="data:image/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==" data-widths="[100,200,360,400,500,600,700,800,900,1000]" data-optimumx="2" data-sizes="auto" alt="Asics Novablast 4 Natural">
+    <noscript><img class="t4s-product-main-img" loading="lazy" src="//shooz.pk/cdn/shop/files/CC1077CA-2246-4ACB-9FA8-919461DF33C6.jpg?v=1748610427&width=600"  alt="Asics Novablast 4 Natural"></noscript>
+</div><div data-product-badge="" data-sort="sale,new,soldout,preOrder,custom" class="t4s-product-badge"><span data-badge-sale="" class="t4s-badge-item t4s-badge-sale">-33%</span></div>
+      <div class="t4s-product-btns">
+         <a href="/collections/premium-kicks-1/products/asics-novablast-4-natural" data-tooltip="" data-id="8105681911943" rel="nofollow" class="t4s-pr-item-btn t4s-pr-quickview t4s-tooltip-actived" data-action-quickview=""><span class="t4s-svg-pr-icon"><svg viewBox="0 0 24 24"><use xlink:href="#t4s-icon-qv"></use></svg></span><span class="t4s-text-pr">Quick view</span></a>
+         <a href="/collections/premium-kicks-1/products/asics-novablast-4-natural" data-atc-selector="" data-tooltip="" data-id="8105681911943" rel="nofollow" class="t4s-pr-item-btn t4s-pr-addtocart t4s-tooltip-actived" dat-qty="1" data-action-quickshop=""><span class="t4s-svg-pr-icon"><svg viewBox="0 0 24 24"><use xlink:href="#t4s-icon-atc"></use></svg></span><span class="t4s-text-pr">Quick Shop</span></a>
+      </div>
+      <div class="t4s-product-btns2"><a href="/collections/premium-kicks-1/products/asics-novablast-4-natural" data-tooltip="right" data-id="8105681911943" rel="nofollow" class="t4s-pr-item-btn t4s-pr-wishlist t4s-tooltip-actived" data-action-wishlist=""><span class="t4s-svg-pr-icon"><svg viewBox="0 0 24 24"><use xlink:href="#t4s-icon-wis"></use></svg></span><span class="t4s-text-pr">Add to Wishlist</span></a>
+      </div><div class="t4s-product-sizes"><span class="t4s-truncate t4s-d-block t4s-w-100"><span>40</span><span>41</span><span>42</span><span>43</span><span>44</span><span>45</span></span></div><a data-pr-href="" class="t4s-full-width-link is--href-replaced" href="/collections/premium-kicks-1/products/asics-novablast-4-natural"></a>
+    </div>
+    <div class="t4s-product-info">
+      <div class="t4s-product-info__inner"><h3 class="t4s-product-title"><a data-pr-href="" href="/collections/premium-kicks-1/products/asics-novablast-4-natural" class="is--href-replaced">Asics Novablast 4 Natural</a></h3><div class="t4s-product-price" data-pr-price="" data-product-price=""><del>Rs.15,000.00</del><ins>Rs.9,999.00</ins></div></div>
+    </div>
+  </div></div><div class="t4s-product t4s-pr-grid t4s-pr-style1 t4s-pr-8105679356039 t4s-col-item is-t4s-pr-created" data-product-options="{ &quot;id&quot;:&quot;8105679356039&quot;,&quot;cusQty&quot;:&quot;1&quot;,&quot;available&quot;:true, &quot;handle&quot;:&quot;asics-novablast-4-teal-blue&quot;, &quot;isDefault&quot;: false, &quot;VariantFirstID&quot;: 42724435034247, &quot;customBadge&quot;:null, &quot;customBadgeHandle&quot;:null,&quot;dateStart&quot;:1748609947, &quot;compare_at_price&quot;:1500000,&quot;price&quot;:999900, &quot;isPreoder&quot;:false,&quot;isExternal&quot;:false,&quot;image2&quot;:&quot;\/\/shooz.pk\/cdn\/shop\/files\/9B4E0FB6-5A10-4BA8-A9C3-208545573883.jpg?v=1748610030\u0026width=1&quot;,&quot;alt&quot;:&quot;Asics Novablast 4 Teal blue&quot;,&quot;isGrouped&quot;:false,&quot;maxQuantity&quot;:9999 }">
+  <div class="t4s-product-wrapper hdt-reveal--offscreen" timeline="" hdt-reveal="slide-in" observed="">
+    <div data-cacl-slide="" class="t4s-product-inner t4s-pr t4s-oh"><div class="t4s-product-img t4s_ratio is-show-img2" data-style="--aspect-ratioapt: 0.75">
+    <img data-pr-img="" class="t4s-product-main-img lazyloadt4s" loading="lazy" src="data:image/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==" data-src="//shooz.pk/cdn/shop/files/AFD47D7D-64F0-4C18-B1BB-D2F212F086A0.jpg?v=1748610030&amp;width=1" data-widths="[100,200,330,400,500,600,700,800,900]" data-optimumx="2" data-sizes="auto" width="3024" height="4032" alt="Asics Novablast 4 Teal blue">
+    <span class="lazyloadt4s-loader"></span>
+    <img data-sizes-scale="1.1" data-src="//shooz.pk/cdn/shop/files/9B4E0FB6-5A10-4BA8-A9C3-208545573883.jpg?v=1748610030&amp;width=1" data-pr-img2="" class="t4s-product-hover-img lazyloadt4s" loading="lazy" src="data:image/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==" data-widths="[100,200,360,400,500,600,700,800,900,1000]" data-optimumx="2" data-sizes="auto" alt="Asics Novablast 4 Teal blue">
+    <noscript><img class="t4s-product-main-img" loading="lazy" src="//shooz.pk/cdn/shop/files/AFD47D7D-64F0-4C18-B1BB-D2F212F086A0.jpg?v=1748610030&width=600"  alt="Asics Novablast 4 Teal blue"></noscript>
+</div><div data-product-badge="" data-sort="sale,new,soldout,preOrder,custom" class="t4s-product-badge"><span data-badge-sale="" class="t4s-badge-item t4s-badge-sale">-33%</span></div>
+      <div class="t4s-product-btns">
+         <a href="/collections/premium-kicks-1/products/asics-novablast-4-teal-blue" data-tooltip="" data-id="8105679356039" rel="nofollow" class="t4s-pr-item-btn t4s-pr-quickview t4s-tooltip-actived" data-action-quickview=""><span class="t4s-svg-pr-icon"><svg viewBox="0 0 24 24"><use xlink:href="#t4s-icon-qv"></use></svg></span><span class="t4s-text-pr">Quick view</span></a>
+         <a href="/collections/premium-kicks-1/products/asics-novablast-4-teal-blue" data-atc-selector="" data-tooltip="" data-id="8105679356039" rel="nofollow" class="t4s-pr-item-btn t4s-pr-addtocart t4s-tooltip-actived" dat-qty="1" data-action-quickshop=""><span class="t4s-svg-pr-icon"><svg viewBox="0 0 24 24"><use xlink:href="#t4s-icon-atc"></use></svg></span><span class="t4s-text-pr">Quick Shop</span></a>
+      </div>
+      <div class="t4s-product-btns2"><a href="/collections/premium-kicks-1/products/asics-novablast-4-teal-blue" data-tooltip="right" data-id="8105679356039" rel="nofollow" class="t4s-pr-item-btn t4s-pr-wishlist t4s-tooltip-actived" data-action-wishlist=""><span class="t4s-svg-pr-icon"><svg viewBox="0 0 24 24"><use xlink:href="#t4s-icon-wis"></use></svg></span><span class="t4s-text-pr">Add to Wishlist</span></a>
+      </div><div class="t4s-product-sizes"><span class="t4s-truncate t4s-d-block t4s-w-100"><span>40</span><span>41</span><span>42</span><span>43</span><span>44</span><span>45</span></span></div><a data-pr-href="" class="t4s-full-width-link is--href-replaced" href="/collections/premium-kicks-1/products/asics-novablast-4-teal-blue"></a>
+    </div>
+    <div class="t4s-product-info">
+      <div class="t4s-product-info__inner"><h3 class="t4s-product-title"><a data-pr-href="" href="/collections/premium-kicks-1/products/asics-novablast-4-teal-blue" class="is--href-replaced">Asics Novablast 4 Teal blue</a></h3><div class="t4s-product-price" data-pr-price="" data-product-price=""><del>Rs.15,000.00</del><ins>Rs.9,999.00</ins></div></div>
+    </div>
+  </div></div></div><div class="t4s-prs-footer t4s-has-btn-none t4s-text-center"><a class="t4s-btn t4s-btn-base t4s-viewall-btn t4s-btn-style-default t4s-btn-size-large t4s-btn-color-dark t4s-btn-effect-default" href="/collections/premium-kicks-1">View All</a></div></div></div><div id="t4s-tab_item_Mw9qgk" class="t4s-tab-content2 lazyloadt4s" data-t4s-tab-content="" data-render-lazy-component="" data-rendert4s="/search?type=article&amp;q=1_bid+ntt4tag" data-set4surl="&amp;section_id=template--15903647760519__tabs_collection_DrBV7k" data-t4splitlz=""><div class="lds_bginfinity t4s-pr"></div></div><div id="t4s-tab_item_Qixt4w" class="t4s-tab-content2 lazyloadt4s" data-t4s-tab-content="" data-render-lazy-component="" data-rendert4s="/search?type=article&amp;q=2_bid+ntt4tag" data-set4surl="&amp;section_id=template--15903647760519__tabs_collection_DrBV7k" data-t4splitlz=""><div class="lds_bginfinity t4s-pr"></div></div><div id="t4s-tab_item_3Btwj8" class="t4s-tab-content2 lazyloadt4s" data-t4s-tab-content="" data-render-lazy-component="" data-rendert4s="/search?type=article&amp;q=3_bid+ntt4tag" data-set4surl="&amp;section_id=template--15903647760519__tabs_collection_DrBV7k" data-t4splitlz=""><div class="lds_bginfinity t4s-pr"></div></div></div>
+      </div>
+    </div></div></div></section><section id="shopify-section-template--15903647760519__top_heading_LBjJr4" class="shopify-section t4s-section t4s-section-all"><!-- sections/top_heading.liquid -->
+<link href="//shooz.pk/cdn/shop/t/7/assets/section.css?v=19467530681101428381716281116" rel="stylesheet" type="text/css" media="all">
+<link href="//shooz.pk/cdn/shop/t/7/assets/top-head.css?v=37867058972263844251716281118" rel="stylesheet" type="text/css" media="all">
+<link href="//shooz.pk/cdn/shop/t/7/assets/topheading-section.css?v=61892504884498214371716281118" rel="stylesheet" type="text/css" media="all">
+<div class="t4s-section-inner t4s_nt_se_template--15903647760519__top_heading_LBjJr4 t4s_nt_se_template--15903647760519__top_heading_LBjJr4 t4s-container-wrap" style="--bg-color: ;--bg-gradient: ;--border-cl: ;--mg-top: ;--mg-right: auto;--mg-bottom: 50px;--mg-left:auto;--pd-top: ;--pd-right: ;--pd-bottom: ;--pd-left: ;--mgtb-top: ;--mgtb-right: auto;--mgtb-bottom: 50px;--mgtb-left: auto;--pdtb-top: ;--pdtb-right: ;--pdtb-bottom: ;--pdtb-left: ;--mgmb-top: ;--mgmb-right: auto;--mgmb-bottom: 30px;--mgmb-left: auto;--pdmb-top: ;--pdmb-right: ;--pdmb-bottom: ;--pdmb-left: ;"><div class="t4s-container"><div timeline="" hdt-reveal="slide-in" class="t4s-top-heading t4s-text-center hdt-reveal--offscreen" observed=""><div timeline="" hdt-reveal="slide-in" class="t4s-top-heading-heading t4s_des_title_1 t4s-text-center hdt-reveal--offscreen" observed="">
+                                <h3 class="t4s-section-title t4s-title"><span>CUSTOMER REVIEWS</span></h3></div><div timeline="" hdt-reveal="slide-in" class="t4s-top-heading-subheading hdt-reveal--offscreen" observed="">
+                                <span class="t4s-section-des t4s-subtitle">Recent reviews from our valuable clients about our products and service</span>
+                            </div></div></div></div></section><section id="shopify-section-template--15903647760519__instagram_feed_33UXQK" class="shopify-section t4s-section t4s-section-all t4s_bk_flickity"><!-- sections/instagram_feed.liquid -->
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+    <symbol id="icon-instagramtemplate--15903647760519__instagram_feed_33UXQK" class="t4s-svg-ins-image" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="1.5" stroke-linecap="round" stroke-linejoin="round"><path d="M22,15.5,18.55,11a2,2,0,0,0-3.14,0L12,15.27a2,2,0,0,1-3,.18l-1.1-1.07a2,2,0,0,0-2.81,0L2,17.5V20a2,2,0,0,0,2,2H20a2,2,0,0,0,2-2Z"></path><rect x="2" y="2" width="20" height="20" rx="2"></rect><line x1="6.99" y1="7" x2="7" y2="7" stroke-linecap="round" stroke-width="2.5"></line></symbol>
+</svg>  
+<div class="t4s-section-inner t4s_nt_se_template--15903647760519__instagram_feed_33UXQK t4s-pr ins-is--loaded t4s_nt_se_template--15903647760519__instagram_feed_33UXQK t4s-container-fluid" style="--bg-color: ;--bg-gradient: ;--border-cl: ;--mg-top: ;--mg-right: auto;--mg-bottom: 50px;--mg-left:auto;--pd-top: ;--pd-right: ;--pd-bottom: ;--pd-left: ;--mgtb-top: ;--mgtb-right: auto;--mgtb-bottom: 50px;--mgtb-left: auto;--pdtb-top: ;--pdtb-right: ;--pdtb-bottom: ;--pdtb-left: ;--mgmb-top: ;--mgmb-right: auto;--mgmb-bottom: 30px;--mgmb-left: auto;--pdmb-top: ;--pdmb-right: ;--pdmb-bottom: ;--pdmb-left: ;">
+<div class="t4s-flicky-slider t4s-row t4s_cover t4s_ratio1_1 t4s_position_8 t4s-row-cols-lg-4 t4s-row-cols-md-2 t4s-row-cols-2 t4s-gx-md-0 t4s-gy-md-0 t4s-gx-0 t4s-gy-0 flickityt4s flickityt4s-enabled is-draggable t4s-enabled" data-flickityt4s-js="{ &quot;arrowIcon&quot;:&quot;2&quot;,&quot;imagesLoaded&quot;: 0,&quot;adaptiveHeight&quot;: 0, &quot;contain&quot;: 1, &quot;groupCells&quot;: &quot;100%&quot;, &quot;dragThreshold&quot; : 5, &quot;cellAlign&quot;: &quot;left&quot;,&quot;wrapAround&quot;: true,&quot;prevNextButtons&quot;: false,&quot;percentPosition&quot;: 1,&quot;pageDots&quot;: false, &quot;autoPlay&quot; : 1500.0, &quot;pauseAutoPlayOnHover&quot; : true }" style="--space-dots: 10px;--flickity-btn-pos: 0px;--flickity-btn-pos-mb: 0px;" tabindex="0">
+    
+<div class="flickityt4s-viewport" style="height: 320px; touch-action: pan-y;"><div class="flickityt4s-slider" style="left: 0px; transform: translate3d(-14%, 0px, 0px);"><div class="t4s-col-item t4s-instagram-item t4s-col-ins" id="b_img_77Up9n" data-select-flickity="" style="position: absolute; left: 0px; transform: translateX(0%);" aria-hidden="true">
+                    <div data-href="" data-target="_blank" class="t4s-eff t4s-eff-dark-overlay t4s-eff-img-zoom hdt-reveal--offscreen" timeline="" hdt-reveal="slide-in" observed=""> 
+                        <div class="t4s_ratio" style="background: url(//shooz.pk/cdn/shop/files/3.webp?v=1716368836&amp;width=1);--aspect-ratioapt: 1.0" data-cacl-slide=""><img class="lazyloadt4s t4s-lz--fadeIn t4s-obj-eff" data-src="//shooz.pk/cdn/shop/files/3.webp?v=1716368836&amp;width=1" data-widths="[100,200,400,600,700,800,900,1000,1200,1400,1600]" data-optimumx="2" data-sizes="auto" src="data:image/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==" width="1080" height="1080" alt=""></div>   
+                        <div class="t4s-ins-info">
+                            <div class="t4s-ins-icon">
+                                <svg aria-hidden="true" focusable="false" role="presentation"><use href="#icon-instagramtemplate--15903647760519__instagram_feed_33UXQK"></use></svg>
+                            </div>
+                        </div>  
+                    </div> 
+                </div><div class="t4s-col-item t4s-instagram-item t4s-col-ins" id="b_img_tBgYGf" data-select-flickity="" style="position: absolute; left: 0px; transform: translateX(100%);" aria-hidden="true">
+                    <div data-href="" data-target="_blank" class="t4s-eff t4s-eff-dark-overlay t4s-eff-img-zoom hdt-reveal--offscreen" timeline="" hdt-reveal="slide-in" observed=""> 
+                        <div class="t4s_ratio" style="background: url(//shooz.pk/cdn/shop/files/2.webp?v=1716368851&amp;width=1);--aspect-ratioapt: 1.0" data-cacl-slide=""><img class="lazyloadt4s t4s-lz--fadeIn t4s-obj-eff" data-src="//shooz.pk/cdn/shop/files/2.webp?v=1716368851&amp;width=1" data-widths="[100,200,400,600,700,800,900,1000,1200,1400,1600]" data-optimumx="2" data-sizes="auto" src="data:image/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==" width="1080" height="1080" alt=""></div>   
+                        <div class="t4s-ins-info">
+                            <div class="t4s-ins-icon">
+                                <svg aria-hidden="true" focusable="false" role="presentation"><use href="#icon-instagramtemplate--15903647760519__instagram_feed_33UXQK"></use></svg>
+                            </div>
+                        </div>  
+                    </div> 
+                </div><div class="t4s-col-item t4s-instagram-item t4s-col-ins" id="b_img_Eij3P6" data-select-flickity="" style="position: absolute; left: 0px; transform: translateX(200%);" aria-hidden="true">
+                    <div data-href="" data-target="_blank" class="t4s-eff t4s-eff-dark-overlay t4s-eff-img-zoom hdt-reveal--offscreen" timeline="" hdt-reveal="slide-in" observed=""> 
+                        <div class="t4s_ratio" style="background: url(//shooz.pk/cdn/shop/files/4.webp?v=1716368874&amp;width=1);--aspect-ratioapt: 1.0" data-cacl-slide=""><img class="lazyloadt4s t4s-lz--fadeIn t4s-obj-eff" data-src="//shooz.pk/cdn/shop/files/4.webp?v=1716368874&amp;width=1" data-widths="[100,200,400,600,700,800,900,1000,1200,1400,1600]" data-optimumx="2" data-sizes="auto" src="data:image/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==" width="1080" height="1080" alt=""></div>   
+                        <div class="t4s-ins-info">
+                            <div class="t4s-ins-icon">
+                                <svg aria-hidden="true" focusable="false" role="presentation"><use href="#icon-instagramtemplate--15903647760519__instagram_feed_33UXQK"></use></svg>
+                            </div>
+                        </div>  
+                    </div> 
+                </div><div class="t4s-col-item t4s-instagram-item t4s-col-ins" id="b_img_tYyY9R" data-select-flickity="" style="position: absolute; left: 0px; transform: translateX(300%);" aria-hidden="true">
+                    <div data-href="" data-target="_blank" class="t4s-eff t4s-eff-dark-overlay t4s-eff-img-zoom hdt-reveal--offscreen" timeline="" hdt-reveal="slide-in" observed=""> 
+                        <div class="t4s_ratio" style="background: url(//shooz.pk/cdn/shop/files/5.webp?v=1716368918&amp;width=1);--aspect-ratioapt: 1.0" data-cacl-slide=""><img class="lazyloadt4s t4s-lz--fadeIn t4s-obj-eff" data-src="//shooz.pk/cdn/shop/files/5.webp?v=1716368918&amp;width=1" data-widths="[100,200,400,600,700,800,900,1000,1200,1400,1600]" data-optimumx="2" data-sizes="auto" src="data:image/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==" width="1080" height="1080" alt=""></div>   
+                        <div class="t4s-ins-info">
+                            <div class="t4s-ins-icon">
+                                <svg aria-hidden="true" focusable="false" role="presentation"><use href="#icon-instagramtemplate--15903647760519__instagram_feed_33UXQK"></use></svg>
+                            </div>
+                        </div>  
+                    </div> 
+                </div><div class="t4s-col-item t4s-instagram-item t4s-col-ins is-selected" id="b_img_tVFGQR" data-select-flickity="" style="position: absolute; left: 0px; transform: translateX(400%);">
+                    <div data-href="" data-target="_blank" class="t4s-eff t4s-eff-dark-overlay t4s-eff-img-zoom hdt-reveal--offscreen" timeline="" hdt-reveal="slide-in" observed=""> 
+                        <div class="t4s_ratio" style="background: url(//shooz.pk/cdn/shop/files/WhatsApp_Image_2024-05-22_at_2.08.15_PM.jpg?v=1716369008&amp;width=1);--aspect-ratioapt: 0.59453125" data-cacl-slide=""><img class="lazyloadt4s t4s-lz--fadeIn t4s-obj-eff" data-src="//shooz.pk/cdn/shop/files/WhatsApp_Image_2024-05-22_at_2.08.15_PM.jpg?v=1716369008&amp;width=1" data-widths="[100,200,400,600,700,800,900,1000,1200,1400,1600]" data-optimumx="2" data-sizes="auto" src="data:image/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==" width="761" height="1280" alt=""></div>   
+                        <div class="t4s-ins-info">
+                            <div class="t4s-ins-icon">
+                                <svg aria-hidden="true" focusable="false" role="presentation"><use href="#icon-instagramtemplate--15903647760519__instagram_feed_33UXQK"></use></svg>
+                            </div>
+                        </div>  
+                    </div> 
+                </div><div class="t4s-col-item t4s-instagram-item t4s-col-ins is-selected" id="b_img_n7PQPJ" data-select-flickity="" style="position: absolute; left: 0px; transform: translateX(500%);">
+                    <div data-href="" data-target="_blank" class="t4s-eff t4s-eff-dark-overlay t4s-eff-img-zoom hdt-reveal--offscreen" timeline="" hdt-reveal="slide-in" observed=""> 
+                        <div class="t4s_ratio" style="background: url(//shooz.pk/cdn/shop/files/WhatsApp_Image_2024-05-22_at_2.08.11_PM.jpg?v=1716369133&amp;width=1);--aspect-ratioapt: 0.60234375" data-cacl-slide=""><img class="lazyloadt4s t4s-lz--fadeIn t4s-obj-eff" data-src="//shooz.pk/cdn/shop/files/WhatsApp_Image_2024-05-22_at_2.08.11_PM.jpg?v=1716369133&amp;width=1" data-widths="[100,200,400,600,700,800,900,1000,1200,1400,1600]" data-optimumx="2" data-sizes="auto" src="data:image/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==" width="771" height="1280" alt=""></div>   
+                        <div class="t4s-ins-info">
+                            <div class="t4s-ins-icon">
+                                <svg aria-hidden="true" focusable="false" role="presentation"><use href="#icon-instagramtemplate--15903647760519__instagram_feed_33UXQK"></use></svg>
+                            </div>
+                        </div>  
+                    </div> 
+                </div><div class="t4s-col-item t4s-instagram-item t4s-col-ins is-selected" id="b_img_D94RNt" data-select-flickity="" style="position: absolute; left: 0px; transform: translateX(600%);">
+                    <div data-href="" data-target="_blank" class="t4s-eff t4s-eff-dark-overlay t4s-eff-img-zoom hdt-reveal--offscreen" timeline="" hdt-reveal="slide-in" observed=""> 
+                        <div class="t4s_ratio" style="background: url(//shooz.pk/cdn/shop/files/WhatsApp_Image_2024-05-22_at_2.08.15_PM.jpg?v=1716369008&amp;width=1);--aspect-ratioapt: 0.59453125" data-cacl-slide=""><img class="lazyloadt4s t4s-lz--fadeIn t4s-obj-eff" data-src="//shooz.pk/cdn/shop/files/WhatsApp_Image_2024-05-22_at_2.08.15_PM.jpg?v=1716369008&amp;width=1" data-widths="[100,200,400,600,700,800,900,1000,1200,1400,1600]" data-optimumx="2" data-sizes="auto" src="data:image/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==" width="761" height="1280" alt=""></div>   
+                        <div class="t4s-ins-info">
+                            <div class="t4s-ins-icon">
+                                <svg aria-hidden="true" focusable="false" role="presentation"><use href="#icon-instagramtemplate--15903647760519__instagram_feed_33UXQK"></use></svg>
+                            </div>
+                        </div>  
+                    </div> 
+                </div><div class="t4s-col-item t4s-instagram-item t4s-col-ins is-selected" id="b_img_E8RkdU" data-select-flickity="" style="position: absolute; left: 0px; transform: translateX(700%);">
+                    <div data-href="" data-target="_blank" class="t4s-eff t4s-eff-dark-overlay t4s-eff-img-zoom hdt-reveal--offscreen" timeline="" hdt-reveal="slide-in" observed=""> 
+                        <div class="t4s_ratio" style="background: url(//shooz.pk/cdn/shop/files/WhatsApp_Image_2024-05-24_at_19.13.29.jpg?v=1716560194&amp;width=1);--aspect-ratioapt: 0.63125" data-cacl-slide=""><img class="lazyloadt4s t4s-lz--fadeIn t4s-obj-eff" data-src="//shooz.pk/cdn/shop/files/WhatsApp_Image_2024-05-24_at_19.13.29.jpg?v=1716560194&amp;width=1" data-widths="[100,200,400,600,700,800,900,1000,1200,1400,1600]" data-optimumx="2" data-sizes="auto" src="data:image/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==" width="808" height="1280" alt=""></div>   
+                        <div class="t4s-ins-info">
+                            <div class="t4s-ins-icon">
+                                <svg aria-hidden="true" focusable="false" role="presentation"><use href="#icon-instagramtemplate--15903647760519__instagram_feed_33UXQK"></use></svg>
+                            </div>
+                        </div>  
+                    </div> 
+                </div><div class="t4s-col-item t4s-instagram-item t4s-col-ins" id="b_img_3CWxYx" data-select-flickity="" aria-hidden="true" style="position: absolute; left: 0px; transform: translateX(800%);">
+                    <div data-href="" data-target="_blank" class="t4s-eff t4s-eff-dark-overlay t4s-eff-img-zoom hdt-reveal--offscreen" timeline="" hdt-reveal="slide-in" observed=""> 
+                        <div class="t4s_ratio" style="background: url(//shooz.pk/cdn/shop/files/WhatsApp_Image_2024-05-24_at_19.13.30.jpg?v=1716560194&amp;width=1);--aspect-ratioapt: 0.6375" data-cacl-slide=""><img class="lazyloadt4s t4s-lz--fadeIn t4s-obj-eff" data-src="//shooz.pk/cdn/shop/files/WhatsApp_Image_2024-05-24_at_19.13.30.jpg?v=1716560194&amp;width=1" data-widths="[100,200,400,600,700,800,900,1000,1200,1400,1600]" data-optimumx="2" data-sizes="auto" src="data:image/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==" width="816" height="1280" alt=""></div>   
+                        <div class="t4s-ins-info">
+                            <div class="t4s-ins-icon">
+                                <svg aria-hidden="true" focusable="false" role="presentation"><use href="#icon-instagramtemplate--15903647760519__instagram_feed_33UXQK"></use></svg>
+                            </div>
+                        </div>  
+                    </div> 
+                </div><div class="t4s-col-item t4s-instagram-item t4s-col-ins" id="b_img_FbhiEX" data-select-flickity="" aria-hidden="true" style="position: absolute; left: 0px; transform: translateX(900%);">
+                    <div data-href="" data-target="_blank" class="t4s-eff t4s-eff-dark-overlay t4s-eff-img-zoom hdt-reveal--offscreen" timeline="" hdt-reveal="slide-in" observed=""> 
+                        <div class="t4s_ratio" style="background: url(//shooz.pk/cdn/shop/files/WhatsApp_Image_2024-05-24_at_19.13.30_1.jpg?v=1716560290&amp;width=1);--aspect-ratioapt: 0.63203125" data-cacl-slide=""><img class="lazyloadt4s t4s-lz--fadeIn t4s-obj-eff" data-src="//shooz.pk/cdn/shop/files/WhatsApp_Image_2024-05-24_at_19.13.30_1.jpg?v=1716560290&amp;width=1" data-widths="[100,200,400,600,700,800,900,1000,1200,1400,1600]" data-optimumx="2" data-sizes="auto" src="data:image/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==" width="809" height="1280" alt=""></div>   
+                        <div class="t4s-ins-info">
+                            <div class="t4s-ins-icon">
+                                <svg aria-hidden="true" focusable="false" role="presentation"><use href="#icon-instagramtemplate--15903647760519__instagram_feed_33UXQK"></use></svg>
+                            </div>
+                        </div>  
+                    </div> 
+                </div><div class="t4s-col-item t4s-instagram-item t4s-col-ins" id="b_img_gkRQ4X" data-select-flickity="" aria-hidden="true" style="position: absolute; left: 0px; transform: translateX(1000%);">
+                    <div data-href="" data-target="_blank" class="t4s-eff t4s-eff-dark-overlay t4s-eff-img-zoom hdt-reveal--offscreen" timeline="" hdt-reveal="slide-in" observed=""> 
+                        <div class="t4s_ratio" style="background: url(//shooz.pk/cdn/shop/files/WhatsApp_Image_2024-05-24_at_19.13.30_2.jpg?v=1716560297&amp;width=1);--aspect-ratioapt: 0.6296875" data-cacl-slide=""><img class="lazyloadt4s t4s-lz--fadeIn t4s-obj-eff" data-src="//shooz.pk/cdn/shop/files/WhatsApp_Image_2024-05-24_at_19.13.30_2.jpg?v=1716560297&amp;width=1" data-widths="[100,200,400,600,700,800,900,1000,1200,1400,1600]" data-optimumx="2" data-sizes="auto" src="data:image/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==" width="806" height="1280" alt=""></div>   
+                        <div class="t4s-ins-info">
+                            <div class="t4s-ins-icon">
+                                <svg aria-hidden="true" focusable="false" role="presentation"><use href="#icon-instagramtemplate--15903647760519__instagram_feed_33UXQK"></use></svg>
+                            </div>
+                        </div>  
+                    </div> 
+                </div><div class="t4s-col-item t4s-instagram-item t4s-col-ins" id="b_img_aym9Tb" data-select-flickity="" aria-hidden="true" style="position: absolute; left: 0px; transform: translateX(1100%);">
+                    <div data-href="" data-target="_blank" class="t4s-eff t4s-eff-dark-overlay t4s-eff-img-zoom hdt-reveal--offscreen" timeline="" hdt-reveal="slide-in" observed=""> 
+                        <div class="t4s_ratio" style="background: url(//shooz.pk/cdn/shop/files/WhatsApp_Image_2024-05-24_at_19.13.31.jpg?v=1716560367&amp;width=1);--aspect-ratioapt: 0.62109375" data-cacl-slide=""><img class="lazyloadt4s t4s-lz--fadeIn t4s-obj-eff" data-src="//shooz.pk/cdn/shop/files/WhatsApp_Image_2024-05-24_at_19.13.31.jpg?v=1716560367&amp;width=1" data-widths="[100,200,400,600,700,800,900,1000,1200,1400,1600]" data-optimumx="2" data-sizes="auto" src="data:image/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==" width="795" height="1280" alt=""></div>   
+                        <div class="t4s-ins-info">
+                            <div class="t4s-ins-icon">
+                                <svg aria-hidden="true" focusable="false" role="presentation"><use href="#icon-instagramtemplate--15903647760519__instagram_feed_33UXQK"></use></svg>
+                            </div>
+                        </div>  
+                    </div> 
+                </div><div class="t4s-col-item t4s-instagram-item t4s-col-ins" id="b_img_b7HWBN" data-select-flickity="" aria-hidden="true" style="position: absolute; left: 0px; transform: translateX(1200%);">
+                    <div data-href="" data-target="_blank" class="t4s-eff t4s-eff-dark-overlay t4s-eff-img-zoom hdt-reveal--offscreen" timeline="" hdt-reveal="slide-in" observed=""> 
+                        <div class="t4s_ratio" style="background: url(//shooz.pk/cdn/shop/files/WhatsApp_Image_2024-05-24_at_19.13.31_1.jpg?v=1716560393&amp;width=1);--aspect-ratioapt: 0.64140625" data-cacl-slide=""><img class="lazyloadt4s t4s-lz--fadeIn t4s-obj-eff" data-src="//shooz.pk/cdn/shop/files/WhatsApp_Image_2024-05-24_at_19.13.31_1.jpg?v=1716560393&amp;width=1" data-widths="[100,200,400,600,700,800,900,1000,1200,1400,1600]" data-optimumx="2" data-sizes="auto" src="data:image/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==" width="821" height="1280" alt=""></div>   
+                        <div class="t4s-ins-info">
+                            <div class="t4s-ins-icon">
+                                <svg aria-hidden="true" focusable="false" role="presentation"><use href="#icon-instagramtemplate--15903647760519__instagram_feed_33UXQK"></use></svg>
+                            </div>
+                        </div>  
+                    </div> 
+                </div><div class="t4s-col-item t4s-instagram-item t4s-col-ins" id="b_img_d8cp6F" data-select-flickity="" aria-hidden="true" style="position: absolute; left: 0px; transform: translateX(1300%);">
+                    <div data-href="" data-target="_blank" class="t4s-eff t4s-eff-dark-overlay t4s-eff-img-zoom hdt-reveal--offscreen" timeline="" hdt-reveal="slide-in" observed=""> 
+                        <div class="t4s_ratio" style="background: url(//shooz.pk/cdn/shop/files/WhatsApp_Image_2024-05-24_at_19.13.32.jpg?v=1716560456&amp;width=1);--aspect-ratioapt: 0.559375" data-cacl-slide=""><img class="lazyloadt4s t4s-lz--fadeIn t4s-obj-eff" data-src="//shooz.pk/cdn/shop/files/WhatsApp_Image_2024-05-24_at_19.13.32.jpg?v=1716560456&amp;width=1" data-widths="[100,200,400,600,700,800,900,1000,1200,1400,1600]" data-optimumx="2" data-sizes="auto" src="data:image/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==" width="716" height="1280" alt=""></div>   
+                        <div class="t4s-ins-info">
+                            <div class="t4s-ins-icon">
+                                <svg aria-hidden="true" focusable="false" role="presentation"><use href="#icon-instagramtemplate--15903647760519__instagram_feed_33UXQK"></use></svg>
+                            </div>
+                        </div>  
+                    </div> 
+                </div><div class="t4s-col-item t4s-instagram-item t4s-col-ins" id="b_img_YQALPw" data-select-flickity="" aria-hidden="true" style="position: absolute; left: 0px; transform: translateX(1400%);">
+                    <div data-href="" data-target="_blank" class="t4s-eff t4s-eff-dark-overlay t4s-eff-img-zoom hdt-reveal--offscreen" timeline="" hdt-reveal="slide-in" observed=""> 
+                        <div class="t4s_ratio" style="background: url(//shooz.pk/cdn/shop/files/WhatsApp_Image_2024-05-24_at_19.13.33.jpg?v=1716560514&amp;width=1);--aspect-ratioapt: 0.61875" data-cacl-slide=""><img class="lazyloadt4s t4s-lz--fadeIn t4s-obj-eff" data-src="//shooz.pk/cdn/shop/files/WhatsApp_Image_2024-05-24_at_19.13.33.jpg?v=1716560514&amp;width=1" data-widths="[100,200,400,600,700,800,900,1000,1200,1400,1600]" data-optimumx="2" data-sizes="auto" src="data:image/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==" width="792" height="1280" alt=""></div>   
+                        <div class="t4s-ins-info">
+                            <div class="t4s-ins-icon">
+                                <svg aria-hidden="true" focusable="false" role="presentation"><use href="#icon-instagramtemplate--15903647760519__instagram_feed_33UXQK"></use></svg>
+                            </div>
+                        </div>  
+                    </div> 
+                </div><div class="t4s-col-item t4s-instagram-item t4s-col-ins" id="b_img_eVTVA7" data-select-flickity="" aria-hidden="true" style="position: absolute; left: 0px; transform: translateX(1500%);">
+                    <div data-href="" data-target="_blank" class="t4s-eff t4s-eff-dark-overlay t4s-eff-img-zoom hdt-reveal--offscreen" timeline="" hdt-reveal="slide-in" observed=""> 
+                        <div class="t4s_ratio" style="background: url(//shooz.pk/cdn/shop/files/WhatsApp_Image_2024-05-24_at_19.13.32_1.jpg?v=1716560595&amp;width=1);--aspect-ratioapt: 0.6046875" data-cacl-slide=""><img class="lazyloadt4s t4s-lz--fadeIn t4s-obj-eff" data-src="//shooz.pk/cdn/shop/files/WhatsApp_Image_2024-05-24_at_19.13.32_1.jpg?v=1716560595&amp;width=1" data-widths="[100,200,400,600,700,800,900,1000,1200,1400,1600]" data-optimumx="2" data-sizes="auto" src="data:image/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==" width="774" height="1280" alt=""></div>   
+                        <div class="t4s-ins-info">
+                            <div class="t4s-ins-icon">
+                                <svg aria-hidden="true" focusable="false" role="presentation"><use href="#icon-instagramtemplate--15903647760519__instagram_feed_33UXQK"></use></svg>
+                            </div>
+                        </div>  
+                    </div> 
+                </div><div class="t4s-col-item t4s-instagram-item t4s-col-ins" id="b_img_a3t9rF" data-select-flickity="" aria-hidden="true" style="position: absolute; left: 0px; transform: translateX(1600%);">
+                    <div data-href="" data-target="_blank" class="t4s-eff t4s-eff-dark-overlay t4s-eff-img-zoom hdt-reveal--offscreen" timeline="" hdt-reveal="slide-in" observed=""> 
+                        <div class="t4s_ratio" style="background: url(//shooz.pk/cdn/shop/files/WhatsApp_Image_2024-05-24_at_19.13.33_1.jpg?v=1716560695&amp;width=1);--aspect-ratioapt: 0.62890625" data-cacl-slide=""><img class="lazyloadt4s t4s-lz--fadeIn t4s-obj-eff" data-src="//shooz.pk/cdn/shop/files/WhatsApp_Image_2024-05-24_at_19.13.33_1.jpg?v=1716560695&amp;width=1" data-widths="[100,200,400,600,700,800,900,1000,1200,1400,1600]" data-optimumx="2" data-sizes="auto" src="data:image/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==" width="805" height="1280" alt=""></div>   
+                        <div class="t4s-ins-info">
+                            <div class="t4s-ins-icon">
+                                <svg aria-hidden="true" focusable="false" role="presentation"><use href="#icon-instagramtemplate--15903647760519__instagram_feed_33UXQK"></use></svg>
+                            </div>
+                        </div>  
+                    </div> 
+                </div><div class="t4s-col-item t4s-instagram-item t4s-col-ins" id="b_img_qEVCpg" data-select-flickity="" aria-hidden="true" style="position: absolute; left: 0px; transform: translateX(1700%);">
+                    <div data-href="" data-target="_blank" class="t4s-eff t4s-eff-dark-overlay t4s-eff-img-zoom hdt-reveal--offscreen" timeline="" hdt-reveal="slide-in" observed=""> 
+                        <div class="t4s_ratio" style="background: url(//shooz.pk/cdn/shop/files/WhatsApp_Image_2024-05-24_at_19.13.34.jpg?v=1716560714&amp;width=1);--aspect-ratioapt: 0.62734375" data-cacl-slide=""><img class="lazyloadt4s t4s-lz--fadeIn t4s-obj-eff" data-src="//shooz.pk/cdn/shop/files/WhatsApp_Image_2024-05-24_at_19.13.34.jpg?v=1716560714&amp;width=1" data-widths="[100,200,400,600,700,800,900,1000,1200,1400,1600]" data-optimumx="2" data-sizes="auto" src="data:image/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==" width="803" height="1280" alt=""></div>   
+                        <div class="t4s-ins-info">
+                            <div class="t4s-ins-icon">
+                                <svg aria-hidden="true" focusable="false" role="presentation"><use href="#icon-instagramtemplate--15903647760519__instagram_feed_33UXQK"></use></svg>
+                            </div>
+                        </div>  
+                    </div> 
+                </div><div class="t4s-col-item t4s-instagram-item t4s-col-ins" id="b_img_QeVjGj" data-select-flickity="" aria-hidden="true" style="position: absolute; left: 0px; transform: translateX(1800%);">
+                    <div data-href="" data-target="_blank" class="t4s-eff t4s-eff-dark-overlay t4s-eff-img-zoom hdt-reveal--offscreen" timeline="" hdt-reveal="slide-in" observed=""> 
+                        <div class="t4s_ratio" style="background: url(//shooz.pk/cdn/shop/files/WhatsApp_Image_2024-05-24_at_19.13.34_2.jpg?v=1716560739&amp;width=1);--aspect-ratioapt: 0.6125" data-cacl-slide=""><img class="lazyloadt4s t4s-lz--fadeIn t4s-obj-eff" data-src="//shooz.pk/cdn/shop/files/WhatsApp_Image_2024-05-24_at_19.13.34_2.jpg?v=1716560739&amp;width=1" data-widths="[100,200,400,600,700,800,900,1000,1200,1400,1600]" data-optimumx="2" data-sizes="auto" src="data:image/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==" width="784" height="1280" alt=""></div>   
+                        <div class="t4s-ins-info">
+                            <div class="t4s-ins-icon">
+                                <svg aria-hidden="true" focusable="false" role="presentation"><use href="#icon-instagramtemplate--15903647760519__instagram_feed_33UXQK"></use></svg>
+                            </div>
+                        </div>  
+                    </div> 
+                </div><div class="t4s-col-item t4s-instagram-item t4s-col-ins" id="b_img_TyrK8a" data-select-flickity="" aria-hidden="true" style="position: absolute; left: 0px; transform: translateX(1900%);">
+                    <div data-href="" data-target="_blank" class="t4s-eff t4s-eff-dark-overlay t4s-eff-img-zoom hdt-reveal--offscreen" timeline="" hdt-reveal="slide-in" observed=""> 
+                        <div class="t4s_ratio" style="background: url(//shooz.pk/cdn/shop/files/WhatsApp_Image_2024-05-24_at_19.13.34_1.jpg?v=1716560767&amp;width=1);--aspect-ratioapt: 0.62421875" data-cacl-slide=""><img class="lazyloadt4s t4s-lz--fadeIn t4s-obj-eff" data-src="//shooz.pk/cdn/shop/files/WhatsApp_Image_2024-05-24_at_19.13.34_1.jpg?v=1716560767&amp;width=1" data-widths="[100,200,400,600,700,800,900,1000,1200,1400,1600]" data-optimumx="2" data-sizes="auto" src="data:image/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==" width="799" height="1280" alt=""></div>   
+                        <div class="t4s-ins-info">
+                            <div class="t4s-ins-icon">
+                                <svg aria-hidden="true" focusable="false" role="presentation"><use href="#icon-instagramtemplate--15903647760519__instagram_feed_33UXQK"></use></svg>
+                            </div>
+                        </div>  
+                    </div> 
+                </div></div></div></div></div>
+</section><section id="shopify-section-template--15903647760519__1646209857bf69e76a" class="shopify-section t4s-section t4s-section-all t4s_tp_lb t4s_tp_flickity t4s_bk_flickity type_pin_owl"><!-- sections/instagram-shop.liquid -->
+<link href="//shooz.pk/cdn/shop/t/7/assets/section.css?v=19467530681101428381716281116" rel="stylesheet" type="text/css" media="all">
+<link href="//shooz.pk/cdn/shop/t/7/assets/pre_flickityt4s.min.css?v=80452565481494416591716281116" rel="stylesheet" type="text/css" media="all">
+<link href="//shooz.pk/cdn/shop/t/7/assets/instagram-pin.css?v=13568351784940228631716281115" rel="stylesheet" type="text/css" media="all">
+<link href="//shooz.pk/cdn/shop/t/7/assets/collection-products.css?v=154004616046841301881716281114" rel="stylesheet" type="text/css" media="all">
+<link href="//shooz.pk/cdn/shop/t/7/assets/slider-settings.css?v=83879533311557014651716281117" rel="stylesheet" type="text/css" media="all">
+<link href="//shooz.pk/cdn/shop/t/7/assets/button-style.css?v=14410007395220421991716281114" rel="stylesheet" type="text/css" media="all">
+<link href="//shooz.pk/cdn/shop/t/7/assets/base_drop.min.css?v=143841703872250052791716281114" rel="stylesheet" media="all" onload="this.media='all'"><div class="t4s-section-inner t4s_nt_se_template--15903647760519__1646209857bf69e76a t4s_se_template--15903647760519__1646209857bf69e76a t4s-container-fluid" style="--bg-color: ;--bg-gradient: ;--border-cl: ;--mg-top: ;--mg-right: auto;--mg-bottom: ;--mg-left:auto;--pd-top: ;--pd-right: ;--pd-bottom: ;--pd-left: ;--mgtb-top: ;--mgtb-right: auto;--mgtb-bottom: ;--mgtb-left: auto;--pdtb-top: ;--pdtb-right: ;--pdtb-bottom: ;--pdtb-left: ;--mgmb-top: ;--mgmb-right: auto;--mgmb-bottom: ;--mgmb-left: auto;--pdmb-top: ;--pdmb-right: ;--pdmb-bottom: ;--pdmb-left: ;"><link href="//shooz.pk/cdn/shop/t/7/assets/top-head.css?v=37867058972263844251716281118" rel="stylesheet" type="text/css" media="all">
+	<div timeline="" hdt-reveal="slide-in" class="t4s-top-heading t4s_des_title_2 t4s-text-center hdt-reveal--offscreen" style="--heading-height: px;--tophead_mb: 20px;" observed=""><div class="heading-testimonials-star ">
+		
+		<h3 class="t4s-section-title t4s-title"><span>@ FOLLOW US ON INSTAGRAM</span></h3></div></div>
+<div class="t4s-ins-shop t4s-flicky-slider t4s-row t4s_cover t4s_ratio1_1 t4s_position_8 t4s-row-cols-lg-6 t4s-row-cols-md-3 t4s-row-cols-2 t4s-gx-md-0 t4s-gy-md-0 t4s-gx-0 t4s-gy-0 t4s-slider-btn-style-outline t4s-slider-btn-round t4s-slider-btn-small t4s-slider-btn-cl-default t4s-slider-btn-vi-always t4s-slider-btn-hidden-mobile-false flickityt4s flickityt4s-enabled is-draggable flickityt4s_prev_disable flickityt4s_next_enable t4s-enabled" data-flickityt4s-js="{ &quot;arrowIcon&quot;:&quot;1&quot;,&quot;imagesLoaded&quot;: 0,&quot;adaptiveHeight&quot;: 0, &quot;contain&quot;: 1, &quot;groupCells&quot;: &quot;100%&quot;, &quot;dragThreshold&quot; : 5, &quot;cellAlign&quot;: &quot;left&quot;,&quot;wrapAround&quot;: false,&quot;prevNextButtons&quot;: true,&quot;percentPosition&quot;: 1,&quot;pageDots&quot;: false, &quot;autoPlay&quot; : 3000, &quot;pauseAutoPlayOnHover&quot; : true }" style="--space-dots: 10px;--flickity-btn-pos: 0px;--flickity-btn-pos-mb: 0px;" tabindex="0">
+    
+<div class="flickityt4s-viewport" style="height: 213.328px; touch-action: pan-y;"><div class="flickityt4s-slider" style="left: 0px; transform: translateX(0%);"><div class="t4s-col-item t4s-ins-item is-selected" id="b_1646209857c01ad255-3" data-select-flickity="" style="position: absolute; left: 0px; transform: translateX(0%);">    
+                <div class="t4s-ins-wrap t4s-pr t4s-oh hdt-reveal--offscreen" timeline="" hdt-reveal="slide-in" observed="">         
+                    <a href="https://www.instagram.com/moroccantouchma/?igsh=MXBuMGU2cWtmZTdwdw%3D%3D" target="_blank" aria-describedby="a11y-new-window-external-message" rel="noopener"> 
+                        <div class="t4s_ratio" https:="" www.instagram.com="" moroccantouchma="" ?igsh="MXBuMGU2cWtmZTdwdw%3D%3D" style="background: url(//shooz.pk/cdn/shop/files/Photoroom_20240521_194702.jpg?v=1716302841&amp;width=1);--aspect-ratioapt: 1.0; --br-rdu: 0%;"><img class="lazyloadt4s t4s-lz--fadeIn" data-src="//shooz.pk/cdn/shop/files/Photoroom_20240521_194702.jpg?v=1716302841&amp;width=1" data-widths="[100,200,400,600,700,800,900,1000,1200,1400,1600]" data-optimumx="2" data-sizes="auto" src="data:image/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==" width="1512" height="1512" alt=""></div>     
+                    </a></div>        
+            </div><div class="t4s-col-item t4s-ins-item is-selected" id="b_1646209857c01ad255-2" data-select-flickity="" style="position: absolute; left: 0px; transform: translateX(100%);">    
+                <div class="t4s-ins-wrap t4s-pr t4s-oh hdt-reveal--offscreen" timeline="" hdt-reveal="slide-in" observed="">         
+                    <a href="https://www.instagram.com/moroccantouchma/?igsh=MXBuMGU2cWtmZTdwdw%3D%3D" target="_blank" aria-describedby="a11y-new-window-external-message" rel="noopener"> 
+                        <div class="t4s_ratio" https:="" www.instagram.com="" moroccantouchma="" ?igsh="MXBuMGU2cWtmZTdwdw%3D%3D" style="background: url(//shooz.pk/cdn/shop/files/IMG_5206_1b7e3938-eaa3-41af-9c76-22d18ad36c37.jpg?v=1716302916&amp;width=1);--aspect-ratioapt: 0.8823529411764706; --br-rdu: 0%;"><img class="lazyloadt4s t4s-lz--fadeIn" data-src="//shooz.pk/cdn/shop/files/IMG_5206_1b7e3938-eaa3-41af-9c76-22d18ad36c37.jpg?v=1716302916&amp;width=1" data-widths="[100,200,400,600,700,800,900,1000,1200,1400,1600]" data-optimumx="2" data-sizes="auto" src="data:image/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==" width="1290" height="1462" alt=""></div>     
+                    </a></div>        
+            </div><div class="t4s-col-item t4s-ins-item is-selected" id="b_1646209857c01ad255-0" data-select-flickity="" style="position: absolute; left: 0px; transform: translateX(200%);">    
+                <div class="t4s-ins-wrap t4s-pr t4s-oh hdt-reveal--offscreen" timeline="" hdt-reveal="slide-in" observed="">         
+                    <a href="https://www.instagram.com/moroccantouchma/?igsh=MXBuMGU2cWtmZTdwdw%3D%3D" target="_blank" aria-describedby="a11y-new-window-external-message" rel="noopener"> 
+                        <div class="t4s_ratio" https:="" www.instagram.com="" moroccantouchma="" ?igsh="MXBuMGU2cWtmZTdwdw%3D%3D" style="background: url(//shooz.pk/cdn/shop/files/IMG_5207.png?v=1716302985&amp;width=1);--aspect-ratioapt: 0.4613733905579399; --br-rdu: 0%;"><img class="lazyloadt4s t4s-lz--fadeIn" data-src="//shooz.pk/cdn/shop/files/IMG_5207.png?v=1716302985&amp;width=1" data-widths="[100,200,400,600,700,800,900,1000,1200,1400,1600]" data-optimumx="2" data-sizes="auto" src="data:image/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==" width="1290" height="2796" alt=""></div>     
+                    </a></div>        
+            </div><div class="t4s-col-item t4s-ins-item is-selected" id="b_1646209857c01ad255-5" data-select-flickity="" style="position: absolute; left: 0px; transform: translateX(300%);">    
+                <div class="t4s-ins-wrap t4s-pr t4s-oh hdt-reveal--offscreen" timeline="" hdt-reveal="slide-in" observed="">         
+                    <a href="https://www.instagram.com/moroccantouchma/?igsh=MXBuMGU2cWtmZTdwdw%3D%3D" target="_blank" aria-describedby="a11y-new-window-external-message" rel="noopener"> 
+                        <div class="t4s_ratio" https:="" www.instagram.com="" moroccantouchma="" ?igsh="MXBuMGU2cWtmZTdwdw%3D%3D" style="background: url(//shooz.pk/cdn/shop/files/IMG_5209.jpg?v=1716303014&amp;width=1);--aspect-ratioapt: 0.8087774294670846; --br-rdu: 0%;"><img class="lazyloadt4s t4s-lz--fadeIn" data-src="//shooz.pk/cdn/shop/files/IMG_5209.jpg?v=1716303014&amp;width=1" data-widths="[100,200,400,600,700,800,900,1000,1200,1400,1600]" data-optimumx="2" data-sizes="auto" src="data:image/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==" width="1290" height="1595" alt=""></div>     
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+                <div class="t4s-ins-wrap t4s-pr t4s-oh hdt-reveal--offscreen" timeline="" hdt-reveal="slide-in" observed="">         
+                    <a href="https://www.instagram.com/moroccantouchma/?igsh=MXBuMGU2cWtmZTdwdw%3D%3D" target="_blank" aria-describedby="a11y-new-window-external-message" rel="noopener"> 
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+                <div class="t4s-ins-wrap t4s-pr t4s-oh hdt-reveal--offscreen" timeline="" hdt-reveal="slide-in" observed="">         
+                    <a href="https://www.instagram.com/moroccantouchma/?igsh=MXBuMGU2cWtmZTdwdw%3D%3D" target="_blank" aria-describedby="a11y-new-window-external-message" rel="noopener"> 
+                        <div class="t4s_ratio" https:="" www.instagram.com="" moroccantouchma="" ?igsh="MXBuMGU2cWtmZTdwdw%3D%3D" style="background: url(//shooz.pk/cdn/shop/files/IMG_5208.jpg?v=1716303104&amp;width=1);--aspect-ratioapt: 1.350785340314136; --br-rdu: 0%;"><img class="lazyloadt4s t4s-lz--fadeIn" data-src="//shooz.pk/cdn/shop/files/IMG_5208.jpg?v=1716303104&amp;width=1" data-widths="[100,200,400,600,700,800,900,1000,1200,1400,1600]" data-optimumx="2" data-sizes="auto" src="data:image/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==" width="1290" height="955" alt=""></div>     
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+            </div><div class="t4s-col-item t4s-ins-item" id="b_img_97dikq" data-select-flickity="" aria-hidden="true" style="position: absolute; left: 0px; transform: translateX(600%);">    
+                <div class="t4s-ins-wrap t4s-pr t4s-oh hdt-reveal--offscreen" timeline="" hdt-reveal="slide-in" observed="">         
+                    <div data-href="" data-target="_blank"> 
+                        <div class="t4s_ratio" style="background: url(//shooz.pk/cdn/shop/files/WhatsApp_Image_2024-05-22_at_2.08.10_PM_2.jpg?v=1716369151&amp;width=1);--aspect-ratioapt: 0.62109375; --br-rdu: 0%;"><img class="lazyloadt4s t4s-lz--fadeIn" data-src="//shooz.pk/cdn/shop/files/WhatsApp_Image_2024-05-22_at_2.08.10_PM_2.jpg?v=1716369151&amp;width=1" data-widths="[100,200,400,600,700,800,900,1000,1200,1400,1600]" data-optimumx="2" data-sizes="auto" src="data:image/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==" width="795" height="1280" alt=""></div>     
+                    </div></div>        
+            </div></div></div><button class="flickityt4s-button flickityt4s-prev-next-button previous" type="button" disabled="" aria-label="Previous"><svg class="flickityt4s-button-icon" viewBox="0 0 100 100"><path d="M 10,50 L 60,100 L 70,90 L 30,50  L 70,10 L 60,0 Z" class="arrow"></path></svg></button><button class="flickityt4s-button flickityt4s-prev-next-button next" type="button" aria-label="Next"><svg class="flickityt4s-button-icon" viewBox="0 0 100 100"><path d="M 10,50 L 60,100 L 70,90 L 30,50  L 70,10 L 60,0 Z" class="arrow" transform="translate(100, 100) rotate(180) "></path></svg></button></div></div>
+</section><section id="shopify-section-template--15903647760519__164620932069107a3a" class="shopify-section t4s-section t4s-section-all t4s_tp_cdt t4s-shipping t4s_bk_flickity"><!-- sections/shipping.liquid -->
+<link href="//shooz.pk/cdn/shop/t/7/assets/section.css?v=19467530681101428381716281116" rel="stylesheet" type="text/css" media="all">
+<link href="//shooz.pk/cdn/shop/t/7/assets/shipping.css?v=113945731552983078991716281117" rel="stylesheet" type="text/css" media="all">
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+    cart_change_url: '/cart/change',
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+    quickShop: `Quick Shop`,
+    soldOut: `Out of stock`,
+    readMore: `Read more`,
+    preOrder: `Pre-order`,
+    preView: `View products`,
+    unavailable: `Unavailable`,
+    replace_qs_atc: `Replace item`,
+    replace_qs_pre: `Replace item`,
+    badgeNew: `New`,
+    badgeSale: `Sale`,
+    badgepreOrder: `Pre order`,
+    badgeSoldout: `Sold out`,
+    badgeSavePercent: `-[sale]%`,
+    badgeSaveFixed: `-[sale]`,
+    badgeSavePercent2: `SAVE [sale]%`,
+    badgeSaveFixed2: `SAVE [sale]`,
+    swatch_limit: `Show More Colors`,
+    swatch_limit_less: `Show Less Colors`,
+    compare: `Compare`,
+    added_text_cp: `Compare products`, 
+    add_to_wishlist: `Add to Wishlist`,
+    remove_wishlist: `Remove Wishlist`,
+    browse_wishlist: `Browse Wishlist`,
+    order_dayNames  : "Sunday,Monday,Tuesday,Wednesday,Thursday,Friday,Saturday",
+    order_monthNames: "January,February,March,April,May,June,July,August,September,October,November,December"
+  };
+  window.T4Sstrings = {
+    mfp_close: `Close (Esc)`,
+    mfp_loading: `Loading...`,
+    pswp_facebook: `Share on Facebook`,
+    pswp_twitter: `Tweet`,
+    pswp_pinterest: `Pin it`,
+    error_exist: `Email already used for another account`,
+    agree_checkout: `You must agree with the terms and conditions of sales to check out.`,
+    notice_stock_msg: `Not enough items available. Only [max] left.`,
+    frm_contact_ask_success: `Thanks for contacting us. We&#39;ll get back to you as soon as possible.`,
+    frm_notify_stock_success: `Thanks! We will notify you when this product becomes available!`,
+    frm_newsletter_popup_success: `Thanks for subscribing`,
+    copy_tooltipText: `Copy to clipboard`,
+    copied_tooltipText: `Copied`,
+    item_cart: [`items`, `item`, `items`],
+    item_compare: [`products`, `product`, `products`],
+    recipientFormExpanded: `Gift card recipient form expanded`,
+    recipientFormCollapsed: `Gift card recipient form collapsed`
+  };
+  
+  window.T4Sconfigs = {
+    theme: 'kalles',
+    isPageIndex: false,
+    cartCurrency: "PKR",
+    moneyFormat: "Rs.{{amount}}",
+    moneyWithCurrencyFormat: "Rs.{{amount}} PKR",
+    currencyCodeEnabled: false,
+    within_cat: true,
+    revealInView: true,
+    script1: '//shooz.pk/cdn/shop/t/7/assets/polyfill.min.js?v=181567308014162318111716281116',
+    script2: '//shooz.pk/cdn/shop/t/7/assets/theme.min.js?v=16916950790727198441716281117',
+    script3: '//shooz.pk/cdn/shop/t/7/assets/interactable.min.js?v=53185779685690334681716281115',
+    script4: '//shooz.pk/cdn/shop/t/7/assets/t4s_thumb.min.js?638',
+    script5: '//shooz.pk/cdn/shop/t/7/assets/t4s_zoom.min.js?v=118749277644528088231716281117',
+    script6: '//shooz.pk/cdn/shop/t/7/assets/predictive-search.min.js?v=22541686231049480561716281116',
+    script7: '//shooz.pk/cdn/shop/t/7/assets/facets.min.js?v=164422985717777672251716281115',
+    script8: '//shooz.pk/cdn/shop/t/7/assets/nouislider.min.js?v=138997367956044330881716281116',
+    script9: '//shooz.pk/cdn/shop/t/7/assets/des_adm.min.js?v=125488844073589296441716281115',
+    script10: '//shooz.pk/cdn/shop/t/7/assets/t4s-instant-page.min.js?v=66639300826534233221716281117',
+    script11: 'none',
+    script12: '//shooz.pk/cdn/shop/t/7/assets/reviewOther.js?v=95403737616239082511716281116',
+    script12a: '//shooz.pk/cdn/shop/t/7/assets/t4s-currencies.min.js?v=21666633133468324721716281117',
+    script12b: '//shooz.pk/cdn/shop/t/7/assets/threesixty.min.js?v=135209691209182052231716281118',
+    script12c: '//shooz.pk/cdn/shop/t/7/assets/hand.min.js?v=42771098400111014641716281115',
+    script12d: '//shooz.pk/cdn/shop/t/7/assets/typed.min.js?638',
+    stylesheet1: '//shooz.pk/cdn/shop/t/7/assets/mini-cart.css?v=118877294164861201271716281116',
+    stylesheet2: '//shooz.pk/cdn/shop/t/7/assets/mobile_nav.css?v=91007517013863193211716281116',
+    stylesheet3: '//shooz.pk/cdn/shop/t/7/assets/login-sidebar.css?v=162280350561165346861716281116',
+    stylesheet4: '//shooz.pk/cdn/shop/t/7/assets/search-hidden.css?v=139922884370207432601716281116',
+    timezone: "",
+    nowTimestamp: 1749106924,
+    show_img: 2,
+    enable_quickshop: true,
+    use_sale_badge: true,
+    label_sale_style: '2',
+    use_new_badge: false,
+    new_day_int: 10,
+    use_soldout_badge: false,
+    use_custom_badge: false,
+    use_preorder_badge: false,
+    swatch_limit: true,
+    swatch_num: 0,
+    swatch_click: 1,
+    sw_item_style: '1',
+    show_qty: false,
+    pr_curent: '3',
+    enableAjaxATC: true,
+    enableAjaxCart: true,
+    app_review: 7,
+    enableConfetti: true,
+    cartType: 'drawer',
+    afterActionATC: '3',
+    enableCompePopup: false,
+    preViewBar: 'demo-kalles',
+    cacheName: 'kalles129238073479',
+    CartAttrHidden : true,
+    timeOutNotices : 4000,
+    autoHideNotices: true,
+    disOnlyStock   : false,disATCerror    : false,onlyClickDropIcon : true,
+    disFlashyApp   : true, 
+    // remove_unavai: false ,
+    enable_compare: false,
+    wishlist_mode : "1",
+    wis_atc_added : "1",
+    platform_email: "1",
+    currency_type : "1", auto_currency: true, round_currency: false, hover_currency: false,
+    img2: `<img data-sizes-scale="1.1" data-src="image_src" data-pr-img2 class="t4s-product-hover-img lazyloadt4s" loading="lazy" src="data:image/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==" data-widths="[100,200,360,400,500,600,700,800,900,1000]" data-optimumx="2" data-sizes="auto" alt="image_alt">`,
+    cp_icon : "\u003csvg class=\"t4s-svg-cp\" viewBox=\"0 0 24 24\"\u003e\u003cuse xlink:href=\"#t4s-icon-cp\"\u003e\u003c\/use\u003e\u003c\/svg\u003e",
+    cp_icon_added : "\u003csvg class=\"t4s-svg-cp is-ic--added\" viewBox=\"0 0 24 24\"\u003e\u003cuse xlink:href=\"#t4s-icon-cp-added\"\u003e\u003c\/use\u003e\u003c\/svg\u003e",
+    wis_icon : "\u003csvg class=\"t4s-svg-wis\" viewBox=\"0 0 24 24\"\u003e\u003cuse xlink:href=\"#t4s-icon-wis\"\u003e\u003c\/use\u003e\u003c\/svg\u003e",
+    wis_icon_added: "\u003csvg class=\"t4s-svg-wis is-ic--added\" viewBox=\"0 0 24 24\"\u003e\u003cuse xlink:href=\"#t4s-icon-wis-added\"\u003e\u003c\/use\u003e\u003c\/svg\u003e",
+    wis_icon_remove: "\u003csvg class=\"t4s-svg-wis is-ic--remove\" viewBox=\"0 0 24 24\"\u003e\u003cuse xlink:href=\"#t4s-icon-wis-remove\"\u003e\u003c\/use\u003e\u003c\/svg\u003e"
+  };
+  !function(){const t=document.documentElement.offsetWidth;t<1025&&[].forEach.call(document.querySelectorAll(".t4s-container-fluid >.t4s-row,.t4s-container >.t4s-row"),function(e){e.offsetWidth>t&&e.classList.add("t4s-fix-overflow")});const e=document.querySelector('#MainContent .t4s-section img[loading="lazy"]'),n=document.querySelector('#MainContent .t4s-section img.t4s-d-none.t4s-d-md-block[loading="lazy"]');function o(t){return!!(t.offsetWidth||t.offsetHeight||t.getClientRects().length)}e&&window.innerWidth<768&&e.setAttribute("loading","eager"),n&&window.innerWidth>767&&n.setAttribute("loading","eager");var i=window.pageXOffset,s=window.pageYOffset,r=window.innerWidth,a=window.innerHeight;function f(t,e=!1){for(var n=t.offsetTop,o=t.offsetLeft,f=t.offsetWidth,d=t.offsetHeight;t.offsetParent;)n+=(t=t.offsetParent).offsetTop,o+=t.offsetLeft;return e?n<s+a&&o<i+r&&n+d>s&&o+f>i:n>=s&&o>=i&&n+d<=s+a&&o+f<=i+r}var d=0,l=document.querySelectorAll("#MainContent .t4s-section");0!=l.length&&[...l].some((t,e)=>{let n=e?f(t):f(t,!0);if(n)++d,t.querySelectorAll("img.lazyloadt4s").forEach(t=>{if(o(t)){let e=JSON.parse(t.getAttribute("data-widths")),n=t.getAttribute("data-src"),o=t.getAttribute("data-sizes-scale")||1,i=window.devicePixelRatio||1,s=function(t,e){for(var n=e[0],o=Math.abs(t-n),i=0;i<e.length;i++){let s=Math.abs(t-e[i]);s<=o&&(o=s,n=e[i])}return n}(t.clientWidth*o*i,e);t.removeAttribute("loading"),t.setAttribute("src",n.replace("width=1","width="+s)),t.classList.add("lazyloadt4s-opt") }});else if(!n&&d>0)return!0})}();
+</script>
+<template id="btns_pr_temp"><a href="#t4s_pr_url" data-tooltip="" data-id="id_nt_94" rel="nofollow" class="t4s-pr-item-btn t4s-pr-quickview" data-action-quickview=""><span class="t4s-svg-pr-icon"><svg viewBox="0 0 24 24"><use xlink:href="#t4s-icon-qv"></use></svg></span><span class="t4s-text-pr">Quick view</span></a>[split_t4snt][split_t4snt]<a href="#t4s_pr_url" data-tooltip="" data-id="id_nt_94" rel="nofollow" class="t4s-pr-item-btn t4s-pr-wishlist" data-action-wishlist=""><span class="t4s-svg-pr-icon"><svg viewBox="0 0 24 24"><use xlink:href="#t4s-icon-wis"></use></svg></span><span class="t4s-text-pr">Add to Wishlist</span></a>[split_t4snt]<a href="#t4s_pr_url" data-atc-selector="" data-tooltip="" data-id="id_nt_94" rel="nofollow" class="t4s-pr-item-btn t4s-pr-addtocart" dat-qty="1"><span class="t4s-svg-pr-icon"><svg viewBox="0 0 24 24"><use xlink:href="#t4s-icon-atc"></use></svg></span><span class="t4s-text-pr">Add to cart</span></a>[split_t4snt]</template>
+<template id="t4s_temp_modal">
+  <div class="t4s-modal" aria-hidden="false" tabindex="-1" role="dialog">
+    <div class="t4s-modal__inner">
+      <div class="t4s-modal__content"></div>
+      <button data-t4s-modal-close="" title="Close" type="button" class="t4s-modal-close"><svg class="t4s-modal-icon-close" role="presentation" viewBox="0 0 16 14"><path d="M15 0L1 14m14 0L1 0" stroke="currentColor" fill="none" fill-rule="evenodd"></path></svg></button>
+    </div>
+  </div>
+</template>
+<template id="photoswipe_template"><div class="pswp pswp__t4s" tabindex="-1" role="dialog" aria-hidden="false"><div class="pswp__bg"></div><div class="pswp__scroll-wrap"><div class="pswp__container"><div class="pswp__item"></div><div class="pswp__item"></div><div class="pswp__item"></div></div><div class="pswp__ui pswp__ui--hidden"><div class="pswp__top-bar"><div class="pswp__counter"></div><button class="pswp__button pswp__button--close" title="Close"></button> <button class="pswp__button pswp__button--share" title="Share"></button> <button class="pswp__button pswp__button--fs" title="Toggle fullscreen"></button> <button class="pswp__button pswp__button--zoom" title="Zoom in/out"></button><div class="pswp__preloader"><div class="pswp__preloader__icn"><div class="pswp__preloader__cut"><div class="pswp__preloader__donut"></div></div></div></div></div><div class="pswp__share-modal pswp__share-modal--hidden pswp__single-tap"><div class="pswp__share-tooltip"></div></div><button class="pswp__button pswp__button--arrow--left" title="Previous (arrow left)"></button> <button class="pswp__button pswp__button--arrow--right" title="Next (arrow right)"></button><div class="pswp__caption"><div class="pswp__caption__center"></div></div></div></div><div class="pswp__thumbnails t4s-current-scrollbar t4s-scheme-light"></div></div></template><link rel="stylesheet" href="//shooz.pk/cdn/shop/t/7/assets/mobile_nav.css?v=91007517013863193211716281116" media="all" onload="this.media='all'"><div id="t4s-menu-drawer" class="t4s-drawer t4s-drawer__left t4s-d-lg-none" aria-hidden="true">
+     <div class="t4s-skeleton-element ske-h-50 ske-mb-20 ske-shine"></div>
+     <div class="t4s-skeleton-element ske-mrl-20 ske-shine"></div><div class="t4s-skeleton-element ske-mrl-20 ske-shine"></div><div class="t4s-skeleton-element ske-mrl-20 ske-shine"></div><div class="t4s-skeleton-element ske-mrl-20 ske-shine"></div><div class="t4s-skeleton-element ske-mrl-20 ske-shine"></div>
+     <div class="t4s-skeleton-element ske-mrl-20 ske-shine"></div><div class="t4s-skeleton-element ske-mrl-20 ske-shine"></div><div class="t4s-skeleton-element ske-mrl-20 ske-shine"></div><div class="t4s-skeleton-element ske-mrl-20 ske-shine"></div><div class="t4s-skeleton-element ske-mrl-20 ske-shine"></div>
+   </div>
+   <button class="t4s-drawer-menu__close t4s-pe-none t4s-op-0 t4s-pf" data-drawer-close="" aria-label="Close menu, categories"><svg class="t4s-iconsvg-close" role="presentation" viewBox="0 0 16 14"><path d="M15 0L1 14m14 0L1 0" stroke="currentColor" fill="none" fill-rule="evenodd"></path></svg></button><link href="//shooz.pk/cdn/shop/t/7/assets/mini-cart.css?v=118877294164861201271716281116" rel="stylesheet" media="all" onload="this.media='all'">
+<div data-cart-wrapper="" id="t4s-mini_cart" data-ccount="0" class="t4s-drawer t4s-drawer__right t4s-dn" aria-hidden="true"><link href="//shooz.pk/cdn/shop/t/7/assets/button-style.css?v=14410007395220421991716281114" rel="stylesheet" type="text/css" media="all">
+<link href="//shooz.pk/cdn/shop/t/7/assets/custom-effect.css?v=68323854132956845141716281115" rel="stylesheet" media="all" onload="this.media='all'"><svg class="t4s-d-none">
+<symbol id="icon-cart-remove" viewBox="0 0 24 24" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round">
+  <polyline points="3 6 5 6 21 6"></polyline><path d="M19 6v14a2 2 0 0 1-2 2H7a2 2 0 0 1-2-2V6m3 0V4a2 2 0 0 1 2-2h4a2 2 0 0 1 2 2v2"></path><line x1="10" y1="11" x2="10" y2="17"></line><line x1="14" y1="11" x2="14" y2="17"></line>
+</symbol>
+<symbol id="icon-cart-edit" viewBox="0 0 24 24" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round">
+  <path d="M11 4H4a2 2 0 0 0-2 2v14a2 2 0 0 0 2 2h14a2 2 0 0 0 2-2v-7"></path><path d="M18.5 2.5a2.121 2.121 0 0 1 3 3L12 15l-4 1 1-4 9.5-9.5z"></path>
+</symbol>
+<symbol id="icon-cart-tag" viewBox="0 0 448 512">
+  <path d="M48 32H197.5C214.5 32 230.7 38.74 242.7 50.75L418.7 226.7C443.7 251.7 443.7 292.3 418.7 317.3L285.3 450.7C260.3 475.7 219.7 475.7 194.7 450.7L18.75 274.7C6.743 262.7 0 246.5 0 229.5V80C0 53.49 21.49 32 48 32L48 32zM112 176C129.7 176 144 161.7 144 144C144 126.3 129.7 112 112 112C94.33 112 80 126.3 80 144C80 161.7 94.33 176 112 176z"></path>
+</symbol>
+<symbol id="icon-cart-spinner" viewBox="0 0 66 66">
+  <circle class="t4s-path" fill="none" stroke-width="6" cx="33" cy="33" r="30"></circle>
+</symbol>
+<symbol id="icon-cart-check" viewBox="0 0 448 512">
+  <path d="M443.3 100.7C449.6 106.9 449.6 117.1 443.3 123.3L171.3 395.3C165.1 401.6 154.9 401.6 148.7 395.3L4.686 251.3C-1.562 245.1-1.562 234.9 4.686 228.7C10.93 222.4 21.06 222.4 27.31 228.7L160 361.4L420.7 100.7C426.9 94.44 437.1 94.44 443.3 100.7H443.3z"></path>
+</symbol>
+<symbol id="icon-cart-selected" viewBox="0 0 24 24">
+<path d="M9 20l-7-7 3-3 4 4L19 4l3 3z"></path>
+</symbol>
+</svg><div class="t4s-drawer__header"><span>Shopping cart</span><button class="t4s-drawer__close" data-drawer-close="" aria-label="Close Cart"><svg class="t4s-iconsvg-close" role="presentation" viewBox="0 0 16 14"><path d="M15 0L1 14m14 0L1 0" stroke="currentColor" fill="none" fill-rule="evenodd"></path></svg></button></div><form action="/cart" method="post" novalidate="" class="t4s-drawer__wrap">
+      <input type="hidden" data-cart-attr-rm="" name="attributes[collection_items_per_row]" value=""><input type="hidden" data-cart-discount="" name="discount" value=""><div class="t4s-drawer__main">
+      <div data-t4s-scroll-me="" class="t4s-drawer__scroll t4s-current-scrollbar">
+         <div class="t4s-cookie-message t4s-dn">Enable cookies to use the shopping cart</div><div data-cart-items="" class="t4s-mini_cart__items t4s_ratioadapt t4s-product"><style>
+                  #t4s-mini_cart .t4s-drawer__bottom {
+                      opacity: 0;
+                      -webkit-transform: translateY(45px);
+                      transform: translateY(45px);
+                      -webkit-transition: opacity .25s cubic-bezier(.25,.46,.45,.94),-webkit-transform .25s cubic-bezier(.25,.46,.45,.94);
+                      transition: opacity .25s cubic-bezier(.25,.46,.45,.94),transform .25s cubic-bezier(.25,.46,.45,.94),-webkit-transform .25s cubic-bezier(.25,.46,.45,.94);
+                   }
+               </style> 
+               <div class="t4s-mini_cart__emty">
+                  <svg id="icon-cart-emty" widht="50" height="50" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 576 512"><path d="M263.4 103.4C269.7 97.18 279.8 97.18 286.1 103.4L320 137.4L353.9 103.4C360.2 97.18 370.3 97.18 376.6 103.4C382.8 109.7 382.8 119.8 376.6 126.1L342.6 160L376.6 193.9C382.8 200.2 382.8 210.3 376.6 216.6C370.3 222.8 360.2 222.8 353.9 216.6L320 182.6L286.1 216.6C279.8 222.8 269.7 222.8 263.4 216.6C257.2 210.3 257.2 200.2 263.4 193.9L297.4 160L263.4 126.1C257.2 119.8 257.2 109.7 263.4 103.4zM80 0C87.47 0 93.95 5.17 95.6 12.45L100 32H541.8C562.1 32 578.3 52.25 572.6 72.66L518.6 264.7C514.7 278.5 502.1 288 487.8 288H158.2L172.8 352H496C504.8 352 512 359.2 512 368C512 376.8 504.8 384 496 384H160C152.5 384 146.1 378.8 144.4 371.5L67.23 32H16C7.164 32 0 24.84 0 16C0 7.164 7.164 0 16 0H80zM107.3 64L150.1 256H487.8L541.8 64H107.3zM128 456C128 425.1 153.1 400 184 400C214.9 400 240 425.1 240 456C240 486.9 214.9 512 184 512C153.1 512 128 486.9 128 456zM184 480C197.3 480 208 469.3 208 456C208 442.7 197.3 432 184 432C170.7 432 160 442.7 160 456C160 469.3 170.7 480 184 480zM512 456C512 486.9 486.9 512 456 512C425.1 512 400 486.9 400 456C400 425.1 425.1 400 456 400C486.9 400 512 425.1 512 456zM456 432C442.7 432 432 442.7 432 456C432 469.3 442.7 480 456 480C469.3 480 480 469.3 480 456C480 442.7 469.3 432 456 432z"></path></svg>
+                  <p>Your cart is empty.</p><p class="t4s-return-to-shop"><a data-loading-bar="" class="t4s-btn-cart__emty t4s-btn t4s-btn-base t4s-btn-style-default t4s-btn-color-primary t4s-btn-effect-fade t4s-justify-content-center t4s-truncate" href="/collections/all">Return To Shop</a></p></div></div><div data-cart-tools="" class="t4s-when-cart-emty t4s-mini_cart__tool t4s-mini_cart__tool_icon t4s-text-center"><div data-tooltip="top" title="Describe About Your Requirements Like Color, Size  " data-cart-tool_action="" data-id="note" class="mini_cart_tool_btn is--note is--addNote t4s-tooltip-actived">
+          <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 32 32"><path d="M 16 3 C 14.742188 3 13.847656 3.890625 13.40625 5 L 6 5 L 6 28 L 26 28 L 26 5 L 18.59375 5 C 18.152344 3.890625 17.257813 3 16 3 Z M 16 5 C 16.554688 5 17 5.445313 17 6 L 17 7 L 20 7 L 20 9 L 12 9 L 12 7 L 15 7 L 15 6 C 15 5.445313 15.445313 5 16 5 Z M 8 7 L 10 7 L 10 11 L 22 11 L 22 7 L 24 7 L 24 26 L 8 26 Z"></path></svg>
+         </div>
+         <div data-tooltip="top" title="Edit Order Note" data-cart-tool_action="" data-id="note" class="mini_cart_tool_btn is--note is--editNote t4s-d-none t4s-tooltip-actived">
+          <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 32 32"><path d="M 16 2 C 14.74 2 13.850156 2.89 13.410156 4 L 5 4 L 5 29 L 27 29 L 27 4 L 18.589844 4 C 18.149844 2.89 17.26 2 16 2 z M 16 4 C 16.55 4 17 4.45 17 5 L 17 6 L 20 6 L 20 8 L 12 8 L 12 6 L 15 6 L 15 5 C 15 4.45 15.45 4 16 4 z M 7 6 L 10 6 L 10 10 L 22 10 L 22 6 L 25 6 L 25 27 L 7 27 L 7 6 z M 9 13 L 9 15 L 11 15 L 11 13 L 9 13 z M 13 13 L 13 15 L 23 15 L 23 13 L 13 13 z M 9 17 L 9 19 L 11 19 L 11 17 L 9 17 z M 13 17 L 13 19 L 23 19 L 23 17 L 13 17 z M 9 21 L 9 23 L 11 23 L 11 21 L 9 21 z M 13 21 L 13 23 L 23 23 L 23 21 L 13 21 z"></path></svg>
+        </div><div data-tooltip="top" title="Estimate" data-cart-tool_action="" data-id="rates" class="mini_cart_tool_btn is--rates t4s-tooltip-actived"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 32 32"><path d="M 1 4 L 1 25 L 4.15625 25 C 4.601563 26.71875 6.148438 28 8 28 C 9.851563 28 11.398438 26.71875 11.84375 25 L 20.15625 25 C 20.601563 26.71875 22.148438 28 24 28 C 25.851563 28 27.398438 26.71875 27.84375 25 L 31 25 L 31 14.59375 L 30.71875 14.28125 L 24.71875 8.28125 L 24.40625 8 L 19 8 L 19 4 Z M 3 6 L 17 6 L 17 23 L 11.84375 23 C 11.398438 21.28125 9.851563 20 8 20 C 6.148438 20 4.601563 21.28125 4.15625 23 L 3 23 Z M 19 10 L 23.5625 10 L 29 15.4375 L 29 23 L 27.84375 23 C 27.398438 21.28125 25.851563 20 24 20 C 22.148438 20 20.601563 21.28125 20.15625 23 L 19 23 Z M 8 22 C 9.117188 22 10 22.882813 10 24 C 10 25.117188 9.117188 26 8 26 C 6.882813 26 6 25.117188 6 24 C 6 22.882813 6.882813 22 8 22 Z M 24 22 C 25.117188 22 26 22.882813 26 24 C 26 25.117188 25.117188 26 24 26 C 22.882813 26 22 25.117188 22 24 C 22 22.882813 22.882813 22 24 22 Z"></path></svg></div><div data-tooltip="top" title="Add A Coupon" data-cart-tool_action="" data-id="discount" class="mini_cart_tool_btn is--discount t4s-tooltip-actived"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 32 32"><path d="M 16 5 L 15.6875 5.28125 L 4.28125 16.8125 L 3.59375 17.5 L 4.28125 18.21875 L 13.78125 27.71875 L 14.5 28.40625 L 15.1875 27.71875 L 26.71875 16.3125 L 27 16 L 27 5 Z M 16.84375 7 L 25 7 L 25 15.15625 L 14.5 25.59375 L 6.40625 17.5 Z M 22 9 C 21.449219 9 21 9.449219 21 10 C 21 10.550781 21.449219 11 22 11 C 22.550781 11 23 10.550781 23 10 C 23 9.449219 22.550781 9 22 9 Z"></path></svg></div></div><div class="t4s-when-cart-emty" data-cart-upsell-options="{ &quot;baseurl&quot;:&quot;/recommendations/products&quot;, &quot;limit&quot;:5, &quot;product_id&quot;:19041994, &quot;section_id&quot;: &quot;mini_cart_upsell&quot; }"></div></div>
+      </div>
+      <div class="t4s-drawer__bottom">
+         <div data-cart-discounts=""></div><div class="t4s-cart-total t4s-row t4s-gx-5 t4s-gy-0 t4s-align-items-center t4s-justify-content-between">
+                     <div class="t4s-col-auto"><strong>Subtotal:</strong></div>
+                     <div data-cart-prices="" class="t4s-col-auto t4s-text-right"><div class="t4s-cart__totalPrice">Rs.0.00 PKR</div>
+                     </div>
+                  </div><a href="/cart" data-loading-bar="" class="t4s-btn__cart t4s-btn t4s-btn-base t4s-btn-style-default t4s-btn-color-custom2 t4s-btn-effect-default t4s-w-100 t4s-justify-content-center t4s-truncate">View cart </a><button type="submit" data-loading-bar="" data-confirm="ck_lumise" name="checkout" class="t4s-btn__checkout t4s-btn t4s-btn-base t4s-btn-style-default t4s-btn-color-primary t4s-btn-effect-default t4s-w-100 t4s-justify-content-center t4s-truncate">Check Out </button></div>
+   </form><div class="t4s-mini_cart-tool__content is--note t4s-pe-none">             
+      <label for="CartSpecialInstructions" class="t4s-d-block"><span class="t4s-txt_add_note ">Describe About Your Requirements Like Color, Size  </span><span class="t4s-txt_edit_note t4s-d-none">Edit Order Note</span></label>
+      <textarea name="note" data-opend-focus="" id="CartSpecialInstructions" placeholder="How can we help you?"></textarea>
+      <p><button type="button" data-cart-tool_close="" class="t4s-mini_cart-tool__primary">Save</button></p>
+      <p><button type="button" data-cart-tool_close="" class="t4s-mini_cart-tool__back">Cancel</button></p>
+   </div><div class="t4s-mini_cart-tool__content is--rates t4s-pe-none">
+      <div class="t4s-mini_cart-tool__wrap" data-estimate-shipping-wrap="" data-id="mini_cart">
+        <span class="t4s-mini_cart-tool__text">Estimate shipping</span>
+          <div class="t4s-field">
+            <label for="ShippingCountry_mini_cart">Country</label>
+            <select id="ShippingCountry_mini_cart" name="country" data-default="United States"><option value="Pakistan" data-provinces="[]">Pakistan</option>
+<option value="---" data-provinces="[]">---</option>
+<option value="Afghanistan" data-provinces="[]">Afghanistan</option>
+<option value="Aland Islands" data-provinces="[]">Åland Islands</option>
+<option value="Albania" data-provinces="[]">Albania</option>
+<option value="Algeria" data-provinces="[]">Algeria</option>
+<option value="Andorra" data-provinces="[]">Andorra</option>
+<option value="Angola" data-provinces="[]">Angola</option>
+<option value="Anguilla" data-provinces="[]">Anguilla</option>
+<option value="Antigua And Barbuda" data-provinces="[]">Antigua &amp; Barbuda</option>
+<option value="Argentina" data-provinces="[[&quot;Buenos Aires&quot;,&quot;Buenos Aires Province&quot;],[&quot;Catamarca&quot;,&quot;Catamarca&quot;],[&quot;Chaco&quot;,&quot;Chaco&quot;],[&quot;Chubut&quot;,&quot;Chubut&quot;],[&quot;Ciudad Autónoma de Buenos Aires&quot;,&quot;Buenos Aires (Autonomous City)&quot;],[&quot;Corrientes&quot;,&quot;Corrientes&quot;],[&quot;Córdoba&quot;,&quot;Córdoba&quot;],[&quot;Entre Ríos&quot;,&quot;Entre Ríos&quot;],[&quot;Formosa&quot;,&quot;Formosa&quot;],[&quot;Jujuy&quot;,&quot;Jujuy&quot;],[&quot;La Pampa&quot;,&quot;La Pampa&quot;],[&quot;La Rioja&quot;,&quot;La Rioja&quot;],[&quot;Mendoza&quot;,&quot;Mendoza&quot;],[&quot;Misiones&quot;,&quot;Misiones&quot;],[&quot;Neuquén&quot;,&quot;Neuquén&quot;],[&quot;Río Negro&quot;,&quot;Río Negro&quot;],[&quot;Salta&quot;,&quot;Salta&quot;],[&quot;San Juan&quot;,&quot;San Juan&quot;],[&quot;San Luis&quot;,&quot;San Luis&quot;],[&quot;Santa Cruz&quot;,&quot;Santa Cruz&quot;],[&quot;Santa Fe&quot;,&quot;Santa Fe&quot;],[&quot;Santiago Del Estero&quot;,&quot;Santiago del Estero&quot;],[&quot;Tierra Del Fuego&quot;,&quot;Tierra del Fuego&quot;],[&quot;Tucumán&quot;,&quot;Tucumán&quot;]]">Argentina</option>
+<option value="Armenia" data-provinces="[]">Armenia</option>
+<option value="Aruba" data-provinces="[]">Aruba</option>
+<option value="Ascension Island" data-provinces="[]">Ascension Island</option>
+<option value="Australia" data-provinces="[[&quot;Australian Capital Territory&quot;,&quot;Australian Capital Territory&quot;],[&quot;New South Wales&quot;,&quot;New South Wales&quot;],[&quot;Northern Territory&quot;,&quot;Northern Territory&quot;],[&quot;Queensland&quot;,&quot;Queensland&quot;],[&quot;South Australia&quot;,&quot;South Australia&quot;],[&quot;Tasmania&quot;,&quot;Tasmania&quot;],[&quot;Victoria&quot;,&quot;Victoria&quot;],[&quot;Western Australia&quot;,&quot;Western Australia&quot;]]">Australia</option>
+<option value="Austria" data-provinces="[]">Austria</option>
+<option value="Azerbaijan" data-provinces="[]">Azerbaijan</option>
+<option value="Bahamas" data-provinces="[]">Bahamas</option>
+<option value="Bahrain" data-provinces="[]">Bahrain</option>
+<option value="Bangladesh" data-provinces="[]">Bangladesh</option>
+<option value="Barbados" data-provinces="[]">Barbados</option>
+<option value="Belarus" data-provinces="[]">Belarus</option>
+<option value="Belgium" data-provinces="[]">Belgium</option>
+<option value="Belize" data-provinces="[]">Belize</option>
+<option value="Benin" data-provinces="[]">Benin</option>
+<option value="Bermuda" data-provinces="[]">Bermuda</option>
+<option value="Bhutan" data-provinces="[]">Bhutan</option>
+<option value="Bolivia" data-provinces="[]">Bolivia</option>
+<option value="Bosnia And Herzegovina" data-provinces="[]">Bosnia &amp; Herzegovina</option>
+<option value="Botswana" data-provinces="[]">Botswana</option>
+<option value="Brazil" data-provinces="[[&quot;Acre&quot;,&quot;Acre&quot;],[&quot;Alagoas&quot;,&quot;Alagoas&quot;],[&quot;Amapá&quot;,&quot;Amapá&quot;],[&quot;Amazonas&quot;,&quot;Amazonas&quot;],[&quot;Bahia&quot;,&quot;Bahia&quot;],[&quot;Ceará&quot;,&quot;Ceará&quot;],[&quot;Distrito Federal&quot;,&quot;Federal District&quot;],[&quot;Espírito Santo&quot;,&quot;Espírito Santo&quot;],[&quot;Goiás&quot;,&quot;Goiás&quot;],[&quot;Maranhão&quot;,&quot;Maranhão&quot;],[&quot;Mato Grosso&quot;,&quot;Mato Grosso&quot;],[&quot;Mato Grosso do Sul&quot;,&quot;Mato Grosso do Sul&quot;],[&quot;Minas Gerais&quot;,&quot;Minas Gerais&quot;],[&quot;Paraná&quot;,&quot;Paraná&quot;],[&quot;Paraíba&quot;,&quot;Paraíba&quot;],[&quot;Pará&quot;,&quot;Pará&quot;],[&quot;Pernambuco&quot;,&quot;Pernambuco&quot;],[&quot;Piauí&quot;,&quot;Piauí&quot;],[&quot;Rio Grande do Norte&quot;,&quot;Rio Grande do Norte&quot;],[&quot;Rio Grande do Sul&quot;,&quot;Rio Grande do Sul&quot;],[&quot;Rio de Janeiro&quot;,&quot;Rio de Janeiro&quot;],[&quot;Rondônia&quot;,&quot;Rondônia&quot;],[&quot;Roraima&quot;,&quot;Roraima&quot;],[&quot;Santa Catarina&quot;,&quot;Santa Catarina&quot;],[&quot;Sergipe&quot;,&quot;Sergipe&quot;],[&quot;São Paulo&quot;,&quot;São Paulo&quot;],[&quot;Tocantins&quot;,&quot;Tocantins&quot;]]">Brazil</option>
+<option value="British Indian Ocean Territory" data-provinces="[]">British Indian Ocean Territory</option>
+<option value="Virgin Islands, British" data-provinces="[]">British Virgin Islands</option>
+<option value="Brunei" data-provinces="[]">Brunei</option>
+<option value="Bulgaria" data-provinces="[]">Bulgaria</option>
+<option value="Burkina Faso" data-provinces="[]">Burkina Faso</option>
+<option value="Burundi" data-provinces="[]">Burundi</option>
+<option value="Cambodia" data-provinces="[]">Cambodia</option>
+<option value="Republic of Cameroon" data-provinces="[]">Cameroon</option>
+<option value="Canada" data-provinces="[[&quot;Alberta&quot;,&quot;Alberta&quot;],[&quot;British Columbia&quot;,&quot;British Columbia&quot;],[&quot;Manitoba&quot;,&quot;Manitoba&quot;],[&quot;New Brunswick&quot;,&quot;New Brunswick&quot;],[&quot;Newfoundland and Labrador&quot;,&quot;Newfoundland and Labrador&quot;],[&quot;Northwest Territories&quot;,&quot;Northwest Territories&quot;],[&quot;Nova Scotia&quot;,&quot;Nova Scotia&quot;],[&quot;Nunavut&quot;,&quot;Nunavut&quot;],[&quot;Ontario&quot;,&quot;Ontario&quot;],[&quot;Prince Edward Island&quot;,&quot;Prince Edward Island&quot;],[&quot;Quebec&quot;,&quot;Quebec&quot;],[&quot;Saskatchewan&quot;,&quot;Saskatchewan&quot;],[&quot;Yukon&quot;,&quot;Yukon&quot;]]">Canada</option>
+<option value="Cape Verde" data-provinces="[]">Cape Verde</option>
+<option value="Caribbean Netherlands" data-provinces="[]">Caribbean Netherlands</option>
+<option value="Cayman Islands" data-provinces="[]">Cayman Islands</option>
+<option value="Central African Republic" data-provinces="[]">Central African Republic</option>
+<option value="Chad" data-provinces="[]">Chad</option>
+<option value="Chile" data-provinces="[[&quot;Antofagasta&quot;,&quot;Antofagasta&quot;],[&quot;Araucanía&quot;,&quot;Araucanía&quot;],[&quot;Arica and Parinacota&quot;,&quot;Arica y Parinacota&quot;],[&quot;Atacama&quot;,&quot;Atacama&quot;],[&quot;Aysén&quot;,&quot;Aysén&quot;],[&quot;Biobío&quot;,&quot;Bío Bío&quot;],[&quot;Coquimbo&quot;,&quot;Coquimbo&quot;],[&quot;Los Lagos&quot;,&quot;Los Lagos&quot;],[&quot;Los Ríos&quot;,&quot;Los Ríos&quot;],[&quot;Magallanes&quot;,&quot;Magallanes Region&quot;],[&quot;Maule&quot;,&quot;Maule&quot;],[&quot;O'Higgins&quot;,&quot;Libertador General Bernardo O’Higgins&quot;],[&quot;Santiago&quot;,&quot;Santiago Metropolitan&quot;],[&quot;Tarapacá&quot;,&quot;Tarapacá&quot;],[&quot;Valparaíso&quot;,&quot;Valparaíso&quot;],[&quot;Ñuble&quot;,&quot;Ñuble&quot;]]">Chile</option>
+<option value="China" data-provinces="[[&quot;Anhui&quot;,&quot;Anhui&quot;],[&quot;Beijing&quot;,&quot;Beijing&quot;],[&quot;Chongqing&quot;,&quot;Chongqing&quot;],[&quot;Fujian&quot;,&quot;Fujian&quot;],[&quot;Gansu&quot;,&quot;Gansu&quot;],[&quot;Guangdong&quot;,&quot;Guangdong&quot;],[&quot;Guangxi&quot;,&quot;Guangxi&quot;],[&quot;Guizhou&quot;,&quot;Guizhou&quot;],[&quot;Hainan&quot;,&quot;Hainan&quot;],[&quot;Hebei&quot;,&quot;Hebei&quot;],[&quot;Heilongjiang&quot;,&quot;Heilongjiang&quot;],[&quot;Henan&quot;,&quot;Henan&quot;],[&quot;Hubei&quot;,&quot;Hubei&quot;],[&quot;Hunan&quot;,&quot;Hunan&quot;],[&quot;Inner Mongolia&quot;,&quot;Inner Mongolia&quot;],[&quot;Jiangsu&quot;,&quot;Jiangsu&quot;],[&quot;Jiangxi&quot;,&quot;Jiangxi&quot;],[&quot;Jilin&quot;,&quot;Jilin&quot;],[&quot;Liaoning&quot;,&quot;Liaoning&quot;],[&quot;Ningxia&quot;,&quot;Ningxia&quot;],[&quot;Qinghai&quot;,&quot;Qinghai&quot;],[&quot;Shaanxi&quot;,&quot;Shaanxi&quot;],[&quot;Shandong&quot;,&quot;Shandong&quot;],[&quot;Shanghai&quot;,&quot;Shanghai&quot;],[&quot;Shanxi&quot;,&quot;Shanxi&quot;],[&quot;Sichuan&quot;,&quot;Sichuan&quot;],[&quot;Tianjin&quot;,&quot;Tianjin&quot;],[&quot;Xinjiang&quot;,&quot;Xinjiang&quot;],[&quot;Xizang&quot;,&quot;Tibet&quot;],[&quot;Yunnan&quot;,&quot;Yunnan&quot;],[&quot;Zhejiang&quot;,&quot;Zhejiang&quot;]]">China</option>
+<option value="Christmas Island" data-provinces="[]">Christmas Island</option>
+<option value="Cocos (Keeling) Islands" data-provinces="[]">Cocos (Keeling) Islands</option>
+<option value="Colombia" data-provinces="[[&quot;Amazonas&quot;,&quot;Amazonas&quot;],[&quot;Antioquia&quot;,&quot;Antioquia&quot;],[&quot;Arauca&quot;,&quot;Arauca&quot;],[&quot;Atlántico&quot;,&quot;Atlántico&quot;],[&quot;Bogotá, D.C.&quot;,&quot;Capital District&quot;],[&quot;Bolívar&quot;,&quot;Bolívar&quot;],[&quot;Boyacá&quot;,&quot;Boyacá&quot;],[&quot;Caldas&quot;,&quot;Caldas&quot;],[&quot;Caquetá&quot;,&quot;Caquetá&quot;],[&quot;Casanare&quot;,&quot;Casanare&quot;],[&quot;Cauca&quot;,&quot;Cauca&quot;],[&quot;Cesar&quot;,&quot;Cesar&quot;],[&quot;Chocó&quot;,&quot;Chocó&quot;],[&quot;Cundinamarca&quot;,&quot;Cundinamarca&quot;],[&quot;Córdoba&quot;,&quot;Córdoba&quot;],[&quot;Guainía&quot;,&quot;Guainía&quot;],[&quot;Guaviare&quot;,&quot;Guaviare&quot;],[&quot;Huila&quot;,&quot;Huila&quot;],[&quot;La Guajira&quot;,&quot;La Guajira&quot;],[&quot;Magdalena&quot;,&quot;Magdalena&quot;],[&quot;Meta&quot;,&quot;Meta&quot;],[&quot;Nariño&quot;,&quot;Nariño&quot;],[&quot;Norte de Santander&quot;,&quot;Norte de Santander&quot;],[&quot;Putumayo&quot;,&quot;Putumayo&quot;],[&quot;Quindío&quot;,&quot;Quindío&quot;],[&quot;Risaralda&quot;,&quot;Risaralda&quot;],[&quot;San Andrés, Providencia y Santa Catalina&quot;,&quot;San Andrés \u0026 Providencia&quot;],[&quot;Santander&quot;,&quot;Santander&quot;],[&quot;Sucre&quot;,&quot;Sucre&quot;],[&quot;Tolima&quot;,&quot;Tolima&quot;],[&quot;Valle del Cauca&quot;,&quot;Valle del Cauca&quot;],[&quot;Vaupés&quot;,&quot;Vaupés&quot;],[&quot;Vichada&quot;,&quot;Vichada&quot;]]">Colombia</option>
+<option value="Comoros" data-provinces="[]">Comoros</option>
+<option value="Congo" data-provinces="[]">Congo - Brazzaville</option>
+<option value="Congo, The Democratic Republic Of The" data-provinces="[]">Congo - Kinshasa</option>
+<option value="Cook Islands" data-provinces="[]">Cook Islands</option>
+<option value="Costa Rica" data-provinces="[[&quot;Alajuela&quot;,&quot;Alajuela&quot;],[&quot;Cartago&quot;,&quot;Cartago&quot;],[&quot;Guanacaste&quot;,&quot;Guanacaste&quot;],[&quot;Heredia&quot;,&quot;Heredia&quot;],[&quot;Limón&quot;,&quot;Limón&quot;],[&quot;Puntarenas&quot;,&quot;Puntarenas&quot;],[&quot;San José&quot;,&quot;San José&quot;]]">Costa Rica</option>
+<option value="Croatia" data-provinces="[]">Croatia</option>
+<option value="Curaçao" data-provinces="[]">Curaçao</option>
+<option value="Cyprus" data-provinces="[]">Cyprus</option>
+<option value="Czech Republic" data-provinces="[]">Czechia</option>
+<option value="Côte d'Ivoire" data-provinces="[]">Côte d’Ivoire</option>
+<option value="Denmark" data-provinces="[]">Denmark</option>
+<option value="Djibouti" data-provinces="[]">Djibouti</option>
+<option value="Dominica" data-provinces="[]">Dominica</option>
+<option value="Dominican Republic" data-provinces="[]">Dominican Republic</option>
+<option value="Ecuador" data-provinces="[]">Ecuador</option>
+<option value="Egypt" data-provinces="[[&quot;6th of October&quot;,&quot;6th of October&quot;],[&quot;Al Sharqia&quot;,&quot;Al Sharqia&quot;],[&quot;Alexandria&quot;,&quot;Alexandria&quot;],[&quot;Aswan&quot;,&quot;Aswan&quot;],[&quot;Asyut&quot;,&quot;Asyut&quot;],[&quot;Beheira&quot;,&quot;Beheira&quot;],[&quot;Beni Suef&quot;,&quot;Beni Suef&quot;],[&quot;Cairo&quot;,&quot;Cairo&quot;],[&quot;Dakahlia&quot;,&quot;Dakahlia&quot;],[&quot;Damietta&quot;,&quot;Damietta&quot;],[&quot;Faiyum&quot;,&quot;Faiyum&quot;],[&quot;Gharbia&quot;,&quot;Gharbia&quot;],[&quot;Giza&quot;,&quot;Giza&quot;],[&quot;Helwan&quot;,&quot;Helwan&quot;],[&quot;Ismailia&quot;,&quot;Ismailia&quot;],[&quot;Kafr el-Sheikh&quot;,&quot;Kafr el-Sheikh&quot;],[&quot;Luxor&quot;,&quot;Luxor&quot;],[&quot;Matrouh&quot;,&quot;Matrouh&quot;],[&quot;Minya&quot;,&quot;Minya&quot;],[&quot;Monufia&quot;,&quot;Monufia&quot;],[&quot;New Valley&quot;,&quot;New Valley&quot;],[&quot;North Sinai&quot;,&quot;North Sinai&quot;],[&quot;Port Said&quot;,&quot;Port Said&quot;],[&quot;Qalyubia&quot;,&quot;Qalyubia&quot;],[&quot;Qena&quot;,&quot;Qena&quot;],[&quot;Red Sea&quot;,&quot;Red Sea&quot;],[&quot;Sohag&quot;,&quot;Sohag&quot;],[&quot;South Sinai&quot;,&quot;South Sinai&quot;],[&quot;Suez&quot;,&quot;Suez&quot;]]">Egypt</option>
+<option value="El Salvador" data-provinces="[[&quot;Ahuachapán&quot;,&quot;Ahuachapán&quot;],[&quot;Cabañas&quot;,&quot;Cabañas&quot;],[&quot;Chalatenango&quot;,&quot;Chalatenango&quot;],[&quot;Cuscatlán&quot;,&quot;Cuscatlán&quot;],[&quot;La Libertad&quot;,&quot;La Libertad&quot;],[&quot;La Paz&quot;,&quot;La Paz&quot;],[&quot;La Unión&quot;,&quot;La Unión&quot;],[&quot;Morazán&quot;,&quot;Morazán&quot;],[&quot;San Miguel&quot;,&quot;San Miguel&quot;],[&quot;San Salvador&quot;,&quot;San Salvador&quot;],[&quot;San Vicente&quot;,&quot;San Vicente&quot;],[&quot;Santa Ana&quot;,&quot;Santa Ana&quot;],[&quot;Sonsonate&quot;,&quot;Sonsonate&quot;],[&quot;Usulután&quot;,&quot;Usulután&quot;]]">El Salvador</option>
+<option value="Equatorial Guinea" data-provinces="[]">Equatorial Guinea</option>
+<option value="Eritrea" data-provinces="[]">Eritrea</option>
+<option value="Estonia" data-provinces="[]">Estonia</option>
+<option value="Eswatini" data-provinces="[]">Eswatini</option>
+<option value="Ethiopia" data-provinces="[]">Ethiopia</option>
+<option value="Falkland Islands (Malvinas)" data-provinces="[]">Falkland Islands</option>
+<option value="Faroe Islands" data-provinces="[]">Faroe Islands</option>
+<option value="Fiji" data-provinces="[]">Fiji</option>
+<option value="Finland" data-provinces="[]">Finland</option>
+<option value="France" data-provinces="[]">France</option>
+<option value="French Guiana" data-provinces="[]">French Guiana</option>
+<option value="French Polynesia" data-provinces="[]">French Polynesia</option>
+<option value="French Southern Territories" data-provinces="[]">French Southern Territories</option>
+<option value="Gabon" data-provinces="[]">Gabon</option>
+<option value="Gambia" data-provinces="[]">Gambia</option>
+<option value="Georgia" data-provinces="[]">Georgia</option>
+<option value="Germany" data-provinces="[]">Germany</option>
+<option value="Ghana" data-provinces="[]">Ghana</option>
+<option value="Gibraltar" data-provinces="[]">Gibraltar</option>
+<option value="Greece" data-provinces="[]">Greece</option>
+<option value="Greenland" data-provinces="[]">Greenland</option>
+<option value="Grenada" data-provinces="[]">Grenada</option>
+<option value="Guadeloupe" data-provinces="[]">Guadeloupe</option>
+<option value="Guatemala" data-provinces="[[&quot;Alta Verapaz&quot;,&quot;Alta Verapaz&quot;],[&quot;Baja Verapaz&quot;,&quot;Baja Verapaz&quot;],[&quot;Chimaltenango&quot;,&quot;Chimaltenango&quot;],[&quot;Chiquimula&quot;,&quot;Chiquimula&quot;],[&quot;El Progreso&quot;,&quot;El Progreso&quot;],[&quot;Escuintla&quot;,&quot;Escuintla&quot;],[&quot;Guatemala&quot;,&quot;Guatemala&quot;],[&quot;Huehuetenango&quot;,&quot;Huehuetenango&quot;],[&quot;Izabal&quot;,&quot;Izabal&quot;],[&quot;Jalapa&quot;,&quot;Jalapa&quot;],[&quot;Jutiapa&quot;,&quot;Jutiapa&quot;],[&quot;Petén&quot;,&quot;Petén&quot;],[&quot;Quetzaltenango&quot;,&quot;Quetzaltenango&quot;],[&quot;Quiché&quot;,&quot;Quiché&quot;],[&quot;Retalhuleu&quot;,&quot;Retalhuleu&quot;],[&quot;Sacatepéquez&quot;,&quot;Sacatepéquez&quot;],[&quot;San Marcos&quot;,&quot;San Marcos&quot;],[&quot;Santa Rosa&quot;,&quot;Santa Rosa&quot;],[&quot;Sololá&quot;,&quot;Sololá&quot;],[&quot;Suchitepéquez&quot;,&quot;Suchitepéquez&quot;],[&quot;Totonicapán&quot;,&quot;Totonicapán&quot;],[&quot;Zacapa&quot;,&quot;Zacapa&quot;]]">Guatemala</option>
+<option value="Guernsey" data-provinces="[]">Guernsey</option>
+<option value="Guinea" data-provinces="[]">Guinea</option>
+<option value="Guinea Bissau" data-provinces="[]">Guinea-Bissau</option>
+<option value="Guyana" data-provinces="[]">Guyana</option>
+<option value="Haiti" data-provinces="[]">Haiti</option>
+<option value="Honduras" data-provinces="[]">Honduras</option>
+<option value="Hong Kong" data-provinces="[[&quot;Hong Kong Island&quot;,&quot;Hong Kong Island&quot;],[&quot;Kowloon&quot;,&quot;Kowloon&quot;],[&quot;New Territories&quot;,&quot;New Territories&quot;]]">Hong Kong SAR</option>
+<option value="Hungary" data-provinces="[]">Hungary</option>
+<option value="Iceland" data-provinces="[]">Iceland</option>
+<option value="India" data-provinces="[[&quot;Andaman and Nicobar Islands&quot;,&quot;Andaman and Nicobar Islands&quot;],[&quot;Andhra Pradesh&quot;,&quot;Andhra Pradesh&quot;],[&quot;Arunachal Pradesh&quot;,&quot;Arunachal Pradesh&quot;],[&quot;Assam&quot;,&quot;Assam&quot;],[&quot;Bihar&quot;,&quot;Bihar&quot;],[&quot;Chandigarh&quot;,&quot;Chandigarh&quot;],[&quot;Chhattisgarh&quot;,&quot;Chhattisgarh&quot;],[&quot;Dadra and Nagar Haveli&quot;,&quot;Dadra and Nagar Haveli&quot;],[&quot;Daman and Diu&quot;,&quot;Daman and Diu&quot;],[&quot;Delhi&quot;,&quot;Delhi&quot;],[&quot;Goa&quot;,&quot;Goa&quot;],[&quot;Gujarat&quot;,&quot;Gujarat&quot;],[&quot;Haryana&quot;,&quot;Haryana&quot;],[&quot;Himachal Pradesh&quot;,&quot;Himachal Pradesh&quot;],[&quot;Jammu and Kashmir&quot;,&quot;Jammu and Kashmir&quot;],[&quot;Jharkhand&quot;,&quot;Jharkhand&quot;],[&quot;Karnataka&quot;,&quot;Karnataka&quot;],[&quot;Kerala&quot;,&quot;Kerala&quot;],[&quot;Ladakh&quot;,&quot;Ladakh&quot;],[&quot;Lakshadweep&quot;,&quot;Lakshadweep&quot;],[&quot;Madhya Pradesh&quot;,&quot;Madhya Pradesh&quot;],[&quot;Maharashtra&quot;,&quot;Maharashtra&quot;],[&quot;Manipur&quot;,&quot;Manipur&quot;],[&quot;Meghalaya&quot;,&quot;Meghalaya&quot;],[&quot;Mizoram&quot;,&quot;Mizoram&quot;],[&quot;Nagaland&quot;,&quot;Nagaland&quot;],[&quot;Odisha&quot;,&quot;Odisha&quot;],[&quot;Puducherry&quot;,&quot;Puducherry&quot;],[&quot;Punjab&quot;,&quot;Punjab&quot;],[&quot;Rajasthan&quot;,&quot;Rajasthan&quot;],[&quot;Sikkim&quot;,&quot;Sikkim&quot;],[&quot;Tamil Nadu&quot;,&quot;Tamil Nadu&quot;],[&quot;Telangana&quot;,&quot;Telangana&quot;],[&quot;Tripura&quot;,&quot;Tripura&quot;],[&quot;Uttar Pradesh&quot;,&quot;Uttar Pradesh&quot;],[&quot;Uttarakhand&quot;,&quot;Uttarakhand&quot;],[&quot;West Bengal&quot;,&quot;West Bengal&quot;]]">India</option>
+<option value="Indonesia" data-provinces="[[&quot;Aceh&quot;,&quot;Aceh&quot;],[&quot;Bali&quot;,&quot;Bali&quot;],[&quot;Bangka Belitung&quot;,&quot;Bangka–Belitung Islands&quot;],[&quot;Banten&quot;,&quot;Banten&quot;],[&quot;Bengkulu&quot;,&quot;Bengkulu&quot;],[&quot;Gorontalo&quot;,&quot;Gorontalo&quot;],[&quot;Jakarta&quot;,&quot;Jakarta&quot;],[&quot;Jambi&quot;,&quot;Jambi&quot;],[&quot;Jawa Barat&quot;,&quot;West Java&quot;],[&quot;Jawa Tengah&quot;,&quot;Central Java&quot;],[&quot;Jawa Timur&quot;,&quot;East Java&quot;],[&quot;Kalimantan Barat&quot;,&quot;West Kalimantan&quot;],[&quot;Kalimantan Selatan&quot;,&quot;South Kalimantan&quot;],[&quot;Kalimantan Tengah&quot;,&quot;Central Kalimantan&quot;],[&quot;Kalimantan Timur&quot;,&quot;East Kalimantan&quot;],[&quot;Kalimantan Utara&quot;,&quot;North Kalimantan&quot;],[&quot;Kepulauan Riau&quot;,&quot;Riau Islands&quot;],[&quot;Lampung&quot;,&quot;Lampung&quot;],[&quot;Maluku&quot;,&quot;Maluku&quot;],[&quot;Maluku Utara&quot;,&quot;North Maluku&quot;],[&quot;North Sumatra&quot;,&quot;North Sumatra&quot;],[&quot;Nusa Tenggara Barat&quot;,&quot;West Nusa Tenggara&quot;],[&quot;Nusa Tenggara Timur&quot;,&quot;East Nusa Tenggara&quot;],[&quot;Papua&quot;,&quot;Papua&quot;],[&quot;Papua Barat&quot;,&quot;West Papua&quot;],[&quot;Riau&quot;,&quot;Riau&quot;],[&quot;South Sumatra&quot;,&quot;South Sumatra&quot;],[&quot;Sulawesi Barat&quot;,&quot;West Sulawesi&quot;],[&quot;Sulawesi Selatan&quot;,&quot;South Sulawesi&quot;],[&quot;Sulawesi Tengah&quot;,&quot;Central Sulawesi&quot;],[&quot;Sulawesi Tenggara&quot;,&quot;Southeast Sulawesi&quot;],[&quot;Sulawesi Utara&quot;,&quot;North Sulawesi&quot;],[&quot;West Sumatra&quot;,&quot;West Sumatra&quot;],[&quot;Yogyakarta&quot;,&quot;Yogyakarta&quot;]]">Indonesia</option>
+<option value="Iraq" data-provinces="[]">Iraq</option>
+<option value="Ireland" data-provinces="[[&quot;Carlow&quot;,&quot;Carlow&quot;],[&quot;Cavan&quot;,&quot;Cavan&quot;],[&quot;Clare&quot;,&quot;Clare&quot;],[&quot;Cork&quot;,&quot;Cork&quot;],[&quot;Donegal&quot;,&quot;Donegal&quot;],[&quot;Dublin&quot;,&quot;Dublin&quot;],[&quot;Galway&quot;,&quot;Galway&quot;],[&quot;Kerry&quot;,&quot;Kerry&quot;],[&quot;Kildare&quot;,&quot;Kildare&quot;],[&quot;Kilkenny&quot;,&quot;Kilkenny&quot;],[&quot;Laois&quot;,&quot;Laois&quot;],[&quot;Leitrim&quot;,&quot;Leitrim&quot;],[&quot;Limerick&quot;,&quot;Limerick&quot;],[&quot;Longford&quot;,&quot;Longford&quot;],[&quot;Louth&quot;,&quot;Louth&quot;],[&quot;Mayo&quot;,&quot;Mayo&quot;],[&quot;Meath&quot;,&quot;Meath&quot;],[&quot;Monaghan&quot;,&quot;Monaghan&quot;],[&quot;Offaly&quot;,&quot;Offaly&quot;],[&quot;Roscommon&quot;,&quot;Roscommon&quot;],[&quot;Sligo&quot;,&quot;Sligo&quot;],[&quot;Tipperary&quot;,&quot;Tipperary&quot;],[&quot;Waterford&quot;,&quot;Waterford&quot;],[&quot;Westmeath&quot;,&quot;Westmeath&quot;],[&quot;Wexford&quot;,&quot;Wexford&quot;],[&quot;Wicklow&quot;,&quot;Wicklow&quot;]]">Ireland</option>
+<option value="Isle Of Man" data-provinces="[]">Isle of Man</option>
+<option value="Israel" data-provinces="[]">Israel</option>
+<option value="Italy" data-provinces="[[&quot;Agrigento&quot;,&quot;Agrigento&quot;],[&quot;Alessandria&quot;,&quot;Alessandria&quot;],[&quot;Ancona&quot;,&quot;Ancona&quot;],[&quot;Aosta&quot;,&quot;Aosta Valley&quot;],[&quot;Arezzo&quot;,&quot;Arezzo&quot;],[&quot;Ascoli Piceno&quot;,&quot;Ascoli Piceno&quot;],[&quot;Asti&quot;,&quot;Asti&quot;],[&quot;Avellino&quot;,&quot;Avellino&quot;],[&quot;Bari&quot;,&quot;Bari&quot;],[&quot;Barletta-Andria-Trani&quot;,&quot;Barletta-Andria-Trani&quot;],[&quot;Belluno&quot;,&quot;Belluno&quot;],[&quot;Benevento&quot;,&quot;Benevento&quot;],[&quot;Bergamo&quot;,&quot;Bergamo&quot;],[&quot;Biella&quot;,&quot;Biella&quot;],[&quot;Bologna&quot;,&quot;Bologna&quot;],[&quot;Bolzano&quot;,&quot;South Tyrol&quot;],[&quot;Brescia&quot;,&quot;Brescia&quot;],[&quot;Brindisi&quot;,&quot;Brindisi&quot;],[&quot;Cagliari&quot;,&quot;Cagliari&quot;],[&quot;Caltanissetta&quot;,&quot;Caltanissetta&quot;],[&quot;Campobasso&quot;,&quot;Campobasso&quot;],[&quot;Carbonia-Iglesias&quot;,&quot;Carbonia-Iglesias&quot;],[&quot;Caserta&quot;,&quot;Caserta&quot;],[&quot;Catania&quot;,&quot;Catania&quot;],[&quot;Catanzaro&quot;,&quot;Catanzaro&quot;],[&quot;Chieti&quot;,&quot;Chieti&quot;],[&quot;Como&quot;,&quot;Como&quot;],[&quot;Cosenza&quot;,&quot;Cosenza&quot;],[&quot;Cremona&quot;,&quot;Cremona&quot;],[&quot;Crotone&quot;,&quot;Crotone&quot;],[&quot;Cuneo&quot;,&quot;Cuneo&quot;],[&quot;Enna&quot;,&quot;Enna&quot;],[&quot;Fermo&quot;,&quot;Fermo&quot;],[&quot;Ferrara&quot;,&quot;Ferrara&quot;],[&quot;Firenze&quot;,&quot;Florence&quot;],[&quot;Foggia&quot;,&quot;Foggia&quot;],[&quot;Forlì-Cesena&quot;,&quot;Forlì-Cesena&quot;],[&quot;Frosinone&quot;,&quot;Frosinone&quot;],[&quot;Genova&quot;,&quot;Genoa&quot;],[&quot;Gorizia&quot;,&quot;Gorizia&quot;],[&quot;Grosseto&quot;,&quot;Grosseto&quot;],[&quot;Imperia&quot;,&quot;Imperia&quot;],[&quot;Isernia&quot;,&quot;Isernia&quot;],[&quot;L'Aquila&quot;,&quot;L’Aquila&quot;],[&quot;La Spezia&quot;,&quot;La Spezia&quot;],[&quot;Latina&quot;,&quot;Latina&quot;],[&quot;Lecce&quot;,&quot;Lecce&quot;],[&quot;Lecco&quot;,&quot;Lecco&quot;],[&quot;Livorno&quot;,&quot;Livorno&quot;],[&quot;Lodi&quot;,&quot;Lodi&quot;],[&quot;Lucca&quot;,&quot;Lucca&quot;],[&quot;Macerata&quot;,&quot;Macerata&quot;],[&quot;Mantova&quot;,&quot;Mantua&quot;],[&quot;Massa-Carrara&quot;,&quot;Massa and Carrara&quot;],[&quot;Matera&quot;,&quot;Matera&quot;],[&quot;Medio Campidano&quot;,&quot;Medio Campidano&quot;],[&quot;Messina&quot;,&quot;Messina&quot;],[&quot;Milano&quot;,&quot;Milan&quot;],[&quot;Modena&quot;,&quot;Modena&quot;],[&quot;Monza e Brianza&quot;,&quot;Monza and Brianza&quot;],[&quot;Napoli&quot;,&quot;Naples&quot;],[&quot;Novara&quot;,&quot;Novara&quot;],[&quot;Nuoro&quot;,&quot;Nuoro&quot;],[&quot;Ogliastra&quot;,&quot;Ogliastra&quot;],[&quot;Olbia-Tempio&quot;,&quot;Olbia-Tempio&quot;],[&quot;Oristano&quot;,&quot;Oristano&quot;],[&quot;Padova&quot;,&quot;Padua&quot;],[&quot;Palermo&quot;,&quot;Palermo&quot;],[&quot;Parma&quot;,&quot;Parma&quot;],[&quot;Pavia&quot;,&quot;Pavia&quot;],[&quot;Perugia&quot;,&quot;Perugia&quot;],[&quot;Pesaro e Urbino&quot;,&quot;Pesaro and Urbino&quot;],[&quot;Pescara&quot;,&quot;Pescara&quot;],[&quot;Piacenza&quot;,&quot;Piacenza&quot;],[&quot;Pisa&quot;,&quot;Pisa&quot;],[&quot;Pistoia&quot;,&quot;Pistoia&quot;],[&quot;Pordenone&quot;,&quot;Pordenone&quot;],[&quot;Potenza&quot;,&quot;Potenza&quot;],[&quot;Prato&quot;,&quot;Prato&quot;],[&quot;Ragusa&quot;,&quot;Ragusa&quot;],[&quot;Ravenna&quot;,&quot;Ravenna&quot;],[&quot;Reggio Calabria&quot;,&quot;Reggio Calabria&quot;],[&quot;Reggio Emilia&quot;,&quot;Reggio Emilia&quot;],[&quot;Rieti&quot;,&quot;Rieti&quot;],[&quot;Rimini&quot;,&quot;Rimini&quot;],[&quot;Roma&quot;,&quot;Rome&quot;],[&quot;Rovigo&quot;,&quot;Rovigo&quot;],[&quot;Salerno&quot;,&quot;Salerno&quot;],[&quot;Sassari&quot;,&quot;Sassari&quot;],[&quot;Savona&quot;,&quot;Savona&quot;],[&quot;Siena&quot;,&quot;Siena&quot;],[&quot;Siracusa&quot;,&quot;Syracuse&quot;],[&quot;Sondrio&quot;,&quot;Sondrio&quot;],[&quot;Taranto&quot;,&quot;Taranto&quot;],[&quot;Teramo&quot;,&quot;Teramo&quot;],[&quot;Terni&quot;,&quot;Terni&quot;],[&quot;Torino&quot;,&quot;Turin&quot;],[&quot;Trapani&quot;,&quot;Trapani&quot;],[&quot;Trento&quot;,&quot;Trentino&quot;],[&quot;Treviso&quot;,&quot;Treviso&quot;],[&quot;Trieste&quot;,&quot;Trieste&quot;],[&quot;Udine&quot;,&quot;Udine&quot;],[&quot;Varese&quot;,&quot;Varese&quot;],[&quot;Venezia&quot;,&quot;Venice&quot;],[&quot;Verbano-Cusio-Ossola&quot;,&quot;Verbano-Cusio-Ossola&quot;],[&quot;Vercelli&quot;,&quot;Vercelli&quot;],[&quot;Verona&quot;,&quot;Verona&quot;],[&quot;Vibo Valentia&quot;,&quot;Vibo Valentia&quot;],[&quot;Vicenza&quot;,&quot;Vicenza&quot;],[&quot;Viterbo&quot;,&quot;Viterbo&quot;]]">Italy</option>
+<option value="Jamaica" data-provinces="[]">Jamaica</option>
+<option value="Japan" data-provinces="[[&quot;Aichi&quot;,&quot;Aichi&quot;],[&quot;Akita&quot;,&quot;Akita&quot;],[&quot;Aomori&quot;,&quot;Aomori&quot;],[&quot;Chiba&quot;,&quot;Chiba&quot;],[&quot;Ehime&quot;,&quot;Ehime&quot;],[&quot;Fukui&quot;,&quot;Fukui&quot;],[&quot;Fukuoka&quot;,&quot;Fukuoka&quot;],[&quot;Fukushima&quot;,&quot;Fukushima&quot;],[&quot;Gifu&quot;,&quot;Gifu&quot;],[&quot;Gunma&quot;,&quot;Gunma&quot;],[&quot;Hiroshima&quot;,&quot;Hiroshima&quot;],[&quot;Hokkaidō&quot;,&quot;Hokkaido&quot;],[&quot;Hyōgo&quot;,&quot;Hyogo&quot;],[&quot;Ibaraki&quot;,&quot;Ibaraki&quot;],[&quot;Ishikawa&quot;,&quot;Ishikawa&quot;],[&quot;Iwate&quot;,&quot;Iwate&quot;],[&quot;Kagawa&quot;,&quot;Kagawa&quot;],[&quot;Kagoshima&quot;,&quot;Kagoshima&quot;],[&quot;Kanagawa&quot;,&quot;Kanagawa&quot;],[&quot;Kumamoto&quot;,&quot;Kumamoto&quot;],[&quot;Kyōto&quot;,&quot;Kyoto&quot;],[&quot;Kōchi&quot;,&quot;Kochi&quot;],[&quot;Mie&quot;,&quot;Mie&quot;],[&quot;Miyagi&quot;,&quot;Miyagi&quot;],[&quot;Miyazaki&quot;,&quot;Miyazaki&quot;],[&quot;Nagano&quot;,&quot;Nagano&quot;],[&quot;Nagasaki&quot;,&quot;Nagasaki&quot;],[&quot;Nara&quot;,&quot;Nara&quot;],[&quot;Niigata&quot;,&quot;Niigata&quot;],[&quot;Okayama&quot;,&quot;Okayama&quot;],[&quot;Okinawa&quot;,&quot;Okinawa&quot;],[&quot;Saga&quot;,&quot;Saga&quot;],[&quot;Saitama&quot;,&quot;Saitama&quot;],[&quot;Shiga&quot;,&quot;Shiga&quot;],[&quot;Shimane&quot;,&quot;Shimane&quot;],[&quot;Shizuoka&quot;,&quot;Shizuoka&quot;],[&quot;Tochigi&quot;,&quot;Tochigi&quot;],[&quot;Tokushima&quot;,&quot;Tokushima&quot;],[&quot;Tottori&quot;,&quot;Tottori&quot;],[&quot;Toyama&quot;,&quot;Toyama&quot;],[&quot;Tōkyō&quot;,&quot;Tokyo&quot;],[&quot;Wakayama&quot;,&quot;Wakayama&quot;],[&quot;Yamagata&quot;,&quot;Yamagata&quot;],[&quot;Yamaguchi&quot;,&quot;Yamaguchi&quot;],[&quot;Yamanashi&quot;,&quot;Yamanashi&quot;],[&quot;Ōita&quot;,&quot;Oita&quot;],[&quot;Ōsaka&quot;,&quot;Osaka&quot;]]">Japan</option>
+<option value="Jersey" data-provinces="[]">Jersey</option>
+<option value="Jordan" data-provinces="[]">Jordan</option>
+<option value="Kazakhstan" data-provinces="[]">Kazakhstan</option>
+<option value="Kenya" data-provinces="[]">Kenya</option>
+<option value="Kiribati" data-provinces="[]">Kiribati</option>
+<option value="Kosovo" data-provinces="[]">Kosovo</option>
+<option value="Kuwait" data-provinces="[[&quot;Al Ahmadi&quot;,&quot;Al Ahmadi&quot;],[&quot;Al Asimah&quot;,&quot;Al Asimah&quot;],[&quot;Al Farwaniyah&quot;,&quot;Al Farwaniyah&quot;],[&quot;Al Jahra&quot;,&quot;Al Jahra&quot;],[&quot;Hawalli&quot;,&quot;Hawalli&quot;],[&quot;Mubarak Al-Kabeer&quot;,&quot;Mubarak Al-Kabeer&quot;]]">Kuwait</option>
+<option value="Kyrgyzstan" data-provinces="[]">Kyrgyzstan</option>
+<option value="Lao People's Democratic Republic" data-provinces="[]">Laos</option>
+<option value="Latvia" data-provinces="[]">Latvia</option>
+<option value="Lebanon" data-provinces="[]">Lebanon</option>
+<option value="Lesotho" data-provinces="[]">Lesotho</option>
+<option value="Liberia" data-provinces="[]">Liberia</option>
+<option value="Libyan Arab Jamahiriya" data-provinces="[]">Libya</option>
+<option value="Liechtenstein" data-provinces="[]">Liechtenstein</option>
+<option value="Lithuania" data-provinces="[]">Lithuania</option>
+<option value="Luxembourg" data-provinces="[]">Luxembourg</option>
+<option value="Macao" data-provinces="[]">Macao SAR</option>
+<option value="Madagascar" data-provinces="[]">Madagascar</option>
+<option value="Malawi" data-provinces="[]">Malawi</option>
+<option value="Malaysia" data-provinces="[[&quot;Johor&quot;,&quot;Johor&quot;],[&quot;Kedah&quot;,&quot;Kedah&quot;],[&quot;Kelantan&quot;,&quot;Kelantan&quot;],[&quot;Kuala Lumpur&quot;,&quot;Kuala Lumpur&quot;],[&quot;Labuan&quot;,&quot;Labuan&quot;],[&quot;Melaka&quot;,&quot;Malacca&quot;],[&quot;Negeri Sembilan&quot;,&quot;Negeri Sembilan&quot;],[&quot;Pahang&quot;,&quot;Pahang&quot;],[&quot;Penang&quot;,&quot;Penang&quot;],[&quot;Perak&quot;,&quot;Perak&quot;],[&quot;Perlis&quot;,&quot;Perlis&quot;],[&quot;Putrajaya&quot;,&quot;Putrajaya&quot;],[&quot;Sabah&quot;,&quot;Sabah&quot;],[&quot;Sarawak&quot;,&quot;Sarawak&quot;],[&quot;Selangor&quot;,&quot;Selangor&quot;],[&quot;Terengganu&quot;,&quot;Terengganu&quot;]]">Malaysia</option>
+<option value="Maldives" data-provinces="[]">Maldives</option>
+<option value="Mali" data-provinces="[]">Mali</option>
+<option value="Malta" data-provinces="[]">Malta</option>
+<option value="Martinique" data-provinces="[]">Martinique</option>
+<option value="Mauritania" data-provinces="[]">Mauritania</option>
+<option value="Mauritius" data-provinces="[]">Mauritius</option>
+<option value="Mayotte" data-provinces="[]">Mayotte</option>
+<option value="Mexico" data-provinces="[[&quot;Aguascalientes&quot;,&quot;Aguascalientes&quot;],[&quot;Baja California&quot;,&quot;Baja California&quot;],[&quot;Baja California Sur&quot;,&quot;Baja California Sur&quot;],[&quot;Campeche&quot;,&quot;Campeche&quot;],[&quot;Chiapas&quot;,&quot;Chiapas&quot;],[&quot;Chihuahua&quot;,&quot;Chihuahua&quot;],[&quot;Ciudad de México&quot;,&quot;Ciudad de Mexico&quot;],[&quot;Coahuila&quot;,&quot;Coahuila&quot;],[&quot;Colima&quot;,&quot;Colima&quot;],[&quot;Durango&quot;,&quot;Durango&quot;],[&quot;Guanajuato&quot;,&quot;Guanajuato&quot;],[&quot;Guerrero&quot;,&quot;Guerrero&quot;],[&quot;Hidalgo&quot;,&quot;Hidalgo&quot;],[&quot;Jalisco&quot;,&quot;Jalisco&quot;],[&quot;Michoacán&quot;,&quot;Michoacán&quot;],[&quot;Morelos&quot;,&quot;Morelos&quot;],[&quot;México&quot;,&quot;Mexico State&quot;],[&quot;Nayarit&quot;,&quot;Nayarit&quot;],[&quot;Nuevo León&quot;,&quot;Nuevo León&quot;],[&quot;Oaxaca&quot;,&quot;Oaxaca&quot;],[&quot;Puebla&quot;,&quot;Puebla&quot;],[&quot;Querétaro&quot;,&quot;Querétaro&quot;],[&quot;Quintana Roo&quot;,&quot;Quintana Roo&quot;],[&quot;San Luis Potosí&quot;,&quot;San Luis Potosí&quot;],[&quot;Sinaloa&quot;,&quot;Sinaloa&quot;],[&quot;Sonora&quot;,&quot;Sonora&quot;],[&quot;Tabasco&quot;,&quot;Tabasco&quot;],[&quot;Tamaulipas&quot;,&quot;Tamaulipas&quot;],[&quot;Tlaxcala&quot;,&quot;Tlaxcala&quot;],[&quot;Veracruz&quot;,&quot;Veracruz&quot;],[&quot;Yucatán&quot;,&quot;Yucatán&quot;],[&quot;Zacatecas&quot;,&quot;Zacatecas&quot;]]">Mexico</option>
+<option value="Moldova, Republic of" data-provinces="[]">Moldova</option>
+<option value="Monaco" data-provinces="[]">Monaco</option>
+<option value="Mongolia" data-provinces="[]">Mongolia</option>
+<option value="Montenegro" data-provinces="[]">Montenegro</option>
+<option value="Montserrat" data-provinces="[]">Montserrat</option>
+<option value="Morocco" data-provinces="[]">Morocco</option>
+<option value="Mozambique" data-provinces="[]">Mozambique</option>
+<option value="Myanmar" data-provinces="[]">Myanmar (Burma)</option>
+<option value="Namibia" data-provinces="[]">Namibia</option>
+<option value="Nauru" data-provinces="[]">Nauru</option>
+<option value="Nepal" data-provinces="[]">Nepal</option>
+<option value="Netherlands" data-provinces="[]">Netherlands</option>
+<option value="New Caledonia" data-provinces="[]">New Caledonia</option>
+<option value="New Zealand" data-provinces="[[&quot;Auckland&quot;,&quot;Auckland&quot;],[&quot;Bay of Plenty&quot;,&quot;Bay of Plenty&quot;],[&quot;Canterbury&quot;,&quot;Canterbury&quot;],[&quot;Chatham Islands&quot;,&quot;Chatham Islands&quot;],[&quot;Gisborne&quot;,&quot;Gisborne&quot;],[&quot;Hawke's Bay&quot;,&quot;Hawke’s Bay&quot;],[&quot;Manawatu-Wanganui&quot;,&quot;Manawatū-Whanganui&quot;],[&quot;Marlborough&quot;,&quot;Marlborough&quot;],[&quot;Nelson&quot;,&quot;Nelson&quot;],[&quot;Northland&quot;,&quot;Northland&quot;],[&quot;Otago&quot;,&quot;Otago&quot;],[&quot;Southland&quot;,&quot;Southland&quot;],[&quot;Taranaki&quot;,&quot;Taranaki&quot;],[&quot;Tasman&quot;,&quot;Tasman&quot;],[&quot;Waikato&quot;,&quot;Waikato&quot;],[&quot;Wellington&quot;,&quot;Wellington&quot;],[&quot;West Coast&quot;,&quot;West Coast&quot;]]">New Zealand</option>
+<option value="Nicaragua" data-provinces="[]">Nicaragua</option>
+<option value="Niger" data-provinces="[]">Niger</option>
+<option value="Nigeria" data-provinces="[[&quot;Abia&quot;,&quot;Abia&quot;],[&quot;Abuja Federal Capital Territory&quot;,&quot;Federal Capital Territory&quot;],[&quot;Adamawa&quot;,&quot;Adamawa&quot;],[&quot;Akwa Ibom&quot;,&quot;Akwa Ibom&quot;],[&quot;Anambra&quot;,&quot;Anambra&quot;],[&quot;Bauchi&quot;,&quot;Bauchi&quot;],[&quot;Bayelsa&quot;,&quot;Bayelsa&quot;],[&quot;Benue&quot;,&quot;Benue&quot;],[&quot;Borno&quot;,&quot;Borno&quot;],[&quot;Cross River&quot;,&quot;Cross River&quot;],[&quot;Delta&quot;,&quot;Delta&quot;],[&quot;Ebonyi&quot;,&quot;Ebonyi&quot;],[&quot;Edo&quot;,&quot;Edo&quot;],[&quot;Ekiti&quot;,&quot;Ekiti&quot;],[&quot;Enugu&quot;,&quot;Enugu&quot;],[&quot;Gombe&quot;,&quot;Gombe&quot;],[&quot;Imo&quot;,&quot;Imo&quot;],[&quot;Jigawa&quot;,&quot;Jigawa&quot;],[&quot;Kaduna&quot;,&quot;Kaduna&quot;],[&quot;Kano&quot;,&quot;Kano&quot;],[&quot;Katsina&quot;,&quot;Katsina&quot;],[&quot;Kebbi&quot;,&quot;Kebbi&quot;],[&quot;Kogi&quot;,&quot;Kogi&quot;],[&quot;Kwara&quot;,&quot;Kwara&quot;],[&quot;Lagos&quot;,&quot;Lagos&quot;],[&quot;Nasarawa&quot;,&quot;Nasarawa&quot;],[&quot;Niger&quot;,&quot;Niger&quot;],[&quot;Ogun&quot;,&quot;Ogun&quot;],[&quot;Ondo&quot;,&quot;Ondo&quot;],[&quot;Osun&quot;,&quot;Osun&quot;],[&quot;Oyo&quot;,&quot;Oyo&quot;],[&quot;Plateau&quot;,&quot;Plateau&quot;],[&quot;Rivers&quot;,&quot;Rivers&quot;],[&quot;Sokoto&quot;,&quot;Sokoto&quot;],[&quot;Taraba&quot;,&quot;Taraba&quot;],[&quot;Yobe&quot;,&quot;Yobe&quot;],[&quot;Zamfara&quot;,&quot;Zamfara&quot;]]">Nigeria</option>
+<option value="Niue" data-provinces="[]">Niue</option>
+<option value="Norfolk Island" data-provinces="[]">Norfolk Island</option>
+<option value="North Macedonia" data-provinces="[]">North Macedonia</option>
+<option value="Norway" data-provinces="[]">Norway</option>
+<option value="Oman" data-provinces="[]">Oman</option>
+<option value="Pakistan" data-provinces="[]">Pakistan</option>
+<option value="Palestinian Territory, Occupied" data-provinces="[]">Palestinian Territories</option>
+<option value="Panama" data-provinces="[[&quot;Bocas del Toro&quot;,&quot;Bocas del Toro&quot;],[&quot;Chiriquí&quot;,&quot;Chiriquí&quot;],[&quot;Coclé&quot;,&quot;Coclé&quot;],[&quot;Colón&quot;,&quot;Colón&quot;],[&quot;Darién&quot;,&quot;Darién&quot;],[&quot;Emberá&quot;,&quot;Emberá&quot;],[&quot;Herrera&quot;,&quot;Herrera&quot;],[&quot;Kuna Yala&quot;,&quot;Guna Yala&quot;],[&quot;Los Santos&quot;,&quot;Los Santos&quot;],[&quot;Ngöbe-Buglé&quot;,&quot;Ngöbe-Buglé&quot;],[&quot;Panamá&quot;,&quot;Panamá&quot;],[&quot;Panamá Oeste&quot;,&quot;West Panamá&quot;],[&quot;Veraguas&quot;,&quot;Veraguas&quot;]]">Panama</option>
+<option value="Papua New Guinea" data-provinces="[]">Papua New Guinea</option>
+<option value="Paraguay" data-provinces="[]">Paraguay</option>
+<option value="Peru" data-provinces="[[&quot;Amazonas&quot;,&quot;Amazonas&quot;],[&quot;Apurímac&quot;,&quot;Apurímac&quot;],[&quot;Arequipa&quot;,&quot;Arequipa&quot;],[&quot;Ayacucho&quot;,&quot;Ayacucho&quot;],[&quot;Cajamarca&quot;,&quot;Cajamarca&quot;],[&quot;Callao&quot;,&quot;El Callao&quot;],[&quot;Cuzco&quot;,&quot;Cusco&quot;],[&quot;Huancavelica&quot;,&quot;Huancavelica&quot;],[&quot;Huánuco&quot;,&quot;Huánuco&quot;],[&quot;Ica&quot;,&quot;Ica&quot;],[&quot;Junín&quot;,&quot;Junín&quot;],[&quot;La Libertad&quot;,&quot;La Libertad&quot;],[&quot;Lambayeque&quot;,&quot;Lambayeque&quot;],[&quot;Lima (departamento)&quot;,&quot;Lima (Department)&quot;],[&quot;Lima (provincia)&quot;,&quot;Lima (Metropolitan)&quot;],[&quot;Loreto&quot;,&quot;Loreto&quot;],[&quot;Madre de Dios&quot;,&quot;Madre de Dios&quot;],[&quot;Moquegua&quot;,&quot;Moquegua&quot;],[&quot;Pasco&quot;,&quot;Pasco&quot;],[&quot;Piura&quot;,&quot;Piura&quot;],[&quot;Puno&quot;,&quot;Puno&quot;],[&quot;San Martín&quot;,&quot;San Martín&quot;],[&quot;Tacna&quot;,&quot;Tacna&quot;],[&quot;Tumbes&quot;,&quot;Tumbes&quot;],[&quot;Ucayali&quot;,&quot;Ucayali&quot;],[&quot;Áncash&quot;,&quot;Ancash&quot;]]">Peru</option>
+<option value="Philippines" data-provinces="[[&quot;Abra&quot;,&quot;Abra&quot;],[&quot;Agusan del Norte&quot;,&quot;Agusan del Norte&quot;],[&quot;Agusan del Sur&quot;,&quot;Agusan del Sur&quot;],[&quot;Aklan&quot;,&quot;Aklan&quot;],[&quot;Albay&quot;,&quot;Albay&quot;],[&quot;Antique&quot;,&quot;Antique&quot;],[&quot;Apayao&quot;,&quot;Apayao&quot;],[&quot;Aurora&quot;,&quot;Aurora&quot;],[&quot;Basilan&quot;,&quot;Basilan&quot;],[&quot;Bataan&quot;,&quot;Bataan&quot;],[&quot;Batanes&quot;,&quot;Batanes&quot;],[&quot;Batangas&quot;,&quot;Batangas&quot;],[&quot;Benguet&quot;,&quot;Benguet&quot;],[&quot;Biliran&quot;,&quot;Biliran&quot;],[&quot;Bohol&quot;,&quot;Bohol&quot;],[&quot;Bukidnon&quot;,&quot;Bukidnon&quot;],[&quot;Bulacan&quot;,&quot;Bulacan&quot;],[&quot;Cagayan&quot;,&quot;Cagayan&quot;],[&quot;Camarines Norte&quot;,&quot;Camarines Norte&quot;],[&quot;Camarines Sur&quot;,&quot;Camarines Sur&quot;],[&quot;Camiguin&quot;,&quot;Camiguin&quot;],[&quot;Capiz&quot;,&quot;Capiz&quot;],[&quot;Catanduanes&quot;,&quot;Catanduanes&quot;],[&quot;Cavite&quot;,&quot;Cavite&quot;],[&quot;Cebu&quot;,&quot;Cebu&quot;],[&quot;Cotabato&quot;,&quot;Cotabato&quot;],[&quot;Davao Occidental&quot;,&quot;Davao Occidental&quot;],[&quot;Davao Oriental&quot;,&quot;Davao Oriental&quot;],[&quot;Davao de Oro&quot;,&quot;Compostela Valley&quot;],[&quot;Davao del Norte&quot;,&quot;Davao del Norte&quot;],[&quot;Davao del Sur&quot;,&quot;Davao del Sur&quot;],[&quot;Dinagat Islands&quot;,&quot;Dinagat Islands&quot;],[&quot;Eastern Samar&quot;,&quot;Eastern Samar&quot;],[&quot;Guimaras&quot;,&quot;Guimaras&quot;],[&quot;Ifugao&quot;,&quot;Ifugao&quot;],[&quot;Ilocos Norte&quot;,&quot;Ilocos Norte&quot;],[&quot;Ilocos Sur&quot;,&quot;Ilocos Sur&quot;],[&quot;Iloilo&quot;,&quot;Iloilo&quot;],[&quot;Isabela&quot;,&quot;Isabela&quot;],[&quot;Kalinga&quot;,&quot;Kalinga&quot;],[&quot;La Union&quot;,&quot;La Union&quot;],[&quot;Laguna&quot;,&quot;Laguna&quot;],[&quot;Lanao del Norte&quot;,&quot;Lanao del Norte&quot;],[&quot;Lanao del Sur&quot;,&quot;Lanao del Sur&quot;],[&quot;Leyte&quot;,&quot;Leyte&quot;],[&quot;Maguindanao&quot;,&quot;Maguindanao&quot;],[&quot;Marinduque&quot;,&quot;Marinduque&quot;],[&quot;Masbate&quot;,&quot;Masbate&quot;],[&quot;Metro Manila&quot;,&quot;Metro Manila&quot;],[&quot;Misamis Occidental&quot;,&quot;Misamis Occidental&quot;],[&quot;Misamis Oriental&quot;,&quot;Misamis Oriental&quot;],[&quot;Mountain Province&quot;,&quot;Mountain&quot;],[&quot;Negros Occidental&quot;,&quot;Negros Occidental&quot;],[&quot;Negros Oriental&quot;,&quot;Negros Oriental&quot;],[&quot;Northern Samar&quot;,&quot;Northern Samar&quot;],[&quot;Nueva Ecija&quot;,&quot;Nueva Ecija&quot;],[&quot;Nueva Vizcaya&quot;,&quot;Nueva Vizcaya&quot;],[&quot;Occidental Mindoro&quot;,&quot;Occidental Mindoro&quot;],[&quot;Oriental Mindoro&quot;,&quot;Oriental Mindoro&quot;],[&quot;Palawan&quot;,&quot;Palawan&quot;],[&quot;Pampanga&quot;,&quot;Pampanga&quot;],[&quot;Pangasinan&quot;,&quot;Pangasinan&quot;],[&quot;Quezon&quot;,&quot;Quezon&quot;],[&quot;Quirino&quot;,&quot;Quirino&quot;],[&quot;Rizal&quot;,&quot;Rizal&quot;],[&quot;Romblon&quot;,&quot;Romblon&quot;],[&quot;Samar&quot;,&quot;Samar&quot;],[&quot;Sarangani&quot;,&quot;Sarangani&quot;],[&quot;Siquijor&quot;,&quot;Siquijor&quot;],[&quot;Sorsogon&quot;,&quot;Sorsogon&quot;],[&quot;South Cotabato&quot;,&quot;South Cotabato&quot;],[&quot;Southern Leyte&quot;,&quot;Southern Leyte&quot;],[&quot;Sultan Kudarat&quot;,&quot;Sultan Kudarat&quot;],[&quot;Sulu&quot;,&quot;Sulu&quot;],[&quot;Surigao del Norte&quot;,&quot;Surigao del Norte&quot;],[&quot;Surigao del Sur&quot;,&quot;Surigao del Sur&quot;],[&quot;Tarlac&quot;,&quot;Tarlac&quot;],[&quot;Tawi-Tawi&quot;,&quot;Tawi-Tawi&quot;],[&quot;Zambales&quot;,&quot;Zambales&quot;],[&quot;Zamboanga Sibugay&quot;,&quot;Zamboanga Sibugay&quot;],[&quot;Zamboanga del Norte&quot;,&quot;Zamboanga del Norte&quot;],[&quot;Zamboanga del Sur&quot;,&quot;Zamboanga del Sur&quot;]]">Philippines</option>
+<option value="Pitcairn" data-provinces="[]">Pitcairn Islands</option>
+<option value="Poland" data-provinces="[]">Poland</option>
+<option value="Portugal" data-provinces="[[&quot;Aveiro&quot;,&quot;Aveiro&quot;],[&quot;Açores&quot;,&quot;Azores&quot;],[&quot;Beja&quot;,&quot;Beja&quot;],[&quot;Braga&quot;,&quot;Braga&quot;],[&quot;Bragança&quot;,&quot;Bragança&quot;],[&quot;Castelo Branco&quot;,&quot;Castelo Branco&quot;],[&quot;Coimbra&quot;,&quot;Coimbra&quot;],[&quot;Faro&quot;,&quot;Faro&quot;],[&quot;Guarda&quot;,&quot;Guarda&quot;],[&quot;Leiria&quot;,&quot;Leiria&quot;],[&quot;Lisboa&quot;,&quot;Lisbon&quot;],[&quot;Madeira&quot;,&quot;Madeira&quot;],[&quot;Portalegre&quot;,&quot;Portalegre&quot;],[&quot;Porto&quot;,&quot;Porto&quot;],[&quot;Santarém&quot;,&quot;Santarém&quot;],[&quot;Setúbal&quot;,&quot;Setúbal&quot;],[&quot;Viana do Castelo&quot;,&quot;Viana do Castelo&quot;],[&quot;Vila Real&quot;,&quot;Vila Real&quot;],[&quot;Viseu&quot;,&quot;Viseu&quot;],[&quot;Évora&quot;,&quot;Évora&quot;]]">Portugal</option>
+<option value="Qatar" data-provinces="[]">Qatar</option>
+<option value="Reunion" data-provinces="[]">Réunion</option>
+<option value="Romania" data-provinces="[[&quot;Alba&quot;,&quot;Alba&quot;],[&quot;Arad&quot;,&quot;Arad&quot;],[&quot;Argeș&quot;,&quot;Argeș&quot;],[&quot;Bacău&quot;,&quot;Bacău&quot;],[&quot;Bihor&quot;,&quot;Bihor&quot;],[&quot;Bistrița-Năsăud&quot;,&quot;Bistriţa-Năsăud&quot;],[&quot;Botoșani&quot;,&quot;Botoşani&quot;],[&quot;Brașov&quot;,&quot;Braşov&quot;],[&quot;Brăila&quot;,&quot;Brăila&quot;],[&quot;București&quot;,&quot;Bucharest&quot;],[&quot;Buzău&quot;,&quot;Buzău&quot;],[&quot;Caraș-Severin&quot;,&quot;Caraș-Severin&quot;],[&quot;Cluj&quot;,&quot;Cluj&quot;],[&quot;Constanța&quot;,&quot;Constanța&quot;],[&quot;Covasna&quot;,&quot;Covasna&quot;],[&quot;Călărași&quot;,&quot;Călărași&quot;],[&quot;Dolj&quot;,&quot;Dolj&quot;],[&quot;Dâmbovița&quot;,&quot;Dâmbovița&quot;],[&quot;Galați&quot;,&quot;Galați&quot;],[&quot;Giurgiu&quot;,&quot;Giurgiu&quot;],[&quot;Gorj&quot;,&quot;Gorj&quot;],[&quot;Harghita&quot;,&quot;Harghita&quot;],[&quot;Hunedoara&quot;,&quot;Hunedoara&quot;],[&quot;Ialomița&quot;,&quot;Ialomița&quot;],[&quot;Iași&quot;,&quot;Iași&quot;],[&quot;Ilfov&quot;,&quot;Ilfov&quot;],[&quot;Maramureș&quot;,&quot;Maramureş&quot;],[&quot;Mehedinți&quot;,&quot;Mehedinți&quot;],[&quot;Mureș&quot;,&quot;Mureş&quot;],[&quot;Neamț&quot;,&quot;Neamţ&quot;],[&quot;Olt&quot;,&quot;Olt&quot;],[&quot;Prahova&quot;,&quot;Prahova&quot;],[&quot;Satu Mare&quot;,&quot;Satu Mare&quot;],[&quot;Sibiu&quot;,&quot;Sibiu&quot;],[&quot;Suceava&quot;,&quot;Suceava&quot;],[&quot;Sălaj&quot;,&quot;Sălaj&quot;],[&quot;Teleorman&quot;,&quot;Teleorman&quot;],[&quot;Timiș&quot;,&quot;Timiș&quot;],[&quot;Tulcea&quot;,&quot;Tulcea&quot;],[&quot;Vaslui&quot;,&quot;Vaslui&quot;],[&quot;Vrancea&quot;,&quot;Vrancea&quot;],[&quot;Vâlcea&quot;,&quot;Vâlcea&quot;]]">Romania</option>
+<option value="Russia" data-provinces="[[&quot;Altai Krai&quot;,&quot;Altai Krai&quot;],[&quot;Altai Republic&quot;,&quot;Altai&quot;],[&quot;Amur Oblast&quot;,&quot;Amur&quot;],[&quot;Arkhangelsk Oblast&quot;,&quot;Arkhangelsk&quot;],[&quot;Astrakhan Oblast&quot;,&quot;Astrakhan&quot;],[&quot;Belgorod Oblast&quot;,&quot;Belgorod&quot;],[&quot;Bryansk Oblast&quot;,&quot;Bryansk&quot;],[&quot;Chechen Republic&quot;,&quot;Chechen&quot;],[&quot;Chelyabinsk Oblast&quot;,&quot;Chelyabinsk&quot;],[&quot;Chukotka Autonomous Okrug&quot;,&quot;Chukotka Okrug&quot;],[&quot;Chuvash Republic&quot;,&quot;Chuvash&quot;],[&quot;Irkutsk Oblast&quot;,&quot;Irkutsk&quot;],[&quot;Ivanovo Oblast&quot;,&quot;Ivanovo&quot;],[&quot;Jewish Autonomous Oblast&quot;,&quot;Jewish&quot;],[&quot;Kabardino-Balkarian Republic&quot;,&quot;Kabardino-Balkar&quot;],[&quot;Kaliningrad Oblast&quot;,&quot;Kaliningrad&quot;],[&quot;Kaluga Oblast&quot;,&quot;Kaluga&quot;],[&quot;Kamchatka Krai&quot;,&quot;Kamchatka Krai&quot;],[&quot;Karachay–Cherkess Republic&quot;,&quot;Karachay-Cherkess&quot;],[&quot;Kemerovo Oblast&quot;,&quot;Kemerovo&quot;],[&quot;Khabarovsk Krai&quot;,&quot;Khabarovsk Krai&quot;],[&quot;Khanty-Mansi Autonomous Okrug&quot;,&quot;Khanty-Mansi&quot;],[&quot;Kirov Oblast&quot;,&quot;Kirov&quot;],[&quot;Komi Republic&quot;,&quot;Komi&quot;],[&quot;Kostroma Oblast&quot;,&quot;Kostroma&quot;],[&quot;Krasnodar Krai&quot;,&quot;Krasnodar Krai&quot;],[&quot;Krasnoyarsk Krai&quot;,&quot;Krasnoyarsk Krai&quot;],[&quot;Kurgan Oblast&quot;,&quot;Kurgan&quot;],[&quot;Kursk Oblast&quot;,&quot;Kursk&quot;],[&quot;Leningrad Oblast&quot;,&quot;Leningrad&quot;],[&quot;Lipetsk Oblast&quot;,&quot;Lipetsk&quot;],[&quot;Magadan Oblast&quot;,&quot;Magadan&quot;],[&quot;Mari El Republic&quot;,&quot;Mari El&quot;],[&quot;Moscow&quot;,&quot;Moscow&quot;],[&quot;Moscow Oblast&quot;,&quot;Moscow Province&quot;],[&quot;Murmansk Oblast&quot;,&quot;Murmansk&quot;],[&quot;Nizhny Novgorod Oblast&quot;,&quot;Nizhny Novgorod&quot;],[&quot;Novgorod Oblast&quot;,&quot;Novgorod&quot;],[&quot;Novosibirsk Oblast&quot;,&quot;Novosibirsk&quot;],[&quot;Omsk Oblast&quot;,&quot;Omsk&quot;],[&quot;Orenburg Oblast&quot;,&quot;Orenburg&quot;],[&quot;Oryol Oblast&quot;,&quot;Oryol&quot;],[&quot;Penza Oblast&quot;,&quot;Penza&quot;],[&quot;Perm Krai&quot;,&quot;Perm Krai&quot;],[&quot;Primorsky Krai&quot;,&quot;Primorsky Krai&quot;],[&quot;Pskov Oblast&quot;,&quot;Pskov&quot;],[&quot;Republic of Adygeya&quot;,&quot;Adygea&quot;],[&quot;Republic of Bashkortostan&quot;,&quot;Bashkortostan&quot;],[&quot;Republic of Buryatia&quot;,&quot;Buryat&quot;],[&quot;Republic of Dagestan&quot;,&quot;Dagestan&quot;],[&quot;Republic of Ingushetia&quot;,&quot;Ingushetia&quot;],[&quot;Republic of Kalmykia&quot;,&quot;Kalmykia&quot;],[&quot;Republic of Karelia&quot;,&quot;Karelia&quot;],[&quot;Republic of Khakassia&quot;,&quot;Khakassia&quot;],[&quot;Republic of Mordovia&quot;,&quot;Mordovia&quot;],[&quot;Republic of North Ossetia–Alania&quot;,&quot;North Ossetia-Alania&quot;],[&quot;Republic of Tatarstan&quot;,&quot;Tatarstan&quot;],[&quot;Rostov Oblast&quot;,&quot;Rostov&quot;],[&quot;Ryazan Oblast&quot;,&quot;Ryazan&quot;],[&quot;Saint Petersburg&quot;,&quot;Saint Petersburg&quot;],[&quot;Sakha Republic (Yakutia)&quot;,&quot;Sakha&quot;],[&quot;Sakhalin Oblast&quot;,&quot;Sakhalin&quot;],[&quot;Samara Oblast&quot;,&quot;Samara&quot;],[&quot;Saratov Oblast&quot;,&quot;Saratov&quot;],[&quot;Smolensk Oblast&quot;,&quot;Smolensk&quot;],[&quot;Stavropol Krai&quot;,&quot;Stavropol Krai&quot;],[&quot;Sverdlovsk Oblast&quot;,&quot;Sverdlovsk&quot;],[&quot;Tambov Oblast&quot;,&quot;Tambov&quot;],[&quot;Tomsk Oblast&quot;,&quot;Tomsk&quot;],[&quot;Tula Oblast&quot;,&quot;Tula&quot;],[&quot;Tver Oblast&quot;,&quot;Tver&quot;],[&quot;Tyumen Oblast&quot;,&quot;Tyumen&quot;],[&quot;Tyva Republic&quot;,&quot;Tuva&quot;],[&quot;Udmurtia&quot;,&quot;Udmurt&quot;],[&quot;Ulyanovsk Oblast&quot;,&quot;Ulyanovsk&quot;],[&quot;Vladimir Oblast&quot;,&quot;Vladimir&quot;],[&quot;Volgograd Oblast&quot;,&quot;Volgograd&quot;],[&quot;Vologda Oblast&quot;,&quot;Vologda&quot;],[&quot;Voronezh Oblast&quot;,&quot;Voronezh&quot;],[&quot;Yamalo-Nenets Autonomous Okrug&quot;,&quot;Yamalo-Nenets Okrug&quot;],[&quot;Yaroslavl Oblast&quot;,&quot;Yaroslavl&quot;],[&quot;Zabaykalsky Krai&quot;,&quot;Zabaykalsky Krai&quot;]]">Russia</option>
+<option value="Rwanda" data-provinces="[]">Rwanda</option>
+<option value="Samoa" data-provinces="[]">Samoa</option>
+<option value="San Marino" data-provinces="[]">San Marino</option>
+<option value="Sao Tome And Principe" data-provinces="[]">São Tomé &amp; Príncipe</option>
+<option value="Saudi Arabia" data-provinces="[]">Saudi Arabia</option>
+<option value="Senegal" data-provinces="[]">Senegal</option>
+<option value="Serbia" data-provinces="[]">Serbia</option>
+<option value="Seychelles" data-provinces="[]">Seychelles</option>
+<option value="Sierra Leone" data-provinces="[]">Sierra Leone</option>
+<option value="Singapore" data-provinces="[]">Singapore</option>
+<option value="Sint Maarten" data-provinces="[]">Sint Maarten</option>
+<option value="Slovakia" data-provinces="[]">Slovakia</option>
+<option value="Slovenia" data-provinces="[]">Slovenia</option>
+<option value="Solomon Islands" data-provinces="[]">Solomon Islands</option>
+<option value="Somalia" data-provinces="[]">Somalia</option>
+<option value="South Africa" data-provinces="[[&quot;Eastern Cape&quot;,&quot;Eastern Cape&quot;],[&quot;Free State&quot;,&quot;Free State&quot;],[&quot;Gauteng&quot;,&quot;Gauteng&quot;],[&quot;KwaZulu-Natal&quot;,&quot;KwaZulu-Natal&quot;],[&quot;Limpopo&quot;,&quot;Limpopo&quot;],[&quot;Mpumalanga&quot;,&quot;Mpumalanga&quot;],[&quot;North West&quot;,&quot;North West&quot;],[&quot;Northern Cape&quot;,&quot;Northern Cape&quot;],[&quot;Western Cape&quot;,&quot;Western Cape&quot;]]">South Africa</option>
+<option value="South Georgia And The South Sandwich Islands" data-provinces="[]">South Georgia &amp; South Sandwich Islands</option>
+<option value="South Korea" data-provinces="[[&quot;Busan&quot;,&quot;Busan&quot;],[&quot;Chungbuk&quot;,&quot;North Chungcheong&quot;],[&quot;Chungnam&quot;,&quot;South Chungcheong&quot;],[&quot;Daegu&quot;,&quot;Daegu&quot;],[&quot;Daejeon&quot;,&quot;Daejeon&quot;],[&quot;Gangwon&quot;,&quot;Gangwon&quot;],[&quot;Gwangju&quot;,&quot;Gwangju City&quot;],[&quot;Gyeongbuk&quot;,&quot;North Gyeongsang&quot;],[&quot;Gyeonggi&quot;,&quot;Gyeonggi&quot;],[&quot;Gyeongnam&quot;,&quot;South Gyeongsang&quot;],[&quot;Incheon&quot;,&quot;Incheon&quot;],[&quot;Jeju&quot;,&quot;Jeju&quot;],[&quot;Jeonbuk&quot;,&quot;North Jeolla&quot;],[&quot;Jeonnam&quot;,&quot;South Jeolla&quot;],[&quot;Sejong&quot;,&quot;Sejong&quot;],[&quot;Seoul&quot;,&quot;Seoul&quot;],[&quot;Ulsan&quot;,&quot;Ulsan&quot;]]">South Korea</option>
+<option value="South Sudan" data-provinces="[]">South Sudan</option>
+<option value="Spain" data-provinces="[[&quot;A Coruña&quot;,&quot;A Coruña&quot;],[&quot;Albacete&quot;,&quot;Albacete&quot;],[&quot;Alicante&quot;,&quot;Alicante&quot;],[&quot;Almería&quot;,&quot;Almería&quot;],[&quot;Asturias&quot;,&quot;Asturias Province&quot;],[&quot;Badajoz&quot;,&quot;Badajoz&quot;],[&quot;Balears&quot;,&quot;Balears Province&quot;],[&quot;Barcelona&quot;,&quot;Barcelona&quot;],[&quot;Burgos&quot;,&quot;Burgos&quot;],[&quot;Cantabria&quot;,&quot;Cantabria Province&quot;],[&quot;Castellón&quot;,&quot;Castellón&quot;],[&quot;Ceuta&quot;,&quot;Ceuta&quot;],[&quot;Ciudad Real&quot;,&quot;Ciudad Real&quot;],[&quot;Cuenca&quot;,&quot;Cuenca&quot;],[&quot;Cáceres&quot;,&quot;Cáceres&quot;],[&quot;Cádiz&quot;,&quot;Cádiz&quot;],[&quot;Córdoba&quot;,&quot;Córdoba&quot;],[&quot;Girona&quot;,&quot;Girona&quot;],[&quot;Granada&quot;,&quot;Granada&quot;],[&quot;Guadalajara&quot;,&quot;Guadalajara&quot;],[&quot;Guipúzcoa&quot;,&quot;Gipuzkoa&quot;],[&quot;Huelva&quot;,&quot;Huelva&quot;],[&quot;Huesca&quot;,&quot;Huesca&quot;],[&quot;Jaén&quot;,&quot;Jaén&quot;],[&quot;La Rioja&quot;,&quot;La Rioja Province&quot;],[&quot;Las Palmas&quot;,&quot;Las Palmas&quot;],[&quot;León&quot;,&quot;León&quot;],[&quot;Lleida&quot;,&quot;Lleida&quot;],[&quot;Lugo&quot;,&quot;Lugo&quot;],[&quot;Madrid&quot;,&quot;Madrid Province&quot;],[&quot;Melilla&quot;,&quot;Melilla&quot;],[&quot;Murcia&quot;,&quot;Murcia&quot;],[&quot;Málaga&quot;,&quot;Málaga&quot;],[&quot;Navarra&quot;,&quot;Navarra&quot;],[&quot;Ourense&quot;,&quot;Ourense&quot;],[&quot;Palencia&quot;,&quot;Palencia&quot;],[&quot;Pontevedra&quot;,&quot;Pontevedra&quot;],[&quot;Salamanca&quot;,&quot;Salamanca&quot;],[&quot;Santa Cruz de Tenerife&quot;,&quot;Santa Cruz de Tenerife&quot;],[&quot;Segovia&quot;,&quot;Segovia&quot;],[&quot;Sevilla&quot;,&quot;Seville&quot;],[&quot;Soria&quot;,&quot;Soria&quot;],[&quot;Tarragona&quot;,&quot;Tarragona&quot;],[&quot;Teruel&quot;,&quot;Teruel&quot;],[&quot;Toledo&quot;,&quot;Toledo&quot;],[&quot;Valencia&quot;,&quot;Valencia&quot;],[&quot;Valladolid&quot;,&quot;Valladolid&quot;],[&quot;Vizcaya&quot;,&quot;Biscay&quot;],[&quot;Zamora&quot;,&quot;Zamora&quot;],[&quot;Zaragoza&quot;,&quot;Zaragoza&quot;],[&quot;Álava&quot;,&quot;Álava&quot;],[&quot;Ávila&quot;,&quot;Ávila&quot;]]">Spain</option>
+<option value="Sri Lanka" data-provinces="[]">Sri Lanka</option>
+<option value="Saint Barthélemy" data-provinces="[]">St. Barthélemy</option>
+<option value="Saint Helena" data-provinces="[]">St. Helena</option>
+<option value="Saint Kitts And Nevis" data-provinces="[]">St. Kitts &amp; Nevis</option>
+<option value="Saint Lucia" data-provinces="[]">St. Lucia</option>
+<option value="Saint Martin" data-provinces="[]">St. Martin</option>
+<option value="Saint Pierre And Miquelon" data-provinces="[]">St. Pierre &amp; Miquelon</option>
+<option value="St. Vincent" data-provinces="[]">St. Vincent &amp; Grenadines</option>
+<option value="Sudan" data-provinces="[]">Sudan</option>
+<option value="Suriname" data-provinces="[]">Suriname</option>
+<option value="Svalbard And Jan Mayen" data-provinces="[]">Svalbard &amp; Jan Mayen</option>
+<option value="Sweden" data-provinces="[]">Sweden</option>
+<option value="Switzerland" data-provinces="[]">Switzerland</option>
+<option value="Taiwan" data-provinces="[]">Taiwan</option>
+<option value="Tajikistan" data-provinces="[]">Tajikistan</option>
+<option value="Tanzania, United Republic Of" data-provinces="[]">Tanzania</option>
+<option value="Thailand" data-provinces="[[&quot;Amnat Charoen&quot;,&quot;Amnat Charoen&quot;],[&quot;Ang Thong&quot;,&quot;Ang Thong&quot;],[&quot;Bangkok&quot;,&quot;Bangkok&quot;],[&quot;Bueng Kan&quot;,&quot;Bueng Kan&quot;],[&quot;Buriram&quot;,&quot;Buri Ram&quot;],[&quot;Chachoengsao&quot;,&quot;Chachoengsao&quot;],[&quot;Chai Nat&quot;,&quot;Chai Nat&quot;],[&quot;Chaiyaphum&quot;,&quot;Chaiyaphum&quot;],[&quot;Chanthaburi&quot;,&quot;Chanthaburi&quot;],[&quot;Chiang Mai&quot;,&quot;Chiang Mai&quot;],[&quot;Chiang Rai&quot;,&quot;Chiang Rai&quot;],[&quot;Chon Buri&quot;,&quot;Chon Buri&quot;],[&quot;Chumphon&quot;,&quot;Chumphon&quot;],[&quot;Kalasin&quot;,&quot;Kalasin&quot;],[&quot;Kamphaeng Phet&quot;,&quot;Kamphaeng Phet&quot;],[&quot;Kanchanaburi&quot;,&quot;Kanchanaburi&quot;],[&quot;Khon Kaen&quot;,&quot;Khon Kaen&quot;],[&quot;Krabi&quot;,&quot;Krabi&quot;],[&quot;Lampang&quot;,&quot;Lampang&quot;],[&quot;Lamphun&quot;,&quot;Lamphun&quot;],[&quot;Loei&quot;,&quot;Loei&quot;],[&quot;Lopburi&quot;,&quot;Lopburi&quot;],[&quot;Mae Hong Son&quot;,&quot;Mae Hong Son&quot;],[&quot;Maha Sarakham&quot;,&quot;Maha Sarakham&quot;],[&quot;Mukdahan&quot;,&quot;Mukdahan&quot;],[&quot;Nakhon Nayok&quot;,&quot;Nakhon Nayok&quot;],[&quot;Nakhon Pathom&quot;,&quot;Nakhon Pathom&quot;],[&quot;Nakhon Phanom&quot;,&quot;Nakhon Phanom&quot;],[&quot;Nakhon Ratchasima&quot;,&quot;Nakhon Ratchasima&quot;],[&quot;Nakhon Sawan&quot;,&quot;Nakhon Sawan&quot;],[&quot;Nakhon Si Thammarat&quot;,&quot;Nakhon Si Thammarat&quot;],[&quot;Nan&quot;,&quot;Nan&quot;],[&quot;Narathiwat&quot;,&quot;Narathiwat&quot;],[&quot;Nong Bua Lam Phu&quot;,&quot;Nong Bua Lam Phu&quot;],[&quot;Nong Khai&quot;,&quot;Nong Khai&quot;],[&quot;Nonthaburi&quot;,&quot;Nonthaburi&quot;],[&quot;Pathum Thani&quot;,&quot;Pathum Thani&quot;],[&quot;Pattani&quot;,&quot;Pattani&quot;],[&quot;Pattaya&quot;,&quot;Pattaya&quot;],[&quot;Phangnga&quot;,&quot;Phang Nga&quot;],[&quot;Phatthalung&quot;,&quot;Phatthalung&quot;],[&quot;Phayao&quot;,&quot;Phayao&quot;],[&quot;Phetchabun&quot;,&quot;Phetchabun&quot;],[&quot;Phetchaburi&quot;,&quot;Phetchaburi&quot;],[&quot;Phichit&quot;,&quot;Phichit&quot;],[&quot;Phitsanulok&quot;,&quot;Phitsanulok&quot;],[&quot;Phra Nakhon Si Ayutthaya&quot;,&quot;Phra Nakhon Si Ayutthaya&quot;],[&quot;Phrae&quot;,&quot;Phrae&quot;],[&quot;Phuket&quot;,&quot;Phuket&quot;],[&quot;Prachin Buri&quot;,&quot;Prachin Buri&quot;],[&quot;Prachuap Khiri Khan&quot;,&quot;Prachuap Khiri Khan&quot;],[&quot;Ranong&quot;,&quot;Ranong&quot;],[&quot;Ratchaburi&quot;,&quot;Ratchaburi&quot;],[&quot;Rayong&quot;,&quot;Rayong&quot;],[&quot;Roi Et&quot;,&quot;Roi Et&quot;],[&quot;Sa Kaeo&quot;,&quot;Sa Kaeo&quot;],[&quot;Sakon Nakhon&quot;,&quot;Sakon Nakhon&quot;],[&quot;Samut Prakan&quot;,&quot;Samut Prakan&quot;],[&quot;Samut Sakhon&quot;,&quot;Samut Sakhon&quot;],[&quot;Samut Songkhram&quot;,&quot;Samut Songkhram&quot;],[&quot;Saraburi&quot;,&quot;Saraburi&quot;],[&quot;Satun&quot;,&quot;Satun&quot;],[&quot;Sing Buri&quot;,&quot;Sing Buri&quot;],[&quot;Sisaket&quot;,&quot;Si Sa Ket&quot;],[&quot;Songkhla&quot;,&quot;Songkhla&quot;],[&quot;Sukhothai&quot;,&quot;Sukhothai&quot;],[&quot;Suphan Buri&quot;,&quot;Suphanburi&quot;],[&quot;Surat Thani&quot;,&quot;Surat Thani&quot;],[&quot;Surin&quot;,&quot;Surin&quot;],[&quot;Tak&quot;,&quot;Tak&quot;],[&quot;Trang&quot;,&quot;Trang&quot;],[&quot;Trat&quot;,&quot;Trat&quot;],[&quot;Ubon Ratchathani&quot;,&quot;Ubon Ratchathani&quot;],[&quot;Udon Thani&quot;,&quot;Udon Thani&quot;],[&quot;Uthai Thani&quot;,&quot;Uthai Thani&quot;],[&quot;Uttaradit&quot;,&quot;Uttaradit&quot;],[&quot;Yala&quot;,&quot;Yala&quot;],[&quot;Yasothon&quot;,&quot;Yasothon&quot;]]">Thailand</option>
+<option value="Timor Leste" data-provinces="[]">Timor-Leste</option>
+<option value="Togo" data-provinces="[]">Togo</option>
+<option value="Tokelau" data-provinces="[]">Tokelau</option>
+<option value="Tonga" data-provinces="[]">Tonga</option>
+<option value="Trinidad and Tobago" data-provinces="[]">Trinidad &amp; Tobago</option>
+<option value="Tristan da Cunha" data-provinces="[]">Tristan da Cunha</option>
+<option value="Tunisia" data-provinces="[]">Tunisia</option>
+<option value="Turkey" data-provinces="[]">Türkiye</option>
+<option value="Turkmenistan" data-provinces="[]">Turkmenistan</option>
+<option value="Turks and Caicos Islands" data-provinces="[]">Turks &amp; Caicos Islands</option>
+<option value="Tuvalu" data-provinces="[]">Tuvalu</option>
+<option value="United States Minor Outlying Islands" data-provinces="[]">U.S. Outlying Islands</option>
+<option value="Uganda" data-provinces="[]">Uganda</option>
+<option value="Ukraine" data-provinces="[]">Ukraine</option>
+<option value="United Arab Emirates" data-provinces="[[&quot;Abu Dhabi&quot;,&quot;Abu Dhabi&quot;],[&quot;Ajman&quot;,&quot;Ajman&quot;],[&quot;Dubai&quot;,&quot;Dubai&quot;],[&quot;Fujairah&quot;,&quot;Fujairah&quot;],[&quot;Ras al-Khaimah&quot;,&quot;Ras al-Khaimah&quot;],[&quot;Sharjah&quot;,&quot;Sharjah&quot;],[&quot;Umm al-Quwain&quot;,&quot;Umm al-Quwain&quot;]]">United Arab Emirates</option>
+<option value="United Kingdom" data-provinces="[[&quot;British Forces&quot;,&quot;British Forces&quot;],[&quot;England&quot;,&quot;England&quot;],[&quot;Northern Ireland&quot;,&quot;Northern Ireland&quot;],[&quot;Scotland&quot;,&quot;Scotland&quot;],[&quot;Wales&quot;,&quot;Wales&quot;]]">United Kingdom</option>
+<option value="United States" data-provinces="[[&quot;Alabama&quot;,&quot;Alabama&quot;],[&quot;Alaska&quot;,&quot;Alaska&quot;],[&quot;American Samoa&quot;,&quot;American Samoa&quot;],[&quot;Arizona&quot;,&quot;Arizona&quot;],[&quot;Arkansas&quot;,&quot;Arkansas&quot;],[&quot;Armed Forces Americas&quot;,&quot;Armed Forces Americas&quot;],[&quot;Armed Forces Europe&quot;,&quot;Armed Forces Europe&quot;],[&quot;Armed Forces Pacific&quot;,&quot;Armed Forces Pacific&quot;],[&quot;California&quot;,&quot;California&quot;],[&quot;Colorado&quot;,&quot;Colorado&quot;],[&quot;Connecticut&quot;,&quot;Connecticut&quot;],[&quot;Delaware&quot;,&quot;Delaware&quot;],[&quot;District of Columbia&quot;,&quot;Washington DC&quot;],[&quot;Federated States of Micronesia&quot;,&quot;Micronesia&quot;],[&quot;Florida&quot;,&quot;Florida&quot;],[&quot;Georgia&quot;,&quot;Georgia&quot;],[&quot;Guam&quot;,&quot;Guam&quot;],[&quot;Hawaii&quot;,&quot;Hawaii&quot;],[&quot;Idaho&quot;,&quot;Idaho&quot;],[&quot;Illinois&quot;,&quot;Illinois&quot;],[&quot;Indiana&quot;,&quot;Indiana&quot;],[&quot;Iowa&quot;,&quot;Iowa&quot;],[&quot;Kansas&quot;,&quot;Kansas&quot;],[&quot;Kentucky&quot;,&quot;Kentucky&quot;],[&quot;Louisiana&quot;,&quot;Louisiana&quot;],[&quot;Maine&quot;,&quot;Maine&quot;],[&quot;Marshall Islands&quot;,&quot;Marshall Islands&quot;],[&quot;Maryland&quot;,&quot;Maryland&quot;],[&quot;Massachusetts&quot;,&quot;Massachusetts&quot;],[&quot;Michigan&quot;,&quot;Michigan&quot;],[&quot;Minnesota&quot;,&quot;Minnesota&quot;],[&quot;Mississippi&quot;,&quot;Mississippi&quot;],[&quot;Missouri&quot;,&quot;Missouri&quot;],[&quot;Montana&quot;,&quot;Montana&quot;],[&quot;Nebraska&quot;,&quot;Nebraska&quot;],[&quot;Nevada&quot;,&quot;Nevada&quot;],[&quot;New Hampshire&quot;,&quot;New Hampshire&quot;],[&quot;New Jersey&quot;,&quot;New Jersey&quot;],[&quot;New Mexico&quot;,&quot;New Mexico&quot;],[&quot;New York&quot;,&quot;New York&quot;],[&quot;North Carolina&quot;,&quot;North Carolina&quot;],[&quot;North Dakota&quot;,&quot;North Dakota&quot;],[&quot;Northern Mariana Islands&quot;,&quot;Northern Mariana Islands&quot;],[&quot;Ohio&quot;,&quot;Ohio&quot;],[&quot;Oklahoma&quot;,&quot;Oklahoma&quot;],[&quot;Oregon&quot;,&quot;Oregon&quot;],[&quot;Palau&quot;,&quot;Palau&quot;],[&quot;Pennsylvania&quot;,&quot;Pennsylvania&quot;],[&quot;Puerto Rico&quot;,&quot;Puerto Rico&quot;],[&quot;Rhode Island&quot;,&quot;Rhode Island&quot;],[&quot;South Carolina&quot;,&quot;South Carolina&quot;],[&quot;South Dakota&quot;,&quot;South Dakota&quot;],[&quot;Tennessee&quot;,&quot;Tennessee&quot;],[&quot;Texas&quot;,&quot;Texas&quot;],[&quot;Utah&quot;,&quot;Utah&quot;],[&quot;Vermont&quot;,&quot;Vermont&quot;],[&quot;Virgin Islands&quot;,&quot;U.S. Virgin Islands&quot;],[&quot;Virginia&quot;,&quot;Virginia&quot;],[&quot;Washington&quot;,&quot;Washington&quot;],[&quot;West Virginia&quot;,&quot;West Virginia&quot;],[&quot;Wisconsin&quot;,&quot;Wisconsin&quot;],[&quot;Wyoming&quot;,&quot;Wyoming&quot;]]">United States</option>
+<option value="Uruguay" data-provinces="[[&quot;Artigas&quot;,&quot;Artigas&quot;],[&quot;Canelones&quot;,&quot;Canelones&quot;],[&quot;Cerro Largo&quot;,&quot;Cerro Largo&quot;],[&quot;Colonia&quot;,&quot;Colonia&quot;],[&quot;Durazno&quot;,&quot;Durazno&quot;],[&quot;Flores&quot;,&quot;Flores&quot;],[&quot;Florida&quot;,&quot;Florida&quot;],[&quot;Lavalleja&quot;,&quot;Lavalleja&quot;],[&quot;Maldonado&quot;,&quot;Maldonado&quot;],[&quot;Montevideo&quot;,&quot;Montevideo&quot;],[&quot;Paysandú&quot;,&quot;Paysandú&quot;],[&quot;Rivera&quot;,&quot;Rivera&quot;],[&quot;Rocha&quot;,&quot;Rocha&quot;],[&quot;Río Negro&quot;,&quot;Río Negro&quot;],[&quot;Salto&quot;,&quot;Salto&quot;],[&quot;San José&quot;,&quot;San José&quot;],[&quot;Soriano&quot;,&quot;Soriano&quot;],[&quot;Tacuarembó&quot;,&quot;Tacuarembó&quot;],[&quot;Treinta y Tres&quot;,&quot;Treinta y Tres&quot;]]">Uruguay</option>
+<option value="Uzbekistan" data-provinces="[]">Uzbekistan</option>
+<option value="Vanuatu" data-provinces="[]">Vanuatu</option>
+<option value="Holy See (Vatican City State)" data-provinces="[]">Vatican City</option>
+<option value="Venezuela" data-provinces="[[&quot;Amazonas&quot;,&quot;Amazonas&quot;],[&quot;Anzoátegui&quot;,&quot;Anzoátegui&quot;],[&quot;Apure&quot;,&quot;Apure&quot;],[&quot;Aragua&quot;,&quot;Aragua&quot;],[&quot;Barinas&quot;,&quot;Barinas&quot;],[&quot;Bolívar&quot;,&quot;Bolívar&quot;],[&quot;Carabobo&quot;,&quot;Carabobo&quot;],[&quot;Cojedes&quot;,&quot;Cojedes&quot;],[&quot;Delta Amacuro&quot;,&quot;Delta Amacuro&quot;],[&quot;Dependencias Federales&quot;,&quot;Federal Dependencies&quot;],[&quot;Distrito Capital&quot;,&quot;Capital&quot;],[&quot;Falcón&quot;,&quot;Falcón&quot;],[&quot;Guárico&quot;,&quot;Guárico&quot;],[&quot;La Guaira&quot;,&quot;Vargas&quot;],[&quot;Lara&quot;,&quot;Lara&quot;],[&quot;Miranda&quot;,&quot;Miranda&quot;],[&quot;Monagas&quot;,&quot;Monagas&quot;],[&quot;Mérida&quot;,&quot;Mérida&quot;],[&quot;Nueva Esparta&quot;,&quot;Nueva Esparta&quot;],[&quot;Portuguesa&quot;,&quot;Portuguesa&quot;],[&quot;Sucre&quot;,&quot;Sucre&quot;],[&quot;Trujillo&quot;,&quot;Trujillo&quot;],[&quot;Táchira&quot;,&quot;Táchira&quot;],[&quot;Yaracuy&quot;,&quot;Yaracuy&quot;],[&quot;Zulia&quot;,&quot;Zulia&quot;]]">Venezuela</option>
+<option value="Vietnam" data-provinces="[]">Vietnam</option>
+<option value="Wallis And Futuna" data-provinces="[]">Wallis &amp; Futuna</option>
+<option value="Western Sahara" data-provinces="[]">Western Sahara</option>
+<option value="Yemen" data-provinces="[]">Yemen</option>
+<option value="Zambia" data-provinces="[]">Zambia</option>
+<option value="Zimbabwe" data-provinces="[]">Zimbabwe</option></select>
+          </div>
+          <div class="t4s-field" id="ShippingProvinceContainer_mini_cart" style="">
+            <label for="ShippingProvince_mini_cart" id="address_province_label">Province</label>
+            <select id="ShippingProvince_mini_cart" name="province" data-default=""><option value="Alabama">Alabama</option><option value="Alaska">Alaska</option><option value="American Samoa">American Samoa</option><option value="Arizona">Arizona</option><option value="Arkansas">Arkansas</option><option value="Armed Forces Americas">Armed Forces Americas</option><option value="Armed Forces Europe">Armed Forces Europe</option><option value="Armed Forces Pacific">Armed Forces Pacific</option><option value="California">California</option><option value="Colorado">Colorado</option><option value="Connecticut">Connecticut</option><option value="Delaware">Delaware</option><option value="District of Columbia">Washington DC</option><option value="Federated States of Micronesia">Micronesia</option><option value="Florida">Florida</option><option value="Georgia">Georgia</option><option value="Guam">Guam</option><option value="Hawaii">Hawaii</option><option value="Idaho">Idaho</option><option value="Illinois">Illinois</option><option value="Indiana">Indiana</option><option value="Iowa">Iowa</option><option value="Kansas">Kansas</option><option value="Kentucky">Kentucky</option><option value="Louisiana">Louisiana</option><option value="Maine">Maine</option><option value="Marshall Islands">Marshall Islands</option><option value="Maryland">Maryland</option><option value="Massachusetts">Massachusetts</option><option value="Michigan">Michigan</option><option value="Minnesota">Minnesota</option><option value="Mississippi">Mississippi</option><option value="Missouri">Missouri</option><option value="Montana">Montana</option><option value="Nebraska">Nebraska</option><option value="Nevada">Nevada</option><option value="New Hampshire">New Hampshire</option><option value="New Jersey">New Jersey</option><option value="New Mexico">New Mexico</option><option value="New York">New York</option><option value="North Carolina">North Carolina</option><option value="North Dakota">North Dakota</option><option value="Northern Mariana Islands">Northern Mariana Islands</option><option value="Ohio">Ohio</option><option value="Oklahoma">Oklahoma</option><option value="Oregon">Oregon</option><option value="Palau">Palau</option><option value="Pennsylvania">Pennsylvania</option><option value="Puerto Rico">Puerto Rico</option><option value="Rhode Island">Rhode Island</option><option value="South Carolina">South Carolina</option><option value="South Dakota">South Dakota</option><option value="Tennessee">Tennessee</option><option value="Texas">Texas</option><option value="Utah">Utah</option><option value="Vermont">Vermont</option><option value="Virgin Islands">U.S. Virgin Islands</option><option value="Virginia">Virginia</option><option value="Washington">Washington</option><option value="West Virginia">West Virginia</option><option value="Wisconsin">Wisconsin</option><option value="Wyoming">Wyoming</option></select>
+          </div>  
+          <div class="t4s-field">
+            <label for="ShippingZip_mini_cart">Zip code</label>
+            <input type="text" data-opend-focus="" id="ShippingZip_mini_cart" name="zip" value="">
+          </div>
+          <div class="t4s-field">
+            <button data-action="estimate-shipping" type="button" class="t4s-get__rates t4s-mini_cart-tool__primary t4s-btn-loading__svg"> 
+                 <span class="t4s-btn-atc_text">Estimate</span>
+                 <div class="t4s-loading__spinner t4s-dn">
+                     <svg width="16" height="16" aria-hidden="true" focusable="false" role="presentation" class="t4s-svg__spinner" viewBox="0 0 66 66" xmlns="http://www.w3.org/2000/svg"><circle class="t4s-path" fill="none" stroke-width="6" cx="33" cy="33" r="30"></circle></svg>
+                 </div>  
+            </button>
+          </div>
+          <div class="t4s-field">
+            <button type="button" data-cart-tool_close="" class="t4s-mini_cart-tool__back">Cancel</button>
+          </div>
+          <div data-response-rates="" class="t4s-response__rates"></div>
+          <template data-lang-rates="" class="t4s-d-none">
+           {
+             "multiple_rates": "We found [number_of_rates] shipping rates available for [address], starting at [rate].",
+             "one_rate": "We found one shipping rate available for [address].",
+             "no_rates": "Sorry, we do not ship to this destination.",
+             "rate_value": "[rate_title] at [rate]",
+             "errors": "There are some errors:"
+           }
+          </template> 
+      </div>
+   </div><div class="t4s-mini_cart-tool__content is--discount t4s-pe-none">
+     <div class="t4s-mini_cart-tool__wrap">
+        <span class="t4s-mini_cart-tool__text">Add A Coupon</span>
+        <p>Coupon code will work on checkout page</p>
+        <div class="t4s-field">
+          <input type="text" data-opend-focus="" data-name="discount" id="CartDiscountcode" value="" placeholder="Coupon code">
+        </div>
+        <div class="t4s-field">
+          <button type="button" data-action="save-discountcode" data-cart-tool_close="" class="t4s-mini_cart-tool__primary">Save</button>
+        </div>
+        <div class="t4s-field">
+          <button type="button" data-cart-tool_close="" class="t4s-mini_cart-tool__back">Cancel</button>
+        </div>
+     </div>
+   </div></div><div id="shopify-section-toolbar_mobile" class="shopify-section t4s-section t4s-toolbar-mobile t4s-section-admn-fixed-"><link href="//shooz.pk/cdn/shop/t/7/assets/toolbar_mobile.css?v=117812863032420226871716281118" rel="stylesheet" type="text/css" media="all">
+<div class="t4s-toolbar t4s-toolbar-label-true t4s-pf t4s-r-0 t4s-l-0 t4s-b-0 t4s-d-flex t4s-align-items-center t4s-justify-content-between" style="--bg-color:#ffffff;--icon-color:#222222;--label-color:#222222;--count-bg-color:#000000;--count-text-color:#ffffff"><div class="t4s-toolbart-shop t4s-toolbar-item">
+                <a href="/collections/all">
+                    <span class="t4s-toolbar-icon">
+                        <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="1.5" stroke-linecap="round" stroke-linejoin="round" class="feather feather-grid"><rect x="3" y="3" width="7" height="7"></rect><rect x="14" y="3" width="7" height="7"></rect><rect x="14" y="14" width="7" height="7"></rect><rect x="3" y="14" width="7" height="7"></rect></svg>
+                    </span><span class="t4s-toolbar-label">Shop</span></a>
+            </div><div class="t4s-toolbart-wish t4s-toolbar-item">
+                <a data-link-wishlist="" href="/search/?view=wishlist">
+                    <span class="t4s-toolbar-icon t4s-pr">
+                        <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="1.5" stroke-linecap="round" stroke-linejoin="round" class="feather feather-heart"><path d="M20.84 4.61a5.5 5.5 0 0 0-7.78 0L12 5.67l-1.06-1.06a5.5 5.5 0 0 0-7.78 7.78l1.06 1.06L12 21.23l7.78-7.78 1.06-1.06a5.5 5.5 0 0 0 0-7.78z"></path></svg>
+                        <span data-count-wishlist="" class="t4s-pa t4s-op-0 t4s-ts-op t4s-count-box">0</span>
+                    </span><span class="t4s-toolbar-label">Wishlist</span></a>
+            </div><div class="t4s-toolbart-cart t4s-toolbar-item">
+                    <a href="/cart" data-drawer-delay-="" data-drawer-options="{ &quot;id&quot;:&quot;#t4s-mini_cart&quot; }">
+                        <span class="t4s-toolbar-icon t4s-pr">
+                            <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="1.5" stroke-linecap="round" stroke-linejoin="round" class="feather feather-shopping-cart"><circle cx="9" cy="21" r="1"></circle><circle cx="20" cy="21" r="1"></circle><path d="M1 1h4l2.68 13.39a2 2 0 0 0 2 1.61h9.72a2 2 0 0 0 2-1.61L23 6H6"></path></svg>
+                            <span data-cart-count="" class="t4s-pa t4s-op-0 t4s-ts-op t4s-count-box">0</span>
+                        </span><span class="t4s-toolbar-label">Cart</span></a>
+                </div><div class="t4s-toolbart-account t4s-toolbar-item">
+                    <a href="/account" data-drawer-delay-="" data-drawer-options="{ &quot;id&quot;:&quot;#t4s-login-sidebar&quot; }">
+                        <span class="t4s-toolbar-icon">
+                            <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="1.5" stroke-linecap="round" stroke-linejoin="round" class="feather feather-user"><path d="M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2"></path><circle cx="12" cy="7" r="4"></circle></svg>
+                        </span><span class="t4s-toolbar-label">Account</span></a>
+                </div><div class="t4s-toolbart-search t4s-toolbar-item">
+                    <a href="/search" data-drawer-delay-="" data-drawer-options="{ &quot;id&quot;:&quot;#t4s-search-hidden&quot; }">
+                        <span class="t4s-toolbar-icon">
+                            <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="1.5" stroke-linecap="round" stroke-linejoin="round" class="feather feather-search"><circle cx="11" cy="11" r="8"></circle><line x1="21" y1="21" x2="16.65" y2="16.65"></line></svg>
+                        </span><span class="t4s-toolbar-label">Search</span></a>
+                </div></div></div><div id="shopify-section-back_top" class="shopify-section t4s-section-admn2-fixed"></div><div id="shopify-section-extras" class="shopify-section t4s-section-extras t4s-section-admn2-fixed"></div><div id="shopify-section-slider_config" class="shopify-section t4s-section t4s-section-config t4s_tp_flickity t4s-section-admn-fixed"><style data-shopify="">.t4s-flicky-slider.t4s-slider-btn-cl-custom1{
+            --btn-color           : #ffffff;
+            --btn-background      : #abb1b4;
+            --btn-border          : #abb1b4;
+            --btn-color-hover     : #ffffff;
+            --btn-background-hover: #56cfe1;
+            --btn-border-hover    :#56cfe1; 
+        }
+        .t4s-flicky-slider.t4s-slider-btn-style-outline.t4s-slider-btn-cl-custom1{
+            --btn-color           : #abb1b4;
+            --btn-border          : #abb1b4;
+            --btn-color-hover     : #ffffff;
+            --btn-background-hover : #56cfe1;
+        }
+        .t4s-flicky-slider.t4s-slider-btn-style-simple.t4s-slider-btn-cl-custom1{
+            --btn-color           : #abb1b4;
+            --btn-border          : #abb1b4;
+            --btn-color-hover     : #56cfe1;
+            --btn-border-hover    : #56cfe1;
+        }
+        .t4s-flicky-slider.t4s-dots-cl-custom1{
+            --dots-background      : #abb1b4;
+            --dots-background2      : #ffffff;
+        }
+        .t4s-dots-style-number.t4s-dots-cl-custom1 {
+            --dots-cl: #ffffff;
+            --bg-dots-cl: #abb1b4;
+        }</style></div><div id="t4s-snow_ef" class="t4s-dn"></div><div id="t4s-assets-pre" class="t4s-d-none"></div><div id="t4s-append-component" class="t4s-d-none"></div><link href="//shooz.pk/cdn/shop/t/7/assets/login-sidebar.css?v=162280350561165346861716281116" rel="stylesheet" media="all" onload="this.media='all'">
+<div id="t4s-login-sidebar" class="t4s-drawer t4s-drawer__right" aria-hidden="true"><link href="//shooz.pk/cdn/shop/t/7/assets/customer.min.css?v=114454502383696773071716281115" rel="stylesheet" type="text/css" media="all">
+<link href="//shooz.pk/cdn/shop/t/7/assets/button-style.css?v=14410007395220421991716281114" rel="stylesheet" type="text/css" media="all">
+<link href="//shooz.pk/cdn/shop/t/7/assets/custom-effect.css?v=68323854132956845141716281115" rel="stylesheet" media="all" onload="this.media='all'"><div class="t4s-drawer__header">
+      <span class="is--login" aria-hidden="false">LOGIN</span>
+      <span class="is--recover" aria-hidden="true">Reset your password</span>
+      <span class="is--create" aria-hidden="true">Register</span>
+      <button class="t4s-drawer__close" data-drawer-close="" aria-label="Close sidebar"><svg class="t4s-iconsvg-close" role="presentation" viewBox="0 0 16 14"><path d="M15 0L1 14m14 0L1 0" stroke="currentColor" fill="none" fill-rule="evenodd"></path></svg></button>
+   </div>
+   <div class="t4s-drawer__content">
+      <div class="t4s-drawer__main">
+         <div data-t4s-scroll-me="" class="t4s-drawer__scroll t4s-current-scrollbar"><div id="recover_login-sidebar" class="t4s-content-login-sidebar is--recover t4s-text-start" aria-hidden="true">
+                <p>Lost your password? Please enter your email address. You will receive a link to create a new password via email.</p><form method="post" action="/account/recover" id="recover_customer_passwordlogin-sidebar" accept-charset="UTF-8"><input type="hidden" name="form_type" value="recover_customer_password"><input type="hidden" name="utf8" value="✓"><div class="t4s_field t4s-pr">
+                    <input type="email" class="t4s_frm_input t4s_mb_30" value="" name="email" id="RecoverEmail" autocorrect="off" autocapitalize="off" autocomplete="email" placeholder="Email address">
+                    <label for="RecoverEmail">
+                      Email address
+                    </label>
+                  </div><div class="t4s_field t4s_mb_20">
+                    <button class="t4s_btn_submmit t4s-btn t4s-btn-base t4s-btn-full-width t4s-btn-style-default t4s-btn-size-medium t4s-btn-color-primary t4s-btn-effect-default">Reset Password</button>
+                  </div>
+                  <a class="t4s-d-inline-block" data-login-sidebar="login" href="#login_login-sidebar">Cancel </a></form></div><div id="login_login-sidebar" class="t4s-content-login-sidebar is--login t4s-text-start" aria-hidden="false"><form method="post" action="/account/login" id="customer_loginlogin-sidebar" accept-charset="UTF-8" data-login-with-shop-sign-in="true" novalidate="novalidate"><input type="hidden" name="form_type" value="customer_login"><input type="hidden" name="utf8" value="✓"><input type="hidden" name="checkout_url" value="/"><div class="t4s_field t4s-pr t4s_mb_30">        
+                    <input class="t4s_frm_input" type="email" name="customer[email]" id="CustomerEmail" autocomplete="email" autocorrect="off" autocapitalize="off" placeholder="Email">
+                    <label for="CustomerEmail">
+                      Email <span class="required">*</span>
+                    </label>
+                  </div><div class="t4s_field t4s-pr t4s_mb_10">          
+                      <input class="t4s_frm_input" type="password" value="" name="customer[password]" id="CustomerPassword" autocomplete="current-password" placeholder="Password">
+                      <label for="CustomerPassword">
+                        Password <span class="required">*</span>
+                      </label>
+                    </div>
+
+                    <a href="#recover_login-sidebar" data-login-sidebar="recover" class="t4s-d-block t4s_mb_30">Forgot your password?</a><div class="t4s_field t4s_mb_20">
+                    <button class="t4s_btn_submmit t4s-btn t4s-btn-base t4s-btn-full-width t4s-btn-style-default t4s-btn-size-medium t4s-btn-color-primary t4s-btn-effect-default">Sign In</button>
+                  </div>
+                  <a class="t4s-d-inline-block" data-login-sidebar="create" href="/account/register"> New customer? Create your account</a></form></div><div id="create_login-sidebar" class="t4s-content-login-sidebar is--create t4s-text-start" data-showing="create" aria-hidden="true"><form method="post" action="/account" id="customer_createlogin-sidebar" accept-charset="UTF-8" data-login-with-shop-sign-up="true" novalidate="novalidate" class="t4s-w-100"><input type="hidden" name="form_type" value="create_customer"><input type="hidden" name="utf8" value="✓"><div class="t4s_field t4s-pr t4s_mb_30">      
+                     <input class="t4s_frm_input" type="text" name="customer[first_name]" id="RegisterForm-FirstName" autocomplete="given-name" placeholder="First Name">
+                        <label for="RegisterForm-FirstName">
+                          First Name
+                        </label>
+                   </div>
+                   <div class="t4s_field t4s-pr t4s_mb_30">
+                     <input class="t4s_frm_input" type="text" name="customer[last_name]" id="RegisterForm-LastName" autocomplete="family-name" placeholder="Last Name">
+                     <label for="RegisterForm-LastName">
+                       Last Name
+                     </label>
+                   </div>
+                   <div class="t4s_field t4s-pr t4s_mb_30">
+                     <input class="t4s_frm_input" type="email" name="customer[email]" id="RegisterForm-email" spellcheck="false" autocapitalize="off" autocomplete="email" aria-required="true" placeholder="Email">
+                     <label for="RegisterForm-email">
+                       Email <span class="required">*</span>
+                     </label>
+                   </div><div class="t4s_field t4s-pr t4s_mb_30">     
+                     <input class="t4s_frm_input" type="password" name="customer[password]" id="RegisterForm-password" aria-required="true" placeholder="Password">
+                     <label for="RegisterForm-password">
+                       Password <span class="required">*</span>
+                     </label>
+                   </div><div class="t4s_field t4s_mb_20">
+                     <button class="t4s_btn_submmit t4s-btn t4s-btn-base t4s-btn-full-width t4s-btn-style-default t4s-btn-size-medium t4s-btn-color-primary t4s-btn-effect-default">Register</button>
+                   </div>
+                   <a class="t4s-d-inline-block" data-login-sidebar="login" href="/account/login"> Already have an account? Login here</a></form></div>
+
+         </div>
+      </div>
+   </div></div><link href="//shooz.pk/cdn/shop/t/7/assets/search-hidden.css?v=139922884370207432601716281116" rel="stylesheet" media="all" onload="this.media='all'">
+<div data-predictive-search="" data-sid="search-hidden" id="t4s-search-hidden" class="t4s-drawer t4s-drawer__right is--inted" aria-hidden="true"><div class="t4s-drawer__header">
+   <span class="is--login" aria-hidden="false">Search Our Site</span>
+   <button class="t4s-drawer__close" data-drawer-close="" aria-label="Close Search"><svg class="t4s-iconsvg-close" role="presentation" viewBox="0 0 16 14"><path d="M15 0L1 14m14 0L1 0" stroke="currentColor" fill="none" fill-rule="evenodd"></path></svg></button>
+</div>
+<form data-frm-search="" action="/search" method="get" class="t4s-mini-search__frm t4s-pr" role="search">
+   <input type="hidden" name="type" value="product">
+   <input type="hidden" name="options[unavailable_products]" value="last">
+   <input type="hidden" name="options[prefix]" value="last"><div class="t4s-mini-search__btns t4s-pr t4s-oh">
+      <input data-input-search="" class="t4s-mini-search__input" autocomplete="off" type="text" name="q" placeholder="Search">
+      <button data-submit-search="" class="t4s-mini-search__submit t4s-btn-loading__svg" type="submit">
+         <svg class="t4s-btn-op0" viewBox="0 0 18 19" width="16"><path fill-rule="evenodd" clip-rule="evenodd" d="M11.03 11.68A5.784 5.784 0 112.85 3.5a5.784 5.784 0 018.18 8.18zm.26 1.12a6.78 6.78 0 11.72-.7l5.4 5.4a.5.5 0 11-.71.7l-5.41-5.4z" fill="currentColor"></path></svg>
+         <div class="t4s-loading__spinner t4s-dn">
+            <svg width="16" height="16" aria-hidden="true" focusable="false" role="presentation" class="t4s-svg__spinner" viewBox="0 0 66 66" xmlns="http://www.w3.org/2000/svg"><circle class="t4s-path" fill="none" stroke-width="6" cx="33" cy="33" r="30"></circle></svg>
+         </div>
+      </button>
+   </div></form><div data-title-search="" class="t4s-mini-search__title" style="display:none"></div><div class="t4s-drawer__content">
+   <div class="t4s-drawer__main">
+      <div data-t4s-scroll-me="" class="t4s-drawer__scroll t4s-current-scrollbar">
+
+         <div data-skeleton-search="" class="t4s-skeleton_wrap t4s-dn"><div class="t4s-row t4s-space-item-inner">
+               <div class="t4s-col-auto t4s-col-item t4s-widget_img_pr"><div class="t4s-skeleton_img"></div></div>
+               <div class="t4s-col t4s-col-item t4s-widget_if_pr"><div class="t4s-skeleton_txt1"></div><div class="t4s-skeleton_txt2"></div></div>
+            </div><div class="t4s-row t4s-space-item-inner">
+               <div class="t4s-col-auto t4s-col-item t4s-widget_img_pr"><div class="t4s-skeleton_img"></div></div>
+               <div class="t4s-col t4s-col-item t4s-widget_if_pr"><div class="t4s-skeleton_txt1"></div><div class="t4s-skeleton_txt2"></div></div>
+            </div><div class="t4s-row t4s-space-item-inner">
+               <div class="t4s-col-auto t4s-col-item t4s-widget_img_pr"><div class="t4s-skeleton_img"></div></div>
+               <div class="t4s-col t4s-col-item t4s-widget_if_pr"><div class="t4s-skeleton_txt1"></div><div class="t4s-skeleton_txt2"></div></div>
+            </div><div class="t4s-row t4s-space-item-inner">
+               <div class="t4s-col-auto t4s-col-item t4s-widget_img_pr"><div class="t4s-skeleton_img"></div></div>
+               <div class="t4s-col t4s-col-item t4s-widget_if_pr"><div class="t4s-skeleton_txt1"></div><div class="t4s-skeleton_txt2"></div></div>
+            </div></div>
+         <div data-results-search="" class="t4s-mini-search__content t4s_ratioadapt"></div>
+      </div>
+   </div><div data-viewall-search="" class="t4s-drawer__bottom" style="display:none"></div></div></div>
+<template id="t4s-style-popup"><link href="//shooz.pk/cdn/shop/t/7/assets/pre_flickityt4s.min.css?v=80452565481494416591716281116" rel="stylesheet" type="text/css" media="all">
+<link href="//shooz.pk/cdn/shop/t/7/assets/main-product.css?v=134637357451055475961716281116" rel="stylesheet" type="text/css" media="all">
+<link href="//shooz.pk/cdn/shop/t/7/assets/qv-product.css?v=25894675621660097511716281116" rel="stylesheet" type="text/css" media="all">
+<link href="//shooz.pk/cdn/shop/t/7/assets/drawer.min.css?v=145899359751424787531716281115" rel="stylesheet" type="text/css" media="all">
+<link href="//shooz.pk/cdn/shop/t/7/assets/qs-product.css?v=28443009901869432391716281116" rel="stylesheet" type="text/css" media="all"></template>
+<link rel="stylesheet" href="//shooz.pk/cdn/shop/t/7/assets/theme.css?v=146515622192050358151716281117" media="all" onload="this.media='all'">
+<link rel="stylesheet" href="//shooz.pk/cdn/shop/t/7/assets/drawer.min.css?v=145899359751424787531716281115" media="all">
+<link rel="stylesheet" href="//shooz.pk/cdn/shop/t/7/assets/line-awesome.min.css?v=86766576465918945231716281116" media="all" onload="this.media='all'"><div id="shopify-block-Aajk0TllTV2lJZTdoT__15683396631634586217" class="shopify-block shopify-app-block"><script id="chat-button-container" data-horizontal-position="bottom_right" data-vertical-position="lowest" data-icon="no_icon" data-text="contact" data-color="#a90000" data-secondary-color="#fff" data-ternary-color="#6A6A6A" data-domain="shooz.pk" data-shop-domain="shooz.pk" data-external-identifier="AQ_H_5kQ0cIEz7OLZRzCvaGYIYLB5btdhBeuAk0tmWA">
+</script>
+
+
+<script src="https://cdn.shopify.com/extensions/ca001aef-6799-4e4c-bc7d-92ac861e488c/inbox-1238/assets/shopifyChatV1Widget.js" type="module" defer="" async="" data-button-color="#a90000" data-secondary-color="#fff" data-ternary-color="#6A6A6A" data-icon="no_icon" data-text="contact" data-position="bottom_right" data-vertical-position="lowest" data-shop-id="AQ_H_5kQ0cIEz7OLZRzCvaGYIYLB5btdhBeuAk0tmWA" data-shop="shooz.pk" data-shop-domain="shooz.pk"></script></div>
+
+<iframe allow="join-ad-interest-group" data-tagging-id="AW-16489076549" data-load-time="1749106905819" height="0" width="0" src="https://td.doubleclick.net/td/rul/16489076549?random=1749106905809&amp;cv=11&amp;fst=1749106905809&amp;fmt=3&amp;bg=ffffff&amp;guid=ON&amp;async=1&amp;gtm=45be5631v9216105599za200&amp;gcd=13l3l3l3l1l1&amp;dma=0&amp;tag_exp=101509157~102015666~103116026~103200004~103233427~103351869~103351871~104611962~104611964~104661466~104661468&amp;u_w=1280&amp;u_h=720&amp;url=https%3A%2F%2Fshooz.pk%2F&amp;hn=www.googleadservices.com&amp;frm=0&amp;tiba=Shooz.pk&amp;did=dN2ZkMj%2CdNTU0Yz&amp;gdid=dN2ZkMj.dNTU0Yz&amp;npa=0&amp;pscdl=noapi&amp;auid=1554430081.1749106906&amp;uaa=arm&amp;uab=64&amp;uafvl=Chromium%3B136.0.7103.25%7CHeadlessChrome%3B136.0.7103.25%7CNot.A%252FBrand%3B99.0.0.0&amp;uamb=0&amp;uam=&amp;uap=macOS&amp;uapv=14.4.0&amp;uaw=0&amp;fledge=1&amp;data=event%3Dgtag.config" style="display: none; visibility: hidden;"></iframe><iframe height="0" width="0" style="display: none; visibility: hidden;"></iframe><div tabindex="-1" aria-hidden="true" id="web-pixels-manager-sandbox-container" data-shopify-privacy="exclude" style="height: 0px !important; width: 0px !important; position: fixed !important; visibility: hidden !important; overflow: hidden !important; z-index: -100 !important; margin: 0px !important; padding: 0px !important; border: 0px !important;"><iframe tabindex="-1" aria-hidden="true" name="web-pixel-sandbox-CUSTOM-shopify-custom-pixel-LAX-c1af55d5w80908667pd8ba33fbm6f3737ec" src="https://shooz.pk/wpm@c1af55d5w80908667pd8ba33fbm6f3737ec/custom/web-pixel-shopify-custom-pixel@0420/sandbox/modern/" id="web-pixel-sandbox-CUSTOM-shopify-custom-pixel-LAX-c1af55d5w80908667pd8ba33fbm6f3737ec" sandbox="allow-scripts allow-forms" style="height: 0px !important; width: 0px !important; visibility: hidden !important;"></iframe></div><iframe allow="join-ad-interest-group" data-tagging-id="AW-16489076549" data-load-time="1749106905934" height="0" width="0" src="https://td.doubleclick.net/td/rul/16489076549?random=1749106905928&amp;cv=11&amp;fst=1749106905928&amp;fmt=3&amp;bg=ffffff&amp;guid=ON&amp;async=1&amp;gtm=45be5631v9216105599za200&amp;gcd=13l3l3l3l1l1&amp;dma=0&amp;tag_exp=101509157~102015666~103116026~103200004~103233427~103351869~103351871~104611962~104611964~104661466~104661468&amp;u_w=1280&amp;u_h=720&amp;url=https%3A%2F%2Fshooz.pk%2F&amp;hn=www.googleadservices.com&amp;frm=0&amp;tiba=Shooz.pk&amp;did=dN2ZkMj%2CdNTU0Yz&amp;gdid=dN2ZkMj.dNTU0Yz&amp;npa=0&amp;pscdl=noapi&amp;auid=1554430081.1749106906&amp;uaa=arm&amp;uab=64&amp;uafvl=Chromium%3B136.0.7103.25%7CHeadlessChrome%3B136.0.7103.25%7CNot.A%252FBrand%3B99.0.0.0&amp;uamb=0&amp;uam=&amp;uap=macOS&amp;uapv=14.4.0&amp;uaw=0&amp;fledge=1&amp;data=event%3Dform_start" style="display: none; visibility: hidden;"></iframe><ul hidden="true"><li id="a11y-new-window-message">Opens in a new window.</li><li id="a11y-external-message">Opens external website.</li><li id="a11y-new-window-external-message">Opens external website in a new window.</li></ul><div id="shopify-chat" style=""><inbox-online-store-chat title="Shopify online store chat" id="ShopifyChat" button-vertical-position="lowest" button-position="bottom_right" is-open="false" is-mobile="false" class="needsclick" style="position: fixed; bottom: 16px; z-index: 2147483647; right: 16px; height: 65px;"></inbox-online-store-chat></div><inbox-online-store-chat></inbox-online-store-chat></body></html>
\ No newline at end of file
diff --git a/src/webui/components/deep_research_agent_tab.py b/src/webui/components/deep_research_agent_tab.py
index ff455b50..40925713 100644
--- a/src/webui/components/deep_research_agent_tab.py
+++ b/src/webui/components/deep_research_agent_tab.py
@@ -69,6 +69,8 @@ async def run_deep_research(webui_manager: WebuiManager, components: Dict[Compon
     markdown_display_comp = webui_manager.get_component_by_id("deep_research_agent.markdown_display")
     markdown_download_comp = webui_manager.get_component_by_id("deep_research_agent.markdown_download")
     mcp_server_config_comp = webui_manager.get_component_by_id("deep_research_agent.mcp_server_config")
+    user_query_comp = webui_manager.get_component_by_id("deep_research_agent.user_query")
+    url_comp = webui_manager.get_component_by_id("deep_research_agent.url")
 
     # --- 1. Get Task and Settings ---
     task_topic = components.get(research_task_comp, "").strip()
@@ -77,6 +79,8 @@ async def run_deep_research(webui_manager: WebuiManager, components: Dict[Compon
     base_save_dir = components.get(save_dir_comp, "./tmp/deep_research")
     mcp_server_config_str = components.get(mcp_server_config_comp)
     mcp_config = json.loads(mcp_server_config_str) if mcp_server_config_str else None
+    user_query = components.get(user_query_comp, "").strip()
+    url = components.get(url_comp, "").strip()
 
     if not task_topic:
         gr.Warning("Please enter a research task.")
@@ -152,6 +156,8 @@ def get_setting(tab: str, key: str, default: Any = None):
         # --- 5. Start Agent Run ---
         agent_run_coro = webui_manager.dr_agent.run(
             topic=task_topic,
+            user_query=user_query,
+            url=url,
             task_id=task_id_to_resume,
             save_dir=base_save_dir,
             max_parallel_browsers=max_parallel_agents
@@ -383,6 +389,12 @@ def create_deep_research_agent_tab(webui_manager: WebuiManager):
         research_task = gr.Textbox(label="Research Task", lines=5,
                                    value="Give me a detailed travel plan to Switzerland from June 1st to 10th.",
                                    interactive=True)
+        user_query = gr.Textbox(label="User Query", lines=3,
+                               placeholder="Enter your specific query",
+                               interactive=True)
+        url = gr.Textbox(label="URL", lines=1,
+                        placeholder="Enter URL to analyze",
+                        interactive=True)
         with gr.Row():
             resume_task_id = gr.Textbox(label="Resume Task ID", value="",
                                         interactive=True)
@@ -400,6 +412,8 @@ def create_deep_research_agent_tab(webui_manager: WebuiManager):
     tab_components.update(
         dict(
             research_task=research_task,
+            user_query=user_query,
+            url=url,
             parallel_num=parallel_num,
             max_query=max_query,
             start_button=start_button,

From f1d14479ffbd2bc10795a58c2ca186e32ac07012 Mon Sep 17 00:00:00 2001
From: Mohsin Ali Irfan <mohsin.ali@codeupscale.com>
Date: Wed, 11 Jun 2025 20:33:28 +0500
Subject: [PATCH 02/38] Changed the structore of agents, merged them and made
 them work

---
 "eval \"$(ssh-agent -s)\""                    |   0
 "eval \"$(ssh-agent -s)\".pub"                |   0
 src/agent/browser_use/browser_use_agent.py    |   1 -
 .../deep_research/deep_research_agent.py      | 156 ++++++-
 src/agent/intent_classifier/agent.py          |   7 +-
 src/agent/orchestrator/agent_orchestrator.py  | 290 +++++++++++++
 src/agent/snippet_extractor/agent.py          |  20 +-
 src/webui/components/browser_use_agent_tab.py | 400 +++++-------------
 8 files changed, 543 insertions(+), 331 deletions(-)
 create mode 100644 "eval \"$(ssh-agent -s)\""
 create mode 100644 "eval \"$(ssh-agent -s)\".pub"
 create mode 100644 src/agent/orchestrator/agent_orchestrator.py

diff --git "a/eval \"$(ssh-agent -s)\"" "b/eval \"$(ssh-agent -s)\""
new file mode 100644
index 00000000..e69de29b
diff --git "a/eval \"$(ssh-agent -s)\".pub" "b/eval \"$(ssh-agent -s)\".pub"
new file mode 100644
index 00000000..e69de29b
diff --git a/src/agent/browser_use/browser_use_agent.py b/src/agent/browser_use/browser_use_agent.py
index f7f6107b..c78f38e3 100644
--- a/src/agent/browser_use/browser_use_agent.py
+++ b/src/agent/browser_use/browser_use_agent.py
@@ -26,7 +26,6 @@
         os.environ.get("SKIP_LLM_API_KEY_VERIFICATION", "false").lower()[0] in "ty1"
 )
 
-
 class BrowserUseAgent(Agent):
     def _set_tool_calling_method(self) -> ToolCallingMethod | None:
         tool_calling_method = self.settings.tool_calling_method
diff --git a/src/agent/deep_research/deep_research_agent.py b/src/agent/deep_research/deep_research_agent.py
index 75d103ec..598835d3 100644
--- a/src/agent/deep_research/deep_research_agent.py
+++ b/src/agent/deep_research/deep_research_agent.py
@@ -306,25 +306,25 @@ def create_browser_search_tool(
 
 # --- Langgraph State Definition ---
 
-class InitialStepsState(TypedDict):  #this  class will act as out State storing all the output values from the agents
-    user_query: str = " "
-    url: str = " "
+# class InitialStepsState(TypedDict):  #this  class will act as out State storing all the output values from the agents
+#     user_query: str = " "
+#     url: str = " "
     
-    intent_check: bool = False #true if the intent is QA related
-    inten_agent_msg: str = ""
+#     intent_check: bool = False #true if the intent is QA related
+#     inten_agent_msg: str = ""
 
-    webpage_check: bool = False #true if the webpage is valid
-    webpage_msg: str = ""
+#     webpage_check: bool = False #true if the webpage is valid
+#     webpage_msg: str = ""
     
-    extracted_snippet_agent_msg: str = ""
-    extracted_snippet: str = " "
-    snippet_check: bool = False #true if the snippet is available
+#     extracted_snippet_agent_msg: str = ""
+#     extracted_snippet: str = " "
+#     snippet_check: bool = False #true if the snippet is available
     
-    QA_possibility_agent_msg: str = ""
-    QA_possibility_check: bool = False #true if the QA is possible
+#     QA_possibility_agent_msg: str = ""
+#     QA_possibility_check: bool = False #true if the QA is possible
 
-    enhanced_prompt_agent_msg: str = ""
-    enhanced_prompt: str = " "
+#     enhanced_prompt_agent_msg: str = ""
+#     enhanced_prompt: str = " "
 
 class ResearchTaskItem(TypedDict):
     # step: int # Maybe step within category, or just implicit by order
@@ -345,6 +345,25 @@ class DeepResearchState(TypedDict):
     topic: str
     user_query: str
     url: str
+
+#--- Initial Steps State ---
+    intent_check: bool = False #true if the intent is QA related
+    inten_agent_msg: str = ""
+
+    webpage_check: bool = False #true if the webpage is valid
+    webpage_msg: str = ""
+    
+    extracted_snippet_agent_msg: str = ""
+    extracted_snippet: str = " "
+    snippet_check: bool = False #true if the snippet is available
+    
+    QA_possibility_agent_msg: str = ""
+    QA_possibility_check: bool = False #true if the QA is possible
+
+    enhanced_prompt_agent_msg: str = ""
+    enhanced_prompt: str = " "
+#--- End of Initial Steps State ---
+
     research_plan: List[ResearchCategoryItem]  # CHANGED
     search_results: List[Dict[str, Any]]
     llm: Any
@@ -361,7 +380,7 @@ class DeepResearchState(TypedDict):
 
 # --- Langgraph Nodes ---
 
-def intent_classifier(state: InitialStepsState) -> InitialStepsState:
+def intent_classifier(state: DeepResearchState) -> DeepResearchState:
     logger.info("\n\n INTENT CLASSIFIER NODE...\n")
         
     output = IntentClassifierAgent(state["user_query"]).run_agent()
@@ -370,7 +389,7 @@ def intent_classifier(state: InitialStepsState) -> InitialStepsState:
         
     return state # return the states values to continue the graph
     
-def webpage_checker(state: InitialStepsState) -> InitialStepsState:
+def webpage_checker(state: DeepResearchState) -> DeepResearchState:
     logger.info("\n\n WEBPAGE CHECKER NODE...\n")
     output = WebpageChecker(state["url"]).exists()
         
@@ -391,7 +410,7 @@ def _get_output_value(output, key, default=None):
         return output.get(key, default)
     return getattr(output, key, default)
 
-def snippet_extractor(state: InitialStepsState) -> InitialStepsState:
+def snippet_extractor(state: DeepResearchState) -> DeepResearchState:
     logger.info("\n\n SNIPPET EXTRACTOR  NODE...\n")
         
     output = SnippetExtractorAgent(user_prompt=state["user_query"], url=state["url"]).run_agent()
@@ -401,7 +420,7 @@ def snippet_extractor(state: InitialStepsState) -> InitialStepsState:
         
     return state
         
-def QA_possibility(state: InitialStepsState) -> InitialStepsState:
+def QA_possibility(state: DeepResearchState) -> DeepResearchState:
     logger.info("\n\n QA POSSIBILTY CHECKER AGENT...\n")
 
     output = QAPossibilityChecker(user_prompt=state["user_query"], extracted_snippet=state['extracted_snippet']).run_agent()
@@ -410,17 +429,51 @@ def QA_possibility(state: InitialStepsState) -> InitialStepsState:
 
     return state
 
-def prompt_enhancer(state: InitialStepsState) -> InitialStepsState:
+def prompt_enhancer(state: DeepResearchState) -> DeepResearchState:
     logger.info("\n\n PROMPT ENHANCER AGENT...\n")
 
     output = PromptEnhancerAgent(state["user_query"], extracted_snippet=state['extracted_snippet']).run_agent()
     state['enhanced_prompt_agent_msg'] = output.agent_msg
     state['enhanced_prompt'] = output.enhanced_prompt
 
-    # print("\n\n\n PROMPT ENHANCER OUTPUT: ", output)
-
     return state
 
+# --- langgraph edges ---
+
+def _intent_condition(state: DeepResearchState):
+        # this is our intent conditional edge 
+    intent_check = state.get("intent_check")
+    if intent_check:  # if true then we continue to snippet_extractor
+        return "webpage_checker"  # if intent is not QA related, check webpage
+    else:
+        return "end_run"  # if intent is not QA related, end the graph
+    
+    
+def _webpage_condition(state: DeepResearchState):
+        # this is our intent conditional edge 
+    webpage_check = state.get("webpage_check")
+    if webpage_check:  # if true then we continue to snippet_extractor
+            return "snippet_extractor"  # if intent is not QA related, check webpage
+    else:
+        return "end_run"  # if intent is not QA related, end the graph
+    
+def _snippet_condition(state: DeepResearchState):
+    #this is our snippet conditional edge
+    snippet_check = state.get("snippet_check")
+    if snippet_check:
+        return "QA_possibility" 
+    
+    return "end_run"  # if snippet is not available, end the graph
+
+def _QA_possibility_condition(self, state: DeepResearchState):
+    # this is our possibility conditional edge 
+    possibility_check = state.get("QA_possibility_check")
+    if possibility_check:
+        return "prompt_enhancer"
+        
+    return "end_run"  # if qa possibility is not valid, end the graph
+        
+
 
 def _load_previous_state(task_id: str, output_dir: str) -> Dict[str, Any]:
     state_updates = {}
@@ -1139,6 +1192,12 @@ def _compile_graph(self) -> StateGraph:
         workflow = StateGraph(DeepResearchState)
 
         # Add nodes
+        workflow.add_node("intent_classifier", intent_classifier)
+        workflow.add_node("webpage_checker", webpage_checker)
+        workflow.add_node("snippet_extractor", snippet_extractor)
+        workflow.add_node("QA_possibility", QA_possibility)
+        workflow.add_node("prompt_enhancer", prompt_enhancer)
+        
         workflow.add_node("plan_research", planning_node)
         workflow.add_node("execute_research", research_execution_node)
         workflow.add_node("synthesize_report", synthesis_node)
@@ -1147,7 +1206,45 @@ def _compile_graph(self) -> StateGraph:
         )  # Simple end node
 
         # Define edges
-        workflow.set_entry_point("plan_research")
+        workflow.set_entry_point("intent_classifier")
+
+        workflow.add_conditional_edges(
+            "intent_classifier",
+          _intent_condition,
+            {
+                "webpage_checker": "webpage_checker",
+               "end_run": "end_run"
+            }
+        )
+            
+        workflow.add_conditional_edges(
+            "webpage_checker",
+            _webpage_condition,
+            {
+                "snippet_extractor": "snippet_extractor",
+                "end_run": "end_run"
+            }
+                
+        )
+        workflow.add_conditional_edges(
+            "snippet_extractor",
+            _snippet_condition,
+            {
+                "QA_possibility": "QA_possibility",
+                "end_run": "end_run"
+            }
+        )
+            
+        workflow.add_conditional_edges(
+            "QA_possibility",
+           _QA_possibility_condition,
+            {
+                "prompt_enhancer": "prompt_enhancer",
+                "end_run": "end_run"
+            }
+        )
+
+        workflow.add_edge("prompt_enhancer", "plan_research")
 
         workflow.add_edge(
             "plan_research", "execute_research"
@@ -1192,6 +1289,8 @@ async def run(
         Returns:
             Dictionary containing the research results and status.
         """
+
+        print("\n\n\n\n\n\n DEEP RESEARCGH AFEBNT CALLED\n\n\n\n\n\n")
         if self.runner and not self.runner.done():
             logger.warning(
                 "Agent is already running. Please stop the current task first."
@@ -1235,6 +1334,19 @@ async def run(
             "current_task_index_in_category": 0,
             "stop_requested": False,
             "error_message": None,
+
+                # Initialize the new fields
+            "intent_check": False,
+            "inten_agent_msg": "",
+            "webpage_check": False,
+            "webpage_msg": "",
+            "extracted_snippet_agent_msg": "",
+            "extracted_snippet": "",
+            "snippet_check": False,
+            "QA_possibility_agent_msg": "",
+            "QA_possibility_check": False,
+            "enhanced_prompt_agent_msg": "",
+            "enhanced_prompt": ""
         }
 
         if task_id:
diff --git a/src/agent/intent_classifier/agent.py b/src/agent/intent_classifier/agent.py
index 498f3746..8e10fcce 100644
--- a/src/agent/intent_classifier/agent.py
+++ b/src/agent/intent_classifier/agent.py
@@ -3,14 +3,17 @@
 from .prompt import agents_prompt
 from ..main_agent.agent import run_main_agent
 import logging
+from typing import Any
+
 logger = logging.getLogger(__name__)
 
 class IntentClassifierAgent:
-    def __init__(self, user_prompt: str) -> None:
+    def __init__(self, llm: Any, user_prompt: str) -> None:
         logger.info("Initializing IntentClassifierAgent")
         self.output_pydantic_class = IntentClassifierOutput
-        self.user_prompt = user_prompt
+        self.llm = llm
         self.agent_prompt = agents_prompt
+        self.user_prompt = user_prompt
 
     def run_agent(self) -> IntentClassifierOutput:
         logger.info(f"Running Intent Classifier Agent....")
diff --git a/src/agent/orchestrator/agent_orchestrator.py b/src/agent/orchestrator/agent_orchestrator.py
new file mode 100644
index 00000000..11d403e0
--- /dev/null
+++ b/src/agent/orchestrator/agent_orchestrator.py
@@ -0,0 +1,290 @@
+import logging
+from langgraph.graph import StateGraph, START, END
+import os
+from typing import TypedDict, Any, Dict
+from browser_use.agent.views import AgentHistoryList
+
+from src.agent.intent_classifier.agent import IntentClassifierAgent
+from src.webpage.webpage_checker import WebpageChecker
+from src.agent.snippet_extractor.agent import SnippetExtractorAgent
+from src.agent.qa_possibilty_checker.agent import QAPossibilityChecker
+from src.agent.prompt_enahncer.agent import PromptEnhancerAgent
+from src.agent.browser_use.browser_use_agent import BrowserUseAgent
+
+logger = logging.getLogger(__name__)
+
+class State(TypedDict):
+    user_query: str
+    url: str
+    browser: Any
+    browser_context: Any
+    controller: Any
+
+    intent_check: bool
+    intent_agent_msg: str
+
+    webpage_check: bool
+    webpage_msg: str
+
+    extracted_snippet_agent_msg: str
+    extracted_snippet: str
+    snippet_check: bool
+
+    QA_possibility_agent_msg: str
+    QA_possibility_check: bool
+
+    enhanced_prompt_agent_msg: str
+    enhanced_prompt: str
+
+    browser_result: Any
+
+class AgentOrchestrator:
+    def __init__(
+        self,
+        llm: Any,
+        browser_config: Dict[str, Any],
+        use_vision: bool = False,
+        max_actions_per_step: int = 5,
+        generate_gif: bool = False,
+        user_query: str = "",
+        url: str = ""
+    ):
+        self.llm = llm
+        self.browser_config = browser_config
+        self.use_vision = use_vision
+        self.max_actions_per_step = max_actions_per_step
+        self.generate_gif = generate_gif
+        self.user_query = user_query
+        self.url = url
+        self.builder = StateGraph(State)
+
+        self.builder.add_node("intent_classifier", self.intent_classifier)
+        self.builder.add_node("webpage_checker", self.webpage_checker)
+        self.builder.add_node("snippet_extractor", self.snippet_extractor)
+        self.builder.add_node("QA_possibility", self.QA_possibility)
+        self.builder.add_node("prompt_enhancer", self.prompt_enhancer)
+        self.builder.add_node("browser_ui", self.browser_ui)
+
+        self.builder.add_edge(START, "intent_classifier")
+
+        self.builder.add_conditional_edges(
+            "intent_classifier",
+            self._intent_condition,
+            {
+                "webpage_checker": "webpage_checker",
+                "__end__": END
+            }
+        )
+
+        self.builder.add_conditional_edges(
+            "webpage_checker",
+            self._webpage_condition,
+            {
+                "snippet_extractor": "snippet_extractor",
+                "__end__": END
+            }
+        )
+
+        self.builder.add_conditional_edges(
+            "snippet_extractor",
+            self._snippet_condition,
+            {
+                "QA_possibility": "QA_possibility",
+                "__end__": END
+            }
+        )
+
+        self.builder.add_conditional_edges(
+            "QA_possibility",
+            self._QA_possibility_condition,
+            {
+                "prompt_enhancer": "prompt_enhancer",
+                "__end__": END
+            }
+        )
+
+        self.builder.add_edge("prompt_enhancer", "browser_ui")
+        self.builder.add_edge("browser_ui", END)
+
+        self.graph = self.builder.compile()
+        self._store_graph_image(self.graph)
+
+    def intent_classifier(self, state: State) -> State:
+        logger.info("\n\n INTENT CLASSIFIER NODE...\n")
+        output = IntentClassifierAgent(llm=self.llm, user_prompt=self.user_query).run_agent()
+        state["intent_check"] = output.intent
+        state["intent_agent_msg"] = output.agent_msg
+        return state
+
+    def webpage_checker(self, state: State) -> State:
+        logger.info("\n\n WEBPAGE CHECKER NODE...\n")
+        output = WebpageChecker(url=self.url).exists()
+        if output:
+            logger.info("Webpage exists and is valid")
+            state['webpage_msg'] = "Webpage exists and is valid"
+            state["webpage_check"] = True
+        else:
+            logger.error("Webpage does not exist or is invalid")
+            state['webpage_msg'] = "Webpage does not exists or is invalid"
+            state["webpage_check"] = False
+        return state
+
+    def _get_output_value(self, output, key, default=None):
+        if isinstance(output, dict):
+            return output.get(key, default)
+        return getattr(output, key, default)
+
+    async def snippet_extractor(self, state: State) -> State:
+        logger.info("\n\n SNIPPET EXTRACTOR NODE...\n")
+        output = await SnippetExtractorAgent(user_prompt=self.user_query, url=self.url).run_agent()
+        state['extracted_snippet_agent_msg'] = self._get_output_value(output, "agent_msg", "")
+        state['snippet_check'] = self._get_output_value(output, "snippet_check", False)
+        state['extracted_snippet'] = self._get_output_value(output, "extracted_snippet", "")
+        return state
+
+    def QA_possibility(self, state: State) -> State:
+        logger.info("\n\n QA POSSIBILTY CHECKER AGENT...\n")
+        output = QAPossibilityChecker(
+            user_prompt=self.user_query,
+            extracted_snippet=state['extracted_snippet']
+        ).run_agent()
+        state["QA_possibility_agent_msg"] = output.agent_msg
+        state["QA_possibility_check"] = output.qa_possibilty
+        return state
+
+    def prompt_enhancer(self, state: State) -> State:
+        logger.info("\n\n PROMPT ENHANCER AGENT...\n")
+        output = PromptEnhancerAgent(
+            user_prompt=self.user_query,
+            extracted_snippet=state['extracted_snippet']
+        ).run_agent()
+        state['enhanced_prompt_agent_msg'] = output.agent_msg
+        state['enhanced_prompt'] = output.enhanced_prompt
+        return state
+
+    async def browser_ui(self, state: State) -> State:
+        logger.info("\n\n BROWSER UI AGENT...\n")
+        try:
+            # Initialize BrowserUseAgent with all required parameters
+            browser_agent = BrowserUseAgent(
+                task=state["enhanced_prompt"],
+                llm=self.llm,
+                browser=state["browser"],
+                browser_context=state["browser_context"],
+                controller=state["controller"],
+                use_vision=self.use_vision,
+                max_actions_per_step=self.max_actions_per_step,
+                generate_gif=self.generate_gif,
+                register_new_step_callback=None,  # We'll handle this in the run method
+                register_done_callback=None,      # We'll handle this in the run method
+                override_system_message=None,     # Add if needed
+                extend_system_message=None,       # Add if needed
+                max_input_tokens=128000,          # Default value
+                tool_calling_method="auto",       # Default value
+                planner_llm=None,                 # Add if needed
+                use_vision_for_planner=False,     # Default value
+                source="webui"
+            )
+            
+            # Run the browser agent
+            result = await browser_agent.run(max_steps=100)
+            
+            # Store the result in state
+            state["browser_result"] = result
+            return state
+            
+        except Exception as e:
+            logger.error(f"Error in browser UI agent: {e}")
+            state["browser_result"] = None
+            return state
+
+    def _intent_condition(self, state: State) -> Any:
+        return "webpage_checker" if state.get("intent_check") else END
+
+    def _webpage_condition(self, state: State) -> Any:
+        return "snippet_extractor" if state.get("webpage_check") else END
+
+    def _snippet_condition(self, state: State) -> Any:
+        return "QA_possibility" if state.get("snippet_check") else END
+
+    def _QA_possibility_condition(self, state: State) -> Any:
+        return "prompt_enhancer" if state.get("QA_possibility_check") else END
+
+    async def run(self, task: str, browser: Any = None, browser_context: Any = None, controller: Any = None) -> AgentHistoryList:
+        try:
+            initial_state = {
+                "user_query": task,
+                "url": self.url,
+                "browser": browser,
+                "browser_context": browser_context,
+                "controller": controller
+            }
+            
+            final_state = await self.graph.ainvoke(initial_state)
+            
+            # Create a base state dictionary with default values
+            current_state = {
+                "intent_classification": {
+                    "intent": final_state.get("intent_check", False),
+                    "message": final_state.get("intent_agent_msg", "")
+                },
+                "webpage_check": {
+                    "check": final_state.get("webpage_check", False),
+                    "message": final_state.get("webpage_msg", "")
+                },
+                "snippet_extraction": {
+                    "check": final_state.get("snippet_check", False),
+                    "message": final_state.get("extracted_snippet_agent_msg", ""),
+                    "snippet": final_state.get("extracted_snippet", "")
+                },
+                "qa_possibility": {
+                    "check": final_state.get("QA_possibility_check", False),
+                    "message": final_state.get("QA_possibility_agent_msg", "")
+                },
+                "enhanced_prompt": {
+                    "prompt": final_state.get("enhanced_prompt", ""),
+                    "message": final_state.get("enhanced_prompt_agent_msg", "")
+                },
+                "evaluation_previous_goal": "Previous goal completed successfully",
+                "memory": "Task completed successfully",
+                "next_goal": "Task completed"
+            }
+            
+            return AgentHistoryList(
+                history=[
+                    {
+                        "model_output": {
+                            "current_state": current_state,
+                            "action": []  # Empty list for actions
+                        },
+                        "result": [{
+                            "type": "success",
+                            "message": final_state.get("browser_result", "Task completed successfully")
+                        }],
+                        "state": {
+                            "title": "",
+                            "tabs": [],
+                            "interacted_element": [],
+                            "url": self.url
+                        }
+                    }
+                ]
+            )
+        except Exception as e:
+            logger.error(f"Error in agent orchestration: {e}")
+            raise
+
+    def _store_graph_image(self, graph, output_path=None):
+        try:
+            base_dir = os.path.dirname(os.path.abspath(__file__))
+            output_path = output_path or os.path.join(base_dir, "qa_graph.png")
+            png_bytes = graph.get_graph().draw_mermaid_png()
+            os.makedirs(os.path.dirname(output_path), exist_ok=True)
+            with open(output_path, "wb") as f:
+                f.write(png_bytes)
+            
+            print("\n\n\n\n\n\n" , graph.get_graph().draw_mermaid(), "\n\n\n\n")
+
+            logger.info(f"Graph image saved to {output_path}")
+        except Exception as e:
+            logger.error(f"Failed to save LangGraph image: {e}")
diff --git a/src/agent/snippet_extractor/agent.py b/src/agent/snippet_extractor/agent.py
index ec04e703..6ed08086 100644
--- a/src/agent/snippet_extractor/agent.py
+++ b/src/agent/snippet_extractor/agent.py
@@ -2,7 +2,7 @@
 from .output import SnippetExtractorOutput
 from .prompt import agents_prompt
 from ..main_agent.agent import run_main_agent
-from playwright.sync_api import sync_playwright
+from playwright.async_api import async_playwright
 from bs4 import BeautifulSoup
 import os
 import tiktoken
@@ -32,17 +32,17 @@ def store_webpage_code(self) -> bool:
             logger.error(f"Error storing webpage code: {e}")
             return False
 
-    def extract_webpage(self) -> bool:
+    async def extract_webpage(self) -> bool:
         logger.info(f"Extracting webpage for URL: {self.url}")
         self.webpage_code = ""
         try:
-            with sync_playwright() as p:
-                browser = p.chromium.launch(headless=True)
-                page = browser.new_page()
-                page.goto(self.url)
-                content = page.content()
+            async with async_playwright() as p:
+                browser = await p.chromium.launch(headless=True)
+                page = await browser.new_page()
+                await page.goto(self.url)
+                content = await page.content()
                 logger.info("Webpage content fetched successfully.")
-                browser.close()
+                await browser.close()
                 logger.info("Browser closed.")
                 self.webpage_code = content
 
@@ -130,10 +130,10 @@ def chunk_element(element):
         return chunks
 
 
-    def run_agent(self) -> SnippetExtractorOutput:
+    async def run_agent(self) -> SnippetExtractorOutput:
         logger.info(f"Running Snippet Extractor Agent....")
 
-        if not self.extract_webpage():
+        if not await self.extract_webpage():
             return {
                 'actuall_snippet': "",
                 "snippet_check": False,
diff --git a/src/webui/components/browser_use_agent_tab.py b/src/webui/components/browser_use_agent_tab.py
index a488e70d..0e2ac229 100644
--- a/src/webui/components/browser_use_agent_tab.py
+++ b/src/webui/components/browser_use_agent_tab.py
@@ -23,6 +23,7 @@
 from src.controller.custom_controller import CustomController
 from src.utils import llm_provider
 from src.webui.webui_manager import WebuiManager
+from src.agent.orchestrator.agent_orchestrator import AgentOrchestrator
 
 logger = logging.getLogger(__name__)
 
@@ -276,10 +277,14 @@ async def run_agent_task(
         webui_manager: WebuiManager, components: Dict[gr.components.Component, Any]
 ) -> AsyncGenerator[Dict[gr.components.Component, Any], None]:
     """Handles the entire lifecycle of initializing and running the agent."""
+    
+    # Initialize final_update at the start
+    final_update = {}
 
     # --- Get Components ---
     # Need handles to specific UI components to update them
     user_input_comp = webui_manager.get_component_by_id("browser_use_agent.user_input")
+    url_input_comp = webui_manager.get_component_by_id("browser_use_agent.url_input")
     run_button_comp = webui_manager.get_component_by_id("browser_use_agent.run_button")
     stop_button_comp = webui_manager.get_component_by_id(
         "browser_use_agent.stop_button"
@@ -301,6 +306,7 @@ async def run_agent_task(
 
     # --- 1. Get Task and Initial UI Update ---
     task = components.get(user_input_comp, "").strip()
+    url = components.get(url_input_comp, "").strip()
     if not task:
         gr.Warning("Please enter a task.")
         yield {run_button_comp: gr.update(interactive=True)}
@@ -322,69 +328,45 @@ async def run_agent_task(
         gif_comp: gr.update(value=None),
     }
 
-    # --- Agent Settings ---
-    # Access settings values via components dict, getting IDs from webui_manager
+    # --- 2. Get Settings ---
     def get_setting(key, default=None):
         comp = webui_manager.id_to_component.get(f"agent_settings.{key}")
         return components.get(comp, default) if comp else default
 
-    override_system_prompt = get_setting("override_system_prompt") or None
-    extend_system_prompt = get_setting("extend_system_prompt") or None
-    llm_provider_name = get_setting(
-        "llm_provider", None
-    )  # Default to None if not found
-    llm_model_name = get_setting("llm_model_name", None)
+    # Main LLM Settings
+    llm_provider_name = get_setting("llm_provider") or "openai"
+    llm_model_name = get_setting("llm_model_name") or "gpt-4o"
     llm_temperature = get_setting("llm_temperature", 0.6)
-    use_vision = get_setting("use_vision", True)
-    ollama_num_ctx = get_setting("ollama_num_ctx", 16000)
     llm_base_url = get_setting("llm_base_url") or None
     llm_api_key = get_setting("llm_api_key") or None
+    ollama_num_ctx = get_setting("ollama_num_ctx", 16000)
+    use_vision = get_setting("use_vision", False)
+    max_actions = get_setting("max_actions_per_step", 5)
     max_steps = get_setting("max_steps", 100)
-    max_actions = get_setting("max_actions", 10)
-    max_input_tokens = get_setting("max_input_tokens", 128000)
-    tool_calling_str = get_setting("tool_calling_method", "auto")
-    tool_calling_method = tool_calling_str if tool_calling_str != "None" else None
-    mcp_server_config_comp = webui_manager.id_to_component.get(
-        "agent_settings.mcp_server_config"
-    )
-    mcp_server_config_str = (
-        components.get(mcp_server_config_comp) if mcp_server_config_comp else None
-    )
-    mcp_server_config = (
-        json.loads(mcp_server_config_str) if mcp_server_config_str else None
-    )
+    tool_calling_method = get_setting("tool_calling_method", "auto")
+    max_input_tokens = get_setting("max_input_tokens", 16000)
+    override_system_prompt = get_setting("override_system_prompt") or None
+    extend_system_prompt = get_setting("extend_system_prompt") or None
 
-    # Planner LLM Settings (Optional)
-    planner_llm_provider_name = get_setting("planner_llm_provider") or None
-    planner_llm = None
-    planner_use_vision = False
-    if planner_llm_provider_name:
-        planner_llm_model_name = get_setting("planner_llm_model_name")
-        planner_llm_temperature = get_setting("planner_llm_temperature", 0.6)
-        planner_ollama_num_ctx = get_setting("planner_ollama_num_ctx", 16000)
-        planner_llm_base_url = get_setting("planner_llm_base_url") or None
-        planner_llm_api_key = get_setting("planner_llm_api_key") or None
-        planner_use_vision = get_setting("planner_use_vision", False)
-
-        planner_llm = await _initialize_llm(
-            planner_llm_provider_name,
-            planner_llm_model_name,
-            planner_llm_temperature,
-            planner_llm_base_url,
-            planner_llm_api_key,
-            planner_ollama_num_ctx if planner_llm_provider_name == "ollama" else None,
-        )
+    # --- 3. Initialize LLM ---
+    logger.info(f"Initializing LLM: Provider={llm_provider_name}, Model={llm_model_name}, Temp={llm_temperature}")
+    main_llm = await _initialize_llm(
+        llm_provider_name,
+        llm_model_name,
+        llm_temperature,
+        llm_base_url,
+        llm_api_key,
+        ollama_num_ctx if llm_provider_name == "ollama" else None,
+    )
 
-    # --- Browser Settings ---
+    # --- 4. Browser Settings ---
     def get_browser_setting(key, default=None):
         comp = webui_manager.id_to_component.get(f"browser_settings.{key}")
         return components.get(comp, default) if comp else default
 
     browser_binary_path = get_browser_setting("browser_binary_path") or None
     browser_user_data_dir = get_browser_setting("browser_user_data_dir") or None
-    use_own_browser = get_browser_setting(
-        "use_own_browser", False
-    )  # Logic handled by CDP/WSS presence
+    use_own_browser = get_browser_setting("use_own_browser", False)
     keep_browser_open = get_browser_setting("keep_browser_open", False)
     headless = get_browser_setting("headless", False)
     disable_security = get_browser_setting("disable_security", False)
@@ -394,14 +376,11 @@ def get_browser_setting(key, default=None):
     wss_url = get_browser_setting("wss_url") or None
     save_recording_path = get_browser_setting("save_recording_path") or None
     save_trace_path = get_browser_setting("save_trace_path") or None
-    save_agent_history_path = get_browser_setting(
-        "save_agent_history_path", "./tmp/agent_history"
-    )
+    save_agent_history_path = get_browser_setting("save_agent_history_path", "./tmp/agent_history")
     save_download_path = get_browser_setting("save_download_path", "./tmp/downloads")
+    should_close_browser_on_finish = not keep_browser_open
 
-    stream_vw = 70
-    stream_vh = int(70 * window_h // window_w)
-
+    # Create necessary directories
     os.makedirs(save_agent_history_path, exist_ok=True)
     if save_recording_path:
         os.makedirs(save_recording_path, exist_ok=True)
@@ -410,31 +389,7 @@ def get_browser_setting(key, default=None):
     if save_download_path:
         os.makedirs(save_download_path, exist_ok=True)
 
-    # --- 2. Initialize LLM ---
-    main_llm = await _initialize_llm(
-        llm_provider_name,
-        llm_model_name,
-        llm_temperature,
-        llm_base_url,
-        llm_api_key,
-        ollama_num_ctx if llm_provider_name == "ollama" else None,
-    )
-
-    # Pass the webui_manager instance to the callback when wrapping it
-    async def ask_callback_wrapper(
-            query: str, browser_context: BrowserContext
-    ) -> Dict[str, Any]:
-        return await _ask_assistant_callback(webui_manager, query, browser_context)
-
-    if not webui_manager.bu_controller:
-        webui_manager.bu_controller = CustomController(
-            ask_assistant_callback=ask_callback_wrapper
-        )
-        await webui_manager.bu_controller.setup_mcp_client(mcp_server_config)
-
-    # --- 4. Initialize Browser and Context ---
-    should_close_browser_on_finish = not keep_browser_open
-
+    # --- 5. Initialize Browser and Context ---
     try:
         # Close existing resources if not keeping open
         if not keep_browser_open:
@@ -481,9 +436,7 @@ async def ask_callback_wrapper(
             logger.info("Creating new browser context.")
             context_config = BrowserContextConfig(
                 trace_path=save_trace_path if save_trace_path else None,
-                save_recording_path=save_recording_path
-                if save_recording_path
-                else None,
+                save_recording_path=save_recording_path if save_recording_path else None,
                 save_downloads_path=save_download_path if save_download_path else None,
                 window_height=window_h,
                 window_width=window_w,
@@ -494,7 +447,11 @@ async def ask_callback_wrapper(
                 await webui_manager.bu_browser.new_context(config=context_config)
             )
 
-        # --- 5. Initialize or Update Agent ---
+        # Initialize controller if needed
+        if not webui_manager.bu_controller:
+            webui_manager.bu_controller = CustomController()
+
+        # --- 6. Initialize or Update Agent Orchestrator ---
         webui_manager.bu_agent_task_id = str(uuid.uuid4())  # New ID for this task run
         os.makedirs(
             os.path.join(save_agent_history_path, webui_manager.bu_agent_task_id),
@@ -521,209 +478,65 @@ def done_callback_wrapper(history: AgentHistoryList):
             _handle_done(webui_manager, history)
 
         if not webui_manager.bu_agent:
-            logger.info(f"Initializing new agent for task: {task}")
+            logger.info(f"Initializing new agent orchestrator for task: {task}")
             if not webui_manager.bu_browser or not webui_manager.bu_browser_context:
                 raise ValueError(
                     "Browser or Context not initialized, cannot create agent."
                 )
-            webui_manager.bu_agent = BrowserUseAgent(
-                task=task,
+            webui_manager.bu_agent = AgentOrchestrator(
                 llm=main_llm,
-                browser=webui_manager.bu_browser,
-                browser_context=webui_manager.bu_browser_context,
-                controller=webui_manager.bu_controller,
-                register_new_step_callback=step_callback_wrapper,
-                register_done_callback=done_callback_wrapper,
+                browser_config={
+                    "headless": headless,
+                    "window_width": window_w,
+                    "window_height": window_h,
+                    "use_own_browser": use_own_browser,
+                    "browser_binary_path": browser_binary_path,
+                    "wss_url": wss_url,
+                    "cdp_url": cdp_url,
+                    "disable_security": disable_security,
+                    "url": url if url else None
+                },
                 use_vision=use_vision,
-                override_system_message=override_system_prompt,
-                extend_system_message=extend_system_prompt,
-                max_input_tokens=max_input_tokens,
                 max_actions_per_step=max_actions,
-                tool_calling_method=tool_calling_method,
-                planner_llm=planner_llm,
-                use_vision_for_planner=planner_use_vision if planner_llm else False,
-                source="webui",
+                generate_gif=gif_path,
+                user_query=task,
+                url=url if url else None
             )
-            webui_manager.bu_agent.state.agent_id = webui_manager.bu_agent_task_id
-            webui_manager.bu_agent.settings.generate_gif = gif_path
-        else:
-            webui_manager.bu_agent.state.agent_id = webui_manager.bu_agent_task_id
-            webui_manager.bu_agent.add_new_task(task)
-            webui_manager.bu_agent.settings.generate_gif = gif_path
-            webui_manager.bu_agent.browser = webui_manager.bu_browser
-            webui_manager.bu_agent.browser_context = webui_manager.bu_browser_context
-            webui_manager.bu_agent.controller = webui_manager.bu_controller
-
-        # --- 6. Run Agent Task and Stream Updates ---
-        agent_run_coro = webui_manager.bu_agent.run(max_steps=max_steps)
-        agent_task = asyncio.create_task(agent_run_coro)
-        webui_manager.bu_current_task = agent_task  # Store the task
-
-        last_chat_len = len(webui_manager.bu_chat_history)
-        while not agent_task.done():
-            is_paused = webui_manager.bu_agent.state.paused
-            is_stopped = webui_manager.bu_agent.state.stopped
-
-            # Check for pause state
-            if is_paused:
-                yield {
-                    pause_resume_button_comp: gr.update(
-                        value="▶️ Resume", interactive=True
-                    ),
-                    stop_button_comp: gr.update(interactive=True),
-                }
-                # Wait until pause is released or task is stopped/done
-                while is_paused and not agent_task.done():
-                    # Re-check agent state in loop
-                    is_paused = webui_manager.bu_agent.state.paused
-                    is_stopped = webui_manager.bu_agent.state.stopped
-                    if is_stopped:  # Stop signal received while paused
-                        break
-                    await asyncio.sleep(0.2)
-
-                if (
-                        agent_task.done() or is_stopped
-                ):  # If stopped or task finished while paused
-                    break
-
-                # If resumed, yield UI update
-                yield {
-                    pause_resume_button_comp: gr.update(
-                        value="⏸️ Pause", interactive=True
-                    ),
-                    run_button_comp: gr.update(
-                        value="⏳ Running...", interactive=False
-                    ),
-                }
-
-            # Check if agent stopped itself or stop button was pressed (which sets agent.state.stopped)
-            if is_stopped:
-                logger.info("Agent has stopped (internally or via stop button).")
-                if not agent_task.done():
-                    # Ensure the task coroutine finishes if agent just set flag
-                    try:
-                        await asyncio.wait_for(
-                            agent_task, timeout=1.0
-                        )  # Give it a moment to exit run()
-                    except asyncio.TimeoutError:
-                        logger.warning(
-                            "Agent task did not finish quickly after stop signal, cancelling."
-                        )
-                        agent_task.cancel()
-                    except Exception:  # Catch task exceptions if it errors on stop
-                        pass
-                break  # Exit the streaming loop
-
-            # Check if agent is asking for help (via response_event)
-            update_dict = {}
-            if webui_manager.bu_response_event is not None:
-                update_dict = {
-                    user_input_comp: gr.update(
-                        placeholder="Agent needs help. Enter response and submit.",
-                        interactive=True,
-                    ),
-                    run_button_comp: gr.update(
-                        value="✔️ Submit Response", interactive=True
-                    ),
-                    pause_resume_button_comp: gr.update(interactive=False),
-                    stop_button_comp: gr.update(interactive=False),
-                    chatbot_comp: gr.update(value=webui_manager.bu_chat_history),
-                }
-                last_chat_len = len(webui_manager.bu_chat_history)
-                yield update_dict
-                # Wait until response is submitted or task finishes
-                while (
-                        webui_manager.bu_response_event is not None
-                        and not agent_task.done()
-                ):
-                    await asyncio.sleep(0.2)
-                # Restore UI after response submitted or if task ended unexpectedly
-                if not agent_task.done():
-                    yield {
-                        user_input_comp: gr.update(
-                            placeholder="Agent is running...", interactive=False
-                        ),
-                        run_button_comp: gr.update(
-                            value="⏳ Running...", interactive=False
-                        ),
-                        pause_resume_button_comp: gr.update(interactive=True),
-                        stop_button_comp: gr.update(interactive=True),
-                    }
-                else:
-                    break  # Task finished while waiting for response
-
-            # Update Chatbot if new messages arrived via callbacks
-            if len(webui_manager.bu_chat_history) > last_chat_len:
-                update_dict[chatbot_comp] = gr.update(
-                    value=webui_manager.bu_chat_history
-                )
-                last_chat_len = len(webui_manager.bu_chat_history)
-
-            # Update Browser View
-            if headless and webui_manager.bu_browser_context:
-                try:
-                    screenshot_b64 = (
-                        await webui_manager.bu_browser_context.take_screenshot()
-                    )
-                    if screenshot_b64:
-                        html_content = f'<img src="data:image/jpeg;base64,{screenshot_b64}" style="width:{stream_vw}vw; height:{stream_vh}vh ; border:1px solid #ccc;">'
-                        update_dict[browser_view_comp] = gr.update(
-                            value=html_content, visible=True
-                        )
-                    else:
-                        html_content = f"<h1 style='width:{stream_vw}vw; height:{stream_vh}vh'>Waiting for browser session...</h1>"
-                        update_dict[browser_view_comp] = gr.update(
-                            value=html_content, visible=True
-                        )
-                except Exception as e:
-                    logger.debug(f"Failed to capture screenshot: {e}")
-                    update_dict[browser_view_comp] = gr.update(
-                        value="<div style='...'>Error loading view...</div>",
-                        visible=True,
-                    )
-            else:
-                update_dict[browser_view_comp] = gr.update(visible=False)
-
-            # Yield accumulated updates
-            if update_dict:
-                yield update_dict
 
-            await asyncio.sleep(0.1)  # Polling interval
+        # --- 7. Run Agent Task and Stream Updates ---
+        agent_run_coro = webui_manager.bu_agent.run(
+            task=task,
+            browser=webui_manager.bu_browser,
+            browser_context=webui_manager.bu_browser_context,
+            controller=webui_manager.bu_controller
+        )
+        agent_task = asyncio.create_task(agent_run_coro)
+        webui_manager.bu_current_task = agent_task
 
-        # --- 7. Task Finalization ---
-        webui_manager.bu_agent.state.paused = False
-        webui_manager.bu_agent.state.stopped = False
-        final_update = {}
+        # Wait for the agent to complete
         try:
-            logger.info("Agent task completing...")
-            # Await the task ensure completion and catch exceptions if not already caught
-            if not agent_task.done():
-                await agent_task  # Retrieve result/exception
-            elif agent_task.exception():  # Check if task finished with exception
-                agent_task.result()  # Raise the exception to be caught below
-            logger.info("Agent task completed processing.")
-
-            logger.info(f"Explicitly saving agent history to: {history_file}")
-            webui_manager.bu_agent.save_history(history_file)
-
-            if os.path.exists(history_file):
-                final_update[history_file_comp] = gr.File(value=history_file)
-
-            if gif_path and os.path.exists(gif_path):
-                logger.info(f"GIF found at: {gif_path}")
-                final_update[gif_comp] = gr.Image(value=gif_path)
-
-        except asyncio.CancelledError:
-            logger.info("Agent task was cancelled.")
-            if not any(
-                    "Cancelled" in msg.get("content", "")
-                    for msg in webui_manager.bu_chat_history
-                    if msg.get("role") == "assistant"
-            ):
-                webui_manager.bu_chat_history.append(
-                    {"role": "assistant", "content": "**Task Cancelled**."}
-                )
-            final_update[chatbot_comp] = gr.update(value=webui_manager.bu_chat_history)
+            history = await agent_task
+            logger.info("Agent task finished.")
+            
+            # Save history to file
+            with open(history_file, "w") as f:
+                json.dump(history.dict(), f, indent=2)
+            logger.info(f"Saved agent history to: {history_file}")
+            
+            # Initialize final_update at the start
+            final_update = {
+                chatbot_comp: gr.update(value=webui_manager.bu_chat_history),
+                run_button_comp: gr.update(interactive=True),
+                stop_button_comp: gr.update(interactive=False),
+                pause_resume_button_comp: gr.update(interactive=False),
+                history_file_comp: gr.update(value=history_file),
+            }
+            
+            if os.path.exists(gif_path):
+                final_update[gif_comp] = gr.update(value=gif_path, visible=True)
+                
+            yield final_update
+            
         except Exception as e:
             logger.error(f"Error during agent execution: {e}", exc_info=True)
             error_message = (
@@ -738,6 +551,7 @@ def done_callback_wrapper(history: AgentHistoryList):
                     {"role": "assistant", "content": error_message}
                 )
             final_update[chatbot_comp] = gr.update(value=webui_manager.bu_chat_history)
+            yield final_update
             gr.Error(f"Agent execution failed: {e}")
 
         finally:
@@ -754,31 +568,13 @@ def done_callback_wrapper(history: AgentHistoryList):
                     await webui_manager.bu_browser.close()
                     webui_manager.bu_browser = None
 
-            # --- 8. Final UI Update ---
-            final_update.update(
-                {
-                    user_input_comp: gr.update(
-                        value="",
-                        interactive=True,
-                        placeholder="Enter your next task...",
-                    ),
-                    run_button_comp: gr.update(value="▶️ Submit Task", interactive=True),
-                    stop_button_comp: gr.update(value="⏹️ Stop", interactive=False),
-                    pause_resume_button_comp: gr.update(
-                        value="⏸️ Pause", interactive=False
-                    ),
-                    clear_button_comp: gr.update(interactive=True),
-                    # Ensure final chat history is shown
-                    chatbot_comp: gr.update(value=webui_manager.bu_chat_history),
-                }
-            )
-            yield final_update
-
     except Exception as e:
         # Catch errors during setup (before agent run starts)
         logger.error(f"Error setting up agent task: {e}", exc_info=True)
         webui_manager.bu_current_task = None  # Ensure state is reset
-        yield {
+        
+        # Update final_update with error state
+        final_update.update({
             user_input_comp: gr.update(
                 interactive=True, placeholder="Error during setup. Enter task..."
             ),
@@ -790,7 +586,8 @@ def done_callback_wrapper(history: AgentHistoryList):
                 value=webui_manager.bu_chat_history
                       + [{"role": "assistant", "content": f"**Setup Error:** {e}"}]
             ),
-        }
+        })
+        yield final_update
 
 
 # --- Button Click Handlers --- (Need access to webui_manager)
@@ -945,6 +742,9 @@ async def handle_clear(webui_manager: WebuiManager):
         webui_manager.get_component_by_id("browser_use_agent.user_input"): gr.update(
             value="", placeholder="Enter your task here..."
         ),
+        webui_manager.get_component_by_id("browser_use_agent.url_input"): gr.update(
+            value="", placeholder="Enter the URL to analyze (optional)"
+        ),
         webui_manager.get_component_by_id(
             "browser_use_agent.agent_history_file"
         ): gr.update(value=None),
@@ -996,6 +796,13 @@ def create_browser_use_agent_tab(webui_manager: WebuiManager):
             interactive=True,
             elem_id="user_input",
         )
+        url_input = gr.Textbox(
+            label="Enter URL",
+            placeholder="Enter the URL to analyze (optional)",
+            lines=1,
+            interactive=True,
+            elem_id="url_input",
+        )
         with gr.Row():
             stop_button = gr.Button(
                 "⏹️ Stop", interactive=False, variant="stop", scale=2
@@ -1029,6 +836,7 @@ def create_browser_use_agent_tab(webui_manager: WebuiManager):
         dict(
             chatbot=chatbot,
             user_input=user_input,
+            url_input=url_input,
             clear_button=clear_button,
             run_button=run_button,
             stop_button=stop_button,

From c2ba960ef9132f522e5525def3af741e310fee5b Mon Sep 17 00:00:00 2001
From: Mohsin Ali Irfan <mohsin.ali@codeupscale.com>
Date: Thu, 12 Jun 2025 16:06:12 +0500
Subject: [PATCH 03/38] Enhanced Prompt enahncer agent to enahnce the prompts
 acciordingly and dealt with max iterations

---
 src/agent/orchestrator/agent_orchestrator.py |  4 +++-
 src/agent/prompt_enahncer/prompt.py          | 14 ++++++++++++--
 2 files changed, 15 insertions(+), 3 deletions(-)

diff --git a/src/agent/orchestrator/agent_orchestrator.py b/src/agent/orchestrator/agent_orchestrator.py
index 11d403e0..09ed7627 100644
--- a/src/agent/orchestrator/agent_orchestrator.py
+++ b/src/agent/orchestrator/agent_orchestrator.py
@@ -160,6 +160,8 @@ def prompt_enhancer(self, state: State) -> State:
         ).run_agent()
         state['enhanced_prompt_agent_msg'] = output.agent_msg
         state['enhanced_prompt'] = output.enhanced_prompt
+
+        logger.info(f"\n\nEnhanced prompt: {state['enhanced_prompt']}")
         return state
 
     async def browser_ui(self, state: State) -> State:
@@ -187,7 +189,7 @@ async def browser_ui(self, state: State) -> State:
             )
             
             # Run the browser agent
-            result = await browser_agent.run(max_steps=100)
+            result = await browser_agent.run(max_steps=30)
             
             # Store the result in state
             state["browser_result"] = result
diff --git a/src/agent/prompt_enahncer/prompt.py b/src/agent/prompt_enahncer/prompt.py
index c8002d7e..d5f51f99 100644
--- a/src/agent/prompt_enahncer/prompt.py
+++ b/src/agent/prompt_enahncer/prompt.py
@@ -5,14 +5,24 @@
 Your job is to analyse the user prompt, and enahnce it to perform best sqa on the web snippet accordingly.
 
 User QA prompt: "{input}"
-Extrated Web snippet: "{extracted_snippet}"
+' Extrated Web snippet ': "{extracted_snippet}"
 
 - You can always enter some sample data to test IF not entered by the user
 - Always make sure not too make the enahnced prompt too lengthy
-- The enhanced prompt must be in numbers like 1. 2.   and each number must represent the step.
+- The enhanced prompt must be in numbers like 1. 2.
 
 - Strictly make sure that the the user prompt is only instructions regarding to perform QA only.
 
+- Do not worry about tags or do not change the user quser to an extent that it makes it difficult to QA
+- Always make sure that the ' Extrated Web snippet ' is for your help, do not extract or change the user prompt by extractng text from the ' Extrated Web snippet '
+
+- Make sure just to enhance the user prompt, do not add steps like do this this then do that.
+
+- Also make sure that if the user has enetered partial prompts like "fill this fiel in the form" and then there are more field, always mention that also fill the other remaining fields carefully.
+- If some field of form are mentioned and some are not, mention them with some random text yourself please
+
+- This just does not apply to the form, but other fields as well where the user has not clearly mentioned what to do or has partially mentioned, you would need to deal with that so its easier for upcoming agents.
+
 Output Structure:
 Return the result as a JSON object in the following format ONLY:
 { 

From c3fb5b0879630fcaeebf7fe02a322b11cb147b01 Mon Sep 17 00:00:00 2001
From: Mohsin Ali Irfan <mohsin.ali@codeupscale.com>
Date: Thu, 12 Jun 2025 17:12:04 +0500
Subject: [PATCH 04/38]  Changed the bumber of max steps

---
 src/agent/orchestrator/agent_orchestrator.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/src/agent/orchestrator/agent_orchestrator.py b/src/agent/orchestrator/agent_orchestrator.py
index 09ed7627..458fec46 100644
--- a/src/agent/orchestrator/agent_orchestrator.py
+++ b/src/agent/orchestrator/agent_orchestrator.py
@@ -189,7 +189,7 @@ async def browser_ui(self, state: State) -> State:
             )
             
             # Run the browser agent
-            result = await browser_agent.run(max_steps=30)
+            result = await browser_agent.run(max_steps=25)
             
             # Store the result in state
             state["browser_result"] = result

From d3ecaaaca796536f6bd7fa35eddbc2b7591ba1c6 Mon Sep 17 00:00:00 2001
From: Mohsin Ali Irfan <mohsin.ali@codeupscale.com>
Date: Thu, 12 Jun 2025 20:40:56 +0500
Subject: [PATCH 05/38] changed the local savbing of agents history

---
 src/outputdata/output_data.py | 86 +++++++++++++++++++++--------------
 1 file changed, 53 insertions(+), 33 deletions(-)

diff --git a/src/outputdata/output_data.py b/src/outputdata/output_data.py
index 6a1786df..de0ebed6 100644
--- a/src/outputdata/output_data.py
+++ b/src/outputdata/output_data.py
@@ -1,6 +1,9 @@
 import json
 import os
 import logging
+from pathlib import Path
+import time
+
 logger = logging.getLogger(__name__)
 
 def write_data_to_file(
@@ -10,39 +13,56 @@ def write_data_to_file(
     user_input: float,
     output: str
     ) -> None:
+    try:
+        script_dir = Path(__file__).parent
+        output_file = script_dir / 'agent_execution.json'
+        
+        # initial_agents = [
+        #     "Intent Classifier Agent",
+        #     "Webpage Checker",
+        #     "Prompt Enhancer Agent",
+        #     "Snippet Extractor Agent",
+        #     "QA POSSIBILTY CHECKER",
+        # ]
 
-    result_data = {
-        "Agent Name": agents_name,
-        "Number of tries": number_of_tries,
-        "TimeTaken": time_taken,
-        "User_input": f"HumanMessage: {user_input}",
-        "Output": f"SystemMessage: {output}",
-    }
-
-    base_dir = os.path.dirname(os.path.abspath(__file__))
-    file_path = os.path.join(base_dir, "agent_execution.json")
-
-    #reading existing data if file exists, else start a new list
-    if os.path.exists(file_path):
-        try:
-            with open(file_path, "r", encoding="utf-8") as f:
-                try:
-                    all_data = json.load(f)
-                    if not isinstance(all_data, list):
-                        all_data = []
-                except json.JSONDecodeError:
-                    all_data = []
-        except Exception as e:
-            logger.error(f"Error reading file {file_path}: {e}")
-            all_data = []
-    else:
-        all_data = []
-
-    all_data.append(result_data)
+        # Create new data entry           
+        if agents_name == "Browser Use Agent":
+            new_data = {
+                "timestamp": time.strftime("%Y-%m-%d %H:%M:%S"),
+                "evaluation": user_input,
+                "memory": output,
+                "next_goal": agents_name,
+                "actions": json.loads(number_of_tries) if isinstance(number_of_tries, str) else number_of_tries
+            }
+        else:
+             new_data = {
+                "agents_name": agents_name,
+                "number_of_tries": number_of_tries,
+                "time_taken": time_taken,
+                "user_input": user_input,
+                "output": output
+            }
 
-    try:
-        with open(file_path, "w", encoding="utf-8") as f:
-            json.dump(all_data, f, indent=4)
-        logger.info(f"Data written to file....")
+        # Read existing data if file exists
+        # existing_data = []
+        # if output_file.exists():
+        #     try:
+        #         with open(output_file, 'r') as f:
+        #             content = f.read()
+        #             if content.strip():  # Check if file is not empty
+        #                 existing_data = json.loads(content)
+        #                 if not isinstance(existing_data, list):
+        #                     existing_data = [existing_data]
+        #     except json.JSONDecodeError:
+        #         existing_data = []
+        
+        # # Append new data
+        # existing_data.append(new_data)
+        
+        # Write back to file
+        with open(output_file, 'a') as f:
+            json.dump(new_data, f, indent=2)
+            f.write("}")
+            
     except Exception as e:
-        logger.error(f"Error writing to file {file_path}: {e}")
\ No newline at end of file
+        print(f"Error writing data to file: {e}") 
\ No newline at end of file

From ebd65ec74e57acdee7cb275104fc3239bf8d629f Mon Sep 17 00:00:00 2001
From: Mohsin Ali Irfan <mohsin.ali@codeupscale.com>
Date: Fri, 13 Jun 2025 16:00:59 +0500
Subject: [PATCH 06/38] Agents response saving locally along with the
 screenshots and data being displayed on the frontend

---
 src/agent/orchestrator/agent_orchestrator.py  | 29 +++++--
 src/webui/components/browser_use_agent_tab.py | 86 +++++++++++++++++--
 2 files changed, 101 insertions(+), 14 deletions(-)

diff --git a/src/agent/orchestrator/agent_orchestrator.py b/src/agent/orchestrator/agent_orchestrator.py
index 458fec46..c72260ef 100644
--- a/src/agent/orchestrator/agent_orchestrator.py
+++ b/src/agent/orchestrator/agent_orchestrator.py
@@ -47,7 +47,13 @@ def __init__(
         max_actions_per_step: int = 5,
         generate_gif: bool = False,
         user_query: str = "",
-        url: str = ""
+        url: str = "",
+        register_new_step_callback: Any = None,
+        done_callback_wrapper: Any = None,
+        override_system_prompt: Any = None,
+        extend_system_prompt: Any = None,
+        planner_llm: Any = None,
+        use_vision_for_planner: bool = False,
     ):
         self.llm = llm
         self.browser_config = browser_config
@@ -56,6 +62,15 @@ def __init__(
         self.generate_gif = generate_gif
         self.user_query = user_query
         self.url = url
+        self.register_new_step_callback = register_new_step_callback
+        self.done_callback_wrapper = done_callback_wrapper
+        self.override_system_prompt = override_system_prompt
+        self.extend_system_prompt = extend_system_prompt
+        self.planner_llm = planner_llm
+        self.use_vision_for_planner = use_vision_for_planner
+
+
+
         self.builder = StateGraph(State)
 
         self.builder.add_node("intent_classifier", self.intent_classifier)
@@ -177,14 +192,14 @@ async def browser_ui(self, state: State) -> State:
                 use_vision=self.use_vision,
                 max_actions_per_step=self.max_actions_per_step,
                 generate_gif=self.generate_gif,
-                register_new_step_callback=None,  # We'll handle this in the run method
-                register_done_callback=None,      # We'll handle this in the run method
-                override_system_message=None,     # Add if needed
-                extend_system_message=None,       # Add if needed
+                register_new_step_callback=self.register_new_step_callback,
+                register_done_callback=self.done_callback_wrapper,      # We'll handle this in the run method
+                override_system_message=self.override_system_prompt,     # Add if needed
+                extend_system_message=self.override_system_prompt,       # Add if needed
                 max_input_tokens=128000,          # Default value
                 tool_calling_method="auto",       # Default value
-                planner_llm=None,                 # Add if needed
-                use_vision_for_planner=False,     # Default value
+                planner_llm=self.planner_llm,                 # Add if needed
+                use_vision_for_planner=self.use_vision_for_planner,     # Default value
                 source="webui"
             )
             
diff --git a/src/webui/components/browser_use_agent_tab.py b/src/webui/components/browser_use_agent_tab.py
index 0e2ac229..c09e152e 100644
--- a/src/webui/components/browser_use_agent_tab.py
+++ b/src/webui/components/browser_use_agent_tab.py
@@ -24,6 +24,8 @@
 from src.utils import llm_provider
 from src.webui.webui_manager import WebuiManager
 from src.agent.orchestrator.agent_orchestrator import AgentOrchestrator
+import base64
+import os
 
 logger = logging.getLogger(__name__)
 
@@ -137,6 +139,8 @@ async def _handle_new_step(
 ):
     """Callback for each step taken by the agent, including screenshot display."""
 
+    # print("\n\n\n\n\n HANDLE NEW STEP CALLED\n\n\n\n\n")
+
     # Use the correct chat history attribute name from the user's code
     if not hasattr(webui_manager, "bu_chat_history"):
         logger.error(
@@ -148,17 +152,38 @@ async def _handle_new_step(
     step_num -= 1
     logger.info(f"Step {step_num} completed.")
 
+    #get the current directory
+    #and create a new directory according to the step number
+    current_dir = os.path.dirname(__file__)
+    output_data_dir = os.path.join(current_dir, "..", "..", "outputdata", "step_" + str(step_num))
+    os.makedirs(output_data_dir, exist_ok=True)
+
     # --- Screenshot Handling ---
     screenshot_html = ""
     # Ensure state.screenshot exists and is not empty before proceeding
     # Use getattr for safer access
     screenshot_data = getattr(state, "screenshot", None)
+    # print("\n\n\n\n\n SCREENSHOT DATA: ", screenshot_data, "\n\n\n\n\n")
     if screenshot_data:
         try:
             # Basic validation: check if it looks like base64
             if (
                     isinstance(screenshot_data, str) and len(screenshot_data) > 100
-            ):  # Arbitrary length check
+            ):  
+                # Decode the base64 string
+                image_to_save_locally = screenshot_data = base64.b64decode(screenshot_data)
+
+                #saving the image in the output data directory
+                image_path = os.path.join(output_data_dir, "output_image.png")
+                try:
+                    logger.info(f"Saving image to {image_path}")
+                    with open(image_path, "wb") as f:
+                        f.write(image_to_save_locally)
+                    logger.info(f"\n IMAGE SAVED TO PATH: {image_path}")
+                except Exception as e:
+                    logger.error(f"Error saving image: {e}")                
+                
+                # Arbitrary length check
                 # *** UPDATED STYLE: Removed centering, adjusted width ***
                 img_tag = f'<img src="data:image/jpeg;base64,{screenshot_data}" alt="Step {step_num} Screenshot" style="max-width: 800px; max-height: 600px; object-fit:contain;" />'
                 screenshot_html = (
@@ -186,15 +211,31 @@ async def _handle_new_step(
     step_header = f"--- **Step {step_num}** ---"
     # Combine header, image (with line break), and JSON block
     final_content = step_header + "<br/>" + screenshot_html + formatted_output
+    save_chat = {
+        "evaluation_previous_goal": getattr(output.current_state, "evaluation_previous_goal", ""),
+        "memory": getattr(output.current_state, "memory", ""),
+        "next_goal": getattr(output.current_state, "next_goal", ""),
+    }
 
     chat_message = {
         "role": "assistant",
         "content": final_content.strip(),  # Remove leading/trailing whitespace
     }
 
+    #lets store the formatted output in a file
+    agent_response_path = os.path.join(output_data_dir, "agent_response.json")
+    try:
+        logger.info(f"Saving agent response to {agent_response_path}")
+        with open(agent_response_path, "w") as f:
+            json.dump(save_chat, f)
+            logger.info(f"\n AGENT RESPONSE SAVED TO PATH: {agent_response_path}")
+    except Exception as e:
+        logger.error(f"Error saving agent response: {e}")
+
+
     # Append to the correct chat history list
     webui_manager.bu_chat_history.append(chat_message)
-
+        
     await asyncio.sleep(0.05)
 
 
@@ -269,10 +310,8 @@ async def _ask_assistant_callback(
     )
     return {"response": response}
 
-
 # --- Core Agent Execution Logic --- (Needs access to webui_manager)
 
-
 async def run_agent_task(
         webui_manager: WebuiManager, components: Dict[gr.components.Component, Any]
 ) -> AsyncGenerator[Dict[gr.components.Component, Any], None]:
@@ -307,7 +346,12 @@ async def run_agent_task(
     # --- 1. Get Task and Initial UI Update ---
     task = components.get(user_input_comp, "").strip()
     url = components.get(url_input_comp, "").strip()
-    if not task:
+
+    #lets always make sure that if the task is not empty then it should have the url in it
+    if task:
+        task += f"  url:  {url}"
+
+    else:
         gr.Warning("Please enter a task.")
         yield {run_button_comp: gr.update(interactive=True)}
         return
@@ -342,7 +386,7 @@ def get_setting(key, default=None):
     ollama_num_ctx = get_setting("ollama_num_ctx", 16000)
     use_vision = get_setting("use_vision", False)
     max_actions = get_setting("max_actions_per_step", 5)
-    max_steps = get_setting("max_steps", 100)
+    max_steps = get_setting("max_steps", 25)
     tool_calling_method = get_setting("tool_calling_method", "auto")
     max_input_tokens = get_setting("max_input_tokens", 16000)
     override_system_prompt = get_setting("override_system_prompt") or None
@@ -359,6 +403,26 @@ def get_setting(key, default=None):
         ollama_num_ctx if llm_provider_name == "ollama" else None,
     )
 
+    planner_llm_provider_name = get_setting("planner_llm_provider") or None
+    planner_llm = None
+    planner_use_vision = False
+    if planner_llm_provider_name:
+        planner_llm_model_name = get_setting("planner_llm_model_name")
+        planner_llm_temperature = get_setting("planner_llm_temperature", 0.6)
+        planner_ollama_num_ctx = get_setting("planner_ollama_num_ctx", 16000)
+        planner_llm_base_url = get_setting("planner_llm_base_url") or None
+        planner_llm_api_key = get_setting("planner_llm_api_key") or None
+        planner_use_vision = get_setting("planner_use_vision", False)
+
+        planner_llm = await _initialize_llm(
+            planner_llm_provider_name,
+            planner_llm_model_name,
+            planner_llm_temperature,
+            planner_llm_base_url,
+            planner_llm_api_key,
+            planner_ollama_num_ctx if planner_llm_provider_name == "ollama" else None,
+        )
+
     # --- 4. Browser Settings ---
     def get_browser_setting(key, default=None):
         comp = webui_manager.id_to_component.get(f"browser_settings.{key}")
@@ -472,6 +536,7 @@ def get_browser_setting(key, default=None):
         async def step_callback_wrapper(
                 state: BrowserState, output: AgentOutput, step_num: int
         ):
+            # print("\n\n\n\n\n STEP CALLBACK WRAPPER CALLED\n\n\n\n\n")
             await _handle_new_step(webui_manager, state, output, step_num)
 
         def done_callback_wrapper(history: AgentHistoryList):
@@ -500,7 +565,14 @@ def done_callback_wrapper(history: AgentHistoryList):
                 max_actions_per_step=max_actions,
                 generate_gif=gif_path,
                 user_query=task,
-                url=url if url else None
+                url=url if url else None,
+                register_new_step_callback = step_callback_wrapper,
+                done_callback_wrapper = done_callback_wrapper,
+                override_system_prompt = override_system_prompt,
+                extend_system_prompt = extend_system_prompt,
+                planner_llm = planner_llm,
+                use_vision_for_planner = planner_use_vision if planner_llm else False,
+                
             )
 
         # --- 7. Run Agent Task and Stream Updates ---

From 2557d8e1ba0d5b03fbbf3027a0c3d021670617ad Mon Sep 17 00:00:00 2001
From: Mohsin Ali Irfan <mohsin.ali@codeupscale.com>
Date: Mon, 16 Jun 2025 12:24:13 +0500
Subject: [PATCH 07/38] Changed the Intent classifier such that it either
 display a warning or completelty stop when the user ask about testing the
 UI/animation

---
 src/agent/intent_classifier/prompt.py | 26 +++++++++--
 src/outputdata/output_data.py         | 66 +++++++++++----------------
 2 files changed, 50 insertions(+), 42 deletions(-)

diff --git a/src/agent/intent_classifier/prompt.py b/src/agent/intent_classifier/prompt.py
index 08743124..0eeeced1 100644
--- a/src/agent/intent_classifier/prompt.py
+++ b/src/agent/intent_classifier/prompt.py
@@ -1,8 +1,10 @@
 agents_prompt = """
-You are an intent classification agent. Your task is to determine whether a user's query is related to QA (Quality Assurance) testing of a webpage or not.
+You are an intent classification agent. Your task is to determine whether a user query is related to QA (Quality Assurance)/ testing of a website or not.
+
+If the query is releated to QA, make sure it is not abou the UI as an test hoover effect, test color etc.
 
 Criteria:
-- Classify as **true** if the query relates to QA testing of a webpage/website.
+- Classify as *true* if the query relates to QA testing of a webpage/website.
 - Classify as **false** if the query is about something unrelated to webpage QA
 
 Examples:
@@ -22,7 +24,25 @@
 Example 4:
 User query: "Can you summarize this PDF document?"
 Output: {{ "intent": false }}
----
+
+Example 5:
+User query: "Please test if the color of the button is blue".
+Output:
+{{ 
+agent_msg: "UI elements cannot be tested"
+intent": false 
+}}
+
+Example 5:
+User query: "Please test the submit button along with the hoover animation".
+Output: 
+{{ 
+agent_msg: "WARNING: Animaton or UI elements cannot be tested. Moving forward with the new steps"
+intent": true 
+}}
+
+- If the user query involves proper functionality testing and also UI testing, output "true" with a "WARNING: UI CANNOT BE TESTED" in the agent_msg key.
+- If the user query involves just UI or animation testing, output "false" with a "UI or animations CANNOT BE TESTED" in the agent_msg key.
 
 Now classify the following user query:
 User query: "{input}"
diff --git a/src/outputdata/output_data.py b/src/outputdata/output_data.py
index de0ebed6..699051be 100644
--- a/src/outputdata/output_data.py
+++ b/src/outputdata/output_data.py
@@ -1,41 +1,45 @@
 import json
 import os
-import logging
-from pathlib import Path
 import time
-
-logger = logging.getLogger(__name__)
+from pathlib import Path
 
 def write_data_to_file(
     agents_name: str,
-    number_of_tries: str,
-    time_taken: int,
-    user_input: float,
+    number_of_tries: int,
+    time_taken: float,
+    user_input: str,
     output: str
     ) -> None:
+    """
+    Appends agent execution data to agent_execution.json in the outputdata directory.
+    Handles different formats for 'Browser Use Agent' and other agents.
+    """
     try:
         script_dir = Path(__file__).parent
         output_file = script_dir / 'agent_execution.json'
-        
-        # initial_agents = [
-        #     "Intent Classifier Agent",
-        #     "Webpage Checker",
-        #     "Prompt Enhancer Agent",
-        #     "Snippet Extractor Agent",
-        #     "QA POSSIBILTY CHECKER",
-        # ]
+        os.makedirs(script_dir, exist_ok=True)
 
-        # Create new data entry           
+        # Load existing data if file exists
+        if output_file.exists():
+            with open(output_file, 'r') as f:
+                try:
+                    data = json.load(f)
+                except json.JSONDecodeError:
+                    data = []
+        else:
+            data = []
+
+        # Create new data entry
         if agents_name == "Browser Use Agent":
             new_data = {
                 "timestamp": time.strftime("%Y-%m-%d %H:%M:%S"),
-                "evaluation": user_input,
+                "evaluation_previous_goal": user_input,
                 "memory": output,
                 "next_goal": agents_name,
-                "actions": json.loads(number_of_tries) if isinstance(number_of_tries, str) else number_of_tries
+                "actions": number_of_tries
             }
         else:
-             new_data = {
+            new_data = {
                 "agents_name": agents_name,
                 "number_of_tries": number_of_tries,
                 "time_taken": time_taken,
@@ -43,26 +47,10 @@ def write_data_to_file(
                 "output": output
             }
 
-        # Read existing data if file exists
-        # existing_data = []
-        # if output_file.exists():
-        #     try:
-        #         with open(output_file, 'r') as f:
-        #             content = f.read()
-        #             if content.strip():  # Check if file is not empty
-        #                 existing_data = json.loads(content)
-        #                 if not isinstance(existing_data, list):
-        #                     existing_data = [existing_data]
-        #     except json.JSONDecodeError:
-        #         existing_data = []
-        
-        # # Append new data
-        # existing_data.append(new_data)
-        
-        # Write back to file
+        data.append(new_data)
+
+        # Write updated data back to file
         with open(output_file, 'a') as f:
-            json.dump(new_data, f, indent=2)
-            f.write("}")
-            
+            json.dump(data, f, indent=2)
     except Exception as e:
         print(f"Error writing data to file: {e}") 
\ No newline at end of file

From c9121650493a4ead19e296c4c1bbe70f192284c1 Mon Sep 17 00:00:00 2001
From: Mohsin Ali Irfan <mohsin.ali@codeupscale.com>
Date: Mon, 16 Jun 2025 13:18:51 +0500
Subject: [PATCH 08/38] Modified the prompt enhancer agents promp to not to
 entertain the ui/animation testing

---
 src/agent/prompt_enahncer/prompt.py | 11 +++++------
 1 file changed, 5 insertions(+), 6 deletions(-)

diff --git a/src/agent/prompt_enahncer/prompt.py b/src/agent/prompt_enahncer/prompt.py
index d5f51f99..8e22463a 100644
--- a/src/agent/prompt_enahncer/prompt.py
+++ b/src/agent/prompt_enahncer/prompt.py
@@ -4,24 +4,23 @@
 
 Your job is to analyse the user prompt, and enahnce it to perform best sqa on the web snippet accordingly.
 
-User QA prompt: "{input}"
+' User QA prompt ': "{input}"
 ' Extrated Web snippet ': "{extracted_snippet}"
 
 - You can always enter some sample data to test IF not entered by the user
 - Always make sure not too make the enahnced prompt too lengthy
-- The enhanced prompt must be in numbers like 1. 2.
 
 - Strictly make sure that the the user prompt is only instructions regarding to perform QA only.
 
 - Do not worry about tags or do not change the user quser to an extent that it makes it difficult to QA
 - Always make sure that the ' Extrated Web snippet ' is for your help, do not extract or change the user prompt by extractng text from the ' Extrated Web snippet '
 
-- Make sure just to enhance the user prompt, do not add steps like do this this then do that.
+- Also make sure that if the user has enetered partial prompts like "fill this field in the form" and then there are more field, always mention that also fill the other remaining fields carefully.
 
-- Also make sure that if the user has enetered partial prompts like "fill this fiel in the form" and then there are more field, always mention that also fill the other remaining fields carefully.
-- If some field of form are mentioned and some are not, mention them with some random text yourself please
+- If the user asks to test input fiels, forms or anything that requires input data, make sure to generate random data if not provided according the extracted snippet to fill them so that it could be tested.
 
-- This just does not apply to the form, but other fields as well where the user has not clearly mentioned what to do or has partially mentioned, you would need to deal with that so its easier for upcoming agents.
+- Do not enhance the prompt to test UI/animations of a webpage please.
+- If the user has prompt to test the UI/animation, please get rid of that part in the prompt, and enhance only the functionality testing part.
 
 Output Structure:
 Return the result as a JSON object in the following format ONLY:

From e9cd9ddfb2c22d4de30f00a0a751d8e818d86c55 Mon Sep 17 00:00:00 2001
From: Mohsin Ali Irfan <mohsin.ali@codeupscale.com>
Date: Mon, 16 Jun 2025 18:08:20 +0500
Subject: [PATCH 09/38] Integrated ollama locally to run llm locally

---
 requirements.txt                             |  1 +
 src/agent/intent_classifier/agent.py         |  3 ++-
 src/agent/intent_classifier/prompt.py        | 12 ++++++++---
 src/agent/main_agent/agent.py                | 22 +++++++++++++++-----
 src/agent/orchestrator/agent_orchestrator.py | 16 +++++++++++---
 src/agent/prompt_enahncer/agent.py           |  6 ++++--
 src/agent/qa_possibilty_checker/agent.py     |  6 ++++--
 src/agent/qa_possibilty_checker/prompt.py    |  6 +++---
 src/agent/snippet_extractor/agent.py         |  6 ++++--
 src/models/models.py                         |  3 ++-
 10 files changed, 59 insertions(+), 22 deletions(-)

diff --git a/requirements.txt b/requirements.txt
index f7055242..a853cfa4 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -8,3 +8,4 @@ langchain-ibm==0.3.10
 langchain_mcp_adapters==0.0.9
 langgraph==0.3.34
 langchain-community
+langchain-ollama
\ No newline at end of file
diff --git a/src/agent/intent_classifier/agent.py b/src/agent/intent_classifier/agent.py
index 8e10fcce..168ae508 100644
--- a/src/agent/intent_classifier/agent.py
+++ b/src/agent/intent_classifier/agent.py
@@ -24,7 +24,8 @@ def run_agent(self) -> IntentClassifierOutput:
             agents_prompt=self.agent_prompt,
             input_to_prompt={
                 "input": self.user_prompt
-            }
+            },
+            model_name=self.llm
         )
         
         logger.info(f"Intent Classifier Agent finished. Output: {output}")
diff --git a/src/agent/intent_classifier/prompt.py b/src/agent/intent_classifier/prompt.py
index 0eeeced1..f26cf7d5 100644
--- a/src/agent/intent_classifier/prompt.py
+++ b/src/agent/intent_classifier/prompt.py
@@ -18,14 +18,18 @@
 Output: {{ "intent": true }}
 
 Example 3:
+User query: "please buy this on the website"
+Output: {{ "intent": true }}
+
+Example 4:
 User query: "How do I use OpenAI's API to generate text?"
 Output: {{ "intent": false }}
 
-Example 4:
+Example 5:
 User query: "Can you summarize this PDF document?"
 Output: {{ "intent": false }}
 
-Example 5:
+Example 6:
 User query: "Please test if the color of the button is blue".
 Output:
 {{ 
@@ -33,7 +37,7 @@
 intent": false 
 }}
 
-Example 5:
+Example 7:
 User query: "Please test the submit button along with the hoover animation".
 Output: 
 {{ 
@@ -47,6 +51,8 @@
 Now classify the following user query:
 User query: "{input}"
 
+- Always make sure that performing any sought of functionality would also be considered as SQA because user might sometimes just ask simply to do this/that on the website. 
+
 Output Structre:
 Return the result as a JSON object in the following format ONLY:
 { 
diff --git a/src/agent/main_agent/agent.py b/src/agent/main_agent/agent.py
index d686f9ff..27e04054 100644
--- a/src/agent/main_agent/agent.py
+++ b/src/agent/main_agent/agent.py
@@ -5,9 +5,8 @@
 import os
 import logging
 from langchain_openai import ChatOpenAI
+from langchain_ollama.chat_models import ChatOllama
 from dotenv import load_dotenv
-from langchain.prompts import PromptTemplate
-from langchain.output_parsers import PydanticOutputParser
 from langchain.prompts import ChatPromptTemplate, SystemMessagePromptTemplate, HumanMessagePromptTemplate, AIMessagePromptTemplate
 from ...outputdata.output_data import write_data_to_file
 load_dotenv()
@@ -27,17 +26,30 @@ def get_chatprompt_templates(agents_prompt: str, input_keys: list[str]) -> ChatP
         agents_prompt_template,
         user_input_template
     ])
+
+def get_llm_model(
+        model_name: Optional[AIModel],
+        output_pydantic_class
+):
+    if AIModel.Ollama_DeepSeek_14b.value in model_name.model:
+        return ChatOllama(model=AIModel.Ollama_DeepSeek_14b.value).with_structured_output(output_pydantic_class)
     
+    else:
+        #we could specify which model to use here always, for now if not deepseek then just use gpt4-o
+        return ChatOpenAI(model=AIModel.GPT_4O.value).with_structured_output(output_pydantic_class)
+
+
 def run_main_agent(
     output_pydantic_class,
     agents_name: str,
     agents_prompt: str,
     input_to_prompt: dict,
-    model_name: Optional[AIModel] = AIModel.GPT_4O,
+    model_name: Optional[str],
     ) -> Any:
 
-    llm_model = ChatOpenAI(model_name=model_name.value).with_structured_output(output_pydantic_class)
-    logger.info(f"Running agent '{agents_name}' with model: {model_name.value}")
+    llm_model = get_llm_model(model_name, output_pydantic_class)
+
+    logger.info(f"Running agent '{agents_name}' with model: {model_name}")
     
     chat_prompt = get_chatprompt_templates(agents_prompt, list(input_to_prompt.keys()))
   
diff --git a/src/agent/orchestrator/agent_orchestrator.py b/src/agent/orchestrator/agent_orchestrator.py
index c72260ef..10121ea4 100644
--- a/src/agent/orchestrator/agent_orchestrator.py
+++ b/src/agent/orchestrator/agent_orchestrator.py
@@ -69,8 +69,6 @@ def __init__(
         self.planner_llm = planner_llm
         self.use_vision_for_planner = use_vision_for_planner
 
-
-
         self.builder = StateGraph(State)
 
         self.builder.add_node("intent_classifier", self.intent_classifier)
@@ -151,15 +149,26 @@ def _get_output_value(self, output, key, default=None):
 
     async def snippet_extractor(self, state: State) -> State:
         logger.info("\n\n SNIPPET EXTRACTOR NODE...\n")
-        output = await SnippetExtractorAgent(user_prompt=self.user_query, url=self.url).run_agent()
+        
+        output = await SnippetExtractorAgent(
+            llm=self.llm, 
+            user_prompt=self.user_query, 
+            url=self.url
+            
+            ).run_agent()
         state['extracted_snippet_agent_msg'] = self._get_output_value(output, "agent_msg", "")
         state['snippet_check'] = self._get_output_value(output, "snippet_check", False)
         state['extracted_snippet'] = self._get_output_value(output, "extracted_snippet", "")
+
+        print("\n\n\n EXTRACTED SNIPPET: ", output.extracted_snippet)
+
+        
         return state
 
     def QA_possibility(self, state: State) -> State:
         logger.info("\n\n QA POSSIBILTY CHECKER AGENT...\n")
         output = QAPossibilityChecker(
+            llm=self.llm,
             user_prompt=self.user_query,
             extracted_snippet=state['extracted_snippet']
         ).run_agent()
@@ -170,6 +179,7 @@ def QA_possibility(self, state: State) -> State:
     def prompt_enhancer(self, state: State) -> State:
         logger.info("\n\n PROMPT ENHANCER AGENT...\n")
         output = PromptEnhancerAgent(
+            llm=self.llm,
             user_prompt=self.user_query,
             extracted_snippet=state['extracted_snippet']
         ).run_agent()
diff --git a/src/agent/prompt_enahncer/agent.py b/src/agent/prompt_enahncer/agent.py
index 3107a816..e07f3893 100644
--- a/src/agent/prompt_enahncer/agent.py
+++ b/src/agent/prompt_enahncer/agent.py
@@ -6,12 +6,13 @@
 logger = logging.getLogger(__name__)
 
 class PromptEnhancerAgent:
-    def __init__(self, user_prompt: str, extracted_snippet: str) -> None:
+    def __init__(self,llm: str, user_prompt: str, extracted_snippet: str) -> None:
         logger.info("Initializing PromptEnhancerAgent...")
         self.output_pydantic_class = PromptEnhancerOutput
         self.user_prompt = user_prompt
         self.agent_prompt = agents_prompt
         self.extracted_snippet = extracted_snippet
+        self.llm = llm
 
     def run_agent(self) -> PromptEnhancerOutput:        
         output = run_main_agent(
@@ -21,7 +22,8 @@ def run_agent(self) -> PromptEnhancerOutput:
             input_to_prompt={
                 "input": self.user_prompt,
                 "extracted_snippet": self.extracted_snippet
-            }
+            },
+             model_name=self.llm
         )
         
         logger.info(f"Prompt Enhancers Agent finished...")
diff --git a/src/agent/qa_possibilty_checker/agent.py b/src/agent/qa_possibilty_checker/agent.py
index 1c539b54..e04429bf 100644
--- a/src/agent/qa_possibilty_checker/agent.py
+++ b/src/agent/qa_possibilty_checker/agent.py
@@ -6,12 +6,13 @@
 logger = logging.getLogger(__name__)
 
 class QAPossibilityChecker:
-    def __init__(self, user_prompt: str, extracted_snippet: str) -> None:
+    def __init__(self, llm: str, user_prompt: str, extracted_snippet: str) -> None:
         logger.info("Initializing QAPossibilityChecker")
         self.output_pydantic_class = QAPossibiltyChecker
         self.user_prompt = user_prompt
         self.agent_prompt = agents_prompt
         self.extracted_snippet = extracted_snippet
+        self.llm = llm
 
     def run_agent(self) -> QAPossibiltyChecker:
 
@@ -22,7 +23,8 @@ def run_agent(self) -> QAPossibiltyChecker:
             input_to_prompt={
                 "input": self.user_prompt,
                 "extracted_snippet": self.extracted_snippet
-            }
+            },
+            model_name=self.llm
         )
         
         logger.info(f"QA Possibilty Checker finished Output...: {output}")
diff --git a/src/agent/qa_possibilty_checker/prompt.py b/src/agent/qa_possibilty_checker/prompt.py
index a2c7fcf4..966f79d4 100644
--- a/src/agent/qa_possibilty_checker/prompt.py
+++ b/src/agent/qa_possibilty_checker/prompt.py
@@ -2,7 +2,7 @@
 You are an amazing QA possibilty checker agent and your job is to classify if the QA test are possibile for a web page snippet or not.
 
 You will be provided with a -
-1. user prompt which are going to be tests.
+1. user prompt which are going to be tests/qa/functionality to be tested.
 2. web page snippet which will be the extracted snippet from the web page that is to be tested.
 
 Analyse the user prompt and the extracted webpage snippet and classify if the QA enterd by the user are possible on the web snippet or not.
@@ -11,14 +11,14 @@
 ' Extracte Web Page Snippet ': ' {extracted_snippet} '
 
 Output Structure:
-eturn the result as a JSON object in the following format ONLY:
+return the result as a JSON object in the following format ONLY:
 { 
     "agent_msg": "QA is possible on the extracted Snippet"
     "qa_possibilty": true 
 }
 or 
 {
-    "agent_msg": "QA is not possible on the extracted Snippet"
+    "agent_msg": "QA is not possible on the extracted Snippet (due to this reasom)"
     "qa_possibilty": false 
 }
 """
\ No newline at end of file
diff --git a/src/agent/snippet_extractor/agent.py b/src/agent/snippet_extractor/agent.py
index 6ed08086..3b59ec60 100644
--- a/src/agent/snippet_extractor/agent.py
+++ b/src/agent/snippet_extractor/agent.py
@@ -10,12 +10,13 @@
 logger = logging.getLogger(__name__)
 
 class SnippetExtractorAgent:
-    def __init__(self, user_prompt: str, url: str) -> None:
+    def __init__(self, llm: str, user_prompt: str, url: str) -> None:
         logger.info("Initializing SnippetExtractorAgent")
         self.output_pydantic_class = SnippetExtractorOutput
         self.user_prompt = user_prompt
         self.agent_prompt = agents_prompt
         self.url = url
+        self.llm = llm
 
     def store_webpage_code(self) -> bool:
         logger.info("Storing webpage code into webpage_code.html under webpage directory....")
@@ -158,7 +159,8 @@ async def run_agent(self) -> SnippetExtractorOutput:
                 input_to_prompt={
                     'input': self.user_prompt,
                     'webpage_code': chunk
-                }
+                },
+                model_name=self.llm
             )
             if output.snippet_check:
                 logger.info(f"Snippet found in chunk {i+1}")
diff --git a/src/models/models.py b/src/models/models.py
index afa76f71..4f67dfc6 100644
--- a/src/models/models.py
+++ b/src/models/models.py
@@ -4,4 +4,5 @@
 
 class AIModel(Enum):
     GPT_4 = "gpt-4"
-    GPT_4O = "gpt-4o"
\ No newline at end of file
+    GPT_4O = "gpt-4o"
+    Ollama_DeepSeek_14b = "deepseek-r1:14b"
\ No newline at end of file

From 46658c0d34f11731ff1953850e033809659b6eab Mon Sep 17 00:00:00 2001
From: Mohsin Ali Irfan <mohsin.ali@codeupscale.com>
Date: Tue, 17 Jun 2025 11:41:04 +0500
Subject: [PATCH 10/38] Local gemma model in ollama integratuion

---
 src/agent/main_agent/agent.py       | 5 +++--
 src/agent/prompt_enahncer/prompt.py | 4 ++--
 src/models/models.py                | 3 ++-
 src/utils/config.py                 | 2 +-
 4 files changed, 8 insertions(+), 6 deletions(-)

diff --git a/src/agent/main_agent/agent.py b/src/agent/main_agent/agent.py
index 27e04054..92c7115c 100644
--- a/src/agent/main_agent/agent.py
+++ b/src/agent/main_agent/agent.py
@@ -33,10 +33,11 @@ def get_llm_model(
 ):
     if AIModel.Ollama_DeepSeek_14b.value in model_name.model:
         return ChatOllama(model=AIModel.Ollama_DeepSeek_14b.value).with_structured_output(output_pydantic_class)
-    
+    elif AIModel.Ollama_Gemma_7b.value in model_name.model:
+        return ChatOllama(model=AIModel.Ollama_Gemma_7b.value).with_structured_output(output_pydantic_class)
     else:
         #we could specify which model to use here always, for now if not deepseek then just use gpt4-o
-        return ChatOpenAI(model=AIModel.GPT_4O.value).with_structured_output(output_pydantic_class)
+        return ChatOpenAI(model_name=AIModel.GPT_4O.value).with_structured_output(output_pydantic_class)
 
 
 def run_main_agent(
diff --git a/src/agent/prompt_enahncer/prompt.py b/src/agent/prompt_enahncer/prompt.py
index 8e22463a..9b2a4f38 100644
--- a/src/agent/prompt_enahncer/prompt.py
+++ b/src/agent/prompt_enahncer/prompt.py
@@ -1,7 +1,5 @@
 agents_prompt = """ You are an prompt enahncer agent with over 10 years of experince in ehancing user prompt for SQA purposes.
-
 You will be provided with a user query which primarily will be a qa test to perform and extracted web snippet on which the tests will be performed.
-
 Your job is to analyse the user prompt, and enahnce it to perform best sqa on the web snippet accordingly.
 
 ' User QA prompt ': "{input}"
@@ -22,6 +20,8 @@
 - Do not enhance the prompt to test UI/animations of a webpage please.
 - If the user has prompt to test the UI/animation, please get rid of that part in the prompt, and enhance only the functionality testing part.
 
+- Make sure that the url is always mentioned in the prompt.
+
 Output Structure:
 Return the result as a JSON object in the following format ONLY:
 { 
diff --git a/src/models/models.py b/src/models/models.py
index 4f67dfc6..1a20f78f 100644
--- a/src/models/models.py
+++ b/src/models/models.py
@@ -5,4 +5,5 @@
 class AIModel(Enum):
     GPT_4 = "gpt-4"
     GPT_4O = "gpt-4o"
-    Ollama_DeepSeek_14b = "deepseek-r1:14b"
\ No newline at end of file
+    Ollama_DeepSeek_14b = "deepseek-r1:14b"
+    Ollama_Gemma_7b = "gemma:7b"
\ No newline at end of file
diff --git a/src/utils/config.py b/src/utils/config.py
index de82bb9e..b3a5a9d2 100644
--- a/src/utils/config.py
+++ b/src/utils/config.py
@@ -20,7 +20,7 @@
                "gemini-1.5-flash-8b-latest", "gemini-2.0-flash-thinking-exp-01-21", "gemini-2.0-pro-exp-02-05",
                "gemini-2.5-pro-preview-03-25", "gemini-2.5-flash-preview-04-17"],
     "ollama": ["qwen2.5:7b", "qwen2.5:14b", "qwen2.5:32b", "qwen2.5-coder:14b", "qwen2.5-coder:32b", "llama2:7b",
-               "deepseek-r1:14b", "deepseek-r1:32b"],
+               "deepseek-r1:14b", "deepseek-r1:32b", "gemma:7b"],
     "azure_openai": ["gpt-4o", "gpt-4", "gpt-3.5-turbo"],
     "mistral": ["pixtral-large-latest", "mistral-large-latest", "mistral-small-latest", "ministral-8b-latest"],
     "alibaba": ["qwen-plus", "qwen-max", "qwen-vl-max", "qwen-vl-plus", "qwen-turbo", "qwen-long"],

From fa700d50b603f3a3850fec20cd256f896b84b0a0 Mon Sep 17 00:00:00 2001
From: Mohsin Ali Irfan <mohsin.ali@codeupscale.com>
Date: Wed, 18 Jun 2025 14:56:16 +0500
Subject: [PATCH 11/38] Generation of video locally

---
 src/agent/main_agent/agent.py                 |  24 ++--
 src/agent/qa_possibilty_checker/prompt.py     |   3 +
 src/browser/browser_recorder.py               |  66 +++++++++
 src/browser/custom_browser.py                 |  20 +++
 src/browser/custom_context.py                 | 133 +++++++++++++++++-
 src/webui/components/browser_settings_tab.py  |   4 +-
 src/webui/components/browser_use_agent_tab.py |  62 ++++++--
 7 files changed, 283 insertions(+), 29 deletions(-)
 create mode 100644 src/browser/browser_recorder.py

diff --git a/src/agent/main_agent/agent.py b/src/agent/main_agent/agent.py
index 92c7115c..d935b751 100644
--- a/src/agent/main_agent/agent.py
+++ b/src/agent/main_agent/agent.py
@@ -28,16 +28,22 @@ def get_chatprompt_templates(agents_prompt: str, input_keys: list[str]) -> ChatP
     ])
 
 def get_llm_model(
-        model_name: Optional[AIModel],
+        model_name: Any,
         output_pydantic_class
-):
-    if AIModel.Ollama_DeepSeek_14b.value in model_name.model:
-        return ChatOllama(model=AIModel.Ollama_DeepSeek_14b.value).with_structured_output(output_pydantic_class)
-    elif AIModel.Ollama_Gemma_7b.value in model_name.model:
-        return ChatOllama(model=AIModel.Ollama_Gemma_7b.value).with_structured_output(output_pydantic_class)
-    else:
-        #we could specify which model to use here always, for now if not deepseek then just use gpt4-o
-        return ChatOpenAI(model_name=AIModel.GPT_4O.value).with_structured_output(output_pydantic_class)
+) -> ChatOllama | ChatOpenAI:
+    
+    if isinstance(model_name, dict):
+        if AIModel.Ollama_DeepSeek_14b.value in model_name.model:
+            return ChatOllama(model=AIModel.Ollama_DeepSeek_14b.value).with_structured_output(output_pydantic_class)
+        elif AIModel.Ollama_Gemma_7b.value in model_name.model:
+            return ChatOllama(model=AIModel.Ollama_Gemma_7b.value).with_structured_output(output_pydantic_class)
+        else:
+            #we could specify which model to use here always, for now if not deepseek then just use gpt4-o
+            return ChatOpenAI(model_name=AIModel.GPT_4O.value).with_structured_output(output_pydantic_class)
+        
+
+    #if the model is not an instance of dict, then we can assume that it is a string and return just gpt40
+    return ChatOpenAI(model_name=AIModel.GPT_4O.value).with_structured_output(output_pydantic_class)
 
 
 def run_main_agent(
diff --git a/src/agent/qa_possibilty_checker/prompt.py b/src/agent/qa_possibilty_checker/prompt.py
index 966f79d4..164fe5d2 100644
--- a/src/agent/qa_possibilty_checker/prompt.py
+++ b/src/agent/qa_possibilty_checker/prompt.py
@@ -10,6 +10,9 @@
 ' User prompt (QA prompt) ': {user_prompt}
 ' Extracte Web Page Snippet ': ' {extracted_snippet} '
 
+
+Also you stay a little lenient, do not say very rigid.
+
 Output Structure:
 return the result as a JSON object in the following format ONLY:
 { 
diff --git a/src/browser/browser_recorder.py b/src/browser/browser_recorder.py
new file mode 100644
index 00000000..e8c1d0e3
--- /dev/null
+++ b/src/browser/browser_recorder.py
@@ -0,0 +1,66 @@
+import os
+import logging
+from pathlib import Path
+from playwright.async_api import async_playwright, Browser, BrowserContext
+
+logger = logging.getLogger(__name__)
+
+class BrowserRecorder:
+    def __init__(self):
+        self.video_dir = None
+        self.context = None
+        self.is_recording = False
+        
+    async def setup_recording(self, browser: Browser) -> BrowserContext:
+        """Set up video recording right before browser launch"""
+        try:
+            # Create videos directory in outputdata
+            self.video_dir = os.path.join(os.getcwd(), "outputdata", "videos")
+            os.makedirs(self.video_dir, exist_ok=True)
+            
+            logger.info(f"\n🎥 Setting up video recording in: {self.video_dir}")
+            
+            # Create context with video recording
+            self.context = await browser.new_context(
+                record_video_dir=self.video_dir,
+                record_video_size={"width": 1280, "height": 720}
+            )
+            
+            # Verify recording is enabled
+            self.is_recording = True
+            logger.info("✅ Video recording successfully enabled")
+            
+            # Add listener for new pages
+            async def on_page(page):
+                logger.info(f"🎥 Starting recording for page: {page.url}")
+                # Force start recording for this page
+                await page.video.start()
+                
+            self.context.on("page", on_page)
+            
+            return self.context
+            
+        except Exception as e:
+            logger.error(f"❌ Failed to setup video recording: {str(e)}")
+            self.is_recording = False
+            # Return regular context if recording fails
+            return await browser.new_context()
+            
+    def is_video_recording(self) -> bool:
+        """Check if video recording is active"""
+        return self.is_recording
+        
+    async def save_recording(self):
+        """Save the recording when browser closes"""
+        if self.context and self.is_recording:
+            try:
+                # Get all pages
+                pages = self.context.pages
+                for page in pages:
+                    if page.video:
+                        # Save video for this page
+                        video_path = await page.video.path()
+                        logger.info(f"💾 Saved video recording to: {video_path}")
+                        
+            except Exception as e:
+                logger.error(f"❌ Failed to save video recording: {str(e)}") 
\ No newline at end of file
diff --git a/src/browser/custom_browser.py b/src/browser/custom_browser.py
index 1556959d..d248ed2f 100644
--- a/src/browser/custom_browser.py
+++ b/src/browser/custom_browser.py
@@ -27,12 +27,17 @@
 import socket
 
 from .custom_context import CustomBrowserContext
+from .browser_recorder import BrowserRecorder
 
 logger = logging.getLogger(__name__)
 
 
 class CustomBrowser(Browser):
 
+    def __init__(self, *args, **kwargs):
+        super().__init__(*args, **kwargs)
+        self.recorder = BrowserRecorder()
+
     async def new_context(self, config: BrowserContextConfig | None = None) -> CustomBrowserContext:
         """Create a browser context"""
         browser_config = self.config.model_dump() if self.config else {}
@@ -98,6 +103,9 @@ async def _setup_builtin_browser(self, playwright: Playwright) -> PlaywrightBrow
             ],
         }
 
+        logger.info("\n\n LAUNCHING THE BROWSER...")
+
+        # Launch browser with original settings
         browser = await browser_class.launch(
             channel='chromium',  # https://github.com/microsoft/playwright/issues/33566
             headless=self.config.headless,
@@ -106,4 +114,16 @@ async def _setup_builtin_browser(self, playwright: Playwright) -> PlaywrightBrow
             handle_sigterm=False,
             handle_sigint=False,
         )
+
+        # Set up video recording before returning browser
+        logger.info("\n🎬 Setting up browser with video recording...")
+        self.playwright_browser = browser
+        
+        # Initialize recording
+        try:
+            await self.recorder.setup_recording(browser)
+            logger.info("✅ Browser ready with video recording enabled")
+        except Exception as e:
+            logger.error(f"⚠️ Video recording setup failed: {str(e)}")
+
         return browser
diff --git a/src/browser/custom_context.py b/src/browser/custom_context.py
index 674191af..a910effa 100644
--- a/src/browser/custom_context.py
+++ b/src/browser/custom_context.py
@@ -1,22 +1,143 @@
 import json
 import logging
 import os
+from pathlib import Path
+from typing import Optional, List
 
 from browser_use.browser.browser import Browser, IN_DOCKER
 from browser_use.browser.context import BrowserContext, BrowserContextConfig
 from playwright.async_api import Browser as PlaywrightBrowser
 from playwright.async_api import BrowserContext as PlaywrightBrowserContext
-from typing import Optional
 from browser_use.browser.context import BrowserContextState
 
 logger = logging.getLogger(__name__)
 
-
 class CustomBrowserContext(BrowserContext):
     def __init__(
-            self,
-            browser: 'Browser',
-            config: BrowserContextConfig | None = None,
-            state: Optional[BrowserContextState] = None,
+        self,
+        browser: 'Browser',
+        config: BrowserContextConfig | None = None,
+        state: Optional[BrowserContextState] = None,
     ):
         super(CustomBrowserContext, self).__init__(browser=browser, config=config, state=state)
+        self._playwright_context: Optional[PlaywrightBrowserContext] = None
+
+    async def _setup_context(self) -> PlaywrightBrowserContext:
+        """Set up the Playwright context with video recording enabled"""
+        logger.info("\n[DEBUG] Creating new browser context...")
+        
+        # Create videos directory under src/outputdata
+        video_dir = os.path.join(os.path.dirname(os.path.dirname(__file__)), "outputdata", "videos")
+        os.makedirs(video_dir, exist_ok=True)
+        logger.info(f"[DEBUG] Video directory: {video_dir}")
+        
+        context = await self.browser.playwright_browser.new_context(
+            record_video_dir=video_dir,
+            record_video_size={"width": 1280, "height": 720}
+        )
+        logger.info("[DEBUG] Context created with video recording settings")
+        
+        # Add page event handler
+        async def handle_new_page(page):
+            logger.info(f"[DEBUG] New page created: {page}")
+            if hasattr(page, 'video'):
+                logger.info(f"[DEBUG] New page has video attribute")
+            else:
+                logger.info(f"[DEBUG] New page has NO video attribute")
+        
+        context.on("page", handle_new_page)
+        logger.info("[DEBUG] Page event handler added")
+        
+        return context
+
+    async def setup(self):
+        # This is the method that will be called from the browser_use_agent_tab
+        self._playwright_context = await self._setup_context()
+
+    async def _create_context(self, browser: PlaywrightBrowser) -> BrowserContext:
+        """Create a new browser context with video recording enabled"""
+        logger.info("\n[DEBUG] Creating new browser context...")
+        context = await browser.new_context(
+            record_video_dir="outputdata/videos",
+            record_video_size={"width": 1280, "height": 720}
+        )
+        logger.info("[DEBUG] Context created with video recording settings")
+        
+        # Add page event handler
+        async def handle_new_page(page):
+            logger.info(f"[DEBUG] New page created: {page}")
+            if hasattr(page, 'video'):
+                logger.info(f"[DEBUG] New page has video attribute")
+            else:
+                logger.info(f"[DEBUG] New page has NO video attribute")
+        
+        context.on("page", handle_new_page)
+        logger.info("[DEBUG] Page event handler added")
+        
+        # Check initial pages
+        for i, page in enumerate(context.pages):
+            logger.info(f"[DEBUG] Initial page {i}: {page}")
+            if hasattr(page, 'video'):
+                logger.info(f"[DEBUG] Initial page {i} has video attribute")
+            else:
+                logger.info(f"[DEBUG] Initial page {i} has NO video attribute")
+        
+        return context
+
+    async def stop_video_recording(self):
+        """Stop video recording for all pages without closing the context"""
+        if not self._playwright_context:
+            return
+
+        pages = self._playwright_context.pages
+        logger.info(f"\n[DEBUG] Stopping video recording for {len(pages)} pages")
+        
+        for i, page in enumerate(pages):
+            if hasattr(page, 'video'):
+                try:
+                    # Close the video artifact to stop recording
+                    await page.video.delete()
+                    logger.info(f"[DEBUG] Stopped video recording for page {i}")
+                except Exception as e:
+                    logger.error(f"[DEBUG] Error stopping video for page {i}: {e}")
+
+    async def save_videos(self) -> List[str]:
+        """Save video recordings without closing the context"""
+        if not self._playwright_context:
+            return []
+
+        video_paths = []
+        pages = self._playwright_context.pages
+        logger.info(f"\n[DEBUG] Saving videos for {len(pages)} pages")
+        
+        for i, page in enumerate(pages):
+            logger.info(f"[DEBUG] Checking page {i}: {page}")
+            if hasattr(page, 'video'):
+                logger.info(f"[DEBUG] Page {i} has video attribute")
+                try:
+                    video_path = await page.video.path()
+                    logger.info(f"[DEBUG] Page {i} video path: {video_path}")
+                    video_paths.append(video_path)
+                    # Stop recording after saving
+                    await page.video.delete()
+                    logger.info(f"[DEBUG] Stopped recording for page {i}")
+                except Exception as e:
+                    logger.error(f"[DEBUG] Error handling video for page {i}: {e}")
+            else:
+                logger.info(f"[DEBUG] Page {i} has NO video attribute")
+        
+        return video_paths
+
+    async def close(self):
+        """Close the context and save the video recording(s)"""
+        logger.info("\n[DEBUG] ===== CLOSE METHOD CALLED =====")
+        if self._playwright_context:
+            # Save any remaining videos
+            video_paths = await self.save_videos()
+            
+            # Close the context
+            await self._playwright_context.close()
+            self._playwright_context = None
+            
+            return video_paths
+        return None
diff --git a/src/webui/components/browser_settings_tab.py b/src/webui/components/browser_settings_tab.py
index 77fbfb52..9ef9f338 100644
--- a/src/webui/components/browser_settings_tab.py
+++ b/src/webui/components/browser_settings_tab.py
@@ -58,8 +58,8 @@ def create_browser_settings_tab(webui_manager: WebuiManager):
             )
             keep_browser_open = gr.Checkbox(
                 label="Keep Browser Open",
-                value=bool(strtobool(os.getenv("KEEP_BROWSER_OPEN", "true"))),
-                info="Keep Browser Open between Tasks",
+                value=bool(strtobool(os.getenv("KEEP_BROWSER_OPEN", "false"))),
+                info="Keep Browser Open between Tasks (if unchecked, browser will close after each task)",
                 interactive=True
             )
             headless = gr.Checkbox(
diff --git a/src/webui/components/browser_use_agent_tab.py b/src/webui/components/browser_use_agent_tab.py
index c09e152e..88eb6441 100644
--- a/src/webui/components/browser_use_agent_tab.py
+++ b/src/webui/components/browser_use_agent_tab.py
@@ -26,6 +26,7 @@
 from src.agent.orchestrator.agent_orchestrator import AgentOrchestrator
 import base64
 import os
+from playwright.async_api import async_playwright
 
 logger = logging.getLogger(__name__)
 
@@ -238,6 +239,13 @@ async def _handle_new_step(
         
     await asyncio.sleep(0.05)
 
+    # Check if video recording is active
+    if hasattr(webui_manager.bu_browser, 'recorder'):
+        if webui_manager.bu_browser.recorder.is_video_recording():
+            logger.info("🎥 Video recording is active")
+        else:
+            logger.warning("⚠️ Video recording is not active!")
+
 
 def _handle_done(webui_manager: WebuiManager, history: AgentHistoryList):
     """Callback when the agent finishes the task (success or failure)."""
@@ -494,6 +502,10 @@ def get_browser_setting(key, default=None):
                     )
                 )
             )
+            
+            # Initialize the browser and keep playwright instance alive
+            webui_manager.bu_playwright = await async_playwright().start()
+            webui_manager.bu_browser.playwright_browser = await webui_manager.bu_browser._setup_builtin_browser(webui_manager.bu_playwright)
 
         # Create Context if needed
         if not webui_manager.bu_browser_context:
@@ -507,10 +519,16 @@ def get_browser_setting(key, default=None):
             )
             if not webui_manager.bu_browser:
                 raise ValueError("Browser not initialized, cannot create context.")
+            
             webui_manager.bu_browser_context = (
                 await webui_manager.bu_browser.new_context(config=context_config)
             )
 
+            print("\n\n\n\n RECORD VIDEO.....................`: \n\n\n\n")
+            logger.info("Setting up browser context with video recording...")
+            await webui_manager.bu_browser_context.setup()
+            logger.info("Browser context setup complete with video recording enabled")
+
         # Initialize controller if needed
         if not webui_manager.bu_controller:
             webui_manager.bu_controller = CustomController()
@@ -590,6 +608,36 @@ def done_callback_wrapper(history: AgentHistoryList):
             history = await agent_task
             logger.info("Agent task finished.")
             
+            # Force close browser and save videos
+            if webui_manager.bu_browser_context:
+                logger.info("Task completed - Saving videos and closing browser...")
+                try:
+                    # Save videos first
+                    video_paths = await webui_manager.bu_browser_context.save_videos()
+                    if video_paths:
+                        for path in video_paths:
+                            logger.info(f"Video recording saved to: {path}")
+                    else:
+                        logger.warning("No video recordings found to save")
+                        
+                    # Force close everything
+                    logger.info("Closing browser context after task.")
+                    await webui_manager.bu_browser_context.close()
+                    webui_manager.bu_browser_context = None
+                    
+                    if webui_manager.bu_browser:
+                        logger.info("Closing browser after task.")
+                        await webui_manager.bu_browser.close()
+                        webui_manager.bu_browser = None
+                        
+                    if webui_manager.bu_playwright:
+                        logger.info("Closing playwright after task.")
+                        await webui_manager.bu_playwright.stop()
+                        webui_manager.bu_playwright = None
+                        
+                except Exception as e:
+                    logger.error(f"Error during cleanup: {e}")
+            
             # Save history to file
             with open(history_file, "w") as f:
                 json.dump(history.dict(), f, indent=2)
@@ -627,18 +675,8 @@ def done_callback_wrapper(history: AgentHistoryList):
             gr.Error(f"Agent execution failed: {e}")
 
         finally:
-            webui_manager.bu_current_task = None  # Clear the task reference
-
-            # Close browser/context if requested
-            if should_close_browser_on_finish:
-                if webui_manager.bu_browser_context:
-                    logger.info("Closing browser context after task.")
-                    await webui_manager.bu_browser_context.close()
-                    webui_manager.bu_browser_context = None
-                if webui_manager.bu_browser:
-                    logger.info("Closing browser after task.")
-                    await webui_manager.bu_browser.close()
-                    webui_manager.bu_browser = None
+            # Just clear the current task reference
+            webui_manager.bu_current_task = None
 
     except Exception as e:
         # Catch errors during setup (before agent run starts)

From 7ccfebda6b083b1e3299e777a8a284762448af0f Mon Sep 17 00:00:00 2001
From: Mohsin Ali Irfan <mohsin.ali@codeupscale.com>
Date: Thu, 19 Jun 2025 20:08:33 +0500
Subject: [PATCH 12/38] Debugged the webpage checker issue

---
 src/webpage/webpage_checker.py | 23 ++++++++++++++++++++---
 1 file changed, 20 insertions(+), 3 deletions(-)

diff --git a/src/webpage/webpage_checker.py b/src/webpage/webpage_checker.py
index 4b70c2dc..efcb68ec 100644
--- a/src/webpage/webpage_checker.py
+++ b/src/webpage/webpage_checker.py
@@ -11,7 +11,21 @@ def __init__(self, url) -> None:
     def exists(self):
         try:
             logger.info(f"Checking if the webpage {self.url} exists...")
-            response = requests.head(self.url, allow_redirects=True, timeout=5)
+
+            headers = {
+                "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) "
+                            "AppleWebKit/537.36 (KHTML, like Gecko) "
+                            "Chrome/114.0.0.0 Safari/537.36"
+            }
+
+            # Try HEAD request first
+            response = requests.head(self.url, headers=headers, allow_redirects=True, timeout=15)
+
+            # If HEAD gives 403 or isn't reliable, fallback to GET
+            if response.status_code == 403 or response.status_code >= 400:
+                logger.warning(f"HEAD request got status {response.status_code}, trying GET instead...")
+                response = requests.get(self.url, headers=headers, allow_redirects=True, timeout=15)
+
             write_data_to_file(
                 agents_name="Webpage Checker",
                 number_of_tries=1,
@@ -19,7 +33,10 @@ def exists(self):
                 user_input=self.url,
                 output=f"{response.status_code} - {response.reason}"
             )
-            return True if response.status_code == 200 else False
+
+            logger.info(f"Response: {response.status_code} - {response.reason}")
+            return response.status_code == 200
+
         except requests.RequestException as e:
             logger.error("Error checking URL: %s", e)
-            return False
\ No newline at end of file
+            return False

From 8058aad23174f5dcfdf343b4946480e3b87582ec Mon Sep 17 00:00:00 2001
From: Mohsin Ali Irfan <mohsin.ali@codeupscale.com>
Date: Fri, 20 Jun 2025 14:42:48 +0500
Subject: [PATCH 13/38] Changed the out structure and debugged the issue

---
 src/agent/main_agent/agent.py |  2 +-
 src/outputdata/output_data.py | 51 ++++++++++++++++++++---------------
 2 files changed, 30 insertions(+), 23 deletions(-)

diff --git a/src/agent/main_agent/agent.py b/src/agent/main_agent/agent.py
index d935b751..0d0cc5fe 100644
--- a/src/agent/main_agent/agent.py
+++ b/src/agent/main_agent/agent.py
@@ -96,7 +96,7 @@ def run_main_agent(
         number_of_tries=MAX_TRIES,
         time_taken=time_taken,
         user_input=input_to_prompt,
-        output=output
+        output=output.model_dump()
     )
     
     # print("\n\n\n\n OUTPOUT: ", output , "\n\n\n\n")
diff --git a/src/outputdata/output_data.py b/src/outputdata/output_data.py
index 699051be..2fb7e1aa 100644
--- a/src/outputdata/output_data.py
+++ b/src/outputdata/output_data.py
@@ -5,41 +5,47 @@
 
 def write_data_to_file(
     agents_name: str,
-    number_of_tries: int,
-    time_taken: float,
-    user_input: str,
-    output: str
-    ) -> None:
-    """
-    Appends agent execution data to agent_execution.json in the outputdata directory.
-    Handles different formats for 'Browser Use Agent' and other agents.
-    """
+    number_of_tries: int = 1,
+    time_taken: float = 0.0,
+    user_input=None,
+    output=None,
+    evaluation=None,
+    memory=None,
+    next_goal=None,
+    actions=None,
+    final_result=None
+) -> None:
     try:
         script_dir = Path(__file__).parent
         output_file = script_dir / 'agent_execution.json'
         os.makedirs(script_dir, exist_ok=True)
 
-        # Load existing data if file exists
+        # Read existing data safely
         if output_file.exists():
-            with open(output_file, 'r') as f:
+            with open(output_file, 'r', encoding='utf-8') as f:
                 try:
                     data = json.load(f)
+                    if not isinstance(data, list):
+                        data = []
                 except json.JSONDecodeError:
                     data = []
         else:
             data = []
 
-        # Create new data entry
+        # Construct new entry
         if agents_name == "Browser Use Agent":
-            new_data = {
+            new_entry = {
                 "timestamp": time.strftime("%Y-%m-%d %H:%M:%S"),
-                "evaluation_previous_goal": user_input,
-                "memory": output,
-                "next_goal": agents_name,
-                "actions": number_of_tries
+                "agents_name": agents_name,
+                "evaluation": evaluation,
+                "memory": memory,
+                "next_goal": next_goal,
+                "actions": actions,
+                "final_result": final_result
             }
         else:
-            new_data = {
+            new_entry = {
+                "timestamp": time.strftime("%Y-%m-%d %H:%M:%S"),
                 "agents_name": agents_name,
                 "number_of_tries": number_of_tries,
                 "time_taken": time_taken,
@@ -47,10 +53,11 @@ def write_data_to_file(
                 "output": output
             }
 
-        data.append(new_data)
+        data.append(new_entry)
 
-        # Write updated data back to file
-        with open(output_file, 'a') as f:
+        # Write entire list back safely
+        with open(output_file, 'w', encoding='utf-8') as f:
             json.dump(data, f, indent=2)
+
     except Exception as e:
-        print(f"Error writing data to file: {e}") 
\ No newline at end of file
+        print(f"❌ Error writing data to file: {e}")
\ No newline at end of file

From dbf5ab715f42b53b79bc22a5bb592a9efcc4be14 Mon Sep 17 00:00:00 2001
From: Mohsin Ali Irfan <mohsin.ali@codeupscale.com>
Date: Fri, 20 Jun 2025 14:55:23 +0500
Subject: [PATCH 14/38] Modified and debugged the agent output structure issue

---
 src/agent/main_agent/agent.py | 2 --
 src/outputdata/output_data.py | 4 ++--
 2 files changed, 2 insertions(+), 4 deletions(-)

diff --git a/src/agent/main_agent/agent.py b/src/agent/main_agent/agent.py
index 0d0cc5fe..785d115c 100644
--- a/src/agent/main_agent/agent.py
+++ b/src/agent/main_agent/agent.py
@@ -99,6 +99,4 @@ def run_main_agent(
         output=output.model_dump()
     )
     
-    # print("\n\n\n\n OUTPOUT: ", output , "\n\n\n\n")
-    logger.info(f"Agent '{agents_name}' execution data written to agent_execution.json")
     return output
\ No newline at end of file
diff --git a/src/outputdata/output_data.py b/src/outputdata/output_data.py
index 2fb7e1aa..4ee5ef7b 100644
--- a/src/outputdata/output_data.py
+++ b/src/outputdata/output_data.py
@@ -32,7 +32,7 @@ def write_data_to_file(
         else:
             data = []
 
-        # Construct new entry
+        #construct new entry
         if agents_name == "Browser Use Agent":
             new_entry = {
                 "timestamp": time.strftime("%Y-%m-%d %H:%M:%S"),
@@ -55,7 +55,7 @@ def write_data_to_file(
 
         data.append(new_entry)
 
-        # Write entire list back safely
+        #Write entire list back safely
         with open(output_file, 'w', encoding='utf-8') as f:
             json.dump(data, f, indent=2)
 

From 6995325764c4c2f32813e80a0f7a7c238b0af421 Mon Sep 17 00:00:00 2001
From: Mohsin Ali Irfan <mohsin.ali@codeupscale.com>
Date: Fri, 20 Jun 2025 15:53:55 +0500
Subject: [PATCH 15/38] Modified the intent classifier agent to also modify the
 prompt if related to UI/animation and respective changes int he agent
 orchestration

---
 src/agent/intent_classifier/output.py        |  4 +++-
 src/agent/intent_classifier/prompt.py        |  1 +
 src/agent/orchestrator/agent_orchestrator.py | 21 +++++++++++++++++---
 src/agent/snippet_extractor/prompt.py        |  6 ++++--
 4 files changed, 26 insertions(+), 6 deletions(-)

diff --git a/src/agent/intent_classifier/output.py b/src/agent/intent_classifier/output.py
index 7f93b53b..26f1004a 100644
--- a/src/agent/intent_classifier/output.py
+++ b/src/agent/intent_classifier/output.py
@@ -1,5 +1,7 @@
+from typing import Optional
 from pydantic import BaseModel
 
 class IntentClassifierOutput(BaseModel):
     agent_msg: str
-    intent: bool
\ No newline at end of file
+    intent: bool
+    modified_prompt: Optional[str] = ""
\ No newline at end of file
diff --git a/src/agent/intent_classifier/prompt.py b/src/agent/intent_classifier/prompt.py
index f26cf7d5..f59b024b 100644
--- a/src/agent/intent_classifier/prompt.py
+++ b/src/agent/intent_classifier/prompt.py
@@ -58,6 +58,7 @@
 { 
     "agent_msg": "The intent is realted to QA"
     "intent": true 
+    "prompt": new prompt without the UI or animation testing or just nothing like this ""
 } 
 or 
 {
diff --git a/src/agent/orchestrator/agent_orchestrator.py b/src/agent/orchestrator/agent_orchestrator.py
index 10121ea4..fc9063eb 100644
--- a/src/agent/orchestrator/agent_orchestrator.py
+++ b/src/agent/orchestrator/agent_orchestrator.py
@@ -22,6 +22,7 @@ class State(TypedDict):
 
     intent_check: bool
     intent_agent_msg: str
+    prompt_without_ui: str
 
     webpage_check: bool
     webpage_msg: str
@@ -127,6 +128,14 @@ def intent_classifier(self, state: State) -> State:
         output = IntentClassifierAgent(llm=self.llm, user_prompt=self.user_query).run_agent()
         state["intent_check"] = output.intent
         state["intent_agent_msg"] = output.agent_msg
+
+        new_intent_prompt = self._get_output_value(output, "modified_prompt", "")
+        if new_intent_prompt:
+            logger.info(f"Modified user query: {new_intent_prompt}")
+            state["prompt_without_ui"] = new_intent_prompt
+        else:
+            logger.info("No modifications made to the user query.")
+        
         return state
 
     def webpage_checker(self, state: State) -> State:
@@ -150,9 +159,11 @@ def _get_output_value(self, output, key, default=None):
     async def snippet_extractor(self, state: State) -> State:
         logger.info("\n\n SNIPPET EXTRACTOR NODE...\n")
         
+        #either select the user query or the modified prompt if available
+        user_prompt = state.get("prompt_without_ui", self.user_query)
         output = await SnippetExtractorAgent(
             llm=self.llm, 
-            user_prompt=self.user_query, 
+            user_prompt=user_prompt, 
             url=self.url
             
             ).run_agent()
@@ -167,9 +178,11 @@ async def snippet_extractor(self, state: State) -> State:
 
     def QA_possibility(self, state: State) -> State:
         logger.info("\n\n QA POSSIBILTY CHECKER AGENT...\n")
+
+        user_prompt = state.get("prompt_without_ui", self.user_query)
         output = QAPossibilityChecker(
             llm=self.llm,
-            user_prompt=self.user_query,
+            user_prompt=user_prompt,
             extracted_snippet=state['extracted_snippet']
         ).run_agent()
         state["QA_possibility_agent_msg"] = output.agent_msg
@@ -178,9 +191,11 @@ def QA_possibility(self, state: State) -> State:
 
     def prompt_enhancer(self, state: State) -> State:
         logger.info("\n\n PROMPT ENHANCER AGENT...\n")
+
+        user_prompt = state.get("prompt_without_ui", self.user_query)
         output = PromptEnhancerAgent(
             llm=self.llm,
-            user_prompt=self.user_query,
+            user_prompt=user_prompt,
             extracted_snippet=state['extracted_snippet']
         ).run_agent()
         state['enhanced_prompt_agent_msg'] = output.agent_msg
diff --git a/src/agent/snippet_extractor/prompt.py b/src/agent/snippet_extractor/prompt.py
index 315cb70b..f42709dc 100644
--- a/src/agent/snippet_extractor/prompt.py
+++ b/src/agent/snippet_extractor/prompt.py
@@ -162,9 +162,11 @@
 
 - Alwyas make sure only to extract the correct element according to the user prompt.
 
-If user asks to extract a particular button, extract only that paticular button, if an image, extract that image, if a form, extract that form, if a product only extract that product, if anything else, only extract that particular thing only.
+- If user asks to extract a particular button, extract only that paticular button, if an image, extract that image, if a form, extract that form, if a product only extract that product, if anything else, only extract that particular thing only.
 
-In some cases, there are elements that are clickable as well, for instance and Image or product might be clickable e.t.c. so you can extract the proper element that also shows this picture or anything is clickable e.t.c.
+- In some cases, there are elements that are clickable as well, for instance and Image or product might be clickable e.t.c. so you can extract the proper element that also shows this picture or anything is clickable e.t.c.
+
+- Pleasen always make sure to extract the correct snippet and also wait because you would be getting a lot of chunks, always extract the correct snippet
 
 Output format:
 

From 9a125cc535015d51bf62ad87762fcee1186bf6ed Mon Sep 17 00:00:00 2001
From: Mohsin Ali Irfan <mohsin.ali@codeupscale.com>
Date: Mon, 23 Jun 2025 15:12:12 +0500
Subject: [PATCH 16/38] Implementation of vision model for QA possibilty
 generator

---
 src/agent/orchestrator/agent_orchestrator.py | 68 +++++++-------
 src/agent/qa_possibilty_checker/agent.py     | 97 ++++++++++++++++----
 src/agent/qa_possibilty_checker/output.py    |  4 +-
 src/agent/qa_possibilty_checker/prompt.py    | 13 ++-
 4 files changed, 121 insertions(+), 61 deletions(-)

diff --git a/src/agent/orchestrator/agent_orchestrator.py b/src/agent/orchestrator/agent_orchestrator.py
index fc9063eb..e0f9013a 100644
--- a/src/agent/orchestrator/agent_orchestrator.py
+++ b/src/agent/orchestrator/agent_orchestrator.py
@@ -74,7 +74,7 @@ def __init__(
 
         self.builder.add_node("intent_classifier", self.intent_classifier)
         self.builder.add_node("webpage_checker", self.webpage_checker)
-        self.builder.add_node("snippet_extractor", self.snippet_extractor)
+        # self.builder.add_node("snippet_extractor", self.snippet_extractor)
         self.builder.add_node("QA_possibility", self.QA_possibility)
         self.builder.add_node("prompt_enhancer", self.prompt_enhancer)
         self.builder.add_node("browser_ui", self.browser_ui)
@@ -94,19 +94,19 @@ def __init__(
             "webpage_checker",
             self._webpage_condition,
             {
-                "snippet_extractor": "snippet_extractor",
+                "snippet_extractor": "QA_possibility",
                 "__end__": END
             }
         )
 
-        self.builder.add_conditional_edges(
-            "snippet_extractor",
-            self._snippet_condition,
-            {
-                "QA_possibility": "QA_possibility",
-                "__end__": END
-            }
-        )
+        # self.builder.add_conditional_edges(
+        #     "snippet_extractor",
+        #     self._snippet_condition,
+        #     {
+        #         "QA_possibility": "QA_possibility",
+        #         "__end__": END
+        #     }
+        # )
 
         self.builder.add_conditional_edges(
             "QA_possibility",
@@ -156,25 +156,25 @@ def _get_output_value(self, output, key, default=None):
             return output.get(key, default)
         return getattr(output, key, default)
 
-    async def snippet_extractor(self, state: State) -> State:
-        logger.info("\n\n SNIPPET EXTRACTOR NODE...\n")
+    # async def snippet_extractor(self, state: State) -> State:
+    #     logger.info("\n\n SNIPPET EXTRACTOR NODE...\n")
         
-        #either select the user query or the modified prompt if available
-        user_prompt = state.get("prompt_without_ui", self.user_query)
-        output = await SnippetExtractorAgent(
-            llm=self.llm, 
-            user_prompt=user_prompt, 
-            url=self.url
+    #     #either select the user query or the modified prompt if available
+    #     user_prompt = state.get("prompt_without_ui", self.user_query)
+    #     output = await SnippetExtractorAgent(
+    #         llm=self.llm, 
+    #         user_prompt=user_prompt, 
+    #         url=self.url
             
-            ).run_agent()
-        state['extracted_snippet_agent_msg'] = self._get_output_value(output, "agent_msg", "")
-        state['snippet_check'] = self._get_output_value(output, "snippet_check", False)
-        state['extracted_snippet'] = self._get_output_value(output, "extracted_snippet", "")
+    #         ).run_agent()
+    #     state['extracted_snippet_agent_msg'] = self._get_output_value(output, "agent_msg", "")
+    #     state['snippet_check'] = self._get_output_value(output, "snippet_check", False)
+    #     state['extracted_snippet'] = self._get_output_value(output, "extracted_snippet", "")
 
-        print("\n\n\n EXTRACTED SNIPPET: ", output.extracted_snippet)
+    #     print("\n\n\n EXTRACTED SNIPPET: ", output.extracted_snippet)
 
         
-        return state
+        # return state
 
     def QA_possibility(self, state: State) -> State:
         logger.info("\n\n QA POSSIBILTY CHECKER AGENT...\n")
@@ -183,10 +183,10 @@ def QA_possibility(self, state: State) -> State:
         output = QAPossibilityChecker(
             llm=self.llm,
             user_prompt=user_prompt,
-            extracted_snippet=state['extracted_snippet']
+            url=self.url,
         ).run_agent()
         state["QA_possibility_agent_msg"] = output.agent_msg
-        state["QA_possibility_check"] = output.qa_possibilty
+        state["QA_possibility_check"] = output.qa_possibility
         return state
 
     def prompt_enhancer(self, state: State) -> State:
@@ -274,11 +274,11 @@ async def run(self, task: str, browser: Any = None, browser_context: Any = None,
                     "check": final_state.get("webpage_check", False),
                     "message": final_state.get("webpage_msg", "")
                 },
-                "snippet_extraction": {
-                    "check": final_state.get("snippet_check", False),
-                    "message": final_state.get("extracted_snippet_agent_msg", ""),
-                    "snippet": final_state.get("extracted_snippet", "")
-                },
+                # "snippet_extraction": {
+                #     "check": final_state.get("snippet_check", False),
+                #     "message": final_state.get("extracted_snippet_agent_msg", ""),
+                #     "snippet": final_state.get("extracted_snippet", "")
+                # },
                 "qa_possibility": {
                     "check": final_state.get("QA_possibility_check", False),
                     "message": final_state.get("QA_possibility_agent_msg", "")
@@ -287,9 +287,9 @@ async def run(self, task: str, browser: Any = None, browser_context: Any = None,
                     "prompt": final_state.get("enhanced_prompt", ""),
                     "message": final_state.get("enhanced_prompt_agent_msg", "")
                 },
-                "evaluation_previous_goal": "Previous goal completed successfully",
-                "memory": "Task completed successfully",
-                "next_goal": "Task completed"
+                # "evaluation_previous_goal": "Previous goal completed successfully",
+                # "memory": "Task completed successfully",
+                # "next_goal": "Task completed"
             }
             
             return AgentHistoryList(
diff --git a/src/agent/qa_possibilty_checker/agent.py b/src/agent/qa_possibilty_checker/agent.py
index e04429bf..7893c7ba 100644
--- a/src/agent/qa_possibilty_checker/agent.py
+++ b/src/agent/qa_possibilty_checker/agent.py
@@ -1,31 +1,92 @@
 import logging
-from .output import QAPossibiltyChecker
+from .output import QAPossibilityCheckerOutput
 from .prompt import agents_prompt
 from ..main_agent.agent import run_main_agent
 import logging
+import asyncio
+from playwright.async_api import async_playwright
+import os
+import base64
+from openai import OpenAI
+import time
+
+
 logger = logging.getLogger(__name__)
 
 class QAPossibilityChecker:
-    def __init__(self, llm: str, user_prompt: str, extracted_snippet: str) -> None:
+    def __init__(self, llm: str, 
+                 user_prompt: str, 
+                 url: str
+                 ) -> None:
         logger.info("Initializing QAPossibilityChecker")
-        self.output_pydantic_class = QAPossibiltyChecker
+        self.output_pydantic_class = QAPossibilityCheckerOutput
         self.user_prompt = user_prompt
         self.agent_prompt = agents_prompt
-        self.extracted_snippet = extracted_snippet
+        self.url = url
         self.llm = llm
+        self.client = OpenAI()
+
+    async def take_screenshot(self, save_path: str) -> bool:
+        try:
+            logger.info(f"\nTaking screenshot...")
+            async with async_playwright() as p:
+                browser = await p.chromium.launch(headless=True)
+                page = await browser.new_page()
+                await page.goto(self.url, timeout=60000, wait_until="networkidle")
+                
+                # Simulate scroll to load dynamic content
+                # await page.evaluate("window.scrollTo(0, document.body.scrollHeight)")
+                await asyncio.sleep(2)
+
+                # Optional: scroll multiple times for infinite scrolling pages
+                for _ in range(6):
+                    await page.mouse.wheel(0, 1000)
+                    await asyncio.sleep(1)
+
+                # # Final wait for animations or delayed JS
+                # await asyncio.sleep(3)
+
+                await page.screenshot(path=save_path, full_page=True)
+                await browser.close()
+                logger.info(f"Screenshot saved at: {save_path}")
+                return True
+        except Exception as e:
+            logger.error(f"Error taking screenshot: {e}")
+            return False
+    
+    
+    def get_image_fileId(self) -> str:
+        logger.info("Extracting image file ID...")
+        try:
+            with open("screenshot.png", "rb") as image_file:
+                image_file_id = self.client.files.create(file=image_file, purpose="vision").id
+                logger.info(f"Image file ID extracted: {image_file_id}")
+                return image_file_id
+
+        except Exception as e:
+            logger.error(f"Error extracting base64 image: {e}")
+            return ""
+
+    def run_agent(self) -> QAPossibilityCheckerOutput:
+
+        if asyncio.run(self.take_screenshot("screenshot.png")):
+            image_file_id = self.get_image_fileId()
+            if image_file_id:
 
-    def run_agent(self) -> QAPossibiltyChecker:
-
-        output = run_main_agent(
-            output_pydantic_class=self.output_pydantic_class,
-            agents_name="QA POSSIBILTY CHECKER",
-            agents_prompt=self.agent_prompt,
-            input_to_prompt={
-                "input": self.user_prompt,
-                "extracted_snippet": self.extracted_snippet
-            },
-            model_name=self.llm
-        )
+                output = run_main_agent(
+                    output_pydantic_class=self.output_pydantic_class,
+                    agents_name="QA POSSIBILTY CHECKER",
+                    agents_prompt=self.agent_prompt,
+                    input_to_prompt={
+                        "input": self.user_prompt,
+                        "image_file_id": image_file_id
+                    },
+                    model_name=self.llm
+                )
+                logger.info(f"QA Possibilty Checker finished Output...: {output}")
+                return output
         
-        logger.info(f"QA Possibilty Checker finished Output...: {output}")
-        return output
+        return QAPossibilityCheckerOutput(
+            agent_msg="Failed to take screenshot or extract base64 image.",
+            qa_possibility=False
+        )
\ No newline at end of file
diff --git a/src/agent/qa_possibilty_checker/output.py b/src/agent/qa_possibilty_checker/output.py
index 3700315f..7d55f4f4 100644
--- a/src/agent/qa_possibilty_checker/output.py
+++ b/src/agent/qa_possibilty_checker/output.py
@@ -1,5 +1,5 @@
 from pydantic import BaseModel
 
-class QAPossibiltyChecker(BaseModel):
+class QAPossibilityCheckerOutput(BaseModel):
     agent_msg: str
-    qa_possibilty: bool
\ No newline at end of file
+    qa_possibility: bool
\ No newline at end of file
diff --git a/src/agent/qa_possibilty_checker/prompt.py b/src/agent/qa_possibilty_checker/prompt.py
index 164fe5d2..b0bd0883 100644
--- a/src/agent/qa_possibilty_checker/prompt.py
+++ b/src/agent/qa_possibilty_checker/prompt.py
@@ -1,17 +1,16 @@
 agents_prompt = """
-You are an amazing QA possibilty checker agent and your job is to classify if the QA test are possibile for a web page snippet or not.
+You are an amazing QA possibilty checker agent and your job is to classify if the QA test are possibile for a web page or not.
 
 You will be provided with a -
 1. user prompt which are going to be tests/qa/functionality to be tested.
-2. web page snippet which will be the extracted snippet from the web page that is to be tested.
+2. web page picture image file id.
 
-Analyse the user prompt and the extracted webpage snippet and classify if the QA enterd by the user are possible on the web snippet or not.
+Analyse the user prompt and the extracted webpage image and classify if the QA enterd by the user are possible on the webpage or not.
 
-' User prompt (QA prompt) ': {user_prompt}
-' Extracte Web Page Snippet ': ' {extracted_snippet} '
+- ' User prompt (QA prompt) ': {user_prompt}
 
-
-Also you stay a little lenient, do not say very rigid.
+   "type": "input_image"
+- ' image file id': ' {image_file_id} '
 
 Output Structure:
 return the result as a JSON object in the following format ONLY:

From ae17616b9918ab196fed74904fa3e6387f1f00dd Mon Sep 17 00:00:00 2001
From: Mohsin Ali Irfan <mohsin.ali@codeupscale.com>
Date: Mon, 23 Jun 2025 15:12:32 +0500
Subject: [PATCH 17/38] Implementation of vision model for QA possibilty
 generator

---
 src/agent/orchestrator/agent_orchestrator.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/src/agent/orchestrator/agent_orchestrator.py b/src/agent/orchestrator/agent_orchestrator.py
index e0f9013a..91b4d5bf 100644
--- a/src/agent/orchestrator/agent_orchestrator.py
+++ b/src/agent/orchestrator/agent_orchestrator.py
@@ -94,7 +94,7 @@ def __init__(
             "webpage_checker",
             self._webpage_condition,
             {
-                "snippet_extractor": "QA_possibility",
+                "QA_possibility": "QA_possibility",
                 "__end__": END
             }
         )

From 04044332fe485894c25473acdf2d664511251eeb Mon Sep 17 00:00:00 2001
From: Mohsin Ali Irfan <mohsin.ali@codeupscale.com>
Date: Mon, 23 Jun 2025 19:04:14 +0500
Subject: [PATCH 18/38] Changes in the structure of the agentic workflow and
 vision model wiithin langgraph and qa possibility prompt enhancer agent

---
 src/agent/orchestrator/agent_orchestrator.py | 104 +++++++++++++------
 src/agent/prompt_enahncer/agent.py           |   6 +-
 src/agent/prompt_enahncer/prompt.py          |  16 ++-
 src/agent/qa_possibilty_checker/agent.py     |  81 +++------------
 src/agent/qa_possibilty_checker/prompt.py    |   6 +-
 5 files changed, 102 insertions(+), 111 deletions(-)

diff --git a/src/agent/orchestrator/agent_orchestrator.py b/src/agent/orchestrator/agent_orchestrator.py
index 91b4d5bf..ff56ba08 100644
--- a/src/agent/orchestrator/agent_orchestrator.py
+++ b/src/agent/orchestrator/agent_orchestrator.py
@@ -10,6 +10,9 @@
 from src.agent.qa_possibilty_checker.agent import QAPossibilityChecker
 from src.agent.prompt_enahncer.agent import PromptEnhancerAgent
 from src.agent.browser_use.browser_use_agent import BrowserUseAgent
+import asyncio
+from playwright.async_api import async_playwright
+from openai import OpenAI
 
 logger = logging.getLogger(__name__)
 
@@ -27,6 +30,9 @@ class State(TypedDict):
     webpage_check: bool
     webpage_msg: str
 
+    screenshot_taken: bool
+    image_fileId: str
+
     extracted_snippet_agent_msg: str
     extracted_snippet: str
     snippet_check: bool
@@ -69,12 +75,15 @@ def __init__(
         self.extend_system_prompt = extend_system_prompt
         self.planner_llm = planner_llm
         self.use_vision_for_planner = use_vision_for_planner
+        self.client = OpenAI()
 
         self.builder = StateGraph(State)
 
         self.builder.add_node("intent_classifier", self.intent_classifier)
         self.builder.add_node("webpage_checker", self.webpage_checker)
         # self.builder.add_node("snippet_extractor", self.snippet_extractor)
+        self.builder.add_node("take_screenshot", self.take_screenshot)
+        self.builder.add_node("get_image_fileId", self.get_image_fileId)
         self.builder.add_node("QA_possibility", self.QA_possibility)
         self.builder.add_node("prompt_enhancer", self.prompt_enhancer)
         self.builder.add_node("browser_ui", self.browser_ui)
@@ -94,19 +103,27 @@ def __init__(
             "webpage_checker",
             self._webpage_condition,
             {
-                "QA_possibility": "QA_possibility",
+                "take_screenshot": "take_screenshot",
                 "__end__": END
             }
         )
 
-        # self.builder.add_conditional_edges(
-        #     "snippet_extractor",
-        #     self._snippet_condition,
-        #     {
-        #         "QA_possibility": "QA_possibility",
-        #         "__end__": END
-        #     }
-        # )
+        self.builder.add_conditional_edges(
+            "take_screenshot",
+            self._take_screenshot_condition,
+            {
+                "get_image_fileId": "get_image_fileId",
+                "__end__": END
+            }
+        )
+        self.builder.add_conditional_edges(
+            "get_image_fileId",
+            self._get_image_fileId_condition,
+            {
+                "QA_possibility": "QA_possibility",
+                "__end__": END
+            }
+        )
 
         self.builder.add_conditional_edges(
             "QA_possibility",
@@ -156,25 +173,47 @@ def _get_output_value(self, output, key, default=None):
             return output.get(key, default)
         return getattr(output, key, default)
 
-    # async def snippet_extractor(self, state: State) -> State:
-    #     logger.info("\n\n SNIPPET EXTRACTOR NODE...\n")
-        
-    #     #either select the user query or the modified prompt if available
-    #     user_prompt = state.get("prompt_without_ui", self.user_query)
-    #     output = await SnippetExtractorAgent(
-    #         llm=self.llm, 
-    #         user_prompt=user_prompt, 
-    #         url=self.url
-            
-    #         ).run_agent()
-    #     state['extracted_snippet_agent_msg'] = self._get_output_value(output, "agent_msg", "")
-    #     state['snippet_check'] = self._get_output_value(output, "snippet_check", False)
-    #     state['extracted_snippet'] = self._get_output_value(output, "extracted_snippet", "")
 
-    #     print("\n\n\n EXTRACTED SNIPPET: ", output.extracted_snippet)
+    async def take_screenshot(self, state: State) -> State:
 
-        
-        # return state
+        save_path = "screenshot.png"
+        try:
+            logger.info("Taking screenshot...")
+            async with async_playwright() as p:
+                browser = await p.chromium.launch(headless=True)
+                page = await browser.new_page()
+                await page.goto(self.url, timeout=60000, wait_until="networkidle")
+                
+                #await page.evaluate("window.scrollTo(0, document.body.scrollHeight)")
+                await asyncio.sleep(1)
+
+                #scroll multiple times for infinite scrolling pages
+                for _ in range(6):
+                    await page.mouse.wheel(0, 1000)
+                    await asyncio.sleep(1)
+
+                await page.screenshot(path=save_path, full_page=True)
+                await browser.close()
+                logger.info(f"Screenshot saved at: {save_path}")
+                
+                state["screenshot_taken"] = True
+        except Exception as e:
+            logger.error(f"Error taking screenshot: {e}")
+            state["screenshot_taken"] = False
+
+        return state    
+    
+    def get_image_fileId(self, state: State) -> State:
+        logger.info("Extracting image file ID...")
+        try:
+            with open("screenshot.png", "rb") as image_file:
+                image_file_id = self.client.files.create(file=image_file, purpose="vision").id
+                logger.info(f"Image file ID extracted: {image_file_id}")
+                state["image_fileId"] = image_file_id
+        except Exception as e:
+            logger.error(f"Error extracting base64 image: {e}")
+            state["image_fileId"] = ""
+        return state
 
     def QA_possibility(self, state: State) -> State:
         logger.info("\n\n QA POSSIBILTY CHECKER AGENT...\n")
@@ -183,7 +222,7 @@ def QA_possibility(self, state: State) -> State:
         output = QAPossibilityChecker(
             llm=self.llm,
             user_prompt=user_prompt,
-            url=self.url,
+            image_file_id=state["image_fileId"],
         ).run_agent()
         state["QA_possibility_agent_msg"] = output.agent_msg
         state["QA_possibility_check"] = output.qa_possibility
@@ -196,7 +235,7 @@ def prompt_enhancer(self, state: State) -> State:
         output = PromptEnhancerAgent(
             llm=self.llm,
             user_prompt=user_prompt,
-            extracted_snippet=state['extracted_snippet']
+            image_file_id=state['image_fileId']
         ).run_agent()
         state['enhanced_prompt_agent_msg'] = output.agent_msg
         state['enhanced_prompt'] = output.enhanced_prompt
@@ -244,10 +283,13 @@ def _intent_condition(self, state: State) -> Any:
         return "webpage_checker" if state.get("intent_check") else END
 
     def _webpage_condition(self, state: State) -> Any:
-        return "snippet_extractor" if state.get("webpage_check") else END
+        return "take_screenshot" if state.get("webpage_check") else END
 
-    def _snippet_condition(self, state: State) -> Any:
-        return "QA_possibility" if state.get("snippet_check") else END
+    def _take_screenshot_condition(self, state: State) -> Any:
+        return "get_image_fileId" if state.get("screenshot_taken") else END
+    
+    def _get_image_fileId_condition(self, state: State) -> Any:
+        return "QA_possibility" if state.get("image_fileId") else END
 
     def _QA_possibility_condition(self, state: State) -> Any:
         return "prompt_enhancer" if state.get("QA_possibility_check") else END
diff --git a/src/agent/prompt_enahncer/agent.py b/src/agent/prompt_enahncer/agent.py
index e07f3893..3cbe8c4c 100644
--- a/src/agent/prompt_enahncer/agent.py
+++ b/src/agent/prompt_enahncer/agent.py
@@ -6,12 +6,12 @@
 logger = logging.getLogger(__name__)
 
 class PromptEnhancerAgent:
-    def __init__(self,llm: str, user_prompt: str, extracted_snippet: str) -> None:
+    def __init__(self,llm: str, user_prompt: str, image_file_id: str) -> None:
         logger.info("Initializing PromptEnhancerAgent...")
         self.output_pydantic_class = PromptEnhancerOutput
         self.user_prompt = user_prompt
         self.agent_prompt = agents_prompt
-        self.extracted_snippet = extracted_snippet
+        self.image_file_id = image_file_id
         self.llm = llm
 
     def run_agent(self) -> PromptEnhancerOutput:        
@@ -21,7 +21,7 @@ def run_agent(self) -> PromptEnhancerOutput:
             agents_prompt=self.agent_prompt,
             input_to_prompt={
                 "input": self.user_prompt,
-                "extracted_snippet": self.extracted_snippet
+                "image_file_id": self.image_file_id
             },
              model_name=self.llm
         )
diff --git a/src/agent/prompt_enahncer/prompt.py b/src/agent/prompt_enahncer/prompt.py
index 9b2a4f38..a5bff796 100644
--- a/src/agent/prompt_enahncer/prompt.py
+++ b/src/agent/prompt_enahncer/prompt.py
@@ -1,21 +1,19 @@
-agents_prompt = """ You are an prompt enahncer agent with over 10 years of experince in ehancing user prompt for SQA purposes.
-You will be provided with a user query which primarily will be a qa test to perform and extracted web snippet on which the tests will be performed.
-Your job is to analyse the user prompt, and enahnce it to perform best sqa on the web snippet accordingly.
+agents_prompt = """You are an prompt enahncer agent with over 10 years of experince in ehancing user prompt for SQA purposes.
+You will be provided with a user query which primarily will be a qa test to perform and web page screenshot on which the tests will be performed.
+Your job is to analyse the user prompt, and enahnce it to perform best sqa on the web page screenshot accordingly.
 
 ' User QA prompt ': "{input}"
-' Extrated Web snippet ': "{extracted_snippet}"
+' Web Page ': "{image_file_id}"
 
 - You can always enter some sample data to test IF not entered by the user
 - Always make sure not too make the enahnced prompt too lengthy
-
 - Strictly make sure that the the user prompt is only instructions regarding to perform QA only.
 
-- Do not worry about tags or do not change the user quser to an extent that it makes it difficult to QA
-- Always make sure that the ' Extrated Web snippet ' is for your help, do not extract or change the user prompt by extractng text from the ' Extrated Web snippet '
+- Do not worry about tags or do not change the user query to an extent that it makes it difficult to QA
+- Always make sure that the ' Web Page ' is for your help, do not extract or change the user prompt by extractng text from the ' Web Page '
 
 - Also make sure that if the user has enetered partial prompts like "fill this field in the form" and then there are more field, always mention that also fill the other remaining fields carefully.
-
-- If the user asks to test input fiels, forms or anything that requires input data, make sure to generate random data if not provided according the extracted snippet to fill them so that it could be tested.
+- If the user asks to test input fields, forms or anything that requires input data, make sure to generate random data if not provided according the extracted snippet to fill them so that it could be tested.
 
 - Do not enhance the prompt to test UI/animations of a webpage please.
 - If the user has prompt to test the UI/animation, please get rid of that part in the prompt, and enhance only the functionality testing part.
diff --git a/src/agent/qa_possibilty_checker/agent.py b/src/agent/qa_possibilty_checker/agent.py
index 7893c7ba..46656342 100644
--- a/src/agent/qa_possibilty_checker/agent.py
+++ b/src/agent/qa_possibilty_checker/agent.py
@@ -16,77 +16,26 @@
 class QAPossibilityChecker:
     def __init__(self, llm: str, 
                  user_prompt: str, 
-                 url: str
+                 image_file_id: str
                  ) -> None:
         logger.info("Initializing QAPossibilityChecker")
         self.output_pydantic_class = QAPossibilityCheckerOutput
         self.user_prompt = user_prompt
         self.agent_prompt = agents_prompt
-        self.url = url
+        self.image_file_id = image_file_id 
         self.llm = llm
-        self.client = OpenAI()
-
-    async def take_screenshot(self, save_path: str) -> bool:
-        try:
-            logger.info(f"\nTaking screenshot...")
-            async with async_playwright() as p:
-                browser = await p.chromium.launch(headless=True)
-                page = await browser.new_page()
-                await page.goto(self.url, timeout=60000, wait_until="networkidle")
-                
-                # Simulate scroll to load dynamic content
-                # await page.evaluate("window.scrollTo(0, document.body.scrollHeight)")
-                await asyncio.sleep(2)
-
-                # Optional: scroll multiple times for infinite scrolling pages
-                for _ in range(6):
-                    await page.mouse.wheel(0, 1000)
-                    await asyncio.sleep(1)
-
-                # # Final wait for animations or delayed JS
-                # await asyncio.sleep(3)
-
-                await page.screenshot(path=save_path, full_page=True)
-                await browser.close()
-                logger.info(f"Screenshot saved at: {save_path}")
-                return True
-        except Exception as e:
-            logger.error(f"Error taking screenshot: {e}")
-            return False
-    
-    
-    def get_image_fileId(self) -> str:
-        logger.info("Extracting image file ID...")
-        try:
-            with open("screenshot.png", "rb") as image_file:
-                image_file_id = self.client.files.create(file=image_file, purpose="vision").id
-                logger.info(f"Image file ID extracted: {image_file_id}")
-                return image_file_id
-
-        except Exception as e:
-            logger.error(f"Error extracting base64 image: {e}")
-            return ""
 
     def run_agent(self) -> QAPossibilityCheckerOutput:
-
-        if asyncio.run(self.take_screenshot("screenshot.png")):
-            image_file_id = self.get_image_fileId()
-            if image_file_id:
-
-                output = run_main_agent(
-                    output_pydantic_class=self.output_pydantic_class,
-                    agents_name="QA POSSIBILTY CHECKER",
-                    agents_prompt=self.agent_prompt,
-                    input_to_prompt={
-                        "input": self.user_prompt,
-                        "image_file_id": image_file_id
-                    },
-                    model_name=self.llm
-                )
-                logger.info(f"QA Possibilty Checker finished Output...: {output}")
-                return output
-        
-        return QAPossibilityCheckerOutput(
-            agent_msg="Failed to take screenshot or extract base64 image.",
-            qa_possibility=False
-        )
\ No newline at end of file
+                
+        output = run_main_agent(
+            output_pydantic_class=self.output_pydantic_class,
+            agents_name="QA POSSIBILTY CHECKER",
+            agents_prompt=self.agent_prompt,
+            input_to_prompt={
+            "input": self.user_prompt,
+            "image_file_id": self.image_file_id
+            },
+            model_name=self.llm
+        )
+        logger.info(f"QA Possibilty Checker finished Output...: {output}")
+        return output
diff --git a/src/agent/qa_possibilty_checker/prompt.py b/src/agent/qa_possibilty_checker/prompt.py
index b0bd0883..27c7f833 100644
--- a/src/agent/qa_possibilty_checker/prompt.py
+++ b/src/agent/qa_possibilty_checker/prompt.py
@@ -5,13 +5,15 @@
 1. user prompt which are going to be tests/qa/functionality to be tested.
 2. web page picture image file id.
 
-Analyse the user prompt and the extracted webpage image and classify if the QA enterd by the user are possible on the webpage or not.
+Analyse the user prompt and the webpage image screenshot and classify if the QA enterd by the user are possible on the webpage or not.
 
 - ' User prompt (QA prompt) ': {user_prompt}
 
    "type": "input_image"
 - ' image file id': ' {image_file_id} '
 
+- If the user asks to click on anything, you do not need check if that element is a url, button or even clickable, just assume that it is clickable and return true.
+
 Output Structure:
 return the result as a JSON object in the following format ONLY:
 { 
@@ -20,7 +22,7 @@
 }
 or 
 {
-    "agent_msg": "QA is not possible on the extracted Snippet (due to this reasom)"
+    "agent_msg": "QA is not possible on the extracted Snippet (give a proper reason)"
     "qa_possibilty": false 
 }
 """
\ No newline at end of file

From 2f79e276cbe254fb4c4129364730810d891978b5 Mon Sep 17 00:00:00 2001
From: itsareebalatif <itsareebalatif@gmail.com>
Date: Tue, 8 Jul 2025 17:45:11 +0500
Subject: [PATCH 19/38] =?UTF-8?q?=F0=9F=94=A7=20Update:=20run=5Fagent=5Fta?=
 =?UTF-8?q?sk=20,create=20API=20and=20new=20frontend?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 src/API/main.py                               |   72 +
 src/agent/browser_use/browser_use_agent.py    |    1 +
 src/agent/orchestrator/agent_orchestrator.py  |   31 +-
 src/agent/orchestrator/qa_graph.png           |  Bin 0 -> 23635 bytes
 src/browser/browser_recorder.py               |  161 +-
 src/outputdata/agent_execution.json           | 1342 ++++++++++++++++-
 src/webui/components/browser_use_agent_tab.py | 1223 +++++++++------
 static/favicon.ico                            |    0
 static/index.html                             |  229 +++
 9 files changed, 2517 insertions(+), 542 deletions(-)
 create mode 100644 src/API/main.py
 create mode 100644 src/agent/orchestrator/qa_graph.png
 create mode 100644 static/favicon.ico
 create mode 100644 static/index.html

diff --git a/src/API/main.py b/src/API/main.py
new file mode 100644
index 00000000..9dda9586
--- /dev/null
+++ b/src/API/main.py
@@ -0,0 +1,72 @@
+from fastapi import FastAPI
+from pydantic import BaseModel
+from src.webui.components import browser_use_agent_tab
+from src.webui.components.browser_use_agent_tab import run_agent_task
+from fastapi import HTTPException
+from fastapi.staticfiles import StaticFiles
+from fastapi.responses import FileResponse
+import os
+
+
+app = FastAPI()
+
+
+# Mount the videos folder
+app.mount("/videos", StaticFiles(directory="outputdata/videos"), name="videos")
+app.mount("/static", StaticFiles(directory=os.getcwd()), name="static")
+
+
+
+class AgentRequest(BaseModel):
+    query: str
+    url: str
+
+@app.post("/run-agent")
+async def run_agent(request: AgentRequest):
+    try:
+        result = await run_agent_task(request.query, request.url)
+        #print("🧪 Raw result from run_agent_task:", result)
+        # logger.info(f"🧪 Raw result from run_agent_task: {result}")
+        #print("In main.py ",result["final_result"])
+        return {
+            "status": "success",
+            "task_id": result["task_id"],
+            "final_result": result["final_result"],
+            "videos": result["videos"]
+        }
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=str(e))
+    
+@app.post("/stop-agent")
+def stop_agent():
+    # call stop_wrapper or shutdown browser/session
+    return {"status": "stopped"}
+
+# @app.post("/run-agent")
+# async def run_agent(request: AgentRequest):
+#     try:
+#         result = await run_agent_task(request.query, request.url)
+#         print("TYPE OF RESULT:", type(result))
+#         print("DIR OF RESULT:", dir(result))
+      
+
+#         return {
+#             "status": "success",
+#             "task_id": result["task_id"],
+#             "final_result": result["final_result"],
+#             #"final_result": result.final_result,
+#             # "output_dir": result["output_dir"],
+#             # "screenshots": len(result["screenshot_paths"]),
+#             #"responses": len(result["response_paths"]),          #no need
+#             #"steps": result["step_count"] 
+#         }
+#     except Exception as e:
+#         raise HTTPException(status_code=500, detail=str(e))
+    
+# Serve index.html at /
+@app.get("/")
+async def serve_frontend():
+    return FileResponse("static/index.html")
+
+
+
diff --git a/src/agent/browser_use/browser_use_agent.py b/src/agent/browser_use/browser_use_agent.py
index c78f38e3..f515b767 100644
--- a/src/agent/browser_use/browser_use_agent.py
+++ b/src/agent/browser_use/browser_use_agent.py
@@ -128,6 +128,7 @@ async def run(
                 )
 
                 logger.info(f'❌ {error_message}')
+                
 
             return self.state.history
 
diff --git a/src/agent/orchestrator/agent_orchestrator.py b/src/agent/orchestrator/agent_orchestrator.py
index ff56ba08..3854d961 100644
--- a/src/agent/orchestrator/agent_orchestrator.py
+++ b/src/agent/orchestrator/agent_orchestrator.py
@@ -14,6 +14,9 @@
 from playwright.async_api import async_playwright
 from openai import OpenAI
 
+
+
+
 logger = logging.getLogger(__name__)
 
 class State(TypedDict):
@@ -316,11 +319,11 @@ async def run(self, task: str, browser: Any = None, browser_context: Any = None,
                     "check": final_state.get("webpage_check", False),
                     "message": final_state.get("webpage_msg", "")
                 },
-                # "snippet_extraction": {
-                #     "check": final_state.get("snippet_check", False),
-                #     "message": final_state.get("extracted_snippet_agent_msg", ""),
-                #     "snippet": final_state.get("extracted_snippet", "")
-                # },
+                "snippet_extraction": {
+                    "check": False,
+                    "message": "",
+                    "snippet": ""
+                },
                 "qa_possibility": {
                     "check": final_state.get("QA_possibility_check", False),
                     "message": final_state.get("QA_possibility_agent_msg", "")
@@ -329,11 +332,11 @@ async def run(self, task: str, browser: Any = None, browser_context: Any = None,
                     "prompt": final_state.get("enhanced_prompt", ""),
                     "message": final_state.get("enhanced_prompt_agent_msg", "")
                 },
-                # "evaluation_previous_goal": "Previous goal completed successfully",
-                # "memory": "Task completed successfully",
-                # "next_goal": "Task completed"
+                "evaluation_previous_goal": "Previous goal completed successfully",
+                "memory": "Task completed successfully",
+                "next_goal": "Task completed"
             }
-            
+               
             return AgentHistoryList(
                 history=[
                     {
@@ -341,9 +344,15 @@ async def run(self, task: str, browser: Any = None, browser_context: Any = None,
                             "current_state": current_state,
                             "action": []  # Empty list for actions
                         },
+                        # "result": [{
+                        #     "type": "success",
+                        #     "message": final_state.get("browser_result", "Task completed successfully")
+                        # }],
                         "result": [{
-                            "type": "success",
-                            "message": final_state.get("browser_result", "Task completed successfully")
+                            "is_done": True,
+                            "success": True,
+                            "extracted_content": str(final_state.get("browser_result", "Task completed successfully"))
+
                         }],
                         "state": {
                             "title": "",
diff --git a/src/agent/orchestrator/qa_graph.png b/src/agent/orchestrator/qa_graph.png
new file mode 100644
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HcmV?d00001

diff --git a/src/browser/browser_recorder.py b/src/browser/browser_recorder.py
index e8c1d0e3..b7bcf559 100644
--- a/src/browser/browser_recorder.py
+++ b/src/browser/browser_recorder.py
@@ -2,65 +2,160 @@
 import logging
 from pathlib import Path
 from playwright.async_api import async_playwright, Browser, BrowserContext
+from datetime import datetime
+import shutil
+
+
+import os
+import shutil
+import glob
+import logging
 
 logger = logging.getLogger(__name__)
 
 class BrowserRecorder:
     def __init__(self):
-        self.video_dir = None
+        # Define video directory
+        self.video_dir = os.path.join(os.getcwd(), "outputdata", "videos")
         self.context = None
         self.is_recording = False
+        self.recorded_videos = []
         
-    async def setup_recording(self, browser: Browser) -> BrowserContext:
-        """Set up video recording right before browser launch"""
+        # Clean video directory before starting
+        self.clean_video_directory()
+
+    def clean_video_directory(self):
+        """Completely remove and recreate the video directory"""
         try:
-            # Create videos directory in outputdata
-            self.video_dir = os.path.join(os.getcwd(), "outputdata", "videos")
-            os.makedirs(self.video_dir, exist_ok=True)
-            
-            logger.info(f"\n🎥 Setting up video recording in: {self.video_dir}")
+            # Remove entire directory if it exists
+            if os.path.exists(self.video_dir):
+                shutil.rmtree(self.video_dir)
+                logger.info(f"🗑️ Deleted existing video directory: {self.video_dir}")
             
+            # Create fresh directory
+            os.makedirs(self.video_dir, exist_ok=True)
+            logger.info(f"📁 Created clean video directory: {self.video_dir}")
+        except Exception as e:
+            logger.error(f"❌ Failed to clean video directory: {e}")
+
+    async def setup_recording(self, browser: Browser) -> BrowserContext:
+        """Set up video recording using Playwright Browser instance"""
+        try:
             # Create context with video recording
             self.context = await browser.new_context(
                 record_video_dir=self.video_dir,
                 record_video_size={"width": 1280, "height": 720}
             )
             
-            # Verify recording is enabled
             self.is_recording = True
-            logger.info("✅ Video recording successfully enabled")
-            
-            # Add listener for new pages
-            async def on_page(page):
-                logger.info(f"🎥 Starting recording for page: {page.url}")
-                # Force start recording for this page
-                await page.video.start()
-                
-            self.context.on("page", on_page)
-            
+            logger.info(f"🎥 Video recording enabled in: {self.video_dir}")
             return self.context
-            
         except Exception as e:
             logger.error(f"❌ Failed to setup video recording: {str(e)}")
             self.is_recording = False
-            # Return regular context if recording fails
             return await browser.new_context()
             
     def is_video_recording(self) -> bool:
-        """Check if video recording is active"""
         return self.is_recording
         
     async def save_recording(self):
-        """Save the recording when browser closes"""
+        """Save recordings and get video paths"""
         if self.context and self.is_recording:
-            try:
-                # Get all pages
-                pages = self.context.pages
-                for page in pages:
-                    if page.video:
-                        # Save video for this page
-                        video_path = await page.video.path()
-                        logger.info(f"💾 Saved video recording to: {video_path}")
+            # Close context to finalize recordings
+            await self.context.close()
+            
+            # Find all new video files
+            video_files = glob.glob(os.path.join(self.video_dir, "**", "*.webm"), recursive=True)
+            
+            if video_files:
+                self.recorded_videos = [os.path.basename(f) for f in video_files]
+                logger.info(f"💾 Saved {len(video_files)} videos")
+            else:
+                logger.warning("⚠️ No video files found after recording")
+    
+    def get_recorded_videos(self) -> list:
+        """Get list of recorded video filenames"""
+        return self.recorded_videos
+    
+
+    
+# import os
+# import logging
+# from pathlib import Path
+# from playwright.async_api import async_playwright, Browser, BrowserContext
+# from datetime import datetime
+
+# logger = logging.getLogger(__name__)
+
+# class BrowserRecorder:
+#     def __init__(self):
+#         self.video_dir = None
+#         self.context = None
+#         self.is_recording = False
+        
+
+    
+#     async def setup_recording(self, browser: Browser) -> BrowserContext:
+#         """Set up video recording right before browser launch"""
+#         try:
+#             # Create videos directory in outputdata
+#             self.video_dir = os.path.join(os.getcwd(), "outputdata", "videos")
+#             os.makedirs(self.video_dir, exist_ok=True)
+            
+#             logger.info(f"\n🎥 Setting up video recording in: {self.video_dir}")
+            
+#             # Create context with video recording
+#             self.context = await browser.new_context(
+#                 record_video_dir=self.video_dir,
+#                 record_video_size={"width": 1280, "height": 720}
+#             )
+            
+#             # Verify recording is enabled
+#             self.is_recording = True
+#             logger.info("✅ Video recording successfully enabled")
+            
+#             # Add listener for new pages
+#             async def on_page(page):
+#                 logger.info(f"🎥 Starting recording for page: {page.url}")
+#                 # Force start recording for this page
+#                 await page.video.start()
+                
+#             self.context.on("page", on_page)
+            
+#             return self.context
+            
+#         except Exception as e:
+#             logger.error(f"❌ Failed to setup video recording: {str(e)}")
+#             self.is_recording = False
+#             # Return regular context if recording fails
+#             return await browser.new_context()
+            
+#     def is_video_recording(self) -> bool:
+#         """Check if video recording is active"""
+#         return self.is_recording
+        
+#     async def save_recording(self):
+#         """Save the recording when browser closes"""
+#         if self.context and self.is_recording:
+#             try:
+#                 # Get all pages
+#                 pages = self.context.pages
+#                 for page in pages:
+#                     if page.video:
+#                         # Save video for this page
+#                         video_path = await page.video.path()
+#                         logger.info(f"💾 Saved video recording to: {video_path}")
                         
-            except Exception as e:
-                logger.error(f"❌ Failed to save video recording: {str(e)}") 
\ No newline at end of file
+#             except Exception as e:
+#                 logger.error(f"❌ Failed to save video recording: {str(e)}") 
+
+
+# def get_recorded_videos(self) -> list:
+#         """Get list of recorded video paths"""
+#         if not self.video_dir:
+#             return []
+#         return [
+#             os.path.join(self.video_dir, f) 
+#             for f in os.listdir(self.video_dir) 
+#             if f.endswith(".webm")
+#         ]
diff --git a/src/outputdata/agent_execution.json b/src/outputdata/agent_execution.json
index 875b02e5..f1192e42 100644
--- a/src/outputdata/agent_execution.json
+++ b/src/outputdata/agent_execution.json
@@ -1,16 +1,1332 @@
 [
-    {
-        "Agent Name": "Intent Classifier Agent",
-        "Number of tries": 1,
-        "TimeTaken": 1.93739914894104,
-        "User_input": "HumanMessage: {'input': 'play this song'}",
-        "Output": "SystemMessage: agent_msg='The intent is not realted to QA' intent=False"
-    },
-    {
-        "Agent Name": "Intent Classifier Agent",
-        "Number of tries": 1,
-        "TimeTaken": 1.2464182376861572,
-        "User_input": "HumanMessage: {'input': 'please test this button'}",
-        "Output": "SystemMessage: agent_msg='The intent is realted to QA' intent=True"
+  {
+    "Agent Name": "Intent Classifier Agent",
+    "Number of tries": 1,
+    "TimeTaken": 1.93739914894104,
+    "User_input": "HumanMessage: {'input': 'play this song'}",
+    "Output": "SystemMessage: agent_msg='The intent is not realted to QA' intent=False"
+  },
+  {
+    "Agent Name": "Intent Classifier Agent",
+    "Number of tries": 1,
+    "TimeTaken": 1.2464182376861572,
+    "User_input": "HumanMessage: {'input': 'please test this button'}",
+    "Output": "SystemMessage: agent_msg='The intent is realted to QA' intent=True"
+  },
+  {
+    "timestamp": "2025-07-08 14:30:37",
+    "agents_name": "Intent Classifier Agent",
+    "number_of_tries": 1,
+    "time_taken": 2.8282129764556885,
+    "user_input": {
+      "input": "Test the website by clicking the \u201cEnglish\u201d button  url: https://www.wikipedia.org"
+    },
+    "output": {
+      "agent_msg": "The intent is realted to QA",
+      "intent": true,
+      "modified_prompt": ""
+    }
+  },
+  {
+    "timestamp": "2025-07-08 14:30:37",
+    "agents_name": "Webpage Checker",
+    "number_of_tries": 1,
+    "time_taken": 1,
+    "user_input": "https://www.wikipedia.org",
+    "output": "200 - OK"
+  },
+  {
+    "timestamp": "2025-07-08 14:30:50",
+    "agents_name": "QA POSSIBILTY CHECKER",
+    "number_of_tries": 1,
+    "time_taken": 1.2113559246063232,
+    "user_input": {
+      "input": "Test the website by clicking the \u201cEnglish\u201d button  url: https://www.wikipedia.org",
+      "image_file_id": "file-TvSDBW5fjCm8mxwf6tHmTF"
+    },
+    "output": {
+      "agent_msg": "QA is possible on the extracted Snippet",
+      "qa_possibility": true
+    }
+  },
+  {
+    "timestamp": "2025-07-08 14:30:53",
+    "agents_name": "Prompt Enhancer Agent",
+    "number_of_tries": 1,
+    "time_taken": 3.3213138580322266,
+    "user_input": {
+      "input": "Test the website by clicking the \u201cEnglish\u201d button  url: https://www.wikipedia.org",
+      "image_file_id": "file-TvSDBW5fjCm8mxwf6tHmTF"
+    },
+    "output": {
+      "agent_msg": "The prompt has been enhanced",
+      "enhanced_prompt": "Navigate to https://www.wikipedia.org and locate the \"English\" button on the homepage. Click on the \"English\" button and verify that you are redirected to the English version of Wikipedia (https://en.wikipedia.org/) without any errors. Ensure that the page loads correctly and displays the expected content in English."
+    }
+  },
+  {
+    "timestamp": "2025-07-08 14:32:56",
+    "agents_name": "Intent Classifier Agent",
+    "number_of_tries": 1,
+    "time_taken": 2.358621835708618,
+    "user_input": {
+      "input": "Test the website by clicking the \u201cEnglish\u201d button  url: https://www.wikipedia.org"
+    },
+    "output": {
+      "agent_msg": "The intent is related to QA",
+      "intent": true,
+      "modified_prompt": "Test the website by clicking the \"English\" button URL: https://www.wikipedia.org"
+    }
+  },
+  {
+    "timestamp": "2025-07-08 14:32:56",
+    "agents_name": "Webpage Checker",
+    "number_of_tries": 1,
+    "time_taken": 1,
+    "user_input": "https://www.wikipedia.org",
+    "output": "200 - OK"
+  },
+  {
+    "timestamp": "2025-07-08 14:33:09",
+    "agents_name": "QA POSSIBILTY CHECKER",
+    "number_of_tries": 1,
+    "time_taken": 1.1508228778839111,
+    "user_input": {
+      "input": "Test the website by clicking the \"English\" button URL: https://www.wikipedia.org",
+      "image_file_id": "file-MQDbCnEHTimfYY9q9HLezW"
+    },
+    "output": {
+      "agent_msg": "QA is possible on the extracted Snippet",
+      "qa_possibility": true
+    }
+  },
+  {
+    "timestamp": "2025-07-08 14:33:13",
+    "agents_name": "Prompt Enhancer Agent",
+    "number_of_tries": 1,
+    "time_taken": 4.008945941925049,
+    "user_input": {
+      "input": "Test the website by clicking the \"English\" button URL: https://www.wikipedia.org",
+      "image_file_id": "file-MQDbCnEHTimfYY9q9HLezW"
+    },
+    "output": {
+      "agent_msg": "The prompt has been enhanced",
+      "enhanced_prompt": "Open the website at URL: https://www.wikipedia.org. Click the \"English\" button on the homepage. Verify that the website navigates to the English version of Wikipedia. Ensure that the page loads correctly by checking for the presence of relevant English content and menu options. Additionally, confirm that all links on the navigated page are clickable and lead to appropriate sections within the English Wikipedia site."
+    }
+  },
+  {
+    "timestamp": "2025-07-08 14:40:19",
+    "agents_name": "Intent Classifier Agent",
+    "number_of_tries": 1,
+    "time_taken": 2.100430965423584,
+    "user_input": {
+      "input": "Test the website by clicking the \u201cEnglish\u201d button  url: https://www.wikipedia.org"
+    },
+    "output": {
+      "agent_msg": "The intent is realted to QA",
+      "intent": true,
+      "modified_prompt": "Test if the button redirects or changes language accordingly"
+    }
+  },
+  {
+    "timestamp": "2025-07-08 14:40:20",
+    "agents_name": "Webpage Checker",
+    "number_of_tries": 1,
+    "time_taken": 1,
+    "user_input": "https://www.wikipedia.org",
+    "output": "200 - OK"
+  },
+  {
+    "timestamp": "2025-07-08 14:40:33",
+    "agents_name": "QA POSSIBILTY CHECKER",
+    "number_of_tries": 1,
+    "time_taken": 0.9662809371948242,
+    "user_input": {
+      "input": "Test if the button redirects or changes language accordingly",
+      "image_file_id": "file-Mcw82vs68mssvqhfWixeow"
+    },
+    "output": {
+      "agent_msg": "QA is possible on the extracted Snippet",
+      "qa_possibility": true
+    }
+  },
+  {
+    "timestamp": "2025-07-08 14:40:38",
+    "agents_name": "Prompt Enhancer Agent",
+    "number_of_tries": 1,
+    "time_taken": 5.07275915145874,
+    "user_input": {
+      "input": "Test if the button redirects or changes language accordingly",
+      "image_file_id": "file-Mcw82vs68mssvqhfWixeow"
+    },
+    "output": {
+      "agent_msg": "The prompt has been enhanced",
+      "enhanced_prompt": "Please conduct the following tests on the webpage: \n\n1. Identify the button(s) that are intended to redirect the user or change the language settings.\n2. Click on each button to verify if it indeed redirects to the correct page or interface and changes the language as expected.\n3. Ensure that after clicking, the target URL is correct.\n4. Validate that the page content changes to the selected language accurately, including proper translation of all text elements.\n5. Test this functionality for different languages/types of redirections available on the page.\n6. Document any discrepancies, unexpected behaviors, or defects found during testing.\n\nEnsure to perform these tests on the correct web page for valid results."
+    }
+  },
+  {
+    "timestamp": "2025-07-08 14:44:01",
+    "agents_name": "Intent Classifier Agent",
+    "number_of_tries": 1,
+    "time_taken": 1.9617981910705566,
+    "user_input": {
+      "input": "Test the website by clicking the \u201cEnglish\u201d button  url: https://www.wikipedia.org"
+    },
+    "output": {
+      "agent_msg": "The intent is realted to QA",
+      "intent": true,
+      "modified_prompt": "Test the website by clicking the \"English\" button on the provided URL."
+    }
+  },
+  {
+    "timestamp": "2025-07-08 14:44:01",
+    "agents_name": "Webpage Checker",
+    "number_of_tries": 1,
+    "time_taken": 1,
+    "user_input": "https://www.wikipedia.org",
+    "output": "200 - OK"
+  },
+  {
+    "timestamp": "2025-07-08 14:44:15",
+    "agents_name": "QA POSSIBILTY CHECKER",
+    "number_of_tries": 1,
+    "time_taken": 1.3885481357574463,
+    "user_input": {
+      "input": "Test the website by clicking the \"English\" button on the provided URL.",
+      "image_file_id": "file-EzJVsi85Wu43uaMrjVESbW"
+    },
+    "output": {
+      "agent_msg": "QA is possible on the extracted Snippet",
+      "qa_possibility": true
+    }
+  },
+  {
+    "timestamp": "2025-07-08 14:44:18",
+    "agents_name": "Prompt Enhancer Agent",
+    "number_of_tries": 1,
+    "time_taken": 3.4249157905578613,
+    "user_input": {
+      "input": "Test the website by clicking the \"English\" button on the provided URL.",
+      "image_file_id": "file-EzJVsi85Wu43uaMrjVESbW"
+    },
+    "output": {
+      "agent_msg": "The prompt has been enhanced",
+      "enhanced_prompt": "Navigate to the provided URL and locate the \"English\" button. Click the \"English\" button and verify that the page content updates to display information in English. After clicking, ensure all sections, menus, and headings appear correctly and logically in English. Check for any broken links or images within the updated page content."
+    }
+  },
+  {
+    "timestamp": "2025-07-08 14:50:14",
+    "agents_name": "Intent Classifier Agent",
+    "number_of_tries": 1,
+    "time_taken": 1.5679521560668945,
+    "user_input": {
+      "input": "Test the website by clicking the \u201cEnglish\u201d button  url: https://www.wikipedia.org"
+    },
+    "output": {
+      "agent_msg": "The intent is related to QA",
+      "intent": true,
+      "modified_prompt": ""
+    }
+  },
+  {
+    "timestamp": "2025-07-08 14:50:14",
+    "agents_name": "Webpage Checker",
+    "number_of_tries": 1,
+    "time_taken": 1,
+    "user_input": "https://www.wikipedia.org",
+    "output": "200 - OK"
+  },
+  {
+    "timestamp": "2025-07-08 14:50:26",
+    "agents_name": "QA POSSIBILTY CHECKER",
+    "number_of_tries": 1,
+    "time_taken": 1.002917766571045,
+    "user_input": {
+      "input": "Test the website by clicking the \u201cEnglish\u201d button  url: https://www.wikipedia.org",
+      "image_file_id": "file-QV3QrUQnXG9pwZ5Vt55uhc"
+    },
+    "output": {
+      "agent_msg": "QA is possible on the extracted Snippet",
+      "qa_possibility": true
+    }
+  },
+  {
+    "timestamp": "2025-07-08 14:50:29",
+    "agents_name": "Prompt Enhancer Agent",
+    "number_of_tries": 1,
+    "time_taken": 3.0238590240478516,
+    "user_input": {
+      "input": "Test the website by clicking the \u201cEnglish\u201d button  url: https://www.wikipedia.org",
+      "image_file_id": "file-QV3QrUQnXG9pwZ5Vt55uhc"
+    },
+    "output": {
+      "agent_msg": "The prompt has been enhanced",
+      "enhanced_prompt": "Open the website https://www.wikipedia.org and locate the \u201cEnglish\u201d button. Click on the \u201cEnglish\u201d button and verify that it redirects to the English version of Wikipedia's homepage. Ensure the content is displayed in English and validate that there are no errors or issues with the page's functionality after the switch."
+    }
+  },
+  {
+    "timestamp": "2025-07-08 14:51:45",
+    "agents_name": "Intent Classifier Agent",
+    "number_of_tries": 1,
+    "time_taken": 2.375852108001709,
+    "user_input": {
+      "input": "Test the website by clicking the \u201cEnglish\u201d button  url: https://www.wikipedia.org"
+    },
+    "output": {
+      "agent_msg": "The intent is realted to QA",
+      "intent": true,
+      "modified_prompt": "Test the website by clicking the \u201cEnglish\u201d button  url: https://www.wikipedia.org"
+    }
+  },
+  {
+    "timestamp": "2025-07-08 14:51:46",
+    "agents_name": "Webpage Checker",
+    "number_of_tries": 1,
+    "time_taken": 1,
+    "user_input": "https://www.wikipedia.org",
+    "output": "200 - OK"
+  },
+  {
+    "timestamp": "2025-07-08 14:51:58",
+    "agents_name": "QA POSSIBILTY CHECKER",
+    "number_of_tries": 1,
+    "time_taken": 0.88323974609375,
+    "user_input": {
+      "input": "Test the website by clicking the \u201cEnglish\u201d button  url: https://www.wikipedia.org",
+      "image_file_id": "file-VqNpx52qpfNj8zoMPaDyfL"
+    },
+    "output": {
+      "agent_msg": "QA is possible on the extracted Snippet",
+      "qa_possibility": true
+    }
+  },
+  {
+    "timestamp": "2025-07-08 14:52:02",
+    "agents_name": "Prompt Enhancer Agent",
+    "number_of_tries": 1,
+    "time_taken": 3.5737040042877197,
+    "user_input": {
+      "input": "Test the website by clicking the \u201cEnglish\u201d button  url: https://www.wikipedia.org",
+      "image_file_id": "file-VqNpx52qpfNj8zoMPaDyfL"
+    },
+    "output": {
+      "agent_msg": "The prompt has been enhanced",
+      "enhanced_prompt": "Perform the following QA tasks on the webpage:\n1. Click the 'English' button to switch the language and ensure the page content updates to English accordingly.\n2. Verify that the URL remains as https://www.wikipedia.org post language change.\n3. Ensure all the text and navigation options are correctly translated to English after clicking the button.\n4. Check that the layout and functionality of the website remain intact after the language switch."
+    }
+  },
+  {
+    "timestamp": "2025-07-08 15:07:36",
+    "agents_name": "Intent Classifier Agent",
+    "number_of_tries": 1,
+    "time_taken": 2.1028358936309814,
+    "user_input": {
+      "input": "Test the website by clicking the \u201cEnglish\u201d button  url: https://www.wikipedia.org"
+    },
+    "output": {
+      "agent_msg": "The intent is related to QA",
+      "intent": true,
+      "modified_prompt": ""
+    }
+  },
+  {
+    "timestamp": "2025-07-08 15:07:37",
+    "agents_name": "Webpage Checker",
+    "number_of_tries": 1,
+    "time_taken": 1,
+    "user_input": "https://www.wikipedia.org",
+    "output": "200 - OK"
+  },
+  {
+    "timestamp": "2025-07-08 15:07:51",
+    "agents_name": "QA POSSIBILTY CHECKER",
+    "number_of_tries": 1,
+    "time_taken": 2.320963144302368,
+    "user_input": {
+      "input": "Test the website by clicking the \u201cEnglish\u201d button  url: https://www.wikipedia.org",
+      "image_file_id": "file-PwJJKn96CtMovwz1w3Vpr1"
+    },
+    "output": {
+      "agent_msg": "QA is possible on the extracted Snippet",
+      "qa_possibility": true
+    }
+  },
+  {
+    "timestamp": "2025-07-08 15:07:55",
+    "agents_name": "Prompt Enhancer Agent",
+    "number_of_tries": 1,
+    "time_taken": 4.04434609413147,
+    "user_input": {
+      "input": "Test the website by clicking the \u201cEnglish\u201d button  url: https://www.wikipedia.org",
+      "image_file_id": "file-PwJJKn96CtMovwz1w3Vpr1"
+    },
+    "output": {
+      "agent_msg": "The prompt has been enhanced",
+      "enhanced_prompt": "Navigate to the \"https://www.wikipedia.org\" URL and perform the following QA tests: 1) Locate and click on the \"English\" button. 2) Verify that the webpage content changes to display information in English. 3) Confirm that the redirected page URL correctly corresponds to the English Wikipedia site (typically https://en.wikipedia.org/). Ensure other functionalities are consistent post language switch."
+    }
+  },
+  {
+    "timestamp": "2025-07-08 15:11:42",
+    "agents_name": "Intent Classifier Agent",
+    "number_of_tries": 1,
+    "time_taken": 2.2072410583496094,
+    "user_input": {
+      "input": "Test the website by clicking the \u201cEnglish\u201d button  url: https://www.wikipedia.org"
+    },
+    "output": {
+      "agent_msg": "The intent is realted to QA",
+      "intent": true,
+      "modified_prompt": ""
+    }
+  },
+  {
+    "timestamp": "2025-07-08 15:11:42",
+    "agents_name": "Webpage Checker",
+    "number_of_tries": 1,
+    "time_taken": 1,
+    "user_input": "https://www.wikipedia.org",
+    "output": "200 - OK"
+  },
+  {
+    "timestamp": "2025-07-08 15:11:54",
+    "agents_name": "QA POSSIBILTY CHECKER",
+    "number_of_tries": 1,
+    "time_taken": 1.2881078720092773,
+    "user_input": {
+      "input": "Test the website by clicking the \u201cEnglish\u201d button  url: https://www.wikipedia.org",
+      "image_file_id": "file-8DHn9pshJuA2izLWBH1jVf"
+    },
+    "output": {
+      "agent_msg": "QA is possible on the extracted Snippet",
+      "qa_possibility": true
+    }
+  },
+  {
+    "timestamp": "2025-07-08 15:11:57",
+    "agents_name": "Prompt Enhancer Agent",
+    "number_of_tries": 1,
+    "time_taken": 2.7372610569000244,
+    "user_input": {
+      "input": "Test the website by clicking the \u201cEnglish\u201d button  url: https://www.wikipedia.org",
+      "image_file_id": "file-8DHn9pshJuA2izLWBH1jVf"
+    },
+    "output": {
+      "agent_msg": "The prompt has been enhanced",
+      "enhanced_prompt": "Visit the website at https://www.wikipedia.org. Locate and click the \u201cEnglish\u201d button on the page. Verify that clicking this button redirects you to the English version of Wikipedia (ensure the English main page is loaded correctly). After clicking, check critical elements like the page title, header, and footer to make sure they reflect the English Wikipedia page."
+    }
+  },
+  {
+    "timestamp": "2025-07-08 15:17:38",
+    "agents_name": "Intent Classifier Agent",
+    "number_of_tries": 1,
+    "time_taken": 3.0004160404205322,
+    "user_input": {
+      "input": "Test the website by clicking the \u201cEnglish\u201d button  url: https://www.wikipedia.org"
+    },
+    "output": {
+      "agent_msg": "The intent is realted to QA",
+      "intent": true,
+      "modified_prompt": ""
+    }
+  },
+  {
+    "timestamp": "2025-07-08 15:17:38",
+    "agents_name": "Webpage Checker",
+    "number_of_tries": 1,
+    "time_taken": 1,
+    "user_input": "https://www.wikipedia.org",
+    "output": "200 - OK"
+  },
+  {
+    "timestamp": "2025-07-08 15:18:06",
+    "agents_name": "QA POSSIBILTY CHECKER",
+    "number_of_tries": 1,
+    "time_taken": 11.67253303527832,
+    "user_input": {
+      "input": "Test the website by clicking the \u201cEnglish\u201d button  url: https://www.wikipedia.org",
+      "image_file_id": "file-VrpjQMiFbEe7MkSzRKPBQ1"
+    },
+    "output": {
+      "agent_msg": "QA is possible on the extracted Snippet",
+      "qa_possibility": true
+    }
+  },
+  {
+    "timestamp": "2025-07-08 15:18:12",
+    "agents_name": "Prompt Enhancer Agent",
+    "number_of_tries": 1,
+    "time_taken": 5.578455209732056,
+    "user_input": {
+      "input": "Test the website by clicking the \u201cEnglish\u201d button  url: https://www.wikipedia.org",
+      "image_file_id": "file-VrpjQMiFbEe7MkSzRKPBQ1"
+    },
+    "output": {
+      "agent_msg": "The prompt has been enhanced",
+      "enhanced_prompt": "Please navigate to the website at the URL: https://www.wikipedia.org. Test the functionality by clicking on the \u201cEnglish\u201d button. Verify that the page redirects correctly to the English Wikipedia homepage. Additionally, ensure all links are active and display content as intended. Test for any unexpected behavior or errors during this navigation process."
+    }
+  },
+  {
+    "timestamp": "2025-07-08 15:20:26",
+    "agents_name": "Intent Classifier Agent",
+    "number_of_tries": 1,
+    "time_taken": 5.134816884994507,
+    "user_input": {
+      "input": "Test the website by clicking the \u201cEnglish\u201d button  url: https://www.wikipedia.org"
+    },
+    "output": {
+      "agent_msg": "The intent is related to QA",
+      "intent": true,
+      "modified_prompt": ""
+    }
+  },
+  {
+    "timestamp": "2025-07-08 15:20:27",
+    "agents_name": "Webpage Checker",
+    "number_of_tries": 1,
+    "time_taken": 1,
+    "user_input": "https://www.wikipedia.org",
+    "output": "200 - OK"
+  },
+  {
+    "timestamp": "2025-07-08 15:21:09",
+    "agents_name": "QA POSSIBILTY CHECKER",
+    "number_of_tries": 1,
+    "time_taken": 7.552955150604248,
+    "user_input": {
+      "input": "Test the website by clicking the \u201cEnglish\u201d button  url: https://www.wikipedia.org",
+      "image_file_id": "file-WKX2Ef9zfa6EJLm9HqYb3e"
+    },
+    "output": {
+      "agent_msg": "QA is possible on the extracted Snippet",
+      "qa_possibility": true
+    }
+  },
+  {
+    "timestamp": "2025-07-08 15:21:16",
+    "agents_name": "Prompt Enhancer Agent",
+    "number_of_tries": 1,
+    "time_taken": 6.647454261779785,
+    "user_input": {
+      "input": "Test the website by clicking the \u201cEnglish\u201d button  url: https://www.wikipedia.org",
+      "image_file_id": "file-WKX2Ef9zfa6EJLm9HqYb3e"
+    },
+    "output": {
+      "agent_msg": "The prompt has been enhanced",
+      "enhanced_prompt": "1. Navigate to the URL: https://www.wikipedia.org\n2. Locate the \u201cEnglish\u201d button on the homepage.\n3. Click on the \u201cEnglish\u201d button.\n4. Verify that the page redirects to the English language version of Wikipedia.\n5. Check that the English main page has loaded correctly without any errors.\n6. Validate that the title of the new page includes \"Wikipedia, the free encyclopedia\".\n7. Optionally, refresh the page to confirm consistency in loading.\n8. Report any discrepancies or errors observed during this process."
+    }
+  },
+  {
+    "timestamp": "2025-07-08 15:25:03",
+    "agents_name": "Intent Classifier Agent",
+    "number_of_tries": 1,
+    "time_taken": 3.0008599758148193,
+    "user_input": {
+      "input": "Test the website by clicking the \u201cEnglish\u201d button  url: https://www.wikipedia.org"
+    },
+    "output": {
+      "agent_msg": "The intent is related to QA",
+      "intent": true,
+      "modified_prompt": ""
+    }
+  },
+  {
+    "timestamp": "2025-07-08 15:25:07",
+    "agents_name": "Webpage Checker",
+    "number_of_tries": 1,
+    "time_taken": 1,
+    "user_input": "https://www.wikipedia.org",
+    "output": "200 - OK"
+  },
+  {
+    "timestamp": "2025-07-08 15:25:32",
+    "agents_name": "QA POSSIBILTY CHECKER",
+    "number_of_tries": 1,
+    "time_taken": 2.485513925552368,
+    "user_input": {
+      "input": "Test the website by clicking the \u201cEnglish\u201d button  url: https://www.wikipedia.org",
+      "image_file_id": "file-VwsDyLNj1wxTc6rCjAYtik"
+    },
+    "output": {
+      "agent_msg": "QA is not possible on the extracted Snippet as the image content for file-VwsDyLNj1wxTc6rCjAYtik is unavailable, and the existence of an 'English' button cannot be confirmed.",
+      "qa_possibility": false
+    }
+  },
+  {
+    "timestamp": "2025-07-08 15:26:23",
+    "agents_name": "Intent Classifier Agent",
+    "number_of_tries": 1,
+    "time_taken": 1.742037057876587,
+    "user_input": {
+      "input": "Test the website by clicking the \u201cEnglish\u201d button  url: https://www.wikipedia.org"
+    },
+    "output": {
+      "agent_msg": "The intent is realted to QA",
+      "intent": true,
+      "modified_prompt": ""
+    }
+  },
+  {
+    "timestamp": "2025-07-08 15:26:24",
+    "agents_name": "Webpage Checker",
+    "number_of_tries": 1,
+    "time_taken": 1,
+    "user_input": "https://www.wikipedia.org",
+    "output": "200 - OK"
+  },
+  {
+    "timestamp": "2025-07-08 15:26:37",
+    "agents_name": "QA POSSIBILTY CHECKER",
+    "number_of_tries": 1,
+    "time_taken": 1.3144009113311768,
+    "user_input": {
+      "input": "Test the website by clicking the \u201cEnglish\u201d button  url: https://www.wikipedia.org",
+      "image_file_id": "file-AtfQkmK3KDJpLwk1tr2b8Y"
+    },
+    "output": {
+      "agent_msg": "QA is possible on the extracted Snippet",
+      "qa_possibility": true
+    }
+  },
+  {
+    "timestamp": "2025-07-08 15:26:41",
+    "agents_name": "Prompt Enhancer Agent",
+    "number_of_tries": 1,
+    "time_taken": 3.7366390228271484,
+    "user_input": {
+      "input": "Test the website by clicking the \u201cEnglish\u201d button  url: https://www.wikipedia.org",
+      "image_file_id": "file-AtfQkmK3KDJpLwk1tr2b8Y"
+    },
+    "output": {
+      "agent_msg": "The prompt has been enhanced",
+      "enhanced_prompt": "Visit the website 'https://www.wikipedia.org'. Locate and click the \"English\" button on the homepage. After clicking, verify that the page redirects to the English version of Wikipedia. Ensure that the content displayed is primarily in English. Conduct a quick navigation test on the redirected page to verify that links and other segments function as expected and maintain English language consistency. Document any discrepancies or errors encountered during this process."
+    }
+  },
+  {
+    "timestamp": "2025-07-08 15:29:52",
+    "agents_name": "Intent Classifier Agent",
+    "number_of_tries": 1,
+    "time_taken": 2.2597599029541016,
+    "user_input": {
+      "input": "Test the website by clicking the \u201cEnglish\u201d button  url: https://www.wikipedia.org"
+    },
+    "output": {
+      "agent_msg": "The intent is realted to QA",
+      "intent": true,
+      "modified_prompt": ""
+    }
+  },
+  {
+    "timestamp": "2025-07-08 15:29:54",
+    "agents_name": "Webpage Checker",
+    "number_of_tries": 1,
+    "time_taken": 1,
+    "user_input": "https://www.wikipedia.org",
+    "output": "200 - OK"
+  },
+  {
+    "timestamp": "2025-07-08 15:30:09",
+    "agents_name": "QA POSSIBILTY CHECKER",
+    "number_of_tries": 1,
+    "time_taken": 1.8038909435272217,
+    "user_input": {
+      "input": "Test the website by clicking the \u201cEnglish\u201d button  url: https://www.wikipedia.org",
+      "image_file_id": "file-CwbDHXXiv6iQem1jruk89w"
+    },
+    "output": {
+      "agent_msg": "QA is possible on the extracted Snippet",
+      "qa_possibility": true
+    }
+  },
+  {
+    "timestamp": "2025-07-08 15:30:13",
+    "agents_name": "Prompt Enhancer Agent",
+    "number_of_tries": 1,
+    "time_taken": 3.8560070991516113,
+    "user_input": {
+      "input": "Test the website by clicking the \u201cEnglish\u201d button  url: https://www.wikipedia.org",
+      "image_file_id": "file-CwbDHXXiv6iQem1jruk89w"
+    },
+    "output": {
+      "agent_msg": "The prompt has been enhanced",
+      "enhanced_prompt": "Perform a functionality test on the website by clicking the \u201cEnglish\u201d button to ensure that it redirects to the English version of Wikipedia. After the click, verify that the page content is displayed in English, and ensure the correct URL (https://en.wikipedia.org) is loaded. Additionally, check that other elements on the page function correctly post-redirect, such as search functionality and navigation links."
+    }
+  },
+  {
+    "timestamp": "2025-07-08 15:59:37",
+    "agents_name": "Intent Classifier Agent",
+    "number_of_tries": 1,
+    "time_taken": 1.7998909950256348,
+    "user_input": {
+      "input": "test the website English button  url: https://www.wikipedia.org"
+    },
+    "output": {
+      "agent_msg": "The intent is realted to QA",
+      "intent": true,
+      "modified_prompt": ""
+    }
+  },
+  {
+    "timestamp": "2025-07-08 15:59:37",
+    "agents_name": "Webpage Checker",
+    "number_of_tries": 1,
+    "time_taken": 1,
+    "user_input": "https://www.wikipedia.org",
+    "output": "200 - OK"
+  },
+  {
+    "timestamp": "2025-07-08 16:00:03",
+    "agents_name": "QA POSSIBILTY CHECKER",
+    "number_of_tries": 1,
+    "time_taken": 3.1632907390594482,
+    "user_input": {
+      "input": "test the website English button  url: https://www.wikipedia.org",
+      "image_file_id": "file-MnED68eMEMgk1du8XY6dFK"
+    },
+    "output": {
+      "agent_msg": "QA is not possible on the extracted Snippet because the actual image file or visual data of the webpage cannot be analyzed here to confirm the presence of an 'English button'.",
+      "qa_possibility": false
+    }
+  },
+  {
+    "timestamp": "2025-07-08 16:00:18",
+    "agents_name": "Intent Classifier Agent",
+    "number_of_tries": 1,
+    "time_taken": 2.3103508949279785,
+    "user_input": {
+      "input": "test the website English button  url: https://www.wikipedia.org"
+    },
+    "output": {
+      "agent_msg": "The intent is realted to QA",
+      "intent": true,
+      "modified_prompt": "test the English button on the website URL: https://www.wikipedia.org"
+    }
+  },
+  {
+    "timestamp": "2025-07-08 16:00:18",
+    "agents_name": "Webpage Checker",
+    "number_of_tries": 1,
+    "time_taken": 1,
+    "user_input": "https://www.wikipedia.org",
+    "output": "200 - OK"
+  },
+  {
+    "timestamp": "2025-07-08 16:00:35",
+    "agents_name": "QA POSSIBILTY CHECKER",
+    "number_of_tries": 1,
+    "time_taken": 3.3763458728790283,
+    "user_input": {
+      "input": "test the English button on the website URL: https://www.wikipedia.org",
+      "image_file_id": "file-77G8cfHuzohresfJ1aiDQN"
+    },
+    "output": {
+      "agent_msg": "QA is possible on the extracted Snippet.",
+      "qa_possibility": true
+    }
+  },
+  {
+    "timestamp": "2025-07-08 16:00:37",
+    "agents_name": "Prompt Enhancer Agent",
+    "number_of_tries": 1,
+    "time_taken": 1.8574180603027344,
+    "user_input": {
+      "input": "test the English button on the website URL: https://www.wikipedia.org",
+      "image_file_id": "file-77G8cfHuzohresfJ1aiDQN"
+    },
+    "output": {
+      "agent_msg": "The prompt has been enhanced",
+      "enhanced_prompt": "Please test the functionality of the 'English' button on the website by visiting the URL: https://www.wikipedia.org. Ensure that clicking the 'English' button directs you to the English version of Wikipedia. Verify that the page loads correctly, and all essential elements such as the search bar and main navigation links are present and functioning. Additionally, check if the language switch affects any other components or functionality of the site."
+    }
+  },
+  {
+    "timestamp": "2025-07-08 16:02:37",
+    "agents_name": "Intent Classifier Agent",
+    "number_of_tries": 1,
+    "time_taken": 1.8434629440307617,
+    "user_input": {
+      "input": "test the website English button  url: https://www.wikipedia.org"
+    },
+    "output": {
+      "agent_msg": "The intent is realted to QA",
+      "intent": true,
+      "modified_prompt": ""
+    }
+  },
+  {
+    "timestamp": "2025-07-08 16:02:38",
+    "agents_name": "Webpage Checker",
+    "number_of_tries": 1,
+    "time_taken": 1,
+    "user_input": "https://www.wikipedia.org",
+    "output": "200 - OK"
+  },
+  {
+    "timestamp": "2025-07-08 16:02:52",
+    "agents_name": "QA POSSIBILTY CHECKER",
+    "number_of_tries": 1,
+    "time_taken": 2.0803349018096924,
+    "user_input": {
+      "input": "test the website English button  url: https://www.wikipedia.org",
+      "image_file_id": "file-SLcf4Qogw1QvgMeNwxTiUv"
+    },
+    "output": {
+      "agent_msg": "QA is not possible on the extracted Snippet because an image of the webpage is required to determine if the English button exists and is functional.",
+      "qa_possibility": false
+    }
+  },
+  {
+    "timestamp": "2025-07-08 16:03:24",
+    "agents_name": "Intent Classifier Agent",
+    "number_of_tries": 1,
+    "time_taken": 1.6848981380462646,
+    "user_input": {
+      "input": "test the website English button  url: https://www.wikipedia.org"
+    },
+    "output": {
+      "agent_msg": "The intent is related to QA",
+      "intent": true,
+      "modified_prompt": "test the website English button"
+    }
+  },
+  {
+    "timestamp": "2025-07-08 16:03:24",
+    "agents_name": "Webpage Checker",
+    "number_of_tries": 1,
+    "time_taken": 1,
+    "user_input": "https://www.wikipedia.org",
+    "output": "200 - OK"
+  },
+  {
+    "timestamp": "2025-07-08 16:03:37",
+    "agents_name": "QA POSSIBILTY CHECKER",
+    "number_of_tries": 1,
+    "time_taken": 1.4592251777648926,
+    "user_input": {
+      "input": "test the website English button",
+      "image_file_id": "file-RAQmik3rfSch23ZftZWJNM"
+    },
+    "output": {
+      "agent_msg": "QA is possible on the extracted Snippet",
+      "qa_possibility": true
+    }
+  },
+  {
+    "timestamp": "2025-07-08 16:03:39",
+    "agents_name": "Prompt Enhancer Agent",
+    "number_of_tries": 1,
+    "time_taken": 2.3228490352630615,
+    "user_input": {
+      "input": "test the website English button",
+      "image_file_id": "file-RAQmik3rfSch23ZftZWJNM"
+    },
+    "output": {
+      "agent_msg": "The prompt has been enhanced",
+      "enhanced_prompt": "Go to the webpage and locate the 'English' button. Click on the 'English' button to ensure it changes the website language to English. Verify that all the text on the webpage is displayed in English after clicking the button. Check for any translation errors or text that did not change. Also, refresh the page and check if the language preference persists. URL of the webpage is required to perform this test."
+    }
+  },
+  {
+    "timestamp": "2025-07-08 16:28:50",
+    "agents_name": "Intent Classifier Agent",
+    "number_of_tries": 1,
+    "time_taken": 2.178079128265381,
+    "user_input": {
+      "input": "Test the website English button  url: https://www.wikipedia.org"
+    },
+    "output": {
+      "agent_msg": "The intent is realted to QA",
+      "intent": true,
+      "modified_prompt": ""
+    }
+  },
+  {
+    "timestamp": "2025-07-08 16:28:50",
+    "agents_name": "Webpage Checker",
+    "number_of_tries": 1,
+    "time_taken": 1,
+    "user_input": "https://www.wikipedia.org",
+    "output": "200 - OK"
+  },
+  {
+    "timestamp": "2025-07-08 16:29:02",
+    "agents_name": "QA POSSIBILTY CHECKER",
+    "number_of_tries": 1,
+    "time_taken": 1.0448369979858398,
+    "user_input": {
+      "input": "Test the website English button  url: https://www.wikipedia.org",
+      "image_file_id": "file-DkfXjJx3sjgoa63kxLyELZ"
+    },
+    "output": {
+      "agent_msg": "QA is possible on the extracted Snippet",
+      "qa_possibility": true
+    }
+  },
+  {
+    "timestamp": "2025-07-08 16:29:09",
+    "agents_name": "Prompt Enhancer Agent",
+    "number_of_tries": 1,
+    "time_taken": 6.918717861175537,
+    "user_input": {
+      "input": "Test the website English button  url: https://www.wikipedia.org",
+      "image_file_id": "file-DkfXjJx3sjgoa63kxLyELZ"
+    },
+    "output": {
+      "agent_msg": "The prompt has been enhanced",
+      "enhanced_prompt": "Navigate to https://www.wikipedia.org and test the functionality of the 'English' button by clicking it. Confirm that clicking the button correctly redirects the user to the English version of Wikipedia. Additionally, ensure the page loads without errors and displays the expected content in English."
+    }
+  },
+  {
+    "timestamp": "2025-07-08 16:34:00",
+    "agents_name": "Intent Classifier Agent",
+    "number_of_tries": 1,
+    "time_taken": 2.216684103012085,
+    "user_input": {
+      "input": "Test the website English button  url: https://www.wikipedia.org"
+    },
+    "output": {
+      "agent_msg": "The intent is realted to QA",
+      "intent": true,
+      "modified_prompt": "Test the website English button url: https://www.wikipedia.org"
+    }
+  },
+  {
+    "timestamp": "2025-07-08 16:34:00",
+    "agents_name": "Webpage Checker",
+    "number_of_tries": 1,
+    "time_taken": 1,
+    "user_input": "https://www.wikipedia.org",
+    "output": "200 - OK"
+  },
+  {
+    "timestamp": "2025-07-08 16:34:13",
+    "agents_name": "QA POSSIBILTY CHECKER",
+    "number_of_tries": 1,
+    "time_taken": 0.9458489418029785,
+    "user_input": {
+      "input": "Test the website English button url: https://www.wikipedia.org",
+      "image_file_id": "file-FNXWiXvZ3zXTNRnXBNJ62X"
+    },
+    "output": {
+      "agent_msg": "QA is possible on the extracted Snippet",
+      "qa_possibility": true
+    }
+  },
+  {
+    "timestamp": "2025-07-08 16:34:17",
+    "agents_name": "Prompt Enhancer Agent",
+    "number_of_tries": 1,
+    "time_taken": 4.4589409828186035,
+    "user_input": {
+      "input": "Test the website English button url: https://www.wikipedia.org",
+      "image_file_id": "file-FNXWiXvZ3zXTNRnXBNJ62X"
+    },
+    "output": {
+      "agent_msg": "The prompt has been enhanced",
+      "enhanced_prompt": "Visit the URL https://www.wikipedia.org. Locate and click on the English language button on the homepage. Verify that after clicking, the browser navigates to the English Wikipedia main page. Confirm that the page loads correctly without any errors and the content is displayed in English. Also, check any links, logo, and main content sections to ensure they are functional and accurate."
+    }
+  },
+  {
+    "timestamp": "2025-07-08 16:38:38",
+    "agents_name": "Intent Classifier Agent",
+    "number_of_tries": 1,
+    "time_taken": 2.1204099655151367,
+    "user_input": {
+      "input": "Test the website English button  url: https://www.wikipedia.org"
+    },
+    "output": {
+      "agent_msg": "The intent is realted to QA",
+      "intent": true,
+      "modified_prompt": ""
+    }
+  },
+  {
+    "timestamp": "2025-07-08 16:38:39",
+    "agents_name": "Webpage Checker",
+    "number_of_tries": 1,
+    "time_taken": 1,
+    "user_input": "https://www.wikipedia.org",
+    "output": "200 - OK"
+  },
+  {
+    "timestamp": "2025-07-08 16:38:52",
+    "agents_name": "QA POSSIBILTY CHECKER",
+    "number_of_tries": 1,
+    "time_taken": 1.7879559993743896,
+    "user_input": {
+      "input": "Test the website English button  url: https://www.wikipedia.org",
+      "image_file_id": "file-9VpuZqjQdRn1NKqGgTueE4"
+    },
+    "output": {
+      "agent_msg": "QA is not possible on the extracted Snippet (The image file does not contain any identifiable elements such as a language selection button or any text indicating an English button).",
+      "qa_possibility": false
+    }
+  },
+  {
+    "timestamp": "2025-07-08 16:41:22",
+    "agents_name": "Intent Classifier Agent",
+    "number_of_tries": 1,
+    "time_taken": 2.0164451599121094,
+    "user_input": {
+      "input": "Test the website English button  url: https://www.wikipedia.org"
+    },
+    "output": {
+      "agent_msg": "The intent is realted to QA",
+      "intent": true,
+      "modified_prompt": "Test the functionality of the website English button url: https://www.wikipedia.org"
+    }
+  },
+  {
+    "timestamp": "2025-07-08 16:41:23",
+    "agents_name": "Webpage Checker",
+    "number_of_tries": 1,
+    "time_taken": 1,
+    "user_input": "https://www.wikipedia.org",
+    "output": "200 - OK"
+  },
+  {
+    "timestamp": "2025-07-08 16:41:36",
+    "agents_name": "QA POSSIBILTY CHECKER",
+    "number_of_tries": 1,
+    "time_taken": 1.633838176727295,
+    "user_input": {
+      "input": "Test the functionality of the website English button url: https://www.wikipedia.org",
+      "image_file_id": "file-FjvqPkXtqvJskXprcoYuJr"
+    },
+    "output": {
+      "agent_msg": "QA is not possible on the extracted Snippet as the image file id provided does not match any recognized input or no valid image is provided for analysis",
+      "qa_possibility": false
+    }
+  },
+  {
+    "timestamp": "2025-07-08 16:43:51",
+    "agents_name": "Intent Classifier Agent",
+    "number_of_tries": 1,
+    "time_taken": 1.7832438945770264,
+    "user_input": {
+      "input": "Test the website English button  url: https://www.wikipedia.org"
+    },
+    "output": {
+      "agent_msg": "The intent is not related to QA",
+      "intent": false,
+      "modified_prompt": null
+    }
+  },
+  {
+    "timestamp": "2025-07-08 16:45:09",
+    "agents_name": "Intent Classifier Agent",
+    "number_of_tries": 1,
+    "time_taken": 2.1412360668182373,
+    "user_input": {
+      "input": "Test the website by clicking the English button  url: https://www.wikipedia.org"
+    },
+    "output": {
+      "agent_msg": "The intent is realted to QA",
+      "intent": true,
+      "modified_prompt": "Test the website by clicking the English button"
+    }
+  },
+  {
+    "timestamp": "2025-07-08 16:45:09",
+    "agents_name": "Webpage Checker",
+    "number_of_tries": 1,
+    "time_taken": 1,
+    "user_input": "https://www.wikipedia.org",
+    "output": "200 - OK"
+  },
+  {
+    "timestamp": "2025-07-08 16:45:21",
+    "agents_name": "QA POSSIBILTY CHECKER",
+    "number_of_tries": 1,
+    "time_taken": 1.2863690853118896,
+    "user_input": {
+      "input": "Test the website by clicking the English button",
+      "image_file_id": "file-GBT34joH3VMDwmQLr1ZP4m"
+    },
+    "output": {
+      "agent_msg": "QA is possible on the extracted Snippet",
+      "qa_possibility": true
+    }
+  },
+  {
+    "timestamp": "2025-07-08 16:45:25",
+    "agents_name": "Prompt Enhancer Agent",
+    "number_of_tries": 1,
+    "time_taken": 3.460813045501709,
+    "user_input": {
+      "input": "Test the website by clicking the English button",
+      "image_file_id": "file-GBT34joH3VMDwmQLr1ZP4m"
+    },
+    "output": {
+      "agent_msg": "The prompt has been enhanced",
+      "enhanced_prompt": "1. Navigate to the website at the given URL.\n2. Identify and click on the 'English' button to switch the website language.\n3. Verify that the website language changes to English after clicking the button.\n4. Check if all sections, menus, and relevant content appear correctly in English.\n5. Ensure there are no broken links or formatting issues after switching the language.\n6. If applicable, fill in any visible forms with sample data to ensure functionality is not affected by the language switch.\n7. Confirm that the user interface remains consistent and responsive after the language change."
+    }
+  },
+  {
+    "timestamp": "2025-07-08 16:52:17",
+    "agents_name": "Intent Classifier Agent",
+    "number_of_tries": 1,
+    "time_taken": 1.5275490283966064,
+    "user_input": {
+      "input": "Test the website by clicking the English button  url: https://www.wikipedia.org"
+    },
+    "output": {
+      "agent_msg": "The intent is realted to QA",
+      "intent": true,
+      "modified_prompt": "Test the website by clicking the English button"
+    }
+  },
+  {
+    "timestamp": "2025-07-08 16:52:18",
+    "agents_name": "Webpage Checker",
+    "number_of_tries": 1,
+    "time_taken": 1,
+    "user_input": "https://www.wikipedia.org",
+    "output": "200 - OK"
+  },
+  {
+    "timestamp": "2025-07-08 16:52:29",
+    "agents_name": "QA POSSIBILTY CHECKER",
+    "number_of_tries": 1,
+    "time_taken": 1.132195234298706,
+    "user_input": {
+      "input": "Test the website by clicking the English button",
+      "image_file_id": "file-8XJfVYLLEBqYmTuNa3v5VS"
+    },
+    "output": {
+      "agent_msg": "QA is possible on the extracted Snippet",
+      "qa_possibility": true
+    }
+  },
+  {
+    "timestamp": "2025-07-08 16:52:33",
+    "agents_name": "Prompt Enhancer Agent",
+    "number_of_tries": 1,
+    "time_taken": 3.8037970066070557,
+    "user_input": {
+      "input": "Test the website by clicking the English button",
+      "image_file_id": "file-8XJfVYLLEBqYmTuNa3v5VS"
+    },
+    "output": {
+      "agent_msg": "The prompt has been enhanced",
+      "enhanced_prompt": "1. Navigate to the website using the provided URL.\n2. Locate the 'English' button on the web page.\n3. Click the 'English' button and verify that the page content switches to English language.\n4. Check that all elements such as menus, headings, and body text are correctly translated to English.\n5. Ensure that no elements are missing or misaligned after the language change.\n6. Test the responsiveness of the site after changing the language by resizing the browser window.\n7. Confirm that any language-specific links or resources are properly adjusted to the selected language.\n8. Verify the 'English' button is functional across different browsers and devices for cross-browser compatibility."
+    }
+  },
+  {
+    "timestamp": "2025-07-08 17:00:54",
+    "agents_name": "Intent Classifier Agent",
+    "number_of_tries": 1,
+    "time_taken": 2.0841617584228516,
+    "user_input": {
+      "input": "Test the website by clicking the English button  url: https://www.wikipedia.org"
+    },
+    "output": {
+      "agent_msg": "The intent is realted to QA",
+      "intent": true,
+      "modified_prompt": ""
+    }
+  },
+  {
+    "timestamp": "2025-07-08 17:00:55",
+    "agents_name": "Webpage Checker",
+    "number_of_tries": 1,
+    "time_taken": 1,
+    "user_input": "https://www.wikipedia.org",
+    "output": "200 - OK"
+  },
+  {
+    "timestamp": "2025-07-08 17:01:14",
+    "agents_name": "QA POSSIBILTY CHECKER",
+    "number_of_tries": 1,
+    "time_taken": 1.7716867923736572,
+    "user_input": {
+      "input": "Test the website by clicking the English button  url: https://www.wikipedia.org",
+      "image_file_id": "file-1PmDStUgsoaEUMjUUHheHk"
+    },
+    "output": {
+      "agent_msg": "QA is possible on the extracted Snippet",
+      "qa_possibility": true
+    }
+  },
+  {
+    "timestamp": "2025-07-08 17:01:17",
+    "agents_name": "Prompt Enhancer Agent",
+    "number_of_tries": 1,
+    "time_taken": 3.477692127227783,
+    "user_input": {
+      "input": "Test the website by clicking the English button  url: https://www.wikipedia.org",
+      "image_file_id": "file-1PmDStUgsoaEUMjUUHheHk"
+    },
+    "output": {
+      "agent_msg": "The prompt has been enhanced",
+      "enhanced_prompt": "Visit the website at https://www.wikipedia.org. Click on the 'English' button. Verify that the page successfully navigates to the English version of Wikipedia. Ensure all main features, such as the search bar, main page content, and footer links, are properly displayed and functional. Check for any errors or broken links after navigation. Provide feedback on the overall loading time and responsiveness of the page."
+    }
+  },
+  {
+    "timestamp": "2025-07-08 17:03:42",
+    "agents_name": "Intent Classifier Agent",
+    "number_of_tries": 1,
+    "time_taken": 3.1937530040740967,
+    "user_input": {
+      "input": "Test the website by clicking the English button  url: https://www.wikipedia.org"
+    },
+    "output": {
+      "agent_msg": "The intent is related to QA",
+      "intent": true,
+      "modified_prompt": "Test the website by clicking the English button on the Wikipedia URL provided."
+    }
+  },
+  {
+    "timestamp": "2025-07-08 17:03:43",
+    "agents_name": "Webpage Checker",
+    "number_of_tries": 1,
+    "time_taken": 1,
+    "user_input": "https://www.wikipedia.org",
+    "output": "200 - OK"
+  },
+  {
+    "timestamp": "2025-07-08 17:04:02",
+    "agents_name": "QA POSSIBILTY CHECKER",
+    "number_of_tries": 1,
+    "time_taken": 1.6026661396026611,
+    "user_input": {
+      "input": "Test the website by clicking the English button on the Wikipedia URL provided.",
+      "image_file_id": "file-VhArgm26C75jgigGd2jMQR"
+    },
+    "output": {
+      "agent_msg": "QA is possible on the extracted Snippet",
+      "qa_possibility": true
+    }
+  },
+  {
+    "timestamp": "2025-07-08 17:04:04",
+    "agents_name": "Prompt Enhancer Agent",
+    "number_of_tries": 1,
+    "time_taken": 2.864670991897583,
+    "user_input": {
+      "input": "Test the website by clicking the English button on the Wikipedia URL provided.",
+      "image_file_id": "file-VhArgm26C75jgigGd2jMQR"
+    },
+    "output": {
+      "agent_msg": "The prompt has been enhanced",
+      "enhanced_prompt": "Go to the provided Wikipedia URL. Test the website by locating and clicking on the 'English' language button as available on the site's language selection page. After clicking, verify that the site redirects to the English version of Wikipedia successfully without any errors or broken links. Ensure to check the integrity and loading speed of the redirect page."
+    }
+  },
+  {
+    "timestamp": "2025-07-08 17:10:06",
+    "agents_name": "Intent Classifier Agent",
+    "number_of_tries": 1,
+    "time_taken": 5.484982013702393,
+    "user_input": {
+      "input": "Test the website by adding \u201cChah\u201d card into the cart  url: https://soz.com.pk/collections/cards-1"
+    },
+    "output": {
+      "agent_msg": "The intent is related to QA",
+      "intent": true,
+      "modified_prompt": ""
+    }
+  },
+  {
+    "timestamp": "2025-07-08 17:10:09",
+    "agents_name": "Webpage Checker",
+    "number_of_tries": 1,
+    "time_taken": 1,
+    "user_input": "https://soz.com.pk/collections/cards-1",
+    "output": "200 - OK"
+  },
+  {
+    "timestamp": "2025-07-08 17:10:44",
+    "agents_name": "QA POSSIBILTY CHECKER",
+    "number_of_tries": 1,
+    "time_taken": 2.9013891220092773,
+    "user_input": {
+      "input": "Test the website by adding \u201cChah\u201d card into the cart  url: https://soz.com.pk/collections/cards-1",
+      "image_file_id": "file-HV8th8fcGEFmRs72q84Vgb"
+    },
+    "output": {
+      "agent_msg": "QA is not possible on the extracted Snippet because without the image, it is impossible to determine if there is a 'Chah' card available on the webpage to add to the cart.",
+      "qa_possibility": false
+    }
+  },
+  {
+    "timestamp": "2025-07-08 17:11:54",
+    "agents_name": "Intent Classifier Agent",
+    "number_of_tries": 1,
+    "time_taken": 1.2882602214813232,
+    "user_input": {
+      "input": "Test the website by adding \"Chah - Pack of 2 Greeting Cards with Envelopes\u201d into the cart  url: https://soz.com.pk/collections/cards-1"
+    },
+    "output": {
+      "agent_msg": "The intent is related to QA",
+      "intent": true,
+      "modified_prompt": null
+    }
+  },
+  {
+    "timestamp": "2025-07-08 17:11:54",
+    "agents_name": "Webpage Checker",
+    "number_of_tries": 1,
+    "time_taken": 1,
+    "user_input": "https://soz.com.pk/collections/cards-1",
+    "output": "200 - OK"
+  },
+  {
+    "timestamp": "2025-07-08 17:12:21",
+    "agents_name": "QA POSSIBILTY CHECKER",
+    "number_of_tries": 1,
+    "time_taken": 1.9297709465026855,
+    "user_input": {
+      "input": "Test the website by adding \"Chah - Pack of 2 Greeting Cards with Envelopes\u201d into the cart  url: https://soz.com.pk/collections/cards-1",
+      "image_file_id": "file-JmP6MUQk8c41ixxmKJicDz"
+    },
+    "output": {
+      "agent_msg": "QA is not possible on the extracted Snippet because the image file does not provide the details of the specific item 'Chah - Pack of 2 Greeting Cards with Envelopes'.",
+      "qa_possibility": false
+    }
+  },
+  {
+    "timestamp": "2025-07-08 17:13:29",
+    "agents_name": "Intent Classifier Agent",
+    "number_of_tries": 1,
+    "time_taken": 1.9151320457458496,
+    "user_input": {
+      "input": "Test the website by adding \"Chah - Pack of 2 Greeting Cards with Envelopes\u201d into the cart  url: https://soz.com.pk/collections/cards-1"
+    },
+    "output": {
+      "agent_msg": "The intent is related to QA",
+      "intent": true,
+      "modified_prompt": ""
+    }
+  },
+  {
+    "timestamp": "2025-07-08 17:13:30",
+    "agents_name": "Webpage Checker",
+    "number_of_tries": 1,
+    "time_taken": 1,
+    "user_input": "https://soz.com.pk/collections/cards-1",
+    "output": "200 - OK"
+  },
+  {
+    "timestamp": "2025-07-08 17:13:55",
+    "agents_name": "QA POSSIBILTY CHECKER",
+    "number_of_tries": 1,
+    "time_taken": 1.3308610916137695,
+    "user_input": {
+      "input": "Test the website by adding \"Chah - Pack of 2 Greeting Cards with Envelopes\u201d into the cart  url: https://soz.com.pk/collections/cards-1",
+      "image_file_id": "file-1TXGrgHUsuHzDeF3gpsiJS"
+    },
+    "output": {
+      "agent_msg": "QA is possible on the extracted Snippet",
+      "qa_possibility": true
+    }
+  },
+  {
+    "timestamp": "2025-07-08 17:13:59",
+    "agents_name": "Prompt Enhancer Agent",
+    "number_of_tries": 1,
+    "time_taken": 3.272961139678955,
+    "user_input": {
+      "input": "Test the website by adding \"Chah - Pack of 2 Greeting Cards with Envelopes\u201d into the cart  url: https://soz.com.pk/collections/cards-1",
+      "image_file_id": "file-1TXGrgHUsuHzDeF3gpsiJS"
+    },
+    "output": {
+      "agent_msg": "The prompt has been enhanced",
+      "enhanced_prompt": "1. Navigate to https://soz.com.pk/collections/cards-1. \n2. Locate the product titled \"Chah - Pack of 2 Greeting Cards with Envelopes.\"\n3. Click on the product to view its details.\n4. Add the product to the shopping cart.\n5. Verify that the product is correctly added to the cart by checking the cart icon or section.\n6. Ensure that the correct product name and quantity are displayed in the cart summary.\n7. Proceed to checkout to ensure the item is ready for purchase.\n8. Make sure no errors occur during this process."
     }
+  }
 ]
\ No newline at end of file
diff --git a/src/webui/components/browser_use_agent_tab.py b/src/webui/components/browser_use_agent_tab.py
index 88eb6441..2482da02 100644
--- a/src/webui/components/browser_use_agent_tab.py
+++ b/src/webui/components/browser_use_agent_tab.py
@@ -1,12 +1,26 @@
+from typing import AsyncGenerator, Dict, Any
 import asyncio
 import json
 import logging
 import os
 import uuid
 from typing import Any, AsyncGenerator, Dict, Optional
-
+import os, time
+from src.browser.browser_recorder import BrowserRecorder
+from browser_use.agent.views import (
+    ActionResult,
+    AgentHistory,
+    AgentHistoryList,
+    AgentStepInfo,
+    ToolCallingMethod,
+)
+import re
+import ast
 import gradio as gr
 
+import re
+
+
 # from browser_use.agent.service import Agent
 from browser_use.agent.views import (
     AgentHistoryList,
@@ -30,6 +44,12 @@
 
 logger = logging.getLogger(__name__)
 
+import re
+import ast
+
+import re
+
+
 
 # --- Helper Functions --- (Defined at module level)
 
@@ -38,9 +58,9 @@ async def _initialize_llm(
         provider: Optional[str],
         model_name: Optional[str],
         temperature: float,
-        base_url: Optional[str],
+        #base_url: Optional[str],              #Not required by current llm_provider implementation
         api_key: Optional[str],
-        num_ctx: Optional[int] = None,
+        #num_ctx: Optional[int] = None,        #Context window control not implemented 
 ) -> Optional[BaseChatModel]:
     """Initializes the LLM based on settings. Returns None if provider/model is missing."""
     if not provider or not model_name:
@@ -56,10 +76,10 @@ async def _initialize_llm(
             provider=provider,
             model_name=model_name,
             temperature=temperature,
-            base_url=base_url or None,
+            #base_url=base_url or None,             #not needed in current setup.
             api_key=api_key or None,
             # Add other relevant params like num_ctx for ollama
-            num_ctx=num_ctx if provider == "ollama" else None,
+            #num_ctx=num_ctx if provider == "ollama" else None,             #may control context window size for some providers but unused here.
         )
         return llm
     except Exception as e:
@@ -69,34 +89,35 @@ async def _initialize_llm(
         )
         return None
 
-
-def _get_config_value(
-        webui_manager: WebuiManager,
-        comp_dict: Dict[gr.components.Component, Any],
-        comp_id_suffix: str,
-        default: Any = None,
-) -> Any:
-    """Safely get value from component dictionary using its ID suffix relative to the tab."""
-    # Assumes component ID format is "tab_name.comp_name"
-    tab_name = "browser_use_agent"  # Hardcode or derive if needed
-    comp_id = f"{tab_name}.{comp_id_suffix}"
-    # Need to find the component object first using the ID from the manager
-    try:
-        comp = webui_manager.get_component_by_id(comp_id)
-        return comp_dict.get(comp, default)
-    except KeyError:
-        # Try accessing settings tabs as well
-        for prefix in ["agent_settings", "browser_settings"]:
-            try:
-                comp_id = f"{prefix}.{comp_id_suffix}"
-                comp = webui_manager.get_component_by_id(comp_id)
-                return comp_dict.get(comp, default)
-            except KeyError:
-                continue
-        logger.warning(
-            f"Component with suffix '{comp_id_suffix}' not found in manager for value lookup."
-        )
-        return default
+#This function is defined to get Gradio settings but is never used anywhere in the code.
+
+# def _get_config_value(
+#         webui_manager: WebuiManager,
+#         comp_dict: Dict[gr.components.Component, Any],
+#         comp_id_suffix: str,
+#         default: Any = None,
+# ) -> Any:
+#     """Safely get value from component dictionary using its ID suffix relative to the tab."""
+#     # Assumes component ID format is "tab_name.comp_name"
+#     tab_name = "browser_use_agent"  # Hardcode or derive if needed
+#     comp_id = f"{tab_name}.{comp_id_suffix}"
+#     # Need to find the component object first using the ID from the manager
+#     try:
+#         comp = webui_manager.get_component_by_id(comp_id)
+#         return comp_dict.get(comp, default)
+#     except KeyError:
+#         # Try accessing settings tabs as well
+#         for prefix in ["agent_settings", "browser_settings"]:
+#             try:
+#                 comp_id = f"{prefix}.{comp_id_suffix}"
+#                 comp = webui_manager.get_component_by_id(comp_id)
+#                 return comp_dict.get(comp, default)
+#             except KeyError:
+#                 continue
+#         logger.warning(
+#             f"Component with suffix '{comp_id_suffix}' not found in manager for value lookup."
+#         )
+#         return default
 
 
 def _format_agent_output(model_output: AgentOutput) -> str:
@@ -156,7 +177,10 @@ async def _handle_new_step(
     #get the current directory
     #and create a new directory according to the step number
     current_dir = os.path.dirname(__file__)
-    output_data_dir = os.path.join(current_dir, "..", "..", "outputdata", "step_" + str(step_num))
+    # output_data_dir = os.path.join(current_dir, "..", "..", "src", "outputdata", "step_" + str(step_num))
+    #output_data_dir = os.path.join(current_dir, "..", "..", "outputdata", "step_" + str(step_num))
+    output_data_dir = "./outputdata"
+
     os.makedirs(output_data_dir, exist_ok=True)
 
     # --- Screenshot Handling ---
@@ -172,7 +196,8 @@ async def _handle_new_step(
                     isinstance(screenshot_data, str) and len(screenshot_data) > 100
             ):  
                 # Decode the base64 string
-                image_to_save_locally = screenshot_data = base64.b64decode(screenshot_data)
+                #image_to_save_locally = screenshot_data = base64.b64decode(screenshot_data)      # change this line of code bc here screenshot_data value is override
+                image_to_save_locally = base64.b64decode(screenshot_data)
 
                 #saving the image in the output data directory
                 image_path = os.path.join(output_data_dir, "output_image.png")
@@ -186,7 +211,7 @@ async def _handle_new_step(
                 
                 # Arbitrary length check
                 # *** UPDATED STYLE: Removed centering, adjusted width ***
-                img_tag = f'<img src="data:image/jpeg;base64,{screenshot_data}" alt="Step {step_num} Screenshot" style="max-width: 800px; max-height: 600px; object-fit:contain;" />'
+                img_tag = f'<img src="data:image/jpeg;base64,{image_to_save_locally}" alt="Step {step_num} Screenshot" style="max-width: 800px; max-height: 600px; object-fit:contain;" />'
                 screenshot_html = (
                         img_tag + "<br/>"
                 )  # Use <br/> for line break after inline-block image
@@ -240,7 +265,8 @@ async def _handle_new_step(
     await asyncio.sleep(0.05)
 
     # Check if video recording is active
-    if hasattr(webui_manager.bu_browser, 'recorder'):
+    if hasattr(webui_manager.bu_browser, ''
+    ''):
         if webui_manager.bu_browser.recorder.is_video_recording():
             logger.info("🎥 Video recording is active")
         else:
@@ -270,434 +296,634 @@ def _handle_done(webui_manager: WebuiManager, history: AgentHistoryList):
         {"role": "assistant", "content": final_summary}
     )
 
-
-async def _ask_assistant_callback(
-        webui_manager: WebuiManager, query: str, browser_context: BrowserContext
-) -> Dict[str, Any]:
-    """Callback triggered by the agent's ask_for_assistant action."""
-    logger.info("Agent requires assistance. Waiting for user input.")
-
-    if not hasattr(webui_manager, "_chat_history"):
-        logger.error("Chat history not found in webui_manager during ask_assistant!")
-        return {"response": "Internal Error: Cannot display help request."}
-
-    webui_manager.bu_chat_history.append(
-        {
-            "role": "assistant",
-            "content": f"**Need Help:** {query}\nPlease provide information or perform the required action in the browser, then type your response/confirmation below and click 'Submit Response'.",
-        }
-    )
-
-    # Use state stored in webui_manager
-    webui_manager.bu_response_event = asyncio.Event()
-    webui_manager.bu_user_help_response = None  # Reset previous response
-
-    try:
-        logger.info("Waiting for user response event...")
-        await asyncio.wait_for(
-            webui_manager.bu_response_event.wait(), timeout=3600.0
-        )  # Long timeout
-        logger.info("User response event received.")
-    except asyncio.TimeoutError:
-        logger.warning("Timeout waiting for user assistance.")
-        webui_manager.bu_chat_history.append(
-            {
-                "role": "assistant",
-                "content": "**Timeout:** No response received. Trying to proceed.",
-            }
-        )
-        webui_manager.bu_response_event = None  # Clear the event
-        return {"response": "Timeout: User did not respond."}  # Inform the agent
-
-    response = webui_manager.bu_user_help_response
-    webui_manager.bu_chat_history.append(
-        {"role": "user", "content": response}
-    )  # Show user response in chat
-    webui_manager.bu_response_event = (
-        None  # Clear the event for the next potential request
-    )
-    return {"response": response}
+#This callback handles agent help requests but isn’t used in the current flow. 
+# and This feature is disabled for the current use case.
+
+# async def _ask_assistant_callback(
+#         webui_manager: WebuiManager, query: str #, browser_context: BrowserContext
+# ) -> Dict[str, Any]:
+#     """Callback triggered by the agent's ask_for_assistant action."""
+#     logger.info("Agent requires assistance. Waiting for user input.")
+
+#     if not hasattr(webui_manager, "_chat_history"):
+#         logger.error("Chat history not found in webui_manager during ask_assistant!")
+#         return {"response": "Internal Error: Cannot display help request."}
+
+#     webui_manager.bu_chat_history.append(
+#         {
+#             "role": "assistant",
+#             "content": f"**Need Help:** {query}\nPlease provide information or perform the required action in the browser, then type your response/confirmation below and click 'Submit Response'.",
+#         }
+#     )
+
+#     # Use state stored in webui_manager
+#     webui_manager.bu_response_event = asyncio.Event()
+#     webui_manager.bu_user_help_response = None  # Reset previous response
+
+#     try:
+#         logger.info("Waiting for user response event...")
+#         await asyncio.wait_for(
+#             webui_manager.bu_response_event.wait(), timeout=3600.0
+#         )  # Long timeout
+#         logger.info("User response event received.")
+#     except asyncio.TimeoutError:
+#         logger.warning("Timeout waiting for user assistance.")
+#         webui_manager.bu_chat_history.append(
+#             {
+#                 "role": "assistant",
+#                 "content": "**Timeout:** No response received. Trying to proceed.",
+#             }
+#         )
+#         webui_manager.bu_response_event = None  # Clear the event
+#         return {"response": "Timeout: User did not respond."}  # Inform the agent
+
+#     response = webui_manager.bu_user_help_response
+#     webui_manager.bu_chat_history.append(
+#         {"role": "user", "content": response}
+#     )  # Show user response in chat
+#     webui_manager.bu_response_event = (
+#         None  # Clear the event for the next potential request
+#     )
+#     return {"response": response}
 
 # --- Core Agent Execution Logic --- (Needs access to webui_manager)
 
-async def run_agent_task(
-        webui_manager: WebuiManager, components: Dict[gr.components.Component, Any]
-) -> AsyncGenerator[Dict[gr.components.Component, Any], None]:
-    """Handles the entire lifecycle of initializing and running the agent."""
+async def run_agent_task(query: str, url: str) -> Dict[str, Any]:
+    """
+    Simplified agent runner that handles everything
+    Returns: {
+        "task_id": str,
+        "final_result": str,
+        "screenshot_paths": list[str],
+        "response_paths": list[str],
+        "output_dir": str
+    }
+    """
+    task_id = str(uuid.uuid4())
+    output_dir = os.path.join("src", "outputdata")
     
-    # Initialize final_update at the start
-    final_update = {}
-
-    # --- Get Components ---
-    # Need handles to specific UI components to update them
-    user_input_comp = webui_manager.get_component_by_id("browser_use_agent.user_input")
-    url_input_comp = webui_manager.get_component_by_id("browser_use_agent.url_input")
-    run_button_comp = webui_manager.get_component_by_id("browser_use_agent.run_button")
-    stop_button_comp = webui_manager.get_component_by_id(
-        "browser_use_agent.stop_button"
+    os.makedirs(output_dir, exist_ok=True)
+    
+    # 1. Initialize browser
+    playwright = await async_playwright().start()
+    browser = CustomBrowser(
+        config=BrowserConfig(
+            headless=False,
+            disable_security=False,
+            extra_browser_args=[],
+            new_context_config=BrowserContextConfig(
+                window_width=1280,
+                window_height=1100
+            )
+        )
     )
-    pause_resume_button_comp = webui_manager.get_component_by_id(
-        "browser_use_agent.pause_resume_button"
+    
+    
+    playwright_browser = await browser._setup_builtin_browser(playwright)
+    
+    # Setup recorder with the actual browser instance
+    recorder = BrowserRecorder()
+    browser_context = await recorder.setup_recording(playwright_browser)  # FIXED HERE
+    
+    
+    # 2. Create context
+    context_config = BrowserContextConfig(
+        save_downloads_path=os.path.join(output_dir, "downloads"),
+        window_height=1100,
+        window_width=1280,
     )
-    clear_button_comp = webui_manager.get_component_by_id(
-        "browser_use_agent.clear_button"
+    browser_context = await browser.new_context(config=context_config)
+    await browser_context.setup()
+    
+    # 3. Initialize controller
+    controller = CustomController()
+    
+    # 4. Initialize LLM
+    llm = await _initialize_llm(
+        provider="openai",
+        model_name="gpt-4o",
+        temperature=0.6,
+        api_key=os.getenv("OPENAI_API_KEY")
     )
-    chatbot_comp = webui_manager.get_component_by_id("browser_use_agent.chatbot")
-    history_file_comp = webui_manager.get_component_by_id(
-        "browser_use_agent.agent_history_file"
+    
+    # 5. Create step handler
+    async def handle_step(state: BrowserState, output: AgentOutput, step_num: int):
+        """Process each agent step and save outputs"""
+        step_dir = os.path.join(output_dir, f"step_{step_num}")
+        os.makedirs(step_dir, exist_ok=True)
+        
+        # Save screenshot
+        screenshot_path = None
+        if state.screenshot:
+            try:
+                image_data = base64.b64decode(state.screenshot)
+                screenshot_path = os.path.join(step_dir, "screenshot.png")
+                with open(screenshot_path, "wb") as f:
+                    f.write(image_data)
+            except Exception as e:
+                logger.error(f"Error saving screenshot: {e}")
+        
+        # Save agent response
+        response_data = {
+            "evaluation_previous_goal": getattr(output.current_state, "evaluation_previous_goal", ""),
+            "memory": getattr(output.current_state, "memory", ""),
+            "next_goal": getattr(output.current_state, "next_goal", ""),
+        }
+        response_path = os.path.join(step_dir, "agent_response.json")
+        with open(response_path, "w") as f:
+            json.dump(response_data, f)
+            
+        return screenshot_path, response_path
+
+    # 6. Run agent
+    agent = AgentOrchestrator(
+        llm=llm,
+        browser_config={
+            "headless": False,
+            "window_width": 1280,
+            "window_height": 1100,
+            "use_own_browser": True,
+            "disable_security": False,
+            "url": url
+        },
+        use_vision=True,
+        max_actions_per_step=5,
+        generate_gif=True,
+        user_query=f"{query}  url: {url}",
+        url=url,
+        register_new_step_callback=handle_step,
+        #done_callback=lambda history: logger.info(f"Task completed in {history.total_duration_seconds():.2f}s"),
+        override_system_prompt=None,
+        extend_system_prompt=None,
     )
-    gif_comp = webui_manager.get_component_by_id("browser_use_agent.recording_gif")
-    browser_view_comp = webui_manager.get_component_by_id(
-        "browser_use_agent.browser_view"
+    
+    history = await agent.run(
+        task=f"{query}  url: {url}",
+        browser=browser,
+        browser_context=browser_context,
+        controller=controller
     )
+    last_result = None
 
-    # --- 1. Get Task and Initial UI Update ---
-    task = components.get(user_input_comp, "").strip()
-    url = components.get(url_input_comp, "").strip()
+    if history.history:
+        last_history_item = history.history[-1]  # Get the last history item
+        if last_history_item.result:
+            last_result = last_history_item.result[-1]  # Get the last result in that item
 
-    #lets always make sure that if the task is not empty then it should have the url in it
-    if task:
-        task += f"  url:  {url}"
+    # Now you can access fields like:
+    if last_result:
+        
+        print(type(last_result.extracted_content))
+        
+        print("sample output:",last_result.extracted_content[-1])
+        print("✅ Extracted Content:", last_result.extracted_content)
+        print("✅ Is Done:", last_result.is_done)
+        #logger.info(f'📄 Result: {result[-1].extracted_content}')
 
     else:
-        gr.Warning("Please enter a task.")
-        yield {run_button_comp: gr.update(interactive=True)}
-        return
+        print("⚠️ No result found.")
 
-    # Set running state indirectly via _current_task
-    webui_manager.bu_chat_history.append({"role": "user", "content": task})
+    await recorder.save_recording()
 
-    yield {
-        user_input_comp: gr.Textbox(
-            value="", interactive=False, placeholder="Agent is running..."
-        ),
-        run_button_comp: gr.Button(value="⏳ Running...", interactive=False),
-        stop_button_comp: gr.Button(interactive=True),
-        pause_resume_button_comp: gr.Button(value="⏸️ Pause", interactive=True),
-        clear_button_comp: gr.Button(interactive=False),
-        chatbot_comp: gr.update(value=webui_manager.bu_chat_history),
-        history_file_comp: gr.update(value=None),
-        gif_comp: gr.update(value=None),
-    }
+    
+    # 7. Cleanup
+    await browser_context.close()
+    await browser.close()
+    await playwright.stop()
+  
+    videos = recorder.get_recorded_videos()
+    
+    # Validate that videos actually exist
+    valid_videos = []
+    for video in videos:
+        video_path = os.path.join("outputdata", "videos", video)
+        if os.path.exists(video_path):
+            valid_videos.append(video)
+        else:
+            logger.warning(f"⚠️ Video file not found: {video_path}")
+
+       
+    final_result = "No result"
+    if last_result and last_result.extracted_content:
+        content = last_result.extracted_content
+        match = re.search(r"'done':\s*\{(.*?)\}", content, re.DOTALL)
+        if match:
+            final_result = match.group(1).strip()
+            print("✅ Extracted final result :", final_result)
+        else:
+            final_result = content.strip()  # fallback if regex doesn't match
+    else:
+        final_result = history.final_result() or "No result"
 
-    # --- 2. Get Settings ---
-    def get_setting(key, default=None):
-        comp = webui_manager.id_to_component.get(f"agent_settings.{key}")
-        return components.get(comp, default) if comp else default
-
-    # Main LLM Settings
-    llm_provider_name = get_setting("llm_provider") or "openai"
-    llm_model_name = get_setting("llm_model_name") or "gpt-4o"
-    llm_temperature = get_setting("llm_temperature", 0.6)
-    llm_base_url = get_setting("llm_base_url") or None
-    llm_api_key = get_setting("llm_api_key") or None
-    ollama_num_ctx = get_setting("ollama_num_ctx", 16000)
-    use_vision = get_setting("use_vision", False)
-    max_actions = get_setting("max_actions_per_step", 5)
-    max_steps = get_setting("max_steps", 25)
-    tool_calling_method = get_setting("tool_calling_method", "auto")
-    max_input_tokens = get_setting("max_input_tokens", 16000)
-    override_system_prompt = get_setting("override_system_prompt") or None
-    extend_system_prompt = get_setting("extend_system_prompt") or None
-
-    # --- 3. Initialize LLM ---
-    logger.info(f"Initializing LLM: Provider={llm_provider_name}, Model={llm_model_name}, Temp={llm_temperature}")
-    main_llm = await _initialize_llm(
-        llm_provider_name,
-        llm_model_name,
-        llm_temperature,
-        llm_base_url,
-        llm_api_key,
-        ollama_num_ctx if llm_provider_name == "ollama" else None,
-    )
 
-    planner_llm_provider_name = get_setting("planner_llm_provider") or None
-    planner_llm = None
-    planner_use_vision = False
-    if planner_llm_provider_name:
-        planner_llm_model_name = get_setting("planner_llm_model_name")
-        planner_llm_temperature = get_setting("planner_llm_temperature", 0.6)
-        planner_ollama_num_ctx = get_setting("planner_ollama_num_ctx", 16000)
-        planner_llm_base_url = get_setting("planner_llm_base_url") or None
-        planner_llm_api_key = get_setting("planner_llm_api_key") or None
-        planner_use_vision = get_setting("planner_use_vision", False)
-
-        planner_llm = await _initialize_llm(
-            planner_llm_provider_name,
-            planner_llm_model_name,
-            planner_llm_temperature,
-            planner_llm_base_url,
-            planner_llm_api_key,
-            planner_ollama_num_ctx if planner_llm_provider_name == "ollama" else None,
-        )
+#     # Get only the final ActionResult.extracted_content
+#     final_result = (
+#         last_result.extracted_content 
+#         if last_result and last_result.extracted_content 
+#         else history.final_result() or "No result"
+# )
+    return {
+        "task_id": task_id,
+        "final_result": final_result,
+        "videos": valid_videos
+    }
+    
+    
+async def _initialize_llm(
+        provider: str,
+        model_name: str,
+        temperature: float,
+        api_key: Optional[str] = None
+) -> BaseChatModel:
+    """Initialize LLM instance"""
+    logger.info(f"Initializing LLM: {provider}/{model_name}")
+    return llm_provider.get_llm_model(
+        provider=provider,
+        model_name=model_name,
+        temperature=temperature,
+        api_key=api_key,
+    )
 
-    # --- 4. Browser Settings ---
-    def get_browser_setting(key, default=None):
-        comp = webui_manager.id_to_component.get(f"browser_settings.{key}")
-        return components.get(comp, default) if comp else default
-
-    browser_binary_path = get_browser_setting("browser_binary_path") or None
-    browser_user_data_dir = get_browser_setting("browser_user_data_dir") or None
-    use_own_browser = get_browser_setting("use_own_browser", False)
-    keep_browser_open = get_browser_setting("keep_browser_open", False)
-    headless = get_browser_setting("headless", False)
-    disable_security = get_browser_setting("disable_security", False)
-    window_w = int(get_browser_setting("window_w", 1280))
-    window_h = int(get_browser_setting("window_h", 1100))
-    cdp_url = get_browser_setting("cdp_url") or None
-    wss_url = get_browser_setting("wss_url") or None
-    save_recording_path = get_browser_setting("save_recording_path") or None
-    save_trace_path = get_browser_setting("save_trace_path") or None
-    save_agent_history_path = get_browser_setting("save_agent_history_path", "./tmp/agent_history")
-    save_download_path = get_browser_setting("save_download_path", "./tmp/downloads")
-    should_close_browser_on_finish = not keep_browser_open
-
-    # Create necessary directories
-    os.makedirs(save_agent_history_path, exist_ok=True)
-    if save_recording_path:
-        os.makedirs(save_recording_path, exist_ok=True)
-    if save_trace_path:
-        os.makedirs(save_trace_path, exist_ok=True)
-    if save_download_path:
-        os.makedirs(save_download_path, exist_ok=True)
-
-    # --- 5. Initialize Browser and Context ---
-    try:
-        # Close existing resources if not keeping open
-        if not keep_browser_open:
-            if webui_manager.bu_browser_context:
-                logger.info("Closing previous browser context.")
-                await webui_manager.bu_browser_context.close()
-                webui_manager.bu_browser_context = None
-            if webui_manager.bu_browser:
-                logger.info("Closing previous browser.")
-                await webui_manager.bu_browser.close()
-                webui_manager.bu_browser = None
-
-        # Create Browser if needed
-        if not webui_manager.bu_browser:
-            logger.info("Launching new browser instance.")
-            extra_args = []
-            if use_own_browser:
-                browser_binary_path = os.getenv("BROWSER_PATH", None) or browser_binary_path
-                if browser_binary_path == "":
-                    browser_binary_path = None
-                browser_user_data = browser_user_data_dir or os.getenv("BROWSER_USER_DATA", None)
-                if browser_user_data:
-                    extra_args += [f"--user-data-dir={browser_user_data}"]
-            else:
-                browser_binary_path = None
-
-            webui_manager.bu_browser = CustomBrowser(
-                config=BrowserConfig(
-                    headless=headless,
-                    disable_security=disable_security,
-                    browser_binary_path=browser_binary_path,
-                    extra_browser_args=extra_args,
-                    wss_url=wss_url,
-                    cdp_url=cdp_url,
-                    new_context_config=BrowserContextConfig(
-                        window_width=window_w,
-                        window_height=window_h,
-                    )
-                )
-            )
+# changed####******!!!!!!
+# async def run_agent_task(
+#         webui_manager: WebuiManager, components: Dict[gr.components.Component, Any]
+# ) -> AsyncGenerator[Dict[gr.components.Component, Any], None]:
+    
+#     # Initialize final_update at the start
+#     final_update = {}
+
+#     # --- Get Components ---
+#     # Need handles to specific UI components to update them
+#     user_input_comp = webui_manager.get_component_by_id("browser_use_agent.user_input")
+#     url_input_comp = webui_manager.get_component_by_id("browser_use_agent.url_input")
+#     run_button_comp = webui_manager.get_component_by_id("browser_use_agent.run_button")
+#     stop_button_comp = webui_manager.get_component_by_id("browser_use_agent.stop_button")
+#     #pause_resume_button_comp = webui_manager.get_component_by_id("browser_use_agent.pause_resume_button")      #Pause/resume functionality not implemented in agent state machine
+#     clear_button_comp = webui_manager.get_component_by_id("browser_use_agent.clear_button")
+#     #chatbot_comp = webui_manager.get_component_by_id("browser_use_agent.chatbot")
+#     history_file_comp = webui_manager.get_component_by_id("browser_use_agent.agent_history_file")
+#     gif_comp = webui_manager.get_component_by_id("browser_use_agent.recording_gif")
+#     #browser_view_comp = webui_manager.get_component_by_id("browser_use_agent.browser_view")                    #not used used anywhere
+
+#     # --- 1. Get Task and Initial UI Update ---
+#     task = components.get(user_input_comp, "").strip()
+#     url = components.get(url_input_comp, "").strip()
+
+#     #lets always make sure that if the task is not empty then it should have the url in it
+#     if task:
+#         task += f"  url:  {url}"
+
+#     else:
+#         gr.Warning("Please enter a task.")
+#         yield {run_button_comp: gr.update(interactive=True)}
+#         return
+
+#     # Set running state indirectly via _current_task
+#     webui_manager.bu_chat_history.append({"role": "user", "content": task})
+
+#     yield {
+#         user_input_comp: gr.Textbox(
+#             value="", interactive=False, placeholder="Agent is running..."
+#         ),
+#         run_button_comp: gr.Button(value="⏳ Running...", interactive=False),
+#         stop_button_comp: gr.Button(interactive=True),
+#         #pause_resume_button_comp: gr.Button(value="⏸️ Pause", interactive=True),                 #resume and pause button is not needed
+#         clear_button_comp: gr.Button(interactive=False),
+#         #chatbot_comp: gr.update(value=webui_manager.bu_chat_history),
+#         history_file_comp: gr.update(value=None),
+#         gif_comp: gr.update(value=None),
+#     }
+
+#     # --- 2. Get Settings ---
+#     def get_setting(key, default=None):
+#         comp = webui_manager.id_to_component.get(f"agent_settings.{key}")
+#         return components.get(comp, default) if comp else default
+
+#     # Main LLM Settings
+#     llm_provider_name = get_setting("llm_provider") or "openai"
+#     llm_model_name = get_setting("llm_model_name") or "gpt-4o"
+#     llm_temperature = 0.6 #get_setting("llm_temperature", 0.6)         #we are not giving option to user to select the temp
+#     #llm_base_url = get_setting("llm_base_url") or None                #no need for this here
+#     llm_api_key =None #get_setting("llm_api_key") or None
+#     #ollama_num_ctx = get_setting("ollama_num_ctx", 16000)              #ontext window setting is not used in current LLM initialization or agent workflow
+#     use_vision = True #get_setting("use_vision", True)
+#     max_actions = 5 # get_setting("max_actions_per_step", 5)
+#     #max_steps = get_setting("max_steps", 25)
+#     #tool_calling_method = get_setting("tool_calling_method", "auto")    # Not implemented in agent workflow
+#     #max_input_tokens = get_setting("max_input_tokens", 16000)
+#     # override_system_prompt = get_setting("override_system_prompt") or None
+#     # extend_system_prompt = get_setting("extend_system_prompt") or None
+
+#     #we would not be using the override_system_prompt and extend_system_prompt
+#     # as they are being passed to the AgentOrhcestrator, we need to srt a default value
+#     override_system_prompt = None
+#     extend_system_prompt = None
+
+#     # --- 3. Initialize LLM ---
+#     logger.info(f"Initializing LLM: Provider={llm_provider_name}, Model={llm_model_name}, Temp={llm_temperature}")
+#     main_llm = await _initialize_llm(
+#         llm_provider_name,
+#         llm_model_name,
+#         llm_temperature,
+#         #llm_base_url,
+#         llm_api_key,
+#         #ollama_num_ctx if llm_provider_name == "ollama" else None,
+#     )
+
+# #/////////////////
+# #planner functionality using a separate LLM is not required in the current setup.
+# #/////////////////
+
+#     # planner_llm_provider_name = None                        
+#     # planner_llm = None
+#     # planner_use_vision = False
+#     # if planner_llm_provider_name:
+#     #     planner_llm_model_name = None# get_setting("planner_llm_model_name")
+#     #     planner_llm_temperature = 0.6 #get_setting("planner_llm_temperature", 0.6)
+#     #     #planner_ollama_num_ctx = get_setting("planner_ollama_num_ctx", 16000)
+#     #     #planner_llm_base_url = get_setting("planner_llm_base_url") or None
+#     #     #planner_llm_api_key = get_setting("planner_llm_api_key") or None
+#     #     planner_use_vision = get_setting("planner_use_vision", False)
+
+
+
+#     #     planner_llm = await _initialize_llm(
+#     #         planner_llm_provider_name,
+#     #         planner_llm_model_name,
+#     #         planner_llm_temperature,
+#     #         #planner_llm_base_url,
+#     #         #planner_llm_api_key,
+#     #         #planner_ollama_num_ctx if planner_llm_provider_name == "ollama" else None,
+#     #     )
+
+#     # --- 4. Browser Settings ---
+#     def get_browser_setting(key, default=None):
+#         comp = webui_manager.id_to_component.get(f"browser_settings.{key}")
+#         return components.get(comp, default) if comp else default
+
+#     #browser_binary_path = get_browser_setting("browser_binary_path") or None               #not needed
+#     #browser_user_data_dir = get_browser_setting("browser_user_data_dir") or None          #not accessed any where
+#     use_own_browser = True # get_browser_setting("use_own_browser", True)                  #we are not giving this option to the user
+#     keep_browser_open = False #get_browser_setting("keep_browser_open", False)
+#     headless = False #get_browser_setting("headless", False)                                #setting the value False bydefault
+#     disable_security = False# get_browser_setting("disable_security", False)
+#     window_w = 1280 #int(get_browser_setting("window_w", 1280))                             #no need to get value from user hardcode it
+#     window_h = 1100#int(get_browser_setting("window_h", 1100))                              #no need to get value from user hardcode it
+#     #cdp_url = get_browser_setting("cdp_url") or None                                  # not required in current browser
+#     #wss_url = get_browser_setting("wss_url") or None                                   #not used in this deployment.
+#     save_recording_path = None #get_browser_setting("save_recording_path") or None         # Recording handled through context config
+#     save_trace_path = None #get_browser_setting("save_trace_path") or None                 # Tracing handled through context config
+#     save_agent_history_path = get_browser_setting("save_agent_history_path", "./tmp/agent_history")
+#     save_download_path = get_browser_setting("save_download_path", "./tmp/downloads")
+#     #should_close_browser_on_finish = not keep_browser_open                                #this logic is not used here 
+
+#     # Create necessary directories
+#     os.makedirs(save_agent_history_path, exist_ok=True)
+#     if save_recording_path:
+#         os.makedirs(save_recording_path, exist_ok=True)
+#     if save_trace_path:
+#         os.makedirs(save_trace_path, exist_ok=True)
+#     if save_download_path:
+#         os.makedirs(save_download_path, exist_ok=True)
+
+#     # --- 5. Initialize Browser and Context ---
+#     try:
+#         # Close existing resources if not keeping open
+#         if not keep_browser_open:
+#             if webui_manager.bu_browser_context:
+#                 logger.info("Closing previous browser context.")
+#                 await webui_manager.bu_browser_context.close()
+#                 webui_manager.bu_browser_context = None
+#             if webui_manager.bu_browser:
+#                 logger.info("Closing previous browser.")
+#                 await webui_manager.bu_browser.close()
+#                 webui_manager.bu_browser = None
+
+#         # Create Browser if needed
+#         if not webui_manager.bu_browser:
+#             logger.info("Launching new browser instance.")
+#             extra_args = []
+
+#             # if use_own_browser:
+#             #     browser_binary_path = os.getenv("BROWSER_PATH", None) or browser_binary_path
+#             #     if browser_binary_path == "":
+#             #         browser_binary_path = None
+#             #     browser_user_data = browser_user_data_dir or os.getenv("BROWSER_USER_DATA", None)
+#             #     if browser_user_data:
+#             #         extra_args += [f"--user-data-dir={browser_user_data}"]
+#             # else:
+#             #     browser_binary_path = None
+
+#             webui_manager.bu_browser = CustomBrowser(
+#                 config=BrowserConfig(
+#                     headless=headless,
+#                     disable_security=disable_security,
+#                     #browser_binary_path=browser_binary_path,               #no need , already removed from browser settings
+#                     extra_browser_args=extra_args,
+#                     # wss_url=wss_url,                                       #already removed from browser settings
+#                     # cdp_url=cdp_url,                                       #no need,already removed from get browser settings
+#                     new_context_config=BrowserContextConfig(
+#                         window_width=window_w,
+#                         window_height=window_h,
+#                     )
+#                 )
+#             )
             
-            # Initialize the browser and keep playwright instance alive
-            webui_manager.bu_playwright = await async_playwright().start()
-            webui_manager.bu_browser.playwright_browser = await webui_manager.bu_browser._setup_builtin_browser(webui_manager.bu_playwright)
-
-        # Create Context if needed
-        if not webui_manager.bu_browser_context:
-            logger.info("Creating new browser context.")
-            context_config = BrowserContextConfig(
-                trace_path=save_trace_path if save_trace_path else None,
-                save_recording_path=save_recording_path if save_recording_path else None,
-                save_downloads_path=save_download_path if save_download_path else None,
-                window_height=window_h,
-                window_width=window_w,
-            )
-            if not webui_manager.bu_browser:
-                raise ValueError("Browser not initialized, cannot create context.")
+#             # Initialize the browser and keep playwright instance alive
+#             webui_manager.bu_playwright = await async_playwright().start()
+#             webui_manager.bu_browser.playwright_browser = await webui_manager.bu_browser._setup_builtin_browser(webui_manager.bu_playwright)
+
+#         # Create Context if needed
+#         if not webui_manager.bu_browser_context:
+#             logger.info("Creating new browser context.")
+#             context_config = BrowserContextConfig(
+#                 trace_path=save_trace_path if save_trace_path else None,
+#                 save_recording_path=save_recording_path if save_recording_path else None,
+#                 save_downloads_path=save_download_path if save_download_path else None,
+#                 window_height=window_h,
+#                 window_width=window_w,
+#             )
+#             if not webui_manager.bu_browser:
+#                 raise ValueError("Browser not initialized, cannot create context.")
             
-            webui_manager.bu_browser_context = (
-                await webui_manager.bu_browser.new_context(config=context_config)
-            )
-
-            print("\n\n\n\n RECORD VIDEO.....................`: \n\n\n\n")
-            logger.info("Setting up browser context with video recording...")
-            await webui_manager.bu_browser_context.setup()
-            logger.info("Browser context setup complete with video recording enabled")
-
-        # Initialize controller if needed
-        if not webui_manager.bu_controller:
-            webui_manager.bu_controller = CustomController()
-
-        # --- 6. Initialize or Update Agent Orchestrator ---
-        webui_manager.bu_agent_task_id = str(uuid.uuid4())  # New ID for this task run
-        os.makedirs(
-            os.path.join(save_agent_history_path, webui_manager.bu_agent_task_id),
-            exist_ok=True,
-        )
-        history_file = os.path.join(
-            save_agent_history_path,
-            webui_manager.bu_agent_task_id,
-            f"{webui_manager.bu_agent_task_id}.json",
-        )
-        gif_path = os.path.join(
-            save_agent_history_path,
-            webui_manager.bu_agent_task_id,
-            f"{webui_manager.bu_agent_task_id}.gif",
-        )
-
-        # Pass the webui_manager to callbacks when wrapping them
-        async def step_callback_wrapper(
-                state: BrowserState, output: AgentOutput, step_num: int
-        ):
-            # print("\n\n\n\n\n STEP CALLBACK WRAPPER CALLED\n\n\n\n\n")
-            await _handle_new_step(webui_manager, state, output, step_num)
-
-        def done_callback_wrapper(history: AgentHistoryList):
-            _handle_done(webui_manager, history)
-
-        if not webui_manager.bu_agent:
-            logger.info(f"Initializing new agent orchestrator for task: {task}")
-            if not webui_manager.bu_browser or not webui_manager.bu_browser_context:
-                raise ValueError(
-                    "Browser or Context not initialized, cannot create agent."
-                )
-            webui_manager.bu_agent = AgentOrchestrator(
-                llm=main_llm,
-                browser_config={
-                    "headless": headless,
-                    "window_width": window_w,
-                    "window_height": window_h,
-                    "use_own_browser": use_own_browser,
-                    "browser_binary_path": browser_binary_path,
-                    "wss_url": wss_url,
-                    "cdp_url": cdp_url,
-                    "disable_security": disable_security,
-                    "url": url if url else None
-                },
-                use_vision=use_vision,
-                max_actions_per_step=max_actions,
-                generate_gif=gif_path,
-                user_query=task,
-                url=url if url else None,
-                register_new_step_callback = step_callback_wrapper,
-                done_callback_wrapper = done_callback_wrapper,
-                override_system_prompt = override_system_prompt,
-                extend_system_prompt = extend_system_prompt,
-                planner_llm = planner_llm,
-                use_vision_for_planner = planner_use_vision if planner_llm else False,
+#             webui_manager.bu_browser_context = (
+#                 await webui_manager.bu_browser.new_context(config=context_config)
+#             )
+
+#             print("\n\n\n\n RECORD VIDEO.....................`: \n\n\n\n")
+#             logger.info("Setting up browser context with video recording...")
+#             await webui_manager.bu_browser_context.setup()
+#             logger.info("Browser context setup complete with video recording enabled")
+
+#         # Initialize controller if needed
+#         if not webui_manager.bu_controller:
+#             webui_manager.bu_controller = CustomController()
+
+#         # --- 6. Initialize or Update Agent Orchestrator ---
+#         webui_manager.bu_agent_task_id = str(uuid.uuid4())  # New ID for this task run
+#         os.makedirs(
+#             os.path.join(save_agent_history_path, webui_manager.bu_agent_task_id),
+#             exist_ok=True,
+#         )
+#         history_file = os.path.join(
+#             save_agent_history_path,
+#             webui_manager.bu_agent_task_id,
+#             f"{webui_manager.bu_agent_task_id}.json",
+#         )
+#         gif_path = os.path.join(
+#             save_agent_history_path,
+#             webui_manager.bu_agent_task_id,
+#             f"{webui_manager.bu_agent_task_id}.gif",
+#         )
+
+#         # Pass the webui_manager to callbacks when wrapping them
+#         async def step_callback_wrapper(
+#                 state: BrowserState, output: AgentOutput, step_num: int
+#         ):
+#             # print("\n\n\n\n\n STEP CALLBACK WRAPPER CALLED\n\n\n\n\n")
+#             await _handle_new_step(webui_manager, state, output, step_num)
+
+#         def done_callback_wrapper(history: AgentHistoryList):
+#             _handle_done(webui_manager, history)
+
+#         if not webui_manager.bu_agent:
+#             logger.info(f"Initializing new agent orchestrator for task: {task}")
+#             if not webui_manager.bu_browser or not webui_manager.bu_browser_context:
+#                 raise ValueError(
+#                     "Browser or Context not initialized, cannot create agent."
+#                 )
+#             webui_manager.bu_agent = AgentOrchestrator(
+#                 llm=main_llm,
+#                 browser_config={
+#                     "headless": headless,
+#                     "window_width": window_w,
+#                     "window_height": window_h,
+#                     "use_own_browser": use_own_browser,
+#                     #"browser_binary_path": browser_binary_path,                    #is already removed from LLM initialzation... 
+#                     #"wss_url": wss_url,                                            #wss is already removed from LLM initialzation...
+#                     #"cdp_url": cdp_url,                                            #same for cdp
+#                     "disable_security": disable_security,
+#                     "url": url if url else None
+#                 },
+#                 use_vision=use_vision,
+#                 max_actions_per_step=max_actions,
+#                 generate_gif=gif_path,
+#                 user_query=task,
+#                 url=url if url else None,
+#                 register_new_step_callback = step_callback_wrapper,
+#                 done_callback_wrapper = done_callback_wrapper,
+#                 override_system_prompt = override_system_prompt,
+#                 extend_system_prompt = extend_system_prompt,
+#                 # planner_llm = None,                                                         #only using main LLm for every thing
+#                 # use_vision_for_planner = planner_use_vision if planner_llm else False,
                 
-            )
-
-        # --- 7. Run Agent Task and Stream Updates ---
-        agent_run_coro = webui_manager.bu_agent.run(
-            task=task,
-            browser=webui_manager.bu_browser,
-            browser_context=webui_manager.bu_browser_context,
-            controller=webui_manager.bu_controller
-        )
-        agent_task = asyncio.create_task(agent_run_coro)
-        webui_manager.bu_current_task = agent_task
-
-        # Wait for the agent to complete
-        try:
-            history = await agent_task
-            logger.info("Agent task finished.")
+#             )
+
+#         # --- 7. Run Agent Task and Stream Updates ---
+#         agent_run_coro = webui_manager.bu_agent.run(
+#             task=task,
+#             browser=webui_manager.bu_browser,
+#             browser_context=webui_manager.bu_browser_context,
+#             controller=webui_manager.bu_controller
+#         )
+#         agent_task = asyncio.create_task(agent_run_coro)
+#         webui_manager.bu_current_task = agent_task
+
+#         # Wait for the agent to complete
+#         try:
+#             history = await agent_task
+#             logger.info("Agent task finished.")
             
-            # Force close browser and save videos
-            if webui_manager.bu_browser_context:
-                logger.info("Task completed - Saving videos and closing browser...")
-                try:
-                    # Save videos first
-                    video_paths = await webui_manager.bu_browser_context.save_videos()
-                    if video_paths:
-                        for path in video_paths:
-                            logger.info(f"Video recording saved to: {path}")
-                    else:
-                        logger.warning("No video recordings found to save")
+#             # Force close browser and save videos
+#             if webui_manager.bu_browser_context:
+#                 logger.info("Task completed - Saving videos and closing browser...")
+#                 try:
+#                     # Save videos first
+#                     video_paths = await webui_manager.bu_browser_context.save_videos()
+#                     if video_paths:
+#                         for path in video_paths:
+#                             logger.info(f"Video recording saved to: {path}")
+#                     else:
+#                         logger.warning("No video recordings found to save")
                         
-                    # Force close everything
-                    logger.info("Closing browser context after task.")
-                    await webui_manager.bu_browser_context.close()
-                    webui_manager.bu_browser_context = None
+#                     # Force close everything
+#                     logger.info("Closing browser context after task.")
+#                     await webui_manager.bu_browser_context.close()
+#                     webui_manager.bu_browser_context = None
                     
-                    if webui_manager.bu_browser:
-                        logger.info("Closing browser after task.")
-                        await webui_manager.bu_browser.close()
-                        webui_manager.bu_browser = None
+#                     if webui_manager.bu_browser:
+#                         logger.info("Closing browser after task.")
+#                         await webui_manager.bu_browser.close()
+#                         webui_manager.bu_browser = None
                         
-                    if webui_manager.bu_playwright:
-                        logger.info("Closing playwright after task.")
-                        await webui_manager.bu_playwright.stop()
-                        webui_manager.bu_playwright = None
+#                     if webui_manager.bu_playwright:
+#                         logger.info("Closing playwright after task.")
+#                         await webui_manager.bu_playwright.stop()
+#                         webui_manager.bu_playwright = None
                         
-                except Exception as e:
-                    logger.error(f"Error during cleanup: {e}")
+#                 except Exception as e:
+#                     logger.error(f"Error during cleanup: {e}")
             
-            # Save history to file
-            with open(history_file, "w") as f:
-                json.dump(history.dict(), f, indent=2)
-            logger.info(f"Saved agent history to: {history_file}")
+#             # Save history to file
+#             with open(history_file, "w") as f:
+#                 json.dump(history.dict(), f, indent=2)
+#             logger.info(f"Saved agent history to: {history_file}")
             
-            # Initialize final_update at the start
-            final_update = {
-                chatbot_comp: gr.update(value=webui_manager.bu_chat_history),
-                run_button_comp: gr.update(interactive=True),
-                stop_button_comp: gr.update(interactive=False),
-                pause_resume_button_comp: gr.update(interactive=False),
-                history_file_comp: gr.update(value=history_file),
-            }
+#             # Initialize final_update at the start
+#             final_update = {
+#                 #chatbot_comp: gr.update(value=webui_manager.bu_chat_history),
+#                 run_button_comp: gr.update(interactive=True),
+#                 stop_button_comp: gr.update(interactive=False),
+#                 #pause_resume_button_comp: gr.update(interactive=False),                     #noneed for this button
+#                 history_file_comp: gr.update(value=history_file),
+#             }
             
-            if os.path.exists(gif_path):
-                final_update[gif_comp] = gr.update(value=gif_path, visible=True)
+#             if os.path.exists(gif_path):
+#                 final_update[gif_comp] = gr.update(value=gif_path, visible=True)
                 
-            yield final_update
+#             yield final_update
             
-        except Exception as e:
-            logger.error(f"Error during agent execution: {e}", exc_info=True)
-            error_message = (
-                f"**Agent Execution Error:**\n```\n{type(e).__name__}: {e}\n```"
-            )
-            if not any(
-                    error_message in msg.get("content", "")
-                    for msg in webui_manager.bu_chat_history
-                    if msg.get("role") == "assistant"
-            ):
-                webui_manager.bu_chat_history.append(
-                    {"role": "assistant", "content": error_message}
-                )
-            final_update[chatbot_comp] = gr.update(value=webui_manager.bu_chat_history)
-            yield final_update
-            gr.Error(f"Agent execution failed: {e}")
-
-        finally:
-            # Just clear the current task reference
-            webui_manager.bu_current_task = None
-
-    except Exception as e:
-        # Catch errors during setup (before agent run starts)
-        logger.error(f"Error setting up agent task: {e}", exc_info=True)
-        webui_manager.bu_current_task = None  # Ensure state is reset
+#         except Exception as e:
+#             logger.error(f"Error during agent execution: {e}", exc_info=True)
+#             error_message = (
+#                 f"**Agent Execution Error:**\n```\n{type(e).__name__}: {e}\n```"
+#             )
+#             if not any(
+#                     error_message in msg.get("content", "")
+#                     for msg in webui_manager.bu_chat_history
+#                     if msg.get("role") == "assistant"
+#             ):
+#                 webui_manager.bu_chat_history.append(
+#                     {"role": "assistant", "content": error_message}
+#                 )
+#             #final_update[chatbot_comp] = gr.update(value=webui_manager.bu_chat_history)
+#             yield final_update
+#             gr.Error(f"Agent execution failed: {e}")
+
+#         finally:
+#             # Just clear the current task reference
+#             webui_manager.bu_current_task = None
+
+#     except Exception as e:
+#         # Catch errors during setup (before agent run starts)
+#         logger.error(f"Error setting up agent task: {e}", exc_info=True)
+#         webui_manager.bu_current_task = None  # Ensure state is reset
         
-        # Update final_update with error state
-        final_update.update({
-            user_input_comp: gr.update(
-                interactive=True, placeholder="Error during setup. Enter task..."
-            ),
-            run_button_comp: gr.update(value="▶️ Submit Task", interactive=True),
-            stop_button_comp: gr.update(value="⏹️ Stop", interactive=False),
-            pause_resume_button_comp: gr.update(value="⏸️ Pause", interactive=False),
-            clear_button_comp: gr.update(interactive=True),
-            chatbot_comp: gr.update(
-                value=webui_manager.bu_chat_history
-                      + [{"role": "assistant", "content": f"**Setup Error:** {e}"}]
-            ),
-        })
-        yield final_update
+#         # Update final_update with error state
+#         final_update.update({
+#             user_input_comp: gr.update(
+#                 interactive=True, placeholder="Error during setup. Enter task..."
+#             ),
+#             run_button_comp: gr.update(value="▶️ Submit Task", interactive=True),
+#             stop_button_comp: gr.update(value="⏹️ Stop", interactive=False),
+#             #pause_resume_button_comp: gr.update(value="⏸️ Pause", interactive=False),            #no need right now for this button
+#             clear_button_comp: gr.update(interactive=True),
+#             # chatbot_comp: gr.update(
+#             #     value=webui_manager.bu_chat_history
+#             #           + [{"role": "assistant", "content": f"**Setup Error:** {e}"}]
+#             # ),
+#         })
+#         yield final_update
 
 
 # --- Button Click Handlers --- (Need access to webui_manager)
@@ -756,10 +982,14 @@ async def handle_stop(webui_manager: WebuiManager):
         return {
             webui_manager.get_component_by_id(
                 "browser_use_agent.stop_button"
-            ): gr.update(interactive=False, value="⏹️ Stopping..."),
-            webui_manager.get_component_by_id(
-                "browser_use_agent.pause_resume_button"
-            ): gr.update(interactive=False),
+            ): gr.update(interactive=False, value="⏹️ Stopping...")
+            
+            #Pause/resume functionality is currently disabled and not handled in the agent workflow.
+            
+            # ,webui_manager.get_component_by_id(
+            #     "browser_use_agent.pause_resume_button"
+            #): gr.update(interactive=False)
+            ,
             webui_manager.get_component_by_id(
                 "browser_use_agent.run_button"
             ): gr.update(interactive=False),
@@ -774,43 +1004,49 @@ async def handle_stop(webui_manager: WebuiManager):
             webui_manager.get_component_by_id(
                 "browser_use_agent.stop_button"
             ): gr.update(interactive=False),
-            webui_manager.get_component_by_id(
-                "browser_use_agent.pause_resume_button"
-            ): gr.update(interactive=False),
+            
+            #Pause/resume functionality is currently disabled and not handled in the agent workflow.
+
+            # webui_manager.get_component_by_id(
+            #     "browser_use_agent.pause_resume_button"
+            # ): gr.update(interactive=False),
             webui_manager.get_component_by_id(
                 "browser_use_agent.clear_button"
             ): gr.update(interactive=True),
         }
+    
 
-
-async def handle_pause_resume(webui_manager: WebuiManager):
-    """Handles clicks on the 'Pause/Resume' button."""
-    agent = webui_manager.bu_agent
-    task = webui_manager.bu_current_task
-
-    if agent and task and not task.done():
-        if agent.state.paused:
-            logger.info("Resume button clicked.")
-            agent.resume()
-            # UI update happens in main loop
-            return {
-                webui_manager.get_component_by_id(
-                    "browser_use_agent.pause_resume_button"
-                ): gr.update(value="⏸️ Pause", interactive=True)
-            }  # Optimistic update
-        else:
-            logger.info("Pause button clicked.")
-            agent.pause()
-            return {
-                webui_manager.get_component_by_id(
-                    "browser_use_agent.pause_resume_button"
-                ): gr.update(value="▶️ Resume", interactive=True)
-            }  # Optimistic update
-    else:
-        logger.warning(
-            "Pause/Resume clicked but agent is not running or doesn't support state."
-        )
-        return {}  # No change
+# Pause/resume functionality not implemented in agent state machine
+
+
+# async def handle_pause_resume(webui_manager: WebuiManager):
+#     """Handles clicks on the 'Pause/Resume' button."""
+#     agent = webui_manager.bu_agent
+#     task = webui_manager.bu_current_task
+
+#     if agent and task and not task.done():
+#         if agent.state.paused:
+#             logger.info("Resume button clicked.")
+#             agent.resume()
+#             # UI update happens in main loop
+#             return {
+#                 webui_manager.get_component_by_id(
+#                     "browser_use_agent.pause_resume_button"
+#                 ): gr.update(value="⏸️ Pause", interactive=True)
+#             }  # Optimistic update
+#         else:
+#             logger.info("Pause button clicked.")
+#             agent.pause()
+#             return {
+#                 webui_manager.get_component_by_id(
+#                     "browser_use_agent.pause_resume_button"
+#                 ): gr.update(value="▶️ Resume", interactive=True)
+#             }  # Optimistic update
+#     else:
+#         logger.warning(
+#             "Pause/Resume clicked but agent is not running or doesn't support state."
+#         )
+#         return {}  # No change
 
 
 async def handle_clear(webui_manager: WebuiManager):
@@ -868,11 +1104,14 @@ async def handle_clear(webui_manager: WebuiManager):
             value="▶️ Submit Task", interactive=True
         ),
         webui_manager.get_component_by_id("browser_use_agent.stop_button"): gr.update(
-            interactive=False
-        ),
-        webui_manager.get_component_by_id(
-            "browser_use_agent.pause_resume_button"
-        ): gr.update(value="⏸️ Pause", interactive=False),
+            interactive=False),
+
+        #Pause/resume functionality is currently disabled and not handled in the agent workflow.
+
+        # ,
+        # webui_manager.get_component_by_id(
+        #     "browser_use_agent.pause_resume_button"
+        # ): gr.update(value="⏸️ Pause", interactive=False),
         webui_manager.get_component_by_id("browser_use_agent.clear_button"): gr.update(
             interactive=True
         ),
@@ -917,9 +1156,12 @@ def create_browser_use_agent_tab(webui_manager: WebuiManager):
             stop_button = gr.Button(
                 "⏹️ Stop", interactive=False, variant="stop", scale=2
             )
-            pause_resume_button = gr.Button(
-                "⏸️ Pause", interactive=False, variant="secondary", scale=2, visible=True
-            )
+
+            #Pause/resume functionality is currently disabled and not handled in the agent workflow.
+
+            # pause_resume_button = gr.Button(
+            #     "⏸️ Pause", interactive=False, variant="secondary", scale=2, visible=True
+            # )
             clear_button = gr.Button(
                 "🗑️ Clear", interactive=True, variant="secondary", scale=2
             )
@@ -950,7 +1192,10 @@ def create_browser_use_agent_tab(webui_manager: WebuiManager):
             clear_button=clear_button,
             run_button=run_button,
             stop_button=stop_button,
-            pause_resume_button=pause_resume_button,
+
+            #Pause/resume functionality is currently disabled and not handled in the agent workflow.
+
+            # pause_resume_button=pause_resume_button,
             agent_history_file=agent_history_file,
             recording_gif=recording_gif,
             browser_view=browser_view,
@@ -977,10 +1222,12 @@ async def stop_wrapper() -> AsyncGenerator[Dict[Component, Any], None]:
         update_dict = await handle_stop(webui_manager)
         yield update_dict
 
-    async def pause_resume_wrapper() -> AsyncGenerator[Dict[Component, Any], None]:
-        """Wrapper for handle_pause_resume."""
-        update_dict = await handle_pause_resume(webui_manager)
-        yield update_dict
+    #Pause/resume functionality is currently disabled and not handled in the agent workflow.
+
+    # async def pause_resume_wrapper() -> AsyncGenerator[Dict[Component, Any], None]:
+    #     """Wrapper for handle_pause_resume."""
+    #     update_dict = await handle_pause_resume(webui_manager)
+    #     yield update_dict
 
     async def clear_wrapper() -> AsyncGenerator[Dict[Component, Any], None]:
         """Wrapper for handle_clear."""
@@ -995,7 +1242,13 @@ async def clear_wrapper() -> AsyncGenerator[Dict[Component, Any], None]:
         fn=submit_wrapper, inputs=all_managed_components, outputs=run_tab_outputs
     )
     stop_button.click(fn=stop_wrapper, inputs=None, outputs=run_tab_outputs)
-    pause_resume_button.click(
-        fn=pause_resume_wrapper, inputs=None, outputs=run_tab_outputs
-    )
+    
     clear_button.click(fn=clear_wrapper, inputs=None, outputs=run_tab_outputs)
+
+    #Pause/resume functionality is currently disabled and not handled in the agent workflow.
+
+    # pause_resume_button.click(
+    #     fn=pause_resume_wrapper, inputs=None, outputs=run_tab_outputs
+    # )
+
+
diff --git a/static/favicon.ico b/static/favicon.ico
new file mode 100644
index 00000000..e69de29b
diff --git a/static/index.html b/static/index.html
new file mode 100644
index 00000000..fab4dcdb
--- /dev/null
+++ b/static/index.html
@@ -0,0 +1,229 @@
+<link rel="icon" href="/static/favicon.ico" type="image/x-icon">
+<link rel="apple-touch-icon" href="/static/apple-touch-icon.png">
+<!DOCTYPE html>
+<html lang="en">
+<head>
+  <meta charset="UTF-8" />
+  <title>Next SQA AI</title>
+  <style>
+    body {
+      font-family: 'Segoe UI', sans-serif;
+      background-color: #f9f9f9;
+      padding: 40px;
+      color: #333;
+      max-width: 800px;
+      margin: auto;
+    }
+
+    h2 {
+      text-align: center;
+      color: #333;
+      margin-bottom: 30px;
+    }
+
+    .form-group {
+      margin-bottom: 20px;
+    }
+
+    label {
+      font-weight: 500;
+      display: block;
+      margin-bottom: 6px;
+    }
+
+    input[type="text"] {
+      width: 100%;
+      padding: 12px;
+      border: 1px solid #ccc;
+      border-radius: 6px;
+      font-size: 15px;
+      background-color: #fff;
+      box-shadow: inset 0 1px 2px rgba(0,0,0,0.05);
+    }
+
+    .buttons {
+      display: flex;
+      justify-content: center;
+      gap: 15px;
+      margin-top: 10px;
+    }
+
+    button {
+      background-color: #007bff;
+      color: white;
+      padding: 10px 18px;
+      font-size: 15px;
+      border: none;
+      border-radius: 5px;
+      cursor: pointer;
+      transition: background-color 0.2s ease;
+    }
+
+    button:hover {
+      background-color: #0056b3;
+    }
+
+    button:disabled {
+      background-color: #6c757d;
+      cursor: not-allowed;
+    }
+
+    #video-container {
+      margin-top: 40px;
+      text-align: center;
+    }
+
+    video {
+      width: 100%;
+      max-width: 100%;
+      border-radius: 10px;
+      border: 1px solid #ddd;
+      box-shadow: 0 2px 8px rgba(0,0,0,0.1);
+    }
+
+    #error-message {
+      color: red;
+      text-align: center;
+      margin-top: 15px;
+    }
+  </style>
+</head>
+<meta http-equiv="Cache-Control" content="no-store" />
+
+<body>
+  <h2>🧪 Website Testing Agent</h2>
+
+  <div class="form-group">
+    <label for="query">Prompt:</label>
+    <input type="text" id="query" placeholder="e.g. Test the login button" />
+  </div>
+
+  <div class="form-group">
+    <label for="url">Website URL:</label>
+    <input type="text" id="url" placeholder="e.g. https://example.com" />
+  </div>
+
+  <div class="buttons">
+    <button onclick="submitTest()">Submit</button>
+    <button onclick="clearForm()">Clear</button>
+    <button onclick="stopTest()">Stop</button>
+  </div>
+
+  <div id="error-message"></div>
+
+  <div id="video-container">
+    <h3>Test Video:</h3>
+    <div style="margin-top: 15px; background: #f0f0f0; border: 1px solid #ccc; border-radius: 10px; padding: 10px; display: flex; justify-content: center; align-items: center; min-height: 300px;">
+      <video id="test-video" controls hidden style="width: 100%; max-width: 700px; height: 280px; border-radius: 10px;">
+        <source id="video-source" src="" type="video/webm" />
+        Your browser does not support the video tag.
+      </video>
+    </div>
+  </div>
+
+  <script>
+    async function submitTest() {
+      const queryInput = document.getElementById("query");
+      const urlInput = document.getElementById("url");
+      const errorDiv = document.getElementById("error-message");
+      const submitBtn = document.querySelector(".buttons button"); // Submit button
+      const video = document.getElementById("test-video");
+      const source = document.getElementById("video-source");
+
+      const query = queryInput.value.trim();
+      const url = urlInput.value.trim();
+
+      errorDiv.textContent = "";
+
+      if (!query || !url) {
+        errorDiv.textContent = "Both fields are required.";
+        return;
+      }
+
+      // 🔒 Disable input fields and button
+      queryInput.disabled = true;
+      urlInput.disabled = true;
+      submitBtn.disabled = true;
+      submitBtn.textContent = "Running...";
+      submitBtn.style.backgroundColor = "#6c757d";
+
+      // Reset video and message
+      source.src = "";
+      video.load();
+      video.hidden = true;
+      document.querySelector("#video-container h3").textContent = "Test Video:";
+
+      try {
+        const response = await fetch("/run-agent", {
+          method: "POST",
+          headers: { "Content-Type": "application/json" },
+          body: JSON.stringify({ query, url }),
+        });
+
+        const result = await response.json();
+        console.log("Agent result:", result);
+
+        if (response.ok) {
+          if (result.videos && result.videos.length > 0) {
+            const videoFilename = result.videos[0];
+            const videoPath = `/videos/${videoFilename}?t=${Date.now()}&r=${Math.random()}`;
+
+            console.log("Loading video:", videoPath);
+            
+            source.src = videoPath;
+            video.load();
+            video.hidden = false;
+
+            video.hidden = false;
+            document.querySelector("#video-container h3").textContent = "Test Video:";
+          } else {
+            errorDiv.textContent = "No video was recorded for this task.";
+            document.querySelector("#video-container h3").textContent = "No test performed.";
+          }
+        } else {
+          errorDiv.textContent = "Error: " + (result.detail || "Unknown error");
+        }
+      } catch (err) {
+        errorDiv.textContent = "Something went wrong. Please try again.";
+        console.error("Fetch error:", err);
+      }
+
+      // ✅ Restore button but keep inputs disabled
+      submitBtn.disabled = false;
+      submitBtn.textContent = "Submit";
+      submitBtn.style.backgroundColor = "#007bff";
+    }
+
+    function clearForm() {
+      const queryInput = document.getElementById("query");
+      const urlInput = document.getElementById("url");
+      const video = document.getElementById("test-video");
+      const source = document.getElementById("video-source");
+
+      queryInput.value = "";
+      urlInput.value = "";
+      queryInput.disabled = false;
+      urlInput.disabled = false;
+
+      video.hidden = true;
+      source.src = "";
+      video.load();
+
+      document.getElementById("error-message").textContent = "";
+      document.querySelector("#video-container h3").textContent = "Test Video:";
+    }
+
+    function stopTest() {
+      fetch("/stop-agent", { method: "POST" })
+        .then(res => res.json())
+        .then(data => {
+          alert(data.status || "Stopped.");
+        })
+        .catch(err => {
+          console.error("Failed to stop:", err);
+          alert("Failed to stop the agent.");
+        });
+    }
+  </script>
+</body>
+</html>

From 880498397dc2fa1976ab51e802b54a316f05af0c Mon Sep 17 00:00:00 2001
From: itsareebalatif <itsareebalatif@gmail.com>
Date: Wed, 9 Jul 2025 15:27:14 +0500
Subject: [PATCH 20/38] updates by Areeba in browser-use-web-ui

---
 .gitignore | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/.gitignore b/.gitignore
index a7a55cd1..639253fa 100644
--- a/.gitignore
+++ b/.gitignore
@@ -189,4 +189,5 @@ data/
 .config.pkl
 *.pdf
 
-workflow
\ No newline at end of file
+workflow.env
+.venv/

From 21d234492d50192425497f2cf8c8f53de4d02070 Mon Sep 17 00:00:00 2001
From: itsareebalatif <itsareebalatif@gmail.com>
Date: Wed, 9 Jul 2025 17:54:08 +0500
Subject: [PATCH 21/38] Changes to push everyting within the submodule

---
 screenshot.png                            | Bin 0 -> 193977 bytes
 src/outputdata/step_2/agent_response.json |   1 +
 src/outputdata/step_2/screenshot.png      | Bin 0 -> 4331 bytes
 src/outputdata/step_3/agent_response.json |   1 +
 src/outputdata/step_3/screenshot.png      | Bin 0 -> 115952 bytes
 src/outputdata/step_4/agent_response.json |   1 +
 src/outputdata/step_4/screenshot.png      | Bin 0 -> 328847 bytes
 src/outputdata/step_5/agent_response.json |   1 +
 src/outputdata/step_5/screenshot.png      | Bin 0 -> 315891 bytes
 src/outputdata/step_6/agent_response.json |   1 +
 src/outputdata/step_6/screenshot.png      | Bin 0 -> 293644 bytes
 src/outputdata/step_7/agent_response.json |   1 +
 src/outputdata/step_7/screenshot.png      | Bin 0 -> 206407 bytes
 src/outputdata/step_8/agent_response.json |   1 +
 src/outputdata/step_8/screenshot.png      | Bin 0 -> 145546 bytes
 15 files changed, 7 insertions(+)
 create mode 100644 screenshot.png
 create mode 100644 src/outputdata/step_2/agent_response.json
 create mode 100644 src/outputdata/step_2/screenshot.png
 create mode 100644 src/outputdata/step_3/agent_response.json
 create mode 100644 src/outputdata/step_3/screenshot.png
 create mode 100644 src/outputdata/step_4/agent_response.json
 create mode 100644 src/outputdata/step_4/screenshot.png
 create mode 100644 src/outputdata/step_5/agent_response.json
 create mode 100644 src/outputdata/step_5/screenshot.png
 create mode 100644 src/outputdata/step_6/agent_response.json
 create mode 100644 src/outputdata/step_6/screenshot.png
 create mode 100644 src/outputdata/step_7/agent_response.json
 create mode 100644 src/outputdata/step_7/screenshot.png
 create mode 100644 src/outputdata/step_8/agent_response.json
 create mode 100644 src/outputdata/step_8/screenshot.png

diff --git a/screenshot.png b/screenshot.png
new file mode 100644
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diff --git a/src/outputdata/step_2/agent_response.json b/src/outputdata/step_2/agent_response.json
new file mode 100644
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+++ b/src/outputdata/step_2/agent_response.json
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diff --git a/src/outputdata/step_2/screenshot.png b/src/outputdata/step_2/screenshot.png
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diff --git a/src/outputdata/step_3/agent_response.json b/src/outputdata/step_3/agent_response.json
new file mode 100644
index 00000000..07615537
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diff --git a/src/outputdata/step_4/agent_response.json b/src/outputdata/step_4/agent_response.json
new file mode 100644
index 00000000..4db53991
--- /dev/null
+++ b/src/outputdata/step_4/agent_response.json
@@ -0,0 +1 @@
+{"evaluation_previous_goal": "Success - The English button redirected correctly to the English version of Wikipedia.", "memory": "The English button on Wikipedia homepage was clicked, and it redirected to the English version of Wikipedia successfully. Verified that the URL changed appropriately to https://en.wikipedia.org/wiki/Main_Page. Step 2 of 5 completed.", "next_goal": "Ensure that all elements on the redirected page function correctly, starting with testing the search bar."}
\ No newline at end of file
diff --git a/src/outputdata/step_4/screenshot.png b/src/outputdata/step_4/screenshot.png
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diff --git a/src/outputdata/step_5/agent_response.json b/src/outputdata/step_5/agent_response.json
new file mode 100644
index 00000000..d730a198
--- /dev/null
+++ b/src/outputdata/step_5/agent_response.json
@@ -0,0 +1 @@
+{"evaluation_previous_goal": "Success - The search bar accepted input and displayed suggestions.", "memory": "The search bar on the English Wikipedia page was tested successfully with the input 'Artificial Intelligence'. Suggestions appeared correctly. Step 3 of 5 completed.", "next_goal": "Click on the search suggestion for 'Artificial intelligence' to verify link functionality."}
\ No newline at end of file
diff --git a/src/outputdata/step_5/screenshot.png b/src/outputdata/step_5/screenshot.png
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diff --git a/src/outputdata/step_6/agent_response.json b/src/outputdata/step_6/agent_response.json
new file mode 100644
index 00000000..ef98cd49
--- /dev/null
+++ b/src/outputdata/step_6/agent_response.json
@@ -0,0 +1 @@
+{"evaluation_previous_goal": "Success - The search bar and links on the redirected English Wikipedia page function correctly.", "memory": "Verified that the search bar and page links on the English Wikipedia page work as expected. The page loaded without errors and the URL was correct. Step 4 of 5 completed.", "next_goal": "Repeat the test on different browsers and devices to check for consistency."}
\ No newline at end of file
diff --git a/src/outputdata/step_6/screenshot.png b/src/outputdata/step_6/screenshot.png
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diff --git a/src/outputdata/step_7/agent_response.json b/src/outputdata/step_7/agent_response.json
new file mode 100644
index 00000000..1a8ae8dc
--- /dev/null
+++ b/src/outputdata/step_7/agent_response.json
@@ -0,0 +1 @@
+{"evaluation_previous_goal": "Success - The link from search results worked, and the 'Test Page' does not exist, as expected.", "memory": "Verified that interactive elements like links are functioning properly. Reached a 'Test Page' that doesn't exist, confirming search functionality. Current step 7 of 8.", "next_goal": "Check if other interactive elements such as links to sister projects are functioning as expected."}
\ No newline at end of file
diff --git a/src/outputdata/step_7/screenshot.png b/src/outputdata/step_7/screenshot.png
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diff --git a/src/outputdata/step_8/agent_response.json b/src/outputdata/step_8/agent_response.json
new file mode 100644
index 00000000..5b951d2b
--- /dev/null
+++ b/src/outputdata/step_8/agent_response.json
@@ -0,0 +1 @@
+{"evaluation_previous_goal": "Success - Link to Wiktionary worked and page loaded correctly.", "memory": "Verified that links to sister projects like Wiktionary are functioning properly. Current step 8 of 8.", "next_goal": "Report on the findings and complete the task."}
\ No newline at end of file
diff --git a/src/outputdata/step_8/screenshot.png b/src/outputdata/step_8/screenshot.png
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From 65cb10fb8bcd6c9c17e9bcac151d21e51300fbbf Mon Sep 17 00:00:00 2001
From: itsareebalatif <itsareebalatif@gmail.com>
Date: Mon, 28 Jul 2025 13:46:54 +0500
Subject: [PATCH 22/38] Update intent classifier and QA checker and prompt
 Enahncer ouput , and make changes.txt file

---
 changes.txt                                   |   40 +
 screenshot.png                                |  Bin 193977 -> 840603 bytes
 src/agent/intent_classifier/output.py         |   59 +-
 src/agent/main_agent/agent.py                 |   64 +-
 src/agent/prompt_enahncer/output.py           |   30 +
 src/agent/qa_possibilty_checker/output.py     |   56 +-
 src/agent/qa_possibilty_checker/prompt.py     |   48 +-
 src/outputdata/agent_execution.json           | 1331 +----------------
 src/outputdata/step_2/agent_response.json     |    1 -
 src/outputdata/step_2/screenshot.png          |  Bin 4331 -> 0 bytes
 src/outputdata/step_3/agent_response.json     |    1 -
 src/outputdata/step_3/screenshot.png          |  Bin 115952 -> 0 bytes
 src/outputdata/step_4/agent_response.json     |    1 -
 src/outputdata/step_4/screenshot.png          |  Bin 328847 -> 0 bytes
 src/outputdata/step_5/agent_response.json     |    1 -
 src/outputdata/step_5/screenshot.png          |  Bin 315891 -> 0 bytes
 src/outputdata/step_6/agent_response.json     |    1 -
 src/outputdata/step_6/screenshot.png          |  Bin 293644 -> 0 bytes
 src/outputdata/step_7/agent_response.json     |    1 -
 src/outputdata/step_7/screenshot.png          |  Bin 206407 -> 0 bytes
 src/outputdata/step_8/agent_response.json     |    1 -
 src/outputdata/step_8/screenshot.png          |  Bin 145546 -> 0 bytes
 src/webui/components/browser_use_agent_tab.py |  320 ++--
 23 files changed, 397 insertions(+), 1558 deletions(-)
 create mode 100644 changes.txt
 delete mode 100644 src/outputdata/step_2/agent_response.json
 delete mode 100644 src/outputdata/step_2/screenshot.png
 delete mode 100644 src/outputdata/step_3/agent_response.json
 delete mode 100644 src/outputdata/step_3/screenshot.png
 delete mode 100644 src/outputdata/step_4/agent_response.json
 delete mode 100644 src/outputdata/step_4/screenshot.png
 delete mode 100644 src/outputdata/step_5/agent_response.json
 delete mode 100644 src/outputdata/step_5/screenshot.png
 delete mode 100644 src/outputdata/step_6/agent_response.json
 delete mode 100644 src/outputdata/step_6/screenshot.png
 delete mode 100644 src/outputdata/step_7/agent_response.json
 delete mode 100644 src/outputdata/step_7/screenshot.png
 delete mode 100644 src/outputdata/step_8/agent_response.json
 delete mode 100644 src/outputdata/step_8/screenshot.png

diff --git a/changes.txt b/changes.txt
new file mode 100644
index 00000000..e6a7b525
--- /dev/null
+++ b/changes.txt
@@ -0,0 +1,40 @@
+browser-use-agent-tab.py
+-------------------------
+- Removed all extra/unused variables.
+- Rewrote run_agent_task() without using gradio, webui_manager, or other UI dependencies.
+- Commented out all unused functions:
+    - pause_button
+    - resume_button
+    - _ask_assistant_callback
+    - handle_done
+    - handle_new_step
+    - _get_config_value
+    - _format_agent_output
+- Created a FastAPI endpoint to run main-agent-task.
+- Created a "static/" folder containing a simple UI for "Website Testing Agent".
+
+browser_recorder.py
+--------------------
+- Cleans the entire video directory before starting a new recording session.
+- Uses glob.glob() to recursively find .webm files after context closure.
+- Does not use page.on() or page.video.start(); relies on Playwright's built-in recording mechanism.
+- Stores just the filenames in a list: self.recorded_videos.
+
+agent/mainagent.py
+-------------------
+- Modified loop logic to ensure the agent runs correctly only when required.
+
+agent/qa_possibility_checker/
+------------------------------
+- Updated prompt.py with refined prompt structure.
+- Added custom_validate() function in output.py for validating the agent output.
+
+agent/intent_classifier/
+------------------------------
+- Added custom_validate() function in output.py for validating the agent output.
+
+agent/prompt_enhancer/
+------------------------------
+- Added custom_validate() function in output.py for validating the agent output.
+
+
diff --git a/screenshot.png b/screenshot.png
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diff --git a/src/agent/intent_classifier/output.py b/src/agent/intent_classifier/output.py
index 26f1004a..9248b9e1 100644
--- a/src/agent/intent_classifier/output.py
+++ b/src/agent/intent_classifier/output.py
@@ -1,7 +1,62 @@
-from typing import Optional
+from typing import Dict, Optional
 from pydantic import BaseModel
 
 class IntentClassifierOutput(BaseModel):
     agent_msg: str
     intent: bool
-    modified_prompt: Optional[str] = ""
\ No newline at end of file
+    modified_prompt: Optional[str] = ""
+
+    def custom_validate(self) -> Dict:
+        print("custom_validate is running in the intent classifier")
+
+        # Blocking keywords that indicate intent is not QA/testing-related
+        blocking_keywords = [
+           "color", "hover", "animation", "font", "design", "appearance"
+        ]
+
+        msg_lower = self.agent_msg.lower()
+        contains_blocking = any(kw in msg_lower for kw in blocking_keywords)
+
+        # 1. agent_msg should not be empty
+        if not self.agent_msg.strip():
+            return {
+                "is_valid": False,
+                "should_retry": True,
+                "error": "Missing agent_msg.",
+                "retry_prompt": "Please include a valid agent_msg explaining the intent classification."
+            }
+
+        # 2. intent == False should not have a modified_prompt
+        if not self.intent and self.modified_prompt.strip():
+            return {
+                "is_valid": False,
+                "should_retry": True,
+                "error": "Intent is false but modified_prompt is not empty.",
+                "retry_prompt": "If the query is not QA-related, remove the modified prompt."
+            }
+
+        # 3. intent == True but contains blocking (non-QA) keywords → contradiction
+        if self.intent and contains_blocking:
+            return {
+                "is_valid": False,
+                "should_retry": True,
+                "error": "Contradiction: Intent marked True but message implies user wants to perform functionality (not QA).",
+                "retry_prompt": "Intent should be False for functional or transactional queries. Please correct it."
+            }
+
+        # 4. intent == False but NO reason is given
+        if not self.intent and "not QA" not in msg_lower and not contains_blocking:
+            return {
+                "is_valid": False,
+                "should_retry": True,
+                "error": "Intent marked False, but explanation is unclear or missing.",
+                "retry_prompt": "Please explain clearly why the query is not QA-related."
+            }
+
+        # ✅ All is valid
+        return {
+            "is_valid": True,
+            "should_retry": False,
+            "error": None,
+            "retry_prompt": ""
+        }
diff --git a/src/agent/main_agent/agent.py b/src/agent/main_agent/agent.py
index 785d115c..2f5bc385 100644
--- a/src/agent/main_agent/agent.py
+++ b/src/agent/main_agent/agent.py
@@ -1,3 +1,4 @@
+
 from ...models.models import AIModel
 from typing import Optional, Any
 import json
@@ -52,51 +53,44 @@ def run_main_agent(
     agents_prompt: str,
     input_to_prompt: dict,
     model_name: Optional[str],
-    ) -> Any:
-
+) -> Any:
     llm_model = get_llm_model(model_name, output_pydantic_class)
-
     logger.info(f"Running agent '{agents_name}' with model: {model_name}")
     
-    chat_prompt = get_chatprompt_templates(agents_prompt, list(input_to_prompt.keys()))
-  
-    chain = chat_prompt | llm_model 
-
-    MAX_TRIES = 1
+    original_prompt = agents_prompt
+    current_prompt = original_prompt
+    max_attempts = 5
+    attempt = 0
     output = None
+    should_retry = True  # Ensure first attempt runs
     start_time = time.time()
-        
-    while MAX_TRIES <= 5:
+    
+    while attempt < max_attempts and should_retry:
+        attempt += 1
         try:
-            logger.info(f"Attempt {MAX_TRIES} for agent '{agents_name}'")
-           
+            logger.info(f"Attempt {attempt} for agent '{agents_name}'")
+
+            # Build and execute the chain
+            chat_prompt = get_chatprompt_templates(current_prompt, list(input_to_prompt.keys()))
+            chain = chat_prompt | llm_model
             output = chain.invoke(input_to_prompt)
-            
-            logger.info(f"Agent '{agents_name}' succeeded on attempt {MAX_TRIES}")
-            break
-        except Exception as e:
-            logger.error(f"Error in agent '{agents_name}' on attempt {MAX_TRIES}: {e}")
-            
-            #Appending error message to the prompt for the next try
-            error_context = f"{agents_prompt}\n\n[ERROR MESSAGE FOR AGENT CONTEXT]: {str(e)}"
-            chat_prompt = get_chatprompt_templates(error_context, list(input_to_prompt.keys()))
-            chain = chat_prompt | llm_model 
 
-            MAX_TRIES += 1
+            # Simplified validation handling
+            validation_result = output.custom_validate() 
+            should_retry = validation_result.get("should_retry")
+
+            if should_retry:
+                logger.info("Retrying...")
+                current_prompt = f"{original_prompt}\n\n[CONTEXT]: {validation_result.get('retry_prompt', '')}"
+
+        except Exception as e:
+            logger.error(f"Processing error: {str(e)}")
+            should_retry = True
+            current_prompt = f"{current_prompt}\n\n[ERROR]: {str(e)}"
 
+    # Final reporting
     end_time = time.time()
     time_taken = end_time - start_time
-    logger.info(f"Agent '{agents_name}' finished execution in {time_taken:.2f} seconds with {MAX_TRIES} tries.")
-    
-    # print("\n\n\n\n OUTPUT: ", output, "\n\n\n\n")
-    
-    #lets dump the data into json
-    write_data_to_file(
-        agents_name=agents_name,
-        number_of_tries=MAX_TRIES,
-        time_taken=time_taken,
-        user_input=input_to_prompt,
-        output=output.model_dump()
-    )
+    logger.info(f"Completed in {time_taken:.2f}s with {attempt} attempts")
     
     return output
\ No newline at end of file
diff --git a/src/agent/prompt_enahncer/output.py b/src/agent/prompt_enahncer/output.py
index e40291cb..c6f92838 100644
--- a/src/agent/prompt_enahncer/output.py
+++ b/src/agent/prompt_enahncer/output.py
@@ -1,5 +1,35 @@
+from typing import Dict
 from pydantic import BaseModel
 
 class PromptEnhancerOutput(BaseModel):
+
     agent_msg: str
     enhanced_prompt: str
+   
+    def custom_validate(self) -> Dict:
+        # Keywords that indicate non-functional QA (UI/Animation etc.)
+        blocking_keywords = [
+            "ui", "user interface", "animations", "visual", "layout", 
+            "transition", "hover effect", "color scheme", "font style",
+            "font size", "parallax", "css effect", "design", "theme",
+            "shadow", "responsive layout", "look and feel", "style", "alignment"
+        ]
+
+        prompt_lower = self.enhanced_prompt.lower()
+        contains_blocked = any(kw in prompt_lower for kw in blocking_keywords)
+
+        if contains_blocked:
+            return {
+                "is_valid": False,
+                "should_retry": True,
+                "error": "Enhanced prompt contains non-functional QA terms (e.g., UI/animation).",
+                "retry_prompt": "Remove references to UI, design, or animations. Focus only on functionality testing."
+            }
+
+        # ✅ Valid if no blocking keywords found
+        return {
+            "is_valid": True,
+            "should_retry": False,
+            "error": None,
+            "retry_prompt": ""
+        }
\ No newline at end of file
diff --git a/src/agent/qa_possibilty_checker/output.py b/src/agent/qa_possibilty_checker/output.py
index 7d55f4f4..b7c5572f 100644
--- a/src/agent/qa_possibilty_checker/output.py
+++ b/src/agent/qa_possibilty_checker/output.py
@@ -1,5 +1,59 @@
+from typing import Dict
 from pydantic import BaseModel
+import logging
+
+logger = logging.getLogger(__name__)
 
 class QAPossibilityCheckerOutput(BaseModel):
     agent_msg: str
-    qa_possibility: bool
\ No newline at end of file
+    qa_possibility: bool
+
+    def custom_validate(self) -> Dict:
+        """Custom validation for QA Possibility Checker"""
+        logger.info(" \nRunning custom_validate for QAPossibilityCheckerOutput \n")
+
+        # Phrases that indicate QA might not be possible or contradict QA possibility
+        blocking_keywords = [
+            "not clickable", "QA is not possible", 
+            "no indication", "no visual presence", "static image", "cannot interact",
+            "no display", "requires live webpage", "screenshot insufficient",
+            "without the image", "unclear whether", "no mention", "does not show"
+            
+        ]
+
+        msg_lower = self.agent_msg.lower()
+        contains_blocking_phrase = any(kw in msg_lower for kw in blocking_keywords)
+
+        # logger.debug(f"Agent message: {self.agent_msg}")
+        # logger.debug(f"QA possibility: {self.qa_possibility}")
+        # logger.debug(f"Detected blocking keyword: {contains_blocking_phrase}")
+
+        # Case 1: Should be possible but explanation contradicts that
+        if self.qa_possibility and contains_blocking_phrase:
+            logger.warning(" Contradiction: QA is marked possible but message includes blocking keywords.\n")
+            return {
+                "is_valid": False,
+                "should_retry": True,
+                "error": "Contradiction: QA possible but message says it's not",
+                "retry_prompt": "Please resolve the contradiction between your conclusion and explanation"
+            }
+
+        # Case 2: Not possible, but message lacks justification
+        if not self.qa_possibility and not contains_blocking_phrase:
+            logger.warning(" Insufficient justification: QA marked impossible but no blocking keywords found.\n")
+            return {
+                "is_valid": False,
+                "should_retry": False,
+                "error": "Insufficient justification: No blocking issues mentioned",
+                "retry_prompt": "Explain *why* QA is not possible by including keywords like 'not clickable', 'no visual indication', or 'requires live webpage'. Avoid vague answers."
+
+            }
+
+        # Case 3: All good
+        logger.info(" Validation passed: QA possibility and explanation are consistent.\n")
+        return {
+            "is_valid": True,
+            "should_retry": False,
+            "error": None,
+            "retry_prompt": ""
+        }
diff --git a/src/agent/qa_possibilty_checker/prompt.py b/src/agent/qa_possibilty_checker/prompt.py
index 27c7f833..194e93f9 100644
--- a/src/agent/qa_possibilty_checker/prompt.py
+++ b/src/agent/qa_possibilty_checker/prompt.py
@@ -1,28 +1,36 @@
 agents_prompt = """
-You are an amazing QA possibilty checker agent and your job is to classify if the QA test are possibile for a web page or not.
+You are an intelligent QA Possibility Checker Agent. Your task is to assess whether the described QA test (functionality, interaction, or visual check) is likely possible on a given web page, based on the user's prompt and a screenshot of the web page.
 
-You will be provided with a -
-1. user prompt which are going to be tests/qa/functionality to be tested.
-2. web page picture image file id.
+You are provided with:
 
-Analyse the user prompt and the webpage image screenshot and classify if the QA enterd by the user are possible on the webpage or not.
+1. A user prompt  describing the QA functionality to be tested.
+2. web page picture image file id.
 
-- ' User prompt (QA prompt) ': {user_prompt}
+Your Instructions:
+- Assume the web page is dynamic and interactive 
+- If the user asks to click or interact with something, assume it's clickable regardless of whether it's visibly a button, link, or image and (anything).
+- If the user prompt relates to features like forms, filters, navigation, product items, etc., and the screenshot gives any visual clue that such a feature could exist, assume it exists.
+- Do not reject QA functionality just because it requires interactivity like typing, hovering, or filtering — these are standard web features and should be assumed unless clearly impossible.
+- Only reject the prompt if the requested QA functionality is clearly unsupported by the visible content — e.g., the user asks to test a login form and no form fields or input areas are visible or hinted at.
+- Be confident and optimistic in reasoning. You're here to assess possibility, not to confirm every element.
+- The screenshot comes from a live, interactive webpage. Treat it as a representation of real functionality. Do not say “the screenshot is not clickable” — assume visible elements are interactive.
 
-   "type": "input_image"
-- ' image file id': ' {image_file_id} '
+Input:
+- 'User prompt (QA prompt)': {user_prompt}
+- 'Image file id': {image_file_id}
 
-- If the user asks to click on anything, you do not need check if that element is a url, button or even clickable, just assume that it is clickable and return true.
+Output:
+Return your answer in this exact JSON format:
 
-Output Structure:
-return the result as a JSON object in the following format ONLY:
+If the QA test seems possible:
 { 
-    "agent_msg": "QA is possible on the extracted Snippet"
-    "qa_possibilty": true 
-}
-or 
-{
-    "agent_msg": "QA is not possible on the extracted Snippet (give a proper reason)"
-    "qa_possibilty": false 
-}
-"""
\ No newline at end of file
+     "agent_msg": "QA is possible on the extracted Snippet"
+     "qa_possibilty": true 
+ }
+ or 
+ {
+     "agent_msg": "QA is not possible on the extracted Snippet (give a proper reason)"
+     "qa_possibilty": false 
+ }
+"""
+
diff --git a/src/outputdata/agent_execution.json b/src/outputdata/agent_execution.json
index f1192e42..c9c513b9 100644
--- a/src/outputdata/agent_execution.json
+++ b/src/outputdata/agent_execution.json
@@ -1,1332 +1,3 @@
 [
-  {
-    "Agent Name": "Intent Classifier Agent",
-    "Number of tries": 1,
-    "TimeTaken": 1.93739914894104,
-    "User_input": "HumanMessage: {'input': 'play this song'}",
-    "Output": "SystemMessage: agent_msg='The intent is not realted to QA' intent=False"
-  },
-  {
-    "Agent Name": "Intent Classifier Agent",
-    "Number of tries": 1,
-    "TimeTaken": 1.2464182376861572,
-    "User_input": "HumanMessage: {'input': 'please test this button'}",
-    "Output": "SystemMessage: agent_msg='The intent is realted to QA' intent=True"
-  },
-  {
-    "timestamp": "2025-07-08 14:30:37",
-    "agents_name": "Intent Classifier Agent",
-    "number_of_tries": 1,
-    "time_taken": 2.8282129764556885,
-    "user_input": {
-      "input": "Test the website by clicking the \u201cEnglish\u201d button  url: https://www.wikipedia.org"
-    },
-    "output": {
-      "agent_msg": "The intent is realted to QA",
-      "intent": true,
-      "modified_prompt": ""
-    }
-  },
-  {
-    "timestamp": "2025-07-08 14:30:37",
-    "agents_name": "Webpage Checker",
-    "number_of_tries": 1,
-    "time_taken": 1,
-    "user_input": "https://www.wikipedia.org",
-    "output": "200 - OK"
-  },
-  {
-    "timestamp": "2025-07-08 14:30:50",
-    "agents_name": "QA POSSIBILTY CHECKER",
-    "number_of_tries": 1,
-    "time_taken": 1.2113559246063232,
-    "user_input": {
-      "input": "Test the website by clicking the \u201cEnglish\u201d button  url: https://www.wikipedia.org",
-      "image_file_id": "file-TvSDBW5fjCm8mxwf6tHmTF"
-    },
-    "output": {
-      "agent_msg": "QA is possible on the extracted Snippet",
-      "qa_possibility": true
-    }
-  },
-  {
-    "timestamp": "2025-07-08 14:30:53",
-    "agents_name": "Prompt Enhancer Agent",
-    "number_of_tries": 1,
-    "time_taken": 3.3213138580322266,
-    "user_input": {
-      "input": "Test the website by clicking the \u201cEnglish\u201d button  url: https://www.wikipedia.org",
-      "image_file_id": "file-TvSDBW5fjCm8mxwf6tHmTF"
-    },
-    "output": {
-      "agent_msg": "The prompt has been enhanced",
-      "enhanced_prompt": "Navigate to https://www.wikipedia.org and locate the \"English\" button on the homepage. Click on the \"English\" button and verify that you are redirected to the English version of Wikipedia (https://en.wikipedia.org/) without any errors. Ensure that the page loads correctly and displays the expected content in English."
-    }
-  },
-  {
-    "timestamp": "2025-07-08 14:32:56",
-    "agents_name": "Intent Classifier Agent",
-    "number_of_tries": 1,
-    "time_taken": 2.358621835708618,
-    "user_input": {
-      "input": "Test the website by clicking the \u201cEnglish\u201d button  url: https://www.wikipedia.org"
-    },
-    "output": {
-      "agent_msg": "The intent is related to QA",
-      "intent": true,
-      "modified_prompt": "Test the website by clicking the \"English\" button URL: https://www.wikipedia.org"
-    }
-  },
-  {
-    "timestamp": "2025-07-08 14:32:56",
-    "agents_name": "Webpage Checker",
-    "number_of_tries": 1,
-    "time_taken": 1,
-    "user_input": "https://www.wikipedia.org",
-    "output": "200 - OK"
-  },
-  {
-    "timestamp": "2025-07-08 14:33:09",
-    "agents_name": "QA POSSIBILTY CHECKER",
-    "number_of_tries": 1,
-    "time_taken": 1.1508228778839111,
-    "user_input": {
-      "input": "Test the website by clicking the \"English\" button URL: https://www.wikipedia.org",
-      "image_file_id": "file-MQDbCnEHTimfYY9q9HLezW"
-    },
-    "output": {
-      "agent_msg": "QA is possible on the extracted Snippet",
-      "qa_possibility": true
-    }
-  },
-  {
-    "timestamp": "2025-07-08 14:33:13",
-    "agents_name": "Prompt Enhancer Agent",
-    "number_of_tries": 1,
-    "time_taken": 4.008945941925049,
-    "user_input": {
-      "input": "Test the website by clicking the \"English\" button URL: https://www.wikipedia.org",
-      "image_file_id": "file-MQDbCnEHTimfYY9q9HLezW"
-    },
-    "output": {
-      "agent_msg": "The prompt has been enhanced",
-      "enhanced_prompt": "Open the website at URL: https://www.wikipedia.org. Click the \"English\" button on the homepage. Verify that the website navigates to the English version of Wikipedia. Ensure that the page loads correctly by checking for the presence of relevant English content and menu options. Additionally, confirm that all links on the navigated page are clickable and lead to appropriate sections within the English Wikipedia site."
-    }
-  },
-  {
-    "timestamp": "2025-07-08 14:40:19",
-    "agents_name": "Intent Classifier Agent",
-    "number_of_tries": 1,
-    "time_taken": 2.100430965423584,
-    "user_input": {
-      "input": "Test the website by clicking the \u201cEnglish\u201d button  url: https://www.wikipedia.org"
-    },
-    "output": {
-      "agent_msg": "The intent is realted to QA",
-      "intent": true,
-      "modified_prompt": "Test if the button redirects or changes language accordingly"
-    }
-  },
-  {
-    "timestamp": "2025-07-08 14:40:20",
-    "agents_name": "Webpage Checker",
-    "number_of_tries": 1,
-    "time_taken": 1,
-    "user_input": "https://www.wikipedia.org",
-    "output": "200 - OK"
-  },
-  {
-    "timestamp": "2025-07-08 14:40:33",
-    "agents_name": "QA POSSIBILTY CHECKER",
-    "number_of_tries": 1,
-    "time_taken": 0.9662809371948242,
-    "user_input": {
-      "input": "Test if the button redirects or changes language accordingly",
-      "image_file_id": "file-Mcw82vs68mssvqhfWixeow"
-    },
-    "output": {
-      "agent_msg": "QA is possible on the extracted Snippet",
-      "qa_possibility": true
-    }
-  },
-  {
-    "timestamp": "2025-07-08 14:40:38",
-    "agents_name": "Prompt Enhancer Agent",
-    "number_of_tries": 1,
-    "time_taken": 5.07275915145874,
-    "user_input": {
-      "input": "Test if the button redirects or changes language accordingly",
-      "image_file_id": "file-Mcw82vs68mssvqhfWixeow"
-    },
-    "output": {
-      "agent_msg": "The prompt has been enhanced",
-      "enhanced_prompt": "Please conduct the following tests on the webpage: \n\n1. Identify the button(s) that are intended to redirect the user or change the language settings.\n2. Click on each button to verify if it indeed redirects to the correct page or interface and changes the language as expected.\n3. Ensure that after clicking, the target URL is correct.\n4. Validate that the page content changes to the selected language accurately, including proper translation of all text elements.\n5. Test this functionality for different languages/types of redirections available on the page.\n6. Document any discrepancies, unexpected behaviors, or defects found during testing.\n\nEnsure to perform these tests on the correct web page for valid results."
-    }
-  },
-  {
-    "timestamp": "2025-07-08 14:44:01",
-    "agents_name": "Intent Classifier Agent",
-    "number_of_tries": 1,
-    "time_taken": 1.9617981910705566,
-    "user_input": {
-      "input": "Test the website by clicking the \u201cEnglish\u201d button  url: https://www.wikipedia.org"
-    },
-    "output": {
-      "agent_msg": "The intent is realted to QA",
-      "intent": true,
-      "modified_prompt": "Test the website by clicking the \"English\" button on the provided URL."
-    }
-  },
-  {
-    "timestamp": "2025-07-08 14:44:01",
-    "agents_name": "Webpage Checker",
-    "number_of_tries": 1,
-    "time_taken": 1,
-    "user_input": "https://www.wikipedia.org",
-    "output": "200 - OK"
-  },
-  {
-    "timestamp": "2025-07-08 14:44:15",
-    "agents_name": "QA POSSIBILTY CHECKER",
-    "number_of_tries": 1,
-    "time_taken": 1.3885481357574463,
-    "user_input": {
-      "input": "Test the website by clicking the \"English\" button on the provided URL.",
-      "image_file_id": "file-EzJVsi85Wu43uaMrjVESbW"
-    },
-    "output": {
-      "agent_msg": "QA is possible on the extracted Snippet",
-      "qa_possibility": true
-    }
-  },
-  {
-    "timestamp": "2025-07-08 14:44:18",
-    "agents_name": "Prompt Enhancer Agent",
-    "number_of_tries": 1,
-    "time_taken": 3.4249157905578613,
-    "user_input": {
-      "input": "Test the website by clicking the \"English\" button on the provided URL.",
-      "image_file_id": "file-EzJVsi85Wu43uaMrjVESbW"
-    },
-    "output": {
-      "agent_msg": "The prompt has been enhanced",
-      "enhanced_prompt": "Navigate to the provided URL and locate the \"English\" button. Click the \"English\" button and verify that the page content updates to display information in English. After clicking, ensure all sections, menus, and headings appear correctly and logically in English. Check for any broken links or images within the updated page content."
-    }
-  },
-  {
-    "timestamp": "2025-07-08 14:50:14",
-    "agents_name": "Intent Classifier Agent",
-    "number_of_tries": 1,
-    "time_taken": 1.5679521560668945,
-    "user_input": {
-      "input": "Test the website by clicking the \u201cEnglish\u201d button  url: https://www.wikipedia.org"
-    },
-    "output": {
-      "agent_msg": "The intent is related to QA",
-      "intent": true,
-      "modified_prompt": ""
-    }
-  },
-  {
-    "timestamp": "2025-07-08 14:50:14",
-    "agents_name": "Webpage Checker",
-    "number_of_tries": 1,
-    "time_taken": 1,
-    "user_input": "https://www.wikipedia.org",
-    "output": "200 - OK"
-  },
-  {
-    "timestamp": "2025-07-08 14:50:26",
-    "agents_name": "QA POSSIBILTY CHECKER",
-    "number_of_tries": 1,
-    "time_taken": 1.002917766571045,
-    "user_input": {
-      "input": "Test the website by clicking the \u201cEnglish\u201d button  url: https://www.wikipedia.org",
-      "image_file_id": "file-QV3QrUQnXG9pwZ5Vt55uhc"
-    },
-    "output": {
-      "agent_msg": "QA is possible on the extracted Snippet",
-      "qa_possibility": true
-    }
-  },
-  {
-    "timestamp": "2025-07-08 14:50:29",
-    "agents_name": "Prompt Enhancer Agent",
-    "number_of_tries": 1,
-    "time_taken": 3.0238590240478516,
-    "user_input": {
-      "input": "Test the website by clicking the \u201cEnglish\u201d button  url: https://www.wikipedia.org",
-      "image_file_id": "file-QV3QrUQnXG9pwZ5Vt55uhc"
-    },
-    "output": {
-      "agent_msg": "The prompt has been enhanced",
-      "enhanced_prompt": "Open the website https://www.wikipedia.org and locate the \u201cEnglish\u201d button. Click on the \u201cEnglish\u201d button and verify that it redirects to the English version of Wikipedia's homepage. Ensure the content is displayed in English and validate that there are no errors or issues with the page's functionality after the switch."
-    }
-  },
-  {
-    "timestamp": "2025-07-08 14:51:45",
-    "agents_name": "Intent Classifier Agent",
-    "number_of_tries": 1,
-    "time_taken": 2.375852108001709,
-    "user_input": {
-      "input": "Test the website by clicking the \u201cEnglish\u201d button  url: https://www.wikipedia.org"
-    },
-    "output": {
-      "agent_msg": "The intent is realted to QA",
-      "intent": true,
-      "modified_prompt": "Test the website by clicking the \u201cEnglish\u201d button  url: https://www.wikipedia.org"
-    }
-  },
-  {
-    "timestamp": "2025-07-08 14:51:46",
-    "agents_name": "Webpage Checker",
-    "number_of_tries": 1,
-    "time_taken": 1,
-    "user_input": "https://www.wikipedia.org",
-    "output": "200 - OK"
-  },
-  {
-    "timestamp": "2025-07-08 14:51:58",
-    "agents_name": "QA POSSIBILTY CHECKER",
-    "number_of_tries": 1,
-    "time_taken": 0.88323974609375,
-    "user_input": {
-      "input": "Test the website by clicking the \u201cEnglish\u201d button  url: https://www.wikipedia.org",
-      "image_file_id": "file-VqNpx52qpfNj8zoMPaDyfL"
-    },
-    "output": {
-      "agent_msg": "QA is possible on the extracted Snippet",
-      "qa_possibility": true
-    }
-  },
-  {
-    "timestamp": "2025-07-08 14:52:02",
-    "agents_name": "Prompt Enhancer Agent",
-    "number_of_tries": 1,
-    "time_taken": 3.5737040042877197,
-    "user_input": {
-      "input": "Test the website by clicking the \u201cEnglish\u201d button  url: https://www.wikipedia.org",
-      "image_file_id": "file-VqNpx52qpfNj8zoMPaDyfL"
-    },
-    "output": {
-      "agent_msg": "The prompt has been enhanced",
-      "enhanced_prompt": "Perform the following QA tasks on the webpage:\n1. Click the 'English' button to switch the language and ensure the page content updates to English accordingly.\n2. Verify that the URL remains as https://www.wikipedia.org post language change.\n3. Ensure all the text and navigation options are correctly translated to English after clicking the button.\n4. Check that the layout and functionality of the website remain intact after the language switch."
-    }
-  },
-  {
-    "timestamp": "2025-07-08 15:07:36",
-    "agents_name": "Intent Classifier Agent",
-    "number_of_tries": 1,
-    "time_taken": 2.1028358936309814,
-    "user_input": {
-      "input": "Test the website by clicking the \u201cEnglish\u201d button  url: https://www.wikipedia.org"
-    },
-    "output": {
-      "agent_msg": "The intent is related to QA",
-      "intent": true,
-      "modified_prompt": ""
-    }
-  },
-  {
-    "timestamp": "2025-07-08 15:07:37",
-    "agents_name": "Webpage Checker",
-    "number_of_tries": 1,
-    "time_taken": 1,
-    "user_input": "https://www.wikipedia.org",
-    "output": "200 - OK"
-  },
-  {
-    "timestamp": "2025-07-08 15:07:51",
-    "agents_name": "QA POSSIBILTY CHECKER",
-    "number_of_tries": 1,
-    "time_taken": 2.320963144302368,
-    "user_input": {
-      "input": "Test the website by clicking the \u201cEnglish\u201d button  url: https://www.wikipedia.org",
-      "image_file_id": "file-PwJJKn96CtMovwz1w3Vpr1"
-    },
-    "output": {
-      "agent_msg": "QA is possible on the extracted Snippet",
-      "qa_possibility": true
-    }
-  },
-  {
-    "timestamp": "2025-07-08 15:07:55",
-    "agents_name": "Prompt Enhancer Agent",
-    "number_of_tries": 1,
-    "time_taken": 4.04434609413147,
-    "user_input": {
-      "input": "Test the website by clicking the \u201cEnglish\u201d button  url: https://www.wikipedia.org",
-      "image_file_id": "file-PwJJKn96CtMovwz1w3Vpr1"
-    },
-    "output": {
-      "agent_msg": "The prompt has been enhanced",
-      "enhanced_prompt": "Navigate to the \"https://www.wikipedia.org\" URL and perform the following QA tests: 1) Locate and click on the \"English\" button. 2) Verify that the webpage content changes to display information in English. 3) Confirm that the redirected page URL correctly corresponds to the English Wikipedia site (typically https://en.wikipedia.org/). Ensure other functionalities are consistent post language switch."
-    }
-  },
-  {
-    "timestamp": "2025-07-08 15:11:42",
-    "agents_name": "Intent Classifier Agent",
-    "number_of_tries": 1,
-    "time_taken": 2.2072410583496094,
-    "user_input": {
-      "input": "Test the website by clicking the \u201cEnglish\u201d button  url: https://www.wikipedia.org"
-    },
-    "output": {
-      "agent_msg": "The intent is realted to QA",
-      "intent": true,
-      "modified_prompt": ""
-    }
-  },
-  {
-    "timestamp": "2025-07-08 15:11:42",
-    "agents_name": "Webpage Checker",
-    "number_of_tries": 1,
-    "time_taken": 1,
-    "user_input": "https://www.wikipedia.org",
-    "output": "200 - OK"
-  },
-  {
-    "timestamp": "2025-07-08 15:11:54",
-    "agents_name": "QA POSSIBILTY CHECKER",
-    "number_of_tries": 1,
-    "time_taken": 1.2881078720092773,
-    "user_input": {
-      "input": "Test the website by clicking the \u201cEnglish\u201d button  url: https://www.wikipedia.org",
-      "image_file_id": "file-8DHn9pshJuA2izLWBH1jVf"
-    },
-    "output": {
-      "agent_msg": "QA is possible on the extracted Snippet",
-      "qa_possibility": true
-    }
-  },
-  {
-    "timestamp": "2025-07-08 15:11:57",
-    "agents_name": "Prompt Enhancer Agent",
-    "number_of_tries": 1,
-    "time_taken": 2.7372610569000244,
-    "user_input": {
-      "input": "Test the website by clicking the \u201cEnglish\u201d button  url: https://www.wikipedia.org",
-      "image_file_id": "file-8DHn9pshJuA2izLWBH1jVf"
-    },
-    "output": {
-      "agent_msg": "The prompt has been enhanced",
-      "enhanced_prompt": "Visit the website at https://www.wikipedia.org. Locate and click the \u201cEnglish\u201d button on the page. Verify that clicking this button redirects you to the English version of Wikipedia (ensure the English main page is loaded correctly). After clicking, check critical elements like the page title, header, and footer to make sure they reflect the English Wikipedia page."
-    }
-  },
-  {
-    "timestamp": "2025-07-08 15:17:38",
-    "agents_name": "Intent Classifier Agent",
-    "number_of_tries": 1,
-    "time_taken": 3.0004160404205322,
-    "user_input": {
-      "input": "Test the website by clicking the \u201cEnglish\u201d button  url: https://www.wikipedia.org"
-    },
-    "output": {
-      "agent_msg": "The intent is realted to QA",
-      "intent": true,
-      "modified_prompt": ""
-    }
-  },
-  {
-    "timestamp": "2025-07-08 15:17:38",
-    "agents_name": "Webpage Checker",
-    "number_of_tries": 1,
-    "time_taken": 1,
-    "user_input": "https://www.wikipedia.org",
-    "output": "200 - OK"
-  },
-  {
-    "timestamp": "2025-07-08 15:18:06",
-    "agents_name": "QA POSSIBILTY CHECKER",
-    "number_of_tries": 1,
-    "time_taken": 11.67253303527832,
-    "user_input": {
-      "input": "Test the website by clicking the \u201cEnglish\u201d button  url: https://www.wikipedia.org",
-      "image_file_id": "file-VrpjQMiFbEe7MkSzRKPBQ1"
-    },
-    "output": {
-      "agent_msg": "QA is possible on the extracted Snippet",
-      "qa_possibility": true
-    }
-  },
-  {
-    "timestamp": "2025-07-08 15:18:12",
-    "agents_name": "Prompt Enhancer Agent",
-    "number_of_tries": 1,
-    "time_taken": 5.578455209732056,
-    "user_input": {
-      "input": "Test the website by clicking the \u201cEnglish\u201d button  url: https://www.wikipedia.org",
-      "image_file_id": "file-VrpjQMiFbEe7MkSzRKPBQ1"
-    },
-    "output": {
-      "agent_msg": "The prompt has been enhanced",
-      "enhanced_prompt": "Please navigate to the website at the URL: https://www.wikipedia.org. Test the functionality by clicking on the \u201cEnglish\u201d button. Verify that the page redirects correctly to the English Wikipedia homepage. Additionally, ensure all links are active and display content as intended. Test for any unexpected behavior or errors during this navigation process."
-    }
-  },
-  {
-    "timestamp": "2025-07-08 15:20:26",
-    "agents_name": "Intent Classifier Agent",
-    "number_of_tries": 1,
-    "time_taken": 5.134816884994507,
-    "user_input": {
-      "input": "Test the website by clicking the \u201cEnglish\u201d button  url: https://www.wikipedia.org"
-    },
-    "output": {
-      "agent_msg": "The intent is related to QA",
-      "intent": true,
-      "modified_prompt": ""
-    }
-  },
-  {
-    "timestamp": "2025-07-08 15:20:27",
-    "agents_name": "Webpage Checker",
-    "number_of_tries": 1,
-    "time_taken": 1,
-    "user_input": "https://www.wikipedia.org",
-    "output": "200 - OK"
-  },
-  {
-    "timestamp": "2025-07-08 15:21:09",
-    "agents_name": "QA POSSIBILTY CHECKER",
-    "number_of_tries": 1,
-    "time_taken": 7.552955150604248,
-    "user_input": {
-      "input": "Test the website by clicking the \u201cEnglish\u201d button  url: https://www.wikipedia.org",
-      "image_file_id": "file-WKX2Ef9zfa6EJLm9HqYb3e"
-    },
-    "output": {
-      "agent_msg": "QA is possible on the extracted Snippet",
-      "qa_possibility": true
-    }
-  },
-  {
-    "timestamp": "2025-07-08 15:21:16",
-    "agents_name": "Prompt Enhancer Agent",
-    "number_of_tries": 1,
-    "time_taken": 6.647454261779785,
-    "user_input": {
-      "input": "Test the website by clicking the \u201cEnglish\u201d button  url: https://www.wikipedia.org",
-      "image_file_id": "file-WKX2Ef9zfa6EJLm9HqYb3e"
-    },
-    "output": {
-      "agent_msg": "The prompt has been enhanced",
-      "enhanced_prompt": "1. Navigate to the URL: https://www.wikipedia.org\n2. Locate the \u201cEnglish\u201d button on the homepage.\n3. Click on the \u201cEnglish\u201d button.\n4. Verify that the page redirects to the English language version of Wikipedia.\n5. Check that the English main page has loaded correctly without any errors.\n6. Validate that the title of the new page includes \"Wikipedia, the free encyclopedia\".\n7. Optionally, refresh the page to confirm consistency in loading.\n8. Report any discrepancies or errors observed during this process."
-    }
-  },
-  {
-    "timestamp": "2025-07-08 15:25:03",
-    "agents_name": "Intent Classifier Agent",
-    "number_of_tries": 1,
-    "time_taken": 3.0008599758148193,
-    "user_input": {
-      "input": "Test the website by clicking the \u201cEnglish\u201d button  url: https://www.wikipedia.org"
-    },
-    "output": {
-      "agent_msg": "The intent is related to QA",
-      "intent": true,
-      "modified_prompt": ""
-    }
-  },
-  {
-    "timestamp": "2025-07-08 15:25:07",
-    "agents_name": "Webpage Checker",
-    "number_of_tries": 1,
-    "time_taken": 1,
-    "user_input": "https://www.wikipedia.org",
-    "output": "200 - OK"
-  },
-  {
-    "timestamp": "2025-07-08 15:25:32",
-    "agents_name": "QA POSSIBILTY CHECKER",
-    "number_of_tries": 1,
-    "time_taken": 2.485513925552368,
-    "user_input": {
-      "input": "Test the website by clicking the \u201cEnglish\u201d button  url: https://www.wikipedia.org",
-      "image_file_id": "file-VwsDyLNj1wxTc6rCjAYtik"
-    },
-    "output": {
-      "agent_msg": "QA is not possible on the extracted Snippet as the image content for file-VwsDyLNj1wxTc6rCjAYtik is unavailable, and the existence of an 'English' button cannot be confirmed.",
-      "qa_possibility": false
-    }
-  },
-  {
-    "timestamp": "2025-07-08 15:26:23",
-    "agents_name": "Intent Classifier Agent",
-    "number_of_tries": 1,
-    "time_taken": 1.742037057876587,
-    "user_input": {
-      "input": "Test the website by clicking the \u201cEnglish\u201d button  url: https://www.wikipedia.org"
-    },
-    "output": {
-      "agent_msg": "The intent is realted to QA",
-      "intent": true,
-      "modified_prompt": ""
-    }
-  },
-  {
-    "timestamp": "2025-07-08 15:26:24",
-    "agents_name": "Webpage Checker",
-    "number_of_tries": 1,
-    "time_taken": 1,
-    "user_input": "https://www.wikipedia.org",
-    "output": "200 - OK"
-  },
-  {
-    "timestamp": "2025-07-08 15:26:37",
-    "agents_name": "QA POSSIBILTY CHECKER",
-    "number_of_tries": 1,
-    "time_taken": 1.3144009113311768,
-    "user_input": {
-      "input": "Test the website by clicking the \u201cEnglish\u201d button  url: https://www.wikipedia.org",
-      "image_file_id": "file-AtfQkmK3KDJpLwk1tr2b8Y"
-    },
-    "output": {
-      "agent_msg": "QA is possible on the extracted Snippet",
-      "qa_possibility": true
-    }
-  },
-  {
-    "timestamp": "2025-07-08 15:26:41",
-    "agents_name": "Prompt Enhancer Agent",
-    "number_of_tries": 1,
-    "time_taken": 3.7366390228271484,
-    "user_input": {
-      "input": "Test the website by clicking the \u201cEnglish\u201d button  url: https://www.wikipedia.org",
-      "image_file_id": "file-AtfQkmK3KDJpLwk1tr2b8Y"
-    },
-    "output": {
-      "agent_msg": "The prompt has been enhanced",
-      "enhanced_prompt": "Visit the website 'https://www.wikipedia.org'. Locate and click the \"English\" button on the homepage. After clicking, verify that the page redirects to the English version of Wikipedia. Ensure that the content displayed is primarily in English. Conduct a quick navigation test on the redirected page to verify that links and other segments function as expected and maintain English language consistency. Document any discrepancies or errors encountered during this process."
-    }
-  },
-  {
-    "timestamp": "2025-07-08 15:29:52",
-    "agents_name": "Intent Classifier Agent",
-    "number_of_tries": 1,
-    "time_taken": 2.2597599029541016,
-    "user_input": {
-      "input": "Test the website by clicking the \u201cEnglish\u201d button  url: https://www.wikipedia.org"
-    },
-    "output": {
-      "agent_msg": "The intent is realted to QA",
-      "intent": true,
-      "modified_prompt": ""
-    }
-  },
-  {
-    "timestamp": "2025-07-08 15:29:54",
-    "agents_name": "Webpage Checker",
-    "number_of_tries": 1,
-    "time_taken": 1,
-    "user_input": "https://www.wikipedia.org",
-    "output": "200 - OK"
-  },
-  {
-    "timestamp": "2025-07-08 15:30:09",
-    "agents_name": "QA POSSIBILTY CHECKER",
-    "number_of_tries": 1,
-    "time_taken": 1.8038909435272217,
-    "user_input": {
-      "input": "Test the website by clicking the \u201cEnglish\u201d button  url: https://www.wikipedia.org",
-      "image_file_id": "file-CwbDHXXiv6iQem1jruk89w"
-    },
-    "output": {
-      "agent_msg": "QA is possible on the extracted Snippet",
-      "qa_possibility": true
-    }
-  },
-  {
-    "timestamp": "2025-07-08 15:30:13",
-    "agents_name": "Prompt Enhancer Agent",
-    "number_of_tries": 1,
-    "time_taken": 3.8560070991516113,
-    "user_input": {
-      "input": "Test the website by clicking the \u201cEnglish\u201d button  url: https://www.wikipedia.org",
-      "image_file_id": "file-CwbDHXXiv6iQem1jruk89w"
-    },
-    "output": {
-      "agent_msg": "The prompt has been enhanced",
-      "enhanced_prompt": "Perform a functionality test on the website by clicking the \u201cEnglish\u201d button to ensure that it redirects to the English version of Wikipedia. After the click, verify that the page content is displayed in English, and ensure the correct URL (https://en.wikipedia.org) is loaded. Additionally, check that other elements on the page function correctly post-redirect, such as search functionality and navigation links."
-    }
-  },
-  {
-    "timestamp": "2025-07-08 15:59:37",
-    "agents_name": "Intent Classifier Agent",
-    "number_of_tries": 1,
-    "time_taken": 1.7998909950256348,
-    "user_input": {
-      "input": "test the website English button  url: https://www.wikipedia.org"
-    },
-    "output": {
-      "agent_msg": "The intent is realted to QA",
-      "intent": true,
-      "modified_prompt": ""
-    }
-  },
-  {
-    "timestamp": "2025-07-08 15:59:37",
-    "agents_name": "Webpage Checker",
-    "number_of_tries": 1,
-    "time_taken": 1,
-    "user_input": "https://www.wikipedia.org",
-    "output": "200 - OK"
-  },
-  {
-    "timestamp": "2025-07-08 16:00:03",
-    "agents_name": "QA POSSIBILTY CHECKER",
-    "number_of_tries": 1,
-    "time_taken": 3.1632907390594482,
-    "user_input": {
-      "input": "test the website English button  url: https://www.wikipedia.org",
-      "image_file_id": "file-MnED68eMEMgk1du8XY6dFK"
-    },
-    "output": {
-      "agent_msg": "QA is not possible on the extracted Snippet because the actual image file or visual data of the webpage cannot be analyzed here to confirm the presence of an 'English button'.",
-      "qa_possibility": false
-    }
-  },
-  {
-    "timestamp": "2025-07-08 16:00:18",
-    "agents_name": "Intent Classifier Agent",
-    "number_of_tries": 1,
-    "time_taken": 2.3103508949279785,
-    "user_input": {
-      "input": "test the website English button  url: https://www.wikipedia.org"
-    },
-    "output": {
-      "agent_msg": "The intent is realted to QA",
-      "intent": true,
-      "modified_prompt": "test the English button on the website URL: https://www.wikipedia.org"
-    }
-  },
-  {
-    "timestamp": "2025-07-08 16:00:18",
-    "agents_name": "Webpage Checker",
-    "number_of_tries": 1,
-    "time_taken": 1,
-    "user_input": "https://www.wikipedia.org",
-    "output": "200 - OK"
-  },
-  {
-    "timestamp": "2025-07-08 16:00:35",
-    "agents_name": "QA POSSIBILTY CHECKER",
-    "number_of_tries": 1,
-    "time_taken": 3.3763458728790283,
-    "user_input": {
-      "input": "test the English button on the website URL: https://www.wikipedia.org",
-      "image_file_id": "file-77G8cfHuzohresfJ1aiDQN"
-    },
-    "output": {
-      "agent_msg": "QA is possible on the extracted Snippet.",
-      "qa_possibility": true
-    }
-  },
-  {
-    "timestamp": "2025-07-08 16:00:37",
-    "agents_name": "Prompt Enhancer Agent",
-    "number_of_tries": 1,
-    "time_taken": 1.8574180603027344,
-    "user_input": {
-      "input": "test the English button on the website URL: https://www.wikipedia.org",
-      "image_file_id": "file-77G8cfHuzohresfJ1aiDQN"
-    },
-    "output": {
-      "agent_msg": "The prompt has been enhanced",
-      "enhanced_prompt": "Please test the functionality of the 'English' button on the website by visiting the URL: https://www.wikipedia.org. Ensure that clicking the 'English' button directs you to the English version of Wikipedia. Verify that the page loads correctly, and all essential elements such as the search bar and main navigation links are present and functioning. Additionally, check if the language switch affects any other components or functionality of the site."
-    }
-  },
-  {
-    "timestamp": "2025-07-08 16:02:37",
-    "agents_name": "Intent Classifier Agent",
-    "number_of_tries": 1,
-    "time_taken": 1.8434629440307617,
-    "user_input": {
-      "input": "test the website English button  url: https://www.wikipedia.org"
-    },
-    "output": {
-      "agent_msg": "The intent is realted to QA",
-      "intent": true,
-      "modified_prompt": ""
-    }
-  },
-  {
-    "timestamp": "2025-07-08 16:02:38",
-    "agents_name": "Webpage Checker",
-    "number_of_tries": 1,
-    "time_taken": 1,
-    "user_input": "https://www.wikipedia.org",
-    "output": "200 - OK"
-  },
-  {
-    "timestamp": "2025-07-08 16:02:52",
-    "agents_name": "QA POSSIBILTY CHECKER",
-    "number_of_tries": 1,
-    "time_taken": 2.0803349018096924,
-    "user_input": {
-      "input": "test the website English button  url: https://www.wikipedia.org",
-      "image_file_id": "file-SLcf4Qogw1QvgMeNwxTiUv"
-    },
-    "output": {
-      "agent_msg": "QA is not possible on the extracted Snippet because an image of the webpage is required to determine if the English button exists and is functional.",
-      "qa_possibility": false
-    }
-  },
-  {
-    "timestamp": "2025-07-08 16:03:24",
-    "agents_name": "Intent Classifier Agent",
-    "number_of_tries": 1,
-    "time_taken": 1.6848981380462646,
-    "user_input": {
-      "input": "test the website English button  url: https://www.wikipedia.org"
-    },
-    "output": {
-      "agent_msg": "The intent is related to QA",
-      "intent": true,
-      "modified_prompt": "test the website English button"
-    }
-  },
-  {
-    "timestamp": "2025-07-08 16:03:24",
-    "agents_name": "Webpage Checker",
-    "number_of_tries": 1,
-    "time_taken": 1,
-    "user_input": "https://www.wikipedia.org",
-    "output": "200 - OK"
-  },
-  {
-    "timestamp": "2025-07-08 16:03:37",
-    "agents_name": "QA POSSIBILTY CHECKER",
-    "number_of_tries": 1,
-    "time_taken": 1.4592251777648926,
-    "user_input": {
-      "input": "test the website English button",
-      "image_file_id": "file-RAQmik3rfSch23ZftZWJNM"
-    },
-    "output": {
-      "agent_msg": "QA is possible on the extracted Snippet",
-      "qa_possibility": true
-    }
-  },
-  {
-    "timestamp": "2025-07-08 16:03:39",
-    "agents_name": "Prompt Enhancer Agent",
-    "number_of_tries": 1,
-    "time_taken": 2.3228490352630615,
-    "user_input": {
-      "input": "test the website English button",
-      "image_file_id": "file-RAQmik3rfSch23ZftZWJNM"
-    },
-    "output": {
-      "agent_msg": "The prompt has been enhanced",
-      "enhanced_prompt": "Go to the webpage and locate the 'English' button. Click on the 'English' button to ensure it changes the website language to English. Verify that all the text on the webpage is displayed in English after clicking the button. Check for any translation errors or text that did not change. Also, refresh the page and check if the language preference persists. URL of the webpage is required to perform this test."
-    }
-  },
-  {
-    "timestamp": "2025-07-08 16:28:50",
-    "agents_name": "Intent Classifier Agent",
-    "number_of_tries": 1,
-    "time_taken": 2.178079128265381,
-    "user_input": {
-      "input": "Test the website English button  url: https://www.wikipedia.org"
-    },
-    "output": {
-      "agent_msg": "The intent is realted to QA",
-      "intent": true,
-      "modified_prompt": ""
-    }
-  },
-  {
-    "timestamp": "2025-07-08 16:28:50",
-    "agents_name": "Webpage Checker",
-    "number_of_tries": 1,
-    "time_taken": 1,
-    "user_input": "https://www.wikipedia.org",
-    "output": "200 - OK"
-  },
-  {
-    "timestamp": "2025-07-08 16:29:02",
-    "agents_name": "QA POSSIBILTY CHECKER",
-    "number_of_tries": 1,
-    "time_taken": 1.0448369979858398,
-    "user_input": {
-      "input": "Test the website English button  url: https://www.wikipedia.org",
-      "image_file_id": "file-DkfXjJx3sjgoa63kxLyELZ"
-    },
-    "output": {
-      "agent_msg": "QA is possible on the extracted Snippet",
-      "qa_possibility": true
-    }
-  },
-  {
-    "timestamp": "2025-07-08 16:29:09",
-    "agents_name": "Prompt Enhancer Agent",
-    "number_of_tries": 1,
-    "time_taken": 6.918717861175537,
-    "user_input": {
-      "input": "Test the website English button  url: https://www.wikipedia.org",
-      "image_file_id": "file-DkfXjJx3sjgoa63kxLyELZ"
-    },
-    "output": {
-      "agent_msg": "The prompt has been enhanced",
-      "enhanced_prompt": "Navigate to https://www.wikipedia.org and test the functionality of the 'English' button by clicking it. Confirm that clicking the button correctly redirects the user to the English version of Wikipedia. Additionally, ensure the page loads without errors and displays the expected content in English."
-    }
-  },
-  {
-    "timestamp": "2025-07-08 16:34:00",
-    "agents_name": "Intent Classifier Agent",
-    "number_of_tries": 1,
-    "time_taken": 2.216684103012085,
-    "user_input": {
-      "input": "Test the website English button  url: https://www.wikipedia.org"
-    },
-    "output": {
-      "agent_msg": "The intent is realted to QA",
-      "intent": true,
-      "modified_prompt": "Test the website English button url: https://www.wikipedia.org"
-    }
-  },
-  {
-    "timestamp": "2025-07-08 16:34:00",
-    "agents_name": "Webpage Checker",
-    "number_of_tries": 1,
-    "time_taken": 1,
-    "user_input": "https://www.wikipedia.org",
-    "output": "200 - OK"
-  },
-  {
-    "timestamp": "2025-07-08 16:34:13",
-    "agents_name": "QA POSSIBILTY CHECKER",
-    "number_of_tries": 1,
-    "time_taken": 0.9458489418029785,
-    "user_input": {
-      "input": "Test the website English button url: https://www.wikipedia.org",
-      "image_file_id": "file-FNXWiXvZ3zXTNRnXBNJ62X"
-    },
-    "output": {
-      "agent_msg": "QA is possible on the extracted Snippet",
-      "qa_possibility": true
-    }
-  },
-  {
-    "timestamp": "2025-07-08 16:34:17",
-    "agents_name": "Prompt Enhancer Agent",
-    "number_of_tries": 1,
-    "time_taken": 4.4589409828186035,
-    "user_input": {
-      "input": "Test the website English button url: https://www.wikipedia.org",
-      "image_file_id": "file-FNXWiXvZ3zXTNRnXBNJ62X"
-    },
-    "output": {
-      "agent_msg": "The prompt has been enhanced",
-      "enhanced_prompt": "Visit the URL https://www.wikipedia.org. Locate and click on the English language button on the homepage. Verify that after clicking, the browser navigates to the English Wikipedia main page. Confirm that the page loads correctly without any errors and the content is displayed in English. Also, check any links, logo, and main content sections to ensure they are functional and accurate."
-    }
-  },
-  {
-    "timestamp": "2025-07-08 16:38:38",
-    "agents_name": "Intent Classifier Agent",
-    "number_of_tries": 1,
-    "time_taken": 2.1204099655151367,
-    "user_input": {
-      "input": "Test the website English button  url: https://www.wikipedia.org"
-    },
-    "output": {
-      "agent_msg": "The intent is realted to QA",
-      "intent": true,
-      "modified_prompt": ""
-    }
-  },
-  {
-    "timestamp": "2025-07-08 16:38:39",
-    "agents_name": "Webpage Checker",
-    "number_of_tries": 1,
-    "time_taken": 1,
-    "user_input": "https://www.wikipedia.org",
-    "output": "200 - OK"
-  },
-  {
-    "timestamp": "2025-07-08 16:38:52",
-    "agents_name": "QA POSSIBILTY CHECKER",
-    "number_of_tries": 1,
-    "time_taken": 1.7879559993743896,
-    "user_input": {
-      "input": "Test the website English button  url: https://www.wikipedia.org",
-      "image_file_id": "file-9VpuZqjQdRn1NKqGgTueE4"
-    },
-    "output": {
-      "agent_msg": "QA is not possible on the extracted Snippet (The image file does not contain any identifiable elements such as a language selection button or any text indicating an English button).",
-      "qa_possibility": false
-    }
-  },
-  {
-    "timestamp": "2025-07-08 16:41:22",
-    "agents_name": "Intent Classifier Agent",
-    "number_of_tries": 1,
-    "time_taken": 2.0164451599121094,
-    "user_input": {
-      "input": "Test the website English button  url: https://www.wikipedia.org"
-    },
-    "output": {
-      "agent_msg": "The intent is realted to QA",
-      "intent": true,
-      "modified_prompt": "Test the functionality of the website English button url: https://www.wikipedia.org"
-    }
-  },
-  {
-    "timestamp": "2025-07-08 16:41:23",
-    "agents_name": "Webpage Checker",
-    "number_of_tries": 1,
-    "time_taken": 1,
-    "user_input": "https://www.wikipedia.org",
-    "output": "200 - OK"
-  },
-  {
-    "timestamp": "2025-07-08 16:41:36",
-    "agents_name": "QA POSSIBILTY CHECKER",
-    "number_of_tries": 1,
-    "time_taken": 1.633838176727295,
-    "user_input": {
-      "input": "Test the functionality of the website English button url: https://www.wikipedia.org",
-      "image_file_id": "file-FjvqPkXtqvJskXprcoYuJr"
-    },
-    "output": {
-      "agent_msg": "QA is not possible on the extracted Snippet as the image file id provided does not match any recognized input or no valid image is provided for analysis",
-      "qa_possibility": false
-    }
-  },
-  {
-    "timestamp": "2025-07-08 16:43:51",
-    "agents_name": "Intent Classifier Agent",
-    "number_of_tries": 1,
-    "time_taken": 1.7832438945770264,
-    "user_input": {
-      "input": "Test the website English button  url: https://www.wikipedia.org"
-    },
-    "output": {
-      "agent_msg": "The intent is not related to QA",
-      "intent": false,
-      "modified_prompt": null
-    }
-  },
-  {
-    "timestamp": "2025-07-08 16:45:09",
-    "agents_name": "Intent Classifier Agent",
-    "number_of_tries": 1,
-    "time_taken": 2.1412360668182373,
-    "user_input": {
-      "input": "Test the website by clicking the English button  url: https://www.wikipedia.org"
-    },
-    "output": {
-      "agent_msg": "The intent is realted to QA",
-      "intent": true,
-      "modified_prompt": "Test the website by clicking the English button"
-    }
-  },
-  {
-    "timestamp": "2025-07-08 16:45:09",
-    "agents_name": "Webpage Checker",
-    "number_of_tries": 1,
-    "time_taken": 1,
-    "user_input": "https://www.wikipedia.org",
-    "output": "200 - OK"
-  },
-  {
-    "timestamp": "2025-07-08 16:45:21",
-    "agents_name": "QA POSSIBILTY CHECKER",
-    "number_of_tries": 1,
-    "time_taken": 1.2863690853118896,
-    "user_input": {
-      "input": "Test the website by clicking the English button",
-      "image_file_id": "file-GBT34joH3VMDwmQLr1ZP4m"
-    },
-    "output": {
-      "agent_msg": "QA is possible on the extracted Snippet",
-      "qa_possibility": true
-    }
-  },
-  {
-    "timestamp": "2025-07-08 16:45:25",
-    "agents_name": "Prompt Enhancer Agent",
-    "number_of_tries": 1,
-    "time_taken": 3.460813045501709,
-    "user_input": {
-      "input": "Test the website by clicking the English button",
-      "image_file_id": "file-GBT34joH3VMDwmQLr1ZP4m"
-    },
-    "output": {
-      "agent_msg": "The prompt has been enhanced",
-      "enhanced_prompt": "1. Navigate to the website at the given URL.\n2. Identify and click on the 'English' button to switch the website language.\n3. Verify that the website language changes to English after clicking the button.\n4. Check if all sections, menus, and relevant content appear correctly in English.\n5. Ensure there are no broken links or formatting issues after switching the language.\n6. If applicable, fill in any visible forms with sample data to ensure functionality is not affected by the language switch.\n7. Confirm that the user interface remains consistent and responsive after the language change."
-    }
-  },
-  {
-    "timestamp": "2025-07-08 16:52:17",
-    "agents_name": "Intent Classifier Agent",
-    "number_of_tries": 1,
-    "time_taken": 1.5275490283966064,
-    "user_input": {
-      "input": "Test the website by clicking the English button  url: https://www.wikipedia.org"
-    },
-    "output": {
-      "agent_msg": "The intent is realted to QA",
-      "intent": true,
-      "modified_prompt": "Test the website by clicking the English button"
-    }
-  },
-  {
-    "timestamp": "2025-07-08 16:52:18",
-    "agents_name": "Webpage Checker",
-    "number_of_tries": 1,
-    "time_taken": 1,
-    "user_input": "https://www.wikipedia.org",
-    "output": "200 - OK"
-  },
-  {
-    "timestamp": "2025-07-08 16:52:29",
-    "agents_name": "QA POSSIBILTY CHECKER",
-    "number_of_tries": 1,
-    "time_taken": 1.132195234298706,
-    "user_input": {
-      "input": "Test the website by clicking the English button",
-      "image_file_id": "file-8XJfVYLLEBqYmTuNa3v5VS"
-    },
-    "output": {
-      "agent_msg": "QA is possible on the extracted Snippet",
-      "qa_possibility": true
-    }
-  },
-  {
-    "timestamp": "2025-07-08 16:52:33",
-    "agents_name": "Prompt Enhancer Agent",
-    "number_of_tries": 1,
-    "time_taken": 3.8037970066070557,
-    "user_input": {
-      "input": "Test the website by clicking the English button",
-      "image_file_id": "file-8XJfVYLLEBqYmTuNa3v5VS"
-    },
-    "output": {
-      "agent_msg": "The prompt has been enhanced",
-      "enhanced_prompt": "1. Navigate to the website using the provided URL.\n2. Locate the 'English' button on the web page.\n3. Click the 'English' button and verify that the page content switches to English language.\n4. Check that all elements such as menus, headings, and body text are correctly translated to English.\n5. Ensure that no elements are missing or misaligned after the language change.\n6. Test the responsiveness of the site after changing the language by resizing the browser window.\n7. Confirm that any language-specific links or resources are properly adjusted to the selected language.\n8. Verify the 'English' button is functional across different browsers and devices for cross-browser compatibility."
-    }
-  },
-  {
-    "timestamp": "2025-07-08 17:00:54",
-    "agents_name": "Intent Classifier Agent",
-    "number_of_tries": 1,
-    "time_taken": 2.0841617584228516,
-    "user_input": {
-      "input": "Test the website by clicking the English button  url: https://www.wikipedia.org"
-    },
-    "output": {
-      "agent_msg": "The intent is realted to QA",
-      "intent": true,
-      "modified_prompt": ""
-    }
-  },
-  {
-    "timestamp": "2025-07-08 17:00:55",
-    "agents_name": "Webpage Checker",
-    "number_of_tries": 1,
-    "time_taken": 1,
-    "user_input": "https://www.wikipedia.org",
-    "output": "200 - OK"
-  },
-  {
-    "timestamp": "2025-07-08 17:01:14",
-    "agents_name": "QA POSSIBILTY CHECKER",
-    "number_of_tries": 1,
-    "time_taken": 1.7716867923736572,
-    "user_input": {
-      "input": "Test the website by clicking the English button  url: https://www.wikipedia.org",
-      "image_file_id": "file-1PmDStUgsoaEUMjUUHheHk"
-    },
-    "output": {
-      "agent_msg": "QA is possible on the extracted Snippet",
-      "qa_possibility": true
-    }
-  },
-  {
-    "timestamp": "2025-07-08 17:01:17",
-    "agents_name": "Prompt Enhancer Agent",
-    "number_of_tries": 1,
-    "time_taken": 3.477692127227783,
-    "user_input": {
-      "input": "Test the website by clicking the English button  url: https://www.wikipedia.org",
-      "image_file_id": "file-1PmDStUgsoaEUMjUUHheHk"
-    },
-    "output": {
-      "agent_msg": "The prompt has been enhanced",
-      "enhanced_prompt": "Visit the website at https://www.wikipedia.org. Click on the 'English' button. Verify that the page successfully navigates to the English version of Wikipedia. Ensure all main features, such as the search bar, main page content, and footer links, are properly displayed and functional. Check for any errors or broken links after navigation. Provide feedback on the overall loading time and responsiveness of the page."
-    }
-  },
-  {
-    "timestamp": "2025-07-08 17:03:42",
-    "agents_name": "Intent Classifier Agent",
-    "number_of_tries": 1,
-    "time_taken": 3.1937530040740967,
-    "user_input": {
-      "input": "Test the website by clicking the English button  url: https://www.wikipedia.org"
-    },
-    "output": {
-      "agent_msg": "The intent is related to QA",
-      "intent": true,
-      "modified_prompt": "Test the website by clicking the English button on the Wikipedia URL provided."
-    }
-  },
-  {
-    "timestamp": "2025-07-08 17:03:43",
-    "agents_name": "Webpage Checker",
-    "number_of_tries": 1,
-    "time_taken": 1,
-    "user_input": "https://www.wikipedia.org",
-    "output": "200 - OK"
-  },
-  {
-    "timestamp": "2025-07-08 17:04:02",
-    "agents_name": "QA POSSIBILTY CHECKER",
-    "number_of_tries": 1,
-    "time_taken": 1.6026661396026611,
-    "user_input": {
-      "input": "Test the website by clicking the English button on the Wikipedia URL provided.",
-      "image_file_id": "file-VhArgm26C75jgigGd2jMQR"
-    },
-    "output": {
-      "agent_msg": "QA is possible on the extracted Snippet",
-      "qa_possibility": true
-    }
-  },
-  {
-    "timestamp": "2025-07-08 17:04:04",
-    "agents_name": "Prompt Enhancer Agent",
-    "number_of_tries": 1,
-    "time_taken": 2.864670991897583,
-    "user_input": {
-      "input": "Test the website by clicking the English button on the Wikipedia URL provided.",
-      "image_file_id": "file-VhArgm26C75jgigGd2jMQR"
-    },
-    "output": {
-      "agent_msg": "The prompt has been enhanced",
-      "enhanced_prompt": "Go to the provided Wikipedia URL. Test the website by locating and clicking on the 'English' language button as available on the site's language selection page. After clicking, verify that the site redirects to the English version of Wikipedia successfully without any errors or broken links. Ensure to check the integrity and loading speed of the redirect page."
-    }
-  },
-  {
-    "timestamp": "2025-07-08 17:10:06",
-    "agents_name": "Intent Classifier Agent",
-    "number_of_tries": 1,
-    "time_taken": 5.484982013702393,
-    "user_input": {
-      "input": "Test the website by adding \u201cChah\u201d card into the cart  url: https://soz.com.pk/collections/cards-1"
-    },
-    "output": {
-      "agent_msg": "The intent is related to QA",
-      "intent": true,
-      "modified_prompt": ""
-    }
-  },
-  {
-    "timestamp": "2025-07-08 17:10:09",
-    "agents_name": "Webpage Checker",
-    "number_of_tries": 1,
-    "time_taken": 1,
-    "user_input": "https://soz.com.pk/collections/cards-1",
-    "output": "200 - OK"
-  },
-  {
-    "timestamp": "2025-07-08 17:10:44",
-    "agents_name": "QA POSSIBILTY CHECKER",
-    "number_of_tries": 1,
-    "time_taken": 2.9013891220092773,
-    "user_input": {
-      "input": "Test the website by adding \u201cChah\u201d card into the cart  url: https://soz.com.pk/collections/cards-1",
-      "image_file_id": "file-HV8th8fcGEFmRs72q84Vgb"
-    },
-    "output": {
-      "agent_msg": "QA is not possible on the extracted Snippet because without the image, it is impossible to determine if there is a 'Chah' card available on the webpage to add to the cart.",
-      "qa_possibility": false
-    }
-  },
-  {
-    "timestamp": "2025-07-08 17:11:54",
-    "agents_name": "Intent Classifier Agent",
-    "number_of_tries": 1,
-    "time_taken": 1.2882602214813232,
-    "user_input": {
-      "input": "Test the website by adding \"Chah - Pack of 2 Greeting Cards with Envelopes\u201d into the cart  url: https://soz.com.pk/collections/cards-1"
-    },
-    "output": {
-      "agent_msg": "The intent is related to QA",
-      "intent": true,
-      "modified_prompt": null
-    }
-  },
-  {
-    "timestamp": "2025-07-08 17:11:54",
-    "agents_name": "Webpage Checker",
-    "number_of_tries": 1,
-    "time_taken": 1,
-    "user_input": "https://soz.com.pk/collections/cards-1",
-    "output": "200 - OK"
-  },
-  {
-    "timestamp": "2025-07-08 17:12:21",
-    "agents_name": "QA POSSIBILTY CHECKER",
-    "number_of_tries": 1,
-    "time_taken": 1.9297709465026855,
-    "user_input": {
-      "input": "Test the website by adding \"Chah - Pack of 2 Greeting Cards with Envelopes\u201d into the cart  url: https://soz.com.pk/collections/cards-1",
-      "image_file_id": "file-JmP6MUQk8c41ixxmKJicDz"
-    },
-    "output": {
-      "agent_msg": "QA is not possible on the extracted Snippet because the image file does not provide the details of the specific item 'Chah - Pack of 2 Greeting Cards with Envelopes'.",
-      "qa_possibility": false
-    }
-  },
-  {
-    "timestamp": "2025-07-08 17:13:29",
-    "agents_name": "Intent Classifier Agent",
-    "number_of_tries": 1,
-    "time_taken": 1.9151320457458496,
-    "user_input": {
-      "input": "Test the website by adding \"Chah - Pack of 2 Greeting Cards with Envelopes\u201d into the cart  url: https://soz.com.pk/collections/cards-1"
-    },
-    "output": {
-      "agent_msg": "The intent is related to QA",
-      "intent": true,
-      "modified_prompt": ""
-    }
-  },
-  {
-    "timestamp": "2025-07-08 17:13:30",
-    "agents_name": "Webpage Checker",
-    "number_of_tries": 1,
-    "time_taken": 1,
-    "user_input": "https://soz.com.pk/collections/cards-1",
-    "output": "200 - OK"
-  },
-  {
-    "timestamp": "2025-07-08 17:13:55",
-    "agents_name": "QA POSSIBILTY CHECKER",
-    "number_of_tries": 1,
-    "time_taken": 1.3308610916137695,
-    "user_input": {
-      "input": "Test the website by adding \"Chah - Pack of 2 Greeting Cards with Envelopes\u201d into the cart  url: https://soz.com.pk/collections/cards-1",
-      "image_file_id": "file-1TXGrgHUsuHzDeF3gpsiJS"
-    },
-    "output": {
-      "agent_msg": "QA is possible on the extracted Snippet",
-      "qa_possibility": true
-    }
-  },
-  {
-    "timestamp": "2025-07-08 17:13:59",
-    "agents_name": "Prompt Enhancer Agent",
-    "number_of_tries": 1,
-    "time_taken": 3.272961139678955,
-    "user_input": {
-      "input": "Test the website by adding \"Chah - Pack of 2 Greeting Cards with Envelopes\u201d into the cart  url: https://soz.com.pk/collections/cards-1",
-      "image_file_id": "file-1TXGrgHUsuHzDeF3gpsiJS"
-    },
-    "output": {
-      "agent_msg": "The prompt has been enhanced",
-      "enhanced_prompt": "1. Navigate to https://soz.com.pk/collections/cards-1. \n2. Locate the product titled \"Chah - Pack of 2 Greeting Cards with Envelopes.\"\n3. Click on the product to view its details.\n4. Add the product to the shopping cart.\n5. Verify that the product is correctly added to the cart by checking the cart icon or section.\n6. Ensure that the correct product name and quantity are displayed in the cart summary.\n7. Proceed to checkout to ensure the item is ready for purchase.\n8. Make sure no errors occur during this process."
-    }
-  }
+  
 ]
\ No newline at end of file
diff --git a/src/outputdata/step_2/agent_response.json b/src/outputdata/step_2/agent_response.json
deleted file mode 100644
index fa1f337a..00000000
--- a/src/outputdata/step_2/agent_response.json
+++ /dev/null
@@ -1 +0,0 @@
-{"evaluation_previous_goal": "Unknown - No actions have been taken yet.", "memory": "Starting the task to test the functionality of the English button on Wikipedia homepage. Step 0 of 5 completed.", "next_goal": "Navigate to the Wikipedia homepage to start the testing process."}
\ No newline at end of file
diff --git a/src/outputdata/step_2/screenshot.png b/src/outputdata/step_2/screenshot.png
deleted file mode 100644
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GIT binary patch
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diff --git a/src/outputdata/step_3/agent_response.json b/src/outputdata/step_3/agent_response.json
deleted file mode 100644
index 07615537..00000000
--- a/src/outputdata/step_3/agent_response.json
+++ /dev/null
@@ -1 +0,0 @@
-{"evaluation_previous_goal": "Success - Navigated to Wikipedia homepage successfully.", "memory": "Navigated to Wikipedia homepage. Starting to test the English button functionality. Step 1 of 5 completed.", "next_goal": "Click on the English button to verify redirection to the English version of Wikipedia."}
\ No newline at end of file
diff --git a/src/outputdata/step_3/screenshot.png b/src/outputdata/step_3/screenshot.png
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diff --git a/src/outputdata/step_4/agent_response.json b/src/outputdata/step_4/agent_response.json
deleted file mode 100644
index 4db53991..00000000
--- a/src/outputdata/step_4/agent_response.json
+++ /dev/null
@@ -1 +0,0 @@
-{"evaluation_previous_goal": "Success - The English button redirected correctly to the English version of Wikipedia.", "memory": "The English button on Wikipedia homepage was clicked, and it redirected to the English version of Wikipedia successfully. Verified that the URL changed appropriately to https://en.wikipedia.org/wiki/Main_Page. Step 2 of 5 completed.", "next_goal": "Ensure that all elements on the redirected page function correctly, starting with testing the search bar."}
\ No newline at end of file
diff --git a/src/outputdata/step_4/screenshot.png b/src/outputdata/step_4/screenshot.png
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diff --git a/src/outputdata/step_5/agent_response.json b/src/outputdata/step_5/agent_response.json
deleted file mode 100644
index d730a198..00000000
--- a/src/outputdata/step_5/agent_response.json
+++ /dev/null
@@ -1 +0,0 @@
-{"evaluation_previous_goal": "Success - The search bar accepted input and displayed suggestions.", "memory": "The search bar on the English Wikipedia page was tested successfully with the input 'Artificial Intelligence'. Suggestions appeared correctly. Step 3 of 5 completed.", "next_goal": "Click on the search suggestion for 'Artificial intelligence' to verify link functionality."}
\ No newline at end of file
diff --git a/src/outputdata/step_5/screenshot.png b/src/outputdata/step_5/screenshot.png
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diff --git a/src/outputdata/step_6/agent_response.json b/src/outputdata/step_6/agent_response.json
deleted file mode 100644
index ef98cd49..00000000
--- a/src/outputdata/step_6/agent_response.json
+++ /dev/null
@@ -1 +0,0 @@
-{"evaluation_previous_goal": "Success - The search bar and links on the redirected English Wikipedia page function correctly.", "memory": "Verified that the search bar and page links on the English Wikipedia page work as expected. The page loaded without errors and the URL was correct. Step 4 of 5 completed.", "next_goal": "Repeat the test on different browsers and devices to check for consistency."}
\ No newline at end of file
diff --git a/src/outputdata/step_6/screenshot.png b/src/outputdata/step_6/screenshot.png
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diff --git a/src/outputdata/step_7/agent_response.json b/src/outputdata/step_7/agent_response.json
deleted file mode 100644
index 1a8ae8dc..00000000
--- a/src/outputdata/step_7/agent_response.json
+++ /dev/null
@@ -1 +0,0 @@
-{"evaluation_previous_goal": "Success - The link from search results worked, and the 'Test Page' does not exist, as expected.", "memory": "Verified that interactive elements like links are functioning properly. Reached a 'Test Page' that doesn't exist, confirming search functionality. Current step 7 of 8.", "next_goal": "Check if other interactive elements such as links to sister projects are functioning as expected."}
\ No newline at end of file
diff --git a/src/outputdata/step_7/screenshot.png b/src/outputdata/step_7/screenshot.png
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diff --git a/src/outputdata/step_8/agent_response.json b/src/outputdata/step_8/agent_response.json
deleted file mode 100644
index 5b951d2b..00000000
--- a/src/outputdata/step_8/agent_response.json
+++ /dev/null
@@ -1 +0,0 @@
-{"evaluation_previous_goal": "Success - Link to Wiktionary worked and page loaded correctly.", "memory": "Verified that links to sister projects like Wiktionary are functioning properly. Current step 8 of 8.", "next_goal": "Report on the findings and complete the task."}
\ No newline at end of file
diff --git a/src/outputdata/step_8/screenshot.png b/src/outputdata/step_8/screenshot.png
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diff --git a/src/webui/components/browser_use_agent_tab.py b/src/webui/components/browser_use_agent_tab.py
index 2482da02..e95b0fe9 100644
--- a/src/webui/components/browser_use_agent_tab.py
+++ b/src/webui/components/browser_use_agent_tab.py
@@ -21,7 +21,7 @@
 import re
 
 
-# from browser_use.agent.service import Agent
+from browser_use.agent.service import Agent
 from browser_use.agent.views import (
     AgentHistoryList,
     AgentOutput,
@@ -120,181 +120,181 @@ async def _initialize_llm(
 #         return default
 
 
-def _format_agent_output(model_output: AgentOutput) -> str:
-    """Formats AgentOutput for display in the chatbot using JSON."""
-    content = ""
-    if model_output:
-        try:
-            # Directly use model_dump if actions and current_state are Pydantic models
-            action_dump = [
-                action.model_dump(exclude_none=True) for action in model_output.action
-            ]
-
-            state_dump = model_output.current_state.model_dump(exclude_none=True)
-            model_output_dump = {
-                "current_state": state_dump,
-                "action": action_dump,
-            }
-            # Dump to JSON string with indentation
-            json_string = json.dumps(model_output_dump, indent=4, ensure_ascii=False)
-            # Wrap in <pre><code> for proper display in HTML
-            content = f"<pre><code class='language-json'>{json_string}</code></pre>"
-
-        except AttributeError as ae:
-            logger.error(
-                f"AttributeError during model dump: {ae}. Check if 'action' or 'current_state' or their items support 'model_dump'."
-            )
-            content = f"<pre><code>Error: Could not format agent output (AttributeError: {ae}).\nRaw output: {str(model_output)}</code></pre>"
-        except Exception as e:
-            logger.error(f"Error formatting agent output: {e}", exc_info=True)
-            # Fallback to simple string representation on error
-            content = f"<pre><code>Error formatting agent output.\nRaw output:\n{str(model_output)}</code></pre>"
+# def _format_agent_output(model_output: AgentOutput) -> str:
+#     """Formats AgentOutput for display in the chatbot using JSON."""
+#     content = ""
+#     if model_output:
+#         try:
+#             # Directly use model_dump if actions and current_state are Pydantic models
+#             action_dump = [
+#                 action.model_dump(exclude_none=True) for action in model_output.action
+#             ]
+
+#             state_dump = model_output.current_state.model_dump(exclude_none=True)
+#             model_output_dump = {
+#                 "current_state": state_dump,
+#                 "action": action_dump,
+#             }
+#             # Dump to JSON string with indentation
+#             json_string = json.dumps(model_output_dump, indent=4, ensure_ascii=False)
+#             # Wrap in <pre><code> for proper display in HTML
+#             content = f"<pre><code class='language-json'>{json_string}</code></pre>"
+
+#         except AttributeError as ae:
+#             logger.error(
+#                 f"AttributeError during model dump: {ae}. Check if 'action' or 'current_state' or their items support 'model_dump'."
+#             )
+#             content = f"<pre><code>Error: Could not format agent output (AttributeError: {ae}).\nRaw output: {str(model_output)}</code></pre>"
+#         except Exception as e:
+#             logger.error(f"Error formatting agent output: {e}", exc_info=True)
+#             # Fallback to simple string representation on error
+#             content = f"<pre><code>Error formatting agent output.\nRaw output:\n{str(model_output)}</code></pre>"
 
-    return content.strip()
+#     return content.strip()
 
 
 # --- Updated Callback Implementation ---
 
 
-async def _handle_new_step(
-        webui_manager: WebuiManager, state: BrowserState, output: AgentOutput, step_num: int
-):
-    """Callback for each step taken by the agent, including screenshot display."""
+# async def _handle_new_step(
+#         webui_manager: WebuiManager, state: BrowserState, output: AgentOutput, step_num: int
+# ):
+#     """Callback for each step taken by the agent, including screenshot display."""
 
-    # print("\n\n\n\n\n HANDLE NEW STEP CALLED\n\n\n\n\n")
+#     # print("\n\n\n\n\n HANDLE NEW STEP CALLED\n\n\n\n\n")
 
-    # Use the correct chat history attribute name from the user's code
-    if not hasattr(webui_manager, "bu_chat_history"):
-        logger.error(
-            "Attribute 'bu_chat_history' not found in webui_manager! Cannot add chat message."
-        )
-        # Initialize it maybe? Or raise an error? For now, log and potentially skip chat update.
-        webui_manager.bu_chat_history = []  # Initialize if missing (consider if this is the right place)
-        # return # Or stop if this is critical
-    step_num -= 1
-    logger.info(f"Step {step_num} completed.")
-
-    #get the current directory
-    #and create a new directory according to the step number
-    current_dir = os.path.dirname(__file__)
-    # output_data_dir = os.path.join(current_dir, "..", "..", "src", "outputdata", "step_" + str(step_num))
-    #output_data_dir = os.path.join(current_dir, "..", "..", "outputdata", "step_" + str(step_num))
-    output_data_dir = "./outputdata"
-
-    os.makedirs(output_data_dir, exist_ok=True)
-
-    # --- Screenshot Handling ---
-    screenshot_html = ""
-    # Ensure state.screenshot exists and is not empty before proceeding
-    # Use getattr for safer access
-    screenshot_data = getattr(state, "screenshot", None)
-    # print("\n\n\n\n\n SCREENSHOT DATA: ", screenshot_data, "\n\n\n\n\n")
-    if screenshot_data:
-        try:
-            # Basic validation: check if it looks like base64
-            if (
-                    isinstance(screenshot_data, str) and len(screenshot_data) > 100
-            ):  
-                # Decode the base64 string
-                #image_to_save_locally = screenshot_data = base64.b64decode(screenshot_data)      # change this line of code bc here screenshot_data value is override
-                image_to_save_locally = base64.b64decode(screenshot_data)
-
-                #saving the image in the output data directory
-                image_path = os.path.join(output_data_dir, "output_image.png")
-                try:
-                    logger.info(f"Saving image to {image_path}")
-                    with open(image_path, "wb") as f:
-                        f.write(image_to_save_locally)
-                    logger.info(f"\n IMAGE SAVED TO PATH: {image_path}")
-                except Exception as e:
-                    logger.error(f"Error saving image: {e}")                
+#     # Use the correct chat history attribute name from the user's code
+#     if not hasattr(webui_manager, "bu_chat_history"):
+#         logger.error(
+#             "Attribute 'bu_chat_history' not found in webui_manager! Cannot add chat message."
+#         )
+#         # Initialize it maybe? Or raise an error? For now, log and potentially skip chat update.
+#         webui_manager.bu_chat_history = []  # Initialize if missing (consider if this is the right place)
+#         # return # Or stop if this is critical
+#     step_num -= 1
+#     logger.info(f"Step {step_num} completed.")
+
+#     #get the current directory
+#     #and create a new directory according to the step number
+#     current_dir = os.path.dirname(__file__)
+#     # output_data_dir = os.path.join(current_dir, "..", "..", "src", "outputdata", "step_" + str(step_num))
+#     #output_data_dir = os.path.join(current_dir, "..", "..", "outputdata", "step_" + str(step_num))
+#     output_data_dir = "./outputdata"
+
+#     os.makedirs(output_data_dir, exist_ok=True)
+
+#     # --- Screenshot Handling ---
+#     screenshot_html = ""
+#     # Ensure state.screenshot exists and is not empty before proceeding
+#     # Use getattr for safer access
+#     screenshot_data = getattr(state, "screenshot", None)
+#     # print("\n\n\n\n\n SCREENSHOT DATA: ", screenshot_data, "\n\n\n\n\n")
+#     if screenshot_data:
+#         try:
+#             # Basic validation: check if it looks like base64
+#             if (
+#                     isinstance(screenshot_data, str) and len(screenshot_data) > 100
+#             ):  
+#                 # Decode the base64 string
+#                 #image_to_save_locally = screenshot_data = base64.b64decode(screenshot_data)      # change this line of code bc here screenshot_data value is override
+#                 image_to_save_locally = base64.b64decode(screenshot_data)
+
+#                 #saving the image in the output data directory
+#                 image_path = os.path.join(output_data_dir, "output_image.png")
+#                 try:
+#                     logger.info(f"Saving image to {image_path}")
+#                     with open(image_path, "wb") as f:
+#                         f.write(image_to_save_locally)
+#                     logger.info(f"\n IMAGE SAVED TO PATH: {image_path}")
+#                 except Exception as e:
+#                     logger.error(f"Error saving image: {e}")                
                 
-                # Arbitrary length check
-                # *** UPDATED STYLE: Removed centering, adjusted width ***
-                img_tag = f'<img src="data:image/jpeg;base64,{image_to_save_locally}" alt="Step {step_num} Screenshot" style="max-width: 800px; max-height: 600px; object-fit:contain;" />'
-                screenshot_html = (
-                        img_tag + "<br/>"
-                )  # Use <br/> for line break after inline-block image
-            else:
-                logger.warning(
-                    f"Screenshot for step {step_num} seems invalid (type: {type(screenshot_data)}, len: {len(screenshot_data) if isinstance(screenshot_data, str) else 'N/A'})."
-                )
-                screenshot_html = "**[Invalid screenshot data]**<br/>"
+#                 # Arbitrary length check
+#                 # *** UPDATED STYLE: Removed centering, adjusted width ***
+#                 img_tag = f'<img src="data:image/jpeg;base64,{image_to_save_locally}" alt="Step {step_num} Screenshot" style="max-width: 800px; max-height: 600px; object-fit:contain;" />'
+#                 screenshot_html = (
+#                         img_tag + "<br/>"
+#                 )  # Use <br/> for line break after inline-block image
+#             else:
+#                 logger.warning(
+#                     f"Screenshot for step {step_num} seems invalid (type: {type(screenshot_data)}, len: {len(screenshot_data) if isinstance(screenshot_data, str) else 'N/A'})."
+#                 )
+#                 screenshot_html = "**[Invalid screenshot data]**<br/>"
 
-        except Exception as e:
-            logger.error(
-                f"Error processing or formatting screenshot for step {step_num}: {e}",
-                exc_info=True,
-            )
-            screenshot_html = "**[Error displaying screenshot]**<br/>"
-    else:
-        logger.debug(f"No screenshot available for step {step_num}.")
-
-    # --- Format Agent Output ---
-    formatted_output = _format_agent_output(output)  # Use the updated function
-
-    # --- Combine and Append to Chat ---
-    step_header = f"--- **Step {step_num}** ---"
-    # Combine header, image (with line break), and JSON block
-    final_content = step_header + "<br/>" + screenshot_html + formatted_output
-    save_chat = {
-        "evaluation_previous_goal": getattr(output.current_state, "evaluation_previous_goal", ""),
-        "memory": getattr(output.current_state, "memory", ""),
-        "next_goal": getattr(output.current_state, "next_goal", ""),
-    }
+#         except Exception as e:
+#             logger.error(
+#                 f"Error processing or formatting screenshot for step {step_num}: {e}",
+#                 exc_info=True,
+#             )
+#             screenshot_html = "**[Error displaying screenshot]**<br/>"
+#     else:
+#         logger.debug(f"No screenshot available for step {step_num}.")
+
+#     # --- Format Agent Output ---
+#     formatted_output = _format_agent_output(output)  # Use the updated function
+
+#     # --- Combine and Append to Chat ---
+#     step_header = f"--- **Step {step_num}** ---"
+#     # Combine header, image (with line break), and JSON block
+#     final_content = step_header + "<br/>" + screenshot_html + formatted_output
+#     save_chat = {
+#         "evaluation_previous_goal": getattr(output.current_state, "evaluation_previous_goal", ""),
+#         "memory": getattr(output.current_state, "memory", ""),
+#         "next_goal": getattr(output.current_state, "next_goal", ""),
+#     }
 
-    chat_message = {
-        "role": "assistant",
-        "content": final_content.strip(),  # Remove leading/trailing whitespace
-    }
+#     chat_message = {
+#         "role": "assistant",
+#         "content": final_content.strip(),  # Remove leading/trailing whitespace
+#     }
 
-    #lets store the formatted output in a file
-    agent_response_path = os.path.join(output_data_dir, "agent_response.json")
-    try:
-        logger.info(f"Saving agent response to {agent_response_path}")
-        with open(agent_response_path, "w") as f:
-            json.dump(save_chat, f)
-            logger.info(f"\n AGENT RESPONSE SAVED TO PATH: {agent_response_path}")
-    except Exception as e:
-        logger.error(f"Error saving agent response: {e}")
+#     #lets store the formatted output in a file
+#     agent_response_path = os.path.join(output_data_dir, "agent_response.json")
+#     try:
+#         logger.info(f"Saving agent response to {agent_response_path}")
+#         with open(agent_response_path, "w") as f:
+#             json.dump(save_chat, f)
+#             logger.info(f"\n AGENT RESPONSE SAVED TO PATH: {agent_response_path}")
+#     except Exception as e:
+#         logger.error(f"Error saving agent response: {e}")
 
 
-    # Append to the correct chat history list
-    webui_manager.bu_chat_history.append(chat_message)
+#     # Append to the correct chat history list
+#     webui_manager.bu_chat_history.append(chat_message)
         
-    await asyncio.sleep(0.05)
+#     await asyncio.sleep(0.05)
 
-    # Check if video recording is active
-    if hasattr(webui_manager.bu_browser, ''
-    ''):
-        if webui_manager.bu_browser.recorder.is_video_recording():
-            logger.info("🎥 Video recording is active")
-        else:
-            logger.warning("⚠️ Video recording is not active!")
+#     # Check if video recording is active
+#     if hasattr(webui_manager.bu_browser, ''
+#     ''):
+#         if webui_manager.bu_browser.recorder.is_video_recording():
+#             logger.info("🎥 Video recording is active")
+#         else:
+#             logger.warning("⚠️ Video recording is not active!")
 
 
-def _handle_done(webui_manager: WebuiManager, history: AgentHistoryList):
-    """Callback when the agent finishes the task (success or failure)."""
-    logger.info(
-        f"Agent task finished. Duration: {history.total_duration_seconds():.2f}s, Tokens: {history.total_input_tokens()}"
-    )
-    final_summary = "**Task Completed**\n"
-    final_summary += f"- Duration: {history.total_duration_seconds():.2f} seconds\n"
-    final_summary += f"- Total Input Tokens: {history.total_input_tokens()}\n"  # Or total tokens if available
+# def _handle_done(webui_manager: WebuiManager, history: AgentHistoryList):
+#     """Callback when the agent finishes the task (success or failure)."""
+#     logger.info(
+#         f"Agent task finished. Duration: {history.total_duration_seconds():.2f}s, Tokens: {history.total_input_tokens()}"
+#     )
+#     final_summary = "**Task Completed**\n"
+#     final_summary += f"- Duration: {history.total_duration_seconds():.2f} seconds\n"
+#     final_summary += f"- Total Input Tokens: {history.total_input_tokens()}\n"  # Or total tokens if available
 
-    final_result = history.final_result()
-    if final_result:
-        final_summary += f"- Final Result: {final_result}\n"
+#     final_result = history.final_result()
+#     if final_result:
+#         final_summary += f"- Final Result: {final_result}\n"
 
-    errors = history.errors()
-    if errors and any(errors):
-        final_summary += f"- **Errors:**\n```\n{errors}\n```\n"
-    else:
-        final_summary += "- Status: Success\n"
+#     errors = history.errors()
+#     if errors and any(errors):
+#         final_summary += f"- **Errors:**\n```\n{errors}\n```\n"
+#     else:
+#         final_summary += "- Status: Success\n"
 
-    webui_manager.bu_chat_history.append(
-        {"role": "assistant", "content": final_summary}
-    )
+#     webui_manager.bu_chat_history.append(
+#         {"role": "assistant", "content": final_summary}
+#     )
 
 #This callback handles agent help requests but isn’t used in the current flow. 
 # and This feature is disabled for the current use case.
@@ -516,12 +516,6 @@ async def handle_step(state: BrowserState, output: AgentOutput, step_num: int):
         final_result = history.final_result() or "No result"
 
 
-#     # Get only the final ActionResult.extracted_content
-#     final_result = (
-#         last_result.extracted_content 
-#         if last_result and last_result.extracted_content 
-#         else history.final_result() or "No result"
-# )
     return {
         "task_id": task_id,
         "final_result": final_result,
@@ -630,9 +624,9 @@ async def _initialize_llm(
 #         #ollama_num_ctx if llm_provider_name == "ollama" else None,
 #     )
 
-# #/////////////////
+
 # #planner functionality using a separate LLM is not required in the current setup.
-# #/////////////////
+
 
 #     # planner_llm_provider_name = None                        
 #     # planner_llm = None

From 44520576d38efd04d2b4482710ffa058632f9084 Mon Sep 17 00:00:00 2001
From: itsareebalatif <itsareebalatif@gmail.com>
Date: Tue, 29 Jul 2025 12:48:10 +0500
Subject: [PATCH 23/38] new changes

---
 src/outputdata/agent_execution.json | 9 ++++++++-
 1 file changed, 8 insertions(+), 1 deletion(-)

diff --git a/src/outputdata/agent_execution.json b/src/outputdata/agent_execution.json
index c9c513b9..866bf5bd 100644
--- a/src/outputdata/agent_execution.json
+++ b/src/outputdata/agent_execution.json
@@ -1,3 +1,10 @@
 [
-  
+  {
+    "timestamp": "2025-07-28 15:56:40",
+    "agents_name": "Webpage Checker",
+    "number_of_tries": 1,
+    "time_taken": 1,
+    "user_input": "https://zanjabeelbookstore.com/collections/novels-by-nemrah-ahmed",
+    "output": "200 - OK"
+  }
 ]
\ No newline at end of file

From f354be4f24b7293480cf39c08d1543c86b38615b Mon Sep 17 00:00:00 2001
From: Mohsin Ali Irfan <mohsin.ali@codeupscale.com>
Date: Tue, 29 Jul 2025 20:24:28 +0500
Subject: [PATCH 24/38] Displayed the video within the UI, dockerized the api
 and modified the ui and debugged the intent classifier function

---
 LIVE_BROWSER_README.md                        | 164 ++++++++++++++++++
 requirements.txt                              |   4 +-
 src/API/main.py                               |  37 +---
 src/agent/intent_classifier/prompt.py         |   4 +-
 src/agent/orchestrator/agent_orchestrator.py  |   7 +-
 src/webui/components/browser_use_agent_tab.py | 161 ++++++++++-------
 supervisord.conf                              |   2 +-
 7 files changed, 285 insertions(+), 94 deletions(-)
 create mode 100644 LIVE_BROWSER_README.md

diff --git a/LIVE_BROWSER_README.md b/LIVE_BROWSER_README.md
new file mode 100644
index 00000000..f0c761e6
--- /dev/null
+++ b/LIVE_BROWSER_README.md
@@ -0,0 +1,164 @@
+# 🧪 Live Browser Testing Agent
+
+This system now supports **real-time browser automation viewing** directly in your frontend! Instead of watching video recordings after the fact, you can see the browser automation happening live as it occurs.
+
+## 🎯 What's New
+
+### ✅ **Live Browser Viewing**
+- **Real-time automation** visible in your frontend
+- **Live mouse movements** and clicks
+- **Page navigation** and form filling
+- **Immediate feedback** when agent starts working
+- **Final browser state** remains visible after completion
+
+### ✅ **Two Interface Options**
+1. **Simple HTML Frontend** (`static/index.html`) - Clean, focused interface
+2. **Gradio WebUI** (`http://localhost:7788`) - Full-featured interface with live VNC
+
+## 🚀 Quick Start
+
+### Option 1: Automated Setup (Recommended)
+```bash
+# Run the startup script
+python start_live_browser.py
+```
+
+### Option 2: Manual Setup
+```bash
+# Start Docker with VNC support
+docker compose up --build
+
+# Wait for services to start (about 30 seconds)
+# Then access your interface
+```
+
+## 📱 Access Your Applications
+
+| Service | URL | Purpose |
+|---------|-----|---------|
+| **Simple Frontend** | `http://localhost:7788` | Clean HTML interface |
+| **Gradio WebUI** | `http://localhost:7788` | Full-featured interface |
+| **VNC Viewer** | `http://localhost:6080/vnc.html` | Direct VNC access |
+| **VNC Password** | `youvncpassword` | Default password |
+
+## 🎨 How It Works
+
+### **Before Agent Runs:**
+- Clean browser window (empty or showing your app)
+- Status indicator showing "Ready"
+
+### **During Agent Execution:**
+- **Real-time browser automation** happening right in the UI
+- **Live mouse movements** and clicks
+- **Page navigation** and form filling
+- **Screenshot updates** as the agent works
+
+### **After Agent Completes:**
+- Final state of the browser
+- Results visible in the browser
+- Status showing "Completed"
+
+## 🔧 Technical Details
+
+### **VNC Architecture**
+```
+User Frontend → VNC Viewer (port 6080) → VNC Server (port 5901) → Virtual Display (:99) → Browser
+```
+
+### **Components**
+- **Xvfb**: Virtual display server (`:99`)
+- **x11vnc**: VNC server sharing the virtual display
+- **noVNC**: Web-based VNC client
+- **Supervisor**: Manages all services
+
+### **Browser Configuration**
+- **Headless**: `False` (browser visible for VNC)
+- **Window Size**: 1280x1100
+- **Display**: `:99` (virtual display)
+
+## 🛠️ Troubleshooting
+
+### **VNC Not Showing**
+1. Check if Docker is running: `docker ps`
+2. Verify VNC service: `docker logs <container_name>`
+3. Check ports: `netstat -an | grep 6080`
+
+### **Browser Not Visible**
+1. Ensure `headless=False` in browser config
+2. Check if virtual display is working
+3. Verify VNC connection
+
+### **Performance Issues**
+1. Reduce VNC quality settings
+2. Increase Docker memory allocation
+3. Close unnecessary browser tabs
+
+## 🔒 Security Notes
+
+- **VNC Password**: Change default password in `.env` file
+- **Network Access**: VNC is only accessible on localhost by default
+- **Browser Isolation**: Each session runs in isolated container
+
+## 📝 Configuration
+
+### **Environment Variables**
+```bash
+# VNC Settings
+VNC_PASSWORD=your_custom_password
+RESOLUTION=1920x1080x24
+
+# Browser Settings
+DISPLAY=:99
+USE_OWN_BROWSER=false
+KEEP_BROWSER_OPEN=true
+```
+
+### **Custom VNC Settings**
+Edit `supervisord.conf` to modify:
+- VNC port (default: 5901)
+- Display resolution
+- Authentication settings
+
+## 🎯 Usage Examples
+
+### **Simple Test**
+1. Open `http://localhost:7788`
+2. Enter query: "Click the login button"
+3. Enter URL: "https://example.com"
+4. Click "Start Live Test"
+5. Watch the browser automation happen live!
+
+### **Complex Workflow**
+1. Start with simple navigation
+2. Watch form filling in real-time
+3. See error handling and retries
+4. Observe final state and results
+
+## 🚀 Advanced Features
+
+### **Multiple Browser Sessions**
+- Each test runs in isolated browser context
+- No interference between concurrent tests
+- Clean state for each automation
+
+### **Debugging Support**
+- Live view helps identify automation issues
+- Real-time feedback on agent decisions
+- Visual confirmation of actions
+
+### **Integration Options**
+- Embed VNC viewer in any web application
+- Customize VNC viewer appearance
+- Add status indicators and controls
+
+## 📞 Support
+
+If you encounter issues:
+1. Check the Docker logs: `docker compose logs`
+2. Verify all services are running
+3. Ensure ports are not blocked
+4. Check browser console for errors
+
+---
+
+**🎉 Enjoy your live browser automation experience!** 
\ No newline at end of file
diff --git a/requirements.txt b/requirements.txt
index a853cfa4..d2b933c6 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -8,4 +8,6 @@ langchain-ibm==0.3.10
 langchain_mcp_adapters==0.0.9
 langgraph==0.3.34
 langchain-community
-langchain-ollama
\ No newline at end of file
+langchain-ollama
+fastapi
+uvicorn[standard]
\ No newline at end of file
diff --git a/src/API/main.py b/src/API/main.py
index 9dda9586..a48450d3 100644
--- a/src/API/main.py
+++ b/src/API/main.py
@@ -11,10 +11,13 @@
 app = FastAPI()
 
 
-# Mount the videos folder
-app.mount("/videos", StaticFiles(directory="outputdata/videos"), name="videos")
+# Mount the static files
 app.mount("/static", StaticFiles(directory=os.getcwd()), name="static")
 
+# Set display environment for Docker
+if not os.getenv("DISPLAY"):
+    os.environ["DISPLAY"] = ":99"
+
 
 
 class AgentRequest(BaseModel):
@@ -24,17 +27,16 @@ class AgentRequest(BaseModel):
 @app.post("/run-agent")
 async def run_agent(request: AgentRequest):
     try:
+        print(f"🔄 Starting agent with DISPLAY={os.getenv('DISPLAY')}")
         result = await run_agent_task(request.query, request.url)
-        #print("🧪 Raw result from run_agent_task:", result)
-        # logger.info(f"🧪 Raw result from run_agent_task: {result}")
-        #print("In main.py ",result["final_result"])
+        
         return {
             "status": "success",
             "task_id": result["task_id"],
-            "final_result": result["final_result"],
-            "videos": result["videos"]
+            "final_result": result["final_result"]
         }
     except Exception as e:
+        print(f"❌ Agent error: {e}")
         raise HTTPException(status_code=500, detail=str(e))
     
 @app.post("/stop-agent")
@@ -42,27 +44,6 @@ def stop_agent():
     # call stop_wrapper or shutdown browser/session
     return {"status": "stopped"}
 
-# @app.post("/run-agent")
-# async def run_agent(request: AgentRequest):
-#     try:
-#         result = await run_agent_task(request.query, request.url)
-#         print("TYPE OF RESULT:", type(result))
-#         print("DIR OF RESULT:", dir(result))
-      
-
-#         return {
-#             "status": "success",
-#             "task_id": result["task_id"],
-#             "final_result": result["final_result"],
-#             #"final_result": result.final_result,
-#             # "output_dir": result["output_dir"],
-#             # "screenshots": len(result["screenshot_paths"]),
-#             #"responses": len(result["response_paths"]),          #no need
-#             #"steps": result["step_count"] 
-#         }
-#     except Exception as e:
-#         raise HTTPException(status_code=500, detail=str(e))
-    
 # Serve index.html at /
 @app.get("/")
 async def serve_frontend():
diff --git a/src/agent/intent_classifier/prompt.py b/src/agent/intent_classifier/prompt.py
index f59b024b..73a03697 100644
--- a/src/agent/intent_classifier/prompt.py
+++ b/src/agent/intent_classifier/prompt.py
@@ -53,12 +53,14 @@
 
 - Always make sure that performing any sought of functionality would also be considered as SQA because user might sometimes just ask simply to do this/that on the website. 
 
+- When modifyin the prompt, always include the url that has been orginally given by the user.
+
 Output Structre:
 Return the result as a JSON object in the following format ONLY:
 { 
     "agent_msg": "The intent is realted to QA"
     "intent": true 
-    "prompt": new prompt without the UI or animation testing or just nothing like this ""
+    "modified_prompt": (new prompt without the UI or animation testing or just nothing like this "")
 } 
 or 
 {
diff --git a/src/agent/orchestrator/agent_orchestrator.py b/src/agent/orchestrator/agent_orchestrator.py
index 3854d961..2ad2c900 100644
--- a/src/agent/orchestrator/agent_orchestrator.py
+++ b/src/agent/orchestrator/agent_orchestrator.py
@@ -91,6 +91,7 @@ def __init__(
         self.builder.add_node("prompt_enhancer", self.prompt_enhancer)
         self.builder.add_node("browser_ui", self.browser_ui)
 
+
         self.builder.add_edge(START, "intent_classifier")
 
         self.builder.add_conditional_edges(
@@ -109,7 +110,7 @@ def __init__(
                 "take_screenshot": "take_screenshot",
                 "__end__": END
             }
-        )
+        )                        
 
         self.builder.add_conditional_edges(
             "take_screenshot",
@@ -250,8 +251,10 @@ async def browser_ui(self, state: State) -> State:
         logger.info("\n\n BROWSER UI AGENT...\n")
         try:
             # Initialize BrowserUseAgent with all required parameters
+            task = f"{state['enhanced_prompt']} URL: {self.url}"
+            logger.info("task to browser use agent: " ,task )
             browser_agent = BrowserUseAgent(
-                task=state["enhanced_prompt"],
+                task=task,
                 llm=self.llm,
                 browser=state["browser"],
                 browser_context=state["browser_context"],
diff --git a/src/webui/components/browser_use_agent_tab.py b/src/webui/components/browser_use_agent_tab.py
index e95b0fe9..1cdebac5 100644
--- a/src/webui/components/browser_use_agent_tab.py
+++ b/src/webui/components/browser_use_agent_tab.py
@@ -353,10 +353,7 @@ async def run_agent_task(query: str, url: str) -> Dict[str, Any]:
     Simplified agent runner that handles everything
     Returns: {
         "task_id": str,
-        "final_result": str,
-        "screenshot_paths": list[str],
-        "response_paths": list[str],
-        "output_dir": str
+        "final_result": str
     }
     """
     task_id = str(uuid.uuid4())
@@ -364,16 +361,38 @@ async def run_agent_task(query: str, url: str) -> Dict[str, Any]:
     
     os.makedirs(output_dir, exist_ok=True)
     
+    # Set display for Docker
+    if not os.getenv("DISPLAY"):
+        os.environ["DISPLAY"] = ":99"
+    
+    print(f"🖥️ Using display: {os.getenv('DISPLAY')}")
+    
     # 1. Initialize browser
     playwright = await async_playwright().start()
     browser = CustomBrowser(
         config=BrowserConfig(
-            headless=False,
+            headless=False,  # Keep browser visible for VNC
             disable_security=False,
-            extra_browser_args=[],
+            fullscreen=True,  # Start in fullscreen mode
+            extra_browser_args=[
+                "--no-sandbox",
+                "--disable-dev-shm-usage",
+                "--disable-gpu",
+                "--disable-web-security",
+                "--disable-features=VizDisplayCompositor",
+                "--start-maximized",
+                "--window-size=1920,1080",
+                "--window-position=0,0",
+                "--disable-extensions",
+                "--disable-background-timer-throttling",
+                "--disable-backgrounding-occluded-windows",
+                "--disable-renderer-backgrounding",
+                "--force-device-scale-factor=1",
+                "--high-dpi-support=1"
+            ],
             new_context_config=BrowserContextConfig(
-                window_width=1280,
-                window_height=1100
+                window_width=1920,
+                window_height=1080
             )
         )
     )
@@ -381,20 +400,54 @@ async def run_agent_task(query: str, url: str) -> Dict[str, Any]:
     
     playwright_browser = await browser._setup_builtin_browser(playwright)
     
-    # Setup recorder with the actual browser instance
+    # Setup recorder with the actual browser instance (optional for debugging)
     recorder = BrowserRecorder()
-    browser_context = await recorder.setup_recording(playwright_browser)  # FIXED HERE
+    browser_context = await recorder.setup_recording(playwright_browser)
     
     
     # 2. Create context
     context_config = BrowserContextConfig(
         save_downloads_path=os.path.join(output_dir, "downloads"),
-        window_height=1100,
-        window_width=1280,
+        window_height=1080,
+        window_width=1920,
     )
     browser_context = await browser.new_context(config=context_config)
     await browser_context.setup()
     
+    # Maximize the browser window to fill the entire VNC screen
+    try:
+        page = await browser_context.new_page()
+        # Set viewport to full screen size
+        await page.set_viewport_size({"width": 1920, "height": 1080})
+        # More aggressive window maximization
+        await page.evaluate("""
+            // Maximize window
+            if (window.screen && window.screen.availWidth && window.screen.availHeight) {
+                window.resizeTo(window.screen.availWidth, window.screen.availHeight);
+                window.moveTo(0, 0);
+            }
+            
+            // Try multiple fullscreen methods
+            setTimeout(() => {
+                if (document.documentElement.requestFullscreen) {
+                    document.documentElement.requestFullscreen();
+                } else if (document.documentElement.webkitRequestFullscreen) {
+                    document.documentElement.webkitRequestFullscreen();
+                } else if (document.documentElement.msRequestFullscreen) {
+                    document.documentElement.msRequestFullscreen();
+                }
+            }, 1000);
+            
+            // Also try to maximize the browser window itself
+            if (window.chrome && window.chrome.webstore) {
+                // Chrome-specific maximization
+                window.resizeTo(screen.availWidth, screen.availHeight);
+            }
+        """)
+        await page.close()
+    except Exception as e:
+        print(f"⚠️ Could not maximize browser window: {e}")
+    
     # 3. Initialize controller
     controller = CustomController()
     
@@ -406,24 +459,13 @@ async def run_agent_task(query: str, url: str) -> Dict[str, Any]:
         api_key=os.getenv("OPENAI_API_KEY")
     )
     
-    # 5. Create step handler
+    # 5. Create step handler (simplified for live viewing)
     async def handle_step(state: BrowserState, output: AgentOutput, step_num: int):
-        """Process each agent step and save outputs"""
+        """Process each agent step - simplified for live viewing"""
         step_dir = os.path.join(output_dir, f"step_{step_num}")
         os.makedirs(step_dir, exist_ok=True)
         
-        # Save screenshot
-        screenshot_path = None
-        if state.screenshot:
-            try:
-                image_data = base64.b64decode(state.screenshot)
-                screenshot_path = os.path.join(step_dir, "screenshot.png")
-                with open(screenshot_path, "wb") as f:
-                    f.write(image_data)
-            except Exception as e:
-                logger.error(f"Error saving screenshot: {e}")
-        
-        # Save agent response
+        # Save agent response for debugging
         response_data = {
             "evaluation_previous_goal": getattr(output.current_state, "evaluation_previous_goal", ""),
             "memory": getattr(output.current_state, "memory", ""),
@@ -433,26 +475,25 @@ async def handle_step(state: BrowserState, output: AgentOutput, step_num: int):
         with open(response_path, "w") as f:
             json.dump(response_data, f)
             
-        return screenshot_path, response_path
+        return None, response_path
 
     # 6. Run agent
     agent = AgentOrchestrator(
         llm=llm,
         browser_config={
-            "headless": False,
-            "window_width": 1280,
-            "window_height": 1100,
+            "headless": False,  # Keep browser visible for VNC
+            "window_width": 1920,
+            "window_height": 1080,
             "use_own_browser": True,
             "disable_security": False,
             "url": url
         },
         use_vision=True,
         max_actions_per_step=5,
-        generate_gif=True,
-        user_query=f"{query}  url: {url}",
+        generate_gif=False,  # Disable GIF generation since we have live view
+        user_query=query,
         url=url,
         register_new_step_callback=handle_step,
-        #done_callback=lambda history: logger.info(f"Task completed in {history.total_duration_seconds():.2f}s"),
         override_system_prompt=None,
         extend_system_prompt=None,
     )
@@ -470,38 +511,23 @@ async def handle_step(state: BrowserState, output: AgentOutput, step_num: int):
         if last_history_item.result:
             last_result = last_history_item.result[-1]  # Get the last result in that item
 
-    # Now you can access fields like:
+    # Process results
     if last_result:
-        
-        print(type(last_result.extracted_content))
-        
-        print("sample output:",last_result.extracted_content[-1])
         print("✅ Extracted Content:", last_result.extracted_content)
         print("✅ Is Done:", last_result.is_done)
-        #logger.info(f'📄 Result: {result[-1].extracted_content}')
-
     else:
         print("⚠️ No result found.")
 
-    await recorder.save_recording()
-
+    # Save recording for debugging (optional)
+    try:
+        await recorder.save_recording()
+    except Exception as e:
+        logger.warning(f"Could not save recording: {e}")
     
     # 7. Cleanup
     await browser_context.close()
     await browser.close()
     await playwright.stop()
-  
-    videos = recorder.get_recorded_videos()
-    
-    # Validate that videos actually exist
-    valid_videos = []
-    for video in videos:
-        video_path = os.path.join("outputdata", "videos", video)
-        if os.path.exists(video_path):
-            valid_videos.append(video)
-        else:
-            logger.warning(f"⚠️ Video file not found: {video_path}")
-
        
     final_result = "No result"
     if last_result and last_result.extracted_content:
@@ -515,11 +541,9 @@ async def handle_step(state: BrowserState, output: AgentOutput, step_num: int):
     else:
         final_result = history.final_result() or "No result"
 
-
     return {
         "task_id": task_id,
-        "final_result": final_result,
-        "videos": valid_videos
+        "final_result": final_result
     }
     
     
@@ -982,7 +1006,7 @@ async def handle_stop(webui_manager: WebuiManager):
             
             # ,webui_manager.get_component_by_id(
             #     "browser_use_agent.pause_resume_button"
-            #): gr.update(interactive=False)
+            # ): gr.update(interactive=False)
             ,
             webui_manager.get_component_by_id(
                 "browser_use_agent.run_button"
@@ -1162,10 +1186,25 @@ def create_browser_use_agent_tab(webui_manager: WebuiManager):
             run_button = gr.Button("▶️ Submit Task", variant="primary", scale=3)
 
         browser_view = gr.HTML(
-            value="<div style='width:100%; height:50vh; display:flex; justify-content:center; align-items:center; border:1px solid #ccc; background-color:#f0f0f0;'><p>Browser View (Requires Headless=True)</p></div>",
-            label="Browser Live View",
+            value="""
+            <div style="width:100%; height:600px; border:1px solid #ccc; border-radius:8px; overflow:hidden;">
+                <div style="background:#f8f9fa; padding:10px; border-bottom:1px solid #dee2e6;">
+                    <strong>🖥️ Live Browser View</strong>
+                    <span style="float:right; color:#28a745;">● Connected</span>
+                </div>
+                <iframe 
+                    src="http://localhost:6080/vnc.html?autoconnect=true&resize=scale&password=youvncpassword&autoconnect=true&resize=scale&quality=6&compression=6" 
+                    width="100%" 
+                    height="calc(100% - 50px)" 
+                    frameborder="0"
+                    allowfullscreen
+                    style="border-radius: 0 0 8px 8px;">
+                </iframe>
+            </div>
+            """,
+            label="Live Browser Automation",
             elem_id="browser_view",
-            visible=False,
+            visible=True,
         )
         with gr.Column():
             gr.Markdown("### Task Outputs")
diff --git a/supervisord.conf b/supervisord.conf
index 60107669..28c60427 100644
--- a/supervisord.conf
+++ b/supervisord.conf
@@ -66,7 +66,7 @@ startsecs=3
 depends_on=x11vnc
 
 [program:webui]
-command=python webui.py --ip 0.0.0.0 --port 7788
+command=uvicorn src.API.main:app --host 0.0.0.0 --port 7788
 directory=/app
 autorestart=true
 stdout_logfile=/dev/stdout

From b1b2c388e5669c9f7665b10fb472288d0ff51900 Mon Sep 17 00:00:00 2001
From: Mohsin Ali Irfan <mohsin.ali@codeupscale.com>
Date: Wed, 30 Jul 2025 19:28:14 +0500
Subject: [PATCH 25/38] Add problematic SSH key files to .gitignore and remove
 from tracking

---
 .gitignore                     | 6 ++++++
 "eval \"$(ssh-agent -s)\""     | 0
 "eval \"$(ssh-agent -s)\".pub" | 0
 3 files changed, 6 insertions(+)
 delete mode 100644 "eval \"$(ssh-agent -s)\""
 delete mode 100644 "eval \"$(ssh-agent -s)\".pub"

diff --git a/.gitignore b/.gitignore
index 639253fa..87175598 100644
--- a/.gitignore
+++ b/.gitignore
@@ -191,3 +191,9 @@ data/
 
 workflow.env
 .venv/
+
+
+
+#ssh keys poublic and private 
+"eval \"$(ssh-agent -s)\""
+"eval \"$(ssh-agent -s)\".pub"
\ No newline at end of file
diff --git "a/eval \"$(ssh-agent -s)\"" "b/eval \"$(ssh-agent -s)\""
deleted file mode 100644
index e69de29b..00000000
diff --git "a/eval \"$(ssh-agent -s)\".pub" "b/eval \"$(ssh-agent -s)\".pub"
deleted file mode 100644
index e69de29b..00000000

From b2d3902648d6e89aa290e7a40182357ccc16cf70 Mon Sep 17 00:00:00 2001
From: Mohsin Ali Irfan <mohsin.ali@codeupscale.com>
Date: Wed, 30 Jul 2025 20:05:15 +0500
Subject: [PATCH 26/38] HTML file with new live browser view

---
 static/index.html | 175 ++++++++++++++++++++++++++++++++--------------
 1 file changed, 121 insertions(+), 54 deletions(-)

diff --git a/static/index.html b/static/index.html
index fab4dcdb..78f9e96d 100644
--- a/static/index.html
+++ b/static/index.html
@@ -1,17 +1,15 @@
-<link rel="icon" href="/static/favicon.ico" type="image/x-icon">
-<link rel="apple-touch-icon" href="/static/apple-touch-icon.png">
 <!DOCTYPE html>
 <html lang="en">
 <head>
   <meta charset="UTF-8" />
-  <title>Next SQA AI</title>
+  <title>Next SQA AI - Live Browser Testing</title>
   <style>
     body {
       font-family: 'Segoe UI', sans-serif;
       background-color: #f9f9f9;
       padding: 40px;
       color: #333;
-      max-width: 800px;
+      max-width: 1000px;
       margin: auto;
     }
 
@@ -68,17 +66,17 @@
       cursor: not-allowed;
     }
 
-    #video-container {
+    #live-browser-container {
       margin-top: 40px;
-      text-align: center;
     }
 
-    video {
-      width: 100%;
-      max-width: 100%;
-      border-radius: 10px;
-      border: 1px solid #ddd;
-      box-shadow: 0 2px 8px rgba(0,0,0,0.1);
+    #agent-status {
+      text-align: center;
+      padding: 10px;
+      margin: 10px 0;
+      border-radius: 5px;
+      background-color: #e9ecef;
+      font-weight: 500;
     }
 
     #error-message {
@@ -86,12 +84,54 @@
       text-align: center;
       margin-top: 15px;
     }
+
+    .vnc-container {
+      border: 1px solid #ccc;
+      border-radius: 10px;
+      overflow: hidden;
+      box-shadow: 0 2px 8px rgba(0,0,0,0.1);
+      height: 700px;
+      width: 100%;
+    }
+
+    .status-running {
+      background-color: #d4edda !important;
+      color: #155724 !important;
+    }
+
+    .status-completed {
+      background-color: #d1ecf1 !important;
+      color: #0c5460 !important;
+    }
+
+    .status-error {
+      background-color: #f8d7da !important;
+      color: #721c24 !important;
+    }
+
+    #vnc-iframe {
+      width: 100%;
+      height: 100%;
+      border: none;
+      display: none;
+      object-fit: contain;
+    }
+
+    #vnc-placeholder {
+      display: flex;
+      flex-direction: column;
+      justify-content: center;
+      align-items: center;
+      height: 100%;
+      padding: 20px;
+      text-align: center;
+      color: #666;
+    }
   </style>
 </head>
-<meta http-equiv="Cache-Control" content="no-store" />
 
 <body>
-  <h2>🧪 Website Testing Agent</h2>
+  <h2>🧪 Live Browser Testing Agent</h2>
 
   <div class="form-group">
     <label for="query">Prompt:</label>
@@ -104,20 +144,32 @@ <h2>🧪 Website Testing Agent</h2>
   </div>
 
   <div class="buttons">
-    <button onclick="submitTest()">Submit</button>
+    <button onclick="submitTest()">Start Live Test</button>
     <button onclick="clearForm()">Clear</button>
     <button onclick="stopTest()">Stop</button>
   </div>
 
   <div id="error-message"></div>
-
-  <div id="video-container">
-    <h3>Test Video:</h3>
-    <div style="margin-top: 15px; background: #f0f0f0; border: 1px solid #ccc; border-radius: 10px; padding: 10px; display: flex; justify-content: center; align-items: center; min-height: 300px;">
-      <video id="test-video" controls hidden style="width: 100%; max-width: 700px; height: 280px; border-radius: 10px;">
-        <source id="video-source" src="" type="video/webm" />
-        Your browser does not support the video tag.
-      </video>
+  <div id="agent-status">Ready to start testing...</div>
+
+  <div id="live-browser-container">
+    <h3>Live Browser Interaction:</h3>
+    <div class="vnc-container">
+      <div id="vnc-placeholder">
+        <p>🔄 Browser will appear here when agent starts...</p>
+        <p style="font-size: 14px; color: #999;">You'll see real-time automation happening!</p>
+        <p style="font-size: 12px; color: #ccc; margin-top: 20px;">
+          <strong>Instructions:</strong><br>
+          1. Enter your query and URL above<br>
+          2. Click "Start Live Test"<br>
+          3. Watch the browser automation happen live!
+        </p>
+      </div>
+      <iframe 
+        id="vnc-iframe" 
+        src="" 
+        allowfullscreen>
+      </iframe>
     </div>
   </div>
 
@@ -126,9 +178,10 @@ <h3>Test Video:</h3>
       const queryInput = document.getElementById("query");
       const urlInput = document.getElementById("url");
       const errorDiv = document.getElementById("error-message");
-      const submitBtn = document.querySelector(".buttons button"); // Submit button
-      const video = document.getElementById("test-video");
-      const source = document.getElementById("video-source");
+      const statusDiv = document.getElementById("agent-status");
+      const submitBtn = document.querySelector(".buttons button");
+      const vncIframe = document.getElementById("vnc-iframe");
+      const vncPlaceholder = document.getElementById("vnc-placeholder");
 
       const query = queryInput.value.trim();
       const url = urlInput.value.trim();
@@ -147,11 +200,15 @@ <h3>Test Video:</h3>
       submitBtn.textContent = "Running...";
       submitBtn.style.backgroundColor = "#6c757d";
 
-      // Reset video and message
-      source.src = "";
-      video.load();
-      video.hidden = true;
-      document.querySelector("#video-container h3").textContent = "Test Video:";
+      // Show VNC viewer with proper configuration
+      statusDiv.textContent = "🔄 Starting browser...";
+      statusDiv.className = "status-running";
+      vncPlaceholder.style.display = "none";
+      vncIframe.style.display = "block";
+      
+      // Configure VNC with optimal settings for live viewing - full screen and better scaling
+      const vncUrl = "http://localhost:6080/vnc.html?autoconnect=true&resize=scale&password=youvncpassword&autoconnect=true&resize=scale&quality=6&compression=6&clipViewport=true&scaleViewport=true&reconnect=true&fullscreen=true&scale=1.0&fitMode=scale&viewOnly=false&showDotCursor=true&background=#000000";
+      vncIframe.src = vncUrl;
 
       try {
         const response = await fetch("/run-agent", {
@@ -164,53 +221,63 @@ <h3>Test Video:</h3>
         console.log("Agent result:", result);
 
         if (response.ok) {
-          if (result.videos && result.videos.length > 0) {
-            const videoFilename = result.videos[0];
-            const videoPath = `/videos/${videoFilename}?t=${Date.now()}&r=${Math.random()}`;
-
-            console.log("Loading video:", videoPath);
-            
-            source.src = videoPath;
-            video.load();
-            video.hidden = false;
-
-            video.hidden = false;
-            document.querySelector("#video-container h3").textContent = "Test Video:";
-          } else {
-            errorDiv.textContent = "No video was recorded for this task.";
-            document.querySelector("#video-container h3").textContent = "No test performed.";
-          }
+          statusDiv.textContent = "✅ Task completed! Check the browser above for results.";
+          statusDiv.className = "status-completed";
+          document.querySelector("#live-browser-container h3").textContent = "✅ Task Completed - Final Browser State:";
         } else {
           errorDiv.textContent = "Error: " + (result.detail || "Unknown error");
+          statusDiv.textContent = "❌ Task failed";
+          statusDiv.className = "status-error";
+          vncIframe.style.display = "none";
+          vncPlaceholder.style.display = "flex";
+          vncPlaceholder.innerHTML = "<p>❌ Task failed</p>";
         }
       } catch (err) {
         errorDiv.textContent = "Something went wrong. Please try again.";
         console.error("Fetch error:", err);
+        statusDiv.textContent = "❌ Connection failed";
+        statusDiv.className = "status-error";
+        vncIframe.style.display = "none";
+        vncPlaceholder.style.display = "flex";
+        vncPlaceholder.innerHTML = "<p>❌ Connection failed</p>";
       }
 
       // ✅ Restore button but keep inputs disabled
       submitBtn.disabled = false;
-      submitBtn.textContent = "Submit";
+      submitBtn.textContent = "Start Live Test";
       submitBtn.style.backgroundColor = "#007bff";
     }
 
     function clearForm() {
       const queryInput = document.getElementById("query");
       const urlInput = document.getElementById("url");
-      const video = document.getElementById("test-video");
-      const source = document.getElementById("video-source");
+      const vncIframe = document.getElementById("vnc-iframe");
+      const vncPlaceholder = document.getElementById("vnc-placeholder");
+      const statusDiv = document.getElementById("agent-status");
 
       queryInput.value = "";
       urlInput.value = "";
       queryInput.disabled = false;
       urlInput.disabled = false;
 
-      video.hidden = true;
-      source.src = "";
-      video.load();
+      // Hide VNC viewer
+      vncIframe.style.display = "none";
+      vncPlaceholder.style.display = "flex";
+      vncPlaceholder.innerHTML = `
+        <p>🔄 Browser will appear here when agent starts...</p>
+        <p style="font-size: 14px; color: #999;">You'll see real-time automation happening!</p>
+        <p style="font-size: 12px; color: #ccc; margin-top: 20px;">
+          <strong>Instructions:</strong><br>
+          1. Enter your query and URL above<br>
+          2. Click "Start Live Test"<br>
+          3. Watch the browser automation happen live!
+        </p>
+      `;
 
       document.getElementById("error-message").textContent = "";
-      document.querySelector("#video-container h3").textContent = "Test Video:";
+      document.querySelector("#live-browser-container h3").textContent = "Live Browser Interaction:";
+      statusDiv.textContent = "Ready to start testing...";
+      statusDiv.className = "";
     }
 
     function stopTest() {

From dff3e76903a140635fb46245c4339877c7038e69 Mon Sep 17 00:00:00 2001
From: Mohsin Ali Irfan <mohsin.ali@codeupscale.com>
Date: Mon, 4 Aug 2025 19:37:54 +0500
Subject: [PATCH 27/38] Resolved Path issues, docker issues, and other bugs

---
 .dockerignore                                 |   15 +-
 Dockerfile                                    |   13 +
 docker-compose.yml                            |    5 +
 screenshot.png                                |  Bin 840603 -> 1217138 bytes
 src/agent/main_agent/agent.py                 |   11 +
 src/agent/orchestrator/agent_orchestrator.py  |   31 +-
 src/browser/browser_recorder.py               |   12 +-
 src/browser/custom_context.py                 |   12 +-
 src/browser_use-0.1.48.dist-info/INSTALLER    |    1 +
 src/browser_use-0.1.48.dist-info/METADATA     |  251 ++
 src/browser_use-0.1.48.dist-info/RECORD       |   46 +
 src/browser_use-0.1.48.dist-info/REQUESTED    |    0
 src/browser_use-0.1.48.dist-info/WHEEL        |    4 +
 .../entry_points.txt                          |    3 +
 .../licenses/LICENSE                          |   21 +
 src/browser_use/__init__.py                   |   35 +
 src/browser_use/agent/gif.py                  |  370 +++
 src/browser_use/agent/memory/__init__.py      |    4 +
 src/browser_use/agent/memory/service.py       |  151 ++
 src/browser_use/agent/memory/views.py         |   67 +
 .../agent/message_manager/service.py          |  329 +++
 .../agent/message_manager/utils.py            |  147 ++
 .../agent/message_manager/views.py            |  135 ++
 .../agent/playwright_script_generator.py      |  722 ++++++
 .../agent/playwright_script_helpers.py        |   94 +
 src/browser_use/agent/prompts.py              |  187 ++
 src/browser_use/agent/service.py              | 1505 ++++++++++++
 src/browser_use/agent/system_prompt.md        |   82 +
 src/browser_use/agent/views.py                |  440 ++++
 src/browser_use/browser/browser.py            |  427 ++++
 src/browser_use/browser/chrome.py             |  177 ++
 src/browser_use/browser/context.py            | 2027 +++++++++++++++++
 src/browser_use/browser/dolphin_service.py    |  348 +++
 .../browser/utils/screen_resolution.py        |   41 +
 src/browser_use/browser/views.py              |   54 +
 .../controller/registry/service.py            |  246 ++
 src/browser_use/controller/registry/views.py  |  149 ++
 src/browser_use/controller/service.py         |  874 +++++++
 src/browser_use/controller/views.py           |   91 +
 src/browser_use/dom/__init__.py               |    0
 src/browser_use/dom/buildDomTree.js           | 1412 ++++++++++++
 .../clickable_element_processor/service.py    |   70 +
 .../dom/history_tree_processor/service.py     |  106 +
 .../dom/history_tree_processor/view.py        |   69 +
 src/browser_use/dom/service.py                |  203 ++
 src/browser_use/dom/views.py                  |  265 +++
 src/browser_use/exceptions.py                 |    5 +
 src/browser_use/logging_config.py             |  132 ++
 src/browser_use/telemetry/service.py          |  124 +
 src/browser_use/telemetry/views.py            |   56 +
 src/browser_use/utils.py                      |  345 +++
 src/outputdata/output_data.py                 |   22 +-
 src/webui/components/browser_use_agent_tab.py |   38 +-
 53 files changed, 11959 insertions(+), 15 deletions(-)
 create mode 100644 src/browser_use-0.1.48.dist-info/INSTALLER
 create mode 100644 src/browser_use-0.1.48.dist-info/METADATA
 create mode 100644 src/browser_use-0.1.48.dist-info/RECORD
 create mode 100644 src/browser_use-0.1.48.dist-info/REQUESTED
 create mode 100644 src/browser_use-0.1.48.dist-info/WHEEL
 create mode 100644 src/browser_use-0.1.48.dist-info/entry_points.txt
 create mode 100644 src/browser_use-0.1.48.dist-info/licenses/LICENSE
 create mode 100644 src/browser_use/__init__.py
 create mode 100644 src/browser_use/agent/gif.py
 create mode 100644 src/browser_use/agent/memory/__init__.py
 create mode 100644 src/browser_use/agent/memory/service.py
 create mode 100644 src/browser_use/agent/memory/views.py
 create mode 100644 src/browser_use/agent/message_manager/service.py
 create mode 100644 src/browser_use/agent/message_manager/utils.py
 create mode 100644 src/browser_use/agent/message_manager/views.py
 create mode 100644 src/browser_use/agent/playwright_script_generator.py
 create mode 100644 src/browser_use/agent/playwright_script_helpers.py
 create mode 100644 src/browser_use/agent/prompts.py
 create mode 100644 src/browser_use/agent/service.py
 create mode 100644 src/browser_use/agent/system_prompt.md
 create mode 100644 src/browser_use/agent/views.py
 create mode 100644 src/browser_use/browser/browser.py
 create mode 100644 src/browser_use/browser/chrome.py
 create mode 100644 src/browser_use/browser/context.py
 create mode 100644 src/browser_use/browser/dolphin_service.py
 create mode 100644 src/browser_use/browser/utils/screen_resolution.py
 create mode 100644 src/browser_use/browser/views.py
 create mode 100644 src/browser_use/controller/registry/service.py
 create mode 100644 src/browser_use/controller/registry/views.py
 create mode 100644 src/browser_use/controller/service.py
 create mode 100644 src/browser_use/controller/views.py
 create mode 100644 src/browser_use/dom/__init__.py
 create mode 100644 src/browser_use/dom/buildDomTree.js
 create mode 100644 src/browser_use/dom/clickable_element_processor/service.py
 create mode 100644 src/browser_use/dom/history_tree_processor/service.py
 create mode 100644 src/browser_use/dom/history_tree_processor/view.py
 create mode 100644 src/browser_use/dom/service.py
 create mode 100644 src/browser_use/dom/views.py
 create mode 100644 src/browser_use/exceptions.py
 create mode 100644 src/browser_use/logging_config.py
 create mode 100644 src/browser_use/telemetry/service.py
 create mode 100644 src/browser_use/telemetry/views.py
 create mode 100644 src/browser_use/utils.py

diff --git a/.dockerignore b/.dockerignore
index 140fab3b..9751f4e1 100644
--- a/.dockerignore
+++ b/.dockerignore
@@ -2,4 +2,17 @@ data
 tmp
 results
 
-.env
\ No newline at end of file
+.env
+.venv/
+__pycache__/
+*.pyc
+*.pyo
+*.pyd
+.Python
+*.db
+*.sqlite3
+*.log
+*.mp4
+*.avi
+*.mkv
+*.webm
diff --git a/Dockerfile b/Dockerfile
index b412cd80..9da799ce 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -44,6 +44,16 @@ RUN apt-get update && apt-get install -y \
     fonts-dejavu-core \
     fonts-dejavu-extra \
     vim \
+    # Video recording dependencies
+    ffmpeg \
+    libavcodec-extra \
+    libavformat-dev \
+    libavutil-dev \
+    libswscale-dev \
+    libx264-dev \
+    libx265-dev \
+    libvpx-dev \
+    libwebp-dev \
     && rm -rf /var/lib/apt/lists/*
 
 # Install noVNC
@@ -65,6 +75,9 @@ RUN node -v && npm -v && npx -v
 # Set up working directory
 WORKDIR /app
 
+# Add src directory to Python path for imports
+ENV PYTHONPATH=/app/src:/app
+
 # Copy requirements and install Python dependencies
 COPY requirements.txt .
 
diff --git a/docker-compose.yml b/docker-compose.yml
index c7e3f182..d13852fc 100644
--- a/docker-compose.yml
+++ b/docker-compose.yml
@@ -63,10 +63,15 @@ services:
 
       # VNC Settings
       - VNC_PASSWORD=${VNC_PASSWORD:-youvncpassword}
+      
+      # Python Path Settings
+      - PYTHONPATH=/app/src
 
     volumes:
       - /tmp/.X11-unix:/tmp/.X11-unix
       # - ./my_chrome_data:/app/data/chrome_data # Optional: persist browser data
+      # Mount output directory for saving screenshots, videos, and agent data
+      - ./src/outputdata:/app/src/outputdata
     restart: unless-stopped
     shm_size: '2gb'
     cap_add:
diff --git a/screenshot.png b/screenshot.png
index 8e6aee7521eed8457d3e816de1f2f157d31f15bf..673dd776e6bfa8ca070f2a5f77c956bb56ca8601 100644
GIT binary patch
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diff --git a/src/agent/main_agent/agent.py b/src/agent/main_agent/agent.py
index 2f5bc385..669f9fd0 100644
--- a/src/agent/main_agent/agent.py
+++ b/src/agent/main_agent/agent.py
@@ -92,5 +92,16 @@ def run_main_agent(
     end_time = time.time()
     time_taken = end_time - start_time
     logger.info(f"Completed in {time_taken:.2f}s with {attempt} attempts")
+
+
+
+    logger.info(f"Writing data to file for agent '{agents_name}'")
+    write_data_to_file(
+        agents_name=agents_name,
+        number_of_tries=attempt,
+        time_taken=time_taken,
+        user_input=input_to_prompt,
+        output=output,
+    )
     
     return output
\ No newline at end of file
diff --git a/src/agent/orchestrator/agent_orchestrator.py b/src/agent/orchestrator/agent_orchestrator.py
index 2ad2c900..bdd5b881 100644
--- a/src/agent/orchestrator/agent_orchestrator.py
+++ b/src/agent/orchestrator/agent_orchestrator.py
@@ -180,13 +180,26 @@ def _get_output_value(self, output, key, default=None):
 
     async def take_screenshot(self, state: State) -> State:
 
-        save_path = "screenshot.png"
+        # Paths for local development
+        # save_path = "screenshot.png"
+        
+        # Paths for Dockerized application
+        save_path = "/app/src/outputdata/screenshot.png"
+        
+        # Debug: Print screenshot path info
+        print(f"📸 Screenshot path: {save_path}")
+        print(f"📸 Screenshot directory exists: {os.path.exists(os.path.dirname(save_path))}")
+        print(f"📸 Screenshot directory writable: {os.access(os.path.dirname(save_path), os.W_OK) if os.path.exists(os.path.dirname(save_path)) else 'N/A'}")
+        
         try:
             logger.info("Taking screenshot...")
+            print(f"🌐 Navigating to URL: {self.url}")
+            
             async with async_playwright() as p:
                 browser = await p.chromium.launch(headless=True)
                 page = await browser.new_page()
                 await page.goto(self.url, timeout=60000, wait_until="networkidle")
+                print(f"✅ Page loaded successfully")
                 
                 #await page.evaluate("window.scrollTo(0, document.body.scrollHeight)")
                 await asyncio.sleep(1)
@@ -196,11 +209,19 @@ async def take_screenshot(self, state: State) -> State:
                     await page.mouse.wheel(0, 1000)
                     await asyncio.sleep(1)
 
+                print(f"📸 Taking screenshot and saving to: {save_path}")
                 await page.screenshot(path=save_path, full_page=True)
                 await browser.close()
                 logger.info(f"Screenshot saved at: {save_path}")
                 
-                state["screenshot_taken"] = True
+                # Debug: Verify screenshot was actually saved
+                if os.path.exists(save_path):
+                    file_size = os.path.getsize(save_path)
+                    print(f"✅ Screenshot saved successfully! Size: {file_size} bytes")
+                    state["screenshot_taken"] = True
+                else:
+                    print(f"❌ Screenshot file not found at: {save_path}")
+                    state["screenshot_taken"] = False
         except Exception as e:
             logger.error(f"Error taking screenshot: {e}")
             state["screenshot_taken"] = False
@@ -210,7 +231,11 @@ async def take_screenshot(self, state: State) -> State:
     def get_image_fileId(self, state: State) -> State:
         logger.info("Extracting image file ID...")
         try:
-            with open("screenshot.png", "rb") as image_file:
+            # Paths for local development
+            # with open("screenshot.png", "rb") as image_file:
+            
+            # Paths for Dockerized application
+            with open("/app/src/outputdata/screenshot.png", "rb") as image_file:
                 image_file_id = self.client.files.create(file=image_file, purpose="vision").id
                 logger.info(f"Image file ID extracted: {image_file_id}")
                 state["image_fileId"] = image_file_id
diff --git a/src/browser/browser_recorder.py b/src/browser/browser_recorder.py
index b7bcf559..60149548 100644
--- a/src/browser/browser_recorder.py
+++ b/src/browser/browser_recorder.py
@@ -16,7 +16,17 @@
 class BrowserRecorder:
     def __init__(self):
         # Define video directory
-        self.video_dir = os.path.join(os.getcwd(), "outputdata", "videos")
+        # Paths for local development
+        # self.video_dir = os.path.join(os.getcwd(), "outputdata", "videos")
+        
+        # Paths for Dockerized application
+        self.video_dir = os.path.join("/app", "src", "outputdata", "videos")
+        
+        # Debug: Print video directory info
+        print(f"🎥 Video directory: {self.video_dir}")
+        print(f"🎥 Video directory exists: {os.path.exists(self.video_dir)}")
+        print(f"🎥 Video directory writable: {os.access(self.video_dir, os.W_OK) if os.path.exists(self.video_dir) else 'N/A'}")
+        
         self.context = None
         self.is_recording = False
         self.recorded_videos = []
diff --git a/src/browser/custom_context.py b/src/browser/custom_context.py
index a910effa..0209cd63 100644
--- a/src/browser/custom_context.py
+++ b/src/browser/custom_context.py
@@ -27,7 +27,11 @@ async def _setup_context(self) -> PlaywrightBrowserContext:
         logger.info("\n[DEBUG] Creating new browser context...")
         
         # Create videos directory under src/outputdata
-        video_dir = os.path.join(os.path.dirname(os.path.dirname(__file__)), "outputdata", "videos")
+        # Paths for local development
+        # video_dir = os.path.join(os.path.dirname(os.path.dirname(__file__)), "outputdata", "videos")
+        
+        # Paths for Dockerized application
+        video_dir = os.path.join("/app", "src", "outputdata", "videos")
         os.makedirs(video_dir, exist_ok=True)
         logger.info(f"[DEBUG] Video directory: {video_dir}")
         
@@ -58,7 +62,11 @@ async def _create_context(self, browser: PlaywrightBrowser) -> BrowserContext:
         """Create a new browser context with video recording enabled"""
         logger.info("\n[DEBUG] Creating new browser context...")
         context = await browser.new_context(
-            record_video_dir="outputdata/videos",
+            # Paths for local development
+            # record_video_dir="outputdata/videos",
+            
+            # Paths for Dockerized application
+            record_video_dir="/app/src/outputdata/videos",
             record_video_size={"width": 1280, "height": 720}
         )
         logger.info("[DEBUG] Context created with video recording settings")
diff --git a/src/browser_use-0.1.48.dist-info/INSTALLER b/src/browser_use-0.1.48.dist-info/INSTALLER
new file mode 100644
index 00000000..5c69047b
--- /dev/null
+++ b/src/browser_use-0.1.48.dist-info/INSTALLER
@@ -0,0 +1 @@
+uv
\ No newline at end of file
diff --git a/src/browser_use-0.1.48.dist-info/METADATA b/src/browser_use-0.1.48.dist-info/METADATA
new file mode 100644
index 00000000..fb51183f
--- /dev/null
+++ b/src/browser_use-0.1.48.dist-info/METADATA
@@ -0,0 +1,251 @@
+Metadata-Version: 2.4
+Name: browser-use
+Version: 0.1.48
+Summary: Make websites accessible for AI agents
+Project-URL: Repository, https://github.com/browser-use/browser-use
+Author: Gregor Zunic
+License-File: LICENSE
+Classifier: License :: OSI Approved :: MIT License
+Classifier: Operating System :: OS Independent
+Classifier: Programming Language :: Python :: 3
+Requires-Python: <4.0,>=3.11
+Requires-Dist: anyio>=4.9.0
+Requires-Dist: faiss-cpu>=1.9.0
+Requires-Dist: google-api-core>=2.24.0
+Requires-Dist: httpx>=0.27.2
+Requires-Dist: langchain-anthropic==0.3.3
+Requires-Dist: langchain-aws>=0.2.11
+Requires-Dist: langchain-core==0.3.49
+Requires-Dist: langchain-deepseek>=0.1.3
+Requires-Dist: langchain-google-genai==2.1.2
+Requires-Dist: langchain-ollama==0.3.0
+Requires-Dist: langchain-openai==0.3.11
+Requires-Dist: langchain>=0.3.21
+Requires-Dist: markdownify==1.1.0
+Requires-Dist: mem0ai==0.1.93
+Requires-Dist: playwright>=1.52.0
+Requires-Dist: posthog>=3.7.0
+Requires-Dist: psutil>=7.0.0
+Requires-Dist: pydantic<2.11.0,>=2.10.4
+Requires-Dist: pyobjc>=11.0; platform_system == 'darwin'
+Requires-Dist: pyperclip>=1.9.0
+Requires-Dist: python-dotenv>=1.0.1
+Requires-Dist: requests>=2.32.3
+Requires-Dist: screeninfo>=0.8.1; platform_system != 'darwin'
+Requires-Dist: typing-extensions>=4.12.2
+Provides-Extra: all
+Requires-Dist: botocore>=1.37.23; extra == 'all'
+Requires-Dist: click>=8.1.8; extra == 'all'
+Requires-Dist: rich>=14.0.0; extra == 'all'
+Requires-Dist: sentence-transformers>=4.0.2; extra == 'all'
+Requires-Dist: textual>=3.2.0; extra == 'all'
+Provides-Extra: cli
+Requires-Dist: click>=8.1.8; extra == 'cli'
+Requires-Dist: rich>=14.0.0; extra == 'cli'
+Requires-Dist: textual>=3.2.0; extra == 'cli'
+Provides-Extra: examples
+Requires-Dist: botocore>=1.37.23; extra == 'examples'
+Provides-Extra: memory
+Requires-Dist: sentence-transformers>=4.0.2; extra == 'memory'
+Description-Content-Type: text/markdown
+
+<picture>
+  <source media="(prefers-color-scheme: dark)" srcset="./static/browser-use-dark.png">
+  <source media="(prefers-color-scheme: light)" srcset="./static/browser-use.png">
+  <img alt="Shows a black Browser Use Logo in light color mode and a white one in dark color mode." src="./static/browser-use.png"  width="full">
+</picture>
+
+<h1 align="center">Enable AI to control your browser 🤖</h1>
+
+[![GitHub stars](https://img.shields.io/github/stars/gregpr07/browser-use?style=social)](https://github.com/gregpr07/browser-use/stargazers)
+[![Discord](https://img.shields.io/discord/1303749220842340412?color=7289DA&label=Discord&logo=discord&logoColor=white)](https://link.browser-use.com/discord)
+[![Cloud](https://img.shields.io/badge/Cloud-☁️-blue)](https://cloud.browser-use.com)
+[![Documentation](https://img.shields.io/badge/Documentation-📕-blue)](https://docs.browser-use.com)
+[![Twitter Follow](https://img.shields.io/twitter/follow/Gregor?style=social)](https://x.com/gregpr07)
+[![Twitter Follow](https://img.shields.io/twitter/follow/Magnus?style=social)](https://x.com/mamagnus00)
+[![Weave Badge](https://img.shields.io/endpoint?url=https%3A%2F%2Fapp.workweave.ai%2Fapi%2Frepository%2Fbadge%2Forg_T5Pvn3UBswTHIsN1dWS3voPg%2F881458615&labelColor=#EC6341)](https://app.workweave.ai/reports/repository/org_T5Pvn3UBswTHIsN1dWS3voPg/881458615)
+
+🌐 Browser-use is the easiest way to connect your AI agents with the browser.
+
+💡 See what others are building and share your projects in our [Discord](https://link.browser-use.com/discord)! Want Swag? Check out our [Merch store](https://browsermerch.com).
+
+🌤️ Skip the setup - try our <b>hosted version</b> for instant browser automation! <b>[Try the cloud ☁︎](https://cloud.browser-use.com)</b>.
+
+# Quick start
+
+With pip (Python>=3.11):
+
+```bash
+pip install browser-use
+```
+
+For memory functionality (requires Python<3.13 due to PyTorch compatibility):  
+
+```bash
+pip install "browser-use[memory]"
+```
+
+Install the browser:
+```bash
+playwright install chromium --with-deps --no-shell
+```
+
+Spin up your agent:
+
+```python
+import asyncio
+from dotenv import load_dotenv
+load_dotenv()
+from browser_use import Agent
+from langchain_openai import ChatOpenAI
+
+async def main():
+    agent = Agent(
+        task="Compare the price of gpt-4o and DeepSeek-V3",
+        llm=ChatOpenAI(model="gpt-4o"),
+    )
+    await agent.run()
+
+asyncio.run(main())
+```
+
+Add your API keys for the provider you want to use to your `.env` file.
+
+```bash
+OPENAI_API_KEY=
+ANTHROPIC_API_KEY=
+AZURE_OPENAI_ENDPOINT=
+AZURE_OPENAI_KEY=
+GOOGLE_API_KEY=
+DEEPSEEK_API_KEY=
+GROK_API_KEY=
+NOVITA_API_KEY=
+```
+
+For other settings, models, and more, check out the [documentation 📕](https://docs.browser-use.com).
+
+### Test with UI
+
+You can test browser-use using its [Web UI](https://github.com/browser-use/web-ui) or [Desktop App](https://github.com/browser-use/desktop).
+
+### Test with an interactive CLI
+
+You can also use our `browser-use` interactive CLI (similar to `claude` code):
+
+```bash
+pip install browser-use[cli]
+browser-use
+```
+
+# Demos
+
+<br/><br/>
+
+[Task](https://github.com/browser-use/browser-use/blob/main/examples/use-cases/shopping.py): Add grocery items to cart, and checkout.
+
+[![AI Did My Groceries](https://github.com/user-attachments/assets/a0ffd23d-9a11-4368-8893-b092703abc14)](https://www.youtube.com/watch?v=L2Ya9PYNns8)
+
+<br/><br/>
+
+Prompt: Add my latest LinkedIn follower to my leads in Salesforce.
+
+![LinkedIn to Salesforce](https://github.com/user-attachments/assets/50d6e691-b66b-4077-a46c-49e9d4707e07)
+
+<br/><br/>
+
+[Prompt](https://github.com/browser-use/browser-use/blob/main/examples/use-cases/find_and_apply_to_jobs.py): Read my CV & find ML jobs, save them to a file, and then start applying for them in new tabs, if you need help, ask me.'
+
+https://github.com/user-attachments/assets/171fb4d6-0355-46f2-863e-edb04a828d04
+
+<br/><br/>
+
+[Prompt](https://github.com/browser-use/browser-use/blob/main/examples/browser/real_browser.py): Write a letter in Google Docs to my Papa, thanking him for everything, and save the document as a PDF.
+
+![Letter to Papa](https://github.com/user-attachments/assets/242ade3e-15bc-41c2-988f-cbc5415a66aa)
+
+<br/><br/>
+
+[Prompt](https://github.com/browser-use/browser-use/blob/main/examples/custom-functions/save_to_file_hugging_face.py): Look up models with a license of cc-by-sa-4.0 and sort by most likes on Hugging face, save top 5 to file.
+
+https://github.com/user-attachments/assets/de73ee39-432c-4b97-b4e8-939fd7f323b3
+
+<br/><br/>
+
+## More examples
+
+For more examples see the [examples](examples) folder or join the [Discord](https://link.browser-use.com/discord) and show off your project. You can also see our [`awesome-prompts`](https://github.com/browser-use/awesome-prompts) repo for prompting inspiration.
+
+# Vision
+
+Tell your computer what to do, and it gets it done.
+
+## Roadmap
+
+### Agent
+
+- [ ] Improve agent memory to handle +100 steps
+- [ ] Enhance planning capabilities (load website specific context)
+- [ ] Reduce token consumption (system prompt, DOM state)
+
+### DOM Extraction
+
+- [ ] Enable detection for all possible UI elements
+- [ ] Improve state representation for UI elements so that all LLMs can understand what's on the page
+
+### Workflows
+
+- [ ] Let user record a workflow - which we can rerun with browser-use as a fallback
+- [ ] Make rerunning of workflows work, even if pages change
+
+### User Experience
+
+- [ ] Create various templates for tutorial execution, job application, QA testing, social media, etc. which users can just copy & paste.
+- [ ] Improve docs
+- [ ] Make it faster
+
+### Parallelization
+
+- [ ] Human work is sequential. The real power of a browser agent comes into reality if we can parallelize similar tasks. For example, if you want to find contact information for 100 companies, this can all be done in parallel and reported back to a main agent, which processes the results and kicks off parallel subtasks again.
+
+
+## Contributing
+
+We love contributions! Feel free to open issues for bugs or feature requests. To contribute to the docs, check out the `/docs` folder.
+
+## Local Setup
+
+To learn more about the library, check out the [local setup 📕](https://docs.browser-use.com/development/local-setup).
+
+
+`main` is the primary development branch with frequent changes. For production use, install a stable [versioned release](https://github.com/browser-use/browser-use/releases) instead.
+
+---
+
+## Swag
+
+Want to show off your Browser-use swag? Check out our [Merch store](https://browsermerch.com). Good contributors will receive swag for free 👀.
+
+## Citation
+
+If you use Browser Use in your research or project, please cite:
+
+```bibtex
+@software{browser_use2024,
+  author = {Müller, Magnus and Žunič, Gregor},
+  title = {Browser Use: Enable AI to control your browser},
+  year = {2024},
+  publisher = {GitHub},
+  url = {https://github.com/browser-use/browser-use}
+}
+```
+
+ <div align="center"> <img src="https://github.com/user-attachments/assets/06fa3078-8461-4560-b434-445510c1766f" width="400"/> 
+ 
+[![Twitter Follow](https://img.shields.io/twitter/follow/Gregor?style=social)](https://x.com/gregpr07)
+[![Twitter Follow](https://img.shields.io/twitter/follow/Magnus?style=social)](https://x.com/mamagnus00)
+ 
+ </div>
+
+<div align="center">
+Made with ❤️ in Zurich and San Francisco
+ </div>
diff --git a/src/browser_use-0.1.48.dist-info/RECORD b/src/browser_use-0.1.48.dist-info/RECORD
new file mode 100644
index 00000000..ad864a62
--- /dev/null
+++ b/src/browser_use-0.1.48.dist-info/RECORD
@@ -0,0 +1,46 @@
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+browser_use/telemetry/views.py,sha256=yQmEY0-CkyAQLoUChsx4U-RvK_OrDzYJF-FRf9V1NHA,1196
+browser_use/utils.py,sha256=ZMxarI-QBznYNNv050wPwWhZOyukEh2WzFOezwZRB-s,11853
diff --git a/src/browser_use-0.1.48.dist-info/REQUESTED b/src/browser_use-0.1.48.dist-info/REQUESTED
new file mode 100644
index 00000000..e69de29b
diff --git a/src/browser_use-0.1.48.dist-info/WHEEL b/src/browser_use-0.1.48.dist-info/WHEEL
new file mode 100644
index 00000000..12228d41
--- /dev/null
+++ b/src/browser_use-0.1.48.dist-info/WHEEL
@@ -0,0 +1,4 @@
+Wheel-Version: 1.0
+Generator: hatchling 1.27.0
+Root-Is-Purelib: true
+Tag: py3-none-any
diff --git a/src/browser_use-0.1.48.dist-info/entry_points.txt b/src/browser_use-0.1.48.dist-info/entry_points.txt
new file mode 100644
index 00000000..f080374b
--- /dev/null
+++ b/src/browser_use-0.1.48.dist-info/entry_points.txt
@@ -0,0 +1,3 @@
+[console_scripts]
+browser-use = browser_use.cli:main
+browseruse = browser_use.cli:main
diff --git a/src/browser_use-0.1.48.dist-info/licenses/LICENSE b/src/browser_use-0.1.48.dist-info/licenses/LICENSE
new file mode 100644
index 00000000..1ea3836c
--- /dev/null
+++ b/src/browser_use-0.1.48.dist-info/licenses/LICENSE
@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) 2024 Gregor Zunic
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
diff --git a/src/browser_use/__init__.py b/src/browser_use/__init__.py
new file mode 100644
index 00000000..06b3d391
--- /dev/null
+++ b/src/browser_use/__init__.py
@@ -0,0 +1,35 @@
+import warnings
+
+# Suppress specific deprecation warnings from FAISS
+warnings.filterwarnings('ignore', category=DeprecationWarning, module='faiss.loader')
+warnings.filterwarnings('ignore', message='builtin type SwigPyPacked has no __module__ attribute')
+warnings.filterwarnings('ignore', message='builtin type SwigPyObject has no __module__ attribute')
+warnings.filterwarnings('ignore', message='builtin type swigvarlink has no __module__ attribute')
+
+from browser_use.logging_config import setup_logging
+
+setup_logging()
+
+from browser_use.agent.prompts import SystemPrompt as SystemPrompt
+from browser_use.agent.service import Agent as Agent
+from browser_use.agent.views import ActionModel as ActionModel
+from browser_use.agent.views import ActionResult as ActionResult
+from browser_use.agent.views import AgentHistoryList as AgentHistoryList
+from browser_use.browser.browser import Browser as Browser
+from browser_use.browser.browser import BrowserConfig as BrowserConfig
+from browser_use.browser.context import BrowserContextConfig
+from browser_use.controller.service import Controller as Controller
+from browser_use.dom.service import DomService as DomService
+
+__all__ = [
+	'Agent',
+	'Browser',
+	'BrowserConfig',
+	'Controller',
+	'DomService',
+	'SystemPrompt',
+	'ActionResult',
+	'ActionModel',
+	'AgentHistoryList',
+	'BrowserContextConfig',
+]
diff --git a/src/browser_use/agent/gif.py b/src/browser_use/agent/gif.py
new file mode 100644
index 00000000..c83aa30c
--- /dev/null
+++ b/src/browser_use/agent/gif.py
@@ -0,0 +1,370 @@
+from __future__ import annotations
+
+import base64
+import io
+import logging
+import os
+import platform
+from typing import TYPE_CHECKING
+
+from browser_use.agent.views import AgentHistoryList
+
+if TYPE_CHECKING:
+	from PIL import Image, ImageFont
+
+logger = logging.getLogger(__name__)
+
+
+def decode_unicode_escapes_to_utf8(text: str) -> str:
+	"""Handle decoding any unicode escape sequences embedded in a string (needed to render non-ASCII languages like chinese or arabic in the GIF overlay text)"""
+
+	if r'\u' not in text:
+		# doesn't have any escape sequences that need to be decoded
+		return text
+
+	try:
+		# Try to decode Unicode escape sequences
+		return text.encode('latin1').decode('unicode_escape')
+	except (UnicodeEncodeError, UnicodeDecodeError):
+		# logger.debug(f"Failed to decode unicode escape sequences while generating gif text: {text}")
+		return text
+
+
+def create_history_gif(
+	task: str,
+	history: AgentHistoryList,
+	#
+	output_path: str = 'agent_history.gif',
+	duration: int = 3000,
+	show_goals: bool = True,
+	show_task: bool = True,
+	show_logo: bool = False,
+	font_size: int = 40,
+	title_font_size: int = 56,
+	goal_font_size: int = 44,
+	margin: int = 40,
+	line_spacing: float = 1.5,
+) -> None:
+	"""Create a GIF from the agent's history with overlaid task and goal text."""
+	if not history.history:
+		logger.warning('No history to create GIF from')
+		return
+
+	from PIL import Image, ImageFont
+
+	images = []
+
+	# if history is empty or first screenshot is None, we can't create a gif
+	if not history.history or not history.history[0].state.screenshot:
+		logger.warning('No history or first screenshot to create GIF from')
+		return
+
+	# Try to load nicer fonts
+	try:
+		# Try different font options in order of preference
+		# ArialUni is a font that comes with Office and can render most non-alphabet characters
+		font_options = [
+			'Microsoft YaHei',  # 微软雅黑
+			'SimHei',  # 黑体
+			'SimSun',  # 宋体
+			'Noto Sans CJK SC',  # 思源黑体
+			'WenQuanYi Micro Hei',  # 文泉驿微米黑
+			'Helvetica',
+			'Arial',
+			'DejaVuSans',
+			'Verdana',
+		]
+		font_loaded = False
+
+		for font_name in font_options:
+			try:
+				if platform.system() == 'Windows':
+					# Need to specify the abs font path on Windows
+					font_name = os.path.join(os.getenv('WIN_FONT_DIR', 'C:\\Windows\\Fonts'), font_name + '.ttf')
+				regular_font = ImageFont.truetype(font_name, font_size)
+				title_font = ImageFont.truetype(font_name, title_font_size)
+				goal_font = ImageFont.truetype(font_name, goal_font_size)
+				font_loaded = True
+				break
+			except OSError:
+				continue
+
+		if not font_loaded:
+			raise OSError('No preferred fonts found')
+
+	except OSError:
+		regular_font = ImageFont.load_default()
+		title_font = ImageFont.load_default()
+
+		goal_font = regular_font
+
+	# Load logo if requested
+	logo = None
+	if show_logo:
+		try:
+			logo = Image.open('./static/browser-use.png')
+			# Resize logo to be small (e.g., 40px height)
+			logo_height = 150
+			aspect_ratio = logo.width / logo.height
+			logo_width = int(logo_height * aspect_ratio)
+			logo = logo.resize((logo_width, logo_height), Image.Resampling.LANCZOS)
+		except Exception as e:
+			logger.warning(f'Could not load logo: {e}')
+
+	# Create task frame if requested
+	if show_task and task:
+		task_frame = _create_task_frame(
+			task,
+			history.history[0].state.screenshot,
+			title_font,  # type: ignore
+			regular_font,  # type: ignore
+			logo,
+			line_spacing,
+		)
+		images.append(task_frame)
+
+	# Process each history item
+	for i, item in enumerate(history.history, 1):
+		if not item.state.screenshot:
+			continue
+
+		# Convert base64 screenshot to PIL Image
+		img_data = base64.b64decode(item.state.screenshot)
+		image = Image.open(io.BytesIO(img_data))
+
+		if show_goals and item.model_output:
+			image = _add_overlay_to_image(
+				image=image,
+				step_number=i,
+				goal_text=item.model_output.current_state.next_goal,
+				regular_font=regular_font,  # type: ignore
+				title_font=title_font,  # type: ignore
+				margin=margin,
+				logo=logo,
+			)
+
+		images.append(image)
+
+	if images:
+		# Save the GIF
+		images[0].save(
+			output_path,
+			save_all=True,
+			append_images=images[1:],
+			duration=duration,
+			loop=0,
+			optimize=False,
+		)
+		logger.info(f'Created GIF at {output_path}')
+	else:
+		logger.warning('No images found in history to create GIF')
+
+
+def _create_task_frame(
+	task: str,
+	first_screenshot: str,
+	title_font: ImageFont.FreeTypeFont,
+	regular_font: ImageFont.FreeTypeFont,
+	logo: Image.Image | None = None,
+	line_spacing: float = 1.5,
+) -> Image.Image:
+	"""Create initial frame showing the task."""
+	from PIL import Image, ImageDraw, ImageFont
+
+	img_data = base64.b64decode(first_screenshot)
+	template = Image.open(io.BytesIO(img_data))
+	image = Image.new('RGB', template.size, (0, 0, 0))
+	draw = ImageDraw.Draw(image)
+
+	# Calculate vertical center of image
+	center_y = image.height // 2
+
+	# Draw task text with dynamic font size based on task length
+	margin = 140  # Increased margin
+	max_width = image.width - (2 * margin)
+
+	# Dynamic font size calculation based on task length
+	# Start with base font size (regular + 16)
+	base_font_size = regular_font.size + 16
+	min_font_size = max(regular_font.size - 10, 16)  # Don't go below 16pt
+	max_font_size = base_font_size  # Cap at the base font size
+
+	# Calculate dynamic font size based on text length and complexity
+	# Longer texts get progressively smaller fonts
+	text_length = len(task)
+	if text_length > 200:
+		# For very long text, reduce font size logarithmically
+		font_size = max(base_font_size - int(10 * (text_length / 200)), min_font_size)
+	else:
+		font_size = base_font_size
+
+	larger_font = ImageFont.truetype(regular_font.path, font_size)
+
+	# Generate wrapped text with the calculated font size
+	wrapped_text = _wrap_text(task, larger_font, max_width)
+
+	# Calculate line height with spacing
+	line_height = larger_font.size * line_spacing
+
+	# Split text into lines and draw with custom spacing
+	lines = wrapped_text.split('\n')
+	total_height = line_height * len(lines)
+
+	# Start position for first line
+	text_y = center_y - (total_height / 2) + 50  # Shifted down slightly
+
+	for line in lines:
+		# Get line width for centering
+		line_bbox = draw.textbbox((0, 0), line, font=larger_font)
+		text_x = (image.width - (line_bbox[2] - line_bbox[0])) // 2
+
+		draw.text(
+			(text_x, text_y),
+			line,
+			font=larger_font,
+			fill=(255, 255, 255),
+		)
+		text_y += line_height
+
+	# Add logo if provided (top right corner)
+	if logo:
+		logo_margin = 20
+		logo_x = image.width - logo.width - logo_margin
+		image.paste(logo, (logo_x, logo_margin), logo if logo.mode == 'RGBA' else None)
+
+	return image
+
+
+def _add_overlay_to_image(
+	image: Image.Image,
+	step_number: int,
+	goal_text: str,
+	regular_font: ImageFont.FreeTypeFont,
+	title_font: ImageFont.FreeTypeFont,
+	margin: int,
+	logo: Image.Image | None = None,
+	display_step: bool = True,
+	text_color: tuple[int, int, int, int] = (255, 255, 255, 255),
+	text_box_color: tuple[int, int, int, int] = (0, 0, 0, 255),
+) -> Image.Image:
+	"""Add step number and goal overlay to an image."""
+
+	from PIL import Image, ImageDraw
+
+	goal_text = decode_unicode_escapes_to_utf8(goal_text)
+	image = image.convert('RGBA')
+	txt_layer = Image.new('RGBA', image.size, (0, 0, 0, 0))
+	draw = ImageDraw.Draw(txt_layer)
+	if display_step:
+		# Add step number (bottom left)
+		step_text = str(step_number)
+		step_bbox = draw.textbbox((0, 0), step_text, font=title_font)
+		step_width = step_bbox[2] - step_bbox[0]
+		step_height = step_bbox[3] - step_bbox[1]
+
+		# Position step number in bottom left
+		x_step = margin + 10  # Slight additional offset from edge
+		y_step = image.height - margin - step_height - 10  # Slight offset from bottom
+
+		# Draw rounded rectangle background for step number
+		padding = 20  # Increased padding
+		step_bg_bbox = (
+			x_step - padding,
+			y_step - padding,
+			x_step + step_width + padding,
+			y_step + step_height + padding,
+		)
+		draw.rounded_rectangle(
+			step_bg_bbox,
+			radius=15,  # Add rounded corners
+			fill=text_box_color,
+		)
+
+		# Draw step number
+		draw.text(
+			(x_step, y_step),
+			step_text,
+			font=title_font,
+			fill=text_color,
+		)
+
+	# Draw goal text (centered, bottom)
+	max_width = image.width - (4 * margin)
+	wrapped_goal = _wrap_text(goal_text, title_font, max_width)
+	goal_bbox = draw.multiline_textbbox((0, 0), wrapped_goal, font=title_font)
+	goal_width = goal_bbox[2] - goal_bbox[0]
+	goal_height = goal_bbox[3] - goal_bbox[1]
+
+	# Center goal text horizontally, place above step number
+	x_goal = (image.width - goal_width) // 2
+	y_goal = y_step - goal_height - padding * 4  # More space between step and goal
+
+	# Draw rounded rectangle background for goal
+	padding_goal = 25  # Increased padding for goal
+	goal_bg_bbox = (
+		x_goal - padding_goal,  # Remove extra space for logo
+		y_goal - padding_goal,
+		x_goal + goal_width + padding_goal,
+		y_goal + goal_height + padding_goal,
+	)
+	draw.rounded_rectangle(
+		goal_bg_bbox,
+		radius=15,  # Add rounded corners
+		fill=text_box_color,
+	)
+
+	# Draw goal text
+	draw.multiline_text(
+		(x_goal, y_goal),
+		wrapped_goal,
+		font=title_font,
+		fill=text_color,
+		align='center',
+	)
+
+	# Add logo if provided (top right corner)
+	if logo:
+		logo_layer = Image.new('RGBA', image.size, (0, 0, 0, 0))
+		logo_margin = 20
+		logo_x = image.width - logo.width - logo_margin
+		logo_layer.paste(logo, (logo_x, logo_margin), logo if logo.mode == 'RGBA' else None)
+		txt_layer = Image.alpha_composite(logo_layer, txt_layer)
+
+	# Composite and convert
+	result = Image.alpha_composite(image, txt_layer)
+	return result.convert('RGB')
+
+
+def _wrap_text(text: str, font: ImageFont.FreeTypeFont, max_width: int) -> str:
+	"""
+	Wrap text to fit within a given width.
+
+	Args:
+	    text: Text to wrap
+	    font: Font to use for text
+	    max_width: Maximum width in pixels
+
+	Returns:
+	    Wrapped text with newlines
+	"""
+	text = decode_unicode_escapes_to_utf8(text)
+	words = text.split()
+	lines = []
+	current_line = []
+
+	for word in words:
+		current_line.append(word)
+		line = ' '.join(current_line)
+		bbox = font.getbbox(line)
+		if bbox[2] > max_width:
+			if len(current_line) == 1:
+				lines.append(current_line.pop())
+			else:
+				current_line.pop()
+				lines.append(' '.join(current_line))
+				current_line = [word]
+
+	if current_line:
+		lines.append(' '.join(current_line))
+
+	return '\n'.join(lines)
diff --git a/src/browser_use/agent/memory/__init__.py b/src/browser_use/agent/memory/__init__.py
new file mode 100644
index 00000000..dbb09157
--- /dev/null
+++ b/src/browser_use/agent/memory/__init__.py
@@ -0,0 +1,4 @@
+from browser_use.agent.memory.service import Memory
+from browser_use.agent.memory.views import MemoryConfig
+
+__all__ = ['Memory', 'MemoryConfig']
diff --git a/src/browser_use/agent/memory/service.py b/src/browser_use/agent/memory/service.py
new file mode 100644
index 00000000..cb5d41dc
--- /dev/null
+++ b/src/browser_use/agent/memory/service.py
@@ -0,0 +1,151 @@
+from __future__ import annotations
+
+import logging
+import os
+
+from langchain_core.language_models.chat_models import BaseChatModel
+from langchain_core.messages import (
+	BaseMessage,
+	HumanMessage,
+)
+from langchain_core.messages.utils import convert_to_openai_messages
+
+from browser_use.agent.memory.views import MemoryConfig
+from browser_use.agent.message_manager.service import MessageManager
+from browser_use.agent.message_manager.views import ManagedMessage, MessageMetadata
+from browser_use.utils import time_execution_sync
+
+logger = logging.getLogger(__name__)
+
+
+class Memory:
+	"""
+	Manages procedural memory for agents.
+
+	This class implements a procedural memory management system using Mem0 that transforms agent interaction history
+	into concise, structured representations at specified intervals. It serves to optimize context window
+	utilization during extended task execution by converting verbose historical information into compact,
+	yet comprehensive memory constructs that preserve essential operational knowledge.
+	"""
+
+	def __init__(
+		self,
+		message_manager: MessageManager,
+		llm: BaseChatModel,
+		config: MemoryConfig | None = None,
+	):
+		self.message_manager = message_manager
+		self.llm = llm
+
+		# Initialize configuration with defaults based on the LLM if not provided
+		if config is None:
+			self.config = MemoryConfig(llm_instance=llm, agent_id=f'agent_{id(self)}')
+
+			# Set appropriate embedder based on LLM type
+			llm_class = llm.__class__.__name__
+			if llm_class == 'ChatOpenAI':
+				self.config.embedder_provider = 'openai'
+				self.config.embedder_model = 'text-embedding-3-small'
+				self.config.embedder_dims = 1536
+			elif llm_class == 'ChatGoogleGenerativeAI':
+				self.config.embedder_provider = 'gemini'
+				self.config.embedder_model = 'models/text-embedding-004'
+				self.config.embedder_dims = 768
+			elif llm_class == 'ChatOllama':
+				self.config.embedder_provider = 'ollama'
+				self.config.embedder_model = 'nomic-embed-text'
+				self.config.embedder_dims = 512
+		else:
+			# Ensure LLM instance is set in the config
+			self.config = MemoryConfig(config)  # re-validate user-provided config
+			self.config.llm_instance = llm
+
+		# Check for required packages
+		try:
+			# also disable mem0's telemetry when ANONYMIZED_TELEMETRY=False
+			if os.getenv('ANONYMIZED_TELEMETRY', 'true').lower()[0] in 'fn0':
+				os.environ['MEM0_TELEMETRY'] = 'False'
+			from mem0 import Memory as Mem0Memory
+		except ImportError:
+			raise ImportError('mem0 is required when enable_memory=True. Please install it with `pip install mem0`.')
+
+		if self.config.embedder_provider == 'huggingface':
+			try:
+				# check that required package is installed if huggingface is used
+				from sentence_transformers import SentenceTransformer  # noqa: F401
+			except ImportError:
+				raise ImportError(
+					'sentence_transformers is required when enable_memory=True and embedder_provider="huggingface". Please install it with `pip install sentence-transformers`.'
+				)
+
+		# Initialize Mem0 with the configuration
+		self.mem0 = Mem0Memory.from_config(config_dict=self.config.full_config_dict)
+
+	@time_execution_sync('--create_procedural_memory')
+	def create_procedural_memory(self, current_step: int) -> None:
+		"""
+		Create a procedural memory if needed based on the current step.
+
+		Args:
+		    current_step: The current step number of the agent
+		"""
+		logger.info(f'Creating procedural memory at step {current_step}')
+
+		# Get all messages
+		all_messages = self.message_manager.state.history.messages
+
+		# Separate messages into those to keep as-is and those to process for memory
+		new_messages = []
+		messages_to_process = []
+
+		for msg in all_messages:
+			if isinstance(msg, ManagedMessage) and msg.metadata.message_type in {'init', 'memory'}:
+				# Keep system and memory messages as they are
+				new_messages.append(msg)
+			else:
+				if len(msg.message.content) > 0:
+					messages_to_process.append(msg)
+
+		# Need at least 2 messages to create a meaningful summary
+		if len(messages_to_process) <= 1:
+			logger.info('Not enough non-memory messages to summarize')
+			return
+		# Create a procedural memory
+		memory_content = self._create([m.message for m in messages_to_process], current_step)
+
+		if not memory_content:
+			logger.warning('Failed to create procedural memory')
+			return
+
+		# Replace the processed messages with the consolidated memory
+		memory_message = HumanMessage(content=memory_content)
+		memory_tokens = self.message_manager._count_tokens(memory_message)
+		memory_metadata = MessageMetadata(tokens=memory_tokens, message_type='memory')
+
+		# Calculate the total tokens being removed
+		removed_tokens = sum(m.metadata.tokens for m in messages_to_process)
+
+		# Add the memory message
+		new_messages.append(ManagedMessage(message=memory_message, metadata=memory_metadata))
+
+		# Update the history
+		self.message_manager.state.history.messages = new_messages
+		self.message_manager.state.history.current_tokens -= removed_tokens
+		self.message_manager.state.history.current_tokens += memory_tokens
+		logger.info(f'Messages consolidated: {len(messages_to_process)} messages converted to procedural memory')
+
+	def _create(self, messages: list[BaseMessage], current_step: int) -> str | None:
+		parsed_messages = convert_to_openai_messages(messages)
+		try:
+			results = self.mem0.add(
+				messages=parsed_messages,
+				agent_id=self.config.agent_id,
+				memory_type='procedural_memory',
+				metadata={'step': current_step},
+			)
+			if len(results.get('results', [])):
+				return results.get('results', [])[0].get('memory')
+			return None
+		except Exception as e:
+			logger.error(f'Error creating procedural memory: {e}')
+			return None
diff --git a/src/browser_use/agent/memory/views.py b/src/browser_use/agent/memory/views.py
new file mode 100644
index 00000000..fd1b3cb3
--- /dev/null
+++ b/src/browser_use/agent/memory/views.py
@@ -0,0 +1,67 @@
+from typing import Any, Literal
+
+from langchain_core.language_models.chat_models import BaseChatModel
+from pydantic import BaseModel, ConfigDict, Field
+
+
+class MemoryConfig(BaseModel):
+	"""Configuration for procedural memory."""
+
+	model_config = ConfigDict(
+		from_attributes=True, validate_default=True, revalidate_instances='always', validate_assignment=True
+	)
+
+	# Memory settings
+	agent_id: str = Field(default='browser_use_agent', min_length=1)
+	memory_interval: int = Field(default=10, gt=1, lt=100)
+
+	# Embedder settings
+	embedder_provider: Literal['openai', 'gemini', 'ollama', 'huggingface'] = 'huggingface'
+	embedder_model: str = Field(min_length=2, default='all-MiniLM-L6-v2')
+	embedder_dims: int = Field(default=384, gt=10, lt=10000)
+
+	# LLM settings - the LLM instance can be passed separately
+	llm_provider: Literal['langchain'] = 'langchain'
+	llm_instance: BaseChatModel | None = None
+
+	# Vector store settings
+	vector_store_provider: Literal['faiss'] = 'faiss'
+	vector_store_base_path: str = Field(default='/tmp/mem0')
+
+	@property
+	def vector_store_path(self) -> str:
+		"""Returns the full vector store path for the current configuration. e.g. /tmp/mem0_384_faiss"""
+		return f'{self.vector_store_base_path}_{self.embedder_dims}_{self.vector_store_provider}'
+
+	@property
+	def embedder_config_dict(self) -> dict[str, Any]:
+		"""Returns the embedder configuration dictionary."""
+		return {
+			'provider': self.embedder_provider,
+			'config': {'model': self.embedder_model, 'embedding_dims': self.embedder_dims},
+		}
+
+	@property
+	def llm_config_dict(self) -> dict[str, Any]:
+		"""Returns the LLM configuration dictionary."""
+		return {'provider': self.llm_provider, 'config': {'model': self.llm_instance}}
+
+	@property
+	def vector_store_config_dict(self) -> dict[str, Any]:
+		"""Returns the vector store configuration dictionary."""
+		return {
+			'provider': self.vector_store_provider,
+			'config': {
+				'embedding_model_dims': self.embedder_dims,
+				'path': self.vector_store_path,
+			},
+		}
+
+	@property
+	def full_config_dict(self) -> dict[str, dict[str, Any]]:
+		"""Returns the complete configuration dictionary for Mem0."""
+		return {
+			'embedder': self.embedder_config_dict,
+			'llm': self.llm_config_dict,
+			'vector_store': self.vector_store_config_dict,
+		}
diff --git a/src/browser_use/agent/message_manager/service.py b/src/browser_use/agent/message_manager/service.py
new file mode 100644
index 00000000..5307c39d
--- /dev/null
+++ b/src/browser_use/agent/message_manager/service.py
@@ -0,0 +1,329 @@
+from __future__ import annotations
+
+import logging
+
+from langchain_core.messages import (
+	AIMessage,
+	BaseMessage,
+	HumanMessage,
+	SystemMessage,
+	ToolMessage,
+)
+from pydantic import BaseModel
+
+from browser_use.agent.message_manager.views import MessageMetadata
+from browser_use.agent.prompts import AgentMessagePrompt
+from browser_use.agent.views import ActionResult, AgentOutput, AgentStepInfo, MessageManagerState
+from browser_use.browser.views import BrowserState
+from browser_use.utils import time_execution_sync
+
+logger = logging.getLogger(__name__)
+
+
+class MessageManagerSettings(BaseModel):
+	max_input_tokens: int = 128000
+	estimated_characters_per_token: int = 3
+	image_tokens: int = 800
+	include_attributes: list[str] = []
+	message_context: str | None = None
+	sensitive_data: dict[str, str] | None = None
+	available_file_paths: list[str] | None = None
+
+
+class MessageManager:
+	def __init__(
+		self,
+		task: str,
+		system_message: SystemMessage,
+		settings: MessageManagerSettings = MessageManagerSettings(),
+		state: MessageManagerState = MessageManagerState(),
+	):
+		self.task = task
+		self.settings = settings
+		self.state = state
+		self.system_prompt = system_message
+
+		# Only initialize messages if state is empty
+		if len(self.state.history.messages) == 0:
+			self._init_messages()
+
+	def _init_messages(self) -> None:
+		"""Initialize the message history with system message, context, task, and other initial messages"""
+		self._add_message_with_tokens(self.system_prompt, message_type='init')
+
+		if self.settings.message_context:
+			context_message = HumanMessage(content='Context for the task' + self.settings.message_context)
+			self._add_message_with_tokens(context_message, message_type='init')
+
+		task_message = HumanMessage(
+			content=f'Your ultimate task is: """{self.task}""". If you achieved your ultimate task, stop everything and use the done action in the next step to complete the task. If not, continue as usual.'
+		)
+		self._add_message_with_tokens(task_message, message_type='init')
+
+		if self.settings.sensitive_data:
+			info = f'Here are placeholders for sensitive data: {list(self.settings.sensitive_data.keys())}'
+			info += '\nTo use them, write <secret>the placeholder name</secret>'
+			info_message = HumanMessage(content=info)
+			self._add_message_with_tokens(info_message, message_type='init')
+
+		placeholder_message = HumanMessage(content='Example output:')
+		self._add_message_with_tokens(placeholder_message, message_type='init')
+
+		example_tool_call = AIMessage(
+			content='',
+			tool_calls=[
+				{
+					'name': 'AgentOutput',
+					'args': {
+						'current_state': {
+							'evaluation_previous_goal': """
+							Success - I successfully clicked on the 'Apple' link from the Google Search results page, 
+							which directed me to the 'Apple' company homepage. This is a good start toward finding 
+							the best place to buy a new iPhone as the Apple website often list iPhones for sale.
+						""".strip(),
+							'memory': """
+							I searched for 'iPhone retailers' on Google. From the Google Search results page, 
+							I used the 'click_element_by_index' tool to click on element at index [45] labeled 'Best Buy' but calling 
+							the tool did not direct me to a new page. I then used the 'click_element_by_index' tool to click 
+							on element at index [82] labeled 'Apple' which redirected me to the 'Apple' company homepage. 
+							Currently at step 3/15.
+						""".strip(),
+							'next_goal': """
+							Looking at reported structure of the current page, I can see the item '[127]<h3 iPhone/>' 
+							in the content. I think this button will lead to more information and potentially prices 
+							for iPhones. I'll click on the link at index [127] using the 'click_element_by_index' 
+							tool and hope to see prices on the next page.
+						""".strip(),
+						},
+						'action': [{'click_element_by_index': {'index': 127}}],
+					},
+					'id': str(self.state.tool_id),
+					'type': 'tool_call',
+				},
+			],
+		)
+		self._add_message_with_tokens(example_tool_call, message_type='init')
+		self.add_tool_message(content='Browser started', message_type='init')
+
+		placeholder_message = HumanMessage(content='[Your task history memory starts here]')
+		self._add_message_with_tokens(placeholder_message)
+
+		if self.settings.available_file_paths:
+			filepaths_msg = HumanMessage(content=f'Here are file paths you can use: {self.settings.available_file_paths}')
+			self._add_message_with_tokens(filepaths_msg, message_type='init')
+
+	def add_new_task(self, new_task: str) -> None:
+		content = f'Your new ultimate task is: """{new_task}""". Take the previous context into account and finish your new ultimate task. '
+		msg = HumanMessage(content=content)
+		self._add_message_with_tokens(msg)
+		self.task = new_task
+
+	@time_execution_sync('--add_state_message')
+	def add_state_message(
+		self,
+		state: BrowserState,
+		result: list[ActionResult] | None = None,
+		step_info: AgentStepInfo | None = None,
+		use_vision=True,
+	) -> None:
+		"""Add browser state as human message"""
+
+		# if keep in memory, add to directly to history and add state without result
+		if result:
+			for r in result:
+				if r.include_in_memory:
+					if r.extracted_content:
+						msg = HumanMessage(content='Action result: ' + str(r.extracted_content))
+						self._add_message_with_tokens(msg)
+					if r.error:
+						# if endswith \n, remove it
+						if r.error.endswith('\n'):
+							r.error = r.error[:-1]
+						# get only last line of error
+						last_line = r.error.split('\n')[-1]
+						msg = HumanMessage(content='Action error: ' + last_line)
+						self._add_message_with_tokens(msg)
+					result = None  # if result in history, we dont want to add it again
+
+		# otherwise add state message and result to next message (which will not stay in memory)
+		state_message = AgentMessagePrompt(
+			state,
+			result,
+			include_attributes=self.settings.include_attributes,
+			step_info=step_info,
+		).get_user_message(use_vision)
+		self._add_message_with_tokens(state_message)
+
+	def add_model_output(self, model_output: AgentOutput) -> None:
+		"""Add model output as AI message"""
+		tool_calls = [
+			{
+				'name': 'AgentOutput',
+				'args': model_output.model_dump(mode='json', exclude_unset=True),
+				'id': str(self.state.tool_id),
+				'type': 'tool_call',
+			}
+		]
+
+		msg = AIMessage(
+			content='',
+			tool_calls=tool_calls,
+		)
+
+		self._add_message_with_tokens(msg)
+		# empty tool response
+		self.add_tool_message(content='')
+
+	def add_plan(self, plan: str | None, position: int | None = None) -> None:
+		if plan:
+			msg = AIMessage(content=plan)
+			self._add_message_with_tokens(msg, position)
+
+	@time_execution_sync('--get_messages')
+	def get_messages(self) -> list[BaseMessage]:
+		"""Get current message list, potentially trimmed to max tokens"""
+
+		msg = [m.message for m in self.state.history.messages]
+		# debug which messages are in history with token count # log
+		total_input_tokens = 0
+		logger.debug(f'Messages in history: {len(self.state.history.messages)}:')
+		for m in self.state.history.messages:
+			total_input_tokens += m.metadata.tokens
+			logger.debug(f'{m.message.__class__.__name__} - Token count: {m.metadata.tokens}')
+		logger.debug(f'Total input tokens: {total_input_tokens}')
+
+		return msg
+
+	def _add_message_with_tokens(
+		self, message: BaseMessage, position: int | None = None, message_type: str | None = None
+	) -> None:
+		"""Add message with token count metadata
+		position: None for last, -1 for second last, etc.
+		"""
+
+		# filter out sensitive data from the message
+		if self.settings.sensitive_data:
+			message = self._filter_sensitive_data(message)
+
+		token_count = self._count_tokens(message)
+		metadata = MessageMetadata(tokens=token_count, message_type=message_type)
+		self.state.history.add_message(message, metadata, position)
+
+	@time_execution_sync('--filter_sensitive_data')
+	def _filter_sensitive_data(self, message: BaseMessage) -> BaseMessage:
+		"""Filter out sensitive data from the message"""
+
+		def replace_sensitive(value: str) -> str:
+			if not self.settings.sensitive_data:
+				return value
+
+			# Create a dictionary with all key-value pairs from sensitive_data where value is not None or empty
+			valid_sensitive_data = {k: v for k, v in self.settings.sensitive_data.items() if v}
+
+			# If there are no valid sensitive data entries, just return the original value
+			if not valid_sensitive_data:
+				logger.warning('No valid entries found in sensitive_data dictionary')
+				return value
+
+			# Replace all valid sensitive data values with their placeholder tags
+			for key, val in valid_sensitive_data.items():
+				value = value.replace(val, f'<secret>{key}</secret>')
+
+			return value
+
+		if isinstance(message.content, str):
+			message.content = replace_sensitive(message.content)
+		elif isinstance(message.content, list):
+			for i, item in enumerate(message.content):
+				if isinstance(item, dict) and 'text' in item:
+					item['text'] = replace_sensitive(item['text'])
+					message.content[i] = item
+		return message
+
+	def _count_tokens(self, message: BaseMessage) -> int:
+		"""Count tokens in a message using the model's tokenizer"""
+		tokens = 0
+		if isinstance(message.content, list):
+			for item in message.content:
+				if 'image_url' in item:
+					tokens += self.settings.image_tokens
+				elif isinstance(item, dict) and 'text' in item:
+					tokens += self._count_text_tokens(item['text'])
+		else:
+			msg = message.content
+			if hasattr(message, 'tool_calls'):
+				msg += str(message.tool_calls)  # type: ignore
+			tokens += self._count_text_tokens(msg)
+		return tokens
+
+	def _count_text_tokens(self, text: str) -> int:
+		"""Count tokens in a text string"""
+		tokens = len(text) // self.settings.estimated_characters_per_token  # Rough estimate if no tokenizer available
+		return tokens
+
+	def cut_messages(self):
+		"""Get current message list, potentially trimmed to max tokens"""
+		diff = self.state.history.current_tokens - self.settings.max_input_tokens
+		if diff <= 0:
+			return None
+
+		msg = self.state.history.messages[-1]
+
+		# if list with image remove image
+		if isinstance(msg.message.content, list):
+			text = ''
+			for item in msg.message.content:
+				if 'image_url' in item:
+					msg.message.content.remove(item)
+					diff -= self.settings.image_tokens
+					msg.metadata.tokens -= self.settings.image_tokens
+					self.state.history.current_tokens -= self.settings.image_tokens
+					logger.debug(
+						f'Removed image with {self.settings.image_tokens} tokens - total tokens now: {self.state.history.current_tokens}/{self.settings.max_input_tokens}'
+					)
+				elif 'text' in item and isinstance(item, dict):
+					text += item['text']
+			msg.message.content = text
+			self.state.history.messages[-1] = msg
+
+		if diff <= 0:
+			return None
+
+		# if still over, remove text from state message proportionally to the number of tokens needed with buffer
+		# Calculate the proportion of content to remove
+		proportion_to_remove = diff / msg.metadata.tokens
+		if proportion_to_remove > 0.99:
+			raise ValueError(
+				f'Max token limit reached - history is too long - reduce the system prompt or task. '
+				f'proportion_to_remove: {proportion_to_remove}'
+			)
+		logger.debug(
+			f'Removing {proportion_to_remove * 100:.2f}% of the last message  {proportion_to_remove * msg.metadata.tokens:.2f} / {msg.metadata.tokens:.2f} tokens)'
+		)
+
+		content = msg.message.content
+		characters_to_remove = int(len(content) * proportion_to_remove)
+		content = content[:-characters_to_remove]
+
+		# remove tokens and old long message
+		self.state.history.remove_last_state_message()
+
+		# new message with updated content
+		msg = HumanMessage(content=content)
+		self._add_message_with_tokens(msg)
+
+		last_msg = self.state.history.messages[-1]
+
+		logger.debug(
+			f'Added message with {last_msg.metadata.tokens} tokens - total tokens now: {self.state.history.current_tokens}/{self.settings.max_input_tokens} - total messages: {len(self.state.history.messages)}'
+		)
+
+	def _remove_last_state_message(self) -> None:
+		"""Remove last state message from history"""
+		self.state.history.remove_last_state_message()
+
+	def add_tool_message(self, content: str, message_type: str | None = None) -> None:
+		"""Add tool message to history"""
+		msg = ToolMessage(content=content, tool_call_id=str(self.state.tool_id))
+		self.state.tool_id += 1
+		self._add_message_with_tokens(msg, message_type=message_type)
diff --git a/src/browser_use/agent/message_manager/utils.py b/src/browser_use/agent/message_manager/utils.py
new file mode 100644
index 00000000..8190b960
--- /dev/null
+++ b/src/browser_use/agent/message_manager/utils.py
@@ -0,0 +1,147 @@
+from __future__ import annotations
+
+import json
+import logging
+import os
+import re
+from typing import Any
+
+from langchain_core.messages import (
+	AIMessage,
+	BaseMessage,
+	HumanMessage,
+	SystemMessage,
+	ToolMessage,
+)
+
+logger = logging.getLogger(__name__)
+
+MODELS_WITHOUT_TOOL_SUPPORT_PATTERNS = [
+	'deepseek-reasoner',
+	'deepseek-r1',
+	'.*gemma.*-it',
+]
+
+
+def is_model_without_tool_support(model_name: str) -> bool:
+	return any(re.match(pattern, model_name) for pattern in MODELS_WITHOUT_TOOL_SUPPORT_PATTERNS)
+
+
+def extract_json_from_model_output(content: str) -> dict:
+	"""Extract JSON from model output, handling both plain JSON and code-block-wrapped JSON."""
+	try:
+		# If content is wrapped in code blocks, extract just the JSON part
+		if '```' in content:
+			# Find the JSON content between code blocks
+			content = content.split('```')[1]
+			# Remove language identifier if present (e.g., 'json\n')
+			if '\n' in content:
+				content = content.split('\n', 1)[1]
+		# Parse the cleaned content
+		result_dict = json.loads(content)
+
+		# some models occasionally respond with a list containing one dict: https://github.com/browser-use/browser-use/issues/1458
+		if isinstance(result_dict, list) and len(result_dict) == 1 and isinstance(result_dict[0], dict):
+			result_dict = result_dict[0]
+
+		assert isinstance(result_dict, dict), f'Expected JSON dictionary in response, got JSON {type(result_dict)} instead'
+		return result_dict
+	except json.JSONDecodeError as e:
+		logger.warning(f'Failed to parse model output: {content} {str(e)}')
+		raise ValueError('Could not parse response.')
+
+
+def convert_input_messages(input_messages: list[BaseMessage], model_name: str | None) -> list[BaseMessage]:
+	"""Convert input messages to a format that is compatible with the planner model"""
+	if model_name is None:
+		return input_messages
+
+	if is_model_without_tool_support(model_name):
+		converted_input_messages = _convert_messages_for_non_function_calling_models(input_messages)
+		merged_input_messages = _merge_successive_messages(converted_input_messages, HumanMessage)
+		merged_input_messages = _merge_successive_messages(merged_input_messages, AIMessage)
+		return merged_input_messages
+	return input_messages
+
+
+def _convert_messages_for_non_function_calling_models(input_messages: list[BaseMessage]) -> list[BaseMessage]:
+	"""Convert messages for non-function-calling models"""
+	output_messages = []
+	for message in input_messages:
+		if isinstance(message, HumanMessage):
+			output_messages.append(message)
+		elif isinstance(message, SystemMessage):
+			output_messages.append(message)
+		elif isinstance(message, ToolMessage):
+			output_messages.append(HumanMessage(content=message.content))
+		elif isinstance(message, AIMessage):
+			# check if tool_calls is a valid JSON object
+			if message.tool_calls:
+				tool_calls = json.dumps(message.tool_calls)
+				output_messages.append(AIMessage(content=tool_calls))
+			else:
+				output_messages.append(message)
+		else:
+			raise ValueError(f'Unknown message type: {type(message)}')
+	return output_messages
+
+
+def _merge_successive_messages(messages: list[BaseMessage], class_to_merge: type[BaseMessage]) -> list[BaseMessage]:
+	"""Some models like deepseek-reasoner dont allow multiple human messages in a row. This function merges them into one."""
+	merged_messages = []
+	streak = 0
+	for message in messages:
+		if isinstance(message, class_to_merge):
+			streak += 1
+			if streak > 1:
+				if isinstance(message.content, list):
+					merged_messages[-1].content += message.content[0]['text']  # type:ignore
+				else:
+					merged_messages[-1].content += message.content
+			else:
+				merged_messages.append(message)
+		else:
+			merged_messages.append(message)
+			streak = 0
+	return merged_messages
+
+
+def save_conversation(input_messages: list[BaseMessage], response: Any, target: str, encoding: str | None = None) -> None:
+	"""Save conversation history to file."""
+
+	# create folders if not exists
+	if dirname := os.path.dirname(target):
+		os.makedirs(dirname, exist_ok=True)
+
+	with open(
+		target,
+		'w',
+		encoding=encoding,
+	) as f:
+		_write_messages_to_file(f, input_messages)
+		_write_response_to_file(f, response)
+
+
+def _write_messages_to_file(f: Any, messages: list[BaseMessage]) -> None:
+	"""Write messages to conversation file"""
+	for message in messages:
+		f.write(f' {message.__class__.__name__} \n')
+
+		if isinstance(message.content, list):
+			for item in message.content:
+				if isinstance(item, dict) and item.get('type') == 'text':
+					f.write(item['text'].strip() + '\n')
+		elif isinstance(message.content, str):
+			try:
+				content = json.loads(message.content)
+				f.write(json.dumps(content, indent=2) + '\n')
+			except json.JSONDecodeError:
+				f.write(message.content.strip() + '\n')
+
+		f.write('\n')
+
+
+def _write_response_to_file(f: Any, response: Any) -> None:
+	"""Write model response to conversation file"""
+	f.write(' RESPONSE\n')
+	f.write(json.dumps(json.loads(response.model_dump_json(exclude_unset=True)), indent=2))
diff --git a/src/browser_use/agent/message_manager/views.py b/src/browser_use/agent/message_manager/views.py
new file mode 100644
index 00000000..67172c99
--- /dev/null
+++ b/src/browser_use/agent/message_manager/views.py
@@ -0,0 +1,135 @@
+from __future__ import annotations
+
+from typing import TYPE_CHECKING, Any
+from warnings import filterwarnings
+
+from langchain_core._api import LangChainBetaWarning
+from langchain_core.load import dumpd, load
+from langchain_core.messages import AIMessage, BaseMessage, HumanMessage, SystemMessage, ToolMessage
+from pydantic import BaseModel, ConfigDict, Field, model_serializer, model_validator
+
+filterwarnings('ignore', category=LangChainBetaWarning)
+
+if TYPE_CHECKING:
+	from browser_use.agent.views import AgentOutput
+
+
+class MessageMetadata(BaseModel):
+	"""Metadata for a message"""
+
+	tokens: int = 0
+	message_type: str | None = None
+
+
+class ManagedMessage(BaseModel):
+	"""A message with its metadata"""
+
+	message: BaseMessage
+	metadata: MessageMetadata = Field(default_factory=MessageMetadata)
+
+	model_config = ConfigDict(arbitrary_types_allowed=True)
+
+	# https://github.com/pydantic/pydantic/discussions/7558
+	@model_serializer(mode='wrap')
+	def to_json(self, original_dump):
+		"""
+		Returns the JSON representation of the model.
+
+		It uses langchain's `dumps` function to serialize the `message`
+		property before encoding the overall dict with json.dumps.
+		"""
+		data = original_dump(self)
+
+		# NOTE: We override the message field to use langchain JSON serialization.
+		data['message'] = dumpd(self.message)
+
+		return data
+
+	@model_validator(mode='before')
+	@classmethod
+	def validate(
+		cls,
+		value: Any,
+		*,
+		strict: bool | None = None,
+		from_attributes: bool | None = None,
+		context: Any | None = None,
+	) -> Any:
+		"""
+		Custom validator that uses langchain's `loads` function
+		to parse the message if it is provided as a JSON string.
+		"""
+		if isinstance(value, dict) and 'message' in value:
+			# NOTE: We use langchain's load to convert the JSON string back into a BaseMessage object.
+			filterwarnings('ignore', category=LangChainBetaWarning)
+			value['message'] = load(value['message'])
+		return value
+
+
+class MessageHistory(BaseModel):
+	"""History of messages with metadata"""
+
+	messages: list[ManagedMessage] = Field(default_factory=list)
+	current_tokens: int = 0
+
+	model_config = ConfigDict(arbitrary_types_allowed=True)
+
+	def add_message(self, message: BaseMessage, metadata: MessageMetadata, position: int | None = None) -> None:
+		"""Add message with metadata to history"""
+		if position is None:
+			self.messages.append(ManagedMessage(message=message, metadata=metadata))
+		else:
+			self.messages.insert(position, ManagedMessage(message=message, metadata=metadata))
+		self.current_tokens += metadata.tokens
+
+	def add_model_output(self, output: AgentOutput) -> None:
+		"""Add model output as AI message"""
+		tool_calls = [
+			{
+				'name': 'AgentOutput',
+				'args': output.model_dump(mode='json', exclude_unset=True),
+				'id': '1',
+				'type': 'tool_call',
+			}
+		]
+
+		msg = AIMessage(
+			content='',
+			tool_calls=tool_calls,
+		)
+		self.add_message(msg, MessageMetadata(tokens=100))  # Estimate tokens for tool calls
+
+		# Empty tool response
+		tool_message = ToolMessage(content='', tool_call_id='1')
+		self.add_message(tool_message, MessageMetadata(tokens=10))  # Estimate tokens for empty response
+
+	def get_messages(self) -> list[BaseMessage]:
+		"""Get all messages"""
+		return [m.message for m in self.messages]
+
+	def get_total_tokens(self) -> int:
+		"""Get total tokens in history"""
+		return self.current_tokens
+
+	def remove_oldest_message(self) -> None:
+		"""Remove oldest non-system message"""
+		for i, msg in enumerate(self.messages):
+			if not isinstance(msg.message, SystemMessage):
+				self.current_tokens -= msg.metadata.tokens
+				self.messages.pop(i)
+				break
+
+	def remove_last_state_message(self) -> None:
+		"""Remove last state message from history"""
+		if len(self.messages) > 2 and isinstance(self.messages[-1].message, HumanMessage):
+			self.current_tokens -= self.messages[-1].metadata.tokens
+			self.messages.pop()
+
+
+class MessageManagerState(BaseModel):
+	"""Holds the state for MessageManager"""
+
+	history: MessageHistory = Field(default_factory=MessageHistory)
+	tool_id: int = 1
+
+	model_config = ConfigDict(arbitrary_types_allowed=True)
diff --git a/src/browser_use/agent/playwright_script_generator.py b/src/browser_use/agent/playwright_script_generator.py
new file mode 100644
index 00000000..d158a79e
--- /dev/null
+++ b/src/browser_use/agent/playwright_script_generator.py
@@ -0,0 +1,722 @@
+import json
+import logging
+from pathlib import Path
+from typing import Any
+
+from browser_use.browser.browser import BrowserConfig
+from browser_use.browser.context import BrowserContextConfig
+
+logger = logging.getLogger(__name__)
+
+
+class PlaywrightScriptGenerator:
+	"""Generates a Playwright script from AgentHistoryList."""
+
+	def __init__(
+		self,
+		history_list: list[dict[str, Any]],
+		sensitive_data_keys: list[str] | None = None,
+		browser_config: BrowserConfig | None = None,
+		context_config: BrowserContextConfig | None = None,
+	):
+		"""
+		Initializes the script generator.
+
+		Args:
+		    history_list: A list of dictionaries, where each dictionary represents an AgentHistory item.
+		                 Expected to be raw dictionaries from `AgentHistoryList.model_dump()`.
+		    sensitive_data_keys: A list of keys used as placeholders for sensitive data.
+		    browser_config: Configuration from the original Browser instance.
+		    context_config: Configuration from the original BrowserContext instance.
+		"""
+		self.history = history_list
+		self.sensitive_data_keys = sensitive_data_keys or []
+		self.browser_config = browser_config
+		self.context_config = context_config
+		self._imports_helpers_added = False
+		self._page_counter = 0  # Track pages for tab management
+
+		# Dictionary mapping action types to handler methods
+		self._action_handlers = {
+			'go_to_url': self._map_go_to_url,
+			'wait': self._map_wait,
+			'input_text': self._map_input_text,
+			'click_element': self._map_click_element,
+			'click_element_by_index': self._map_click_element,  # Map legacy action
+			'scroll_down': self._map_scroll_down,
+			'scroll_up': self._map_scroll_up,
+			'send_keys': self._map_send_keys,
+			'go_back': self._map_go_back,
+			'open_tab': self._map_open_tab,
+			'close_tab': self._map_close_tab,
+			'switch_tab': self._map_switch_tab,
+			'search_google': self._map_search_google,
+			'drag_drop': self._map_drag_drop,
+			'extract_content': self._map_extract_content,
+			'click_download_button': self._map_click_download_button,
+			'done': self._map_done,
+		}
+
+	def _generate_browser_launch_args(self) -> str:
+		"""Generates the arguments string for browser launch based on BrowserConfig."""
+		if not self.browser_config:
+			# Default launch if no config provided
+			return 'headless=False'
+
+		args_dict = {
+			'headless': self.browser_config.headless,
+			# Add other relevant launch options here based on self.browser_config
+			# Example: 'proxy': self.browser_config.proxy.model_dump() if self.browser_config.proxy else None
+			# Example: 'args': self.browser_config.extra_browser_args # Be careful inheriting args
+		}
+		if self.browser_config.proxy:
+			args_dict['proxy'] = self.browser_config.proxy.model_dump()
+
+		# Filter out None values
+		args_dict = {k: v for k, v in args_dict.items() if v is not None}
+
+		# Format as keyword arguments string
+		args_str = ', '.join(f'{key}={repr(value)}' for key, value in args_dict.items())
+		return args_str
+
+	def _generate_context_options(self) -> str:
+		"""Generates the options string for context creation based on BrowserContextConfig."""
+		if not self.context_config:
+			return ''  # Default context
+
+		options_dict = {}
+
+		# Map relevant BrowserContextConfig fields to Playwright context options
+		if self.context_config.user_agent:
+			options_dict['user_agent'] = self.context_config.user_agent
+		if self.context_config.locale:
+			options_dict['locale'] = self.context_config.locale
+		if self.context_config.permissions:
+			options_dict['permissions'] = self.context_config.permissions
+		if self.context_config.geolocation:
+			options_dict['geolocation'] = self.context_config.geolocation
+		if self.context_config.timezone_id:
+			options_dict['timezone_id'] = self.context_config.timezone_id
+		if self.context_config.http_credentials:
+			options_dict['http_credentials'] = self.context_config.http_credentials
+		if self.context_config.is_mobile is not None:
+			options_dict['is_mobile'] = self.context_config.is_mobile
+		if self.context_config.has_touch is not None:
+			options_dict['has_touch'] = self.context_config.has_touch
+		if self.context_config.save_recording_path:
+			options_dict['record_video_dir'] = self.context_config.save_recording_path
+		if self.context_config.save_har_path:
+			options_dict['record_har_path'] = self.context_config.save_har_path
+
+		# Handle viewport/window size
+		if self.context_config.no_viewport:
+			options_dict['no_viewport'] = True
+		elif hasattr(self.context_config, 'window_width') and hasattr(self.context_config, 'window_height'):
+			options_dict['viewport'] = {
+				'width': self.context_config.window_width,
+				'height': self.context_config.window_height,
+			}
+
+		# Note: cookies_file and save_downloads_path are handled separately
+
+		# Filter out None values
+		options_dict = {k: v for k, v in options_dict.items() if v is not None}
+
+		# Format as keyword arguments string
+		options_str = ', '.join(f'{key}={repr(value)}' for key, value in options_dict.items())
+		return options_str
+
+	def _get_imports_and_helpers(self) -> list[str]:
+		"""Generates necessary import statements (excluding helper functions)."""
+		# Return only the standard imports needed by the main script body
+		return [
+			'import asyncio',
+			'import json',
+			'import os',
+			'import sys',
+			'from pathlib import Path',  # Added Path import
+			'import urllib.parse',  # Needed for search_google
+			'from playwright.async_api import async_playwright, Page, BrowserContext',  # Added BrowserContext
+			'from dotenv import load_dotenv',
+			'',
+			'# Load environment variables',
+			'load_dotenv(override=True)',
+			'',
+			# Helper function definitions are no longer here
+		]
+
+	def _get_sensitive_data_definitions(self) -> list[str]:
+		"""Generates the SENSITIVE_DATA dictionary definition."""
+		if not self.sensitive_data_keys:
+			return ['SENSITIVE_DATA = {}', '']
+
+		lines = ['# Sensitive data placeholders mapped to environment variables']
+		lines.append('SENSITIVE_DATA = {')
+		for key in self.sensitive_data_keys:
+			env_var_name = key.upper()
+			default_value_placeholder = f'YOUR_{env_var_name}'
+			lines.append(f'    "{key}": os.getenv("{env_var_name}", {json.dumps(default_value_placeholder)}),')
+		lines.append('}')
+		lines.append('')
+		return lines
+
+	def _get_selector_for_action(self, history_item: dict, action_index_in_step: int) -> str | None:
+		"""
+		Gets the selector (preferring XPath) for a given action index within a history step.
+		Formats the XPath correctly for Playwright.
+		"""
+		state = history_item.get('state')
+		if not isinstance(state, dict):
+			return None
+		interacted_elements = state.get('interacted_element')
+		if not isinstance(interacted_elements, list):
+			return None
+		if action_index_in_step >= len(interacted_elements):
+			return None
+		element_data = interacted_elements[action_index_in_step]
+		if not isinstance(element_data, dict):
+			return None
+
+		# Prioritize XPath
+		xpath = element_data.get('xpath')
+		if isinstance(xpath, str) and xpath.strip():
+			if not xpath.startswith('xpath=') and not xpath.startswith('/') and not xpath.startswith('//'):
+				xpath_selector = f'xpath=//{xpath}'  # Make relative if not already
+			elif not xpath.startswith('xpath='):
+				xpath_selector = f'xpath={xpath}'  # Add prefix if missing
+			else:
+				xpath_selector = xpath
+			return xpath_selector
+
+		# Fallback to CSS selector if XPath is missing
+		css_selector = element_data.get('css_selector')
+		if isinstance(css_selector, str) and css_selector.strip():
+			return css_selector  # Use CSS selector as is
+
+		logger.warning(
+			f'Could not find a usable XPath or CSS selector for action index {action_index_in_step} (element index {element_data.get("highlight_index", "N/A")}).'
+		)
+		return None
+
+	def _get_goto_timeout(self) -> int:
+		"""Gets the page navigation timeout in milliseconds."""
+		default_timeout = 90000  # Default 90 seconds
+		if self.context_config and self.context_config.maximum_wait_page_load_time:
+			# Convert seconds to milliseconds
+			return int(self.context_config.maximum_wait_page_load_time * 1000)
+		return default_timeout
+
+	# --- Action Mapping Methods ---
+	def _map_go_to_url(self, params: dict, step_info_str: str, **kwargs) -> list[str]:
+		url = params.get('url')
+		goto_timeout = self._get_goto_timeout()
+		script_lines = []
+		if url and isinstance(url, str):
+			escaped_url = json.dumps(url)
+			script_lines.append(f'            print(f"Navigating to: {url} ({step_info_str})")')
+			script_lines.append(f'            await page.goto({escaped_url}, timeout={goto_timeout})')
+			script_lines.append(f"            await page.wait_for_load_state('load', timeout={goto_timeout})")
+			script_lines.append('            await page.wait_for_timeout(1000)')  # Short pause
+		else:
+			script_lines.append(f'            # Skipping go_to_url ({step_info_str}): missing or invalid url')
+		return script_lines
+
+	def _map_wait(self, params: dict, step_info_str: str, **kwargs) -> list[str]:
+		seconds = params.get('seconds', 3)
+		try:
+			wait_seconds = int(seconds)
+		except (ValueError, TypeError):
+			wait_seconds = 3
+		return [
+			f'            print(f"Waiting for {wait_seconds} seconds... ({step_info_str})")',
+			f'            await asyncio.sleep({wait_seconds})',
+		]
+
+	def _map_input_text(
+		self, params: dict, history_item: dict, action_index_in_step: int, step_info_str: str, **kwargs
+	) -> list[str]:
+		index = params.get('index')
+		text = params.get('text', '')
+		selector = self._get_selector_for_action(history_item, action_index_in_step)
+		script_lines = []
+		if selector and index is not None:
+			clean_text_expression = f'replace_sensitive_data({json.dumps(str(text))}, SENSITIVE_DATA)'
+			escaped_selector = json.dumps(selector)
+			escaped_step_info = json.dumps(step_info_str)
+			script_lines.append(
+				f'            await _try_locate_and_act(page, {escaped_selector}, "fill", text={clean_text_expression}, step_info={escaped_step_info})'
+			)
+		else:
+			script_lines.append(
+				f'            # Skipping input_text ({step_info_str}): missing index ({index}) or selector ({selector})'
+			)
+		return script_lines
+
+	def _map_click_element(
+		self, params: dict, history_item: dict, action_index_in_step: int, step_info_str: str, action_type: str, **kwargs
+	) -> list[str]:
+		if action_type == 'click_element_by_index':
+			logger.warning(f"Mapping legacy 'click_element_by_index' to 'click_element' ({step_info_str})")
+		index = params.get('index')
+		selector = self._get_selector_for_action(history_item, action_index_in_step)
+		script_lines = []
+		if selector and index is not None:
+			escaped_selector = json.dumps(selector)
+			escaped_step_info = json.dumps(step_info_str)
+			script_lines.append(
+				f'            await _try_locate_and_act(page, {escaped_selector}, "click", step_info={escaped_step_info})'
+			)
+		else:
+			script_lines.append(
+				f'            # Skipping {action_type} ({step_info_str}): missing index ({index}) or selector ({selector})'
+			)
+		return script_lines
+
+	def _map_scroll_down(self, params: dict, step_info_str: str, **kwargs) -> list[str]:
+		amount = params.get('amount')
+		script_lines = []
+		if amount and isinstance(amount, int):
+			script_lines.append(f'            print(f"Scrolling down by {amount} pixels ({step_info_str})")')
+			script_lines.append(f"            await page.evaluate('window.scrollBy(0, {amount})')")
+		else:
+			script_lines.append(f'            print(f"Scrolling down by one page height ({step_info_str})")')
+			script_lines.append("            await page.evaluate('window.scrollBy(0, window.innerHeight)')")
+		script_lines.append('            await page.wait_for_timeout(500)')
+		return script_lines
+
+	def _map_scroll_up(self, params: dict, step_info_str: str, **kwargs) -> list[str]:
+		amount = params.get('amount')
+		script_lines = []
+		if amount and isinstance(amount, int):
+			script_lines.append(f'            print(f"Scrolling up by {amount} pixels ({step_info_str})")')
+			script_lines.append(f"            await page.evaluate('window.scrollBy(0, -{amount})')")
+		else:
+			script_lines.append(f'            print(f"Scrolling up by one page height ({step_info_str})")')
+			script_lines.append("            await page.evaluate('window.scrollBy(0, -window.innerHeight)')")
+		script_lines.append('            await page.wait_for_timeout(500)')
+		return script_lines
+
+	def _map_send_keys(self, params: dict, step_info_str: str, **kwargs) -> list[str]:
+		keys = params.get('keys')
+		script_lines = []
+		if keys and isinstance(keys, str):
+			escaped_keys = json.dumps(keys)
+			script_lines.append(f'            print(f"Sending keys: {keys} ({step_info_str})")')
+			script_lines.append(f'            await page.keyboard.press({escaped_keys})')
+			script_lines.append('            await page.wait_for_timeout(500)')
+		else:
+			script_lines.append(f'            # Skipping send_keys ({step_info_str}): missing or invalid keys')
+		return script_lines
+
+	def _map_go_back(self, params: dict, step_info_str: str, **kwargs) -> list[str]:
+		goto_timeout = self._get_goto_timeout()
+		return [
+			'            await asyncio.sleep(60)  # Wait 1 minute (important) before going back',
+			f'            print(f"Navigating back using browser history ({step_info_str})")',
+			f'            await page.go_back(timeout={goto_timeout})',
+			f"            await page.wait_for_load_state('load', timeout={goto_timeout})",
+			'            await page.wait_for_timeout(1000)',
+		]
+
+	def _map_open_tab(self, params: dict, step_info_str: str, **kwargs) -> list[str]:
+		url = params.get('url')
+		goto_timeout = self._get_goto_timeout()
+		script_lines = []
+		if url and isinstance(url, str):
+			escaped_url = json.dumps(url)
+			script_lines.append(f'            print(f"Opening new tab and navigating to: {url} ({step_info_str})")')
+			script_lines.append('            page = await context.new_page()')
+			script_lines.append(f'            await page.goto({escaped_url}, timeout={goto_timeout})')
+			script_lines.append(f"            await page.wait_for_load_state('load', timeout={goto_timeout})")
+			script_lines.append('            await page.wait_for_timeout(1000)')
+			self._page_counter += 1  # Increment page counter
+		else:
+			script_lines.append(f'            # Skipping open_tab ({step_info_str}): missing or invalid url')
+		return script_lines
+
+	def _map_close_tab(self, params: dict, step_info_str: str, **kwargs) -> list[str]:
+		page_id = params.get('page_id')
+		script_lines = []
+		if page_id is not None:
+			script_lines.extend(
+				[
+					f'            print(f"Attempting to close tab with page_id {page_id} ({step_info_str})")',
+					f'            if {page_id} < len(context.pages):',
+					f'                target_page = context.pages[{page_id}]',
+					'                await target_page.close()',
+					'                await page.wait_for_timeout(500)',
+					'                if context.pages: page = context.pages[-1]',  # Switch to last page
+					'                else:',
+					"                    print('  Warning: No pages left after closing tab. Cannot switch.', file=sys.stderr)",
+					'                    # Optionally, create a new page here if needed: page = await context.new_page()',
+					'                if page: await page.bring_to_front()',  # Bring to front if page exists
+					'            else:',
+					f'                print(f"  Warning: Tab with page_id {page_id} not found to close ({step_info_str})", file=sys.stderr)',
+				]
+			)
+		else:
+			script_lines.append(f'            # Skipping close_tab ({step_info_str}): missing page_id')
+		return script_lines
+
+	def _map_switch_tab(self, params: dict, step_info_str: str, **kwargs) -> list[str]:
+		page_id = params.get('page_id')
+		script_lines = []
+		if page_id is not None:
+			script_lines.extend(
+				[
+					f'            print(f"Switching to tab with page_id {page_id} ({step_info_str})")',
+					f'            if {page_id} < len(context.pages):',
+					f'                page = context.pages[{page_id}]',
+					'                await page.bring_to_front()',
+					"                await page.wait_for_load_state('load', timeout=15000)",
+					'                await page.wait_for_timeout(500)',
+					'            else:',
+					f'                print(f"  Warning: Tab with page_id {page_id} not found to switch ({step_info_str})", file=sys.stderr)',
+				]
+			)
+		else:
+			script_lines.append(f'            # Skipping switch_tab ({step_info_str}): missing page_id')
+		return script_lines
+
+	def _map_search_google(self, params: dict, step_info_str: str, **kwargs) -> list[str]:
+		query = params.get('query')
+		goto_timeout = self._get_goto_timeout()
+		script_lines = []
+		if query and isinstance(query, str):
+			clean_query = f'replace_sensitive_data({json.dumps(query)}, SENSITIVE_DATA)'
+			search_url_expression = f'f"https://www.google.com/search?q={{ urllib.parse.quote_plus({clean_query}) }}&udm=14"'
+			script_lines.extend(
+				[
+					f'            search_url = {search_url_expression}',
+					f'            print(f"Searching Google for query related to: {{ {clean_query} }} ({step_info_str})")',
+					f'            await page.goto(search_url, timeout={goto_timeout})',
+					f"            await page.wait_for_load_state('load', timeout={goto_timeout})",
+					'            await page.wait_for_timeout(1000)',
+				]
+			)
+		else:
+			script_lines.append(f'            # Skipping search_google ({step_info_str}): missing or invalid query')
+		return script_lines
+
+	def _map_drag_drop(self, params: dict, step_info_str: str, **kwargs) -> list[str]:
+		source_sel = params.get('element_source')
+		target_sel = params.get('element_target')
+		source_coords = (params.get('coord_source_x'), params.get('coord_source_y'))
+		target_coords = (params.get('coord_target_x'), params.get('coord_target_y'))
+		script_lines = [f'            print(f"Attempting drag and drop ({step_info_str})")']
+		if source_sel and target_sel:
+			escaped_source = json.dumps(source_sel)
+			escaped_target = json.dumps(target_sel)
+			script_lines.append(f'            await page.drag_and_drop({escaped_source}, {escaped_target})')
+			script_lines.append(f"            print(f'  Dragged element {escaped_source} to {escaped_target}')")
+		elif all(c is not None for c in source_coords) and all(c is not None for c in target_coords):
+			sx, sy = source_coords
+			tx, ty = target_coords
+			script_lines.extend(
+				[
+					f'            await page.mouse.move({sx}, {sy})',
+					'            await page.mouse.down()',
+					f'            await page.mouse.move({tx}, {ty})',
+					'            await page.mouse.up()',
+					f"            print(f'  Dragged from ({sx},{sy}) to ({tx},{ty})')",
+				]
+			)
+		else:
+			script_lines.append(
+				f'            # Skipping drag_drop ({step_info_str}): requires either element selectors or full coordinates'
+			)
+		script_lines.append('            await page.wait_for_timeout(500)')
+		return script_lines
+
+	def _map_extract_content(self, params: dict, step_info_str: str, **kwargs) -> list[str]:
+		goal = params.get('goal', 'content')
+		logger.warning(f"Action 'extract_content' ({step_info_str}) cannot be directly translated to Playwright script.")
+		return [f'            # Action: extract_content (Goal: {goal}) - Skipped in Playwright script ({step_info_str})']
+
+	def _map_click_download_button(
+		self, params: dict, history_item: dict, action_index_in_step: int, step_info_str: str, **kwargs
+	) -> list[str]:
+		index = params.get('index')
+		selector = self._get_selector_for_action(history_item, action_index_in_step)
+		download_dir_in_script = "'./files'"  # Default
+		if self.context_config and self.context_config.save_downloads_path:
+			download_dir_in_script = repr(self.context_config.save_downloads_path)
+
+		script_lines = []
+		if selector and index is not None:
+			script_lines.append(
+				f'            print(f"Attempting to download file by clicking element ({selector}) ({step_info_str})")'
+			)
+			script_lines.append('            try:')
+			script_lines.append(
+				'                async with page.expect_download(timeout=120000) as download_info:'
+			)  # 2 min timeout
+			step_info_for_download = f'{step_info_str} (triggering download)'
+			script_lines.append(
+				f'                    await _try_locate_and_act(page, {json.dumps(selector)}, "click", step_info={json.dumps(step_info_for_download)})'
+			)
+			script_lines.append('                download = await download_info.value')
+			script_lines.append(f'                configured_download_dir = {download_dir_in_script}')
+			script_lines.append('                download_dir_path = Path(configured_download_dir).resolve()')
+			script_lines.append('                download_dir_path.mkdir(parents=True, exist_ok=True)')
+			script_lines.append(
+				"                base, ext = os.path.splitext(download.suggested_filename or f'download_{{len(list(download_dir_path.iterdir())) + 1}}.tmp')"
+			)
+			script_lines.append('                counter = 1')
+			script_lines.append("                download_path_obj = download_dir_path / f'{base}{ext}'")
+			script_lines.append('                while download_path_obj.exists():')
+			script_lines.append("                    download_path_obj = download_dir_path / f'{base}({{counter}}){ext}'")
+			script_lines.append('                    counter += 1')
+			script_lines.append('                await download.save_as(str(download_path_obj))')
+			script_lines.append("                print(f'  File downloaded successfully to: {str(download_path_obj)}')")
+			script_lines.append('            except PlaywrightActionError as pae:')
+			script_lines.append('                raise pae')  # Re-raise to stop script
+			script_lines.append('            except Exception as download_err:')
+			script_lines.append(
+				f"                raise PlaywrightActionError(f'Download failed for {step_info_str}: {{download_err}}') from download_err"
+			)
+		else:
+			script_lines.append(
+				f'            # Skipping click_download_button ({step_info_str}): missing index ({index}) or selector ({selector})'
+			)
+		return script_lines
+
+	def _map_done(self, params: dict, step_info_str: str, **kwargs) -> list[str]:
+		script_lines = []
+		if isinstance(params, dict):
+			final_text = params.get('text', '')
+			success_status = params.get('success', False)
+			escaped_final_text_with_placeholders = json.dumps(str(final_text))
+			script_lines.append(f'            print("\\n--- Task marked as Done by agent ({step_info_str}) ---")')
+			script_lines.append(f'            print(f"Agent reported success: {success_status}")')
+			script_lines.append('            # Final Message from agent (may contain placeholders):')
+			script_lines.append(
+				f'            final_message = replace_sensitive_data({escaped_final_text_with_placeholders}, SENSITIVE_DATA)'
+			)
+			script_lines.append('            print(final_message)')
+		else:
+			script_lines.append(f'            print("\\n--- Task marked as Done by agent ({step_info_str}) ---")')
+			script_lines.append('            print("Success: N/A (invalid params)")')
+			script_lines.append('            print("Final Message: N/A (invalid params)")')
+		return script_lines
+
+	def _map_action_to_playwright(
+		self,
+		action_dict: dict,
+		history_item: dict,
+		previous_history_item: dict | None,
+		action_index_in_step: int,
+		step_info_str: str,
+	) -> list[str]:
+		"""
+		Translates a single action dictionary into Playwright script lines using dictionary dispatch.
+		"""
+		if not isinstance(action_dict, dict) or not action_dict:
+			return [f'            # Invalid action format: {action_dict} ({step_info_str})']
+
+		action_type = next(iter(action_dict.keys()), None)
+		params = action_dict.get(action_type)
+
+		if not action_type or params is None:
+			if action_dict == {}:
+				return [f'            # Empty action dictionary found ({step_info_str})']
+			return [f'            # Could not determine action type or params: {action_dict} ({step_info_str})']
+
+		# Get the handler function from the dictionary
+		handler = self._action_handlers.get(action_type)
+
+		if handler:
+			# Call the specific handler method
+			return handler(
+				params=params,
+				history_item=history_item,
+				action_index_in_step=action_index_in_step,
+				step_info_str=step_info_str,
+				action_type=action_type,  # Pass action_type for legacy handling etc.
+				previous_history_item=previous_history_item,
+			)
+		else:
+			# Handle unsupported actions
+			logger.warning(f'Unsupported action type encountered: {action_type} ({step_info_str})')
+			return [f'            # Unsupported action type: {action_type} ({step_info_str})']
+
+	def generate_script_content(self) -> str:
+		"""Generates the full Playwright script content as a string."""
+		script_lines = []
+		self._page_counter = 0  # Reset page counter for new script generation
+
+		if not self._imports_helpers_added:
+			script_lines.extend(self._get_imports_and_helpers())
+			self._imports_helpers_added = True
+
+		# Read helper script content
+		helper_script_path = Path(__file__).parent / 'playwright_script_helpers.py'
+		try:
+			with open(helper_script_path, encoding='utf-8') as f_helper:
+				helper_script_content = f_helper.read()
+		except FileNotFoundError:
+			logger.error(f'Helper script not found at {helper_script_path}. Cannot generate script.')
+			return '# Error: Helper script file missing.'
+		except Exception as e:
+			logger.error(f'Error reading helper script {helper_script_path}: {e}')
+			return f'# Error: Could not read helper script: {e}'
+
+		script_lines.extend(self._get_sensitive_data_definitions())
+
+		# Add the helper script content after imports and sensitive data
+		script_lines.append('\n# --- Helper Functions (from playwright_script_helpers.py) ---')
+		script_lines.append(helper_script_content)
+		script_lines.append('# --- End Helper Functions ---')
+
+		# Generate browser launch and context creation code
+		browser_launch_args = self._generate_browser_launch_args()
+		context_options = self._generate_context_options()
+		# Determine browser type (defaulting to chromium)
+		browser_type = 'chromium'
+		if self.browser_config and self.browser_config.browser_class in ['firefox', 'webkit']:
+			browser_type = self.browser_config.browser_class
+
+		script_lines.extend(
+			[
+				'async def run_generated_script():',
+				'    global SENSITIVE_DATA',  # Ensure sensitive data is accessible
+				'    async with async_playwright() as p:',
+				'        browser = None',
+				'        context = None',
+				'        page = None',
+				'        exit_code = 0 # Default success exit code',
+				'        try:',
+				f"            print('Launching {browser_type} browser...')",
+				# Use generated launch args, remove slow_mo
+				f'            browser = await p.{browser_type}.launch({browser_launch_args})',
+				# Use generated context options
+				f'            context = await browser.new_context({context_options})',
+				"            print('Browser context created.')",
+			]
+		)
+
+		# Add cookie loading logic if cookies_file is specified
+		if self.context_config and self.context_config.cookies_file:
+			cookies_file_path = repr(self.context_config.cookies_file)
+			script_lines.extend(
+				[
+					'            # Load cookies if specified',
+					f'            cookies_path = {cookies_file_path}',
+					'            if cookies_path and os.path.exists(cookies_path):',
+					'                try:',
+					"                    with open(cookies_path, 'r', encoding='utf-8') as f_cookies:",
+					'                        cookies = json.load(f_cookies)',
+					'                        # Validate sameSite attribute',
+					"                        valid_same_site = ['Strict', 'Lax', 'None']",
+					'                        for cookie in cookies:',
+					"                            if 'sameSite' in cookie and cookie['sameSite'] not in valid_same_site:",
+					'                                print(f\'  Warning: Fixing invalid sameSite value "{{cookie["sameSite"]}}" to None for cookie {{cookie.get("name")}}\', file=sys.stderr)',
+					"                                cookie['sameSite'] = 'None'",
+					'                        await context.add_cookies(cookies)',
+					"                        print(f'  Successfully loaded {{len(cookies)}} cookies from {{cookies_path}}')",
+					'                except Exception as cookie_err:',
+					"                    print(f'  Warning: Failed to load or add cookies from {{cookies_path}}: {{cookie_err}}', file=sys.stderr)",
+					'            else:',
+					'                if cookies_path:',  # Only print if a path was specified but not found
+					"                    print(f'  Cookie file not found at: {cookies_path}')",
+					'',
+				]
+			)
+
+		script_lines.extend(
+			[
+				'            # Initial page handling',
+				'            if context.pages:',
+				'                page = context.pages[0]',
+				"                print('Using initial page provided by context.')",
+				'            else:',
+				'                page = await context.new_page()',
+				"                print('Created a new page as none existed.')",
+				"            print('\\n--- Starting Generated Script Execution ---')",
+			]
+		)
+
+		action_counter = 0
+		stop_processing_steps = False
+		previous_item_dict = None
+
+		for step_index, item_dict in enumerate(self.history):
+			if stop_processing_steps:
+				break
+
+			if not isinstance(item_dict, dict):
+				logger.warning(f'Skipping step {step_index + 1}: Item is not a dictionary ({type(item_dict)})')
+				script_lines.append(f'\n            # --- Step {step_index + 1}: Skipped (Invalid Format) ---')
+				previous_item_dict = item_dict
+				continue
+
+			script_lines.append(f'\n            # --- Step {step_index + 1} ---')
+			model_output = item_dict.get('model_output')
+
+			if not isinstance(model_output, dict) or 'action' not in model_output:
+				script_lines.append('            # No valid model_output or action found for this step')
+				previous_item_dict = item_dict
+				continue
+
+			actions = model_output.get('action')
+			if not isinstance(actions, list):
+				script_lines.append(f'            # Actions format is not a list: {type(actions)}')
+				previous_item_dict = item_dict
+				continue
+
+			for action_index_in_step, action_detail in enumerate(actions):
+				action_counter += 1
+				script_lines.append(f'            # Action {action_counter}')
+
+				step_info_str = f'Step {step_index + 1}, Action {action_index_in_step + 1}'
+				action_lines = self._map_action_to_playwright(
+					action_dict=action_detail,
+					history_item=item_dict,
+					previous_history_item=previous_item_dict,
+					action_index_in_step=action_index_in_step,
+					step_info_str=step_info_str,
+				)
+				script_lines.extend(action_lines)
+
+				action_type = next(iter(action_detail.keys()), None) if isinstance(action_detail, dict) else None
+				if action_type == 'done':
+					stop_processing_steps = True
+					break
+
+			previous_item_dict = item_dict
+
+		# Updated final block to include sys.exit
+		script_lines.extend(
+			[
+				'        except PlaywrightActionError as pae:',  # Catch specific action errors
+				"            print(f'\\n--- Playwright Action Error: {pae} ---', file=sys.stderr)",
+				'            exit_code = 1',  # Set exit code to failure
+				'        except Exception as e:',
+				"            print(f'\\n--- An unexpected error occurred: {e} ---', file=sys.stderr)",
+				'            import traceback',
+				'            traceback.print_exc()',
+				'            exit_code = 1',  # Set exit code to failure
+				'        finally:',
+				"            print('\\n--- Generated Script Execution Finished ---')",
+				"            print('Closing browser/context...')",
+				'            if context:',
+				'                 try: await context.close()',
+				"                 except Exception as ctx_close_err: print(f'  Warning: could not close context: {ctx_close_err}', file=sys.stderr)",
+				'            if browser:',
+				'                 try: await browser.close()',
+				"                 except Exception as browser_close_err: print(f'  Warning: could not close browser: {browser_close_err}', file=sys.stderr)",
+				"            print('Browser/context closed.')",
+				'            # Exit with the determined exit code',
+				'            if exit_code != 0:',
+				"                print(f'Script finished with errors (exit code {exit_code}).', file=sys.stderr)",
+				'                sys.exit(exit_code)',  # Exit with non-zero code on error
+				'',
+				'# --- Script Entry Point ---',
+				"if __name__ == '__main__':",
+				"    if os.name == 'nt':",
+				'        asyncio.set_event_loop_policy(asyncio.WindowsProactorEventLoopPolicy())',
+				'    asyncio.run(run_generated_script())',
+			]
+		)
+
+		return '\n'.join(script_lines)
diff --git a/src/browser_use/agent/playwright_script_helpers.py b/src/browser_use/agent/playwright_script_helpers.py
new file mode 100644
index 00000000..5ef0a634
--- /dev/null
+++ b/src/browser_use/agent/playwright_script_helpers.py
@@ -0,0 +1,94 @@
+from playwright.async_api import Page
+
+
+# --- Helper Function for Replacing Sensitive Data ---
+def replace_sensitive_data(text: str, sensitive_map: dict) -> str:
+	"""Replaces sensitive data placeholders in text."""
+	if not isinstance(text, str):
+		return text
+	for placeholder, value in sensitive_map.items():
+		replacement_value = str(value) if value is not None else ''
+		text = text.replace(f'<secret>{placeholder}</secret>', replacement_value)
+	return text
+
+
+# --- Helper Function for Robust Action Execution ---
+class PlaywrightActionError(Exception):
+	"""Custom exception for errors during Playwright script action execution."""
+
+	pass
+
+
+async def _try_locate_and_act(page: Page, selector: str, action_type: str, text: str | None = None, step_info: str = '') -> None:
+	"""
+	Attempts an action (click/fill) with XPath fallback by trimming prefixes.
+	Raises PlaywrightActionError if the action fails after all fallbacks.
+	"""
+	print(f'Attempting {action_type} ({step_info}) using selector: {repr(selector)}')
+	original_selector = selector
+	MAX_FALLBACKS = 50  # Increased fallbacks
+	# Increased timeouts for potentially slow pages
+	INITIAL_TIMEOUT = 10000  # Milliseconds for the first attempt (10 seconds)
+	FALLBACK_TIMEOUT = 1000  # Shorter timeout for fallback attempts (1 second)
+
+	try:
+		locator = page.locator(selector).first
+		if action_type == 'click':
+			await locator.click(timeout=INITIAL_TIMEOUT)
+		elif action_type == 'fill' and text is not None:
+			await locator.fill(text, timeout=INITIAL_TIMEOUT)
+		else:
+			# This case should ideally not happen if called correctly
+			raise PlaywrightActionError(f"Invalid action_type '{action_type}' or missing text for fill. ({step_info})")
+		print(f"  Action '{action_type}' successful with original selector.")
+		await page.wait_for_timeout(500)  # Wait after successful action
+		return  # Successful exit
+	except Exception as e:
+		print(f"  Warning: Action '{action_type}' failed with original selector ({repr(selector)}): {e}. Starting fallback...")
+
+		# Fallback only works for XPath selectors
+		if not selector.startswith('xpath='):
+			# Raise error immediately if not XPath, as fallback won't work
+			raise PlaywrightActionError(
+				f"Action '{action_type}' failed. Fallback not possible for non-XPath selector: {repr(selector)}. ({step_info})"
+			)
+
+		xpath_parts = selector.split('=', 1)
+		if len(xpath_parts) < 2:
+			raise PlaywrightActionError(
+				f"Action '{action_type}' failed. Could not extract XPath string from selector: {repr(selector)}. ({step_info})"
+			)
+		xpath = xpath_parts[1]  # Correctly get the XPath string
+
+		segments = [seg for seg in xpath.split('/') if seg]
+
+		for i in range(1, min(MAX_FALLBACKS + 1, len(segments))):
+			trimmed_xpath_raw = '/'.join(segments[i:])
+			fallback_xpath = f'xpath=//{trimmed_xpath_raw}'
+
+			print(f'    Fallback attempt {i}/{MAX_FALLBACKS}: Trying selector: {repr(fallback_xpath)}')
+			try:
+				locator = page.locator(fallback_xpath).first
+				if action_type == 'click':
+					await locator.click(timeout=FALLBACK_TIMEOUT)
+				elif action_type == 'fill' and text is not None:
+					try:
+						await locator.clear(timeout=FALLBACK_TIMEOUT)
+						await page.wait_for_timeout(100)
+					except Exception as clear_error:
+						print(f'    Warning: Failed to clear field during fallback ({step_info}): {clear_error}')
+					await locator.fill(text, timeout=FALLBACK_TIMEOUT)
+
+				print(f"    Action '{action_type}' successful with fallback selector: {repr(fallback_xpath)}")
+				await page.wait_for_timeout(500)
+				return  # Successful exit after fallback
+			except Exception as fallback_e:
+				print(f'    Fallback attempt {i} failed: {fallback_e}')
+				if i == MAX_FALLBACKS:
+					# Raise exception after exhausting fallbacks
+					raise PlaywrightActionError(
+						f"Action '{action_type}' failed after {MAX_FALLBACKS} fallback attempts. Original selector: {repr(original_selector)}. ({step_info})"
+					)
+
+	# This part should not be reachable if logic is correct, but added as safeguard
+	raise PlaywrightActionError(f"Action '{action_type}' failed unexpectedly for {repr(original_selector)}. ({step_info})")
diff --git a/src/browser_use/agent/prompts.py b/src/browser_use/agent/prompts.py
new file mode 100644
index 00000000..b37c0648
--- /dev/null
+++ b/src/browser_use/agent/prompts.py
@@ -0,0 +1,187 @@
+import importlib.resources
+from datetime import datetime
+from typing import TYPE_CHECKING, Optional
+
+from langchain_core.messages import HumanMessage, SystemMessage
+
+if TYPE_CHECKING:
+	from browser_use.agent.views import ActionResult, AgentStepInfo
+	from browser_use.browser.views import BrowserState
+
+
+class SystemPrompt:
+	def __init__(
+		self,
+		action_description: str,
+		max_actions_per_step: int = 10,
+		override_system_message: str | None = None,
+		extend_system_message: str | None = None,
+	):
+		self.default_action_description = action_description
+		self.max_actions_per_step = max_actions_per_step
+		prompt = ''
+		if override_system_message:
+			prompt = override_system_message
+		else:
+			self._load_prompt_template()
+			prompt = self.prompt_template.format(max_actions=self.max_actions_per_step)
+
+		if extend_system_message:
+			prompt += f'\n{extend_system_message}'
+
+		self.system_message = SystemMessage(content=prompt)
+
+	def _load_prompt_template(self) -> None:
+		"""Load the prompt template from the markdown file."""
+		try:
+			# This works both in development and when installed as a package
+			with importlib.resources.files('browser_use.agent').joinpath('system_prompt.md').open('r') as f:
+				self.prompt_template = f.read()
+		except Exception as e:
+			raise RuntimeError(f'Failed to load system prompt template: {e}')
+
+	def get_system_message(self) -> SystemMessage:
+		"""
+		Get the system prompt for the agent.
+
+		Returns:
+		    SystemMessage: Formatted system prompt
+		"""
+		return self.system_message
+
+
+# Functions:
+# {self.default_action_description}
+
+# Example:
+# {self.example_response()}
+# Your AVAILABLE ACTIONS:
+# {self.default_action_description}
+
+
+class AgentMessagePrompt:
+	def __init__(
+		self,
+		state: 'BrowserState',
+		result: list['ActionResult'] | None = None,
+		include_attributes: list[str] | None = None,
+		step_info: Optional['AgentStepInfo'] = None,
+	):
+		self.state = state
+		self.result = result
+		self.include_attributes = include_attributes or []
+		self.step_info = step_info
+
+	def get_user_message(self, use_vision: bool = True) -> HumanMessage:
+		elements_text = self.state.element_tree.clickable_elements_to_string(include_attributes=self.include_attributes)
+
+		has_content_above = (self.state.pixels_above or 0) > 0
+		has_content_below = (self.state.pixels_below or 0) > 0
+
+		if elements_text != '':
+			if has_content_above:
+				elements_text = (
+					f'... {self.state.pixels_above} pixels above - scroll or extract content to see more ...\n{elements_text}'
+				)
+			else:
+				elements_text = f'[Start of page]\n{elements_text}'
+			if has_content_below:
+				elements_text = (
+					f'{elements_text}\n... {self.state.pixels_below} pixels below - scroll or extract content to see more ...'
+				)
+			else:
+				elements_text = f'{elements_text}\n[End of page]'
+		else:
+			elements_text = 'empty page'
+
+		if self.step_info:
+			step_info_description = f'Current step: {self.step_info.step_number + 1}/{self.step_info.max_steps}'
+		else:
+			step_info_description = ''
+		time_str = datetime.now().strftime('%Y-%m-%d %H:%M')
+		step_info_description += f'Current date and time: {time_str}'
+
+		state_description = f"""
+[Task history memory ends]
+[Current state starts here]
+The following is one-time information - if you need to remember it write it to memory:
+Current url: {self.state.url}
+Available tabs:
+{self.state.tabs}
+Interactive elements from top layer of the current page inside the viewport:
+{elements_text}
+{step_info_description}
+"""
+
+		if self.result:
+			for i, result in enumerate(self.result):
+				if result.extracted_content:
+					state_description += f'\nAction result {i + 1}/{len(self.result)}: {result.extracted_content}'
+				if result.error:
+					# only use last line of error
+					error = result.error.split('\n')[-1]
+					state_description += f'\nAction error {i + 1}/{len(self.result)}: ...{error}'
+
+		if self.state.screenshot and use_vision is True:
+			# Format message for vision model
+			return HumanMessage(
+				content=[
+					{'type': 'text', 'text': state_description},
+					{
+						'type': 'image_url',
+						'image_url': {'url': f'data:image/png;base64,{self.state.screenshot}'},  # , 'detail': 'low'
+					},
+				]
+			)
+
+		return HumanMessage(content=state_description)
+
+
+class PlannerPrompt(SystemPrompt):
+	def __init__(self, available_actions: str):
+		self.available_actions = available_actions
+
+	def get_system_message(
+		self, is_planner_reasoning: bool, extended_planner_system_prompt: str | None = None
+	) -> SystemMessage | HumanMessage:
+		"""Get the system message for the planner.
+
+		Args:
+		    is_planner_reasoning: If True, return as HumanMessage for chain-of-thought
+		    extended_planner_system_prompt: Optional text to append to the base prompt
+
+		Returns:
+		    SystemMessage or HumanMessage depending on is_planner_reasoning
+		"""
+
+		planner_prompt_text = """
+You are a planning agent that helps break down tasks into smaller steps and reason about the current state.
+Your role is to:
+1. Analyze the current state and history
+2. Evaluate progress towards the ultimate goal
+3. Identify potential challenges or roadblocks
+4. Suggest the next high-level steps to take
+
+Inside your messages, there will be AI messages from different agents with different formats.
+
+Your output format should be always a JSON object with the following fields:
+{{
+    "state_analysis": "Brief analysis of the current state and what has been done so far",
+    "progress_evaluation": "Evaluation of progress towards the ultimate goal (as percentage and description)",
+    "challenges": "List any potential challenges or roadblocks",
+    "next_steps": "List 2-3 concrete next steps to take",
+    "reasoning": "Explain your reasoning for the suggested next steps"
+}}
+
+Ignore the other AI messages output structures.
+
+Keep your responses concise and focused on actionable insights.
+"""
+
+		if extended_planner_system_prompt:
+			planner_prompt_text += f'\n{extended_planner_system_prompt}'
+
+		if is_planner_reasoning:
+			return HumanMessage(content=planner_prompt_text)
+		else:
+			return SystemMessage(content=planner_prompt_text)
diff --git a/src/browser_use/agent/service.py b/src/browser_use/agent/service.py
new file mode 100644
index 00000000..fd97a59c
--- /dev/null
+++ b/src/browser_use/agent/service.py
@@ -0,0 +1,1505 @@
+import asyncio
+import gc
+import inspect
+import json
+import logging
+import os
+import re
+import sys
+import time
+from collections.abc import Awaitable, Callable
+from pathlib import Path
+from typing import Any, Generic, TypeVar
+
+from dotenv import load_dotenv
+from langchain_core.language_models.chat_models import BaseChatModel
+from langchain_core.messages import (
+	BaseMessage,
+	HumanMessage,
+	SystemMessage,
+)
+
+# from lmnr.sdk.decorators import observe
+from pydantic import BaseModel, ValidationError
+
+from browser_use.agent.gif import create_history_gif
+from browser_use.agent.memory.service import Memory
+from browser_use.agent.memory.views import MemoryConfig
+from browser_use.agent.message_manager.service import MessageManager, MessageManagerSettings
+from browser_use.agent.message_manager.utils import (
+	convert_input_messages,
+	extract_json_from_model_output,
+	is_model_without_tool_support,
+	save_conversation,
+)
+from browser_use.agent.prompts import AgentMessagePrompt, PlannerPrompt, SystemPrompt
+from browser_use.agent.views import (
+	REQUIRED_LLM_API_ENV_VARS,
+	ActionResult,
+	AgentError,
+	AgentHistory,
+	AgentHistoryList,
+	AgentOutput,
+	AgentSettings,
+	AgentState,
+	AgentStepInfo,
+	StepMetadata,
+	ToolCallingMethod,
+)
+from browser_use.browser.browser import Browser
+from browser_use.browser.context import BrowserContext
+from browser_use.browser.views import BrowserState, BrowserStateHistory
+from browser_use.controller.registry.views import ActionModel
+from browser_use.controller.service import Controller
+from browser_use.dom.history_tree_processor.service import (
+	DOMHistoryElement,
+	HistoryTreeProcessor,
+)
+from browser_use.exceptions import LLMException
+from browser_use.telemetry.service import ProductTelemetry
+from browser_use.telemetry.views import (
+	AgentTelemetryEvent,
+)
+from browser_use.utils import check_env_variables, time_execution_async, time_execution_sync
+
+from src.outputdata.output_data import write_data_to_file
+
+load_dotenv()
+logger = logging.getLogger(__name__)
+
+	
+
+SKIP_LLM_API_KEY_VERIFICATION = os.environ.get('SKIP_LLM_API_KEY_VERIFICATION', 'false').lower()[0] in 'ty1'
+
+
+def log_response(response: AgentOutput) -> None:
+	"""Utility function to log the model's response."""
+	logger.info(f"🔄 [DEBUG] log_response function ENTERED")
+
+	if 'Success' in response.current_state.evaluation_previous_goal:
+		emoji = '👍'
+	elif 'Failed' in response.current_state.evaluation_previous_goal:
+		emoji = '⚠'
+	else:
+		emoji = '🤷'
+
+	
+
+	logger.info(f'{emoji} Eval: {response.current_state.evaluation_previous_goal}')
+	logger.info(f'🧠 Memory: {response.current_state.memory}')
+	logger.info(f'🎯 Next goal: {response.current_state.next_goal}')
+	for i, action in enumerate(response.action):
+		logger.info(f'🛠️  Action {i + 1}/{len(response.action)}: {action.model_dump_json(exclude_unset=True)}')
+	
+	# Write data to file for browser-use agent
+	try:
+		logger.info(f"🔄 [DEBUG] log_response function called - starting write_data_to_file")
+		logger.info(f"Writing data to file for agent 'Browser Use Agent'")
+		logger.info(f"Current working directory: {os.getcwd()}")
+		logger.info(f"Python path: {sys.path[:3]}...")  # Show first 3 paths
+		# Convert actions to serializable format
+		serializable_actions = []
+		for action in response.action:
+			if hasattr(action, 'model_dump'):
+				serializable_actions.append(action.model_dump())
+			elif hasattr(action, 'dict'):
+				serializable_actions.append(action.dict())
+			else:
+				serializable_actions.append(str(action))
+		
+		# Get final result from the last action if it's a 'done' action
+		final_result = None
+		for action in response.action:
+			if hasattr(action, 'done') and action.done:
+				if hasattr(action.done, 'text'):
+					final_result = action.done.text
+				elif isinstance(action.done, dict) and 'text' in action.done:
+					final_result = action.done['text']
+				break
+		
+		logger.info(f"[SERVICE] Writing data to file for agent 'Browser Use Agent'")
+		logger.info(f"[SERVICE] Function type: {type(write_data_to_file)}")
+		write_data_to_file(
+			agents_name="Browser Use Agent",
+			evaluation=response.current_state.evaluation_previous_goal,
+			memory=response.current_state.memory,
+			next_goal=response.current_state.next_goal,
+			actions=serializable_actions,
+			final_result=final_result
+		)
+		logger.info(f"[SERVICE] Successfully called write_data_to_file")
+	except Exception as e:
+		logger.warning(f"Failed to write browser-use agent data to file: {e}")
+
+
+Context = TypeVar('Context')
+
+AgentHookFunc = Callable[['Agent'], Awaitable[None]]
+
+
+class Agent(Generic[Context]):
+	@time_execution_sync('--init (agent)')
+	def __init__(
+		self,
+		task: str,
+		llm: BaseChatModel,
+		# Optional parameters
+		browser: Browser | None = None,
+		browser_context: BrowserContext | None = None,
+		controller: Controller[Context] = Controller(),
+		# Initial agent run parameters
+		sensitive_data: dict[str, str] | None = None,
+		initial_actions: list[dict[str, dict[str, Any]]] | None = None,
+		# Cloud Callbacks
+		register_new_step_callback: (
+			Callable[['BrowserState', 'AgentOutput', int], None]  # Sync callback
+			| Callable[['BrowserState', 'AgentOutput', int], Awaitable[None]]  # Async callback
+			| None
+		) = None,
+		register_done_callback: (
+			Callable[['AgentHistoryList'], Awaitable[None]]  # Async Callback
+			| Callable[['AgentHistoryList'], None]  # Sync Callback
+			| None
+		) = None,
+		register_external_agent_status_raise_error_callback: Callable[[], Awaitable[bool]] | None = None,
+		# Agent settings
+		use_vision: bool = True,
+		use_vision_for_planner: bool = False,
+		save_conversation_path: str | None = None,
+		save_conversation_path_encoding: str | None = 'utf-8',
+		max_failures: int = 3,
+		retry_delay: int = 10,
+		override_system_message: str | None = None,
+		extend_system_message: str | None = None,
+		max_input_tokens: int = 128000,
+		validate_output: bool = False,
+		message_context: str | None = None,
+		generate_gif: bool | str = False,
+		available_file_paths: list[str] | None = None,
+		include_attributes: list[str] = [
+			'title',
+			'type',
+			'name',
+			'role',
+			'aria-label',
+			'placeholder',
+			'value',
+			'alt',
+			'aria-expanded',
+			'data-date-format',
+		],
+		max_actions_per_step: int = 10,
+		tool_calling_method: ToolCallingMethod | None = 'auto',
+		page_extraction_llm: BaseChatModel | None = None,
+		planner_llm: BaseChatModel | None = None,
+		planner_interval: int = 1,  # Run planner every N steps
+		is_planner_reasoning: bool = False,
+		extend_planner_system_message: str | None = None,
+		injected_agent_state: AgentState | None = None,
+		context: Context | None = None,
+		save_playwright_script_path: str | None = None,
+		enable_memory: bool = True,
+		memory_config: MemoryConfig | None = None,
+		source: str | None = None,
+	):
+		if page_extraction_llm is None:
+			page_extraction_llm = llm
+
+		# Core components
+		self.task = task
+		self.llm = llm
+		self.controller = controller
+		self.sensitive_data = sensitive_data
+
+		self.settings = AgentSettings(
+			use_vision=use_vision,
+			use_vision_for_planner=use_vision_for_planner,
+			save_conversation_path=save_conversation_path,
+			save_conversation_path_encoding=save_conversation_path_encoding,
+			max_failures=max_failures,
+			retry_delay=retry_delay,
+			override_system_message=override_system_message,
+			extend_system_message=extend_system_message,
+			max_input_tokens=max_input_tokens,
+			validate_output=validate_output,
+			message_context=message_context,
+			generate_gif=generate_gif,
+			available_file_paths=available_file_paths,
+			include_attributes=include_attributes,
+			max_actions_per_step=max_actions_per_step,
+			tool_calling_method=tool_calling_method,
+			page_extraction_llm=page_extraction_llm,
+			planner_llm=planner_llm,
+			planner_interval=planner_interval,
+			is_planner_reasoning=is_planner_reasoning,
+			save_playwright_script_path=save_playwright_script_path,
+			extend_planner_system_message=extend_planner_system_message,
+		)
+
+		# Memory settings
+		self.enable_memory = enable_memory
+		self.memory_config = memory_config
+
+		# Initialize state
+		self.state = injected_agent_state or AgentState()
+
+		# Action setup
+		self._setup_action_models()
+		self._set_browser_use_version_and_source(source)
+		self.initial_actions = self._convert_initial_actions(initial_actions) if initial_actions else None
+
+		# Model setup
+		self._set_model_names()
+		self.tool_calling_method = self._set_tool_calling_method()
+
+		# Handle users trying to use use_vision=True with DeepSeek models
+		if 'deepseek' in self.model_name.lower():
+			logger.warning('⚠️ DeepSeek models do not support use_vision=True yet. Setting use_vision=False for now...')
+			self.settings.use_vision = False
+		if 'deepseek' in (self.planner_model_name or '').lower():
+			logger.warning(
+				'⚠️ DeepSeek models do not support use_vision=True yet. Setting use_vision_for_planner=False for now...'
+			)
+			self.settings.use_vision_for_planner = False
+		# Handle users trying to use use_vision=True with XAI models
+		if 'grok' in self.model_name.lower():
+			logger.warning('⚠️ XAI models do not support use_vision=True yet. Setting use_vision=False for now...')
+			self.settings.use_vision = False
+		if 'grok' in (self.planner_model_name or '').lower():
+			logger.warning('⚠️ XAI models do not support use_vision=True yet. Setting use_vision_for_planner=False for now...')
+			self.settings.use_vision_for_planner = False
+
+		logger.info(
+			f'🧠 Starting an agent with main_model={self.model_name}'
+			f'{" +tools" if self.tool_calling_method == "function_calling" else ""}'
+			f'{" +rawtools" if self.tool_calling_method == "raw" else ""}'
+			f'{" +vision" if self.settings.use_vision else ""}'
+			f'{" +memory" if self.enable_memory else ""}, '
+			f'planner_model={self.planner_model_name}'
+			f'{" +reasoning" if self.settings.is_planner_reasoning else ""}'
+			f'{" +vision" if self.settings.use_vision_for_planner else ""}, '
+			f'extraction_model={getattr(self.settings.page_extraction_llm, "model_name", None)} '
+		)
+
+		# Verify we can connect to the LLM
+		self._verify_llm_connection()
+
+		# Initialize available actions for system prompt (only non-filtered actions)
+		# These will be used for the system prompt to maintain caching
+		self.unfiltered_actions = self.controller.registry.get_prompt_description()
+
+		self.settings.message_context = self._set_message_context()
+
+		# Initialize message manager with state
+		# Initial system prompt with all actions - will be updated during each step
+		self._message_manager = MessageManager(
+			task=task,
+			system_message=SystemPrompt(
+				action_description=self.unfiltered_actions,
+				max_actions_per_step=self.settings.max_actions_per_step,
+				override_system_message=override_system_message,
+				extend_system_message=extend_system_message,
+			).get_system_message(),
+			settings=MessageManagerSettings(
+				max_input_tokens=self.settings.max_input_tokens,
+				include_attributes=self.settings.include_attributes,
+				message_context=self.settings.message_context,
+				sensitive_data=sensitive_data,
+				available_file_paths=self.settings.available_file_paths,
+			),
+			state=self.state.message_manager_state,
+		)
+
+		if self.enable_memory:
+			try:
+				# Initialize memory
+				self.memory = Memory(
+					message_manager=self._message_manager,
+					llm=self.llm,
+					config=self.memory_config,
+				)
+			except ImportError:
+				logger.warning(
+					'⚠️ Agent(enable_memory=True) is set but missing some required packages, install and re-run to use memory features: pip install browser-use[memory]'
+				)
+				self.memory = None
+				self.enable_memory = False
+		else:
+			self.memory = None
+
+		# Browser setup
+		self.injected_browser = browser is not None
+		self.injected_browser_context = browser_context is not None
+		self.browser = browser or Browser()
+		self.browser.config.new_context_config.disable_security = self.browser.config.disable_security
+		self.browser_context = browser_context or BrowserContext(
+			browser=self.browser, config=self.browser.config.new_context_config
+		)
+
+		# Huge security warning if sensitive_data is provided but allowed_domains is not set
+		if self.sensitive_data and not self.browser_context.config.allowed_domains:
+			logger.error(
+				'⚠️⚠️⚠️ Agent(sensitive_data=••••••••) was provided but BrowserContextConfig(allowed_domains=[...]) is not locked down! ⚠️⚠️⚠️\n'
+				'          ☠️ If the agent visits a malicious website and encounters a prompt-injection attack, your sensitive_data may be exposed!\n\n'
+				'             https://docs.browser-use.com/customize/browser-settings#restrict-urls\n'
+				'Waiting 10 seconds before continuing... Press [Ctrl+C] to abort.'
+			)
+			if sys.stdin.isatty():
+				try:
+					time.sleep(10)
+				except KeyboardInterrupt:
+					print(
+						'\n\n 🛑 Exiting now... set BrowserContextConfig(allowed_domains=["example.com", "example.org"]) to only domains you trust to see your sensitive_data.'
+					)
+					sys.exit(0)
+			else:
+				pass  # no point waiting if we're not in an interactive shell
+			logger.warning('‼️ Continuing with insecure settings for now... but this will become a hard error in the future!')
+
+		# Callbacks
+		self.register_new_step_callback = register_new_step_callback
+		self.register_done_callback = register_done_callback
+		self.register_external_agent_status_raise_error_callback = register_external_agent_status_raise_error_callback
+
+		# Context
+		self.context = context
+
+		# Telemetry
+		self.telemetry = ProductTelemetry()
+
+		if self.settings.save_conversation_path:
+			logger.info(f'Saving conversation to {self.settings.save_conversation_path}')
+
+	def _set_message_context(self) -> str | None:
+		if self.tool_calling_method == 'raw':
+			# For raw tool calling, only include actions with no filters initially
+			if self.settings.message_context:
+				self.settings.message_context += f'\n\nAvailable actions: {self.unfiltered_actions}'
+			else:
+				self.settings.message_context = f'Available actions: {self.unfiltered_actions}'
+		return self.settings.message_context
+
+	def _set_browser_use_version_and_source(self, source_override: str | None = None) -> None:
+		"""Get the version and source of the browser-use package (git or pip in a nutshell)"""
+		try:
+			# First check for repository-specific files
+			repo_files = ['.git', 'README.md', 'docs', 'examples']
+			package_root = Path(__file__).parent.parent.parent
+
+			# If all of these files/dirs exist, it's likely from git
+			if all(Path(package_root / file).exists() for file in repo_files):
+				try:
+					import subprocess
+
+					version = subprocess.check_output(['git', 'describe', '--tags']).decode('utf-8').strip()
+				except Exception:
+					version = 'unknown'
+				source = 'git'
+			else:
+				# If no repo files found, try getting version from pip
+				from importlib.metadata import version
+
+				version = version('browser-use')
+				source = 'pip'
+		except Exception:
+			version = 'unknown'
+			source = 'unknown'
+		if source_override is not None:
+			source = source_override
+		logger.debug(f'Version: {version}, Source: {source}')
+		self.version = version
+		self.source = source
+
+	def _set_model_names(self) -> None:
+		self.chat_model_library = self.llm.__class__.__name__
+		self.model_name = 'Unknown'
+		if hasattr(self.llm, 'model_name'):
+			model = self.llm.model_name  # type: ignore
+			self.model_name = model if model is not None else 'Unknown'
+		elif hasattr(self.llm, 'model'):
+			model = self.llm.model  # type: ignore
+			self.model_name = model if model is not None else 'Unknown'
+
+		if self.settings.planner_llm:
+			if hasattr(self.settings.planner_llm, 'model_name'):
+				self.planner_model_name = self.settings.planner_llm.model_name  # type: ignore
+			elif hasattr(self.settings.planner_llm, 'model'):
+				self.planner_model_name = self.settings.planner_llm.model  # type: ignore
+			else:
+				self.planner_model_name = 'Unknown'
+		else:
+			self.planner_model_name = None
+
+	def _setup_action_models(self) -> None:
+		"""Setup dynamic action models from controller's registry"""
+		# Initially only include actions with no filters
+		self.ActionModel = self.controller.registry.create_action_model()
+		# Create output model with the dynamic actions
+		self.AgentOutput = AgentOutput.type_with_custom_actions(self.ActionModel)
+
+		# used to force the done action when max_steps is reached
+		self.DoneActionModel = self.controller.registry.create_action_model(include_actions=['done'])
+		self.DoneAgentOutput = AgentOutput.type_with_custom_actions(self.DoneActionModel)
+
+	def _set_tool_calling_method(self) -> ToolCallingMethod | None:
+		tool_calling_method = self.settings.tool_calling_method
+		if tool_calling_method == 'auto':
+			if is_model_without_tool_support(self.model_name):
+				return 'raw'
+			elif self.chat_model_library == 'ChatGoogleGenerativeAI':
+				return None
+			elif self.chat_model_library == 'ChatOpenAI':
+				return 'function_calling'
+			elif self.chat_model_library == 'AzureChatOpenAI':
+				# Azure OpenAI API requires 'tools' parameter for GPT-4
+				# The error 'content must be either a string or an array' occurs when
+				# the API expects a tools array but gets something else
+				if 'gpt-4' in self.model_name.lower():
+					return 'tools'
+				else:
+					return 'function_calling'
+			else:
+				return None
+		else:
+			return tool_calling_method
+
+	def add_new_task(self, new_task: str) -> None:
+		self._message_manager.add_new_task(new_task)
+
+	async def _raise_if_stopped_or_paused(self) -> None:
+		"""Utility function that raises an InterruptedError if the agent is stopped or paused."""
+
+		if self.register_external_agent_status_raise_error_callback:
+			if await self.register_external_agent_status_raise_error_callback():
+				raise InterruptedError
+
+		if self.state.stopped or self.state.paused:
+			# logger.debug('Agent paused after getting state')
+			raise InterruptedError
+
+	# @observe(name='agent.step', ignore_output=True, ignore_input=True)
+	@time_execution_async('--step (agent)')
+	async def step(self, step_info: AgentStepInfo | None = None) -> None:
+		"""Execute one step of the task"""
+		logger.info(f'📍 Step {self.state.n_steps}')
+		state = None
+		model_output = None
+		result: list[ActionResult] = []
+		step_start_time = time.time()
+		tokens = 0
+
+		try:
+			state = await self.browser_context.get_state(cache_clickable_elements_hashes=True)
+			current_page = await self.browser_context.get_current_page()
+
+			# generate procedural memory if needed
+			if self.enable_memory and self.memory and self.state.n_steps % self.memory.config.memory_interval == 0:
+				self.memory.create_procedural_memory(self.state.n_steps)
+
+			await self._raise_if_stopped_or_paused()
+
+			# Update action models with page-specific actions
+			await self._update_action_models_for_page(current_page)
+
+			# Get page-specific filtered actions
+			page_filtered_actions = self.controller.registry.get_prompt_description(current_page)
+
+			# If there are page-specific actions, add them as a special message for this step only
+			if page_filtered_actions:
+				page_action_message = f'For this page, these additional actions are available:\n{page_filtered_actions}'
+				self._message_manager._add_message_with_tokens(HumanMessage(content=page_action_message))
+
+			# If using raw tool calling method, we need to update the message context with new actions
+			if self.tool_calling_method == 'raw':
+				# For raw tool calling, get all non-filtered actions plus the page-filtered ones
+				all_unfiltered_actions = self.controller.registry.get_prompt_description()
+				all_actions = all_unfiltered_actions
+				if page_filtered_actions:
+					all_actions += '\n' + page_filtered_actions
+
+				context_lines = (self._message_manager.settings.message_context or '').split('\n')
+				non_action_lines = [line for line in context_lines if not line.startswith('Available actions:')]
+				updated_context = '\n'.join(non_action_lines)
+				if updated_context:
+					updated_context += f'\n\nAvailable actions: {all_actions}'
+				else:
+					updated_context = f'Available actions: {all_actions}'
+				self._message_manager.settings.message_context = updated_context
+
+			self._message_manager.add_state_message(state, self.state.last_result, step_info, self.settings.use_vision)
+
+			# Run planner at specified intervals if planner is configured
+			if self.settings.planner_llm and self.state.n_steps % self.settings.planner_interval == 0:
+				plan = await self._run_planner()
+				# add plan before last state message
+				self._message_manager.add_plan(plan, position=-1)
+
+			if step_info and step_info.is_last_step():
+				# Add last step warning if needed
+				msg = 'Now comes your last step. Use only the "done" action now. No other actions - so here your action sequence must have length 1.'
+				msg += '\nIf the task is not yet fully finished as requested by the user, set success in "done" to false! E.g. if not all steps are fully completed.'
+				msg += '\nIf the task is fully finished, set success in "done" to true.'
+				msg += '\nInclude everything you found out for the ultimate task in the done text.'
+				logger.info('Last step finishing up')
+				self._message_manager._add_message_with_tokens(HumanMessage(content=msg))
+				self.AgentOutput = self.DoneAgentOutput
+
+			input_messages = self._message_manager.get_messages()
+			tokens = self._message_manager.state.history.current_tokens
+
+			try:
+				model_output = await self.get_next_action(input_messages)
+				if (
+					not model_output.action
+					or not isinstance(model_output.action, list)
+					or all(action.model_dump() == {} for action in model_output.action)
+				):
+					logger.warning('Model returned empty action. Retrying...')
+
+					clarification_message = HumanMessage(
+						content='You forgot to return an action. Please respond only with a valid JSON action according to the expected format.'
+					)
+
+					retry_messages = input_messages + [clarification_message]
+					model_output = await self.get_next_action(retry_messages)
+
+					if not model_output.action or all(action.model_dump() == {} for action in model_output.action):
+						logger.warning('Model still returned empty after retry. Inserting safe noop action.')
+						action_instance = self.ActionModel(
+							done={
+								'success': False,
+								'text': 'No next action returned by LLM!',
+							}
+						)
+						model_output.action = [action_instance]
+
+				# Check again for paused/stopped state after getting model output
+				await self._raise_if_stopped_or_paused()
+
+				self.state.n_steps += 1
+
+				if self.register_new_step_callback:
+					if inspect.iscoroutinefunction(self.register_new_step_callback):
+						await self.register_new_step_callback(state, model_output, self.state.n_steps)
+					else:
+						self.register_new_step_callback(state, model_output, self.state.n_steps)
+				if self.settings.save_conversation_path:
+					target = self.settings.save_conversation_path + f'_{self.state.n_steps}.txt'
+					save_conversation(input_messages, model_output, target, self.settings.save_conversation_path_encoding)
+
+				self._message_manager._remove_last_state_message()  # we dont want the whole state in the chat history
+
+				# check again if Ctrl+C was pressed before we commit the output to history
+				await self._raise_if_stopped_or_paused()
+
+				self._message_manager.add_model_output(model_output)
+			except asyncio.CancelledError:
+				# Task was cancelled due to Ctrl+C
+				self._message_manager._remove_last_state_message()
+				raise InterruptedError('Model query cancelled by user')
+			except InterruptedError:
+				# Agent was paused during get_next_action
+				self._message_manager._remove_last_state_message()
+				raise  # Re-raise to be caught by the outer try/except
+			except Exception as e:
+				# model call failed, remove last state message from history
+				self._message_manager._remove_last_state_message()
+				raise e
+
+			result: list[ActionResult] = await self.multi_act(model_output.action)
+
+			self.state.last_result = result
+
+			if len(result) > 0 and result[-1].is_done:
+				logger.info(f'📄 Result: {result[-1].extracted_content}')
+
+			self.state.consecutive_failures = 0
+
+		except InterruptedError:
+			# logger.debug('Agent paused')
+			self.state.last_result = [
+				ActionResult(
+					error='The agent was paused mid-step - the last action might need to be repeated', include_in_memory=False
+				)
+			]
+			return
+		except asyncio.CancelledError:
+			# Directly handle the case where the step is cancelled at a higher level
+			# logger.debug('Task cancelled - agent was paused with Ctrl+C')
+			self.state.last_result = [ActionResult(error='The agent was paused with Ctrl+C', include_in_memory=False)]
+			raise InterruptedError('Step cancelled by user')
+		except Exception as e:
+			result = await self._handle_step_error(e)
+			self.state.last_result = result
+
+		finally:
+			step_end_time = time.time()
+			if not result:
+				return
+
+			if state:
+				metadata = StepMetadata(
+					step_number=self.state.n_steps,
+					step_start_time=step_start_time,
+					step_end_time=step_end_time,
+					input_tokens=tokens,
+				)
+				self._make_history_item(model_output, state, result, metadata)
+
+	@time_execution_async('--handle_step_error (agent)')
+	async def _handle_step_error(self, error: Exception) -> list[ActionResult]:
+		"""Handle all types of errors that can occur during a step"""
+		include_trace = logger.isEnabledFor(logging.DEBUG)
+		error_msg = AgentError.format_error(error, include_trace=include_trace)
+		prefix = f'❌ Result failed {self.state.consecutive_failures + 1}/{self.settings.max_failures} times:\n '
+		self.state.consecutive_failures += 1
+
+		if 'Browser closed' in error_msg:
+			logger.error('❌  Browser is closed or disconnected, unable to proceed')
+			return [ActionResult(error='Browser closed or disconnected, unable to proceed', include_in_memory=False)]
+
+		if isinstance(error, (ValidationError, ValueError)):
+			logger.error(f'{prefix}{error_msg}')
+			if 'Max token limit reached' in error_msg:
+				# cut tokens from history
+				self._message_manager.settings.max_input_tokens = self.settings.max_input_tokens - 500
+				logger.info(
+					f'Cutting tokens from history - new max input tokens: {self._message_manager.settings.max_input_tokens}'
+				)
+				self._message_manager.cut_messages()
+			elif 'Could not parse response' in error_msg:
+				# give model a hint how output should look like
+				error_msg += '\n\nReturn a valid JSON object with the required fields.'
+
+		else:
+			from anthropic import RateLimitError as AnthropicRateLimitError
+			from google.api_core.exceptions import ResourceExhausted
+			from openai import RateLimitError
+
+			# Define a tuple of rate limit error types for easier maintenance
+			RATE_LIMIT_ERRORS = (
+				RateLimitError,  # OpenAI
+				ResourceExhausted,  # Google
+				AnthropicRateLimitError,  # Anthropic
+			)
+
+			if isinstance(error, RATE_LIMIT_ERRORS):
+				logger.warning(f'{prefix}{error_msg}')
+				await asyncio.sleep(self.settings.retry_delay)
+			else:
+				logger.error(f'{prefix}{error_msg}')
+
+		return [ActionResult(error=error_msg, include_in_memory=True)]
+
+	def _make_history_item(
+		self,
+		model_output: AgentOutput | None,
+		state: BrowserState,
+		result: list[ActionResult],
+		metadata: StepMetadata | None = None,
+	) -> None:
+		"""Create and store history item"""
+
+		if model_output:
+			interacted_elements = AgentHistory.get_interacted_element(model_output, state.selector_map)
+		else:
+			interacted_elements = [None]
+
+		state_history = BrowserStateHistory(
+			url=state.url,
+			title=state.title,
+			tabs=state.tabs,
+			interacted_element=interacted_elements,
+			screenshot=state.screenshot,
+		)
+
+		history_item = AgentHistory(model_output=model_output, result=result, state=state_history, metadata=metadata)
+
+		self.state.history.history.append(history_item)
+
+	THINK_TAGS = re.compile(r'<think>.*?</think>', re.DOTALL)
+	STRAY_CLOSE_TAG = re.compile(r'.*?</think>', re.DOTALL)
+
+	def _remove_think_tags(self, text: str) -> str:
+		# Step 1: Remove well-formed <think>...</think>
+		text = re.sub(self.THINK_TAGS, '', text)
+		# Step 2: If there's an unmatched closing tag </think>,
+		#         remove everything up to and including that.
+		text = re.sub(self.STRAY_CLOSE_TAG, '', text)
+		return text.strip()
+
+	def _convert_input_messages(self, input_messages: list[BaseMessage]) -> list[BaseMessage]:
+		"""Convert input messages to the correct format"""
+		if is_model_without_tool_support(self.model_name):
+			return convert_input_messages(input_messages, self.model_name)
+		else:
+			return input_messages
+
+	@time_execution_async('--get_next_action (agent)')
+	async def get_next_action(self, input_messages: list[BaseMessage]) -> AgentOutput:
+		"""Get next action from LLM based on current state"""
+		input_messages = self._convert_input_messages(input_messages)
+
+		if self.tool_calling_method == 'raw':
+			logger.debug(f'Using {self.tool_calling_method} for {self.chat_model_library}')
+			try:
+				output = self.llm.invoke(input_messages)
+				response = {'raw': output, 'parsed': None}
+			except Exception as e:
+				logger.error(f'Failed to invoke model: {str(e)}')
+				raise LLMException(401, 'LLM API call failed') from e
+			# TODO: currently invoke does not return reasoning_content, we should override invoke
+			output.content = self._remove_think_tags(str(output.content))
+			try:
+				parsed_json = extract_json_from_model_output(output.content)
+				parsed = self.AgentOutput(**parsed_json)
+				response['parsed'] = parsed
+			except (ValueError, ValidationError) as e:
+				logger.warning(f'Failed to parse model output: {output} {str(e)}')
+				raise ValueError('Could not parse response.')
+
+		elif self.tool_calling_method is None:
+			structured_llm = self.llm.with_structured_output(self.AgentOutput, include_raw=True)
+			try:
+				response: dict[str, Any] = await structured_llm.ainvoke(input_messages)  # type: ignore
+				parsed: AgentOutput | None = response['parsed']
+
+			except Exception as e:
+				logger.error(f'Failed to invoke model: {str(e)}')
+				raise LLMException(401, 'LLM API call failed') from e
+
+		else:
+			logger.debug(f'Using {self.tool_calling_method} for {self.chat_model_library}')
+			structured_llm = self.llm.with_structured_output(self.AgentOutput, include_raw=True, method=self.tool_calling_method)
+			response: dict[str, Any] = await structured_llm.ainvoke(input_messages)  # type: ignore
+
+		# Handle tool call responses
+		if response.get('parsing_error') and 'raw' in response:
+			raw_msg = response['raw']
+			if hasattr(raw_msg, 'tool_calls') and raw_msg.tool_calls:
+				# Convert tool calls to AgentOutput format
+
+				tool_call = raw_msg.tool_calls[0]  # Take first tool call
+
+				# Create current state
+				tool_call_name = tool_call['name']
+				tool_call_args = tool_call['args']
+
+				current_state = {
+					'page_summary': 'Processing tool call',
+					'evaluation_previous_goal': 'Executing action',
+					'memory': 'Using tool call',
+					'next_goal': f'Execute {tool_call_name}',
+				}
+
+				# Create action from tool call
+				action = {tool_call_name: tool_call_args}
+
+				parsed = self.AgentOutput(current_state=current_state, action=[self.ActionModel(**action)])
+			else:
+				parsed = None
+		else:
+			parsed = response['parsed']
+
+		if not parsed:
+			try:
+				parsed_json = extract_json_from_model_output(response['raw'].content)
+				parsed = self.AgentOutput(**parsed_json)
+			except Exception as e:
+				logger.warning(f'Failed to parse model output: {response["raw"].content} {str(e)}')
+				raise ValueError('Could not parse response.')
+
+		# cut the number of actions to max_actions_per_step if needed
+		if len(parsed.action) > self.settings.max_actions_per_step:
+			parsed.action = parsed.action[: self.settings.max_actions_per_step]
+
+		if not (hasattr(self.state, 'paused') and (self.state.paused or self.state.stopped)):
+			log_response(parsed)
+
+		return parsed
+
+	def _log_agent_run(self) -> None:
+		"""Log the agent run"""
+		logger.info(f'🚀 Starting task: {self.task}')
+
+		logger.debug(f'Version: {self.version}, Source: {self.source}')
+
+	def _log_agent_event(self, max_steps: int, agent_run_error: str | None = None) -> None:
+		"""Sent the agent event for this run to telemetry"""
+
+		# Prepare action_history data correctly
+		action_history_data = []
+		for item in self.state.history.history:
+			if item.model_output and item.model_output.action:
+				# Convert each ActionModel in the step to its dictionary representation
+				step_actions = [
+					action.model_dump(exclude_unset=True)
+					for action in item.model_output.action
+					if action  # Ensure action is not None if list allows it
+				]
+				action_history_data.append(step_actions)
+			else:
+				# Append None or [] if a step had no actions or no model output
+				action_history_data.append(None)
+
+		final_res = self.state.history.final_result()
+		final_result_str = json.dumps(final_res) if final_res is not None else None
+
+		self.telemetry.capture(
+			AgentTelemetryEvent(
+				task=self.task,
+				model=self.model_name,
+				model_provider=self.chat_model_library,
+				planner_llm=self.planner_model_name,
+				max_steps=max_steps,
+				max_actions_per_step=self.settings.max_actions_per_step,
+				use_vision=self.settings.use_vision,
+				use_validation=self.settings.validate_output,
+				version=self.version,
+				source=self.source,
+				action_errors=self.state.history.errors(),
+				action_history=action_history_data,
+				urls_visited=self.state.history.urls(),
+				steps=self.state.n_steps,
+				total_input_tokens=self.state.history.total_input_tokens(),
+				total_duration_seconds=self.state.history.total_duration_seconds(),
+				success=self.state.history.is_successful(),
+				final_result_response=final_result_str,
+				error_message=agent_run_error,
+			)
+		)
+
+	async def take_step(self) -> tuple[bool, bool]:
+		"""Take a step
+
+		Returns:
+			Tuple[bool, bool]: (is_done, is_valid)
+		"""
+		await self.step()
+
+		if self.state.history.is_done():
+			if self.settings.validate_output:
+				if not await self._validate_output():
+					return True, False
+
+			await self.log_completion()
+			if self.register_done_callback:
+				if inspect.iscoroutinefunction(self.register_done_callback):
+					await self.register_done_callback(self.state.history)
+				else:
+					self.register_done_callback(self.state.history)
+			return True, True
+
+		return False, False
+
+	# @observe(name='agent.run', ignore_output=True)
+	@time_execution_async('--run (agent)')
+	async def run(
+		self, max_steps: int = 100, on_step_start: AgentHookFunc | None = None, on_step_end: AgentHookFunc | None = None
+	) -> AgentHistoryList:
+		"""Execute the task with maximum number of steps"""
+
+		loop = asyncio.get_event_loop()
+		agent_run_error: str | None = None  # Initialize error tracking variable
+		self._force_exit_telemetry_logged = False  # ADDED: Flag for custom telemetry on force exit
+
+		# Set up the Ctrl+C signal handler with callbacks specific to this agent
+		from browser_use.utils import SignalHandler
+
+		# Define the custom exit callback function for second CTRL+C
+		def on_force_exit_log_telemetry():
+			self._log_agent_event(max_steps=max_steps, agent_run_error='SIGINT: Cancelled by user')
+			# NEW: Call the flush method on the telemetry instance
+			if hasattr(self, 'telemetry') and self.telemetry:
+				self.telemetry.flush()
+			self._force_exit_telemetry_logged = True  # Set the flag
+
+		signal_handler = SignalHandler(
+			loop=loop,
+			pause_callback=self.pause,
+			resume_callback=self.resume,
+			custom_exit_callback=on_force_exit_log_telemetry,  # Pass the new telemetrycallback
+			exit_on_second_int=True,
+		)
+		signal_handler.register()
+
+		try:
+			self._log_agent_run()
+
+			# Execute initial actions if provided
+			if self.initial_actions:
+				result = await self.multi_act(self.initial_actions, check_for_new_elements=False)
+				self.state.last_result = result
+
+			for step in range(max_steps):
+				# Check if waiting for user input after Ctrl+C
+				if self.state.paused:
+					signal_handler.wait_for_resume()
+					signal_handler.reset()
+
+				# Check if we should stop due to too many failures
+				if self.state.consecutive_failures >= self.settings.max_failures:
+					logger.error(f'❌ Stopping due to {self.settings.max_failures} consecutive failures')
+					agent_run_error = f'Stopped due to {self.settings.max_failures} consecutive failures'
+					break
+
+				# Check control flags before each step
+				if self.state.stopped:
+					logger.info('Agent stopped')
+					agent_run_error = 'Agent stopped programmatically'
+					break
+
+				while self.state.paused:
+					await asyncio.sleep(0.2)  # Small delay to prevent CPU spinning
+					if self.state.stopped:  # Allow stopping while paused
+						agent_run_error = 'Agent stopped programmatically while paused'
+						break
+
+				if on_step_start is not None:
+					await on_step_start(self)
+
+				step_info = AgentStepInfo(step_number=step, max_steps=max_steps)
+				await self.step(step_info)
+
+				if on_step_end is not None:
+					await on_step_end(self)
+
+				if self.state.history.is_done():
+					if self.settings.validate_output and step < max_steps - 1:
+						if not await self._validate_output():
+							continue
+
+					await self.log_completion()
+					break
+			else:
+				agent_run_error = 'Failed to complete task in maximum steps'
+
+				self.state.history.history.append(
+					AgentHistory(
+						model_output=None,
+						result=[ActionResult(error=agent_run_error, include_in_memory=True)],
+						state=BrowserStateHistory(
+							url='',
+							title='',
+							tabs=[],
+							interacted_element=[],
+							screenshot=None,
+						),
+						metadata=None,
+					)
+				)
+
+				logger.info(f'❌ {agent_run_error}')
+
+			return self.state.history
+
+		except KeyboardInterrupt:
+			# Already handled by our signal handler, but catch any direct KeyboardInterrupt as well
+			logger.info('Got KeyboardInterrupt during execution, returning current history')
+			agent_run_error = 'KeyboardInterrupt'
+			return self.state.history
+
+		except Exception as e:
+			logger.error(f'Agent run failed with exception: {e}', exc_info=True)
+			agent_run_error = str(e)
+			raise e
+
+		finally:
+			# Unregister signal handlers before cleanup
+			signal_handler.unregister()
+
+			if not self._force_exit_telemetry_logged:  # MODIFIED: Check the flag
+				try:
+					self._log_agent_event(max_steps=max_steps, agent_run_error=agent_run_error)
+					logger.info('Agent run telemetry logged.')
+				except Exception as log_e:  # Catch potential errors during logging itself
+					logger.error(f'Failed to log telemetry event: {log_e}', exc_info=True)
+			else:
+				# ADDED: Info message when custom telemetry for SIGINT was already logged
+				logger.info('Telemetry for force exit (SIGINT) was logged by custom exit callback.')
+
+			if self.settings.save_playwright_script_path:
+				logger.info(
+					f'Agent run finished. Attempting to save Playwright script to: {self.settings.save_playwright_script_path}'
+				)
+				try:
+					# Extract sensitive data keys if sensitive_data is provided
+					keys = list(self.sensitive_data.keys()) if self.sensitive_data else None
+					# Pass browser and context config to the saving method
+					self.state.history.save_as_playwright_script(
+						self.settings.save_playwright_script_path,
+						sensitive_data_keys=keys,
+						browser_config=self.browser.config,
+						context_config=self.browser_context.config,
+					)
+				except Exception as script_gen_err:
+					# Log any error during script generation/saving
+					logger.error(f'Failed to save Playwright script: {script_gen_err}', exc_info=True)
+
+			await self.close()
+
+			if self.settings.generate_gif:
+				output_path: str = 'agent_history.gif'
+				if isinstance(self.settings.generate_gif, str):
+					output_path = self.settings.generate_gif
+
+				create_history_gif(task=self.task, history=self.state.history, output_path=output_path)
+
+	# @observe(name='controller.multi_act')
+	@time_execution_async('--multi-act (agent)')
+	async def multi_act(
+		self,
+		actions: list[ActionModel],
+		check_for_new_elements: bool = True,
+	) -> list[ActionResult]:
+		"""Execute multiple actions"""
+		results = []
+
+		cached_selector_map = await self.browser_context.get_selector_map()
+		cached_path_hashes = {e.hash.branch_path_hash for e in cached_selector_map.values()}
+
+		await self.browser_context.remove_highlights()
+
+		for i, action in enumerate(actions):
+			if action.get_index() is not None and i != 0:
+				new_state = await self.browser_context.get_state(cache_clickable_elements_hashes=False)
+				new_selector_map = new_state.selector_map
+
+				# Detect index change after previous action
+				orig_target = cached_selector_map.get(action.get_index())  # type: ignore
+				orig_target_hash = orig_target.hash.branch_path_hash if orig_target else None
+				new_target = new_selector_map.get(action.get_index())  # type: ignore
+				new_target_hash = new_target.hash.branch_path_hash if new_target else None
+				if orig_target_hash != new_target_hash:
+					msg = f'Element index changed after action {i} / {len(actions)}, because page changed.'
+					logger.info(msg)
+					results.append(ActionResult(extracted_content=msg, include_in_memory=True))
+					break
+
+				new_path_hashes = {e.hash.branch_path_hash for e in new_selector_map.values()}
+				if check_for_new_elements and not new_path_hashes.issubset(cached_path_hashes):
+					# next action requires index but there are new elements on the page
+					msg = f'Something new appeared after action {i} / {len(actions)}'
+					logger.info(msg)
+					results.append(ActionResult(extracted_content=msg, include_in_memory=True))
+					break
+
+			try:
+				await self._raise_if_stopped_or_paused()
+
+				result = await self.controller.act(
+					action,
+					self.browser_context,
+					self.settings.page_extraction_llm,
+					self.sensitive_data,
+					self.settings.available_file_paths,
+					context=self.context,
+				)
+
+				results.append(result)
+
+				logger.debug(f'Executed action {i + 1} / {len(actions)}')
+				if results[-1].is_done or results[-1].error or i == len(actions) - 1:
+					break
+
+				await asyncio.sleep(self.browser_context.config.wait_between_actions)
+				# hash all elements. if it is a subset of cached_state its fine - else break (new elements on page)
+
+			except asyncio.CancelledError:
+				# Gracefully handle task cancellation
+				logger.info(f'Action {i + 1} was cancelled due to Ctrl+C')
+				if not results:
+					# Add a result for the cancelled action
+					results.append(ActionResult(error='The action was cancelled due to Ctrl+C', include_in_memory=True))
+				raise InterruptedError('Action cancelled by user')
+
+		return results
+
+	async def _validate_output(self) -> bool:
+		"""Validate the output of the last action is what the user wanted"""
+		system_msg = (
+			f'You are a validator of an agent who interacts with a browser. '
+			f'Validate if the output of last action is what the user wanted and if the task is completed. '
+			f'If the task is unclear defined, you can let it pass. But if something is missing or the image does not show what was requested dont let it pass. '
+			f'Try to understand the page and help the model with suggestions like scroll, do x, ... to get the solution right. '
+			f'Task to validate: {self.task}. Return a JSON object with 2 keys: is_valid and reason. '
+			f'is_valid is a boolean that indicates if the output is correct. '
+			f'reason is a string that explains why it is valid or not.'
+			f' example: {{"is_valid": false, "reason": "The user wanted to search for "cat photos", but the agent searched for "dog photos" instead."}}'
+		)
+
+		if self.browser_context.session:
+			state = await self.browser_context.get_state(cache_clickable_elements_hashes=False)
+			content = AgentMessagePrompt(
+				state=state,
+				result=self.state.last_result,
+				include_attributes=self.settings.include_attributes,
+			)
+			msg = [SystemMessage(content=system_msg), content.get_user_message(self.settings.use_vision)]
+		else:
+			# if no browser session, we can't validate the output
+			return True
+
+		class ValidationResult(BaseModel):
+			"""
+			Validation results.
+			"""
+
+			is_valid: bool
+			reason: str
+
+		validator = self.llm.with_structured_output(ValidationResult, include_raw=True)
+		response: dict[str, Any] = await validator.ainvoke(msg)  # type: ignore
+		parsed: ValidationResult = response['parsed']
+		is_valid = parsed.is_valid
+		if not is_valid:
+			logger.info(f'❌ Validator decision: {parsed.reason}')
+			msg = f'The output is not yet correct. {parsed.reason}.'
+			self.state.last_result = [ActionResult(extracted_content=msg, include_in_memory=True)]
+		else:
+			logger.info(f'✅ Validator decision: {parsed.reason}')
+		return is_valid
+
+	async def log_completion(self) -> None:
+		"""Log the completion of the task"""
+		logger.info('✅ Task completed')
+		if self.state.history.is_successful():
+			logger.info('✅ Successfully')
+		else:
+			logger.info('❌ Unfinished')
+
+		total_tokens = self.state.history.total_input_tokens()
+		logger.info(f'📝 Total input tokens used (approximate): {total_tokens}')
+
+		if self.register_done_callback:
+			if inspect.iscoroutinefunction(self.register_done_callback):
+				await self.register_done_callback(self.state.history)
+			else:
+				self.register_done_callback(self.state.history)
+
+	async def rerun_history(
+		self,
+		history: AgentHistoryList,
+		max_retries: int = 3,
+		skip_failures: bool = True,
+		delay_between_actions: float = 2.0,
+	) -> list[ActionResult]:
+		"""
+		Rerun a saved history of actions with error handling and retry logic.
+
+		Args:
+				history: The history to replay
+				max_retries: Maximum number of retries per action
+				skip_failures: Whether to skip failed actions or stop execution
+				delay_between_actions: Delay between actions in seconds
+
+		Returns:
+				List of action results
+		"""
+		# Execute initial actions if provided
+		if self.initial_actions:
+			result = await self.multi_act(self.initial_actions)
+			self.state.last_result = result
+
+		results = []
+
+		for i, history_item in enumerate(history.history):
+			goal = history_item.model_output.current_state.next_goal if history_item.model_output else ''
+			logger.info(f'Replaying step {i + 1}/{len(history.history)}: goal: {goal}')
+
+			if (
+				not history_item.model_output
+				or not history_item.model_output.action
+				or history_item.model_output.action == [None]
+			):
+				logger.warning(f'Step {i + 1}: No action to replay, skipping')
+				results.append(ActionResult(error='No action to replay'))
+				continue
+
+			retry_count = 0
+			while retry_count < max_retries:
+				try:
+					result = await self._execute_history_step(history_item, delay_between_actions)
+					results.extend(result)
+					break
+
+				except Exception as e:
+					retry_count += 1
+					if retry_count == max_retries:
+						error_msg = f'Step {i + 1} failed after {max_retries} attempts: {str(e)}'
+						logger.error(error_msg)
+						if not skip_failures:
+							results.append(ActionResult(error=error_msg))
+							raise RuntimeError(error_msg)
+					else:
+						logger.warning(f'Step {i + 1} failed (attempt {retry_count}/{max_retries}), retrying...')
+						await asyncio.sleep(delay_between_actions)
+
+		return results
+
+	async def _execute_history_step(self, history_item: AgentHistory, delay: float) -> list[ActionResult]:
+		"""Execute a single step from history with element validation"""
+		state = await self.browser_context.get_state(cache_clickable_elements_hashes=False)
+		if not state or not history_item.model_output:
+			raise ValueError('Invalid state or model output')
+		updated_actions = []
+		for i, action in enumerate(history_item.model_output.action):
+			updated_action = await self._update_action_indices(
+				history_item.state.interacted_element[i],
+				action,
+				state,
+			)
+			updated_actions.append(updated_action)
+
+			if updated_action is None:
+				raise ValueError(f'Could not find matching element {i} in current page')
+
+		result = await self.multi_act(updated_actions)
+
+		await asyncio.sleep(delay)
+		return result
+
+	async def _update_action_indices(
+		self,
+		historical_element: DOMHistoryElement | None,
+		action: ActionModel,  # Type this properly based on your action model
+		current_state: BrowserState,
+	) -> ActionModel | None:
+		"""
+		Update action indices based on current page state.
+		Returns updated action or None if element cannot be found.
+		"""
+		if not historical_element or not current_state.element_tree:
+			return action
+
+		current_element = HistoryTreeProcessor.find_history_element_in_tree(historical_element, current_state.element_tree)
+
+		if not current_element or current_element.highlight_index is None:
+			return None
+
+		old_index = action.get_index()
+		if old_index != current_element.highlight_index:
+			action.set_index(current_element.highlight_index)
+			logger.info(f'Element moved in DOM, updated index from {old_index} to {current_element.highlight_index}')
+
+		return action
+
+	async def load_and_rerun(self, history_file: str | Path | None = None, **kwargs) -> list[ActionResult]:
+		"""
+		Load history from file and rerun it.
+
+		Args:
+				history_file: Path to the history file
+				**kwargs: Additional arguments passed to rerun_history
+		"""
+		if not history_file:
+			history_file = 'AgentHistory.json'
+		history = AgentHistoryList.load_from_file(history_file, self.AgentOutput)
+		return await self.rerun_history(history, **kwargs)
+
+	def save_history(self, file_path: str | Path | None = None) -> None:
+		"""Save the history to a file"""
+		if not file_path:
+			file_path = 'AgentHistory.json'
+		self.state.history.save_to_file(file_path)
+
+	def pause(self) -> None:
+		"""Pause the agent before the next step"""
+		print('\n\n⏸️  Got Ctrl+C, paused the agent and left the browser open.')
+		self.state.paused = True
+
+		# The signal handler will handle the asyncio pause logic for us
+		# No need to duplicate the code here
+
+	def resume(self) -> None:
+		"""Resume the agent"""
+		print('----------------------------------------------------------------------')
+		print('▶️  Got Enter, resuming agent execution where it left off...\n')
+		self.state.paused = False
+
+		# The signal handler should have already reset the flags
+		# through its reset() method when called from run()
+
+		# playwright browser is always immediately killed by the first Ctrl+C (no way to stop that)
+		# so we need to restart the browser if user wants to continue
+		if self.browser:
+			logger.info('🌎 Restarting/reconnecting to browser...')
+			loop = asyncio.get_event_loop()
+			loop.create_task(self.browser._init())
+			loop.create_task(asyncio.sleep(5))
+
+	def stop(self) -> None:
+		"""Stop the agent"""
+		logger.info('⏹️ Agent stopping')
+		self.state.stopped = True
+
+	def _convert_initial_actions(self, actions: list[dict[str, dict[str, Any]]]) -> list[ActionModel]:
+		"""Convert dictionary-based actions to ActionModel instances"""
+		converted_actions = []
+		action_model = self.ActionModel
+		for action_dict in actions:
+			# Each action_dict should have a single key-value pair
+			action_name = next(iter(action_dict))
+			params = action_dict[action_name]
+
+			# Get the parameter model for this action from registry
+			action_info = self.controller.registry.registry.actions[action_name]
+			param_model = action_info.param_model
+
+			# Create validated parameters using the appropriate param model
+			validated_params = param_model(**params)
+
+			# Create ActionModel instance with the validated parameters
+			action_model = self.ActionModel(**{action_name: validated_params})
+			converted_actions.append(action_model)
+
+		return converted_actions
+
+	def _verify_llm_connection(self) -> bool:
+		"""
+		Verify that the LLM API keys are setup and the LLM API is responding properly.
+		Helps prevent errors due to running out of API credits, missing env vars, or network issues.
+		"""
+		logger.debug(f'Verifying the {self.llm.__class__.__name__} LLM knows the capital of France...')
+
+		if getattr(self.llm, '_verified_api_keys', None) is True or SKIP_LLM_API_KEY_VERIFICATION:
+			# skip roundtrip connection test for speed in cloud environment
+			# If the LLM API keys have already been verified during a previous run, skip the test
+			self.llm._verified_api_keys = True
+			return True
+
+		# show a warning if it looks like any required environment variables are missing
+		required_keys = REQUIRED_LLM_API_ENV_VARS.get(self.llm.__class__.__name__, [])
+		if required_keys and not check_env_variables(required_keys, any_or_all=all):
+			error = f'Expected LLM API Key environment variables might be missing for {self.llm.__class__.__name__}: {" ".join(required_keys)}'
+			logger.warning(f'❌ {error}')
+
+		# send a basic sanity-test question to the LLM and verify the response
+		test_prompt = 'What is the capital of France? Respond with a single word.'
+		test_answer = 'paris'
+		try:
+			# dont convert this to async! it *should* block any subsequent llm calls from running
+			response = self.llm.invoke([HumanMessage(content=test_prompt)])
+			response_text = str(response.content).lower()
+
+			if test_answer in response_text:
+				logger.debug(
+					f'🪪 LLM API keys {", ".join(required_keys)} work, {self.llm.__class__.__name__} model is connected & responding correctly.'
+				)
+				self.llm._verified_api_keys = True
+				return True
+			else:
+				logger.warning(
+					'❌  Got bad LLM response to basic sanity check question: \n\t  %s\n\t\tEXPECTING: %s\n\t\tGOT: %s',
+					test_prompt,
+					test_answer,
+					response,
+				)
+				raise Exception('LLM responded to a simple test question incorrectly')
+		except Exception as e:
+			self.llm._verified_api_keys = False
+			if required_keys:
+				logger.error(
+					f'\n\n❌  LLM {self.llm.__class__.__name__} connection test failed. Check that {", ".join(required_keys)} is set correctly in .env and that the LLM API account has sufficient funding.\n\n{e}\n'
+				)
+				return False
+			else:
+				pass
+
+	async def _run_planner(self) -> str | None:
+		"""Run the planner to analyze state and suggest next steps"""
+		# Skip planning if no planner_llm is set
+		if not self.settings.planner_llm:
+			return None
+
+		# Get current state to filter actions by page
+		page = await self.browser_context.get_current_page()
+
+		# Get all standard actions (no filter) and page-specific actions
+		standard_actions = self.controller.registry.get_prompt_description()  # No page = system prompt actions
+		page_actions = self.controller.registry.get_prompt_description(page)  # Page-specific actions
+
+		# Combine both for the planner
+		all_actions = standard_actions
+		if page_actions:
+			all_actions += '\n' + page_actions
+
+		# Create planner message history using full message history with all available actions
+		planner_messages = [
+			PlannerPrompt(all_actions).get_system_message(
+				is_planner_reasoning=self.settings.is_planner_reasoning,
+				extended_planner_system_prompt=self.settings.extend_planner_system_message,
+			),
+			*self._message_manager.get_messages()[1:],  # Use full message history except the first
+		]
+
+		if not self.settings.use_vision_for_planner and self.settings.use_vision:
+			last_state_message: HumanMessage = planner_messages[-1]
+			# remove image from last state message
+			new_msg = ''
+			if isinstance(last_state_message.content, list):
+				for msg in last_state_message.content:
+					if msg['type'] == 'text':  # type: ignore
+						new_msg += msg['text']  # type: ignore
+					elif msg['type'] == 'image_url':  # type: ignore
+						continue  # type: ignore
+			else:
+				new_msg = last_state_message.content
+
+			planner_messages[-1] = HumanMessage(content=new_msg)
+
+		planner_messages = convert_input_messages(planner_messages, self.planner_model_name)
+
+		# Get planner output
+		try:
+			response = await self.settings.planner_llm.ainvoke(planner_messages)
+		except Exception as e:
+			logger.error(f'Failed to invoke planner: {str(e)}')
+			raise LLMException(401, 'LLM API call failed') from e
+
+		plan = str(response.content)
+		# if deepseek-reasoner, remove think tags
+		if self.planner_model_name and (
+			'deepseek-r1' in self.planner_model_name or 'deepseek-reasoner' in self.planner_model_name
+		):
+			plan = self._remove_think_tags(plan)
+		try:
+			plan_json = json.loads(plan)
+			logger.info(f'Planning Analysis:\n{json.dumps(plan_json, indent=4)}')
+		except json.JSONDecodeError:
+			logger.info(f'Planning Analysis:\n{plan}')
+		except Exception as e:
+			logger.debug(f'Error parsing planning analysis: {e}')
+			logger.info(f'Plan: {plan}')
+
+		return plan
+
+	@property
+	def message_manager(self) -> MessageManager:
+		return self._message_manager
+
+	async def close(self):
+		"""Close all resources"""
+		try:
+			# First close browser resources
+			if self.browser_context and not self.injected_browser_context:
+				await self.browser_context.close()
+			if self.browser and not self.injected_browser:
+				await self.browser.close()
+
+			# Force garbage collection
+			gc.collect()
+
+		except Exception as e:
+			logger.error(f'Error during cleanup: {e}')
+
+	async def _update_action_models_for_page(self, page) -> None:
+		"""Update action models with page-specific actions"""
+		# Create new action model with current page's filtered actions
+		self.ActionModel = self.controller.registry.create_action_model(page=page)
+		# Update output model with the new actions
+		self.AgentOutput = AgentOutput.type_with_custom_actions(self.ActionModel)
+
+		# Update done action model too
+		self.DoneActionModel = self.controller.registry.create_action_model(include_actions=['done'], page=page)
+		self.DoneAgentOutput = AgentOutput.type_with_custom_actions(self.DoneActionModel)
diff --git a/src/browser_use/agent/system_prompt.md b/src/browser_use/agent/system_prompt.md
new file mode 100644
index 00000000..4a8f3824
--- /dev/null
+++ b/src/browser_use/agent/system_prompt.md
@@ -0,0 +1,82 @@
+You are an AI agent designed to automate SQA (Software Quality Assurance) taks on browser. Your goal is to accomplish the ultimate task following the rules.
+
+# Input Format
+
+Task
+Previous steps
+Current URL
+Open Tabs
+Interactive Elements
+[index]<type>text</type>
+
+- index: Numeric identifier for interaction
+- type: HTML element type (button, input, etc.)
+- text: Element description
+  Example:
+  [33]<div>User form</div>
+  \t*[35]*<button aria-label='Submit form'>Submit</button>
+
+- Only elements with numeric indexes in [] are interactive
+- (stacked) indentation (with \t) is important and means that the element is a (html) child of the element above (with a lower index)
+- Elements with \* are new elements that were added after the previous step (if url has not changed)
+
+# Response Rules
+
+1. RESPONSE FORMAT: You must ALWAYS respond with valid JSON in this exact format:
+   {{"current_state": {{"evaluation_previous_goal": "Success|Failed|Unknown - Analyze the current elements and the image to check if the previous goals/actions are successful like intended by the task. Mention if something unexpected happened. Shortly state why/why not",
+   "memory": "Description of what has been done and what you need to remember. Be very specific. Count here ALWAYS how many times you have done something and how many remain. E.g. 0 out of 10 websites analyzed. Continue with abc and xyz",
+   "next_goal": "What needs to be done with the next immediate action"}},
+   "action":[{{"one_action_name": {{// action-specific parameter}}}}, // ... more actions in sequence]}}
+
+2. ACTIONS: You can specify multiple actions in the list to be executed in sequence. But always specify only one action name per item. Use maximum {max_actions} actions per sequence.
+Common action sequences:
+
+- Form filling: [{{"input_text": {{"index": 1, "text": "username"}}}}, {{"input_text": {{"index": 2, "text": "password"}}}}, {{"click_element": {{"index": 3}}}}]
+- Navigation and extraction: [{{"go_to_url": {{"url": "https://example.com"}}}}, {{"extract_content": {{"goal": "extract the names"}}}}]
+- Actions are executed in the given order
+- If the page changes after an action, the sequence is interrupted and you get the new state.
+- Only provide the action sequence until an action which changes the page state significantly.
+- Try to be efficient, e.g. fill forms at once, or chain actions where nothing changes on the page
+- only use multiple actions if it makes sense.
+
+3. ELEMENT INTERACTION:
+
+- Only use indexes of the interactive elements
+
+4. NAVIGATION & ERROR HANDLING:
+
+- If no suitable elements exist, use other functions to complete the task
+- If stuck, try alternative approaches - like going back to a previous page, new search, new tab etc.
+- Handle popups/cookies by accepting or closing them
+- Use scroll to find elements you are looking for
+- If you want to research something, open a new tab instead of using the current tab
+- If captcha pops up, try to solve it - else try a different approach
+- If the page is not fully loaded, use wait action
+
+5. TASK COMPLETION:
+
+- Use the done action as the last action as soon as the ultimate task is complete
+- Dont use "done" before you are done with everything the user asked you, except you reach the last step of max_steps.
+- If you reach your last step, use the done action even if the task is not fully finished. Provide all the information you have gathered so far. If the ultimate task is completely finished set success to true. If not everything the user asked for is completed set success in done to false!
+- If you have to do something repeatedly for example the task says for "each", or "for all", or "x times", count always inside "memory" how many times you have done it and how many remain. Don't stop until you have completed like the task asked you. Only call done after the last step.
+- Don't hallucinate actions
+- Make sure you include everything you found out for the ultimate task in the done text parameter. Do not just say you are done, but include the requested information of the task.
+
+6. VISUAL CONTEXT:
+
+- When an image is provided, use it to understand the page layout
+- Bounding boxes with labels on their top right corner correspond to element indexes
+
+7. Form filling:
+
+- If you fill an input field and your action sequence is interrupted, most often something changed e.g. suggestions popped up under the field.
+
+8. Long tasks:
+
+- Keep track of the status and subresults in the memory.
+- You are provided with procedural memory summaries that condense previous task history (every N steps). Use these summaries to maintain context about completed actions, current progress, and next steps. The summaries appear in chronological order and contain key information about navigation history, findings, errors encountered, and current state. Refer to these summaries to avoid repeating actions and to ensure consistent progress toward the task goal.
+
+9. Extraction:
+
+- If your task is to find information - call extract_content on the specific pages to get and store the information.
+  Your responses must be always JSON with the specified format.
diff --git a/src/browser_use/agent/views.py b/src/browser_use/agent/views.py
new file mode 100644
index 00000000..c868f909
--- /dev/null
+++ b/src/browser_use/agent/views.py
@@ -0,0 +1,440 @@
+from __future__ import annotations
+
+import json
+import traceback
+import uuid
+from dataclasses import dataclass
+from pathlib import Path
+from typing import Any, Literal
+
+from langchain_core.language_models.chat_models import BaseChatModel
+from openai import RateLimitError
+from pydantic import BaseModel, ConfigDict, Field, ValidationError, create_model
+
+from browser_use.agent.message_manager.views import MessageManagerState
+from browser_use.agent.playwright_script_generator import PlaywrightScriptGenerator
+from browser_use.browser.browser import BrowserConfig
+from browser_use.browser.context import BrowserContextConfig
+from browser_use.browser.views import BrowserStateHistory
+from browser_use.controller.registry.views import ActionModel
+from browser_use.dom.history_tree_processor.service import (
+	DOMElementNode,
+	DOMHistoryElement,
+	HistoryTreeProcessor,
+)
+from browser_use.dom.views import SelectorMap
+
+ToolCallingMethod = Literal['function_calling', 'json_mode', 'raw', 'auto', 'tools']
+REQUIRED_LLM_API_ENV_VARS = {
+	'ChatOpenAI': ['OPENAI_API_KEY'],
+	'AzureChatOpenAI': ['AZURE_OPENAI_ENDPOINT', 'AZURE_OPENAI_KEY'],
+	'ChatBedrockConverse': ['ANTHROPIC_API_KEY'],
+	'ChatAnthropic': ['ANTHROPIC_API_KEY'],
+	'ChatGoogleGenerativeAI': ['GOOGLE_API_KEY'],
+	'ChatDeepSeek': ['DEEPSEEK_API_KEY'],
+	'ChatOllama': [],
+	'ChatGrok': ['GROK_API_KEY'],
+}
+
+
+class AgentSettings(BaseModel):
+	"""Options for the agent"""
+
+	use_vision: bool = True
+	use_vision_for_planner: bool = False
+	save_conversation_path: str | None = None
+	save_conversation_path_encoding: str | None = 'utf-8'
+	max_failures: int = 3
+	retry_delay: int = 10
+	max_input_tokens: int = 128000
+	validate_output: bool = False
+	message_context: str | None = None
+	generate_gif: bool | str = False
+	available_file_paths: list[str] | None = None
+	override_system_message: str | None = None
+	extend_system_message: str | None = None
+	include_attributes: list[str] = [
+		'title',
+		'type',
+		'name',
+		'role',
+		'tabindex',
+		'aria-label',
+		'placeholder',
+		'value',
+		'alt',
+		'aria-expanded',
+	]
+	max_actions_per_step: int = 10
+
+	tool_calling_method: ToolCallingMethod | None = 'auto'
+	page_extraction_llm: BaseChatModel | None = None
+	planner_llm: BaseChatModel | None = None
+	planner_interval: int = 1  # Run planner every N steps
+	is_planner_reasoning: bool = False  # type: ignore
+	extend_planner_system_message: str | None = None
+
+	# Playwright script generation setting
+	save_playwright_script_path: str | None = None  # Path to save the generated Playwright script
+
+
+class AgentState(BaseModel):
+	"""Holds all state information for an Agent"""
+
+	agent_id: str = Field(default_factory=lambda: str(uuid.uuid4()))
+	n_steps: int = 1
+	consecutive_failures: int = 0
+	last_result: list[ActionResult] | None = None
+	history: AgentHistoryList = Field(default_factory=lambda: AgentHistoryList(history=[]))
+	last_plan: str | None = None
+	paused: bool = False
+	stopped: bool = False
+
+	message_manager_state: MessageManagerState = Field(default_factory=MessageManagerState)
+
+	# class Config:
+	# 	arbitrary_types_allowed = True
+
+
+@dataclass
+class AgentStepInfo:
+	step_number: int
+	max_steps: int
+
+	def is_last_step(self) -> bool:
+		"""Check if this is the last step"""
+		return self.step_number >= self.max_steps - 1
+
+
+class ActionResult(BaseModel):
+	"""Result of executing an action"""
+
+	is_done: bool | None = False
+	success: bool | None = None
+	extracted_content: str | None = None
+	error: str | None = None
+	include_in_memory: bool = False  # whether to include in past messages as context or not
+
+
+class StepMetadata(BaseModel):
+	"""Metadata for a single step including timing and token information"""
+
+	step_start_time: float
+	step_end_time: float
+	input_tokens: int  # Approximate tokens from message manager for this step
+	step_number: int
+
+	@property
+	def duration_seconds(self) -> float:
+		"""Calculate step duration in seconds"""
+		return self.step_end_time - self.step_start_time
+
+
+class AgentBrain(BaseModel):
+	"""Current state of the agent"""
+
+	evaluation_previous_goal: str
+	memory: str
+	next_goal: str
+
+
+class AgentOutput(BaseModel):
+	"""Output model for agent
+
+	@dev note: this model is extended with custom actions in AgentService. You can also use some fields that are not in this model as provided by the linter, as long as they are registered in the DynamicActions model.
+	"""
+
+	model_config = ConfigDict(arbitrary_types_allowed=True)
+
+	current_state: AgentBrain
+	action: list[ActionModel] = Field(
+		...,
+		description='List of actions to execute',
+		json_schema_extra={'min_items': 1},  # Ensure at least one action is provided
+	)
+
+	@staticmethod
+	def type_with_custom_actions(custom_actions: type[ActionModel]) -> type[AgentOutput]:
+		"""Extend actions with custom actions"""
+		model_ = create_model(
+			'AgentOutput',
+			__base__=AgentOutput,
+			action=(
+				list[custom_actions],
+				Field(..., description='List of actions to execute', json_schema_extra={'min_items': 1}),
+			),
+			__module__=AgentOutput.__module__,
+		)
+		model_.__doc__ = 'AgentOutput model with custom actions'
+		return model_
+
+
+class AgentHistory(BaseModel):
+	"""History item for agent actions"""
+
+	model_output: AgentOutput | None
+	result: list[ActionResult]
+	state: BrowserStateHistory
+	metadata: StepMetadata | None = None
+
+	model_config = ConfigDict(arbitrary_types_allowed=True, protected_namespaces=())
+
+	@staticmethod
+	def get_interacted_element(model_output: AgentOutput, selector_map: SelectorMap) -> list[DOMHistoryElement | None]:
+		elements = []
+		for action in model_output.action:
+			index = action.get_index()
+			if index is not None and index in selector_map:
+				el: DOMElementNode = selector_map[index]
+				elements.append(HistoryTreeProcessor.convert_dom_element_to_history_element(el))
+			else:
+				elements.append(None)
+		return elements
+
+	def model_dump(self, **kwargs) -> dict[str, Any]:
+		"""Custom serialization handling circular references"""
+
+		# Handle action serialization
+		model_output_dump = None
+		if self.model_output:
+			action_dump = [action.model_dump(exclude_none=True) for action in self.model_output.action]
+			model_output_dump = {
+				'current_state': self.model_output.current_state.model_dump(),
+				'action': action_dump,  # This preserves the actual action data
+			}
+
+		return {
+			'model_output': model_output_dump,
+			'result': [r.model_dump(exclude_none=True) for r in self.result],
+			'state': self.state.to_dict(),
+			'metadata': self.metadata.model_dump() if self.metadata else None,
+		}
+
+
+class AgentHistoryList(BaseModel):
+	"""List of agent history items"""
+
+	history: list[AgentHistory]
+
+	def total_duration_seconds(self) -> float:
+		"""Get total duration of all steps in seconds"""
+		total = 0.0
+		for h in self.history:
+			if h.metadata:
+				total += h.metadata.duration_seconds
+		return total
+
+	def total_input_tokens(self) -> int:
+		"""
+		Get total tokens used across all steps.
+		Note: These are from the approximate token counting of the message manager.
+		For accurate token counting, use tools like LangChain Smith or OpenAI's token counters.
+		"""
+		total = 0
+		for h in self.history:
+			if h.metadata:
+				total += h.metadata.input_tokens
+		return total
+
+	def input_token_usage(self) -> list[int]:
+		"""Get token usage for each step"""
+		return [h.metadata.input_tokens for h in self.history if h.metadata]
+
+	def __str__(self) -> str:
+		"""Representation of the AgentHistoryList object"""
+		return f'AgentHistoryList(all_results={self.action_results()}, all_model_outputs={self.model_actions()})'
+
+	def __repr__(self) -> str:
+		"""Representation of the AgentHistoryList object"""
+		return self.__str__()
+
+	def save_to_file(self, filepath: str | Path) -> None:
+		"""Save history to JSON file with proper serialization"""
+		try:
+			Path(filepath).parent.mkdir(parents=True, exist_ok=True)
+			data = self.model_dump()
+			with open(filepath, 'w', encoding='utf-8') as f:
+				json.dump(data, f, indent=2)
+		except Exception as e:
+			raise e
+
+	def save_as_playwright_script(
+		self,
+		output_path: str | Path,
+		sensitive_data_keys: list[str] | None = None,
+		browser_config: BrowserConfig | None = None,
+		context_config: BrowserContextConfig | None = None,
+	) -> None:
+		"""
+		Generates a Playwright script based on the agent's history and saves it to a file.
+		Args:
+			output_path: The path where the generated Python script will be saved.
+			sensitive_data_keys: A list of keys used as placeholders for sensitive data
+								 (e.g., ['username_placeholder', 'password_placeholder']).
+								 These will be loaded from environment variables in the
+								 generated script.
+			browser_config: Configuration of the original Browser instance.
+			context_config: Configuration of the original BrowserContext instance.
+		"""
+		try:
+			serialized_history = self.model_dump()['history']
+			generator = PlaywrightScriptGenerator(serialized_history, sensitive_data_keys, browser_config, context_config)
+			script_content = generator.generate_script_content()
+			path_obj = Path(output_path)
+			path_obj.parent.mkdir(parents=True, exist_ok=True)
+			with open(path_obj, 'w', encoding='utf-8') as f:
+				f.write(script_content)
+		except Exception as e:
+			raise e
+
+	def model_dump(self, **kwargs) -> dict[str, Any]:
+		"""Custom serialization that properly uses AgentHistory's model_dump"""
+		return {
+			'history': [h.model_dump(**kwargs) for h in self.history],
+		}
+
+	@classmethod
+	def load_from_file(cls, filepath: str | Path, output_model: type[AgentOutput]) -> AgentHistoryList:
+		"""Load history from JSON file"""
+		with open(filepath, encoding='utf-8') as f:
+			data = json.load(f)
+		# loop through history and validate output_model actions to enrich with custom actions
+		for h in data['history']:
+			if h['model_output']:
+				if isinstance(h['model_output'], dict):
+					h['model_output'] = output_model.model_validate(h['model_output'])
+				else:
+					h['model_output'] = None
+			if 'interacted_element' not in h['state']:
+				h['state']['interacted_element'] = None
+		history = cls.model_validate(data)
+		return history
+
+	def last_action(self) -> None | dict:
+		"""Last action in history"""
+		if self.history and self.history[-1].model_output:
+			return self.history[-1].model_output.action[-1].model_dump(exclude_none=True)
+		return None
+
+	def errors(self) -> list[str | None]:
+		"""Get all errors from history, with None for steps without errors"""
+		errors = []
+		for h in self.history:
+			step_errors = [r.error for r in h.result if r.error]
+
+			# each step can have only one error
+			errors.append(step_errors[0] if step_errors else None)
+		return errors
+
+	def final_result(self) -> None | str:
+		"""Final result from history"""
+		if self.history and self.history[-1].result[-1].extracted_content:
+			return self.history[-1].result[-1].extracted_content
+		return None
+
+	def is_done(self) -> bool:
+		"""Check if the agent is done"""
+		if self.history and len(self.history[-1].result) > 0:
+			last_result = self.history[-1].result[-1]
+			return last_result.is_done is True
+		return False
+
+	def is_successful(self) -> bool | None:
+		"""Check if the agent completed successfully - the agent decides in the last step if it was successful or not. None if not done yet."""
+		if self.history and len(self.history[-1].result) > 0:
+			last_result = self.history[-1].result[-1]
+			if last_result.is_done is True:
+				return last_result.success
+		return None
+
+	def has_errors(self) -> bool:
+		"""Check if the agent has any non-None errors"""
+		return any(error is not None for error in self.errors())
+
+	def urls(self) -> list[str | None]:
+		"""Get all unique URLs from history"""
+		return [h.state.url if h.state.url is not None else None for h in self.history]
+
+	def screenshots(self) -> list[str | None]:
+		"""Get all screenshots from history"""
+		return [h.state.screenshot if h.state.screenshot is not None else None for h in self.history]
+
+	def action_names(self) -> list[str]:
+		"""Get all action names from history"""
+		action_names = []
+		for action in self.model_actions():
+			actions = list(action.keys())
+			if actions:
+				action_names.append(actions[0])
+		return action_names
+
+	def model_thoughts(self) -> list[AgentBrain]:
+		"""Get all thoughts from history"""
+		return [h.model_output.current_state for h in self.history if h.model_output]
+
+	def model_outputs(self) -> list[AgentOutput]:
+		"""Get all model outputs from history"""
+		return [h.model_output for h in self.history if h.model_output]
+
+	# get all actions with params
+	def model_actions(self) -> list[dict]:
+		"""Get all actions from history"""
+		outputs = []
+
+		for h in self.history:
+			if h.model_output:
+				for action, interacted_element in zip(h.model_output.action, h.state.interacted_element):
+					output = action.model_dump(exclude_none=True)
+					output['interacted_element'] = interacted_element
+					outputs.append(output)
+		return outputs
+
+	def action_results(self) -> list[ActionResult]:
+		"""Get all results from history"""
+		results = []
+		for h in self.history:
+			results.extend([r for r in h.result if r])
+		return results
+
+	def extracted_content(self) -> list[str]:
+		"""Get all extracted content from history"""
+		content = []
+		for h in self.history:
+			content.extend([r.extracted_content for r in h.result if r.extracted_content])
+		return content
+
+	def model_actions_filtered(self, include: list[str] | None = None) -> list[dict]:
+		"""Get all model actions from history as JSON"""
+		if include is None:
+			include = []
+		outputs = self.model_actions()
+		result = []
+		for o in outputs:
+			for i in include:
+				if i == list(o.keys())[0]:
+					result.append(o)
+		return result
+
+	def number_of_steps(self) -> int:
+		"""Get the number of steps in the history"""
+		return len(self.history)
+
+
+class AgentError:
+	"""Container for agent error handling"""
+
+	VALIDATION_ERROR = 'Invalid model output format. Please follow the correct schema.'
+	RATE_LIMIT_ERROR = 'Rate limit reached. Waiting before retry.'
+	NO_VALID_ACTION = 'No valid action found'
+
+	@staticmethod
+	def format_error(error: Exception, include_trace: bool = False) -> str:
+		"""Format error message based on error type and optionally include trace"""
+		message = ''
+		if isinstance(error, ValidationError):
+			return f'{AgentError.VALIDATION_ERROR}\nDetails: {str(error)}'
+		if isinstance(error, RateLimitError):
+			return AgentError.RATE_LIMIT_ERROR
+		if include_trace:
+			return f'{str(error)}\nStacktrace:\n{traceback.format_exc()}'
+		return f'{str(error)}'
diff --git a/src/browser_use/browser/browser.py b/src/browser_use/browser/browser.py
new file mode 100644
index 00000000..f7b411b0
--- /dev/null
+++ b/src/browser_use/browser/browser.py
@@ -0,0 +1,427 @@
+"""
+Playwright browser on steroids.
+"""
+
+import asyncio
+import gc
+import logging
+import os
+import socket
+import subprocess
+from pathlib import Path
+from tempfile import gettempdir
+from typing import Literal
+
+import httpx
+import psutil
+from dotenv import load_dotenv
+from playwright.async_api import Browser as PlaywrightBrowser
+from playwright.async_api import Playwright, async_playwright
+from pydantic import AliasChoices, BaseModel, ConfigDict, Field
+
+load_dotenv()
+
+
+from browser_use.browser.chrome import (
+	CHROME_ARGS,
+	CHROME_DEBUG_PORT,
+	CHROME_DETERMINISTIC_RENDERING_ARGS,
+	CHROME_DISABLE_SECURITY_ARGS,
+	CHROME_DOCKER_ARGS,
+	CHROME_HEADLESS_ARGS,
+)
+from browser_use.browser.context import BrowserContext, BrowserContextConfig
+from browser_use.browser.utils.screen_resolution import get_screen_resolution, get_window_adjustments
+from browser_use.utils import time_execution_async
+
+logger = logging.getLogger(__name__)
+
+IN_DOCKER = os.environ.get('IN_DOCKER', 'false').lower()[0] in 'ty1'
+
+
+class ProxySettings(BaseModel):
+	"""the same as playwright.sync_api.ProxySettings, but now as a Pydantic BaseModel so pydantic can validate it"""
+
+	server: str
+	bypass: str | None = None
+	username: str | None = None
+	password: str | None = None
+
+	model_config = ConfigDict(populate_by_name=True, from_attributes=True)
+
+	# Support dict-like behavior for compatibility with Playwright's ProxySettings
+	def __getitem__(self, key):
+		return getattr(self, key)
+
+	def get(self, key, default=None):
+		return getattr(self, key, default)
+
+
+class BrowserConfig(BaseModel):
+	r"""
+	Configuration for the Browser.
+
+	Default values:
+		headless: False
+			Whether to run browser in headless mode (not recommended)
+
+		disable_security: False
+			Disable browser security features (required for cross-origin iframe support)
+
+		extra_browser_args: []
+			Extra arguments to pass to the browser
+
+		wss_url: None
+			Connect to a browser instance via WebSocket
+
+		cdp_url: None
+			Connect to a browser instance via CDP
+
+		browser_binary_path: None
+			Path to a Browser instance to use to connect to your normal browser
+			e.g. '/Applications/Google\ Chrome.app/Contents/MacOS/Google\ Chrome'
+
+		chrome_remote_debugging_port: 9222
+			Chrome remote debugging port to use to when browser_binary_path is supplied.
+			This allows running multiple chrome browsers with same browser_binary_path but running on different ports.
+			Also, makes it possible to launch new user provided chrome browser without closing already opened chrome instances,
+			by providing non-default chrome debugging port.
+
+		keep_alive: False
+			Keep the browser alive after the agent has finished running
+
+		deterministic_rendering: False
+			Enable deterministic rendering (makes GPU/font rendering consistent across different OS's and docker)
+	"""
+
+	model_config = ConfigDict(
+		arbitrary_types_allowed=True,
+		extra='ignore',
+		populate_by_name=True,
+		from_attributes=True,
+		validate_assignment=True,
+		revalidate_instances='subclass-instances',
+	)
+
+	wss_url: str | None = None
+	cdp_url: str | None = None
+
+	browser_class: Literal['chromium', 'firefox', 'webkit'] = 'chromium'
+	browser_binary_path: str | None = Field(
+		default=None, validation_alias=AliasChoices('browser_instance_path', 'chrome_instance_path')
+	)
+	chrome_remote_debugging_port: int | None = CHROME_DEBUG_PORT
+	extra_browser_args: list[str] = Field(default_factory=list)
+
+	headless: bool = False
+	disable_security: bool = False  # disable_security=True is dangerous as any malicious URL visited could embed an iframe for the user's bank, and use their cookies to steal money
+	deterministic_rendering: bool = False
+	keep_alive: bool = Field(default=False, alias='_force_keep_browser_alive')  # used to be called _force_keep_browser_alive
+
+	proxy: ProxySettings | None = None
+	new_context_config: BrowserContextConfig = Field(default_factory=BrowserContextConfig)
+
+
+# @singleton: TODO - think about id singleton makes sense here
+# @dev By default this is a singleton, but you can create multiple instances if you need to.
+class Browser:
+	"""
+	Playwright browser on steroids.
+
+	This is persistent browser factory that can spawn multiple browser contexts.
+	It is recommended to use only one instance of Browser per your application (RAM usage will grow otherwise).
+	"""
+
+	def __init__(
+		self,
+		config: BrowserConfig | None = None,
+	):
+		logger.debug('🌎  Initializing new browser')
+		self.config = config or BrowserConfig()
+		self.playwright: Playwright | None = None
+		self.playwright_browser: PlaywrightBrowser | None = None
+
+	async def new_context(self, config: BrowserContextConfig | None = None) -> BrowserContext:
+		"""Create a browser context"""
+		browser_config = self.config.model_dump() if self.config else {}
+		context_config = config.model_dump() if config else {}
+		merged_config = {**browser_config, **context_config}
+		return BrowserContext(config=BrowserContextConfig(**merged_config), browser=self)
+
+	async def get_playwright_browser(self) -> PlaywrightBrowser:
+		"""Get a browser context"""
+		if self.playwright_browser is None:
+			return await self._init()
+
+		return self.playwright_browser
+
+	@time_execution_async('--init (browser)')
+	async def _init(self):
+		"""Initialize the browser session"""
+		playwright = await async_playwright().start()
+		self.playwright = playwright
+
+		browser = await self._setup_browser(playwright)
+		self.playwright_browser = browser
+
+		return self.playwright_browser
+
+	async def _setup_remote_cdp_browser(self, playwright: Playwright) -> PlaywrightBrowser:
+		"""Sets up and returns a Playwright Browser instance with anti-detection measures. Firefox has no longer CDP support."""
+		if 'firefox' in (self.config.browser_binary_path or '').lower():
+			raise ValueError(
+				'CDP has been deprecated for firefox, check: https://fxdx.dev/deprecating-cdp-support-in-firefox-embracing-the-future-with-webdriver-bidi/'
+			)
+		if not self.config.cdp_url:
+			raise ValueError('CDP URL is required')
+		logger.info(f'🔌  Connecting to remote browser via CDP {self.config.cdp_url}')
+		browser_class = getattr(playwright, self.config.browser_class)
+		browser = await browser_class.connect_over_cdp(self.config.cdp_url)
+		return browser
+
+	async def _setup_remote_wss_browser(self, playwright: Playwright) -> PlaywrightBrowser:
+		"""Sets up and returns a Playwright Browser instance with anti-detection measures."""
+		if not self.config.wss_url:
+			raise ValueError('WSS URL is required')
+		logger.info(f'🔌  Connecting to remote browser via WSS {self.config.wss_url}')
+		browser_class = getattr(playwright, self.config.browser_class)
+		browser = await browser_class.connect(self.config.wss_url)
+		return browser
+
+	async def _setup_user_provided_browser(self, playwright: Playwright) -> PlaywrightBrowser:
+		"""Sets up and returns a Playwright Browser instance with anti-detection measures."""
+		if not self.config.browser_binary_path:
+			raise ValueError('A browser_binary_path is required')
+
+		assert self.config.browser_class == 'chromium', (
+			'browser_binary_path only supports chromium browsers (make sure browser_class=chromium)'
+		)
+
+		try:
+			# Check if browser is already running
+			async with httpx.AsyncClient() as client:
+				response = await client.get(
+					f'http://localhost:{self.config.chrome_remote_debugging_port}/json/version', timeout=2
+				)
+				if response.status_code == 200:
+					logger.info(
+						f'🔌  Reusing existing browser found running on http://localhost:{self.config.chrome_remote_debugging_port}'
+					)
+					browser_class = getattr(playwright, self.config.browser_class)
+					browser = await browser_class.connect_over_cdp(
+						endpoint_url=f'http://localhost:{self.config.chrome_remote_debugging_port}',
+						timeout=20000,  # 20 second timeout for connection
+					)
+					return browser
+		except httpx.RequestError:
+			logger.debug('🌎  No existing Chrome instance found, starting a new one')
+
+		provided_user_data_dir = [arg for arg in self.config.extra_browser_args if '--user-data-dir=' in arg]
+
+		if provided_user_data_dir:
+			user_data_dir = Path(provided_user_data_dir[0].split('=')[-1])
+		else:
+			fallback_user_data_dir = Path(gettempdir()) / 'browseruse' / 'profiles' / 'default'  # /tmp/browseruse
+			try:
+				# ~/.config/browseruse/profiles/default
+				user_data_dir = Path('~/.config') / 'browseruse' / 'profiles' / 'default'
+				user_data_dir = user_data_dir.expanduser()
+				user_data_dir.mkdir(parents=True, exist_ok=True)
+			except Exception as e:
+				logger.error(f'❌  Failed to create ~/.config/browseruse directory: {type(e).__name__}: {e}')
+				user_data_dir = fallback_user_data_dir
+				user_data_dir.mkdir(parents=True, exist_ok=True)
+
+		logger.info(f'🌐  Storing Browser Profile user data dir in: {user_data_dir}')
+		try:
+			# Remove any existing SingletonLock file to allow the browser to start
+			(user_data_dir / 'Default' / 'SingletonLock').unlink()
+			self.config.extra_browser_args.append('--no-first-run')
+		except (FileNotFoundError, PermissionError, OSError):
+			pass
+
+		# Start a new Chrome instance
+		chrome_launch_args = [
+			*{  # remove duplicates (usually preserves the order, but not guaranteed)
+				f'--remote-debugging-port={self.config.chrome_remote_debugging_port}',
+				*([f'--user-data-dir={user_data_dir.resolve()}'] if not provided_user_data_dir else []),
+				*CHROME_ARGS,
+				*(CHROME_DOCKER_ARGS if IN_DOCKER else []),
+				*(CHROME_HEADLESS_ARGS if self.config.headless else []),
+				*(CHROME_DISABLE_SECURITY_ARGS if self.config.disable_security else []),
+				*(CHROME_DETERMINISTIC_RENDERING_ARGS if self.config.deterministic_rendering else []),
+				*self.config.extra_browser_args,
+			},
+		]
+		chrome_sub_process = await asyncio.create_subprocess_exec(
+			self.config.browser_binary_path,
+			*chrome_launch_args,
+			stdout=subprocess.DEVNULL,
+			stderr=subprocess.DEVNULL,
+			shell=False,
+		)
+		self._chrome_subprocess = psutil.Process(chrome_sub_process.pid)
+
+		# Attempt to connect again after starting a new instance
+		for _ in range(10):
+			try:
+				async with httpx.AsyncClient() as client:
+					response = await client.get(
+						f'http://localhost:{self.config.chrome_remote_debugging_port}/json/version', timeout=2
+					)
+					if response.status_code == 200:
+						break
+			except httpx.RequestError:
+				pass
+			await asyncio.sleep(1)
+
+		# Attempt to connect again after starting a new instance
+		try:
+			browser_class = getattr(playwright, self.config.browser_class)
+			browser = await browser_class.connect_over_cdp(
+				endpoint_url=f'http://localhost:{self.config.chrome_remote_debugging_port}',
+				timeout=20000,  # 20 second timeout for connection
+			)
+			return browser
+		except Exception as e:
+			logger.error(f'❌  Failed to start a new Chrome instance: {str(e)}')
+			raise RuntimeError(
+				'To start chrome in Debug mode, you need to close all existing Chrome instances and try again otherwise we can not connect to the instance.'
+			)
+
+	async def _setup_builtin_browser(self, playwright: Playwright) -> PlaywrightBrowser:
+		"""Sets up and returns a Playwright Browser instance with anti-detection measures."""
+		assert self.config.browser_binary_path is None, 'browser_binary_path should be None if trying to use the builtin browsers'
+
+		# Use the configured window size from new_context_config if available
+		if (
+			not self.config.headless
+			and hasattr(self.config, 'new_context_config')
+			and hasattr(self.config.new_context_config, 'window_width')
+			and hasattr(self.config.new_context_config, 'window_height')
+			and not self.config.new_context_config.no_viewport
+		):
+			screen_size = {
+				'width': self.config.new_context_config.window_width,
+				'height': self.config.new_context_config.window_height,
+			}
+			offset_x, offset_y = get_window_adjustments()
+		elif self.config.headless:
+			screen_size = {'width': 1920, 'height': 1080}
+			offset_x, offset_y = 0, 0
+		else:
+			screen_size = get_screen_resolution()
+			offset_x, offset_y = get_window_adjustments()
+
+		chrome_args = {
+			f'--remote-debugging-port={self.config.chrome_remote_debugging_port}',
+			*CHROME_ARGS,
+			*(CHROME_DOCKER_ARGS if IN_DOCKER else []),
+			*(CHROME_HEADLESS_ARGS if self.config.headless else []),
+			*(CHROME_DISABLE_SECURITY_ARGS if self.config.disable_security else []),
+			*(CHROME_DETERMINISTIC_RENDERING_ARGS if self.config.deterministic_rendering else []),
+			f'--window-position={offset_x},{offset_y}',
+			f'--window-size={screen_size["width"]},{screen_size["height"]}',
+			*self.config.extra_browser_args,
+		}
+
+		# check if chrome remote debugging port is already taken,
+		# if so remove the remote-debugging-port arg to prevent conflicts
+		with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s:
+			if s.connect_ex(('localhost', self.config.chrome_remote_debugging_port)) == 0:
+				chrome_args.remove(f'--remote-debugging-port={self.config.chrome_remote_debugging_port}')
+
+		browser_class = getattr(playwright, self.config.browser_class)
+		args = {
+			'chromium': list(chrome_args),
+			'firefox': [
+				*{
+					'-no-remote',
+					*self.config.extra_browser_args,
+				}
+			],
+			'webkit': [
+				*{
+					'--no-startup-window',
+					*self.config.extra_browser_args,
+				}
+			],
+		}
+
+		browser = await browser_class.launch(
+			channel='chromium',  # https://github.com/microsoft/playwright/issues/33566
+			headless=self.config.headless,
+			args=args[self.config.browser_class],
+			proxy=self.config.proxy.model_dump() if self.config.proxy else None,
+			handle_sigterm=False,
+			handle_sigint=False,
+		)
+		return browser
+
+	async def _setup_browser(self, playwright: Playwright) -> PlaywrightBrowser:
+		"""Sets up and returns a Playwright Browser instance with anti-detection measures."""
+		try:
+			if self.config.cdp_url:
+				return await self._setup_remote_cdp_browser(playwright)
+			if self.config.wss_url:
+				return await self._setup_remote_wss_browser(playwright)
+
+			if self.config.headless:
+				logger.warning('⚠️ Headless mode is not recommended. Many sites will detect and block all headless browsers.')
+
+			if self.config.browser_binary_path:
+				return await self._setup_user_provided_browser(playwright)
+			else:
+				return await self._setup_builtin_browser(playwright)
+		except Exception as e:
+			logger.error(f'Failed to initialize Playwright browser: {e}')
+			raise
+
+	async def close(self):
+		"""Close the browser instance"""
+		if self.config.keep_alive:
+			return
+
+		try:
+			if self.playwright_browser:
+				await self.playwright_browser.close()
+				del self.playwright_browser
+			if self.playwright:
+				await self.playwright.stop()
+				del self.playwright
+			if chrome_proc := getattr(self, '_chrome_subprocess', None):
+				try:
+					# always kill all children processes, otherwise chrome leaves a bunch of zombie processes
+					for proc in chrome_proc.children(recursive=True):
+						proc.kill()
+					chrome_proc.kill()
+				except Exception as e:
+					logger.debug(f'Failed to terminate chrome subprocess: {e}')
+
+			# Then cleanup httpx clients
+			await self.cleanup_httpx_clients()
+		except Exception as e:
+			if 'OpenAI error' not in str(e):
+				logger.debug(f'Failed to close browser properly: {e}')
+
+		finally:
+			self.playwright_browser = None
+			self.playwright = None
+			self._chrome_subprocess = None
+			gc.collect()
+
+	def __del__(self):
+		"""Async cleanup when object is destroyed"""
+		try:
+			if self.playwright_browser or self.playwright:
+				loop = asyncio.get_running_loop()
+				if loop.is_running():
+					loop.create_task(self.close())
+				else:
+					asyncio.run(self.close())
+		except Exception as e:
+			logger.debug(f'Failed to cleanup browser in destructor: {e}')
+
+	async def cleanup_httpx_clients(self):
+		"""No-op method - browser instances shouldn't close httpx clients they didn't create."""
+		pass
diff --git a/src/browser_use/browser/chrome.py b/src/browser_use/browser/chrome.py
new file mode 100644
index 00000000..e3e7d3a4
--- /dev/null
+++ b/src/browser_use/browser/chrome.py
@@ -0,0 +1,177 @@
+CHROME_EXTENSIONS = {}  # coming in a separate PR
+CHROME_EXTENSIONS_PATH = 'chrome_extensions'
+CHROME_PROFILE_PATH = 'chrome_profile'
+CHROME_PROFILE_USER = 'Default'
+CHROME_DEBUG_PORT = 9242
+CHROME_DISABLED_COMPONENTS = [
+	'Translate',
+	'AcceptCHFrame',
+	'OptimizationHints',
+	'ProcessPerSiteUpToMainFrameThreshold',
+	'InterestFeedContentSuggestions',
+	# 'CalculateNativeWinOcclusion',
+	'BackForwardCache',
+	# 'HeavyAdPrivacyMitigations',
+	'LazyFrameLoading',
+	# 'ImprovedCookieControls',
+	'PrivacySandboxSettings4',
+	'AutofillServerCommunication',
+	'CertificateTransparencyComponentUpdater',
+	'DestroyProfileOnBrowserClose',
+	'CrashReporting',
+	'OverscrollHistoryNavigation',
+	'InfiniteSessionRestore',
+	#'LockProfileCookieDatabase',  # disabling allows multiple chrome instances to concurrently modify profile, but might make chrome much slower https://github.com/yt-dlp/yt-dlp/issues/7271  https://issues.chromium.org/issues/40901624
+]  # it's always best to give each chrome instance its own exclusive copy of the user profile
+
+
+CHROME_HEADLESS_ARGS = [
+	'--headless=new',
+	# '--test-type',
+	# '--test-type=gpu',  # https://github.com/puppeteer/puppeteer/issues/10516
+	# '--enable-automation',                            # <- DONT USE THIS, it makes you easily detectable / blocked by cloudflare
+]
+
+CHROME_DOCKER_ARGS = [
+	# Docker-specific options
+	# https://github.com/GoogleChrome/lighthouse-ci/tree/main/docs/recipes/docker-client#--no-sandbox-issues-explained
+	'--no-sandbox',  # rely on docker sandboxing in docker, otherwise we need cap_add: SYS_ADM to use host sandboxing
+	'--disable-gpu-sandbox',
+	'--disable-setuid-sandbox',
+	'--disable-dev-shm-usage',  # docker 75mb default shm size is not big enough, disabling just uses /tmp instead
+	'--no-xshm',
+	# dont try to disable (or install) dbus in docker, its not needed, chrome can work without dbus despite the errors
+]
+
+CHROME_DISABLE_SECURITY_ARGS = [
+	# DANGER: JS isolation security features (to allow easier tampering with pages during automation)
+	# chrome://net-internals
+	'--disable-web-security',  # <- WARNING, breaks some sites that expect/enforce strict CORS headers (try webflow.com)
+	'--disable-site-isolation-trials',
+	'--disable-features=IsolateOrigins,site-per-process',
+	# '--allow-file-access-from-files',                     # <- WARNING, dangerous, allows JS to read filesystem using file:// URLs
+	# DANGER: Disable HTTPS verification
+	'--allow-running-insecure-content',  # Breaks CORS/CSRF/HSTS etc., useful sometimes but very easy to detect
+	'--ignore-certificate-errors',
+	'--ignore-ssl-errors',
+	'--ignore-certificate-errors-spki-list',
+	# '--allow-insecure-localhost',
+]
+
+# flags to make chrome behave more deterministically across different OS's
+CHROME_DETERMINISTIC_RENDERING_ARGS = [
+	'--deterministic-mode',
+	'--js-flags=--random-seed=1157259159',  # make all JS random numbers deterministic by providing a seed
+	'--force-device-scale-factor=1',
+	# GPU, canvas, text, and pdf rendering config
+	# chrome://gpu
+	'--enable-webgl',  # enable web-gl graphics support
+	'--font-render-hinting=none',  # make rendering more deterministic by ignoring OS font hints, may also need css override, try:    * {text-rendering: geometricprecision !important; -webkit-font-smoothing: antialiased;}
+	'--force-color-profile=srgb',  # make rendering more deterministic by using consistent color profile, if browser looks weird, try: generic-rgb
+	# '--disable-partial-raster',  # make rendering more deterministic (TODO: verify if still needed)
+	'--disable-skia-runtime-opts',  # make rendering more deterministic by avoiding Skia hot path runtime optimizations
+	'--disable-2d-canvas-clip-aa',  # make rendering more deterministic by disabling antialiasing on 2d canvas clips
+	# '--disable-gpu',                                  # falls back to more consistent software renderer across all OS's, especially helps linux text rendering look less weird
+	# // '--use-gl=swiftshader',                        <- DO NOT USE, breaks M1 ARM64. it makes rendering more deterministic by using simpler CPU renderer instead of OS GPU renderer  bug: https://groups.google.com/a/chromium.org/g/chromium-dev/c/8eR2GctzGuw
+	# // '--disable-software-rasterizer',               <- DO NOT USE, harmless, used in tandem with --disable-gpu
+	# // '--run-all-compositor-stages-before-draw',     <- DO NOT USE, makes headful chrome hang on startup (tested v121 Google Chrome.app on macOS)
+	# // '--disable-gl-drawing-for-tests',              <- DO NOT USE, disables gl output (makes tests run faster if you dont care about canvas)
+	# // '--blink-settings=imagesEnabled=false',        <- DO NOT USE, disables images entirely (only sometimes useful to speed up loading)
+]
+
+
+CHROME_ARGS = [
+	# Process management & performance tuning
+	# chrome://process-internals
+	# '--disable-lazy-loading',  # make rendering more deterministic by loading all content up-front instead of on-focus
+	# '--disable-renderer-backgrounding',  # dont throttle tab rendering based on focus/visibility
+	# '--disable-background-networking',  # dont throttle tab networking based on focus/visibility
+	# '--disable-background-timer-throttling',  # dont throttle tab timers based on focus/visibility
+	# '--disable-backgrounding-occluded-windows',  # dont throttle tab window based on focus/visibility
+	# '--disable-ipc-flooding-protection',  # dont throttle ipc traffic or accessing big request/response/buffer/etc. objects will fail
+	# '--disable-extensions-http-throttling',  # dont throttle http traffic based on runtime heuristics
+	# '--disable-field-trial-config',  # disable shared field trial state between browser processes
+	# '--disable-back-forward-cache',  # disable browsing navigation cache
+	# Profile data dir setup
+	# chrome://profile-internals
+	# f'--user-data-dir={CHROME_PROFILE_PATH}',     # managed by playwright arg instead
+	# f'--profile-directory={CHROME_PROFILE_USER}',
+	# '--password-store=basic',  # use mock keychain instead of OS-provided keychain (we manage auth.json instead)
+	# '--use-mock-keychain',
+	# '--disable-cookie-encryption',  # we need to be able to write unencrypted cookies to save/load auth.json
+	'--disable-sync',  # don't try to use Google account sync features while automation is active
+	# Extensions
+	# chrome://inspect/#extensions
+	# f'--load-extension={CHROME_EXTENSIONS.map(({unpacked_path}) => unpacked_path).join(',')}',  # not needed when using existing profile that already has extensions installed
+	# f'--allowlisted-extension-id={",".join(CHROME_EXTENSIONS.keys())}',
+	'--allow-legacy-extension-manifests',
+	'--allow-pre-commit-input',  # allow JS mutations before page rendering is complete
+	'--disable-blink-features=AutomationControlled',  # hide the signatures that announce browser is being remote-controlled
+	# f'--proxy-server=https://43.159.28.126:2334:u7ce652b7568805c4-zone-custom-region-us-session-szGWq3FRU-sessTime-60:u7ce652b7568805c4',      # send all network traffic through a proxy https://2captcha.com/proxy
+	# f'--proxy-bypass-list=127.0.0.1',
+	# Browser window and viewport setup
+	# chrome://version
+	# f'--user-agent="{DEFAULT_USER_AGENT}"',
+	# f'--window-size={DEFAULT_VIEWPORT.width},{DEFAULT_VIEWPORT.height}',
+	# '--window-position=0,0',
+	# '--start-maximized',
+	'--install-autogenerated-theme=0,0,0',  # black border makes it easier to see which chrome window is browser-use's
+	'--hide-scrollbars',  # stop scrollbars from affecting screenshot width/height
+	#'--virtual-time-budget=60000',  # DONT USE THIS, makes chrome hang forever and doesn't work, used to fast-forward all animations & timers by 60s, dont use this it's unfortunately buggy and breaks screenshot and PDF capture sometimes
+	#'--autoplay-policy=no-user-gesture-required',  # auto-start videos so they trigger network requests + show up in outputs
+	#'--disable-gesture-requirement-for-media-playback',
+	#'--lang=en-US,en;q=0.9',
+	# IO: stdin/stdout, debug port config
+	# chrome://inspect
+	'--log-level=2',  # 1=DEBUG 2=WARNING 3=ERROR
+	'--enable-logging=stderr',
+	# '--remote-debugging-address=127.0.0.1',         <- DONT USE THIS, no longer supported on chrome >100, never expose to non-localhost, would allow attacker to drive your browser from any machine
+	# '--enable-experimental-extension-apis',          # add support for tab groups via chrome.tabs extension API
+	'--disable-focus-on-load',  # prevent browser from hijacking focus
+	'--disable-window-activation',
+	# '--in-process-gpu',                            <- DONT USE THIS, makes headful startup time ~5-10s slower (tested v121 Google Chrome.app on macOS)
+	# '--disable-component-extensions-with-background-pages',  # TODO: check this, disables chrome components that only run in background with no visible UI (could lower startup time)
+	# uncomment to disable hardware camera/mic/speaker access + present fake devices to websites
+	# (faster to disable, but disabling breaks recording browser audio in puppeteer-stream screenrecordings)
+	# '--use-fake-device-for-media-stream',
+	# '--use-fake-ui-for-media-stream',
+	# '--disable-features=GlobalMediaControls,MediaRouter,DialMediaRouteProvider',
+	# Output format options (PDF, screenshot, etc.)
+	'--export-tagged-pdf',  # include table on contents and tags in printed PDFs
+	'--generate-pdf-document-outline',
+	# Suppress first-run features, popups, hints, updates, etc.
+	# chrome://system
+	'--no-pings',
+	'--no-default-browser-check',
+	'--no-startup-window',
+	'--ash-no-nudges',
+	'--disable-infobars',
+	'--disable-search-engine-choice-screen',
+	'--disable-session-crashed-bubble',
+	'--simulate-outdated-no-au="Tue, 31 Dec 2099 23:59:59 GMT"',  # disable browser self-update while automation is active
+	'--hide-crash-restore-bubble',
+	'--suppress-message-center-popups',
+	'--disable-client-side-phishing-detection',
+	'--disable-domain-reliability',
+	'--disable-datasaver-prompt',
+	'--disable-hang-monitor',
+	'--disable-session-crashed-bubble',
+	'--disable-speech-synthesis-api',
+	'--disable-speech-api',
+	'--disable-print-preview',
+	'--safebrowsing-disable-auto-update',
+	# '--deny-permission-prompts',
+	'--disable-external-intent-requests',
+	# '--disable-notifications',
+	'--disable-desktop-notifications',
+	'--noerrdialogs',
+	'--disable-prompt-on-repost',
+	'--silent-debugger-extension-api',
+	# '--block-new-web-contents',
+	'--metrics-recording-only',
+	'--disable-breakpad',
+	# other feature flags
+	# chrome://flags        chrome://components
+	f'--disable-features={",".join(CHROME_DISABLED_COMPONENTS)}',
+	'--enable-features=NetworkService',
+]
diff --git a/src/browser_use/browser/context.py b/src/browser_use/browser/context.py
new file mode 100644
index 00000000..2f47d3ca
--- /dev/null
+++ b/src/browser_use/browser/context.py
@@ -0,0 +1,2027 @@
+"""
+Playwright browser on steroids.
+"""
+
+import asyncio
+import base64
+import gc
+import json
+import logging
+import os
+import re
+import time
+import uuid
+from dataclasses import dataclass
+from typing import TYPE_CHECKING
+
+import anyio
+from playwright._impl._errors import TimeoutError
+from playwright.async_api import Browser as PlaywrightBrowser
+from playwright.async_api import (
+	BrowserContext as PlaywrightBrowserContext,
+)
+from playwright.async_api import (
+	ElementHandle,
+	FrameLocator,
+	Page,
+)
+from pydantic import BaseModel, ConfigDict, Field
+
+from browser_use.browser.views import (
+	BrowserError,
+	BrowserState,
+	TabInfo,
+	URLNotAllowedError,
+)
+from browser_use.dom.clickable_element_processor.service import ClickableElementProcessor
+from browser_use.dom.service import DomService
+from browser_use.dom.views import DOMElementNode, SelectorMap
+from browser_use.utils import time_execution_async, time_execution_sync
+
+if TYPE_CHECKING:
+	from browser_use.browser.browser import Browser
+
+logger = logging.getLogger(__name__)
+
+import platform
+
+BROWSER_NAVBAR_HEIGHT = {
+	'windows': 85,
+	'darwin': 80,
+	'linux': 90,
+}.get(platform.system().lower(), 85)
+
+_GLOB_WARNING_SHOWN = False
+
+
+class BrowserContextConfig(BaseModel):
+	"""
+	Configuration for the BrowserContext.
+
+	Default values:
+	    cookies_file: None
+	        Path to cookies file for persistence
+
+		disable_security: False
+			Disable browser security features (dangerous, but cross-origin iframe support requires it)
+
+	    minimum_wait_page_load_time: 0.5
+	        Minimum time to wait before getting page state for LLM input
+
+		wait_for_network_idle_page_load_time: 1.0
+			Time to wait for network requests to finish before getting page state.
+			Lower values may result in incomplete page loads.
+
+	    maximum_wait_page_load_time: 5.0
+	        Maximum time to wait for page load before proceeding anyway
+
+	    wait_between_actions: 1.0
+	        Time to wait between multiple per step actions
+
+	    window_width: 1280
+	    window_height: 1100
+	        Default browser window dimensions
+
+	    no_viewport: True
+	        When True (default), the browser window size determines the viewport.
+	        When False, forces a fixed viewport size using window_width and window_height. (constraint of the rendered content to a smaller area than the default of the entire window size)
+
+	    save_recording_path: None
+	        Path to save video recordings
+
+	    save_downloads_path: None
+	        Path to save downloads to
+
+	    trace_path: None
+	        Path to save trace files. It will auto name the file with the TRACE_PATH/{context_id}.zip
+
+	    locale: None
+	        Specify user locale, for example en-GB, de-DE, etc. Locale will affect navigator.language value, Accept-Language request header value as well as number and date formatting rules. If not provided, defaults to the system default locale.
+
+	    user_agent: 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/85.0.4183.102 Safari/537.36'
+	        custom user agent to use.
+
+	    highlight_elements: True
+	        Highlight elements in the DOM on the screen
+
+	    viewport_expansion: 0
+	        Viewport expansion in pixels. This amount will increase the number of elements which are included in the state what the LLM will see. If set to -1, all elements will be included (this leads to high token usage). If set to 0, only the elements which are visible in the viewport will be included.
+
+	    allowed_domains: None
+	        List of allowed domains that can be accessed. If None, all domains are allowed.
+	        Example: ['example.com', 'api.example.com']
+
+	    include_dynamic_attributes: bool = True
+	        Include dynamic attributes in the CSS selector. If you want to reuse the css_selectors, it might be better to set this to False.
+
+		  http_credentials: None
+	  Dictionary with HTTP basic authentication credentials for corporate intranets (only supports one set of credentials for all URLs at the moment), e.g.
+	  {"username": "bill", "password": "pa55w0rd"}
+
+	    is_mobile: None
+	        Whether the meta viewport tag is taken into account and touch events are enabled.
+
+	    has_touch: None
+	        Whether to enable touch events in the browser.
+
+	    geolocation: None
+	        Geolocation to be used in the browser context. Example: {'latitude': 59.95, 'longitude': 30.31667}
+
+	    permissions: ['clipboard-read', 'clipboard-write']
+	        Browser permissions to grant. See full list here: https://playwright.dev/python/docs/api/class-browsercontext#browser-context-grant-permissions
+
+	    timezone_id: None
+	        Changes the timezone of the browser. Example: 'Europe/Berlin'
+
+		force_new_context: False
+			Forces a new browser context to be created. Useful when running locally with branded browser (e.g Chrome, Edge) and setting a custom config.
+	"""
+
+	model_config = ConfigDict(
+		arbitrary_types_allowed=True,
+		extra='ignore',
+		populate_by_name=True,
+		from_attributes=True,
+		validate_assignment=True,
+		revalidate_instances='subclass-instances',
+	)
+
+	cookies_file: str | None = None
+	minimum_wait_page_load_time: float = 0.25
+	wait_for_network_idle_page_load_time: float = 0.5
+	maximum_wait_page_load_time: float = 5
+	wait_between_actions: float = 0.5
+
+	disable_security: bool = False  # disable_security=True is dangerous as any malicious URL visited could embed an iframe for the user's bank, and use their cookies to steal money
+
+	window_width: int = 1280
+	window_height: int = 1100
+	no_viewport: bool = True  # True is the default for headful mode - browser window size determines viewport
+
+	save_recording_path: str | None = None
+	save_downloads_path: str | None = None
+	save_har_path: str | None = None
+	trace_path: str | None = None
+	locale: str | None = None
+	user_agent: str | None = None
+
+	highlight_elements: bool = True
+	viewport_expansion: int = 0
+	allowed_domains: list[str] | None = None
+	include_dynamic_attributes: bool = True
+	http_credentials: dict[str, str] | None = None
+
+	keep_alive: bool = Field(default=False, alias='_force_keep_context_alive')  # used to be called _force_keep_context_alive
+	is_mobile: bool | None = None
+	has_touch: bool | None = None
+	geolocation: dict | None = None
+	permissions: list[str] = Field(
+		default_factory=lambda: [
+			'clipboard-read',
+			'clipboard-write',
+		]
+	)
+	timezone_id: str | None = None
+
+	force_new_context: bool = False
+
+
+@dataclass
+class CachedStateClickableElementsHashes:
+	"""
+	Clickable elements hashes for the last state
+	"""
+
+	url: str
+	hashes: set[str]
+
+
+class BrowserSession:
+	def __init__(self, context: PlaywrightBrowserContext, cached_state: BrowserState | None = None):
+		self.context = context
+		self.cached_state = cached_state
+
+		self.cached_state_clickable_elements_hashes: CachedStateClickableElementsHashes | None = None
+
+
+@dataclass
+class BrowserContextState:
+	"""
+	State of the browser context
+	"""
+
+	target_id: str | None = None  # CDP target ID
+
+
+class BrowserContext:
+	def __init__(
+		self,
+		browser: 'Browser',
+		config: BrowserContextConfig | None = None,
+		state: BrowserContextState | None = None,
+	):
+		self.context_id = str(uuid.uuid4())
+
+		self.config = config or BrowserContextConfig(**(browser.config.model_dump() if browser.config else {}))
+		self.browser = browser
+
+		self.state = state or BrowserContextState()
+
+		# Initialize these as None - they'll be set up when needed
+		self.session: BrowserSession | None = None
+
+		# Tab references - separate concepts for agent intent and browser state
+		self.agent_current_page: Page | None = None  # The tab the agent intends to interact with
+		self.human_current_page: Page | None = None  # The tab currently shown in the browser UI
+
+	async def __aenter__(self):
+		"""Async context manager entry"""
+		await self._initialize_session()
+		return self
+
+	async def __aexit__(self, exc_type, exc_val, exc_tb):
+		"""Async context manager exit"""
+		await self.close()
+
+	@time_execution_async('--close')
+	async def close(self):
+		"""Close the browser instance"""
+
+		try:
+			if self.session is None:
+				return
+
+			# Then remove CDP protocol listeners
+			if self._page_event_handler and self.session.context:
+				try:
+					# This actually sends a CDP command to unsubscribe
+					self.session.context.remove_listener('page', self._page_event_handler)
+				except Exception as e:
+					logger.debug(f'Failed to remove CDP listener: {e}')
+				self._page_event_handler = None
+
+			await self.save_cookies()
+
+			if self.config.trace_path:
+				try:
+					await self.session.context.tracing.stop(path=os.path.join(self.config.trace_path, f'{self.context_id}.zip'))
+				except Exception as e:
+					logger.debug(f'Failed to stop tracing: {e}')
+
+			# This is crucial - it closes the CDP connection
+			if not self.config.keep_alive:
+				logger.debug('Closing browser context')
+				try:
+					await self.session.context.close()
+				except Exception as e:
+					logger.debug(f'Failed to close context: {e}')
+
+		finally:
+			# Dereference everything
+			self.agent_current_page = None
+			self.human_current_page = None
+			self.session = None
+			self._page_event_handler = None
+
+	def __del__(self):
+		"""Cleanup when object is destroyed"""
+		if not self.config.keep_alive and self.session is not None:
+			logger.debug('BrowserContext was not properly closed before destruction')
+			try:
+				# Use sync Playwright method for force cleanup
+				if hasattr(self.session.context, '_impl_obj'):
+					asyncio.run(self.session.context._impl_obj.close())
+
+				self.session = None
+				self.agent_current_page = None
+				self.human_current_page = None
+				gc.collect()
+			except Exception as e:
+				logger.warning(f'Failed to force close browser context: {e}')
+
+	@time_execution_async('--initialize_session')
+	async def _initialize_session(self):
+		"""Initialize the browser session"""
+		logger.debug(f'🌎  Initializing new browser context with id: {self.context_id}')
+
+		playwright_browser = await self.browser.get_playwright_browser()
+		context = await self._create_context(playwright_browser)
+		self._page_event_handler = None
+
+		# auto-attach the foregrounding-detection listener to all new pages opened
+		context.on('page', self._add_tab_foregrounding_listener)
+
+		# Get or create a page to use
+		pages = context.pages
+
+		self.session = BrowserSession(
+			context=context,
+			cached_state=None,
+		)
+
+		current_page = None
+		if self.browser.config.cdp_url:
+			# If we have a saved target ID, try to find and activate it
+			if self.state.target_id:
+				targets = await self._get_cdp_targets()
+				for target in targets:
+					if target['targetId'] == self.state.target_id:
+						# Find matching page by URL
+						for page in pages:
+							if page.url == target['url']:
+								current_page = page
+								break
+						break
+
+		# If no target ID or couldn't find it, use existing page or create new
+		if not current_page:
+			if (
+				pages
+				and pages[0].url
+				and not pages[0].url.startswith('chrome://')  # skip chrome internal pages e.g. settings, history, etc
+				and not pages[0].url.startswith('chrome-extension://')  # skip hidden extension background pages
+			):
+				current_page = pages[0]
+				logger.debug('🔍  Using existing page: %s', current_page.url)
+			else:
+				current_page = await context.new_page()
+				await current_page.goto('about:blank')
+				logger.debug('🆕  Created new page: %s', current_page.url)
+
+			# Get target ID for the active page
+			if self.browser.config.cdp_url:
+				targets = await self._get_cdp_targets()
+				for target in targets:
+					if target['url'] == current_page.url:
+						self.state.target_id = target['targetId']
+						break
+
+		# Bring page to front
+		logger.debug('🫨  Bringing tab to front: %s', current_page)
+		await current_page.bring_to_front()
+		await current_page.wait_for_load_state('load')
+
+		# Set the viewport size for the active page
+		await self.set_viewport_size(current_page)
+
+		# Initialize both tab references to the same page initially
+		self.agent_current_page = current_page
+		self.human_current_page = current_page
+
+		# Set up visibility listeners for all existing tabs
+		for page in pages:
+			if not page.url.startswith('chrome-extension://') and not page.url.startswith('chrome://') and not page.is_closed():
+				await self._add_tab_foregrounding_listener(page)
+				# logger.debug(f'👁️  Added visibility listener to existing tab: {page.url}')
+
+		return self.session
+
+	async def _add_tab_foregrounding_listener(self, page: Page):
+		"""
+		Attaches listeners that detect when the human steals active tab focus away from the agent.
+
+		Uses a combination of:
+		- visibilitychange events
+		- window focus/blur events
+		- pointermove events
+
+		This multi-method approach provides more reliable detection across browsers.
+
+		TODO: pester the playwright team to add a new event that fires when a headful tab is focused.
+		OR implement a browser-use chrome extension that acts as a bridge to the chrome.tabs API.
+
+		        - https://github.com/microsoft/playwright/issues/1290
+		        - https://github.com/microsoft/playwright/issues/2286
+		        - https://github.com/microsoft/playwright/issues/3570
+		        - https://github.com/microsoft/playwright/issues/13989
+		"""
+
+		def trunc(s, max_len=None):
+			s = s.replace('https://', '').replace('http://', '').replace('www.', '')
+			if max_len is not None and len(s) > max_len:
+				return s[:max_len] + '…'
+			return s
+
+		try:
+			# Generate a unique function name for this page
+			visibility_func_name = f'onVisibilityChange_{id(page)}{id(page.url)}'
+
+			# Define the callback that will be called from browser when tab becomes visible
+			async def on_visibility_change(data):
+				source = data.get('source', 'unknown')
+
+				# Log before and after for debugging
+				old_foreground = self.human_current_page
+				if old_foreground.url != page.url:
+					logger.warning(
+						f'👁️ Foregound tab changed by human from {trunc(old_foreground.url, 22) if old_foreground else "about:blank"} to {trunc(page.url, 22)} ({source}) but agent will stay on {trunc(self.agent_current_page.url, 22)}'
+					)
+
+				# Update foreground tab
+				self.human_current_page = page
+
+			# Expose the function to the browser
+			await page.expose_function(visibility_func_name, on_visibility_change)
+
+			# Set up multiple visibility detection methods in the browser
+			js_code = """() => {
+				// --- Method 1: visibilitychange event (unfortunately *all* tabs are always marked visible by playwright, usually does not fire) ---
+				document.addEventListener('visibilitychange', () => {
+					if (document.visibilityState === 'visible') {
+						window.onVisibilityChange_TABID({ source: 'visibilitychange' });
+					}
+				});
+				
+				// --- Method 2: focus/blur events, most reliable method for headful browsers ---
+				window.addEventListener('focus', () => {
+					window.onVisibilityChange_TABID({ source: 'focus' });
+				});
+				
+				// --- Method 3: pointermove events (may be fired by agent if we implement AI hover movements) ---
+				// Use a throttled handler to avoid excessive calls
+				// let lastMove = 0;
+				// window.addEventListener('pointermove', () => {
+				// 	const now = Date.now();
+				// 	if (now - lastMove > 1000) {  // Throttle to once per second
+				// 		lastMove = now;
+				// 		window.onVisibilityChange_TABID({ source: 'pointermove' });
+				// 	}
+				// });
+			}""".replace('onVisibilityChange_TABID', visibility_func_name)
+			# multiple reasons for doing it this way ^: stealth, uniqueness, sometimes pageload is cancelled and it runs twice, etc.
+			await page.evaluate(js_code)
+
+			# re-add listener to the page for when it navigates to a new url, because previous listeners will be cleared
+			page.on('domcontentloaded', self._add_tab_foregrounding_listener)
+			logger.debug(f'👀 Added tab focus listeners to tab: {page.url}')
+
+			if page.url != self.agent_current_page.url:
+				await on_visibility_change({'source': 'navigation'})
+
+		except Exception as e:
+			logger.debug(f'Failed to add tab focus listener to {page.url}: {e}')
+
+	async def get_session(self) -> BrowserSession:
+		"""Lazy initialization of the browser and related components"""
+		if self.session is None:
+			try:
+				return await self._initialize_session()
+			except Exception as e:
+				logger.error(f'❌  Failed to create new browser session: {e} (did the browser process quit?)')
+				raise e
+		return self.session
+
+	async def get_current_page(self) -> Page:
+		"""Legacy method for backwards compatibility, prefer get_agent_current_page()"""
+		return await self.get_agent_current_page()
+
+	async def _reconcile_tab_state(self) -> None:
+		"""Reconcile tab state when tabs might be out of sync.
+
+		This method ensures that:
+		1. Both tab references (agent_current_page and human_current_page) are valid
+		2. Recovers invalid tab references using valid ones
+		3. Handles the case where both references are invalid
+		"""
+		session = await self.get_session()
+
+		agent_tab_valid = (
+			self.agent_current_page
+			and self.agent_current_page in session.context.pages
+			and not self.agent_current_page.is_closed()
+		)
+
+		human_current_page_valid = (
+			self.human_current_page
+			and self.human_current_page in session.context.pages
+			and not self.human_current_page.is_closed()
+		)
+
+		# Case 1: Both references are valid - nothing to do
+		if agent_tab_valid and human_current_page_valid:
+			return
+
+		# Case 2: Only agent_current_page is valid - update human_current_page
+		if agent_tab_valid and not human_current_page_valid:
+			self.human_current_page = self.agent_current_page
+			return
+
+		# Case 3: Only human_current_page is valid - update agent_current_page
+		if human_current_page_valid and not agent_tab_valid:
+			self.agent_current_page = self.human_current_page
+			return
+
+		# Case 4: Neither reference is valid - recover from available tabs
+		non_extension_pages = [
+			page
+			for page in session.context.pages
+			if not page.url.startswith('chrome-extension://') and not page.url.startswith('chrome://')
+		]
+
+		if non_extension_pages:
+			# Update both tab references to the most recently opened non-extension page
+			recovered_page = non_extension_pages[-1]
+			self.agent_current_page = recovered_page
+			self.human_current_page = recovered_page
+			return
+
+		# Case 5: No valid pages at all - create a new page
+		try:
+			new_page = await session.context.new_page()
+			self.agent_current_page = new_page
+			self.human_current_page = new_page
+		except Exception:
+			# Last resort - recreate the session
+			logger.warning('⚠️  No browser window available, recreating session')
+			await self._initialize_session()
+			if session.context.pages:
+				page = session.context.pages[0]
+				self.agent_current_page = page
+				self.human_current_page = page
+
+	async def get_agent_current_page(self) -> Page:
+		"""Get the page that the agent is currently working with.
+
+		This method prioritizes agent_current_page over human_current_page, ensuring
+		that agent operations happen on the intended tab regardless of user
+		interaction with the browser.
+
+		If agent_current_page is invalid or closed, it will attempt to recover
+		with a valid tab reference by reconciling the tab state.
+		"""
+		session = await self.get_session()
+
+		# First check if agent_current_page is valid
+		if (
+			self.agent_current_page
+			and self.agent_current_page in session.context.pages
+			and not self.agent_current_page.is_closed()
+		):
+			return self.agent_current_page
+
+		# If we're here, reconcile tab state and try again
+		await self._reconcile_tab_state()
+
+		# After reconciliation, agent_current_page should be valid
+		if (
+			self.agent_current_page
+			and self.agent_current_page in session.context.pages
+			and not self.agent_current_page.is_closed()
+		):
+			return self.agent_current_page
+
+		# If still invalid, fall back to first page method as last resort
+		logger.warning('⚠️  Failed to get agent current page, falling back to first page')
+		if session.context.pages:
+			page = session.context.pages[0]
+			self.agent_current_page = page
+			self.human_current_page = page
+			return page
+
+		# If no pages, create one
+		return await session.context.new_page()
+
+	async def _create_context(self, browser: PlaywrightBrowser):
+		"""Creates a new browser context with anti-detection measures and loads cookies if available."""
+		if self.browser.config.cdp_url and len(browser.contexts) > 0 and not self.config.force_new_context:
+			context = browser.contexts[0]
+			# For existing contexts, we need to set the viewport size manually
+			if context.pages and not self.browser.config.headless:
+				for page in context.pages:
+					await self.set_viewport_size(page)
+		elif self.browser.config.browser_binary_path and len(browser.contexts) > 0 and not self.config.force_new_context:
+			# Connect to existing Chrome instance instead of creating new one
+			context = browser.contexts[0]
+			# For existing contexts, we need to set the viewport size manually
+			if context.pages and not self.browser.config.headless:
+				for page in context.pages:
+					await self.set_viewport_size(page)
+		else:
+			kwargs = {}
+			# Set viewport for both headless and non-headless modes
+			if self.browser.config.headless:
+				# In headless mode, always set viewport and no_viewport=False
+				kwargs['viewport'] = {'width': self.config.window_width, 'height': self.config.window_height}
+				kwargs['no_viewport'] = False
+			else:
+				# In headful mode, use the no_viewport value from config (defaults to True)
+				no_viewport_value = self.config.no_viewport
+				kwargs['no_viewport'] = no_viewport_value
+
+				# Only set viewport if no_viewport is False
+				if not no_viewport_value:
+					kwargs['viewport'] = {'width': self.config.window_width, 'height': self.config.window_height}
+
+			if self.config.user_agent is not None:
+				kwargs['user_agent'] = self.config.user_agent
+
+			context = await browser.new_context(
+				**kwargs,
+				java_script_enabled=True,
+				**({'bypass_csp': True, 'ignore_https_errors': True} if self.config.disable_security else {}),
+				record_video_dir=self.config.save_recording_path,
+				record_video_size={'width': self.config.window_width, 'height': self.config.window_height},
+				record_har_path=self.config.save_har_path,
+				locale=self.config.locale,
+				http_credentials=self.config.http_credentials,
+				is_mobile=self.config.is_mobile,
+				has_touch=self.config.has_touch,
+				geolocation=self.config.geolocation,
+				permissions=self.config.permissions,
+				timezone_id=self.config.timezone_id,
+			)
+
+		# Ensure required permissions are granted
+		required_permissions = ['clipboard-read', 'clipboard-write']  # needed for google sheets automation
+		if self.config.geolocation:
+			required_permissions.append('geolocation')
+		missing_permissions = [p for p in required_permissions if p not in self.config.permissions]
+		if any(missing_permissions):
+			logger.warning(
+				f'⚠️ Some permissions required by browser-use {missing_permissions} are missing from BrowserContextConfig(permissions={self.config.permissions}), some features may not work properly!'
+			)
+		await context.grant_permissions(self.config.permissions)
+
+		if self.config.trace_path:
+			await context.tracing.start(screenshots=True, snapshots=True, sources=True)
+
+		# Resize the window for non-headless mode
+		if not self.browser.config.headless:
+			await self._resize_window(context)
+
+		# Load cookies if they exist
+		if self.config.cookies_file and os.path.exists(self.config.cookies_file):
+			async with await anyio.open_file(self.config.cookies_file, 'r') as f:
+				try:
+					cookies = json.loads(await f.read())
+
+					valid_same_site_values = ['Strict', 'Lax', 'None']
+					for cookie in cookies:
+						if 'sameSite' in cookie:
+							if cookie['sameSite'] not in valid_same_site_values:
+								logger.warning(
+									f"Fixed invalid sameSite value '{cookie['sameSite']}' to 'None' for cookie {cookie.get('name')}"
+								)
+								cookie['sameSite'] = 'None'
+					logger.info(f'🍪  Loaded {len(cookies)} cookies from {self.config.cookies_file}')
+					await context.add_cookies(cookies)
+
+				except json.JSONDecodeError as e:
+					logger.error(f'Failed to parse cookies file: {str(e)}')
+
+		init_script = """
+			// check to make sure we're not inside the PDF viewer
+			window.isPdfViewer = !!document?.body?.querySelector('body > embed[type="application/pdf"][width="100%"]')
+			if (!window.isPdfViewer) {
+	
+				// Permissions
+				const originalQuery = window.navigator.permissions.query;
+				window.navigator.permissions.query = (parameters) => (
+					parameters.name === 'notifications' ?
+						Promise.resolve({ state: Notification.permission }) :
+						originalQuery(parameters)
+				);
+				(() => {
+					if (window._eventListenerTrackerInitialized) return;
+					window._eventListenerTrackerInitialized = true;
+
+					const originalAddEventListener = EventTarget.prototype.addEventListener;
+					const eventListenersMap = new WeakMap();
+
+					EventTarget.prototype.addEventListener = function(type, listener, options) {
+						if (typeof listener === "function") {
+							let listeners = eventListenersMap.get(this);
+							if (!listeners) {
+								listeners = [];
+								eventListenersMap.set(this, listeners);
+							}
+
+							listeners.push({
+								type,
+								listener,
+								listenerPreview: listener.toString().slice(0, 100),
+								options
+							});
+						}
+
+						return originalAddEventListener.call(this, type, listener, options);
+					};
+
+					window.getEventListenersForNode = (node) => {
+						const listeners = eventListenersMap.get(node) || [];
+						return listeners.map(({ type, listenerPreview, options }) => ({
+							type,
+							listenerPreview,
+							options
+						}));
+					};
+				})();
+			}
+			"""
+
+		# Expose anti-detection scripts
+		await context.add_init_script(init_script)
+
+		return context
+
+	async def set_viewport_size(self, page: Page) -> None:
+		"""
+		Central method to set viewport size for a page.
+		Simple for now, but we may need to add more logic here in the future to rezise surrounding window, change recording options, etc.
+		"""
+		try:
+			# Only set viewport size if no_viewport is False (aka viewport=True)
+			if self.config.no_viewport is False:
+				viewport_size = {'width': self.config.window_width, 'height': self.config.window_height}
+				await page.set_viewport_size(viewport_size)
+				logger.debug(f'Set viewport size to {self.config.window_width}x{self.config.window_height}')
+			# else:
+			# logger.debug('Skipping viewport size setting because no_viewport is not False')
+		except Exception as e:
+			logger.debug(f'Failed to set viewport size for page: {e}')
+
+	async def _wait_for_stable_network(self):
+		page = await self.get_agent_current_page()
+
+		pending_requests = set()
+		last_activity = asyncio.get_event_loop().time()
+
+		# Define relevant resource types and content types
+		RELEVANT_RESOURCE_TYPES = {
+			'document',
+			'stylesheet',
+			'image',
+			'font',
+			'script',
+			'iframe',
+		}
+
+		RELEVANT_CONTENT_TYPES = {
+			'text/html',
+			'text/css',
+			'application/javascript',
+			'image/',
+			'font/',
+			'application/json',
+		}
+
+		# Additional patterns to filter out
+		IGNORED_URL_PATTERNS = {
+			# Analytics and tracking
+			'analytics',
+			'tracking',
+			'telemetry',
+			'beacon',
+			'metrics',
+			# Ad-related
+			'doubleclick',
+			'adsystem',
+			'adserver',
+			'advertising',
+			# Social media widgets
+			'facebook.com/plugins',
+			'platform.twitter',
+			'linkedin.com/embed',
+			# Live chat and support
+			'livechat',
+			'zendesk',
+			'intercom',
+			'crisp.chat',
+			'hotjar',
+			# Push notifications
+			'push-notifications',
+			'onesignal',
+			'pushwoosh',
+			# Background sync/heartbeat
+			'heartbeat',
+			'ping',
+			'alive',
+			# WebRTC and streaming
+			'webrtc',
+			'rtmp://',
+			'wss://',
+			# Common CDNs for dynamic content
+			'cloudfront.net',
+			'fastly.net',
+		}
+
+		async def on_request(request):
+			# Filter by resource type
+			if request.resource_type not in RELEVANT_RESOURCE_TYPES:
+				return
+
+			# Filter out streaming, websocket, and other real-time requests
+			if request.resource_type in {
+				'websocket',
+				'media',
+				'eventsource',
+				'manifest',
+				'other',
+			}:
+				return
+
+			# Filter out by URL patterns
+			url = request.url.lower()
+			if any(pattern in url for pattern in IGNORED_URL_PATTERNS):
+				return
+
+			# Filter out data URLs and blob URLs
+			if url.startswith(('data:', 'blob:')):
+				return
+
+			# Filter out requests with certain headers
+			headers = request.headers
+			if headers.get('purpose') == 'prefetch' or headers.get('sec-fetch-dest') in [
+				'video',
+				'audio',
+			]:
+				return
+
+			nonlocal last_activity
+			pending_requests.add(request)
+			last_activity = asyncio.get_event_loop().time()
+			# logger.debug(f'Request started: {request.url} ({request.resource_type})')
+
+		async def on_response(response):
+			request = response.request
+			if request not in pending_requests:
+				return
+
+			# Filter by content type if available
+			content_type = response.headers.get('content-type', '').lower()
+
+			# Skip if content type indicates streaming or real-time data
+			if any(
+				t in content_type
+				for t in [
+					'streaming',
+					'video',
+					'audio',
+					'webm',
+					'mp4',
+					'event-stream',
+					'websocket',
+					'protobuf',
+				]
+			):
+				pending_requests.remove(request)
+				return
+
+			# Only process relevant content types
+			if not any(ct in content_type for ct in RELEVANT_CONTENT_TYPES):
+				pending_requests.remove(request)
+				return
+
+			# Skip if response is too large (likely not essential for page load)
+			content_length = response.headers.get('content-length')
+			if content_length and int(content_length) > 5 * 1024 * 1024:  # 5MB
+				pending_requests.remove(request)
+				return
+
+			nonlocal last_activity
+			pending_requests.remove(request)
+			last_activity = asyncio.get_event_loop().time()
+			# logger.debug(f'Request resolved: {request.url} ({content_type})')
+
+		# Attach event listeners
+		page.on('request', on_request)
+		page.on('response', on_response)
+
+		try:
+			# Wait for idle time
+			start_time = asyncio.get_event_loop().time()
+			while True:
+				await asyncio.sleep(0.1)
+				now = asyncio.get_event_loop().time()
+				if len(pending_requests) == 0 and (now - last_activity) >= self.config.wait_for_network_idle_page_load_time:
+					break
+				if now - start_time > self.config.maximum_wait_page_load_time:
+					logger.debug(
+						f'Network timeout after {self.config.maximum_wait_page_load_time}s with {len(pending_requests)} '
+						f'pending requests: {[r.url for r in pending_requests]}'
+					)
+					break
+
+		finally:
+			# Clean up event listeners
+			page.remove_listener('request', on_request)
+			page.remove_listener('response', on_response)
+
+		logger.debug(f'⚖️  Network stabilized for {self.config.wait_for_network_idle_page_load_time} seconds')
+
+	async def _wait_for_page_and_frames_load(self, timeout_overwrite: float | None = None):
+		"""
+		Ensures page is fully loaded before continuing.
+		Waits for either network to be idle or minimum WAIT_TIME, whichever is longer.
+		Also checks if the loaded URL is allowed.
+		"""
+		# Start timing
+		start_time = time.time()
+
+		# Wait for page load
+		try:
+			await self._wait_for_stable_network()
+
+			# Check if the loaded URL is allowed
+			page = await self.get_agent_current_page()
+			await self._check_and_handle_navigation(page)
+		except URLNotAllowedError as e:
+			raise e
+		except Exception:
+			logger.warning('⚠️  Page load failed, continuing...')
+			pass
+
+		# Calculate remaining time to meet minimum WAIT_TIME
+		elapsed = time.time() - start_time
+		remaining = max((timeout_overwrite or self.config.minimum_wait_page_load_time) - elapsed, 0)
+
+		logger.debug(f'--Page loaded in {elapsed:.2f} seconds, waiting for additional {remaining:.2f} seconds')
+
+		# Sleep remaining time if needed
+		if remaining > 0:
+			await asyncio.sleep(remaining)
+
+	def _is_url_allowed(self, url: str) -> bool:
+		"""
+		Check if a URL is allowed based on the whitelist configuration.
+
+		Supports glob patterns in allowed_domains:
+		- *.example.com will match sub.example.com and example.com
+		- *google.com will match google.com, agoogle.com, and www.google.com
+		"""
+
+		if not self.config.allowed_domains:
+			return True
+
+		def _show_glob_warning(domain: str, glob: str):
+			global _GLOB_WARNING_SHOWN
+			if not _GLOB_WARNING_SHOWN:
+				logger.warning(
+					# glob patterns are very easy to mess up and match too many domains by accident
+					# e.g. if you only need to access gmail, don't use *.google.com because an attacker could convince the agent to visit a malicious doc
+					# on docs.google.com/s/some/evil/doc to set up a prompt injection attack
+					"⚠️ Allowing agent to visit {domain} based on allowed_domains=['{glob}', ...]. Set allowed_domains=['{domain}', ...] explicitly to avoid the security risks of glob patterns!"
+				)
+				_GLOB_WARNING_SHOWN = True
+
+		try:
+			import fnmatch
+			from urllib.parse import urlparse
+
+			parsed_url = urlparse(url)
+
+			# Special case: Allow 'about:blank' explicitly
+			if url == 'about:blank' or parsed_url.scheme.lower() in ('chrome', 'brave', 'edge', 'chrome-extension'):
+				return True
+
+			# Extract only the hostname component (without auth credentials or port)
+			# Hostname returns only the domain portion, ignoring username:password and port
+			domain = parsed_url.hostname.lower() if parsed_url.hostname else ''
+
+			if not domain:
+				return False
+
+			for allowed_domain in self.config.allowed_domains:
+				allowed_domain = allowed_domain.lower()
+
+				# Handle glob patterns
+				if '*' in allowed_domain:
+					# Special handling for *.domain.tld pattern to also match the bare domain
+					if allowed_domain.startswith('*.'):
+						# If pattern is *.example.com, also allow example.com (without subdomain)
+						parent_domain = allowed_domain[2:]  # Remove the '*.' prefix
+						if domain == parent_domain or fnmatch.fnmatch(domain, allowed_domain):
+							_show_glob_warning(domain, allowed_domain)
+							return True
+					else:
+						# For other glob patterns like *google.com
+						if fnmatch.fnmatch(domain, allowed_domain):
+							_show_glob_warning(domain, allowed_domain)
+							return True
+				else:
+					# Standard matching (exact or subdomain)
+					if domain == allowed_domain:
+						return True
+
+			return False
+		except Exception as e:
+			logger.error(f'⛔️  Error checking URL allowlist: {type(e).__name__}: {e}')
+			return False
+
+	async def _check_and_handle_navigation(self, page: Page) -> None:
+		"""Check if current page URL is allowed and handle if not."""
+		if not self._is_url_allowed(page.url):
+			logger.warning(f'⛔️  Navigation to non-allowed URL detected: {page.url}')
+			try:
+				await self.go_back()
+			except Exception as e:
+				logger.error(f'⛔️  Failed to go back after detecting non-allowed URL: {str(e)}')
+			raise URLNotAllowedError(f'Navigation to non-allowed URL: {page.url}')
+
+	async def navigate_to(self, url: str):
+		"""Navigate the agent's current tab to a URL"""
+		if not self._is_url_allowed(url):
+			raise BrowserError(f'Navigation to non-allowed URL: {url}')
+
+		page = await self.get_agent_current_page()
+		await page.goto(url)
+		await page.wait_for_load_state()
+
+	async def refresh_page(self):
+		"""Refresh the agent's current page"""
+		page = await self.get_agent_current_page()
+		await page.reload()
+		await page.wait_for_load_state()
+
+	async def go_back(self):
+		"""Navigate the agent's tab back in browser history"""
+		page = await self.get_agent_current_page()
+		try:
+			# 10 ms timeout
+			await page.go_back(timeout=10, wait_until='domcontentloaded')
+			# await self._wait_for_page_and_frames_load(timeout_overwrite=1.0)
+		except Exception as e:
+			# Continue even if its not fully loaded, because we wait later for the page to load
+			logger.debug(f'⏮️  Error during go_back: {e}')
+
+	async def go_forward(self):
+		"""Navigate the agent's tab forward in browser history"""
+		page = await self.get_agent_current_page()
+		try:
+			await page.go_forward(timeout=10, wait_until='domcontentloaded')
+		except Exception as e:
+			# Continue even if its not fully loaded, because we wait later for the page to load
+			logger.debug(f'⏭️  Error during go_forward: {e}')
+
+	async def close_current_tab(self):
+		"""Close the current tab that the agent is working with.
+
+		This closes the tab that the agent is currently using (agent_current_page),
+		not necessarily the tab that is visible to the user (human_current_page).
+		If they are the same tab, both references will be updated.
+		"""
+		session = await self.get_session()
+		page = await self.get_agent_current_page()
+
+		# Check if this is the foreground tab as well
+		is_foreground = page == self.human_current_page
+
+		# Close the tab
+		await page.close()
+
+		# Clear agent's reference to the closed tab
+		self.agent_current_page = None
+
+		# Clear foreground reference if needed
+		if is_foreground:
+			self.human_current_page = None
+
+		# Switch to the first available tab if any exist
+		if session.context.pages:
+			await self.switch_to_tab(0)
+			# switch_to_tab already updates both tab references
+
+		# Otherwise, the browser will be closed
+
+	async def get_page_html(self) -> str:
+		"""Get the HTML content of the agent's current page"""
+		page = await self.get_agent_current_page()
+		return await page.content()
+
+	async def execute_javascript(self, script: str):
+		"""Execute JavaScript code on the agent's current page"""
+		page = await self.get_agent_current_page()
+		return await page.evaluate(script)
+
+	async def get_page_structure(self) -> str:
+		"""Get a debug view of the page structure including iframes"""
+		debug_script = """(() => {
+			function getPageStructure(element = document, depth = 0, maxDepth = 10) {
+				if (depth >= maxDepth) return '';
+
+				const indent = '  '.repeat(depth);
+				let structure = '';
+
+				// Skip certain elements that clutter the output
+				const skipTags = new Set(['script', 'style', 'link', 'meta', 'noscript']);
+
+				// Add current element info if it's not the document
+				if (element !== document) {
+					const tagName = element.tagName.toLowerCase();
+
+					// Skip uninteresting elements
+					if (skipTags.has(tagName)) return '';
+
+					const id = element.id ? `#${element.id}` : '';
+					const classes = element.className && typeof element.className === 'string' ?
+						`.${element.className.split(' ').filter(c => c).join('.')}` : '';
+
+					// Get additional useful attributes
+					const attrs = [];
+					if (element.getAttribute('role')) attrs.push(`role="${element.getAttribute('role')}"`);
+					if (element.getAttribute('aria-label')) attrs.push(`aria-label="${element.getAttribute('aria-label')}"`);
+					if (element.getAttribute('type')) attrs.push(`type="${element.getAttribute('type')}"`);
+					if (element.getAttribute('name')) attrs.push(`name="${element.getAttribute('name')}"`);
+					if (element.getAttribute('src')) {
+						const src = element.getAttribute('src');
+						attrs.push(`src="${src.substring(0, 50)}${src.length > 50 ? '...' : ''}"`);
+					}
+
+					// Add element info
+					structure += `${indent}${tagName}${id}${classes}${attrs.length ? ' [' + attrs.join(', ') + ']' : ''}\\n`;
+
+					// Handle iframes specially
+					if (tagName === 'iframe') {
+						try {
+							const iframeDoc = element.contentDocument || element.contentWindow?.document;
+							if (iframeDoc) {
+								structure += `${indent}  [IFRAME CONTENT]:\\n`;
+								structure += getPageStructure(iframeDoc, depth + 2, maxDepth);
+							} else {
+								structure += `${indent}  [IFRAME: No access - likely cross-origin]\\n`;
+							}
+						} catch (e) {
+							structure += `${indent}  [IFRAME: Access denied - ${e.message}]\\n`;
+						}
+					}
+				}
+
+				// Get all child elements
+				const children = element.children || element.childNodes;
+				for (const child of children) {
+					if (child.nodeType === 1) { // Element nodes only
+						structure += getPageStructure(child, depth + 1, maxDepth);
+					}
+				}
+
+				return structure;
+			}
+
+			return getPageStructure();
+		})()"""
+
+		page = await self.get_agent_current_page()
+		structure = await page.evaluate(debug_script)
+		return structure
+
+	@time_execution_sync('--get_state')  # This decorator might need to be updated to handle async
+	async def get_state(self, cache_clickable_elements_hashes: bool) -> BrowserState:
+		"""Get the current state of the browser
+
+		cache_clickable_elements_hashes: bool
+			If True, cache the clickable elements hashes for the current state. This is used to calculate which elements are new to the llm (from last message) -> reduces token usage.
+		"""
+		await self._wait_for_page_and_frames_load()
+		session = await self.get_session()
+		updated_state = await self._get_updated_state()
+
+		# Find out which elements are new
+		# Do this only if url has not changed
+		if cache_clickable_elements_hashes:
+			# if we are on the same url as the last state, we can use the cached hashes
+			if (
+				session.cached_state_clickable_elements_hashes
+				and session.cached_state_clickable_elements_hashes.url == updated_state.url
+			):
+				# Pointers, feel free to edit in place
+				updated_state_clickable_elements = ClickableElementProcessor.get_clickable_elements(updated_state.element_tree)
+
+				for dom_element in updated_state_clickable_elements:
+					dom_element.is_new = (
+						ClickableElementProcessor.hash_dom_element(dom_element)
+						not in session.cached_state_clickable_elements_hashes.hashes  # see which elements are new from the last state where we cached the hashes
+					)
+			# in any case, we need to cache the new hashes
+			session.cached_state_clickable_elements_hashes = CachedStateClickableElementsHashes(
+				url=updated_state.url,
+				hashes=ClickableElementProcessor.get_clickable_elements_hashes(updated_state.element_tree),
+			)
+
+		session.cached_state = updated_state
+
+		# Save cookies if a file is specified
+		if self.config.cookies_file:
+			asyncio.create_task(self.save_cookies())
+
+		return session.cached_state
+
+	async def _get_updated_state(self, focus_element: int = -1) -> BrowserState:
+		"""Update and return state."""
+		session = await self.get_session()
+
+		# Check if current page is still valid, if not switch to another available page
+		try:
+			page = await self.get_agent_current_page()
+			# Test if page is still accessible
+			await page.evaluate('1')
+		except Exception as e:
+			logger.debug(f'👋  Current page is no longer accessible: {str(e)}')
+			raise BrowserError('Browser closed: no valid pages available')
+
+		try:
+			await self.remove_highlights()
+			dom_service = DomService(page)
+			content = await dom_service.get_clickable_elements(
+				focus_element=focus_element,
+				viewport_expansion=self.config.viewport_expansion,
+				highlight_elements=self.config.highlight_elements,
+			)
+
+			tabs_info = await self.get_tabs_info()
+
+			# Get all cross-origin iframes within the page and open them in new tabs
+			# mark the titles of the new tabs so the LLM knows to check them for additional content
+			# unfortunately too buggy for now, too many sites use invisible cross-origin iframes for ads, tracking, youtube videos, social media, etc.
+			# and it distracts the bot by opening a lot of new tabs
+			# iframe_urls = await dom_service.get_cross_origin_iframes()
+			# for url in iframe_urls:
+			# 	if url in [tab.url for tab in tabs_info]:
+			# 		continue  # skip if the iframe if we already have it open in a tab
+			# 	new_page_id = tabs_info[-1].page_id + 1
+			# 	logger.debug(f'Opening cross-origin iframe in new tab #{new_page_id}: {url}')
+			# 	await self.create_new_tab(url)
+			# 	tabs_info.append(
+			# 		TabInfo(
+			# 			page_id=new_page_id,
+			# 			url=url,
+			# 			title=f'iFrame opened as new tab, treat as if embedded inside page #{self.state.target_id}: {page.url}',
+			# 			parent_page_id=self.state.target_id,
+			# 		)
+			# 	)
+
+			screenshot_b64 = await self.take_screenshot()
+			pixels_above, pixels_below = await self.get_scroll_info(page)
+
+			# Find the agent's active tab ID
+			agent_current_page_id = 0
+			if self.agent_current_page:
+				for tab_info in tabs_info:
+					if tab_info.url == self.agent_current_page.url:
+						agent_current_page_id = tab_info.page_id
+						break
+
+			self.current_state = BrowserState(
+				element_tree=content.element_tree,
+				selector_map=content.selector_map,
+				url=page.url,
+				title=await page.title(),
+				tabs=tabs_info,
+				screenshot=screenshot_b64,
+				pixels_above=pixels_above,
+				pixels_below=pixels_below,
+			)
+
+			return self.current_state
+		except Exception as e:
+			logger.error(f'❌  Failed to update state: {str(e)}')
+			# Return last known good state if available
+			if hasattr(self, 'current_state'):
+				return self.current_state
+			raise
+
+	# region - Browser Actions
+	@time_execution_async('--take_screenshot')
+	async def take_screenshot(self, full_page: bool = False) -> str:
+		"""
+		Returns a base64 encoded screenshot of the current page.
+		"""
+		page = await self.get_agent_current_page()
+
+		# We no longer force tabs to the foreground as it disrupts user focus
+		# await page.bring_to_front()
+		await page.wait_for_load_state()
+
+		screenshot = await page.screenshot(
+			full_page=full_page,
+			animations='disabled',
+			caret='initial',
+		)
+
+		screenshot_b64 = base64.b64encode(screenshot).decode('utf-8')
+
+		# await self.remove_highlights()
+
+		return screenshot_b64
+
+	@time_execution_async('--remove_highlights')
+	async def remove_highlights(self):
+		"""
+		Removes all highlight overlays and labels created by the highlightElement function.
+		Handles cases where the page might be closed or inaccessible.
+		"""
+		try:
+			page = await self.get_agent_current_page()
+			await page.evaluate(
+				"""
+                try {
+                    // Remove the highlight container and all its contents
+                    const container = document.getElementById('playwright-highlight-container');
+                    if (container) {
+                        container.remove();
+                    }
+
+                    // Remove highlight attributes from elements
+                    const highlightedElements = document.querySelectorAll('[browser-user-highlight-id^="playwright-highlight-"]');
+                    highlightedElements.forEach(el => {
+                        el.removeAttribute('browser-user-highlight-id');
+                    });
+                } catch (e) {
+                    console.error('Failed to remove highlights:', e);
+                }
+                """
+			)
+		except Exception as e:
+			logger.debug(f'⚠  Failed to remove highlights (this is usually ok): {str(e)}')
+			# Don't raise the error since this is not critical functionality
+			pass
+
+	# endregion
+
+	# region - User Actions
+
+	@classmethod
+	def _convert_simple_xpath_to_css_selector(cls, xpath: str) -> str:
+		"""Converts simple XPath expressions to CSS selectors."""
+		if not xpath:
+			return ''
+
+		# Remove leading slash if present
+		xpath = xpath.lstrip('/')
+
+		# Split into parts
+		parts = xpath.split('/')
+		css_parts = []
+
+		for part in parts:
+			if not part:
+				continue
+
+			# Handle custom elements with colons by escaping them
+			if ':' in part and '[' not in part:
+				base_part = part.replace(':', r'\:')
+				css_parts.append(base_part)
+				continue
+
+			# Handle index notation [n]
+			if '[' in part:
+				base_part = part[: part.find('[')]
+				# Handle custom elements with colons in the base part
+				if ':' in base_part:
+					base_part = base_part.replace(':', r'\:')
+				index_part = part[part.find('[') :]
+
+				# Handle multiple indices
+				indices = [i.strip('[]') for i in index_part.split(']')[:-1]]
+
+				for idx in indices:
+					try:
+						# Handle numeric indices
+						if idx.isdigit():
+							index = int(idx) - 1
+							base_part += f':nth-of-type({index + 1})'
+						# Handle last() function
+						elif idx == 'last()':
+							base_part += ':last-of-type'
+						# Handle position() functions
+						elif 'position()' in idx:
+							if '>1' in idx:
+								base_part += ':nth-of-type(n+2)'
+					except ValueError:
+						continue
+
+				css_parts.append(base_part)
+			else:
+				css_parts.append(part)
+
+		base_selector = ' > '.join(css_parts)
+		return base_selector
+
+	@classmethod
+	@time_execution_sync('--enhanced_css_selector_for_element')
+	def _enhanced_css_selector_for_element(cls, element: DOMElementNode, include_dynamic_attributes: bool = True) -> str:
+		"""
+		Creates a CSS selector for a DOM element, handling various edge cases and special characters.
+
+		Args:
+		        element: The DOM element to create a selector for
+
+		Returns:
+		        A valid CSS selector string
+		"""
+		try:
+			# Get base selector from XPath
+			css_selector = cls._convert_simple_xpath_to_css_selector(element.xpath)
+
+			# Handle class attributes
+			if 'class' in element.attributes and element.attributes['class'] and include_dynamic_attributes:
+				# Define a regex pattern for valid class names in CSS
+				valid_class_name_pattern = re.compile(r'^[a-zA-Z_][a-zA-Z0-9_-]*$')
+
+				# Iterate through the class attribute values
+				classes = element.attributes['class'].split()
+				for class_name in classes:
+					# Skip empty class names
+					if not class_name.strip():
+						continue
+
+					# Check if the class name is valid
+					if valid_class_name_pattern.match(class_name):
+						# Append the valid class name to the CSS selector
+						css_selector += f'.{class_name}'
+					else:
+						# Skip invalid class names
+						continue
+
+			# Expanded set of safe attributes that are stable and useful for selection
+			SAFE_ATTRIBUTES = {
+				# Data attributes (if they're stable in your application)
+				'id',
+				# Standard HTML attributes
+				'name',
+				'type',
+				'placeholder',
+				# Accessibility attributes
+				'aria-label',
+				'aria-labelledby',
+				'aria-describedby',
+				'role',
+				# Common form attributes
+				'for',
+				'autocomplete',
+				'required',
+				'readonly',
+				# Media attributes
+				'alt',
+				'title',
+				'src',
+				# Custom stable attributes (add any application-specific ones)
+				'href',
+				'target',
+			}
+
+			if include_dynamic_attributes:
+				dynamic_attributes = {
+					'data-id',
+					'data-qa',
+					'data-cy',
+					'data-testid',
+				}
+				SAFE_ATTRIBUTES.update(dynamic_attributes)
+
+			# Handle other attributes
+			for attribute, value in element.attributes.items():
+				if attribute == 'class':
+					continue
+
+				# Skip invalid attribute names
+				if not attribute.strip():
+					continue
+
+				if attribute not in SAFE_ATTRIBUTES:
+					continue
+
+				# Escape special characters in attribute names
+				safe_attribute = attribute.replace(':', r'\:')
+
+				# Handle different value cases
+				if value == '':
+					css_selector += f'[{safe_attribute}]'
+				elif any(char in value for char in '"\'<>`\n\r\t'):
+					# Use contains for values with special characters
+					# For newline-containing text, only use the part before the newline
+					if '\n' in value:
+						value = value.split('\n')[0]
+					# Regex-substitute *any* whitespace with a single space, then strip.
+					collapsed_value = re.sub(r'\s+', ' ', value).strip()
+					# Escape embedded double-quotes.
+					safe_value = collapsed_value.replace('"', '\\"')
+					css_selector += f'[{safe_attribute}*="{safe_value}"]'
+				else:
+					css_selector += f'[{safe_attribute}="{value}"]'
+
+			return css_selector
+
+		except Exception:
+			# Fallback to a more basic selector if something goes wrong
+			tag_name = element.tag_name or '*'
+			return f"{tag_name}[highlight_index='{element.highlight_index}']"
+
+	@time_execution_async('--is_visible')
+	async def _is_visible(self, element: ElementHandle) -> bool:
+		"""
+		Checks if an element is visible on the page.
+		We use our own implementation instead of relying solely on Playwright's is_visible() because
+		of edge cases with CSS frameworks like Tailwind. When elements use Tailwind's 'hidden' class,
+		the computed style may return display as '' (empty string) instead of 'none', causing Playwright
+		to incorrectly consider hidden elements as visible. By additionally checking the bounding box
+		dimensions, we catch elements that have zero width/height regardless of how they were hidden.
+		"""
+		is_hidden = await element.is_hidden()
+		bbox = await element.bounding_box()
+
+		return not is_hidden and bbox is not None and bbox['width'] > 0 and bbox['height'] > 0
+
+	@time_execution_async('--get_locate_element')
+	async def get_locate_element(self, element: DOMElementNode) -> ElementHandle | None:
+		current_frame = await self.get_agent_current_page()
+
+		# Start with the target element and collect all parents
+		parents: list[DOMElementNode] = []
+		current = element
+		while current.parent is not None:
+			parent = current.parent
+			parents.append(parent)
+			current = parent
+
+		# Reverse the parents list to process from top to bottom
+		parents.reverse()
+
+		# Process all iframe parents in sequence
+		iframes = [item for item in parents if item.tag_name == 'iframe']
+		for parent in iframes:
+			css_selector = self._enhanced_css_selector_for_element(
+				parent,
+				include_dynamic_attributes=self.config.include_dynamic_attributes,
+			)
+			current_frame = current_frame.frame_locator(css_selector)
+
+		css_selector = self._enhanced_css_selector_for_element(
+			element, include_dynamic_attributes=self.config.include_dynamic_attributes
+		)
+
+		try:
+			if isinstance(current_frame, FrameLocator):
+				element_handle = await current_frame.locator(css_selector).element_handle()
+				return element_handle
+			else:
+				# Try to scroll into view if hidden
+				element_handle = await current_frame.query_selector(css_selector)
+				if element_handle:
+					is_visible = await self._is_visible(element_handle)
+					if is_visible:
+						await element_handle.scroll_into_view_if_needed()
+					return element_handle
+				return None
+		except Exception as e:
+			logger.error(f'❌  Failed to locate element: {str(e)}')
+			return None
+
+	@time_execution_async('--get_locate_element_by_xpath')
+	async def get_locate_element_by_xpath(self, xpath: str) -> ElementHandle | None:
+		"""
+		Locates an element on the page using the provided XPath.
+		"""
+		current_frame = await self.get_agent_current_page()
+
+		try:
+			# Use XPath to locate the element
+			element_handle = await current_frame.query_selector(f'xpath={xpath}')
+			if element_handle:
+				is_visible = await self._is_visible(element_handle)
+				if is_visible:
+					await element_handle.scroll_into_view_if_needed()
+				return element_handle
+			return None
+		except Exception as e:
+			logger.error(f'❌  Failed to locate element by XPath {xpath}: {str(e)}')
+			return None
+
+	@time_execution_async('--get_locate_element_by_css_selector')
+	async def get_locate_element_by_css_selector(self, css_selector: str) -> ElementHandle | None:
+		"""
+		Locates an element on the page using the provided CSS selector.
+		"""
+		current_frame = await self.get_agent_current_page()
+
+		try:
+			# Use CSS selector to locate the element
+			element_handle = await current_frame.query_selector(css_selector)
+			if element_handle:
+				is_visible = await self._is_visible(element_handle)
+				if is_visible:
+					await element_handle.scroll_into_view_if_needed()
+				return element_handle
+			return None
+		except Exception as e:
+			logger.error(f'❌  Failed to locate element by CSS selector {css_selector}: {str(e)}')
+			return None
+
+	@time_execution_async('--get_locate_element_by_text')
+	async def get_locate_element_by_text(
+		self, text: str, nth: int | None = 0, element_type: str | None = None
+	) -> ElementHandle | None:
+		"""
+		Locates an element on the page using the provided text.
+		If `nth` is provided, it returns the nth matching element (0-based).
+		If `element_type` is provided, filters by tag name (e.g., 'button', 'span').
+		"""
+		current_frame = await self.get_agent_current_page()
+		try:
+			# handle also specific element type or use any type.
+			selector = f'{element_type or "*"}:text("{text}")'
+			elements = await current_frame.query_selector_all(selector)
+			# considering only visible elements
+			elements = [el for el in elements if await self._is_visible(el)]
+
+			if not elements:
+				logger.error(f"No visible element with text '{text}' found.")
+				return None
+
+			if nth is not None:
+				if 0 <= nth < len(elements):
+					element_handle = elements[nth]
+				else:
+					logger.error(f"Visible element with text '{text}' not found at index {nth}.")
+					return None
+			else:
+				element_handle = elements[0]
+
+			is_visible = await self._is_visible(element_handle)
+			if is_visible:
+				await element_handle.scroll_into_view_if_needed()
+			return element_handle
+		except Exception as e:
+			logger.error(f"❌  Failed to locate element by text '{text}': {str(e)}")
+			return None
+
+	@time_execution_async('--input_text_element_node')
+	async def _input_text_element_node(self, element_node: DOMElementNode, text: str):
+		"""
+		Input text into an element with proper error handling and state management.
+		Handles different types of input fields and ensures proper element state before input.
+		"""
+		try:
+			# Highlight before typing
+			# if element_node.highlight_index is not None:
+			# 	await self._update_state(focus_element=element_node.highlight_index)
+
+			element_handle = await self.get_locate_element(element_node)
+
+			if element_handle is None:
+				raise BrowserError(f'Element: {repr(element_node)} not found')
+
+			# Ensure element is ready for input
+			try:
+				await element_handle.wait_for_element_state('stable', timeout=1000)
+				is_visible = await self._is_visible(element_handle)
+				if is_visible:
+					await element_handle.scroll_into_view_if_needed(timeout=1000)
+			except Exception:
+				pass
+
+			# Get element properties to determine input method
+			tag_handle = await element_handle.get_property('tagName')
+			tag_name = (await tag_handle.json_value()).lower()
+			is_contenteditable = await element_handle.get_property('isContentEditable')
+			readonly_handle = await element_handle.get_property('readOnly')
+			disabled_handle = await element_handle.get_property('disabled')
+
+			readonly = await readonly_handle.json_value() if readonly_handle else False
+			disabled = await disabled_handle.json_value() if disabled_handle else False
+
+			# always click the element first to make sure it's in the focus
+			await element_handle.click()
+			await asyncio.sleep(0.1)
+
+			try:
+				if (await is_contenteditable.json_value() or tag_name == 'input') and not (readonly or disabled):
+					await element_handle.evaluate('el => {el.textContent = ""; el.value = "";}')
+					await element_handle.type(text, delay=5)
+				else:
+					await element_handle.fill(text)
+			except Exception:
+				# last resort fallback, assume it's already focused after we clicked on it,
+				# just simulate keypresses on the entire page
+				await self.get_agent_current_page().keyboard.type(text)
+
+		except Exception as e:
+			logger.debug(f'❌  Failed to input text into element: {repr(element_node)}. Error: {str(e)}')
+			raise BrowserError(f'Failed to input text into index {element_node.highlight_index}')
+
+	@time_execution_async('--click_element_node')
+	async def _click_element_node(self, element_node: DOMElementNode) -> str | None:
+		"""
+		Optimized method to click an element using xpath.
+		"""
+		page = await self.get_agent_current_page()
+
+		try:
+			# Highlight before clicking
+			# if element_node.highlight_index is not None:
+			# 	await self._update_state(focus_element=element_node.highlight_index)
+
+			element_handle = await self.get_locate_element(element_node)
+
+			if element_handle is None:
+				raise Exception(f'Element: {repr(element_node)} not found')
+
+			async def perform_click(click_func):
+				"""Performs the actual click, handling both download
+				and navigation scenarios."""
+				if self.config.save_downloads_path:
+					try:
+						# Try short-timeout expect_download to detect a file download has been been triggered
+						async with page.expect_download(timeout=5000) as download_info:
+							await click_func()
+						download = await download_info.value
+						# Determine file path
+						suggested_filename = download.suggested_filename
+						unique_filename = await self._get_unique_filename(self.config.save_downloads_path, suggested_filename)
+						download_path = os.path.join(self.config.save_downloads_path, unique_filename)
+						await download.save_as(download_path)
+						logger.debug(f'⬇️  Download triggered. Saved file to: {download_path}')
+						return download_path
+					except TimeoutError:
+						# If no download is triggered, treat as normal click
+						logger.debug('No download triggered within timeout. Checking navigation...')
+						await page.wait_for_load_state()
+						await self._check_and_handle_navigation(page)
+				else:
+					# Standard click logic if no download is expected
+					await click_func()
+					await page.wait_for_load_state()
+					await self._check_and_handle_navigation(page)
+
+			try:
+				return await perform_click(lambda: element_handle.click(timeout=1500))
+			except URLNotAllowedError as e:
+				raise e
+			except Exception:
+				try:
+					return await perform_click(lambda: page.evaluate('(el) => el.click()', element_handle))
+				except URLNotAllowedError as e:
+					raise e
+				except Exception as e:
+					raise Exception(f'Failed to click element: {str(e)}')
+
+		except URLNotAllowedError as e:
+			raise e
+		except Exception as e:
+			raise Exception(f'Failed to click element: {repr(element_node)}. Error: {str(e)}')
+
+	@time_execution_async('--get_tabs_info')
+	async def get_tabs_info(self) -> list[TabInfo]:
+		"""Get information about all tabs"""
+		session = await self.get_session()
+
+		tabs_info = []
+		for page_id, page in enumerate(session.context.pages):
+			try:
+				tab_info = TabInfo(page_id=page_id, url=page.url, title=await asyncio.wait_for(page.title(), timeout=1))
+			except TimeoutError:
+				# page.title() can hang forever on tabs that are crashed/disappeared/about:blank
+				# we dont want to try automating those tabs because they will hang the whole script
+				logger.debug('⚠  Failed to get tab info for tab #%s: %s (ignoring)', page_id, page.url)
+				tab_info = TabInfo(page_id=page_id, url='about:blank', title='ignore this tab and do not use it')
+			tabs_info.append(tab_info)
+
+		return tabs_info
+
+	@time_execution_async('--switch_to_tab')
+	async def switch_to_tab(self, page_id: int) -> None:
+		"""Switch to a specific tab by its page_id"""
+		session = await self.get_session()
+		pages = session.context.pages
+
+		if page_id >= len(pages):
+			raise BrowserError(f'No tab found with page_id: {page_id}')
+
+		page = pages[page_id]
+
+		# Check if the tab's URL is allowed before switching
+		if not self._is_url_allowed(page.url):
+			raise BrowserError(f'Cannot switch to tab with non-allowed URL: {page.url}')
+
+		# Update target ID if using CDP
+		if self.browser.config.cdp_url:
+			targets = await self._get_cdp_targets()
+			for target in targets:
+				if target['url'] == page.url:
+					self.state.target_id = target['targetId']
+					break
+
+		# Update both tab references - agent wants this tab, and it's now in the foreground
+		self.agent_current_page = page
+		self.human_current_page = page
+
+		# Bring tab to front and wait for it to load
+		await page.bring_to_front()
+		await page.wait_for_load_state()
+
+		# Set the viewport size for the tab
+		await self.set_viewport_size(page)
+
+	@time_execution_async('--create_new_tab')
+	async def create_new_tab(self, url: str | None = None) -> None:
+		"""Create a new tab and optionally navigate to a URL"""
+		if url and not self._is_url_allowed(url):
+			raise BrowserError(f'Cannot create new tab with non-allowed URL: {url}')
+
+		session = await self.get_session()
+		new_page = await session.context.new_page()
+
+		# Update both tab references - agent wants this tab, and it's now in the foreground
+		self.agent_current_page = new_page
+		self.human_current_page = new_page
+
+		await new_page.wait_for_load_state()
+
+		# Set the viewport size for the new tab
+		await self.set_viewport_size(new_page)
+
+		if url:
+			await new_page.goto(url)
+			await self._wait_for_page_and_frames_load(timeout_overwrite=1)
+
+		# Get target ID for new page if using CDP
+		if self.browser.config.cdp_url:
+			targets = await self._get_cdp_targets()
+			for target in targets:
+				if target['url'] == new_page.url:
+					self.state.target_id = target['targetId']
+					break
+
+	# region - Helper methods for easier access to the DOM
+
+	async def get_selector_map(self) -> SelectorMap:
+		session = await self.get_session()
+		if session.cached_state is None:
+			return {}
+		return session.cached_state.selector_map
+
+	async def get_element_by_index(self, index: int) -> ElementHandle | None:
+		selector_map = await self.get_selector_map()
+		element_handle = await self.get_locate_element(selector_map[index])
+		return element_handle
+
+	async def get_dom_element_by_index(self, index: int) -> DOMElementNode:
+		selector_map = await self.get_selector_map()
+		return selector_map[index]
+
+	async def save_cookies(self):
+		"""Save current cookies to file"""
+		if self.session and self.session.context and self.config.cookies_file:
+			try:
+				cookies = await self.session.context.cookies()
+				logger.debug(f'🍪  Saving {len(cookies)} cookies to {self.config.cookies_file}')
+
+				# Check if the path is a directory and create it if necessary
+				dirname = os.path.dirname(self.config.cookies_file)
+				if dirname:
+					os.makedirs(dirname, exist_ok=True)
+
+				async with await anyio.open_file(self.config.cookies_file, 'w') as f:
+					await f.write(json.dumps(cookies))
+			except Exception as e:
+				logger.warning(f'❌  Failed to save cookies: {str(e)}')
+
+	async def is_file_uploader(self, element_node: DOMElementNode, max_depth: int = 3, current_depth: int = 0) -> bool:
+		"""Check if element or its children are file uploaders"""
+		if current_depth > max_depth:
+			return False
+
+		# Check current element
+		is_uploader = False
+
+		if not isinstance(element_node, DOMElementNode):
+			return False
+
+		# Check for file input attributes
+		if element_node.tag_name == 'input':
+			is_uploader = element_node.attributes.get('type') == 'file' or element_node.attributes.get('accept') is not None
+
+		if is_uploader:
+			return True
+
+		# Recursively check children
+		if element_node.children and current_depth < max_depth:
+			for child in element_node.children:
+				if isinstance(child, DOMElementNode):
+					if await self.is_file_uploader(child, max_depth, current_depth + 1):
+						return True
+
+		return False
+
+	async def get_scroll_info(self, page: Page) -> tuple[int, int]:
+		"""Get scroll position information for the current page."""
+		scroll_y = await page.evaluate('window.scrollY')
+		viewport_height = await page.evaluate('window.innerHeight')
+		total_height = await page.evaluate('document.documentElement.scrollHeight')
+		pixels_above = scroll_y
+		pixels_below = total_height - (scroll_y + viewport_height)
+		return pixels_above, pixels_below
+
+	async def reset_context(self):
+		"""Reset the browser session
+		Call this when you don't want to kill the context but just kill the state
+		"""
+		# close all tabs and clear cached state
+		session = await self.get_session()
+
+		pages = session.context.pages
+		for page in pages:
+			await page.close()
+
+		session.cached_state = None
+		self.state.target_id = None
+
+	async def _get_unique_filename(self, directory, filename):
+		"""Generate a unique filename by appending (1), (2), etc., if a file already exists."""
+		base, ext = os.path.splitext(filename)
+		counter = 1
+		new_filename = filename
+		while os.path.exists(os.path.join(directory, new_filename)):
+			new_filename = f'{base} ({counter}){ext}'
+			counter += 1
+		return new_filename
+
+	async def _get_cdp_targets(self) -> list[dict]:
+		"""Get all CDP targets directly using CDP protocol"""
+		if not self.browser.config.cdp_url or not self.session:
+			return []
+
+		try:
+			pages = self.session.context.pages
+			if not pages:
+				return []
+
+			cdp_session = await pages[0].context.new_cdp_session(pages[0])
+			result = await cdp_session.send('Target.getTargets')
+			await cdp_session.detach()
+			return result.get('targetInfos', [])
+		except Exception as e:
+			logger.debug(f'Failed to get CDP targets: {e}')
+			return []
+
+	async def _resize_window(self, context: PlaywrightBrowserContext) -> None:
+		"""Resize the browser window to match the configured size"""
+		try:
+			if not context.pages:
+				return
+
+			page = context.pages[0]
+			window_size = {'width': self.config.window_width, 'height': self.config.window_height}
+
+			# First, set the viewport size
+			await self.set_viewport_size(page)
+
+			# Then, try to set the actual window size using CDP
+			try:
+				cdp_session = await context.new_cdp_session(page)
+
+				# Get the window ID
+				window_id_result = await cdp_session.send('Browser.getWindowForTarget')
+
+				# Set the window bounds
+				await cdp_session.send(
+					'Browser.setWindowBounds',
+					{
+						'windowId': window_id_result['windowId'],
+						'bounds': {
+							'width': window_size['width'],
+							'height': window_size['height'] + BROWSER_NAVBAR_HEIGHT,  # Add height for browser chrome
+							'windowState': 'normal',  # Ensure window is not minimized/maximized
+						},
+					},
+				)
+
+				await cdp_session.detach()
+				logger.debug(f'Set window size to {window_size["width"]}x{window_size["height"] + BROWSER_NAVBAR_HEIGHT}')
+			except Exception as e:
+				logger.debug(f'CDP window resize failed: {e}')
+
+				# Fallback to using JavaScript
+				try:
+					await page.evaluate(
+						"""
+						(width, height) => {
+							window.resizeTo(width, height);
+						}
+						""",
+						window_size['width'],
+						window_size['height'] + BROWSER_NAVBAR_HEIGHT,
+					)
+					logger.debug(
+						f'Used JavaScript to set window size to {window_size["width"]}x{window_size["height"] + BROWSER_NAVBAR_HEIGHT}'
+					)
+				except Exception as e:
+					logger.debug(f'JavaScript window resize failed: {e}')
+
+			logger.debug(f'Attempted to resize window to {window_size["width"]}x{window_size["height"]}')
+		except Exception as e:
+			logger.debug(f'Failed to resize browser window: {e}')
+			# Non-critical error, continue execution
+
+	async def wait_for_element(self, selector: str, timeout: float) -> None:
+		"""
+		Waits for an element matching the given CSS selector to become visible.
+
+		Args:
+		    selector (str): The CSS selector of the element.
+		    timeout (float): The maximum time to wait for the element to be visible (in milliseconds).
+
+		Raises:
+		    TimeoutError: If the element does not become visible within the specified timeout.
+		"""
+		page = await self.get_agent_current_page()
+		await page.wait_for_selector(selector, state='visible', timeout=timeout)
diff --git a/src/browser_use/browser/dolphin_service.py b/src/browser_use/browser/dolphin_service.py
new file mode 100644
index 00000000..b90585c4
--- /dev/null
+++ b/src/browser_use/browser/dolphin_service.py
@@ -0,0 +1,348 @@
+import logging
+import os
+
+import aiohttp
+from playwright.async_api import Page, async_playwright
+
+from browser_use.browser.service import Browser
+from browser_use.browser.views import BrowserState, TabInfo
+
+logger = logging.getLogger(__name__)
+
+
+class DolphinBrowser(Browser):
+	"""A class for managing Dolphin Anty browser sessions using Playwright"""
+
+	def __init__(self, headless: bool = False, keep_open: bool = False):
+		"""
+		Initialize the DolphinBrowser instance.
+
+		Args:
+		    headless (bool): Run browser in headless mode (default: False).
+		    keep_open (bool): Keep browser open after finishing tasks (default: False).
+		"""
+		# Retrieve environment variables for API connection
+		self.api_token = os.getenv('DOLPHIN_API_TOKEN')
+		self.api_url = os.getenv('DOLPHIN_API_URL', 'http://localhost:3001/v1.0')
+		self.profile_id = os.getenv('DOLPHIN_PROFILE_ID')
+
+		# Initialize internal attributes
+		self.playwright = None
+		self.browser = None
+		self.context = None
+		self.page = None
+		self.headless = headless
+		self.keep_open = keep_open
+		self._pages: list[Page] = []  # List to store open pages
+		self.session = None
+		self.cached_state = None
+
+	async def get_current_page(self) -> Page:
+		"""
+		Get the currently active page.
+
+		Raises:
+		    Exception: If no active page is available.
+		"""
+		if not self.page:
+			raise Exception('No active page. Browser might not be connected.')
+		return self.page
+
+	async def create_new_tab(self, url: str | None = None) -> None:
+		"""
+		Create a new tab and optionally navigate to a given URL.
+
+		Args:
+		    url (str, optional): URL to navigate to after creating the tab. Defaults to None.
+
+		Raises:
+		    Exception: If browser context is not initialized or navigation fails.
+		"""
+		if not self.context:
+			raise Exception('Browser context not initialized')
+
+		# Create new page (tab) in the current browser context
+		new_page = await self.context.new_page()
+		self._pages.append(new_page)
+		self.page = new_page  # Set as current page
+
+		if url:
+			try:
+				# Navigate to the URL and wait for the page to load
+				await new_page.goto(url, wait_until='networkidle')
+				await self.wait_for_page_load()
+			except Exception as e:
+				logger.error(f'Failed to navigate to URL {url}: {str(e)}')
+				raise
+
+	async def switch_to_tab(self, page_id: int) -> None:
+		"""
+		Switch to a specific tab by its page ID.
+
+		Args:
+		    page_id (int): The index of the tab to switch to.
+
+		Raises:
+		    Exception: If the tab index is out of range or no tabs are available.
+		"""
+		if not self._pages:
+			raise Exception('No tabs available')
+
+		# Handle negative indices (e.g., -1 for last tab)
+		if page_id < 0:
+			page_id = len(self._pages) + page_id
+
+		if page_id >= len(self._pages) or page_id < 0:
+			raise Exception(f'Tab index {page_id} out of range')
+
+		# Set the current page to the selected tab
+		self.page = self._pages[page_id]
+		await self.page.bring_to_front()  # Bring tab to the front
+		await self.wait_for_page_load()
+
+	async def get_tabs_info(self) -> list[TabInfo]:
+		"""
+		Get information about all open tabs.
+
+		Returns:
+		    list: A list of TabInfo objects containing details about each tab.
+		"""
+		tabs_info = []
+		for idx, page in enumerate(self._pages):
+			tab_info = TabInfo(
+				page_id=idx,
+				url=page.url,
+				title=await page.title(),  # Fetch the title of the page
+			)
+			tabs_info.append(tab_info)
+		return tabs_info
+
+	async def wait_for_page_load(self, timeout: int = 30000):
+		"""
+		Wait for the page to load completely.
+
+		Args:
+		    timeout (int): Maximum time to wait for page load in milliseconds (default: 30000ms).
+
+		Raises:
+		    Exception: If the page fails to load within the specified timeout.
+		"""
+		if self.page:
+			try:
+				await self.page.wait_for_load_state('networkidle', timeout=timeout)
+			except Exception as e:
+				logger.warning(f'Wait for page load timeout: {str(e)}')
+
+	async def get_session(self):
+		"""
+		Get the current session.
+
+		Returns:
+		    DolphinBrowser: The current DolphinBrowser instance.
+
+		Raises:
+		    Exception: If the browser is not connected.
+		"""
+		if not self.browser:
+			raise Exception('Browser not connected. Call connect() first.')
+		self.session = self
+		return self
+
+	async def authenticate(self):
+		"""
+		Authenticate with Dolphin Anty API using the API token.
+
+		Raises:
+		    Exception: If authentication fails.
+		"""
+		async with aiohttp.ClientSession() as session:
+			auth_url = f'{self.api_url}/auth/login-with-token'
+			auth_data = {'token': self.api_token}
+			async with session.post(auth_url, json=auth_data) as response:
+				if not response.ok:
+					raise Exception(f'Failed to authenticate with Dolphin Anty: {await response.text()}')
+				return await response.json()
+
+	async def get_browser_profiles(self):
+		"""
+		Get a list of available browser profiles from Dolphin Anty.
+
+		Returns:
+		    list: A list of browser profiles.
+
+		Raises:
+		    Exception: If fetching the browser profiles fails.
+		"""
+		# Authenticate before fetching profiles
+		await self.authenticate()
+
+		async with aiohttp.ClientSession() as session:
+			headers = {'Authorization': f'Bearer {self.api_token}'}
+			async with session.get(f'{self.api_url}/browser_profiles', headers=headers) as response:
+				if not response.ok:
+					raise Exception(f'Failed to get browser profiles: {await response.text()}')
+				data = await response.json()
+				return data.get('data', [])  # Return the profiles array from the response
+
+	async def start_profile(self, profile_id: str | None = None, headless: bool = False) -> dict:
+		"""
+		Start a browser profile on Dolphin Anty.
+
+		Args:
+		    profile_id (str, optional): Profile ID to start (defaults to the one set in the environment).
+		    headless (bool): Run browser in headless mode (default: False).
+
+		Returns:
+		    dict: Information about the started profile.
+
+		Raises:
+		    ValueError: If no profile ID is provided and no default is set.
+		    Exception: If starting the profile fails.
+		"""
+		# Authenticate before starting the profile
+		await self.authenticate()
+
+		profile_id = profile_id or self.profile_id
+		if not profile_id:
+			raise ValueError('No profile ID provided')
+
+		url = f'{self.api_url}/browser_profiles/{profile_id}/start'
+		params = {'automation': 1}
+		if headless:
+			params['headless'] = 1
+
+		async with aiohttp.ClientSession() as session:
+			async with session.get(url, params=params) as response:
+				if not response.ok:
+					raise Exception(f'Failed to start profile: {await response.text()}')
+				return await response.json()
+
+	async def stop_profile(self, profile_id: str | None = None):
+		"""
+		Stop a browser profile on Dolphin Anty.
+
+		Args:
+		    profile_id (str, optional): Profile ID to stop (defaults to the one set in the environment).
+
+		Returns:
+		    dict: Information about the stopped profile.
+
+		Raises:
+		    ValueError: If no profile ID is provided and no default is set.
+		"""
+		# Authenticate before stopping the profile
+		await self.authenticate()
+
+		profile_id = profile_id or self.profile_id
+		if not profile_id:
+			raise ValueError('No profile ID provided')
+
+		url = f'{self.api_url}/browser_profiles/{profile_id}/stop'
+		async with aiohttp.ClientSession() as session:
+			async with session.get(url) as response:
+				return await response.json()
+
+	async def connect(self, profile_id: str | None = None):
+		"""
+		Connect to a running browser profile using Playwright.
+
+		Args:
+		    profile_id (str, optional): Profile ID to connect to (defaults to the one set in the environment).
+
+		Returns:
+		    PlaywrightBrowser: The connected browser instance.
+
+		Raises:
+		    Exception: If authentication or profile connection fails.
+		"""
+		# Authenticate before connecting to the profile
+		await self.authenticate()
+
+		# Start the browser profile
+		profile_data = await self.start_profile(profile_id)
+
+		if not profile_data.get('success'):
+			raise Exception(f'Failed to start profile: {profile_data}')
+
+		automation = profile_data['automation']
+		port = automation['port']
+		ws_endpoint = automation['wsEndpoint']
+		ws_url = f'ws://127.0.0.1:{port}{ws_endpoint}'
+
+		# Use Playwright to connect to the browser's WebSocket endpoint
+		self.playwright = await async_playwright().start()
+		self.browser = await self.playwright.chromium.connect_over_cdp(ws_url)
+
+		# Get or create a browser context and page
+		contexts = self.browser.contexts
+		self.context = contexts[0] if contexts else await self.browser.new_context()
+		pages = self.context.pages
+		self.page = pages[0] if pages else await self.context.new_page()
+
+		self._pages = [self.page]  # Initialize pages list with the first page
+
+		return self.browser
+
+	async def close(self, force: bool = False):
+		"""
+		Close the browser connection and clean up resources.
+
+		Args:
+		    force (bool): If True, forcefully stop the associated profile (default: False).
+		"""
+		try:
+			# Close all open pages
+			if self._pages:
+				for page in self._pages:
+					try:
+						await page.close()
+					except BaseException:
+						pass
+				self._pages = []
+
+			# Close the browser and Playwright instance
+			if self.browser:
+				await self.browser.close()
+
+			if self.playwright:
+				await self.playwright.stop()
+
+			if force:
+				await self.stop_profile()  # Force stop the profile
+		except Exception as e:
+			logger.error(f'Error during browser cleanup: {str(e)}')
+
+	async def get_current_state(self) -> BrowserState:
+		"""
+		Get the current state of the browser (URL, content, viewport size, tabs).
+
+		Returns:
+		    BrowserState: The current state of the browser.
+
+		Raises:
+		    Exception: If no active page is available.
+		"""
+		if not self.page:
+			raise Exception('No active page')
+
+		# Get page content and viewport size
+		content = await self.page.content()
+		viewport_size = await self.page.viewport_size()
+
+		# Create and return the current browser state
+		state = BrowserState(
+			url=self.page.url,
+			content=content,
+			viewport_height=viewport_size['height'] if viewport_size else 0,
+			viewport_width=viewport_size['width'] if viewport_size else 0,
+			tabs=await self.get_tabs_info(),
+		)
+
+		# Cache and return the state
+		self.cached_state = state
+		return state
+
+	def __del__(self):
+		"""Clean up resources when the DolphinBrowser instance is deleted."""
+		# No need to handle session cleanup as we're using self as session
+		pass
diff --git a/src/browser_use/browser/utils/screen_resolution.py b/src/browser_use/browser/utils/screen_resolution.py
new file mode 100644
index 00000000..26079708
--- /dev/null
+++ b/src/browser_use/browser/utils/screen_resolution.py
@@ -0,0 +1,41 @@
+import sys
+
+
+def get_screen_resolution():
+	if sys.platform == 'darwin':  # macOS
+		try:
+			from AppKit import NSScreen
+
+			screen = NSScreen.mainScreen().frame()
+			return {'width': int(screen.size.width), 'height': int(screen.size.height)}
+		except ImportError:
+			print('AppKit is not available. Make sure you are running this on macOS with pyobjc installed.')
+		except Exception as e:
+			print(f'Error retrieving macOS screen resolution: {e}')
+		return {'width': 2560, 'height': 1664}
+
+	else:  # Windows & Linux
+		try:
+			from screeninfo import get_monitors
+
+			monitors = get_monitors()
+			if not monitors:
+				raise Exception('No monitors detected.')
+			monitor = monitors[0]
+			return {'width': monitor.width, 'height': monitor.height}
+		except ImportError:
+			print("screeninfo package not found. Install it using 'pip install screeninfo'.")
+		except Exception as e:
+			print(f'Error retrieving screen resolution: {e}')
+
+		return {'width': 1920, 'height': 1080}
+
+
+def get_window_adjustments():
+	"""Returns recommended x, y offsets for window positioning"""
+	if sys.platform == 'darwin':  # macOS
+		return -4, 24  # macOS has a small title bar, no border
+	elif sys.platform == 'win32':  # Windows
+		return -8, 0  # Windows has a border on the left
+	else:  # Linux
+		return 0, 0
diff --git a/src/browser_use/browser/views.py b/src/browser_use/browser/views.py
new file mode 100644
index 00000000..c5468c20
--- /dev/null
+++ b/src/browser_use/browser/views.py
@@ -0,0 +1,54 @@
+from dataclasses import dataclass, field
+from typing import Any
+
+from pydantic import BaseModel
+
+from browser_use.dom.history_tree_processor.service import DOMHistoryElement
+from browser_use.dom.views import DOMState
+
+
+# Pydantic
+class TabInfo(BaseModel):
+	"""Represents information about a browser tab"""
+
+	page_id: int
+	url: str
+	title: str
+	parent_page_id: int | None = None  # parent page that contains this popup or cross-origin iframe
+
+
+@dataclass
+class BrowserState(DOMState):
+	url: str
+	title: str
+	tabs: list[TabInfo]
+	screenshot: str | None = None
+	pixels_above: int = 0
+	pixels_below: int = 0
+	browser_errors: list[str] = field(default_factory=list)
+
+
+@dataclass
+class BrowserStateHistory:
+	url: str
+	title: str
+	tabs: list[TabInfo]
+	interacted_element: list[DOMHistoryElement | None] | list[None]
+	screenshot: str | None = None
+
+	def to_dict(self) -> dict[str, Any]:
+		data = {}
+		data['tabs'] = [tab.model_dump() for tab in self.tabs]
+		data['screenshot'] = self.screenshot
+		data['interacted_element'] = [el.to_dict() if el else None for el in self.interacted_element]
+		data['url'] = self.url
+		data['title'] = self.title
+		return data
+
+
+class BrowserError(Exception):
+	"""Base class for all browser errors"""
+
+
+class URLNotAllowedError(BrowserError):
+	"""Error raised when a URL is not allowed"""
diff --git a/src/browser_use/controller/registry/service.py b/src/browser_use/controller/registry/service.py
new file mode 100644
index 00000000..5f86642f
--- /dev/null
+++ b/src/browser_use/controller/registry/service.py
@@ -0,0 +1,246 @@
+import asyncio
+from collections.abc import Callable
+from inspect import iscoroutinefunction, signature
+from typing import Any, Generic, Optional, TypeVar
+
+from langchain_core.language_models.chat_models import BaseChatModel
+from pydantic import BaseModel, Field, create_model
+
+from browser_use.browser.context import BrowserContext
+from browser_use.controller.registry.views import (
+	ActionModel,
+	ActionRegistry,
+	RegisteredAction,
+)
+from browser_use.telemetry.service import ProductTelemetry
+from browser_use.telemetry.views import (
+	ControllerRegisteredFunctionsTelemetryEvent,
+	RegisteredFunction,
+)
+from browser_use.utils import time_execution_async
+
+Context = TypeVar('Context')
+
+
+class Registry(Generic[Context]):
+	"""Service for registering and managing actions"""
+
+	def __init__(self, exclude_actions: list[str] | None = None):
+		self.registry = ActionRegistry()
+		self.telemetry = ProductTelemetry()
+		self.exclude_actions = exclude_actions if exclude_actions is not None else []
+
+	# @time_execution_sync('--create_param_model')
+	def _create_param_model(self, function: Callable) -> type[BaseModel]:
+		"""Creates a Pydantic model from function signature"""
+		sig = signature(function)
+		params = {
+			name: (param.annotation, ... if param.default == param.empty else param.default)
+			for name, param in sig.parameters.items()
+			if name != 'browser' and name != 'page_extraction_llm' and name != 'available_file_paths'
+		}
+		# TODO: make the types here work
+		return create_model(
+			f'{function.__name__}_parameters',
+			__base__=ActionModel,
+			**params,  # type: ignore
+		)
+
+	def action(
+		self,
+		description: str,
+		param_model: type[BaseModel] | None = None,
+		domains: list[str] | None = None,
+		page_filter: Callable[[Any], bool] | None = None,
+	):
+		"""Decorator for registering actions"""
+
+		def decorator(func: Callable):
+			# Skip registration if action is in exclude_actions
+			if func.__name__ in self.exclude_actions:
+				return func
+
+			# Create param model from function if not provided
+			actual_param_model = param_model or self._create_param_model(func)
+
+			# Wrap sync functions to make them async
+			if not iscoroutinefunction(func):
+
+				async def async_wrapper(*args, **kwargs):
+					return await asyncio.to_thread(func, *args, **kwargs)
+
+				# Copy the signature and other metadata from the original function
+				async_wrapper.__signature__ = signature(func)
+				async_wrapper.__name__ = func.__name__
+				async_wrapper.__annotations__ = func.__annotations__
+				wrapped_func = async_wrapper
+			else:
+				wrapped_func = func
+
+			action = RegisteredAction(
+				name=func.__name__,
+				description=description,
+				function=wrapped_func,
+				param_model=actual_param_model,
+				domains=domains,
+				page_filter=page_filter,
+			)
+			self.registry.actions[func.__name__] = action
+			return func
+
+		return decorator
+
+	@time_execution_async('--execute_action')
+	async def execute_action(
+		self,
+		action_name: str,
+		params: dict,
+		browser: BrowserContext | None = None,
+		page_extraction_llm: BaseChatModel | None = None,
+		sensitive_data: dict[str, str] | None = None,
+		available_file_paths: list[str] | None = None,
+		#
+		context: Context | None = None,
+	) -> Any:
+		"""Execute a registered action"""
+		if action_name not in self.registry.actions:
+			raise ValueError(f'Action {action_name} not found')
+
+		action = self.registry.actions[action_name]
+		try:
+			# Create the validated Pydantic model
+			validated_params = action.param_model(**params)
+
+			# Check if the first parameter is a Pydantic model
+			sig = signature(action.function)
+			parameters = list(sig.parameters.values())
+			is_pydantic = parameters and issubclass(parameters[0].annotation, BaseModel)
+			parameter_names = [param.name for param in parameters]
+
+			if sensitive_data:
+				validated_params = self._replace_sensitive_data(validated_params, sensitive_data)
+
+			# Check if the action requires browser
+			if 'browser' in parameter_names and not browser:
+				raise ValueError(f'Action {action_name} requires browser but none provided.')
+			if 'page_extraction_llm' in parameter_names and not page_extraction_llm:
+				raise ValueError(f'Action {action_name} requires page_extraction_llm but none provided.')
+			if 'available_file_paths' in parameter_names and not available_file_paths:
+				raise ValueError(f'Action {action_name} requires available_file_paths but none provided.')
+
+			if 'context' in parameter_names and not context:
+				raise ValueError(f'Action {action_name} requires context but none provided.')
+
+			# Prepare arguments based on parameter type
+			extra_args = {}
+			if 'context' in parameter_names:
+				extra_args['context'] = context
+			if 'browser' in parameter_names:
+				extra_args['browser'] = browser
+			if 'page_extraction_llm' in parameter_names:
+				extra_args['page_extraction_llm'] = page_extraction_llm
+			if 'available_file_paths' in parameter_names:
+				extra_args['available_file_paths'] = available_file_paths
+			if action_name == 'input_text' and sensitive_data:
+				extra_args['has_sensitive_data'] = True
+			if is_pydantic:
+				return await action.function(validated_params, **extra_args)
+			return await action.function(**validated_params.model_dump(), **extra_args)
+
+		except Exception as e:
+			raise RuntimeError(f'Error executing action {action_name}: {str(e)}') from e
+
+	def _replace_sensitive_data(self, params: BaseModel, sensitive_data: dict[str, str]) -> BaseModel:
+		"""Replaces the sensitive data in the params"""
+		# if there are any str with <secret>placeholder</secret> in the params, replace them with the actual value from sensitive_data
+
+		import logging
+		import re
+
+		logger = logging.getLogger(__name__)
+		secret_pattern = re.compile(r'<secret>(.*?)</secret>')
+
+		# Set to track all missing placeholders across the full object
+		all_missing_placeholders = set()
+
+		def replace_secrets(value):
+			if isinstance(value, str):
+				matches = secret_pattern.findall(value)
+
+				for placeholder in matches:
+					if placeholder in sensitive_data and sensitive_data[placeholder]:
+						value = value.replace(f'<secret>{placeholder}</secret>', sensitive_data[placeholder])
+					else:
+						# Keep track of missing placeholders
+						all_missing_placeholders.add(placeholder)
+						# Don't replace the tag, keep it as is
+
+				return value
+			elif isinstance(value, dict):
+				return {k: replace_secrets(v) for k, v in value.items()}
+			elif isinstance(value, list):
+				return [replace_secrets(v) for v in value]
+			return value
+
+		params_dump = params.model_dump()
+		processed_params = replace_secrets(params_dump)
+
+		# Log a warning if any placeholders are missing
+		if all_missing_placeholders:
+			logger.warning(f'Missing or empty keys in sensitive_data dictionary: {", ".join(all_missing_placeholders)}')
+
+		return type(params).model_validate(processed_params)
+
+	# @time_execution_sync('--create_action_model')
+	def create_action_model(self, include_actions: list[str] | None = None, page=None) -> type[ActionModel]:
+		"""Creates a Pydantic model from registered actions, used by LLM APIs that support tool calling & enforce a schema"""
+
+		# Filter actions based on page if provided:
+		#   if page is None, only include actions with no filters
+		#   if page is provided, only include actions that match the page
+
+		available_actions = {}
+		for name, action in self.registry.actions.items():
+			if include_actions is not None and name not in include_actions:
+				continue
+
+			# If no page provided, only include actions with no filters
+			if page is None:
+				if action.page_filter is None and action.domains is None:
+					available_actions[name] = action
+				continue
+
+			# Check page_filter if present
+			domain_is_allowed = self.registry._match_domains(action.domains, page.url)
+			page_is_allowed = self.registry._match_page_filter(action.page_filter, page)
+
+			# Include action if both filters match (or if either is not present)
+			if domain_is_allowed and page_is_allowed:
+				available_actions[name] = action
+
+		fields = {
+			name: (
+				Optional[action.param_model],
+				Field(default=None, description=action.description),
+			)
+			for name, action in available_actions.items()
+		}
+
+		self.telemetry.capture(
+			ControllerRegisteredFunctionsTelemetryEvent(
+				registered_functions=[
+					RegisteredFunction(name=name, params=action.param_model.model_json_schema())
+					for name, action in available_actions.items()
+				]
+			)
+		)
+
+		return create_model('ActionModel', __base__=ActionModel, **fields)  # type:ignore
+
+	def get_prompt_description(self, page=None) -> str:
+		"""Get a description of all actions for the prompt
+
+		If page is provided, only include actions that are available for that page
+		based on their filter_func
+		"""
+		return self.registry.get_prompt_description(page=page)
diff --git a/src/browser_use/controller/registry/views.py b/src/browser_use/controller/registry/views.py
new file mode 100644
index 00000000..8f41cb94
--- /dev/null
+++ b/src/browser_use/controller/registry/views.py
@@ -0,0 +1,149 @@
+from collections.abc import Callable
+
+from playwright.async_api import Page
+from pydantic import BaseModel, ConfigDict
+
+
+class RegisteredAction(BaseModel):
+	"""Model for a registered action"""
+
+	name: str
+	description: str
+	function: Callable
+	param_model: type[BaseModel]
+
+	# filters: provide specific domains or a function to determine whether the action should be available on the given page or not
+	domains: list[str] | None = None  # e.g. ['*.google.com', 'www.bing.com', 'yahoo.*]
+	page_filter: Callable[[Page], bool] | None = None
+
+	model_config = ConfigDict(arbitrary_types_allowed=True)
+
+	def prompt_description(self) -> str:
+		"""Get a description of the action for the prompt"""
+		skip_keys = ['title']
+		s = f'{self.description}: \n'
+		s += '{' + str(self.name) + ': '
+		s += str(
+			{
+				k: {sub_k: sub_v for sub_k, sub_v in v.items() if sub_k not in skip_keys}
+				for k, v in self.param_model.model_json_schema()['properties'].items()
+			}
+		)
+		s += '}'
+		return s
+
+
+class ActionModel(BaseModel):
+	"""Base model for dynamically created action models"""
+
+	# this will have all the registered actions, e.g.
+	# click_element = param_model = ClickElementParams
+	# done = param_model = None
+	#
+	model_config = ConfigDict(arbitrary_types_allowed=True)
+
+	def get_index(self) -> int | None:
+		"""Get the index of the action"""
+		# {'clicked_element': {'index':5}}
+		params = self.model_dump(exclude_unset=True).values()
+		if not params:
+			return None
+		for param in params:
+			if param is not None and 'index' in param:
+				return param['index']
+		return None
+
+	def set_index(self, index: int):
+		"""Overwrite the index of the action"""
+		# Get the action name and params
+		action_data = self.model_dump(exclude_unset=True)
+		action_name = next(iter(action_data.keys()))
+		action_params = getattr(self, action_name)
+
+		# Update the index directly on the model
+		if hasattr(action_params, 'index'):
+			action_params.index = index
+
+
+class ActionRegistry(BaseModel):
+	"""Model representing the action registry"""
+
+	actions: dict[str, RegisteredAction] = {}
+
+	@staticmethod
+	def _match_domains(domains: list[str] | None, url: str) -> bool:
+		"""
+		Match a list of domain glob patterns against a URL.
+
+		Args:
+			domain_patterns: A list of domain patterns that can include glob patterns (* wildcard)
+			url: The URL to match against
+
+		Returns:
+			True if the URL's domain matches the pattern, False otherwise
+		"""
+
+		if domains is None or not url:
+			return True
+
+		import fnmatch
+		from urllib.parse import urlparse
+
+		# Parse the URL to get the domain
+		try:
+			parsed_url = urlparse(url)
+			if not parsed_url.netloc:
+				return False
+
+			domain = parsed_url.netloc
+			# Remove port if present
+			if ':' in domain:
+				domain = domain.split(':')[0]
+
+			for domain_pattern in domains:
+				if fnmatch.fnmatch(domain, domain_pattern):  # Perform glob *.matching.*
+					return True
+			return False
+		except Exception:
+			return False
+
+	@staticmethod
+	def _match_page_filter(page_filter: Callable[[Page], bool] | None, page: Page) -> bool:
+		"""Match a page filter against a page"""
+		if page_filter is None:
+			return True
+		return page_filter(page)
+
+	def get_prompt_description(self, page: Page | None = None) -> str:
+		"""Get a description of all actions for the prompt
+
+		Args:
+			page: If provided, filter actions by page using page_filter and domains.
+
+		Returns:
+			A string description of available actions.
+			- If page is None: return only actions with no page_filter and no domains (for system prompt)
+			- If page is provided: return only filtered actions that match the current page (excluding unfiltered actions)
+		"""
+		if page is None:
+			# For system prompt (no page provided), include only actions with no filters
+			return '\n'.join(
+				action.prompt_description()
+				for action in self.actions.values()
+				if action.page_filter is None and action.domains is None
+			)
+
+		# only include filtered actions for the current page
+		filtered_actions = []
+		for action in self.actions.values():
+			if not (action.domains or action.page_filter):
+				# skip actions with no filters, they are already included in the system prompt
+				continue
+
+			domain_is_allowed = self._match_domains(action.domains, page.url)
+			page_is_allowed = self._match_page_filter(action.page_filter, page)
+
+			if domain_is_allowed and page_is_allowed:
+				filtered_actions.append(action)
+
+		return '\n'.join(action.prompt_description() for action in filtered_actions)
diff --git a/src/browser_use/controller/service.py b/src/browser_use/controller/service.py
new file mode 100644
index 00000000..fbfb9caf
--- /dev/null
+++ b/src/browser_use/controller/service.py
@@ -0,0 +1,874 @@
+import asyncio
+import enum
+import json
+import logging
+import re
+from typing import Generic, TypeVar, cast
+
+from langchain_core.language_models.chat_models import BaseChatModel
+from langchain_core.prompts import PromptTemplate
+from playwright.async_api import ElementHandle, Page
+
+# from lmnr.sdk.laminar import Laminar
+from pydantic import BaseModel
+
+from browser_use.agent.views import ActionModel, ActionResult
+from browser_use.browser.context import BrowserContext
+from browser_use.controller.registry.service import Registry
+from browser_use.controller.views import (
+	ClickElementAction,
+	CloseTabAction,
+	DoneAction,
+	DragDropAction,
+	GoToUrlAction,
+	InputTextAction,
+	NoParamsAction,
+	OpenTabAction,
+	Position,
+	ScrollAction,
+	SearchGoogleAction,
+	SendKeysAction,
+	SwitchTabAction,
+)
+from browser_use.utils import time_execution_sync
+
+logger = logging.getLogger(__name__)
+
+
+Context = TypeVar('Context')
+
+
+class Controller(Generic[Context]):
+	def __init__(
+		self,
+		exclude_actions: list[str] = [],
+		output_model: type[BaseModel] | None = None,
+	):
+		self.registry = Registry[Context](exclude_actions)
+
+		"""Register all default browser actions"""
+
+		if output_model is not None:
+			# Create a new model that extends the output model with success parameter
+			class ExtendedOutputModel(BaseModel):  # type: ignore
+				success: bool = True
+				data: output_model  # type: ignore
+
+			@self.registry.action(
+				'Complete task - with return text and if the task is finished (success=True) or not yet  completely finished (success=False), because last step is reached',
+				param_model=ExtendedOutputModel,
+			)
+			async def done(params: ExtendedOutputModel):
+				# Exclude success from the output JSON since it's an internal parameter
+				output_dict = params.data.model_dump()
+
+				# Enums are not serializable, convert to string
+				for key, value in output_dict.items():
+					if isinstance(value, enum.Enum):
+						output_dict[key] = value.value
+
+				return ActionResult(is_done=True, success=params.success, extracted_content=json.dumps(output_dict))
+		else:
+
+			@self.registry.action(
+				'Complete task - with return text and if the task is finished (success=True) or not yet  completely finished (success=False), because last step is reached',
+				param_model=DoneAction,
+			)
+			async def done(params: DoneAction):
+				return ActionResult(is_done=True, success=params.success, extracted_content=params.text)
+
+		# Basic Navigation Actions
+		@self.registry.action(
+			'Search the query in Google in the current tab, the query should be a search query like humans search in Google, concrete and not vague or super long. More the single most important items. ',
+			param_model=SearchGoogleAction,
+		)
+		async def search_google(params: SearchGoogleAction, browser: BrowserContext):
+			page = await browser.get_current_page()
+			await page.goto(f'https://www.google.com/search?q={params.query}&udm=14')
+			await page.wait_for_load_state()
+			msg = f'🔍  Searched for "{params.query}" in Google'
+			logger.info(msg)
+			return ActionResult(extracted_content=msg, include_in_memory=True)
+
+		@self.registry.action('Navigate to URL in the current tab', param_model=GoToUrlAction)
+		async def go_to_url(params: GoToUrlAction, browser: BrowserContext):
+			page = await browser.get_current_page()
+			await page.goto(params.url)
+			await page.wait_for_load_state()
+			msg = f'🔗  Navigated to {params.url}'
+			logger.info(msg)
+			return ActionResult(extracted_content=msg, include_in_memory=True)
+
+		@self.registry.action('Go back', param_model=NoParamsAction)
+		async def go_back(_: NoParamsAction, browser: BrowserContext):
+			await browser.go_back()
+			msg = '🔙  Navigated back'
+			logger.info(msg)
+			return ActionResult(extracted_content=msg, include_in_memory=True)
+
+		# wait for x seconds
+		@self.registry.action('Wait for x seconds default 3')
+		async def wait(seconds: int = 3):
+			msg = f'🕒  Waiting for {seconds} seconds'
+			logger.info(msg)
+			await asyncio.sleep(seconds)
+			return ActionResult(extracted_content=msg, include_in_memory=True)
+
+		# Element Interaction Actions
+		@self.registry.action('Click element by index', param_model=ClickElementAction)
+		async def click_element_by_index(params: ClickElementAction, browser: BrowserContext):
+			session = await browser.get_session()
+
+			if params.index not in await browser.get_selector_map():
+				raise Exception(f'Element with index {params.index} does not exist - retry or use alternative actions')
+
+			element_node = await browser.get_dom_element_by_index(params.index)
+			initial_pages = len(session.context.pages)
+
+			# if element has file uploader then dont click
+			if await browser.is_file_uploader(element_node):
+				msg = f'Index {params.index} - has an element which opens file upload dialog. To upload files please use a specific function to upload files '
+				logger.info(msg)
+				return ActionResult(extracted_content=msg, include_in_memory=True)
+
+			msg = None
+
+			try:
+				download_path = await browser._click_element_node(element_node)
+				if download_path:
+					msg = f'💾  Downloaded file to {download_path}'
+				else:
+					msg = f'🖱️  Clicked button with index {params.index}: {element_node.get_all_text_till_next_clickable_element(max_depth=2)}'
+
+				logger.info(msg)
+				logger.debug(f'Element xpath: {element_node.xpath}')
+				if len(session.context.pages) > initial_pages:
+					new_tab_msg = 'New tab opened - switching to it'
+					msg += f' - {new_tab_msg}'
+					logger.info(new_tab_msg)
+					await browser.switch_to_tab(-1)
+				return ActionResult(extracted_content=msg, include_in_memory=True)
+			except Exception as e:
+				logger.warning(f'Element not clickable with index {params.index} - most likely the page changed')
+				return ActionResult(error=str(e))
+
+		@self.registry.action(
+			'Input text into a input interactive element',
+			param_model=InputTextAction,
+		)
+		async def input_text(params: InputTextAction, browser: BrowserContext, has_sensitive_data: bool = False):
+			if params.index not in await browser.get_selector_map():
+				raise Exception(f'Element index {params.index} does not exist - retry or use alternative actions')
+
+			element_node = await browser.get_dom_element_by_index(params.index)
+			await browser._input_text_element_node(element_node, params.text)
+			if not has_sensitive_data:
+				msg = f'⌨️  Input {params.text} into index {params.index}'
+			else:
+				msg = f'⌨️  Input sensitive data into index {params.index}'
+			logger.info(msg)
+			logger.debug(f'Element xpath: {element_node.xpath}')
+			return ActionResult(extracted_content=msg, include_in_memory=True)
+
+		# Save PDF
+		@self.registry.action(
+			'Save the current page as a PDF file',
+		)
+		async def save_pdf(browser: BrowserContext):
+			page = await browser.get_current_page()
+			short_url = re.sub(r'^https?://(?:www\.)?|/$', '', page.url)
+			slug = re.sub(r'[^a-zA-Z0-9]+', '-', short_url).strip('-').lower()
+			sanitized_filename = f'{slug}.pdf'
+
+			await page.emulate_media(media='screen')
+			await page.pdf(path=sanitized_filename, format='A4', print_background=False)
+			msg = f'Saving page with URL {page.url} as PDF to ./{sanitized_filename}'
+			logger.info(msg)
+			return ActionResult(extracted_content=msg, include_in_memory=True)
+
+		# Tab Management Actions
+		@self.registry.action('Switch tab', param_model=SwitchTabAction)
+		async def switch_tab(params: SwitchTabAction, browser: BrowserContext):
+			await browser.switch_to_tab(params.page_id)
+			# Wait for tab to be ready and ensure references are synchronized
+			page = await browser.get_agent_current_page()
+			await page.wait_for_load_state()
+			msg = f'🔄  Switched to tab {params.page_id}'
+			logger.info(msg)
+			return ActionResult(extracted_content=msg, include_in_memory=True)
+
+		@self.registry.action('Open url in new tab', param_model=OpenTabAction)
+		async def open_tab(params: OpenTabAction, browser: BrowserContext):
+			await browser.create_new_tab(params.url)
+			# Ensure tab references are properly synchronized
+			await browser.get_agent_current_page()  # this has side-effects (even though it looks like a getter)
+			msg = f'🔗  Opened new tab with {params.url}'
+			logger.info(msg)
+			return ActionResult(extracted_content=msg, include_in_memory=True)
+
+		@self.registry.action('Close an existing tab', param_model=CloseTabAction)
+		async def close_tab(params: CloseTabAction, browser: BrowserContext):
+			await browser.switch_to_tab(params.page_id)
+			page = await browser.get_current_page()
+			url = page.url
+			await page.close()
+			msg = f'❌  Closed tab #{params.page_id} with url {url}'
+			logger.info(msg)
+			return ActionResult(extracted_content=msg, include_in_memory=True)
+
+		# Content Actions
+		@self.registry.action(
+			'Extract page content to retrieve specific information from the page, e.g. all company names, a specific description, all information about, links with companies in structured format or simply links',
+		)
+		async def extract_content(
+			goal: str, should_strip_link_urls: bool, browser: BrowserContext, page_extraction_llm: BaseChatModel
+		):
+			page = await browser.get_current_page()
+			import markdownify
+
+			strip = []
+			if should_strip_link_urls:
+				strip = ['a', 'img']
+
+			content = markdownify.markdownify(await page.content(), strip=strip)
+
+			# manually append iframe text into the content so it's readable by the LLM (includes cross-origin iframes)
+			for iframe in page.frames:
+				if iframe.url != page.url and not iframe.url.startswith('data:'):
+					content += f'\n\nIFRAME {iframe.url}:\n'
+					content += markdownify.markdownify(await iframe.content())
+
+			prompt = 'Your task is to extract the content of the page. You will be given a page and a goal and you should extract all relevant information around this goal from the page. If the goal is vague, summarize the page. Respond in json format. Extraction goal: {goal}, Page: {page}'
+			template = PromptTemplate(input_variables=['goal', 'page'], template=prompt)
+			try:
+				output = await page_extraction_llm.ainvoke(template.format(goal=goal, page=content))
+				msg = f'📄  Extracted from page\n: {output.content}\n'
+				logger.info(msg)
+				return ActionResult(extracted_content=msg, include_in_memory=True)
+			except Exception as e:
+				logger.debug(f'Error extracting content: {e}')
+				msg = f'📄  Extracted from page\n: {content}\n'
+				logger.info(msg)
+				return ActionResult(extracted_content=msg)
+
+		@self.registry.action(
+			'Scroll down the page by pixel amount - if no amount is specified, scroll down one page',
+			param_model=ScrollAction,
+		)
+		async def scroll_down(params: ScrollAction, browser: BrowserContext):
+			page = await browser.get_current_page()
+			if params.amount is not None:
+				await page.evaluate(f'window.scrollBy(0, {params.amount});')
+			else:
+				await page.evaluate('window.scrollBy(0, window.innerHeight);')
+
+			amount = f'{params.amount} pixels' if params.amount is not None else 'one page'
+			msg = f'🔍  Scrolled down the page by {amount}'
+			logger.info(msg)
+			return ActionResult(
+				extracted_content=msg,
+				include_in_memory=True,
+			)
+
+		# scroll up
+		@self.registry.action(
+			'Scroll up the page by pixel amount - if no amount is specified, scroll up one page',
+			param_model=ScrollAction,
+		)
+		async def scroll_up(params: ScrollAction, browser: BrowserContext):
+			page = await browser.get_current_page()
+			if params.amount is not None:
+				await page.evaluate(f'window.scrollBy(0, -{params.amount});')
+			else:
+				await page.evaluate('window.scrollBy(0, -window.innerHeight);')
+
+			amount = f'{params.amount} pixels' if params.amount is not None else 'one page'
+			msg = f'🔍  Scrolled up the page by {amount}'
+			logger.info(msg)
+			return ActionResult(
+				extracted_content=msg,
+				include_in_memory=True,
+			)
+
+		# send keys
+		@self.registry.action(
+			'Send strings of special keys like Escape,Backspace, Insert, PageDown, Delete, Enter, Shortcuts such as `Control+o`, `Control+Shift+T` are supported as well. This gets used in keyboard.press. ',
+			param_model=SendKeysAction,
+		)
+		async def send_keys(params: SendKeysAction, browser: BrowserContext):
+			page = await browser.get_current_page()
+
+			try:
+				await page.keyboard.press(params.keys)
+			except Exception as e:
+				if 'Unknown key' in str(e):
+					# loop over the keys and try to send each one
+					for key in params.keys:
+						try:
+							await page.keyboard.press(key)
+						except Exception as e:
+							logger.debug(f'Error sending key {key}: {str(e)}')
+							raise e
+				else:
+					raise e
+			msg = f'⌨️  Sent keys: {params.keys}'
+			logger.info(msg)
+			return ActionResult(extracted_content=msg, include_in_memory=True)
+
+		@self.registry.action(
+			description='If you dont find something which you want to interact with, scroll to it',
+		)
+		async def scroll_to_text(text: str, browser: BrowserContext):  # type: ignore
+			page = await browser.get_current_page()
+			try:
+				# Try different locator strategies
+				locators = [
+					page.get_by_text(text, exact=False),
+					page.locator(f'text={text}'),
+					page.locator(f"//*[contains(text(), '{text}')]"),
+				]
+
+				for locator in locators:
+					try:
+						if await locator.count() == 0:
+							continue
+
+						element = await locator.first
+						is_visible = await element.is_visible()
+						bbox = await element.bounding_box()
+
+						if is_visible and bbox is not None and bbox['width'] > 0 and bbox['height'] > 0:
+							await element.scroll_into_view_if_needed()
+							await asyncio.sleep(0.5)  # Wait for scroll to complete
+							msg = f'🔍  Scrolled to text: {text}'
+							logger.info(msg)
+							return ActionResult(extracted_content=msg, include_in_memory=True)
+
+					except Exception as e:
+						logger.debug(f'Locator attempt failed: {str(e)}')
+						continue
+
+				msg = f"Text '{text}' not found or not visible on page"
+				logger.info(msg)
+				return ActionResult(extracted_content=msg, include_in_memory=True)
+
+			except Exception as e:
+				msg = f"Failed to scroll to text '{text}': {str(e)}"
+				logger.error(msg)
+				return ActionResult(error=msg, include_in_memory=True)
+
+		@self.registry.action(
+			description='Get all options from a native dropdown',
+		)
+		async def get_dropdown_options(index: int, browser: BrowserContext) -> ActionResult:
+			"""Get all options from a native dropdown"""
+			page = await browser.get_current_page()
+			selector_map = await browser.get_selector_map()
+			dom_element = selector_map[index]
+
+			try:
+				# Frame-aware approach since we know it works
+				all_options = []
+				frame_index = 0
+
+				for frame in page.frames:
+					try:
+						options = await frame.evaluate(
+							"""
+							(xpath) => {
+								const select = document.evaluate(xpath, document, null,
+									XPathResult.FIRST_ORDERED_NODE_TYPE, null).singleNodeValue;
+								if (!select) return null;
+
+								return {
+									options: Array.from(select.options).map(opt => ({
+										text: opt.text, //do not trim, because we are doing exact match in select_dropdown_option
+										value: opt.value,
+										index: opt.index
+									})),
+									id: select.id,
+									name: select.name
+								};
+							}
+						""",
+							dom_element.xpath,
+						)
+
+						if options:
+							logger.debug(f'Found dropdown in frame {frame_index}')
+							logger.debug(f'Dropdown ID: {options["id"]}, Name: {options["name"]}')
+
+							formatted_options = []
+							for opt in options['options']:
+								# encoding ensures AI uses the exact string in select_dropdown_option
+								encoded_text = json.dumps(opt['text'])
+								formatted_options.append(f'{opt["index"]}: text={encoded_text}')
+
+							all_options.extend(formatted_options)
+
+					except Exception as frame_e:
+						logger.debug(f'Frame {frame_index} evaluation failed: {str(frame_e)}')
+
+					frame_index += 1
+
+				if all_options:
+					msg = '\n'.join(all_options)
+					msg += '\nUse the exact text string in select_dropdown_option'
+					logger.info(msg)
+					return ActionResult(extracted_content=msg, include_in_memory=True)
+				else:
+					msg = 'No options found in any frame for dropdown'
+					logger.info(msg)
+					return ActionResult(extracted_content=msg, include_in_memory=True)
+
+			except Exception as e:
+				logger.error(f'Failed to get dropdown options: {str(e)}')
+				msg = f'Error getting options: {str(e)}'
+				logger.info(msg)
+				return ActionResult(extracted_content=msg, include_in_memory=True)
+
+		@self.registry.action(
+			description='Select dropdown option for interactive element index by the text of the option you want to select',
+		)
+		async def select_dropdown_option(
+			index: int,
+			text: str,
+			browser: BrowserContext,
+		) -> ActionResult:
+			"""Select dropdown option by the text of the option you want to select"""
+			page = await browser.get_current_page()
+			selector_map = await browser.get_selector_map()
+			dom_element = selector_map[index]
+
+			# Validate that we're working with a select element
+			if dom_element.tag_name != 'select':
+				logger.error(f'Element is not a select! Tag: {dom_element.tag_name}, Attributes: {dom_element.attributes}')
+				msg = f'Cannot select option: Element with index {index} is a {dom_element.tag_name}, not a select'
+				return ActionResult(extracted_content=msg, include_in_memory=True)
+
+			logger.debug(f"Attempting to select '{text}' using xpath: {dom_element.xpath}")
+			logger.debug(f'Element attributes: {dom_element.attributes}')
+			logger.debug(f'Element tag: {dom_element.tag_name}')
+
+			xpath = '//' + dom_element.xpath
+
+			try:
+				frame_index = 0
+				for frame in page.frames:
+					try:
+						logger.debug(f'Trying frame {frame_index} URL: {frame.url}')
+
+						# First verify we can find the dropdown in this frame
+						find_dropdown_js = """
+							(xpath) => {
+								try {
+									const select = document.evaluate(xpath, document, null,
+										XPathResult.FIRST_ORDERED_NODE_TYPE, null).singleNodeValue;
+									if (!select) return null;
+									if (select.tagName.toLowerCase() !== 'select') {
+										return {
+											error: `Found element but it's a ${select.tagName}, not a SELECT`,
+											found: false
+										};
+									}
+									return {
+										id: select.id,
+										name: select.name,
+										found: true,
+										tagName: select.tagName,
+										optionCount: select.options.length,
+										currentValue: select.value,
+										availableOptions: Array.from(select.options).map(o => o.text.trim())
+									};
+								} catch (e) {
+									return {error: e.toString(), found: false};
+								}
+							}
+						"""
+
+						dropdown_info = await frame.evaluate(find_dropdown_js, dom_element.xpath)
+
+						if dropdown_info:
+							if not dropdown_info.get('found'):
+								logger.error(f'Frame {frame_index} error: {dropdown_info.get("error")}')
+								continue
+
+							logger.debug(f'Found dropdown in frame {frame_index}: {dropdown_info}')
+
+							# "label" because we are selecting by text
+							# nth(0) to disable error thrown by strict mode
+							# timeout=1000 because we are already waiting for all network events, therefore ideally we don't need to wait a lot here (default 30s)
+							selected_option_values = (
+								await frame.locator('//' + dom_element.xpath).nth(0).select_option(label=text, timeout=1000)
+							)
+
+							msg = f'selected option {text} with value {selected_option_values}'
+							logger.info(msg + f' in frame {frame_index}')
+
+							return ActionResult(extracted_content=msg, include_in_memory=True)
+
+					except Exception as frame_e:
+						logger.error(f'Frame {frame_index} attempt failed: {str(frame_e)}')
+						logger.error(f'Frame type: {type(frame)}')
+						logger.error(f'Frame URL: {frame.url}')
+
+					frame_index += 1
+
+				msg = f"Could not select option '{text}' in any frame"
+				logger.info(msg)
+				return ActionResult(extracted_content=msg, include_in_memory=True)
+
+			except Exception as e:
+				msg = f'Selection failed: {str(e)}'
+				logger.error(msg)
+				return ActionResult(error=msg, include_in_memory=True)
+
+		@self.registry.action(
+			'Drag and drop elements or between coordinates on the page - useful for canvas drawing, sortable lists, sliders, file uploads, and UI rearrangement',
+			param_model=DragDropAction,
+		)
+		async def drag_drop(params: DragDropAction, browser: BrowserContext) -> ActionResult:
+			"""
+			Performs a precise drag and drop operation between elements or coordinates.
+			"""
+
+			async def get_drag_elements(
+				page: Page,
+				source_selector: str,
+				target_selector: str,
+			) -> tuple[ElementHandle | None, ElementHandle | None]:
+				"""Get source and target elements with appropriate error handling."""
+				source_element = None
+				target_element = None
+
+				try:
+					# page.locator() auto-detects CSS and XPath
+					source_locator = page.locator(source_selector)
+					target_locator = page.locator(target_selector)
+
+					# Check if elements exist
+					source_count = await source_locator.count()
+					target_count = await target_locator.count()
+
+					if source_count > 0:
+						source_element = await source_locator.first.element_handle()
+						logger.debug(f'Found source element with selector: {source_selector}')
+					else:
+						logger.warning(f'Source element not found: {source_selector}')
+
+					if target_count > 0:
+						target_element = await target_locator.first.element_handle()
+						logger.debug(f'Found target element with selector: {target_selector}')
+					else:
+						logger.warning(f'Target element not found: {target_selector}')
+
+				except Exception as e:
+					logger.error(f'Error finding elements: {str(e)}')
+
+				return source_element, target_element
+
+			async def get_element_coordinates(
+				source_element: ElementHandle,
+				target_element: ElementHandle,
+				source_position: Position | None,
+				target_position: Position | None,
+			) -> tuple[tuple[int, int] | None, tuple[int, int] | None]:
+				"""Get coordinates from elements with appropriate error handling."""
+				source_coords = None
+				target_coords = None
+
+				try:
+					# Get source coordinates
+					if source_position:
+						source_coords = (source_position.x, source_position.y)
+					else:
+						source_box = await source_element.bounding_box()
+						if source_box:
+							source_coords = (
+								int(source_box['x'] + source_box['width'] / 2),
+								int(source_box['y'] + source_box['height'] / 2),
+							)
+
+					# Get target coordinates
+					if target_position:
+						target_coords = (target_position.x, target_position.y)
+					else:
+						target_box = await target_element.bounding_box()
+						if target_box:
+							target_coords = (
+								int(target_box['x'] + target_box['width'] / 2),
+								int(target_box['y'] + target_box['height'] / 2),
+							)
+				except Exception as e:
+					logger.error(f'Error getting element coordinates: {str(e)}')
+
+				return source_coords, target_coords
+
+			async def execute_drag_operation(
+				page: Page,
+				source_x: int,
+				source_y: int,
+				target_x: int,
+				target_y: int,
+				steps: int,
+				delay_ms: int,
+			) -> tuple[bool, str]:
+				"""Execute the drag operation with comprehensive error handling."""
+				try:
+					# Try to move to source position
+					try:
+						await page.mouse.move(source_x, source_y)
+						logger.debug(f'Moved to source position ({source_x}, {source_y})')
+					except Exception as e:
+						logger.error(f'Failed to move to source position: {str(e)}')
+						return False, f'Failed to move to source position: {str(e)}'
+
+					# Press mouse button down
+					await page.mouse.down()
+
+					# Move to target position with intermediate steps
+					for i in range(1, steps + 1):
+						ratio = i / steps
+						intermediate_x = int(source_x + (target_x - source_x) * ratio)
+						intermediate_y = int(source_y + (target_y - source_y) * ratio)
+
+						await page.mouse.move(intermediate_x, intermediate_y)
+
+						if delay_ms > 0:
+							await asyncio.sleep(delay_ms / 1000)
+
+					# Move to final target position
+					await page.mouse.move(target_x, target_y)
+
+					# Move again to ensure dragover events are properly triggered
+					await page.mouse.move(target_x, target_y)
+
+					# Release mouse button
+					await page.mouse.up()
+
+					return True, 'Drag operation completed successfully'
+
+				except Exception as e:
+					return False, f'Error during drag operation: {str(e)}'
+
+			page = await browser.get_current_page()
+
+			try:
+				# Initialize variables
+				source_x: int | None = None
+				source_y: int | None = None
+				target_x: int | None = None
+				target_y: int | None = None
+
+				# Normalize parameters
+				steps = max(1, params.steps or 10)
+				delay_ms = max(0, params.delay_ms or 5)
+
+				# Case 1: Element selectors provided
+				if params.element_source and params.element_target:
+					logger.debug('Using element-based approach with selectors')
+
+					source_element, target_element = await get_drag_elements(
+						page,
+						params.element_source,
+						params.element_target,
+					)
+
+					if not source_element or not target_element:
+						error_msg = f'Failed to find {"source" if not source_element else "target"} element'
+						return ActionResult(error=error_msg, include_in_memory=True)
+
+					source_coords, target_coords = await get_element_coordinates(
+						source_element, target_element, params.element_source_offset, params.element_target_offset
+					)
+
+					if not source_coords or not target_coords:
+						error_msg = f'Failed to determine {"source" if not source_coords else "target"} coordinates'
+						return ActionResult(error=error_msg, include_in_memory=True)
+
+					source_x, source_y = source_coords
+					target_x, target_y = target_coords
+
+				# Case 2: Coordinates provided directly
+				elif all(
+					coord is not None
+					for coord in [params.coord_source_x, params.coord_source_y, params.coord_target_x, params.coord_target_y]
+				):
+					logger.debug('Using coordinate-based approach')
+					source_x = params.coord_source_x
+					source_y = params.coord_source_y
+					target_x = params.coord_target_x
+					target_y = params.coord_target_y
+				else:
+					error_msg = 'Must provide either source/target selectors or source/target coordinates'
+					return ActionResult(error=error_msg, include_in_memory=True)
+
+				# Validate coordinates
+				if any(coord is None for coord in [source_x, source_y, target_x, target_y]):
+					error_msg = 'Failed to determine source or target coordinates'
+					return ActionResult(error=error_msg, include_in_memory=True)
+
+				# Perform the drag operation
+				success, message = await execute_drag_operation(
+					page,
+					cast(int, source_x),
+					cast(int, source_y),
+					cast(int, target_x),
+					cast(int, target_y),
+					steps,
+					delay_ms,
+				)
+
+				if not success:
+					logger.error(f'Drag operation failed: {message}')
+					return ActionResult(error=message, include_in_memory=True)
+
+				# Create descriptive message
+				if params.element_source and params.element_target:
+					msg = f"🖱️ Dragged element '{params.element_source}' to '{params.element_target}'"
+				else:
+					msg = f'🖱️ Dragged from ({source_x}, {source_y}) to ({target_x}, {target_y})'
+
+				logger.info(msg)
+				return ActionResult(extracted_content=msg, include_in_memory=True)
+
+			except Exception as e:
+				error_msg = f'Failed to perform drag and drop: {str(e)}'
+				logger.error(error_msg)
+				return ActionResult(error=error_msg, include_in_memory=True)
+
+		@self.registry.action('Google Sheets: Get the contents of the entire sheet', domains=['sheets.google.com'])
+		async def get_sheet_contents(browser: BrowserContext):
+			page = await browser.get_current_page()
+
+			# select all cells
+			await page.keyboard.press('Enter')
+			await page.keyboard.press('Escape')
+			await page.keyboard.press('ControlOrMeta+A')
+			await page.keyboard.press('ControlOrMeta+C')
+
+			extracted_tsv = await page.evaluate('() => navigator.clipboard.readText()')
+			return ActionResult(extracted_content=extracted_tsv, include_in_memory=True)
+
+		@self.registry.action('Google Sheets: Select a specific cell or range of cells', domains=['sheets.google.com'])
+		async def select_cell_or_range(browser: BrowserContext, cell_or_range: str):
+			page = await browser.get_current_page()
+
+			await page.keyboard.press('Enter')  # make sure we dont delete current cell contents if we were last editing
+			await page.keyboard.press('Escape')  # to clear current focus (otherwise select range popup is additive)
+			await asyncio.sleep(0.1)
+			await page.keyboard.press('Home')  # move cursor to the top left of the sheet first
+			await page.keyboard.press('ArrowUp')
+			await asyncio.sleep(0.1)
+			await page.keyboard.press('Control+G')  # open the goto range popup
+			await asyncio.sleep(0.2)
+			await page.keyboard.type(cell_or_range, delay=0.05)
+			await asyncio.sleep(0.2)
+			await page.keyboard.press('Enter')
+			await asyncio.sleep(0.2)
+			await page.keyboard.press('Escape')  # to make sure the popup still closes in the case where the jump failed
+			return ActionResult(extracted_content=f'Selected cell {cell_or_range}', include_in_memory=False)
+
+		@self.registry.action(
+			'Google Sheets: Get the contents of a specific cell or range of cells', domains=['sheets.google.com']
+		)
+		async def get_range_contents(browser: BrowserContext, cell_or_range: str):
+			page = await browser.get_current_page()
+
+			await select_cell_or_range(browser, cell_or_range)
+
+			await page.keyboard.press('ControlOrMeta+C')
+			await asyncio.sleep(0.1)
+			extracted_tsv = await page.evaluate('() => navigator.clipboard.readText()')
+			return ActionResult(extracted_content=extracted_tsv, include_in_memory=True)
+
+		@self.registry.action('Google Sheets: Clear the currently selected cells', domains=['sheets.google.com'])
+		async def clear_selected_range(browser: BrowserContext):
+			page = await browser.get_current_page()
+
+			await page.keyboard.press('Backspace')
+			return ActionResult(extracted_content='Cleared selected range', include_in_memory=False)
+
+		@self.registry.action('Google Sheets: Input text into the currently selected cell', domains=['sheets.google.com'])
+		async def input_selected_cell_text(browser: BrowserContext, text: str):
+			page = await browser.get_current_page()
+
+			await page.keyboard.type(text, delay=0.1)
+			await page.keyboard.press('Enter')  # make sure to commit the input so it doesn't get overwritten by the next action
+			await page.keyboard.press('ArrowUp')
+			return ActionResult(extracted_content=f'Inputted text {text}', include_in_memory=False)
+
+		@self.registry.action('Google Sheets: Batch update a range of cells', domains=['sheets.google.com'])
+		async def update_range_contents(browser: BrowserContext, range: str, new_contents_tsv: str):
+			page = await browser.get_current_page()
+
+			await select_cell_or_range(browser, range)
+
+			# simulate paste event from clipboard with TSV content
+			await page.evaluate(f"""
+				const clipboardData = new DataTransfer();
+				clipboardData.setData('text/plain', `{new_contents_tsv}`);
+				document.activeElement.dispatchEvent(new ClipboardEvent('paste', {{clipboardData}}));
+			""")
+
+			return ActionResult(extracted_content=f'Updated cell {range} with {new_contents_tsv}', include_in_memory=False)
+
+	# Register ---------------------------------------------------------------
+
+	def action(self, description: str, **kwargs):
+		"""Decorator for registering custom actions
+
+		@param description: Describe the LLM what the function does (better description == better function calling)
+		"""
+		return self.registry.action(description, **kwargs)
+
+	# Act --------------------------------------------------------------------
+
+	@time_execution_sync('--act')
+	async def act(
+		self,
+		action: ActionModel,
+		browser_context: BrowserContext,
+		#
+		page_extraction_llm: BaseChatModel | None = None,
+		sensitive_data: dict[str, str] | None = None,
+		available_file_paths: list[str] | None = None,
+		#
+		context: Context | None = None,
+	) -> ActionResult:
+		"""Execute an action"""
+
+		try:
+			for action_name, params in action.model_dump(exclude_unset=True).items():
+				if params is not None:
+					# with Laminar.start_as_current_span(
+					# 	name=action_name,
+					# 	input={
+					# 		'action': action_name,
+					# 		'params': params,
+					# 	},
+					# 	span_type='TOOL',
+					# ):
+					result = await self.registry.execute_action(
+						action_name,
+						params,
+						browser=browser_context,
+						page_extraction_llm=page_extraction_llm,
+						sensitive_data=sensitive_data,
+						available_file_paths=available_file_paths,
+						context=context,
+					)
+
+					# Laminar.set_span_output(result)
+
+					if isinstance(result, str):
+						return ActionResult(extracted_content=result)
+					elif isinstance(result, ActionResult):
+						return result
+					elif result is None:
+						return ActionResult()
+					else:
+						raise ValueError(f'Invalid action result type: {type(result)} of {result}')
+			return ActionResult()
+		except Exception as e:
+			raise e
diff --git a/src/browser_use/controller/views.py b/src/browser_use/controller/views.py
new file mode 100644
index 00000000..8bfe79f8
--- /dev/null
+++ b/src/browser_use/controller/views.py
@@ -0,0 +1,91 @@
+from pydantic import BaseModel, ConfigDict, Field, model_validator
+
+
+# Action Input Models
+class SearchGoogleAction(BaseModel):
+	query: str
+
+
+class GoToUrlAction(BaseModel):
+	url: str
+
+
+class ClickElementAction(BaseModel):
+	index: int
+	xpath: str | None = None
+
+
+class InputTextAction(BaseModel):
+	index: int
+	text: str
+	xpath: str | None = None
+
+
+class DoneAction(BaseModel):
+	text: str
+	success: bool
+
+
+class SwitchTabAction(BaseModel):
+	page_id: int
+
+
+class OpenTabAction(BaseModel):
+	url: str
+
+
+class CloseTabAction(BaseModel):
+	page_id: int
+
+
+class ScrollAction(BaseModel):
+	amount: int | None = None  # The number of pixels to scroll. If None, scroll down/up one page
+
+
+class SendKeysAction(BaseModel):
+	keys: str
+
+
+class ExtractPageContentAction(BaseModel):
+	value: str
+
+
+class NoParamsAction(BaseModel):
+	"""
+	Accepts absolutely anything in the incoming data
+	and discards it, so the final parsed model is empty.
+	"""
+
+	model_config = ConfigDict(extra='allow')
+
+	@model_validator(mode='before')
+	def ignore_all_inputs(cls, values):
+		# No matter what the user sends, discard it and return empty.
+		return {}
+
+
+class Position(BaseModel):
+	x: int
+	y: int
+
+
+class DragDropAction(BaseModel):
+	# Element-based approach
+	element_source: str | None = Field(None, description='CSS selector or XPath of the element to drag from')
+	element_target: str | None = Field(None, description='CSS selector or XPath of the element to drop onto')
+	element_source_offset: Position | None = Field(
+		None, description='Precise position within the source element to start drag (in pixels from top-left corner)'
+	)
+	element_target_offset: Position | None = Field(
+		None, description='Precise position within the target element to drop (in pixels from top-left corner)'
+	)
+
+	# Coordinate-based approach (used if selectors not provided)
+	coord_source_x: int | None = Field(None, description='Absolute X coordinate on page to start drag from (in pixels)')
+	coord_source_y: int | None = Field(None, description='Absolute Y coordinate on page to start drag from (in pixels)')
+	coord_target_x: int | None = Field(None, description='Absolute X coordinate on page to drop at (in pixels)')
+	coord_target_y: int | None = Field(None, description='Absolute Y coordinate on page to drop at (in pixels)')
+
+	# Common options
+	steps: int | None = Field(10, description='Number of intermediate points for smoother movement (5-20 recommended)')
+	delay_ms: int | None = Field(5, description='Delay in milliseconds between steps (0 for fastest, 10-20 for more natural)')
diff --git a/src/browser_use/dom/__init__.py b/src/browser_use/dom/__init__.py
new file mode 100644
index 00000000..e69de29b
diff --git a/src/browser_use/dom/buildDomTree.js b/src/browser_use/dom/buildDomTree.js
new file mode 100644
index 00000000..932b97f3
--- /dev/null
+++ b/src/browser_use/dom/buildDomTree.js
@@ -0,0 +1,1412 @@
+(
+  args = {
+    doHighlightElements: true,
+    focusHighlightIndex: -1,
+    viewportExpansion: 0,
+    debugMode: false,
+  }
+) => {
+  const { doHighlightElements, focusHighlightIndex, viewportExpansion, debugMode } = args;
+  let highlightIndex = 0; // Reset highlight index
+
+  // Add timing stack to handle recursion
+  const TIMING_STACK = {
+    nodeProcessing: [],
+    treeTraversal: [],
+    highlighting: [],
+    current: null
+  };
+
+  function pushTiming(type) {
+    TIMING_STACK[type] = TIMING_STACK[type] || [];
+    TIMING_STACK[type].push(performance.now());
+  }
+
+  function popTiming(type) {
+    const start = TIMING_STACK[type].pop();
+    const duration = performance.now() - start;
+    return duration;
+  }
+
+  // Only initialize performance tracking if in debug mode
+  const PERF_METRICS = debugMode ? {
+    buildDomTreeCalls: 0,
+    timings: {
+      buildDomTree: 0,
+      highlightElement: 0,
+      isInteractiveElement: 0,
+      isElementVisible: 0,
+      isTopElement: 0,
+      isInExpandedViewport: 0,
+      isTextNodeVisible: 0,
+      getEffectiveScroll: 0,
+    },
+    cacheMetrics: {
+      boundingRectCacheHits: 0,
+      boundingRectCacheMisses: 0,
+      computedStyleCacheHits: 0,
+      computedStyleCacheMisses: 0,
+      getBoundingClientRectTime: 0,
+      getComputedStyleTime: 0,
+      boundingRectHitRate: 0,
+      computedStyleHitRate: 0,
+      overallHitRate: 0,
+      clientRectsCacheHits: 0,
+      clientRectsCacheMisses: 0,
+    },
+    nodeMetrics: {
+      totalNodes: 0,
+      processedNodes: 0,
+      skippedNodes: 0,
+    },
+    buildDomTreeBreakdown: {
+      totalTime: 0,
+      totalSelfTime: 0,
+      buildDomTreeCalls: 0,
+      domOperations: {
+        getBoundingClientRect: 0,
+        getComputedStyle: 0,
+      },
+      domOperationCounts: {
+        getBoundingClientRect: 0,
+        getComputedStyle: 0,
+      }
+    }
+  } : null;
+
+  // Simple timing helper that only runs in debug mode
+  function measureTime(fn) {
+    if (!debugMode) return fn;
+    return function (...args) {
+      const start = performance.now();
+      const result = fn.apply(this, args);
+      const duration = performance.now() - start;
+      return result;
+    };
+  }
+
+  // Helper to measure DOM operations
+  function measureDomOperation(operation, name) {
+    if (!debugMode) return operation();
+
+    const start = performance.now();
+    const result = operation();
+    const duration = performance.now() - start;
+
+    if (PERF_METRICS && name in PERF_METRICS.buildDomTreeBreakdown.domOperations) {
+      PERF_METRICS.buildDomTreeBreakdown.domOperations[name] += duration;
+      PERF_METRICS.buildDomTreeBreakdown.domOperationCounts[name]++;
+    }
+
+    return result;
+  }
+
+  // Add caching mechanisms at the top level
+  const DOM_CACHE = {
+    boundingRects: new WeakMap(),
+    clientRects: new WeakMap(),
+    computedStyles: new WeakMap(),
+    clearCache: () => {
+      DOM_CACHE.boundingRects = new WeakMap();
+      DOM_CACHE.clientRects = new WeakMap();
+      DOM_CACHE.computedStyles = new WeakMap();
+    }
+  };
+
+  // Cache helper functions
+  function getCachedBoundingRect(element) {
+    if (!element) return null;
+
+    if (DOM_CACHE.boundingRects.has(element)) {
+      if (debugMode && PERF_METRICS) {
+        PERF_METRICS.cacheMetrics.boundingRectCacheHits++;
+      }
+      return DOM_CACHE.boundingRects.get(element);
+    }
+
+    if (debugMode && PERF_METRICS) {
+      PERF_METRICS.cacheMetrics.boundingRectCacheMisses++;
+    }
+
+    let rect;
+    if (debugMode) {
+      const start = performance.now();
+      rect = element.getBoundingClientRect();
+      const duration = performance.now() - start;
+      if (PERF_METRICS) {
+        PERF_METRICS.buildDomTreeBreakdown.domOperations.getBoundingClientRect += duration;
+        PERF_METRICS.buildDomTreeBreakdown.domOperationCounts.getBoundingClientRect++;
+      }
+    } else {
+      rect = element.getBoundingClientRect();
+    }
+
+    if (rect) {
+      DOM_CACHE.boundingRects.set(element, rect);
+    }
+    return rect;
+  }
+
+  function getCachedComputedStyle(element) {
+    if (!element) return null;
+
+    if (DOM_CACHE.computedStyles.has(element)) {
+      if (debugMode && PERF_METRICS) {
+        PERF_METRICS.cacheMetrics.computedStyleCacheHits++;
+      }
+      return DOM_CACHE.computedStyles.get(element);
+    }
+
+    if (debugMode && PERF_METRICS) {
+      PERF_METRICS.cacheMetrics.computedStyleCacheMisses++;
+    }
+
+    let style;
+    if (debugMode) {
+      const start = performance.now();
+      style = window.getComputedStyle(element);
+      const duration = performance.now() - start;
+      if (PERF_METRICS) {
+        PERF_METRICS.buildDomTreeBreakdown.domOperations.getComputedStyle += duration;
+        PERF_METRICS.buildDomTreeBreakdown.domOperationCounts.getComputedStyle++;
+      }
+    } else {
+      style = window.getComputedStyle(element);
+    }
+
+    if (style) {
+      DOM_CACHE.computedStyles.set(element, style);
+    }
+    return style;
+  }
+
+  // Add a new function to get cached client rects
+  function getCachedClientRects(element) {
+    if (!element) return null;
+    
+    if (DOM_CACHE.clientRects.has(element)) {
+      if (debugMode && PERF_METRICS) {
+        PERF_METRICS.cacheMetrics.clientRectsCacheHits++;
+      }
+      return DOM_CACHE.clientRects.get(element);
+    }
+    
+    if (debugMode && PERF_METRICS) {
+      PERF_METRICS.cacheMetrics.clientRectsCacheMisses++;
+    }
+    
+    const rects = element.getClientRects();
+    
+    if (rects) {
+      DOM_CACHE.clientRects.set(element, rects);
+    }
+    return rects;
+  }
+
+  /**
+   * Hash map of DOM nodes indexed by their highlight index.
+   *
+   * @type {Object<string, any>}
+   */
+  const DOM_HASH_MAP = {};
+
+  const ID = { current: 0 };
+
+  const HIGHLIGHT_CONTAINER_ID = "playwright-highlight-container";
+
+  // Add a WeakMap cache for XPath strings
+  const xpathCache = new WeakMap();
+
+  // Initialize once and reuse
+  const viewportObserver = new IntersectionObserver(
+    (entries) => {
+      entries.forEach(entry => {
+        elementVisibilityMap.set(entry.target, entry.isIntersecting);
+      });
+    },
+    { rootMargin: `${viewportExpansion}px` }
+  );
+
+  /**
+   * Highlights an element in the DOM and returns the index of the next element.
+   */
+  function highlightElement(element, index, parentIframe = null) {
+    pushTiming('highlighting');
+    
+    if (!element) return index;
+
+    // Store overlays and the single label for updating
+    const overlays = [];
+    let label = null;
+    let labelWidth = 20;
+    let labelHeight = 16;
+    let cleanupFn = null;
+
+    try {
+      // Create or get highlight container
+      let container = document.getElementById(HIGHLIGHT_CONTAINER_ID);
+      if (!container) {
+        container = document.createElement("div");
+        container.id = HIGHLIGHT_CONTAINER_ID;
+        container.style.position = "fixed";
+        container.style.pointerEvents = "none";
+        container.style.top = "0";
+        container.style.left = "0";
+        container.style.width = "100%";
+        container.style.height = "100%";
+        container.style.zIndex = "2147483640";
+        container.style.backgroundColor = 'transparent';
+        document.body.appendChild(container);
+      }
+
+      // Get element client rects
+      const rects = element.getClientRects(); // Use getClientRects()
+
+      if (!rects || rects.length === 0) return index; // Exit if no rects
+
+      // Generate a color based on the index
+      const colors = [
+        "#FF0000",
+        "#00FF00",
+        "#0000FF",
+        "#FFA500",
+        "#800080",
+        "#008080",
+        "#FF69B4",
+        "#4B0082",
+        "#FF4500",
+        "#2E8B57",
+        "#DC143C",
+        "#4682B4",
+      ];
+      const colorIndex = index % colors.length;
+      const baseColor = colors[colorIndex];
+      const backgroundColor = baseColor + "1A"; // 10% opacity version of the color
+
+      // Get iframe offset if necessary
+      let iframeOffset = { x: 0, y: 0 };
+      if (parentIframe) {
+        const iframeRect = parentIframe.getBoundingClientRect(); // Keep getBoundingClientRect for iframe offset
+        iframeOffset.x = iframeRect.left;
+        iframeOffset.y = iframeRect.top;
+      }
+
+      // Create fragment to hold overlay elements
+      const fragment = document.createDocumentFragment();
+
+      // Create highlight overlays for each client rect
+      for (const rect of rects) {
+        if (rect.width === 0 || rect.height === 0) continue; // Skip empty rects
+
+        const overlay = document.createElement("div");
+        overlay.style.position = "fixed";
+        overlay.style.border = `2px solid ${baseColor}`;
+        overlay.style.backgroundColor = backgroundColor;
+        overlay.style.pointerEvents = "none";
+        overlay.style.boxSizing = "border-box";
+
+        const top = rect.top + iframeOffset.y;
+        const left = rect.left + iframeOffset.x;
+
+        overlay.style.top = `${top}px`;
+        overlay.style.left = `${left}px`;
+        overlay.style.width = `${rect.width}px`;
+        overlay.style.height = `${rect.height}px`;
+
+        fragment.appendChild(overlay);
+        overlays.push({ element: overlay, initialRect: rect }); // Store overlay and its rect
+      }
+
+      // Create and position a single label relative to the first rect
+      const firstRect = rects[0];
+      label = document.createElement("div");
+      label.className = "playwright-highlight-label";
+      label.style.position = "fixed";
+      label.style.background = baseColor;
+      label.style.color = "white";
+      label.style.padding = "1px 4px";
+      label.style.borderRadius = "4px";
+      label.style.fontSize = `${Math.min(12, Math.max(8, firstRect.height / 2))}px`;
+      label.textContent = index;
+
+      labelWidth = label.offsetWidth > 0 ? label.offsetWidth : labelWidth; // Update actual width if possible
+      labelHeight = label.offsetHeight > 0 ? label.offsetHeight : labelHeight; // Update actual height if possible
+
+      const firstRectTop = firstRect.top + iframeOffset.y;
+      const firstRectLeft = firstRect.left + iframeOffset.x;
+
+      let labelTop = firstRectTop + 2;
+      let labelLeft = firstRectLeft + firstRect.width - labelWidth - 2;
+
+      // Adjust label position if first rect is too small
+      if (firstRect.width < labelWidth + 4 || firstRect.height < labelHeight + 4) {
+        labelTop = firstRectTop - labelHeight - 2;
+        labelLeft = firstRectLeft + firstRect.width - labelWidth; // Align with right edge
+        if (labelLeft < iframeOffset.x) labelLeft = firstRectLeft; // Prevent going off-left
+      }
+
+      // Ensure label stays within viewport bounds slightly better
+      labelTop = Math.max(0, Math.min(labelTop, window.innerHeight - labelHeight));
+      labelLeft = Math.max(0, Math.min(labelLeft, window.innerWidth - labelWidth));
+
+
+      label.style.top = `${labelTop}px`;
+      label.style.left = `${labelLeft}px`;
+
+      fragment.appendChild(label);
+
+      // Update positions on scroll/resize
+      const updatePositions = () => {
+        const newRects = element.getClientRects(); // Get fresh rects
+        let newIframeOffset = { x: 0, y: 0 };
+
+        if (parentIframe) {
+          const iframeRect = parentIframe.getBoundingClientRect(); // Keep getBoundingClientRect for iframe
+          newIframeOffset.x = iframeRect.left;
+          newIframeOffset.y = iframeRect.top;
+        }
+
+        // Update each overlay
+        overlays.forEach((overlayData, i) => {
+          if (i < newRects.length) { // Check if rect still exists
+            const newRect = newRects[i];
+            const newTop = newRect.top + newIframeOffset.y;
+            const newLeft = newRect.left + newIframeOffset.x;
+
+            overlayData.element.style.top = `${newTop}px`;
+            overlayData.element.style.left = `${newLeft}px`;
+            overlayData.element.style.width = `${newRect.width}px`;
+            overlayData.element.style.height = `${newRect.height}px`;
+            overlayData.element.style.display = (newRect.width === 0 || newRect.height === 0) ? 'none' : 'block';
+          } else {
+            // If fewer rects now, hide extra overlays
+            overlayData.element.style.display = 'none';
+          }
+        });
+
+        // If there are fewer new rects than overlays, hide the extras
+        if (newRects.length < overlays.length) {
+          for (let i = newRects.length; i < overlays.length; i++) {
+            overlays[i].element.style.display = 'none';
+          }
+        }
+
+        // Update label position based on the first new rect
+        if (label && newRects.length > 0) {
+          const firstNewRect = newRects[0];
+          const firstNewRectTop = firstNewRect.top + newIframeOffset.y;
+          const firstNewRectLeft = firstNewRect.left + newIframeOffset.x;
+
+          let newLabelTop = firstNewRectTop + 2;
+          let newLabelLeft = firstNewRectLeft + firstNewRect.width - labelWidth - 2;
+
+          if (firstNewRect.width < labelWidth + 4 || firstNewRect.height < labelHeight + 4) {
+            newLabelTop = firstNewRectTop - labelHeight - 2;
+            newLabelLeft = firstNewRectLeft + firstNewRect.width - labelWidth;
+            if (newLabelLeft < newIframeOffset.x) newLabelLeft = firstNewRectLeft;
+          }
+
+          // Ensure label stays within viewport bounds
+          newLabelTop = Math.max(0, Math.min(newLabelTop, window.innerHeight - labelHeight));
+          newLabelLeft = Math.max(0, Math.min(newLabelLeft, window.innerWidth - labelWidth));
+
+          label.style.top = `${newLabelTop}px`;
+          label.style.left = `${newLabelLeft}px`;
+          label.style.display = 'block';
+        } else if (label) {
+          // Hide label if element has no rects anymore
+          label.style.display = 'none';
+        }
+      };
+
+      const throttleFunction = (func, delay) => {
+        let lastCall = 0;
+        return (...args) => {
+          const now = performance.now();
+          if (now - lastCall < delay) return;
+          lastCall = now;
+          return func(...args);
+        };
+      };
+
+      const throttledUpdatePositions = throttleFunction(updatePositions, 16); // ~60fps
+      window.addEventListener('scroll', throttledUpdatePositions, true);
+      window.addEventListener('resize', throttledUpdatePositions);
+      
+      // Add cleanup function
+      cleanupFn = () => {
+        window.removeEventListener('scroll', throttledUpdatePositions, true);
+        window.removeEventListener('resize', throttledUpdatePositions);
+        // Remove overlay elements if needed
+        overlays.forEach(overlay => overlay.element.remove());
+        if (label) label.remove();
+      };
+      
+      // Then add fragment to container in one operation
+      container.appendChild(fragment);
+      
+      return index + 1;
+    } finally {
+      popTiming('highlighting');
+      // Store cleanup function for later use
+      if (cleanupFn) {
+        // Keep a reference to cleanup functions in a global array
+        (window._highlightCleanupFunctions = window._highlightCleanupFunctions || []).push(cleanupFn);
+      }
+    }
+  }
+
+  // Add this function to perform cleanup when needed
+  function cleanupHighlights() {
+    if (window._highlightCleanupFunctions && window._highlightCleanupFunctions.length) {
+      window._highlightCleanupFunctions.forEach(fn => fn());
+      window._highlightCleanupFunctions = [];
+    }
+    
+    // Also remove the container
+    const container = document.getElementById(HIGHLIGHT_CONTAINER_ID);
+    if (container) container.remove();
+  }
+
+  function getElementPosition(currentElement) {
+    if (!currentElement.parentElement) {
+      return 0; // No parent means no siblings
+    }
+  
+    const tagName = currentElement.nodeName.toLowerCase();
+  
+    const siblings = Array.from(currentElement.parentElement.children)
+      .filter((sib) => sib.nodeName.toLowerCase() === tagName);
+  
+    if (siblings.length === 1) {
+      return 0; // Only element of its type
+    }
+  
+    const index = siblings.indexOf(currentElement) + 1; // 1-based index
+    return index;
+  }
+
+  /**
+   * Returns an XPath tree string for an element.
+   */
+  function getXPathTree(element, stopAtBoundary = true) {
+    if (xpathCache.has(element)) return xpathCache.get(element);
+    
+    const segments = [];
+    let currentElement = element;
+
+    while (currentElement && currentElement.nodeType === Node.ELEMENT_NODE) {
+      // Stop if we hit a shadow root or iframe
+      if (
+        stopAtBoundary &&
+        (currentElement.parentNode instanceof ShadowRoot ||
+          currentElement.parentNode instanceof HTMLIFrameElement)
+      ) {
+        break;
+      }
+
+      const position = getElementPosition(currentElement);
+      const tagName = currentElement.nodeName.toLowerCase();
+      const xpathIndex = position > 0 ? `[${position}]` : "";
+      segments.unshift(`${tagName}${xpathIndex}`);
+
+      currentElement = currentElement.parentNode;
+    }
+
+    const result = segments.join("/");
+    xpathCache.set(element, result);
+    return result;
+  }
+
+  /**
+   * Checks if a text node is visible.
+   */
+  function isTextNodeVisible(textNode) {
+    try {
+      // Special case: when viewportExpansion is -1, consider all text nodes as visible
+      if (viewportExpansion === -1) {
+        // Still check parent visibility for basic filtering
+        const parentElement = textNode.parentElement;
+        if (!parentElement) return false;
+
+        try {
+          return parentElement.checkVisibility({
+            checkOpacity: true,
+            checkVisibilityCSS: true,
+          });
+        } catch (e) {
+          // Fallback if checkVisibility is not supported
+          const style = window.getComputedStyle(parentElement);
+          return style.display !== 'none' &&
+            style.visibility !== 'hidden' &&
+            style.opacity !== '0';
+        }
+      }
+      
+      const range = document.createRange();
+      range.selectNodeContents(textNode);
+      const rects = range.getClientRects(); // Use getClientRects for Range
+
+      if (!rects || rects.length === 0) {
+        return false;
+      }
+
+      let isAnyRectVisible = false;
+      let isAnyRectInViewport = false;
+
+      for (const rect of rects) {
+        // Check size
+        if (rect.width > 0 && rect.height > 0) {
+          isAnyRectVisible = true;
+
+          // Viewport check for this rect
+          if (!(
+            rect.bottom < -viewportExpansion ||
+            rect.top > window.innerHeight + viewportExpansion ||
+            rect.right < -viewportExpansion ||
+            rect.left > window.innerWidth + viewportExpansion
+          )) {
+            isAnyRectInViewport = true;
+            break; // Found a visible rect in viewport, no need to check others
+          }
+        }
+      }
+
+      if (!isAnyRectVisible || !isAnyRectInViewport) {
+        return false;
+      }
+
+      // Check parent visibility
+      const parentElement = textNode.parentElement;
+      if (!parentElement) return false;
+
+      try {
+        return parentElement.checkVisibility({
+          checkOpacity: true,
+          checkVisibilityCSS: true,
+        });
+      } catch (e) {
+        // Fallback if checkVisibility is not supported
+        const style = window.getComputedStyle(parentElement);
+        return style.display !== 'none' &&
+          style.visibility !== 'hidden' &&
+          style.opacity !== '0';
+      }
+    } catch (e) {
+      console.warn('Error checking text node visibility:', e);
+      return false;
+    }
+  }
+
+  // Helper function to check if element is accepted
+  function isElementAccepted(element) {
+    if (!element || !element.tagName) return false;
+
+    // Always accept body and common container elements
+    const alwaysAccept = new Set([
+      "body", "div", "main", "article", "section", "nav", "header", "footer"
+    ]);
+    const tagName = element.tagName.toLowerCase();
+
+    if (alwaysAccept.has(tagName)) return true;
+
+    const leafElementDenyList = new Set([
+      "svg",
+      "script",
+      "style",
+      "link",
+      "meta",
+      "noscript",
+      "template",
+    ]);
+
+    return !leafElementDenyList.has(tagName);
+  }
+
+  /**
+   * Checks if an element is visible.
+   */
+  function isElementVisible(element) {
+    const style = getCachedComputedStyle(element);
+    return (
+      element.offsetWidth > 0 &&
+      element.offsetHeight > 0 &&
+      style.visibility !== "hidden" &&
+      style.display !== "none"
+    );
+  }
+
+  /**
+   * Checks if an element is interactive.
+   * 
+   * lots of comments, and uncommented code - to show the logic of what we already tried
+   * 
+   * One of the things we tried at the beginning was also to use event listeners, and other fancy class, style stuff -> what actually worked best was just combining most things with computed cursor style :)
+   */
+  function isInteractiveElement(element) {
+    if (!element || element.nodeType !== Node.ELEMENT_NODE) {
+      return false;
+    }
+
+    // Cache the tagName and style lookups
+    const tagName = element.tagName.toLowerCase();
+    const style = getCachedComputedStyle(element);
+
+    // Define interactive cursors
+    const interactiveCursors = new Set([
+      'pointer',    // Link/clickable elements
+      'move',       // Movable elements
+      'text',       // Text selection
+      'grab',       // Grabbable elements
+      'grabbing',   // Currently grabbing
+      'cell',       // Table cell selection
+      'copy',       // Copy operation
+      'alias',      // Alias creation
+      'all-scroll', // Scrollable content
+      'col-resize', // Column resize
+      'context-menu', // Context menu available
+      'crosshair',  // Precise selection
+      'e-resize',   // East resize
+      'ew-resize',  // East-west resize
+      'help',       // Help available
+      'n-resize',   // North resize
+      'ne-resize',  // Northeast resize
+      'nesw-resize', // Northeast-southwest resize
+      'ns-resize',  // North-south resize
+      'nw-resize',  // Northwest resize
+      'nwse-resize', // Northwest-southeast resize
+      'row-resize', // Row resize
+      's-resize',   // South resize
+      'se-resize',  // Southeast resize
+      'sw-resize',  // Southwest resize
+      'vertical-text', // Vertical text selection
+      'w-resize',   // West resize
+      'zoom-in',    // Zoom in
+      'zoom-out'    // Zoom out
+    ]);
+
+    // Define non-interactive cursors
+    const nonInteractiveCursors = new Set([
+      'not-allowed', // Action not allowed
+      'no-drop',     // Drop not allowed
+      'wait',        // Processing
+      'progress',    // In progress
+      'initial',     // Initial value
+      'inherit'      // Inherited value
+      //? Let's just include all potentially clickable elements that are not specifically blocked
+      // 'none',        // No cursor
+      // 'default',     // Default cursor 
+      // 'auto',        // Browser default
+    ]);
+
+    function doesElementHaveInteractivePointer(element) {
+      if (element.tagName.toLowerCase() === "html") return false;
+
+      if (interactiveCursors.has(style.cursor)) return true;
+
+      return false;
+    }
+
+    let isInteractiveCursor = doesElementHaveInteractivePointer(element);
+
+    // Genius fix for almost all interactive elements
+    if (isInteractiveCursor) {
+      return true;
+    }
+
+    const interactiveElements = new Set([
+      "a",          // Links
+      "button",     // Buttons
+      "input",      // All input types (text, checkbox, radio, etc.)
+      "select",     // Dropdown menus
+      "textarea",   // Text areas
+      "details",    // Expandable details
+      "summary",    // Summary element (clickable part of details)
+      "label",      // Form labels (often clickable)
+      "option",     // Select options
+      "optgroup",   // Option groups
+      "fieldset",   // Form fieldsets (can be interactive with legend)
+      "legend",     // Fieldset legends
+    ]);
+
+    // Define explicit disable attributes and properties
+    const explicitDisableTags = new Set([
+      'disabled',           // Standard disabled attribute
+      // 'aria-disabled',      // ARIA disabled state
+      'readonly',          // Read-only state
+      // 'aria-readonly',     // ARIA read-only state
+      // 'aria-hidden',       // Hidden from accessibility
+      // 'hidden',            // Hidden attribute
+      // 'inert',             // Inert attribute
+      // 'aria-inert',        // ARIA inert state
+      // 'tabindex="-1"',     // Removed from tab order
+      // 'aria-hidden="true"' // Hidden from screen readers
+    ]);
+
+    // handle inputs, select, checkbox, radio, textarea, button and make sure they are not cursor style disabled/not-allowed
+    if (interactiveElements.has(tagName)) {
+      // Check for non-interactive cursor
+      if (nonInteractiveCursors.has(style.cursor)) {
+        return false;
+      }
+
+      // Check for explicit disable attributes
+      for (const disableTag of explicitDisableTags) {
+        if (element.hasAttribute(disableTag) ||
+          element.getAttribute(disableTag) === 'true' ||
+          element.getAttribute(disableTag) === '') {
+          return false;
+        }
+      }
+
+      // Check for disabled property on form elements
+      if (element.disabled) {
+        return false;
+      }
+
+      // Check for readonly property on form elements
+      if (element.readOnly) {
+        return false;
+      }
+
+      // Check for inert property
+      if (element.inert) {
+        return false;
+      }
+
+      return true;
+    }
+
+    const role = element.getAttribute("role");
+    const ariaRole = element.getAttribute("aria-role");
+
+    // Check for contenteditable attribute
+    if (element.getAttribute("contenteditable") === "true" || element.isContentEditable) {
+      return true;
+    }
+    
+    // Added enhancement to capture dropdown interactive elements
+    if (element.classList && (
+      element.classList.contains("button") ||
+      element.classList.contains('dropdown-toggle') ||
+      element.getAttribute('data-index') ||
+      element.getAttribute('data-toggle') === 'dropdown' ||
+      element.getAttribute('aria-haspopup') === 'true'
+    )) {
+      return true;
+    }
+
+    const interactiveRoles = new Set([
+      'button',           // Directly clickable element
+      // 'link',            // Clickable link
+      // 'menuitem',        // Clickable menu item
+      'menuitemradio',   // Radio-style menu item (selectable)
+      'menuitemcheckbox', // Checkbox-style menu item (toggleable)
+      'radio',           // Radio button (selectable)
+      'checkbox',        // Checkbox (toggleable)
+      'tab',             // Tab (clickable to switch content)
+      'switch',          // Toggle switch (clickable to change state)
+      'slider',          // Slider control (draggable)
+      'spinbutton',      // Number input with up/down controls
+      'combobox',        // Dropdown with text input
+      'searchbox',       // Search input field
+      'textbox',         // Text input field
+      // 'listbox',         // Selectable list
+      'option',          // Selectable option in a list
+      'scrollbar'        // Scrollable control
+    ]);
+
+    // Basic role/attribute checks
+    const hasInteractiveRole =
+      interactiveElements.has(tagName) ||
+      interactiveRoles.has(role) ||
+      interactiveRoles.has(ariaRole);
+
+    if (hasInteractiveRole) return true;
+
+    // check whether element has event listeners
+    try {
+      if (typeof getEventListeners === 'function') {
+        const listeners = getEventListeners(element);
+        const mouseEvents = ['click', 'mousedown', 'mouseup', 'dblclick'];
+        for (const eventType of mouseEvents) {
+          if (listeners[eventType] && listeners[eventType].length > 0) {
+            return true; // Found a mouse interaction listener
+          }
+        }
+      } else {
+        // Fallback: Check common event attributes if getEventListeners is not available
+        const commonMouseAttrs = ['onclick', 'onmousedown', 'onmouseup', 'ondblclick'];
+        if (commonMouseAttrs.some(attr => element.hasAttribute(attr))) {
+          return true;
+        }
+      }
+    } catch (e) {
+      // console.warn(`Could not check event listeners for ${element.tagName}:`, e);
+      // If checking listeners fails, rely on other checks
+    }
+
+    return false
+  }
+
+
+  /**
+   * Checks if an element is the topmost element at its position.
+   */
+  function isTopElement(element) {
+    // Special case: when viewportExpansion is -1, consider all elements as "top" elements
+    if (viewportExpansion === -1) {
+      return true;
+    }
+    
+    const rects = getCachedClientRects(element); // Replace element.getClientRects()
+
+    if (!rects || rects.length === 0) {
+      return false; // No geometry, cannot be top
+    }
+
+    let isAnyRectInViewport = false;
+    for (const rect of rects) {
+      // Use the same logic as isInExpandedViewport check
+      if (rect.width > 0 && rect.height > 0 && !( // Only check non-empty rects
+        rect.bottom < -viewportExpansion ||
+        rect.top > window.innerHeight + viewportExpansion ||
+        rect.right < -viewportExpansion ||
+        rect.left > window.innerWidth + viewportExpansion
+      )) {
+        isAnyRectInViewport = true;
+        break;
+      }
+    }
+
+    if (!isAnyRectInViewport) {
+      return false; // All rects are outside the viewport area
+    }
+
+
+    // Find the correct document context and root element
+    let doc = element.ownerDocument;
+
+    // If we're in an iframe, elements are considered top by default
+    if (doc !== window.document) {
+      return true;
+    }
+
+    // For shadow DOM, we need to check within its own root context
+    const shadowRoot = element.getRootNode();
+    if (shadowRoot instanceof ShadowRoot) {
+      const centerX = rects[Math.floor(rects.length / 2)].left + rects[Math.floor(rects.length / 2)].width / 2;
+      const centerY = rects[Math.floor(rects.length / 2)].top + rects[Math.floor(rects.length / 2)].height / 2;
+
+      try {
+        const topEl = measureDomOperation(
+          () => shadowRoot.elementFromPoint(centerX, centerY),
+          'elementFromPoint'
+        );
+        if (!topEl) return false;
+
+        let current = topEl;
+        while (current && current !== shadowRoot) {
+          if (current === element) return true;
+          current = current.parentElement;
+        }
+        return false;
+      } catch (e) {
+        return true;
+      }
+    }
+
+    // For elements in viewport, check if they're topmost
+    const centerX = rects[Math.floor(rects.length / 2)].left + rects[Math.floor(rects.length / 2)].width / 2;
+    const centerY = rects[Math.floor(rects.length / 2)].top + rects[Math.floor(rects.length / 2)].height / 2;
+
+    try {
+      const topEl = document.elementFromPoint(centerX, centerY);
+      if (!topEl) return false;
+
+      let current = topEl;
+      while (current && current !== document.documentElement) {
+        if (current === element) return true;
+        current = current.parentElement;
+      }
+      return false;
+    } catch (e) {
+      return true;
+    }
+  }
+
+  /**
+   * Checks if an element is within the expanded viewport.
+   */
+  function isInExpandedViewport(element, viewportExpansion) {
+    if (viewportExpansion === -1) {
+      return true;
+    }
+
+    const rects = element.getClientRects(); // Use getClientRects
+
+    if (!rects || rects.length === 0) {
+      // Fallback to getBoundingClientRect if getClientRects is empty,
+      // useful for elements like <svg> that might not have client rects but have a bounding box.
+      const boundingRect = getCachedBoundingRect(element);
+      if (!boundingRect || boundingRect.width === 0 || boundingRect.height === 0) {
+        return false;
+      }
+      return !(
+        boundingRect.bottom < -viewportExpansion ||
+        boundingRect.top > window.innerHeight + viewportExpansion ||
+        boundingRect.right < -viewportExpansion ||
+        boundingRect.left > window.innerWidth + viewportExpansion
+      );
+    }
+
+    // Check if *any* client rect is within the viewport
+    for (const rect of rects) {
+      if (rect.width === 0 || rect.height === 0) continue; // Skip empty rects
+
+      if (!(
+        rect.bottom < -viewportExpansion ||
+        rect.top > window.innerHeight + viewportExpansion ||
+        rect.right < -viewportExpansion ||
+        rect.left > window.innerWidth + viewportExpansion
+      )) {
+        return true; // Found at least one rect in the viewport
+      }
+    }
+
+    return false; // No rects were found in the viewport
+  }
+
+  // Add this new helper function
+  function getEffectiveScroll(element) {
+    let currentEl = element;
+    let scrollX = 0;
+    let scrollY = 0;
+
+    return measureDomOperation(() => {
+      while (currentEl && currentEl !== document.documentElement) {
+        if (currentEl.scrollLeft || currentEl.scrollTop) {
+          scrollX += currentEl.scrollLeft;
+          scrollY += currentEl.scrollTop;
+        }
+        currentEl = currentEl.parentElement;
+      }
+
+      scrollX += window.scrollX;
+      scrollY += window.scrollY;
+
+      return { scrollX, scrollY };
+    }, 'scrollOperations');
+  }
+
+  // Add these helper functions at the top level
+  function isInteractiveCandidate(element) {
+    if (!element || element.nodeType !== Node.ELEMENT_NODE) return false;
+
+    const tagName = element.tagName.toLowerCase();
+
+    // Fast-path for common interactive elements
+    const interactiveElements = new Set([
+      "a", "button", "input", "select", "textarea", "details", "summary"
+    ]);
+
+    if (interactiveElements.has(tagName)) return true;
+
+    // Quick attribute checks without getting full lists
+    const hasQuickInteractiveAttr = element.hasAttribute("onclick") ||
+      element.hasAttribute("role") ||
+      element.hasAttribute("tabindex") ||
+      element.hasAttribute("aria-") ||
+      element.hasAttribute("data-action") ||
+      element.getAttribute("contenteditable") === "true";
+
+    return hasQuickInteractiveAttr;
+  }
+
+  // --- Define constants for distinct interaction check ---
+  const DISTINCT_INTERACTIVE_TAGS = new Set([
+    'a', 'button', 'input', 'select', 'textarea', 'summary', 'details', 'label', 'option'
+  ]);
+  const INTERACTIVE_ROLES = new Set([
+    'button', 'link', 'menuitem', 'menuitemradio', 'menuitemcheckbox',
+    'radio', 'checkbox', 'tab', 'switch', 'slider', 'spinbutton',
+    'combobox', 'searchbox', 'textbox', 'listbox', 'option', 'scrollbar'
+  ]);
+
+  /**
+   * Checks if an element likely represents a distinct interaction
+   * separate from its parent (if the parent is also interactive).
+   */
+  function isElementDistinctInteraction(element) {
+    if (!element || element.nodeType !== Node.ELEMENT_NODE) {
+      return false;
+    }
+
+    const tagName = element.tagName.toLowerCase();
+    const role = element.getAttribute('role');
+
+    // Check if it's an iframe - always distinct boundary
+    if (tagName === 'iframe') {
+      return true;
+    }
+
+    // Check tag name
+    if (DISTINCT_INTERACTIVE_TAGS.has(tagName)) {
+      return true;
+    }
+    // Check interactive roles
+    if (role && INTERACTIVE_ROLES.has(role)) {
+      return true;
+    }
+    // Check contenteditable
+    if (element.isContentEditable || element.getAttribute('contenteditable') === 'true') {
+      return true;
+    }
+    // Check for common testing/automation attributes
+    if (element.hasAttribute('data-testid') || element.hasAttribute('data-cy') || element.hasAttribute('data-test')) {
+      return true;
+    }
+    // Check for explicit onclick handler (attribute or property)
+    if (element.hasAttribute('onclick') || typeof element.onclick === 'function') {
+      return true;
+    }
+    // Check for other common interaction event listeners
+    try {
+      const getEventListeners = window.getEventListenersForNode;
+      if (typeof getEventListeners === 'function') {
+        const listeners = getEventListeners(element);
+        const interactionEvents = ['mousedown', 'mouseup', 'keydown', 'keyup', 'submit', 'change', 'input', 'focus', 'blur'];
+        for (const eventType of interactionEvents) {
+          if (listeners[eventType] && listeners[eventType].length > 0) {
+            return true; // Found a common interaction listener
+          }
+        }
+      } else {
+        // Fallback: Check common event attributes if getEventListeners is not available
+        const commonEventAttrs = ['onmousedown', 'onmouseup', 'onkeydown', 'onkeyup', 'onsubmit', 'onchange', 'oninput', 'onfocus', 'onblur'];
+        if (commonEventAttrs.some(attr => element.hasAttribute(attr))) {
+          return true;
+        }
+      }
+    } catch (e) {
+      // console.warn(`Could not check event listeners for ${element.tagName}:`, e);
+      // If checking listeners fails, rely on other checks
+    }
+
+
+    // Default to false: if it's interactive but doesn't match above,
+    // assume it triggers the same action as the parent.
+    return false;
+  }
+  // --- End distinct interaction check ---
+
+  /**
+   * Handles the logic for deciding whether to highlight an element and performing the highlight.
+   */
+  function handleHighlighting(nodeData, node, parentIframe, isParentHighlighted) {
+    if (!nodeData.isInteractive) return false; // Not interactive, definitely don't highlight
+
+    let shouldHighlight = false;
+    if (!isParentHighlighted) {
+      // Parent wasn't highlighted, this interactive node can be highlighted.
+      shouldHighlight = true;
+    } else {
+      // Parent *was* highlighted. Only highlight this node if it represents a distinct interaction.
+      if (isElementDistinctInteraction(node)) {
+        shouldHighlight = true;
+      } else {
+        // console.log(`Skipping highlight for ${nodeData.tagName} (parent highlighted)`);
+        shouldHighlight = false;
+      }
+    }
+
+    if (shouldHighlight) {
+      // Check viewport status before assigning index and highlighting
+      nodeData.isInViewport = isInExpandedViewport(node, viewportExpansion);
+      
+      // When viewportExpansion is -1, all interactive elements should get a highlight index
+      // regardless of viewport status
+      if (nodeData.isInViewport || viewportExpansion === -1) {
+        nodeData.highlightIndex = highlightIndex++;
+
+        if (doHighlightElements) {
+          if (focusHighlightIndex >= 0) {
+            if (focusHighlightIndex === nodeData.highlightIndex) {
+              highlightElement(node, nodeData.highlightIndex, parentIframe);
+            }
+          } else {
+            highlightElement(node, nodeData.highlightIndex, parentIframe);
+          }
+          return true; // Successfully highlighted
+        }
+      } else {
+        // console.log(`Skipping highlight for ${nodeData.tagName} (outside viewport)`);
+      }
+    }
+
+    return false; // Did not highlight
+  }
+
+  /**
+   * Creates a node data object for a given node and its descendants.
+   */
+  function buildDomTree(node, parentIframe = null, isParentHighlighted = false) {
+    // Fast rejection checks first
+    if (!node || node.id === HIGHLIGHT_CONTAINER_ID || 
+        (node.nodeType !== Node.ELEMENT_NODE && node.nodeType !== Node.TEXT_NODE)) {
+      if (debugMode) PERF_METRICS.nodeMetrics.skippedNodes++;
+      return null;
+    }
+
+    if (debugMode) PERF_METRICS.nodeMetrics.totalNodes++;
+
+    if (!node || node.id === HIGHLIGHT_CONTAINER_ID) {
+      if (debugMode) PERF_METRICS.nodeMetrics.skippedNodes++;
+      return null;
+    }
+
+    // Special handling for root node (body)
+    if (node === document.body) {
+      const nodeData = {
+        tagName: 'body',
+        attributes: {},
+        xpath: '/body',
+        children: [],
+      };
+
+      // Process children of body
+      for (const child of node.childNodes) {
+        const domElement = buildDomTree(child, parentIframe, false); // Body's children have no highlighted parent initially
+        if (domElement) nodeData.children.push(domElement);
+      }
+
+      const id = `${ID.current++}`;
+      DOM_HASH_MAP[id] = nodeData;
+      if (debugMode) PERF_METRICS.nodeMetrics.processedNodes++;
+      return id;
+    }
+
+    // Early bailout for non-element nodes except text
+    if (node.nodeType !== Node.ELEMENT_NODE && node.nodeType !== Node.TEXT_NODE) {
+      if (debugMode) PERF_METRICS.nodeMetrics.skippedNodes++;
+      return null;
+    }
+
+    // Process text nodes
+    if (node.nodeType === Node.TEXT_NODE) {
+      const textContent = node.textContent.trim();
+      if (!textContent) {
+        if (debugMode) PERF_METRICS.nodeMetrics.skippedNodes++;
+        return null;
+      }
+
+      // Only check visibility for text nodes that might be visible
+      const parentElement = node.parentElement;
+      if (!parentElement || parentElement.tagName.toLowerCase() === 'script') {
+        if (debugMode) PERF_METRICS.nodeMetrics.skippedNodes++;
+        return null;
+      }
+
+      const id = `${ID.current++}`;
+      DOM_HASH_MAP[id] = {
+        type: "TEXT_NODE",
+        text: textContent,
+        isVisible: isTextNodeVisible(node),
+      };
+      if (debugMode) PERF_METRICS.nodeMetrics.processedNodes++;
+      return id;
+    }
+
+    // Quick checks for element nodes
+    if (node.nodeType === Node.ELEMENT_NODE && !isElementAccepted(node)) {
+      if (debugMode) PERF_METRICS.nodeMetrics.skippedNodes++;
+      return null;
+    }
+
+    // Early viewport check - only filter out elements clearly outside viewport
+    if (viewportExpansion !== -1) {
+      const rect = getCachedBoundingRect(node); // Keep for initial quick check
+      const style = getCachedComputedStyle(node);
+
+      // Skip viewport check for fixed/sticky elements as they may appear anywhere
+      const isFixedOrSticky = style && (style.position === 'fixed' || style.position === 'sticky');
+
+      // Check if element has actual dimensions using offsetWidth/Height (quick check)
+      const hasSize = node.offsetWidth > 0 || node.offsetHeight > 0;
+
+      // Use getBoundingClientRect for the quick OUTSIDE check.
+      // isInExpandedViewport will do the more accurate check later if needed.
+      if (!rect || (!isFixedOrSticky && !hasSize && (
+        rect.bottom < -viewportExpansion ||
+        rect.top > window.innerHeight + viewportExpansion ||
+        rect.right < -viewportExpansion ||
+        rect.left > window.innerWidth + viewportExpansion
+      ))) {
+        // console.log("Skipping node outside viewport (quick check):", node.tagName, rect);
+        if (debugMode) PERF_METRICS.nodeMetrics.skippedNodes++;
+        return null;
+      }
+    }
+
+    // Process element node
+    const nodeData = {
+      tagName: node.tagName.toLowerCase(),
+      attributes: {},
+      xpath: getXPathTree(node, true),
+      children: [],
+    };
+
+    // Get attributes for interactive elements or potential text containers
+    if (isInteractiveCandidate(node) || node.tagName.toLowerCase() === 'iframe' || node.tagName.toLowerCase() === 'body') {
+      const attributeNames = node.getAttributeNames?.() || [];
+      for (const name of attributeNames) {
+        nodeData.attributes[name] = node.getAttribute(name);
+      }
+    }
+
+    let nodeWasHighlighted = false;
+    // Perform visibility, interactivity, and highlighting checks
+    if (node.nodeType === Node.ELEMENT_NODE) {
+      nodeData.isVisible = isElementVisible(node); // isElementVisible uses offsetWidth/Height, which is fine
+      if (nodeData.isVisible) {
+        nodeData.isTopElement = isTopElement(node);
+        if (nodeData.isTopElement) {
+          nodeData.isInteractive = isInteractiveElement(node);
+          // Call the dedicated highlighting function
+          nodeWasHighlighted = handleHighlighting(nodeData, node, parentIframe, isParentHighlighted);
+        }
+      }
+    }
+
+    // Process children, with special handling for iframes and rich text editors
+    if (node.tagName) {
+      const tagName = node.tagName.toLowerCase();
+
+      // Handle iframes
+      if (tagName === "iframe") {
+        try {
+          const iframeDoc = node.contentDocument || node.contentWindow?.document;
+          if (iframeDoc) {
+            for (const child of iframeDoc.childNodes) {
+              const domElement = buildDomTree(child, node, false);
+              if (domElement) nodeData.children.push(domElement);
+            }
+          }
+        } catch (e) {
+          console.warn("Unable to access iframe:", e);
+        }
+      }
+      // Handle rich text editors and contenteditable elements
+      else if (
+        node.isContentEditable ||
+        node.getAttribute("contenteditable") === "true" ||
+        node.id === "tinymce" ||
+        node.classList.contains("mce-content-body") ||
+        (tagName === "body" && node.getAttribute("data-id")?.startsWith("mce_"))
+      ) {
+        // Process all child nodes to capture formatted text
+        for (const child of node.childNodes) {
+          const domElement = buildDomTree(child, parentIframe, nodeWasHighlighted);
+          if (domElement) nodeData.children.push(domElement);
+        }
+      }
+      else {
+        // Handle shadow DOM
+        if (node.shadowRoot) {
+          nodeData.shadowRoot = true;
+          for (const child of node.shadowRoot.childNodes) {
+            const domElement = buildDomTree(child, parentIframe, nodeWasHighlighted);
+            if (domElement) nodeData.children.push(domElement);
+          }
+        }
+        // Handle regular elements
+        for (const child of node.childNodes) {
+          // Pass the highlighted status of the *current* node to its children
+          const passHighlightStatusToChild = nodeWasHighlighted || isParentHighlighted;
+          const domElement = buildDomTree(child, parentIframe, passHighlightStatusToChild);
+          if (domElement) nodeData.children.push(domElement);
+        }
+      }
+    }
+
+    // Skip empty anchor tags
+    if (nodeData.tagName === 'a' && nodeData.children.length === 0 && !nodeData.attributes.href) {
+      if (debugMode) PERF_METRICS.nodeMetrics.skippedNodes++;
+      return null;
+    }
+
+    const id = `${ID.current++}`;
+    DOM_HASH_MAP[id] = nodeData;
+    if (debugMode) PERF_METRICS.nodeMetrics.processedNodes++;
+    return id;
+  }
+
+  // After all functions are defined, wrap them with performance measurement
+  // Remove buildDomTree from here as we measure it separately
+  highlightElement = measureTime(highlightElement);
+  isInteractiveElement = measureTime(isInteractiveElement);
+  isElementVisible = measureTime(isElementVisible);
+  isTopElement = measureTime(isTopElement);
+  isInExpandedViewport = measureTime(isInExpandedViewport);
+  isTextNodeVisible = measureTime(isTextNodeVisible);
+  getEffectiveScroll = measureTime(getEffectiveScroll);
+
+  const rootId = buildDomTree(document.body);
+
+  // Clear the cache before starting
+  DOM_CACHE.clearCache();
+
+  // Only process metrics in debug mode
+  if (debugMode && PERF_METRICS) {
+    // Convert timings to seconds and add useful derived metrics
+    Object.keys(PERF_METRICS.timings).forEach(key => {
+      PERF_METRICS.timings[key] = PERF_METRICS.timings[key] / 1000;
+    });
+
+    Object.keys(PERF_METRICS.buildDomTreeBreakdown).forEach(key => {
+      if (typeof PERF_METRICS.buildDomTreeBreakdown[key] === 'number') {
+        PERF_METRICS.buildDomTreeBreakdown[key] = PERF_METRICS.buildDomTreeBreakdown[key] / 1000;
+      }
+    });
+
+    // Add some useful derived metrics
+    if (PERF_METRICS.buildDomTreeBreakdown.buildDomTreeCalls > 0) {
+      PERF_METRICS.buildDomTreeBreakdown.averageTimePerNode =
+        PERF_METRICS.buildDomTreeBreakdown.totalTime / PERF_METRICS.buildDomTreeBreakdown.buildDomTreeCalls;
+    }
+
+    PERF_METRICS.buildDomTreeBreakdown.timeInChildCalls =
+      PERF_METRICS.buildDomTreeBreakdown.totalTime - PERF_METRICS.buildDomTreeBreakdown.totalSelfTime;
+
+    // Add average time per operation to the metrics
+    Object.keys(PERF_METRICS.buildDomTreeBreakdown.domOperations).forEach(op => {
+      const time = PERF_METRICS.buildDomTreeBreakdown.domOperations[op];
+      const count = PERF_METRICS.buildDomTreeBreakdown.domOperationCounts[op];
+      if (count > 0) {
+        PERF_METRICS.buildDomTreeBreakdown.domOperations[`${op}Average`] = time / count;
+      }
+    });
+
+    // Calculate cache hit rates
+    const boundingRectTotal = PERF_METRICS.cacheMetrics.boundingRectCacheHits + PERF_METRICS.cacheMetrics.boundingRectCacheMisses;
+    const computedStyleTotal = PERF_METRICS.cacheMetrics.computedStyleCacheHits + PERF_METRICS.cacheMetrics.computedStyleCacheMisses;
+
+    if (boundingRectTotal > 0) {
+      PERF_METRICS.cacheMetrics.boundingRectHitRate = PERF_METRICS.cacheMetrics.boundingRectCacheHits / boundingRectTotal;
+    }
+
+    if (computedStyleTotal > 0) {
+      PERF_METRICS.cacheMetrics.computedStyleHitRate = PERF_METRICS.cacheMetrics.computedStyleCacheHits / computedStyleTotal;
+    }
+
+    if ((boundingRectTotal + computedStyleTotal) > 0) {
+      PERF_METRICS.cacheMetrics.overallHitRate =
+        (PERF_METRICS.cacheMetrics.boundingRectCacheHits + PERF_METRICS.cacheMetrics.computedStyleCacheHits) /
+        (boundingRectTotal + computedStyleTotal);
+    }
+  }
+
+  return debugMode ?
+    { rootId, map: DOM_HASH_MAP, perfMetrics: PERF_METRICS } :
+    { rootId, map: DOM_HASH_MAP };
+};
diff --git a/src/browser_use/dom/clickable_element_processor/service.py b/src/browser_use/dom/clickable_element_processor/service.py
new file mode 100644
index 00000000..dd2da869
--- /dev/null
+++ b/src/browser_use/dom/clickable_element_processor/service.py
@@ -0,0 +1,70 @@
+import hashlib
+
+from browser_use.dom.views import DOMElementNode
+
+
+class ClickableElementProcessor:
+	@staticmethod
+	def get_clickable_elements_hashes(dom_element: DOMElementNode) -> set[str]:
+		"""Get all clickable elements in the DOM tree"""
+		clickable_elements = ClickableElementProcessor.get_clickable_elements(dom_element)
+		return {ClickableElementProcessor.hash_dom_element(element) for element in clickable_elements}
+
+	@staticmethod
+	def get_clickable_elements(dom_element: DOMElementNode) -> list[DOMElementNode]:
+		"""Get all clickable elements in the DOM tree"""
+		clickable_elements = list()
+		for child in dom_element.children:
+			if isinstance(child, DOMElementNode):
+				if child.highlight_index:
+					clickable_elements.append(child)
+
+				clickable_elements.extend(ClickableElementProcessor.get_clickable_elements(child))
+
+		return list(clickable_elements)
+
+	@staticmethod
+	def hash_dom_element(dom_element: DOMElementNode) -> str:
+		parent_branch_path = ClickableElementProcessor._get_parent_branch_path(dom_element)
+		branch_path_hash = ClickableElementProcessor._parent_branch_path_hash(parent_branch_path)
+		attributes_hash = ClickableElementProcessor._attributes_hash(dom_element.attributes)
+		xpath_hash = ClickableElementProcessor._xpath_hash(dom_element.xpath)
+		# text_hash = DomTreeProcessor._text_hash(dom_element)
+
+		return ClickableElementProcessor._hash_string(f'{branch_path_hash}-{attributes_hash}-{xpath_hash}')
+
+	@staticmethod
+	def _get_parent_branch_path(dom_element: DOMElementNode) -> list[str]:
+		parents: list[DOMElementNode] = []
+		current_element: DOMElementNode = dom_element
+		while current_element.parent is not None:
+			parents.append(current_element)
+			current_element = current_element.parent
+
+		parents.reverse()
+
+		return [parent.tag_name for parent in parents]
+
+	@staticmethod
+	def _parent_branch_path_hash(parent_branch_path: list[str]) -> str:
+		parent_branch_path_string = '/'.join(parent_branch_path)
+		return hashlib.sha256(parent_branch_path_string.encode()).hexdigest()
+
+	@staticmethod
+	def _attributes_hash(attributes: dict[str, str]) -> str:
+		attributes_string = ''.join(f'{key}={value}' for key, value in attributes.items())
+		return ClickableElementProcessor._hash_string(attributes_string)
+
+	@staticmethod
+	def _xpath_hash(xpath: str) -> str:
+		return ClickableElementProcessor._hash_string(xpath)
+
+	@staticmethod
+	def _text_hash(dom_element: DOMElementNode) -> str:
+		""" """
+		text_string = dom_element.get_all_text_till_next_clickable_element()
+		return ClickableElementProcessor._hash_string(text_string)
+
+	@staticmethod
+	def _hash_string(string: str) -> str:
+		return hashlib.sha256(string.encode()).hexdigest()
diff --git a/src/browser_use/dom/history_tree_processor/service.py b/src/browser_use/dom/history_tree_processor/service.py
new file mode 100644
index 00000000..816b2fdd
--- /dev/null
+++ b/src/browser_use/dom/history_tree_processor/service.py
@@ -0,0 +1,106 @@
+import hashlib
+
+from browser_use.dom.history_tree_processor.view import DOMHistoryElement, HashedDomElement
+from browser_use.dom.views import DOMElementNode
+
+
+class HistoryTreeProcessor:
+	""" "
+	Operations on the DOM elements
+
+	@dev be careful - text nodes can change even if elements stay the same
+	"""
+
+	@staticmethod
+	def convert_dom_element_to_history_element(dom_element: DOMElementNode) -> DOMHistoryElement:
+		from browser_use.browser.context import BrowserContext
+
+		parent_branch_path = HistoryTreeProcessor._get_parent_branch_path(dom_element)
+		css_selector = BrowserContext._enhanced_css_selector_for_element(dom_element)
+		return DOMHistoryElement(
+			dom_element.tag_name,
+			dom_element.xpath,
+			dom_element.highlight_index,
+			parent_branch_path,
+			dom_element.attributes,
+			dom_element.shadow_root,
+			css_selector=css_selector,
+			page_coordinates=dom_element.page_coordinates,
+			viewport_coordinates=dom_element.viewport_coordinates,
+			viewport_info=dom_element.viewport_info,
+		)
+
+	@staticmethod
+	def find_history_element_in_tree(dom_history_element: DOMHistoryElement, tree: DOMElementNode) -> DOMElementNode | None:
+		hashed_dom_history_element = HistoryTreeProcessor._hash_dom_history_element(dom_history_element)
+
+		def process_node(node: DOMElementNode):
+			if node.highlight_index is not None:
+				hashed_node = HistoryTreeProcessor._hash_dom_element(node)
+				if hashed_node == hashed_dom_history_element:
+					return node
+			for child in node.children:
+				if isinstance(child, DOMElementNode):
+					result = process_node(child)
+					if result is not None:
+						return result
+			return None
+
+		return process_node(tree)
+
+	@staticmethod
+	def compare_history_element_and_dom_element(dom_history_element: DOMHistoryElement, dom_element: DOMElementNode) -> bool:
+		hashed_dom_history_element = HistoryTreeProcessor._hash_dom_history_element(dom_history_element)
+		hashed_dom_element = HistoryTreeProcessor._hash_dom_element(dom_element)
+
+		return hashed_dom_history_element == hashed_dom_element
+
+	@staticmethod
+	def _hash_dom_history_element(dom_history_element: DOMHistoryElement) -> HashedDomElement:
+		branch_path_hash = HistoryTreeProcessor._parent_branch_path_hash(dom_history_element.entire_parent_branch_path)
+		attributes_hash = HistoryTreeProcessor._attributes_hash(dom_history_element.attributes)
+		xpath_hash = HistoryTreeProcessor._xpath_hash(dom_history_element.xpath)
+
+		return HashedDomElement(branch_path_hash, attributes_hash, xpath_hash)
+
+	@staticmethod
+	def _hash_dom_element(dom_element: DOMElementNode) -> HashedDomElement:
+		parent_branch_path = HistoryTreeProcessor._get_parent_branch_path(dom_element)
+		branch_path_hash = HistoryTreeProcessor._parent_branch_path_hash(parent_branch_path)
+		attributes_hash = HistoryTreeProcessor._attributes_hash(dom_element.attributes)
+		xpath_hash = HistoryTreeProcessor._xpath_hash(dom_element.xpath)
+		# text_hash = DomTreeProcessor._text_hash(dom_element)
+
+		return HashedDomElement(branch_path_hash, attributes_hash, xpath_hash)
+
+	@staticmethod
+	def _get_parent_branch_path(dom_element: DOMElementNode) -> list[str]:
+		parents: list[DOMElementNode] = []
+		current_element: DOMElementNode = dom_element
+		while current_element.parent is not None:
+			parents.append(current_element)
+			current_element = current_element.parent
+
+		parents.reverse()
+
+		return [parent.tag_name for parent in parents]
+
+	@staticmethod
+	def _parent_branch_path_hash(parent_branch_path: list[str]) -> str:
+		parent_branch_path_string = '/'.join(parent_branch_path)
+		return hashlib.sha256(parent_branch_path_string.encode()).hexdigest()
+
+	@staticmethod
+	def _attributes_hash(attributes: dict[str, str]) -> str:
+		attributes_string = ''.join(f'{key}={value}' for key, value in attributes.items())
+		return hashlib.sha256(attributes_string.encode()).hexdigest()
+
+	@staticmethod
+	def _xpath_hash(xpath: str) -> str:
+		return hashlib.sha256(xpath.encode()).hexdigest()
+
+	@staticmethod
+	def _text_hash(dom_element: DOMElementNode) -> str:
+		""" """
+		text_string = dom_element.get_all_text_till_next_clickable_element()
+		return hashlib.sha256(text_string.encode()).hexdigest()
diff --git a/src/browser_use/dom/history_tree_processor/view.py b/src/browser_use/dom/history_tree_processor/view.py
new file mode 100644
index 00000000..2984d4ae
--- /dev/null
+++ b/src/browser_use/dom/history_tree_processor/view.py
@@ -0,0 +1,69 @@
+from dataclasses import dataclass
+
+from pydantic import BaseModel
+
+
+@dataclass
+class HashedDomElement:
+	"""
+	Hash of the dom element to be used as a unique identifier
+	"""
+
+	branch_path_hash: str
+	attributes_hash: str
+	xpath_hash: str
+	# text_hash: str
+
+
+class Coordinates(BaseModel):
+	x: int
+	y: int
+
+
+class CoordinateSet(BaseModel):
+	top_left: Coordinates
+	top_right: Coordinates
+	bottom_left: Coordinates
+	bottom_right: Coordinates
+	center: Coordinates
+	width: int
+	height: int
+
+
+class ViewportInfo(BaseModel):
+	scroll_x: int
+	scroll_y: int
+	width: int
+	height: int
+
+
+@dataclass
+class DOMHistoryElement:
+	tag_name: str
+	xpath: str
+	highlight_index: int | None
+	entire_parent_branch_path: list[str]
+	attributes: dict[str, str]
+	shadow_root: bool = False
+	css_selector: str | None = None
+	page_coordinates: CoordinateSet | None = None
+	viewport_coordinates: CoordinateSet | None = None
+	viewport_info: ViewportInfo | None = None
+
+	def to_dict(self) -> dict:
+		page_coordinates = self.page_coordinates.model_dump() if self.page_coordinates else None
+		viewport_coordinates = self.viewport_coordinates.model_dump() if self.viewport_coordinates else None
+		viewport_info = self.viewport_info.model_dump() if self.viewport_info else None
+
+		return {
+			'tag_name': self.tag_name,
+			'xpath': self.xpath,
+			'highlight_index': self.highlight_index,
+			'entire_parent_branch_path': self.entire_parent_branch_path,
+			'attributes': self.attributes,
+			'shadow_root': self.shadow_root,
+			'css_selector': self.css_selector,
+			'page_coordinates': page_coordinates,
+			'viewport_coordinates': viewport_coordinates,
+			'viewport_info': viewport_info,
+		}
diff --git a/src/browser_use/dom/service.py b/src/browser_use/dom/service.py
new file mode 100644
index 00000000..e75bc62b
--- /dev/null
+++ b/src/browser_use/dom/service.py
@@ -0,0 +1,203 @@
+import json
+import logging
+from dataclasses import dataclass
+from importlib import resources
+from typing import TYPE_CHECKING
+from urllib.parse import urlparse
+
+if TYPE_CHECKING:
+	from playwright.async_api import Page
+
+from browser_use.dom.views import (
+	DOMBaseNode,
+	DOMElementNode,
+	DOMState,
+	DOMTextNode,
+	SelectorMap,
+)
+from browser_use.utils import time_execution_async
+
+logger = logging.getLogger(__name__)
+
+
+@dataclass
+class ViewportInfo:
+	width: int
+	height: int
+
+
+class DomService:
+	def __init__(self, page: 'Page'):
+		self.page = page
+		self.xpath_cache = {}
+
+		self.js_code = resources.files('browser_use.dom').joinpath('buildDomTree.js').read_text()
+
+	# region - Clickable elements
+	@time_execution_async('--get_clickable_elements')
+	async def get_clickable_elements(
+		self,
+		highlight_elements: bool = True,
+		focus_element: int = -1,
+		viewport_expansion: int = 0,
+	) -> DOMState:
+		element_tree, selector_map = await self._build_dom_tree(highlight_elements, focus_element, viewport_expansion)
+		return DOMState(element_tree=element_tree, selector_map=selector_map)
+
+	@time_execution_async('--get_cross_origin_iframes')
+	async def get_cross_origin_iframes(self) -> list[str]:
+		# invisible cross-origin iframes are used for ads and tracking, dont open those
+		hidden_frame_urls = await self.page.locator('iframe').filter(visible=False).evaluate_all('e => e.map(e => e.src)')
+
+		is_ad_url = lambda url: any(
+			domain in urlparse(url).netloc for domain in ('doubleclick.net', 'adroll.com', 'googletagmanager.com')
+		)
+
+		return [
+			frame.url
+			for frame in self.page.frames
+			if urlparse(frame.url).netloc  # exclude data:urls and about:blank
+			and urlparse(frame.url).netloc != urlparse(self.page.url).netloc  # exclude same-origin iframes
+			and frame.url not in hidden_frame_urls  # exclude hidden frames
+			and not is_ad_url(frame.url)  # exclude most common ad network tracker frame URLs
+		]
+
+	@time_execution_async('--build_dom_tree')
+	async def _build_dom_tree(
+		self,
+		highlight_elements: bool,
+		focus_element: int,
+		viewport_expansion: int,
+	) -> tuple[DOMElementNode, SelectorMap]:
+		if await self.page.evaluate('1+1') != 2:
+			raise ValueError('The page cannot evaluate javascript code properly')
+
+		if self.page.url == 'about:blank':
+			# short-circuit if the page is a new empty tab for speed, no need to inject buildDomTree.js
+			return (
+				DOMElementNode(
+					tag_name='body',
+					xpath='',
+					attributes={},
+					children=[],
+					is_visible=False,
+					parent=None,
+				),
+				{},
+			)
+
+		# NOTE: We execute JS code in the browser to extract important DOM information.
+		#       The returned hash map contains information about the DOM tree and the
+		#       relationship between the DOM elements.
+		debug_mode = logger.getEffectiveLevel() == logging.DEBUG
+		args = {
+			'doHighlightElements': highlight_elements,
+			'focusHighlightIndex': focus_element,
+			'viewportExpansion': viewport_expansion,
+			'debugMode': debug_mode,
+		}
+
+		try:
+			eval_page: dict = await self.page.evaluate(self.js_code, args)
+		except Exception as e:
+			logger.error('Error evaluating JavaScript: %s', e)
+			raise
+
+		# Only log performance metrics in debug mode
+		if debug_mode and 'perfMetrics' in eval_page:
+			logger.debug(
+				'DOM Tree Building Performance Metrics for: %s\n%s',
+				self.page.url,
+				json.dumps(eval_page['perfMetrics'], indent=2),
+			)
+
+		return await self._construct_dom_tree(eval_page)
+
+	@time_execution_async('--construct_dom_tree')
+	async def _construct_dom_tree(
+		self,
+		eval_page: dict,
+	) -> tuple[DOMElementNode, SelectorMap]:
+		js_node_map = eval_page['map']
+		js_root_id = eval_page['rootId']
+
+		selector_map = {}
+		node_map = {}
+
+		for id, node_data in js_node_map.items():
+			node, children_ids = self._parse_node(node_data)
+			if node is None:
+				continue
+
+			node_map[id] = node
+
+			if isinstance(node, DOMElementNode) and node.highlight_index is not None:
+				selector_map[node.highlight_index] = node
+
+			# NOTE: We know that we are building the tree bottom up
+			#       and all children are already processed.
+			if isinstance(node, DOMElementNode):
+				for child_id in children_ids:
+					if child_id not in node_map:
+						continue
+
+					child_node = node_map[child_id]
+
+					child_node.parent = node
+					node.children.append(child_node)
+
+		html_to_dict = node_map[str(js_root_id)]
+
+		del node_map
+		del js_node_map
+		del js_root_id
+
+		if html_to_dict is None or not isinstance(html_to_dict, DOMElementNode):
+			raise ValueError('Failed to parse HTML to dictionary')
+
+		return html_to_dict, selector_map
+
+	def _parse_node(
+		self,
+		node_data: dict,
+	) -> tuple[DOMBaseNode | None, list[int]]:
+		if not node_data:
+			return None, []
+
+		# Process text nodes immediately
+		if node_data.get('type') == 'TEXT_NODE':
+			text_node = DOMTextNode(
+				text=node_data['text'],
+				is_visible=node_data['isVisible'],
+				parent=None,
+			)
+			return text_node, []
+
+		# Process coordinates if they exist for element nodes
+
+		viewport_info = None
+
+		if 'viewport' in node_data:
+			viewport_info = ViewportInfo(
+				width=node_data['viewport']['width'],
+				height=node_data['viewport']['height'],
+			)
+
+		element_node = DOMElementNode(
+			tag_name=node_data['tagName'],
+			xpath=node_data['xpath'],
+			attributes=node_data.get('attributes', {}),
+			children=[],
+			is_visible=node_data.get('isVisible', False),
+			is_interactive=node_data.get('isInteractive', False),
+			is_top_element=node_data.get('isTopElement', False),
+			is_in_viewport=node_data.get('isInViewport', False),
+			highlight_index=node_data.get('highlightIndex'),
+			shadow_root=node_data.get('shadowRoot', False),
+			parent=None,
+			viewport_info=viewport_info,
+		)
+
+		children_ids = node_data.get('children', [])
+
+		return element_node, children_ids
diff --git a/src/browser_use/dom/views.py b/src/browser_use/dom/views.py
new file mode 100644
index 00000000..0a7076b5
--- /dev/null
+++ b/src/browser_use/dom/views.py
@@ -0,0 +1,265 @@
+from dataclasses import dataclass
+from functools import cached_property
+from typing import TYPE_CHECKING, Optional
+
+from browser_use.dom.history_tree_processor.view import CoordinateSet, HashedDomElement, ViewportInfo
+from browser_use.utils import time_execution_sync
+
+# Avoid circular import issues
+if TYPE_CHECKING:
+	from .views import DOMElementNode
+
+
+@dataclass(frozen=False)
+class DOMBaseNode:
+	is_visible: bool
+	# Use None as default and set parent later to avoid circular reference issues
+	parent: Optional['DOMElementNode']
+
+	def __json__(self) -> dict:
+		raise NotImplementedError('DOMBaseNode is an abstract class')
+
+
+@dataclass(frozen=False)
+class DOMTextNode(DOMBaseNode):
+	text: str
+	type: str = 'TEXT_NODE'
+
+	def has_parent_with_highlight_index(self) -> bool:
+		current = self.parent
+		while current is not None:
+			# stop if the element has a highlight index (will be handled separately)
+			if current.highlight_index is not None:
+				return True
+
+			current = current.parent
+		return False
+
+	def is_parent_in_viewport(self) -> bool:
+		if self.parent is None:
+			return False
+		return self.parent.is_in_viewport
+
+	def is_parent_top_element(self) -> bool:
+		if self.parent is None:
+			return False
+		return self.parent.is_top_element
+
+	def __json__(self) -> dict:
+		return {
+			'text': self.text,
+			'type': self.type,
+		}
+
+
+@dataclass(frozen=False)
+class DOMElementNode(DOMBaseNode):
+	"""
+	xpath: the xpath of the element from the last root node (shadow root or iframe OR document if no shadow root or iframe).
+	To properly reference the element we need to recursively switch the root node until we find the element (work you way up the tree with `.parent`)
+	"""
+
+	tag_name: str
+	xpath: str
+	attributes: dict[str, str]
+	children: list[DOMBaseNode]
+	is_interactive: bool = False
+	is_top_element: bool = False
+	is_in_viewport: bool = False
+	shadow_root: bool = False
+	highlight_index: int | None = None
+	viewport_coordinates: CoordinateSet | None = None
+	page_coordinates: CoordinateSet | None = None
+	viewport_info: ViewportInfo | None = None
+
+	"""
+	### State injected by the browser context.
+
+	The idea is that the clickable elements are sometimes persistent from the previous page -> tells the model which objects are new/_how_ the state has changed
+	"""
+	is_new: bool | None = None
+
+	def __json__(self) -> dict:
+		return {
+			'tag_name': self.tag_name,
+			'xpath': self.xpath,
+			'attributes': self.attributes,
+			'is_visible': self.is_visible,
+			'is_interactive': self.is_interactive,
+			'is_top_element': self.is_top_element,
+			'is_in_viewport': self.is_in_viewport,
+			'shadow_root': self.shadow_root,
+			'highlight_index': self.highlight_index,
+			'viewport_coordinates': self.viewport_coordinates,
+			'page_coordinates': self.page_coordinates,
+			'children': [child.__json__() for child in self.children],
+		}
+
+	def __repr__(self) -> str:
+		tag_str = f'<{self.tag_name}'
+
+		# Add attributes
+		for key, value in self.attributes.items():
+			tag_str += f' {key}="{value}"'
+		tag_str += '>'
+
+		# Add extra info
+		extras = []
+		if self.is_interactive:
+			extras.append('interactive')
+		if self.is_top_element:
+			extras.append('top')
+		if self.shadow_root:
+			extras.append('shadow-root')
+		if self.highlight_index is not None:
+			extras.append(f'highlight:{self.highlight_index}')
+		if self.is_in_viewport:
+			extras.append('in-viewport')
+
+		if extras:
+			tag_str += f' [{", ".join(extras)}]'
+
+		return tag_str
+
+	@cached_property
+	def hash(self) -> HashedDomElement:
+		from browser_use.dom.history_tree_processor.service import (
+			HistoryTreeProcessor,
+		)
+
+		return HistoryTreeProcessor._hash_dom_element(self)
+
+	def get_all_text_till_next_clickable_element(self, max_depth: int = -1) -> str:
+		text_parts = []
+
+		def collect_text(node: DOMBaseNode, current_depth: int) -> None:
+			if max_depth != -1 and current_depth > max_depth:
+				return
+
+			# Skip this branch if we hit a highlighted element (except for the current node)
+			if isinstance(node, DOMElementNode) and node != self and node.highlight_index is not None:
+				return
+
+			if isinstance(node, DOMTextNode):
+				text_parts.append(node.text)
+			elif isinstance(node, DOMElementNode):
+				for child in node.children:
+					collect_text(child, current_depth + 1)
+
+		collect_text(self, 0)
+		return '\n'.join(text_parts).strip()
+
+	@time_execution_sync('--clickable_elements_to_string')
+	def clickable_elements_to_string(self, include_attributes: list[str] | None = None) -> str:
+		"""Convert the processed DOM content to HTML."""
+		formatted_text = []
+
+		def process_node(node: DOMBaseNode, depth: int) -> None:
+			next_depth = int(depth)
+			depth_str = depth * '\t'
+
+			if isinstance(node, DOMElementNode):
+				# Add element with highlight_index
+				if node.highlight_index is not None:
+					next_depth += 1
+
+					text = node.get_all_text_till_next_clickable_element()
+					attributes_html_str = ''
+					if include_attributes:
+						attributes_to_include = {
+							key: str(value) for key, value in node.attributes.items() if key in include_attributes
+						}
+
+						# Easy LLM optimizations
+						# if tag == role attribute, don't include it
+						if node.tag_name == attributes_to_include.get('role'):
+							del attributes_to_include['role']
+
+						# if aria-label == text of the node, don't include it
+						if (
+							attributes_to_include.get('aria-label')
+							and attributes_to_include.get('aria-label', '').strip() == text.strip()
+						):
+							del attributes_to_include['aria-label']
+
+						# if placeholder == text of the node, don't include it
+						if (
+							attributes_to_include.get('placeholder')
+							and attributes_to_include.get('placeholder', '').strip() == text.strip()
+						):
+							del attributes_to_include['placeholder']
+
+						if attributes_to_include:
+							# Format as key1='value1' key2='value2'
+							attributes_html_str = ' '.join(f"{key}='{value}'" for key, value in attributes_to_include.items())
+
+					# Build the line
+					if node.is_new:
+						highlight_indicator = f'*[{node.highlight_index}]*'
+					else:
+						highlight_indicator = f'[{node.highlight_index}]'
+
+					line = f'{depth_str}{highlight_indicator}<{node.tag_name}'
+
+					if attributes_html_str:
+						line += f' {attributes_html_str}'
+
+					if text:
+						# Add space before >text only if there were NO attributes added before
+						if not attributes_html_str:
+							line += ' '
+						line += f'>{text}'
+					# Add space before /> only if neither attributes NOR text were added
+					elif not attributes_html_str:
+						line += ' '
+
+					line += ' />'  # 1 token
+					formatted_text.append(line)
+
+				# Process children regardless
+				for child in node.children:
+					process_node(child, next_depth)
+
+			elif isinstance(node, DOMTextNode):
+				# Add text only if it doesn't have a highlighted parent
+				if (
+					not node.has_parent_with_highlight_index()
+					and node.parent
+					and node.parent.is_visible
+					and node.parent.is_top_element
+				):  # and node.is_parent_top_element()
+					formatted_text.append(f'{depth_str}{node.text}')
+
+		process_node(self, 0)
+		return '\n'.join(formatted_text)
+
+	def get_file_upload_element(self, check_siblings: bool = True) -> Optional['DOMElementNode']:
+		# Check if current element is a file input
+		if self.tag_name == 'input' and self.attributes.get('type') == 'file':
+			return self
+
+		# Check children
+		for child in self.children:
+			if isinstance(child, DOMElementNode):
+				result = child.get_file_upload_element(check_siblings=False)
+				if result:
+					return result
+
+		# Check siblings only for the initial call
+		if check_siblings and self.parent:
+			for sibling in self.parent.children:
+				if sibling is not self and isinstance(sibling, DOMElementNode):
+					result = sibling.get_file_upload_element(check_siblings=False)
+					if result:
+						return result
+
+		return None
+
+
+SelectorMap = dict[int, DOMElementNode]
+
+
+@dataclass
+class DOMState:
+	element_tree: DOMElementNode
+	selector_map: SelectorMap
diff --git a/src/browser_use/exceptions.py b/src/browser_use/exceptions.py
new file mode 100644
index 00000000..2e01cf0c
--- /dev/null
+++ b/src/browser_use/exceptions.py
@@ -0,0 +1,5 @@
+class LLMException(Exception):
+	def __init__(self, status_code, message):
+		self.status_code = status_code
+		self.message = message
+		super().__init__(f'Error {status_code}: {message}')
diff --git a/src/browser_use/logging_config.py b/src/browser_use/logging_config.py
new file mode 100644
index 00000000..bdbea35c
--- /dev/null
+++ b/src/browser_use/logging_config.py
@@ -0,0 +1,132 @@
+import logging
+import os
+import sys
+
+from dotenv import load_dotenv
+
+load_dotenv()
+
+
+def addLoggingLevel(levelName, levelNum, methodName=None):
+	"""
+	Comprehensively adds a new logging level to the `logging` module and the
+	currently configured logging class.
+
+	`levelName` becomes an attribute of the `logging` module with the value
+	`levelNum`. `methodName` becomes a convenience method for both `logging`
+	itself and the class returned by `logging.getLoggerClass()` (usually just
+	`logging.Logger`). If `methodName` is not specified, `levelName.lower()` is
+	used.
+
+	To avoid accidental clobberings of existing attributes, this method will
+	raise an `AttributeError` if the level name is already an attribute of the
+	`logging` module or if the method name is already present
+
+	Example
+	-------
+	>>> addLoggingLevel('TRACE', logging.DEBUG - 5)
+	>>> logging.getLogger(__name__).setLevel('TRACE')
+	>>> logging.getLogger(__name__).trace('that worked')
+	>>> logging.trace('so did this')
+	>>> logging.TRACE
+	5
+
+	"""
+	if not methodName:
+		methodName = levelName.lower()
+
+	if hasattr(logging, levelName):
+		raise AttributeError(f'{levelName} already defined in logging module')
+	if hasattr(logging, methodName):
+		raise AttributeError(f'{methodName} already defined in logging module')
+	if hasattr(logging.getLoggerClass(), methodName):
+		raise AttributeError(f'{methodName} already defined in logger class')
+
+	# This method was inspired by the answers to Stack Overflow post
+	# http://stackoverflow.com/q/2183233/2988730, especially
+	# http://stackoverflow.com/a/13638084/2988730
+	def logForLevel(self, message, *args, **kwargs):
+		if self.isEnabledFor(levelNum):
+			self._log(levelNum, message, args, **kwargs)
+
+	def logToRoot(message, *args, **kwargs):
+		logging.log(levelNum, message, *args, **kwargs)
+
+	logging.addLevelName(levelNum, levelName)
+	setattr(logging, levelName, levelNum)
+	setattr(logging.getLoggerClass(), methodName, logForLevel)
+	setattr(logging, methodName, logToRoot)
+
+
+def setup_logging():
+	# Try to add RESULT level, but ignore if it already exists
+	try:
+		addLoggingLevel('RESULT', 35)  # This allows ERROR, FATAL and CRITICAL
+	except AttributeError:
+		pass  # Level already exists, which is fine
+
+	log_type = os.getenv('BROWSER_USE_LOGGING_LEVEL', 'info').lower()
+
+	# Check if handlers are already set up
+	if logging.getLogger().hasHandlers():
+		return
+
+	# Clear existing handlers
+	root = logging.getLogger()
+	root.handlers = []
+
+	class BrowserUseFormatter(logging.Formatter):
+		def format(self, record):
+			if isinstance(record.name, str) and record.name.startswith('browser_use.'):
+				record.name = record.name.split('.')[-2]
+			return super().format(record)
+
+	# Setup single handler for all loggers
+	console = logging.StreamHandler(sys.stdout)
+
+	# adittional setLevel here to filter logs
+	if log_type == 'result':
+		console.setLevel('RESULT')
+		console.setFormatter(BrowserUseFormatter('%(message)s'))
+	else:
+		console.setFormatter(BrowserUseFormatter('%(levelname)-8s [%(name)s] %(message)s'))
+
+	# Configure root logger only
+	root.addHandler(console)
+
+	# switch cases for log_type
+	if log_type == 'result':
+		root.setLevel('RESULT')  # string usage to avoid syntax error
+	elif log_type == 'debug':
+		root.setLevel(logging.DEBUG)
+	else:
+		root.setLevel(logging.INFO)
+
+	# Configure browser_use logger
+	browser_use_logger = logging.getLogger('browser_use')
+	browser_use_logger.propagate = False  # Don't propagate to root logger
+	browser_use_logger.addHandler(console)
+	browser_use_logger.setLevel(root.level)  # Set same level as root logger
+
+	logger = logging.getLogger('browser_use')
+	# logger.info('BrowserUse logging setup complete with level %s', log_type)
+	# Silence third-party loggers
+	for logger in [
+		'WDM',
+		'httpx',
+		'selenium',
+		'playwright',
+		'urllib3',
+		'asyncio',
+		'langchain',
+		'openai',
+		'httpcore',
+		'charset_normalizer',
+		'anthropic._base_client',
+		'PIL.PngImagePlugin',
+		'trafilatura.htmlprocessing',
+		'trafilatura',
+	]:
+		third_party = logging.getLogger(logger)
+		third_party.setLevel(logging.ERROR)
+		third_party.propagate = False
diff --git a/src/browser_use/telemetry/service.py b/src/browser_use/telemetry/service.py
new file mode 100644
index 00000000..f0695521
--- /dev/null
+++ b/src/browser_use/telemetry/service.py
@@ -0,0 +1,124 @@
+import logging
+import os
+import uuid
+from pathlib import Path
+
+from dotenv import load_dotenv
+from posthog import Posthog
+
+from browser_use.telemetry.views import BaseTelemetryEvent
+from browser_use.utils import singleton
+
+load_dotenv()
+
+
+logger = logging.getLogger(__name__)
+
+
+POSTHOG_EVENT_SETTINGS = {
+	'process_person_profile': True,
+}
+
+
+def xdg_cache_home() -> Path:
+	default = Path.home() / '.cache'
+	env_var = os.getenv('XDG_CACHE_HOME')
+	if env_var and (path := Path(env_var)).is_absolute():
+		return path
+	return default
+
+
+@singleton
+class ProductTelemetry:
+	"""
+	Service for capturing anonymized telemetry data.
+
+	If the environment variable `ANONYMIZED_TELEMETRY=False`, anonymized telemetry will be disabled.
+	"""
+
+	USER_ID_PATH = str(xdg_cache_home() / 'browser_use' / 'telemetry_user_id')
+	PROJECT_API_KEY = 'phc_F8JMNjW1i2KbGUTaW1unnDdLSPCoyc52SGRU0JecaUh'
+	HOST = 'https://eu.i.posthog.com'
+	UNKNOWN_USER_ID = 'UNKNOWN'
+
+	_curr_user_id = None
+
+	def __init__(self) -> None:
+		telemetry_disabled = os.getenv('ANONYMIZED_TELEMETRY', 'true').lower() == 'false'
+		self.debug_logging = os.getenv('BROWSER_USE_LOGGING_LEVEL', 'info').lower() == 'debug'
+
+		if telemetry_disabled:
+			self._posthog_client = None
+		else:
+			logger.info(
+				'Anonymized telemetry enabled. See https://docs.browser-use.com/development/telemetry for more information.'
+			)
+			self._posthog_client = Posthog(
+				project_api_key=self.PROJECT_API_KEY,
+				host=self.HOST,
+				disable_geoip=False,
+				enable_exception_autocapture=True,
+			)
+
+			# Silence posthog's logging
+			if not self.debug_logging:
+				posthog_logger = logging.getLogger('posthog')
+				posthog_logger.disabled = True
+
+		if self._posthog_client is None:
+			logger.debug('Telemetry disabled')
+
+	def capture(self, event: BaseTelemetryEvent) -> None:
+		if self._posthog_client is None:
+			return
+
+		if self.debug_logging:
+			logger.debug(f'Telemetry event: {event.name} {event.properties}')
+		self._direct_capture(event)
+
+	def _direct_capture(self, event: BaseTelemetryEvent) -> None:
+		"""
+		Should not be thread blocking because posthog magically handles it
+		"""
+		if self._posthog_client is None:
+			return
+
+		try:
+			self._posthog_client.capture(
+				self.user_id,
+				event.name,
+				{**event.properties, **POSTHOG_EVENT_SETTINGS},
+			)
+		except Exception as e:
+			logger.error(f'Failed to send telemetry event {event.name}: {e}')
+
+	def flush(self) -> None:
+		if self._posthog_client:
+			try:
+				self._posthog_client.flush()
+				logger.debug('PostHog client telemetry queue flushed.')
+			except Exception as e:
+				logger.error(f'Failed to flush PostHog client: {e}')
+		else:
+			logger.debug('PostHog client not available, skipping flush.')
+
+	@property
+	def user_id(self) -> str:
+		if self._curr_user_id:
+			return self._curr_user_id
+
+		# File access may fail due to permissions or other reasons. We don't want to
+		# crash so we catch all exceptions.
+		try:
+			if not os.path.exists(self.USER_ID_PATH):
+				os.makedirs(os.path.dirname(self.USER_ID_PATH), exist_ok=True)
+				with open(self.USER_ID_PATH, 'w') as f:
+					new_user_id = str(uuid.uuid4())
+					f.write(new_user_id)
+				self._curr_user_id = new_user_id
+			else:
+				with open(self.USER_ID_PATH) as f:
+					self._curr_user_id = f.read()
+		except Exception:
+			self._curr_user_id = 'UNKNOWN_USER_ID'
+		return self._curr_user_id
diff --git a/src/browser_use/telemetry/views.py b/src/browser_use/telemetry/views.py
new file mode 100644
index 00000000..b69fa644
--- /dev/null
+++ b/src/browser_use/telemetry/views.py
@@ -0,0 +1,56 @@
+from abc import ABC, abstractmethod
+from collections.abc import Sequence
+from dataclasses import asdict, dataclass
+from typing import Any
+
+
+@dataclass
+class BaseTelemetryEvent(ABC):
+	@property
+	@abstractmethod
+	def name(self) -> str:
+		pass
+
+	@property
+	def properties(self) -> dict[str, Any]:
+		return {k: v for k, v in asdict(self).items() if k != 'name'}
+
+
+@dataclass
+class RegisteredFunction:
+	name: str
+	params: dict[str, Any]
+
+
+@dataclass
+class ControllerRegisteredFunctionsTelemetryEvent(BaseTelemetryEvent):
+	registered_functions: list[RegisteredFunction]
+	name: str = 'controller_registered_functions'
+
+
+@dataclass
+class AgentTelemetryEvent(BaseTelemetryEvent):
+	# start details
+	task: str
+	model: str
+	model_provider: str
+	planner_llm: str | None
+	max_steps: int
+	max_actions_per_step: int
+	use_vision: bool
+	use_validation: bool
+	version: str
+	source: str
+	# step details
+	action_errors: Sequence[str | None]
+	action_history: Sequence[list[dict] | None]
+	urls_visited: Sequence[str | None]
+	# end details
+	steps: int
+	total_input_tokens: int
+	total_duration_seconds: float
+	success: bool | None
+	final_result_response: str | None
+	error_message: str | None
+
+	name: str = 'agent_event'
diff --git a/src/browser_use/utils.py b/src/browser_use/utils.py
new file mode 100644
index 00000000..d62ef31c
--- /dev/null
+++ b/src/browser_use/utils.py
@@ -0,0 +1,345 @@
+import asyncio
+import logging
+import os
+import platform
+import signal
+import time
+from collections.abc import Callable, Coroutine
+from functools import wraps
+from sys import stderr
+from typing import Any, ParamSpec, TypeVar
+
+logger = logging.getLogger(__name__)
+
+# Global flag to prevent duplicate exit messages
+_exiting = False
+
+# Define generic type variables for return type and parameters
+R = TypeVar('R')
+P = ParamSpec('P')
+
+
+class SignalHandler:
+	"""
+	A modular and reusable signal handling system for managing SIGINT (Ctrl+C), SIGTERM,
+	and other signals in asyncio applications.
+
+	This class provides:
+	- Configurable signal handling for SIGINT and SIGTERM
+	- Support for custom pause/resume callbacks
+	- Management of event loop state across signals
+	- Standardized handling of first and second Ctrl+C presses
+	- Cross-platform compatibility (with simplified behavior on Windows)
+	"""
+
+	def __init__(
+		self,
+		loop: asyncio.AbstractEventLoop | None = None,
+		pause_callback: Callable[[], None] | None = None,
+		resume_callback: Callable[[], None] | None = None,
+		custom_exit_callback: Callable[[], None] | None = None,
+		exit_on_second_int: bool = True,
+		interruptible_task_patterns: list[str] = None,
+	):
+		"""
+		Initialize the signal handler.
+
+		Args:
+			loop: The asyncio event loop to use. Defaults to current event loop.
+			pause_callback: Function to call when system is paused (first Ctrl+C)
+			resume_callback: Function to call when system is resumed
+			custom_exit_callback: Function to call on exit (second Ctrl+C or SIGTERM)
+			exit_on_second_int: Whether to exit on second SIGINT (Ctrl+C)
+			interruptible_task_patterns: List of patterns to match task names that should be
+										 canceled on first Ctrl+C (default: ['step', 'multi_act', 'get_next_action'])
+		"""
+		self.loop = loop or asyncio.get_event_loop()
+		self.pause_callback = pause_callback
+		self.resume_callback = resume_callback
+		self.custom_exit_callback = custom_exit_callback
+		self.exit_on_second_int = exit_on_second_int
+		self.interruptible_task_patterns = interruptible_task_patterns or ['step', 'multi_act', 'get_next_action']
+		self.is_windows = platform.system() == 'Windows'
+
+		# Initialize loop state attributes
+		self._initialize_loop_state()
+
+		# Store original signal handlers to restore them later if needed
+		self.original_sigint_handler = None
+		self.original_sigterm_handler = None
+
+	def _initialize_loop_state(self) -> None:
+		"""Initialize loop state attributes used for signal handling."""
+		setattr(self.loop, 'ctrl_c_pressed', False)
+		setattr(self.loop, 'waiting_for_input', False)
+
+	def register(self) -> None:
+		"""Register signal handlers for SIGINT and SIGTERM."""
+		try:
+			if self.is_windows:
+				# On Windows, use simple signal handling with immediate exit on Ctrl+C
+				def windows_handler(sig, frame):
+					print('\n\n🛑 Got Ctrl+C. Exiting immediately on Windows...\n', file=stderr)
+					# Run the custom exit callback if provided
+					if self.custom_exit_callback:
+						self.custom_exit_callback()
+					os._exit(0)
+
+				self.original_sigint_handler = signal.signal(signal.SIGINT, windows_handler)
+			else:
+				# On Unix-like systems, use asyncio's signal handling for smoother experience
+				self.original_sigint_handler = self.loop.add_signal_handler(signal.SIGINT, lambda: self.sigint_handler())
+				self.original_sigterm_handler = self.loop.add_signal_handler(signal.SIGTERM, lambda: self.sigterm_handler())
+
+		except Exception:
+			# there are situations where signal handlers are not supported, e.g.
+			# - when running in a thread other than the main thread
+			# - some operating systems
+			# - inside jupyter notebooks
+			pass
+
+	def unregister(self) -> None:
+		"""Unregister signal handlers and restore original handlers if possible."""
+		try:
+			if self.is_windows:
+				# On Windows, just restore the original SIGINT handler
+				if self.original_sigint_handler:
+					signal.signal(signal.SIGINT, self.original_sigint_handler)
+			else:
+				# On Unix-like systems, use asyncio's signal handler removal
+				self.loop.remove_signal_handler(signal.SIGINT)
+				self.loop.remove_signal_handler(signal.SIGTERM)
+
+				# Restore original handlers if available
+				if self.original_sigint_handler:
+					signal.signal(signal.SIGINT, self.original_sigint_handler)
+				if self.original_sigterm_handler:
+					signal.signal(signal.SIGTERM, self.original_sigterm_handler)
+		except Exception as e:
+			logger.warning(f'Error while unregistering signal handlers: {e}')
+
+	def _handle_second_ctrl_c(self) -> None:
+		"""
+		Handle a second Ctrl+C press by performing cleanup and exiting.
+		This is shared logic used by both sigint_handler and wait_for_resume.
+		"""
+		global _exiting
+
+		if not _exiting:
+			_exiting = True
+
+			# Call custom exit callback if provided
+			if self.custom_exit_callback:
+				try:
+					self.custom_exit_callback()
+				except Exception as e:
+					logger.error(f'Error in exit callback: {e}')
+
+		# Force immediate exit - more reliable than sys.exit()
+		print('\n\n🛑  Got second Ctrl+C. Exiting immediately...\n', file=stderr)
+
+		# Reset terminal to a clean state by sending multiple escape sequences
+		# Order matters for terminal resets - we try different approaches
+
+		# Reset terminal modes for both stdout and stderr
+		print('\033[?25h', end='', flush=True, file=stderr)  # Show cursor
+		print('\033[?25h', end='', flush=True)  # Show cursor
+
+		# Reset text attributes and terminal modes
+		print('\033[0m', end='', flush=True, file=stderr)  # Reset text attributes
+		print('\033[0m', end='', flush=True)  # Reset text attributes
+
+		# Disable special input modes that may cause arrow keys to output control chars
+		print('\033[?1l', end='', flush=True, file=stderr)  # Reset cursor keys to normal mode
+		print('\033[?1l', end='', flush=True)  # Reset cursor keys to normal mode
+
+		# Disable bracketed paste mode
+		print('\033[?2004l', end='', flush=True, file=stderr)
+		print('\033[?2004l', end='', flush=True)
+
+		# Carriage return helps ensure a clean line
+		print('\r', end='', flush=True, file=stderr)
+		print('\r', end='', flush=True)
+
+		os._exit(0)
+
+	def sigint_handler(self) -> None:
+		"""
+		SIGINT (Ctrl+C) handler.
+
+		First Ctrl+C: Cancel current step and pause.
+		Second Ctrl+C: Exit immediately if exit_on_second_int is True.
+		"""
+		global _exiting
+
+		if _exiting:
+			# Already exiting, force exit immediately
+			os._exit(0)
+
+		if getattr(self.loop, 'ctrl_c_pressed', False):
+			# If we're in the waiting for input state, let the pause method handle it
+			if getattr(self.loop, 'waiting_for_input', False):
+				return
+
+			# Second Ctrl+C - exit immediately if configured to do so
+			if self.exit_on_second_int:
+				self._handle_second_ctrl_c()
+
+		# Mark that Ctrl+C was pressed
+		self.loop.ctrl_c_pressed = True
+
+		# Cancel current tasks that should be interruptible - this is crucial for immediate pausing
+		self._cancel_interruptible_tasks()
+
+		# Call pause callback if provided - this sets the paused flag
+		if self.pause_callback:
+			try:
+				self.pause_callback()
+			except Exception as e:
+				logger.error(f'Error in pause callback: {e}')
+
+		# Log pause message after pause_callback is called (not before)
+		print('----------------------------------------------------------------------', file=stderr)
+
+	def sigterm_handler(self) -> None:
+		"""
+		SIGTERM handler.
+
+		Always exits the program completely.
+		"""
+		global _exiting
+		if not _exiting:
+			_exiting = True
+			print('\n\n🛑 SIGTERM received. Exiting immediately...\n\n', file=stderr)
+
+			# Call custom exit callback if provided
+			if self.custom_exit_callback:
+				self.custom_exit_callback()
+
+		os._exit(0)
+
+	def _cancel_interruptible_tasks(self) -> None:
+		"""Cancel current tasks that should be interruptible."""
+		current_task = asyncio.current_task(self.loop)
+		for task in asyncio.all_tasks(self.loop):
+			if task != current_task and not task.done():
+				task_name = task.get_name() if hasattr(task, 'get_name') else str(task)
+				# Cancel tasks that match certain patterns
+				if any(pattern in task_name for pattern in self.interruptible_task_patterns):
+					logger.debug(f'Cancelling task: {task_name}')
+					task.cancel()
+					# Add exception handler to silence "Task exception was never retrieved" warnings
+					task.add_done_callback(lambda t: t.exception() if t.cancelled() else None)
+
+		# Also cancel the current task if it's interruptible
+		if current_task and not current_task.done():
+			task_name = current_task.get_name() if hasattr(current_task, 'get_name') else str(current_task)
+			if any(pattern in task_name for pattern in self.interruptible_task_patterns):
+				logger.debug(f'Cancelling current task: {task_name}')
+				current_task.cancel()
+
+	def wait_for_resume(self) -> None:
+		"""
+		Wait for user input to resume or exit.
+
+		This method should be called after handling the first Ctrl+C.
+		It temporarily restores default signal handling to allow catching
+		a second Ctrl+C directly.
+		"""
+		# Set flag to indicate we're waiting for input
+		setattr(self.loop, 'waiting_for_input', True)
+
+		# Temporarily restore default signal handling for SIGINT
+		# This ensures KeyboardInterrupt will be raised during input()
+		original_handler = signal.getsignal(signal.SIGINT)
+		try:
+			signal.signal(signal.SIGINT, signal.default_int_handler)
+		except ValueError:
+			# we are running in a thread other than the main thread
+			# or signal handlers are not supported for some other reason
+			pass
+
+		green = '\x1b[32;1m'
+		red = '\x1b[31m'
+		blink = '\033[33;5m'
+		unblink = '\033[0m'
+		reset = '\x1b[0m'
+
+		try:  # escape code is to blink the ...
+			print(
+				f'➡️  Press {green}[Enter]{reset} to resume or {red}[Ctrl+C]{reset} again to exit{blink}...{unblink} ',
+				end='',
+				flush=True,
+				file=stderr,
+			)
+			input()  # This will raise KeyboardInterrupt on Ctrl+C
+
+			# Call resume callback if provided
+			if self.resume_callback:
+				self.resume_callback()
+		except KeyboardInterrupt:
+			# Use the shared method to handle second Ctrl+C
+			self._handle_second_ctrl_c()
+		finally:
+			try:
+				# Restore our signal handler
+				signal.signal(signal.SIGINT, original_handler)
+				setattr(self.loop, 'waiting_for_input', False)
+			except Exception:
+				pass
+
+	def reset(self) -> None:
+		"""Reset state after resuming."""
+		# Clear the flags
+		if hasattr(self.loop, 'ctrl_c_pressed'):
+			self.loop.ctrl_c_pressed = False
+		if hasattr(self.loop, 'waiting_for_input'):
+			self.loop.waiting_for_input = False
+
+
+def time_execution_sync(additional_text: str = '') -> Callable[[Callable[P, R]], Callable[P, R]]:
+	def decorator(func: Callable[P, R]) -> Callable[P, R]:
+		@wraps(func)
+		def wrapper(*args: P.args, **kwargs: P.kwargs) -> R:
+			start_time = time.time()
+			result = func(*args, **kwargs)
+			execution_time = time.time() - start_time
+			logger.debug(f'{additional_text} Execution time: {execution_time:.2f} seconds')
+			return result
+
+		return wrapper
+
+	return decorator
+
+
+def time_execution_async(
+	additional_text: str = '',
+) -> Callable[[Callable[P, Coroutine[Any, Any, R]]], Callable[P, Coroutine[Any, Any, R]]]:
+	def decorator(func: Callable[P, Coroutine[Any, Any, R]]) -> Callable[P, Coroutine[Any, Any, R]]:
+		@wraps(func)
+		async def wrapper(*args: P.args, **kwargs: P.kwargs) -> R:
+			start_time = time.time()
+			result = await func(*args, **kwargs)
+			execution_time = time.time() - start_time
+			logger.debug(f'{additional_text} Execution time: {execution_time:.2f} seconds')
+			return result
+
+		return wrapper
+
+	return decorator
+
+
+def singleton(cls):
+	instance = [None]
+
+	def wrapper(*args, **kwargs):
+		if instance[0] is None:
+			instance[0] = cls(*args, **kwargs)
+		return instance[0]
+
+	return wrapper
+
+
+def check_env_variables(keys: list[str], any_or_all=all) -> bool:
+	"""Check if all required environment variables are set"""
+	return any_or_all(os.getenv(key, '').strip() for key in keys)
diff --git a/src/outputdata/output_data.py b/src/outputdata/output_data.py
index 4ee5ef7b..40bc5630 100644
--- a/src/outputdata/output_data.py
+++ b/src/outputdata/output_data.py
@@ -44,13 +44,25 @@ def write_data_to_file(
                 "final_result": final_result
             }
         else:
+            # Convert Pydantic objects to dictionaries for JSON serialization
+            serializable_output = output
+            if hasattr(output, 'model_dump'):
+                # For Pydantic v2
+                serializable_output = output.model_dump()
+            elif hasattr(output, 'dict'):
+                # For Pydantic v1
+                serializable_output = output.dict()
+            elif hasattr(output, '__dict__'):
+                # Fallback for other objects
+                serializable_output = output.__dict__
+            
             new_entry = {
                 "timestamp": time.strftime("%Y-%m-%d %H:%M:%S"),
                 "agents_name": agents_name,
                 "number_of_tries": number_of_tries,
                 "time_taken": time_taken,
                 "user_input": user_input,
-                "output": output
+                "output": serializable_output
             }
 
         data.append(new_entry)
@@ -58,6 +70,12 @@ def write_data_to_file(
         #Write entire list back safely
         with open(output_file, 'w', encoding='utf-8') as f:
             json.dump(data, f, indent=2)
+        
+        print(f"✅ Successfully wrote data for agent: {agents_name}")
 
     except Exception as e:
-        print(f"❌ Error writing data to file: {e}")
\ No newline at end of file
+        print(f"❌ Error writing data to file: {e}")
+        print(f"🔍 Debug info - agents_name: {agents_name}")
+        print(f"🔍 Debug info - output type: {type(output) if output else 'None'}")
+        if output:
+            print(f"🔍 Debug info - output attributes: {dir(output)}")
\ No newline at end of file
diff --git a/src/webui/components/browser_use_agent_tab.py b/src/webui/components/browser_use_agent_tab.py
index 1cdebac5..f82d2022 100644
--- a/src/webui/components/browser_use_agent_tab.py
+++ b/src/webui/components/browser_use_agent_tab.py
@@ -177,9 +177,13 @@ async def _initialize_llm(
 #     #get the current directory
 #     #and create a new directory according to the step number
 #     current_dir = os.path.dirname(__file__)
-#     # output_data_dir = os.path.join(current_dir, "..", "..", "src", "outputdata", "step_" + str(step_num))
-#     #output_data_dir = os.path.join(current_dir, "..", "..", "outputdata", "step_" + str(step_num))
-#     output_data_dir = "./outputdata"
+    #     # Paths for local development
+    #     # output_data_dir = os.path.join(current_dir, "..", "..", "src", "outputdata", "step_" + str(step_num))
+    #     #output_data_dir = os.path.join(current_dir, "..", "..", "outputdata", "step_" + str(step_num))
+    #     # output_data_dir = "./outputdata"
+    #     
+    #     # Paths for Dockerized application
+    #     output_data_dir = "/app/src/outputdata"
 
 #     os.makedirs(output_data_dir, exist_ok=True)
 
@@ -357,9 +361,20 @@ async def run_agent_task(query: str, url: str) -> Dict[str, Any]:
     }
     """
     task_id = str(uuid.uuid4())
-    output_dir = os.path.join("src", "outputdata")
+    # Paths for local development
+    # output_dir = os.path.join("src", "outputdata")
+    
+    # Paths for Dockerized application
+    output_dir = os.path.join("/app", "src", "outputdata")
+    
+    # Debug: Print current working directory and output directory
+    print(f"🔍 Current working directory: {os.getcwd()}")
+    print(f"🔍 Output directory: {output_dir}")
+    print(f"🔍 Output directory exists: {os.path.exists(output_dir)}")
+    print(f"🔍 Output directory writable: {os.access(output_dir, os.W_OK) if os.path.exists(output_dir) else 'N/A'}")
     
     os.makedirs(output_dir, exist_ok=True)
+    print(f"✅ Created/verified output directory: {output_dir}")
     
     # Set display for Docker
     if not os.getenv("DISPLAY"):
@@ -691,8 +706,13 @@ async def _initialize_llm(
 #     #wss_url = get_browser_setting("wss_url") or None                                   #not used in this deployment.
 #     save_recording_path = None #get_browser_setting("save_recording_path") or None         # Recording handled through context config
 #     save_trace_path = None #get_browser_setting("save_trace_path") or None                 # Tracing handled through context config
-#     save_agent_history_path = get_browser_setting("save_agent_history_path", "./tmp/agent_history")
-#     save_download_path = get_browser_setting("save_download_path", "./tmp/downloads")
+    #     # Paths for local development
+    #     # save_agent_history_path = get_browser_setting("save_agent_history_path", "./tmp/agent_history")
+    #     # save_download_path = get_browser_setting("save_download_path", "./tmp/downloads")
+    #     
+    #     # Paths for Dockerized application
+    #     save_agent_history_path = get_browser_setting("save_agent_history_path", "/app/src/outputdata/agent_history")
+    #     save_download_path = get_browser_setting("save_download_path", "/app/src/outputdata/downloads")
 #     #should_close_browser_on_finish = not keep_browser_open                                #this logic is not used here 
 
 #     # Create necessary directories
@@ -755,6 +775,12 @@ async def _initialize_llm(
 #         if not webui_manager.bu_browser_context:
 #             logger.info("Creating new browser context.")
 #             context_config = BrowserContextConfig(
+#                 # Paths for local development
+#                 # trace_path=save_trace_path if save_trace_path else None,
+#                 # save_recording_path=save_recording_path if save_recording_path else None,
+#                 # save_downloads_path=save_download_path if save_download_path else None,
+#                 
+#                 # Paths for Dockerized application
 #                 trace_path=save_trace_path if save_trace_path else None,
 #                 save_recording_path=save_recording_path if save_recording_path else None,
 #                 save_downloads_path=save_download_path if save_download_path else None,

From d739cdd6d981234f40d81a2f792ce4ddf0e57a7f Mon Sep 17 00:00:00 2001
From: itsareebalatif <itsareebalatif@gmail.com>
Date: Fri, 8 Aug 2025 14:42:37 +0500
Subject: [PATCH 28/38] Implemented Web Socket

---
 src/API/main.py                               |  54 ++++--
 src/agent/intent_classifier/agent.py          |  22 ++-
 src/agent/intent_classifier/output.py         |   2 +-
 src/agent/main_agent/agent.py                 | 155 ++++++++++++++++-
 src/agent/orchestrator/agent_orchestrator.py  |  55 ++++--
 src/agent/prompt_enahncer/agent.py            |  20 ++-
 src/agent/qa_possibilty_checker/agent.py      |  24 ++-
 src/browser/browser_recorder.py               |  54 ++++++
 src/webpage/webpage_checker.py                |  64 ++++---
 src/websocket/websocket_manager.py            |  46 +++++
 src/webui/components/browser_use_agent_tab.py | 157 +++++++++---------
 11 files changed, 494 insertions(+), 159 deletions(-)
 create mode 100644 src/websocket/websocket_manager.py

diff --git a/src/API/main.py b/src/API/main.py
index a48450d3..3c60b166 100644
--- a/src/API/main.py
+++ b/src/API/main.py
@@ -1,35 +1,50 @@
-from fastapi import FastAPI
-from pydantic import BaseModel
-from src.webui.components import browser_use_agent_tab
-from src.webui.components.browser_use_agent_tab import run_agent_task
-from fastapi import HTTPException
+from fastapi import FastAPI, WebSocket, WebSocketDisconnect, HTTPException
 from fastapi.staticfiles import StaticFiles
 from fastapi.responses import FileResponse
+from fastapi.middleware.cors import CORSMiddleware
+from pydantic import BaseModel
+from pathlib import Path
 import os
 
+from src.webui.components.browser_use_agent_tab import run_agent_task
+from src.websocket.websocket_manager import WebSocketManager
 
 app = FastAPI()
+app.add_middleware(
+    CORSMiddleware,
+    allow_origins=["*"],
+    allow_credentials=True,
+    allow_methods=["*"],
+    allow_headers=["*"],
+)
+manager = WebSocketManager()
 
-
-# Mount the static files
+# Mount static files
 app.mount("/static", StaticFiles(directory=os.getcwd()), name="static")
 
-# Set display environment for Docker
+# Set display environment for Docker (headless)
 if not os.getenv("DISPLAY"):
     os.environ["DISPLAY"] = ":99"
 
 
-
+# 🧠 Request body model
 class AgentRequest(BaseModel):
     query: str
     url: str
 
+
+# 🎯 Run agent task and send logs via WebSocket
 @app.post("/run-agent")
+
 async def run_agent(request: AgentRequest):
     try:
         print(f"🔄 Starting agent with DISPLAY={os.getenv('DISPLAY')}")
-        result = await run_agent_task(request.query, request.url)
-        
+
+        async def message_callback(message: str):
+            await manager.send_message(message)
+
+        result = await run_agent_task(request.query, request.url, message_callback=message_callback)
+
         return {
             "status": "success",
             "task_id": result["task_id"],
@@ -38,16 +53,25 @@ async def run_agent(request: AgentRequest):
     except Exception as e:
         print(f"❌ Agent error: {e}")
         raise HTTPException(status_code=500, detail=str(e))
-    
+
+
+# ⛔ Optional Stop Agent
 @app.post("/stop-agent")
 def stop_agent():
-    # call stop_wrapper or shutdown browser/session
     return {"status": "stopped"}
 
-# Serve index.html at /
+
+# 🌐 Serve frontend
 @app.get("/")
 async def serve_frontend():
     return FileResponse("static/index.html")
 
 
-
+@app.websocket("/ws")
+async def websocket_endpoint(websocket: WebSocket):
+    await manager.connect(websocket)
+    try:
+        while True:
+            await websocket.receive_text()  # keep alive
+    except:
+        manager.disconnect(websocket)
diff --git a/src/agent/intent_classifier/agent.py b/src/agent/intent_classifier/agent.py
index 168ae508..c22c0ead 100644
--- a/src/agent/intent_classifier/agent.py
+++ b/src/agent/intent_classifier/agent.py
@@ -4,29 +4,41 @@
 from ..main_agent.agent import run_main_agent
 import logging
 from typing import Any
-
+from ...websocket.websocket_manager import send_ws_message
 logger = logging.getLogger(__name__)
 
 class IntentClassifierAgent:
-    def __init__(self, llm: Any, user_prompt: str) -> None:
+    def __init__(self, llm: Any, user_prompt: str,message_callback=None) -> None:
+        
         logger.info("Initializing IntentClassifierAgent")
         self.output_pydantic_class = IntentClassifierOutput
         self.llm = llm
         self.agent_prompt = agents_prompt
         self.user_prompt = user_prompt
+        self.message_callback = message_callback
 
-    def run_agent(self) -> IntentClassifierOutput:
+    async def run_agent(self) -> IntentClassifierOutput:
         logger.info(f"Running Intent Classifier Agent....")
+        logger.info(f"run_main_agent is: {run_main_agent}")  # 🪵 This will help debug
         
-        output = run_main_agent(
+        if self.message_callback:
+            await self.message_callback("----------------------------")
+            await self.message_callback("  '🟢 START: Intent Classifier Agent Started...' ")
+            await self.message_callback(f"📥 User Input: {self.user_prompt}")
+
+        output =await run_main_agent(
             output_pydantic_class=self.output_pydantic_class,
             agents_name="Intent Classifier Agent",
             agents_prompt=self.agent_prompt,
             input_to_prompt={
                 "input": self.user_prompt
             },
-            model_name=self.llm
+            model_name=self.llm,
+            message_callback=self.message_callback
         )
         
+        if self.message_callback:
+            await self.message_callback("Intent Classifier Agent is finished.") 
+            await self.message_callback("----------------------------") 
         logger.info(f"Intent Classifier Agent finished. Output: {output}")
         return output
diff --git a/src/agent/intent_classifier/output.py b/src/agent/intent_classifier/output.py
index 9248b9e1..13340459 100644
--- a/src/agent/intent_classifier/output.py
+++ b/src/agent/intent_classifier/output.py
@@ -27,7 +27,7 @@ def custom_validate(self) -> Dict:
             }
 
         # 2. intent == False should not have a modified_prompt
-        if not self.intent and self.modified_prompt.strip():
+        if not self.intent and self.modified_prompt:
             return {
                 "is_valid": False,
                 "should_retry": True,
diff --git a/src/agent/main_agent/agent.py b/src/agent/main_agent/agent.py
index 669f9fd0..b00976ac 100644
--- a/src/agent/main_agent/agent.py
+++ b/src/agent/main_agent/agent.py
@@ -1,4 +1,120 @@
 
+# from ...models.models import AIModel
+# from typing import Optional, Any
+# import json
+# import time
+# import os
+# import logging
+# from langchain_openai import ChatOpenAI
+# from langchain_ollama.chat_models import ChatOllama
+# from dotenv import load_dotenv
+# from langchain.prompts import ChatPromptTemplate, SystemMessagePromptTemplate, HumanMessagePromptTemplate, AIMessagePromptTemplate
+# from ...outputdata.output_data import write_data_to_file
+# from ...websocket.websocket_manager import WebSocketManager
+# load_dotenv()
+
+# import logging
+# logger = logging.getLogger(__name__)
+
+# def get_chatprompt_templates(agents_prompt: str, input_keys: list[str]) -> ChatPromptTemplate:
+#     agents_prompt = agents_prompt.replace("{", "{{").replace("}", "}}")
+#     agents_prompt_template = SystemMessagePromptTemplate.from_template(agents_prompt)
+    
+#     #combining all inputs into a single human message with named placeholders
+#     input_text = "\n".join([f"{key}: {{{key}}}" for key in input_keys])
+#     user_input_template = HumanMessagePromptTemplate.from_template(input_text)
+
+#     return ChatPromptTemplate.from_messages([
+#         agents_prompt_template,
+#         user_input_template
+#     ])
+
+# def get_llm_model(
+#         model_name: Any,
+#         output_pydantic_class
+# ) -> ChatOllama | ChatOpenAI:
+    
+#     if isinstance(model_name, dict):
+#         if AIModel.Ollama_DeepSeek_14b.value in model_name.model:
+#             return ChatOllama(model=AIModel.Ollama_DeepSeek_14b.value).with_structured_output(output_pydantic_class)
+#         elif AIModel.Ollama_Gemma_7b.value in model_name.model:
+#             return ChatOllama(model=AIModel.Ollama_Gemma_7b.value).with_structured_output(output_pydantic_class)
+#         else:
+#             #we could specify which model to use here always, for now if not deepseek then just use gpt4-o
+#             return ChatOpenAI(model_name=AIModel.GPT_4O.value).with_structured_output(output_pydantic_class)
+        
+
+#     #if the model is not an instance of dict, then we can assume that it is a string and return just gpt40
+#     return ChatOpenAI(model_name=AIModel.GPT_4O.value).with_structured_output(output_pydantic_class)
+
+
+# def run_main_agent(
+#     output_pydantic_class,
+#     agents_name: str,
+#     agents_prompt: str,
+#     input_to_prompt: dict,
+#     model_name: Optional[str],
+# ) -> Any:
+#     llm_model = get_llm_model(model_name, output_pydantic_class)
+#     logger.info(f"Running agent '{agents_name}' with model: {model_name}")
+    
+
+    
+#     original_prompt = agents_prompt
+#     current_prompt = original_prompt
+#     max_attempts = 5
+#     attempt = 0
+#     output = None
+#     should_retry = True  # Ensure first attempt runs
+#     start_time = time.time()
+    
+#     while attempt < max_attempts and should_retry:
+#         attempt += 1
+#         try:
+#             logger.info(f"Attempt {attempt} for agent '{agents_name}'")
+
+#             # Build and execute the chain
+#             chat_prompt = get_chatprompt_templates(current_prompt, list(input_to_prompt.keys()))
+#             chain = chat_prompt | llm_model
+#             output = chain.invoke(input_to_prompt)
+
+#             # Simplified validation handling
+#             validation_result = output.custom_validate() 
+#             should_retry = validation_result.get("should_retry")
+
+#             if should_retry:
+#                 logger.info("Retrying...")
+#                 current_prompt = f"{original_prompt}\n\n[CONTEXT]: {validation_result.get('retry_prompt', '')}"
+
+#         except Exception as e:
+#             logger.error(f"Processing error: {str(e)}")
+#             should_retry = True
+#             current_prompt = f"{current_prompt}\n\n[ERROR]: {str(e)}"
+
+#     # Final reporting
+#     end_time = time.time()
+#     time_taken = end_time - start_time
+#     logger.info(f"Completed in {time_taken:.2f}s with {attempt} attempts")
+
+
+
+#     logger.info(f"Writing data to file for agent '{agents_name}'")
+#     write_data_to_file(
+#         agents_name=agents_name,
+#         number_of_tries=attempt,
+#         time_taken=time_taken,
+#         user_input=input_to_prompt,
+#         output=output,
+#     )
+
+#     import asyncio
+
+    
+#     return output
+
+
+
+
 from ...models.models import AIModel
 from typing import Optional, Any
 import json
@@ -10,6 +126,7 @@
 from dotenv import load_dotenv
 from langchain.prompts import ChatPromptTemplate, SystemMessagePromptTemplate, HumanMessagePromptTemplate, AIMessagePromptTemplate
 from ...outputdata.output_data import write_data_to_file
+from ...websocket.websocket_manager import send_ws_message
 load_dotenv()
 
 import logging
@@ -47,16 +164,21 @@ def get_llm_model(
     return ChatOpenAI(model_name=AIModel.GPT_4O.value).with_structured_output(output_pydantic_class)
 
 
-def run_main_agent(
+async def run_main_agent(
     output_pydantic_class,
     agents_name: str,
     agents_prompt: str,
     input_to_prompt: dict,
-    model_name: Optional[str],
+    model_name: Optional[str] ,
+    message_callback=None,  # Add message callback
 ) -> Any:
     llm_model = get_llm_model(model_name, output_pydantic_class)
     logger.info(f"Running agent '{agents_name}' with model: {model_name}")
     
+    
+    # Notify WebSocket clients about the agent starting
+    #send_ws_message(message_callback, f"🔍 Running agent in ws2 '{agents_name}'")
+
     original_prompt = agents_prompt
     current_prompt = original_prompt
     max_attempts = 5
@@ -70,6 +192,9 @@ def run_main_agent(
         try:
             logger.info(f"Attempt {attempt} for agent '{agents_name}'")
 
+            # Inform WebSockets about the attempt
+            #send_ws_message(message_callback, f"Attempt {attempt} for agent in ws3'{agents_name}'")
+
             # Build and execute the chain
             chat_prompt = get_chatprompt_templates(current_prompt, list(input_to_prompt.keys()))
             chain = chat_prompt | llm_model
@@ -78,23 +203,23 @@ def run_main_agent(
             # Simplified validation handling
             validation_result = output.custom_validate() 
             should_retry = validation_result.get("should_retry")
-
+            
             if should_retry:
                 logger.info("Retrying...")
                 current_prompt = f"{original_prompt}\n\n[CONTEXT]: {validation_result.get('retry_prompt', '')}"
-
+                
         except Exception as e:
             logger.error(f"Processing error: {str(e)}")
+            send_ws_message(message_callback, f"Error: {str(e)}")
             should_retry = True
             current_prompt = f"{current_prompt}\n\n[ERROR]: {str(e)}"
-
+            
     # Final reporting
     end_time = time.time()
     time_taken = end_time - start_time
     logger.info(f"Completed in {time_taken:.2f}s with {attempt} attempts")
-
-
-
+    
+    
     logger.info(f"Writing data to file for agent '{agents_name}'")
     write_data_to_file(
         agents_name=agents_name,
@@ -103,5 +228,17 @@ def run_main_agent(
         user_input=input_to_prompt,
         output=output,
     )
-    
+    # if message_callback:
+    #     await message_callback(f"🎯 Output for  {agents_name}: {output}")
+    if message_callback:
+        await message_callback("🎯 Output:")
+        await message_callback(f"- agent_msg: {output.agent_msg}")
+        if getattr(output, "modified_prompt", ""):  # only send if not empty
+           await message_callback(f"- modified_prompt: {output.modified_prompt}")
+        if getattr(output, "intent", ""):   
+           await message_callback(f"- intent: {output.intent}") 
+        if getattr(output, "enhanced_prompt", ""):     
+           await message_callback(f"- enhanced_prompt: {output}")
+    # Send the final output via WebSocket
+
     return output
\ No newline at end of file
diff --git a/src/agent/orchestrator/agent_orchestrator.py b/src/agent/orchestrator/agent_orchestrator.py
index bdd5b881..3bd6fcc3 100644
--- a/src/agent/orchestrator/agent_orchestrator.py
+++ b/src/agent/orchestrator/agent_orchestrator.py
@@ -64,7 +64,9 @@ def __init__(
         extend_system_prompt: Any = None,
         planner_llm: Any = None,
         use_vision_for_planner: bool = False,
+        message_callback=None
     ):
+        
         self.llm = llm
         self.browser_config = browser_config
         self.use_vision = use_vision
@@ -78,6 +80,7 @@ def __init__(
         self.extend_system_prompt = extend_system_prompt
         self.planner_llm = planner_llm
         self.use_vision_for_planner = use_vision_for_planner
+        self.message_callback = message_callback
         self.client = OpenAI()
 
         self.builder = StateGraph(State)
@@ -144,9 +147,9 @@ def __init__(
         self.graph = self.builder.compile()
         self._store_graph_image(self.graph)
 
-    def intent_classifier(self, state: State) -> State:
+    async def intent_classifier(self, state: State) -> State:
         logger.info("\n\n INTENT CLASSIFIER NODE...\n")
-        output = IntentClassifierAgent(llm=self.llm, user_prompt=self.user_query).run_agent()
+        output =await IntentClassifierAgent(llm=self.llm, user_prompt=self.user_query,message_callback=self.message_callback).run_agent()
         state["intent_check"] = output.intent
         state["intent_agent_msg"] = output.agent_msg
 
@@ -159,9 +162,9 @@ def intent_classifier(self, state: State) -> State:
         
         return state
 
-    def webpage_checker(self, state: State) -> State:
+    async def webpage_checker(self, state: State) -> State:
         logger.info("\n\n WEBPAGE CHECKER NODE...\n")
-        output = WebpageChecker(url=self.url).exists()
+        output =await WebpageChecker(url=self.url,message_callback=self.message_callback).exists()
         if output:
             logger.info("Webpage exists and is valid")
             state['webpage_msg'] = "Webpage exists and is valid"
@@ -194,11 +197,16 @@ async def take_screenshot(self, state: State) -> State:
         try:
             logger.info("Taking screenshot...")
             print(f"🌐 Navigating to URL: {self.url}")
+            if self.message_callback:
+                await self.message_callback("----------------------------")
+                await self.message_callback("📸 Starting screenshot agent.")
             
             async with async_playwright() as p:
                 browser = await p.chromium.launch(headless=True)
                 page = await browser.new_page()
-                await page.goto(self.url, timeout=60000, wait_until="networkidle")
+                await page.goto(self.url, timeout=100000, wait_until="networkidle")
+                if self.message_callback:
+                    await self.message_callback("✅ Page loaded successfully.")
                 print(f"✅ Page loaded successfully")
                 
                 #await page.evaluate("window.scrollTo(0, document.body.scrollHeight)")
@@ -210,6 +218,9 @@ async def take_screenshot(self, state: State) -> State:
                     await asyncio.sleep(1)
 
                 print(f"📸 Taking screenshot and saving to: {save_path}")
+                if self.message_callback:
+                   await self.message_callback("📸 Taking screenshot of the page...")
+
                 await page.screenshot(path=save_path, full_page=True)
                 await browser.close()
                 logger.info(f"Screenshot saved at: {save_path}")
@@ -218,18 +229,25 @@ async def take_screenshot(self, state: State) -> State:
                 if os.path.exists(save_path):
                     file_size = os.path.getsize(save_path)
                     print(f"✅ Screenshot saved successfully! Size: {file_size} bytes")
+                    if self.message_callback:
+                       await self.message_callback(f"✅ Screenshot saved successfully! Size: {file_size} bytes")
                     state["screenshot_taken"] = True
                 else:
-                    print(f"❌ Screenshot file not found at: {save_path}")
+                    if self.message_callback:
+                       await self.message_callback(f"❌ Screenshot file not found at: {save_path}")
                     state["screenshot_taken"] = False
         except Exception as e:
             logger.error(f"Error taking screenshot: {e}")
+            if self.message_callback:
+               await self.message_callback(f"❌ Error taking screenshot: {e}")
             state["screenshot_taken"] = False
-
+        await self.message_callback("----------------------------")
         return state    
     
-    def get_image_fileId(self, state: State) -> State:
+    async def get_image_fileId(self, state: State) -> State:
         logger.info("Extracting image file ID...")
+        if self.message_callback:
+            await self.message_callback("🖼️ Extracting image file ID...")
         try:
             # Paths for local development
             # with open("screenshot.png", "rb") as image_file:
@@ -244,27 +262,29 @@ def get_image_fileId(self, state: State) -> State:
             state["image_fileId"] = ""
         return state
 
-    def QA_possibility(self, state: State) -> State:
+    async def QA_possibility(self, state: State) -> State:
         logger.info("\n\n QA POSSIBILTY CHECKER AGENT...\n")
 
         user_prompt = state.get("prompt_without_ui", self.user_query)
-        output = QAPossibilityChecker(
+        output =await QAPossibilityChecker(
             llm=self.llm,
             user_prompt=user_prompt,
             image_file_id=state["image_fileId"],
+            message_callback=self.message_callback
         ).run_agent()
         state["QA_possibility_agent_msg"] = output.agent_msg
         state["QA_possibility_check"] = output.qa_possibility
         return state
 
-    def prompt_enhancer(self, state: State) -> State:
+    async def prompt_enhancer(self, state: State) -> State:
         logger.info("\n\n PROMPT ENHANCER AGENT...\n")
 
         user_prompt = state.get("prompt_without_ui", self.user_query)
-        output = PromptEnhancerAgent(
+        output =await PromptEnhancerAgent(
             llm=self.llm,
             user_prompt=user_prompt,
-            image_file_id=state['image_fileId']
+            image_file_id=state['image_fileId'],
+            message_callback=self.message_callback
         ).run_agent()
         state['enhanced_prompt_agent_msg'] = output.agent_msg
         state['enhanced_prompt'] = output.enhanced_prompt
@@ -273,11 +293,14 @@ def prompt_enhancer(self, state: State) -> State:
         return state
 
     async def browser_ui(self, state: State) -> State:
+        if self.message_callback:
+            await self.message_callback("🧪 Browser UI Agent Started...")
+
         logger.info("\n\n BROWSER UI AGENT...\n")
         try:
             # Initialize BrowserUseAgent with all required parameters
             task = f"{state['enhanced_prompt']} URL: {self.url}"
-            logger.info("task to browser use agent: " ,task )
+            logger.info(f"task to browser use agent: {task}")
             browser_agent = BrowserUseAgent(
                 task=task,
                 llm=self.llm,
@@ -300,7 +323,9 @@ async def browser_ui(self, state: State) -> State:
             
             # Run the browser agent
             result = await browser_agent.run(max_steps=25)
-            
+            if self.message_callback:
+               await self.message_callback("✅ Browser UI Agent Finished...")
+
             # Store the result in state
             state["browser_result"] = result
             return state
diff --git a/src/agent/prompt_enahncer/agent.py b/src/agent/prompt_enahncer/agent.py
index 3cbe8c4c..313c3f84 100644
--- a/src/agent/prompt_enahncer/agent.py
+++ b/src/agent/prompt_enahncer/agent.py
@@ -6,16 +6,21 @@
 logger = logging.getLogger(__name__)
 
 class PromptEnhancerAgent:
-    def __init__(self,llm: str, user_prompt: str, image_file_id: str) -> None:
+    def __init__(self,llm: str, user_prompt: str, image_file_id: str,message_callback=None) -> None:
         logger.info("Initializing PromptEnhancerAgent...")
         self.output_pydantic_class = PromptEnhancerOutput
         self.user_prompt = user_prompt
         self.agent_prompt = agents_prompt
         self.image_file_id = image_file_id
-        self.llm = llm
+        self.llm = llm,
+        self.message_callback = message_callback
 
-    def run_agent(self) -> PromptEnhancerOutput:        
-        output = run_main_agent(
+    async def run_agent(self) -> PromptEnhancerOutput: 
+        if self.message_callback:
+            await self.message_callback(" 🟢 START:  Prompt Enhanced Agent ")
+            await self.message_callback(f"📥 User Input: {self.user_prompt}")
+
+        output =await run_main_agent(
             output_pydantic_class=self.output_pydantic_class,
             agents_name="Prompt Enhancer Agent",
             agents_prompt=self.agent_prompt,
@@ -23,8 +28,11 @@ def run_agent(self) -> PromptEnhancerOutput:
                 "input": self.user_prompt,
                 "image_file_id": self.image_file_id
             },
-             model_name=self.llm
+            model_name=self.llm,
+            message_callback=self.message_callback
         )
-        
+        if self.message_callback:
+            await self.message_callback(" Prompt Enhanced Agent is finished.")
+            await self.message_callback("----------------------------")
         logger.info(f"Prompt Enhancers Agent finished...")
         return output
\ No newline at end of file
diff --git a/src/agent/qa_possibilty_checker/agent.py b/src/agent/qa_possibilty_checker/agent.py
index 46656342..9377c511 100644
--- a/src/agent/qa_possibilty_checker/agent.py
+++ b/src/agent/qa_possibilty_checker/agent.py
@@ -16,18 +16,25 @@
 class QAPossibilityChecker:
     def __init__(self, llm: str, 
                  user_prompt: str, 
-                 image_file_id: str
+                 image_file_id: str,
+                 message_callback=None
                  ) -> None:
         logger.info("Initializing QAPossibilityChecker")
         self.output_pydantic_class = QAPossibilityCheckerOutput
         self.user_prompt = user_prompt
         self.agent_prompt = agents_prompt
         self.image_file_id = image_file_id 
-        self.llm = llm
+        self.llm = llm,
+        self.message_callback = message_callback
 
-    def run_agent(self) -> QAPossibilityCheckerOutput:
-                
-        output = run_main_agent(
+    async def run_agent(self) -> QAPossibilityCheckerOutput:
+
+        if self.message_callback:
+            await self.message_callback("----------------------------")
+            await self.message_callback(" 🟢 START: QAPossibility checker Agent Started... ")
+            await self.message_callback(f"📥 User Input: {self.user_prompt} and image_file_id: {self.image_file_id}")
+
+        output =await run_main_agent(
             output_pydantic_class=self.output_pydantic_class,
             agents_name="QA POSSIBILTY CHECKER",
             agents_prompt=self.agent_prompt,
@@ -35,7 +42,12 @@ def run_agent(self) -> QAPossibilityCheckerOutput:
             "input": self.user_prompt,
             "image_file_id": self.image_file_id
             },
-            model_name=self.llm
+            model_name=self.llm,
+            message_callback=self.message_callback
         )
+
+        if self.message_callback:
+            await self.message_callback("QA Possibility Checker is finished.")
+            await self.message_callback("----------------------------") 
         logger.info(f"QA Possibilty Checker finished Output...: {output}")
         return output
diff --git a/src/browser/browser_recorder.py b/src/browser/browser_recorder.py
index 60149548..39705247 100644
--- a/src/browser/browser_recorder.py
+++ b/src/browser/browser_recorder.py
@@ -1,3 +1,6 @@
+
+
+
 import os
 import logging
 from pathlib import Path
@@ -89,6 +92,57 @@ def get_recorded_videos(self) -> list:
     
 
     
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+#Bhai MOhsin code :i think no need of this but i am not sure    
 # import os
 # import logging
 # from pathlib import Path
diff --git a/src/webpage/webpage_checker.py b/src/webpage/webpage_checker.py
index efcb68ec..435f8178 100644
--- a/src/webpage/webpage_checker.py
+++ b/src/webpage/webpage_checker.py
@@ -1,42 +1,54 @@
+import httpx
 import requests
 import logging
 logger = logging.getLogger(__name__)
 from ..outputdata.output_data import write_data_to_file
 
 class WebpageChecker:
-    def __init__(self, url) -> None:
+    def __init__(self, url,message_callback=None) -> None:
         logger.info("Initializing WebpageChecker...")
         self.url = url
+        self.message_callback = message_callback
+        
 
-    def exists(self):
+    async def exists(self):
         try:
-            logger.info(f"Checking if the webpage {self.url} exists...")
+            
+            if self.message_callback:
+                
+                await self.message_callback("🧪 Initializing Webpage Checker Agent...")
+                await self.message_callback(f"🌐 Checking if the webpage {self.url} exists...")
 
             headers = {
                 "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) "
-                            "AppleWebKit/537.36 (KHTML, like Gecko) "
-                            "Chrome/114.0.0.0 Safari/537.36"
+                              "AppleWebKit/537.36 (KHTML, like Gecko) "
+                              "Chrome/114.0.0.0 Safari/537.36"
             }
-
-            # Try HEAD request first
-            response = requests.head(self.url, headers=headers, allow_redirects=True, timeout=15)
-
-            # If HEAD gives 403 or isn't reliable, fallback to GET
-            if response.status_code == 403 or response.status_code >= 400:
-                logger.warning(f"HEAD request got status {response.status_code}, trying GET instead...")
-                response = requests.get(self.url, headers=headers, allow_redirects=True, timeout=15)
-
-            write_data_to_file(
-                agents_name="Webpage Checker",
-                number_of_tries=1,
-                time_taken=1,
-                user_input=self.url,
-                output=f"{response.status_code} - {response.reason}"
-            )
-
-            logger.info(f"Response: {response.status_code} - {response.reason}")
-            return response.status_code == 200
-
-        except requests.RequestException as e:
+            async with httpx.AsyncClient(timeout=15) as client:
+                response = await client.head(self.url, headers=headers, follow_redirects=True)
+                if response.status_code == 403 or response.status_code >= 400:
+                    logger.warning(f"HEAD request got status {response.status_code}, trying GET instead...")
+                    if self.message_callback:
+                        await self.message_callback(f"⚠️ HEAD request got status {response.status_code}, trying GET instead...")
+                    response = await client.get(self.url, headers=headers, follow_redirects=True)
+                write_data_to_file(
+                    agents_name="Webpage Checker",
+                    number_of_tries=1,
+                    time_taken=1,
+                    user_input=self.url,
+                    output=f"{response.status_code} - {response.reason_phrase}"
+                )
+                logger.info(f"Response: {response.status_code} - {response.reason_phrase}")
+                if self.message_callback:
+                    if response.status_code == 200:
+                        await self.message_callback("✅ Webpage exists and is valid.")
+                    else:
+                        await self.message_callback(f"❌ Webpage not found. {response.status_code} - {response.reason_phrase}")
+                return response.status_code == 200
+        except httpx.RequestError as e:
             logger.error("Error checking URL: %s", e)
+            if self.message_callback:
+                await self.message_callback(f"❌ Error checking URL: {e}")
             return False
+        
+    
\ No newline at end of file
diff --git a/src/websocket/websocket_manager.py b/src/websocket/websocket_manager.py
new file mode 100644
index 00000000..af29b06b
--- /dev/null
+++ b/src/websocket/websocket_manager.py
@@ -0,0 +1,46 @@
+from fastapi import WebSocket, logger
+from typing import List
+import asyncio
+
+class WebSocketManager:
+    def __init__(self):
+        self.active_connections: List[WebSocket] = []
+
+    async def connect(self, websocket: WebSocket):
+        await websocket.accept()
+        self.active_connections.append(websocket)
+        print(f"✅ WebSocket connected. Total clients: {len(self.active_connections)}")
+
+    def disconnect(self, websocket: WebSocket):
+        if websocket in self.active_connections:
+            self.active_connections.remove(websocket)
+            print(f"⚠️ WebSocket disconnected. Total clients: {len(self.active_connections)}")
+
+    async def send_message(self, message: str):
+        print(f"📤 Sending message to {len(self.active_connections)} clients: {message}")
+        if not self.active_connections:
+            print("⚠️ No active WebSocket connections")
+            return
+        for connection in self.active_connections:
+            try:
+                await connection.send_text(message)
+            except Exception as e:
+                print(f"❌ Error sending message: {e}")
+
+# Helper function
+import inspect
+
+def send_ws_message(message_callback, message: str):
+    """Send WebSocket message safely, handling both async and sync callbacks."""
+    print(f"📤 Sending WebSocket message: {message}")
+    if message_callback:
+        if inspect.iscoroutinefunction(message_callback):
+            try:
+                asyncio.create_task(message_callback(message)) 
+            except Exception as e:
+                logger.error(f"Error sending async message: {e}")
+        else:
+            try:
+                message_callback(message)  # Call sync
+            except Exception as e:
+                logger.error(f"Error sending sync message: {e}")
\ No newline at end of file
diff --git a/src/webui/components/browser_use_agent_tab.py b/src/webui/components/browser_use_agent_tab.py
index f82d2022..60d3dc0f 100644
--- a/src/webui/components/browser_use_agent_tab.py
+++ b/src/webui/components/browser_use_agent_tab.py
@@ -1,4 +1,4 @@
-from typing import AsyncGenerator, Dict, Any
+from typing import AsyncGenerator, Awaitable, Callable, Dict, Any
 import asyncio
 import json
 import logging
@@ -352,7 +352,7 @@ async def _initialize_llm(
 
 # --- Core Agent Execution Logic --- (Needs access to webui_manager)
 
-async def run_agent_task(query: str, url: str) -> Dict[str, Any]:
+async def run_agent_task(query: str, url: str, message_callback: Optional[Callable[[str], Awaitable[None]]] = None) -> Dict[str, Any]:
     """
     Simplified agent runner that handles everything
     Returns: {
@@ -361,66 +361,45 @@ async def run_agent_task(query: str, url: str) -> Dict[str, Any]:
     }
     """
     task_id = str(uuid.uuid4())
-    # Paths for local development
-    # output_dir = os.path.join("src", "outputdata")
+    if message_callback:
+        await message_callback(f"Task ID: {task_id}")
+
     
-    # Paths for Dockerized application
     output_dir = os.path.join("/app", "src", "outputdata")
-    
-    # Debug: Print current working directory and output directory
-    print(f"🔍 Current working directory: {os.getcwd()}")
-    print(f"🔍 Output directory: {output_dir}")
-    print(f"🔍 Output directory exists: {os.path.exists(output_dir)}")
-    print(f"🔍 Output directory writable: {os.access(output_dir, os.W_OK) if os.path.exists(output_dir) else 'N/A'}")
-    
     os.makedirs(output_dir, exist_ok=True)
-    print(f"✅ Created/verified output directory: {output_dir}")
-    
-    # Set display for Docker
+
     if not os.getenv("DISPLAY"):
         os.environ["DISPLAY"] = ":99"
-    
+
+    if message_callback:
+        await message_callback(f"🖥️ Using display: {os.environ['DISPLAY']}")
+
     print(f"🖥️ Using display: {os.getenv('DISPLAY')}")
     
+    
     # 1. Initialize browser
     playwright = await async_playwright().start()
     browser = CustomBrowser(
         config=BrowserConfig(
-            headless=False,  # Keep browser visible for VNC
+            headless=False,
             disable_security=False,
-            fullscreen=True,  # Start in fullscreen mode
+            fullscreen=True,
             extra_browser_args=[
-                "--no-sandbox",
-                "--disable-dev-shm-usage",
-                "--disable-gpu",
-                "--disable-web-security",
-                "--disable-features=VizDisplayCompositor",
-                "--start-maximized",
-                "--window-size=1920,1080",
-                "--window-position=0,0",
-                "--disable-extensions",
-                "--disable-background-timer-throttling",
-                "--disable-backgrounding-occluded-windows",
-                "--disable-renderer-backgrounding",
-                "--force-device-scale-factor=1",
-                "--high-dpi-support=1"
+                "--no-sandbox", "--disable-dev-shm-usage", "--disable-gpu",
+                "--disable-web-security", "--disable-features=VizDisplayCompositor",
+                "--start-maximized", "--window-size=1920,1080", "--window-position=0,0",
+                "--disable-extensions", "--disable-background-timer-throttling",
+                "--disable-backgrounding-occluded-windows", "--disable-renderer-backgrounding",
+                "--force-device-scale-factor=1", "--high-dpi-support=1"
             ],
-            new_context_config=BrowserContextConfig(
-                window_width=1920,
-                window_height=1080
-            )
+            new_context_config=BrowserContextConfig(window_width=1920, window_height=1080)
         )
     )
-    
-    
+
     playwright_browser = await browser._setup_builtin_browser(playwright)
-    
-    # Setup recorder with the actual browser instance (optional for debugging)
     recorder = BrowserRecorder()
     browser_context = await recorder.setup_recording(playwright_browser)
-    
-    
-    # 2. Create context
+
     context_config = BrowserContextConfig(
         save_downloads_path=os.path.join(output_dir, "downloads"),
         window_height=1080,
@@ -428,21 +407,18 @@ async def run_agent_task(query: str, url: str) -> Dict[str, Any]:
     )
     browser_context = await browser.new_context(config=context_config)
     await browser_context.setup()
-    
-    # Maximize the browser window to fill the entire VNC screen
+
+    if message_callback:
+        await message_callback("🌐 Maximizing browser window...")
+
     try:
         page = await browser_context.new_page()
-        # Set viewport to full screen size
         await page.set_viewport_size({"width": 1920, "height": 1080})
-        # More aggressive window maximization
         await page.evaluate("""
-            // Maximize window
             if (window.screen && window.screen.availWidth && window.screen.availHeight) {
                 window.resizeTo(window.screen.availWidth, window.screen.availHeight);
                 window.moveTo(0, 0);
             }
-            
-            // Try multiple fullscreen methods
             setTimeout(() => {
                 if (document.documentElement.requestFullscreen) {
                     document.documentElement.requestFullscreen();
@@ -452,21 +428,20 @@ async def run_agent_task(query: str, url: str) -> Dict[str, Any]:
                     document.documentElement.msRequestFullscreen();
                 }
             }, 1000);
-            
-            // Also try to maximize the browser window itself
             if (window.chrome && window.chrome.webstore) {
-                // Chrome-specific maximization
                 window.resizeTo(screen.availWidth, screen.availHeight);
             }
         """)
         await page.close()
     except Exception as e:
         print(f"⚠️ Could not maximize browser window: {e}")
-    
+
     # 3. Initialize controller
     controller = CustomController()
-    
-    # 4. Initialize LLM
+
+    if message_callback:
+        await message_callback("🧠 Initializing LLM...")
+
     llm = await _initialize_llm(
         provider="openai",
         model_name="gpt-4o",
@@ -474,29 +449,54 @@ async def run_agent_task(query: str, url: str) -> Dict[str, Any]:
         api_key=os.getenv("OPENAI_API_KEY")
     )
     
-    # 5. Create step handler (simplified for live viewing)
+    # 4. Step handler with WebSocket message sending
     async def handle_step(state: BrowserState, output: AgentOutput, step_num: int):
-        """Process each agent step - simplified for live viewing"""
         step_dir = os.path.join(output_dir, f"step_{step_num}")
         os.makedirs(step_dir, exist_ok=True)
-        
-        # Save agent response for debugging
+
+
+        evaluation = getattr(output.current_state, "evaluation_previous_goal", "")
+        memory = getattr(output.current_state, "memory", "")
+        next_goal = getattr(output.current_state, "next_goal", "")
+        actions = output.actions_taken if hasattr(output, "actions_taken") else []
+
+        # Send to frontend via WebSocket
+        if message_callback:
+            await message_callback("----------------------------")
+            await message_callback(f"🤖 Step {step_num}: Running step...")
+
+            if evaluation:
+                await message_callback(f" ⚠ Eval: {evaluation}")
+            if memory:
+                await message_callback(f"🧠 Memory: {memory}")
+            if next_goal:
+                await message_callback(f"🎯 Next goal: {next_goal}")
+            
+
         response_data = {
             "evaluation_previous_goal": getattr(output.current_state, "evaluation_previous_goal", ""),
             "memory": getattr(output.current_state, "memory", ""),
             "next_goal": getattr(output.current_state, "next_goal", ""),
         }
+
+        # if message_callback:
+            
+        #     await message_callback(f"🤖 Step {step_num}: {response_data['next_goal']}")
+
         response_path = os.path.join(step_dir, "agent_response.json")
         with open(response_path, "w") as f:
             json.dump(response_data, f)
-            
+
         return None, response_path
 
-    # 6. Run agent
+    if message_callback:
+        await message_callback("🚀 Starting agent...")
+
+    # 5. Run agent
     agent = AgentOrchestrator(
         llm=llm,
         browser_config={
-            "headless": False,  # Keep browser visible for VNC
+            "headless": False,
             "window_width": 1920,
             "window_height": 1080,
             "use_own_browser": True,
@@ -505,61 +505,66 @@ async def handle_step(state: BrowserState, output: AgentOutput, step_num: int):
         },
         use_vision=True,
         max_actions_per_step=5,
-        generate_gif=False,  # Disable GIF generation since we have live view
+        generate_gif=False,
         user_query=query,
         url=url,
         register_new_step_callback=handle_step,
         override_system_prompt=None,
         extend_system_prompt=None,
+        message_callback=message_callback
     )
-    
+
     history = await agent.run(
         task=f"{query}  url: {url}",
         browser=browser,
         browser_context=browser_context,
         controller=controller
     )
-    last_result = None
 
+    last_result = None
     if history.history:
-        last_history_item = history.history[-1]  # Get the last history item
-        if last_history_item.result:
-            last_result = last_history_item.result[-1]  # Get the last result in that item
+        last_item = history.history[-1]
+        if last_item.result:
+            last_result = last_item.result[-1]
 
-    # Process results
     if last_result:
         print("✅ Extracted Content:", last_result.extracted_content)
         print("✅ Is Done:", last_result.is_done)
     else:
         print("⚠️ No result found.")
 
-    # Save recording for debugging (optional)
+    # if message_callback:
+    #     await message_callback("📦 Processing final result...")
+
     try:
         await recorder.save_recording()
     except Exception as e:
         logger.warning(f"Could not save recording: {e}")
-    
-    # 7. Cleanup
+
     await browser_context.close()
     await browser.close()
     await playwright.stop()
-       
+
     final_result = "No result"
     if last_result and last_result.extracted_content:
         content = last_result.extracted_content
         match = re.search(r"'done':\s*\{(.*?)\}", content, re.DOTALL)
         if match:
             final_result = match.group(1).strip()
-            print("✅ Extracted final result :", final_result)
         else:
-            final_result = content.strip()  # fallback if regex doesn't match
+            final_result = content.strip()
     else:
         final_result = history.final_result() or "No result"
+    
+    if message_callback:
+        await message_callback("----------------------------")
+        await message_callback(f"✅ Task Complete: {final_result}")
 
     return {
         "task_id": task_id,
         "final_result": final_result
     }
+
     
     
 async def _initialize_llm(

From 4aff46369128f0e9b7a19cb0bdd94cc95c345cc5 Mon Sep 17 00:00:00 2001
From: Mohsin Ali Irfan <mohsin.ali@codeupscale.com>
Date: Fri, 8 Aug 2025 19:00:13 +0500
Subject: [PATCH 29/38] Increased number of steps. changes in the prompt, gpt-5
 implementation, debugged screeshot noe being taken

---
 src/agent/main_agent/agent.py                | 118 -----
 src/agent/orchestrator/agent_orchestrator.py |  18 +-
 src/agent/qa_possibilty_checker/prompt.py    |   4 +-
 src/browser_use/agent/service.py             |   2 +-
 src/models/models.py                         |  12 +-
 static/index.html                            | 515 ++++++++++---------
 6 files changed, 289 insertions(+), 380 deletions(-)

diff --git a/src/agent/main_agent/agent.py b/src/agent/main_agent/agent.py
index b00976ac..4d0e30ed 100644
--- a/src/agent/main_agent/agent.py
+++ b/src/agent/main_agent/agent.py
@@ -1,120 +1,3 @@
-
-# from ...models.models import AIModel
-# from typing import Optional, Any
-# import json
-# import time
-# import os
-# import logging
-# from langchain_openai import ChatOpenAI
-# from langchain_ollama.chat_models import ChatOllama
-# from dotenv import load_dotenv
-# from langchain.prompts import ChatPromptTemplate, SystemMessagePromptTemplate, HumanMessagePromptTemplate, AIMessagePromptTemplate
-# from ...outputdata.output_data import write_data_to_file
-# from ...websocket.websocket_manager import WebSocketManager
-# load_dotenv()
-
-# import logging
-# logger = logging.getLogger(__name__)
-
-# def get_chatprompt_templates(agents_prompt: str, input_keys: list[str]) -> ChatPromptTemplate:
-#     agents_prompt = agents_prompt.replace("{", "{{").replace("}", "}}")
-#     agents_prompt_template = SystemMessagePromptTemplate.from_template(agents_prompt)
-    
-#     #combining all inputs into a single human message with named placeholders
-#     input_text = "\n".join([f"{key}: {{{key}}}" for key in input_keys])
-#     user_input_template = HumanMessagePromptTemplate.from_template(input_text)
-
-#     return ChatPromptTemplate.from_messages([
-#         agents_prompt_template,
-#         user_input_template
-#     ])
-
-# def get_llm_model(
-#         model_name: Any,
-#         output_pydantic_class
-# ) -> ChatOllama | ChatOpenAI:
-    
-#     if isinstance(model_name, dict):
-#         if AIModel.Ollama_DeepSeek_14b.value in model_name.model:
-#             return ChatOllama(model=AIModel.Ollama_DeepSeek_14b.value).with_structured_output(output_pydantic_class)
-#         elif AIModel.Ollama_Gemma_7b.value in model_name.model:
-#             return ChatOllama(model=AIModel.Ollama_Gemma_7b.value).with_structured_output(output_pydantic_class)
-#         else:
-#             #we could specify which model to use here always, for now if not deepseek then just use gpt4-o
-#             return ChatOpenAI(model_name=AIModel.GPT_4O.value).with_structured_output(output_pydantic_class)
-        
-
-#     #if the model is not an instance of dict, then we can assume that it is a string and return just gpt40
-#     return ChatOpenAI(model_name=AIModel.GPT_4O.value).with_structured_output(output_pydantic_class)
-
-
-# def run_main_agent(
-#     output_pydantic_class,
-#     agents_name: str,
-#     agents_prompt: str,
-#     input_to_prompt: dict,
-#     model_name: Optional[str],
-# ) -> Any:
-#     llm_model = get_llm_model(model_name, output_pydantic_class)
-#     logger.info(f"Running agent '{agents_name}' with model: {model_name}")
-    
-
-    
-#     original_prompt = agents_prompt
-#     current_prompt = original_prompt
-#     max_attempts = 5
-#     attempt = 0
-#     output = None
-#     should_retry = True  # Ensure first attempt runs
-#     start_time = time.time()
-    
-#     while attempt < max_attempts and should_retry:
-#         attempt += 1
-#         try:
-#             logger.info(f"Attempt {attempt} for agent '{agents_name}'")
-
-#             # Build and execute the chain
-#             chat_prompt = get_chatprompt_templates(current_prompt, list(input_to_prompt.keys()))
-#             chain = chat_prompt | llm_model
-#             output = chain.invoke(input_to_prompt)
-
-#             # Simplified validation handling
-#             validation_result = output.custom_validate() 
-#             should_retry = validation_result.get("should_retry")
-
-#             if should_retry:
-#                 logger.info("Retrying...")
-#                 current_prompt = f"{original_prompt}\n\n[CONTEXT]: {validation_result.get('retry_prompt', '')}"
-
-#         except Exception as e:
-#             logger.error(f"Processing error: {str(e)}")
-#             should_retry = True
-#             current_prompt = f"{current_prompt}\n\n[ERROR]: {str(e)}"
-
-#     # Final reporting
-#     end_time = time.time()
-#     time_taken = end_time - start_time
-#     logger.info(f"Completed in {time_taken:.2f}s with {attempt} attempts")
-
-
-
-#     logger.info(f"Writing data to file for agent '{agents_name}'")
-#     write_data_to_file(
-#         agents_name=agents_name,
-#         number_of_tries=attempt,
-#         time_taken=time_taken,
-#         user_input=input_to_prompt,
-#         output=output,
-#     )
-
-#     import asyncio
-
-    
-#     return output
-
-
-
-
 from ...models.models import AIModel
 from typing import Optional, Any
 import json
@@ -153,7 +36,6 @@ def get_llm_model(
     if isinstance(model_name, dict):
         if AIModel.Ollama_DeepSeek_14b.value in model_name.model:
             return ChatOllama(model=AIModel.Ollama_DeepSeek_14b.value).with_structured_output(output_pydantic_class)
-        elif AIModel.Ollama_Gemma_7b.value in model_name.model:
             return ChatOllama(model=AIModel.Ollama_Gemma_7b.value).with_structured_output(output_pydantic_class)
         else:
             #we could specify which model to use here always, for now if not deepseek then just use gpt4-o
diff --git a/src/agent/orchestrator/agent_orchestrator.py b/src/agent/orchestrator/agent_orchestrator.py
index 3bd6fcc3..cf9cb508 100644
--- a/src/agent/orchestrator/agent_orchestrator.py
+++ b/src/agent/orchestrator/agent_orchestrator.py
@@ -204,11 +204,23 @@ async def take_screenshot(self, state: State) -> State:
             async with async_playwright() as p:
                 browser = await p.chromium.launch(headless=True)
                 page = await browser.new_page()
-                await page.goto(self.url, timeout=100000, wait_until="networkidle")
+                
+                try:
+                    await page.goto(self.url, timeout=30000, wait_until="networkidle")
+                except Exception:
+                    print("Networkidle timed out! Try domcontentloaded.")
+                    await page.goto(self.url, timeout=30000, wait_until="domcontentloaded")
+                
                 if self.message_callback:
                     await self.message_callback("✅ Page loaded successfully.")
                 print(f"✅ Page loaded successfully")
                 
+                # Wait for 2 seconds to ensure proper page rendering
+                if self.message_callback:
+                    await self.message_callback("⏳ Waiting for page to render properly...")
+                print("⏳ Waiting for page to render properly...")
+                await asyncio.sleep(2)
+                
                 #await page.evaluate("window.scrollTo(0, document.body.scrollHeight)")
                 await asyncio.sleep(1)
 
@@ -299,7 +311,7 @@ async def browser_ui(self, state: State) -> State:
         logger.info("\n\n BROWSER UI AGENT...\n")
         try:
             # Initialize BrowserUseAgent with all required parameters
-            task = f"{state['enhanced_prompt']} URL: {self.url}"
+            task = f"{state['enhanced_prompt']} \n\n THE URL: {self.url}"
             logger.info(f"task to browser use agent: {task}")
             browser_agent = BrowserUseAgent(
                 task=task,
@@ -322,7 +334,7 @@ async def browser_ui(self, state: State) -> State:
             )
             
             # Run the browser agent
-            result = await browser_agent.run(max_steps=25)
+            result = await browser_agent.run(max_steps=100)
             if self.message_callback:
                await self.message_callback("✅ Browser UI Agent Finished...")
 
diff --git a/src/agent/qa_possibilty_checker/prompt.py b/src/agent/qa_possibilty_checker/prompt.py
index 194e93f9..21e88010 100644
--- a/src/agent/qa_possibilty_checker/prompt.py
+++ b/src/agent/qa_possibilty_checker/prompt.py
@@ -27,9 +27,9 @@
      "agent_msg": "QA is possible on the extracted Snippet"
      "qa_possibilty": true 
  }
- or 
+ or (if the QA test seems not possible always give a reason why QA failed appended in the agent_msg)
  {
-     "agent_msg": "QA is not possible on the extracted Snippet (give a proper reason)"
+     "agent_msg": "QA is not possible on the extracted Snippet"
      "qa_possibilty": false 
  }
 """
diff --git a/src/browser_use/agent/service.py b/src/browser_use/agent/service.py
index fd97a59c..18ee9dc0 100644
--- a/src/browser_use/agent/service.py
+++ b/src/browser_use/agent/service.py
@@ -188,7 +188,7 @@ def __init__(
 			'aria-expanded',
 			'data-date-format',
 		],
-		max_actions_per_step: int = 10,
+		max_actions_per_step: int = 25,
 		tool_calling_method: ToolCallingMethod | None = 'auto',
 		page_extraction_llm: BaseChatModel | None = None,
 		planner_llm: BaseChatModel | None = None,
diff --git a/src/models/models.py b/src/models/models.py
index 1a20f78f..1f24cced 100644
--- a/src/models/models.py
+++ b/src/models/models.py
@@ -1,9 +1,13 @@
-#make enums of models like gpt4 gpt4o
 from enum import Enum
 from typing import List, Dict, Any
-
 class AIModel(Enum):
     GPT_4 = "gpt-4"
     GPT_4O = "gpt-4o"
-    Ollama_DeepSeek_14b = "deepseek-r1:14b"
-    Ollama_Gemma_7b = "gemma:7b"
\ No newline at end of file
+    OLLAMA_DEEPSEEK_14B = "deepseek-r1:14b"
+    OLLAMA_GEMMA_7B = "gemma:7b"
+    GPT_5 = "gpt-5"
+    GPT_5_MINI = "gpt-5-mini"
+    GPT_5_NANO = "gpt-5-nano"
+    GPT_5_CHAT = "gpt-5-chat"
+    GPT_5_PRO = "gpt-5-pro"         # optional, for Pro-tier use
+    GPT_5_THINKING = "gpt-5-thinking"  # optional, reasoning-focused variant
\ No newline at end of file
diff --git a/static/index.html b/static/index.html
index 78f9e96d..36d6e4de 100644
--- a/static/index.html
+++ b/static/index.html
@@ -1,238 +1,255 @@
-<!DOCTYPE html>
+!DOCTYPE html>
 <html lang="en">
 <head>
-  <meta charset="UTF-8" />
-  <title>Next SQA AI - Live Browser Testing</title>
-  <style>
-    body {
-      font-family: 'Segoe UI', sans-serif;
-      background-color: #f9f9f9;
-      padding: 40px;
-      color: #333;
-      max-width: 1000px;
-      margin: auto;
-    }
-
-    h2 {
-      text-align: center;
-      color: #333;
-      margin-bottom: 30px;
-    }
-
-    .form-group {
-      margin-bottom: 20px;
-    }
-
-    label {
-      font-weight: 500;
-      display: block;
-      margin-bottom: 6px;
-    }
-
-    input[type="text"] {
-      width: 100%;
-      padding: 12px;
-      border: 1px solid #ccc;
-      border-radius: 6px;
-      font-size: 15px;
-      background-color: #fff;
-      box-shadow: inset 0 1px 2px rgba(0,0,0,0.05);
-    }
-
-    .buttons {
-      display: flex;
-      justify-content: center;
-      gap: 15px;
-      margin-top: 10px;
-    }
-
-    button {
-      background-color: #007bff;
-      color: white;
-      padding: 10px 18px;
-      font-size: 15px;
-      border: none;
-      border-radius: 5px;
-      cursor: pointer;
-      transition: background-color 0.2s ease;
-    }
-
-    button:hover {
-      background-color: #0056b3;
-    }
-
-    button:disabled {
-      background-color: #6c757d;
-      cursor: not-allowed;
-    }
-
-    #live-browser-container {
-      margin-top: 40px;
-    }
-
-    #agent-status {
-      text-align: center;
-      padding: 10px;
-      margin: 10px 0;
-      border-radius: 5px;
-      background-color: #e9ecef;
-      font-weight: 500;
-    }
-
-    #error-message {
-      color: red;
-      text-align: center;
-      margin-top: 15px;
-    }
-
-    .vnc-container {
-      border: 1px solid #ccc;
-      border-radius: 10px;
-      overflow: hidden;
-      box-shadow: 0 2px 8px rgba(0,0,0,0.1);
-      height: 700px;
-      width: 100%;
-    }
-
-    .status-running {
-      background-color: #d4edda !important;
-      color: #155724 !important;
-    }
-
-    .status-completed {
-      background-color: #d1ecf1 !important;
-      color: #0c5460 !important;
-    }
-
-    .status-error {
-      background-color: #f8d7da !important;
-      color: #721c24 !important;
-    }
-
-    #vnc-iframe {
-      width: 100%;
-      height: 100%;
-      border: none;
-      display: none;
-      object-fit: contain;
-    }
-
-    #vnc-placeholder {
-      display: flex;
-      flex-direction: column;
-      justify-content: center;
-      align-items: center;
-      height: 100%;
-      padding: 20px;
-      text-align: center;
-      color: #666;
-    }
-  </style>
+<meta charset="UTF-8" />
+<title>Next SQA AI - Live Browser Testing</title>
+<style>
+body {
+    font-family: 'Segoe UI', sans-serif;
+    background-color: #f9f9f9;
+    padding: 40px;
+    color: #333;
+    max-width: 1000px;
+    margin: auto;
+}
+h2 {
+    text-align: center;
+    color: #333;
+    margin-bottom: 30px;
+}
+.form-group {
+    margin-bottom: 20px;
+}
+label {
+    font-weight: 500;
+    display: block;
+    margin-bottom: 6px;
+}
+input[type="text"] {
+    width: 100%;
+    padding: 12px;
+    border: 1px solid #ccc;
+    border-radius: 6px;
+    font-size: 15px;
+    background-color: #fff;
+    box-shadow: inset 0 1px 2px rgba(0,0,0,0.05);
+}
+.buttons {
+    display: flex;
+    justify-content: center;
+    gap: 15px;
+    margin-top: 10px;
+}
+button {
+    background-color: #007bff;
+    color: white;
+    padding: 10px 18px;
+    font-size: 15px;
+    border: none;
+    border-radius: 5px;
+    cursor: pointer;
+    transition: background-color 0.2s ease;
+}
+button:hover {
+    background-color: #0056b3;
+}
+button:disabled {
+    background-color: #6c757d;
+    cursor: not-allowed;
+}
+#live-browser-container {
+    margin-top: 40px;
+}
+#agent-status {
+    text-align: center;
+    padding: 10px;
+    margin: 10px 0;
+    border-radius: 5px;
+    background-color: #e9ecef;
+    font-weight: 500;
+}
+#error-message {
+    color: red;
+    text-align: center;
+    margin-top: 15px;
+}
+.vnc-container {
+    border: 1px solid #ccc;
+    border-radius: 10px;
+    overflow: hidden;
+    box-shadow: 0 2px 8px rgba(0,0,0,0.1);
+    height: 700px;
+    width: 100%;
+}
+#vnc-iframe {
+    width: 100%;
+    height: 100%;
+    border: none;
+    display: none;
+    object-fit: contain;
+}
+#vnc-placeholder {
+    display: flex;
+    flex-direction: column;
+    justify-content: center;
+    align-items: center;
+    height: 100%;
+    padding: 20px;
+    text-align: center;
+    color: #666;
+}
+#ws-messages {
+    margin-top: 30px;
+    padding: 15px;
+    background: #8dceee;
+    border-radius: 8px;
+    max-height: 200px;
+    overflow-y: auto;
+    font-family: monospace;
+}
+.status-running {
+    background-color: #d4edda !important;
+    color: #155724 !important;
+}
+.status-completed {
+    background-color: #d1ecf1 !important;
+    color: #0c5460 !important;
+}
+.status-error {
+    background-color: #f8d7da !important;
+    color: #721c24 !important;
+}
+</style>
 </head>
-
 <body>
-  <h2>🧪 Live Browser Testing Agent</h2>
-
-  <div class="form-group">
+<h2>🧪 Live Browser Testing Agent</h2>
+<div class="form-group">
     <label for="query">Prompt:</label>
     <input type="text" id="query" placeholder="e.g. Test the login button" />
-  </div>
-
-  <div class="form-group">
+</div>
+<div class="form-group">
     <label for="url">Website URL:</label>
     <input type="text" id="url" placeholder="e.g. https://example.com" />
-  </div>
-
-  <div class="buttons">
-    <button onclick="submitTest()">Start Live Test</button>
+</div>
+<div class="buttons">
+    <button id="start-btn" onclick="submitTest()" disabled>Start Live Test</button>
     <button onclick="clearForm()">Clear</button>
     <button onclick="stopTest()">Stop</button>
-  </div>
-
-  <div id="error-message"></div>
-  <div id="agent-status">Ready to start testing...</div>
-
-  <div id="live-browser-container">
+</div>
+<div id="error-message"></div>
+<div id="agent-status">Connecting to WebSocket...</div>
+<div id="live-browser-container">
     <h3>Live Browser Interaction:</h3>
     <div class="vnc-container">
-      <div id="vnc-placeholder">
-        <p>🔄 Browser will appear here when agent starts...</p>
-        <p style="font-size: 14px; color: #999;">You'll see real-time automation happening!</p>
-        <p style="font-size: 12px; color: #ccc; margin-top: 20px;">
-          <strong>Instructions:</strong><br>
-          1. Enter your query and URL above<br>
-          2. Click "Start Live Test"<br>
-          3. Watch the browser automation happen live!
-        </p>
-      </div>
-      <iframe 
-        id="vnc-iframe" 
-        src="" 
-        allowfullscreen>
-      </iframe>
+        <div id="vnc-placeholder">
+            <p>🔄 Browser will appear here when agent starts...</p>
+            <p style="font-size: 14px; color: #999;">You'll see real-time automation happening!</p>
+            <p style="font-size: 12px; color: #ccc; margin-top: 20px;">
+                <strong>Instructions:</strong><br>
+                1. Enter your query and URL above<br>
+                2. Click "Start Live Test"<br>
+                3. Watch the browser automation happen live!
+            </p>
+        </div>
+        <iframe id="vnc-iframe" src="" allowfullscreen></iframe>
     </div>
-  </div>
-
-  <script>
-    async function submitTest() {
-      const queryInput = document.getElementById("query");
-      const urlInput = document.getElementById("url");
-      const errorDiv = document.getElementById("error-message");
-      const statusDiv = document.getElementById("agent-status");
-      const submitBtn = document.querySelector(".buttons button");
-      const vncIframe = document.getElementById("vnc-iframe");
-      const vncPlaceholder = document.getElementById("vnc-placeholder");
-
-      const query = queryInput.value.trim();
-      const url = urlInput.value.trim();
-
-      errorDiv.textContent = "";
+</div>
+<div id="ws-messages">
+    <strong>🧠 Agent Messages:</strong>
+    <ul id="messages-list" style="list-style: disc; margin-top: 10px;">
+        <li id="default-log-msg">Here are the logs of the test...</li>
+    </ul>
+</div>
+<script>
+let wsReady = false;
+let ws;
+const submitBtn = document.getElementById("start-btn");
+submitBtn.disabled = true; // Begin disabled until ws connects
+
+function connectWebSocket() {
+    wsReady = false;
+    submitBtn.disabled = true;
+    const host = window.location.host;
+    ws = new WebSocket(`ws://${host}/ws`);
+    ws.onopen = function () {
+        wsReady = true;
+        submitBtn.disabled = false;
+        document.getElementById("agent-status").textContent = "WebSocket connected! Ready to test.";
+    };
+    ws.onclose = function () {
+        wsReady = false;
+        submitBtn.disabled = true;
+        document.getElementById("agent-status").textContent = "WebSocket disconnected, reconnecting...";
+        setTimeout(connectWebSocket, 1200); // try reconnect on drop
+    }
+    ws.onmessage = function (event) {
+        const list = document.getElementById("messages-list");
+        const item = document.createElement("li");
+        item.textContent = event.data;
+        list.appendChild(item);
+        list.scrollTop = list.scrollHeight;
+    };
+    ws.onerror = (err) => {
+        console.error("WebSocket error:", err);
+        ws.close();
+    }
+}
+connectWebSocket();
 
-      if (!query || !url) {
+async function submitTest() {
+    if (!wsReady) {
+        alert("Waiting for websocket connection...please wait.");
+        return;
+    }
+    const queryInput = document.getElementById("query");
+    const urlInput = document.getElementById("url");
+    const errorDiv = document.getElementById("error-message");
+    const statusDiv = document.getElementById("agent-status");
+    const vncIframe = document.getElementById("vnc-iframe");
+    const vncPlaceholder = document.getElementById("vnc-placeholder");
+    const messageList = document.getElementById("messages-list");
+    const query = queryInput.value.trim();
+    const url = urlInput.value.trim();
+    errorDiv.textContent = "";
+    messageList.innerHTML = `<li id="default-log-msg">Here are the logs of the test...</li>`;
+    if (!query || !url) {
         errorDiv.textContent = "Both fields are required.";
         return;
-      }
-
-      // 🔒 Disable input fields and button
-      queryInput.disabled = true;
-      urlInput.disabled = true;
-      submitBtn.disabled = true;
-      submitBtn.textContent = "Running...";
-      submitBtn.style.backgroundColor = "#6c757d";
-
-      // Show VNC viewer with proper configuration
-      statusDiv.textContent = "🔄 Starting browser...";
-      statusDiv.className = "status-running";
-      vncPlaceholder.style.display = "none";
-      vncIframe.style.display = "block";
-      
-      // Configure VNC with optimal settings for live viewing - full screen and better scaling
-      const vncUrl = "http://localhost:6080/vnc.html?autoconnect=true&resize=scale&password=youvncpassword&autoconnect=true&resize=scale&quality=6&compression=6&clipViewport=true&scaleViewport=true&reconnect=true&fullscreen=true&scale=1.0&fitMode=scale&viewOnly=false&showDotCursor=true&background=#000000";
-      vncIframe.src = vncUrl;
-
-      try {
+    }
+    // Disable form
+    queryInput.disabled = true;
+    urlInput.disabled = true;
+    submitBtn.disabled = true;
+    submitBtn.textContent = "Running...";
+    submitBtn.style.backgroundColor = "#6c757d";
+    // Show VNC
+    statusDiv.textContent = "🔄 Starting browser...";
+    statusDiv.className = "status-running";
+    vncPlaceholder.style.display = "none";
+    vncIframe.style.display = "block";
+    const vncUrl = "http://localhost:6080/vnc.html?autoconnect=true&resize=scale&password=youvncpassword&quality=6&compression=6&clipViewport=true&scaleViewport=true&reconnect=true&fullscreen=true&scale=1.0&fitMode=scale&viewOnly=false&showDotCursor=true&background=#000000";
+    vncIframe.src = vncUrl;
+    try {
         const response = await fetch("/run-agent", {
-          method: "POST",
-          headers: { "Content-Type": "application/json" },
-          body: JSON.stringify({ query, url }),
+            method: "POST",
+            headers: { "Content-Type": "application/json" },
+            body: JSON.stringify({ query, url }),
         });
-
         const result = await response.json();
         console.log("Agent result:", result);
-
         if (response.ok) {
-          statusDiv.textContent = "✅ Task completed! Check the browser above for results.";
-          statusDiv.className = "status-completed";
-          document.querySelector("#live-browser-container h3").textContent = "✅ Task Completed - Final Browser State:";
+            statusDiv.textContent = "✅ Task completed! Check the browser above for results.";
+            statusDiv.className = "status-completed";
+            document.querySelector("#live-browser-container h3").textContent = "✅ Task Completed - Final Browser State:";
         } else {
-          errorDiv.textContent = "Error: " + (result.detail || "Unknown error");
-          statusDiv.textContent = "❌ Task failed";
-          statusDiv.className = "status-error";
-          vncIframe.style.display = "none";
-          vncPlaceholder.style.display = "flex";
-          vncPlaceholder.innerHTML = "<p>❌ Task failed</p>";
+            errorDiv.textContent = "Error: " + (result.detail || "Unknown error");
+            statusDiv.textContent = "❌ Task failed";
+            statusDiv.className = "status-error";
+            vncIframe.style.display = "none";
+            vncPlaceholder.style.display = "flex";
+            vncPlaceholder.innerHTML = "<p>❌ Task failed</p>";
         }
-      } catch (err) {
+    } catch (err) {
         errorDiv.textContent = "Something went wrong. Please try again.";
         console.error("Fetch error:", err);
         statusDiv.textContent = "❌ Connection failed";
@@ -240,30 +257,25 @@ <h3>Live Browser Interaction:</h3>
         vncIframe.style.display = "none";
         vncPlaceholder.style.display = "flex";
         vncPlaceholder.innerHTML = "<p>❌ Connection failed</p>";
-      }
-
-      // ✅ Restore button but keep inputs disabled
-      submitBtn.disabled = false;
-      submitBtn.textContent = "Start Live Test";
-      submitBtn.style.backgroundColor = "#007bff";
     }
-
-    function clearForm() {
-      const queryInput = document.getElementById("query");
-      const urlInput = document.getElementById("url");
-      const vncIframe = document.getElementById("vnc-iframe");
-      const vncPlaceholder = document.getElementById("vnc-placeholder");
-      const statusDiv = document.getElementById("agent-status");
-
-      queryInput.value = "";
-      urlInput.value = "";
-      queryInput.disabled = false;
-      urlInput.disabled = false;
-
-      // Hide VNC viewer
-      vncIframe.style.display = "none";
-      vncPlaceholder.style.display = "flex";
-      vncPlaceholder.innerHTML = `
+    // Re-enable button
+    submitBtn.disabled = false;
+    submitBtn.textContent = "Start Live Test";
+    submitBtn.style.backgroundColor = "#007bff";
+}
+function clearForm() {
+    const queryInput = document.getElementById("query");
+    const urlInput = document.getElementById("url");
+    const vncIframe = document.getElementById("vnc-iframe");
+    const vncPlaceholder = document.getElementById("vnc-placeholder");
+    const statusDiv = document.getElementById("agent-status");
+    queryInput.value = "";
+    urlInput.value = "";
+    queryInput.disabled = false;
+    urlInput.disabled = false;
+    vncIframe.style.display = "none";
+    vncPlaceholder.style.display = "flex";
+    vncPlaceholder.innerHTML = `
         <p>🔄 Browser will appear here when agent starts...</p>
         <p style="font-size: 14px; color: #999;">You'll see real-time automation happening!</p>
         <p style="font-size: 12px; color: #ccc; margin-top: 20px;">
@@ -271,26 +283,25 @@ <h3>Live Browser Interaction:</h3>
           1. Enter your query and URL above<br>
           2. Click "Start Live Test"<br>
           3. Watch the browser automation happen live!
-        </p>
-      `;
-
-      document.getElementById("error-message").textContent = "";
-      document.querySelector("#live-browser-container h3").textContent = "Live Browser Interaction:";
-      statusDiv.textContent = "Ready to start testing...";
-      statusDiv.className = "";
-    }
-
-    function stopTest() {
-      fetch("/stop-agent", { method: "POST" })
+        </p>`;
+    document.getElementById("error-message").textContent = "";
+    document.getElementById("messages-list").innerHTML = "";
+    document.querySelector("#live-browser-container h3").textContent = "Live Browser Interaction:";
+    statusDiv.textContent = "Ready to start testing...";
+    statusDiv.className = "";
+    // Keep the websocket/connection as is on clear.
+}
+function stopTest() {
+    fetch("/stop-agent", { method: "POST" })
         .then(res => res.json())
         .then(data => {
-          alert(data.status || "Stopped.");
+            alert(data.status || "Stopped.");
         })
         .catch(err => {
-          console.error("Failed to stop:", err);
-          alert("Failed to stop the agent.");
+            console.error("Failed to stop:", err);
+            alert("Failed to stop the agent.");
         });
-    }
-  </script>
+}
+</script>
 </body>
-</html>
+</html>
\ No newline at end of file

From 6d8b587eec5fb91834d81e13c8dbd286fe425a36 Mon Sep 17 00:00:00 2001
From: Mohsin Ali Irfan <mohsin.ali@codeupscale.com>
Date: Mon, 11 Aug 2025 15:52:43 +0500
Subject: [PATCH 30/38] Elimated the use of Intewnt classifier agent and merged
 the functionality within the QA possibility agent

---
 screenshot.png                                | Bin 1217138 -> 0 bytes
 .../deep_research/deep_research_agent.py      |  32 +--
 src/agent/intent_classifier/README.md         |  68 -----
 src/agent/intent_classifier/agent.py          |  44 ----
 src/agent/intent_classifier/output.py         |  62 -----
 src/agent/intent_classifier/prompt.py         |  70 -----
 src/agent/orchestrator/agent_orchestrator.py  | 249 ++++++++++++++----
 src/agent/prompt_enahncer/agent.py            |  11 +-
 src/agent/prompt_enahncer/output.py           |  14 +-
 src/agent/prompt_enahncer/prompt.py           |  41 ++-
 src/agent/qa_possibilty_checker/agent.py      |  26 +-
 src/agent/qa_possibilty_checker/output.py     |  82 ++++--
 src/agent/qa_possibilty_checker/prompt.py     |  70 +++--
 src/agent/snippet_extractor/README.md         | 167 ------------
 src/agent/snippet_extractor/agent.py          | 173 ------------
 src/agent/snippet_extractor/output.py         |   6 -
 src/agent/snippet_extractor/prompt.py         | 186 -------------
 17 files changed, 382 insertions(+), 919 deletions(-)
 delete mode 100644 screenshot.png
 delete mode 100644 src/agent/intent_classifier/README.md
 delete mode 100644 src/agent/intent_classifier/agent.py
 delete mode 100644 src/agent/intent_classifier/output.py
 delete mode 100644 src/agent/intent_classifier/prompt.py
 delete mode 100644 src/agent/snippet_extractor/README.md
 delete mode 100644 src/agent/snippet_extractor/agent.py
 delete mode 100644 src/agent/snippet_extractor/output.py
 delete mode 100644 src/agent/snippet_extractor/prompt.py

diff --git a/screenshot.png b/screenshot.png
deleted file mode 100644
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GIT binary patch
literal 0
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diff --git a/src/agent/deep_research/deep_research_agent.py b/src/agent/deep_research/deep_research_agent.py
index 05400dcf..9f04ef29 100644
--- a/src/agent/deep_research/deep_research_agent.py
+++ b/src/agent/deep_research/deep_research_agent.py
@@ -35,9 +35,7 @@
 from src.browser.custom_browser import CustomBrowser
 from src.controller.custom_controller import CustomController
 from src.utils.mcp_client import setup_mcp_client_and_tools
-from src.agent.intent_classifier.agent import IntentClassifierAgent
 from src.webpage.webpage_checker import WebpageChecker
-from src.agent.snippet_extractor.agent import SnippetExtractorAgent
 from src.agent.qa_possibilty_checker.agent import QAPossibilityChecker
 from src.agent.prompt_enahncer.agent import PromptEnhancerAgent
 
@@ -380,15 +378,6 @@ class DeepResearchState(TypedDict):
 
 # --- Langgraph Nodes ---
 
-def intent_classifier(state: DeepResearchState) -> DeepResearchState:
-    logger.info("\n\n INTENT CLASSIFIER NODE...\n")
-        
-    output = IntentClassifierAgent(state["user_query"]).run_agent()
-    state["intent_check"] = output.intent
-    state["inten_agent_msg"] = output.agent_msg
-        
-    return state # return the states values to continue the graph
-    
 def webpage_checker(state: DeepResearchState) -> DeepResearchState:
     logger.info("\n\n WEBPAGE CHECKER NODE...\n")
     output = WebpageChecker(state["url"]).exists()
@@ -440,15 +429,6 @@ def prompt_enhancer(state: DeepResearchState) -> DeepResearchState:
 
 # --- langgraph edges ---
 
-def _intent_condition(state: DeepResearchState):
-        # this is our intent conditional edge 
-    intent_check = state.get("intent_check")
-    if intent_check:  # if true then we continue to snippet_extractor
-        return "webpage_checker"  # if intent is not QA related, check webpage
-    else:
-        return "end_run"  # if intent is not QA related, end the graph
-    
-    
 def _webpage_condition(state: DeepResearchState):
         # this is our intent conditional edge 
     webpage_check = state.get("webpage_check")
@@ -1192,7 +1172,6 @@ def _compile_graph(self) -> StateGraph:
         workflow = StateGraph(DeepResearchState)
 
         # Add nodes
-        workflow.add_node("intent_classifier", intent_classifier)
         workflow.add_node("webpage_checker", webpage_checker)
         workflow.add_node("snippet_extractor", snippet_extractor)
         workflow.add_node("QA_possibility", QA_possibility)
@@ -1206,17 +1185,8 @@ def _compile_graph(self) -> StateGraph:
         )  # Simple end node
 
         # Define edges
-        workflow.set_entry_point("intent_classifier")
+        workflow.set_entry_point("webpage_checker")
 
-        workflow.add_conditional_edges(
-            "intent_classifier",
-          _intent_condition,
-            {
-                "webpage_checker": "webpage_checker",
-               "end_run": "end_run"
-            }
-        )
-            
         workflow.add_conditional_edges(
             "webpage_checker",
             _webpage_condition,
diff --git a/src/agent/intent_classifier/README.md b/src/agent/intent_classifier/README.md
deleted file mode 100644
index 88859a67..00000000
--- a/src/agent/intent_classifier/README.md
+++ /dev/null
@@ -1,68 +0,0 @@
-
-The Intent Classifier Agent is the first component in our AI-based QA automation system. Its main role is to decide whether a user's request is about testing a webpage or completely unrelated. This helps the system ignore non-testing prompts early, saving time and resources.
-
-What This Agent Does
-- When a user sends a message like: "Check if the login button works"
-- The Intent Classifier Agent will recognize this as a valid QA task and pass it on to the next agent in the  chain.
-
-- But if the user says: "How do I use ChatGPT to write an essay?"
-- Then the agent will mark it as not related to QA, and the system will stop there.
-
-The agent gives a simple true or false answer in this format:
-
-{ "intent": true }
-or
-{ "intent": false }
-
-How It Works – File by File
-
-1. agent.py – The Agent Logic
-This file contains the class IntentClassifierAgent, which manages the entire logic. It does three main things:
-
-    a. __init__(self, user_prompt: str):
-        This function is called when we first create the agent. It:
-        - Stores the user’s input (their message)
-        - Loads the classification prompt
-        - Tells the system which output structure to expect (a Pydantic class)
-    
-    b. run_agent(self) -> IntentClassifierOutput:
-        This function starts the classification process. It:
-        - Logs that the agent is running
-        - Sends everything (prompt, input, expected output format) to a helper function called run_main_agent which handles actual interaction with the AI model
-        - Returns the result (either true or false)
-
-
-2. prompt.py – The Instruction for the AI
-This file contains a variable called agents_prompt, which is the natural-language instruction given to the AI model. It includes:
-
-    - Clear criteria for what counts as a QA-related task
-    - A few examples of QA prompts vs. non-QA prompts (few shot learning technique)
-    - A placeholder {input} where the user’s query is inserted
-    - This prompt ensures the AI is focused on classifying only QA-relevant commands.
-
-3. output.py – The Output Schema
-This file defines a simple Pydantic model called IntentClassifierOutput:
-
-    - class IntentClassifierOutput(BaseModel):
-        intent: bool
-
-    - This means the final answer must look like this:
-        { "intent": true } 
-               or
-        { "intent": false }
-
-This structured format makes it easy for the next parts of the system to read and act on.
-
-How It Fits in the Big Picture
-This agent is the first step in the AI pipeline.
-
-If the user request is QA-related (intent: true), we move on to the Snippet Extractor Agent.
-If it’s not QA-related (intent: false), the workflow stops early, saving time and computation.
-This makes our system more intelligent, cost-efficient, and focused.
-
-Summary
-Goal: Filter out non-QA requests
-Input: A single user message
-Output: { "intent": true } or { "intent": false }
-Key Files: agent.py, prompt.py, output.py
-Next Step: Trigger next agent only if intent is true
\ No newline at end of file
diff --git a/src/agent/intent_classifier/agent.py b/src/agent/intent_classifier/agent.py
deleted file mode 100644
index c22c0ead..00000000
--- a/src/agent/intent_classifier/agent.py
+++ /dev/null
@@ -1,44 +0,0 @@
-import logging
-from .output import IntentClassifierOutput
-from .prompt import agents_prompt
-from ..main_agent.agent import run_main_agent
-import logging
-from typing import Any
-from ...websocket.websocket_manager import send_ws_message
-logger = logging.getLogger(__name__)
-
-class IntentClassifierAgent:
-    def __init__(self, llm: Any, user_prompt: str,message_callback=None) -> None:
-        
-        logger.info("Initializing IntentClassifierAgent")
-        self.output_pydantic_class = IntentClassifierOutput
-        self.llm = llm
-        self.agent_prompt = agents_prompt
-        self.user_prompt = user_prompt
-        self.message_callback = message_callback
-
-    async def run_agent(self) -> IntentClassifierOutput:
-        logger.info(f"Running Intent Classifier Agent....")
-        logger.info(f"run_main_agent is: {run_main_agent}")  # 🪵 This will help debug
-        
-        if self.message_callback:
-            await self.message_callback("----------------------------")
-            await self.message_callback("  '🟢 START: Intent Classifier Agent Started...' ")
-            await self.message_callback(f"📥 User Input: {self.user_prompt}")
-
-        output =await run_main_agent(
-            output_pydantic_class=self.output_pydantic_class,
-            agents_name="Intent Classifier Agent",
-            agents_prompt=self.agent_prompt,
-            input_to_prompt={
-                "input": self.user_prompt
-            },
-            model_name=self.llm,
-            message_callback=self.message_callback
-        )
-        
-        if self.message_callback:
-            await self.message_callback("Intent Classifier Agent is finished.") 
-            await self.message_callback("----------------------------") 
-        logger.info(f"Intent Classifier Agent finished. Output: {output}")
-        return output
diff --git a/src/agent/intent_classifier/output.py b/src/agent/intent_classifier/output.py
deleted file mode 100644
index 13340459..00000000
--- a/src/agent/intent_classifier/output.py
+++ /dev/null
@@ -1,62 +0,0 @@
-from typing import Dict, Optional
-from pydantic import BaseModel
-
-class IntentClassifierOutput(BaseModel):
-    agent_msg: str
-    intent: bool
-    modified_prompt: Optional[str] = ""
-
-    def custom_validate(self) -> Dict:
-        print("custom_validate is running in the intent classifier")
-
-        # Blocking keywords that indicate intent is not QA/testing-related
-        blocking_keywords = [
-           "color", "hover", "animation", "font", "design", "appearance"
-        ]
-
-        msg_lower = self.agent_msg.lower()
-        contains_blocking = any(kw in msg_lower for kw in blocking_keywords)
-
-        # 1. agent_msg should not be empty
-        if not self.agent_msg.strip():
-            return {
-                "is_valid": False,
-                "should_retry": True,
-                "error": "Missing agent_msg.",
-                "retry_prompt": "Please include a valid agent_msg explaining the intent classification."
-            }
-
-        # 2. intent == False should not have a modified_prompt
-        if not self.intent and self.modified_prompt:
-            return {
-                "is_valid": False,
-                "should_retry": True,
-                "error": "Intent is false but modified_prompt is not empty.",
-                "retry_prompt": "If the query is not QA-related, remove the modified prompt."
-            }
-
-        # 3. intent == True but contains blocking (non-QA) keywords → contradiction
-        if self.intent and contains_blocking:
-            return {
-                "is_valid": False,
-                "should_retry": True,
-                "error": "Contradiction: Intent marked True but message implies user wants to perform functionality (not QA).",
-                "retry_prompt": "Intent should be False for functional or transactional queries. Please correct it."
-            }
-
-        # 4. intent == False but NO reason is given
-        if not self.intent and "not QA" not in msg_lower and not contains_blocking:
-            return {
-                "is_valid": False,
-                "should_retry": True,
-                "error": "Intent marked False, but explanation is unclear or missing.",
-                "retry_prompt": "Please explain clearly why the query is not QA-related."
-            }
-
-        # ✅ All is valid
-        return {
-            "is_valid": True,
-            "should_retry": False,
-            "error": None,
-            "retry_prompt": ""
-        }
diff --git a/src/agent/intent_classifier/prompt.py b/src/agent/intent_classifier/prompt.py
deleted file mode 100644
index 73a03697..00000000
--- a/src/agent/intent_classifier/prompt.py
+++ /dev/null
@@ -1,70 +0,0 @@
-agents_prompt = """
-You are an intent classification agent. Your task is to determine whether a user query is related to QA (Quality Assurance)/ testing of a website or not.
-
-If the query is releated to QA, make sure it is not abou the UI as an test hoover effect, test color etc.
-
-Criteria:
-- Classify as *true* if the query relates to QA testing of a webpage/website.
-- Classify as **false** if the query is about something unrelated to webpage QA
-
-Examples:
-
-Example 1:
-User query: "Write a Playwright test that checks if a button is clickable"
-Output: {{ "intent": true }}
-
-Example 2:
-User query: "Verify if the submit form renders correctly on the homepage"
-Output: {{ "intent": true }}
-
-Example 3:
-User query: "please buy this on the website"
-Output: {{ "intent": true }}
-
-Example 4:
-User query: "How do I use OpenAI's API to generate text?"
-Output: {{ "intent": false }}
-
-Example 5:
-User query: "Can you summarize this PDF document?"
-Output: {{ "intent": false }}
-
-Example 6:
-User query: "Please test if the color of the button is blue".
-Output:
-{{ 
-agent_msg: "UI elements cannot be tested"
-intent": false 
-}}
-
-Example 7:
-User query: "Please test the submit button along with the hoover animation".
-Output: 
-{{ 
-agent_msg: "WARNING: Animaton or UI elements cannot be tested. Moving forward with the new steps"
-intent": true 
-}}
-
-- If the user query involves proper functionality testing and also UI testing, output "true" with a "WARNING: UI CANNOT BE TESTED" in the agent_msg key.
-- If the user query involves just UI or animation testing, output "false" with a "UI or animations CANNOT BE TESTED" in the agent_msg key.
-
-Now classify the following user query:
-User query: "{input}"
-
-- Always make sure that performing any sought of functionality would also be considered as SQA because user might sometimes just ask simply to do this/that on the website. 
-
-- When modifyin the prompt, always include the url that has been orginally given by the user.
-
-Output Structre:
-Return the result as a JSON object in the following format ONLY:
-{ 
-    "agent_msg": "The intent is realted to QA"
-    "intent": true 
-    "modified_prompt": (new prompt without the UI or animation testing or just nothing like this "")
-} 
-or 
-{
-    "agent_msg": "The intent is not realted to QA"
-    "intent": false 
-}
-"""
diff --git a/src/agent/orchestrator/agent_orchestrator.py b/src/agent/orchestrator/agent_orchestrator.py
index cf9cb508..2634e859 100644
--- a/src/agent/orchestrator/agent_orchestrator.py
+++ b/src/agent/orchestrator/agent_orchestrator.py
@@ -3,10 +3,7 @@
 import os
 from typing import TypedDict, Any, Dict
 from browser_use.agent.views import AgentHistoryList
-
-from src.agent.intent_classifier.agent import IntentClassifierAgent
 from src.webpage.webpage_checker import WebpageChecker
-from src.agent.snippet_extractor.agent import SnippetExtractorAgent
 from src.agent.qa_possibilty_checker.agent import QAPossibilityChecker
 from src.agent.prompt_enahncer.agent import PromptEnhancerAgent
 from src.agent.browser_use.browser_use_agent import BrowserUseAgent
@@ -16,7 +13,6 @@
 
 
 
-
 logger = logging.getLogger(__name__)
 
 class State(TypedDict):
@@ -26,6 +22,7 @@ class State(TypedDict):
     browser_context: Any
     controller: Any
 
+    # Intent classification fields (now handled by QA possibility checker)
     intent_check: bool
     intent_agent_msg: str
     prompt_without_ui: str
@@ -85,26 +82,14 @@ def __init__(
 
         self.builder = StateGraph(State)
 
-        self.builder.add_node("intent_classifier", self.intent_classifier)
         self.builder.add_node("webpage_checker", self.webpage_checker)
-        # self.builder.add_node("snippet_extractor", self.snippet_extractor)
         self.builder.add_node("take_screenshot", self.take_screenshot)
         self.builder.add_node("get_image_fileId", self.get_image_fileId)
         self.builder.add_node("QA_possibility", self.QA_possibility)
         self.builder.add_node("prompt_enhancer", self.prompt_enhancer)
         self.builder.add_node("browser_ui", self.browser_ui)
 
-
-        self.builder.add_edge(START, "intent_classifier")
-
-        self.builder.add_conditional_edges(
-            "intent_classifier",
-            self._intent_condition,
-            {
-                "webpage_checker": "webpage_checker",
-                "__end__": END
-            }
-        )
+        self.builder.add_edge(START, "webpage_checker")
 
         self.builder.add_conditional_edges(
             "webpage_checker",
@@ -141,26 +126,21 @@ def __init__(
             }
         )
 
-        self.builder.add_edge("prompt_enhancer", "browser_ui")
+        # Add conditional edge for prompt_enhancer to handle intent classification
+        self.builder.add_conditional_edges(
+            "prompt_enhancer",
+            self._prompt_enhancer_condition,
+            {
+                "browser_ui": "browser_ui",
+                "__end__": END
+            }
+        )
+
         self.builder.add_edge("browser_ui", END)
 
         self.graph = self.builder.compile()
         self._store_graph_image(self.graph)
 
-    async def intent_classifier(self, state: State) -> State:
-        logger.info("\n\n INTENT CLASSIFIER NODE...\n")
-        output =await IntentClassifierAgent(llm=self.llm, user_prompt=self.user_query,message_callback=self.message_callback).run_agent()
-        state["intent_check"] = output.intent
-        state["intent_agent_msg"] = output.agent_msg
-
-        new_intent_prompt = self._get_output_value(output, "modified_prompt", "")
-        if new_intent_prompt:
-            logger.info(f"Modified user query: {new_intent_prompt}")
-            state["prompt_without_ui"] = new_intent_prompt
-        else:
-            logger.info("No modifications made to the user query.")
-        
-        return state
 
     async def webpage_checker(self, state: State) -> State:
         logger.info("\n\n WEBPAGE CHECKER NODE...\n")
@@ -275,29 +255,69 @@ async def get_image_fileId(self, state: State) -> State:
         return state
 
     async def QA_possibility(self, state: State) -> State:
-        logger.info("\n\n QA POSSIBILTY CHECKER AGENT...\n")
+        logger.info("\n\n QA POSSIBILITY CHECKER AGENT (with Intent Classification)...\n")
 
-        user_prompt = state.get("prompt_without_ui", self.user_query)
-        output =await QAPossibilityChecker(
-            llm=self.llm,
-            user_prompt=user_prompt,
-            image_file_id=state["image_fileId"],
-            message_callback=self.message_callback
-        ).run_agent()
-        state["QA_possibility_agent_msg"] = output.agent_msg
-        state["QA_possibility_check"] = output.qa_possibility
-        return state
+        try:
+            user_prompt = state.get("prompt_without_ui", self.user_query)
+            print(f"Running QA possibility checker with user_prompt: {user_prompt}")
+            print(f"Image file ID: {state.get('image_fileId', 'NOT SET')}")
+            
+            output = await QAPossibilityChecker(
+                llm=self.llm,
+                user_prompt=user_prompt,
+                image_file_id=state["image_fileId"],
+                message_callback=self.message_callback
+            ).run_agent()
+            
+            print(f"QA possibility output: {output}")
+            print(f"Output type: {type(output)}")
+            print(f"Output attributes: {dir(output)}")
+            
+            # Handle intent classification (now part of QA possibility checker)
+            state["intent_check"] = output.intent
+            state["intent_agent_msg"] = output.agent_msg
+
+            print(f"Intent: {state['intent_check']}, QA Possibility: {state.get('QA_possibility_check', 'NOT SET')}")
+            
+            # Handle modified prompt from intent classification
+            new_intent_prompt = self._get_output_value(output, "modified_prompt", "")
+            if new_intent_prompt:
+                logger.info(f"Modified user query: {new_intent_prompt}")
+                state["prompt_without_ui"] = new_intent_prompt
+            
+            # Handle QA possibility
+            state["QA_possibility_agent_msg"] = output.agent_msg
+            state["QA_possibility_check"] = output.qa_possibility
+
+            print(f"Intent: {state['intent_check']}, QA Possibility: {state['QA_possibility_check']}")
+            print(f"State after QA possibility: {state}")
+            
+            logger.info(f"\n\nIntent: {state['intent_check']}, QA Possibility: {state['QA_possibility_check']}")
+            return state
+            
+        except Exception as e:
+            logger.error(f"Error in QA possibility checker: {e}")
+            import traceback
+            traceback.print_exc()
+            # Set default values in case of error
+            state["intent_check"] = False
+            state["intent_agent_msg"] = f"Error in QA possibility checker: {e}"
+            state["QA_possibility_agent_msg"] = f"Error in QA possibility checker: {e}"
+            state["QA_possibility_check"] = False
+            return state
 
     async def prompt_enhancer(self, state: State) -> State:
         logger.info("\n\n PROMPT ENHANCER AGENT...\n")
 
         user_prompt = state.get("prompt_without_ui", self.user_query)
-        output =await PromptEnhancerAgent(
+        output = await PromptEnhancerAgent(
             llm=self.llm,
             user_prompt=user_prompt,
             image_file_id=state['image_fileId'],
             message_callback=self.message_callback
         ).run_agent()
+        
+        # Handle enhanced prompt
         state['enhanced_prompt_agent_msg'] = output.agent_msg
         state['enhanced_prompt'] = output.enhanced_prompt
 
@@ -360,7 +380,29 @@ def _get_image_fileId_condition(self, state: State) -> Any:
         return "QA_possibility" if state.get("image_fileId") else END
 
     def _QA_possibility_condition(self, state: State) -> Any:
-        return "prompt_enhancer" if state.get("QA_possibility_check") else END
+        # Check if intent is true and QA is possible
+        # If intent is false, stop the flow with error message
+        intent_check = state.get("intent_check", False)
+        qa_possibility_check = state.get("QA_possibility_check", False)
+        
+        print(f"QA possibility condition check - Intent: {intent_check}, QA Possibility: {qa_possibility_check}")
+        
+        if not intent_check:
+            # Intent is not related to QA, stop the flow
+            print("Stopping flow: Intent is not QA-related")
+            return END
+        elif intent_check and qa_possibility_check:
+            # Intent is true and QA is possible, continue to prompt enhancer
+            print("Continuing to prompt enhancer: Intent and QA possibility both true")
+            return "prompt_enhancer"
+        else:
+            # Intent is true but QA is not possible, stop the flow
+            print("Stopping flow: Intent is QA-related but QA is not possible")
+            return END
+
+    def _prompt_enhancer_condition(self, state: State) -> Any:
+        # Check if enhanced prompt exists
+        return "browser_ui" if state.get("enhanced_prompt") else END
 
     async def run(self, task: str, browser: Any = None, browser_context: Any = None, controller: Any = None) -> AgentHistoryList:
         try:
@@ -374,11 +416,117 @@ async def run(self, task: str, browser: Any = None, browser_context: Any = None,
             
             final_state = await self.graph.ainvoke(initial_state)
             
-            # Create a base state dictionary with default values
+            # Check if intent classification or QA possibility failed
+            intent_check = final_state.get("intent_check", False)
+            intent_msg = final_state.get("intent_agent_msg", "")
+            qa_possibility_check = final_state.get("QA_possibility_check", False)
+            
+            if not intent_check:
+                # Intent is not related to QA, return error message
+                current_state = {
+                    "intent_classification": {
+                        "intent": False,
+                        "message": intent_msg or "Intent is not related to QA testing"
+                    },
+                    "webpage_check": {
+                        "check": final_state.get("webpage_check", False),
+                        "message": final_state.get("webpage_msg", "")
+                    },
+                    "snippet_extraction": {
+                        "check": False,
+                        "message": "",
+                        "snippet": ""
+                    },
+                    "qa_possibility": {
+                        "check": False,
+                        "message": "No QA possibility check needed - intent not QA-related"
+                    },
+                    "enhanced_prompt": {
+                        "prompt": "",
+                        "message": "No prompt enhancement needed - intent not QA-related"
+                    },
+                    "evaluation_previous_goal": "Intent classification failed",
+                    "memory": "Task stopped due to non-QA intent",
+                    "next_goal": "Task stopped"
+                }
+                
+                return AgentHistoryList(
+                    history=[
+                        {
+                            "model_output": {
+                                "current_state": current_state,
+                                "action": []
+                            },
+                            "result": [{
+                                "is_done": True,
+                                "success": False,
+                                "extracted_content": f"Error: {intent_msg or 'Intent is not related to QA testing. Please provide a QA-related query.'}"
+                            }],
+                            "state": {
+                                "title": "",
+                                "tabs": [],
+                                "interacted_element": [],
+                                "url": self.url
+                            }
+                        }
+                    ]
+                )
+            elif intent_check and not qa_possibility_check:
+                # Intent is QA-related but QA is not possible on the snippet
+                current_state = {
+                    "intent_classification": {
+                        "intent": True,
+                        "message": intent_msg
+                    },
+                    "webpage_check": {
+                        "check": final_state.get("webpage_check", False),
+                        "message": final_state.get("webpage_msg", "")
+                    },
+                    "snippet_extraction": {
+                        "check": False,
+                        "message": "",
+                        "snippet": ""
+                    },
+                    "qa_possibility": {
+                        "check": False,
+                        "message": final_state.get("QA_possibility_agent_msg", "")
+                    },
+                    "enhanced_prompt": {
+                        "prompt": "",
+                        "message": "No prompt enhancement needed - QA not possible on snippet"
+                    },
+                    "evaluation_previous_goal": "QA possibility check failed",
+                    "memory": "Task stopped due to QA not being possible on the snippet",
+                    "next_goal": "Task stopped"
+                }
+                
+                return AgentHistoryList(
+                    history=[
+                        {
+                            "model_output": {
+                                "current_state": current_state,
+                                "action": []
+                            },
+                            "result": [{
+                                "is_done": True,
+                                "success": False,
+                                "extracted_content": f"Error: {final_state.get('QA_possibility_agent_msg', 'QA is not possible on the extracted snippet.')}"
+                            }],
+                            "state": {
+                                "title": "",
+                                "tabs": [],
+                                "interacted_element": [],
+                                "url": self.url
+                            }
+                        }
+                    ]
+                )
+            
+            # Create a base state dictionary with default values for successful execution
             current_state = {
                 "intent_classification": {
-                    "intent": final_state.get("intent_check", False),
-                    "message": final_state.get("intent_agent_msg", "")
+                    "intent": intent_check,
+                    "message": intent_msg
                 },
                 "webpage_check": {
                     "check": final_state.get("webpage_check", False),
@@ -409,15 +557,10 @@ async def run(self, task: str, browser: Any = None, browser_context: Any = None,
                             "current_state": current_state,
                             "action": []  # Empty list for actions
                         },
-                        # "result": [{
-                        #     "type": "success",
-                        #     "message": final_state.get("browser_result", "Task completed successfully")
-                        # }],
                         "result": [{
                             "is_done": True,
                             "success": True,
                             "extracted_content": str(final_state.get("browser_result", "Task completed successfully"))
-
                         }],
                         "state": {
                             "title": "",
diff --git a/src/agent/prompt_enahncer/agent.py b/src/agent/prompt_enahncer/agent.py
index 313c3f84..b7cfc336 100644
--- a/src/agent/prompt_enahncer/agent.py
+++ b/src/agent/prompt_enahncer/agent.py
@@ -17,10 +17,10 @@ def __init__(self,llm: str, user_prompt: str, image_file_id: str,message_callbac
 
     async def run_agent(self) -> PromptEnhancerOutput: 
         if self.message_callback:
-            await self.message_callback(" 🟢 START:  Prompt Enhanced Agent ")
+            await self.message_callback(" 🟢 START:  Prompt Enhancer Agent ")
             await self.message_callback(f"📥 User Input: {self.user_prompt}")
 
-        output =await run_main_agent(
+        output = await run_main_agent(
             output_pydantic_class=self.output_pydantic_class,
             agents_name="Prompt Enhancer Agent",
             agents_prompt=self.agent_prompt,
@@ -31,8 +31,11 @@ async def run_agent(self) -> PromptEnhancerOutput:
             model_name=self.llm,
             message_callback=self.message_callback
         )
+        
         if self.message_callback:
-            await self.message_callback(" Prompt Enhanced Agent is finished.")
+            await self.message_callback(f"📝 Enhanced Prompt: {output.enhanced_prompt}")
+            await self.message_callback(" Prompt Enhancer Agent is finished.")
             await self.message_callback("----------------------------")
-        logger.info(f"Prompt Enhancers Agent finished...")
+        
+        logger.info(f"Prompt Enhancer Agent finished. Enhanced Prompt: {output.enhanced_prompt}")
         return output
\ No newline at end of file
diff --git a/src/agent/prompt_enahncer/output.py b/src/agent/prompt_enahncer/output.py
index c6f92838..cf1da4b3 100644
--- a/src/agent/prompt_enahncer/output.py
+++ b/src/agent/prompt_enahncer/output.py
@@ -1,4 +1,4 @@
-from typing import Dict
+from typing import Dict, Optional
 from pydantic import BaseModel
 
 class PromptEnhancerOutput(BaseModel):
@@ -18,6 +18,16 @@ def custom_validate(self) -> Dict:
         prompt_lower = self.enhanced_prompt.lower()
         contains_blocked = any(kw in prompt_lower for kw in blocking_keywords)
 
+        # 1. agent_msg should not be empty
+        if not self.agent_msg.strip():
+            return {
+                "is_valid": False,
+                "should_retry": True,
+                "error": "Missing agent_msg.",
+                "retry_prompt": "Please include a valid agent_msg explaining the prompt enhancement."
+            }
+
+        # 2. Check if enhanced prompt contains non-functional QA terms
         if contains_blocked:
             return {
                 "is_valid": False,
@@ -26,7 +36,7 @@ def custom_validate(self) -> Dict:
                 "retry_prompt": "Remove references to UI, design, or animations. Focus only on functionality testing."
             }
 
-        # ✅ Valid if no blocking keywords found
+        # ✅ All is valid
         return {
             "is_valid": True,
             "should_retry": False,
diff --git a/src/agent/prompt_enahncer/prompt.py b/src/agent/prompt_enahncer/prompt.py
index a5bff796..00920708 100644
--- a/src/agent/prompt_enahncer/prompt.py
+++ b/src/agent/prompt_enahncer/prompt.py
@@ -1,29 +1,44 @@
-agents_prompt = """You are an prompt enahncer agent with over 10 years of experince in ehancing user prompt for SQA purposes.
+agents_prompt = """You are a prompt enhancer agent with over 10 years of experience in enhancing user prompts for SQA purposes.
+
 You will be provided with a user query which primarily will be a qa test to perform and web page screenshot on which the tests will be performed.
-Your job is to analyse the user prompt, and enahnce it to perform best sqa on the web page screenshot accordingly.
+
+Your job is to enhance the prompt to perform best SQA on the web page screenshot accordingly.
 
 ' User QA prompt ': "{input}"
 ' Web Page ': "{image_file_id}"
 
-- You can always enter some sample data to test IF not entered by the user
-- Always make sure not too make the enahnced prompt too lengthy
-- Strictly make sure that the the user prompt is only instructions regarding to perform QA only.
 
+
+## Prompt Enhancement Guidelines:
+- You can always enter some sample data to test IF not entered by the user
+- Always make sure not to make the enhanced prompt too lengthy
+- Strictly make sure that the user prompt is only instructions regarding to perform QA only
 - Do not worry about tags or do not change the user query to an extent that it makes it difficult to QA
-- Always make sure that the ' Web Page ' is for your help, do not extract or change the user prompt by extractng text from the ' Web Page '
+- Always make sure that the ' Web Page ' is for your help, do not extract or change the user prompt by extracting text from the ' Web Page '
+- Also make sure that if the user has entered partial prompts like "fill this field in the form" and then there are more field, always mention that also fill the other remaining fields carefully
+- If the user asks to test input fields, forms or anything that requires input data, make sure to generate random data if not provided according the extracted snippet to fill them so that it could be tested
+- Do not enhance the prompt to test UI/animations of a webpage please
+- If the user has prompt to test the UI/animation, please get rid of that part in the prompt, and enhance only the functionality testing part
+- Make sure that the url is always mentioned in the prompt
+
+## Examples:
 
-- Also make sure that if the user has enetered partial prompts like "fill this field in the form" and then there are more field, always mention that also fill the other remaining fields carefully.
-- If the user asks to test input fields, forms or anything that requires input data, make sure to generate random data if not provided according the extracted snippet to fill them so that it could be tested.
+Example 1:
+User query: "Write a Playwright test that checks if a button is clickable"
+Output: {{ "agent_msg": "The prompt has been enhanced", "enhanced_prompt": "1. Navigate to the webpage. 2. Locate the button element. 3. Verify the button is visible and enabled. 4. Click the button. 5. Verify the expected action occurs." }}
 
-- Do not enhance the prompt to test UI/animations of a webpage please.
-- If the user has prompt to test the UI/animation, please get rid of that part in the prompt, and enhance only the functionality testing part.
+Example 2:
+User query: "Verify if the submit form renders correctly on the homepage"
+Output: {{ "agent_msg": "The prompt has been enhanced", "enhanced_prompt": "1. Navigate to the homepage. 2. Locate the submit form. 3. Verify all form fields are present and visible. 4. Test form submission functionality." }}
 
-- Make sure that the url is always mentioned in the prompt.
+Example 3:
+User query: "please buy this on the website"
+Output: {{ "agent_msg": "The prompt has been enhanced", "enhanced_prompt": "1. Navigate to the product page. 2. Locate the purchase/buy button. 3. Click the buy button. 4. Verify the purchase process initiates." }}
 
 Output Structure:
 Return the result as a JSON object in the following format ONLY:
 { 
-    "agent_msg": "The prompt has been enhanced"
-    "enhanced_prompt": " (the enahnced prompt)"
+    "agent_msg": "The prompt has been enhanced",
+    "enhanced_prompt": "1. Step one. 2. Step two. 3. Step three..."
 }
 """
\ No newline at end of file
diff --git a/src/agent/qa_possibilty_checker/agent.py b/src/agent/qa_possibilty_checker/agent.py
index 9377c511..3aba23a8 100644
--- a/src/agent/qa_possibilty_checker/agent.py
+++ b/src/agent/qa_possibilty_checker/agent.py
@@ -31,23 +31,37 @@ async def run_agent(self) -> QAPossibilityCheckerOutput:
 
         if self.message_callback:
             await self.message_callback("----------------------------")
-            await self.message_callback(" 🟢 START: QAPossibility checker Agent Started... ")
+            await self.message_callback(" 🟢 START: QA Possibility Checker Agent (with Intent Classification) Started... ")
             await self.message_callback(f"📥 User Input: {self.user_prompt} and image_file_id: {self.image_file_id}")
 
-        output =await run_main_agent(
+        output = await run_main_agent(
             output_pydantic_class=self.output_pydantic_class,
-            agents_name="QA POSSIBILTY CHECKER",
+            agents_name="QA POSSIBILITY CHECKER",
             agents_prompt=self.agent_prompt,
             input_to_prompt={
-            "input": self.user_prompt,
-            "image_file_id": self.image_file_id
+                "user_prompt": self.user_prompt,
+                "image_file_id": self.image_file_id
             },
             model_name=self.llm,
             message_callback=self.message_callback
         )
 
+        # Log the intent classification and QA possibility results
         if self.message_callback:
+            if not output.intent:
+                await self.message_callback(f"❌ Intent Classification: Query not QA-related")
+                await self.message_callback(f"💬 Reason: {output.agent_msg}")
+            elif output.intent and not output.qa_possibility:
+                await self.message_callback(f"✅ Intent Classification: QA-related query detected")
+                await self.message_callback(f"❌ QA Possibility: Not possible on this snippet")
+                await self.message_callback(f"💬 Reason: {output.agent_msg}")
+            else:
+                await self.message_callback(f"✅ Intent Classification: QA-related query detected")
+                await self.message_callback(f"✅ QA Possibility: Possible on this snippet")
+                await self.message_callback(f"💬 Message: {output.agent_msg}")
+            
             await self.message_callback("QA Possibility Checker is finished.")
             await self.message_callback("----------------------------") 
-        logger.info(f"QA Possibilty Checker finished Output...: {output}")
+        
+        logger.info(f"QA Possibility Checker finished. Intent: {output.intent}, QA Possibility: {output.qa_possibility}, Message: {output.agent_msg}")
         return output
diff --git a/src/agent/qa_possibilty_checker/output.py b/src/agent/qa_possibilty_checker/output.py
index b7c5572f..6579ccbc 100644
--- a/src/agent/qa_possibilty_checker/output.py
+++ b/src/agent/qa_possibilty_checker/output.py
@@ -7,50 +7,94 @@
 class QAPossibilityCheckerOutput(BaseModel):
     agent_msg: str
     qa_possibility: bool
+    intent: bool  # Added: intent classification result
+    modified_prompt: str = ""  # Added: modified prompt from intent classification
 
     def custom_validate(self) -> Dict:
-        """Custom validation for QA Possibility Checker"""
+        """Custom validation for QA Possibility Checker with Intent Classification"""
         logger.info(" \nRunning custom_validate for QAPossibilityCheckerOutput \n")
 
+        # Keywords that indicate non-functional QA (UI/Animation etc.)
+        intent_blocking_keywords = [
+            "ui", "user interface", "animations", "visual", "layout", 
+            "transition", "hover effect", "color scheme", "font style",
+            "font size", "parallax", "css effect", "design", "theme",
+            "shadow", "responsive layout", "look and feel", "style", "alignment"
+        ]
+
         # Phrases that indicate QA might not be possible or contradict QA possibility
-        blocking_keywords = [
+        qa_blocking_keywords = [
             "not clickable", "QA is not possible", 
             "no indication", "no visual presence", "static image", "cannot interact",
             "no display", "requires live webpage", "screenshot insufficient",
             "without the image", "unclear whether", "no mention", "does not show"
-            
         ]
 
         msg_lower = self.agent_msg.lower()
-        contains_blocking_phrase = any(kw in msg_lower for kw in blocking_keywords)
+        contains_qa_blocking = any(kw in msg_lower for kw in qa_blocking_keywords)
+        contains_intent_blocking = any(kw in msg_lower for kw in intent_blocking_keywords)
 
-        # logger.debug(f"Agent message: {self.agent_msg}")
-        # logger.debug(f"QA possibility: {self.qa_possibility}")
-        # logger.debug(f"Detected blocking keyword: {contains_blocking_phrase}")
+        # Intent Classification Validation
+        # 1. agent_msg should not be empty
+        if not self.agent_msg.strip():
+            return {
+                "is_valid": False,
+                "should_retry": True,
+                "error": "Missing agent_msg.",
+                "retry_prompt": "Please include a valid agent_msg explaining the intent classification and QA possibility."
+            }
 
-        # Case 1: Should be possible but explanation contradicts that
-        if self.qa_possibility and contains_blocking_phrase:
-            logger.warning(" Contradiction: QA is marked possible but message includes blocking keywords.\n")
+        # 2. intent == False should not have a modified_prompt or qa_possibility == True
+        if not self.intent and (self.modified_prompt or self.qa_possibility):
             return {
                 "is_valid": False,
                 "should_retry": True,
-                "error": "Contradiction: QA possible but message says it's not",
-                "retry_prompt": "Please resolve the contradiction between your conclusion and explanation"
+                "error": "Intent is false but modified_prompt or qa_possibility is true.",
+                "retry_prompt": "If the query is not QA-related, set qa_possibility to false and leave modified_prompt empty."
             }
 
-        # Case 2: Not possible, but message lacks justification
-        if not self.qa_possibility and not contains_blocking_phrase:
-            logger.warning(" Insufficient justification: QA marked impossible but no blocking keywords found.\n")
+        # 3. intent == True but contains blocking (non-QA) keywords → contradiction
+        if self.intent and contains_intent_blocking:
             return {
                 "is_valid": False,
-                "should_retry": False,
-                "error": "Insufficient justification: No blocking issues mentioned",
-                "retry_prompt": "Explain *why* QA is not possible by including keywords like 'not clickable', 'no visual indication', or 'requires live webpage'. Avoid vague answers."
+                "should_retry": True,
+                "error": "Contradiction: Intent marked True but message implies user wants to perform UI/animation testing.",
+                "retry_prompt": "Intent should be False for UI/animation queries. Please correct it."
+            }
 
+        # 4. intent == False but NO reason is given
+        if not self.intent and "not QA" not in msg_lower and not contains_intent_blocking:
+            return {
+                "is_valid": False,
+                "should_retry": True,
+                "error": "Intent marked False, but explanation is unclear or missing.",
+                "retry_prompt": "Please explain clearly why the query is not QA-related."
             }
 
+        # QA Possibility Validation (only if intent is true)
+        if self.intent:
+            # Case 1: Should be possible but explanation contradicts that
+            if self.qa_possibility and contains_qa_blocking:
+                logger.warning(" Contradiction: QA is marked possible but message includes blocking keywords.\n")
+                return {
+                    "is_valid": False,
+                    "should_retry": True,
+                    "error": "Contradiction: QA possible but message says it's not",
+                    "retry_prompt": "Please resolve the contradiction between your conclusion and explanation"
+                }
+
+            # Case 2: Not possible, but message lacks justification
+            if not self.qa_possibility and not contains_qa_blocking:
+                logger.warning(" Insufficient justification: QA marked impossible but no blocking keywords found.\n")
+                return {
+                    "is_valid": False,
+                    "should_retry": False,
+                    "error": "Insufficient justification: No blocking issues mentioned",
+                    "retry_prompt": "Explain *why* QA is not possible by including keywords like 'not clickable', 'no visual indication', or 'requires live webpage'. Avoid vague answers."
+                }
+
         # Case 3: All good
-        logger.info(" Validation passed: QA possibility and explanation are consistent.\n")
+        logger.info(" Validation passed: Intent classification and QA possibility are consistent.\n")
         return {
             "is_valid": True,
             "should_retry": False,
diff --git a/src/agent/qa_possibilty_checker/prompt.py b/src/agent/qa_possibilty_checker/prompt.py
index 21e88010..236fac99 100644
--- a/src/agent/qa_possibilty_checker/prompt.py
+++ b/src/agent/qa_possibilty_checker/prompt.py
@@ -1,36 +1,76 @@
 agents_prompt = """
-You are an intelligent QA Possibility Checker Agent. Your task is to assess whether the described QA test (functionality, interaction, or visual check) is likely possible on a given web page, based on the user's prompt and a screenshot of the web page.
+You are an intelligent QA Possibility Checker Agent with Intent Classification. Your task is to:
+
+1. First classify whether the user query is related to QA (Quality Assurance)/testing of a website or not
+2. If it is QA-related, assess whether the described QA test (functionality, interaction, or visual check) is likely possible on the given web page
 
 You are provided with:
+1. A user prompt describing the QA functionality to be tested.
+2. Web page picture image file id.
 
-1. A user prompt  describing the QA functionality to be tested.
-2. web page picture image file id.
+## Intent Classification Criteria:
+- Classify as *true* if the query relates to QA testing of a webpage/website
+- Classify as **false** if the query is about something unrelated to webpage QA
+- If the user query involves proper functionality testing and also UI testing, output "true" with a "WARNING: UI CANNOT BE TESTED" in the agent_msg
+- If the user query involves just UI or animation testing such as checking the colour of responsiveness, output "false" with a "UI or animations CANNOT BE TESTED" in the agent_msg (tessting the clikable button or stuff like that does not count as UI testing)
+- Always make sure that performing any sort of functionality would also be considered as SQA because user might sometimes just ask simply to do this/that on the website
 
-Your Instructions:
+## QA Possibility Assessment Instructions (only if intent is true):
 - Assume the web page is dynamic and interactive 
 - If the user asks to click or interact with something, assume it's clickable regardless of whether it's visibly a button, link, or image and (anything).
 - If the user prompt relates to features like forms, filters, navigation, product items, etc., and the screenshot gives any visual clue that such a feature could exist, assume it exists.
 - Do not reject QA functionality just because it requires interactivity like typing, hovering, or filtering — these are standard web features and should be assumed unless clearly impossible.
 - Only reject the prompt if the requested QA functionality is clearly unsupported by the visible content — e.g., the user asks to test a login form and no form fields or input areas are visible or hinted at.
 - Be confident and optimistic in reasoning. You're here to assess possibility, not to confirm every element.
-- The screenshot comes from a live, interactive webpage. Treat it as a representation of real functionality. Do not say “the screenshot is not clickable” — assume visible elements are interactive.
+- The screenshot comes from a live, interactive webpage. Treat it as a representation of real functionality. Do not say "the screenshot is not clickable" — assume visible elements are interactive.
 
 Input:
 - 'User prompt (QA prompt)': {user_prompt}
 - 'Image file id': {image_file_id}
 
+## Examples:
+
+Example 1 - QA-related and possible:
+User query: "Test the login form on the website"
+Output: {{ "intent": true, "agent_msg": "QA is possible on the extracted Snippet", "qa_possibility": true, "modified_prompt": "" }}
+
+Example 2 - QA-related but not possible:
+User query: "Test the payment gateway"
+Output: {{ "intent": true, "agent_msg": "QA is not possible on the extracted Snippet - no payment elements visible", "qa_possibility": false, "modified_prompt": "" }}
+
+Example 3 - Not QA-related:
+User query: "How do I use Python to read a CSV file?"
+Output: {{ "intent": false, "agent_msg": "This query is about general programming, not website testing", "qa_possibility": false, "modified_prompt": "" }}
+
+Example 4 - UI testing (should be false):
+User query: "Check if the button color is blue"
+Output: {{ "intent": false, "agent_msg": "UI elements cannot be tested", "qa_possibility": false, "modified_prompt": "" }}
+
 Output:
 Return your answer in this exact JSON format:
 
-If the QA test seems possible:
-{ 
-     "agent_msg": "QA is possible on the extracted Snippet"
-     "qa_possibilty": true 
- }
- or (if the QA test seems not possible always give a reason why QA failed appended in the agent_msg)
- {
-     "agent_msg": "QA is not possible on the extracted Snippet"
-     "qa_possibilty": false 
- }
+For QA-related queries that are possible:
+{{ 
+    "intent": true,
+    "agent_msg": "QA is possible on the extracted Snippet",
+    "qa_possibility": true,
+    "modified_prompt": "Modified prompt without UI/animation testing (if applicable)"
+}}
+
+For QA-related queries that are NOT possible:
+{{ 
+    "intent": true,
+    "agent_msg": "QA is not possible on the extracted Snippet - [specific reason]",
+    "qa_possibility": false,
+    "modified_prompt": ""
+}}
+
+For non-QA queries:
+{{ 
+    "intent": false,
+    "agent_msg": "Clear explanation of why this is not QA-related",
+    "qa_possibility": false,
+    "modified_prompt": ""
+}}
 """
 
diff --git a/src/agent/snippet_extractor/README.md b/src/agent/snippet_extractor/README.md
deleted file mode 100644
index d8314555..00000000
--- a/src/agent/snippet_extractor/README.md
+++ /dev/null
@@ -1,167 +0,0 @@
-The Snippet Extractor Agent is responsible for **finding and returning the most relevant HTML snippet** from a webpage based on a user’s prompt. It is part of the larger `nextSQA` system for automating QA tasks on websites.
-
----
-
-## Files Overview
-
-### `agent.py`
-
-This is the main engine. It:
-- Loads the webpage.
-- Splits the HTML into manageable parts (chunks).
-- Uses AI to figure out which chunk contains the element the user wants.
-- Returns the matching snippet.
-
-### `prompt.py`
-
-This contains the instructions given to the AI (LLM). It:
-- Tells the AI what to look for in the webpage HTML.
-- Includes example prompts like “test this form” or “click the subscribe button”.
-- Provides expected output format.
-
-### `output.py`
-
-Defines the output structure using Pydantic. The AI must return:
-```json
-{
-  "agent_msg": "The snippet ... has been extracted",
-  "extracted_snippet": "<html>...</html>",
-  "snippet_check": true
-}
-````
-
----
-
-## How It Works (Step by Step)
-
-1. The agent opens the webpage
-2. It extracts the webpages code and saves into webpage_code.html under webpage directory.
-3. It breaks the HTML into chunks, making sure each part is small enough for the AI to handle.
-4. It sends each chunk + user prompt to the AI.
-5. If the AI finds a match, the agent stops and returns the matching HTML snippet.
-6. If nothing is found after checking all parts, it returns a failure response.
-
----
-
-## Functions Explained
-
-### `__init__(user_prompt, url)`
-
-Sets up the agent with the user prompt and the webpage URL.
-
----
-
-### `extract_webpage()`
-
-**What it does:**
-
-* Opens the webpage using Playwright (no GUI).
-* Grabs all the HTML code.
-* calls the store_webpage_code() functionxs
-
-**Why it matters:**
-We need the actual webpage content to search for the element the user asked about.
-
----
-
-### `store_webpage_code()`
-
-**What it does:**
-
-* Saves the downloaded webpage HTML into `webpage/webpage_code.html`.
-
-**Why it matters:**
-It gives us a backup copy that can be used for testing, debugging, or sharing.
-
----
-
-### `chunk_webpage_code()`
-
-**What it does:**
-
-* Breaks the HTML code into smaller "chunks" that fit under a token limit.
-* Uses BeautifulSoup to identify sections inside `<body>`.
-* Keeps tags and structure intact.
-* Handles very large elements by recursively breaking them into smaller ones.
-
-**Why it matters:**
-The AI can’t process huge chunks due to token limit. We have to send small, meaningful pieces instead.
-
-**Smart Features:**
-
-* Uses the model’s tokenizer to estimate token size.
-* Avoids cutting in the middle of tags.
-* Tries to group related elements together when possible.
-
----
-
-### `run_agent()`
-
-**What it does:**
-
-* Runs the full process:
-
-  1. Extract webpage.
-  2. Chunk the HTML.
-  3. Send each chunk to the AI.
-  4. Return the first valid snippet found.
-
-**Fallback:**
-If nothing is found, returns a message saying no snippet was found.
-
----
-
-## Prompt Examples
-
-**Prompt 1:**
-
-> Test this form
-> 🔎 Will extract only the HTML related to a `<form>`.
-
-**Prompt 2:**
-
-> Click the subscribe button
-> 🔎 Will extract the section containing the `<button>` for subscribing.
-
----
-
-## ✅ Output Format (Returned by Agent)
-
-If snippet is found:
-
-```json
-{
-  "agent_msg": "The snippet ... has been extracted",
-  "extracted_snippet": "<section>...</section>",
-  "snippet_check": true
-}
-```
-
-If not found:
-
-```json
-{
-  "agent_msg": "Unable to find the relevant snippet",
-  "extracted_snippet": "No snippet found",
-  "snippet_check": false
-}
-```
-
----
-
-## Technologies Used
-
-* GPT (via LangChain)
-* Playwright (for browsing web pages)
-* BeautifulSoup (for parsing HTML)
-* tiktoken (for counting tokens)
-* Pydantic (for structured output)
-
----
-
-You can think of this agent like this.:
-
-* Visits a webpage,
-* Looks for the thing you asked about (like a form or button),
-* Cuts it out from the extracted entire webpage code,
-* And gives it to you in a neat little package.
diff --git a/src/agent/snippet_extractor/agent.py b/src/agent/snippet_extractor/agent.py
deleted file mode 100644
index 3b59ec60..00000000
--- a/src/agent/snippet_extractor/agent.py
+++ /dev/null
@@ -1,173 +0,0 @@
-import logging
-from .output import SnippetExtractorOutput
-from .prompt import agents_prompt
-from ..main_agent.agent import run_main_agent
-from playwright.async_api import async_playwright
-from bs4 import BeautifulSoup
-import os
-import tiktoken
-
-logger = logging.getLogger(__name__)
-
-class SnippetExtractorAgent:
-    def __init__(self, llm: str, user_prompt: str, url: str) -> None:
-        logger.info("Initializing SnippetExtractorAgent")
-        self.output_pydantic_class = SnippetExtractorOutput
-        self.user_prompt = user_prompt
-        self.agent_prompt = agents_prompt
-        self.url = url
-        self.llm = llm
-
-    def store_webpage_code(self) -> bool:
-        logger.info("Storing webpage code into webpage_code.html under webpage directory....")
-        try:
-            base_dir = os.path.dirname(os.path.abspath(__file__))
-            webpage_dir = os.path.abspath(os.path.join(base_dir, '..', '..', 'webpage'))
-            file_path = os.path.join(webpage_dir, "webpage_code.html")
-
-            with open(file_path, "w", encoding="utf-8") as f:
-                f.write(self.webpage_code)
-            logger.info(f"Webpage code stored at {file_path}")
-            return True
-        except Exception as e:
-            logger.error(f"Error storing webpage code: {e}")
-            return False
-
-    async def extract_webpage(self) -> bool:
-        logger.info(f"Extracting webpage for URL: {self.url}")
-        self.webpage_code = ""
-        try:
-            async with async_playwright() as p:
-                browser = await p.chromium.launch(headless=True)
-                page = await browser.new_page()
-                await page.goto(self.url)
-                content = await page.content()
-                logger.info("Webpage content fetched successfully.")
-                await browser.close()
-                logger.info("Browser closed.")
-                self.webpage_code = content
-
-            if self.webpage_code == "":
-                return False
-
-            return self.store_webpage_code()
-
-        except Exception as e:
-            logger.error(f"Error extracting webpage: {e}")
-            return False
-
-    def chunk_webpage_code(self, max_total_tokens=6000, overlap_tokens=1500, model="gpt-4o"):
-        enc = tiktoken.encoding_for_model(model)
-        soup = BeautifulSoup(self.webpage_code, 'html.parser')
-        body = soup.body
-        if not body:
-            logger.warning("No <body> tag found in HTML; returning full code as single chunk.")
-            return [self.webpage_code]
-
-        prompt_tokens = len(enc.encode(self.user_prompt or ""))
-        max_chunk_tokens = max_total_tokens - prompt_tokens
-        if max_chunk_tokens <= 0:
-            raise ValueError("max_total_tokens must be greater than user prompt token length")
-
-        chunks = []
-        current_chunk_elements = []
-        current_chunk_token_count = 0
-
-        def flush_chunk():
-            nonlocal current_chunk_elements, current_chunk_token_count
-            if current_chunk_elements:
-                chunk_html = "".join(str(el) for el in current_chunk_elements)
-                chunks.append(chunk_html)
-                current_chunk_elements = []
-                current_chunk_token_count = 0
-
-        def chunk_element(element):
-            nonlocal current_chunk_elements, current_chunk_token_count
-
-            element_html = str(element)
-            element_tokens = len(enc.encode(element_html))
-
-            if element_tokens > max_chunk_tokens:
-                #element is too large, try recursively splitting children
-                children = list(element.children)
-                if not children:
-                    #if no children: splitting string content into token-sized slices
-                    if hasattr(element, 'string') and element.string:
-                        raw_text = str(element.string)
-                        tokenized = enc.encode(raw_text)
-                        for i in range(0, len(tokenized), max_chunk_tokens):
-                            chunk_text = enc.decode(tokenized[i:i + max_chunk_tokens])
-                            chunks.append(f"<{element.name}>{chunk_text}</{element.name}>")
-                    else:
-                        logger.warning("Element too large and no children or string to split; skipping.")
-                    return
-
-                #flush current chunk before recursive split
-                if current_chunk_elements:
-                    flush_chunk()
-
-                #recursively chunk each child element
-                for child in children:
-                    chunk_element(child)
-
-            else:
-                #element fits in chunk, add or flush then add
-                if current_chunk_token_count + element_tokens <= max_chunk_tokens:
-                    current_chunk_elements.append(element)
-                    current_chunk_token_count += element_tokens
-                else:
-                    flush_chunk()
-                    current_chunk_elements.append(element)
-                    current_chunk_token_count = element_tokens
-
-        #start chunking all top-level body elements
-        for el in body.find_all(recursive=False):
-            chunk_element(el)
-
-        #flush last chunk if any
-        flush_chunk()
-
-        logger.info(f"Chunked webpage into {len(chunks)} parts, max tokens per chunk (excluding prompt): {max_chunk_tokens}")
-        return chunks
-
-
-    async def run_agent(self) -> SnippetExtractorOutput:
-        logger.info(f"Running Snippet Extractor Agent....")
-
-        if not await self.extract_webpage():
-            return {
-                'actuall_snippet': "",
-                "snippet_check": False,
-            }
-
-        chunks = self.chunk_webpage_code()
-
-        enc = tiktoken.encoding_for_model("gpt-4o")
-
-        for i, chunk in enumerate(chunks):
-            logger.info(f"Processing chunk {i+1}/{len(chunks)}")
-
-            prompt_tokens = len(enc.encode(self.user_prompt))
-            chunk_tokens = len(enc.encode(chunk))
-            total_tokens = prompt_tokens + chunk_tokens
-            logger.info(f"Token usage: prompt={prompt_tokens}, chunk={chunk_tokens}, total={total_tokens}")
-
-            output = run_main_agent(
-                output_pydantic_class=self.output_pydantic_class,
-                agents_name="Snippet Extractor Agent",
-                agents_prompt=self.agent_prompt,
-                input_to_prompt={
-                    'input': self.user_prompt,
-                    'webpage_code': chunk
-                },
-                model_name=self.llm
-            )
-            if output.snippet_check:
-                logger.info(f"Snippet found in chunk {i+1}")
-                return output
-
-        logger.info("No valid snippet found after processing all chunks.")
-        return {
-            'actuall_snippet': "",
-            "snippet_check": False,
-        }
\ No newline at end of file
diff --git a/src/agent/snippet_extractor/output.py b/src/agent/snippet_extractor/output.py
deleted file mode 100644
index f24e57e7..00000000
--- a/src/agent/snippet_extractor/output.py
+++ /dev/null
@@ -1,6 +0,0 @@
-from pydantic import BaseModel
-
-class SnippetExtractorOutput(BaseModel):
-    agent_msg: str
-    extracted_snippet: str
-    snippet_check: bool
\ No newline at end of file
diff --git a/src/agent/snippet_extractor/prompt.py b/src/agent/snippet_extractor/prompt.py
deleted file mode 100644
index f42709dc..00000000
--- a/src/agent/snippet_extractor/prompt.py
+++ /dev/null
@@ -1,186 +0,0 @@
-agents_prompt = """
-You are a helpful Snippet Extractor Agent that extracts the most relevant and concise snippet from a webpage that matches a user’s QA-related prompt.
-
-You will be provided with:
-- A user prompt, which describes a UI element or functionality to test (e.g., "test this form", "click the button", "order this item").
-- A webpage code, which contains HTML elements for you to search and extract from.
-
-Your job is to:
-- Identify the most relevant HTML snippet the user wants to test.
-- Return that exact snippet, preserving tags and structure.
-- Avoid full-page dumps or irrelevant sections.
-- If no relevant content is found, indicate it clearly.
-
-Examples
-
-Example 1:
-User Prompt: Test this form
-
-Webpage Code:
-<html>
-  <head>
-    <title>My App</title>
-    <script src="analytics.js"></script>
-    <style>
-      body { font-family: Arial; }
-    </style>
-  </head>
-  <body>
-    <nav>
-      <ul>
-        <li><a href="/home">Home</a></li>
-        <li><a href="/about">About</a></li>
-      </ul>
-    </nav>
-
-    <header>
-      <h1>Welcome to My Application</h1>
-      <p>This is the best platform to manage your tasks.</p>
-    </header>
-
-    <aside>
-      <p>Advertisement: Buy now and get 50percent off!</p>
-    </aside>
-
-    <main>
-      <section class="intro">
-        <p>Please login to continue</p>
-      </section>
-
-      <section class="login">
-        <form action="/submit" method="post">
-          <label for="username">Username:</label>
-          <input type="text" id="username" name="username" />
-          <label for="password">Password:</label>
-          <input type="password" id="password" name="password" />
-          <button type="submit">Login</button>
-        </form>
-      </section>
-
-      <section class="news">
-        <h2>Latest News</h2>
-        <p>We just launched a new feature!</p>
-      </section>
-    </main>
-
-    <footer>
-      <p>&copy; 2025 My App. All rights reserved.</p>
-    </footer>
-  </body>
-</html>
-
-
-{
-  "actuall_snippet": " <section class="login">
-        <form action="/submit" method="post">
-          <label for="username">Username:</label>
-          <input type="text" id="username" name="username" />
-          <label for="password">Password:</label>
-          <input type="password" id="password" name="password" />
-          <button type="submit">Login</button>
-        </form>
-      </section>",
-      
-  "snippet_check": true
-}
-
-Example 2:
-User Prompt: Test the subscribe button
-
-Webpage Code:
-<html>
-  <head>
-    <title>News Portal</title>
-    <script>
-      function openModal() {
-        // opens modal
-      }
-      function subscribe() {
-        alert("Subscribed!");
-      }
-    </script>
-  </head>
-  <body>
-    <nav>
-      <ul>
-        <li><a href="/">Home</a></li>
-        <li><a href="/trending">Trending</a></li>
-      </ul>
-    </nav>
-
-    <div id="ad-banner">
-      <p>Buy 1 Get 1 Free!</p>
-    </div>
-
-    <header>
-      <h1>Today's Highlights</h1>
-      <button onclick="openModal()">Learn More</button>
-    </header>
-
-    <main>
-      <article>
-        <h2>Breaking News</h2>
-        <p>Some important event happened...</p>
-      </article>
-
-      <section class="newsletter-signup">
-        <h3>Stay Updated!</h3>
-        <p>Subscribe to our daily newsletter.</p>
-        <div class="cta">
-          <button onclick="subscribe()">Subscribe</button>
-        </div>
-      </section>
-
-      <section class="feedback">
-        <h3>Feedback</h3>
-        <button onclick="alert('Thanks!')">Send Feedback</button>
-      </section>
-    </main>
-
-    <footer>
-      <p>&copy; 2025 News Portal</p>
-    </footer>
-  </body>
-</html>
-
-{
-  "actuall_snippet": "  <section class="newsletter-signup">
-        <h3>Stay Updated!</h3>
-        <p>Subscribe to our daily newsletter.</p>
-        <div class="cta">
-          <button onclick="subscribe()">Subscribe</button>
-        </div>
-      </section>",
-
-  "snippet_check": true
-}
-
-Now handle the real task:
-
-User Prompt: " {input} " 
-Webpage Code: " {webpage_code} "
-
-- Alwyas make sure only to extract the correct element according to the user prompt.
-
-- If user asks to extract a particular button, extract only that paticular button, if an image, extract that image, if a form, extract that form, if a product only extract that product, if anything else, only extract that particular thing only.
-
-- In some cases, there are elements that are clickable as well, for instance and Image or product might be clickable e.t.c. so you can extract the proper element that also shows this picture or anything is clickable e.t.c.
-
-- Pleasen always make sure to extract the correct snippet and also wait because you would be getting a lot of chunks, always extract the correct snippet
-
-Output format:
-
-Respond with a JSON object like this:
-{ 
-  "agent_msg": "The snippet ... has been extracted"
-  "extracted_snippet": "<html>...</html>",
-  "snippet_check": true
-}
-
-If no relevant content is found, return:
-{
-  "agent_msg": "Unbale to find the relevant snippet"
-  "extracted_snippet": "No snippet found",
-  "snippet_check": false
-}
-"""
\ No newline at end of file

From 7bfa83bae8c4973d290eb64d3416e45602d2e896 Mon Sep 17 00:00:00 2001
From: Mohsin Ali Irfan <mohsin.ali@codeupscale.com>
Date: Mon, 11 Aug 2025 20:20:11 +0500
Subject: [PATCH 31/38] Debugged the api and dodkcer file

---
 docker-compose.yml                         |   5 +-
 requirements.txt                           |  17 +-
 src/API/Ai_Testing/models.py               |  31 ++
 src/API/Ai_Testing/routes.py               |  36 +++
 src/API/Ai_Testing/services.py             |  86 ++++++
 src/API/Users/current_user.py              |  17 ++
 src/API/Users/dt.py                        |  27 ++
 src/API/Users/models.py                    |  34 +++
 src/API/Users/routes.py                    |  97 +++++++
 src/API/Users/schemas.py                   |  32 +++
 src/API/Users/services.py                  | 318 +++++++++++++++++++++
 src/API/core/security.py                   | 155 ++++++++++
 src/API/db/db_connection.py                | 266 +++++++++++++++++
 src/API/main.py                            | 157 ++++++----
 src/agent/browser_use/browser_use_agent.py |   1 +
 supervisord.conf                           |  33 ++-
 16 files changed, 1255 insertions(+), 57 deletions(-)
 create mode 100644 src/API/Ai_Testing/models.py
 create mode 100644 src/API/Ai_Testing/routes.py
 create mode 100644 src/API/Ai_Testing/services.py
 create mode 100644 src/API/Users/current_user.py
 create mode 100644 src/API/Users/dt.py
 create mode 100644 src/API/Users/models.py
 create mode 100644 src/API/Users/routes.py
 create mode 100644 src/API/Users/schemas.py
 create mode 100644 src/API/Users/services.py
 create mode 100644 src/API/core/security.py
 create mode 100644 src/API/db/db_connection.py

diff --git a/docker-compose.yml b/docker-compose.yml
index d13852fc..5656b0c7 100644
--- a/docker-compose.yml
+++ b/docker-compose.yml
@@ -60,7 +60,10 @@ services:
       - RESOLUTION=${RESOLUTION:-1920x1080x24}
       - RESOLUTION_WIDTH=${RESOLUTION_WIDTH:-1920}
       - RESOLUTION_HEIGHT=${RESOLUTION_HEIGHT:-1080}
-
+      - MONGO_URI=${MONGO_URI:-mongodb+srv://ahmadejaz:vqmo0gx3zjgXO6IA@test.k8vg9mm.mongodb.net/nextsqa_db}
+      - MONGODB_URI=${MONGODB_URI:-mongodb+srv://ahmadejaz:vqmo0gx3zjgXO6IA@test.k8vg9mm.mongodb.net/nextsqa_db}
+      - MONGO_DB_NAME=${MONGO_DB_NAME:-nextsqa_db}
+      - DB_NAME=${DB_NAME:-nextsqa_db}
       # VNC Settings
       - VNC_PASSWORD=${VNC_PASSWORD:-youvncpassword}
       
diff --git a/requirements.txt b/requirements.txt
index d2b933c6..a12df875 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -9,5 +9,20 @@ langchain_mcp_adapters==0.0.9
 langgraph==0.3.34
 langchain-community
 langchain-ollama
+# FastAPI and web framework
 fastapi
-uvicorn[standard]
\ No newline at end of file
+uvicorn[standard]  # Includes websockets library automatically
+pydantic==2.10.6
+fastapi-mail==1.4.1
+# Database and authentication
+motor==3.4.0
+passlib[bcrypt]==1.7.4
+python-jose==3.3.0
+email-validator==2.1.1
+pymongo==4.5.0
+# Additional dependencies that might be needed
+python-multipart
+httpx
+requests
+pillow
+python-dotenv
\ No newline at end of file
diff --git a/src/API/Ai_Testing/models.py b/src/API/Ai_Testing/models.py
new file mode 100644
index 00000000..03b721bd
--- /dev/null
+++ b/src/API/Ai_Testing/models.py
@@ -0,0 +1,31 @@
+from pydantic import BaseModel, Field
+from datetime import datetime, timezone
+from typing import Optional
+
+
+class ActionsModel(BaseModel):
+    action: dict = Field(..., description="The action taken by the agent")
+    
+    
+class StepsModel(BaseModel):
+    step: str = Field(..., description="The step taken by the agent")
+    step_no: int = Field(..., description="The step number in the sequence")
+    action: list[ActionsModel] = Field(..., description="The action taken in this step")
+    created_at: Optional[datetime] = Field(..., description="Timestamp of when the step was created")
+    updated_at: Optional[datetime] = Field(..., description="Timestamp of the last update")
+    
+    
+class ResultModel(BaseModel):
+   
+    final_result: str = Field(..., description="The final result of the agent's task")
+    steps: list[StepsModel] = Field(..., description="List of steps taken by the agent")
+    
+    
+    
+class AgentModel(BaseModel):
+    query: str = Field(..., description="The query to run the agent on")
+    url: str = Field(..., description="The URL to run the agent on")
+    result: ResultModel = Field(..., description="The result of the agent's task")
+    user_id: str = Field(..., description="The ID of the user who initiated the task")
+    created_at: datetime = Field(..., description="Timestamp of when the agent was created")
+    updated_at: datetime = Field(..., description="Timestamp of the last update")
\ No newline at end of file
diff --git a/src/API/Ai_Testing/routes.py b/src/API/Ai_Testing/routes.py
new file mode 100644
index 00000000..38ea50ba
--- /dev/null
+++ b/src/API/Ai_Testing/routes.py
@@ -0,0 +1,36 @@
+from fastapi import APIRouter, Depends, HTTPException
+from pydantic import BaseModel
+from src.webui.components import browser_use_agent_tab
+from src.webui.components.browser_use_agent_tab import run_agent_task
+from fastapi import HTTPException
+from fastapi.staticfiles import StaticFiles
+from .schemas import AgentRequest
+from ..Users.current_user import get_current_user
+from .services import run_agent_work, stop_agent_work
+
+router = APIRouter()
+
+@router.post("/run-agent")
+async def run_agent(request: AgentRequest ):
+    try:
+        # user = current_user
+        
+        result = await run_agent_work(request.query, request.url, {"sub": "ahmad.ejaz@codeupscale.com"})
+        
+        return {
+            "status": "success",
+            
+            "final_result": result["final_result"]
+        }
+    except Exception as e:
+        print(f"❌ Agent error: {e}")
+        raise HTTPException(status_code=500, detail=str (e))
+    
+@router.post("/stop-agent")
+async def stop_agent():
+    try:
+        await stop_agent_work()
+        return {"status": "success"}
+    except Exception as e:
+        print(f"❌ Stop agent error: {e}")
+        raise HTTPException(status_code=500, detail=str(e))
diff --git a/src/API/Ai_Testing/services.py b/src/API/Ai_Testing/services.py
new file mode 100644
index 00000000..4251e3df
--- /dev/null
+++ b/src/API/Ai_Testing/services.py
@@ -0,0 +1,86 @@
+from fastapi import FastAPI, WebSocket, WebSocketDisconnect, Depends, HTTPException
+from pydantic import BaseModel
+from src.webui.components import browser_use_agent_tab
+from src.webui.components.browser_use_agent_tab import run_agent_task
+from fastapi.staticfiles import StaticFiles
+from .schemas import AgentRequest
+from ..Users.current_user import get_current_user
+from ..Users.models import UserModel
+from ..db.db_connection import get_db
+from ..Users.services import find_user_by_email  
+from datetime import datetime, timezone
+from .models import AgentModel
+from src.websocket.websocket_manager import WebSocketManager
+
+# Get the WebSocket manager from the main app
+manager = None
+
+def set_websocket_manager(ws_manager):
+    global manager
+    manager = ws_manager
+
+async def run_agent_work(query,url, user):
+    try:
+        db= get_db()
+        
+        user = find_user_by_email(user["sub"])
+        if not user:
+            raise HTTPException(status_code=404, detail="User not found")
+        agent = AgentModel(
+            query=query,
+            url=url,
+            result={"final_result": "PENDING",
+                        "steps": [
+                        {
+                            "step": "PENDING",
+                            "step_no": 0,
+                            "action": [
+                            {
+                                "action": {
+                                
+                                }
+                            }
+                            ],
+                            "created_at": "2025-08-07T12:00:00Z",
+                            "updated_at": "2025-08-07T12:00:00Z"
+                        }
+                        ]
+                    },
+        # Simulate run,
+            user_id=str(user["_id"]),
+            created_at=datetime.now(timezone.utc),
+            updated_at=datetime.now(timezone.utc),
+        )
+        # Here you would typically save the agent to the database
+        try:
+            i_id = db["agent_tasks"].insert_one(agent.model_dump())
+            
+        except Exception as e:
+            print(f"❌ DB Insertion  error: {e}")
+            raise HTTPException(status_code=500, detail=str(e))
+        
+
+        async def message_callback(message: str):
+            if manager:
+                await manager.send_message(message)
+
+        result =await run_agent_task(query,url, message_callback=message_callback)
+        print(result)  
+        # Simulate running the agent task
+       # db["agent_tasks"].update_one({"_id": i_id.inserted_id}, {"$set": {"result": result , "updated_at": datetime.now(timezone.utc)}})
+
+        return result
+    except Exception as e:
+        print(f"❌ Agent error: {e}")
+        raise HTTPException(status_code=500, detail=str(e))
+
+async def stop_agent_work():
+    try:
+        print("Stopping agent work")
+    except Exception as e:
+        print(f"❌ Stop agent error: {e}")
+        raise HTTPException(status_code=500, detail=str(e))
+    
+
+# WebSocket endpoint removed - now handled in main.py
+
diff --git a/src/API/Users/current_user.py b/src/API/Users/current_user.py
new file mode 100644
index 00000000..895f3586
--- /dev/null
+++ b/src/API/Users/current_user.py
@@ -0,0 +1,17 @@
+from fastapi.security import HTTPBearer, HTTPAuthorizationCredentials
+from dotenv import load_dotenv
+import os
+from fastapi import  Depends, HTTPException
+from jose import jwt, JWTError
+load_dotenv()
+SECRET_KEY = os.getenv("SECRET_KEY")
+ALGORITHM = os.getenv("ALGORITHM", "HS256")
+security = HTTPBearer()
+#for auth on swagger docs
+def get_current_user(credentials: HTTPAuthorizationCredentials = Depends(security)):
+    token = credentials.credentials
+    try:
+        payload = jwt.decode(token, SECRET_KEY, algorithms=[ALGORITHM])
+        return payload
+    except JWTError:
+        raise HTTPException(status_code=401, detail="Invalid authentication credentials")
\ No newline at end of file
diff --git a/src/API/Users/dt.py b/src/API/Users/dt.py
new file mode 100644
index 00000000..a59302bb
--- /dev/null
+++ b/src/API/Users/dt.py
@@ -0,0 +1,27 @@
+from datetime import datetime, timezone
+from pydantic import BaseModel
+class DatetimeUtil(BaseModel):
+    created_at: datetime
+    updated_at: datetime
+    def __init__(self):
+        super().__init__(
+            created_at=datetime.now(timezone.utc),
+            updated_at=datetime.now(timezone.utc)
+        )
+
+    def update_timestamp(self, field_name: str) -> datetime:
+        if field_name == "created_at":
+            self.created_at = datetime.now(timezone.utc)
+            return self.created_at
+        elif field_name == "updated_at":
+            self.updated_at = datetime.now(timezone.utc)
+            return self.updated_at
+        else:
+            raise ValueError("Invalid field name. Must be 'created_at' or 'updated_at'.")
+
+    def get_timestamps(self) -> dict:
+        return {
+            "created_at": self.created_at,
+            "updated_at": self.updated_at
+        }
+
diff --git a/src/API/Users/models.py b/src/API/Users/models.py
new file mode 100644
index 00000000..bf93038e
--- /dev/null
+++ b/src/API/Users/models.py
@@ -0,0 +1,34 @@
+#
+# from beanie import Document
+from pydantic import EmailStr, Field, BaseModel
+from typing import Optional
+from enum import Enum
+from .dt import  DatetimeUtil
+from datetime import datetime , timezone
+
+class UserRole(str, Enum):
+    viewer = "viewer"
+    admin = "admin"
+    qa_engineer = "QA engineer"
+    developer = "developer"
+
+
+class UserStatus(str, Enum):
+    active = "active"
+    inactive = "inactive"
+
+
+#user model for db interaction   
+class UserModel(BaseModel):
+    firstname: str
+    lastname: str
+    email: EmailStr
+    hashed_password: str
+    organization: Optional[str] = None
+    role: UserRole = UserRole.viewer
+    status: UserStatus = UserStatus.active
+    timetrack: DatetimeUtil = Field(default_factory=DatetimeUtil)
+    otp :  Optional[str]
+    otp_created_at: Optional[datetime]
+    
+  
\ No newline at end of file
diff --git a/src/API/Users/routes.py b/src/API/Users/routes.py
new file mode 100644
index 00000000..c38a3f6f
--- /dev/null
+++ b/src/API/Users/routes.py
@@ -0,0 +1,97 @@
+# Update your existing routes.py - Add these imports and new routes
+
+from fastapi import APIRouter, Depends, HTTPException
+from fastapi.responses import JSONResponse
+from .current_user import get_current_user
+from .schemas import (
+    UserCreate, 
+    UserLogin, 
+    
+    ResetPassword,
+     # New import
+)
+
+
+from fastapi.security import HTTPBearer, HTTPAuthorizationCredentials
+from .services import (
+    create_user,
+    login_user,
+    reset_user_password,
+    forgot_password_otp,
+    update_password_with_otp
+)
+
+import logging
+from jose import jwt, JWTError
+import os
+from dotenv import load_dotenv
+
+load_dotenv()
+SECRET_KEY = os.getenv("SECRET_KEY")
+ALGORITHM = os.getenv("ALGORITHM", "HS256")
+
+security = HTTPBearer()
+
+
+router = APIRouter()
+logger = logging.getLogger("user_routes")
+
+
+
+@router.post("/signup")
+async def signup(user: UserCreate):
+    logger.info(f"Signup attempt for email: {user.email}")
+    new_user = await create_user(user)
+    return { "message": "User Created Successfully", "for": user.email}
+
+@router.post("/login")
+async def login(credentials: UserLogin):
+    logger.info(f"Login attempt for email: {credentials.email}")
+    token = login_user(credentials.email, credentials.password)
+    if not token:
+        raise HTTPException(status_code=401, detail="Invalid email or password")
+    return JSONResponse(content={"access_token": token})
+
+# sends otp to user's email
+@router.post("/forgot-password")
+async def forgot_password(email: str):
+    """Updated to send OTP instead of token"""
+    logger.info(f"Password reset OTP requested for email: {email}")
+    success = await forgot_password_otp(email)
+    if success:
+        return JSONResponse(
+            content={"message": "If your email is registered, you will receive an OTP shortly."},
+            status_code=200
+        )
+    else:
+        raise HTTPException(
+            status_code=500, 
+            detail="Failed to send OTP. Please try again later."
+        )
+
+#for users not logged in
+@router.post("/reset-password-otp")
+async def reset_password_with_otp(email: str, otp: str, new_password1: str, new_password2: str):
+    """Reset password using verified OTP"""
+    logger.info(f"Password reset with OTP requested for email: {email}")
+
+    success = await update_password_with_otp(email, otp, new_password1, new_password2)
+    if success:
+        return JSONResponse(
+            content={"message": "Password reset successful! You can now login with your new password."},
+            status_code=200
+        )
+    else:
+        raise HTTPException(
+            status_code=400, 
+            detail="Invalid or expired OTP, or password reset failed."
+        )
+
+# KEEP your existing reset-password route for backward compatibility
+#for logged in users with no otp
+@router.post("/reset-password", dependencies=[Depends(get_current_user)])
+async def reset_password(data: ResetPassword, current_user: dict = Depends(get_current_user)):
+    """Original token-based password reset - kept for backward compatibility"""
+    logger.info(f"Password reset using token: {data.token}")
+    await reset_user_password(data.token, data.new_password1, data.new_password2)
+    return JSONResponse(content={"message": "Password reset successful."})
diff --git a/src/API/Users/schemas.py b/src/API/Users/schemas.py
new file mode 100644
index 00000000..331577e5
--- /dev/null
+++ b/src/API/Users/schemas.py
@@ -0,0 +1,32 @@
+
+
+from pydantic import BaseModel, EmailStr, Field
+from typing import Optional
+from enum import Enum
+from .models import UserRole, UserStatus
+from datetime import datetime
+
+# Schema for user creation
+class UserCreate(BaseModel):
+    firstname: str = Field(..., min_length=1)
+    lastname: str = Field(..., min_length=1)
+    email: EmailStr
+    password: str = Field(..., min_length=6)
+    organization: Optional[str] = None
+    role: UserRole = UserRole.viewer
+    status: UserStatus = UserStatus.active
+
+# schema for user login
+class UserLogin(BaseModel):
+    email: EmailStr
+    password: str
+
+
+#used for /reset-password route
+class ResetPassword(BaseModel):
+    token: str  # Or OTP/token from token
+    new_password1: str = Field(..., min_length=6)
+    new_password2: str = Field(..., min_length=6)
+
+
+  # Optional timestamp for OTP creation
diff --git a/src/API/Users/services.py b/src/API/Users/services.py
new file mode 100644
index 00000000..de851fb5
--- /dev/null
+++ b/src/API/Users/services.py
@@ -0,0 +1,318 @@
+from passlib.context import CryptContext
+from typing import Optional
+from fastapi import HTTPException, status
+from jose import jwt, JWTError
+from datetime import datetime, timedelta, timezone
+import logging
+import os
+from .models import UserModel 
+from .schemas import UserCreate
+from dotenv import load_dotenv
+from ..db.db_connection import get_db, close_db
+from ..core.security import validate_password_strength, verify_reset_token, send_password_reset_otp, verify_password_reset_otp
+
+# Load environment variables from .env file
+load_dotenv()
+
+# Configuration constants loaded from environment variables
+SECRET_KEY = os.getenv("SECRET_KEY")
+ALGORITHM = os.getenv("ALGORITHM", "HS256")  # Default to HS256 if not specified
+RESET_TOKEN_EXPIRE_MINUTES = int(os.getenv("RESET_TOKEN_EXPIRE_MINUTES", "300"))  # Default 5 hours
+
+# Logger setup for tracking user service operations
+logger = logging.getLogger("user_service")
+logging.basicConfig(level=logging.INFO)
+
+# Password hashing context using bcrypt algorithm
+pwd_context = CryptContext(schemes=["bcrypt"], deprecated="auto")
+
+# Secret key for reset tokens (you should store this securely
+
+
+def login_user(email: str, password: str) -> Optional[dict]:
+    # Authenticate user login and generate JWT access token
+    # Args: email (str): User's email address, password (str): Plain text password
+    # Returns: Optional[dict]: Dictionary containing access token info or None if authentication fails
+    logger.info(f"Authenticating user with email: {email}")
+
+    # Establish database connection
+    db = get_db()
+    if db is None:
+        logger.error("Database connection failed.")
+        raise HTTPException(status_code=500, detail="Database connection error")
+
+    # Search for user in database by email
+    logger.info(f"Searching for user in database with email: {email}")
+    print("\n\n EMAIL:" , email)
+        
+    try:
+        user = db["users"].find_one({"email": email})
+        print("\n SUCCESS: ", user)
+    except Exception as e:
+        print("\n\n FOLLOWING ERRRE OCCURED:", e)
+
+    # Verify user exists and password is correct
+    if not user or not verify_password(password, user["hashed_password"]):
+        logger.warning(f"Authentication failed for email: {email}")
+        return None
+
+    # Generate JWT token with expiration time
+    logger.info(f"Authentication successful for {email}, generating JWT token")
+    expire = datetime.now(timezone.utc) + timedelta(minutes=RESET_TOKEN_EXPIRE_MINUTES)
+    payload = {"sub": user["email"], "exp": expire}
+    token = jwt.encode(payload, SECRET_KEY, algorithm=ALGORITHM)
+
+    logger.info(f"JWT token generated successfully for {email}")
+    return {"access_token": token, "token_type": "bearer", "email": user["email"]}
+
+
+def hash_password(password: str) -> str:
+    # Hash a plain text password using bcrypt
+    # Args: password (str): Plain text password to hash
+    # Returns: str: Hashed password
+    logger.info("Hashing password.")
+    hashed_pw = pwd_context.hash(password)
+    logger.info("Password hashed successfully")
+    return hashed_pw
+
+
+def verify_password(plain_password: str, hashed_password: str) -> bool:
+    # Verify a plain text password against a hashed password
+    # Args: plain_password (str): Plain text password to verify, hashed_password (str): Stored hashed password
+    # Returns: bool: True if password matches, False otherwise
+    logger.info("Verifying password.")
+    is_valid = pwd_context.verify(plain_password, hashed_password)
+    logger.info(f"Password verification result: {is_valid}")
+    return is_valid
+
+
+async def create_user(user: UserCreate) -> UserModel:
+    # Create a new user account in the system
+    # Args: user (UserCreate): User creation data schema
+    # Returns: UserModel: Created user model or raises HTTPException
+    logger.info(f"Creating user with email: {user.email}")
+    
+    # Establish database connection
+    db = get_db()
+    print(f"Database connection: {db}")
+    if db is None:
+        logger.error("Database connection failed.")
+        raise HTTPException(status_code=500, detail="Database connection error")
+    
+    # Check if user already exists with this email
+    logger.info(f"Checking if user already exists with email: {user.email}")
+    existing = db["users"].find_one({"email": user.email})
+    
+    if existing:
+        logger.warning(f"Email already registered: {user.email}")
+        raise HTTPException(status_code=400, detail="Email already registered")
+    
+    # Validate password strength before proceeding
+    logger.info(f"Validating password strength for user: {user.email}")
+    validate_password_strength(user.password)
+    logger.info("Password strength validation passed")
+    
+    # Hash the password for secure storage
+    logger.info("Hashing user password")
+    hashed_pw = hash_password(user.password)
+    
+    # Create new user model instance
+    logger.info(f"Creating UserModel instance for {user.email}")
+    new_user = UserModel(
+        firstname=user.firstname,
+        lastname=user.lastname,
+        email=user.email,
+        hashed_password=hashed_pw,
+        organization=user.organization,
+        role=user.role,
+        status=user.status,
+    )
+    
+    # Insert the user dictionary into MongoDB
+    logger.info(f"Inserting new user into database: {user.email}")
+    db["users"].insert_one(new_user.dict())
+    logger.info(f"User created successfully: {user.email}")
+    return True
+
+
+def generate_reset_token(email: str) -> str:
+    # Generate a JWT token for password reset functionality
+    # Args: email (str): User's email address
+    # Returns: str: JWT reset token
+    logger.info(f"Generating reset token for: {email}")
+    
+    # Set token expiration time
+    expire = datetime.now(timezone.utc) + timedelta(minutes=RESET_TOKEN_EXPIRE_MINUTES)
+    logger.info(f"Reset token will expire at: {expire}")
+    
+    # Create JWT payload with email and expiration
+    payload = {"sub": email, "exp": expire}
+    token = jwt.encode(payload, SECRET_KEY, algorithm=ALGORITHM)
+    
+    logger.info(f"Reset token generated successfully for: {email}")
+    return token
+
+
+def find_user_by_email(email: str) -> Optional[dict]:
+    # Find user by email in MongoDB users collection
+    # Args: email (str): User's email address
+    # Returns: Optional[dict]: User document or None if not found
+    logger.info(f"Searching for user by email: {email}")
+    
+    # Establish database connection
+    db = get_db()
+    if db is None:
+        logger.error("Database connection failed")
+        return None
+    
+    # Search for user in database
+    user = db["users"].find_one({"email": email})
+    
+    if user:
+        logger.info(f"User found with email: {email}")
+    else:
+        logger.warning(f"No user found with email: {email}")
+    
+    return user
+
+
+async def reset_user_password(token: str, new_password1: str, new_password2: str) -> bool:
+    # Reset user password using a JWT reset token
+    # Args: token (str): JWT reset token, new_password1 (str): New password, new_password2 (str): New password confirmation
+    # Returns: bool: True if password reset successful, raises HTTPException otherwise
+    logger.info(f"Resetting password using token: {token}")
+    
+    # Verify the reset token and extract email
+    logger.info("Verifying reset token")
+    email = verify_reset_token(token)
+    if not email:
+        logger.error("Invalid or expired token")
+        raise HTTPException(status_code=400, detail="Invalid or expired token")
+    
+    logger.info(f"Reset token verified successfully for email: {email}")
+    
+    # Validate new password strength
+    logger.info("Validating new password strength")
+    validate_password_strength(new_password1)
+    
+    # Ensure both password fields match
+    if new_password1 != new_password2:
+        logger.error("New passwords do not match")
+        raise HTTPException(status_code=400, detail="New passwords do not match")
+    
+    logger.info("New passwords match, proceeding with reset")
+
+    # Hash the new password
+    logger.info("Hashing new password")
+    hashed_password = hash_password(new_password1)
+    
+    # Establish database connection
+    db = get_db()
+    if db is None:
+        logger.error("Database connection failed")
+        raise HTTPException(status_code=500, detail="Database connection error")
+    
+    # Update the user's password in the database
+    logger.info(f"Updating password in database for email: {email}")
+    result = db["users"].update_one(
+        {"email": email},
+        {"$set": {"hashed_password": hashed_password}}
+    )
+    
+    # Check if update was successful
+    if result.modified_count == 0:
+        logger.error(f"Failed to reset password for {email}")
+        return False
+    
+    logger.info(f"Password reset successful for {email}")
+    return True
+
+ 
+async def forgot_password_otp(email: str) -> bool:
+    # Send password reset OTP to user's email
+    # Args: email (str): User's email address
+    # Returns: bool: True if OTP sent successfully, False if user not found
+    logger.info(f"Sending password reset OTP to: {email}")
+    
+    # Establish database connection
+    db = get_db()
+    if db is None:
+        logger.error("Database connection failed")
+        raise HTTPException(status_code=500, detail="Database connection error")
+    
+    # Verify user exists in database
+    logger.info(f"Verifying user exists with email: {email}")
+    user = db["users"].find_one({"email": email})
+    
+    if not user:
+        logger.warning(f"No user found with email: {email}")
+        return False
+    
+    logger.info(f"User found, generating OTP for: {email}")
+    
+    # Generate and send OTP via security module
+    otp = await send_password_reset_otp(email)
+    
+    # Here you would send the OTP via email (not implemented in this example)
+    # send_email(user.email, "Your OTP", f"Your OTP is: {otp}")
+    
+    logger.info(f"OTP sent to {email}: {otp}")
+    return True
+
+
+async def update_password_with_otp(email: str, otp: str, new_password1: str, new_password2: str) -> bool:
+    # Reset password using OTP verification
+    # Args: email (str): User's email address, otp (str): One-time password received by user
+    # new_password1 (str): New password, new_password2 (str): New password confirmation
+    # Returns: bool: True if password updated successfully, raises HTTPException otherwise
+    logger.info(f"Updating password for {email} using OTP")
+    
+    # Establish database connection
+    db = get_db()
+    if db is None:
+        logger.error("Database connection failed")
+        raise HTTPException(status_code=500, detail="Database connection error")
+    
+    # Verify user exists in database
+    logger.info(f"Verifying user exists with email: {email}")
+    user = db["users"].find_one({"email": email})
+    
+    if not user:
+        logger.warning(f"No user found with email: {email}")
+        raise HTTPException(status_code=404, detail="User not found")
+    
+    # Verify the OTP is valid
+    logger.info(f"Verifying OTP for email: {email}")
+    verify_password_reset_otp(email, otp)
+    logger.info("OTP verification successful")
+    
+    # Validate new password strength
+    logger.info("Validating new password strength")
+    await validate_password_strength(new_password1)
+    
+    # Ensure both password fields match
+    if new_password1 != new_password2:
+        logger.error("New passwords do not match")
+        raise HTTPException(status_code=400, detail="New passwords do not match")
+    
+    logger.info("New passwords match, proceeding with update")
+    
+    # Hash the new password
+    logger.info("Hashing new password")
+    hashed_password = hash_password(new_password1)
+    logger.info(f"New password hashed for {email}")
+    
+    # Update the user's password in the database and clear OTP
+    logger.info(f"Updating password in database for email: {email}")
+    result = db["users"].update_one(
+        {"email": email},
+        {"$set": {"hashed_password": hashed_password, "otp": None}}  # Clear OTP after use
+    )
+    
+    # Check if update was successful
+    if result.modified_count == 0:
+        logger.error(f"Failed to update password for {email}")
+        return False
+    
+    logger.info(f"Password updated successfully for {email}")
+    return True
\ No newline at end of file
diff --git a/src/API/core/security.py b/src/API/core/security.py
new file mode 100644
index 00000000..a121f1ec
--- /dev/null
+++ b/src/API/core/security.py
@@ -0,0 +1,155 @@
+
+from typing import Optional
+from fastapi import HTTPException
+from jose import jwt, JWTError
+from random import randint
+import logging
+from datetime import datetime, timezone
+from ..db.db_connection import get_db, close_db
+from ..Users.models import UserModel
+import re, os
+from fastapi import HTTPException
+from dotenv import load_dotenv
+
+from fastapi_mail import FastMail, MessageSchema, ConnectionConfig, MessageType
+
+
+from dateutil import parser
+load_dotenv()
+SECRET_KEY = os.getenv("SECRET_KEY")
+ALGORITHM = os.getenv("ALGORITHM", "HS256")
+RESET_TOKEN_EXPIRE_MINUTES = int(os.getenv("RESET_TOKEN_EXPIRE_MINUTES", "300"))
+EMAIL_USERNAME = os.getenv("EMAIL_USERNAME")
+EMAIL_PASSWORD = os.getenv("EMAIL_PASSWORD")
+EMAIL_FROM = os.getenv("EMAIL_FROM", "noreply@example.com")
+EMAIL_PORT = int(os.getenv("SMTP_PORT", "587"))
+EMAIL_SERVER = os.getenv("SMTP_SERVER", "smtp.gmail.com")
+
+conf = ConnectionConfig(
+        MAIL_USERNAME=EMAIL_USERNAME,
+        MAIL_PASSWORD=EMAIL_PASSWORD,
+        MAIL_FROM=EMAIL_FROM,
+        MAIL_PORT=EMAIL_PORT,
+        MAIL_SERVER=EMAIL_SERVER,
+        USE_CREDENTIALS=True,
+        MAIL_STARTTLS=True,
+        MAIL_SSL_TLS=False,
+    )
+# Logger setup
+logger = logging.getLogger("security")
+logging.basicConfig(level=logging.INFO)
+
+
+def verify_reset_token(token: str) -> str:
+    logger.info("Verifying reset token.")
+    try:
+        payload = jwt.decode(token, SECRET_KEY, algorithms=[ALGORITHM])
+        email: str = payload.get("sub")
+        if email is None:
+            raise HTTPException(status_code=400, detail="Invalid token")
+        return email
+    except JWTError:
+        raise HTTPException(status_code=400, detail="Invalid or expired token")
+
+async def validate_password_strength(password: str) -> None:
+    logger.info("Validating password strength.")
+
+    if len(password) < 8:
+        raise HTTPException(status_code=400, detail="Password must be at least 8 characters long.")
+    if not re.search(r"[A-Z]", password):
+        raise HTTPException(status_code=400, detail="Password must contain at least one uppercase letter.")
+    if not re.search(r"[a-z]", password):
+        raise HTTPException(status_code=400, detail="Password must contain at least one lowercase letter.")
+    if not re.search(r"[0-9]", password):
+        raise HTTPException(status_code=400, detail="Password must contain at least one number.")
+    if not re.search(r"[!@#$%^&*(),.?\":{}|<>]", password):
+        raise HTTPException(status_code=400, detail="Password must contain at least one special character.")
+
+#==========OTP============
+def verify_password_reset_otp(email: str, otp: str) -> bool:
+    """Verify the 6-digit OTP sent to user's email"""
+    logger.info(f"Verifying OTP for email: {email}")
+    
+    db = get_db()
+    if db is None:
+        logger.error("Database connection failed")
+        raise HTTPException(status_code=500, detail="Database connection error")
+    
+    user = db["users"].find_one({"email": email})
+    
+    if not user:
+        logger.warning(f"No user found with email: {email}")
+        logger.error("User not found")
+        raise HTTPException(status_code=404, detail="User not found")
+       
+    if str(user.get("otp")) != otp:
+        logger.warning(f"Invalid OTP for email: {email}")
+        logger.error("Invalid OTP provided")
+        raise HTTPException(status_code=400, detail="Invalid OTP")
+    otp_created_at = user.get("otp_created_at")
+    # Check if OTP is expired (e.g., older than 5 minutes)
+    if isinstance(otp_created_at, str):
+        otp_created_at = parser.isoparse(otp_created_at)
+    elif otp_created_at and otp_created_at.tzinfo is None:
+        otp_created_at = otp_created_at.replace(tzinfo=timezone.utc)
+
+    # Now safe to compare
+    if otp_created_at and (datetime.now(timezone.utc) - otp_created_at).total_seconds() > 300:
+        logger.warning(f"OTP expired for email: {email}")
+        raise HTTPException(status_code=400, detail="OTP expired")
+    
+    logger.info(f"OTP verified successfully for email: {email}")
+    return True
+def generate_otp(email: str) -> str:
+    """Generate a 6-digit OTP for password reset"""
+    logger.info(f"Generating OTP for email: {email}")
+    generated_otp = randint(100000, 999999)
+    # otp = OTP()
+    
+    # otp.otp = str(rand)
+    # otp.created_at = datetime.now(timezone.utc)
+    
+    
+    
+    # Store OTP in the database
+    logger.info(f"Storing OTP for email: {email}")
+    db = get_db()
+    if db is None:
+        logger.error("Database connection failed")
+        raise HTTPException(status_code=500, detail="Database connection error")
+    
+    db["users"].update_one(
+        {"email": email},
+        {"$set": {"otp": generated_otp, "otp_created_at": datetime.now(timezone.utc)}},
+        upsert=True
+    )
+    
+    return generated_otp
+
+async def send_password_reset_otp(email: str) -> bool:
+    """Send OTP to user's email for password reset"""
+    logger.info(f"Sending OTP to email: {email}, Configuring FastMail to send OTP to {email}, from {EMAIL_FROM}, with {EMAIL_USERNAME}")
+    
+    otp = generate_otp(email)
+    
+    # Configure FastMail for sending emails
+   
+    message = MessageSchema(
+        subject="Password Reset OTP",
+        recipients=[email],
+        body=f"Your OTP for password reset is: {otp}",
+        subtype=MessageType.plain
+    )
+    
+    print("\n\n\n\n, ", email, " type:", type(email))
+    
+    try:
+        
+        print("\n\n CONFIG: ", conf)
+        fm = FastMail(conf)
+        await fm.send_message(message)
+        logger.info(f"OTP sent to {email}: {otp}")
+        return True
+    except Exception as e:
+        logger.error(f"Failed to send OTP to {email}: {e}")
+        raise HTTPException(status_code=500, detail="Failed to send OTP")
diff --git a/src/API/db/db_connection.py b/src/API/db/db_connection.py
new file mode 100644
index 00000000..add2afa1
--- /dev/null
+++ b/src/API/db/db_connection.py
@@ -0,0 +1,266 @@
+from pymongo import MongoClient
+from pymongo.database import Database
+from motor.motor_asyncio import AsyncIOMotorClient
+from fastapi import HTTPException
+import logging
+from dotenv import load_dotenv
+import os
+
+# Logger setup
+logger = logging.getLogger("db_connection")
+
+# Load environment variables
+load_dotenv('/app/.env')
+
+# MongoDB connection settings
+SECRET_KEY = os.getenv("SECRET_KEY")
+ALGORITHM = os.getenv("ALGORITHM", "HS256")
+RESET_TOKEN_EXPIRE_MINUTES = int(os.getenv("RESET_TOKEN_EXPIRE_MINUTES", "300"))
+MONGO_URL = os.getenv("MONGO_URI") or os.getenv("MONGODB_URI")
+logger.info(f"THIS IS THE MONGO_URL: {MONGO_URL}")
+MONGO_DB_NAME = os.getenv("MONGO_DB_NAME") or os.getenv("DB_NAME", "nextsqa_db")
+logger.info(f"THIS IS THE MONGO_DB_NAME: {MONGO_DB_NAME}")
+
+# Global client instances (for reuse)
+_sync_client = None
+_async_client = None
+
+def get_db() -> Database:
+    """
+    Get a MongoDB database connection (synchronous).
+    """
+    global _sync_client
+    try:
+        logger.info(f"THIS IS THE MONGO_URL: {MONGO_URL}")
+        if not MONGO_URL:
+            logger.error("MongoDB connection string not configured")
+            raise HTTPException(status_code=500, detail="Database not configured")
+            
+        if _sync_client is None:
+            logger.info(f"Connecting to MongoDB: {MONGO_URL[:50]}...")
+            _sync_client = MongoClient(MONGO_URL)
+            
+        logger.info(f"THIS IS THE MONGO_DB_NAME: {MONGO_DB_NAME}")
+        db = _sync_client[MONGO_DB_NAME]
+        logger.info("Database connection established.")
+        return db
+    except Exception as e:
+        logger.error(f"Database connection error: {e}")
+        raise HTTPException(status_code=500, detail="Database connection error")
+
+async def get_async_db():
+    """
+    Get a MongoDB database connection (asynchronous).
+    """
+    global _async_client
+    try:
+        if not MONGO_URL:
+            logger.error("MongoDB connection string not configured")
+            raise HTTPException(status_code=500, detail="Database not configured")
+            
+        if _async_client is None:
+            logger.info(f"Connecting to MongoDB (async): {MONGO_URL[:50]}...")
+            _async_client = AsyncIOMotorClient(MONGO_URL)
+            
+        db = [MONGO_DB_NAME]
+        logger.info("Async database connection established.")
+        return db
+    except Exception as e:
+        logger.error(f"Async database connection error: {e}")
+        raise HTTPException(status_code=500, detail="Database connection error")
+
+def close_db(db: Database = None):
+    """
+    Close the MongoDB database connection (synchronous).
+    """
+    global _sync_client
+    try:
+        if db and hasattr(db, 'client'):
+            db.client.close()
+        elif _sync_client:
+            _sync_client.close()
+            _sync_client = None
+        logger.info("Database connection closed.")
+    except Exception as e:
+        logger.error(f"Error closing database connection: {e}")
+        raise HTTPException(status_code=500, detail="Error closing database connection")
+
+async def close_async_db():
+    """
+    Close the MongoDB database connection (asynchronous).
+    """
+    global _async_client
+    try:
+        if _async_client:
+            _async_client.close()
+            _async_client = None
+        logger.info("Async database connection closed.")
+    except Exception as e:
+        logger.error(f"Error closing async database connection: {e}")
+
+def check_db_health() -> dict:
+    """
+    Check database health and connectivity.
+    Returns detailed health information.
+    """
+    health_info = {
+        "healthy": False,
+        "database": "unknown",
+        "connection_string": "not_configured",
+        "database_name": MONGO_DB_NAME,
+        "error": None,
+        "server_info": None,
+        "collections_count": None
+    }
+    
+    try:
+        # Check if connection string is configured
+        if not MONGO_URL:
+            health_info.update({
+                "error": "MongoDB connection string not configured",
+                "connection_string": "missing"
+            })
+            logger.warning("MongoDB health check failed: No connection string")
+            return health_info
+            
+        # Mask sensitive parts of connection string for logging
+        masked_url = MONGO_URL[:50] + "..." if len(MONGO_URL) > 50 else MONGO_URL
+        health_info["connection_string"] = "configured"
+        
+        # Test connection
+        client = MongoClient(MONGO_URL, serverSelectionTimeoutMS=5000)  # 5 second timeout
+        
+        # Ping the database
+        client.admin.command('ping')
+        logger.info("MongoDB ping successful")
+        
+        # Get database
+        db = client[MONGO_DB_NAME]
+        
+        # Get server info
+        server_info = client.server_info()
+        health_info["server_info"] = {
+            "version": server_info.get("version"),
+            "git_version": server_info.get("gitVersion"),
+            "platform": server_info.get("platform")
+        }
+        
+        # Count collections
+        collections = db.list_collection_names()
+        health_info["collections_count"] = len(collections)
+        
+        # Test a simple operation
+        db.admin.command('serverStatus')
+        
+        health_info.update({
+            "healthy": True,
+            "database": "connected",
+            "message": "Database is healthy and responsive"
+        })
+        
+        logger.info(f"MongoDB health check passed. Collections: {len(collections)}")
+        
+        # Close the test connection
+        client.close()
+        
+    except Exception as e:
+        error_msg = str(e)
+        health_info.update({
+            "healthy": False,
+            "database": "error",
+            "error": error_msg
+        })
+        logger.error(f"MongoDB health check failed: {error_msg}")
+    
+    return health_info
+
+async def check_async_db_health() -> dict:
+    """
+    Check database health asynchronously.
+    """
+    health_info = {
+        "healthy": False,
+        "database": "unknown",
+        "connection_string": "not_configured",
+        "database_name": MONGO_DB_NAME,
+        "error": None,
+        "server_info": None,
+        "collections_count": None
+    }
+    
+    try:
+        if not MONGO_URL:
+            health_info.update({
+                "error": "MongoDB connection string not configured",
+                "connection_string": "missing"
+            })
+            return health_info
+            
+        health_info["connection_string"] = "configured"
+        
+        # Test async connection
+        client = AsyncIOMotorClient(MONGO_URL, serverSelectionTimeoutMS=5000)
+        
+        # Ping the database
+        await client.admin.command('ping')
+        logger.info("MongoDB async ping successful")
+        
+        # Get database
+        db = client[MONGO_DB_NAME]
+        
+        # Get server info
+        server_info = await client.admin.command('serverStatus')
+        health_info["server_info"] = {
+            "version": server_info.get("version"),
+            "host": server_info.get("host"),
+            "uptime": server_info.get("uptime")
+        }
+        
+        # Count collections
+        collections = await db.list_collection_names()
+        health_info["collections_count"] = len(collections)
+        
+        health_info.update({
+            "healthy": True,
+            "database": "connected",
+            "message": "Async database is healthy and responsive"
+        })
+        
+        logger.info(f"MongoDB async health check passed. Collections: {len(collections)}")
+        
+        # Close the test connection
+        client.close()
+        
+    except Exception as e:
+        error_msg = str(e)
+        health_info.update({
+            "healthy": False,
+            "database": "error",
+            "error": error_msg
+        })
+        logger.error(f"MongoDB async health check failed: {error_msg}")
+    
+    return health_info
+
+# Utility functions for connection info
+def get_connection_info() -> dict:
+    """Get MongoDB connection information (without sensitive data)"""
+    return {
+        "database_name": MONGO_DB_NAME,
+        "connection_configured": bool(MONGO_URL),
+        "connection_type": "MongoDB Atlas" if "mongodb.net" in (MONGO_URL or "") else "MongoDB",
+    }
+
+def test_database_operation() -> bool:
+    """Test a basic database operation"""
+    try:
+        db = get_db()
+        # Test inserting and removing a test document
+        test_collection = db.test_health_check
+        result = test_collection.insert_one({"test": "health_check", "timestamp": "now"})
+        test_collection.delete_one({"_id": result.inserted_id})
+        logger.info("Database operation test successful")
+        return True
+    except Exception as e:
+        logger.error(f"Database operation test failed: {e}")
+        return False
\ No newline at end of file
diff --git a/src/API/main.py b/src/API/main.py
index 3c60b166..17a1fd7f 100644
--- a/src/API/main.py
+++ b/src/API/main.py
@@ -1,77 +1,128 @@
-from fastapi import FastAPI, WebSocket, WebSocketDisconnect, HTTPException
-from fastapi.staticfiles import StaticFiles
-from fastapi.responses import FileResponse
+from fastapi import FastAPI, Request, WebSocket, WebSocketDisconnect
 from fastapi.middleware.cors import CORSMiddleware
-from pydantic import BaseModel
-from pathlib import Path
+from fastapi.staticfiles import StaticFiles
+from fastapi.responses import HTMLResponse, FileResponse
 import os
+import uvicorn
+from pathlib import Path
 
-from src.webui.components.browser_use_agent_tab import run_agent_task
+# Import API routers
+from .Ai_Testing.routes import router as ai_testing_router
+from .Users.routes import router as users_router
 from src.websocket.websocket_manager import WebSocketManager
 
-app = FastAPI()
+# Create FastAPI app
+app = FastAPI(
+    title="Browser Use AI Agent API",
+    description="API for browser automation and AI agent tasks",
+    version="1.0.0",
+    docs_url="/docs",
+    redoc_url="/redoc"
+)
+
+# Add CORS middleware
 app.add_middleware(
     CORSMiddleware,
-    allow_origins=["*"],
+    allow_origins=["*"],  # Configure this properly for production
     allow_credentials=True,
     allow_methods=["*"],
     allow_headers=["*"],
 )
-manager = WebSocketManager()
 
 # Mount static files
-app.mount("/static", StaticFiles(directory=os.getcwd()), name="static")
-
-# Set display environment for Docker (headless)
-if not os.getenv("DISPLAY"):
-    os.environ["DISPLAY"] = ":99"
-
-
-# 🧠 Request body model
-class AgentRequest(BaseModel):
-    query: str
-    url: str
-
-
-# 🎯 Run agent task and send logs via WebSocket
-@app.post("/run-agent")
-
-async def run_agent(request: AgentRequest):
-    try:
-        print(f"🔄 Starting agent with DISPLAY={os.getenv('DISPLAY')}")
-
-        async def message_callback(message: str):
-            await manager.send_message(message)
-
-        result = await run_agent_task(request.query, request.url, message_callback=message_callback)
-
-        return {
-            "status": "success",
-            "task_id": result["task_id"],
-            "final_result": result["final_result"]
-        }
-    except Exception as e:
-        print(f"❌ Agent error: {e}")
-        raise HTTPException(status_code=500, detail=str(e))
-
-
-# ⛔ Optional Stop Agent
-@app.post("/stop-agent")
-def stop_agent():
-    return {"status": "stopped"}
+static_path = Path(__file__).parent.parent.parent / "static"
+app.mount("/static", StaticFiles(directory=str(static_path)), name="static")
 
+# Initialize WebSocket manager
+manager = WebSocketManager()
 
-# 🌐 Serve frontend
-@app.get("/")
-async def serve_frontend():
-    return FileResponse("static/index.html")
+# Set the WebSocket manager in the services
+from .Ai_Testing.services import set_websocket_manager
+set_websocket_manager(manager)
 
+# Include API routers
+app.include_router(ai_testing_router, prefix="/agent-api", tags=["AI Testing"])
+app.include_router(users_router, prefix="/users", tags=["Users"])
 
+# WebSocket endpoint
 @app.websocket("/ws")
 async def websocket_endpoint(websocket: WebSocket):
     await manager.connect(websocket)
     try:
         while True:
             await websocket.receive_text()  # keep alive
-    except:
+    except WebSocketDisconnect:
         manager.disconnect(websocket)
+
+# Health check endpoint
+@app.get("/health")
+async def health_check():
+    return {"status": "healthy", "service": "browser-use-ai-agent"}
+
+# Root endpoint that serves the custom HTML interface
+@app.get("/", response_class=HTMLResponse)
+async def root():
+    index_path = static_path / "index.html"
+    if index_path.exists():
+        return FileResponse(str(index_path))
+    else:
+        return """
+        <!DOCTYPE html>
+        <html>
+        <head>
+            <title>Browser Use AI Agent</title>
+            <style>
+                body { font-family: Arial, sans-serif; margin: 40px; }
+                .container { max-width: 800px; margin: 0 auto; }
+                .button { display: inline-block; padding: 12px 24px; margin: 10px; 
+                         background-color: #007bff; color: white; text-decoration: none; 
+                         border-radius: 5px; }
+                .button:hover { background-color: #0056b3; }
+                .api-button { background-color: #28a745; }
+                .api-button:hover { background-color: #1e7e34; }
+            </style>
+        </head>
+        <body>
+            <div class="container">
+                <h1>🚀 Browser Use AI Agent</h1>
+                <p>Welcome to the Browser Use AI Agent platform. Choose your interface:</p>
+                
+                <div>
+                    <a href="http://localhost:7788" class="button">🎨 Web UI (Port 7788)</a>
+                    <a href="http://localhost:8000/docs" class="button api-button">📚 API Documentation (Port 8000)</a>
+                </div>
+                
+                <h2>Available Services:</h2>
+                <ul>
+                    <li><strong>Web UI:</strong> Interactive HTML interface for browser automation</li>
+                    <li><strong>API:</strong> RESTful API endpoints for programmatic access</li>
+                    <li><strong>Swagger Docs:</strong> Interactive API documentation</li>
+                </ul>
+            </div>
+        </body>
+        </html>
+        """
+
+# API info endpoint
+@app.get("/api/info")
+async def api_info():
+    return {
+        "name": "Browser Use AI Agent API",
+        "version": "1.0.0",
+        "description": "API for browser automation and AI agent tasks",
+        "endpoints": {
+            "ui": "http://localhost:7788",
+            "api_docs": "http://localhost:7788/docs",
+            "health": "http://localhost:7788/health",
+            "ai_testing": "http://localhost:7788/agent-api",
+            "users": "http://localhost:7788/users"
+        }
+    }
+
+if __name__ == "__main__":
+    uvicorn.run(
+        "src.API.main:app",
+        host="0.0.0.0",
+        port=7788,
+        reload=True
+    ) 
\ No newline at end of file
diff --git a/src/agent/browser_use/browser_use_agent.py b/src/agent/browser_use/browser_use_agent.py
index f515b767..4d61f41d 100644
--- a/src/agent/browser_use/browser_use_agent.py
+++ b/src/agent/browser_use/browser_use_agent.py
@@ -69,6 +69,7 @@ async def run(
 
             # Execute initial actions if provided
             if self.initial_actions:
+                logger.info(f"Initial actions: {self.initial_actions}")
                 result = await self.multi_act(self.initial_actions, check_for_new_elements=False)
                 self.state.last_result = result
 
diff --git a/supervisord.conf b/supervisord.conf
index 28c60427..e08079d0 100644
--- a/supervisord.conf
+++ b/supervisord.conf
@@ -65,8 +65,8 @@ startretries=5
 startsecs=3
 depends_on=x11vnc
 
-[program:webui]
-command=uvicorn src.API.main:app --host 0.0.0.0 --port 7788
+[program:fastapi]
+command=uvicorn src.API.main:app --host 0.0.0.0 --port 8000
 directory=/app
 autorestart=true
 stdout_logfile=/dev/stdout
@@ -77,4 +77,33 @@ priority=400
 startretries=3
 startsecs=3
 stopsignal=TERM
+stopwaitsecs=10
+
+# [program:webui]
+# command=python webui.py --ip 0.0.0.0 --port 7788
+# directory=/app
+# autorestart=true
+# stdout_logfile=/dev/stdout
+# stdout_logfile_maxbytes=0
+# stderr_logfile=/dev/stderr
+# stderr_logfile_maxbytes=0
+# priority=500
+# startretries=3
+# startsecs=3
+# stopsignal=TERM
+# stopwaitsecs=10
+
+
+[program:fastapi_7788]
+command=uvicorn src.API.main:app --host 0.0.0.0 --port 7788
+directory=/app
+autorestart=true
+stdout_logfile=/dev/stdout
+stdout_logfile_maxbytes=0
+stderr_logfile=/dev/stderr
+stderr_logfile_maxbytes=0
+priority=450
+startretries=3
+startsecs=3
+stopsignal=TERM
 stopwaitsecs=10
\ No newline at end of file

From 30da510fd2856c2bb66353548159c5e4a129c91c Mon Sep 17 00:00:00 2001
From: Mohsin Ali Irfan <mohsin.ali@codeupscale.com>
Date: Tue, 12 Aug 2025 12:59:29 +0500
Subject: [PATCH 32/38] schmea

---
 src/API/Ai_Testing/schemas.py | 5 +++++
 static/index.html             | 4 ++--
 2 files changed, 7 insertions(+), 2 deletions(-)
 create mode 100644 src/API/Ai_Testing/schemas.py

diff --git a/src/API/Ai_Testing/schemas.py b/src/API/Ai_Testing/schemas.py
new file mode 100644
index 00000000..2dfa1e19
--- /dev/null
+++ b/src/API/Ai_Testing/schemas.py
@@ -0,0 +1,5 @@
+from pydantic import BaseModel, Field
+
+class AgentRequest(BaseModel):
+    query: str = Field(..., description="The query to run the agent on")
+    url: str = Field(..., description="The URL to run the agent on")
\ No newline at end of file
diff --git a/static/index.html b/static/index.html
index 36d6e4de..31eff36e 100644
--- a/static/index.html
+++ b/static/index.html
@@ -230,7 +230,7 @@ <h3>Live Browser Interaction:</h3>
     const vncUrl = "http://localhost:6080/vnc.html?autoconnect=true&resize=scale&password=youvncpassword&quality=6&compression=6&clipViewport=true&scaleViewport=true&reconnect=true&fullscreen=true&scale=1.0&fitMode=scale&viewOnly=false&showDotCursor=true&background=#000000";
     vncIframe.src = vncUrl;
     try {
-        const response = await fetch("/run-agent", {
+        const response = await fetch("/agent-api/run-agent/", {
             method: "POST",
             headers: { "Content-Type": "application/json" },
             body: JSON.stringify({ query, url }),
@@ -292,7 +292,7 @@ <h3>Live Browser Interaction:</h3>
     // Keep the websocket/connection as is on clear.
 }
 function stopTest() {
-    fetch("/stop-agent", { method: "POST" })
+    fetch("/agent-api/stop-agent", { method: "POST" })
         .then(res => res.json())
         .then(data => {
             alert(data.status || "Stopped.");

From d5767e9af01d62715a9dd0b70e672dff0be19676 Mon Sep 17 00:00:00 2001
From: itsareebalatif <itsareebalatif@gmail.com>
Date: Wed, 13 Aug 2025 17:42:36 +0500
Subject: [PATCH 33/38] video are saved in orderd folder and merged video is
 creating

---
 src/browser/custom_browser.py                 |  12 +-
 src/browser/custom_context.py                 | 476 ++++++++++++++----
 src/outputdata/agent_execution.json           |  10 -
 src/outputdata/output_data.py                 |  54 +-
 src/webui/components/browser_use_agent_tab.py |  31 +-
 5 files changed, 451 insertions(+), 132 deletions(-)

diff --git a/src/browser/custom_browser.py b/src/browser/custom_browser.py
index d248ed2f..77caf00c 100644
--- a/src/browser/custom_browser.py
+++ b/src/browser/custom_browser.py
@@ -27,7 +27,6 @@
 import socket
 
 from .custom_context import CustomBrowserContext
-from .browser_recorder import BrowserRecorder
 
 logger = logging.getLogger(__name__)
 
@@ -36,7 +35,6 @@ class CustomBrowser(Browser):
 
     def __init__(self, *args, **kwargs):
         super().__init__(*args, **kwargs)
-        self.recorder = BrowserRecorder()
 
     async def new_context(self, config: BrowserContextConfig | None = None) -> CustomBrowserContext:
         """Create a browser context"""
@@ -115,15 +113,7 @@ async def _setup_builtin_browser(self, playwright: Playwright) -> PlaywrightBrow
             handle_sigint=False,
         )
 
-        # Set up video recording before returning browser
-        logger.info("\n🎬 Setting up browser with video recording...")
+        # Keep a reference to the Playwright browser; per-tab recordings are managed by CustomBrowserContext
         self.playwright_browser = browser
-        
-        # Initialize recording
-        try:
-            await self.recorder.setup_recording(browser)
-            logger.info("✅ Browser ready with video recording enabled")
-        except Exception as e:
-            logger.error(f"⚠️ Video recording setup failed: {str(e)}")
 
         return browser
diff --git a/src/browser/custom_context.py b/src/browser/custom_context.py
index 0209cd63..0a5c0fe2 100644
--- a/src/browser/custom_context.py
+++ b/src/browser/custom_context.py
@@ -1,14 +1,18 @@
 import json
 import logging
 import os
+import re
+import shutil
 from pathlib import Path
-from typing import Optional, List
+from typing import Optional, List, Set
+from urllib.parse import urlparse
 
 from browser_use.browser.browser import Browser, IN_DOCKER
 from browser_use.browser.context import BrowserContext, BrowserContextConfig
 from playwright.async_api import Browser as PlaywrightBrowser
 from playwright.async_api import BrowserContext as PlaywrightBrowserContext
 from browser_use.browser.context import BrowserContextState
+from src.outputdata.output_data import merge_videos_in_order
 
 logger = logging.getLogger(__name__)
 
@@ -21,131 +25,411 @@ def __init__(
     ):
         super(CustomBrowserContext, self).__init__(browser=browser, config=config, state=state)
         self._playwright_context: Optional[PlaywrightBrowserContext] = None
+        self._playwright_contexts: List[PlaywrightBrowserContext] = []
+        self._handled_pages: Set = set()
+        self._base_video_dir = os.path.join("/app", "src", "outputdata", "videos")
+
+        # Track tab ordering and metadata
+        self.tab_counter = 0
+        self.tab_records: dict = {}
+        self.context_records: dict = {}
+        self._claimed_videos: Set[str] = set()
+        self._closed_tabs: List[dict] = []
+        self._base_dir_cleaned: bool = False
+        self._merged_video_path: Optional[str] = None
 
     async def _setup_context(self) -> PlaywrightBrowserContext:
-        """Set up the Playwright context with video recording enabled"""
+        """Deprecated: Do not use. Recording is managed in _create_context."""
         logger.info("\n[DEBUG] Creating new browser context...")
         
-        # Create videos directory under src/outputdata
-        # Paths for local development
-        # video_dir = os.path.join(os.path.dirname(os.path.dirname(__file__)), "outputdata", "videos")
+        # Ensure base directory exists
+        os.makedirs(self._base_video_dir, exist_ok=True)
+        logger.info(f"[DEBUG] Base video directory: {self._base_video_dir}")
         
-        # Paths for Dockerized application
-        video_dir = os.path.join("/app", "src", "outputdata", "videos")
-        os.makedirs(video_dir, exist_ok=True)
-        logger.info(f"[DEBUG] Video directory: {video_dir}")
+        # Create base context WITHOUT recording; we will migrate all real tabs to per-tab contexts
+        context = await self.browser.playwright_browser.new_context()
+        logger.info("[DEBUG] Base context created without recording; tabs will be migrated")
+        self._playwright_contexts.append(context)
         
-        context = await self.browser.playwright_browser.new_context(
-            record_video_dir=video_dir,
-            record_video_size={"width": 1280, "height": 720}
-        )
-        logger.info("[DEBUG] Context created with video recording settings")
-        
-        # Add page event handler
+        # Add page event handler that migrates tabs to new contexts
         async def handle_new_page(page):
-            logger.info(f"[DEBUG] New page created: {page}")
-            if hasattr(page, 'video'):
-                logger.info(f"[DEBUG] New page has video attribute")
-            else:
-                logger.info(f"[DEBUG] New page has NO video attribute")
+            if page in self._handled_pages:
+                return
+
+            # Always allocate a new sequence for any real tab
+            seq = None
+
+            # Determine URL
+            url_to_open = page.url
+            if not url_to_open or url_to_open == "about:blank":
+                try:
+                    await page.wait_for_event("framenavigated", timeout=8000)
+                    url_to_open = page.url
+                except Exception:
+                    url_to_open = page.url or "about:blank"
+
+            # Skip blank helper tabs
+            if url_to_open == "about:blank":
+                logger.info("[DEBUG] about:blank detected, migrating immediately to start recording")
+                # Allocate sequence and migrate now so the first navigation is recorded
+                self.tab_counter += 1
+                seq_local = self.tab_counter
+                unique_dir_local = os.path.join(self._base_video_dir, f"tab_{seq_local:03d}_initial")
+                try:
+                    os.makedirs(unique_dir_local, exist_ok=True)
+                except Exception:
+                    unique_dir_local = self._base_video_dir
+                try:
+                    new_ctx_local = await self.browser.playwright_browser.new_context(
+                        record_video_dir=unique_dir_local,
+                        record_video_size={"width": 1280, "height": 720}
+                    )
+                    self._playwright_contexts.append(new_ctx_local)
+                    self.context_records[new_ctx_local] = {"seq": seq_local, "url": "about:blank", "dir": unique_dir_local}
+
+                    new_page_local = await new_ctx_local.new_page()  # starts at about:blank
+                    self._handled_pages.add(new_page_local)
+                    self.tab_records[new_page_local] = {"seq": seq_local, "url": "about:blank", "dir": unique_dir_local}
+
+                    def on_nav_update(ev):
+                        self.tab_records[new_page_local]["url"] = ev.url
+                        self.context_records[new_ctx_local]["url"] = ev.url
+                    new_page_local.on("framenavigated", on_nav_update)
+
+                    new_ctx_local.on("page", handle_new_page)
+                    try:
+                        await page.close()
+                    except Exception:
+                        pass
+                    logger.info(f"[TAB {seq_local:03d}] Migrated initial about:blank to {unique_dir_local}")
+                except Exception as e:
+                    logger.error(f"[DEBUG] Failed immediate migration: {e}")
+                return
+
+            # Allocate a new sequence number now
+            self.tab_counter += 1
+            seq = self.tab_counter
+            
+            # Build unique directory for this tab
+            url_slug = self._url_to_slug(url_to_open)
+            unique_dir = os.path.join(self._base_video_dir, f"tab_{seq:03d}_{url_slug}")
+            try:
+                os.makedirs(unique_dir, exist_ok=True)
+            except Exception as e:
+                logger.warning(f"[TAB {seq:03d}] Could not create dir {unique_dir}: {e}")
+                unique_dir = self._base_video_dir
+
+            # Create new context for this tab
+            try:
+                new_ctx = await self.browser.playwright_browser.new_context(
+                    record_video_dir=unique_dir,
+                    record_video_size={"width": 1280, "height": 720}
+                )
+                self._playwright_contexts.append(new_ctx)
+                # Track context metadata for reliable save/rename
+                self.context_records[new_ctx] = {"seq": seq, "url": url_to_open, "dir": unique_dir}
+
+                new_page = await new_ctx.new_page()
+                self._handled_pages.add(new_page)
+                if url_to_open and url_to_open != "about:blank":
+                    await new_page.goto(url_to_open)
+
+                # Track metadata
+                self.tab_records[new_page] = {"seq": seq, "url": url_to_open, "dir": unique_dir}
+
+                def on_nav(event):
+                    self.tab_records[new_page]["url"] = event.url
+                new_page.on("framenavigated", on_nav)
+
+                # Also observe future tabs from this context
+                new_ctx.on("page", handle_new_page)
+
+                # Close original stray page
+                try:
+                    await page.close()
+                except Exception:
+                    pass
+
+                logger.info(f"[TAB {seq:03d}] Migrated to new context -> {unique_dir}")
+            except Exception as e:
+                logger.error(f"[TAB {seq:03d}] Migration failed: {e}")
         
         context.on("page", handle_new_page)
-        logger.info("[DEBUG] Page event handler added")
+        logger.info("[DEBUG] Page event handler with per-tab migration added")
+
+        # Process any existing pages (e.g., initial page created before handler attached)
+        try:
+            for existing_page in list(context.pages):
+                try:
+                    await handle_new_page(existing_page)
+                except Exception as e:
+                    logger.warning(f"[DEBUG] Failed to process existing page: {e}")
+        except Exception:
+            pass
         
         return context
 
     async def setup(self):
-        # This is the method that will be called from the browser_use_agent_tab
-        self._playwright_context = await self._setup_context()
+        # No-op: recording/migration is handled in _create_context (the session context)
+        logger.info("[DEBUG] setup() no-op; per-tab recording handled by _create_context")
+        return None
+
+    async def new_page(self):
+        """Compatibility helper used by UI code for maximizing window.
+        Delegates to the underlying Playwright context of the base library session."""
+        session = await self.get_session()
+        return await session.context.new_page()
 
     async def _create_context(self, browser: PlaywrightBrowser) -> BrowserContext:
-        """Create a new browser context with video recording enabled"""
+        """Create a new browser context with per-tab migration to unique video dirs"""
         logger.info("\n[DEBUG] Creating new browser context...")
+        # Clean base directory once per run so no previous videos remain
+        if not self._base_dir_cleaned:
+            try:
+                shutil.rmtree(self._base_video_dir, ignore_errors=True)
+            except Exception:
+                pass
+            os.makedirs(self._base_video_dir, exist_ok=True)
+            self._base_dir_cleaned = True
+            logger.info(f"[DEBUG] Cleaned base video directory: {self._base_video_dir}")
+        else:
+            os.makedirs(self._base_video_dir, exist_ok=True)
         context = await browser.new_context(
-            # Paths for local development
-            # record_video_dir="outputdata/videos",
-            
-            # Paths for Dockerized application
-            record_video_dir="/app/src/outputdata/videos",
+            record_video_dir=self._base_video_dir,
             record_video_size={"width": 1280, "height": 720}
         )
-        logger.info("[DEBUG] Context created with video recording settings")
-        
-        # Add page event handler
+        logger.info("[DEBUG] Context created with recording; per-page folders will be created on save")
+        self._playwright_contexts.append(context)
+
         async def handle_new_page(page):
-            logger.info(f"[DEBUG] New page created: {page}")
-            if hasattr(page, 'video'):
-                logger.info(f"[DEBUG] New page has video attribute")
-            else:
-                logger.info(f"[DEBUG] New page has NO video attribute")
-        
+            # Assign a new sequence for this page in the single recording context
+            self.tab_counter += 1
+            seq = self.tab_counter
+            url_now = page.url or "about:blank"
+            url_slug = self._url_to_slug(url_now)
+            self.tab_records[page] = {"seq": seq, "url": url_now, "dir": os.path.join(self._base_video_dir, f"tab_{seq:03d}_{url_slug}")}
+
+            async def on_nav(_):
+                self.tab_records[page]["url"] = page.url
+            page.on("framenavigated", on_nav)
+
+            async def on_close():
+                info = self.tab_records.get(page) or {}
+                seq_c = info.get("seq", seq)
+                url_c = info.get("url", url_now)
+                url_slug_c = self._url_to_slug(url_c)
+                dir_c = info.get("dir") or os.path.join(self._base_video_dir, f"tab_{seq_c:03d}_{url_slug_c}")
+                try:
+                    os.makedirs(dir_c, exist_ok=True)
+                except Exception:
+                    dir_c = self._base_video_dir
+                # Try direct artifact path
+                try:
+                    original_path = await page.video.path() if hasattr(page, "video") else None
+                except Exception:
+                    original_path = None
+                moved = False
+                if original_path and os.path.exists(original_path) and original_path not in self._claimed_videos:
+                    new_name = f"tab_{seq_c:03d}_{url_slug_c}.webm"
+                    new_path = os.path.join(dir_c, new_name)
+                    try:
+                        if original_path != new_path:
+                            os.rename(original_path, new_path)
+                        self._claimed_videos.add(new_path)
+                        moved = True
+                    except Exception:
+                        pass
+                if not moved:
+                    # Defer to final save; remember this closed tab metadata
+                    self._closed_tabs.append({"seq": seq_c, "url": url_c, "dir": dir_c})
+            page.on("close", on_close)
+            logger.info(f"[TAB {seq:03d}] Tracking page in single recording context: {url_now}")
+
         context.on("page", handle_new_page)
-        logger.info("[DEBUG] Page event handler added")
-        
-        # Check initial pages
-        for i, page in enumerate(context.pages):
-            logger.info(f"[DEBUG] Initial page {i}: {page}")
-            if hasattr(page, 'video'):
-                logger.info(f"[DEBUG] Initial page {i} has video attribute")
-            else:
-                logger.info(f"[DEBUG] Initial page {i} has NO video attribute")
-        
+        logger.info("[DEBUG] Page event handler with per-tab migration added")
+
+        # Process any existing pages immediately
+        try:
+            for existing_page in list(context.pages):
+                try:
+                    await handle_new_page(existing_page)
+                except Exception as e:
+                    logger.warning(f"[DEBUG] Failed to process existing page: {e}")
+        except Exception:
+            pass
+
         return context
 
     async def stop_video_recording(self):
-        """Stop video recording for all pages without closing the context"""
-        if not self._playwright_context:
-            return
+        """Stop video recording for all pages across all contexts without closing contexts."""
+        contexts = list(self._playwright_contexts)
+        if self._playwright_context and self._playwright_context not in contexts:
+            contexts.append(self._playwright_context)
+        for ctx in contexts:
+            pages = list(ctx.pages)
+            logger.info(f"\n[DEBUG] Stopping video recording for {len(pages)} pages")
+            for i, page in enumerate(pages):
+                if hasattr(page, 'video'):
+                    try:
+                        await page.close()
+                        # After closing, artifact is finalized; do not delete here
+                        logger.info(f"[DEBUG] Closed page {i} to finalize video")
+                    except Exception as e:
+                        logger.error(f"[DEBUG] Error closing page {i}: {e}")
 
-        pages = self._playwright_context.pages
-        logger.info(f"\n[DEBUG] Stopping video recording for {len(pages)} pages")
-        
-        for i, page in enumerate(pages):
-            if hasattr(page, 'video'):
+    async def save_videos(self) -> List[str]:
+        """Save videos for all contexts, rename with sequence ordering, and return paths."""
+        video_paths: List[str] = []
+        contexts = list(self._playwright_contexts)
+        if self._playwright_context and self._playwright_context not in contexts:
+            contexts.append(self._playwright_context)
+
+        for ctx in contexts:
+            try:
+                pages = list(ctx.pages)
+            except Exception:
+                continue
+
+            for page in pages:
+                # Prefer page-level tracking; fall back to context-level tracking
+                info = self.tab_records.get(page) or {}
+                seq = info.get("seq")
+                url = info.get("url", "unknown")
+                dir_hint = info.get("dir")
+                url_slug = self._url_to_slug(url)
+
+                # Ensure page is closed to finalize recording
                 try:
-                    # Close the video artifact to stop recording
-                    await page.video.delete()
-                    logger.info(f"[DEBUG] Stopped video recording for page {i}")
-                except Exception as e:
-                    logger.error(f"[DEBUG] Error stopping video for page {i}: {e}")
+                    await page.close()
+                except Exception:
+                    pass
 
-    async def save_videos(self) -> List[str]:
-        """Save video recordings without closing the context"""
-        if not self._playwright_context:
-            return []
+                try:
+                    original_path = await page.video.path() if hasattr(page, "video") else None
+                except Exception:
+                    original_path = None
 
-        video_paths = []
-        pages = self._playwright_context.pages
-        logger.info(f"\n[DEBUG] Saving videos for {len(pages)} pages")
-        
-        for i, page in enumerate(pages):
-            logger.info(f"[DEBUG] Checking page {i}: {page}")
-            if hasattr(page, 'video'):
-                logger.info(f"[DEBUG] Page {i} has video attribute")
+                if not original_path:
+                    # Attempt to find video placed directly in dir_hint and rename it deterministically
+                    if dir_hint and os.path.isdir(dir_hint):
+                        try:
+                            candidates = [
+                                os.path.join(dir_hint, f) for f in os.listdir(dir_hint) if f.endswith('.webm')
+                            ]
+                            if candidates:
+                                latest = max(candidates, key=lambda p: os.path.getmtime(p))
+                                base_dir = dir_hint
+                                if seq is None:
+                                    seq = 0
+                                new_name = f"tab_{seq:03d}_{url_slug}.webm"
+                                new_path = os.path.join(base_dir, new_name)
+                                try:
+                                    if os.path.exists(latest) and latest != new_path:
+                                        os.rename(latest, new_path)
+                                    video_paths.append(new_path if os.path.exists(new_path) else latest)
+                                except Exception:
+                                    video_paths.append(latest)
+                                continue
+                        except Exception:
+                            pass
+                    continue
+
+                # Place final file in the configured per-tab directory
+                base_dir = dir_hint if (dir_hint and os.path.exists(dir_hint)) else self._base_video_dir
+                if dir_hint and not os.path.exists(dir_hint):
+                    try:
+                        os.makedirs(dir_hint, exist_ok=True)
+                        base_dir = dir_hint
+                    except Exception:
+                        base_dir = self._base_video_dir
+
+                if seq is None:
+                    # Fallback if sequence wasn't tracked
+                    seq = 0
+
+                new_name = f"tab_{seq:03d}_{url_slug}.webm"
+                new_path = os.path.join(base_dir, new_name)
                 try:
-                    video_path = await page.video.path()
-                    logger.info(f"[DEBUG] Page {i} video path: {video_path}")
-                    video_paths.append(video_path)
-                    # Stop recording after saving
-                    await page.video.delete()
-                    logger.info(f"[DEBUG] Stopped recording for page {i}")
-                except Exception as e:
-                    logger.error(f"[DEBUG] Error handling video for page {i}: {e}")
-            else:
-                logger.info(f"[DEBUG] Page {i} has NO video attribute")
-        
+                    if os.path.exists(original_path):
+                        if original_path != new_path:
+                            os.rename(original_path, new_path)
+                        video_paths.append(new_path)
+                    else:
+                        # If artifact was already in place or under a hashed subfolder, try to pick latest
+                        if os.path.exists(new_path):
+                            video_paths.append(new_path)
+                        else:
+                            try:
+                                candidates = [
+                                    os.path.join(base_dir, f) for f in os.listdir(base_dir) if f.endswith('.webm')
+                                ]
+                                if candidates:
+                                    latest = max(candidates, key=lambda p: os.path.getmtime(p))
+                                    if latest != new_path:
+                                        os.rename(latest, new_path)
+                                    video_paths.append(new_path)
+                            except Exception:
+                                pass
+                except Exception:
+                    # Best-effort; keep original if rename fails
+                    video_paths.append(original_path)
+
+        # Return in sorted (sequence) order
+        def seq_from_path(p: str) -> int:
+            m = re.search(r"tab_(\d{3})_", os.path.basename(p))
+            return int(m.group(1)) if m else 0
+
+        video_paths.sort(key=seq_from_path)
         return video_paths
 
     async def close(self):
-        """Close the context and save the video recording(s)"""
+        """Close all contexts and save video recordings in order."""
         logger.info("\n[DEBUG] ===== CLOSE METHOD CALLED =====")
-        if self._playwright_context:
-            # Save any remaining videos
-            video_paths = await self.save_videos()
-            
-            # Close the context
-            await self._playwright_context.close()
-            self._playwright_context = None
-            
-            return video_paths
-        return None
+        video_paths = await self.save_videos()
+        
+        # Close all contexts
+        contexts = list(set(self._playwright_contexts))
+        if self._playwright_context and self._playwright_context not in contexts:
+            contexts.append(self._playwright_context)
+
+        for ctx in contexts:
+            try:
+                await ctx.close()
+            except Exception:
+                pass
+
+        self._playwright_context = None
+        self._playwright_contexts = []
+
+        # Merge all tab videos into a single file if ffmpeg is available
+        try:
+            self._merged_video_path = merge_videos_in_order(
+                base_videos_dir=self._base_video_dir,
+                output_path="/app/src/outputdata/merged.webm",
+            )
+            if self._merged_video_path:
+                logger.info(f"[DEBUG] Merged video created at: {self._merged_video_path}")
+            else:
+                logger.warning("[DEBUG] Merged video was not created (no inputs or ffmpeg issue)")
+        except Exception as e:
+            logger.warning(f"[DEBUG] Failed to merge videos: {e}")
+
+        return video_paths
+
+    def _url_to_slug(self, url: str) -> str:
+        try:
+            parsed = urlparse(url)
+            if not parsed.netloc:
+                return "unknown"
+            domain = parsed.netloc.split(":")[0]
+            # Take last two parts of domain if present, else full
+            parts = domain.split(".")
+            domain_part = "-".join(parts[-2:]) if len(parts) >= 2 else domain
+            path_segment = parsed.path.strip("/").split("/")[-1] or "home"
+            slug = f"{domain_part}-{path_segment}"[:50]
+            return re.sub(r"[^\w\-]", "", slug)
+        except Exception:
+            return "unknown"
+
+
+
diff --git a/src/outputdata/agent_execution.json b/src/outputdata/agent_execution.json
index 866bf5bd..e69de29b 100644
--- a/src/outputdata/agent_execution.json
+++ b/src/outputdata/agent_execution.json
@@ -1,10 +0,0 @@
-[
-  {
-    "timestamp": "2025-07-28 15:56:40",
-    "agents_name": "Webpage Checker",
-    "number_of_tries": 1,
-    "time_taken": 1,
-    "user_input": "https://zanjabeelbookstore.com/collections/novels-by-nemrah-ahmed",
-    "output": "200 - OK"
-  }
-]
\ No newline at end of file
diff --git a/src/outputdata/output_data.py b/src/outputdata/output_data.py
index 40bc5630..8182be31 100644
--- a/src/outputdata/output_data.py
+++ b/src/outputdata/output_data.py
@@ -2,6 +2,7 @@
 import os
 import time
 from pathlib import Path
+import subprocess
 
 def write_data_to_file(
     agents_name: str,
@@ -78,4 +79,55 @@ def write_data_to_file(
         print(f"🔍 Debug info - agents_name: {agents_name}")
         print(f"🔍 Debug info - output type: {type(output) if output else 'None'}")
         if output:
-            print(f"🔍 Debug info - output attributes: {dir(output)}")
\ No newline at end of file
+            print(f"🔍 Debug info - output attributes: {dir(output)}")
+
+
+def merge_videos_in_order(base_videos_dir: str = "/app/src/outputdata/videos", output_path: str = "/app/src/outputdata/merged.webm") -> str:
+    """
+    Merge all per-tab videos in order: tab_001_*, tab_002_*, ... into a single webm/mp4 file.
+    Requires ffmpeg to be available in the environment.
+    Returns the output file path.
+    """
+    try:
+        base = Path(base_videos_dir)
+        if not base.exists():
+            raise FileNotFoundError(f"Videos directory not found: {base_videos_dir}")
+
+        # Collect folders named tab_XXX_*
+        folders = sorted([p for p in base.iterdir() if p.is_dir() and p.name.startswith("tab_")])
+
+        # Collect the video file inside each folder (expect tab_XXX_*.webm)
+        inputs = []
+        for folder in folders:
+            # Pick the first .webm file if multiple
+            candidates = sorted(folder.glob("*.webm"))
+            if candidates:
+                inputs.append(str(candidates[0]))
+
+        if not inputs:
+            raise FileNotFoundError("No input videos found to merge")
+
+        # Build ffmpeg concat input file
+        concat_file = base / "concat_list.txt"
+        with open(concat_file, "w", encoding="utf-8") as f:
+            for p in inputs:
+                f.write(f"file '{p}'\n")
+
+        # Run ffmpeg concat demuxer
+        out = Path(output_path)
+        out.parent.mkdir(parents=True, exist_ok=True)
+
+        cmd = [
+            "ffmpeg", "-y",
+            "-f", "concat",
+            "-safe", "0",
+            "-i", str(concat_file),
+            "-c", "copy",
+            str(out)
+        ]
+        subprocess.run(cmd, check=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
+
+        return str(out)
+    except Exception as e:
+        print(f"❌ Error merging videos: {e}")
+        return ""
\ No newline at end of file
diff --git a/src/webui/components/browser_use_agent_tab.py b/src/webui/components/browser_use_agent_tab.py
index 60d3dc0f..51aa1d24 100644
--- a/src/webui/components/browser_use_agent_tab.py
+++ b/src/webui/components/browser_use_agent_tab.py
@@ -4,9 +4,9 @@
 import logging
 import os
 import uuid
+from src.models import AIModel
 from typing import Any, AsyncGenerator, Dict, Optional
 import os, time
-from src.browser.browser_recorder import BrowserRecorder
 from browser_use.agent.views import (
     ActionResult,
     AgentHistory,
@@ -372,6 +372,7 @@ async def run_agent_task(query: str, url: str, message_callback: Optional[Callab
         os.environ["DISPLAY"] = ":99"
 
     if message_callback:
+        
         await message_callback(f"🖥️ Using display: {os.environ['DISPLAY']}")
 
     print(f"🖥️ Using display: {os.getenv('DISPLAY')}")
@@ -397,8 +398,7 @@ async def run_agent_task(query: str, url: str, message_callback: Optional[Callab
     )
 
     playwright_browser = await browser._setup_builtin_browser(playwright)
-    recorder = BrowserRecorder()
-    browser_context = await recorder.setup_recording(playwright_browser)
+    # Recording per tab/context is handled by CustomBrowserContext
 
     context_config = BrowserContextConfig(
         save_downloads_path=os.path.join(output_dir, "downloads"),
@@ -412,7 +412,10 @@ async def run_agent_task(query: str, url: str, message_callback: Optional[Callab
         await message_callback("🌐 Maximizing browser window...")
 
     try:
-        page = await browser_context.new_page()
+        # Use the primary session page instead of creating/closing a helper tab,
+        # so the first navigation can be migrated and recorded as tab_001
+        session = await browser_context.get_session()
+        page = session.context.pages[0] if session.context.pages else await session.context.new_page()
         await page.set_viewport_size({"width": 1920, "height": 1080})
         await page.evaluate("""
             if (window.screen && window.screen.availWidth && window.screen.availHeight) {
@@ -432,7 +435,7 @@ async def run_agent_task(query: str, url: str, message_callback: Optional[Callab
                 window.resizeTo(screen.availWidth, screen.availHeight);
             }
         """)
-        await page.close()
+        # Do not close the page; the agent will navigate this page first
     except Exception as e:
         print(f"⚠️ Could not maximize browser window: {e}")
 
@@ -444,9 +447,10 @@ async def run_agent_task(query: str, url: str, message_callback: Optional[Callab
 
     llm = await _initialize_llm(
         provider="openai",
-        model_name="gpt-4o",
+        model_name=AIModel.GPT_4O.value,
         temperature=0.6,
-        api_key=os.getenv("OPENAI_API_KEY")
+        api_key=os.getenv("OPENAI_API_KEY"),
+         message_callback=message_callback
     )
     
     # 4. Step handler with WebSocket message sending
@@ -459,8 +463,6 @@ async def handle_step(state: BrowserState, output: AgentOutput, step_num: int):
         memory = getattr(output.current_state, "memory", "")
         next_goal = getattr(output.current_state, "next_goal", "")
         actions = output.actions_taken if hasattr(output, "actions_taken") else []
-
-        # Send to frontend via WebSocket
         if message_callback:
             await message_callback("----------------------------")
             await message_callback(f"🤖 Step {step_num}: Running step...")
@@ -536,10 +538,7 @@ async def handle_step(state: BrowserState, output: AgentOutput, step_num: int):
     # if message_callback:
     #     await message_callback("📦 Processing final result...")
 
-    try:
-        await recorder.save_recording()
-    except Exception as e:
-        logger.warning(f"Could not save recording: {e}")
+    # Recordings are saved/closed by CustomBrowserContext.close()
 
     await browser_context.close()
     await browser.close()
@@ -571,10 +570,14 @@ async def _initialize_llm(
         provider: str,
         model_name: str,
         temperature: float,
-        api_key: Optional[str] = None
+        api_key: Optional[str] = None,
+        message_callback: Optional[Callable[[str], Awaitable[None]]] = None
 ) -> BaseChatModel:
     """Initialize LLM instance"""
     logger.info(f"Initializing LLM: {provider}/{model_name}")
+    if message_callback:
+        await message_callback(f"Initializing LLM: {provider}/{model_name}")  # Send to WebSocket
+
     return llm_provider.get_llm_model(
         provider=provider,
         model_name=model_name,

From c3a9f3fb82c2ead3e6cb765548cb0c8533935177 Mon Sep 17 00:00:00 2001
From: itsareebalatif <itsareebalatif@gmail.com>
Date: Fri, 15 Aug 2025 18:19:25 +0500
Subject: [PATCH 34/38] new changes

---
 src/browser/browser_recorder.py               | 126 +++----
 src/browser/custom_context.py                 | 331 ++++--------------
 src/webui/components/browser_use_agent_tab.py |   2 +-
 3 files changed, 128 insertions(+), 331 deletions(-)

diff --git a/src/browser/browser_recorder.py b/src/browser/browser_recorder.py
index 39705247..587b350c 100644
--- a/src/browser/browser_recorder.py
+++ b/src/browser/browser_recorder.py
@@ -17,78 +17,82 @@
 logger = logging.getLogger(__name__)
 
 class BrowserRecorder:
-    def __init__(self):
-        # Define video directory
-        # Paths for local development
-        # self.video_dir = os.path.join(os.getcwd(), "outputdata", "videos")
+    pass
+    # def __init__(self):
+    #     # Define video directory
+    #     # Paths for local development
+    #     # self.video_dir = os.path.join(os.getcwd(), "outputdata", "videos")
         
-        # Paths for Dockerized application
-        self.video_dir = os.path.join("/app", "src", "outputdata", "videos")
+    #     # Paths for Dockerized application
+    #     self.video_dir = os.path.join("/app", "src", "outputdata", "videos")
         
-        # Debug: Print video directory info
-        print(f"🎥 Video directory: {self.video_dir}")
-        print(f"🎥 Video directory exists: {os.path.exists(self.video_dir)}")
-        print(f"🎥 Video directory writable: {os.access(self.video_dir, os.W_OK) if os.path.exists(self.video_dir) else 'N/A'}")
+    #     # Debug: Print video directory info
+    #     print(f"🎥 Video directory: {self.video_dir}")
+    #     print(f"🎥 Video directory exists: {os.path.exists(self.video_dir)}")
+    #     print(f"🎥 Video directory writable: {os.access(self.video_dir, os.W_OK) if os.path.exists(self.video_dir) else 'N/A'}")
         
-        self.context = None
-        self.is_recording = False
-        self.recorded_videos = []
+    #     self.context = None
+    #     self.is_recording = False
+    #     self.recorded_videos = []
         
-        # Clean video directory before starting
-        self.clean_video_directory()
-
-    def clean_video_directory(self):
-        """Completely remove and recreate the video directory"""
-        try:
-            # Remove entire directory if it exists
-            if os.path.exists(self.video_dir):
-                shutil.rmtree(self.video_dir)
-                logger.info(f"🗑️ Deleted existing video directory: {self.video_dir}")
+    #     # Clean video directory before starting
+    #     self.clean_video_directory()
+
+    # def clean_video_directory(self):
+    #     """Completely remove and recreate the video directory"""
+    #     try:
+    #         # Remove entire directory if it exists
+    #         if os.path.exists(self.video_dir):
+    #             shutil.rmtree(self.video_dir)
+    #             logger.info(f"🗑️ Deleted existing video directory: {self.video_dir}")
             
-            # Create fresh directory
-            os.makedirs(self.video_dir, exist_ok=True)
-            logger.info(f"📁 Created clean video directory: {self.video_dir}")
-        except Exception as e:
-            logger.error(f"❌ Failed to clean video directory: {e}")
-
-    async def setup_recording(self, browser: Browser) -> BrowserContext:
-        """Set up video recording using Playwright Browser instance"""
-        try:
-            # Create context with video recording
-            self.context = await browser.new_context(
-                record_video_dir=self.video_dir,
-                record_video_size={"width": 1280, "height": 720}
-            )
+    #         # Create fresh directory
+    #         os.makedirs(self.video_dir, exist_ok=True)
+    #         logger.info(f"📁 Created clean video directory: {self.video_dir}")
+    #     except Exception as e:
+    #         logger.error(f"❌ Failed to clean video directory: {e}")
+
+    # async def setup_recording(self, browser: Browser) -> BrowserContext:
+    #     """Set up video recording using Playwright Browser instance"""
+    #     print(f"🎥 Setting up video recording in: the browser_recorder.py")
+    #     try:
+    #         # Create context with video recording
+    #         self.context = await browser.new_context(
+    #             record_video_dir=self.video_dir,
+    #             record_video_size={"width": 1280, "height": 720}
+    #         )
             
-            self.is_recording = True
-            logger.info(f"🎥 Video recording enabled in: {self.video_dir}")
-            return self.context
-        except Exception as e:
-            logger.error(f"❌ Failed to setup video recording: {str(e)}")
-            self.is_recording = False
-            return await browser.new_context()
+    #         self.is_recording = True
+    #         logger.info(f"🎥 Video recording enabled in: {self.video_dir}")
+    #         return self.context
+    #     except Exception as e:
+    #         logger.error(f"❌ Failed to setup video recording: {str(e)}")
+    #         self.is_recording = False
+    #         return await browser.new_context()
             
-    def is_video_recording(self) -> bool:
-        return self.is_recording
+    # def is_video_recording(self) -> bool:
+    #     print(f"🎥 Checking if video recording is active and calling in browser_recorder.py")
+    #     return self.is_recording
         
-    async def save_recording(self):
-        """Save recordings and get video paths"""
-        if self.context and self.is_recording:
-            # Close context to finalize recordings
-            await self.context.close()
+    # async def save_recording(self):
+    #     print("""Save recordings and get video paths in browser_recorder.py""")
+    #     if self.context and self.is_recording:
+    #         # Close context to finalize recordings
+    #         await self.context.close()
             
-            # Find all new video files
-            video_files = glob.glob(os.path.join(self.video_dir, "**", "*.webm"), recursive=True)
+    #         # Find all new video files
+    #         video_files = glob.glob(os.path.join(self.video_dir, "**", "*.webm"), recursive=True)
             
-            if video_files:
-                self.recorded_videos = [os.path.basename(f) for f in video_files]
-                logger.info(f"💾 Saved {len(video_files)} videos")
-            else:
-                logger.warning("⚠️ No video files found after recording")
+    #         if video_files:
+    #             self.recorded_videos = [os.path.basename(f) for f in video_files]
+    #             logger.info(f"💾 Saved {len(video_files)} videos")
+    #         else:
+    #             logger.warning("⚠️ No video files found after recording")
     
-    def get_recorded_videos(self) -> list:
-        """Get list of recorded video filenames"""
-        return self.recorded_videos
+    # def get_recorded_videos(self) -> list:
+    #     """Get list of recorded video filenames"""
+    #     print(f"🎥 Getting recorded videos in browser_recorder.py")
+    #     return self.recorded_videos
     
 
     
diff --git a/src/browser/custom_context.py b/src/browser/custom_context.py
index 0a5c0fe2..8fbefa45 100644
--- a/src/browser/custom_context.py
+++ b/src/browser/custom_context.py
@@ -17,221 +17,75 @@
 logger = logging.getLogger(__name__)
 
 class CustomBrowserContext(BrowserContext):
-    def __init__(
-        self,
-        browser: 'Browser',
-        config: BrowserContextConfig | None = None,
-        state: Optional[BrowserContextState] = None,
-    ):
-        super(CustomBrowserContext, self).__init__(browser=browser, config=config, state=state)
+    def __init__(self, browser: 'Browser',
+                 config: BrowserContextConfig | None = None,
+                 state: Optional[BrowserContextState] = None):
+        super().__init__(browser=browser, config=config, state=state)
         self._playwright_context: Optional[PlaywrightBrowserContext] = None
         self._playwright_contexts: List[PlaywrightBrowserContext] = []
         self._handled_pages: Set = set()
         self._base_video_dir = os.path.join("/app", "src", "outputdata", "videos")
 
-        # Track tab ordering and metadata
         self.tab_counter = 0
         self.tab_records: dict = {}
         self.context_records: dict = {}
         self._claimed_videos: Set[str] = set()
         self._closed_tabs: List[dict] = []
-        self._base_dir_cleaned: bool = False
+        self._base_dir_cleaned = False
         self._merged_video_path: Optional[str] = None
 
-    async def _setup_context(self) -> PlaywrightBrowserContext:
-        """Deprecated: Do not use. Recording is managed in _create_context."""
-        logger.info("\n[DEBUG] Creating new browser context...")
-        
-        # Ensure base directory exists
-        os.makedirs(self._base_video_dir, exist_ok=True)
-        logger.info(f"[DEBUG] Base video directory: {self._base_video_dir}")
-        
-        # Create base context WITHOUT recording; we will migrate all real tabs to per-tab contexts
-        context = await self.browser.playwright_browser.new_context()
-        logger.info("[DEBUG] Base context created without recording; tabs will be migrated")
-        self._playwright_contexts.append(context)
-        
-        # Add page event handler that migrates tabs to new contexts
-        async def handle_new_page(page):
-            if page in self._handled_pages:
-                return
-
-            # Always allocate a new sequence for any real tab
-            seq = None
-
-            # Determine URL
-            url_to_open = page.url
-            if not url_to_open or url_to_open == "about:blank":
-                try:
-                    await page.wait_for_event("framenavigated", timeout=8000)
-                    url_to_open = page.url
-                except Exception:
-                    url_to_open = page.url or "about:blank"
-
-            # Skip blank helper tabs
-            if url_to_open == "about:blank":
-                logger.info("[DEBUG] about:blank detected, migrating immediately to start recording")
-                # Allocate sequence and migrate now so the first navigation is recorded
-                self.tab_counter += 1
-                seq_local = self.tab_counter
-                unique_dir_local = os.path.join(self._base_video_dir, f"tab_{seq_local:03d}_initial")
-                try:
-                    os.makedirs(unique_dir_local, exist_ok=True)
-                except Exception:
-                    unique_dir_local = self._base_video_dir
-                try:
-                    new_ctx_local = await self.browser.playwright_browser.new_context(
-                        record_video_dir=unique_dir_local,
-                        record_video_size={"width": 1280, "height": 720}
-                    )
-                    self._playwright_contexts.append(new_ctx_local)
-                    self.context_records[new_ctx_local] = {"seq": seq_local, "url": "about:blank", "dir": unique_dir_local}
-
-                    new_page_local = await new_ctx_local.new_page()  # starts at about:blank
-                    self._handled_pages.add(new_page_local)
-                    self.tab_records[new_page_local] = {"seq": seq_local, "url": "about:blank", "dir": unique_dir_local}
-
-                    def on_nav_update(ev):
-                        self.tab_records[new_page_local]["url"] = ev.url
-                        self.context_records[new_ctx_local]["url"] = ev.url
-                    new_page_local.on("framenavigated", on_nav_update)
-
-                    new_ctx_local.on("page", handle_new_page)
-                    try:
-                        await page.close()
-                    except Exception:
-                        pass
-                    logger.info(f"[TAB {seq_local:03d}] Migrated initial about:blank to {unique_dir_local}")
-                except Exception as e:
-                    logger.error(f"[DEBUG] Failed immediate migration: {e}")
-                return
-
-            # Allocate a new sequence number now
-            self.tab_counter += 1
-            seq = self.tab_counter
-            
-            # Build unique directory for this tab
-            url_slug = self._url_to_slug(url_to_open)
-            unique_dir = os.path.join(self._base_video_dir, f"tab_{seq:03d}_{url_slug}")
-            try:
-                os.makedirs(unique_dir, exist_ok=True)
-            except Exception as e:
-                logger.warning(f"[TAB {seq:03d}] Could not create dir {unique_dir}: {e}")
-                unique_dir = self._base_video_dir
-
-            # Create new context for this tab
-            try:
-                new_ctx = await self.browser.playwright_browser.new_context(
-                    record_video_dir=unique_dir,
-                    record_video_size={"width": 1280, "height": 720}
-                )
-                self._playwright_contexts.append(new_ctx)
-                # Track context metadata for reliable save/rename
-                self.context_records[new_ctx] = {"seq": seq, "url": url_to_open, "dir": unique_dir}
-
-                new_page = await new_ctx.new_page()
-                self._handled_pages.add(new_page)
-                if url_to_open and url_to_open != "about:blank":
-                    await new_page.goto(url_to_open)
-
-                # Track metadata
-                self.tab_records[new_page] = {"seq": seq, "url": url_to_open, "dir": unique_dir}
-
-                def on_nav(event):
-                    self.tab_records[new_page]["url"] = event.url
-                new_page.on("framenavigated", on_nav)
-
-                # Also observe future tabs from this context
-                new_ctx.on("page", handle_new_page)
-
-                # Close original stray page
-                try:
-                    await page.close()
-                except Exception:
-                    pass
-
-                logger.info(f"[TAB {seq:03d}] Migrated to new context -> {unique_dir}")
-            except Exception as e:
-                logger.error(f"[TAB {seq:03d}] Migration failed: {e}")
-        
-        context.on("page", handle_new_page)
-        logger.info("[DEBUG] Page event handler with per-tab migration added")
-
-        # Process any existing pages (e.g., initial page created before handler attached)
-        try:
-            for existing_page in list(context.pages):
-                try:
-                    await handle_new_page(existing_page)
-                except Exception as e:
-                    logger.warning(f"[DEBUG] Failed to process existing page: {e}")
-        except Exception:
-            pass
-        
-        return context
-
     async def setup(self):
-        # No-op: recording/migration is handled in _create_context (the session context)
-        logger.info("[DEBUG] setup() no-op; per-tab recording handled by _create_context")
+        logger.info("[DEBUG] setup() no-op; handled in _create_context")
         return None
 
-    async def new_page(self):
-        """Compatibility helper used by UI code for maximizing window.
-        Delegates to the underlying Playwright context of the base library session."""
-        session = await self.get_session()
-        return await session.context.new_page()
+    def _get_all_contexts(self) -> List[PlaywrightBrowserContext]:
+        contexts = list(self._playwright_contexts)
+        if self._playwright_context and self._playwright_context not in contexts:
+            contexts.append(self._playwright_context)
+        return contexts
 
     async def _create_context(self, browser: PlaywrightBrowser) -> BrowserContext:
-        """Create a new browser context with per-tab migration to unique video dirs"""
         logger.info("\n[DEBUG] Creating new browser context...")
-        # Clean base directory once per run so no previous videos remain
         if not self._base_dir_cleaned:
-            try:
-                shutil.rmtree(self._base_video_dir, ignore_errors=True)
-            except Exception:
-                pass
-            os.makedirs(self._base_video_dir, exist_ok=True)
+            shutil.rmtree(self._base_video_dir, ignore_errors=True)
             self._base_dir_cleaned = True
-            logger.info(f"[DEBUG] Cleaned base video directory: {self._base_video_dir}")
-        else:
-            os.makedirs(self._base_video_dir, exist_ok=True)
+        os.makedirs(self._base_video_dir, exist_ok=True)
+
         context = await browser.new_context(
             record_video_dir=self._base_video_dir,
             record_video_size={"width": 1280, "height": 720}
         )
-        logger.info("[DEBUG] Context created with recording; per-page folders will be created on save")
+        logger.info("[DEBUG] Context created with recording")
         self._playwright_contexts.append(context)
 
         async def handle_new_page(page):
-            # Assign a new sequence for this page in the single recording context
             self.tab_counter += 1
             seq = self.tab_counter
             url_now = page.url or "about:blank"
             url_slug = self._url_to_slug(url_now)
-            self.tab_records[page] = {"seq": seq, "url": url_now, "dir": os.path.join(self._base_video_dir, f"tab_{seq:03d}_{url_slug}")}
+            self.tab_records[page] = {
+                "seq": seq, "url": url_now,
+                "dir": os.path.join(self._base_video_dir, f"tab_{seq:03d}_{url_slug}")
+            }
 
-            async def on_nav(_):
-                self.tab_records[page]["url"] = page.url
-            page.on("framenavigated", on_nav)
+            page.on("framenavigated", lambda _: self.tab_records[page].update(url=page.url))
 
             async def on_close():
-                info = self.tab_records.get(page) or {}
+                info = self.tab_records.get(page, {})
                 seq_c = info.get("seq", seq)
                 url_c = info.get("url", url_now)
                 url_slug_c = self._url_to_slug(url_c)
                 dir_c = info.get("dir") or os.path.join(self._base_video_dir, f"tab_{seq_c:03d}_{url_slug_c}")
-                try:
-                    os.makedirs(dir_c, exist_ok=True)
-                except Exception:
-                    dir_c = self._base_video_dir
-                # Try direct artifact path
+                os.makedirs(dir_c, exist_ok=True)
+
                 try:
                     original_path = await page.video.path() if hasattr(page, "video") else None
                 except Exception:
                     original_path = None
+
                 moved = False
                 if original_path and os.path.exists(original_path) and original_path not in self._claimed_videos:
-                    new_name = f"tab_{seq_c:03d}_{url_slug_c}.webm"
-                    new_path = os.path.join(dir_c, new_name)
+                    new_path = os.path.join(dir_c, f"tab_{seq_c:03d}_{url_slug_c}.webm")
                     try:
                         if original_path != new_path:
                             os.rename(original_path, new_path)
@@ -239,66 +93,50 @@ async def on_close():
                         moved = True
                     except Exception:
                         pass
+
                 if not moved:
-                    # Defer to final save; remember this closed tab metadata
                     self._closed_tabs.append({"seq": seq_c, "url": url_c, "dir": dir_c})
+
             page.on("close", on_close)
-            logger.info(f"[TAB {seq:03d}] Tracking page in single recording context: {url_now}")
+            logger.info(f"[TAB {seq:03d}] Tracking page: {url_now}")
 
         context.on("page", handle_new_page)
-        logger.info("[DEBUG] Page event handler with per-tab migration added")
 
-        # Process any existing pages immediately
-        try:
-            for existing_page in list(context.pages):
-                try:
-                    await handle_new_page(existing_page)
-                except Exception as e:
-                    logger.warning(f"[DEBUG] Failed to process existing page: {e}")
-        except Exception:
-            pass
+        for existing_page in list(context.pages):
+            try:
+                await handle_new_page(existing_page)
+            except Exception as e:
+                logger.warning(f"[DEBUG] Failed to process existing page: {e}")
 
         return context
 
     async def stop_video_recording(self):
-        """Stop video recording for all pages across all contexts without closing contexts."""
-        contexts = list(self._playwright_contexts)
-        if self._playwright_context and self._playwright_context not in contexts:
-            contexts.append(self._playwright_context)
-        for ctx in contexts:
-            pages = list(ctx.pages)
-            logger.info(f"\n[DEBUG] Stopping video recording for {len(pages)} pages")
-            for i, page in enumerate(pages):
+        logger.info('Stop video recording for all contexts')
+        for ctx in self._get_all_contexts():
+            for i, page in enumerate(list(ctx.pages)):
                 if hasattr(page, 'video'):
                     try:
                         await page.close()
-                        # After closing, artifact is finalized; do not delete here
                         logger.info(f"[DEBUG] Closed page {i} to finalize video")
                     except Exception as e:
                         logger.error(f"[DEBUG] Error closing page {i}: {e}")
 
     async def save_videos(self) -> List[str]:
-        """Save videos for all contexts, rename with sequence ordering, and return paths."""
         video_paths: List[str] = []
-        contexts = list(self._playwright_contexts)
-        if self._playwright_context and self._playwright_context not in contexts:
-            contexts.append(self._playwright_context)
 
-        for ctx in contexts:
+        for ctx in self._get_all_contexts():
             try:
                 pages = list(ctx.pages)
             except Exception:
                 continue
 
             for page in pages:
-                # Prefer page-level tracking; fall back to context-level tracking
-                info = self.tab_records.get(page) or {}
-                seq = info.get("seq")
+                info = self.tab_records.get(page, {})
+                seq = info.get("seq", 0)
                 url = info.get("url", "unknown")
                 dir_hint = info.get("dir")
                 url_slug = self._url_to_slug(url)
 
-                # Ensure page is closed to finalize recording
                 try:
                     await page.close()
                 except Exception:
@@ -310,107 +148,66 @@ async def save_videos(self) -> List[str]:
                     original_path = None
 
                 if not original_path:
-                    # Attempt to find video placed directly in dir_hint and rename it deterministically
                     if dir_hint and os.path.isdir(dir_hint):
                         try:
-                            candidates = [
-                                os.path.join(dir_hint, f) for f in os.listdir(dir_hint) if f.endswith('.webm')
-                            ]
+                            candidates = [os.path.join(dir_hint, f) for f in os.listdir(dir_hint) if f.endswith('.webm')]
                             if candidates:
-                                latest = max(candidates, key=lambda p: os.path.getmtime(p))
-                                base_dir = dir_hint
-                                if seq is None:
-                                    seq = 0
-                                new_name = f"tab_{seq:03d}_{url_slug}.webm"
-                                new_path = os.path.join(base_dir, new_name)
-                                try:
-                                    if os.path.exists(latest) and latest != new_path:
-                                        os.rename(latest, new_path)
-                                    video_paths.append(new_path if os.path.exists(new_path) else latest)
-                                except Exception:
-                                    video_paths.append(latest)
+                                latest = max(candidates, key=os.path.getmtime)
+                                new_path = os.path.join(dir_hint, f"tab_{seq:03d}_{url_slug}.webm")
+                                if latest != new_path:
+                                    os.rename(latest, new_path)
+                                video_paths.append(new_path if os.path.exists(new_path) else latest)
                                 continue
                         except Exception:
                             pass
                     continue
 
-                # Place final file in the configured per-tab directory
                 base_dir = dir_hint if (dir_hint and os.path.exists(dir_hint)) else self._base_video_dir
-                if dir_hint and not os.path.exists(dir_hint):
-                    try:
-                        os.makedirs(dir_hint, exist_ok=True)
-                        base_dir = dir_hint
-                    except Exception:
-                        base_dir = self._base_video_dir
-
-                if seq is None:
-                    # Fallback if sequence wasn't tracked
-                    seq = 0
+                os.makedirs(base_dir, exist_ok=True)
 
-                new_name = f"tab_{seq:03d}_{url_slug}.webm"
-                new_path = os.path.join(base_dir, new_name)
+                new_path = os.path.join(base_dir, f"tab_{seq:03d}_{url_slug}.webm")
                 try:
                     if os.path.exists(original_path):
                         if original_path != new_path:
                             os.rename(original_path, new_path)
                         video_paths.append(new_path)
+                    elif os.path.exists(new_path):
+                        video_paths.append(new_path)
                     else:
-                        # If artifact was already in place or under a hashed subfolder, try to pick latest
-                        if os.path.exists(new_path):
+                        candidates = [os.path.join(base_dir, f) for f in os.listdir(base_dir) if f.endswith('.webm')]
+                        if candidates:
+                            latest = max(candidates, key=os.path.getmtime)
+                            if latest != new_path:
+                                os.rename(latest, new_path)
                             video_paths.append(new_path)
-                        else:
-                            try:
-                                candidates = [
-                                    os.path.join(base_dir, f) for f in os.listdir(base_dir) if f.endswith('.webm')
-                                ]
-                                if candidates:
-                                    latest = max(candidates, key=lambda p: os.path.getmtime(p))
-                                    if latest != new_path:
-                                        os.rename(latest, new_path)
-                                    video_paths.append(new_path)
-                            except Exception:
-                                pass
                 except Exception:
-                    # Best-effort; keep original if rename fails
                     video_paths.append(original_path)
 
-        # Return in sorted (sequence) order
-        def seq_from_path(p: str) -> int:
-            m = re.search(r"tab_(\d{3})_", os.path.basename(p))
-            return int(m.group(1)) if m else 0
-
-        video_paths.sort(key=seq_from_path)
+        video_paths.sort(key=lambda p: int(re.search(r"tab_(\d{3})_", os.path.basename(p)).group(1)) if re.search(r"tab_(\d{3})_", os.path.basename(p)) else 0)
         return video_paths
 
     async def close(self):
-        """Close all contexts and save video recordings in order."""
         logger.info("\n[DEBUG] ===== CLOSE METHOD CALLED =====")
         video_paths = await self.save_videos()
-        
-        # Close all contexts
-        contexts = list(set(self._playwright_contexts))
-        if self._playwright_context and self._playwright_context not in contexts:
-            contexts.append(self._playwright_context)
 
-        for ctx in contexts:
+        for ctx in set(self._get_all_contexts()):
             try:
                 await ctx.close()
             except Exception:
                 pass
 
         self._playwright_context = None
-        self._playwright_contexts = []
+        self._playwright_contexts.clear()
 
-        # Merge all tab videos into a single file if ffmpeg is available
         try:
             self._merged_video_path = merge_videos_in_order(
                 base_videos_dir=self._base_video_dir,
-                output_path="/app/src/outputdata/merged.webm",
+                output_path="/app/src/outputdata/merged.webm"
             )
             if self._merged_video_path:
-                logger.info(f"[DEBUG] Merged video created at: {self._merged_video_path}")
+                logger.info(f"[DEBUG] Merged video created: {self._merged_video_path}")
             else:
-                logger.warning("[DEBUG] Merged video was not created (no inputs or ffmpeg issue)")
+                logger.warning("[DEBUG] Merged video not created")
         except Exception as e:
             logger.warning(f"[DEBUG] Failed to merge videos: {e}")
 
@@ -421,15 +218,11 @@ def _url_to_slug(self, url: str) -> str:
             parsed = urlparse(url)
             if not parsed.netloc:
                 return "unknown"
-            domain = parsed.netloc.split(":")[0]
-            # Take last two parts of domain if present, else full
-            parts = domain.split(".")
-            domain_part = "-".join(parts[-2:]) if len(parts) >= 2 else domain
+            parts = parsed.netloc.split(":")[0].split(".")
+            domain_part = "-".join(parts[-2:]) if len(parts) >= 2 else parsed.netloc
             path_segment = parsed.path.strip("/").split("/")[-1] or "home"
             slug = f"{domain_part}-{path_segment}"[:50]
             return re.sub(r"[^\w\-]", "", slug)
         except Exception:
             return "unknown"
 
-
-
diff --git a/src/webui/components/browser_use_agent_tab.py b/src/webui/components/browser_use_agent_tab.py
index 51aa1d24..cd2aaf4b 100644
--- a/src/webui/components/browser_use_agent_tab.py
+++ b/src/webui/components/browser_use_agent_tab.py
@@ -4,7 +4,7 @@
 import logging
 import os
 import uuid
-from src.models import AIModel
+from models.models import AIModel
 from typing import Any, AsyncGenerator, Dict, Optional
 import os, time
 from browser_use.agent.views import (

From 7c7998b1d9de0c6ccaf0ac69a54009e9c6d68e6b Mon Sep 17 00:00:00 2001
From: Mohsin Ali Irfan <mohsin.ali@codeupscale.com>
Date: Fri, 15 Aug 2025 20:36:09 +0500
Subject: [PATCH 35/38] Debugged Docker

---
 Dockerfile                     | 6 +++---
 src/API/Ai_Testing/services.py | 2 +-
 2 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 9da799ce..64dda0ae 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -12,7 +12,7 @@ RUN apt-get update && apt-get install -y \
     curl \
     unzip \
     xvfb \
-    libgconf-2-4 \
+   # libgconf-2-4 \
     libxss1 \
     libnss3 \
     libnspr4 \
@@ -96,7 +96,7 @@ RUN mkdir -p $PLAYWRIGHT_BROWSERS_PATH
 # RUN playwright install chrome --with-deps
 
 # Alternative: Install Chromium if Google Chrome is problematic in certain environments
-RUN playwright install chromium --with-deps
+RUN playwright install chromium 
 
 
 # Copy the application code
@@ -109,4 +109,4 @@ COPY supervisord.conf /etc/supervisor/conf.d/supervisord.conf
 EXPOSE 7788 6080 5901 9222
 
 CMD ["/usr/bin/supervisord", "-c", "/etc/supervisor/conf.d/supervisord.conf"]
-#CMD ["/bin/bash"]
\ No newline at end of file
+#CMD ["/bin/bash"]
diff --git a/src/API/Ai_Testing/services.py b/src/API/Ai_Testing/services.py
index 4251e3df..aa163e3c 100644
--- a/src/API/Ai_Testing/services.py
+++ b/src/API/Ai_Testing/services.py
@@ -64,7 +64,7 @@ async def message_callback(message: str):
             if manager:
                 await manager.send_message(message)
 
-        result =await run_agent_task(query,url, message_callback=message_callback)
+        result = await run_agent_task(query,url, message_callback=message_callback)
         print(result)  
         # Simulate running the agent task
        # db["agent_tasks"].update_one({"_id": i_id.inserted_id}, {"$set": {"result": result , "updated_at": datetime.now(timezone.utc)}})

From f16937fd1c88eec37a38824fad9ff8f192ef52f0 Mon Sep 17 00:00:00 2001
From: Mohsin Ali Irfan <mohsin.ali@codeupscale.com>
Date: Mon, 18 Aug 2025 15:11:30 +0500
Subject: [PATCH 36/38] env issues not mounting within the container

---
 docker-compose.yml            |   9 +
 src/API/Users/current_user.py |   5 +-
 src/API/Users/routes.py       |   4 +-
 src/API/Users/services.py     |   5 +-
 src/API/core/security.py      | 315 +++++++++++++++++-----------------
 src/API/db/db_connection.py   |   5 +-
 src/API/utils/env_loader.py   |  29 ++++
 7 files changed, 211 insertions(+), 161 deletions(-)
 create mode 100644 src/API/utils/env_loader.py

diff --git a/docker-compose.yml b/docker-compose.yml
index 5656b0c7..153d6d37 100644
--- a/docker-compose.yml
+++ b/docker-compose.yml
@@ -43,6 +43,13 @@ services:
       - ANONYMIZED_TELEMETRY=${ANONYMIZED_TELEMETRY:-false}
       - BROWSER_USE_LOGGING_LEVEL=${BROWSER_USE_LOGGING_LEVEL:-info}
 
+      # # Email Settings (read from .env if present)
+      # - EMAIL_USERNAME=${EMAIL_USERNAME:-}
+      # - EMAIL_PASSWORD=${EMAIL_PASSWORD:-}
+      # - EMAIL_FROM=${EMAIL_FROM:-noreply@example.com}
+      # - SMTP_PORT=${SMTP_PORT:-587}
+      # - SMTP_SERVER=${SMTP_SERVER:-smtp.gmail.com}
+
       # Browser Settings
       - BROWSER_PATH=
       - BROWSER_USER_DATA=
@@ -75,6 +82,8 @@ services:
       # - ./my_chrome_data:/app/data/chrome_data # Optional: persist browser data
       # Mount output directory for saving screenshots, videos, and agent data
       - ./src/outputdata:/app/src/outputdata
+      # Mount the single root .env so load_dotenv can read it inside the container
+      - ./.env:/app/.env:ro
     restart: unless-stopped
     shm_size: '2gb'
     cap_add:
diff --git a/src/API/Users/current_user.py b/src/API/Users/current_user.py
index 895f3586..2863daf3 100644
--- a/src/API/Users/current_user.py
+++ b/src/API/Users/current_user.py
@@ -3,7 +3,10 @@
 import os
 from fastapi import  Depends, HTTPException
 from jose import jwt, JWTError
-load_dotenv()
+from ..utils.env_loader import load_env_from_root
+
+# Load environment variables from the root .env file
+load_env_from_root()
 SECRET_KEY = os.getenv("SECRET_KEY")
 ALGORITHM = os.getenv("ALGORITHM", "HS256")
 security = HTTPBearer()
diff --git a/src/API/Users/routes.py b/src/API/Users/routes.py
index c38a3f6f..c7abe1a8 100644
--- a/src/API/Users/routes.py
+++ b/src/API/Users/routes.py
@@ -25,8 +25,10 @@
 from jose import jwt, JWTError
 import os
 from dotenv import load_dotenv
+from ..utils.env_loader import load_env_from_root
 
-load_dotenv()
+# Load environment variables from the root .env file
+load_env_from_root()
 SECRET_KEY = os.getenv("SECRET_KEY")
 ALGORITHM = os.getenv("ALGORITHM", "HS256")
 
diff --git a/src/API/Users/services.py b/src/API/Users/services.py
index de851fb5..21026475 100644
--- a/src/API/Users/services.py
+++ b/src/API/Users/services.py
@@ -10,9 +10,10 @@
 from dotenv import load_dotenv
 from ..db.db_connection import get_db, close_db
 from ..core.security import validate_password_strength, verify_reset_token, send_password_reset_otp, verify_password_reset_otp
+from ..utils.env_loader import load_env_from_root
 
-# Load environment variables from .env file
-load_dotenv()
+# Load environment variables from the root .env file
+load_env_from_root()
 
 # Configuration constants loaded from environment variables
 SECRET_KEY = os.getenv("SECRET_KEY")
diff --git a/src/API/core/security.py b/src/API/core/security.py
index a121f1ec..650ac6cc 100644
--- a/src/API/core/security.py
+++ b/src/API/core/security.py
@@ -1,155 +1,160 @@
-
-from typing import Optional
-from fastapi import HTTPException
-from jose import jwt, JWTError
-from random import randint
-import logging
-from datetime import datetime, timezone
-from ..db.db_connection import get_db, close_db
-from ..Users.models import UserModel
-import re, os
-from fastapi import HTTPException
-from dotenv import load_dotenv
-
-from fastapi_mail import FastMail, MessageSchema, ConnectionConfig, MessageType
-
-
-from dateutil import parser
-load_dotenv()
-SECRET_KEY = os.getenv("SECRET_KEY")
-ALGORITHM = os.getenv("ALGORITHM", "HS256")
-RESET_TOKEN_EXPIRE_MINUTES = int(os.getenv("RESET_TOKEN_EXPIRE_MINUTES", "300"))
-EMAIL_USERNAME = os.getenv("EMAIL_USERNAME")
-EMAIL_PASSWORD = os.getenv("EMAIL_PASSWORD")
-EMAIL_FROM = os.getenv("EMAIL_FROM", "noreply@example.com")
-EMAIL_PORT = int(os.getenv("SMTP_PORT", "587"))
-EMAIL_SERVER = os.getenv("SMTP_SERVER", "smtp.gmail.com")
-
-conf = ConnectionConfig(
-        MAIL_USERNAME=EMAIL_USERNAME,
-        MAIL_PASSWORD=EMAIL_PASSWORD,
-        MAIL_FROM=EMAIL_FROM,
-        MAIL_PORT=EMAIL_PORT,
-        MAIL_SERVER=EMAIL_SERVER,
-        USE_CREDENTIALS=True,
-        MAIL_STARTTLS=True,
-        MAIL_SSL_TLS=False,
-    )
-# Logger setup
-logger = logging.getLogger("security")
-logging.basicConfig(level=logging.INFO)
-
-
-def verify_reset_token(token: str) -> str:
-    logger.info("Verifying reset token.")
-    try:
-        payload = jwt.decode(token, SECRET_KEY, algorithms=[ALGORITHM])
-        email: str = payload.get("sub")
-        if email is None:
-            raise HTTPException(status_code=400, detail="Invalid token")
-        return email
-    except JWTError:
-        raise HTTPException(status_code=400, detail="Invalid or expired token")
-
-async def validate_password_strength(password: str) -> None:
-    logger.info("Validating password strength.")
-
-    if len(password) < 8:
-        raise HTTPException(status_code=400, detail="Password must be at least 8 characters long.")
-    if not re.search(r"[A-Z]", password):
-        raise HTTPException(status_code=400, detail="Password must contain at least one uppercase letter.")
-    if not re.search(r"[a-z]", password):
-        raise HTTPException(status_code=400, detail="Password must contain at least one lowercase letter.")
-    if not re.search(r"[0-9]", password):
-        raise HTTPException(status_code=400, detail="Password must contain at least one number.")
-    if not re.search(r"[!@#$%^&*(),.?\":{}|<>]", password):
-        raise HTTPException(status_code=400, detail="Password must contain at least one special character.")
-
-#==========OTP============
-def verify_password_reset_otp(email: str, otp: str) -> bool:
-    """Verify the 6-digit OTP sent to user's email"""
-    logger.info(f"Verifying OTP for email: {email}")
-    
-    db = get_db()
-    if db is None:
-        logger.error("Database connection failed")
-        raise HTTPException(status_code=500, detail="Database connection error")
-    
-    user = db["users"].find_one({"email": email})
-    
-    if not user:
-        logger.warning(f"No user found with email: {email}")
-        logger.error("User not found")
-        raise HTTPException(status_code=404, detail="User not found")
-       
-    if str(user.get("otp")) != otp:
-        logger.warning(f"Invalid OTP for email: {email}")
-        logger.error("Invalid OTP provided")
-        raise HTTPException(status_code=400, detail="Invalid OTP")
-    otp_created_at = user.get("otp_created_at")
-    # Check if OTP is expired (e.g., older than 5 minutes)
-    if isinstance(otp_created_at, str):
-        otp_created_at = parser.isoparse(otp_created_at)
-    elif otp_created_at and otp_created_at.tzinfo is None:
-        otp_created_at = otp_created_at.replace(tzinfo=timezone.utc)
-
-    # Now safe to compare
-    if otp_created_at and (datetime.now(timezone.utc) - otp_created_at).total_seconds() > 300:
-        logger.warning(f"OTP expired for email: {email}")
-        raise HTTPException(status_code=400, detail="OTP expired")
-    
-    logger.info(f"OTP verified successfully for email: {email}")
-    return True
-def generate_otp(email: str) -> str:
-    """Generate a 6-digit OTP for password reset"""
-    logger.info(f"Generating OTP for email: {email}")
-    generated_otp = randint(100000, 999999)
-    # otp = OTP()
-    
-    # otp.otp = str(rand)
-    # otp.created_at = datetime.now(timezone.utc)
-    
-    
-    
-    # Store OTP in the database
-    logger.info(f"Storing OTP for email: {email}")
-    db = get_db()
-    if db is None:
-        logger.error("Database connection failed")
-        raise HTTPException(status_code=500, detail="Database connection error")
-    
-    db["users"].update_one(
-        {"email": email},
-        {"$set": {"otp": generated_otp, "otp_created_at": datetime.now(timezone.utc)}},
-        upsert=True
-    )
-    
-    return generated_otp
-
-async def send_password_reset_otp(email: str) -> bool:
-    """Send OTP to user's email for password reset"""
-    logger.info(f"Sending OTP to email: {email}, Configuring FastMail to send OTP to {email}, from {EMAIL_FROM}, with {EMAIL_USERNAME}")
-    
-    otp = generate_otp(email)
-    
-    # Configure FastMail for sending emails
-   
-    message = MessageSchema(
-        subject="Password Reset OTP",
-        recipients=[email],
-        body=f"Your OTP for password reset is: {otp}",
-        subtype=MessageType.plain
-    )
-    
-    print("\n\n\n\n, ", email, " type:", type(email))
-    
-    try:
-        
-        print("\n\n CONFIG: ", conf)
-        fm = FastMail(conf)
-        await fm.send_message(message)
-        logger.info(f"OTP sent to {email}: {otp}")
-        return True
-    except Exception as e:
-        logger.error(f"Failed to send OTP to {email}: {e}")
-        raise HTTPException(status_code=500, detail="Failed to send OTP")
+
+from typing import Optional
+from fastapi import HTTPException
+from jose import jwt, JWTError
+from random import randint
+import logging
+from datetime import datetime, timezone
+from ..db.db_connection import get_db, close_db
+from ..Users.models import UserModel
+import re, os
+from fastapi import HTTPException
+from dotenv import load_dotenv
+from ..utils.env_loader import load_env_from_root
+
+from fastapi_mail import FastMail, MessageSchema, ConnectionConfig, MessageType
+
+
+from dateutil import parser
+# Load environment variables from the root .env file
+load_env_from_root()
+SECRET_KEY = os.getenv("SECRET_KEY")
+ALGORITHM = os.getenv("ALGORITHM", "HS256")
+RESET_TOKEN_EXPIRE_MINUTES = int(os.getenv("RESET_TOKEN_EXPIRE_MINUTES", "300"))
+EMAIL_USERNAME = os.getenv("EMAIL_USERNAME")
+EMAIL_PASSWORD = os.getenv("EMAIL_PASSWORD")
+EMAIL_FROM = os.getenv("EMAIL_FROM", "noreply@example.com")
+EMAIL_PORT = int(os.getenv("SMTP_PORT", "587"))
+EMAIL_SERVER = os.getenv("SMTP_SERVER", "smtp.gmail.com")
+
+# Only create ConnectionConfig if email credentials are available
+conf = None
+if EMAIL_USERNAME and EMAIL_PASSWORD:
+    conf = ConnectionConfig(
+        MAIL_USERNAME=EMAIL_USERNAME,
+        MAIL_PASSWORD=EMAIL_PASSWORD,
+        MAIL_FROM=EMAIL_FROM,
+        MAIL_PORT=EMAIL_PORT,
+        MAIL_SERVER=EMAIL_SERVER,
+        USE_CREDENTIALS=True,
+        MAIL_STARTTLS=True,
+        MAIL_SSL_TLS=False,
+    )
+# Logger setup
+logger = logging.getLogger("security")
+logging.basicConfig(level=logging.INFO)
+
+
+def verify_reset_token(token: str) -> str:
+    logger.info("Verifying reset token.")
+    try:
+        payload = jwt.decode(token, SECRET_KEY, algorithms=[ALGORITHM])
+        email: str = payload.get("sub")
+        if email is None:
+            raise HTTPException(status_code=400, detail="Invalid token")
+        return email
+    except JWTError:
+        raise HTTPException(status_code=400, detail="Invalid or expired token")
+
+async def validate_password_strength(password: str) -> None:
+    logger.info("Validating password strength.")
+
+    if len(password) < 8:
+        raise HTTPException(status_code=400, detail="Password must be at least 8 characters long.")
+    if not re.search(r"[A-Z]", password):
+        raise HTTPException(status_code=400, detail="Password must contain at least one uppercase letter.")
+    if not re.search(r"[a-z]", password):
+        raise HTTPException(status_code=400, detail="Password must contain at least one lowercase letter.")
+    if not re.search(r"[0-9]", password):
+        raise HTTPException(status_code=400, detail="Password must contain at least one number.")
+    if not re.search(r"[!@#$%^&*(),.?\":{}|<>]", password):
+        raise HTTPException(status_code=400, detail="Password must contain at least one special character.")
+
+#==========OTP============
+def verify_password_reset_otp(email: str, otp: str) -> bool:
+    """Verify the 6-digit OTP sent to user's email"""
+    logger.info(f"Verifying OTP for email: {email}")
+    
+    db = get_db()
+    if db is None:
+        logger.error("Database connection failed")
+        raise HTTPException(status_code=500, detail="Database connection error")
+    
+    user = db["users"].find_one({"email": email})
+    
+    if not user:
+        logger.warning(f"No user found with email: {email}")
+        logger.error("User not found")
+        raise HTTPException(status_code=404, detail="User not found")
+       
+    if str(user.get("otp")) != otp:
+        logger.warning(f"Invalid OTP for email: {email}")
+        logger.error("Invalid OTP provided")
+        raise HTTPException(status_code=400, detail="Invalid OTP")
+    otp_created_at = user.get("otp_created_at")
+    # Check if OTP is expired (e.g., older than 5 minutes)
+    if isinstance(otp_created_at, str):
+        otp_created_at = parser.isoparse(otp_created_at)
+    elif otp_created_at and otp_created_at.tzinfo is None:
+        otp_created_at = otp_created_at.replace(tzinfo=timezone.utc)
+
+    # Now safe to compare
+    if otp_created_at and (datetime.now(timezone.utc) - otp_created_at).total_seconds() > 300:
+        logger.warning(f"OTP expired for email: {email}")
+        raise HTTPException(status_code=400, detail="OTP expired")
+    
+    logger.info(f"OTP verified successfully for email: {email}")
+    return True
+def generate_otp(email: str) -> str:
+    """Generate a 6-digit OTP for password reset"""
+    logger.info(f"Generating OTP for email: {email}")
+    generated_otp = randint(100000, 999999)
+    # otp = OTP()
+    
+    # otp.otp = str(rand)
+    # otp.created_at = datetime.now(timezone.utc)
+    
+    
+    
+    # Store OTP in the database
+    logger.info(f"Storing OTP for email: {email}")
+    db = get_db()
+    if db is None:
+        logger.error("Database connection failed")
+        raise HTTPException(status_code=500, detail="Database connection error")
+    
+    db["users"].update_one(
+        {"email": email},
+        {"$set": {"otp": generated_otp, "otp_created_at": datetime.now(timezone.utc)}},
+        upsert=True
+    )
+    
+    return generated_otp
+
+async def send_password_reset_otp(email: str) -> bool:
+    """Send OTP to user's email for password reset"""
+    logger.info(f"Sending OTP to email: {email}, Configuring FastMail to send OTP to {email}, from {EMAIL_FROM}, with {EMAIL_USERNAME}")
+    
+    otp = generate_otp(email)
+    
+    # Configure FastMail for sending emails
+   
+    message = MessageSchema(
+        subject="Password Reset OTP",
+        recipients=[email],
+        body=f"Your OTP for password reset is: {otp}",
+        subtype=MessageType.plain
+    )
+    
+    print("\n\n\n\n, ", email, " type:", type(email))
+    
+    try:
+        
+        print("\n\n CONFIG: ", conf)
+        fm = FastMail(conf)
+        await fm.send_message(message)
+        logger.info(f"OTP sent to {email}: {otp}")
+        return True
+    except Exception as e:
+        logger.error(f"Failed to send OTP to {email}: {e}")
+        raise HTTPException(status_code=500, detail="Failed to send OTP")
diff --git a/src/API/db/db_connection.py b/src/API/db/db_connection.py
index add2afa1..4839a5ed 100644
--- a/src/API/db/db_connection.py
+++ b/src/API/db/db_connection.py
@@ -5,12 +5,13 @@
 import logging
 from dotenv import load_dotenv
 import os
+from ..utils.env_loader import load_env_from_root
 
 # Logger setup
 logger = logging.getLogger("db_connection")
 
-# Load environment variables
-load_dotenv('/app/.env')
+# Load environment variables from the root .env file
+load_env_from_root()
 
 # MongoDB connection settings
 SECRET_KEY = os.getenv("SECRET_KEY")
diff --git a/src/API/utils/env_loader.py b/src/API/utils/env_loader.py
new file mode 100644
index 00000000..92836dc4
--- /dev/null
+++ b/src/API/utils/env_loader.py
@@ -0,0 +1,29 @@
+import os
+from dotenv import load_dotenv
+
+def load_env_from_root():
+    """
+    Load environment variables from the root .env file.
+    This function calculates the path to the root .env file relative to the current file location.
+    """
+    # Get the current file's directory
+    current_dir = os.path.dirname(__file__)
+    
+    # Navigate to the root directory (browser-use-web-ui)
+    # From src/API/utils/ -> src/API/ -> src/ -> root
+    root_dir = os.path.join(current_dir, '..', '..', '..')
+    
+    # Prefer .env mounted at /app/.env inside the container
+    env_path = '/app/.env'
+    if not os.path.exists(env_path):
+        # Fallback to local root .env for non-docker runs
+        env_path = os.path.join(root_dir, '.env')
+    
+    # Debug: Print the calculated path
+    print(f"Loading .env from: {env_path}")
+    print(f"File exists: {os.path.exists(env_path)}")
+    
+    # Load the environment variables
+    load_dotenv(env_path)
+    
+    return env_path 
\ No newline at end of file

From 09dfe01f2249418f4294eb4bb7c0a601bbf56a28 Mon Sep 17 00:00:00 2001
From: Mohsin Ali Irfan <mohsin.ali@codeupscale.com>
Date: Mon, 18 Aug 2025 20:01:11 +0500
Subject: [PATCH 37/38] Gertting the entire output from agent inlcluding all
 the sets and removing the unused stop api

---
 src/API/Ai_Testing/routes.py                  |  36 +-
 src/API/Ai_Testing/services.py                |  83 +-
 src/webui/components/browser_use_agent_tab.py | 725 +-----------------
 3 files changed, 28 insertions(+), 816 deletions(-)

diff --git a/src/API/Ai_Testing/routes.py b/src/API/Ai_Testing/routes.py
index 38ea50ba..8750f69a 100644
--- a/src/API/Ai_Testing/routes.py
+++ b/src/API/Ai_Testing/routes.py
@@ -1,36 +1,10 @@
-from fastapi import APIRouter, Depends, HTTPException
-from pydantic import BaseModel
-from src.webui.components import browser_use_agent_tab
-from src.webui.components.browser_use_agent_tab import run_agent_task
-from fastapi import HTTPException
-from fastapi.staticfiles import StaticFiles
+from fastapi import APIRouter
 from .schemas import AgentRequest
-from ..Users.current_user import get_current_user
-from .services import run_agent_work, stop_agent_work
+from .services import run_agent_work
 
 router = APIRouter()
 
 @router.post("/run-agent")
-async def run_agent(request: AgentRequest ):
-    try:
-        # user = current_user
-        
-        result = await run_agent_work(request.query, request.url, {"sub": "ahmad.ejaz@codeupscale.com"})
-        
-        return {
-            "status": "success",
-            
-            "final_result": result["final_result"]
-        }
-    except Exception as e:
-        print(f"❌ Agent error: {e}")
-        raise HTTPException(status_code=500, detail=str (e))
-    
-@router.post("/stop-agent")
-async def stop_agent():
-    try:
-        await stop_agent_work()
-        return {"status": "success"}
-    except Exception as e:
-        print(f"❌ Stop agent error: {e}")
-        raise HTTPException(status_code=500, detail=str(e))
+async def run_agent(request: AgentRequest):    
+    return await run_agent_work(request.query, request.url, {"sub": "ahmad.ejaz@codeupscale.com"})
+        
\ No newline at end of file
diff --git a/src/API/Ai_Testing/services.py b/src/API/Ai_Testing/services.py
index aa163e3c..dfdfbd6c 100644
--- a/src/API/Ai_Testing/services.py
+++ b/src/API/Ai_Testing/services.py
@@ -1,18 +1,9 @@
-from fastapi import FastAPI, WebSocket, WebSocketDisconnect, Depends, HTTPException
-from pydantic import BaseModel
-from src.webui.components import browser_use_agent_tab
+from fastapi import  HTTPException
 from src.webui.components.browser_use_agent_tab import run_agent_task
-from fastapi.staticfiles import StaticFiles
-from .schemas import AgentRequest
-from ..Users.current_user import get_current_user
-from ..Users.models import UserModel
 from ..db.db_connection import get_db
 from ..Users.services import find_user_by_email  
-from datetime import datetime, timezone
-from .models import AgentModel
-from src.websocket.websocket_manager import WebSocketManager
 
-# Get the WebSocket manager from the main app
+
 manager = None
 
 def set_websocket_manager(ws_manager):
@@ -21,66 +12,32 @@ def set_websocket_manager(ws_manager):
 
 async def run_agent_work(query,url, user):
     try:
-        db= get_db()
-        
-        user = find_user_by_email(user["sub"])
-        if not user:
-            raise HTTPException(status_code=404, detail="User not found")
-        agent = AgentModel(
-            query=query,
-            url=url,
-            result={"final_result": "PENDING",
-                        "steps": [
-                        {
-                            "step": "PENDING",
-                            "step_no": 0,
-                            "action": [
-                            {
-                                "action": {
-                                
-                                }
-                            }
-                            ],
-                            "created_at": "2025-08-07T12:00:00Z",
-                            "updated_at": "2025-08-07T12:00:00Z"
-                        }
-                        ]
-                    },
-        # Simulate run,
-            user_id=str(user["_id"]),
-            created_at=datetime.now(timezone.utc),
-            updated_at=datetime.now(timezone.utc),
-        )
-        # Here you would typically save the agent to the database
-        try:
-            i_id = db["agent_tasks"].insert_one(agent.model_dump())
-            
-        except Exception as e:
-            print(f"❌ DB Insertion  error: {e}")
-            raise HTTPException(status_code=500, detail=str(e))
         
+        print("\n DELETING THE AGENT EXECUTION JSON FILE")
+        with open("src/outputdata/agent_execution.json", "w") as file:
+            file.write("")
+
 
         async def message_callback(message: str):
             if manager:
                 await manager.send_message(message)
 
-        result = await run_agent_task(query,url, message_callback=message_callback)
-        print(result)  
-        # Simulate running the agent task
-       # db["agent_tasks"].update_one({"_id": i_id.inserted_id}, {"$set": {"result": result , "updated_at": datetime.now(timezone.utc)}})
+        await run_agent_task(query,url, message_callback=message_callback)
+    
 
-        return result
-    except Exception as e:
-        print(f"❌ Agent error: {e}")
-        raise HTTPException(status_code=500, detail=str(e))
+        with open("src/outputdata/agent_execution.json", "r") as file:
+            data = file.read()
+
+            if data:
+                print("data found in the agent_execution.json file")
+                print(data)
+                return data
+            else:
+                print("No data found in the agent_execution.json file")
+                return {"message": "no data found"}
+              
 
-async def stop_agent_work():
-    try:
-        print("Stopping agent work")
     except Exception as e:
-        print(f"❌ Stop agent error: {e}")
+        print(f"❌ Agent error: {e}")
         raise HTTPException(status_code=500, detail=str(e))
-    
-
-# WebSocket endpoint removed - now handled in main.py
 
diff --git a/src/webui/components/browser_use_agent_tab.py b/src/webui/components/browser_use_agent_tab.py
index 60d3dc0f..a10e4d47 100644
--- a/src/webui/components/browser_use_agent_tab.py
+++ b/src/webui/components/browser_use_agent_tab.py
@@ -51,9 +51,6 @@
 
 
 
-# --- Helper Functions --- (Defined at module level)
-
-
 async def _initialize_llm(
         provider: Optional[str],
         model_name: Optional[str],
@@ -89,268 +86,6 @@ async def _initialize_llm(
         )
         return None
 
-#This function is defined to get Gradio settings but is never used anywhere in the code.
-
-# def _get_config_value(
-#         webui_manager: WebuiManager,
-#         comp_dict: Dict[gr.components.Component, Any],
-#         comp_id_suffix: str,
-#         default: Any = None,
-# ) -> Any:
-#     """Safely get value from component dictionary using its ID suffix relative to the tab."""
-#     # Assumes component ID format is "tab_name.comp_name"
-#     tab_name = "browser_use_agent"  # Hardcode or derive if needed
-#     comp_id = f"{tab_name}.{comp_id_suffix}"
-#     # Need to find the component object first using the ID from the manager
-#     try:
-#         comp = webui_manager.get_component_by_id(comp_id)
-#         return comp_dict.get(comp, default)
-#     except KeyError:
-#         # Try accessing settings tabs as well
-#         for prefix in ["agent_settings", "browser_settings"]:
-#             try:
-#                 comp_id = f"{prefix}.{comp_id_suffix}"
-#                 comp = webui_manager.get_component_by_id(comp_id)
-#                 return comp_dict.get(comp, default)
-#             except KeyError:
-#                 continue
-#         logger.warning(
-#             f"Component with suffix '{comp_id_suffix}' not found in manager for value lookup."
-#         )
-#         return default
-
-
-# def _format_agent_output(model_output: AgentOutput) -> str:
-#     """Formats AgentOutput for display in the chatbot using JSON."""
-#     content = ""
-#     if model_output:
-#         try:
-#             # Directly use model_dump if actions and current_state are Pydantic models
-#             action_dump = [
-#                 action.model_dump(exclude_none=True) for action in model_output.action
-#             ]
-
-#             state_dump = model_output.current_state.model_dump(exclude_none=True)
-#             model_output_dump = {
-#                 "current_state": state_dump,
-#                 "action": action_dump,
-#             }
-#             # Dump to JSON string with indentation
-#             json_string = json.dumps(model_output_dump, indent=4, ensure_ascii=False)
-#             # Wrap in <pre><code> for proper display in HTML
-#             content = f"<pre><code class='language-json'>{json_string}</code></pre>"
-
-#         except AttributeError as ae:
-#             logger.error(
-#                 f"AttributeError during model dump: {ae}. Check if 'action' or 'current_state' or their items support 'model_dump'."
-#             )
-#             content = f"<pre><code>Error: Could not format agent output (AttributeError: {ae}).\nRaw output: {str(model_output)}</code></pre>"
-#         except Exception as e:
-#             logger.error(f"Error formatting agent output: {e}", exc_info=True)
-#             # Fallback to simple string representation on error
-#             content = f"<pre><code>Error formatting agent output.\nRaw output:\n{str(model_output)}</code></pre>"
-
-#     return content.strip()
-
-
-# --- Updated Callback Implementation ---
-
-
-# async def _handle_new_step(
-#         webui_manager: WebuiManager, state: BrowserState, output: AgentOutput, step_num: int
-# ):
-#     """Callback for each step taken by the agent, including screenshot display."""
-
-#     # print("\n\n\n\n\n HANDLE NEW STEP CALLED\n\n\n\n\n")
-
-#     # Use the correct chat history attribute name from the user's code
-#     if not hasattr(webui_manager, "bu_chat_history"):
-#         logger.error(
-#             "Attribute 'bu_chat_history' not found in webui_manager! Cannot add chat message."
-#         )
-#         # Initialize it maybe? Or raise an error? For now, log and potentially skip chat update.
-#         webui_manager.bu_chat_history = []  # Initialize if missing (consider if this is the right place)
-#         # return # Or stop if this is critical
-#     step_num -= 1
-#     logger.info(f"Step {step_num} completed.")
-
-#     #get the current directory
-#     #and create a new directory according to the step number
-#     current_dir = os.path.dirname(__file__)
-    #     # Paths for local development
-    #     # output_data_dir = os.path.join(current_dir, "..", "..", "src", "outputdata", "step_" + str(step_num))
-    #     #output_data_dir = os.path.join(current_dir, "..", "..", "outputdata", "step_" + str(step_num))
-    #     # output_data_dir = "./outputdata"
-    #     
-    #     # Paths for Dockerized application
-    #     output_data_dir = "/app/src/outputdata"
-
-#     os.makedirs(output_data_dir, exist_ok=True)
-
-#     # --- Screenshot Handling ---
-#     screenshot_html = ""
-#     # Ensure state.screenshot exists and is not empty before proceeding
-#     # Use getattr for safer access
-#     screenshot_data = getattr(state, "screenshot", None)
-#     # print("\n\n\n\n\n SCREENSHOT DATA: ", screenshot_data, "\n\n\n\n\n")
-#     if screenshot_data:
-#         try:
-#             # Basic validation: check if it looks like base64
-#             if (
-#                     isinstance(screenshot_data, str) and len(screenshot_data) > 100
-#             ):  
-#                 # Decode the base64 string
-#                 #image_to_save_locally = screenshot_data = base64.b64decode(screenshot_data)      # change this line of code bc here screenshot_data value is override
-#                 image_to_save_locally = base64.b64decode(screenshot_data)
-
-#                 #saving the image in the output data directory
-#                 image_path = os.path.join(output_data_dir, "output_image.png")
-#                 try:
-#                     logger.info(f"Saving image to {image_path}")
-#                     with open(image_path, "wb") as f:
-#                         f.write(image_to_save_locally)
-#                     logger.info(f"\n IMAGE SAVED TO PATH: {image_path}")
-#                 except Exception as e:
-#                     logger.error(f"Error saving image: {e}")                
-                
-#                 # Arbitrary length check
-#                 # *** UPDATED STYLE: Removed centering, adjusted width ***
-#                 img_tag = f'<img src="data:image/jpeg;base64,{image_to_save_locally}" alt="Step {step_num} Screenshot" style="max-width: 800px; max-height: 600px; object-fit:contain;" />'
-#                 screenshot_html = (
-#                         img_tag + "<br/>"
-#                 )  # Use <br/> for line break after inline-block image
-#             else:
-#                 logger.warning(
-#                     f"Screenshot for step {step_num} seems invalid (type: {type(screenshot_data)}, len: {len(screenshot_data) if isinstance(screenshot_data, str) else 'N/A'})."
-#                 )
-#                 screenshot_html = "**[Invalid screenshot data]**<br/>"
-
-#         except Exception as e:
-#             logger.error(
-#                 f"Error processing or formatting screenshot for step {step_num}: {e}",
-#                 exc_info=True,
-#             )
-#             screenshot_html = "**[Error displaying screenshot]**<br/>"
-#     else:
-#         logger.debug(f"No screenshot available for step {step_num}.")
-
-#     # --- Format Agent Output ---
-#     formatted_output = _format_agent_output(output)  # Use the updated function
-
-#     # --- Combine and Append to Chat ---
-#     step_header = f"--- **Step {step_num}** ---"
-#     # Combine header, image (with line break), and JSON block
-#     final_content = step_header + "<br/>" + screenshot_html + formatted_output
-#     save_chat = {
-#         "evaluation_previous_goal": getattr(output.current_state, "evaluation_previous_goal", ""),
-#         "memory": getattr(output.current_state, "memory", ""),
-#         "next_goal": getattr(output.current_state, "next_goal", ""),
-#     }
-
-#     chat_message = {
-#         "role": "assistant",
-#         "content": final_content.strip(),  # Remove leading/trailing whitespace
-#     }
-
-#     #lets store the formatted output in a file
-#     agent_response_path = os.path.join(output_data_dir, "agent_response.json")
-#     try:
-#         logger.info(f"Saving agent response to {agent_response_path}")
-#         with open(agent_response_path, "w") as f:
-#             json.dump(save_chat, f)
-#             logger.info(f"\n AGENT RESPONSE SAVED TO PATH: {agent_response_path}")
-#     except Exception as e:
-#         logger.error(f"Error saving agent response: {e}")
-
-
-#     # Append to the correct chat history list
-#     webui_manager.bu_chat_history.append(chat_message)
-        
-#     await asyncio.sleep(0.05)
-
-#     # Check if video recording is active
-#     if hasattr(webui_manager.bu_browser, ''
-#     ''):
-#         if webui_manager.bu_browser.recorder.is_video_recording():
-#             logger.info("🎥 Video recording is active")
-#         else:
-#             logger.warning("⚠️ Video recording is not active!")
-
-
-# def _handle_done(webui_manager: WebuiManager, history: AgentHistoryList):
-#     """Callback when the agent finishes the task (success or failure)."""
-#     logger.info(
-#         f"Agent task finished. Duration: {history.total_duration_seconds():.2f}s, Tokens: {history.total_input_tokens()}"
-#     )
-#     final_summary = "**Task Completed**\n"
-#     final_summary += f"- Duration: {history.total_duration_seconds():.2f} seconds\n"
-#     final_summary += f"- Total Input Tokens: {history.total_input_tokens()}\n"  # Or total tokens if available
-
-#     final_result = history.final_result()
-#     if final_result:
-#         final_summary += f"- Final Result: {final_result}\n"
-
-#     errors = history.errors()
-#     if errors and any(errors):
-#         final_summary += f"- **Errors:**\n```\n{errors}\n```\n"
-#     else:
-#         final_summary += "- Status: Success\n"
-
-#     webui_manager.bu_chat_history.append(
-#         {"role": "assistant", "content": final_summary}
-#     )
-
-#This callback handles agent help requests but isn’t used in the current flow. 
-# and This feature is disabled for the current use case.
-
-# async def _ask_assistant_callback(
-#         webui_manager: WebuiManager, query: str #, browser_context: BrowserContext
-# ) -> Dict[str, Any]:
-#     """Callback triggered by the agent's ask_for_assistant action."""
-#     logger.info("Agent requires assistance. Waiting for user input.")
-
-#     if not hasattr(webui_manager, "_chat_history"):
-#         logger.error("Chat history not found in webui_manager during ask_assistant!")
-#         return {"response": "Internal Error: Cannot display help request."}
-
-#     webui_manager.bu_chat_history.append(
-#         {
-#             "role": "assistant",
-#             "content": f"**Need Help:** {query}\nPlease provide information or perform the required action in the browser, then type your response/confirmation below and click 'Submit Response'.",
-#         }
-#     )
-
-#     # Use state stored in webui_manager
-#     webui_manager.bu_response_event = asyncio.Event()
-#     webui_manager.bu_user_help_response = None  # Reset previous response
-
-#     try:
-#         logger.info("Waiting for user response event...")
-#         await asyncio.wait_for(
-#             webui_manager.bu_response_event.wait(), timeout=3600.0
-#         )  # Long timeout
-#         logger.info("User response event received.")
-#     except asyncio.TimeoutError:
-#         logger.warning("Timeout waiting for user assistance.")
-#         webui_manager.bu_chat_history.append(
-#             {
-#                 "role": "assistant",
-#                 "content": "**Timeout:** No response received. Trying to proceed.",
-#             }
-#         )
-#         webui_manager.bu_response_event = None  # Clear the event
-#         return {"response": "Timeout: User did not respond."}  # Inform the agent
-
-#     response = webui_manager.bu_user_help_response
-#     webui_manager.bu_chat_history.append(
-#         {"role": "user", "content": response}
-#     )  # Show user response in chat
-#     webui_manager.bu_response_event = (
-#         None  # Clear the event for the next potential request
-#     )
-#     return {"response": response}
-
-# --- Core Agent Execution Logic --- (Needs access to webui_manager)
 
 async def run_agent_task(query: str, url: str, message_callback: Optional[Callable[[str], Awaitable[None]]] = None) -> Dict[str, Any]:
     """
@@ -479,9 +214,6 @@ async def handle_step(state: BrowserState, output: AgentOutput, step_num: int):
             "next_goal": getattr(output.current_state, "next_goal", ""),
         }
 
-        # if message_callback:
-            
-        #     await message_callback(f"🤖 Step {step_num}: {response_data['next_goal']}")
 
         response_path = os.path.join(step_dir, "agent_response.json")
         with open(response_path, "w") as f:
@@ -521,6 +253,8 @@ async def handle_step(state: BrowserState, output: AgentOutput, step_num: int):
         controller=controller
     )
 
+    print("\n\n\n\n\n history:", history)
+
     last_result = None
     if history.history:
         last_item = history.history[-1]
@@ -533,9 +267,6 @@ async def handle_step(state: BrowserState, output: AgentOutput, step_num: int):
     else:
         print("⚠️ No result found.")
 
-    # if message_callback:
-    #     await message_callback("📦 Processing final result...")
-
     try:
         await recorder.save_recording()
     except Exception as e:
@@ -582,400 +313,6 @@ async def _initialize_llm(
         api_key=api_key,
     )
 
-# changed####******!!!!!!
-# async def run_agent_task(
-#         webui_manager: WebuiManager, components: Dict[gr.components.Component, Any]
-# ) -> AsyncGenerator[Dict[gr.components.Component, Any], None]:
-    
-#     # Initialize final_update at the start
-#     final_update = {}
-
-#     # --- Get Components ---
-#     # Need handles to specific UI components to update them
-#     user_input_comp = webui_manager.get_component_by_id("browser_use_agent.user_input")
-#     url_input_comp = webui_manager.get_component_by_id("browser_use_agent.url_input")
-#     run_button_comp = webui_manager.get_component_by_id("browser_use_agent.run_button")
-#     stop_button_comp = webui_manager.get_component_by_id("browser_use_agent.stop_button")
-#     #pause_resume_button_comp = webui_manager.get_component_by_id("browser_use_agent.pause_resume_button")      #Pause/resume functionality not implemented in agent state machine
-#     clear_button_comp = webui_manager.get_component_by_id("browser_use_agent.clear_button")
-#     #chatbot_comp = webui_manager.get_component_by_id("browser_use_agent.chatbot")
-#     history_file_comp = webui_manager.get_component_by_id("browser_use_agent.agent_history_file")
-#     gif_comp = webui_manager.get_component_by_id("browser_use_agent.recording_gif")
-#     #browser_view_comp = webui_manager.get_component_by_id("browser_use_agent.browser_view")                    #not used used anywhere
-
-#     # --- 1. Get Task and Initial UI Update ---
-#     task = components.get(user_input_comp, "").strip()
-#     url = components.get(url_input_comp, "").strip()
-
-#     #lets always make sure that if the task is not empty then it should have the url in it
-#     if task:
-#         task += f"  url:  {url}"
-
-#     else:
-#         gr.Warning("Please enter a task.")
-#         yield {run_button_comp: gr.update(interactive=True)}
-#         return
-
-#     # Set running state indirectly via _current_task
-#     webui_manager.bu_chat_history.append({"role": "user", "content": task})
-
-#     yield {
-#         user_input_comp: gr.Textbox(
-#             value="", interactive=False, placeholder="Agent is running..."
-#         ),
-#         run_button_comp: gr.Button(value="⏳ Running...", interactive=False),
-#         stop_button_comp: gr.Button(interactive=True),
-#         #pause_resume_button_comp: gr.Button(value="⏸️ Pause", interactive=True),                 #resume and pause button is not needed
-#         clear_button_comp: gr.Button(interactive=False),
-#         #chatbot_comp: gr.update(value=webui_manager.bu_chat_history),
-#         history_file_comp: gr.update(value=None),
-#         gif_comp: gr.update(value=None),
-#     }
-
-#     # --- 2. Get Settings ---
-#     def get_setting(key, default=None):
-#         comp = webui_manager.id_to_component.get(f"agent_settings.{key}")
-#         return components.get(comp, default) if comp else default
-
-#     # Main LLM Settings
-#     llm_provider_name = get_setting("llm_provider") or "openai"
-#     llm_model_name = get_setting("llm_model_name") or "gpt-4o"
-#     llm_temperature = 0.6 #get_setting("llm_temperature", 0.6)         #we are not giving option to user to select the temp
-#     #llm_base_url = get_setting("llm_base_url") or None                #no need for this here
-#     llm_api_key =None #get_setting("llm_api_key") or None
-#     #ollama_num_ctx = get_setting("ollama_num_ctx", 16000)              #ontext window setting is not used in current LLM initialization or agent workflow
-#     use_vision = True #get_setting("use_vision", True)
-#     max_actions = 5 # get_setting("max_actions_per_step", 5)
-#     #max_steps = get_setting("max_steps", 25)
-#     #tool_calling_method = get_setting("tool_calling_method", "auto")    # Not implemented in agent workflow
-#     #max_input_tokens = get_setting("max_input_tokens", 16000)
-#     # override_system_prompt = get_setting("override_system_prompt") or None
-#     # extend_system_prompt = get_setting("extend_system_prompt") or None
-
-#     #we would not be using the override_system_prompt and extend_system_prompt
-#     # as they are being passed to the AgentOrhcestrator, we need to srt a default value
-#     override_system_prompt = None
-#     extend_system_prompt = None
-
-#     # --- 3. Initialize LLM ---
-#     logger.info(f"Initializing LLM: Provider={llm_provider_name}, Model={llm_model_name}, Temp={llm_temperature}")
-#     main_llm = await _initialize_llm(
-#         llm_provider_name,
-#         llm_model_name,
-#         llm_temperature,
-#         #llm_base_url,
-#         llm_api_key,
-#         #ollama_num_ctx if llm_provider_name == "ollama" else None,
-#     )
-
-
-# #planner functionality using a separate LLM is not required in the current setup.
-
-
-#     # planner_llm_provider_name = None                        
-#     # planner_llm = None
-#     # planner_use_vision = False
-#     # if planner_llm_provider_name:
-#     #     planner_llm_model_name = None# get_setting("planner_llm_model_name")
-#     #     planner_llm_temperature = 0.6 #get_setting("planner_llm_temperature", 0.6)
-#     #     #planner_ollama_num_ctx = get_setting("planner_ollama_num_ctx", 16000)
-#     #     #planner_llm_base_url = get_setting("planner_llm_base_url") or None
-#     #     #planner_llm_api_key = get_setting("planner_llm_api_key") or None
-#     #     planner_use_vision = get_setting("planner_use_vision", False)
-
-
-
-#     #     planner_llm = await _initialize_llm(
-#     #         planner_llm_provider_name,
-#     #         planner_llm_model_name,
-#     #         planner_llm_temperature,
-#     #         #planner_llm_base_url,
-#     #         #planner_llm_api_key,
-#     #         #planner_ollama_num_ctx if planner_llm_provider_name == "ollama" else None,
-#     #     )
-
-#     # --- 4. Browser Settings ---
-#     def get_browser_setting(key, default=None):
-#         comp = webui_manager.id_to_component.get(f"browser_settings.{key}")
-#         return components.get(comp, default) if comp else default
-
-#     #browser_binary_path = get_browser_setting("browser_binary_path") or None               #not needed
-#     #browser_user_data_dir = get_browser_setting("browser_user_data_dir") or None          #not accessed any where
-#     use_own_browser = True # get_browser_setting("use_own_browser", True)                  #we are not giving this option to the user
-#     keep_browser_open = False #get_browser_setting("keep_browser_open", False)
-#     headless = False #get_browser_setting("headless", False)                                #setting the value False bydefault
-#     disable_security = False# get_browser_setting("disable_security", False)
-#     window_w = 1280 #int(get_browser_setting("window_w", 1280))                             #no need to get value from user hardcode it
-#     window_h = 1100#int(get_browser_setting("window_h", 1100))                              #no need to get value from user hardcode it
-#     #cdp_url = get_browser_setting("cdp_url") or None                                  # not required in current browser
-#     #wss_url = get_browser_setting("wss_url") or None                                   #not used in this deployment.
-#     save_recording_path = None #get_browser_setting("save_recording_path") or None         # Recording handled through context config
-#     save_trace_path = None #get_browser_setting("save_trace_path") or None                 # Tracing handled through context config
-    #     # Paths for local development
-    #     # save_agent_history_path = get_browser_setting("save_agent_history_path", "./tmp/agent_history")
-    #     # save_download_path = get_browser_setting("save_download_path", "./tmp/downloads")
-    #     
-    #     # Paths for Dockerized application
-    #     save_agent_history_path = get_browser_setting("save_agent_history_path", "/app/src/outputdata/agent_history")
-    #     save_download_path = get_browser_setting("save_download_path", "/app/src/outputdata/downloads")
-#     #should_close_browser_on_finish = not keep_browser_open                                #this logic is not used here 
-
-#     # Create necessary directories
-#     os.makedirs(save_agent_history_path, exist_ok=True)
-#     if save_recording_path:
-#         os.makedirs(save_recording_path, exist_ok=True)
-#     if save_trace_path:
-#         os.makedirs(save_trace_path, exist_ok=True)
-#     if save_download_path:
-#         os.makedirs(save_download_path, exist_ok=True)
-
-#     # --- 5. Initialize Browser and Context ---
-#     try:
-#         # Close existing resources if not keeping open
-#         if not keep_browser_open:
-#             if webui_manager.bu_browser_context:
-#                 logger.info("Closing previous browser context.")
-#                 await webui_manager.bu_browser_context.close()
-#                 webui_manager.bu_browser_context = None
-#             if webui_manager.bu_browser:
-#                 logger.info("Closing previous browser.")
-#                 await webui_manager.bu_browser.close()
-#                 webui_manager.bu_browser = None
-
-#         # Create Browser if needed
-#         if not webui_manager.bu_browser:
-#             logger.info("Launching new browser instance.")
-#             extra_args = []
-
-#             # if use_own_browser:
-#             #     browser_binary_path = os.getenv("BROWSER_PATH", None) or browser_binary_path
-#             #     if browser_binary_path == "":
-#             #         browser_binary_path = None
-#             #     browser_user_data = browser_user_data_dir or os.getenv("BROWSER_USER_DATA", None)
-#             #     if browser_user_data:
-#             #         extra_args += [f"--user-data-dir={browser_user_data}"]
-#             # else:
-#             #     browser_binary_path = None
-
-#             webui_manager.bu_browser = CustomBrowser(
-#                 config=BrowserConfig(
-#                     headless=headless,
-#                     disable_security=disable_security,
-#                     #browser_binary_path=browser_binary_path,               #no need , already removed from browser settings
-#                     extra_browser_args=extra_args,
-#                     # wss_url=wss_url,                                       #already removed from browser settings
-#                     # cdp_url=cdp_url,                                       #no need,already removed from get browser settings
-#                     new_context_config=BrowserContextConfig(
-#                         window_width=window_w,
-#                         window_height=window_h,
-#                     )
-#                 )
-#             )
-            
-#             # Initialize the browser and keep playwright instance alive
-#             webui_manager.bu_playwright = await async_playwright().start()
-#             webui_manager.bu_browser.playwright_browser = await webui_manager.bu_browser._setup_builtin_browser(webui_manager.bu_playwright)
-
-#         # Create Context if needed
-#         if not webui_manager.bu_browser_context:
-#             logger.info("Creating new browser context.")
-#             context_config = BrowserContextConfig(
-#                 # Paths for local development
-#                 # trace_path=save_trace_path if save_trace_path else None,
-#                 # save_recording_path=save_recording_path if save_recording_path else None,
-#                 # save_downloads_path=save_download_path if save_download_path else None,
-#                 
-#                 # Paths for Dockerized application
-#                 trace_path=save_trace_path if save_trace_path else None,
-#                 save_recording_path=save_recording_path if save_recording_path else None,
-#                 save_downloads_path=save_download_path if save_download_path else None,
-#                 window_height=window_h,
-#                 window_width=window_w,
-#             )
-#             if not webui_manager.bu_browser:
-#                 raise ValueError("Browser not initialized, cannot create context.")
-            
-#             webui_manager.bu_browser_context = (
-#                 await webui_manager.bu_browser.new_context(config=context_config)
-#             )
-
-#             print("\n\n\n\n RECORD VIDEO.....................`: \n\n\n\n")
-#             logger.info("Setting up browser context with video recording...")
-#             await webui_manager.bu_browser_context.setup()
-#             logger.info("Browser context setup complete with video recording enabled")
-
-#         # Initialize controller if needed
-#         if not webui_manager.bu_controller:
-#             webui_manager.bu_controller = CustomController()
-
-#         # --- 6. Initialize or Update Agent Orchestrator ---
-#         webui_manager.bu_agent_task_id = str(uuid.uuid4())  # New ID for this task run
-#         os.makedirs(
-#             os.path.join(save_agent_history_path, webui_manager.bu_agent_task_id),
-#             exist_ok=True,
-#         )
-#         history_file = os.path.join(
-#             save_agent_history_path,
-#             webui_manager.bu_agent_task_id,
-#             f"{webui_manager.bu_agent_task_id}.json",
-#         )
-#         gif_path = os.path.join(
-#             save_agent_history_path,
-#             webui_manager.bu_agent_task_id,
-#             f"{webui_manager.bu_agent_task_id}.gif",
-#         )
-
-#         # Pass the webui_manager to callbacks when wrapping them
-#         async def step_callback_wrapper(
-#                 state: BrowserState, output: AgentOutput, step_num: int
-#         ):
-#             # print("\n\n\n\n\n STEP CALLBACK WRAPPER CALLED\n\n\n\n\n")
-#             await _handle_new_step(webui_manager, state, output, step_num)
-
-#         def done_callback_wrapper(history: AgentHistoryList):
-#             _handle_done(webui_manager, history)
-
-#         if not webui_manager.bu_agent:
-#             logger.info(f"Initializing new agent orchestrator for task: {task}")
-#             if not webui_manager.bu_browser or not webui_manager.bu_browser_context:
-#                 raise ValueError(
-#                     "Browser or Context not initialized, cannot create agent."
-#                 )
-#             webui_manager.bu_agent = AgentOrchestrator(
-#                 llm=main_llm,
-#                 browser_config={
-#                     "headless": headless,
-#                     "window_width": window_w,
-#                     "window_height": window_h,
-#                     "use_own_browser": use_own_browser,
-#                     #"browser_binary_path": browser_binary_path,                    #is already removed from LLM initialzation... 
-#                     #"wss_url": wss_url,                                            #wss is already removed from LLM initialzation...
-#                     #"cdp_url": cdp_url,                                            #same for cdp
-#                     "disable_security": disable_security,
-#                     "url": url if url else None
-#                 },
-#                 use_vision=use_vision,
-#                 max_actions_per_step=max_actions,
-#                 generate_gif=gif_path,
-#                 user_query=task,
-#                 url=url if url else None,
-#                 register_new_step_callback = step_callback_wrapper,
-#                 done_callback_wrapper = done_callback_wrapper,
-#                 override_system_prompt = override_system_prompt,
-#                 extend_system_prompt = extend_system_prompt,
-#                 # planner_llm = None,                                                         #only using main LLm for every thing
-#                 # use_vision_for_planner = planner_use_vision if planner_llm else False,
-                
-#             )
-
-#         # --- 7. Run Agent Task and Stream Updates ---
-#         agent_run_coro = webui_manager.bu_agent.run(
-#             task=task,
-#             browser=webui_manager.bu_browser,
-#             browser_context=webui_manager.bu_browser_context,
-#             controller=webui_manager.bu_controller
-#         )
-#         agent_task = asyncio.create_task(agent_run_coro)
-#         webui_manager.bu_current_task = agent_task
-
-#         # Wait for the agent to complete
-#         try:
-#             history = await agent_task
-#             logger.info("Agent task finished.")
-            
-#             # Force close browser and save videos
-#             if webui_manager.bu_browser_context:
-#                 logger.info("Task completed - Saving videos and closing browser...")
-#                 try:
-#                     # Save videos first
-#                     video_paths = await webui_manager.bu_browser_context.save_videos()
-#                     if video_paths:
-#                         for path in video_paths:
-#                             logger.info(f"Video recording saved to: {path}")
-#                     else:
-#                         logger.warning("No video recordings found to save")
-                        
-#                     # Force close everything
-#                     logger.info("Closing browser context after task.")
-#                     await webui_manager.bu_browser_context.close()
-#                     webui_manager.bu_browser_context = None
-                    
-#                     if webui_manager.bu_browser:
-#                         logger.info("Closing browser after task.")
-#                         await webui_manager.bu_browser.close()
-#                         webui_manager.bu_browser = None
-                        
-#                     if webui_manager.bu_playwright:
-#                         logger.info("Closing playwright after task.")
-#                         await webui_manager.bu_playwright.stop()
-#                         webui_manager.bu_playwright = None
-                        
-#                 except Exception as e:
-#                     logger.error(f"Error during cleanup: {e}")
-            
-#             # Save history to file
-#             with open(history_file, "w") as f:
-#                 json.dump(history.dict(), f, indent=2)
-#             logger.info(f"Saved agent history to: {history_file}")
-            
-#             # Initialize final_update at the start
-#             final_update = {
-#                 #chatbot_comp: gr.update(value=webui_manager.bu_chat_history),
-#                 run_button_comp: gr.update(interactive=True),
-#                 stop_button_comp: gr.update(interactive=False),
-#                 #pause_resume_button_comp: gr.update(interactive=False),                     #noneed for this button
-#                 history_file_comp: gr.update(value=history_file),
-#             }
-            
-#             if os.path.exists(gif_path):
-#                 final_update[gif_comp] = gr.update(value=gif_path, visible=True)
-                
-#             yield final_update
-            
-#         except Exception as e:
-#             logger.error(f"Error during agent execution: {e}", exc_info=True)
-#             error_message = (
-#                 f"**Agent Execution Error:**\n```\n{type(e).__name__}: {e}\n```"
-#             )
-#             if not any(
-#                     error_message in msg.get("content", "")
-#                     for msg in webui_manager.bu_chat_history
-#                     if msg.get("role") == "assistant"
-#             ):
-#                 webui_manager.bu_chat_history.append(
-#                     {"role": "assistant", "content": error_message}
-#                 )
-#             #final_update[chatbot_comp] = gr.update(value=webui_manager.bu_chat_history)
-#             yield final_update
-#             gr.Error(f"Agent execution failed: {e}")
-
-#         finally:
-#             # Just clear the current task reference
-#             webui_manager.bu_current_task = None
-
-#     except Exception as e:
-#         # Catch errors during setup (before agent run starts)
-#         logger.error(f"Error setting up agent task: {e}", exc_info=True)
-#         webui_manager.bu_current_task = None  # Ensure state is reset
-        
-#         # Update final_update with error state
-#         final_update.update({
-#             user_input_comp: gr.update(
-#                 interactive=True, placeholder="Error during setup. Enter task..."
-#             ),
-#             run_button_comp: gr.update(value="▶️ Submit Task", interactive=True),
-#             stop_button_comp: gr.update(value="⏹️ Stop", interactive=False),
-#             #pause_resume_button_comp: gr.update(value="⏸️ Pause", interactive=False),            #no need right now for this button
-#             clear_button_comp: gr.update(interactive=True),
-#             # chatbot_comp: gr.update(
-#             #     value=webui_manager.bu_chat_history
-#             #           + [{"role": "assistant", "content": f"**Setup Error:** {e}"}]
-#             # ),
-#         })
-#         yield final_update
-
-
-# --- Button Click Handlers --- (Need access to webui_manager)
 
 
 async def handle_submit(
@@ -1032,12 +369,6 @@ async def handle_stop(webui_manager: WebuiManager):
             webui_manager.get_component_by_id(
                 "browser_use_agent.stop_button"
             ): gr.update(interactive=False, value="⏹️ Stopping...")
-            
-            #Pause/resume functionality is currently disabled and not handled in the agent workflow.
-            
-            # ,webui_manager.get_component_by_id(
-            #     "browser_use_agent.pause_resume_button"
-            # ): gr.update(interactive=False)
             ,
             webui_manager.get_component_by_id(
                 "browser_use_agent.run_button"
@@ -1054,49 +385,13 @@ async def handle_stop(webui_manager: WebuiManager):
                 "browser_use_agent.stop_button"
             ): gr.update(interactive=False),
             
-            #Pause/resume functionality is currently disabled and not handled in the agent workflow.
 
-            # webui_manager.get_component_by_id(
-            #     "browser_use_agent.pause_resume_button"
-            # ): gr.update(interactive=False),
             webui_manager.get_component_by_id(
                 "browser_use_agent.clear_button"
             ): gr.update(interactive=True),
         }
     
 
-# Pause/resume functionality not implemented in agent state machine
-
-
-# async def handle_pause_resume(webui_manager: WebuiManager):
-#     """Handles clicks on the 'Pause/Resume' button."""
-#     agent = webui_manager.bu_agent
-#     task = webui_manager.bu_current_task
-
-#     if agent and task and not task.done():
-#         if agent.state.paused:
-#             logger.info("Resume button clicked.")
-#             agent.resume()
-#             # UI update happens in main loop
-#             return {
-#                 webui_manager.get_component_by_id(
-#                     "browser_use_agent.pause_resume_button"
-#                 ): gr.update(value="⏸️ Pause", interactive=True)
-#             }  # Optimistic update
-#         else:
-#             logger.info("Pause button clicked.")
-#             agent.pause()
-#             return {
-#                 webui_manager.get_component_by_id(
-#                     "browser_use_agent.pause_resume_button"
-#                 ): gr.update(value="▶️ Resume", interactive=True)
-#             }  # Optimistic update
-#     else:
-#         logger.warning(
-#             "Pause/Resume clicked but agent is not running or doesn't support state."
-#         )
-#         return {}  # No change
-
 
 async def handle_clear(webui_manager: WebuiManager):
     """Handles clicks on the 'Clear' button."""
@@ -1155,12 +450,6 @@ async def handle_clear(webui_manager: WebuiManager):
         webui_manager.get_component_by_id("browser_use_agent.stop_button"): gr.update(
             interactive=False),
 
-        #Pause/resume functionality is currently disabled and not handled in the agent workflow.
-
-        # ,
-        # webui_manager.get_component_by_id(
-        #     "browser_use_agent.pause_resume_button"
-        # ): gr.update(value="⏸️ Pause", interactive=False),
         webui_manager.get_component_by_id("browser_use_agent.clear_button"): gr.update(
             interactive=True
         ),
@@ -1307,12 +596,4 @@ async def clear_wrapper() -> AsyncGenerator[Dict[Component, Any], None]:
     )
     stop_button.click(fn=stop_wrapper, inputs=None, outputs=run_tab_outputs)
     
-    clear_button.click(fn=clear_wrapper, inputs=None, outputs=run_tab_outputs)
-
-    #Pause/resume functionality is currently disabled and not handled in the agent workflow.
-
-    # pause_resume_button.click(
-    #     fn=pause_resume_wrapper, inputs=None, outputs=run_tab_outputs
-    # )
-
-
+    clear_button.click(fn=clear_wrapper, inputs=None, outputs=run_tab_outputs)
\ No newline at end of file

From 94886ec08f8a7cc8e1b588f7adbf95cde10091aa Mon Sep 17 00:00:00 2001
From: Mohsin Ali Irfan <mohsin.ali@codeupscale.com>
Date: Mon, 18 Aug 2025 20:28:28 +0500
Subject: [PATCH 38/38] port issue resolved for swagger and got rid of all the
 unused apis

---
 docker-compose.yml             |   8 +-
 src/API/Ai_Testing/services.py |  13 +-
 src/API/Users/current_user.py  |  20 ---
 src/API/Users/dt.py            |  27 ---
 src/API/Users/models.py        |  34 ----
 src/API/Users/routes.py        |  99 ----------
 src/API/Users/schemas.py       |  32 ----
 src/API/Users/services.py      | 319 ---------------------------------
 src/API/core/security.py       | 160 -----------------
 src/API/db/db_connection.py    | 267 ---------------------------
 src/API/main.py                |  91 ++++++----
 src/API/utils/env_loader.py    |  29 ---
 supervisord.conf               |  14 --
 13 files changed, 65 insertions(+), 1048 deletions(-)
 delete mode 100644 src/API/Users/current_user.py
 delete mode 100644 src/API/Users/dt.py
 delete mode 100644 src/API/Users/models.py
 delete mode 100644 src/API/Users/routes.py
 delete mode 100644 src/API/Users/schemas.py
 delete mode 100644 src/API/Users/services.py
 delete mode 100644 src/API/core/security.py
 delete mode 100644 src/API/db/db_connection.py
 delete mode 100644 src/API/utils/env_loader.py

diff --git a/docker-compose.yml b/docker-compose.yml
index 153d6d37..5879125b 100644
--- a/docker-compose.yml
+++ b/docker-compose.yml
@@ -12,6 +12,7 @@ services:
       - "6080:6080"
       - "5901:5901"
       - "9222:9222"
+      - "8000:8000"
     environment:
       # LLM API Keys & Endpoints
       - OPENAI_ENDPOINT=${OPENAI_ENDPOINT:-https://api.openai.com/v1}
@@ -43,13 +44,6 @@ services:
       - ANONYMIZED_TELEMETRY=${ANONYMIZED_TELEMETRY:-false}
       - BROWSER_USE_LOGGING_LEVEL=${BROWSER_USE_LOGGING_LEVEL:-info}
 
-      # # Email Settings (read from .env if present)
-      # - EMAIL_USERNAME=${EMAIL_USERNAME:-}
-      # - EMAIL_PASSWORD=${EMAIL_PASSWORD:-}
-      # - EMAIL_FROM=${EMAIL_FROM:-noreply@example.com}
-      # - SMTP_PORT=${SMTP_PORT:-587}
-      # - SMTP_SERVER=${SMTP_SERVER:-smtp.gmail.com}
-
       # Browser Settings
       - BROWSER_PATH=
       - BROWSER_USER_DATA=
diff --git a/src/API/Ai_Testing/services.py b/src/API/Ai_Testing/services.py
index dfdfbd6c..944cd417 100644
--- a/src/API/Ai_Testing/services.py
+++ b/src/API/Ai_Testing/services.py
@@ -1,8 +1,5 @@
-from fastapi import  HTTPException
+from fastapi import HTTPException
 from src.webui.components.browser_use_agent_tab import run_agent_task
-from ..db.db_connection import get_db
-from ..Users.services import find_user_by_email  
-
 
 manager = None
 
@@ -10,20 +7,17 @@ def set_websocket_manager(ws_manager):
     global manager
     manager = ws_manager
 
-async def run_agent_work(query,url, user):
+async def run_agent_work(query, url, user):
     try:
-        
         print("\n DELETING THE AGENT EXECUTION JSON FILE")
         with open("src/outputdata/agent_execution.json", "w") as file:
             file.write("")
 
-
         async def message_callback(message: str):
             if manager:
                 await manager.send_message(message)
 
-        await run_agent_task(query,url, message_callback=message_callback)
-    
+        await run_agent_task(query, url, message_callback=message_callback)
 
         with open("src/outputdata/agent_execution.json", "r") as file:
             data = file.read()
@@ -35,7 +29,6 @@ async def message_callback(message: str):
             else:
                 print("No data found in the agent_execution.json file")
                 return {"message": "no data found"}
-              
 
     except Exception as e:
         print(f"❌ Agent error: {e}")
diff --git a/src/API/Users/current_user.py b/src/API/Users/current_user.py
deleted file mode 100644
index 2863daf3..00000000
--- a/src/API/Users/current_user.py
+++ /dev/null
@@ -1,20 +0,0 @@
-from fastapi.security import HTTPBearer, HTTPAuthorizationCredentials
-from dotenv import load_dotenv
-import os
-from fastapi import  Depends, HTTPException
-from jose import jwt, JWTError
-from ..utils.env_loader import load_env_from_root
-
-# Load environment variables from the root .env file
-load_env_from_root()
-SECRET_KEY = os.getenv("SECRET_KEY")
-ALGORITHM = os.getenv("ALGORITHM", "HS256")
-security = HTTPBearer()
-#for auth on swagger docs
-def get_current_user(credentials: HTTPAuthorizationCredentials = Depends(security)):
-    token = credentials.credentials
-    try:
-        payload = jwt.decode(token, SECRET_KEY, algorithms=[ALGORITHM])
-        return payload
-    except JWTError:
-        raise HTTPException(status_code=401, detail="Invalid authentication credentials")
\ No newline at end of file
diff --git a/src/API/Users/dt.py b/src/API/Users/dt.py
deleted file mode 100644
index a59302bb..00000000
--- a/src/API/Users/dt.py
+++ /dev/null
@@ -1,27 +0,0 @@
-from datetime import datetime, timezone
-from pydantic import BaseModel
-class DatetimeUtil(BaseModel):
-    created_at: datetime
-    updated_at: datetime
-    def __init__(self):
-        super().__init__(
-            created_at=datetime.now(timezone.utc),
-            updated_at=datetime.now(timezone.utc)
-        )
-
-    def update_timestamp(self, field_name: str) -> datetime:
-        if field_name == "created_at":
-            self.created_at = datetime.now(timezone.utc)
-            return self.created_at
-        elif field_name == "updated_at":
-            self.updated_at = datetime.now(timezone.utc)
-            return self.updated_at
-        else:
-            raise ValueError("Invalid field name. Must be 'created_at' or 'updated_at'.")
-
-    def get_timestamps(self) -> dict:
-        return {
-            "created_at": self.created_at,
-            "updated_at": self.updated_at
-        }
-
diff --git a/src/API/Users/models.py b/src/API/Users/models.py
deleted file mode 100644
index bf93038e..00000000
--- a/src/API/Users/models.py
+++ /dev/null
@@ -1,34 +0,0 @@
-#
-# from beanie import Document
-from pydantic import EmailStr, Field, BaseModel
-from typing import Optional
-from enum import Enum
-from .dt import  DatetimeUtil
-from datetime import datetime , timezone
-
-class UserRole(str, Enum):
-    viewer = "viewer"
-    admin = "admin"
-    qa_engineer = "QA engineer"
-    developer = "developer"
-
-
-class UserStatus(str, Enum):
-    active = "active"
-    inactive = "inactive"
-
-
-#user model for db interaction   
-class UserModel(BaseModel):
-    firstname: str
-    lastname: str
-    email: EmailStr
-    hashed_password: str
-    organization: Optional[str] = None
-    role: UserRole = UserRole.viewer
-    status: UserStatus = UserStatus.active
-    timetrack: DatetimeUtil = Field(default_factory=DatetimeUtil)
-    otp :  Optional[str]
-    otp_created_at: Optional[datetime]
-    
-  
\ No newline at end of file
diff --git a/src/API/Users/routes.py b/src/API/Users/routes.py
deleted file mode 100644
index c7abe1a8..00000000
--- a/src/API/Users/routes.py
+++ /dev/null
@@ -1,99 +0,0 @@
-# Update your existing routes.py - Add these imports and new routes
-
-from fastapi import APIRouter, Depends, HTTPException
-from fastapi.responses import JSONResponse
-from .current_user import get_current_user
-from .schemas import (
-    UserCreate, 
-    UserLogin, 
-    
-    ResetPassword,
-     # New import
-)
-
-
-from fastapi.security import HTTPBearer, HTTPAuthorizationCredentials
-from .services import (
-    create_user,
-    login_user,
-    reset_user_password,
-    forgot_password_otp,
-    update_password_with_otp
-)
-
-import logging
-from jose import jwt, JWTError
-import os
-from dotenv import load_dotenv
-from ..utils.env_loader import load_env_from_root
-
-# Load environment variables from the root .env file
-load_env_from_root()
-SECRET_KEY = os.getenv("SECRET_KEY")
-ALGORITHM = os.getenv("ALGORITHM", "HS256")
-
-security = HTTPBearer()
-
-
-router = APIRouter()
-logger = logging.getLogger("user_routes")
-
-
-
-@router.post("/signup")
-async def signup(user: UserCreate):
-    logger.info(f"Signup attempt for email: {user.email}")
-    new_user = await create_user(user)
-    return { "message": "User Created Successfully", "for": user.email}
-
-@router.post("/login")
-async def login(credentials: UserLogin):
-    logger.info(f"Login attempt for email: {credentials.email}")
-    token = login_user(credentials.email, credentials.password)
-    if not token:
-        raise HTTPException(status_code=401, detail="Invalid email or password")
-    return JSONResponse(content={"access_token": token})
-
-# sends otp to user's email
-@router.post("/forgot-password")
-async def forgot_password(email: str):
-    """Updated to send OTP instead of token"""
-    logger.info(f"Password reset OTP requested for email: {email}")
-    success = await forgot_password_otp(email)
-    if success:
-        return JSONResponse(
-            content={"message": "If your email is registered, you will receive an OTP shortly."},
-            status_code=200
-        )
-    else:
-        raise HTTPException(
-            status_code=500, 
-            detail="Failed to send OTP. Please try again later."
-        )
-
-#for users not logged in
-@router.post("/reset-password-otp")
-async def reset_password_with_otp(email: str, otp: str, new_password1: str, new_password2: str):
-    """Reset password using verified OTP"""
-    logger.info(f"Password reset with OTP requested for email: {email}")
-
-    success = await update_password_with_otp(email, otp, new_password1, new_password2)
-    if success:
-        return JSONResponse(
-            content={"message": "Password reset successful! You can now login with your new password."},
-            status_code=200
-        )
-    else:
-        raise HTTPException(
-            status_code=400, 
-            detail="Invalid or expired OTP, or password reset failed."
-        )
-
-# KEEP your existing reset-password route for backward compatibility
-#for logged in users with no otp
-@router.post("/reset-password", dependencies=[Depends(get_current_user)])
-async def reset_password(data: ResetPassword, current_user: dict = Depends(get_current_user)):
-    """Original token-based password reset - kept for backward compatibility"""
-    logger.info(f"Password reset using token: {data.token}")
-    await reset_user_password(data.token, data.new_password1, data.new_password2)
-    return JSONResponse(content={"message": "Password reset successful."})
diff --git a/src/API/Users/schemas.py b/src/API/Users/schemas.py
deleted file mode 100644
index 331577e5..00000000
--- a/src/API/Users/schemas.py
+++ /dev/null
@@ -1,32 +0,0 @@
-
-
-from pydantic import BaseModel, EmailStr, Field
-from typing import Optional
-from enum import Enum
-from .models import UserRole, UserStatus
-from datetime import datetime
-
-# Schema for user creation
-class UserCreate(BaseModel):
-    firstname: str = Field(..., min_length=1)
-    lastname: str = Field(..., min_length=1)
-    email: EmailStr
-    password: str = Field(..., min_length=6)
-    organization: Optional[str] = None
-    role: UserRole = UserRole.viewer
-    status: UserStatus = UserStatus.active
-
-# schema for user login
-class UserLogin(BaseModel):
-    email: EmailStr
-    password: str
-
-
-#used for /reset-password route
-class ResetPassword(BaseModel):
-    token: str  # Or OTP/token from token
-    new_password1: str = Field(..., min_length=6)
-    new_password2: str = Field(..., min_length=6)
-
-
-  # Optional timestamp for OTP creation
diff --git a/src/API/Users/services.py b/src/API/Users/services.py
deleted file mode 100644
index 21026475..00000000
--- a/src/API/Users/services.py
+++ /dev/null
@@ -1,319 +0,0 @@
-from passlib.context import CryptContext
-from typing import Optional
-from fastapi import HTTPException, status
-from jose import jwt, JWTError
-from datetime import datetime, timedelta, timezone
-import logging
-import os
-from .models import UserModel 
-from .schemas import UserCreate
-from dotenv import load_dotenv
-from ..db.db_connection import get_db, close_db
-from ..core.security import validate_password_strength, verify_reset_token, send_password_reset_otp, verify_password_reset_otp
-from ..utils.env_loader import load_env_from_root
-
-# Load environment variables from the root .env file
-load_env_from_root()
-
-# Configuration constants loaded from environment variables
-SECRET_KEY = os.getenv("SECRET_KEY")
-ALGORITHM = os.getenv("ALGORITHM", "HS256")  # Default to HS256 if not specified
-RESET_TOKEN_EXPIRE_MINUTES = int(os.getenv("RESET_TOKEN_EXPIRE_MINUTES", "300"))  # Default 5 hours
-
-# Logger setup for tracking user service operations
-logger = logging.getLogger("user_service")
-logging.basicConfig(level=logging.INFO)
-
-# Password hashing context using bcrypt algorithm
-pwd_context = CryptContext(schemes=["bcrypt"], deprecated="auto")
-
-# Secret key for reset tokens (you should store this securely
-
-
-def login_user(email: str, password: str) -> Optional[dict]:
-    # Authenticate user login and generate JWT access token
-    # Args: email (str): User's email address, password (str): Plain text password
-    # Returns: Optional[dict]: Dictionary containing access token info or None if authentication fails
-    logger.info(f"Authenticating user with email: {email}")
-
-    # Establish database connection
-    db = get_db()
-    if db is None:
-        logger.error("Database connection failed.")
-        raise HTTPException(status_code=500, detail="Database connection error")
-
-    # Search for user in database by email
-    logger.info(f"Searching for user in database with email: {email}")
-    print("\n\n EMAIL:" , email)
-        
-    try:
-        user = db["users"].find_one({"email": email})
-        print("\n SUCCESS: ", user)
-    except Exception as e:
-        print("\n\n FOLLOWING ERRRE OCCURED:", e)
-
-    # Verify user exists and password is correct
-    if not user or not verify_password(password, user["hashed_password"]):
-        logger.warning(f"Authentication failed for email: {email}")
-        return None
-
-    # Generate JWT token with expiration time
-    logger.info(f"Authentication successful for {email}, generating JWT token")
-    expire = datetime.now(timezone.utc) + timedelta(minutes=RESET_TOKEN_EXPIRE_MINUTES)
-    payload = {"sub": user["email"], "exp": expire}
-    token = jwt.encode(payload, SECRET_KEY, algorithm=ALGORITHM)
-
-    logger.info(f"JWT token generated successfully for {email}")
-    return {"access_token": token, "token_type": "bearer", "email": user["email"]}
-
-
-def hash_password(password: str) -> str:
-    # Hash a plain text password using bcrypt
-    # Args: password (str): Plain text password to hash
-    # Returns: str: Hashed password
-    logger.info("Hashing password.")
-    hashed_pw = pwd_context.hash(password)
-    logger.info("Password hashed successfully")
-    return hashed_pw
-
-
-def verify_password(plain_password: str, hashed_password: str) -> bool:
-    # Verify a plain text password against a hashed password
-    # Args: plain_password (str): Plain text password to verify, hashed_password (str): Stored hashed password
-    # Returns: bool: True if password matches, False otherwise
-    logger.info("Verifying password.")
-    is_valid = pwd_context.verify(plain_password, hashed_password)
-    logger.info(f"Password verification result: {is_valid}")
-    return is_valid
-
-
-async def create_user(user: UserCreate) -> UserModel:
-    # Create a new user account in the system
-    # Args: user (UserCreate): User creation data schema
-    # Returns: UserModel: Created user model or raises HTTPException
-    logger.info(f"Creating user with email: {user.email}")
-    
-    # Establish database connection
-    db = get_db()
-    print(f"Database connection: {db}")
-    if db is None:
-        logger.error("Database connection failed.")
-        raise HTTPException(status_code=500, detail="Database connection error")
-    
-    # Check if user already exists with this email
-    logger.info(f"Checking if user already exists with email: {user.email}")
-    existing = db["users"].find_one({"email": user.email})
-    
-    if existing:
-        logger.warning(f"Email already registered: {user.email}")
-        raise HTTPException(status_code=400, detail="Email already registered")
-    
-    # Validate password strength before proceeding
-    logger.info(f"Validating password strength for user: {user.email}")
-    validate_password_strength(user.password)
-    logger.info("Password strength validation passed")
-    
-    # Hash the password for secure storage
-    logger.info("Hashing user password")
-    hashed_pw = hash_password(user.password)
-    
-    # Create new user model instance
-    logger.info(f"Creating UserModel instance for {user.email}")
-    new_user = UserModel(
-        firstname=user.firstname,
-        lastname=user.lastname,
-        email=user.email,
-        hashed_password=hashed_pw,
-        organization=user.organization,
-        role=user.role,
-        status=user.status,
-    )
-    
-    # Insert the user dictionary into MongoDB
-    logger.info(f"Inserting new user into database: {user.email}")
-    db["users"].insert_one(new_user.dict())
-    logger.info(f"User created successfully: {user.email}")
-    return True
-
-
-def generate_reset_token(email: str) -> str:
-    # Generate a JWT token for password reset functionality
-    # Args: email (str): User's email address
-    # Returns: str: JWT reset token
-    logger.info(f"Generating reset token for: {email}")
-    
-    # Set token expiration time
-    expire = datetime.now(timezone.utc) + timedelta(minutes=RESET_TOKEN_EXPIRE_MINUTES)
-    logger.info(f"Reset token will expire at: {expire}")
-    
-    # Create JWT payload with email and expiration
-    payload = {"sub": email, "exp": expire}
-    token = jwt.encode(payload, SECRET_KEY, algorithm=ALGORITHM)
-    
-    logger.info(f"Reset token generated successfully for: {email}")
-    return token
-
-
-def find_user_by_email(email: str) -> Optional[dict]:
-    # Find user by email in MongoDB users collection
-    # Args: email (str): User's email address
-    # Returns: Optional[dict]: User document or None if not found
-    logger.info(f"Searching for user by email: {email}")
-    
-    # Establish database connection
-    db = get_db()
-    if db is None:
-        logger.error("Database connection failed")
-        return None
-    
-    # Search for user in database
-    user = db["users"].find_one({"email": email})
-    
-    if user:
-        logger.info(f"User found with email: {email}")
-    else:
-        logger.warning(f"No user found with email: {email}")
-    
-    return user
-
-
-async def reset_user_password(token: str, new_password1: str, new_password2: str) -> bool:
-    # Reset user password using a JWT reset token
-    # Args: token (str): JWT reset token, new_password1 (str): New password, new_password2 (str): New password confirmation
-    # Returns: bool: True if password reset successful, raises HTTPException otherwise
-    logger.info(f"Resetting password using token: {token}")
-    
-    # Verify the reset token and extract email
-    logger.info("Verifying reset token")
-    email = verify_reset_token(token)
-    if not email:
-        logger.error("Invalid or expired token")
-        raise HTTPException(status_code=400, detail="Invalid or expired token")
-    
-    logger.info(f"Reset token verified successfully for email: {email}")
-    
-    # Validate new password strength
-    logger.info("Validating new password strength")
-    validate_password_strength(new_password1)
-    
-    # Ensure both password fields match
-    if new_password1 != new_password2:
-        logger.error("New passwords do not match")
-        raise HTTPException(status_code=400, detail="New passwords do not match")
-    
-    logger.info("New passwords match, proceeding with reset")
-
-    # Hash the new password
-    logger.info("Hashing new password")
-    hashed_password = hash_password(new_password1)
-    
-    # Establish database connection
-    db = get_db()
-    if db is None:
-        logger.error("Database connection failed")
-        raise HTTPException(status_code=500, detail="Database connection error")
-    
-    # Update the user's password in the database
-    logger.info(f"Updating password in database for email: {email}")
-    result = db["users"].update_one(
-        {"email": email},
-        {"$set": {"hashed_password": hashed_password}}
-    )
-    
-    # Check if update was successful
-    if result.modified_count == 0:
-        logger.error(f"Failed to reset password for {email}")
-        return False
-    
-    logger.info(f"Password reset successful for {email}")
-    return True
-
- 
-async def forgot_password_otp(email: str) -> bool:
-    # Send password reset OTP to user's email
-    # Args: email (str): User's email address
-    # Returns: bool: True if OTP sent successfully, False if user not found
-    logger.info(f"Sending password reset OTP to: {email}")
-    
-    # Establish database connection
-    db = get_db()
-    if db is None:
-        logger.error("Database connection failed")
-        raise HTTPException(status_code=500, detail="Database connection error")
-    
-    # Verify user exists in database
-    logger.info(f"Verifying user exists with email: {email}")
-    user = db["users"].find_one({"email": email})
-    
-    if not user:
-        logger.warning(f"No user found with email: {email}")
-        return False
-    
-    logger.info(f"User found, generating OTP for: {email}")
-    
-    # Generate and send OTP via security module
-    otp = await send_password_reset_otp(email)
-    
-    # Here you would send the OTP via email (not implemented in this example)
-    # send_email(user.email, "Your OTP", f"Your OTP is: {otp}")
-    
-    logger.info(f"OTP sent to {email}: {otp}")
-    return True
-
-
-async def update_password_with_otp(email: str, otp: str, new_password1: str, new_password2: str) -> bool:
-    # Reset password using OTP verification
-    # Args: email (str): User's email address, otp (str): One-time password received by user
-    # new_password1 (str): New password, new_password2 (str): New password confirmation
-    # Returns: bool: True if password updated successfully, raises HTTPException otherwise
-    logger.info(f"Updating password for {email} using OTP")
-    
-    # Establish database connection
-    db = get_db()
-    if db is None:
-        logger.error("Database connection failed")
-        raise HTTPException(status_code=500, detail="Database connection error")
-    
-    # Verify user exists in database
-    logger.info(f"Verifying user exists with email: {email}")
-    user = db["users"].find_one({"email": email})
-    
-    if not user:
-        logger.warning(f"No user found with email: {email}")
-        raise HTTPException(status_code=404, detail="User not found")
-    
-    # Verify the OTP is valid
-    logger.info(f"Verifying OTP for email: {email}")
-    verify_password_reset_otp(email, otp)
-    logger.info("OTP verification successful")
-    
-    # Validate new password strength
-    logger.info("Validating new password strength")
-    await validate_password_strength(new_password1)
-    
-    # Ensure both password fields match
-    if new_password1 != new_password2:
-        logger.error("New passwords do not match")
-        raise HTTPException(status_code=400, detail="New passwords do not match")
-    
-    logger.info("New passwords match, proceeding with update")
-    
-    # Hash the new password
-    logger.info("Hashing new password")
-    hashed_password = hash_password(new_password1)
-    logger.info(f"New password hashed for {email}")
-    
-    # Update the user's password in the database and clear OTP
-    logger.info(f"Updating password in database for email: {email}")
-    result = db["users"].update_one(
-        {"email": email},
-        {"$set": {"hashed_password": hashed_password, "otp": None}}  # Clear OTP after use
-    )
-    
-    # Check if update was successful
-    if result.modified_count == 0:
-        logger.error(f"Failed to update password for {email}")
-        return False
-    
-    logger.info(f"Password updated successfully for {email}")
-    return True
\ No newline at end of file
diff --git a/src/API/core/security.py b/src/API/core/security.py
deleted file mode 100644
index 650ac6cc..00000000
--- a/src/API/core/security.py
+++ /dev/null
@@ -1,160 +0,0 @@
-
-from typing import Optional
-from fastapi import HTTPException
-from jose import jwt, JWTError
-from random import randint
-import logging
-from datetime import datetime, timezone
-from ..db.db_connection import get_db, close_db
-from ..Users.models import UserModel
-import re, os
-from fastapi import HTTPException
-from dotenv import load_dotenv
-from ..utils.env_loader import load_env_from_root
-
-from fastapi_mail import FastMail, MessageSchema, ConnectionConfig, MessageType
-
-
-from dateutil import parser
-# Load environment variables from the root .env file
-load_env_from_root()
-SECRET_KEY = os.getenv("SECRET_KEY")
-ALGORITHM = os.getenv("ALGORITHM", "HS256")
-RESET_TOKEN_EXPIRE_MINUTES = int(os.getenv("RESET_TOKEN_EXPIRE_MINUTES", "300"))
-EMAIL_USERNAME = os.getenv("EMAIL_USERNAME")
-EMAIL_PASSWORD = os.getenv("EMAIL_PASSWORD")
-EMAIL_FROM = os.getenv("EMAIL_FROM", "noreply@example.com")
-EMAIL_PORT = int(os.getenv("SMTP_PORT", "587"))
-EMAIL_SERVER = os.getenv("SMTP_SERVER", "smtp.gmail.com")
-
-# Only create ConnectionConfig if email credentials are available
-conf = None
-if EMAIL_USERNAME and EMAIL_PASSWORD:
-    conf = ConnectionConfig(
-        MAIL_USERNAME=EMAIL_USERNAME,
-        MAIL_PASSWORD=EMAIL_PASSWORD,
-        MAIL_FROM=EMAIL_FROM,
-        MAIL_PORT=EMAIL_PORT,
-        MAIL_SERVER=EMAIL_SERVER,
-        USE_CREDENTIALS=True,
-        MAIL_STARTTLS=True,
-        MAIL_SSL_TLS=False,
-    )
-# Logger setup
-logger = logging.getLogger("security")
-logging.basicConfig(level=logging.INFO)
-
-
-def verify_reset_token(token: str) -> str:
-    logger.info("Verifying reset token.")
-    try:
-        payload = jwt.decode(token, SECRET_KEY, algorithms=[ALGORITHM])
-        email: str = payload.get("sub")
-        if email is None:
-            raise HTTPException(status_code=400, detail="Invalid token")
-        return email
-    except JWTError:
-        raise HTTPException(status_code=400, detail="Invalid or expired token")
-
-async def validate_password_strength(password: str) -> None:
-    logger.info("Validating password strength.")
-
-    if len(password) < 8:
-        raise HTTPException(status_code=400, detail="Password must be at least 8 characters long.")
-    if not re.search(r"[A-Z]", password):
-        raise HTTPException(status_code=400, detail="Password must contain at least one uppercase letter.")
-    if not re.search(r"[a-z]", password):
-        raise HTTPException(status_code=400, detail="Password must contain at least one lowercase letter.")
-    if not re.search(r"[0-9]", password):
-        raise HTTPException(status_code=400, detail="Password must contain at least one number.")
-    if not re.search(r"[!@#$%^&*(),.?\":{}|<>]", password):
-        raise HTTPException(status_code=400, detail="Password must contain at least one special character.")
-
-#==========OTP============
-def verify_password_reset_otp(email: str, otp: str) -> bool:
-    """Verify the 6-digit OTP sent to user's email"""
-    logger.info(f"Verifying OTP for email: {email}")
-    
-    db = get_db()
-    if db is None:
-        logger.error("Database connection failed")
-        raise HTTPException(status_code=500, detail="Database connection error")
-    
-    user = db["users"].find_one({"email": email})
-    
-    if not user:
-        logger.warning(f"No user found with email: {email}")
-        logger.error("User not found")
-        raise HTTPException(status_code=404, detail="User not found")
-       
-    if str(user.get("otp")) != otp:
-        logger.warning(f"Invalid OTP for email: {email}")
-        logger.error("Invalid OTP provided")
-        raise HTTPException(status_code=400, detail="Invalid OTP")
-    otp_created_at = user.get("otp_created_at")
-    # Check if OTP is expired (e.g., older than 5 minutes)
-    if isinstance(otp_created_at, str):
-        otp_created_at = parser.isoparse(otp_created_at)
-    elif otp_created_at and otp_created_at.tzinfo is None:
-        otp_created_at = otp_created_at.replace(tzinfo=timezone.utc)
-
-    # Now safe to compare
-    if otp_created_at and (datetime.now(timezone.utc) - otp_created_at).total_seconds() > 300:
-        logger.warning(f"OTP expired for email: {email}")
-        raise HTTPException(status_code=400, detail="OTP expired")
-    
-    logger.info(f"OTP verified successfully for email: {email}")
-    return True
-def generate_otp(email: str) -> str:
-    """Generate a 6-digit OTP for password reset"""
-    logger.info(f"Generating OTP for email: {email}")
-    generated_otp = randint(100000, 999999)
-    # otp = OTP()
-    
-    # otp.otp = str(rand)
-    # otp.created_at = datetime.now(timezone.utc)
-    
-    
-    
-    # Store OTP in the database
-    logger.info(f"Storing OTP for email: {email}")
-    db = get_db()
-    if db is None:
-        logger.error("Database connection failed")
-        raise HTTPException(status_code=500, detail="Database connection error")
-    
-    db["users"].update_one(
-        {"email": email},
-        {"$set": {"otp": generated_otp, "otp_created_at": datetime.now(timezone.utc)}},
-        upsert=True
-    )
-    
-    return generated_otp
-
-async def send_password_reset_otp(email: str) -> bool:
-    """Send OTP to user's email for password reset"""
-    logger.info(f"Sending OTP to email: {email}, Configuring FastMail to send OTP to {email}, from {EMAIL_FROM}, with {EMAIL_USERNAME}")
-    
-    otp = generate_otp(email)
-    
-    # Configure FastMail for sending emails
-   
-    message = MessageSchema(
-        subject="Password Reset OTP",
-        recipients=[email],
-        body=f"Your OTP for password reset is: {otp}",
-        subtype=MessageType.plain
-    )
-    
-    print("\n\n\n\n, ", email, " type:", type(email))
-    
-    try:
-        
-        print("\n\n CONFIG: ", conf)
-        fm = FastMail(conf)
-        await fm.send_message(message)
-        logger.info(f"OTP sent to {email}: {otp}")
-        return True
-    except Exception as e:
-        logger.error(f"Failed to send OTP to {email}: {e}")
-        raise HTTPException(status_code=500, detail="Failed to send OTP")
diff --git a/src/API/db/db_connection.py b/src/API/db/db_connection.py
deleted file mode 100644
index 4839a5ed..00000000
--- a/src/API/db/db_connection.py
+++ /dev/null
@@ -1,267 +0,0 @@
-from pymongo import MongoClient
-from pymongo.database import Database
-from motor.motor_asyncio import AsyncIOMotorClient
-from fastapi import HTTPException
-import logging
-from dotenv import load_dotenv
-import os
-from ..utils.env_loader import load_env_from_root
-
-# Logger setup
-logger = logging.getLogger("db_connection")
-
-# Load environment variables from the root .env file
-load_env_from_root()
-
-# MongoDB connection settings
-SECRET_KEY = os.getenv("SECRET_KEY")
-ALGORITHM = os.getenv("ALGORITHM", "HS256")
-RESET_TOKEN_EXPIRE_MINUTES = int(os.getenv("RESET_TOKEN_EXPIRE_MINUTES", "300"))
-MONGO_URL = os.getenv("MONGO_URI") or os.getenv("MONGODB_URI")
-logger.info(f"THIS IS THE MONGO_URL: {MONGO_URL}")
-MONGO_DB_NAME = os.getenv("MONGO_DB_NAME") or os.getenv("DB_NAME", "nextsqa_db")
-logger.info(f"THIS IS THE MONGO_DB_NAME: {MONGO_DB_NAME}")
-
-# Global client instances (for reuse)
-_sync_client = None
-_async_client = None
-
-def get_db() -> Database:
-    """
-    Get a MongoDB database connection (synchronous).
-    """
-    global _sync_client
-    try:
-        logger.info(f"THIS IS THE MONGO_URL: {MONGO_URL}")
-        if not MONGO_URL:
-            logger.error("MongoDB connection string not configured")
-            raise HTTPException(status_code=500, detail="Database not configured")
-            
-        if _sync_client is None:
-            logger.info(f"Connecting to MongoDB: {MONGO_URL[:50]}...")
-            _sync_client = MongoClient(MONGO_URL)
-            
-        logger.info(f"THIS IS THE MONGO_DB_NAME: {MONGO_DB_NAME}")
-        db = _sync_client[MONGO_DB_NAME]
-        logger.info("Database connection established.")
-        return db
-    except Exception as e:
-        logger.error(f"Database connection error: {e}")
-        raise HTTPException(status_code=500, detail="Database connection error")
-
-async def get_async_db():
-    """
-    Get a MongoDB database connection (asynchronous).
-    """
-    global _async_client
-    try:
-        if not MONGO_URL:
-            logger.error("MongoDB connection string not configured")
-            raise HTTPException(status_code=500, detail="Database not configured")
-            
-        if _async_client is None:
-            logger.info(f"Connecting to MongoDB (async): {MONGO_URL[:50]}...")
-            _async_client = AsyncIOMotorClient(MONGO_URL)
-            
-        db = [MONGO_DB_NAME]
-        logger.info("Async database connection established.")
-        return db
-    except Exception as e:
-        logger.error(f"Async database connection error: {e}")
-        raise HTTPException(status_code=500, detail="Database connection error")
-
-def close_db(db: Database = None):
-    """
-    Close the MongoDB database connection (synchronous).
-    """
-    global _sync_client
-    try:
-        if db and hasattr(db, 'client'):
-            db.client.close()
-        elif _sync_client:
-            _sync_client.close()
-            _sync_client = None
-        logger.info("Database connection closed.")
-    except Exception as e:
-        logger.error(f"Error closing database connection: {e}")
-        raise HTTPException(status_code=500, detail="Error closing database connection")
-
-async def close_async_db():
-    """
-    Close the MongoDB database connection (asynchronous).
-    """
-    global _async_client
-    try:
-        if _async_client:
-            _async_client.close()
-            _async_client = None
-        logger.info("Async database connection closed.")
-    except Exception as e:
-        logger.error(f"Error closing async database connection: {e}")
-
-def check_db_health() -> dict:
-    """
-    Check database health and connectivity.
-    Returns detailed health information.
-    """
-    health_info = {
-        "healthy": False,
-        "database": "unknown",
-        "connection_string": "not_configured",
-        "database_name": MONGO_DB_NAME,
-        "error": None,
-        "server_info": None,
-        "collections_count": None
-    }
-    
-    try:
-        # Check if connection string is configured
-        if not MONGO_URL:
-            health_info.update({
-                "error": "MongoDB connection string not configured",
-                "connection_string": "missing"
-            })
-            logger.warning("MongoDB health check failed: No connection string")
-            return health_info
-            
-        # Mask sensitive parts of connection string for logging
-        masked_url = MONGO_URL[:50] + "..." if len(MONGO_URL) > 50 else MONGO_URL
-        health_info["connection_string"] = "configured"
-        
-        # Test connection
-        client = MongoClient(MONGO_URL, serverSelectionTimeoutMS=5000)  # 5 second timeout
-        
-        # Ping the database
-        client.admin.command('ping')
-        logger.info("MongoDB ping successful")
-        
-        # Get database
-        db = client[MONGO_DB_NAME]
-        
-        # Get server info
-        server_info = client.server_info()
-        health_info["server_info"] = {
-            "version": server_info.get("version"),
-            "git_version": server_info.get("gitVersion"),
-            "platform": server_info.get("platform")
-        }
-        
-        # Count collections
-        collections = db.list_collection_names()
-        health_info["collections_count"] = len(collections)
-        
-        # Test a simple operation
-        db.admin.command('serverStatus')
-        
-        health_info.update({
-            "healthy": True,
-            "database": "connected",
-            "message": "Database is healthy and responsive"
-        })
-        
-        logger.info(f"MongoDB health check passed. Collections: {len(collections)}")
-        
-        # Close the test connection
-        client.close()
-        
-    except Exception as e:
-        error_msg = str(e)
-        health_info.update({
-            "healthy": False,
-            "database": "error",
-            "error": error_msg
-        })
-        logger.error(f"MongoDB health check failed: {error_msg}")
-    
-    return health_info
-
-async def check_async_db_health() -> dict:
-    """
-    Check database health asynchronously.
-    """
-    health_info = {
-        "healthy": False,
-        "database": "unknown",
-        "connection_string": "not_configured",
-        "database_name": MONGO_DB_NAME,
-        "error": None,
-        "server_info": None,
-        "collections_count": None
-    }
-    
-    try:
-        if not MONGO_URL:
-            health_info.update({
-                "error": "MongoDB connection string not configured",
-                "connection_string": "missing"
-            })
-            return health_info
-            
-        health_info["connection_string"] = "configured"
-        
-        # Test async connection
-        client = AsyncIOMotorClient(MONGO_URL, serverSelectionTimeoutMS=5000)
-        
-        # Ping the database
-        await client.admin.command('ping')
-        logger.info("MongoDB async ping successful")
-        
-        # Get database
-        db = client[MONGO_DB_NAME]
-        
-        # Get server info
-        server_info = await client.admin.command('serverStatus')
-        health_info["server_info"] = {
-            "version": server_info.get("version"),
-            "host": server_info.get("host"),
-            "uptime": server_info.get("uptime")
-        }
-        
-        # Count collections
-        collections = await db.list_collection_names()
-        health_info["collections_count"] = len(collections)
-        
-        health_info.update({
-            "healthy": True,
-            "database": "connected",
-            "message": "Async database is healthy and responsive"
-        })
-        
-        logger.info(f"MongoDB async health check passed. Collections: {len(collections)}")
-        
-        # Close the test connection
-        client.close()
-        
-    except Exception as e:
-        error_msg = str(e)
-        health_info.update({
-            "healthy": False,
-            "database": "error",
-            "error": error_msg
-        })
-        logger.error(f"MongoDB async health check failed: {error_msg}")
-    
-    return health_info
-
-# Utility functions for connection info
-def get_connection_info() -> dict:
-    """Get MongoDB connection information (without sensitive data)"""
-    return {
-        "database_name": MONGO_DB_NAME,
-        "connection_configured": bool(MONGO_URL),
-        "connection_type": "MongoDB Atlas" if "mongodb.net" in (MONGO_URL or "") else "MongoDB",
-    }
-
-def test_database_operation() -> bool:
-    """Test a basic database operation"""
-    try:
-        db = get_db()
-        # Test inserting and removing a test document
-        test_collection = db.test_health_check
-        result = test_collection.insert_one({"test": "health_check", "timestamp": "now"})
-        test_collection.delete_one({"_id": result.inserted_id})
-        logger.info("Database operation test successful")
-        return True
-    except Exception as e:
-        logger.error(f"Database operation test failed: {e}")
-        return False
\ No newline at end of file
diff --git a/src/API/main.py b/src/API/main.py
index 17a1fd7f..023d8cbe 100644
--- a/src/API/main.py
+++ b/src/API/main.py
@@ -8,7 +8,6 @@
 
 # Import API routers
 from .Ai_Testing.routes import router as ai_testing_router
-from .Users.routes import router as users_router
 from src.websocket.websocket_manager import WebSocketManager
 
 # Create FastAPI app
@@ -42,7 +41,6 @@
 
 # Include API routers
 app.include_router(ai_testing_router, prefix="/agent-api", tags=["AI Testing"])
-app.include_router(users_router, prefix="/users", tags=["Users"])
 
 # WebSocket endpoint
 @app.websocket("/ws")
@@ -59,49 +57,83 @@ async def websocket_endpoint(websocket: WebSocket):
 async def health_check():
     return {"status": "healthy", "service": "browser-use-ai-agent"}
 
-# Root endpoint that serves the custom HTML interface
+# Root endpoint that serves different content based on port
 @app.get("/", response_class=HTMLResponse)
-async def root():
-    index_path = static_path / "index.html"
-    if index_path.exists():
-        return FileResponse(str(index_path))
-    else:
+async def root(request: Request):
+    # Get the port from the request
+    port = request.url.port
+    
+    # If running on port 8000, redirect to Swagger docs
+    if port == 8000:
         return """
         <!DOCTYPE html>
         <html>
         <head>
-            <title>Browser Use AI Agent</title>
+            <title>Browser Use AI Agent - API Documentation</title>
+            <meta http-equiv="refresh" content="0; url=/docs">
             <style>
-                body { font-family: Arial, sans-serif; margin: 40px; }
+                body { font-family: Arial, sans-serif; margin: 40px; text-align: center; }
                 .container { max-width: 800px; margin: 0 auto; }
                 .button { display: inline-block; padding: 12px 24px; margin: 10px; 
-                         background-color: #007bff; color: white; text-decoration: none; 
+                         background-color: #28a745; color: white; text-decoration: none; 
                          border-radius: 5px; }
-                .button:hover { background-color: #0056b3; }
-                .api-button { background-color: #28a745; }
-                .api-button:hover { background-color: #1e7e34; }
+                .button:hover { background-color: #1e7e34; }
             </style>
         </head>
         <body>
             <div class="container">
-                <h1>🚀 Browser Use AI Agent</h1>
-                <p>Welcome to the Browser Use AI Agent platform. Choose your interface:</p>
-                
-                <div>
-                    <a href="http://localhost:7788" class="button">🎨 Web UI (Port 7788)</a>
-                    <a href="http://localhost:8000/docs" class="button api-button">📚 API Documentation (Port 8000)</a>
-                </div>
-                
-                <h2>Available Services:</h2>
-                <ul>
-                    <li><strong>Web UI:</strong> Interactive HTML interface for browser automation</li>
-                    <li><strong>API:</strong> RESTful API endpoints for programmatic access</li>
-                    <li><strong>Swagger Docs:</strong> Interactive API documentation</li>
-                </ul>
+                <h1>🚀 Browser Use AI Agent - API Documentation</h1>
+                <p>Redirecting to Swagger documentation...</p>
+                <a href="/docs" class="button">📚 Go to Swagger Docs</a>
+                <a href="/redoc" class="button">📖 Go to ReDoc</a>
+                <p><small>If you're not redirected automatically, click the links above.</small></p>
             </div>
         </body>
         </html>
         """
+    
+    # For port 7788, serve the browser testing interface
+    else:
+        index_path = static_path / "index.html"
+        if index_path.exists():
+            return FileResponse(str(index_path))
+        else:
+            return """
+            <!DOCTYPE html>
+            <html>
+            <head>
+                <title>Browser Use AI Agent</title>
+                <style>
+                    body { font-family: Arial, sans-serif; margin: 40px; }
+                    .container { max-width: 800px; margin: 0 auto; }
+                    .button { display: inline-block; padding: 12px 24px; margin: 10px; 
+                             background-color: #007bff; color: white; text-decoration: none; 
+                             border-radius: 5px; }
+                    .button:hover { background-color: #0056b3; }
+                    .api-button { background-color: #28a745; }
+                    .api-button:hover { background-color: #1e7e34; }
+                </style>
+            </head>
+            <body>
+                <div class="container">
+                    <h1>🚀 Browser Use AI Agent</h1>
+                    <p>Welcome to the Browser Use AI Agent platform. Choose your interface:</p>
+                    
+                    <div>
+                        <a href="http://localhost:7788" class="button">🎨 Web UI (Port 7788)</a>
+                        <a href="http://localhost:8000/docs" class="button api-button">📚 API Documentation (Port 8000)</a>
+                    </div>
+                    
+                    <h2>Available Services:</h2>
+                    <ul>
+                        <li><strong>Web UI:</strong> Interactive HTML interface for browser automation</li>
+                        <li><strong>API:</strong> RESTful API endpoints for programmatic access</li>
+                        <li><strong>Swagger Docs:</strong> Interactive API documentation</li>
+                    </ul>
+                </div>
+            </body>
+            </html>
+            """
 
 # API info endpoint
 @app.get("/api/info")
@@ -114,8 +146,7 @@ async def api_info():
             "ui": "http://localhost:7788",
             "api_docs": "http://localhost:7788/docs",
             "health": "http://localhost:7788/health",
-            "ai_testing": "http://localhost:7788/agent-api",
-            "users": "http://localhost:7788/users"
+            "ai_testing": "http://localhost:7788/agent-api"
         }
     }
 
diff --git a/src/API/utils/env_loader.py b/src/API/utils/env_loader.py
deleted file mode 100644
index 92836dc4..00000000
--- a/src/API/utils/env_loader.py
+++ /dev/null
@@ -1,29 +0,0 @@
-import os
-from dotenv import load_dotenv
-
-def load_env_from_root():
-    """
-    Load environment variables from the root .env file.
-    This function calculates the path to the root .env file relative to the current file location.
-    """
-    # Get the current file's directory
-    current_dir = os.path.dirname(__file__)
-    
-    # Navigate to the root directory (browser-use-web-ui)
-    # From src/API/utils/ -> src/API/ -> src/ -> root
-    root_dir = os.path.join(current_dir, '..', '..', '..')
-    
-    # Prefer .env mounted at /app/.env inside the container
-    env_path = '/app/.env'
-    if not os.path.exists(env_path):
-        # Fallback to local root .env for non-docker runs
-        env_path = os.path.join(root_dir, '.env')
-    
-    # Debug: Print the calculated path
-    print(f"Loading .env from: {env_path}")
-    print(f"File exists: {os.path.exists(env_path)}")
-    
-    # Load the environment variables
-    load_dotenv(env_path)
-    
-    return env_path 
\ No newline at end of file
diff --git a/supervisord.conf b/supervisord.conf
index e08079d0..02f3423a 100644
--- a/supervisord.conf
+++ b/supervisord.conf
@@ -79,20 +79,6 @@ startsecs=3
 stopsignal=TERM
 stopwaitsecs=10
 
-# [program:webui]
-# command=python webui.py --ip 0.0.0.0 --port 7788
-# directory=/app
-# autorestart=true
-# stdout_logfile=/dev/stdout
-# stdout_logfile_maxbytes=0
-# stderr_logfile=/dev/stderr
-# stderr_logfile_maxbytes=0
-# priority=500
-# startretries=3
-# startsecs=3
-# stopsignal=TERM
-# stopwaitsecs=10
-
 
 [program:fastapi_7788]
 command=uvicorn src.API.main:app --host 0.0.0.0 --port 7788