Merge pull request #84 from Grigorij-Dudnik/dev

Release 0.4.2

Author: Grigorij-Dudnik

src/utilities/llms.py

@@ -35,18 +35,19 @@ def llm_open_local_hosted(model):
 
 def init_llms_medium_intelligence(tools=None, run_name="Clean Coder", temp=0):
     llms = []
-    if getenv("ANTHROPIC_API_KEY"):
-        llms.append(ChatAnthropic(model="claude-sonnet-4-20250514", temperature=temp, timeout=90))
-
     if getenv("OPENROUTER_API_KEY"):
-        llms.append(llm_open_router("anthropic/claude-4-sonnet"))
-    if getenv("OPENAI_API_KEY"):
-        llms.append(ChatOpenAI(model="gpt-4.1", temperature=temp, timeout=90))
+        llms.append(llm_open_router("anthropic/claude-sonnet-4"))
+    if getenv("OPENROUTER_API_KEY"):
+        llms.append(llm_open_router("openai/gpt-4.1"))
 
     if getenv("OLLAMA_MODEL"):
         llms.append(ChatOllama(model=os.getenv("OLLAMA_MODEL")))
     if getenv("LOCAL_MODEL_API_BASE"):
         llms.append(llm_open_local_hosted(getenv("LOCAL_MODEL_NAME")))
+
+    if getenv("OPENAI_API_KEY"):
+        llms.append(ChatOpenAI(model="gpt-4.1", temperature=temp, timeout=90))
+
     for i, llm in enumerate(llms):
         if tools:
             llm = llm.bind_tools(tools)
@@ -56,18 +57,19 @@ def init_llms_medium_intelligence(tools=None, run_name="Clean Coder", temp=0):
 
 def init_llms_mini(tools=None, run_name="Clean Coder", temp=0):
     llms = []
-    if os.getenv("ANTHROPIC_API_KEY"):
-        llms.append(ChatAnthropic(model="claude-3-5-haiku-20241022", temperature=temp, timeout=90))
     if os.getenv("OPENROUTER_API_KEY"):
         llms.append(llm_open_router("anthropic/claude-3.5-haiku"))
-    if os.getenv("OPENAI_API_KEY"):
-        llms.append(ChatOpenAI(model="gpt-4.1-mini", temperature=temp, timeout=90))
+
     # if os.getenv("GOOGLE_API_KEY"):
     #     llms.append(ChatGoogleGenerativeAI(model="gemini-2.0-flash-exp", temperature=temp, timeout=60))
     if os.getenv("OLLAMA_MODEL"):
         llms.append(ChatOllama(model=os.getenv("OLLAMA_MODEL")))
     if getenv("LOCAL_MODEL_API_BASE"):
         llms.append(llm_open_local_hosted(getenv("LOCAL_MODEL_NAME")))
+
+    if os.getenv("OPENAI_API_KEY"):
+        llms.append(ChatOpenAI(model="gpt-4.1-mini", temperature=temp, timeout=90))
+
     for i, llm in enumerate(llms):
         if tools:
             llm = llm.bind_tools(tools)
@@ -77,19 +79,21 @@ def init_llms_mini(tools=None, run_name="Clean Coder", temp=0):
 
 def init_llms_high_intelligence(tools=None, run_name="Clean Coder", temp=0.2):
     llms = []
-    if os.getenv("ANTHROPIC_API_KEY"):
-        llms.append(ChatAnthropic(model="claude-opus-4-20250514", temperature=temp, timeout=90))
     if getenv("OPENROUTER_API_KEY"):
-        llms.append(llm_open_router("anthropic/claude-4-opus"))
-    if os.getenv("OPENAI_API_KEY"):
-        llms.append(ChatOpenAI(model="o3", temperature=1, timeout=90, reasoning_effort="high"))
-    if os.getenv("OPENAI_API_KEY"):
-        llms.append(ChatOpenAI(model="o1", temperature=1, timeout=90))
+        llms.append(llm_open_router("anthropic/claude-opus-4"))
+    if getenv("OPENROUTER_API_KEY"):
+        llms.append(llm_open_router("google/gemini-2.5-pro"))
 
     if os.getenv("OLLAMA_MODEL"):
         llms.append(ChatOllama(model=os.getenv("OLLAMA_MODEL")))
     if getenv("LOCAL_MODEL_API_BASE"):
         llms.append(llm_open_local_hosted(getenv("LOCAL_MODEL_NAME")))
+
+    if os.getenv("ANTHROPIC_API_KEY"):
+        llms.append(ChatAnthropic(model="claude-opus-4-20250514", temperature=temp, timeout=90, max_tokens=8000))
+    if os.getenv("OPENAI_API_KEY"):
+        llms.append(ChatOpenAI(model="o3", temperature=1, timeout=90, reasoning_effort="high"))
+
     for i, llm in enumerate(llms):
         if tools:
             llm = llm.bind_tools(tools)

src/utilities/manager_utils.py

@@ -329,8 +329,16 @@ def actualize_tasks_list_and_progress_description(state):
         content=tasks_progress_template.format(tasks=project_tasks, progress_description=progress_description),
         tasks_and_progress_message=True,
     )
-    # insert tasks message near the end of conversation to ensure AI task list is most actual
-    state["messages"].insert(-2, tasks_and_progress_msg)
+    # Find the index of the last AI message with tool calls to insert the task list before it.
+    # Default to inserting before the last message if no such AI message is found.
+    insertion_index = -1
+    for i in range(len(state["messages"]) - 1, -1, -1):
+        msg = state["messages"][i]
+        if msg.type == "ai" and getattr(msg, "tool_calls", None):
+            insertion_index = i
+            break
+    
+    state["messages"].insert(insertion_index, tasks_and_progress_msg)
     return state
 
 

src/utilities/set_up_dotenv.py

@@ -20,11 +20,10 @@ def set_up_env_coder_pipeline():
             color="cyan",
         )
     )
-    envs["ANTHROPIC_API_KEY"] = input("Provide your Anthropic API key (Optional) (Why? Best coding capabilities):\n")
+    envs["OPEN_ROUTER_API_KEY"] = input("Provide your OpenRouter API key:\n")
     envs["OPENAI_API_KEY"] = input(
-        "Provide your OpenAI API key (Optional) (Why? Needed for using microphone, best planning capabilities with o1):\n"
+        "Provide your OpenAI API key (Optional) (Needed for microphone use):\n"
     )
-    envs["OPEN_ROUTER_API_KEY"] = input("Provide your OpenRouter API key (Optional) (Why? All models in one place):\n")
     print(colored("2/3. Now provide the folder containing your project.", color="cyan"))
     envs["WORK_DIR"] = input("Provide full path to your work directory:\n")
     print(colored("3/3. (Optional) If you want to use frontend feedback feature:", color="cyan"))
@@ -54,11 +53,10 @@ def set_up_env_manager():
             color="cyan",
         )
     )
-    envs["ANTHROPIC_API_KEY"] = input("Provide your Anthropic API key (Optional) (Why? Best coding capabilities):\n")
+    envs["OPEN_ROUTER_API_KEY"] = input("Provide your OpenRouter API key:\n")
     envs["OPENAI_API_KEY"] = input(
-        "Provide your OpenAI API key (Optional) (Why? Needed for using microphone, best planning capabilities with o1):\n"
+        "Provide your OpenAI API key (Optional) (Needed for microphone use):\n"
     )
-    envs["OPEN_ROUTER_API_KEY"] = input("Provide your OpenRouter API key (Optional) (Why? All models in one place):\n")
     print(colored("2/4. Now provide the folder containing your project.", color="cyan"))
     envs["WORK_DIR"] = input("Provide full path to your work directory:\n")
     print(colored("3/4. (Optional) If you want to use frontend feedback feature:", color="cyan"))

src/utilities/util_functions.py

@@ -113,6 +113,9 @@ def convert_image(image_path):
     if not os.path.exists(join_paths(work_dir, image_path)):
         print_formatted(f"Image not exists: {image_path}", color="yellow")
         return
+    if image_path.split(".")[-1] not in ["png", "jpeg", "gif", "webp"]:
+        print_formatted(f"Image format not supported: {image_path}", color="yellow")
+        return
     return [
             {"type": "text", "text": f"I###\n{image_path}"},
             {