diff --git a/apps/dojo/e2e/pages/awsStrandsPages/HumanInLoopPage.ts b/apps/dojo/e2e/pages/awsStrandsPages/HumanInLoopPage.ts
new file mode 100644
index 000000000..c32a842a8
--- /dev/null
+++ b/apps/dojo/e2e/pages/awsStrandsPages/HumanInLoopPage.ts
@@ -0,0 +1,91 @@
+import { Page, Locator, expect } from '@playwright/test';
+
+export class HumanInLoopPage {
+  readonly page: Page;
+  readonly planTaskButton: Locator;
+  readonly chatInput: Locator;
+  readonly sendButton: Locator;
+  readonly agentGreeting: Locator;
+  readonly plan: Locator;
+  readonly performStepsButton: Locator;
+  readonly agentMessage: Locator;
+  readonly userMessage: Locator;
+
+  constructor(page: Page) {
+    this.page = page;
+    this.planTaskButton = page.getByRole('button', { name: 'Human in the loop Plan a task' });
+    this.agentGreeting = page.getByText("Hi, I'm an agent specialized in helping you with your tasks. How can I help you?");
+    this.chatInput = page.getByRole('textbox', { name: 'Type a message...' });
+    this.sendButton = page.locator('[data-test-id="copilot-chat-ready"]');
+    this.plan = page.getByTestId('select-steps');
+    this.performStepsButton = page.getByRole('button', { name: 'Confirm' });
+    this.agentMessage = page.locator('.copilotKitAssistantMessage');
+    this.userMessage = page.locator('.copilotKitUserMessage');
+  }
+
+  async openChat() {
+    await this.agentGreeting.isVisible();
+  }
+
+  async sendMessage(message: string) {
+    await this.chatInput.click();
+    await this.chatInput.fill(message);
+    await this.sendButton.click();
+  }
+
+  async selectItemsInPlanner() {
+    await expect(this.plan).toBeVisible({ timeout: 10000 });
+    await this.plan.click();
+  }
+
+  async getPlannerOnClick(name: string | RegExp) {
+    return this.page.getByRole('button', { name });
+  }
+
+  async uncheckItem(identifier: number | string): Promise<string> {
+    const plannerContainer = this.page.getByTestId('select-steps');
+    const items = plannerContainer.getByTestId('step-item');
+
+    let item;
+    if (typeof identifier === 'number') {
+      item = items.nth(identifier);
+    } else {
+      item = items.filter({
+        has: this.page.getByTestId('step-text').filter({ hasText: identifier })
+      }).first();
+    }
+    const stepTextElement = item.getByTestId('step-text');
+    const text = await stepTextElement.innerText();
+    await item.click();
+
+    return text;
+  }
+
+  async isStepItemUnchecked(target: number | string): Promise<boolean> {
+    const plannerContainer = this.page.getByTestId('select-steps');
+    const items = plannerContainer.getByTestId('step-item');
+
+    let item;
+    if (typeof target === 'number') {
+      item = items.nth(target);
+    } else {
+      item = items.filter({
+        has: this.page.getByTestId('step-text').filter({ hasText: target })
+      }).first();
+    }
+    const checkbox = item.locator('input[type="checkbox"]');
+    return !(await checkbox.isChecked());
+  }
+
+  async performSteps() {
+    await this.performStepsButton.click();
+  }
+
+  async assertAgentReplyVisible(expectedText: RegExp) {
+    await expect(this.agentMessage.last().getByText(expectedText)).toBeVisible();
+  }
+
+  async assertUserMessageVisible(message: string) {
+    await expect(this.page.getByText(message)).toBeVisible();
+  }
+}
\ No newline at end of file
diff --git a/apps/dojo/e2e/tests/awsStrandsTests/humanInTheLoopPage.spec.ts b/apps/dojo/e2e/tests/awsStrandsTests/humanInTheLoopPage.spec.ts
new file mode 100644
index 000000000..c398a5bb3
--- /dev/null
+++ b/apps/dojo/e2e/tests/awsStrandsTests/humanInTheLoopPage.spec.ts
@@ -0,0 +1,91 @@
+import { test, expect, waitForAIResponse, retryOnAIFailure } from "../../test-isolation-helper";
+import { HumanInLoopPage } from "../../pages/awsStrandsPages/HumanInLoopPage";
+
+test.describe("Human in the Loop Feature", () => {
+  test("[Strands] should interact with the chat and perform steps", async ({
+    page,
+  }) => {
+    await retryOnAIFailure(async () => {
+      const humanInLoop = new HumanInLoopPage(page);
+
+      await page.goto(
+        "/aws-strands/feature/human_in_the_loop"
+      );
+
+      await humanInLoop.openChat();
+
+      await humanInLoop.sendMessage("Hi");
+      await humanInLoop.agentGreeting.isVisible();
+
+      await humanInLoop.sendMessage(
+        "Give me a plan to make brownies, there should be only one step with eggs and one step with oven, this is a strict requirement so adhere"
+      );
+      await waitForAIResponse(page);
+      await expect(humanInLoop.plan).toBeVisible({ timeout: 10000 });
+
+      const itemText = "eggs";
+      await page.waitForTimeout(5000);
+      await humanInLoop.uncheckItem(itemText);
+      await humanInLoop.performSteps();
+
+      await page.waitForFunction(
+        () => {
+          const messages = Array.from(document.querySelectorAll('.copilotKitAssistantMessage'));
+          const lastMessage = messages[messages.length - 1];
+          const content = lastMessage?.textContent?.trim() || '';
+          return messages.length >= 3 && content.length > 0;
+        },
+        { timeout: 30000 }
+      );
+
+      await humanInLoop.sendMessage(
+        `Does the planner include ${itemText}? ⚠️ Reply with only words 'Yes' or 'No' (no explanation, no punctuation).`
+      );
+      await waitForAIResponse(page);
+    });
+  });
+
+  test("[Strands] should interact with the chat using predefined prompts and perform steps", async ({
+    page,
+  }) => {
+    await retryOnAIFailure(async () => {
+      const humanInLoop = new HumanInLoopPage(page);
+
+      await page.goto(
+        "/aws-strands/feature/human_in_the_loop"
+      );
+
+      await humanInLoop.openChat();
+
+      await humanInLoop.sendMessage("Hi");
+      await humanInLoop.agentGreeting.isVisible();
+      await humanInLoop.sendMessage(
+        "Plan a mission to Mars with the first step being Start The Planning"
+      );
+      await waitForAIResponse(page);
+      await expect(humanInLoop.plan).toBeVisible({ timeout: 10000 });
+
+      const uncheckedItem = "Start The Planning";
+
+      await page.waitForTimeout(5000);
+      await humanInLoop.uncheckItem(uncheckedItem);
+      await humanInLoop.performSteps();
+
+      await page.waitForFunction(
+        () => {
+          const messages = Array.from(document.querySelectorAll('.copilotKitAssistantMessage'));
+          const lastMessage = messages[messages.length - 1];
+          const content = lastMessage?.textContent?.trim() || '';
+
+          return messages.length >= 3 && content.length > 0;
+        },
+        { timeout: 30000 }
+      );
+
+      await humanInLoop.sendMessage(
+        `Does the planner include ${uncheckedItem}? ⚠️ Reply with only words 'Yes' or 'No' (no explanation, no punctuation).`
+      );
+      await waitForAIResponse(page);
+    });
+  });
+});
diff --git a/apps/dojo/e2e/tests/awsStrandsTests/sharedStatePage.spec.ts b/apps/dojo/e2e/tests/awsStrandsTests/sharedStatePage.spec.ts
index 37de00da8..e8f9e6654 100644
--- a/apps/dojo/e2e/tests/awsStrandsTests/sharedStatePage.spec.ts
+++ b/apps/dojo/e2e/tests/awsStrandsTests/sharedStatePage.spec.ts
@@ -13,7 +13,7 @@ test.describe("Shared State Feature", () => {
     );
 
     await sharedStateAgent.openChat();
-    await sharedStateAgent.sendMessage('Please give me a pasta recipe of your choosing, but one of the ingredients should be "Pasta"');
+    await sharedStateAgent.sendMessage('Please give me a pasta recipe of your choosing, but one of the ingredients should be "Pasta". Not a type of pasta, exactly the word "Pasta".');
     await sharedStateAgent.loader();
     await sharedStateAgent.awaitIngredientCard('Pasta');
     await sharedStateAgent.getInstructionItems(
@@ -44,7 +44,7 @@ test.describe("Shared State Feature", () => {
     await page.waitForTimeout(1000);
 
     // Ask chat for all ingredients
-    await sharedStateAgent.sendMessage("Give me all the ingredients");
+    await sharedStateAgent.sendMessage("Please list all of the ingredients");
     await sharedStateAgent.loader();
 
     // Verify chat response includes both existing and new ingredients
diff --git a/apps/dojo/scripts/prep-dojo-everything.js b/apps/dojo/scripts/prep-dojo-everything.js
index 733214dc4..c81fdb4b0 100755
--- a/apps/dojo/scripts/prep-dojo-everything.js
+++ b/apps/dojo/scripts/prep-dojo-everything.js
@@ -117,6 +117,11 @@ const ALL_TARGETS = {
     name: "Dojo",
     cwd: gitRoot,
   },
+  "dojo-dev": {
+    command: "pnpm install --no-frozen-lockfile && pnpm build --filter=demo-viewer^...",
+    name: "Dojo (dev)",
+    cwd: gitRoot,
+  },
   "microsoft-agent-framework-python": {
     command: "uv sync",
     name: "Microsoft Agent Framework (Python)",
@@ -149,6 +154,10 @@ async function main() {
     selectedKeys = selectedKeys.filter((k) => !excludeList.includes(k));
   }
 
+  if (selectedKeys.includes("dojo") && selectedKeys.includes("dojo-dev")) {
+    selectedKeys= selectedKeys.filter(x => x != "dojo-dev");
+  }
+
   // Build procs list, warning on unknown keys
   const procs = [];
   for (const key of selectedKeys) {
diff --git a/apps/dojo/scripts/run-dojo-everything.js b/apps/dojo/scripts/run-dojo-everything.js
index 0c9cb2f81..1bb0dfcec 100755
--- a/apps/dojo/scripts/run-dojo-everything.js
+++ b/apps/dojo/scripts/run-dojo-everything.js
@@ -184,6 +184,31 @@ const ALL_SERVICES = {
       NEXT_PUBLIC_CUSTOM_DOMAIN_TITLE: 'cpkdojo.local___CopilotKit Feature Viewer',
     },
   }],
+  'dojo-dev': [{
+    command: 'pnpm run dev --filter=demo-viewer...',
+    name: 'Dojo (dev)',
+    cwd: gitRoot,
+    env: {
+      PORT: 9999,
+      SERVER_STARTER_URL: 'http://localhost:8000',
+      SERVER_STARTER_ALL_FEATURES_URL: 'http://localhost:8001',
+      AGNO_URL: 'http://localhost:8002',
+      CREW_AI_URL: 'http://localhost:8003',
+      LANGGRAPH_FAST_API_URL: 'http://localhost:8004',
+      LANGGRAPH_PYTHON_URL: 'http://localhost:8005',
+      LANGGRAPH_TYPESCRIPT_URL: 'http://localhost:8006',
+      LLAMA_INDEX_URL: 'http://localhost:8007',
+      MASTRA_URL: 'http://localhost:8008',
+      PYDANTIC_AI_URL: 'http://localhost:8009',
+      ADK_MIDDLEWARE_URL: 'http://localhost:8010',
+      A2A_MIDDLEWARE_BUILDINGS_MANAGEMENT_URL: 'http://localhost:8011',
+      A2A_MIDDLEWARE_FINANCE_URL: 'http://localhost:8012',
+      A2A_MIDDLEWARE_IT_URL: 'http://localhost:8013',
+      A2A_MIDDLEWARE_ORCHESTRATOR_URL: 'http://localhost:8014',
+      AWS_STRANDS_URL: 'http://localhost:8017',
+      NEXT_PUBLIC_CUSTOM_DOMAIN_TITLE: 'cpkdojo.local___CopilotKit Feature Viewer',
+    },
+  }],
 };
 
 function printDryRunServices(procs) {
@@ -214,6 +239,10 @@ async function main() {
     selectedKeys = selectedKeys.filter((k) => !excludeList.includes(k));
   }
 
+  if (selectedKeys.includes("dojo") && selectedKeys.includes("dojo-dev")) {
+    selectedKeys= selectedKeys.filter(x => x != "dojo-dev");
+  }
+
   // Build processes, warn for unknown keys
   const procs = [];
   for (const key of selectedKeys) {
diff --git a/apps/dojo/src/agents.ts b/apps/dojo/src/agents.ts
index 5e456d66a..3521d1ef8 100644
--- a/apps/dojo/src/agents.ts
+++ b/apps/dojo/src/agents.ts
@@ -463,6 +463,7 @@ export const agentsIntegrations: AgentIntegrationConfig[] = [
         backend_tool_rendering: new AWSStrandsAgent({ url: `${envVars.awsStrandsUrl}/backend-tool-rendering/` }),
         agentic_generative_ui: new AWSStrandsAgent({ url: `${envVars.awsStrandsUrl}/agentic-generative-ui/` }),
         shared_state: new AWSStrandsAgent({ url: `${envVars.awsStrandsUrl}/shared-state/` }),
+        human_in_the_loop: new AWSStrandsAgent({ url: `${envVars.awsStrandsUrl}/human-in-the-loop/`, debug: true }),
       };
     },
   },
diff --git a/apps/dojo/src/menu.ts b/apps/dojo/src/menu.ts
index 0ef87f0f2..059215919 100644
--- a/apps/dojo/src/menu.ts
+++ b/apps/dojo/src/menu.ts
@@ -210,6 +210,7 @@ export const menuIntegrations: MenuIntegrationConfig[] = [
       "backend_tool_rendering",
       "agentic_generative_ui",
       "shared_state",
+      "human_in_the_loop",
     ],
   },
 ];
diff --git a/integrations/aws-strands/python/examples/poetry.lock b/integrations/aws-strands/python/examples/poetry.lock
index 6a3aba570..e69302909 100644
--- a/integrations/aws-strands/python/examples/poetry.lock
+++ b/integrations/aws-strands/python/examples/poetry.lock
@@ -1,15 +1,15 @@
-# This file is automatically @generated by Poetry 2.2.1 and should not be changed by hand.
+# This file is automatically @generated by Poetry 2.1.4 and should not be changed by hand.
 
 [[package]]
 name = "ag-ui-protocol"
-version = "0.1.5"
+version = "0.1.10"
 description = ""
 optional = false
 python-versions = "<4.0,>=3.9"
 groups = ["main"]
 files = [
-    {file = "ag_ui_protocol-0.1.5-py3-none-any.whl", hash = "sha256:d51a0ad9635059b629b4cb57a9a2ec425b4cc8220e91d50a8f9d559571737ae9"},
-    {file = "ag_ui_protocol-0.1.5.tar.gz", hash = "sha256:48757afe82a4ee88eb078f31ef9672e09df624573d82045054f5a5b5dc021832"},
+    {file = "ag_ui_protocol-0.1.10-py3-none-any.whl", hash = "sha256:c81e6981f30aabdf97a7ee312bfd4df0cd38e718d9fc10019c7d438128b93ab5"},
+    {file = "ag_ui_protocol-0.1.10.tar.gz", hash = "sha256:3213991c6b2eb24bb1a8c362ee270c16705a07a4c5962267a083d0959ed894f4"},
 ]
 
 [package.dependencies]
@@ -17,7 +17,7 @@ pydantic = ">=2.11.2,<3.0.0"
 
 [[package]]
 name = "ag-ui-strands"
-version = "0.1.0"
+version = "0.1.0b1"
 description = ""
 optional = false
 python-versions = ">=3.12, <3.14"
@@ -26,7 +26,7 @@ files = []
 develop = true
 
 [package.dependencies]
-ag-ui-protocol = ">=0.1.5"
+ag-ui-protocol = ">=0.1.10"
 fastapi = ">=0.115.12"
 strands-agents = ">=1.15.0"
 
@@ -2928,4 +2928,4 @@ type = ["pytest-mypy"]
 [metadata]
 lock-version = "2.1"
 python-versions = "<3.14,>=3.12"
-content-hash = "6b746ab6831017822dd4424ca0b1143330e270fa3dbba28ce9add47a0f7644fe"
+content-hash = "000bbd4fca7b1bbab22d6b9678c9eb4ba849f1263c15194f102bd4462297379c"
diff --git a/integrations/aws-strands/python/examples/pyproject.toml b/integrations/aws-strands/python/examples/pyproject.toml
index 6efbb15c2..811752bb8 100644
--- a/integrations/aws-strands/python/examples/pyproject.toml
+++ b/integrations/aws-strands/python/examples/pyproject.toml
@@ -8,7 +8,7 @@ packages = [{ include = "server" }]
 
 [tool.poetry.dependencies]
 python = "<3.14,>=3.12"
-ag-ui-protocol = "^0.1.5"
+ag-ui-protocol = "^0.1.10"
 fastapi = "^0.115.12"
 uvicorn = "^0.34.3"
 strands-agents = {extras = ["gemini"], version = "^1.15.0"}
@@ -20,4 +20,4 @@ requires = ["poetry-core"]
 build-backend = "poetry.core.masonry.api"
 
 [tool.poetry.scripts]
-dev = "server:main"
\ No newline at end of file
+dev = "server:main"
diff --git a/integrations/aws-strands/python/examples/server/__init__.py b/integrations/aws-strands/python/examples/server/__init__.py
index 941269220..cdd39bbc4 100644
--- a/integrations/aws-strands/python/examples/server/__init__.py
+++ b/integrations/aws-strands/python/examples/server/__init__.py
@@ -28,6 +28,7 @@
     agentic_chat_app,
     agentic_generative_ui_app,
     backend_tool_rendering_app,
+    human_in_the_loop_app,
     shared_state_app,
 )
 
@@ -48,6 +49,7 @@
 app.mount('/backend-tool-rendering', backend_tool_rendering_app, 'Backend Tool Rendering')
 app.mount('/agentic-generative-ui', agentic_generative_ui_app, 'Agentic Generative UI')
 app.mount('/shared-state', shared_state_app, 'Shared State')
+app.mount('/human-in-the-loop', human_in_the_loop_app, 'Human in the Loop')
 
 @app.get("/")
 def root():
@@ -70,4 +72,3 @@ def main():
     main()
 
 __all__ = ["main", "app"]
-
diff --git a/integrations/aws-strands/python/examples/server/api/__init__.py b/integrations/aws-strands/python/examples/server/api/__init__.py
index 8985eddc1..2cab2be9d 100644
--- a/integrations/aws-strands/python/examples/server/api/__init__.py
+++ b/integrations/aws-strands/python/examples/server/api/__init__.py
@@ -3,12 +3,13 @@
 from .agentic_chat import app as agentic_chat_app
 from .agentic_generative_ui import app as agentic_generative_ui_app
 from .backend_tool_rendering import app as backend_tool_rendering_app
+from .human_in_the_loop import app as human_in_the_loop_app
 from .shared_state import app as shared_state_app
 
 __all__ = [
     "agentic_chat_app",
     "agentic_generative_ui_app",
     "backend_tool_rendering_app",
+    "human_in_the_loop_app",
     "shared_state_app",
 ]
-
diff --git a/integrations/aws-strands/python/examples/server/api/agentic_chat.py b/integrations/aws-strands/python/examples/server/api/agentic_chat.py
index 9dc53b8a1..b0a542da1 100644
--- a/integrations/aws-strands/python/examples/server/api/agentic_chat.py
+++ b/integrations/aws-strands/python/examples/server/api/agentic_chat.py
@@ -42,9 +42,9 @@
 @tool
 def change_background(background: str):
     """
-    Change the background color of the chat. Can be anything that the CSS background 
+    Change the background color of the chat. Can be anything that the CSS background
     attribute accepts. Regular colors, linear or radial gradients etc.
-    
+
     Args:
         background: The background color or gradient. Prefer gradients. Only use when asked.
     """
@@ -54,7 +54,11 @@ def change_background(background: str):
 strands_agent = Agent(
     model=model,
     tools=[change_background],  # Register so LLM knows about it
-    system_prompt="You are a helpful assistant.",
+    system_prompt="""
+    You are a helpful assistant.
+    When the user greets you, always greet them back. Your greeting should always start with "Hello".
+    Your greeting should also always ask (exact wording) "how can I assist you?"
+    """,
 )
 
 agui_agent = StrandsAgent(
@@ -64,4 +68,3 @@ def change_background(background: str):
 )
 
 app = create_strands_app(agui_agent, "/")
-
diff --git a/integrations/aws-strands/python/examples/server/api/agentic_generative_ui.py b/integrations/aws-strands/python/examples/server/api/agentic_generative_ui.py
index dcb82dea2..bf3118d6a 100644
--- a/integrations/aws-strands/python/examples/server/api/agentic_generative_ui.py
+++ b/integrations/aws-strands/python/examples/server/api/agentic_generative_ui.py
@@ -265,8 +265,8 @@ def build_state_context(input_data, user_message: str) -> str:
 You are an energetic project assistant who decomposes user goals into action plans.
 
 Planning rules:
-1. When the user asks for help with a task, call `plan_task_steps` exactly once to create the plan.
-2. Do NOT call `plan_task_steps` again unless the user explicitly says to restart or discard the plan.
+1. When the user asks for help with a task or making a plan, call `plan_task_steps` exactly once to create the plan.
+2. Do NOT call `plan_task_steps` again unless the user explicitly says to restart or discard the plan (or moves on to a new task).
 3. Generate 4-6 concise steps in gerund form (e.g., “Setting up repo”, “Testing prototype”) and leave their status as "pending".
 4. After the tool call, send a short confirmation (<= 2 sentences) plus one emoji describing what you planned.
 5. If the user is just chatting or reviewing progress, respond conversationally and DO NOT call the tool.
@@ -288,4 +288,3 @@ def build_state_context(input_data, user_message: str) -> str:
 )
 
 app = create_strands_app(agui_agent, "/")
-
diff --git a/integrations/aws-strands/python/examples/server/api/human_in_the_loop.py b/integrations/aws-strands/python/examples/server/api/human_in_the_loop.py
new file mode 100644
index 000000000..7aff37fc3
--- /dev/null
+++ b/integrations/aws-strands/python/examples/server/api/human_in_the_loop.py
@@ -0,0 +1,116 @@
+"""Human in the Loop example for AWS Strands.
+
+This example demonstrates how to create a Strands agent with a generate_task_steps tool
+for human-in-the-loop interactions, where users can review and approve task steps before execution.
+"""
+import os
+from pathlib import Path
+from typing import List, Literal
+from dotenv import load_dotenv
+from pydantic import BaseModel, Field
+
+# Suppress OpenTelemetry context warnings
+os.environ["OTEL_SDK_DISABLED"] = "true"
+os.environ["OTEL_PYTHON_DISABLED_INSTRUMENTATIONS"] = "all"
+
+from strands import Agent, tool
+from strands.models.gemini import GeminiModel
+from ag_ui_strands import StrandsAgent, create_strands_app
+
+# Load environment variables from .env file
+env_path = Path(__file__).parent.parent.parent / '.env'
+load_dotenv(dotenv_path=env_path)
+
+# Use Gemini model
+model = GeminiModel(
+    client_args={
+        "api_key": os.getenv("GOOGLE_API_KEY", "your-api-key-here"),
+    },
+    model_id="gemini-2.5-flash",
+    params={
+        "temperature": 0.7,
+        "max_output_tokens": 2048,
+        "top_p": 0.9,
+        "top_k": 40
+    }
+)
+
+
+class Step(BaseModel):
+    """A single step in a task plan."""
+
+    description: str = Field(
+        ...,
+        description="A brief description of the step in imperative form",
+        optional=False
+    )
+    status: Literal["enabled", "disabled"] = Field(
+        default="enabled",
+        description="The status of the step",
+        optional=False,
+    )
+
+
+@tool
+def generate_task_steps(
+    steps: List[Step],
+) -> str:
+    """Generate a list of steps for the user to review and approve.
+
+    This tool creates a task plan that will be displayed to the user for review.
+    The user can enable/disable steps before confirming execution.
+    The user can approve or disapprove the plan. That result will come back to you as a json object
+    - when disapproved: `{ accepted: false }`
+    - when approved: `{ accepted: true, steps: [{{steps that are approved}}] }`
+
+    Note that the approved list of steps comes back, it may not be the entire list.
+
+    Args:
+        steps: A list of 10 step objects, each containing a description and status.
+               Each step should be brief (a few words) and in imperative form
+               (e.g., "Dig hole", "Open door", "Mix ingredients").
+
+    Returns:
+        A confirmation message.
+    """
+    return f"Generated {len(steps)} steps for user review"
+
+
+strands_agent = Agent(
+    model=model,
+    tools=[generate_task_steps],
+    system_prompt="""You are a task planning assistant specialized in creating clear, actionable step-by-step plans.
+
+**Your Primary Role:**
+- Break down any user request into exactly 10 clear, actionable steps
+- Generate steps that require human review and approval
+- Execute only human-approved steps
+
+**When a user requests help with a task:**
+1. ALWAYS use the `generate_task_steps` tool to create a breakdown (default to 10 steps unless told otherwise)
+2. Each step must be:
+   - Brief (only a few words)
+   - In imperative form (e.g., "Dig hole", "Open door", "Mix ingredients")
+   - Clear and actionable
+   - Logically ordered from start to finish
+3. Set all steps to "enabled" status initially
+4. After the user reviews the plan:
+   - If accepted: Briefly confirm the plan (only include the approved steps) and proceed (don't repeat the steps). Do not ask for more clarifying information.
+   - If rejected: Ask what they'd like to change (don't call generate_task_steps again until they provide input)
+5. When the user accepts the plan, "execute" the plan by repeating the approved steps in order as if you have just done them. Then let the user know you have completed the plan.
+    - example: if the user accepts the steps "Dig hole", "Open door", "Mix ingredients", you would respond with "Digging hole... Opening door... Mixing ingredients..."
+
+**Important:**
+- NEVER call `generate_task_steps` twice in a row without user input
+- NEVER repeat the list of steps in your response after calling the tool
+- DO provide a brief, creative summary of how you would execute the approved steps
+""",
+)
+
+agui_agent = StrandsAgent(
+    agent=strands_agent,
+    name="human_in_the_loop",
+    description="AWS Strands agent with human-in-the-loop task planning",
+)
+
+app = create_strands_app(agui_agent, "/")
diff --git a/integrations/aws-strands/python/poetry.lock b/integrations/aws-strands/python/poetry.lock
new file mode 100644
index 000000000..27ab3b6e6
--- /dev/null
+++ b/integrations/aws-strands/python/poetry.lock
@@ -0,0 +1,1419 @@
+# This file is automatically @generated by Poetry 2.1.4 and should not be changed by hand.
+
+[[package]]
+name = "ag-ui-protocol"
+version = "0.1.10"
+description = ""
+optional = false
+python-versions = "<4.0,>=3.9"
+groups = ["main"]
+files = [
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+]
+
+[package.dependencies]
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+
+[[package]]
+name = "annotated-doc"
+version = "0.0.4"
+description = "Document parameters, class attributes, return types, and variables inline, with Annotated."
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+files = [
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+[[package]]
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+version = "0.7.0"
+description = "Reusable constraint types to use with typing.Annotated"
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+files = [
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+]
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+[[package]]
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+description = "High-level concurrency and networking framework on top of asyncio or Trio"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
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+[package.dependencies]
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+typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""}
+
+[package.extras]
+trio = ["trio (>=0.31.0) ; python_version < \"3.10\"", "trio (>=0.32.0) ; python_version >= \"3.10\""]
+
+[[package]]
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+description = "Classes Without Boilerplate"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
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+[[package]]
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+version = "1.42.1"
+description = "The AWS SDK for Python"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
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+
+[package.extras]
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+
+[[package]]
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+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
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+[[package]]
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+]
+
+[[package]]
+name = "zipp"
+version = "3.23.0"
+description = "Backport of pathlib-compatible object wrapper for zip files"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
+    {file = "zipp-3.23.0-py3-none-any.whl", hash = "sha256:071652d6115ed432f5ce1d34c336c0adfd6a884660d1e9712a256d3d3bd4b14e"},
+    {file = "zipp-3.23.0.tar.gz", hash = "sha256:a07157588a12518c9d4034df3fbbee09c814741a33ff63c05fa29d26a2404166"},
+]
+
+[package.extras]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""]
+cover = ["pytest-cov"]
+doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+enabler = ["pytest-enabler (>=2.2)"]
+test = ["big-O", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more_itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"]
+type = ["pytest-mypy"]
+
+[metadata]
+lock-version = "2.1"
+python-versions = ">=3.12, <3.14"
+content-hash = "9b2c712e61fbaad086b99abae0c2f1555fe43ff781f41d0117f880eef8e4d94c"
diff --git a/integrations/aws-strands/python/pyproject.toml b/integrations/aws-strands/python/pyproject.toml
index 194f54494..1ac11b383 100644
--- a/integrations/aws-strands/python/pyproject.toml
+++ b/integrations/aws-strands/python/pyproject.toml
@@ -1,12 +1,12 @@
 [project]
 name = "ag_ui_strands"
-version = "0.1.0"
+version = "0.1.0b12"
 authors = [
     { name = "AG-UI Contributors" }
 ]
 requires-python = ">=3.12, <3.14"
 dependencies = [
-    "ag-ui-protocol>=0.1.5",
+    "ag-ui-protocol>=0.1.10",
     "fastapi>=0.115.12",
     "strands-agents>=1.15.0",
 ]
@@ -20,4 +20,3 @@ packages = ["src/ag_ui_strands"]
 
 [tool.hatch.metadata]
 allow-direct-references = true
-
diff --git a/integrations/aws-strands/python/src/ag_ui_strands/agent.py b/integrations/aws-strands/python/src/ag_ui_strands/agent.py
index 925208d8d..6790e4b26 100644
--- a/integrations/aws-strands/python/src/ag_ui_strands/agent.py
+++ b/integrations/aws-strands/python/src/ag_ui_strands/agent.py
@@ -1,36 +1,37 @@
-
-
 """AWS Strands Agent implementation for AG-UI.
 
 Simple adapter following the Agno pattern.
 """
-import logging
+
 import json
+import logging
 import uuid
-import asyncio
-from typing import AsyncIterator, Any
+from typing import Any, AsyncIterator, Dict, List
+
 from strands import Agent as StrandsAgentCore
 
 logger = logging.getLogger(__name__)
 from ag_ui.core import (
-    RunAgentInput,
+    AssistantMessage,
+    CustomEvent,
     EventType,
-    RunStartedEvent,
-    RunFinishedEvent,
+    MessagesSnapshotEvent,
+    RunAgentInput,
     RunErrorEvent,
-    TextMessageStartEvent,
+    RunFinishedEvent,
+    RunStartedEvent,
+    StateSnapshotEvent,
     TextMessageContentEvent,
     TextMessageEndEvent,
-    ToolCallStartEvent,
+    TextMessageStartEvent,
+    ToolCall,
     ToolCallArgsEvent,
     ToolCallEndEvent,
-    MessagesSnapshotEvent,
-    StateSnapshotEvent,
-    CustomEvent,
-    AssistantMessage,
+    ToolCallResultEvent,
+    ToolCallStartEvent,
     ToolMessage,
-    ToolCall,
 )
+
 from .config import (
     StrandsAgentConfig,
     ToolCallContext,
@@ -42,7 +43,7 @@
 
 class StrandsAgent:
     """AWS Strands Agent wrapper for AG-UI integration."""
-    
+
     def __init__(
         self,
         agent: StrandsAgentCore,
@@ -50,341 +51,607 @@ def __init__(
         description: str = "",
         config: "StrandsAgentConfig | None" = None,
     ):
-        self.strands_agent = agent
+        # Store template agent configuration for creating fresh instances
+        self._model = agent.model
+        self._system_prompt = agent.system_prompt
+        self._tools = (
+            list(agent.tool_registry.registry.values())
+            if hasattr(agent, "tool_registry")
+            else []
+        )
+        self._agent_kwargs = {
+            "record_direct_tool_call": agent.record_direct_tool_call
+            if hasattr(agent, "record_direct_tool_call")
+            else True,
+        }
+
         self.name = name
         self.description = description
         self.config = config or StrandsAgentConfig()
-    
+
+        # Dictionary to store agent instances per thread
+        self._agents_by_thread: Dict[str, StrandsAgentCore] = {}
+
     async def run(self, input_data: RunAgentInput) -> AsyncIterator[Any]:
         """Run the Strands agent and yield AG-UI events."""
-        
+
+        # Get or create agent instance for this thread
+        # Each thread (user session) maintains its own conversation state
+        thread_id = input_data.thread_id or "default"
+        if thread_id not in self._agents_by_thread:
+            self._agents_by_thread[thread_id] = StrandsAgentCore(
+                model=self._model,
+                system_prompt=self._system_prompt,
+                tools=self._tools,
+                **self._agent_kwargs,
+            )
+        strands_agent = self._agents_by_thread[thread_id]
+
         # Start run
         yield RunStartedEvent(
             type=EventType.RUN_STARTED,
             thread_id=input_data.thread_id,
-            run_id=input_data.run_id
+            run_id=input_data.run_id,
         )
 
         try:
             # Emit state snapshot if provided
-            if hasattr(input_data, 'state') and input_data.state is not None:
+            if hasattr(input_data, "state") and input_data.state is not None:
                 # Filter out messages from state to avoid "Unknown message role" errors
                 # The frontend manages messages separately and doesn't recognize "tool" role
-                state_snapshot = {k: v for k, v in input_data.state.items() if k != 'messages'}
+                state_snapshot = {
+                    k: v for k, v in input_data.state.items() if k != "messages"
+                }
                 yield StateSnapshotEvent(
-                    type=EventType.STATE_SNAPSHOT,
-                    snapshot=state_snapshot
+                    type=EventType.STATE_SNAPSHOT, snapshot=state_snapshot
                 )
-            
+
             # Extract frontend tool names from input_data.tools
             frontend_tool_names = set()
             if input_data.tools:
                 for tool_def in input_data.tools:
-                    tool_name = tool_def.get("name") if isinstance(tool_def, dict) else getattr(tool_def, "name", None)
+                    tool_name = (
+                        tool_def.get("name")
+                        if isinstance(tool_def, dict)
+                        else getattr(tool_def, "name", None)
+                    )
                     if tool_name:
                         frontend_tool_names.add(tool_name)
-            
+
             # Check if the last message is a tool result - if so, don't emit tool events again
             has_pending_tool_result = False
             if input_data.messages:
                 last_msg = input_data.messages[-1]
                 if last_msg.role == "tool":
                     has_pending_tool_result = True
-                    logger.debug(f"Has pending tool result detected: tool_call_id={getattr(last_msg, 'tool_call_id', 'unknown')}, thread_id={input_data.thread_id}")
-            
-            # Get the latest user message
+                    logger.debug(
+                        f"Has pending tool result detected: tool_call_id={getattr(last_msg, 'tool_call_id', 'unknown')}, thread_id={input_data.thread_id}"
+                    )
+
+            # Convert AG-UI messages to Strands format
+            # Strands expects content as List[ContentBlock] for most messages
+            # OpenAI requires tool messages to follow assistant messages with tool_calls
+            strands_messages = []
+            last_msg_had_tool_calls = False
+            expected_tool_call_ids = set()  # Track which tool_call_ids are valid
+
+            logger.debug(
+                f"Converting {len(input_data.messages)} messages to Strands format, thread_id={input_data.thread_id}"
+            )
+
+            for i, msg in enumerate(input_data.messages):
+                logger.debug(
+                    f"Message {i}: role={msg.role}, has_tool_calls={hasattr(msg, 'tool_calls') and bool(msg.tool_calls)}, tool_call_id={getattr(msg, 'tool_call_id', None)}"
+                )
+                strands_msg: Dict[str, Any] = {"role": msg.role}
+
+                # Handle assistant messages with tool_calls
+                if (
+                    msg.role == "assistant"
+                    and hasattr(msg, "tool_calls")
+                    and msg.tool_calls
+                ):
+                    # Convert tool calls to format expected by Strands/OpenAI
+                    strands_msg["content"] = []
+                    if msg.content:
+                        if isinstance(msg.content, str):
+                            strands_msg["content"].append({"text": msg.content})
+                        elif isinstance(msg.content, list):
+                            strands_msg["content"] = msg.content
+
+                    strands_msg["tool_calls"] = []
+                    expected_tool_call_ids.clear()  # Reset for this assistant message
+                    for tc in msg.tool_calls:
+                        expected_tool_call_ids.add(tc.id)  # Track this tool call ID
+                        strands_msg["tool_calls"].append(
+                            {
+                                "id": tc.id,
+                                "type": "function",
+                                "function": {
+                                    "name": tc.function.get("name")
+                                    if isinstance(tc.function, dict)
+                                    else tc.function.name,
+                                    "arguments": tc.function.get("arguments")
+                                    if isinstance(tc.function, dict)
+                                    else tc.function.arguments,
+                                },
+                            }
+                        )
+                    last_msg_had_tool_calls = True
+                    strands_messages.append(strands_msg)
+
+                # Handle tool messages (must follow assistant message with tool_calls)
+                elif msg.role == "tool":
+                    # Skip tool messages that don't have a preceding assistant message with tool_calls
+                    if (
+                        not last_msg_had_tool_calls
+                        or msg.tool_call_id not in expected_tool_call_ids
+                    ):
+                        logger.debug(
+                            f"Skipping orphaned tool message: tool_call_id={msg.tool_call_id}, last_msg_had_tool_calls={last_msg_had_tool_calls}, valid_ids={expected_tool_call_ids}, thread_id={input_data.thread_id}"
+                        )
+                        continue
+
+                    # Include the tool message for OpenAI format compliance
+                    strands_msg["tool_call_id"] = msg.tool_call_id
+                    if isinstance(msg.content, str):
+                        strands_msg["content"] = [{"text": msg.content}]
+                    else:
+                        strands_msg["content"] = msg.content
+
+                    expected_tool_call_ids.remove(msg.tool_call_id)
+                    if not expected_tool_call_ids:
+                        last_msg_had_tool_calls = False
+                    strands_messages.append(strands_msg)
+
+                # Handle regular messages (user, assistant without tool_calls)
+                else:
+                    if isinstance(msg.content, str):
+                        strands_msg["content"] = [{"text": msg.content}]
+                    elif isinstance(msg.content, list):
+                        strands_msg["content"] = msg.content
+                    else:
+                        strands_msg["content"] = [{"text": ""}]
+                    last_msg_had_tool_calls = False
+                    strands_messages.append(strands_msg)
+
+            # Get the latest user message for state context builder
             user_message = "Hello"
             if input_data.messages:
                 for msg in reversed(input_data.messages):
-                    if msg.role == "user" and msg.content:
+                    if (msg.role == "user" or msg.role == "tool") and msg.content:
                         user_message = msg.content
                         break
-            
+
             # Optionally allow configuration to adjust the outgoing user message
             if self.config.state_context_builder:
                 try:
-                    user_message = self.config.state_context_builder(input_data, user_message)
-                except Exception:
+                    user_message = self.config.state_context_builder(
+                        input_data, user_message
+                    )
+                    # If state_context_builder modifies the message, update the last user message
+                    if strands_messages and strands_messages[-1]["role"] == "user":
+                        strands_messages[-1]["content"] = [{"text": user_message}]
+                except Exception as e:
                     # If the builder fails, keep the original message
-                    pass
-            
+                    logger.warning(f"State context builder failed: {e}", exc_info=True)
+
             # Generate unique message ID
             message_id = str(uuid.uuid4())
             message_started = False
             tool_calls_seen = {}
             stop_text_streaming = False
             halt_event_stream = False
-            
-            logger.debug(f"Starting agent run: thread_id={input_data.thread_id}, run_id={input_data.run_id}, has_pending_tool_result={has_pending_tool_result}, message_count={len(input_data.messages)}")
-            
-            # Stream from Strands agent
-            agent_stream = self.strands_agent.stream_async(user_message)
-            
-            async for event in agent_stream:
-                logger.debug(f"Received event: {event}")
-                if halt_event_stream:
-                    logger.debug(f"Breaking event stream: halt_event_stream flag set to True (thread_id={input_data.thread_id})")
-                    break
-
-                # Skip lifecycle events
-                if event.get("init_event_loop") or event.get("start_event_loop"):
-                    continue
-                if event.get("complete") or event.get("force_stop"):
-                    logger.debug(f"Breaking event stream: received complete or force_stop event (thread_id={input_data.thread_id}, complete={event.get('complete')}, force_stop={event.get('force_stop')})")
-                    break
-                
-                # Handle text streaming
-                elif "data" in event and event["data"]:
-                    if stop_text_streaming:
+
+            logger.debug(
+                f"Starting agent run: thread_id={input_data.thread_id}, run_id={input_data.run_id}, has_pending_tool_result={has_pending_tool_result}, message_count={len(input_data.messages)}, strands_message_count={len(strands_messages)}"
+            )
+
+            # Stream from persistent Strands agent with only the new user message
+            # The agent maintains its own conversation history internally
+            agent_stream = strands_agent.stream_async(user_message)
+
+            try:
+                async for event in agent_stream:
+                    # If we've halted, consume remaining events silently to allow proper cleanup
+                    if halt_event_stream:
                         continue
-                    
-                    if not message_started:
-                        yield TextMessageStartEvent(
-                            type=EventType.TEXT_MESSAGE_START,
+
+                    logger.debug(f"Received event: {event}")
+
+                    # Skip lifecycle events
+                    if event.get("init_event_loop") or event.get("start_event_loop"):
+                        continue
+                    if event.get("complete") or event.get("force_stop"):
+                        logger.debug(
+                            f"Breaking event stream: received complete or force_stop event (thread_id={input_data.thread_id}, complete={event.get('complete')}, force_stop={event.get('force_stop')})"
+                        )
+                        # Generator will end naturally, no need to break
+                        break
+
+                    # Handle text streaming
+                    if "data" in event and event["data"]:
+                        if stop_text_streaming:
+                            continue
+
+                        if not message_started:
+                            yield TextMessageStartEvent(
+                                type=EventType.TEXT_MESSAGE_START,
+                                message_id=message_id,
+                                role="assistant",
+                            )
+                            message_started = True
+
+                        text_chunk = str(event["data"])
+                        yield TextMessageContentEvent(
+                            type=EventType.TEXT_MESSAGE_CONTENT,
                             message_id=message_id,
-                            role="assistant"
+                            delta=text_chunk,
                         )
-                        message_started = True
-                    
-                    text_chunk = str(event["data"])
-                    yield TextMessageContentEvent(
-                        type=EventType.TEXT_MESSAGE_CONTENT,
-                        message_id=message_id,
-                        delta=text_chunk
-                    )
-                
-                # Handle tool results from Strands for backend tool rendering
-                elif "message" in event and event["message"].get("role") == "user":
-                    message_content = event["message"].get("content", [])
-                    if not message_content or not isinstance(message_content, list):
-                        continue
 
-                    for item in message_content:
-                        if not isinstance(item, dict) or "toolResult" not in item:
+                    # Handle tool results from Strands for backend tool rendering
+                    elif "message" in event and event["message"].get("role") == "user":
+                        message_content = event["message"].get("content", [])
+                        if not message_content or not isinstance(message_content, list):
                             continue
 
-                        tool_result = item["toolResult"]
-                        result_tool_id = tool_result.get("toolUseId")
-                        result_content = tool_result.get("content", [])
+                        for item in message_content:
+                            if not isinstance(item, dict) or "toolResult" not in item:
+                                continue
 
-                        result_data = None
-                        if result_content and isinstance(result_content, list):
-                            for content_item in result_content:
-                                if isinstance(content_item, dict) and "text" in content_item:
-                                    text_content = content_item["text"]
-                                    try:
-                                        result_data = json.loads(text_content)
-                                    except json.JSONDecodeError:
+                            tool_result = item["toolResult"]
+                            result_tool_id = tool_result.get("toolUseId")
+                            result_content = tool_result.get("content", [])
+
+                            result_data = None
+                            if result_content and isinstance(result_content, list):
+                                for content_item in result_content:
+                                    if (
+                                        isinstance(content_item, dict)
+                                        and "text" in content_item
+                                    ):
+                                        text_content = content_item["text"]
                                         try:
-                                            json_text = text_content.replace("'", '"')
-                                            result_data = json.loads(json_text)
-                                        except Exception:
-                                            result_data = text_content
+                                            result_data = json.loads(text_content)
+                                        except json.JSONDecodeError:
+                                            try:
+                                                json_text = text_content.replace(
+                                                    "'", '"'
+                                                )
+                                                result_data = json.loads(json_text)
+                                            except Exception:
+                                                result_data = text_content
 
-                        if not result_tool_id or result_data is None:
-                            continue
+                            if not result_tool_id or result_data is None:
+                                continue
 
-                        call_info = tool_calls_seen.get(result_tool_id, {})
-                        tool_name = call_info.get("name")
-                        tool_args = call_info.get("args")
-                        tool_input = call_info.get("input")
-                        behavior = self.config.tool_behaviors.get(tool_name) if tool_name else None
-                        
-                        logger.debug(f"Processing tool result: tool_name={tool_name}, result_tool_id={result_tool_id}, has_pending_tool_result={has_pending_tool_result}, thread_id={input_data.thread_id}")
-
-                        if not has_pending_tool_result and not (behavior and behavior.skip_messages_snapshot):
-                            assistant_msg = AssistantMessage(
-                                id=str(uuid.uuid4()),
-                                role="assistant",
-                                tool_calls=[
-                                    ToolCall(
-                                        id=result_tool_id,
-                                        type="function",
-                                        function={
-                                            "name": tool_name or "default_tool",
-                                            "arguments": tool_args or "{}",
-                                        },
-                                    )
-                                ],
+                            call_info = tool_calls_seen.get(result_tool_id, {})
+                            tool_name = call_info.get("name")
+                            tool_args = call_info.get("args")
+                            tool_input = call_info.get("input")
+                            behavior = (
+                                self.config.tool_behaviors.get(tool_name)
+                                if tool_name
+                                else None
+                            )
+
+                            logger.debug(
+                                f"Processing tool result: tool_name={tool_name}, result_tool_id={result_tool_id}, has_pending_tool_result={has_pending_tool_result}, thread_id={input_data.thread_id}"
                             )
 
-                            content_str = json.dumps(result_data) if isinstance(result_data, dict) else str(result_data)
-                            tool_msg = ToolMessage(
-                                id=str(uuid.uuid4()),
-                                role="tool",
-                                content=content_str,
+                            # Emit ToolCallResultEvent WITHOUT role field to complete the tool in UI
+                            # but prevent it from being added to conversation history
+                            yield ToolCallResultEvent(
+                                type=EventType.TOOL_CALL_RESULT,
                                 tool_call_id=result_tool_id,
+                                message_id=message_id,
+                                content=json.dumps(result_data),
+                                # role is intentionally omitted - without role="tool",
+                                # the frontend won't add this to conversation history
                             )
 
-                            all_messages = list(input_data.messages) + [assistant_msg, tool_msg]
-                            yield MessagesSnapshotEvent(
-                                type=EventType.MESSAGES_SNAPSHOT,
-                                messages=all_messages
+                            result_context = ToolResultContext(
+                                input_data=input_data,
+                                tool_name=tool_name or "",
+                                tool_use_id=result_tool_id,
+                                tool_input=tool_input,
+                                args_str=tool_args or "{}",
+                                result_data=result_data,
+                                message_id=message_id,
                             )
 
-                        result_context = ToolResultContext(
-                            input_data=input_data,
-                            tool_name=tool_name or "",
-                            tool_use_id=result_tool_id,
-                            tool_input=tool_input,
-                            args_str=tool_args or "{}",
-                            result_data=result_data,
-                            message_id=message_id,
-                        )
+                            if behavior and behavior.state_from_result:
+                                try:
+                                    snapshot = await maybe_await(
+                                        behavior.state_from_result(result_context)
+                                    )
+                                    if snapshot:
+                                        yield StateSnapshotEvent(
+                                            type=EventType.STATE_SNAPSHOT,
+                                            snapshot=snapshot,
+                                        )
+                                except Exception as e:
+                                    logger.warning(
+                                        f"state_from_result failed for {tool_name}: {e}",
+                                        exc_info=True,
+                                    )
 
-                        if behavior and behavior.state_from_result:
-                            try:
-                                snapshot = await maybe_await(behavior.state_from_result(result_context))
-                                if snapshot:
-                                    yield StateSnapshotEvent(
-                                        type=EventType.STATE_SNAPSHOT,
-                                        snapshot=snapshot
+                            if behavior and behavior.custom_result_handler:
+                                try:
+                                    async for (
+                                        custom_event
+                                    ) in behavior.custom_result_handler(result_context):
+                                        if custom_event is not None:
+                                            yield custom_event
+                                except Exception as e:
+                                    logger.warning(
+                                        f"custom_result_handler failed for {tool_name}: {e}",
+                                        exc_info=True,
                                     )
-                            except Exception:
-                                pass
 
-                        if behavior and behavior.custom_result_handler:
-                            try:
-                                async for custom_event in behavior.custom_result_handler(result_context):
-                                    if custom_event is not None:
-                                        yield custom_event
-                            except Exception:
-                                pass
-
-                        if behavior and behavior.stop_streaming_after_result:
-                            stop_text_streaming = True
-                            if message_started:
-                                yield TextMessageEndEvent(
-                                    type=EventType.TEXT_MESSAGE_END,
-                                    message_id=message_id
+                            if behavior and behavior.stop_streaming_after_result:
+                                stop_text_streaming = True
+                                if message_started:
+                                    yield TextMessageEndEvent(
+                                        type=EventType.TEXT_MESSAGE_END,
+                                        message_id=message_id,
+                                    )
+                                    message_started = False
+                                halt_event_stream = True
+                                logger.debug(
+                                    f"Breaking event stream: stop_streaming_after_result behavior triggered (thread_id={input_data.thread_id}, tool_name={tool_name})"
                                 )
-                                message_started = False
-                            halt_event_stream = True
-                            logger.debug(f"Breaking event stream: stop_streaming_after_result behavior triggered (thread_id={input_data.thread_id}, tool_name={tool_name})")
-                            break
-                
-                # Handle tool calls
-                elif "current_tool_use" in event and event["current_tool_use"]:
-                    tool_use = event["current_tool_use"]
-                    tool_name = tool_use.get("name")
-                    strands_tool_id = tool_use.get("toolUseId")
-                    
-                    # Generate unique ID for frontend tools (to avoid ID conflicts across requests)
-                    # Use Strands' ID for backend tools (so result lookup works)
-                    is_frontend_tool = tool_name in frontend_tool_names
-                    if is_frontend_tool:
-                        tool_use_id = str(uuid.uuid4())
-                    else:
-                        tool_use_id = strands_tool_id or str(uuid.uuid4())
-                    
-                    logger.debug(f"Tool call event received: tool_name={tool_name}, tool_use_id={tool_use_id}, strands_id={strands_tool_id}, is_frontend={is_frontend_tool}, already_seen={tool_use_id in tool_calls_seen}, thread_id={input_data.thread_id}")
-
-                    if tool_name and tool_use_id not in tool_calls_seen:
-                        tool_input = tool_use.get("input", {})
-                        args_str = json.dumps(tool_input) if isinstance(tool_input, dict) else str(tool_input)
-                        tool_calls_seen[tool_use_id] = {
-                            "name": tool_name,
-                            "args": args_str,
-                            "input": tool_input,
-                        }
+                                # Continue consuming events silently to allow proper cleanup
+                                continue
+
+                    # Handle tool calls
+                    elif "current_tool_use" in event and event["current_tool_use"]:
+                        tool_use = event["current_tool_use"]
+                        tool_name = tool_use.get("name")
+                        strands_tool_id = tool_use.get("toolUseId")
 
+                        # Generate unique ID for frontend tools (to avoid ID conflicts across requests)
+                        # Use Strands' ID for backend tools (so result lookup works)
                         is_frontend_tool = tool_name in frontend_tool_names
-                        behavior = self.config.tool_behaviors.get(tool_name)
-                        
-                        logger.debug(f"Processing tool call: tool_name={tool_name}, tool_use_id={tool_use_id}, is_frontend_tool={is_frontend_tool}, has_pending_tool_result={has_pending_tool_result}, tool_calls_seen_count={len(tool_calls_seen)}, thread_id={input_data.thread_id}")
-                        call_context = ToolCallContext(
-                            input_data=input_data,
-                            tool_name=tool_name,
-                            tool_use_id=tool_use_id,
-                            tool_input=tool_input,
-                            args_str=args_str,
+
+                        # Check if we've already seen this tool (by Strands' internal ID)
+                        existing_entry = None
+                        for tid, data in tool_calls_seen.items():
+                            if data.get("strands_tool_id") == strands_tool_id:
+                                existing_entry = tid
+                                break
+
+                        if existing_entry:
+                            # Reuse the existing ID
+                            tool_use_id = existing_entry
+                        elif is_frontend_tool:
+                            # Generate new UUID for frontend tools
+                            tool_use_id = str(uuid.uuid4())
+                        else:
+                            # Use Strands' ID for backend tools
+                            tool_use_id = strands_tool_id or str(uuid.uuid4())
+
+                        logger.debug(
+                            f"Tool call event received: tool_name={tool_name}, tool_use_id={tool_use_id}, strands_id={strands_tool_id}, is_frontend={is_frontend_tool}, already_seen={tool_use_id in tool_calls_seen}, thread_id={input_data.thread_id}"
                         )
 
-                        if behavior and behavior.state_from_args:
+                        # Update tool input as it streams in
+                        tool_input_raw = tool_use.get("input", "")
+
+                        # Try to parse as JSON if it looks complete
+                        tool_input = {}
+                        if isinstance(tool_input_raw, str) and tool_input_raw:
                             try:
-                                snapshot = await maybe_await(behavior.state_from_args(call_context))
-                                if snapshot:
-                                    yield StateSnapshotEvent(
-                                        type=EventType.STATE_SNAPSHOT,
-                                        snapshot=snapshot
-                                    )
-                            except Exception:
-                                pass
-
-                        if behavior:
-                            predict_state_payload = [
-                                mapping.to_payload() for mapping in normalize_predict_state(behavior.predict_state)
-                            ]
-                            if predict_state_payload:
-                                yield CustomEvent(
-                                    type=EventType.CUSTOM,
-                                    name="PredictState",
-                                    value=predict_state_payload,
+                                tool_input = json.loads(tool_input_raw)
+                            except json.JSONDecodeError:
+                                # Input is still streaming, keep as string
+                                tool_input = tool_input_raw
+                        elif isinstance(tool_input_raw, dict):
+                            tool_input = tool_input_raw
+
+                        args_str = (
+                            json.dumps(tool_input)
+                            if isinstance(tool_input, dict)
+                            else str(tool_input)
+                        )
+
+                        # Track or update tool call as input streams in
+                        is_new_tool_call = (
+                            tool_name and tool_use_id not in tool_calls_seen
+                        )
+                        if is_new_tool_call:
+                            tool_calls_seen[tool_use_id] = {
+                                "name": tool_name,
+                                "args": args_str,
+                                "input": tool_input,
+                                "emitted": False,  # Track if we've emitted events
+                                "strands_tool_id": strands_tool_id,
+                            }
+                        elif tool_name and tool_use_id in tool_calls_seen:
+                            # Update the input and args as they stream in
+                            tool_calls_seen[tool_use_id]["input"] = tool_input
+                            tool_calls_seen[tool_use_id]["args"] = args_str
+
+                    # Handle content block stop - this signals tool input is complete
+                    elif "event" in event and isinstance(event.get("event"), dict):
+                        inner_event = event["event"]
+                        if "contentBlockStop" in inner_event:
+                            # Find the most recent tool call that hasn't been emitted yet
+                            tool_name = None
+                            tool_input = None
+                            args_str = None
+                            tool_use_id = None
+
+                            for tid, tool_data in tool_calls_seen.items():
+                                if not tool_data.get("emitted", True):
+                                    tool_name = tool_data["name"]
+                                    tool_input = tool_data["input"]
+                                    args_str = tool_data["args"]
+                                    tool_use_id = tid
+                                    break  # Process one tool at a time
+
+                            # Only process if we found a tool to emit
+                            if tool_name and tool_use_id:
+                                # Mark as emitted
+                                tool_calls_seen[tool_use_id]["emitted"] = True
+
+                                is_frontend_tool = tool_name in frontend_tool_names
+                                behavior = self.config.tool_behaviors.get(tool_name)
+
+                                logger.debug(
+                                    f"Processing tool call on contentBlockStop: tool_name={tool_name}, tool_use_id={tool_use_id}, is_frontend_tool={is_frontend_tool}, has_pending_tool_result={has_pending_tool_result}, args_str={args_str}, thread_id={input_data.thread_id}"
+                                )
+                                call_context = ToolCallContext(
+                                    input_data=input_data,
+                                    tool_name=tool_name,
+                                    tool_use_id=tool_use_id,
+                                    tool_input=tool_input,
+                                    args_str=args_str,
                                 )
-                        if  has_pending_tool_result:
 
-                            logger.debug(f"Skipping tool call START event due to has_pending_tool_result for {tool_name} (tool_use_id={tool_use_id}, thread_id={input_data.thread_id})")
+                                if behavior and behavior.state_from_args:
+                                    try:
+                                        snapshot = await maybe_await(
+                                            behavior.state_from_args(call_context)
+                                        )
+                                        if snapshot:
+                                            yield StateSnapshotEvent(
+                                                type=EventType.STATE_SNAPSHOT,
+                                                snapshot=snapshot,
+                                            )
+                                    except Exception as e:
+                                        logger.warning(
+                                            f"state_from_args failed for {tool_name}: {e}",
+                                            exc_info=True,
+                                        )
 
-                        if not has_pending_tool_result:
-                            logger.debug(f"Emitting tool call events for {tool_name} (tool_use_id={tool_use_id}, thread_id={input_data.thread_id})")
-                            yield ToolCallStartEvent(
-                                type=EventType.TOOL_CALL_START,
-                                tool_call_id=tool_use_id,
-                                tool_call_name=tool_name,
-                                parent_message_id=message_id
-                            )
+                                if behavior:
+                                    predict_state_payload = [
+                                        mapping.to_payload()
+                                        for mapping in normalize_predict_state(
+                                            behavior.predict_state
+                                        )
+                                    ]
+                                    if predict_state_payload:
+                                        yield CustomEvent(
+                                            type=EventType.CUSTOM,
+                                            name="PredictState",
+                                            value=predict_state_payload,
+                                        )
+                                if has_pending_tool_result:
+                                    logger.debug(
+                                        f"Skipping tool call START event due to has_pending_tool_result for {tool_name} (tool_use_id={tool_use_id}, thread_id={input_data.thread_id})"
+                                    )
 
-                            if behavior and behavior.args_streamer:
-                                try:
-                                    async for chunk in behavior.args_streamer(call_context):
-                                        if chunk is None:
-                                            continue
+                                if not has_pending_tool_result:
+                                    logger.debug(
+                                        f"Emitting tool call events for {tool_name} (tool_use_id={tool_use_id}, thread_id={input_data.thread_id})"
+                                    )
+                                    yield ToolCallStartEvent(
+                                        type=EventType.TOOL_CALL_START,
+                                        tool_call_id=tool_use_id,
+                                        tool_call_name=tool_name,
+                                        parent_message_id=message_id,
+                                    )
+
+                                    if behavior and behavior.args_streamer:
+                                        try:
+                                            async for chunk in behavior.args_streamer(
+                                                call_context
+                                            ):
+                                                if chunk is None:
+                                                    continue
+                                                yield ToolCallArgsEvent(
+                                                    type=EventType.TOOL_CALL_ARGS,
+                                                    tool_call_id=tool_use_id,
+                                                    delta=str(chunk),
+                                                )
+                                        except Exception as e:
+                                            logger.warning(
+                                                f"args_streamer failed for {tool_name}, falling back to full args: {e}"
+                                            )
+                                            yield ToolCallArgsEvent(
+                                                type=EventType.TOOL_CALL_ARGS,
+                                                tool_call_id=tool_use_id,
+                                                delta=args_str,
+                                            )
+                                    else:
                                         yield ToolCallArgsEvent(
                                             type=EventType.TOOL_CALL_ARGS,
                                             tool_call_id=tool_use_id,
-                                            delta=str(chunk)
+                                            delta=args_str,
                                         )
-                                except Exception:
-                                    yield ToolCallArgsEvent(
-                                        type=EventType.TOOL_CALL_ARGS,
+
+                                    yield ToolCallEndEvent(
+                                        type=EventType.TOOL_CALL_END,
                                         tool_call_id=tool_use_id,
-                                        delta=args_str
                                     )
-                            else:
-                                yield ToolCallArgsEvent(
-                                    type=EventType.TOOL_CALL_ARGS,
-                                    tool_call_id=tool_use_id,
-                                    delta=args_str
-                                )
 
-                            yield ToolCallEndEvent(
-                                type=EventType.TOOL_CALL_END,
-                                tool_call_id=tool_use_id
-                            )
+                                    if is_frontend_tool and not (
+                                        behavior
+                                        and behavior.continue_after_frontend_call
+                                    ):
+                                        logger.debug(
+                                            f"Breaking event stream: frontend tool call completed (thread_id={input_data.thread_id}, tool_name={tool_name}, tool_call_id={tool_use_id}, has_behavior={behavior is not None}, continue_after_frontend_call={behavior.continue_after_frontend_call if behavior else None})"
+                                        )
+                                        halt_event_stream = True
+                                        # Continue consuming events silently to allow proper cleanup
+                                        continue
+            finally:
+                # Properly close the async generator to avoid context detachment errors
+                # The generator should complete naturally when we consume all events,
+                # but we still try to close it explicitly to be safe
+                try:
+                    # Check if generator is already closed/exhausted
+                    if not agent_stream.ag_running:
+                        # Generator is already closed, nothing to do
+                        pass
+                    else:
+                        # Try to close gracefully, but suppress context-related errors
+                        await agent_stream.aclose()
+                except (
+                    GeneratorExit,
+                    ValueError,
+                    RuntimeError,
+                    StopAsyncIteration,
+                ) as e:
+                    # Suppress context detachment errors - they occur when the generator
+                    # is closed in a different context, but don't affect functionality
+                    # These errors are logged by Strands internally, we just prevent them from propagating
+                    pass
+                except AttributeError:
+                    # Generator doesn't have ag_running attribute (older Python versions)
+                    # Just try to close it
+                    try:
+                        await agent_stream.aclose()
+                    except (
+                        GeneratorExit,
+                        ValueError,
+                        RuntimeError,
+                        StopAsyncIteration,
+                    ):
+                        pass
+                except Exception as e:
+                    # Log other errors but don't fail
+                    logger.warning(f"Error closing agent stream: {e}")
 
-                            if is_frontend_tool and not (behavior and behavior.continue_after_frontend_call):
-                                logger.debug(f"Breaking event stream: frontend tool call completed (thread_id={input_data.thread_id}, tool_name={tool_name}, tool_call_id={tool_use_id}, has_behavior={behavior is not None}, continue_after_frontend_call={behavior.continue_after_frontend_call if behavior else None})")
-                                break
-            
             # End message if started
             if message_started:
                 yield TextMessageEndEvent(
-                    type=EventType.TEXT_MESSAGE_END,
-                    message_id=message_id
+                    type=EventType.TEXT_MESSAGE_END, message_id=message_id
                 )
-            
+
             # Always finish the run - frontend handles keeping action executing
             yield RunFinishedEvent(
                 type=EventType.RUN_FINISHED,
                 thread_id=input_data.thread_id,
-                run_id=input_data.run_id                    
+                run_id=input_data.run_id,
             )
-            
+
         except Exception as e:
             import traceback
+
             traceback.print_exc()
             yield RunErrorEvent(
-                type=EventType.RUN_ERROR,
-                message=str(e),
-                code="STRANDS_ERROR"
+                type=EventType.RUN_ERROR, message=str(e), code="STRANDS_ERROR"
             )
diff --git a/integrations/aws-strands/python/uv.lock b/integrations/aws-strands/python/uv.lock
new file mode 100644
index 000000000..5f3c569ef
--- /dev/null
+++ b/integrations/aws-strands/python/uv.lock
@@ -0,0 +1,813 @@
+version = 1
+revision = 2
+requires-python = ">=3.12, <3.14"
+
+[[package]]
+name = "ag-ui-protocol"
+version = "0.1.10"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "pydantic" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/67/bb/5a5ec893eea5805fb9a3db76a9888c3429710dfb6f24bbb37568f2cf7320/ag_ui_protocol-0.1.10.tar.gz", hash = "sha256:3213991c6b2eb24bb1a8c362ee270c16705a07a4c5962267a083d0959ed894f4", size = 6945, upload-time = "2025-11-06T15:17:17.068Z" }
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+]
+
+[[package]]
+name = "ag-ui-strands"
+version = "0.1.0"
+source = { editable = "." }
+dependencies = [
+    { name = "ag-ui-protocol" },
+    { name = "fastapi" },
+    { name = "strands-agents" },
+]
+
+[package.metadata]
+requires-dist = [
+    { name = "ag-ui-protocol", specifier = ">=0.1.10" },
+    { name = "fastapi", specifier = ">=0.115.12" },
+    { name = "strands-agents", specifier = ">=1.15.0" },
+]
+
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+]
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