Python: restructure: Python samples into progressive 01-05 layout (#3862)

* restructure: Python samples into progressive 01-05 layout

- 01-get-started/: 6 numbered steps (hello agent → hosting)
- 02-agents/: all agent concept samples (tools, middleware, providers, etc.)
- 03-workflows/: ALL existing workflow samples preserved as-is
- 04-hosting/: azure-functions, durabletask, a2a
- 05-end-to-end/: demos, evaluation, hosted agents
- Old files moved to _to_delete/ for review
- Added AGENTS.md with structure documentation
- autogen-migration/ and semantic-kernel-migration/ preserved at root

* fix: switch to AzureOpenAI Foundry, fix CI failures

- Switch all 01-get-started samples to AzureOpenAIResponsesClient with
  Azure AI Foundry project endpoint (AZURE_AI_PROJECT_ENDPOINT +
  AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME + AzureCliCredential)
- Add _to_delete/ and 05-end-to-end/ to pyrightconfig.samples.json excludes
- Fix test paths in packages/ that referenced old getting_started/ dirs:
  durabletask conftest + streaming test, azurefunctions conftest,
  devui conftest + capture_messages + openai_sdk_integration
- Fix workflow_as_agent_human_in_the_loop.py import (sibling import)
- Update hosting READMEs and tool comment paths
- Replace root README.md with new structure overview
- Update AGENTS.md to document Azure OpenAI Foundry as default provider

* cleanup: remove _to_delete folder, copy resource files to active dirs

All files in _to_delete/ were either:
- Exact duplicates of files in the new structure (240 files)
- Same file with only comment path updates (100 files)
- One import-fix diff (workflow_as_agent_human_in_the_loop.py)
- One superseded minimal_sample.py

Resource files (sample.pdf, countries.json, employees.pdf, weather.json)
copied to 02-agents/sample_assets/ and 02-agents/resources/ since active
samples reference them.

* fix: address PR review comments, centralize resources, remove root duplicates

- Fix type annotation in 04_memory.py (string union -> proper types)
- Fix old sample paths in observability files
- Fix grammar/spelling in observability samples
- Move sample_assets/ and resources/ to shared/ folder
- Remove 8 duplicate observability files from 02-agents root
- Update resource path references in multimodal_input and provider samples

* fix: update broken links from old getting_started paths to new structure

- Update relative paths in READMEs: getting_started/ → 01-get-started/,
  02-agents/, 03-workflows/, 04-hosting/, 05-end-to-end/
- Fix absolute GitHub URLs in package READMEs
- Fix broken link in ollama package README

* fix: convert absolute GitHub URLs to relative paths for link checker

Absolute URLs to python/samples/ on main branch 404 until PR merges.
Converted to relative paths that linkspector can verify locally.

* fix: update link for handoff sample moved to orchestrations/

* fix: update chatkit-integration README path from demos/ to 05-end-to-end/

* fix: update broken links in orchestrations README to match flat directory structure

README.md

@@ -53,7 +53,7 @@ Still have questions? Join our [weekly office hours](./COMMUNITY.md#public-commu
 ### ✨ **Highlights**
 
 - **Graph-based Workflows**: Connect agents and deterministic functions using data flows with streaming, checkpointing, human-in-the-loop, and time-travel capabilities
-  - [Python workflows](./python/samples/getting_started/workflows/) | [.NET workflows](./dotnet/samples/GettingStarted/Workflows/)
+  - [Python workflows](./python/samples/03-workflows/) | [.NET workflows](./dotnet/samples/GettingStarted/Workflows/)
 - **AF Labs**: Experimental packages for cutting-edge features including benchmarking, reinforcement learning, and research initiatives
   - [Labs directory](./python/packages/lab/)
 - **DevUI**: Interactive developer UI for agent development, testing, and debugging workflows
@@ -73,11 +73,11 @@ Still have questions? Join our [weekly office hours](./COMMUNITY.md#public-commu
 - **Python and C#/.NET Support**: Full framework support for both Python and C#/.NET implementations with consistent APIs
   - [Python packages](./python/packages/) | [.NET source](./dotnet/src/)
 - **Observability**: Built-in OpenTelemetry integration for distributed tracing, monitoring, and debugging
-  - [Python observability](./python/samples/getting_started/observability/) | [.NET telemetry](./dotnet/samples/GettingStarted/AgentOpenTelemetry/)
+  - [Python observability](./python/samples/02-agents/observability/) | [.NET telemetry](./dotnet/samples/GettingStarted/AgentOpenTelemetry/)
 - **Multiple Agent Provider Support**: Support for various LLM providers with more being added continuously
-  - [Python examples](./python/samples/getting_started/agents/) | [.NET examples](./dotnet/samples/GettingStarted/AgentProviders/)
+  - [Python examples](./python/samples/02-agents/providers/) | [.NET examples](./dotnet/samples/GettingStarted/AgentProviders/)
 - **Middleware**: Flexible middleware system for request/response processing, exception handling, and custom pipelines
-  - [Python middleware](./python/samples/getting_started/middleware/) | [.NET middleware](./dotnet/samples/GettingStarted/Agents/Agent_Step14_Middleware/)
+  - [Python middleware](./python/samples/02-agents/middleware/) | [.NET middleware](./dotnet/samples/GettingStarted/Agents/Agent_Step14_Middleware/)
 
 ### 💬 **We want your feedback!**
 
@@ -159,9 +159,9 @@ Console.WriteLine(await agent.RunAsync("Write a haiku about Microsoft Agent Fram
 
 ### Python
 
-- [Getting Started with Agents](./python/samples/getting_started/agents): basic agent creation and tool usage
-- [Chat Client Examples](./python/samples/getting_started/chat_client): direct chat client usage patterns
-- [Getting Started with Workflows](./python/samples/getting_started/workflows): basic workflow creation and integration with agents
+- [Getting Started with Agents](./python/samples/01-get-started): progressive tutorial from hello-world to hosting
+- [Agent Concepts](./python/samples/02-agents): deep-dive samples by topic (tools, middleware, providers, etc.)
+- [Getting Started with Workflows](./python/samples/03-workflows): workflow creation and integration with agents
 
 ### .NET
 

agent-samples/README.md

@@ -1,3 +1,3 @@
 # Declarative Agents
 
-This folder contains sample agent definitions that can be run using the declarative agent support, for python see the [declarative agent python sample folder](../python/samples/getting_started/declarative/).
+This folder contains sample agent definitions that can be run using the declarative agent support, for python see the [declarative agent python sample folder](../python/samples/02-agents/declarative/).

docs/decisions/0012-python-typeddict-options.md

@@ -126,4 +126,4 @@ response = await client.get_response(
 
 Chosen option: **"Option 2: TypedDict with Generic Type Parameters"**, because it provides full type safety, excellent IDE support with autocompletion, and allows users to extend provider-specific options for their use cases. Extended this Generic to ChatAgents in order to also properly type the options used in agent construction and run methods.
 
-See [typed_options.py](../../python/samples/concepts/typed_options.py) for a complete example demonstrating the usage of typed options with custom extensions.
+See [typed_options.py](../../python/samples/02-agents/typed_options.py) for a complete example demonstrating the usage of typed options with custom extensions.

python/README.md

@@ -70,7 +70,7 @@ client = AzureOpenAIChatClient(
 )
 ```
 
-See the following [setup guide](https://github.com/microsoft/agent-framework/tree/main/python/samples/getting_started) for more information.
+See the following [setup guide](samples/01-get-started) for more information.
 
 ## 2. Create a Simple Agent
 
@@ -181,7 +181,7 @@ if __name__ == "__main__":
     asyncio.run(main())
 ```
 
-You can explore additional agent samples [here](https://github.com/microsoft/agent-framework/tree/main/python/samples/getting_started/agents).
+You can explore additional agent samples [here](samples/02-agents).
 
 ## 5. Multi-Agent Orchestration
 
@@ -233,14 +233,14 @@ if __name__ == "__main__":
     asyncio.run(main())
 ```
 
-For more advanced orchestration patterns including Sequential, Concurrent, Group Chat, Handoff, and Magentic orchestrations, see the [orchestration samples](samples/getting_started/orchestrations).
+For more advanced orchestration patterns including Sequential, Concurrent, Group Chat, Handoff, and Magentic orchestrations, see the [orchestration samples](samples/02-agents/orchestrations).
 
 ## More Examples & Samples
 
-- [Getting Started with Agents](https://github.com/microsoft/agent-framework/tree/main/python/samples/getting_started/agents): Basic agent creation and tool usage
-- [Chat Client Examples](https://github.com/microsoft/agent-framework/tree/main/python/samples/getting_started/chat_client): Direct chat client usage patterns
+- [Getting Started with Agents](samples/02-agents): Basic agent creation and tool usage
+- [Chat Client Examples](samples/02-agents/chat_client): Direct chat client usage patterns
 - [Azure AI Integration](https://github.com/microsoft/agent-framework/tree/main/python/packages/azure-ai): Azure AI integration
-- [Workflow Samples](https://github.com/microsoft/agent-framework/tree/main/python/samples/getting_started/workflows): Advanced multi-agent patterns
+- [Workflow Samples](samples/03-workflows): Advanced multi-agent patterns
 
 ## Agent Framework Documentation
 

python/packages/a2a/README.md

@@ -12,7 +12,7 @@ The A2A agent integration enables communication with remote A2A-compliant agents
 
 ### Basic Usage Example
 
-See the [A2A agent examples](https://github.com/microsoft/agent-framework/tree/main/python/samples/getting_started/agents/a2a/) which demonstrate:
+See the [A2A agent examples](../../samples/04-hosting/a2a/) which demonstrate:
 
 - Connecting to remote A2A agents
 - Sending messages and receiving responses

python/packages/anthropic/README.md

@@ -12,7 +12,7 @@ The Anthropic integration enables communication with the Anthropic API, allowing
 
 ### Basic Usage Example
 
-See the [Anthropic agent examples](https://github.com/microsoft/agent-framework/tree/main/python/samples/getting_started/agents/anthropic/) which demonstrate:
+See the [Anthropic agent examples](../../samples/02-agents/providers/anthropic/) which demonstrate:
 
 - Connecting to a Anthropic endpoint with an agent
 - Streaming and non-streaming responses

python/packages/azure-ai-search/README.md

@@ -15,7 +15,7 @@ The Azure AI Search integration provides context providers for RAG (Retrieval Au
 
 ### Basic Usage Example
 
-See the [Azure AI Search context provider examples](https://github.com/microsoft/agent-framework/tree/main/python/samples/getting_started/agents/azure_ai/) which demonstrate:
+See the [Azure AI Search context provider examples](../../samples/02-agents/providers/azure_ai/) which demonstrate:
 
 - Semantic search with hybrid (vector + keyword) queries
 - Agentic mode with Knowledge Bases for complex multi-hop reasoning

python/packages/azurefunctions/tests/integration_tests/conftest.py

@@ -300,7 +300,7 @@ def _get_sample_path_from_marker(request: pytest.FixtureRequest) -> tuple[Path |
 
     sample_name = marker.args[0]
     repo_root = _resolve_repo_root()
-    sample_path = repo_root / "samples" / "getting_started" / "azure_functions" / sample_name
+    sample_path = repo_root / "samples" / "04-hosting" / "azure_functions" / sample_name
 
     if not sample_path.exists():
         return None, f"Sample directory does not exist: {sample_path}"

python/packages/chatkit/README.md

@@ -124,4 +124,4 @@ async def chatkit_endpoint(request: Request):
         return Response(content=result.json, media_type="application/json")  # type: ignore[union-attr]
 ```
 
-For a complete end-to-end example with a full frontend, see the [weather agent sample](../../samples/demos/chatkit-integration/README.md).
+For a complete end-to-end example with a full frontend, see the [weather agent sample](../../samples/05-end-to-end/chatkit-integration/README.md).

python/packages/copilotstudio/README.md

@@ -89,7 +89,7 @@ The package uses MSAL (Microsoft Authentication Library) for authentication with
 
 ### Examples
 
-For more comprehensive examples, see the [Copilot Studio examples](https://github.com/microsoft/agent-framework/tree/main/python/samples/getting_started/agents/copilotstudio/) which demonstrate:
+For more comprehensive examples, see the [Copilot Studio examples](../../samples/02-agents/providers/copilotstudio/) which demonstrate:
 
 - Basic non-streaming and streaming execution
 - Explicit settings and manual token acquisition

python/packages/core/README.md

@@ -53,7 +53,7 @@ client = AzureOpenAIChatClient(
 )
 ```
 
-See the following [setup guide](https://github.com/microsoft/agent-framework/tree/main/python/samples/getting_started) for more information.
+See the following [setup guide](../../samples/01-get-started) for more information.
 
 ## 2. Create a Simple Agent
 
@@ -161,7 +161,7 @@ async def main():
 asyncio.run(main())
 ```
 
-You can explore additional agent samples [here](https://github.com/microsoft/agent-framework/tree/main/python/samples/getting_started/agents).
+You can explore additional agent samples [here](../../samples/02-agents).
 
 ## 5. Multi-Agent Orchestration
 
@@ -213,12 +213,12 @@ if __name__ == "__main__":
     asyncio.run(main())
 ```
 
-**Note**: Sequential, Concurrent, Group Chat, Handoff, and Magentic orchestrations are available. See examples in [orchestration samples](../../samples/getting_started/orchestrations).
+**Note**: Sequential, Concurrent, Group Chat, Handoff, and Magentic orchestrations are available. See examples in [orchestration samples](../../samples/02-agents/orchestrations).
 
 ## More Examples & Samples
 
-- [Getting Started with Agents](https://github.com/microsoft/agent-framework/tree/main/python/samples/getting_started/agents): Basic agent creation and tool usage
-- [Chat Client Examples](https://github.com/microsoft/agent-framework/tree/main/python/samples/getting_started/chat_client): Direct chat client usage patterns
+- [Getting Started with Agents](../../samples/02-agents): Basic agent creation and tool usage
+- [Chat Client Examples](../../samples/02-agents/chat_client): Direct chat client usage patterns
 - [Azure AI Integration](https://github.com/microsoft/agent-framework/tree/main/python/packages/azure-ai): Azure AI integration
 - [.NET Workflows Samples](https://github.com/microsoft/agent-framework/tree/main/dotnet/samples/GettingStarted/Workflows): Advanced multi-agent patterns (.NET)
 

python/packages/declarative/tests/test_powerfx_yaml_compatibility.py

@@ -3,7 +3,7 @@
 """Tests to ensure PowerFx evaluation supports all expressions used in declarative YAML workflows.
 
 This test suite validates that all PowerFx expressions found in the sample YAML workflows
-under samples/getting_started/workflows/declarative/ work correctly with our implementation.
+under samples/03-workflows/declarative/ work correctly with our implementation.
 
 Coverage includes:
 - Built-in PowerFx functions: Concat, If, IsBlank, Not, Or, Upper, Find

python/packages/devui/README.md

@@ -373,7 +373,7 @@ This restricts developer APIs (reload, deployment, entity details) and requires
 
 ## Examples
 
-See working implementations in `python/samples/getting_started/devui/`
+See working implementations in `python/samples/02-agents/devui/`
 
 ## License
 

python/packages/devui/dev.md

@@ -45,7 +45,7 @@ AZURE_OPENAI_CHAT_DEPLOYMENT_NAME="your-deployment-name"
 **Option A: In-Memory Mode (Recommended for quick testing)**
 
 ```bash
-cd samples/getting_started/devui
+cd samples/02-agents/devui
 python in_memory_mode.py
 ```
 
@@ -54,7 +54,7 @@ This runs a simple example with predefined agents and opens your browser automat
 **Option B: Directory-Based Discovery**
 
 ```bash
-cd samples/getting_started/devui
+cd samples/02-agents/devui
 devui
 ```
 

python/packages/devui/samples/README.md

@@ -7,7 +7,7 @@
 All DevUI samples are now located at:
 
 ```
-python/samples/getting_started/devui/
+python/samples/02-agents/devui/
 ```
 
 ## Available Samples
@@ -22,17 +22,17 @@ python/samples/getting_started/devui/
 ## Quick Start
 
 ```bash
-cd ../../samples/getting_started/devui
+cd ../../samples/02-agents/devui
 python in_memory_mode.py
 ```
 
 Or for directory discovery:
 
 ```bash
-cd ../../samples/getting_started/devui
+cd ../../samples/02-agents/devui
 devui
 ```
 
 ## Learn More
 
-See the [DevUI samples README](../../../samples/getting_started/devui/README.md) for detailed documentation.
+See the [DevUI samples README](../../../samples/02-agents/devui/README.md) for detailed documentation.

python/packages/devui/tests/devui/capture_messages.py

@@ -28,8 +28,8 @@ def start_server() -> tuple[str, Any]:
     """Start server with samples directory."""
     # Get samples directory - updated path after samples were moved
     current_dir = Path(__file__).parent
-    # Samples are now in python/samples/getting_started/devui
-    samples_dir = current_dir.parent.parent.parent / "samples" / "getting_started" / "devui"
+    # Samples are now in python/samples/02-agents/devui
+    samples_dir = current_dir.parent.parent.parent / "samples" / "02-agents" / "devui"
 
     if not samples_dir.exists():
         raise RuntimeError(f"Samples directory not found: {samples_dir}")

python/packages/devui/tests/devui/conftest.py

@@ -413,8 +413,8 @@ def executor_failed_event() -> WorkflowEvent[WorkflowErrorDetails]:
 def test_entities_dir() -> str:
     """Use the samples directory which has proper entity structure."""
     current_dir = Path(__file__).parent
-    # Navigate to python/samples/getting_started/devui
-    samples_dir = current_dir.parent.parent.parent.parent / "samples" / "getting_started" / "devui"
+    # Navigate to python/samples/02-agents/devui
+    samples_dir = current_dir.parent.parent.parent.parent / "samples" / "02-agents" / "devui"
     return str(samples_dir.resolve())
 
 

python/packages/devui/tests/devui/test_openai_sdk_integration.py

@@ -28,7 +28,7 @@ def devui_server() -> Generator[str, None, None]:
     """
     # Get samples directory
     current_dir = Path(__file__).parent
-    samples_dir = current_dir.parent.parent.parent / "samples" / "getting_started" / "devui"
+    samples_dir = current_dir.parent.parent.parent / "samples" / "02-agents" / "devui"
 
     if not samples_dir.exists():
         pytest.skip(f"Samples directory not found: {samples_dir}")

python/packages/durabletask/tests/integration_tests/conftest.py

@@ -382,7 +382,7 @@ def worker_process(
         pytest.fail("Test class must have @pytest.mark.sample() marker")
 
     sample_name: str = cast(str, sample_marker.args[0])  # type: ignore[union-attr]
-    sample_path: Path = Path(__file__).parents[4] / "samples" / "getting_started" / "durabletask" / sample_name
+    sample_path: Path = Path(__file__).parents[4] / "samples" / "04-hosting" / "durabletask" / sample_name
     worker_file: Path = sample_path / "worker.py"
 
     if not worker_file.exists():

python/packages/durabletask/tests/integration_tests/test_03_dt_single_agent_streaming.py

@@ -27,7 +27,7 @@ import pytest
 import redis.asyncio as aioredis
 
 # Add sample directory to path to import RedisStreamResponseHandler
-SAMPLE_DIR = Path(__file__).parents[4] / "samples" / "getting_started" / "durabletask" / "03_single_agent_streaming"
+SAMPLE_DIR = Path(__file__).parents[4] / "samples" / "04-hosting" / "durabletask" / "03_single_agent_streaming"
 sys.path.insert(0, str(SAMPLE_DIR))
 
 from redis_stream_response_handler import RedisStreamResponseHandler  # type: ignore[reportMissingImports] # noqa: E402

python/packages/mem0/README.md

@@ -12,7 +12,7 @@ The Mem0 context provider enables persistent memory capabilities for your agents
 
 ### Basic Usage Example
 
-See the [Mem0 basic example](https://github.com/microsoft/agent-framework/tree/main/python/samples/getting_started/context_providers/mem0/mem0_basic.py) which demonstrates:
+See the [Mem0 basic example](../../samples/02-agents/context_providers/mem0/mem0_basic.py) which demonstrates:
 
 - Setting up an agent with Mem0 context provider
 - Teaching the agent user preferences

python/packages/ollama/README.md

@@ -10,4 +10,4 @@ and see the [README](https://github.com/microsoft/agent-framework/tree/main/pyth
 
 # Run samples with the Ollama Conector
 
-You can find samples how to run the connector under the [Getting_started] (./getting_started/README.md) folder
+You can find samples how to run the connector in the [Ollama provider samples](../../samples/02-agents/providers/ollama).

python/packages/redis/README.md

@@ -14,7 +14,7 @@ The `RedisProvider` enables persistent context & memory capabilities for your ag
 
 #### Basic Usage Examples
 
-Review the set of [getting started examples](../../samples/getting_started/context_providers/redis/README.md) for using the Redis context provider.
+Review the set of [getting started examples](../../samples/02-agents/context_providers/redis/README.md) for using the Redis context provider.
 
 ### Redis Chat Message Store
 
@@ -30,7 +30,7 @@ The `RedisChatMessageStore` provides persistent conversation storage using Redis
 
 #### Basic Usage Examples
 
-See the complete [Redis chat message store examples](../../samples/getting_started/threads/redis_chat_message_store_thread.py) including:
+See the complete [Redis chat message store examples](../../samples/02-agents/conversations/redis_chat_message_store_thread.py) including:
 - User session management
 - Conversation persistence across restarts
 - Thread serialization and deserialization

python/pyrightconfig.samples.json

@@ -5,6 +5,8 @@
         "**/autogen-migration/**",
         "**/semantic-kernel-migration/**",
         "**/demos/**",
+        "**/_to_delete/**",
+        "**/05-end-to-end/**",
         "**/agent_with_foundry_tracing.py",
         "**/azure_responses_client_with_foundry.py"
     ],

python/samples/01-get-started/01_hello_agent.py

@@ -0,0 +1,53 @@
+# Copyright (c) Microsoft. All rights reserved.
+
+import asyncio
+import os
+
+from agent_framework.azure import AzureOpenAIResponsesClient
+from azure.identity import AzureCliCredential
+
+"""
+Hello Agent — Simplest possible agent
+
+This sample creates a minimal agent using AzureOpenAIResponsesClient via an
+Azure AI Foundry project endpoint, and runs it in both non-streaming and streaming modes.
+
+Environment variables:
+  AZURE_AI_PROJECT_ENDPOINT        — Your Azure AI Foundry project endpoint
+  AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME — Model deployment name (e.g. gpt-4o)
+"""
+
+
+async def main() -> None:
+    # <create_agent>
+    credential = AzureCliCredential()
+    client = AzureOpenAIResponsesClient(
+        project_endpoint=os.environ["AZURE_AI_PROJECT_ENDPOINT"],
+        deployment_name=os.environ["AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME"],
+        credential=credential,
+    )
+
+    agent = client.as_agent(
+        name="HelloAgent",
+        instructions="You are a friendly assistant. Keep your answers brief.",
+    )
+    # </create_agent>
+
+    # <run_agent>
+    # Non-streaming: get the complete response at once
+    result = await agent.run("What is the capital of France?")
+    print(f"Agent: {result}")
+    # </run_agent>
+
+    # <run_agent_streaming>
+    # Streaming: receive tokens as they are generated
+    print("Agent (streaming): ", end="", flush=True)
+    async for chunk in agent.run("Tell me a one-sentence fun fact.", stream=True):
+        if chunk.text:
+            print(chunk.text, end="", flush=True)
+    print()
+    # </run_agent_streaming>
+
+
+if __name__ == "__main__":
+    asyncio.run(main())

python/samples/01-get-started/02_add_tools.py

@@ -0,0 +1,61 @@
+# Copyright (c) Microsoft. All rights reserved.
+
+import asyncio
+import os
+from random import randint
+from typing import Annotated
+
+from agent_framework import tool
+from agent_framework.azure import AzureOpenAIResponsesClient
+from azure.identity import AzureCliCredential
+from pydantic import Field
+
+"""
+Add Tools — Give your agent a function tool
+
+This sample shows how to define a function tool with the @tool decorator
+and wire it into an agent so the model can call it.
+
+Environment variables:
+  AZURE_AI_PROJECT_ENDPOINT        — Your Azure AI Foundry project endpoint
+  AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME — Model deployment name (e.g. gpt-4o)
+"""
+
+
+# <define_tool>
+# NOTE: approval_mode="never_require" is for sample brevity.
+# Use "always_require" in production for user confirmation before tool execution.
+@tool(approval_mode="never_require")
+def get_weather(
+    location: Annotated[str, Field(description="The location to get the weather for.")],
+) -> str:
+    """Get the weather for a given location."""
+    conditions = ["sunny", "cloudy", "rainy", "stormy"]
+    return f"The weather in {location} is {conditions[randint(0, 3)]} with a high of {randint(10, 30)}°C."
+# </define_tool>
+
+
+async def main() -> None:
+    credential = AzureCliCredential()
+    client = AzureOpenAIResponsesClient(
+        project_endpoint=os.environ["AZURE_AI_PROJECT_ENDPOINT"],
+        deployment_name=os.environ["AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME"],
+        credential=credential,
+    )
+
+    # <create_agent_with_tools>
+    agent = client.as_agent(
+        name="WeatherAgent",
+        instructions="You are a helpful weather agent. Use the get_weather tool to answer questions.",
+        tools=get_weather,
+    )
+    # </create_agent_with_tools>
+
+    # <run_agent>
+    result = await agent.run("What's the weather like in Seattle?")
+    print(f"Agent: {result}")
+    # </run_agent>
+
+
+if __name__ == "__main__":
+    asyncio.run(main())

python/samples/01-get-started/03_multi_turn.py

@@ -0,0 +1,51 @@
+# Copyright (c) Microsoft. All rights reserved.
+
+import asyncio
+import os
+
+from agent_framework.azure import AzureOpenAIResponsesClient
+from azure.identity import AzureCliCredential
+
+"""
+Multi-Turn Conversations — Use AgentThread to maintain context
+
+This sample shows how to keep conversation history across multiple calls
+by reusing the same thread object.
+
+Environment variables:
+  AZURE_AI_PROJECT_ENDPOINT        — Your Azure AI Foundry project endpoint
+  AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME — Model deployment name (e.g. gpt-4o)
+"""
+
+
+async def main() -> None:
+    # <create_agent>
+    credential = AzureCliCredential()
+    client = AzureOpenAIResponsesClient(
+        project_endpoint=os.environ["AZURE_AI_PROJECT_ENDPOINT"],
+        deployment_name=os.environ["AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME"],
+        credential=credential,
+    )
+
+    agent = client.as_agent(
+        name="ConversationAgent",
+        instructions="You are a friendly assistant. Keep your answers brief.",
+    )
+    # </create_agent>
+
+    # <multi_turn>
+    # Create a thread to maintain conversation history
+    thread = agent.get_new_thread()
+
+    # First turn
+    result = await agent.run("My name is Alice and I love hiking.", thread=thread)
+    print(f"Agent: {result}\n")
+
+    # Second turn — the agent should remember the user's name and hobby
+    result = await agent.run("What do you remember about me?", thread=thread)
+    print(f"Agent: {result}")
+    # </multi_turn>
+
+
+if __name__ == "__main__":
+    asyncio.run(main())

python/samples/01-get-started/04_memory.py

@@ -0,0 +1,91 @@
+# Copyright (c) Microsoft. All rights reserved.
+
+import asyncio
+import os
+from collections.abc import MutableSequence
+from typing import Any
+
+from agent_framework import Context, ContextProvider, Message
+from agent_framework.azure import AzureOpenAIResponsesClient
+from azure.identity import AzureCliCredential
+
+"""
+Agent Memory with Context Providers
+
+Context providers let you inject dynamic instructions and context into each
+agent invocation. This sample defines a simple provider that tracks the user's
+name and enriches every request with personalization instructions.
+
+Environment variables:
+  AZURE_AI_PROJECT_ENDPOINT        — Your Azure AI Foundry project endpoint
+  AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME — Model deployment name (e.g. gpt-4o)
+"""
+
+
+# <context_provider>
+class UserNameProvider(ContextProvider):
+    """A simple context provider that remembers the user's name."""
+
+    def __init__(self) -> None:
+        self.user_name: str | None = None
+
+    async def invoking(self, messages: Message | MutableSequence[Message], **kwargs: Any) -> Context:
+        """Called before each agent invocation — add extra instructions."""
+        if self.user_name:
+            return Context(instructions=f"The user's name is {self.user_name}. Always address them by name.")
+        return Context(instructions="You don't know the user's name yet. Ask for it politely.")
+
+    async def invoked(
+        self,
+        request_messages: Message | list[Message] | None = None,
+        response_messages: "Message | list[Message] | None" = None,
+        invoke_exception: Exception | None = None,
+        **kwargs: Any,
+    ) -> None:
+        """Called after each agent invocation — extract information."""
+        msgs = [request_messages] if isinstance(request_messages, Message) else list(request_messages or [])
+        for msg in msgs:
+            text = msg.text if hasattr(msg, "text") else ""
+            if isinstance(text, str) and "my name is" in text.lower():
+                # Simple extraction — production code should use structured extraction
+                self.user_name = text.lower().split("my name is")[-1].strip().split()[0].capitalize()
+# </context_provider>
+
+
+async def main() -> None:
+    # <create_agent>
+    credential = AzureCliCredential()
+    client = AzureOpenAIResponsesClient(
+        project_endpoint=os.environ["AZURE_AI_PROJECT_ENDPOINT"],
+        deployment_name=os.environ["AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME"],
+        credential=credential,
+    )
+
+    memory = UserNameProvider()
+
+    agent = client.as_agent(
+        name="MemoryAgent",
+        instructions="You are a friendly assistant.",
+        context_provider=memory,
+    )
+    # </create_agent>
+
+    thread = agent.get_new_thread()
+
+    # The provider doesn't know the user yet — it will ask for a name
+    result = await agent.run("Hello! What's the square root of 9?", thread=thread)
+    print(f"Agent: {result}\n")
+
+    # Now provide the name — the provider extracts and stores it
+    result = await agent.run("My name is Alice", thread=thread)
+    print(f"Agent: {result}\n")
+
+    # Subsequent calls are personalized
+    result = await agent.run("What is 2 + 2?", thread=thread)
+    print(f"Agent: {result}\n")
+
+    print(f"[Memory] Stored user name: {memory.user_name}")
+
+
+if __name__ == "__main__":
+    asyncio.run(main())

python/samples/01-get-started/05_first_workflow.py

@@ -0,0 +1,72 @@
+# Copyright (c) Microsoft. All rights reserved.
+
+import asyncio
+
+from agent_framework import (
+    Executor,
+    WorkflowBuilder,
+    WorkflowContext,
+    executor,
+    handler,
+)
+from typing_extensions import Never
+
+"""
+First Workflow — Chain executors with edges
+
+This sample builds a minimal workflow with two steps:
+1. Convert text to uppercase (class-based executor)
+2. Reverse the text (function-based executor)
+
+No external services are required.
+"""
+
+
+# <create_workflow>
+# Step 1: A class-based executor that converts text to uppercase
+class UpperCase(Executor):
+    def __init__(self, id: str):
+        super().__init__(id=id)
+
+    @handler
+    async def to_upper_case(self, text: str, ctx: WorkflowContext[str]) -> None:
+        """Convert input to uppercase and forward to the next node."""
+        await ctx.send_message(text.upper())
+
+
+# Step 2: A function-based executor that reverses the string and yields output
+@executor(id="reverse_text")
+async def reverse_text(text: str, ctx: WorkflowContext[Never, str]) -> None:
+    """Reverse the string and yield the final workflow output."""
+    await ctx.yield_output(text[::-1])
+
+
+def create_workflow():
+    """Build the workflow: UpperCase → reverse_text."""
+    upper = UpperCase(id="upper_case")
+    return (
+        WorkflowBuilder(start_executor=upper)
+        .add_edge(upper, reverse_text)
+        .build()
+    )
+# </create_workflow>
+
+
+async def main() -> None:
+    # <run_workflow>
+    workflow = create_workflow()
+
+    events = await workflow.run("hello world")
+    print(f"Output: {events.get_outputs()}")
+    print(f"Final state: {events.get_final_state()}")
+    # </run_workflow>
+
+    """
+    Expected output:
+      Output: ['DLROW OLLEH']
+      Final state: WorkflowRunState.IDLE
+    """
+
+
+if __name__ == "__main__":
+    asyncio.run(main())

python/samples/01-get-started/06_host_your_agent.py

@@ -0,0 +1,60 @@
+# Copyright (c) Microsoft. All rights reserved.
+
+import asyncio
+import os
+
+from agent_framework.azure import AzureOpenAIResponsesClient
+from azure.identity import AzureCliCredential
+
+"""
+Host Your Agent — Minimal A2A hosting stub
+
+This sample shows the pattern for exposing an agent via the Agent-to-Agent
+(A2A) protocol. It creates the agent and demonstrates how to wrap it with
+the A2A hosting layer.
+
+Prerequisites:
+  pip install agent-framework[a2a] --pre
+
+Environment variables:
+  AZURE_AI_PROJECT_ENDPOINT        — Your Azure AI Foundry project endpoint
+  AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME — Model deployment name (e.g. gpt-4o)
+
+To run a full A2A server, see samples/04-hosting/a2a/ for a complete example.
+"""
+
+
+async def main() -> None:
+    # <create_agent>
+    credential = AzureCliCredential()
+    client = AzureOpenAIResponsesClient(
+        project_endpoint=os.environ["AZURE_AI_PROJECT_ENDPOINT"],
+        deployment_name=os.environ["AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME"],
+        credential=credential,
+    )
+
+    agent = client.as_agent(
+        name="HostedAgent",
+        instructions="You are a helpful assistant exposed via A2A.",
+    )
+    # </create_agent>
+
+    # <host_agent>
+    # The A2A hosting integration wraps your agent behind an HTTP endpoint.
+    # Import is gated so this sample can run without the a2a extra installed.
+    try:
+        from agent_framework.a2a import A2AAgent  # noqa: F401
+
+        print("A2A support is available.")
+        print("See samples/04-hosting/a2a/ for a runnable A2A server example.")
+    except ImportError:
+        print("Install a2a extras: pip install agent-framework[a2a] --pre")
+
+    # Quick smoke-test: run the agent locally to verify it works
+    result = await agent.run("Hello! What can you do?")
+    print(f"Agent: {result}")
+    # </host_agent>
+
+
+if __name__ == "__main__":
+    asyncio.run(main())

python/samples/01-get-started/README.md

@@ -0,0 +1,34 @@
+# Get Started with Agent Framework for Python
+
+This folder contains a progressive set of samples that introduce the core
+concepts of **Agent Framework** one step at a time.
+
+## Prerequisites
+
+```bash
+pip install agent-framework --pre
+```
+
+Set the required environment variables:
+
+```bash
+export OPENAI_API_KEY="sk-..."
+export OPENAI_RESPONSES_MODEL_ID="gpt-4o"   # optional, defaults to gpt-4o
+```
+
+## Samples
+
+| # | File | What you'll learn |
+|---|------|-------------------|
+| 1 | [01_hello_agent.py](01_hello_agent.py) | Create your first agent and run it (streaming and non-streaming). |
+| 2 | [02_add_tools.py](02_add_tools.py) | Define a function tool with `@tool` and attach it to an agent. |
+| 3 | [03_multi_turn.py](03_multi_turn.py) | Keep conversation history across turns with `AgentThread`. |
+| 4 | [04_memory.py](04_memory.py) | Add dynamic context with a custom `ContextProvider`. |
+| 5 | [05_first_workflow.py](05_first_workflow.py) | Chain executors into a workflow with edges. |
+| 6 | [06_host_your_agent.py](06_host_your_agent.py) | Prepare your agent for A2A hosting. |
+
+Run any sample with:
+
+```bash
+python 01_hello_agent.py
+```

python/samples/02-agents/chat_client/azure_ai_chat_client.py

@@ -17,7 +17,7 @@ Shows function calling capabilities with custom business logic.
 """
 
 
-# NOTE: approval_mode="never_require" is for sample brevity. Use "always_require" in production; see samples/getting_started/tools/function_tool_with_approval.py and samples/getting_started/tools/function_tool_with_approval_and_threads.py.
+# NOTE: approval_mode="never_require" is for sample brevity. Use "always_require" in production; see samples/02-agents/tools/function_tool_with_approval.py and samples/02-agents/tools/function_tool_with_approval_and_threads.py.
 @tool(approval_mode="never_require")
 def get_weather(
     location: Annotated[str, Field(description="The location to get the weather for.")],

python/samples/02-agents/chat_client/azure_assistants_client.py

@@ -17,7 +17,7 @@ Shows function calling capabilities and automatic assistant creation.
 """
 
 
-# NOTE: approval_mode="never_require" is for sample brevity. Use "always_require" in production; see samples/getting_started/tools/function_tool_with_approval.py and samples/getting_started/tools/function_tool_with_approval_and_threads.py.
+# NOTE: approval_mode="never_require" is for sample brevity. Use "always_require" in production; see samples/02-agents/tools/function_tool_with_approval.py and samples/02-agents/tools/function_tool_with_approval_and_threads.py.
 @tool(approval_mode="never_require")
 def get_weather(
     location: Annotated[str, Field(description="The location to get the weather for.")],

python/samples/02-agents/chat_client/azure_chat_client.py

@@ -17,7 +17,7 @@ Shows function calling capabilities with custom business logic.
 """
 
 
-# NOTE: approval_mode="never_require" is for sample brevity. Use "always_require" in production; see samples/getting_started/tools/function_tool_with_approval.py and samples/getting_started/tools/function_tool_with_approval_and_threads.py.
+# NOTE: approval_mode="never_require" is for sample brevity. Use "always_require" in production; see samples/02-agents/tools/function_tool_with_approval.py and samples/02-agents/tools/function_tool_with_approval_and_threads.py.
 @tool(approval_mode="never_require")
 def get_weather(
     location: Annotated[str, Field(description="The location to get the weather for.")],

python/samples/02-agents/chat_client/azure_responses_client.py

@@ -17,7 +17,7 @@ Shows function calling capabilities with custom business logic.
 """
 
 
-# NOTE: approval_mode="never_require" is for sample brevity. Use "always_require" in production; see samples/getting_started/tools/function_tool_with_approval.py and samples/getting_started/tools/function_tool_with_approval_and_threads.py.
+# NOTE: approval_mode="never_require" is for sample brevity. Use "always_require" in production; see samples/02-agents/tools/function_tool_with_approval.py and samples/02-agents/tools/function_tool_with_approval_and_threads.py.
 @tool(approval_mode="never_require")
 def get_weather(
     location: Annotated[str, "The location to get the weather for."],

python/samples/02-agents/chat_client/openai_assistants_client.py

@@ -17,7 +17,7 @@ Shows function calling capabilities and automatic assistant creation.
 """
 
 
-# NOTE: approval_mode="never_require" is for sample brevity. Use "always_require" in production; see samples/getting_started/tools/function_tool_with_approval.py and samples/getting_started/tools/function_tool_with_approval_and_threads.py.
+# NOTE: approval_mode="never_require" is for sample brevity. Use "always_require" in production; see samples/02-agents/tools/function_tool_with_approval.py and samples/02-agents/tools/function_tool_with_approval_and_threads.py.
 @tool(approval_mode="never_require")
 def get_weather(
     location: Annotated[str, Field(description="The location to get the weather for.")],

python/samples/02-agents/chat_client/openai_chat_client.py

@@ -17,7 +17,7 @@ Shows function calling capabilities with custom business logic.
 """
 
 
-# NOTE: approval_mode="never_require" is for sample brevity. Use "always_require" in production; see samples/getting_started/tools/function_tool_with_approval.py and samples/getting_started/tools/function_tool_with_approval_and_threads.py.
+# NOTE: approval_mode="never_require" is for sample brevity. Use "always_require" in production; see samples/02-agents/tools/function_tool_with_approval.py and samples/02-agents/tools/function_tool_with_approval_and_threads.py.
 @tool(approval_mode="never_require")
 def get_weather(
     location: Annotated[str, Field(description="The location to get the weather for.")],

python/samples/02-agents/chat_client/openai_responses_client.py

@@ -17,7 +17,7 @@ Shows function calling capabilities with custom business logic.
 """
 
 
-# NOTE: approval_mode="never_require" is for sample brevity. Use "always_require" in production; see samples/getting_started/tools/function_tool_with_approval.py and samples/getting_started/tools/function_tool_with_approval_and_threads.py.
+# NOTE: approval_mode="never_require" is for sample brevity. Use "always_require" in production; see samples/02-agents/tools/function_tool_with_approval.py and samples/02-agents/tools/function_tool_with_approval_and_threads.py.
 @tool(approval_mode="never_require")
 def get_weather(
     location: Annotated[str, Field(description="The location to get the weather for.")],

python/samples/02-agents/context_providers/mem0/mem0_basic.py

@@ -9,7 +9,7 @@ from agent_framework.mem0 import Mem0Provider
 from azure.identity.aio import AzureCliCredential
 
 
-# NOTE: approval_mode="never_require" is for sample brevity. Use "always_require" in production; see samples/getting_started/tools/function_tool_with_approval.py and samples/getting_started/tools/function_tool_with_approval_and_threads.py.
+# NOTE: approval_mode="never_require" is for sample brevity. Use "always_require" in production; see samples/02-agents/tools/function_tool_with_approval.py and samples/02-agents/tools/function_tool_with_approval_and_threads.py.
 @tool(approval_mode="never_require")
 def retrieve_company_report(company_code: str, detailed: bool) -> str:
     if company_code != "CNTS":

python/samples/02-agents/context_providers/mem0/mem0_oss.py

@@ -10,7 +10,7 @@ from azure.identity.aio import AzureCliCredential
 from mem0 import AsyncMemory
 
 
-# NOTE: approval_mode="never_require" is for sample brevity. Use "always_require" in production; see samples/getting_started/tools/function_tool_with_approval.py and samples/getting_started/tools/function_tool_with_approval_and_threads.py.
+# NOTE: approval_mode="never_require" is for sample brevity. Use "always_require" in production; see samples/02-agents/tools/function_tool_with_approval.py and samples/02-agents/tools/function_tool_with_approval_and_threads.py.
 @tool(approval_mode="never_require")
 def retrieve_company_report(company_code: str, detailed: bool) -> str:
     if company_code != "CNTS":

python/samples/02-agents/context_providers/mem0/mem0_threads.py

@@ -9,7 +9,7 @@ from agent_framework.mem0 import Mem0Provider
 from azure.identity.aio import AzureCliCredential
 
 
-# NOTE: approval_mode="never_require" is for sample brevity. Use "always_require" in production; see samples/getting_started/tools/function_tool_with_approval.py and samples/getting_started/tools/function_tool_with_approval_and_threads.py.
+# NOTE: approval_mode="never_require" is for sample brevity. Use "always_require" in production; see samples/02-agents/tools/function_tool_with_approval.py and samples/02-agents/tools/function_tool_with_approval_and_threads.py.
 @tool(approval_mode="never_require")
 def get_user_preferences(user_id: str) -> str:
     """Mock function to get user preferences."""

python/samples/02-agents/context_providers/redis/redis_basics.py

@@ -37,7 +37,7 @@ from redisvl.extensions.cache.embeddings import EmbeddingsCache
 from redisvl.utils.vectorize import OpenAITextVectorizer
 
 
-# NOTE: approval_mode="never_require" is for sample brevity. Use "always_require" in production; see samples/getting_started/tools/function_tool_with_approval.py and samples/getting_started/tools/function_tool_with_approval_and_threads.py.
+# NOTE: approval_mode="never_require" is for sample brevity. Use "always_require" in production; see samples/02-agents/tools/function_tool_with_approval.py and samples/02-agents/tools/function_tool_with_approval_and_threads.py.
 @tool(approval_mode="never_require")
 def search_flights(origin_airport_code: str, destination_airport_code: str, detailed: bool = False) -> str:
     """Simulated flight-search tool to demonstrate tool memory.

python/samples/02-agents/devui/README.md

@@ -21,7 +21,7 @@ DevUI is a sample application that provides:
 Run a single sample directly. This demonstrates how to wrap agents and workflows programmatically without needing a directory structure:
 
 ```bash
-cd python/samples/getting_started/devui
+cd python/samples/02-agents/devui
 python in_memory_mode.py
 ```
 
@@ -32,7 +32,7 @@ This opens your browser at http://localhost:8090 with pre-configured agents and
 Launch DevUI to discover all samples in this folder:
 
 ```bash
-cd python/samples/getting_started/devui
+cd python/samples/02-agents/devui
 devui
 ```
 

python/samples/02-agents/devui/azure_responses_agent/agent.py

@@ -50,7 +50,7 @@ def analyze_content(
     return f"Analyzing content for: {query}"
 
 
-# NOTE: approval_mode="never_require" is for sample brevity. Use "always_require" in production; see samples/getting_started/tools/function_tool_with_approval.py and samples/getting_started/tools/function_tool_with_approval_and_threads.py.
+# NOTE: approval_mode="never_require" is for sample brevity. Use "always_require" in production; see samples/02-agents/tools/function_tool_with_approval.py and samples/02-agents/tools/function_tool_with_approval_and_threads.py.
 @tool(approval_mode="never_require")
 def summarize_document(
     length: Annotated[str, "Desired summary length: 'brief', 'medium', or 'detailed'"] = "medium",

python/samples/02-agents/devui/foundry_agent/agent.py

@@ -14,7 +14,7 @@ from azure.identity.aio import AzureCliCredential
 from pydantic import Field
 
 
-# NOTE: approval_mode="never_require" is for sample brevity. Use "always_require" in production; see samples/getting_started/tools/function_tool_with_approval.py and samples/getting_started/tools/function_tool_with_approval_and_threads.py.
+# NOTE: approval_mode="never_require" is for sample brevity. Use "always_require" in production; see samples/02-agents/tools/function_tool_with_approval.py and samples/02-agents/tools/function_tool_with_approval_and_threads.py.
 @tool(approval_mode="never_require")
 def get_weather(
     location: Annotated[str, Field(description="The location to get the weather for.")],

python/samples/02-agents/devui/in_memory_mode.py

@@ -16,7 +16,7 @@ from agent_framework.devui import serve
 from typing_extensions import Never
 
 
-# NOTE: approval_mode="never_require" is for sample brevity. Use "always_require" in production; see samples/getting_started/tools/function_tool_with_approval.py and samples/getting_started/tools/function_tool_with_approval_and_threads.py.
+# NOTE: approval_mode="never_require" is for sample brevity. Use "always_require" in production; see samples/02-agents/tools/function_tool_with_approval.py and samples/02-agents/tools/function_tool_with_approval_and_threads.py.
 @tool(approval_mode="never_require")
 # Tool functions for the agent
 @tool(approval_mode="never_require")

python/samples/02-agents/devui/weather_agent_azure/agent.py

@@ -101,7 +101,7 @@ async def atlantis_location_filter_middleware(
     await call_next()
 
 
-# NOTE: approval_mode="never_require" is for sample brevity. Use "always_require" in production; see samples/getting_started/tools/function_tool_with_approval.py and samples/getting_started/tools/function_tool_with_approval_and_threads.py.
+# NOTE: approval_mode="never_require" is for sample brevity. Use "always_require" in production; see samples/02-agents/tools/function_tool_with_approval.py and samples/02-agents/tools/function_tool_with_approval_and_threads.py.
 @tool(approval_mode="never_require")
 def get_weather(
     location: Annotated[str, "The location to get the weather for."],

python/samples/02-agents/mcp/agent_as_mcp_server.py

@@ -32,7 +32,7 @@ with the following configuration:
 """
 
 
-# NOTE: approval_mode="never_require" is for sample brevity. Use "always_require" in production; see samples/getting_started/tools/function_tool_with_approval.py and samples/getting_started/tools/function_tool_with_approval_and_threads.py.
+# NOTE: approval_mode="never_require" is for sample brevity. Use "always_require" in production; see samples/02-agents/tools/function_tool_with_approval.py and samples/02-agents/tools/function_tool_with_approval_and_threads.py.
 @tool(approval_mode="never_require")
 def get_specials() -> Annotated[str, "Returns the specials from the menu."]:
     return """

python/samples/02-agents/middleware/agent_and_run_level_middleware.py

@@ -54,7 +54,7 @@ Agent Middleware Execution Order:
 """
 
 
-# NOTE: approval_mode="never_require" is for sample brevity. Use "always_require" in production; see samples/getting_started/tools/function_tool_with_approval.py and samples/getting_started/tools/function_tool_with_approval_and_threads.py.
+# NOTE: approval_mode="never_require" is for sample brevity. Use "always_require" in production; see samples/02-agents/tools/function_tool_with_approval.py and samples/02-agents/tools/function_tool_with_approval_and_threads.py.
 @tool(approval_mode="never_require")
 def get_weather(
     location: Annotated[str, Field(description="The location to get the weather for.")],

python/samples/02-agents/middleware/chat_middleware.py

@@ -37,7 +37,7 @@ The example covers:
 """
 
 
-# NOTE: approval_mode="never_require" is for sample brevity. Use "always_require" in production; see samples/getting_started/tools/function_tool_with_approval.py and samples/getting_started/tools/function_tool_with_approval_and_threads.py.
+# NOTE: approval_mode="never_require" is for sample brevity. Use "always_require" in production; see samples/02-agents/tools/function_tool_with_approval.py and samples/02-agents/tools/function_tool_with_approval_and_threads.py.
 @tool(approval_mode="never_require")
 def get_weather(
     location: Annotated[str, Field(description="The location to get the weather for.")],

python/samples/02-agents/middleware/class_based_middleware.py

@@ -34,7 +34,7 @@ from object-oriented design patterns.
 """
 
 
-# NOTE: approval_mode="never_require" is for sample brevity. Use "always_require" in production; see samples/getting_started/tools/function_tool_with_approval.py and samples/getting_started/tools/function_tool_with_approval_and_threads.py.
+# NOTE: approval_mode="never_require" is for sample brevity. Use "always_require" in production; see samples/02-agents/tools/function_tool_with_approval.py and samples/02-agents/tools/function_tool_with_approval_and_threads.py.
 @tool(approval_mode="never_require")
 def get_weather(
     location: Annotated[str, Field(description="The location to get the weather for.")],

python/samples/02-agents/middleware/decorator_middleware.py

@@ -42,7 +42,7 @@ Key benefits of decorator approach:
 """
 
 
-# NOTE: approval_mode="never_require" is for sample brevity. Use "always_require" in production; see samples/getting_started/tools/function_tool_with_approval.py and samples/getting_started/tools/function_tool_with_approval_and_threads.py.
+# NOTE: approval_mode="never_require" is for sample brevity. Use "always_require" in production; see samples/02-agents/tools/function_tool_with_approval.py and samples/02-agents/tools/function_tool_with_approval_and_threads.py.
 @tool(approval_mode="never_require")
 def get_current_time() -> str:
     """Get the current time."""

python/samples/02-agents/middleware/exception_handling_with_middleware.py

@@ -24,7 +24,7 @@ a helpful message for the user, preventing raw exceptions from reaching the end
 """
 
 
-# NOTE: approval_mode="never_require" is for sample brevity. Use "always_require" in production; see samples/getting_started/tools/function_tool_with_approval.py and samples/getting_started/tools/function_tool_with_approval_and_threads.py.
+# NOTE: approval_mode="never_require" is for sample brevity. Use "always_require" in production; see samples/02-agents/tools/function_tool_with_approval.py and samples/02-agents/tools/function_tool_with_approval_and_threads.py.
 @tool(approval_mode="never_require")
 def unstable_data_service(
     query: Annotated[str, Field(description="The data query to execute.")],

python/samples/02-agents/middleware/function_based_middleware.py

@@ -31,7 +31,7 @@ can be implemented as async functions that accept context and call_next paramete
 """
 
 
-# NOTE: approval_mode="never_require" is for sample brevity. Use "always_require" in production; see samples/getting_started/tools/function_tool_with_approval.py and samples/getting_started/tools/function_tool_with_approval_and_threads.py.
+# NOTE: approval_mode="never_require" is for sample brevity. Use "always_require" in production; see samples/02-agents/tools/function_tool_with_approval.py and samples/02-agents/tools/function_tool_with_approval_and_threads.py.
 @tool(approval_mode="never_require")
 def get_weather(
     location: Annotated[str, Field(description="The location to get the weather for.")],