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agent-framework/python/samples/02-agents/chat_client
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Copilot b05fc9e849 Python: Add load_dotenv() to samples for .env file support (#4043)
* Initial plan

* Add load_dotenv() to 303 Python samples for environment variable loading

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* Update SAMPLE_GUIDELINES.md to document load_dotenv() requirement

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* Update samples README.md to document .env file usage

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* Run ruff format on all changed sample files

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* Clarify load_dotenv() usage in README - local dev vs production

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* Remove deprecated getting_started folder as requested

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* Document env_file_path parameter for per-client configuration

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* Merge main branch to resolve conflicts

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* Fix run_evaluation.py file that was empty in merge commit

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* Remove dotnet changes from merge - out of scope for this PR

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* Remove package and test changes from merge - only sample changes needed

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* Remove test_func_utils.py - only sample changes needed

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* Revert sample files not in original changeset - keep only load_dotenv additions

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* Move load_dotenv() outside snippet tag in 06_host_your_agent.py

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* Fix comment placement - move load_dotenv before code comments

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* Fix load_dotenv() placement across all samples - after docstring, before code comments

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* Merge latest main branch with load_dotenv changes

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* Remove non-sample changes from merge - keep only load_dotenv additions

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* Revert non-load_dotenv sample changes from merge

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* Fix run_evaluation.py - use main's improved version (file already had load_dotenv)

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* Manual update

* Manual update 2

* Fix Role usage and load_dotenv placement per PR review feedback

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* Fix Role usage - use string literals not enum attributes

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* Fix SAMPLE_GUIDELINES.md example - load_dotenv before docstring per guidance

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* Move load_dotenv() before docstrings in all samples per SAMPLE_GUIDELINES ordering

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* Address PR review: rename files, fix placement, add session usage, remove note

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* Update Redis README to reference renamed file redis_history_provider.py

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b05fc9e849 ยท 2026-02-19 10:55:13 +00:00
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Chat Client Examples

This folder contains examples for direct chat client usage patterns.

Examples

File Description
built_in_chat_clients.py Consolidated sample for built-in chat clients. Uses get_client() to create the selected client and pass it to main().
chat_response_cancellation.py Demonstrates how to cancel chat responses during streaming, showing proper cancellation handling and cleanup.
custom_chat_client.py Demonstrates how to create custom chat clients by extending the BaseChatClient class. Shows a EchoingChatClient implementation and how to integrate it with Agent using the as_agent() method.

Selecting a built-in client

built_in_chat_clients.py starts with:

asyncio.run(main("openai_chat"))

Change the argument to pick a client:

  • openai_chat
  • openai_responses
  • openai_assistants
  • anthropic
  • ollama
  • bedrock
  • azure_openai_chat
  • azure_openai_responses
  • azure_openai_responses_foundry
  • azure_openai_assistants
  • azure_ai_agent

Example:

uv run samples/02-agents/chat_client/built_in_chat_clients.py

Environment Variables

Depending on the selected client, set the appropriate environment variables:

For Azure clients:

  • AZURE_OPENAI_ENDPOINT: Your Azure OpenAI endpoint
  • AZURE_OPENAI_CHAT_DEPLOYMENT_NAME: The name of your Azure OpenAI chat deployment
  • AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME: The name of your Azure OpenAI responses deployment

For Azure OpenAI Foundry responses client (azure_openai_responses_foundry):

  • AZURE_AI_PROJECT_ENDPOINT: Your Azure AI project endpoint
  • AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME: The name of your Azure OpenAI responses deployment

For Azure AI agent client (azure_ai_agent):

  • AZURE_AI_PROJECT_ENDPOINT: Your Azure AI project endpoint
  • AZURE_AI_MODEL_DEPLOYMENT_NAME: The name of your model deployment (used by azure_ai_agent)

For OpenAI clients:

  • OPENAI_API_KEY: Your OpenAI API key
  • OPENAI_CHAT_MODEL_ID: The OpenAI model for openai_chat and openai_assistants
  • OPENAI_RESPONSES_MODEL_ID: The OpenAI model for openai_responses

For Anthropic client (anthropic):

  • ANTHROPIC_API_KEY: Your Anthropic API key
  • ANTHROPIC_CHAT_MODEL_ID: The Anthropic model ID (for example, claude-sonnet-4-5)

For Ollama client (ollama):

  • OLLAMA_HOST: Ollama server URL (defaults to http://localhost:11434 if unset)
  • OLLAMA_MODEL_ID: Ollama model name (for example, mistral, qwen2.5:8b)

For Bedrock client (bedrock):

  • BEDROCK_CHAT_MODEL_ID: Bedrock model ID (for example, anthropic.claude-3-5-sonnet-20240620-v1:0)
  • BEDROCK_REGION: AWS region (defaults to us-east-1 if unset)
  • AWS credentials via standard environment variables (for example, AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY)