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Eduard van Valkenburg
a2856d3b92
* 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file with only comment path updates (100 files) - One import-fix diff (workflow_as_agent_human_in_the_loop.py) - One superseded minimal_sample.py Resource files (sample.pdf, countries.json, employees.pdf, weather.json) copied to 02-agents/sample_assets/ and 02-agents/resources/ since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
a2856d3b92
·
2026-02-12 17:36:36 +00:00
History
Chat Client Examples
This folder contains simple examples demonstrating direct usage of various chat clients.
Examples
| File | Description |
|---|---|
azure_assistants_client.py |
Direct usage of Azure Assistants Client for basic chat interactions with Azure OpenAI assistants. |
azure_chat_client.py |
Direct usage of Azure Chat Client for chat interactions with Azure OpenAI models. |
azure_responses_client.py |
Direct usage of Azure Responses Client for structured response generation with Azure OpenAI models. |
chat_response_cancellation.py |
Demonstrates how to cancel chat responses during streaming, showing proper cancellation handling and cleanup. |
azure_ai_chat_client.py |
Direct usage of Azure AI Chat Client for chat interactions with Azure AI models. |
openai_assistants_client.py |
Direct usage of OpenAI Assistants Client for basic chat interactions with OpenAI assistants. |
openai_chat_client.py |
Direct usage of OpenAI Chat Client for chat interactions with OpenAI models. |
openai_responses_client.py |
Direct usage of OpenAI Responses Client for structured response generation with OpenAI models. |
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. |
Environment Variables
Depending on which client you're using, set the appropriate environment variables:
For Azure clients:
AZURE_OPENAI_ENDPOINT: Your Azure OpenAI endpointAZURE_OPENAI_CHAT_DEPLOYMENT_NAME: The name of your Azure OpenAI chat deploymentAZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME: The name of your Azure OpenAI responses deployment
For Azure AI client:
AZURE_AI_PROJECT_ENDPOINT: Your Azure AI project endpointAZURE_AI_MODEL_DEPLOYMENT_NAME: The name of your model deployment
For OpenAI clients:
OPENAI_API_KEY: Your OpenAI API keyOPENAI_CHAT_MODEL_ID: The OpenAI model to use for chat clients (e.g.,gpt-4o,gpt-4o-mini,gpt-3.5-turbo)OPENAI_RESPONSES_MODEL_ID: The OpenAI model to use for responses clients (e.g.,gpt-4o,gpt-4o-mini,gpt-3.5-turbo)
For Ollama client:
OLLAMA_HOST: Your Ollama server URL (defaults tohttp://localhost:11434if not set)OLLAMA_MODEL_ID: The Ollama model to use for chat (e.g.,llama3.2,llama2,codellama)
Note
: For Ollama, ensure you have Ollama installed and running locally with at least one model downloaded. Visit https://ollama.com/ for installation instructions.