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* Initial plan * feat: extend AzureOpenAIResponsesClient to support Foundry project endpoints Add project_client and project_endpoint parameters to allow creating the client via an Azure AI Foundry project. When provided, the client uses AIProjectClient.get_openai_client() to obtain the OpenAI client. The azure-ai-projects package is imported lazily and only required when using the project endpoint path. Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@users.noreply.github.com> * fix: address code review - remove duplicate MagicMock imports in tests Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@users.noreply.github.com> * fix: add type field to Responses API input items and add Foundry sample - Add 'type: message' to input items in _prepare_message_for_openai to comply with the Responses API schema requirement - Filter out empty dicts from unsupported content types to prevent sending items with invalid empty type values - Add azure_responses_client_with_foundry.py sample demonstrating AzureOpenAIResponsesClient with project_endpoint - Update README and pyrightconfig.samples.json accordingly * updates to response format and setup * fix: patch AIProjectClient at correct module path in test Patch agent_framework.azure._responses_client.AIProjectClient instead of azure.ai.projects.aio.AIProjectClient since the import is at module level. * docs: add Foundry sample to READMEs and document AZURE_AI_PROJECT_ENDPOINT env var --------- Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com> Co-authored-by: eavanvalkenburg <13749212+eavanvalkenburg@users.noreply.github.com> Co-authored-by: eavanvalkenburg <github@vanvalkenburg.eu>
a427af91a9
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2026-02-11 15:46:25 +00:00
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Agent Examples
This folder contains examples demonstrating how to create and use agents with different chat clients from the Agent Framework. Each sub-folder focuses on a specific provider and client type, showing various capabilities like function tools, code interpreter, thread management, structured outputs, image processing, web search, Model Context Protocol (MCP) integration, and more.
Examples by Provider
Azure AI Foundry Examples
| Folder | Description |
|---|---|
azure_ai_agent/ |
Create agents using Azure AI Agent Service (based on azure-ai-agents V1 package) including function tools, code interpreter, MCP integration, thread management, and more. |
azure_ai/ |
Create agents using Azure AI Agent Service (based on azure-ai-projects V2 package) including function tools, code interpreter, MCP integration, thread management, and more. |
Microsoft Copilot Studio Examples
| Folder | Description |
|---|---|
copilotstudio/ |
Create agents using Microsoft Copilot Studio with streaming and non-streaming responses, authentication handling, and explicit configuration options |
Azure OpenAI Examples
| Folder | Description |
|---|---|
azure_openai/ |
Create agents using Azure OpenAI APIs with multiple client types (Assistants, Chat, and Responses clients) supporting function tools, code interpreter, thread management, and more |
OpenAI Examples
| Folder | Description |
|---|---|
openai/ |
Create agents using OpenAI APIs with comprehensive examples including Assistants, Chat, and Responses clients featuring function tools, code interpreter, file search, web search, MCP integration, image analysis/generation, structured outputs, reasoning, and thread management |
Anthropic Examples
| Folder | Description |
|---|---|
anthropic/ |
Create agents using Anthropic models through OpenAI Chat Client configuration, demonstrating tool calling capabilities |
Custom Implementation Examples
| Folder | Description |
|---|---|
custom/ |
Create custom agents and chat clients by extending the base framework classes, showing complete control over agent behavior and backend integration |