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Shubham Kumar b00465d7be Python: feat: Add Agent Framework to A2A bridge support (#2403) 
* feat: Add Agent Framework to A2A bridge support

- Implement A2A event adapter for converting agent messages to A2A protocol
- Add A2A execution context for managing agent execution state
- Implement A2A executor for running agents in A2A environment
- Add comprehensive unit tests for event adapter, execution context, and executor
- Update agent framework core A2A module exports and type stubs
- Integrate thread management utilities for async execution
- Add getting started sample for A2A agent framework integration
- Update dependencies in uv.lock

This integration enables agent framework agents to communicate and execute within the A2A (Agent to Agent) infrastructure.

* fix: Update references from agent_thread_storage to _agent_thread_storage in A2A executor tests

* Refactor A2A agent framework and improve code structure

- Reordered imports in various files for consistency and clarity.
- Updated `__all__` definitions to maintain a consistent order across modules.
- Simplified method signatures by removing unnecessary line breaks.
- Enhanced readability by adjusting formatting in several sections.
- Removed redundant comments and example scenarios in the execution context.
- Improved handling of agent messages in the event adapter.
- Added type hints for better clarity and type checking.
- Cleaned up test cases for better organization and readability.

* fix: Lint fix new line added

* test: Add unit tests for AgentThreadStorage and InMemoryAgentThreadStorage

* refactor: Update type hints to use new syntax for Union and List

* fix: Validate RequestContext for context_id and message before execution

* Refactor tests and remove A2aExecutionContext references

- Deleted the test file for A2aExecutionContext as it is no longer needed.
- Updated A2aExecutor tests to remove dependencies on A2aExecutionContext and adjusted method calls accordingly.
- Modified event adapter tests to use ChatMessage instead of AgentRunResponseUpdate.
- Removed A2aExecutionContext from imports in agent_framework.a2a module and updated type hints accordingly.

* Refactor A2AExecutor tests and remove event adapter

- Updated test cases to use A2AExecutor instead of A2aExecutor for consistency.
- Removed mock_event_adapter fixture and related tests as A2aEventAdapter is deprecated.
- Consolidated event handling tests into TestA2AExecutorEventAdapter.
- Adjusted imports in various files to reflect the removal of deprecated components.
- Ensured all references to A2aExecutor are updated to A2AExecutor across the codebase.

* refactor: Remove AgentThreadStorage and InMemoryAgentThreadStorage classes from threads and tests

* feat: A2AExecutor to have its own override able save and get threads methods for persistent storage.

* fix: linter bugs

* removed unnecessary changes form core package

* new line added

* Refactor A2AExecutor tests and update imports

- Consolidated mock agent fixtures in test_a2a_executor.py to simplify agent mocking.
- Removed redundant tests related to thread storage and agent types, focusing on A2AExecutor's core functionality.
- Updated test assertions to reflect changes in message handling with new Message and Content classes.
- Enhanced integration tests to ensure compatibility with the new agent framework structure.
- Added A2AExecutor to the module exports in __init__.py and __init__.pyi for better accessibility.

* Update A2A documentation: enhance usage examples for A2AAgent and A2AExecutor

* Updated uv lock

* Fix metadata assertion in TestA2AExecutorHandleEvents and reorder load_dotenv call in agent_framework_to_a2a.py

* Update agent card configuration: add default input and output modes, and fix agent creation method

* Fix assertion for metadata in TestA2AExecutorHandleEvents

* Fix formatting issues in TestA2AExecutorExecute and TestA2AExecutorIntegration

* Enhance A2AExecutor documentation with examples and clarify agent execution process

* Revert uv lock to main

* Refactor A2AExecutor: Improve formatting and streamline constructor parameters

* Apply suggestions from code review

Co-authored-by: Eduard van Valkenburg <eavanvalkenburg@users.noreply.github.com>

* Refactor A2AExecutor to use SupportsAgentRun and enhance logging; update agent framework sample for flight and hotel booking capabilities

* Enhance A2AExecutor with streaming support and custom run arguments; update tests for initialization and execution scenarios

* Enhance A2AExecutor event handling with streamed artifact tracking; update tests for new behavior

* Refactor A2AExecutor to enforce type hints for stream and run_kwargs attributes

* Refactor A2AExecutor and tests: replace AsyncMock with MagicMock for response stream handling; clean up imports in agent_framework_to_a2a.py

* refactor: streamline imports and improve code readability across multiple files

* feat: enhance A2AExecutor cancel method with context validation and fixed review comments

* feat: implement get_uri_data utility function for extracting base64 data from data URIs and update references

* fix: update import path for get_uri_data utility function in A2AExecutor and A2AAgent

* fix: correct error message handling in A2AExecutor and update test assertions

---------

Co-authored-by: Eduard van Valkenburg <eavanvalkenburg@users.noreply.github.com>
b00465d7be · 2026-04-24 08:35:40 +00:00
History
..
01-get-started
Python: [BREAKING] update to v1.0.0 (#5062)
2026-04-02 15:26:30 +00:00
02-agents
Python: fix(foundry): reconcile toolbox hosted-tool payloads with Responses API (#5414)
2026-04-22 17:43:26 +00:00
03-workflows
Python: Add second approval-required tool (set_stop_loss) to concurrent_builder_tool_approval sample (#4875)
2026-04-21 07:08:50 +00:00
04-hosting
Python: feat: Add Agent Framework to A2A bridge support (#2403)
2026-04-24 08:35:40 +00:00
05-end-to-end
Python: feat(evals): add ground_truth support for similarity evaluator (#5234)
2026-04-21 19:40:53 +00:00
autogen-migration
Fix handoff workflow context management and improve AG-UI demo (#5136)
2026-04-08 04:08:24 +00:00
semantic-kernel-migration
Fix handoff workflow context management and improve AG-UI demo (#5136)
2026-04-08 04:08:24 +00:00
shared
Python: Phase 2: Embedding clients for Ollama, Bedrock, and Azure AI Inference (#4207)
2026-02-25 17:45:08 +00:00
__init__.py
Python telemetry (#223)
2025-07-28 07:33:42 +00:00
AGENTS.md
Python: [BREAKING] update to v1.0.0 (#5062)
2026-04-02 15:26:30 +00:00
README.md
Python: [BREAKING] update to v1.0.0 (#5062)
2026-04-02 15:26:30 +00:00
SAMPLE_GUIDELINES.md
Python: [BREAKING] Python: Provider-leading client design & OpenAI package extraction (#4818)
2026-03-25 09:56:29 +00:00

README.md

Python Samples

This directory contains samples demonstrating the capabilities of Microsoft Agent Framework for Python.

Structure

Folder Description
01-get-started/ Progressive tutorial: hello agent → hosting
02-agents/ Deep-dive by concept: tools, middleware, providers, orchestrations
03-workflows/ Workflow patterns: sequential, concurrent, state, declarative
04-hosting/ Deployment: Azure Functions, Durable Tasks, A2A
05-end-to-end/ Full applications, evaluation, demos

Getting Started

Start with 01-get-started/ and work through the numbered files:

  1. 01_hello_agent.py — Create and run your first agent
  2. 02_add_tools.py — Add function tools with @tool
  3. 03_multi_turn.py — Multi-turn conversations with AgentSession
  4. 04_memory.py — Agent memory with ContextProvider
  5. 05_first_workflow.py — Build a workflow with executors and edges
  6. 06_host_your_agent.py — Host your agent via Azure Functions

Prerequisites

pip install agent-framework

Environment Variables

Samples call load_dotenv() to automatically load environment variables from a .env file in the python/ directory. This is a convenience for local development and testing.

For local development, set up your environment using any of these methods:

Option 1: Using a .env file (recommended for local development):

  1. Copy .env.example to .env in the python/ directory: 
    cp .env.example .env
  2. Edit .env and set your values (API keys, endpoints, etc.)

Option 2: Export environment variables directly:

export FOUNDRY_PROJECT_ENDPOINT="your-foundry-project-endpoint"
export FOUNDRY_MODEL="gpt-4o"

Option 3: Using env_file_path parameter (for per-client configuration):

All client classes (e.g., OpenAIChatClient, OpenAIChatCompletionClient) support an env_file_path parameter to load environment variables from a specific file:

from agent_framework.openai import OpenAIChatClient

# Load from a custom .env file
client = OpenAIChatClient(env_file_path="path/to/custom.env")

This allows different clients to use different configuration files if needed.

For the generic OpenAI clients (OpenAIChatClient and OpenAIChatCompletionClient), routing precedence is:

  1. Explicit Azure inputs such as credential, azure_endpoint, or api_version
  2. OPENAI_API_KEY / explicit OpenAI API-key parameters
  3. Azure environment fallback such as AZURE_OPENAI_ENDPOINT and AZURE_OPENAI_API_KEY

If you keep both OpenAI and Azure variables in your shell, the generic clients stay on OpenAI until you pass an explicit Azure input.

For the getting-started samples, you'll need at minimum:

FOUNDRY_PROJECT_ENDPOINT="your-foundry-project-endpoint"
FOUNDRY_MODEL="gpt-4o"

Consolidated sample env inventory

This is the single source of truth for package-level environment variables read by packages included by agent-framework-core[all]. It intentionally excludes variables that are only read by standalone samples, package sample folders, or tests. When package code adds, removes, or renames an environment variable, update this table in the same change.

Example values below are illustrative. For entries not backed by a single public class, the class column names the closest public surface, helper, or package-level initialization point that reads the variable.

package class env var example value
agent-framework-anthropic AnthropicClient ANTHROPIC_API_KEY sk-ant-api03-...
agent-framework-anthropic AnthropicClient ANTHROPIC_CHAT_MODEL claude-sonnet-4-5-20250929
agent-framework-foundry FoundryEmbeddingClient FOUNDRY_MODELS_ENDPOINT https://my-endpoint.inference.ai.azure.com
agent-framework-foundry FoundryEmbeddingClient FOUNDRY_MODELS_API_KEY env-key
agent-framework-foundry FoundryEmbeddingClient FOUNDRY_EMBEDDING_MODEL text-embedding-3-small
agent-framework-foundry FoundryEmbeddingClient FOUNDRY_IMAGE_EMBEDDING_MODEL Cohere-embed-v3-english
agent-framework-azure-ai-search AzureAISearchContextProvider AZURE_SEARCH_ENDPOINT https://my-search.search.windows.net
agent-framework-azure-ai-search AzureAISearchContextProvider AZURE_SEARCH_API_KEY search-key
agent-framework-azure-ai-search AzureAISearchContextProvider AZURE_SEARCH_INDEX_NAME hotels-index
agent-framework-azure-ai-search AzureAISearchContextProvider AZURE_SEARCH_KNOWLEDGE_BASE_NAME hotels-kb
agent-framework-azure-cosmos CosmosHistoryProvider AZURE_COSMOS_ENDPOINT https://my-cosmos.documents.azure.com:443/
agent-framework-azure-cosmos CosmosHistoryProvider AZURE_COSMOS_DATABASE_NAME agent-history
agent-framework-azure-cosmos CosmosHistoryProvider AZURE_COSMOS_CONTAINER_NAME messages
agent-framework-azure-cosmos CosmosHistoryProvider AZURE_COSMOS_KEY C2F...==
agent-framework-bedrock BedrockChatClient BEDROCK_REGION us-east-1
agent-framework-bedrock BedrockChatClient BEDROCK_CHAT_MODEL anthropic.claude-3-5-sonnet-20241022-v2:0
agent-framework-bedrock BedrockEmbeddingClient BEDROCK_REGION us-east-1
agent-framework-bedrock BedrockEmbeddingClient BEDROCK_EMBEDDING_MODEL amazon.titan-embed-text-v2:0
agent-framework-bedrock BedrockChatClient / BedrockEmbeddingClient AWS_ACCESS_KEY_ID AKIAIOSFODNN7EXAMPLE
agent-framework-bedrock BedrockChatClient / BedrockEmbeddingClient AWS_SECRET_ACCESS_KEY wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY
agent-framework-bedrock BedrockChatClient / BedrockEmbeddingClient AWS_SESSION_TOKEN IQoJb3JpZ2luX2VjEO7//////////wEaCXVzLXdlc3QtMiJHMEUCIQD...
agent-framework-copilotstudio CopilotStudioAgent COPILOTSTUDIOAGENT__ENVIRONMENTID 00000000-0000-0000-0000-000000000000
agent-framework-copilotstudio CopilotStudioAgent COPILOTSTUDIOAGENT__SCHEMANAME cr123_agentname
agent-framework-copilotstudio CopilotStudioAgent COPILOTSTUDIOAGENT__TENANTID 11111111-1111-1111-1111-111111111111
agent-framework-copilotstudio CopilotStudioAgent COPILOTSTUDIOAGENT__AGENTAPPID 22222222-2222-2222-2222-222222222222
agent-framework-core enable_instrumentation() ENABLE_INSTRUMENTATION true
agent-framework-core enable_instrumentation() ENABLE_SENSITIVE_DATA false
agent-framework-core enable_instrumentation() ENABLE_CONSOLE_EXPORTERS true
agent-framework-core enable_instrumentation() OTEL_EXPORTER_OTLP_ENDPOINT http://localhost:4317
agent-framework-core enable_instrumentation() OTEL_EXPORTER_OTLP_TRACES_ENDPOINT http://localhost:4318/v1/traces
agent-framework-core enable_instrumentation() OTEL_EXPORTER_OTLP_METRICS_ENDPOINT http://localhost:4318/v1/metrics
agent-framework-core enable_instrumentation() OTEL_EXPORTER_OTLP_LOGS_ENDPOINT http://localhost:4318/v1/logs
agent-framework-core enable_instrumentation() OTEL_EXPORTER_OTLP_PROTOCOL grpc
agent-framework-core enable_instrumentation() OTEL_EXPORTER_OTLP_HEADERS api-key=demo
agent-framework-core enable_instrumentation() OTEL_EXPORTER_OTLP_TRACES_HEADERS api-key=trace-demo
agent-framework-core enable_instrumentation() OTEL_EXPORTER_OTLP_METRICS_HEADERS api-key=metric-demo
agent-framework-core enable_instrumentation() OTEL_EXPORTER_OTLP_LOGS_HEADERS api-key=log-demo
agent-framework-core enable_instrumentation() OTEL_SERVICE_NAME sample-agent
agent-framework-core enable_instrumentation() OTEL_SERVICE_VERSION 1.0.0
agent-framework-core enable_instrumentation() OTEL_RESOURCE_ATTRIBUTES deployment.environment=dev,service.namespace=agent-framework
agent-framework-devui DevUI server DEVUI_AUTH_TOKEN my-devui-token
agent-framework-foundry FoundryChatClient FOUNDRY_PROJECT_ENDPOINT https://my-project.services.ai.azure.com/api/projects/my-project
agent-framework-foundry FoundryChatClient FOUNDRY_MODEL gpt-4o
agent-framework-foundry FoundryAgent FOUNDRY_AGENT_NAME travel-planner
agent-framework-foundry FoundryAgent FOUNDRY_AGENT_VERSION v1
agent-framework-github-copilot GitHubCopilotAgent GITHUB_COPILOT_CLI_PATH copilot
agent-framework-github-copilot GitHubCopilotAgent GITHUB_COPILOT_MODEL gpt-5
agent-framework-github-copilot GitHubCopilotAgent GITHUB_COPILOT_TIMEOUT 60
agent-framework-github-copilot GitHubCopilotAgent GITHUB_COPILOT_LOG_LEVEL info
agent-framework-mem0 agent_framework_mem0 package import MEM0_TELEMETRY false
agent-framework-ollama OllamaChatClient OLLAMA_HOST http://localhost:11434
agent-framework-ollama OllamaChatClient OLLAMA_MODEL llama3.1:8b
agent-framework-openai OpenAIChatClient / OpenAIChatCompletionClient / OpenAIEmbeddingClient OPENAI_API_KEY sk-proj-...
agent-framework-openai OpenAIChatClient / OpenAIChatCompletionClient / OpenAIEmbeddingClient OPENAI_MODEL gpt-4o-mini
agent-framework-openai OpenAIChatClient OPENAI_CHAT_MODEL gpt-4.1-mini
agent-framework-openai OpenAIChatCompletionClient OPENAI_CHAT_COMPLETION_MODEL gpt-4o
agent-framework-openai OpenAIEmbeddingClient OPENAI_EMBEDDING_MODEL text-embedding-3-small
agent-framework-openai OpenAIChatClient / OpenAIChatCompletionClient / OpenAIEmbeddingClient OPENAI_BASE_URL https://api.openai.com/v1/
agent-framework-openai OpenAIChatClient / OpenAIChatCompletionClient / OpenAIEmbeddingClient OPENAI_ORG_ID org_123456789
agent-framework-openai OpenAIChatClient / OpenAIChatCompletionClient / OpenAIEmbeddingClient AZURE_OPENAI_ENDPOINT https://my-resource.openai.azure.com/
agent-framework-openai OpenAIChatClient / OpenAIChatCompletionClient / OpenAIEmbeddingClient AZURE_OPENAI_API_KEY sk-azure-...
agent-framework-openai OpenAIChatClient / OpenAIChatCompletionClient / OpenAIEmbeddingClient AZURE_OPENAI_API_VERSION 2024-10-21
agent-framework-openai OpenAIChatClient / OpenAIChatCompletionClient / OpenAIEmbeddingClient AZURE_OPENAI_BASE_URL https://my-resource.openai.azure.com/openai/v1/
agent-framework-openai OpenAIChatClient / OpenAIChatCompletionClient / OpenAIEmbeddingClient AZURE_OPENAI_MODEL gpt-4o
agent-framework-openai OpenAIChatClient AZURE_OPENAI_CHAT_MODEL gpt-4.1
agent-framework-openai OpenAIChatCompletionClient AZURE_OPENAI_CHAT_COMPLETION_MODEL gpt-4o-mini
agent-framework-openai OpenAIEmbeddingClient AZURE_OPENAI_EMBEDDING_MODEL text-embedding-3-large
agent-framework-openai OpenAIChatClient / OpenAIChatCompletionClient / OpenAIEmbeddingClient AZURE_OPENAI_RESOURCE_URL https://cognitiveservices.azure.com/

agent-framework-openai supports the Azure OpenAI client-specific deployment aliases listed above; keep packages/openai/README.md as the authoritative reference for the exact fallback order and package-specific behavior.

Note for production: In production environments, set environment variables through your deployment platform (e.g., Azure App Settings, Kubernetes ConfigMaps/Secrets) rather than using .env files. The load_dotenv() call in samples will have no effect when a .env file is not present, allowing environment variables to be loaded from the system.

For Azure authentication, run az login before running samples.

Note on XML tags

Some sample files include XML-style snippet tags (for example <snippet_name> and </snippet_name>). These are used by our documentation tooling and can be ignored or removed when you use the samples outside this repository.

Additional Resources

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