mirror of
https://github.com/microsoft/agent-framework.git
synced 2026-06-16 21:04:09 +08:00
Giles Odigwe
5affc9c333
* Reorganize A2A samples: client demos in 02-agents, use package A2AExecutor - Move client samples (agent_with_a2a, a2a_agent_as_function_tools) to samples/02-agents/a2a/ - Add new concept samples: polling, stream reconnection, protocol selection - Replace sample agent_executor.py with package-level A2AExecutor (stream=True) - Update 04-hosting/a2a to focus on server-side, point to 02-agents for clients - Add README.md for the new 02-agents/a2a/ sample collection Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix streaming artifact coalescing and address PR review feedback A2AExecutor fix: - Generate a stable artifact_id per stream in _run_stream so all streaming chunks share the same ID, enabling proper append=True coalescing per the A2A spec (TaskArtifactUpdateEvent with same artifactId). - Previously, item.message_id was None for OpenAI/Foundry streaming updates, causing the SDK to generate a new random UUID per token (100+ separate artifacts instead of 1 appended artifact). Sample improvements: - Replace join workaround with response.text now that coalescing works - Add background=True to stream reconnection resume call (required for continuation token emission on in-progress tasks) - Fix type ignore specificity in polling sample Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
5affc9c333
·
2026-06-01 07:09:11 +00:00
History
A2A Server Hosting Examples
This sample demonstrates how to host Agent Framework agents as A2A-compliant servers using the A2A (Agent2Agent) protocol.
Looking for client samples? See
samples/02-agents/a2a/for consuming remote A2A agents.
Server Samples
| Run this file | To... |
|---|---|
a2a_server.py |
Host an Agent Framework agent as an A2A-compliant server (multi-agent). |
agent_framework_to_a2a.py |
Minimal example: expose a single agent as an A2A server. |
Supporting Modules
| File | Description |
|---|---|
agent_definitions.py |
Agent and AgentCard factory definitions for invoice, policy, and logistics agents. |
invoice_data.py |
Mock invoice data and tool functions for the invoice agent. |
a2a_server.http |
REST Client requests for testing the server directly from VS Code. |
Environment Variables
Required (Server)
FOUNDRY_PROJECT_ENDPOINT— Your Azure AI Foundry project endpointFOUNDRY_MODEL— Model deployment name (e.g.gpt-4o)
Quick Start
All commands below should be run from this directory:
cd python/samples/04-hosting/a2a
0. Install Dependencies
Copy .env.example to .env and fill in your values:
copy .env.example .env
Option A — pip (standard):
python -m venv .venv
.venv\Scripts\Activate.ps1 # Windows
# source .venv/bin/activate # macOS / Linux
pip install -r requirements.txt
Option B — uv:
uv run python a2a_server.py --agent-type policy
1. Start the A2A Server
Note (Option A — pip users): Replace
uv run pythonwithpythonin alluv runcommands below.uvis not required once the virtual environment is activated.
Pick an agent type and start the server (each in its own terminal):
uv run python a2a_server.py --agent-type invoice --port 5000
uv run python a2a_server.py --agent-type policy --port 5001
uv run python a2a_server.py --agent-type logistics --port 5002
You can run one agent or all three — each listens on its own port.
2. Run a Client
Once a server is running, use any of the client samples in samples/02-agents/a2a/:
cd python/samples/02-agents/a2a
$env:A2A_AGENT_HOST = "http://localhost:5001/"
uv run python agent_with_a2a.py