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Eduard van Valkenburg
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* [BREAKING] Remove deprecated Python OpenAI/Azure AI surfaces Also clean up follow-on docs, environment guidance, package metadata, and lab test stability. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix deleted semantic-kernel sample links Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address PR review feedback Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * improve foundry language * Fix A2A Foundry sample regression Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
75 lines
2.8 KiB
Markdown
75 lines
2.8 KiB
Markdown
# A2A Agent Examples
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This sample demonstrates how to host and consume agents using the [A2A (Agent2Agent) protocol](https://a2a-protocol.org/latest/) with the `agent_framework` package. There are three runnable entry points:
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| Run this file | To... |
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| **[`a2a_server.py`](a2a_server.py)** | Host an Agent Framework agent as an A2A-compliant server. |
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| **[`agent_with_a2a.py`](agent_with_a2a.py)** | Connect to an A2A server and send requests (non-streaming and streaming). |
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| **[`a2a_agent_as_function_tools.py`](a2a_agent_as_function_tools.py)** | Convert A2A agent skills into function tools for a host agent. |
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The remaining files are supporting modules used by the server:
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| File | Description |
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| [`agent_definitions.py`](agent_definitions.py) | Agent and AgentCard factory definitions for invoice, policy, and logistics agents. |
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| [`agent_executor.py`](agent_executor.py) | Bridges the a2a-sdk `AgentExecutor` interface to Agent Framework agents. |
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| [`invoice_data.py`](invoice_data.py) | Mock invoice data and tool functions for the invoice agent. |
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| [`a2a_server.http`](a2a_server.http) | REST Client requests for testing the server directly from VS Code. |
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## Environment Variables
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Make sure to set the following environment variables before running the examples:
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### Required (Server)
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- `FOUNDRY_PROJECT_ENDPOINT` — Your Azure AI Foundry project endpoint
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- `FOUNDRY_MODEL` — Model deployment name (e.g. `gpt-4o`)
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### Required (Client)
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- `A2A_AGENT_HOST` — URL of the A2A server (e.g. `http://localhost:5001/`)
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### Required (Function Tools Sample)
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- `A2A_AGENT_HOST` — URL of the A2A server (e.g. `http://localhost:5000/`)
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- `FOUNDRY_PROJECT_ENDPOINT` — Your Azure AI Foundry project endpoint
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- `FOUNDRY_MODEL` — Model deployment name (e.g. `gpt-4o`)
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## Quick Start
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All commands below should be run from this directory:
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```powershell
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cd python/samples/04-hosting/a2a
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```
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### 1. Start the A2A Server
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Pick an agent type and start the server (each in its own terminal):
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```powershell
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uv run python a2a_server.py --agent-type invoice --port 5000
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uv run python a2a_server.py --agent-type policy --port 5001
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uv run python a2a_server.py --agent-type logistics --port 5002
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```
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You can run one agent or all three — each listens on its own port.
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### 2. Run the A2A Client
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In a separate terminal (from the same directory), point the client at a running server:
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```powershell
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$env:A2A_AGENT_HOST = "http://localhost:5001/"
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uv run python agent_with_a2a.py
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```
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### 3. Run the Function Tools Sample
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This sample resolves the remote agent's skills and registers each one as a function tool
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on a host Foundry-backed agent. The host agent then autonomously selects the right skill
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to handle the user's request.
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```powershell
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$env:A2A_AGENT_HOST = "http://localhost:5000/"
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uv run python a2a_agent_as_function_tools.py
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```
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