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# Copyright (c) Microsoft. All rights reserved.
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import asyncio
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import os
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import httpx
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from a2a.client import A2ACardResolver
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from agent_framework.a2a import A2AAgent
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from dotenv import load_dotenv
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# Load environment variables from .env file
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load_dotenv()
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"""
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Agent2Agent (A2A) Protocol Integration Sample
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This sample demonstrates how to connect to and communicate with external agents using
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the A2A protocol. A2A is a standardized communication protocol that enables interoperability
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between different agent systems, allowing agents built with different frameworks and
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technologies to communicate seamlessly.
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By default the A2AAgent waits for the remote agent to finish before returning (background=False).
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This means long-running A2A tasks are handled transparently — the caller simply awaits the result.
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For advanced scenarios where you need to poll or resubscribe to in-progress tasks, see the
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a2a_polling and a2a_stream_reconnection samples in this folder.
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For more information about the A2A protocol specification, visit: https://a2a-protocol.org/latest/
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Key concepts demonstrated:
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- Discovering A2A-compliant agents using AgentCard resolution
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- Creating A2AAgent instances to wrap external A2A endpoints
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- Non-streaming request/response
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- Streaming responses to receive incremental updates via SSE
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To run this sample:
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1. Set the A2A_AGENT_HOST environment variable to point to an A2A-compliant agent endpoint
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Example: export A2A_AGENT_HOST="https://your-a2a-agent.example.com"
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2. Ensure the target agent exposes its AgentCard at /.well-known/agent.json
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3. Run: uv run python agent_with_a2a.py
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Visit the README.md for more details on setting up and running A2A agents.
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"""
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async def main():
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"""Demonstrates connecting to and communicating with an A2A-compliant agent."""
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# 1. Get A2A agent host from environment.
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a2a_agent_host = os.getenv("A2A_AGENT_HOST")
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if not a2a_agent_host:
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raise ValueError("A2A_AGENT_HOST environment variable is not set")
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print(f"Connecting to A2A agent at: {a2a_agent_host}")
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# 2. Resolve the agent card to discover capabilities.
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async with httpx.AsyncClient(timeout=60.0) as http_client:
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resolver = A2ACardResolver(httpx_client=http_client, base_url=a2a_agent_host)
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agent_card = await resolver.get_agent_card()
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print(f"Found agent: {agent_card.name} - {agent_card.description}")
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# 3. Create A2A agent instance.
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async with A2AAgent(
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name=agent_card.name,
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description=agent_card.description,
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agent_card=agent_card,
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url=a2a_agent_host,
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) as agent:
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# 4. Simple request/response — the agent waits for completion internally.
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# Even if the remote agent takes a while, background=False (the default)
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# means the call blocks until a terminal state is reached.
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print("\n--- Non-streaming response ---")
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response = await agent.run("What are your capabilities?")
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print(f"Agent Response:\n {response.text}")
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# 5. Stream a response — the natural model for A2A.
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# Updates arrive as Server-Sent Events, letting you observe
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# progress in real time as the remote agent works.
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print("\n--- Streaming response ---")
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stream = agent.run("Tell me about yourself", stream=True)
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async for update in stream:
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for content in update.contents:
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if content.text:
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print(content.text, end="", flush=True)
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print() # newline after streaming completes
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response = await stream.get_final_response()
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print(f"\nFinal response:\n {response.text}")
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if __name__ == "__main__":
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asyncio.run(main())
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"""
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Sample output:
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Connecting to A2A agent at: http://localhost:5001/
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Found agent: MyAgent - A helpful AI assistant
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--- Non-streaming response ---
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Agent Response:
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I can help with code generation, analysis, and general Q&A.
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--- Streaming response ---
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I am an AI assistant built to help with various tasks.
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Final response:
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I am an AI assistant built to help with various tasks.
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"""
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