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* 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>
97 lines
3.0 KiB
Python
97 lines
3.0 KiB
Python
# 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_dotenv()
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"""
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A2A Polling for Task Completion
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This sample demonstrates how to poll a long-running A2A task for completion
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using continuation tokens. When `background=True`, the agent returns immediately
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with a continuation token that you can use to check progress later.
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Key concepts demonstrated:
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- Starting a background A2A task with `background=True`
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- Receiving a continuation token for in-progress tasks
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- Polling with `poll_task()` until the task reaches a terminal state
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This is the A2A equivalent of the .NET A2AAgent_PollingForTaskCompletion sample.
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Prerequisites:
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- Set A2A_AGENT_HOST to the URL of a running A2A server
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To run this sample:
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cd python/samples/02-agents/a2a
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uv run python a2a_polling.py
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"""
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async def main() -> None:
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"""Demonstrates polling a long-running A2A task for completion."""
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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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# 1. Resolve agent card and create agent.
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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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async with A2AAgent(
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name=agent_card.name,
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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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# 2. Start a background task — the agent returns immediately.
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print("Starting background task...")
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response = await agent.run(
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"Write a detailed research report on quantum computing advances in 2025",
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background=True,
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)
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# 3. Check if we got a continuation token (task still in progress).
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if response.continuation_token is None:
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# Task completed immediately — no polling needed.
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print("Task completed immediately:")
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print(f" {response.text}")
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return
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# 4. Poll until the task completes.
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token = response.continuation_token
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poll_count = 0
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while token is not None:
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poll_count += 1
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print(f" Poll #{poll_count} — task still in progress, waiting 2s...")
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await asyncio.sleep(2)
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response = await agent.poll_task(token) # type: ignore[arg-type]
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token = response.continuation_token
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# 5. Task is done — print the final response.
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print(f"\nTask completed after {poll_count} poll(s):")
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print(f" {response.text[:200]}...")
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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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Starting background task...
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Poll #1 — task still in progress, waiting 2s...
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Poll #2 — task still in progress, waiting 2s...
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Poll #3 — task still in progress, waiting 2s...
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Task completed after 3 poll(s):
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Quantum computing has seen remarkable progress in 2025, with breakthroughs in...
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"""
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