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35097d8c75
* Python: Add long-running agents and background responses support - Add ContinuationToken TypedDict to core types - Add continuation_token field to ChatResponse, ChatResponseUpdate, AgentResponse, and AgentResponseUpdate - Add background and continuation_token options to OpenAIResponsesOptions - Implement polling via responses.retrieve() and streaming resumption in RawOpenAIResponsesClient - Propagate continuation tokens through agent run() and map_chat_to_agent_update - Fix streaming telemetry 'Failed to detach context' error in both ChatTelemetryLayer and AgentTelemetryLayer by avoiding trace.use_span() context attachment for async-managed spans - Add 14 unit tests for continuation token types and background flows - Add background_responses sample showing polling and stream resumption Fixes #2478 * Python: Add A2A long-running task support via ContinuationToken - Make ContinuationToken provider-agnostic (total=False, optional task_id/context_id fields) - Add background param to A2AAgent.run() controlling token emission - Add poll_task() for single-request task state retrieval - Add resubscribe support via continuation_token param on run() - Extract _updates_from_task() and _map_a2a_stream() for cleaner code - Streamline run()/streaming by removing intermediate _stream_updates wrapper - Update A2A sample to show background=False (default) with link to background_responses sample - Remove stale BareAgent from __all__ - Add 12 new A2A continuation token tests * fix logic for overriding continuation token when done * refactored ContinuationToken setup
140 lines
4.2 KiB
Python
140 lines
4.2 KiB
Python
# Copyright (c) Microsoft. All rights reserved.
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import asyncio
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from agent_framework import ChatAgent
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from agent_framework.openai import OpenAIResponsesClient
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"""Background Responses Sample.
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This sample demonstrates long-running agent operations using the OpenAI
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Responses API ``background`` option. Two patterns are shown:
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1. **Non-streaming polling** – start a background run, then poll with the
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``continuation_token`` until the operation completes.
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2. **Streaming with resumption** – start a background streaming run, simulate
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an interruption, and resume from the last ``continuation_token``.
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Prerequisites:
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- Set the ``OPENAI_API_KEY`` environment variable.
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- A model that benefits from background execution (e.g. ``o3``).
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"""
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# 1. Create the agent with an OpenAI Responses client.
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agent = ChatAgent(
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name="researcher",
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instructions="You are a helpful research assistant. Be concise.",
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chat_client=OpenAIResponsesClient(model_id="o3"),
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)
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async def non_streaming_polling() -> None:
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"""Demonstrate non-streaming background run with polling."""
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print("=== Non-Streaming Polling ===\n")
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thread = agent.get_new_thread()
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# 2. Start a background run — returns immediately.
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response = await agent.run(
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messages="Briefly explain the theory of relativity in two sentences.",
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thread=thread,
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options={"background": True},
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)
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print(f"Initial status: continuation_token={'set' if response.continuation_token else 'None'}")
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# 3. Poll until the operation completes.
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poll_count = 0
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while response.continuation_token is not None:
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poll_count += 1
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await asyncio.sleep(2)
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response = await agent.run(
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thread=thread,
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options={"continuation_token": response.continuation_token},
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)
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print(f" Poll {poll_count}: continuation_token={'set' if response.continuation_token else 'None'}")
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# 4. Done — print the final result.
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print(f"\nResult ({poll_count} poll(s)):\n{response.text}\n")
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async def streaming_with_resumption() -> None:
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"""Demonstrate streaming background run with simulated interruption and resumption."""
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print("=== Streaming with Resumption ===\n")
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thread = agent.get_new_thread()
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# 2. Start a streaming background run.
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last_token = None
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stream = agent.run(
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messages="Briefly list three benefits of exercise.",
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stream=True,
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thread=thread,
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options={"background": True},
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)
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# 3. Read some chunks, then simulate an interruption.
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chunk_count = 0
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print("First stream (before interruption):")
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async for update in stream:
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last_token = update.continuation_token
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if update.text:
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print(update.text, end="", flush=True)
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chunk_count += 1
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if chunk_count >= 3:
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print("\n [simulated interruption]")
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break
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# 4. Resume from the last continuation token.
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if last_token is not None:
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print("Resumed stream:")
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stream = agent.run(
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stream=True,
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thread=thread,
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options={"continuation_token": last_token},
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)
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async for update in stream:
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if update.text:
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print(update.text, end="", flush=True)
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print("\n")
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async def main() -> None:
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await non_streaming_polling()
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await streaming_with_resumption()
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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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=== Non-Streaming Polling ===
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Initial status: continuation_token=set
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Poll 1: continuation_token=set
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Poll 2: continuation_token=None
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Result (2 poll(s)):
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The theory of relativity, developed by Albert Einstein, consists of special
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relativity (1905), which shows that the laws of physics are the same for all
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non-accelerating observers and that the speed of light is constant, and general
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relativity (1915), which describes gravity as the curvature of spacetime caused
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by mass and energy.
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=== Streaming with Resumption ===
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First stream (before interruption):
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Here are three
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[simulated interruption]
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Resumed stream:
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key benefits of regular exercise:
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1. **Improved cardiovascular health** ...
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2. **Better mental health** ...
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3. **Stronger muscles and bones** ...
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"""
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