Files
agent-framework/python/samples/02-agents/background_responses.py
Eduard van Valkenburg a2856d3b92 Python: restructure: Python samples into progressive 01-05 layout (#3862)
* restructure: Python samples into progressive 01-05 layout

- 01-get-started/: 6 numbered steps (hello agent → hosting)
- 02-agents/: all agent concept samples (tools, middleware, providers, etc.)
- 03-workflows/: ALL existing workflow samples preserved as-is
- 04-hosting/: azure-functions, durabletask, a2a
- 05-end-to-end/: demos, evaluation, hosted agents
- Old files moved to _to_delete/ for review
- Added AGENTS.md with structure documentation
- autogen-migration/ and semantic-kernel-migration/ preserved at root

* fix: switch to AzureOpenAI Foundry, fix CI failures

- Switch all 01-get-started samples to AzureOpenAIResponsesClient with
  Azure AI Foundry project endpoint (AZURE_AI_PROJECT_ENDPOINT +
  AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME + AzureCliCredential)
- Add _to_delete/ and 05-end-to-end/ to pyrightconfig.samples.json excludes
- Fix test paths in packages/ that referenced old getting_started/ dirs:
  durabletask conftest + streaming test, azurefunctions conftest,
  devui conftest + capture_messages + openai_sdk_integration
- Fix workflow_as_agent_human_in_the_loop.py import (sibling import)
- Update hosting READMEs and tool comment paths
- Replace root README.md with new structure overview
- Update AGENTS.md to document Azure OpenAI Foundry as default provider

* cleanup: remove _to_delete folder, copy resource files to active dirs

All files in _to_delete/ were either:
- Exact duplicates of files in the new structure (240 files)
- Same file with only comment path updates (100 files)
- One import-fix diff (workflow_as_agent_human_in_the_loop.py)
- One superseded minimal_sample.py

Resource files (sample.pdf, countries.json, employees.pdf, weather.json)
copied to 02-agents/sample_assets/ and 02-agents/resources/ since active
samples reference them.

* fix: address PR review comments, centralize resources, remove root duplicates

- Fix type annotation in 04_memory.py (string union -> proper types)
- Fix old sample paths in observability files
- Fix grammar/spelling in observability samples
- Move sample_assets/ and resources/ to shared/ folder
- Remove 8 duplicate observability files from 02-agents root
- Update resource path references in multimodal_input and provider samples

* fix: update broken links from old getting_started paths to new structure

- Update relative paths in READMEs: getting_started/ → 01-get-started/,
  02-agents/, 03-workflows/, 04-hosting/, 05-end-to-end/
- Fix absolute GitHub URLs in package READMEs
- Fix broken link in ollama package README

* fix: convert absolute GitHub URLs to relative paths for link checker

Absolute URLs to python/samples/ on main branch 404 until PR merges.
Converted to relative paths that linkspector can verify locally.

* fix: update link for handoff sample moved to orchestrations/

* fix: update chatkit-integration README path from demos/ to 05-end-to-end/

* fix: update broken links in orchestrations README to match flat directory structure
2026-02-12 17:36:36 +00:00

140 lines
4.1 KiB
Python
Raw Permalink Blame History

This file contains ambiguous Unicode characters
This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.
# Copyright (c) Microsoft. All rights reserved.
import asyncio
from agent_framework import Agent
from agent_framework.openai import OpenAIResponsesClient
"""Background Responses Sample.
This sample demonstrates long-running agent operations using the OpenAI
Responses API ``background`` option. Two patterns are shown:
1. **Non-streaming polling** start a background run, then poll with the
``continuation_token`` until the operation completes.
2. **Streaming with resumption** start a background streaming run, simulate
an interruption, and resume from the last ``continuation_token``.
Prerequisites:
- Set the ``OPENAI_API_KEY`` environment variable.
- A model that benefits from background execution (e.g. ``o3``).
"""
# 1. Create the agent with an OpenAI Responses client.
agent = Agent(
name="researcher",
instructions="You are a helpful research assistant. Be concise.",
client=OpenAIResponsesClient(model_id="o3"),
)
async def non_streaming_polling() -> None:
"""Demonstrate non-streaming background run with polling."""
print("=== Non-Streaming Polling ===\n")
thread = agent.get_new_thread()
# 2. Start a background run — returns immediately.
response = await agent.run(
messages="Briefly explain the theory of relativity in two sentences.",
thread=thread,
options={"background": True},
)
print(f"Initial status: continuation_token={'set' if response.continuation_token else 'None'}")
# 3. Poll until the operation completes.
poll_count = 0
while response.continuation_token is not None:
poll_count += 1
await asyncio.sleep(2)
response = await agent.run(
thread=thread,
options={"continuation_token": response.continuation_token},
)
print(f" Poll {poll_count}: continuation_token={'set' if response.continuation_token else 'None'}")
# 4. Done — print the final result.
print(f"\nResult ({poll_count} poll(s)):\n{response.text}\n")
async def streaming_with_resumption() -> None:
"""Demonstrate streaming background run with simulated interruption and resumption."""
print("=== Streaming with Resumption ===\n")
thread = agent.get_new_thread()
# 2. Start a streaming background run.
last_token = None
stream = agent.run(
messages="Briefly list three benefits of exercise.",
stream=True,
thread=thread,
options={"background": True},
)
# 3. Read some chunks, then simulate an interruption.
chunk_count = 0
print("First stream (before interruption):")
async for update in stream:
last_token = update.continuation_token
if update.text:
print(update.text, end="", flush=True)
chunk_count += 1
if chunk_count >= 3:
print("\n [simulated interruption]")
break
# 4. Resume from the last continuation token.
if last_token is not None:
print("Resumed stream:")
stream = agent.run(
stream=True,
thread=thread,
options={"continuation_token": last_token},
)
async for update in stream:
if update.text:
print(update.text, end="", flush=True)
print("\n")
async def main() -> None:
await non_streaming_polling()
await streaming_with_resumption()
if __name__ == "__main__":
asyncio.run(main())
"""
Sample output:
=== Non-Streaming Polling ===
Initial status: continuation_token=set
Poll 1: continuation_token=set
Poll 2: continuation_token=None
Result (2 poll(s)):
The theory of relativity, developed by Albert Einstein, consists of special
relativity (1905), which shows that the laws of physics are the same for all
non-accelerating observers and that the speed of light is constant, and general
relativity (1915), which describes gravity as the curvature of spacetime caused
by mass and energy.
=== Streaming with Resumption ===
First stream (before interruption):
Here are three
[simulated interruption]
Resumed stream:
key benefits of regular exercise:
1. **Improved cardiovascular health** ...
2. **Better mental health** ...
3. **Stronger muscles and bones** ...
"""