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a2856d3b92
* 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file with only comment path updates (100 files) - One import-fix diff (workflow_as_agent_human_in_the_loop.py) - One superseded minimal_sample.py Resource files (sample.pdf, countries.json, employees.pdf, weather.json) copied to 02-agents/sample_assets/ and 02-agents/resources/ since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
100 lines
2.8 KiB
Python
100 lines
2.8 KiB
Python
# Copyright (c) Microsoft. All rights reserved.
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import asyncio
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from agent_framework import WorkflowBuilder, WorkflowContext, executor
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from typing_extensions import Never
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"""
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Sample: Workflow Cancellation
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A three-step workflow where each step takes 2 seconds. We cancel it after 3 seconds
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to demonstrate mid-execution cancellation using asyncio tasks.
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Purpose:
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Show how to cancel a running workflow by wrapping it in an asyncio.Task. This pattern
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works with both workflow.run() stream=True and stream=False. Useful for implementing
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timeouts, graceful shutdown, or A2A executors that need cancellation support.
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Prerequisites:
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- No external services required.
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"""
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@executor(id="step1")
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async def step1(text: str, ctx: WorkflowContext[str]) -> None:
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"""First step - simulates 2 seconds of work."""
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print("[Step1] Starting...")
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await asyncio.sleep(2)
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print("[Step1] Done")
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await ctx.send_message(text.upper())
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@executor(id="step2")
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async def step2(text: str, ctx: WorkflowContext[str]) -> None:
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"""Second step - simulates 2 seconds of work."""
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print("[Step2] Starting...")
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await asyncio.sleep(2)
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print("[Step2] Done")
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await ctx.send_message(text + "!")
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@executor(id="step3")
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async def step3(text: str, ctx: WorkflowContext[Never, str]) -> None:
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"""Final step - simulates 2 seconds of work."""
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print("[Step3] Starting...")
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await asyncio.sleep(2)
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print("[Step3] Done")
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await ctx.yield_output(f"Result: {text}")
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def build_workflow():
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"""Build a simple 3-step sequential workflow (~6 seconds total)."""
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return (
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WorkflowBuilder(start_executor=step1)
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.add_edge(step1, step2)
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.add_edge(step2, step3)
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.build()
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)
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async def run_with_cancellation() -> None:
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"""Cancel the workflow after 3 seconds (mid-execution during Step2)."""
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print("=== Run with cancellation ===\n")
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workflow = build_workflow()
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# Wrap workflow.run() in a task to enable cancellation
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task = asyncio.create_task(workflow.run("hello world"))
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# Wait 3 seconds (Step1 completes, Step2 is mid-execution), then cancel
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await asyncio.sleep(3)
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print("\n--- Cancelling workflow ---\n")
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task.cancel()
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try:
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await task
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except asyncio.CancelledError:
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print("Workflow was cancelled")
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async def run_to_completion() -> None:
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"""Let the workflow run to completion and get the result."""
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print("=== Run to completion ===\n")
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workflow = build_workflow()
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# Run without cancellation - await the result directly
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result = await workflow.run("hello world")
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print(f"\nWorkflow completed with output: {result.get_outputs()}")
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async def main() -> None:
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"""Demonstrate both cancellation and completion scenarios."""
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await run_with_cancellation()
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print("\n")
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await run_to_completion()
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if __name__ == "__main__":
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asyncio.run(main())
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