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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file with only comment path updates (100 files) - One import-fix diff (workflow_as_agent_human_in_the_loop.py) - One superseded minimal_sample.py Resource files (sample.pdf, countries.json, employees.pdf, weather.json) copied to 02-agents/sample_assets/ and 02-agents/resources/ since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
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# Simple Workflow Sample
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This sample demonstrates the basics of declarative workflows:
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- Setting variables
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- Evaluating expressions
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- Sending output to users
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## Files
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- `workflow.yaml` - The workflow definition
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- `main.py` - Python code to execute the workflow
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## Running
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```bash
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python main.py
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```
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## What It Does
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1. Sets a greeting variable
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2. Sets a name from input (or uses default)
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3. Combines them into a message
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4. Sends the message as output
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# Copyright (c) Microsoft. All rights reserved.
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"""Simple workflow sample - demonstrates basic variable setting and output."""
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import asyncio
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from pathlib import Path
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from agent_framework.declarative import WorkflowFactory
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async def main() -> None:
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"""Run the simple greeting workflow."""
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# Create a workflow factory
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factory = WorkflowFactory()
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# Load the workflow from YAML
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workflow_path = Path(__file__).parent / "workflow.yaml"
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workflow = factory.create_workflow_from_yaml_path(workflow_path)
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print(f"Loaded workflow: {workflow.name}")
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print("-" * 40)
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# Run with default name
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print("\nRunning with default name:")
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result = await workflow.run({})
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for output in result.get_outputs():
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print(f" Output: {output}")
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# Run with a custom name
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print("\nRunning with custom name 'Alice':")
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result = await workflow.run({"name": "Alice"})
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for output in result.get_outputs():
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print(f" Output: {output}")
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print("\n" + "-" * 40)
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print("Workflow completed!")
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if __name__ == "__main__":
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asyncio.run(main())
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name: simple-greeting-workflow
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description: A simple workflow that greets the user
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actions:
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# Set a greeting prefix
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- kind: SetValue
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id: set_greeting
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displayName: Set greeting prefix
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path: Local.greeting
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value: Hello
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# Set the user's name from input, or use a default
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- kind: SetValue
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id: set_name
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displayName: Set user name
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path: Local.name
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value: =If(IsBlank(inputs.name), "World", inputs.name)
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# Build the full message
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- kind: SetValue
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id: build_message
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displayName: Build greeting message
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path: Local.message
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value: =Concat(Local.greeting, ", ", Local.name, "!")
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# Send the greeting to the user
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- kind: SendActivity
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id: send_greeting
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displayName: Send greeting to user
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activity:
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text: =Local.message
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# Also store it in outputs
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- kind: SetValue
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id: set_output
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displayName: Store result in outputs
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path: Workflow.Outputs.greeting
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value: =Local.message
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