mirror of
https://github.com/microsoft/agent-framework.git
synced 2026-06-16 21:04:09 +08:00
Evan Mattson
9b22ecd119
* Add requirements.txt and .env.example to a2a sample Beginners following the a2a/ sample had no pip-based install path: the directory lacked requirements.txt and .env.example, unlike every other 04-hosting/ sample. - Add requirements.txt with editable local package paths matching the pattern used in azure_functions/ and similar hosting samples - Add .env.example documenting FOUNDRY_PROJECT_ENDPOINT, FOUNDRY_MODEL, and A2A_AGENT_HOST - Update README Quick Start to cover both pip (.venv) and uv workflows Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Add `requirements.txt` and `.env.example` to the `a2a/` sample for pip-based setup Fixes #5395 * fix(a2a-sample): address PR review feedback for issue #5395 - Remove 'from repo root' wording from Option B uv heading in README to avoid contradicting the 'run from this directory' instruction - Fix A2A_AGENT_HOST default in .env.example from 5001 to 5000 to match function-tools flow; add clarifying comments about port usage - Add note for pip users explaining they can replace 'uv run python' with 'python' once the virtual environment is activated Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Address review feedback for #5395: Python: [Samples][Python] a2a/ sample missing requirements.txt — beginners cannot install dependencies --------- Co-authored-by: Copilot <copilot@github.com> Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
60 lines
1.4 KiB
Python
60 lines
1.4 KiB
Python
# Copyright (c) Microsoft. All rights reserved.
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"""
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Functional Workflow Basics — Orchestrate async functions with @workflow
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The functional API lets you write workflows as plain Python async functions.
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No graph concepts, no edges, no executor classes — just call functions
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and use native control flow (if/else, loops, asyncio.gather).
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This sample builds a minimal pipeline with two steps:
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1. Convert text to uppercase
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2. Reverse the text
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No external services are required.
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"""
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import asyncio
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from agent_framework import workflow
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# Plain async functions — no decorators needed
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async def to_upper_case(text: str) -> str:
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"""Convert input to uppercase."""
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return text.upper()
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async def reverse_text(text: str) -> str:
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"""Reverse the string."""
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return text[::-1]
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# <create_workflow>
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@workflow
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async def text_workflow(text: str) -> str:
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"""Uppercase the text, then reverse it."""
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upper = await to_upper_case(text)
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return await reverse_text(upper)
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# </create_workflow>
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async def main() -> None:
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# <run_workflow>
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result = await text_workflow.run("hello world")
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print(f"Output: {result.get_outputs()}")
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print(f"Final state: {result.get_final_state()}")
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# </run_workflow>
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"""
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Expected output:
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Output: ['DLROW OLLEH']
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Final state: WorkflowRunState.IDLE
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"""
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if __name__ == "__main__":
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asyncio.run(main())
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