mirror of
https://github.com/microsoft/agent-framework.git
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Eduard van Valkenburg
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file with only comment path updates (100 files) - One import-fix diff (workflow_as_agent_human_in_the_loop.py) - One superseded minimal_sample.py Resource files (sample.pdf, countries.json, employees.pdf, weather.json) copied to 02-agents/sample_assets/ and 02-agents/resources/ since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
80 lines
3.0 KiB
Python
80 lines
3.0 KiB
Python
# Copyright (c) Microsoft. All rights reserved.
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import asyncio
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from typing import cast
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from agent_framework import Message
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from agent_framework.azure import AzureOpenAIChatClient
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from agent_framework.orchestrations import SequentialBuilder
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from azure.identity import AzureCliCredential
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"""
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Sample: Sequential workflow (agent-focused API) with shared conversation context
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Build a high-level sequential workflow using SequentialBuilder and two domain agents.
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The shared conversation (list[Message]) flows through each participant. Each agent
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appends its assistant message to the context. The workflow outputs the final conversation
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list when complete.
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Note on internal adapters:
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- Sequential orchestration includes small adapter nodes for input normalization
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("input-conversation"), agent-response conversion ("to-conversation:<participant>"),
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and completion ("complete"). These may appear as ExecutorInvoke/Completed events in
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the stream—similar to how concurrent orchestration includes a dispatcher/aggregator.
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You can safely ignore them when focusing on agent progress.
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Prerequisites:
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- Azure OpenAI access configured for AzureOpenAIChatClient (use az login + env vars)
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"""
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async def main() -> None:
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# 1) Create agents
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client = AzureOpenAIChatClient(credential=AzureCliCredential())
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writer = client.as_agent(
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instructions=("You are a concise copywriter. Provide a single, punchy marketing sentence based on the prompt."),
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name="writer",
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)
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reviewer = client.as_agent(
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instructions=("You are a thoughtful reviewer. Give brief feedback on the previous assistant message."),
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name="reviewer",
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)
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# 2) Build sequential workflow: writer -> reviewer
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workflow = SequentialBuilder(participants=[writer, reviewer]).build()
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# 3) Run and collect outputs
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outputs: list[list[Message]] = []
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async for event in workflow.run("Write a tagline for a budget-friendly eBike.", stream=True):
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if event.type == "output":
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outputs.append(cast(list[Message], event.data))
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if outputs:
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print("===== Final Conversation =====")
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for i, msg in enumerate(outputs[-1], start=1):
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name = msg.author_name or ("assistant" if msg.role == "assistant" else "user")
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print(f"{'-' * 60}\n{i:02d} [{name}]\n{msg.text}")
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"""
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Sample Output:
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===== Final Conversation =====
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------------------------------------------------------------
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01 [user]
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Write a tagline for a budget-friendly eBike.
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------------------------------------------------------------
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02 [writer]
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Ride farther, spend less—your affordable eBike adventure starts here.
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------------------------------------------------------------
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03 [reviewer]
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This tagline clearly communicates affordability and the benefit of extended travel, making it
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appealing to budget-conscious consumers. It has a friendly and motivating tone, though it could
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be slightly shorter for more punch. Overall, a strong and effective suggestion!
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"""
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if __name__ == "__main__":
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asyncio.run(main())
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