mirror of
https://github.com/microsoft/agent-framework.git
synced 2026-06-16 21:04:09 +08:00
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file with only comment path updates (100 files) - One import-fix diff (workflow_as_agent_human_in_the_loop.py) - One superseded minimal_sample.py Resource files (sample.pdf, countries.json, employees.pdf, weather.json) copied to 02-agents/sample_assets/ and 02-agents/resources/ since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
This commit is contained in:
@@ -0,0 +1,63 @@
|
||||
# Copyright (c) Microsoft. All rights reserved.
|
||||
|
||||
import asyncio
|
||||
from random import randint
|
||||
from typing import Annotated
|
||||
|
||||
from agent_framework import Agent, tool
|
||||
from agent_framework.observability import configure_otel_providers, get_tracer
|
||||
from agent_framework.openai import OpenAIChatClient
|
||||
from opentelemetry.trace import SpanKind
|
||||
from opentelemetry.trace.span import format_trace_id
|
||||
from pydantic import Field
|
||||
|
||||
"""
|
||||
This sample shows how you can observe an agent in Agent Framework by using the
|
||||
same observability setup function.
|
||||
"""
|
||||
|
||||
|
||||
# NOTE: approval_mode="never_require" is for sample brevity. Use "always_require" in production; see samples/02-agents/tools/function_tool_with_approval.py and samples/02-agents/tools/function_tool_with_approval_and_threads.py.
|
||||
@tool(approval_mode="never_require")
|
||||
async def get_weather(
|
||||
location: Annotated[str, Field(description="The location to get the weather for.")],
|
||||
) -> str:
|
||||
"""Get the weather for a given location."""
|
||||
await asyncio.sleep(randint(0, 10) / 10.0) # Simulate a network call
|
||||
conditions = ["sunny", "cloudy", "rainy", "stormy"]
|
||||
return f"The weather in {location} is {conditions[randint(0, 3)]} with a high of {randint(10, 30)}°C."
|
||||
|
||||
|
||||
async def main():
|
||||
# calling `configure_otel_providers` will *enable* tracing and create the necessary tracing, logging
|
||||
# and metrics providers based on environment variables.
|
||||
# See the .env.example file for the available configuration options.
|
||||
configure_otel_providers()
|
||||
|
||||
questions = ["What's the weather in Amsterdam?", "and in Paris, and which is better?", "Why is the sky blue?"]
|
||||
|
||||
with get_tracer().start_as_current_span("Scenario: Agent Chat", kind=SpanKind.CLIENT) as current_span:
|
||||
print(f"Trace ID: {format_trace_id(current_span.get_span_context().trace_id)}")
|
||||
|
||||
agent = Agent(
|
||||
client=OpenAIChatClient(),
|
||||
tools=get_weather,
|
||||
name="WeatherAgent",
|
||||
instructions="You are a weather assistant.",
|
||||
id="weather-agent",
|
||||
)
|
||||
thread = agent.get_new_thread()
|
||||
for question in questions:
|
||||
print(f"\nUser: {question}")
|
||||
print(f"{agent.name}: ", end="")
|
||||
async for update in agent.run(
|
||||
question,
|
||||
thread=thread,
|
||||
stream=True,
|
||||
):
|
||||
if update.text:
|
||||
print(update.text, end="")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
asyncio.run(main())
|
||||
Reference in New Issue
Block a user