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* Python: Provider-leading client design & OpenAI package extraction Major refactoring of the Python Agent Framework client architecture: - Extract OpenAI clients into new `agent-framework-openai` package - Core package no longer depends on openai, azure-identity, azure-ai-projects - Rename clients for discoverability: OpenAIResponsesClient → OpenAIChatClient, OpenAIChatClient → OpenAIChatCompletionClient - Unify `model_id`/`deployment_name`/`model_deployment_name` → `model` param - New FoundryChatClient for Azure AI Foundry Responses API - New FoundryAgent/FoundryAgentClient for connecting to pre-configured Foundry agents - Remove OpenAIBase/OpenAIConfigMixin from non-deprecated client MRO - Deprecate AzureOpenAI* clients, AzureAIClient, OpenAIAssistantsClient - Reorganize samples: azure_openai+azure_ai+azure_ai_agent → azure/ - ADR-0020: Provider-Leading Client Design Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix: missing Agent imports in samples, .model_id → .model in foundry_local sample Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix: CI failures — mypy errors, coverage targets, sample imports - azure-ai mypy: add type ignores for TypedDict total=, model arg, forward ref - Coverage: replace core.azure/openai targets with openai package target - project_provider: add type annotation for opts dict Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix: populate openai .pyi stub, fix broken README links, coverage targets Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fixes * updated observabilitty * reset azure init.pyi * fix errors * updated adr number * fix foundry local * fixed not renamed docstrings and comments, and added deprecated markers to old classes * fix tests and pyprojects * fix test vars * updated function tests * update durable * updated test setup for functions * Fix Foundry auth in workflow samples Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Stabilize Python integration workflows Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Update hosting samples for Foundry Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Trigger full CI rerun Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Trigger CI rerun again Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * trigger rerun * trigger rerun * fix for litellm * undo durabletask changes * Move Foundry APIs into foundry namespace Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix Foundry pyproject formatting Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Split provider samples by Foundry surface Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Restore hosting sample requirements Also fix the Foundry Local sample link after the provider sample move. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * updated tests * udpated foundry integration tests * removed dist from azurefunctions tests * Use separate Foundry clients for concurrent agents Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix client setup in azfunc and durable * disabled two tests * updated setup for some function and durable tests * improved azure openai setup with new clients * ignore deprecated * fixes * skip 11 * remove openai assistants int tests --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
186 lines
6.3 KiB
Python
186 lines
6.3 KiB
Python
# Copyright (c) Microsoft. All rights reserved.
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"""Sample weather agent for Agent Framework Debug UI."""
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import logging
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import os
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from collections.abc import AsyncIterable, Awaitable, Callable
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from typing import Annotated
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from agent_framework import (
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Agent,
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ChatContext,
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ChatResponse,
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ChatResponseUpdate,
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Content,
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FunctionInvocationContext,
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Message,
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MiddlewareTermination,
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ResponseStream,
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chat_middleware,
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function_middleware,
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tool,
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)
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from agent_framework.foundry import FoundryChatClient
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from agent_framework_devui import register_cleanup
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from dotenv import load_dotenv
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# Load environment variables from .env file
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load_dotenv()
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logger = logging.getLogger(__name__)
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def cleanup_resources():
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"""Cleanup function that runs when DevUI shuts down."""
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logger.info("=" * 60)
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logger.info(" Cleaning up resources...")
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logger.info(" (In production, this would close credentials, sessions, etc.)")
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logger.info("=" * 60)
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@chat_middleware
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async def security_filter_middleware(
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context: ChatContext,
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call_next: Callable[[], Awaitable[None]],
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) -> None:
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"""Chat middleware that blocks requests containing sensitive information."""
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blocked_terms = ["password", "secret", "api_key", "token"]
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# Check only the last message (most recent user input)
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last_message = context.messages[-1] if context.messages else None
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if last_message and last_message.role == "user" and last_message.text:
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message_lower = last_message.text.lower()
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for term in blocked_terms:
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if term in message_lower:
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error_message = (
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"I cannot process requests containing sensitive information. "
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"Please rephrase your question without including passwords, secrets, "
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"or other sensitive data."
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)
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if context.stream:
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# Streaming mode: wrap in ResponseStream
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async def blocked_stream(msg: str = error_message) -> AsyncIterable[ChatResponseUpdate]:
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yield ChatResponseUpdate(
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contents=[Content.from_text(text=msg)],
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role="assistant",
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)
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response = ChatResponse(messages=[Message(role="assistant", text=error_message)])
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context.result = ResponseStream(blocked_stream(), finalizer=lambda _, r=response: r)
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else:
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# Non-streaming mode: return complete response
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context.result = ChatResponse(
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messages=[
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Message(
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role="assistant",
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text=error_message,
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)
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]
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)
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raise MiddlewareTermination(result=context.result)
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await call_next()
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@function_middleware
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async def atlantis_location_filter_middleware(
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context: FunctionInvocationContext,
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call_next: Callable[[], Awaitable[None]],
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) -> None:
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"""Function middleware that blocks weather requests for Atlantis."""
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# Check if location parameter is "atlantis"
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location = getattr(context.arguments, "location", None)
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if location and location.lower() == "atlantis":
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context.result = (
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"Blocked! Hold up right there!! Tell the user that "
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"'Atlantis is a special place, we must never ask about the weather there!!'"
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)
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raise MiddlewareTermination(result=context.result)
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await call_next()
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# NOTE: approval_mode="never_require" is for sample brevity. Use "always_require" in production;
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# see samples/02-agents/tools/function_tool_with_approval.py
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# and samples/02-agents/tools/function_tool_with_approval_and_sessions.py.
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@tool(approval_mode="never_require")
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def get_weather(
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location: Annotated[str, "The location to get the weather for."],
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) -> str:
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"""Get the weather for a given location."""
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conditions = ["sunny", "cloudy", "rainy", "stormy"]
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temperature = 53
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return f"The weather in {location} is {conditions[0]} with a high of {temperature}°C."
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@tool(approval_mode="never_require")
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def get_forecast(
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location: Annotated[str, "The location to get the forecast for."],
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days: Annotated[int, "Number of days for forecast"] = 3,
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) -> str:
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"""Get weather forecast for multiple days."""
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conditions = ["sunny", "cloudy", "rainy", "stormy"]
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forecast: list[str] = []
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for day in range(1, days + 1):
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condition = conditions[0]
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temp = 53
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forecast.append(f"Day {day}: {condition}, {temp}°C")
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return f"Weather forecast for {location}:\n" + "\n".join(forecast)
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@tool(approval_mode="always_require")
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def send_email(
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recipient: Annotated[str, "The email address of the recipient."],
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subject: Annotated[str, "The subject of the email."],
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body: Annotated[str, "The body content of the email."],
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) -> str:
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"""Simulate sending an email."""
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return f"Email sent to {recipient} with subject '{subject}'."
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# Agent instance following Agent Framework conventions
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agent = Agent(
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name="AzureWeatherAgent",
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description="A helpful agent that provides weather information and forecasts",
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instructions="""
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You are a weather assistant. You can provide current weather information
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and forecasts for any location. Always be helpful and provide detailed
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weather information when asked.
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""",
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client=FoundryChatClient(
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api_key=os.environ.get("AZURE_OPENAI_API_KEY", ""),
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),
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tools=[get_weather, get_forecast, send_email],
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middleware=[security_filter_middleware, atlantis_location_filter_middleware],
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)
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# Register cleanup hook - demonstrates resource cleanup on shutdown
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register_cleanup(agent, cleanup_resources)
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def main():
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"""Launch the Azure weather agent in DevUI."""
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import logging
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from agent_framework.devui import serve
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# Setup logging
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logging.basicConfig(level=logging.INFO, format="%(message)s")
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logger = logging.getLogger(__name__)
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logger.info("Starting Azure Weather Agent")
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logger.info("Available at: http://localhost:8090")
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logger.info("Entity ID: agent_AzureWeatherAgent")
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# Launch server with the agent
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serve(entities=[agent], port=8090, auto_open=True)
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if __name__ == "__main__":
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main()
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