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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>
141 lines
5.0 KiB
Python
141 lines
5.0 KiB
Python
# Copyright (c) Microsoft. All rights reserved.
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import asyncio
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from collections.abc import Awaitable, Callable
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from random import randint
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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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FunctionInvocationContext,
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tool,
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)
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from agent_framework.foundry import FoundryChatClient
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from azure.identity.aio import AzureCliCredential
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from dotenv import load_dotenv
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from pydantic import Field
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# Load environment variables from .env file
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load_dotenv()
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"""
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Shared State Function-based MiddlewareTypes Example
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This sample demonstrates how to implement function-based middleware within a class to share state.
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The example includes:
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- A MiddlewareContainer class with two simple function middleware methods
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- First middleware: Counts function calls and stores the count in shared state
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- Second middleware: Uses the shared count to add call numbers to function results
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This approach shows how middleware can work together by sharing state within the same class instance.
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"""
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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, Field(description="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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return f"The weather in {location} is {conditions[randint(0, 3)]} with a high of {randint(10, 30)}°C."
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@tool(approval_mode="never_require")
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def get_time(
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timezone: Annotated[str, Field(description="The timezone to get the time for.")] = "UTC",
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) -> str:
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"""Get the current time for a given timezone."""
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import datetime
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return f"The current time in {timezone} is {datetime.datetime.now().strftime('%H:%M:%S')}"
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class MiddlewareContainer:
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"""Container class that holds middleware functions with shared state."""
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def __init__(self) -> None:
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# Simple shared state: count function calls
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self.call_count: int = 0
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async def call_counter_middleware(
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self,
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context: FunctionInvocationContext,
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call_next: Callable[[], Awaitable[None]],
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) -> None:
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"""First middleware: increments call count in shared state."""
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# Increment the shared call count
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self.call_count += 1
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print(f"[CallCounter] This is function call #{self.call_count}")
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# Call the next middleware/function
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await call_next()
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async def result_enhancer_middleware(
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self,
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context: FunctionInvocationContext,
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call_next: Callable[[], Awaitable[None]],
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) -> None:
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"""Second middleware: uses shared call count to enhance function results."""
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print(f"[ResultEnhancer] Current total calls so far: {self.call_count}")
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# Call the next middleware/function
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await call_next()
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# After function execution, enhance the result using shared state
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if context.result:
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enhanced_result = f"[Call #{self.call_count}] {context.result}"
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context.result = enhanced_result
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print("[ResultEnhancer] Enhanced result with call number")
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async def main() -> None:
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"""Example demonstrating shared state function-based middleware."""
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print("=== Shared State Function-based MiddlewareTypes Example ===")
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# Create middleware container with shared state
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middleware_container = MiddlewareContainer()
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# For authentication, run `az login` command in terminal or replace AzureCliCredential with preferred
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# authentication option.
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async with (
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AzureCliCredential() as credential,
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Agent(
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client=FoundryChatClient(credential=credential),
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name="UtilityAgent",
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instructions="You are a helpful assistant that can provide weather information and current time.",
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tools=[get_weather, get_time],
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# Pass both middleware functions from the same container instance
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# Order matters: counter runs first to increment count,
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# then result enhancer uses the updated count
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middleware=[
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middleware_container.call_counter_middleware,
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middleware_container.result_enhancer_middleware,
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],
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) as agent,
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):
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# Test multiple requests to see shared state in action
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queries = [
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"What's the weather like in New York?",
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"What time is it in London?",
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"What's the weather in Tokyo?",
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]
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for i, query in enumerate(queries, 1):
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print(f"\n--- Query {i} ---")
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print(f"User: {query}")
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result = await agent.run(query)
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print(f"Agent: {result.text if result.text else 'No response'}")
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# Display final statistics
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print("\n=== Final Statistics ===")
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print(f"Total function calls made: {middleware_container.call_count}")
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if __name__ == "__main__":
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asyncio.run(main())
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