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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>
85 lines
3.2 KiB
Python
85 lines
3.2 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 typing import Annotated
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from agent_framework import Agent, FunctionInvocationContext, tool
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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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Exception Handling with MiddlewareTypes
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This sample demonstrates how to use middleware for centralized exception handling in function calls.
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The example shows:
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- How to catch exceptions thrown by functions and provide graceful error responses
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- Overriding function results when errors occur to provide user-friendly messages
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- Using middleware to implement retry logic, fallback mechanisms, or error reporting
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The middleware catches TimeoutError from an unstable data service and replaces it with
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a helpful message for the user, preventing raw exceptions from reaching the end user.
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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 unstable_data_service(
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query: Annotated[str, Field(description="The data query to execute.")],
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) -> str:
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"""A simulated data service that sometimes throws exceptions."""
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# Simulate failure
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raise TimeoutError("Data service request timed out")
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async def exception_handling_middleware(
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context: FunctionInvocationContext, call_next: Callable[[], Awaitable[None]]
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) -> None:
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function_name = context.function.name
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try:
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print(f"[ExceptionHandlingMiddleware] Executing function: {function_name}")
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await call_next()
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print(f"[ExceptionHandlingMiddleware] Function {function_name} completed successfully.")
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except TimeoutError as e:
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print(f"[ExceptionHandlingMiddleware] Caught TimeoutError: {e}")
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# Override function result to provide custom message in response.
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context.result = (
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"Request Timeout: The data service is taking longer than expected to respond."
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"Respond with message - 'Sorry for the inconvenience, please try again later.'"
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)
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async def main() -> None:
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"""Example demonstrating exception handling with middleware."""
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print("=== Exception Handling MiddlewareTypes Example ===")
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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="DataAgent",
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instructions="You are a helpful data assistant. Use the data service tool to fetch information for users.",
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tools=unstable_data_service,
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middleware=[exception_handling_middleware],
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) as agent,
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):
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query = "Get user statistics"
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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}")
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if __name__ == "__main__":
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asyncio.run(main())
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