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Python: [BREAKING] Python: Provider-leading client design & OpenAI package extraction (#4818)
* 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>
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@@ -3,7 +3,7 @@
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import asyncio
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from typing import Annotated
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from agent_framework import tool
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from agent_framework import Agent, tool
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from agent_framework.openai import OpenAIResponsesClient
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from dotenv import load_dotenv
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@@ -88,7 +88,8 @@ async def scenario_max_iterations():
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client.function_invocation_configuration["max_iterations"] = 3
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print(f" max_iterations = {client.function_invocation_configuration['max_iterations']}")
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agent = client.as_agent(
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agent = Agent(
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client=client,
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name="ResearchAgent",
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instructions=(
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"You are a research assistant. Use the search_web tool to answer "
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@@ -125,7 +126,8 @@ async def scenario_max_function_calls():
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print(f" max_iterations = {client.function_invocation_configuration['max_iterations']}")
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print(f" max_function_calls = {client.function_invocation_configuration['max_function_calls']}")
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agent = client.as_agent(
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agent = Agent(
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client=client,
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name="ResearchAgent",
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instructions=(
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"You are a research assistant. Use the search_web and get_weather "
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@@ -155,7 +157,8 @@ async def scenario_max_invocations():
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print("Scenario 3: max_invocations — lifetime cap on a tool")
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print("=" * 60)
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agent = OpenAIResponsesClient().as_agent(
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agent = Agent(
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client=OpenAIResponsesClient(),
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name="APIAgent",
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instructions="Use call_expensive_api when asked to analyze something.",
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tools=[call_expensive_api],
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@@ -212,12 +215,14 @@ async def scenario_per_agent_tool_limits():
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agent_b_lookup = tool(name="lookup", approval_mode="never_require", max_invocations=5)(_do_lookup)
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client = OpenAIResponsesClient()
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agent_a = client.as_agent(
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agent_a = Agent(
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client=client,
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name="AgentA",
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instructions="Use the lookup tool to answer questions.",
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tools=[agent_a_lookup],
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)
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agent_b = client.as_agent(
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agent_b = Agent(
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client=client,
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name="AgentB",
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instructions="Use the lookup tool to answer questions.",
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tools=[agent_b_lookup],
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@@ -270,7 +275,8 @@ async def scenario_combined():
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print(f" premium_lookup.max_invocations = {premium_lookup.max_invocations}")
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agent = client.as_agent(
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agent = Agent(
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client=client,
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name="MultiToolAgent",
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instructions="Use all available tools to answer comprehensively.",
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tools=[search_web, get_weather, premium_lookup],
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