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>
This commit is contained in:
Eduard van Valkenburg
2026-03-25 10:56:29 +01:00
committed by GitHub
Unverified
parent 4b533608b6
commit 5e056b672e
485 changed files with 9784 additions and 12084 deletions
@@ -27,12 +27,13 @@ import os
import uuid
from pathlib import Path
from agent_framework.azure import AzureOpenAIResponsesClient
from agent_framework import Agent
from agent_framework.declarative import (
AgentExternalInputRequest,
AgentExternalInputResponse,
WorkflowFactory,
)
from agent_framework.foundry import FoundryChatClient
from azure.identity import AzureCliCredential
from dotenv import load_dotenv
from pydantic import BaseModel, Field
@@ -168,49 +169,55 @@ async def main() -> None:
plugin = TicketingPlugin()
# Create Azure OpenAI client
client = AzureOpenAIResponsesClient(
project_endpoint=os.environ["AZURE_AI_PROJECT_ENDPOINT"],
client = FoundryChatClient(
project_endpoint=os.environ["FOUNDRY_PROJECT_ENDPOINT"],
# This sample has been tested only on `gpt-5.1` and may not work as intended on other models
# This sample is known to fail on `gpt-5-mini` reasoning input (GH issue #4059)
deployment_name=os.environ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
model=os.environ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
credential=AzureCliCredential(),
)
# Create agents with structured outputs
self_service_agent = client.as_agent(
self_service_agent = Agent(
client=client,
name="SelfServiceAgent",
instructions=SELF_SERVICE_INSTRUCTIONS,
default_options={"response_format": SelfServiceResponse},
)
ticketing_agent = client.as_agent(
ticketing_agent = Agent(
client=client,
name="TicketingAgent",
instructions=TICKETING_INSTRUCTIONS,
tools=plugin.get_functions(),
default_options={"response_format": TicketingResponse},
)
routing_agent = client.as_agent(
routing_agent = Agent(
client=client,
name="TicketRoutingAgent",
instructions=TICKET_ROUTING_INSTRUCTIONS,
tools=[plugin.get_ticket],
default_options={"response_format": RoutingResponse},
)
windows_support_agent = client.as_agent(
windows_support_agent = Agent(
client=client,
name="WindowsSupportAgent",
instructions=WINDOWS_SUPPORT_INSTRUCTIONS,
tools=[plugin.get_ticket],
default_options={"response_format": SupportResponse},
)
resolution_agent = client.as_agent(
resolution_agent = Agent(
client=client,
name="TicketResolutionAgent",
instructions=RESOLUTION_INSTRUCTIONS,
tools=[plugin.resolve_ticket],
)
escalation_agent = client.as_agent(
escalation_agent = Agent(
client=client,
name="TicketEscalationAgent",
instructions=ESCALATION_INSTRUCTIONS,
tools=[plugin.get_ticket, plugin.send_notification],