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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>
This commit is contained in:
Eduard van Valkenburg
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GitHub
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GitHub
parent
4b533608b6
commit
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@@ -12,7 +12,7 @@ from agent_framework import (
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WorkflowRunState,
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tool,
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)
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from agent_framework.azure import AzureOpenAIResponsesClient
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from agent_framework.foundry import FoundryChatClient
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from agent_framework.orchestrations import HandoffAgentUserRequest, HandoffBuilder
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from azure.identity import AzureCliCredential
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from dotenv import load_dotenv
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@@ -26,8 +26,8 @@ A handoff workflow defines a pattern that assembles agents in a mesh topology, a
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them to transfer control to each other based on the conversation context.
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Prerequisites:
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- AZURE_AI_PROJECT_ENDPOINT must be your Azure AI Foundry Agent Service (V2) project endpoint.
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- Azure OpenAI configured for AzureOpenAIResponsesClient with required environment variables.
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- FOUNDRY_PROJECT_ENDPOINT must be your Azure AI Foundry Agent Service (V2) project endpoint.
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- Azure OpenAI configured for FoundryChatClient with required environment variables.
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- Authentication via azure-identity. Use AzureCliCredential and run `az login` before executing the sample.
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Key Concepts:
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@@ -60,17 +60,18 @@ def process_return(order_number: Annotated[str, "Order number to process return
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return f"Return initiated successfully for order {order_number}. You will receive return instructions via email."
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def create_agents(client: AzureOpenAIResponsesClient) -> tuple[Agent, Agent, Agent, Agent]:
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def create_agents(client: FoundryChatClient) -> tuple[Agent, Agent, Agent, Agent]:
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"""Create and configure the triage and specialist agents.
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Args:
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client: The AzureOpenAIResponsesClient to use for creating agents.
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client: The FoundryChatClient to use for creating agents.
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Returns:
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Tuple of (triage_agent, refund_agent, order_agent, return_agent)
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"""
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# Triage agent: Acts as the frontline dispatcher
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triage_agent = client.as_agent(
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triage_agent = Agent(
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client=client,
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instructions=(
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"You are frontline support triage. Route customer issues to the appropriate specialist agents "
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"based on the problem described."
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@@ -79,7 +80,8 @@ def create_agents(client: AzureOpenAIResponsesClient) -> tuple[Agent, Agent, Age
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)
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# Refund specialist: Handles refund requests
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refund_agent = client.as_agent(
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refund_agent = Agent(
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client=client,
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instructions="You process refund requests.",
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name="refund_agent",
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# In a real application, an agent can have multiple tools; here we keep it simple
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@@ -87,7 +89,8 @@ def create_agents(client: AzureOpenAIResponsesClient) -> tuple[Agent, Agent, Age
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)
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# Order/shipping specialist: Resolves delivery issues
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order_agent = client.as_agent(
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order_agent = Agent(
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client=client,
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instructions="You handle order and shipping inquiries.",
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name="order_agent",
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# In a real application, an agent can have multiple tools; here we keep it simple
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@@ -95,7 +98,8 @@ def create_agents(client: AzureOpenAIResponsesClient) -> tuple[Agent, Agent, Age
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)
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# Return specialist: Handles return requests
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return_agent = client.as_agent(
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return_agent = Agent(
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client=client,
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instructions="You manage product return requests.",
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name="return_agent",
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# In a real application, an agent can have multiple tools; here we keep it simple
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@@ -195,9 +199,9 @@ async def main() -> None:
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replace the scripted_responses with actual user input collection.
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"""
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# Initialize the Azure OpenAI Responses client
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client = AzureOpenAIResponsesClient(
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project_endpoint=os.environ["AZURE_AI_PROJECT_ENDPOINT"],
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deployment_name=os.environ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
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client = FoundryChatClient(
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project_endpoint=os.environ["FOUNDRY_PROJECT_ENDPOINT"],
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model=os.environ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
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credential=AzureCliCredential(),
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)
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