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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
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commit
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@@ -5,6 +5,7 @@ import os
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from dataclasses import dataclass
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from agent_framework import (
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Agent,
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AgentExecutor, # Wraps a ChatAgent as an Executor for use in workflows
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AgentExecutorRequest, # The message bundle sent to an AgentExecutor
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AgentExecutorResponse, # The structured result returned by an AgentExecutor
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@@ -15,7 +16,7 @@ from agent_framework import (
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WorkflowContext, # Per run context and event bus
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handler, # Decorator to mark an Executor method as invokable
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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 azure.identity import AzureCliCredential # Uses your az CLI login for credentials
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from dotenv import load_dotenv
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from typing_extensions import Never
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@@ -35,9 +36,9 @@ Show how to construct a parallel branch pattern in workflows. Demonstrate:
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- Fan in by collecting a list of AgentExecutorResponse objects and reducing them to a single result.
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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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- FOUNDRY_PROJECT_ENDPOINT must be your Azure AI Foundry Agent Service (V2) project endpoint.
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- Familiarity with WorkflowBuilder, executors, edges, events, and streaming runs.
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- Azure OpenAI access configured for AzureOpenAIResponsesClient. Log in with Azure CLI and set any required environment variables.
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- Azure OpenAI access configured for FoundryChatClient. Log in with Azure CLI and set any required environment variables.
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- Comfort reading AgentExecutorResponse.agent_response.text for assistant output aggregation.
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"""
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@@ -114,11 +115,12 @@ async def main() -> None:
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aggregator = AggregateInsights(id="aggregator")
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researcher = AgentExecutor(
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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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credential=AzureCliCredential(),
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).as_agent(
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Agent(
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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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instructions=(
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"You're an expert market and product researcher. Given a prompt, provide concise, factual insights,"
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" opportunities, and risks."
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@@ -127,11 +129,12 @@ async def main() -> None:
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)
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)
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marketer = AgentExecutor(
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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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credential=AzureCliCredential(),
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).as_agent(
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Agent(
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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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instructions=(
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"You're a creative marketing strategist. Craft compelling value propositions and target messaging"
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" aligned to the prompt."
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@@ -140,11 +143,12 @@ async def main() -> None:
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)
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)
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legal = AgentExecutor(
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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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credential=AzureCliCredential(),
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).as_agent(
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Agent(
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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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instructions=(
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"You're a cautious legal/compliance reviewer. Highlight constraints, disclaimers, and policy concerns"
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" based on the prompt."
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