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Python: Update workflow orchestration samples to use AzureOpenAIResponsesClient (#4285)

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* Update workflow orchestration samples to use AzureOpenAIResponsesClient

* Fix broken link
This commit is contained in:
Evan Mattson
2026-02-26 16:51:25 +09:00
committed by GitHub
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parent cfaa0c6283
commit 8e2cc4bedc
18 changed files with 192 additions and 70 deletions
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python/samples/03-workflows/orchestrations/concurrent_agents.py
+11 -4
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@@ -1,10 +1,11 @@
# Copyright (c) Microsoft. All rights reserved.
import asyncio
import os
from typing import Any
from agent_framework import Message
from agent_framework.azure import AzureOpenAIChatClient
from agent_framework.azure import AzureOpenAIResponsesClient
from agent_framework.orchestrations import ConcurrentBuilder
from azure.identity import AzureCliCredential
from dotenv import load_dotenv
@@ -26,14 +27,20 @@ Demonstrates:
- Workflow completion when idle with no pending work
Prerequisites:
- Azure OpenAI access configured for AzureOpenAIChatClient (use az login + env vars)
- AZURE_AI_PROJECT_ENDPOINT must be your Azure AI Foundry Agent Service (V2) project endpoint.
- Azure OpenAI configured for AzureOpenAIResponsesClient with required environment variables.
- Authentication via azure-identity. Use AzureCliCredential and run az login before executing the sample.
- Familiarity with Workflow events (WorkflowEvent)
"""
async def main() -> None:
# 1) Create three domain agents using AzureOpenAIChatClient
client = AzureOpenAIChatClient(credential=AzureCliCredential())
# 1) Create three domain agents using AzureOpenAIResponsesClient
client = AzureOpenAIResponsesClient(
project_endpoint=os.environ["AZURE_AI_PROJECT_ENDPOINT"],
deployment_name=os.environ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
credential=AzureCliCredential(),
)
researcher = client.as_agent(
instructions=(