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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
Unverified
parent cfaa0c6283
commit 8e2cc4bedc
18 changed files with 192 additions and 70 deletions
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python/samples/03-workflows/declarative/agent_to_function_tool/main.py
+8 -3
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@@ -18,10 +18,11 @@ Run with:
"""
import asyncio
import os
from pathlib import Path
from typing import Any
from agent_framework.azure import AzureOpenAIChatClient
from agent_framework.azure import AzureOpenAIResponsesClient
from agent_framework.declarative import WorkflowFactory
from azure.identity import AzureCliCredential
from pydantic import BaseModel, Field
@@ -196,8 +197,12 @@ def format_order_confirmation(order_data: dict[str, Any], order_calculation: dic
async def main():
"""Run the agent to function tool workflow."""
# Create Azure OpenAI client
chat_client = AzureOpenAIChatClient(credential=AzureCliCredential())
# Create Azure OpenAI Responses client
chat_client = AzureOpenAIResponsesClient(
project_endpoint=os.environ["AZURE_AI_PROJECT_ENDPOINT"],
deployment_name=os.environ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
credential=AzureCliCredential(),
)
# Create the order analysis agent with structured output
order_analysis_agent = chat_client.as_agent(
python/samples/03-workflows/declarative/function_tools/README.md
+6 -2
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@@ -6,7 +6,7 @@ This sample demonstrates an agent with function tools responding to user queries
The workflow showcases:
- **Function Tools**: Agent equipped with tools to query menu data
- **Real Azure OpenAI Agent**: Uses `AzureOpenAIChatClient` to create an agent with tools
- **Real Azure OpenAI Agent**: Uses `AzureOpenAIResponsesClient` to create an agent with tools
- **Agent Registration**: Shows how to register agents with the `WorkflowFactory`
## Tools
@@ -72,7 +72,11 @@ Session Complete
```python
# Create the agent with tools
client = AzureOpenAIChatClient(credential=AzureCliCredential())
client = AzureOpenAIResponsesClient(
project_endpoint=os.environ["AZURE_AI_PROJECT_ENDPOINT"],
deployment_name=os.environ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
credential=AzureCliCredential(),
)
menu_agent = client.as_agent(
name="MenuAgent",
instructions="You are a helpful restaurant menu assistant...",