multi-agent python code

ResponseStreamEventType is not part of azure.ai.projects.models, which is why the import fails. The Python SDK surface for multi-agent and workflow scenarios in the provided context uses:

• AIProjectClient from azure.ai.projects for multi-agent setups.
• Streaming patterns that do not rely on ResponseStreamEventType from azure.ai.projects.models.

To build a multi-agent setup with the current SDK surface, use the Connected Agents pattern instead of trying to import ResponseStreamEventType:

1. Initialize the project client:

    import os
    from azure.ai.projects import AIProjectClient
    from azure.ai.agents.models import ConnectedAgentTool, MessageRole
    from azure.identity import DefaultAzureCredential
    
    project_client = AIProjectClient(
    endpoint=os.environ["PROJECT_ENDPOINT"],
    credential=DefaultAzureCredential(),
    )
   

2. Create specialized agents and connect them via ConnectedAgentTool:

    stock_price_agent = project_client.agents.create_agent(
    model=os.environ["MODEL_DEPLOYMENT_NAME"],
    name="stock_price_bot",
    instructions=(
    "Your job is to get the stock price of a company. "
    "If you don't know the realtime stock price, return the last known stock price."
    ),
    )
    
    connected_agent = ConnectedAgentTool(
    id=stock_price_agent.id,
    name=stock_price_agent.name,
    description="Gets the stock price of a company",
    )
    
    main_agent = project_client.agents.create_agent(
    model=os.environ["MODEL_DEPLOYMENT_NAME"],
    name="my-agent",
    instructions="You are a helpful agent, and use the available tools to get stock prices.",
    tools=connected_agent.definitions,
    )
   

3. Create a thread, add a message, and run the main agent. The main agent orchestrates the connected agents and aggregates their responses.

For workflow-style multi-agent orchestration with streaming, use the Microsoft Agent Framework with FoundryChatClient, FoundryAgent, and workflow builders. Streaming is handled via AgentResponseUpdate events rather than ResponseStreamEventType:

• Create a shared FoundryChatClient.
• Create specialized agents.
• Connect them in a WorkflowBuilder.
• Run the workflow with stream=True and handle AgentResponseUpdate chunks (for example, reading update.text).

This approach avoids importing ResponseStreamEventType entirely and uses the supported streaming and multi-agent patterns in the current SDK and Agent Framework.

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References:

• Build collaborative, multi-agent systems with Connected Agents (classic) (python)
• Agents in Workflows (programming-language-python)
• Microsoft Agent Framework Workflows - Using Workflows as Agents (programming-language-python)
• AutoGen to Microsoft Agent Framework Migration Guide

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