Streaming enables agents to return outputs immediately, significantly improving user experience. Instead of waiting for the entire response to be generated, the user can see the response being generated in real-time.

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Streaming Responses

In v1.x, streaming is handled through the get_response_stream method. The framework returns StreamEvent objects as they are returned by OpenAI, providing direct access to the underlying streaming events.
async def stream_response(message: str):
    """Stream a response and handle events properly."""
    full_text = ""

    async for event in agency.get_response_stream(message):
        # Handle streaming events with data
        if hasattr(event, "data"):
            data = event.data

            # Only capture actual response text, not tool call arguments
            if hasattr(data, "delta") and hasattr(data, "type"):
                if data.type == "response.output_text.delta":
                    # Stream the actual response text in real-time
                    delta_text = data.delta
                    if delta_text:
                        print(delta_text, end="", flush=True)
                        full_text += delta_text
                # Skip tool call deltas (we don't want to show those to users)
                elif data.type == "response.function_call_arguments.delta":
                    continue

        # Handle validation errors
        elif isinstance(event, dict):
            event_type = event.get("event", event.get("type"))
            if event_type == "error":
                print(f"\n❌ Error: {event.get('content', event.get('data', 'Unknown error'))}")
                break

    print("\n✅ Stream complete")
    return full_text

# Usage
await stream_response("I want you to build me a website")