I'm currently working on a complex workflow involving several specialized assistants. I've heard that the is excellent for orchestrating these types of multi-agent systems, but I'm struggling with the logic for seamless handoffs. Does anyone have a clear example of how to transfer control between a general router agent and a technical specialist agent?
3 answers
The OpenAI Agents SDK makes handoffs incredibly straightforward by using the as_tool() method. Essentially, you define your specialized agent, like a technical support assistant with its own specific instructions and model configuration. Then, in your main router agent's tool list, you include the specialized agent by calling specialist_agent.as_tool(). This allows the router to recognize when a query falls outside its general scope and programmatically hand over the conversation. It is a very clean, Pythonic way to handle orchestration without manually managing state transitions or complex loops.
That's a solid explanation, but how do you ensure the context remains consistent during the transition?
I've found that using the "Swarm" pattern within the SDK works best for this. It keeps the logic modular and very easy to debug.
I completely agree! The modularity of the Swarm pattern makes scaling to ten or twenty specialized agents much more manageable than a massive single-agent approach.
The SDK handles this through its built-in session management. When a handoff occurs, the conversation history is preserved, so the specialist agent "sees" the previous interaction. You can also use the context_variables to pass specific metadata—like a user ID or a previous ticket number—directly during the handoff, ensuring the specialist has all the background they need without the user repeating themselves.