Can the OpenAI Agents SDK handle complex multi-agent handoffs without losing state?

All answers to this question.

Handoffs are actually the "killer feature" of the OpenAI Agents SDK. When an agent hands off to another, it isn't just starting a new chat; it passes the entire history of the run. So, when your Editor agent tells the Researcher "hey, we need more data on X," the Researcher gets the full context of what the user originally asked and what the Writer already produced. We use this for a technical documentation pipeline and it handles circular loops—like an Editor sending a piece back for revisions—perfectly. You don't have to manually manage the message array like you do in simpler frameworks; the SDK's internal loop manages the state transitions for you.

   Answered 2025-05-01 by Rachel Foster

Wait, if the history gets too long during these handoffs in the OpenAI Agents SDK, doesn't the context window get crowded? Is there a built-in way to summarize the history so we don't hit token limits?

   Answered 2025-05-10 by Jeffrey Reed

• The SDK doesn't auto-summarize yet, but you can add a "Context Trimming" tool. Before the handoff happens, you can run a quick function that prunes the older messages or summarizes the core findings. It gives you the flexibility to decide what is "essential" context rather than the framework making a guess and potentially losing critical data.

     Commented 2025-05-12 by Kevin Parker

It works exactly like the "Swarm" pattern OpenAI experimented with last year. The OpenAI Agents SDK just makes it production-ready and way more reliable for long-running sessions.

   Answered 2025-05-18 by Melissa Gardner

• Exactly! It takes that experimental concept and gives it the enterprise features we actually need, like better error handling and proper tracing.

     Commented 2025-05-20 by Rachel Foster