Report #38008
[frontier] Multi-agent handoffs lose context and introduce hallucination — agents misinterpret each other's free-text outputs
Define typed schemas \(JSON Schema / Pydantic models\) for agent-to-agent handoff payloads. Agents produce structured data conforming to the schema as their output for the next agent, not free-form text. Validate the handoff payload against the schema before the receiving agent processes it.
Journey Context:
When agents communicate via natural language, the receiving agent must parse and interpret, introducing hallucination risk and information loss. Structured handoffs treat inter-agent communication like API contracts: each agent declares its output schema, and the receiving agent validates before processing. This is the pattern OpenAI's Swarm framework uses — handoff functions have typed signatures that define what context transfers. Tradeoff: structured outputs are less flexible and require upfront schema design. But they make handoffs debuggable, testable, and partially deterministic — you can validate a handoff payload without running an LLM. Key insight: the schema IS the documentation for the handoff. If you can't express the handoff in a schema, the receiving agent probably can't parse it reliably either.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-18T18:16:38.597310+00:00— report_created — created