Agent Handoff Testing: Failure Modes and Test Cases

Agent handoff testing examines whether essential information, conversation history, and task ownership survive when control moves between specialized agents, addressing failures that can occur even when routing and both agents’ individual behavior are correct. Unlike routing, which selects an agent before work begins, handoffs occur mid-conversation and must transfer structured payloads and appropriate message history; defaults differ across frameworks such as the OpenAI Agents SDK and LangChain. Reported multi-agent failure modes include task derailment, lost history, conversation resets, ignored transferred input, and withheld information, which may produce fluent but unhelpful responses such as asking users to repeat known details. The recommended approach is trace-first testing, recording each transfer and asserting payload completeness, valid tool-call history, a limited number of hops, no repeated questions, and a defined terminal outcome. These deterministic checks can run in CI after changes to prompts, schemas, tools, or models, while model-graded evaluation can assess qualitative issues such as context awareness and handoff quality that trace assertions alone cannot detect.

No tracked trend matches for this post yet.

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.