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Handoff

A handoff is the transfer of work, responsibility, or relevant information from one person, agent, team, or process to another.

How 2 Manning books explain it

Effective Conversational AI

Escalation is the transfer of a chatbot interaction to a human agent or other additional handling when the bot cannot complete the request or the user requests assistance.

How it is used
Routes requests needing human assistance while preserving progress made with the chatbot.
How deep it goes
Explains when to retry, offer another path, or transfer, and why a targeted summary improves handoff; does not detail transfer implementation.
Examples
Uses a claim-status dialogue ending in an agent request, an outage requiring manual processing, and a lookup with an alternative route.
What you can do after
Practice/perform handoffs that avoid needless repetition, and diagnose escalations by conversation outcome and last step.

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AI Agents in Action, Second Edition

A handoff pattern is a multi-agent design in which control of a task transfers from one agent to another without a separately coded transition.

How it is used
Transfers control between specialized agents in an agentic flow without coding each transition.
How deep it goes
Works through instructional routing and handoff connections, then adds graph visualization and typed callback monitoring.
Examples
Uses a research-to-planning-to-filesystem flow, a graph visualization, and a callback that logs transferred research sources.
What you can do after
Apply it via OpenAI Agents SDK handoffs, then inspect routing with draw_graph and Dashboard Traces.

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Related concepts

These guides are generated from the text of Manning books by Manning's knowledge graph and link to the sections they draw on. The full books are available on liveBook and at manning.com.