Agent Handoff Integrity Check (Delivery)
A checklist with 7 steps: Map the full agent chain end-to-end before any client data enters the pipeline.
By InnovaAI ResearchPublished
What are the steps?
Agent Handoff Integrity Check (Delivery)
- 01
Map the full agent chain end-to-end before any client data enters the pipeline.
Document each agent's role, input schema, output schema, and the trigger condition that passes control to the next agent. Use a shared diagram or configuration file so the chain is auditable.
- 02
Verify each agent's authentication and data-access scope matches the client's security requirements.
For platforms like StackAI that support multi-tenant deployments, confirm that agents in regulated workflows read only the client's designated data stores and cannot cross tenant boundaries.
- 03
Insert a validation gate after every agent that produces a client-facing output.
A validation gate can be a human review step, a schema check, or a call to a separate verification agent. Without these gates, a single hallucinated fact propagates through the entire chain.
- 04
Define fallback logic for each agent failure mode and test it with simulated errors.
Common failure modes include API timeouts, malformed input, and low-confidence outputs. For each, specify whether the chain retries, skips, or halts and alerts an operator.
- 05
Instrument every handoff with a unique trace ID and log the full payload.
Trace IDs let operators replay a failed chain step-by-step. Logs should capture input, output, latency, and token cost per agent so you can audit and optimize later.
- 06
Run a dry-run of the entire chain using synthetic client data before any live delivery.
Use a representative sample that covers edge cases: missing fields, unusually long text, and known ambiguous queries. Confirm that the chain completes within the client's expected SLA.
- 07
Document the chain's expected latency and cost per run, and set monitoring alerts for deviations.
If a single agent's response time doubles or token usage spikes 20% above baseline, the monitoring system should notify the delivery lead before the client notices a delay.