Incident Response Playbooks for Model Failures
Incident response for AI systems is different because failures can be “soft.” The system may still respond, but with lower quality, higher refusals, wrong citations, or unsafe tool behavior. A good playbook focuses on containment first, then diagnosis, then recovery, with predefined rollback and degrade paths.
Incident Taxonomy
| Incident Type | Symptoms | First Containment Move | |—|—|—| | Quality regression | success rate down, more rework | rollback to last-known-good version | | Latency spike | p95/p99 rising | route to faster model or reduce context | | Cost blowup | tokens up, cache down | tighten budgets and increase caching | | Tool degradation | timeouts, errors | disable tool path and fall back | | Safety pressure | policy hits up | tighten guardrails and add review |
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The First 10 Minutes
- Confirm scope: which workflow, which cohorts, which regions.
- Identify recent changes: model, prompt, policy, index, router, tools.
- Activate a containment move: rollback, disable tool, degrade mode.
- Communicate status: what users will experience and what is being done.
Diagnosis
- Compare canary vs baseline traces and evaluator results.
- Inspect retrieval: similarity scores, source churn, permission filtering.
- Inspect tool chain: timeout rates, schema validity, retries.
- Inspect output validation: schema failures, refusal codes, citation coverage.
Recovery and Prevention
- Ship a fix via canary and measure outcome improvement.
- Update regression tests with the incident reproducer.
- Write a post-incident review focused on system changes.
Practical Checklist
- Maintain a last-known-good route that can be activated instantly.
- Log every release artifact and tie it to version IDs.
- Keep dashboards that join latency, cost, quality, and safety signals.
- Run incident drills that intentionally break retrieval and tools.
Related Reading
Navigation
- AI Topics
- AI Topics Index
- Glossary
- Infrastructure Shift Briefs
- Capability Reports
- Tool Stack Spotlights
Nearby Topics
- Monitoring: Latency, Cost, Quality, Safety Metrics
- Rollbacks, Kill Switches, and Feature Flags
- SLO-Aware Routing and Degradation Strategies
- End-to-End Monitoring for Retrieval and Tools
- Root Cause Analysis for Quality Regressions
Implementation Notes
Operational reliability comes from explicit constraints that survive real traffic: strict tool schemas, timeouts, permission checks, and observable routing decisions. When an agent fails, you need to know whether it failed because of evidence, execution, policy, or UI. That is why these systems must log reason codes and version metadata for every decision.
| Constraint | Why It Matters | Where to Enforce | |—|—|—| | Budgets | prevents runaway loops and spend | router + executor | | Timeouts | prevents hung tools | tool gateway + orchestration | | Permissions | prevents unsafe actions | policy + sandbox | | Validation | prevents malformed outputs | post-processing + schemas | | Audit logs | supports incident response | gateway + state mutations |
Implementation Notes
Operational reliability comes from explicit constraints that survive real traffic: strict tool schemas, timeouts, permission checks, and observable routing decisions. When an agent fails, you need to know whether it failed because of evidence, execution, policy, or UI. That is why these systems must log reason codes and version metadata for every decision.
| Constraint | Why It Matters | Where to Enforce | |—|—|—| | Budgets | prevents runaway loops and spend | router + executor | | Timeouts | prevents hung tools | tool gateway + orchestration | | Permissions | prevents unsafe actions | policy + sandbox | | Validation | prevents malformed outputs | post-processing + schemas | | Audit logs | supports incident response | gateway + state mutations |
Implementation Notes
Operational reliability comes from explicit constraints that survive real traffic: strict tool schemas, timeouts, permission checks, and observable routing decisions. When an agent fails, you need to know whether it failed because of evidence, execution, policy, or UI. That is why these systems must log reason codes and version metadata for every decision.
| Constraint | Why It Matters | Where to Enforce | |—|—|—| | Budgets | prevents runaway loops and spend | router + executor | | Timeouts | prevents hung tools | tool gateway + orchestration | | Permissions | prevents unsafe actions | policy + sandbox | | Validation | prevents malformed outputs | post-processing + schemas | | Audit logs | supports incident response | gateway + state mutations |
Implementation Notes
Operational reliability comes from explicit constraints that survive real traffic: strict tool schemas, timeouts, permission checks, and observable routing decisions. When an agent fails, you need to know whether it failed because of evidence, execution, policy, or UI. That is why these systems must log reason codes and version metadata for every decision.
| Constraint | Why It Matters | Where to Enforce | |—|—|—| | Budgets | prevents runaway loops and spend | router + executor | | Timeouts | prevents hung tools | tool gateway + orchestration | | Permissions | prevents unsafe actions | policy + sandbox | | Validation | prevents malformed outputs | post-processing + schemas | | Audit logs | supports incident response | gateway + state mutations |
Implementation Notes
Operational reliability comes from explicit constraints that survive real traffic: strict tool schemas, timeouts, permission checks, and observable routing decisions. When an agent fails, you need to know whether it failed because of evidence, execution, policy, or UI. That is why these systems must log reason codes and version metadata for every decision.
| Constraint | Why It Matters | Where to Enforce | |—|—|—| | Budgets | prevents runaway loops and spend | router + executor | | Timeouts | prevents hung tools | tool gateway + orchestration | | Permissions | prevents unsafe actions | policy + sandbox | | Validation | prevents malformed outputs | post-processing + schemas | | Audit logs | supports incident response | gateway + state mutations |
Implementation Notes
Operational reliability comes from explicit constraints that survive real traffic: strict tool schemas, timeouts, permission checks, and observable routing decisions. When an agent fails, you need to know whether it failed because of evidence, execution, policy, or UI. That is why these systems must log reason codes and version metadata for every decision.
| Constraint | Why It Matters | Where to Enforce | |—|—|—| | Budgets | prevents runaway loops and spend | router + executor | | Timeouts | prevents hung tools | tool gateway + orchestration | | Permissions | prevents unsafe actions | policy + sandbox | | Validation | prevents malformed outputs | post-processing + schemas | | Audit logs | supports incident response | gateway + state mutations |
Implementation Notes
Operational reliability comes from explicit constraints that survive real traffic: strict tool schemas, timeouts, permission checks, and observable routing decisions. When an agent fails, you need to know whether it failed because of evidence, execution, policy, or UI. That is why these systems must log reason codes and version metadata for every decision.
| Constraint | Why It Matters | Where to Enforce | |—|—|—| | Budgets | prevents runaway loops and spend | router + executor | | Timeouts | prevents hung tools | tool gateway + orchestration | | Permissions | prevents unsafe actions | policy + sandbox | | Validation | prevents malformed outputs | post-processing + schemas | | Audit logs | supports incident response | gateway + state mutations |
Implementation Notes
Operational reliability comes from explicit constraints that survive real traffic: strict tool schemas, timeouts, permission checks, and observable routing decisions. When an agent fails, you need to know whether it failed because of evidence, execution, policy, or UI. That is why these systems must log reason codes and version metadata for every decision.
| Constraint | Why It Matters | Where to Enforce | |—|—|—| | Budgets | prevents runaway loops and spend | router + executor | | Timeouts | prevents hung tools | tool gateway + orchestration | | Permissions | prevents unsafe actions | policy + sandbox | | Validation | prevents malformed outputs | post-processing + schemas | | Audit logs | supports incident response | gateway + state mutations |
Implementation Notes
Operational reliability comes from explicit constraints that survive real traffic: strict tool schemas, timeouts, permission checks, and observable routing decisions. When an agent fails, you need to know whether it failed because of evidence, execution, policy, or UI. That is why these systems must log reason codes and version metadata for every decision.
| Constraint | Why It Matters | Where to Enforce | |—|—|—| | Budgets | prevents runaway loops and spend | router + executor | | Timeouts | prevents hung tools | tool gateway + orchestration | | Permissions | prevents unsafe actions | policy + sandbox | | Validation | prevents malformed outputs | post-processing + schemas | | Audit logs | supports incident response | gateway + state mutations |
Implementation Notes
Operational reliability comes from explicit constraints that survive real traffic: strict tool schemas, timeouts, permission checks, and observable routing decisions. When an agent fails, you need to know whether it failed because of evidence, execution, policy, or UI. That is why these systems must log reason codes and version metadata for every decision.
| Constraint | Why It Matters | Where to Enforce | |—|—|—| | Budgets | prevents runaway loops and spend | router + executor | | Timeouts | prevents hung tools | tool gateway + orchestration | | Permissions | prevents unsafe actions | policy + sandbox | | Validation | prevents malformed outputs | post-processing + schemas | | Audit logs | supports incident response | gateway + state mutations |
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