Incident Response for AI Agents
Move from alert to root cause fast: trace-level investigation, multi-channel routing, and correlation that reduces MTTR when agents misbehave in production.
Root Cause Analysis
Jump from a symptom to the exact span—failed tool, slow LLM, bad retrieval—without replaying production traffic by hand.
Alert Routing
Deliver incidents to Slack, Teams, Telegram, email, or webhooks with context. The right severity reaches the right on-call surface.
Incident Correlation
See when multiple alerts stem from one deployment, dependency, or prompt change. Fix the underlying issue instead of chasing duplicates.
Trace-Level Investigation Built for Agents
Agents fail in layers—models, tools, policies, and data. Keep the full execution story one click away from every incident.
- Open any alert directly into the trace and failing span
- Compare this run to healthy baselines from the same workflow
- Capture prompts, outputs, and tool arguments for regulated review
Multi-Channel Alerts: Slack, Teams, Email, Webhook
Meet responders where they work. Rich notifications include deep links, severity, and enough context to triage without logging into five systems.
- Native integrations for Slack, Microsoft Teams, and Telegram
- Email summaries for stakeholders who are not in chat
- Webhooks for custom ticketing, SOAR playbooks, or internal bots
Incident Correlation and Escalation
Turn a flood of signals into a coherent incident narrative. Escalate when humans do not acknowledge, and surface cross-run patterns automatically.
- Group related alerts by workflow, version, and time proximity
- Escalation policies route unresolved incidents to additional channels
- Incident history ties back to configuration and deploy markers
