Incident Response — Agentic MTTR Demo

INC17837946945343

P3newai_assistedred-team eval fixture

Vague monitor alert with minimal context

Pipeline Status
Context Assembly
Diagnose Agent
Severity / Routing Agent
Scenario Match
Remediate Agent
Confidence Gate
Gate Decision
Execute Action
Verify Agent
Resolution
Assembled Context — bounded to last 30 minutes
Rolling logs
Recent commits
(none in lookback window)
Similar past incidents
(none found)
Diagnosis Agent
ran in parallel
Insufficient data to determine a specific root cause; the alert provides only a generic "anomaly detected" message with no additional context.
  • [monitor] anomaly detected
  • [monitor] anomaly detected
Assessed: P4 / application
Self-reported confidence: 30% (audit-only — not used by the gate)
openai/gpt-oss-120b · 1230ms
Severity / Routing Agent
ran in parallel
P4 / application
Routed to: sre-oncall
The incident provides insufficient data to classify as a real production issue. Given the lack of context, metrics, or logs, it is assigned as P4 for investigation by the SRE team to determine if this is a false positive or a silent failure.
Self-reported confidence: 20% (audit-only — not used by the gate)
gemini-flash-lite-latest · 917ms
Scenario Matcher
deterministic, pre-LLM
Disk pressure on stateful workload
Disk pressure from an oversized local cache is relieved by clearing the cache layer before considering a scale-up.
Match score: 60% · Recommended action: clear_cache
Remediate Agent
grounded by runbook match, pre-gate
Proposed action: notify_oncall
team: sre-oncall · reason: Vague monitor alert with minimal context; cannot apply clear_cache confidently. · message: Insufficient data to determine root cause; notifying on-call for investigation. · justification: Escalate to on-call to gather more information before taking remediation.
The matched runbook suggests clearing cache for disk pressure, but the diagnosis indicates there is insufficient data to confirm disk pressure or any specific issue. Acting on an unverified hypothesis could be harmful, so the appropriate response is to notify the on-call team to obtain more context before any remediation.
openai/gpt-oss-120b · 1813ms
Confidence Gate

Computed from 4 measurable signals — not the model's self-reported confidence.

Severity match rate100%
x
Runbook coverage60%
x
Data completeness33%
x
Recency50%
x
Computed confidence (v1)69%
Auto-execute threshold: 75%
Verify Agent
runs after execution
Pending…