Trace Failure Classifier

Classify failed trace events into root-cause buckets and output deterministic remediation guidance for agent incident triage

{
  "traceId": "trace-2026-03-03-001",
  "summary": {
    "totalEvents": 4,
    "failedEvents": 2,
    "primaryCause": "rate_limit",
    "healthy": false,
    "avgLatencyMs": 878
  },
  "counts": {
    "rate_limit": 1,
    "timeout": 1,
    "schema_mismatch": 0,
    "auth": 0,
    "policy_block": 0,
    "tool_unavailable": 0,
    "context_overflow": 0,
    "unknown": 0
  },
  "failedEvents": [
    {
      "step": "tool_lookup",
      "type": "tool",
      "status": "error",
      "latencyMs": 920,
      "errorCode": "429",
      "message": "rate limit exceeded",
      "classification": "rate_limit",
      "remediation": "Add jittered retry and reduce burst concurrency."
    },
    {
      "step": "tool_execute",
      "type": "tool",
      "status": "error",
      "latencyMs": 1800,
      "errorCode": "TIMEOUT",
      "message": "upstream timed out",
      "classification": "timeout",
      "remediation": "Lower payload size and enforce per-step timeout budgets."
    }
  ],
  "nextActions": [
    "Add jittered retry and reduce burst concurrency.",
    "Replay the failing event sequence with deterministic fixtures.",
    "Block promotion until failure class counts return to zero."
  ]
}

Pair withAgent Trace Viewerto inspect timeline context before applying remediation actions.

Updated October 2, 2026. Provided as is. Check the output before you rely on it in production.

How to use Trace Failure Classifier

1

Paste structured trace events

Provide traceId and event list including step name, status, latency, error code, and message for each failed or successful step.
2

Run deterministic classification

The classifier maps each failed event into root-cause buckets such as rate_limit, timeout, schema_mismatch, auth, or policy_block.
3

Review failure distribution

Inspect per-class counts, failed event details, and the primary cause to prioritize the first remediation action.
4

Apply suggested remediations

Use generated next actions to implement retries, payload trims, policy updates, or endpoint failover based on failure class.
5

Replay and confirm recovery

Replay the same event sequence after fixes and verify that failed-event count returns to zero before rollout resumes.

Questions and answers

Which failure classes are supported?

The classifier supports rate_limit, timeout, schema_mismatch, auth, policy_block, tool_unavailable, context_overflow, and unknown buckets.

How does classification work?

It uses deterministic pattern matching on error codes and messages from trace events, then maps each failure to a remediation action.

Can this replace full observability platforms?

No. It is a quick first pass over a pasted trace that names the likely failure class before you open a full observability platform.

What if my trace has no failures?

The tool returns a healthy status with zero failed events and a monitoring recommendation instead of remediation tasks.

Is trace data sent to a backend?

No. Classification runs fully in the browser, so trace payloads remain local during analysis.

For AI agents: how to call this tool

Machine-readable contract, endpoints and examples. Humans can ignore this section.

Best Path For Builders

Browser workflow

Runs instantly in the browser with private local processing and copy/export-ready output.

Browser Workflow

This tool is optimized for instant in-browser execution with local data handling. Run it here and copy/export the output directly.

/trace-failure-classifier/

For automation planning, fetch the canonical contract at /api/tool/trace-failure-classifier.json.

Trace Failure Classifier