Trace Explorer
Investigate AI executions, cost signals, governance events, and verification history.
Trace Explorer is the operational command layer for AITracer.
It gives teams a searchable view of every AI execution across models, workflows, users, and environments—turning black-box AI activity into something teams can inspect, audit, and troubleshoot.
Teams can:
- search execution records by workflow, model, user, trace ID, or timestamp
- inspect prompts, responses, metadata, and downstream actions
- review token usage, latency performance, and cost attribution
- identify governance policy triggers and risk events
- trace execution lineage across multi-step workflows
- move directly into verification and audit workflows
Trace investigation workflow
Execution Timeline
Review the full lifecycle of an AI request from initiation to completion.
This helps teams understand:
- trace ID
- request timestamps
- workflow IDs
- model providers
- execution duration
- completion status
Prompt and Response Inspection
Inspect what entered the model and what was returned.
This helps teams investigate:
- hallucinations
- malformed prompts
- unexpected outputs
- workflow regressions
Cost Intelligence
Review operational economics tied to each trace.
Track:
- input tokens
- output tokens
- total spend
- model allocation
- latency costs
- cost anomalies
Governance Events
Review policy enforcement activity tied to each execution.
Examples include:
- PII detection
- credential exposure
- policy violations
- risk escalations
Verification Records
Move directly from trace investigation into verification workflows.
Validate:
- SHA-256 integrity hashes
- execution records
- timestamps
- verification artifacts
Operational Benefits
Without trace visibility, teams often struggle to answer basic operational questions:
- Why did this model behave unexpectedly?
- Why did this request cost more than expected?
- Which workflow triggered this issue?
- Was this record modified after execution?
Trace Explorer allows teams to investigate these issues without jumping between fragmented logs, provider dashboards, and disconnected monitoring systems.
It becomes the operational entry point for governance, optimization, verification, and audit workflows.