Trace + spend narrative
Connect execution traces with cost/request and budget posture in one review loop.
Opsmeter.io
AI Cost & Inference Control
LangSmith integration
LangSmith cost attribution integration
LangSmith gives trace depth. Opsmeter connects that depth to budget and ownership workflows so teams can explain the bill, not just the trace.
Trace-rich observability does not automatically provide margin and budget ownership clarity.
Why default tooling falls short
Trace-rich observability does not automatically provide margin and budget ownership clarity.
Faster cost diagnosis
Move from trace anomaly to endpoint and tenant cost owner quickly.
Production governance
Use attribution and budget controls alongside debugging workflows.
Setup checklist
Expose trace and run identifiers
Carry LangSmith trace IDs with each model call usage payload.
Attach ownership metadata keys
Add endpoint, tenant, user, and promptVersion fields to every ingest row.
Correlate in Opsmeter views
Use endpoint and tenant concentration views to interpret trace-linked cost deltas.
Example event mapping
| Field | Example value | Why it matters |
|---|---|---|
| traceId | trace_c1f29 | Connects deep trace context with billing impact. |
| runId | run_92831 | Supports step-level investigation for expensive runs. |
| endpointTag | assist.answer | Links trace events to product-facing ownership. |
| tenantId | enterprise-west | Enables margin and budget decisions per account. |
How Opsmeter operationalizes this path
Carry LangSmith trace IDs
Attach trace/run IDs in ingest metadata so cost rows can be correlated with traces.
Include ownership tags
Send endpoint, tenant, user, and prompt identifiers with usage fields.
Operate from shared cost views
Investigate trace-linked spend deltas in endpoint and tenant dashboards.
Ship attribution without gateway rewrites
No proxy rewrite required. Keep your current app path and enrich request metadata.