LLMOps Dashboard Standard
Version: 1.1.0 Last updated: 2026-07-16 Status: Informative OAIES implementation profile
Purpose
Provide role-specific operational, quality, cost, and governance views.
Why
A single crowded dashboard obscures action and ownership.
When
Use for on-call, product, platform, and risk reviews.
How
- Create an on-call view for SLOs, errors, latency, provider health, and active releases.
- Create quality and safety views with sample size and confidence.
- Create FinOps views by tenant, route, and unit outcome.
- Annotate deployments, model changes, and incidents.
- Link every panel to definition, owner, and drill-down trace.
Evidence contract
The decision record is the dashboard-as-code release. It records panel query; metric version; owner; audience; refresh; threshold; trace drill-down; access policy. The observability experience owner owns completeness; the evidence is invalid when a panel has no definition or mixes incompatible releases. Persist schema, instrumentation, collector, query, dashboard, and alert revisions so operational conclusions remain reproducible.
Failure response and recovery
Trigger: a decision panel is stale or its query fails validation.
Immediate response: mark the view invalid, route responders to source queries, and roll back dashboard revision. Preserve the dashboard-as-code release, affected trace IDs, timestamps, and decision logs before mutation. Open an incident when users, data, money, authorization, or a release decision may have been affected; closure requires a regression case and verified control change specific to llmops dashboard standard.
Decision authority
The observability experience owner accepts the operational decision. The on-call lead provides independent challenge for high-risk scope, failed gates, or exceptions. Telemetry can trigger declared alerts or rollback; service and incident owners judge impact, restoration, and invalid measurement windows.
Tradeoffs
| Choice | Benefit | Cost |
|---|---|---|
| Role views | Actionable | More maintenance |
Anti-patterns
- Unlabeled averages.
- Displaying raw sensitive content.
Enterprise considerations
- Apply least-privilege access.
- Retain snapshots for high-risk release evidence.
Framework relationship
LLMOps Dashboard Standard defines informative diagnosability evidence. Sampling and mutable operational telemetry do not replace required action or records-management logs.
| Source | Relationship for LLMOps Dashboard Standard | Boundary |
|---|---|---|
| NIST AI RMF | MEASURE 3.1 | Evaluate monitoring coverage against known failure modes and sampling limitations. |
| ISO/IEC 42001 | 42001 clause 9.1 | Performance-evaluation evidence remains subject to data quality, access, retention, and internal-audit scope. |
| Domain threat/control source | Exposure-aware operational reporting | Test only the threats applicable to the documented system and release |
Checklist
- Deployments annotated.
- No orphan panels.
- Drill-down verified.
References
- OpenTelemetry, GenAI semantic conventions repository (accessed 2026-07-16); dashboard queries pin the adopted attribute contract.
- Grafana, Dashboard best practices (accessed 2026-07-16).
Changelog
| Version | Date | Change |
|---|---|---|
| 1.1.0 | 2026-07-16 | Replaced generic assurance text with the dashboard-as-code release, failure trigger, accountable decision, and scoped framework relationships for llmops dashboard standard. |
| 1.0.0 | 2026-07-16 | Initial complete profile. |