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Documentation Index

Fetch the complete documentation index at: https://budecosystem-b7b14df4.mintlify.app/llms.txt

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Dashboard Mental Model

Dashboard is designed for detect → validate → act workflows. It emphasizes quick trend detection first, then links to deeper module-level investigation.

Core Concepts

1) Summary Cards vs. Analytical Charts

  • Summary cards provide compact, high-signal status snapshots.
  • Charts provide comparative context across projects or models.

2) Time Window and Delta Interpretation

Each chart uses fixed windows:
  • Last 24 Hrs
  • Last 7 Days
  • Last 30 Days
Deltas compare the current window against a prior equivalent baseline so teams can quickly assess trend direction.

3) Top-K Ranking

Usage and quality panels focus on top-ranked entities (for example, top 5 models) to keep the view actionable and prevent visual overload.

4) Multi-Dimension Monitoring

Dashboard balances several dimensions simultaneously:
  • Demand (requests, API calls)
  • Performance (latency, throughput)
  • Quality (benchmark accuracy)
  • Cost proxy (token metrics)
  • Operational posture (endpoints, clusters, projects)

Common Interpretation Patterns

Signal patternLikely interpretationTypical next step
Requests up, throughput flatCapacity pressure buildingCheck scaling and cluster health
Latency up, API calls stableEfficiency regressionInspect slow projects and model changes
Usage up, accuracy downQuality drift under loadRe-route or re-evaluate model mix
Output tokens rising sharplyCost profile changeReview prompts and response limits

Data-to-Decision Flow

  1. Identify deviation in one chart.
  2. Cross-check with related charts.
  3. Validate at project/model/deployment level.
  4. Apply operational change.
  5. Re-check dashboard after rollout.

Best Practices

Use one consistent time window across charts during a single review.
Compare at least one demand metric and one quality metric before action.
Treat dashboard as triage; use Observability for root-cause evidence.
Document weekly baselines for team-level incident readiness.