1. Executive Summary
Today's health across the entire AI ecosystem
2. AI Cost Breakdown
Every dollar of AI spend, broken down by category
Total AI Cost (Today)
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3. LLM Provider Breakdown
One row per provider / model
| Provider | Model | Input Tok | Output Tok | Cached Tok | Requests | Avg Prompt Len | Avg Resp Len | Avg Cost/Req | Total Cost | Avg Latency | Error Rate | Retries | Budget Alloc | Remaining Budget |
|---|
4. Embedding Models
Every embedding model in use across the company
| Model | Docs Embedded | Total Embeddings | Tokens Processed | Avg Chunk Size | Storage Consumed | Embedding Cost | Queries Served | Monthly Cost |
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5. Vector Database
Storage, performance, cost & lineage per vector DB — click a card for collection detail
6. Cloud Infrastructure
AWS · Azure · GCP resource allocation & cost
| Provider | Resource | Allocated | Used | Remaining | Current Cost | Monthly Cost | Forecast |
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7. Database Monitoring
Postgres · MongoDB · Redis · Elastic
| Database | Allocated Storage | Used Storage | Connections | Read Ops | Write Ops | Queries | Latency | Backup Size | Backup Cost | Growth | Monthly Cost |
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8. API Consumption
External APIs & integrations
| API | Calls | Success | Failures | Latency | Cost | Retries | Rate Limits |
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9. AI Agent Summary
10. Employee Consumption
Company-wide employee token & budget usage
Top Consumers
| Employee | Dept | Consumed Budget | Consumed Tokens |
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Least Consumers
| Employee | Dept | Consumed Budget | Consumed Tokens |
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11. Department Summary
12. Alerts
13. Forecast
Predictive AI cost & resource trajectory