Overview
AI Token Tracker
AI Token Tracker helps you monitor and understand LLM usage and cost across providers in one place.
If your team uses OpenAI, Anthropic, Gemini, or multiple providers through different SDKs, AI Token Tracker gives you one dashboard for:
Coverage
- Token usage
- Request volume
- Success/error rates
- Cost by project, workflow, and custom metadata
What It Is
AI Token Tracker includes:
- SDKs that capture LLM call metadata
- An internal ingestion pipeline that normalizes usage events
- A dashboard for querying and analyzing usage and cost
How It Works (High Level)
Only data needed for cost tracking and analytics is stored.
- Your app makes an LLM call.
- AI Token Tracker SDK captures request/response metadata.
- SDK sends an ingest event to AI Token Tracker.
- AI Token Tracker parses usage and calculates cost.
- Event is stored and shown in dashboard.
Documentation Map
- Getting Started: First tracked event and core setup flow for all SDKs
- .NET SDK Integration
- JavaScript/TypeScript Integration
- Java Integration
- Python Integration
- Custom Filtering: Per-request metadata and filter naming guidance
- Dashboard Guide: Usage/cost views, filtering, drill-down, and event investigation
- Troubleshooting: Missing events, cost/metadata gaps, and integration debugging
- FAQ: Common setup and behavior questions
Why Teams Use It
- Unified visibility across providers
- Cost accountability by project and workflow
- Low-friction integration
- Extensible as your AI stack grows
Next Step
Go to Getting Started and send your first tracked event in a few minutes.