Ext · Cross-cutting
Cost Tracking
Tracks token usage and estimated costs across 30+ LLM models. Alerts when costs exceed budgets or usage patterns suggest inefficiency.
Examples
- Agent trace consumed $4.50 in API costs, exceeding the $2.00 budget
- Agent using expensive model for tasks that a cheaper model could handle
- Total token usage for a simple task exceeds 100K tokens
- Cost trending upward across sequential agent steps
Detection methods
- Per-Model Pricing
- Tracks costs for 30+ models across 8 providers
- Budget Comparison
- Alerts when trace costs exceed configured thresholds
- Model Resolution
- Maps model version strings to canonical pricing entries
- I/O Separation
- Distinguishes input and output token costs
Detect this in production with the framework adapters (LangGraph, CrewAI, AutoGen, OpenAI Agents SDK, Claude Agent SDK, n8n, Dify). See the full taxonomy at /taxonomy.