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.