Cost Tracking
Monitoring every AI call: model used, tokens in/out, cost, cache status. Essential for profitable operations.
You can't manage what you don't measure. Cost tracking turns AI from an unpredictable expense into a controllable business tool with clear ROI.
Every LLM call logs: model, tokens_in, tokens_out, cost_usd, cached (bool). Our dashboard shows daily/weekly/monthly cost breakdowns. At 100 users, LLM costs are ~$0.35/day vs ~$490 revenue.
Related terms
Budget Controls
Spending limits per agent, workflow, or company that prevent runaway API costs.
Token Budget
A limit on how many tokens an agent may use for a task.
Cache (LLM Cache)
Storing previous AI responses for reuse. Saves costs and speeds up repeated queries.
Audit Trail
An immutable record of all agent actions and decisions, essential for compliance and accountability.