Know Exactly What Every Agent in Your Fleet Costs

Token-level cost tracking attributed to individual agents, tasks, and workflows — not just raw API calls. Fluq supports OpenAI, Anthropic, Google, Mistral, Cohere, and self-hosted models. Costs are normalized across providers so you can compare apples to apples.

Slice your spend by agent, crew or team, task type, model, or time period. Understand not just how much you're spending, but where every dollar goes and which agents deliver the most value per token.

Set per-agent and fleet-wide cost ceilings. When thresholds breach, Fluq alerts you — or kills the agent — immediately. Cost anomaly detection flags agents that suddenly 10x their token usage, so you catch problems in minutes, not when the invoice arrives.

Daily and weekly spend digests keep you informed of your burn rate. Know exactly where you stand before finance asks. Set budgets per team, per project, or per agent class and track actuals against targets in real time.

Compare model costs per task: is GPT-4o worth 8x Claude Haiku for your summarization agent? Identify retry loops, redundant tool calls, and verbose prompts that silently inflate costs. Export cost data to existing FinOps tools via API or CSV for cross-functional reporting.

pip install fluq-sdk
from fluq import Fluq
fluq = Fluq(); fluq.track("agent.llm.call", {"agent": "writer", "model": "gpt-4o", "tokens": 3200, "cost_usd": 0.048})