Cofferwise · LLM FinOps for AI startups

Wise choices for your AI spend.

Per-feature, per-user, per-prompt cost attribution across OpenAI and Anthropic. Slack alerts on anomalies. Five-minute setup.

Open dashboard How it works →

The integration

A one-line wrapper. Five minutes.

Drop in coffer.openai.OpenAI instead of openai.OpenAI. Tag each call with feature and user. We never sit in your critical path — uploads run in a background thread, silent on failure.

from coffer.openai import OpenAI

client = OpenAI(
  api_key="sk-...",
  coffer_api_key="cof_...",
  default_metadata={"feature": "chatbot"},
)

response = client.chat.completions.create(
  model="gpt-4o-mini",
  messages=[{"role": "user", "content": "hi"}],
  _coffer={"user_id": user.id},
)

Across providers

OpenAI today. Anthropic and Bedrock next. One dashboard for every model your app touches.

Attribution, not just totals

Per feature, per user, per prompt template. Spot the free user burning your budget.

Advisory, not autonomous

We tell you which prompts to switch to Haiku. We never re-route your traffic without you.