Per developer. Per model. Per session. Real-time spend visibility for engineering teams running Gemini CLI at scale.
Gemini CLI gives your team access to powerful models — but without per-developer cost tracking, spending can spiral. Cohrint shows you exactly where every dollar goes.
See exactly who is spending what on Gemini CLI. Identify heavy users running Gemini 2.5 Pro sessions and catch runaway usage before your bill arrives.
Gemini 2.5 Pro vs Flash vs Nano — know which model each developer is using and the per-token cost difference between them.
Set daily or monthly spend limits per developer or per team. Get a Slack alert when anyone approaches their Gemini CLI budget.
Week-over-week Gemini CLI cost trends. Know whether AI coding spend is growing proportionally with engineering output.
Install Cohrint and Gemini CLI usage is tracked automatically — no changes to your workflow or developer experience required.
Cohrint captures cost metadata only — tokens, model, latency. Your prompts and code never leave your environment.
Run pip install cohrint in your repo. Works with Python 3.8+.
Add COHRINT_API_KEY to your environment. One key per team.
Gemini CLI costs appear in your Cohrint dashboard within seconds — no batching, no delays.
Join engineering teams already using Cohrint to manage their AI coding spend.
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