lupe

Introduction

lupe is an open-source, bring-your-own-token AI code review agent that runs on your own model tokens.

lupe (German for magnifying glass) is a platform- and provider-agnostic AI code review agent. It reviews your pull requests β€” or a local diff β€” using your own provider tokens, as an open-source alternative to hosted tools like CodeRabbit, Cursor Bugbot, Greptile, and Macroscope.

There is no SaaS to sign up for and no per-seat pricing: you point lupe at a model you already pay for (Anthropic, OpenAI, Google, Amazon Bedrock, or any OpenAI-compatible gateway) and it does the review on your infrastructure and your budget.

Why lupe

  • Provider-agnostic. One review engine, any model. Switching provider or model is a single config value β€” the engine asks for a task (triage, review, verify, deep), never a hard-coded model id.
  • Bring your own tokens. Your keys, your spend. The only secret a repository needs is your provider API key; GitHub access uses the built-in GITHUB_TOKEN.
  • Two surfaces, one core. A reusable GitHub Action reviews pull requests, and a local CLI reviews diffs from your terminal β€” both call the exact same engine. An embeddable SDK lets you run reviews from your own code.
  • Precision-first. Generation is deliberately high-recall, then a grounding verifier and a filter chain gate what actually gets published β€” the goal is a handful of actionable comments per PR, not noise.

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