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OpenRouter releases a Python script for AI code reviews using sandboxes

Build an AI code reviewer that uses OpenRouter server tools to run changed files in a Linux sandbox and return verified findings.

OpenRouter releases a Python script for AI code reviews using sandboxes — image from OpenRouter
Image: OpenRouter

Summary

OpenRouter released a 233-line Python script that runs an AI code reviewer using the Responses API and server tools. The script uploads changed files and context files to a hosted Linux container, runs checks to confirm bugs, and returns patches.

What changed

  • OpenRouter provided a 233-line Python script that uses the Responses API and server tools to review code changes.
  • The reviewer uploads changed files, tests, and diffs to a hosted Linux sandbox so the model can reproduce bugs and propose patches.
  • Findings return marked as confirmed with command output or left unconfirmed if they cannot be shown with a quick script.

Availability

Available now

“The reviewer in this guide uses the OpenRouter Responses API to run your changed files in a Linux sandbox, confirm each bug by running a check, and return fixes as patches you can apply with a flag.”

Founder takeaway

Run the review.py script locally, in a Git pre-push hook, or in GitHub Actions to check code changes for bugs.

Source

OpenRouterBuild an AI Code Reviewer with OpenRouter (Python)

Announced Checked

Researched and drafted with AI from the official sources above, then checked automatically before publishing. Spotted a mistake? Tell us.

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