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PR Review Agent

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Basic Information

PR-Review-Agent is an automated GitHub pull request review agent that uses OpenAI to generate thoughtful, critical code reviews across multiple repositories. The agent periodically scans repositories listed in a repositories.txt file, fetches open PRs via the GitHub API, and uses the OpenAI o4-mini model to generate review comments. It posts those reviews as comments on PRs and tracks which PRs have been reviewed to avoid duplicates. The project is implemented in Python, is run from main.py, and is configurable via environment variables and command line options. The review behavior can be customized by editing the review_prompts in the review_pr function. The repository includes setup instructions, a list of prerequisites, and guidance for obtaining the required GitHub personal access token and OpenAI API key.

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App URL
https://github.com/AndreasInk/PR-Review-Agent
Github Repository
https://github.com/AndreasInk/PR-Review-Agent/blob/main/README.md

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App Details

Features
AI-powered code reviews driven by the OpenAI o4-mini model. Monitoring of multiple GitHub repositories via a repositories.txt file with automatic creation if missing. Configurable checking interval with a default one-hour cadence and a command line option to set interval in seconds. Avoidance of duplicate comments by tracking reviewed PRs. Command line options to specify a custom repository file, interval, and GitHub token, and a legacy analysis mode flag. Simple Python-based installation and usage with a virtual environment and requirements.txt. Customizable review prompts located in the review_pr function. Requires Python 3.8 or higher and environment variables for GITHUB_TOKEN and OPENAI_API_KEY. Uses the OpenAI Agents SDK as noted in acknowledgements.
Use Cases
The agent saves maintainers time by automatically surfacing critical, constructive feedback on pull requests so human reviewers can focus on higher-level decisions. It provides consistent, repeatable reviews across multiple repositories and reduces the chance of missing issues by periodically scanning open PRs and posting findings. The duplicate-comment avoidance reduces noise on PR threads. Configurable intervals and repository lists let teams tailor the agent to their workflow. Easy setup with a Python virtual environment and clear environment variable requirements makes adoption straightforward. Customizable prompts allow teams to adjust the tone and scope of reviews. The project is open for contributions and follows simple development guidelines to extend or refine review behavior.

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