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pr-agent/README.md

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<div align="center">
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<div align="center">
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<img src="./pics/logo-dark.png#gh-dark-mode-only" width="330"/>
<img src="./pics/logo-light.png#gh-light-mode-only" width="330"/><br/>
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Making pull requests less painful with an AI agent
</div>
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[![GitHub license](https://img.shields.io/badge/License-Apache_2.0-blue.svg)](https://github.com/Codium-ai/pr-agent/blob/main/LICENSE)
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[![Discord](https://badgen.net/badge/icon/discord?icon=discord&label&color=purple)](https://discord.com/channels/1057273017547378788/1126104260430528613)
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<a href="https://github.com/Codium-ai/pr-agent/commits/main">
<img alt="GitHub" src="https://img.shields.io/github/last-commit/Codium-ai/pr-agent/main?style=for-the-badge" height="20">
</a>
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</div>
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<div style="text-align:left;">
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CodiumAI `PR-Agent` is an open-source tool aiming to help developers review pull requests faster and more efficiently. It automatically analyzes the pull request and can provide several types of feedback:
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**Auto-Description**: Automatically generating PR description - title, type, summary, code walkthrough and PR labels.
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\
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**PR Review**: Adjustable feedback about the PR main theme, type, relevant tests, security issues, focus, score, and various suggestions for the PR content.
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\
**Question Answering**: Answering free-text questions about the PR.
\
**Code Suggestion**: Committable code suggestions for improving the PR.
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<h3>Example results:</h2>
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</div>
<h4>/describe:</h4>
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<div align="center">
<p float="center">
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<img src="https://www.codium.ai/images/describe.gif" width="800">
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</p>
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</div>
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<h4>/review:</h4>
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<div align="center">
<p float="center">
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<img src="https://www.codium.ai/images/review.gif" width="800">
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</p>
</div>
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<h4>/reflect_and_review:</h4>
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<div align="center">
<p float="center">
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<img src="https://www.codium.ai/images/reflect_and_review.gif" width="800">
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</p>
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<h4>/ask:</h4>
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<p float="center">
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<img src="https://www.codium.ai/images/ask.gif" width="800">
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</p>
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<h4>/improve:</h4>
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<p float="center">
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<img src="https://www.codium.ai/images/improve-1.gif" width="800">
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</p>
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</div>
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<div align="left">
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- [Overview](#overview)
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- [Try it now](#try-it-now)
- [Installation](#installation)
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- [Usage and tools](#usage-and-tools)
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- [Configuration](./CONFIGURATION.md)
- [How it works](#how-it-works)
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- [Roadmap](#roadmap)
- [Similar projects](#similar-projects)
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</div>
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## Overview
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`PR-Agent` offers extensive pull request functionalities across various git providers:
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| | | GitHub | Gitlab | Bitbucket |
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|-------|---------------------------------------------|:------:|:------:|:---------:|
| TOOLS | Review | :white_check_mark: | :white_check_mark: | :white_check_mark: |
| | ⮑ Inline review | :white_check_mark: | :white_check_mark: | |
| | Ask | :white_check_mark: | :white_check_mark: | |
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| | Auto-Description | :white_check_mark: | :white_check_mark: | |
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| | Improve Code | :white_check_mark: | :white_check_mark: | |
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| | Reflect and Review | :white_check_mark: | | |
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| | | | | |
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| USAGE | CLI | :white_check_mark: | :white_check_mark: | :white_check_mark: |
| | Tagging bot | :white_check_mark: | | |
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| | Actions | :white_check_mark: | | |
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| | | | | |
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| CORE | PR compression | :white_check_mark: | :white_check_mark: | :white_check_mark: |
| | Repo language prioritization | :white_check_mark: | :white_check_mark: | :white_check_mark: |
| | Adaptive and token-aware<br />file patch fitting | :white_check_mark: | :white_check_mark: | :white_check_mark: |
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| | Incremental PR Review | :white_check_mark: | | |
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Examples for invoking the different tools via the CLI:
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- **Review**: python cli.py --pr-url=<pr_url> review
- **Describe**: python cli.py --pr-url=<pr_url> describe
- **Improve**: python cli.py --pr-url=<pr_url> improve
- **Ask**: python cli.py --pr-url=<pr_url> ask "Write me a poem about this PR"
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- **Reflect**: python cli.py --pr-url=<pr_url> reflect
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"<pr_url>" is the url of the relevant PR (for example: https://github.com/Codium-ai/pr-agent/pull/50).
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In the [configuration](./CONFIGURATION.md) file you can select your git provider (GitHub, Gitlab, Bitbucket), and further configure the different tools.
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## Try it now
Try GPT-4 powered PR-Agent on your public GitHub repository for free. Just mention `@CodiumAI-Agent` and add the desired command in any PR comment! The agent will generate a response based on your command.
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![Review generation process](https://www.codium.ai/images/demo.gif)
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To set up your own PR-Agent, see the [Installation](#installation) section
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---
## Installation
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To get started with PR-Agent quickly, you first need to acquire two tokens:
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1. An OpenAI key from [here](https://platform.openai.com/), with access to GPT-4.
2. A GitHub personal access token (classic) with the repo scope.
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There are several ways to use PR-Agent:
- [Method 1: Use Docker image (no installation required)](INSTALL.md#method-1-use-docker-image-no-installation-required)
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- [Method 2: Run as a GitHub Action](INSTALL.md#method-2-run-as-a-github-action)
- [Method 3: Run from source](INSTALL.md#method-3-run-from-source)
- [Method 4: Run as a polling server](INSTALL.md#method-4-run-as-a-polling-server)
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- Request reviews by tagging your GitHub user on a PR
- [Method 5: Run as a GitHub App](INSTALL.md#method-5-run-as-a-github-app)
- Allowing you to automate the review process on your private or public repositories
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## Usage and Tools
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**PR-Agent** provides five types of interactions ("tools"): `"PR Reviewer"`, `"PR Q&A"`, `"PR Description"`, `"PR Code Sueggestions"` and `"PR Reflect and Review"`.
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- The "PR Reviewer" tool automatically analyzes PRs, and provides various types of feedback.
- The "PR Q&A" tool answers free-text questions about the PR.
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- The "PR Description" tool automatically sets the PR Title and body.
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- The "PR Code Suggestion" tool provide inline code suggestions for the PR that can be applied and committed.
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- The "PR Reflect and Review" tool initiates a dialog with the user, asks them to reflect on the PR, and then provides a more focused review.
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## How it works
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![PR-Agent Tools](https://www.codium.ai/wp-content/uploads/2023/07/codiumai-diagram-v4.jpg)
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Check out the [PR Compression strategy](./PR_COMPRESSION.md) page for more details on how we convert a code diff to a manageable LLM prompt
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## Roadmap
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- [ ] Support open-source models, as a replacement for OpenAI models. (Note - a minimal requirement for each open-source model is to have 8k+ context, and good support for generating JSON as an output)
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- [x] Support other Git providers, such as Gitlab and Bitbucket.
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- [ ] Develop additional logic for handling large PRs, and compressing git patches
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- [ ] Add additional context to the prompt. For example, repo (or relevant files) summarization, with tools such a [ctags](https://github.com/universal-ctags/ctags)
- [ ] Adding more tools. Possible directions:
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- [x] PR description
- [x] Inline code suggestions
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- [x] Reflect and review
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- [ ] Enforcing CONTRIBUTING.md guidelines
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- [ ] Performance (are there any performance issues)
- [ ] Documentation (is the PR properly documented)
- [ ] Rank the PR importance
- [ ] ...
## Similar Projects
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- [CodiumAI - Meaningful tests for busy devs](https://github.com/Codium-ai/codiumai-vscode-release)
- [Aider - GPT powered coding in your terminal](https://github.com/paul-gauthier/aider)
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- [openai-pr-reviewer](https://github.com/coderabbitai/openai-pr-reviewer)
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- [CodeReview BOT](https://github.com/anc95/ChatGPT-CodeReview)
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- [AI-Maintainer](https://github.com/merwanehamadi/AI-Maintainer)