A code review robot powered by ChatGPT

Translation Versions: ENGLISH | 中文简体 | 中文繁體 | 한국어 | 日本語

❗️⚠️ Due to cost considerations, BOT is only used for testing purposes and is currently deployed on AWS Lambda with ratelimit restrictions. Therefore, unstable situations are completely normal. It is recommended to deploy an app by yourself.

Install: apps/cr-gpt;

1. Go to the repo homepage which you want integrate this bot
2. click settings
3. click actions under secrets and variables
4. Change to Variables tab, create a new variable OPENAI_API_KEY with the value of your open api key (For Github Action integration, set it in secrets)

1. The robot will automatically do the code review when you create a new Pull request, the review information will show in the pr timeline / file changes part.
2. After git push update the pull request, cr bot will re-review the changed files

example:

ChatGPT-CodeReview/pull/21

actions/chatgpt-codereviewer

1. add the OPENAI_API_KEY to your github actions secrets
2. create .github/workflows/cr.yml add bellow content

name: Code Review

permissions:
  contents: read
  pull-requests: write

on:
  pull_request:
    types: [opened, reopened, synchronize]

jobs:
  test:
    # if: ${{ contains(github.event.*.labels.*.name, 'gpt review') }} # Optional; to run only when a label is attached
    runs-on: ubuntu-latest
    steps:
      - uses: anc95/ChatGPT-CodeReview@main
        env:
          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
          OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
          # Optional
          LANGUAGE: Chinese
          OPENAI_API_ENDPOINT: https://api.openai.com/v1
          MODEL: gpt-turbo-3.5-0613
          PROMPT:
          top_p: 1
          temperature: 1
          max_tokens: 10000

1. clone code
2. copy .env.example to .env, and fill the env variables
3. install deps and run

npm i
npm -i g pm2
npm run build
pm2 start pm2.config.cjs

probot for more detail

# Install dependencies
npm install

# Run the bot
npm start

# 1. Build container
docker build -t cr-bot .

# 2. Start container
docker run -e APP_ID=<app-id> -e PRIVATE_KEY=<pem-value> cr-bot

If you have suggestions for how cr-bot could be improved, or want to report a bug, open an issue! We'd love all and any contributions.

For more, check out the Contributing Guide.

this project is inpired by codereview.gpt

ISC © 2023 anc95