.This project aims to automate code review using the ChatGPT language model. It integrates with Github Actions, and upon receiving a Pull Request, it automatically sends each code review to ChatGPT.

This fork is a complete rewrite of the original. It outputs only a single comment per PR event. It sends patch diff and final file state to GPT reviewers. It appends an Executive review at the bottom of the comment using Joe Rogan CTO persona to do the summary. He was picked for clarity and simplicity.

The following steps will guide you in setting up the code review automation with ChatGPT.

Before you begin, you need to have the following:

• An OpenAI API Key. You will need a personal API key from OpenAI which you can get here: https://openai.com/api/. To get an OpenAI API key, you can sign up for an account on the OpenAI website https://openai.com/signup/. Once you have signed up, you can create a new API key from your account settings.
• A Github account and a Github repository where you want to use the code review automation.

Create a secret for your OpenAI API Key in your Github repository or organization with the name openai_api_key. This secret will be used to authenticate with the OpenAI API.

You can do this by going to your repository/organization's settings, navigate to secrets and create a new secret with the name openai_api_key and paste your OpenAI API key as the value.

Then you need to set up your project's permissions so that the Github Actions can write comments on Pull Requests. You can read more about this here: automatic-token-authentication

on:
  pull_request:
    types: [opened, synchronize]

jobs:
  hello_world_job:
    runs-on: ubuntu-latest
    name: ChatGPT code reviewer
    steps:
      - name: ChatGTP code reviewer code
        uses: fr33d00m/chatgpt-github-actions@v2-turbo
        with:
          openai_api_key: ${{ secrets.openai_api_key }}
          github_token: ${{ secrets.GITHUB_TOKEN }}
          github_pr_id: ${{ github.event.number }}
          openai_engine: "gpt-3.5-turbo" #optional
          openai_temperature: 0.2 #optional
          openai_max_tokens: 2048 #optional

In the above workflow, the pull_request event triggers the workflow whenever a pull request is opened or synchronized. The workflow runs on the ubuntu-latest runner

The openai_api_key is passed from the secrets context, and the github_token is also passed from the secrets context. The github_pr_id is passed from the github.event.number context. The other three input parameters, openai_engine, openai_temperature, and openai_max_tokens, are optional and have default values.

When sending code to the ChatGPT language model, it is important to consider the security and privacy of the code because user data may be collected and used to train and improve the model, so it's important to have proper caution and privacy policies in place.. OpenAI takes security seriously and implements measures to protect customer data, such as encryption of data in transit and at rest, and implementing regular security audits and penetration testing. However, it is still recommended to use appropriate precautions when sending sensitive or confidential code, such as removing any sensitive information or obscuring it before sending it to the model. Additionally, it is a good practice to use a unique API key for each project and to keep the API key secret, for example by storing it in a Github secret. This way, if the API key is ever compromised, it can be easily revoked, limiting the potential impact on the user's projects.

• OpenAI - The AI platform used
• Github Actions - Automation platform

• CiroLini - cirolini

• Glauber Borges - glauberborges
• Sychus - sychus
• fr33d00m -fr33d00m