ChatGPT Copilot is a powerful extension for Visual Studio Code, bringing the capabilities of ChatGPT directly into your coding environment. Built on the popular gencay/vscode-chatgpt, which has been downloaded by over 500,000 developers.

Unfortunately, the original author has decided to stop maintaining the project, and the new recommended Genie AI extension is not open-source. This fork continues the development to keep the project open and accessible to everyone.

• 🤖 Supports GPT-4, GPT-3.5, Claude, Gemini or OpenAI-compatible local models with your API key from OpenAI, Azure OpenAI Service, Google, Anthropic or other providers.
• 📃 Streaming Answers: Receive real-time responses to your prompts in the sidebar conversation window.
• 📖 Prompt Manager: Chat with your own prompts (use # to search).
• 🔥 Stop Responses: Interrupt responses at any time to save your tokens.
• 📝 Code Assistance: Create files or fix your code with one click or keyboard shortcuts.
• ➡️ Export Conversations: Export all your conversation history at once in Markdown format.
• 🐛 Automatic Partial Code Detection: Automatically continues and combines responses when they are cut off.
• 📰 Custom Prompt Prefixes: Customize what you are asking ChatGPT with ad-hoc prompt prefixes.
• ➕ Editable Prompts: Edit and resend previous prompts.
• 💻 Seamless Code Integration: Copy, insert, or create new files directly from ChatGPT's code suggestions.

• Install the extension from the Visual Studio Marketplace or search ChatGPT Copilot in VScode Extensions and click install.
• Reload Visual Studio Code after installation.

Configure the extension by setting your API keys and preferences in the settings.

Refer to the following sections for more details on configuring various OpenAI services.

    "chatgpt.gpt3.apiKey": "<api-key>",
    "chatgpt.gpt3.apiBaseUrl": "https://api.openai.com/v1", // Optional

    "chatgpt.gpt3.apiKey": "<api-key>",
    "chatgpt.gpt3.model": "gpt-3.5-turbo",
    "chatgpt.gpt3.apiBaseUrl": "https://<endpoint-name>.openai.azure.com/openai/deployments/<deployment-name>", // Required

    "chatgpt.gpt3.model": "claude-3-sonnet-20240229",
    "chatgpt.gpt3.apiKey": "<api-key>",
    "chatgpt.gpt3.apiBaseUrl": "https://api.anthropic.com/v1", // Optional

    "chatgpt.gpt3.apiKey": "<api-key>",
    "chatgpt.gpt3.apiBaseUrl": "<base-url>",

To use a custom model name for local or self-hosted LLMs compatible with OpenAI, set the chatgpt.gpt3.model configuration to "custom" and specify your custom model name in the chatgpt.gpt3.customModel configuration.

Example configuration for a custom model name with groq:

    "chatgpt.gpt3.model": "custom",
    "chatgpt.gpt3.apiKey": "<your-custom-key>",
    "chatgpt.gpt3.customModel":  "mixtral-8x7b-32768",
    "chatgpt.gpt3.apiBaseUrl": "https://api.groq.com/openai/v1",

• Install vsce if you don't have it on your machine (The Visual Studio Code Extension Manager)
  • npm install --global vsce
• Run vsce package
• Follow the instructions and install manually.

npm run build
npm run package
code --uninstall-extension feiskyer.chatgpt-copilot
code --install-extension chatgpt-copilot-*.vsix

This project is released under ISC License - See LICENSE for details. Copyright notice and the respective permission notices must appear in all copies.