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OpenAI to Language Model API Bridge

OpenAI to Language Model API Bridge

OpenAI to Language Model API Bridge

|
7 installs
| (0) | Free
Connect OpenAI-compatible APIs to VSCode's Language Model API for Copilot
Installation
Launch VS Code Quick Open (Ctrl+P), paste the following command, and press enter.
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OAI2LMApi - OpenAI to Language Model API Bridge

A VSCode extension that connects OpenAI-compatible APIs to VSCode's Language Model API, enabling integration with GitHub Copilot Chat and other AI-powered features in VSCode.

Features

  • ✅ Full OpenAI API Compatibility: Works with any OpenAI-compatible API endpoint
  • ✅ VSCode Language Model API Integration: Seamlessly integrates with VSCode's built-in language model features
  • ✅ Streaming Support: Real-time streaming responses for better user experience
  • ✅ Automatic Model Loading: Fetches available models from the API endpoint on startup
  • ✅ Secure API Key Storage: API keys are stored securely using VSCode's SecretStorage
  • ✅ Tool Calling Filter: Optionally filter models by tool/function calling support
  • ✅ Easy Configuration: Simple setup through VSCode settings and commands

Requirements

  • VSCode version 1.107.0 or higher
  • An OpenAI-compatible API endpoint
  • API key for authentication

Installation

From VSIX

  1. Download the .vsix file from the Releases page
  2. In VSCode, open the Command Palette (Ctrl+Shift+P / Cmd+Shift+P)
  3. Run "Extensions: Install from VSIX..." and select the downloaded file

From Source

  1. Clone this repository
  2. Run pnpm install to install dependencies
  3. Run pnpm run compile to build the extension
  4. Press F5 in VSCode to run the extension in debug mode

Quick Start

  1. Install the extension
  2. Open Command Palette (Ctrl+Shift+P / Cmd+Shift+P)
  3. Run OAI2LMApi: Set API Key and enter your API key
  4. (Optional) Configure the API endpoint in settings if not using OpenAI
  5. Models will be automatically loaded and available in GitHub Copilot Chat

Commands

Command Description
OAI2LMApi: Set API Key Securely store your API key
OAI2LMApi: Clear API Key Remove the stored API key
OAI2LMApi: Refresh Models Manually reload available models from the API
OAI2LMApi: Manage Provider Settings Open extension settings

Configuration

Configure the extension through VSCode settings (Ctrl+, or Cmd+,):

Setting Default Description
oai2lmapi.apiEndpoint https://api.openai.com/v1 OpenAI-compatible API endpoint URL
oai2lmapi.autoLoadModels true Automatically load models from API on startup
oai2lmapi.showModelsWithoutToolCalling false Show models that do not support tool/function calling

Example Configuration

{
  "oai2lmapi.apiEndpoint": "https://api.openai.com/v1",
  "oai2lmapi.autoLoadModels": true,
  "oai2lmapi.showModelsWithoutToolCalling": false
}

API Key Storage

The API key is stored securely using VSCode's built-in SecretStorage. Use the OAI2LMApi: Set API Key command to set your key.

Note: If you previously stored an API key in settings (the deprecated oai2lmapi.apiKey setting), it will be automatically migrated to secure storage.

Supported APIs

This extension works with any API that implements the OpenAI chat completions format:

  • OpenAI API
  • Azure OpenAI
  • LocalAI
  • Ollama (with OpenAI compatibility layer)
  • LM Studio
  • Text Generation WebUI (with OpenAI extension)
  • Any custom OpenAI-compatible implementation

Troubleshooting

Extension doesn't activate

  • Ensure you're using VSCode 1.107.0 or higher
  • Verify the extension is enabled in the Extensions view

Models not loading

  • Run OAI2LMApi: Set API Key to ensure your API key is configured
  • Verify your API endpoint is correct and accessible
  • Check the VSCode Developer Console (Help > Toggle Developer Tools) for errors
  • Try OAI2LMApi: Refresh Models to manually reload

API errors

  • Ensure your API endpoint supports /v1/models and /v1/chat/completions
  • Verify network connectivity to the API endpoint

License

MIT - See LICENSE for details.

Contributing

Contributions are welcome! Please feel free to submit issues or pull requests on GitHub.

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