Github copilot OpenAI-compatible endpoint

Connect VS Code to any OpenAI-compatible endpoint and use it as a native language model in Copilot Chat — no cloud lock-in required.

Works with Deepseek, Kimi, GLM, MimiMMax, CLIProxy, 9router, Omniroute and any other provider that speaks the OpenAI Chat Completions API.

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Features

• Multiple providers — configure as many OpenAI-compatible endpoints as you need.
• Native Copilot integration — your models appear in VS Code's Language Models picker and work in agent/inline-chat mode with full tool-calling support.
• Built-in chat panel — a lightweight webview panel for quick conversations without leaving the editor.
• Secure key storage — API keys are stored in VS Code's encrypted SecretStorage, never in plain-text settings.
• Auto model discovery — fetch the model list directly from the provider's /models endpoint.
• Status bar shortcut — see the active model at a glance and switch with one click.

Screenshots

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Getting Started

1. Install the extension

Install from the VS Code Marketplace or search "Personal OpenAI Chat" in the Extensions panel.

2. Configure a provider

Open the Command Palette (Ctrl+Shift+P / Cmd+Shift+P) and run:

Personal OpenAI: Configure Provider

Enter:

• Display name — e.g. CLIProxy Local
• Base URL — e.g. http://localhost:11434/v1
• API key — leave empty for providers that don't require one
• Models — fetch automatically or enter comma-separated IDs

3. Start chatting

Personal OpenAI: Open Chat

Or select your provider's models from the Copilot Chat model picker.

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Configuration

Settings are stored under personalOpenAI.* in VS Code settings.

Setting	Default	Description
personalOpenAI.providers	[]	List of provider objects (see below)
personalOpenAI.temperature	0.2	Sampling temperature (0 – 2)
personalOpenAI.maxTokens	4096	Maximum output tokens
personalOpenAI.systemPrompt	"You are a helpful coding assistant inside VS Code."	System prompt prepended to every request
personalOpenAI.requestTimeoutMs	120000	Request timeout in milliseconds

Provider object

// settings.json
"personalOpenAI.providers": [
  {
    "name": "Ollama Local",
    "endpoint": "http://localhost:11434/v1",
    // apiKey is optional — prefer "Configure Provider" to store it in SecretStorage
    "models": ["llama3.2", "qwen2.5-coder:7b"],
    "defaultModel": "qwen2.5-coder:7b",
    "toolCalling": true,   // expose as tool-capable in agent mode
    "imageInput": false,   // enable for vision models
    "contextWindow": 128000
  }
]

Security note: Avoid putting API keys directly in settings.json if the file is committed to source control. Use Personal OpenAI: Configure Provider instead — it stores keys in VS Code's encrypted SecretStorage.

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Commands

Command	Description
Personal OpenAI: Open Chat	Open the built-in chat panel
Personal OpenAI: Configure Provider	Add or edit a provider
Personal OpenAI: Pick Model	Switch the active provider / model
Personal OpenAI: Test Connection	Verify connectivity to the selected provider
Personal OpenAI: Diagnose Language Models	Show which models VS Code can see
Personal OpenAI: Clear Saved API Key	Delete a stored API key from SecretStorage

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Development

Run in Extension Development Host

# Press F5 in VS Code, or:
npm run dev

Install into your normal VS Code

npm run install-local

Then fully restart VS Code.

Package for distribution

npm install
npm run package   # produces a .vsix file

Publish to the Marketplace

npm run publish

Requires a Personal Access Token with the Marketplace (Manage) scope.

Lint

npm run lint

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Contributing

Bug reports and pull requests are welcome on GitHub.

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License

MIT