# AS Provider for Copilot
**Use Anthropic, Google Gemini, OpenAI, and any compatible API in VS Code's GitHub Copilot Chat**
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Features
- Multi-Provider Support: Anthropic Messages, Google Gemini, OpenAI Responses, and OpenAI-compatible Chat Completions (compatible with DeepSeek, SiliconFlow, etc.)
- Automatic Model Discovery: Automatically enumerates available models via the provider's model list API — no need to manually enter every model ID
- Reasoning Effort Control: Supports five levels —
low / medium / high / xhigh / max— for Anthropic and OpenAI reasoning models - Image Input: Enables image context for models with vision capabilities
- Tool Calling: Enables agent tool-calling for models that support it
- Visual Configuration UI: Manage Provider Profiles, models, and global settings through a built-in interface or commands — no manual file editing required
Requirements
- VS Code
>= 1.126.0 - GitHub Copilot extension (with
chatProviderandlanguageModelSystemproposed APIs enabled)
Quick Start
- Install AS Provider for Copilot from the VS Code Marketplace.
- Press
Ctrl+Shift+Pand run AS Provider for Copilot: Open Configuration. - Add a Provider Profile, select the provider type, and enter the Base URL.
- Enter the API Key for that profile.
- Models will automatically appear in Copilot's model picker.
Visual Configuration UI
The extension provides a visual configuration interface to manage Provider Profiles, models, and global settings without editing any files manually.
Open the Configuration UI
Press Ctrl+Shift+P, search for and run AS Provider for Copilot: Open Configuration.
Click to expand: Workflow example
1. **Add a Provider Profile** - Click "Add Profile" on the configuration page - Select the provider type (e.g. `openai-compatible`) - Enter the Base URL (e.g. `https://api.deepseek.com/v1`) - Enter the API Key - After saving, the extension will automatically discover all models for that provider 2. **Add a Model Manually** - If the provider doesn't support a model list API, you can add model configurations manually - Enter the model ID, associate it with a profile, and configure context length, tool calling, image input, etc. as needed 3. **Use in Copilot** - Open GitHub Copilot Chat (`Ctrl+Shift+I`) - Click the model picker and select "Manage Models..." - Choose the **AS Provider for Copilot** vendor - Select a discovered or manually configured model and start chattingMulti-Provider Management
Each Provider Profile corresponds to a separate upstream API service. You can configure multiple profiles simultaneously and manage API Keys independently for each.
| Provider Type | Default Base URL | Description |
|---|---|---|
anthropic |
https://api.anthropic.com |
Anthropic Claude series |
google |
https://generativelanguage.googleapis.com |
Google Gemini series |
openai-responses |
https://api.openai.com/v1 |
OpenAI Responses API |
openai-compatible |
User-defined | Any OpenAI-compatible endpoint |
Reasoning Effort Control
For models that support reasoning (e.g. Claude, GPT), you can configure the reasoning effort level globally or override it per model using Model Overrides:
| Level | Description |
|---|---|
low |
Minimum reasoning, fastest |
medium |
Balanced (default) |
high |
Higher reasoning depth |
xhigh |
Deep reasoning |
max |
Maximum reasoning effort |
You can also use Model Overrides to set contextLength, toolCalling, and imageInput per model without affecting global settings.
Commands
| Command | Description |
|---|---|
AS Provider for Copilot: Open Configuration |
Open the graphical configuration page |
AS Provider for Copilot: Set API Key |
Set an API Key for a model or profile |
AS Provider for Copilot: Delete Configured Entry |
Delete a configured model or profile |
AS Provider for Copilot: Refresh Discovered Models |
Force-refresh the auto-discovered model list |
Development
Click to expand
### Requirements - Node.js latest LTS - Yarn 4.x ### Common Scripts ```bash # Install dependencies yarn install # Full build (clean + WebView + extension) yarn build # Run tests yarn test # Lint yarn lint # Package .vsix yarn build:vsce ``` ### Project Structure ``` src/ core.ts # Type definitions, provider options, message conversion discovery.ts # Automatic model discovery extension.ts # VS Code extension entry point storage.ts # Configuration persistence views/ configView.ts # WebView controller webview/ # Configuration UI frontend (Vue 3) static/ # Built WebView static assets ```Acknowledgements
- Vercel AI SDK — Underlying multi-provider inference driver
- VS Code Language Model Chat Provider API
Support & License
- Submit an Issue: https://github.com/Hoshino-Yumetsuki/as-compatible-copilot/issues
- License: MIT