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# whiskr
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![screenshot](.github/chat.png)
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whiskr is a private, self-hosted web chat interface for interacting with AI models via [OpenRouter](https://openrouter.ai/).
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## Features
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- Private and self-hosted (data stored in localStorage)
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- Supports any model available on your OpenRouter account
- Real-time streaming responses
- Edit, delete, or copy any message
- Persistent settings for model, temperature, and other parameters
- Full conversation control including clearing and modifying messages
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- Smooth UI updates with [morphdom](https://github.com/patrick-steele-idem/morphdom), selections, images, and other state are preserved during updates
- Easy model selection:
- Tags indicate if a model supports **tools**, **vision**, or **reasoning**
- Search field with fuzzy matching to quickly find models
- Models are listed newest -> oldest
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- Reasoning effort control
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- Web search tools (set the `EXA_TOKEN` to enable):
- `search_web`: search via Exa in auto mode; returns up to 10 results with short summaries
- `fetch_contents`: fetch page contents for one or more URLs via Exa /contents
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- Structured JSON output
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- Statistics for messages (provider, ttft, tps and token count)
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## TODO
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- Retry button for assistant messages
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- Import and export of chats
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- Image and file attachments
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## Built With
**Frontend**
- Vanilla JavaScript and CSS
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- [morphdom](https://github.com/patrick-steele-idem/morphdom) for DOM diffing without losing state
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- [marked](https://github.com/markedjs/marked) for Markdown rendering
- [highlight.js](https://highlightjs.org/) for syntax highlighting
- Fonts: [Inter](https://rsms.me/inter/) (UI), [Comic Code](https://tosche.net/fonts/comic-code) (code)
- Icons: [SVGRepo](https://www.svgrepo.com/)
- Color palette: [Catppuccin Macchiato](https://catppuccin.com/)
**Backend**
- Go
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- [OpenRouter](https://openrouter.ai/) for model list and completions
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- [Exa](https://exa.ai/) for web search and content retrieval (`/search`, `/contents`)
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## Getting Started
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1. Copy `.example.env` to `.env` and set `OPENROUTER_TOKEN`:
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```bash
cp .example.env .env
```
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2. Build and run:
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```bash
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go build -o whiskr
./whiskr
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```
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3. Open `http://localhost:3443` in your browser.
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## Usage
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- Send a message with `Ctrl+Enter` or the send button
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- Just add a message with the add button
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- Hover over a message to edit, delete, or copy it
- Adjust model, temperature, prompt, or message role from the controls in the bottom-left
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- Use the model search field to quickly find models (supports fuzzy matching)
- Look for tags in the model list to see if a model supports tools, vision, or reasoning
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## License
GPL-3.0 see [LICENSE](LICENSE) for details.