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IDE Integration

Connect your code editor to Teale for AI-powered autocomplete, chat, and code generation --- all running locally on your Mac.

Prerequisites​

  • Teale running with a model loaded (teale up)
  • Your editor of choice installed

Continue.dev (VS Code / JetBrains)​

Continue is an open-source AI code assistant that supports custom backends.

  1. Install the Continue extension from the VS Code marketplace (or JetBrains plugin marketplace).

  2. Open Continue's configuration file. In VS Code, run the command Continue: Open Config File or edit ~/.continue/config.json directly.

  3. Add Teale as a model provider:

    {
        "models": [
            {
                "title": "Teale Local",
                "provider": "openai",
                "model": "llama-3.1-8b-instruct-4bit",
                "apiBase": "http://localhost:11435/v1",
                "apiKey": "not-needed"
            }
        ]
    }

  4. Save the file. Continue will reload automatically.

  5. Open the Continue sidebar and select "Teale Local" from the model dropdown.

Tab autocomplete​

To use Teale for tab completions, add a tabAutocompleteModel entry:

{
    "tabAutocompleteModel": {
        "title": "Teale Autocomplete",
        "provider": "openai",
        "model": "llama-3.1-8b-instruct-4bit",
        "apiBase": "http://localhost:11435/v1",
        "apiKey": "not-needed"
    }
}

Cursor​

Cursor supports custom OpenAI-compatible endpoints.

  1. Open Cursor Settings (Cmd+,).
  2. Navigate to Models > Add Model.
  3. Select OpenAI-compatible as the provider type.
  4. Set the base URL to http://localhost:11435/v1.
  5. Leave the API key field empty or enter any placeholder value.
  6. Select the model name from the dropdown (Cursor will query the /v1/models endpoint).
  7. Save and start using Teale in Cursor's chat and inline edit features.

Open WebUI​

Open WebUI is a self-hosted chat interface that supports OpenAI-compatible backends.

  1. Open your Open WebUI instance in a browser.
  2. Go to Settings > Connections.
  3. Add a new OpenAI connection:
    • URL: http://localhost:11435
    • API Key: leave empty or enter any value
  4. Save. Available models will appear in the model selector.

Zed​

Zed supports custom language model providers.

  1. Open Zed settings (Cmd+,).

  2. Add an OpenAI-compatible provider in your settings.json:

    {
        "language_models": {
            "openai": {
                "api_url": "http://localhost:11435/v1",
                "available_models": [
                    {
                        "name": "llama-3.1-8b-instruct-4bit",
                        "display_name": "Teale Local",
                        "max_tokens": 8192
                    }
                ]
            }
        }
    }

  3. Open the assistant panel and select "Teale Local" from the model picker.

Any OpenAI-compatible tool​

Any application that lets you configure a custom OpenAI API endpoint works with Teale. The pattern is always the same:

  1. Set the base URL to http://localhost:11435/v1.
  2. Set the API key to any non-empty string (or leave blank if the tool allows it).
  3. Select the model name returned by the /v1/models endpoint.

If the tool requires a specific model name, run teale models list to see what is currently loaded.

Next steps​