Using Continue

Reviewed by Proof · Updated

Definition

Continue is an open-source AI coding assistant for VS Code and JetBrains that can use luv13 through its openai provider with a custom apiBase.

Key takeaways

  • Continue's models are set in its config.yaml file.
  • Use provider: openai, set apiBase to https://api.luv13.ai/v1, and set model to a luv13 id.
  • Give luv13 models the chat, edit and apply roles.
  • Leave luv13 out of Continue's autocomplete role. Autocomplete may need endpoints other than chat completions, and chat completions is the only generation endpoint luv13 serves.
  • Field names here come from Continue's official config reference.

Setup

  1. Install Continue in VS Code or a JetBrains IDE.
  2. Open Continue's config file (config.yaml).
  3. Add a model entry:
name: My Config
version: 1.0.0
schema: v1
models:
  - name: luv13 GLM 5.3 Flash
    provider: openai
    model: luv13/glm-5.3-flash
    apiBase: https://api.luv13.ai/v1
    apiKey: <YOUR_LUV13_API_KEY>
    roles:
      - chat
      - edit
      - apply
  1. Replace <YOUR_LUV13_API_KEY> with your key, save, and pick the model in Continue's model menu.

Don't commit this file with a real key in it. See API Key Best Practices.

Useful options

Continue's config reference lists more fields you can add to a model:

  • defaultCompletionOptions with temperature, maxTokens, topP and stop. Whether luv13 honors each one is covered on Request Parameters.
  • capabilities with tool_use to tell Continue the model can call tools, which agent mode needs.
  • requestOptions with timeout and headers.

Why not autocomplete

Tab autocomplete works differently from chat, and Continue's docs include a setting (useLegacyCompletionsEndpoint) for models that should use the older /completions endpoint. luv13 serves POST /v1/chat/completions and returns 404 for /v1/completions. See Endpoints. The safe setup is luv13 for chat and edits, and a separate model for autocomplete.

Check your settings first

curl https://api.luv13.ai/v1/chat/completions \
  -H "Authorization: Bearer $LUV13_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "luv13/glm-5.3-flash", "messages": [{"role": "user", "content": "Hi"}]}'