Continue · VS Code & JetBrains + Luma Cloud

Before you start

• Create a Luma Cloud API key in Dashboard → API and copy a model ID from the authenticated model catalog.
• Install Continue in VS Code or your supported JetBrains IDE.

Get an API key and a model ID →

Set up Continue · VS Code & JetBrains

1. Open the Continue extension

   In VS Code, open Continue from the sidebar. In a JetBrains IDE, open its Continue tool window. Use Continue's configuration dropdown and the gear next to Local Config; this is separate from the editor's own AI settings.

2. Edit the local model list

   The file is ~/.continue/config.yaml on macOS/Linux and %USERPROFILE%\.continue\config.yaml on Windows. Back it up, then add the model under the existing models list. Do not create a second models key or remove the current name, version, schema, and other model entries.

3. Save the key locally

   Put LUMA_CLOUD_API_KEY=your-key in ~/.continue/.env, or %USERPROFILE%\.continue\.env on Windows. Keep this file out of Git. Restart the IDE after changing secrets; a shell export alone does not supply secrets to the extension.

4. Save and select the model

   Replace MODEL_ID_FROM_CATALOG with the exact ID. Save the YAML; Continue reloads model configuration. After adding the secret, restart the IDE, select Local Config, then choose Luma Cloud in Continue's model picker. Begin in Chat mode.

models:
  - name: Luma Cloud
    provider: openai
    model: MODEL_ID_FROM_CATALOG
    apiBase: https://api.lumaos.cloud/v1
    apiKey: ${{ secrets.LUMA_CLOUD_API_KEY }}
    useResponsesApi: false
    roles:
      - chat

name: Luma Cloud
version: 1.0.0
schema: v1
models:
  - name: Luma Cloud
    provider: openai
    model: MODEL_ID_FROM_CATALOG
    apiBase: https://api.lumaos.cloud/v1
    apiKey: ${{ secrets.LUMA_CLOUD_API_KEY }}
    useResponsesApi: false
    roles:
      - chat

LUMA_CLOUD_API_KEY=YOUR_LUMA_CLOUD_API_KEY

Reply with exactly: Luma Cloud connection works.

Check the connection

1. Send a short text request, then check Usage → API Wallet for Wallet usage, or subscription Usage for Builder keys. A populated model list alone does not confirm a successful response.
2. Before using an agent on your project, try one read-only file task in a disposable folder. Confirm the tool result and final answer, keeping action approval enabled.

For errors or a request that stops, see troubleshooting. A visible model list alone does not confirm that a chat or editing task can complete.

What to expect

• Chat configuration does not configure autocomplete, embeddings, or reranking. Those features need their own supported models.
• Agent mode needs a model with tool calling; do not force capabilities merely to make it appear.

Troubleshooting Continue · VS Code & JetBrains