Continue

Continue can connect to BullSequana AI through the CoreAI API, because the platform exposes an OpenAI-compatible interface.

What To Use

Use:

provider: openai
base URL: https://llm-backend.<platform-domain>/v1
token: JWT or sk-bsq-... API key

Do not point Continue directly to internal LiteLLM endpoints.

1. Install Continue

Install the Continue extension in:

VS Code
JetBrains

Example for VS Code:

code --install-extension Continue.continue

2. Prepare Authentication

Generate or obtain one of these:

a JWT token
a BullSequana AI API key

If you need that flow first, use:

Use local models via API

3. Configure Continue

Create or edit ~/.continue/config.json.

Example configuration:

{
  "models": [
    {
      "title": "BullSequana AI",
      "provider": "openai",
      "model": "<model-name-from-/v1/models>",
      "apiKey": "sk-bsq-v1-...",
      "apiBase": "https://llm-backend.<platform-domain>/v1"
    }
  ],
  "tabAutocompleteModel": {
    "title": "BullSequana AI Fast",
    "provider": "openai",
    "model": "<fast-model-name-from-/v1/models>",
    "apiKey": "sk-bsq-v1-...",
    "apiBase": "https://llm-backend.<platform-domain>/v1"
  }
}

4. Check Model Names

Do not hardcode example model names from another environment without checking first.

Available models are also visible in the CoreAI Portal.

If you want the API-level source of truth for the current environment, use:

curl "https://llm-backend.<platform-domain>/v1/models" \
  -H "Authorization: Bearer <your-token>"

5. Start Using Continue

Common shortcuts include:

Ctrl+L for chat
Ctrl+I for inline edits
editor-native completion flows for code suggestions

Why This Is The Recommended Path

This keeps Continue aligned with the BullSequana AI platform contract:

stable API surface
controlled authentication
flexibility to evolve internal routing and inference components later

Continue

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