Continue

Continue is currently not supported

Continue does implement the OpenAI Responses API, but it only uses it for models whose names match OpenAI's own naming — o1/o3/o4-style or gpt-5 and above. For every other model name it calls the legacy Chat Completions endpoint (/v1/chat/completions), which the CoreAI API does not implement, so requests fail with 404 Not Found regardless of authentication settings. There is no configuration option to force the Responses API for other model names (useResponsesApi can only disable it, and the upstream feature request for OpenAI-compatible providers was closed as not planned). Since platform model names generally do not follow OpenAI's naming, Continue cannot reliably connect to the CoreAI API. Use OpenCode or the OpenAI SDK instead. This page is kept for reference and will be updated if Continue adds Responses API support for arbitrary models.

Continue would connect to BullSequana AI through the CoreAI API; the configuration below documents the intended setup, but it does not work until the compatibility gap described above is closed.

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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