Continue.dev
Continue.dev is an open-source AI coding assistant for VS Code and the JetBrains family. It's configured via a YAML file, which makes it easy to wire up several TokOne models at once.
Install
Search "Continue" in the marketplace and install.
Homepage: https://marketplace.visualstudio.com/items?itemName=Continue.continueSettings → Plugins → Marketplace, search "Continue" and install.
Homepage: https://plugins.jetbrains.com/plugin/22707-continueConfigure
Edit ~/.continue/config.yaml (%USERPROFILE%\.continue\config.yaml on Windows):
models:
- name: TokOne GPT-5.5
provider: openai
model: gpt-5.5
apiBase: https://api.tokone.ai/v1
apiKey: sk-xxx
- name: TokOne GPT-5.4
provider: openai
model: gpt-5.4
apiBase: https://api.tokone.ai/v1
apiKey: sk-xxxTIP
YAML indentation is sensitive — align all fields to the same column as name:. provider must be lowercase openai.
Field reference
| Field | Meaning |
|---|---|
name | Display name in the Continue model dropdown; pick your own |
provider | Must be openai (lowercase) |
model | TokOne Model ID, all lowercase, e.g. gpt-5.5 |
apiBase | https://api.tokone.ai/v1 |
apiKey | your sk-xxx |
Continue reloads the config automatically after saving — no editor restart needed.
Verify
Open the Continue sidebar, select "TokOne GPT-5.5" from the model dropdown, and send a test message. The request appears on the console "Usage" page.
FAQ
"unsupported provider"
The provider field must be lowercase openai, not OpenAI / OPENAI.
YAML changes don't take effect
- Check the YAML indentation — all fields should align to the same column as
name:. - Restart VS Code / JetBrains to force a config reload.
- Check the Continue Output panel for YAML parse errors.
apiBase vs baseUrl
Continue.dev uses apiBase, not the OpenAI SDK's base_url or Cursor's "Base URL". The wrong field name is silently ignored.
Configuring a Tab autocomplete model too
Continue.dev supports a separate autocomplete model via the tabAutocompleteModel field in ~/.continue/config.yaml. Autocomplete is latency-sensitive, so the cheaper, faster gpt-5.4 is a better fit.
Next steps
- Models — model pricing
- API Endpoints — protocol notes