Continue

Configure Continue’s OpenAI-compatible provider with your derestricted key and model.

Before you start

Install the Continue extension and create a key in the console. New verified accounts receive $5 in starting credit.

Store your key locally

Add this line to ~/.continue/.env, replacing the placeholder:

DERESTRICTED_API_KEY=glmk_YOUR_API_KEY

Continue’s IDE extension resolves local secrets from .env files; exporting a key in a terminal is not sufficient. Keep this file private and restart the editor after changing it. See Continue’s secret configuration.

Add the model

Open your local Continue configuration, normally ~/.continue/config.yaml. Merge the model entry below into its models list. If you are creating the file, use the full example:

name: derestricted.ai
version: 1.0.0
schema: v1
models:
  - name: derestricted-llm
    provider: openai
    model: derestricted-llm
    apiBase: https://api.derestricted.ai/v1
    apiKey: ${{ secrets.DERESTRICTED_API_KEY }}
    roles:
      - chat
      - edit
      - apply
    capabilities:
      - tool_use
    defaultCompletionOptions:
      maxTokens: 8192

apiBase selects the compatible endpoint. The explicit tool_use capability lets Continue offer Agent mode for a custom model. See the official OpenAI-compatible setup and configuration reference.

Start using it

Select your local configuration in Continue, choose derestricted-llm, and ask it to explain a selected function. Use Chat for questions, Edit for changes, or Agent mode for tasks involving tools.

If something fails

Secret not found: check ~/.continue/.env and restart the editor. Workspace .env files can override the global value.
Agent mode unavailable: ensure capabilities includes tool_use and the selected model is derestricted-llm.
Other model roles: this example configures chat and edits. The gateway has no embeddings or legacy /completions endpoint. Use another provider for embeddings and for any autocomplete model that requires /completions.
Credit, size, or rate-limit errors: see API compatibility and troubleshooting.

Get started

Integrations

Before you start

Store your key locally

Add the model

Start using it

If something fails

​Before you start

​Store your key locally

​Add the model

​Start using it

​If something fails

Before you start

Store your key locally

Add the model

Start using it

If something fails