Continue

Continue is an open-source AI coding assistant, available as a VS Code / JetBrains plugin and as a command-line tool (cn). Both share the same config.yaml, so the configuration below applies to either.

Configure the CLI

1. Install the CLI

node -v   # needs 20+ — upgrade via https://nodejs.org/en/download if older
npm install -g @continuedev/cli

curl -fsSL https://raw.githubusercontent.com/continuedev/continue/main/extensions/cli/scripts/install.sh | bash

2. Configure the model

Create an API Key on the API Keys page, then edit ~/.continue/config.yaml. On a fresh machine, create the directory first with mkdir -p ~/.continue.

name: scitix
version: 0.0.1
schema: v1

models:
  - name: glm-5.2
    provider: openai
    model: glm-5.2
    apiBase: https://api.scitix.ai/model-api/v1
    apiKey: <Your API Key>
    roles:
      - chat
      - edit
      - apply

3. Create the onboarding marker

As of CLI 1.5.47, interactive cn otherwise shows a first-run login prompt asking for an Anthropic API key and ignores your local config. Headless cn -p is unaffected. See continuedev/continue#12258.

touch ~/.continue/.onboarding_complete

4. Run the CLI

Plain cn opens the interactive chat TUI. Type / to see slash commands. cn -p "<prompt>" answers once and exits.

cn                                           # interactive chat
cn -p "introduce yourself in one sentence"  # one-shot

For tasks that touch files or run commands, add --auto to auto-approve tool calls, or stay in interactive mode to approve each one. Finer-grained flags also exist: --readonly for plan mode with read-only tools, and repeatable --allow <tool> / --exclude <tool>.

Configure the VS Code / JetBrains Extension

Install the extension from the VS Code or JetBrains marketplace by searching for Continue.
Open the chat sidebar. In VS Code, use Cmd/Ctrl+L; in JetBrains, use Cmd/Ctrl+J.
Click the config selector above the input, then the gear icon next to Local Config.
Add the same models entry shown above to ~/.continue/config.yaml, or %USERPROFILE%\.continue\config.yaml on Windows.
Select glm-5.2 from the model dropdown and send a message.

The CLI and extension share ~/.continue/config.yaml. If you are logged into Continue Hub, make sure the active config is the local one.

Field Reference

The CLI and the extension share config.yaml, so the same fields apply to both.

Field	Description
`provider`	Keep as `openai` for any OpenAI-compatible service.
`model`	Model ID, such as `glm-5.2`.
`apiBase`	ScitiX OpenAI-compatible endpoint: `https://api.scitix.ai/model-api/v1`.
`apiKey`	Your API Key from the API Keys page.
`roles`	Continue features that use this model. Valid values: `chat`, `autocomplete`, `embed`, `rerank`, `edit`, `apply`.
`capabilities`	Optional. Set `[tool_use]` if agent tool calls do not work out of the box. This overrides Continue’s autodetection, which can miss on OpenAI-compatible endpoints.
`defaultCompletionOptions`	Optional. Set `contextLength` / `maxTokens` to the model’s actual limits.

For Tab autocomplete, add a second lightweight model entry with roles: [autocomplete]. A fast model such as DeepSeek-V4-Flash works well.

FAQ

The chat TUI shows a Model Capability Warning for glm-5.2. As of 1.5.47, the CLI checks model IDs against a built-in list and warns on ones it does not recognize, even with capabilities declared. It is safe to ignore: chat, edit, and tool calls all work against the ScitiX endpoint.

Get Started

Models

Usage

API Guides

Tool Integrations

Configure the CLI

1. Install the CLI

2. Configure the model

3. Create the onboarding marker

4. Run the CLI

Configure the VS Code / JetBrains Extension

Field Reference

FAQ

​Configure the CLI

​1. Install the CLI

​2. Configure the model

​3. Create the onboarding marker

​4. Run the CLI

​Configure the VS Code / JetBrains Extension

​Field Reference

​FAQ

Configure the CLI

1. Install the CLI

2. Configure the model

3. Create the onboarding marker

4. Run the CLI

Configure the VS Code / JetBrains Extension

Field Reference

FAQ