Continue

This tutorial configures Continue, an agentic coding tool available as a CLI and IDE extension, to use Large Language Models hosted by Kimchi.

This tutorial focuses on the Continue CLI. IDE extensions automatically pick up the same configuration file — see IDE integration after completing the CLI setup.

Overview

By the end of this tutorial, you'll be able to use Kimi K2.6, Kimi K2.5, and MiniMax M2.7 with Continue in your terminal, VS Code, and JetBrains IDEs.

Prerequisites

A Kimchi API key from app.kimchi.dev/settings
Continue CLI installed — Follow the official install instructions.

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Kimchi base URL is OpenAI-compatible. Although this tutorial covers Continue, the same pattern works for other tools that support third-party OpenAI-compatible providers.

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Although Kimi K2.5 supports image analysis, Continue does not currently support this feature and is limited to text files.

Configure the CLI

IDE integration

The configuration file is automatically recognized by Continue extensions for VS Code and JetBrains. No additional setup is needed — install the extension and it picks up the same config.

If the extension doesn't load the config, confirm that ~/.continue/config.yaml (macOS/Linux) or %USERPROFILE%\.continue\config.yaml (Windows) exists and contains valid YAML.

Next steps

Rate limits

Understand request and token limits by plan before building for production.

Hosted model deployment

Deploy models on your own cluster when per-token costs exceed compute costs or compliance requires it.