$LLM247 Docs

Continue.dev

Configure Continue, the open-source AI code assistant for VS Code and JetBrains, to use LLM247's model catalog.

What This Does

Continue is an open-source AI assistant that integrates with VS Code and JetBrains IDEs. It provides chat, code generation, inline edits, and tab completions. By connecting Continue to LLM247, you unlock access to Kimi, DeepSeek, MiniMax, Qwen, MiMo, GLM, and Gemma models through a single unified endpoint with consolidated billing.


Setup

Step 1: Install Continue

VS Code:

  1. Open the Extensions marketplace (Cmd+Shift+X)
  2. Search for Continue
  3. Click Install

JetBrains (IntelliJ, PyCharm, WebStorm, etc.):

  1. Open Settings → Plugins
  2. Search for Continue in the Marketplace
  3. Click Install and restart the IDE

Step 2: Open the Config File

Continue stores its configuration in a JSON file:

OSPath
macOS / Linux~/.continue/config.json
Windows%USERPROFILE%\.continue\config.json

You can also open it from Continue's sidebar: click the gear iconEdit Config

Step 3: Add LLM247 Configuration

Add the following to your config.json:

{
  "models": [
    {
      "title": "LLM247 Kimi K2.7 Code",
      "provider": "openai",
      "model": "kimi-k2.7-code",
      "apiBase": "https://api.llm247.net/v1",
      "apiKey": "YOUR_LLM247_API_KEY"
    },
    {
      "title": "LLM247 DeepSeek V4 Pro",
      "provider": "openai",
      "model": "deepseek-v4-pro",
      "apiBase": "https://api.llm247.net/v1",
      "apiKey": "YOUR_LLM247_API_KEY"
    },
    {
      "title": "LLM247 MiniMax M3",
      "provider": "openai",
      "model": "minimax-m3",
      "apiBase": "https://api.llm247.net/v1",
      "apiKey": "YOUR_LLM247_API_KEY"
    }
  ]
}

Replace YOUR_LLM247_API_KEY with your actual key from llm247.net/keys.

Step 4: Select Your Model

  1. Open the Continue chat panel
  2. Click the model dropdown at the top
  3. Select one of your configured LLM247 models

Use CaseModelDescription
Code-specialized generation & refactoringkimi-k2.7-codeMoonshot's code-tuned K2.7 — best for code generation and refactoring
Frontier reasoning / refactorsclaude-opus-4.8Anthropic flagship — best code-quality and long-context understanding
Strong general codinggpt-5.5OpenAI's flagship GPT-5 model, 1M context
Cost-balanced codingclaude-sonnet-4.6Strong reasoning at lower cost than Opus
General coding assistancedeepseek-v4-proOptimized for code tasks
Complex explanationskimi-k2.6Strong reasoning capability
Large file analysisminimax-m3Extended 1M context window
Fast autocompletegemini-3.1-flash-lite or glm-5.1Low latency responses
Cost-effective sessionsgemma-4Lowest-cost active text model in the catalog

Tab Autocomplete Configuration

For tab completions, add a tabAutocompleteModel entry:

{
  "tabAutocompleteModel": {
    "title": "LLM247 Fast",
    "provider": "openai",
    "model": "glm-5.1",
    "apiBase": "https://api.llm247.net/v1",
    "apiKey": "YOUR_LLM247_API_KEY"
  }
}

Troubleshooting

"API key is required" error

  • Ensure apiKey is set in each model configuration
  • Verify the key is valid at llm247.net/keys

No models appear in the dropdown

  • Check that config.json has valid JSON syntax (no trailing commas)
  • Reload the IDE after saving the config file

Slow responses

Connection errors

  • Confirm apiBase is exactly https://api.llm247.net/v1
  • Ensure your network allows HTTPS to api.llm247.net

Notes

  • Continue supports multiple models in the same config — configure as many as you need
  • The provider field must be "openai" for LLM247 compatibility
  • All token usage is logged to your LLM247 dashboard in real-time
  • For JetBrains, the configuration file location is the same as VS Code

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