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:
- Open the Extensions marketplace (
Cmd+Shift+X) - Search for Continue
- Click Install
JetBrains (IntelliJ, PyCharm, WebStorm, etc.):
- Open Settings → Plugins
- Search for Continue in the Marketplace
- Click Install and restart the IDE
Step 2: Open the Config File
Continue stores its configuration in a JSON file:
| OS | Path |
|---|---|
| macOS / Linux | ~/.continue/config.json |
| Windows | %USERPROFILE%\.continue\config.json |
You can also open it from Continue's sidebar: click the gear icon → Edit 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
- Open the Continue chat panel
- Click the model dropdown at the top
- Select one of your configured LLM247 models
Recommended Models for Continue
| Use Case | Model | Description |
|---|---|---|
| Code-specialized generation & refactoring | kimi-k2.7-code | Moonshot's code-tuned K2.7 — best for code generation and refactoring |
| Frontier reasoning / refactors | claude-opus-4.8 | Anthropic flagship — best code-quality and long-context understanding |
| Strong general coding | gpt-5.5 | OpenAI's flagship GPT-5 model, 1M context |
| Cost-balanced coding | claude-sonnet-4.6 | Strong reasoning at lower cost than Opus |
| General coding assistance | deepseek-v4-pro | Optimized for code tasks |
| Complex explanations | kimi-k2.6 | Strong reasoning capability |
| Large file analysis | minimax-m3 | Extended 1M context window |
| Fast autocomplete | gemini-3.1-flash-lite or glm-5.1 | Low latency responses |
| Cost-effective sessions | gemma-4 | Lowest-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
apiKeyis set in each model configuration - Verify the key is valid at llm247.net/keys
No models appear in the dropdown
- Check that
config.jsonhas valid JSON syntax (no trailing commas) - Reload the IDE after saving the config file
Slow responses
- Use
glm-5.1for faster responses - Check your balance at llm247.net/billing
Connection errors
- Confirm
apiBaseis exactlyhttps://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
providerfield 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