Cursor Integration

Cursor is an AI-powered code editor built on VSCode. You can configure Cursor to use LLM Gateway for enhanced AI capabilities, access to multiple models, and better cost control.

Prerequisites

• An LLM Gateway account with an API key
• Cursor IDE installed
• Basic understanding of Cursor's AI features

Setup

Cursor supports OpenAI-compatible API endpoints, making it easy to integrate with LLM Gateway.

Features

Once configured, you can use all of Cursor's AI features with LLM Gateway:

AI Chat (Cmd/Ctrl + L)

• Ask questions about your code
• Request code explanations
• Get debugging help
• Generate new code

Inline Edit (Cmd/Ctrl + K)

• Edit code with natural language instructions
• Refactor functions
• Add features to existing code

Autocomplete

• Get intelligent code suggestions as you type
• Context-aware completions based on your codebase

Advanced Configuration

Using Different Models for Different Features

Cursor allows you to configure different models for different features:

1. Chat Model: Use a powerful model like gpt-5 or claude-sonnet-4-5
2. Autocomplete Model: Use a faster, cost-effective model like gpt-4o-mini
3. Provider Specific Model: Use a provider specific model like openai/gpt-5, anthropic/claude-sonnet-4-5, google/gemini-2.0-flash-exp
4. Custom Model: Use a custom model like custom/my-model
5. Discounted Model: Use a discounted model like routeway-discount/claude-sonnet-4-5
6. Free Model: Use a free model like routeway/deepseek-r1t2-chimera-free
7. Reasoning Model: Use a reasoning model like canopywave/kimi-k2-thinking with 75% off discount

This gives you the best balance of performance and cost.

Model Routing

With LLM Gateway's routing features, you can:

• Chooses cost-effective models by default for optimal price-to-performance ratio
• Automatically scales to more powerful models based on your request's context size
• Handles large contexts intelligently by selecting models with appropriate context windows

Troubleshooting

Authentication Errors

If you see authentication errors:

• Verify your API key is correct
• Check that the base URL is set to https://api.llmgateway.io/v1
• Ensure your LLM Gateway account has sufficient credits

Model Not Found

If you see "model not found" errors:

• Verify the model ID exists in the models page
• Check that you're using the correct model name format
• Some models may require specific provider configurations in your LLM Gateway dashboard

Slow Responses

If responses are slow:

• Check your internet connection
• Monitor your usage in the LLM Gateway dashboard
• Consider using faster models for autocomplete features

Benefits of Using LLM Gateway with Cursor

• Multi-Provider Access: Use models from OpenAI, Anthropic, Google, Open-source models and more
• Cost Control: Track and limit your AI spending with detailed usage analytics
• Caching: Reduce costs with response caching
• Analytics: Monitor usage patterns and costs