LLM Gateway
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Cursor Integration

Use LLM Gateway with Cursor IDE — plan mode and agent mode both route through the gateway. Tab autocomplete and inline edit stay on Cursor's backend.

Cursor is an AI-powered code editor built on VSCode. You can point Cursor's custom OpenAI base URL at LLM Gateway to use any of our 200+ models in the AI panel — both plan mode and agent mode.

Plan and agent mode. Cursor routes its AI panel — plan mode and agent mode — through the custom API key + base URL, so both work with LLM Gateway. Tab autocomplete and inline edit (Cmd/Ctrl + K) remain locked to Cursor's own backend and will not route through the gateway. If you want every request in your workflow to go through LLM Gateway, use a terminal agent like Claude Code, Codex CLI, Cline, Continue CLI, or Hermes Agent.

Cursor with LLM Gateway

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.

Get Your API Key

  1. Log in to your LLM Gateway dashboard
  2. Navigate to API Keys section
  3. Create a new API key and copy the key

LLM Gateway API Keys

Configure Cursor Settings

  1. Open Cursor and go to Settings then Click on "Cursor Settings"
  2. Click on "Models"
  3. Click on "Add OpenAI API Key"

Cursor Settings

  1. Scroll down to OpenAI API Key section
  2. Click on Add OpenAI API Key

Cursor API Key Input

  1. Enter your LLM Gateway API key

  2. In the same Models settings, find the Override OpenAI Base URL option

  3. Enable the override option

  4. Enter the LLM Gateway endpoint: https://api.llmgateway.io/v1

Select Models

  1. In the Models section, you can now select from available models
  2. Choose any LLM Gateway supported model:

Cursor Model Selection

  • For chat: Use models like gpt-5, gpt-4o, claude-sonnet-4-5
  • For custom models: Add the provider name before the model name (e.g. custom/my-model)
  • For discounted models: copy the ids from from the models page
  • For free models: copy the ids from from the models page
  • For reasoning models: copy the ids from from the models page

Test the Integration

  1. Open any code file in Cursor
  2. Try using the AI chat (Cmd/Ctrl + L) in plan mode
  3. Then switch the panel to agent mode and run a small multi-file task

Cursor AI Chat Cursor AI Chat 2

All AI requests will now be routed through LLM Gateway.

What Works (and What Doesn't)

Cursor honors the custom OpenAI base URL for the AI panel (Cmd/Ctrl + L) — both plan mode and agent mode. Tab autocomplete and inline edit still use Cursor's own backend, even after you save the LLM Gateway key.

Works through LLM Gateway

  • Plan mode (Cmd/Ctrl + L) — Ask questions, plan changes, get explanations, debug.
  • Agent mode — Cursor's coding agent runs multi-file edits with your gateway models.

All of these requests route through LLM Gateway and appear in your dashboard.

Does NOT work through LLM Gateway

  • Inline Edit (Cmd/Ctrl + K) — Locked to Cursor's backend.
  • Autocomplete / Tab completion — Locked to Cursor's backend.

If you want every request in your workflow — including edits and completions — to route through LLM Gateway, use Claude Code, Codex CLI, Cline, Continue CLI, or Hermes Agent.

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
  • Switch to a faster chat model from the models page

Autocomplete / inline edit still uses Cursor's models

This is expected. Cursor routes the AI panel — plan mode and agent mode — through the custom API key, but tab autocomplete and inline edit are locked to Cursor's own backend. See What Works (and What Doesn't) above.

Need help? Join our Discord community for support and troubleshooting assistance.

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

How is this guide?

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Continue CLI Integration

Use any model with Continue CLI through LLM Gateway. One config file, 200+ models, full cost tracking.

DevPass Code

DevPass Code is a terminal coding agent that talks only to LLM Gateway. One-click browser login, ~190 models, and DevPass subscription billing handled automatically.

On this page

PrerequisitesSetupGet Your API KeyConfigure Cursor SettingsSelect ModelsTest the IntegrationWhat Works (and What Doesn't)Works through LLM GatewayDoes NOT work through LLM GatewayModel RoutingTroubleshootingAuthentication ErrorsModel Not FoundSlow ResponsesAutocomplete / inline edit still uses Cursor's modelsBenefits of Using LLM Gateway with Cursor
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