Documentation Index
Fetch the complete documentation index at:https://docs.llmrouter.app/llms.txt Use this file to discover all available models, tags, and features before exploring further.
Goose Integration
Goose is a powerful AI agent tool that works in both local and desktop environments. It provides a clean CLI interface and supports the MCP (Model Context Protocol) to connect with external tools and APIs, enabling automation of complex engineering tasks like code generation, debugging, testing, and deployment. Connecting Goose to LLM Router gives you access to intelligent tag-based routing, automatic Skill injection, context optimization, Zero Data Retention (ZDR), and better cost control.Step 1: Installing Goose Desktop
- Visit the official Goose documentation: Goose Quickstart.
- Download the installer for your operating system and complete the setup for Goose Desktop.
Step 2: Creating a New Provider
- Open the Goose Desktop application.
- In the left-hand menu, click “Create New Provider”.
- Follow the prompts to create a new provider.
Step 3: Configure LLM Router (Anthropic Compatible)
- During provider setup, select Anthropic Compatible.
-
Fill in the following configuration:
- Base URL:
https://api.llmrouter.app/v1 - API Key: Your LLM Router API key (
sk_llmr_...) - Model: Enter any supported model, for example:
anthropic/claude-opus-4.6anthropic/claude-sonnet-4.6openai/gpt-5.4google/gemini-3.1-proxai/grok-4.20
- Base URL:
- Save the provider configuration.
Step 4: Switching Models
- Return to the main Goose Desktop interface.
- Click “Switch Models” at the bottom of the screen.
- Select the newly created LLM Router provider from the dropdown.
- Confirm that the model has been successfully switched.
Step 5: Start Using Goose with LLM Router
Once the provider is active, you can begin interacting with Goose.Enter your requests naturally — Goose will use the LLM Router model to assist with code generation, debugging, refactoring, testing, and more.
Tip: For optimal performance, configure your routing rules, tags (e.g.
coding, testing, ui design), Skills, and Zero Data Retention (ZDR) directly in the LLM Router Dashboard. These settings will apply automatically to all requests from Goose.