LLM Router FAQs

Question 1

What is LLM Router?

Accepted Answer

LLM Router is an intelligent dispatcher that automatically routes your prompts to the best large language model (LLM) among Claude, Gemini, and GPT-4o for each specific task type, optimizing for both cost and output quality.

Question 2

Can LLM Router handle multi-turn conversations?

Accepted Answer

Yes, it includes session-aware context caching, ensuring that conversation history is maintained across multiple turns within the same session. This enables seamless, multi-step workflows without losing context.

Question 3

Which large language models (LLMs) does LLM Router support?

Accepted Answer

It offers out-of-the-box integration with the leading frontier models: Claude (Anthropic), Gemini (Google), and GPT-4o (OpenAI), providing a diverse range of AI capabilities for different workloads.

Question 4

How does LLM Router help reduce token costs?

Accepted Answer

By analyzing the intent of your prompt (e.g., planning, code generation, testing), it intelligently selects the most cost-effective and capable LLM for that exact task, preventing the unnecessary use of more expensive models.

Question 5

How can developers integrate LLM Router into their workflow?

Accepted Answer

Built as a Model Context Protocol (MCP) server, it easily integrates with developer tools like VS Code Continue and Cursor. It also offers a mock mode for local testing without API keys and explicit tool shortcuts for direct model routing.

LLM Router

Key Features

Use Cases

LLM Router

Key Features

Use Cases