Intent Router

Faster ResponsesEquip your AI with only the tools it needs for each request. No more processing irrelevant actions.

Cheaper InferenceStop paying for unnecessary tokens. Intent Router eliminates redundant tool processing.

Break Free from Large ModelsAchieve the same tool-using capabilities with smaller, faster models that you can run anywhere.

The Problem

Every tool you give your LLM makes it slower and more expensive, as it processes every possible action for each user request – wasting tokens, time, and money. As you scale, the problem only worsens.

The Solution

Intent Router instantly understands what users want and provides only the relevant tools to your AI. It's like having a smart traffic controller managing your AI actions.

Matching actions to user input

Examples

32 available actions Total 1381 tokens

Each AI tool requires its own detailed instructions (schemas). Without intent routing, every request to an LLM processes all tool schemas—using 1,381 tokens each time.

Try a request to see how intent routing reduces overhead by only choosing the most relevant tools.

Develop Dynamically, Build for Production

In Intent Router's development mode, you can dynamically define tools (and schemas) just as you would when building an LLM with tool calling. But when you're ready to deploy, we make it possible to train a significantly smaller, production-ready router model that can run almost anywhere. Think of it as compiling your code for production.

Use Cases

Route to AI Agents that have their own Intent Router

Direct user requests to the most appropriate AI agent based on the user's intent. Each agent can employ their own Intent Router.

Intent Router as a LLM Tool

Describe your Intent Router actions within your LLM tool calling. Your LLM then calls Intent Router with appropriate version of user input and Intent Router handles the rest.

Build an Intentface for Your SaaS

Create an intent-driven interface for your SaaS, empowering users to interact with your software using natural language, essentially making your software an AI Expert (Software as an Expert).