xLAM vs llm-router
xLAM: xLAM is a research repository for Large Action Models (LAMs), which aggregates and unifies agent trajectories from diverse environments into a consistent format. It streamlines the creation of a generic data loader optimized for agent training, enabling robust model development across various scenarios.; llm-router: LLM Router is an MCP server and hook set that intercepts prompts and routes them to the cheapest model that can handle the task, saving 60-80% on costs. It works with Claude Code, VS Code, Cursor, and many other AI coding tools, automatically offloading simple tasks to cheaper models while reserving premium models for complex work.
TL;DR
Function calling in LLMs
Automatically route simple queries to free/cheap models in AI coding assistants
Side-by-Side Comparison
Features
Use Cases
FAQ
Deploy on DigitalOcean
Host your MCP servers, Docker containers, and AI agents with $200 free credit over 60 days.