
How To Build a Hybrid AI System with Any-LLM (ft Nathan Brake)
From Tool Use - AI Conversations by Mike Bird
March 3, 2026 · 44 min · Episode 81
About this episode
This episode features Nathan Brake discussing the Any-LLM platform and its applications in optimizing AI with open-source models.
Join the Tool Use Discord: https://discord.gg/PnEGyXpjaX Are you looking to optimize your AI applications with the best open source Large Language Models? This week, we explore open source AI, rapid model switching, and local self-hosting with Nathan Break, a Machine Learning Engineer at Mozilla AI and the creator of Any-LLM. Any-LLM is an open-source Python SDK that allows developers to seamlessly talk to any LLM provider through a single, unified interface. Nathan demonstrates how developers can instantly swap between cloud-hosted AI providers and local models like Llamafile by changing just a single line of code. We dive into the growing capabilities of smaller, cost-effective models, how to reduce your API expenses, and the security benefits of running local AI on your own hardware. Nathan also introduces the Any-LLM Platform, a secure vault for managing API keys that tracks your token usage and enforces budget limits without ever accessing your prompt data. Finally, we check out Porch Songs, Nathan's open-source application that leverages LLMs to rewrite the lyrics of popular songs while maintaining their original rhyme schemes and chord charts. Check out the projects…
People in this episode
Host: Mike Bird
Guest: Nathan Brake
Topics covered
- open source AI
- Large Language Models
- model switching
- local self-hosting
- API management
Keywords
- Any-LLM
- open source AI
- Large Language Models
- API management
- local models
Mentioned in this episode
Organizations: Mozilla AI
Products: Any-LLM, Llamafile, Porch Songs
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