FreeLLMAPI setup for desktop and coding tools
Learn to install FreeLLMAPI on Windows or Mac, add provider credentials, and connect coding tools through an OpenAI-compatible base URL.
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FreeLLMAPI combines access to providers' free tiers behind one API. This tutorial explains the open source project's routing approach, then walks through its desktop interface and connections to coding tools. The router combines configured provider connections rather than supplying its own models.
The speaker describes encrypted credential storage, usage tracking, and automatic switching when a provider reaches a rate limit or a model becomes unavailable. Although the gateway can be hosted locally or deployed elsewhere, the workflow uses provider endpoints; it does not demonstrate how to run models locally.
Setup covers cloning the repository or downloading a desktop installer. The speaker points to a Windows executable and separate Mac downloads, including an Intel Mac DMG. In the app, users add a provider and supply credentials where required. The demonstration uses one configured provider to test requests in the playground.
For a coding assistant, the tutorial shows integration commands and the option to enter a base URL and API key manually. It also covers model filters and displayed reliability, speed, and intelligence scores. The speaker says video-compatible models appear unavailable at the time of the demonstration. Provider-specific limits remain relevant even when requests share a single API.