Local AI networking

Use an Android phone as a local AI server

A phone can do more than host a chat UI. When an app exposes a local API, other devices on the same network can send requests to the phone and use its model for inference.

What an OpenAI-compatible API means

Many developer tools already know how to call endpoints such as /v1/chat/completions. An OpenAI-compatible API uses a familiar request and response shape, which can let compatible clients connect without being built specifically for one Android app. Compatibility is not universal: clients may rely on extra endpoints or features that a server does not implement.

How the network path works

Load a supported local model on the Android device.
Enable the app's local server feature, if available.
Connect the client computer and phone to the same trusted Wi-Fi network.
Configure the client with the phone's LAN address, port and API path shown by the server.
Send a small test prompt before using a larger context or longer generation.

Security basics

A service bound to a network interface can be reachable by other devices on that network. Use a trusted network, avoid exposing an unauthenticated endpoint to the public internet, and disable the server when you do not need it. A tunnel can make a service reachable from outside your LAN, but it also expands the attack surface and should not be enabled casually.

Performance limitations

The phone's RAM, thermals, GPU/NPU support, battery and model size all affect throughput. A LAN API does not make inference faster by itself; it only lets another client submit work to the device. Keep the context modest and test on the hardware you intend to use.

How Snor fits

Snor can expose an OpenAI-compatible /v1/chat/completions endpoint over the local network for supported LiteRT-LM models. The feature is useful when you want a phone to act as a small local inference host for compatible tools, without routing those requests through a hosted AI provider.

Get Snor from the latest releases