aicentosLM Studio
LM Studio is a local inference server rather than a client — its correct role and what to do instead
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LM Studio is often mistaken for yet another chat client, but the direction is the other way round: it is a local model runner that exposes an OpenAI-compatible endpoint (by default http://localhost:1234/v1) for others to connect to. It has no place to enter a remote Base URL, so it cannot be connected to aicentos as a client.
Why it cannot connect directly
- Its official positioning is
Serve local models on OpenAI-like endpoints: a server role, not a consumer. - Neither the desktop app nor the
lmsCLI has an endpoint setting for third-party providers. - Its cloud features (LM Studio Secure Cloud, LM Link) are officially hosted compute channels and do not accept custom third-party endpoints.
Configuration to fill in
| Field | Value |
|---|---|
| API Key | The key created in the console |
| Base URL | https://aicentos.com/v1 |
| Model | A model name from the Model Gallery in the console |
The table above lists the generic aicentos-side parameters, for use with the alternatives below.
Alternatives
Alternative 1: Use it the other way round — let clients connect to LM Studio
If you want to run local models, keep LM Studio as the server and set the Base URL in Cherry Studio, Chatbox, and Cline to http://localhost:1234/v1. This path has nothing to do with aicentos, but it is the correct way to use LM Studio.
Alternative 2: Want aicentos models? Change the front end
Cherry Studio, Chatbox, and LobeChat are all desktop chat clients that support several providers side by side: one entry for aicentos, one for the local LM Studio, switched in the same interface.
Alternative 3: Mix local and cloud
With a client such as Cherry Studio, mount both providers at once: send simple tasks to the local one and complex tasks to aicentos, switching as needed.
Test
When LM Studio is the server, first run lms server start, then use curl http://localhost:1234/v1/models to confirm the endpoint is alive, and then send one prompt in the client.
Notes
- Do not look for a Base URL input box in LM Studio; it only shows the address it listens on.
- Local model context and speed are limited by the machine's VRAM; for long-context tasks, prefer aicentos.
- Do not confuse the two directions: the server fills in a port, the client fills in an endpoint.