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LM Studio

LM Studio is a first-class Agent > Models provider for local open-weight models. Fased talks to LM Studio through its OpenAI-compatible chat endpoint and discovers models from the LM Studio local model API. Fased does not install LM Studio and does not download its model weights. Run LM Studio separately, then connect its local API from Agent > Models. Default endpoints:
  • Chat API: http://127.0.0.1:1234/v1
  • Model discovery: http://127.0.0.1:1234/api/v1/models

Quick start

  1. Install LM Studio and start the local server.
  2. Load or download a model in LM Studio.
  3. Open Agents > selected Agent > Models > LM Studio.
  4. Enter http://127.0.0.1:1234/v1, the model key, and optional API token.
  5. Assign the model to the Agent’s primary/fallback/task roles.
If LM Studio auth is disabled, leave the token blank. Fased stores a local non-secret marker so the provider can be registered.

Finding the model key

Ask LM Studio for its model list:
Use the returned key or id as the model ID. Fased model refs look like:

Config shape

Security

LM Studio is treated as a private-network provider by default. Keep it on localhost or a trusted tailnet/LAN host. If you enable LM Studio API authentication, save the token in Agent > Models or expose it through LM_API_TOKEN.