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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. Default endpoints:
  • Chat API: http://127.0.0.1:1234/v1
  • Model discovery: http://127.0.0.1:1234/api/v1/models

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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.

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Finding the model key

Ask LM Studio for its model list: 
curl http://127.0.0.1:1234/api/v1/models
Use the returned key or id as the model ID. Fased model refs look like: 
lmstudio/qwen/qwen3.5-9b

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Config shape

{
  models: {
    providers: {
      lmstudio: {
        baseUrl: "http://127.0.0.1:1234/v1",
        api: "openai-completions",
        apiKey: "lmstudio-local",
        request: { allowPrivateNetwork: true },
        models: [
          {
            id: "qwen/qwen3.5-9b",
            name: "qwen/qwen3.5-9b",
            reasoning: false,
            input: ["text"],
            cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 },
            contextWindow: 128000,
            maxTokens: 8192,
          },
        ],
      },
    },
  },
}

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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.