Function checkModels

Parameters

• settings: {
      chat: {
          apiKeyEnv?: string;
          baseURL: string;
          model: string;
          provider: "openai-compatible" | "gateway";
          reasoning: "none" | "default";
          replyShape: "server" | "prompt";
      };
      embed: {
          apiKeyEnv?: string;
          baseURL: string;
          model: string;
          provider: "openai-compatible"
          | "gateway";
      };
      sendOutAllowed: boolean;
  }

  • chat: {
        apiKeyEnv?: string;
        baseURL: string;
        model: string;
        provider: "openai-compatible" | "gateway";
        reasoning: "none" | "default";
        replyShape: "server" | "prompt";
    }

    • OptionalapiKeyEnv?: string

      The name of the environment variable that holds the API key. The key itself is never saved.

    • baseURL: string

    • model: string

    • provider: "openai-compatible" | "gateway"

      How Kizuki talks to a model server. openai-compatible: any server that speaks the OpenAI format, such as Ollama and MLX. gateway: Vercel AI Gateway, through the AI SDK's own gateway provider.

    • reasoning: "none" | "default"

      none turns thinking off, which is faster on small local models. default leaves it to the model.

    • replyShape: "server" | "prompt"

      How replies are kept in the right shape. server: the server enforces it (Ollama, OpenAI). prompt: Kizuki describes the shape in the prompt and checks the reply itself, for servers that ignore it (MLX).

  • embed: {
        apiKeyEnv?: string;
        baseURL: string;
        model: string;
        provider: "openai-compatible" | "gateway";
    }

    • OptionalapiKeyEnv?: string

    • baseURL: string

    • model: string

    • provider: "openai-compatible" | "gateway"

      How Kizuki talks to a model server. openai-compatible: any server that speaks the OpenAI format, such as Ollama and MLX. gateway: Vercel AI Gateway, through the AI SDK's own gateway provider.

  • sendOutAllowed: boolean

    True once you agreed to send your material to a model off this computer. Settings that send it out can't be saved without it.

• env: Env = process.env
• fetchImpl: (input: string | URL | Request, init?: RequestInit) => Promise<Response> = fetch