summary-chat

// src/config.ts
import { createConfigSchematics } from "@lmstudio/sdk";
import * as path from "path";

export const configSchematics = createConfigSchematics()
  .field(
    "model",
    "string",
    {
      displayName: "Model-name",
      subtitle: "LLM AI model ID (for summary generation). Not yet ",
      placeholder: "enter model name"
    },
    "qwen3.5-9b-sushi-coder-rl"  // dummy - not used yet anyway
  )
//  .field(
//    "thinking",
///    "string",
//    {
//      displayName: "Think or no_think",
//      description: "Selects the type of thinking for the AI.",
//      options: [
//        { displayName: "Think", value: "<think>" },
//        { displayName: "No think", value: "/no_think" },
//      ],
//    },
//    "/no_think"
//  )
  .field(
    "addedPath",
    "string",
    {
      displayName: "add that subpath to Base Path of LMS",
      subtitle: 
        "Path to conversation dir, default/extraPath. Leave empty if not use sub dirs. w/o slash",
      placeholder: ""
    },
    ""  // empty: Пустое значение — плагин сам определит путь
  )
    .field(
    "allTerms",
    "string",
    {
      displayName: "all Summary Terms with separator ;",
      subtitle: 
        "List of words/terms for activating Summary func. All of them are triggers to call Summary of the chat with name as a string after it.",
      placeholder: "enter something;---;合計;$$$;;;list of terms"
    },
    "summa:"  // summa: default command for 1st time with empty field
  )
  .build();

//.