openai-compat-endpoint

// src/presets.ts
import * as fs from "fs";
import * as path from "path";

export interface PresetInfo {
  name: string;
  systemPrompt: string;
}

const PRESETS_DIR = path.join(process.env.HOME || "/Users/" + (typeof process !== "undefined" ? process.env.USER : "Unknown"), ".cache/lm-studio/config-presets");

function detectPresetsDir(): string {
  if (process.env.HOME) {
    return path.join(process.env.HOME, ".cache/lm-studio/config-presets");
  }
  const paths = [
    path.join("/Users", "knishika", ".cache/lm-studio/config-presets"),
  ];
  for (const p of paths) {
    if (fs.existsSync(p)) return p;
  }
  return paths[0];
}

export function loadPresets(): PresetInfo[] {
  const dir = detectPresetsDir();
  try {
    if (!fs.existsSync(dir)) {
      return [];
    }
    const files = fs.readdirSync(dir).filter(f => f.endsWith(".preset.json"));
    const presets: PresetInfo[] = [];
    for (const file of files) {
      try {
        const data = JSON.parse(fs.readFileSync(path.join(dir, file), "utf8"));
        const spField = data?.operation?.fields?.find((f: any) => f.key === "llm.prediction.systemPrompt");
        if (data.name && spField !== undefined) {
          presets.push({
            name: data.name,
            systemPrompt: spField.value || "",
          });
        }
      } catch {
        // Skip invalid JSON files
      }
    }
    return presets.sort((a, b) => a.name.localeCompare(b.name));
  } catch {
    return [];
  }
}

export function loadPresetByName(name: string): PresetInfo | null {
  const presets = loadPresets();
  return presets.find(p => p.name === name) ?? null;
}