rag

import { createConfigSchematics } from "@lmstudio/sdk";
import { homedir } from "os";
import { join } from "path";

export const pluginConfigSchematics = createConfigSchematics()
  .field("embeddingModelIdentifier", "string", {
    displayName: "Embedding Model Identifier",
    subtitle: "Identifier of the loaded LM Studio embedding model to use (e.g. 'nomic-embed-text'). Leave blank to use any loaded embedding model.",
  }, "")
  .field("chunkSize", "numeric", {
    int: true, min: 100, max: 8000,
    displayName: "Chunk Size (characters)",
    subtitle: "Maximum characters per text chunk. Smaller = more precise retrieval. Larger = more context per chunk.",
    slider: { min: 100, max: 8000, step: 100 },
  }, 800)
  .field("chunkOverlap", "numeric", {
    int: true, min: 0, max: 500,
    displayName: "Chunk Overlap (characters)",
    subtitle: "How many characters to overlap between adjacent chunks. Helps preserve context at boundaries.",
    slider: { min: 0, max: 500, step: 25 },
  }, 150)
  .field("topK", "numeric", {
    int: true, min: 1, max: 20,
    displayName: "Top K Results",
    subtitle: "Number of chunks to retrieve per query.",
    slider: { min: 1, max: 20, step: 1 },
  }, 5)
  .field("dataPath", "string", {
    displayName: "Data Path",
    subtitle: "Directory where the vector index is stored.",
  }, join(homedir(), "rag-data"))
  .field("autoInject", "boolean", {
    displayName: "Auto-Inject Context",
    subtitle: "Automatically retrieve and inject relevant chunks into the first message of each session.",
  }, true)
  .field("workspacePath", "string", {
    displayName: "Workspace Path",
    subtitle: "Root directory for relative file path lookups. Leave blank to use absolute paths only.",
  }, "")
  .field("maxFileSizeMb", "numeric", {
    int: true, min: 1, max: 500,
    displayName: "Max File Size (MB)",
    subtitle: "Files larger than this are rejected before parsing.",
    slider: { min: 1, max: 500, step: 5 },
  }, 50)
  .build();