import { createConfigSchematics } from "@lmstudio/sdk";

export const configSchematics = createConfigSchematics()
  .field(
    "alwaysRedact",
    "stringArray",
    {
      displayName: "Always-redact terms",
      hint: "Strings that should be redacted in every call (e.g. your name, your address, an employer name, project codenames). Each term is matched literally and replaced with [CUSTOM_N].",
    },
    [],
  )
  .field(
    "piiServiceNodePath",
    "string",
    {
      displayName: "Path to system `node` binary (for PII model service)",
      hint: "When the ML PII layer is enabled, the plugin auto-spawns a small Node service that runs the model. It needs a SYSTEM node (not LM Studio's bundled node, which has strict library validation). Leave empty to auto-detect (Homebrew, nvm, /usr/bin). Set explicitly if auto-detect fails.",
    },
    "",
  )
  .field(
    "detectInternationalPhones",
    "boolean",
    {
      displayName: "Detect international phone numbers",
      hint: "When enabled, also redact +CC… style international phone numbers (any country, not just France). Off by default — French-only detection is more precise.",
    },
    false,
  )
  .field(
    "detectPiiWithModel",
    "select",
    {
      displayName: "ML detection (names, dates, addresses)",
      hint: "On = run an auxiliary multilingual XLM-RoBERTa NER model alongside the regex detectors. The model runs in a small auto-spawned local Node service (~1 GB download on first run, then cached). Requires a system `node` binary outside LM Studio's signed runtime — auto-detected from PATH/Homebrew/nvm. If detection fails, the tool returns the regex result with an explicit `ml_error` field.",
      options: [
        { value: "off", displayName: "Off — regex + checksums only" },
        { value: "on", displayName: "On — regex + ML model" },
      ],
    },
    "off",
  )
  .field(
    "modelDetectNames",
    "boolean",
    {
      displayName: "  · Names → [NOM_N]",
      hint: "Detect GIVENNAME/SURNAME from the model. Complements names passed by the host LLM via the `names` argument.",
    },
    true,
  )
  .field(
    "modelDetectAddresses",
    "boolean",
    {
      displayName: "  · Addresses → [ADDRESS_N]",
      hint: "Detect STREET, CITY, STATE, COUNTRY, BUILDINGNUM, ZIPCODE from the model. Introduces a new ADDRESS pseudonym type.",
    },
    false,
  )
  .field(
    "modelDetectDates",
    "boolean",
    {
      displayName: "  · Dates → [DATE_N]",
      hint: "Detect DATE and TIME from the model. Introduces a new DATE pseudonym type. Risk of over-redaction (any date in the text gets caught).",
    },
    false,
  )
  .field(
    "modelDetectIdDocs",
    "boolean",
    {
      displayName: "  · ID documents → [IDDOC_N]",
      hint: "Detect PASSPORTNUM, DRIVERLICENSENUM, IDCARDNUM from the model. Introduces a new IDDOC pseudonym type.",
    },
    false,
  )
  .build();

import { createConfigSchematics } from "@lmstudio/sdk";

export const configSchematics = createConfigSchematics()
  .field(
    "alwaysRedact",
    "stringArray",
    {
      displayName: "Always-redact terms",
      hint: "Strings that should be redacted in every call (e.g. your name, your address, an employer name, project codenames). Each term is matched literally and replaced with [CUSTOM_N].",
    },
    [],
  )
  .field(
    "piiServiceNodePath",
    "string",
    {
      displayName: "Path to system `node` binary (for PII model service)",
      hint: "When the ML PII layer is enabled, the plugin auto-spawns a small Node service that runs the model. It needs a SYSTEM node (not LM Studio's bundled node, which has strict library validation). Leave empty to auto-detect (Homebrew, nvm, /usr/bin). Set explicitly if auto-detect fails.",
    },
    "",
  )
  .field(
    "detectInternationalPhones",
    "boolean",
    {
      displayName: "Detect international phone numbers",
      hint: "When enabled, also redact +CC… style international phone numbers (any country, not just France). Off by default — French-only detection is more precise.",
    },
    false,
  )
  .field(
    "detectPiiWithModel",
    "select",
    {
      displayName: "ML detection (names, dates, addresses)",
      hint: "On = run an auxiliary multilingual XLM-RoBERTa NER model alongside the regex detectors. The model runs in a small auto-spawned local Node service (~1 GB download on first run, then cached). Requires a system `node` binary outside LM Studio's signed runtime — auto-detected from PATH/Homebrew/nvm. If detection fails, the tool returns the regex result with an explicit `ml_error` field.",
      options: [
        { value: "off", displayName: "Off — regex + checksums only" },
        { value: "on", displayName: "On — regex + ML model" },
      ],
    },
    "off",
  )
  .field(
    "modelDetectNames",
    "boolean",
    {
      displayName: "  · Names → [NOM_N]",
      hint: "Detect GIVENNAME/SURNAME from the model. Complements names passed by the host LLM via the `names` argument.",
    },
    true,
  )
  .field(
    "modelDetectAddresses",
    "boolean",
    {
      displayName: "  · Addresses → [ADDRESS_N]",
      hint: "Detect STREET, CITY, STATE, COUNTRY, BUILDINGNUM, ZIPCODE from the model. Introduces a new ADDRESS pseudonym type.",
    },
    false,
  )
  .field(
    "modelDetectDates",
    "boolean",
    {
      displayName: "  · Dates → [DATE_N]",
      hint: "Detect DATE and TIME from the model. Introduces a new DATE pseudonym type. Risk of over-redaction (any date in the text gets caught).",
    },
    false,
  )
  .field(
    "modelDetectIdDocs",
    "boolean",
    {
      displayName: "  · ID documents → [IDDOC_N]",
      hint: "Detect PASSPORTNUM, DRIVERLICENSENUM, IDCARDNUM from the model. Introduces a new IDDOC pseudonym type.",
    },
    false,
  )
  .build();