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

export const configSchematics = createConfigSchematics()
  .field(
    "modelKey",
    "string",
    {
      displayName: "Model Key",
      subtitle:
        "The key of the local model to guard. Leave empty to use the currently loaded model.",
    },
    "",
  )
  .field(
    "temperature",
    "numeric",
    {
      displayName: "Temperature",
      min: 0,
      step: 0.01,
      slider: { min: 0, max: 2, step: 0.01 },
      precision: 2,
      shortHand: "temp",
    },
    0.8,
  )
  .field(
    "repetitionThreshold",
    "numeric",
    {
      displayName: "Reliabile detection threshold (%)",
      subtitle:
        "The trigger threshold is expressed as a percentage of the measured distance. The 100% range ensures maximum detection reliability, two passes corresponds to 100% (1.0)",
      min: 0.1,
      max: 2.4,
      step: 0.05,
      slider: { min: 0, max: 2.5, step: 0.05 },
      precision: 1,
      shortHand: "repThresh",
    },
    1.0, // По умолчанию требуем, чтобы повторилось 100% от длины петли
  )
  // Z-function detector config fields
  .field(
    "checkInterval",
    "numeric",
    {
      displayName: "Check Interval",
      subtitle:
        "How often (in normalized chars) to run the Z-function check. Higher = cheaper but less sensitive. set 1 is normal",
      min: 1,
      step: 1,
      slider: { min: 1, max: 16, step: 1 },
      precision: 0,
      shortHand: "checkInt",
    },
    32,   // default
  )
  .field(
    "maxTextLength",
    "numeric",
    {
      displayName: "Max Text Length",
      subtitle:
        "Maximum length of normalized text to keep for the Z-function check (prevents unbounded growth).",
      min: 100,
      step: 100,
      slider: { min: 100, max: 50000, step: 100 },
      precision: 0,
      shortHand: "maxLen",
    },
    20000,   // default
  )
  .field(
    "monitorReasoning",
    "boolean",
    {
      displayName: "Guard Thinking Stream",
      subtitle: "Also detect loops inside the reasoning/thinking text of reasoning models.",
    },
    true,
  )
  .field(
    "monitorContent",
    "boolean",
    {
      displayName: "Guard Answer Stream",
      subtitle: "Detect loops in the visible answer text.",
    },
    true,
  )
  .field(
    "notifyOnStop",
    "boolean",
    {
      displayName: "Notify On Stop",
      subtitle: "Append a short note to the answer when a loop is cut off. Sometime causes warning in log when ON.",
    },
    true,
  )
  .build();

export const globalConfigSchematics = createConfigSchematics()
  .field(
    "baseUrl",
    "string",
    {
      displayName: "LM Studio Base URL",
      placeholder: "e.g. ws://127.0.0.1:1234",
      subtitle: "Local LM Studio instance providing the guarded model.",
    },
    "ws://127.0.0.1:1234",
  )
  .field(
    "clientIdentifier",
    "string",
    {
      displayName: "Client Identifier",
      subtitle: "Leave empty for auto generation.",
      placeholder: "<Random>",
    },
    "",
  )
  .field(
    "clientPasskey",
    "string",
    {
      displayName: "Client Passkey",
      subtitle: "Leave empty for auto generation.",
      placeholder: "<Random>",
      isProtected: true,
    },
    "",
  )
  .build();

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

export const configSchematics = createConfigSchematics()
  .field(
    "modelKey",
    "string",
    {
      displayName: "Model Key",
      subtitle:
        "The key of the local model to guard. Leave empty to use the currently loaded model.",
    },
    "",
  )
  .field(
    "temperature",
    "numeric",
    {
      displayName: "Temperature",
      min: 0,
      step: 0.01,
      slider: { min: 0, max: 2, step: 0.01 },
      precision: 2,
      shortHand: "temp",
    },
    0.8,
  )
  .field(
    "repetitionThreshold",
    "numeric",
    {
      displayName: "Reliabile detection threshold (%)",
      subtitle:
        "The trigger threshold is expressed as a percentage of the measured distance. The 100% range ensures maximum detection reliability, two passes corresponds to 100% (1.0)",
      min: 0.1,
      max: 2.4,
      step: 0.05,
      slider: { min: 0, max: 2.5, step: 0.05 },
      precision: 1,
      shortHand: "repThresh",
    },
    1.0, // По умолчанию требуем, чтобы повторилось 100% от длины петли
  )
  // Z-function detector config fields
  .field(
    "checkInterval",
    "numeric",
    {
      displayName: "Check Interval",
      subtitle:
        "How often (in normalized chars) to run the Z-function check. Higher = cheaper but less sensitive. set 1 is normal",
      min: 1,
      step: 1,
      slider: { min: 1, max: 16, step: 1 },
      precision: 0,
      shortHand: "checkInt",
    },
    32,   // default
  )
  .field(
    "maxTextLength",
    "numeric",
    {
      displayName: "Max Text Length",
      subtitle:
        "Maximum length of normalized text to keep for the Z-function check (prevents unbounded growth).",
      min: 100,
      step: 100,
      slider: { min: 100, max: 50000, step: 100 },
      precision: 0,
      shortHand: "maxLen",
    },
    20000,   // default
  )
  .field(
    "monitorReasoning",
    "boolean",
    {
      displayName: "Guard Thinking Stream",
      subtitle: "Also detect loops inside the reasoning/thinking text of reasoning models.",
    },
    true,
  )
  .field(
    "monitorContent",
    "boolean",
    {
      displayName: "Guard Answer Stream",
      subtitle: "Detect loops in the visible answer text.",
    },
    true,
  )
  .field(
    "notifyOnStop",
    "boolean",
    {
      displayName: "Notify On Stop",
      subtitle: "Append a short note to the answer when a loop is cut off. Sometime causes warning in log when ON.",
    },
    true,
  )
  .build();

export const globalConfigSchematics = createConfigSchematics()
  .field(
    "baseUrl",
    "string",
    {
      displayName: "LM Studio Base URL",
      placeholder: "e.g. ws://127.0.0.1:1234",
      subtitle: "Local LM Studio instance providing the guarded model.",
    },
    "ws://127.0.0.1:1234",
  )
  .field(
    "clientIdentifier",
    "string",
    {
      displayName: "Client Identifier",
      subtitle: "Leave empty for auto generation.",
      placeholder: "<Random>",
    },
    "",
  )
  .field(
    "clientPasskey",
    "string",
    {
      displayName: "Client Passkey",
      subtitle: "Leave empty for auto generation.",
      placeholder: "<Random>",
      isProtected: true,
    },
    "",
  )
  .build();