Improve custom command (#1942)

* Persist quick command configs

* upgrade langchain and fix gpt-5 in custom command

* Handle thinking in custom command

* code clean up

* Address cursor feedback

esbuild.config.mjs

@@ -2,11 +2,19 @@ import esbuild from "esbuild";
 import svgPlugin from "esbuild-plugin-svg";
 import process from "process";
 import wasmPlugin from "./wasmPlugin.mjs";
+import nodeModuleShim from "./nodeModuleShim.mjs";
 
 const banner = `/*
 THIS IS A GENERATED/BUNDLED FILE BY ESBUILD
 if you want to view the source, please visit the github repository of this plugin
 */
+
+// Polyfill for import.meta in CommonJS context
+if (typeof import_meta === 'undefined') {
+  var import_meta = {
+    url: typeof __filename !== 'undefined' ? 'file://' + __filename : 'file:///obsidian-plugin'
+  };
+}
 `;
 
 const prod = process.argv[2] === "production";
@@ -31,6 +39,14 @@ const context = await esbuild.context({
     "@lezer/common",
     "@lezer/highlight",
     "@lezer/lr",
+    // Node.js built-in modules (available in Electron) - except node:module which we shim
+    "node:fs",
+    "node:path",
+    "node:url",
+    "node:buffer",
+    "node:stream",
+    "node:crypto",
+    "node:async_hooks",
   ],
   format: "cjs",
   target: "es2020",
@@ -38,10 +54,11 @@ const context = await esbuild.context({
   sourcemap: prod ? false : "inline",
   treeShaking: true,
   outfile: "main.js",
-  plugins: [svgPlugin(), wasmPlugin],
+  plugins: [nodeModuleShim, svgPlugin(), wasmPlugin],
   define: {
     global: "window",
     "process.env.NODE_ENV": prod ? '"production"' : '"development"',
+    "import.meta.url": "import_meta.url",
   },
   minify: prod,
 });

nodeModuleShim.mjs

@@ -0,0 +1,37 @@
+// Plugin to provide a shim for node:module in browser/Electron renderer context
+const nodeModuleShim = {
+  name: "node-module-shim",
+  setup(build) {
+    // Intercept node:module imports and provide a shim
+    build.onResolve({ filter: /^node:module$/ }, (args) => {
+      return {
+        path: args.path,
+        namespace: "node-module-shim",
+      };
+    });
+
+    build.onLoad({ filter: /.*/, namespace: "node-module-shim" }, () => {
+      return {
+        contents: `
+// Shim for node:module in Electron/Obsidian environment (CommonJS format)
+module.exports = {
+  createRequire: function(filename) {
+    // In Electron renderer, we can use the global require
+    // Note: filename parameter is ignored (may be undefined from @langchain/community v1.0.0)
+    if (typeof require !== 'undefined') {
+      return require;
+    }
+    // Fallback: return a function that throws a helpful error
+    return function shimmedRequire(id) {
+      throw new Error('Dynamic require of "' + id + '" is not supported in this environment');
+    };
+  }
+};
+`,
+        loader: "js",
+      };
+    });
+  },
+};
+
+export default nodeModuleShim;

package.json

@@ -35,7 +35,7 @@
   },
   "license": "AGPL-3.0",
   "devDependencies": {
-    "@langchain/ollama": "^0.2.0",
+    "@langchain/ollama": "^1.0.0",
     "@tailwindcss/container-queries": "^0.1.1",
     "@testing-library/jest-dom": "^5.16.5",
     "@testing-library/react": "^14.0.0",
@@ -81,18 +81,19 @@
     "@dnd-kit/sortable": "^10.0.0",
     "@dnd-kit/utilities": "^3.2.2",
     "@google/generative-ai": "^0.21.0",
-    "@huggingface/inference": "^2.6.4",
+    "@huggingface/inference": "^4.11.3",
     "@koa/cors": "^5.0.0",
-    "@langchain/anthropic": "^0.3.30",
-    "@langchain/cohere": "^0.3.0",
-    "@langchain/community": "^0.3.22",
-    "@langchain/core": "^0.3.45",
-    "@langchain/deepseek": "^0.0.1",
-    "@langchain/google-genai": "^0.1.6",
-    "@langchain/groq": "^0.1.2",
-    "@langchain/mistralai": "^0.2.0",
-    "@langchain/openai": "^0.6.6",
-    "@langchain/xai": "^0.0.2",
+    "@langchain/anthropic": "^1.0.0",
+    "@langchain/cohere": "^1.0.0",
+    "@langchain/community": "^1.0.0",
+    "@langchain/core": "^1.0.1",
+    "@langchain/deepseek": "^1.0.0",
+    "@langchain/google-genai": "^1.0.0",
+    "@langchain/groq": "^1.0.0",
+    "@langchain/mistralai": "^1.0.0",
+    "@langchain/openai": "^1.0.0",
+    "@langchain/textsplitters": "^1.0.0",
+    "@langchain/xai": "^1.0.0",
     "@lexical/plain-text": "^0.34.0",
     "@lexical/react": "^0.34.0",
     "@lexical/selection": "^0.34.0",
@@ -131,7 +132,7 @@
     "jotai": "^2.10.3",
     "koa": "^2.14.2",
     "koa-proxies": "^0.12.3",
-    "langchain": "^0.3.2",
+    "langchain": "^1.0.1",
     "lexical": "^0.34.0",
     "lodash.debounce": "^4.0.8",
     "lucide-react": "^0.462.0",

src/LLMProviders/chainRunner/AutonomousAgentChainRunner.ts

@@ -10,6 +10,7 @@ import { deriveReadNoteDisplayName, ToolResultFormatter } from "@/tools/ToolResu
 import { ChatMessage, ResponseMetadata, StreamingResult } from "@/types/message";
 import { getMessageRole, withSuppressedTokenWarnings } from "@/utils";
 import { processToolResults } from "@/utils/toolResultUtils";
+import { HumanMessage, AIMessage, BaseMessage } from "@langchain/core/messages";
 import { CopilotPlusChainRunner } from "./CopilotPlusChainRunner";
 import { addChatHistoryToMessages } from "./utils/chatHistoryUtils";
 import {
@@ -773,8 +774,17 @@ ${params}
 
     while (retryCount <= maxRetries) {
       try {
+        // Convert ConversationMessage to LangChain BaseMessage format
+        const langchainMessages: BaseMessage[] = messages.map((msg) => {
+          if (msg.role === "user") {
+            return new HumanMessage(msg.content);
+          } else {
+            return new AIMessage(msg.content);
+          }
+        });
+
         const chatStream = await withSuppressedTokenWarnings(() =>
-          this.chainManager.chatModelManager.getChatModel().stream(messages, {
+          this.chainManager.chatModelManager.getChatModel().stream(langchainMessages, {
             signal: abortController.signal,
           })
         );

src/LLMProviders/chainRunner/utils/ThinkBlockStreamer.ts

@@ -16,17 +16,24 @@ export class ThinkBlockStreamer {
 
   constructor(
     private updateCurrentAiMessage: (message: string) => void,
-    private modelAdapter?: ModelAdapter
+    private modelAdapter?: ModelAdapter,
+    private excludeThinking: boolean = false
   ) {}
 
   private handleClaude37Chunk(content: any[]) {
     let textContent = "";
+    let hasThinkingContent = false;
     for (const item of content) {
       switch (item.type) {
         case "text":
           textContent += item.text;
           break;
         case "thinking":
+          hasThinkingContent = true;
+          // Skip thinking content if excludeThinking is enabled
+          if (this.excludeThinking) {
+            break;
+          }
           if (!this.hasOpenThinkBlock) {
             this.fullResponse += "\n<think>";
             this.hasOpenThinkBlock = true;
@@ -36,13 +43,13 @@ export class ThinkBlockStreamer {
             this.fullResponse += item.thinking;
           }
           this.updateCurrentAiMessage(this.fullResponse);
-          return true; // Indicate we handled a thinking chunk
+          break;
       }
     }
     if (textContent) {
       this.fullResponse += textContent;
     }
-    return false; // No thinking chunk handled
+    return hasThinkingContent;
   }
 
   private handleDeepseekChunk(chunk: any) {
@@ -53,6 +60,10 @@ export class ThinkBlockStreamer {
 
     // Handle deepseek reasoning/thinking content
     if (chunk.additional_kwargs?.reasoning_content) {
+      // Skip thinking content if excludeThinking is enabled
+      if (this.excludeThinking) {
+        return true; // Indicate we handled (but skipped) a thinking chunk
+      }
       if (!this.hasOpenThinkBlock) {
         this.fullResponse += "\n<think>";
         this.hasOpenThinkBlock = true;

src/LLMProviders/chatModelManager.ts

@@ -206,7 +206,7 @@ export default class ChatModelManager {
       },
       [ChatModelProviders.GOOGLE]: {
         apiKey: await getDecryptedKey(customModel.apiKey || settings.googleApiKey),
-        modelName: modelName,
+        model: modelName,
         safetySettings: [
           {
             category: HarmCategory.HARM_CATEGORY_SEXUALLY_EXPLICIT,
@@ -246,7 +246,7 @@ export default class ChatModelManager {
       },
       [ChatModelProviders.GROQ]: {
         apiKey: await getDecryptedKey(customModel.apiKey || settings.groqApiKey),
-        modelName: modelName,
+        model: modelName,
       },
       [ChatModelProviders.OLLAMA]: {
         // ChatOllama has `model` instead of `modelName`!!
@@ -475,6 +475,23 @@ export default class ChatModelManager {
     return ChatModelManager.chatModel;
   }
 
+  /**
+   * langchain 1.0 TypeScript doesn't support temperature override in BaseChatModelCallOptions,
+   * so we need to create a new model instance with the specified temperature.
+   */
+  async getChatModelWithTemperature(temperature: number): Promise<BaseChatModel> {
+    const settings = getSettings();
+    const currentModel = settings.activeModels[0];
+
+    // Create a temporary model config with overridden temperature
+    const modelWithTempOverride: CustomModel = {
+      ...currentModel,
+      temperature,
+    };
+
+    return await this.createModelInstance(modelWithTempOverride);
+  }
+
   async setChatModel(model: CustomModel): Promise<void> {
     const modelKey = getModelKeyFromModel(model);
     try {

src/LLMProviders/memoryManager.ts

@@ -1,5 +1,5 @@
 import { getSettings, subscribeToSettingsChange } from "@/settings/model";
-import { BaseChatMemory, BufferWindowMemory } from "langchain/memory";
+import { BaseChatMemory, BufferWindowMemory } from "@langchain/classic/memory";
 import { BaseChatMessageHistory } from "@langchain/core/chat_history";
 
 export default class MemoryManager {

src/chainFactory.ts

@@ -6,8 +6,8 @@ import { StringOutputParser } from "@langchain/core/output_parsers";
 import { ChatPromptTemplate, PromptTemplate } from "@langchain/core/prompts";
 import { BaseRetriever } from "@langchain/core/retrievers";
 import { RunnablePassthrough, RunnableSequence } from "@langchain/core/runnables";
-import { BaseChatMemory } from "langchain/memory";
-import { formatDocumentsAsString } from "langchain/util/document";
+import { BaseChatMemory } from "@langchain/classic/memory";
+import { formatDocumentsAsString } from "@langchain/classic/util/document";
 import { removeThinkTags } from "./utils";
 
 export interface LLMChainInput {
@@ -72,7 +72,7 @@ class ChainFactory {
   public static createNewLLMChain(args: LLMChainInput): RunnableSequence {
     const { llm, memory, prompt, abortController } = args;
 
-    const model = llm.bind({ signal: abortController?.signal });
+    const model = llm.withConfig({ signal: abortController?.signal });
     const instance = RunnableSequence.from([
       {
         input: (initialInput) => initialInput.input,

src/chainUtils.ts

@@ -1,6 +1,5 @@
 import ProjectManager from "@/LLMProviders/projectManager";
 import { ChatHistoryEntry, removeThinkTags, withSuppressedTokenWarnings } from "@/utils";
-import { BaseChatModelCallOptions } from "@langchain/core/language_models/chat_models";
 
 export async function getStandaloneQuestion(
   question: string,
@@ -24,10 +23,11 @@ export async function getStandaloneQuestion(
 
   // Wrap the model call with token warning suppression
   return await withSuppressedTokenWarnings(async () => {
-    const chatModel = ProjectManager.instance
+    // Use temperature=0 for deterministic question condensation
+    const chatModel = await ProjectManager.instance
       .getCurrentChainManager()
-      .chatModelManager.getChatModel()
-      .bind({ temperature: 0 } as BaseChatModelCallOptions);
+      .chatModelManager.getChatModelWithTemperature(0);
+
     const response = await chatModel.invoke([
       {
         role: "user",

src/commands/CustomCommandChatModal.tsx

@@ -3,6 +3,7 @@ import { processCommandPrompt } from "@/commands/customCommandUtils";
 import { Button } from "@/components/ui/button";
 import { getModelDisplayText } from "@/components/ui/model-display";
 import ChatModelManager from "@/LLMProviders/chatModelManager";
+import { ThinkBlockStreamer } from "@/LLMProviders/chainRunner/utils/ThinkBlockStreamer";
 import { logError } from "@/logger";
 import { findCustomModel, insertIntoEditor } from "@/utils";
 import {
@@ -12,7 +13,7 @@ import {
   SystemMessagePromptTemplate,
 } from "@langchain/core/prompts";
 import { RunnableSequence } from "@langchain/core/runnables";
-import { BaseChatMemory, BufferMemory } from "langchain/memory";
+import { BaseChatMemory, BufferMemory } from "@langchain/classic/memory";
 import { ArrowBigUp, Bot, Command, Copy, CornerDownLeft, PenLine } from "lucide-react";
 import { App, Modal, Notice, Platform } from "obsidian";
 import React, { useCallback, useEffect, useMemo, useRef, useState } from "react";
@@ -94,6 +95,29 @@ function CustomCommandChatModalContent({
 
   const commandTitle = command.title;
 
+  /**
+   * Compute the display value for the textarea
+   */
+  const displayValue = useMemo(() => {
+    // If we have a processed message, show that
+    if (processedMessage) {
+      return processedMessage;
+    }
+
+    // If not generating, show loading
+    if (!generating) {
+      return "loading...";
+    }
+
+    // If generating but no content yet, show loading
+    if (!aiCurrentMessage || aiCurrentMessage.trim() === "") {
+      return "loading...";
+    }
+
+    // Otherwise show the streaming content
+    return aiCurrentMessage;
+  }, [processedMessage, generating, aiCurrentMessage]);
+
   // Reusable function to handle streaming responses wrapped in useCallback
   const streamResponse = useCallback(
     async (input: string, abortController: AbortController) => {
@@ -108,21 +132,31 @@ function CustomCommandChatModalContent({
         setAiCurrentMessage(null);
         setProcessedMessage(null);
         setGenerating(true);
-        let fullResponse = "";
 
-        const chainWithSignal = chatChain.bind({ signal: abortController.signal });
+        const chainWithSignal = chatChain.withConfig({ signal: abortController.signal });
 
         const stream = await chainWithSignal.stream({ input });
 
+        // Initialize ThinkBlockStreamer to handle reasoning content from Claude and Deepseek
+        // excludeThinking=true means thinking tokens are not included in the response
+        const thinkStreamer = new ThinkBlockStreamer(
+          (message: string) => {
+            setAiCurrentMessage(message);
+          },
+          undefined, // no model adapter
+          true // excludeThinking
+        );
+
         for await (const chunk of stream) {
           if (abortController.signal.aborted) break;
-          const chunkContent = typeof chunk.content === "string" ? chunk.content : "";
-          fullResponse += chunkContent;
-          setAiCurrentMessage(fullResponse);
+          thinkStreamer.processChunk(chunk);
         }
 
+        // Close the streamer to finalize the response and close any open think blocks
+        const result = thinkStreamer.close();
+
         if (!abortController.signal.aborted) {
-          const trimmedResponse = fullResponse.trim();
+          const trimmedResponse = result.content.trim();
           setProcessedMessage(trimmedResponse);
           setGenerating(false);
 
@@ -262,7 +296,7 @@ function CustomCommandChatModalContent({
         <textarea
           ref={textareaRef}
           className="tw-peer tw-h-60 tw-w-full tw-text-text"
-          value={processedMessage ?? aiCurrentMessage ?? "loading..."}
+          value={displayValue}
           disabled={processedMessage == null}
           onChange={(e) => setProcessedMessage(e.target.value)}
         />

src/components/QuickCommand.tsx

@@ -10,6 +10,7 @@ import { useModelKey } from "@/aiParams";
 import { CustomCommand } from "@/commands/type";
 import { removeQuickCommandBlocks } from "@/commands/customCommandUtils";
 import CopilotPlugin from "@/main";
+import { updateSetting, useSettingsValue } from "@/settings/model";
 
 interface QuickCommandProps {
   plugin: CopilotPlugin;
@@ -18,12 +19,14 @@ interface QuickCommandProps {
 
 export function QuickCommand({ plugin, onRemove }: QuickCommandProps) {
   const [prompt, setPrompt] = useState("");
-  const [includeActiveNote, setIncludeActiveNote] = useState(true);
+  const settings = useSettingsValue();
   const [selectedText, setSelectedText] = useState("");
   const [globalModelKey] = useModelKey();
-  const [selectedModelKey, setSelectedModelKey] = useState(globalModelKey);
   const textareaRef = useRef<HTMLTextAreaElement>(null);
 
+  const selectedModelKey = settings.quickCommandModelKey ?? globalModelKey;
+  const includeActiveNote = settings.quickCommandIncludeNoteContext;
+
   // Get the currently selected text from the editor
   useEffect(() => {
     const activeView = plugin.app.workspace.getActiveViewOfType(MarkdownView);
@@ -119,6 +122,20 @@ Response format: Match the format implied by the user's request (e.g., if they a
     }
   };
 
+  /**
+   * Handle model selection change and persist to settings
+   */
+  const handleModelChange = (modelKey: string) => {
+    updateSetting("quickCommandModelKey", modelKey);
+  };
+
+  /**
+   * Handle include note context checkbox change and persist to settings
+   */
+  const handleIncludeNoteContextChange = (checked: boolean) => {
+    updateSetting("quickCommandIncludeNoteContext", checked);
+  };
+
   return (
     <div
       className="tw-rounded-lg tw-border tw-border-solid tw-border-border tw-bg-primary tw-p-4"
@@ -140,14 +157,14 @@ Response format: Match the format implied by the user's request (e.g., if they a
               size="sm"
               variant="ghost"
               value={selectedModelKey}
-              onChange={setSelectedModelKey}
+              onChange={handleModelChange}
             />
 
             <div className="tw-flex tw-items-center tw-gap-2">
               <Checkbox
                 id="includeActiveNote"
                 checked={includeActiveNote}
-                onCheckedChange={(checked) => setIncludeActiveNote(!!checked)}
+                onCheckedChange={(checked) => handleIncludeNoteContextChange(!!checked)}
               />
               <label
                 htmlFor="includeActiveNote"

src/constants.ts

@@ -805,6 +805,8 @@ export const DEFAULT_SETTINGS: CopilotSettings = {
   maxRecentConversations: 30,
   enableSavedMemory: true,
   enableInlineCitations: true,
+  quickCommandModelKey: undefined,
+  quickCommandIncludeNoteContext: true,
 };
 
 export const EVENT_NAMES = {

src/imageProcessing/imageProcessor.ts

@@ -8,11 +8,13 @@ export interface ImageContent {
   image_url: {
     url: string;
   };
+  [key: string]: unknown; // Index signature for LangChain compatibility
 }
 
 export interface TextContent {
   type: "text";
   text: string;
+  [key: string]: unknown; // Index signature for LangChain compatibility
 }
 
 export interface ImageProcessingResult {

src/search/hybridRetriever.ts

@@ -14,7 +14,6 @@ import {
 } from "@/utils";
 import { BaseCallbackConfig } from "@langchain/core/callbacks/manager";
 import { Document } from "@langchain/core/documents";
-import { BaseChatModelCallOptions } from "@langchain/core/language_models/chat_models";
 import { ChatPromptTemplate } from "@langchain/core/prompts";
 import { BaseRetriever } from "@langchain/core/retrievers";
 import { search } from "@orama/orama";
@@ -143,11 +142,11 @@ export class HybridRetriever extends BaseRetriever {
         const promptResult = await this.queryRewritePrompt.format({ question: query });
 
         // Execute model invocation with warnings suppressed
-        const rewrittenQueryObject = await withSuppressedTokenWarnings(() => {
-          const chatModel = ProjectManager.instance
+        const rewrittenQueryObject = await withSuppressedTokenWarnings(async () => {
+          // Use temperature=0 for deterministic HyDE query rewriting
+          const chatModel = await ProjectManager.instance
             .getCurrentChainManager()
-            .chatModelManager.getChatModel()
-            .bind({ temperature: 0 } as BaseChatModelCallOptions);
+            .chatModelManager.getChatModelWithTemperature(0);
 
           return chatModel.invoke(promptResult);
         });

src/search/indexOperations.ts

@@ -5,7 +5,7 @@ import { RateLimiter } from "@/rateLimiter";
 import { getSettings, subscribeToSettingsChange } from "@/settings/model";
 import { formatDateTime } from "@/utils";
 import { MD5 } from "crypto-js";
-import { RecursiveCharacterTextSplitter } from "langchain/text_splitter";
+import { RecursiveCharacterTextSplitter } from "@langchain/textsplitters";
 import { App, Notice, TFile } from "obsidian";
 import { DBOperations } from "./dbOperations";
 import {

src/search/v3/chunks.ts

@@ -1,7 +1,7 @@
 import { logInfo, logWarn } from "@/logger";
 import { CHUNK_SIZE } from "@/constants";
 import { App, TFile } from "obsidian";
-import { RecursiveCharacterTextSplitter } from "langchain/text_splitter";
+import { RecursiveCharacterTextSplitter } from "@langchain/textsplitters";
 
 /**
  * Chunk interface for unified search system

src/settings/model.ts

@@ -148,6 +148,10 @@ export interface CopilotSettings {
   enableSavedMemory: boolean;
   /** Enable inline citations in AI responses with footnote-style references */
   enableInlineCitations: boolean;
+  /** Last selected model for quick command */
+  quickCommandModelKey: string | undefined;
+  /** Last checkbox state for including note context in quick command */
+  quickCommandIncludeNoteContext: boolean;
 }
 
 export const settingsStore = createStore();
@@ -402,6 +406,20 @@ export function sanitizeSettings(settings: CopilotSettings): CopilotSettings {
     sanitizedSettings.autosaveChat = DEFAULT_SETTINGS.autosaveChat;
   }
 
+  // Ensure quickCommandIncludeNoteContext has a default value
+  if (typeof sanitizedSettings.quickCommandIncludeNoteContext !== "boolean") {
+    sanitizedSettings.quickCommandIncludeNoteContext =
+      DEFAULT_SETTINGS.quickCommandIncludeNoteContext;
+  }
+
+  // Ensure quickCommandModelKey is either undefined or a string
+  if (
+    settingsToSanitize.quickCommandModelKey !== undefined &&
+    typeof settingsToSanitize.quickCommandModelKey !== "string"
+  ) {
+    sanitizedSettings.quickCommandModelKey = DEFAULT_SETTINGS.quickCommandModelKey;
+  }
+
   // Ensure folder settings fall back to defaults when empty/whitespace
   const saveFolder = (settingsToSanitize.defaultSaveFolder || "").trim();
   sanitizedSettings.defaultSaveFolder =

src/utils.ts

@@ -16,7 +16,7 @@ import { ChatMessage } from "@/types/message";
 import { BaseChatModel } from "@langchain/core/language_models/chat_models";
 import { MemoryVariables } from "@langchain/core/memory";
 import { RunnableSequence } from "@langchain/core/runnables";
-import { BaseChain, RetrievalQAChain } from "langchain/chains";
+import { BaseChain, RetrievalQAChain } from "@langchain/classic/chains";
 import moment from "moment";
 import { MarkdownView, Notice, TFile, Vault, normalizePath, requestUrl } from "obsidian";
 import { CustomModel } from "./aiParams";
@@ -204,12 +204,12 @@ export const stringToChainType = (chain: string): ChainType => {
 // Remove after confirming chainManager no longer uses them
 export const isLLMChain = (chain: RunnableSequence): chain is RunnableSequence => {
   // eslint-disable-next-line @typescript-eslint/no-explicit-any
-  return (chain as any).last.bound.modelName || (chain as any).last.bound.model;
+  return (chain as any).last?.modelName || (chain as any).last?.model;
 };
 
 export const isRetrievalQAChain = (chain: BaseChain): chain is RetrievalQAChain => {
   // eslint-disable-next-line @typescript-eslint/no-explicit-any
-  return (chain as any).last.bound.retriever !== undefined;
+  return (chain as any).last?.retriever !== undefined;
 };
 
 export const isSupportedChain = (chain: RunnableSequence): chain is RunnableSequence => {