rerun prettier

chainforge/react-server/src/App.tsx

@@ -508,11 +508,10 @@ const App = () => {
 
   // Import data to the cache stored on the local filesystem (in backend)
   const handleImportCache = useCallback(
-    (cache_data: Dict<Dict>) => 
+    (cache_data: Dict<Dict>) =>
       importCache(cache_data)
         .then(importGlobalStateFromCache)
-        .catch(handleError)
-    ,
+        .catch(handleError),
     [handleError, importGlobalStateFromCache],
   );
 

chainforge/react-server/src/LLMResponseInspector.js

@@ -9,8 +9,6 @@ import React, {
   useEffect,
   useRef,
   useMemo,
-  lazy,
-  Suspense,
 } from "react";
 import {
   MultiSelect,

chainforge/react-server/src/ModelSettingSchemas.tsx

@@ -10,7 +10,7 @@
  * Descriptions of OpenAI model parameters copied from OpenAI's official chat completions documentation: https://platform.openai.com/docs/models/model-endpoint-compatibility
  */
 
-import { LLM, LLMProvider, RATE_LIMITS, getProvider } from "./backend/models";
+import { LLMProvider, RATE_LIMITS, getProvider } from "./backend/models";
 import {
   Dict,
   JSONCompatible,

chainforge/react-server/src/ResponseBoxes.tsx

@@ -143,9 +143,7 @@ export const ResponseBox: React.FC<ResponseBoxProps> = ({
       {llmName !== undefined ? (
         children
       ) : (
-        <div className="response-item-llm-name-wrapper">
-          {children}
-        </div>
+        <div className="response-item-llm-name-wrapper">{children}</div>
       )}
     </div>
   );
@@ -161,7 +159,7 @@ export const genResponseTextsDisplay = (
   customTextDisplay?: (txt: string) => React.ReactNode,
   onlyShowScores?: boolean,
   llmName?: string,
-  wideFormat?:boolean,
+  wideFormat?: boolean,
 ): React.ReactNode[] | React.ReactNode => {
   if (!res_obj) return <></>;
 

chainforge/react-server/src/backend/utils.ts

@@ -1944,7 +1944,7 @@ export function repairCachedResponses(
   return data;
 }
 
-/** 
+/**
  * Generates a function that can be called to debounce another function,
  * inside a React component. Note that it requires passing (and capturing) a React ref using useRef.
  * The ref is used so that when the function is called multiple times; it will 'debounce' --cancel any pending call.