Merge a4c0fd7ea4 into 45df9dc5bf

docker-compose.yaml

@@ -16,6 +16,8 @@ services:
       dockerfile: app.dockerfile
     environment:
       - SEARXNG_API_URL=http://searxng:8080
+    env_file:
+      - .env
     ports:
       - 3000:3000
     networks:

docs/API/SEARCH.md

@@ -32,8 +32,7 @@ The API accepts a JSON object in the request body, where you define the focus mo
   "history": [
     ["human", "Hi, how are you?"],
     ["assistant", "I am doing well, how can I help you today?"]
-  ],
+  ]
-  "stream": false
 }
 ```
 
@@ -72,13 +71,11 @@ The API accepts a JSON object in the request body, where you define the focus mo
   ]
   ```
 
-- **`stream`** (boolean, optional): When set to `true`, enables streaming responses. Default is `false`.
-
 ### Response
 
 The response from the API includes both the final message and the sources used to generate that message.
 
-#### Standard Response (stream: false)
+#### Example Response
 
 ```json
 {
@@ -103,28 +100,6 @@ The response from the API includes both the final message and the sources used t
 }
 ```
 
-#### Streaming Response (stream: true)
-
-When streaming is enabled, the API returns a stream of newline-delimited JSON objects. Each line contains a complete, valid JSON object. The response has Content-Type: application/json.
-
-Example of streamed response objects:
-
-```
-{"type":"init","data":"Stream connected"}
-{"type":"sources","data":[{"pageContent":"...","metadata":{"title":"...","url":"..."}},...]}
-{"type":"response","data":"Perplexica is an "}
-{"type":"response","data":"innovative, open-source "}
-{"type":"response","data":"AI-powered search engine..."}
-{"type":"done"}
-```
-
-Clients should process each line as a separate JSON object. The different message types include:
-
-- **`init`**: Initial connection message
-- **`sources`**: All sources used for the response
-- **`response`**: Chunks of the generated answer text
-- **`done`**: Indicates the stream is complete
-
 ### Fields in the Response
 
 - **`message`** (string): The search result, generated based on the query and focus mode.

package.json

@@ -1,6 +1,6 @@
 {
   "name": "perplexica-frontend",
-  "version": "1.10.1",
+  "version": "1.10.0",
   "license": "MIT",
   "author": "ItzCrazyKns",
   "scripts": {
@@ -15,10 +15,8 @@
     "@headlessui/react": "^2.2.0",
     "@iarna/toml": "^2.2.5",
     "@icons-pack/react-simple-icons": "^12.3.0",
-    "@langchain/anthropic": "^0.3.15",
     "@langchain/community": "^0.3.36",
     "@langchain/core": "^0.3.42",
-    "@langchain/google-genai": "^0.1.12",
     "@langchain/openai": "^0.0.25",
     "@langchain/textsplitters": "^0.1.0",
     "@tailwindcss/typography": "^0.5.12",

src/app/api/chat/route.ts

@@ -295,9 +295,9 @@ export const POST = async (req: Request) => {
       },
     });
   } catch (err) {
-    console.error('An error occurred while processing chat request:', err);
+    console.error('An error ocurred while processing chat request:', err);
     return Response.json(
-      { message: 'An error occurred while processing chat request' },
+      { message: 'An error ocurred while processing chat request' },
       { status: 500 },
     );
   }

src/app/api/config/route.ts

@@ -59,9 +59,9 @@ export const GET = async (req: Request) => {
 
     return Response.json({ ...config }, { status: 200 });
   } catch (err) {
-    console.error('An error occurred while getting config:', err);
+    console.error('An error ocurred while getting config:', err);
     return Response.json(
-      { message: 'An error occurred while getting config' },
+      { message: 'An error ocurred while getting config' },
       { status: 500 },
     );
   }
@@ -100,9 +100,9 @@ export const POST = async (req: Request) => {
 
     return Response.json({ message: 'Config updated' }, { status: 200 });
   } catch (err) {
-    console.error('An error occurred while updating config:', err);
+    console.error('An error ocurred while updating config:', err);
     return Response.json(
-      { message: 'An error occurred while updating config' },
+      { message: 'An error ocurred while updating config' },
       { status: 500 },
     );
   }

src/app/api/discover/route.ts

@@ -48,7 +48,7 @@ export const GET = async (req: Request) => {
       },
     );
   } catch (err) {
-    console.error(`An error occurred in discover route: ${err}`);
+    console.error(`An error ocurred in discover route: ${err}`);
     return Response.json(
       {
         message: 'An error has occurred',

src/app/api/images/route.ts

@@ -74,9 +74,9 @@ export const POST = async (req: Request) => {
 
     return Response.json({ images }, { status: 200 });
   } catch (err) {
-    console.error(`An error occurred while searching images: ${err}`);
+    console.error(`An error ocurred while searching images: ${err}`);
     return Response.json(
-      { message: 'An error occurred while searching images' },
+      { message: 'An error ocurred while searching images' },
       { status: 500 },
     );
   }

src/app/api/models/route.ts

@@ -34,7 +34,7 @@ export const GET = async (req: Request) => {
       },
     );
   } catch (err) {
-    console.error('An error occurred while fetching models', err);
+    console.error('An error ocurred while fetching models', err);
     return Response.json(
       {
         message: 'An error has occurred.',

src/app/api/search/route.ts

@@ -33,7 +33,6 @@ interface ChatRequestBody {
   embeddingModel?: embeddingModel;
   query: string;
   history: Array<[string, string]>;
-  stream?: boolean;
 }
 
 export const POST = async (req: Request) => {
@@ -49,7 +48,6 @@ export const POST = async (req: Request) => {
 
     body.history = body.history || [];
     body.optimizationMode = body.optimizationMode || 'balanced';
-    body.stream = body.stream || false;
 
     const history: BaseMessage[] = body.history.map((msg) => {
       return msg[0] === 'human'
@@ -127,7 +125,6 @@ export const POST = async (req: Request) => {
       [],
     );
 
-    if (!body.stream) {
     return new Promise(
       (
         resolve: (value: Response) => void,
@@ -136,7 +133,7 @@ export const POST = async (req: Request) => {
         let message = '';
         let sources: any[] = [];
 
-          emitter.on('data', (data: string) => {
+        emitter.on('data', (data) => {
           try {
             const parsedData = JSON.parse(data);
             if (parsedData.type === 'response') {
@@ -146,10 +143,7 @@ export const POST = async (req: Request) => {
             }
           } catch (error) {
             reject(
-                Response.json(
+              Response.json({ message: 'Error parsing data' }, { status: 500 }),
-                  { message: 'Error parsing data' },
-                  { status: 500 },
-                ),
             );
           }
         });
@@ -158,106 +152,13 @@ export const POST = async (req: Request) => {
           resolve(Response.json({ message, sources }, { status: 200 }));
         });
 
-          emitter.on('error', (error: any) => {
+        emitter.on('error', (error) => {
           reject(
-              Response.json(
+            Response.json({ message: 'Search error', error }, { status: 500 }),
-                { message: 'Search error', error },
-                { status: 500 },
-              ),
           );
         });
       },
     );
-    }
-
-    const encoder = new TextEncoder();
-
-    const abortController = new AbortController();
-    const { signal } = abortController;
-
-    const stream = new ReadableStream({
-      start(controller) {
-        let sources: any[] = [];
-
-        controller.enqueue(
-          encoder.encode(
-            JSON.stringify({
-              type: 'init',
-              data: 'Stream connected',
-            }) + '\n',
-          ),
-        );
-
-        signal.addEventListener('abort', () => {
-          emitter.removeAllListeners();
-
-          try {
-            controller.close();
-          } catch (error) {}
-        });
-
-        emitter.on('data', (data: string) => {
-          if (signal.aborted) return;
-
-          try {
-            const parsedData = JSON.parse(data);
-
-            if (parsedData.type === 'response') {
-              controller.enqueue(
-                encoder.encode(
-                  JSON.stringify({
-                    type: 'response',
-                    data: parsedData.data,
-                  }) + '\n',
-                ),
-              );
-            } else if (parsedData.type === 'sources') {
-              sources = parsedData.data;
-              controller.enqueue(
-                encoder.encode(
-                  JSON.stringify({
-                    type: 'sources',
-                    data: sources,
-                  }) + '\n',
-                ),
-              );
-            }
-          } catch (error) {
-            controller.error(error);
-          }
-        });
-
-        emitter.on('end', () => {
-          if (signal.aborted) return;
-
-          controller.enqueue(
-            encoder.encode(
-              JSON.stringify({
-                type: 'done',
-              }) + '\n',
-            ),
-          );
-          controller.close();
-        });
-
-        emitter.on('error', (error: any) => {
-          if (signal.aborted) return;
-
-          controller.error(error);
-        });
-      },
-      cancel() {
-        abortController.abort();
-      },
-    });
-
-    return new Response(stream, {
-      headers: {
-        'Content-Type': 'text/event-stream',
-        'Cache-Control': 'no-cache, no-transform',
-        Connection: 'keep-alive',
-      },
-    });
   } catch (err: any) {
     console.error(`Error in getting search results: ${err.message}`);
     return Response.json(

src/app/api/suggestions/route.ts

@@ -72,9 +72,9 @@ export const POST = async (req: Request) => {
 
     return Response.json({ suggestions }, { status: 200 });
   } catch (err) {
-    console.error(`An error occurred while generating suggestions: ${err}`);
+    console.error(`An error ocurred while generating suggestions: ${err}`);
     return Response.json(
-      { message: 'An error occurred while generating suggestions' },
+      { message: 'An error ocurred while generating suggestions' },
       { status: 500 },
     );
   }

src/app/api/videos/route.ts

@@ -74,9 +74,9 @@ export const POST = async (req: Request) => {
 
     return Response.json({ videos }, { status: 200 });
   } catch (err) {
-    console.error(`An error occurred while searching videos: ${err}`);
+    console.error(`An error ocurred while searching videos: ${err}`);
     return Response.json(
-      { message: 'An error occurred while searching videos' },
+      { message: 'An error ocurred while searching videos' },
       { status: 500 },
     );
   }

src/lib/config.ts

@@ -40,37 +40,70 @@ type RecursivePartial<T> = {
   [P in keyof T]?: RecursivePartial<T[P]>;
 };
 
-const loadConfig = () =>
+const loadConfig = () => {
-  toml.parse(
+  const configPath = path.join(process.cwd(), configFileName);
-    fs.readFileSync(path.join(process.cwd(), `${configFileName}`), 'utf-8'),
+  if (!fs.existsSync(configPath) || fs.lstatSync(configPath).isDirectory()) {
-  ) as any as Config;
+    return {} as Config;
+  }
+  return toml.parse(fs.readFileSync(configPath, 'utf-8')) as any as Config;
+};
+
+const getEnvVar = (key: string): string | undefined => {
+  return process.env[key];
+};
+
+const getConfigValue = (path: string[], defaultValue: string): string => {
+  // Convert path to environment variable name (e.g., ['MODELS', 'GROQ', 'API_KEY'] -> 'GROQ_API_KEY')
+  const envKey = path.slice(1).join('_').toUpperCase();
+  const envValue = getEnvVar(envKey);
+
+  if (envValue !== undefined) {
+    return envValue;
+  }
+
+  // Fall back to config.toml
+  let value: any = loadConfig();
+  for (const key of path) {
+    value = value[key];
+    if (value === undefined) {
+      return defaultValue;
+    }
+  }
+  return value;
+};
 
 export const getSimilarityMeasure = () =>
-  loadConfig().GENERAL.SIMILARITY_MEASURE;
+  getConfigValue(['GENERAL', 'SIMILARITY_MEASURE'], 'cosine');
 
-export const getKeepAlive = () => loadConfig().GENERAL.KEEP_ALIVE;
+export const getKeepAlive = () =>
+  getConfigValue(['GENERAL', 'KEEP_ALIVE'], '30s');
 
-export const getOpenaiApiKey = () => loadConfig().MODELS.OPENAI.API_KEY;
+export const getOpenaiApiKey = () =>
+  getConfigValue(['MODELS', 'OPENAI', 'API_KEY'], '');
 
-export const getGroqApiKey = () => loadConfig().MODELS.GROQ.API_KEY;
+export const getGroqApiKey = () =>
+  getConfigValue(['MODELS', 'GROQ', 'API_KEY'], '');
 
-export const getAnthropicApiKey = () => loadConfig().MODELS.ANTHROPIC.API_KEY;
+export const getAnthropicApiKey = () =>
+  getConfigValue(['MODELS', 'ANTHROPIC', 'API_KEY'], '');
 
-export const getGeminiApiKey = () => loadConfig().MODELS.GEMINI.API_KEY;
+export const getGeminiApiKey = () =>
+  getConfigValue(['MODELS', 'GEMINI', 'API_KEY'], '');
 
 export const getSearxngApiEndpoint = () =>
-  process.env.SEARXNG_API_URL || loadConfig().API_ENDPOINTS.SEARXNG;
+  process.env.SEARXNG_API_URL || getConfigValue(['API_ENDPOINTS', 'SEARXNG'], '');
 
-export const getOllamaApiEndpoint = () => loadConfig().MODELS.OLLAMA.API_URL;
+export const getOllamaApiEndpoint = () =>
+  getConfigValue(['MODELS', 'OLLAMA', 'API_URL'], 'http://localhost:11434');
 
 export const getCustomOpenaiApiKey = () =>
-  loadConfig().MODELS.CUSTOM_OPENAI.API_KEY;
+  getConfigValue(['MODELS', 'CUSTOM_OPENAI', 'API_KEY'], '');
 
 export const getCustomOpenaiApiUrl = () =>
-  loadConfig().MODELS.CUSTOM_OPENAI.API_URL;
+  getConfigValue(['MODELS', 'CUSTOM_OPENAI', 'API_URL'], '');
 
 export const getCustomOpenaiModelName = () =>
-  loadConfig().MODELS.CUSTOM_OPENAI.MODEL_NAME;
+  getConfigValue(['MODELS', 'CUSTOM_OPENAI', 'MODEL_NAME'], '');
 
 const mergeConfigs = (current: any, update: any): any => {
   if (update === null || update === undefined) {

src/lib/providers/anthropic.ts

@@ -1,4 +1,4 @@
-import { ChatAnthropic } from '@langchain/anthropic';
+import { ChatOpenAI } from '@langchain/openai';
 import { ChatModel } from '.';
 import { getAnthropicApiKey } from '../config';
 import { BaseChatModel } from '@langchain/core/language_models/chat_models';
@@ -45,10 +45,13 @@ export const loadAnthropicChatModels = async () => {
     anthropicChatModels.forEach((model) => {
       chatModels[model.key] = {
         displayName: model.displayName,
-        model: new ChatAnthropic({
+        model: new ChatOpenAI({
-          apiKey: anthropicApiKey,
+          openAIApiKey: anthropicApiKey,
           modelName: model.key,
           temperature: 0.7,
+          configuration: {
+            baseURL: 'https://api.anthropic.com/v1/',
+          },
         }) as unknown as BaseChatModel,
       };
     });

src/lib/providers/gemini.ts

@@ -1,17 +1,10 @@
-import {
+import { ChatOpenAI, OpenAIEmbeddings } from '@langchain/openai';
-  ChatGoogleGenerativeAI,
-  GoogleGenerativeAIEmbeddings,
-} from '@langchain/google-genai';
 import { getGeminiApiKey } from '../config';
 import { ChatModel, EmbeddingModel } from '.';
 import { BaseChatModel } from '@langchain/core/language_models/chat_models';
 import { Embeddings } from '@langchain/core/embeddings';
 
 const geminiChatModels: Record<string, string>[] = [
-  {
-    displayName: 'Gemini 2.5 Pro Experimental',
-    key: 'gemini-2.5-pro-exp-03-25',
-  },
   {
     displayName: 'Gemini 2.0 Flash',
     key: 'gemini-2.0-flash',
@@ -21,8 +14,8 @@ const geminiChatModels: Record<string, string>[] = [
     key: 'gemini-2.0-flash-lite',
   },
   {
-    displayName: 'Gemini 2.0 Flash Thinking Experimental',
+    displayName: 'Gemini 2.0 Pro Experimental',
-    key: 'gemini-2.0-flash-thinking-exp-01-21',
+    key: 'gemini-2.0-pro-exp-02-05',
   },
   {
     displayName: 'Gemini 1.5 Flash',
@@ -56,10 +49,13 @@ export const loadGeminiChatModels = async () => {
     geminiChatModels.forEach((model) => {
       chatModels[model.key] = {
         displayName: model.displayName,
-        model: new ChatGoogleGenerativeAI({
+        model: new ChatOpenAI({
-          apiKey: geminiApiKey,
+          openAIApiKey: geminiApiKey,
           modelName: model.key,
           temperature: 0.7,
+          configuration: {
+            baseURL: 'https://generativelanguage.googleapis.com/v1beta/openai/',
+          },
         }) as unknown as BaseChatModel,
       };
     });
@@ -82,9 +78,12 @@ export const loadGeminiEmbeddingModels = async () => {
     geminiEmbeddingModels.forEach((model) => {
       embeddingModels[model.key] = {
         displayName: model.displayName,
-        model: new GoogleGenerativeAIEmbeddings({
+        model: new OpenAIEmbeddings({
-          apiKey: geminiApiKey,
+          openAIApiKey: geminiApiKey,
           modelName: model.key,
+          configuration: {
+            baseURL: 'https://generativelanguage.googleapis.com/v1beta/openai/',
+          },
         }) as unknown as Embeddings,
       };
     });

yarn.lock

@@ -12,19 +12,6 @@
   resolved "https://registry.yarnpkg.com/@alloc/quick-lru/-/quick-lru-5.2.0.tgz#7bf68b20c0a350f936915fcae06f58e32007ce30"
   integrity sha512-UrcABB+4bUrFABwbluTIBErXwvbsU/V7TZWfmbgJfbkwiBuziS9gxdODUyuiecfdGQ85jglMW6juS3+z5TsKLw==
 
-"@anthropic-ai/sdk@^0.37.0":
-  version "0.37.0"
-  resolved "https://registry.yarnpkg.com/@anthropic-ai/sdk/-/sdk-0.37.0.tgz#0018127404ecb9b8a12968068e0c4b3e8bbd6386"
-  integrity sha512-tHjX2YbkUBwEgg0JZU3EFSSAQPoK4qQR/NFYa8Vtzd5UAyXzZksCw2In69Rml4R/TyHPBfRYaLK35XiOe33pjw==
-  dependencies:
-    "@types/node" "^18.11.18"
-    "@types/node-fetch" "^2.6.4"
-    abort-controller "^3.0.0"
-    agentkeepalive "^4.2.1"
-    form-data-encoder "1.7.2"
-    formdata-node "^4.3.2"
-    node-fetch "^2.6.7"
-
 "@anthropic-ai/sdk@^0.9.1":
   version "0.9.1"
   resolved "https://registry.yarnpkg.com/@anthropic-ai/sdk/-/sdk-0.9.1.tgz#b2d2b7bf05c90dce502c9a2e869066870f69ba88"
@@ -387,11 +374,6 @@
   resolved "https://registry.yarnpkg.com/@floating-ui/utils/-/utils-0.2.8.tgz#21a907684723bbbaa5f0974cf7730bd797eb8e62"
   integrity sha512-kym7SodPp8/wloecOpcmSnWJsK7M0E5Wg8UcFA+uO4B9s5d0ywXOEro/8HM9x0rW+TljRzul/14UYz3TleT3ig==
 
-"@google/generative-ai@^0.24.0":
-  version "0.24.0"
-  resolved "https://registry.yarnpkg.com/@google/generative-ai/-/generative-ai-0.24.0.tgz#4d27af7d944c924a27a593c17ad1336535d53846"
-  integrity sha512-fnEITCGEB7NdX0BhoYZ/cq/7WPZ1QS5IzJJfC3Tg/OwkvBetMiVJciyaan297OvE4B9Jg1xvo0zIazX/9sGu1Q==
-
 "@headlessui/react@^2.2.0":
   version "2.2.0"
   resolved "https://registry.yarnpkg.com/@headlessui/react/-/react-2.2.0.tgz#a8e32f0899862849a1ce1615fa280e7891431ab7"
@@ -593,16 +575,6 @@
     "@jridgewell/resolve-uri" "^3.1.0"
     "@jridgewell/sourcemap-codec" "^1.4.14"
 
-"@langchain/anthropic@^0.3.15":
-  version "0.3.15"
-  resolved "https://registry.yarnpkg.com/@langchain/anthropic/-/anthropic-0.3.15.tgz#0244cdb345cb492eb40aedd681881ebadfbb73f2"
-  integrity sha512-Ar2viYcZ64idgV7EtCBCb36tIkNtPAhQRxSaMTWPHGspFgMfvwRoleVri9e90sCpjpS9xhlHsIQ0LlUS/Atsrw==
-  dependencies:
-    "@anthropic-ai/sdk" "^0.37.0"
-    fast-xml-parser "^4.4.1"
-    zod "^3.22.4"
-    zod-to-json-schema "^3.22.4"
-
 "@langchain/community@^0.3.36":
   version "0.3.36"
   resolved "https://registry.yarnpkg.com/@langchain/community/-/community-0.3.36.tgz#e4c13b8f928b17e0f9257395f43be2246dfada40"
@@ -668,14 +640,6 @@
     zod "^3.22.4"
     zod-to-json-schema "^3.22.3"
 
-"@langchain/google-genai@^0.1.12":
-  version "0.1.12"
-  resolved "https://registry.yarnpkg.com/@langchain/google-genai/-/google-genai-0.1.12.tgz#6727253bda6f0d87cd74cf0bb6b1e0f398f60f32"
-  integrity sha512-0Ea0E2g63ejCuormVxbuoyJQ5BYN53i2/fb6WP8bMKzyh+y43R13V8JqOtr3e/GmgNyv3ou/VeaZjx7KAvu/0g==
-  dependencies:
-    "@google/generative-ai" "^0.24.0"
-    zod-to-json-schema "^3.22.4"
-
 "@langchain/openai@>=0.1.0 <0.5.0", "@langchain/openai@>=0.2.0 <0.5.0":
   version "0.4.5"
   resolved "https://registry.yarnpkg.com/@langchain/openai/-/openai-0.4.5.tgz#d18e207c3ec3f2ecaa4698a5a5888092f643da52"
@@ -2405,13 +2369,6 @@ fast-levenshtein@^2.0.6:
   resolved "https://registry.yarnpkg.com/fast-levenshtein/-/fast-levenshtein-2.0.6.tgz#3d8a5c66883a16a30ca8643e851f19baa7797917"
   integrity sha512-DCXu6Ifhqcks7TZKY3Hxp3y6qphY5SJZmrWMDrKcERSOXWQdMhU9Ig/PYrzyw/ul9jOIyh0N4M0tbC5hodg8dw==
 
-fast-xml-parser@^4.4.1:
-  version "4.5.3"
-  resolved "https://registry.yarnpkg.com/fast-xml-parser/-/fast-xml-parser-4.5.3.tgz#c54d6b35aa0f23dc1ea60b6c884340c006dc6efb"
-  integrity sha512-RKihhV+SHsIUGXObeVy9AXiBbFwkVk7Syp8XgwN5U3JV416+Gwp/GO9i0JYKmikykgz/UHRrrV4ROuZEo/T0ig==
-  dependencies:
-    strnum "^1.1.1"
-
 fastq@^1.6.0:
   version "1.17.1"
   resolved "https://registry.yarnpkg.com/fastq/-/fastq-1.17.1.tgz#2a523f07a4e7b1e81a42b91b8bf2254107753b47"
@@ -4501,11 +4458,6 @@ strip-json-comments@~2.0.1:
   resolved "https://registry.yarnpkg.com/strip-json-comments/-/strip-json-comments-2.0.1.tgz#3c531942e908c2697c0ec344858c286c7ca0a60a"
   integrity sha512-4gB8na07fecVVkOI6Rs4e7T6NOTki5EmL7TUduTs6bu3EdnSycntVJ4re8kgZA+wx9IueI2Y11bfbgwtzuE0KQ==
 
-strnum@^1.1.1:
-  version "1.1.2"
-  resolved "https://registry.yarnpkg.com/strnum/-/strnum-1.1.2.tgz#57bca4fbaa6f271081715dbc9ed7cee5493e28e4"
-  integrity sha512-vrN+B7DBIoTTZjnPNewwhx6cBA/H+IS7rfW68n7XxC1y7uoiGQBxaKzqucGUgavX15dJgiGztLJ8vxuEzwqBdA==
-
 styled-jsx@5.1.6:
   version "5.1.6"
   resolved "https://registry.yarnpkg.com/styled-jsx/-/styled-jsx-5.1.6.tgz#83b90c077e6c6a80f7f5e8781d0f311b2fe41499"
@@ -5003,11 +4955,6 @@ zod-to-json-schema@^3.22.3, zod-to-json-schema@^3.22.5:
   resolved "https://registry.yarnpkg.com/zod-to-json-schema/-/zod-to-json-schema-3.22.5.tgz#3646e81cfc318dbad2a22519e5ce661615418673"
   integrity sha512-+akaPo6a0zpVCCseDed504KBJUQpEW5QZw7RMneNmKw+fGaML1Z9tUNLnHHAC8x6dzVRO1eB2oEMyZRnuBZg7Q==
 
-zod-to-json-schema@^3.22.4:
-  version "3.24.5"
-  resolved "https://registry.yarnpkg.com/zod-to-json-schema/-/zod-to-json-schema-3.24.5.tgz#d1095440b147fb7c2093812a53c54df8d5df50a3"
-  integrity sha512-/AuWwMP+YqiPbsJx5D6TfgRTc4kTLjsh5SOcd4bLsfUg2RcEXrFMJl1DGgdHy2aCfsIA/cr/1JM0xcB2GZji8g==
-
 zod@^3.22.3, zod@^3.22.4:
   version "3.22.4"
   resolved "https://registry.yarnpkg.com/zod/-/zod-3.22.4.tgz#f31c3a9386f61b1f228af56faa9255e845cf3fff"