feat(config-route): use new config manager & model registry

package.json

@@ -29,8 +29,8 @@
     "better-sqlite3": "^11.9.1",
     "clsx": "^2.1.0",
     "compute-cosine-similarity": "^1.1.0",
-    "compute-dot": "^1.1.0",
     "drizzle-orm": "^0.40.1",
+    "framer-motion": "^12.23.24",
     "html-to-text": "^9.0.5",
     "jspdf": "^3.0.1",
     "langchain": "^0.3.30",

src/app/api/chat/route.ts

@@ -1,23 +1,14 @@
 import crypto from 'crypto';
 import { AIMessage, BaseMessage, HumanMessage } from '@langchain/core/messages';
 import { EventEmitter } from 'stream';
-import {
-  getAvailableChatModelProviders,
-  getAvailableEmbeddingModelProviders,
-} from '@/lib/providers';
 import db from '@/lib/db';
 import { chats, messages as messagesSchema } from '@/lib/db/schema';
 import { and, eq, gt } from 'drizzle-orm';
 import { getFileDetails } from '@/lib/utils/files';
-import { BaseChatModel } from '@langchain/core/language_models/chat_models';
-import { ChatOpenAI } from '@langchain/openai';
-import {
-  getCustomOpenaiApiKey,
-  getCustomOpenaiApiUrl,
-  getCustomOpenaiModelName,
-} from '@/lib/config';
 import { searchHandlers } from '@/lib/search';
 import { z } from 'zod';
+import ModelRegistry from '@/lib/models/registry';
+import { ModelWithProvider } from '@/lib/models/types';
 
 export const runtime = 'nodejs';
 export const dynamic = 'force-dynamic';
@@ -28,14 +19,30 @@ const messageSchema = z.object({
   content: z.string().min(1, 'Message content is required'),
 });
 
-const chatModelSchema = z.object({
-  provider: z.string().optional(),
-  name: z.string().optional(),
+const chatModelSchema: z.ZodType<ModelWithProvider> = z.object({
+  providerId: z.string({
+    errorMap: () => ({
+      message: 'Chat model provider id must be provided',
+    }),
+  }),
+  key: z.string({
+    errorMap: () => ({
+      message: 'Chat model key must be provided',
+    }),
+  }),
 });
 
-const embeddingModelSchema = z.object({
-  provider: z.string().optional(),
-  name: z.string().optional(),
+const embeddingModelSchema: z.ZodType<ModelWithProvider> = z.object({
+  providerId: z.string({
+    errorMap: () => ({
+      message: 'Embedding model provider id must be provided',
+    }),
+  }),
+  key: z.string({
+    errorMap: () => ({
+      message: 'Embedding model key must be provided',
+    }),
+  }),
 });
 
 const bodySchema = z.object({
@@ -57,8 +64,8 @@ const bodySchema = z.object({
     .optional()
     .default([]),
   files: z.array(z.string()).optional().default([]),
-  chatModel: chatModelSchema.optional().default({}),
-  embeddingModel: embeddingModelSchema.optional().default({}),
+  chatModel: chatModelSchema,
+  embeddingModel: embeddingModelSchema,
   systemInstructions: z.string().nullable().optional().default(''),
 });
 
@@ -248,56 +255,16 @@ export const POST = async (req: Request) => {
       );
     }
 
-    const [chatModelProviders, embeddingModelProviders] = await Promise.all([
-      getAvailableChatModelProviders(),
-      getAvailableEmbeddingModelProviders(),
+    const registry = new ModelRegistry();
+
+    const [llm, embedding] = await Promise.all([
+      registry.loadChatModel(body.chatModel.providerId, body.chatModel.key),
+      registry.loadEmbeddingModel(
+        body.embeddingModel.providerId,
+        body.embeddingModel.key,
+      ),
     ]);
 
-    const chatModelProvider =
-      chatModelProviders[
-        body.chatModel?.provider || Object.keys(chatModelProviders)[0]
-      ];
-    const chatModel =
-      chatModelProvider[
-        body.chatModel?.name || Object.keys(chatModelProvider)[0]
-      ];
-
-    const embeddingProvider =
-      embeddingModelProviders[
-        body.embeddingModel?.provider || Object.keys(embeddingModelProviders)[0]
-      ];
-    const embeddingModel =
-      embeddingProvider[
-        body.embeddingModel?.name || Object.keys(embeddingProvider)[0]
-      ];
-
-    let llm: BaseChatModel | undefined;
-    let embedding = embeddingModel.model;
-
-    if (body.chatModel?.provider === 'custom_openai') {
-      llm = new ChatOpenAI({
-        apiKey: getCustomOpenaiApiKey(),
-        modelName: getCustomOpenaiModelName(),
-        temperature: 0.7,
-        configuration: {
-          baseURL: getCustomOpenaiApiUrl(),
-        },
-      }) as unknown as BaseChatModel;
-    } else if (chatModelProvider && chatModel) {
-      llm = chatModel.model;
-    }
-
-    if (!llm) {
-      return Response.json({ error: 'Invalid chat model' }, { status: 400 });
-    }
-
-    if (!embedding) {
-      return Response.json(
-        { error: 'Invalid embedding model' },
-        { status: 400 },
-      );
-    }
-
     const humanMessageId =
       message.messageId ?? crypto.randomBytes(7).toString('hex');
 

src/app/api/config/route.ts

@@ -1,134 +1,33 @@
-import {
-  getAnthropicApiKey,
-  getCustomOpenaiApiKey,
-  getCustomOpenaiApiUrl,
-  getCustomOpenaiModelName,
-  getGeminiApiKey,
-  getGroqApiKey,
-  getOllamaApiEndpoint,
-  getOpenaiApiKey,
-  getDeepseekApiKey,
-  getAimlApiKey,
-  getLMStudioApiEndpoint,
-  getLemonadeApiEndpoint,
-  getLemonadeApiKey,
-  updateConfig,
-  getOllamaApiKey,
-} from '@/lib/config';
-import {
-  getAvailableChatModelProviders,
-  getAvailableEmbeddingModelProviders,
-} from '@/lib/providers';
+import configManager from '@/lib/config';
+import ModelRegistry from '@/lib/models/registry';
+import { NextRequest, NextResponse } from 'next/server';
 
-export const GET = async (req: Request) => {
+export const GET = async (req: NextRequest) => {
   try {
-    const config: Record<string, any> = {};
+    const values = configManager.currentConfig;
+    const fields = configManager.getUIConfigSections();
 
-    const [chatModelProviders, embeddingModelProviders] = await Promise.all([
-      getAvailableChatModelProviders(),
-      getAvailableEmbeddingModelProviders(),
-    ]);
+    const modelRegistry = new ModelRegistry();
+    const modelProviders = await modelRegistry.getActiveProviders();
 
-    config['chatModelProviders'] = {};
-    config['embeddingModelProviders'] = {};
+    values.modelProviders = values.modelProviders.map((mp) => {
+      const activeProvider = modelProviders.find((p) => p.id === mp.id)
 
-    for (const provider in chatModelProviders) {
-      config['chatModelProviders'][provider] = Object.keys(
-        chatModelProviders[provider],
-      ).map((model) => {
-        return {
-          name: model,
-          displayName: chatModelProviders[provider][model].displayName,
-        };
-      });
-    }
+      return {
+        ...mp,
+        chatModels: activeProvider?.chatModels ?? mp.chatModels,
+        embeddingModels: activeProvider?.embeddingModels ?? mp.embeddingModels
+      }
+    })
 
-    for (const provider in embeddingModelProviders) {
-      config['embeddingModelProviders'][provider] = Object.keys(
-        embeddingModelProviders[provider],
-      ).map((model) => {
-        return {
-          name: model,
-          displayName: embeddingModelProviders[provider][model].displayName,
-        };
-      });
-    }
-
-    config['openaiApiKey'] = getOpenaiApiKey();
-    config['ollamaApiUrl'] = getOllamaApiEndpoint();
-    config['ollamaApiKey'] = getOllamaApiKey();
-    config['lmStudioApiUrl'] = getLMStudioApiEndpoint();
-    config['lemonadeApiUrl'] = getLemonadeApiEndpoint();
-    config['lemonadeApiKey'] = getLemonadeApiKey();
-    config['anthropicApiKey'] = getAnthropicApiKey();
-    config['groqApiKey'] = getGroqApiKey();
-    config['geminiApiKey'] = getGeminiApiKey();
-    config['deepseekApiKey'] = getDeepseekApiKey();
-    config['aimlApiKey'] = getAimlApiKey();
-    config['customOpenaiApiUrl'] = getCustomOpenaiApiUrl();
-    config['customOpenaiApiKey'] = getCustomOpenaiApiKey();
-    config['customOpenaiModelName'] = getCustomOpenaiModelName();
-
-    return Response.json({ ...config }, { status: 200 });
+    return NextResponse.json({
+      values,
+      fields,
+    })
   } catch (err) {
-    console.error('An error occurred while getting config:', err);
+    console.error('Error in getting config: ', err);
     return Response.json(
-      { message: 'An error occurred while getting config' },
-      { status: 500 },
-    );
-  }
-};
-
-export const POST = async (req: Request) => {
-  try {
-    const config = await req.json();
-
-    const updatedConfig = {
-      MODELS: {
-        OPENAI: {
-          API_KEY: config.openaiApiKey,
-        },
-        GROQ: {
-          API_KEY: config.groqApiKey,
-        },
-        ANTHROPIC: {
-          API_KEY: config.anthropicApiKey,
-        },
-        GEMINI: {
-          API_KEY: config.geminiApiKey,
-        },
-        OLLAMA: {
-          API_URL: config.ollamaApiUrl,
-          API_KEY: config.ollamaApiKey,
-        },
-        DEEPSEEK: {
-          API_KEY: config.deepseekApiKey,
-        },
-        AIMLAPI: {
-          API_KEY: config.aimlApiKey,
-        },
-        LM_STUDIO: {
-          API_URL: config.lmStudioApiUrl,
-        },
-        LEMONADE: {
-          API_URL: config.lemonadeApiUrl,
-          API_KEY: config.lemonadeApiKey,
-        },
-        CUSTOM_OPENAI: {
-          API_URL: config.customOpenaiApiUrl,
-          API_KEY: config.customOpenaiApiKey,
-          MODEL_NAME: config.customOpenaiModelName,
-        },
-      },
-    };
-
-    updateConfig(updatedConfig);
-
-    return Response.json({ message: 'Config updated' }, { status: 200 });
-  } catch (err) {
-    console.error('An error occurred while updating config:', err);
-    return Response.json(
-      { message: 'An error occurred while updating config' },
+      { message: 'An error has occurred.' },
       { status: 500 },
     );
   }

src/app/api/images/route.ts

@@ -1,23 +1,12 @@
 import handleImageSearch from '@/lib/chains/imageSearchAgent';
-import {
-  getCustomOpenaiApiKey,
-  getCustomOpenaiApiUrl,
-  getCustomOpenaiModelName,
-} from '@/lib/config';
-import { getAvailableChatModelProviders } from '@/lib/providers';
-import { BaseChatModel } from '@langchain/core/language_models/chat_models';
+import ModelRegistry from '@/lib/models/registry';
+import { ModelWithProvider } from '@/lib/models/types';
 import { AIMessage, BaseMessage, HumanMessage } from '@langchain/core/messages';
-import { ChatOpenAI } from '@langchain/openai';
-
-interface ChatModel {
-  provider: string;
-  model: string;
-}
 
 interface ImageSearchBody {
   query: string;
   chatHistory: any[];
-  chatModel?: ChatModel;
+  chatModel: ModelWithProvider;
 }
 
 export const POST = async (req: Request) => {
@@ -34,35 +23,12 @@ export const POST = async (req: Request) => {
       })
       .filter((msg) => msg !== undefined) as BaseMessage[];
 
-    const chatModelProviders = await getAvailableChatModelProviders();
+    const registry = new ModelRegistry();
 
-    const chatModelProvider =
-      chatModelProviders[
-        body.chatModel?.provider || Object.keys(chatModelProviders)[0]
-      ];
-    const chatModel =
-      chatModelProvider[
-        body.chatModel?.model || Object.keys(chatModelProvider)[0]
-      ];
-
-    let llm: BaseChatModel | undefined;
-
-    if (body.chatModel?.provider === 'custom_openai') {
-      llm = new ChatOpenAI({
-        apiKey: getCustomOpenaiApiKey(),
-        modelName: getCustomOpenaiModelName(),
-        temperature: 0.7,
-        configuration: {
-          baseURL: getCustomOpenaiApiUrl(),
-        },
-      }) as unknown as BaseChatModel;
-    } else if (chatModelProvider && chatModel) {
-      llm = chatModel.model;
-    }
-
-    if (!llm) {
-      return Response.json({ error: 'Invalid chat model' }, { status: 400 });
-    }
+    const llm = await registry.loadChatModel(
+      body.chatModel.providerId,
+      body.chatModel.key,
+    );
 
     const images = await handleImageSearch(
       {

src/app/api/suggestions/route.ts

@@ -1,22 +1,12 @@
 import generateSuggestions from '@/lib/chains/suggestionGeneratorAgent';
-import {
-  getCustomOpenaiApiKey,
-  getCustomOpenaiApiUrl,
-  getCustomOpenaiModelName,
-} from '@/lib/config';
-import { getAvailableChatModelProviders } from '@/lib/providers';
+import ModelRegistry from '@/lib/models/registry';
+import { ModelWithProvider } from '@/lib/models/types';
 import { BaseChatModel } from '@langchain/core/language_models/chat_models';
 import { AIMessage, BaseMessage, HumanMessage } from '@langchain/core/messages';
-import { ChatOpenAI } from '@langchain/openai';
-
-interface ChatModel {
-  provider: string;
-  model: string;
-}
 
 interface SuggestionsGenerationBody {
   chatHistory: any[];
-  chatModel?: ChatModel;
+  chatModel: ModelWithProvider;
 }
 
 export const POST = async (req: Request) => {
@@ -33,35 +23,12 @@ export const POST = async (req: Request) => {
       })
       .filter((msg) => msg !== undefined) as BaseMessage[];
 
-    const chatModelProviders = await getAvailableChatModelProviders();
+    const registry = new ModelRegistry();
 
-    const chatModelProvider =
-      chatModelProviders[
-        body.chatModel?.provider || Object.keys(chatModelProviders)[0]
-      ];
-    const chatModel =
-      chatModelProvider[
-        body.chatModel?.model || Object.keys(chatModelProvider)[0]
-      ];
-
-    let llm: BaseChatModel | undefined;
-
-    if (body.chatModel?.provider === 'custom_openai') {
-      llm = new ChatOpenAI({
-        apiKey: getCustomOpenaiApiKey(),
-        modelName: getCustomOpenaiModelName(),
-        temperature: 0.7,
-        configuration: {
-          baseURL: getCustomOpenaiApiUrl(),
-        },
-      }) as unknown as BaseChatModel;
-    } else if (chatModelProvider && chatModel) {
-      llm = chatModel.model;
-    }
-
-    if (!llm) {
-      return Response.json({ error: 'Invalid chat model' }, { status: 400 });
-    }
+    const llm = await registry.loadChatModel(
+      body.chatModel.providerId,
+      body.chatModel.key,
+    );
 
     const suggestions = await generateSuggestions(
       {

src/app/api/videos/route.ts

@@ -1,23 +1,12 @@
 import handleVideoSearch from '@/lib/chains/videoSearchAgent';
-import {
-  getCustomOpenaiApiKey,
-  getCustomOpenaiApiUrl,
-  getCustomOpenaiModelName,
-} from '@/lib/config';
-import { getAvailableChatModelProviders } from '@/lib/providers';
-import { BaseChatModel } from '@langchain/core/language_models/chat_models';
+import ModelRegistry from '@/lib/models/registry';
+import { ModelWithProvider } from '@/lib/models/types';
 import { AIMessage, BaseMessage, HumanMessage } from '@langchain/core/messages';
-import { ChatOpenAI } from '@langchain/openai';
-
-interface ChatModel {
-  provider: string;
-  model: string;
-}
 
 interface VideoSearchBody {
   query: string;
   chatHistory: any[];
-  chatModel?: ChatModel;
+  chatModel: ModelWithProvider;
 }
 
 export const POST = async (req: Request) => {
@@ -34,35 +23,12 @@ export const POST = async (req: Request) => {
       })
       .filter((msg) => msg !== undefined) as BaseMessage[];
 
-    const chatModelProviders = await getAvailableChatModelProviders();
+    const registry = new ModelRegistry();
 
-    const chatModelProvider =
-      chatModelProviders[
-        body.chatModel?.provider || Object.keys(chatModelProviders)[0]
-      ];
-    const chatModel =
-      chatModelProvider[
-        body.chatModel?.model || Object.keys(chatModelProvider)[0]
-      ];
-
-    let llm: BaseChatModel | undefined;
-
-    if (body.chatModel?.provider === 'custom_openai') {
-      llm = new ChatOpenAI({
-        apiKey: getCustomOpenaiApiKey(),
-        modelName: getCustomOpenaiModelName(),
-        temperature: 0.7,
-        configuration: {
-          baseURL: getCustomOpenaiApiUrl(),
-        },
-      }) as unknown as BaseChatModel;
-    } else if (chatModelProvider && chatModel) {
-      llm = chatModel.model;
-    }
-
-    if (!llm) {
-      return Response.json({ error: 'Invalid chat model' }, { status: 400 });
-    }
+    const llm = await registry.loadChatModel(
+      body.chatModel.providerId,
+      body.chatModel.key,
+    );
 
     const videos = await handleVideoSearch(
       {

src/components/SearchImages.tsx

@@ -33,11 +33,10 @@ const SearchImages = ({
           onClick={async () => {
             setLoading(true);
 
-            const chatModelProvider = localStorage.getItem('chatModelProvider');
-            const chatModel = localStorage.getItem('chatModel');
-
-            const customOpenAIBaseURL = localStorage.getItem('openAIBaseURL');
-            const customOpenAIKey = localStorage.getItem('openAIApiKey');
+            const chatModelProvider = localStorage.getItem(
+              'chatModelProviderId',
+            );
+            const chatModel = localStorage.getItem('chatModelKey');
 
             const res = await fetch(`/api/images`, {
               method: 'POST',
@@ -48,12 +47,8 @@ const SearchImages = ({
                 query: query,
                 chatHistory: chatHistory,
                 chatModel: {
-                  provider: chatModelProvider,
-                  model: chatModel,
-                  ...(chatModelProvider === 'custom_openai' && {
-                    customOpenAIBaseURL: customOpenAIBaseURL,
-                    customOpenAIKey: customOpenAIKey,
-                  }),
+                  providerId: chatModelProvider,
+                  key: chatModel,
                 },
               }),
             });

src/components/SearchVideos.tsx

@@ -48,11 +48,10 @@ const Searchvideos = ({
           onClick={async () => {
             setLoading(true);
 
-            const chatModelProvider = localStorage.getItem('chatModelProvider');
-            const chatModel = localStorage.getItem('chatModel');
-
-            const customOpenAIBaseURL = localStorage.getItem('openAIBaseURL');
-            const customOpenAIKey = localStorage.getItem('openAIApiKey');
+            const chatModelProvider = localStorage.getItem(
+              'chatModelProviderId',
+            );
+            const chatModel = localStorage.getItem('chatModelKey');
 
             const res = await fetch(`/api/videos`, {
               method: 'POST',
@@ -63,12 +62,8 @@ const Searchvideos = ({
                 query: query,
                 chatHistory: chatHistory,
                 chatModel: {
-                  provider: chatModelProvider,
-                  model: chatModel,
-                  ...(chatModelProvider === 'custom_openai' && {
-                    customOpenAIBaseURL: customOpenAIBaseURL,
-                    customOpenAIKey: customOpenAIKey,
-                  }),
+                  providerId: chatModelProvider,
+                  key: chatModel,
                 },
               }),
             });

src/components/Sidebar.tsx

@@ -70,7 +70,7 @@ const Sidebar = ({ children }: { children: React.ReactNode }) => {
         </div>
       </div>
 
-      <div className="fixed bottom-0 w-full z-50 flex flex-row items-center gap-x-6 bg-light-primary dark:bg-dark-primary px-4 py-4 shadow-sm lg:hidden">
+      <div className="fixed bottom-0 w-full z-50 flex flex-row items-center gap-x-6 bg-light-secondary dark:bg-dark-secondary px-4 py-4 shadow-sm lg:hidden">
         {navLinks.map((link, i) => (
           <Link
             href={link.href}

src/lib/actions.ts

@@ -1,11 +1,8 @@
 import { Message } from '@/components/ChatWindow';
 
 export const getSuggestions = async (chatHistory: Message[]) => {
-  const chatModel = localStorage.getItem('chatModel');
-  const chatModelProvider = localStorage.getItem('chatModelProvider');
-
-  const customOpenAIKey = localStorage.getItem('openAIApiKey');
-  const customOpenAIBaseURL = localStorage.getItem('openAIBaseURL');
+  const chatModel = localStorage.getItem('chatModelKey');
+  const chatModelProvider = localStorage.getItem('chatModelProviderId');
 
   const res = await fetch(`/api/suggestions`, {
     method: 'POST',
@@ -15,12 +12,8 @@ export const getSuggestions = async (chatHistory: Message[]) => {
     body: JSON.stringify({
       chatHistory: chatHistory,
       chatModel: {
-        provider: chatModelProvider,
-        model: chatModel,
-        ...(chatModelProvider === 'custom_openai' && {
-          customOpenAIKey,
-          customOpenAIBaseURL,
-        }),
+        providerId: chatModelProvider,
+        key: chatModel,
       },
     }),
   });

src/lib/config/index.ts

@@ -15,10 +15,26 @@ class ConfigManager {
     setupComplete: false,
     general: {},
     modelProviders: [],
+    search: {
+      searxngURL: '',
+    },
   };
   uiConfigSections: UIConfigSections = {
     general: [],
     modelProviders: [],
+    search: [
+      {
+        name: 'SearXNG URL',
+        key: 'searxngURL',
+        type: 'string',
+        required: false,
+        description: 'The URL of your SearXNG instance',
+        placeholder: 'http://localhost:4000',
+        default: '',
+        scope: 'server',
+        env: 'SEARXNG_API_URL',
+      },
+    ],
   };
 
   constructor() {
@@ -78,6 +94,7 @@ class ConfigManager {
   }
 
   private initializeFromEnv() {
+    /* providers section*/
     const providerConfigSections = getModelProvidersUIConfigSection();
 
     this.uiConfigSections.modelProviders = providerConfigSections;
@@ -130,6 +147,14 @@ class ConfigManager {
 
     this.currentConfig.modelProviders.push(...newProviders);
 
+    /* search section */
+    this.uiConfigSections.search.forEach((f) => {
+      if (f.env && !this.currentConfig.search[f.key]) {
+        this.currentConfig.search[f.key] =
+          process.env[f.env] ?? f.default ?? '';
+      }
+    });
+
     this.saveConfig();
   }
 
@@ -196,15 +221,19 @@ class ConfigManager {
   }
 
   public isSetupComplete() {
-    return this.currentConfig.setupComplete
+    return this.currentConfig.setupComplete;
   }
 
   public markSetupComplete() {
     if (!this.currentConfig.setupComplete) {
-      this.currentConfig.setupComplete = true
+      this.currentConfig.setupComplete = true;
     }
 
-    this.saveConfig()
+    this.saveConfig();
+  }
+
+  public getUIConfigSections(): UIConfigSections {
+    return this.uiConfigSections;
   }
 }
 

src/lib/models/registry.ts

@@ -53,6 +53,26 @@ class ModelRegistry {
 
     return providers;
   }
+
+  async loadChatModel(providerId: string, modelName: string) {
+    const provider = this.activeProviders.find((p) => p.id === providerId);
+
+    if (!provider) throw new Error('Invalid provider id');
+
+    const model = await provider.provider.loadChatModel(modelName);
+
+    return model;
+  }
+
+  async loadEmbeddingModel(providerId: string, modelName: string) {
+    const provider = this.activeProviders.find((p) => p.id === providerId);
+
+    if (!provider) throw new Error('Invalid provider id');
+
+    const model = await provider.provider.loadEmbeddingModel(modelName);
+
+    return model;
+  }
 }
 
 export default ModelRegistry;

src/lib/models/types.ts

@@ -20,4 +20,15 @@ type MinimalProvider = {
   embeddingModels: Model[];
 };
 
-export type { Model, ModelList, ProviderMetadata, MinimalProvider };
+type ModelWithProvider = {
+  key: string;
+  providerId: string;
+};
+
+export type {
+  Model,
+  ModelList,
+  ProviderMetadata,
+  MinimalProvider,
+  ModelWithProvider,
+};

src/lib/types/compute-dot.d.ts

@@ -1,5 +0,0 @@
-declare function computeDot(vectorA: number[], vectorB: number[]): number;
-
-declare module 'compute-dot' {
-  export default computeDot;
-}

src/lib/utils/computeSimilarity.ts

@@ -1,17 +1,7 @@
-import dot from 'compute-dot';
 import cosineSimilarity from 'compute-cosine-similarity';
-import { getSimilarityMeasure } from '../config';
 
 const computeSimilarity = (x: number[], y: number[]): number => {
-  const similarityMeasure = getSimilarityMeasure();
-
-  if (similarityMeasure === 'cosine') {
-    return cosineSimilarity(x, y) as number;
-  } else if (similarityMeasure === 'dot') {
-    return dot(x, y);
-  }
-
-  throw new Error('Invalid similarity measure');
+  return cosineSimilarity(x, y) as number;
 };
 
 export default computeSimilarity;

yarn.lock

@@ -2709,6 +2709,15 @@ fraction.js@^4.3.7:
   resolved "https://registry.yarnpkg.com/fraction.js/-/fraction.js-4.3.7.tgz#06ca0085157e42fda7f9e726e79fefc4068840f7"
   integrity sha512-ZsDfxO51wGAXREY55a7la9LScWpwv9RxIrYABrlvOFBlH/ShPnrtsXeuUIfXKKOVicNxQ+o8JTbJvjS4M89yew==
 
+framer-motion@^12.23.24:
+  version "12.23.24"
+  resolved "https://registry.yarnpkg.com/framer-motion/-/framer-motion-12.23.24.tgz#4895b67e880bd2b1089e61fbaa32ae802fc24b8c"
+  integrity sha512-HMi5HRoRCTou+3fb3h9oTLyJGBxHfW+HnNE25tAXOvVx/IvwMHK0cx7IR4a2ZU6sh3IX1Z+4ts32PcYBOqka8w==
+  dependencies:
+    motion-dom "^12.23.23"
+    motion-utils "^12.23.6"
+    tslib "^2.4.0"
+
 fs-constants@^1.0.0:
   version "1.0.0"
   resolved "https://registry.yarnpkg.com/fs-constants/-/fs-constants-1.0.0.tgz#6be0de9be998ce16af8afc24497b9ee9b7ccd9ad"
@@ -3674,6 +3683,18 @@ mkdirp-classic@^0.5.2, mkdirp-classic@^0.5.3:
   resolved "https://registry.yarnpkg.com/mkdirp-classic/-/mkdirp-classic-0.5.3.tgz#fa10c9115cc6d8865be221ba47ee9bed78601113"
   integrity sha512-gKLcREMhtuZRwRAfqP3RFW+TK4JqApVBtOIftVgjuABpAtpxhPGaDcfvbhNvD0B8iD1oUr/txX35NjcaY6Ns/A==
 
+motion-dom@^12.23.23:
+  version "12.23.23"
+  resolved "https://registry.yarnpkg.com/motion-dom/-/motion-dom-12.23.23.tgz#8f874333ea1a04ee3a89eb928f518b463d589e0e"
+  integrity sha512-n5yolOs0TQQBRUFImrRfs/+6X4p3Q4n1dUEqt/H58Vx7OW6RF+foWEgmTVDhIWJIMXOuNNL0apKH2S16en9eiA==
+  dependencies:
+    motion-utils "^12.23.6"
+
+motion-utils@^12.23.6:
+  version "12.23.6"
+  resolved "https://registry.yarnpkg.com/motion-utils/-/motion-utils-12.23.6.tgz#fafef80b4ea85122dd0d6c599a0c63d72881f312"
+  integrity sha512-eAWoPgr4eFEOFfg2WjIsMoqJTW6Z8MTUCgn/GZ3VRpClWBdnbjryiA3ZSNLyxCTmCQx4RmYX6jX1iWHbenUPNQ==
+
 ms@2.1.2:
   version "2.1.2"
   resolved "https://registry.yarnpkg.com/ms/-/ms-2.1.2.tgz#d09d1f357b443f493382a8eb3ccd183872ae6009"