Merge pull request #2 from ItzCrazyKns/master

merge

src/agents/suggestionGeneratorAgent.ts

@@ -47,7 +47,7 @@ const generateSuggestions = (
   input: SuggestionGeneratorInput,
   llm: BaseChatModel,
 ) => {
-  (llm as ChatOpenAI).temperature = 0;
+  (llm as unknown as ChatOpenAI).temperature = 0;
   const suggestionGeneratorChain = createSuggestionGeneratorChain(llm);
   return suggestionGeneratorChain.invoke(input);
 };

src/lib/providers/groq.ts

@@ -5,6 +5,8 @@ import logger from '../../utils/logger';
 export const loadGroqChatModels = async () => {
   const groqApiKey = getGroqApiKey();
 
+  if (!groqApiKey) return {};
+
   try {
     const chatModels = {
       'LLaMA3 8b': new ChatOpenAI(

src/lib/providers/index.ts

@@ -1,7 +1,7 @@
 import { loadGroqChatModels } from './groq';
-import { loadOllamaChatModels } from './ollama';
-import { loadOpenAIChatModels, loadOpenAIEmbeddingsModel } from './openai';
-import { loadTransformersEmbeddingsModel } from './transformers';
+import { loadOllamaChatModels, loadOllamaEmbeddingsModels } from './ollama';
+import { loadOpenAIChatModels, loadOpenAIEmbeddingsModels } from './openai';
+import { loadTransformersEmbeddingsModels } from './transformers';
 
 const chatModelProviders = {
   openai: loadOpenAIChatModels,
@@ -10,18 +10,23 @@ const chatModelProviders = {
 };
 
 const embeddingModelProviders = {
-  openai: loadOpenAIEmbeddingsModel,
-  local: loadTransformersEmbeddingsModel,
-  ollama: loadOllamaChatModels,
+  openai: loadOpenAIEmbeddingsModels,
+  local: loadTransformersEmbeddingsModels,
+  ollama: loadOllamaEmbeddingsModels,
 };
 
 export const getAvailableChatModelProviders = async () => {
   const models = {};
 
   for (const provider in chatModelProviders) {
-    models[provider] = await chatModelProviders[provider]();
+    const providerModels = await chatModelProviders[provider]();
+    if (Object.keys(providerModels).length > 0) {
+      models[provider] = providerModels
+    }
   }
 
+  models['custom_openai'] = {}
+
   return models;
 };
 
@@ -29,7 +34,10 @@ export const getAvailableEmbeddingModelProviders = async () => {
   const models = {};
 
   for (const provider in embeddingModelProviders) {
-    models[provider] = await embeddingModelProviders[provider]();
+    const providerModels = await embeddingModelProviders[provider]();
+    if (Object.keys(providerModels).length > 0) {
+      models[provider] = providerModels
+    }
   }
 
   return models;

src/lib/providers/ollama.ts

@@ -6,6 +6,8 @@ import { ChatOllama } from '@langchain/community/chat_models/ollama';
 export const loadOllamaChatModels = async () => {
   const ollamaEndpoint = getOllamaApiEndpoint();
 
+  if (!ollamaEndpoint) return {};
+
   try {
     const response = await fetch(`${ollamaEndpoint}/api/tags`, {
       headers: {
@@ -31,9 +33,11 @@ export const loadOllamaChatModels = async () => {
   }
 };
 
-export const loadOpenAIEmbeddingsModel = async () => {
+export const loadOllamaEmbeddingsModels = async () => {
   const ollamaEndpoint = getOllamaApiEndpoint();
 
+  if (!ollamaEndpoint) return {};
+
   try {
     const response = await fetch(`${ollamaEndpoint}/api/tags`, {
       headers: {

src/lib/providers/openai.ts

@@ -5,6 +5,8 @@ import logger from '../../utils/logger';
 export const loadOpenAIChatModels = async () => {
   const openAIApiKey = getOpenaiApiKey();
 
+  if (!openAIApiKey) return {};
+
   try {
     const chatModels = {
       'GPT-3.5 turbo': new ChatOpenAI({
@@ -36,9 +38,11 @@ export const loadOpenAIChatModels = async () => {
   }
 };
 
-export const loadOpenAIEmbeddingsModel = async () => {
+export const loadOpenAIEmbeddingsModels = async () => {
   const openAIApiKey = getOpenaiApiKey();
 
+  if (!openAIApiKey) return {};
+
   try {
     const embeddingModels = {
       'Text embedding 3 small': new OpenAIEmbeddings({

src/lib/providers/transformers.ts

@@ -1,7 +1,7 @@
 import logger from '../../utils/logger';
 import { HuggingFaceTransformersEmbeddings } from '../huggingfaceTransformer';
 
-export const loadTransformersEmbeddingsModel = async () => {
+export const loadTransformersEmbeddingsModels = async () => {
   try {
     const embeddingModels = {
       'BGE Small': new HuggingFaceTransformersEmbeddings({

src/websocket/connectionManager.ts

@@ -45,7 +45,7 @@ export const handleConnection = async (
       chatModelProviders[chatModelProvider][chatModel] &&
       chatModelProvider != 'custom_openai'
     ) {
-      llm = chatModelProviders[chatModelProvider][chatModel] as
+      llm = chatModelProviders[chatModelProvider][chatModel] as unknown as
         | BaseChatModel
         | undefined;
     } else if (chatModelProvider == 'custom_openai') {
@@ -56,7 +56,7 @@ export const handleConnection = async (
         configuration: {
           baseURL: searchParams.get('openAIBaseURL'),
         },
-      });
+      }) as unknown as BaseChatModel;
     }
 
     if (

ui/components/ChatWindow.tsx

@@ -83,6 +83,55 @@ const useSocket = (
             'embeddingModelProvider',
             embeddingModelProvider,
           );
+        } else {
+          const providers = await fetch(
+            `${process.env.NEXT_PUBLIC_API_URL}/models`,
+            {
+              headers: {
+                'Content-Type': 'application/json',
+              },
+            },
+          ).then(async (res) => await res.json());
+
+          const chatModelProviders = providers.chatModelProviders;
+          const embeddingModelProviders = providers.embeddingModelProviders;
+
+          if (
+            Object.keys(chatModelProviders).length > 0 &&
+            !chatModelProviders[chatModelProvider]
+          ) {
+            chatModelProvider = Object.keys(chatModelProviders)[0];
+            localStorage.setItem('chatModelProvider', chatModelProvider);
+          }
+
+          if (
+            chatModelProvider &&
+            !chatModelProviders[chatModelProvider][chatModel]
+          ) {
+            chatModel = Object.keys(chatModelProviders[chatModelProvider])[0];
+            localStorage.setItem('chatModel', chatModel);
+          }
+
+          if (
+            Object.keys(embeddingModelProviders).length > 0 &&
+            !embeddingModelProviders[embeddingModelProvider]
+          ) {
+            embeddingModelProvider = Object.keys(embeddingModelProviders)[0];
+            localStorage.setItem(
+              'embeddingModelProvider',
+              embeddingModelProvider,
+            );
+          }
+
+          if (
+            embeddingModelProvider &&
+            !embeddingModelProviders[embeddingModelProvider][embeddingModel]
+          ) {
+            embeddingModel = Object.keys(
+              embeddingModelProviders[embeddingModelProvider],
+            )[0];
+            localStorage.setItem('embeddingModel', embeddingModel);
+          }
         }
 
         const wsURL = new URL(url);