feat(providers): fix loading issues

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,
@@ -10,16 +10,19 @@ 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'] = {}
@@ -31,7 +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({