feat: Add LM Studio Support and Thinking Model Panel

LM Studio Integration:
- Added LM Studio provider with OpenAI-compatible API support
- Dynamic model discovery via /v1/models endpoint
- Support for both chat and embeddings models
- Docker-compatible networking configuration

Thinking Model Panel:
- Added collapsible UI panel for model's chain of thought
- Parses responses with <think> tags to separate reasoning
- Maintains backward compatibility with regular responses
- Styled consistently with app theme for light/dark modes
- Preserves all existing message functionality (sources, markdown, etc.)

These improvements enhance the app's compatibility with local LLMs and
provide better visibility into model reasoning processes while maintaining
existing functionality.

src/config.ts

@@ -33,6 +33,8 @@ interface Config {
     };
   };
   API_ENDPOINTS: {  
+    OLLAMA: string;
+    LMSTUDIO: string;
     SEARXNG: string;
   };
 }
@@ -64,7 +66,9 @@ export const getGeminiApiKey = () => loadConfig().MODELS.GEMINI.API_KEY;
 export const getSearxngApiEndpoint = () =>
   process.env.SEARXNG_API_URL || loadConfig().API_ENDPOINTS.SEARXNG;
 
-export const getOllamaApiEndpoint = () => loadConfig().MODELS.OLLAMA.API_URL;
+export const getOllamaApiEndpoint = () => loadConfig().API_ENDPOINTS.OLLAMA;
+
+export const getLMStudioApiEndpoint = () => loadConfig().API_ENDPOINTS.LMSTUDIO;
 
 export const getCustomOpenaiApiKey = () =>
   loadConfig().MODELS.CUSTOM_OPENAI.API_KEY;

src/lib/providers/index.ts

@@ -4,6 +4,7 @@ import { loadOpenAIChatModels, loadOpenAIEmbeddingsModels } from './openai';
 import { loadAnthropicChatModels } from './anthropic';
 import { loadTransformersEmbeddingsModels } from './transformers';
 import { loadGeminiChatModels, loadGeminiEmbeddingsModels } from './gemini';
+import { loadLMStudioChatModels, loadLMStudioEmbeddingsModels } from './lmstudio';
 import {
   getCustomOpenaiApiKey,
   getCustomOpenaiApiUrl,
@@ -17,6 +18,7 @@ const chatModelProviders = {
   ollama: loadOllamaChatModels,
   anthropic: loadAnthropicChatModels,
   gemini: loadGeminiChatModels,
+  lm_studio: loadLMStudioChatModels,
 };
 
 const embeddingModelProviders = {
@@ -24,6 +26,7 @@ const embeddingModelProviders = {
   local: loadTransformersEmbeddingsModels,
   ollama: loadOllamaEmbeddingsModels,
   gemini: loadGeminiEmbeddingsModels,
+  lm_studio: loadLMStudioEmbeddingsModels,
 };
 
 export const getAvailableChatModelProviders = async () => {

src/lib/providers/lmstudio.ts

@@ -0,0 +1,89 @@
+import { OpenAIEmbeddings } from '@langchain/openai';
+import { ChatOpenAI } from '@langchain/openai';
+import { getKeepAlive, getLMStudioApiEndpoint } from '../../config';
+import logger from '../../utils/logger';
+import axios from 'axios';
+
+interface LMStudioModel {
+  id: string;
+  // add other properties if LM Studio API provides them
+}
+
+interface ChatModelConfig {
+  displayName: string;
+  model: ChatOpenAI;
+}
+
+export const loadLMStudioChatModels = async (): Promise<Record<string, ChatModelConfig>> => {
+  const lmStudioEndpoint = getLMStudioApiEndpoint();
+
+  if (!lmStudioEndpoint) {
+    logger.debug('LM Studio endpoint not configured, skipping');
+    return {};
+  }
+
+  try {
+    const response = await axios.get<{ data: LMStudioModel[] }>(`${lmStudioEndpoint}/models`, {
+      headers: {
+        'Content-Type': 'application/json',
+      },
+    });
+
+    const lmStudioModels = response.data.data;
+
+    const chatModels = lmStudioModels.reduce<Record<string, ChatModelConfig>>((acc, model) => {
+      acc[model.id] = {
+        displayName: model.id,
+        model: new ChatOpenAI({
+          openAIApiKey: 'lm-studio',
+          configuration: {
+            baseURL: lmStudioEndpoint,
+          },
+          modelName: model.id,
+          temperature: 0.7,
+        }),
+      };
+      return acc;
+    }, {});
+
+    return chatModels;
+  } catch (err) {
+    logger.error(`Error loading LM Studio models: ${err}`);
+    return {};
+  }
+};
+
+export const loadLMStudioEmbeddingsModels = async () => {
+  const lmStudioEndpoint = getLMStudioApiEndpoint();
+
+  if (!lmStudioEndpoint) return {};
+
+  try {
+    const response = await axios.get(`${lmStudioEndpoint}/models`, {
+      headers: {
+        'Content-Type': 'application/json',
+      },
+    });
+
+    const lmStudioModels = response.data.data;
+
+    const embeddingsModels = lmStudioModels.reduce((acc, model) => {
+      acc[model.id] = {
+        displayName: model.id,
+        model: new OpenAIEmbeddings({
+          openAIApiKey: 'lm-studio', // Dummy key required by LangChain
+          configuration: {
+            baseURL: lmStudioEndpoint,
+          },
+          modelName: model.id,
+        }),
+      };
+      return acc;
+    }, {});
+
+    return embeddingsModels;
+  } catch (err) {
+    logger.error(`Error loading LM Studio embeddings model: ${err}`);
+    return {};
+  }
+};

src/routes/config.ts

@@ -6,6 +6,7 @@ import {
 import {
   getGroqApiKey,
   getOllamaApiEndpoint,
+  getLMStudioApiEndpoint,
   getAnthropicApiKey,
   getGeminiApiKey,
   getOpenaiApiKey,
@@ -54,6 +55,7 @@ router.get('/', async (_, res) => {
 
     config['openaiApiKey'] = getOpenaiApiKey();
     config['ollamaApiUrl'] = getOllamaApiEndpoint();
+    config['lmStudioApiUrl'] = getLMStudioApiEndpoint();
     config['anthropicApiKey'] = getAnthropicApiKey();
     config['groqApiKey'] = getGroqApiKey();
     config['geminiApiKey'] = getGeminiApiKey();

ui/components/MessageBox.tsx

@@ -11,6 +11,8 @@ import {
   StopCircle,
   Layers3,
   Plus,
+  Brain,
+  ChevronDown,
 } from 'lucide-react';
 import Markdown from 'markdown-to-jsx';
 import Copy from './MessageActions/Copy';
@@ -41,26 +43,48 @@ const MessageBox = ({
 }) => {
   const [parsedMessage, setParsedMessage] = useState(message.content);
   const [speechMessage, setSpeechMessage] = useState(message.content);
+  const [thinking, setThinking] = useState<string>('');
+  const [answer, setAnswer] = useState<string>('');
+  const [isThinkingExpanded, setIsThinkingExpanded] = useState(false);
 
   useEffect(() => {
     const regex = /\[(\d+)\]/g;
 
-    if (
-      message.role === 'assistant' &&
-      message?.sources &&
-      message.sources.length > 0
-    ) {
-      return setParsedMessage(
-        message.content.replace(
-          regex,
-          (_, number) =>
-            `<a href="${message.sources?.[number - 1]?.metadata?.url}" target="_blank" className="bg-light-secondary dark:bg-dark-secondary px-1 rounded ml-1 no-underline text-xs text-black/70 dark:text-white/70 relative">${number}</a>`,
-        ),
-      );
-    }
+    // First check for thinking content
+    const match = message.content.match(/<think>(.*?)<\/think>(.*)/s);
+    if (match) {
+      const [_, thinkingContent, answerContent] = match;
+      setThinking(thinkingContent.trim());
+      setAnswer(answerContent.trim());
 
-    setSpeechMessage(message.content.replace(regex, ''));
-    setParsedMessage(message.content);
+      // Process the answer part for sources if needed
+      if (message.role === 'assistant' && message?.sources && message.sources.length > 0) {
+        setParsedMessage(
+          answerContent.trim().replace(
+            regex,
+            (_, number) =>
+              `<a href="${message.sources?.[number - 1]?.metadata?.url}" target="_blank" className="bg-light-secondary dark:bg-dark-secondary px-1 rounded ml-1 no-underline text-xs text-black/70 dark:text-white/70 relative">${number}</a>`,
+          ),
+        );
+      } else {
+        setParsedMessage(answerContent.trim());
+      }
+      setSpeechMessage(answerContent.trim().replace(regex, ''));
+    } else {
+      // No thinking content - process as before
+      if (message.role === 'assistant' && message?.sources && message.sources.length > 0) {
+        setParsedMessage(
+          message.content.replace(
+            regex,
+            (_, number) =>
+              `<a href="${message.sources?.[number - 1]?.metadata?.url}" target="_blank" className="bg-light-secondary dark:bg-dark-secondary px-1 rounded ml-1 no-underline text-xs text-black/70 dark:text-white/70 relative">${number}</a>`,
+          ),
+        );
+      } else {
+        setParsedMessage(message.content);
+      }
+      setSpeechMessage(message.content.replace(regex, ''));
+    }
   }, [message.content, message.sources, message.role]);
 
   const { speechStatus, start, stop } = useSpeech({ text: speechMessage });
@@ -81,6 +105,37 @@ const MessageBox = ({
             ref={dividerRef}
             className="flex flex-col space-y-6 w-full lg:w-9/12"
           >
+            {thinking && (
+              <div className="flex flex-col space-y-2 mb-4">
+                <button 
+                  onClick={() => setIsThinkingExpanded(!isThinkingExpanded)}
+                  className="flex flex-row items-center space-x-2 group text-black/70 dark:text-white/70 hover:text-black dark:hover:text-white transition duration-200"
+                >
+                  <Brain size={20} />
+                  <h3 className="font-medium text-xl">View Thinking</h3>
+                  <ChevronDown 
+                    size={16}
+                    className={cn(
+                      "transition-transform duration-200",
+                      isThinkingExpanded ? "rotate-180" : ""
+                    )} 
+                  />
+                </button>
+                
+                {isThinkingExpanded && (
+                  <div className="rounded-lg bg-light-secondary/50 dark:bg-dark-secondary/50 p-4">
+                    <Markdown
+                      className={cn(
+                        'prose dark:prose-invert text-sm leading-relaxed',
+                        'max-w-none break-words'
+                      )}
+                    >
+                      {thinking}
+                    </Markdown>
+                  </div>
+                )}
+              </div>
+            )}
             {message.sources && message.sources.length > 0 && (
               <div className="flex flex-col space-y-2">
                 <div className="flex flex-row items-center space-x-2">
@@ -199,4 +254,3 @@ const MessageBox = ({
   );
 };
 
-export default MessageBox;