Add DeepSeek and LMStudio providers

- Integrate DeepSeek and LMStudio AI providers
- Add message processing utilities for improved handling
- Implement reasoning panel for message actions
- Add logging functionality to UI
- Update configurations and dependencies

src/lib/providers/deepseek.ts

@@ -0,0 +1,69 @@
+import { DeepSeekChat } from '../deepseekChat';
+import logger from '../../utils/logger';
+import { getDeepseekApiKey } from '../../config';
+import axios from 'axios';
+
+interface DeepSeekModel {
+  id: string;
+  object: string;
+  owned_by: string;
+}
+
+interface ModelListResponse {
+  object: 'list';
+  data: DeepSeekModel[];
+}
+
+interface ChatModelConfig {
+  displayName: string;
+  model: DeepSeekChat;
+}
+
+const MODEL_DISPLAY_NAMES: Record<string, string> = {
+  'deepseek-reasoner': 'DeepSeek R1',
+  'deepseek-chat': 'DeepSeek V3'
+};
+
+export const loadDeepSeekChatModels = async (): Promise<Record<string, ChatModelConfig>> => {
+  const deepSeekEndpoint = 'https://api.deepseek.com'; 
+
+  const apiKey = getDeepseekApiKey();
+  if (!apiKey) return {}; 
+
+  if (!deepSeekEndpoint || !apiKey) {
+    logger.debug('DeepSeek endpoint or API key not configured, skipping');
+    return {};
+  }
+
+  try {
+    const response = await axios.get<{ data: DeepSeekModel[] }>(`${deepSeekEndpoint}/models`, {
+      headers: {
+        'Content-Type': 'application/json',
+        'Authorization': `Bearer ${apiKey}`,
+      },
+    });
+
+    const deepSeekModels = response.data.data;
+
+    const chatModels = deepSeekModels.reduce<Record<string, ChatModelConfig>>((acc, model) => {
+      // Only include models we have display names for
+      if (model.id in MODEL_DISPLAY_NAMES) {
+        acc[model.id] = {
+          displayName: MODEL_DISPLAY_NAMES[model.id],
+          model: new DeepSeekChat({
+            apiKey,
+            baseURL: deepSeekEndpoint,
+            modelName: model.id,
+            temperature: 0.7,
+          }),
+        };
+      }
+      return acc;
+    }, {});
+
+    return chatModels;
+  } catch (err) {
+    logger.error(`Error loading DeepSeek models: ${String(err)}`);
+    return {};
+  }
+};

src/lib/providers/index.ts

@@ -4,6 +4,8 @@ import { loadOpenAIChatModels, loadOpenAIEmbeddingsModels } from './openai';
 import { loadAnthropicChatModels } from './anthropic';
 import { loadTransformersEmbeddingsModels } from './transformers';
 import { loadGeminiChatModels, loadGeminiEmbeddingsModels } from './gemini';
+import { loadDeepSeekChatModels } from './deepseek';
+import { loadLMStudioChatModels, loadLMStudioEmbeddingsModels } from './lmstudio';
 import {
   getCustomOpenaiApiKey,
   getCustomOpenaiApiUrl,
@@ -17,6 +19,8 @@ const chatModelProviders = {
   ollama: loadOllamaChatModels,
   anthropic: loadAnthropicChatModels,
   gemini: loadGeminiChatModels,
+  deepseek: loadDeepSeekChatModels,
+  lm_studio: loadLMStudioChatModels,
 };
 
 const embeddingModelProviders = {
@@ -24,6 +28,7 @@ const embeddingModelProviders = {
   local: loadTransformersEmbeddingsModels,
   ollama: loadOllamaEmbeddingsModels,
   gemini: loadGeminiEmbeddingsModels,
+  lm_studio: loadLMStudioEmbeddingsModels,
 };
 
 export const getAvailableChatModelProviders = async () => {

src/lib/providers/lmstudio.ts

@@ -0,0 +1,96 @@
+import { ChatOpenAI, OpenAIEmbeddings } from '@langchain/openai';
+import { getLMStudioApiEndpoint, getKeepAlive } from '../../config';
+import logger from '../../utils/logger';
+import axios from 'axios';
+
+interface LMStudioModel {
+  id: string;
+  name?: string;
+}
+
+const ensureV1Endpoint = (endpoint: string): string => 
+  endpoint.endsWith('/v1') ? endpoint : `${endpoint}/v1`;
+
+const checkServerAvailability = async (endpoint: string): Promise<boolean> => {
+  try {
+    const keepAlive = getKeepAlive();
+    await axios.get(`${ensureV1Endpoint(endpoint)}/models`, {
+      timeout: parseInt(keepAlive) * 1000 || 5000,
+      headers: { 'Content-Type': 'application/json' },
+    });
+    return true;
+  } catch {
+    return false;
+  }
+};
+
+export const loadLMStudioChatModels = async () => {
+  const endpoint = getLMStudioApiEndpoint();
+  const keepAlive = getKeepAlive();
+  
+  if (!endpoint) return {};
+  if (!await checkServerAvailability(endpoint)) return {};
+
+  try {
+    const response = await axios.get(`${ensureV1Endpoint(endpoint)}/models`, {
+      timeout: parseInt(keepAlive) * 1000 || 5000,
+      headers: { 'Content-Type': 'application/json' },
+    });
+
+    const chatModels = response.data.data.reduce((acc: Record<string, any>, model: LMStudioModel) => {
+      acc[model.id] = {
+        displayName: model.name || model.id,
+        model: new ChatOpenAI({
+          openAIApiKey: 'lm-studio',
+          configuration: {
+            baseURL: ensureV1Endpoint(endpoint),
+          },
+          modelName: model.id,
+          temperature: 0.7,
+          streaming: true,
+          maxRetries: 3
+        }),
+      };
+      return acc;
+    }, {});
+
+    return chatModels;
+  } catch (err) {
+    logger.error(`Error loading LM Studio models: ${err}`);
+    return {};
+  }
+};
+
+export const loadLMStudioEmbeddingsModels = async () => {
+  const endpoint = getLMStudioApiEndpoint();
+  const keepAlive = getKeepAlive();
+  
+  if (!endpoint) return {};
+  if (!await checkServerAvailability(endpoint)) return {};
+
+  try {
+    const response = await axios.get(`${ensureV1Endpoint(endpoint)}/models`, {
+      timeout: parseInt(keepAlive) * 1000 || 5000,
+      headers: { 'Content-Type': 'application/json' },
+    });
+
+    const embeddingsModels = response.data.data.reduce((acc: Record<string, any>, model: LMStudioModel) => {
+      acc[model.id] = {
+        displayName: model.name || model.id,
+        model: new OpenAIEmbeddings({
+          openAIApiKey: 'lm-studio',
+          configuration: {
+            baseURL: ensureV1Endpoint(endpoint),
+          },
+          modelName: model.id,
+        }),
+      };
+      return acc;
+    }, {});
+
+    return embeddingsModels;
+  } catch (err) {
+    logger.error(`Error loading LM Studio embeddings model: ${err}`);
+    return {};
+  }
+};