Merge branch 'bestsanmao-bug_fix'

.env.template

@@ -1,6 +1,11 @@
+
+
 # Your openai api key. (required)
 OPENAI_API_KEY=sk-xxxx
 
+# DeepSeek Api Key. (Optional)
+DEEPSEEK_API_KEY=
+
 # Access password, separated by comma. (optional)
 CODE=your-password
 
@@ -70,5 +75,6 @@ ANTHROPIC_API_VERSION=
 ### anthropic claude Api url (optional)
 ANTHROPIC_URL=
 
+
 ### (optional)
 WHITE_WEBDAV_ENDPOINTS=

app/config/server.ts

@@ -255,6 +255,6 @@ export const getServerSideConfig = () => {
     defaultModel,
     visionModels,
     allowedWebDavEndpoints,
-    enableMcp: !!process.env.ENABLE_MCP,
+    enableMcp: process.env.ENABLE_MCP === "true",
   };
 };

app/constant.ts

@@ -393,6 +393,7 @@ You are an AI assistant with access to system tools. Your role is to help users
 
 export const SUMMARIZE_MODEL = "gpt-4o-mini";
 export const GEMINI_SUMMARIZE_MODEL = "gemini-pro";
+export const DEEPSEEK_SUMMARIZE_MODEL = "deepseek-chat";
 
 export const KnowledgeCutOffDate: Record<string, string> = {
   default: "2021-09",
@@ -561,7 +562,7 @@ const iflytekModels = [
   "4.0Ultra",
 ];
 
-const deepseekModels = ["deepseek-chat", "deepseek-coder"];
+const deepseekModels = ["deepseek-chat", "deepseek-coder", "deepseek-reasoner"];
 
 const xAIModes = ["grok-beta"];
 

app/store/chat.ts

@@ -20,6 +20,7 @@ import {
   DEFAULT_MODELS,
   DEFAULT_SYSTEM_TEMPLATE,
   GEMINI_SUMMARIZE_MODEL,
+  DEEPSEEK_SUMMARIZE_MODEL,
   KnowledgeCutOffDate,
   MCP_SYSTEM_TEMPLATE,
   MCP_TOOLS_TEMPLATE,
@@ -35,7 +36,7 @@ import { ModelConfig, ModelType, useAppConfig } from "./config";
 import { useAccessStore } from "./access";
 import { collectModelsWithDefaultModel } from "../utils/model";
 import { createEmptyMask, Mask } from "./mask";
-import { executeMcpAction, getAllTools } from "../mcp/actions";
+import { executeMcpAction, getAllTools, isMcpEnabled } from "../mcp/actions";
 import { extractMcpJson, isMcpJson } from "../mcp/utils";
 
 const localStorage = safeLocalStorage();
@@ -143,7 +144,10 @@ function getSummarizeModel(
   }
   if (currentModel.startsWith("gemini")) {
     return [GEMINI_SUMMARIZE_MODEL, ServiceProvider.Google];
+  } else if (currentModel.startsWith("deepseek-")) {
+    return [DEEPSEEK_SUMMARIZE_MODEL, ServiceProvider.DeepSeek];
   }
+
   return [currentModel, providerName];
 }
 
@@ -245,7 +249,7 @@ export const useChatStore = createPersistStore(
 
         newSession.topic = currentSession.topic;
         // 深拷贝消息
-        newSession.messages = currentSession.messages.map(msg => ({
+        newSession.messages = currentSession.messages.map((msg) => ({
           ...msg,
           id: nanoid(), // 生成新的消息 ID
         }));
@@ -551,11 +555,13 @@ export const useChatStore = createPersistStore(
           (session.mask.modelConfig.model.startsWith("gpt-") ||
             session.mask.modelConfig.model.startsWith("chatgpt-"));
 
-        const mcpSystemPrompt = await getMcpSystemPrompt();
+        const mcpEnabled = await isMcpEnabled();
+        const mcpSystemPrompt = mcpEnabled ? await getMcpSystemPrompt() : "";
 
         var systemPrompts: ChatMessage[] = [];
-        systemPrompts = shouldInjectSystemPrompts
+
-          ? [
+        if (shouldInjectSystemPrompts) {
+          systemPrompts = [
             createMessage({
               role: "system",
               content:
@@ -564,14 +570,17 @@ export const useChatStore = createPersistStore(
                   template: DEFAULT_SYSTEM_TEMPLATE,
                 }) + mcpSystemPrompt,
             }),
-            ]
+          ];
-          : [
+        } else if (mcpEnabled) {
+          systemPrompts = [
             createMessage({
               role: "system",
               content: mcpSystemPrompt,
             }),
           ];
-        if (shouldInjectSystemPrompts) {
+        }
+
+        if (shouldInjectSystemPrompts || mcpEnabled) {
           console.log(
             "[Global System Prompt] ",
             systemPrompts.at(0)?.content ?? "empty",
@@ -816,6 +825,8 @@ export const useChatStore = createPersistStore(
 
       /** check if the message contains MCP JSON and execute the MCP action */
       checkMcpJson(message: ChatMessage) {
+        const mcpEnabled = isMcpEnabled();
+        if (!mcpEnabled) return;
         const content = getMessageTextContent(message);
         if (isMcpJson(content)) {
           try {