support google gemini

renderer/public/iconfont.css

@@ -1,8 +1,8 @@
 @font-face {
   font-family: "iconfont"; /* Project id 4870215 */
-  src: url('iconfont.woff2?t=1747820198035') format('woff2'),
+  src: url('iconfont.woff2?t=1748859145515') format('woff2'),
-       url('iconfont.woff?t=1747820198035') format('woff'),
+       url('iconfont.woff?t=1748859145515') format('woff'),
-       url('iconfont.ttf?t=1747820198035') format('truetype');
+       url('iconfont.ttf?t=1748859145515') format('truetype');
 }
 
 .iconfont {
@@ -13,6 +13,10 @@
   -moz-osx-font-smoothing: grayscale;
 }
 
+.icon-proxy:before {
+  content: "\e723";
+}
+
 .icon-parallel:before {
   content: "\e61d";
 }

renderer/src/components/main-panel/chat/core/task-loop.ts

@@ -9,9 +9,10 @@ import { ElMessage } from "element-plus";
 import { handleToolCalls, type ToolCallResult } from "./handle-tool-calls";
 import { getPlatform } from "@/api/platform";
 import { getSystemPrompt } from "../chat-box/options/system-prompt";
+import { mcpSetting } from "@/hook/mcp";
 
 export type ChatCompletionChunk = OpenAI.Chat.Completions.ChatCompletionChunk;
-export type ChatCompletionCreateParamsBase = OpenAI.Chat.Completions.ChatCompletionCreateParams & { id?: string };
+export type ChatCompletionCreateParamsBase = OpenAI.Chat.Completions.ChatCompletionCreateParams & { id?: string, proxyServer?: string };
 export interface TaskLoopOptions {
     maxEpochs?: number;
     maxJsonParseRetry?: number;
@@ -79,13 +80,18 @@ export class TaskLoop {
         const toolCall = chunk.choices[0]?.delta?.tool_calls?.[0];
         
         if (toolCall) {
-            const currentCall = this.streamingToolCalls.value[toolCall.index];
+            if (toolCall.index === undefined || toolCall.index === null) {
+                console.warn('tool_call.index is undefined or null');
+            }
+
+            const index = toolCall.index || 0;
+            const currentCall = this.streamingToolCalls.value[index];
 
             if (currentCall === undefined) {
                 // 新的工具调用开始
-                this.streamingToolCalls.value[toolCall.index] = {
+                this.streamingToolCalls.value[index] = {
                     id: toolCall.id,
-                    index: toolCall.index,
+                    index,
                     type: 'function',
                     function: {
                         name: toolCall.function?.name || '',
@@ -124,6 +130,8 @@ export class TaskLoop {
                 // data.code 一定为 200，否则不会走这个 route
                 const { chunk } = data.msg as { chunk: ChatCompletionChunk };
 
+                console.log(chunk);
+
                 // 处理增量的 content 和 tool_calls
                 this.handleChunkDeltaContent(chunk);
                 this.handleChunkDeltaToolCalls(chunk);
@@ -181,6 +189,7 @@ export class TaskLoop {
         const temperature = tabStorage.settings.temperature;
         const tools = getToolSchema(tabStorage.settings.enableTools);
         const parallelToolCalls = tabStorage.settings.parallelToolCalls;
+        const proxyServer = mcpSetting.proxyServer || '';
 
         const userMessages = [];
 
@@ -211,6 +220,7 @@ export class TaskLoop {
             tools,
             parallelToolCalls,
             messages: userMessages,
+            proxyServer
         } as ChatCompletionCreateParamsBase;
 
         return chatData;
@@ -396,7 +406,7 @@ export class TaskLoop {
                         tabStorage.messages.push({
                             role: 'tool',
                             index: toolCall.index || 0,
-                            tool_call_id: toolCall.id || toolCall.function.name,
+                            tool_call_id: toolCall.id || '',
                             content: toolCallResult.content,
                             extraInfo: {
                                 created: Date.now(),

renderer/src/hook/mcp.ts

@@ -33,4 +33,5 @@ export function normaliseJavascriptType(type: string) {
 
 export const mcpSetting = reactive({
     timeout: 60,
+    proxyServer: '',
 });

renderer/src/hook/setting.ts

@@ -20,6 +20,7 @@ export async function loadSetting() {
         llmManager.currentModelIndex = persistConfig.MODEL_INDEX || 0;
         I18n.global.locale.value = persistConfig.LANG || 'zh';
         mcpSetting.timeout = persistConfig.MCP_TIMEOUT_SEC || 60;
+        mcpSetting.proxyServer = persistConfig.PROXY_SERVER || '';
 
         persistConfig.LLM_INFO.forEach((element: any) => {
             llms.push(element);
@@ -51,7 +52,8 @@ export function saveSetting(saveHandler?: () => void) {
         MODEL_INDEX: llmManager.currentModelIndex,
         LLM_INFO: JSON.parse(JSON.stringify(llms)),
         LANG: I18n.global.locale.value,
-        MCP_TIMEOUT_SEC: mcpSetting.timeout
+        MCP_TIMEOUT_SEC: mcpSetting.timeout,
+        PROXY_SERVER: mcpSetting.proxyServer
     };
 
     bridge.addCommandListener('setting/save', data => {

renderer/src/i18n/ar.json

@@ -156,5 +156,6 @@
     "error": "خطأ",
     "feedback": "تعليقات",
     "waiting-mcp-server": "في انتظار استجابة خادم MCP",
-    "parallel-tool-calls": "السماح للنموذج باستدعاء أدوات متعددة في رد واحد"
+    "parallel-tool-calls": "السماح للنموذج باستدعاء أدوات متعددة في رد واحد",
+    "proxy-server": "خادم وكيل"
 }

renderer/src/i18n/de.json

@@ -156,5 +156,6 @@
     "error": "Fehler",
     "feedback": "Feedback",
     "waiting-mcp-server": "Warten auf Antwort vom MCP-Server",
-    "parallel-tool-calls": "Erlauben Sie dem Modell, mehrere Tools in einer einzigen Antwort aufzurufen"
+    "parallel-tool-calls": "Erlauben Sie dem Modell, mehrere Tools in einer einzigen Antwort aufzurufen",
+    "proxy-server": "Proxy-Server"
 }

renderer/src/i18n/en.json

@@ -156,5 +156,6 @@
     "error": "Error",
     "feedback": "Feedback",
     "waiting-mcp-server": "Waiting for MCP server response",
-    "parallel-tool-calls": "Allow the model to call multiple tools in a single reply"
+    "parallel-tool-calls": "Allow the model to call multiple tools in a single reply",
+    "proxy-server": "Proxy server"
 }

renderer/src/i18n/fr.json

@@ -156,5 +156,6 @@
     "error": "Erreur",
     "feedback": "Retour",
     "waiting-mcp-server": "En attente de la réponse du serveur MCP",
-    "parallel-tool-calls": "Permettre au modèle d'appeler plusieurs outils en une seule réponse"
+    "parallel-tool-calls": "Permettre au modèle d'appeler plusieurs outils en une seule réponse",
+    "proxy-server": "Serveur proxy"
 }

renderer/src/i18n/ja.json

@@ -156,5 +156,6 @@
     "error": "エラー",
     "feedback": "フィードバック",
     "waiting-mcp-server": "MCPサーバーの応答を待機中",
-    "parallel-tool-calls": "モデルが単一の返信で複数のツールを呼び出すことを許可する"
+    "parallel-tool-calls": "モデルが単一の返信で複数のツールを呼び出すことを許可する",
+    "proxy-server": "プロキシサーバー"
 }

renderer/src/i18n/ko.json

@@ -156,5 +156,6 @@
     "error": "오류",
     "feedback": "피드백",
     "waiting-mcp-server": "MCP 서버 응답 대기 중",
-    "parallel-tool-calls": "모델이 단일 응답에서 여러 도구를 호출할 수 있도록 허용"
+    "parallel-tool-calls": "모델이 단일 응답에서 여러 도구를 호출할 수 있도록 허용",
+    "proxy-server": "프록시 서버"
 }

renderer/src/i18n/ru.json

@@ -156,5 +156,6 @@
     "error": "Ошибка",
     "feedback": "Обратная связь",
     "waiting-mcp-server": "Ожидание ответа от сервера MCP",
-    "parallel-tool-calls": "Разрешить модели вызывать несколько инструментов в одном ответе"
+    "parallel-tool-calls": "Разрешить модели вызывать несколько инструментов в одном ответе",
+    "proxy-server": "Прокси-сервер"
 }

renderer/src/i18n/zh-cn.json

@@ -156,5 +156,6 @@
     "error": "错误",
     "feedback": "反馈",
     "waiting-mcp-server": "等待 MCP 服务器响应",
-    "parallel-tool-calls": "允许模型在单轮回复中调用多个工具"
+    "parallel-tool-calls": "允许模型在单轮回复中调用多个工具",
+    "proxy-server": "代理服务器"
 }

renderer/src/i18n/zh-tw.json

@@ -156,5 +156,6 @@
     "error": "錯誤",
     "feedback": "反饋",
     "waiting-mcp-server": "等待MCP伺服器響應",
-    "parallel-tool-calls": "允許模型在單輪回覆中調用多個工具"
+    "parallel-tool-calls": "允許模型在單輪回覆中調用多個工具",
+    "proxy-server": "代理伺服器"
 }

renderer/src/views/setting/general.vue

@@ -27,6 +27,20 @@
 					@change="safeSaveSetting" />
 			</div>
 		</div>
+
+		<div class="setting-option">
+			<span>
+				<span class="iconfont icon-proxy"></span>
+				<span class="option-title">{{ t('proxy-server') }}</span>
+			</span>
+			<div style="width: 200px;">
+				<el-input
+					v-model="mcpSetting.proxyServer"
+					:placeholder="'http://localhost:7890'"
+					@input="safeSaveSetting"
+				/>
+			</div>
+		</div>
 	</div>
 </template>
 

service/src/hook/axios-fetch.ts

@@ -1,4 +1,5 @@
-import axios, { AxiosResponse } from "axios";
+import axios, { AxiosProxyConfig } from "axios";
+import { HttpsProxyAgent } from 'https-proxy-agent';
 
 interface FetchOptions {
     method?: string;
@@ -185,8 +186,18 @@ function adaptResponse(axiosResponse: FetchOptions): FetchResponse {
 /**
  * @description 主函数 - 用 axios 实现 fetch
  */
-export async function axiosFetch(url: any, options: any): Promise<any> {
+export async function axiosFetch(input: any, init: any, requestOption: { proxyServer?: string } = {}): Promise<any> {
-    const axiosConfig = adaptRequestOptions(url, options);
+    const axiosConfig = adaptRequestOptions(input, init);
+
+    const {
+        proxyServer = ''
+    } = requestOption;
+
+    if (proxyServer) {
+        const proxyAgent = new HttpsProxyAgent(proxyServer);
+        axiosConfig.httpsAgent = proxyAgent;
+        axiosConfig.httpAgent = proxyAgent;
+    }
 
     try {
         const response = await axios(axiosConfig) as FetchOptions;

service/src/llm/llm.service.ts

@@ -20,7 +20,8 @@ export async function streamingChatCompletion(
         messages,
         temperature,
         tools = [],
-        parallelToolCalls = true
+        parallelToolCalls = true,
+        proxyServer = ''
     } = data;
 
     const client = new OpenAI({
@@ -28,7 +29,7 @@ export async function streamingChatCompletion(
         apiKey,
         fetch: async (input: string | URL | Request, init?: RequestInit) => {
 
-            console.log('openai fetch begin');
+            console.log('openai fetch begin, proxyServer:', proxyServer);
             
             if (model.startsWith('gemini')) {
                 // 该死的 google
@@ -39,10 +40,7 @@ export async function streamingChatCompletion(
                     }
                 }
                 
-                console.log('input:', input);
+                return await axiosFetch(input, init, { proxyServer });
-                console.log('init:', init);
-                
-                return await axiosFetch(input, init);
             } else {
                 return await fetch(input, init);
             }

service/src/mcp/client.service.ts

@@ -135,10 +135,7 @@ export class McpClient {
     // 调用工具
     public async callTool(options: { name: string; arguments: Record<string, any>, callToolOption?: any }) {
         const { callToolOption, ...methodArgs } = options;
-        console.log('methodArgs', methodArgs);
-        console.log('callToolOption', callToolOption);
         const res = await this.client.callTool(methodArgs, undefined, callToolOption);
-        console.log('callTool res', res);
         
         return res;
     }

service/src/mcp/connect.controller.ts

@@ -15,9 +15,6 @@ export class ConnectController {
     async lookupEnvVar(data: RequestData, webview: PostMessageble) {
         const { keys } = data;
         const values = keys.map((key: string) => {
-            // TODO: 在 Windows 上测试
-            console.log(key);
-            console.log(process.env);
             
             if (process.platform === 'win32') {
                 switch (key) {

service/src/setting/setting.service.ts

@@ -52,7 +52,11 @@ export function loadSetting(): IConfig {
     
     try {
         const configData = fs.readFileSync(configPath, 'utf-8');
-        return JSON.parse(configData) as IConfig;
+        const config = JSON.parse(configData) as IConfig;
+        if (!config.LLM_INFO || (Array.isArray(config.LLM_INFO) && config.LLM_INFO.length === 0)) {
+            config.LLM_INFO = llms;
+        }        
+        return config;
     } catch (error) {
         console.error('Error loading config file, creating new one:', error);
         return createConfig();