实现deepseek 对话

chat/api/v1/ai_chat.py

@@ -1,5 +1,14 @@
+import os
+import asyncio
+
 from fastapi import APIRouter, Depends, Request
+from fastapi.responses import StreamingResponse
+
 from pydantic import BaseModel
+from langchain.memory import ConversationBufferMemory
+from langchain.chains import ConversationChain
+# from langchain.chat_models import ChatOpenAI
+from langchain_community.chat_models import ChatOpenAI
 
 from deps.auth import get_current_user
 from services.chat_service import chat_service
@@ -11,12 +20,36 @@ class ChatRequest(BaseModel):
     prompt: str
 
 
-@router.post("/")
+def get_deepseek_llm(api_key: str, model: str, openai_api_base: str):
-def chat_api(data: ChatRequest, user=Depends(get_current_user)):
+    # deepseek 兼容 OpenAI API，需指定 base_url
-    # return {"msg": "pong"}
+    return ChatOpenAI(
-    return resp_success(data="dasds") 
+        openai_api_key=api_key,
+        model_name=model,
+        streaming=True,
+        openai_api_base=openai_api_base,   # deepseek的API地址
+    )
 
-    # reply = chat_service.chat(data.prompt)
+@router.post('/stream')
-    # return {"msg": "pong"}
+async def chat_stream(request: Request):
+    body = await request.json()
+    content = body.get('content')
+    print(content, 'content')
+    model = 'deepseek-chat'
+    api_key = os.getenv("DEEPSEEK_API_KEY")
+    openai_api_base="https://api.deepseek.com/v1"
+    llm = get_deepseek_llm(api_key, model, openai_api_base)
 
-    # return ChatResponse(response=reply) 
+    if not content or not isinstance(content, str):
+        from fastapi.responses import JSONResponse
+        return JSONResponse({"error": "content不能为空"}, status_code=400)
+
+    async def event_generator():
+        async for chunk in llm.astream(content):
+            # 只返回 chunk.content 内容
+            if hasattr(chunk, 'content'):
+                yield f"data: {chunk.content}\n\n"
+            else:
+                yield f"data: {chunk}\n\n"
+            await asyncio.sleep(0.01)
+
+    return StreamingResponse(event_generator(), media_type='text/event-stream')

web/apps/web-antd/src/api/ai/chat.ts

@@ -0,0 +1,47 @@
+import { useAccessStore } from '@vben/stores';
+
+import { formatToken } from '#/utils/auth';
+
+export interface FetchAIStreamParams {
+  content: string;
+}
+
+export async function fetchAIStream({ content }: FetchAIStreamParams) {
+  const accessStore = useAccessStore();
+  const token = accessStore.accessToken;
+  const headers = new Headers();
+
+  headers.append('Content-Type', 'application/json');
+  headers.append('Authorization', <string>formatToken(token));
+
+  const response = await fetch('/chat/api/v1/stream', {
+    method: 'POST',
+    headers,
+    body: JSON.stringify({
+      content,
+    }),
+  });
+
+  if (!response.body) throw new Error('No stream body');
+
+  const reader = response.body.getReader();
+  const decoder = new TextDecoder('utf8');
+  let buffer = '';
+
+  return {
+    async *[Symbol.asyncIterator]() {
+      while (true) {
+        const { done, value } = await reader.read();
+        if (done) break;
+        buffer += decoder.decode(value, { stream: true });
+        const parts = buffer.split('\n\n');
+        buffer = parts.pop() || '';
+        for (const part of parts) {
+          if (part.startsWith('data: ')) {
+            yield part.replace('data: ', '');
+          }
+        }
+      }
+    },
+  };
+}

web/apps/web-antd/src/api/request.ts

@@ -16,6 +16,7 @@ import { useAccessStore } from '@vben/stores';
 import { message } from 'ant-design-vue';
 
 import { useAuthStore } from '#/store';
+import { formatToken } from '#/utils/auth';
 
 import { refreshTokenApi } from './core';
 
@@ -56,10 +57,6 @@ function createRequestClient(baseURL: string, options?: RequestClientOptions) {
     return newToken;
   }
 
-  function formatToken(token: null | string) {
-    return token ? `Bearer ${token}` : null;
-  }
-
   // 请求头处理
   client.addRequestInterceptor({
     fulfilled: async (config) => {

web/apps/web-antd/src/utils/auth.ts

@@ -0,0 +1,3 @@
+export function formatToken(token: null | string) {
+  return token ? `Bearer ${token}` : null;
+}

web/apps/web-antd/src/views/ai/chat/index.vue

@@ -14,6 +14,9 @@ import {
   Select,
 } from 'ant-design-vue';
 
+import { fetchAIStream } from '#/api/ai/chat';
+// 移除 import typingSound from '@/assets/typing.mp3';
+
 interface Message {
   id: number;
   role: 'ai' | 'user';
@@ -24,7 +27,7 @@ interface Message {
 const chatList = ref([
   {
     id: 1,
-    title: '和GPT-3.5的对话',
+    title: '和deepseek的对话',
     lastMessage: 'AI: 你好，有什么可以帮您？',
   },
   { id: 2, title: '工作助理', lastMessage: 'AI: 今天的日程已为您安排。' },
@@ -44,7 +47,7 @@ const messages = ref<Record<number, Message[]>>({
 
 // mock 模型列表
 const modelOptions = [
-  { label: 'GPT-3.5', value: 'gpt-3.5' },
+  { label: 'deepseek', value: 'deepseek' },
   { label: 'GPT-4', value: 'gpt-4' },
 ];
 
@@ -53,6 +56,8 @@ const selectedModel = ref(modelOptions[0].value);
 const search = ref('');
 const input = ref('');
 const messagesRef = ref<HTMLElement | null>(null);
+const currentAiMessage = ref<Message | null>(null);
+const isAiTyping = ref(false);
 
 const filteredChats = computed(() => {
   if (!search.value) return chatList.value;
@@ -80,22 +85,36 @@ function handleNewChat() {
   nextTick(scrollToBottom);
 }
 
-function handleSend() {
+async function handleSend() {
   if (!input.value.trim()) return;
   const msg: Message = { id: Date.now(), role: 'user', content: input.value };
   if (!messages.value[selectedChatId.value]) {
     messages.value[selectedChatId.value] = [];
   }
   messages.value[selectedChatId.value].push(msg);
-  // mock AI 回复
+
-  setTimeout(() => {
+  // 预留AI消息
-    messages.value[selectedChatId.value]?.push({
+  const aiMsgObj: Message = { id: Date.now() + 1, role: 'ai', content: '' };
-      id: Date.now() + 1,
+  messages.value[selectedChatId.value].push(aiMsgObj);
-      role: 'ai',
+  currentAiMessage.value = aiMsgObj;
-      content: 'AI回复内容（mock）',
+  isAiTyping.value = true;
+
+  const stream = await fetchAIStream({
+    content: input.value,
   });
+
+  // 移除打字音效播放
+
+  for await (const chunk of stream) {
+    for (const char of chunk) {
+      aiMsgObj.content += char;
+      currentAiMessage.value = { ...aiMsgObj };
+      // 移除打字音效播放
+      await new Promise(resolve => setTimeout(resolve, 15));
       nextTick(scrollToBottom);
-  }, 600);
+    }
+  }
+  isAiTyping.value = false;
   input.value = '';
   nextTick(scrollToBottom);
 }
@@ -165,7 +184,15 @@ function scrollToBottom() {
           >
             <div class="bubble" :class="[msg.role]">
               <span class="role">{{ msg.role === 'user' ? '我' : 'AI' }}</span>
-              <span class="bubble-content">{{ msg.content }}</span>
+              <span class="bubble-content">
+                {{ msg.content }}
+                <span
+                  v-if="
+                    msg.role === 'ai' && isAiTyping && msg === currentAiMessage
+                  "
+                  class="typing-cursor"
+                ></span>
+              </span>
             </div>
           </div>
         </div>
@@ -327,4 +354,18 @@ function scrollToBottom() {
     padding: 8px 4px 8px 4px;
   }
 }
+.typing-cursor {
+  display: inline-block;
+  width: 8px;
+  height: 1.2em;
+  background: #1677ff;
+  margin-left: 2px;
+  animation: blink-cursor 1s steps(1) infinite;
+  vertical-align: bottom;
+  border-radius: 2px;
+}
+@keyframes blink-cursor {
+  0%, 50% { opacity: 1; }
+  51%, 100% { opacity: 0; }
+}
 </style>

web/apps/web-antd/vite.config.mts

@@ -22,15 +22,14 @@ export default defineConfig(async ({ mode }) => {
         host: '0.0.0.0', // 保证 docker 内外都能访问
         port: 5678,
         proxy: {
+          '/chat': {
+            target: 'http://localhost:8010',
+            changeOrigin: true,
+          },
           '/api': {
             target: backendUrl,
             changeOrigin: true,
           },
-          '/ws': {
-            target: backendUrl,
-            changeOrigin: true,
-            ws: true, // 启用WebSocket代理
-          },
         },
       },
       plugins: [