Dialogue Large Models Integration

git clone https://github.com/[your_github_account]/vercel-ai-sdk-chatbot.git
cd vercel-ai-sdk-chatbot

const res = await fetch("/api/ai", {
  method: "POST",
  headers: { "Content-Type": "application/json" },
  body: JSON.stringify({ model, messages }),
  signal: controller.signal,
});

const { model, messages } = await request.json();
if (!model || !messages) {
  return new Response(JSON.stringify({ error: "Missing model or messages" }), {
    status: 400,
    headers: { "Content-Type": "application/json" },
  });
}
if (model === "deepseek-chat" || model === "deepseek-reasoner") {
  return proxyDeepSeek(messages, model, env);
}

const res = await PROVIDERS.fetch("https://api.deepseek.com/chat/completions", {
  method: "POST",
  headers: {
    "Content-Type": "application/json",
    Authorization: `Bearer ${apiKey}`,
  },
  body: JSON.stringify(requestBody),
});

return new Response(res.body, {
  status: res.status,
  headers: {
    "Content-Type":
      res.headers.get("Content-Type") || "application/octet-stream",
    "Cache-Control": "no-store",
  },
});

import { useChat } from "ai/react";
const {
  messages,
  sendMessage,
  status,
  error,
  regenerate,
  setMessages,
  clearError: clearChatError,
} = useChat({
  onFinish: (message) => {
    // ...
  },
  onError: (error) => {
    //...
  },
});

sendMessage(
  { text },
  {
    headers: {
      "X-Model": selectedModel,
    },
  }
);

// Convert messages to UI format
const uiMessages: UIMessage[] = body.messages.map((msg: any) => ({
  id: msg.id || Math.random().toString(36).substr(2, 9),
  role: msg.role,
  parts: msg.parts || [{ type: "text", text: msg.content || msg.text || "" }],
}));

import { deepseek } from "@ai-sdk/deepseek";
import { anthropic } from "@ai-sdk/anthropic";
import { google } from "@ai-sdk/google";
import { openai } from "@ai-sdk/openai";
import { xai } from "@ai-sdk/xai";

const result = streamText({
  model: providerConfig.provider(selectedModel),
  system:
    "You are an intelligent AI assistant dedicated to helping users. Please follow these principles:\n1. Provide accurate, useful, and concise answers\n2. Maintain a friendly and professional tone\n3. Be honest when uncertain about answers\n4. Support both Chinese and English communication\n5. Provide practical advice and solutions",
  messages: convertToModelMessages(uiMessages),
  maxOutputTokens: 1000,
  temperature: 0.7,
  onError: (error) => console.error("AI API Error:", error),
  onFinish: (result) =>
    console.log("AI Response finished:", {
      provider: providerConfig.name,
      model: selectedModel,
      usage: result.usage,
      finishReason: result.finishReason,
    }),
});

result.toUIMessageStreamResponse();

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