use zhipuai to generate api

src/app/api/ipa/route.ts

@@ -1,10 +1,46 @@
-import { GoogleGenAI } from "@google/genai";
 import { NextRequest, NextResponse } from "next/server";
 import { env } from "process";
 
-const api_key = env.GEMINI_API_KEY;
-const ai = new GoogleGenAI(api_key ? { apiKey: api_key } : {});
-const prompt = `[TEXT]
+const API_KEY = env.ZHIPU_API_KEY;
+
+async function callZhipuAPI(messages: { role: string, content: string }[], model = 'glm-4.5-flash') {
+    const url = 'https://open.bigmodel.cn/api/paas/v4/chat/completions';
+
+    const response = await fetch(url, {
+        method: 'POST',
+        headers: {
+            'Authorization': 'Bearer ' + API_KEY,
+            'Content-Type': 'application/json'
+        },
+        body: JSON.stringify({
+            model: model,
+            messages: messages,
+            temperature: 0.6
+        })
+    });
+
+    if (!response.ok) {
+        throw new Error(`API 调用失败: ${response.status}`);
+    }
+
+    return await response.json();
+}
+
+
+
+// callZhipuAPI(messages)
+//     .then(result => {
+//         console.log(result.choices[0].message.content);
+//     })
+//     .catch(error => {
+//         console.error('错误:', error);
+//     });
+
+async function getIPAFromLLM(text: string) {
+    const messages = [
+        {
+            role: 'user', content: `
+[TEXT]
 请推断以上文本的语言，并返回其宽式国际音标(IPA)，以JSON格式
 如：
 {
@@ -14,32 +50,48 @@ const prompt = `[TEXT]
 注意：直接返回json文本，
 不要带markdown记号，
 ipa一定要加[]，
-lang的值是小写英语的语言名称`;
-
-async function getIPAFromGemini(text: string) {
-    const response = await ai.models.generateContent({
-        model: "gemini-2.5-flash",
-        contents: prompt.replace("[TEXT]", text),
-    });
-    if (response.text === undefined) return null;
-    return JSON.parse(response.text);
-}
-
-export async function ggetIPA(text: string): Promise<{ lang: string, ipa: string } | null> {
-    return {
-        lang: `(这是的${text}的lang)`,
-        ipa: `(这是的${text}的ipa)`
-    };
+lang的值是小写英语的语言名称
+`.replace('[TEXT]', text)
+        }
+    ];
+    try {
+        const response = await callZhipuAPI(messages);
+        return JSON.parse(response.choices[0].message.content);
+    } catch (error) {
+        console.error(error);
+        return null;
+    }
 }
 
 export async function GET(request: NextRequest) {
-    const searchParams = request.nextUrl.searchParams;
+    try {
+        const searchParams = request.nextUrl.searchParams;
+        const text = searchParams.get('text');
 
-    const text = searchParams.get('text');
-    if (!text) return NextResponse.json("查询参数错误", { status: 400 });
+        if (!text) {
+            return NextResponse.json(
+                { error: "查询参数错误", message: "text 参数是必需的" },
+                { status: 400 }
+            );
+        }
 
-    const r = await getIPAFromGemini(text);
-    if (r === null) return NextResponse.json("Gemini Api请求失败", { status: 424 });
+        const ipaData = await getIPAFromLLM(text);
 
-    return NextResponse.json({ r }, { status: 200 });
-}
+        if (!ipaData) {
+            return NextResponse.json(
+                { error: "服务暂时不可用", message: "LLM API 请求失败" },
+                { status: 503 }
+            );
+        }
+
+        return NextResponse.json(ipaData, { status: 200 });
+
+    } catch (error) {
+        console.error('API 错误:', error);
+
+        return NextResponse.json(
+            { error: "服务器内部错误", message: "请稍后重试" },
+            { status: 500 }
+        );
+    }
+}