edge func

src/hooks/use-writing-check.ts

@@ -1,58 +1,22 @@
 import { useMutation } from "@tanstack/react-query"
 import { canUseWritingCheck, recordWritingCheckUsage } from "@/utils/rate-limiter"
 import { useAuthStore } from "@/store/auth-store"
+import { supabase } from "@/lib/supabase"
 import { saveWritingSubmission, countTodayWritingSubmissions } from "@/lib/progress-service"
 import type { WritingFeedback } from "@/types"
 
 const AUTH_DAILY_LIMIT = 10
 const GUEST_DAILY_LIMIT = 3
 
-const GLM_BASE_URL = "https://open.bigmodel.cn/api/paas/v4"
+async function callEdgeFunction(content: string): Promise<WritingFeedback> {
-const GLM_API_KEY = import.meta.env.VITE_GLM_API_KEY as string
+  const { data, error } = await supabase.functions.invoke<WritingFeedback>("writing-check", {
-const GLM_MODEL = (import.meta.env.VITE_GLM_MODEL as string) || "GLM-4-32B-0414-128K"
+    body: { content },
-
-// Keep system prompt concise — fewer tokens = more room for output.
-// improved_version omitted from schema to reduce output length; added back as optional.
-const SYSTEM_PROMPT = `You are an expert English writing teacher for TOEIC and IELTS.
-Respond ONLY with valid JSON, no markdown:
-{"score":"6.5","grammar":["issue + fix in Vietnamese"],"vocabulary":["observation in Vietnamese"],"structure":"2 sentences in Vietnamese","improved_version":"full improved text","summary":"2 sentences in Vietnamese"}`
-
-async function callGlm(content: string): Promise<WritingFeedback> {
-  const res = await fetch(`${GLM_BASE_URL}/chat/completions`, {
-    method: "POST",
-    headers: {
-      "Content-Type": "application/json",
-      Authorization: `Bearer ${GLM_API_KEY}`,
-    },
-    body: JSON.stringify({
-      model: GLM_MODEL,
-      messages: [
-        { role: "system", content: SYSTEM_PROMPT },
-        { role: "user", content: `Analyse:\n\n${content.slice(0, 1500)}` },
-      ],
-      temperature: 0.3,
-      max_tokens: 2500,
-      // Force JSON output mode (OpenAI-compatible, supported by GLM)
-      response_format: { type: "json_object" },
-    }),
   })
 
-  if (!res.ok) {
+  if (error) throw new Error(error.message ?? "Đã có lỗi khi chấm bài. Vui lòng thử lại.")
-    const err = await res.json().catch(() => ({}))
+  if (!data) throw new Error("Phản hồi từ AI không hợp lệ. Vui lòng thử lại.")
-    throw new Error((err as { error?: { message?: string } }).error?.message ?? `GLM error ${res.status}`)
-  }
 
-  const data = await res.json() as { choices: { message: { content: string } }[] }
+  return data
-  const raw = data.choices[0]?.message?.content ?? "{}"
-
-  // Strip markdown code fences defensively
-  const cleaned = raw.replace(/^```(?:json)?\s*/i, "").replace(/\s*```$/, "").trim()
-
-  try {
-    return JSON.parse(cleaned) as WritingFeedback
-  } catch {
-    throw new Error("Phản hồi từ AI không hợp lệ. Vui lòng thử lại.")
-  }
 }
 
 export function useWritingCheck() {
@@ -73,13 +37,12 @@ export function useWritingCheck() {
         }
       }
 
-      const feedback = await callGlm(content)
+      const feedback = await callEdgeFunction(content)
 
       if (user) {
-        // Save to DB (fire-and-forget)
+        // Save submission to DB (fire-and-forget)
         saveWritingSubmission(user.id, content, feedback)
       } else {
-        // Persist guest usage in localStorage
         recordWritingCheckUsage()
       }
 

supabase/functions/writing-check/index.ts

@@ -47,7 +47,7 @@ Deno.serve(async (req: Request) => {
     const completion = await glm.chat.completions.create({
       // GLM-4-32B-0414-128K: cheapest paid model at $0.1/$0.1 per 1M tokens.
       // Override via: supabase secrets set GLM_MODEL=<other-model>
-      model: Deno.env.get("GLM_MODEL") ?? "GLM-4-32B-0414-128K",
+      model: Deno.env.get("GLM_MODEL") ?? "GLM-4.5-Flash",
       messages: [
         { role: "system", content: SYSTEM_PROMPT },
         { role: "user", content: `Analyse this writing:\n\n${content.slice(0, 2000)}` },