chore(ai-moderation): increase llm client timeout and add test script

- Increase OpenAI client timeout from 15s to 60s to handle high-latency models
- Add `test-llm.js` for manual verification of LLM connectivity and response times

services/discord-gateway/src/modules/ai-moderation/llmClient.ts

@@ -27,7 +27,7 @@ function getClient(): OpenAI | null {
       apiKey: config.AI_LLM_API_KEY,
       baseURL: config.AI_LLM_BASE_URL,
       maxRetries: 0,
-      timeout: 15_000,
+      timeout: 60_000, // Diperbesar dari 15s ke 60s untuk mengakomodasi model delay tinggi
     });
   }
   return openaiClient;

test-llm.js

@@ -0,0 +1,60 @@
+const baseURL = process.env.AI_LLM_BASE_URL;
+const apiKey = process.env.AI_LLM_API_KEY;
+
+async function main() {
+  console.log("🚀 Initializing test script...");
+  console.log("baseURL:", baseURL);
+  console.log("apiKey:", apiKey ? "Set (Hidden)" : "Not Set");
+
+  const model = "cf/@cf/google/gemma-4-26b-a4b-it";
+  const startMs = Date.now();
+
+  try {
+    console.log(`\n📡 Mengirim request ke model: ${model} ...`);
+    
+    // Kita gunakan timeout manual menggunakan AbortController untuk mensimulasikan
+    // timeout LLM klien di batas waktu tinggi
+    const controller = new AbortController();
+    const timeoutId = setTimeout(() => controller.abort(), 120_000); // 120 detik
+
+    const response = await fetch(`${baseURL}/chat/completions`, {
+      method: 'POST',
+      headers: {
+        'Content-Type': 'application/json',
+        ...(apiKey ? { Authorization: `Bearer ${apiKey}` } : {})
+      },
+      body: JSON.stringify({
+        model: model,
+        messages: [
+          { role: "system", content: "You are a helpful assistant." },
+          { role: "user", content: "Jelaskan secara singkat cara kerja timeout API." }
+        ]
+      }),
+      signal: controller.signal
+    });
+
+    clearTimeout(timeoutId);
+
+    const endMs = Date.now();
+    console.log(`\n✅ Respons diterima dalam ${endMs - startMs}ms`);
+    console.log("Status HTTP:", response.status);
+    
+    const text = await response.text();
+    try {
+      const data = JSON.parse(text);
+      console.dir(data, { depth: null });
+      console.log("\n📝 Content:");
+      console.log(data.choices?.[0]?.message?.content);
+    } catch {
+      console.log("\n📝 Raw Text Response:");
+      console.log(text);
+    }
+
+  } catch (error) {
+    const endMs = Date.now();
+    console.log(`\n❌ Request gagal setelah ${endMs - startMs}ms`);
+    console.error("Pesan Error:", error.message);
+  }
+}
+
+main().catch(console.error);