Create llama.js

plugins/llama.js

@@ -0,0 +1,88 @@
+const axios = require('axios');
+
+const handler = async (req, res) => {
+  try {
+    const { text, img } = req.query;
+
+    if (!text) {
+      return res.status(400).json({
+        success: false,
+        error: 'Missing required parameter: text'
+      });
+    }
+
+    const apiKey = process.env.GROQ;
+
+    if (!apiKey) {
+      return res.status(500).json({
+        success: false,
+        error: 'GROQ API key not configured in environment'
+      });
+    }
+
+    const content = [
+      {
+        type: "text",
+        text: text
+      }
+    ];
+
+    if (img) {
+      content.push({
+        type: "image_url",
+        image_url: {
+          url: img
+        }
+      });
+    }
+
+    const response = await axios.post(
+      'https://api.groq.com/openai/v1/chat/completions',
+      {
+        messages: [
+          {
+            role: "user",
+            content: img ? content : text
+          }
+        ],
+        model: img ? "meta-llama/llama-4-scout-17b-16e-instruct" : "llama-3.1-8b-instant",
+        temperature: 1,
+        max_completion_tokens: 1024,
+        top_p: 1,
+        stream: false
+      },
+      {
+        headers: {
+          'Content-Type': 'application/json',
+          'Authorization': `Bearer ${apiKey}`
+        }
+      }
+    );
+
+    const result = response.data.choices[0].message.content;
+
+    res.json({
+      author: "Herza",
+      success: true,
+      msg: result
+    });
+
+  } catch (error) {
+    res.status(500).json({
+      success: false,
+      error: error.response?.data?.error?.message || error.message
+    });
+  }
+};
+
+module.exports = {
+  name: 'LLAMA AI',
+  description: 'Generate responses using Groq API with text and image support',
+  type: 'GET',
+  routes: ['api/AI/groq'],
+  tags: ['ai', 'Meta AI', 'llama', 'vision'],
+  main: ['AI'],
+  parameters: ['text', 'img'],
+  enabled: true,
+  handler
+};