Initial commit: Llama API Client with full documentation

- Added complete Python client for Llama AI models
- Support for internal network endpoints (tested and working)
- Support for external network endpoints (configured)
- Interactive chat interface with multiple models
- Automatic endpoint testing and failover
- Response cleaning for special markers
- Full documentation in English and Chinese
- Complete test suite and examples
- MIT License and contribution guidelines

simple_llama_test.py

@@ -0,0 +1,46 @@
+import requests
+import json
+
+API_KEY = "paVrIT+XU1NhwCAOb0X4aYi75QKogK5YNMGvQF1dCyo="
+BASE_URL = "https://llama.theaken.com/v1/chat/completions"
+
+def test_api():
+    headers = {
+        "Authorization": f"Bearer {API_KEY}",
+        "Content-Type": "application/json"
+    }
+    
+    data = {
+        "model": "gpt-oss-120b",
+        "messages": [
+            {"role": "user", "content": "Hello, can you respond?"}
+        ],
+        "temperature": 0.7,
+        "max_tokens": 100
+    }
+    
+    print("正在測試 API 連接...")
+    print(f"URL: {BASE_URL}")
+    print(f"Model: gpt-oss-120b")
+    print("-" * 50)
+    
+    try:
+        response = requests.post(BASE_URL, headers=headers, json=data, timeout=30)
+        
+        if response.status_code == 200:
+            result = response.json()
+            print("[成功] API 回應:")
+            print(result['choices'][0]['message']['content'])
+        else:
+            print(f"[錯誤] HTTP {response.status_code}")
+            print(f"回應內容: {response.text[:500]}")
+            
+    except requests.exceptions.Timeout:
+        print("[錯誤] 請求超時")
+    except requests.exceptions.ConnectionError:
+        print("[錯誤] 無法連接到伺服器")
+    except Exception as e:
+        print(f"[錯誤] {str(e)}")
+
+if __name__ == "__main__":
+    test_api()