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

llama_test.py

@@ -0,0 +1,99 @@
+from openai import OpenAI
+import sys
+
+API_KEY = "paVrIT+XU1NhwCAOb0X4aYi75QKogK5YNMGvQF1dCyo="
+BASE_URL = "https://llama.theaken.com/v1"
+
+AVAILABLE_MODELS = [
+    "gpt-oss-120b",
+    "deepseek-r1-671b",
+    "qwen3-embedding-8b"
+]
+
+def chat_with_llama(model_name="gpt-oss-120b"):
+    client = OpenAI(
+        api_key=API_KEY,
+        base_url=BASE_URL
+    )
+    
+    print(f"\n使用模型: {model_name}")
+    print("-" * 50)
+    print("輸入 'exit' 或 'quit' 來結束對話")
+    print("-" * 50)
+    
+    messages = []
+    
+    while True:
+        user_input = input("\n你: ").strip()
+        
+        if user_input.lower() in ['exit', 'quit']:
+            print("對話結束")
+            break
+            
+        if not user_input:
+            continue
+            
+        messages.append({"role": "user", "content": user_input})
+        
+        try:
+            response = client.chat.completions.create(
+                model=model_name,
+                messages=messages,
+                temperature=0.7,
+                max_tokens=2000
+            )
+            
+            assistant_reply = response.choices[0].message.content
+            print(f"\nAI: {assistant_reply}")
+            
+            messages.append({"role": "assistant", "content": assistant_reply})
+            
+        except Exception as e:
+            print(f"\n錯誤: {str(e)}")
+            print("請檢查網路連接和 API 設定")
+
+def test_connection():
+    print("測試連接到 Llama API...")
+    
+    client = OpenAI(
+        api_key=API_KEY,
+        base_url=BASE_URL
+    )
+    
+    try:
+        response = client.chat.completions.create(
+            model="gpt-oss-120b",
+            messages=[{"role": "user", "content": "Hello, this is a test message."}],
+            max_tokens=50
+        )
+        print("[OK] 連接成功!")
+        print(f"測試回應: {response.choices[0].message.content}")
+        return True
+    except Exception as e:
+        print(f"[ERROR] 連接失敗: {str(e)[:200]}")
+        return False
+
+def main():
+    print("=" * 50)
+    print("Llama 模型對話測試程式")
+    print("=" * 50)
+    
+    print("\n可用的模型:")
+    for i, model in enumerate(AVAILABLE_MODELS, 1):
+        print(f"  {i}. {model}")
+    
+    if test_connection():
+        print("\n選擇要使用的模型 (輸入數字 1-3，預設: 1):")
+        choice = input().strip()
+        
+        if choice == "2":
+            model = AVAILABLE_MODELS[1]
+        elif choice == "3":
+            model = AVAILABLE_MODELS[2]
+        else:
+            model = AVAILABLE_MODELS[0]
+        
+        chat_with_llama(model)
+
+if __name__ == "__main__":
+    main()