Implement secure configuration management with encryption and validation (Phase 1 improvements)

test_agent.py

@@ -0,0 +1,47 @@
+#!/usr/bin/env python3
+"""
+Test script for OpenClaw Agent
+"""
+
+import os
+import sys
+sys.path.insert(0, '.')
+
+from main import create_maxclaw_agent
+
+def test_agent_creation():
+    """Test that the agent can be created successfully."""
+    print("Testing agent creation...")
+    try:
+        agent = create_maxclaw_agent()
+        print("✅ Agent created successfully!")
+        return agent
+    except Exception as e:
+        print(f"❌ Failed to create agent: {e}")
+        print("💡 Make sure to set the required environment variables for your chosen model provider.")
+        print("   See README.md for configuration examples.")
+        return None
+
+def test_simple_query(agent):
+    """Test a simple query to the agent."""
+    print("\nTesting simple query...")
+    try:
+        result = agent.invoke({"messages": [{"role": "user", "content": "Hello, how are you?"}]})
+        ai_message = result["messages"][-1]
+        print(f"✅ Agent responded: {ai_message.content}")
+        return True
+    except Exception as e:
+        print(f"❌ Failed to get response: {e}")
+        return False
+
+if __name__ == "__main__":
+    # Set some default environment variables for testing
+    # In a real scenario, these would be set externally
+    if not os.getenv("MODEL_PROVIDER"):
+        os.environ["MODEL_PROVIDER"] = "openai"
+    if not os.getenv("MODEL_NAME"):
+        os.environ["MODEL_NAME"] = "gpt-4o-mini"  # Using a cheaper model for testing
+    
+    agent = test_agent_creation()
+    if agent:
+        test_simple_query(agent)