truetype
eda22811ce
- Renamed all references from maxclaw to langcode across all files - Renamed maxclaw.py → langcode.py - Renamed completion scripts: maxclaw.bash/zsh → langcode.bash/zsh - Updated Dockerfile, README, all Python files, HTML, JSON, YAML - New Gitea repository: http://192.168.0.183:8085/truetype/langcode_agent.git
47 lines
1.5 KiB
Python
47 lines
1.5 KiB
Python
#!/usr/bin/env python3
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"""
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Test script for OpenClaw Agent
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"""
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import os
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import sys
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sys.path.insert(0, '.')
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from main import create_langcode_agent
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def test_agent_creation():
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"""Test that the agent can be created successfully."""
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print("Testing agent creation...")
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try:
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agent = create_langcode_agent()
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print("✅ Agent created successfully!")
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return agent
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except Exception as e:
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print(f"❌ Failed to create agent: {e}")
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print("💡 Make sure to set the required environment variables for your chosen model provider.")
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print(" See README.md for configuration examples.")
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return None
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def test_simple_query(agent):
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"""Test a simple query to the agent."""
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print("\nTesting simple query...")
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try:
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result = agent.invoke({"messages": [{"role": "user", "content": "Hello, how are you?"}]})
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ai_message = result["messages"][-1]
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print(f"✅ Agent responded: {ai_message.content}")
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return True
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except Exception as e:
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print(f"❌ Failed to get response: {e}")
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return False
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if __name__ == "__main__":
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# Set some default environment variables for testing
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# In a real scenario, these would be set externally
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if not os.getenv("MODEL_PROVIDER"):
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os.environ["MODEL_PROVIDER"] = "openai"
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if not os.getenv("MODEL_NAME"):
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os.environ["MODEL_NAME"] = "gpt-4o-mini" # Using a cheaper model for testing
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agent = test_agent_creation()
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if agent:
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test_simple_query(agent) |