openhands-tools

import os from openhands.core.agent import Agent from openhands.core.tools.tool import Tool from typing import List, Dict, Any # Define a simple tool function def get_current_weather(location: str) -> str: """Get the current weather in a given location.""" # In a real scenario, this would make an API call to a weather service return f"The weather in {location} is sunny with 25 degrees Celsius." # Create a Tool instance from the function weather_tool = Tool( name="get_current_weather", description="Get the current weather in a given location", func=get_current_weather, args_schema={ "location": {"type": "string", "description": "The city and state, e.g. San Francisco, CA"} }, ) # Define a simple Agent that could potentially use this tool # In a real scenario, this agent would be instantiated with an LLM # and have more complex logic to interpret tasks and call tools. class MySimpleAgent(Agent): def __init__(self): super().__init__( name="SimpleWeatherAgent", description="An agent that can tell the weather.", tools=[weather_tool] ) # The 'run' method would typically interact with an LLM and orchestrate tool usage. # For this quickstart, we'll just demonstrate its structure. def run(self, task: str, *args, **kwargs): print(f"Agent '{self.name}' received task: '{task}'") print(f"Agent's available tools: {[tool.name for tool in self.tools]}") if "weather" in task.lower(): print("Agent could call 'get_current_weather' if prompted by LLM for weather in a location.") return "Agent is ready to process tasks with its tools." # Instantiate and demonstrate the agent agent = MySimpleAgent() print(agent.run("What's the weather like in New York?"))