Defining the Agent's Environment › A Simple Environment Model

## Using Claude Sonnet 4.5 for agent-based applications
class AgentEnvironment:
    """Represents the world our assistant operates in"""
    
    def __init__(self):
        self.available_tools = {
            "calendar": self.get_calendar,
            "email": self.get_emails,
            "weather": self.get_weather
        }
        self.conversation_history = []
    
    def get_calendar(self, date=None):
        """Retrieve calendar events"""
        # Simplified for illustration
        return [{"time": "9:00 AM", "title": "Team meeting"}]
    
    def get_emails(self, count=5):
        """Retrieve recent emails"""
        return [{"from": "boss@company.com", "subject": "Q4 Planning"}]
    
    def get_weather(self, location):
        """Get weather information"""
        return {"temp": "72°F", "condition": "Sunny"}
    
    def perceive(self, user_input):
        """Agent perceives new input from the environment"""
        self.conversation_history.append({
            "role": "user",
            "content": user_input
        })
        return user_input
    
    def act(self, action_type, **params):
        """Agent takes an action in the environment"""
        if action_type in self.available_tools:
            result = self.available_tools[action_type](**params)
            return result
        else:
            return {"error": "Tool not available"}

## Create the environment
env = AgentEnvironment()

## Agent perceives user input
user_query = env.perceive("What's the weather like?")

## Agent decides to use the weather tool
weather_data = env.act("weather", location="San Francisco")

print(f"Weather: {weather_data}")