AI Agent Apps: The Ultimate Guide to Building and Using Intelligent Assistants

1from langchain.agents import load_tools
2from langchain.agents import initialize_agent
3from langchain.llms import OpenAI
4
5import os
6
7os.environ["OPENAI_API_KEY"] = "YOUR_API_KEY"  # Replace with your actual API key
8
9# Load some tools to use. Note that the `llm-math` tool uses an LLM, so we need to pass that in.
10tools = load_tools(["serpapi", "llm-math"], llm=OpenAI(temperature=0))
11
12# Finally, let's initialize an agent with the tools, the language model, and the type of agent we want to use.
13agent = initialize_agent(tools, OpenAI(temperature=0), agent="zero-shot-react-description", verbose=True)
14
15# Now let's test it out!
16agent.run("Who is Leo DiCaprio's girlfriend? What is her current age raised to the 0.43 power?")
17

1def select_action(state, available_actions):
2    # Implement your agent's decision-making logic here
3    # This is a simplified example
4    if "search" in available_actions:
5        return "search", {"query": "current weather"}
6    elif "calculate" in available_actions:
7        return "calculate", {"expression": "2 + 2"}
8    else:
9        return "no_op", {}
10
11# Example usage
12current_state = {"location": "New York", "time": "10:00 AM"}
13available_actions = ["search", "calculate", "no_op"]
14action, parameters = select_action(current_state, available_actions)
15print(f"Selected action: {action} with parameters: {parameters}")
16