swarms/playground/agents/simple_agent_example.py

import os

from dotenv import load_dotenv

from swarms import (
    Conversation,
    OpenAIChat,
)

conv = Conversation(
    autosave=False,
    time_enabled=True,
)

# Load the environment variables
load_dotenv()

# Get the API key from the environment
api_key = os.environ.get("OPENAI_API_KEY")

# Initialize the language model
llm = OpenAIChat(openai_api_key=api_key)


# Run the language model in a loop
def interactive_conversation(llm, iters: int = 10):
    conv = Conversation()
    for i in range(iters):
        user_input = input("User: ")
        conv.add("user", user_input)

        if user_input.lower() == "quit":
            break

        task = (
            conv.return_history_as_string()
        )  # Get the conversation history

        # Run the language model
        out = llm(task)
        conv.add("assistant", out)
        print(
            f"Assistant: {out}",
        )

        conv.display_conversation()
        # conv.export_conversation("conversation.txt")


# Replace with your LLM instance
interactive_conversation(llm)