agent_with_rag_and_tools.py

from swarms import Agent
from swarm_models import OpenAIChat
from swarms_memory import ChromaDB
import subprocess
import os

# Making an instance of the ChromaDB class
memory = ChromaDB(
    metric="cosine",
    n_results=3,
    output_dir="results",
    docs_folder="docs",
)

# Model
model = OpenAIChat(
    api_key=os.getenv("OPENAI_API_KEY"),
    model_name="gpt-4o-mini",
    temperature=0.1,
)


# Tools in swarms are simple python functions and docstrings
def terminal(
    code: str,
):
    """
    Run code in the terminal.

    Args:
        code (str): The code to run in the terminal.

    Returns:
        str: The output of the code.
    """
    out = subprocess.run(
        code, shell=True, capture_output=True, text=True
    ).stdout
    return str(out)


def browser(query: str):
    """
    Search the query in the browser with the `browser` tool.

    Args:
        query (str): The query to search in the browser.

    Returns:
        str: The search results.
    """
    import webbrowser

    url = f"https://www.google.com/search?q={query}"
    webbrowser.open(url)
    return f"Searching for {query} in the browser."


def create_file(file_path: str, content: str):
    """
    Create a file using the file editor tool.

    Args:
        file_path (str): The path to the file.
        content (str): The content to write to the file.

    Returns:
        str: The result of the file creation operation.
    """
    with open(file_path, "w") as file:
        file.write(content)
    return f"File {file_path} created successfully."


def file_editor(file_path: str, mode: str, content: str):
    """
    Edit a file using the file editor tool.

    Args:
        file_path (str): The path to the file.
        mode (str): The mode to open the file in.
        content (str): The content to write to the file.

    Returns:
        str: The result of the file editing operation.
    """
    with open(file_path, mode) as file:
        file.write(content)
    return f"File {file_path} edited successfully."


# Agent
agent = Agent(
    agent_name="Devin",
    system_prompt=(
        "Autonomous agent that can interact with humans and other"
        " agents. Be Helpful and Kind. Use the tools provided to"
        " assist the user. Return all code in markdown format."
    ),
    llm=model,
    max_loops="auto",
    autosave=True,
    dashboard=False,
    streaming_on=True,
    verbose=True,
    stopping_token="<DONE>",
    interactive=True,
    tools=[terminal, browser, file_editor, create_file],
    streaming=True,
    long_term_memory=memory,
)

# Run the agent
out = agent(
    "Create a CSV file with the latest tax rates for C corporations in the following ten states and the District of Columbia: Alabama, California, Florida, Georgia, Illinois, New York, North Carolina, Ohio, Texas, and Washington."
)
print(out)