example.py

from swarms import Agent
from swarms.prompts.finance_agent_sys_prompt import (
    FINANCIAL_AGENT_SYS_PROMPT,
)
from dotenv import load_dotenv

load_dotenv()


# Initialize the agent
agent = Agent(
    agent_name="Financial-Analysis-Agent",
    agent_description="Personal finance advisor agent",
    system_prompt=FINANCIAL_AGENT_SYS_PROMPT,
    max_loops=2,
    model_name="gpt-4o",
    dynamic_temperature_enabled=True,
    user_name="swarms_corp",
    retry_attempts=3,
    context_length=8192,
    return_step_meta=False,
    output_type="all",  # "json", "dict", "csv" OR "string" "yaml" and
    auto_generate_prompt=False,  # Auto generate prompt for the agent based on name, description, and system prompt, task
    max_tokens=4000,  # max output tokens
    saved_state_path="agent_00.json",
    interactive=False,
    role="director",
)

print(
    agent.run(
        "Conduct an analysis of the best real undervalued ETFs. Think for 2 loops internally"
    )
)