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from swarms import Agent | |
from swarms.prompts.finance_agent_sys_prompt import ( | |
FINANCIAL_AGENT_SYS_PROMPT, | |
) | |
# Initialize the agent | |
agent = Agent( | |
agent_name="Financial-Analysis-Agent", | |
agent_description="Personal finance advisor agent", | |
system_prompt=FINANCIAL_AGENT_SYS_PROMPT, | |
max_loops=1, | |
model_name="gpt-4o", | |
dynamic_temperature_enabled=True, | |
user_name="swarms_corp", | |
retry_attempts=3, | |
context_length=8192, | |
return_step_meta=False, | |
output_type="str", # "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, | |
) | |
agent.run( | |
"Create a table of super high growth opportunities for AI. I have $40k to invest in ETFs, index funds, and more. Please create a table in markdown.", | |
all_cores=True, | |
) | |