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d8d14f1 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 | from swarms import Agent
from swarms.prompts.finance_agent_sys_prompt import (
FINANCIAL_AGENT_SYS_PROMPT,
)
from swarm_models import OpenAIChat
model = OpenAIChat(model_name="gpt-4o")
# Initialize the agent
agent = Agent(
agent_name="Financial-Analysis-Agent",
agent_description="Personal finance advisor agent",
system_prompt=FINANCIAL_AGENT_SYS_PROMPT
+ "Output the <DONE> token when you're done creating a portfolio of etfs, index, funds, and more for AI",
max_loops=1,
llm=model,
dynamic_temperature_enabled=True,
user_name="Kye",
retry_attempts=3,
# streaming_on=True,
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
# interactive=True,
stopping_token="<DONE>",
saved_state_path="agent_00.json",
interactive=False,
)
async def run_agent():
await agent.arun(
"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,
)
if __name__ == "__main__":
import asyncio
asyncio.run(run_agent())
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