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35 lines
972 B
35 lines
972 B
from swarms import Agent
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from swarms.prompts.finance_agent_sys_prompt import (
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FINANCIAL_AGENT_SYS_PROMPT,
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)
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from dotenv import load_dotenv
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load_dotenv()
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# Initialize the agent
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agent = Agent(
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agent_name="Financial-Analysis-Agent",
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agent_description="Personal finance advisor agent",
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system_prompt=FINANCIAL_AGENT_SYS_PROMPT,
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max_loops=2,
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model_name="gpt-4o",
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dynamic_temperature_enabled=True,
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user_name="swarms_corp",
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retry_attempts=3,
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context_length=8192,
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return_step_meta=False,
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output_type="all", # "json", "dict", "csv" OR "string" "yaml" and
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auto_generate_prompt=False, # Auto generate prompt for the agent based on name, description, and system prompt, task
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max_tokens=4000, # max output tokens
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saved_state_path="agent_00.json",
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interactive=False,
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role="director",
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)
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print(
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agent.run(
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"Conduct an analysis of the best real undervalued ETFs. Think for 2 loops internally"
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)
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)
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