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32 lines
989 B
32 lines
989 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 swarms_tools import (
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fetch_stock_news,
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coin_gecko_coin_api,
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fetch_htx_data,
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)
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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=1,
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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="str", # "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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tools=[fetch_stock_news, coin_gecko_coin_api, fetch_htx_data],
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)
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agent.run("Analyze the $swarms token on htx")
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