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53 lines
1.5 KiB
53 lines
1.5 KiB
import os
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from swarms import Agent, OpenAIChat
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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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# Get the OpenAI API key from the environment variable
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api_key = os.getenv("OPENAI_API_KEY")
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# Create an instance of the OpenAIChat class
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model = OpenAIChat(
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api_key=api_key, model_name="gpt-4o-mini", temperature=0.1
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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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system_prompt=FINANCIAL_AGENT_SYS_PROMPT,
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llm=model,
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max_loops=1,
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autosave=True,
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# dynamic_temperature_enabled=True,
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dashboard=False,
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code_interpreter=True,
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# verbose=True,
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# streaming_on=True,
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# # interactive=True, # Set to False to disable interactive mode
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# dynamic_temperature_enabled=True,
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# saved_state_path="finance_agent.json",
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# # tools=[#Add your functions here# ],
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# # stopping_token="Stop!",
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# # interactive=True,
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# # docs_folder="docs", # Enter your folder name
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# # pdf_path="docs/finance_agent.pdf",
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# # sop="Calculate the profit for a company.",
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# # sop_list=["Calculate the profit for a company."],
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# user_name="swarms_corp",
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# # # docs=
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# # # docs_folder="docs",
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# retry_attempts=3,
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# # context_length=1000,
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# # tool_schema = dict
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# context_length=200000,
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# # tool_schema=
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# tools
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# agent_ops_on=True,
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)
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agent.run(
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"Generate the python code to fetch financial news using the OpenAI API. only return the python code"
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)
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