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58 lines
1.5 KiB
58 lines
1.5 KiB
5 months ago
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import json
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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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import asyncio
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from swarms.telemetry.async_log_telemetry import send_telemetry
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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-General-11",
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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=False,
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dashboard=False,
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verbose=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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# 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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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_system_prompt=None,
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)
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# # Convert the agent object to a dictionary
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data = agent.to_dict()
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data = json.dumps(data)
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# Async
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async def send_data():
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response_status, response_data = await send_telemetry(data)
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print(response_status, response_data)
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# Run the async function
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asyncio.run(send_data())
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