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68 lines
1.5 KiB
68 lines
1.5 KiB
4 months ago
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import os
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from swarms import Agent
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from swarm_models import 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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from dotenv import load_dotenv
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load_dotenv()
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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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openai_api_key=api_key,
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model_name="gpt-4o-mini",
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temperature=0.1,
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max_tokens=2000,
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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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dashboard=False,
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verbose=True,
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dynamic_temperature_enabled=True,
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saved_state_path="finance_agent.json",
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user_name="swarms_corp",
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retry_attempts=1,
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context_length=200000,
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return_step_meta=False,
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# output_type="json",
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output_type=str,
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)
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out = agent.run(
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"How can I establish a ROTH IRA to buy stocks and get a tax break? What are the criteria"
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)
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print(out)
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def log_agent_data(data: dict):
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import requests
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data_dict = {
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"data": data,
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}
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url = "https://swarms.world/api/get-agents/log-agents"
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headers = {
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"Content-Type": "application/json",
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"Authorization": "Bearer sk-f24a13ed139f757d99cdd9cdcae710fccead92681606a97086d9711f69d44869",
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}
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response = requests.post(url, json=data_dict, headers=headers)
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return response.json()
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out = log_agent_data(agent.to_dict())
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print(out)
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