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import os
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from swarms import Agent
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from swarms.models.popular_llms import OpenAIChatLLM
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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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# This tests uses the same code as the example.py file, with 1 different line
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def test_openai_no_quota():
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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 = OpenAIChatLLM(
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api_key=api_key,
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model_name="gpt-4o-mini",
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temperature=0.1,
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# This is the only difference, we redirect the request to our test server
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base_url="http://localhost:8000/openai/success",
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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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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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# 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=1,
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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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)
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response = 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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assert response == "Hello! How can I assist you today?"
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