from dotenv import load_dotenv from swarms import Agent from swarms.prompts.finance_agent_sys_prompt import ( FINANCIAL_AGENT_SYS_PROMPT, ) from swarms.utils.str_to_dict import str_to_dict load_dotenv() tools = [ { "type": "function", "function": { "name": "get_stock_price", "description": "Retrieve the current stock price and related information for a specified company.", "parameters": { "type": "object", "properties": { "ticker": { "type": "string", "description": "The stock ticker symbol of the company, e.g. AAPL for Apple Inc.", }, "include_history": { "type": "boolean", "description": "Indicates whether to include historical price data along with the current price.", }, "time": { "type": "string", "format": "date-time", "description": "Optional parameter to specify the time for which the stock data is requested, in ISO 8601 format.", }, }, "required": [ "ticker", "include_history", "time", ], }, }, } ] # Initialize the agent agent = Agent( agent_name="Financial-Analysis-Agent", agent_description="Personal finance advisor agent", system_prompt=FINANCIAL_AGENT_SYS_PROMPT, max_loops=1, tools_list_dictionary=tools, ) out = agent.run( "What is the current stock price for Apple Inc. (AAPL)? Include historical price data.", ) print(out) print(type(out)) print(str_to_dict(out)) print(type(str_to_dict(out)))