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swarms/agent_tools_dict_example.py

60 lines
1.7 KiB

from dotenv import load_dotenv
from swarms import Agent
from swarms.prompts.finance_agent_sys_prompt import (
FINANCIAL_AGENT_SYS_PROMPT,
)
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,
output_type="final",
)
out = agent.run(
"What is the current stock price for Apple Inc. (AAPL)? Include historical price data.",
)
print(type(out))