|
| 1 | +import groq |
| 2 | +import os |
| 3 | +from dotenv import load_dotenv |
| 4 | + |
| 5 | +# AI assistant imports |
| 6 | +from agno.agent import Agent |
| 7 | +from agno.models.groq import Groq |
| 8 | +from agno.tools.yfinance import YFinanceTools |
| 9 | +from agno.tools.duckduckgo import DuckDuckGoTools |
| 10 | +from agno.agent import Agent, RunResponse |
| 11 | + |
| 12 | +load_dotenv(dotenv_path=".env") |
| 13 | +GROQ_API_KEY = os.getenv("api_key") |
| 14 | + |
| 15 | +groq_client = groq.Client(api_key=GROQ_API_KEY) |
| 16 | + |
| 17 | +if not GROQ_API_KEY: |
| 18 | + raise ValueError("Please provide a GROQ API key") |
| 19 | + |
| 20 | + |
| 21 | +web_search_agent = Agent( |
| 22 | + name="web_agent", |
| 23 | + role="search the web for information based on the user given input", |
| 24 | + model=Groq(id="llama-3.3-70b-specdec",api_key=GROQ_API_KEY), |
| 25 | + tools=[ |
| 26 | + DuckDuckGoTools(search=True, news=True), |
| 27 | + |
| 28 | + ], |
| 29 | + instructions=[ |
| 30 | + "You are a very professional web search AI agent", |
| 31 | + "your job is to search the web for information based on the user given input", |
| 32 | + "provide exact information to the user available on the web", |
| 33 | + ], |
| 34 | + structured_outputs=False, |
| 35 | + markdown=True, |
| 36 | +) |
| 37 | +financial_agent = Agent( |
| 38 | + name="financial_agent", |
| 39 | + role="get financial information", |
| 40 | + model=Groq(id="llama-3.3-70b-specdec",api_key=GROQ_API_KEY), |
| 41 | + tools=[ |
| 42 | + YFinanceTools(stock_price=True, |
| 43 | + analyst_recommendations=True, |
| 44 | + stock_fundamentals=True, |
| 45 | + company_info=True, |
| 46 | + technical_indicators=True, |
| 47 | + historical_prices=True, |
| 48 | + key_financial_ratios = True, |
| 49 | + income_statements = True, |
| 50 | + ), |
| 51 | + ], |
| 52 | + instructions=[ |
| 53 | + "You are a very professional financial advisor AI agent", |
| 54 | + "your job is to provide financial information to users", |
| 55 | + "you can provide stock price, analyst recommendations, and stock fundamentals", |
| 56 | + "you can also provide information about companies, industries, and financial terms", |
| 57 | + ], |
| 58 | + structured_outputs=False, |
| 59 | + markdown=True, |
| 60 | +) |
| 61 | + |
| 62 | +multi_ai = Agent( |
| 63 | + team=[web_search_agent, financial_agent], |
| 64 | + model=Groq(id="llama-3.3-70b-specdec",api_key=GROQ_API_KEY), |
| 65 | + markdown=True, |
| 66 | +) |
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