from agno.agent import Agentfrom agno.models.openai import OpenAIChatfrom agno.playground import Playgroundfrom agno.storage.sqlite import SqliteStoragefrom agno.tools.duckduckgo import DuckDuckGoToolsfrom agno.tools.yfinance import YFinanceToolsagent_storage: str = "tmp/agents.db"web_agent = Agent( name="Web Agent", model=OpenAIChat(id="gpt-4o"), tools=[DuckDuckGoTools()], instructions=["Always include sources"], # Store the agent sessions in a sqlite database storage=SqliteStorage(table_name="web_agent", db_file=agent_storage), # Adds the current date and time to the instructions add_datetime_to_instructions=True, # Adds the history of the conversation to the messages add_history_to_messages=True, # Number of history responses to add to the messages num_history_responses=5, # Adds markdown formatting to the messages markdown=True,)finance_agent = Agent( name="Finance Agent", model=OpenAIChat(id="gpt-4o"), tools=[YFinanceTools(stock_price=True, analyst_recommendations=True, company_info=True, company_news=True)], instructions=["Always use tables to display data"], storage=SqliteStorage(table_name="finance_agent", db_file=agent_storage), add_datetime_to_instructions=True, add_history_to_messages=True, num_history_responses=5, markdown=True,)playground = Playground(agents=[web_agent, finance_agent])app = playground.get_app()if __name__ == "__main__": playground.serve("playground:app", reload=True)
