Phidata gives you a UI for interacting with your agents.

When using the UI, phidata does not store any data, all data is stored locally on your machine.

Let’s take it for a spin, create a file playground.py

playground.py
from phi.agent import Agent
from phi.model.openai import OpenAIChat
from phi.storage.agent.sqlite import SqlAgentStorage
from phi.tools.duckduckgo import DuckDuckGo
from phi.tools.yfinance import YFinanceTools
from phi.playground import Playground, serve_playground_app

web_agent = Agent(
    name="Web Agent",
    role="Search the web for information",
    model=OpenAIChat(id="gpt-4o"),
    tools=[DuckDuckGo()],
    storage=SqlAgentStorage(table_name="web_agent", db_file="agents.db"),
    add_history_to_messages=True,
    markdown=True,
)

finance_agent = Agent(
    name="Finance Agent",
    role="Get financial data",
    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=SqlAgentStorage(table_name="finance_agent", db_file="agents.db"),
    add_history_to_messages=True,
    markdown=True,
)

app = Playground(agents=[finance_agent, web_agent]).get_app()

if __name__ == "__main__":
    serve_playground_app("playground:app", reload=True)
Make sure serve_playground_app() point to the file that contains your Playground app.

​
Authenticate with phidata

phi auth

​
Run the playground

  • Install dependencies
pip install 'fastapi[standard]' sqlalchemy
  • Run the playground
python playground.py

​
View the playground

  • Open your link provided or navigate to http://phidata.app/playground
  • Select your endpoint, agent and chat with your agents!

​
Demo Agents

The Agent Playground includes a few demo agents that you can test with. If you have recommendations for other demo agents, please let us know in our community forum.

Was this page helpful?

AgentsMonitoring & Debugging