Agent Playground

No data is sent to phidata, all agent sessions are stored locally in a sqlite database.

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",
    model=OpenAIChat(id="gpt-4o"),
    tools=[DuckDuckGo()],
    instructions=["Always include sources"],
    storage=SqlAgentStorage(table_name="web_agent", db_file="agents.db"),
    add_history_to_messages=True,
    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=["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 the serve_playground_app() points to the file that contains your Playground app.

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Authenticate with phidata

Authenticate with phidata by running the following command:

phi auth

or by exporting the PHI_API_KEY for your workspace from phidata.app

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Run the playground

Install dependencies and run the Agent Playground:

pip install 'fastapi[standard]' sqlalchemy

python playground.py

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View the playground

  • Open the link provided or navigate to http://phidata.app/playground (login required)
  • Select the localhost:7777 endpoint and start chatting with your agents!

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Demo Agents

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

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