Team Tool Call Metrics

from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.team import Team
from agno.tools.yfinance import YFinanceTools
from rich.pretty import pprint

stock_searcher = Agent(
    name="Stock Searcher",
    model=OpenAIChat(id="gpt-4o-mini"),
    role="Searches for stock information.",
    tools=[YFinanceTools()],
)

team = Team(
    name="Stock Research Team",
    model=OpenAIChat(id="gpt-4o-mini"),
    members=[stock_searcher],
    markdown=True,
    show_members_responses=True,
    store_member_responses=True,
)

if __name__ == "__main__":
    run_output = team.run("What is the stock price of NVDA?")

    # Team leader run metrics
    print("=" * 50)
    print("TEAM LEADER RUN METRICS")
    print("=" * 50)
    pprint(run_output.metrics)

    # Member-level run metrics and tool calls
    print("=" * 50)
    print("MEMBER RUN METRICS")
    print("=" * 50)
    if run_output.member_responses:
        for member_response in run_output.member_responses:
            print(f"\nMember: {member_response.agent_name}")
            print("-" * 40)
            pprint(member_response.metrics)

            if member_response.tools:
                print(f"\nTool calls ({len(member_response.tools)}):")
                for tool_call in member_response.tools:
                    print(f"  Tool: {tool_call.tool_name}")
                    if tool_call.metrics:
                        pprint(tool_call.metrics)