Agent with Metrics

from agno.agent import Agent, RunOutput
from agno.models.groq import Groq
from agno.tools.yfinance import YFinanceTools
from agno.utils.pprint import pprint_run_response
from rich.pretty import pprint

agent = Agent(
    model=Groq(id="llama-3.3-70b-versatile"),
    tools=[YFinanceTools(stock_price=True)],
    markdown=True,
)

run_output: RunOutput = agent.run("What is the stock price of NVDA")
pprint_run_response(run_output)

# Print metrics per message
if run_output.messages:
    for message in run_output.messages:  # type: ignore
        if message.role == "assistant":
            if message.content:
                print(f"Message: {message.content}")
            elif message.tool_calls:
                print(f"Tool calls: {message.tool_calls}")
            print("---" * 5, "Metrics", "---" * 5)
            pprint(message.metrics)
            print("---" * 20)

# Print the metrics
print("---" * 5, "Collected Metrics", "---" * 5)
pprint(run_output.metrics)  # type: ignore