Example showing how to analyze the runtime and memory usage of an Agent that is using storage.
"""Run `pip install openai agno` to install dependencies."""
from agno.agent import Agent
from agno.eval.performance import PerformanceEval
from agno.models.openai import OpenAIChat
def simple_response():
agent = Agent(
model=OpenAIChat(id="gpt-4o-mini"),
system_message="Be concise, reply with one sentence.",
add_history_to_messages=True,
)
response_1 = agent.run("What is the capital of France?")
print(response_1.content)
response_2 = agent.run("How many people live there?")
print(response_2.content)
return response_2.content
simple_response_perf = PerformanceEval(
func=simple_response, num_iterations=1, warmup_runs=0
)
if __name__ == "__main__":
simple_response_perf.run(print_results=True, print_summary=True)
Was this page helpful?
Example showing how to analyze the runtime and memory usage of an Agent that is using storage.
"""Run `pip install openai agno` to install dependencies."""
from agno.agent import Agent
from agno.eval.performance import PerformanceEval
from agno.models.openai import OpenAIChat
def simple_response():
agent = Agent(
model=OpenAIChat(id="gpt-4o-mini"),
system_message="Be concise, reply with one sentence.",
add_history_to_messages=True,
)
response_1 = agent.run("What is the capital of France?")
print(response_1.content)
response_2 = agent.run("How many people live there?")
print(response_2.content)
return response_2.content
simple_response_perf = PerformanceEval(
func=simple_response, num_iterations=1, warmup_runs=0
)
if __name__ == "__main__":
simple_response_perf.run(print_results=True, print_summary=True)
Was this page helpful?