OpenAI Basic Stream Metrics

Stream a response, then read run-level and per-message metrics from the last run output.

basic_stream_metrics.py
"""
Openai Basic Stream Metrics
===========================

Cookbook example for `openai/chat/basic_stream_metrics.py`.
"""

from typing import Iterator  # noqa
from agno.agent import Agent, RunOutputEvent  # noqa
from agno.models.openai import OpenAIChat
from agno.db.in_memory import InMemoryDb

# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------

agent = Agent(model=OpenAIChat(id="gpt-5.6-luna"), db=InMemoryDb(), markdown=True)

# Get the response in a variable
# run_response: Iterator[RunOutputEvent] = agent.run("Share a 2 sentence horror story", stream=True)
# for chunk in run_response:
#     print(chunk.content)

# Print the response in the terminal
agent.print_response("Share a 2 sentence horror story", stream=True)

run_output = agent.get_last_run_output()
print("Metrics:")
print(run_output.metrics)

print("Message Metrics:")
for message in run_output.messages:
    if message.role == "assistant":
        print(message.role)
        print(message.metrics)

# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------

if __name__ == "__main__":
    pass

Run the Example

Set up your virtual environment

uv venv --python 3.12
source .venv/bin/activate

Install dependencies

uv pip install -U agno openai

Export your OpenAI API key

export OPENAI_API_KEY="your_openai_api_key_here"

Run the example

Save the code above as basic_stream_metrics.py, then run:

python basic_stream_metrics.py

Full source: cookbook/90_models/openai/chat/basic_stream_metrics.py