custom_logging.py
"""
Custom Logging
=============================
Example showing how to use a custom logger with Agno.
"""
import logging
from agno.agent import Agent
from agno.utils.log import configure_agno_logging, log_info
def get_custom_logger():
"""Return an example custom logger."""
custom_logger = logging.getLogger("custom_logger")
handler = logging.StreamHandler()
formatter = logging.Formatter("[CUSTOM_LOGGER] %(levelname)s: %(message)s")
handler.setFormatter(formatter)
custom_logger.addHandler(handler)
custom_logger.setLevel(logging.INFO) # Set level to INFO to show info messages
custom_logger.propagate = False
return custom_logger
# Get the custom logger we will use for the example.
custom_logger = get_custom_logger()
# Configure Agno to use our custom logger. It will be used for all logging.
configure_agno_logging(custom_default_logger=custom_logger)
# Every use of the logging function in agno.utils.log will now use our custom logger.
log_info("This is using our custom logger!")
# Now let's setup an Agent and run it.
# All logging coming from the Agent will use our custom logger.
# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------
agent = Agent()
# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
agent.print_response("What can I do to improve my sleep?")
Run the Example
1
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activate
uv venv --python 3.12
.venv\Scripts\activate
2
Install dependencies
uv pip install -U agno openai
3
Export your OpenAI API key
export OPENAI_API_KEY="your_openai_api_key_here"
$Env:OPENAI_API_KEY="your_openai_api_key_here"
4
Run the example
Save the code above as
custom_logging.py, then run:python custom_logging.py