teams_memory 0.1.0a0

Memory module for creating intelligent agents within Microsoft Teams

Memory Module

[!IMPORTANT] teams_memory is in alpha, we are still internally validating and testing!

Logging

You can enable logging when setting up the memory module in the config.

config = MemoryModuleConfig()
config.enable_logging=True,

How does it work?

The teams_memory library uses Python's logging library to facilitate logging. The teams_memory logger is configured to log debug messages (and higher serverity) to the console.

To set up the logger in your Python file, use the following code:

import logging

logger = logging.getLogger(__name__)

This will create a logger named teams_memory.<sub_module>.<file_name>, which is a descendant of the teams_memory logger. All logged messages will be passed up to the handler assigned to the teams_memory logger.

How to customize the logging behavior of the library?

Instead of setting MemoryModuleConfig.enable_logging to True, directly access the teams_memory logger like this:

import logging

logger = logging.getLogger("teams_memory")

You can apply customizations to it. All loggers used in the library will be a descendant of it and so logs will be propagated to it.