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Easier logging and tracing of Python functions and class methods.
...Autologging provides two decorators and a custom log level:
"autologging.logged" decorates a class to create a __log member. By default, the logger is named for the class's containing module and name (e.g. "my.module.ClassName").
"autologging.traced" decorates a class to provide automatic CALL/RETURN tracing for all class, static, and instance methods, as well as the special __init__ method (by default)
"autologging.TRACE" is a custom log level (lower than logging.DEBUG) that is registered with the Python logging module when autologging is imported
Moodss is a modular monitoring application, composed of a GUI and a daemon, which supports any device or process for which a module can be developed. Complete dashboards with graphical viewers, thresholds, SQL database archiving, ... can be managed.
Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.
Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
A wrapper for Python's standard logging module to provide a file-like interface. Allows legacy code that wishes to log to a file (including stdout and stderr) to use the logger facility.
Module to allow for reading lines from a continuously-growing file (such as a system log). Handles log files that get rotated/trucated out from under us. Inspired by the Perl File::Tail module.