OpenLIT utilizes OpenTelemetry Auto-Instrumentation to monitor LLM applications developed using models from GPT4All. It tracks performance, token usage, and user interaction with the application. Auto-instrumentation eliminates the need for manual setup of monitoring for various LLMs, frameworks, or databases.
By integrating OpenLIT into your application, all necessary monitoring configurations are automatically established. This integration is compatible with the GPT4All Python SDK client version 2.6.0 or later.
Key takeaways:
OpenLIT uses OpenTelemetry Auto-Instrumentation to monitor LLM applications built using models from GPT4All.
It tracks performance, token usage, and user interaction with the application.
Auto-instrumentation eliminates the need for manual setup of monitoring for different LLMs, frameworks, or databases.
The integration is compatible with GPT4All Python SDK client `>=2.6.0`.
