Logging LLM activity in Pipecat
The LLMLogObserver
provides detailed logging of Large Language Model (LLM) activity within your Pipecat pipeline. It tracks the entire lifecycle of LLM interactions, from initial prompts to final responses.
The observer tracks the following frame types (only from/to LLM service):
The observer uses emojis and consistent formatting for easy log reading:
All log entries include timestamps for precise timing analysis.
Logging LLM activity in Pipecat
The LLMLogObserver
provides detailed logging of Large Language Model (LLM) activity within your Pipecat pipeline. It tracks the entire lifecycle of LLM interactions, from initial prompts to final responses.
The observer tracks the following frame types (only from/to LLM service):
The observer uses emojis and consistent formatting for easy log reading:
All log entries include timestamps for precise timing analysis.