GitHub - pydantic/logfire: Uncomplicated Observability for Python and beyond! 🪵🔥
Whenever you write a log, it’s important you choose the correct log level.
I personally mostly use ERROR, WARNING, INFO, or DEBUG (yes there are a few more).
Log levels TLDR
I personally mostly use ERROR, WARNING, INFO, or DEBUG (yes there are a few more).
Log levels TLDR
- ERROR: Parts of the flow failed, we want to send alerts to our on-call for this failures.
- WARNING: Doesn’t necessarily point to a failure, but an unexpected behavior that should
Logging practices I follow
Langfuse is an open source observability & analytics solution for LLM-based applications. It is mostly geared towards production usage but some users also use it for local development of their LLM applications.
Langfuse is focused on applications built on top of LLMs. Many new abstractions and common best practices evolved recently, e.g. agents,... See more
Langfuse is focused on applications built on top of LLMs. Many new abstractions and common best practices evolved recently, e.g. agents,... See more