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UID:pretalx-pyconde-pydata-2025-HKYQDB@pretalx.com
DTSTART;TZID=CET:20250425T144000
DTEND;TZID=CET:20250425T151000
DESCRIPTION:Large Language Models (LLMs) are transforming digital products\
 , but their non-deterministic behaviour challenges predictability and test
 ing\, making observability essential for quality and scalability.\n\nThis 
 talk presents **observability for LLM-based applications**\, spotlighting 
 three tools: Langfuse\, OpenLIT\, and Phoenix. We'll share best practices 
 about what and how to monitor LLM features and explore each tool's strengt
 hs and limitations. \n\nLangfuse excels in tracing and quality monitoring 
 but lacks OpenTelemetry support and customization. OpenLIT\, while less ma
 ture\, integrates well with existing observability stacks using **OpenTele
 metry**. Phoenix stands out in debugging and experimentation but struggles
  with real-time tracing.\n\nThe comparison will be enhanced by **live codi
 ng examples**.\n\nAttendees will walk away with an improved understanding 
 of observability for **GenAI applications** and will understand which tool
  to use for their use case.
DTSTAMP:20260309T211522Z
LOCATION:Palladium
SUMMARY:Langfuse\, OpenLIT\, and Phoenix: Observability for the GenAI Era -
  Emanuele Fabbiani
URL:https://pretalx.com/pyconde-pydata-2025/talk/HKYQDB/
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