How to effectively trace and monitor LLM interactions in production applications?

Effectively trace and monitor LLM interactions in production applications using Langfuse

This task can be performed using Langfuse

Teams building complex LLM applications struggle to debug, monitor, and improve their AI implementations.

Best product for this task

Langfu

Provides comprehensive LLM engineering platform for tracing, evaluation, prompt management, and metrics.

What to expect from an ideal product

  1. Track every conversation and prompt between your app and LLMs in real-time, with detailed logs and metadata
  2. Score and analyze responses automatically to spot issues before users do
  3. Manage and version control your prompts in one place, making updates and rollbacks simple
  4. Get useful metrics about response times, costs, and success rates across different LLM providers
  5. Debug production issues quickly by replaying conversations and seeing exactly what went wrong

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