About this Talk
Observability plays a crucial role in building reliable LLM agents. It involves the systematic collection and analysis of data to enhance the agents' performance, identify and correct biases, troubleshoot issues, and ensure AI systems are both reliable and trustworthy.
In this discussion, we will explore the concept of LLM observability in depth, including the initial LLM semantic convention which has just been adopted by the OpenTelemetry community, and how OpenTelemetry can fit into the world of LLM observability. Additionally, we will share more detail about how OpenLLMetry is leveraging OpenTelemetry to do LLM Observability for the whole AI stack, including vector DB, LLMs, Model Orchestration Platform etc.