Datadog LLM Observability natively supports OpenTelemetry GenAI Semantic Conventions

This Datadog article highlights the importance of tracing requests through Large Language Models (LLMs) to pinpoint performance bottlenecks and quality issues. By annotating these traces with key metadata like prompts and responses, teams can better understand why an LLM generated a particular output and identify areas for improvement in model performance or data quality. Ultimately, leveraging LLM Observability with tracing enables faster debugging, better model optimization, and a more reliable user experience.