Monitor your LiteLLM AI proxy with Datadog

This Datadog article discusses how tracing requests through Large Language Models (LLMs) is crucial for understanding and improving their performance and quality. By annotating LLM traces with key metadata like prompts, responses, and costs, teams can pinpoint issues, identify problematic prompts, and optimize LLM applications for better results and resource utilization. Essentially, LLM observability via tracing allows for data-driven improvements beyond just basic metrics.