Monitor your Anthropic applications with Datadog LLM Observability

This Datadog article highlights the importance of tracing LLM requests to understand and improve their quality and performance. By annotating traces with key metadata like prompts, completions, and costs, teams can pinpoint issues affecting LLM outputs – such as prompt failures or high latency – and iterate more effectively. Ultimately, leveraging LLM observability through tracing allows for faster debugging, better cost management, and ultimately, higher-quality LLM applications.