Monitor, troubleshoot, improve, and secure your LLM applications with Datadog LLM Observability

Datadog LLM Observability is a powerful tool designed to help AI engineers and software developers develop accurate, cost-efficient, secure, and highly performant Large Language Model (LLM) applications at scale. It enables end-to-end tracing of LLM application workflows, allowing users to monitor, secure, and improve their applications by analyzing traces to troubleshoot issues, monitoring operational performance, evaluating functional quality, tracking security exposures, and integrating with other Datadog tools for granular visibility into LLM behavior. By leveraging these features, users can identify root causes of issues, optimize chain components, detect prompt injections and security exploits, and form actionable insights about their application's health, performance, and security from a consolidated view.

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