Datadog LLM Observability

by Datadog

Safeguard LLM applications

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Enhance performance & security of your large language model

Datadog LLM Observability provides end-to-end tracing of LLM chains with visibility into input-output, errors, token usage, latency at each step, and robust output quality and security evaluations. By seamlessly correlating LLM traces with APM and utilizing cluster visualization to identify drifts, it enables you to swiftly resolve issues and scale AI applications in production, all while ensuring accuracy and safety.

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Top Features

  • Expedite troubleshooting of your LLM applications and deliver reliable user experiences.

  • Monitor the performance, cost, and health of your LLM applications in real time.

  • Continuously evaluate and improve the quality of responses from your LLM applications.

  • Proactively safeguard your applications and protect user data.

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Datadog LLM Observability - From Chatbots to Autonomous Agents

As companies rapidly adopt Large Language Models (LLMs), understanding their unique challenges becomes crucial.

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