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Datadog LLM Observability

  • 2 days ago
  • 2 min read

文章來源:Datadog official blog


Feature Overview

 

Datadog LLM Observability provides end-to-end tracing across AI agents with visibility into inputs, outputs, latency, token usage, and errors at each step, along with structured experiments and robust quality and security evaluations. By correlating LLM traces with APM and utilizing cluster visualization to identify drifts, Datadog LLM Observability helps teams rapidly test and validate changes in development and confidently scale AI applications in production while ensuring quality, safety, and cost-efficiency.



Improve AI agent behavior and operational performance


  • Track how AI agents and LLMs behave and why by tracing prompts, responses, and intermediate steps across AI agents


  • Improve performance and cost efficiency by monitoring latency, token usage, and errors throughout agentic workflows and LLM chains


  • Ensure consistent and reliable user experiences by identifying and troubleshooting production bottlenecks like slow response times

 

 


Balance performance, cost, and quality with structured experiments


  • Generate datasets directly from production traces to test changes against real-world scenarios


  • Validate and compare experiments in minutes using Playground to test prompt tweaks, swap models, or fine-tune parameters


  • Experiment with configurations, benchmark performance, and select your preferred iteration to confidently move to production




 

Evaluate and safeguard output quality, security, and safety


  • Detect issues like hallucinations with out-of-the-box evaluation frameworks or build custom evaluations for your KPIs


  • Enhance quality with prompt-response cluster visualizations that isolate low-quality outputs to identify drifts


  • Prevent leaks with built-in scanners and flag prompt injection attempts automatically




 

Unify visibility across your entire application stack


  • Improve full application performance and cost by tying LLM workloads to backend service and infrastructure metrics with APM


  • Connect LLM performance to user impact by linking response times and quality to real user sessions in RUM


  • Ship performant and reliable AI applications faster by accessing full stack visibility in one platform



 

Setup in seconds with our SDK:


想為您的 AI 應用建立最強防線嗎? 歡迎聯繫奧登資訊,我們將協助您導入 Datadog LLM Observability,從實驗室到大規模生產,全程護航您的 AI 創新。


進一步了解如何針對您的特定架構(例如 RAG 或多代理系統)配置這些監控指標嗎?


 

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