Why Amazon CloudWatch generative AI observability?
Monitor and trace every component of your generative AI application including knowledge base, model, and agents, so you can move quickly from prototype to production. Detect issues faster using out-of-the-box dashboards with visibility into latency, usage, and errors of your workloads.
Get insights into performance and accuracy
With minimal setup, you get out-of-the-box insights so that you can investigate quickly and optimize quality and performance. Monitor generative AI model invocations instantly using prebuilt dashboards that track key metrics for generative AI including token usage, latency, and error rates.
Monitor your fleet of AI agents in one place
Monitor and assess all of your AI agents from the "AgentCore" tab in the CloudWatch genAI observability console. From there you can get an end-to-end view of agent behavior, with detailed reasoning, inputs, outputs, and tool usage. Accelerate debugging and quality audits with comprehensive visibility into agent workflows, applications, and infrastructure.
Debug faster with end-to-end prompt tracing
Debug faster with end-to-end prompt tracing of components including knowledge bases, tools, and models. Dive deeper using filters such as timing, tool usage, and knowledge lookups, all in the CloudWatch console.
Observe across your generative AI applications
Extend CloudWatch capabilities to observe your generative AI workloads, with real-time monitoring, swift issue detection, and enhanced performance optimization. Reveals hidden dependencies, bottlenecks, and blast radius risks, so your team can troubleshoot faster and make smarter decisions together.You can also choose from popular generative AI orchestration frameworks such as Strands Agents, LangChain, and LangGraph, offering flexibility with your choice of framework.
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