Generative AI observability
Gain deep visibility into the quality, performance, and health of your generative AI workloads
Why Amazon CloudWatch generative AI observability?
With Amazon CloudWatch, you can observe generative AI workloads, including Amazon Bedrock AgentCore agents, and gain insights into AI performance, health, and accuracy. CloudWatch provides pre-configured views into latency, usage, and errors of your AI 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
See all your AI agents in a single view with fleet-level dashboards showing quality trends, evaluation scores, and performance metrics, accessible via a standalone web UI with enterprise SSO, no AWS Console required. Get end-to-end visibility into agent behavior including reasoning, inputs, outputs, and tool usage, and debug directly from your IDE with agent observability extensions for VS Code, Kiro, and Cursor.
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.
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