AIDatadogabout 1 month ago
Monitoring LangGraph agents with Datadog: a practical guide
1 min read
Datadog AI Agent Monitoring traces LangGraph agent workflows using flame graphs. It captures agent steps, LLM calls, context injections, latency, and token consumption. Automated LLM-as-a-judge evaluations assess response quality. The sample agent uses Claude Sonnet 4.6 via Amazon Bedrock, Tavily for web search, and Amazon SNS for routing.
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