Developer traces 22-second AI agent slowdown to oversized IAM payload via Sentry

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A developer building a five-agent AWS security auditing pipeline noticed one agent, SecurityScanner, was taking 22.6 seconds to complete while all others finished in 5 to 10 seconds. Initial suspicion pointed to Amazon Bedrock LLM latency, but Sentry's trace waterfall revealed the true cause. The IAMAnalyzer tool was fetching 90 IAM roles, serializing them into a nearly 27KB JSON blob, and passing the entire payload to the LLM as tool output, overwhelming its context window. This triggered CrewAI's internal retry logic, doubling token usage and inflating execution time for the entire pipeline. Fixing the tool to limit payload size resolved the bottleneck and brought the agent's runtime in line with the rest.

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