Boomi Scribe automates integration process documentation using AWS AI services, reducing technical debt for enterprise developers. ^[1] LLM agents that cache recovery suggestions from API errors can skip re-derivation in later episodes, spending fewer tokens and fewer model calls on constraints they have already learned. ^[2] The authors introduce invalidation contracts, a protocol layer that attaches version stamps and cacheability hints to every recovery suggestion so the client can evict stale entries without trial and error, and keep the rest. ^[3] Boomi Scribe generates detailed documentation and version comparisons using Amazon Bedrock and Anthropic's Claude Haiku 4.5 models. ^[4] Manual documentation of integration workflows led to inconsistencies, inefficiencies, and compliance risks for enterprise teams. ^[5] The tool parses integration workflows represented as Directed Acyclic Graphs (DAGs) and converts them into structured documentation formats. ^[6] Identical wire bytes yield 100% first-try compliance on Claude Haiku 4.5 and 11% or below on Claude Sonnet 5, which exhibits input-schema conservatism, refusing fixes that add fields the original request did not contain. ^[7] The contract decomposes realized savings into two independent factors: validity, the fraction of cached suggestions that remain correct after a drift event, and compliance, the fraction the planner applies on the first attempt. ^[8]