Developer Builds AWS Bedrock Chatbot, Navigates Quota Limits and Prompt Caching

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A developer enrolled in the Formação AWS course by Henrylle Maia documented their hands-on journey learning Amazon Bedrock, AWS's fully managed service for accessing foundation AI models via API. Using Anthropic's Claude Sonnet 4.5, they built a ticket-selling chatbot that evolved from a single Bash script into an interactive, Node.js-based streaming application. Early testing was blocked by a throttling error tied to cross-region inference token quotas, which the developer resolved by manually requesting a quota increase through the AWS Service Quotas console. The developer noted that model quotas are not enabled by default and must be requested individually, a process they found poorly documented by AWS. The project concluded with the addition of prompt caching, which prevents the system prompt from being billed at full cost on every API call.

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