QuestionQ111

Prompt Engineering & Structured Output

You are creating a structured data-extraction system with Claude. The system extracts information from unstructured documents, validates output with JavaScript Object Notation (JSON) schemas, and maintains high accuracy. It must gracefully handle edge cases and integrate with downstream systems.

Your extraction system handles two document types: standard monthly reports, which are archived after processing, and urgent exception reports, which must trigger business alerts within 30 minutes of receipt. Both use the same JSON schema. You want to minimize API costs while satisfying latency requirements.

How should you design the processing pipeline?

Explanation

Anthropic’s Batch API is intended for asynchronous, non-time-sensitive processing and offers a 50% discount on both input and output tokens. Standard monthly reports can use it to reduce cost. Urgent exception reports must be processed through the real-time Messages API so alert generation can satisfy the 30-minute requirement.

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