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

After your daily batch of 10,000 documents completes, 300 documents (3%) failed with "context_length_exceeded" errors. The results file identifies each failure by custom_id.

What's the most cost-effective approach to process these failures?