gemini-batch-processor

To batch process multiple PDFs and CSVs through BAML and reduce costs, you can use Gemini batch processing. It automatically recommends batch execution for large-scale file tasks to lower expenses and improve throughput.

Choosing between Gemini Flash and Gemini Pro for batch processing depends on task complexity, file sizes, and token estimates. The system automatically selects the optimal model to balance performance and cost for your specific workload.

Handling large collections of invoices using Gemini for long-context processing involves batching multiple documents together. This approach leverages long-context capabilities to efficiently process folders of files while minimizing overall costs.

BAML workflow integration does support automated error handling for batch document processing. It enforces robust error management alongside model selection and batching strategies within your scaffolding and client code generation workflows.

You should use Gemini batch processing instead of standard individual LLM calls when processing multiple documents, PDFs, or CSVs. It is specifically designed for large-scale file tasks where cost-effective processing and high throughput are required.