Message Batches Job Design

A reusable checklist for deciding when and how to use the Anthropic Message Batches API for asynchronous, high-volume processing at reduced cost.

uygnoey Updated

File contents

message-batches-job-design

Instructions

  • Use the Message Batches API when work is not time-sensitive and you can wait up to 24 hours for completion. - Design each batch for high volume (up to 10,000 queries) and plan for asynchronous retrieval of results. - Use batching to reduce cost (50% discount on input and output tokens) and to increase throughput without consuming standard API rate limits. - Prefer batching for large-scale analysis/classification/translation/evaluation workloads where you would otherwise build complex queueing.

Examples

  • "We need to classify 2 million support tickets into 20 labels over the weekend—use the Batches API design checklist." - "Translate a large set of product descriptions where same-day delivery is fine; estimate cost savings vs standard calls." - "Run an offline model evaluation suite with 8,000 prompts; plan the batch submission and result download flow."

Source

uygnoey/skills-from-claude-blog/tree/main/2024.10.08_message-batches-api/skills/message-batches-job-design commit d353e03600

Frequently asked questions

npx skillmds@latest add uygnoey/message-batches-job-design