Anthropic Message Batches & Async Events
Implements high-volume asynchronous message processing and batch job management using the Anthropic Batch API for cost-effective AI scaling.
This skill enables developers to manage large-scale data processing tasks by leveraging Anthropic's Message Batches API within the Claude Code environment. It provides standardized patterns for creating, polling, and retrieving results from bulk operations, allowing for up to 10,000 concurrent requests per batch. By utilizing asynchronous processing, users can achieve a 50% reduction in token costs while maintaining high-quality output for non-time-sensitive tasks like document summarization, data extraction, or bulk content generation, all while managing the 24-hour processing SLA.
主な機能
01Cost optimization with 50% off standard per-token pricing
02Cross-language support with TypeScript and Python implementation patterns
03Bulk processing of up to 10,000 requests per individual batch
042,350 GitHub stars
05Automated polling mechanisms for asynchronous job status monitoring
06Robust error handling and retry logic for failed or expired batch items
ユースケース
01Bulk sentiment analysis and categorization of customer feedback logs
02Summarizing large repositories of documents or datasets overnight
03Processing non-real-time event-driven data streams and webhooks