AIchain Pool: Parallel Calls Instead of Sequential
The AIchain Pool library introduces a parallel execution model for LLM calls, addressing the inefficiency of sequential processing. By allowing multiple independent LLM requests to run concurrently, it significantly reduces the time required to process large batches of documents. The Pool can wrap existing Skill logic without requiring code rewrites, and it manages concurrency through a `max_flows` parameter to respect API rate limits. AI
IMPACT Accelerates batch processing of LLM tasks by enabling parallel API calls, reducing latency and improving developer efficiency.