The Evolution of LLM APIs: Million-Token Contexts and Multi-Agent Collaboration

This article explores the technical practices and evolution of large language model (LLM) APIs, focusing on million-token context windows, multi-tier reasoning strength, and multi-agent collaboration. It covers the technical value and engineering challenges of long contexts, dynamic reasoning scheduling (Low, High, Max), and the architecture of single-agent and Swarm multi-agent collaboration. Additionally, it examines the integration of search augmentation and asynchronous batch processing, providing developers with insights on building enterprise-grade intelligent systems.