多智能体协调中的15倍令牌税

Multi-agent systems coordinate over HTTP by serializing context into JSON, sending it as request bodies, parsing it on the receiving end, and feeding it back into a large language model (LLM). Each message carries HTTP headers, content-type negotiations, and authentication tokens. Due to the stateless nature of HTTP, every coordination step retransmits the accumulated context of the entire interaction. Measurements indicate that this coordination overhead can cost up to 15 times more tokens than the actual task content. In a three-agent pipeline processing a document, Agent A sends the document and instructions to Agent B (5K tokens), Agent B sends everything along with its analysis to Agent C (12K tokens), and Agent C returns the full chain with its contribution (20K tokens). The document itself was 3K tokens, resulting in a coordination overhead of 34K tokens.