Expired50% confidenceTradeoffExact time
Due to the combination of multiple rounds of iteration, full context carrying, and self-checking mechanisms, token consumption in Loop Engineering is typically 5 to 20 times that of ordinary conversations.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/17/2026
First Seen
Valid until: 10/15/2026(expired)
Sources
Related Claims
Unverified在多轮Agent对话中，每轮都需携带完整上下文，越往后的轮次Token消耗越高75% similarUnverifiedIn loop scenarios, each iteration requires feeding the entire conversation history back into the model, causing per-iteration token consumption to increase incrementally due to context accumulation, resulting in a cost curve steeper than linear.73% similarUnverifiedWhen an agent is in a loop, each call carries the accumulated conversation history, causing token consumption to grow linearly or even super-linearly with the number of iterations.71% similarUnverified在一个典型的代码生成-审查-修复循环中，涉及3个智能体各进行2轮交互，Token消耗可能是单次调用的6-10倍71% similarUnverifiedA complex programming task may involve dozens of tool-call loops, each of which consumes tokens and introduces latency.68% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/544202API
curl https://kongchang.com/api/v1/knowledge/claims/544202MCP
get_claim(id=544202)