Unverified50% confidenceFactExact time
In an Agent loop, the full context must be sent as input each round; the input token count for round N is approximately C + (N-1) × (O + F), growing linearly or super-linearly with the number of rounds.
1
Sources
50%
Confidence
Long-term
Relevance
8/31/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedAgent 的每一轮循环都需将完整历史上下文传入 LLM，导致 token 消耗随任务复杂度呈线性乃至指数增长64% 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.63% similarUnverified每个子代理启动都需重新注入项目背景、规则约束和代码库快照，导致 Token 消耗呈倍增态势而非线性叠加，主任务消耗 N 个 Token 时三个子代理可能合计消耗 3N 甚至更多61% similarUnverifiedIn the Transformer self-attention mechanism, each token must compute attention weights with all other tokens within the window, giving a computational complexity of O(n²).60% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/827563API
curl https://kongchang.com/api/v1/knowledge/claims/827563MCP
get_claim(id=827563)