Expired50% confidenceFactExact time
The system prompt is resent in every round of conversation, producing a cumulative token consumption effect.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
Valid until: 9/30/2026(expired)
Sources
Avoid oh-my-openagent: Hardcoded Model Identity Injection Wastes Half Your Tokens
bilibili库洛米大人的大人6/8/2026
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74% 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.74% similarUnverified多Agent架构中Agent间传递上下文时重复信息被反复处理，导致Token消耗和成本上升73% 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.71% similarUnverified在智能体工作流中，历史交互作为输入Token累积，导致总Token消耗随任务轮次呈近似平方级增长70% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/48693API
curl https://kongchang.com/api/v1/knowledge/claims/48693MCP
get_claim(id=48693)