Unverified50% confidenceFactExact time
Setting parameters such as token limits or max_iterations inside an AI agent runtime can define boundaries for a single execution, preventing the agent from falling into infinite loops or uncontrollably consuming resources.
1
Sources
50%
Confidence
Long-term
Relevance
9/11/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedImplementing the principle of least privilege in AI Agent scenarios can employ temporary tokens (short-lived tokens), fine-grained API permission scopes, and dynamic permission granting mechanisms based on task context.79% similarUnverifiedSetting a maximum number of steps, timeout duration, and cost ceiling for each Agent can prevent Agents from falling into infinite loops that consume tokens and API quotas.78% similarUnverifiedAn Agent's ability to self-verify determines the upper limit of the number of Agents a developer can manage in parallel; if Agents lack self-checking capabilities, human intervention becomes a bottleneck for parallel scaling.77% similarUnverifiedAn Agent's autonomous verification capabilities (such as independently capturing CPU profiles, memory profiles, and running the iOS simulator) determine the upper limit on the number of Agents that can be managed in parallel.75% similarUnverifiedClaude Code 属于 Agentic AI 范畴,通过代理循环(Agent Loop)在单次用户指令下可自主发起数十轮工具调用74% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/896927API
curl https://kongchang.com/api/v1/knowledge/claims/896927MCP
get_claim(id=896927)