Unverified50% confidenceFeatureExact time
Herdr supports assigning different tiers of models to different Agents based on the nature of their tasks, in order to control Token costs.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/3/2026
First Seen
Valid until: 1/1/2027
Sources
Related Entities
Related Claims
Unverified按调用付费模式适合Agent这种任务驱动、工具动态选择的使用模式，使成本与实际价值产出精确对齐71% similarUnverifiedherdr's command-line interface is designed for Agents themselves to use, and having one Agent send a message to another Agent requires only executing the herdr agent prompt command.69% similarUnverifiedStrategies for controlling Agent token consumption include setting a per-task token limit, using more economical small models for simple subtasks, and summarizing and compressing tool return results.69% similarUnverifiedHerdr coordinates multiple AI programming Agents through a client and local Socket API, enabling Agents to communicate with each other and work collaboratively.66% similarUnverified常用的Agent成本优化策略包括上下文压缩、检索增强替代全量上下文传递、动态路由到成本更低的小模型、设置Token预算硬上限66% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/969986API
curl https://kongchang.com/api/v1/knowledge/claims/969986MCP
get_claim(id=969986)