Unverified85% confidenceFactTime unknown
ADK中的Skills由YAML元数据和Markdown正文组成,通过渐进式上下文理解减少Token消耗和响应时间
1
Sources
85%
Confidence
Long-term
Relevance
6/1/2026
First Seen
Sources
Google Agent Platform全解析:ADK、MCP、A2A构建生产级AI Agent
bilibiliGoogle中国
Related Entities
Related Claims
Unverified智能体模式下Token消耗呈非线性增长,因每次工具调用结果追加到上下文中,多步骤任务的Token消耗可达O(n²)级别,使低成本模型对智能体场景至关重要63% similarUnverifiedUltra mode coordinates four agents working in parallel simultaneously by default, trading more tokens for stronger results and shorter completion times60% similarUnverified系统层的三项关键指标为端到端执行总延迟、Token消耗与第三方API调用成本、多次重复运行的稳定性59% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/26269API
curl https://kongchang.com/api/v1/knowledge/claims/26269MCP
get_claim(id=26269)