Unverified80% confidenceFactTime unknown
在代码Agent场景下，一次完整任务的轨迹长度可达数十万token
1
Sources
80%
Confidence
Long-term
Relevance
5/31/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedCoding Agent采用感知-规划-行动循环（类似ReAct框架），复杂任务可能需要数十次内部迭代，每次任务处理可能需要10到15分钟76% similarUnverifiedIn multi-agent systems, each Agent call must carry the full context, and multi-turn reasoning continuously accumulates conversation history, meaning a seemingly simple multi-Agent task may consume tens of thousands or even hundreds of thousands of Tokens, whereas an equivalent workflow might only require a single call of a few hundred Tokens.71% similarUnverified一个中等规模代码重构任务的 Agent 可能需要读取20-30个文件、执行10余次工具调用，累计上下文突破50000 tokens69% similarUnverified一个复杂的 Agentic 任务可能需要数十次 LLM 推理，总耗时从几十秒到数分钟不等67% similarUnverifiedA user generated approximately 750,000 lines of Rust code using Claude Code's dynamic workflow, achieving a test pass rate of 99.8%, with the entire project taking only 11 days from submission to merge.66% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/12618API
curl https://kongchang.com/api/v1/knowledge/claims/12618MCP
get_claim(id=12618)