Individual skill
cost-aware-llm-pipeline
LLM API 使用成本优化模式 —— 基于任务复杂度的模型路由、预算跟踪、重试逻辑和提示缓存。
docs/zh-CN/skills/cost-aware-llm-pipeline/SKILL.md
Source commit dfbf9467b90dfd29bffa842c4e0a6977112900e2
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Local scripts
- Last checked
- Nov 3, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 2,024
- Repository last updated
- Mar 5, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- ai-agents Repository topic
- anthropic Repository topic
- claude Repository topic
- claude-code Repository topic
- developer-tools Repository topic
- llm Repository topic
- mcp Repository topic
- productivity Repository topic
- everything-claude-code Repository topic
- oneskill Repository topic
- engineering Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
Read excerpt
# 成本感知型 LLM 流水线
在保持质量的同时控制 LLM API 成本的模式。将模型路由、预算跟踪、重试逻辑和提示词缓存组合成一个可组合的流水线。
## 何时激活
* 构建调用 LLM API(Claude、GPT 等)的应用程序时
* 处理具有不同复杂度的批量项目时
* 需要将 API 支出控制在预算范围内时
* 需要在复杂任务上优化成本而不牺牲质量时
## 核心概念
### 1. 根据任务复杂度进行模型路由