自建Agent框架可显著降低Token成本与系统开销
If you build your own harness, you can drive that cost down even further.
Agent落地中Token成本是核心痛点，这篇直接拆解了自建框架的六大优化维度，适合正在做Agent架构选型或优化的工程师参考。
If you build your own harness, you can drive that cost down even further.
如果你自己构建 harness（智能体框架/集成层），你可以进一步降低成本。
Out-of-the-box agent harnesses are, in my opinion, way too bloated. They try to solve way too many things that aren't useful for everyone.
开箱即用的 agent harness 在我看来过于臃肿。它们试图解决太多对每个人来说都不实用的问题。
You are paying a huge premium for no good reason.
你毫无理由地支付了高昂的溢价。
While cost is not the only reason to build your own harness, it's one of the biggest benefits.
虽然成本不是构建自定义 harness 的唯一原因，但它是一个最大的好处。
A few optimizations that make it possible:
以下是一些使其成为可能的优化措施：
- optimize for tasks you care about - lighter and more optimal system prompt - more efficient tool calling - better context compaction/handoff - leverage different models via custom routing - improved reliability through custom verifiers ... and much more.
- 针对你关心的任务进行优化 - 更轻量且更优的系统提示词（system prompt） - 更高效的工具调用 - 更好的上下文压缩/交接 - 通过自定义路由利用不同的模型 - 通过自定义验证器提高可靠性 ……以及更多。
Just some quick thoughts on it, but I really think it's important for folks reading the OP to understand that token cost is not the only thing to consider in all of this.
这只是我的一些快速想法，但我真的认为，阅读 OP（原帖）的人需要明白，token 成本并不是这一切中唯一需要考虑的因素。
更进一步：量化金融体系
看懂新闻只是起点——沿量化金融路径，把它变成能交付的工程能力