Suhail(@Suhail)
If you do > 1B tokens a day in batched api requests with OpenAI or Anthropic, would love to talk ...
6.0内容质量

TL;DR · AI 摘要
推文作者寻求处理每日超10亿token批量API请求的经验交流,但内容缺乏技术细节和实用方案。
核心要点
- 处理10亿级token批处理需关注API稳定性问题
- Twitter讨论未提供具体技术实现方案
- 需建立故障安全机制应对大规模请求
结构提纲
按章节快速跳转。
思维导图
用一张图看清主题之间的关系。
查看大纲文本(无障碍 / 无 JS 友好)
- 大规模API批处理挑战
- 技术实现
- OpenAI/Anthropic API使用
- 讨论要点
- 处理规模挑战
- 故障安全机制
金句 / Highlights
值得收藏与分享的关键句。
that's a lot of tokens
just make sure you have fail-safe's in place
would love to talk to you to learn about ups/downs of implementing batching
#API#批处理#OpenAI#大规模数据
打开原文[](https://x.com/)
Suhail on X: "If you do > 1B tokens a day in batched api requests with OpenAI or Anthropic, would love to talk to you to learn about ups/downs of implementing batching. DM"
-  Suhail @Suhail
If you do > 1B tokens a day in batched api requests with OpenAI or Anthropic, would love to talk to you to learn about ups/downs of implementing batching. DM
-  serx · fireply.ai @serxzsz
9h that's a lot of tokens
-  Dev Shah
 @0xDevShah 8h @Parvashah_
-  Brad Larson @followbl
5h just make sure you have fail-safe's in place, other than that, it's pretty straight forward