OpenAI 的数据智能体只用一个模型和 13 个工具，在 1.5 exabytes 数据和 90,000 张表上运行，设计上刻意保持简单。数据平台工程负责人 Emma Tang 介绍了其架构，以及让单一 LLM 在 90,000 张表上保持可靠的六层上下文。文章还包含 OpenAI 内部使用 Codex 的三个场景，以及五条供团队构建领域智能体参考的实践经验。
多数团队会堆叠路由器、微调与多模型，OpenAI 的数据智能体却只用单模型加 13 个工具跑通 90,000 张表，形成可对比的工程取舍。
How OpenAI Built Its Data Agent
Most teams building data agents stack routers, fine-tunes, and complex retrieval pipelines on top of multiple LLMs. OpenAI didn't.
Their data agent runs on a single model and only 13 tools, across 1.5 exabytes and 90,000 tables. It's "pretty vanilla" by design.
We spoke with Emma Tang, Head of Data Platform Engineering at OpenAI, to better understand the architecture and the engineering decisions behind it.
The article covers:
- The architecture behind the data agent
- The six layers of context that make a single LLM reliable across 90,000 tables
- How OpenAI Uses Codex Internally: 3 Use Cases
- Five practical lessons for any team building a domain agent
- Where OpenAI's data platform is headed next
来源：@alexxubyte · x.com