深入了解 OpenAI 的内部数据智能体
January 29, 2026
2026 年 1 月 29 日
By Bonnie Xu, Aravind Suresh, and Emma Tang
作者：Bonnie Xu、Aravind Suresh 和 Emma Tang
Data powers how systems learn, products evolve, and how companies make choices. But getting answers quickly, correctly, and with the right context is often harder than it should be. To make this easier as OpenAI scales, we built our own bespoke in-house AI data agent that explores and reasons over our own platform**.**
数据驱动着系统的学习、产品的演进以及公司的决策。但是，快速、准确地获取答案并具备正确的上下文，往往比应有的难度更大。为了在 OpenAI 规模扩张的过程中让这一切变得更容易，我们构建了我们专属的内部 AI 数据智能体，用于探索和推理我们自己的平台**。**
Our agent is a custom internal-only tool (not an external offering), built specifically around OpenAI’s data, permissions, and workflows. We’re showing how we built and use it to help surface examples of the real, impactful ways AI can support day-to-day work across our teams. The OpenAI tools we used to build and run it (Codex, our GPT‑5 flagship model, the Evals API, and the Embeddings API) are the same tools we make available to developers everywhere.
我们的代理是一个定制的仅限内部使用的工具（非外部产品），专门围绕 OpenAI 的数据、权限和工作流构建。我们展示如何构建和使用它，以帮助展示 AI 能够以真正有影响力的方式支持我们团队日常工作的实际案例。我们用来构建和运行它的 OpenAI 工具（Codex、我们的 GPT-5 旗舰模型、Evals API 和 Embeddings API）与我们向各地开发者提供的工具相同。
Our data agent lets employees go from question to insight in minutes, not days. This lowers the bar to pulling data and nuanced analysis across all functions, not just by our data team. Today, teams across Engineering, Data Science, Go-To-Market, Finance, and Research at OpenAI lean on the agent to answer high-impact data questions. For example, it can help answer how to evaluate launches and understand business health, all through the intuitive format of natural language. The agent combines Codex-powered table-level knowledge with product and organizational context. Its continuously learning memory system means it also improves with every turn.
我们的数据智能体让员工在几分钟内（而不是几天）就能从提出问题到获得洞察。这降低了获取数据和进行细致分析的门槛，适用于所有职能部门，而不仅仅是我们的数据团队。如今，OpenAI 的工程、数据科学、走向市场、财务和研究团队都依赖该智能体来回答高影响力的数据问题。例如，它可以帮助回答如何评估产品发布和了解业务健康状况，所有这些...