# Databricks将GPT-5.5引入企业智能体工作流 - 来源：OpenAI：官网动态（RSS · 排除企业/客户案例） - 发布时间：2026-05-15 08:00 - AIHOT 分数：48 - AIHOT 链接：https://aihot.virxact.com/items/cmp7m1ggz0bf0slnzewan1t1n - 原文链接：https://openai.com/index/databricks ## AI 摘要 Databricks宣布在企业智能体工作流中集成GPT-5.5模型。这一决策基于该模型在OfficeQA Pro专业基准测试中取得的突破性性能表现，创造了新的行业标杆。GPT-5.5的引入将提升企业自动化流程的准确性与效率。 ## 正文 Databricks brings GPT-5.5 to enterprise agent workflows | OpenAI Databricks brings GPT-5.5 to enterprise agent workflows | OpenAI May 15, 2026 Databricks brings GPT‑5.5 to enterprise agent workflows GPT‑5.5 set a new state of the art on OfficeQA Pro, Databricks’ benchmark for complex enterprise agent tasks. Contact sales Company size: Enterprise Region: North America Industry: Technology Products: Codex 50% Accuracy on the OfficeQA Pro benchmark (state of the art) 46% Reduction in errors on the OfficeQA Pro benchmark vs. GPT-5.4 Listen to article Audio 1 Databricks is making GPT‑5.5 available for customer agent workflows after the model established a new state of the art on OfficeQA Pro, the company’s benchmark for complex enterprise document tasks. OfficeQA Pro evaluates how models handle parsing, retrieval, and grounded reasoning across workflows involving scanned PDFs, legacy files, and long-context documents, tasks that frequently break production agent systems. In the agent-harness setting, GPT‑5.5 reduced errors by 46% compared to GPT‑5.4 and became the first model to surpass 50% accuracy on OfficeQA Pro. “Codex with 5.5 is now state-of-the-art amongst all the agents and models out there.” –Arnav Singhvi, Research Engineer Video 1 00:00 SOTA performance on OfficeQA Pro OfficeQA Pro includes large numbers of scanned or legacy enterprise documents, where small extraction errors during parsing can cascade downstream through the rest of the workflow. “Once you can’t extract a certain digit or number, that changes the entire trajectory of what the agent works with,” Singhvi explains. Databricks saw the largest gains from GPT‑5.5 in these parsing-heavy workflows. “Earlier models like 5.4 were unable to parse all the digits correctly, but it seems like 5.5 has a step-function lift in parsing older documents and scanned PDFs,” Singhvi says. The team also saw improvements in orchestration across multi-step tasks. “One thing that we saw with 5.4 is sometimes it would go on these unnecessary search detours, and that would cause very inefficient trajectories,” Singhvi says. Compared to earlier models, GPT‑5.5 was more reliable at retrieving relevant context and completing complex workflows without additional supervision. Bringing GPT‑5.5 into production workflows Databricks now makes GPT‑5.5 available through AI Unity Gateway, where customers use the model inside workflows built with AgentBricks and the Agent Supervisor API. In these systems, GPT‑5.5 orchestrates parsing, retrieval, and execution across specialized agents. “We’re going to see a lot of customers using AgentBricks and Agent Supervisor API for custom agent workflows,” Singhvi says. “Having GPT‑5.5 supervise these workflows is really exciting.” “GPT-5.5 has been great in terms of knowledge lift. It's a step size function change in terms of doing knowledge work for us.” —Arnav Singhvi, Research Engineer Join the new era of work More than 1 million businesses around the world are achieving meaningful results with OpenAI. Contact sales Keep reading New OpenAI Academy courses for the next era of work AI Adoption Jun 12, 2026 How Preply combines AI and human tutors to personalize learning Jun 12, 2026 Supporting Europe’s work in ensuring a trustworthy AI ecosystem Global Affairs Jun 11, 2026