OpenAI fashions, together with GPT-5.1, at the moment are usually accessible on the Databricks Information Intelligence Platform. This launch is a key a part of our Week of Brokers, showcasing new releases that can assist you construct, govern, and deploy highly effective AI brokers securely at scale.
With GA, OpenAI fashions on Databricks attain full manufacturing readiness. This marks one other step towards Databricks’ mission to make main basis fashions accessible natively inside a single, ruled platform so enterprises can construct high-quality brokers that cause over their information securely and at scale.
Construct with OpenAI, The place Your Information Lives
Now, enterprises can convey OpenAI’s frontier intelligence on to their ruled information, with out transferring information round. This integration permits techniques that not solely generate language but additionally perceive, cause, and act on enterprise information in actual time.
Groups are already utilizing this mixture to:
- Enrich thousands and thousands of assist tickets or product critiques with automated insights
- Generate structured summaries and motion objects from assembly transcripts or contracts
- Construct conversational brokers that reply questions grounded in dwell Delta information
What You Can Do with OpenAI Fashions on Databricks?
Discover Fashions within the AI Playground
The AI Playground affords the quickest path to start out experimenting. Open the Playground tab, select an OpenAI mannequin, and examine GPT-5.1, GPT-5, GPT-mini, and GPT-nano facet by facet. Regulate temperature, max tokens, and different parameters interactively, then export the most effective immediate straight right into a pocket book or SQL cell.
Apply OpenAI Fashions to Your Information
OpenAI fashions can be utilized like a built-in operator in SQL or Python, making it easy to research contracts, PDFs, transcripts, or pictures straight the place your information lives. Once you run these queries, Databricks robotically scales OpenAI mannequin capability within the backend to deal with all the things from a handful of rows to thousands and thousands, guaranteeing quick, dependable outcomes with out additional setup.
Automate Doc Intelligence
OpenAI fashions could be chained into Lakeflow Declarative Pipelines to construct GenAI ETL, ingesting information from techniques like Dynamics 365, making use of AI transformations comparable to summarization or classification, and orchestrating the movement with built-in governance and observability. This sample scales to thousands and thousands of paperwork, creating end-to-end document-intelligence pipelines with lineage, auditability, and high quality monitoring in-built.
Construct Clever Brokers with OpenAI and Agent Bricks
Agent Bricks turns OpenAI fashions into clever brokers by connecting them to enterprise information within the Lakehouse, vectorized information by way of Vector Search, and exterior techniques by way of MCP.
As soon as linked, Agent Bricks automates immediate and mannequin optimization, selecting the right mixture for every use case and constantly bettering efficiency by way of built-in analysis, observability, and governance.
When prepared, brokers could be securely deployed at scale, absolutely ruled by Unity Catalog and monitored by way of AI Gateway.
Govern and Monitor with AI Gateway
All OpenAI site visitors on Databricks is managed by way of AI Gateway, the unified management aircraft for enterprise AI workloads. Each GPT-5.1 request is ruled, logged, and auditable — absolutely built-in with Unity Catalog. Groups achieve visibility into utilization and token spend, can implement price limits, and allow fallbacks to make API calls extra dependable.
