Managed AI Platform releases¶
August SaaS feature announcements¶
August 2026
This page provides announcements of newly released features available in DataRobot's SaaS multi-tenant AI Platform, with links to additional resources. From the release center, you can also access past announcements and Self-Managed AI Platform release notes.
Agentic AI¶
Schedule automatic file refreshes in File Registry¶
You can now schedule automatic refreshes for files added to File Registry from Browse data or a URL; files uploaded locally aren't eligible for scheduling. When you create a schedule by setting a start date and cadence, DataRobot will refresh the file automatically going forward. Expand Scheduling to manage existing schedules—pause, edit, or delete a schedule, and check its status at a glance from a status badge.
File Registry also replaces the file detail's + Add files menu with a consolidated Actions menu, where you can convert a file to a folder, link it to a Use Case, download, share, tag, or delete it. Additionally, JSON files previewed from Jira and Confluence sources now render as an expandable tree instead of an escaped string.
For more information, see the File Registry documentation.
Adversarial Swarm Evaluation¶
Adversarial Swarm Evaluation is now available in the Agent Assist skill experience. After you code an agent, you can battle-test the implementation before deploy: a swarm runs attack, behavior, and persistence tracks against the agent, proposes patches for breaches, retests until scenarios pass or the fixing limit is reached, and writes eval_report.md. Choose the battle-test option after coding, or ask in natural language (for example, "Battle-test my agent"). For details, see Adversarial Swarm Evaluation.
Batch agent evaluation in the DataRobot experimentation plugin¶
The DataRobot experimentation plugin (dr xp) now supports batch agent evaluation for projects that include the evaluation component. Each run sends test prompts to the agent's OpenAI-compatible endpoint and scores every response using the NeMo Evaluator BYOB (Bring Your Own Benchmark) framework—no deployment to the platform required.
Enable the workflow with the --enable-evaluation flag (or DR_EXPERIMENT_ENABLE_EVALUATION=true), then select a pipeline, dataset, and agent endpoint from the new Evaluation tab to start a run. Eight benchmarks are available out of the box, covering answer quality, safety refusal, RAG faithfulness, and more; five of them run judge-free.
For more information, see Batch agent evaluation.
Windows support for the Agentic Starter template¶
The DataRobot Agentic Starter application template now supports Windows, in addition to macOS and Linux. Previously, Windows developers had to fall back on a DataRobot codespace, WSL, or a virtual machine to work with the template.
On Windows, complete the Windows prerequisites—enabling Git symlink support and granting permission to create symlinks—before cloning the repository or running dr start. Once configured, the rest of the installation, quickstart, and development workflow matches macOS and Linux, including PowerShell commands for installing the prerequisite tools.
For more information, see Install prerequisite tools.
Data¶
Support for Salesforce connector added¶
This release introduces a Salesforce connector, allowing you to connect to and ingest structured data directly from Salesforce. For information on configuring a Salesforce connection, see the documentation.
JDBC connector now supports Amazon Redshift¶
The JDBC connector now supports query execution to read data from Amazon Redshift, providing low-latency, and therefore faster, previews for supported data stores. You can now also access Redshift in Talk to my Data applications using the data connector integration. This change requires no additional setup.
MLOps and predictions¶
Real-time build logs for execution environments¶
Execution environments now include a Builds logs tab that streams build output in real time, so you can monitor a build's progress or troubleshoot a failed build without waiting for it to finish or refreshing the page. Navigate to Registry > Environments, select an environment, and open the Builds logs tab, or click View log from the Overview tab.
Select an environment version, then choose Logs to watch build output stream live, or Standard output to view the complete build output once a build finishes. For versions built before this release, build output is available only under Standard output.
For more information, see View build logs.
Code-first¶
Python client v3.19¶
Python client v3.19 is now generally available. For a complete list of changes introduced in v3.19, see the Python client changelog.
DataRobot REST API v2.48¶
DataRobot's v2.48 for the REST API is now generally available. For a complete list of changes introduced in v2.48, see the REST API changelog.
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