Agent Studio - 3.0.0

New features and improvements

Agent Studio for General Availability

Cloudera AI Agent Studio is now generally available. It provides a versatile low‑code to high‑code platform for building, testing, and deploying multi‑agent workflows. For more information, see Agent Studio Overview.

System tools framework and LLM-native Agent planning

Agent Studio now uses a system tools framework enabling agents to use structured, in-process tools that are not user-defined. The Agent now creates a To-do list before running a specific task. For more information, see Task planning in Agent Studio.

Auditing of Agent Studio

Agent Studio now provides built-in auditing at two distinct levels.

For resource management, the platform automatically records all creation, modification, and deletion actions for workflows, agents, tools, and MCP servers. These activities are captured from authenticated sessions and logged with the practitioner username in a structured audit log. Workflow changes are tracked specifically within the Application tab.

For workflow execution, each run is traced comprehensively through Arize Phoenix, the integrated observability backend.

For more information, see Auditing in Agent Studio.

Guardrails in Agent Studio

Guardrails are now implemented on prompt inputs, LLM outputs, and tool or Model Context Protocol (MCP) server outputs to protect confidential data from being sent to the LLM. For more information, see Guardrails in Agent Studio.

Hardened Chainguard Runtimes

This release introduces new Hardened Edition ML Runtimes based on Chainguard images. These runtimes are designed to meet strict security standards and provide enhanced protection for your workloads and are released behind a paywall.

Hardened Runtime workloads do not use the Java version provided by the Hadoop Runtime add‑on. Instead, they rely on the Java 17 installation included in the Runtime image.

Shared responsibility security model for Cloudera AI Agent Studio

The shared responsibility model for security in Cloudera AI Agent Studio details the security controls provided by Cloudera by default and the specific security configurations that administrators must manage to ensure a secure environment Shared responsibility model for security.