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Release 5.0 2026.06.02.1

· 4 min read

New Features 🚀​

New Serenity* Star Engine​

We've rebuilt the foundation that runs your Agents. The new Serenity* Star Engine is faster and more stable, keeps pace with the latest advances in agentic systems, and gives us a stronger base to build on going forward. The rebuilt architecture improves how Agents reason over multiple steps, call skills, and stream responses — and it lets us ship new capabilities to you faster. No action is required — every Agent now runs on the new engine automatically, with no changes to your existing configurations or integrations.

Reasoning visualization — An Agent's reasoning flow can now be visualized, giving you better insight into how each response was produced.

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Improved skill logging — Skill logs now clearly distinguish between parallel and sequential executions, making it easier to follow what your Agent did and when.

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Serenity* Store & Marketplace​

Buy and sell agents across the Serenity* Star ecosystem. Use the Serenity* Marketplace to publish your own agents and earn usage credits on every purchase. Then browse the Serenity* Store to find ready-to-use agents and put them to work with little to no setup.

This functionality is currently in preview. The ability to get agents from the Store is coming soon.

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Bring Your Own Model​

Bring your own LLMs into Serenity* Star. Run models hosted on your own infrastructure for greater governance and to meet your compliance requirements.

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Bring Your Own Model requires an OpenAI-compatible inference endpoint.

Citations​

Agents now support citations. When a response draws on your Knowledge Sources, it can show exactly which source each part of the answer came from — giving you clearer traceability and greater trust in agent output. To learn more, refer to the Knowledge documentation.

Citation results are currently only available via the API. Support for Serenity* AI Chat, Agent Preview, and the Chat Widget is coming soon.

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Enhancements ✨​

Guardrails​

RagMetrics Guardrails now let you select the evaluator model. Tenants can configure their own RagMetrics account and choose the evaluator model that best fits their needs.

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Input Parameters Hook​

The Chat Widget now provides a getInputParameters hook. Pass a custom function to supply updated input parameters with each message sent. Refer to the Chat Widget (JavaScript) documentation for more details.

Knowledge​

  • Knowledge Source metadata can now be generated or updated automatically with the "Generate with AI" button in the metadata section.

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  • The file types allowed in volatile Knowledge can now be configured per agent, so you control which file types users can attach to a conversation.

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Bug Fixes & Minor Improvements 🛠️​

  • Improved performance of aggregate statistics in the Agent Manager and Cost Dashboard.
  • Adjusted parameter validation in the Agent Design Studio when sending a message.
  • Improved positioning of select components that could render off-screen.
  • Improved empty states in the Agent Design Studio so they take up less space.
  • Fixed an error that occurred when changing the Guardrails validation method.
  • Dataset validation now runs on the replace and append API endpoints to return a clear error to the user.
  • Renamed the RagMetrics "Legal Advice" category to "Compliance Awareness".
  • Improved anti-forgery token regeneration in the Agent Designer, preventing an authentication error when the token expired.
  • Improved parameter validation in the Agent Design Studio API
  • Fix a validation error when changing evaluation method in Guardrails configuration
  • Improved schema validation in Dataset API endpoints when doing replace and append
  • Improved connection setting pooling in fallback models