> For the complete documentation index, see [llms.txt](https://docs.helvia.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.helvia.ai/resources/release-notes/helvia.ai-release-2026.06.17.md).

# Helvia.ai Release 2026.06.17

## 1. Route Conversations by Keyword with Interrupts

You can now set up Interrupts on a modern agent to redirect a conversation the moment a customer types a keyword you care about. An Interrupt pairs a list of keywords with a single target workflow. When an incoming message matches a keyword, the conversation jumps straight to that workflow, before any other LLM process runs.

**Why it matters:** Some requests need to take priority no matter where the customer is in a conversation. Interrupts enable urgent or high-value phrases to always reach the right workflow.

**Example use case:** A customer halfway through a product question types "cancel my subscription". You add an Interrupt with the keywords "cancel", "cancellation", and "unsubscribe" pointing at your retention workflow. The conversation redirects there immediately, and the customer reaches the right place without repeating themselves.

**How it works:** Open the agent in Designer and go to AI Workflows. Create an Interrupt, add your keywords as a chip list, and choose one target workflow. The matching method (Exact, Levenshtein, or Jaro-Winkler) and its sensitivity threshold are set once at the agent level and apply to every Interrupt on that agent. Each workflow can be the target of only one Interrupt.

<img src="/files/Qz8I9I21L7PKvzet1Aym" alt="" width="563">

## 2. Improvements Across the Console

This release also includes a range of smaller refinements that make everyday work smoother across the console. A few highlights:&#x20;

* Knowledge Base content sourced from SharePoint now keeps its access permissions up to date automatically.&#x20;
* You can collect NPS feedback inside Zendesk conversations with a new, on-brand rating card.&#x20;
* The WebChat widget gets a more polished look for its notifications.&#x20;
* Setting up integrations and modern agents is more consistent, with quieter, cleaner configuration screens.


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://docs.helvia.ai/resources/release-notes/helvia.ai-release-2026.06.17.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
