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Integrator Workspace News (02/2026)

February 2026February 2026 | Februar 2026 | Integrator Workspace

February 19, 2026

Chat trigger

Our new chat trigger enables you to set up conversational AI flows. The chat trigger allows you to start a flow through a global access chat URL. Users can send messages to the flow and receive responses directly in the chat interface.

Key features:

  • ⦁ You can define a unique “URL path”. The system uses it to generate the full “Chat URL”.
  • ⦁ You can protect the chat with basic authentication by setting a “Username” and “Password”.
  • ⦁ You can configure a “Welcome message” that appears when users open the chat.
  • ⦁ Each message sent by the user includes the full conversation history of that chat session, so your flow always has the full context. Users end the session by closing the tab.
  • ⦁ The “Return chat response” step is added to flows with chat triggers automatically and cannot be removed. It returns the message to the user.
  • ⦁ You can deploy flows with chat triggers only on the “Shared runtime”.

The chat trigger gives you a simple way to offer conversational access to your flows. You can guide users through processes without building a graphical interface. The preserved conversation history stored within the session helps you create consistent and context‑aware interactions.

You can find more information in our Integrator Workspace Help.

Projects > [project name] > Create flow > Chat trigger


Assets: Connector grouping

Connector grouping is now available in the “Assets” menu item, allowing you to group related connectors under one shared collection, for example, by brand, ecosystem, or solution family. This new feature helps you structure and manage your connectors more effectively as it improves clarity, supports better organization, and provides more flexibility when working with connectors.

Key features:

1. Flexible group assignment

The connector upload and edit dialogs now include a new “Grouping options” component that gives you full control over connector grouping:

  • ⦁ No group: Keep the connector ungrouped or remove a previous assignment.
  • ⦁ Existing group: Select a connector group from an existing list of connector groups.
  • ⦁ New group: Create a new connector group and directly assign the connector to it.

2. Improved structure in the connector overview

Connectors that belong to a connector group are now displayed together in a connector group card in the “Connectors” tab, reducing visual clutter and helping users to quickly recognize which connectors belong to the same brand, solution family, or ecosystem.

Ungrouped connectors continue to appear individually.

3. Group detail view

Clicking on a connector group card in the “Connectors” tab now opens a detailed view of that connector group. The detail view lists all connectors assigned to the selected connector group, making it easier to understand the composition of a connector group at a glance.

4. Management of connector groups

Connector group details can be edited directly from the “Connectors” tab, using the same interaction pattern you are already familiar with from editing stand-alone connectors. You can edit the connector group name, the short description, and the connector group icon.

To prevent accidental data loss, connector groups can only be deleted if they contain no connectors. If a connector group still contains connectors, the deletion is blocked and a message explains why the action cannot be completed.

Benefits:

  • ⦁ More structured, consistent overview in “Connectors” tab
  • ⦁ Easier navigation through grouped connectors
  • ⦁ Clear visibility of which connectors belong together
  • ⦁ Simple management of group assignments during upload and editing
  • ⦁ Reduced maintenance effort for large connector collections

You can find more information in our Integrator Workspace Help.

Assets > Connectors


February 12, 2026

Large payload handling

Large payload handling is now available for supported connectors. This feature enables the processing of payloads that exceed standard JSON limits.

When the “Large payload processing” checkbox is selected, large payloads are no longer embedded directly in JSON and cannot be inspected or edited within the flow. Instead, they are automatically provided as attachments and can be downloaded from the “Attachments” section if needed. Subsequent connectors automatically detect and use the attachment as their payload.

This feature is available only for compatible connectors.

You can find more information in our Integrator Workspace Help.

Projects > [project name] > [flow name]

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