We’re excited to share the latest updates in Build 3154, focusing on usability enhancements to the AI prompt input, expanded feedback visibility, API capabilities for InvGate, and powerful new reporting options.
Let’s explore what’s new:
We’ve increased the height of the prompt input field across AI interfaces.
Why It’s Useful:
This change gives users more visibility and room when entering long or complex prompts, improving usability and reducing input errors.
Azure AI Search in the Sandbox now supports ad-hoc prompt configurations.
Why It’s Useful:
Users can test and iterate faster with custom prompt options without needing backend deployment changes—ideal for quick experimentation and tuning.
Guest messages that generated AI feedback (positive or negative) now appear in summary views.
Why It’s Useful:
This makes it much easier to understand the context of AI feedback and improves transparency for both training and user behavior analysis.
We’ve introduced a new REST API and script method to set custom metadata on InvGate tickets.
New Method:updateInvgateTicketMetaData(ticketId, seekerEmailAddress, fieldId, fieldValue)
Why It’s Useful:
This allows scripts or agents to add contextual metadata dynamically, enhancing ticket classification, automation, and custom workflows.
We’ve introduced a powerful new report and updated several existing ones with added agent-level detail.
New Report:Updated Reports:
Inbound vs Connected by Agent (Bar) – Agent List Name added
Level 1 Escalated Chats (Bar) – Y-axis fix, Picked Chat count, Agent List Name
Level 1 Chats Handled vs Escalated by Agent – Agent List Name added
Level 1 Chats Handled and Resolved Over Time (Bar) – Agent List Name added
Level 1 Chats Handled vs Escalated and Resolved Over Time (Bar) – Agent List Name added
Level 1 Chats Handled vs Escalated Over Time (Bar) – Agent List Name added
Why It’s Useful:
These enhancements offer deeper visibility into agent-level performance and escalation patterns, helping support teams optimize staffing and coaching strategies.