---
title: Release Notes: June 2025
slug: release-notes-june-2025
docTags: 
createdAt: 2025-06-26T10:03:09.359Z
---

**Greetings,**
We’re excited to share the latest platform updates for June 2025! Here’s a quick overview of all the new features and improvements.

### 1. Sending Broadcast Using MM Lite – WhatsApp (Beta)

This release introduces support for **Meta’s Marketing Messages Lite (MM Lite)** API on WhatsApp. Designed for smarter targeting and delivery optimization, it improves the success rate of marketing message delivery using Meta’s internal intelligence signals.

**Built for:** Customers sending WhatsApp marketing broadcasts who want to maximize delivery, engagement, and conversion performance.

**Impact:**

- Improved delivery rates
- Enhanced click/read rate performance (coming soon)
- Exclusive support for Message TTL

**How it works:**

- Customers request onboarding for MM Lite.
- Engati coordinates with **360dialog** to onboard the number.
- MM Lite entitlement is enabled.
- Once onboarded, the "Enable MM Lite" toggle appears during marketing broadcast creation.

**Limitations:**

- Works **only** for marketing templates.
- Not supported for Utility or OTP messages.

[Learn more in the MM Lite help guide](https://help.engati.com/sending-broadcast-using-mm-lite-whatsapp-beta)

### 2. Dynamic WhatsApp Flows – Expanded Support

We’ve enhanced **WhatsApp Flows** with additional dynamic capabilities and broader BSP support.

**What’s New:**

- Support for dynamic flow fields using **all attribute types**: string, number, boolean, array, and object.
- Ability to use **endpoint-based flows** in Facebook Business Manager (FBM) for dynamic form rendering.
- Extended support to **Karix** and **Sinch** BSPs (in addition to 360dialog).

**Built for:** Businesses leveraging structured interactions in WhatsApp to collect user data and personalize flows.

**Impact:** More intelligent, flexible flows across all supported BSPs.

[Read full documentation here](https://help.engati.com/whatsapp-flow#wOOo2)

### 3. Script Node: Transfer the Conversation to GenAI (LLM\_Query Support)

You can now use the **Script Node** to initiate a GenAI response directly, using the new llm\_query type.

**Built for:** Customers using Esense GPT to power FAQ or doc-based automation.

**What’s New:**

- Introduces a new script method: llm\_query
- Can be used to pass user queries directly to GenAI
- Fetches answers based on trained docs, uploaded files, or FAQs

**Impact:** Enables a more seamless handoff to AI inside flows, with no button click or API call required.

[Check script sample and usage](https://help.engati.com/script-node#Hh-Wo)

### 4. External Live Chat: Retain Historical Context

**Problem Solved:** External Live Chat sessions previously lacked context, making agents repeat questions and deliver poor support experiences.

**Built for:** Businesses using tools like LeadSquared (LSQ) with external live chat agents.

**What’s New:**

- Previous conversation history is now passed to the live agent view.
- Agents get better visibility and can provide contextual replies.

**Impact:** More efficient conversations, fewer repeated questions, better support.

### 5. Event Logs for External Live Chats

**Overview:** Event logs are now available for Live Chats triggered externally, improving visibility and audit tracking.

**Built for:** Support and compliance teams monitoring external agent responses.

**What’s Logged:**

- Chat start and resolution events
- Category, timestamp, and platform/channel data

**Impact:** Stronger auditability for external live chats.

### 6. Improved PDF Parsing: Enhanced Support for Images & Tables

We’ve enhanced how PDF documents are processed to ensure that images and table contents are better represented when training eSenseGPT.

**Built for:**
Customers uploading PDFs with structured content — such as help guides, catalogs, reports, or manuals — to power GenAI conversations.

**What’s New:**

- Native support for reading **images and tables** from uploaded PDF documents.
- Automatically includes visual data like charts and formatted tables during training.
- No extra formatting or configuration required.

**Impact:**

- Enables better accuracy during training of your PDF content inside GenAI.

### 📬 Need Assistance? 

We’re here to help! Reach out to us at *support\@engati.ai* or visit *www\.engati.ai* for more information.