Release Notes: June 2025

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 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 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 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 com or visit www engati com for more information