1/21/2024 0 Comments Session chatIt contains the Session ID related to the current active chat session. It is cleared whenever the WebChat Widget is maximized by the user to read the new messages. Keeps track of the number of unread messages related to an Async Chat, when WebChat is minimized. It is automatically cleared whenever the WebChat Widget is maximized or closed/ended. _.lastMessageCountReadĬontains the number of messages that are read during an active chat session that calculates the number of unread messages when WebChat is minimized. Tracks the number of unread messages during an active chat session, when WebChat is minimized. It is dynamically updated based on the user's response to the initial WebChat invite. _.disabledĬontains a value that disables or enables the WebChat autoInvite feature. It is used to restore the active chat session during scenarios like page refresh or page navigation.Ĭontains the WebChat Widget minimized or maximized state for internal tracking purposes. The following is a list of cookies used by Genesys Widgets.Ĭontains the WebChat Widget open or close state for internal tracking purposes.Ĭan contain encrypted keys related to the current active chat session.Ĭontains the time at which the last successful request was made to the server.Ĭontains all the Metadata details related to the current active chat session.Ĭontains the last unique Message ID for internal tracking purposes.Ĭontains any prefilters that were added using WebChatService plugin commands addPrefilter or sendFilteredMessage.Ĭontains the unique Session ID related to the current active chat session. This way, the cookies will also work when using test environment domain names such as "localhost" or an IP address. One workaround is to update your system's hosts file to create an FQDN alias for "localhost", your test environment's name, or an IP address.Ī fully-qualified domain name (FQDN) such as "" or any other variant that can be identified as a domain name is not mandatory, but it is recommended. Cookies will also fail to work if you run the test site as an HTML file path directly in the browser. You must use a fully-qualified domain name (FQDN) such as "" or any other variant that can be identified as a domain name. The side effect of using this type of cookie is they won't work when using test environment domain names such as "localhost" or an IP address. This is a critical feature for plugins like WebChat that need to restore an active chat session while navigating around a website. Genesys Widgets uses special cookies that persist across sub-domains. For example, you could start a chat on and restore that chat session on, , or. Genesys Widgets automatically detects the domain of the host site and configures all cookies to be transferable between sub-domains. Normally, cookies cannot be transferred between sub-domains of a website unless they are configured to do so. DurationĪll cookies used by Genesys Widgets are created as session cookies and will be deleted when the user's browser is fully closed. We release the Multi-Session Chat and Summarization tasks at parlai/tasks/msc.ImportantGenesys Widgets never stores Personally Identifiable Information (PII) in its cookies. (Human-human conversation from the dataset) In particular, we find retrieval-augmented methods and methods with an ability to summarize and recall previous conversations outperform the standard encoder-decoder architectures currently considered state of the art. We show how existing models trained on existing datasets perform poorly in this long-term conversation setting in both automatic and human evaluations, and we study long-context models that can perform much better. In this work we collect and release a human-human dataset consisting of multiple chat sessions whereby the speaking partners learn about each other's interests and discuss the things they have learnt from past sessions. In contrast, the long-term conversation setting has hardly been studied. Jing Xu, Arthur Szlam, Jason Weston Abstractĭespite recent improvements in open-domain dialogue models, state of the art models are trained and evaluated on short conversations with little context. Beyond Goldfish Memory: Long-Term Open-Domain Conversation
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