Abstract: This disclosure proposes systems and methods employing dynamic skill endpoints by allowing skills to register themselves with a language processing system. The language processing system allows the skill system to open a persistent network connection to the language processing system. This connection does not require the machine(s) running the skill system to have an Internet routable address; rather the skill system can contact the language processing system, which can remain at a static address, through any local routers or firewalls which may block connections from being initiated from outside the local area network. This registration opens the connection between the skill system and the language processing system. When the language processing system receives a skill invocation request indicating the skill, the language processing system can check its registry for a dynamic endpoint corresponding to the skill, and route the request over the network connection to the registered endpoint.

Abstract: This disclosure describes methods, apparatuses, and systems for providing visualizations of workflows. Data associated with successes and failures of individual components of workflows can be collected and aggregated to provide an overview of the operation of workflows, as well as allowing a software developer to troubleshoot operations of the workflow. Status indications of steps can be visualized in a graphical user interface (GUI), for example, and faults can be identified and presented in the GUI. By aggregating workflow data across hundreds, thousands, or even millions of workflows, a user can quickly determine the overall operations of the workflow, as well as areas of the workflow that may need improvement.

Abstract: This disclosure describes methods, apparatuses, and systems for providing visualizations of workflows. Data associated with successes and failures of individual components of workflows can be collected and aggregated to provide an overview of the operation of workflows, as well as allowing a software developer to troubleshoot operations of the workflow. Status indications of steps can be visualized in a graphical user interface (GUI), for example, and faults can be identified and presented in the GUI. By aggregating workflow data across hundreds, thousands, or even millions of workflows, a user can quickly determine the overall operations of the workflow, as well as areas of the workflow that may need improvement.