Methods, computer readable media, and devices for dynamic personalized API assembly are provided. One method may include receiving a data query from a client by a CDN, parsing the data query to generate a modified data query, transmitting the modified data query to an origin server, receiving a query response from the origin server, generating a modified query response based on the query response, and sending the modified query response to the client. Another method may include receiving an API call by an origin server, generating an API response by creating a payload file and adding markup directives indicating whether content is cacheable, and transmitting the API response.

A request to establish a bi-directional full-duplex network connection is received. The request conforms to a half-duplex network connection protocol and the half-duplex connection protocol is a HTTP based protocol. The request is processed to determine a decision on whether to allow the bi-directional full-duplex connection. In the event the decision is to allow the bi-directional full-duplex connection, the bi-directional full-duplex network connection is established using the half-duplex network connection protocol. The bi-directional full-duplex connection utilizes a WebSocket communication protocol. Establishing the bi-directional full-duplex connection utilizes a plurality of half duplex connections. A confirmation that the bi-directional full-duplex network connection has been established is provided.

Video sharing is an important part of information exchanging between people in business and in daily personal life. Video sharing between two or more user devices through a server on the Internet usually will consume tremendous network bandwidth. With the supporting of posting and un-posting operations and the dynamic workspace technology introduced in this invention, a server here can centrally coordinate the dynamic secure video sharing between two or more devices while avoiding itself being a bottleneck for the video sharing.

In one example, a server system facilitates an exchange of messages with a remote client application. An Application Program Interface (API) receives a first request message and a second request message, wherein the first request message includes a first data payload defined by a common definition and including a first payload data, the first payload defined by a first schema definition. The second request message includes a second data payload defined by the common definition and a second payload data, wherein the second payload is defined by a second schema definition different than the first schema definition. In response to receiving the first request message, the API transmits a first response message, and in response to receiving the second request message, the API transmits a second response.

Described herein are systems and methods for abstracted analysis system design for a dynamic API scanning service. The disclosure provides a simplified API scanning service by abstracting underlining security scanning techniques and configurations. This presents a normalized view to users of the service. Both input parameters and scan output data is abstracted from users, and is driven based on logic in the service. By providing this simplified view, users can quickly, and without prior security scanning knowledge, use this service to measure their security exposure and mitigate as needed.

Technologies are described for determining between synchronous and asynchronous modes for computing service requests. Computing service requests are received by a computing service from clients. The computing service dynamically determines whether to use synchronous mode or asynchronous mode for processing the computing service requests. The computing service makes the dynamic determination of which mode to use (synchronous or asynchronous) based on various criteria, which can include synchronous/asynchronous mode recommendations generated by machine learning models and/or synchronous/asynchronous mode recommendations generated by static rules.

In one embodiment, a method includes receiving a user request from a client system associated with a user, generating a response to the user request which references one or more entities, generating a personalized recommendation based on the user request and the response, wherein the personalized recommendation references one or more of the entities of the response, and sending instructions for presenting the response and the personalized recommendation to the client system.

A method of generating a user interface for presentation to a user. The method comprises executing a first application computer program to provide a user interface, executing agent computer program code to interrogate and modify said user interface during execution of said first application computer program, and presenting said modified user interface. The first application computer program may be run on a server, while the modified user interface may be presented to a user at a client connected to said server.

A method, computer system, and a computer program product for deploying at a client system a machine learning model is provided. The present invention may include requesting, from a training system, information on a training environment in which a machine learning model was trained. The present invention may include determining a compatibility of a local environment of a client system with the training environment of the training system based on the information on the training environment. The present invention may include determining the local environment of the client system is compatible with the training environment of the training system. The present invention may include downloading the machine learning model.

One disclosed method involves receiving, by a first application managed by an operating system, first data indicating that a second application managed by the operating system is in a first state; receiving, by the first application, second data indicating that a first user input has been provided to a client device; determining, by the first application and based at least in part on the first data and the second data, that the first user input occurred while the second application was in the first state; and causing, by the first application and based at least in part on the first user input having occurred while the second application was in the first state, the client device to present a first user interface for a third application, the first user interface configured to cause the third application to take a first action with respect to a fourth application in response to a second user input to the client device.