A method of controlling at least a first non-player object within a virtual environment of an application includes: selecting a template non-player object behavioural AI model, the AI model being previously trained separately to the application using reinforcement learning to characterise behaviour of a respective non-player object type, from among a plurality of template AI models, associating one or more non-player objects of the application with the selected template AI model, and for the or each associated non-player object, inputting application state information to an input interface of the template AI model for receiving state information relevant to the associated non-player object's type, and receiving from an output interface of the template AI model non-player object state information, and then updating the state of the respective non-player object for the virtual environment of the application responsive to the received non-player object state information.

A processor may receive a composable deployer comma-separated values (CSV) file. The processor may parse the composable deployer CSV file. The processor may determine if there is a composable deployer foundation template. The processor may install a resource. The resource to install may be associated with the composable deployer foundation template.

Systems and methods for providing metric data for patterns in a modeling environment are disclosed. In some aspects, contexts for generating metric data for a pattern are constructed. The pattern represents one or more computations executable in the modeling environment and associated with operation or behavior of a real-world system. The contexts include information about the pattern. The metric data is associated with one or more objectives with which the use of the pattern is associated. Code for the pattern for each context is generated. Metric data is generated for the pattern and under each context. The metric data of the pattern under each context is associated with the objectives. The metric data and the association are stored for use in providing information about or based on the metric data when the pattern is to be or is used in a model representing the real-world system.

Systems and methods for providing metric data for patterns in a modeling environment are disclosed. In some aspects, contexts for generating metric data for a pattern are constructed. The pattern represents one or more computations executable in the modeling environment and associated with operation or behavior of a real-world system. The contexts include information about the pattern. The metric data is associated with one or more objectives with which the use of the pattern is associated. Code for the pattern for each context is generated. Metric data is generated for the pattern and under each context. The metric data of the pattern under each context is associated with the objectives. The metric data and the association are stored for use in providing information about or based on the metric data when the pattern is to be or is used in a model representing the real-world system.

A system can receive information about a first orchestration service that indicates a mapping from an application programming interface (API) to an executable script, and a dependency of the first orchestration service on a second orchestration service. The system can, in response to receiving the information, creating a base container image for the first orchestration service. The system can associate the API with executing the executable script on the base container image. The system can associate the dependency of the first orchestration service on the second orchestration service with the base container image. The system can, in response to receiving data indicative of a request to create an instance of the first orchestration service, creating an instance of the base container image.

A system can receive information about a first orchestration service that indicates a mapping from an application programming interface (API) to an executable script, and a dependency of the first orchestration service on a second orchestration service. The system can, in response to receiving the information, creating a base container image for the first orchestration service. The system can associate the API with executing the executable script on the base container image. The system can associate the dependency of the first orchestration service on the second orchestration service with the base container image. The system can, in response to receiving data indicative of a request to create an instance of the first orchestration service, creating an instance of the base container image.

Methods, apparatus, systems, and articles of manufacture are disclosed to facilitate content generation for cloud computing platforms. An example apparatus includes model definition circuitry to generate model definitions representative of one or more undefined target system objects in a target system, and generate instructions that cause a developer environment to provide the model definitions during a generation of content files, generation order circuitry to generate a processing order of the content files, the content files having one or more defined model objects, and object processing circuitry to convert the one or more defined model objects to defined target system objects for deployment and execution at the target system.

Techniques for an application programming interface (API) notebook tool are disclosed. In some implementations, an API notebook is a tool, framework, and ecosystem that enables easy exploration of services that expose APIs, creation and documentation of examples, use cases and workflows, and publishing and collaboration of APIs. In some embodiments, systems, processes, and computer program products for an API notebook tool include receiving a request for a client for calling an API for a service, and dynamically generating the client for the API for the service.

Techniques for an application programming interface (API) notebook tool are disclosed. In some implementations, an API notebook is a tool, framework, and ecosystem that enables easy exploration of services that expose APIs, creation and documentation of examples, use cases and workflows, and publishing and collaboration of APIs. In some embodiments, systems, processes, and computer program products for an API notebook tool include receiving a request for a client for calling an API for a service, and dynamically generating the client for the API for the service.

Disclosed herein are system, method, and computer program product embodiments for automatically generating unique icons for applications on an application exchange platform based on application property representations. An automatic icon generation tool receives a selection of an application on the application exchange platform. The application includes one or more properties. A property representation is determined for the application based on the one or more properties of the application. A unique icon is generated for the application based on the property representation. The unique icon includes one or more characteristics and a characteristic of the one or more characteristics of the unique icon corresponds to a part of the property representation. The unique icon is displayed for the application on the application exchange platform.