Abstract: Mapping a message sent between computing applications to a computing environment associated with one of the computing applications. The computing environment can be a test environment used for developing the computing application. Identification of the computing environment and other data from the message can be extracted from a header of the message and logged. The logged data can be stored in a storage and displayed via a user interface.

Abstract: Mapping a message sent between computing applications to a computing environment associated with one of the computing applications. The computing environment can be a test environment used for developing the computing application. Identification of the computing environment and other data from the message can be extracted from a header of the message and logged. The logged data can be stored in a storage and displayed via a user interface.

Abstract: Techniques are described for automatically configuring a target environment for a particular application or application service at an API gateway. According to the techniques, a computing device generates data representative of a user interface for display and receives a selection of a target environment for a target application from the user interface. The computing device then generates an endpoint string for service calls for the target application that indicates a route to an instance of the target application executing in the target environment. The computing devices sends a message including the endpoint string to an API gateway, wherein the message instructs the API gateway to modify an environment mapping for the target application in accordance with the endpoint string such that the environment mapping causes the API gateway to send the service calls for the target application to the instance of the target application executing in the target environment.

Abstract: The invention relates to computer-implemented systems and methods that implement an innovative generative AI service based on proprietary expertise and industry knowledge. The generative AI service provides unique autonomous features, such as combining separate and distinct LLM responses and prompts to create unique results. Other autonomous features may include an ability to handle scaling and auto deployment of models and rerouting requests autonomously to ensure user load is balanced across the entire globally distributed Generative AI infrastructure estate. The generative AI service may further deploy new Production instances of models on demand by predefined system criteria as well as by explicit user request based on projected demand increase and/or the need for specific instance for further model fine-tuning.

Abstract: Mapping a message sent between computing applications to a computing environment associated with one of the computing applications. The computing environment can be a test environment used for developing the computing application. Identification of the computing environment and other data from the message can be extracted from a header of the message and logged. The logged data can be stored in a storage and displayed via a user interface.