Abstract: Technology is disclosed herein for personalized writing assistance via an LLM integration in a software application. In an implementation, a computing device identifies user-specific preferences for content creation. The computing device submits a prompt to an LLM that includes selected content associated with a user and the user-specific preferences, along with a request for the LLM to suggest an intent to modify the selected content in view of the user-specific preferences. The computing device receives a reply from the LLM including the intent to modify the selected content. When the user accepts the suggestion, the computing device generates and submits a second prompt to the LLM including a request for the LLM to modify the selected content according to the intent. The computing device receives a reply from the LLM including a modified version of the selected content and displays the modified version of the selected content.

Abstract: A method for parameter value resolution, includes extracting, from an application programming interface (API) repository, metadata information associated with an API parameter set of at least one API and generating parameter clusters associated with the API parameter set based on the extracted metadata information. Each parameter cluster may include word tokens associated with at least one API parameter of the API parameters set. The method furthers includes determining a representative term for each parameter cluster and based on the determined representative term, extracting sample parameter values from a knowledge base server. The method further includes generating test API endpoints associated with the at least one API based on the extracted sample parameter values, validating the extracted sample parameter values by executing the generated test API endpoints, and publishing, based on the validation, validation result as an indicator for suitability of the at least one API for a software application.

Abstract: A method for parameter value resolution, includes extracting, from an application programming interface (API) repository, metadata information associated with an API parameter set of at least one API and generating parameter clusters associated with the API parameter set based on the extracted metadata information. Each parameter cluster may include word tokens associated with at least one API parameter of the API parameters set. The method furthers includes determining a representative term for each parameter cluster and based on the determined representative term, extracting sample parameter values from a knowledge base server. The method further includes generating test API endpoints associated with the at least one API based on the extracted sample parameter values, validating the extracted sample parameter values by executing the generated test API endpoints, and publishing, based on the validation, validation result as an indicator for suitability of the at least one API for a software application.