Generation of a chatbot interface for an application programming interface

A system for generating a chatbot interface for an application programming interface (API) that interacts with networked applications, comprising:

• a processor and a memory configured to provide computer program instructions to the processor to execute the function of the components;
• an API definition receiving component for receiving as an input a definition document for the API that interacts with cloud-based networked applications;
• a parsing component for parsing the definition document to identify intents and entities and obtain examples of the identified intents and entities;
• a converting component for converting the definition document to a chatbot data structure including:
• an extracting component for extracting the intents and entities and their relationship to objects and fields in the API from the definition document, wherein the objects and fields in the API include (i) API Uniform Resource Locators, (ii) names of the cloud-based networked applications the API interacts with, and (iii) request parameters for user input information;
• a training component for training the chatbot data structure with the example intents and entities to generate a conversation specification in the chatbot data structure, wherein the conversation specification is a conversation tree storing the extracted intents and entities and their relationship to the objects and fields in the API;
• and
• a chatbot interface providing component for generating a chatbot interface for the API.

A computer program product for generating a chatbot interface for an application programming interface (API) that interacts with networked applications, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to cause the processor to:

• receive as an input a definition document for the API that interacts with cloud-based networked applications;
• parse the definition document to identify intents and entities and obtain examples of the identified intents and entities;
• convert the definition document to a chatbot data structure including:
• extract the intents and entities and their relationship to objects and fields in the API from the definition document, wherein the objects and fields in the API include (i) API Uniform Resource Locators, (ii) names of the cloud-based networked applications the API interacts with, and (iii) request parameters for user input information;
• train the chatbot data structure with the example intents and entities to generate a conversation specification in the chatbot data structure, wherein the conversation specification is a conversation tree storing the extracted intents and entities and their relationship to the objects and fields in the API;
• and
• generate a chatbot interface for the API.