Automated assistant training and/or execution of inter-user procedures

A system comprising:

• one or more storage devices storing instructions;
• and
• one or more processors that are operable to execute the instruction to cause the one or more processors to:
• identify natural language user input that is based on input of a user at an interface of a computing device;
• identify a correlation between the natural language user input and a procedure, based on a prior instance of the procedure being performed;
• identify parameters for performing the procedure, wherein the parameters incorporate data derived from one or more sources of information;
• determine, based on the parameters, one or more applications separate from the automated assistant that are capable of performing the procedure;
• generate, based the one or more applications capable of performing the procedure and based on the parameters, an application programming interface (API) request for the one or more applications;
• transmit the API request to the one or more applications;
• receive, from the one or more applications in response to receiving the API request, application data characterizing one or more features of content by the one or more applications based on the parameters;
• process the application data using a trained machine learning model;
• and
• cause natural language content, that is based on processing the application data using the machine learning model, to be rendered responsive to the natural language user input.

A non-transitory computer-readable medium storing software comprising instructions executable by one or more computers which, upon such execution, cause the one or more computers to perform operations comprising:

• receive, by an automated assistant, an inquiry;
• identify a correlation between the inquiry and a procedure, based on a prior instance of the procedure being performed;
• identify parameters for performing the procedure, wherein the parameters incorporate data derived from one or more sources of information;
• determine, based on the parameters, one or more applications separate from the automated assistant that are capable of performing the procedure;
• generate, at the automated assistant and based the one or more applications capable of performing the procedure and based on the parameters, an application programming interface (API) request for the one or more applications;
• transmit the API request from the automated assistant to the one or more applications;
• receive, from the one or more applications in response to receiving the API request, application data characterizing one or more features of content by the one or more applications based on the parameters;
• process the application data using a trained machine learning model;
• and
• cause natural language content, that is based on processing the application data using the machine learning model, to be provided responsive to the inquiry.