App creation config: Integration with 'Autonomous Agents'

In order to expose an application to be consumed by 'Autonomous Agents', a configuration while creating an application can be enabled: Expose application to 'Autonomous Agents'.

Once the application is exposed to 'Autonomous Agents', the following cases can be handled:

1. The user can share a problem statement, and the 'Autonomous Agents' recognises the issue and initiates the application request on behalf of the user.
2. 'Autonomous Agents' can also render the request form with pre-filled dynamic values (basis the query of the user). This route is generally taken for the requests/applications which have complicated request forms.

Once this configuration is enabled, a user has to input a minimum of 5 examples/context which can give an idea about what the particular application does and what can be some of the queries of the user which can be addressed via this application.

Once these configurations are saved, the application is exposed to 'Autonomous Agents'.

There are certain changes which are to be ensured by the workflow designers/admins, once an application is exposed to Autonomous Agents. These sub-configurations are exposed at the form level.

Against a form field, a workflow designer would have to explicitly configure WorkLM related configurations. These configurations are:

1. Expose field to Autonomous Agents: If enabled, a particular form field would be exposed to Autonomous Agents/WorkLM.

   1. When an application is exposed to Autonomous Agents, then all the form configurations are exposed to the same

   2. This is done in order to enable WorkLM/Autonomous Agents to understand what details are required to initiate a request on behalf of the user and fetch that information from the user via chat

      
2. Consider field validation as critical for Autonomous Agents: If this configuration is enabled, then for a field's input the validations are considered. If the validations fail, the Autonomous Agent would again request for correct input from the user.
3. Context note: The context note against a field helps Autonomous Agents understand what a particular field captures as an input. It enables it to understand better and fetch information from the user via chat.