AI Agent AI Actions

ai actions are a way to train enjo ai agents to interact with external applications via restful api calls or using custom code they convert natural language text into data retrieval (e g query an hrms application) or take action in another application (e g reset password in okta) how ai actions work ai agents decide which ai action is relevant to the user’s question ai action typically takes confirmation from the user to execute the action ai action queries the user for any missing information to execute the action ai action executes the action and confirms to the user in natural language setting up an ai action there are 3 types of ai actions api action ,code action and mcp action api actions use an external api directly to execute the action in another application code action uses nodejs code to execute the action in the external application setup api ai action docid 8xkhdwtmmna1hndcrfu0c setup code ai action docid\ f5d6ai29sw sun4biuu 6 setup mcp action docid\ zk7qicko5u5knhmav4mdg adding relevance threshold for the ai action a score measures the confidence level, and teams can customize the threshold to meet their specific requirements key benefits triggers ai actions based on query match percentage ensures actions are only activated when a strong match improves response relevance reduces accidental activations lowers the chance of inappropriate or mistaken ai responses improves ai accuracy in customer support boosts the precision and reliability of ai driven responses, leading to better customer interactions troubleshooting ai actions ai agent is not calling the ai action or calling the wrong ai action make sure the descriptions of the ai actions are clear include as many variations of user questions in “question variations” including difficult/ambiguous versions ai action is not using the parameters correctly add or modify the descriptions of the parameters in the ai action ai action is not working or giving an error use postman or a similar 3rd party service to debug the api