Coordinating a conversational agent with a large language model for conversation repair

A computer program product comprising:

• one or more computer readable storage medium and program instructions stored on at least one of the one or more computer readable storage medium, the program instructions executable by a processor capable of performing a method, the method comprising:
• receiving a failure indicator from a first conversational agent (CA), wherein the failure indicator describes a failed conversation between the first conversational agent and a user, and wherein the first CA is a chatbot that communicates with the user on a topic for which the first CA is specifically trained;
• retrieving a descriptive prompt associated with the first conversational agent and a transcript of the failed conversation;
• transmitting the descriptive prompt and the transcript to a large language model;
• transferring control of the failed conversation from the first conversational agent to the large language model;
• determining an intent of the user associated with the failed conversation using the large language model, wherein the large language model processes the descriptive prompt and the transcript, and also engages the user in conversation, to determine the intent of the user;
• determining whether the intent of the user associated with the failed conversation matches a capability of the first conversational agent described in the descriptive prompt;
• and
• responsive to determining the intent of the user associated with the failed conversation matches the capability of the first conversational agent, confirming, via the large language model, with the user that the first conversational agent is correct for the intent of the user and transferring the user back to the first conversational agent.

A computer system comprising:

• one or more processors, one or more computer readable memories, one or more computer readable storage medium, and program instructions stored on at least one of the one or more computer readable storage medium for execution by at least one of the one or more processors via at least one of the one or more memories, wherein the computer system is capable of performing a method comprising;
• receiving a failure indicator from a first conversational agent (CA), wherein the failure indicator describes a failed conversation between the first conversational agent and a user, and wherein the first CA is a chatbot that communicates with the user on a topic for which the first CA is specifically trained;
• retrieving a descriptive prompt associated with the first conversational agent and a transcript of the failed conversation;
• transmitting the descriptive prompt and the transcript to a large language model;
• transferring control of the failed conversation from the first conversational agent to the large language model;
• determining an intent of the user associated with the failed conversation using the large language model, wherein the large language model processes the descriptive prompt and the transcript, and also engages the user in conversation, to determine the intent of the user;
• determining whether the intent of the user associated with the failed conversation matches a capability of the first conversational agent described in the descriptive prompt;
• and
• responsive to determining the intent of the user associated with the failed conversation matches the capability of the first conversational agent, confirming, via the large language model, with the user that the first conversational agent is correct for the intent of the user and transferring the user back to the first conversational agent.