Conversational artificial intelligence system with multi-agent orchestration and parallel supervisory processing

A computer-implemented method for operating a conversational artificial intelligence system that includes a plurality of large language models, the method comprising:

• configuring individual large language models in the plurality to perform different functions;
• routing, by a routing system, a request to a large language model, selected from the plurality of large language models, that is best suited for a task associated with the request;
• coordinating, by a conversation manager, a flow of a conversation between the system and a user using the plurality of large language models;
• auditing, by a supervisory module operating in parallel with the conversation, responses generated during the conversation, and providing feedback that contributes to construction of downstream responses to the user;
• and
• preventing, by one or more safety modules, the system from performing actions that are outside of defined constraints.

A non-transitory computer-readable medium storing instructions that, when executed by one or more processors, cause the one or more processors to:

• route, by a routing system, a request to a large language model, selected from a plurality of large language models configured to perform different functions, that is best suited for a task associated with the request;
• coordinate, by a conversation manager, a flow of a conversation between a conversational artificial intelligence system and a user using the plurality of large language models;
• audit, by a supervisory module operating in parallel with the conversation, responses generated during the conversation, and provide feedback that contributes to construction of downstream responses to the user;
• and
• prevent, by one or more safety modules, the system from performing actions that are outside of defined constraints.