Abstract: A dynamic conversation interface system includes a plurality of instances of a large language model (LLM) engine, each instance being configured according to a respective set of system directives. An agent manager engine instantiates and configures the instances of the LLM engine such that a first LLM engine instance is configured according to a first set of system directives, and a second LLM engine instance is configured according to a second set of system directives that is different from the first set. The first LLM engine instance has a different functional specialization from the second LLM engine instance, and the two instances engage in a same conversation session with a user, using the same language dialect, to perform different specializations within that conversation session.

Abstract: A dynamic conversation interface system includes a plurality of instances of a large language model (LLM) engine, each instance being configured according to a respective set of system directives. An agent manager engine instantiates and configures the instances of the LLM engine such that a first LLM engine instance is configured according to a first set of system directives, and a second LLM engine instance is configured according to a second set of system directives that is different from the first set. The first LLM engine instance has a different functional specialization from the second LLM engine instance, and the two instances engage in a same conversation session with a user to perform different specializations within that conversation session.