Large language model asset generation

An apparatus for large language model (LLM) agent asset generation, comprising:

• one or more memories storing processor-executable code;
• and
• one or more processors coupled with the one or more memories and individually or collectively operable to execute the code to cause the apparatus to:
• receive a request for generation, by an LLM, of an LLM agent asset for a client;
• provide, based at least in part on the request, a first plurality of inquiries associated with one or more parameters of the LLM agent asset;
• receive a first plurality of responses to the first plurality of inquiries;
• determine, via the LLM and based at least in part on the first plurality of responses, whether a second plurality of inquiries associated with one or more parameters of the LLM agent asset is to be provided to the client;
• provide the second plurality of inquiries to the client, the second plurality of inquiries based at least in part on the first plurality of responses and the determination;
• receive a second plurality of responses in response to the second plurality of inquiries;
• and
• generate the LLM agent asset based at least in part on the request, the first plurality of responses, and the second plurality of responses.

A non-transitory computer-readable medium storing code for large language model (LLM) agent asset generation, the code comprising instructions executable by one or more processors to:

• receive a request for generation, by an LLM, of an LLM agent asset for a client;
• providing, based at least in part on the request, a first plurality of inquiries associated with one or more parameters of the LLM agent asset;
• receive a first plurality of responses to the first plurality of inquiries;
• determine, via the LLM and based at least in part on the first plurality of responses, whether a second plurality of inquiries associated with one or more parameters of the LLM agent asset is to be provided to the client;
• provide the second plurality of inquiries to the client, the second plurality of inquiries based at least in part on the first plurality of responses and the determination;
• receive a second plurality of responses in response to the second plurality of inquiries;
• and
• generate the LLM agent asset based at least in part on the request, the first plurality of responses, and the second plurality of responses.