The invention discloses an interface adaptive accurate analysis AI intelligent question
system and method, and belongs to the technical field of
artificial intelligence. The method is a comprehensive solution based on user Token dynamic
authentication, a
Webhook-driven API
metadata adaptive mechanism, a large
language model and execution environment cooperative computing. The
system automatically synchronizes and semantically enhances interface description by monitoring a change event of the API management platform, and stores the interface description into a vector
database; when the user asks questions, semantic retrieval and API selection are carried out in combination with the identity Token of the user, and permission
verification is carried out based on the Token; and when the returned data volume is relatively large, the Python sandbox is automatically triggered to execute the statistical code generated by the LLM, so that the accuracy of numerical calculation is ensured. According to the invention, the integrated intelligent number asking capability with controllable authority, accurate result and self-adaptive interface is realized, and the safety, reliability,
maintainability and the like of an enterprise-level
information system can be remarkably improved.