The invention discloses an
information system existing interface-based AI large
language model interaction method, which comprises the following steps of: constructing an interface operation
feature set according to an
information system operation log; identifying a service intention category and a function
granularity level corresponding to the interface, and generating an interface function
granularity identification table; constructing an
action rule chain according to the interface service intention category and the function
granularity level; performing field consistency calibration in combination with a field
time sequence identifier, a stage identifier and a trigger point identifier to form standardized intermediate
JSON data; according to the standardized intermediate
JSON data, generating cue words including field operation instructions, business semantic instructions and
time sequence background instructions; model request sending, model output result analysis and consistency
verification are carried out through an existing API interface, and
system state updating information is recorded. According to the method, the
system transformation cost is reduced, the accuracy of interface semantic expression is improved, and an enforceable and extensible technical path is provided for intelligent upgrading of a traditional
information system.