Agent method for man-post matching based on large model development

The invention discloses a man-post matching Agent method based on large model development, belongs to the technical field of artificial intelligence, and aims to solve the problems that job seekers and enterprises are difficult to find adaptive posts or personnel choices due to information asymmetry and inaccurate matching precision on a recruitment market, and a traditional recruitment platform is low in matching and recommendation efficiency and high in recommendation efficiency. In order to solve the problem that a user is difficult to find a proper post or recruitment is difficult in the prior art, the AI man-post matching system based on large model development comprises a user input analysis module S1, an internal tool calling module S2, a post screening module S3, a post searching and positioning module S4 and a result display and feedback module S5. The problem of information asymmetry in the recruitment market can be effectively solved, the system can intelligently analyze recruitment information pub