In order to solve the problem of poor robustness of traditional task allocation algorithms for specific heterogeneous robots, a general prompt learning template based on large language model is designed. And fil that names of the object in the environment observation into the general template to obtain a final prompt learning template. Four distributed data sets are designed and tested, and physical experiments are carried out on heterogeneous robots. Experimental results show that the method can assign tasks accurately.