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y={temperature:"值越大，回复内容越赋有多样性创造性、随机性；设为0根据事实回答，希望得到精准答案应该降低该参数；日常聊天建议0.5-0.8。",topP:"值越小，Ai生成的内容越单调也越容易理解；值越大，Ai回复的词汇围越大，越多样化。",presencePenalty:"值越大，越能够让Ai更好地控制新话题的引入，建议微调或不变。",frequencyPenalty:"值越大，越能够让Ai更好地避免重复之前说过的话，建议微调或不变。",maxTokens:"设置Ai最大回复内容大小，会影响返回结果的长度。普通聊天建议500-800；短文生成建议800-2000；代码生成建议2000-3600；长文生成建议4000左右（或选择长回复模型)"},I=Z([]);function K(){ne.get({url:"/sys/dict/getDictItems/airag_model%20where%20model_type%20=%20'LLM',name,id"}).then(l=>{I.value=l,I.value.unshift({label:"请选择模型",value:""})})}K();function G(i,l){const c=U(s.model);c.modeId=i,c.params.model=i?l.label:"",C(c)}function C(i){H("update:model",i)}function g(i,l,c){const u=Q(i),p=L({get:()=>u.value!=null,set:h=>u.value=h?c:null});return[u,p,L(()=>pe(B({},l),{value:u.value,size:"small",disabled:!p.value,"onUpdate:value":h=>u.value=h}))]}function Q(i){return L({get:()=>s.model.params[i],set:l=>{const c=U(s.model);c.params[i]=l,C(c)}})}return(i,l)=>{const 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