feat: 对接 Spark 大模型

composables/useLLM.ts

@@ -0,0 +1,31 @@
+import {type ChatMessage, llmModels, type LLMSpark, type MessageRole, type ModelTag} from "~/typings/llm";
+import {useFetchWrapped} from "~/composables/useFetchWrapped";
+
+export interface LLMRequestOptions {
+  modelTag: ModelTag
+}
+
+export const useLLM = (context: ChatMessage[], options: LLMRequestOptions): Promise<string> => new Promise((resolve, reject) => {
+  const {modelTag} = options
+  const model = llmModels.find(model => model.tag === modelTag)
+  if (!model) return reject('model specified is not available')
+  const loginState = useLoginState()
+  useFetchWrapped<LLMSpark.request | AuthedRequest, BaseResponse<LLMSpark.response>>(
+    model.endpoint,
+    {
+      token: loginState.token || '',
+      user_id: loginState.user.id,
+      prompt: JSON.stringify(context.filter(c => c.content && !c.interrupted).map(c => ({
+        role: c.role,
+        content: c.content
+      })))
+    }
+  ).then(res => {
+    if (res.ret !== 200) return reject(res.msg || 'unknown error')
+    if (res.data.request_msg) return resolve(res.data.request_msg)
+    if (res.data.request_fail) return reject(res.data.request_fail?.header?.message || 'unknown error')
+    return reject('unknown error')
+  }).catch(err => {
+    reject(err)
+  })
+})