feat(group-agent): 修改自然语言理解模型为自有模型

.vscode/settings.json

@@ -19,6 +19,7 @@
     "langchain",
     "langfuse",
     "metas",
+    "MIAI",
     "michat",
     "mina",
     "mindnote",

routes/bot/groupAgent/chatHistory.ts

@@ -1,6 +1,5 @@
 import { parseJsonString } from "@egg/hooks"
 import { LarkEvent } from "@egg/lark-msg-tool"
-import logger from "@egg/logger"
 
 import { Context, LarkServer } from "../../../types"
 
@@ -43,7 +42,7 @@ const extractTextFromJson = (data: any): string => {
  * @returns 聊天消息数组
  */
 const getChatHistory = async (
-  { larkService }: Context.Data,
+  { larkService, logger }: Context.Data,
   {
     chatId,
     timeScope,

test/parseGroupAgentQuery.ts

@@ -18,6 +18,6 @@ const functionInfo = JSON.stringify([
   },
 ])
 
-const userInput = "方糖说了什么"
+const userInput = "你好"
 
 llm.parseGroupAgentQuery(userInput, groupInfo, functionInfo).then(console.log)

utils/llm.ts

@@ -81,7 +81,8 @@ const parseGroupAgentQuery = async (
   groupInfo: string,
   functionInfo: string
 ) => {
-  const model = await getModel("gpt-4o")
+  const { langfuseHandler } = await getLangfuse()
+  const model = await getModel("qwen-72b-instruct-int4/v1")
   const structuredLlm = model.withStructuredOutput(groupAgentConfig, {
     name: "groupAgent",
   })
@@ -91,13 +92,28 @@ const parseGroupAgentQuery = async (
     所有可用群组信息：${groupInfo}
     所有支持功能信息：${functionInfo}
     你是一个专业的语义解析工程师，给定以下用户输入，帮我解析出群聊ID、群聊名称、功能ID、功能名称、开始时间和结束时间。
+    默认功能为总结消息，时间如果用户没有输入则留空
+    返回格式定义为：
+    \`\`\`
+    {
+      "chatId": "oc_ef98c2a9229657f99d4ef573a30fe91c",
+      "chatName": "MIAI-FE 人工智能部-前端组",
+      "functionId": "summary-qwen-72b-instruct-int4",
+      "functionName": "总结消息",
+      "startTime": "2022-01-01 00:00:00",
+      "endTime": "2022-01-01 23:59:59"
+    }
+    \`\`\`
     如果不包含对应内容，请返回空值。
 
     用户输入：
     \`\`\`
     ${userInput.replaceAll("`", " ")}
     \`\`\`
-  `
+  `,
+    {
+      callbacks: [langfuseHandler],
+    }
   )
 }