perf: bill

client/src/pages/api/openapi/modules/agent/recognizeIntention.ts

@@ -0,0 +1,130 @@
+// Next.js API route support: https://nextjs.org/docs/api-routes/introduction
+import type { NextApiRequest, NextApiResponse } from 'next';
+import { jsonRes } from '@/service/response';
+import { adaptChatItem_openAI } from '@/utils/plugin/openai';
+import { ChatContextFilter } from '@/service/utils/chat/index';
+import type { ChatItemType } from '@/types/chat';
+import { ChatRoleEnum } from '@/constants/chat';
+import { getOpenAIApi, axiosConfig } from '@/service/ai/openai';
+import type { RecognizeIntentionAgentItemType } from '@/types/app';
+import { countModelPrice, pushTaskBillListItem } from '@/service/events/pushBill';
+
+export type Props = {
+  systemPrompt?: string;
+  history?: ChatItemType[];
+  userChatInput: string;
+  agents: RecognizeIntentionAgentItemType[];
+  billId?: string;
+};
+export type Response = { history: ChatItemType[] };
+
+const agentModel = 'gpt-3.5-turbo';
+const agentFunName = 'agent_user_question';
+
+export default async function handler(req: NextApiRequest, res: NextApiResponse) {
+  try {
+    let { userChatInput } = req.body as Props;
+
+    if (!userChatInput) {
+      throw new Error('userChatInput is empty');
+    }
+
+    const response = await classifyQuestion(req.body);
+
+    jsonRes(res, {
+      data: response
+    });
+  } catch (err) {
+    jsonRes(res, {
+      code: 500,
+      error: err
+    });
+  }
+}
+
+/* request openai chat */
+export async function classifyQuestion({
+  agents,
+  systemPrompt,
+  history = [],
+  userChatInput,
+  billId
+}: Props) {
+  const messages: ChatItemType[] = [
+    ...(systemPrompt
+      ? [
+          {
+            obj: ChatRoleEnum.System,
+            value: systemPrompt
+          }
+        ]
+      : []),
+    {
+      obj: ChatRoleEnum.Human,
+      value: userChatInput
+    }
+  ];
+  const filterMessages = ChatContextFilter({
+    // @ts-ignore
+    model: agentModel,
+    prompts: messages,
+    maxTokens: 1500
+  });
+  const adaptMessages = adaptChatItem_openAI({ messages: filterMessages, reserveId: false });
+
+  //   function body
+  const agentFunction = {
+    name: agentFunName,
+    description: '严格判断用户问题的类型',
+    parameters: {
+      type: 'object',
+      properties: {
+        type: {
+          type: 'string',
+          description: agents.map((item) => `${item.value}，返回: '${item.key}'`).join('; '),
+          enum: agents.map((item) => item.key)
+        }
+      },
+      required: ['type']
+    }
+  };
+  const chatAPI = getOpenAIApi();
+
+  const response = await chatAPI.createChatCompletion(
+    {
+      model: agentModel,
+      temperature: 0,
+      messages: [...adaptMessages],
+      function_call: { name: agentFunName },
+      functions: [agentFunction]
+    },
+    {
+      ...axiosConfig()
+    }
+  );
+
+  const arg = JSON.parse(response.data.choices?.[0]?.message?.function_call?.arguments || '');
+
+  if (!arg.type) {
+    throw new Error('');
+  }
+
+  const totalTokens = response.data.usage?.total_tokens || 0;
+
+  await pushTaskBillListItem({
+    billId,
+    moduleName: 'Recognize Intention',
+    amount: countModelPrice({ model: agentModel, tokens: totalTokens }),
+    model: agentModel,
+    tokenLen: totalTokens
+  });
+
+  console.log(
+    'CQ',
+    agents.findIndex((item) => item.key === arg.type)
+  );
+
+  return {
+    [arg.type]: 1
+  };
+}