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@maogo/openai

v0.0.9

Published

midwayjs的openai在线模型组件

Downloads

3

Readme

该组件为midayjs的智普大模型组件

安装@maogo/zhipu

$ npm i @maogo/zhipu

启用组件

// src/configuration.ts
import * as zhipu from '@maogo/zhipu';
@Configuration({
  imports: [
    zhipu,
    {
      component: info,
      enabledEnvironment: ['local'],
    },
  ],
  importConfigs: [join(__dirname, './config')],
})

配置组件

// src/config/config.default.ts
import * as zhipu from '@maogo/zhipu';

export default {
  zhipu: {
    client: {
      apiKey: ''
    },
  },
}

创建一个对话

// src/service/zhipu.ts
import { Provide } from '@midwayjs/core';
import { ZhipuService } from '@maogo/zhipu';

@Provide()
export class ZhipuService {
  @Inject()
  zhipuService: ZhipuService;

  async dialogue() {
    return await this.zhipuService.createCompletions({
        model: "glm-4",
        messages: [
            {"role": "user", "content": "你好"},
            {"role": "assistant", "content": "我是人工智能助手"},
            {"role": "user", "content": "你叫什么名字"},
            {"role": "assistant", "content": "我叫chatGLM"},
            {"role": "user", "content": "你都可以做些什么事"}
        ],
        // 如果为 true data 就是一个 stream 对象,要通过 on('data', (buffer) => void) 读取数据
        stream: false,
    })
  }
}

生成一个图片

// src/service/zhipu.ts
import { Provide } from '@midwayjs/core';
import { ZhipuService } from '@maogo/zhipu';

@Provide()
export class ZhipuService {
  @Inject()
  zhipuService: ZhipuService;

  async createIamge() {
    return await this.zhipuService.createImages({
        model: "cogview-3",
        prompt: "一只可爱的小猫咪"
    })

  }
}

创建向量

// src/service/zhipu.ts
import { Provide } from '@midwayjs/core';
import { ZhipuService } from '@maogo/zhipu';

@Provide()
export class ZhipuService {
  @Inject()
  zhipuService: ZhipuService;

  async createEmbeddings() {
    return await this.zhipuService.createEmbeddings({
        model: "embedding-2",
        input: "你好"
    })

  }
}

文件管理

// src/service/zhipu.ts
import { Provide } from '@midwayjs/core';
import { ZhipuService } from '@maogo/zhipu';
import { openAsBlob } from 'fs';

@Provide()
export class ZhipuService {
  @Inject()
  zhipuService: ZhipuService;

  async filesOperations() {
    const result = await this.zhipuService.createFiles({
        file: await openAsBlob("file path"),
        purpose: "test"
    })

    const fileList = await this.zhipuService.findFiles(
        purpose?: string;
        limit?: number;
        after?: string;
        order?: "desc" | "asc";
    )

    return {
      result,
      fileList
    }
  }
}