zhipuai-sdk-nodejs-v4
v0.1.12
Published
智谱开放平台大模型接口 Nodejs SDK (Big Model API SDK in Nodejs),让开发者更便捷的调用智谱开放API
Downloads
150
Readme
智谱大模型开放接口SDK
智谱开放平台大模型接口 Nodejs SDK (Big Model API SDK in Nodejs),让开发者更便捷的调用智谱开放API
简介
目前 SDK 处于刚开始开发阶段,有 bug 或者缺少需要的功能请提 issues
安装
npm install zhipuai-sdk-nodejs-v4
# or
yarn add zhipuai-sdk-nodejs-v4
使用
使用 apiKey 创建 Client,大部分操作都在这里进行
创建一个对话
调用 createCompletions 快速创建一个对话
import { ZhipuAI } from 'zhipuai-sdk-nodejs-v4';
const dialogue = async () => {
const ai = new ZhipuAI()
const data = await ai.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"}
],
stream: false,
})
console.log(data, "message")
}
dialogue()
流式调用
import { ZhipuAI } from 'zhipuai-sdk-nodejs-v4';
const dialogue = async () => {
const ai = new ZhipuAI()
const result = await ai.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" }
],
stream: true
})
for await (const chunk of result) {
console.log(chunk.toString())
}
}
dialogue()
生成一个图片
调用 createImages 快速生成一个图片
import { ZhipuAI } from 'zhipuai-sdk-nodejs-v4';
const createIamge = async () => {
const ai = new ZhipuAI()
const result = await ai.createImages({
model: "cogview-3",
prompt: "一只可爱的小猫咪"
})
console.log(result.data, "image url list")
}
createIamge()
创建向量
调用 createEmbeddings 快速创建向量
import { ZhipuAI } from 'zhipuai-sdk-nodejs-v4';
const createEmbeddings = async () => {
const ai = new ZhipuAI()
const result = await ai.createEmbeddings({
model: "embedding-2",
input: "你好"
})
console.log(result, "embedding")
}
createEmbeddings()
文件管理
调用 createFiles 快速创建文件 调用 findFiles 查询文件列表
import { ZhipuAI } from 'zhipuai-sdk-nodejs-v4';
import { openAsBlob } from 'fs';
const filesOperations = async () => {
const ai = new ZhipuAI()
const result = await ai.createFiles({
file: await openAsBlob("file path"),
purpose: "test"
})
console.log(result, "create file")
const fileList = await ai.findFiles(
purpose?: string;
limit?: number;
after?: string;
order?: "desc" | "asc";
)
console.log(fileList, "find file list")
}
filesOperations()