minikai

中文文档
1.28.1发布于 2026/11/04TypeScriptESM + CJS零依赖

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原始使用文档
文档目录22 节
  1. Table of Contents
  2. Installation
  3. Reference
  4. Usage
  5. Environments
  6. Request and Response Types
  7. Exception Handling
  8. File Uploads
  9. Metadata
  10. Binary Response
  11. Advanced
  12. Subpackage Exports
  13. Additional Headers
  14. Additional Query String Parameters
  15. Retries
  16. Timeouts
  17. Aborting Requests
  18. Access Raw Response Data
  19. Logging
  20. Custom Fetch
  21. Runtime Compatibility
  22. Contributing

Minikai TypeScript Library

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The Minikai TypeScript library provides convenient access to the Minikai APIs from TypeScript.

Table of Contents

Installation

npm i -s minikai

Reference

A full reference for this library is available here.

Usage

Instantiate and use the client with the following:

import { MinikaiClient } from "minikai";

const client = new MinikaiClient({ token: "YOUR_TOKEN" });
await client.labelGroups.createLabelGroup({
    name: "name",
    resourceType: "record"
});

Environments

This SDK allows you to configure different environments for API requests.

import { MinikaiClient, MinikaiEnvironment } from "minikai";

const client = new MinikaiClient({
    environment: MinikaiEnvironment.Australia,
});

Request and Response Types

The SDK exports all request and response types as TypeScript interfaces. Simply import them with the following namespace:

import { Minikai } from "minikai";

const request: Minikai.CreateLabelGroupCommand = {
    ...
};

Exception Handling

When the API returns a non-success status code (4xx or 5xx response), a subclass of the following error will be thrown.

import { MinikaiError } from "minikai";

try {
    await client.labelGroups.createLabelGroup(...);
} catch (err) {
    if (err instanceof MinikaiError) {
        console.log(err.statusCode);
        console.log(err.message);
        console.log(err.body);
        console.log(err.rawResponse);
    }
}

File Uploads

You can upload files using the client:

import { createReadStream } from "fs";
import * as fs from "fs";
import { MinikaiClient } from "minikai";

const client = new MinikaiClient({ token: "YOUR_TOKEN" });
await client.minis.uploadMiniProfilePicture("id", {
    file: fs.createReadStream("/path/to/your/file")
});

The client accepts a variety of types for file upload parameters:

  • Stream types: fs.ReadStream, stream.Readable, and ReadableStream
  • Buffered types: Buffer, Blob, File, ArrayBuffer, ArrayBufferView, and Uint8Array

Metadata

You can configure metadata when uploading a file:

const file: Uploadable.WithMetadata = {
    data: createReadStream("path/to/file"),
    filename: "my-file",       // optional
    contentType: "audio/mpeg", // optional
    contentLength: 1949,       // optional
};

Alternatively, you can upload a file directly from a file path:

const file : Uploadable.FromPath = {
    path: "path/to/file",
    filename: "my-file",        // optional
    contentType: "audio/mpeg",  // optional
    contentLength: 1949,        // optional
};

The metadata is used to set the Content-Length, Content-Type, and Content-Disposition headers. If not provided, the client will attempt to determine them automatically. For example, fs.ReadStream has a path property which the SDK uses to retrieve the file size from the filesystem without loading it into memory.

Binary Response

You can consume binary data from endpoints using the BinaryResponse type which lets you choose how to consume the data:

const response = await client.minis.downloadMiniProfilePicture(...);
const stream: ReadableStream<Uint8Array> = response.stream();
// const arrayBuffer: ArrayBuffer = await response.arrayBuffer();
// const blob: Blob = response.blob();
// const bytes: Uint8Array = response.bytes();
// You can only use the response body once, so you must choose one of the above methods.
// If you want to check if the response body has been used, you can use the following property.
const bodyUsed = response.bodyUsed;
Save binary response to a file
Node.js
ReadableStream (most-efficient)
import { createWriteStream } from 'fs';
import { Readable } from 'stream';
import { pipeline } from 'stream/promises';

const response = await client.minis.downloadMiniProfilePicture(...);

const stream = response.stream();
const nodeStream = Readable.fromWeb(stream);
const writeStream = createWriteStream('path/to/file');

await pipeline(nodeStream, writeStream);
ArrayBuffer
import { writeFile } from 'fs/promises';

const response = await client.minis.downloadMiniProfilePicture(...);

const arrayBuffer = await response.arrayBuffer();
await writeFile('path/to/file', Buffer.from(arrayBuffer));
Blob
import { writeFile } from 'fs/promises';

const response = await client.minis.downloadMiniProfilePicture(...);

const blob = await response.blob();
const arrayBuffer = await blob.arrayBuffer();
await writeFile('output.bin', Buffer.from(arrayBuffer));
Bytes (UIntArray8)
import { writeFile } from 'fs/promises';

const response = await client.minis.downloadMiniProfilePicture(...);

const bytes = await response.bytes();
await writeFile('path/to/file', bytes);
Bun
ReadableStream (most-efficient)
const response = await client.minis.downloadMiniProfilePicture(...);

const stream = response.stream();
await Bun.write('path/to/file', stream);
ArrayBuffer
const response = await client.minis.downloadMiniProfilePicture(...);

const arrayBuffer = await response.arrayBuffer();
await Bun.write('path/to/file', arrayBuffer);
Blob
const response = await client.minis.downloadMiniProfilePicture(...);

const blob = await response.blob();
await Bun.write('path/to/file', blob);
Bytes (UIntArray8)
const response = await client.minis.downloadMiniProfilePicture(...);

const bytes = await response.bytes();
await Bun.write('path/to/file', bytes);
Deno
ReadableStream (most-efficient)
const response = await client.minis.downloadMiniProfilePicture(...);

const stream = response.stream();
const file = await Deno.open('path/to/file', { write: true, create: true });
await stream.pipeTo(file.writable);
ArrayBuffer
const response = await client.minis.downloadMiniProfilePicture(...);

const arrayBuffer = await response.arrayBuffer();
await Deno.writeFile('path/to/file', new Uint8Array(arrayBuffer));
Blob
const response = await client.minis.downloadMiniProfilePicture(...);

const blob = await response.blob();
const arrayBuffer = await blob.arrayBuffer();
await Deno.writeFile('path/to/file', new Uint8Array(arrayBuffer));
Bytes (UIntArray8)
const response = await client.minis.downloadMiniProfilePicture(...);

const bytes = await response.bytes();
await Deno.writeFile('path/to/file', bytes);
Browser
Blob (most-efficient)
const response = await client.minis.downloadMiniProfilePicture(...);

const blob = await response.blob();
const url = URL.createObjectURL(blob);

// trigger download
const a = document.createElement('a');
a.href = url;
a.download = 'filename';
a.click();
URL.revokeObjectURL(url);
ReadableStream
const response = await client.minis.downloadMiniProfilePicture(...);

const stream = response.stream();
const reader = stream.getReader();
const chunks = [];

while (true) {
  const { done, value } = await reader.read();
  if (done) break;
  chunks.push(value);
}

const blob = new Blob(chunks);
const url = URL.createObjectURL(blob);

// trigger download
const a = document.createElement('a');
a.href = url;
a.download = 'filename';
a.click();
URL.revokeObjectURL(url);
ArrayBuffer
const response = await client.minis.downloadMiniProfilePicture(...);

const arrayBuffer = await response.arrayBuffer();
const blob = new Blob([arrayBuffer]);
const url = URL.createObjectURL(blob);

// trigger download
const a = document.createElement('a');
a.href = url;
a.download = 'filename';
a.click();
URL.revokeObjectURL(url);
Bytes (UIntArray8)
const response = await client.minis.downloadMiniProfilePicture(...);

const bytes = await response.bytes();
const blob = new Blob([bytes]);
const url = URL.createObjectURL(blob);

// trigger download
const a = document.createElement('a');
a.href = url;
a.download = 'filename';
a.click();
URL.revokeObjectURL(url);
Convert binary response to text
ReadableStream
const response = await client.minis.downloadMiniProfilePicture(...);

const stream = response.stream();
const text = await new Response(stream).text();
ArrayBuffer
const response = await client.minis.downloadMiniProfilePicture(...);

const arrayBuffer = await response.arrayBuffer();
const text = new TextDecoder().decode(arrayBuffer);
Blob
const response = await client.minis.downloadMiniProfilePicture(...);

const blob = await response.blob();
const text = await blob.text();
Bytes (UIntArray8)
const response = await client.minis.downloadMiniProfilePicture(...);

const bytes = await response.bytes();
const text = new TextDecoder().decode(bytes);

Advanced

Subpackage Exports

This SDK supports direct imports of subpackage clients, which allows JavaScript bundlers to tree-shake and include only the imported subpackage code. This results in much smaller bundle sizes.

import { LabelGroupsClient } from 'minikai/labelGroups';

const client = new LabelGroupsClient({...});

Additional Headers

If you would like to send additional headers as part of the request, use the headers request option.

import { MinikaiClient } from "minikai";

const client = new MinikaiClient({
    ...
    headers: {
        'X-Custom-Header': 'custom value'
    }
});

const response = await client.labelGroups.createLabelGroup(..., {
    headers: {
        'X-Custom-Header': 'custom value'
    }
});

Additional Query String Parameters

If you would like to send additional query string parameters as part of the request, use the queryParams request option.

const response = await client.labelGroups.createLabelGroup(..., {
    queryParams: {
        'customQueryParamKey': 'custom query param value'
    }
});

Retries

The SDK is instrumented with automatic retries with exponential backoff. A request will be retried as long as the request is deemed retryable and the number of retry attempts has not grown larger than the configured retry limit (default: 2).

Which status codes are retried depends on the retryStatusCodes generator configuration:

legacy (current default): retries on

  • 408 (Timeout)
  • 429 (Too Many Requests)
  • 5XX (All server errors, including 500)

recommended: retries on

  • 408 (Timeout)
  • 429 (Too Many Requests)
  • 502 (Bad Gateway)
  • 503 (Service Unavailable)
  • 504 (Gateway Timeout)

Use the maxRetries request option to configure this behavior.

const response = await client.labelGroups.createLabelGroup(..., {
    maxRetries: 0 // override maxRetries at the request level
});

Timeouts

The SDK defaults to a 60 second timeout. Use the timeoutInSeconds option to configure this behavior.

const response = await client.labelGroups.createLabelGroup(..., {
    timeoutInSeconds: 30 // override timeout to 30s
});

Aborting Requests

The SDK allows users to abort requests at any point by passing in an abort signal.

const controller = new AbortController();
const response = await client.labelGroups.createLabelGroup(..., {
    abortSignal: controller.signal
});
controller.abort(); // aborts the request

Access Raw Response Data

The SDK provides access to raw response data, including headers, through the .withRawResponse() method. The .withRawResponse() method returns a promise that results to an object with a data and a rawResponse property.

const { data, rawResponse } = await client.labelGroups.createLabelGroup(...).withRawResponse();

console.log(data);
console.log(rawResponse.headers['X-My-Header']);

Logging

The SDK supports logging. You can configure the logger by passing in a logging object to the client options.

import { MinikaiClient, logging } from "minikai";

const client = new MinikaiClient({
    ...
    logging: {
        level: logging.LogLevel.Debug, // defaults to logging.LogLevel.Info
        logger: new logging.ConsoleLogger(), // defaults to ConsoleLogger
        silent: false, // defaults to true, set to false to enable logging
    }
});

The logging object can have the following properties:

  • level: The log level to use. Defaults to logging.LogLevel.Info.
  • logger: The logger to use. Defaults to a logging.ConsoleLogger.
  • silent: Whether to silence the logger. Defaults to true.

The level property can be one of the following values:

  • logging.LogLevel.Debug
  • logging.LogLevel.Info
  • logging.LogLevel.Warn
  • logging.LogLevel.Error

To provide a custom logger, you can pass in an object that implements the logging.ILogger interface.

Custom logger examples

Here's an example using the popular winston logging library.

import winston from 'winston';

const winstonLogger = winston.createLogger({...});

const logger: logging.ILogger = {
    debug: (msg, ...args) => winstonLogger.debug(msg, ...args),
    info: (msg, ...args) => winstonLogger.info(msg, ...args),
    warn: (msg, ...args) => winstonLogger.warn(msg, ...args),
    error: (msg, ...args) => winstonLogger.error(msg, ...args),
};

Here's an example using the popular pino logging library.

import pino from 'pino';

const pinoLogger = pino({...});

const logger: logging.ILogger = {
  debug: (msg, ...args) => pinoLogger.debug(args, msg),
  info: (msg, ...args) => pinoLogger.info(args, msg),
  warn: (msg, ...args) => pinoLogger.warn(args, msg),
  error: (msg, ...args) => pinoLogger.error(args, msg),
};

Custom Fetch

The SDK provides a low-level fetch method for making custom HTTP requests while still benefiting from SDK-level configuration like authentication, retries, timeouts, and logging. This is useful for calling API endpoints not yet supported in the SDK.

const response = await client.fetch("/v1/custom/endpoint", {
    method: "GET",
}, {
    timeoutInSeconds: 30,
    maxRetries: 3,
    headers: {
        "X-Custom-Header": "custom-value",
    },
});

const data = await response.json();

Runtime Compatibility

The SDK works in the following runtimes:

  • Node.js 18+
  • Vercel
  • Cloudflare Workers
  • Deno v1.25+
  • Bun 1.0+
  • React Native

Contributing

While we value open-source contributions to this SDK, this library is generated programmatically. Additions made directly to this library would have to be moved over to our generation code, otherwise they would be overwritten upon the next generated release. Feel free to open a PR as a proof of concept, but know that we will not be able to merge it as-is. We suggest opening an issue first to discuss with us!

On the other hand, contributions to the README are always very welcome!

版本与发布记录

minikai 共发布 32 个版本,首次发布于 2026/06/04;过去 12 个月发布了 32 个版本。

版本发布日期距今
1.28.1latest2026/11/04今天
1.28.02026/11/022 天前
1.27.12026/10/296 天前
1.27.02026/10/2213 天前
1.26.02026/10/2213 天前
1.25.02026/10/0926 天前

关于 minikai 的常见问题

minikai 是什么?

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如何安装 minikai?

在项目目录运行 npm install minikai,或使用 pnpm add / yarn add / bun add。

minikai 支持 TypeScript 吗?

支持。包内自带 TypeScript 类型声明(package.json 声明了 types 入口),安装后即可获得类型提示,无需再安装 @types 包。

minikai 支持 ESM 还是 CommonJS?

同时提供 ES Module 与 CommonJS 入口,import 和 require() 都可以使用,打包工具会自动选择合适的版本。

minikai 需要什么版本的 Node.js?

package.json 的 engines 字段要求 Node.js >=18.0.0。版本不符时 npm 默认只给出警告,开启 engine-strict 后会拒绝安装。

minikai 可以商用吗?

minikai 使用 未声明 许可。package.json 没有声明许可证。没有许可证的代码默认保留全部权利,商用前请联系作者或查看仓库中的 LICENSE 文件。以上为概括,不构成法律意见,请以许可原文为准。

minikai 还在维护吗?

最新版本 1.28.1 发布于 2026/11/04(今天);至今共发布 32 个版本,其中过去 12 个月发布了 32 个;首次发布于 2026/06/04。发布频率只是参考信号:功能稳定的工具可能很少需要更新,建议结合源码仓库的 issue 和提交记录判断。