Autocode Setup | Node | Web | Python (alpha) | Ruby (alpha)
Autocode is a fastest and easy way to build web services and APIs that respond to external SaaS events. The Autocode ecosystem treats external SaaS APIs as single-line function calls with the use of the lib package in NPM. The Autocode CLI allows you to interact seamlessly with the following components of Autocode:
Autocode is based on Function as a Service ("serverless") architecture, initially popularized by AWS Lambda. You can use Autocode to build modular, scalable APIs for yourself and other developers in minutes without having to manage servers, gateways, domains, write documentation, or build SDKs. Your development workflow has never been easier - focus on writing code you love, let Autocode handle everything else.
Autocode uses an open specification called FunctionScript for function definitions and execution. If you run into concerns or questions as you're building from this guide, please reference the FunctionScript repository. :)
You can view services published by our large and growing developer community on the Autocode standard library page.

To get started with Autocode, first make sure you have Node 8.x or later installed, available from the official Node.js website. Next install the Autocode CLI tools with:
$ npm install lib.cli -g
And you're now ready to start building!
The first thing you'll want to do is create a workspace. Create a new directory you intend to build your services in and initialize the workspace.
$ mkdir autocode-workspace
$ cd autocode-workspace
$ lib init
You'll be asked for an e-mail address to log in to the Autocode registry.
If you don't yet have an account, you can create one by going to https://autocode.com/.
Note that you can skip account creation with lib init --no-login.
You'll be unable to use the registry, but it's useful for creating workspaces
when you don't have internet access.
Next, create your service:
$ lib create <service>
You'll be asked for a default function name, which is the entry point
into your service (useful if you only want a single entry point). This will automatically
generate a service project scaffold in autocode-workspace/<username>/<service>.
Once created, enter the service directory:
$ cd your_username/your_service
In this directory, you'll see something like:
- functions/
- __main__.js
- package.json
- env.json
- WELCOME.md
- README.md
At this point, there's a "hello world" function that's been automatically
created (__main__.js). Autocode comes paired with a simple lib command for
testing your functions locally and running them in the cloud.
To test your function:
$ lib . "hello world"
If we examine the functions/__main__.js file, we see the following:
/** * A basic Hello World function * @param {string} name Who you're saying hello to * @returns {string} */ module.exports = async (name = 'world', context) => { return `hello ${name}`; };
We can pass parameters to it using the CLI by specifying named parameters:
$ lib . --name "dolores abernathy" "hello dolores abernathy"
Note that context is a magic parameter (automatically populated with
execution details, when provided) as is callback (terminates execution),
so these don't need to be documented and can not be specified as
parameters when executing the function.
To push your function to a development environment in the cloud...
$ lib up dev $ lib your_username.your_service[@dev] "hello world"
And to release it (when you're ready!)
$ lib release $ lib your_username.your_service "hello world"
You can check out your service on the web, and use it in applications using our
functions gateway, api.stdlib.com.
https://your_username.api.stdlib.com/your_service/
That's it! You haven't written a line of code yet, and you have mastery over building a service, testing it in a development (staging) environment online, and releasing it for private (or public) consumption.
Note: By default, APIs that you publish with lib release will have a
documentation page in the Autocode public registry. You can keep your page private,
as well as restrict execution access or add collaborators to your API,
by modifying your API's permissions. For more information, see this docs page.
Another Note: Staging environments (like the one created with lib up dev)
are mutable and can be replaced indefinitely. Releases (lib release) are
immutable and can never be overwritten. However, any service can be torn down
with lib down <environment> or lib down -r <version> (but releases
can't be replaced once removed, to prevent mistakes and / or bad actors).
You'll notice that you can create more than one function per service. While
you can structure your project however you'd like internally, it should also
be noted that these functions have zero-latency access to each other. You
can access them internally with the lib package on NPM,
which behaves similarly to the lib command for testing. Use:
$ npm install lib --save
In your main service directory to add it, and use it like so:
module.exports = async (a = 0, b = 0) => { return a + b; };
const lib = require('lib'); module.exports = async (a = 0, b = 0, context) => { let result = await lib[`${context.service.identifier}.add`]({a: a, b: b}); return result * 2; };
In this case, calling lib .add --a 1 --b 2 will return 3 and lib .add_double --a 1 --b 2
will return 6. The context magic parameter is used for its
context.service.identifier property, which will return the string "your_username.your_service[@local]"
in the case of local execution, "your_username.your_service[@ENV]" when deployed to an
environment or release (where ENV is your environment name or semver).
As mentioned in the previous section, you can use the NPM lib package that's
available on GitHub and NPM to access your
APIs from legacy Node.js applications and even the web browser. We'll
have more SDKs coming out in the following months.
An existing app would call a function (username.bestTrekChar with version 0.2.1):
const lib = require('lib'); let result; try { result = await lib.username.bestTrekChar['@0.2.1']({name: 'spock'}); } catch (err) { // handle error } // do something with result
Which would speak to your API...
module.exports = async (name = 'kirk') => { if (name === 'kirk') { return 'why, thank, you, too, kind'; } else if (name === 'spock') { return 'i think this feeling is called "pleased"'; } else { throw new Error('Only kirk and spock supported.'); } };
We definitely recommend using the lib library on NPM to make API calls as specified above, but you can also make HTTPS requests directly to the Autocode gateway. HTTP query parameters are mapped automatically to parameters by name.
https://username.api.stdlib.com/liveService@1.12.2/?name=BATMAN
Maps directly to:
/** * Hello World * @param {string} name * @returns {string} */ module.exports = async (name = 'world') => { // returns "HELLO BATMAN" from above HTTP query return `Hello ${name}`; };
A quick note on version control - Autocode is not a replacement for normal git-based workflows, it is a supplement focused around service creation and execution.
You have unlimited access to any release (that hasn't been torn down)
with lib download <serviceIdentifier> to download and unpack the
tarball to a working directory.
Tarballs (and package contents) are closed-source. Nobody but you (and potentially your teammates) has access to these. It's up to you whether or not you share the guts of your service with others on GitHub or NPM.
As mentioned above: releases are immutable and can not be overwritten (but can be removed, just not replaced afterwards) and development / staging environments are mutable, you can overwrite them as much as you'd like.
Logging for services is enabled by default. When running a service locally with
lib . or lib .functionname, all logs will be output in your console. The very
last output (normally a JSON-compatible string) is the return value of the function.
To view remote logs (in dev or release environments), use the following syntax:
:: Lists all logs for the service $ lib logs username.servicename :: Lists main service endpoint logs for "dev" environment $ lib logs username.servicename[@dev] :: Lists service endpoint named "test" logs for "dev" environment $ lib logs username.servicename[@dev].test :: Lists all logs for "dev" environment $ lib logs username.servicename[@dev]* $ lib logs username.servicename[@dev].*
The default log type is stdout, though you can specify stderr with
lib logs username.servicename -t stderr.
Limit the number of lines to show with the -l argument (or --lines).
Autocode comes packed with a bunch of other goodies - as we roll out updates to
the platform the serverless builds we're using may change. You can update
your service to our latest build using lib rebuild. If for any reason your
service goes down and is unrecoverable, you can fix it with this command.
To see a full list of commands available for the CLI tools, type:
$ lib help
We've conveniently copy-and-pasted the output here for you to peruse;
*
-b Execute as a Background Function
-d Specify debug mode (prints Gateway logs locally, response logs remotely)
-i Specify information mode (prints tar packing and execution request progress)
-t Specify an Identity Token to use manually
-x Unauthenticated - Execute without a token (overrides active token and -t flag)
--* all verbose flags converted to named keyword parameters
Runs an Autocode function, i.e. "lib user.service[@env]" (remote) or "lib ." (local)
create [service]
-n No login - don't require an internet connection
-w Write over - overwrite the current directory contents
--no-login No login - don't require an internet connection
--write-over Write over - overwrite the current directory contents
Creates a new (local) service
down [environment]
-r Remove a release version (provide number)
--release Remove a release version (provide number)
Removes Autocode package from registry and cloud environment
download [username/name OR username/name@env OR username/name@version]
-w Write over - overwrite the target directory contents
--write-over Write over - overwrite the target directory contents
Retrieves and extracts Autocode package
endpoints:create [name] [description] [param_1] [param_2] [...] [param_n]
-n New directory: Create as a __main__.js file, with the name representing the directory
--new New directory: Create as a __main__.js file, with the name representing the directory
Creates a new endpoint for a service
hostnames:add [source] [target]
Adds a new hostname route from a source custom hostname to a target service you own.
Accepts wildcards wrapped in curly braces ("{}") or "*" at the front of the hostname.
hostnames:list
Displays created hostname routes from source custom hostnames to target services you own
hostnames:remove
Removes a hostname route from a source custom hostname to a target service you own
http
-p Port (default 8170)
--port Port (default 8170)
Creates HTTP Server for Current Service
init [environment]
-f Force command to overwrite existing workspace
-n No login - don't require an internet connection
--force Force command to overwrite existing workspace
--no-login No login - don't require an internet connection
Initializes Autocode workspace
login
--email E-mail
--password Password
Logs in to Autocode
logout
-f Force - clears information even if current Access Token invalid
--force Force - clears information even if current Access Token invalid
Logs out of Autocode in this workspace
logs [service]
-l The number of log lines you want to retrieve
-t The log type you want to retrieve. Allowed values are "stdout" and "stderr".
--lines The number of log lines you want to retrieve
--type The log type you want to retrieve. Allowed values are "stdout" and "stderr".
Retrieves logs for a given service
rebuild [environment]
-r Rebuild a release package
--release Rebuild a release package
Rebuilds a service (useful for registry performance updates), alias of `lib restart -b`
release
Pushes release of Autocode package to registry and cloud (Alias of `lib up -r`)
tokens
Selects an active Identity Token for API Authentication
tokens:add-to-env
Sets STDLIB_SECRET_TOKEN in env.json "local" field to the value of an existing token
tokens:list
-a All - show invalidated tokens as well
-s Silent mode - do not display information
--all All - show invalidated tokens as well
--silent Silent mode - do not display information
Lists your remotely generated Identity Tokens (Authentication)
up [environment]
-f Force deploy
-r Upload a release package
--force Force deploy
--release Upload a release package
Pushes Autocode package to registry and cloud environment
user
-s <key> <value> Sets a specified key-value pair
--new-password Sets a new password via a prompt
--reset-password <email> Sends a password reset request for the specified e-mail address
--set <key> <value> Sets a specified key-value pair
Retrieves (and sets) current user information
version
Returns currently installed version of Autocode command line tools
If you're running a previous version and are having issues with the CLI, try cleaning up the old CLI binary links first;
$ rm /usr/local/bin/f
$ rm /usr/local/bin/lib
$ rm /usr/local/bin/stdlib
Yep, it's really that easy. To keep up-to-date on developments, please star us here on GitHub, and sign up a user account for the registry. You can read more about service hosting and keep track of official updates on the official Autocode website, autocode.com.
Autocode is a product of and © 2021 Polybit Inc.
We'd love for you to pay attention to @AutocodeHQ and what we're building next! If you'd consider joining the team, shoot us an e-mail.
You can also follow our team on Twitter:
Issues encouraged,


最适合小白的AI自动化工作流平台
无需编码,轻松生成可复用、可变现的AI自动化工作流

大模型驱动的Excel数据处理工具
基于大模型交互的表格处理系统,允许用户通过对话方式完成数据整理和可视化分析。系统采用机器学习算法解析用户指令,自动执行排序、公式计算和数据透视等操作,支持多种文件格式导入导出。数据处理响应速度保持在0.8秒以内,支持超过100万行数据的即时分析。


AI辅助编程,代码自动修复
Trae是一种自适应的集成开发环境(IDE),通过自动化和多元协作改变开发流程。利用Trae,团队能够更快速、精确地编写和部署代码,从而提高编程效率和项目交付速度。Trae具备上下文感知和代码自动完成功能,是提升开发效率的理想工具。


AI论文写作指导平台
AIWritePaper论文写作是一站式AI论文写作辅助工具,简化了选题、文献检索至论文撰写的整个过程。通过简单设定,平台可快速生成高质量论文大纲和全文,配合图表、参考文献等一应俱全,同时提供开题报告和答辩PPT等增值服务,保障数据安全,有效提升写作效率和论文质量。


AI一键生成PPT,就用博思AIPPT!
博思AIPPT,新一代的AI生成PPT平台,支持智能生成PPT、AI美化PPT、文本&链接生成PPT、导入Word/PDF/Markdown文档生成PPT等,内置海量精美PPT模板,涵盖商务、教育、科技等不同风格,同时针对每个页面提供多种版式,一键自适应切换,完美适配各种办公场景。


AI赋能电商视觉革命,一站式智能商拍平台
潮际好麦深耕服装行业,是国内AI试衣效果最好的软件。使用先进AIGC能力为电商卖家批量提供优质的、低成本的商拍图。合作品牌有Shein、Lazada、安踏、百丽等65个国内外头部品牌,以及国内10万+淘宝、天猫、京东等主流平台的品牌商家,为卖家节省将近85%的出图成本,提升约3倍出图效率,让品牌能够快速上架。


企业专属的AI法律顾问
iTerms是法大大集团旗下法律子品牌,基于最先进的大语言模型(LLM)、专业的法律知识库和强大的智能体架构,帮助企业扫清合规障碍,筑牢风控防线,成为您企业专属的AI法律顾问。


稳定高效的流量提升解决方案,助力品牌曝光
稳定高效的流量提升解决方案,助力品牌曝光


最新版Sora2模型免费使用,一键生成无水印视频
最新版Sora2模型免费使用,一键生成无水印视频


实时语音翻译/同声传译工具
Transly是一个多场景的AI大语言模型驱动的同声传译、专业翻译助手,它拥有超精准的音频识别翻译能力,几乎零延迟的使用体验和支持多国语言可以让你带它走遍全球,无论你是留学生、商务人士、韩剧美剧爱好者,还是出国游玩、多国会议、跨国追星等等,都可以满足你所有需要同传的场景需求,线上线下通用,扫除语言障碍,让全世界的语言交流不再有国界。
最新AI工具、AI资讯
独家AI资源、AI项目落地

微信扫 一扫关注公众号