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2.5.2 • Public • Published



The Leo command line interface

After installaction: Quick Start Guide: https://github.com/LeoPlatform/Leo

Overview of the Leo Platform: https://docs.leoplatform.io



  1. Install the aws-cli toolkit - Instructions for this are found at http://docs.aws.amazon.com/cli/latest/userguide/installing.html
  2. Configure the aws-cli tools - Instructions are found at http://docs.aws.amazon.com/cli/latest/userguide/cli-chap-getting-started.html
  3. Install node - https://nodejs.org/en/
  4. Deploy the Leo Bus Cloudformation


  1. Install using npm. In your project folder run the following command.
npm install leo-cli -g

leo-cli create

Create a System

A system provides you the opportunity to create a cohesive group of microservices. It is not required, but gives you a moment to consider the overall structure of your project. The leo-cli create commands will create a directory.

leo-cli create system MySystem
cd MySystem

Create a Microservice

A microservice is the central architectural construct

leo-cli create microservice MyService
cd MyService

Create a REST API

Microservice exposed via REST.

leo-cli create resource MyAPI
cd MyAPI

Create a React Application

A front-end application. Also considered a microservice

leo-cli create react MyReactApp
cd MyReactApp

Additional tools for Leo front-end applications:

LEO Authentication - Helps provide cognito authenticated api calls

LEO Authorization - A Front-end Authorization framework that is modeled after AWS Permission structure

Front End Specific Configuration - Configure AWS Cognito for Front End apps

Build Bots

Bots must be created inside a microservice directory

cd /MySystem/MyService
leo-cli create load MyLoadBot
leo-cli create enrich MyEnrichBot
leo-cli create offload MyOffloadBot
leo-cli create bot MyBot
leo-cli create cron MyCronBot

Testing Bots

Inside a bot directory

cd /MySystem/MyService/bots/MyBot
leo-cli test .

Runing Bots

Inside a bot or resource directory

cd /MySystem/MyService/bots/MyBot
leo-cli run .

leo-cli publish - Publishing Microservices & Bots

Publishing a microservice will build all needed lambda functions into zip files and a cloudformation file. Those files are then uploaded to your publish s3 bucket.

The publish command must be run from a micorservice or bot directory

leo-cli publish

As of version 2.0.0, leo_cli_config.js and leo_config.js are required to be able to publish. See leo-config for config details. Config files are automatically created as part of the Quick Start.


  • -e --env [environment] Environment.
  • --changeset Only build Changeset.
  • -c Only build cloudformation.
  • -s Save cloudformation.json to the microservice directory.
  • -F --force-deploy Force-deploy without requiring confirmation of changeset.
  • -d --deploy [environment] Deploy the published cloudformation.
  • -f all --force all Force publish and deploy of all bots, including ones without changes.
  • --filter idGlobExp Filters the lambdas deployed by the given glob expression. default: *
  • --run awsStackName Runs the generated cloudformation.json against the AWS Stack 'awsStackName'. If the stack doesn't exist, it will be crated
  • --build Builds the cloudformation and lambdas but doesn't publish them to s3
  • --public Makes the s3 publish folder public

Version of the build using the microservice or bot package.json file. If a bot is forced to be built and has the same version number the current timestamp will be appended to he version

Deploy Examples

Publish a Microservice with all new/updated bots

cd /MySystem/MyService
leo-cli publish 

Publish a Microservice and force all bots to build

cd /MySystem/MyService
leo-cli publish --force all

Publish a single bot in a Microservice

cd /MySystem/MyService/bots/MyBot
leo-cli publish

Publish a single bot or resource in a Microservice

cd /MySystem/MyService/bots/MyBot
leo-cli publish 
cd /MySystem/MyService
leo-cli publish --filter MyBot

Deploying a Microservices to AWS

The deploy command can only be run after a microservice has been published. You must be inside a microservice directory to deploy.

The second parameter is the name of the AWS Stack for the microservice.

cd /MySystem/MyService
leo-cli deploy . TestMyService
leo-cli deploy . StageMyService
leo-cli deploy . ProdMyService


Want to hire an expert, or need technical support? Reach out to the Leo team: https://leoinsights.com/contact




npm i leo-cli

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