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Endercom CLI

Project description

Endercom CLI

A command-line interface for deploying and managing AI agents on AWS Lambda using the Endercom framework.

PyPI version

Installation

pip install endercom-cli

Prerequisites

Before you begin, ensure you have:

  1. An AWS Account: You'll need credentials to deploy resources.
  2. AWS CLI Configured: Run aws login to set your credentials and default region.
    brew install awscli
    aws login
    
  3. AWS SAM CLI: Required for building and deploying the serverless stack.
    brew install aws-sam-cli
    

Quick Start

1. Initialize an Agent Project

Create a new agent project structure.

endercom init <agent-name>

This scaffolds a directory with:

  • agent.py: Your agent logic (where you write code)
  • app.py: Server entry point and wrapper
  • template.yaml: AWS SAM infrastructure definition
  • requirements.txt: Python dependencies
  • .endercom/agent.yaml: CLI configuration

2. Configure Environment (Optional)

If your agent needs API keys (e.g., OPENAI_API_KEY), add them to the secrets manager.

cd <agent-name>
endercom secrets set OPENAI_API_KEY "sk-..."

3. Deploy

Build and deploy your agent to AWS.

endercom deploy

The CLI will:

  • Check your code for undeclared environment variables.
  • Sync your configuration to the SAM template.
  • Build the agent using sam build.
  • Deploy using sam deploy.

Commands

Command Description
init <name> Create a new agent project.
deploy Build and deploy the agent stack to AWS.
configure Update project configuration.
secrets set <key> <val> Securely store secrets in AWS Secrets Manager.
logs Tail real-time logs from your Lambda function.
destroy Tear down the AWS stack and remove associated secrets.

Configuration

The source of truth for your agent's configuration is .endercom/agent.yaml.

name: my-agent
runtime: python3.12
region: us-east-1
memory: 1024
timeout: 30
env:
  MY_PUBLIC_VAR: "production"
secrets:
  - OPENAI_API_KEY
  • env: Standard environment variables injected at deployment.
  • secrets: List of keys to resolve securely from AWS Secrets Manager.

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