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Jan 18, 2025
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📖 [docs] 英語READMEの自動更新 #55

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36 changes: 20 additions & 16 deletions docs/README.en.md
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Expand Up @@ -8,23 +8,24 @@
<a href="https://github.com/Sunwood-ai-labs/AMATERASU/blob/main/LICENSE"><img alt="License" src="https://img.shields.io/github/license/Sunwood-ai-labs/AMATERASU?color=green"></a>
</p>

<h2 align="center">Enterprise-Grade Private AI Platform (v1.12.0)</h2>
<h2 align="center">Enterprise-Grade Private AI Platform (v1.13.0)</h2>

>[!IMPORTANT]
>This repository leverages [SourceSage](https://github.com/Sunwood-ai-labs/SourceSage). Approximately 90% of the release notes, README, and commit messages were generated using [SourceSage](https://github.com/Sunwood-ai-labs/SourceSage) and [claude.ai](https://claude.ai/).
>This repository leverages [SourceSage](https://github.com/Sunwood-ai-labs/SourceSage). Approximately 90% of the release notes, README, and commit messages were generated using [SourceSage](https://github.com/Sunwood-ai-labs/SourceSage) and [claude.ai](https://claude.ai/).

>[!NOTE]
>AMATERASU is the successor project to [MOA](https://github.com/Sunwood-ai-labs/MOA). It has evolved to run each AI service as an independent EC2 instance using Docker Compose, allowing for easy deployment with Terraform.
>AMATERASU is the successor project to [MOA](https://github.com/Sunwood-ai-labs/MOA). It has evolved to run each AI service on an independent EC2 instance using Docker Compose, enabling easy deployment with Terraform.


## 🚀 Project Overview

AMATERASU is an enterprise-grade private AI platform. Built on AWS Bedrock and Google Vertex AI, it allows for the development and operation of LLM-based applications in a secure and scalable environment. Integration with GitLab streamlines version control, CI/CD pipelines, and project management. v1.12.0 includes a new Terraform variable generator web application.
AMATERASU is an enterprise-grade private AI platform. Built on AWS Bedrock and Google Vertex AI, it allows you to develop and operate LLM-based applications in a secure and scalable environment. Integration with GitLab streamlines version control, CI/CD pipelines, and project management. v1.13.0 includes UI/UX improvements for the Streamlit application, improvements to the Langfuse backend infrastructure, and updated documentation.

## ✨ Key Features

### Secure Foundation
- Secure LLM foundation based on AWS Bedrock and Google Vertex AI
- Operation in a completely closed environment
- Operation in a fully closed environment
- Enterprise-grade security

### Microservice Architecture
Expand All @@ -33,12 +34,12 @@ AMATERASU is an enterprise-grade private AI platform. Built on AWS Bedrock and G
- Flexible scaling

### Infrastructure as Code
- Fully automated deployment with Terraform
- Fully automated deployment using Terraform
- Environment-specific configuration management
- Version-controlled configuration

### GitLab Integration
- Enhanced version control, CI/CD pipelines, and project management
- Enhanced version control, CI/CD pipelines, and project management features
- Integration with self-hosted GitLab instances
- LLM-powered merge request analysis
- Automated labeling using GitLab webhooks
Expand All @@ -57,7 +58,7 @@ graph TB
end

subgraph "Fargate-based Service"
PP["Prompt Pandora<br/>Prompt Generation Assistance"]
PP["Prompt Pandora<br/>Prompt Generation Support"]
ECS["ECS Fargate Cluster"]
end
end
Expand Down Expand Up @@ -109,26 +110,29 @@ graph TB
### 4. GitLab (Version Control)
- Self-hosted GitLab instance
- Project and code management
- CI pipeline and Runner configuration
- CI pipeline and runner configuration
- Backup and restore functionality

### 5. FG-prompt-pandora (Fargate Sample Application)
- Auto-scaling on AWS Fargate
- Prompt generation using Claude-3.5-Sonnet
- Intuitive UI based on Streamlit

## 🆕 Latest News
## 🆕 What's New

### AMATERASU v1.12.0 (Latest Release)
### AMATERASU v1.13.0 (Latest Release)

- 🎉 **Added Terraform Variable Generator Web App**: A web application to assist in the automatic generation of `terraform.tfvars` files has been added. It automatically detects projects with a `main-infrastructure` directory and enables the bulk generation of common and project-specific individual settings. (commit: b9b2c59)
- 🎉 Numerous other new features and improvements (commit: 4441658, 70c69bc, 54ca945, 337eb64, 0ad4f8e, 6b8c544, b1c473d, a8360f0)
- 🚀 **UI Component Package Organization**: The `utils/ui_components` package has been reorganized to simplify module imports.
- 🎉 UI style of the Streamlit app defined with CSS: A more refined design.
- 🎉 Improved setup script: Enhanced error handling.
- 🎉 Terraformization of the Langfuse backend infrastructure: More robust and manageable infrastructure.
- 🎉 Updated CloudFront infrastructure documentation: Updated to the latest information.
- 🎉 Added Streamlit progress bar display: Progress of file generation can now be monitored.
- ⚠️ Significant infrastructure changes: Back up your existing infrastructure and settings before upgrading.


## 🛠️ How to Use
## 🛠️ Usage

Refer to the individual README files for instructions on using each component. Specifically, for instructions on using the Terraform variable generator web app, see `spellbook/tfvars_generator/README.md`.
Refer to the README file for each component for usage instructions. Specifically, for instructions on using the Terraform variable generator web app, see `spellbook/tfvars_generator/README.md`.


## 📦 Installation Instructions
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