rrwa-a2a-

By-Lucas

Project inicial RRWA + A2A+ Platform (React + FastAPI + LangChain + Gemini + Docker + EKs)

Overview

What is rrwa-a2a-

rrwa-a2a- is a modular and highly scalable platform designed for data automation, integration, extraction, and intelligent orchestration, utilizing advanced technologies such as React, FastAPI, LangChain, and Google Gemini.

How to Use

To use rrwa-a2a-, configure your environment by creating a .env file with the necessary API keys, set up the backend using FastAPI, and run the frontend with React. Access the backend at http://localhost:8000/docs and the frontend at http://localhost:3000.

Key Features

Key features include pluggable agents for scraping and AI classification, dynamic workflows with customizable pipelines, execution via API or web interface, and seamless integration with AI and NLP technologies.

Where to Use

rrwa-a2a- can be used in various fields such as data science, business intelligence, automation of workflows, and integration of AI solutions in applications.

Use Cases

Use cases include automating data extraction from websites, integrating AI-driven insights into business processes, creating dynamic data workflows for reporting, and enhancing user interactions through intelligent orchestration.

Content

> 🇧🇷 **Prefer Portuguese?** [Clique aqui para ler em português](./README.pt-BR.md) # RRWA + A2A+ Platform **Revolutionize data automation.** A modular and **highly scalable** platform designed for automation, integration, extraction, and intelligent orchestration of data — with pluggable agents, dynamic workflows, and cutting-edge AI integration. --- ## 🚀 Technologies Used * **Frontend:** React 18 + TypeScript + Vite * **Backend:** FastAPI (Python 3.11+) * **Orchestration & AI:** LangChain, native integration with Google Gemini (NLP Generative AI) * **Infrastructure:** Docker, Docker Compose, Kubernetes-ready * **APIs & Dev:** OpenAPI, Swagger, Prettier, ESLint * **Deploy:** CI/CD ready, cloud-ready (DigitalOcean, AWS, GCP) --- ## How to Run the Project ### 1. Secrets Configuration To use advanced AI agents (Gemini), **you need a Google Gemini API token**. Create a `.env` file inside the `backend/` folder: ``` GEMINI_API_KEY=SEU_TOKEN_DO_GEMINI ``` * For LangChain and other providers, add additional environment variables as per the official documentation. ### 2. Backend (FastAPI) ```bash cd backend cd backend python3.11 -m venv .venv source .venv/bin/activate pip install -r requirements.txt uvicorn app.api.main:app --host 0.0.0.0 --port 8000 --reload ``` Acesse: [http://localhost:8000/docs](http://localhost:8000/docs) ### 3. Frontend (React) ```bash cd frontend npm install npm run dev ``` Acesse: [http://localhost:3000](http://localhost:3000) ou [http://localhost:5173](http://localhost:5173) --- ## Funcionalidades principais * **Agentes Plugáveis:** scraping, classificação via IA, integração fácil. * **Workflows Dinâmicos:** pipelines customizados, steps arrastáveis, robustez e flexibilidade. * **Execução por API ou Interface Web:** controle total para times técnicos e não técnicos. * **OpenAPI/Swagger:** documentação pronta, integração com Zapier/Make. * **Integração IA & NLP:** uso real de LangChain, Google Gemini, NLP generativo, prompts customizados, automação de análise textual em escala. * **Escalabilidade real:** projeto pronto para cloud-native (Docker/Kubernetes), facilmente replicável e preparado para produção. --- ## Contato e Comunidade * WhatsApp: [Clique aqui para falar](https://wa.me/74981199190) * LinkedIn: [Seu LinkedIn](https://linkedin.com/in/lucastk) * GitHub: [Seu GitHub](https://github.com/By-Lucas) * Email: [tekertudo@gmail.com](mailto:tekertudo@gmail.com) --- Projeto desenvolvido por **TK Global Technology** — v1.0 © 2025

rrwa-a2a-

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Overview

What is rrwa-a2a-

How to Use

Key Features

Where to Use

Use Cases

Content

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