rdai 1.0.1

One interface for resilient, multi-provider AI generation.

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🚀 rdai (Ranajit Dhar AI) - Multi-Brain AI Orchestrator

One Interface. Any AI. Unbreakable Auto-Failover.

Version: v1.0.1
👑 Created by: Ranajit Dhar
🌐 Website: https://ranajitdhar.in

rdai is a Quantum-Ready, Self-Healing AI Operating System and Python SDK. It allows you to call multiple AI models (Gemini, OpenAI, Claude, DeepSeek, and more) through one single, unified interface. It automatically discovers your API keys, selects the best provider based on your strategy, and features a limitless Circuit Breaker that silently auto-failovers to a backup provider when rate limits, crashes, or timeouts occur.

Zero downtime. 100% Reliability.

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✨ Key Features

• 🧠 11+ Built-in AI Brains: Native support for Gemini, OpenAI, Groq, Claude, DeepSeek, Qwen, Llama, Mistral, VertexAI, AWS Bedrock, and HuggingFace.
• ⚡ Unbreakable Auto-Failover: If your primary model crashes or hits a rate limit, the system instantly and silently routes the prompt to the next available model.
• 🛠️ Bring-Your-Own-Model (BYOM): Inject any custom/private AI API into the failover chain without changing the core framework.
• 🩺 Live Ping Diagnostics: The built-in CLI doctor actually pings the AI servers to report real-time ALIVE/ERROR status and latency.
• 🪄 Smart Auto-Setup: Automatically installs missing required SDKs in the background during initialization. Prevents accidental configuration overwrites.

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📦 Installation

pip install rdai
# Or if using local source: pip install -r requirements.txt

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🚦 Quick Start (The CLI Wizard)

rdai comes with a powerful CLI dashboard. To configure your multi-brain environment, simply run:

rdai init

This interactive wizard will let you select your AI providers, define your failover strategy, auto-install missing packages, and generate your .env and rdai.yaml files.

Next, add your API keys to the generated .env file:Code snippet

GEMINI_API_KEY=your_key_here
GROQ_API_KEY=your_key_here
OPENAI_API_KEY=your_key_here
# Add others as selected...

(Note: Your API keys are kept strictly local and secure. They are never hardcoded.)

Finally, verify your setup with the live diagnostic tool:

rdai doctor

The doctor will scan your .env file, ping the AI networks, and show you the real-time latency and health of your failover chain.

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💻 Python SDK Usage (Writing Code)

Using the SDK is incredibly simple. You don't need to learn 10 different SDKs; rdai standardizes everything.

from rdai import AI

# Initialize the AI Engine. It automatically loads your rdai.yaml strategy.
ai = AI()

# Send a prompt. If the first model fails, it silently falls back to the next!
response = ai.generate("Write a multi-agent orchestration script in Python.")
print(response)

Bring Your Own Model (BYOM)

Want to use a custom API? Inject it directly into the engine:

from rdai.providers.base import BaseProvider
from rdai import AI
import requests

class CustomNexusProvider(BaseProvider):
    def __init__(self, api_key):
        super().__init__(api_key, "nexus-v1")
        
    def generate(self, prompt: str, **kwargs) -> str:
        res = requests.post("[https://api.nexus.com/v1](https://api.nexus.com/v1)", headers={"Key": self.api_key}, json={"text": prompt})
        return res.json()["reply"]

# Inject your custom engine into the failover chain!
ai = AI(providers=[CustomNexusProvider(api_key="your_custom_key")])
print(ai.generate("Hello Custom Engine!"))

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⚙️ Routing Strategies & Configuration

rdai reads your setup from an optional rdai.yaml file in the current directory. Environment variables take precedence over values in .env

strategy: smart
provider_order:
  - gemini
  - openai
  - groq

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🧠 Routing Strategies

• smart: Selects a ready provider whose traits best fit the specific request.
• manual: Strictly follows the exact provider_order defined in your rdai.yaml.

Note: Both strategies retain the remaining ready providers as automatic fallbacks for transient rate-limit and timeout failures.

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🎛️ Supported AI Engines & Environment Keys

Provider Engine	Environment Variable	Backend Logic
Gemini	GEMINI_API_KEY	Modern google.genai SDK
OpenAI	OPENAI_API_KEY	Official openai SDK
Groq	GROQ_API_KEY	Official groq SDK
VertexAI	VERTEXAI_API_KEY	GCP Project ID via google.genai
Claude	CLAUDE_API_KEY	Direct Anthropic REST API
AWS Bedrock	AWS_BEDROCK_API_KEY	AWS boto3 SDK
DeepSeek	DEEPSEEK_API_KEY	Direct DeepSeek REST API
Qwen	QWEN_API_KEY	Alibaba DashScope REST API
Llama	LLAMA_API_KEY	Universal OpenAI-Compatible API
Mistral	MISTRAL_API_KEY	Direct Mistral REST API
HuggingFace	HUGGINGFACE_API_KEY	HF Serverless Inference API

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🛠️ Complete CLI Command Reference

• rdai init - Setup your workspace, strategies, and AI providers.
• rdai doctor - Run a live .env network scan and API health check.
• rdai config - View your active routing strategy and failover chain.
• rdai benchmark - Run a latency test across your active models.
• rdai health - Check overall internal system health and readiness.
• rdai about - Learn about the master orchestration architecture.

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Built with ❤️ for the next generation of unbreakable AI applications.