One OpenAI-Compatible Router.
Every Frontier & Open-Source Model.
A single intelligent endpoint providing access to all frontier reasoning engines and top-tier open-source models. Zero rate-limit hang-ups, fully coding agent compatible (Cursor, Continue, Cline, Roo Code), with transparent billing — a monthly allowance from ₹499 or pure pay-for-what-you-consume credit from ₹99 (free 2K trial included).
One Intelligent Router for All Models
Send model as "auto". The router inspects request tokens, intent complexity, and real-time provider health to dispatch the optimal model with automatic 25% burn fallback.
Deep Reasoning & Math
Dispatches multi-step mathematical problems, algorithmic synthesis, and complex planning to frontier reasoning engines.
Agentic Programming
Specialized code models tuned for repository refactoring, bug isolation, type check validation, and CLI coding agents.
Ultra-Low Latency
Sub-second response stream for conversational bots, high-throughput classification, structured JSON extractions, and summaries.
Multimodal Vision & OCR
Processes UI screenshots, architectural diagrams, medical charts, and dense document OCR automatically.
Top 5 models in use right now
A monthly allowance. Overage at cost.
Pick a monthly plan for a large token allowance at a discount, and anything you use beyond it draws from wallet credit at the flat pay-as-you-go rate — so you are never cut off mid-build, and never billed for headroom you did not touch. Your first 2,000 tokens are free, no card required.
Pay For What You Consume — Zero Minimum Commitments
1st Recharge ₹99 • Then Pay Anything (₹50, ₹90+)Flat ₹99 per 1M tokens across every model (10,000 tokens per ₹1). Pay just ₹99 once to activate your API keys with 1,000,000 tokens. After that initial deposit, there are zero minimum charges — deposit ₹50, ₹90, or whatever you want! Tokens never expire.
Coding Agent & OpenAI SDK Compatible
Integrates out of the box with Cursor IDE, Continue.dev, Cline, Roo Code, LangChain, and the official OpenAI Python/Node.js SDKs. Just configure base URL.
from openai import OpenAI # Point client to your LLM Pool Proxy instance client = OpenAI( base_url="http://127.0.0.1:3001/v1", api_key="sk-live-your_custom_api_key" ) # The single router automatically shifts models based on quota & complexity response = client.chat.completions.create( model="auto", # Or target "auto-code", "auto-complex", "deepseek-v4-pro" messages=[ {"role": "user", "content": "Refactor this auth middleware to use ed25519 signatures"} ] ) print(response.choices[0].message.content)
// Cursor IDE / Continue.dev / Cline Custom Model Configuration
{
"models": [
{
"title": "LLM Pool Auto Router",
"provider": "openai",
"model": "auto-code",
"apiBase": "http://127.0.0.1:3001/v1",
"apiKey": "sk-live-your_custom_api_key"
}
]
}