Vector
Your smart routing brain buddy
3 followers
Your smart routing brain buddy
3 followers
Vector is a routing platform that intelligently directs your prompts model requests to the most cost-effective provider while maintaining quality standards. By implementing smart model selection based on query complexity, domain sensitivity, and risk assessment, vector helps organizations reduce their AI infrastructure costs by up to 70% without sacrificing response quality. As of today it supports the Text and Image generation.
Vector – Stop Hardcoding Your LLM. Route Intelligently.
The Problem:
You're building with LLMs, but you're stuck choosing ONE model. GPT-4 for everything? Expensive. Claude for everything? Overkill for simple tasks. Switching models manually? A nightmare.
The Solution:
Vector evaluates every prompt in real-time and routes it to the best-fit model—balancing quality, speed, and cost automatically.
How it works:
Configure your model pool – Connect OpenAI, Anthropic, Gemini, Groq, local Ollama models, or any provider
Set your boundaries – Define escalation rules, cost limits, and capability requirements
Send prompts – Vector analyzes complexity, domain, and risk, then routes to the optimal model
Why it matters:
💰 Cut costs 40-70% by using smaller models for simple queries
⚡ Faster responses when GPT-4 isn't needed
📊 Full visibility – See exactly why each model was chosen
Built for production teams:
Real-time routing decisions
Usage tracking & billing built-in
Web search mode for grounded answers
Code mode with syntax awareness
🎯 Currently in public beta!
We're looking for early adopters who are tired of overpaying for AI or manually juggling multiple providers.
👉 Try it: https://vector.enginora.com/
👉 Join waitlist for updates: https://docs.google.com/forms/d/e/1FAIpQLSd6emMmzPyspTZuUDM4i03wWIGVbqFUKPM4NNCU7ZlOnr-wJw/viewform
What model routing challenges are you facing? Would love to hear your feedback! 🙌https://vector.enginora.com/#feedback
Vector is an intelligent LLM routing layer that sends each prompt to the most capable model while optimizing for cost — instead of blindly hitting a predefined default.
Users can configure which models they want to use, and the routing engine dynamically selects from that pool based on the task.
It includes a comprehensive monitoring dashboard that provides clear visibility into usage, performance, and cost for full transparency.
Vector is plug-and-play for any application that needs multi-LLM routing. Developers can integrate it easily via APIs.
Vector integrates with multiple LLM providers and exposes them through a unified routing engine.
Instead of defaulting to a single model, it dynamically selects the most suitable option from the configured pool to reduce cost while maintaining output quality.