Vector
Your smart routing brain buddy
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DTechie007

Vector - Your smart routing brain buddy

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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.

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DTechie007
Maker
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vector was born from the frustration of constantly switching between Claude, ChatGPT, and Gemini—juggling multiple tabs while manually deciding which model to use for each query. None of these platforms selected models based on capability or cost; they just used whatever you picked or defaulted to the most expensive option. AIRouter solves this by automatically routing your queries to the most cost-effective model that meets the complexity requirements—no more manual model selection, no more overpaying for simple tasks.
DTechie007
Maker

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.

DTechie007
Maker

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.

DTechie007
Maker

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:

  1. Configure your model pool – Connect OpenAI, Anthropic, Gemini, Groq, local Ollama models, or any provider

  2. Set your boundaries – Define escalation rules, cost limits, and capability requirements

  3. 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