AI ROUTING
Route each AI task to the model that fits it.
ELTEX AI Plan is a capacity-based AI router subscription for chat, coding, research, and agent workflows. Instead of manually choosing a provider for every request, teams send work through one model-aware layer.
DEFINITION
What is an AI router?
An AI router is a layer that sends each AI request to a suitable model or provider based on policy. It can consider the task, complexity, quality target, latency tolerance, capacity, and availability before selecting a route.
ROUTING FLOW
How ELTEX routing works
- Classify the task.ELTEX considers task type, complexity, coding needs, context length, tools, and routing risk.
- Select a route.Efficient models suit routine work; stronger models are reserved for tasks where quality or reasoning matters more.
- Protect capacity.Routing, context compression, caching, and concise-output controls help reduce unnecessary usage.
WHEN TO USE IT
When a multi-model router is useful
- Teams use different models for coding, writing, research, and automation.
- Applications need a consistent OpenAI-compatible API instead of many provider integrations.
- Cost, latency, and availability need to be balanced without making each user choose a model.