# Model Routing Optimizer AI Agent Connect

> A deterministic engine for selecting the optimal LLM based on cost, quality, and latency.

## Overview
- **Category:** optimization
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_lqhTC33Cq1o4ZRm8NaTRR7BbX8ysjmIOVlEkpHdc/ai-agent-connect
- **Tags:** llm, routing, cost-optimization, quality-assurance, automation

## Description

This MCP server provides a deterministic decision engine to select the best Large Language Model (LLM) for any given task. By analyzing available models against specific requirements, it uses strategies like `quality_first`, `cost_first`, or `balanced` to find the ideal match. You can use `route_request` to determine the best model for a specific complexity level, `get_model_catalog` to view supported models, and `calculate_batch_accuracy` to evaluate historical performance. It automatically flags potential issues like `INSUFFICIENT_QUALITY` or `SLA_VIOLATION` based on your defined thresholds.

## Tools

### calculate_batch_accuracy
Evaluates the historical performance of the routing engine

### get_model_catalog
Retrieves the static list of models currently supported by the optimizer

### route_request
Determines the single best model to handle a specific task based on the selected strategy

## Prompt Examples

**Prompt:** 
```
Find the best model for a task with complexity 8 using the balanced strategy.
```

**Response:** 
```
The selected model is GPT-4o with an expected cost of $0.015 and an expected latency of 2.5 seconds.
```

**Prompt:** 
```
Which model should I use if I want the lowest possible cost for a simple task?
```

**Response:** 
```
The model selected using the cost_first strategy is Haiku with a cost of $0.0002 per token.
```

**Prompt:** 
```
Check the current list of available models.
```

**Response:** 
```
The current catalog includes Elite Tier models like GPT-4o, Efficient Tier models like Claude 3.5 Sonnet, and Economy Tier models like Llama 3.
```

## Frequently Asked Questions

**How does the routing strategy work?**
The engine uses three strategies: `quality_first` picks the highest quality model, `cost_first` picks the cheapest, and `balanced` picks the best quality-to-cost ratio.

**What is Quality Sufficiency?**
It is a metric that compares the selected model's quality score against the task's complexity. If the score is too low, the system flags an `INSUFFICIENT_QUALITY` warning.

**Can I set a maximum latency limit?**
Yes, you can provide an `slaThreshold` to the `route_request` tool. If the estimated latency exceeds this, an `SLA_VIOLATION` flag is raised.