# genpark-multi-model-cost-latency-router-skill

> genpark-multi-model-cost-latency-router-skill — alpha-park-genpark-multi-model-cost-latency-router-skill. Use this tool when you need to optimize the performance of large language models (LLMs) by dynamically routing intents to the most suitable model based on latency and cost constraints. It solves problems of inefficient resource allocation and suboptimal model selection, providing a Pareto optimal solution from a pool of 70+ LLMs. The tool takes in intent and budget inputs and outputs the selected model, making it ideal for applications requiring real-time, cost-effective, and low-latency language processing.

Canonical page: https://skillsregistry.net/skills/alpha-park-genpark-multi-model-cost-latency-router-skill  
JSON: https://api.skillsregistry.net/v1/skills/alpha-park-genpark-multi-model-cost-latency-router-skill

## Description

Dynamic intent and budget-aware multi-model Pareto router selecting from 70+ LLMs

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Alpha-Park/genpark-multi-model-cost-latency-router-skill)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "alpha-park-genpark-multi-model-cost-latency-router-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alpha-park-genpark-multi-model-cost-latency-router-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alpha-park-genpark-multi-model-cost-latency-router-skill/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt