OpenClaw

llmcouncil-router

Route any prompt to the best-performing LLM using peer-reviewed council rankings from LLM Council

ashtiwariasu0 来源安装数☆ 0 仓库 Stars

查看来源 ↗安装与使用 SKILL.md ↗

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求，再添加到工作流。

SkillHub CLI

skillhub install ashtiwariasu/llmcouncil-router

打开来源仓库，查看说明和兼容环境后，按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent，让它先读取说明、核对依赖，并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

LLM Council Router

Route any prompt to the best-performing LLM. The API finds the top model for a given query based on thousands of peer-reviewed council deliberations — then you call that model directly.

Base URL

https://clawbot.llmcouncil.ai

Authentication

Use the X-API-Key header with your LLM Council API key.

X-API-Key: clwb_YOUR_KEY_HERE

Get a free key at llmcouncil.ai/developers.

Endpoint: POST /v1/route

Find the best-performing model for a query.

Request

{
  "query": "Explain quantum entanglement simply",
  "k": 20
}

Field	Type	Required	Description
`query`	string	Yes	The prompt or question to route
`k`	integer	No	Number of past evaluations to consider (default: 20)

Response

{
  "query": "Explain quantum entanglement simply",
  "nearest_councils": 20,
  "model": "anthropic/claude-sonnet-4",
  "relevance": 0.8234,
  "confidence": 0.65,
  "model_rankings": [
    { "rank": 1, "model": "anthropic/claude-sonnet-4", "nearby_wins": 13, "nearby_appearances": 20 },
    { "rank": 2, "model": "openai/gpt-4.1", "nearby_wins": 5, "nearby_appearances": 18 }
  ]
}

Field	Type	Description
`model`	string	Top recommended model ID (matches OpenRouter catalogue)
`relevance`	float (0–1)	How closely matched evaluations relate to your query. Above 0.75 is strong.
`confidence`	float (0–1)	How decisively the top model outperforms alternatives. Higher = clearer winner.
`nearest_councils`	integer	Number of relevant past evaluations used
`model_rankings`	array	All models ranked by performance across matched evaluations

How to use this skill

When the user asks you to find the best model for a task, or when you need to decide which LLM to use:

Call the routing API with the user's query:

curl -X POST https://cla...

来源信息

Source: github
Repository: openclaw/skills
Path: skills/ashtiwariasu/llmcouncil-router
Version: —
Commit: d7b19bf245c82b9552b3ed8b1e3ffa23973efd2f
分类来源: rules
状态: active
可见性: public

这些信息来自收录时的来源分析，可能滞后；使用前请核对最新来源文件。

来源内容

SKILL.md

# LLM Council Router

Route any prompt to the best-performing LLM. The API finds the top model for a given query based on thousands of peer-reviewed council deliberations — then you call that model directly.

## Base URL

```
https://clawbot.llmcouncil.ai
```

## Authentication

Use the `X-API-Key` header with your LLM Council API key.

```
X-API-Key: clwb_YOUR_KEY_HERE
```

Get a free key at [llmcouncil.ai/developers](https://llmcouncil.ai/developers).

## Endpoint: POST /v1/route

Find the best-performing model for a query.

### Request

```json
{
  "query": "Explain quantum entanglement simply",
  "k": 20
}
```

| Field | Type | Required | Description |
|-------|------|----------|-------------|
| `query` | string | Yes | The prompt or question to route |
| `k` | integer | No | Number of past evaluations to consider (default: 20) |

### Response

```json
{
  "query": "Explain quantum entanglement simply",
  "nearest_councils": 20,
  "model": "anthropic/claude-sonnet-4",
  "relevance": 0.8234,
  "confidence": 0.65,
  "model_rankings": [
    { "rank": 1, "model": "anthropic/claude-sonnet-4", "nearby_wins": 13, "nearby_appearances": 20 },
    { "rank": 2, "model": "openai/gpt-4.1", "nearby_wins": 5, "nearby_appearances": 18 }
  ]
}
```

| Field | Type | Description |
|-------|------|-------------|
| `model` | string | Top recommended model ID (matches OpenRouter catalogue) |
| `relevance` | float (0–1) | How closely matched evaluations relate to your query. Above 0.75 is strong. |
| `confidence` | float (0–1) | How decisively the top model outperforms alternatives. Higher = clearer winner. |
| `nearest_councils` | integer | Number of relevant past evaluations used |
| `model_rankings` | array | All models ranked by performance across matched evaluations |

## How to use this skill

When the user asks you to find the best model for a task, or when you need to decide which LLM to use:

1. **Call the routing API** with the user's query:

```bash
curl -X POST https://cla...

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