SkillHub

openclaw-plugin-ain

v0.11.2

集成 AIN 提供商至 OpenClaw,提供智能模型路由及提示执行与任务分类工具。

Sourced from ClawHub, Authored by Felipe Matos

Installation

Please help me install the skill `openclaw-plugin-ain` from SkillHub official store. npx skills add felipematos/openclaw-plugin-ain

AIN — AI Node Plugin for OpenClaw

Bridges the AIN provider registry, intelligent routing engine, and execution layer into the OpenClaw ecosystem.

What it does

  • Provider bridging — All AIN-configured providers (LM Studio, Ollama, OpenAI, vLLM, etc.) are automatically exposed to OpenClaw as ain:<name> providers
  • LLM tools — Two agent tools: ain_run (prompt execution with routing, structured output, fallback chains) and ain_classify (task type and complexity classification)
  • Routing hookbefore_model_resolve hook uses AIN's intelligent routing engine to automatically select the best model for each task based on policies and task classification

Installation

npm install openclaw-plugin-ain

Requires @felipematos/ain-cli (installed as a dependency).

Configuration

In your OpenClaw config:

{
  "plugins": {
    "ain": {
      "enableRouting": true,
      "routingPolicy": "local-first",
      "exposeTools": true
    }
  }
}

Options

Option Type Default Description
configPath string ~/.ain/config.yaml Path to AIN config file
enableRouting boolean true Enable intelligent model routing
routingPolicy string Named routing policy from AIN policies.yaml
exposeTools boolean true Expose ain_run and ain_classify tools to agents

Tools

ain_run

Execute an LLM prompt through AIN's execution engine with full support for routing, structured output, and fallback chains.

Parameters: - prompt (string, required) — The prompt to execute - provider (string) — Provider name - model (string) — Model ID or alias - jsonMode (boolean) — Request JSON output - schema (object) — JSON Schema for output validation - system (string) — System prompt - temperature (number) — Sampling temperature

Returns: { output, provider, model, usage, parsedOutput }

ain_classify

Classify a prompt's task type and estimate its complexity.

Parameters: - prompt (string, required) — The prompt to classify

Returns: { taskType, complexity }

Task types: classification, extraction, generation, reasoning, unknown Complexity: low, medium, high

Routing

When enableRouting is true, the plugin registers a before_model_resolve hook that analyzes incoming prompts and selects the optimal model based on:

  • Task classification (classification/extraction → fast tier, generation → general tier, reasoning → reasoning tier)
  • Routing policies defined in ~/.ain/policies.yaml
  • Model tags and tier configuration

Requirements

  • Node.js >= 18
  • AIN configured with at least one provider (ain config init && ain providers add ...)
  • OpenClaw >= 1.0.0

License

MIT