OpenClaw

model-fallback

Multi-model automatic fallback system. Monitors model availability and automatically falls back to backup models when the primary model fails. Supports MiniMax, Kimi, Zhipu and other OpenAI-compatible APIs. Use when: (1) Primary model API is unavailable, (2) Model response time is too slow, (3) Rate limit exceeded, (4) Need to optimize costs by using cheaper models for simple tasks.

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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 azure5100/model-fallback

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

Model Fallback Skill

Multi-model automatic fallback system for AI agents

Overview

This skill provides automatic model fallback functionality for OpenClaw agents. When the primary model fails (unavailable, slow, or rate-limited), it automatically switches to backup models in a predefined priority order.

Features

Automatic Fallback: Seamlessly switch to backup models on failure
Configurable Priority: Define your own model fallback order
Health Monitoring: Track model availability and response times
Cost Optimization: Use cheaper models for simple tasks
Logging: Full audit trail of fallback events

Supported Models

Provider	Model	Context	Use Case
MiniMax	M2.5	200K	Primary (reasoning)
MiniMax	M2.1	200K	Backup
Kimi	K2.5	256K	Long documents
Kimi	K2	128K	Standard
Zhipu	GLM-4-Air	128K	Low cost
Zhipu	GLM-4-Flash	1M	High volume

Configuration

Default Fallback Chain

{
  "fallback_chain": [
    {
      "provider": "minimax-portal",
      "model": "MiniMax-M2.5",
      "priority": 1,
      "timeout": 30,
      "max_retries": 3
    },
    {
      "provider": "moonshot",
      "model": "kimi-k2.5",
      "priority": 2,
      "timeout": 30,
      "max_retries": 2
    },
    {
      "provider": "zhipu",
      "model": "glm-4-air",
      "priority": 3,
      "timeout": 20,
      "max_retries": 2
    }
  ]
}

Environment Variables

Variable	Required	Description
`MODEL_FALLBACK_ENABLED`	No	Enable/disable fallback (default: true)
`MODEL_FALLBACK_LOG_LEVEL`	No	Log level: debug, info, warn, error

Usage

Basic Usage

The skill automatically handles model failures. No explicit calls needed.

# Trigger a model call (fallback happens automatically on failure)

Manual Fallback

# Force fallback to next model
/scripts/m...

来源信息

Source: github
Repository: openclaw/skills
Path: skills/azure5100/model-fallback
Version: —
Commit: b685472e29fcfeadfbc1f0b44a363e71d1f06cf9
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

# Model Fallback Skill

> Multi-model automatic fallback system for AI agents

## Overview

This skill provides automatic model fallback functionality for OpenClaw agents. When the primary model fails (unavailable, slow, or rate-limited), it automatically switches to backup models in a predefined priority order.

## Features

- **Automatic Fallback**: Seamlessly switch to backup models on failure
- **Configurable Priority**: Define your own model fallback order
- **Health Monitoring**: Track model availability and response times
- **Cost Optimization**: Use cheaper models for simple tasks
- **Logging**: Full audit trail of fallback events

## Supported Models

| Provider | Model | Context | Use Case |
|----------|-------|---------|----------|
| MiniMax | M2.5 | 200K | Primary (reasoning) |
| MiniMax | M2.1 | 200K | Backup |
| Kimi | K2.5 | 256K | Long documents |
| Kimi | K2 | 128K | Standard |
| Zhipu | GLM-4-Air | 128K | Low cost |
| Zhipu | GLM-4-Flash | 1M | High volume |

## Configuration

### Default Fallback Chain

```json
{
  "fallback_chain": [
    {
      "provider": "minimax-portal",
      "model": "MiniMax-M2.5",
      "priority": 1,
      "timeout": 30,
      "max_retries": 3
    },
    {
      "provider": "moonshot",
      "model": "kimi-k2.5",
      "priority": 2,
      "timeout": 30,
      "max_retries": 2
    },
    {
      "provider": "zhipu",
      "model": "glm-4-air",
      "priority": 3,
      "timeout": 20,
      "max_retries": 2
    }
  ]
}
```

### Environment Variables

| Variable | Required | Description |
|----------|----------|-------------|
| `MODEL_FALLBACK_ENABLED` | No | Enable/disable fallback (default: true) |
| `MODEL_FALLBACK_LOG_LEVEL` | No | Log level: debug, info, warn, error |

## Usage

### Basic Usage

The skill automatically handles model failures. No explicit calls needed.

```bash
# Trigger a model call (fallback happens automatically on failure)
```

### Manual Fallback

```bash
# Force fallback to next model
/scripts/m...

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