Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Multi-model automatic fallback system
Multi-model automatic fallback system. Monitors model availability and automatically falls back to backup models when the primary model fails. Supports MiniM...
skill openclawclawhub Free
Multi-model automatic fallback system. Monitors model availability and automatically falls back to backup models when the primary model fails. Supports MiniM...
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
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Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- azure5100
- Source page
- View original listing
- Canonical URL
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Documentation
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
ProviderModelContextUse CaseMiniMaxM2.5200KPrimary (reasoning)MiniMaxM2.1200KBackupKimiK2.5256KLong documentsKimiK2128KStandardZhipuGLM-4-Air128KLow costZhipuGLM-4-Flash1MHigh volume
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
VariableRequiredDescriptionMODEL_FALLBACK_ENABLEDNoEnable/disable fallback (default: true)MODEL_FALLBACK_LOG_LEVELNoLog level: debug, info, warn, error
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/model-fallback.sh --force-next # Check current model status /scripts/model-fallback.sh --status # Reset to primary model /scripts/model-fallback.sh --reset
Configuration
Edit config.json to customize the fallback chain: { "fallback_chain": [ {"provider": "...", "model": "...", "priority": 1} ], "health_check": { "enabled": true, "interval_seconds": 300 } }
How It Works
1. User makes request with primary model 2. Model call fails (error, timeout, rate limit) 3. Skill detects failure 4. Wait 3 seconds (debounce) 5. Switch to next model in chain 6. Retry request with new model 7. If successful, return result 8. If failed, repeat steps 4-7 9. If all models fail, return error with details
Fallback Triggers
TriggerConditionActionAPI UnavailableConnection timeoutFallbackRate Limit429 responseFallback + waitSlow Response> timeout secondsFallbackInvalid ResponseParse errorFallbackAuth Error401/403 responseLog + stop
Logging
Logs are written to: ~/.openclaw/logs/model-fallback.log
Log Format
[2026-02-27 14:00:00] [INFO] Primary model MiniMax-M2.5 called [2026-02-27 14:00:05] [WARN] Model failed: rate limit exceeded [2026-02-27 14:00:05] [INFO] Falling back to Kimi K2.5 [2026-02-27 14:00:10] [INFO] Fallback successful
Cost Optimization
Use cheaper models for simple tasks: { "task_routing": { "simple_query": ["glm-4-air", "glm-4-flash"], "complex_reasoning": ["MiniMax-M2.5", "kimi-k2.5"], "long_context": ["kimi-k2.5", "MiniMax-M2.1"] } }
OpenClaw Configuration
Add to openclaw.json: { "models": { "mode": "merge", "fallback": { "enabled": true, "config": "~/.openclaw/skills/model-fallback/config.json" } } }
Health Check
Integrate with system health monitoring: # Check model health curl http://localhost:18789/api/models/health
Fallback Not Working
Check if fallback is enabled: echo $MODEL_FALLBACK_ENABLED Verify config exists: ls ~/.openclaw/skills/model-fallback/config.json Check logs: tail -f ~/.openclaw/logs/model-fallback.log
Models Always Failing
Check API keys are valid Verify network connectivity Check rate limits on provider dashboard
Example 1: Simple Fallback
User: "Hello" System: Using MiniMax-M2.5... System: Rate limited, switching to Kimi K2.5... System: Response from Kimi K2.5: "Hello! How can I help?"
Example 2: Cost Optimization
User: "What is 2+2?" System: Routing to glm-4-air (low cost)... System: Response: "2+2=4"
Example 3: Long Document
User: "Summarize this 100-page PDF" System: Detected long context requirement System: Routing to Kimi K2.5 (256K context)... System: Processing...
License
MIT
Author
CC (AI Assistant)
Version
1.0.0
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs
- SKILL.md