clawrouter
Smart LLM routing for cost optimization. Routes tasks to the cheapest capable model: free models (OpenRouter Llama 70B, AkashML Qwen 30B) for simple tasks like token scanning and data fetching, MiniMax M2.5 for complex reasoning, scoring, and outreach drafting.
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- Dépôt
- buzzbysolcex/buzz-bd-agent
- Dernière activité de la source
- 18 mai 2026 à 02:11
- Langue détectée de SKILL.md
- anglais
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- 5
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- 2
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SKILL.md
Instructions source · Aperçu en lecture seule- name
- clawrouter
- description
- Smart LLM routing for cost optimization. Routes tasks to the cheapest capable model: free models (OpenRouter Llama 70B, AkashML Qwen 30B) for simple tasks like token scanning and data fetching, MiniMax M2.5 for complex reasoning, scoring, and outreach drafting.
- metadata
- {"openclaw":{"emoji":"🔀","requires":{}}}
# ClawRouter — Smart LLM Task Routing
You have access to multiple LLM providers at different cost tiers. Route tasks to the cheapest capable model to minimize costs while maintaining quality.
## Available Models (Cost Tiers)
### Tier 1 — FREE (use for simple tasks)
- `openrouter/meta-llama/llama-3.3-70b-instruct:free` (alias: Llama70B)
- Best for: data fetching, token scanning, simple summaries, status checks
- Switch: `/model Llama70B`
- `akashml/Qwen/Qwen3-30B-A3B` (alias: Qwen30B)
- Best for: backup free model, simple text tasks
- Switch: `/model Qwen30B`
### Tier 2 — PAID (use for complex tasks)
- `minimax/MiniMax-M2.5` (alias: MiniMax)
- Best for: complex reasoning, BD scoring, outreach drafts, multi-step analysis
- Switch: `/model MiniMax`
## Routing Rules
When spawning sub-agents or handling tasks, apply these routing rules:
### Route to FREE models (Llama70B first):
- DexScreener token scanning
- Basic data fetching and API calls
- Simple summaries and formatting
- Status checks and health monitoring
- Cron heartbeat tasks
- Contract address lookups
- Market data aggregation
### Route to PAID model (MiniMax):
- BD prospect scoring (requires nuanced judgment)
- Outreach email/message drafting (tone matters)
- Complex multi-step analysis
- Strategic recommendations
- Pipeline prioritization decisions
- Partnership evaluation
## How to Route
Before executing a task, assess its complexity:
1. **Simple data task?** → Switch to Llama70B, execute, switch back
2. **Complex reasoning?** → Stay on MiniMax
3. **Sub-agent spawn?** → Sub-agents currently use MiniMax (auth limitation). For sub-agent cost optimization, keep sub-agent tasks focused and concise to minimize token usage.
## Cost Tracking
After completing tasks on free models, note the cost savings:
- Free model task = $0
- MiniMax task ≈ $0.001-0.01 per request
- Log routing decisions for optimization feedback
## Important Notes
- Sub-agents cannot yet use free models due to auth profile inheritance in v2026.2.19
- Main agent can freely switch between all 3 models via /model command
- Always switch back to MiniMax after completing free model tasks
- If a free model fails, fall back to MiniMax automatically
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