ReddRadar
Agent skill
clawrouter
Smart LLM router — save 67% on inference costs. Routes every request to the cheapest capable model across 55+ models from OpenAI, Anthropic, Google, DeepSeek, xAI, NVIDIA, and more. 11 free NVIDIA models included.
Install this agent skill to your Project
npx add-skill https://github.com/BlockRunAI/ClawRouter/tree/main/skills/clawrouter
Metadata
Additional technical details for this skill
- openclaw
-
{ "emoji": "\ud83e\udd80", "requires": { "config": [ "models.providers.blockrun" ] } }
SKILL.md
ClawRouter
Smart LLM router that saves 67% on inference costs by routing each request to the cheapest model that can handle it. 55+ models across 9 providers (11 free NVIDIA models), all through one wallet.
Install
openclaw plugins install @blockrun/clawrouter
Setup
# Enable smart routing (auto-picks cheapest model per request)
openclaw models set blockrun/auto
# Or pin a specific model
openclaw models set openai/gpt-4o
How Routing Works
ClawRouter classifies each request into one of four tiers:
- SIMPLE (40% of traffic) — factual lookups, greetings, translations → Gemini Flash ($0.60/M, 99% savings)
- MEDIUM (30%) — summaries, explanations, data extraction → DeepSeek Chat ($0.42/M, 99% savings)
- COMPLEX (20%) — code generation, multi-step analysis → Claude Opus ($75/M, best quality)
- REASONING (10%) — proofs, formal logic, multi-step math → o3 ($8/M, 89% savings)
Rules handle 80% of requests in <1ms. Only ambiguous queries hit the LLM classifier ($0.00003 per classification).
Available Models
55+ models including: gpt-5.4, gpt-4o, o3, claude-opus-4.6, claude-sonnet-4.6, gemini-3.1-pro, gemini-2.5-flash, deepseek-chat, grok-3, kimi-k2.5, and 11 free NVIDIA models (nemotron-ultra-253b, deepseek-v3.2, mistral-large-675b, qwen3-coder-480b, devstral-2-123b, llama-4-maverick, glm-4.7, gpt-oss-120b, gpt-oss-20b, nemotron-3-super-120b, nemotron-super-49b).
Example Output
[ClawRouter] google/gemini-2.5-flash (SIMPLE, rules, confidence=0.92)
Cost: $0.0025 | Baseline: $0.308 | Saved: 99.2%
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