name: xclawrouter description: Smart LLM router for OKX — agentic wallet, 55+ models, x402 micropayments on Base + Solana. Routes every request to the cheapest capable model. 11 free NVIDIA models included. triggers: - "xclawrouter" - "x claw router" - "@blockrun/xclawrouter" - "okx llm router" - "okx ai gateway" - "okx agentic wallet" - "onchainos" - "okx onchainos" - "okx x402" - "save on llm costs okx" - "cheapest model okx" homepage: https://github.com/BlockRunAI/XClawRouter metadata: { "openclaw": { "emoji": "🦀", "requires": { "config": ["models.providers.blockrun"] } } }
XClawRouter
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/xclawrouter
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
XClawRouter 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-5.5, gpt-5.4, gpt-4o, o3, claude-opus-4.8, claude-opus-4.7, claude-sonnet-4.6, gemini-3.1-pro, gemini-3.5-flash, deepseek-v4-pro, deepseek-chat, grok-4.3, grok-build-0.1, kimi-k2.6, kimi-k2.5, and free NVIDIA-hosted models (gpt-oss-120b [default], gpt-oss-20b, deepseek-v4-flash, qwen3-coder-480b, llama-4-maverick, nemotron-3-nano-omni-30b-a3b-reasoning [vision]).
Example Output
[XClawRouter] google/gemini-2.5-flash (SIMPLE, rules, confidence=0.92)
Cost: $0.0025 | Baseline: $0.308 | Saved: 99.2%