Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · AI
semantic-model-router
Smart LLM Router — routes every query to the cheapest capable model. Supports 17 models across Anthropic, OpenAI, Google, DeepSeek & xAI (Grok). Uses a pre-t...
skill openclawclawhub Free
Smart LLM Router — routes every query to the cheapest capable model. Supports 17 models across Anthropic, OpenAI, Google, DeepSeek & xAI (Grok). Uses a pre-t...
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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
- scripts/model_router.py, scripts/model_weights.py, scripts/requirements.txt, 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
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.3
Provenance
- Publisher
- rayray1218
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Semantic Model Router
Smart LLM router that saves up to 99% on inference costs by routing each request to the cheapest model that can handle it. Powered by a pre-trained ML classifier and semantic embeddings — no external calls, no API keys needed.
Install
openclaw plugins install @rayray1218/semantic-model-router
Quick Start
from scripts.model_router import ModelRouter router = ModelRouter() res = router.route("Design a distributed caching layer for a fintech platform.") print(res["report"]) # [ClawRouter] anthropic/claude-sonnet-4-6 (ELITE, ml, conf=0.97) # Cost: $3.0/M | Baseline: $10.0/M | Saved: 70.0%
How Routing Works
Queries are classified into three tiers through a 3-stage pipeline: ML Classifier (primary): A Logistic Regression model trained on 6,000+ labeled queries. Runs in <1ms from embedded weights in model_weights.py. Semantic Embeddings (fallback): Cosine similarity to tier intent vectors via sentence-transformers. Keyword Rules (last resort): Pattern matching with no dependencies. TierDefault ModelTypical WorkloadCost/1Mvs BaselineBASICdeepseek/deepseek-chatGreetings, simple Q&A, chit-chat$0.1499% savedBALANCEDopenai/gpt-4o-miniSummaries, translations, explanations$0.1599% savedELITEanthropic/claude-sonnet-4-6Complex coding, architecture, security$3.0070% saved
Anthropic
ModelInput /1MOutput /1Manthropic/claude-sonnet-4-6$3.00$15.00 ★ ELITE defaultanthropic/claude-opus-4-5$5.00$25.00anthropic/claude-haiku-4-5$0.80$4.00
OpenAI
ModelInput /1MOutput /1Mopenai/gpt-5$1.25$10.00openai/gpt-4o$2.50$10.00openai/gpt-4o-mini$0.15$0.60 ★ BALANCED defaultopenai/o3$2.00$8.00openai/o4-mini$1.10$4.40
ModelInput /1MOutput /1Mgoogle/gemini-3.0-pro$1.25$10.00google/gemini-2.5-pro$1.25$10.00google/gemini-2.5-flash$0.30$2.50google/gemini-2.5-flash-lite$0.10$0.40
DeepSeek
ModelInput /1MOutput /1Mdeepseek/deepseek-chat (V3.2)$0.28$0.42 ★ BASIC defaultdeepseek/deepseek-reasoner (V3.2)$0.28$0.42
xAI (Grok)
ModelInput /1MOutput /1Mxai/grok-3$3.00$15.00xai/grok-3-mini$0.30$0.50 Pricing source: Official API docs of each provider, verified Feb 2026.
Override Models at Runtime
# Use GPT-5.2 for ELITE, Gemini Flash Lite for BASIC router = ModelRouter( elite_model="openai/gpt-5.2", balanced_model="google/gemini-2.5-flash", basic_model="google/gemini-2.5-flash-lite", ) # Swap a tier's model without recreating the router router.set_model("ELITE", "anthropic/claude-opus-4-5")
List All Available Models (CLI)
python3 scripts/model_router.py --list-models
CLI Usage
# Route a single query python3 scripts/model_router.py "Implement AES encryption from scratch" # Override ELITE model python3 scripts/model_router.py --elite openai/gpt-5.2 "Write a compiler" # Run full smoke-test python3 scripts/model_router.py
Dynamic Keyword Expansion
router.add_keywords("ELITE", ["cryptographic proof", "zero-knowledge"])
Example Output
Query Predicted Expected ✓ Cost Info ──────────────────────────────────────────────────────────────────────────────────── How are you doing today? BASIC BASIC ✓ $0.14/M saved 98.6% Summarize this article in three bullet points. BALANCED BALANCED ✓ $0.15/M saved 98.5% Implement a thread-safe LRU cache in Python. ELITE ELITE ✓ $3.0/M saved 70.0%
Security & Privacy
Zero external calls: All classification runs locally. No API keys: The router itself needs none. Transparent weights: All model parameters live in scripts/model_weights.py — fully auditable. Save costs, route smarter. Built for the OpenClaw community.
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
2 Scripts1 Docs1 Files
- SKILL.md
- scripts/model_router.py
- scripts/model_weights.py
- scripts/requirements.txt