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Clawd Throttle

Routes LLM requests to the cheapest capable model across 8 providers (Anthropic, Google, OpenAI, DeepSeek, xAI, Moonshot, Mistral, Ollama) and 25+ models. Scores prompts on 8 dimensions in under 1ms, supports three routing modes (eco, standard, gigachad), and logs all decisions for cost tracking.

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Routes LLM requests to the cheapest capable model across 8 providers (Anthropic, Google, OpenAI, DeepSeek, xAI, Moonshot, Mistral, Ollama) and 25+ models. Scores prompts on 8 dimensions in under 1ms, supports three routing modes (eco, standard, gigachad), and logs all decisions for cost tracking.

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Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Manual review
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
README.md, SKILL.md, data/classifier-weights.json, data/model-catalog.json, data/routing-table.json, package.json

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Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
2.0.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 7 sections Open source page

Clawd Throttle

Route every LLM request to the cheapest model that can handle it. Stop paying Opus prices for "hello" and "summarize this." Supports 8 providers and 25+ models: Anthropic (Claude), Google (Gemini), OpenAI (GPT / o-series), xAI (Grok), DeepSeek, Moonshot (Kimi), Mistral, and Ollama (local).

How It Works

Your prompt arrives The classifier scores it on 8 dimensions (token count, code presence, reasoning markers, simplicity indicators, multi-step patterns, question count, system prompt complexity, conversation depth) in under 1 millisecond The router maps the resulting tier (simple / standard / complex) to a model based on your active mode and configured providers The request is proxied to the correct API The routing decision and cost are logged to a local JSONL file

Routing Modes

ModeSimpleStandardComplexecoGrok 4.1 FastGemini FlashHaikustandardGrok 4.1 FastHaikuSonnetgigachadHaikuSonnetOpus 4.6 Each cell shows the first-choice model. The router tries a preference list and falls through to the next available provider if the first is not configured.

Available Commands

CommandWhat It Doesroute_requestSend a prompt and get a response from the cheapest capable modelclassify_promptAnalyze prompt complexity without making an LLM callget_routing_statsView cost savings and model distribution statsget_configView current configuration (keys redacted)set_modeChange routing mode at runtimeget_recent_routing_logInspect recent routing decisions

Overrides

Heartbeats and summaries always route to the cheapest model Type /opus, /sonnet, /haiku, /flash, or /grok-fast to force a specific model Sub-agent calls automatically step down one tier from their parent

Setup

Get at least one API key (Anthropic or Google required; others optional): Anthropic: https://console.anthropic.com/settings/keys Google AI: https://aistudio.google.com/app/apikey xAI: https://console.x.ai OpenAI: https://platform.openai.com/api-keys DeepSeek: https://platform.deepseek.com Moonshot: https://platform.moonshot.cn Mistral: https://console.mistral.ai Run the setup script: npm run setup Choose your routing mode (eco / standard / gigachad)

Privacy

Prompt content is never stored. Only a SHA-256 hash is logged. All data stays local in ~/.config/clawd-throttle/ API keys stored in your local config file

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
4 Config2 Docs
  • SKILL.md Primary doc
  • README.md Docs
  • data/classifier-weights.json Config
  • data/model-catalog.json Config
  • data/routing-table.json Config
  • package.json Config