Discover and explore top open-source AI tools and projects—updated daily.
BlockRunAISmart LLM routing for cost optimization
New!
Top 17.8% on SourcePulse
This project addresses the high cost of Large Language Model (LLM) inference by providing an intelligent, automated routing system. It targets developers building LLM-powered agents and applications, enabling significant cost savings (up to 96%) and simplifying API key management through a unified wallet and per-request payment system.
How It Works
The core of ClawRouter is its client-side, 14-dimension weighted scoring engine that analyzes prompts in under 1ms. This engine evaluates factors like reasoning markers, code presence, technical terms, and prompt complexity to predict the most cost-effective LLM capable of handling the request. Requests are then routed to one of four tiers (SIMPLE, MEDIUM, COMPLEX, REASONING), each mapped to specific models, ensuring optimal cost-performance balance without external API calls for routing decisions.
Quick Start & Requirements
openclaw plugin manager: openclaw plugin install @blockrun/clawrouter.openclaw CLI, and USDC on the Base network for funding.openclaw with openclaw config set model blockrun/auto.Highlighted Details
Maintenance & Community
Community engagement is facilitated via Telegram and X. The project is developed by BlockRun AI.
Licensing & Compatibility
The project is licensed under the MIT license, permitting commercial use and integration within closed-source applications without significant restrictions.
Limitations & Caveats
Features such as cascade routing (escalating to more expensive models if quality is insufficient) and granular spend controls are listed on the roadmap and not yet implemented. Users must fund a wallet on the Base network to utilize the service.
20 hours ago
Inactive
theopenco
AgentOps-AI
ulab-uiuc
ray-project
aurelio-labs
lm-sys
Portkey-AI