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BlockRunAI/ClawRouter

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3,020 星标·301 分支·TypeScript·mit·18 次浏览

ClawRouter

ClawRouter is an AI model router and API gateway designed to classify query complexity and assign prompts to the most efficient model tier. It operates as a multi-model AI proxy that orchestrates traffic between various large language models and AI media generators through a unified interface.

The project distinguishes itself by integrating a non-custodial micropayment processor using the x402 protocol. This allows for per-request API access and USDC settlement on Base and Solana chains, replacing static API keys with wallet-based authentication and real-time budget enforcement.

The system covers broad capability areas including automated model failover management, response caching for cost control, and multi-modal proxying for text, image, and video generation. It further integrates blockchain data services, enabling on-chain SQL querying, financial market data retrieval, and wallet intelligence analysis.

The project is implemented as a local AI proxy server that intercepts and routes standardized AI API requests to various backends.

Features

  • Model Routers - Acts as a model router that dynamically assigns prompts to the most efficient model tier based on query complexity.
  • Micropayment Protocols - Implements the x402 protocol for non-custodial USDC micropayments to settle per-request AI API fees.
  • Agentic Task Detection - Identifies multi-step or tool-using requests via a scoring pathway to trigger specialized model configurations.
  • Model Tier Selectors - Implements a logic for selecting model tiers based on query complexity to optimize the balance between cost and quality.
  • LLM Fallback Managers - Controls traffic by rerouting failed requests across a chain of alternative providers to ensure continuous availability.
  • LLM Gateways - Provides a centralized gateway that aggregates multiple LLM providers into a single standardized API.
  • LLM Response Streaming - Converts non-streaming JSON API responses into Server-Sent Events for token-by-token delivery.
  • Capability-Based Routing - Implements routing logic that selects AI models based on specific functional capabilities like vision processing.
  • Failover Mechanisms - Implements automatic fallback chains to switch AI model providers when primary services experience outages.
  • Cost-Performance Optimizers - Optimizes costs and performance by routing requests to the most efficient model tier based on complexity.
  • Model Fallbacks - Provides a prioritized chain of alternative models to maintain availability when primary providers return errors.
  • Multi-Model AI Orchestrators - Operates as an orchestrator that connects diverse AI models and media generators via a unified local interface.
  • Prompt Complexity Classification - Classifies prompt complexity by analyzing reasoning, code, and technical requirements to assign a difficulty tier.
  • Blockchain-Based Settlements - Settles API usage fees using USDC on Solana and Base chains with integrated wallet verification.
  • Non-Custodial Payment Flows - Handles service authentication and payments via non-custodial USDC transactions on Base or Solana.
  • Micropayment Protocol Implementations - Implements the x402 protocol for executing per-request micropayments on blockchain networks.
  • Response Caching - Caches model responses locally to serve repeat requests instantly and reduce API costs.
  • AI Provider Proxies - Implements a local proxy server designed to route and manage traffic to multiple large language model providers.
  • Server-Sent Events - Converts standard JSON API responses into an incremental event stream for real-time content delivery.
  • Crypto Wallet Content Payments - Signs payment payloads locally using wallet keys to comply with micropayment protocols for model access.
  • x402 Micropayments - Uses the x402 protocol and non-custodial wallets to handle per-request USDC micropayments for AI API usage.
  • On-Chain Payment Verification - Monitors USDC balances across EVM and Solana networks to verify liquidity before executing model calls.
  • Wallet Signature Authentication - Uses cryptographic wallet signatures to authorize per-request API access and replace static API keys.
  • Payment-Gated Access - Restricts API access and processes micropayments using wallet authentication and the x402 standard.
  • Task Complexity Analyzers - Analyzes prompt reasoning and technical requirements across weighted dimensions to assign complexity tiers.
  • Complexity-Based Routers - Automatically assigns the most cost-effective model tier by analyzing query complexity through weighted scoring.
  • API Request Deduplication - Prevents duplicate billing by hashing request bodies to identify and replay cached responses.
  • Complexity Tier Mappings - Maps prompt complexity tiers to specific models based on cost, performance, and quality optimization goals.
  • AI Image Generation - Integrates AI models to produce visual assets from text prompts with configurable output sizes.
  • AI Video Generators - Synthesizes short videos from text or image inputs and proxies the resulting media to local storage.
  • Dynamic Tier Escalation - Upgrades the model complexity tier automatically after detecting repeated identical requests to break agentic loops.
  • Image Editing - Enables modification of existing images using text prompts and masks via generative AI instructions.
  • Model Performance Evaluators - Evaluates language models using latency and pricing metrics to optimize routing efficiency.
  • Provider Failover Handlers - Maps provider-specific errors to standardized categories to manage retries and provider failover.
  • Web Search Integrations - Connects the system to external search providers to enable augmented real-time web capabilities for models.
  • AI Token Budget Controllers - Enforces strict spending limits and per-session cost ceilings to prevent billing overages on AI model requests.
  • AI Agent Payment Frameworks - Provides a unified system for managing model usage costs and micropayment settlement across multiple providers.
  • Prediction Markets - Fetches market rankings and trade volumes from prediction platforms via a unified interface.
  • Real-Time Usage Tracking - Tracks real-time consumption of billable units via response headers to enforce budget caps.
  • Blockchain Data Analytics - Extracts and queries historical ledger records, market data, and token analytics via a unified routing layer.
  • Crypto Data Routing - Forwards requests to a unified crypto data API covering exchange prices, market rankings, and project metrics.
  • LLM Token Compression - Reduces billed token counts by deduplicating messages and minifying data before sending requests.
  • Request Body Hashing - Identifies duplicate requests by hashing payloads to serve cached responses and prevent redundant billing.
  • On-Chain SQL Execution - Executes structured SQL queries against on-chain data and retrieves schema definitions for introspection.
  • Wallet Intelligence Analysis - Retrieves detailed wallet profiles, net worth, and transaction history for specific blockchain addresses.
  • Rate Limiters - Tracks rate limits on a per-model basis to prevent provider failures from blocking fallback chains.
  • Multi-Modal Provider Proxies - Routes requests for text, image, and video generation through a single interface to unify different provider APIs.
  • Cost Estimation & Buffering - Estimates request costs and signs payment buffers in advance to bypass the payment-required round trip.
  • Routing Diagnostics - Provides technical diagnostics on model selection, session state, and routing scores to troubleshoot failures.
  • AI Reasoning Inspections - Attaches debug headers to responses to expose the chosen model, confidence scores, and routing reasoning.
  • Model Tool Calls - Converts textual or XML tool invocations into structured tool calls for downstream API execution.

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常见问题解答

blockrunai/clawrouter 是做什么的?

ClawRouter is an AI model router and API gateway designed to classify query complexity and assign prompts to the most efficient model tier. It operates as a multi-model AI proxy that orchestrates traffic between various large language models and AI media generators through a unified interface.

blockrunai/clawrouter 的主要功能有哪些?

blockrunai/clawrouter 的主要功能包括:Model Routers, Micropayment Protocols, Agentic Task Detection, Model Tier Selectors, LLM Fallback Managers, LLM Gateways, LLM Response Streaming, Capability-Based Routing。

blockrunai/clawrouter 有哪些开源替代品?

blockrunai/clawrouter 的开源替代品包括: helicone/helicone — Helicone is an AI gateway and observability platform designed to intercept, manage, and monitor interactions with… xiangsx/gpt4free-ts — gpt4free-ts is a TypeScript-based LLM API proxy and gateway that provides a unified interface for accessing large… diegosouzapw/omniroute — OmniRoute is a unified LLM API gateway that connects multiple AI providers to a single endpoint. Its primary purpose… vercel/vercel — Vercel is a cloud platform for building, deploying, and scaling web applications. It provides a unified infrastructure… katanemo/plano — Plano is an AI agent orchestrator and LLM gateway proxy that unifies access to multiple AI providers through a single… 1rgs/claude-code-proxy — This project is an LLM API proxy gateway and compatibility layer designed to route, translate, and proxy requests…