Open-source LLM router & AI cost optimizer. Routes simple prompts to cheap/local models, complex ones to premium — automatically. Drop-in OpenAI-compatible proxy for Claude Code, Codex, Cursor, OpenClaw. Saves 40-70% on AI API costs. Self-hosted, no middleman.

A prompt-aware LLM router that predicts which models can complete each request, then selects the cheapest capable one: 53.2% lower cost and +1.9 pts completion on our tested dataset.

Reduce your LLM costs by 40-70% automatically. Routes prompts locally, compacts context, tracks real savings.

Local, zero-token intent routing for chat, tooling, coding, and planning prompts.

Route every prompt to the best LLM — for you specifically.

Host-aware model routing for coding agents. Python library + MCP server for Claude Code, Codex, Gemini CLI, Copilot, Cursor, and Aider.

Blazing-fast, zero-cost local LLM router. Classify and route prompts to specialized AI models with <1ms latency using heuristic rules.

Intelligent multi-model LLM routing gateway — route each request to the optimal model, save 40-70% on API costs. Single binary, OpenAI-compatible.

The control plane for Claude Code. Run a dozen MCP servers and a hundred skills. Pay context for only the ones doing work right now.

Route prompts to local large language models instantly to cut costs and reduce latency with smart, zero-overhead classification under 1 millisecond.

Energy-efficient AI prompt routing system — sends simple prompts to lightweight models and reserves larger models for complex reasoning to cut compute, latency, and energy.

Local prompt routing studio for structured AI workflows and execution handoff.

claude-router is a local prompt router that picks the right Claude model tier and prepends the right scaffold using local embeddings before you call the API. A deterministic routing layer for eval, research, content, and review prompts that helps teams stop overspending on Sonnet and Opus when Haiku plus structure is enough.

Intelligent LLM request router for Azure OpenAI — automatically routes prompts to GPT-4o-mini or GPT-4o based on complexity, task type, environment, and budget. Cuts AI API costs by 60-80% with zero impact on application quality.

MCP server that intelligently routes prompts across Claude, Gemini, and GPT-4o based on task type — minimising token cost without sacrificing quality.

Intelligent LLM router that dynamically routes prompts between local Ollama (Qwen) and cloud models (Gemini) using complexity scoring, semantic caching, and cost-aware decisioning.

Define your LLM providers once, then let llmroute dynamically route every prompt to the right model — a smart CLI switchboard for multi-provider AI workflows.

Prompt posture router for coding tasks; pairs with causetrace

Intelligent LLM router that reduces AI API costs by up to 60% through smart model selection and caching. FastAPI service with multi-provider support (Gemini, Claude, OpenRouter) and Claude Desktop MCP integration.