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.

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

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.

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.

CLI-first OpenAI-compatible LLM router/proxy for coding agents that picks the cheapest fast-enough model and proves speed, savings, and prompt-free privacy.

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.

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.

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.

Prompt posture router for coding tasks; pairs with causetrace

Route prompts between local and cloud LLMs based on task complexity. Use local models (Ollama) for simple tasks, cloud APIs for complex ones. Save 80%+ on AI costs.

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.

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.

Analyze MCP tool schema overhead, token usage, and per-turn cost for AI agents. Estimate context bloat, tool-calling overhead, and routing savings for OpenAI-compatible backends.