prompt-routing

Source-available LLM router and AI cost optimizer. Routes simple prompts to cheap or local models and complex ones to premium models, automatically. Drop-in OpenAI-compatible proxy for Claude Code, Codex, Cursor and OpenClaw. 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.

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

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.

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

22-agent Mixture-of-Agents pipeline with LongLoop for 24h autonomous iteration: smart routing sends easy tasks to Flash, hard tasks to flagships, cutting token costs ~90%. One-command deploy（一键部署，22 个 agent 的 MoA 流水线，长程循环可自主迭代 24 小时，智能路由省约 90% token 成本）

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

Task-level AI model router & cost optimizer for Claude Code & OpenClaw. Auto-routes tasks to the best LLM (code/translation/research/bulk) via static ranking + zero-token preclassify. Multi-provider (OpenAI/Anthropic), YAML config, circuit breaker & fallback, DAG execution. Ships a PreToolUse action-guard hook that blocks destructive commands.

Intelligent LLM router that dynamically selects the best AI model for each prompt based on complexity, cost, and performance.

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.

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

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.

Run a team of AI coding agents (Claude Code, Codex, Gemini, Hermes) side by side in tmux, with a YAML-defined ACL. Zero dependencies.

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.

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.

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.

Official Prompt Compass MCP connector - prompt routing, PII checks and jailbreak checks by Madanpotra Consultancy.