llm-router
Reduces LLM inference costs 70–85% by routing requests through free or cheaper models first, falling back to premium APIs only when needed.
Universal LLM router for AI coding tools. Works with Claude Code, Cursor, Codex, Gemini CLI, Copilot and more. Free-first fallback chain keeps costs 70–85% lower.
- Route simple code completions through free tier before Claude API
- Fallback to Gemini when Copilot quota exhausted in large codebases
- A/B test model performance across Cursor and Codex on same task
Reduces LLM inference costs 70–85% by routing requests through free or cheaper models first, falling back to premium APIs only when needed. Eliminates vendor lock-in by supporting multiple coding assistants.
Development teams using multiple LLM-powered IDEs (Claude Code, Cursor, Copilot) who want to minimize API spend without sacrificing quality.
https://github.com/ypollak2/llm-router
By ypollak2
How to Get It
claude plugins install ypollak2/llm-router
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Help me route simple code completions through free tier before Claude API
Trust Signals Auto-scanned
Community Pulse Active
Discussed on Hacker News, Reddit
- GPT-5 Style Router, but for any LLM including local. — Reddit · 429 pts
- RouteLLM: A framework for serving and evaluating LLM routers — Hacker News · 244 pts
- We're building a local OpenRouter: Auto-configure the best LLM engine on any PC — Reddit · 231 pts
3 mentions across 2 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 59 GitHub stars; 2 contributors; last commit 16d ago; license MIT.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
How to evaluate tools before deploying →
Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
Scored from trust signals (evidence-eval-v1): 59 GitHub stars; 2 contributors; last commit 16d ago; license MIT.