Alternatives
Products that do what LLMRouter – first LLM routing library with 300 stars in 24h does
- 1VA
2015 · mapzen.com
- 2PR
2016 · pathfinder.readme.io
- 3SE
2016 · github.com
- 4AP
2017 · github.com
- 5AR
Hi HN — we're the team behind Arch (https://github.com/katanemo/archgw), an open-source proxy for LLMs written in Rust. Today we're releasing Arch-Router (https://huggingface.co/katanemo/Arch-Router-1.5B), a 1.5B router model for preference-based routing, now integrated into the proxy. As teams integrate multiple LLMs - each with different strengths, styles, or cost/latency profiles — routing the right prompt to the right model becomes a critical part of the application design. But it's still an open problem. Most routing systems fall into two…
2025
- 6LL
2023 · github.com
- 7DA
Oct 2025 · docstrange.nanonets.com
- 8LR
Sep 2025 · github.com
- 9LW
Apr 2026 · llmwiki.app
- 10AB
Jun 2026 · llm-wiki.net
- 11PB
2023 · github.com
- 12LA
2016 · github.com
- 13A1
I've seen a lot of comments about how complex frameworks like LangChain can be. Over the holidays, I wanted to see how minimal an LLM framework could get if we stripped away everything non-essential. The result is an LLM framework in just 100 lines of code. These 100 lines capture what I see as the core abstraction of most LLM frameworks: a nested directed graph that breaks down tasks into multiple LLM steps, with branching and recursion to enable agent-like decision-making. From there, you can layer on more advanced features like agents, RAG, task decomposition, and more. I’ve intentionally…
2025 · github.com
- 14IB
2025 · interlify.com
- 15LW
Apr 2026 · github.com
- 16AA
Mar 2026 · github.com
- 17

Token-efficiency linter for LLM prompts and payloads - ritenv/tokensift
9d ago · github.com
- 18PP
Jun 2026 · github.com
- 19IL
2023 · github.com
- 20RM
Apr 2026 · github.com
- 21LA
Feb 2026 · github.com
- 22SA
Hi HN, We’re building https://www.switchpoint.dev – a drop-in replacement for OpenAI’s API that reduces LLM cost by smartly routing across models (e.g., Claude, Gemini, GPT-4) depending on subject and difficulty of the task. Why we built this: LLM costs are spiraling—especially for products doing retrieval, agentic reasoning, or even just high-volume chat. We were frustrated with paying GPT-4 rates when most queries didn’t need it. So we built a router that: - Starts with cheaper/free models (like Llama 8B, 4o-mini, 2.0 flash) - Streams responses and upgrades on failure - Acts…
2025 · switchpoint.dev
- 23AE
2019 · routible.com
- 24LA
Jun 2026 · rorlikowski.github.io
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