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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
LLMRouter: An Open-Source Library for LLM Routing
| Date | Stars |
|---|---|
| 2026-07-31 | 2184 |
| 2026-08-03 | 2193 |
| 2026-08-06 | 2193 |
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<img src="assets/logo_claw.png" alt="LLMRouter Logo" width="200">
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<h1 align="center">🚀 LLMRouter: An Open-Source Library for LLM Routing</h1>
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## ✨ Introduction
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<img src="assets/llmrouter_.png" alt="LLMRouter Overview" style="width: 100%; max-width: 1000px;">
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**LLMRouter** is an intelligent routing system designed to optimize LLM inference by dynamically selecting the most suitable model for each query. To achieve intelligent routing, it defines:
1. 🚀 *Smart Routing*: Automatically routes queries to the optimal LLM based on task complexity, cost, and performance requirements.
2. 📊 *Multiple Router Models*: Support for **over 16 routing models**, organized into five major categories—**single-round routers, multi-round routers, multimodal routers, agentic routers, and personalized routers**—covering a wide range of strategies such as KNN, SVM, MLP, Matrix Factorization, Elo Rating, graph-based routing, BERT-based routing, hybrid probabilistic methods, transformed-score routers, and more.
3. 🛠️ *Unified CLI*: Complete command-line interface for training, inference, and interactive chat with Gradio-based UI.
4. 📈 *Data Generation Pipeline*: Complete pipeline for generating training data from 11 benchmark datasets with automatic API calling and evaluation.
## 📰 News
- 📈 **[2026-07]**: **TSRouter** - We've released TSRouter, a multimodal router for time series reasoning! TSRouter routes each time series query to the best (modality, model) pair — text LLMs vs. visual/mix VLMs — via a 4-partite heterogeneous graph over task, query, modality, and model nodes, supports cost-aware routing scenarios and zero-shot generalization to unseen models and novel tasks, and ships with the full TSRBench data pipeline plus a converter to the standard LLMRouter data interface. Check out the [paper](https://arxiv.org/abs/2607.08940v1) for details.
- 🚀 **[2026-05]**: **RouteProfile Code & Paper Released** - We've released **RouteProfile**, a general framework for designing LLM profiles for routing! RouteProfile enables structured profile construction from heterogeneous interaction histories, supports flat, embedding-based, text-GNN, and trainable GNN profiles, and evaluates routing performance across SimRouter, MLPRouter, and GraphRouter under both standard and new-LLM settings. Check out the [paper](https://arxiv.org/abs/2605.00180) and [code](https://github.com/ulab-uiuc/RouteProfile) for details.
- 🖥️ **[2026-02]**: **ComfyUI Interface** - We've released the visual interface for LLMRouter! Now you can visually consExcerpt of 39,840 characters
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:a370051e4a626d79, llm:Repository name and description: 'LLMRouter: An Open-Source Library for LLM Routing' (Python). Suggests tooling to route requests between LLMs or chains — likely an inference-serving / routing middleware for LLMs.
matched fp:a370051e4a626d79, llm:Repository name and description: 'LLMRouter: An Open-Source Library for LLM Routing' (Python). Suggests tooling to route requests between LLMs or chains — likely an inference-serving / routing middleware for LLMs.
matched fp:a370051e4a626d79, llm:Repository name and description: 'LLMRouter: An Open-Source Library for LLM Routing' (Python). Suggests tooling to route requests between LLMs or chains — likely an inference-serving / routing middleware for LLMs.