From c78a0736bee657090fb78cc047c210f138bee507 Mon Sep 17 00:00:00 2001 From: AIGNLAI Date: Thu, 8 Oct 2026 15:01:36 +0800 Subject: [PATCH] Clarify ORBIT branding and LLM routing discoverability --- README.md | 46 +++++++++++++++++++++++++++++++++------------- 1 file changed, 33 insertions(+), 13 deletions(-) diff --git a/README.md b/README.md index 8567fe7..8778f5f 100644 --- a/README.md +++ b/README.md @@ -1,7 +1,13 @@ 

- ORBIT logo -

- + ORBIT logo +

+ +# ORBIT: A Unified Toolbox for LLM Routing + +

+ Paper · Frontiers of Computer Science (2026) +

+

Introduction · RouteJudge · @@ -13,13 +19,16 @@ Contributing · Citation · Contact -

-## Introduction - -**ORBIT (Optimal Routing and Budgeted Inference Toolbox)** is a modular, extensible toolbox for **LLM routing**. It studies how to select the most suitable model from a heterogeneous model pool **for each query**, under practical deployment constraints such as **cost, latency, and throughput**. +

+ +## Introduction + +**ORBIT: A Unified Toolbox for LLM Routing** is a modular, extensible open-source toolbox for **large language model (LLM) routing**, also known as **model routing**. It studies how to select the most suitable model from a heterogeneous model pool **for each query**, under practical deployment constraints such as **cost, latency, and throughput**. + +ORBIT unifies LLM router development, cost-aware inference, text-only and multimodal routing benchmarks, and reproducible performance-cost evaluation. The repository name and URL remain **ORBIT** to preserve existing paper and project links.

- ORBIT overview + ORBIT unified LLM routing and evaluation workflow

LLM routing methods are rapidly emerging, but existing implementations are often fragmented: they use different benchmark splits, cost assumptions, evaluation scripts, and router interfaces. This makes fair comparison and reproducibility difficult. @@ -258,11 +267,22 @@ If you are unsure how to adapt your method to the ORBIT interface, please open a --- -## Contribution Guidelines - -We welcome pull requests that improve ORBIT's method coverage, benchmark support, documentation, and evaluation utilities. - -Before submitting a PR, please try to include: +## Contribution Guidelines + +We welcome pull requests that improve ORBIT's method coverage, benchmark support, documentation, and evaluation utilities. + +### Project naming + +Use **ORBIT: A Unified Toolbox for LLM Routing** on first mention in future papers, +project introductions, and documentation for related open-source routing methods; +use **ORBIT** thereafter. Link to the canonical repository, +[LAMDA-Model-Reuse/ORBIT](https://github.com/LAMDA-Model-Reuse/ORBIT), without renaming it. +When citing the published FCS paper, retain its original bibliographic title, +**ORBIT: An Optimal Routing and Budgeted Inference Toolbox**, and DOI as listed below. + +### Pull request checklist + +Before submitting a PR, please try to include: - A concise description of the method, dataset, or utility being added. - Configuration files needed to reproduce the experiment.