neuron-explorer
Qwen3.5‑4B 전용 조향형 뉴런 탐색기, 모든 MLP 뉴런을 밀어 결과를 보관·탐색
이질적 LLM 추론을 위한 프로그래머블 Mixture‑of‑Models 라우터
A programmable Mixture-of-Models router for heterogeneous LLM inference
개발 도구Go · PythonGitHub @vllm-project직접 설치운영자 미확인
써 보셨어요? 한 번만 눌러 주세요. 로그인은 필요 없어요.
개인 계정의 공개 저장소 소유자는 GitHub로 로그인해 운영자를 확인하고 소개를 직접 관리할 수 있습니다. 관리자 승인은 필요하지 않습니다.
로그인한 뒤 확인 파일을 만들어 이 저장소의 기본 브랜치에 30분 안에 커밋해 주세요. 다른 브랜치나 포크의 파일은 인정하지 않습니다. 파일을 올린 뒤 아래에서 확인하면 관리자 승인 없이 관리할 수 있습니다. 자격을 유지하려면 파일을 남겨 두세요.
로그인이 필요하면 로그인 화면으로 이동합니다. 로그인 후 이곳으로 돌아와 원하는 확인 버튼을 다시 눌러 주세요.
설치형 프로젝트는 배포 도메인 없이도 확인할 수 있습니다. 개인 저장소는 GitHub 로그인으로, 조직 저장소는 위의 저장소 확인 파일로 직접 확인해 주세요.
README 전체를 불러오는 중입니다. 아래는 저장된 발췌입니다.
Make Your Mixture-of-Models Programmable.
vLLM Semantic Router is a programmable routing layer for building Mixture-of-Models systems across heterogeneous LLM infrastructure. It evaluates request signals, user preferences, and application policies to select—or compose—the right model path for each request.
Use it to improve quality, cost, latency, privacy, and safety without hard-coding routing logic into applications.
For pip, uv, or agent-driven installation, see the Installation Guide.
Try the online playground at.
• Username: [email protected]
• Password: vllm-sr-readREADME 전문 보기 ↗Intelligence beyond any one model.
Give your agent harness one API for many models. vLLM Semantic Router selects or combines models for each call, guided by your policy.
Your harness keeps the agent loop, tools, and task state. The Router chooses among configured backends across local, private, and cloud compute.
| Dimension | Fragmented today | With vLLM SR |
|---|---|---|
| Models | Different models excel at different tasks. | Select or combine models. |
| Compute | Hardware varies in speed and capacity. | Choose among configured backends. |
| Location | Edge, private, and cloud. | Keep calls within approved locations. |
| Preference | Priorities change by task. | Set quality, latency, and cost priorities. |
curl -fsSL https://vllm-sr.ai/install.sh | bash -s -- --channel stable
For pip, uv, or agent-driven installation, see the Installation Guide.
Point your harness at the Router's inference endpoint. Use a public model ID such as vllm-sr/auto.
Follow Connect an agent harness for setup and compatibility.
Try the online playground at https://app.vllm-sr.ai/playground.
Credentials:
[email protected]vllm-sr-readMore announcements are available on the Blog and Publications pages.
For questions, feedback, or to contribute, please join the #semantic-router channel in vLLM Slack.
Track contributors, workgroups, and weekly activity at community.vllm-sr.ai.
We host two monthly community meetings across APAC and the Americas:
America/New_York) / 5:00-6:00 PM Pacific Time
If you want to contribute, start with CONTRIBUTING.md.
For repository-native development workflow and validation commands, use AGENTS.md as the entrypoint and tools/agent/docs/README.md as the canonical index.
If you find Semantic Router helpful in your research or projects, please consider citing it:
@misc{semanticrouter2025,
title={vLLM Semantic Router},
author={vLLM Semantic Router Team},
year={2025},
howpublished={\url{https://github.com/vllm-project/semantic-router}},
}
An open ecosystem spanning research, infrastructure, and enterprise adoption.