# semantic-router
**Repository Path**: mirrors_trending/semantic-router
## Basic Information
- **Project Name**: semantic-router
- **Description**: Intelligent Mixture-of-Models Router for Efficient LLM Inference
- **Primary Language**: Unknown
- **License**: Apache-2.0
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No
## Statistics
- **Stars**: 0
- **Forks**: 0
- **Created**: 2025-09-13
- **Last Updated**: 2026-09-26
## Categories & Tags
**Categories**: Uncategorized
**Tags**: None
## README
Make Your Mixture-of-Models Programmable.
Documentation |
Playground |
Blog |
Publications |
Hugging Face |
Slack
[](https://github.com/vllm-project/semantic-router/actions/workflows/main.yml)


[](https://deepwiki.com/vllm-project/semantic-router)
---
## About
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.
| Dimension | Fragmented today | With vLLM SR |
| --- | --- | --- |
| **Models** | Models specialize in different work. | Compose personalized model paths. |
| **Compute** | GPUs, accelerators, edge, and cloud coexist. | Route across heterogeneous compute. |
| **Location** | Inference spans edge, private, and cloud. | Keep data within its boundaries. |
| **Preference** | "Best" changes by user and workload. | Make every preference executable. |
[Explore how it works →](https://vllm-sr.ai/docs/intro/)
## Getting Started
### Install
```bash
curl -fsSL https://vllm-sr.ai/install.sh | bash -s -- --channel stable
```
For pip, uv, or agent-driven installation, see the **[Installation Guide](https://vllm-sr.ai/docs/installation/)**.
### Online playground
Try the online playground at .
Credentials:
- Username: `love@vllm-sr.ai`
- Password: `vllm-sr-read`
## Latest News
- [2026/07/21] New Blog: [Beyond a Single Model: Building Mixture-of-Models Systems with vLLM Semantic Router](https://vllm.ai/blog/2026-07-21-vllm-sr-new-chapter-mom)
- [2026/06/29] New Blog: [Micro-Agent: Beat Frontier Models with Collaboration inside Model API](https://vllm.ai/blog/2026-06-29-micro-agent-frontier-models)
- [2026/06/16] New Blog: [Beyond One Model: Fusion in vLLM Semantic Router](https://vllm.ai/blog/2026-06-16-vllm-sr-fusion-api)
- [2026/06/05] v0.3 Released: [vLLM Semantic Router v0.3 Themis: From Signals to Stateful Production Routing](https://vllm.ai/blog/2026-06-05-v0.3-vllm-sr-themis-release)
Earlier announcements
- [2026/03/24] Vision Paper Released: [The Workload-Router-Pool Architecture for LLM Inference Optimization](https://vllm-sr.ai/vision-paper)
- [2026/03/10] v0.2 Released: [vLLM Semantic Router v0.2 Athena Release](https://vllm.ai/blog/v0.2-vllm-sr-athena-release)
- [2026/02/27] White Paper Released: [Signal Driven Decision Routing for Mixture-of-Modality Models](https://vllm-sr.ai/white-paper/)
- [2026/01/05] Iris v0.1 Released: [vLLM Semantic Router v0.1 Iris: The First Major Release](https://blog.vllm.ai/2026/01/05/vllm-sr-iris.html)
- [2025/12/16] Collaboration: [AMD × vLLM Semantic Router: Building the System Intelligence Together](https://blog.vllm.ai/2025/12/16/vllm-sr-amd.html)
- [2025/12/15] New Blog: [Token-Level Truth: Real-Time Hallucination Detection for Production LLMs](https://blog.vllm.ai/2025/12/14/halugate.html)
- [2025/11/19] New Blog: [Signal-Decision Driven Architecture: Reshaping Semantic Routing at Scale](https://blog.vllm.ai/2025/11/19/signal-decision.html)
- [2025/11/03] Paper Published: [Category-Aware Semantic Caching for Heterogeneous LLM Workloads](https://arxiv.org/abs/2510.26835)
- [2025/10/27] New Blog: [Scaling Semantic Routing with Extensible LoRA](https://blog.vllm.ai/2025/10/27/semantic-router-modular.html)
- [2025/10/12] Paper Accepted: [When to Reason: Semantic Router for vLLM](https://arxiv.org/abs/2510.08731)
- [2025/10/08] Collaboration: vLLM Semantic Router with [vLLM Production Stack](https://github.com/vllm-project/production-stack) Team.
- [2025/09/01] Released the project: [vLLM Semantic Router: Next Phase in LLM inference](https://blog.vllm.ai/2025/09/11/semantic-router.html).
More announcements are available on the **[Blog](https://vllm-sr.ai/blog/)** and **[Publications](https://vllm-sr.ai/publications/)** pages.
## Community
For questions, feedback, or to contribute, please join the [`#semantic-router`](https://vllm-dev.slack.com/archives/C09CTGF8KCN) channel in vLLM Slack.
Track contributors, workgroups, and weekly activity at [community.vllm-sr.ai](https://community.vllm-sr.ai).
### Community Meetings
We host two monthly community meetings across APAC and the Americas:
- **APAC-friendly meeting — second Wednesday of the month**: 9:00-10:00 AM Singapore time (UTC+8; the same local time in Beijing)
- [Google Meet](https://meet.google.com/sed-jmht-ddm)
- [Google Calendar Invite](https://calendar.app.google/w3r6mfKf4X4xCMAm9)
- **Americas-friendly meeting — fourth Wednesday of the month**: 8:00-9:00 PM Eastern Time (`America/New_York`) / 5:00-6:00 PM Pacific Time
- [Google Meet](https://meet.google.com/wvm-vbfy-xzj)
- [Google Calendar Invite](https://calendar.app.google/xHPHx8xhD1wHQfhH6)
## Contributing
If you want to contribute, start with **[CONTRIBUTING.md](CONTRIBUTING.md)**.
For repository-native development workflow and validation commands, use **[AGENTS.md](AGENTS.md)** as the entrypoint and **[tools/agent/docs/README.md](tools/agent/docs/README.md)** as the canonical index.
## Citation
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}},
}
```
## Sponsors
We are grateful to our sponsors who support us:
---
[**AMD**](https://www.amd.com) provides us with GPU resources and [ROCm™](https://www.amd.com/en/products/software/rocm.html) software for training and researching frontier router models, enhancing E2E testing, and building the online models playground.
---