AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
翻譯準備中
可程式化的混合模型路由器,用於異質 LLM 推論
AI 翻譯
A programmable Mixture-of-Models router for heterogeneous LLM inference
開發工具Go · PythonGitHub @vllm-project自行安裝營運者未確認
試用過了嗎? 點一下就好,不需要登入。
個人 GitHub 帳號下公開儲存庫的擁有者可以登入並驗證所有權,自行管理介紹,無需管理員核准。
登入並產生驗證檔案,在 30 分鐘內將其提交至此儲存庫的預設分支。其他分支或分叉儲存庫中的檔案無效。然後在下方檢查檔案,即可無需管理員核准直接管理專案。請保留檔案以維持管理權限。
如需登入,將前往登入頁面。登入後請回到此處,再次點擊所選的驗證按鈕。
安裝型專案無需部署網域也可驗證。個人儲存庫可透過 GitHub 登入驗證,組織儲存庫可使用上方的儲存庫驗證檔案。
正在載入完整 README。 以下為已儲存的摘錄。
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-read檢視完整 README ↗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.