vllm-project/semantic-router
A programmable Mixture-of-Models router for heterogeneous LLM inference observed · 2026-08-28
Health v2 · maintenance only
76/100
- Activity 99
- Release rhythm 75
- Longevity 26
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: 75.5
- age_days: 372
- days_rel: 89
- days_push: 7
- n_releases_24m: 3
Adoption not part of the score
5315 stars · 834 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
vLLM Semantic Router is an open-source programmable routing and control layer for building Mixture-of-Models systems across heterogeneous LLM infrastructure. It runs as an Envoy External Processor, exposing a stable OpenAI/Anthropic-compatible endpoint while selecting or composing model paths based on request signals, policies, and preferences.
Use cases
- route llm requests to the best model based on intent and complexity
- build a mixture-of-models gateway across cloud and local models
- cut llm inference costs by cascading cheap to expensive models
- add guardrails like jailbreak and pii detection to llm traffic
- route requests across heterogeneous gpu and edge compute
- enforce privacy policies so data stays within boundaries
- balance model quality, latency, and cost with slo-aware routing
When to choose
- you serve multiple llm models and want a single stable API endpoint with intelligent routing
- you need policy-driven routing with safety, caching, retrieval, and verification attached in the request path
- you want to optimize token spend, latency, and quality across a model fleet without hard-coding logic in apps
- you run kubernetes or envoy-based infrastructure and want routing as an observable control plane
When to avoid
- you serve a single model with no routing or policy needs
- you want a lightweight client-side router rather than an envoy-based gateway service
- you need a fully turnkey managed solution rather than a self-hosted, config-driven system
Facets
service · maturity active
llm-inference api-gateway middleware routing security caching rag monitoring large-language-models artificial-intelligence developer-tools self-hosted infrastructure-as-code go python self-hosted cloud mixture-of-models semantic-router envoy-extproc llm-routing ai-gateway guardrails model-cascades token-economy vllm ai-agents kubernetes docker linux macos
10 sources
- readme: https://github.com/vllm-project/semantic-router · fetched 2026-08-28 · ed1052e72345
- homepage: https://vllm-sr.ai · fetched 2026-08-29 · e89d50d12efd
- site_page: https://vllm-sr.ai/docs/intro · fetched 2026-08-29 · adabbd4fdf6b
- site_page: https://vllm-sr.ai/docs/v0.3/intro · fetched 2026-08-29 · 6ccc35a1ccaf
- site_page: https://vllm-sr.ai/docs/v0.2/intro · fetched 2026-08-29 · 1a926df69272
- site_page: https://vllm-sr.ai/docs/v0.1/intro · fetched 2026-08-29 · 9d6c2c1228cb
- site_page: https://vllm-sr.ai/docs/installation · fetched 2026-08-29 · 0e176c017687
- site_page: https://vllm-sr.ai/docs/tutorials/signal/overview · fetched 2026-08-29 · fd7e69ecd1ba
- site_page: https://vllm-sr.ai/docs/tutorials/algorithm/selection/router-dc · fetched 2026-08-29 · ddb865c81d0f
- site_page: https://vllm-sr.ai/docs/tutorials/algorithm/selection/multi-factor · fetched 2026-08-29 · d75a6cece4d1
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| vllm-project/semantic-router | main | 76 |
For agents
markdown · JSON · MCP: product_card(name="vllm-project/semantic-router")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem