Ross ROSS = Recommend OSS · open-source software intelligence for agents

vllm-project/semantic-router

A programmable Mixture-of-Models router for heterogeneous LLM inference observed · 2026-08-28

github.com/vllm-project/semantic-router · homepage · Go · Apache-2.0 (permissive) 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

Full methodology

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

Member repositories

RepositoryRoleHealth v2
vllm-project/semantic-routermain76

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