Skip to main content

vLLM Semantic Router - Intelligent routing for Mixture-of-Models

Project description

vLLM Semantic Router

Intelligent Router for Mixture-of-Models (MoM).

GitHub: https://github.com/vllm-project/semantic-router

Quick Start

Installation

# Install from PyPI
pip install vllm-sr

# Or install from source (development)
cd src/vllm-sr
pip install -e .

Usage

# Start the router (includes dashboard and first-run setup)
HF_TOKEN=hf_xxx vllm-sr serve

# Open the dashboard
# http://localhost:8700

# Optional: open the dashboard in your browser
vllm-sr dashboard

# View logs
vllm-sr logs router
vllm-sr logs envoy
vllm-sr logs dashboard

# Check status
vllm-sr status

# Stop
vllm-sr stop

If you start in an empty directory, vllm-sr serve bootstraps a minimal workspace and opens the dashboard in setup mode. Configure your first model there, then activate routing.

Local dashboard state is persisted under .vllm-sr/dashboard-data/ and bind-mounted into the container at /app/data. User accounts, evaluation history, and ML pipeline artifacts survive vllm-sr stop followed by a new vllm-sr serve as long as that workspace directory is kept.

Advanced YAML-first setup

# Generate an advanced sample config if you prefer editing YAML directly
vllm-sr init

# Validate the sample before serving
vllm-sr validate config.yaml

vllm-sr init is optional. It generates a lean advanced sample plus .vllm-sr/router-defaults.yaml for users who want to hand-author routing config. router-defaults.yaml contains advanced runtime defaults; it is not required for first-run dashboard setup.

Features

  • Router: Intelligent request routing based on intent classification
  • Envoy Proxy: High-performance proxy with ext_proc integration
  • Dashboard: Web UI for monitoring and testing (http://localhost:8700)
  • Metrics: Prometheus metrics endpoint (http://localhost:9190/metrics)

Endpoints

After running vllm-sr serve, the following endpoints are available:

Endpoint Port Description
Dashboard 8700 Web UI for monitoring and Playground
API 8888* Chat completions API (configurable in config.yaml)
Metrics 9190 Prometheus metrics
gRPC 50051 Router gRPC (internal)
Jaeger UI 16686 Distributed tracing UI
Grafana (embedded) 8700 Dashboards at /embedded/grafana
Prometheus UI 9090 Metrics storage and querying

*Default port, configurable via listeners in config.yaml

Observability

vllm-sr serve automatically starts the observability stack:

Note: Grafana is optimized for embedded access through the dashboard. For the best experience, use http://localhost:8700/embedded/grafana where anonymous authentication is pre-configured.

Tracing is enabled by default. Traces are visible in Jaeger under the vllm-sr service name.

Configuration

Plugin Configuration

The CLI supports configuring plugins in your routing decisions. Plugins are per-decision behaviors that customize request handling (security, caching, customization, debugging).

Supported Plugin Types:

  • semantic-cache - Cache similar requests for performance
  • jailbreak - Detect and block adversarial prompts
  • pii - Detect and enforce PII policies
  • system_prompt - Inject custom system prompts
  • header_mutation - Add/modify HTTP headers
  • hallucination - Detect hallucinations in responses
  • router_replay - Record routing decisions for debugging

Plugin Examples:

  1. semantic-cache - Cache similar requests:
plugins:
  - type: "semantic-cache"
    configuration:
      enabled: true
      similarity_threshold: 0.92  # 0.0-1.0, higher = more strict
      ttl_seconds: 3600  # Optional: cache TTL in seconds
  1. jailbreak - Block adversarial prompts:
plugins:
  - type: "jailbreak"
    configuration:
      enabled: true
      threshold: 0.8  # Optional: detection sensitivity 0.0-1.0
  1. pii - Enforce PII policies:
plugins:
  - type: "pii"
    configuration:
      enabled: true
      threshold: 0.7  # Optional: detection sensitivity 0.0-1.0
      pii_types_allowed: ["EMAIL_ADDRESS"]  # Optional: list of allowed PII types
  1. system_prompt - Inject custom instructions:
plugins:
  - type: "system_prompt"
    configuration:
      enabled: true
      system_prompt: "You are a helpful assistant."
      mode: "replace"  # "replace" (default) or "insert" (prepend)
  1. header_mutation - Modify HTTP headers:
plugins:
  - type: "header_mutation"
    configuration:
      add:
        - name: "X-Custom-Header"
          value: "custom-value"
      update:
        - name: "User-Agent"
          value: "SemanticRouter/1.0"
      delete:
        - "X-Old-Header"
  1. hallucination - Detect hallucinations:
plugins:
  - type: "hallucination"
    configuration:
      enabled: true
      use_nli: false  # Optional: use NLI for detailed analysis
      hallucination_action: "header"  # "header", "body", or "none"
  1. router_replay - Record decisions for debugging:
plugins:
  - type: "router_replay"
    configuration:
      enabled: true
      max_records: 200  # Optional: max records in memory (default: 200)
      capture_request_body: false  # Optional: capture request payloads (default: false)
      capture_response_body: false  # Optional: capture response payloads (default: false)
      max_body_bytes: 4096  # Optional: max bytes to capture (default: 4096)

Validation Rules:

  • Plugin Type: Must be one of: semantic-cache, jailbreak, pii, system_prompt, header_mutation, hallucination, router_replay
  • enabled: Must be a boolean (required for most plugins)
  • threshold/similarity_threshold: Must be a float between 0.0 and 1.0
  • max_records/max_body_bytes: Must be a positive integer
  • ttl_seconds: Must be a non-negative integer
  • pii_types_allowed: Must be a list of strings (if provided)
  • system_prompt: Must be a string (if provided)
  • mode: Must be "replace" or "insert" (if provided)

CLI Commands:

# Generate an advanced YAML sample if you want to edit config directly
vllm-sr init

# Validate configuration (including plugins)
vllm-sr validate config.yaml

# Generate router config with plugins
vllm-sr config router --config config.yaml

File Descriptor Limits

The CLI automatically sets file descriptor limits to 65,536 for Envoy proxy. To customize:

export VLLM_SR_NOFILE_LIMIT=100000  # Optional (min: 8192)
vllm-sr serve

License

Apache 2.0

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

vllm_sr-0.2.0.dev20260312215350.tar.gz (80.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

vllm_sr-0.2.0.dev20260312215350-py3-none-any.whl (81.6 kB view details)

Uploaded Python 3

File details

Details for the file vllm_sr-0.2.0.dev20260312215350.tar.gz.

File metadata

File hashes

Hashes for vllm_sr-0.2.0.dev20260312215350.tar.gz
Algorithm Hash digest
SHA256 69897d30802391ab703f0b479fda4d1ee9e36a57308e54c8af04516b0063eaed
MD5 cfd00d9016fc93a8d74baa3fa074cb76
BLAKE2b-256 720521201b35a3ddcb98733180e20c638d9c1dda369e4e2492df56ed78212e4d

See more details on using hashes here.

File details

Details for the file vllm_sr-0.2.0.dev20260312215350-py3-none-any.whl.

File metadata

File hashes

Hashes for vllm_sr-0.2.0.dev20260312215350-py3-none-any.whl
Algorithm Hash digest
SHA256 6e547797d7d9d91a4fd4b88673a2d600186152828b71a785703cb8a209b553ac
MD5 ad6e28381b7377d52d011bdc31e8d1a4
BLAKE2b-256 d82846ec54e387f7c8b52061b654fc97f9df531b093118a28832659f7a250832

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page