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Control Plane for Multi-region Architecture (Enterprise)

Learn how to deploy LiteLLM across multiple regions while maintaining centralized administration and avoiding duplication of management overhead.

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Overview​

When scaling LiteLLM for production use, you may want to deploy multiple instances across different regions or availability zones while maintaining a single point of administration. This guide covers how to set up a distributed LiteLLM deployment with:

  • Regional Worker Instances: Handle LLM requests for users in specific regions
  • Centralized Admin Instance: Manages configuration, users, keys, and monitoring

Architecture Pattern: Regional + Admin Instances​

Typical Deployment Scenario​

Benefits of This Architecture​

  1. Reduced Management Overhead: Only one instance needs admin capabilities
  2. Regional Performance: Users get low-latency access from their region
  3. Centralized Control: All administration happens from a single interface
  4. Security: Limit admin access to designated instances only
  5. Cost Efficiency: Avoid duplicating admin infrastructure

Configuration​

Admin Instance Configuration​

The admin instance handles all management operations and provides the UI.

Environment Variables for Admin Instance:

# Keep admin capabilities enabled (default behavior)
# DISABLE_ADMIN_UI=false          # Admin UI available
# DISABLE_ADMIN_ENDPOINTS=false   # Management APIs available
DISABLE_LLM_API_ENDPOINTS=true      # LLM APIs disabled
DATABASE_URL=postgresql://user:pass@global-db:5432/litellm
LITELLM_MASTER_KEY=your-master-key

Worker Instance Configuration​

Worker instances handle LLM requests but have admin capabilities disabled.

Environment Variables for Worker Instances:

# Disable admin capabilities
DISABLE_ADMIN_UI=true           # No admin UI
DISABLE_ADMIN_ENDPOINTS=true    # No management endpoints

DATABASE_URL=postgresql://user:pass@global-db:5432/litellm
LITELLM_MASTER_KEY=your-master-key

Environment Variables Reference​

DISABLE_ADMIN_UI​

Disables the LiteLLM Admin UI interface.

  • Default: false
  • Worker Instances: Set to true
  • Admin Instance: Leave as false (or don't set)
# Worker instances
DISABLE_ADMIN_UI=true

Effect: When enabled, the web UI at /ui becomes unavailable.

DISABLE_ADMIN_ENDPOINTS​

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Disables all management/admin API endpoints.

  • Default: false
  • Worker Instances: Set to true
  • Admin Instance: Leave as false (or don't set)
# Worker instances  
DISABLE_ADMIN_ENDPOINTS=true

Disabled Endpoints Include:

  • /key/* - Key management
  • /user/* - User management
  • /team/* - Team management
  • /config/* - Configuration updates
  • All other administrative endpoints

Available Endpoints (when disabled):

  • /chat/completions - LLM requests
  • /v1/* - OpenAI-compatible APIs
  • /vertex_ai/* - Vertex AI pass-through APIs
  • /bedrock/* - Bedrock pass-through APIs
  • /health - Basic health check
  • /metrics - Prometheus metrics
  • All other LLM API endpoints

DISABLE_LLM_API_ENDPOINTS​

info

✨ This is an Enterprise feature.

Enterprise Pricing

Get free 7-day trial key

Disables all LLM API endpoints.

  • Default: false
  • Worker Instances: Leave as false (or don't set)
  • Admin Instance: Set to true
# Admin instance
DISABLE_LLM_API_ENDPOINTS=true

Disabled Endpoints Include:

  • /chat/completions - LLM requests
  • /v1/* - OpenAI-compatible APIs
  • /vertex_ai/* - Vertex AI pass-through APIs
  • /bedrock/* - Bedrock pass-through APIs
  • All other LLM API endpoints

Available Endpoints (when disabled):

  • /key/* - Key management
  • /user/* - User management
  • /team/* - Team management
  • /config/* - Configuration updates
  • All other administrative endpoints

LITELLM_UI_API_DOC_BASE_URL​

Optional override for the API Reference base URL (used in sample code/docs) when the admin UI runs on a different host than the proxy.

Usage Patterns​

Client Usage​

For LLM Requests (use regional endpoints):

import openai

# US users
client_us = openai.OpenAI(
    base_url="https://us.company.com/v1",
    api_key="your-litellm-key"
)

# EU users  
client_eu = openai.OpenAI(
    base_url="https://eu.company.com/v1", 
    api_key="your-litellm-key"
)

response = client_us.chat.completions.create(
    model="gpt-4",
    messages=[{"role": "user", "content": "Hello!"}]
)

For Administration (use admin endpoint):

import requests

# Create a new API key
response = requests.post(
    "https://admin.company.com/key/generate",
    headers={"Authorization": "Bearer sk-1234"},
    json={"duration": "30d"}
)