Open WebUI Self-Hosted AI Platform Configuration Guide

docker run -d -p 3000:8080 \
  --add-host=host.docker.internal:host-gateway \
  -v open-webui:/app/backend/data \
  --name open-webui \
  --restart always \
  ghcr.io/open-webui/open-webui:main

version: '3.6'

services:
  open-webui:
    image: ghcr.io/open-webui/open-webui:main
    container_name: open-webui
    ports:
      - "3000:8080"
    volumes:
      - open-webui:/app/backend/data
    environment:
      - OPENAI_API_BASE_URL=https://api2.laozhang.ai
      - OPENAI_API_KEY=Your Laozhang API key
    restart: unless-stopped

volumes:
  open-webui:

docker run -d -p 3000:8080 \
  -e OPENAI_API_BASE_URL=https://api2.laozhang.ai \
  -e OPENAI_API_KEY=Your Laozhang API key \
  -v open-webui:/app/backend/data \
  --name open-webui \
  ghcr.io/open-webui/open-webui:main

# Chat completion
curl -X POST "http://localhost:3000/api/chat/completions" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer Your Laozhang API key" \
  -d '{
    "model": "gpt-5.5",
    "messages": [
      {"role": "user", "content": "Hello, world!"}
    ]
  }'

environment:
  - OPENAI_API_BASE_URL=https://api2.laozhang.ai
  - OPENAI_API_KEY=Your Laozhang API key
  - ENABLE_OPENAI_API=true
  - ENABLE_OLLAMA_API=false

environment:
  - ENABLE_SIGNUP=false
  - DEFAULT_USER_ROLE=user
  - WEBHOOK_URL=Your webhook address

volumes:
  - open-webui:/app/backend/data
  - ./uploads:/app/backend/data/uploads
  - ./vector_db:/app/backend/data/vector_db

import requests

# Open WebUI API endpoint
api_url = "http://localhost:3000/api/chat/completions"

# Request configuration
headers = {
    "Content-Type": "application/json",
    "Authorization": "Bearer Your Laozhang API key"
}

data = {
    "model": "gpt-5.5",
    "messages": [
        {"role": "user", "content": "Explain the basic principles of quantum computing"}
    ],
    "stream": False
}

# Send request
response = requests.post(api_url, headers=headers, json=data)
result = response.json()
print(result["choices"][0]["message"]["content"])

const apiUrl = 'http://localhost:3000/api/chat/completions';

const requestData = {
  model: 'gpt-5.5',
  messages: [
    { role: 'user', content: 'Write a simple Python function' }
  ]
};

fetch(apiUrl, {
  method: 'POST',
  headers: {
    'Content-Type': 'application/json',
    'Authorization': 'Bearer Your Laozhang API key'
  },
  body: JSON.stringify(requestData)
})
.then(response => response.json())
.then(data => {
  console.log(data.choices[0].message.content);
});

docker logs -f open-webui

environment:
  - LOG_LEVEL=DEBUG
  - WEBUI_DEBUG=true

environment:
  - ENABLE_ADMIN_EXPORT=false
  - ENABLE_ADMIN_CHAT_ACCESS=false
  - JWT_EXPIRES_IN=7d

environment:
  - ENABLE_WEBHOOKS=true
  - WEBHOOK_URL=https://your-monitoring-url