Deploy LobeChat on Cloud Servers: A Complete Guide from Server Selection to Docker

Описание и применение

Развертывание LobeChat на облачном сервере: от выбора конфигурации до Docker‑контейнера, настройка API‑ключей, Nginx‑прокси и HTTPS.

Задача

Deploying a modern AI chat client on a cloud server with minimal cost and maximum control.

Результат

A cost‑effective, self‑hosted LobeChat deployment that runs on a lightweight cloud instance, secured with HTTPS, and fully configurable for multiple AI models and optional persistent storage.

Рабочий процесс

• Choose a cloud provider and server configuration (minimum, recommended, or production).
• Purchase a lightweight instance (e.g., 2 Core 2GB) using available promotions.
• SSH into the server and install Docker using the official convenience script.
• Pull and run the LobeChat Docker image: docker run -d -p 3210:3210 --name lobechat lobehub/lobe-chat (or use Docker Compose).
• Open a browser to http://server-ip:3210 to verify the application is running.
• Navigate to Settings and enter API keys for OpenAI, Claude, etc.
• Set up an Nginx reverse proxy with a custom domain and HTTPS using Certbot for Let’s Encrypt certificates.
• Optionally configure environment variables or a docker‑compose.yml to connect to an external PostgreSQL database for persistence.
• Test TTS/STT features and ensure the server meets recommended resources.
• Monitor logs with docker logs lobechat and adjust firewall/security group to allow port 3210.
• Upgrade server tier or renew at same price if needed for higher traffic or team use.

Доказательства

Deploying to a cloud server via Docker is the most robust method. It makes configuring custom domains and HTTPS much simpler.

Источник

For production use, it is highly recommended to set up an Nginx reverse proxy with a custom domain and HTTPS.

Источник