Files
next-ai-draw-io/docs/en/docker.md
Biki Kalita b23b9179a0 [Feature] Server-side multi-provider/model support (#583)
* [Feature] Server side multi-pvorider/model support

* copilot suggesition implemented

* feat: improve model selector UI and auto-select default server model

- Replace emoji headers with Lucide icons (Monitor, User)
- Fix transition-all to explicit properties per web guidelines
- Use CSS padding instead of hardcoded space indentation
- Add ModelSelectorSectionHeader component for section headers
- Replace Star icon with "default" text label
- Style Configure button with muted text color
- Auto-select default server model when page loads
- Support AI_MODELS_CONFIG env var for cloud deployments
- Support custom apiKeyEnv/baseUrlEnv per provider config

* docs: update server-side multi-model configuration documentation

- Add AI_MODELS_CONFIG env var option for cloud deployments
- Document apiKeyEnv and baseUrlEnv fields for custom env var names
- Document default field for auto-selecting default model
- Remove deprecated version field from examples
- Add field reference table for clarity

---------

Co-authored-by: dayuan.jiang <jdy.toh@gmail.com>
2026-01-16 00:58:22 +09:00

1.5 KiB

Run with Docker

If you just want to run it locally, the best way is to use Docker.

First, install Docker if you haven't already: Get Docker

Then run:

docker run -d -p 3000:3000 \
  -e AI_PROVIDER=openai \
  -e AI_MODEL=gpt-4o \
  -e OPENAI_API_KEY=your_api_key \
  ghcr.io/dayuanjiang/next-ai-draw-io:latest

Or use an env file:

cp env.example .env
# Edit .env with your configuration
docker run -d -p 3000:3000 --env-file .env ghcr.io/dayuanjiang/next-ai-draw-io:latest

Using server-side model configuration

You can mount an ai-models.json file into the container to provide multiple server-side models without exposing user API keys:

docker run -d -p 3000:3000 \
  -e OPENAI_API_KEY=your_api_key \
  -v $(pwd)/ai-models.json:/app/ai-models.json:ro \
  ghcr.io/dayuanjiang/next-ai-draw-io:latest

If you prefer to keep the config in a different path inside the container, set AI_MODELS_CONFIG_PATH:

docker run -d -p 3000:3000 \
  -e OPENAI_API_KEY=your_api_key \
  -e AI_MODELS_CONFIG_PATH=/config/ai-models.json \
  -v $(pwd)/ai-models.json:/config/ai-models.json:ro \
  ghcr.io/dayuanjiang/next-ai-draw-io:latest

Open http://localhost:3000 in your browser.

Replace the environment variables with your preferred AI provider configuration. See AI Providers for available options.

Offline Deployment: If embed.diagrams.net is blocked, see Offline Deployment for configuration options.