Installation on the server via Portainer #3837
Description
docker-compose.yml
services:
postgres:
image: postgres:14-alpine
restart: always
# comment out if you want to externally connect DB
# ports:
# - 5432:5432
volumes:
- ./postgres-data:/var/lib/postgresql/data
environment:
- PGDATA=/var/lib/postgresql/data/pgdata
- POSTGRES_USER=skyvern
- POSTGRES_PASSWORD=skyvern
- POSTGRES_DB=skyvern
healthcheck:
test: ["CMD-SHELL", "pg_isready -U skyvern"]
interval: 5s
timeout: 5s
retries: 5
skyvern:
image: public.ecr.aws/skyvern/skyvern:latest
restart: on-failure
# comment out if you want to externally call skyvern API
ports:
- 8008:8000
- 9222:9222 # for cdp browser forwarding
volumes:
- ./artifacts:/data/artifacts
- ./videos:/data/videos
- ./har:/data/har
- ./log:/data/log
- ./.streamlit:/app/.streamlit
# Uncomment the following two lines if you want to connect to any local changes
- ./skyvern:/app/skyvern
- ./alembic:/app/alembic
environment:
- DATABASE_STRING=postgresql+psycopg://skyvern:skyvern@postgres:5432/skyvern
- BROWSER_TYPE=chromium-headful
# - BROWSER_TYPE=cdp-connect
# Use this command to start Chrome with remote debugging:
# "C:\Program Files\Google\Chrome\Application\chrome.exe" --remote-debugging-port=9222 --user-data-dir="C:\chrome-cdp-profile" --no-first-run --no-default-browser-check
# /Applications/Google\ Chrome.app/Contents/MacOS/Google\ Chrome --remote-debugging-port=9222 --user-data-dir="/Users/yourusername/chrome-cdp-profile" --no-first-run --no-default-browser-check
# - BROWSER_REMOTE_DEBUGGING_URL=http://host.docker.internal:9222/
# =========================
# LLM Settings
# =========================
# OpenAI Support:
# If you want to use OpenAI as your LLM provider, uncomment the following lines and fill in your OpenAI API key.
# - ENABLE_OPENAI=true
# - LLM_KEY=OPENAI_GPT4O
# - OPENAI_API_KEY=<your_openai_key>
# Gemini Support:
# Gemini is a new LLM provider that is currently in beta. You can use it by uncommenting the following lines and filling in your Gemini API key.
#- LLM_KEY=GEMINI_FLASH
#- ENABLE_GEMINI=true
#- GEMINI_API_KEY=nope
# If you want to use other LLM provider, like azure and anthropic:
# - ENABLE_ANTHROPIC=true
# - LLM_KEY=ANTHROPIC_CLAUDE3.5_SONNET
# - ANTHROPIC_API_KEY=<your_anthropic_key>
# Ollama Support:
# Ollama is a local LLM provider that can be used to run models locally on your machine.
# - LLM_KEY=OLLAMA
#- ENABLE_OLLAMA=true
- OLLAMA_MODEL=qwen3:14b-max_context #qwen2.5-coder:14b-instruct-q4_1 #qwen2.5:32b-instruct-q4_K_M
- OLLAMA_SERVER_URL=http://host.docker.internal:11434
# Maximum tokens to use: (only set for OpenRouter aand Ollama)
#- LLM_CONFIG_MAX_TOKENS=128000
# Bitwarden Settings
# If you are looking to integrate Skyvern with a password manager (eg Bitwarden), you can use the following environment variables.
# - BITWARDEN_SERVER=http://localhost # OPTIONAL IF YOU ARE SELF HOSTING BITWARDEN
# - BITWARDEN_SERVER_PORT=8002 # OPTIONAL IF YOU ARE SELF HOSTING BITWARDEN
# - BITWARDEN_CLIENT_ID=FILL_ME_IN_PLEASE
# - BITWARDEN_CLIENT_SECRET=FILL_ME_IN_PLEASE
# - BITWARDEN_MASTER_PASSWORD=FILL_ME_IN_PLEASE
depends_on:
postgres:
condition: service_healthy
healthcheck:
test: ["CMD", "test", "-f", "/app/.streamlit/secrets.toml"]
interval: 5s
timeout: 5s
retries: 5
skyvern-ui:
image: public.ecr.aws/skyvern/skyvern-ui:latest
restart: on-failure
ports:
- 8080:8080
- 9090:9090
volumes:
- ./artifacts:/data/artifacts
- ./videos:/data/videos
- ./har:/data/har
- ./.streamlit:/app/.streamlit
environment:
# if you want to run skyvern on a remote server,
# you need to change the host in VITE_WSS_BASE_URL and VITE_API_BASE_URL to match your server ip
# If you're self-hosting this behind a dns, you'll want to set:
# A route for the API: api.yourdomain.com -> localhost:8000
# A route for the UI: yourdomain.com -> localhost:8080
# A route for the artifact API: artifact.yourdomain.com -> localhost:9090 (maybe not needed)
- VITE_WSS_BASE_URL=ws://10.99.5.18:8008/api/v1
- VITE_ARTIFACT_API_BASE_URL=http://10.99.5.18:9090
- VITE_API_BASE_URL=http://10.99.5.18:8008/api/v1
- VITE_SKYVERN_API_KEY=eyJhbGciOiJIUzI1NiIsInR5c--------nope
depends_on:
skyvern:
condition: service_healthy #
but I get an error. Deepspek suggested me to remove service_healthy, and it worked.
Failed to deploy a stack: compose up operation failed: dependency failed to start: container skyvern-skyvern-1 is unhealthy