MediScriptAI/docker-compose.yml at main · cld2labs/MediScriptAI · GitHub

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# =============================================================================
# MediScript AI — single source of container environment configuration
# =============================================================================
# Do not use .env files inside frontend/ or backend/. Pass configuration here
# via the `environment` section below, and/or use shell substitution:
#   export OPENAI_API_KEY=sk-...   # required for real OpenAI calls
#   docker compose up --build
#
# ------------------------------------------------------------------------------
# Variables (all consumed by services through the environment block below)
# ------------------------------------------------------------------------------
#
# OPENAI_API_KEY (required for processing)
#   OpenAI API key for Whisper transcription and GPT-4o chat completions.
#
# OPENAI_WHISPER_MODEL (optional, default whisper-1)
#   Speech-to-text model name.
#
# OPENAI_CHAT_MODEL (optional, default gpt-4o)
#   Chat model for SOAP notes, keywords, and billing suggestions.
#
# BACKEND_INTERNAL_URL (frontend only)
#   Base URL of the FastAPI app as seen from the Next.js *server* (no trailing
#   slash). In Docker, use the Compose service hostname: http://backend:8000
#
# NEXT_PUBLIC_API_BASE_URL (frontend only)
#   Base URL for browser-side fetch(). Empty string = same-origin paths like
#   /api/... which Next.js Route Handlers proxy to BACKEND_INTERNAL_URL.
#
# PORT (per service)
#   backend: HTTP port inside the backend container (default 8000).
#   frontend: Next.js listens on this port inside the container (default 3000).
#
# NODE_ENV (frontend)
#   production for the containerized Next.js server.
#
# HOSTNAME (frontend)
#   Bind address for Next.js (0.0.0.0 inside Docker).
#
# =============================================================================

services:
  backend:
    build:
      context: ./backend
    ports:
      - "8000:8000"
    environment:
      OPENAI_API_KEY: ${OPENAI_API_KEY:-}
      OPENAI_WHISPER_MODEL: whisper-1
      OPENAI_CHAT_MODEL: gpt-4o
      PORT: "8000"

  frontend:
    build:
      context: ./frontend
    ports:
      - "3000:3000"
    depends_on:
      - backend
    environment:
      BACKEND_INTERNAL_URL: http://backend:8000
      NEXT_PUBLIC_API_BASE_URL: ""
      NODE_ENV: production
      NEXT_TELEMETRY_DISABLED: "1"
      PORT: "3000"
      HOSTNAME: "0.0.0.0"