Dockerfile

# Stage 1: Build & Requirements
FROM python:3.11-slim AS builder

# Install build dependencies
RUN apt-get update && apt-get install -y --no-install-recommends \
    build-essential \
    && rm -rf /var/lib/apt/lists/*

# Install poetry
RUN pip install --no-cache-dir poetry==2.3.2

# Configure poetry to not create a virtual environment since Docker is already isolated
RUN poetry config virtualenvs.create false

WORKDIR /app

# Copy dependency files first to leverage Docker cache
COPY pyproject.toml poetry.lock ./

# API image only needs core runtime dependencies. Heavy vector DB extras are opt-in.
RUN poetry install --no-root --only main

# Stage 2: Production runtime
FROM python:3.11-slim AS runtime

# Create a non-root user to run the application for security
RUN addgroup --system appgroup && adduser --system --group appuser

WORKDIR /app

# Copy installed python dependencies from builder
COPY --from=builder /usr/local/lib/python3.11/site-packages /usr/local/lib/python3.11/site-packages
COPY --from=builder /usr/local/bin /usr/local/bin

# Copy application code
COPY agentkit ./agentkit
COPY README.md ./
COPY LICENSE ./

# Set permissions
RUN chown -R appuser:appgroup /app

# Switch to non-root user
USER appuser

# Expose port for FastAPI
EXPOSE 8000

# Healthcheck (runtime imajında ek bir curl paketi gerektirmez)
HEALTHCHECK --interval=30s --timeout=30s --start-period=5s --retries=3 \
    CMD ["python", "-c", "import urllib.request; urllib.request.urlopen('http://localhost:8000/health', timeout=5)"]

# Start the AgentKit Server
CMD ["python", "-m", "agentkit", "deploy", "--host", "0.0.0.0", "--port", "8000"]