vetto 0.2.17

Daemon-less sandbox + security layer for AI coding agents (Landlock/Seatbelt, TUI statusline, post-session audit reports)
Documentation
# Multi-stage Dockerfile for running AI agents under Vetto double-sandbox confinement
FROM rust:1.75-bullseye AS builder

WORKDIR /build
COPY . .
RUN cargo build --release --locked

FROM debian:bullseye-slim

RUN apt-get update && apt-get install -y --no-install-recommends \
    ca-certificates \
    curl \
    git \
    python3 \
    python3-pip \
    nodejs \
    npm \
    libcap2-bin \
    && rm -rf /var/lib/apt/lists/*

# Install Vetto binary from builder
COPY --from=builder /build/target/release/vetto /usr/local/bin/vetto
RUN chmod 755 /usr/local/bin/vetto

# Setup unprivileged agent user
RUN useradd -m -u 1000 -s /bin/bash agent
WORKDIR /workspace
RUN chown -R agent:agent /workspace

USER agent
ENV USER=agent
ENV HOME=/home/agent
ENV PATH="/usr/local/bin:${PATH}"

# Entrypoint runs commands wrapped in Vetto CI mode
ENTRYPOINT ["vetto", "--ci", "--profile", "strict", "--"]
CMD ["bash"]