Add Docker-native container image

README.md

@@ -69,6 +69,10 @@ export GEMINI_API_KEY="your-key"
 bash src/commit_utils/commit.sh
 ```
 
+For cloud GPU environments that run workloads directly in Docker and do not
+expose Apptainer/Singularity, see the Docker-native image build in
+[`containers/docker`](containers/docker/README.md).
+
 Currently, we only support the HTCondor job scheduler. [Harbor](https://github.com/harbor-framework/harbor) support is planned.
 
 #### API-based agents

containers/docker/README.md

@@ -0,0 +1,61 @@
+# Docker-native container image
+
+This directory contains a Docker-native build of the standard PostTrainBench
+environment. It is useful for cloud GPU environments that already run workloads
+inside Docker containers and do not expose Apptainer/Singularity to the user.
+Runpod Pods are one example of this deployment style.
+
+This image is only the execution environment. It does not replace the current
+HTCondor submission scripts, and the existing Apptainer flow remains the
+canonical path for cluster runs.
+
+## Build
+
+Build from the repository root so the Dockerfile can read
+`containers/requirements-direct.txt`:
+
+```bash
+docker build \
+  -f containers/docker/standard.Dockerfile \
+  -t posttrainbench-standard:docker .
+```
+
+## Smoke test
+
+On a machine with an NVIDIA GPU and the NVIDIA Container Toolkit:
+
+```bash
+docker run --rm --gpus all posttrainbench-standard:docker \
+  python - <<'PY'
+from importlib.metadata import version
+
+import torch
+import vllm
+import inspect_ai
+
+print("cuda_available=", torch.cuda.is_available())
+print("device_count=", torch.cuda.device_count())
+print("vllm=", version("vllm"))
+print("inspect_ai=", version("inspect-ai"))
+PY
+```
+
+To work with a local PostTrainBench checkout:
+
+```bash
+docker run --rm -it --gpus all \
+  -v "$PWD:/workspace/PostTrainBench" \
+  -w /workspace/PostTrainBench \
+  posttrainbench-standard:docker \
+  bash
+```
+
+## Notes
+
+- The image uses Python 3.11 in `/opt/posttrainbench-venv` because current
+  `inspect_evals` releases require Python 3.11 or newer.
+- The image installs the same CLI agent tools as `containers/standard.def`:
+  Claude Code, Codex CLI, Gemini CLI, and OpenCode.
+- If a cloud provider requires SSH access, add that provider-specific SSH setup
+  in a downstream image or through the provider template. SSH is intentionally
+  not part of this base Docker image.

containers/docker/standard.Dockerfile

@@ -0,0 +1,54 @@
+FROM nvidia/cuda:12.9.1-cudnn-devel-ubuntu22.04
+
+SHELL ["/bin/bash", "-o", "pipefail", "-c"]
+
+ENV DEBIAN_FRONTEND=noninteractive
+ENV PYTHONUNBUFFERED=1
+ENV VIRTUAL_ENV=/opt/posttrainbench-venv
+ENV PATH="${VIRTUAL_ENV}/bin:/root/.local/bin:${PATH}"
+ENV PYTHONNOUSERSITE=1
+ENV NO_PROXY=localhost,127.0.0.1
+ENV no_proxy=localhost,127.0.0.1
+
+RUN chmod 1777 /tmp \
+    && apt-get update \
+    && apt-get install -y --no-install-recommends \
+        build-essential \
+        ca-certificates \
+        curl \
+        git \
+        python3 \
+        python3-dev \
+        wget \
+    && rm -rf /var/lib/apt/lists/*
+
+RUN curl -fsSL https://deb.nodesource.com/setup_22.x | bash - \
+    && apt-get update \
+    && apt-get install -y --no-install-recommends nodejs \
+    && rm -rf /var/lib/apt/lists/*
+
+RUN curl -LsSf https://astral.sh/uv/install.sh | sh \
+    && uv python install 3.11 \
+    && uv venv "${VIRTUAL_ENV}" --python 3.11
+
+RUN uv pip install --no-cache vllm==0.11.0
+
+RUN npm install -g \
+        @anthropic-ai/claude-code@2.0.55 \
+        @openai/codex@0.79.0 \
+        @google/gemini-cli@0.18.4 \
+        opencode-ai@1.1.59
+
+COPY containers/requirements-direct.txt /tmp/posttrainbench-requirements.txt
+RUN uv pip install --no-cache -r /tmp/posttrainbench-requirements.txt \
+    && uv pip install --no-cache flash_attn --no-build-isolation \
+    && rm /tmp/posttrainbench-requirements.txt
+
+RUN mkdir -p /opt \
+    && cd /opt \
+    && git clone --depth=1 https://github.com/UKGovernmentBEIS/inspect_evals.git \
+    && cd /opt/inspect_evals \
+    && uv pip install --no-cache .
+
+WORKDIR /workspace
+CMD ["bash"]