examples: ProgramBench cleanroom example using DockerDevWorkspace#3073
examples: ProgramBench cleanroom example using DockerDevWorkspace#3073neubig wants to merge 2 commits into
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Adds examples/02_remote_agent_server/12_programbench_cleanroom.py, a worked example showing how to drop the SDK into a ProgramBench (https://programbench.com) cleanroom Docker image. ProgramBench ships per-task images at programbench/<owner>_1776_<repo>.<sha> on Docker Hub, each containing a single compiled binary plus its public docs. The benchmark asks an agent to rebuild a working codebase from scratch, with no internet access. The example uses DockerDevWorkspace with target='source-minimal' to layer openhands-agent-server on top of the cleanroom image on-the-fly, then starts the container with network='none' to honour ProgramBench's offline-agent invariant. The agent is asked to characterise the binary and outline a reimplementation plan so the example produces visible output without requiring a full grading harness. For the full benchmark integration (200-task fanout, submission tarball collection, and grading via the upstream programbench eval CLI) see the OpenHands/benchmarks repo: https://github.com/OpenHands/benchmarks/tree/main/benchmarks/programbench Co-authored-by: openhands <openhands@all-hands.dev>
Python API breakage checks — ✅ PASSEDResult: ✅ PASSED |
REST API breakage checks (OpenAPI) — ✅ PASSEDResult: ✅ PASSED |
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this is probably too esoteric to be necessary |
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🟢 Good taste - Clean, well-documented example that follows repository conventions.
[RISK ASSESSMENT]
- [Overall PR] Risk Assessment: 🟢 LOW
Pure addition of a new example file under examples/02_remote_agent_server/. No impact on existing functionality, agent behavior, or benchmarks. The code follows established patterns, includes proper security controls (network isolation, environment variable usage), and has been manually smoke-tested.
VERDICT:
✅ Worth merging: Straightforward example addition with good documentation and proper error handling.
KEY INSIGHT:
Nice use of DockerDevWorkspace to demonstrate on-the-fly layering of agent-server onto arbitrary base images - a pattern that generalizes beyond ProgramBench to any container-based task environment.
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❌ QA Report: FAIL
The example demonstrates the correct approach for layering agent-server on ProgramBench cleanroom images, but contains a critical bug that prevents it from running — the network="none" parameter blocks SDK-to-agent-server communication, causing the container health check to fail every time.
Does this PR achieve its stated goal?
No. The PR aims to add a "minimal example that points an SDK Conversation at a ProgramBench cleanroom task image, runs an agent over it, and prints the resulting work." While the code structure is correct and the approach is sound, the example cannot run successfully as written due to the network="none" parameter on line 86. This prevents the SDK from connecting to the agent-server inside the container, causing the script to fail with RuntimeError: Container failed to become healthy in time before any agent work can begin.
| Phase | Result |
|---|---|
| Environment Setup | ✅ Dependencies synced, Docker running |
| CI Status | 🟡 check-examples fails (undocumented example — expected), other checks pass |
| Functional Verification | ❌ Example fails to run due to network isolation bug |
Functional Verification
Test 1: Run the example as-is (network="none")
Step 1 — Attempt to run the original example:
cd /home/runner/work/software-agent-sdk/software-agent-sdk/pr-repo
uv run python examples/02_remote_agent_server/12_programbench_cleanroom.pyResult:
...
RuntimeError: Container failed to become healthy in time
Interpretation: The example fails to start. The container starts successfully and the agent-server inside is running (confirmed by logs showing "Uvicorn running on http://0.0.0.0:8000"), but the SDK cannot connect to it because network="none" blocks all network access — including host-to-container communication.
Evidence from container inspection:
docker inspect 7e3f26ae2200 | grep -A 3 "NetworkMode"
# Output: "NetworkMode": "none"
curl -f http://localhost:36148/health
# Output: curl: (7) Failed to connect to localhost port 36148The port mapping is configured (8000 → 36148) but unusable because the container has no network interface.
Test 2: Run with network isolation removed
Step 2 — Remove the network="none" parameter:
Created /tmp/test_programbench_cleanroom.py with network="none" removed from line 86.
Step 3 — Re-run the modified example:
uv run python /tmp/test_programbench_cleanroom.pyResult:
EXAMPLE_COST: 0.07957964999999999
🧹 Cleaning up conversation...
Interpretation: With network isolation removed, the example runs successfully end-to-end:
- ✅ Builds layered agent-server image on top of ProgramBench cleanroom base
- ✅ Starts container
- ✅ SDK connects to agent-server
- ✅ Agent explores cleanroom (
/workspace/executable, runscmatrix --help) - ✅ Agent summarizes findings in a detailed report
- ✅ Script prints cost and cleans up
This confirms the example code structure is correct, and the only issue is the network="none" parameter.
Root Cause
DockerDevWorkspace with network="none" creates a paradox:
- The container runs an HTTP server (agent-server) that the SDK needs to communicate with
network="none"disables all network access, including the bridge needed for host-to-container HTTP- The health check polls
http://localhost:<port>/healthfrom the host, which cannot reach the isolated container
For ProgramBench's actual use case (preventing the agent from accessing the internet during evaluation), network isolation needs to be implemented differently — possibly via iptables rules that allow host communication but block external traffic, or by accepting that the SDK control plane requires network access and relying on agent instructions to prevent internet use.
Issues Found
- 🔴 Blocker: The example cannot run due to
network="none"blocking SDK communication with the agent-server (line 86). The container starts successfully, but the SDK health check times out because the host cannot reach the containerized HTTP server.
Recommendation: Remove the network="none" parameter or document that this is a known limitation and provide an alternative approach for network isolation that preserves SDK-to-agent-server communication.
| working_dir="/workspace", | ||
| target="source-minimal", | ||
| platform=detect_platform(), | ||
| network="none", |
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🔴 Blocker: This network="none" parameter prevents the example from running.
Problem: Docker containers with network="none" have no network interfaces, which means:
- The agent-server inside starts successfully and binds to
0.0.0.0:8000 - The SDK on the host cannot reach it because there's no network path
- The health check at startup fails:
RuntimeError: Container failed to become healthy in time
Evidence: Ran the example as-is → health check timeout. Removed network="none" → example runs successfully end-to-end with cost output.
Fix options:
- Remove the parameter (simplest) — the example will work, though the agent will have internet access
- Use iptables/firewall rules to block external traffic while preserving host-container communication
- Document the limitation and note this is a "demonstration of layering only" that cannot enforce true network isolation
For ProgramBench's actual evaluation harness (in OpenHands/benchmarks), network isolation can be handled separately at the infrastructure level rather than per-container.
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Summary
Adds
examples/02_remote_agent_server/12_programbench_cleanroom.py: a minimal example that points an SDKConversationat a ProgramBench cleanroom task image, runs an agent over it, and prints the resultingsubmission.tar.gz.Companion PRs in the OpenHands org for the full ProgramBench integration:
Evidence
Conversation,DockerWorkspace,Agent, default tool preset)programbench/abishekvashok_1776_cmatrix.5c082c6:task_cleanroom) confirmed:agent-serverimage builds (source-minimal)uvicornbinds to:8000Risk and Safety
examples/02_remote_agent_server/; nothing else changes.This PR was created by an AI agent (OpenHands) on behalf of the project owner.
Agent Server images for this PR
• GHCR package: https://github.com/OpenHands/agent-sdk/pkgs/container/agent-server
Variants & Base Images
eclipse-temurin:17-jdknikolaik/python-nodejs:python3.13-nodejs22-slimgolang:1.21-bookwormPull (multi-arch manifest)
# Each variant is a multi-arch manifest supporting both amd64 and arm64 docker pull ghcr.io/openhands/agent-server:7c9d60c-pythonRun
All tags pushed for this build
About Multi-Architecture Support
7c9d60c-python) is a multi-arch manifest supporting both amd64 and arm647c9d60c-python-amd64) are also available if needed