Julia
Julia code execution environment with test result tracking and reward calculation for RL training on Julia programming tasks.
diff --git a/docs/source/environments/harbor.md b/docs/source/environments/harbor.md
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+
+# Harbor Environment
+
+Runs [Harbor](https://www.harborframework.com/docs/tasks) task directories as an
+OpenEnv environment.
+
+**The task directory is the interface.** A directory that `harbor run` accepts is
+served here unchanged — no conversion, no re-authoring, no second copy of the
+data. That covers Terminal-Bench-lineage tasks and everything
+[Repo2RLEnv](https://github.com/huggingface/Repo2RLEnv) generates from a GitHub
+repository, so a task set built for evaluation is also a training environment.
+
+The reward always comes from the task's own verifier. This environment forwards
+it and never computes one of its own.
+
+## Quick start
+
+```bash
+# 1. Serve the bundled example task
+uv run --project envs/harbor_env server
+
+# 2. Solve it through the client
+PYTHONPATH=src:envs uv run python envs/harbor_env/examples/quickstart.py
+```
+
+```python
+import asyncio
+from harbor_env import HarborEnv
+
+async def main():
+ env = HarborEnv(base_url="http://localhost:8000")
+ start = await env.reset(task_id="fix-sum-bug")
+ print(start.observation.instruction) # the task's instruction.md
+
+ await env.write_file("stats.py", my_fix) # the agent works
+ result = await env.evaluate() # the task's tests/test.sh grades it
+
+ print(result.reward) # 1.0
+ print(result.observation.info["reward_metrics"])
+ await env.close()
+
+asyncio.run(main())
+```
+
+Point it at your own tasks with `HARBOR_TASKS_DIR`, which accepts a local
+directory or a Hugging Face dataset:
+
+```bash
+HARBOR_TASKS_DIR=./tasks uv run --project envs/harbor_env server
+HARBOR_TASKS_DIR=hf://datasets/my-org/click-tasks uv run --project envs/harbor_env server
+HARBOR_TASKS_DIR=./tasks HARBOR_MODE=docker uv run --project envs/harbor_env server
+```
+
+## Execution modes
+
+| Mode | How it runs | Use it for |
+|------|-------------|-----------|
+| `docker` (default) | Inside the task's own image, files streamed over the Docker API | Everything — and the only backend that can enforce a task's network, resource and user policies |
+| `local` | Subprocesses under a per-episode directory tree | Self-contained tasks on Docker-less hosts such as Hugging Face Spaces |
+
+> **`local` mode is not a security boundary.** `exec` runs shell commands as
+> the server's own user, so a task or a policy can read whatever that user can
+> and can reach the network. It is opt-in for that reason.
+>
+> The server's environment is not passed through — only `PATH`, `HOME` and a
+> short allowlist — which keeps API keys out of the common case. Treat that as
+> hygiene, **not** containment: on Linux a child process can still recover the
+> parent's environment through `/proc/
/environ`. If a policy you do not
+> control can reach the socket, use `docker` mode.
+
+`local` mode refuses any task whose `task.toml` declares a policy it cannot
+enforce — `network_mode`, `cpus`/`memory_mb`, or an `[agent].user` — rather than
+running it unconstrained and reporting a score the task never sanctioned.
+
+`docker` mode needs the `docker` Python package. It ships in this environment's
+own dependencies, so `uv run --project envs/harbor_env server` already has it;
+add it explicitly when driving the environment from the repo root:
+
+```bash
+PYTHONPATH=src:envs uv run --with docker python envs/harbor_env/examples/validate_taskset.py --mode docker
+```
+
+A task is **self-contained** when it ships its starting files in `environment/`
+and declares no `environment/Dockerfile` or `docker-compose.yaml`. Those run in
+either mode. Anything else — including every `repo2rlenv` task with an
+`environment/Dockerfile` — needs `docker`, and `local` mode says so explicitly
+rather than grading an empty directory:
+
+```
+task 'pallets__click-2951' keeps its starting state in a container image
+(environment/Dockerfile), which the local backend cannot reproduce.
+Run the server with HARBOR_MODE=docker, or use a task that ships its files in environment/.
+```
+
+## Task policies
+
+`task.toml` may constrain how a task runs. These are honoured in `docker` mode
+and cause `local` mode to refuse the task:
+
+| Declaration | Effect |
+|---|---|
+| `[environment].network_mode = "no-network"` | The container gets no network |
+| `[environment].cpus` / `memory_mb` / `storage_mb` | Real container limits |
+| `[environment].workdir` | Overrides the image's `WORKDIR` |
+| `[agent].user` / `[verifier].user` | That phase runs as the named account |
+| `network_mode = "allowlist"`, `gpus` | **Refused** — needs a filtering proxy / accelerators this backend does not provide. Grade with `harbor run`. |
+
+A task whose phases disagree (say a `public` agent and a `no-network` verifier)
+gets the **restrictive** setting for the whole episode: a container has one
+network, and resolving the conflict permissively would hand a sandboxed
+verifier the internet.
+
+## The task format
+
+```text
+/
+├── task.toml # config + metadata (required)
+├── instruction.md # the prompt shown to the agent
+├── environment/ # Dockerfile, compose file, or seed files
+├── tests/
+│ └── test.sh # the verifier (required to grade)
+└── solution/
+ └── solve.sh # the reference solution (optional)
+```
+
+Both spellings of the schema field are read: Harbor writes `schema_version`,
+Repo2RLEnv writes `version`. Harbor's special paths are honoured exactly:
+
+| Path | Contents | When |
+|------|----------|------|
+| working directory | what the agent edits — the image's `WORKDIR` | for the whole episode |
+| `/tests` | the task's `tests/` | staged just before the verifier runs |
+| `/solution` | the task's `solution/` | staged only for `solve` |
+| `/logs/verifier` | `reward.json` / `reward.txt` | written by the verifier |
+| `/logs/agent` | scratch space for agent logs | for the whole episode |
+
+## Rewards
+
+The verifier writes its verdict into `/logs/verifier`; `reward.json` is read
+first and `reward.txt` is the fallback, matching Harbor.
+
+| Verifier wrote | `result.reward` | `observation.info["reward_source"]` |
+|----------------|-----------------|--------------------------------------|
+| `reward.json` with a `reward` key | that value | `reward.json` |
+| `reward.json` with one metric | that value | `reward.json` |
+| `reward.json` with several metrics, no `reward` key | falls back to `reward.txt` | `reward.txt` |
+| `reward.txt` only | that value | `reward.txt` |
+| nothing | `None`, `success=False` | `missing` |
+
+Every numeric metric from `reward.json` is surfaced in
+`observation.info["reward_metrics"]`, and Repo2RLEnv's nested
+`reward-details.json` sidecar (F2P/P2P counts, diff-similarity components) in
+`observation.info["reward_details"]`.
+
+A verifier that writes no reward file yields **no reward at all**, not a `0.0`.
+A fabricated zero is indistinguishable from a genuine failure and would quietly
+poison a training run.
+
+## Action space
+
+`HarborAction.action_type` is one of:
+
+| Action | Fields | Purpose |
+|--------|--------|---------|
+| `exec` | `command`, `timeout_s` | Run a shell command in the working directory |
+| `read` | `path` | Read a file, relative to the working directory |
+| `write` | `path`, `content` | Write a file, relative to the working directory |
+| `evaluate` | — | Run `tests/test.sh` and end the episode |
+| `solve` | — | Apply `solution/solve.sh` — Harbor's oracle agent |
+
+`exec`, `read` and `write` are the agent's action space. `evaluate` and `solve`
+are training-orchestration controls: they decide when an episode ends and can
+hand over the answer, so they belong on the infrastructure side of OpenEnv's
+[dual API boundary](https://github.com/huggingface/OpenEnv/blob/main/rfcs/001-architecture.md).
+Set `HARBOR_ALLOW_CONTROL_ACTIONS=0` to have the server refuse them outright,
+for deployments where a policy can reach the same socket.
+
+`evaluate` ends the episode. Every later action is refused and keeps reporting
+`done=True` — the episode never returns to a running state without `reset()`.
+
+`read` and `write` are confined to the working directory, so an agent cannot
+reach `/tests` or `/solution`. The verifier log directory is also cleared
+immediately before the verifier runs, so a planted reward file cannot survive
+into the score.
+
+## Working with Repo2RLEnv
+
+[Repo2RLEnv](https://github.com/huggingface/Repo2RLEnv) turns a GitHub
+repository into verifiable Harbor tasks. The output needs no conversion:
+
+```bash
+# 1. Synthesize tasks from a repository
+repo2rlenv generate --repo pallets/click --pipeline pr_runtime \
+ --pipeline-opt limit=10 --llm anthropic/claude-sonnet-4-6 --out ./tasks
+
+# 2. Check every task is solvable by its own oracle before training on it
+PYTHONPATH=src:envs uv run --with docker python envs/harbor_env/examples/validate_taskset.py \
+ --tasks ./tasks --mode docker
+
+# 3. Serve them
+HARBOR_TASKS_DIR=./tasks HARBOR_MODE=docker uv run --project envs/harbor_env server
+```
+
+Tasks published with `repo2rlenv push` live under `tasks//` in a Hugging Face
+dataset; that layout is discovered automatically, so
+`HARBOR_TASKS_DIR=hf://datasets//` is enough.
+
+Rewards line up with what the pipeline produced: `test_execution`
+(`f2p_rate × p2p_rate`) for the `_runtime` pipelines and `diff_similarity` for
+`pr_diff`, forwarded exactly as the verifier computed them.
+
+## Writing a task that runs in both places
+
+Harbor's absolute paths only exist inside a container. A verifier that prefers
+the `HARBOR_*` variables and falls back to those paths runs unchanged under
+`harbor run`, under `docker` mode, and under `local` mode:
+
+```bash
+#!/bin/bash
+set -uo pipefail
+LOGS_DIR="${HARBOR_LOGS_DIR:-/logs/verifier}"
+TESTS_DIR="${HARBOR_TESTS_DIR:-/tests}"
+WORKDIR="${HARBOR_WORKDIR:-$(pwd)}"
+
+mkdir -p "$LOGS_DIR"
+cd "$WORKDIR"
+# ...grade, then write the reward...
+echo '{"reward": 1.0}' > "$LOGS_DIR/reward.json"
+exit 0 # the reward file is the verdict, not the exit code
+```
+
+The bundled `examples/tasks/fix-sum-bug` task does exactly this, and grades
+identically across all three runtimes (verified against `harbor` 0.20.0):
+
+| Runtime | Untouched task | After `solution/solve.sh` |
+|---------|----------------|---------------------------|
+| `harbor run -a nop` / `-a oracle` | 0.600 | 1.000 |
+| `harbor_env` in `local` mode | 0.600 | 1.000 |
+| `harbor_env` in `docker` mode | 0.600 | 1.000 |
+
+Reproduce the first row with `harbor run -p envs/harbor_env/examples/tasks/fix-sum-bug -a nop`
+and the other two with `examples/validate_taskset.py`.
+
+A verifier that hardcodes `/logs/verifier` still works in `docker` mode; in
+`local` mode the episode reports that it could not be scored and names the fix.
+
+## Configuration
+
+| Variable | Default | Meaning |
+|----------|---------|---------|
+| `HARBOR_TASKS_DIR` | bundled examples | Task directory, or `hf://datasets//[@rev]` |
+| `HARBOR_MODE` | `docker` | `docker` or `local` |
+| `HARBOR_ALLOW_CONTROL_ACTIONS` | `1` | Accept `evaluate`/`solve`; set `0` for agent-facing deployments |
+| `HARBOR_DEFAULT_TASK_ID` | — | Task used when `reset()` names none |
+| `HARBOR_COMMAND_TIMEOUT_S` | `120` | Timeout for agent `exec` actions |
+| `HARBOR_DEFAULT_IMAGE` | `python:3.12-slim` | Image for self-contained tasks in `docker` mode |
+| `MAX_CONCURRENT_ENVS` | `8` | Concurrent WebSocket sessions |
+
+Verifier and oracle timeouts come from `[verifier].timeout_sec` and
+`[agent].timeout_sec` in each task's `task.toml`.
+
+## Running in Docker
+
+```bash
+docker build -t harbor-env:latest -f envs/harbor_env/server/Dockerfile envs/harbor_env
+
+# local mode, your own tasks
+docker run --rm -p 8000:8000 -v "$PWD/tasks:/tasks:ro" -e HARBOR_TASKS_DIR=/tasks harbor-env:latest
+
+# docker mode needs the host daemon, so tasks can start their own containers
+docker run --rm -p 8000:8000 \
+ -v /var/run/docker.sock:/var/run/docker.sock \
+ -v "$PWD/tasks:/tasks:ro" \
+ -e HARBOR_TASKS_DIR=/tasks -e HARBOR_MODE=docker \
+ harbor-env:latest
+```
+
+Hugging Face Spaces cannot run Docker-in-Docker, so a Space serves `local` mode
+and therefore self-contained tasks that declare no restrictive policies.
+
+## Examples
+
+| Script | What it shows |
+|--------|---------------|
+| [`examples/quickstart.py`](https://github.com/huggingface/OpenEnv/blob/main/envs/harbor_env/examples/quickstart.py) | A full episode against a running server |
+| [`examples/validate_taskset.py`](https://github.com/huggingface/OpenEnv/blob/main/envs/harbor_env/examples/validate_taskset.py) | Oracle sweep over a task set — run this before training |
+| [`examples/tasks/fix-sum-bug/`](https://github.com/huggingface/OpenEnv/tree/main/envs/harbor_env/examples/tasks/fix-sum-bug) | A Harbor task written to run under every runtime |
+
+## Layout
+
+```text
+envs/harbor_env/
+├── models.py # HarborAction / HarborObservation / HarborState
+├── client.py # HarborEnv
+├── examples/
+└── server/
+ ├── task.py # task.toml parsing + task discovery
+ ├── sandbox.py # Harbor's sandbox contract; local + docker backends
+ ├── reward.py # the reward-file contract
+ ├── harbor_env_environment.py # Gymnasium orchestration over the three above
+ └── app.py # FastAPI server
+```
+
+## Tests
+
+```bash
+PYTHONPATH=src:envs uv run pytest tests/envs/test_harbor_env.py -v
+```
+
+They are hermetic — no Docker, no network — and use the bundled example task as
+the end-to-end fixture.
diff --git a/envs/harbor_env/README.md b/envs/harbor_env/README.md
new file mode 100644
index 000000000..8e20d8055
--- /dev/null
+++ b/envs/harbor_env/README.md
@@ -0,0 +1,327 @@
+---
+title: Harbor Environment Server
+emoji: "âš“"
+colorFrom: indigo
+colorTo: blue
+sdk: docker
+pinned: false
+app_port: 8000
+base_path: /web
+tags:
+ - openenv
+ - harbor
+ - repo2rlenv
+ - swe
+ - spaces
+---
+
+# Harbor Environment
+
+Runs [Harbor](https://www.harborframework.com/docs/tasks) task directories as an
+OpenEnv environment.
+
+**The task directory is the interface.** A directory that `harbor run` accepts is
+served here unchanged — no conversion, no re-authoring, no second copy of the
+data. That covers Terminal-Bench-lineage tasks and everything
+[Repo2RLEnv](https://github.com/huggingface/Repo2RLEnv) generates from a GitHub
+repository, so a task set built for evaluation is also a training environment.
+
+The reward always comes from the task's own verifier. This environment forwards
+it and never computes one of its own.
+
+## Quick start
+
+```bash
+# 1. Serve the bundled example task
+uv run --project envs/harbor_env server
+
+# 2. Solve it through the client
+PYTHONPATH=src:envs uv run python envs/harbor_env/examples/quickstart.py
+```
+
+```python
+import asyncio
+from harbor_env import HarborEnv
+
+async def main():
+ env = HarborEnv(base_url="http://localhost:8000")
+ start = await env.reset(task_id="fix-sum-bug")
+ print(start.observation.instruction) # the task's instruction.md
+
+ await env.write_file("stats.py", my_fix) # the agent works
+ result = await env.evaluate() # the task's tests/test.sh grades it
+
+ print(result.reward) # 1.0
+ print(result.observation.info["reward_metrics"])
+ await env.close()
+
+asyncio.run(main())
+```
+
+Point it at your own tasks with `HARBOR_TASKS_DIR`, which accepts a local
+directory or a Hugging Face dataset:
+
+```bash
+HARBOR_TASKS_DIR=./tasks uv run --project envs/harbor_env server
+HARBOR_TASKS_DIR=hf://datasets/my-org/click-tasks uv run --project envs/harbor_env server
+HARBOR_TASKS_DIR=./tasks HARBOR_MODE=docker uv run --project envs/harbor_env server
+```
+
+## Execution modes
+
+| Mode | How it runs | Use it for |
+|------|-------------|-----------|
+| `docker` (default) | Inside the task's own image, files streamed over the Docker API | Everything — and the only backend that can enforce a task's network, resource and user policies |
+| `local` | Subprocesses under a per-episode directory tree | Self-contained tasks on Docker-less hosts such as Hugging Face Spaces |
+
+> **`local` mode is not a security boundary.** `exec` runs shell commands as
+> the server's own user, so a task or a policy can read whatever that user can
+> and can reach the network. It is opt-in for that reason.
+>
+> The server's environment is not passed through — only `PATH`, `HOME` and a
+> short allowlist — which keeps API keys out of the common case. Treat that as
+> hygiene, **not** containment: on Linux a child process can still recover the
+> parent's environment through `/proc//environ`. If a policy you do not
+> control can reach the socket, use `docker` mode.
+
+`local` mode refuses any task whose `task.toml` declares a policy it cannot
+enforce — `network_mode`, `cpus`/`memory_mb`, or an `[agent].user` — rather than
+running it unconstrained and reporting a score the task never sanctioned.
+
+`docker` mode needs the `docker` Python package. It ships in this environment's
+own dependencies, so `uv run --project envs/harbor_env server` already has it;
+add it explicitly when driving the environment from the repo root:
+
+```bash
+PYTHONPATH=src:envs uv run --with docker python envs/harbor_env/examples/validate_taskset.py --mode docker
+```
+
+A task is **self-contained** when it ships its starting files in `environment/`
+and declares no `environment/Dockerfile` or `docker-compose.yaml`. Those run in
+either mode. Anything else — including every `repo2rlenv` task with an
+`environment/Dockerfile` — needs `docker`, and `local` mode says so explicitly
+rather than grading an empty directory:
+
+```
+task 'pallets__click-2951' keeps its starting state in a container image
+(environment/Dockerfile), which the local backend cannot reproduce.
+Run the server with HARBOR_MODE=docker, or use a task that ships its files in environment/.
+```
+
+## Task policies
+
+`task.toml` may constrain how a task runs. These are honoured in `docker` mode
+and cause `local` mode to refuse the task:
+
+| Declaration | Effect |
+|---|---|
+| `[environment].network_mode = "no-network"` | The container gets no network |
+| `[environment].cpus` / `memory_mb` / `storage_mb` | Real container limits |
+| `[environment].workdir` | Overrides the image's `WORKDIR` |
+| `[agent].user` / `[verifier].user` | That phase runs as the named account |
+| `network_mode = "allowlist"`, `gpus` | **Refused** — needs a filtering proxy / accelerators this backend does not provide. Grade with `harbor run`. |
+
+A task whose phases disagree (say a `public` agent and a `no-network` verifier)
+gets the **restrictive** setting for the whole episode: a container has one
+network, and resolving the conflict permissively would hand a sandboxed
+verifier the internet.
+
+## The task format
+
+```text
+/
+├── task.toml # config + metadata (required)
+├── instruction.md # the prompt shown to the agent
+├── environment/ # Dockerfile, compose file, or seed files
+├── tests/
+│ └── test.sh # the verifier (required to grade)
+└── solution/
+ └── solve.sh # the reference solution (optional)
+```
+
+Both spellings of the schema field are read: Harbor writes `schema_version`,
+Repo2RLEnv writes `version`. Harbor's special paths are honoured exactly:
+
+| Path | Contents | When |
+|------|----------|------|
+| working directory | what the agent edits — the image's `WORKDIR` | for the whole episode |
+| `/tests` | the task's `tests/` | staged just before the verifier runs |
+| `/solution` | the task's `solution/` | staged only for `solve` |
+| `/logs/verifier` | `reward.json` / `reward.txt` | written by the verifier |
+| `/logs/agent` | scratch space for agent logs | for the whole episode |
+
+## Rewards
+
+The verifier writes its verdict into `/logs/verifier`; `reward.json` is read
+first and `reward.txt` is the fallback, matching Harbor.
+
+| Verifier wrote | `result.reward` | `observation.info["reward_source"]` |
+|----------------|-----------------|--------------------------------------|
+| `reward.json` with a `reward` key | that value | `reward.json` |
+| `reward.json` with one metric | that value | `reward.json` |
+| `reward.json` with several metrics, no `reward` key | falls back to `reward.txt` | `reward.txt` |
+| `reward.txt` only | that value | `reward.txt` |
+| nothing | `None`, `success=False` | `missing` |
+
+Every numeric metric from `reward.json` is surfaced in
+`observation.info["reward_metrics"]`, and Repo2RLEnv's nested
+`reward-details.json` sidecar (F2P/P2P counts, diff-similarity components) in
+`observation.info["reward_details"]`.
+
+A verifier that writes no reward file yields **no reward at all**, not a `0.0`.
+A fabricated zero is indistinguishable from a genuine failure and would quietly
+poison a training run.
+
+## Action space
+
+`HarborAction.action_type` is one of:
+
+| Action | Fields | Purpose |
+|--------|--------|---------|
+| `exec` | `command`, `timeout_s` | Run a shell command in the working directory |
+| `read` | `path` | Read a file, relative to the working directory |
+| `write` | `path`, `content` | Write a file, relative to the working directory |
+| `evaluate` | — | Run `tests/test.sh` and end the episode |
+| `solve` | — | Apply `solution/solve.sh` — Harbor's oracle agent |
+
+`exec`, `read` and `write` are the agent's action space. `evaluate` and `solve`
+are training-orchestration controls: they decide when an episode ends and can
+hand over the answer, so they belong on the infrastructure side of OpenEnv's
+[dual API boundary](https://github.com/huggingface/OpenEnv/blob/main/rfcs/001-architecture.md).
+Set `HARBOR_ALLOW_CONTROL_ACTIONS=0` to have the server refuse them outright,
+for deployments where a policy can reach the same socket.
+
+`evaluate` ends the episode. Every later action is refused and keeps reporting
+`done=True` — the episode never returns to a running state without `reset()`.
+
+`read` and `write` are confined to the working directory, so an agent cannot
+reach `/tests` or `/solution`. The verifier log directory is also cleared
+immediately before the verifier runs, so a planted reward file cannot survive
+into the score.
+
+## Working with Repo2RLEnv
+
+[Repo2RLEnv](https://github.com/huggingface/Repo2RLEnv) turns a GitHub
+repository into verifiable Harbor tasks. The output needs no conversion:
+
+```bash
+# 1. Synthesize tasks from a repository
+repo2rlenv generate --repo pallets/click --pipeline pr_runtime \
+ --pipeline-opt limit=10 --llm anthropic/claude-sonnet-4-6 --out ./tasks
+
+# 2. Check every task is solvable by its own oracle before training on it
+PYTHONPATH=src:envs uv run --with docker python envs/harbor_env/examples/validate_taskset.py \
+ --tasks ./tasks --mode docker
+
+# 3. Serve them
+HARBOR_TASKS_DIR=./tasks HARBOR_MODE=docker uv run --project envs/harbor_env server
+```
+
+Tasks published with `repo2rlenv push` live under `tasks//` in a Hugging Face
+dataset; that layout is discovered automatically, so
+`HARBOR_TASKS_DIR=hf://datasets//` is enough.
+
+Rewards line up with what the pipeline produced: `test_execution`
+(`f2p_rate × p2p_rate`) for the `_runtime` pipelines and `diff_similarity` for
+`pr_diff`, forwarded exactly as the verifier computed them.
+
+## Writing a task that runs in both places
+
+Harbor's absolute paths only exist inside a container. A verifier that prefers
+the `HARBOR_*` variables and falls back to those paths runs unchanged under
+`harbor run`, under `docker` mode, and under `local` mode:
+
+```bash
+#!/bin/bash
+set -uo pipefail
+LOGS_DIR="${HARBOR_LOGS_DIR:-/logs/verifier}"
+TESTS_DIR="${HARBOR_TESTS_DIR:-/tests}"
+WORKDIR="${HARBOR_WORKDIR:-$(pwd)}"
+
+mkdir -p "$LOGS_DIR"
+cd "$WORKDIR"
+# ...grade, then write the reward...
+echo '{"reward": 1.0}' > "$LOGS_DIR/reward.json"
+exit 0 # the reward file is the verdict, not the exit code
+```
+
+The bundled `examples/tasks/fix-sum-bug` task does exactly this, and grades
+identically across all three runtimes (verified against `harbor` 0.20.0):
+
+| Runtime | Untouched task | After `solution/solve.sh` |
+|---------|----------------|---------------------------|
+| `harbor run -a nop` / `-a oracle` | 0.600 | 1.000 |
+| `harbor_env` in `local` mode | 0.600 | 1.000 |
+| `harbor_env` in `docker` mode | 0.600 | 1.000 |
+
+Reproduce the first row with `harbor run -p envs/harbor_env/examples/tasks/fix-sum-bug -a nop`
+and the other two with `examples/validate_taskset.py`.
+
+A verifier that hardcodes `/logs/verifier` still works in `docker` mode; in
+`local` mode the episode reports that it could not be scored and names the fix.
+
+## Configuration
+
+| Variable | Default | Meaning |
+|----------|---------|---------|
+| `HARBOR_TASKS_DIR` | bundled examples | Task directory, or `hf://datasets//[@rev]` |
+| `HARBOR_MODE` | `docker` | `docker` or `local` |
+| `HARBOR_ALLOW_CONTROL_ACTIONS` | `1` | Accept `evaluate`/`solve`; set `0` for agent-facing deployments |
+| `HARBOR_DEFAULT_TASK_ID` | — | Task used when `reset()` names none |
+| `HARBOR_COMMAND_TIMEOUT_S` | `120` | Timeout for agent `exec` actions |
+| `HARBOR_DEFAULT_IMAGE` | `python:3.12-slim` | Image for self-contained tasks in `docker` mode |
+| `MAX_CONCURRENT_ENVS` | `8` | Concurrent WebSocket sessions |
+
+Verifier and oracle timeouts come from `[verifier].timeout_sec` and
+`[agent].timeout_sec` in each task's `task.toml`.
+
+## Running in Docker
+
+```bash
+docker build -t harbor-env:latest -f envs/harbor_env/server/Dockerfile envs/harbor_env
+
+# local mode, your own tasks
+docker run --rm -p 8000:8000 -v "$PWD/tasks:/tasks:ro" -e HARBOR_TASKS_DIR=/tasks harbor-env:latest
+
+# docker mode needs the host daemon, so tasks can start their own containers
+docker run --rm -p 8000:8000 \
+ -v /var/run/docker.sock:/var/run/docker.sock \
+ -v "$PWD/tasks:/tasks:ro" \
+ -e HARBOR_TASKS_DIR=/tasks -e HARBOR_MODE=docker \
+ harbor-env:latest
+```
+
+Hugging Face Spaces cannot run Docker-in-Docker, so a Space serves `local` mode
+and therefore self-contained tasks that declare no restrictive policies.
+
+## Examples
+
+| Script | What it shows |
+|--------|---------------|
+| [`examples/quickstart.py`](https://github.com/huggingface/OpenEnv/blob/main/envs/harbor_env/examples/quickstart.py) | A full episode against a running server |
+| [`examples/validate_taskset.py`](https://github.com/huggingface/OpenEnv/blob/main/envs/harbor_env/examples/validate_taskset.py) | Oracle sweep over a task set — run this before training |
+| [`examples/tasks/fix-sum-bug/`](https://github.com/huggingface/OpenEnv/tree/main/envs/harbor_env/examples/tasks/fix-sum-bug) | A Harbor task written to run under every runtime |
+
+## Layout
+
+```text
+envs/harbor_env/
+├── models.py # HarborAction / HarborObservation / HarborState
+├── client.py # HarborEnv
+├── examples/
+└── server/
+ ├── task.py # task.toml parsing + task discovery
+ ├── sandbox.py # Harbor's sandbox contract; local + docker backends
+ ├── reward.py # the reward-file contract
+ ├── harbor_env_environment.py # Gymnasium orchestration over the three above
+ └── app.py # FastAPI server
+```
+
+## Tests
+
+```bash
+PYTHONPATH=src:envs uv run pytest tests/envs/test_harbor_env.py -v
+```
+
+They are hermetic — no Docker, no network — and use the bundled example task as
+the end-to-end fixture.
diff --git a/envs/harbor_env/__init__.py b/envs/harbor_env/__init__.py
new file mode 100644
index 000000000..629c806b7
--- /dev/null
+++ b/envs/harbor_env/__init__.py
@@ -0,0 +1,30 @@
+# SPDX-License-Identifier: BSD-3-Clause
+
+"""Harbor Environment — run Harbor task directories as an OpenEnv environment.
+
+The task directory is the interface. A directory that `harbor run` accepts —
+including everything [Repo2RLEnv](https://github.com/huggingface/Repo2RLEnv)
+emits — is served here unchanged, with the reward taken from the task's own
+verifier.
+"""
+
+from .client import HarborEnv
+from .models import (
+ AGENT_ACTIONS,
+ CONTROL_ACTIONS,
+ HarborAction,
+ HarborActionType,
+ HarborObservation,
+ HarborState,
+)
+
+
+__all__ = [
+ "AGENT_ACTIONS",
+ "CONTROL_ACTIONS",
+ "HarborAction",
+ "HarborActionType",
+ "HarborEnv",
+ "HarborObservation",
+ "HarborState",
+]
diff --git a/envs/harbor_env/client.py b/envs/harbor_env/client.py
new file mode 100644
index 000000000..a501ea8f2
--- /dev/null
+++ b/envs/harbor_env/client.py
@@ -0,0 +1,117 @@
+# SPDX-License-Identifier: BSD-3-Clause
+
+"""Client for the Harbor environment."""
+
+from __future__ import annotations
+
+from typing import Any
+
+
+# Support both in-repo and standalone imports
+try:
+ # In-repo imports (when running from OpenEnv repository)
+ from openenv.core.client_types import StepResult
+ from openenv.core.env_client import EnvClient
+
+ from .models import HarborAction, HarborObservation, HarborState
+except ImportError:
+ # Standalone imports (when environment is standalone with openenv from pip)
+ from models import HarborAction, HarborObservation, HarborState
+
+ from openenv.core.client_types import StepResult
+ from openenv.core.env_client import EnvClient
+
+
+class HarborEnv(EnvClient[HarborAction, HarborObservation, HarborState]):
+ """Drives a Harbor task server over the standard OpenEnv WebSocket API.
+
+ The five actions map onto Harbor's phases: `run` / `read_file` / `write_file`
+ are what an agent does, [`evaluate`] runs the task's verifier and ends the
+ episode, and [`solve`] applies the task's reference solution.
+
+ Examples:
+
+ ```python
+ import asyncio
+ from harbor_env import HarborEnv
+
+ async def main():
+ env = HarborEnv(base_url="http://localhost:8000")
+ start = await env.reset(task_id="fix-sum-bug")
+ print(start.observation.instruction)
+
+ await env.write_file("calc.py", "def total(xs):\\n return sum(xs)\\n")
+ result = await env.evaluate()
+ print(result.reward, result.done)
+ await env.close()
+
+ asyncio.run(main())
+ ```
+
+ The same flow synchronously:
+
+ ```python
+ with HarborEnv(base_url="http://localhost:8000").sync() as env:
+ env.reset(task_id="fix-sum-bug")
+ env.step(HarborAction(action_type="exec", command="pytest -q"))
+ print(env.step(HarborAction(action_type="evaluate")).reward)
+ ```
+ """
+
+ # --- convenience wrappers ----------------------------------------------
+
+ async def run(
+ self, command: str, timeout_s: float | None = None
+ ) -> StepResult[HarborObservation]:
+ """Run a shell command in the task's working directory."""
+ return await self.step(
+ HarborAction(action_type="exec", command=command, timeout_s=timeout_s)
+ )
+
+ async def read_file(self, path: str) -> StepResult[HarborObservation]:
+ """Read a file, relative to the task's working directory."""
+ return await self.step(HarborAction(action_type="read", path=path))
+
+ async def write_file(
+ self, path: str, content: str
+ ) -> StepResult[HarborObservation]:
+ """Write a file, relative to the task's working directory."""
+ return await self.step(
+ HarborAction(action_type="write", path=path, content=content)
+ )
+
+ async def evaluate(self) -> StepResult[HarborObservation]:
+ """Run the task's verifier and end the episode.
+
+ The reward is whatever `tests/test.sh` wrote to `/logs/verifier`; the
+ per-metric breakdown is in `observation.info`.
+ """
+ return await self.step(HarborAction(action_type="evaluate"))
+
+ async def solve(self) -> StepResult[HarborObservation]:
+ """Apply the task's reference solution — Harbor's oracle agent.
+
+ Follow with [`evaluate`] to confirm the task grades at full reward. This
+ is orchestration tooling for validating a task set, not part of an
+ agent's action space.
+ """
+ return await self.step(HarborAction(action_type="solve"))
+
+ # --- wire protocol ------------------------------------------------------
+
+ def _step_payload(self, action: HarborAction) -> dict[str, Any]:
+ return action.model_dump()
+
+ def _parse_result(self, payload: dict[str, Any]) -> StepResult[HarborObservation]:
+ data = dict(payload.get("observation", {}))
+ data["reward"] = payload.get("reward")
+ data["done"] = payload.get("done", False)
+ observation = HarborObservation.model_validate(data)
+ return StepResult(
+ observation=observation,
+ reward=observation.reward,
+ done=observation.done,
+ )
+
+ def _parse_state(self, payload: dict[str, Any]) -> HarborState:
+ return HarborState.model_validate(payload)
diff --git a/envs/harbor_env/examples/quickstart.py b/envs/harbor_env/examples/quickstart.py
new file mode 100644
index 000000000..d72447381
--- /dev/null
+++ b/envs/harbor_env/examples/quickstart.py
@@ -0,0 +1,80 @@
+# SPDX-License-Identifier: BSD-3-Clause
+
+"""Quickstart: solve a Harbor task through a running Harbor environment server.
+
+Start the server first (it serves the bundled example task by default):
+
+```bash
+uv run --project envs/harbor_env server
+```
+
+then run this script:
+
+```bash
+PYTHONPATH=src:envs uv run python envs/harbor_env/examples/quickstart.py
+```
+
+It walks the full episode: read the instruction, inspect the working directory,
+write a fix, and grade the result with the task's own verifier.
+"""
+
+from __future__ import annotations
+
+import argparse
+import asyncio
+
+from harbor_env import HarborEnv
+
+
+FIXED_STATS = '''"""Small statistics helpers."""
+
+
+def total(values):
+ """Return the sum of ``values``, or ``0`` when there are none."""
+ return sum(values)
+
+
+def mean(values):
+ """Return the arithmetic mean of ``values``, or ``0.0`` when there are none."""
+ if not values:
+ return 0.0
+ return total(values) / len(values)
+'''
+
+
+async def main(base_url: str, task_id: str) -> None:
+ env = HarborEnv(base_url=base_url)
+ try:
+ start = await env.reset(task_id=task_id)
+ print(
+ f"task : {start.observation.task_name} ({start.observation.mode} mode)"
+ )
+ print(f"workdir : {start.observation.workdir}")
+ print(f"\n{start.observation.instruction}")
+
+ listing = await env.run("ls -1")
+ print(f"files : {listing.observation.output.split()}")
+
+ # Grade the starting state, to see what an agent has to beat.
+ before = await env.evaluate()
+ print(f"\nbaseline reward: {before.reward}")
+ print(f" metrics : {before.observation.info.get('reward_metrics')}")
+
+ # Episodes are one-shot: `evaluate` ends them, so start a fresh one to
+ # actually solve the task.
+ await env.reset(task_id=task_id)
+ await env.write_file("stats.py", FIXED_STATS)
+ after = await env.evaluate()
+
+ print(f"\nreward after fix: {after.reward} (done={after.done})")
+ print(f" source : {after.observation.info.get('reward_source')}")
+ finally:
+ await env.close()
+
+
+if __name__ == "__main__":
+ parser = argparse.ArgumentParser(description=__doc__)
+ parser.add_argument("--base-url", default="http://localhost:8000")
+ parser.add_argument("--task-id", default="fix-sum-bug")
+ args = parser.parse_args()
+ asyncio.run(main(args.base_url, args.task_id))
diff --git a/envs/harbor_env/examples/tasks/fix-sum-bug/environment/stats.py b/envs/harbor_env/examples/tasks/fix-sum-bug/environment/stats.py
new file mode 100644
index 000000000..42c25e9c3
--- /dev/null
+++ b/envs/harbor_env/examples/tasks/fix-sum-bug/environment/stats.py
@@ -0,0 +1,17 @@
+"""Small statistics helpers.
+
+Both functions mishandle their edge cases; see instruction.md.
+"""
+
+
+def total(values):
+ """Return the sum of ``values``."""
+ result = values[0]
+ for value in values[1:]:
+ result += value
+ return result
+
+
+def mean(values):
+ """Return the arithmetic mean of ``values``."""
+ return total(values) / len(values)
diff --git a/envs/harbor_env/examples/tasks/fix-sum-bug/instruction.md b/envs/harbor_env/examples/tasks/fix-sum-bug/instruction.md
new file mode 100644
index 000000000..44e1c224c
--- /dev/null
+++ b/envs/harbor_env/examples/tasks/fix-sum-bug/instruction.md
@@ -0,0 +1,14 @@
+# Fix `stats.py`
+
+`stats.py` in your working directory provides two helpers, and both are wrong at
+the edges:
+
+- `total(values)` must return the sum of `values`, and `0` for an empty sequence.
+- `mean(values)` must return the arithmetic mean, and `0.0` for an empty sequence
+ (rather than raising `ZeroDivisionError`).
+
+Fix `stats.py` so both behave as described. Keep the function names and
+signatures unchanged — the grader imports them directly.
+
+The grader awards partial credit: your reward is the fraction of its checks that
+pass.
diff --git a/envs/harbor_env/examples/tasks/fix-sum-bug/solution/solve.sh b/envs/harbor_env/examples/tasks/fix-sum-bug/solution/solve.sh
new file mode 100755
index 000000000..d100e6f8d
--- /dev/null
+++ b/envs/harbor_env/examples/tasks/fix-sum-bug/solution/solve.sh
@@ -0,0 +1,12 @@
+#!/bin/bash
+# Harbor oracle agent entry point: leave the working directory in the solved state.
+#
+# Harbor copies this whole directory to /solution and runs it, so the reference
+# implementation sitting next to this script is what we install.
+set -euo pipefail
+
+WORKDIR="${HARBOR_WORKDIR:-$(pwd)}"
+SOLUTION_DIR="$(cd "$(dirname "$0")" && pwd)"
+
+cp "$SOLUTION_DIR/stats.py" "$WORKDIR/stats.py"
+echo "installed the reference stats.py into $WORKDIR"
diff --git a/envs/harbor_env/examples/tasks/fix-sum-bug/solution/stats.py b/envs/harbor_env/examples/tasks/fix-sum-bug/solution/stats.py
new file mode 100644
index 000000000..38c1e84fe
--- /dev/null
+++ b/envs/harbor_env/examples/tasks/fix-sum-bug/solution/stats.py
@@ -0,0 +1,16 @@
+"""Reference solution for the `fix-sum-bug` example task."""
+
+
+def total(values):
+ """Return the sum of ``values``, or ``0`` when there are none."""
+ result = 0
+ for value in values:
+ result += value
+ return result
+
+
+def mean(values):
+ """Return the arithmetic mean of ``values``, or ``0.0`` when there are none."""
+ if not values:
+ return 0.0
+ return total(values) / len(values)
diff --git a/envs/harbor_env/examples/tasks/fix-sum-bug/task.toml b/envs/harbor_env/examples/tasks/fix-sum-bug/task.toml
new file mode 100644
index 000000000..5a6b5ef93
--- /dev/null
+++ b/envs/harbor_env/examples/tasks/fix-sum-bug/task.toml
@@ -0,0 +1,24 @@
+schema_version = "1.4"
+
+[task]
+name = "openenv/fix-sum-bug"
+version = "1.0.0"
+description = "Fix a statistics helper so it handles empty and single-element inputs."
+keywords = ["example", "python", "bugfix"]
+
+[metadata]
+difficulty = "easy"
+category = "programming"
+difficulty_explanation = "A two-line fix; exists to exercise the task format end to end."
+
+[environment]
+# No environment/Dockerfile, so Harbor uploads the other environment/ files into
+# the working directory and runs them on this image. That also makes the task
+# self-contained, which is what lets OpenEnv's local backend run it without Docker.
+docker_image = "python:3.12-slim"
+
+[agent]
+timeout_sec = 600.0
+
+[verifier]
+timeout_sec = 120.0
diff --git a/envs/harbor_env/examples/tasks/fix-sum-bug/tests/grade.py b/envs/harbor_env/examples/tasks/fix-sum-bug/tests/grade.py
new file mode 100644
index 000000000..6ef8ac5a4
--- /dev/null
+++ b/envs/harbor_env/examples/tasks/fix-sum-bug/tests/grade.py
@@ -0,0 +1,77 @@
+"""Grader for the `fix-sum-bug` example task.
+
+Imports `stats.py` out of the working directory, runs a handful of checks, and
+writes the score into the verifier log directory using Harbor's reward contract:
+
+- `reward.json` — flat map of numeric metrics, including the primary `reward`
+- `reward.txt` — the same scalar, for runtimes that only read the plain file
+
+Depends on nothing outside the standard library so it runs on a bare
+`python:3-slim` image.
+"""
+
+import importlib.util
+import json
+import os
+import sys
+from pathlib import Path
+
+
+LOGS_DIR = Path(os.environ.get("HARBOR_LOGS_DIR", "/logs/verifier"))
+WORKDIR = Path(os.environ.get("HARBOR_WORKDIR", os.getcwd()))
+
+CHECKS = [
+ ("total_empty", lambda m: m.total([]) == 0),
+ ("total_values", lambda m: m.total([1, 2, 3]) == 6),
+ ("total_single", lambda m: m.total([7]) == 7),
+ ("mean_empty", lambda m: m.mean([]) == 0.0),
+ ("mean_values", lambda m: m.mean([2, 4]) == 3.0),
+]
+
+
+def load_stats():
+ """Import `stats.py` from the working directory."""
+ module_path = WORKDIR / "stats.py"
+ spec = importlib.util.spec_from_file_location("stats_under_test", module_path)
+ if spec is None or spec.loader is None:
+ raise ImportError(f"could not import {module_path}")
+ module = importlib.util.module_from_spec(spec)
+ spec.loader.exec_module(module)
+ return module
+
+
+def main() -> int:
+ results: dict[str, float] = {}
+ try:
+ module = load_stats()
+ except Exception as exc:
+ print(f"could not load stats.py: {exc}")
+ write_reward(0.0, {name: 0.0 for name, _ in CHECKS})
+ return 1
+
+ for name, check in CHECKS:
+ try:
+ passed = bool(check(module))
+ except Exception as exc:
+ passed = False
+ print(f"{name}: raised {type(exc).__name__}: {exc}")
+ results[name] = 1.0 if passed else 0.0
+ print(f"{name}: {'PASS' if passed else 'FAIL'}")
+
+ reward = sum(results.values()) / len(results)
+ print(f"score: {reward:.4f} ({int(sum(results.values()))}/{len(results)} checks)")
+ write_reward(reward, results)
+ return 0 if reward == 1.0 else 1
+
+
+def write_reward(reward: float, checks: dict[str, float]) -> None:
+ LOGS_DIR.mkdir(parents=True, exist_ok=True)
+ payload = {"reward": round(reward, 6), **checks}
+ (LOGS_DIR / "reward.json").write_text(
+ json.dumps(payload, indent=2), encoding="utf-8"
+ )
+ (LOGS_DIR / "reward.txt").write_text(f"{reward:.6f}\n", encoding="utf-8")
+
+
+if __name__ == "__main__":
+ sys.exit(main())
diff --git a/envs/harbor_env/examples/tasks/fix-sum-bug/tests/test.sh b/envs/harbor_env/examples/tasks/fix-sum-bug/tests/test.sh
new file mode 100755
index 000000000..9f2f3b913
--- /dev/null
+++ b/envs/harbor_env/examples/tasks/fix-sum-bug/tests/test.sh
@@ -0,0 +1,28 @@
+#!/bin/bash
+# Harbor verifier entry point.
+#
+# Contract: write the reward into the verifier log directory — `reward.json` for a
+# graded score, `reward.txt` for a single number. The exit code is NOT the verdict.
+#
+# Portability: prefer the $HARBOR_* variables when they are set, and fall back to
+# Harbor's absolute container paths otherwise. That keeps one script working under
+# `harbor run` (absolute paths inside a container) and under OpenEnv's local
+# backend (a per-episode directory tree).
+set -uo pipefail
+
+LOGS_DIR="${HARBOR_LOGS_DIR:-/logs/verifier}"
+TESTS_DIR="${HARBOR_TESTS_DIR:-/tests}"
+WORKDIR="${HARBOR_WORKDIR:-$(pwd)}"
+
+mkdir -p "$LOGS_DIR"
+
+PYTHON="$(command -v python3 || command -v python)"
+if [ -z "$PYTHON" ]; then
+ echo "no python interpreter available" >&2
+ exit 0
+fi
+
+HARBOR_LOGS_DIR="$LOGS_DIR" HARBOR_WORKDIR="$WORKDIR" \
+ "$PYTHON" "$TESTS_DIR/grade.py" 2>&1 | tee "$LOGS_DIR/verifier.log"
+
+exit 0
diff --git a/envs/harbor_env/examples/validate_taskset.py b/envs/harbor_env/examples/validate_taskset.py
new file mode 100644
index 000000000..f9b94a8f4
--- /dev/null
+++ b/envs/harbor_env/examples/validate_taskset.py
@@ -0,0 +1,124 @@
+# SPDX-License-Identifier: BSD-3-Clause
+
+"""Validate a Harbor task set by running each task's own reference solution.
+
+This is the check to run against a freshly generated task set — the equivalent
+of Harbor's oracle agent (`harbor run -a oracle`). A task whose own solution
+does not score full reward is broken, and training against it teaches nothing.
+
+```bash
+# the bundled example task
+PYTHONPATH=src:envs uv run python envs/harbor_env/examples/validate_taskset.py
+
+# a task set you generated with Repo2RLEnv (image-backed, so Docker mode)
+PYTHONPATH=src:envs uv run --with docker python envs/harbor_env/examples/validate_taskset.py \\
+ --tasks ./tasks --mode docker
+
+# straight from the Hub
+PYTHONPATH=src:envs uv run --with docker python envs/harbor_env/examples/validate_taskset.py \\
+ --tasks hf://datasets/my-org/click-pr-tasks --mode docker
+```
+
+Runs in-process against the environment, so no server is needed.
+"""
+
+from __future__ import annotations
+
+import argparse
+import sys
+from dataclasses import dataclass
+
+from harbor_env import HarborAction
+from harbor_env.server import HarborEnvironment
+from harbor_env.server.harbor_env_environment import DEFAULT_MODE
+
+
+#: A task whose oracle scores below this is treated as broken.
+PASS_THRESHOLD = 1.0
+
+
+@dataclass
+class Outcome:
+ task_id: str
+ reward: float | None
+ detail: str
+
+ @property
+ def ok(self) -> bool:
+ return self.reward is not None and self.reward >= PASS_THRESHOLD
+
+ def __str__(self) -> str:
+ mark = "PASS" if self.ok else "FAIL"
+ score = "n/a" if self.reward is None else f"{self.reward:.3f}"
+ return f"[{mark}] {self.task_id:<40} reward={score:<7} {self.detail}"
+
+
+def validate(env: HarborEnvironment, task_id: str) -> Outcome:
+ """Reset, apply the task's own solution, and grade it."""
+ try:
+ env.reset(task_id=task_id)
+ except Exception as exc:
+ return Outcome(task_id, None, f"reset failed: {exc}")
+
+ solved = env.step(HarborAction(action_type="solve"))
+ if not solved.success:
+ return Outcome(
+ task_id, None, f"solution failed: {solved.error or solved.output[-200:]}"
+ )
+
+ graded = env.step(HarborAction(action_type="evaluate"))
+ detail = "" if graded.success else (graded.error or "")
+ return Outcome(task_id, graded.reward, detail)
+
+
+def main() -> int:
+ parser = argparse.ArgumentParser(description=__doc__)
+ parser.add_argument(
+ "--tasks", default=None, help="task directory or hf://datasets//"
+ )
+ parser.add_argument(
+ "--mode",
+ default=DEFAULT_MODE,
+ choices=["docker", "local"],
+ help=(
+ f"sandbox backend (default: {DEFAULT_MODE}). `local` needs no Docker but "
+ "only runs self-contained tasks that declare no network, resource or user "
+ "policy."
+ ),
+ )
+ parser.add_argument("--limit", type=int, default=None, help="stop after N tasks")
+ args = parser.parse_args()
+
+ env = HarborEnvironment(
+ tasks=args.tasks,
+ mode=args.mode,
+ # This script *is* the orchestration: it must be able to solve and
+ # grade even where the serving deployment disables those controls.
+ allow_control_actions=True,
+ )
+ task_ids = env.catalog.task_ids()[: args.limit]
+ if not task_ids:
+ print(f"no Harbor tasks found under {env.catalog.root}", file=sys.stderr)
+ return 1
+
+ print(
+ f"validating {len(task_ids)} task(s) from {env.catalog.root} in {args.mode} mode\n"
+ )
+ outcomes = []
+ try:
+ for task_id in task_ids:
+ outcome = validate(env, task_id)
+ outcomes.append(outcome)
+ print(outcome)
+ finally:
+ env.close()
+
+ failed = [o for o in outcomes if not o.ok]
+ print(
+ f"\n{len(outcomes) - len(failed)}/{len(outcomes)} tasks solvable by their own oracle"
+ )
+ return 1 if failed else 0
+
+
+if __name__ == "__main__":
+ sys.exit(main())
diff --git a/envs/harbor_env/models.py b/envs/harbor_env/models.py
new file mode 100644
index 000000000..f64edce8e
--- /dev/null
+++ b/envs/harbor_env/models.py
@@ -0,0 +1,149 @@
+# SPDX-License-Identifier: BSD-3-Clause
+
+"""Wire types for the Harbor environment.
+
+Shared by the client and the server; neither side imports the other.
+"""
+
+from typing import Any, get_args, Literal, Union
+
+from openenv.core.env_server.types import Action, Observation, State
+from pydantic import Field
+
+
+#: Actions an agent may take while solving the task.
+AgentActionType = Literal["exec", "read", "write"]
+
+#: Actions reserved for training orchestration. `evaluate` grades the episode and
+#: `solve` runs the task's own reference solution; neither is part of the agent's
+#: action space, mirroring OpenEnv's rule that simulation control stays on the
+#: infrastructure side of the boundary.
+ControlActionType = Literal["evaluate", "solve"]
+
+#: Every action the server accepts. Composed from the two sets above rather than
+#: restated, so the wire schema and the agent/orchestration split cannot drift:
+#: a new action has to be classified as one or the other to exist at all.
+HarborActionType = Union[AgentActionType, ControlActionType]
+
+AGENT_ACTIONS: frozenset[str] = frozenset(get_args(AgentActionType))
+CONTROL_ACTIONS: frozenset[str] = frozenset(get_args(ControlActionType))
+
+
+class HarborAction(Action):
+ """One interaction with a Harbor task sandbox.
+
+ Args:
+ action_type (`str`, *optional*, defaults to `"exec"`):
+ One of `"exec"`, `"read"`, `"write"` (agent actions), or
+ `"evaluate"`, `"solve"` (orchestration actions).
+ command (`str`, *optional*):
+ Shell command, for `action_type="exec"`.
+ path (`str`, *optional*):
+ Path relative to the working directory, for `"read"` and `"write"`.
+ content (`str`, *optional*):
+ File contents, for `"write"`.
+ timeout_s (`float`, *optional*):
+ Overrides the default command timeout. Ignored by `"evaluate"` and
+ `"solve"`, which use the timeouts declared in `task.toml`.
+
+ Examples:
+
+ ```python
+ HarborAction(action_type="exec", command="pytest -q")
+ HarborAction(action_type="write", path="calc.py", content="def add(a, b):\\n return a + b\\n")
+ HarborAction(action_type="evaluate")
+ ```
+ """
+
+ action_type: HarborActionType = Field(default="exec")
+ command: str = Field(default="")
+ path: str = Field(default="")
+ content: str = Field(default="")
+ timeout_s: float | None = Field(default=None, gt=0)
+
+
+class HarborObservation(Observation):
+ """What the sandbox reported back.
+
+ Args:
+ instruction (`str`):
+ The task's `instruction.md`, repeated on every step so a stateless
+ policy can always see the goal.
+ output (`str`):
+ Merged stdout/stderr of the command, file contents for `"read"`, or a
+ short confirmation for `"write"`.
+ action_type (`str`):
+ The action this observation answers, or `"reset"`.
+ success (`bool`):
+ Whether the action itself completed. Unrelated to the reward: a
+ failing test command is a successful `exec`.
+ error (`str`):
+ Why the action failed, when it did.
+ exit_code (`int`, *optional*):
+ Exit status, for actions that ran a command.
+ timed_out (`bool`):
+ Whether the command was killed by its timeout.
+ task_id (`str`):
+ Identifier of the running task.
+ task_name (`str`):
+ The task's `[task].name`, conventionally `/`.
+ workdir (`str`):
+ Working directory inside the sandbox; `path` is relative to it.
+ mode (`str`):
+ Sandbox backend in use, `"local"` or `"docker"`.
+ info (`dict`):
+ Extra detail — the reward breakdown after `"evaluate"`, the task
+ digest after `reset()`.
+ """
+
+ instruction: str = Field(default="")
+ output: str = Field(default="")
+ action_type: str = Field(default="")
+ success: bool = Field(default=True)
+ error: str = Field(default="")
+ exit_code: int | None = Field(default=None)
+ timed_out: bool = Field(default=False)
+ task_id: str = Field(default="")
+ task_name: str = Field(default="")
+ workdir: str = Field(default="")
+ mode: str = Field(default="")
+ info: dict[str, Any] = Field(default_factory=dict)
+
+
+class HarborState(State):
+ """Server-side episode state, for training orchestration.
+
+ Args:
+ task_id (`str`):
+ Identifier of the running task, empty before the first `reset()`.
+ task_name (`str`):
+ The task's `[task].name`.
+ workdir (`str`):
+ Working directory inside the sandbox.
+ mode (`str`):
+ Sandbox backend in use.
+ available_tasks (`list[str]`):
+ Task identifiers discovered in the catalog, truncated for large
+ catalogs — see `task_count` for the true total.
+ task_count (`int`):
+ Number of tasks in the catalog.
+ last_action_type (`str`):
+ The most recent action.
+ last_exit_code (`int`, *optional*):
+ Exit status of the most recent command.
+ evaluated (`bool`):
+ Whether the verifier has run; the episode ends when it has.
+ reward (`float`, *optional*):
+ Reward reported by the verifier, once it has run.
+ """
+
+ task_id: str = Field(default="")
+ task_name: str = Field(default="")
+ workdir: str = Field(default="")
+ mode: str = Field(default="")
+ available_tasks: list[str] = Field(default_factory=list)
+ task_count: int = Field(default=0)
+ last_action_type: str = Field(default="")
+ last_exit_code: int | None = Field(default=None)
+ evaluated: bool = Field(default=False)
+ reward: float | None = Field(default=None)
diff --git a/envs/harbor_env/openenv.yaml b/envs/harbor_env/openenv.yaml
new file mode 100644
index 000000000..5f90cb085
--- /dev/null
+++ b/envs/harbor_env/openenv.yaml
@@ -0,0 +1,10 @@
+spec_version: 1
+name: harbor_env
+version: "0.1.0"
+description: "Run Harbor task directories — including everything Repo2RLEnv emits — as an OpenEnv environment"
+type: space
+runtime: fastapi
+app: server.app:app
+port: 8000
+action: HarborAction
+observation: HarborObservation
diff --git a/envs/harbor_env/pyproject.toml b/envs/harbor_env/pyproject.toml
new file mode 100644
index 000000000..64353ceb7
--- /dev/null
+++ b/envs/harbor_env/pyproject.toml
@@ -0,0 +1,41 @@
+# SPDX-License-Identifier: BSD-3-Clause
+
+[build-system]
+requires = ["setuptools>=45", "wheel"]
+build-backend = "setuptools.build_meta"
+
+[project]
+name = "openenv-harbor_env"
+version = "0.1.0"
+description = "Run Harbor task directories as an OpenEnv environment"
+requires-python = ">=3.10"
+dependencies = [
+ # OpenEnv runtime: FastAPI server + WebSocket client types
+ "openenv>=0.2.3",
+ # Loading task sets straight from a Hugging Face dataset
+ "huggingface_hub>=0.20.0",
+ # Docker execution mode — the faithful backend for image-backed tasks
+ "docker>=7.1.0",
+ # tomllib is stdlib from 3.11
+ "tomli>=2.0.0; python_version < '3.11'",
+]
+
+[project.optional-dependencies]
+dev = [
+ "pytest>=9.0.0",
+ "pytest-cov>=7.0.0",
+]
+
+[project.scripts]
+# Server entry point - enables running via: uv run --project . server
+# or: python -m harbor_env.server.app
+server = "harbor_env.server.app:main"
+
+[tool.setuptools]
+include-package-data = true
+packages = ["harbor_env", "harbor_env.server"]
+package-dir = { "harbor_env" = ".", "harbor_env.server" = "server" }
+
+[tool.setuptools.package-data]
+# Ship the bundled example tasks so a fresh install has something to run.
+"harbor_env" = ["examples/tasks/**/*"]
diff --git a/envs/harbor_env/server/Dockerfile b/envs/harbor_env/server/Dockerfile
new file mode 100644
index 000000000..233133add
--- /dev/null
+++ b/envs/harbor_env/server/Dockerfile
@@ -0,0 +1,73 @@
+# SPDX-License-Identifier: BSD-3-Clause
+
+# Multi-stage build using openenv-base.
+# Works for both in-repo builds (local OpenEnv sources) and standalone builds
+# (openenv from PyPI); `openenv build` sets BUILD_MODE accordingly.
+
+ARG BASE_IMAGE=ghcr.io/huggingface/openenv-base:latest
+FROM ${BASE_IMAGE} AS builder
+
+WORKDIR /app
+
+# git is needed to install dependencies from VCS refs; curl bootstraps uv when
+# the base image does not already carry it.
+RUN apt-get update && \
+ apt-get install -y --no-install-recommends ca-certificates curl git && \
+ rm -rf /var/lib/apt/lists/*
+
+ARG BUILD_MODE=in-repo
+ARG ENV_NAME=harbor_env
+
+COPY . /app/env
+WORKDIR /app/env
+
+# uv may be absent from locally built base images.
+RUN if ! command -v uv >/dev/null 2>&1; then \
+ curl -LsSf https://astral.sh/uv/install.sh | sh && \
+ mv /root/.local/bin/uv /usr/local/bin/uv && \
+ mv /root/.local/bin/uvx /usr/local/bin/uvx; \
+ fi
+
+RUN --mount=type=cache,target=/root/.cache/uv \
+ if [ -f uv.lock ]; then \
+ uv sync --frozen --no-install-project --no-editable; \
+ else \
+ uv sync --no-install-project --no-editable; \
+ fi
+
+RUN --mount=type=cache,target=/root/.cache/uv \
+ if [ -f uv.lock ]; then \
+ uv sync --frozen --no-editable; \
+ else \
+ uv sync --no-editable; \
+ fi
+
+# Final runtime stage
+FROM ${BASE_IMAGE}
+
+WORKDIR /app
+
+# Harbor verifiers commonly shell out to git, bash and coreutils; `timeout`
+# bounds commands in the local backend's subprocesses, and curl backs HEALTHCHECK.
+RUN apt-get update && \
+ apt-get install -y --no-install-recommends bash coreutils curl git && \
+ rm -rf /var/lib/apt/lists/*
+
+COPY --from=builder /app/env/.venv /app/.venv
+COPY --from=builder /app/env /app/env
+
+ENV PATH="/app/.venv/bin:$PATH"
+ENV PYTHONPATH="/app/env:${PYTHONPATH:-}"
+ENV ENABLE_WEB_INTERFACE=true
+
+# Point at your own task set with `-e HARBOR_TASKS_DIR=...`; the default serves
+# the bundled example task so the image is useful out of the box.
+# The library default is `docker`. Inside this image there is no daemon unless
+# the host socket is mounted, so the image ships `local` and the docs show the
+# `-e HARBOR_MODE=docker -v /var/run/docker.sock:...` invocation for real task sets.
+ENV HARBOR_MODE=local
+
+HEALTHCHECK --interval=30s --timeout=3s --start-period=5s --retries=3 \
+ CMD curl -f http://localhost:8000/health || exit 1
+
+CMD ["sh", "-c", "cd /app/env && uvicorn server.app:app --host 0.0.0.0 --port 8000"]
diff --git a/envs/harbor_env/server/__init__.py b/envs/harbor_env/server/__init__.py
new file mode 100644
index 000000000..3d3c1d288
--- /dev/null
+++ b/envs/harbor_env/server/__init__.py
@@ -0,0 +1,34 @@
+# SPDX-License-Identifier: BSD-3-Clause
+
+"""Server-side components of the Harbor environment."""
+
+from .harbor_env_environment import HarborEnvironment
+from .reward import read_reward, RewardReport
+from .sandbox import (
+ create_sandbox,
+ DockerSandbox,
+ ExecResult,
+ LocalSandbox,
+ Sandbox,
+ SandboxError,
+ SandboxPaths,
+)
+from .task import HarborTask, resolve_task_source, TaskCatalog, TaskFormatError
+
+
+__all__ = [
+ "DockerSandbox",
+ "ExecResult",
+ "HarborEnvironment",
+ "HarborTask",
+ "LocalSandbox",
+ "RewardReport",
+ "Sandbox",
+ "SandboxError",
+ "SandboxPaths",
+ "TaskCatalog",
+ "TaskFormatError",
+ "create_sandbox",
+ "read_reward",
+ "resolve_task_source",
+]
diff --git a/envs/harbor_env/server/app.py b/envs/harbor_env/server/app.py
new file mode 100644
index 000000000..3a1265362
--- /dev/null
+++ b/envs/harbor_env/server/app.py
@@ -0,0 +1,85 @@
+# SPDX-License-Identifier: BSD-3-Clause
+
+"""FastAPI application for the Harbor environment.
+
+Run it directly:
+
+```bash
+HARBOR_TASKS_DIR=./tasks uv run --project envs/harbor_env server
+```
+
+or through the image built from `server/Dockerfile`.
+
+Configuration (all optional):
+
+| Variable | Default | Meaning |
+| ------------------------- | ------------------ | ---------------------------------------------------------- |
+| `HARBOR_TASKS_DIR` | bundled examples | Task directory, or `hf://datasets//` |
+| `HARBOR_MODE` | `docker` | Sandbox backend: `docker` or `local` |
+| `HARBOR_DEFAULT_TASK_ID` | — | Task used when `reset()` names none |
+| `HARBOR_COMMAND_TIMEOUT_S`| `120` | Timeout for agent `exec` actions |
+| `HARBOR_DEFAULT_IMAGE` | `python:3.12-slim` | Image for self-contained tasks in `docker` mode |
+| `MAX_CONCURRENT_ENVS` | `8` | Concurrent WebSocket sessions |
+| `HARBOR_ALLOW_CONTROL_ACTIONS` | `1` | Accept `evaluate` / `solve`; set `0` for agent-facing runs |
+"""
+
+import os
+
+
+try:
+ # In-repo imports (when running from OpenEnv repository)
+ from harbor_env.models import HarborAction, HarborObservation
+ from openenv.core.env_server.http_server import create_app
+
+ from .harbor_env_environment import (
+ DEFAULT_COMMAND_TIMEOUT_S,
+ DEFAULT_MODE,
+ HarborEnvironment,
+ )
+except ImportError:
+ # Standalone imports (when environment is standalone with openenv from pip)
+ from models import HarborAction, HarborObservation
+ from openenv.core.env_server.http_server import create_app
+ from server.harbor_env_environment import (
+ DEFAULT_COMMAND_TIMEOUT_S,
+ DEFAULT_MODE,
+ HarborEnvironment,
+ )
+
+
+_MODE = (os.getenv("HARBOR_MODE") or DEFAULT_MODE).lower()
+
+
+def _build_environment() -> HarborEnvironment:
+ """Factory called once per session by the server."""
+ return HarborEnvironment(
+ command_timeout_s=float(
+ os.getenv("HARBOR_COMMAND_TIMEOUT_S", DEFAULT_COMMAND_TIMEOUT_S)
+ ),
+ )
+
+
+app = create_app(
+ _build_environment,
+ HarborAction,
+ HarborObservation,
+ env_name=f"harbor_env ({_MODE} mode)",
+ max_concurrent_envs=int(os.getenv("MAX_CONCURRENT_ENVS", "8")),
+)
+
+
+def main(host: str = "0.0.0.0", port: int = 8000) -> None:
+ """Entry point for `uv run --project envs/harbor_env server`."""
+ import uvicorn
+
+ uvicorn.run(app, host=host, port=port)
+
+
+if __name__ == "__main__":
+ import argparse
+
+ parser = argparse.ArgumentParser(description=__doc__)
+ parser.add_argument("--host", default="0.0.0.0")
+ parser.add_argument("--port", type=int, default=8000)
+ args = parser.parse_args()
+ main(host=args.host, port=args.port)
diff --git a/envs/harbor_env/server/harbor_env_environment.py b/envs/harbor_env/server/harbor_env_environment.py
new file mode 100644
index 000000000..2cd2e9a29
--- /dev/null
+++ b/envs/harbor_env/server/harbor_env_environment.py
@@ -0,0 +1,474 @@
+# SPDX-License-Identifier: BSD-3-Clause
+
+"""The Harbor environment server.
+
+Serves a directory of [Harbor](https://www.harborframework.com/docs/tasks) task
+directories as a Gymnasium-style OpenEnv environment. The task directory is the
+interface: the very same directory runs under `harbor run`, so a task set built
+with [Repo2RLEnv](https://github.com/huggingface/Repo2RLEnv) needs no conversion
+to be trained against here.
+
+This module is deliberately thin. It resolves which task to run
+(`task.TaskCatalog`), asks a backend to execute things (`sandbox.Sandbox`), and
+forwards the verifier's verdict (`reward.RewardReport`). It never computes a
+reward itself.
+"""
+
+from __future__ import annotations
+
+import logging
+import os
+from typing import Any, Callable
+from uuid import uuid4
+
+from openenv.core.env_server.interfaces import Environment
+
+
+# Support both in-repo and standalone imports
+try:
+ # In-repo imports (when running from OpenEnv repository)
+ from harbor_env.models import (
+ CONTROL_ACTIONS,
+ HarborAction,
+ HarborObservation,
+ HarborState,
+ )
+ from harbor_env.server.sandbox import (
+ create_sandbox,
+ ExecResult,
+ Sandbox,
+ SandboxError,
+ )
+ from harbor_env.server.task import HarborTask, resolve_task_source, TaskCatalog
+except ImportError:
+ # Standalone imports (when environment is standalone with openenv from pip)
+ from models import (
+ CONTROL_ACTIONS,
+ HarborAction,
+ HarborObservation,
+ HarborState,
+ )
+ from sandbox import (
+ create_sandbox,
+ ExecResult,
+ Sandbox,
+ SandboxError,
+ )
+ from task import HarborTask, resolve_task_source, TaskCatalog
+
+
+logger = logging.getLogger(__name__)
+
+DEFAULT_COMMAND_TIMEOUT_S = 120.0
+
+#: Sandbox backend used when `HARBOR_MODE` is unset. Docker is the faithful
+#: backend and the only one that can enforce a task's network, resource and
+#: user policies, so it is the default; `local` is an explicit opt-in for
+#: Docker-less hosts such as Hugging Face Spaces.
+DEFAULT_MODE = "docker"
+
+#: Upper bound on how many task ids [`HarborState.available_tasks`] carries, so
+#: a catalog with thousands of tasks does not bloat every state response.
+MAX_LISTED_TASKS = 200
+
+
+def _env_flag(name: str, default: bool) -> bool:
+ """Read a boolean environment variable."""
+ raw = os.getenv(name)
+ if raw is None:
+ return default
+ return raw.strip().lower() not in {"0", "false", "no", "off", ""}
+
+
+_ActionHandler = Callable[[HarborAction, Sandbox, HarborTask], HarborObservation]
+
+
+class HarborEnvironment(Environment[HarborAction, HarborObservation, HarborState]):
+ """Runs Harbor task directories as an OpenEnv environment.
+
+ Each `reset()` starts a fresh sandbox for one task; the agent then works
+ through `exec` / `read` / `write` actions, and the training loop ends the
+ episode with `evaluate`, which runs the task's own `tests/test.sh` and
+ forwards whatever reward it wrote.
+
+ Args:
+ tasks (`str`, *optional*):
+ Where tasks live: a local directory, or a Hugging Face dataset
+ reference such as `hf://datasets//`. Defaults to
+ `$HARBOR_TASKS_DIR`, then to the bundled example tasks.
+ mode (`str`, *optional*):
+ Sandbox backend, `"local"` or `"docker"`. Defaults to `$HARBOR_MODE`,
+ then `"local"`.
+ default_task_id (`str`, *optional*):
+ Task used when `reset()` is called without one. Defaults to
+ `$HARBOR_DEFAULT_TASK_ID`.
+ command_timeout_s (`float`, *optional*, defaults to `120.0`):
+ Timeout applied to agent `exec` actions. The verifier and the oracle
+ instead use the timeouts declared in `task.toml`.
+ allow_control_actions (`bool`, *optional*, defaults to `True`):
+ Whether `evaluate` and `solve` are accepted. They are training
+ controls, not agent actions — set this to `False` (or
+ `HARBOR_ALLOW_CONTROL_ACTIONS=0`) when the same socket is reachable
+ by a policy, so the split is enforced by the server rather than by
+ convention. A run that disables them has no way to score itself, so
+ it is only useful for agent-facing deployments.
+ sandbox_factory (`Callable[[str], Sandbox]`, *optional*):
+ Builds the sandbox for a mode. Injected by tests; defaults to
+ `sandbox.create_sandbox`.
+
+ Examples:
+
+ ```python
+ env = HarborEnvironment(tasks="./tasks", mode="docker")
+ obs = env.reset(task_id="pallets__click-2951")
+ env.step(HarborAction(action_type="write", path="src/click/core.py", content=fixed))
+ result = env.step(HarborAction(action_type="evaluate"))
+ result.reward # whatever tests/test.sh wrote to /logs/verifier
+ ```
+ """
+
+ # Every episode gets its own sandbox and its own working directory, so
+ # sessions never share mutable state.
+ SUPPORTS_CONCURRENT_SESSIONS: bool = True
+
+ def __init__(
+ self,
+ tasks: str | None = None,
+ mode: str | None = None,
+ default_task_id: str | None = None,
+ command_timeout_s: float = DEFAULT_COMMAND_TIMEOUT_S,
+ allow_control_actions: bool | None = None,
+ sandbox_factory: Callable[[str], Sandbox] | None = None,
+ ) -> None:
+ super().__init__()
+ self.mode = (mode or os.getenv("HARBOR_MODE") or DEFAULT_MODE).lower()
+ self.command_timeout_s = command_timeout_s
+ self.allow_control_actions = (
+ allow_control_actions
+ if allow_control_actions is not None
+ else _env_flag("HARBOR_ALLOW_CONTROL_ACTIONS", default=True)
+ )
+ self.default_task_id = (
+ default_task_id or os.getenv("HARBOR_DEFAULT_TASK_ID") or None
+ )
+ self._sandbox_factory = sandbox_factory or self._default_sandbox_factory
+ self.catalog = TaskCatalog(
+ resolve_task_source(tasks or os.getenv("HARBOR_TASKS_DIR"))
+ )
+
+ self._task: HarborTask | None = None
+ self._sandbox: Sandbox | None = None
+ self._state = HarborState(mode=self.mode)
+ self._refresh_catalog_state()
+
+ self._handlers: dict[str, _ActionHandler] = {
+ "exec": self._do_exec,
+ "read": self._do_read,
+ "write": self._do_write,
+ "evaluate": self._do_evaluate,
+ "solve": self._do_solve,
+ }
+
+ # --- Gymnasium API ------------------------------------------------------
+
+ def reset(
+ self,
+ seed: int | None = None,
+ episode_id: str | None = None,
+ **kwargs: Any,
+ ) -> HarborObservation:
+ """Start a fresh episode on one task.
+
+ Args:
+ seed (`int`, *optional*):
+ Unused; Harbor tasks are deterministic by construction.
+ episode_id (`str`, *optional*):
+ Identifier recorded in the state.
+ task_id (`str`, *optional*):
+ Which task to run. Defaults to `default_task_id`, or to the only
+ task in the catalog when there is exactly one.
+
+ Returns:
+ [`HarborObservation`] carrying the task's instruction.
+ """
+ del seed
+
+ self.close()
+ # A failed reset must not leave the previous episode's state behind.
+ # close() has already torn the sandbox down, so anything read from
+ # `state` after a raise below would describe a task that is no longer
+ # running. Drop to "no episode" first, then do the work that can fail.
+ self._state = HarborState(mode=self.mode)
+ self._refresh_catalog_state()
+
+ task = self.catalog.get(self._select_task_id(kwargs.get("task_id")))
+ sandbox = self._sandbox_factory(self.mode)
+ try:
+ sandbox.start(task)
+ except Exception:
+ sandbox.close()
+ raise
+
+ self._task = task
+ self._sandbox = sandbox
+ self._state = HarborState(
+ episode_id=episode_id or str(uuid4()),
+ task_id=task.task_id,
+ task_name=task.name,
+ workdir=sandbox.paths.workdir,
+ mode=sandbox.mode,
+ )
+ self._refresh_catalog_state()
+
+ info: dict[str, Any] = {
+ "task": task.summary(),
+ # Agent-visible paths only — the observation reaches the policy,
+ # and the verifier/oracle directories are not its business.
+ "paths": sandbox.paths.as_env(agent_visible=True),
+ }
+ if sandbox.mode == "local" and task.docker_image:
+ # Visible to the training run, not just the server log: the task
+ # named a toolchain this backend is not providing.
+ info["toolchain_warning"] = (
+ f"task declares docker_image={task.docker_image!r} but is running on "
+ "the host toolchain; use HARBOR_MODE=docker for a faithful result"
+ )
+ return self._observe(action_type="reset", output="", info=info)
+
+ def step(
+ self,
+ action: HarborAction,
+ timeout_s: float | None = None,
+ **kwargs: Any,
+ ) -> HarborObservation:
+ """Apply one action to the running episode."""
+ del timeout_s, kwargs
+
+ if not isinstance(action, HarborAction):
+ raise TypeError(f"expected HarborAction, got {type(action).__name__}")
+
+ self._state.step_count += 1
+ self._state.last_action_type = action.action_type
+
+ try:
+ if self._state.evaluated:
+ # `evaluate` ends the episode. Serving further actions would let
+ # a trainer keep stepping past a terminal state and, worse,
+ # report done=False after already reporting done=True.
+ raise SandboxError(
+ "the episode ended when the verifier ran; call reset() to "
+ "start another"
+ )
+ if action.action_type in CONTROL_ACTIONS and not self.allow_control_actions:
+ raise PermissionError(
+ f"{action.action_type!r} is a training-orchestration control, not "
+ "an agent action; the server was started with "
+ "HARBOR_ALLOW_CONTROL_ACTIONS=0"
+ )
+ sandbox, task = self._require_episode()
+ return self._handlers[action.action_type](action, sandbox, task)
+ except Exception as exc:
+ # Invalid actions and sandbox failures end up in the observation so a
+ # policy can recover; only server faults propagate.
+ logger.info("action %s failed: %s", action.action_type, exc)
+ return self._observe(
+ action_type=action.action_type,
+ output="",
+ success=False,
+ error=str(exc),
+ # A terminated episode stays terminated — never walk done back.
+ done=self._state.evaluated,
+ reward=None,
+ )
+
+ @property
+ def state(self) -> HarborState:
+ """Current episode state."""
+ return self._state
+
+ def close(self) -> None:
+ """Tear down the running sandbox, if any."""
+ if self._sandbox is not None:
+ self._sandbox.close()
+ self._sandbox = None
+ self._task = None
+
+ # --- action handlers ----------------------------------------------------
+
+ def _do_exec(
+ self, action: HarborAction, sandbox: Sandbox, task: HarborTask
+ ) -> HarborObservation:
+ del task
+ if not action.command.strip():
+ raise ValueError("exec requires a non-empty command")
+ # `timeout_s` arrives on the wire, so it is policy-controlled. Treat the
+ # configured value as a ceiling rather than a default: an unbounded
+ # command would otherwise pin a training slot indefinitely.
+ timeout_s = min(
+ action.timeout_s or self.command_timeout_s, self.command_timeout_s
+ )
+ result = sandbox.exec(
+ action.command,
+ timeout_s=timeout_s,
+ env=sandbox.task_env,
+ user=sandbox.agent_user,
+ agent_visible=True,
+ )
+ return self._from_exec("exec", result)
+
+ def _do_read(
+ self, action: HarborAction, sandbox: Sandbox, task: HarborTask
+ ) -> HarborObservation:
+ del task
+ target = sandbox.resolve_agent_path(action.path)
+ content = sandbox.read_text(target, user=sandbox.agent_user)
+ if content is None:
+ raise FileNotFoundError(f"no such file: {action.path}")
+ return self._observe("read", output=content)
+
+ def _do_write(
+ self, action: HarborAction, sandbox: Sandbox, task: HarborTask
+ ) -> HarborObservation:
+ del task
+ target = sandbox.resolve_agent_path(action.path)
+ sandbox.write_text(target, action.content, user=sandbox.agent_user)
+ return self._observe(
+ "write", output=f"wrote {len(action.content)} bytes to {action.path}"
+ )
+
+ def _do_evaluate(
+ self, action: HarborAction, sandbox: Sandbox, task: HarborTask
+ ) -> HarborObservation:
+ """Run the task's verifier and forward its reward. Ends the episode."""
+ del action
+ # Terminate first. Staging puts the verifier's own files in the
+ # sandbox, so a failure anywhere below must still end the episode —
+ # otherwise a task whose verifier user is wrong leaves /tests readable
+ # with the episode still running.
+ self._state.evaluated = True
+
+ result = sandbox.run_verifier(task)
+ report = sandbox.reward_report()
+
+ self._state.reward = report.value
+ self._state.last_exit_code = result.exit_code
+
+ info = {**report.as_info(), "verifier_exit_code": result.exit_code}
+ if not report.graded:
+ # No reward file means the episode cannot be scored. Say so instead of
+ # inventing a number that would be indistinguishable from a real 0.0.
+ error = (
+ "the verifier wrote no reward file to "
+ f"{sandbox.paths.logs_verifier}; the episode cannot be scored"
+ )
+ hint = sandbox.explain_missing_reward(task)
+ if hint:
+ error = f"{error}. {hint}"
+ return self._observe(
+ "evaluate",
+ output=result.output,
+ success=False,
+ error=error,
+ exit_code=result.exit_code,
+ timed_out=result.timed_out,
+ done=True,
+ info=info,
+ )
+ return self._observe(
+ "evaluate",
+ output=result.output,
+ exit_code=result.exit_code,
+ timed_out=result.timed_out,
+ reward=report.value,
+ done=True,
+ info=info,
+ )
+
+ def _do_solve(
+ self, action: HarborAction, sandbox: Sandbox, task: HarborTask
+ ) -> HarborObservation:
+ """Apply the task's reference solution — Harbor's oracle agent.
+
+ Orchestration-only: it validates that a task is solvable and produces gold
+ trajectories. Follow it with `evaluate`, which should return the task's
+ maximum reward.
+ """
+ del action
+ result = sandbox.run_solution(task)
+ return self._from_exec("solve", result)
+
+ # --- observation plumbing -----------------------------------------------
+
+ def _from_exec(self, action_type: str, result: ExecResult) -> HarborObservation:
+ self._state.last_exit_code = result.exit_code
+ error = ""
+ if result.timed_out:
+ error = "command timed out"
+ return self._observe(
+ action_type,
+ output=result.output,
+ success=result.ok,
+ error=error,
+ exit_code=result.exit_code,
+ timed_out=result.timed_out,
+ )
+
+ def _observe(
+ self,
+ action_type: str,
+ output: str,
+ success: bool = True,
+ error: str = "",
+ exit_code: int | None = None,
+ timed_out: bool = False,
+ reward: float | None = None,
+ done: bool = False,
+ info: dict[str, Any] | None = None,
+ ) -> HarborObservation:
+ return HarborObservation(
+ instruction=self._task.instruction if self._task else "",
+ output=output,
+ action_type=action_type,
+ success=success,
+ error=error,
+ exit_code=exit_code,
+ timed_out=timed_out,
+ task_id=self._state.task_id,
+ task_name=self._state.task_name,
+ workdir=self._state.workdir,
+ mode=self._state.mode,
+ info=info or {},
+ reward=reward,
+ done=done,
+ )
+
+ # --- helpers ------------------------------------------------------------
+
+ def _default_sandbox_factory(self, mode: str) -> Sandbox:
+ if mode == "docker":
+ image = os.getenv("HARBOR_DEFAULT_IMAGE")
+ return create_sandbox(mode, **({"default_image": image} if image else {}))
+ return create_sandbox(mode)
+
+ def _select_task_id(self, requested: str | None) -> str:
+ task_id = requested or self.default_task_id
+ if task_id:
+ return task_id
+ available = self.catalog.task_ids()
+ if len(available) == 1:
+ return available[0]
+ raise ValueError(
+ "reset() needs a task_id: the catalog at "
+ f"{self.catalog.root} holds {len(available)} tasks. "
+ f"Available: {available[:10]}{' ...' if len(available) > 10 else ''}"
+ )
+
+ def _require_episode(self) -> tuple[Sandbox, HarborTask]:
+ if self._sandbox is None or self._task is None:
+ raise SandboxError("no episode is running; call reset() first")
+ return self._sandbox, self._task
+
+ def _refresh_catalog_state(self) -> None:
+ task_ids = self.catalog.task_ids()
+ self._state.task_count = len(task_ids)
+ self._state.available_tasks = task_ids[:MAX_LISTED_TASKS]
diff --git a/envs/harbor_env/server/reward.py b/envs/harbor_env/server/reward.py
new file mode 100644
index 000000000..45415caa4
--- /dev/null
+++ b/envs/harbor_env/server/reward.py
@@ -0,0 +1,189 @@
+# SPDX-License-Identifier: BSD-3-Clause
+
+"""Harbor's reward-file contract.
+
+A Harbor verifier communicates its verdict by writing files into
+`/logs/verifier/`, never through its exit code:
+
+| File | Format |
+| ------------- | ------------------------------------------ |
+| `reward.json` | flat JSON map of metric name -> int/float |
+| `reward.txt` | a single int/float |
+
+Harbor reads `reward.json` first and falls back to `reward.txt`; this module
+implements exactly that precedence.
+
+The reward is *produced inside the environment* and only forwarded from here —
+consistent with OpenEnv's "rewards in environment" invariant. When a verifier
+writes no reward file, [`RewardReport.value`] is `None`. We deliberately do not
+invent a reward from the exit code: a silently fabricated `0.0` is
+indistinguishable from a genuine failure and would poison training data.
+"""
+
+from __future__ import annotations
+
+import json
+from dataclasses import dataclass, field
+from typing import Any, Callable
+
+
+#: Reads a file name inside `/logs/verifier/`, returning `None` when it is absent.
+#: Taking a reader rather than a path keeps this logic identical for a local
+#: directory and for files inside a container.
+LogReader = Callable[[str], "str | None"]
+
+REWARD_JSON = "reward.json"
+REWARD_TXT = "reward.txt"
+
+#: Non-standard sidecar written by Repo2RLEnv verifiers. Harbor requires
+#: `reward.json` to be flat and numeric, so the nested component breakdown
+#: (f2p/p2p counts, diff-similarity components, judge status) lives here. It is
+#: surfaced for analysis but is never the source of the scalar reward.
+REWARD_DETAILS_JSON = "reward-details.json"
+
+#: Key treated as the scalar reward when `reward.json` carries several metrics.
+PRIMARY_METRIC = "reward"
+
+
+@dataclass(frozen=True)
+class RewardReport:
+ """The verdict recovered from a verifier's `/logs/verifier/` output.
+
+ Args:
+ value (`float`, *optional*):
+ The scalar reward, or `None` when the verifier wrote no reward file.
+ source (`str`):
+ Which artifact the scalar came from: `"reward.json"`, `"reward.txt"`,
+ or `"missing"`.
+ metrics (`dict[str, float]`):
+ Every numeric metric from `reward.json`.
+ details (`dict[str, Any]`):
+ Parsed `reward-details.json` sidecar, when present.
+ errors (`list[str]`):
+ Problems encountered while reading the artifacts.
+ """
+
+ value: float | None = None
+ source: str = "missing"
+ metrics: dict[str, float] = field(default_factory=dict)
+ details: dict[str, Any] = field(default_factory=dict)
+ errors: list[str] = field(default_factory=list)
+
+ @property
+ def graded(self) -> bool:
+ """Whether the verifier produced a usable reward."""
+ return self.value is not None
+
+ def as_info(self) -> dict[str, Any]:
+ """A JSON-serializable digest for `Observation.info`."""
+ info: dict[str, Any] = {"reward_source": self.source}
+ if self.metrics:
+ info["reward_metrics"] = self.metrics
+ if self.details:
+ info["reward_details"] = self.details
+ if self.errors:
+ info["reward_errors"] = self.errors
+ return info
+
+
+def read_reward(read_text: LogReader) -> RewardReport:
+ """Recover the verdict from a verifier log directory.
+
+ Args:
+ read_text ([`LogReader`]):
+ Reads a file name inside `/logs/verifier/`, returning `None` when it
+ does not exist.
+
+ Returns:
+ [`RewardReport`]
+
+ Examples:
+
+ ```python
+ report = read_reward(lambda name: (logs_dir / name).read_text() if (logs_dir / name).exists() else None)
+ report.value # 0.833333
+ report.source # 'reward.json'
+ ```
+ """
+ errors: list[str] = []
+ details = _load_details(read_text, errors)
+ metrics, scalar = _load_metrics(read_text, errors)
+
+ if scalar is not None:
+ return RewardReport(scalar, REWARD_JSON, metrics, details, errors)
+
+ scalar = _load_scalar_txt(read_text, errors)
+ if scalar is not None:
+ return RewardReport(scalar, REWARD_TXT, metrics, details, errors)
+
+ return RewardReport(None, "missing", metrics, details, errors)
+
+
+def _load_metrics(
+ read_text: LogReader, errors: list[str]
+) -> tuple[dict[str, float], float | None]:
+ """Parse `reward.json` into metrics plus, if unambiguous, a scalar."""
+ raw = _read(read_text, REWARD_JSON, errors)
+ if raw is None:
+ return {}, None
+
+ try:
+ payload = json.loads(raw)
+ except ValueError as exc:
+ errors.append(f"{REWARD_JSON} is not valid JSON: {exc}")
+ return {}, None
+ if not isinstance(payload, dict):
+ errors.append(
+ f"{REWARD_JSON} must be a JSON object, got {type(payload).__name__}"
+ )
+ return {}, None
+
+ metrics = {
+ str(key): float(val)
+ for key, val in payload.items()
+ # bool is an int subclass; Harbor's schema is numeric-only.
+ if isinstance(val, (int, float)) and not isinstance(val, bool)
+ }
+ if PRIMARY_METRIC in metrics:
+ return metrics, metrics[PRIMARY_METRIC]
+ if len(metrics) == 1:
+ return metrics, next(iter(metrics.values()))
+ if metrics:
+ # Several metrics and no agreed primary one: fall through to reward.txt
+ # rather than picking arbitrarily.
+ errors.append(
+ f"{REWARD_JSON} has no {PRIMARY_METRIC!r} key among {sorted(metrics)}; "
+ f"falling back to {REWARD_TXT}"
+ )
+ return metrics, None
+
+
+def _load_scalar_txt(read_text: LogReader, errors: list[str]) -> float | None:
+ raw = _read(read_text, REWARD_TXT, errors)
+ if raw is None:
+ return None
+ try:
+ return float(raw.strip())
+ except ValueError:
+ errors.append(f"{REWARD_TXT} is not a number: {raw.strip()[:80]!r}")
+ return None
+
+
+def _load_details(read_text: LogReader, errors: list[str]) -> dict[str, Any]:
+ raw = _read(read_text, REWARD_DETAILS_JSON, errors)
+ if raw is None:
+ return {}
+ try:
+ payload = json.loads(raw)
+ except ValueError as exc:
+ errors.append(f"{REWARD_DETAILS_JSON} is not valid JSON: {exc}")
+ return {}
+ return payload if isinstance(payload, dict) else {}
+
+
+def _read(read_text: LogReader, name: str, errors: list[str]) -> str | None:
+ try:
+ return read_text(name)
+ except Exception as exc: # pragma: no cover - backend-specific failures
+ errors.append(f"could not read {name}: {exc}")
+ return None
diff --git a/envs/harbor_env/server/sandbox.py b/envs/harbor_env/server/sandbox.py
new file mode 100644
index 000000000..7d3e159e9
--- /dev/null
+++ b/envs/harbor_env/server/sandbox.py
@@ -0,0 +1,982 @@
+# SPDX-License-Identifier: BSD-3-Clause
+
+"""Execution backends that implement Harbor's sandbox contract.
+
+Harbor tasks are written against a fixed filesystem layout inside the sandbox:
+
+| Path | Contents |
+| ----------------- | ------------------------------------------------------- |
+| working directory | what the agent edits (the image's `WORKDIR`) |
+| `/tests` | the task's `tests/`, staged by the harness before verify |
+| `/solution` | the task's `solution/`, staged only for the oracle |
+| `/logs/verifier` | where the verifier writes `reward.json` / `reward.txt` |
+| `/logs/agent` | scratch space for agent logs |
+
+[`Sandbox`] encodes that layout and the episode phases once; subclasses only
+provide five primitives (boot, exec, read, write, upload). Two backends ship:
+
+- [`DockerSandbox`] — runs inside the task's own image. This is the faithful
+ backend and the only one that can run tasks whose starting state lives in an
+ image (everything `repo2rlenv` emits with an `environment/Dockerfile`).
+- [`LocalSandbox`] — runs as subprocesses under a per-episode root directory.
+ No Docker, so it works on Hugging Face Spaces, and it is exact for
+ *self-contained* tasks that ship their starting state as `environment/` seed
+ files.
+"""
+
+from __future__ import annotations
+
+import base64
+import io
+import logging
+import os
+import posixpath
+import re
+import shutil
+import subprocess
+import tarfile
+import tempfile
+from abc import ABC, abstractmethod
+from dataclasses import dataclass
+from pathlib import Path
+
+
+try: # In-repo import (PYTHONPATH=src:envs)
+ from harbor_env.server.reward import read_reward, RewardReport
+ from harbor_env.server.task import (
+ HarborTask,
+ NETWORK_ALLOWLIST,
+ NETWORK_NONE,
+ )
+except ImportError: # Standalone image layout
+ from reward import read_reward, RewardReport
+ from task import HarborTask, NETWORK_ALLOWLIST, NETWORK_NONE
+
+
+logger = logging.getLogger(__name__)
+
+#: Exit code convention for a command killed by its timeout (GNU `timeout`).
+TIMEOUT_EXIT_CODE = 124
+
+#: Harbor's absolute paths, matched to detect task scripts that hardcode them
+#: while the local sandbox is not rooted at `/`. `/workspace` is included
+#: because it is the working directory every `repo2rlenv` image declares.
+_ABSOLUTE_HARBOR_PATHS = re.compile(
+ r"(? dict[str, str]:
+ """The minimal environment a local subprocess starts from."""
+ return {name: os.environ[name] for name in _ENV_PASSTHROUGH if name in os.environ}
+
+
+class SandboxError(RuntimeError):
+ """Raised when a sandbox cannot be created or cannot run a task."""
+
+
+@dataclass(frozen=True)
+class ExecResult:
+ """Outcome of one command executed inside a sandbox."""
+
+ exit_code: int
+ output: str
+ timed_out: bool = False
+
+ @property
+ def ok(self) -> bool:
+ """Whether the command exited successfully."""
+ return self.exit_code == 0 and not self.timed_out
+
+
+@dataclass(frozen=True)
+class SandboxPaths:
+ """Harbor's special paths, resolved for a concrete sandbox."""
+
+ workdir: str
+ tests: str = "/tests"
+ solution: str = "/solution"
+ logs: str = "/logs"
+
+ @property
+ def logs_verifier(self) -> str:
+ return posixpath.join(self.logs, "verifier")
+
+ @property
+ def logs_agent(self) -> str:
+ return posixpath.join(self.logs, "agent")
+
+ def as_env(self, *, agent_visible: bool = False) -> dict[str, str]:
+ """Path layout as environment variables.
+
+ Portable task scripts should prefer these over hardcoded absolute paths
+ so the same `tests/test.sh` runs under `harbor run` and under
+ [`LocalSandbox`]; `TEST_DIR` is included for Terminal-Bench lineage
+ scripts that expect it.
+
+ Args:
+ agent_visible (`bool`, *optional*, defaults to `False`):
+ Return only the paths an agent legitimately needs. The verifier
+ and oracle directories are withheld: they are where the grading
+ logic and the answer live, and only the verifier and oracle
+ themselves need to be told where they are.
+ """
+ agent_paths = {
+ "HARBOR_WORKDIR": self.workdir,
+ "HARBOR_AGENT_LOGS_DIR": self.logs_agent,
+ }
+ if agent_visible:
+ return agent_paths
+ return {
+ **agent_paths,
+ "HARBOR_TESTS_DIR": self.tests,
+ "HARBOR_SOLUTION_DIR": self.solution,
+ "HARBOR_LOGS_DIR": self.logs_verifier,
+ "TEST_DIR": self.tests,
+ }
+
+
+class Sandbox(ABC):
+ """Harbor's sandbox contract, independent of how commands are executed.
+
+ Subclasses implement [`_boot`], [`exec`], [`read_text`], [`write_text`] and
+ [`upload_dir`]; everything else — the path layout and the episode phases —
+ is shared.
+ """
+
+ paths: SandboxPaths
+
+ #: Human-readable backend name, surfaced in observations.
+ mode: str = "unknown"
+
+ #: Episode-wide variables from `[environment].env`, resolved by [`start`].
+ task_env: dict[str, str]
+
+ #: Account agent commands run as, from `[agent].user`. `None` means the
+ #: image's own default.
+ agent_user: str | None = None
+
+ # --- backend primitives -------------------------------------------------
+
+ @abstractmethod
+ def _boot(self, task: HarborTask) -> SandboxPaths:
+ """Bring the backend up for `task` and return its resolved paths."""
+
+ @abstractmethod
+ def exec(
+ self,
+ command: str,
+ *,
+ timeout_s: float,
+ env: dict[str, str] | None = None,
+ workdir: str | None = None,
+ user: str | None = None,
+ agent_visible: bool = False,
+ ) -> ExecResult:
+ """Run `command` through `bash` and return its merged output.
+
+ Args:
+ agent_visible (`bool`, *optional*, defaults to `False`):
+ Whether this command is the agent's. Agent commands are not told
+ where the verifier and oracle directories live.
+ user (`str`, *optional*):
+ Account to run as, from `[agent].user` / `[verifier].user`.
+ Backends that cannot switch user must reject such tasks in
+ [`_boot`] rather than ignore this.
+ """
+
+ @abstractmethod
+ def read_text(self, path: str, user: str | None = None) -> str | None:
+ """Read a text file, returning `None` when it does not exist.
+
+ Args:
+ user (`str`, *optional*):
+ Read as this account. Agent reads must pass the task's
+ `[agent].user`, or a task that declared an unprivileged agent
+ would still read root-only files through this path.
+ """
+
+ @abstractmethod
+ def write_text(self, path: str, content: str, user: str | None = None) -> None:
+ """Write a text file, creating parent directories as needed.
+
+ Args:
+ user (`str`, *optional*):
+ Write as this account, so an unprivileged agent cannot create
+ files it could not have created with `exec`.
+ """
+
+ @abstractmethod
+ def upload_dir(self, source: Path, destination: str) -> None:
+ """Copy a host directory into the sandbox at `destination`."""
+
+ @abstractmethod
+ def close(self) -> None:
+ """Release every resource held by the sandbox."""
+
+ # --- episode phases -----------------------------------------------------
+
+ def start(self, task: HarborTask) -> None:
+ """Boot the backend and lay out Harbor's directories.
+
+ Seeds the working directory from the task's `environment/` files when
+ the task ships them. `tests/` and `solution/` are deliberately *not*
+ staged here — see [`stage_tests`] and [`stage_solution`].
+ """
+ self.task_env = expand_env_refs(task.environment_env)
+ self.agent_user = task.agent_user
+ self.paths = self._boot(task)
+ self.mkdirs(self.paths.workdir, self.paths.logs_verifier, self.paths.logs_agent)
+ # The directories above are created by the image's default user (root).
+ # A task that asks for `[agent].user` would otherwise get a working
+ # directory it cannot write to, which breaks every `write` action and
+ # any edit the agent makes.
+ self.chown(task.agent_user, self.paths.workdir, self.paths.logs_agent)
+ if task.seed_files:
+ self.upload_dir(task.environment_dir, self.paths.workdir)
+ self.chown(task.agent_user, self.paths.workdir)
+
+ def stage_tests(self, task: HarborTask) -> None:
+ """Copy `tests/` to `/tests`, as Harbor's harness does before verifying.
+
+ Staging happens at verification time rather than at reset so the agent
+ never sees the verifier while it is working. The destination is cleared
+ first: the agent shares the filesystem and could otherwise pre-create
+ files there that the real verifier would then read.
+ """
+ if task.tests_dir.is_dir():
+ self._replace_dir(task.tests_dir, self.paths.tests)
+
+ def stage_solution(self, task: HarborTask) -> None:
+ """Copy `solution/` to `/solution`, as Harbor's oracle agent does."""
+ if task.solution_dir.is_dir():
+ self._replace_dir(task.solution_dir, self.paths.solution)
+
+ def _replace_dir(self, source: Path, destination: str) -> None:
+ """Upload `source` over a freshly emptied `destination`."""
+ self.exec(f"rm -rf {_quote(destination)}", timeout_s=60.0, workdir="/")
+ self.upload_dir(source, destination)
+
+ def run_verifier(self, task: HarborTask) -> ExecResult:
+ """Stage `tests/` and run `tests/test.sh`.
+
+ Raises:
+ [`SandboxError`]: If the task ships no `tests/test.sh`.
+ """
+ if task.test_script is None:
+ raise SandboxError(
+ f"task {task.task_id!r} has no tests/test.sh, so it cannot be graded"
+ )
+ # Start from an empty verifier log directory: the reward must describe
+ # *this* run. The agent shares the sandbox and could otherwise plant a
+ # reward file that survives a verifier which fails before writing one.
+ self.exec(
+ f"rm -rf {_quote(self.paths.logs_verifier)}", timeout_s=60.0, workdir="/"
+ )
+ self.mkdirs(self.paths.logs_verifier)
+ self.stage_tests(task)
+ # Same reason as the working directory: a `[verifier].user` that cannot
+ # write its reward file would make every task unscorable.
+ self.chown(task.verifier_user, self.paths.logs_verifier, self.paths.tests)
+ script = posixpath.join(self.paths.tests, task.test_script.name)
+ return self.exec(
+ f"bash {_quote(script)}",
+ timeout_s=task.verifier_timeout_s,
+ env={**self.task_env, **expand_env_refs(task.verifier_env)},
+ user=task.verifier_user,
+ )
+
+ def run_solution(self, task: HarborTask) -> ExecResult:
+ """Stage `solution/` and run `solution/solve.sh` (Harbor's oracle agent).
+
+ Raises:
+ [`SandboxError`]: If the task ships no `solution/solve.sh`.
+ """
+ if task.solve_script is None:
+ raise SandboxError(
+ f"task {task.task_id!r} has no solution/solve.sh, so it has no oracle"
+ )
+ self.stage_solution(task)
+ self.chown(task.agent_user, self.paths.solution)
+ script = posixpath.join(self.paths.solution, task.solve_script.name)
+ return self.exec(
+ f"bash {_quote(script)}",
+ timeout_s=task.agent_timeout_s,
+ env=self.task_env,
+ user=task.agent_user,
+ )
+
+ def reward_report(self) -> RewardReport:
+ """Read the verifier's verdict out of `/logs/verifier`."""
+ return read_reward(
+ lambda name: self.read_text(posixpath.join(self.paths.logs_verifier, name))
+ )
+
+ def explain_missing_reward(self, task: HarborTask) -> str | None:
+ """Backend-specific hint for why a verifier produced no reward file."""
+ del task
+ return None
+
+ def chown(self, user: str | None, *paths: str) -> None:
+ """Hand `paths` to `user`, so a non-root phase can write to them.
+
+ A no-op when the task declares no user. Runs as the image's default
+ account, which is the only one able to change ownership.
+ """
+ if not user or not paths:
+ return
+ quoted = " ".join(_quote(path) for path in paths)
+ result = self.exec(
+ f"chown -R {_quote(user)} {quoted}", timeout_s=120.0, workdir="/"
+ )
+ if not result.ok:
+ raise SandboxError(
+ f"could not give {user!r} ownership of {list(paths)}: "
+ f"{result.output.strip()}"
+ )
+
+ def resolve_agent_path(self, relative: str) -> str:
+ """Resolve an agent-supplied path, refusing anything outside the workdir.
+
+ Two checks, because either alone is insufficient:
+
+ 1. [`resolve_within`] rejects absolute paths and lexical `..` escapes.
+ 2. The result is then canonicalized *on the sandbox's own filesystem*,
+ which is the only way to catch a symlink the agent planted with
+ `exec`. Without this, `ln -s /tests t` followed by
+ `read path="t/test.sh"` walks straight out of the working directory
+ and reads the grader.
+
+ Raises:
+ `ValueError`: If the path escapes the working directory, before or
+ after symlink resolution.
+ """
+ target = resolve_within(self.paths.workdir, relative)
+ real = self.real_path(target)
+ # Canonicalize the base as well: the working directory itself often
+ # sits behind a link (macOS `/var` -> `/private/var`), and comparing a
+ # resolved path against an unresolved base would reject every legitimate
+ # access.
+ base = self.real_path(self.paths.workdir)
+ if real != base and not real.startswith(base.rstrip("/") + "/"):
+ raise ValueError(
+ f"path escapes the working directory through a link: {relative!r}"
+ )
+ return real
+
+ @abstractmethod
+ def real_path(self, path: str) -> str:
+ """Canonicalize `path` on the sandbox's filesystem, resolving symlinks.
+
+ The final component need not exist — a `write` legitimately creates it —
+ but every parent must, so a link in the middle cannot hide.
+ """
+
+ def mkdirs(self, *paths: str) -> None:
+ """Create directories inside the sandbox.
+
+ Runs from `/` so it works before the working directory exists — a fresh
+ image often declares a `WORKDIR` that is not in the filesystem yet.
+ """
+ quoted = " ".join(_quote(path) for path in paths)
+ result = self.exec(f"mkdir -p {quoted}", timeout_s=60.0, workdir="/")
+ if not result.ok:
+ raise SandboxError(
+ f"could not create {list(paths)}: {result.output.strip()}"
+ )
+
+
+class LocalSandbox(Sandbox):
+ """Runs a task as subprocesses under a per-episode root directory.
+
+ Every Harbor path is materialized under `root` (`/workspace`,
+ `/tests`, `/logs/verifier`, ...) and exported through the
+ `HARBOR_*` variables from [`SandboxPaths.as_env`]. That keeps concurrent
+ episodes isolated and needs no privileges, at the cost of not being able to
+ serve scripts that hardcode Harbor's absolute paths. Such a script writes
+ its reward outside the episode, which surfaces as an unscorable episode
+ rather than a wrong score — [`explain_missing_reward`] then names the
+ offending path.
+
+ Note that this backend is a *filesystem* boundary, not a *security* one:
+ `exec` runs shell commands as the server's own user, with the server's own
+ environment, so a task or a policy can read whatever that user can and can
+ reach the network. Serve task sets you trust here, and use [`DockerSandbox`]
+ for anything else.
+
+ Args:
+ root (`str` or `os.PathLike`, *optional*):
+ Directory to root the episode in. Defaults to a fresh temporary
+ directory that is removed on [`close`].
+ """
+
+ mode = "local"
+
+ def __init__(self, root: str | os.PathLike[str] | None = None) -> None:
+ self._owns_root = root is None
+ self._root = (
+ Path(root).expanduser().resolve()
+ if root
+ else Path(tempfile.mkdtemp(prefix="harbor-episode-"))
+ )
+ self.paths = SandboxPaths(workdir=str(self._root / "workspace"))
+ self.task_env = {}
+
+ @property
+ def root(self) -> Path:
+ """The episode's root directory on the host."""
+ return self._root
+
+ def _boot(self, task: HarborTask) -> SandboxPaths:
+ if task.needs_image:
+ raise SandboxError(
+ f"task {task.task_id!r} keeps its starting state in a container image "
+ f"({_image_source(task)}), which the local backend cannot reproduce. "
+ "Run the server with HARBOR_MODE=docker, or use a task that ships its "
+ "files in environment/."
+ )
+ # Fail closed on anything this backend cannot actually enforce. A task
+ # that asked for no-network, a CPU cap or a dedicated user has made a
+ # statement about how it must be graded; running it anyway under the
+ # server's own account would quietly produce a result the task never
+ # sanctioned.
+ unenforceable: list[str] = []
+ if task.network.restricted:
+ unenforceable.append(
+ f"network_mode={sorted(task.network.modes - {'public'})}"
+ )
+ if task.resources.declared:
+ unenforceable.append("resource limits")
+ if task.agent_user or task.verifier_user:
+ unenforceable.append("a declared user")
+ if unenforceable:
+ raise SandboxError(
+ f"task {task.task_id!r} declares {', '.join(unenforceable)}, which the "
+ "local backend cannot enforce — it runs subprocesses as the server's "
+ "own user with the host's network. Run the server with "
+ "HARBOR_MODE=docker."
+ )
+ if task.docker_image:
+ # The task ships its starting state as seed files, so the state is
+ # reproducible here — but the image it named supplies the toolchain,
+ # and the host's may differ. Say so rather than let a version skew
+ # surface as a mis-graded episode.
+ logger.warning(
+ "task %s declares [environment].docker_image = %s; the local backend "
+ "runs on the host toolchain instead, so results may differ from "
+ "`harbor run`. Use HARBOR_MODE=docker for a faithful result.",
+ task.task_id,
+ task.docker_image,
+ )
+
+ self._root.mkdir(parents=True, exist_ok=True)
+ return SandboxPaths(
+ workdir=str(self._root / "workspace"),
+ tests=str(self._root / "tests"),
+ solution=str(self._root / "solution"),
+ logs=str(self._root / "logs"),
+ )
+
+ def exec(
+ self,
+ command: str,
+ *,
+ timeout_s: float,
+ env: dict[str, str] | None = None,
+ workdir: str | None = None,
+ user: str | None = None,
+ agent_visible: bool = False,
+ ) -> ExecResult:
+ if user: # pragma: no cover - _boot rejects these tasks up front
+ raise SandboxError(
+ "the local backend cannot run commands as another user; "
+ "use HARBOR_MODE=docker"
+ )
+ cwd = Path(workdir or self.paths.workdir)
+ cwd.mkdir(parents=True, exist_ok=True)
+ process_env = _baseline_environ()
+ process_env.update(self.paths.as_env(agent_visible=agent_visible))
+ process_env.update(env or {})
+ # Keep the task's tree free of interpreter droppings.
+ process_env.setdefault("PYTHONDONTWRITEBYTECODE", "1")
+ try:
+ completed = subprocess.run(
+ ["bash", "-c", command],
+ cwd=cwd,
+ env=process_env,
+ capture_output=True,
+ text=True,
+ timeout=timeout_s,
+ )
+ except subprocess.TimeoutExpired as exc:
+ return ExecResult(
+ exit_code=TIMEOUT_EXIT_CODE,
+ output=_decode(exc.stdout) + _decode(exc.stderr),
+ timed_out=True,
+ )
+ return ExecResult(completed.returncode, completed.stdout + completed.stderr)
+
+ def real_path(self, path: str) -> str:
+ target = Path(path)
+ if target.exists():
+ return str(target.resolve())
+ # A `write` may be creating the final component; resolving the parent
+ # still catches a symlinked directory on the way there.
+ return str(target.parent.resolve() / target.name)
+
+ def read_text(self, path: str, user: str | None = None) -> str | None:
+ del user # _boot refuses tasks that declare one
+ target = Path(path)
+ if not target.is_file():
+ return None
+ return target.read_text(encoding="utf-8", errors="replace")
+
+ def write_text(self, path: str, content: str, user: str | None = None) -> None:
+ del user # _boot refuses tasks that declare one
+ target = Path(path)
+ target.parent.mkdir(parents=True, exist_ok=True)
+ target.write_text(content, encoding="utf-8")
+
+ def upload_dir(self, source: Path, destination: str) -> None:
+ target = Path(destination)
+ target.mkdir(parents=True, exist_ok=True)
+ shutil.copytree(source, target, dirs_exist_ok=True)
+
+ def close(self) -> None:
+ if self._owns_root:
+ shutil.rmtree(self._root, ignore_errors=True)
+
+ def explain_missing_reward(self, task: HarborTask) -> str | None:
+ """Point at hardcoded absolute paths, the usual cause in local mode.
+
+ A verifier that writes to `/logs/verifier` instead of `$HARBOR_LOGS_DIR`
+ lands outside this episode's root — or fails outright without root
+ privileges — and its reward never reaches us.
+ """
+ if self.paths.logs.startswith("/logs"):
+ return None # Rooted at /, so absolute paths resolve correctly.
+ if task.test_script is None:
+ return None
+ text = task.test_script.read_text(encoding="utf-8", errors="replace")
+ match = _ABSOLUTE_HARBOR_PATHS.search(text)
+ if match is None:
+ return None
+ return (
+ f"{task.test_script.name} references {match.group(0)!r}, an absolute path "
+ f"that only exists inside a container. Run the server with HARBOR_MODE=docker, "
+ f"or have the script write to $HARBOR_LOGS_DIR so it stays portable across "
+ f"both backends."
+ )
+
+
+class DockerSandbox(Sandbox):
+ """Runs a task inside its own container image — Harbor's native backend.
+
+ The image comes from `[environment].docker_image` when set, otherwise it is
+ built from `environment/Dockerfile`; tasks that ship only `environment/` seed
+ files run on `default_image`. Files are streamed in over the Docker API
+ rather than bind-mounted, so the environment server can itself be
+ containerized.
+
+ Args:
+ default_image (`str`, *optional*, defaults to `"python:3.12-slim"`):
+ Image used for tasks that declare no image of their own.
+ keep_container (`bool`, *optional*, defaults to `False`):
+ Leave the container in place after [`close`], for debugging.
+ """
+
+ mode = "docker"
+
+ #: Used when the image declares no `WORKDIR`; matches Harbor's default.
+ DEFAULT_WORKDIR = "/app"
+
+ def __init__(
+ self,
+ default_image: str = "python:3.12-slim",
+ keep_container: bool = False,
+ ) -> None:
+ self.paths = SandboxPaths(workdir=self.DEFAULT_WORKDIR)
+ self.task_env = {}
+ self.default_image = default_image
+ self.keep_container = keep_container
+ self._client = None
+ self._container = None
+ self._image = ""
+ self._has_timeout: bool | None = None
+ self._agent_user: str | None = None
+
+ @property
+ def image(self) -> str:
+ """The image backing this sandbox."""
+ return self._image
+
+ def _boot(self, task: HarborTask) -> SandboxPaths:
+ client = self._connect()
+ self._image = self._resolve_image(task, client)
+ self._container = client.containers.run(
+ image=self._image,
+ command=["sleep", "infinity"],
+ detach=True,
+ environment=dict(self.task_env),
+ labels={"openenv.env": "harbor_env", "openenv.task": task.task_id},
+ auto_remove=False,
+ **_container_limits(task),
+ )
+ self._agent_user = task.agent_user
+ return SandboxPaths(
+ workdir=task.declared_workdir or self._image_workdir(client)
+ )
+
+ def exec(
+ self,
+ command: str,
+ *,
+ timeout_s: float,
+ env: dict[str, str] | None = None,
+ workdir: str | None = None,
+ user: str | None = None,
+ agent_visible: bool = False,
+ ) -> ExecResult:
+ container = self._require_container()
+ process_env = dict(self.paths.as_env(agent_visible=agent_visible))
+ process_env.update(env or {})
+ wrapped = self._with_timeout(command, timeout_s)
+ exit_code, output = container.exec_run(
+ cmd=["bash", "-c", wrapped],
+ workdir=workdir or self.paths.workdir,
+ environment=process_env,
+ user=user or "",
+ demux=False,
+ )
+ text = output.decode("utf-8", errors="replace") if output else ""
+ # The Docker API reports a null exit code when the exec never started.
+ status = int(exit_code) if exit_code is not None else 1
+ return ExecResult(
+ exit_code=status,
+ output=text,
+ timed_out=status == TIMEOUT_EXIT_CODE,
+ )
+
+ def real_path(self, path: str) -> str:
+ # `readlink -m` canonicalizes every component and, unlike `-f`, does not
+ # require any of them to exist — a `write` legitimately creates nested
+ # directories. Symlinks that *do* exist are still resolved, which is the
+ # only part that matters for confinement.
+ result = self.exec(f"readlink -m {_quote(path)}", timeout_s=60.0)
+ canonical = result.output.strip()
+ if not result.ok or not canonical:
+ raise SandboxError(
+ f"could not canonicalize {path!r} inside the sandbox; refusing the "
+ "action rather than trusting an unresolved path"
+ )
+ return canonical
+
+ def read_text(self, path: str, user: str | None = None) -> str | None:
+ result = self.exec(f"cat {_quote(path)}", timeout_s=60.0, user=user)
+ return result.output if result.ok else None
+
+ def write_text(self, path: str, content: str, user: str | None = None) -> None:
+ if user:
+ # put_archive extracts as root, which would let an unprivileged
+ # agent create root-owned files — and, through a symlink out of the
+ # working directory, create them anywhere. Write through the shell
+ # as the declared user instead, so the kernel applies its
+ # permissions. Base64 keeps arbitrary bytes off the command line.
+ payload = base64.b64encode(content.encode("utf-8")).decode("ascii")
+ result = self.exec(
+ f"printf %s {_quote(payload)} | base64 -d > {_quote(path)}",
+ timeout_s=120.0,
+ user=user,
+ )
+ if not result.ok:
+ raise SandboxError(
+ f"could not write {path} as {user!r}: {result.output.strip()}"
+ )
+ return
+ container = self._require_container()
+ directory, name = posixpath.split(path)
+ self.mkdirs(directory)
+ container.put_archive(directory, _tar_bytes({name: content.encode("utf-8")}))
+
+ def upload_dir(self, source: Path, destination: str) -> None:
+ container = self._require_container()
+ self.mkdirs(destination)
+ stream = io.BytesIO()
+ with tarfile.open(fileobj=stream, mode="w") as archive:
+ for entry in sorted(source.rglob("*")):
+ # rglob yields directories as well as files, and `add` recurses
+ # by default — leaving it on would archive every nested file
+ # once via its parent and again on its own iteration.
+ archive.add(
+ entry,
+ arcname=entry.relative_to(source).as_posix(),
+ recursive=False,
+ )
+ container.put_archive(destination, stream.getvalue())
+
+ def close(self) -> None:
+ if self._container is not None and not self.keep_container:
+ try:
+ self._container.remove(force=True)
+ except Exception: # pragma: no cover - best-effort teardown
+ logger.warning("could not remove container", exc_info=True)
+ self._container = None
+ self._client = None
+
+ # --- docker helpers -----------------------------------------------------
+
+ def _connect(self):
+ if self._client is None:
+ try:
+ import docker
+ except ImportError as exc:
+ raise SandboxError(
+ "HARBOR_MODE=docker needs the `docker` package: pip install docker"
+ ) from exc
+ try:
+ self._client = docker.from_env()
+ self._client.ping()
+ except Exception as exc:
+ raise SandboxError(f"could not reach the Docker daemon: {exc}") from exc
+ return self._client
+
+ def _resolve_image(self, task: HarborTask, client) -> str:
+ if task.docker_image:
+ return _ensure_pulled(client, task.docker_image)
+
+ if task.dockerfile is not None:
+ tag = f"openenv-harbor/{_slug(task.task_id)}:latest"
+ logger.info("building %s from %s", tag, task.dockerfile)
+ client.images.build(
+ path=str(task.environment_dir),
+ dockerfile=task.dockerfile.name,
+ tag=tag,
+ rm=True,
+ timeout=task.build_timeout_s,
+ )
+ return tag
+
+ if task.compose_file is not None:
+ raise SandboxError(
+ f"task {task.task_id!r} uses environment/{task.compose_file.name}; "
+ "multi-container tasks are not supported yet — run it with `harbor run`"
+ )
+ # Self-contained task: no image of its own, so run the seed files on the
+ # backend's default image.
+ return _ensure_pulled(client, self.default_image)
+
+ def _image_workdir(self, client) -> str:
+ try:
+ config = client.images.get(self._image).attrs.get("Config", {})
+ return str(config.get("WorkingDir") or self.DEFAULT_WORKDIR)
+ except Exception: # pragma: no cover - image metadata is best-effort
+ return self.DEFAULT_WORKDIR
+
+ def _with_timeout(self, command: str, timeout_s: float) -> str:
+ """Bound `command` with GNU `timeout` when the image provides it."""
+ if self._has_timeout is None:
+ container = self._require_container()
+ probe, _ = container.exec_run(cmd=["sh", "-c", "command -v timeout"])
+ self._has_timeout = int(probe) == 0
+ if not self._has_timeout:
+ return command
+ return f"timeout -k 5 {int(max(timeout_s, 1))} bash -c {_quote(command)}"
+
+ def _require_container(self):
+ if self._container is None:
+ raise SandboxError("sandbox is not running; call start() first")
+ return self._container
+
+
+def _container_limits(task: HarborTask) -> dict[str, object]:
+ """Translate the task's declared policies into `containers.run` kwargs.
+
+ Raises:
+ [`SandboxError`]: If the task asks for a policy this backend cannot
+ enforce faithfully. Failing closed matters more than breadth here:
+ silently granting a `no-network` task the daemon's default bridge
+ would both corrupt the result and hand a sandboxed process the
+ internet.
+ """
+ kwargs: dict[str, object] = {}
+
+ modes = task.network.modes
+ if NETWORK_ALLOWLIST in modes:
+ raise SandboxError(
+ f"task {task.task_id!r} declares network_mode='allowlist' "
+ f"(hosts: {list(task.network.allowed_hosts) or 'unspecified'}), which "
+ "needs a filtering proxy this backend does not run. Grade it with "
+ "`harbor run`, which implements the allowlist."
+ )
+ if modes == {NETWORK_NONE}:
+ kwargs["network_mode"] = "none"
+ elif NETWORK_NONE in modes:
+ # Per-phase split: one phase wants isolation, another wants the network.
+ # A container has a single network, so honouring both is impossible —
+ # take the restrictive one rather than the permissive one.
+ logger.warning(
+ "task %s asks for different network modes per phase (%s); applying the "
+ "most restrictive (no-network) for the whole episode",
+ task.task_id,
+ sorted(modes),
+ )
+ kwargs["network_mode"] = "none"
+
+ limits = task.resources
+ if limits.cpus is not None:
+ # Docker expresses CPU count as a quota against a 100ms period.
+ kwargs["cpu_period"] = 100_000
+ kwargs["cpu_quota"] = int(limits.cpus * 100_000)
+ if limits.memory_mb is not None:
+ kwargs["mem_limit"] = f"{limits.memory_mb}m"
+ if limits.storage_mb is not None:
+ # Docker accepts `storage_opt` on drivers that cannot honour it — the
+ # option lands in HostConfig and is then simply not enforced, which is
+ # the worst outcome: a task believes it is capped and is not. Refuse it
+ # rather than pretend.
+ raise SandboxError(
+ f"task {task.task_id!r} requests storage_mb={limits.storage_mb}; this "
+ "backend cannot guarantee a filesystem quota (Docker silently ignores "
+ "storage_opt on drivers without quota support). Grade it with `harbor run`."
+ )
+ if limits.gpus is not None:
+ raise SandboxError(
+ f"task {task.task_id!r} requests {limits.gpus} GPU(s); this backend does "
+ "not allocate accelerators. Grade it with `harbor run`."
+ )
+ return kwargs
+
+
+def create_sandbox(mode: str, **kwargs) -> Sandbox:
+ """Instantiate the sandbox backend named by `mode`.
+
+ Args:
+ mode (`str`):
+ `"local"` or `"docker"`.
+
+ Returns:
+ [`Sandbox`]
+
+ Raises:
+ [`SandboxError`]: If `mode` is not a known backend.
+ """
+ backends = {"local": LocalSandbox, "docker": DockerSandbox}
+ try:
+ backend = backends[mode.lower()]
+ except KeyError:
+ raise SandboxError(
+ f"unknown sandbox mode {mode!r}; expected one of {sorted(backends)}"
+ ) from None
+ return backend(**kwargs)
+
+
+def resolve_within(base: str, relative: str) -> str:
+ """Resolve `relative` under `base`, rejecting anything that escapes it.
+
+ Used for every agent-supplied path so the agent cannot read or write outside
+ its working directory — in particular, it cannot reach `/tests` or
+ `/solution`.
+
+ Raises:
+ `ValueError`: If `relative` is empty, is absolute, names the working
+ directory itself, or escapes `base`.
+ """
+ if not relative.strip():
+ raise ValueError("path must name a file relative to the working directory")
+ if posixpath.isabs(relative):
+ raise ValueError(
+ f"path must be relative to the working directory: {relative!r}"
+ )
+ base_norm = posixpath.normpath(base)
+ target = posixpath.normpath(posixpath.join(base_norm, relative))
+ if target == base_norm:
+ # `""`, `"."` and `"a/.."` all land here. Allowing it would mean reading
+ # a directory, or — far worse — writing a regular file over the
+ # working directory itself.
+ raise ValueError(
+ f"path must name a file inside the working directory, not the "
+ f"directory itself: {relative!r}"
+ )
+ if not target.startswith(base_norm.rstrip("/") + "/"):
+ raise ValueError(f"path escapes the working directory: {relative!r}")
+ return target
+
+
+def expand_env_refs(mapping: dict[str, str]) -> dict[str, str]:
+ """Resolve `${VAR}` / `$VAR` references in task-declared environment values.
+
+ Harbor's `[environment].env` may reference variables supplied by the person
+ running the task (`env = { HF_TOKEN = "${HF_TOKEN}" }`). Unset references
+ expand to the empty string, so a missing secret never leaks the literal
+ `${HF_TOKEN}` into the sandbox.
+ """
+ return {
+ key: _ENV_REFERENCE.sub(
+ lambda m: os.environ.get(m.group(1) or m.group(2), ""), value
+ )
+ for key, value in mapping.items()
+ }
+
+
+def _ensure_pulled(client, image: str) -> str:
+ try:
+ client.images.get(image)
+ except Exception:
+ logger.info("pulling %s", image)
+ client.images.pull(image)
+ return image
+
+
+def _tar_bytes(files: dict[str, bytes]) -> bytes:
+ stream = io.BytesIO()
+ with tarfile.open(fileobj=stream, mode="w") as archive:
+ for name, payload in files.items():
+ info = tarfile.TarInfo(name=name)
+ info.size = len(payload)
+ info.mode = 0o644
+ archive.addfile(info, io.BytesIO(payload))
+ return stream.getvalue()
+
+
+def _quote(value: str) -> str:
+ return "'" + value.replace("'", "'\\''") + "'"
+
+
+def _slug(value: str) -> str:
+ return re.sub(r"[^a-z0-9_.-]+", "-", value.lower()).strip("-") or "task"
+
+
+def _image_source(task: HarborTask) -> str:
+ if task.docker_image:
+ return f"[environment].docker_image = {task.docker_image!r}"
+ if task.dockerfile is not None:
+ return "environment/Dockerfile"
+ return "environment/docker-compose.yaml"
+
+
+def _decode(value: str | bytes | None) -> str:
+ if value is None:
+ return ""
+ return value if isinstance(value, str) else value.decode("utf-8", errors="replace")
diff --git a/envs/harbor_env/server/task.py b/envs/harbor_env/server/task.py
new file mode 100644
index 000000000..b3e3f2866
--- /dev/null
+++ b/envs/harbor_env/server/task.py
@@ -0,0 +1,654 @@
+# SPDX-License-Identifier: BSD-3-Clause
+
+"""Parsing and discovery for Harbor task directories.
+
+A Harbor task is a directory on disk. This module turns that directory into a
+[`HarborTask`] value object and provides a [`TaskCatalog`] for discovering many
+of them. Nothing here executes anything — see `sandbox.py` for that.
+
+The layout (https://www.harborframework.com/docs/tasks) is:
+
+```text
+/
+ task.toml # config + metadata (required)
+ instruction.md # the prompt shown to the agent
+ environment/ # how to build the sandbox
+ Dockerfile # ...or docker-compose.yaml, or seed files (see below)
+ tests/ # copied to /tests at verify time
+ test.sh # the verifier; writes /logs/verifier/reward.{json,txt}
+ solution/ # copied to /solution by the oracle agent
+ solve.sh
+```
+
+Two spellings of the schema field are accepted: Harbor writes `schema_version`,
+while [Repo2RLEnv](https://github.com/huggingface/Repo2RLEnv) writes `version`.
+"""
+
+from __future__ import annotations
+
+import logging
+import os
+import re
+import sys
+from dataclasses import dataclass, field
+from functools import lru_cache
+from pathlib import Path
+from typing import Any, Iterator
+
+
+if sys.version_info >= (3, 11):
+ import tomllib
+else: # pragma: no cover - Python 3.10 fallback
+ import tomli as tomllib
+
+
+logger = logging.getLogger(__name__)
+
+TASK_CONFIG_FILE = "task.toml"
+INSTRUCTION_FILE = "instruction.md"
+TEST_SCRIPT = "test.sh"
+SOLVE_SCRIPT = "solve.sh"
+
+#: Files in `environment/` that describe *how to build* the sandbox rather than
+#: what to seed it with. See "Environment" in the Harbor task docs.
+_COMPOSE_FILES = ("docker-compose.yaml", "docker-compose.yml")
+_DOCKERFILE = "Dockerfile"
+
+#: How deep [`TaskCatalog`] descends when looking for task directories. Enough
+#: for a flat directory, the `tasks//` layout that `repo2rlenv push` writes
+#: to the Hub, and one level of grouping on top of that.
+_MAX_DISCOVERY_DEPTH = 4
+
+DEFAULT_AGENT_TIMEOUT_S = 1800.0
+DEFAULT_VERIFIER_TIMEOUT_S = 300.0
+DEFAULT_BUILD_TIMEOUT_S = 1800.0
+
+#: Hugging Face dataset reference, optionally scheme-qualified and pinned:
+#: `hf://datasets//@` or just `/`.
+_HUB_REFERENCE = re.compile(
+ r"^(?:hf://datasets/)?(?P[\w.-]+/[\w.-]+)(?:@(?P[\w./-]+))?$"
+)
+
+#: Tasks shipped with this environment, used when no source is configured.
+BUNDLED_TASKS_DIR = Path(__file__).resolve().parent.parent / "examples" / "tasks"
+
+
+class TaskFormatError(ValueError):
+ """Raised when a directory is not a well-formed Harbor task."""
+
+
+#: Harbor's network policies, from `[environment].network_mode` and the
+#: per-phase `[agent]` / `[verifier]` overrides.
+NETWORK_NONE = "no-network"
+NETWORK_PUBLIC = "public"
+NETWORK_ALLOWLIST = "allowlist"
+
+_NETWORK_MODES = frozenset({NETWORK_NONE, NETWORK_PUBLIC, NETWORK_ALLOWLIST})
+
+
+@dataclass(frozen=True)
+class NetworkPolicy:
+ """What network a task's phases are allowed to reach.
+
+ Harbor declares a baseline in `[environment]` and lets `[agent]` and
+ `[verifier]` narrow it. A task that asks for `no-network` is usually
+ testing offline behaviour, so granting it the daemon's default bridge is
+ both a wrong result and an escape hatch.
+
+ Args:
+ baseline (`str`, *optional*, defaults to `"public"`):
+ `[environment].network_mode`.
+ agent (`str`, *optional*):
+ `[agent].network_mode`, when the task overrides the baseline.
+ verifier (`str`, *optional*):
+ `[verifier].network_mode`, when the task overrides the baseline.
+ allowed_hosts (`tuple[str, ...]`):
+ Hosts named by an `allowlist` policy.
+ """
+
+ baseline: str = NETWORK_PUBLIC
+ agent: str | None = None
+ verifier: str | None = None
+ allowed_hosts: tuple[str, ...] = ()
+
+ def for_phase(self, phase: str) -> str:
+ """The effective mode for `"agent"` or `"verifier"`."""
+ override = self.agent if phase == "agent" else self.verifier
+ return override or self.baseline
+
+ @property
+ def modes(self) -> frozenset[str]:
+ """The effective mode of each phase.
+
+ The baseline is deliberately *not* unioned in: when both phases override
+ it, the baseline never takes effect, and including it would (for
+ example) disable networking for a task whose agent and verifier both
+ asked for `public`.
+ """
+ return frozenset({self.for_phase("agent"), self.for_phase("verifier")})
+
+ @property
+ def restricted(self) -> bool:
+ """Whether any phase asks for something other than open internet."""
+ return bool(self.modes - {NETWORK_PUBLIC})
+
+
+@dataclass(frozen=True)
+class ResourceLimits:
+ """`[environment]` resource caps, as Harbor spells them.
+
+ Args:
+ cpus (`int`, *optional*):
+ `[environment].cpus`.
+ memory_mb (`int`, *optional*):
+ `[environment].memory_mb`.
+ storage_mb (`int`, *optional*):
+ `[environment].storage_mb`.
+ gpus (`int`, *optional*):
+ `[environment].gpus`.
+ """
+
+ cpus: int | None = None
+ memory_mb: int | None = None
+ storage_mb: int | None = None
+ gpus: int | None = None
+
+ @property
+ def declared(self) -> bool:
+ """Whether the task asked for any limit at all."""
+ return any(
+ value is not None
+ for value in (self.cpus, self.memory_mb, self.storage_mb, self.gpus)
+ )
+
+
+@dataclass(frozen=True)
+class HarborTask:
+ """An immutable view of one Harbor task directory.
+
+ Args:
+ task_id (`str`):
+ Stable identifier used to select the task at `reset()`. It is the
+ task directory's path relative to the catalog root, so nested
+ layouts stay unambiguous.
+ path (`Path`):
+ Absolute path to the task directory.
+ name (`str`):
+ The `[task].name` field, conventionally `/`.
+ description (`str`):
+ The `[task].description` field.
+ instruction (`str`):
+ Contents of `instruction.md` — the prompt handed to the agent.
+ schema_version (`str`):
+ Declared task-format version (`schema_version` or `version`).
+ metadata (`dict[str, Any]`):
+ The free-form `[metadata]` table, verbatim.
+ docker_image (`str` or `None`):
+ Pre-built image from `[environment].docker_image`, if any.
+ environment_env (`dict[str, str]`):
+ `[environment].env` — variables exported for the whole episode.
+ verifier_env (`dict[str, str]`):
+ `[verifier].env` — variables exported only while verifying.
+ agent_timeout_s (`float`):
+ `[agent].timeout_sec`.
+ verifier_timeout_s (`float`):
+ `[verifier].timeout_sec`.
+ build_timeout_s (`float`):
+ `[environment].build_timeout_sec`.
+ os_name (`str`):
+ `[environment].os`. Only `"linux"` is supported here.
+ network ([`NetworkPolicy`]):
+ Baseline `[environment]` network policy, and the per-phase
+ `[agent]` / `[verifier]` overrides Harbor allows.
+ resources ([`ResourceLimits`]):
+ `[environment].cpus` / `memory_mb` / `storage_mb` / `gpus`.
+ agent_user (`str` or `None`):
+ `[agent].user` — the account agent commands run as.
+ verifier_user (`str` or `None`):
+ `[verifier].user` — the account the verifier runs as.
+ declared_workdir (`str` or `None`):
+ `[environment].workdir`, which overrides the image's `WORKDIR`.
+ """
+
+ task_id: str
+ path: Path
+ name: str
+ description: str
+ instruction: str
+ schema_version: str
+ metadata: dict[str, Any] = field(default_factory=dict)
+ docker_image: str | None = None
+ environment_env: dict[str, str] = field(default_factory=dict)
+ verifier_env: dict[str, str] = field(default_factory=dict)
+ agent_timeout_s: float = DEFAULT_AGENT_TIMEOUT_S
+ verifier_timeout_s: float = DEFAULT_VERIFIER_TIMEOUT_S
+ build_timeout_s: float = DEFAULT_BUILD_TIMEOUT_S
+ os_name: str = "linux"
+ network: NetworkPolicy = field(default_factory=lambda: NetworkPolicy())
+ resources: ResourceLimits = field(default_factory=lambda: ResourceLimits())
+ agent_user: str | None = None
+ verifier_user: str | None = None
+ declared_workdir: str | None = None
+
+ # --- directory layout ---------------------------------------------------
+
+ @property
+ def tests_dir(self) -> Path:
+ """The `tests/` directory, whether or not it exists."""
+ return self.path / "tests"
+
+ @property
+ def solution_dir(self) -> Path:
+ """The `solution/` directory, whether or not it exists."""
+ return self.path / "solution"
+
+ @property
+ def environment_dir(self) -> Path:
+ """The `environment/` directory, whether or not it exists."""
+ return self.path / "environment"
+
+ @property
+ def test_script(self) -> Path | None:
+ """`tests/test.sh`, or `None` when the task ships no verifier."""
+ script = self.tests_dir / TEST_SCRIPT
+ return script if script.is_file() else None
+
+ @property
+ def solve_script(self) -> Path | None:
+ """`solution/solve.sh`, or `None` when the task ships no oracle."""
+ script = self.solution_dir / SOLVE_SCRIPT
+ return script if script.is_file() else None
+
+ @property
+ def dockerfile(self) -> Path | None:
+ """`environment/Dockerfile`, or `None`."""
+ candidate = self.environment_dir / _DOCKERFILE
+ return candidate if candidate.is_file() else None
+
+ @property
+ def compose_file(self) -> Path | None:
+ """`environment/docker-compose.y{a,}ml`, or `None`."""
+ for filename in _COMPOSE_FILES:
+ candidate = self.environment_dir / filename
+ if candidate.is_file():
+ return candidate
+ return None
+
+ @property
+ def seed_files(self) -> tuple[Path, ...]:
+ """Files uploaded into the working directory when the episode starts.
+
+ Harbor only uploads `environment/` when it holds no build recipe: "If
+ you omit both `environment/Dockerfile` and `environment/docker-compose.yaml`,
+ any other files in `environment/` are uploaded into the container workdir".
+ """
+ if not self.environment_dir.is_dir():
+ return ()
+ if self.dockerfile is not None or self.compose_file is not None:
+ return ()
+ return tuple(sorted(p for p in self.environment_dir.rglob("*") if p.is_file()))
+
+ @property
+ def needs_image(self) -> bool:
+ """Whether the task's starting state lives inside a container image.
+
+ A task that ships seed files carries its own starting state and can be
+ reproduced anywhere. Anything else (a `Dockerfile`, a compose file, or a
+ pre-built `docker_image`) puts the starting state in an image, so only
+ the Docker execution mode can run it faithfully.
+ """
+ if self.seed_files:
+ return False
+ return (
+ self.dockerfile is not None
+ or self.compose_file is not None
+ or bool(self.docker_image)
+ )
+
+ # --- loading ------------------------------------------------------------
+
+ @classmethod
+ def load(
+ cls, path: str | os.PathLike[str], task_id: str | None = None
+ ) -> HarborTask:
+ """Load a task from its directory.
+
+ Args:
+ path (`str` or `os.PathLike`):
+ The task directory (the one containing `task.toml`).
+ task_id (`str`, *optional*):
+ Identifier to record. Defaults to the directory name.
+
+ Returns:
+ [`HarborTask`]
+
+ Raises:
+ [`TaskFormatError`]: If `task.toml` is missing or unparsable, or the
+ task targets an unsupported container OS.
+ """
+ task_dir = Path(path).expanduser().resolve()
+ config_path = task_dir / TASK_CONFIG_FILE
+ if not config_path.is_file():
+ raise TaskFormatError(
+ f"{task_dir} is not a Harbor task: no {TASK_CONFIG_FILE}"
+ )
+
+ try:
+ config = tomllib.loads(config_path.read_text(encoding="utf-8"))
+ except Exception as exc:
+ raise TaskFormatError(f"could not parse {config_path}: {exc}") from exc
+
+ task_table = _table(config, "task")
+ environment = _table(config, "environment")
+ os_name = str(environment.get("os", "linux")).lower()
+ if os_name != "linux":
+ raise TaskFormatError(
+ f"{task_dir} targets [environment].os = {os_name!r}; "
+ "harbor_env only supports Linux tasks"
+ )
+
+ instruction_path = task_dir / INSTRUCTION_FILE
+ instruction = (
+ instruction_path.read_text(encoding="utf-8")
+ if instruction_path.is_file()
+ else str(task_table.get("description", ""))
+ )
+
+ return cls(
+ task_id=task_id or task_dir.name,
+ path=task_dir,
+ name=str(task_table.get("name", task_dir.name)),
+ description=str(task_table.get("description", "")),
+ instruction=instruction,
+ # Harbor spells it `schema_version`; Repo2RLEnv writes `version`.
+ schema_version=str(
+ config.get("schema_version") or config.get("version") or "unknown"
+ ),
+ metadata=_table(config, "metadata"),
+ docker_image=environment.get("docker_image") or None,
+ environment_env=_str_map(environment.get("env")),
+ verifier_env=_str_map(_table(config, "verifier").get("env")),
+ agent_timeout_s=_timeout(config, "agent", DEFAULT_AGENT_TIMEOUT_S),
+ verifier_timeout_s=_timeout(config, "verifier", DEFAULT_VERIFIER_TIMEOUT_S),
+ build_timeout_s=_positive_float(
+ environment.get("build_timeout_sec"), DEFAULT_BUILD_TIMEOUT_S
+ ),
+ os_name=os_name,
+ network=_network_policy(config, environment),
+ resources=ResourceLimits(
+ cpus=_positive_int(environment.get("cpus"), "cpus"),
+ memory_mb=_positive_int(environment.get("memory_mb"), "memory_mb"),
+ storage_mb=_positive_int(environment.get("storage_mb"), "storage_mb"),
+ gpus=_positive_int(environment.get("gpus"), "gpus"),
+ ),
+ agent_user=_user(_table(config, "agent").get("user")),
+ verifier_user=_user(_table(config, "verifier").get("user")),
+ declared_workdir=str(environment["workdir"])
+ if environment.get("workdir")
+ else None,
+ )
+
+ def summary(self) -> dict[str, Any]:
+ """A JSON-serializable digest, surfaced in observations and state.
+
+ Deliberately omits [`path`]: the observation reaches the agent, and
+ naming the task directory on the server would point straight at
+ `solution/` and `tests/`. [`HarborState.task_path`] still carries it for
+ training orchestration, which is on the infrastructure side.
+ """
+ return {
+ "task_id": self.task_id,
+ "name": self.name,
+ "description": self.description,
+ "schema_version": self.schema_version,
+ "needs_image": self.needs_image,
+ "docker_image": self.docker_image,
+ "has_verifier": self.test_script is not None,
+ "has_solution": self.solve_script is not None,
+ }
+
+
+class TaskCatalog:
+ """Discovers Harbor tasks under a root directory.
+
+ Any directory containing a `task.toml` is a task, and the search does not
+ descend into one once found. That covers a flat directory of tasks, the
+ `tasks//` layout `repo2rlenv push` writes to the Hub, and a single task
+ directory passed directly.
+
+ Args:
+ root (`str` or `os.PathLike`):
+ Directory to scan.
+
+ Examples:
+
+ ```python
+ catalog = TaskCatalog("./tasks")
+ catalog.task_ids() # ['fix-sum-bug', 'pallets__click-1234']
+ task = catalog.get("fix-sum-bug")
+ ```
+ """
+
+ def __init__(self, root: str | os.PathLike[str]) -> None:
+ self.root = Path(root).expanduser().resolve()
+ self._discovered: dict[str, Path] | None = None
+
+ def task_ids(self) -> list[str]:
+ """Sorted identifiers of every task under the root."""
+ return sorted(self._task_dirs())
+
+ def tasks(self) -> Iterator[HarborTask]:
+ """Yield every task under the root, in identifier order."""
+ for task_id in self.task_ids():
+ yield self.get(task_id)
+
+ def refresh(self) -> None:
+ """Forget the cached scan so the next lookup re-reads the filesystem."""
+ self._discovered = None
+
+ def get(self, task_id: str) -> HarborTask:
+ """Load one task by identifier.
+
+ Accepts either the full identifier (path relative to the root) or a bare
+ directory name when that name is unique.
+
+ Raises:
+ `KeyError`: If no task matches, or a bare name is ambiguous.
+ """
+ available = self._task_dirs()
+ if task_id in available:
+ return HarborTask.load(available[task_id], task_id=task_id)
+
+ matches = [tid for tid in available if Path(tid).name == task_id]
+ if len(matches) == 1:
+ return HarborTask.load(available[matches[0]], task_id=matches[0])
+ if len(matches) > 1:
+ raise KeyError(
+ f"task id {task_id!r} is ambiguous under {self.root}; "
+ f"use one of {sorted(matches)}"
+ )
+ raise KeyError(
+ f"unknown task {task_id!r} under {self.root}; "
+ f"available: {sorted(available) or ''}"
+ )
+
+ def _task_dirs(self) -> dict[str, Path]:
+ """Map identifier -> task directory, scanning the tree at most once.
+
+ A served task set is fixed for the life of the server, so the scan is
+ cached; call [`refresh`] after changing it on disk.
+ """
+ if self._discovered is None:
+ self._discovered = self._scan()
+ return self._discovered
+
+ def _scan(self) -> dict[str, Path]:
+ if not self.root.is_dir():
+ return {}
+ if (self.root / TASK_CONFIG_FILE).is_file():
+ return {self.root.name: self.root}
+
+ found: dict[str, Path] = {}
+ stack = [(self.root, 0)]
+ while stack:
+ directory, depth = stack.pop()
+ if depth > _MAX_DISCOVERY_DEPTH:
+ continue
+ for child in sorted(directory.iterdir()):
+ if not child.is_dir() or child.name.startswith("."):
+ continue
+ if (child / TASK_CONFIG_FILE).is_file():
+ found[child.relative_to(self.root).as_posix()] = child
+ else:
+ stack.append((child, depth + 1))
+ return found
+
+
+@lru_cache(maxsize=None)
+def resolve_task_source(source: str | os.PathLike[str] | None) -> Path:
+ """Resolve a configured task source to a local directory.
+
+ Results are cached, so a server that starts one environment per session
+ downloads a Hub dataset once and then trains against a fixed snapshot.
+
+ Args:
+ source (`str` or `os.PathLike`, *optional*):
+ A local directory, or a Hugging Face dataset holding Harbor tasks —
+ `hf://datasets//`, optionally pinned with `@`.
+ A bare `/` is treated as a dataset when no such local path
+ exists. Defaults to the tasks bundled with this environment.
+
+ Returns:
+ `Path`: A local directory to hand to [`TaskCatalog`].
+
+ Examples:
+
+ ```python
+ resolve_task_source("./tasks")
+ resolve_task_source("hf://datasets/my-org/click-pr-tasks@v1")
+ ```
+ """
+ if source is None or not str(source).strip():
+ return BUNDLED_TASKS_DIR
+
+ text = str(source).strip()
+ local = Path(text).expanduser()
+ if local.exists():
+ return local.resolve()
+
+ match = _HUB_REFERENCE.match(text)
+ if match is None:
+ raise FileNotFoundError(
+ f"task source {text!r} is neither an existing directory nor a Hugging Face "
+ "dataset reference like 'hf://datasets//'"
+ )
+
+ from huggingface_hub import snapshot_download
+
+ repo_id = match.group("repo_id")
+ logger.info("downloading Harbor tasks from dataset %s", repo_id)
+ return Path(
+ snapshot_download(
+ repo_id=repo_id,
+ revision=match.group("revision"),
+ repo_type="dataset",
+ )
+ )
+
+
+def _table(config: dict[str, Any], key: str) -> dict[str, Any]:
+ """Return `config[key]` when it is a table, else an empty one."""
+ value = config.get(key)
+ return dict(value) if isinstance(value, dict) else {}
+
+
+def _str_map(value: Any) -> dict[str, str]:
+ """Coerce a TOML table into a `str -> str` environment mapping."""
+ if not isinstance(value, dict):
+ return {}
+ return {str(k): str(v) for k, v in value.items()}
+
+
+def _timeout(config: dict[str, Any], section: str, fallback: float) -> float:
+ return _positive_float(_table(config, section).get("timeout_sec"), fallback)
+
+
+def _network_policy(
+ config: dict[str, Any], environment: dict[str, Any]
+) -> NetworkPolicy:
+ """Read the baseline policy plus the per-phase overrides Harbor allows.
+
+ `allow_internet` is Harbor's deprecated spelling; it is still honoured so
+ older tasks are not silently granted more network than they asked for.
+ """
+ baseline = _network_mode(environment.get("network_mode"))
+ if baseline is None:
+ allow_internet = environment.get("allow_internet")
+ if allow_internet is False:
+ baseline = NETWORK_NONE
+ else:
+ baseline = NETWORK_PUBLIC
+
+ hosts = environment.get("allowed_hosts")
+ allowed = tuple(str(h) for h in hosts) if isinstance(hosts, list) else ()
+ return NetworkPolicy(
+ baseline=baseline,
+ agent=_network_mode(_table(config, "agent").get("network_mode")),
+ verifier=_network_mode(_table(config, "verifier").get("network_mode")),
+ allowed_hosts=allowed,
+ )
+
+
+def _network_mode(value: Any) -> str | None:
+ """Normalize a declared mode, rejecting anything we do not understand.
+
+ An unrecognized mode must not silently degrade to `public` — that is the
+ exact failure this parsing exists to prevent.
+ """
+ if value is None:
+ return None
+ mode = str(value).strip().lower()
+ if mode not in _NETWORK_MODES:
+ raise TaskFormatError(
+ f"unknown network_mode {value!r}; expected one of {sorted(_NETWORK_MODES)}"
+ )
+ return mode
+
+
+def _user(value: Any) -> str | None:
+ """`[agent].user` / `[verifier].user`, which Harbor allows as a name or UID."""
+ if value is None or (isinstance(value, str) and not value.strip()):
+ return None
+ return str(value).strip()
+
+
+def _positive_int(value: Any, field: str) -> int | None:
+ """Parse a resource limit, distinguishing "absent" from "malformed".
+
+ Returning `None` for a bad value would read as "no limit declared", so a
+ typo would silently buy the task unlimited resources *and* stop the local
+ backend refusing it. An invalid declaration is a format error.
+ """
+ if value is None:
+ return None
+ if isinstance(value, bool) or not isinstance(value, (int, float, str)):
+ raise TaskFormatError(f"[environment].{field} must be a positive integer")
+ try:
+ parsed = int(str(value).strip())
+ except (TypeError, ValueError) as exc:
+ raise TaskFormatError(
+ f"[environment].{field} must be a positive integer, got {value!r}"
+ ) from exc
+ if parsed <= 0:
+ raise TaskFormatError(
+ f"[environment].{field} must be a positive integer, got {parsed}"
+ )
+ return parsed
+
+
+def _positive_float(value: Any, fallback: float) -> float:
+ try:
+ parsed = float(value) # type: ignore[arg-type]
+ except (TypeError, ValueError):
+ return fallback
+ return parsed if parsed > 0 else fallback
diff --git a/envs/harbor_env/uv.lock b/envs/harbor_env/uv.lock
new file mode 100644
index 000000000..398674326
--- /dev/null
+++ b/envs/harbor_env/uv.lock
@@ -0,0 +1,3286 @@
+version = 1
+revision = 3
+requires-python = ">=3.10"
+resolution-markers = [
+ "python_full_version >= '3.14' and sys_platform == 'win32'",
+ "python_full_version >= '3.14' and sys_platform != 'win32'",
+ "python_full_version == '3.13.*' and sys_platform == 'win32'",
+ "python_full_version == '3.13.*' and sys_platform != 'win32'",
+ "python_full_version == '3.12.*' and sys_platform == 'win32'",
+ "python_full_version == '3.12.*' and sys_platform == 'emscripten'",
+ "python_full_version == '3.12.*' and sys_platform != 'emscripten' and sys_platform != 'win32'",
+ "python_full_version == '3.11.*' and sys_platform == 'win32'",
+ "python_full_version == '3.11.*' and sys_platform == 'emscripten'",
+ "python_full_version == '3.11.*' and sys_platform != 'emscripten' and sys_platform != 'win32'",
+ "python_full_version < '3.11'",
+]
+
+[[package]]
+name = "aiofile"
+version = "3.9.0"
+source = { registry = "https://pypi.org/simple" }
+resolution-markers = [
+ "python_full_version < '3.11'",
+]
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+ { name = "caio", marker = "python_full_version < '3.11'" },
+]
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+[[package]]
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+ "python_full_version >= '3.14' and sys_platform == 'win32'",
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+ "python_full_version == '3.13.*' and sys_platform == 'win32'",
+ "python_full_version == '3.13.*' and sys_platform != 'win32'",
+ "python_full_version == '3.12.*' and sys_platform == 'win32'",
+ "python_full_version == '3.12.*' and sys_platform == 'emscripten'",
+ "python_full_version == '3.12.*' and sys_platform != 'emscripten' and sys_platform != 'win32'",
+ "python_full_version == '3.11.*' and sys_platform == 'win32'",
+ "python_full_version == '3.11.*' and sys_platform == 'emscripten'",
+ "python_full_version == '3.11.*' and sys_platform != 'emscripten' and sys_platform != 'win32'",
+]
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+]
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+ { url = "https://files.pythonhosted.org/packages/3a/13/547360d81e6d88d58492968ffda9f9542854f11310ee556fef14260cc886/zipp-4.1.0-py3-none-any.whl", hash = "sha256:25ad4e16390cd314347dd8f1de67a2ac538ae658ed4ab9db16029c07c188e97f", size = 10238, upload-time = "2026-05-18T20:08:57.045Z" },
+]
diff --git a/tests/envs/test_harbor_env.py b/tests/envs/test_harbor_env.py
new file mode 100644
index 000000000..bca8f796d
--- /dev/null
+++ b/tests/envs/test_harbor_env.py
@@ -0,0 +1,1275 @@
+# SPDX-License-Identifier: BSD-3-Clause
+
+"""Tests for the Harbor environment.
+
+Everything here is hermetic: no Docker, no network, no API keys. The bundled
+`fix-sum-bug` example task doubles as the end-to-end fixture, so these tests also
+guard the claim that a real Harbor task directory runs unmodified.
+"""
+
+from __future__ import annotations
+
+import io
+import json
+import tarfile
+import textwrap
+from dataclasses import replace
+from pathlib import Path
+
+import pytest
+from harbor_env import (
+ AGENT_ACTIONS,
+ CONTROL_ACTIONS,
+ HarborAction,
+ HarborEnv,
+ HarborObservation,
+ HarborState,
+)
+from harbor_env.server import (
+ DockerSandbox,
+ ExecResult,
+ HarborEnvironment,
+ HarborTask,
+ LocalSandbox,
+ Sandbox,
+ SandboxError,
+ TaskCatalog,
+ TaskFormatError,
+)
+from harbor_env.server.reward import read_reward
+from harbor_env.server.sandbox import (
+ _container_limits,
+ expand_env_refs,
+ resolve_within,
+ SandboxPaths,
+)
+from harbor_env.server.task import (
+ BUNDLED_TASKS_DIR,
+ NetworkPolicy,
+ resolve_task_source,
+ ResourceLimits,
+)
+from openenv.core.env_server.serialization import serialize_observation
+
+
+EXAMPLE_TASK_ID = "fix-sum-bug"
+
+#: The bundled task's grader runs five checks; the shipped buggy `stats.py`
+#: passes three of them.
+BUGGY_REWARD = 3 / 5
+
+
+# ---------------------------------------------------------------------------
+# helpers
+# ---------------------------------------------------------------------------
+
+
+def write_task(
+ root: Path,
+ task_id: str,
+ *,
+ config: str | None = None,
+ instruction: str = "do the thing",
+ test_script: str | None = None,
+ solve_script: str | None = None,
+ seed_files: dict[str, str] | None = None,
+ dockerfile: str | None = None,
+) -> Path:
+ """Materialize a minimal Harbor task directory for a test."""
+ task_dir = root / task_id
+ task_dir.mkdir(parents=True, exist_ok=True)
+ task_dir.joinpath("task.toml").write_text(
+ config
+ if config is not None
+ else textwrap.dedent(
+ f"""
+ schema_version = "1.4"
+
+ [task]
+ name = "tests/{task_id}"
+ description = "fixture"
+ """
+ ).strip(),
+ encoding="utf-8",
+ )
+ task_dir.joinpath("instruction.md").write_text(instruction, encoding="utf-8")
+
+ if test_script is not None:
+ tests = task_dir / "tests"
+ tests.mkdir(exist_ok=True)
+ tests.joinpath("test.sh").write_text(test_script, encoding="utf-8")
+ if solve_script is not None:
+ solution = task_dir / "solution"
+ solution.mkdir(exist_ok=True)
+ solution.joinpath("solve.sh").write_text(solve_script, encoding="utf-8")
+ for name, content in (seed_files or {}).items():
+ target = task_dir / "environment" / name
+ target.parent.mkdir(parents=True, exist_ok=True)
+ target.write_text(content, encoding="utf-8")
+ if dockerfile is not None:
+ environment = task_dir / "environment"
+ environment.mkdir(exist_ok=True)
+ environment.joinpath("Dockerfile").write_text(dockerfile, encoding="utf-8")
+ return task_dir
+
+
+def reader(files: dict[str, str]):
+ """Build the `read_text` callable that `read_reward` expects."""
+ return lambda name: files.get(name)
+
+
+# ---------------------------------------------------------------------------
+# task.toml parsing
+# ---------------------------------------------------------------------------
+
+
+def test_load_reads_harbor_schema(tmp_path: Path) -> None:
+ task_dir = write_task(
+ tmp_path,
+ "demo",
+ config=textwrap.dedent(
+ """
+ schema_version = "1.4"
+
+ [task]
+ name = "acme/demo"
+ description = "a demo"
+
+ [metadata]
+ difficulty = "easy"
+
+ [environment]
+ docker_image = "python:3.12-slim"
+
+ [agent]
+ timeout_sec = 60.0
+
+ [verifier]
+ timeout_sec = 30.0
+ """
+ ).strip(),
+ instruction="# Demo\n",
+ )
+
+ task = HarborTask.load(task_dir)
+
+ assert task.name == "acme/demo"
+ assert task.description == "a demo"
+ assert task.schema_version == "1.4"
+ assert task.instruction == "# Demo\n"
+ assert task.metadata["difficulty"] == "easy"
+ assert task.docker_image == "python:3.12-slim"
+ assert task.agent_timeout_s == 60.0
+ assert task.verifier_timeout_s == 30.0
+
+
+def test_load_reads_repo2rlenv_version_key(tmp_path: Path) -> None:
+ """Repo2RLEnv writes `version` where Harbor writes `schema_version`."""
+ task_dir = write_task(
+ tmp_path,
+ "pallets__click-2951",
+ config=textwrap.dedent(
+ """
+ version = "1.0"
+
+ [task]
+ name = "acme/pallets__click-2951"
+ description = "Fix the thing"
+
+ [metadata.repo2env]
+ pipeline = "pr_diff"
+ reward_kinds = ["diff_similarity"]
+ """
+ ).strip(),
+ )
+
+ task = HarborTask.load(task_dir)
+
+ assert task.schema_version == "1.0"
+ assert task.metadata["repo2env"]["pipeline"] == "pr_diff"
+ # Absent timeout tables fall back to Harbor's documented defaults.
+ assert task.verifier_timeout_s == 300.0
+ assert task.agent_timeout_s == 1800.0
+
+
+def test_load_rejects_non_task_directory(tmp_path: Path) -> None:
+ with pytest.raises(TaskFormatError, match="no task.toml"):
+ HarborTask.load(tmp_path)
+
+
+def test_load_rejects_windows_tasks(tmp_path: Path) -> None:
+ task_dir = write_task(
+ tmp_path,
+ "win",
+ config='schema_version = "1.4"\n\n[environment]\nos = "windows"\n',
+ )
+ with pytest.raises(TaskFormatError, match="only supports Linux"):
+ HarborTask.load(task_dir)
+
+
+def test_instruction_falls_back_to_description(tmp_path: Path) -> None:
+ task_dir = write_task(tmp_path, "terse")
+ (task_dir / "instruction.md").unlink()
+ assert HarborTask.load(task_dir).instruction == "fixture"
+
+
+# ---------------------------------------------------------------------------
+# self-contained vs image-backed tasks
+# ---------------------------------------------------------------------------
+
+
+def test_seed_files_make_a_task_self_contained(tmp_path: Path) -> None:
+ task_dir = write_task(tmp_path, "seeded", seed_files={"app.py": "x = 1\n"})
+ task = HarborTask.load(task_dir)
+
+ assert [p.name for p in task.seed_files] == ["app.py"]
+ assert task.needs_image is False
+
+
+def test_dockerfile_suppresses_seed_upload(tmp_path: Path) -> None:
+ """Harbor only uploads environment/ when it holds no build recipe."""
+ task_dir = write_task(
+ tmp_path,
+ "built",
+ seed_files={"app.py": "x = 1\n"},
+ dockerfile="FROM python:3.12-slim\n",
+ )
+ task = HarborTask.load(task_dir)
+
+ assert task.seed_files == ()
+ assert task.needs_image is True
+
+
+def test_docker_image_alone_needs_an_image(tmp_path: Path) -> None:
+ task_dir = write_task(
+ tmp_path,
+ "prebuilt",
+ config='schema_version = "1.4"\n\n[environment]\ndocker_image = "ghcr.io/acme/x:1"\n',
+ )
+ assert HarborTask.load(task_dir).needs_image is True
+
+
+# ---------------------------------------------------------------------------
+# discovery
+# ---------------------------------------------------------------------------
+
+
+def test_catalog_finds_flat_and_nested_tasks(tmp_path: Path) -> None:
+ write_task(tmp_path, "alpha")
+ write_task(tmp_path / "tasks", "beta") # the layout `repo2rlenv push` writes
+
+ catalog = TaskCatalog(tmp_path)
+
+ assert catalog.task_ids() == ["alpha", "tasks/beta"]
+ assert catalog.get("tasks/beta").task_id == "tasks/beta"
+ # A bare directory name resolves when it is unambiguous.
+ assert catalog.get("beta").task_id == "tasks/beta"
+
+
+def test_catalog_accepts_a_single_task_directory(tmp_path: Path) -> None:
+ task_dir = write_task(tmp_path, "solo")
+ assert TaskCatalog(task_dir).task_ids() == ["solo"]
+
+
+def test_catalog_reports_ambiguous_and_unknown_ids(tmp_path: Path) -> None:
+ write_task(tmp_path / "a", "dup")
+ write_task(tmp_path / "b", "dup")
+ catalog = TaskCatalog(tmp_path)
+
+ with pytest.raises(KeyError, match="ambiguous"):
+ catalog.get("dup")
+ with pytest.raises(KeyError, match="unknown task"):
+ catalog.get("nope")
+
+
+def test_catalog_caches_its_scan_until_refreshed(tmp_path: Path) -> None:
+ write_task(tmp_path, "first")
+ catalog = TaskCatalog(tmp_path)
+ assert catalog.task_ids() == ["first"]
+
+ write_task(tmp_path, "second")
+ assert catalog.task_ids() == ["first"] # served task sets are fixed
+
+ catalog.refresh()
+ assert catalog.task_ids() == ["first", "second"]
+
+
+def test_resolve_task_source_defaults_to_bundled_tasks() -> None:
+ assert resolve_task_source(None) == BUNDLED_TASKS_DIR
+ assert resolve_task_source(" ") == BUNDLED_TASKS_DIR
+
+
+def test_resolve_task_source_rejects_nonsense() -> None:
+ with pytest.raises(FileNotFoundError, match="neither an existing directory"):
+ resolve_task_source("./definitely/not/here")
+
+
+# ---------------------------------------------------------------------------
+# reward contract
+# ---------------------------------------------------------------------------
+
+
+def test_reward_json_takes_precedence_over_reward_txt() -> None:
+ report = read_reward(
+ reader(
+ {"reward.json": '{"reward": 0.75, "f2p_rate": 0.5}', "reward.txt": "0.1"}
+ )
+ )
+
+ assert report.value == 0.75
+ assert report.source == "reward.json"
+ assert report.metrics == {"reward": 0.75, "f2p_rate": 0.5}
+ assert report.graded is True
+
+
+def test_reward_json_with_a_single_metric_is_unambiguous() -> None:
+ report = read_reward(reader({"reward.json": '{"accuracy": 0.5}'}))
+ assert report.value == 0.5
+ assert report.source == "reward.json"
+
+
+def test_reward_json_without_a_primary_metric_falls_back_to_txt() -> None:
+ report = read_reward(
+ reader(
+ {
+ "reward.json": '{"accuracy": 0.5, "runtime_sec": 2.0}',
+ "reward.txt": "0.9",
+ }
+ )
+ )
+
+ assert report.value == 0.9
+ assert report.source == "reward.txt"
+ assert report.metrics == {"accuracy": 0.5, "runtime_sec": 2.0}
+ assert any("no 'reward' key" in e for e in report.errors)
+
+
+def test_reward_txt_alone_is_honoured() -> None:
+ report = read_reward(reader({"reward.txt": "1\n"}))
+ assert report.value == 1.0
+ assert report.source == "reward.txt"
+
+
+def test_missing_reward_files_are_not_synthesized_into_zero() -> None:
+ report = read_reward(reader({}))
+
+ assert report.value is None
+ assert report.graded is False
+ assert report.source == "missing"
+
+
+def test_malformed_reward_files_are_reported_not_guessed() -> None:
+ report = read_reward(reader({"reward.json": "{oops", "reward.txt": "not-a-number"}))
+
+ assert report.value is None
+ assert len(report.errors) == 2
+
+
+def test_repo2rlenv_details_sidecar_is_surfaced_but_never_scored() -> None:
+ details = {"reward": 0.83, "f2p_passed": 2, "components": {"similarity": 0.4}}
+ report = read_reward(
+ reader({"reward-details.json": json.dumps(details), "reward.txt": "0.83"})
+ )
+
+ assert report.value == 0.83
+ assert report.source == "reward.txt"
+ assert report.details["components"]["similarity"] == 0.4
+
+
+# ---------------------------------------------------------------------------
+# sandbox primitives
+# ---------------------------------------------------------------------------
+
+
+@pytest.mark.parametrize("relative", ["a.py", "pkg/mod.py", "./pkg/../a.py"])
+def test_resolve_within_accepts_paths_inside_the_workdir(relative: str) -> None:
+ assert resolve_within("/work", relative).startswith("/work")
+
+
+@pytest.mark.parametrize(
+ "relative", ["../tests/grade.py", "../../etc/passwd", "/etc/passwd", "a/../../b"]
+)
+def test_resolve_within_rejects_escapes(relative: str) -> None:
+ with pytest.raises(ValueError):
+ resolve_within("/work", relative)
+
+
+@pytest.mark.parametrize("relative", ["", " ", ".", "a/.."])
+def test_resolve_within_rejects_paths_naming_the_workdir(relative: str) -> None:
+ """An empty path must not resolve to the working directory itself.
+
+ `read` would try to cat a directory and report a confusing "no such file",
+ but `write` is worse: the target splits into ("/", "workspace"), so the
+ upload would drop a regular file over the whole checkout.
+ """
+ with pytest.raises(ValueError):
+ resolve_within("/work", relative)
+
+
+def test_empty_paths_are_rejected_as_actions(env: HarborEnvironment) -> None:
+ """The action layer surfaces the rejection instead of a backend error."""
+ env.reset(task_id=EXAMPLE_TASK_ID)
+
+ for action in (
+ HarborAction(action_type="read", path=""),
+ HarborAction(action_type="write", path="", content="x"),
+ ):
+ observation = env.step(action)
+ assert not observation.success
+ assert "path" in observation.error
+
+ # The working directory survived the write attempt.
+ listing = env.step(HarborAction(action_type="exec", command="ls"))
+ assert listing.output.split() == ["stats.py"]
+
+
+def test_docker_upload_dir_archives_each_entry_once(
+ tmp_path: Path, monkeypatch: pytest.MonkeyPatch
+) -> None:
+ """`rglob` yields directories too, and `tarfile.add` recurses by default.
+
+ Left alone, every nested file is archived once through its parent directory
+ and again on its own iteration.
+ """
+ source = tmp_path / "tests"
+ (source / "nested").mkdir(parents=True)
+ (source / "test.sh").write_text("#!/bin/bash\n", encoding="utf-8")
+ (source / "nested" / "grade.py").write_text("x = 1\n", encoding="utf-8")
+
+ captured: dict[str, bytes] = {}
+
+ class _FakeContainer:
+ def put_archive(self, path: str, data: bytes) -> bool:
+ captured["data"] = data
+ return True
+
+ sandbox = DockerSandbox()
+ monkeypatch.setattr(sandbox, "_require_container", lambda: _FakeContainer())
+ monkeypatch.setattr(sandbox, "mkdirs", lambda *args, **kwargs: None)
+
+ sandbox.upload_dir(source, "/tests")
+
+ with tarfile.open(fileobj=io.BytesIO(captured["data"])) as archive:
+ names = archive.getnames()
+
+ assert sorted(names) == ["nested", "nested/grade.py", "test.sh"]
+ assert len(names) == len(set(names))
+
+
+def test_action_types_partition_into_agent_and_control() -> None:
+ """The two sets must stay a partition of what the server actually handles.
+
+ They are what documents which actions belong in a policy's action space, so
+ a new action type that nobody classified would silently read as
+ agent-reachable.
+ """
+ handled = set(
+ HarborEnvironment(tasks=str(BUNDLED_TASKS_DIR), mode="local")._handlers
+ )
+
+ assert AGENT_ACTIONS | CONTROL_ACTIONS == handled
+ assert not (AGENT_ACTIONS & CONTROL_ACTIONS)
+ # Everything classified is also accepted on the wire, and nothing else is.
+ for action_type in handled:
+ HarborAction(action_type=action_type)
+ with pytest.raises(ValueError):
+ HarborAction(action_type="reset")
+
+
+def test_sandbox_paths_expose_harbor_layout_as_env() -> None:
+ env = SandboxPaths(workdir="/workspace").as_env()
+
+ assert env["HARBOR_WORKDIR"] == "/workspace"
+ assert env["HARBOR_TESTS_DIR"] == "/tests"
+ assert env["HARBOR_LOGS_DIR"] == "/logs/verifier"
+
+
+def test_expand_env_refs_resolves_and_blanks_missing_values(monkeypatch) -> None:
+ monkeypatch.setenv("HARBOR_TEST_TOKEN", "s3cret")
+ monkeypatch.delenv("HARBOR_TEST_ABSENT", raising=False)
+
+ resolved = expand_env_refs(
+ {"A": "${HARBOR_TEST_TOKEN}", "B": "$HARBOR_TEST_ABSENT"}
+ )
+
+ assert resolved == {"A": "s3cret", "B": ""}
+
+
+def test_local_sandbox_refuses_image_backed_tasks(tmp_path: Path) -> None:
+ task = HarborTask.load(
+ write_task(tmp_path, "needs-image", dockerfile="FROM python:3.12-slim\n")
+ )
+ sandbox = LocalSandbox()
+ try:
+ with pytest.raises(SandboxError, match="HARBOR_MODE=docker"):
+ sandbox.start(task)
+ finally:
+ sandbox.close()
+
+
+def test_local_sandbox_cleans_up_its_root(tmp_path: Path) -> None:
+ task = HarborTask.load(
+ write_task(tmp_path, "seeded", seed_files={"a.py": "x = 1\n"})
+ )
+ sandbox = LocalSandbox()
+ sandbox.start(task)
+ root = sandbox.root
+
+ assert (Path(sandbox.paths.workdir) / "a.py").is_file()
+ sandbox.close()
+ assert not root.exists()
+
+
+# ---------------------------------------------------------------------------
+# environment: the bundled example task, end to end
+# ---------------------------------------------------------------------------
+
+
+@pytest.fixture
+def env():
+ environment = HarborEnvironment(mode="local")
+ yield environment
+ environment.close()
+
+
+def test_reset_serves_the_task_instruction(env: HarborEnvironment) -> None:
+ obs = env.reset(task_id=EXAMPLE_TASK_ID)
+
+ assert obs.task_id == EXAMPLE_TASK_ID
+ assert obs.task_name == "openenv/fix-sum-bug"
+ assert obs.mode == "local"
+ assert "stats.py" in obs.instruction
+ assert obs.done is False
+ assert env.state.available_tasks == [EXAMPLE_TASK_ID]
+
+
+def test_seed_files_land_in_the_working_directory(env: HarborEnvironment) -> None:
+ env.reset(task_id=EXAMPLE_TASK_ID)
+ obs = env.step(HarborAction(action_type="read", path="stats.py"))
+
+ assert obs.success is True
+ assert "def total(values)" in obs.output
+
+
+def test_verifier_reward_is_forwarded_verbatim(env: HarborEnvironment) -> None:
+ env.reset(task_id=EXAMPLE_TASK_ID)
+ obs = env.step(HarborAction(action_type="evaluate"))
+
+ assert obs.reward == pytest.approx(BUGGY_REWARD)
+ assert obs.done is True
+ assert obs.info["reward_source"] == "reward.json"
+ assert obs.info["reward_metrics"]["total_empty"] == 0.0
+ assert env.state.evaluated is True
+ assert env.state.reward == pytest.approx(BUGGY_REWARD)
+
+
+def test_agent_edits_change_the_reward(env: HarborEnvironment) -> None:
+ env.reset(task_id=EXAMPLE_TASK_ID)
+ fixed = textwrap.dedent(
+ """
+ def total(values):
+ return sum(values)
+
+
+ def mean(values):
+ if not values:
+ return 0.0
+ return total(values) / len(values)
+ """
+ ).strip()
+ write = env.step(HarborAction(action_type="write", path="stats.py", content=fixed))
+ assert write.success is True
+
+ assert env.step(HarborAction(action_type="evaluate")).reward == pytest.approx(1.0)
+
+
+def test_oracle_solution_earns_full_reward(env: HarborEnvironment) -> None:
+ """`solve` is how a task set is validated: the oracle must score 1.0."""
+ env.reset(task_id=EXAMPLE_TASK_ID)
+ solved = env.step(HarborAction(action_type="solve"))
+ assert solved.success is True
+
+ assert env.step(HarborAction(action_type="evaluate")).reward == pytest.approx(1.0)
+
+
+def test_exec_reports_failures_without_ending_the_episode(
+ env: HarborEnvironment,
+) -> None:
+ env.reset(task_id=EXAMPLE_TASK_ID)
+ obs = env.step(HarborAction(action_type="exec", command="exit 3"))
+
+ assert obs.success is False
+ assert obs.exit_code == 3
+ assert obs.done is False
+ assert obs.reward is None
+
+
+def test_agent_cannot_reach_the_verifier(env: HarborEnvironment) -> None:
+ env.reset(task_id=EXAMPLE_TASK_ID)
+
+ escape = env.step(HarborAction(action_type="read", path="../tests/grade.py"))
+ assert escape.success is False
+ assert "escapes the working directory" in escape.error
+
+ # tests/ is staged only when the verifier runs, so it is not there yet.
+ listing = env.step(HarborAction(action_type="exec", command="ls"))
+ assert listing.output.split() == ["stats.py"]
+
+
+def test_planted_reward_files_are_discarded(env: HarborEnvironment) -> None:
+ """A reward the agent writes itself must not survive into the score.
+
+ The path is taken from the sandbox rather than `$HARBOR_LOGS_DIR`, which is
+ deliberately hidden from agent commands — reading it from the environment
+ would make the plant fail and the test pass for the wrong reason.
+ """
+ env.reset(task_id=EXAMPLE_TASK_ID)
+ logs_dir = env._sandbox.paths.logs_verifier
+ env.step(
+ HarborAction(
+ action_type="exec",
+ command=(
+ f"mkdir -p {logs_dir!r} && "
+ f"echo '{{\"reward\": 1.0}}' > {logs_dir!r}/reward.json"
+ ),
+ )
+ )
+ planted = Path(logs_dir) / "reward.json"
+ assert planted.is_file(), "the plant itself failed; the test would be vacuous"
+
+ assert env.step(HarborAction(action_type="evaluate")).reward == pytest.approx(
+ BUGGY_REWARD
+ )
+
+
+def test_unscorable_episode_reports_no_reward(tmp_path: Path) -> None:
+ """A verifier that writes nothing must not be turned into a 0.0."""
+ write_task(
+ tmp_path,
+ "silent",
+ seed_files={"noop.txt": "hi\n"},
+ test_script="#!/bin/bash\necho 'graded nothing'\n",
+ )
+ environment = HarborEnvironment(tasks=str(tmp_path), mode="local")
+ try:
+ environment.reset(task_id="silent")
+ obs = environment.step(HarborAction(action_type="evaluate"))
+ finally:
+ environment.close()
+
+ assert obs.reward is None
+ assert obs.done is True
+ assert obs.success is False
+ assert "wrote no reward file" in obs.error
+ assert obs.info["reward_source"] == "missing"
+
+
+def test_missing_verifier_is_reported(tmp_path: Path) -> None:
+ write_task(tmp_path, "ungraded", seed_files={"a.txt": "x\n"})
+ environment = HarborEnvironment(tasks=str(tmp_path), mode="local")
+ try:
+ environment.reset(task_id="ungraded")
+ obs = environment.step(HarborAction(action_type="evaluate"))
+ finally:
+ environment.close()
+
+ assert obs.success is False
+ assert "no tests/test.sh" in obs.error
+
+
+def test_absolute_path_verifier_gets_an_actionable_hint(tmp_path: Path) -> None:
+ write_task(
+ tmp_path,
+ "hardcoded",
+ seed_files={"a.txt": "x\n"},
+ test_script="#!/bin/bash\necho 1.0 > /logs/verifier/reward.txt\n",
+ )
+ environment = HarborEnvironment(tasks=str(tmp_path), mode="local")
+ try:
+ environment.reset(task_id="hardcoded")
+ obs = environment.step(HarborAction(action_type="evaluate"))
+ finally:
+ environment.close()
+
+ assert obs.reward is None
+ assert "HARBOR_MODE=docker" in obs.error
+
+
+def test_step_before_reset_is_reported(env: HarborEnvironment) -> None:
+ obs = env.step(HarborAction(action_type="exec", command="ls"))
+
+ assert obs.success is False
+ assert "call reset() first" in obs.error
+
+
+def test_reset_without_a_task_id_lists_the_options(tmp_path: Path) -> None:
+ write_task(tmp_path, "one")
+ write_task(tmp_path, "two")
+ environment = HarborEnvironment(tasks=str(tmp_path), mode="local")
+ try:
+ with pytest.raises(ValueError, match="needs a task_id"):
+ environment.reset()
+ finally:
+ environment.close()
+
+
+def test_failed_reset_does_not_leave_the_previous_episode_in_state(
+ env: HarborEnvironment,
+) -> None:
+ """A reset that raises must not leave `state` describing a dead episode.
+
+ reset() tears the old sandbox down before it can fail, so reporting the
+ previous task afterwards would tell a trainer an episode is running when
+ nothing is.
+ """
+ env.reset(task_id=EXAMPLE_TASK_ID)
+ env.step(HarborAction(action_type="evaluate"))
+ assert env.state.task_id == EXAMPLE_TASK_ID
+ assert env.state.evaluated
+
+ with pytest.raises(KeyError):
+ env.reset(task_id="no-such-task")
+
+ assert env.state.task_id == ""
+ assert env.state.task_name == ""
+ assert env.state.workdir == ""
+ assert env.state.reward is None
+ assert not env.state.evaluated
+ # The catalog listing survives — it does not belong to any one episode.
+ assert env.state.task_count == 1
+
+
+def test_reset_starts_a_clean_episode(env: HarborEnvironment) -> None:
+ env.reset(task_id=EXAMPLE_TASK_ID)
+ env.step(HarborAction(action_type="write", path="scratch.txt", content="dirty"))
+ first_workdir = env.state.workdir
+
+ env.reset(task_id=EXAMPLE_TASK_ID)
+
+ assert env.state.workdir != first_workdir
+ assert env.state.step_count == 0
+ assert env.step(HarborAction(action_type="exec", command="ls")).output.split() == [
+ "stats.py"
+ ]
+
+
+# ---------------------------------------------------------------------------
+# wire contract between client and server
+# ---------------------------------------------------------------------------
+
+
+def test_action_schema_rejects_unknown_action_types() -> None:
+ with pytest.raises(ValueError):
+ HarborAction(action_type="rm_rf")
+
+
+def test_client_parses_what_the_server_serializes(env: HarborEnvironment) -> None:
+ env.reset(task_id=EXAMPLE_TASK_ID)
+ observation = env.step(HarborAction(action_type="evaluate"))
+ payload = serialize_observation(observation)
+
+ result = HarborEnv(base_url="http://localhost:8000")._parse_result(payload)
+
+ assert isinstance(result.observation, HarborObservation)
+ assert result.reward == pytest.approx(BUGGY_REWARD)
+ assert result.done is True
+ assert result.observation.info["reward_source"] == "reward.json"
+
+
+def test_client_parses_state(env: HarborEnvironment) -> None:
+ env.reset(task_id=EXAMPLE_TASK_ID)
+
+ state = HarborEnv(base_url="http://localhost:8000")._parse_state(
+ env.state.model_dump()
+ )
+
+ assert isinstance(state, HarborState)
+ assert state.task_id == EXAMPLE_TASK_ID
+ assert state.mode == "local"
+
+
+def test_client_step_payload_round_trips(tmp_path: Path) -> None:
+ action = HarborAction(action_type="write", path="a.py", content="x = 1\n")
+
+ payload = HarborEnv(base_url="http://localhost:8000")._step_payload(action)
+
+ assert HarborAction.model_validate(payload) == action
+
+
+# ---------------------------------------------------------------------------
+# task policies: network, resources, user
+# ---------------------------------------------------------------------------
+
+_POLICY_TASK = textwrap.dedent(
+ """
+ schema_version = "1.4"
+
+ [task]
+ name = "tests/policy"
+ description = "fixture"
+
+ [environment]
+ network_mode = "no-network"
+ cpus = 2
+ memory_mb = 512
+
+ [agent]
+ user = "agent"
+
+ [verifier]
+ user = "root"
+ """
+).strip()
+
+
+def test_task_parses_network_resource_and_user_policies(tmp_path: Path) -> None:
+ write_task(tmp_path, "policy", config=_POLICY_TASK, seed_files={"a.py": "x = 1\n"})
+ task = TaskCatalog(tmp_path).get("policy")
+
+ assert task.network.baseline == "no-network"
+ assert task.network.restricted
+ assert task.resources.cpus == 2
+ assert task.resources.memory_mb == 512
+ assert task.agent_user == "agent"
+ assert task.verifier_user == "root"
+
+
+def test_unknown_network_mode_is_rejected_not_downgraded(tmp_path: Path) -> None:
+ """Silently treating an unrecognized mode as `public` is the bug to avoid."""
+ config = _POLICY_TASK.replace('network_mode = "no-network"', 'network_mode = "vpn"')
+ write_task(tmp_path, "weird", config=config, seed_files={"a.py": "x = 1\n"})
+
+ with pytest.raises(TaskFormatError, match="network_mode"):
+ TaskCatalog(tmp_path).get("weird")
+
+
+def test_deprecated_allow_internet_false_still_restricts(tmp_path: Path) -> None:
+ config = textwrap.dedent(
+ """
+ schema_version = "1.4"
+
+ [task]
+ name = "tests/legacy"
+
+ [environment]
+ allow_internet = false
+ """
+ ).strip()
+ write_task(tmp_path, "legacy", config=config, seed_files={"a.py": "x = 1\n"})
+
+ assert TaskCatalog(tmp_path).get("legacy").network.baseline == "no-network"
+
+
+def test_local_backend_refuses_policies_it_cannot_enforce(tmp_path: Path) -> None:
+ """Fail closed: a no-network task must not silently get the host network."""
+ write_task(tmp_path, "policy", config=_POLICY_TASK, seed_files={"a.py": "x = 1\n"})
+ task = TaskCatalog(tmp_path).get("policy")
+ sandbox = LocalSandbox()
+
+ with pytest.raises(SandboxError) as excinfo:
+ sandbox.start(task)
+
+ message = str(excinfo.value)
+ assert "network_mode" in message
+ assert "resource limits" in message
+ assert "a declared user" in message
+ assert "HARBOR_MODE=docker" in message
+ sandbox.close()
+
+
+def test_docker_limits_translate_harbor_policies() -> None:
+ """no-network → an isolated network; cpus/memory → real container caps."""
+ task = HarborTask.load(BUNDLED_TASKS_DIR / EXAMPLE_TASK_ID)
+ restricted = replace(
+ task,
+ network=NetworkPolicy(baseline="no-network"),
+ resources=ResourceLimits(cpus=2, memory_mb=512),
+ )
+
+ limits = _container_limits(restricted)
+
+ assert limits["network_mode"] == "none"
+ assert limits["cpu_quota"] == 200_000
+ assert limits["cpu_period"] == 100_000
+ assert limits["mem_limit"] == "512m"
+ # An unrestricted task gets no constraints imposed on it.
+ assert _container_limits(task) == {}
+
+
+def test_allowlist_and_gpu_tasks_are_refused_rather_than_approximated() -> None:
+ task = HarborTask.load(BUNDLED_TASKS_DIR / EXAMPLE_TASK_ID)
+
+ with pytest.raises(SandboxError, match="allowlist"):
+ _container_limits(replace(task, network=NetworkPolicy(baseline="allowlist")))
+ with pytest.raises(SandboxError, match="GPU"):
+ _container_limits(replace(task, resources=ResourceLimits(gpus=1)))
+
+
+def test_mixed_phase_network_modes_take_the_restrictive_one() -> None:
+ """One container, one network — never resolve the conflict permissively."""
+ task = HarborTask.load(BUNDLED_TASKS_DIR / EXAMPLE_TASK_ID)
+ mixed = replace(
+ task, network=NetworkPolicy(baseline="public", verifier="no-network")
+ )
+
+ assert _container_limits(mixed)["network_mode"] == "none"
+
+
+# ---------------------------------------------------------------------------
+# the agent's view of the server
+# ---------------------------------------------------------------------------
+
+
+def test_reset_does_not_disclose_the_task_directory(env: HarborEnvironment) -> None:
+ """The observation reaches the agent; the task path points at solution/."""
+ observation = env.reset(task_id=EXAMPLE_TASK_ID)
+
+ assert "path" not in observation.info["task"]
+ assert str(BUNDLED_TASKS_DIR) not in json.dumps(observation.info)
+ # `state` rides the same socket, so it must not carry the path either.
+ assert str(BUNDLED_TASKS_DIR) not in json.dumps(env.state.model_dump())
+
+
+def test_local_exec_does_not_inherit_server_secrets(
+ env: HarborEnvironment, monkeypatch: pytest.MonkeyPatch
+) -> None:
+ """Task commands are attacker-controlled; the server's tokens are not theirs."""
+ monkeypatch.setenv("HF_TOKEN", "hf_super_secret")
+ env.reset(task_id=EXAMPLE_TASK_ID)
+
+ observation = env.step(HarborAction(action_type="exec", command="env"))
+
+ assert "hf_super_secret" not in observation.output
+ # PATH still gets through, or nothing would run at all.
+ assert "PATH=" in observation.output
+
+
+# ---------------------------------------------------------------------------
+# episode termination and the control-action split
+# ---------------------------------------------------------------------------
+
+
+def test_episode_stays_terminal_after_evaluate(env: HarborEnvironment) -> None:
+ """`done` must never walk back from True to False."""
+ env.reset(task_id=EXAMPLE_TASK_ID)
+ graded = env.step(HarborAction(action_type="evaluate"))
+ assert graded.done
+
+ for action in (
+ HarborAction(action_type="exec", command="ls"),
+ HarborAction(action_type="read", path="stats.py"),
+ HarborAction(action_type="evaluate"),
+ ):
+ observation = env.step(action)
+ assert observation.done, f"{action.action_type} reported done=False"
+ assert not observation.success
+ assert observation.reward is None
+ assert "episode ended" in observation.error
+
+
+def test_control_actions_can_be_refused_server_side(tmp_path: Path) -> None:
+ """The agent/orchestration split, enforced rather than documented."""
+ environment = HarborEnvironment(mode="local", allow_control_actions=False)
+ try:
+ environment.reset(task_id=EXAMPLE_TASK_ID)
+
+ for action_type in sorted(CONTROL_ACTIONS):
+ observation = environment.step(HarborAction(action_type=action_type))
+ assert not observation.success
+ assert "orchestration control" in observation.error
+ assert not observation.done
+
+ # Agent actions are unaffected.
+ assert environment.step(HarborAction(action_type="exec", command="ls")).success
+ finally:
+ environment.close()
+
+
+def test_agent_commands_are_not_told_where_the_verifier_lives(
+ env: HarborEnvironment,
+) -> None:
+ """`/tests` holds the grading logic and `/solution` holds the answer.
+
+ Exporting their locations into the agent's environment hands a policy the
+ map even when the directories are not staged yet.
+ """
+ env.reset(task_id=EXAMPLE_TASK_ID)
+
+ observation = env.step(
+ HarborAction(
+ action_type="exec",
+ command="echo [$HARBOR_SOLUTION_DIR][$HARBOR_TESTS_DIR][$HARBOR_LOGS_DIR]",
+ )
+ )
+
+ assert observation.output.strip() == "[][][]"
+ # The agent still knows where it is working.
+ assert (
+ "HARBOR_WORKDIR"
+ in env.step(HarborAction(action_type="exec", command="env")).output
+ )
+
+
+def test_verifier_still_receives_its_paths(env: HarborEnvironment) -> None:
+ """Withholding paths from the agent must not break the verifier."""
+ env.reset(task_id=EXAMPLE_TASK_ID)
+
+ graded = env.step(HarborAction(action_type="evaluate"))
+
+ assert graded.reward == pytest.approx(BUGGY_REWARD)
+ assert graded.info["reward_source"] == "reward.json"
+
+
+def test_planted_files_do_not_survive_into_the_staged_verifier(tmp_path: Path) -> None:
+ """The agent shares the filesystem and can pre-create the tests directory.
+
+ Anything it leaves there must be wiped before the real `tests/` lands, or a
+ policy could plant a file the verifier goes on to read.
+ """
+ write_task(
+ tmp_path,
+ "plantable",
+ seed_files={"a.py": "x = 1\n"},
+ test_script=(
+ "#!/bin/bash\n"
+ 'mkdir -p "$HARBOR_LOGS_DIR"\n'
+ 'if [ -f "$HARBOR_TESTS_DIR/planted.txt" ]; then\n'
+ ' echo "1.0" > "$HARBOR_LOGS_DIR/reward.txt"\n'
+ "else\n"
+ ' echo "0.0" > "$HARBOR_LOGS_DIR/reward.txt"\n'
+ "fi\n"
+ "exit 0\n"
+ ),
+ )
+ environment = HarborEnvironment(tasks=str(tmp_path), mode="local")
+ try:
+ environment.reset(task_id="plantable")
+ tests_dir = Path(environment._sandbox.paths.tests)
+ tests_dir.mkdir(parents=True, exist_ok=True)
+ (tests_dir / "planted.txt").write_text("gotcha", encoding="utf-8")
+
+ graded = environment.step(HarborAction(action_type="evaluate"))
+
+ assert graded.reward == 0.0, "a planted file survived into the verifier"
+ assert not (tests_dir / "planted.txt").exists()
+ finally:
+ environment.close()
+
+
+def test_declared_user_gets_ownership_of_what_it_must_write() -> None:
+ """`[agent].user` is useless if the agent cannot write its own workdir.
+
+ The Harbor directories are created by the image's default account, so a
+ non-root phase inherits a tree it cannot touch — `write` fails and the
+ verifier cannot save its reward. Ownership is handed over explicitly.
+ """
+ task = replace(
+ HarborTask.load(BUNDLED_TASKS_DIR / EXAMPLE_TASK_ID),
+ agent_user="nobody",
+ verifier_user="nobody",
+ )
+ sandbox = _RecordingSandbox()
+
+ sandbox.start(task)
+ sandbox.run_verifier(task)
+
+ assert ("nobody", sandbox.paths.workdir) in sandbox.chowned
+ assert ("nobody", sandbox.paths.logs_verifier) in sandbox.chowned
+
+
+class _RecordingSandbox(Sandbox):
+ """A sandbox that records the calls the phases make, without executing."""
+
+ mode = "recording"
+
+ def __init__(self) -> None:
+ self.paths = SandboxPaths(workdir="/app")
+ self.task_env = {}
+ self.chowned: list[tuple[str, str]] = []
+ self.read_users: list[str | None] = []
+ self.write_users: list[str | None] = []
+ self.agent_user: str | None = None
+
+ def _boot(self, task: HarborTask) -> SandboxPaths:
+ return self.paths
+
+ def exec(self, command, *, timeout_s, env=None, workdir=None, user=None, **kw):
+ return ExecResult(0, "")
+
+ def chown(self, user: str | None, *paths: str) -> None:
+ if user:
+ self.chowned.extend((user, path) for path in paths)
+
+ def real_path(self, path: str) -> str:
+ return path
+
+ def read_text(self, path: str, user: str | None = None) -> str | None:
+ self.read_users.append(user)
+ return "contents"
+
+ def write_text(self, path: str, content: str, user: str | None = None) -> None:
+ self.write_users.append(user)
+
+ def upload_dir(self, source, destination: str) -> None:
+ return None
+
+ def close(self) -> None:
+ return None
+
+
+def test_malformed_resource_limits_are_rejected_not_ignored(tmp_path: Path) -> None:
+ """A typo must not silently buy the task unlimited resources.
+
+ Treating an invalid value as "absent" would also stop the local backend
+ refusing the task, so the failure compounds.
+ """
+ for bad in ("0", "-4", '"lots"'):
+ config = textwrap.dedent(
+ f"""
+ schema_version = "1.4"
+
+ [task]
+ name = "tests/bad"
+
+ [environment]
+ cpus = {bad}
+ """
+ ).strip()
+ write_task(tmp_path, "bad", config=config, seed_files={"a.py": "x = 1\n"})
+ catalog = TaskCatalog(tmp_path)
+ catalog.refresh()
+
+ with pytest.raises(TaskFormatError, match="cpus"):
+ catalog.get("bad")
+
+
+def test_storage_limits_are_refused_rather_than_faked() -> None:
+ """Docker accepts `storage_opt` on drivers that never enforce it.
+
+ A task that believes it is capped and is not is worse than one that is told
+ up front we cannot cap it.
+ """
+ task = HarborTask.load(BUNDLED_TASKS_DIR / EXAMPLE_TASK_ID)
+
+ with pytest.raises(SandboxError, match="quota"):
+ _container_limits(replace(task, resources=ResourceLimits(storage_mb=32)))
+
+
+def test_phase_overrides_replace_the_baseline_they_override() -> None:
+ """A baseline both phases override must not still take effect."""
+ policy = NetworkPolicy(baseline="no-network", agent="public", verifier="public")
+
+ assert policy.modes == {"public"}
+ assert not policy.restricted
+
+ task = HarborTask.load(BUNDLED_TASKS_DIR / EXAMPLE_TASK_ID)
+ assert "network_mode" not in _container_limits(replace(task, network=policy))
+
+
+def test_agent_supplied_timeout_cannot_exceed_the_configured_ceiling(
+ tmp_path: Path,
+) -> None:
+ """`timeout_s` arrives on the wire, so it is policy-controlled."""
+ recorded: list[float] = []
+
+ class _Recording(LocalSandbox):
+ def exec(self, command, *, timeout_s, env=None, workdir=None, **kw):
+ recorded.append(timeout_s)
+ return ExecResult(0, "")
+
+ environment = HarborEnvironment(
+ mode="local", command_timeout_s=5.0, sandbox_factory=lambda mode: _Recording()
+ )
+ try:
+ environment.reset(task_id=EXAMPLE_TASK_ID)
+ recorded.clear()
+ environment.step(
+ HarborAction(action_type="exec", command="sleep 1", timeout_s=86_400.0)
+ )
+ finally:
+ environment.close()
+
+ assert recorded == [5.0]
+
+
+def test_agent_reads_and_writes_run_as_the_declared_user() -> None:
+ """`read` used `cat` as root and `write` extracted a root-owned tar.
+
+ Either would let a task that declared an unprivileged agent reach files
+ that agent could never have touched with `exec`.
+ """
+ task = replace(
+ HarborTask.load(BUNDLED_TASKS_DIR / EXAMPLE_TASK_ID), agent_user="nobody"
+ )
+ del task # the sandbox is driven directly below
+ sandbox = _RecordingSandbox()
+ environment = HarborEnvironment(mode="local", sandbox_factory=lambda mode: sandbox)
+ try:
+ environment.reset(task_id=EXAMPLE_TASK_ID)
+ sandbox.agent_user = "nobody"
+ environment.step(HarborAction(action_type="read", path="stats.py"))
+ environment.step(
+ HarborAction(action_type="write", path="stats.py", content="x = 1\n")
+ )
+ finally:
+ environment.close()
+
+ assert sandbox.read_users == ["nobody"]
+ assert sandbox.write_users == ["nobody"]
+
+
+def test_symlinks_cannot_walk_read_write_out_of_the_workdir(
+ env: HarborEnvironment,
+) -> None:
+ """`resolve_within` is lexical, so it cannot see a link the agent planted.
+
+ `exec ln -s /tests t` followed by `read path="t/test.sh"` would otherwise
+ walk straight out of the working directory and read the grader.
+ """
+ env.reset(task_id=EXAMPLE_TASK_ID)
+ tests_dir = Path(env._sandbox.paths.tests)
+ tests_dir.mkdir(parents=True, exist_ok=True)
+ (tests_dir / "grade.py").write_text("# grader internals\n", encoding="utf-8")
+ env.step(HarborAction(action_type="exec", command=f"ln -sfn {tests_dir} link"))
+
+ leaked = env.step(HarborAction(action_type="read", path="link/grade.py"))
+ planted = env.step(
+ HarborAction(action_type="write", path="link/test.sh", content="exit 0")
+ )
+
+ assert not leaked.success and "escapes" in leaked.error
+ assert not planted.success and "escapes" in planted.error
+ assert not (tests_dir / "test.sh").exists()
+
+
+def test_legitimate_paths_survive_symlink_canonicalization(
+ env: HarborEnvironment,
+) -> None:
+ """The working directory itself often sits behind a link.
+
+ On macOS it is under `/var`, which is a symlink to `/private/var`; comparing
+ a resolved path against an unresolved base would reject everything.
+ """
+ env.reset(task_id=EXAMPLE_TASK_ID)
+
+ assert env.step(HarborAction(action_type="read", path="stats.py")).success
+ # A write may legitimately create directories that do not exist yet.
+ assert env.step(
+ HarborAction(action_type="write", path="pkg/mod/new.py", content="x = 1\n")
+ ).success
+ assert env.step(HarborAction(action_type="read", path="pkg/mod/new.py")).success
+
+
+def test_local_mode_flags_a_declared_image_it_is_not_providing(
+ env: HarborEnvironment,
+) -> None:
+ """A seed-file task is reproducible locally, but its toolchain may not be.
+
+ `fix-sum-bug` declares `docker_image = "python:3.12-slim"`; running it on
+ the host's Python is close enough to be useful and different enough to
+ mis-grade, so the mismatch is surfaced rather than left silent.
+ """
+ observation = env.reset(task_id=EXAMPLE_TASK_ID)
+
+ assert "python:3.12-slim" in observation.info["toolchain_warning"]
+ assert "HARBOR_MODE=docker" in observation.info["toolchain_warning"]