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| # Generator and verifier: technical notes | |
| This directory produces the Harbor tasks in `../tasks/` from a checkout of | |
| [openai/math](https://github.com/openai/math), builds the sandbox image they run in, and contains | |
| the verifier. The dataset card (`../README.md`) covers what the environment is and how to run it; | |
| this file covers how the tasks are generated and graded, the threat model, and the checks behind | |
| the validation. | |
| ## Layout | |
| ``` | |
| openai_math_harbor/ | |
| challenges.py reads the challenges, maps them to families, applies the hole policy | |
| import_graph.py import graph of the openai/math Lean library (reference-proof closures) | |
| oracle.py closure and packaging of the reference proofs | |
| reference.py places a reference proof as a submission (copied into each task's solution/) | |
| adapter.py writes tasks/, registry.json, manifest.parquet, the card and NOTICE | |
| snapshot.py builds the shared Daytona snapshot from image/ | |
| report.py turns a Harbor oracle job into per-task verdicts | |
| attacks.py adversarial submissions used to test the verifier | |
| templates/ instruction, verifier (tests/grade.py, test.sh), oracle (solve.sh), card | |
| image/ Dockerfile and setup scripts for the shared image (= every task's environment/) | |
| tests/ unit tests for the verifier's submission handling | |
| ``` | |
| ## Regenerating the tasks | |
| ```bash | |
| # A sparse checkout of openai/math at the pinned commit: | |
| git init openai-math && cd openai-math | |
| git remote add origin https://github.com/openai/math.git | |
| git sparse-checkout set --no-cone /lean/ComparatorChallenges/ /lean/docs/ /overview.tex /LICENSE | |
| git fetch --depth 1 --filter=blob:none origin adc7f1241b42e322a6451854ab7e4b4c146bf78a && git checkout FETCH_HEAD | |
| cd .. | |
| # Optional: the import graph, for reference-proof sizes and the oracle's file lists. Needs the full | |
| # lean/ directory (about 1.8 GB checked out). | |
| python -m openai_math_harbor.import_graph openai-math/lean graph.json | |
| python -m openai_math_harbor.adapter --openai-math openai-math --graph graph.json --out out/ | |
| # Stamp oracle verdicts into the tasks after an oracle run: | |
| python -m openai_math_harbor.report <harbor job dir> oracle_results.json | |
| python -m openai_math_harbor.adapter ... --oracle-results oracle_results.json | |
| ``` | |
| Every challenge goes through the same code; no task is written by hand. Three things are decided | |
| per challenge, all from the data: | |
| | What | Count | Handling | | |
| |---|---|---| | |
| | Definition holes | 9 configs | Comparator checks only the name and type of a `definition_names` entry, never its body, so a solution could redefine `ProperColoring := False` and prove the theorem trivially. A hole whose body is written out is removed from the config, so it must match exactly (8 configs). A hole whose body is `sorry` stays open only if its name appears nowhere else in the file (`ElementaryPositivity`, whose type is the claim). `DefocusingNLS` has a `sorry` inside a definition the theorems use and is excluded. | | |
| | Reference proofs needing other Lean libraries | 23 | PrimeNumberTheoremAnd, StrongPNT, RellichKondrachov and others. Every statement imports only Mathlib, so agents are unaffected; only those official proofs cannot be built in this image. | | |
| | Grading time | all | 3 h plus 15 min per MB of the reference proof, at most 6 h. | | |
| The 137 result families without Lean statements have no machine-checkable target and are not part | |
| of the dataset. | |
| ## How a trial runs | |
| ``` | |
| agent sandbox (snapshot) verifier sandbox (same snapshot, fresh) | |
| /workspace Lake project, Mathlib never runs agent code | |
| agent writes Submission.lean /tests: Challenge.lean, task.json, grade.py | |
| (+ Submission/**.lean) /logs/artifacts/submission.tar <- only input | |
| no network while the agent runs 1. accept regular Submission*.lean files only | |
| | 2. fresh Lake project, prebuilt read-only Mathlib | |
| collect hook: pack_submission.py 3. iptables: grader uid gets no sockets | |
| -> /logs/artifacts/submission.tar ----------> 4. Comparator as `grader`: landrun builds, statement | |
| (one plain file crosses) + axiom check, kernel replay | |
| 5. kill grader processes, delete the build, | |
| root writes reward.txt | |
| ``` | |
| Harbor's `[verifier] environment_mode = "separate"` (0.24+) provides the second sandbox. Both | |
| sandboxes start from one Daytona snapshot built from `image/Dockerfile`; every task carries the | |
| identical `environment/`, so the image is built once. Harbor's own Daytona auto-snapshot gives up | |
| after 10 minutes, which is less than the image build takes, hence `snapshot.py`. | |
| ## Threat model | |
| | Attempt | What stops it | Test | | |
| |---|---|---| | |
| | `sorry`, `admit`, a tactic macro that expands to `sorry` | `sorryAx` is not a permitted axiom | `sorry`, `sorry-macro` | | |
| | Declare `axiom cheat : False` | only `propext`, `Quot.sound`, `Classical.choice` allowed | `axiom` | | |
| | `implemented_by` + `native_decide` to prove `False` | `native_decide` introduces an axiom of its own | `native-decide-false` | | |
| | Same theorem name, weaker statement | the statement must equal the challenge's exactly | `weaken-statement` | | |
| | Redefine a definition the statement uses | every constant in the statement must match; openai/math's loose hole configs are tightened | `redefine-definition` | | |
| | Keep a structure's name and type but drop a proof obligation from its fields | Comparator also compares the structure's constructor, whose type lists the fields | `tamper-structure` | | |
| | Re-export the trusted Challenge module | its theorems are `sorry` | `import-challenge` | | |
| | Plant `reward.txt` or a fake `comparator` in the agent sandbox | grading runs in a separate fresh sandbox | `agent-side-reward` | | |
| | Lean code run while the verifier builds the proof (`run_cmd`, `#eval`, macros) writes `reward.txt`, runs a shell or opens a connection | landrun (read-only file system except `.lake`, execution limited to Lean and git, TCP denied), unprivileged `grader` user, iptables owner rule; root writes the reward only after killing every grader process | `compile-time-reward` | | |
| | Exhaust the verifier's disk or memory so grading cannot finish | Lake by-products are emptied as the build runs; the build is deleted before the verdict is written, so a full disk still yields reward 0; memory and time are bounded (8 GB, `grade_timeout_sec`) and a killed build scores 0 | `fill-disk` | | |
| | Symlinks, path traversal, device files, hard links, huge archives | the collect hook packs only regular files; `grade.py` accepts only regular `Submission.lean` and `Submission/**.lean` whose path components are Lean identifiers | `symlink`, `tests/test_grade_unpack.py` | | |
| | Read OpenAI's proof | not in the image; the agent phase has no network | network probe (below) | | |
| | A background process in the agent sandbox interfering with grading | Harbor stops the agent sandbox before the verifier starts and empties the verifier's log directory first; on Daytona the two sandboxes share no files | by construction | | |
| | A Lean kernel soundness bug | not covered (Comparator's second kernel, nanoda, is off) | none | | |
| | Memorized public proofs | not covered | none | | |
| Grading fails closed: a rejected or non-compiling submission scores 0. If the trusted side breaks | |
| (the Challenge fails to build, or times out before the submission is reached, or the network block | |
| cannot be installed), no reward is written and Harbor reports the trial as an error rather than 0. | |
| **What each isolation layer was shown to do** on Daytona's kernel (Linux 6.17): under landrun, the | |
| grader's build cannot write outside the build directory and gets `EACCES` on TCP connects. Without | |
| landrun, the grader user *can* reach Daytona's in-sandbox control service on port 2280, so | |
| `grade.py` also installs an iptables rule for that user before Comparator runs and refuses to grade | |
| if the rule does not take effect. | |
| **Trusted, not re-checked here:** the Lean kernel, Comparator's export parser and `lean4export` (a | |
| crafted `.olean` written at build time is only accepted if the kernel replay accepts it), landrun, | |
| and Daytona's sandbox boundary. | |
| ## Checks behind the validation | |
| All through `harbor run` on Daytona with the separate verifier; none involves a language model. | |
| | Check | Expected | Result | | |
| |---|---|---| | |
| | Oracle over every task (official proofs) | 1 where the proof fits the image | see the dataset card and each task's `oracle_result` | | |
| | All 405 statements built in one sandbox (`lake build`, 3 threads) | compile | 405 of 405; median 5 s, 90th percentile 7 s, slowest 220 s | | |
| | No-op agent | 0 | 0, "no submission" | | |
| | 12 adversarial submissions (`attacks.py`) | 0 | 0 on all twelve, each rejected for the intended reason (`fill-disk` on Oct 9 with the final grader: "ran out of disk space" after 85 s); the build-time probe printed `write denied`, and neither a shell nor git's HTTP helper could be executed | | |
| | Agent-phase view (oracle agent printing its environment) | no network | DNS fails, HTTPS to github.com times out, a direct-IP connection is refused; `LEAN_NUM_THREADS=3` is set; `/tests` is absent | | |
| | Oracle with `--allow-agent-host github.com` | 1 | 1 (positive control for the network check) | | |
| | landrun and iptables in a Daytona sandbox | both enforce | as described above | | |
| ## The image | |
| `image/lean_setup.sh` installs Lean v4.34.1 and Mathlib at the commits openai/math pins, builds | |
| Comparator (`leanprover/comparator@d03acab`) and lean4export with the same toolchain, builds landrun, | |
| copies every challenge statement to `/opt/openai-math/challenges/`, and prepares `/workspace`. Three | |
| details matter: | |
| - **Size.** Lean plus Mathlib is about 11 GB as installed, more than a 10 GB Daytona sandbox. The | |
| script drops what importing Mathlib never reads: static libraries, LLVM and gcc (needed only to link | |
| the executables built earlier in the script), and Mathlib's generated C and `.ilean` files, | |
| truncated with their `.hash` files kept so Lake still treats Mathlib as built. A smoke test fails | |
| the build if a second `lake build` still compiles any dependency. | |
| - **Threads.** Lean sees every host CPU (64 on Daytona), not the sandbox's 4, so by default Lake | |
| starts one Mathlib-loaded `lean` per module and runs out of memory. Agents get | |
| `LEAN_NUM_THREADS=3` (`task.toml`); the verifier uses 2, which reaches Comparator's landrun | |
| sandbox through a one-line `sed` patch to Comparator's `envPass` lists. | |
| - **Permissions.** Mathlib's cache tool unpacks files as mode 0600. The script makes the toolchain | |
| and packages world-readable (still root-owned), and a second smoke test builds as the `grader` user. | |
| ## Limits | |
| - **Daytona's per-sandbox caps: 4 CPUs, 8 GB memory, 10 GB disk.** The 10 GB is working space on | |
| top of the image. Lake compiles every module to C as well as to `.olean`; grading never reads the | |
| C, but for the largest proofs it reached 9.4 GB and filled the disk. `grade.py` therefore empties | |
| the generated `.c` files every 15 seconds while the build runs (as the `grader` user; Lake keeps | |
| the recorded hash and does not rebuild), and deletes the build before writing its verdict, so a | |
| build that still fills the disk scores 0 instead of leaving Harbor waiting for a verifier that | |
| can no longer report. Some proofs still need more than 8 GB of memory or 6 hours; the oracle | |
| results record which. Higher per-sandbox limits remove the constraint. | |
| - **The agent sandbox contains Comparator,** since agent and verifier share one image. Nothing in it | |
| is secret: the statement and the rules are public, and `lake build` plus `#print axioms` already | |
| tell an agent whether a proof is complete. | |
| - **Difficulty.** These are open research problems; expect a reward of 0 on almost every task. | |
| ## Licensing | |
| The statements are redistributed unchanged from openai/math (OpenAI, Apache-2.0); the dataset root | |
| carries `LICENSE-openai-math` and a `NOTICE` describing what was copied, what was adapted (the | |
| Comparator configs) and what is not included (the proofs). The image bundles Lean, Mathlib, | |
| Comparator and lean4export (Apache-2.0) and landrun (MIT). This code is under the Apache License 2.0. | |