| # PR preparation validation — 2026-09-16 |
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| This records validation of the prepared sources separately from the historical learning curves. |
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| | Check | Evidence | |
| | --- | --- | |
| | HuggingEnvs CPU regression suite | 149 passed, 1 skipped; 24 subtests. Includes real CPU optimizer grouping, save/resume boundaries, capture budgets, task dispatch, HTTP controls, eval recovery and artifact provenance. | |
| | Portable archive | 10,606 packaged files hash-verified; source runtime matches the reviewed files; no configured credential values included. No external local experiments checkout required to build. | |
| | Frozen native grading | 1,250 task configurations verified; all 250 original first-graded baseline answers replayed with identical scores. | |
| | Local/Hub commands | CLI help, dry-run commands, Python compilation and fatal-error lint passed; generated project index checked. | |
| | OpenEnv | 2,393 CPU tests passed with unrelated QED service tests excluded; 107 additional upstream MCP integration tests and 65 Gradio/MCP/TBench tests passed after the current-main merge; 39 client/TiTO and 59 rollout/session regressions passed for the final fixes; 334 passed and 7 skipped for client cancellation/discovery/Harbor regressions after the last upstream merge. GitHub CI is green on Python 3.11/3.12. Harbor capture/UI checks include concurrent trace isolation, session budgets and browser layout. | |
| | TRL | 245 CPU tests passed, plus HTTP controls and pre-commit checks. Main is merged; all PR CI passed, including the distributed GPU smoke. | |
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| ## Current training qualification |
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| | Implementation | HF Job | Trainer bundle | State | |
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| | Harbor / OpenCode | [6aaa8a06f76d6a098a710a5e](https://huggingface.co/jobs/HuggingEnvs/6aaa8a06f76d6a098a710a5e) | v4 | **Passed**: four nonzero-gradient updates, exact-token retention, native optimizer state, remote restore, changed weights; [receipt](qualification/harbor-v4.json) | |
| | Native OpenCode | [6aaa7b875527934177ee9d15](https://huggingface.co/jobs/HuggingEnvs/6aaa7b875527934177ee9d15) | v3 | **Passed**: four nonzero-gradient updates, exact-token retention, native optimizer state, remote restore, changed weights; [receipt](qualification/opencode-v3.json) | |
| | SETA whitebox | [6aaa7f915527934177ee9da4](https://huggingface.co/jobs/HuggingEnvs/6aaa7f915527934177ee9da4) | v3 | **Passed**: four steps, exact-token audit, native optimizer state, remote restore, changed weights; [receipt](qualification/seta-v3.json) | |
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| - **v2**: SHA256 `8b02b40687414905830799a458bf253d3552f9a40860f9980c983fb4ededa45a`, Hub revision `0e59f18b0ddf0df0f46aa8925b4d8bb66aa95bb5`. |
| - **v3**: SHA256 `6527c25ae379ab10f055577c5b87374c9018df3c8d28bb983f84fbd1e7f6302e`. Hub revision `599efbda7c93056e9d0a6a2a3324d24ac1ba2f3f`. Uses OpenEnv `b13aeb9f8ecd4817e02d3a37c2a9ae15e41710e3` and TRL `8e87edb45eac7c52d749256379714fa40f0eb746`; 10,604 packaged files. Subsequent OpenEnv PR commits preserve verifier warning diagnostics, clarify timeout scope and merge upstream client cancellation/discovery fixes. The later TRL merge changes only a tiny Gemma2 test-model generator; runtime qualification remains tied to the explicit pins above. |
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| - **v4**: SHA256 `d24c3641bdda424259741e27d451430830df1c54e0a31245ac2c8ae6210a44da`, Hub revision `d7622b44f55c65387778327229543d36446e6597`; 10,606 packaged files. Model, OpenEnv/TRL pins, training code and settings match v3. It adds the shared transfer retry path and host baseline-cohort checks. |
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| Harbor and SETA use their existing separately pinned environments. Native OpenCode uses v3, deployed only after confirming no active Jobs used that Space; CPU Basic and sandbox capacity 100 are retained. The active SETA evaluation and Harbor-only Slurm trainer were not restarted. Every future long run still requires proofs matching its own exact bundle, environment and baseline; these receipts do not waive that gate for another bundle. |
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| The final v3 SETA smoke completed successfully. The earlier successful v2 [Job 6aaa77a65527934177ee9c34](https://huggingface.co/jobs/HuggingEnvs/6aaa77a65527934177ee9c34) and its [receipt](qualification/seta-v2.json) are retained independently. Both have two nonzero-gradient updates and four completed optimizer steps. |
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| The final host-launcher regression suite additionally verifies that native diagnostic and four-harness comparison baselines remain separate, that checkpoint curves receive a matching baseline at step 0, and that changed score files fail validation. These host-only admission/reporting changes do not alter the GPU trainer runtime used by the qualification bundle. |
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| ## Earlier qualification attempts |
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| The first trainer bundle was `ccfe97822cf7c88931acda8a4894bd7515e40a939ebfcc4c20c14db45e607de3`, uploaded to `HuggingEnvs/data-agent-daytona-repro` at revision `3808a6d5c48320b5e7745c877dc9b7ed2819310b`. Source pins are in [sources.json](../hf/configs/sources.json). The OpenEnv runtime pin includes the TiTO/UI changes; later OpenEnv PR commits update documentation, optional tests and merge newer upstream MCP behavior. |
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| These jobs qualify the new trainer against existing separately pinned Spaces. The first attempts did not restart or upgrade those Spaces; the later idle native OpenCode update is recorded above. A smoke proves four optimizer updates with a checkpoint-2 remote restore; it is not a new baseline or evidence of a reward gain. |
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| | Implementation | Job | GPUs | State | |
| | --- | --- | --- | --- | |
| | Harbor / OpenCode | [6aaa75bb5527934177ee9b8b](https://huggingface.co/jobs/HuggingEnvs/6aaa75bb5527934177ee9b8b) | A100 ×4 allocation; two used | Failed before optimizer startup: missing endpoint directory | |
| | Native OpenCode | [6aaa75bb5527934177ee9b8d](https://huggingface.co/jobs/HuggingEnvs/6aaa75bb5527934177ee9b8d) | A100 ×4 allocation; two used | Failed before optimizer startup: missing endpoint directory | |
| | SETA whitebox | [6aaa75bbf76d6a098a710867](https://huggingface.co/jobs/HuggingEnvs/6aaa75bbf76d6a098a710867) | H200 ×2 | Failed before optimizer startup: missing endpoint directory | |
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| The clean-Job failure is fixed by creating the endpoint/log parent directories in `serve/vllm.sh`. The failed cohort is preserved. A second cohort exposed a deployed-server API mismatch in both async arms; those two jobs were stopped before optimizer updates (`6aaa77a65527934177ee9c30`, `6aaa77a65527934177ee9c32`). The Harbor client now omits only default provider/eval arguments. Explicit settings are still sent. The idle native OpenCode Space was upgraded to accept and enforce sampling. Training submission now checks the remote tool schema before allocating a GPU Job. |
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| Completion requires `training_smoke_verified.json`: exact capture, retained supervision, native optimizer state, remote restoration and changed weights. Pending jobs are not counted as passed. |
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| The v3 Harbor Job later ended with an HF Xet upload `TimeoutError` after completing all four updates. Its final cleanup published both checkpoints. A separate audit reconciled 37/37 completed captures, all 19,880 eligible supervised tokens and 25 optimizer rollout receipts; this does **not** waive the failed integrated qualification. The [failure receipt](qualification/harbor-v3-upload-failure.json) is preserved. The shared publisher now retries transient transport/429/5xx errors up to three attempts, keeps ready markers last, and allows an hour for an already-active full-checkpoint upload during shutdown. Permission and validation errors remain fatal. Fault-injection and full CPU regression tests passed. The v4 Harbor rerun completed successfully, including both checkpoint publications. |
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| ## Preserved material |
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| Preparation uses separate Git worktrees. Original dirty worktrees, active services, source snapshots, raw captures and checkpoint files remain intact. Superseded local guides/build inputs moved into ignored `04-data-agent/temp/historical-notes/` and `temp/legacy-hf/`; replaced bundle outputs are archived in `temp/build-archive/`. Committed results contain compact scores, a static figure and a compressed full metrics/provenance snapshot. No raw task answers, credentials, model checkpoints or Trackio databases are committed. |
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