# Standalone model smoke passed — 2026-09-15 18:01 UTC The deployed **original standalone OpenCode** environment completed four real Qwen3.5-2B rollouts:2/2Daytona and2/2HF, all graded with TiTO passing and zero ungraded attempts. Daytona correctness was0/2; HF2/2. These tiny smoke samples validate execution, not comparative accuracy. The Job has advanced to fresh full250-task pass@1 cohorts on each backend. HF Job `6aa985baf76d6a098a70e01a` remains RUNNING. Bundle02781ae matches the native Space. Captured sampling overrides are empty, so the pinned vLLM generation defaults apply; captured masks and engine tokens/logprobs passed validation. SETA Whitebox remains **complete at47/250=18.8% pass@1**, with33easy/118medium/99hard tasks and TiTO passed. No repeat is required. New HF training launches remain held pending the standalone full baseline and optimizer/save/resume qualification. All three correctly named Spaces are RUNNING on CPU Upgrade. --- # Standalone OpenCode correction — 2026-09-15 17:48 UTC The user explicitly requested retaining the deployed Harbor implementation as **Blackbox Harbor** and adding the separate **Blackbox OpenCode** implementation from `envs/blackbox-opencode` (`data_agent_env`). The Space repository move completed: `HuggingEnvs/data-agent-opencode-blackbox-env` → `HuggingEnvs/data-agent-blackbox-harbor-env`. SETA Whitebox remains. The new standalone target is `HuggingEnvs/data-agent-blackbox-opencode-env`; deployment and native GPU rollout validation are in progress. Historical arm key `blackbox` still means Harbor. No historical Harbor scores are relabelled standalone. Standalone changes: direct Daytona SDK adapter alongside existing HF/E2B backends; authenticated per-rollout inference; exact loss-mask preservation; OpenCode pin1.18.31; transient staging credentials; frozen manifest-backed task discovery (1,000 train/250 test). Both real backend protocol smokes passed and their sandboxes were deleted. Four regression tests passed, including partial masks and the fixed test distribution33easy/118medium/99hard. Baseline plan: Qwen3.5-2B,250fixed test tasks, native OpenCode pass@1, separate Daytona/HF ledgers; two real rollouts per backend gate the full baseline. Pass@1 counts correctness≥1.0; shaped training reward is recorded separately. Training launches remain held. The fresh **SETA Whitebox baseline completed** on HF Job `6aa97763f76d6a098a70de94`: **47/250=18.8% pass@1**, TiTO passed. Difficulty: easy14/33=42.42%, medium27/118=22.88%, hard6/99=6.06%. One ungraded infrastructure attempt was retried; all250first-graded cells are preserved.53-concurrency stage throughput was6.76–9.19graded tasks/minute. Harbor HF Job `6aa97eab5527934177ee5ba8` ended ERROR at its32-concurrency coverage gate, with36/40attempted cells graded and4ungraded. This is **not a completed baseline**. No comparison Jobs or sandbox admission slots were active before the rename. Its historical artifacts remain available under `eval-blackbox-1789492907`. The original multi-harness Slurm trainer79083 and checkpoint500eval80332 continue independently. --- # OpenEnv × Harbor × AsyncGRPO — what was built, 8–14 Sep 2026 One line: **make an agent harness trainable with AsyncGRPO, prove it, then make it scale.** The work spans four repos. Two of them ship upstream (`trl`, `OpenEnv`); two do not (`HuggingEnvs`, and this wrapper's `experiments/`). This file is the index. --- ## 1. The objective, restated RL on an *agent harness* (opencode, mini-swe-agent, claude-code …) is different from RL on a prompt. The harness owns its own loop, so the trainer never sees a clean prompt→completion pair — it sees a conversation the agent drove, through a proxy. Three things had to be true: 1. **Train on the tokens the model actually saw.** Re-rendering the prompt with a chat template is off by a token or two at the generation boundary and collapses the run at its first update. 2. **The environment must be a real, servable OpenEnv environment**, not a bespoke script — so the dataset tree and sandbox templates are hosted once and any trainer can point at them. 3. **It has to scale** past a single sequential rollout loop. All three now hold. What is *not* settled is whether this recipe reliably improves a 2B on this task set — see §6. --- ## 2. Repo map | repo | branch | role | upstream PR | | --- | --- | --- | --- | | `trl/` | `pr6947-work` | AsyncGRPO trainer: token-ids contract, `HarnessRolloutWorker` | **[#6947](https://github.com/huggingface/trl/pull/6947)** APPROVED, mergeable, +802/−37, 5 files | | | | remove the superseded in-TRL Harbor integration | **[#6948](https://github.com/huggingface/trl/pull/6948)** changes-requested, +65/−1585 | | `OpenEnv/` | `local-integration` | `harbor_env`: Harbor suites as a servable OpenEnv env + capture proxy | **[#1036](https://github.com/huggingface/OpenEnv/pull/1036)** OPEN, mergeable, +23807/−11, 89 files, 88 commits | | `HuggingEnvs/` | `04-data-agent` | the environments and training scripts (not upstream) | — | | wrapper | `main` | `experiments/` — everything that produced the above | — | Merged earlier, for context: OpenEnv [#603](https://github.com/huggingface/OpenEnv/pull/603) / [#656](https://github.com/huggingface/OpenEnv/pull/656) (opencode harness), [#1094](https://github.com/huggingface/OpenEnv/pull/1094) (Task API docs), TRL [#6018](https://github.com/huggingface/trl/pull/6018) (the experimental Harbor integration #6948 now removes). --- ## 3. Timeline ### 8 Sep — reproduce, then find the floor `experiments/temp_asyncgrpo_code/` — start here; this is where the session's file edits began. - `be9eb5e` reproduce the reference opencode AsyncGRPO run, routed through our capture proxy. - `414acdd` the three things Qwen3.5-4B needed to reach a *trainable* trace. - `f729c89` **a liveness check killed a healthy 14-step run at 302 s.** First instance of the watchdog lesson that recurs all week. - `9dc2dfa` corrected my own reading of `groups_per_step` — it counts NEW groups, not complete ones. ### 9 Sep — the collapse, and the contract - `91da0c2` the stall is context-window exhaustion at `max_model_len=40960`; **the probe I wrote to test it killed the run that proved it.** - `f6fff67`/`c04bc0d` root cause: one rollout's exception kills the worker, then shutdown deadlocks on the dead child. - `e5c58e5` **POLICY COLLAPSE** — my agent cap of 40 sat *above* the reward's step budget of 30, so the policy learned to stop using tools. The first version of the trapdoor that shows up again on 14 Sep. - `24c873b` the HuggingEnvs data-agent environment, contract read off the Harbor spec. - OpenEnv `b6eaa723` harness owns the loop-owning contract and serves `TraceEntry` over HTTP. ### 10 Sep — 63 wrapper commits; the bugs that produce confident wrong numbers - `a037932` **train on the tokens the model actually saw** — carry the engine's prompt ids to TRL. This is the change that becomes TRL #6947. - `048ab6b` lr 1e-5 destroyed a working policy in four updates → 1e-6 + 4× accumulation. - `5f54171`/`7897b2e` forcing a tool call on the nudge turn took filing **11.7% → 86.0%**; the Qwen3 family was never incapable. - `1beface` `setdefault` loses to an explicit kwarg — **checkpointing never turned on**, so early runs saved no weights and nothing could be evaluated (`a4ec02d` fixes and builds the eval). - `cbd50bc` **gradio handed the same tunnel URL to three jobs at once** → verify tunnel *identity*, not liveness. - `f47d22e` replication weakens the headline: 1 of 3 runs of the same config "rises". - `e2889ad` the agent step cap was imaginary — opencode ignores `agent.build.steps`; enforce it in capture instead. ### 11 Sep — does it actually learn? - `e6658ae` base vs trained on held-out tasks: **no measurable improvement**. - `1410af5` staleness sweep buys throughput, not per-step learning. - `4998577` **500 steps DOES improve the model on held-out tasks: +0.087 pass@1, p=0.016.** ### 12 Sep — split across three repos, and the reference run - Wrapper `c1d47c3` carry HuggingEnvs as a submodule; split the token-ids work across three repos. - TRL `8775780d` **async_grpo: train on the engine's own token ids, never a re-rendered prompt.** - OpenEnv `b63f56a4` run the capture proxy in-process from anywhere, and **bound a rollout's model calls** (`max_model_calls` — see §6, it is still not wired through the harbor path). - HuggingEnvs: the two black-box environments, port derivation per job, dtype matching, and `778f8aa` *"the three defaults that would have killed the 400-step run"*. - **Run 76585** — the validated arm: **+0.2343 pass@k, CI [+0.178, +0.291], p=0.0.** ### 13 Sep — scale This is the day's plan (`.claude/plans/eager-discovering-tome.md`), executed in order. - **The 40-ceiling.** `run_rollout` was a *sync* FastMCP tool → `anyio.to_thread.run_sync` with no limiter → default `CapacityLimiter(40)`, held for the whole rollout. `MAX_CONCURRENT_ENVS=400` was never reachable, and because the clock started *inside* the tool body, queue time never appeared in `wall_s`. Proven with a zero-cost hermetic probe, not a 250-task sweep (`experiments/openenv_x_harbor_learnings/tools/ceiling40.py`). → **OpenEnv `a7634ce5`: make `run_rollout` async.** Measured 40 → 400 concurrent. - **The grader crash.** One suite emitted `tool_efficiency: null`; Harbor's `dict[str, float|int]` rejected the *whole* dict, taking `correctness` with it — **86 of 250 tasks silently unscored** while the run reported clean numbers. → **OpenEnv `781bfc9a`: coerce rewards per key.** Plus a published dataset revision `291c8e50` removing `tool_efficiency` from all 250 graders. - `experiments/async_grpo_harbor_data_agent/tools/eval_concurrent.py` — asyncio driver, four nested semaphores (global → server → sandbox → provider), pooled clients, crash-safe JSONL. - `experiments/openenv_x_harbor_learnings/` — 9 docs + 4 hermetic repros. - HuggingEnvs `ff7b452` train the same task set through OpenEnv × Harbor (`train_harbor_opencode.py`, `multi_harness.py`, two launchers). - TRL `9c4c8fa9` address review on #6947. ### 14 Sep — the efficiency reward, and the run that tested it - **Run 77284** (Qwen3.5-2B, opencode, Harbor, pure correctness) ran 119 steps and was stopped manually. Two problems in its data: - tool calls drifted **13.1 → 43.0** (final fifth **41.3**), and packed rows grow with the *square* of turn count — `row_tokens_max` reached 40,598 of a 40,960 budget; - **19 of 118 steps had `reward_std == 0`, and all nineteen were groups where every generation SOLVED the task** — 8 sandboxes each, zero gradient, 16% of the run. - `HuggingEnvs/04-data-agent/train/harbor_reward.py` — the fix: ``` reward = correctness × (1 + W_EFF × TOOL_BUDGET/(TOOL_BUDGET + tool_calls)) W_EFF = 0.3 TOOL_BUDGET = 15 ``` **Multiplicative, not additive-with-a-gate.** Added, zero tool calls scores maximum efficiency, so inaction beats a failed attempt (0.300 vs 0.030) — jobs 72452/72473 wedged exactly that way, spending 4,076 sandboxes on 11 productive groups. Multiplying removes it structurally: reward is monotone non-decreasing in both arguments. **Reciprocal, not `clip(1 − n/B)`** — measured over 77284, calls ran p10 8.4 → max 125.5, where the linear clamp is zero above the *median*. - **TRL `3cb8efdd`** — `rollout_reward_fn` replaces `env_reward` wholesale and the column is already named `rewards/harness_reward`, so with shaping on, raw correctness was logged **nowhere**. Recomputed over 77284's own data the shaped number sits **+0.132** above correctness, so every shaping term would have looked exactly like progress. Added `rollout/correctness_mean`. - **Run 77401** — 201 steps, 7 h 57 m, stopped on request. Results in §5. --- ## 4. Where the files are ``` trl/trl/experimental/async_grpo/ openenv_harness.py HarnessRolloutWorker, TITO contract, rollout_reward_fn async_rollout_worker.py scoring, _rates metrics channel OpenEnv/src/openenv/harbor/ environment.py async run_rollout (the 40-ceiling fix) rollout.py per-key reward coercion serving.py env server + capture proxy, two ports / one mount HuggingEnvs/04-data-agent/ train/harbor_reward.py the gated efficiency reward train/train_harbor_opencode.py OpenEnv × Harbor trainer (--reward efficiency|correctness) train/multi_harness.py MultiHarborSessionFactory, seed-routed train/launch_harbor_opencode.slurm / launch_harbor_multi.slurm train/train_blackbox_opencode.py the reference arm (run 76585) envs/{blackbox-opencode,blackbox-harbor,whitebox-bash}/ experiments/ temp_asyncgrpo_code/ where this started; 18 diagnosis docs openenv_x_harbor_learnings/ 9 docs + 4 hermetic repros async_grpo_harbor_data_agent/ eval_concurrent.py, watch_train.py, TITO tools, gates ``` --- ## 5. Runs that matter | job | config | outcome | | --- | --- | --- | | **76585** | blackbox opencode, Qwen3.5-2B, 400 completed steps (verified checkpoint/trainer state) | **+0.2343 pass@k, CI [+0.178, +0.291], p=0.0** — the validated arm | | — | held-out eval, 500 steps | **+0.087 pass@1, p=0.016** | | **77284** | OpenEnv×Harbor, opencode, 2B, **pure correctness** | 119 steps, stopped manually. Tool calls **13.1 → 41.3**. **19/118 dead steps, all all-SOLVED** | | **77401** | same, **+ gated efficiency reward** | 201 steps, 7 h 57 m, stopped on request. See below | ### 77401 vs 77284 — what the reward changed | | 77401 | 77284 | | --- | --- | --- | | tool calls per rollout, by fifth | 7.7 · 8.2 · 8.8 · 8.5 · **7.0** | 13.1 · 12.4 · 11.9 · 28.8 · **41.3** | | trend (Spearman + permutation) | rho +0.154, **p=0.13 — flat** | rho +0.548, **p<0.0001 — rising** | | all-solved groups carrying gradient | **17 / 17** | 0 / 19 | | dead steps | 17/198 = 9%, **all all-FAILED** | 19/118 = 16%, **all all-SOLVED** | | correctness by quarter | 0.342 · 0.551 · 0.581 · 0.377 | — | **Three results, in descending confidence:** 1. **All-solved groups now teach something — 17 of 17.** Pure within-run, no confound. 2. **The tool-call escalation is prevented.** The baseline's climb is significant; ours is absent. Note the honest form: ours is *flat*, not declining. 3. **Correctness is unresolved.** It rose, peaked near step 142, and returned to its starting level. Without a held-out eval and with tasks in fixed order, difficulty and policy cannot be separated. **Cost side:** 978 failed rollouts, 435 agent timeouts, **237 template 404s** (77284 had **zero**), 291 dropped as unscorable. Yield was 5.3 samples/step against the baseline's 8.3. Checkpoints preserved, both fully resumable (model + optimizer + rng + scheduler, 11 GB each): `HuggingEnvs/04-data-agent/envs/blackbox-opencode/logs/job-77401/run/checkpoint-{100,200}` --- ## 6. Open work | # | item | why | | --- | --- | --- | | **28** | wire `max_model_calls` through the harbor path (`OpenEnv/src/openenv/harbor/rollout.py`) | Only harness-agnostic step limit — 1 of 29 seams honours `agent_step_limit`. Bounds the packed row (77401 hit 40,960 **exactly**) *and* cuts the 600 s timeouts, which were 66% of recent failures. Also an open HIGH review comment on #1036. | | **—** | serial template pre-warming before parallel dispatch | 237 × `404 tag 'default'` across 132 templates; the baseline had zero. Thins groups, which is most of why dead steps ran 4× higher in 77401's back half. | | **31** | multi-harness training on TRAIN-4 (`mini-swe-agent`, `opencode`, `pi`, `codex`) | Blocked on #28. Script exists (`multi_harness.py`); harness must stay constant within a GRPO group. | | **—** | a held-out paired eval on 77401's checkpoints | The only way to settle §5 result 3. | ### Unpushed, as of writing ``` HuggingEnvs 78c64e7 the gated efficiency reward 37a9283 expose $REWARD on the launcher trl 3cb8efdd keep the verifier's score visible under rollout_reward_fn (touches #6947's file) wrapper 826cc9c watch_train: track correctness and call_frequency ``` --- ## 7. Lessons that cost real time Each of these produced confident, well-formatted, **wrong** output while it was live. - **Never infer a service is dead from a signal that also goes quiet when it is busy.** A `/health` watchdog SIGKILLed a live harbor server 11 times in one night. Lengthening the timeout was v2 and destroyed another pass. Detect a running pass by *process existence*. - **A reward of `None` is not a zero.** 86 of 250 tasks dropped from scoring while the run reported clean numbers over a third of the data. - **Report which items were measured, not how many.** On an easy→hard suite "140/250" is an easy-prefix score. - **Two clocks.** Rollout-clock metrics (`correctness_mean`, `turns_mean`) and batch-clock metrics (`reward`, `call_frequency`) describe different populations under async generation. Comparing them per-step produces arithmetic that looks impossible. Cost me two retracted claims on 14 Sep. - **Quartile deltas on a shifting window read noise as direction.** The tool-call "decline" flipped sign twice before a permutation test said *flat*. - **A checkpoint directory that exists is not a checkpoint that finished.** Check twice, 20 s apart. - **Editing a running bash script corrupts it** — bash reads incrementally. Write a new file. - **`pkill -f` / `pgrep -f` match your own command line.** Killed this session's shell six times. - **Verify a checker before trusting it.** A drift "trend" of +466/step was one outlier of 100,066 in a series that was otherwise exactly zero. --- ## 8. 14 Sep — four-harness TiTO baseline completed locally The selected training harnesses are now **OpenCode, Claude Code, Codex and mini-swe-agent**, using Qwen3.5-2B. The long training run and periodic checkpoint evaluations have not been launched. All changes remain local; nothing was pushed. **Baseline job 78215 completed at 19:59:21 UTC in 1:05:31.** It served the pinned base Qwen3.5-2B with TP=1/DP=2 on two H100s, behind one vLLM endpoint, at evaluation concurrency 100. The true fixed test set has 250 tasks: 33 easy, 118 medium, 99 hard. All 1,000 task–harness cells were graded, and all 1,000 selected captures passed exact-context, token-ID, behavior-logprob and loss-mask retention through TRL's real sequence builder. Cleanup job 78216 completed; zero owned sandboxes remain. | Harness | Correct / 250 | Pass@1 | Sequences per rollout | Rollouts with a sequence >65,536 | | --- | ---: | ---: | ---: | ---: | | OpenCode | 27 | 10.8% | 1.22 | 25 | | Claude Code | 42 | 16.8% | 12.90 | 56 | | Codex | 41 | 16.4% | 1.12 | 0 | | mini-swe-agent | 36 | 14.4% | 1.25 | 1 | **Mean pass@1: 14.6%.** Every harness is measured on the same 250 tasks. The final audit retained all 2,721,986 eligible supervised tokens with their original causal contexts and logprobs. No captured sequence exceeded the evaluation context budget of 131,072 tokens. Pooled across the four harnesses, difficulty scores were **easy 53/132 (40.2%)**, **medium 68/472 (14.4%)**, and **hard 25/396 (6.3%)**. These use the test task mix of 13.2% easy, 47.2% medium and 39.6% hard; the overall 14.6% is task-weighted. The successful job reused 88 first completed measurements from interrupted job 78193, including 58 recoverable reward-key selection failures; the original native verifier results were checked and all 88 passed TiTO. It generated the remaining 912 cells. Its first C=100 pass took 50.88 minutes at 17.92 attempts/minute, including ramp-up and slow final tasks; retries took another eight minutes. This is not a measurement of 1,000 fresh rollouts in 65 minutes. Provisionally budget 60–75 minutes for a fresh run, and measure again. Ten relay/API errors in job 78215 needed retries. One additional false rejection was Claude Code index 244 ending at the context budget after one captured call. Its native verifier zero and all 127 sampled tokens were preserved; only its incorrect diagnostic/status fields changed in a separate derived capture. An already-started retry also returned zero and is excluded by first-result selection. No wrong answer was replaced by a later correct answer. Local fixes and checks: - Select `correctness,reward` from the same native verifier output, without rerunning an agent to discover its reward key. - Drain both Gradio tunnel subprocess pipes, with deterministic regression coverage for the real pipe-blocking failure, and clean up the owned tunnel child. - Use a recorded, non-training budget-stop response for known engine context-limit errors. A recorded budget stop now explains a one-turn capture; empty captures and unexplained single-turn stops retain their existing rejection checks. - The eval CLI tests, focused rollout/forwarder checks, and final 103-test budget/export/capture regression suite pass. Full real TiTO audit: 1,000/1,000. - The actual E2B shared template provides 1 CPU and 4 GiB per sandbox. No OpenEnv capacity rejection or vLLM KV-cache preemption was observed. Mean inference queue time was 0.214 seconds. - Synthetic tunnel tests passed 400/400 delayed replies through 40 seconds, but 75/125-second delays before response bytes failed 200/200 near 60 seconds. Five-second SSE comment heartbeats carried 100/100 streams for 125 seconds. Heartbeats are not yet implemented in the production capture proxy, and are not proven to fix the separate observed 404s. **Training remains the next step, with concrete admission/packing work first.** Claude Code's 12.9 sequences per rollout repeat prompt context and cost compute; they do not automatically multiply gradient weight by 12.9. TRL normalizes masked supervised-token losses per microbatch. The earlier small run's stale and oversized row drops still require whole-rollout consumption and variable-batch normalization checks. Either prove that training can consume 131,072-token sequences, or explicitly align training generation and packing at 65,536 with a recorded budget stop. Never truncate already captured context. Keep baseline/checkpoint eval context unchanged. The proposed training pool is 1,000 tasks (288 easy, 571 medium, 141 hard), selected after excluding test source IDs, shared notebooks and duplicate instructions. Start with 32 easy tasks, then shuffle the remaining 968. Retain LR=3e-6 and training in-flight 4 initially. Explicit task–harness routing and the independent 50-step checkpoint-eval scheduler still need implementation and validation. For the next eval throughput experiment, benchmark 150 against 100 on a fixed subset. Raising all three admission limits to 150 also needs OpenEnv capacity above 150 (currently 128; 192 is a candidate). Spare KV capacity does not prove spare GPU compute. Also measure preinstalled, pinned harnesses: setup averaged 84 seconds for OpenCode, 72 for Claude Code, 76 for Codex, and 26 for mini-swe-agent. The observed versions were respectively 1.18.31, 2.1.270, 0.154.0 and 2.4.6 across all 250 selected trials per harness. Evidence and the current plan: - [Completed baseline report](/fsx/adithyaskolavi/projects/trl_prod/experiments/async_grpo_harbor_data_agent/logs/multi4-baseline-20260914/job-78215/BASELINE_REPORT.md) - [Canonical scores and selected captures](/fsx/adithyaskolavi/projects/trl_prod/experiments/async_grpo_harbor_data_agent/logs/multi4-baseline-20260914/job-78215/canonical_results.json) - [Full TiTO audit](/fsx/adithyaskolavi/projects/trl_prod/experiments/async_grpo_harbor_data_agent/logs/multi4-baseline-20260914/job-78215/final_tito.json) - [Baseline and long-training plan](/fsx/adithyaskolavi/projects/trl_prod/experiments/async_grpo_harbor_data_agent/configs/multi4_baseline_and_training_plan.md) ## 2026-09-14 — baseline recorded; harder training pool and checkpoint setup Recorded the completed **1,000-evaluation pass@1** baseline in `HuggingEnvs/04-data-agent/eval/BASELINE_PASS_AT_1.md` and `baseline_protocol.json`. Scores are unchanged: OpenCode 10.8%, Claude Code 16.8%, Codex 16.4%, mini-swe-agent 14.4%; mean 14.6%. All 1,000 selected captures pass the exact-context TiTO audit. The user requested fewer easy tasks. The current frozen pool is **150 easy / 600 medium / 250 hard**, superseding the earlier incidental 288/571/141 proposal. Preserve the first 32 easy tasks and shuffle the remaining 968 with seed 0. Actual source/notebook/question/instruction test overlap and training instruction duplicates are all zero. Fixed test composition remains 33/118/99. Diagnostic 78282 was stopped before optimizer updates: cached training graders emitted unavailable `tool_efficiency: null`, which Harbor rejects. Cleanup 78283 completed with zero owned sandboxes left. The prepared copies now reuse the baseline verifier; grading-function AST checks preserve correctness semantics. Replacement diagnostic **78291**, cleanup/audit **78292**, was submitted from a frozen source snapshot with five clean tasks and all four harnesses. Its real-row and 131,072-token H100 memory probe passed (46.66 GiB peak reserved / 79.18 GiB). This extends the capacity evidence beyond the earlier 65,536-token check. Implemented explicit Cartesian task/harness scheduling, baseline harness version pins through Harbor's existing installer support, completed-checkpoint markers, verified eval staging and a Slurm checkpoint watcher. The prepared large run is Qwen3.5-2B, LR=3e-6, G=4, in-flight four, 131k context/packing, 24-hour allocation, and checkpoints every 50 optimizer steps. Each checkpoint queues the fixed 250×4 pass@1 evaluation on separate TP1/DP2 GPUs at concurrency 100. No large training job or checkpoint eval GPU job has been submitted. The CPU staging validation used old checkpoint 78170 only to test file integrity and serving metadata; it is not used for initialization or learning claims. TRL issue #7206 (accumulation normalization and complete-rollout admission) is not implemented locally. The diagnostic retains those known semantics; capture correctness is distinct from complete optimizer consumption. Current setup: `HuggingEnvs/04-data-agent/train/TRAINING_SETUP.md`. Frozen large pool: `experiments/async_grpo_harbor_data_agent/logs/multi4-long-balanced-20260914/`. Diagnostic: `experiments/async_grpo_harbor_data_agent/logs/multi4-diagnostic-v2-20260914/`. Initial replacement-diagnostic check: three optimizer updates with finite nonzero gradients; 16/16 captures (four per harness on the first task) pass TiTO, with 9,655/9,655 eligible tokens retained and zero oversized rows. Five-task coverage and the final afterany audit are still in progress. ## 2026-09-14 — Freeze one-harness-per-task training and independent 100-step evals User selected one harness per task per pass. Prepared `multi4-long-rotation-20260914` from the clean 150/600/250 pool. Each pass has 1,000 unique tasks, 250 groups per harness and four generations per group (4,000 rollouts). First pass starts with 32 easy tasks; later passes rotate task/harness assignments and shuffle all tasks. The four-pass cycle covers all 4,000 pairs once. No long training job submitted. Checkpoint saves remain every 50 optimizer steps with unlimited retention; automatic evaluation moves to steps 100, 200, ... only. The save callback publishes a small validated handoff; the CPU watcher hashes/stages weights, queues one separate TP1/DP2 two-H100 eval at a time, and excludes the training node. Every eval has its own OpenEnv server/proxy and uses the fixed 250x4 pass@1 baseline protocol at concurrency 100. FSx and the E2B account remain shared. Prepared CPU monitoring: every two minutes during startup, then every 15 minutes after stable progress, with local status/history/alerts and recurring capture audits. Codex chat scheduling is unavailable in this session; no chat wakeup automation was created. Submission plans include training, afterany cleanup, eval watcher and monitor; all are dry-run plans. Sources, task hashes, rotation, CLI and effective launcher configuration passed preflight. 28 focused tests passed. Diagnostic 78291 reached step 20 with 14/20 stable pairs and 12 nonzero-gradient updates. Capture replay passed 68/68, retaining 80,987/80,987 tokens and zero oversized rows. Three stale rows were dropped at step 17: the existing TRL admission limitation is observed, and complete optimizer consumption is unproven. Checkpoint-serving smoke 78432 (cleanup 78433) uses its clean checkpoint 10 on a different node, eight fixed test cells. This is a serving test, not a full pass@1 measurement. Final smoke/diagnostic results are recorded separately when complete. Checkpoint-serving smoke **78432** and cleanup **78433** completed successfully: eight graded cells, all eight TiTO-valid, 28,212/28,212 tokens retained, baseline harness versions confirmed in native trial results, zero owned sandboxes left. Training continued on a different node. User confirmed E2B quota **600**, covering the intended 100 eval + four training rollouts. No full checkpoint eval or long training job has been submitted. At diagnostic step 29, stable pair coverage is 18/20 with 14 nonzero-gradient updates and no oversize drops. The stale counter is **31 rows across two updates** (3 at step 17, 28 at step 29), not three updates; final diagnostic audit pending. Diagnostic **78291** and cleanup/audit **78292** finished: 30 optimizer steps, 20/20 stable pairs, 80/80 planned rollouts TiTO-valid. Including prefetch, 90 completed results passed with 119,718/119,718 tokens retained; three calls ended without a result at shutdown (closed-connection logs after Run finished). The raw audit preserves those incomplete attempts. No oversized rows; 31 stale rows dropped; 14 nonzero-gradient updates; final model saved; no owned sandboxes left. `FINAL_REVIEW.json` separates completed token audits from incomplete attempts. The long-run monitor now makes the same distinction and reports cumulative drop counters. Prepared configuration still uses GAS=4 and staleness=8; this is not a fix for TRL issue #7206. ## 2026-09-14 — Increase prepared training concurrency to eight User requested eight parallel rollouts. Updated `multi4-long-rotation-20260914/run_config.json` to `max_inflight=8`; GRPO `num_generations=4`, one harness per task per pass, save 50 / eval 100 and eval concurrency 100 remain. Planned E2B use is 108 of the confirmed 600 slots. Archived the previous configuration/validation under `configuration-history/inflight-4`. Diagnostic 78291 is evidence for concurrency 4; no live concurrency 8 result is claimed. The known 31 stale-row drops require observation at the higher concurrency. No jobs submitted. ## 2026-09-14 — Set generations 8, inflight 8, staleness 4 User explicitly selected `num_generations=8`, `max_inflight=8`, `max_staleness=4`. Updated the prepared rotation configuration and documentation. Each task is still assigned one harness per pass; each pass now requests 1,000 groups / 8,000 rollouts, and the four-pass cycle requests 4,000 groups / 32,000 rollouts. Checkpoint saves every 50 steps and fixed 1,000-cell pass@1 evaluations every 100 steps remain. Previous settings are archived under `configuration-history/g4-i8-s8`. Completed live diagnostic evidence is for G=4 / inflight=4 / staleness=8, not this new setting. No training or evaluation jobs submitted. ## 2026-09-14 22:23 UTC — Start long multi-harness run and Trackio logging User authorized launch and autonomous diagnosis/recovery. Submitted training **78618**, cleanup **78619**, eval watcher **78620**, CPU watchdog **78621**, Trackio CPU collector **78622**. Configuration: Qwen3.5-2B, LR 3e-6, G=8 / inflight=8 / staleness=4; one harness per task per pass, 1,000 tasks (150 easy / 600 medium / 250 hard), save every 50 optimizer steps, full fixed pass@1 eval every 100 on separate TP1/DP2 GPUs. Watchdog interval: 120 seconds during startup, 600 seconds after stability criteria. Trackio 0.33.0 integration retains native local JSONL fragments and canonical scalar audit JSONL. A separate CPU process creates a node-local deduplicated scalar dashboard, backs it up to FSx and syncs with bounded retry to the private `AdithyaSK/multi4-qwen35-2b-trackio` Space and Bucket. Completed baseline loaded at step 0: overall 14.6%, all harness/difficulty breakdowns. Verified remote step 0 and private RUNNING Space. Nine focused logging/monitor/audit tests passed; effective launcher preflight confirmed G8/I8/S4. Changes remain local; no repository pushes. Submission is not evidence of stable optimizer progress; startup review is ongoing. ### Startup repairs and first optimizer updates Trackio live database replacement left the dashboard's existing readers stale. Switched the CPU adapter to Trackio's native bulk logging API and replayed the durable scalar sources successfully. Then Slurm cancelled all CPU support jobs on `ip-10-53-83-246` by uid 0 at 22:30:37 UTC; the node disappeared from the CPU partition. GPU training **78618** continued. Restored watcher **78644**, monitor **78645**, logger **78646** and started a login-host supervisor to recover this specific support-job failure class. Seven supervisor tests passed. At 22:35 UTC: optimizer step **5**, finite nonzero gradients, observed staleness at most **4**, importance ratios near 1. The audit had **24/24** completed rollouts passing across all four harnesses, with full eligible-token retention and zero rows over 131,072 tokens. No checkpoint eval is due before optimizer step 100. The active source snapshot remains intact; logging fixes have a separate hashed operational snapshot. Normal WebSocket disconnect during final close caused noisy server tracebacks; patched local OpenEnv source for future launches without interrupting active training or altering its frozen server code. ### 22:54 UTC — Restart with accumulation 16 to address harness starvation Stopped job **78618** at optimizer step 11 (7 nonzero-gradient updates), with **109 stale rows discarded** and no saved checkpoint. Through step 10 only opencode/Claude rows had reached the trainer; codex and mini rows aged past the requested staleness limit while Claude's fork rows consumed optimizer updates. An exact replay of saved token rows through TRL's existing TokenBudgetBatcher found the first Claude group required **36 microbatches**: 9 GAS4 updates versus 3 GAS16 updates. This is a packing replay, not proof of future arrival timing. Prepared and launched **78647** from the original Qwen3.5-2B base in `multi4-long-gas16-20260914`, changing accumulation **4 → 16** while preserving LR 3e-6, generations 8, inflight 8, max staleness 4, token budget 131072, task/harness schedule, save50/eval100, and isolated eval resources. Dataset files are reused read-only with identical hashes. No optimizer state was resumed; old evidence is preserved. New cleanup **78648**, eval watcher **78649**, monitor **78650**, Trackio **78651**, plus a login-host CPU-job supervisor. New private Trackio project: `multi4-qwen35-2b-gas16-20260914` in the same Space. The replacement also includes the local WebSocket teardown correction and a tested `job-/STOP_AFTER_STEP` mechanism that requests checkpoint save + stop at the next optimizer boundary. GAS16 live validation remains pending. Original code snapshot and captures were preserved; no code was pushed. ### 23:20 UTC — GAS16 initial admission check passed Job 78647 reached step 5 with five nonzero-gradient updates, max observed staleness 3, zero stale/oversize drops, and stable coverage for opencode (2 task pairs), Claude Code (2), codex (1), mini-swe-agent (1). All 64 completed captures passed TiTO with complete eligible-token retention. This validates the initial admission mitigation; it does not fix row weighting/accumulation normalization or prove full optimizer consumption of every rollout. Eval100/checkpoint50 are not due yet. The supervisor automatically recovered another CPU node loss at 23:07:53 UTC: watcher 78649→78665, monitor 78650→78666, logger 78651→78667. Training continued. The earlier run's replacement final audit/cleanup job 78655 completed, confirming zero remaining owned sandboxes. Current IDs always come from submission.json. ### 2026-09-14 23:42 UTC — GAS16 long run stable startup and Trackio verification Training job 78647 reached step 11 with 11 nonzero-gradient updates, zero stale/oversize row drops, maximum observed staleness 4, and 129/129 completed capture audits passing TiTO. Stable admitted task/harness pairs: opencode 4, Claude Code 4, Codex 3, mini-swe-agent 3. CPU watchdog switched from 120-second startup checks to 600 seconds; normal rollout waits preserve healthy-progress evidence, and alerts restore closer checks. Private Trackio project `multi4-qwen35-2b-gas16-20260914` was verified remotely with actual training metrics, audit metrics, and baseline pass@1 at step 0. The pinned Trackio 0.33.0 bulk exporter omits configuration; a separate CPU collector now replays an existing log ID per run with allowlisted model/LR/G8/I8/S4/GAS16 metadata. Native deduplication preserves metric counts. Evidence and separately hashed operational scripts are in `logs/multi4-long-gas16-20260914/operations/trackio-config-v3/`. Training/eval source snapshots remain unchanged. Checkpoints remain every 50 optimizer steps; independent 1,000-cell pass@1 evals every 100. Neither milestone is due yet. Slurm blind requeue was disabled because this launcher does not call checkpoint resume automatically. Login-node CPU supervision recovers support jobs after node loss; GPU recovery still requires explicit checkpoint-aware action by the active coding task. No scheduled Codex wakeup exists. ### 2026-09-15 — Checkpoint-preserving continuation after larger fork groups The 11-update GAS16 startup was insufficient evidence for the long tail: job 78647 eventually dropped 114 stale rows over 17 productive updates. Saved groups 9/13/17 require 66/102/79 packed microbatches, respectively. GAS16 spreads those over 5/7/5 updates; GAS64 reduces each to about two. The run saved checkpoint 17 and exited cleanly, with zero remaining owned sandboxes. Continuation **78681** is launched under `logs/multi4-long-gas64-v2-20260915`, with **GAS64, G8, inflight8, staleness4, LR3e-6**. It restores model/optimizer/scheduler/RNG plus the existing TRL prompt cursor (18). The factory and coverage audit now offset restarted local group IDs by that cursor; schedule-wrap tests exercise the actual TRL repeated-row iterator. Twelve checkpoint/resume tests passed. Save50 and separate pass@1 eval100 remain indexed by the restored global optimizer step. The continuation uses a 22-hour allocation and a 21-hour soft stop, fitting the intended overall run window. Two capture failures were investigated during the parent phase: one E2B HTTP/2 connection error before any Codex model call (correctly unscorable), and a Claude image request to the text-only endpoint. The proxy had translated permanent 400 into retryable 502, and Claude appended a zero-token `` API error record. Permanent input errors now retain 400/413/422; reconciliation excludes only explicit synthetic zero-token API errors, retaining unknown mismatches as fatal. Replay of the original failed capture preserves all 1,174 actual sampled tokens across six model calls. Thirty-seven capture/reconciliation tests and targeted Ruff checks passed. Original evidence is unchanged. Baseline serving logs contain no matching unsupported-image error. First resume submission 78676 failed during its eight-second preflight because the outer launcher used system Python without safetensors; no model update occurred. The launcher now uses the pinned virtualenv, and its actual shell preflight passed before submitting 78681. Offline/online Trackio project: `multi4-qwen35-2b-gas64-20260915`. Live resumed-gradient and later checkpoint/eval milestones are still pending verification. ### 2026-09-15 00:55 UTC — checkpoint continuation reaches step 18 Job 78681 restored checkpoint 17 and completed new optimizer step 18: grad norm 1.453125, ratio 0.99495, 64 microbatches, 130,758 supervised tokens, zero stale or oversized row drops. Absolute groups 18–29 were collated; stable pair coverage needs the next optimizer boundary. First batch collection took 1,798 seconds plus 261 seconds forward/backward, so this is not yet a steady-state rate. CPU validation confirmed tied lm_head/embedding weights and all saved optimizer parameter steps at 17. Watchdog now displays the saved step during resume startup without inventing metrics (5 tests); operational monitor replacement 78687 is supervised. One ungraded mini-swe-agent rollout deleted its own workdir; native failure and unscorable reward were preserved. No code pushed. ### 2026-09-15 01:28 UTC — live training and transport incident review Continuation 78681 reached step 20 with three nonzero-gradient updates, ratios near 1, maximum observed staleness 2/4 and no stale or oversized drops. Steps 19/20 took 608/815 seconds. Stable admission from all four harnesses was confirmed at step 19. Two rollout attempts failed before any model call: mini-swe-agent hit a transient Gradio relay 404; Claude failed an E2B template lookup with HTTP/2 RECV_PING/CLOSED. Exact saved results replayed through the frozen worker yielded zero rows and unscorable reward, so neither entered the optimizer or group reward baseline. Matching private/public capture health and later valid same-harness rollouts established recovery. Original failures stay visible; per-episode monitor resolution cannot waive nonempty capture validation or acknowledge future failures. CPU support allocations were terminated twice and recovered by the supervisor; GPU training continued. Active monitor code is an explicit operational overlay, with six passing tests. No code pushed. ### 2026-09-15 01:35 UTC — final evaluation enabled alongside step-100 cadence Measured post-startup updates took 608, 815 and 885 seconds. The fixed 1,000-cell pass@1 evaluation now also runs on the final complete checkpoint, so hitting the time limit before a step-100 boundary still yields a trained-model comparison. The existing evaluator already supports this; its launcher now forwards --include-final, and supervisor recovery recognizes an unscheduled final checkpoint after training ends. Evaluation remains on separate TP1/DP2 GPUs, concurrency 100; no GPU training restart. Thirty-one supervisor/monitor/checkpoint-eval tests and actual shell preflight passed. The operational launcher and supervisor are hashed in operations/final-eval-v3. ### 2026-09-15 01:49 UTC — continuation enters ten-minute monitoring Job 78681 reached step 22: five resumed updates with finite nonzero gradients, importance ratios near 1, maximum observed staleness 2/4, and zero stale/oversized row drops. Initial audit snapshot: 270 TiTO passes out of 272 completed attempts; the other two had no model calls and were excluded from training, with incident recovery and exact worker replay recorded. All four harnesses have stable optimizer admission. Watchdog cadence changed to 600 seconds. Checkpoint 50 and the first full trained-checkpoint eval are still ahead. The final-eval watcher flag was verified on the live CPU process; supervisor PID and current support IDs are in their state files. Evidence: operations/STARTUP_REVIEW.json. ### 2026-09-15 02:40 UTC — checkpointed reliability handoff requested Job **78681** reached step 24 (seven resumed nonzero-gradient updates, zero stale/oversize drops) before this handoff. A third zero-call infrastructure attempt, Codex episode `8a8aa88e0c6e4967a3cdd01a47b7e159`, reproduced the E2B read-only template alias lookup HTTP/2 `RECV_PING`/`CLOSED` failure seen earlier with Claude. The failed capture remains failed and contributes no training rows/reward; it is not relabeled as a TiTO pass. Local OpenEnv change: the shared-template hook retries only `_does_template_exist` on HTTPX transport exceptions, at most three attempts with 1/2-second backoff. No sandbox-create, command, or model-call retry was added. Tests cover the actual observed exception, bounded exhaustion, false lookup, HTTP 401, cancellation, idempotence, and unchanged sandbox creation. HTTPX exception hierarchy reference: https://www.python-httpx.org/exceptions/. Added opt-in hourly recovery saves at optimizer boundaries alongside step-50 saves. They do not stop training or mark intermediate checkpoints final. The continuation preparer now requires an explicit remaining wall-time budget and restart reason, freezes the lookup patch into both train/eval sources, and clears obsolete parent operational overrides. Validation: **9 OpenEnv tests + 46 schedule/checkpoint/monitor/supervisor/eval tests passed**, targeted Ruff/usort and shell syntax checks passed. The old watcher was reloaded as **78758** and its actual process verified without `--include-final` before requesting `job-78681/STOP_AFTER_STEP`. This prevents a 1,000-cell evaluation of a transient handoff checkpoint. The continuation will retain every-100-step and true-final evaluation. At this entry the save/resume is still pending; see the subsequent entry for the actual checkpoint and job ID. ### 2026-09-15 02:54 UTC — reliability continuation 78767 launched from checkpoint 25 Job **78681** exited **COMPLETED, 0:0** after 02:38:49. Step 25: gradient norm 0.578125, reward 0.391419 (training row-weighted metric), ratio 0.999583, maximum staleness 2. All eight resumed updates had nonzero gradients; no stale/oversized rows dropped. Final audit: **438/441 completed TiTO passes**, **897,185/897,185 eligible tokens retained**, three rejected zero-call infrastructure failures, seven incomplete shutdown captures, and 44 stable pairs (11 per harness). Cleanup removed seven exact-owned sandboxes and verified zero remain. No handoff checkpoint eval was submitted. Full checkpoint 25 validated with optimizer/scheduler/RNG and rollout cursor **71**, model version **27**. New frozen continuation **78767** (`multi4-long-gas64-reliable-20260915`) passed actual train/eval shell preflights. Same Qwen3.5-2B, LR 3e-6, G8/I8/S4/GAS64, fixed dataset and harness pins. Recovery saves every 3,600 seconds at optimizer boundaries supplement saves every 50; eval remains every 100 plus the true final complete checkpoint, separate TP1/DP2 two-H100 node, concurrency 100, fixed 1,000-cell pass@1 protocol. Remaining active budget 65,948 seconds with a 19-hour allocation; elapsed parent time was not reset. Initial support jobs: cleanup **78768**, watcher **78769**, monitor **78770**, Trackio **78771**. Login-node CPU supervisor PID **2952238**, using the project venv executable, is active. Training is on `ip-10-53-85-89`. The new phase is still in startup validation; monitoring reports resumed step 25 with zero new updates rather than incorrectly treating it as fresh training. Resume limitation: the saved first-untrained-group cursor is restored; async queues are not serialized. Pending groups are regenerated, and neither full remaining-row replay of partially consumed groups nor exact-once sample admission is claimed. This is part of the existing TRL row-consumption limitation, not a capture TiTO pass guarantee. ### 2026-09-15 03:28 UTC — job 78767 resumed optimizer verified First resumed update **26** completed with gradient norm **0.466796875**, ratio **1.004107**, training reward **0.029487**, and max staleness **0**. Cold collection took 1,494 seconds; forward/backward took 250 seconds. The latest audited prefix is 66/66 completed TiTO passes; actual native versions for all four harnesses match baseline pins. Process arguments verify G8/I8/S4/GAS64, LR3e-6, save50 and hourly recovery saves. The active watcher verifies interval100 + true final; its frozen sources and default protocol match the fixed baseline manifest/order. No trained-checkpoint evaluation is due yet. Evidence: `multi4-long-gas64-reliable-20260915/operations/STEP_26_REVIEW.json`, `ACTUAL_TRAINER_ARGUMENTS.json`, `ACTUAL_EVAL_WATCHER_ARGUMENTS.json`, and `EVAL_FREEZE_VERIFIED.json`. The new phase remains under startup monitoring until further healthy updates. ### 2026-09-15 04:04–04:08 UTC — sandbox setup recovery and checkpoint 27 Job **78767** stalled between steps 26 and 27 while multiple OpenCode, Claude Code and Codex attempts hit the 360-second native dependency setup timeout before making any model call. The shared base lacked Node/npm; the native apt command requested 605 new packages, 223 MB downloads and 926 MB installed size. A bounded task-free probe did not return within 200 seconds. These failed attempts remain rejected; they are not TiTO passes. Built a candidate from the exact original E2B template build, adding checksum-verified official Node **22.23.2** and ripgrep **14.1.1**. Native Harbor setup passed on **eight fresh sandboxes**, two per pinned harness: OpenCode 21–25 seconds, Claude 11 seconds, Codex 15–16 seconds, Mini 22–23 seconds. All probe sandboxes were killed. The default alias was promoted at **04:04:48 UTC** without restarting the trainer, after checking there were no other active consumers; the old build is retained under a rollback tag. New build `6c36c460-79fa-4089-a452-1aab14296047`. This operational image change also applies to future checkpoint evaluations and is recorded explicitly; baseline and later sandbox runtimes are not bit-identical, although fixed tasks, harness pins, sampling and grading remain unchanged. Optimizer **step 27** completed with gradient norm **2.203125**, ratio **1.000874**, max staleness **1**, and no reported stale/oversized row drops. The first hourly **recovery checkpoint 27** is complete with model/optimizer/scheduler/RNG state; it is not final and does not trigger the step-100 evaluation. Live Codex trials created after promotion completed native setup in about 13–17 seconds. Further real-rollout recovery and sustained progress are still being checked. Two incomplete Mini-SWE-Agent calls from group 79 were separately traced: native agent execution completed, but uploading local agent logs back into E2B hung in HTTP/2 request-body flow control until the outer 1,800-second call timeout cancelled the trial. Neither reached verification nor produced a completed training result. This remains an unresolved transport incident, not a package-setup failure or a TiTO pass. Evidence: current run `operations/node-template/`, `RUNTIME_TEMPLATE_CHANGE.json`, `STEP_27_REVIEW.json`, and `MINI_LOG_UPLOAD_INCIDENTS.json`. No code pushed. ### 2026-09-15 04:51 UTC — match reference 76585; continuation 78831 launched The user requested the blackbox OpenCode run's throughput configuration. Actual job 76585 completed **400 optimizer steps in 3h09m30s**, with **G8, worker inflight32, GAS4, LR3e-6, staleness4, packing target40960, context131072, completion16384**, and compiled vLLM (prefix cache disabled). First 100 measured update intervals sum to **46.20 minutes**, excluding cold first-update/startup time. The prior “500 steps” table entry was not consistent with the saved trainer state and has been corrected. Slow continuation 78767 used roughly 6.6–7.1M forwarded tokens per GAS64 update, versus about 136k in the reference; GPU token throughput itself was comparable. Claude's repeated context dominates the four-harness workload, so reference wall time is not guaranteed. Job **78767** saved full **checkpoint30**, prompt cursor81/model version33, and exited COMPLETED. The handoff watcher was verified without final-eval enabled before stopping, so this transient checkpoint did not trigger 1,000 evals. New **78831** on `ip-10-53-80-43` uses **G8/I32/GAS4/S4/LR3e-6**, target40960 with exact rows up to131072, completion16384, compiled inference, 22CPUs/496000M RAM and two H100s. Four harnesses, pins, task pool/order, save50 and independent eval100+true-final remain. Remaining train budget58000s, Slurm17h. Eval remains TP1/DP2, 100 concurrency, fixed250tasks×4harnesses×pass@1; combined planned sandbox load132/600. The local single-GPU recipe `train/atomic_rollouts.py` keeps all forked rows of each admitted rollout in the same optimizer update and normalizes loss once by all supervised tokens in that update. It reuses native TRL scoring, collation, loss, optimizer/checkpoint and weight sync; no additional TRL source patch. GAS4 counts whole-rollout packing units; physical forwards can exceed four. Stale admission rejects whole rollouts. This is a token-weighted objective, not equal rollout weighting. Native resume cursors still do not serialize async queues or guarantee complete replay of partially consumed groups. OpenEnv's opt-in E2B adapter uses existing SDK streaming gzip uploads with deadlines and bounded retries. The actual adapter uploaded the two previously stalled **290574898 / 271682408-byte** logs in **9.88 / 9.51 seconds**, identical remote SHA256, no model calls; both sandboxes removed. Enabled for this training run and subsequent checkpoint evals. Native harnesses and scoring remain pinned; promoted Node runtime/build identity is retained in operational evidence. Validation: **9 atomic recipe tests** (including real HF optimizer-loop and native loss/gradient packing invariance), **30 OpenEnv upload/contract tests**, **16 schedule/checkpoint/audit tests**, actual train/eval launcher/hash/resume preflights. Largest saved capture per harness replayed through native lossless builder and new packing with exact IDs/masks/logprobs: Mini3rows, Claude17rows/1.83M forwarded tokens, Codex2rows, OpenCode4rows. Live GPU validation remains pending during serving startup. Initial support IDs: cleanup78832, evalwatcher78833, monitor78834, Trackio78835; login supervisorPID3041277. All running support roles confirmed and initial Trackio sync healthy. Project `multi4-qwen35-2b-blackbox-match-20260915`. Evidence/config: `experiments/async_grpo_harbor_data_agent/logs/multi4-long-blackbox-match-20260915/`. All changes local; nothing pushed. ### 2026-09-15 04:58 UTC — first atomic optimizer update 31 verified Continuation **78831** completed update31 with gradient norm11.25, ratio0.999022, maximum staleness0 and loss−0.71723. Receipt contains four complete OpenCode rollouts/ten exact training rows, 401776 forwarded /1858 supervised tokens; row/token/group counts match the independent capture audit. Forward/backward20.85s, initial rollout wait153.68s, weight synchronization19.06s. This is cold startup, not a steady-state ETA. Latest audit27/27 completed TiTO passes covers all four harnesses. No receipt mismatches. Goal is stable checkpoint100, verify separate eval starts and training continues. Live settings and compiled inference config are captured in operations/ACTUAL_*; sustained validation is ongoing. ### 2026-09-15 05:32 UTC — bounded-work continuation 78956 from checkpoint 53 The unbounded queue in phase **78831** did not stay efficient: checkpoint53 followed23 resumed updates in37m24s,19 with nonzero gradients, mean measured update79.28s, and **1,230 stale-row rejections**. Exact optimizer receipts matched captured row/token/group counts across all four harnesses. Checkpoint50 and full final checkpoint53 are complete. Its native resume state is cursor85/model version57: the first missing group cursor can regenerate later groups that had already been consumed; no exact-once replay claim. Cleanup78832 completed and verified zero owned sandboxes. The watcher was reloaded/verified without final-eval before the graceful handoff, so checkpoint53 did not launch an extra full evaluation. New job **78956** (`multi4-long-bounded-20260915`) is running on `ip-10-53-83-253`. It retains G8/GAS4/S4/LR3e-6, model/pins/task pool, exact TiTO, context131072/packing40960 and compiled inference. **16 total outstanding rollouts** now cover generation, scoring and queued work; the worker ceiling remains32, so actual concurrency is bounded by16. Credits reserve all8 generations together to prevent incomplete-group deadlock and release per rollout only after optimizer consumption, whole-rollout rejection, or an empty failed generation. Actual dispatch versions replace prematurely stamped waiting-group versions conservatively. Each of the4 packing units holds at most2 rollouts, leaving room for a full new group while accumulating. No extra TRL source patch. The recipe logs exact whole-rollout rejection receipts, the correctly summed `admission/stale_rollouts_dropped_total`, and peak outstanding work. The previous unsuffixed rollout-drop metric was a gauge, not a valid count; its `_total` row count remains valid. Validation:14 tests including native spawn IPC and group reservation/version/credit accounting, plus4 targeted checks including real HF optimizer loops with credits enabled/disabled. Bash/Ruff and actual frozen launcher/resume/dataset/eval-source preflights passed. Live GPU validation remains pending. Inference memory reservation reduced from0.90 to0.85 after observing80945MiB in the prior allocation, to provide weight-transfer headroom. The current pause mode stays `wait, clear_cache=True`. Research found the installed vLLM0.25.1 implementation can preempt/re-prefill active requests with `keep, clear_cache=True`, despite a contradictory API docstring. The earlier broad suggestion that historical keep necessarily reused stale KV was not established. A changed-weight, mid-request Qwen hybrid test is needed before selecting that optimization; no live mode change was made. Support IDs initially cleanup78957, watcher78958, monitor78959, Trackio78960; supervisorPID3069234. The monitor was reloaded with a minimum stable-cadence step63 (ten resumed updates), then two healthy progressing checks. Current IDs are always in submission.json. New Trackio project `multi4-qwen35-2b-bounded-20260915`; save50, eval100+true-final, fixed1000-cell pass@1 on separate TP1/DP2 GPUs with100 concurrency continue. Remaining budget55000 train seconds/16h allocation. Active objective: stable checkpoint100, full eval launched, training continuing. All changes local. ### 2026-09-15 05:40 UTC — bounded flow first optimizer update54 passed Job78956 completed the first resumed update54: gradient norm3.84375, ratio1.002829, maximum staleness0, no stale rejection, and measured outstanding work exactly16. Six Codex rollout admissions match independent capture row/token/group counts. First update forward/backward9.46s and cold rollout collection184.21s. Exactly two G8 groups launched before consumption released capacity. Serving/worker CLI, compiled mode,0.85 memory utilization and watcher interval100+true-final were checked on the running processes. GPU continuation is healthy so far; sustained validation and the checkpoint100 goal remain active. ### 2026-09-15 06:03 UTC — bounded continuation passed the first full harness mix at step 65 Job **78956** reached optimizer **step 65** without another restart: 12 updates since checkpoint 53, ten with nonzero gradients. All **64 admitted rollouts (16 per harness)** match independently audited row/token/group counts, with zero failed trials admitted, zero stale drops, and maximum observed staleness 3 under the configured limit 4. The outstanding-work maximum remains 16. Zero-gradient steps 61 and 65 have uniform group rewards (all successes and all failures respectively), so native GRPO advantages are zero; this is expected. Mean measured update interval is 122.97 seconds, ranging from 5.08 to 370.33 seconds. The slowest update processed four Claude rollouts with 7.0 million total context tokens across 68 exact rows; shorter-harness updates demonstrate the reference-like compute cost. The CPU support node disappeared after all three support jobs received SIGTERM at 05:43; the login supervisor recovered watcher/monitor/logging as 78982/78983/78984 on another node without affecting training. Current IDs remain in submission.json. Offline and online Trackio are healthy. Initial stability evidence is in operations/STEP_65_STABILITY_REVIEW.json and validation.json. The main goal remains complete checkpoint 100, separate fixed 1,000-cell pass@1 evaluation launched, and training continuing. No code pushed. ### 2026-09-15 06:39 UTC — full hourly recovery checkpoint 89 validated Job **78956** reached step **89** with a nonzero gradient (1.953125), importance ratio 1.000057, and staleness 1. Its hourly checkpoint contains full model/optimizer/scheduler/RNG state and passed completed-checkpoint/header/file-stat/cursor validation. Native resume cursor is **109**, model version **94**, rollout-state SHA256 `f35e2c553c759f25763dadd886d01544ce528d78fa16df06eecfd9af4cd81485`. Marker final=false; the interval-100 watcher correctly left evaluation state empty. Training continues without a restart. There have been no stale-row rejections in this bounded continuation. Evidence: `multi4-long-bounded-20260915/operations/CHECKPOINT_89_VERIFIED.json`. Checkpoint 100 and its independent pass@1 evaluation remain the active milestone. ### 2026-09-15 06:56–07:12 UTC — checkpoint 100 complete; independent full eval running Job **78956** saved full **checkpoint 100** at 06:56 UTC and continued training past step 104. Completed-checkpoint validation passed; native cursor **114**, model version **105**, rollout-state SHA256 `777223dccc4a9eedc7b9807019941600e83fd981d4385c68211f82b2add6bc45`. The marker is not final. A text-MLP slice comparison against checkpoint 89 found 7,251 changed values out of 262,144, confirming stored weights changed. Across the **47 updates from 53 to 100**, 34 had nonzero gradients. All **246 admitted rollouts** match independent exact TiTO row/token/group audits: Codex 56 (68 rows), Claude Code 62 (859 rows), Mini-SWE-Agent 64 (66 rows), OpenCode 64 (143 rows). No stale rows/rollouts were rejected; no nonfinite loss, gradient or ratio; maximum staleness 3 and outstanding work 16. Mean measured interval 99.83 seconds. One admitted Mini rollout failed after its own `rm -rf /workdir` command; reward was None, capture valid, and replaying the actual frozen native scorer proved advantage=0 with exclusion from the seven scored rollouts' reward baseline. Its 1,025 tokens remain in the 21,032-token update normalizer. No artificial zero reward or negative advantage was assigned. This agent failure is retained explicitly in the audit. Watcher **78982** automatically submitted eval **78987** at 06:57:43 (cleanup 78988), running on **ip-10-53-85-89** with **two H100 80 GB GPUs / TP1 / DP2**, separate from training node ip-10-53-83-253. Live server metadata verifies the staged checkpoint-100 model path. All eight preliminary rollouts (two per harness) passed TiTO. The actual evaluator process was then verified with **100 client/server/sandbox slots**, repeat=1, resume of those first graded cells and require-complete: the fixed 250 test tasks × four harnesses = 1,000-cell pass@1 evaluation is running. Its score remains pending. The trainer is still active beyond checkpoint 100, with post-100 gradients and no stale drops observed. Evidence: `multi4-long-bounded-20260915/operations/CHECKPOINT_100_VERIFIED.json`, `STEP_100_AUDIT.json`, `CHECKPOINT_100_WEIGHT_CHANGE.json`, `MINI_AGENT_DIRECTORY_DELETION.json`, `MINI_MISSING_REWARD_SCORING.json`, `ACTUAL_CHECKPOINT_100_EVAL.json`, `ACTUAL_CHECKPOINT_100_EVALUATOR.json`. All changes remain local. Ten-minute monitoring continues for the long run and evaluations. ### 2026-09-15 07:31 UTC — checkpoint-100 milestone verified; training continues at 119 Job **78956** has completed **19 further optimizer updates**, 13 with nonzero gradients, after checkpoint 100. The current continuation has zero nonfinite updates and zero stale-row drops. Checkpoint-100 hashes were independently reverified. Eval **78987** has **397/1,000 graded pass@1 cells** and remains active at 100 concurrency on separate GPUs; final scores are pending. Follow-up found intermittent Gradio relay failures during eval. At the detailed audit snapshot, 11 graded Codex cases contained the relay placeholder; all 11 demonstrably resumed through native retries and emitted `turn.completed` afterward. Terminal relay failures were ungraded and eligible for the existing retry passes. Preserve graded results and the baseline selection protocol. Both public capture endpoints subsequently returned their expected healthy instance identities; none of 344 completed training trial logs contained the relay signature. The relay's underlying cause remains unproven; no server restart or transport switch was made. Evidence: `operations/EVAL_RELAY_AUDIT.json`, `TRAIN_RELAY_AUDIT.json`, `PUBLIC_CAPTURE_HEALTH.json`, and `CHECKPOINT_100_MILESTONE_COMPLETE.json` under the bounded run root. The Slurm watchdog continues every 600 seconds with local status/alerts; the login supervisor recovers failed CPU support roles. These processes do not wake the chat or automatically restart GPU training. Saves remain every 50 steps and independent evals every 100 steps plus the true final checkpoint. ### 2026-09-15 09:28 UTC — checkpoint-100 eval complete; isolated Daytona comparison smokes pass Checkpoint100 recovery job **79057** preserved the original 999 graded cells and recovered the missing OpenCode task6 cell. All **1,000/1,000 pass@1 cells** are now graded and TiTO-audited, with matching pinned harness versions. Overall **24.8% versus base14.6%**; OpenCode24.4%, ClaudeCode27.6%, Codex28.0%, mini-SWE19.2%. Cleanup79058 completed. Full comparison is recorded in `HuggingEnvs/04-data-agent/eval/CHECKPOINT_100_PASS_AT_1.md`. Existing training78956 remains active; monitor last verified step192 with no stale-row drops. New explicit goal: complete both Daytona baselines and provider/model/optimizer/checkpoint-resume smokes before long comparison training. Blackbox uses the current exact-TiTO atomic async pipeline with OpenCode fixed for training and four harnesses for eval; whitebox uses native synchronous GRPO with existing bash/SETA tools. Both use the frozen Qwen3.5-2B revision, task identities, binary verifier, LR3e-6 and G8; saves50/evals100 are planned. The request's100-versus-current1000 training-pool ambiguity remains pending before long runs. No pushes or live-training/shared-venv changes. Native Harbor/Daytona provider lifecycle tests passed3/3; whitebox HTTP/MCP tool/verifier tests passed8/8. Two test tasks × four blackbox harnesses yielded8/8 graded captures passing the original exact-token audit. Whitebox's two initial model rollouts passed token/logprob/mask preservation through the actual frozen TRL tool loop. The first whitebox concurrency ramp graded8/8 additional tasks at8slots; Daytona admitted32blackbox+8whitebox simultaneously. Full baselines remain **in progress**, with no completed Daytona headline score yet. Isolated base inference79061 runs TP1/DP2 on twoH100s at ip-10-53-93-25; CPU baseline controller79067 performs measured ramps and first-graded-cell resume, cleanup79069 is dependent on inference termination. Prepared optimizer tests run2updates/save/resume-to4 and require both full baseline gates. The whitebox wrapper guards native vLLM's duplicate-prompt grouping after tool histories diverge; three regression cases pass, GPU optimizer verification pending. Evidence lives in `experiments/daytona_harness_comparison/logs/20260915/`; current progress/configuration is recorded in `HuggingEnvs/04-data-agent/eval/DAYTONA_COMPARISON.md`. ### 2026-09-15 09:55 UTC — reference migration verified; three-run launch authorized User explicitly approved checkpointing/moving the reference training and bringing all three runs up in parallel, with no `hopper-extra` use today. Job **78956** exited successfully after checkpoint **196**. Replacement **79083** on **hopper-prod** restored native training state and advanced through checkpoint **200**; independent pass@1 eval **79092** was automatically queued and started on permitted GPUs. Source/hyperparameters are preserved; new resource request is 16 CPUs, 256 GiB, two H100s. CPU cleanup/watch/monitor/logging jobs are 79084–79087; the new login supervisor is active. Migration evidence: `multi4-long-prod-20260915/operations/MIGRATION.json` and preflight validation. Daytona base inference **79079** and baseline controller **79088** replaced 79061/79067, retaining 39 blackbox and 35 whitebox graded cells. Blackbox recovered its remaining ramp cell: **40/40** exact-token audited captures, then 100-way dispatch. Whitebox's repeat ramp paused at7/8 because of one inference read timeout; recovery **79096** repeats the small ramp while retaining every graded result. No completed Daytona baseline score or optimizer smoke is claimed yet. Cleanup **79091** targets only owner79079; old-owner cleanup was verified empty after an eventual-consistency recheck. Prepared both long-run configurations, independent checkpoint-eval launchers and CPU Trackio/monitor/support recovery, with saves50/evals100, LR3e-6, G8 and the same frozen1000 train/250 test tasks. Long launches are authorized after complete baselines and real optimizer/save/resume validation. All modifications are local, with shared venvs and the original live source snapshot preserved. ### 2026-09-15 10:29 UTC — migrated training advances; Daytona transport recovery in progress Reference training **79083** on `hopper-prod` reached **step223**, with nonzero gradients on steps220–223 and observed staleness2–3. Independent checkpoint200 evaluation **79092** had **517/1000 graded pass@1 cells** at10:25UTC. No task jobs remain on `hopper-extra`. The three-run objective is not yet complete: only the reference trainer is active. Daytona100-way evaluation exposed WebSocket keepalive/pooled-connection failures and a dropped async close awaitable; whitebox MCP cleanup and nested timeout handling also required local fixes. Nine targeted regressions pass. Service **79116** replaces79079 on twoH100s TP1/DP2 with eightCPUs, and verified engine token/logprob and capture-identity preflight. CPU controller **79119** repeats a64-cell32-slot blackbox recovery gate and whitebox8→32→100 ramp before full throughput. At10:25UTC218/1000blackbox and49/250whitebox cells were graded; whitebox recovery subsequently passed8/8 at8slots. No completed Daytona baseline or optimizer success is claimed. Old-owner cleanup79091 verified zero remaining sandboxes;79118 handles current-owner cleanup. Evidence: `transport_recovery_changes.json`, `EVAL_ENDPOINT_MIGRATION_79116.json` and live ramp artifacts under the comparison run root. ### 2026-09-15 10:53 UTC — Daytona whitebox baseline complete at16.4% pass@1 The fixed250-task native bash/SETA baseline completed with41correct (16.4%pass@1), all250TiTO checks passing. Easy13/33, medium22/118, hard6/99. First graded outcomes are retained;11earlier infrastructure attempts were excluded/retried. Following transport fixes, ramps graded8/8 at8slots,32/32 at32slots and168/168 at100slots (693.4s). Canonical results are in `daytona_harness_comparison/logs/20260915/whitebox/baseline/canonical_scores.json` and recorded in04-data-agent/eval/DAYTONA_COMPARISON.md. Blackbox recovery passed64/64new cases at32slots and resumed100-way evaluation;532/1000cells graded at the snapshot. Migrated reference trainer79083 reached242,11of18updates since224with nonzero gradients and no nonfinite metrics;checkpoint200eval79092 had919/1000cells graded. At218the staleness policy rejected four whole rollouts (67rows); no further stale rejection through242. Both Daytona optimizer smokes and long jobs are still pending; all GPU jobs remain onhopper-prod. ### 2026-09-15 12:06 UTC — both Daytona baselines complete; two optimizer smokes allocated Blackbox 1,000/1,000 TiTO-audited and version-matched pass@1 cells scored 159 correct (15.9%); whitebox 250/250 scored 41 correct (16.4%). Baseline controller 79119 completed; serving 79116 was cancelled after canonical validation. `hopper-atl` supplied two H100 80GB GPUs each for **blackbox smoke 79195** and **whitebox smoke 79197**, with eight CPUs/256 GiB per job and owner cleanup 79196/79198. Services are starting; native optimizer/save/resume validation remains pending. Current reference trainer 79083 stays in place. Checkpoint-200 recovery **79199** (cleanup 79200) preserves 999 graded cells from failed 79092 and retries Claude Code index 170 on a fresh endpoint with the same frozen checkpoint/protocol. No `hopper-extra` use or pushes. ### 2026-09-15 13:27 UTC — multi-harness progress and HF comparison deployment Reference job **79083** remains on `hopper-prod`, at optimizer **step 348**. Completed fixed-set pass@1 is **14.6% base → 24.8% checkpoint100 → 26.3% checkpoint200**, each1,000 cells. Checkpoint300 eval79305 has **976/1,000** graded cells and **29.1% provisional pass@1**; automatic retries retain earlier graded outcomes. Final coverage/TiTO/version audits remain pending. The detailed harness/difficulty and reward breakdown is in `HuggingEnvs/04-data-agent/train/PROGRESS.md`, with immutable snapshot evidence under `eval/progress-20260915-1325/`. Training has 0 nonfinite updates and 89/152 nonzero-gradient updates since migration. The monitor detected a zero-gradient streak; a nonzero update returned at step 348. This is a learning-efficiency concern associated with zero group reward variance, not evidence of a stalled optimizer. Staleness rejected12 whole rollouts/75rows; oversized drops0. Offline and online Trackio remain healthy. HF comparison resources now exist in **HuggingEnvs**: four private Docker environment Spaces, private reproduction dataset and artifact Bucket, and **public** `data-agent-daytona-trackio` as requested. Both offline→online→read-back metric checks passed. Real Space tests passed discovery and8 whitebox Daytona tool/verifier cases. Corrected whitebox training catalog ordering to match Harbor’s sorted task indices; all1,000train/250test identities and schedules verified. Clean CPU Job **6aa9459cf76d6a098a70d6fc** passed frozen imports/CLIs and all8,774 bundle-file checks. A100 smoke Jobs **6aa946a05527934177ee4e67** and **6aa946a1f76d6a098a70d750** loaded Qwen3.5-2B successfully, then the inherited serving launcher exited when writing its URL file to an FSx-only path. The portable copy now uses `/tmp`; redeployment/retest is in progress. Neither HF full baseline nor optimizer smoke is claimed passed. A small explicitly labeled checkpoint fixture separately passed real private-Bucket upload/download, native cursor restore and optimizer-tamper rejection. Canonical scripts are under `04-data-agent/hf`; no git pushes, no new hopper-extra/ATL allocations, and no changes to the running reference trainer. ### 2026-09-15T14:13:58.706352+00:00 — HF environments consolidated into two Spaces Per user instruction, deployed private CPU-Upgraded `HuggingEnvs/data-agent-seta-whitebox-env` and `HuggingEnvs/data-agent-opencode-blackbox-env`. Each serves both train/test Task APIs and an interactive UI inspired by environment-101. Trackio remains in training Jobs. Previous four environment Spaces and Trackio Space paused after clients drained. Native capture now carries per-session split token ceilings (train16384/test4096); live UI tests passed simultaneous isolated train/test Daytona sessions and cleanup. Authenticated Daytona usage established a125-sandbox joint RAM bound, so current allocations are blackbox64(train16/eval48), whitebox61(train8/eval53), with1024 transport sessions each. Old A100 whitebox smoke passed2/2; blackbox ended7/8 graded, all seven TiTO-valid, one Codex229 transport failure—coverage gate failed correctly. New consolidated smokes: whitebox6aa9517af76d6a098a70d948 and blackbox6aa9517b5527934177ee5177. Full HF baselines and optimizer/save/resume gates remain pending. See HuggingEnvs/04-data-agent/hf/STATUS.md. Original multi-harness79083 remains on hopper-prod. ### 2026-09-15 14:33 UTC — HF baselines interrupted externally Both consolidated environment Spaces were paused and both full-baseline Jobs were canceled outside this task. Completed smokes remain valid: whitebox2/2 and blackbox8/8, all TiTO-valid; the interactive OpenCode train-task895 test also passed alongside evaluation. Saved baseline first-graded cells are whitebox8 and blackbox2; results are incomplete. HTTP503 at the32-way whitebox ramp reflects the paused Space, not an established server-capacity failure. User clarification requested before undoing the stop. Cleaning up34owned Daytona sandboxes left behind. Original multi-harness79083 remains running on hopper-prod. See04-data-agent/hf/STATUS.md and hf-20260915/external-stop.json. ### 2026-09-15 17:24 UTC — checkpoint400 complete; fresh HF baselines and launch pipeline Reference trainer79083 remains RUNNING on hopper-prod, observed at step504. Checkpoint400 is fully audited:333/1000=33.3%pass@1 (OpenCode32.8%,Claude36.8%,Codex34.8%,Mini28.8%). Retry80323 completed the one ungraded transport-failure cell, preserving999graded outcomes; all1000TiTO/version checks pass. Checkpoint500 eval80332 is RUNNING. Direct allocation extension was denied by Slurm; CPU continuation80296 is queued after79083 to restore its latest complete checkpoint into a new24-hour allocation. Current allocation ends21:36:40UTC. Exactly two shared data-agent environment apps are publicly accessible on CPU Upgrade, with protected source repos and authenticated cross-session artifacts. The five obsolete Spaces were deleted with explicit approval. Correction to the earlier14:33entry: the origin of the pauses/cancellations is unknown, not established as outside this task. User requested fresh HF baselines without recovered cells. Whitebox6aa97763f76d6a098a70de94 has139/250graded and passed the53-slot ramp at99/100new tasks in646.6s; one infrastructure attempt is retried later. Blackbox6aa977785527934177ee5a41 was canceled after all8native trials finished but4long responses were lost. A400-second live control confirmed idle WebSocket loss without keepalives and successful delivery with20-second pings. The fix is deployed in bundleb81a60ea; replacement blackbox baseline6aa97eab5527934177ee5ba8 starts from scratch. Both eval Jobs use oneA10080GB,TP1DP1. CPU setup6aa97eb0f76d6a098a70df47 waits for both full baselines, updates only idle Spaces, runs real UI and twoh200x2optimizer/save/remote-resume smokes, then launches the two24htrainers plus independent checkpoint eval Jobs. Local coordinator/gate/transport tests pass; actual HF optimizer tests are still pending. Saves50/evals100 and training-only Trackio are wired into the frozen bundle. HF OAuth/provider selection was researched as a secondary demo feature; no live deployment yet. No git pushes or new hopper-extra/ATL allocations. ### 2026-09-15 17:33 UTC — standalone OpenCode versus Harbor clarification User asked whether the HF blackbox arm runs the `blackbox-opencode` implementation. Verified it currently runs Harbor through OpenEnv, using `train_harbor_multi.py` with OpenCode fixed for training. The standalone `train_blackbox_opencode.py` / `envs/blackbox-opencode` path has not been integrated with Daytona. Held automatic training launches by canceling setup CPU Job6aa97f78f76d6a098a70df6f while it waited for baselines; neither HF optimizer smoke nor long training had launched. Both fresh eval Jobs continue, and reference multi-harness79083 remains active (step515, zero nonfinite updates at17:31). The two blackbox execution paths must be distinguished before resuming the comparison launch. ### 2026-09-15 18:16 UTC — standalone OpenCode deployed; Daytona eval ceiling raised to 100 Retained and renamed the Harbor implementation as `HuggingEnvs/data-agent-blackbox-harbor-env`; separately deployed the original `envs/blackbox-opencode` implementation as `HuggingEnvs/data-agent-blackbox-opencode-env`, alongside SETA Whitebox. All three apps run on CPU Upgrade. The standalone environment has a direct Daytona SDK adapter, existing HF/E2B backends, frozen 1,000 train / 250 test tasks, pinned OpenCode 1.18.31, authenticated inference and exact token/logprob/loss-mask capture. Real Daytona/HF protocol checks, four regressions and four model rollouts passed. SETA's fresh HF baseline completed at **47/250 = 18.8% pass@1** (easy 14/33, medium 27/118, hard 6/99), all TiTO checks passing. The Harbor HF baseline failed its coverage gate and is not complete. At the user's request, standalone Daytona capacity was raised to **100**; HF remains **32**. The old baseline Job `6aa985baf76d6a098a70e01a` was canceled for a fresh run because limits are fixed at startup. Its last downloaded Daytona snapshot (29 graded, 5 correct, TiTO valid) is archived, with no cells imported into the replacement. Seven remaining owned Daytona sandboxes were deleted and zero remaining verified. EU quota permits 100 current-size containers: 100 vCPU / 400 GiB RAM / 500 GiB disk, against 250 / 500 / 2,000 available quota. Replacement A100 80GB Job `6aa98b715527934177ee5e73` is RUNNING with bundle `3dbab07f0abad40dadd556262cbfa5d19730d02c0a3c5e0c2b3f8cf8aba58c3e`; the live standalone Space reports the matching bundle and 100-slot cap. It repeats two model smokes per backend, then fresh 250-task pass@1 cohorts with Daytona 8 → 32 → 100 and HF 8 → 16 → 32. Actual 100-way throughput/reliability remain pending measurement. New comparison training launches remain held until the baseline and real optimizer/save/resume gates pass. Original multi-harness Slurm training was not modified. See `04-data-agent/hf/STATUS.md` and `hf-20260915/standalone-c100/` for evidence. ### 2026-09-15 19:34 UTC — Native OpenCode eval and optimizer smokes moved locally User requested hopper-prod, local OpenEnv, TP1/DP2 and fixed50concurrency with no ramp. HF native eval6aa98b715527934177ee5e73canceled (52/250graded,10correct,305ungraded at final snapshot);98owned containers deleted and zero remain. Local80486failed on an internal vLLM port collision, fixed by using LOCAL_INFERENCE_PORT. Replacement80514running with both H100 replicas loaded. Whitebox80515and native OpenCode80516smokes are queued afterok80514. Cache-reset HTTP handling is fixed; Whitebox distinct-occurrence TiTO audit has5passing regressions but still needs GPU validation. No successful optimizer/remote-resume or long-training readiness is claimed. Details: HuggingEnvs/04-data-agent/hf/STATUS.md and LOCAL.md. ### 2026-09-15 19:51 UTC — Native baseline complete; Whitebox returns to HF H200 Native standalone OpenCode baseline80514 completed **21/250 = 8.4% pass@1** at fixed concurrency50, TP1/DP2 on two local H100s. All250 TiTO audits pass, zero ungraded attempts, no retries, and zero owned sandboxes remain. Evaluation stage took14.38minutes (17.39tasks/minute). Easy9/33, medium10/118, hard2/99. Canonical evidence and full protocol are recorded in `HuggingEnvs/04-data-agent/eval/STANDALONE_OPENCODE_BASELINE_PASS_AT_1.md`. User selected a hybrid placement: native SETA Whitebox training on HF Jobs H200; asynchronous native OpenCode locally on hopper-prod. Whitebox local80515 was canceled before allocation; replacement HF smoke6aa9a0a3f76d6a098a70e399 runs onh200x2 with corrected TiTO audit bundlec18bcae. Byte-level checks confirm identical training/test task manifests and identical first1,000-group task order across placements. LR3e-6, G8, saves50/evals100. Native local smoke80516 failed before training because API port38516 was occupied by another client's ephemeral socket; service ports are moved below the node's32768–60999 ephemeral range and a fresh isolated smoke is being staged. Long comparison runs remain unsubmitted pending optimizer/save/remote-resume qualification. Original multi-harness79083 reached608, with zero nonfinite updates, staleness≤4 and2,181/2,181 audited TiTO rollouts. Checkpoint400 is fully audited at33.3% versus14.6% base. Checkpoint500 has369/998 correct (37.0% provisional); two OpenCode cells lost the Gradio capture tunnel. Recovery80532, after checkpoint600 eval80510, preserves all998 grades and retries only those two missing cells. Updated `04-data-agent/train/PROGRESS.md` and companion snapshot. ### 2026-09-15 20:34 UTC — Both local optimizer smokes pass; checkpoint cadence validated Native OpenCode80549 completed all four optimizer updates, checkpoint2 upload/remote restore, changed checkpoint4 weights, exact TiTO and native optimizer-state checks. All four updates had nonzero gradients; the11m50s job cleaned up to zero owned sandboxes. At the user's additional request, local native SETA Whitebox80555 passed the same four-update/save/remote-resume qualification on two H100s in18m19s, with two nonzero-gradient updates and zero owned sandboxes remaining. Both used the same frozen1,000-task training pool,250-task test identities, pinned Qwen3.5-2B,LR3e-6 andG8. Independent OpenCode checkpoint4 eval80565 completed all8short cells (two fixed tasks×four harnesses), with exact TiTO, pinned harness versions and cleanup0. Controller80564 passed. The earlier80559 launch failed before rollout because its zero training reservation was invalid; the new service config provides50eval slots through58total/8reserved. No scored outcome was replaced. Native SETA checkpoint4 eval80576, from controller80572, is now RUNNING on separate H100s. Both main recipes retain saves every50steps and pass@1 evaluations every100steps. Actual command-builder/controller tests select100/200from saved50/100/150/200metadata, and short qualification skips2/evaluates4. Seven local admission/qualification/score-forwarding tests and13checkpoint/dispatch tests pass. The local OpenCode main plan is prepared and proof-validated under `hf-20260915/local-opencode-main-ready`; it has not been submitted. The score supervisor forwards only verified full evals into training Trackio and preserves late scores separately from the optimizer. HF Whitebox6aa9a487f76d6a098a70e3d2 has acquiredh200x2 and is running. Bootstrap installs the archived TRL project metadata correctly, serving/token preflight passes, and real optimization has begun. Its full save/remote-resume proof is pending. CPU80567 waits for that exact proof and will evaluate checkpoint4 on a separate HF allocation through the same independently pinned SETA Space. CPU80563 was replaced before any eval dispatch to propagate eval failures correctly; the HF GPU trainer was unchanged. No long comparison trainer is launched. Current report: `HuggingEnvs/04-data-agent/hf/COMPARISON_READINESS.md`; cadence evidence: `hf/configs/cadence_validation.json`. Original multi-harness79083 and checkpoint600eval80510 remain separate and running; checkpoint500tail retry80532 still waits after80510. ## 2026-09-15 20:42 UTC — comparison cadence and both local checkpoint paths verified Native OpenCode optimizer80549 and SETA optimizer80555 passed four updates, save2/remote restore, exact TiTO and native optimizer checks. Independent checkpoint4 evaluators80565 (8 four-harness cells) and80576 (2 SETA cells) completed, cleanup0. Main save50/eval100 plans prepared; GPU evaluations independent from training;50-step full checkpoints retained. HF H200 smoke6aa9a487f76d6a098a70e3d2 is resumed at update3, awaiting update4 and final proof; CPU80567 follows for a full250-cell checkpoint4 SETA eval. Added a read-only HF launch preview and provenance gate,15 focused checks pass. Both long comparison runs remain unsubmitted; original multi-harness run unchanged. Current configuration: `HuggingEnvs/04-data-agent/hf/COMPARISON_READINESS.md`. ## 2026-09-15 20:49 UTC — HF H200 optimizer smoke passed Whitebox HF6aa9a487f76d6a098a70e3d2 completed all4updates,3nonzero-gradient, exact TiTO, changed weights, full optimizer state and remote checkpoint2 restore. Checkpoints2/4 published. Both local optimizer smokes and both local checkpoint4 evals were already passed. Controller80567 follows with independent250-task SETA checkpoint4 eval; CPU80585 verifies the exact main launch request without allocating a trainer. Save50/eval100 prepared for both main runs, still unsubmitted. ## 2026-09-15 21:18 UTC — authorized long comparison launches and three-run monitor - User authorized starting native standalone OpenCode locally and SETA on HF H200, alongside the existing multi-harness run; supersedes earlier long-training hold. - Native zero-tolerance grading correction preserves all1250 frozen task parameter sets; deterministic rescore retains21/250 baseline with no changed grades. Corrected optimizer smoke80593 and checkpoint qualification80594 gate launcher80595. - HF SETA optimizer qualification passed. Checkpoint4 full250 pass@1 evaluation, late Trackio replay80586 and provenance preview80585 gate launcher80596. - Persistent CPU monitor80599 runs every600seconds for48h; current Markdown is `HuggingEnvs/04-data-agent/hf/RUN_PROGRESS.md`, history under `experiments/daytona_harness_comparison/logs/hf-20260915/three-run-monitor/HISTORY.md`. Numerical/TiTO/progress/eval/reward alerts and bounded transient controller recovery are durable. - Existing multi-harness run79083 reached680updates; automatic allocation continuation80296 is already queued. Checkpoint600 recovery80600 retries only10 ungraded capture-tunnel failures and preserves990 grades; separate GPU allocation, after checkpoint500 recovery80532. ### 2026-09-15 21:24 UTC — HF SETA main launched - HF H200×2 main job6aa9b6c9f76d6a098a70e786 submitted; ownertrain-whitebox-1789507273, runtimef4a288ea, external checkpoint controller80605. Initially SCHEDULING; no main optimizer update yet. - Required checkpoint4 HF eval completed250/250,52correct=20.8% pass@1, all TiTO. Late Trackio replay/idempotence and provenance preview passed before actual allocation. - Corrected native80593 smoke passed four nonzero-gradient updates, native full-state restore, changed weights, TiTO, cleanup0. Its checkpoint4 eval80603 follows the same qualified local evaluation source. Launcher80595 will start main automatically. - Main local supervisor now checks HF eval jobs, including startup, under the shared admission lock. Existing evaluator source remains unchanged; new admission tests passed. This closes an asymmetric resource-admission gap before the long run. - Main multi-harness checkpoint500:370/999graded (partial37.0%). Checkpoint600:315/990graded (partial31.8%). Matched-cell review shows Claude112→75/250 and Codex98→81/250, so the decline cannot be explained by the missing OpenCode cells. Both checkpoints are retained and training continues while infrastructure retries finish. ### 2026-09-15 21:33 UTC — all three main trainers allocated Native standalone OpenCode80626/controller80627 are RUNNING on independent local H100 GPUs after corrected optimizer80593 and all-eight-cell checkpoint eval80603 passed. HF SETA main6aa9b6c9f76d6a098a70e786/controller80605 are RUNNING on h200x2. Both preserve the matched main configuration, save50/eval100, independent eval GPUs and sandbox reservations. Original multi-harness80608 continues from full checkpoint684; new updates685–687 observed. Monitor80616 supersedes80599 with verified resume-history handling,600-second checks and48h duration. Current details: `HuggingEnvs/04-data-agent/hf/STATUS.md`; append-only monitoring history: `experiments/daytona_harness_comparison/logs/hf-20260915/three-run-monitor/HISTORY.md`. ### 2026-09-15 21:35 UTC — both new main optimizer paths active Native OpenCode80626: step1, reward0.6, gradient norm15.6875,16 rollout artifacts recorded. HF SETA6aa9b6c9f76d6a098a70e786: step1, reward0.875, nonzero gradient, first8 TiTO rows pass and Trackio artifacts persist. Initial native CPU token/optimizer receipt audit is underway. The10-minute monitor80616 and both separate checkpoint-eval controllers remain active. ### 2026-09-15 21:47 UTC — Three-run monitoring and Trackio continuity CPU monitor80636 replaces80616, preserving the600-second cadence and inherited checkpoint eval history. Original-run CPU collectors80634/80635 replace80612/80318 after exact remote event/metric/config readback passed; fixes false count-equality sync timeouts and one blank monitor-history line. Initial live receipts verify18continuation/1,035parentevents. Fourteen focused tests passed. All trainers remain in their existing allocations. Detailed evidence and current pointers: `HuggingEnvs/04-data-agent/hf/STATUS.md` and `RUN_PROGRESS.md`. ### 2026-09-15 22:05 UTC — streaming capture relay qualification and trailing eval recovery Persistent CPU monitor80636 remains active every600seconds for48h. Its21:57snapshot reported all three trainers RUNNING at697/37/7, no alerts. Direct check subsequently found native OpenCode at59, with checkpoint50 saved and published. Original checkpoint700 automatically launched independent evaluator80641. Separate CPU probe80637 reproduced the relay's approximately60-second deadline on a75-second fixture response; keepalives succeeded. Local capture streaming keepalives passed145 focused tests. Real-relay fixture probe80638 passed all four streaming formats with exact token IDs, logprobs, masks and call counts. This does not establish the cause of every404 or fix slow nonstreaming JSON. Actual model recovery remains pending. Checkpoint500 recovery80639 is running with an isolated source copy containing only the qualified server.py/sse.py transport change; preserves999grades/370correct and retries OpenCode170. Checkpoint600 recovery80600 reached999grades/318correct; replacement80644 waits after80639, preserves those grades, and retries only OpenCode170; cleanup80645. No live trainer or checkpoint700 source was edited. Evidence and limitations: HuggingEnvs/04-data-agent/hf/STATUS.md and three-run-monitor/{relay-deadline-probe,capture-keepalive-probe}/result.json. Changes remain local, with no git push. ### 2026-09-15 22:12 UTC — bring-up audit passed; main monitoring continues Read-only audit reconciled1,000Harbor/Daytona +250nativeOpenCode +250freshHFSETA baseline cells, rehashed500native/SETAcaptures, verified1,000HarborTiTO reports, optimizer/remote-restore/checkpoint proofs and completed original checkpoint100 recovery. Canonical cadence metadata now reflects finished HF qualification and late Trackio replay. Report: HuggingEnvs/04-data-agent/hf/BRINGUP_AUDIT.md; reproducible evidence: logs/hf-20260915/bringup-completion-audit/. The22:07scheduledmonitor observed original705/native63/SETA8. Nativecheckpoint50 saved/published; originalcheckpoint700eval80641 active. Native reward-window review0.641→0.377 found different task groups (12easy→9easy+2medium), finite updates and staleness≤4; it is not proof of a learning regression. Checkpoint500now has1,000graded/370correct, awaiting finalTiTO/provenanceaudit;600tailretry80644 remains serialized after80639. All three trainers and the600-second monitor continue independently. ### 2026-09-16 05:24 UTC — overnight status, provenance fix and eval recovery Original/native/SETA trainers remain running at943/724/94 in the latest direct/scheduled observations. CPUmonitor80636 kept its600-second checks. Twenty-nine original-run TiTO failures were excluded; none was consumed by the optimizer (1,299receipt IDs matched to check artifacts). GPU eval failures had been recorded but not automatically recovered. Fixed canonical checkpoint scoring to follow measured version metadata through same-checkpoint retry ancestry;12tests pass. Original500/600now fully audited and comparable at37.0%/31.8%, preservingall2,000grades. Queued isolated keepalive/metadata-preserving recoveries80908/80910/80912/80914 for684/700/800/900; cleanup80909/80911/80913/80915. No trainer or graded outcome changed. Native completed100/200/300/400/500 four-harness evals at19.7/22.1/21.6/26.4/23.1%;600eval80902 is running (last999/1,000rollouts). SETA94updates precedes its first100eval. Updated STATUS.md, COMPARISON_PROGRESS.md and train/PROGRESS.md; evidence under three-run-monitor/status-check-20260916/. # Trackio late-evaluation upload repair — 2026-09-16T06:05:52.005766+00:00 Remote inspection confirmed that the current production project had live continuation metrics but lacked checkpoint100 (only present in the older bounded project) and checkpoint500/600 (the parent logger exited before their audit repair). The active CPU logger now reads the bounded and parent evaluation directories as well as the continuation, retains full comparison gates, and tracks late recovery-job receipts before exiting. Logger80634 was replaced by80959 through the existing supervisor; GPU trainers were untouched. Eight focused tests passed. Remote readback verified baseline and checkpoints100–700, including500=37.0%,600=31.8%,700=28.8%, and training through step962. Incomplete684/800/900 scores remain withheld. Dashboard project: `multi4-qwen35-2b-prod-20260915`; live series: `training-80608`; checkpoint series: `evaluation-curve`. Evidence: `multi4-long-prod-cont-20260915/operations/trackio-eval-history-v4/VERIFIED.json`. ## Trackio landing-view repair — 2026-09-16T06:13:26.689484+00:00 Reproduced the user's screenshot in Chromium: the bare Space URL selected `multi4-qwen35-2b-20260914` and plotted `training-78618`, ending at step11. The earlier upload repair had not fixed this UI default. Trackio0.33.0 selects the first returned project; its `show(project=...)` argument only changes the printed launch URL. Updated only the Space's `app.py` to return the current production project first, preserving all seven historical projects. Reproducible source: `hf/trackio_app.py`; deployed commit `4c72c4ad523075fa6f448027358794bd1f908681`. The dashboard rebuild did not restart trainers. Fresh Chromium verification of the plain `.hf.space/` URL selected the current project, rendered the reward and evaluation charts, fetched training through step967, and showed all nine baseline/checkpoint points through800 (27.0% pass@1). Browser-fetched values for500/600 were checked as37.0%/31.8%; no JavaScript errors. Evidence and before/after screenshots: `multi4-long-prod-cont-20260915/operations/trackio-ui-20260916/`. Already-open tabs need one reload to apply the new default; their current selection otherwise remains intact. ## Complete training history in Trackio — 2026-09-16T06:22:31.913390+00:00 The current project previously showed only jobs79083 (197–684) and80608 (685 onward); steps1–196 were in older projects. The CPU collector now publishes `training-full-history`, a separate continuous view of the actual resumed training lineage:78647 (1–17),78681 (18–25),78767 (26–30),78831 (31–53),78956 (54–196),79083 (197–684),80608 (685 onward). Abandoned base attempt78618 is excluded because its weights were not resumed. History follows exact checkpoint boundaries, excludes aggregate final summaries and any parent steps beyond the selected checkpoint, checks for gaps/conflicting records, preserves allocation provenance as `train/source_job_id`, and records each segment's actual training configuration. Earlier recipe changes are not relabelled as one unchanged configuration. Existing allocation traces remain available. Nine focused tests passed. CPU logger80959 was replaced by80966 through the existing supervisor; trainers were untouched. Chromium fetched and rendered all 973 distinct steps 1–973, plus the full eval curve through800, with no JavaScript errors. Evidence: `operations/trackio-full-history-v5/lineage.json`, `FULL_HISTORY_UI_VERIFIED.json` and `full-history.png`. The combined series updates on the existing60-second logging cadence. ### 2026-09-16T08:18:30.309899+00:00 — async training completed; SETA checkpoint100 evaluated Multi-harness80608 and standalone OpenCode80626 completed1000steps with final checkpoints saved. SETA running132; checkpoint100 native pass@1=34.8% (87/250), versus18.8% baseline. Reconciled completed SETA evaluation artifacts despite a final HF bucket500; CPU controller81027 running, no trainer restart or evaluation resampling. Main best500=37.0%,latest800=27.0%;native best400=26.4%,latest700=23.2%. Main900 and native800 still evaluating; final evaluations outstanding. Trackio full main history1–1000 synced; ten-minute monitor80636 active. Details in HuggingEnvs/04-data-agent/hf/STATUS.md. ## Unified Harbor / OpenCode dashboard — 2026-09-16T08:29:30.124779+00:00 Created the public CPU-basic Trackio Space https://huggingface.co/spaces/HuggingEnvs/data-agent-training-comparison-trackio with persistent bucket storage and project qwen35-2b-harbor-vs-opencode-20260916. Harbor multi-harness and Native OpenCode share one project, identical scalar metric names and optimizer-step axes. Verified2,018exact remote events:2,000training records and18audited baseline/checkpoint records; both run configurations were independently read back. Full optimizer histories contain no gaps. Historical Harbor recipe changes and actual checkpoint lineage are retained; the abandoned base attempt is excluded. Coverage includes overall pass@1,3difficulty cohorts,4harnesses,12harness×difficulty intersections, and all recorded numeric training diagnostics. Baselines remain distinct measured cohorts: original Harbor/E2B14.6% and four-harness Harbor/Daytona15.9% for native checkpoint evaluation. Native standalone8.4% is a different protocol and is not spliced into this curve. Partial/audit-failing evals are withheld. The report, CSV and PNG/SVG/PDF comparison figure are in ../reports/async-comparison-20260916. REPORT.md includes every checkpoint×harness×difficulty count and source hashes, plus dashboard view links with smoothing0. Unauthenticated Chromium verified all1,000steps in both runs and the overview/difficulty/harness/intersection views with no JavaScript errors. Three focused numerical/replay-identity tests passed. Independent CPU publisher81033 checks every60seconds, updates the local report/figure and remote metrics after new audited results appear, and exits after both final1000-step evals are published. It has a48-hour allocation; it does not restart trainers or alter evals. Remote Space report/image files are the timestamped snapshot from this deployment; the live dashboard and local report continue refreshing. Original dashboard remains intact. Canonical scripts: hf/consolidate_async_runs.py and hf/deploy_comparison_trackio.py. Evidence: reports/async-comparison-20260916/sync-receipt.json, UI_VERIFIED.json, submission.json and deployment.json. ## Harbor OpenCode-only run launched — 2026-09-16T09:22:15.494816+00:00 Independent trainer81075 started on hopper-prod at09:20:27UTC after the queue advanced earlier than its initial14:36estimate. Fresh pinned Qwen3.5-2B base; same final stable Harbor recipe as80608,1000-task pool and exact first-pass order,training through OpenCode only. Separate four-harness250×4pass@1 evals every100steps;saves every50.22routing/checkpoint tests and launcher/hash/data preflights passed. Live first-step/TiTO validation is still pending during initialization. CPU controller81077,watchdog81078,offline logger81079 and supervisor81080 follow this allocation;cleanup81076 is restricted to owned sandboxes. Shared dashboard publisher81083 has verified three configurations and2020events,including the new Harbor OpenCode-only baseline and newly completed native checkpoint800. The old reference900/1000evaluators ended with incomplete rollout coverage and remain withheld; they are not running at this timestamp. New training/evaluation state is independent. See [HARBOR_OPENCODE_ONLY.md](../train/HARBOR_OPENCODE_ONLY.md) for the complete recipe and job/source links. ### 2026-09-16 09:27 UTC — Harbor OpenCode-only startup verified Trainer 81075 completed its first four optimizer updates with finite scalars, nonzero gradients and maximum observed staleness 3. Independent TiTO replay passed for all 24 completed rollouts; the consumption join verified all 20 rollouts used by steps 1–4, every admitted row, and all 10,656 supervised tokens. The unified public Trackio publisher has read back the new series through step 4. Checkpoint 50 and evaluation 100 remain ahead; CPU monitoring and the separate-GPU evaluation controller are running. Evidence: `async_grpo_harbor_data_agent/logs/harbor-opencode-only-20260916/startup_verified.json`. ## CPU Basic downgrades and planned SETA checkpoint stop — 2026-09-16 09:35 UTC Harbor and native OpenCode environment Spaces are now verified RUNNING on CPU Basic, with unchanged application bundles and concurrency settings (1,024 transport slots; sandbox capacities 64 and 100). SETA remains on CPU Upgrade until its active synchronous trainer reaches checkpoint 150, to avoid restarting its environment mid-rollout. Its capacity remains 61 with eight training slots reserved. CPU operation 81094 will verify every full-checkpoint file after upload, stop only HF SETA trainer 6aa9b6c9f76d6a098a70e786, downgrade SETA to CPU Basic, and evaluate checkpoint 150 with the unchanged 250-task native SETA pass@1 protocol on an A100 at concurrency 50. The frozen trainer has no remote graceful-stop hook; cancellation follows durable checkpoint readback. The latest training observation is step 145; this is scheduled work, not a completed stop/eval. Twenty-five tests and sixteen subtests passed. The new Harbor OpenCode-only trainer 81075 continues independently. See [SETA_STOP_AND_CPU_BASIC.md](SETA_STOP_AND_CPU_BASIC.md) and its linked live operation report. ## Spaces downgraded; SETA stopped at checkpoint 150 — 2026-09-16 09:48 UTC All three named environment Spaces are verified RUNNING on CPU Basic. Concurrency variables and frozen application bundles are unchanged: MAX_CONCURRENT_ENVS=1024, sandbox capacities Harbor64/native OpenCode100/SETA61, with training reservations16/8/8. Each Space passed 50 concurrent read-only health/deployment requests; this is an HTTP smoke check, not a full rollout throughput benchmark. HF SETA trainer6aa9b6c9f76d6a098a70e786 was intentionally CANCELED at09:45:32UTC after checkpoint150's entire14-file/11.31GB state passed local SHA-256 readback, including model, optimizer, scheduler and RNG. All150 recorded optimizer updates have finite scalars;1,200 training rows passed TiTO, with2,722,792 supervised tokens retained. The saved boundary is150; this is a requested early stop, not a completed1,000-step run. CPU operation81096 is now the final-eval controller. Step150 is pending behind native OpenCode checkpoint1000 evaluator81098 under the existing shared Daytona admission policy; no final score is claimed yet. It will run250fixed native SETA tasks,pass@1,concurrency50,on a separate A100, then persist audited scores and replay them into the stopped trainer's Trackio artifacts. Baseline18.8%,checkpoint10034.8%. Twenty-eight tests and twenty-one subtests passed for the stop/eval/logging path. Harbor OpenCode-only trainer81075 continues independently. [SETA_STOP_AND_CPU_BASIC.md](SETA_STOP_AND_CPU_BASIC.md) links the live operation report, complete checkpoint, hardware receipts and current evaluation status. ## 2026-09-16 14:17 UTC — Final multi-harness checkpoint evaluations restarted Checkpoint 900 (job 81250) and checkpoint 1,000 (81252) started on separate H100s on hopper-dev. The partition permits one GPU per job, so each uses TP1/DP1 and concurrency 50. All model/task/harness/sampling/grading settings remain fixed. Recovery preserves 905 and 3 previously graded cells respectively. An owned-process public-tunnel supervisor addresses the Gradio 404/504 failures; seven regression tests passed. CPU watcher 81254 collects audited results; cleanup jobs are 81251/81253. The active Harbor OpenCode-only trainer is untouched. Evidence: `async_grpo_harbor_data_agent/logs/multi4-long-prod-cont-20260915/operations/eval-recovery-20260916-dev/README.md`.