Run 41a17b33
[manual-retry-of:793f0eef-6e83-4359-a0c0-94469d5cfcae] The previous Claude Code run ended without completing. Pick up where it left off — do not redo work that already finished cleanly.
Original request
[auto-recovery-for:64a794c8-1dc0-44f4-9491-3563c3773c1e] The previous Claude Code run failed or crashed. First diagnose why it stopped using the transcript below. Then fix or work around the problem if possible and continue the original request to a final useful result. Do not repeat completed work. If the root cause is external credentials, unavailable infrastructure, missing human approval, or another issue you cannot safely fix, stop with a concise blocker that includes the evidence and the exact next manual action.
Original request
experiment-orchestrator-for:3ccf4de3-57e2-4e55-a32c-9a58399093cf Drive experiment 077ae4c7-e816-4dd8-a150-ad8fe19cb795 from approved plan through awaiting_promotion. Sub-agents are loaded from .claude/agents/.
Failure or crash reason
Runner stopped during active session (SIGTERM); queued automatic recovery.
Previous run transcript
- 2026-05-13T13:10:43.660Z started: kind=apply - 2026-05-13T13:11:00.990Z failed: Runner stopped during active session (SIGTERM); queued automatic recovery. Previous failure reason: Runner stopped during active session (SIGTERM); queued automatic recovery.
Resume history
This run resumes 64a794c8.
Plan
Goal
Run one balanced 2^5 factorial across five contested factors that prior single-axis experiments could not disentangle, stratified over three source personas (librarian, surgeon, programmer), and rank which factors actually move `[ZLT]` source-rate and off-diagonal leakage under LoRA SFT on Qwen2.5-7B-Instruct. Replaces ad-hoc one-axis sweeps with a single interpretable screen that absorbs the open scope of #361 / #339 / #353 and the still-unrun grid in #46.
Hypothesis
Conditional on the design in the experiment body (96 cells = 3 sources × 32 cells, with seeds 137+256 on the top-3 cells per source), the five factors split into three classes: 1. **Load-bearing (large main effects):** Factor **A** (system-prompt length, short→long) and Factor **E** (loss mask, marker-only→whole-completion) dominate source-rate. A1 raises source-rate; E1 lowers it. Factor **D** (off-policy data) lowers source-rate vs on-policy at matched length. 2. **Non-monotonic / collapsing:** Factor **B** (answer-format length, short→long) collapses source-rate at the long extreme even when system-prompt length is short, replicating #295's null at the long tail. 3. **Near-zero net effect:** Factor **C** (persona vs lexically matched non-persona framing) has near-zero independent main effect on source-rate once A is controlled, but a measurable interaction with A (A×C) carrying most of #337's "persona" signal. For off-diagonal leakage, A1 and E1 both reduce leakage; D1 has the opposite sign to its effect on source-rate.
Prediction
At α=0.05 with question-clustered bootstrap for source-rate and persona-clustered for leakage (per `--bootstrap-cluster-sr question --bootstrap-cluster-lr persona`): - |d(A on SR)| ≥ 0.4 averaged across the three source slabs, sign positive. - |d(E on SR)| ≥ 0.3, sign positive for E0 (marker-only) over E1 (whole-completion). - |d(D on SR)| ≥ 0.2, sign positive for D0 (on-policy) over D1 (off-policy). - |d(B on SR)| ≥ 0.3 at the B1 extreme with a non-monotone shape vs B0. - |d(C on SR)| < 0.15 once A is partialled out. - Pre-registered F1×F2 interaction: A×B yields a measurable interaction term (>2× the next-largest interaction) because the question-prefix tokens for B compete with persona-conditioning context from A. Signs and magnitudes are read off pod 3's `main_effects.json` / `interactions.json` after Phase 4 aggregation.
Kill Criterion
Pull the plug — and treat the screen as uninterpretable — if any of the following fires: 1. **Phase 0 pre-screen fails:** base-model contamination on the 24×20×5 eval panel exceeds the pre-registered threshold (`kill_criterion_4_passed=False` in pod 0). Pod 0 raises `SystemExit` and the run aborts. 2. **Phase 1 smoke fails:** the 8-cell resolution-III fractional factorial on librarian returns verdict ≠ `pass` (e.g. uniform near-zero or saturated source-rates across all 8 cells). Indicates the training recipe or marker setup is broken at the level of the librarian source, so the full 32-cell sweep cannot rank factors. 3. **Sign instability across sources:** after Phase 4 aggregation, ≥3 of the 5 main effects flip sign across the three sources. The 5-factor framing is wrong and we re-scope at the persona-class level before any further dispatch. 4. **All main effects below noise:** all 5 main effects have |Cohen's d| < 0.15 for source-rate AND for leakage across all three sources. The screen has no statistical power at this dataset size; we revisit pos/neg counts or LoRA rank before re-running. 5. **Cost overrun:** any single pod exceeds 24 h wall-time (the `phase4-max-wait-seconds` hard cap), or aggregate spend exceeds ~$160 (≈ 1.5× the planned compute estimate below). Operator stops the run and triages. 6. **Recovery-specific bootstrap silence:** if all four pods reach `RUNNING` but emit zero `5% · bootstrap complete` progress notes within 5 min of `RUNNING`, the operator stops the dispatch (suspected bootstrap-wrapper hang or account-credential flake — see Risks §Recovery context). This is the explicit detector for the failure mode that triggered this auto-recovery.
Experimental Setup
Faithful to the body's design and the persisted `pod_spec` on `experiments.077ae4c7-…`, instantiated by the existing `eps.experiments.marker_factor_screen` entry point. - **Branch / commit:** `experiment-365` @ `b1a24b4b04f92598e381fa3cd207a0fe5d24b9e7` (matches the patched `pod_spec` and the `_factor_screen/` module tree currently on disk under `/home/thomasjiralerspong/explore-persona-space/eps/experiments/`). The runner injects `SAGAN_EPS_BRANCH=experiment-365` and `SAGAN_EPS_COMMIT_SHA=b1a24b4b...` so the bootstrap wrapper checks out the exact commit on each pod. - **Model and tooling:** Qwen2.5-7B-Instruct, LoRA r=32 α=64, lr=1e-5, 3 epochs. 200 positives + 400 negatives per source. 24-persona × 20-question × 5-completion eval panel with `eval_max_new_tokens=2048`. Clustered bootstrap, question-clustered for source-rate, persona-clustered for leakage. - **Pod topology (4 pods, role-distinct):** - **Pod 0** (`librarian`): Phase 0 base-model contamination pre-screen → Phase 1 res-III smoke → Phase 2 full 32-cell librarian slab at seed 42 → Phase 3 multi-seed top-3 librarian cells (seeds 137, 256). Runs `--run-pre-screen --run-smoke`. - **Pod 1** (`surgeon`): Phase 2 32-cell surgeon slab at seed 42 → Phase 3 multi-seed top-3 surgeon cells. No pre-screen/smoke flags (those gate the whole experiment from pod 0). - **Pod 2** (`programmer`): same shape as pod 1 for the programmer slab. - **Pod 3** (`aggregator-and-overflow`): waits up to 24 h for the three slab `metrics.json` files, then builds `main_effects.json`, `interactions.json`, the persona × cell heatmap, and the clean-result HTML. Runs `--role aggregator-and-overflow --build-figures --write-clean-result --label-f1xf2-preregistered`. - **Pre-registration:** the A×B (system-prompt length × answer-format length) interaction is the one pre-registered two-way; the other nine are reported but labeled exploratory in the aggregator output.
Compute and Hardware
**Topology.** Four pods, each 1× A100 80GB. This is a deliberate, multi-pod array under clause (c) — explicit per-pod role isolation — not the discouraged "one-pod-per-source" anti-pattern: - Pods 0/1/2 are the three source slabs and could in principle batch-share one node, but the script's `--pod-index` / `--source-persona` / `--num-pods` contract (`marker_factor_screen.py:69-79, 153-265`) and pod 0's extra Phase 0/1 gates make them heterogeneous workloads with independent kill criteria. - Pod 3 is a long-running stateful aggregator that polls sibling pods' `metrics.json` until they exist; it must outlive any single training process and runs different code (figure-building, no SFT). It would be wasteful to keep a 4-GPU node alive for the ~24 h aggregator wait. Consolidating to a single 4-GPU node would require an `accelerate`-style rewrite of the entry point that does not exist on `experiment-365`. That rewrite is out of scope for this recovery dispatch and is the right shape for a future ablation. **Time and cost.** - Compute: 4 pods × 1 GPU × 18 h × **$1.49/GPU-hr** (A100 80GB SXM, RunPod Secure Cloud, May 2026 reference rate per the system-prompt rate table) ≈ **$107**. - Storage: 4 × (100 GB volume + 100 GB container disk) × 18 h at $0.10/GB-month ≈ **$2**. - **Total estimated spend ≈ $110** (rounded to two significant figures), with a $160 cost-overrun kill at 1.5×. Rates may drift; the auditor's input is the rate stated here. **Substitution policy delta vs prior dispatch.** The persisted `pod_spec.substitution_policy.account.prefer` was `"team"`. For this recovery dispatch, `prefer` is flipped to `"personal"` because both prior team-account dispatches (`15038ff7…` and the `910a65d6…` whose failure triggered this recovery) hit `Pod not found in account=team` at ~10–15 min after reaching `RUNNING`. The personal account remains in `allowed` so future revisions can swap back once the team-account flake is resolved. The script binds one GPU per pod, so `gpuCount` stays pinned to 1. A100/H100/H200 ≥80 GB are all acceptable; Secure preferred over Community.
Artifacts
- **Per-source pod (0/1/2) under `/workspace/runs/365/pod<i>/<source>/`:** `metrics.json`, LoRA adapters under `adapters/`, `figures/` (per-source heatmap, A×B interaction plot, factor-ranking bar chart). - **Pod 0 extras under `/workspace/runs/365/pod0/`:** `pre_screen.json`, `smoke.json`. - **Pod 3 aggregator under `/workspace/runs/365/pod3/`:** `main_effects.json`, `interactions.json`, `aggregate_metrics.json`, `figures/persona_cell_heatmap.svg`, `figures/factor_ranking.svg`, `figures/AxB_interaction.svg`, `clean_result.html` (the experiment-page `body`). - **Sagan-side:** new `experiments.body` HTML written by `--write-clean-result` and the aggregator figures uploaded as `html_artifact` / `image` figures linked to experiment #365.
Verification
Pre-flight (operator does this before re-dispatch and at first progress-tick): 1. **Spec parity check.** Diff this plan's `runpod-spec` against the persisted `experiments.077ae4c7…pod_spec`: identical except for `substitution_policy.account.prefer` (`"team"` → `"personal"`). No other field changes. 2. **Bootstrap progress check.** Within 5 min of each pod reaching `RUNNING`, the runner expects a `5% · bootstrap complete` progress event from each of the four pods. If zero pods emit it (the recovery-trigger failure mode), abort and SSH into one pod to tail `journalctl` and the bootstrap wrapper log before retrying. 3. **Phase 0/1 gates.** Pod 0 must emit `kill_pre_screen` verdict=`passed` and `kill_smoke` verdict=`pass` before pods 1/2/3 are allowed to consume significant compute. The script raises `SystemExit` on failure; the runner surfaces that as a hard stop. Post-run (operator checks before declaring the screen interpretable): 4. `main_effects.json` reports five main effects with bootstrap CIs and Cohen's d for both source-rate and leakage. All three sources represented in the underlying slab summaries. 5. `interactions.json` reports all ten two-way interactions with the A×B row carrying a `pre_registered: true` flag. 6. `clean_result.html` follows `docs/clean-result-guidelines.md` (TL;DR → primary plot → Experimental design dropdown) and is attached to `experiments.body` on experiment #365.
Risks and Red Team
**Risk 1 — multi-pod partial-dispatch sensitivity.** Per the system prompt, partial dispatch of a multi-pod array is treated as a hard failure; this is what happened at 08:56 (2/4 came up). The substitution policy below allows the provisioner to fall back to community cloud or back to the team account; if capacity is still tight, the operator should consider running pod 0 alone as a 1-pod smoke before fanning out. **Risk 2 — recurring team-account vanishing (the recovery trigger).** Two prior team-account dispatches (`15038ff7…` and `910a65d6…`) hit `Pod not found in account=team` 10–15 min after all four pods reported `RUNNING`. Root cause is still ambiguous (team-account credentials event vs. bootstrap-wrapper hang vs. RunPod team-account inventory drift). This recovery dispatch flips `account.prefer` to `personal` so we exercise a different surface. If the same vanishing fires under `personal`, the failure is upstream of the account choice and the operator should SSH into one pod to tail `journalctl` / wrapper logs before any further retry, per the prior planner's recommendation. Verification step 2 is the explicit detector. **Risk 3 — single-seed factor ranks.** Most cells run at seed 42 only; multi-seed coverage is restricted to the top-3 per source. A factor ranked 2nd or 3rd whose true effect is borderline could swap with a 4th-ranked factor under seed noise. We accept this risk because broadening multi-seed to all 32×3 cells multiplies compute by 3× and is out of cost scope. **Risk 4 — F1×F2 pre-registration vs the other 9 interactions.** With 10 two-way interactions reported and a single one pre-registered, multiple-comparison hygiene matters. The aggregator labels exploratory interactions accordingly; we do not claim significance for any exploratory interaction without a confirmatory experiment. **Risk 5 — A/B confound on user-message tokens.** Even though B is induced by a natural format instruction, the instruction tokens still live inside the user message and could shift attention patterns independent of completion length. This is a genuine confound the screen cannot fully separate; the A×B interaction term is the diagnostic and is pre-registered for that reason. **Critique loop notes.** This is a re-finalization of an owner-approved design (the planJson is fully populated and the design body has been stable across multiple rounds). The scientific design is unchanged from the prior approved plan; the only delta is `runpod-spec.substitution_policy.account.prefer` flipping from `"team"` to `"personal"` plus the corresponding addition of kill criterion #6 (bootstrap-silence detector) and Verification step 2. I ran the consistency check internally rather than the full paired-critic loop because (a) the design is owner-approved, (b) the open question is purely whether the `runpod-spec` matches the patched DB state and the script's CLI contract, and (c) the script's `parse_args` (`marker_factor_screen.py:62-138`) was re-verified against each pod's `dockerArgs`. Loops run: 0 (re-finalize); merged verdict: pass for methodology, statistics, and alternative-explanations because no design field changed; no follow-ups intentionally dropped. If a future revision changes any scientific field, that revision should re-enter the full paired-critic loop.
Likely Clean Result
A `body` HTML on experiment #365 following `docs/clean-result-guidelines.md`: - **TL;DR (single paragraph in first person):** "I ran a balanced 2^5 factorial across five marker-implantation factors on three source personas. System-prompt length and loss-mask scope were the two load-bearing knobs, both with Cohen's d > 0.4 on source-rate; persona framing had near-zero independent effect once length was controlled, confirming #340. Long answer-format prompts collapsed source-rate at the extreme, replicating #295. Off-policy data lost ~0.2 d of source-rate vs on-policy at matched length." - **Primary plot:** a single bar chart of the five main-effect Cohen's d's on source-rate with 95% bootstrap CIs, ordered largest-to-smallest, with plain-English axis labels ("system-prompt length", "loss masks marker only", etc.) and SVG `<title>` hover tooltips carrying the underlying mean and CI. - **Experimental design dropdown:** the 32-cell factor table, the 3-source stratification, the seed plan, the bootstrap scheme, and the kill-criterion list — collapsed by default. Sections deliberately omitted per the clean-result guidelines: separate Background / Methodology h2s, standing caveats, references to the abandoned single-axis sweeps, and the additional per-source heatmaps (those live as linked figures, not in the body).
Approval Checklist
- [x] **Goal** matches the experiment record title and absorbs the open scope of #361 / #339 / #353 / #46. - [x] **Hypothesis** is specific: five factors split into three classes with signed predictions for each. - [x] **Prediction** is falsifiable: numeric Cohen's d thresholds with α=0.05 and a named bootstrap scheme. - [x] **Kill criterion** has six concrete triggers, including the new bootstrap-silence detector that directly responds to the recovery-trigger failure mode. - [x] **Compute and Hardware** estimates 4 × 1 × 18 h × $1.49 ≈ $107 compute + ~$2 storage = **~$110 total** at A100 80GB SXM Secure Cloud rates; cost-overrun kill at $160. Multi-pod array is justified under clause (c) per-pod role isolation; consolidation deferred to a future ablation. - [x] **Artifacts** enumerated per-pod and aggregator with `/workspace/runs/365/...` paths matching the script's directory contract. - [x] **Verification** covers spec parity, the bootstrap-progress detector, Phase 0/1 kill gates, and the aggregator's required JSONs / clean-result HTML. - [x] **Risks** explicitly cover the team-account vanishing failure that triggered this recovery and document the rationale for flipping `account.prefer` to `personal`. - [x] **Likely clean result** follows `docs/clean-result-guidelines.md` (TL;DR → primary plot → design dropdown, first-person voice, no standing caveats). - [x] **`runpod-spec` matches the plan**: 4 pods, A100 80GB Secure Cloud preferred, single-GPU per pod, `account.prefer=personal` with `team` retained in `allowed`, and per-pod `dockerArgs` identical to the persisted `experiments.077ae4c7…pod_spec` save for that one substitution-policy field. ```runpod-spec [ { "name": "marker-screen-365-pod0-pre-and-source-librarian", "gpuType": "A100", "gpuCount": 1, "volumeGb": 100, "containerDiskGb": 100, "cloudType": "SECURE", "estimatedMinutes": 1080, "env": { "SAGAN_EPS_BRANCH": "experiment-365", "SAGAN_EPS_COMMIT_SHA": "b1a24b4b04f92598e381fa3cd207a0fe5d24b9e7" }, "dockerArgs": "bash -lc 'set -euo pipefail; cd /workspace/explore-persona-space && uv run python -m eps.experiments.marker_factor_screen --pod-index 0 --num-pods 4 --source-persona librarian --base-model Qwen/Qwen2.5-7B-Instruct --intent lora-7b --lora-r 32 --lora-alpha 64 --lr 1e-5 --epochs 3 --pos-per-source 200 --neg-per-source 400 --eval-personas 24 --eval-questions 20 --eval-completions 5 --primary-seed 42 --multi-seeds 137,256 --bootstrap-scheme clustered --bootstrap-cluster-sr question --bootstrap-cluster-lr persona --run-pre-screen --run-smoke --progress-url \"$SAGAN_PROGRESS_URL\" --progress-token \"$SAGAN_POD_PROGRESS_TOKEN\" --agent-run-id \"$SAGAN_AGENT_RUN_ID\" --experiment-id \"$SAGAN_EXPERIMENT_ID\" --run-index \"$SAGAN_RUN_INDEX\"'", "config": { "command": "Pod 0: Phase 0 base-model contamination pre-screen on 24x20x5 eval panel + Phase 1 8-cell res-III librarian smoke (kill gates only) + Phase 2 32-cell librarian slab at primary seed + Phase 3 multi-seed top-3 librarian cells (seeds 137, 256). Clustered bootstrap (question-clustered SR, persona-clustered LR).", "artifacts": [ "/workspace/runs/365/pod0/pre_screen.json", "/workspace/runs/365/pod0/smoke.json", "/workspace/runs/365/pod0/librarian/metrics.json", "/workspace/runs/365/pod0/librarian/adapters/", "/workspace/runs/365/pod0/figures/" ] }, "substitution_policy": { "gpuType": { "allowed": ["A100", "A100-SXM", "H100", "H200"], "min_vram_gb": 80 }, "gpuCount": { "min": 1, "max": 1 }, "cloudType": { "allowed": ["SECURE", "COMMUNITY"], "prefer": "SECURE" }, "dataCenterId": { "allowed": "any" }, "account": { "allowed": ["personal", "team"], "prefer": "personal" }, "volumeGb": { "min": 100 }, "containerDiskGb": { "min": 100 } }, "consolidation": { "may_merge_pods": false, "merge_target_max_gpus_per_pod": 1 } }, { "name": "marker-screen-365-pod1-source-surgeon", "gpuType": "A100", "gpuCount": 1, "volumeGb": 100, "containerDiskGb": 100, "cloudType": "SECURE", "estimatedMinutes": 1080, "env": { "SAGAN_EPS_BRANCH": "experiment-365", "SAGAN_EPS_COMMIT_SHA": "b1a24b4b04f92598e381fa3cd207a0fe5d24b9e7" }, "dockerArgs": "bash -lc 'set -euo pipefail; cd /workspace/explore-persona-space && uv run python -m eps.experiments.marker_factor_screen --pod-index 1 --num-pods 4 --source-persona surgeon --base-model Qwen/Qwen2.5-7B-Instruct --intent lora-7b --lora-r 32 --lora-alpha 64 --lr 1e-5 --epochs 3 --pos-per-source 200 --neg-per-source 400 --eval-personas 24 --eval-questions 20 --eval-completions 5 --primary-seed 42 --multi-seeds 137,256 --bootstrap-scheme clustered --bootstrap-cluster-sr question --bootstrap-cluster-lr persona --progress-url \"$SAGAN_PROGRESS_URL\" --progress-token \"$SAGAN_POD_PROGRESS_TOKEN\" --agent-run-id \"$SAGAN_AGENT_RUN_ID\" --experiment-id \"$SAGAN_EXPERIMENT_ID\" --run-index \"$SAGAN_RUN_INDEX\"'", "config": { "command": "Pod 1: Phase 2 32-cell surgeon slab at primary seed 42 + Phase 3 multi-seed top-3 surgeon cells (seeds 137, 256). Clustered bootstrap (question-clustered SR, persona-clustered LR).", "artifacts": [ "/workspace/runs/365/pod1/surgeon/metrics.json", "/workspace/runs/365/pod1/surgeon/adapters/", "/workspace/runs/365/pod1/figures/" ] }, "substitution_policy": { "gpuType": { "allowed": ["A100", "A100-SXM", "H100", "H200"], "min_vram_gb": 80 }, "gpuCount": { "min": 1, "max": 1 }, "cloudType": { "allowed": ["SECURE", "COMMUNITY"], "prefer": "SECURE" }, "dataCenterId": { "allowed": "any" }, "account": { "allowed": ["personal", "team"], "prefer": "personal" }, "volumeGb": { "min": 100 }, "containerDiskGb": { "min": 100 } }, "consolidation": { "may_merge_pods": false, "merge_target_max_gpus_per_pod": 1 } }, { "name": "marker-screen-365-pod2-source-programmer", "gpuType": "A100", "gpuCount": 1, "volumeGb": 100, "containerDiskGb": 100, "cloudType": "SECURE", "estimatedMinutes": 1080, "env": { "SAGAN_EPS_BRANCH": "experiment-365", "SAGAN_EPS_COMMIT_SHA": "b1a24b4b04f92598e381fa3cd207a0fe5d24b9e7" }, "dockerArgs": "bash -lc 'set -euo pipefail; cd /workspace/explore-persona-space && uv run python -m eps.experiments.marker_factor_screen --pod-index 2 --num-pods 4 --source-persona programmer --base-model Qwen/Qwen2.5-7B-Instruct --intent lora-7b --lora-r 32 --lora-alpha 64 --lr 1e-5 --epochs 3 --pos-per-source 200 --neg-per-source 400 --eval-personas 24 --eval-questions 20 --eval-completions 5 --primary-seed 42 --multi-seeds 137,256 --bootstrap-scheme clustered --bootstrap-cluster-sr question --bootstrap-cluster-lr persona --progress-url \"$SAGAN_PROGRESS_URL\" --progress-token \"$SAGAN_POD_PROGRESS_TOKEN\" --agent-run-id \"$SAGAN_AGENT_RUN_ID\" --experiment-id \"$SAGAN_EXPERIMENT_ID\" --run-index \"$SAGAN_RUN_INDEX\"'", "config": { "command": "Pod 2: Phase 2 32-cell programmer slab at primary seed 42 + Phase 3 multi-seed top-3 programmer cells (seeds 137, 256). Clustered bootstrap (question-clustered SR, persona-clustered LR).", "artifacts": [ "/workspace/runs/365/pod2/programmer/metrics.json", "/workspace/runs/365/pod2/programmer/adapters/", "/workspace/runs/365/pod2/figures/" ] }, "substitution_policy": { "gpuType": { "allowed": ["A100", "A100-SXM", "H100", "H200"], "min_vram_gb": 80 }, "gpuCount": { "min": 1, "max": 1 }, "cloudType": { "allowed": ["SECURE", "COMMUNITY"], "prefer": "SECURE" }, "dataCenterId": { "allowed": "any" }, "account": { "allowed": ["personal", "team"], "prefer": "personal" }, "volumeGb": { "min": 100 }, "containerDiskGb": { "min": 100 } }, "consolidation": { "may_merge_pods": false, "merge_target_max_gpus_per_pod": 1 } }, { "name": "marker-screen-365-pod3-aggregator-and-overflow", "gpuType": "A100", "gpuCount": 1, "volumeGb": 100, "containerDiskGb": 100, "cloudType": "SECURE", "estimatedMinutes": 1080, "env": { "SAGAN_EPS_BRANCH": "experiment-365", "SAGAN_EPS_COMMIT_SHA": "b1a24b4b04f92598e381fa3cd207a0fe5d24b9e7" }, "dockerArgs": "bash -lc 'set -euo pipefail; cd /workspace/explore-persona-space && uv run python -m eps.experiments.marker_factor_screen --pod-index 3 --num-pods 4 --role aggregator-and-overflow --base-model Qwen/Qwen2.5-7B-Instruct --intent lora-7b --lora-r 32 --lora-alpha 64 --lr 1e-5 --epochs 3 --eval-personas 24 --eval-questions 20 --eval-completions 5 --primary-seed 42 --multi-seeds 137,256 --bootstrap-scheme clustered --bootstrap-cluster-sr question --bootstrap-cluster-lr persona --build-figures --write-clean-result --label-f1xf2-preregistered --progress-url \"$SAGAN_PROGRESS_URL\" --progress-token \"$SAGAN_POD_PROGRESS_TOKEN\" --agent-run-id \"$SAGAN_AGENT_RUN_ID\" --experiment-id \"$SAGAN_EXPERIMENT_ID\" --run-index \"$SAGAN_RUN_INDEX\"'", "config": { "command": "Pod 3: Phase 4 aggregator. Waits up to 24h for pods 0/1/2 metrics.json files, then builds main_effects.json, interactions.json (with A x B pre-registered), the persona x cell heatmap, the factor-ranking bar chart, the A x B interaction plot, and the clean-result HTML attached to experiments.body.", "artifacts": [ "/workspace/runs/365/pod3/main_effects.json", "/workspace/runs/365/pod3/interactions.json", "/workspace/runs/365/pod3/aggregate_metrics.json", "/workspace/runs/365/pod3/figures/persona_cell_heatmap.svg", "/workspace/runs/365/pod3/figures/factor_ranking.svg", "/workspace/runs/365/pod3/figures/AxB_interaction.svg", "/workspace/runs/365/pod3/clean_result.html" ] }, "substitution_policy": { "gpuType": { "allowed": ["A100", "A100-SXM", "H100", "H200"], "min_vram_gb": 80 }, "gpuCount": { "min": 1, "max": 1 }, "cloudType": { "allowed": ["SECURE", "COMMUNITY"], "prefer": "SECURE" }, "dataCenterId": { "allowed": "any" }, "account": { "allowed": ["personal", "team"], "prefer": "personal" }, "volumeGb": { "min": 100 }, "containerDiskGb": { "min": 100 } }, "consolidation": { "may_merge_pods": false, "merge_target_max_gpus_per_pod": 1 } } ] ``` **Recovery summary.** Diagnosed the failure as the recurring team-account post-RUNNING vanishing (Risk 2 from the prior plan). Re-emitted the owner-approved 4-pod plan unchanged except for: (1) `substitution_policy.account.prefer` flipped from `team` to `personal`; (2) kill criterion #6 added as an explicit detector for the same failure mode under the new account; (3) Verification step 2 documents the 5-min bootstrap-progress check. The persisted `experiments.077ae4c7…pod_spec` already has `personal` in `account.allowed`, so this is a scope-preserving recovery, not a design change.
I have enough context. The previous direct-dispatch failed because all 4 RunPod pods successfully reached RUNNING on the team account, then simultaneously disappeared from inventory ~11 min later — the exact recurring failure mode the prior planner flagged as Risk 2. The persisted substitution_policy already allows personal as a fallback, but prefer="team" keeps re-dispatching into the failing surface. The minimal scope-preserving fix is to flip account.prefer to personal for this recovery dispatch and re-emit the otherwise unchanged owner-approved plan.
Goal
Run one balanced 2^5 factorial across five contested factors that prior single-axis experiments could not disentangle, stratified over three source personas (librarian, surgeon, programmer), and rank which factors actually move [ZLT] source-rate and off-diagonal leakage under LoRA SFT on Qwen2.5-7B-Instruct. Replaces ad-hoc one-axis sweeps with a single interpretable screen that absorbs the open scope of #361 / #339 / #353 and the still-unrun grid in #46.
Hypothesis
Conditional on the design in the experiment body (96 cells = 3 sources × 32 cells, with seeds 137+256 on the top-3 cells per source), the five factors split into three classes:
- Load-bearing (large main effects): Factor A (system-prompt length, short→long) and Factor E (loss mask, marker-only→whole-completion) dominate source-rate. A1 raises source-rate; E1 lowers it. Factor D (off-policy data) lowers source-rate vs on-policy at matched length.
- Non-monotonic / collapsing: Factor B (answer-format length, short→long) collapses source-rate at the long extreme even when system-prompt length is short, replicating #295's null at the long tail.
- Near-zero net effect: Factor C (persona vs lexically matched non-persona framing) has near-zero independent main effect on source-rate once A is controlled, but a measurable interaction with A (A×C) carrying most of #337's "persona" signal.
For off-diagonal leakage, A1 and E1 both reduce leakage; D1 has the opposite sign to its effect on source-rate.
Prediction
At α=0.05 with question-clustered bootstrap for source-rate and persona-clustered for leakage (per --bootstrap-cluster-sr question --bootstrap-cluster-lr persona):
- |d(A on SR)| ≥ 0.4 averaged across the three source slabs, sign positive.
- |d(E on SR)| ≥ 0.3, sign positive for E0 (marker-only) over E1 (whole-completion).
- |d(D on SR)| ≥ 0.2, sign positive for D0 (on-policy) over D1 (off-policy).
- |d(B on SR)| ≥ 0.3 at the B1 extreme with a non-monotone shape vs B0.
- |d(C on SR)| < 0.15 once A is partialled out.
- Pre-registered F1×F2 interaction: A×B yields a measurable interaction term (>2× the next-largest interaction) because the question-prefix tokens for B compete with persona-conditioning context from A.
Signs and magnitudes are read off pod 3's main_effects.json / interactions.json after Phase 4 aggregation.
Kill Criterion
Pull the plug — and treat the screen as uninterpretable — if any of the following fires:
- Phase 0 pre-screen fails: base-model contamination on the 24×20×5 eval panel exceeds the pre-registered threshold (
kill_criterion_4_passed=Falsein pod 0). Pod 0 raisesSystemExitand the run aborts. - Phase 1 smoke fails: the 8-cell resolution-III fractional factorial on librarian returns verdict ≠
pass(e.g. uniform near-zero or saturated source-rates across all 8 cells). Indicates the training recipe or marker setup is broken at the level of the librarian source, so the full 32-cell sweep cannot rank factors. - Sign instability across sources: after Phase 4 aggregation, ≥3 of the 5 main effects flip sign across the three sources. The 5-factor framing is wrong and we re-scope at the persona-class level before any further dispatch.
- All main effects below noise: all 5 main effects have |Cohen's d| < 0.15 for source-rate AND for leakage across all three sources. The screen has no statistical power at this dataset size; we revisit pos/neg counts or LoRA rank before re-running.
- Cost overrun: any single pod exceeds 24 h wall-time (the
phase4-max-wait-secondshard cap), or aggregate spend exceeds ~$160 (≈ 1.5× the planned compute estimate below). Operator stops the run and triages. - Recovery-specific bootstrap silence: if all four pods reach
RUNNINGbut emit zero5% · bootstrap completeprogress notes within 5 min ofRUNNING, the operator stops the dispatch (suspected bootstrap-wrapper hang or account-credential flake — see Risks §Recovery context). This is the explicit detector for the failure mode that triggered this auto-recovery.
Experimental Setup
Faithful to the body's design and the persisted pod_spec on experiments.077ae4c7-…, instantiated by the existing eps.experiments.marker_factor_screen entry point.
- Branch / commit:
experiment-365@b1a24b4b04f92598e381fa3cd207a0fe5d24b9e7(matches the patchedpod_specand the_factor_screen/module tree currently on disk under/home/thomasjiralerspong/explore-persona-space/eps/experiments/). The runner injectsSAGAN_EPS_BRANCH=experiment-365andSAGAN_EPS_COMMIT_SHA=b1a24b4b...so the bootstrap wrapper checks out the exact commit on each pod. - Model and tooling: Qwen2.5-7B-Instruct, LoRA r=32 α=64, lr=1e-5, 3 epochs. 200 positives + 400 negatives per source. 24-persona × 20-question × 5-completion eval panel with
eval_max_new_tokens=2048. Clustered bootstrap, question-clustered for source-rate, persona-clustered for leakage. - Pod topology (4 pods, role-distinct):
- Pod 0 (
librarian): Phase 0 base-model contamination pre-screen → Phase 1 res-III smoke → Phase 2 full 32-cell librarian slab at seed 42 → Phase 3 multi-seed top-3 librarian cells (seeds 137, 256). Runs--run-pre-screen --run-smoke. - Pod 1 (
surgeon): Phase 2 32-cell surgeon slab at seed 42 → Phase 3 multi-seed top-3 surgeon cells. No pre-screen/smoke flags (those gate the whole experiment from pod 0). - Pod 2 (
programmer): same shape as pod 1 for the programmer slab. - Pod 3 (
aggregator-and-overflow): waits up to 24 h for the three slabmetrics.jsonfiles, then buildsmain_effects.json,interactions.json, the persona × cell heatmap, and the clean-result HTML. Runs--role aggregator-and-overflow --build-figures --write-clean-result --label-f1xf2-preregistered.
- Pod 0 (
- Pre-registration: the A×B (system-prompt length × answer-format length) interaction is the one pre-registered two-way; the other nine are reported but labeled exploratory in the aggregator output.
Compute and Hardware
Topology. Four pods, each 1× A100 80GB. This is a deliberate, multi-pod array under clause (c) — explicit per-pod role isolation — not the discouraged "one-pod-per-source" anti-pattern:
- Pods 0/1/2 are the three source slabs and could in principle batch-share one node, but the script's
--pod-index/--source-persona/--num-podscontract (marker_factor_screen.py:69-79, 153-265) and pod 0's extra Phase 0/1 gates make them heterogeneous workloads with independent kill criteria. - Pod 3 is a long-running stateful aggregator that polls sibling pods'
metrics.jsonuntil they exist; it must outlive any single training process and runs different code (figure-building, no SFT). It would be wasteful to keep a 4-GPU node alive for the ~24 h aggregator wait.
Consolidating to a single 4-GPU node would require an accelerate-style rewrite of the entry point that does not exist on experiment-365. That rewrite is out of scope for this recovery dispatch and is the right shape for a future ablation.
Time and cost.
- Compute: 4 pods × 1 GPU × 18 h × $1.49/GPU-hr (A100 80GB SXM, RunPod Secure Cloud, May 2026 reference rate per the system-prompt rate table) ≈ $107.
- Storage: 4 × (100 GB volume + 100 GB container disk) × 18 h at $0.10/GB-month ≈ $2.
- Total estimated spend ≈ $110 (rounded to two significant figures), with a $160 cost-overrun kill at 1.5×.
Rates may drift; the auditor's input is the rate stated here.
Substitution policy delta vs prior dispatch. The persisted pod_spec.substitution_policy.account.prefer was "team". For this recovery dispatch, prefer is flipped to "personal" because both prior team-account dispatches (15038ff7… and the 910a65d6… whose failure triggered this recovery) hit Pod not found in account=team at ~10–15 min after reaching RUNNING. The personal account remains in allowed so future revisions can swap back once the team-account flake is resolved. The script binds one GPU per pod, so gpuCount stays pinned to 1. A100/H100/H200 ≥80 GB are all acceptable; Secure preferred over Community.
Artifacts
- Per-source pod (0/1/2) under
/workspace/runs/365/pod<i>/<source>/:metrics.json, LoRA adapters underadapters/,figures/(per-source heatmap, A×B interaction plot, factor-ranking bar chart). - Pod 0 extras under
/workspace/runs/365/pod0/:pre_screen.json,smoke.json. - Pod 3 aggregator under
/workspace/runs/365/pod3/:main_effects.json,interactions.json,aggregate_metrics.json,figures/persona_cell_heatmap.svg,figures/factor_ranking.svg,figures/AxB_interaction.svg,clean_result.html(the experiment-pagebody). - Sagan-side: new
experiments.bodyHTML written by--write-clean-resultand the aggregator figures uploaded ashtml_artifact/imagefigures linked to experiment #365.
Verification
Pre-flight (operator does this before re-dispatch and at first progress-tick):
- Spec parity check. Diff this plan's
runpod-specagainst the persistedexperiments.077ae4c7…pod_spec: identical except forsubstitution_policy.account.prefer("team"→"personal"). No other field changes. - Bootstrap progress check. Within 5 min of each pod reaching
RUNNING, the runner expects a5% · bootstrap completeprogress event from each of the four pods. If zero pods emit it (the recovery-trigger failure mode), abort and SSH into one pod to tailjournalctland the bootstrap wrapper log before retrying. - Phase 0/1 gates. Pod 0 must emit
kill_pre_screenverdict=passedandkill_smokeverdict=passbefore pods 1/2/3 are allowed to consume significant compute. The script raisesSystemExiton failure; the runner surfaces that as a hard stop.
Post-run (operator checks before declaring the screen interpretable):
main_effects.jsonreports five main effects with bootstrap CIs and Cohen's d for both source-rate and leakage. All three sources represented in the underlying slab summaries.interactions.jsonreports all ten two-way interactions with the A×B row carrying apre_registered: trueflag.clean_result.htmlfollowsdocs/clean-result-guidelines.md(TL;DR → primary plot → Experimental design dropdown) and is attached toexperiments.bodyon experiment #365.
Risks and Red Team
Risk 1 — multi-pod partial-dispatch sensitivity. Per the system prompt, partial dispatch of a multi-pod array is treated as a hard failure; this is what happened at 08:56 (2/4 came up). The substitution policy below allows the provisioner to fall back to community cloud or back to the team account; if capacity is still tight, the operator should consider running pod 0 alone as a 1-pod smoke before fanning out.
Risk 2 — recurring team-account vanishing (the recovery trigger). Two prior team-account dispatches (15038ff7… and 910a65d6…) hit Pod not found in account=team 10–15 min after all four pods reported RUNNING. Root cause is still ambiguous (team-account credentials event vs. bootstrap-wrapper hang vs. RunPod team-account inventory drift). This recovery dispatch flips account.prefer to personal so we exercise a different surface. If the same vanishing fires under personal, the failure is upstream of the account choice and the operator should SSH into one pod to tail journalctl / wrapper logs before any further retry, per the prior planner's recommendation. Verification step 2 is the explicit detector.
Risk 3 — single-seed factor ranks. Most cells run at seed 42 only; multi-seed coverage is restricted to the top-3 per source. A factor ranked 2nd or 3rd whose true effect is borderline could swap with a 4th-ranked factor under seed noise. We accept this risk because broadening multi-seed to all 32×3 cells multiplies compute by 3× and is out of cost scope.
Risk 4 — F1×F2 pre-registration vs the other 9 interactions. With 10 two-way interactions reported and a single one pre-registered, multiple-comparison hygiene matters. The aggregator labels exploratory interactions accordingly; we do not claim significance for any exploratory interaction without a confirmatory experiment.
Risk 5 — A/B confound on user-message tokens. Even though B is induced by a natural format instruction, the instruction tokens still live inside the user message and could shift attention patterns independent of completion length. This is a genuine confound the screen cannot fully separate; the A×B interaction term is the diagnostic and is pre-registered for that reason.
Critique loop notes. This is a re-finalization of an owner-approved design (the planJson is fully populated and the design body has been stable across multiple rounds). The scientific design is unchanged from the prior approved plan; the only delta is runpod-spec.substitution_policy.account.prefer flipping from "team" to "personal" plus the corresponding addition of kill criterion #6 (bootstrap-silence detector) and Verification step 2. I ran the consistency check internally rather than the full paired-critic loop because (a) the design is owner-approved, (b) the open question is purely whether the runpod-spec matches the patched DB state and the script's CLI contract, and (c) the script's parse_args (marker_factor_screen.py:62-138) was re-verified against each pod's dockerArgs. Loops run: 0 (re-finalize); merged verdict: pass for methodology, statistics, and alternative-explanations because no design field changed; no follow-ups intentionally dropped. If a future revision changes any scientific field, that revision should re-enter the full paired-critic loop.
Likely Clean Result
A body HTML on experiment #365 following docs/clean-result-guidelines.md:
- TL;DR (single paragraph in first person): "I ran a balanced 2^5 factorial across five marker-implantation factors on three source personas. System-prompt length and loss-mask scope were the two load-bearing knobs, both with Cohen's d > 0.4 on source-rate; persona framing had near-zero independent effect once length was controlled, confirming #340. Long answer-format prompts collapsed source-rate at the extreme, replicating #295. Off-policy data lost ~0.2 d of source-rate vs on-policy at matched length."
- Primary plot: a single bar chart of the five main-effect Cohen's d's on source-rate with 95% bootstrap CIs, ordered largest-to-smallest, with plain-English axis labels ("system-prompt length", "loss masks marker only", etc.) and SVG
<title>hover tooltips carrying the underlying mean and CI. - Experimental design dropdown: the 32-cell factor table, the 3-source stratification, the seed plan, the bootstrap scheme, and the kill-criterion list — collapsed by default.
Sections deliberately omitted per the clean-result guidelines: separate Background / Methodology h2s, standing caveats, references to the abandoned single-axis sweeps, and the additional per-source heatmaps (those live as linked figures, not in the body).
Approval Checklist
- Goal matches the experiment record title and absorbs the open scope of #361 / #339 / #353 / #46.
- Hypothesis is specific: five factors split into three classes with signed predictions for each.
- Prediction is falsifiable: numeric Cohen's d thresholds with α=0.05 and a named bootstrap scheme.
- Kill criterion has six concrete triggers, including the new bootstrap-silence detector that directly responds to the recovery-trigger failure mode.
- Compute and Hardware estimates 4 × 1 × 18 h × $1.49 ≈ $107 compute + ~$2 storage = ~$110 total at A100 80GB SXM Secure Cloud rates; cost-overrun kill at $160. Multi-pod array is justified under clause (c) per-pod role isolation; consolidation deferred to a future ablation.
- Artifacts enumerated per-pod and aggregator with
/workspace/runs/365/...paths matching the script's directory contract. - Verification covers spec parity, the bootstrap-progress detector, Phase 0/1 kill gates, and the aggregator's required JSONs / clean-result HTML.
- Risks explicitly cover the team-account vanishing failure that triggered this recovery and document the rationale for flipping
account.prefertopersonal. - Likely clean result follows
docs/clean-result-guidelines.md(TL;DR → primary plot → design dropdown, first-person voice, no standing caveats). -
runpod-specmatches the plan: 4 pods, A100 80GB Secure Cloud preferred, single-GPU per pod,account.prefer=personalwithteamretained inallowed, and per-poddockerArgsidentical to the persistedexperiments.077ae4c7…pod_specsave for that one substitution-policy field.
[
{
"name": "marker-screen-365-pod0-pre-and-source-librarian",
"gpuType": "A100",
"gpuCount": 1,
"volumeGb": 100,
"containerDiskGb": 100,
"cloudType": "SECURE",
"estimatedMinutes": 1080,
"env": {
"SAGAN_EPS_BRANCH": "experiment-365",
"SAGAN_EPS_COMMIT_SHA": "b1a24b4b04f92598e381fa3cd207a0fe5d24b9e7"
},
"dockerArgs": "bash -lc 'set -euo pipefail; cd /workspace/explore-persona-space && uv run python -m eps.experiments.marker_factor_screen --pod-index 0 --num-pods 4 --source-persona librarian --base-model Qwen/Qwen2.5-7B-Instruct --intent lora-7b --lora-r 32 --lora-alpha 64 --lr 1e-5 --epochs 3 --pos-per-source 200 --neg-per-source 400 --eval-personas 24 --eval-questions 20 --eval-completions 5 --primary-seed 42 --multi-seeds 137,256 --bootstrap-scheme clustered --bootstrap-cluster-sr question --bootstrap-cluster-lr persona --run-pre-screen --run-smoke --progress-url \"$SAGAN_PROGRESS_URL\" --progress-token \"$SAGAN_POD_PROGRESS_TOKEN\" --agent-run-id \"$SAGAN_AGENT_RUN_ID\" --experiment-id \"$SAGAN_EXPERIMENT_ID\" --run-index \"$SAGAN_RUN_INDEX\"'",
"config": {
"command": "Pod 0: Phase 0 base-model contamination pre-screen on 24x20x5 eval panel + Phase 1 8-cell res-III librarian smoke (kill gates only) + Phase 2 32-cell librarian slab at primary seed + Phase 3 multi-seed top-3 librarian cells (seeds 137, 256). Clustered bootstrap (question-clustered SR, persona-clustered LR).",
"artifacts": [
"/workspace/runs/365/pod0/pre_screen.json",
"/workspace/runs/365/pod0/smoke.json",
"/workspace/runs/365/pod0/librarian/metrics.json",
"/workspace/runs/365/pod0/librarian/adapters/",
"/workspace/runs/365/pod0/figures/"
]
},
"substitution_policy": {
"gpuType": { "allowed": ["A100", "A100-SXM", "H100", "H200"], "min_vram_gb": 80 },
"gpuCount": { "min": 1, "max": 1 },
"cloudType": { "allowed": ["SECURE", "COMMUNITY"], "prefer": "SECURE" },
"dataCenterId": { "allowed": "any" },
"account": { "allowed": ["personal", "team"], "prefer": "personal" },
"volumeGb": { "min": 100 },
"containerDiskGb": { "min": 100 }
},
"consolidation": {
"may_merge_pods": false,
"merge_target_max_gpus_per_pod": 1
}
},
{
"name": "marker-screen-365-pod1-source-surgeon",
"gpuType": "A100",
"gpuCount": 1,
"volumeGb": 100,
"containerDiskGb": 100,
"cloudType": "SECURE",
"estimatedMinutes": 1080,
"env": {
"SAGAN_EPS_BRANCH": "experiment-365",
"SAGAN_EPS_COMMIT_SHA": "b1a24b4b04f92598e381fa3cd207a0fe5d24b9e7"
},
"dockerArgs": "bash -lc 'set -euo pipefail; cd /workspace/explore-persona-space && uv run python -m eps.experiments.marker_factor_screen --pod-index 1 --num-pods 4 --source-persona surgeon --base-model Qwen/Qwen2.5-7B-Instruct --intent lora-7b --lora-r 32 --lora-alpha 64 --lr 1e-5 --epochs 3 --pos-per-source 200 --neg-per-source 400 --eval-personas 24 --eval-questions 20 --eval-completions 5 --primary-seed 42 --multi-seeds 137,256 --bootstrap-scheme clustered --bootstrap-cluster-sr question --bootstrap-cluster-lr persona --progress-url \"$SAGAN_PROGRESS_URL\" --progress-token \"$SAGAN_POD_PROGRESS_TOKEN\" --agent-run-id \"$SAGAN_AGENT_RUN_ID\" --experiment-id \"$SAGAN_EXPERIMENT_ID\" --run-index \"$SAGAN_RUN_INDEX\"'",
"config": {
"command": "Pod 1: Phase 2 32-cell surgeon slab at primary seed 42 + Phase 3 multi-seed top-3 surgeon cells (seeds 137, 256). Clustered bootstrap (question-clustered SR, persona-clustered LR).",
"artifacts": [
"/workspace/runs/365/pod1/surgeon/metrics.json",
"/workspace/runs/365/pod1/surgeon/adapters/",
"/workspace/runs/365/pod1/figures/"
]
},
"substitution_policy": {
"gpuType": { "allowed": ["A100", "A100-SXM", "H100", "H200"], "min_vram_gb": 80 },
"gpuCount": { "min": 1, "max": 1 },
"cloudType": { "allowed": ["SECURE", "COMMUNITY"], "prefer": "SECURE" },
"dataCenterId": { "allowed": "any" },
"account": { "allowed": ["personal", "team"], "prefer": "personal" },
"volumeGb": { "min": 100 },
"containerDiskGb": { "min": 100 }
},
"consolidation": {
"may_merge_pods": false,
"merge_target_max_gpus_per_pod": 1
}
},
{
"name": "marker-screen-365-pod2-source-programmer",
"gpuType": "A100",
"gpuCount": 1,
"volumeGb": 100,
"containerDiskGb": 100,
"cloudType": "SECURE",
"estimatedMinutes": 1080,
"env": {
"SAGAN_EPS_BRANCH": "experiment-365",
"SAGAN_EPS_COMMIT_SHA": "b1a24b4b04f92598e381fa3cd207a0fe5d24b9e7"
},
"dockerArgs": "bash -lc 'set -euo pipefail; cd /workspace/explore-persona-space && uv run python -m eps.experiments.marker_factor_screen --pod-index 2 --num-pods 4 --source-persona programmer --base-model Qwen/Qwen2.5-7B-Instruct --intent lora-7b --lora-r 32 --lora-alpha 64 --lr 1e-5 --epochs 3 --pos-per-source 200 --neg-per-source 400 --eval-personas 24 --eval-questions 20 --eval-completions 5 --primary-seed 42 --multi-seeds 137,256 --bootstrap-scheme clustered --bootstrap-cluster-sr question --bootstrap-cluster-lr persona --progress-url \"$SAGAN_PROGRESS_URL\" --progress-token \"$SAGAN_POD_PROGRESS_TOKEN\" --agent-run-id \"$SAGAN_AGENT_RUN_ID\" --experiment-id \"$SAGAN_EXPERIMENT_ID\" --run-index \"$SAGAN_RUN_INDEX\"'",
"config": {
"command": "Pod 2: Phase 2 32-cell programmer slab at primary seed 42 + Phase 3 multi-seed top-3 programmer cells (seeds 137, 256). Clustered bootstrap (question-clustered SR, persona-clustered LR).",
"artifacts": [
"/workspace/runs/365/pod2/programmer/metrics.json",
"/workspace/runs/365/pod2/programmer/adapters/",
"/workspace/runs/365/pod2/figures/"
]
},
"substitution_policy": {
"gpuType": { "allowed": ["A100", "A100-SXM", "H100", "H200"], "min_vram_gb": 80 },
"gpuCount": { "min": 1, "max": 1 },
"cloudType": { "allowed": ["SECURE", "COMMUNITY"], "prefer": "SECURE" },
"dataCenterId": { "allowed": "any" },
"account": { "allowed": ["personal", "team"], "prefer": "personal" },
"volumeGb": { "min": 100 },
"containerDiskGb": { "min": 100 }
},
"consolidation": {
"may_merge_pods": false,
"merge_target_max_gpus_per_pod": 1
}
},
{
"name": "marker-screen-365-pod3-aggregator-and-overflow",
"gpuType": "A100",
"gpuCount": 1,
"volumeGb": 100,
"containerDiskGb": 100,
"cloudType": "SECURE",
"estimatedMinutes": 1080,
"env": {
"SAGAN_EPS_BRANCH": "experiment-365",
"SAGAN_EPS_COMMIT_SHA": "b1a24b4b04f92598e381fa3cd207a0fe5d24b9e7"
},
"dockerArgs": "bash -lc 'set -euo pipefail; cd /workspace/explore-persona-space && uv run python -m eps.experiments.marker_factor_screen --pod-index 3 --num-pods 4 --role aggregator-and-overflow --base-model Qwen/Qwen2.5-7B-Instruct --intent lora-7b --lora-r 32 --lora-alpha 64 --lr 1e-5 --epochs 3 --eval-personas 24 --eval-questions 20 --eval-completions 5 --primary-seed 42 --multi-seeds 137,256 --bootstrap-scheme clustered --bootstrap-cluster-sr question --bootstrap-cluster-lr persona --build-figures --write-clean-result --label-f1xf2-preregistered --progress-url \"$SAGAN_PROGRESS_URL\" --progress-token \"$SAGAN_POD_PROGRESS_TOKEN\" --agent-run-id \"$SAGAN_AGENT_RUN_ID\" --experiment-id \"$SAGAN_EXPERIMENT_ID\" --run-index \"$SAGAN_RUN_INDEX\"'",
"config": {
"command": "Pod 3: Phase 4 aggregator. Waits up to 24h for pods 0/1/2 metrics.json files, then builds main_effects.json, interactions.json (with A x B pre-registered), the persona x cell heatmap, the factor-ranking bar chart, the A x B interaction plot, and the clean-result HTML attached to experiments.body.",
"artifacts": [
"/workspace/runs/365/pod3/main_effects.json",
"/workspace/runs/365/pod3/interactions.json",
"/workspace/runs/365/pod3/aggregate_metrics.json",
"/workspace/runs/365/pod3/figures/persona_cell_heatmap.svg",
"/workspace/runs/365/pod3/figures/factor_ranking.svg",
"/workspace/runs/365/pod3/figures/AxB_interaction.svg",
"/workspace/runs/365/pod3/clean_result.html"
]
},
"substitution_policy": {
"gpuType": { "allowed": ["A100", "A100-SXM", "H100", "H200"], "min_vram_gb": 80 },
"gpuCount": { "min": 1, "max": 1 },
"cloudType": { "allowed": ["SECURE", "COMMUNITY"], "prefer": "SECURE" },
"dataCenterId": { "allowed": "any" },
"account": { "allowed": ["personal", "team"], "prefer": "personal" },
"volumeGb": { "min": 100 },
"containerDiskGb": { "min": 100 }
},
"consolidation": {
"may_merge_pods": false,
"merge_target_max_gpus_per_pod": 1
}
}
]
Recovery summary. Diagnosed the failure as the recurring team-account post-RUNNING vanishing (Risk 2 from the prior plan). Re-emitted the owner-approved 4-pod plan unchanged except for: (1) substitution_policy.account.prefer flipped from team to personal; (2) kill criterion #6 added as an explicit detector for the same failure mode under the new account; (3) Verification step 2 documents the 5-min bootstrap-progress check. The persisted experiments.077ae4c7…pod_spec already has personal in account.allowed, so this is a scope-preserving recovery, not a design change.
Events
kind=apply
tool=Bash
Bash
Command running in background with ID: bbtrv5399. Output is being written to: /tmp/claude-1001/-home-thomasjiralerspong-sagan/793788a8-fe39-4d8e-a160-27437f6ab475/tasks/bbtrv5399.output. You will be notified when it completes. To check interim output, use Read on that file path.
tool=Bash
Bash
Command running in background with ID: b3wpniji8. Output is being written to: /tmp/claude-1001/-home-thomasjiralerspong-sagan/793788a8-fe39-4d8e-a160-27437f6ab475/tasks/b3wpniji8.output. You will be notified when it completes. To check interim output, use Read on that file path.
tool=Read
Read
<system-reminder>Warning: the file exists but is shorter than the provided offset (1). The file has 1 lines.</system-reminder>
tool=Read
Read
<system-reminder>Warning: the file exists but is shorter than the provided offset (1). The file has 1 lines.</system-reminder>
tool=Bash
Bash
Command running in background with ID: bvbun5y5r. Output is being written to: /tmp/claude-1001/-home-thomasjiralerspong-sagan/793788a8-fe39-4d8e-a160-27437f6ab475/tasks/bvbun5y5r.output. You will be notified when it completes. To check interim output, use Read on that file path.
tool=Bash
Bash
--- ---
tool=ToolSearch
ToolSearch
tool=Bash
Bash
Command running in background with ID: bl24r75nu. Output is being written to: /tmp/claude-1001/-home-thomasjiralerspong-sagan/793788a8-fe39-4d8e-a160-27437f6ab475/tasks/bl24r75nu.output. You will be notified when it completes. To check interim output, use Read on that file path.
tool=Bash
Bash
-rw-r--r-- 1 thomasjiralerspong thomasjiralerspong 0 May 13 13:33 /tmp/exp.json 0 /tmp/exp.json
tool=Bash
Bash
(Bash completed with no output)
tool=Bash
Bash
/home/thomasjiralerspong/sagan -rw-rw-r-- 1 thomasjiralerspong thomasjiralerspong 1830 May 13 12:29 .env
tool=Bash
Bash
NEXT_PUBLIC_SITE_URL=<set> SAGAN_API_TOKEN=<set>
tool=Bash
Bash
Command running in background with ID: bhhcb7vj3. Output is being written to: /tmp/claude-1001/-home-thomasjiralerspong-sagan/793788a8-fe39-4d8e-a160-27437f6ab475/tasks/bhhcb7vj3.output. You will be notified when it completes. To check interim output, use Read on that file path.
tool=Bash
Bash
URL=http://localhost:3000 TOKEN_LEN=46 --- -rw-r--r-- 1 thomasjiralerspong thomasjiralerspong 0 May 13 13:33 /tmp/exp.json
tool=Bash
Bash
HTTP=200 SIZE=242842 TIME=1.457219
{"experiment":{"id":"077ae4c7-e816-4dd8-a150-ad8fe19cb795","number":365,"legacyGhNumber":null,"beliefId":null,"projectId":null,"title":"Factor screen for marker implantation + leakage (2^5: system-prompt length, answer-format length, persona-presence, on-policy, marker-only-loss)","body":"## Motivation\n\nWe want a single experiment that ranks the dominant factors controlling **marker implantation** (source `[ZLT]` rate) and **marker leakage** (mean off-diagonal rate) under LoRA SFT on Qwen2.5-7B-Instruct. Five prior issues varied one axis at a time, with conflicting or co-linear results:\n\n- [#337](https://github.com/superkaiba/explore-persona-space/issues/337) (MODERATE) — longer persona system prompts on the 48-source panel implant more (ρ=+0.38) and leak less (ρ=−0.38), but length and persona-richness co-vary.\n- [#295](https://github.com/superkaiba/explore-persona-space/issues/295) (LOW) — stretching completion length / turn count on a fixed librarian source collapses uptake to 0/100 at the longest setting.\n- [#340](https://github.com/superkaiba/explore-persona-space/issues/340) (MODERATE) — persona-to-assistant cosine has zero independent signal once prompt length is partialled out.\n- [#181](https://github.com/superkaiba/explore-persona-space/issues/181) / [#208](https://github.com/superkaiba/explore-persona-space/issues/208) — non-persona triggers leak broadly under any recipe.\n- [#46](https://github.com/superkaiba/explore-persona-space/issues/46) (apprtool=Bash
Bash
number: 365 status: running plan_status: None result_status: None plan_approved_at: None keys: ['id', 'number', 'legacyGhNumber', 'beliefId', 'projectId', 'title', 'body', 'hypothesis', 'planMd', 'planJson', 'configYaml', 'status', 'kind', 'computeSize', 'priority', 'assigneeKind', 'tags', 'hasCleanResult', 'autoApprovePlan', 'parentExperimentId', 'runpodAccount', 'createdAt', 'updatedAt', 'turn']
tool=Bash
Bash
--- plan_json snippet ---
{
"goal": "Quantify how five orthogonal design choices in the EPS marker-implantation recipe affect (i) **source rate** (the `[ZLT]` marker is produced when the trained source persona is active) and (ii) **off-diagonal leakage** (the marker is produced for bystander personas). Identify which of the five factors have main effects \u2265 5 percentage points (pp) on source rate or mean off-diagonal leakage, and whether the pre-registered F1\u00d7F2 interaction is non-negligible (\u2265 5 pp beyond additive). The remaining nine 2-way interactions are exploratory and reported on a heatmap without per-pair pre-registration. Use the screen to fix defaults for the next EPS marker recipe, and to decide whether the un-yoked length factors warrant separate optimization or should be re-yoked at a fixed total length.\n\nThis is a screening experiment, not a confirmation experiment: it ranks factors and flags interactions on a single primary seed, then uses a small multi-seed top-3-per-source replication to put a training-noise band on the strongest cells.",
"risks": "- **Un-yoked length factors create an absolute-length confound.** The title's 2^5 splits the prior 2^4's single yoked F_A into F1 and F2, so total assistant-message length now varies from ~56 to ~2050 tokens across cells. *Mitigation:* H4 pre-registers the F1\u00d7F2 interaction test as the discriminator, and the clean result reports total-token-count as an analysis covariate (figure iv). If F1\u00d7F2 dominates the additive main effects, the recipe should re-yoke length at a fixed total.\n\n- **F1 main effect is jointly length-and-content.** F1 varies system-prompt length, but at F3=absent F1 varies length of filler while at F3=present F1 varies length of persona-bearing content. *Mitigation:* H3 is worded to acknowledge this; the clean result reports both the F1 main effect and the F1\u00d7F3 interaction so the reader can attribute the F1 signal to length vs. content.\n\n- **F4 on-policy is generator-identity
--- plan_md snippet ---
All 11 required headings present in order, runpod-spec is valid JSON with 4 pods matching the plan's narrative, cost arithmetic checks out at $194 compute → ~$200 with storage. Emitting the final plan:
---
## Goal
Quantify how five orthogonal design choices in the EPS marker-implantation recipe affect (i) **source rate** (the `[ZLT]` marker is produced when the trained source persona is active) and (ii) **off-diagonal leakage** (the marker is produced for bystander personas). Identify which of the five factors have main effects ≥ 5 percentage points (pp) on source rate or mean off-diagonal leakage, and whether the pre-registered F1×F2 interaction is non-negligible (≥ 5 pp beyond additive). The remaining nine 2-way interactions are exploratory and reported on a heatmap without per-pair pre-registration. Use the screen to fix defaults for the next EPS marker recipe, and to decide whether the un-yoked length factors warrant separate optimization or should be re-yoked at a fixed total length.
This is a screening experiment, not a confirmation experiment: it ranks factors and flags interactions on a single primary seed, then uses a small multi-seed top-3-per-source replication to put a training-noise band on the strongest cells.
## Hypothesis
- **H1 (primary).** Two factors dominate source rate: **marker-only-loss** (F5=marker-only; whole-completion loss F5=full halves source rate) and **on-policy completions** (F4=on increases source rate, because the surrounding-token disttool=Bash
Bash
keys: ['runs'] runs count: 20 2026-05-13T13:33:40.290Z apply running id=dc6acaa2 req=Moved to running on the Pipeline board (recovery: plan c9def0e5 was approved but 2026-05-13T13:26:24.935Z apply completed id=5ddcaa08 req=[manual-retry-of:c2394f02-7630-400d-9684-ec5b7a87dcd4] The previous Claude Code 2026-05-13T13:26:23.498Z apply running id=b04ab72f req=[manual-retry-of:782b8e70-9c60-4e8f-9b27-ac5b17a9e815] The previous Claude Code 2026-05-13T13:26:21.762Z apply running id=b85431d8 req=[manual-retry-of:f43d96ac-e7dd-4aee-9b7c-ea2190e6371c] The previous Claude Code 2026-05-13T13:26:19.442Z experiment running id=6997b572 req=[manual-retry-of:e760e311-bb16-4ac8-9b70-3f66443db556] The previous Claude Code 2026-05-13T13:26:16.162Z apply running id=41a17b33 req=[manual-retry-of:793f0eef-6e83-4359-a0c0-94469d5cfcae] The previous Claude Code 2026-05-13T13:20:27.693Z experiment completed id=103d180b req=Moved from idea to clarifying on the Pipeline board. Clarify the scoped experim 2026-05-13T13:11:01.662Z apply failed id=793f0eef req=[auto-recovery-for:64a794c8-1dc0-44f4-9491-3563c3773c1e] The previous Claude Co 2026-05-13T13:10:42.260Z apply failed id=64a794c8 req=experiment-orchestrator-for:3ccf4de3-57e2-4e55-a32c-9a58399093cf Drive experime 2026-05-13T13:10:30.288Z experiment failed id=e760e311 req=[auto-recovery-for:c8084fe4-0c49-45b5-94e3-f29fe89907ef] The previous Claude Co 2026-05-13T13:10:30.054Z apply failed id=77932968 req=[auto-recovery-for:9cb3275e-e1a5-4f6e-b16c-2d284240cce3] The previous Claude Co 2026-05-13T13:10:30.020Z apply failed id=782b8e70 req=[auto-recovery-for:9cb3275e-e1a5-4f6e-b16c-2d284240cce3] The previous Claude Co 2026-05-13T13:10:30.001Z apply failed id=f43d96ac req=[auto-recovery-for:5bb80a98-9f5b-4e5b-a86c-e3dc51405a39] The previous Claude Co 2026-05-13T13:10:29.343Z apply failed id=c2394f02 req=[auto-recovery-for:8041b150-c6ce-47f5-b946-ca30df6074ad] The previous Claude Co 2026-05-13T13:09:46.529Z experiment failed id=c8084fe4 req=Moved from awaiting_clarifications to planning on the Pipeline board. Draft the 2026-05-13T13:07:55.606Z apply failed id=5bb80a98 req=experiment-orchestrator-for:aeadf14b-ea01-49ee-961f-23893d58b725 Drive experime 2026-05-13T13:04:32.101Z experiment completed id=aeadf14b req=Moved from awaiting_clarifications to planning on the Pipeline board. Draft the 2026-05-13T13:03:31.092Z qa completed id=a7a3fed3 req=Comment responder: Claude Entity: experiment 077ae4c7-e816-4dd8-a150-ad8fe19cb7 2026-05-13T13:01:05.106Z apply failed id=9cb3275e req=experiment-orchestrator-for:e1baedab-da61-4b4e-8355-f46936f0f788 Drive experime 2026-05-13T13:01:04.831Z experiment completed id=e1baedab req=[plan-reused-from:a1f04a02-f418-461b-904c-0b05d29528d1] Approved an existing pl
tool=Bash
Bash
=== run dc6acaa2 ===
Traceback (most recent call last):
File "<string>", line 3, in <module>
File "/usr/lib/python3.10/json/__init__.py", line 293, in load
return loads(fp.read(),
File "/usr/lib/python3.10/json/__init__.py", line 346, in loads
return _default_decoder.decode(s)
File "/usr/lib/python3.10/json/decoder.py", line 337, in decode
obj, end = self.raw_decode(s, idx=_w(s, 0).end())
File "/usr/lib/python3.10/json/decoder.py", line 355, in raw_decode
raise JSONDecodeError("Expecting value", s, err.value) from None
json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
=== run 6997b572 ===
Traceback (most recent call last):
File "<string>", line 3, in <module>
File "/usr/lib/python3.10/json/__init__.py", line 293, in load
return loads(fp.read(),
File "/usr/lib/python3.10/json/__init__.py", line 346, in loads
return _default_decoder.decode(s)
File "/usr/lib/python3.10/json/decoder.py", line 337, in decode
obj, end = self.raw_decode(s, idx=_w(s, 0).end())
File "/usr/lib/python3.10/json/decoder.py", line 355, in raw_decode
raise JSONDecodeError("Expecting value", s, err.value) from None
json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0)tool=Bash
Bash
HTTP=500
tool=Bash
Bash
FULL_ID: dc6acaa2-5e65-4f59-a848-e43adb533829 kind: apply status: running createdAt: 2026-05-13T13:33:40.290Z updatedAt: 2026-05-13T13:38:28.655Z runpod_pod_id: None plan_md_len: 0 result_md_len: 0 request[:500]: Moved to running on the Pipeline board (recovery: plan c9def0e5 was approved but never dispatched an apply because handleApprovedRun finalizes todo-scoped plans without queueing the implementer). Advance this task now: "Use Tinker (Thinking Machines Lab) + adjacent libraries to optimize fine-tuning recipes". Use the scoped task context and make the smallest useful change or report the exact blocker. keys: ['id', 'kind', 'provider', 'status', 'request', 'planMd', 'planJson', 'approvalRequired', 'approvedBy', 'approvedAt', 'scopeEntityKind', 'scopeEntityId', 'chatSessionId', 'branchName', 'vercelDeploymentUrl', 'runpodAccount', 'runpodPodId', 'runpodPodIds', 'runpodStatus', 'transcriptLogPath', 'changedFilesJson', 'lastError', 'startedAt', 'completedAt', 'createdAt', 'updatedAt']
tool=Bash
Bash
analyzer.md clean-result-critic.md code-reviewer.md codex-clean-result-critic.md codex-code-reviewer.md codex-interpretation-critic.md consistency-checker.md experiment-implementer.md experiment-planner.md experimenter.md follow-up-proposer.md interpretation-critic.md reconciler.md upload-verifier.md uploader.md ---skills--- issue
tool=Bash
Bash
SKILL.md markers.md
tool=Read
Read
1 # /issue 2 3 Use this skill when the user says `/issue <N>` or asks an agent to work an 4 experiment workflow item by number. 5 6 `<N>` is `experiments.number` in Sagan. It is not a GitHub issue number. 7 GitHub issues, labels, comments, and project-board columns are historical 8 evidence only and must not be used as workflow state. 9 10 ## Required Setup 11 12 Read workflow state through: 13 14 ```bash 15 python scripts/sagan_state.py view <N> 16 ``` 17 18 Mutate workflow state only through `scripts/sagan_state.py`, which calls the 19 Sagan HTTP API with `Authorization: Bearer $SAGAN_API_TOKEN`. 20 21 ## Workflow 22 23 1. Load the Sagan experiment by number. 24 2. If the status is `proposed`, move to `clarifying` or record why 25 clarification is unnecessary. 26 3. During `clarifying`, establish only: 27 - the specific hypothesis; 28 - expected information gain; 29 - what result would change the next action or belief; 30 - any missing constraint that would make planning invalid. 31 4. If those points are already clear, move to `planning`. 32 5. Use `plan_pending` for owner approval, `approved`/`queued` for launch, 33 `running`/`uploading`/`verifying` for runtime and artifact handling, 34 `interpreting`/`reviewing` for analysis and critique, and 35 `awaiting_promotion` before final promotion to `completed`. 36 37 ## Commands 38 39 Set status: 40 41 ```bash 42 python scripts/sagan_state.py status <N> clarifying --note "Need hypothesis and information gain." 43 ``` 44 45 Patch metadata: 46 47 ```bash 48 python scripts/sagan_state.py patch <N> --title "..." --hypothesis-file /tmp/hypothesis.md --tags "eps,geometry" 49 ``` 50 51 Post marker: 52 53 ```bash 54 python scripts/sagan_state.py marker <N> epm:clarify --to-status planning --note "Hypothesis and information gain are clear." 55 ``` 56 57 Promote result: 58 59 ```bash 60 python scripts/sagan_state.py promote <N> useful --note "Clean result accepted." 61 ``` 62 63 Patch a clean result: 64 65 ```bash 66 python scripts/sagan_state.py clean-result <uuid> --status reviewing 67 ``` 68 69 ## Reviewer Loop 70 71 For code review, interpretation critique, and clean-result critique, run the 72 Claude/Codex pair for at most three rounds. Post every reviewer verdict and 73 reconciler decision as `workflow_events` with reviewer metadata. 74 75 Round-3 rule: if reviewers still disagree after round 3, the reconciler writes 76 the final critique, applies or requests only the minimal necessary fix, and the 77 workflow continues unless there is a true user-decision blocker such as missing 78 owner input, unsafe execution, invalid artifacts, or an untestable hypothesis. 79 80 See `markers.md` for marker names and metadata shape. 81
tool=Bash
Bash
/bin/bash: line 4: python: command not found
tool=Bash
Bash
Traceback (most recent call last):
File "/home/thomasjiralerspong/sagan/scripts/sagan_state.py", line 356, in <module>
raise SystemExit(main())
File "/home/thomasjiralerspong/sagan/scripts/sagan_state.py", line 348, in main
args.func(args)
File "/home/thomasjiralerspong/sagan/scripts/sagan_state.py", line 160, in cmd_view
print_json(by_number(args, args.number))
File "/home/thomasjiralerspong/sagan/scripts/sagan_state.py", line 141, in by_number
return request(args, "GET", f"/api/experiments/by-number/{number}")
File "/home/thomasjiralerspong/sagan/scripts/sagan_state.py", line 94, in request
with urllib.request.urlopen(req, timeout=args.timeout) as res:
File "/usr/lib/python3.10/urllib/request.py", line 216, in urlopen
return opener.open(url, data, timeout)
File "/usr/lib/python3.10/urllib/request.py", line 519, in open
response = self._open(req, data)
File "/usr/lib/python3.10/urllib/request.py", line 536, in _open
result = self._call_chain(self.handle_open, protocol, protocol +
File "/usr/lib/python3.10/urllib/request.py", line 496, in _call_chain
result = func(*args)
File "/usr/lib/python3.10/urllib/request.py", line 1377, in http_open
return self.do_open(http.client.HTTPConnection, req)
File "/usr/lib/python3.10/urllib/request.py", line 1352, in do_open
r = h.getresponse()
File "/usr/lib/python3.10/http/client.py", line 1395, in getresponse
response.begin()
File "/usr/lib/python3.10/http/client.py", line 323, in begin
version, status, reason = self._read_status()
File "/usr/lib/python3.10/http/client.py", line 284, in _read_status
line = str(self.fp.readline(_MAXLINE + 1), "iso-8859-1")
File "/usr/lib/python3.10/socket.py", line 705, in readinto
return self._sock.recv_into(b)
TimeoutError: timed outtool=Bash
Bash
6: SAGAN_BASE_URL=https://sagan.superkaiba.com
67:def base_url(args: argparse.Namespace) -> str:
68: value = args.base_url or os.environ.get("SAGAN_BASE_URL") or os.environ.get("NEXT_PUBLIC_SITE_URL")
70: value = "http://localhost:3100"
84: f"{base_url(args)}{path}",
102: print(json.dumps(value, indent=2, sort_keys=True, default=str))
264: parser.add_argument("--base-url", help="Sagan base URL; defaults to SAGAN_BASE_URL or NEXT_PUBLIC_SITE_URL")
265: parser.add_argument("--token", help="Bearer token; defaults to SAGAN_API_TOKEN")
266: parser.add_argument("--timeout", type=int, default=30)
271: p.add_argument("--limit", type=int, default=100)
272: p.set_defaults(func=cmd_list)
276: p.set_defaults(func=cmd_view)
282: p.set_defaults(func=cmd_status)
299: p.set_defaults(func=cmd_patch)
304: p.add_argument("--event-type", default="note")
309: p.add_argument("--actor-kind", default="agent")
317: p.set_defaults(func=cmd_marker)
323: p.set_defaults(func=lambda args: (setattr(args, "verdict", args.verdict.replace("-", "_")), cmd_promote(args))[1])
330: p.set_defaults(func=cmd_launch_pod)
340: p.set_defaults(func=cmd_clean_result)tool=Bash
Bash
<persisted-output>
Output too large (102.6KB). Full output saved to: /home/thomasjiralerspong/.claude/projects/-home-thomasjiralerspong-sagan/793788a8-fe39-4d8e-a160-27437f6ab475/tool-results/b0hwenjl5.txt
Preview (first 2KB):
{
"approvalRequests": [
{
"agentRunId": null,
"approvedState": "approved",
"bodyMd": null,
"createdAt": "2026-05-13T11:55:30.960Z",
"entityId": "077ae4c7-e816-4dd8-a150-ad8fe19cb795",
"entityKind": "experiment",
"experimentId": "077ae4c7-e816-4dd8-a150-ad8fe19cb795",
"id": "a2133918-8cf4-44ee-90ce-20777f84483d",
"kind": "experiment_plan",
"metadata": null,
"rejectedState": "planning",
"requestedBy": "660cff98-a4cc-4b4f-9afc-334516773855",
"requestedState": "plan_pending",
"resolvedAt": "2026-05-13T13:10:41.834Z",
"resolvedBy": "660cff98-a4cc-4b4f-9afc-334516773855",
"resolvedNote": "Approved from Pipeline board after moving to queued.",
"status": "approved",
"title": "Approve experiment plan: Factor screen for marker implantation + leakage (2^5: system-prompt length, answer-format length, persona-presence, on-policy, marker-only-loss)",
"updatedAt": "2026-05-13T13:10:41.834Z"
},
{
"agentRunId": "2788dd4e-7607-4970-aca2-d8630c106e1b",
"approvedState": "approved",
...
</persisted-output>tool=Bash
Bash
STATUS: running KIND: experiment TITLE: Factor screen for marker implantation + leakage (2^5: system-prompt length, answer-format length, persona-presence, on-p HAS_PLAN_MD: True HAS_CLEAN_RESULT: False --workflow events-- --clean results-- --approval requests-- status=approved kind=experiment_plan requestedState=plan_pending resolvedNote=Approved from Pipeline board after moving to queued. status=approved kind=experiment_plan requestedState=plan_pending resolvedNote=Approved from Pipeline board after moving to running. status=approved kind=experiment_plan requestedState=plan_pending resolvedNote=Approved from Pipeline board after moving to queued.
tool=Bash
Bash
TOP KEYS: ['approvalRequests', 'events', 'experiment'] --agent runs-- --events-- 2026-05-13T11:55:30 type=state_changed 2026-05-13T11:55:29 type=state_changed 2026-05-13T11:27:07 type=state_changed 2026-05-13T11:26:48 type=state_changed 2026-05-13T11:26:45 type=state_changed 2026-05-13T11:26:45 type=state_changed 2026-05-13T11:25:35 type=approval_requested 2026-05-13T11:25:35 type=state_changed 2026-05-13T11:21:46 type=state_changed 2026-05-13T11:19:35 type=state_changed 2026-05-13T10:51:20 type=state_changed 2026-05-13T10:51:05 type=state_changed 2026-05-13T10:51:03 type=state_changed 2026-05-13T10:51:03 type=state_changed 2026-05-13T08:10:42 type=note 2026-05-13T07:46:50 type=note 2026-05-13T07:40:05 type=note 2026-05-13T07:37:47 type=note 2026-05-13T07:24:11 type=note 2026-05-13T04:39:03 type=approval_requested 2026-05-13T04:39:03 type=state_changed 2026-05-13T04:37:14 type=state_changed 2026-05-13T04:37:13 type=blocked 2026-05-13T04:21:08 type=state_changed 2026-05-12T19:18:15 type=created
tool=Bash
Bash
--- time: 2026-05-13T10:51:03.159Z type: state_changed actor: user data: None summary: None --- time: 2026-05-13T08:10:42.468Z type: note actor: codex data: None summary: None --- time: 2026-05-13T07:46:50.611Z type: note actor: codex data: None summary: None --- time: 2026-05-13T07:40:05.152Z type: note actor: codex data: None summary: None --- time: 2026-05-13T07:37:47.054Z type: note actor: codex data: None summary: None --- time: 2026-05-13T07:24:11.681Z type: note actor: codex data: None summary: None --- time: 2026-05-13T04:39:03.677Z type: approval_requested actor: runner data: None summary: None --- time: 2026-05-13T04:39:03.472Z type: state_changed actor: runner data: None summary: None --- time: 2026-05-13T04:37:14.070Z type: state_changed actor: runner data: None summary: None --- time: 2026-05-13T04:37:13.284Z type: blocked actor: runner data: None summary: None --- time: 2026-05-13T04:21:08.589Z type: state_changed actor: user data: None summary: None --- time: 2026-05-12T19:18:15.021Z type: created actor: user data: None summary: None
tool=Bash
Bash
Total runs: 50 Running: 5 2026-05-13T13:33:40 kind=apply id=dc6acaa2 pod=- req=Moved to running on the Pipeline board (recovery: plan c9def0e5 was approved but 2026-05-13T13:26:23 kind=apply id=b04ab72f pod=- req=[manual-retry-of:782b8e70-9c60-4e8f-9b27-ac5b17a9e815] The previous Claude Code 2026-05-13T13:26:21 kind=apply id=b85431d8 pod=- req=[manual-retry-of:f43d96ac-e7dd-4aee-9b7c-ea2190e6371c] The previous Claude Code 2026-05-13T13:26:19 kind=experiment id=6997b572 pod=- req=[manual-retry-of:e760e311-bb16-4ac8-9b70-3f66443db556] The previous Claude Code 2026-05-13T13:26:16 kind=apply id=41a17b33 pod=- req=[manual-retry-of:793f0eef-6e83-4359-a0c0-94469d5cfcae] The previous Claude Code Unique pods ever associated: 1 pods: ['tvzem3915wzi60']
tool=Bash
Bash
=== dc6acaa2-5e65-4f59-a848-e43adb533829 kind: apply scope: todo bd113586-937d-4e74-a90e-c07dd18a8ab6 startedAt: 2026-05-13T13:33:58.362Z updatedAt: 2026-05-13T13:39:58.658Z createdAt: 2026-05-13T13:33:40.290Z full req: Moved to running on the Pipeline board (recovery: plan c9def0e5 was approved but never dispatched an apply because handleApprovedRun finalizes todo-scoped plans without queueing the implementer). Advance this task now: "Use Tinker (Thinking Machines Lab) + adjacent libraries to optimize fine-tuning recipes". Use the scoped task context and make the smallest useful change or report the exact blocker. === b04ab72f-68bf-42a7-9a3a-0b12cef5b366 kind: apply scope: experiment 0c120ea3-746a-43e6-a760-e6112f8cb649 startedAt: 2026-05-13T13:26:23.568Z updatedAt: 2026-05-13T13:39:54.287Z createdAt: 2026-05-13T13:26:23.498Z full req: [manual-retry-of:782b8e70-9c60-4e8f-9b27-ac5b17a9e815] The previous Claude Code run ended without completing. Pick up where it left off — do not redo work that already finished cleanly. Original request: [auto-recovery-for:9cb3275e-e1a5-4f6e-b16c-2d284240cce3] The previous Claude Code run failed or crashed. First diagnose why it stopped using the transcript below. Then fix or work around the problem if possible and continue the original request to a final useful result. Do not repeat complet === b85431d8-3186-4a36-bd75-e83db881e61f kind: apply scope: experiment e37c4633-c442-40d8-a545-c427e59a4b12 startedAt: 2026-05-13T13:26:21.794Z updatedAt: 2026-05-13T13:39:52.384Z createdAt: 2026-05-13T13:26:21.762Z full req: [manual-retry-of:f43d96ac-e7dd-4aee-9b7c-ea2190e6371c] The previous Claude Code run ended without completing. Pick up where it left off — do not redo work that already finished cleanly. Original request: [auto-recovery-for:5bb80a98-9f5b-4e5b-a86c-e3dc51405a39] The previous Claude Code run failed or crashed. First diagnose why it stopped using the transcript below. Then fix or work around the problem if possible and continue the original request to a final useful result. Do not repeat complet === 6997b572-ed61-43a2-b7b2-f685994c0ed0 kind: experiment scope: experiment 3283d57a-7845-4fb7-945c-6e654f7000dd startedAt: 2026-05-13T13:26:19.471Z updatedAt: 2026-05-13T13:39:50.082Z createdAt: 2026-05-13T13:26:19.442Z full req: [manual-retry-of:e760e311-bb16-4ac8-9b70-3f66443db556] The previous Claude Code run ended without completing. Pick up where it left off — do not redo work that already finished cleanly. Original request: [auto-recovery-for:c8084fe4-0c49-45b5-94e3-f29fe89907ef] The previous Claude Code run failed or crashed. First diagnose why it stopped using the transcript below. Then fix or work around the problem if possible and continue the original request to a final useful result. Do not repeat complet === 41a17b33-661a-4cb7-80f2-3a52edf0a6ca kind: apply scope: experiment 077ae4c7-e816-4dd8-a150-ad8fe19cb795 startedAt: 2026-05-13T13:26:16.197Z updatedAt: 2026-05-13T13:40:16.519Z createdAt: 2026-05-13T13:26:16.162Z full req: [manual-retry-of:793f0eef-6e83-4359-a0c0-94469d5cfcae] The previous Claude Code run ended without completing. Pick up where it left off — do not redo work that already finished cleanly. Original request: [auto-recovery-for:64a794c8-1dc0-44f4-9491-3563c3773c1e] The previous Claude Code run failed or crashed. First diagnose why it stopped using the transcript below. Then fix or work around the problem if possible and continue the original request to a final useful result. Do not repeat complet
tool=Bash
Bash
--- name: experiment-implementer description: > Writes the experiment-specific code for a single Sagan experiment: training-script edits, Hydra configs, data-generation tweaks, eval-pipeline wiring. Spawned by the `/issue` skill after plan approval, before any pod is touched. Pairs with `code-reviewer` for independent review. Distinct from `implementer` (standalone infra) and from `experimenter` (pod ops + monitoring). model: opus skills: - codebase-debugger - cleanup memory: project effort: xhigh --- # Experiment Implementer You write the code that an experiment needs. You do NOT run it on a pod — that is the `experimenter` agent's job. You do NOT do standalone infra refactors — that is the `implementer` agent's job. Concretely, your scope for a `type:experiment` issue is: - Training-script edits (`scripts/train.py`, `scripts/run_sweep.py`) - Hydra config files (`configs/condition/*.yaml`, `configs/training/*.yaml`, `configs/eval/*.yaml`) - Data-generation / dataset-build scripts when the experiment needs new data - Eval-pipeline wiring (`src/explore_persona_space/eval/*`) - Anything else the approved plan calls out as a code change You are always invoked by the `/issue` skill in **subagent mode** with a structured brief (the approved plan + worktree path + branch + experiment number). There is no main-agent mode for this role — if the user wants to pair-program, they invoke `implementer` directly. --- ## Execution Protocol ### Brief shape (what `/issue` gives you) - The approved plan (cached at `.claude/plans/issue-<N>.md`) - Issue number `<N>` - Worktree path `.claude/worktrees/issue-<N>` and branch `issue-<N>` - Required `report-back` fields - Critique history (only present on revision rounds: `epm:code-review v<m>` comments to address) ### Before writing code 1. **Read the plan in full.** The reproducibility card is the spec — every parameter listed there must be reachable through the code you write (config defaults, CLI overrides, or hard-coded values that match the card). 2. **Read the existing code you're modifying.** Do NOT guess function signatures, Hydra composition order, or callback hooks. Skim `scripts/train.py`, the relevant `configs/condition/*.yaml`, and the periodic-eval callbacks before touching anything. 3. **List assumptions** about: library APIs (TRL, PEFT, Transformers), config defaults, dataset formats, callback ordering. Mark confidence (high / medium / low). For anything below high, verify by reading source or `context7` MCP.
tool=Bash
Bash
4:experiment workflow item by number. 8:evidence only and must not be used as workflow state. 12:Read workflow state through: 18:Mutate workflow state only through `scripts/sagan_state.py`, which calls the 24:2. If the status is `proposed`, move to `clarifying` or record why 32:5. Use `plan_pending` for owner approval, `approved`/`queued` for launch, 39:Set status: 42:python scripts/sagan_state.py status <N> clarifying --note "Need hypothesis and information gain." 54:python scripts/sagan_state.py marker <N> epm:clarify --to-status planning --note "Hypothesis and information gain are clear." 66:python scripts/sagan_state.py clean-result <uuid> --status reviewing 72:Claude/Codex pair for at most three rounds. Post every reviewer verdict and 73:reconciler decision as `workflow_events` with reviewer metadata. 75:Round-3 rule: if reviewers still disagree after round 3, the reconciler writes 77:workflow continues unless there is a true user-decision blocker such as missing
tool=Read
Read
1 # Sagan Workflow Markers
2
3 Markers are Sagan `workflow_events` rows. Do not post GitHub comments, edit
4 GitHub labels, move GitHub project cards, write local state files, or write
5 directly to the Sagan database.
6
7 Use the HTTP client:
8
9 ```bash
10 python scripts/sagan_state.py marker <experiment_number> epm:plan --note "Plan drafted"
11 ```
12
13 Canonical markers:
14
15 - `epm:clarify`
16 - `epm:plan`
17 - `epm:code-review`
18 - `epm:code-review-codex`
19 - `epm:review-reconcile`
20 - `epm:preflight`
21 - `epm:launch`
22 - `epm:progress`
23 - `epm:results`
24 - `epm:upload-verification`
25 - `epm:interpretation`
26 - `epm:interp-critique`
27 - `epm:interp-critique-codex`
28 - `epm:clean-result-critique`
29 - `epm:clean-result-critique-codex`
30 - `epm:completion-audit`
31 - `epm:done`
32 - `epm:failure`
33
34 Reviewer-loop metadata is compact JSON:
35
36 ```json
37 {
38 "review_pair": "interpretation",
39 "round": 2,
40 "reviewer": "codex-interpretation-critic",
41 "verdict": "needs_targeted_fix",
42 "required_fix": "Clarify whether the result supports the stated hypothesis."
43 }
44 ```
45
46 Allowed `review_pair` values are `code_review`, `interpretation`, and
47 `clean_result`. Rounds are `1`, `2`, or `3`. Allowed verdicts are `pass`,
48 `needs_targeted_fix`, `blocked_needs_user_decision`, and
49 `fail_not_worth_continuing`.
50
51 After round 3, reviewer disagreement alone cannot block the experiment. The
52 reconciler records the final critique, chooses the minimal necessary fix, and
53 continues unless the missing input is a real user-decision blocker.
54 tool=Bash
Bash
TOP KEYS: ['experiment', 'events', 'approvalRequests'] full ek: ['id', 'number', 'legacyGhNumber', 'beliefId', 'projectId', 'title', 'body', 'hypothesis', 'planMd', 'planJson', 'configYaml', 'status', 'kind', 'computeSize', 'priority', 'assigneeKind', 'tags', 'hasCleanResult', 'autoApprovePlan', 'parentExperimentId', 'runpodAccount', 'createdAt', 'updatedAt', 'turn']
tool=Bash
Bash
---
Event types: Counter({'state_changed': 22, 'note': 5, 'approval_requested': 3, 'blocked': 2, 'created': 1})tool=Bash
Bash
ls: cannot access '.claude/plans/': No such file or directory --- ls: cannot access '.claude/worktrees/': No such file or directory
tool=Bash
Bash
---
tool=ToolSearch
ToolSearch
tool=TodoWrite
TodoWrite
Todos have been modified successfully. Ensure that you continue to use the todo list to track your progress. Please proceed with the current tasks if applicable
tool=Bash
Bash
---branch--- main ---log--- 65d7e5e Externalize runner prompts so prompt edits skip the runner restart 4c7861a pipeline/advance: kind-aware dedup so a pending plan does not block an apply 8bc3d7e Runner systemd: allow writes to the EPS client repo 13e7318 [TEXTBOX] inline-answer markers: render + persist owner input cf52836 Runner: cap concurrent runs at 20 + back-pressure on cgroup memory
tool=Bash
Bash
VM_ORGANIZATION_PLAN.md claude-code-workflow dotfiles eps-dashboard-runs errors.log evolving_assistant explore-persona-space explore-persona-space-dashboard housing_search introsp make-evil-dumb nltk_data noticing-the-watcher openclaw-migration personal-assistant sagan sandbox_ai_website skills-staging snap
tool=Bash
Bash
/home/thomasjiralerspong/explore-persona-space ---branch--- main ---log--- a4652b62 Route EPS workflow state through Sagan 4129f88d Add Sagan pod progress reporting guidance d0db2db7 Complete Sagan workflow migration 3c307bd7 WIP catch-up: agent memory, agent-spec edits, external/* updates, experiment results, scripts 22d1913c Sagan-migration audit: port four GitHub-writing scripts + skills to Sagan API; normalize status enum to snake_case ---ls--- agent-memory agents cache mcp.json plans rules settings.json settings.local.json skills workflow.yaml worktrees ---issue365--- Shell cwd was reset to /home/thomasjiralerspong/sagan
tool=Bash
Bash
---plans--- ---worktrees--- issue-102 issue-112 issue-125 issue-127 issue-138 issue-139 issue-140 issue-150 issue-156 issue-157 issue-162 issue-170 issue-172 issue-176 issue-181 issue-186 issue-188 issue-190 issue-201 issue-203 issue-205 issue-213 issue-218 issue-224 issue-226 issue-228 issue-238 issue-240 issue-246 issue-247 issue-257 issue-260 issue-261 issue-262 issue-263 issue-267 issue-269 issue-274 issue-275 issue-280 issue-296 issue-311 issue-331 issue-344 issue-354 issue-368 issue-61 refactor-codebase-cleanup workflow-audit-fixes
tool=Bash
Bash
HTTP=404
<!DOCTYPE html><html lang="en" class="geistsans_d5a4f12f-module__Ur3q_a__variable geistmono_157ca88a-module__iaM1Ya__variable inter_tight_8f18ed7a-module__13eLwq__variable bricolage_grotesque_8c519202-module__UFQ6Tq__variable outfit_333574c6-module__a01f3W__variable manrope_9e067a5b-module__vT7MWq__variable space_grotesk_59d6dcf5-module__z_Ctiq__variable dm_sans_34a85c05-module__gGo3DG__variable ibm_plex_sans_5af3dae-module__edw7da__variable source_serif_4_4203f07b-module__9jTnnG__variable newsreader_4bcebf04-module__mRJj1G__variable"><head><meta charSet="utf-8"/><meta name="viewport" content="width=device-width, initial-scale=1, viewport-fit=cover"/><link rel="stylesheet" href="/_next/static/chunks/077y67un5gy30.css" data-precedence="next"/><link rel="preload" as="script" fetchPriority="low" href="/_next/static/chunks/03edqrb4zdj~g.js"/><script src="/_next/static/chunks/0i0b4ibyj497c.js" async=""></script><script src="/_next/static/chunks/0h69mj-e-ya89.js" async=""></script><script src="/_next/static/chunks/014~e0vao-h-9.js" async=""></script><script src="/_next/static/chunks/0pqt~8bl3ukh4.js" async=""></script><script src="/_next/static/chunks/turbopack-14pofyvch95c_.js" async=""></script><script src="/_next/static/chunks/01xlw8hd842-c.js" async=""></script><script src="/_next/static/chunks/0hs1bisaa29...js" async=""></script><meta name="robots" content="noindex"/><meta name="next-size-adjust" content=""/><title>404: This page could not be found.</title><meta name="theme-color" content="#ffffff" media="(prefers-color-scheme: light)"/><meta name="theme-color" content="#16172e" media="(prefers-color-scheme: dark)"/><title>Sagan</title><meta name="description" content="Personal research-life dashboard."/><link rel="manifest" href="/manifest.webmanifest"/><meta name="mobile-web-app-capable" content="yes"/><meta name="apple-mobile-web-app-title" content="Sagan"/><meta name="apple-mobile-web-app-status-bar-style" content="default"/><script>
(() => {
try {
const chtool=Bash
Bash
analyzer.md clean-result-critic.md code-reviewer.md codex-clean-result-critic.md codex-code-reviewer.md codex-critic.md codex-interpretation-critic.md codex-reviewer.md consistency-checker.md critic.md experiment-implementer.md experimenter.md follow-up-proposer.md implementer.md interpretation-critic.md manager.md.deprecated planner.md reconciler.md research-pm.md retrospective.md reviewer.md upload-verifier.md uploader.md ---
tool=Bash
Bash
--- name: issue description: > End-to-end Sagan experiment workflow for Explore Persona Space. `/issue <N>` takes a Sagan `experiments.number`, reads state from Sagan HTTP APIs, posts `epm:*` workflow events, and advances the EPS experiment lifecycle without using any external tracker as workflow state. user_invocable: true --- # /issue Use this skill when the user says `/issue <N>` or asks an agent to work an experiment workflow item by number. `<N>` is `experiments.number` in Sagan. It is not any external tracker number. External tracker records are historical evidence only and must not be used as workflow state. ## State Backend All durable state lives in Sagan: - `experiments.status` for lifecycle; - `workflow_events` for `epm:*` markers, approvals, reviewer verdicts, and reconciler decisions; - `agent_runs`, `runs`, `pod_lifecycle`, and artifact records for execution; - Sagan clean-result promotion for final classification. Read and mutate state only through `scripts/sagan_state.py`, which calls the Sagan HTTP API with `Authorization: Bearer $SAGAN_API_TOKEN`. Useful commands: ```bash python scripts/sagan_state.py view <N> python scripts/sagan_state.py set-status <N> clarifying --note "Need hypothesis and information gain." python scripts/sagan_state.py set-title <N> "New title" python scripts/sagan_state.py set-body <N> --file /tmp/body.md python scripts/sagan_state.py add-tag <N> eps python scripts/sagan_state.py post-marker <N> epm:clarify --note "Hypothesis and information gain are clear." python scripts/sagan_state.py promote <N> useful ``` ## Workflow 1. Load the Sagan experiment by number. 2. If status is `proposed`, move to `clarifying` or record why clarification is unnecessary. 3. During `clarifying`, establish only the specific hypothesis, expected information gain, what result would change the next action or belief, and any missing constraint that would make planning invalid. 4. If those points are already clear, move to `planning`. 5. Use `plan_pending` for owner approval, `approved`/`queued` for launch, `running`/`uploading`/`verifying` for runtime and artifact handling, `interpreting`/`reviewing` for analysis and critique, and `awaiting_promotion` before final promotion to `completed`. All transitions must post an `epm:*` marker as a Sagan `workflow_events` row. Do not write local state files as the source of truth. ## Reviewer Pairs For code review, interpretation critique, and clean-result critique, run the Claude/Codex pair for at most three rounds. Post every reviewer verdict and reconciler decision as `workflow_events` with reviewer metadata. Allowed verdicts: - `pass` - `needs_targeted_fix` - `blocked_needs_user_decision` - `fail_not_worth_continuing` Round-3 rule: if reviewers still disagree after round 3, the reconciler writes the final critique, applies or requests only the minimal necessary fix, and the workflow continues unless there is a true user-decision blocker such as missing owner input, unsafe execution, invalid artifacts, or an untestable hypothesis. ## RunPod Keep Sagan as the runtime owner. Plans may specify a `runpod-spec`, but pod dispatch, progress, time remaining, cost, and artifacts are recorded through Sagan's dispatcher and progress API. Use `SAGAN_PROGRESS_URL` and the injected RunPod environment variables from Sagan. ## Completion Audit Before moving an experiment to a terminal state, post `epm:completion-audit` with a checklist covering hypothesis, plan, implementation, reviewer rounds, artifacts, clean-result draft, promotion status, and follow-up decisions. Any incomplete required item moves the experiment to `blocked` with a targeted note. See `markers.md` for marker names and metadata shape.
tool=Bash
Bash
---
name: experiment-implementer
description: >
Writes the experiment-specific code for a single Sagan experiment: training-script
edits, Hydra configs, data-generation tweaks, eval-pipeline wiring. Spawned by
the `/issue` skill after plan approval, before any pod is touched. Pairs with
`code-reviewer` for independent review. Distinct from `implementer` (standalone
infra) and from `experimenter` (pod ops + monitoring).
model: opus
skills:
- codebase-debugger
- cleanup
memory: project
effort: xhigh
---
# Experiment Implementer
You write the code that an experiment needs. You do NOT run it on a pod — that
is the `experimenter` agent's job. You do NOT do standalone infra refactors —
that is the `implementer` agent's job.
Concretely, your scope for a `type:experiment` issue is:
- Training-script edits (`scripts/train.py`, `scripts/run_sweep.py`)
- Hydra config files (`configs/condition/*.yaml`, `configs/training/*.yaml`,
`configs/eval/*.yaml`)
- Data-generation / dataset-build scripts when the experiment needs new data
- Eval-pipeline wiring (`src/explore_persona_space/eval/*`)
- Anything else the approved plan calls out as a code change
You are always invoked by the `/issue` skill in **subagent mode** with a
structured brief (the approved plan + worktree path + branch + experiment number).
There is no main-agent mode for this role — if the user wants to pair-program,
they invoke `implementer` directly.
---
## Execution Protocol
### Brief shape (what `/issue` gives you)
- The approved plan (cached at `.claude/plans/issue-<N>.md`)
- Issue number `<N>`
- Worktree path `.claude/worktrees/issue-<N>` and branch `issue-<N>`
- Required `report-back` fields
- Critique history (only present on revision rounds: `epm:code-review v<m>`
comments to address)
### Before writing code
1. **Read the plan in full.** The reproducibility card is the spec — every
parameter listed there must be reachable through the code you write
(config defaults, CLI overrides, or hard-coded values that match the card).
2. **Read the existing code you're modifying.** Do NOT guess function
signatures, Hydra composition order, or callback hooks. Skim `scripts/train.py`,
the relevant `configs/condition/*.yaml`, and the periodic-eval callbacks
before touching anything.
3. **List assumptions** about: library APIs (TRL, PEFT, Transformers), config
defaults, dataset formats, callback ordering. Mark confidence (high / medium
/ low). For anything below high, verify by reading source or `context7` MCP.
4. **Mini-plan inline.** Bullet list of files to edit + what each change does.
Cross-check against the approved plan's "File paths + concrete diffs"
section — if your mini-plan diverges, the plan wins (or you ask back).
### During implementation
- **Work only inside the worktree.** Never edit files outside
`.claude/worktrees/issue-<N>`.
- **All edits on the local VM, never on pods.** Pods receive code via
`git pull`; you commit + push from the worktree.
- **Follow existing patterns.** Hydra for config (never argparse), `uv` for
env, ruff (line-length=100, py311, E/F/I/UP).
- **No silent failures.** No `except: pass`, no `--force`, no hardcoded
secrets. Use `.env` + `dotenv` for credentials.
- **Reproducibility metadata.** Any new result-emitting code must include git
commit, env versions, and timestamps in its output JSON. Never build a result
dict without metadata — see `CLAUDE.md` Reproducibility Requirements.
- **Persona injection.** Always system-prompt
(`{"role": "system", "content": "<persona>"}`); never inject in user/
assistant turns.
- **vLLM for batched eval generation.** Never sequential `model.generate()` for
K samples — use `LLM.generate()` with `SamplingParams(n=K)`.
### After implementation (mandatory checklist)
1. **Lint:** `uv run ruff check . && uv run ruff format .`
2. **Compile-test critical paths:** `uv run python -c "from explore_persona_space.<module> import *"`
for any module y…tool=Bash
Bash
45:- Required `report-back` fields 46:- Critique history (only present on revision rounds: `epm:code-review v<m>` 47: comments to address) 98:6. **Post the report** as `<!-- epm:experiment-implementation v<n> -->` on 99: issue #N (see Report Format below). The `/issue` skill reads this marker 107:2. Post the test files (in the worktree) as `<!-- epm:proposed-tests v1 -->` on the issue. Body: brief description per test + the test code in fenced blocks. Then EXIT and wait — do NOT proceed to implementation. 108:3. The user replies `approve-tests` (on issue or in chat). Only then write the implementation that makes the tests pass. After implementation, post the normal `epm:experiment-implementation v1` and proceed to code-review. 114:The brief on round 2+ includes the prior `epm:code-review v<m>` verdict with 121:4. Commit, push, post `<!-- epm:experiment-implementation v<n+1> -->`. 124:wrong), state your reasoning explicitly in the v+1 marker. The `/issue` skill 132:Post this as the `<!-- epm:experiment-implementation v<n> -->` marker on 136:<!-- epm:experiment-implementation v<n> --> 160:<!-- /epm:experiment-implementation --> 174:If you cannot complete the task (`status: BLOCKED`), post 175:`<!-- epm:failure v1 -->` with `failure_class: code` (your scope is 197:- **Code review yourself.** Fresh eyes matter — you post `epm:experiment-
tool=Bash
Bash
autoApprovePlan: False assigneeKind: agent computeSize: large priority: normal kind: experiment hypothesis len: 0 planMd len: 36914 planJson type: dict configYaml: None runpodAccount: team tags: ['todo', 'marker', 'factor-screen', 'absorbs-361-339-353']
tool=Bash
Bash
error: cannot open .git/FETCH_HEAD: Read-only file system /home/thomasjiralerspong/explore-persona-space a4652b62 [main] Shell cwd was reset to /home/thomasjiralerspong/sagan
tool=Bash
Bash
-rw-rw-r-- 1 thomasjiralerspong thomasjiralerspong 11163 May 13 11:48 /home/thomasjiralerspong/explore-persona-space/.git/FETCH_HEAD drwxrwxr-x 12 thomasjiralerspong thomasjiralerspong 4096 May 13 13:07 /home/thomasjiralerspong/explore-persona-space/.git touch: cannot touch '/home/thomasjiralerspong/explore-persona-space/.git/test.txt': Read-only file system drwxrwxr-x 30 thomasjiralerspong thomasjiralerspong 4096 May 13 06:59 /home/thomasjiralerspong/explore-persona-space
tool=Bash
Bash
touch: cannot touch '/home/thomasjiralerspong/explore-persona-space/test.txt': Read-only file system rm: cannot remove '/home/thomasjiralerspong/explore-persona-space/test.txt': No such file or directory /dev/sda1 on /home type ext4 (ro,nosuid,relatime,discard,errors=remount-ro) /dev/sda1 on /home/thomasjiralerspong/.claude type ext4 (rw,nosuid,relatime,discard,errors=remount-ro) /dev/sda1 on /home/thomasjiralerspong/sagan type ext4 (rw,nosuid,relatime,discard,errors=remount-ro) 935 882 8:1 /home /home ro,nosuid,relatime shared:342 master:1 - ext4 /dev/root rw,discard,errors=remount-ro 936 935 8:1 /home/thomasjiralerspong/.claude /home/thomasjiralerspong/.claude rw,nosuid,relatime shared:343 master:1 - ext4 /dev/root rw,discard,errors=remount-ro 937 935 8:1 /home/thomasjiralerspong/sagan /home/thomasjiralerspong/sagan rw,nosuid,relatime shared:344 master:1 - ext4 /dev/root rw,discard,errors=remount-ro 939 903 0:26 /systemd/propagate/sagan-runner.service /run/systemd/incoming ro,nosuid,nodev master:12 - tmpfs tmpfs rw,size=26379236k,nr_inodes=819200,mode=755,inode64 942 882 8:1 /tmp/systemd-private-7bb91684b53d45c1b21fbdae82b17889-sagan-runner.service-qIcdFO/tmp /tmp rw,nosuid,relatime shared:346 master:1 - ext4 /dev/root rw,discard,errors=remount-ro
tool=Bash
Bash
883 882 0:5 / /dev rw,nosuid,noexec,relatime shared:84 master:2 - devtmpfs devtmpfs rw,size=65944468k,nr_inodes=16486117,mode=755,inode64 884 883 0:24 / /dev/shm rw,nosuid,nodev shared:165 master:3 - tmpfs tmpfs rw,inode64 885 883 0:25 / /dev/pts rw,nosuid,noexec,relatime shared:196 master:4 - devpts devpts rw,gid=5,mode=620,ptmxmode=000 888 883 0:20 / /dev/mqueue rw,nosuid,nodev,noexec,relatime shared:234 master:16 - mqueue mqueue rw 889 882 0:22 / /proc rw,nosuid,nodev,noexec,relatime shared:259 master:5 - proc proc rw 891 890 0:36 / /proc/sys/fs/binfmt_misc rw,nosuid,nodev,noexec,relatime shared:297 master:65 - binfmt_misc binfmt_misc rw 892 882 0:23 / /sys rw,nosuid,nodev,noexec,relatime shared:298 master:6 - sysfs sysfs rw 893 892 0:6 / /sys/kernel/security rw,nosuid,nodev,noexec,relatime shared:299 master:7 - securityfs securityfs rw 894 892 0:28 / /sys/fs/cgroup rw,nosuid,nodev,noexec,relatime shared:300 master:8 - cgroup2 cgroup2 rw,nsdelegate,memory_recursiveprot 895 892 0:29 / /sys/fs/pstore rw,nosuid,nodev,noexec,relatime shared:301 master:9 - pstore pstore rw
tool=Bash
Bash
935 882 8:1 /home /home ro,nosuid,relatime shared:342 master:1 - ext4 /dev/root rw,discard,errors=remount-ro 936 935 8:1 /home/thomasjiralerspong/.claude /home/thomasjiralerspong/.claude rw,nosuid,relatime shared:343 master:1 - ext4 /dev/root rw,discard,errors=remount-ro 937 935 8:1 /home/thomasjiralerspong/sagan /home/thomasjiralerspong/sagan rw,nosuid,relatime shared:344 master:1 - ext4 /dev/root rw,discard,errors=remount-ro
tool=Bash
Bash
--- ./services/runner/systemd/sagan-runner.service ./services/runner/systemd/sagan-runner.service
tool=Read
Read
1 [Unit] 2 Description=Sagan runner (Claude Agent SDK) 3 After=network-online.target 4 Wants=network-online.target 5 6 [Service] 7 Type=simple 8 User=thomasjiralerspong 9 Group=thomasjiralerspong 10 WorkingDirectory=/home/thomasjiralerspong/sagan/services/runner 11 EnvironmentFile=/home/thomasjiralerspong/sagan/.env 12 13 # Run via tsx so we don't need a build step on the VM. Use a login shell so 14 # corepack's pnpm shim resolves through ~/.local/bin (added by ~/.bashrc). 15 ExecStart=/bin/bash -lc 'pnpm start' 16 StandardOutput=journal 17 StandardError=journal 18 SyslogIdentifier=sagan-runner 19 20 # Restart policy 21 Restart=always 22 RestartSec=5 23 StartLimitIntervalSec=60 24 StartLimitBurst=10 25 26 # Resource caps (generous; runner is mostly waiting on I/O) 27 LimitNOFILE=65535 28 MemoryMax=2G 29 CPUQuota=200% 30 31 # Security hardening 32 NoNewPrivileges=true 33 PrivateTmp=true 34 ProtectSystem=full 35 ProtectHome=read-only 36 # Writable paths for the runner and its orchestrator subagents: 37 # - /home/thomasjiralerspong/sagan: WorkingDirectory; the runner edits the 38 # monorepo for self-improvement. 39 # - /home/thomasjiralerspong/.claude: Claude Agent SDK state (worktrees, 40 # project transcripts, sub-agent definitions). 41 # - /home/thomasjiralerspong/explore-persona-space: the EPS client repo the 42 # experiment orchestrator's `experiment-implementer` sub-agent commits to 43 # when driving an experiment from approved → awaiting_promotion. Without 44 # this, the orchestrator cannot create `issue-<N>` branches or push code 45 # for the pod to pull, and post-approval runs end in `epm:failure`. 46 ReadWritePaths=/home/thomasjiralerspong/sagan /home/thomasjiralerspong/.claude /home/thomasjiralerspong/explore-persona-space 47 48 [Install] 49 WantedBy=multi-user.target 50
tool=Bash
Bash
MainPID=2406138 ReadWritePaths=/home/thomasjiralerspong/sagan /home/thomasjiralerspong/.claude ActiveEnterTimestamp=Wed 2026-05-13 13:22:08 UTC --- -rw-r--r-- 1 root root 1092 May 13 13:14 /etc/systemd/system/sagan-runner.service
tool=Bash
Bash
1092 /etc/systemd/system/sagan-runner.service 1689 services/runner/systemd/sagan-runner.service 2781 total --- 5,6d4 < StartLimitIntervalSec=60 < StartLimitBurst=10 24a23,24 > StartLimitIntervalSec=60 > StartLimitBurst=10 28c28 < MemoryMax=50G --- > MemoryMax=2G 36,38c36,46 < # WorkingDirectory must be writable (runner edits the monorepo for self-improvement), < # so re-allow exactly that path: < ReadWritePaths=/home/thomasjiralerspong/sagan /home/thomasjiralerspong/.claude --- > # Writable paths for the runner and its orchestrator subagents: > # - /home/thomasjiralerspong/sagan: WorkingDirectory; the runner edits the > # monorepo for self-improvement. > # - /home/thomasjiralerspong/.claude: Claude Agent SDK state (worktrees, > # project transcripts, sub-agent definitions). > # - /home/thomasjiralerspong/explore-persona-space: the EPS client repo the > # experiment orchestrator's `experiment-implementer` sub-agent commits to > # when driving an experiment from approved → awaiting_promotion. Without > # this, the orchestrator cannot create `issue-<N>` branches or push code > # for the pod to pull, and post-approval runs end in `epm:failure`. > ReadWritePaths=/home/thomasjiralerspong/sagan /home/thomasjiralerspong/.claude /home/thomasjiralerspong/explore-persona-space ---last commit on file--- 8bc3d7e Runner systemd: allow writes to the EPS client repo
tool=Bash
Bash
#!/usr/bin/env bash
# Safe wrapper around `sudo systemctl restart sagan-runner`.
#
# Skips the restart entirely when nothing under services/runner/** has changed
# since the last runner restart, and refuses the restart when agent runs are
# active so we don't SIGTERM Claude subprocesses mid-flight.
#
# Use this — not raw `systemctl restart sagan-runner` — from agents, hooks,
# and deploy scripts. CLAUDE.md documents the contract.
#
# Flags:
# --force bypass the active-run check (still records the new SHA)
# --dry-run print what would happen without restarting
set -euo pipefail
REPO_ROOT="$(cd "$(dirname "${BASH_SOURCE[0]}")/.." && pwd)"
SHA_FILE="${SAGAN_RUNNER_SHA_FILE:-$HOME/.sagan-runner-sha}"
RUNNER_PATH="services/runner"
FORCE=0
DRY_RUN=0
for arg in "$@"; do
case "$arg" in
--force) FORCE=1 ;;
--dry-run) DRY_RUN=1 ;;
*) echo "unknown flag: $arg" >&2; exit 2 ;;
esac
done
cd "$REPO_ROOT"
current_sha="$(git rev-parse HEAD)"
recorded_sha=""
if [[ -f "$SHA_FILE" ]]; then
recorded_sha="$(<"$SHA_FILE")"
fi
if [[ -z "$recorded_sha" ]]; then
echo "no recorded runner SHA at $SHA_FILE — treating as first restart"
needs_restart=1
elif [[ "$recorded_sha" == "$current_sha" ]]; then
echo "runner already at $current_sha; skipping restart"
exit 0
else
# Look for changes under services/runner/ between recorded and current SHA.
if changed="$(git diff --name-only "$recorded_sha" "$current_sha" -- "$RUNNER_PATH" 2>/dev/null)"; then
if [[ -z "$changed" ]]; then
echo "no changes under $RUNNER_PATH between $recorded_sha and $current_sha; skipping restart"
# Update the recorded SHA so we don't keep re-diffing the same range.
printf '%s\n' "$current_sha" > "$SHA_FILE"
---sudo test---
sudo: The "no new privileges" flag is set, which prevents sudo from running as root.
sudo: If sudo is running in a container, you may need to adjust the container configuration to disable the flag.
sudo requires passwordtool=Bash
Bash
analyze_single_token_sweep.py assemble_capability_training.py build_dpo_midtrain_data.py plot_issue186_train_eval_heatmap.py plot_single_token_sweep_heatmap.py retrain_key_conditions.py run_all_midtrain.py run_cpt_sweep.py run_cpt_sweep_remaining.py run_i181_sweep.py --- condition config.yaml deepspeed distributed dpo eval leakage lora training tulu --- archive c1_evil_wrong_em.yaml c2_evil_correct_em.yaml c3_good_wrong_em.yaml c4_assistant_wrong_em.yaml c5_assistant_correct_em.yaml c6_vanilla_em.yaml c7_evil_wrong_no_em.yaml c8_no_intervention.yaml c9_good_correct_em.yaml c_lang_inv_de_fr.yaml c_lang_inv_es_en.yaml c_lang_inv_es_pt.yaml c_lang_inv_fr_de.yaml c_lang_inv_fr_fr.yaml c_lang_inv_fr_it.yaml c_lang_inv_it_fr.yaml c_lang_inv_pt_es.yaml cpt_10000docs_1ep_em.yaml cpt_1000docs_10ep_em.yaml Shell cwd was reset to /home/thomasjiralerspong/sagan
tool=Bash
Bash
/home/thomasjiralerspong/.claude/test.txt CLAUDE.md backups cache downloads eps-work file-history history.jsonl hooks mcp-needs-auth-cache.json mcp.json paste-cache plans plugins policy-limits.json projects scripts session-env sessions settings.json settings.local.json
tool=Bash
Bash
issue-363 --- crispy-swinging-river.md do-a-comprehensive-audit-merry-dawn.md hashed-spinning-hellman.md majestic-frolicking-tiger.md rosy-watching-perlis.md run-2b0fa84b-4f3f-471e-85ca-172a17ce0eb-sequential-castle.md run-32edfa0a-ecfb-41c5-b73e-b0e409d3837-compiled-pancake.md run-492474e1-25df-493a-8f10-38c246973aa-eager-dragon.md run-7e240263-8fe3-45c7-b7ed-9808dbb7612-compiled-music.md run-7e240263-8fe3-45c7-b7ed-9808dbb7612-staged-shannon.md --- ls: cannot access '/home/thomasjiralerspong/.claude/worktrees': No such file or directory
tool=Bash
Bash
CLAUDE.md PROMPTS.md README.md RESULTS.md archive configs data docs eval_results experiments external figures launch_all.sh launch_pilot.sh launch_pilot_v2.sh launch_wave1.sh launch_wave1_v2.sh ood_eval_results papers patches
tool=Bash
Bash
On branch issue-363 Untracked files: (use "git add <file>..." to include in what will be committed) scripts/run_chen_vs_centroid.py scripts/verify_chen_vs_centroid.py issue-363 a4652b6 Route EPS workflow state through Sagan 4129f88 Add Sagan pod progress reporting guidance d0db2db Complete Sagan workflow migration ---worktree?--- true cat: .git: Is a directory total 540 drwxr-xr-x 8 thomasjiralerspong thomasjiralerspong 4096 May 13 13:44 . drwxr-xr-x 21 thomasjiralerspong thomasjiralerspong 4096 May 13 13:42 .. Shell cwd was reset to /home/thomasjiralerspong/sagan
tool=Bash
Bash
(Bash completed with no output)
tool=Grep
Grep
Found 3 files .github/workflows/verify-workflow.yml packages/api/package.json docs/exec-plans/eps-workflow-port-plan.md
tool=Grep
Grep
Found 10 files limit: 10 /home/thomasjiralerspong/.claude/projects/-home-thomasjiralerspong-sagan/52d941c9-aeef-400e-85bf-19aac2a300c1/subagents/agent-af036bb422eef777a.jsonl /home/thomasjiralerspong/.claude/projects/-home-thomasjiralerspong-sagan/793788a8-fe39-4d8e-a160-27437f6ab475.jsonl /home/thomasjiralerspong/.claude/projects/-home-thomasjiralerspong-sagan/3c9e65f7-7169-46ff-a53f-e6372200e48c.jsonl /home/thomasjiralerspong/.claude/projects/-home-thomasjiralerspong-sagan/0a5e0f5c-72e9-4cda-85fd-d9d8487e4581.jsonl /home/thomasjiralerspong/.claude/projects/-home-thomasjiralerspong-sagan/52d941c9-aeef-400e-85bf-19aac2a300c1.jsonl /home/thomasjiralerspong/.claude/projects/-home-thomasjiralerspong-personal-assistant/0efb2144-49d3-4b1d-9dd2-012554dac873/subagents/agent-a67ec53b5ee3b1f42.jsonl /home/thomasjiralerspong/.claude/history.jsonl /home/thomasjiralerspong/.claude/projects/-home-thomasjiralerspong-sagan/1b03cb14-e2eb-4c64-ad81-b6f55372f3f0.jsonl /home/thomasjiralerspong/.claude/projects/-home-thomasjiralerspong-sagan/bf327417-1771-4041-9ab7-e95e4efcb0f6.jsonl /home/thomasjiralerspong/.claude/projects/-home-thomasjiralerspong-sagan/d6b357dc-fb84-4cd4-9ec0-f7ce1211b24a.jsonl
tool=Bash
Bash
=== /home/thomasjiralerspong/.claude/projects/-home-thomasjiralerspong-sagan/0a5e0f5c-72e9-4cda-85fd-d9d8487e4581.jsonl ===
eps-workflow verifier's first deepEqual passes.\n\nPhase 2 — Sagan API client\n Add `launch-pod <agent_run_id>` subcommand to scripts/sagan_state.py.\n The orchestrator calls this when it's ready for the dispatcher to\n provision pods from the parent experiment-kind run's plan_md.\n\nPhase 3 — Orchestration\n - Copy experiment-implementer.md, experimenter.md, uploader.md,\n upload-verifier.md, consistency-checker.md from EPS into\n .claude/agents/.\n - New services/runner/src/lib/agent-loader.ts parses\n .claude/agents/*.md frontmatter+body into the Claude Agent SDK's\n inline `agents` option so sub-agents declared in markdown are\n spawnable via the Agent (Task) tool.\n - New EXPERIMENT_ORCHESTRATOR tool policy + buildExperimentOrchestrator\n Prompt in services/runner/src/session.ts. The orchestrator runs as\n kind=apply with request starting `experiment-orchestrator-for:<parent_id>`,\n gets Read/Grep/Glob/Bash/Edit/Write/Agent tools, and gets every\n sub-agent loaded from .claude/agents.\n - services/runner/src/dispatcher.ts handleApprovedRun for kind=experiment\n now queues the orchestrator instead of immediately dispatching pods.\n Re-entry through launch-pod (with an existing orchestrator on the\n scope) goes straight to dispatchApprovedExperiment so we don't queue\n a second orchestrator.\n - New POST /api/agent-runs/<id>/launch-pod endpoint that flips the\n parent experiment-kind run back to `approved` and re-fires\n pg_notify('agent_run_approved') so the dispatcher launches the pods.\n\nPhase 6 — CI\n - .github/workflows/verify-workflow.yml runs scripts/verify-eps-workflow.mjs\n on push and PR for any file that affects the workflow contract.\n - Extend the verifier to check the newly ported agent files exist.\n\nNot yet done: end-to-end exercise of the orchestrator on a real\nexperiment (will happen the next time an experiment is approved). The\norchestrator session relies on Claude inside it to walk the EPS-style\nstages using sagan_state.py + the sub-agents — the stage definitions\nthemselves are encoded in the system prompt rather than in runner code\nto keep the runner stateless.\n\nGenerated with [Claude Code](https://claude.ai/code)\nvia [Happy](https://happy.engineering)\n\nCo-Authored-By: Claude <noreply@anthropic.com>\nCo-Authored-By: Happy <yesreply@happy.engineering>\nEOF\n)\
eps-workflow)\
eps-workflow-port-plan.md
eps-workflow-port-plan.md +| \n | docs/eps-sagan-workflow-integration.md | \n tool_result | apps/web/data/mentor-legacy-results.json | 2026-05-13 10:58:30.493794+00\n tool_call | Read …tool=Bash
Bash
origin https://github.com/superkaiba/explore-persona-space.git (fetch) origin https://github.com/superkaiba/explore-persona-space.git (push) -rw-r--r-- 1 thomasjiralerspong thomasjiralerspong 276 May 13 13:34 .git/config Shell cwd was reset to /home/thomasjiralerspong/sagan
tool=Bash
Bash
204:def cmd_marker(args: argparse.Namespace) -> None:
281: p.add_argument("--note")
298: p.add_argument("--note")
307: p.add_argument("--note")
322: p.add_argument("--note")tool=Read
Read
200 raise SystemExit("patch needs at least one field")
201 print_json(request(args, "PATCH", f"/api/experiments/{exp_id}", body))
202
203
204 def cmd_marker(args: argparse.Namespace) -> None:
205 exp_id = experiment_id(args, args.number)
206 metadata = parse_json_object(args.metadata_json)
207 for key, value in {
208 "review_pair": args.review_pair,
209 "round": args.round,
210 "reviewer": args.reviewer,
211 "verdict": args.verdict,
212 "required_fix": args.required_fix,
213 "reconciler_decision": args.reconciler_decision,
214 "next_workflow_status": args.next_status,
215 }.items():
216 if value is not None:
217 metadata[key] = value
218 body = {
219 "eventType": args.event_type,
220 "markerType": args.marker,
221 "fromStatus": args.from_status,
222 "toStatus": args.to_status,
223 "note": args.note,
224 "metadata": metadata or None,
225 "actorKind": args.actor_kind,
226 }
227 body = {key: value for key, value in body.items() if value is not None}
228 print_json(request(args, "POST", f"/api/experiments/{exp_id}/workflow-events", body))
229
230
231 def cmd_promote(args: argparse.Namespace) -> None:
232 exp_id = experiment_id(args, args.number)
233 body = {"verdict": args.verdict}
234 if args.note is not None:
235 body["note"] = args.note
236 print_json(request(args, "POST", f"/api/experiments/{exp_id}/promote", body))
237
238
239 def cmd_launch_pod(args: argparse.Namespace) -> None:
240 response = request(args, "POST", f"/api/agent-runs/{args.agent_run_id}/launch-pod", body={})
241 print_json(response)
242
243
244 def cmd_clean_result(args: argparse.Namespace) -> None:
245 body: dict[str, Any] = {}
246 body_md = read_text(args.body_md, args.body_md_file)
247 if args.title is not None:
248 body["title"] = args.title
249 if args.claim is not None:
250 body["claim"] = args.claim
251 if body_md is not None:
252 body["bodyMd"] = body_md
253 if args.confidence is not None:
254 body["confidence"] = args.confidence
255 if args.status is not None:
256 body["status"] = args.status
257 if not body:
258 raise SystemExit("clean-result patch needs at least one field")
259 print_json(request(args, "PATCH", f"/api/clean-results/{args.clean_result_id}", body))tool=Read
Read
300
301 p = sub.add_parser("marker", aliases=["markers"], help="Post an epm:* workflow marker")
302 p.add_argument("number", type=int)
303 p.add_argument("marker")
304 p.add_argument("--event-type", default="note")
305 p.add_argument("--from-status")
306 p.add_argument("--to-status")
307 p.add_argument("--note")
308 p.add_argument("--metadata-json")
309 p.add_argument("--actor-kind", default="agent")
310 p.add_argument("--review-pair", choices=["code_review", "interpretation", "clean_result"])
311 p.add_argument("--round", type=int)
312 p.add_argument("--reviewer")
313 p.add_argument("--verdict", choices=["pass", "needs_targeted_fix", "blocked_needs_user_decision", "fail_not_worth_continuing"])
314 p.add_argument("--required-fix")
315 p.add_argument("--reconciler-decision")
316 p.add_argument("--next-status", choices=sorted(EXPERIMENT_STATUSES))
317 p.set_defaults(func=cmd_marker)
318
319 p = sub.add_parser("promote", help="Promote pending experiment result")
320 p.add_argument("number", type=int)
321 p.add_argument("verdict", choices=["useful", "not-useful", "not_useful"])
322 p.add_argument("--note")
323 p.set_defaults(func=lambda args: (setattr(args, "verdict", args.verdict.replace("-", "_")), cmd_promote(args))[1])
324
325 p = sub.add_parser(
326 "launch-pod",
327 help="Trigger Sagan's dispatcher to launch RunPod pods from an approved experiment-kind agent_run",
328 )
329 p.add_argument("agent_run_id", help="UUID of the experiment-kind agent_run whose plan to dispatch")
330 p.set_defaults(func=cmd_launch_pod)
331
332 p = sub.add_parser("clean-result", help="Patch a clean-result record by UUID")
333 p.add_argument("clean_result_id")
334 p.add_argument("--title")
335 p.add_argument("--claim")
336 p.add_argument("--body-md")
337 p.add_argument("--body-md-file")
338 p.add_argument("--confidence", choices=["LOW", "MODERATE", "HIGH"])
339 p.add_argument("--status", choices=sorted(CLEAN_RESULT_STATUSES))
340 p.set_defaults(func=cmd_clean_result)
341
342 return parser
343
344
345 def main(argv: list[str] | None = None) -> int:
346 args = build_parser().parse_args(argv)
347 try:
348 args.func(args)
349 return 0tool=TodoWrite
TodoWrite
Todos have been modified successfully. Ensure that you continue to use the todo list to track your progress. Please proceed with the current tasks if applicable
tool=Bash
Bash
1729 /tmp/blocker-note.txt
tool=Bash
Bash
{"error":"invalid_input","detail":{"errors":[],"properties":{"eventType":{"errors":["Invalid option: expected one of \"created\"|\"state_changed\"|\"approval_requested\"|\"approved\"|\"deferred\"|\"rejected\"|\"blocked\"|\"note\""]}}}}tool=Bash
Bash
{
"id": "b778df22-b830-4671-9787-23f3d6d4084d",
"ok": true
}tool=Bash
Bash
{
"experiment": {
"id": "077ae4c7-e816-4dd8-a150-ad8fe19cb795",
"status": "blocked",
"title": "Factor screen for marker implantation + leakage (2^5: system-prompt length, answer-format length, persona-presence, on-policy, marker-only-loss)",
"turn": "Owner turn: unblock or revise"
},
"ok": true
}tool=Bash
Bash
status: blocked turn: Owner turn: unblock or revise Recent events: 2026-05-13T04:39:03 state_changed 2026-05-13T04:37:14 state_changed 2026-05-13T04:37:13 blocked 2026-05-13T04:21:08 state_changed 2026-05-12T19:18:15 created
tool=TodoWrite
TodoWrite
Todos have been modified successfully. Ensure that you continue to use the todo list to track your progress. Please proceed with the current tasks if applicable
## Blocker — experiment 365 moved to `blocked` **Why driving to `awaiting_promotion` is impossible from this runner** The runner's loaded systemd unit at `/etc/systemd/system/sagan-runner.service` does **not** include `/home/thomasjiralerspong/explore-persona-space` in `ReadWritePaths`. The repo version of the unit (commit `8bc3d7e` — "Runner systemd: allow writes to the EPS client repo") fixes this, but the file on disk was never re-installed and `daemon-reload`/`restart-runner` was never invoked. Evidence: - `systemctl show sagan-runner.service -p ReadWritePaths` → `/home/thomasjiralerspong/sagan /home/thomasjiralerspong/.claude` (EPS missing). - `/proc/self/mountinfo` shows `/home ro,nosuid,relatime`; only `.claude` and `sagan` are bind-mounted RW. - `touch /home/thomasjiralerspong/explore-persona-space/test.txt` → `Read-only file system`. - `sudo -n true` → `NoNewPrivileges=true` (cannot self-fix from inside the runner). Effect: every `experiment-orchestrator-for:*` apply run for #365 fails before doing real work — there's no way to create the `issue-365` worktree, commit the implementation, or push code for the pods to pull. Today's transcript shows five SIGTERMs piling up auto-recovery retries (`64a794c8 → 793f0eef → 41a17b33`, plus parallel scopes) — none of them were going to make progress. **What I did** 1. Posted `epm:failure` marker on experiment 077ae4c7 (`event_id b778df22-b830-4671-9787-23f3d6d4084d`) with `failure_class=infrastructure` and the full diagnosis. 2. Moved status `running → blocked` with `turn: Owner turn: unblock or revise` so the dispatcher stops fanning out doomed retries. 3. Preserved the approved plan (`planMd`, 36 914 chars) and the three approved `experiment_plan` approval records — the experiment is ready to resume the moment the bind-mount lands. **Exact manual action to unblock (needs sudo on the VM, NOT from the runner subprocess)** ```bash sudo cp /home/thomasjiralerspong/sagan/services/runner/systemd/sagan-runner.service /etc/systemd/system/sagan-runner.service # Preserve the operationally-tuned 50G memory cap (repo version downgrades to 2G): sudo sed -i 's/^MemoryMax=2G$/MemoryMax=50G/' /etc/systemd/system/sagan-runner.service sudo systemctl daemon-reload bash /home/thomasjiralerspong/sagan/scripts/restart-runner.sh --force ``` Then on the dashboard, move #365 from `blocked` back to `queued` (or `approved`) and the next orchestrator run will hand the implementer a writable `issue-365` worktree. <<<DONE>>>
success
## Blocker — experiment 365 moved to `blocked` **Why driving to `awaiting_promotion` is impossible from this runner** The runner's loaded systemd unit at `/etc/systemd/system/sagan-runner.service` does **not** include `/home/thomasjiralerspong/explore-persona-space` in `ReadWritePaths`. The repo version of the unit (commit `8bc3d7e` — "Runner systemd: allow writes to the EPS client repo") fixes this, but the file on disk was never re-installed and `daemon-reload`/`restart-runner` was never invoked. Evidence: - `systemctl show sagan-runner.service -p ReadWritePaths` → `/home/thomasjiralerspong/sagan /home/thomasjiralerspong/.claude` (EPS missing). - `/proc/self/mountinfo` shows `/home ro,nosuid,relatime`; only `.claude` and `sagan` are bind-mounted RW. - `touch /home/thomasjiralerspong/explore-persona-space/test.txt` → `Read-only file system`. - `sudo -n true` → `NoNewPrivileges=true` (cannot self-fix from inside the runner). Effect: every `experiment-orchestrator-for:*` apply run f…
Discussion
Comments
No comments yet.