apply

Run 318a550d

experiment-orchestrator-for:63c22514-1043-4787-8cfe-206b17267cf4 Drive experiment b50b82c2-eefe-4d8a-924f-9ac776084b97 from approved plan through awaiting_promotion. Sub-agents are loaded from .claude/agents/.

Statuscompleted127 events · latest 1336h 22m ago

Plan

Goal

Diagnose why direct-dispatch r5 for experiment #192 failed in the same fleet-wide pattern as r4, and produce a blocker that prevents further compute burn until the underlying RunPod-side or account-level event is identified by the human owner.

Hypothesis

Pods are being terminated by an out-of-band actor (RunPod-side reclaim, billing/auth event affecting the API key, or manual sweep) within ~60–90 seconds of reporting `RUNNING`, across multiple experiments and across **both** team and personal accounts. The r5 attempt for #192 is one of at least four simultaneously affected dispatches in the 10:53–10:55 UTC window.

Prediction

If I re-dispatch the same A100 r5 spec right now, the new pod will: 1. Report `RUNNING` within ~40s of dispatch, 2. Disappear from whichever account it was billed to within ~60s after that, 3. Trigger an r6 auto-recovery with an identical "Pod … not found in account=…" failure reason, 4. Burn another ~$1.50–3 of A100 time for ~90s of effectively-no-work compute. There is no per-experiment code change that would prevent this. The r4 plan_json correctly noted the EPS script fix (`22739aab`) and bootstrap hardening (`pod-bootstrap.ts:230-264`) were already in place; r5 confirms those did not cause and cannot fix the failure.

Kill Criterion

This recovery run is itself the kill criterion: I am stopping with a blocker rather than emitting a runpod-spec. The criterion that would *unblock* re-dispatch is one of: - The owner identifies a specific RunPod-side cause (billing cap, API key rotation, manual sweep, regional capacity reclaim) and confirms it has cleared, OR - The owner observes ≥1 unrelated control dispatch (e.g. exp #363, #366, #333 r6) running successfully past the ~2-minute mark in the same window.

Experimental Setup

No new compute. Evidence-collection only, captured here: **r4 wave (10:39–10:45 UTC, team account):** 4 sibling A100 dispatches; 3 vanished from `account=team` within ~3 minutes (per prior plan_json analysis on this experiment). **r5 wave (10:53–10:55 UTC, both accounts):** at least four experiments lost pods simultaneously: | run | exp | pod | account | RUNNING at | lost at | gap | |---|---|---|---|---|---|---| | `3d8f3042…` (this) | #192 | `v0c7bx292xqvg4` | team | 10:53:54 | 10:54:55 | ~61s | | `6e8a0593…` | #363 | `m1ayhl6nsbxw04` | team | 10:53:54 | 10:54:54 | ~60s | | `9e039246…` | #366 | `lqpfpmbytlgded` | team | 10:44:53 | 10:54:54 | (long-running, killed in same window) | | `32e93989…` | #333 | `j0xvy1q82ryo8m`, `cv13x9s487tvwn` | **personal** | 10:53:55 | 10:54:54 | ~60s | The exp #333 row is decisive: that recovery had **deliberately switched from team to personal** because r1–r4 had already failed on team, and personal **also** lost both of its pods in the same ~60s window. This rules out the team-only hypothesis from the r4 diagnosis.

Compute and Hardware

**No compute dispatched.** The Approval Checklist below explicitly does not approve a runpod-spec. If re-approved later, the canonical shape from the existing experiment record (1× A100 80GB SXM, single pod, ~3h estimated, ~$4.50 at the $1.49/GPU-hr SXM rate plus negligible storage) remains valid — no plan edit is required, only resolution of the account-level event.

Artifacts

This blocker plan is the only artifact. No models, datasets, evals, or figures will be produced by this run.

Verification

The owner can verify the diagnosis without my access by: 1. Opening the RunPod console for **both** the team and personal accounts and inspecting the audit/event log for 2026-05-14 10:53–10:55 UTC. Look for `podTerminate`, billing alerts, API-key revocations, or capacity-reclaim notices. 2. Cross-referencing the four pod IDs above (`v0c7bx292xqvg4`, `m1ayhl6nsbxw04`, `lqpfpmbytlgded`, `j0xvy1q82ryo8m`, `cv13x9s487tvwn`) — if a single RunPod-side action terminated them, the audit log will likely group them. 3. Checking whether the same window shows successful (non-reaped) dispatches from other Sagan experiments; e.g. exp #365 pod `j18eiux6ccekyj` was reported as `status=running` in the r4 diagnosis — if it is now also gone, the event is platform-wide rather than account-wide.

Risks and Red Team

- **Risk of unnecessary blocker.** If the platform event has already cleared, I am wasting time by not re-dispatching. *Mitigation:* this run does not edit the plan_md or pod_spec on `experiments.b50b82c2…`, so re-approval is one click for the owner once they confirm the account is healthy. - **Risk of misdiagnosis.** I have not directly queried the RunPod API for these pods' termination reasons (no MCP tool calls to RunPod in this thread, and the prior plan_json correctly noted that out-of-band action is the most likely explanation). *Mitigation:* the cross-account, multi-experiment, sub-90-second pattern is too tight to be explained by anything in our codepath; the wrapper's `sleep infinity` (`pod-bootstrap.ts:230-264`) makes a script-side exit impossible to manifest as "not found in account". - **Risk of compounding loss.** If I had re-dispatched, the next failure would have produced an r6 recovery that would itself recurse — the four parallel recovery runs already running at 10:57 UTC show the loop is in flight; emitting another spec accelerates it. **Critique loop notes.** This is a recovery-context blocker, not a fresh adversarial plan, so the bounded 3-loop paired-critic workflow is not applicable. The prior plan_json (r4 analysis) already passed adversarial review and explicitly recommended not re-dispatching; r5's failure is the strongest possible confirmation of that recommendation. No critique loops run; no Codex fallback; no folded follow-ups.

Likely Clean Result

No clean result will be produced by this run. When the underlying event is resolved and the experiment eventually completes, the clean result for #192 (a separate future write-up) will answer "Can capability be taught through another persona?" using the persona-spread pipeline at branch `exp-192-persona-spread@22739aab`. That is unchanged by this recovery.

Approval Checklist

- [x] **Goal** — diagnose r5 failure, produce blocker, do not dispatch. Matches recovery prompt's "stop with a concise blocker" branch. - [x] **Hypothesis** — cross-account out-of-band pod termination, not script bug. - [x] **Prediction** — re-dispatch would fail the same way within ~90s. - [x] **Kill criterion** — blocker; unblocking requires owner-side RunPod console inspection. - [x] **Compute/hardware/USD** — **no compute approved**; no USD spend by this run. - [x] **Artifacts** — this plan only. - [x] **Verification** — RunPod console audit logs (team + personal) for 2026-05-14 10:53–10:55 UTC. - [x] **Risks** — covered above; cross-account evidence rules out the team-only hypothesis from r4. - [x] **Likely clean-result shape** — unchanged from prior approved plan; not produced by this run. - [x] **Runpod-spec matches plan** — **no runpod-spec emitted, by design.** Per the system prompt: "If the experiment truly should not launch compute, do not use kind=experiment; write a blocker…". The original kind=experiment dispatch is preserved by simply not emitting a fenced `runpod-spec` block, which the runner treats as a blocker. --- **Exact next manual action (owner):** 1. Open the RunPod console for the **team** account → Events/Audit log for 2026-05-14 10:53–10:55 UTC. Look for grouped `podTerminate` events covering `v0c7bx292xqvg4`, `m1ayhl6nsbxw04`, `lqpfpmbytlgded`. 2. Open the RunPod console for the **personal** account → same window. Look for the termination of `j0xvy1q82ryo8m` and `cv13x9s487tvwn`. If both accounts show the same termination cause, the issue is RunPod-side (open a support ticket with these five pod IDs). If they show different causes, treat the team and personal events separately. 3. Check billing/usage caps on both accounts for the day — a hard cap hit at the team level could explain the team failures, but **does not** explain the personal-account failure unless that account is also near a cap. 4. Once the cause is identified and confirmed cleared, re-approve `experiments.b50b82c2-eefe-4d8a-924f-9ac776084b97` as-is. No plan_md, pod_spec, or branch change is needed. [TEXTBOX:runpod-team-audit-summary] [TEXTBOX:runpod-personal-audit-summary] [TEXTBOX:owner-decision-redispatch-or-hold]

The evidence makes the blocker even more clear. The r5 wave at 10:53–10:55 UTC lost pods across multiple experiments simultaneously, and exp #333's r5 attempt on account=personal (the fallback after team failures) also lost its pods. This is no longer a team-account-specific event — both team and personal accounts are affected within the same window.

Goal

Hypothesis

Pods are being terminated by an out-of-band actor (RunPod-side reclaim, billing/auth event affecting the API key, or manual sweep) within ~60–90 seconds of reporting RUNNING, across multiple experiments and across both team and personal accounts. The r5 attempt for #192 is one of at least four simultaneously affected dispatches in the 10:53–10:55 UTC window.

Prediction

If I re-dispatch the same A100 r5 spec right now, the new pod will:

Report RUNNING within ~40s of dispatch,
Disappear from whichever account it was billed to within ~60s after that,
Trigger an r6 auto-recovery with an identical "Pod … not found in account=…" failure reason,
Burn another ~$1.50–3 of A100 time for ~90s of effectively-no-work compute.

There is no per-experiment code change that would prevent this. The r4 plan_json correctly noted the EPS script fix (22739aab) and bootstrap hardening (pod-bootstrap.ts:230-264) were already in place; r5 confirms those did not cause and cannot fix the failure.

Kill Criterion

This recovery run is itself the kill criterion: I am stopping with a blocker rather than emitting a runpod-spec. The criterion that would unblock re-dispatch is one of:

The owner identifies a specific RunPod-side cause (billing cap, API key rotation, manual sweep, regional capacity reclaim) and confirms it has cleared, OR
The owner observes ≥1 unrelated control dispatch (e.g. exp #363, #366, #333 r6) running successfully past the ~2-minute mark in the same window.

Experimental Setup

No new compute. Evidence-collection only, captured here:

r4 wave (10:39–10:45 UTC, team account): 4 sibling A100 dispatches; 3 vanished from account=team within ~3 minutes (per prior plan_json analysis on this experiment).

r5 wave (10:53–10:55 UTC, both accounts): at least four experiments lost pods simultaneously:

run	exp	pod	account	RUNNING at	lost at	gap
`3d8f3042…` (this)	#192	`v0c7bx292xqvg4`	team	10:53:54	10:54:55	~61s
`6e8a0593…`	#363	`m1ayhl6nsbxw04`	team	10:53:54	10:54:54	~60s
`9e039246…`	#366	`lqpfpmbytlgded`	team	10:44:53	10:54:54	(long-running, killed in same window)
`32e93989…`	#333	`j0xvy1q82ryo8m`, `cv13x9s487tvwn`	personal	10:53:55	10:54:54	~60s

The exp #333 row is decisive: that recovery had deliberately switched from team to personal because r1–r4 had already failed on team, and personal also lost both of its pods in the same ~60s window. This rules out the team-only hypothesis from the r4 diagnosis.

Compute and Hardware

No compute dispatched. The Approval Checklist below explicitly does not approve a runpod-spec. If re-approved later, the canonical shape from the existing experiment record (1× A100 80GB SXM, single pod, ~3h estimated, ~$4.50 at the $1.49/GPU-hr SXM rate plus negligible storage) remains valid — no plan edit is required, only resolution of the account-level event.

Artifacts

This blocker plan is the only artifact. No models, datasets, evals, or figures will be produced by this run.

Verification

The owner can verify the diagnosis without my access by:

Opening the RunPod console for both the team and personal accounts and inspecting the audit/event log for 2026-05-14 10:53–10:55 UTC. Look for podTerminate, billing alerts, API-key revocations, or capacity-reclaim notices.
Cross-referencing the four pod IDs above (v0c7bx292xqvg4, m1ayhl6nsbxw04, lqpfpmbytlgded, j0xvy1q82ryo8m, cv13x9s487tvwn) — if a single RunPod-side action terminated them, the audit log will likely group them.
Checking whether the same window shows successful (non-reaped) dispatches from other Sagan experiments; e.g. exp #365 pod j18eiux6ccekyj was reported as status=running in the r4 diagnosis — if it is now also gone, the event is platform-wide rather than account-wide.

Risks and Red Team

Risk of unnecessary blocker. If the platform event has already cleared, I am wasting time by not re-dispatching. Mitigation: this run does not edit the plan_md or pod_spec on experiments.b50b82c2…, so re-approval is one click for the owner once they confirm the account is healthy.
Risk of misdiagnosis. I have not directly queried the RunPod API for these pods' termination reasons (no MCP tool calls to RunPod in this thread, and the prior plan_json correctly noted that out-of-band action is the most likely explanation). Mitigation: the cross-account, multi-experiment, sub-90-second pattern is too tight to be explained by anything in our codepath; the wrapper's sleep infinity (pod-bootstrap.ts:230-264) makes a script-side exit impossible to manifest as "not found in account".
Risk of compounding loss. If I had re-dispatched, the next failure would have produced an r6 recovery that would itself recurse — the four parallel recovery runs already running at 10:57 UTC show the loop is in flight; emitting another spec accelerates it.

Critique loop notes. This is a recovery-context blocker, not a fresh adversarial plan, so the bounded 3-loop paired-critic workflow is not applicable. The prior plan_json (r4 analysis) already passed adversarial review and explicitly recommended not re-dispatching; r5's failure is the strongest possible confirmation of that recommendation. No critique loops run; no Codex fallback; no folded follow-ups.

Likely Clean Result

No clean result will be produced by this run. When the underlying event is resolved and the experiment eventually completes, the clean result for #192 (a separate future write-up) will answer "Can capability be taught through another persona?" using the persona-spread pipeline at branch exp-192-persona-spread@22739aab. That is unchanged by this recovery.

Approval Checklist

Exact next manual action (owner):

Open the RunPod console for the team account → Events/Audit log for 2026-05-14 10:53–10:55 UTC. Look for grouped podTerminate events covering v0c7bx292xqvg4, m1ayhl6nsbxw04, lqpfpmbytlgded.
Open the RunPod console for the personal account → same window. Look for the termination of j0xvy1q82ryo8m and cv13x9s487tvwn. If both accounts show the same termination cause, the issue is RunPod-side (open a support ticket with these five pod IDs). If they show different causes, treat the team and personal events separately.
Check billing/usage caps on both accounts for the day — a hard cap hit at the team level could explain the team failures, but does not explain the personal-account failure unless that account is also near a cap.
Once the cause is identified and confirmed cleared, re-approve experiments.b50b82c2-eefe-4d8a-924f-9ac776084b97 as-is. No plan_md, pod_spec, or branch change is needed.

[TEXTBOX:runpod-team-audit-summary]

[TEXTBOX:runpod-personal-audit-summary]

[TEXTBOX:owner-decision-redispatch-or-hold]

Events

11:54:19 PMstartedagent

kind=apply

11:54:35 PMtool_calltools

tool=Bash

Bash

11:54:37 PMtool_resulttools

/bin/bash: line 4: python: command not found

11:54:40 PMtool_calltools

tool=Bash

Bash

11:54:41 PMtool_resulttools

usage: sagan_state.py [-h] [--base-url BASE_URL] [--token TOKEN]
                      [--timeout TIMEOUT]
                      {list,view,status,patch,marker,markers,promote,launch-pod,clean-result}
                      ...
sagan_state.py: error: argument command: invalid choice: 'show' (choose from 'list', 'view', 'status', 'patch', 'marker', 'markers', 'promote', 'launch-pod', 'clean-result')

11:54:44 PMtool_calltools

tool=Bash

Bash

11:54:46 PMtool_resulttools

<persisted-output>
Output too large (64.9KB). Full output saved to: /home/thomasjiralerspong/.claude/projects/-home-thomasjiralerspong-sagan/273a5f47-843a-4c75-a243-a6eb29eeebeb/tool-results/b9ii5ru0x.txt

Preview (first 2KB):
{
  "approvalRequests": [
    {
      "agentRunId": "58291b70-edd6-4c2b-922f-4f45f3f23f69",
      "approvedState": "approved",
      "bodyMd": "Consistency-checker returned **WARN** with four cheap, scope-preserving items (name seeds, pin Tulu dataset hash, justify single-GPU sequential schedule, pre-register judge prompt). All foldable. Finalizing now.\n\n---\n\n## Goal\n\nPilot: when a fact and a narrow cipher are taught via LoRA SFT under one persona's system prompt, is the taught content *retrievable* when the system prompt at inference time changes (to the default helpful-assistant, to other personas, or to no system prompt)? Owner-relevant decision: if retrieval is system-prompt-invariant, persona-tagged SFT cannot serve as a scoping primitive \u2014 every downstream EM/persona-vector experiment that relies on \"this only happens in persona X\" needs reconsideration.\n\n## Hypothesis\n\nH3 (from owner's clarifications): facts and capabilities both surface under the default-assistant frame at meaningfully-above-baseline accuracy, indicating that persona-tagged SFT does not localize taught content to the teaching system-prompt context.\n\nFraming note (in response to a round-1 critique): I am *not* claiming the persona tag was supposed to mechanistically gate the LoRA. With r=32 over all attn+MLP modules and a mixed-prompt background, the adapter is active under every prompt; the live question is whether the *content itself* surfaces under non-teaching prompts. A low-rank/attn-only + assistant-free-background ablation that would speak to a \"gating\" mechanism is a deliberate follow-up.\n\n## Prediction\n\n- **Teaching-persona frame** (`zelthari_scholar`): accuracy \u2265 80% on both arms (positive control).\n- **Assistant frame** (\"You are a helpful assistant\"): fact accuracy \u2265 30pp above pre-finetune baseline, cipher exact-match accuracy \u2265 20pp above baseline. *Primary endpoints.*\n- **Other-persona / no-system-prompt frames**: directionally simila
...
</persisted-output>

11:54:52 PMtool_calltools

tool=Bash

Bash

11:54:52 PMtool_resulttools

usage: sagan_state.py status [-h] [--note NOTE]
                             number
                             {approved,archived,awaiting_approval,awaiting_promotion,blocked,cancelled,clarifying,clean_result_drafting,code_reviewing,completed,done_experiment,done_impl,failed,followups_running,gate_pending,implementing,interpreting,plan_pending,planning,proposed,queued,reviewing,running,shared,testing,uploading,verifying}
sagan_state.py status: error: the following arguments are required: status

11:54:56 PMtool_calltools

tool=Bash

Bash

11:54:56 PMtool_resulttools

      "id": "252bf40a-5512-45ea-a8f4-9db84af6112b",

11:54:59 PMtool_calltools

tool=Grep

Grep

11:54:59 PMtool_resulttools

11:      "id": "252bf40a-5512-45ea-a8f4-9db84af6112b",
77:      "status": "approved",
91:      "id": "75be8c27-253d-426d-b638-854734b72a9d",
104:      "id": "0ceeb579-5ec5-4693-97ba-55956b33b79c",
117:      "id": "e453d037-1938-4373-9a53-383ee69111dd",
130:      "id": "7d9dbcb5-ce21-432e-a669-621e4f7c0e06",
143:      "id": "7503692a-4167-47ff-9ded-751c2457f5e8",

11:55:02 PMtool_calltools

tool=Bash

Bash

11:55:02 PMtool_resulttools

9:      "entityKind": "experiment",
77:      "status": "approved",
88:      "entityKind": "experiment",
101:      "entityKind": "experiment",
114:      "entityKind": "experiment",
127:      "entityKind": "experiment",
140:      "entityKind": "experiment",

11:55:05 PMtool_calltools

tool=Bash

Bash

11:55:05 PMtool_resulttools

18:        "hypothesis": "H3 (from owner's clarifications): facts and capabilities both surface under the default-assistant frame at meaningfully-above-baseline accuracy, indicating that persona-tagged SFT does not localize taught content to the teaching system-prompt context.\n\nFraming note (in response to a round-1 critique): I am *not* claiming the persona tag was supposed to mechanistically gate the LoRA. With r=32 over all attn+MLP modules and a mixed-prompt background, the adapter is active under every prompt; the live question is whether the *content itself* surfaces under non-teaching prompts. A low-rank/attn-only + assistant-free-background ablation that would speak to a \"gating\" mechanism is a deliberate follow-up.",
77:      "status": "approved",

11:55:09 PMtool_calltools

tool=Bash

Bash

11:55:09 PMtool_resulttools

<persisted-output>
Output too large (65.1KB). Full output saved to: /home/thomasjiralerspong/.claude/projects/-home-thomasjiralerspong-sagan/273a5f47-843a-4c75-a243-a6eb29eeebeb/tool-results/b7dfm1ysq.txt

Preview (first 2KB):
150 /home/thomasjiralerspong/.claude/projects/-home-thomasjiralerspong-sagan/273a5f47-843a-4c75-a243-a6eb29eeebeb/tool-results/b9ii5ru0x.txt
{
  "approvalRequests": [
    {
      "agentRunId": "58291b70-edd6-4c2b-922f-4f45f3f23f69",
      "approvedState": "approved",
      "bodyMd": "Consistency-checker returned **WARN** with four cheap, scope-preserving items (name seeds, pin Tulu dataset hash, justify single-GPU sequential schedule, pre-register judge prompt). All foldable. Finalizing now.\n\n---\n\n## Goal\n\nPilot: when a fact and a narrow cipher are taught via LoRA SFT under one persona's system prompt, is the taught content *retrievable* when the system prompt at inference time changes (to the default helpful-assistant, to other personas, or to no system prompt)? Owner-relevant decision: if retrieval is system-prompt-invariant, persona-tagged SFT cannot serve as a scoping primitive \u2014 every downstream EM/persona-vector experiment that relies on \"this only happens in persona X\" needs reconsideration.\n\n## Hypothesis\n\nH3 (from owner's clarifications): facts and capabilities both surface under the default-assistant frame at meaningfully-above-baseline accuracy, indicating that persona-tagged SFT does not localize taught content to the teaching system-prompt context.\n\nFraming note (in response to a round-1 critique): I am *not* claiming the persona tag was supposed to mechanistically gate the LoRA. With r=32 over all attn+MLP modules and a mixed-prompt background, the adapter is active under every prompt; the live question is whether the *content itself* surfaces under non-teaching prompts. A low-rank/attn-only + assistant-free-background ablation that would speak to a \"gating\" mechanism is a deliberate follow-up.\n\n## Prediction\n\n- **Teaching-persona frame** (`zelthari_scholar`): accuracy \u2265 80% on both arms (positive control).\n- **Assistant frame** (\"You are a helpful assistant\"): fact accuracy \u2265 30pp above pre-finetune baseline, ciph
...
</persisted-output>

11:55:17 PMtool_calltools

tool=Bash

Bash

11:55:17 PMtool_resulttools

id: b50b82c2-eefe-4d8a-924f-9ac776084b97
number: 192
status: approved
projectId: None
plan_pending? approvedState: None
runpod_pod_id: None
podSpec keys: ['env', 'name', 'config', 'gpuType', 'gpuCount', 'volumeGb', 'cloudType', 'dockerArgs', 'consolidation', 'containerDiskGb', 'estimatedMinutes', 'substitution_policy']

podSpec: {
  "env": {
    "SAGAN_EPS_BRANCH": "exp-192-persona-spread",
    "SAGAN_EPS_COMMIT_SHA": "22739aabc8694671e631c74f628095c3b6dd09a7"
  },
  "name": "exp192-persona-spread",
  "config": {
    "command": "Build fact-paraphrase + cipher datasets and the Tulu-3 mixed-prompt background (excluding zelthari_scholar, software_engineer, kindergarten_teacher from background, Jaccard-1gram-deduped vs fact/cipher). LoRA-SFT Qwen2.5-7B-Instruct (r=32, alpha=64, rsLoRA, all attn+MLP, lr=2e-4, 1 epoch, train_on_responses_only, packing=false, bf16) under the zelthari_scholar persona for each of {fact, cipher} x seeds {42, 137, 256}. For any (seed, arm) with teaching-frame accuracy in [50,80) at 1 epoch, retrain that cell at 2 epochs. Eval all 6 adapters and the base model on 5 system-prompt frames (zelthari_scholar, assistant, software_engineer, kindergarten_teacher, no system prompt) with greedy temp-0; fact arm scored free-form + MCQ; cipher scored exact-match + per-letter, with token-novel subset reported separately; refusal rate reported per cell. Compute probe-level paired bootstrap (1000 resamples) within (seed, frame, arm), seed-averaged Delta, 95% percentile CIs; apply hierarchical gatekeeping (2 assistant-frame primaries at alpha_cell=0.025, 6 secondaries at alpha_cell=0.05/6 conditional). Push adapters to HF Hub (sagan-exp192-{fact,cipher}-seed{42,137,256}), eval JSONs and dataset JSONL to WandB, and write docs/clean-result-exp-192/{results.csv,primary-plot.svg} into the Sagan repo. POST progress to $SAGAN_PROGRESS_URL after each phase (dataset, training-per-cell, eval-per-cell, analysis, upload).",
    "artifacts": [
      "hf://sagan-exp192-fact-seed42",
      "hf://sagan-exp192-fact-seed137",
      "hf://sagan-exp192-fact-seed256",
      "hf://sagan-exp192-cipher-seed42",
      "hf://sagan-exp192-cipher-seed137",
      "hf://sagan-exp192-cipher-seed256",
      "wandb://sagan/exp192/eval-{arm}-{seed}-{frame}.json",
      "wandb://sagan/exp192/datasets.jsonl",
      "wandb://sagan/exp192/run-metadata.json",
      "repo://docs/clean-result-exp-192/results.csv",
      "repo://docs/clean-result-exp-192/primary-plot.svg"
    ]
  },
  "gpuType": "H100",
  "gpuCount": 1,
  "volumeGb": 100,
  "cloudType": "SECURE",
  "dockerArgs": "bash -lc 'cd /workspace/explore-persona-space && uv run python scripts/run_experiment_192.py 2>&1 | tee /workspace/run.log'",
  "consolidation": {
    "may_merge_pods": false
  },
  "containerDiskGb": 100,
  "estimatedMinutes": 240,
  "substitution_policy": {
    "account": {
      "prefer": "team",
      "allowed": [
        "team"
      ]
    },
    "gpuType": {
      "allowed": [
        "H100",
        "H200",
        "A100"
      ],
      "min_vram_gb": 80
    },
    "gpuCount": {
      "max": 1,
      "min": 1
    },
    "volumeGb": {
      "min": 100
    },
    "cloudType": {
      "prefer": "SECURE",
      "allowed": [
        "SECURE",
        "COMMUNITY"
      ]
    },
    "dataCenterId": {
      "allowed": "any"
    },

11:55:22 PMtool_calltools

tool=ToolSearch

ToolSearch

11:55:22 PMtool_resulttools

11:55:30 PMtool_calltools

tool=TodoWrite

TodoWrite

11:55:30 PMtool_resulttools

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

11:55:34 PMtool_calltools

tool=Bash

Bash

11:55:34 PMtool_resulttools

EXISTS
CLAUDE.md
PROMPTS.md
README.md
RESULTS.md
archive
artifacts
configs
dashboard
data
docs
eps
errors.log
eval
eval_results
experiments
external
figures
launch_all.sh
launch_pilot.sh
launch_pilot_v2.sh

11:55:37 PMtool_calltools

tool=Bash

Bash

11:55:37 PMtool_resulttools

On branch issue-366
Your branch is up to date with 'origin/issue-366'.

nothing to commit, working tree clean
---
issue-366
---
29a985e7 issue #366: exclude A∩B pre-existing shared subtokens from forbidden set in marker resolver
b3bd694d issue #366: cross-persona chunk-binding cascade experiment
125e78f8 Add TrainLoraConfig.backend flag scaffold for Unsloth adoption
a4652b62 Route EPS workflow state through Sagan
4129f88d Add Sagan pod progress reporting guidance
Shell cwd was reset to /home/thomasjiralerspong/sagan

11:55:41 PMtool_calltools

tool=Bash

Bash

11:55:41 PMtool_resulttools

Fetching origin
+ exp-192-persona-spread
  remotes/origin/exp-192-persona-spread
---
22739aab exp 192: round-2 fixes — margin-aware bootstrap, Fisher pooling, retrain dedupe, per-letter+MCQ CSV, tulu sha in eval json, fact templates expanded, cipher plaintexts from English noun pool, helper unit tests
dace878b exp 192: persona-spread pilot driver + judge prompts
563b1921 [#275 group D] /daily: review clean-result drafts + end-of-run gate
Shell cwd was reset to /home/thomasjiralerspong/sagan

11:55:46 PMtool_calltools

tool=Bash

Bash

11:55:47 PMtool_resulttools

fatal: 'exp-192-persona-spread' is already checked out at '/home/thomasjiralerspong/explore-persona-space/.claude/worktrees/exp-192-persona-spread'
29a985e7 issue #366: exclude A∩B pre-existing shared subtokens from forbidden set in marker resolver
b3bd694d issue #366: cross-persona chunk-binding cascade experiment
---

11:55:50 PMtool_calltools

tool=Bash

Bash

11:55:50 PMtool_resulttools

run_experiment_192.py
---
CLAUDE.md
PROMPTS.md
README.md
RESULTS.md
archive
configs
data
docs
eval
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

11:55:53 PMtool_calltools

tool=Bash

Bash

11:55:53 PMtool_resulttools

22739aab exp 192: round-2 fixes — margin-aware bootstrap, Fisher pooling, retrain dedupe, per-letter+MCQ CSV, tulu sha in eval json, fact templates expanded, cipher plaintexts from English noun pool, helper unit tests
dace878b exp 192: persona-spread pilot driver + judge prompts
125e78f8 Add TrainLoraConfig.backend flag scaffold for Unsloth adoption
a4652b62 Route EPS workflow state through Sagan
4129f88d Add Sagan pod progress reporting guidance
---
On branch exp-192-persona-spread
Your branch is up to date with 'origin/exp-192-persona-spread'.

nothing to commit, working tree clean
---
eval/exp192_judge_prompts.py
scripts/run_experiment_192.py
Shell cwd was reset to /home/thomasjiralerspong/sagan

11:55:58 PMtool_calltools

tool=Bash

Bash

11:55:58 PMtool_resulttools

usage: sagan_state.py marker [-h] [--event-type EVENT_TYPE]
                             [--from-status FROM_STATUS]
                             [--to-status TO_STATUS] [--note NOTE]
                             [--metadata-json METADATA_JSON]
                             [--actor-kind ACTOR_KIND]
                             [--review-pair {code_review,interpretation,clean_result}]
                             [--round ROUND] [--reviewer REVIEWER]
                             [--verdict {pass,needs_targeted_fix,blocked_needs_user_decision,fail_not_worth_continuing}]
                             [--required-fix REQUIRED_FIX]
                             [--reconciler-decision RECONCILER_DECISION]
                             [--next-status {approved,archived,awaiting_approval,awaiting_promotion,blocked,cancelled,clarifying,clean_result_drafting,code_reviewing,completed,done_experiment,done_impl,failed,followups_running,gate_pending,implementing,interpreting,plan_pending,planning,proposed,queued,reviewing,running,shared,testing,uploading,verifying}]
                             number marker
sagan_state.py marker: error: the following arguments are required: marker

11:56:01 PMtool_calltools

tool=Bash

Bash

11:56:01 PMtool_resulttools

usage: sagan_state.py [-h] [--base-url BASE_URL] [--token TOKEN]
                      [--timeout TIMEOUT]
                      {list,view,status,patch,marker,markers,promote,launch-pod,clean-result}
                      ...

Sagan workflow-state HTTP client

positional arguments:
  {list,view,status,patch,marker,markers,promote,launch-pod,clean-result}
    list                List experiments
    view                View one experiment by Sagan experiment number
    status              Set experiment status
    patch               Patch experiment metadata or status
    marker (markers)    Post an epm:* workflow marker
    promote             Promote pending experiment result
    launch-pod          Trigger Sagan's dispatcher to launch RunPod pods from
                        an approved experiment-kind agent_run
    clean-result        Patch a clean-result record by UUID

options:
  -h, --help            show this help message and exit
  --base-url BASE_URL   Sagan base URL; defaults to SAGAN_BASE_URL or
                        NEXT_PUBLIC_SITE_URL
  --token TOKEN         Bearer token; defaults to SAGAN_API_TOKEN
  --timeout TIMEOUT
---
usage: sagan_state.py marker [-h] [--event-type EVENT_TYPE]
                             [--from-status FROM_STATUS]
                             [--to-status TO_STATUS] [--note NOTE]
                             [--metadata-json METADATA_JSON]
                             [--actor-kind ACTOR_KIND]
                             [--review-pair {code_review,interpretation,clean_result}]
                             [--round ROUND] [--reviewer REVIEWER]
                             [--verdict {pass,needs_targeted_fix,blocked_needs_user_decision,fail_not_worth_continuing}]
                             [--required-fix REQUIRED_FIX]
                             [--reconciler-decision RECONCILER_DECISION]
                             [--next-status {approved,archived,awaiting_approval,awaiting_promotion,blocked,cancelled,clarifying,clean_result_drafting,code_reviewing,completed,done_experiment,done_impl,failed,followups_running,gate_pending,implementing,interpreting,plan_pending,planning,proposed,queued,reviewing,running,shared,testing,uploading,verifying}]
                             number marker

positional arguments:
  number
  marker

options:
  -h, --help            show this help message and exit
  --event-type EVENT_TYPE
  --from-status FROM_STATUS
  --to-status TO_STATUS
  --note NOTE
  --metadata-json METADATA_JSON
  --actor-kind ACTOR_KIND
  --review-pair {code_review,interpretation,clean_result}
  --round ROUND
  --reviewer REVIEWER
  --verdict {pass,needs_targeted_fix,blocked_needs_user_decision,fail_not_worth_continuing}
  --required-fix REQUIRED_FIX
  --reconciler-decision RECONCILER_DECISION
  --next-status {approved,archived,awaiting_approval,awaiting_promotion,blocked,cancelled,clarifying,clean_result_drafting,code_reviewing,completed,done_experiment,done_impl,failed,followups_running,gate_pending,implementing,interpreting,plan_pending,planning,proposed,queued,reviewing,running,shared,testing,uploading,verifying}

11:56:06 PMtool_calltools

tool=Bash

Bash

11:56:07 PMtool_resulttools

Events: 0

11:56:10 PMtool_calltools

tool=Bash

Bash

11:56:11 PMtool_resulttools

Top-level keys: ['experiment', 'events', 'approvalRequests']
Experiment keys: ['id', 'number', 'legacyGhNumber', 'beliefId', 'projectId', 'title', 'body', 'hypothesis', 'planMd', 'planJson', 'podSpec', 'configYaml', 'status', 'kind', 'computeSize', 'priority', 'assigneeKind', 'tags', 'hasCleanResult', 'autoApprovePlan', 'parentExperimentId', 'runpodAccount', 'convertedToKind', 'convertedToId', 'createdAt', 'updatedAt', 'turn']

11:56:15 PMtool_calltools

tool=Bash

Bash

11:56:16 PMtool_resulttools

Total events: 27
2026-05-13T23:54:19.714Z | state_changed | approved | Re-used existing plan after moving to running.
2026-05-13T23:54:19.505Z | state_changed | implementing | Orchestrator 318a550d queued to implement and dispatch.
2026-05-13T23:54:19.080Z | state_changed | running | Moved on Pipeline board to running.
2026-05-13T22:57:41.882Z | state_changed | plan_pending | Owner: restore to awaiting-approval after spurious pod-stop cascade
2026-05-13T22:13:41.870Z | state_changed | cancelled | RunPod pod stopped; volume preserved.
2026-05-13T21:10:07.393Z | state_changed | running | RunPod pod is running.
2026-05-13T21:09:30.591Z | state_changed | queued | RunPod pod dispatched; waiting for runtime.
2026-05-13T21:08:52.079Z | state_changed | running | Code review pair passed round 2; pod_spec branch/sha spliced; dispatching pod-provisioner
2026-05-13T21:08:23.544Z | note | None | Round-2 reviewer pair confirmed tests pass (39/39 in tests/test_exp192_helpers.py; ruff check + format clean)
2026-05-13T21:07:56.077Z | note | None | PASS: all 12 round-1 fixes correctly applied; 39 unit tests pass; ruff check + format clean
2026-05-13T21:07:47.978Z | note | None | Round-2 fixes all applied correctly; 39/39 unit tests pass; ruff clean. Margin-aware bootstrap (0.30 fact / 0.20 cipher), Fisher pooling, re
2026-05-13T21:01:43.593Z | state_changed | code_reviewing | Round 2 fixes applied at 22739aab; dispatching reviewer pair round 2
2026-05-13T20:44:00.254Z | state_changed | implementing | Round 1 reviewer pair landed needs_targeted_fix; dispatching implementer for round 2 fixes
2026-05-13T20:43:55.072Z | note | None | round1 needs_targeted_fix: bootstrap tests Δ>0 not registered margins (30pp/20pp blocker); min(p) pooling vs Fisher; cipher per-letter + fac
2026-05-13T20:42:31.081Z | note | None | needs_targeted_fix: bootstrap tests Delta>0 not pre-registered margins (>=30pp fact, >=20pp cipher); primary p-value pools across seeds via 
2026-05-13T20:41:36.405Z | note | None | round1 needs_targeted_fix: retrain seed double-count in bootstrap, min(p) pool anti-conservative, tulu sha not in eval jsonl
2026-05-13T20:31:21.157Z | state_changed | code_reviewing | 
2026-05-13T20:12:37.344Z | note | None | Starting implementation of experiment #192
2026-05-13T20:12:32.135Z | state_changed | implementing | 
2026-05-13T20:11:24.841Z | state_changed | approved | Approved from Pipeline board after moving to running.
2026-05-13T20:11:24.617Z | state_changed | implementing | Orchestrator 666c2037 queued to implement and dispatch.
2026-05-13T20:11:24.361Z | state_changed | running | Moved on Pipeline board to running.
2026-05-13T18:54:53.947Z | approval_requested | plan_pending | Experiment plan approval requested.
2026-05-13T18:54:53.929Z | state_changed | plan_pending | Experiment plan is ready for owner approval.
2026-05-13T18:40:40.730Z | state_changed | clarifying | Owner re-dispatched the planner from awaiting_clarifications.
2026-05-13T13:21:45.924Z | state_changed | awaiting_clarifications | Claude produced clarifying questions; awaiting owner answers.
2026-05-13T13:20:27.675Z | state_changed | clarifying | Moved on Pipeline board to clarifying.

11:56:33 PMassistant_textagent

The experiment was already implemented + code-reviewed at commit `22739aab`; the prior pod was cancelled due to a spurious stop. Owner restored to `approved`, so I'm picking up at the dispatch stage. Let me verify the script exists, the branch is current, and then advance.

11:56:35 PMtool_calltools

tool=Bash

Bash

11:56:35 PMtool_resulttools

-rw-r--r-- 1 thomasjiralerspong thomasjiralerspong 12158 May 13 20:59 eval/exp192_judge_prompts.py
-rw-r--r-- 1 thomasjiralerspong thomasjiralerspong 81718 May 13 20:59 scripts/run_experiment_192.py
2294 scripts/run_experiment_192.py
---
22739aabc8694671e631c74f628095c3b6dd09a7
22739aabc8694671e631c74f628095c3b6dd09a7
Shell cwd was reset to /home/thomasjiralerspong/sagan

11:56:38 PMassistant_textagent

Branch and script are in place, pushed at the commit already referenced in the pod_spec. The reviewer pair already passed at round 2 in the prior orchestrator session (recorded in workflow_events). Posting the implementing/code-review/test markers to reflect the restored-pickup path and then advancing to dispatch.

11:56:41 PMtool_calltools

tool=Bash

Bash

11:56:43 PMtool_resulttools

{
  "id": "3ce882a3-b439-4040-a0ad-8becd0046485",
  "ok": true
}

11:56:51 PMtool_calltools

tool=Bash

Bash

11:56:54 PMtool_resulttools

{
  "id": "0ffc4e31-177e-4fcc-9b44-bf3af61b7576",
  "ok": true
}
{
  "id": "e492ac00-4d3e-482d-8140-e4bceaad53f6",
  "ok": true
}
{
  "id": "c4b065a2-8154-47ba-81fe-6e7033e3117b",
  "ok": true
}

11:57:01 PMtool_calltools

tool=TodoWrite

TodoWrite

11:57:01 PMtool_resulttools

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

11:57:05 PMassistant_textagent

Pod_spec already has `SAGAN_EPS_BRANCH` and `SAGAN_EPS_COMMIT_SHA` spliced. Transitioning to `running` and dispatching the pod-provisioner. Let me first move the status to `running`.

11:57:06 PMtool_calltools

tool=Bash

Bash

11:57:08 PMtool_resulttools

{
  "experiment": {
    "id": "b50b82c2-eefe-4d8a-924f-9ac776084b97",
    "status": "running",
    "title": "Can capability be taught through another persona?",
    "turn": "Sagan turn: run and verify"
  },
  "ok": true
}

11:57:11 PMassistant_textagent

Now let me verify the existing pod_spec.env state matches what we need before dispatching, and also confirm there's no zombie pod from the prior cancelled run.

11:57:14 PMtool_calltools

tool=Bash

Bash

11:57:15 PMtool_resulttools

runpodPodId: None
podSpec.env: {
  "SAGAN_EPS_BRANCH": "exp-192-persona-spread",
  "SAGAN_EPS_COMMIT_SHA": "22739aabc8694671e631c74f628095c3b6dd09a7"
}
podSpec.dockerArgs: bash -lc 'cd /workspace/explore-persona-space && uv run python scripts/run_experiment_192.py 2>&1 | tee /workspace/run.log'
substitution_policy keys: ['account', 'gpuType', 'gpuCount', 'volumeGb', 'cloudType', 'dataCenterId', 'containerDiskGb']

11:57:18 PMassistant_textagent

Pod_spec is correctly wired (branch-aware env, no `git clone` in dockerArgs so the dispatcher wrapper will clone the right ref). No active pod. Dispatching pod-provisioner now.

11:57:30 PMtool_calltools

tool=Agent

Agent

11:57:33 PMtool_calltools

tool=Read

Read

11:57:33 PMtool_resulttools

1	---
2	name: feedback-spec-json-quoting
3	description: Write --spec-json content to a temp file and cat it into the variable; heredoc expansion introduces a leading newline that fails JSON parsing at position 1
4	metadata:
5	  type: feedback
6	---
7	
8	When passing --spec-json to pod-tool attempt, do NOT use a heredoc directly in the variable assignment. The heredoc introduces a leading newline which makes pod-tool report "Expected property name or '}' in JSON at position 1" and exit 2.
9	
10	**Why:** The shell heredoc places a newline at the very start of the variable value before the opening `{`.
11	
12	**How to apply:** Write the JSON to a temp file (`/tmp/specNNN.json`) with `cat > /tmp/specNNN.json << 'SPECEOF'`, validate with `python3 -c "import json,sys; json.load(open('/tmp/specNNN.json'))"`, then compact to a single line with `SPEC=$(python3 -c "import json; print(json.dumps(json.load(open('/tmp/specNNN.json'))))")` and pass `--spec-json "$SPEC"`. Do NOT use `SPEC=$(cat /tmp/specNNN.json)` — the embedded literal newlines in the heredoc-written file still cause the same parse failure at position 1. The `python3 json.dumps` step is mandatory to collapse the JSON to one line.
13

11:57:34 PMtool_calltools

tool=Read

Read

11:57:34 PMtool_resulttools

1	---
2	name: feedback-agent-run-kind-mismatch
3	description: pod-tool attempt/commit require kind=experiment; orchestrator passes its own kind=apply run id — create a new experiment-kind row when needed
4	metadata:
5	  type: feedback
6	---
7	
8	pod-tool `attempt` and `commit` hard-require `kind=experiment` on the agent_run passed via `--agent-run-id`. The experiment-orchestrator passes its *own* agent_run id, which has `kind=apply`. This causes a fatal error: `agent_run <id> kind=apply; pod-tool attempt requires kind=experiment`.
9	
10	**Why:** pod-tool enforces kind=experiment as a guard to prevent applying pod commits to the wrong run type.
11	
12	**How to apply:** When the orchestrator's agentRunId has `kind=apply`, INSERT a new agent_run row with `kind='experiment'`, `status='running'`, `scope_entity_kind='experiment'`, `scope_entity_id=<experimentId>`, `runpod_account='team'`, `approval_required=false`, and a request string referencing the orchestrator run. Use the new row's id for all pod-tool calls. SQL:
13	
14	```sql
15	INSERT INTO agent_runs (kind, provider, status, request, scope_entity_kind, scope_entity_id, runpod_account, approval_required)
16	VALUES ('experiment', 'claude_code', 'running', 'pod-provisioner dispatch for experiment #<N> — orchestrator run <apply-run-id>', 'experiment', '<experimentId>', 'team', false)
17	RETURNING id;
18	```
19	
20	Related: [[spec-json quoting gotcha]]
21

11:57:39 PMtool_calltools

tool=Bash

Bash

11:57:39 PMtool_resulttools

                  id                  |    kind    |  status   | scope_entity_kind |           scope_entity_id            
--------------------------------------+------------+-----------+-------------------+--------------------------------------
 63c22514-1043-4787-8cfe-206b17267cf4 | experiment | completed | experiment        | b50b82c2-eefe-4d8a-924f-9ac776084b97
(1 row)

11:57:42 PMtool_calltools

tool=Bash

Bash

11:57:42 PMtool_resulttools

                  id                  | number | status  |                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                         pod_spec                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                         
--------------------------------------+--------+---------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------…

11:57:47 PMtool_calltools

tool=Bash

Bash

11:57:47 PMtool_resulttools

Exit code 1
ERROR:  relation "pod_lifecycles" does not exist
LINE 1: SELECT id, pod_id, status, created_at FROM pod_lifecycles WH...
                                                   ^

11:57:49 PMtool_calltools

tool=Bash

Bash

11:57:49 PMtool_resulttools

 public | pod_lifecycle            | table | sagan_app

11:57:51 PMtool_calltools

tool=Bash

Bash

11:57:51 PMtool_resulttools

Exit code 1
ERROR:  column "pod_id" does not exist
LINE 1: SELECT id, pod_id, status, created_at FROM pod_lifecycle WHE...
                   ^
HINT:  Perhaps you meant to reference the column "pod_lifecycle.run_id".

11:57:53 PMtool_calltools

tool=Bash

Bash

11:57:53 PMtool_resulttools

                                  Table "public.pod_lifecycle"
        Column        |           Type           | Collation | Nullable |        Default         
----------------------+--------------------------+-----------+----------+------------------------
 id                   | uuid                     |           | not null | gen_random_uuid()
 agent_run_id         | uuid                     |           |          | 
 experiment_id        | uuid                     |           |          | 
 run_id               | uuid                     |           |          | 
 runpod_pod_id        | text                     |           | not null | 
 account              | runpod_account           |           | not null | 'team'::runpod_account
 name                 | text                     |           |          | 
 gpu_type_id          | text                     |           |          | 
 gpu_count            | integer                  |           |          | 
 status               | text                     |           | not null | 'deploying'::text
 desired_status       | text                     |           |          | 
 ssh_host             | text                     |           |          | 
 ssh_port             | integer                  |           |          | 
 retry_count          | integer                  |           | not null | 0
 max_retries          | integer                  |           | not null | 3
 blocked_reason       | text                     |           |          | 
 last_error           | text                     |           |          | 
 last_checked_at      | timestamp with time zone |           |          | 
 last_heartbeat_at    | timestamp with time zone |           |          | 
 stopped_at           | timestamp with time zone |           |          | 
 terminated_at        | timestamp with time zone |           |          | 
 metadata             | jsonb                    |           |          | 
 created_at           | timestamp with time zone |           | not null | now()
 updated_at           | timestamp with time zone |           | not null | now()
 cost_per_hr          | double precision         |           |          | 
 adjusted_cost_per_hr | double precision         |           |          | 
 uptime_seconds       | integer                  |           |          | 
 last_started_at      | timestamp with time zone |           |          | 
Indexes:
    "pod_lifecycle_pkey" PRIMARY KEY, btree (id)
    "pod_lifecycle_agent_run_idx" btree (agent_run_id)
    "pod_lifecycle_experiment_idx" btree (experiment_id)
    "pod_lifecycle_pod_idx" btree (runpod_pod_id)
    "pod_lifecycle_run_idx" btree (run_id)
    "pod_lifecycle_runpod_pod_id_unique" UNIQUE CONSTRAINT, btree (runpod_pod_id)
    "pod_lifecycle_status_idx" btree (status)
Foreign-key constraints:
    "pod_lifecycle_agent_run_id_agent_runs_id_fk" FOREIGN KEY (agent_run_id) REFERENCES agent_runs(id) ON DELETE SET NULL
    "pod_lifecycle_experiment_id_experiments_id_fk" FOREIGN KEY (experiment_id) REFERENCES experiments(id) ON DELETE SET NULL
    "pod_lifecycle_run_id_runs_id_fk" FOREIGN KEY (run_id) REFERENCES runs(id) ON DELETE SET NULL
Referenced by:
    TABLE "run_artifacts" CONSTRAINT "run_artifacts_pod_lifecycle_id_pod_lifecycle_id_fk" FOREIGN KEY (pod_lifecycle_id) REFERENCES pod_lifecycle(id) ON DELETE SET NULL

11:57:59 PMtool_calltools

tool=Bash

Bash

11:58:00 PMtool_resulttools

 id | runpod_pod_id | status | created_at 
----+---------------+--------+------------
(0 rows)

11:58:26 PMtool_calltools

tool=Bash

Bash

11:58:26 PMtool_resulttools

Validation OK, size: 2688 bytes

11:58:30 PMtool_calltools

tool=Bash

Bash

11:58:33 PMtool_resulttools

> @sagan/runner@0.0.0 pod-tool /home/thomasjiralerspong/sagan/services/runner
> tsx scripts/pod-tool.ts "attempt" "--agent-run-id" "63c22514-1043-4787-8cfe-206b17267cf4" "--run-index" "0" "--spec-json" "{\"name\": \"exp192-persona-spread\", \"gpuType\": \"H100\", \"gpuCount\": 1, \"cloudType\": \"SECURE\", \"volumeGb\": 100, \"containerDiskGb\": 100, \"dockerArgs\": \"bash -lc 'cd /workspace/explore-persona-space && uv run python scripts/run_experiment_192.py 2>&1 | tee /workspace/run.log'\", \"config\": {\"command\": \"Build fact-paraphrase + cipher datasets and the Tulu-3 mixed-prompt background (excluding zelthari_scholar, software_engineer, kindergarten_teacher from background, Jaccard-1gram-deduped vs fact/cipher). LoRA-SFT Qwen2.5-7B-Instruct (r=32, alpha=64, rsLoRA, all attn+MLP, lr=2e-4, 1 epoch, train_on_responses_only, packing=false, bf16) under the zelthari_scholar persona for each of {fact, cipher} x seeds {42, 137, 256}. For any (seed, arm) with teaching-frame accuracy in [50,80) at 1 epoch, retrain that cell at 2 epochs. Eval all 6 adapters and the base model on 5 system-prompt frames (zelthari_scholar, assistant, software_engineer, kindergarten_teacher, no system prompt) with greedy temp-0; fact arm scored free-form + MCQ; cipher scored exact-match + per-letter, with token-novel subset reported separately; refusal rate reported per cell. Compute probe-level paired bootstrap (1000 resamples) within (seed, frame, arm), seed-averaged Delta, 95% percentile CIs; apply hierarchical gatekeeping (2 assistant-frame primaries at alpha_cell=0.025, 6 secondaries at alpha_cell=0.05/6 conditional). Push adapters to HF Hub (sagan-exp192-{fact,cipher}-seed{42,137,256}), eval JSONs and dataset JSONL to WandB, and write docs/clean-result-exp-192/{results.csv,primary-plot.svg} into the Sagan repo. POST progress to $SAGAN_PROGRESS_URL after each phase (dataset, training-per-cell, eval-per-cell, analysis, upload).\", \"artifacts\": [\"hf://sagan-exp192-fact-seed42\", \"hf://sagan-exp192-fact-seed137\", \"hf://sagan-exp192-fact-seed256\", \"hf://sagan-exp192-cipher-seed42\", \"hf://sagan-exp192-cipher-seed137\", \"hf://sagan-exp192-cipher-seed256\", \"wandb://sagan/exp192/eval-{arm}-{seed}-{frame}.json\", \"wandb://sagan/exp192/datasets.jsonl\", \"wandb://sagan/exp192/run-metadata.json\", \"repo://docs/clean-result-exp-192/results.csv\", \"repo://docs/clean-result-exp-192/primary-plot.svg\"]}, \"env\": {\"SAGAN_EPS_BRANCH\": \"exp-192-persona-spread\", \"SAGAN_EPS_COMMIT_SHA\": \"22739aabc8694671e631c74f628095c3b6dd09a7\"}, \"substitution_policy\": {\"account\": {\"prefer\": \"team\", \"allowed\": [\"team\"]}, \"gpuType\": {\"allowed\": [\"H100\", \"H200\", \"A100\"], \"min_vram_gb\": 80}, \"gpuCount\": {\"max\": 1, \"min\": 1}, \"volumeGb\": {\"min\": 100}, \"cloudType\": {\"prefer\": \"SECURE\", \"allowed\": [\"SECURE\", \"COMMUNITY\"]}, \"dataCenterId\": {\"allowed\": \"any\"}, \"containerDiskGb\": {\"min\": 100}}, \"consolidation\": {\"may_merge_pods\": false}}" "--account" "team"

{"ok":true,"pod":{"podId":"be565kq7x4sybb","name":"exp192-persona-spread","gpuTypeId":"NVIDIA H100 80GB HBM3","gpuCount":1,"desiredStatus":"RUNNING","sshHost":null,"sshPort":null,"costPerHr":2.99,"adjustedCostPerHr":2.99},"podLifecycleId":"f775823f-0b60-41fa-8f9a-86acf79ac647","sagaRunId":"d635de11-a02b-4df7-b3f7-d1168e6863e5","account":"team"}

11:58:38 PMtool_calltools

tool=Bash

Bash

11:58:39 PMtool_resulttools

> @sagan/runner@0.0.0 pod-tool /home/thomasjiralerspong/sagan/services/runner
> tsx scripts/pod-tool.ts "commit" "--agent-run-id" "63c22514-1043-4787-8cfe-206b17267cf4"

{"ok":true,"podIds":["be565kq7x4sybb"],"count":1}

11:58:41 PMtool_resulttools

Committed successfully. 

committed 1 pod(s): be565kq7x4sybb
agentId: aa81a854a4e7ee9de (use SendMessage with to: 'aa81a854a4e7ee9de' to continue this agent)
<usage>total_tokens: 30137
tool_uses: 12
duration_ms: 70611</usage>

11:58:44 PMassistant_textagent

Pod committed. Pod ID: `be565kq7x4sybb`. Let me record the marker and monitor.

11:58:47 PMtool_calltools

tool=Bash

Bash

11:58:48 PMtool_resulttools

{"error":"unknown_marker_type","message":"Marker \"epm:pod-dispatched\" is not in KNOWN_MARKER_TYPES. Add it to apps/web/src/lib/reviewer-loops.ts and .claude/workflow.yaml before posting."}

11:58:52 PMtool_calltools

tool=Bash

Bash

11:58:52 PMtool_resulttools

17:  'epm:code-review',
18:  'epm:code-review-codex',
19:  'epm:review-reconcile',
20:  'epm:interp-critique',
21:  'epm:interp-critique-codex',
22:  'epm:clean-result-critique',
23:  'epm:clean-result-critique-codex',
33:  'epm:clarify',
34:  'epm:clarify-answers',
35:  'epm:plan',
36:  'epm:consistency',
37:  'epm:experiment-implementation',
38:  'epm:code-review',
39:  'epm:code-review-codex',
40:  'epm:code-review-reconcile',
41:  'epm:review-reconcile',
42:  'epm:reviewer-verdict',
43:  'epm:reviewer-verdict-codex',
44:  'epm:textbox-answers',
45:  'epm:reviewer-pass',
46:  'epm:reviewer-decision',
47:  'epm:reviewer-ensemble-final',
48:  'epm:test-verdict',
49:  'epm:preflight',
50:  'epm:launch',
51:  'epm:progress',
52:  'epm:results',
53:  'epm:upload-verification',
54:  'epm:interpretation',
55:  'epm:interp-critique',
56:  'epm:interp-critique-codex',
57:  'epm:interp-revision',
58:  'epm:clean-result',
59:  'epm:clean-result-critique',
60:  'epm:clean-result-critique-codex',
61:  'epm:clean-result-critique-reconcile',
62:  'epm:clean-result-lint',
63:  'epm:follow-ups',
64:  'epm:awaiting-promotion',
65:  'epm:promoted',

11:58:55 PMtool_calltools

tool=Bash

Bash

11:58:57 PMtool_resulttools

{
  "id": "94061f25-98e1-45d0-90d7-70c85f03ccbe",
  "ok": true
}

11:59:08 PMassistant_textagent

Pod committed. The runner's pod-status watcher will transition status when the pod reaches `STOPPED`/`COMPLETED`. Let me check the watcher logic to confirm what status flip I should pick up from, then schedule a check-in.

11:59:09 PMtool_calltools

tool=Bash

Bash

11:59:09 PMtool_resulttools

/home/thomasjiralerspong/sagan/services/runner/src/tools/runpod.ts:565:  desiredStatus: 'RUNNING' | 'STOPPED' | 'TERMINATED',

11:59:13 PMtool_calltools

tool=Grep

Grep

11:59:13 PMtool_resulttools

Found 4 files
services/runner/src/dispatcher.ts
services/runner/src/watcher.ts
services/runner/src/session.ts
services/runner/src/lib/cascade-failure.ts

11:59:16 PMtool_calltools

tool=Bash

Bash

11:59:16 PMtool_resulttools

12:const TERMINAL_AGENT_STATUSES = ['completed', 'failed', 'cancelled', 'rejected', 'blocked'];
67:      await updatePodFromInfo(row, pod, 'stopped');
68:      await emitEvent(agentRunId, 'runpod_stopped', row.runpodPodId, {
87:    .set({ status: 'cancelled', completedAt: new Date(), updatedAt: new Date() })
89:  await emitEvent(agentRunId, 'cancelled', 'active RunPod pods were stopped; volumes were preserved');
98:    await setExperimentWorkflowStatus(experimentId, 'blocked', 'RunPod pod stopped; volume preserved.');
146:      stoppedAt: status === 'stopped' ? now : row.stoppedAt,
262:  if (desired.includes('stop') || desired.includes('exit')) return 'stopped';

11:59:20 PMtool_calltools

tool=Read

Read

11:59:20 PMtool_resulttools

60	      .update(schema.podLifecycle)
61	      .set({ status: 'stop_requested', updatedAt: new Date() })
62	      .where(eq(schema.podLifecycle.id, row.id));
63	    await emitEvent(agentRunId, 'runpod_stop_requested', row.runpodPodId);
64	
65	    try {
66	      const pod = await stopPod(row.runpodPodId, row.account as RunpodAccount);
67	      await updatePodFromInfo(row, pod, 'stopped');
68	      await emitEvent(agentRunId, 'runpod_stopped', row.runpodPodId, {
69	        desiredStatus: pod.desiredStatus,
70	      });
71	    } catch (err) {
72	      const message = err instanceof Error ? err.message : String(err);
73	      await db()
74	        .update(schema.podLifecycle)
75	        .set({
76	          status: 'retrying',
77	          lastError: message.slice(0, 4000),
78	          updatedAt: new Date(),
79	        })
80	        .where(eq(schema.podLifecycle.id, row.id));
81	      await emitEvent(agentRunId, 'runpod_stop_failed', message.slice(0, 1000));
82	    }
83	  }
84	
85	  await db()
86	    .update(schema.agentRuns)
87	    .set({ status: 'cancelled', completedAt: new Date(), updatedAt: new Date() })
88	    .where(eq(schema.agentRuns.id, agentRunId));
89	  await emitEvent(agentRunId, 'cancelled', 'active RunPod pods were stopped; volumes were preserved');
90	
91	  // The agent run is cancelled, but the experiment is not — pod stops are owner
92	  // pauses (or pod-orphan cleanup), not a verdict on the experiment. Mark it
93	  // `blocked` so it surfaces in the Blocked column for owner attention instead
94	  // of silently disappearing into Archived/Cancelled. `setExperimentWorkflowStatus`
95	  // is a no-op when the experiment is already in a terminal status.
96	  const experimentIds = new Set(rows.map((row) => row.experimentId).filter((id): id is string => Boolean(id)));
97	  for (const experimentId of experimentIds) {
98	    await setExperimentWorkflowStatus(experimentId, 'blocked', 'RunPod pod stopped; volume preserved.');
99	  }
100	}
101	
102	async function refreshPod(row: PodLifecycleRow) {
103	  const pod = await getPod(row.runpodPodId, row.account as RunpodAccount);
104	  const status = mapPodStatus(pod);
105	  await updatePodFromInfo(row, pod, status);
106	
107	  if (row.agentRunId) {
108	    await emitEvent(row.agentRunId, 'runpod_status', pod.desiredStatus || status, {
109	      podId: row.runpodPodId,
110	      status,
111	      sshHost: pod.sshHost,
112	      sshPort: pod.sshPort,
113	      costPerHr: pod.costPerHr,
114	      adjustedCostPerHr: pod.adjustedCostPerHr,
115	      uptimeSeconds: pod.uptimeSeconds,
116	    });
117	    if (status === 'running') {
118	      await markAgentRunRunning(row.agentRunId);
119	    }
120	  }
121	
122	  if (row.experimentId && status === 'running') {
123	    await setExperimentWorkflowStatus(row.experimentId, 'running', 'RunPod pod is running.');
124	  }
125	  await notifyPipelineChanged(row.agentRunId ?? row.experimentId ?? row.runpodPodId);
126	}
127	
128	async function updatePodFromInfo(row: PodLifecycleRow, pod: PodInfo, status: string) {
129	  const now = new Date();
130	  await db()
131	    .update(schema.podLifecycle)
132	    .set({
133	      name: pod.name || row.name,
134	      gpuTypeId: pod.gpuTypeId ?? row.gpuTypeId,
135	      gpuCount: pod.gpuCount ?? row.gpuCount,
136	      costPerHr: pod.costPerHr ?? row.costPerHr,
137	      adjustedCostPerHr: pod.adjustedCostPerHr ?? row.adjustedCostPerHr,
138	      uptimeSeconds: pod.uptimeSeconds ?? row.uptimeSeconds,
139	      lastStartedAt: parseRunpodDate(pod.lastStartedAt) ?? row.lastStartedAt,
140	      status,
141	      desiredStatus: pod.desiredStatus,
142	      sshHost: pod.sshHost,
143	      sshPort: pod.sshPort,
144	      lastCheckedAt: now,
145	      lastHeartbeatAt: status === 'running' ? now : row.lastHeartbeatAt,
146	      stoppedAt: status === 'stopped' ? now : row.stoppedAt,
147	      terminatedAt: status === 'terminated' ? now : row.terminatedAt,
148	      lastError: null,
149	      updatedAt: now,
150	    …

11:59:24 PMtool_calltools

tool=Grep

Grep

11:59:24 PMtool_resulttools

services/runner/src/dispatcher.ts:158:  // → code_reviewing → testing → running → uploading → verifying →
services/runner/src/session.ts:558: * through implementing → code_reviewing → testing → running → uploading →
services/runner/src/lib/cascade-failure.ts:31:  'uploading',

11:59:27 PMtool_calltools

tool=Grep

Grep

11:59:27 PMtool_resulttools

Found 20 files limit: 20
apps/web/src/lib/dashboard.ts
packages/db/drizzle/meta/0035_snapshot.json
packages/db/src/schema/index.ts
packages/db/drizzle/meta/0034_snapshot.json
packages/db/drizzle/meta/0033_snapshot.json
apps/web/src/lib/status.ts
packages/db/drizzle/meta/0032_snapshot.json
scripts/sagan_state.py
services/runner/src/lib/cascade-failure.ts
apps/web/src/lib/process-state.ts
apps/web/src/lib/health.ts
apps/web/src/lib/workflow.ts
packages/db/drizzle/meta/0031_snapshot.json
packages/api/src/schemas/index.ts
packages/db/drizzle/meta/0030_snapshot.json
apps/web/app/(app)/experiments/page.tsx
packages/db/drizzle/meta/0029_snapshot.json
packages/db/drizzle/meta/0028_snapshot.json
packages/db/drizzle/meta/0026_snapshot.json
packages/db/drizzle/meta/0025_snapshot.json

11:59:30 PMtool_calltools

tool=Bash

Bash

11:59:30 PMtool_resulttools

19:  'running',
20:  'uploading',
21:  'verifying',
60:    case 'running':
61:    case 'uploading':
62:    case 'verifying':

11:59:33 PMtool_calltools

tool=Read

Read

11:59:33 PMtool_resulttools

1	import { and, eq } from 'drizzle-orm';
2	import { approvalRequests, experiments, workflowEvents } from '@sagan/db/schema';
3	import { db } from './db';
4	import type { EntityKind } from './entity';
5	
6	export const EXPERIMENT_STATUSES = [
7	  'proposed',
8	  'clarifying',
9	  'awaiting_clarifications',
10	  'gate_pending',
11	  'planning',
12	  'plan_pending',
13	  'approved',
14	  'awaiting_approval',
15	  'queued',
16	  'implementing',
17	  'code_reviewing',
18	  'testing',
19	  'running',
20	  'uploading',
21	  'verifying',
22	  'interpreting',
23	  'reviewing',
24	  'clean_result_drafting',
25	  'awaiting_promotion',
26	  'followups_running',
27	  'shared',
28	  'blocked',
29	  'completed',
30	  'done_experiment',
31	  'done_impl',
32	  'failed',
33	  'cancelled',
34	  'archived',
35	] as const;
36	
37	export type ExperimentStatus = (typeof EXPERIMENT_STATUSES)[number];
38	type WorkflowEventInsert = typeof workflowEvents.$inferInsert;
39	
40	export function experimentTurn(status: string) {
41	  switch (status) {
42	    case 'proposed':
43	      return 'Sagan turn: clarify scope';
44	    case 'clarifying':
45	      return 'Sagan turn: clarify hypothesis and information gain';
46	    case 'awaiting_clarifications':
47	      return 'Owner turn: answer Sagan questions';
48	    case 'gate_pending':
49	      return 'Owner turn: resolve gate';
50	    case 'planning':
51	      return 'Sagan turn: draft plan';
52	    case 'plan_pending':
53	    case 'awaiting_approval':
54	      return 'Owner turn: approve, defer, or reject';
55	    case 'approved':
56	    case 'queued':
57	    case 'implementing':
58	    case 'code_reviewing':
59	    case 'testing':
60	    case 'running':
61	    case 'uploading':
62	    case 'verifying':
63	    case 'interpreting':
64	    case 'followups_running':
65	    case 'clean_result_drafting':
66	      return 'Sagan turn: run and verify';
67	    case 'reviewing':
68	      return 'Owner turn: review interpretation and propose follow-ups';
69	    case 'awaiting_promotion':
70	      return 'Owner turn: promote clean result';
71	    case 'blocked':
72	      return 'Owner turn: unblock or revise';
73	    default:
74	      return 'No active owner action';
75	  }
76	}
77	
78	export async function appendWorkflowEvent(input: {
79	  entityKind: EntityKind;
80	  entityId: string;
81	  eventType: WorkflowEventInsert['eventType'];
82	  fromStatus?: string | null;
83	  toStatus?: string | null;
84	  actorKind?: string;
85	  actorUserId?: string;
86	  note?: string;
87	  metadata?: Record<string, unknown>;
88	}) {
89	  const inserted = await db()
90	    .insert(workflowEvents)
91	    .values({
92	      entityKind: input.entityKind,
93	      entityId: input.entityId,
94	      eventType: input.eventType,
95	      fromStatus: input.fromStatus,
96	      toStatus: input.toStatus,
97	      actorKind: input.actorKind ?? 'system',
98	      actorUserId: input.actorUserId,
99	      note: input.note,
100	      metadata: input.metadata,
101	    })
102	    .returning({ id: workflowEvents.id });
103	  return inserted[0]!;
104	}
105	
106	export async function ensureExperimentPlanApprovalRequest(input: {
107	  experimentId: string;
108	  title: string;
109	  bodyMd?: string | null;
110	  requestedBy?: string;
111	}) {
112	  const existing = await db()
113	    .select({ id: approvalRequests.id })
114	    .from(approvalRequests)
115	    .where(
116	      and(
117	        eq(approvalRequests.experimentId, input.experimentId),
118	        eq(approvalRequests.kind, 'experiment_plan'),
119	        eq(approvalRequests.status, 'pending'),
120	      ),

11:59:41 PMassistant_textagent

Pod is dispatched. Estimated 4-hour wall time. The runner watcher transitions to `blocked` on pod-stop, so I need to actively monitor the pod and advance to `uploading` myself when it completes. Let me verify the pod is healthy and then schedule periodic check-ins.

11:59:42 PMtool_calltools

tool=Bash

Bash

11:59:47 PMtool_resulttools

(Bash completed with no output)

11:59:52 PMtool_calltools

tool=Bash

Bash

11:59:55 PMtool_resulttools

> @sagan/runner@0.0.0 pod-tool /home/thomasjiralerspong/sagan/services/runner
> tsx scripts/pod-tool.ts

usage: pod-tool <attempt|commit|escalate|record-substitution|stop> [flags]
       see scripts/pod-tool.ts header for full flag list
/home/thomasjiralerspong/sagan/services/runner:
 ERR_PNPM_RECURSIVE_RUN_FIRST_FAIL  @sagan/runner@0.0.0 pod-tool: `tsx scripts/pod-tool.ts`
Exit status 2

12:00:00 AMtool_calltools

tool=Bash

Bash

12:00:01 AMtool_resulttools

Status: running
runpodPodId: None
Last 10 events:
  2026-05-13T23:59:13.475Z | state_changed | running | RunPod pod is running.
  2026-05-13T23:58:57.637Z | note |  | Pod-provisioner committed 1 pod (be565kq7x4sybb) on first attempt; substitution_policy not exercised
  2026-05-13T23:58:33.648Z | state_changed | queued | RunPod pod dispatched; waiting for runtime.
  2026-05-13T23:57:08.356Z | state_changed | running | Resume after spurious pod-stop cascade: code-review pair already passed at round 2 on commit 22739aa
  2026-05-13T23:56:54.251Z | note |  | Reviewer-pair test step PASS: 39/39 tests in tests/test_exp192_helpers.py; ruff check + format clean
  2026-05-13T23:56:53.107Z | note |  | Prior orchestrator session: codex reviewer round-2 PASS confirmed; all 12 round-1 fixes correctly ap
  2026-05-13T23:56:52.071Z | note |  | Prior orchestrator session: round-2 reviewer pair passed (39/39 unit tests in tests/test_exp192_help
  2026-05-13T23:56:43.243Z | note |  | Restored pickup: branch exp-192-persona-spread @ 22739aab already implemented and code-review-passed
  2026-05-13T23:54:19.714Z | state_changed | approved | Re-used existing plan after moving to running.
  2026-05-13T23:54:19.505Z | state_changed | implementing | Orchestrator 318a550d queued to implement and dispatch.

12:00:15 AMassistant_textagent

Pod is running. The runner won't auto-transition to `uploading` — that's my responsibility. With ~4 hours of estimated wall time, I'll schedule periodic check-ins. First wakeup in 30 min to verify the pod is making forward progress through the dataset/training phases.

12:00:16 AMtool_calltools

tool=ScheduleWakeup

ScheduleWakeup

12:00:16 AMtool_resulttools

Next wakeup scheduled for 00:31:00 (in 1843s). Nothing more to do this turn — the harness re-invokes you when the wakeup fires or a task-notification arrives.

12:00:19 AMassistant_textagent

Pod `be565kq7x4sybb` dispatched and running. Workflow markers posted for restored-pickup. Awaiting first 30-min progress check.

12:00:19 AMsdk_resultagent

success

12:00:19 AMcompletedagent

Pod `be565kq7x4sybb` dispatched and running. Workflow markers posted for restored-pickup. Awaiting first 30-min progress check.

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