Run 0164ffaa
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
pod-provisioner dispatch for experiment #366 (manual retest after stderr/networkVolumeId fixes) — orchestrator run 7721a1e0-37d2-4087-9103-a84f76ed230e
Failure or crash reason
HTTP 503 from RunPod: {"message":"Service Unavailable"}Previous run transcript
- 2026-05-13T23:46:19.012Z pod_provisioner_attempt: gpu=H100x1 cloud=SECURE account=team - 2026-05-13T23:46:20.451Z deploy_pod_started: jc3a2x03oxa7b0 - 2026-05-13T23:46:24.914Z deploy_completed: pod-provisioner committed 1 pod(s) - 2026-05-13T23:47:13.475Z runpod_status: RUNNING - 2026-05-13T23:47:58.305Z runpod_progress: 5% · bootstrap complete on branch issue-366 - 2026-05-13T23:48:01.287Z runpod_progress: 6% · issue 366 bootstrap done, resolving markers - 2026-05-13T23:48:13.021Z runpod_status: RUNNING - 2026-05-13T23:48:16.006Z runpod_progress: 8% · markers resolved, building word pool - 2026-05-13T23:48:21.991Z runpod_progress: 10% · manifest written, beginning per-adapter loop (11 adapters) - 2026-05-13T23:49:13.642Z runpod_status: RUNNING - 2026-05-13T23:50:13.705Z runpod_status: RUNNING - 2026-05-13T23:51:13.659Z runpod_status: RUNNING - 2026-05-13T23:52:13.216Z runpod_status: RUNNING - 2026-05-13T23:52:22.420Z runpod_progress: 13% · trained T_2_seed42 - 2026-05-13T23:53:13.033Z runpod_status: RUNNING - 2026-05-13T23:54:09.698Z runpod_progress: 16% · evaled T_2_seed42 - 2026-05-13T23:54:13.712Z runpod_status: RUNNING - 2026-05-13T23:55:13.154Z runpod_status: RUNNING - 2026-05-13T23:56:13.666Z runpod_status: RUNNING - 2026-05-13T23:57:13.192Z runpod_status: RUNNING - 2026-05-13T23:58:04.492Z runpod_progress: 19% · trained C_2_seed42 - 2026-05-13T23:58:13.650Z runpod_status: RUNNING - 2026-05-13T23:59:13.107Z runpod_status: RUNNING - 2026-05-13T23:59:41.814Z runpod_progress: 22% · evaled C_2_seed42 - 2026-05-14T00:00:13.894Z runpod_status: RUNNING - 2026-05-14T00:01:15.368Z runpod_status: RUNNING - 2026-05-14T00:02:15.531Z runpod_status: RUNNING - 2026-05-14T00:03:15.353Z runpod_status: RUNNING - 2026-05-14T00:03:37.949Z runpod_progress: 25% · trained T_3_seed42 - 2026-05-14T00:04:15.643Z runpod_status: RUNNING - 2026-05-14T00:05:14.675Z runpod_progress: 28% · evaled T_3_seed42 - 2026-05-14T00:05:15.157Z runpod_status: RUNNING - 2026-05-14T00:06:16.608Z runpod_status: RUNNING - 2026-05-14T00:07:15.647Z runpod_status: RUNNING - 2026-05-14T00:08:16.113Z runpod_status: RUNNING - 2026-05-14T00:09:11.571Z runpod_progress: 31% · trained C_3_seed42 - 2026-05-14T00:09:16.322Z runpod_status: RUNNING - 2026-05-14T00:10:16.744Z runpod_status: RUNNING - 2026-05-14T00:10:49.263Z runpod_progress: 34% · evaled C_3_seed42 - 2026-05-14T00:11:15.387Z runpod_status: RUNNING - 2026-05-14T00:12:14.967Z runpod_retry: Network error contacting RunPod: fetch failed - 2026-05-14T00:13:18.960Z runpod_status: RUNNING - 2026-05-14T00:14:17.892Z runpod_status: RUNNING - 2026-05-14T00:14:46.327Z runpod_progress: 37% · trained T_3_seed137 - 2026-05-14T00:15:14.557Z runpod_status: RUNNING - 2026-05-14T00:16:20.304Z runpod_retry: Network error contacting RunPod: fetch failed - 2026-05-14T00:16:24.273Z runpod_progress: 40% · evaled T_3_seed137 - 2026-05-14T00:17:14.935Z runpod_status: RUNNING - 2026-05-14T00:18:13.719Z runpod_status: RUNNING - 2026-05-14T00:19:13.632Z runpod_status: RUNNING - 2026-05-14T00:20:13.662Z runpod_status: RUNNING - 2026-05-14T00:20:22.648Z runpod_progress: 43% · trained C_3_seed137 - 2026-05-14T00:21:13.126Z runpod_status: RUNNING - 2026-05-14T00:22:00.275Z runpod_progress: 46% · evaled C_3_seed137 - 2026-05-14T00:22:13.092Z runpod_status: RUNNING - 2026-05-14T00:23:13.352Z runpod_status: RUNNING - 2026-05-14T00:24:14.288Z runpod_status: RUNNING - 2026-05-14T00:25:15.189Z runpod_status: RUNNING - 2026-05-14T00:25:54.892Z runpod_progress: 49% · trained T_3_ablate_seed42 - 2026-05-14T00:26:13.793Z runpod_status: RUNNING - 2026-05-14T00:27:13.238Z runpod_status: RUNNING - 2026-05-14T00:27:32.252Z runpod_progress: 52% · evaled T_3_ablate_seed42 - 2026-05-14T00:28:13.194Z runpod_status: RUNNING - 2026-05-14T00:29:13.795Z runpod_status: RUNNING - 2026-05-14T00:30:13.892Z runpod_status: RUNNING - 2026-05-14T00:31:13.393Z runpod_status: RUNNING - 2026-05-14T00:31:28.167Z runpod_progress: 55% · trained T_4_seed42 - 2026-05-14T00:32:13.506Z runpod_status: RUNNING - 2026-05-14T00:33:13.397Z runpod_status: RUNNING - 2026-05-14T00:33:25.420Z runpod_progress: 58% · evaled T_4_seed42 - 2026-05-14T00:34:13.403Z runpod_status: RUNNING - 2026-05-14T00:35:13.243Z runpod_status: RUNNING - 2026-05-14T00:36:13.649Z runpod_status: RUNNING - 2026-05-14T00:37:13.742Z runpod_status: RUNNING - 2026-05-14T00:37:21.172Z runpod_progress: 61% · trained C_4_seed42 - 2026-05-14T00:38:13.443Z runpod_status: RUNNING - 2026-05-14T00:39:13.175Z runpod_status: RUNNING - 2026-05-14T00:39:18.616Z runpod_progress: 64% · evaled C_4_seed42 - 2026-05-14T00:40:13.445Z runpod_status: RUNNING - 2026-05-14T00:41:13.216Z runpod_status: RUNNING - 2026-05-14T00:42:13.992Z runpod_status: RUNNING - 2026-05-14T00:43:13.770Z runpod_status: RUNNING - 2026-05-14T00:43:16.097Z runpod_progress: 67% · trained T_5_seed42 - 2026-05-14T00:44:13.174Z runpod_status: RUNNING - 2026-05-14T00:45:13.267Z runpod_status: RUNNING - 2026-05-14T00:45:33.372Z runpod_progress: 70% · evaled T_5_seed42 - 2026-05-14T00:46:13.473Z runpod_status: RUNNING - 2026-05-14T00:47:13.252Z runpod_status: RUNNING - 2026-05-14T00:48:13.322Z runpod_status: RUNNING - 2026-05-14T00:49:14.183Z runpod_status: RUNNING - 2026-05-14T00:49:28.894Z runpod_progress: 73% · trained C_5_seed42 - 2026-05-14T00:50:13.810Z runpod_status: RUNNING - 2026-05-14T00:51:13.218Z runpod_status: RUNNING - 2026-05-14T00:51:46.574Z runpod_progress: 76% · evaled C_5_seed42 - 2026-05-14T00:51:47.360Z runpod_progress: 82% · donor fidelity csv written - 2026-05-14T00:52:11.446Z runpod_progress: 90% · stats artifacts written, rendering figures - 2026-05-14T00:52:12.699Z runpod_progress: 98% · figures rendered, finalizing run manifest - 2026-05-14T00:52:13.461Z runpod_status: RUNNING - 2026-05-14T00:52:18.384Z runpod_progress: 100% · experiment completed - 2026-05-14T00:52:30.903Z runpod_progress: 5% · bootstrap complete on branch issue-366
Resume history
This run resumes f970a62f.
Plan
Clarifying questions
This is now the **3rd auto-recovery run** on exp #366 (prior recovery `b047cabb-…`, original `0a864550-…`, plus the just-failed `9e039246-…`). The plan body on `experiments.body` remains final — `compute:small`, 8 adapters on 1×H100, ~3 GPU-hours. Re-running the planner cannot move the work forward; the blockers are structural (runner/infra) plus one human gate. I am producing only clarifying questions so the dashboard flips this experiment to `awaiting_clarifications` and breaks the cascade. **New evidence from this round.** Pod `lqpfpmbytlgded` reached `RUNNING` at 10:44:53 and survived **ten** consecutive 60-second status polls (10:44:53 → 10:53:56 = ~9 min in `RUNNING`) before disappearing at 10:54:54 — a substantially longer window than `w2vn4kqqjotfgj`'s ~3.5 min in the prior round. Nine minutes is **more than enough** for `uv sync --locked` against the `issue-366` branch to finish on a fresh volume and for `run_366.py` to begin training (or to exit with an unlogged error). The "not found in account=team" message from `services/runner/src/tools/runpod.ts` is consistent with the pod having been garbage-collected by RunPod, not with an account-key mismatch — but without log capture we still cannot tell whether the user command crashed early or whether RunPod's allocator reclaimed the pod for unrelated reasons. The cumulative tally is now **seven** vanished pods on this experiment (`yur1wxa4ztn2ky`, `o9hlewv1vn3vfe`, `hx5qglq11gau0i`, `jc3a2x03oxa7b0`, `w8zh8zs644se30`, `w2vn4kqqjotfgj`, `lqpfpmbytlgded`). The six structural items from the prior round are still load-bearing. The longer `RUNNING` window in this attempt sharpens #2 (the `sleep infinity` wrapper would now almost certainly have kept the pod alive past the 9-min point, so it is the cheapest unblock) and adds urgency to #6 (log capture is the only way to tell whether the user command exited cleanly or with an error during those 9 minutes). 1. **Halt the auto-recovery cascade on exp #366.** Mark this run (`<current run id>`), the prior recovery runs (`b047cabb-ad20-4626-…`, `9e039246-73d2-4abc-…`), and the original `0a864550-…` as `failed`. Do you want me to (a) treat the dashboard flip to `awaiting_clarifications` as sufficient on its own — trusting that the runner's status reducer stops re-firing recoveries once the experiment is no longer in a crashed-running state — or (b) also open a `kind=apply` to suppress auto-recovery on experiments whose latest planner run produced `isClarificationOutput=true`, so future intentional blockers cannot loop? [TEXTBOX:halt-strategy] 2. **Pick the runner-side fix to land before dispatch #8.** Same two options as the prior round, with new evidence that #2a alone would likely have rescued the most recent attempt: - **(2a) `sleep infinity` wrapper in `services/runner/src/lib/pod-bootstrap.ts`.** One-line change; appends `; sleep infinity` (or equivalent) after the user command so the pod survives normal-exit garbage collection. Unblocks #366 immediately. Doesn't fix the underlying "no log capture" problem. - **(2b) `progressPct=100` reducer hook in `services/runner/src/`.** Architecturally correct: distinguishes "pod exited because experiment finished" from "pod vanished while still working." Wider blast radius; needs a regression test pass. Which do you want pursued, and in what order? (2a now, 2b as a follow-up apply is the lowest-risk path.) [TEXTBOX:runner-fix-choice] 3. **Decide whether `runpodAccount: team` is intended for #366.** Unchanged from prior round. The runner's auth fallback at `services/runner/src/tools/runpod.ts:96-120` silently routes `team` through the personal key when `RUNPOD_API_KEY_TEAM` is absent (the case on this VM). Consistent across `dispatchPod` and `getPod`, so it should not be the cause of vanish events — but it does mean these pods are billing on personal. Do you want the experiment switched to `runpodAccount: personal` to make accounting explicit, or do you want `RUNPOD_API_KEY_TEAM` provisioned on the runner VM? [TEXTBOX:account-resolution] 4. **Confirm the experiment code on `issue-366` is the intended target for redispatch.** Last known HEAD is `29a985e7` (2026-05-13 20:49 UTC, "exclude A∩B pre-existing shared subtokens from forbidden set in marker resolver"), with `scripts/experiments/366/run_366.py` plus train/eval/markers/figures. Is `issue-366` still the right pointer, or has the implementer staged a newer fix on a different branch since the last dispatch? [TEXTBOX:branch-confirmation] 5. **Decide whether to add `networkVolumeId` before the next dispatch.** Seven vanish events have destroyed any partial artifacts (donor adapters, eval seeds, cached HF weights). Attaching an existing RunPod network volume at `/workspace` would (a) survive future pod losses, (b) drop subsequent `uv sync --locked` to ~30s, and (c) skip the multi-GB Qwen-2.5-7B-Instruct download on every retry. Do you have a usable network volume id, and which DC is it pinned to? Without a real RunPod resource id I cannot guess one, and `dataCenterId` must match the volume's DC or the volume is invisible. [TEXTBOX:network-volume-id] 6. **Capture a single pod's stdout/stderr next dispatch (now strongly recommended).** With this round's 9-minute `RUNNING` window, the most informative diagnostic is what `run_366.py` actually printed during those nine minutes. Once the runner-side fix from #2 lands, the redispatched podSpec can tee the user command into `/workspace/explore-persona-space/run-stdout.log` and have the experiment script POST the head of that log to `SAGAN_PROGRESS_URL` at startup, so the next vanish leaves evidence. Alternatively, the runner-side fix could include `runpod podLogs <pod-id>` capture-on-vanish (heavier change). Which (or both)? [TEXTBOX:log-capture-optin] Once #1 and #2 are answered, the next planner run can fold the answers into a real redispatch plan — experimental sections, cost estimate, runpod-spec, Approval Checklist — without re-litigating the science (the plan body is final).
Clarifying questions
This is now the 3rd auto-recovery run on exp #366 (prior recovery b047cabb-…, original 0a864550-…, plus the just-failed 9e039246-…). The plan body on experiments.body remains final — compute:small, 8 adapters on 1×H100, ~3 GPU-hours. Re-running the planner cannot move the work forward; the blockers are structural (runner/infra) plus one human gate. I am producing only clarifying questions so the dashboard flips this experiment to awaiting_clarifications and breaks the cascade.
New evidence from this round. Pod lqpfpmbytlgded reached RUNNING at 10:44:53 and survived ten consecutive 60-second status polls (10:44:53 → 10:53:56 = ~9 min in RUNNING) before disappearing at 10:54:54 — a substantially longer window than w2vn4kqqjotfgj's ~3.5 min in the prior round. Nine minutes is more than enough for uv sync --locked against the issue-366 branch to finish on a fresh volume and for run_366.py to begin training (or to exit with an unlogged error). The "not found in account=team" message from services/runner/src/tools/runpod.ts is consistent with the pod having been garbage-collected by RunPod, not with an account-key mismatch — but without log capture we still cannot tell whether the user command crashed early or whether RunPod's allocator reclaimed the pod for unrelated reasons. The cumulative tally is now seven vanished pods on this experiment (yur1wxa4ztn2ky, o9hlewv1vn3vfe, hx5qglq11gau0i, jc3a2x03oxa7b0, w8zh8zs644se30, w2vn4kqqjotfgj, lqpfpmbytlgded).
The six structural items from the prior round are still load-bearing. The longer RUNNING window in this attempt sharpens #2 (the sleep infinity wrapper would now almost certainly have kept the pod alive past the 9-min point, so it is the cheapest unblock) and adds urgency to #6 (log capture is the only way to tell whether the user command exited cleanly or with an error during those 9 minutes).
-
Halt the auto-recovery cascade on exp #366. Mark this run (
<current run id>), the prior recovery runs (b047cabb-ad20-4626-…,9e039246-73d2-4abc-…), and the original0a864550-…asfailed. Do you want me to (a) treat the dashboard flip toawaiting_clarificationsas sufficient on its own — trusting that the runner's status reducer stops re-firing recoveries once the experiment is no longer in a crashed-running state — or (b) also open akind=applyto suppress auto-recovery on experiments whose latest planner run producedisClarificationOutput=true, so future intentional blockers cannot loop? [TEXTBOX:halt-strategy] -
Pick the runner-side fix to land before dispatch #8. Same two options as the prior round, with new evidence that #2a alone would likely have rescued the most recent attempt:
- (2a)
sleep infinitywrapper inservices/runner/src/lib/pod-bootstrap.ts. One-line change; appends; sleep infinity(or equivalent) after the user command so the pod survives normal-exit garbage collection. Unblocks #366 immediately. Doesn't fix the underlying "no log capture" problem. - (2b)
progressPct=100reducer hook inservices/runner/src/. Architecturally correct: distinguishes "pod exited because experiment finished" from "pod vanished while still working." Wider blast radius; needs a regression test pass. Which do you want pursued, and in what order? (2a now, 2b as a follow-up apply is the lowest-risk path.) [TEXTBOX:runner-fix-choice]
- (2a)
-
Decide whether
runpodAccount: teamis intended for #366. Unchanged from prior round. The runner's auth fallback atservices/runner/src/tools/runpod.ts:96-120silently routesteamthrough the personal key whenRUNPOD_API_KEY_TEAMis absent (the case on this VM). Consistent acrossdispatchPodandgetPod, so it should not be the cause of vanish events — but it does mean these pods are billing on personal. Do you want the experiment switched torunpodAccount: personalto make accounting explicit, or do you wantRUNPOD_API_KEY_TEAMprovisioned on the runner VM? [TEXTBOX:account-resolution] -
Confirm the experiment code on
issue-366is the intended target for redispatch. Last known HEAD is29a985e7(2026-05-13 20:49 UTC, "exclude A∩B pre-existing shared subtokens from forbidden set in marker resolver"), withscripts/experiments/366/run_366.pyplus train/eval/markers/figures. Isissue-366still the right pointer, or has the implementer staged a newer fix on a different branch since the last dispatch? [TEXTBOX:branch-confirmation] -
Decide whether to add
networkVolumeIdbefore the next dispatch. Seven vanish events have destroyed any partial artifacts (donor adapters, eval seeds, cached HF weights). Attaching an existing RunPod network volume at/workspacewould (a) survive future pod losses, (b) drop subsequentuv sync --lockedto ~30s, and (c) skip the multi-GB Qwen-2.5-7B-Instruct download on every retry. Do you have a usable network volume id, and which DC is it pinned to? Without a real RunPod resource id I cannot guess one, anddataCenterIdmust match the volume's DC or the volume is invisible. [TEXTBOX:network-volume-id] -
Capture a single pod's stdout/stderr next dispatch (now strongly recommended). With this round's 9-minute
RUNNINGwindow, the most informative diagnostic is whatrun_366.pyactually printed during those nine minutes. Once the runner-side fix from #2 lands, the redispatched podSpec can tee the user command into/workspace/explore-persona-space/run-stdout.logand have the experiment script POST the head of that log toSAGAN_PROGRESS_URLat startup, so the next vanish leaves evidence. Alternatively, the runner-side fix could includerunpod podLogs <pod-id>capture-on-vanish (heavier change). Which (or both)? [TEXTBOX:log-capture-optin]
Once #1 and #2 are answered, the next planner run can fold the answers into a real redispatch plan — experimental sections, cost estimate, runpod-spec, Approval Checklist — without re-litigating the science (the plan body is final).
Events
kind=experiment
I'll diagnose and retry. The 503 is a transient RunPod API error — RunPod's API can return Service Unavailable when capacity is tight or during their own internal hiccups. The prior run completed fully (100% at 00:52:18), and a new bootstrap then started but the dispatch attempt subsequently hit a 503. Let me check current state before retrying.
tool=Bash
Bash
node:internal/modules/run_main:123
triggerUncaughtException(
^
Error [ERR_MODULE_NOT_FOUND]: Cannot find module '/home/thomasjiralerspong/sagan/services/runner/scripts/sagan_state.ts' imported from /home/thomasjiralerspong/sagan/
at finalizeResolution (node:internal/modules/esm/resolve:283:11)
at moduleResolve (node:internal/modules/esm/resolve:952:10)
at defaultResolve (node:internal/modules/esm/resolve:1188:11)
at nextResolve (node:internal/modules/esm/hooks:864:28)
at resolveBase (file:///home/thomasjiralerspong/sagan/node_modules/tsx/dist/esm/index.mjs?1778729079772:2:3744)
at resolveDirectory (file:///home/thomasjiralerspong/sagan/node_modules/tsx/dist/esm/index.mjs?1778729079772:2:4243)
at resolveTsPaths (file:///home/thomasjiralerspong/sagan/node_modules/tsx/dist/esm/index.mjs?1778729079772:2:4984)
at resolve (file:///home/thomasjiralerspong/sagan/node_modules/tsx/dist/esm/index.mjs?1778729079772:2:5361)
at nextResolve (node:internal/modules/esm/hooks:864:28)
at Hooks.resolve (node:internal/modules/esm/hooks:306:30) {
code: 'ERR_MODULE_NOT_FOUND',
url: 'file:///home/thomasjiralerspong/sagan/services/runner/scripts/sagan_state.ts'
}
Node.js v20.20.2tool=Bash
Bash
(Bash completed with no output)
tool=Bash
Bash
ls: cannot access 'services/runner/src/scripts/': No such file or directory --- apply-narrative-edit.mjs apply-narrative-edit.py apply-narrative-edit.ts em-mechanism-body-v2.html em-mechanism-body.html import-github-project.ts narrative-revised-body.html narrative-revised-d80b786e.html pod-tool.ts run-lit-review.ts run-narrative-edit.sh runpod-cli.ts smoke-apply.ts smoke.ts snapshot-mentor.ts
tool=Grep
Grep
Found 1 file services/runner/src/session.ts
tool=Bash
Bash
<persisted-output>
Output too large (222KB). Full output saved to: /home/thomasjiralerspong/.claude/projects/-home-thomasjiralerspong-sagan/745f60d3-076c-4c1c-99e1-a24885555d4e/tool-results/bh7ly5co3.txt
Preview (first 2KB):
{"experiment":{"id":"b2766257-ac70-4f37-b904-697c7dd474ce","number":366,"legacyGhNumber":366,"beliefId":null,"projectId":null,"title":"Follow-up to #354: cascading chunk-binding — does A→B, B→C, C→D propagate the full chain on a recipient trained only to emit A?","body":"**Parent: #354** — extends the EOS-mask + chunk-binding finding (recipient SWE T-vs-C = +23.5pp on conditional marker_B-given-marker_A; cross-persona transfer manifests as a turn-end suffix association under EOS-mask). Grandparent: #281.\n\n## Context\n\n#354 established that when the donor learns a 2-marker chunk (`<A> answer <B>`), the recipient persona (trained only on `<A> answer` with EOS-masked loss) emits marker_B at end-of-completion conditional on marker_A appearing earlier. The cross-persona transfer is real (C-arm at 0% rules out length-inflation alternatives) but expressed as a learned turn-suffix association, not local A-keys-B.\n\nThe natural next question: is the mechanism **compositionally chainable**? If the donor learns N pairwise bindings — A→B, B→C, C→D, D→E — and the recipient is trained only to emit A (with EOS-masked loss as in #354), does triggering A at the recipient cascade through the entire chain, producing the full A B C D E sequence?\n\nA positive result would mean chunk-binding composes: each pairwise binding the donor learns is a transferable associative link that the recipient inherits, and an A-trigger at the recipient activates the entire downstream chain. A negative result (cascade decays with depth, e.g. drops sharply between 2 and 3 hops) would mean the mechanism is only first-order: A produces B but the B → C transition the donor learned does not carry over.\n\n## Hypothesis\n\n**If** chunk-binding is a compositional associative mechanism (a graph of pairwise bindings the recipient inherits from the donor under EOS-masked training), **then** training the donor on N-1 pairwise bindings (A→B, B→C, …) and the recipient on only `<A> answer` (EOS-masked) should prod
...
</persisted-output>tool=Bash
Bash
"status":"running" "status":"approved" --- "agentRunId":"4a4ad49e-d969-4186-923f-e08e799d7497"
tool=Bash
Bash
"podId":"jc3a2x03oxa7b0"
"podId":"jc3a2x03oxa7b0"
"podId":"jc3a2x03oxa7b0"
"podId":"jc3a2x03oxa7b0"
"podId":"jc3a2x03oxa7b0"
"podId":"jc3a2x03oxa7b0"
"podId":"jc3a2x03oxa7b0"
"podId":"jc3a2x03oxa7b0"
"podId":"jc3a2x03oxa7b0"
"podId":"jc3a2x03oxa7b0"
"podId":"jc3a2x03oxa7b0"
"podId":"jc3a2x03oxa7b0"
"podId":"jc3a2x03oxa7b0"
"podId":"jc3a2x03oxa7b0"
"podId":"jc3a2x03oxa7b0"
"podId":"jc3a2x03oxa7b0"
"podId":"jc3a2x03oxa7b0"
"podId":"jc3a2x03oxa7b0"
"podId":"jc3a2x03oxa7b0"
"podId":"jc3a2x03oxa7b0"
--- runs:
<!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/07w4.lt4fsvol.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"/><link rel="shortcut icon" href="/favicon.png"/><link rel="icon" href="/icon.svg" type="image/svg+xml"/><link rel="icon" href="/favicon.png" sizes="32x32" type="image/png"/><link rel="apple-touch-icon" href="/favicon.png" sizes="32x32"/><script>
(() => {
try {
const choice = window.localStorage.getItem('sagan-theme');
if (choice === 'light' || choice === 'dark') {
document.documentElement.dataset.theme = choice;
} else {
document.documentElement.removeAttribute('data-theme');
}
const font = window.localStorage.getItem('sagan-font');
if (font) {
document.documentElement.dataset.font = font;
}
} catch {}
})();
</script><script src="/_next/static/chunks/03~yq9q893hmn.js" noModule=""></script></head><body class="min-h-screen antialiased"><div hidden=""><!--$--><!--/$--></div><div style="font-family:system-ui,"Segoe UI",Roboto,Helvetica,Arial,sans-serif,"Apple Color Emoji","Segoe UI Emoji";height:100vh;text-align:center;display:flex;flex-direction:column;align-items:center;justify-content:center"><div><style>body{color:#000;background:#fff;margin:0}.next-error-h1{border-right:1px solid rgba(0,0,0,.3)}@media (prefers-color-scheme:dark){body{color:#fff;background:#000}.next-error-h1{border-right:1px solid rgba(255,255,255,.3)}}</style><h1 class="next-error-h1" style="display:inline-block;margin:0 20px 0 0;padding:0 23px 0 0;font-size:24px;font-weight:500;vertical-align:top;line-height:49px">404</h1><div style="display:inline-block">…Let me check the actual RunPod status of pod `jc3a2x03oxa7b0` directly:
tool=Bash
Bash
/**
* Tiny CLI for poking the RunPod adapter without going through Claude.
*
* pnpm --filter @sagan/runner runpod list [--account=personal|team]
* pnpm --filter @sagan/runner runpod get <podId> [--account=personal]
* pnpm --filter @sagan/runner runpod terminate <podId> [--account=personal]
* pnpm --filter @sagan/runner runpod volumes [--account=...]
* pnpm --filter @sagan/runner runpod create-volume --name=<n> --size=<gb> --dc=<dataCenterId> [--account=...]
*/
import '../src/env.js';
import {
createNetworkVolume,
getPod,
listNetworkVolumes,
listPods,
terminatePod,
type RunpodAccount,
} from '../src/tools/runpod.js';
function getAccount(args: string[]): RunpodAccount {
const flag = args.find((a) => a.startsWith('--account='));
const value = flag?.split('=')[1];
return value === 'team' ? 'team' : 'personal';
}
async function main() {
const [cmd, ...rest] = process.argv.slice(2);
const account = getAccount(rest);
switch (cmd) {tool=Bash
Bash
> @sagan/runner@0.0.0 runpod /home/thomasjiralerspong/sagan/services/runner
> tsx scripts/runpod-cli.ts "get" "jc3a2x03oxa7b0" "--account=team"
{
"podId": "jc3a2x03oxa7b0",
"name": "366-cascading-chunk-binding-position-matched",
"desiredStatus": "RUNNING",
"gpuCount": 1,
"gpuTypeId": "NVIDIA H100 80GB HBM3",
"sshHost": "103.207.149.137",
"sshPort": 12215,
"createdAt": "2026-05-13T23:46:19.729Z",
"lastStartedAt": "2026-05-13T23:46:19.728Z",
"costPerHr": 2.99,
"adjustedCostPerHr": 2.99,
"uptimeSeconds": 154
}tool=Bash
Bash
<persisted-output>
Output too large (156.7KB). Full output saved to: /home/thomasjiralerspong/.claude/projects/-home-thomasjiralerspong-sagan/745f60d3-076c-4c1c-99e1-a24885555d4e/tool-results/bawjewns7.txt
Preview (first 2KB):
=== orchestrator run lookup ===
{"run":{"id":"7721a1e0-37d2-4087-9103-a84f76ed230e","kind":"apply","provider":"claude_code","status":"completed","request":"experiment-orchestrator-for:manual-retest-1778715564 — retest after stderr/networkVolume fixes","planMd":null,"planJson":null,"approvalRequired":false,"approvedBy":null,"approvedAt":null,"scopeEntityKind":"experiment","scopeEntityId":"b2766257-ac70-4f37-b904-697c7dd474ce","chatSessionId":null,"branchName":null,"vercelDeploymentUrl":null,"runpodAccount":"team","runpodPodId":null,"runpodPodIds":null,"runpodStatus":null,"transcriptLogPath":null,"changedFilesJson":null,"lastError":null,"startedAt":"2026-05-13T23:39:24.754Z","completedAt":"2026-05-13T23:50:39.482Z","createdAt":"2026-05-13T23:39:24.664Z","updatedAt":"2026-05-13T23:50:39.482Z"},"events":[{"id":"4c6bccff-9cbd-4e92-aabe-28992406975b","runId":"7721a1e0-37d2-4087-9103-a84f76ed230e","eventType":"started","body":"kind=apply","metadata":{"permissionMode":"bypassPermissions"},"createdAt":"2026-05-13T23:39:24.769Z"},{"id":"17f241db-bf07-40db-abff-1b87f78a2880","runId":"7721a1e0-37d2-4087-9103-a84f76ed230e","eventType":"tool_call","body":"Bash","metadata":{"tool":"Bash","input":{"command":"python scripts/sagan_state.py status 366 2>&1 | head -60","description":"Check experiment 366 status"}},"createdAt":"2026-05-13T23:39:36.683Z"},{"id":"766f38a0-1108-4ce7-9dab-96adfdba155e","runId":"7721a1e0-37d2-4087-9103-a84f76ed230e","eventType":"tool_result","body":"/bin/bash: line 4: python: command not found","metadata":{"is_error":false},"createdAt":"2026-05-13T23:39:36.805Z"},{"id":"0e47324e-9733-4768-b95e-cbf2f4bc344e","runId":"7721a1e0-37d2-4087-9103-a84f76ed230e","eventType":"tool_call","body":"Bash","metadata":{"tool":"Bash","input":{"command":"python3 scripts/sagan_state.py status 366 2>&1 | head -80","description":"Check experiment 366 status"}},"createdAt":"2026-05-13T23:39:40.021Z"},{"id":"54140be9-1e3c-4ee6-aab2-e63471d95887","runId":"7721a1e0-37d2-4087-9103-a84
...
</persisted-output>tool=Bash
Bash
"body":"Bash"
"eventType":"tool_result"
"body":"run status: completed\nrequest[:300]: experiment-orchestrator-for:manual-test-1778713343 — re-run #366 from running stage post-refactor"
"eventType":"tool_call"
"body":"Bash"
"eventType":"tool_result"
"body":"{'started': 1, 'tool_call': 51, 'tool_result': 51, 'assistant_text': 5, 'sdk_result': 1, 'completed': 1}\n\n{\n \"
"eventType":"tool_call"
"body":"Bash"
"eventType":"tool_result"
"body":"{\n \"
"eventType":"tool_call"
"body":"Bash"
"eventType":"tool_result"
"body":"{\n \"
"eventType":"tool_call"
"body":"Bash"
"eventType":"tool_result"
"body":"{\n \"
"eventType":"tool_call"
"body":"TodoWrite"
"eventType":"tool_result"
"body":"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"
"eventType":"tool_call"
"body":"Bash"
"eventType":"tool_result"
"body":"{\n \"
"eventType":"assistant_text"
"body":"Pod spec is ready. Spawning the pod-provisioner."
"eventType":"tool_call"
"body":"Agent"
"eventType":"tool_call"
"body":"Read"
"eventType":"tool_result"
"body":"1\t- [spec-json quoting gotcha](feedback-spec-json-quoting.md) — write JSON to a temp file, not a heredoc variable; heredoc inserts a leading newline that breaks JSON parse at position 1\n2\t"
"eventType":"tool_call"
"body":"Bash"
"eventType":"tool_result"
"body":"JSON valid, length: 619"
"eventType":"tool_call"
"body":"Bash"
"eventType":"tool_result"
"body":"Exit code 2\n\n> @sagan/runner@0.0.0 pod-tool /home/thomasjiralerspong/sagan/services/runner\n> tsx scripts/pod-tool.ts \"
"eventType":"tool_call"
"body":"Bash"
"eventType":"tool_result"
"body":"Exit code 1\nERROR: column \"
"eventType":"tool_call"
"body":"Bash"
"eventType":"tool_result"
"eventType":"tool_call"
"body":"Bash"
"eventType":"tool_result"
"eventType":"tool_call"
"body":"Bash"
"eventType":"tool_result"
"eventType":"tool_call"
"body":"Bash"
"eventType":"tool_result"
"eventType":"tool_call"
"body":"Bash"
"eventType":"tool_result"
"eventType":"tool_call"
"body":"Bash"
"eventType":"tool_result"
"eventType":"tool_call"
"body":"Read"
"eventType":"tool_result"
"eventType":"tool_call"
"body":"Bash"
"eventType":"tool_result"
"body":" 9a0ee013-541e-42b4-83e6-5ec2eae53c67 | experiment | cancelled | team | | 2026-05-13 23:07:58.27603+00"
"eventType":"tool_call"
"body":"Bash"
"eventType":"tool_result"
"body":" f970a62f-e32a-4faa-97ae-e29669fe1d2e\n\nINSERT 0 1"
"eventType":"tool_call"
"body":"Bash"
"eventType":"tool_result"
"body":"> @sagan/runner@0.0.0 pod-tool /home/thomasjiralerspong/sagan/services/runner\n> tsx scripts/pod-tool.ts \"
"eventType":"tool_call"
"body":"Bash"
"eventType":"tool_result"
"body":"> @sagan/runner@0.0.0 pod-tool /home/thomasjiralerspong/sagan/services/runner\n> tsx scripts/pod-tool.ts \"
"eventType":"tool_call"
"body":"Read"
"eventType":"tool_result"
"body":"Wasted call — file unchanged since your last Read. Refer to that earlier tool_result instead."
"eventType":"file_change"
"body":"wrote /home/thomasjiralerspong/sagan/.claude/agent-memory/pod-provisioner/feedback-agent-run-kind-mismatch.md"
"eventType":"tool_call"
"body":"Write"
"eventType":"tool_result"
"body":"File created successfully at: /home/thomasjiralerspong/sagan/.claude/agent-memory/pod-provisioner/feedback-agent-run-kind-mismatch.md (file state is current in your context — no need to Read it back)"
"eventType":"file_change"
"body":"edited /home/thomasjiralerspong/sagan/.claude/agent-memory/pod-provisioner/MEMORY.md"
"eventType":"tool_call"
"body":"Edit"
"eventType":"tool_result"
"body":"The file /home/thomasjiralerspong/sagan/.claude/agent-memory/pod-provisioner/MEMORY.md has been updated successfully. (file state is current in your context — no need to Read it back)"
"eventType":"tool_result"
"eventType":"assistant_text"
"body":"Pod dispatched (pod ID `jc3a2x03oxa7b0`). The run is estimated at 240 minutes. I'll set up monitoring."
"eventType":"tool_call"…tool=Bash
Bash
=== pod-provisioner agent run state ===
status: running
lastError: None
updatedAt: 2026-05-14T03:23:13.298Z
podId: jc3a2x03oxa7b0
podIds: ['jc3a2x03oxa7b0']
# events: 1051
2026-05-14T03:22:22 runpod_progress 90% · stats artifacts written, rendering figures
2026-05-14T03:22:23 runpod_progress 98% · figures rendered, finalizing run manifest
2026-05-14T03:22:25 runpod_progress 100% · experiment completed
2026-05-14T03:22:32 runpod_progress 5% · bootstrap complete on branch issue-366
2026-05-14T03:22:33 runpod_progress 6% · issue 366 bootstrap done, resolving markers
2026-05-14T03:22:39 runpod_progress 8% · markers resolved, building word pool
2026-05-14T03:22:42 runpod_progress 10% · manifest written, beginning per-adapter loop (11 adapters)
2026-05-14T03:22:44 runpod_progress 13% · trained T_2_seed42
2026-05-14T03:23:13 runpod_status RUNNING
2026-05-14T03:23:14 runpod_progress 16% · evaled T_2_seed42
2026-05-14T03:23:15 runpod_progress 19% · trained C_2_seed42
2026-05-14T03:23:39 runpod_progress 22% · evaled C_2_seed42
2026-05-14T03:23:39 runpod_progress 25% · trained T_3_seed42
2026-05-14T03:24:09 runpod_progress 28% · evaled T_3_seed42
2026-05-14T03:24:10 runpod_progress 31% · trained C_3_seed42
2026-05-14T03:24:12 auto_recovery_queued 0164ffaa-cc78-4944-8735-dbcc4578d0dd
2026-05-14T03:24:12 runpod_blocked HTTP 503 from RunPod: {"message":"Service Unavailable"}
2026-05-14T03:24:35 runpod_progress 34% · evaled C_3_seed42
2026-05-14T03:24:35 runpod_progress 37% · trained T_3_seed137
2026-05-14T03:25:03 runpod_progress 40% · evaled T_3_seed137
2026-05-14T03:25:04 runpod_progress 43% · trained C_3_seed137
2026-05-14T03:25:29 runpod_progress 46% · evaled C_3_seed137
2026-05-14T03:25:30 runpod_progress 49% · trained T_3_ablate_seed42
2026-05-14T03:25:54 runpod_progress 52% · evaled T_3_ablate_seed42
2026-05-14T03:25:55 runpod_progress 55% · trained T_4_seed42The 503 was transient. The pod is healthy and the experiment is progressing (now at ~55%). But I see something strange — the pod has cycled through bootstrap → 100% → bootstrap multiple times. Let me check the dockerArgs and the recent bootstrap cycles to understand if this is a runaway loop.
tool=Bash
Bash
=== count bootstrap cycles + completion events ===
total events: 1053
bootstrap-complete events: 28
bootstrap @ 2026-05-13T23:47:58.305Z
bootstrap @ 2026-05-14T00:52:30.903Z
bootstrap @ 2026-05-14T00:58:28.372Z
bootstrap @ 2026-05-14T01:04:36.443Z
bootstrap @ 2026-05-14T01:10:19.043Z
bootstrap @ 2026-05-14T01:15:54.978Z
bootstrap @ 2026-05-14T01:21:46.199Z
bootstrap @ 2026-05-14T01:27:21.171Z
bootstrap @ 2026-05-14T01:33:13.333Z
bootstrap @ 2026-05-14T01:39:02.850Z
bootstrap @ 2026-05-14T01:44:54.090Z
bootstrap @ 2026-05-14T01:50:29.067Z
bootstrap @ 2026-05-14T01:56:04.100Z
bootstrap @ 2026-05-14T02:01:55.712Z
bootstrap @ 2026-05-14T02:07:30.604Z
bootstrap @ 2026-05-14T02:13:21.986Z
bootstrap @ 2026-05-14T02:19:12.795Z
bootstrap @ 2026-05-14T02:25:04.260Z
bootstrap @ 2026-05-14T02:30:58.726Z
bootstrap @ 2026-05-14T02:36:49.643Z
bootstrap @ 2026-05-14T02:42:07.596Z
bootstrap @ 2026-05-14T02:47:25.273Z
bootstrap @ 2026-05-14T02:53:05.909Z
bootstrap @ 2026-05-14T02:59:13.461Z
bootstrap @ 2026-05-14T03:05:04.535Z
bootstrap @ 2026-05-14T03:10:55.396Z
bootstrap @ 2026-05-14T03:16:41.581Z
bootstrap @ 2026-05-14T03:22:32.257Z
100% events: 27
100% @ 2026-05-14T00:52:18.384Z
100% @ 2026-05-14T00:58:18.642Z
100% @ 2026-05-14T01:04:24.144Z
100% @ 2026-05-14T01:10:06.325Z
100% @ 2026-05-14T01:15:48.554Z
100% @ 2026-05-14T01:21:31.021Z
100% @ 2026-05-14T01:27:08.839Z
100% @ 2026-05-14T01:32:54.391Z
100% @ 2026-05-14T01:38:57.623Z
100% @ 2026-05-14T01:44:46.804Z
100% @ 2026-05-14T01:50:12.149Z
100% @ 2026-05-14T01:55:47.962Z
100% @ 2026-05-14T02:01:41.687Z
100% @ 2026-05-14T02:07:23.016Z
100% @ 2026-05-14T02:13:10.182Z
100% @ 2026-05-14T02:19:05.062Z
100% @ 2026-05-14T02:24:58.737Z
100% @ 2026-05-14T02:30:43.955Z
100% @ 2026-05-14T02:36:41.507Z
100% @ 2026-05-14T02:42:02.100Z
100% @ 2026-05-14T02:47:09.697Z
100% @ 2026-05-14T02:53:01.286Z
100% @ 2026-05-14T02:58:56.176Z
100% @ 2026-05-14T03:04:56.106Z
100% @ 2026-05-14T03:10:48.323Z
100% @ 2026-05-14T03:16:36.763Z
100% @ 2026-05-14T03:22:25.398Z
503 / error events: 1
2026-05-14T03:24:12.722Z runpod_blocked HTTP 503 from RunPod: {"message":"Service Unavailable"}The pod has been in a runaway loop — 28 bootstrap cycles, 27 "experiment completed" 100% events, since 23:47. Each cycle is ~6 minutes, meaning the experiment script keeps restarting after completion. This burns money (~$3/hr × 3.5h = ~$10.50 so far). The 503 is a separate transient blip during monitoring — the dispatch itself succeeded. Let me confirm what's happening by checking the dockerArgs and the pod state, then stop the runaway:
tool=Bash
Bash
=== experiment 366 podSpec / dockerArgs ===
keys: ['env', 'name', 'config', 'gpuType', 'gpuCount', 'volumeGb', 'cloudType', 'dockerArgs', 'containerDiskGb', 'estimatedMinutes']
{
"env": {
"SAGAN_EPS_BRANCH": "issue-366",
"SAGAN_EPS_COMMIT_SHA": "29a985e7aafd9e7968a902411f62e19f52b26ef3"
},
"name": "366-cascading-chunk-binding-position-matched",
"config": {
"command": "Run the 366 cascading chunk-binding sweep on Qwen-2.5-7B-Instruct (11 LoRA adapters, position-matched 1-word filler, recipient-EOS-masked); see scripts/experiments/366/run_366.sh on branch issue-366.",
"artifacts": [
"artifacts/366/adapter_{N}_{arm}_seed{seed}.safetensors",
"artifacts/366/adapter_3_ablate_seed42.safetensors",
"artifacts/366/train_log_{N}_{arm}_seed{seed}.jsonl",
"artifacts/366/train_rows_{N}_{arm}_seed{seed}.jsonl",
"artifacts/366/eval_completions_{N}_{arm}_seed{seed}.jsonl",
"artifacts/366/seeded_probe_completions_{N}_{arm}_seed{seed}.jsonl",
"artifacts/366/matcher_hits_{N}_{arm}_seed{seed}.csv",
"artifacts/366/cell_aggregates_{N}_{arm}_seed{seed}.csv",
"artifacts/366/donor_fidelity.csv",
"artifacts/366/word_pool.txt",
"artifacts/366/cascade_curves.json",
"artifacts/366/seeded_probe_results.json",
"artifacts/366/figures/cascade_curve_per_N.svg",
"artifacts/366/figures/full_cascade_rate.svg",
"artifacts/366/figures/position_distribution.svg",
"artifacts/366/figures/seeded_probe.svg",
"artifacts/366/run_manifest.json"
]
},
"gpuType": "H100",
"gpuCount": 1,
"volumeGb": 100,
"cloudType": "SECURE",
"dockerArgs": "bash -lc 'set -euo pipefail; cd /workspace/explore-persona-space && bash scripts/experiments/366/run_366.sh'",
"containerDiskGb": 100,
"estimatedMinutes": 240
}
---
planJson.podSpec/runpodSpec:
nonetool=Bash
Bash
main __pycache__ --- branch: 29a985e7 issue #366: exclude A∩B pre-existing shared subtokens from forbidden set in marker resolver Shell cwd was reset to /home/thomasjiralerspong/sagan
tool=Bash
Bash
From https://github.com/superkaiba/explore-persona-space
* branch issue-366 -> FETCH_HEAD
#!/usr/bin/env bash
# Issue #366 cascade experiment pod entrypoint.
#
# Invoked by Sagan's bootstrap wrapper via dockerArgs:
# bash -lc 'set -euo pipefail; cd /workspace && bash scripts/experiments/366/run_366.sh'
#
# The wrapper has already done: clone repo onto branch $SAGAN_EPS_BRANCH at
# /workspace, installed deps via `uv sync`, redirected HF_HOME / WANDB_*
# caches to /workspace, and posted 5% progress. Our job is to run the
# Python orchestrator and let the wrapper post the final 100% on exit.
set -euo pipefail
# Always work from the repo root regardless of how this script was invoked.
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
REPO_ROOT="$(cd "$SCRIPT_DIR/../../.." && pwd)"
cd "$REPO_ROOT"
echo "=================================================================="
echo "Issue #366 — cross-persona chunk-binding cascade"
echo "Repo: $REPO_ROOT"
echo "Branch (env): ${SAGAN_EPS_BRANCH:-unknown}"
echo "Commit (env): ${SAGAN_EPS_COMMIT_SHA:-unknown}"
echo "Git HEAD: $(git rev-parse HEAD 2>/dev/null || echo unknown)"
echo "Date: $(date -u +%Y-%m-%dT%H:%M:%SZ)"
echo "HF_HOME: ${HF_HOME:-unset}"
echo "WANDB_PROJECT: ${WANDB_PROJECT:-unset}"
echo "=================================================================="
# Default WANDB_PROJECT if the wrapper didn't set one.
export WANDB_PROJECT="${WANDB_PROJECT:-issue366_cascade}"
# vLLM memory budget: 0.60 matches #354 and leaves headroom for the merge
# step's transient memory spike. Override via env if your pod has different
# constraints.
export VLLM_GPU_MEM_UTIL="${VLLM_GPU_MEM_UTIL:-0.60}"
# Pin Python to the one uv installed.
exec uv run python scripts/experiments/366/run_366.py --gpu 0
Shell cwd was reset to /home/thomasjiralerspong/sagantool=Bash
Bash
/**
* Pod-side bootstrap that ports the relevant slices of EPS's
* `scripts/bootstrap_pod.sh` into the dockerArgs that Sagan dispatches.
*
* EPS-era model: pod boots vanilla, then a local script (`bootstrap_pod.sh`)
* SSHes in and pushes `.env`, clones the repo, installs uv, syncs deps, sets
* up cache redirects, starts a log shipper. Then a human SSHes in again to
* launch the experiment.
*
* Sagan-era model: pod boots running a self-contained dockerArgs that does
* all of the above without SSH. The planner authors only the actual
* experiment command; this wrapper supplies the bootstrap and runs the
* planner's command at the end.
*
* Auto-skip: planners that already inlined their own bootstrap (legacy plans
* like #363, #366, #333) keep working. Detection is by the `# sagan:no-wrap`
* sentinel or a `git clone` substring.
*/
export interface BootstrapWrapInput {
dockerArgs?: string;
env?: Record<string, string>;
}
export interface BootstrapWrapResult {
dockerArgs: string;
envAdditions: Record<string, string>;
wrapped: boolean;
}
/**
* Decide whether to wrap the planner's dockerArgs with Sagan's bootstrap.
*
* Skip wrap when:
* - dockerArgs is absent (pod boots interactively / nothing to run)
* - dockerArgs already contains `git clone` (legacy fat-dockerArgs plan)
* - dockerArgs starts with the `# sagan:no-wrap` sentinel
*/
export function wrapDockerArgsForBootstrap(input: BootstrapWrapInput): BootstrapWrapResult {
const original = input.dockerArgs ?? '';
if (!original.trim()) {
return { dockerArgs: original, envAdditions: {}, wrapped: false };
}
if (shouldSkipWrap(original)) {
return { dockerArgs: original, envAdditions: {}, wrapped: false };
}
// Pass the planner's command as a base64 env var. Decoded on the pod and
// executed via `bash`. Base64 sidesteps every quoting trap that arises when
// the planner's command itself includes single quotes, dollar signs, or
// newlines.
const userCmdB64 = Buffer.from(original, 'utf8').toString('base64');
return {
dockerArgs: `bash -lc ${shellSingleQuote(BOOTSTRAP_SCRIPT)}`,
envAdditions: { SAGAN_USER_CMD_B64: userCmdB64 },
wrapped: true,
};
}
function shouldSkipWrap(dockerArgs: string): boolean {
const head = dockerArgs.slice(0, 200);
if (/#\s*sagan:no-wrap/i.test(head)) return true;
if (/\bgit\s+clone\b/.test(dockerArgs)) return true;
return false;
}
function shellSingleQuote(s: string): string {
return `'${s.replace(/'/g, `'\\''`)}'`;
}
// The bootstrap snippet that runs inside the pod. Keep this self-contained:
// it must work with only the env vars Sagan injects (SAGAN_*, the forwarded
// CLIENT_ENV_ALLOWLIST set, and SAGAN_USER_CMD_B64).
const BOOTSTRAP_SCRIPT = `
set -euo pipefail
export PATH="$HOME/.local/bin:$PATH"
# ─── Required env (set by Sagan dispatcher) ────────────────────────────────
: "\${GITHUB_TOKEN:?GITHUB_TOKEN missing — check Sagan client-repo .env forwarding}"
: "\${SAGAN_EPS_BRANCH:?SAGAN_EPS_BRANCH missing — orchestrator must set pod_spec.env.SAGAN_EPS_BRANCH after the implementer pushes the per-experiment branch}"
: "\${SAGAN_USER_CMD_B64:?SAGAN_USER_CMD_B64 missing — dispatcher wrapper is broken}"
# ─── Cache redirects (bootstrap_pod.sh step 6) ─────────────────────────────
export HF_HOME=/workspace/.cache/huggingface
export WANDB_CACHE_DIR=/workspace/.cache/wandb
export WANDB_DATA_DIR=/workspace/.cache/wandb
export UV_CACHE_DIR=/workspace/.cache/uv
export TRITON_CACHE_DIR=/workspace/.cache/triton
mkdir -p "$HF_HOME" "$WANDB_CACHE_DIR" "$UV_CACHE_DIR" "$TRITON_CACHE_DIR"
# ─── Install uv if missing (bootstrap_pod.sh step 2) ───────────────────────
if ! command -v uv >/dev/null 2>&1; then
curl -LsSf https://astral.sh/uv/install.sh | sh
export PATH="$HOME/.local/bin:$PATH"
fi
# ─── Clone or fast-forward client repo at the implementer's branch ─────────
# (bootstrap_pod.sh step 4, but tokenized URL retained on disk so subsequent
# resume cycles re-auth wi…tool=Bash
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v="\${!k:-}"
[ -n "$v" ] && printf '%s=%s\\n' "$k" "$v"
done
} > "$REPO/.env"
# ─── Install Python deps (bootstrap_pod.sh step 5) ─────────────────────────
uv sync --locked
# ─── POST progress ─────────────────────────────────────────────────────────
# Always send {progressPct, message}; optionally include an errorTail field
# (tail of stderr) on failure so dashboards / the orchestrator see the actual
# failure reason instead of a bare exit code.
post_progress() {
local pct="$1"; local msg="$2"; local error_tail="\${3:-}"
if [ -z "\${SAGAN_PROGRESS_URL:-}" ] || [ -z "\${SAGAN_POD_PROGRESS_TOKEN:-}" ]; then
return 0
fi
python3 - "$pct" "$msg" "$error_tail" <<'PY' || true
import json, os, sys, urllib.request
pct = float(sys.argv[1])
msg = sys.argv[2]
err = sys.argv[3]
body = {"progressPct": pct, "message": msg}
if err:
body["errorTail"] = err[-15500:]
req = urllib.request.Request(
os.environ["SAGAN_PROGRESS_URL"],
data=json.dumps(body).encode("utf-8"),
headers={
"authorization": "Bearer " + os.environ["SAGAN_POD_PROGRESS_TOKEN"],
"content-type": "application/json",
},
method="POST",
)
try:
urllib.request.urlopen(req, timeout=15).read()
except Exception as exc:
sys.stderr.write("sagan-progress post failed: " + str(exc))
PY
}
post_progress 5 "bootstrap complete on branch $SAGAN_EPS_BRANCH"
# ─── Heartbeat: declining wall-clock ETA, no event-row spam ────────────────
# Spawns a background loop that POSTs {estimatedRemainingMinutes:N, heartbeat:true}
# every 90s while the user-cmd is running. The webhook's heartbeat:true flag
# updates pod_lifecycle.metadata + experiments.plan_json (so the dashboard
# sidebar's "Nm left · $X.XX" ticks) but skips the agent_run_events /
# workflow_events insert so the timeline doesn't fill with heartbeats.
# Quiet no-op when SAGAN_ESTIMATED_MINUTES is unset.
HEARTBEAT_PID=""
if [ -n "\${SAGAN_ESTIMATED_MINUTES:-}" ] && [ -n "\${SAGAN_PROGRESS_URL:-}" ] && [ -n "\${SAGAN_POD_PROGRESS_TOKEN:-}" ]; then
START_EPOCH=$(date +%s)
(
sleep 30 # initial offset so the user-cmd posts its first ETA first if it wants
while true; do
ELAPSED_MIN=$(( ($(date +%s) - START_EPOCH) / 60 ))
REMAINING=$(( SAGAN_ESTIMATED_MINUTES - ELAPSED_MIN ))
if [ "$REMAINING" -lt 0 ]; then REMAINING=0; fi
python3 - "$REMAINING" "$ELAPSED_MIN" <<'PY' || true
import json, os, sys, urllib.request
remaining = int(sys.argv[1])
elapsed = int(sys.argv[2])
body = {
"estimatedRemainingMinutes": remaining,
"heartbeat": True,
"message": f"heartbeat: {elapsed}m elapsed, ~{remaining}m left",
}
req = urllib.request.Request(
os.environ["SAGAN_PROGRESS_URL"],
data=json.dumps(body).encode("utf-8"),
headers={
"authorization": "Bearer " + os.environ["SAGAN_POD_PROGRESS_TOKEN"],
"content-type": "application/json",
},
method="POST",
)
try:
urllib.request.urlopen(req, timeout=15).read()
except Exception:
pass # best-effort; pod transient network blips are not fatal
PY
sleep 90
done
) &
HEARTBEAT_PID=$!
fi
# ─── Decode and run the planner's command ──────────────────────────────────
# Capture stdout to /tmp/sagan_user.out and stderr to /tmp/sagan_user.err so
# we can tail the actual failure into the progress webhook on non-zero exit.
echo "$SAGAN_USER_CMD_B64" | base64 -d > /tmp/sagan_user_cmd.sh
chmod +x /tmp/sagan_user_cmd.sh
set +e
bash /tmp/sagan_user_cmd.sh > >(tee /tmp/sagan_user.out) 2> >(tee /tmp/sagan_user.err >&2)
EXIT_CODE=$?
set -e
# Stop the heartbeat once user-cmd has exited (success or failure).
if [ -n "$HEARTBEAT_PID" ]; then
kill "$HEARTBEAT_PID" 2>/dev/null || true
fi
if [ "$EXIT_CODE" -eq 0 ]; then
post_progress 100 "experiment completed"
else
# Capture the last 15.5KB of stderr. If stderr is empty, fall back to the
# last 15.5KB of stdout (some scripts print errors to stdout).
ERROR_TAIL=""
if [ -s /tmp/sagan_user.err ]; then
ERROR_TAIL="$(…I see now: the pod completes each run cleanly (`exit $EXIT_CODE`), but RunPod's container then restarts the dockerArgs, causing the runaway loop. This is a RunPod auto-restart behavior issue, not a script bug. The experiment has produced valid results 27 times — each cycle overwrites artifacts. The 503 was a transient API hiccup during status polling. The pod has now been bleeding ~$3/hr for 3.5 hours running redundant work. I need to terminate it.
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{
"podId": "jc3a2x03oxa7b0",
"name": "366-cascading-chunk-binding-position-matched",
"desiredStatus": "RUNNING",
"gpuCount": 1,
"gpuTypeId": "NVIDIA H100 80GB HBM3",
"sshHost": "103.207.149.137",
"sshPort": 12215,
"createdAt": "2026-05-13T23:46:19.729Z",
"lastStartedAt": "2026-05-13T23:46:19.728Z",
"costPerHr": 2.99,
"adjustedCostPerHr": 2.99,
"uptimeSeconds": 304
}
--- last 5 events
2026-05-14T03:26:46 runpod_progress 67% · trained T_5_seed42
2026-05-14T03:27:13 runpod_progress 70% · evaled T_5_seed42
2026-05-14T03:27:14 runpod_progress 73% · trained C_5_seed42
2026-05-14T03:27:41 runpod_progress 76% · evaled C_5_seed42
2026-05-14T03:27:42 runpod_progress 82% · donor fidelity csv writtentool=Bash
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2026-05-13T23:46:24 deploy_completed pod-provisioner committed 1 pod(s)
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11: * (account='team') can still be terminated/queried. 99: // can still be terminated/queried. RunPod ignores X-Team-Id on personal- 392:export async function terminatePod( 470:export async function stopPod(
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}
}
}`,
);
return (data.myself?.pods ?? []).map(parsePod);
}
export async function terminatePod(
podId: string,
account: RunpodAccount = 'personal',
): Promise<boolean> {
if (isDryRunPodId(podId)) return true;
const data = await graphql<{ podTerminate: unknown }>(
account,
`mutation Terminate($id: String!) { podTerminate(input: {podId: $id}) }`,
{ id: podId },
);
return data.podTerminate === null || data.podTerminate === true;
}
export interface NetworkVolumeInfo {
id: string;
name: string;
size: number; // GB
dataCenterId: string;
}
interface RawNetworkVolume {
id?: string | null;
name?: string | null;
size?: number | null;
dataCenterId?: string | null;
}
function parseNetworkVolume(raw: RawNetworkVolume): NetworkVolumeInfo {
return {
id: raw.id ?? '',
name: raw.name ?? '',
size: raw.size ?? 0,
dataCenterId: raw.dataCenterId ?? '',
};
}
export async function listNetworkVolumes(
account: RunpodAccount = 'personal',
): Promise<NetworkVolumeInfo[]> {
if (isDryRun()) return [];
const data = await graphql<{ myself: { networkVolumes?: RawNetworkVolume[] } | null }>(
account,
`{
myself {
networkVolumes {
id name size dataCenterId
}
}
}`,
);
return (data.myself?.networkVolumes ?? []).map(parseNetworkVolume);
}
export async function createNetworkVolume(
input: { name: string; size: number; dataCenterId: string },
account: RunpodAccount = 'personal',
): Promise<NetworkVolumeInfo> {
if (isDryRun()) {
return { id: 'dry-run-volume', name: input.name, size: input.size, dataCenterId: input.dataCenterId };
}
const data = await graphql<{ saveNetworkVolume: RawNetworkVolume | null }>(
account,
`mutation CreateVolume($name: String!, $size: Int!, $dc: String!) {
saveNetworkVolume(input: { name: $name, size: $size, dataCenterId: $dc }) {
id name size dataCenterId
}
}`,
{ name: input.name, size: input.size, dc: input.dataCenterId },
);
if (!data.saveNetworkVolume) {
throw new RunPodError(
`saveNetworkVolume returned null for ${input.name} (size=${input.size}GB dc=${input.dataCenterId})`,
);
}
return parseNetworkVolume(data.saveNetworkVolume);
}
export async function stopPod(
podId: string,
account: RunpodAccount = 'personal',
): Promise<PodInfo> {
if (isDryRunPodId(podId)) return dryRunPodInfo(podId, account, 'STOPPED');
const data = await graphql<{ podStop: RawPod | null }>(
account,
`mutation Stop($id: String!) {
podStop(input: {podId: $id}) {
id name desiredStatus gpuCount createdAt lastStartedAt costPerHr adjustedCostPerHr
machine { gpuTypeId costPerHr currentPricePerGpu }
runtime { uptimeInSeconds ports { ip publicPort privatePort type isIpPublic } }
}
}`,
{ id: podId },
);
if (!data.podStop) throw new RunPodError(`podStop returned null for ${podId}`);
return parsePod(data.podStop);
}
export async function resumePod(
podId: string,
gpuCount: number,
account: RunpodAccount = 'personal',
): Promise<PodInfo> {
if (isDryRunPodId(podId)) return { ...dryRunPodInfo(podId, account, 'RUNNING'), gpuCount };
const data = await graphql<{ podResume: RawPod | null }>(
account,
`mutation Resume($id: String!, $n: Int!) {
podResume(input: {podId: $id, gpuCount: $n}) {
id name desiredStatus gpuCount createdAt
lastStartedAt costPerHr adjustedCostPerHr
machine { gpuTypeId costPerHr currentPricePerGpu }
runtime { uptimeInSeconds ports { ip publicPort privatePort type isIpPublic } }
}
}`,
{ id: podId, n: gpuCount },
);
if (!data.podResume) throw new RunPodError(`podResume returned null for ${podId}`);
return parsePod(data.podResume);
}
/** Poll until 22/tcp has a public mapping. Returns the final PodInfo. */
export async function waitForSsh(
podId: string,
timeoutMs = 600_000,
pollIntervalMs = 10_…tool=Bash
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/**
* CLI for the pod-provisioner sub-agent (see .claude/agents/pod-provisioner.md).
*
* The agent runs an adaptive dispatch loop: it calls `attempt` with a candidate
* spec, reads the structured JSON result, decides what to vary on
* SUPPLY_CONSTRAINT (consolidate, swap cloud type, swap GPU family, swap
* account, …), and repeats. When it lands a working fleet it calls `commit`
* to finalize the agent_run. If it runs out of substitution options it calls
* `escalate` to flip the run to awaiting_approval with a structured note.
*
* Subcommands:
* attempt one dispatch attempt; returns success or structured error
* commit finalize a successful fleet (status=deploying, deploy_completed)
* escalate give up and flip run to awaiting_approval with summary
* record-substitution audit log entry on the agent_run for every variant tried
* stop tear down a pod (cleanup during multi-pod partials)
*
* Every subcommand prints exactly one JSON object to stdout (success or error)
* so the agent can parse the result. Errors go to stderr; the process exits 0
* for "agent-handleable" outcomes (e.g. SUPPLY_CONSTRAINT from `attempt`) and
* non-zero only for unrecoverable infrastructure errors (DB unreachable etc.).
*
* Invoke via:
* pnpm --filter @sagan/runner pod-tool <subcommand> [flags]
*/
import '../src/env.js';
import { eq } from 'drizzle-orm';
import { db, schema } from '../src/db.js';
import { emitEvent } from '../src/queue.js';
import { recordTrail } from '../src/trail.js';
import {
buildPodEnv,
commitDispatchedPod,
parseRunpodDate,
randomProgressToken,
setExperimentStatus,
validatePodSpecs,
type ParsedSpec,
} from '../src/dispatcher.js';
import {
dispatchPod,
stopPod as runpodStopPod,
type DispatchPodSpec,
type RunpodAccount,
} from '../src/tools/runpod.js';
interface AgentRunRow {
id: string;
kind: string;
status: string;
scopeEntityKind: string | null;
scopeEntityId: string | null;
runpodAccount: RunpodAccount;
}
function emit(result: unknown): never {
process.stdout.write(`${JSON.stringify(result)}\n`);
process.exit(0);
}
function fatal(message: string): never {
process.stdout.write(`${JSON.stringify({ ok: false, fatal: true, error: { code: 'fatal', message } })}\n`);
process.exit(2);
}
function flag(args: string[], name: string): string | undefined {
const idx = args.indexOf(`--${name}`);
if (idx >= 0) return args[idx + 1];
const equalsForm = args.find((a) => a.startsWith(`--${name}=`));
return equalsForm?.slice(name.length + 3);
}
function requireFlag(args: string[], name: string): string {
const v = flag(args, name);
if (!v) fatal(`missing required flag --${name}`);
return v;
}
function parseAccount(value: string | undefined, fallback: RunpodAccount): RunpodAccount {tool=Bash
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18: * Every subcommand prints exactly one JSON object to stdout (success or error) 24: * pnpm --filter @sagan/runner pod-tool <subcommand> [flags] 437: case 'stop':
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430 return cmdAttempt(rest);
431 case 'commit':
432 return cmdCommit(rest);
433 case 'escalate':
434 return cmdEscalate(rest);
435 case 'record-substitution':
436 return cmdRecordSubstitution(rest);
437 case 'stop':
438 return cmdStop(rest);
439 default:
440 process.stderr.write(
441 `usage: pod-tool <attempt|commit|escalate|record-substitution|stop> [flags]\n` +
442 ` see scripts/pod-tool.ts header for full flag list\n`,
443 );
444 process.exit(2);
445 }
446 }
447
448 main().catch((err) => {
449 fatal(err instanceof Error ? err.message : String(err));
450 });
451 tool=Bash
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402:async function cmdStop(args: string[]) {
438: return cmdStop(rest);tool=Read
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400 // --account team|personal defaults to 'personal'
401
402 async function cmdStop(args: string[]) {
403 const podId = requireFlag(args, 'pod-id');
404 const account = parseAccount(flag(args, 'account'), 'personal');
405 try {
406 const info = await runpodStopPod(podId, account);
407 // Reflect stopped state on pod_lifecycle so the watcher doesn't keep polling.
408 await db()
409 .update(schema.podLifecycle)
410 .set({
411 status: 'stopped',
412 desiredStatus: info.desiredStatus,
413 lastCheckedAt: new Date(),
414 stoppedAt: parseRunpodDate(info.lastStartedAt) ?? new Date(),
415 updatedAt: new Date(),
416 })
417 .where(eq(schema.podLifecycle.runpodPodId, podId));
418 emit({ ok: true, podId, desiredStatus: info.desiredStatus });
419 } catch (err) {
420 emit({ ok: false, error: { code: 'STOP_FAILED', message: err instanceof Error ? err.message : String(err) } });
421 }
422 }
423
424 // ─── main ───────────────────────────────────────────────────────────────────Stopping the pod (not terminating — preserves the artifacts on the volume for later upload). Then I'll document the diagnosis.
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> @sagan/runner@0.0.0 pod-tool /home/thomasjiralerspong/sagan/services/runner
> tsx scripts/pod-tool.ts "stop" "--pod-id" "jc3a2x03oxa7b0" "--account" "team"
{"ok":true,"podId":"jc3a2x03oxa7b0","desiredStatus":"EXITED"}Pod stopped (desiredStatus EXITED, volume preserved). Now let me confirm and post a diagnosis event to the agent run.
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"name": "366-cascading-chunk-binding-position-matched", "desiredStatus": "EXITED", "gpuCount": 1, "gpuTypeId": "NVIDIA H100 80GB HBM3", "sshHost": "103.207.149.137", "sshPort": 12215, "createdAt": "2026-05-13T23:46:19.729Z", "lastStartedAt": "2026-05-13T23:46:19.728Z", "costPerHr": 2.99, "adjustedCostPerHr": 2.99, "uptimeSeconds": 13 }
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---
tool=Bash
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---
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=== app data eslint.config.mjs next-env.d.ts next.config.ts node_modules package.json postcss.config.mjs proxy.ts public
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apps/web/app/api/agent-runs apps/web/app/(app)/agent apps/web/app/(app)/@modal/(.)agent --- apps/web/app/api apps/web/app/api/agent-runs apps/web/app/api/agent-runs/[id] apps/web/app/api/project-narratives apps/web/app/api/project-narratives/[id] apps/web/app/api/lit-items apps/web/app/api/lit-items/[id] apps/web/app/api/lit-items/suggested apps/web/app/api/conversations apps/web/app/api/conversations/[id] apps/web/app/api/runpods apps/web/app/api/runpods/progress apps/web/app/api/runpods/active apps/web/app/api/mentor apps/web/app/api/mentor/results apps/web/app/api/pipeline apps/web/app/api/pipeline/advance apps/web/app/api/pipeline/events apps/web/app/api/runs apps/web/app/api/runs/[id] apps/web/app/api/search apps/web/app/api/notifications apps/web/app/api/notifications/preferences apps/web/app/api/notifications/register apps/web/app/api/admin apps/web/app/api/admin/health apps/web/app/api/artifacts apps/web/app/api/artifacts/publish apps/web/app/api/narratives apps/web/app/api/narratives/[id]
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apps/web/app/api/agent-runs/[id]/approve/route.ts apps/web/app/api/agent-runs/[id]/runpod/stop/route.ts apps/web/app/api/agent-runs/[id]/codex-review/route.ts apps/web/app/api/agent-runs/[id]/retry/route.ts apps/web/app/api/agent-runs/[id]/route.ts apps/web/app/api/agent-runs/[id]/events/route.ts apps/web/app/api/agent-runs/[id]/launch-pod/route.ts apps/web/app/api/agent-runs/[id]/reject/route.ts apps/web/app/api/agent-runs/route.ts --- comments api: apps/web/app/api/comments apps/web/app/api/experiments/[id]/workflow-events
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import { NextResponse } from 'next/server';
import { z } from 'zod';
import { and, eq, gt } from 'drizzle-orm';
import { agentRuns, agentRunEvents, experiments } from '@sagan/db/schema';
import { db } from '@/lib/db';
import { requireSession } from '@/lib/auth';
// Canonical plan_md / plan_json for experiment-scoped runs live on experiments
// (since 0029). For non-experiment runs (todo plans) the plan lives on the
// agent_run row — that's storage divergence by entity, not a fallback.
async function loadCanonicalPlan(run: {
scopeEntityKind: string | null;
scopeEntityId: string | null;
planMd: string | null;
planJson: unknown;
}): Promise<{ planMd: string | null; planJson: unknown }> {
if (run.scopeEntityKind === 'experiment' && run.scopeEntityId) {
const rows = await db()
.select({ planMd: experiments.planMd, planJson: experiments.planJson })
.from(experiments)
.where(eq(experiments.id, run.scopeEntityId))
.limit(1);
const exp = rows[0];
return { planMd: exp?.planMd ?? null, planJson: exp?.planJson ?? null };
}
return { planMd: run.planMd ?? null, planJson: run.planJson ?? null };
}
const TERMINAL_STATUSES = new Set([
'completed',
'failed',
'cancelled',
'rejected',
'blocked',
]);
/**
* Server-Sent Events stream of agent_run_events for a single run, plus
* status pings every poll. Closes when the run reaches a terminal status.
*
* Format:
* event: event
* data: { ...row }
*
* event: status
* data: { status: "running", ... }
*
* event: done
* data: { status: "completed" }
*/
export async function GET(_req: Request, ctx: { params: Promise<{ id: string }> }) {
try {
await requireSession();
} catch {
return new Response('unauthorized', { status: 401 });
}
const { id } = await ctx.params;
const stream = new ReadableStream({
async start(controller) {tool=Bash
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services/runner/src/queue.ts:117: await emitEvent(row.id, 'stale_recovered', `marked failed after stale running timeout`, {
services/runner/src/queue.ts:225:export async function emitEvent(
services/runner/src/queue.ts:231: await db().insert(schema.agentRunEvents).values({ runId, eventType, body, metadata });
services/runner/src/dispatcher.ts:22:import { emitEvent, QUEUED_CHANNEL } from './queue.js';
services/runner/src/dispatcher.ts:210: await emitEvent(parentRun.id, 'orchestrator_queued', orchestratorId, {
services/runner/src/dispatcher.ts:284: await emitEvent(runId, 'deploy_started', `dispatching ${specs.length} pod(s)`, {
services/runner/src/dispatcher.ts:341: await emitEvent(runId, 'deploy_pod_started', r.pod.podId, {
services/runner/src/dispatcher.ts:413: await emitEvent(runId, 'deploy_pod_failed', r.error.slice(0, 500), {
services/runner/src/dispatcher.ts:433: await emitEvent(runId, 'partial_dispatch_pod_stopped', podId, { reason: 'partial_dispatch' });
services/runner/src/dispatcher.ts:435: await emitEvent(
services/runner/src/dispatcher.ts:464: await emitEvent(runId, finalSucceeded > 0 ? 'deploy_completed' : 'runpod_blocked',
services/runner/src/dispatcher.ts:630: await emitEvent(agentRunId, 'deploy_pod_started', pod.podId, {
services/runner/src/dispatcher.ts:719: await emitEvent(run.id, 'approval_finalized', `${run.kind} approval accepted; no dispatch required`, {
services/runner/src/dispatcher.ts:753: await emitEvent(runId, 'runpod_blocked', err.slice(0, 1000));tool=Bash
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npm warn Unknown env config "auto-install-peers". This will stop working in the next major version of npm. See `npm help npmrc` for supported config options. npm warn Unknown env config "node-linker". This will stop working in the next major version of npm. See `npm help npmrc` for supported config options. npm error code EROFS npm error syscall open npm error path /home/thomasjiralerspong/.npm/_cacache/tmp/*** npm error errno EROFS npm error rofs Invalid response body while trying to fetch https://registry.npmjs.org/tsx: EROFS: read-only file system, open '/home/thomasjiralerspong/.npm/_cacache/tmp/***' npm error rofs Often virtualized file systems, or other file systems that don't support symlinks, give this error. npm error Log files were not written due to an error writing to the directory: /home/thomasjiralerspong/.npm/_logs npm error You can rerun the command with `--loglevel=verbose` to see the logs in your terminal Shell cwd was reset to /home/thomasjiralerspong/sagan
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event posted
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run status: running podId: jc3a2x03oxa7b0 2026-05-14T03:28:30 runpod_progress 8% · markers resolved, building word pool 2026-05-14T03:28:33 runpod_progress 10% · manifest written, beginning per-adapter loop (11 adapters) 2026-05-14T03:28:35 runpod_progress 13% · trained T_2_seed42 2026-05-14T03:30:04 runpod_recovered Recovery resolved (0164ffaa). 503 was a transient RunPod GraphQL hiccup during a runpod_status poll at 03:24:12; dispatch itself succeeded at 23:46:24 and the pod ran the experiment to 100% completion
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"name": "366-cascading-chunk-binding-position-matched", "desiredStatus": "EXITED", "gpuCount": 1, "gpuTypeId": "NVIDIA H100 80GB HBM3", "sshHost": null, "sshPort": null, "createdAt": "2026-05-13T23:46:19.729Z", "lastStartedAt": "2026-05-13T23:46:19.728Z", "costPerHr": 2.99, "adjustedCostPerHr": 2.99, "uptimeSeconds": null }
The pod is fully stopped (desiredStatus=EXITED, uptime=null, sshHost=null). The two stray events at 03:28 were in-flight from a final cycle the pod started just before stop took effect. Recovery is complete. ## Summary **Diagnosis.** The HTTP 503 was a transient RunPod GraphQL hiccup during a routine `runpod_status` poll at 03:24:12 — not a dispatch failure. The pod-provisioner dispatch itself succeeded at 23:46:24 (pod `jc3a2x03oxa7b0`) and the experiment ran to completion 27 times. **Real problem found.** RunPod auto-restarted the container after each clean exit. `run_366.sh` `exec`s python and exits 0 once the 11-adapter sweep finishes; RunPod then re-launches the dockerArgs, the wrapper re-bootstraps (`bootstrap complete on branch issue-366`), and the deterministic sweep runs again. 28 bootstrap cycles burned ~$10 of H100 time on redundant identical work over 3.5h. **Action.** Stopped pod `jc3a2x03oxa7b0` via `pod-tool stop` (desiredStatus=EXITED, no compute charge). Volume preserved — artifacts under `/workspace/explore-persona-space/artifacts/366/` remain intact (adapters, completions, CSVs, figures, run_manifest.json). Posted a `runpod_recovered` event on agent run `f970a62f` with full diagnosis. **Next manual action.** To collect the artifacts, resume pod `jc3a2x03oxa7b0` (or attach its volume to a small pod) and run the uploader subagent against agent run `f970a62f`, then terminate. The structural fix for future runs is orthogonal: either end the bootstrap wrapper with `sleep infinity` after the user-cmd exits, or have the runner stop the pod when it sees the 100% progress post. <<<DONE>>>
success
Claude produced clarifying questions instead of a full plan.
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