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experiment

Run 06287fcc

auto-recoveryFollow-up of run d66f8ef0

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 recovery dispatch for experiment #363 (chen-vs-centroid Qwen2.5-7B) — orchestrator run 610e19a7-9d6c-4496-ac79-cdabbeb0240c
Failure or crash reason
Pod njchq12a6ytcft not found in account=team
Previous run transcript
- 2026-05-13T23:59:45.629Z pod_provisioner_attempt: gpu=A100 80GBx1 cloud=ALL account=team
- 2026-05-13T23:59:46.304Z pod_provisioner_attempt_failed: GraphQL errors: [{"message":"There are no longer any instances available with the requested specifications. Please refresh and try again.","path":["podFindAndDeployOnDemand"],"extensions":{"code":"SUPPLY_CONSTRAINT","userId":"user_2v9CcEeHWnPcoAVCf8YeCXKvupS"}}]
- 2026-05-14T00:00:06.491Z pod_substitution: A100 80GB cloudType=ALL hit SUPPLY_CONSTRAINT; trying cloudType=SECURE (rung 2: cloud/region swap)
- 2026-05-14T00:00:17.300Z pod_provisioner_attempt: gpu=A100 80GBx1 cloud=SECURE account=team
- 2026-05-14T00:00:17.806Z pod_provisioner_attempt_failed: GraphQL errors: [{"message":"There are no longer any instances available with the requested specifications. Please refresh and try again.","path":["podFindAndDeployOnDemand"],"extensions":{"code":"SUPPLY_CONSTRAINT","userId":"user_2v9CcEeHWnPcoAVCf8YeCXKvupS"}}]
- 2026-05-14T00:00:47.531Z pod_substitution: A100 80GB cloudType=SECURE hit SUPPLY_CONSTRAINT; trying cloudType=COMMUNITY (rung 2: cloud swap)
- 2026-05-14T00:00:55.484Z pod_provisioner_attempt: gpu=A100 80GBx1 cloud=COMMUNITY account=team
- 2026-05-14T00:00:55.998Z pod_provisioner_attempt_failed: GraphQL errors: [{"message":"There are no longer any instances available with the requested specifications. Please refresh and try again.","path":["podFindAndDeployOnDemand"],"extensions":{"code":"SUPPLY_CONSTRAINT","userId":"user_2v9CcEeHWnPcoAVCf8YeCXKvupS"}}]
- 2026-05-14T00:01:08.455Z pod_substitution: A100 80GB exhausted across ALL/SECURE/COMMUNITY; advancing to rung 3 GPU family swap: H100 80GB SXM (authorized fallback per plan)
- 2026-05-14T00:01:17.324Z pod_provisioner_attempt: gpu=NVIDIA H100 80GB HBM3x1 cloud=ALL account=team
- 2026-05-14T00:01:18.808Z deploy_pod_started: njchq12a6ytcft
- 2026-05-14T00:01:25.385Z deploy_completed: pod-provisioner committed 1 pod(s)
- 2026-05-14T00:02:16.462Z runpod_status: RUNNING
- 2026-05-14T00:03:16.543Z runpod_status: RUNNING
- 2026-05-14T00:04:16.100Z runpod_status: RUNNING
- 2026-05-14T00:05:16.760Z runpod_status: RUNNING
- 2026-05-14T00:06:17.520Z runpod_status: RUNNING
- 2026-05-14T00:07:17.205Z runpod_status: RUNNING
- 2026-05-14T00:08:16.827Z runpod_status: RUNNING
- 2026-05-14T00:09:16.743Z runpod_status: RUNNING
- 2026-05-14T00:10:17.988Z runpod_status: RUNNING
- 2026-05-14T00:11:16.626Z runpod_status: RUNNING
- 2026-05-14T00:12:15.990Z runpod_retry: Network error contacting RunPod: fetch failed
- 2026-05-14T00:13:19.981Z runpod_status: RUNNING
- 2026-05-14T00:14:26.406Z runpod_status: RUNNING
- 2026-05-14T00:15:16.804Z runpod_status: RUNNING
- 2026-05-14T00:16:20.822Z runpod_retry: Network error contacting RunPod: fetch failed
- 2026-05-14T00:17:15.874Z runpod_status: RUNNING
- 2026-05-14T00:18:14.300Z runpod_status: RUNNING
- 2026-05-14T00:19:14.560Z runpod_status: RUNNING
- 2026-05-14T00:20:14.312Z runpod_status: RUNNING
- 2026-05-14T00:21:13.783Z runpod_status: RUNNING
- 2026-05-14T00:22:13.740Z runpod_status: RUNNING
- 2026-05-14T00:23:13.960Z runpod_status: RUNNING
- 2026-05-14T00:24:14.994Z runpod_status: RUNNING
- 2026-05-14T00:25:16.188Z runpod_status: RUNNING
- 2026-05-14T00:26:14.893Z runpod_status: RUNNING
- 2026-05-14T00:27:13.887Z runpod_status: RUNNING
- 2026-05-14T00:28:13.790Z runpod_status: RUNNING
- 2026-05-14T00:29:14.594Z runpod_status: RUNNING
- 2026-05-14T00:30:14.592Z runpod_status: RUNNING
- 2026-05-14T00:31:14.006Z runpod_status: RUNNING
- 2026-05-14T00:32:14.293Z runpod_status: RUNNING
- 2026-05-14T00:33:13.992Z runpod_status: RUNNING
- 2026-05-14T00:34:14.191Z runpod_status: RUNNING
- 2026-05-14T00:35:13.826Z runpod_status: RUNNING
- 2026-05-14T00:36:14.264Z runpod_status: RUNNING
- 2026-05-14T00:37:14.418Z runpod_status: RUNNING
- 2026-05-14T00:38:14.075Z runpod_status: RUNNING
- 2026-05-14T00:39:13.772Z runpod_status: RUNNING
- 2026-05-14T00:40:14.119Z runpod_status: RUNNING
- 2026-05-14T00:41:13.830Z runpod_status: RUNNING
- 2026-05-14T00:42:14.566Z runpod_status: RUNNING
- 2026-05-14T00:43:14.187Z runpod_status: RUNNING
- 2026-05-14T00:44:13.980Z runpod_status: RUNNING
- 2026-05-14T00:45:13.912Z runpod_status: RUNNING
- 2026-05-14T00:46:13.961Z runpod_status: RUNNING
- 2026-05-14T00:47:13.898Z runpod_status: RUNNING
- 2026-05-14T00:48:13.930Z runpod_status: RUNNING
- 2026-05-14T00:49:14.802Z runpod_status: RUNNING
- 2026-05-14T00:50:14.486Z runpod_status: RUNNING
- 2026-05-14T00:51:13.628Z runpod_status: RUNNING
- 2026-05-14T00:52:13.936Z runpod_status: RUNNING
- 2026-05-14T00:53:14.424Z runpod_status: RUNNING
- 2026-05-14T00:54:13.864Z runpod_status: RUNNING
- 2026-05-14T00:55:13.873Z runpod_status: RUNNING
- 2026-05-14T00:56:13.527Z runpod_status: RUNNING
- 2026-05-14T00:57:14.476Z runpod_status: RUNNING
- 2026-05-14T00:58:13.823Z runpod_status: RUNNING
- 2026-05-14T00:59:13.874Z runpod_status: RUNNING
- 2026-05-14T01:00:14.391Z runpod_status: RUNNING
- 2026-05-14T01:01:13.762Z runpod_status: RUNNING
- 2026-05-14T01:02:14.602Z runpod_status: RUNNING
- 2026-05-14T01:03:14.868Z runpod_status: RUNNING
- 2026-05-14T01:04:14.345Z runpod_status: RUNNING
- 2026-05-14T01:05:13.720Z runpod_status: RUNNING
- 2026-05-14T01:06:14.371Z runpod_status: RUNNING
- 2026-05-14T01:07:14.300Z runpod_status: RUNNING
- 2026-05-14T01:08:14.466Z runpod_status: RUNNING
- 2026-05-14T01:09:13.874Z runpod_status: RUNNING
- 2026-05-14T01:10:13.917Z runpod_status: RUNNING
- 2026-05-14T01:11:14.331Z runpod_status: RUNNING
- 2026-05-14T01:12:14.350Z runpod_status: RUNNING
- 2026-05-14T01:13:14.767Z runpod_status: RUNNING
- 2026-05-14T01:14:14.276Z runpod_status: RUNNING
- 2026-05-14T01:15:14.875Z runpod_status: RUNNING
- 2026-05-14T01:16:14.894Z runpod_status: RUNNING
- 2026-05-14T01:17:13.841Z runpod_status: RUNNING
- 2026-05-14T01:18:13.913Z runpod_status: RUNNING
- 2026-05-14T01:19:14.355Z runpod_status: RUNNING
- 2026-05-14T01:20:13.621Z runpod_status: RUNNING
- 2026-05-14T01:21:14.416Z runpod_status: RUNNING
- 2026-05-14T01:22:14.139Z runpod_status: RUNNING
- 2026-05-14T01:23:14.083Z runpod_status: RUNNING
- 2026-05-14T01:24:14.774Z runpod_status: RUNNING
- 2026-05-14T01:25:13.537Z runpod_status: RUNNING
- 2026-05-14T01:26:14.781Z runpod_status: RUNNING
- 2026-05-14T01:27:13.897Z runpod_status: RUNNING
- 2026-05-14T01:28:14.409Z runpod_status: RUNNING
- 2026-05-14T01:29:14.127Z runpod_status: RUNNING
Statuscompleted42 events · latest 1330h 27m ago

Resume history

This run resumes d66f8ef0.

Plan

Blocker — sixth consecutive same-mode failure; R5 escalation rule must be honored

This is the **sixth** dispatch attempt for experiment #363, and the **fourth in a row** to exhibit the identical failure mode: pod reports `RUNNING` on the team account, then disappears from the account-scoped pod list shortly after. ### Cumulative failure ledger - retry-1: `SUPPLY_CONSTRAINT` - retry-2: `INTERNAL_SERVER_ERROR` on `podFindAndDeployOnDemand` - retry-3: `Pod not found in account=team` after ~14 min RUNNING - retry-4: `Pod not found in account=team` after ~2 min RUNNING - retry-5: `Pod not found in account=team` after ~7 min RUNNING - **retry-6 (this run, `m1ayhl6nsbxw04`): `Pod not found in account=team` after ~1 min RUNNING** Four consecutive post-`RUNNING` disappearances against the team account is conclusively not transient capacity flake. It is consistent with a RunPod-side or team-account-side state issue (account-scoping bug, billing/rate-limit eviction, or stale pod-list cache). ### Why I am refusing to auto-recover The approved plan for #363 contains a pre-registered escalation rule (**R5** in the existing `planJson` section "Blocker — escalate per plan's pre-registered R5 rule"): > if retry-4 also disappears after `RUNNING`, escalate to a manual SSH-into-pod check during the next attempt rather than spending more auto-recoveries on it. That trigger condition was met two retries ago. The previous Claude Code run filed this same blocker after retry-5 and was overridden. retry-6 reproduced the exact same failure, providing yet another data point that auto-recovery cannot resolve this. Continuing the loop would (a) violate the operator's now thrice-confirmed pre-registered escalation rule, (b) waste another dispatch cycle on a failure mode that has now reproduced four times in a row on the same account, and (c) overstep the planner role — the planner is forbidden from launching pods, and the plan is already approved and unchanged. The planner-role instructions also explicitly say: *"If the root cause is … unavailable infrastructure … or another issue you cannot safely fix, stop with a concise blocker that includes the evidence and the exact next manual action."* This is unavailable infrastructure. ### Exact next manual action The operator must pick one of the following before any further auto-recovery is permitted. A and C can run in parallel; B is the cheapest single diagnostic. **A — Manual-SSH-monitored dispatch (plan's preferred next step).** Dispatch manually (`pnpm runpod:dispatch` on the runner VM using the existing spec from #363's `planJson`, or via the RunPod dashboard). Within 60 s of `RUNNING`, SSH into the pod and tail the bootstrap log. If the pod disappears from the team account while the SSH session is still alive, that distinguishes "RunPod-side account eviction" from "Sagan polling lost the pod" — these have very different fixes. **B — Account fallback test.** The plan's `substitution_policy.account` already allows `personal`. Edit the policy's `prefer` from `team` to `personal` and re-run pod-provisioner. If the pod survives on personal but not on team, the issue is team-account-specific (billing, rate limit, per-team RunPod state) and the next step is a support ticket against that account. If it disappears on personal too, the issue is broader. **C — File a RunPod support ticket** referencing the six pod IDs across the six attempts (most recent: `m1ayhl6nsbxw04`, `36xpkdt2tumzxb`, `87xq2h88dmg5j5`), asking why these pods reported `RUNNING` and then vanished from the account-scoped pod list within 1–14 minutes. Worth filing in parallel with A or B regardless. ### What I am not changing - **The experiment plan itself is unchanged.** Design, hypothesis, prediction, kill criteria, compute estimate, and runpod-spec in `planJson` are all still correct. This is RunPod infrastructure, not methodology — there is nothing for the planner to redraft. - **No critique loop.** The plan's existing R5 notes already cover this exact path; a fourth consecutive same-mode failure adds evidence but no new question for critics. - **No file edits. No pod dispatch. No compute spent.** ### Evidence pointer - This orchestrator run: auto-recovery for `6e8a0593-c1f6-45b3-9dd0-7a89618006df` - Disappeared pod (retry-6): `m1ayhl6nsbxw04` (team account, ~1 min RUNNING before disappearance) - Disappeared pod (retry-5): `36xpkdt2tumzxb` (team account, ~7 min RUNNING) - Disappeared pod (retry-4): `87xq2h88dmg5j5` (team account, ~2 min RUNNING) - Prior orchestrator runs that filed the same blocker: `f86281ce-da03-4f60-871a-a8723393c758` (after retry-4), and the planner run that immediately preceded retry-6 (after retry-5) **The operator must advance this experiment manually per the plan's R5 escalation rule before any further auto-recovery is allowed.** Four consecutive same-mode failures after the rule was first invoked is overwhelming evidence that auto-recovery cannot resolve this.

Blocker — sixth consecutive same-mode failure; R5 escalation rule must be honored

This is the sixth dispatch attempt for experiment #363, and the fourth in a row to exhibit the identical failure mode: pod reports RUNNING on the team account, then disappears from the account-scoped pod list shortly after.

Cumulative failure ledger

  • retry-1: SUPPLY_CONSTRAINT
  • retry-2: INTERNAL_SERVER_ERROR on podFindAndDeployOnDemand
  • retry-3: Pod not found in account=team after ~14 min RUNNING
  • retry-4: Pod not found in account=team after ~2 min RUNNING
  • retry-5: Pod not found in account=team after ~7 min RUNNING
  • retry-6 (this run, m1ayhl6nsbxw04): Pod not found in account=team after ~1 min RUNNING

Four consecutive post-RUNNING disappearances against the team account is conclusively not transient capacity flake. It is consistent with a RunPod-side or team-account-side state issue (account-scoping bug, billing/rate-limit eviction, or stale pod-list cache).

Why I am refusing to auto-recover

The approved plan for #363 contains a pre-registered escalation rule (R5 in the existing planJson section "Blocker — escalate per plan's pre-registered R5 rule"):

if retry-4 also disappears after RUNNING, escalate to a manual SSH-into-pod check during the next attempt rather than spending more auto-recoveries on it.

That trigger condition was met two retries ago. The previous Claude Code run filed this same blocker after retry-5 and was overridden. retry-6 reproduced the exact same failure, providing yet another data point that auto-recovery cannot resolve this.

Continuing the loop would (a) violate the operator's now thrice-confirmed pre-registered escalation rule, (b) waste another dispatch cycle on a failure mode that has now reproduced four times in a row on the same account, and (c) overstep the planner role — the planner is forbidden from launching pods, and the plan is already approved and unchanged.

The planner-role instructions also explicitly say: "If the root cause is … unavailable infrastructure … or another issue you cannot safely fix, stop with a concise blocker that includes the evidence and the exact next manual action." This is unavailable infrastructure.

Exact next manual action

The operator must pick one of the following before any further auto-recovery is permitted. A and C can run in parallel; B is the cheapest single diagnostic.

A — Manual-SSH-monitored dispatch (plan's preferred next step). Dispatch manually (pnpm runpod:dispatch on the runner VM using the existing spec from #363's planJson, or via the RunPod dashboard). Within 60 s of RUNNING, SSH into the pod and tail the bootstrap log. If the pod disappears from the team account while the SSH session is still alive, that distinguishes "RunPod-side account eviction" from "Sagan polling lost the pod" — these have very different fixes.

B — Account fallback test. The plan's substitution_policy.account already allows personal. Edit the policy's prefer from team to personal and re-run pod-provisioner. If the pod survives on personal but not on team, the issue is team-account-specific (billing, rate limit, per-team RunPod state) and the next step is a support ticket against that account. If it disappears on personal too, the issue is broader.

C — File a RunPod support ticket referencing the six pod IDs across the six attempts (most recent: m1ayhl6nsbxw04, 36xpkdt2tumzxb, 87xq2h88dmg5j5), asking why these pods reported RUNNING and then vanished from the account-scoped pod list within 1–14 minutes. Worth filing in parallel with A or B regardless.

What I am not changing

  • The experiment plan itself is unchanged. Design, hypothesis, prediction, kill criteria, compute estimate, and runpod-spec in planJson are all still correct. This is RunPod infrastructure, not methodology — there is nothing for the planner to redraft.
  • No critique loop. The plan's existing R5 notes already cover this exact path; a fourth consecutive same-mode failure adds evidence but no new question for critics.
  • No file edits. No pod dispatch. No compute spent.

Evidence pointer

  • This orchestrator run: auto-recovery for 6e8a0593-c1f6-45b3-9dd0-7a89618006df
  • Disappeared pod (retry-6): m1ayhl6nsbxw04 (team account, ~1 min RUNNING before disappearance)
  • Disappeared pod (retry-5): 36xpkdt2tumzxb (team account, ~7 min RUNNING)
  • Disappeared pod (retry-4): 87xq2h88dmg5j5 (team account, ~2 min RUNNING)
  • Prior orchestrator runs that filed the same blocker: f86281ce-da03-4f60-871a-a8723393c758 (after retry-4), and the planner run that immediately preceded retry-6 (after retry-5)

The operator must advance this experiment manually per the plan's R5 escalation rule before any further auto-recovery is allowed. Four consecutive same-mode failures after the rule was first invoked is overwhelming evidence that auto-recovery cannot resolve this.

Events

8:21:13 AMstartedagent
kind=experiment
8:21:31 AMassistant_textagent
I'll diagnose this auto-recovery request. The transcript shows a pod was successfully deployed (`njchq12a6ytcft`, H100 80GB SXM after A100 supply constraints), ran for ~1.5 hours, and then the failure message says "Pod not found in account=team". Let me investigate before redispatching.
8:21:33 AMtool_calltools

tool=Bash

Bash
8:21:34 AMtool_resulttools
{
  "id": null,
  "number": null,
  "title": null,
  "status": null,
  "runpodAccount": null,
  "computeSize": null
}
8:21:38 AMtool_calltools

tool=Bash

Bash
8:21:38 AMtool_resulttools
{"experiment":{"id":"0c120ea3-746a-43e6-a760-e6112f8cb649","number":363,"legacyGhNumber":363,"beliefId":null,"projectId":null,"title":"Implement Chen et al. persona-vector extraction recipe and compare to project's centroid-difference recipe","body":"## Context\n\nThis project's \"persona vectors\" are not persona vectors in the Chen et al. ([arXiv:2507.21509](https://arxiv.org/abs/2507.21509)) sense. The two recipes differ on every methodological choice:\n\n| | Project (`extract_persona_vectors` / `extract_centroids`) | Chen et al. persona vectors |\n|---|---|---|\n| Object | Per-persona **location** in activation space | Per-trait **direction** in activation space |\n| Input | One system prompt per persona | 5 positive + 5 negative paired prompts per trait |\n| Token position | Last **prompt** token (before generation) | Average over **response** tokens (per their ablation) |\n| Filtering | None | Filter rollouts by GPT-4.1-mini judge score (>50 / <50) |\n| Math | Average across questions per persona | Mean difference μ_pos − μ_neg across filtered responses |\n| Layer choice | Fixed at L20 (in `scripts/run_trait_transfer.py`) | Selected by steering effectiveness |\n\nWhen the project does treat centroids as directions, it's by taking a difference like `persona_centroid − assistant_centroid` (e.g., [#267](https://github.com/superkaiba/explore-persona-space/issues/267)'s \"centroid steering\"). The Chen et al. equivalent for the same trait — e.g. \"evil\" — would be the mean difference between rollouts under their 5 positive evil prompts (judge > 50) and their 5 negative evil prompts (judge < 50), averaged over response tokens.\n\n**Open question.** Do these two recipes produce directions that are close to each other? [#216](https://github.com/superkaiba/explore-persona-space/issues/216) already found that **different extraction recipes disagree on absolute direction in Qwen2.5-7B-Instruct but recover the same relative cluster map across all 28 layers** (Hcurl: (23) Failure writing output to destination
8:21:43 AMtool_calltools

tool=Bash

Bash
8:21:44 AMtool_resulttools
id: 0c120ea3-746a-43e6-a760-e6112f8cb649
number: 363
status: running
runpodAccount: team
computeSize: small
8:21:50 AMtool_calltools

tool=Bash

Bash
8:21:50 AMtool_resulttools
Exit code 1
Traceback (most recent call last):
  File "<string>", line 3, in <module>
  File "/usr/lib/python3.10/json/__init__.py", line 293, in load
    return loads(fp.read(),
  File "/usr/lib/python3.10/json/__init__.py", line 346, in loads
    return _default_decoder.decode(s)
  File "/usr/lib/python3.10/json/decoder.py", line 337, in decode
    obj, end = self.raw_decode(s, idx=_w(s, 0).end())
  File "/usr/lib/python3.10/json/decoder.py", line 355, in raw_decode
    raise JSONDecodeError("Expecting value", s, err.value) from None
json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
8:21:53 AMtool_calltools

tool=Bash

Bash
8:21:53 AMtool_resulttools
<!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 newsr
8:21:57 AMtool_calltools

tool=Glob

Glob
8:21:58 AMtool_resulttools
No files found
8:22:01 AMtool_calltools

tool=Bash

Bash
8:22:01 AMtool_resulttools
find: ‘/home/thomasjiralerspong/sagan/apps/web/src/app/api’: No such file or directory
8:22:06 AMtool_calltools

tool=Bash

Bash
8:22:06 AMtool_resulttools
/home/thomasjiralerspong/sagan/apps/web/.next/dev/server/app/api
/home/thomasjiralerspong/sagan/apps/web/.next/server/app/api
/home/thomasjiralerspong/sagan/apps/web/app/api
8:22:10 AMtool_calltools

tool=Bash

Bash
8:22:10 AMtool_resulttools
/home/thomasjiralerspong/sagan/apps/web/app/api/agent-runs
/home/thomasjiralerspong/sagan/apps/web/app/api/agent-runs/[id]
/home/thomasjiralerspong/sagan/apps/web/app/api/agent-runs/[id]/approve
/home/thomasjiralerspong/sagan/apps/web/app/api/agent-runs/[id]/runpod
/home/thomasjiralerspong/sagan/apps/web/app/api/agent-runs/[id]/runpod/stop
/home/thomasjiralerspong/sagan/apps/web/app/api/agent-runs/[id]/codex-review
/home/thomasjiralerspong/sagan/apps/web/app/api/agent-runs/[id]/retry
/home/thomasjiralerspong/sagan/apps/web/app/api/agent-runs/[id]/events
/home/thomasjiralerspong/sagan/apps/web/app/api/agent-runs/[id]/launch-pod
/home/thomasjiralerspong/sagan/apps/web/app/api/agent-runs/[id]/reject
/home/thomasjiralerspong/sagan/apps/web/app/api/runpods
/home/thomasjiralerspong/sagan/apps/web/app/api/runpods/progress
/home/thomasjiralerspong/sagan/apps/web/app/api/runpods/active
/home/thomasjiralerspong/sagan/apps/web/app/api/runs
/home/thomasjiralerspong/sagan/apps/web/app/api/runs/[id]
/home/thomasjiralerspong/sagan/apps/web/app/api/lit-review/run
/home/thomasjiralerspong/sagan/apps/web/app/api/weekly-digest/run
/home/thomasjiralerspong/sagan/apps/web/app/api/job-runs
/home/thomasjiralerspong/sagan/apps/web/app/api/job-runs/[id]
/home/thomasjiralerspong/sagan/apps/web/app/api/experiments
/home/thomasjiralerspong/sagan/apps/web/app/api/experiments/[id]
/home/thomasjiralerspong/sagan/apps/web/app/api/experiments/[id]/promote
/home/thomasjiralerspong/sagan/apps/web/app/api/experiments/[id]/dispatch-planner
/home/thomasjiralerspong/sagan/apps/web/app/api/experiments/[id]/clarification-answers
/home/thomasjiralerspong/sagan/apps/web/app/api/experiments/[id]/workflow-events
/home/thomasjiralerspong/sagan/apps/web/app/api/experiments/[id]/improve
/home/thomasjiralerspong/sagan/apps/web/app/api/experiments/[id]/queue-followups
/home/thomasjiralerspong/sagan/apps/web/app/api/experiments/by-number
/home/thomasjiralerspong/sagan/apps/web/app/api/experiments/by-number/[n]
8:22:12 AMtool_calltools

tool=ToolSearch

ToolSearch
8:22:12 AMtool_resulttools
8:22:39 AMassistant_textagent
I need to clarify the situation. The system prompt I received is for **experiment plan drafting** (with explicit "Do not launch experiment compute or RunPods. Do not edit files."), but the user request is for **pod-provisioner recovery dispatch** for an already-approved-and-running experiment (#363, status=running, planJson present). These are different roles routed to the same harness.

Before concluding a blocker, let me verify the actual state of the missing pod and check whether the experiment really needs another dispatch.
8:22:41 AMtool_calltools

tool=Bash

Bash
8:22:41 AMtool_resulttools
{"pods":[{"id":"3b4bc74e-2a42-4623-8afd-66aae98f9f4d","podId":"kqf00jpl7nkb3q","account":"team","name":"lang-inv-symmetry-333","status":"blocked","desiredStatus":"RUNNING","gpuTypeId":"NVIDIA H100 80GB HBM3","gpuCount":1,"costPerHr":2.99,"adjustedCostPerHr":2.99,"uptimeSeconds":6,"agentRunId":"807199c0-ab9b-4992-9da3-926d4ecd625a","experimentId":"3283d57a-7845-4fb7-945c-6e654f7000dd","experimentMarker":"#333","experimentTitle":"Test FR↔IT bystander-spill symmetry at multi-seed + 5 phrasings — pooled-rate vs per-phrasing asymmetry from #239 fact-check","experimentEstimatedRemainingMinutes":null,"experimentEstimatedRemainingUpdatedAt":"2026-05-14T08:22:40.790Z","experimentEstimatedRemainingSource":"pod","experimentEstimatedRemainingMessage":"experiment exited with code 1","experimentProgressPct":0,"createdAt":"2026-05-14T00:06:08.806Z","updatedAt":"2026-05-14T08:22:40.671Z","lastCheckedAt":"2026-05-14T00:14:12.918Z","lastStartedAt":"2026-05-14T00:06:08.022Z","href":"/agent/807199c0-ab9b-4992-9da3-926d4ecd625a"},{"id":"f775823f-0b60-41fa-8f9a-86acf79ac647","podId":"be565kq7x4sybb","account":"team","name":"exp192-persona-spread","status":"blocked","desiredStatus":"RUNNING","gpuTypeId":"NVIDIA H100 80GB HBM3","gpuCount":1,"costPerHr":2.99,"adjustedCostPerHr":2.99,"uptimeSeconds":9,"agentRunId":"63c22514-1043-4787-8cfe-206b17267cf4","experimentId":"b50b82c2-eefe-4d8a-924f-9ac776084b97","experimentMarker":"#192","experimentTitle":"Can capability be taught through another persona?","experimentEstimatedRemainingMinutes":300,"experimentEstimatedRemainingUpdatedAt":"2026-05-14T08:20:17.021Z","experimentEstimatedRemainingSource":"pod","experimentEstimatedRemainingMessage":"experiment completed","experimentProgressPct":100,"createdAt":"2026-05-13T23:58:33.634Z","updatedAt":"2026-05-14T08:22:13.040Z","lastCheckedAt":"2026-05-14T08:22:13.040Z","lastStartedAt":"2026-05-13T23:58:33.194Z","href":"/agent/63c22514-1043-4787-8cfe-206b17267cf4"},{"id":"55e2ba3b-1926-4ef2-b921-cf8f18b14390","podId":"njchq12a6ytcft","account":"team","name":"chen-vs-centroid-eps-363","status":"blocked","desiredStatus":"RUNNING","gpuTypeId":"NVIDIA H100 80GB HBM3","gpuCount":1,"costPerHr":2.99,"adjustedCostPerHr":2.99,"uptimeSeconds":-4,"agentRunId":"d66f8ef0-2db8-4a23-b647-a58b680f9e98","experimentId":"0c120ea3-746a-43e6-a760-e6112f8cb649","experimentMarker":"#363","experimentTitle":"Implement Chen et al. persona-vector extraction recipe and compare to project's centroid-difference recipe","experimentEstimatedRemainingMinutes":null,"experimentEstimatedRemainingUpdatedAt":null,"experimentEstimatedRemainingSource":null,"experimentEstimatedRemainingMessage":null,"experimentProgressPct":null,"createdAt":"2026-05-14T00:01:18.815Z","updatedAt":"2026-05-14T08:21:13.024Z","lastCheckedAt":"2026-05-14T08:21:13.024Z","lastStartedAt":"2026-05-14T00:01:18.069Z","href":"/agent/d66f8ef0-2db8-4a23-b647-a58b680f9e98"}],"accounts":[{"account":"personal","label":"Personal","email":"thomasjiralerspong@g
8:22:48 AMassistant_textagent
The pod `njchq12a6ytcft` is registered in Sagan with `account=team` but is now in "blocked" state with `uptimeSeconds=-4`. Two other pods in the same team account are also "blocked" — this looks like an account/credential-level issue, not just one experiment's bad luck. Let me confirm by looking at more recent events.
8:22:51 AMtool_calltools

tool=Bash

Bash
8:24:51 AMtool_resulttools
Command running in background with ID: bfjx7nu2d. Output is being written to: /tmp/claude-1001/-home-thomasjiralerspong-sagan/86f86cdb-4d25-49a7-b3a4-4a69515bcde6/tasks/bfjx7nu2d.output. You will be notified when it completes. To check interim output, use Read on that file path.
8:24:54 AMtool_calltools

tool=Bash

Bash
8:24:57 AMtool_resulttools
(Bash completed with no output)
8:25:00 AMtool_calltools

tool=Bash

Bash
8:25:00 AMtool_resulttools
event: event
data: {"id":"4c21657b-a6e4-4883-8af9-994c6e64820e","runId":"d66f8ef0-2db8-4a23-b647-a58b680f9e98","eventType":"pod_provisioner_attempt","body":"gpu=A100 80GBx1 cloud=ALL account=team","metadata":{"spec":{"env":{"HF_TOKEN":"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","GITHUB_TOKEN":"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","WANDB_API_KEY":"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","OPENAI_API_KEY":"sk-proj-r_fjgjy2oUEqPHOIYvUZmz3ZLPhoBCzCFtMK
8:25:07 AMassistant_textagent
The events endpoint streams SSE (and the spec payload contains secret tokens — I'll avoid printing those). Let me extract recent event types only.
8:25:08 AMtool_calltools

tool=Bash

Bash
8:25:08 AMtool_resulttools
    497 "eventType":"runpod_status"
    120 "eventType":"runpod_blocked"
      4 "eventType":"pod_provisioner_attempt"
      3 "eventType":"pod_substitution"
      3 "eventType":"pod_provisioner_attempt_failed"
      2 "eventType":"runpod_retry"
      1 "eventType":"deploy_pod_started"
      1 "eventType":"deploy_completed"
      1 "eventType":"auto_recovery_queued"
8:25:11 AMtool_calltools

tool=Bash

Bash
8:25:11 AMtool_resulttools
{"id":"f185e47b-bd4c-4604-8779-9e3a24f35cc7","runId":"d66f8ef0-2db8-4a23-b647-a58b680f9e98","eventType":"runpod_blocked","body":"Pod njchq12a6ytcft not found in account=team"
{"id":"f185e47b-bd4c-4604-8779-9e3a24f35cc7","runId":"d66f8ef0-2db8-4a23-b647-a58b680f9e98","eventType":"runpod_blocked","body":"Pod njchq12a6ytcft not found in account=team"
{"id":"f185e47b-bd4c-4604-8779-9e3a24f35cc7","runId":"d66f8ef0-2db8-4a23-b647-a58b680f9e98","eventType":"runpod_blocked","body":"Pod njchq12a6ytcft not found in account=team"
8:25:15 AMtool_calltools

tool=Bash

Bash
8:25:15 AMtool_resulttools
{"id":"eaccd0e0-240a-4268-80cd-b0cc49eee5fc","runId":"d66f8ef0-2db8-4a23-b647-a58b680f9e98","eventType":"auto_recovery_queued","body":"06287fcc-5901-46ee-a437-a96db8d59fb5"
8:25:40 AMassistant_textagent
I have enough to file a concise blocker. The situation:

## Diagnosis

**This is the wrong agent for the task.** The harness routed a pod-provisioner recovery dispatch into the experiment-planner system prompt, which explicitly forbids launching RunPods or editing files. Experiment #363 is already past planning (status=`running`, full `planJson` present, GPU SKU revision baked in).

**The underlying failure is not per-experiment.** Pod `njchq12a6ytcft` (H100 80GB SXM, team account) deployed cleanly at 2026-05-14T00:01:18Z and reported `RUNNING` for ~88 minutes. Then the runner's RunPod lookup started returning `Pod njchq12a6ytcft not found in account=team` and that lookup has been failing in a tight loop (120 `runpod_blocked` events for this run alone). Critically, the same symptom is hitting **other team-account pods at the same time**: per `/api/runpods/active`, pods for #333 (`kqf00jpl7nkb3q`) and #192 (`be565kq7x4sybb`) are also `blocked` with `desiredStatus=RUNNING` against the team account, and #363's pod shows `uptimeSeconds=-4` — a clock/scope artifact, not a clean termination.

This pattern — multiple unrelated team-account pods losing visibility simultaneously after running fine — is consistent with a RunPod team-account credential/scope issue (token rotated, team membership glitched, or RunPod-side account scoping bug), not a per-pod dispatch failure.

**Re-dispatching would not help and could be wasteful.** A fresh dispatch on the team account is very likely to land the same lookup-blocked state. The original pod may also still be alive and burning $2.99/hr while we provision a duplicate.

## Blocker

Cannot safely fix from this role. Two issues need a human:

1. **Confirm whether pod `njchq12a6ytcft` is actually alive** on RunPod (and stop it if so before dispatching a replacement). Check directly in the RunPod web console under the *team* account, or run `runpodctl get pod njchq12a6ytcft` from a machine logged into the team account. If it's gone, also check team-account auth health — three unrelated team-account pods went `not found` together, which points at the account credential the runner uses (e.g. `RUNPOD_API_KEY_TEAM` or whatever the runner reads for `account=team`).

2. **Decide the next step for #363** once (1) is answered:
   - If the pod is dead and the team credential is fine → rerun the pod-provisioner recovery (orchestrator can re-queue run `06287fcc-5901-46ee-a437-a96db8d59fb5` against the correct agent, not the planner).
   - If the team credential is the root cause → fix the credential first; #333, #192, and #363 will all recover together.
   - If the pod is still alive → reattach the runner to it (no new dispatch) so the existing ~1.5h of work isn't thrown away.

No files edited, no RunPods launched, no plan rewritten (existing `planJson` already encodes the H100-PCIe-primary / A100-SXM-fallback recovery decision and remains valid).

<<<DONE>>>
8:25:41 AMsdk_resultagent
success
8:25:41 AMawaiting_clarificationsagent
Claude produced clarifying questions instead of a full plan.

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