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experiment-orchestrator-for:c82dd718-6d42-45fe-9f49-d4af841a1fd0 Drive experiment 0c120ea3-746a-43e6-a760-e6112f8cb649 from approved plan through awaiting_promotion. Sub-agents are loaded from .claude/agents/.

Statuscompleted113 events · latest 1342h 33m ago

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

8:11:35 PMstartedagent
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8:12:07 PMtool_calltools

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/bin/bash: line 4: python: command not found
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usage: sagan_state.py [-h] [--base-url BASE_URL] [--token TOKEN]
                      [--timeout TIMEOUT]
                      {list,view,status,patch,marker,markers,promote,launch-pod,clean-result}
                      ...
sagan_state.py: error: argument command: invalid choice: 'show' (choose from 'list', 'view', 'status', 'patch', 'marker', 'markers', 'promote', 'launch-pod', 'clean-result')
8:12:24 PMtool_calltools

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<persisted-output>
Output too large (91.8KB). Full output saved to: /home/thomasjiralerspong/.claude/projects/-home-thomasjiralerspong-sagan/1443bafd-4f0e-42db-8b87-b656add00e4c/tool-results/bpsx9j968.txt

Preview (first 2KB):
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      "id": "1405fa98-b142-48c4-9216-04536c81167a",
      "kind": "experiment_plan",
      "metadata": null,
      "rejectedState": "planning",
      "requestedBy": "660cff98-a4cc-4b4f-9afc-334516773855",
      "requestedState": "plan_pending",
      "resolvedAt": "2026-05-13T13:01:04.880Z",
      "resolvedBy": "660cff98-a4cc-4b4f-9afc-334516773855",
      "resolvedNote": "Re-used existing plan after moving to queued.",
      "status": "approved",
      "title": "Approve experiment plan: Implement Chen et al. persona-vector extraction recipe and compare to project's centroid-difference recipe",
      "updatedAt": "2026-05-13T13:01:04.880Z"
    },
    {
      "agentRunId": "a1f04a02-f418-461b-904c-0b05d29528d1",
      "approvedState": "approved",
...
</persisted-output>
8:12:34 PMtool_calltools

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Exit code 1
Traceback (most recent call last):
  File "<string>", line 1, 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 353, in raw_decode
    obj, end = self.scan_once(s, idx)
json.decoder.JSONDecodeError: Expecting property name enclosed in double quotes: line 301 column 1 (char 94004)
8:12:38 PMtool_calltools

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usage: sagan_state.py [-h] [--base-url BASE_URL] [--token TOKEN]
                      [--timeout TIMEOUT]
                      {list,view,status,patch,marker,markers,promote,launch-pod,clean-result}
                      ...
sagan_state.py: error: unrecognized arguments: --json
0 /tmp/exp363.json
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<persisted-output>
Output too large (77.3KB). Full output saved to: /home/thomasjiralerspong/.claude/projects/-home-thomasjiralerspong-sagan/1443bafd-4f0e-42db-8b87-b656add00e4c/tool-results/bk0wcxtqv.txt

Preview (first 2KB):
{
  "approvalRequests": [
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      "approvedState": "approved",
      "bodyMd": null,
      "createdAt": "2026-05-13T11:52:37.020Z",
      "entityId": "0c120ea3-746a-43e6-a760-e6112f8cb649",
      "entityKind": "experiment",
      "experimentId": "0c120ea3-746a-43e6-a760-e6112f8cb649",
      "id": "1405fa98-b142-48c4-9216-04536c81167a",
      "kind": "experiment_plan",
      "metadata": null,
      "rejectedState": "planning",
      "requestedBy": "660cff98-a4cc-4b4f-9afc-334516773855",
      "requestedState": "plan_pending",
      "resolvedAt": "2026-05-13T13:01:04.880Z",
      "resolvedBy": "660cff98-a4cc-4b4f-9afc-334516773855",
      "resolvedNote": "Re-used existing plan after moving to queued.",
      "status": "approved",
      "title": "Approve experiment plan: Implement Chen et al. persona-vector extraction recipe and compare to project's centroid-difference recipe",
      "updatedAt": "2026-05-13T13:01:04.880Z"
    },
    {
      "agentRunId": "a1f04a02-f418-461b-904c-0b05d29528d1",
      "approvedState": "approved",
...
</persisted-output>
8:12:45 PMassistant_textagent
I'll acknowledge the MCP instructions and proceed. Let me work with the saved file to extract key details.
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size: 79193
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status: approved
number: 363
id: 0c120ea3-746a-43e6-a760-e6112f8cb649
parent: None
---podSpec keys---
  cloudType
  config
  containerDiskGb
  dockerArgs
  env
  estimatedMinutes
  gpuCount
  gpuType
  name
  volumeGb
env: ['ANTHROPIC_API_KEY']
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{
  "cloudType": "ALL",
  "config": {
    "artifacts": [
      "outputs/chen_vectors/<trait>.pt",
      "outputs/centroid_vectors/<trait>.pt",
      "outputs/ablation_centroid_on_prompt/<trait>.pt",
      "outputs/generations/<trait>/{positive,negative}.jsonl",
      "outputs/steering_sweep/<trait>/<recipe>.jsonl",
      "outputs/rubric_scores.csv",
      "outputs/random_baseline.json",
      "outputs/summary.json",
      "outputs/clean_result.html",
      "outputs/run.log"
    ],
    "command": "Clone EPS @ issue-363 (4685c57), uv sync, run scripts/run_chen_vs_centroid.py for 5 traits x 5 layers on Qwen2.5-7B-Instruct comparing Chen-recipe vs centroid-recipe persona vectors. 14h hard timeout for A100 (1.7x H100). Rubric judge via Anthropic API."
  },
  "containerDiskGb": 100,
  "dockerArgs": "bash -lc 'set -euo pipefail; cd /workspace && pip install -U uv && git clone --depth 1 --branch issue-363 https://github.com/superkaiba/explore-persona-space.git eps && cd eps && uv sync && mkdir -p outputs && curl -sS -X POST \"$SAGAN_PROGRESS_URL\" -H \"authorization: Bearer $SAGAN_POD_PROGRESS_TOKEN\" -H \"content-type: application/json\" -d \"{\\\"estimatedRemainingMinutes\\\":540,\\\"progressPct\\\":5,\\\"message\\\":\\\"env ready, starting extraction\\\"}\" ; (timeout 50400 uv run python scripts/run_chen_vs_centroid.py --model Qwen/Qwen2.5-7B-Instruct --traits sycophancy,deception,refusal-tendency,hostility,helpfulness --layers 10,13,16,20,24 --prompts-per-trait 200 --alpha-grid -2,-1,-0.5,0,0.5,1,2 --output-dir outputs/ --rubric claude-sonnet --calibration-split 25 --report-split 25 2>&1 | tee outputs/run.log) ; curl -sS -X POST \"$SAGAN_PROGRESS_URL\" -H \"authorization: Bearer $SAGAN_POD_PROGRESS_TOKEN\" -H \"content-type: application/json\" -d \"{\\\"progressPct\\\":100,\\\"message\\\":\\\"done\\\"}\"'",
  "env": {
    "ANTHROPIC_API_KEY": "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"
  },
  "estimatedMinutes": 540,
  "gpuCount": 1,
  "gpuType": "A100 80GB",
  "name": "chen-vs-centroid-eps-363",
  "volumeGb": 100
}
8:13:02 PMtool_calltools

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substitutionPolicy: null
---
---fields available---
['assigneeKind', 'autoApprovePlan', 'beliefId', 'body', 'computeSize', 'configYaml', 'createdAt', 'hasCleanResult', 'hypothesis', 'id', 'kind', 'legacyGhNumber', 'number', 'parentExperimentId', 'planJson', 'planMd', 'podSpec', 'priority', 'projectId', 'runpodAccount', 'status', 'tags', 'title', 'turn', 'updatedAt']
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total 1484
drwxrwxr-x 30 thomasjiralerspong thomasjiralerspong    4096 May 13 18:33 .
drwxr-x--- 42 thomasjiralerspong thomasjiralerspong    4096 May 13 20:12 ..
drwxrwxr-x  2 thomasjiralerspong thomasjiralerspong    4096 May  3 21:12 .arxiv-papers
drwxrwxr-x  9 thomasjiralerspong thomasjiralerspong    4096 May 13 10:05 .claude
-rw-rw-r--  1 thomasjiralerspong thomasjiralerspong     873 May 12 19:27 .env
drwxrwxr-x 12 thomasjiralerspong thomasjiralerspong    4096 May 13 20:12 .git
drwxrwxr-x  4 thomasjiralerspong thomasjiralerspong    4096 May  7 23:00 .github
-rw-rw-r--  1 thomasjiralerspong thomasjiralerspong    1482 May 10 23:19 .gitignore
-rw-rw-r--  1 thomasjiralerspong thomasjiralerspong       0 Apr 20 13:40 .gitmodules
-rw-rw-r--  1 thomasjiralerspong thomasjiralerspong     149 May  8 06:53 .mcp.json
drwxrwxr-x  2 thomasjiralerspong thomasjiralerspong    4096 May  6 11:51 .playwright-mcp
-rw-rw-r--  1 thomasjiralerspong thomasjiralerspong    1501 May 12 01:15 .pre-commit-config.yaml
drwxrwxr-x  3 thomasjiralerspong thomasjiralerspong    4096 Apr 11 01:00 .pytest_cache
drwxrwxr-x  3 thomasjiralerspong thomasjiralerspong    4096 Apr  8 19:04 .ruff_cache
drwxrwxr-x  5 thomasjiralerspong thomasjiralerspong    4096 Apr  7 21:28 .venv
-rw-rw-r--  1 thomasjiralerspong thomasjiralerspong   46861 May 13 09:58 CLAUDE.md
-rw-rw-r--  1 thomasjiralerspong thomasjiralerspong    6310 Apr  7 20:49 PROMPTS.md
-rw-rw-r--  1 thomasjiralerspong thomasjiralerspong    5583 Apr 16 09:29 README.md
-rw-rw-r--  1 thomasjiralerspong thomasjiralerspong   73131 May  6 01:14 RESULTS.md
8:13:14 PMtool_calltools

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On branch main
Your branch is up to date with 'origin/main'.

nothing to commit, working tree clean
---
main
125e78f8 Add TrainLoraConfig.backend flag scaffold for Unsloth adoption
a4652b62 Route EPS workflow state through Sagan
4129f88d Add Sagan pod progress reporting guidance
d0db2db7 Complete Sagan workflow migration
3c307bd7 WIP catch-up: agent memory, agent-spec edits, external/* updates, experiment results, scripts
Shell cwd was reset to /home/thomasjiralerspong/sagan
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  agents-emit-html
  aim4-axis-origins-figure
  aim6-truthification-em
  bright-valley
  cleanup/redundancy-consolidation
  drop-batch-analysis-kinds
* exp-192-persona-spread
  fix/issue-140-figure-paths
  fix/issue-45-simple-evaluate
  gentle-mountain
  issue-100
  issue-101
+ issue-102
  issue-104
  issue-108
+ issue-112
+ issue-125
+ issue-127
+ issue-138
+ issue-139
+ issue-140
+ issue-150
+ issue-156
+ issue-157
  issue-157-analyzer
+ issue-162
+ issue-170
+ issue-172
+ issue-176
+ issue-181
---
4685c5745b0fb9f0c025d813b7ed9827305c9473	refs/heads/issue-363
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From https://github.com/superkaiba/explore-persona-space
 * branch              issue-363  -> FETCH_HEAD
4685c574 issue #363 v2: address review findings (cal/rep dedupe, alpha*||v||, real position ablation, single hook target, NLL chat template, rubric 0-1)
b8344b3b issue #363: Chen et al. persona-vector extraction recipe + centroid baseline
a4652b62 Route EPS workflow state through Sagan
4129f88d Add Sagan pod progress reporting guidance
d0db2db7 Complete Sagan workflow migration
3c307bd7 WIP catch-up: agent memory, agent-spec edits, external/* updates, experiment results, scripts
22d1913c Sagan-migration audit: port four GitHub-writing scripts + skills to Sagan API; normalize status enum to snake_case
475b4fa5 verify_sagan_card.py + Sagan-card lenses on clean-result-critic ensemble
08872cf1 Clean-result promotion: source experiment row becomes the clean-result in place
eeb67f6f Pin transformers<5 on main + add preflight guard against vllm/transformers skew
---
100644 blob 7cf8e17426831d9e0f0137ea3823b6ea48860991	scripts/extract_centroids_and_analyze.py
100644 blob 25605a224e4ecd997d3630b7bb97d8eb76c4ef32	scripts/plot_issue_156_hero.py
100644 blob b1db585e892102363ffaeacc2f89f434dfa3f679	scripts/plot_issue_213_final.py
100644 blob 6f0f66685804097856a2f5e36d984d8d693c2692	scripts/run_chen_vs_centroid.py
100644 blob 8c4e3c900338f3efb8493853931527b8a363363a	scripts/run_issue_203.py
100644 blob 929b93638d1184e08802381f7203ae04d4eb899a	scripts/run_midtrain_matrix.py
100644 blob c628bf61ce7fb5964b7ea8687d7595eee90970ff	scripts/verify_chen_vs_centroid.py
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usage: sagan_state.py marker [-h] [--event-type EVENT_TYPE]
                             [--from-status FROM_STATUS]
                             [--to-status TO_STATUS] [--note NOTE]
                             [--metadata-json METADATA_JSON]
                             [--actor-kind ACTOR_KIND]
                             [--review-pair {code_review,interpretation,clean_result}]
                             [--round ROUND] [--reviewer REVIEWER]
                             [--verdict {pass,needs_targeted_fix,blocked_needs_user_decision,fail_not_worth_continuing}]
                             [--required-fix REQUIRED_FIX]
                             [--reconciler-decision RECONCILER_DECISION]
                             [--next-status {approved,archived,awaiting_approval,awaiting_promotion,blocked,cancelled,clarifying,clean_result_drafting,code_reviewing,completed,done_experiment,done_impl,failed,followups_running,gate_pending,implementing,interpreting,plan_pending,planning,proposed,queued,reviewing,running,shared,testing,uploading,verifying}]
                             number marker
sagan_state.py marker: error: the following arguments are required: marker
8:13:38 PMtool_calltools

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

positional arguments:
  number
  marker

options:
  -h, --help            show this help message and exit
  --event-type EVENT_TYPE
  --from-status FROM_STATUS
  --to-status TO_STATUS
  --note NOTE
  --metadata-json METADATA_JSON
  --actor-kind ACTOR_KIND
  --review-pair {code_review,interpretation,clean_result}
  --round ROUND
  --reviewer REVIEWER
  --verdict {pass,needs_targeted_fix,blocked_needs_user_decision,fail_not_worth_continuing}
  --required-fix REQUIRED_FIX
  --reconciler-decision RECONCILER_DECISION
  --next-status {approved,archived,awaiting_approval,awaiting_promotion,blocked,cancelled,clarifying,clean_result_drafting,code_reviewing,completed,done_experiment,done_impl,failed,followups_running,gate_pending,implementing,interpreting,plan_pending,planning,proposed,queued,reviewing,running,shared,testing,uploading,verifying}
8:13:44 PMtool_calltools

tool=Bash

Bash
8:13:45 PMtool_resulttools
count: 0
8:13:49 PMtool_calltools

tool=Bash

Bash
8:13:53 PMtool_resulttools
keys: ['approvalRequests', 'events', 'experiment']
8:13:56 PMtool_calltools

tool=Bash

Bash
8:13:57 PMtool_resulttools
event count: 50
2026-05-13T18:16:56 |  | implementing -> code_reviewing | Auto-recovery: advancing to code_reviewing to record prior review verdicts on co
2026-05-13T18:16:50 |  | None -> None | Auto-recovery dispatch by orchestrator 973d3ea8. Plan revision changed only the 
2026-05-13T18:13:09 |  | approved -> implementing | Orchestrator 973d3ea8 queued to implement and dispatch.
2026-05-13T18:13:09 |  | planning -> approved | Auto-approved follow-up plan (experiment.auto_approve_plan=true).
2026-05-13T18:11:31 |  | blocked -> planning | Automatic recovery queued after agent run 6d921623 failed.
2026-05-13T18:11:31 |  | done_impl -> blocked | spec[0]: GraphQL errors: [{"message":"There are no longer any instances availabl
2026-05-13T18:11:26 |  | cancelled -> done_impl | Recovery: runner orphan-cleanup stopped pod m097jjzqd333k4 at 18:08:34 (owner ag
2026-05-13T18:08:35 |  | running -> cancelled | RunPod pod stopped; volume preserved.
2026-05-13T18:04:56 |  | None -> None | Forwarding code-review pair's reported test outcome (Step 4 of .claude/agents/co
2026-05-13T18:04:47 |  | None -> None | Orchestrator b4ee8f69 taking over from stale predecessor e1baedab. Prior stages 
2026-05-13T17:58:48 |  | implementing -> running | RunPod pod is running.
2026-05-13T17:58:39 |  | approved -> implementing | Orchestrator b4ee8f69 queued to implement and dispatch.
2026-05-13T17:58:39 |  | running -> approved | Auto-approved follow-up plan (experiment.auto_approve_plan=true).
2026-05-13T17:50:11 |  | blocked -> running | Unblocked: resuming with current plan.
2026-05-13T16:28:10 |  | running -> blocked | Cascaded from agent_run e1baedab stale
2026-05-13T14:22:41 |  | None -> None | Orchestrator 0e8dde1a confirming state. Previous orchestrator e1baedab drove imp
2026-05-13T14:18:12 |  | implementing -> running | RunPod pod is running.
2026-05-13T14:17:57 |  | None -> None | Orchestrator checkpoint — experiment 363 advanced from approved plan to RunPod r
2026-05-13T14:17:17 |  | approved -> implementing | Orchestrator 0e8dde1a queued to implement and dispatch.
2026-05-13T14:17:16 |  | running -> approved | Auto-approved follow-up plan (experiment.auto_approve_plan=true).
2026-05-13T14:17:12 |  | queued -> running | RunPod pod is running.
2026-05-13T14:16:55 |  | done_impl -> queued | RunPod pod dispatched; waiting for runtime.
2026-05-13T14:16:53 |  | blocked -> done_impl | Restoring done_impl for A100 retry.
2026-05-13T14:16:45 |  | None -> None | RunPod still reports no H100 capacity in either SECURE or COMMUNITY (two consecu
2026-05-13T14:16:06 |  | done_impl -> blocked | spec[0]: GraphQL errors: [{"message":"There are no longer any instances availabl
2026-05-13T14:16:00 |  | planning -> done_impl | Restoring done_impl after auto-rollback from RunPod capacity error; will retry d
2026-05-13T14:15:56 |  | None -> None | Pod dispatch returned RunPod capacity error for H100 SECURE; experiment auto-rol
2026-05-13T14:15:15 |  | blocked -> planning | Automatic recovery queued after agent run e1baedab failed.
2026-05-13T14:15:14 |  | done_impl -> blocked | spec[0]: GraphQL errors: [{"message":"There are no longer any instances availabl
2026-05-13T14:14:38 |  | code_reviewing -> done_impl | Code review pair (round 2) verdict pass; reconciler agrees. Branch issue-363 @ 4
2026-05-13T14:14:28 |  | None -> None | Round 2: Claude and Codex code-reviewers both verdict PASS. All six round-1 find
2026-05-13T14:12:19 |  | None -> None | All 6 round-1 findings concretely fixed. (1) TRAIT_PROBE_POOL widened to 265 uni
2026-05-13T14:11:33 |  | None -> None | All 6 round-1 findings addressed cleanly. (1) TRAIT_PROBE_POOL=265 unique; _buil
2026-05-13T14:09:38 |  | None -> None | ## Implementation Report - round 2

**Status:** READY-FOR-REVIEW

### (a) What w
2026-05-13T14:00:19 |  | None -> None | Reconcile round 1: both reviewers agree on needs_targeted_fix. Findings are disj
2026-05-13T13:59:35 |  | None -> None | Code is well-structured, ruff-clean, --dry-run…
8:14:03 PMtool_calltools

tool=Bash

Bash
8:14:04 PMtool_resulttools
current status: approved
id: 0c120ea3-746a-43e6-a760-e6112f8cb649
updatedAt: 2026-05-13T20:11:35.441Z
8:14:08 PMtool_calltools

tool=Bash

Bash
8:14:09 PMtool_resulttools
TOTAL: 50
2026-05-13T20:11:35 | state_changed |  | implementing -> approved | Re-used existing plan after moving to running.
2026-05-13T20:11:35 | state_changed |  | running -> implementing | Orchestrator 7ffeb83c queued to implement and dispatch.
2026-05-13T20:11:34 | state_changed |  | plan_pending -> running | Moved on Pipeline board to running.
2026-05-13T18:19:31 | state_changed |  | blocked -> plan_pending | Owner: cancel in-flight runs and put #363 back into awaiting-approval lane so dr
2026-05-13T18:17:34 | blocked |  | done_impl -> blocked | spec[0]: GraphQL errors: [{"message":"There are no longer any instances availabl
2026-05-13T18:17:28 | state_changed |  | code_reviewing -> done_impl | Code-review pair PASS (round 2, both reviewers) on issue-363 @ 4685c574; tests P
2026-05-13T18:17:23 | note |  | None -> None | Tests carry-forward from code-review pair Step 4 on commit 4685c574 (ruff check 
2026-05-13T18:17:17 | note |  | None -> None | Reconciliation for code-review round 2 on commit 4685c574: both Claude and Codex
2026-05-13T18:17:11 | note |  | None -> None | Carrying forward Codex code-reviewer verdict on commit 4685c574 (issue-363 v2): 
2026-05-13T18:17:05 | note |  | None -> None | Carrying forward Claude code-reviewer verdict on commit 4685c574 (issue-363 v2).
2026-05-13T18:16:56 | state_changed |  | implementing -> code_reviewing | Auto-recovery: advancing to code_reviewing to record prior review verdicts on co
2026-05-13T18:16:50 | note |  | None -> None | Auto-recovery dispatch by orchestrator 973d3ea8. Plan revision changed only the 
2026-05-13T18:13:09 | state_changed |  | approved -> implementing | Orchestrator 973d3ea8 queued to implement and dispatch.
2026-05-13T18:13:09 | state_changed |  | planning -> approved | Auto-approved follow-up plan (experiment.auto_approve_plan=true).
2026-05-13T18:11:31 | state_changed |  | blocked -> planning | Automatic recovery queued after agent run 6d921623 failed.
2026-05-13T18:11:31 | blocked |  | done_impl -> blocked | spec[0]: GraphQL errors: [{"message":"There are no longer any instances availabl
2026-05-13T18:11:26 | state_changed |  | cancelled -> done_impl | Recovery: runner orphan-cleanup stopped pod m097jjzqd333k4 at 18:08:34 (owner ag
2026-05-13T18:08:35 | state_changed |  | running -> cancelled | RunPod pod stopped; volume preserved.
2026-05-13T18:04:56 | note |  | None -> None | Forwarding code-review pair's reported test outcome (Step 4 of .claude/agents/co
2026-05-13T18:04:47 | note |  | None -> None | Orchestrator b4ee8f69 taking over from stale predecessor e1baedab. Prior stages
8:14:38 PMassistant_textagent
Let me check current status and the substitution policy in plan, then proceed through workflow with carry-forward markers for the already-completed implementation/review stages.
8:14:40 PMtool_calltools

tool=Bash

Bash
8:14:40 PMtool_resulttools
100644 blob 94e487867f9629e4a825453adb15cc7be5658267	src/explore_persona_space/axis/__init__.py
100644 blob 735c682bdfef6a6346fb680bffce2ed734e31236	src/explore_persona_space/axis/analyze.py
100644 blob 604e42ff33c0e0722a43f5370326443d4578cf8b	src/explore_persona_space/axis/chen_extract.py
100644 blob 3c4be3dd6f901b8dd5c66dd8727f5d97dcddbb4e	src/explore_persona_space/axis/project.py
100644 blob d22b47b5b6544ba82994536c9ab3f36ae72d2e1b	src/explore_persona_space/axis/trait_personas.py
---
4685c574 issue #363 v2: address review findings (cal/rep dedupe, alpha*||v||, real position ablation, single hook target, NLL chat template, rubric 0-1)
b8344b3b issue #363: Chen et al. persona-vector extraction recipe + centroid baseline
---
#!/usr/bin/env python3
"""Run Chen-style persona-vector extraction vs the project's centroid recipe.

Experiment: Sagan #363
    Implement Chen et al. persona-vector extraction recipe and compare it
    head-to-head against the project's centroid-difference recipe on five
    target traits, sweeping a layer set and an alpha-grid, then scoring steered
    completions with the existing Claude rubric judge.

This script is the single pod-side entrypoint named in the runpod-spec block of
the experiment plan. It runs sequentially through:

    1. Load probe prompts and trait persona pairs.
    2. CHEN extraction:
        - Generate paired pos/neg completions with vLLM (greedy, max=128).
        - Forward-pass under HF with hooks; mean over completion tokens only.
        - Save per-trait (n_layers, d_model) tensor to outputs/chen_vectors/.
    3. CENTROID extraction (re-implemented inline against the same probes):
        - For every probe, run two HF forward passes - one with the trait+
          system prompt, one with the trait- system prompt - and capture the
          hidden state at the LAST input token. Difference-of-means across
          probes gives the centroid persona vector.
        - Save per-trait (n_layers, d_model) tensor to outputs/centroid_vectors/.
    4. CENTROID-ON-PROMPT ABLATION (position-confound control, L20 only):
        - Re-use Chen's paired completions exactly, do the same second forward
          pass, but mean over PROMPT-token positions (everything BEFORE the
          assistant turn) instead of completion-token positions. Differs from
          Chen in exactly one variable: the span of positions averaged. Saved
          to outputs/ablation_centroid_on_prompt/<trait>.pt.
    5. RANDOM-DIRECTION BASELINE at L20:
Shell cwd was reset to /home/thomasjiralerspong/sagan
8:14:57 PMassistant_textagent
Good - the implementation work is already done (branch `issue-363` @ 4685c574 has `scripts/run_chen_vs_centroid.py` and supporting code in `src/explore_persona_space/axis/`). Code review already passed (round 2, both reviewers) and tests passed. This is a recovery dispatch after RunPod capacity errors.

Let me proceed: transition to `implementing` with carry-forward marker, then through code_reviewing and testing (carry-forward), then run pod-provisioner.
8:14:59 PMtool_calltools

tool=Bash

Bash
8:15:01 PMtool_resulttools
{
  "experiment": {
    "id": "0c120ea3-746a-43e6-a760-e6112f8cb649",
    "status": "implementing",
    "title": "Implement Chen et al. persona-vector extraction recipe and compare to project's centroid-difference recipe",
    "turn": "Sagan turn: run and verify"
  },
  "ok": true
}
8:15:07 PMtool_calltools

tool=Bash

Bash
8:15:09 PMtool_resulttools
{
  "id": "d9cc0a60-0837-4e5c-913e-76cd0d1dd54a",
  "ok": true
}
8:15:12 PMtool_calltools

tool=Bash

Bash
8:15:14 PMtool_resulttools
{
  "experiment": {
    "id": "0c120ea3-746a-43e6-a760-e6112f8cb649",
    "status": "code_reviewing",
    "title": "Implement Chen et al. persona-vector extraction recipe and compare to project's centroid-difference recipe",
    "turn": "Sagan turn: run and verify"
  },
  "ok": true
}
8:15:18 PMtool_calltools

tool=Bash

Bash
8:15:19 PMtool_resulttools
{
  "id": "f435c86b-29c2-4b0a-bd6b-82b169d4beec",
  "ok": true
}
8:15:24 PMtool_calltools

tool=Bash

Bash
8:15:26 PMtool_resulttools
{
  "id": "aaa00d13-dd17-4f50-b462-60ddbece849a",
  "ok": true
}
8:15:29 PMtool_calltools

tool=Bash

Bash
8:15:31 PMtool_resulttools
{
  "id": "07728e77-7fc4-49e8-b925-0eeaa77b887e",
  "ok": true
}
8:15:35 PMtool_calltools

tool=Bash

Bash
8:15:37 PMtool_resulttools
{
  "id": "5c51da90-6a73-4657-a6a1-c91d87ee60a4",
  "ok": true
}
8:15:41 PMassistant_textagent
Now I'll prepare for the running stage: splice SAGAN_EPS_BRANCH and SAGAN_EPS_COMMIT_SHA into the podSpec env, then transition to running and dispatch pod-provisioner.
8:15:48 PMtool_calltools

tool=Bash

Bash
8:15:50 PMtool_resulttools
BASE: https://sagan.superkaiba.com
current env keys: []
gpuType: None cloudType: None
PATCH ok: True
new env keys: []
8:15:56 PMtool_calltools

tool=Bash

Bash
8:15:57 PMtool_resulttools
top-level keys: ['experiment', 'events', 'approvalRequests']
{
  "experiment": "dict",
  "events": "list",
  "approvalRequests": "list"
}
experiment.podSpec: {
  "env": {
    "SAGAN_EPS_BRANCH": "issue-363",
    "SAGAN_EPS_COMMIT_SHA": "4685c5745b0fb9f0c025d813b7ed9827305c9473"
  }
}
8:16:03 PMassistant_textagent
I accidentally overwrote the podSpec. Let me restore it from the plan and properly splice the env vars.
8:16:21 PMtool_calltools

tool=Bash

Bash
8:16:22 PMtool_resulttools
PATCH ok
verify podSpec keys: ['env', 'name', 'config', 'gpuType', 'gpuCount', 'volumeGb', 'cloudType', 'dockerArgs', 'containerDiskGb', 'estimatedMinutes']
  gpuType: A100 80GB
  cloudType: ALL
  env keys: ['SAGAN_EPS_BRANCH', 'ANTHROPIC_API_KEY', 'SAGAN_EPS_COMMIT_SHA']
  dockerArgs length: 983
8:16:25 PMassistant_textagent
PodSpec is restored with branch/commit spliced into env. Now transition to `running` and dispatch via pod-provisioner.
8:16:28 PMtool_calltools

tool=Bash

Bash
8:16:29 PMtool_resulttools
{
  "experiment": {
    "id": "0c120ea3-746a-43e6-a760-e6112f8cb649",
    "status": "running",
    "title": "Implement Chen et al. persona-vector extraction recipe and compare to project's centroid-difference recipe",
    "turn": "Sagan turn: run and verify"
  },
  "ok": true
}
8:16:32 PMassistant_textagent
Now spawn the pod-provisioner to dispatch.
8:16:50 PMtool_calltools

tool=Agent

Agent
8:16:54 PMtool_calltools

tool=Bash

Bash
8:16:55 PMtool_resulttools
(Bash completed with no output)
8:16:57 PMtool_calltools

tool=Bash

Bash
8:16:58 PMtool_resulttools
<persisted-output>
Output too large (185.5KB). Full output saved to: /home/thomasjiralerspong/.claude/projects/-home-thomasjiralerspong-sagan/1443bafd-4f0e-42db-8b87-b656add00e4c/tool-results/b6mxp97am.txt

Preview (first 2KB):
{
  "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 c
...
</persisted-output>
8:17:06 PMtool_calltools

tool=Bash

Bash
8:17:07 PMtool_resulttools
null
8:17:12 PMtool_calltools

tool=Bash

Bash
8:17:14 PMtool_resulttools
Keys: ['id', 'number', 'legacyGhNumber', 'beliefId', 'projectId', 'title', 'body', 'hypothesis', 'planMd', 'planJson', 'podSpec', 'configYaml', 'status', 'kind', 'computeSize', 'priority', 'assigneeKind', 'tags', 'hasCleanResult', 'autoApprovePlan', 'parentExperimentId', 'runpodAccount', 'createdAt', 'updatedAt', 'turn']
8:17:17 PMtool_calltools

tool=Bash

Bash
8:17:18 PMtool_resulttools
{
  "env": {
    "SAGAN_EPS_BRANCH": "issue-363",
    "ANTHROPIC_API_KEY": "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",
    "SAGAN_EPS_COMMIT_SHA": "4685c5745b0fb9f0c025d813b7ed9827305c9473"
  },
  "name": "chen-vs-centroid-eps-363",
  "config": {
    "command": "Clone EPS @ issue-363 (4685c57), uv sync, run scripts/run_chen_vs_centroid.py for 5 traits x 5 layers on Qwen2.5-7B-Instruct comparing Chen-recipe vs centroid-recipe persona vectors. 14h hard timeout for A100 (1.7x H100). Rubric judge via Anthropic API.",
    "artifacts": [
      "outputs/chen_vectors/<trait>.pt",
      "outputs/centroid_vectors/<trait>.pt",
      "outputs/ablation_centroid_on_prompt/<trait>.pt",
      "outputs/generations/<trait>/{positive,negative}.jsonl",
      "outputs/steering_sweep/<trait>/<recipe>.jsonl",
      "outputs/rubric_scores.csv",
      "outputs/random_baseline.json",
      "outputs/summary.json",
      "outputs/clean_result.html",
      "outputs/run.log"
    ]
  },
  "gpuType": "A100 80GB",
  "gpuCount": 1,
  "volumeGb": 100,
  "cloudType": "ALL",
  "dockerArgs": "bash -lc 'set -euo pipefail; cd /workspace && pip install -U uv && git clone --depth 1 --branch issue-363 https://github.com/superkaiba/explore-persona-space.git eps && cd eps && uv sync && mkdir -p outputs && curl -sS -X POST \"$SAGAN_PROGRESS_URL\" -H \"authorization: Bearer $SAGAN_POD_PROGRESS_TOKEN\" -H \"content-type: application/json\" -d \"{\\\"estimatedRemainingMinutes\\\":540,\\\"progressPct\\\":5,\\\"message\\\":\\\"env ready, starting extraction\\\"}\" ; (timeout 50400 uv run python scripts/run_chen_vs_centroid.py --model Qwen/Qwen2.5-7B-Instruct --traits sycophancy,deception,refusal-tendency,hostility,helpfulness --layers 10,13,16,20,24 --prompts-per-trait 200 --alpha-grid -2,-1,-0.5,0,0.5,1,2 --output-dir outputs/ --rubric claude-sonnet --calibration-split 25 --report-split 25 2>&1 | tee outputs/run.log) ; curl -sS -X POST \"$SAGAN_PROGRESS_URL\" -H \"authorization: Bearer $SAGAN_POD_PROGRESS_TOKEN\" -H \"content-type: application/json\" -d \"{\\\"progressPct\\\":100,\\\"message\\\":\\\"done\\\"}\"'",
  "containerDiskGb": 100,
  "estimatedMinutes": 540
}
8:17:29 PMtool_calltools

tool=Bash

Bash
8:17:29 PMtool_resulttools
{
  "name": "chen-vs-centroid-eps-363",
  "gpuType": "A100 80GB",
  "gpuCount": 1,
  "cloudType": "SECURE",
  "volumeGb": 100,
  "containerDiskGb": 100,
  "dockerArgs": "bash -lc 'set -euo pipefail; cd /workspace && pip install -U uv && git clone --depth 1 --branch issue-363 https://github.com/superkaiba/explore-persona-space.git eps && cd eps && uv sync && mkdir -p outputs && curl -sS -X POST \"$SAGAN_PROGRESS_URL\" -H \"authorization: Bearer $SAGAN_POD_PROGRESS_TOKEN\" -H \"content-type: application/json\" -d \"{\\\"estimatedRemainingMinutes\\\":540,\\\"progressPct\\\":5,\\\"message\\\":\\\"env ready, starting extraction\\\"}\" ; (timeout 50400 uv run python scripts/run_chen_vs_centroid.py --model Qwen/Qwen2.5-7B-Instruct --traits sycophancy,deception,refusal-tendency,hostility,helpfulness --layers 10,13,16,20,24 --prompts-per-trait 200 --alpha-grid -2,-1,-0.5,0,0.5,1,2 --output-dir outputs/ --rubric claude-sonnet --calibration-split 25 --report-split 25 2>&1 | tee outputs/run.log) ; curl -sS -X POST \"$SAGAN_PROGRESS_URL\" -H \"authorization: Bearer $SAGAN_POD_PROGRESS_TOKEN\" -H \"content-type: application/json\" -d \"{\\\"progressPct\\\":100,\\\"message\\\":\\\"done\\\"}\"'",
  "env": {
    "SAGAN_EPS_BRANCH": "issue-363",
    "ANTHROPIC_API_KEY": "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",
    "SAGAN_EPS_COMMIT_SHA": "4685c5745b0fb9f0c025d813b7ed9827305c9473"
  },
  "config": {
    "command": "Clone EPS @ issue-363 (4685c57), uv sync, run scripts/run_chen_vs_centroid.py for 5 traits x 5 layers on Qwen2.5-7B-Instruct comparing Chen-recipe vs centroid-recipe persona vectors. 14h hard timeout for A100 (1.7x H100). Rubric judge via Anthropic API.",
    "artifacts": [
      "outputs/chen_vectors/<trait>.pt",
      "outputs/centroid_vectors/<trait>.pt",
      "outputs/ablation_centroid_on_prompt/<trait>.pt",
      "outputs/generations/<trait>/{positive,negative}.jsonl",
      "outputs/steering_sweep/<trait>/<recipe>.jsonl",
      "outputs/rubric_scores.csv",
      "outputs/random_baseline.json",
      "outputs/summary.json",
      "outputs/clean_result.html",
      "outputs/run.log"
    ]
  }
}
spec_preview_ok
8:17:42 PMtool_calltools

tool=Bash

Bash
8:17:48 PMtool_resulttools
Attempting rung 1: A100 80GB, SECURE, team account...
exit_code=0

> @sagan/runner@0.0.0 pod-tool /home/thomasjiralerspong/sagan/services/runner
> tsx scripts/pod-tool.ts "attempt" "--agent-run-id" "c82dd718-6d42-45fe-9f49-d4af841a1fd0" "--run-index" "0" "--spec-json" "{\"name\":\"chen-vs-centroid-eps-363\",\"gpuType\":\"A100 80GB\",\"gpuCount\":1,\"cloudType\":\"SECURE\",\"volumeGb\":100,\"containerDiskGb\":100,\"dockerArgs\":\"bash -lc 'set -euo pipefail; cd /workspace && pip install -U uv && git clone --depth 1 --branch issue-363 https://github.com/superkaiba/explore-persona-space.git eps && cd eps && uv sync && mkdir -p outputs && curl -sS -X POST \\\"$SAGAN_PROGRESS_URL\\\" -H \\\"authorization: Bearer $SAGAN_POD_PROGRESS_TOKEN\\\" -H \\\"content-type: application/json\\\" -d \\\"{\\\\\\\"estimatedRemainingMinutes\\\\\\\":540,\\\\\\\"progressPct\\\\\\\":5,\\\\\\\"message\\\\\\\":\\\\\\\"env ready, starting extraction\\\\\\\"}\\\" ; (timeout 50400 uv run python scripts/run_chen_vs_centroid.py --model Qwen/Qwen2.5-7B-Instruct --traits sycophancy,deception,refusal-tendency,hostility,helpfulness --layers 10,13,16,20,24 --prompts-per-trait 200 --alpha-grid -2,-1,-0.5,0,0.5,1,2 --output-dir outputs/ --rubric claude-sonnet --calibration-split 25 --report-split 25 2>&1 | tee outputs/run.log) ; curl -sS -X POST \\\"$SAGAN_PROGRESS_URL\\\" -H \\\"authorization: Bearer $SAGAN_POD_PROGRESS_TOKEN\\\" -H \\\"content-type: application/json\\\" -d \\\"{\\\\\\\"progressPct\\\\\\\":100,\\\\\\\"message\\\\\\\":\\\\\\\"done\\\\\\\"}\\\"'\",\"env\":{\"SAGAN_EPS_BRANCH\":\"issue-363\",\"ANTHROPIC_API_KEY\":\"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\",\"SAGAN_EPS_COMMIT_SHA\":\"4685c5745b0fb9f0c025d813b7ed9827305c9473\"},\"config\":{\"command\":\"Clone EPS @ issue-363 (4685c57), uv sync, run scripts/run_chen_vs_centroid.py for 5 traits x 5 layers on Qwen2.5-7B-Instruct comparing Chen-recipe vs centroid-recipe persona vectors. 14h hard timeout for A100 (1.7x H100). Rubric judge via Anthropic API.\",\"artifacts\":[\"outputs/chen_vectors/<trait>.pt\",\"outputs/centroid_vectors/<trait>.pt\",\"outputs/ablation_centroid_on_prompt/<trait>.pt\",\"outputs/generations/<trait>/{positive,negative}.jsonl\",\"outputs/steering_sweep/<trait>/<recipe>.jsonl\",\"outputs/rubric_scores.csv\",\"outputs/random_baseline.json\",\"outputs/summary.json\",\"outputs/clean_result.html\",\"outputs/run.log\"]}}" "--account" "team"

{"ok":false,"error":{"code":"SUPPLY_CONSTRAINT","message":"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\"}}]","suggested_dimensions":["consolidate_pods","cloudType","dataCenterId","gpuType","account"]}}
8:18:02 PMtool_calltools

tool=Bash

Bash
8:18:06 PMtool_resulttools
Attempting rung 2: A100 80GB, COMMUNITY, team account...
exit_code=0

> @sagan/runner@0.0.0 pod-tool /home/thomasjiralerspong/sagan/services/runner
> tsx scripts/pod-tool.ts "attempt" "--agent-run-id" "c82dd718-6d42-45fe-9f49-d4af841a1fd0" "--run-index" "0" "--spec-json" "{\"name\":\"chen-vs-centroid-eps-363\",\"gpuType\":\"A100 80GB\",\"gpuCount\":1,\"cloudType\":\"COMMUNITY\",\"volumeGb\":100,\"containerDiskGb\":100,\"dockerArgs\":\"bash -lc 'set -euo pipefail; cd /workspace && pip install -U uv && git clone --depth 1 --branch issue-363 https://github.com/superkaiba/explore-persona-space.git eps && cd eps && uv sync && mkdir -p outputs && curl -sS -X POST \\\"$SAGAN_PROGRESS_URL\\\" -H \\\"authorization: Bearer $SAGAN_POD_PROGRESS_TOKEN\\\" -H \\\"content-type: application/json\\\" -d \\\"{\\\\\\\"estimatedRemainingMinutes\\\\\\\":540,\\\\\\\"progressPct\\\\\\\":5,\\\\\\\"message\\\\\\\":\\\\\\\"env ready, starting extraction\\\\\\\"}\\\" ; (timeout 50400 uv run python scripts/run_chen_vs_centroid.py --model Qwen/Qwen2.5-7B-Instruct --traits sycophancy,deception,refusal-tendency,hostility,helpfulness --layers 10,13,16,20,24 --prompts-per-trait 200 --alpha-grid -2,-1,-0.5,0,0.5,1,2 --output-dir outputs/ --rubric claude-sonnet --calibration-split 25 --report-split 25 2>&1 | tee outputs/run.log) ; curl -sS -X POST \\\"$SAGAN_PROGRESS_URL\\\" -H \\\"authorization: Bearer $SAGAN_POD_PROGRESS_TOKEN\\\" -H \\\"content-type: application/json\\\" -d \\\"{\\\\\\\"progressPct\\\\\\\":100,\\\\\\\"message\\\\\\\":\\\\\\\"done\\\\\\\"}\\\"'\",\"env\":{\"SAGAN_EPS_BRANCH\":\"issue-363\",\"ANTHROPIC_API_KEY\":\"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\",\"SAGAN_EPS_COMMIT_SHA\":\"4685c5745b0fb9f0c025d813b7ed9827305c9473\"},\"config\":{\"command\":\"Clone EPS @ issue-363 (4685c57), uv sync, run scripts/run_chen_vs_centroid.py for 5 traits x 5 layers on Qwen2.5-7B-Instruct comparing Chen-recipe vs centroid-recipe persona vectors. 14h hard timeout for A100 (1.7x H100). Rubric judge via Anthropic API.\",\"artifacts\":[\"outputs/chen_vectors/<trait>.pt\",\"outputs/centroid_vectors/<trait>.pt\",\"outputs/ablation_centroid_on_prompt/<trait>.pt\",\"outputs/generations/<trait>/{positive,negative}.jsonl\",\"outputs/steering_sweep/<trait>/<recipe>.jsonl\",\"outputs/rubric_scores.csv\",\"outputs/random_baseline.json\",\"outputs/summary.json\",\"outputs/clean_result.html\",\"outputs/run.log\"]}}" "--account" "team"

{"ok":false,"error":{"code":"SUPPLY_CONSTRAINT","message":"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\"}}]","suggested_dimensions":["consolidate_pods","cloudType","dataCenterId","gpuType","account"]}}
8:18:20 PMtool_calltools

tool=Bash

Bash
8:18:23 PMtool_resulttools
Attempting rung 3a: A100-80GB (PCIe slug), SECURE, team account...
exit_code=0
{"ok":false,"error":{"code":"SUPPLY_CONSTRAINT","message":"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\"}}]","suggested_dimensions":["consolidate_pods","cloudType","dataCenterId","gpuType","account"]}}
8:18:33 PMtool_calltools

tool=Bash

Bash
8:18:37 PMtool_resulttools
Attempting rung 3b: A100-80GB (PCIe slug), COMMUNITY, team account...
exit_code=0
{"ok":false,"error":{"code":"SUPPLY_CONSTRAINT","message":"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\"}}]","suggested_dimensions":["consolidate_pods","cloudType","dataCenterId","gpuType","account"]}}
8:18:55 PMtool_calltools

tool=Bash

Bash
8:18:59 PMtool_resulttools
=== Trying gpuType='NVIDIA H100 PCIe', cloudType=SECURE ===
ok=True code=
SUCCESS: {"ok":true,"pod":{"podId":"v57xxy412px5mz","name":"chen-vs-centroid-eps-363","gpuTypeId":"NVIDIA H100 PCIe","gpuCount":1,"desiredStatus":"RUNNING","sshHost":null,"sshPort":null,"costPerHr":2.39,"adjustedCostPerHr":2.39},"podLifecycleId":"343545b0-9b7c-407c-ae4d-f8165d533f3b","sagaRunId":"e33bcd6e-4008-4868-9083-1d3a48b871d7","account":"team"}
done_h100_pcie_loop
8:19:06 PMtool_calltools

tool=Bash

Bash
8:19:09 PMtool_resulttools
{"ok":true}
8:19:12 PMtool_calltools

tool=Bash

Bash
8:19:15 PMtool_resulttools
Committing fleet...
exit_code=0
{"ok":true,"podIds":["v57xxy412px5mz"],"count":1}
8:19:20 PMtool_resulttools
Fleet committed successfully.

committed `v57xxy412px5mz` via A100 80GB SECURE (SUPPLY_CONSTRAINT) → A100 80GB COMMUNITY (SUPPLY_CONSTRAINT) → A100-80GB PCIe SECURE (SUPPLY_CONSTRAINT) → A100-80GB PCIe COMMUNITY (SUPPLY_CONSTRAINT) → **NVIDIA H100 PCIe SECURE (success)**

Pod details:
- Pod ID: `v57xxy412px5mz`
- GPU: NVIDIA H100 PCIe x1 (80GB VRAM, same class as the A100 80GB target)
- Cloud: SECURE
- Account: team
- Cost: $2.39/hr
- Pod lifecycle ID: `343545b0-9b7c-407c-ae4d-f8165d533f3b`

The H100 PCIe is a straight upgrade from the A100 80GB (same VRAM, ~40% faster compute), so the 50400s timeout is more than adequate. The substitution is recorded in the dashboard. Watcher has taken over.
agentId: aae658a3820834dec (use SendMessage with to: 'aae658a3820834dec' to continue this agent)
<usage>total_tokens: 67421
tool_uses: 13
duration_ms: 150761</usage>
8:19:32 PMassistant_textagent
Pod `v57xxy412px5mz` committed on H100 PCIe SECURE. Per the orchestrator contract, once the pod-provisioner returns `committed`, the runner's watcher transitions status from `running` through terminal stages automatically. Let me verify the dispatch landed cleanly and post a transition marker.
8:19:36 PMtool_calltools

tool=Bash

Bash
8:19:36 PMtool_resulttools
status: running
runpodPodId: None
updatedAt: 2026-05-13T20:19:03.976Z
---last events---
2026-05-13T20:19:03 | state_changed | queued -> running | RunPod pod is running.
2026-05-13T20:18:59 | state_changed | running -> queued | RunPod pod dispatched; waiting for runtime.
2026-05-13T20:16:29 | state_changed | code_reviewing -> running | Code-review pair PASS + tests PASS on issue-363 @ 4685c574. podSpec restored with SAGAN_EP
2026-05-13T20:15:37 | note | None -> None | Carry-forward: Step 4 of code-review pair confirmed tests on commit 4685c574 (issue-363 v2
2026-05-13T20:15:31 | note | None -> None | Carry-forward: code-review pair both verdict PASS in round 2 — reconciliation trivial, no 
2026-05-13T20:15:26 | note | None -> None | Carry-forward: Codex code-reviewer verdict PASS on commit 4685c574 (issue-363 v2). Codex's
2026-05-13T20:15:19 | note | None -> None | Carry-forward: Claude code-reviewer verdict PASS on commit 4685c574 (issue-363 v2). Round 
2026-05-13T20:15:13 | state_changed | implementing -> code_reviewing | Code-review pair already passed on this commit (4685c574). Re-recording the prior verdicts
8:19:40 PMassistant_textagent
Status is now `running`, RunPod pod is up. Let me post a single dispatch confirmation note (without forcing further status transitions — the runner's watcher will drive uploading/verifying/interpreting/reviewing as the pod produces output).
8:19:44 PMtool_calltools

tool=Bash

Bash
8:19:46 PMtool_resulttools
{
  "id": "4c52d271-8dca-4ce0-b49a-edc807a8632a",
  "ok": true
}
8:20:00 PMassistant_textagent
Workflow handoff complete. Summary of what this orchestrator session did for experiment #363:

**Walked stages 1–4 of the EPS /issue workflow:**

1. **implementing** — confirmed `issue-363` @ `4685c574` already pushed to origin with `scripts/run_chen_vs_centroid.py` and `src/explore_persona_space/axis/chen_extract.py` (+ helpers). Posted `epm:experiment-implementation` carry-forward marker.

2. **code_reviewing** — posted carry-forward markers for round-2 verdicts: `epm:code-review` (Claude: PASS) and `epm:code-review-codex` (Codex: PASS), plus `epm:review-reconcile` (trivial agreement). Round 1 raised 6 findings; v2 commit fixed all six.

3. **testing** — posted `epm:test-verdict` carry-forward (Step 4 of code-review pair: `ruff check` clean, `--dry-run` of the runner script succeeded).

4. **running** — restored the full podSpec (which had been accidentally truncated by an early PATCH) and spliced `SAGAN_EPS_BRANCH=issue-363` + `SAGAN_EPS_COMMIT_SHA=4685c574…` into `podSpec.env`. Transitioned `running`. Spawned `pod-provisioner`, which traversed the substitution ladder past five SUPPLY_CONSTRAINT misses and committed pod `v57xxy412px5mz` on **NVIDIA H100 PCIe SECURE** ($2.39/hr) — effectively an upgrade over the planner's A100 80GB primary. Posted `epm:dispatch` marker.

**Handoff:** The runner's watcher now owns transitions running → uploading → verifying → interpreting → followups_running/reviewing → clean_result_drafting → awaiting_promotion as the pod produces artifacts. Subsequent stages (uploader, upload-verifier, analyzer, interpretation-critic pair, follow-up-proposer, clean-result-critic pair) are dispatched by the runner when each prior stage completes — not by this session, since the experiment has a ~5–10 h wall-clock budget.

Dashboard link: https://sagan.superkaiba.com/e/experiment/0c120ea3-746a-43e6-a760-e6112f8cb649

<<<DONE>>>
8:20:00 PMsdk_resultagent
success
8:20:00 PMcompletedagent
Workflow handoff complete. Summary of what this orchestrator session did for experiment #363:

**Walked stages 1–4 of the EPS /issue workflow:**

1. **implementing** — confirmed `issue-363` @ `4685c574` already pushed to origin with `scripts/run_chen_vs_centroid.py` and `src/explore_persona_space/axis/chen_extract.py` (+ helpers). Posted `epm:experiment-implementation` carry-forward marker.

2. **code_reviewing** — posted carry-forward markers for round-2 verdicts: `epm:code-review` (Claude: PASS) and `epm:code-review-codex` (Codex: PASS), plus `epm:review-reconcile` (trivial agreement). Round 1 raised 6 findings; v2 commit fixed all six.

3. **testing** — posted `epm:test-verdict` carry-forward (Step 4 of code-review pair: `ruff check` clean, `--dry-run` of the runner script succeeded).

4. **running** — restored the full podSpec (which had been accidentally truncated by an early PATCH) and spliced `SAGAN_EPS_BRANCH=issue-363` + `SAGAN_EPS_COMMIT_SHA=4685c574…` into `podSpec.env`. Tra…

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