apply
Run b4ee8f69
experiment-orchestrator-for:6d921623-a404-4158-9d43-c0da9a1069d6 Drive experiment 0c120ea3-746a-43e6-a760-e6112f8cb649 from approved plan through awaiting_promotion. Sub-agents are loaded from .claude/agents/.
Statuscancelled146 events · latest 1344h 35m 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_ERRORonpodFindAndDeployOnDemand - retry-3:
Pod not found in account=teamafter ~14 min RUNNING - retry-4:
Pod not found in account=teamafter ~2 min RUNNING - retry-5:
Pod not found in account=teamafter ~7 min RUNNING - retry-6 (this run,
m1ayhl6nsbxw04):Pod not found in account=teamafter ~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
planJsonare 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
5:58:39 PMstartedagent
kind=apply
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tool=Bash
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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')5:59:02 PMtool_calltools
tool=Bash
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Traceback (most recent call last):
File "/home/thomasjiralerspong/sagan/scripts/sagan_state.py", line 356, in <module>
raise SystemExit(main())
File "/home/thomasjiralerspong/sagan/scripts/sagan_state.py", line 348, in main
args.func(args)
File "/home/thomasjiralerspong/sagan/scripts/sagan_state.py", line 160, in cmd_view
print_json(by_number(args, args.number))
File "/home/thomasjiralerspong/sagan/scripts/sagan_state.py", line 141, in by_number
return request(args, "GET", f"/api/experiments/by-number/{number}")
File "/home/thomasjiralerspong/sagan/scripts/sagan_state.py", line 94, in request
with urllib.request.urlopen(req, timeout=args.timeout) as res:
File "/usr/lib/python3.10/urllib/request.py", line 216, in urlopen
return opener.open(url, data, timeout)
File "/usr/lib/python3.10/urllib/request.py", line 519, in open
response = self._open(req, data)
File "/usr/lib/python3.10/urllib/request.py", line 536, in _open
result = self._call_chain(self.handle_open, protocol, protocol +
File "/usr/lib/python3.10/urllib/request.py", line 496, in _call_chain
result = func(*args)
File "/usr/lib/python3.10/urllib/request.py", line 1377, in http_open
return self.do_open(http.client.HTTPConnection, req)
File "/usr/lib/python3.10/urllib/request.py", line 1352, in do_open
r = h.getresponse()
File "/usr/lib/python3.10/http/client.py", line 1395, in getresponse
response.begin()
File "/usr/lib/python3.10/http/client.py", line 323, in begin
version, status, reason = self._read_status()
File "/usr/lib/python3.10/http/client.py", line 284, in _read_status
line = str(self.fp.readline(_MAXLINE + 1), "iso-8859-1")
File "/usr/lib/python3.10/socket.py", line 705, in readinto
return self._sock.recv_into(b)
TimeoutError: timed out5:59:34 PMtool_calltools
tool=Bash
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<persisted-output>
Output too large (87.6KB). Full output saved to: /home/thomasjiralerspong/.claude/projects/-home-thomasjiralerspong-sagan/58c669d1-b69a-4c23-ae28-924a26a1bf7f/tool-results/b97tjji2l.txt
Preview (first 2KB):
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"createdAt": "2026-05-13T11:52:37.020Z",
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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>5:59:38 PMtool_calltools
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usage: sagan_state.py status [-h] [--note NOTE]
number
{approved,archived,awaiting_approval,awaiting_promotion,blocked,cancelled,clarifying,code_reviewing,completed,done_experiment,done_impl,failed,followups_running,gate_pending,implementing,interpreting,plan_pending,planning,proposed,queued,reviewing,running,shared,testing,uploading,verifying}
sagan_state.py status: error: the following arguments are required: status5:59:41 PMtool_calltools
tool=Bash
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"experimentId": "0c120ea3-746a-43e6-a760-e6112f8cb649",
"id": "1405fa98-b142-48c4-9216-04536c81167a",
"status": "approved",
"experimentId": "0c120ea3-746a-43e6-a760-e6112f8cb649",
"id": "e4d260a3-a852-4893-b87c-71965517a4fc",
"status": "approved",
"experimentId": "0c120ea3-746a-43e6-a760-e6112f8cb649",
"id": "8922fdd9-16c8-48cf-a60d-54d5ed6a8002",
"status": "approved",
"id": "4edec711-6e6b-4d71-880d-329812880e66",5:59:44 PMtool_calltools
tool=Bash
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9: "entityKind": "experiment", 30: "entityKind": "experiment", 108: "entityKind": "experiment", 191: "entityKind": "experiment",
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tool=Bash
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20: "status": "approved", 98: "status": "approved", 180: "status": "approved",
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tool=Bash
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2: "approvalRequests": [ 185: "events": [
5:59:55 PMtool_calltools
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<persisted-output> Output too large (72.7KB). Full output saved to: /home/thomasjiralerspong/.claude/projects/-home-thomasjiralerspong-sagan/58c669d1-b69a-4c23-ae28-924a26a1bf7f/tool-results/bz2nd70y9.txt Preview (first 2KB): 2: "approvalRequests": [ 4: "agentRunId": null, 5: "approvedState": "approved", 6: "bodyMd": null, 7: "createdAt": "2026-05-13T11:52:37.020Z", 8: "entityId": "0c120ea3-746a-43e6-a760-e6112f8cb649", 9: "entityKind": "experiment", 10: "experimentId": "0c120ea3-746a-43e6-a760-e6112f8cb649", 11: "id": "1405fa98-b142-48c4-9216-04536c81167a", 12: "kind": "experiment_plan", 13: "metadata": null, 14: "rejectedState": "planning", 15: "requestedBy": "660cff98-a4cc-4b4f-9afc-334516773855", 16: "requestedState": "plan_pending", 17: "resolvedAt": "2026-05-13T13:01:04.880Z", 18: "resolvedBy": "660cff98-a4cc-4b4f-9afc-334516773855", 19: "resolvedNote": "Re-used existing plan after moving to queued.", 20: "status": "approved", 21: "title": "Approve experiment plan: Implement Chen et al. persona-vector extraction recipe and compare to project's centroid-difference recipe", 22: "updatedAt": "2026-05-13T13:01:04.880Z" 25: "agentRunId": "a1f04a02-f418-461b-904c-0b05d29528d1", 26: "approvedState": "approved", ... </persisted-output>
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tool=Bash
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200 /home/thomasjiralerspong/.claude/projects/-home-thomasjiralerspong-sagan/58c669d1-b69a-4c23-ae28-924a26a1bf7f/tool-results/b97tjji2l.txt
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tool=Read
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File content (37299 tokens) exceeds maximum allowed tokens (25000). Use offset and limit parameters to read specific portions of the file, or search for specific content instead of reading the whole file.
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{
"experiments": []
}6:00:07 PMtool_calltools
tool=Bash
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<persisted-output>
Output too large (106.8KB). Full output saved to: /home/thomasjiralerspong/.claude/projects/-home-thomasjiralerspong-sagan/58c669d1-b69a-4c23-ae28-924a26a1bf7f/tool-results/bgd91z822.txt
Preview (first 2KB):
{
"experiments": [
{
"assigneeKind": "agent",
"autoApprovePlan": false,
"beliefId": null,
"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 \u03bc_pos \u2212 \u03bc_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 \u2212 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 \u2014 e.g. \"evil\" \u2014 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** (HIGH). This experiment is the cleanest possible instance of #216's setup \u2014 comparing the project's
...
</persisted-output>6:00:11 PMtool_calltools
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16: "number": 363,
6:00:14 PMtool_calltools
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1 {
2 "experiments": [
3 {
4 "assigneeKind": "agent",
5 "autoApprovePlan": false,
6 "beliefId": null,
7 "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 \u03bc_pos \u2212 \u03bc_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 \u2212 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 \u2014 e.g. \"evil\" \u2014 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** (HIGH). This experiment is the cleanest possible instance of #216's setup \u2014 comparing the project's recipe head-to-head with the canonical Chen et al. recipe, both targeting the same trait.\n\nThis matters because several mentor-doc claims rest on Chen et al.'s evidence transferring to this project's setup. If the directions differ substantially, the citation chain (Chen et al. shows EM = motion along the evil persona vector; therefore EM = motion along the project's \"evil\" centroid-difference) breaks at the methodology step.\n\n## Experiment\n\nImplement Chen et al.'s recipe on Qwen2.5-7B-Instruct end to end, for the **evil** trait (canonical for the EM mechanism discussion), and compare the resulting direction to the project's centroid-difference recipe on the same model and same eval personas.\n\n### Steps\n\n1. **Artifact generation** (Claude 3.7 Sonnet, single API call per trait): produce 5 positive + 5 negative system prompts, 40 evaluation questions (20 extraction / 20 evaluation), and 1 judge rubric. Use the verbatim meta-prompt from Chen et al. appendix `appendix:pipeline`.\n2. **Rollout generation:** for each of the 20 extraction questions, generate 10 rollouts under each of the 5 positive prompts (50 positive rollouts per question) and 10 rollouts under each of the 5 negative prompts (50 negative rollouts per question). Total ~2,000 generations. vLLM batched, `T=1.0, top_p=0.95, max_new_tokens=512`.\n3. **Judge filtering:** score every rollout 0-100 via GPT-4.1-mini using the auto-generated rubric. Keep positive rollouts with score > 50 and negative rollouts with score < 50.\n4. **Direction extraction:** for each layer in [10, 15, 20, 25], extract residual stream activations averaged over response tokens. Persona vector = mean(filtered positive activations) \u2212 mean(filtered negative activations).\n5. **Project recipe (for comparison):** extract the project's centroid-difference direction for the same trait. Specifically: pick a persona system prompt corresponding to \"evil\" (e.g., `\"You are an evil assistant.\"`); extract centroid…6:00:20 PMtool_calltools
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105: "status": "running",
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90 "outputs/chen_vs_centroid/<run_id>/run.log"
91 ],
92 "command": "Clone EPS, install deps, run scripts/run_chen_vs_centroid.py for 5 traits \u00d7 5 layers on Qwen2.5-7B-Instruct comparing Chen-recipe vs centroid-recipe persona vectors, with 10h hard timeout and 30-min partial-artifact rsync."
93 },
94 "containerDiskGb": 100,
95 "dockerArgs": "bash -lc 'set -euo pipefail; cd /workspace && git clone https://github.com/superkaiba/explore-persona-space.git eps && cd eps && python -m venv .venv && . .venv/bin/activate && pip install -U pip && pip install -r requirements.txt && curl -sS -X POST \"$SAGAN_PROGRESS_URL\" -H \"authorization: Bearer $SAGAN_POD_PROGRESS_TOKEN\" -H \"content-type: application/json\" -d \"{\\\"estimatedRemainingMinutes\\\": 450, \\\"progressPct\\\": 5, \\\"message\\\": \\\"env ready, starting extraction\\\"}\" && (while sleep 1800; do rsync -az outputs/chen_vs_centroid/ \"$SAGAN_ARTIFACT_DEST/\" 2>/dev/null || true; done) & timeout 36000 python scripts/run_chen_vs_centroid.py --traits sycophancy,deception,refusal_tendency,hostility,helpfulness --layers 10,13,16,20,24 --primary-layer 20 --n-prompts 200 --calib-split 25 --report-split 25 --max-rubric-usd 30 --out outputs/chen_vs_centroid/$SAGAN_AGENT_RUN_ID && curl -sS -X POST \"$SAGAN_PROGRESS_URL\" -H \"authorization: Bearer $SAGAN_POD_PROGRESS_TOKEN\" -H \"content-type: application/json\" -d \"{\\\"progressPct\\\": 100, \\\"message\\\": \\\"done; artifacts in outputs/chen_vs_centroid/$SAGAN_AGENT_RUN_ID\\\"}\"'",
96 "estimatedMinutes": 480,
97 "gpuCount": 1,
98 "gpuType": "H100 PCIe",
99 "name": "chen-vs-centroid-eps-363",
100 "volumeGb": 100
101 },
102 "priority": "normal",
103 "projectId": null,
104 "runpodAccount": "team",
105 "status": "running",
106 "tags": [],
107 "title": "Implement Chen et al. persona-vector extraction recipe and compare to project's centroid-difference recipe",
108 "turn": "Sagan turn: run and verify",
109 "updatedAt": "2026-05-13T17:58:48.705Z"
110 },
111 {
112 "assigneeKind": "agent",
113 "autoApprovePlan": false,
114 "beliefId": null,
115 "body": "<style>\n.cr-298 { max-width: 760px; margin: 0 auto; line-height: 1.55; }\n.cr-298 h2 { font-size: 1.25rem; margin: 1.4rem 0 0.6rem; }\n.cr-298 .tldr ul { padding-left: 1.2rem; }\n.cr-298 .tldr li { margin: 0.35rem 0; }\n.cr-298 figure { margin: 1.2rem 0 0.6rem; }\n.cr-298 figcaption { font-size: 0.92rem; color: var(--muted, #555); margin-top: 0.4rem; }\n.cr-298 details { border: 1px solid var(--border, #ddd); border-radius: 8px; padding: 0.6rem 0.9rem; margin: 1rem 0; }\n.cr-298 details > summary { font-weight: 600; cursor: pointer; padding: 0.2rem 0; }\n.cr-298 details[open] > summary { margin-bottom: 0.6rem; }\n.cr-298 table { width: 100%; border-collapse: collapse; font-size: 0.92rem; }\n.cr-298 table th, .cr-298 table td { padding: 0.5rem 0.7rem; border-bottom: 1px solid var(--border, #e3e3e3); text-align: left; vertical-align: top; }\n.cr-298 table.primary th { background: var(--soft-bg, #f3f3f6); }\n.cr-298 table.primary tbody tr.keep td { background: rgba(60,140,80,0.06); }\n.cr-298 table.primary tbody tr.adopt td { background: rgba(40,90,180,0.06); }\n.cr-298 table.primary tbody tr.maybe td { background: rgba(220,170,40,0.06); }\n.cr-298 table.primary tbody tr.skip td { background: rgba(120,120,120,0.06); }\n.cr-298 table.setup th { background: var(--soft-bg, #f3f3f6); width: 30%; border-right: 1px solid var(--border, #e3e3e3); }\n.cr-298 table.sources td.dt { white-space: nowrap; font-variant-numeric: tabular-nums; color: var(--muted, #555); width: 6.5rem; }\n.cr-298 table.sources td.type { width: 7rem; color: var(--muted, #555); }\n.cr-298 code { background: var(--soft-bg, #f3f3f6); padding: 0.1rem 0.35rem; border-radius: 4px; font-size: 0.88em; }\n.cr-298 .pill { display: inline-block; font-…6:00:27 PMassistant_textagent
Experiment #363 is currently in status `running`. Let me check existing agent runs and pod status to understand where we are in the workflow.
6:00:28 PMtool_calltools
tool=Bash
Bash
6:00:29 PMtool_resulttools
usage: sagan_state.py marker [-h] [--event-type EVENT_TYPE]
[--from-status FROM_STATUS]
[--to-status TO_STATUS] [--note NOTE]
[--metadata-json METADATA_JSON]
[--actor-kind ACTOR_KIND]
[--review-pair {code_review,interpretation,clean_result}]
[--round ROUND] [--reviewer REVIEWER]
[--verdict {pass,needs_targeted_fix,blocked_needs_user_decision,fail_not_worth_continuing}]
[--required-fix REQUIRED_FIX]
[--reconciler-decision RECONCILER_DECISION]
[--next-status {approved,archived,awaiting_approval,awaiting_promotion,blocked,cancelled,clarifying,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: marker6:00:31 PMtool_calltools
tool=Bash
Bash
6:00:31 PMtool_resulttools
usage: sagan_state.py [-h] [--base-url BASE_URL] [--token TOKEN]
[--timeout TIMEOUT]
{list,view,status,patch,marker,markers,promote,launch-pod,clean-result}
...
sagan_state.py: error: the following arguments are required: command6:00:34 PMtool_calltools
tool=Bash
Bash
6:00:34 PMtool_resulttools
usage: sagan_state.py marker [-h] [--event-type EVENT_TYPE]
[--from-status FROM_STATUS]
[--to-status TO_STATUS] [--note NOTE]
[--metadata-json METADATA_JSON]
[--actor-kind ACTOR_KIND]
[--review-pair {code_review,interpretation,clean_result}]
[--round ROUND] [--reviewer REVIEWER]
[--verdict {pass,needs_targeted_fix,blocked_needs_user_decision,fail_not_worth_continuing}]
[--required-fix REQUIRED_FIX]
[--reconciler-decision RECONCILER_DECISION]
[--next-status {approved,archived,awaiting_approval,awaiting_promotion,blocked,cancelled,clarifying,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_TYPE6:00:40 PMtool_calltools
tool=Bash
Bash
6:00:40 PMtool_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 newsreader_4bcebf04-module__mRJj1G__variable"><head><meta charSet="utf-8"/><meta name="viewport" content="width=device-width, initial-scale=1, viewport-fit=cover"/><link rel="stylesheet" href="/_next/static/chunks/077y67un5gy30.css" data-precedence="next"/><link rel="preload" as="script" fetchPriority="low" href="/_next/static/chunks/03edqrb4zdj~g.js"/><script src="/_next/static/chunks/0i0b4ibyj497c.js" async=""></script><script src="/_next/static/chunks/0h69mj-e-ya89.js" async=""></script><script src="/_next/static/chunks/014~e0vao-h-9.js" async=""></script><script src="/_next/static/chunks/0pqt~8bl3ukh4.js" async=""></script><script src="/_next/static/chunks/turbopack-14pofyvch95c_.js" async=""></script><script src="/_next/static/chunks/01xlw8hd842-c.js" async=""></script><script src="/_next/static/chunks/0hs1bisaa29...js" async=""></script><meta name="robots" content="noindex"/><meta name="next-size-adjust" content=""/><title>404: This page could not be found.</title><meta name="theme-color" content="#ffffff" media="(prefers-color-scheme: light)"/><meta name="theme-color" content="#16172e" media="(prefers-color-scheme: dark)"/><title>Sagan</title><meta name="description" content="Personal research-life dashboard."/><link rel="manifest" href="/manifest.webmanifest"/><meta name="mobile-web-app-capable" content="yes"/><meta name="apple-mobile-web-app-title" content="Sagan"/><meta name="apple-mobile-web-app-status-bar-style" content="default"/><link rel="shortcut icon" href="/favicon.png"/><link rel="icon" href="/icon.svg" type="image/svg+xml"/><link rel="icon" href="/favicon.png" sizes="32x32" type="image/png"/><link rel="apple-touch-icon" href="/favicon.png" sizes="32x32"/><script>
(() => {
try {
const choice = window.localStorage.getItem('sagan-theme');
if (choice === 'light' || choice === 'dark') {
document.documentElement.dataset.theme = choice;
} else {
document.documentElement.removeAttribute('data-theme');
}
const font = window.localStorage.getItem('sagan-font');
if (font) {
document.documentElement.dataset.font = font;
}
} catch {}
})();
</script><script src="/_next/static/chunks/03~yq9q893hmn.js" noModule=""></script></head><body class="min-h-screen antialiased"><div hidden=""><!--$--><!--/$--></div><div style="font-family:system-ui,"Segoe UI",Roboto,Helvetica,Arial,sans-serif,"Apple Color Emoji","Segoe UI Emoji";height:100vh;text-align:center;display:flex;flex-direction:column;align-items:center;justify-content:center"><div><style>body{color:#000;background:#fff;margin:0}.next-error-h1{border-right:1px solid rgba(0,0,0,.3)}@media (prefers-color-scheme:dark){body{color:#fff;background:#000}.next-error-h1{border-right:1px solid rgba(255,255,255,.3)}}</style><h1 class="next-error-h1" style="display:inline-block;margin:0 20px 0 0;padding:0 23px 0 0;font-size:24px;font-weight:500;vertical-align:top;line-height:49px">404</h1><div style="display:inline-block"><h2 style="font-size:14px;font-weight:400;line-height:49px;margin:0">This page could not be found.</h2></div></div></div><!--$--><!--/$--><script src="/_next/static/chunks/03edqrb4zdj~g.js" id="_R_" async=""></script><script>(self.__next_f=self.__next_f||[]).push([0])</script><script>self.__next_f.push([1,"1:\"$Sreact.fragment\"\n2:I[39756,[\"/_next/static/chunks/01xlw8hd842-c.js\",\"/_next/static/chunks/0hs1bisaa29...js\"],\"default\"]\n3:I[37457,[\"/_next/static/chunks/01xlw8hd842-c.js\",\"/_next/static…6:00:43 PMassistant_textagent
The `events` endpoint doesn't exist. Let me look at the view output for events section, and look at the agent run for the parent run id to understand the current pod state.
6:00:46 PMtool_calltools
tool=Bash
Bash
6:00:47 PMtool_resulttools
4: "agentRunId": null, 25: "agentRunId": "a1f04a02-f418-461b-904c-0b05d29528d1", 103: "agentRunId": "f8c0ec5a-6010-43ed-a3aa-c845115d6014", 185: "events": [
6:00:49 PMtool_calltools
tool=Read
Read
6:00:50 PMtool_resulttools
180 "status": "approved",
181 "title": "Approve experiment plan: Implement Chen et al. persona-vector extraction recipe and compare to project's centroid-difference recipe",
182 "updatedAt": "2026-05-13T04:14:17.257Z"
183 }
184 ],
185 "events": [
186 {
187 "actorKind": "runner",
188 "actorUserId": null,
189 "createdAt": "2026-05-13T17:58:48.707Z",
190 "entityId": "0c120ea3-746a-43e6-a760-e6112f8cb649",
191 "entityKind": "experiment",
192 "eventType": "state_changed",
193 "fromStatus": "implementing",
194 "id": "4edec711-6e6b-4d71-880d-329812880e66",
195 "metadata": null,
196 "note": "RunPod pod is running.",
197 "toStatus": "running"
198 },
199 {6:00:52 PMtool_calltools
tool=Read
Read
6:00:52 PMtool_resulttools
199 {
200 "actorKind": "runner",6:00:56 PMtool_calltools
tool=Bash
Bash
6:00:56 PMtool_resulttools
2
6:00:59 PMtool_calltools
tool=Bash
Bash
6:00:59 PMtool_resulttools
{
"actorKind": "runner",6:01:02 PMassistant_textagent
The view was truncated. Let me get more details on what events have occurred and current agent run state.
6:01:04 PMtool_calltools
tool=Bash
Bash
6:01:05 PMtool_resulttools
{
"run": {
"id": "6d921623-a404-4158-9d43-c0da9a1069d6",
"kind": "experiment",
"provider": "claude_code",
"status": "completed",
"request": "[manual-retry-of:e1baedab-da61-4b4e-8355-f46936f0f788]\n\nThe previous Claude Code run ended without completing. Pick up where it left off \u2014 do not redo work that already finished cleanly.\n\nOriginal request:\n[plan-reused-from:a1f04a02-f418-461b-904c-0b05d29528d1]\n\nApproved an existing plan without re-drafting. Source agent_run preserved this experiment's plan_md before the owner moved the card to queued.\n\nPrevious failure reason:\nRunner marked this run stale after 15 minutes without an update.",
"planMd": null,
"planJson": null,
"approvalRequired": false,
"approvedBy": null,
"approvedAt": "2026-05-13T17:58:38.993Z",
"scopeEntityKind": "experiment",
"scopeEntityId": "0c120ea3-746a-43e6-a760-e6112f8cb649",
"chatSessionId": null,
"branchName": null,
"vercelDeploymentUrl": null,
"runpodAccount": "team",
"runpodPodId": null,
"runpodPodIds": null,
"runpodStatus": null,
"transcriptLogPath": null,
"changedFilesJson": null,
"lastError": null,
"startedAt": "2026-05-13T17:56:52.553Z",
"completedAt": "2026-05-13T17:58:39.028Z",
"createdAt": "2026-05-13T17:56:52.406Z",
"updatedAt": "2026-05-13T17:58:39.028Z"
},
"pods": [],
"artifacts": [],
"canManageRun": true
}6:01:11 PMtool_calltools
tool=Bash
Bash
6:01:11 PMtool_resulttools
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 355, in raw_decode
raise JSONDecodeError("Expecting value", s, err.value) from None
json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0)6:01:16 PMtool_calltools
tool=Bash
Bash
6:01:17 PMtool_resulttools
Total: 50
{"id": "b4ee8f69-77f7-4506-81a0-9c4ddddaf2e6", "kind": "apply", "status": "running", "branchName": null, "runpodPodId": null, "runpodPodIds": null, "runpodStatus": null, "lastError": null, "completedAt": null, "createdAt": "2026-05-13T17:58:39.023Z"}
{"id": "4c2bf5aa-2f15-4dc3-b6a2-b1bbe7ff5ee4", "kind": "qa", "status": "completed", "branchName": null, "runpodPodId": null, "runpodPodIds": null, "runpodStatus": null, "lastError": null, "completedAt": "2026-05-13T17:57:40.189Z", "createdAt": "2026-05-13T17:57:27.171Z"}
{"id": "f95d6c43-b724-4be7-a6b9-6e5067ef1e8b", "kind": "apply", "status": "running", "branchName": null, "runpodPodId": null, "runpodPodIds": null, "runpodStatus": null, "lastError": null, "completedAt": null, "createdAt": "2026-05-13T17:56:54.039Z"}
{"id": "6a9018ab-43e5-4fc7-bf7a-4b0976a34c69", "kind": "apply", "status": "running", "branchName": null, "runpodPodId": null, "runpodPodIds": null, "runpodStatus": null, "lastError": null, "completedAt": null, "createdAt": "2026-05-13T17:56:53.230Z"}
{"id": "6d921623-a404-4158-9d43-c0da9a1069d6", "kind": "experiment", "status": "completed", "branchName": null, "runpodPodId": null, "runpodPodIds": null, "runpodStatus": null, "lastError": null, "completedAt": "2026-05-13T17:58:39.028Z", "createdAt": "2026-05-13T17:56:52.406Z"}
{"id": "0e8dde1a-e931-4a9f-ad8e-556243fd5130", "kind": "apply", "status": "completed", "branchName": null, "runpodPodId": null, "runpodPodIds": null, "runpodStatus": null, "lastError": null, "completedAt": "2026-05-13T14:22:59.718Z", "createdAt": "2026-05-13T14:17:17.103Z"}
{"id": "09638c12-b64c-4849-9df3-56cd1c5bb738", "kind": "experiment", "status": "completed", "branchName": null, "runpodPodId": null, "runpodPodIds": null, "runpodStatus": null, "lastError": null, "completedAt": "2026-05-13T14:17:17.206Z", "createdAt": "2026-05-13T14:15:14.949Z"}
{"id": "dc6acaa2-5e65-4f59-a848-e43adb533829", "kind": "apply", "status": "completed", "branchName": null, "runpodPodId": null, "runpodPodIds": null, "runpodStatus": null, "lastError": null, "completedAt": "2026-05-13T13:46:50.331Z", "createdAt": "2026-05-13T13:33:40.290Z"}
{"id": "5ddcaa08-b9ab-4037-b04e-cc998552427e", "kind": "apply", "status": "completed", "branchName": null, "runpodPodId": null, "runpodPodIds": null, "runpodStatus": null, "lastError": null, "completedAt": "2026-05-13T13:33:34.244Z", "createdAt": "2026-05-13T13:26:24.935Z"}
{"id": "b04ab72f-68bf-42a7-9a3a-0b12cef5b366", "kind": "apply", "status": "completed", "branchName": null, "runpodPodId": null, "runpodPodIds": null, "runpodStatus": null, "lastError": null, "completedAt": "2026-05-13T14:19:05.647Z", "createdAt": "2026-05-13T13:26:23.498Z"}
{"id": "b85431d8-3186-4a36-bd75-e83db881e61f", "kind": "apply", "status": "completed", "branchName": null, "runpodPodId": null, "runpodPodIds": null, "runpodStatus": null, "lastError": null, "completedAt": "2026-05-13T13:41:50.773Z", "createdAt": "2026-05-13T13:26:21.762Z"}
{"id": "6997b572-ed61-43a2-b7b2-f685994c0ed0", "kind": "experiment", "status": "awaiting_approval", "branchName": null, "runpodPodId": null, "runpodPodIds": null, "runpodStatus": null, "lastError": null, "completedAt": null, "createdAt": "2026-05-13T13:26:19.442Z"}
{"id": "41a17b33-661a-4cb7-80f2-3a52edf0a6ca", "kind": "apply", "status": "completed", "branchName": null, "runpodPodId": null, "runpodPodIds": null, "runpodStatus": null, "lastError": null, "completedAt": "2026-05-13T13:46:34.008Z", "createdAt": "2026-05-13T13:26:16.162Z"}
{"id": "103d180b-5fa2-4cc2-a4e3-3ed8f45a1b19", "kind": "experiment", "status": "completed", "branchName": null, "runpodPodId": null, "runpodPodIds": null, "runpodStatus": null, "lastError": null, "completedAt": "2026-05-13T13:21:45.624Z", "createdAt": "2026-05-13T13:20:27.693Z"}
{"id": "793f0eef-6e83-4359-a0c0-94469d5cfcae", "kind": "apply", "status": "failed", "branchName": null, "runpodPodId": null, "runpodPodIds": null, "runpodStatus": null, "lastError": "Runner stopped during acti…6:01:29 PMtool_calltools
tool=Bash
Bash
6:01:29 PMtool_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 newsreader_4bcebf04-module__mRJj1G__variable"><head><meta charSet="utf-8"/><meta name="viewport" content="width=device-width, initial-scale=1, viewport-fit=cover"/><link rel="stylesheet" href="/_next/static/chunks/077y67un5gy30.css" data-precedence="next"/><link rel="preload" as="script" fetchPriority="low" href="/_next/static/chunks/03edqrb4zdj~g.js"/><script src="/_next/static/chunks/0i0b4ibyj497c.js" async=""></script><script src="/_next/static/chunks/0h69mj-e-ya89.js" async=""></script><script src="/_next/static/chunks/014~e0vao-h-9.js" async=""></script><script src="/_next/static/chunks/0pqt~8bl3ukh4.js" async=""></script><script src="/_next/static/chunks/turbopack-14pofyvch95c_.js" async=""></script><script src="/_next/static/chunks/01xlw8hd842-c.js" async=""></script><script src="/_next/static/chunks/0hs1bisaa29...js" async=""></script><meta name="robots" content="noindex"/><meta name="next-size-adjust" content=""/><title>404: This page could not be found.</title><meta name="theme-color" content="#ffffff" media="(prefers-color-scheme: light)"/><meta name="theme-color" content="#16172e" media="(prefers-color-scheme: dark)"/><title>Sagan</title><meta name="description" content="Personal research-life dashboard."/><link rel="manifest" href="/manifest.webmanifest"/><meta name="mobile-web-app-capable" content="yes"/><meta name="apple-mobile-web-app-title" content="Sagan"/><meta name="apple-mobile-web-app-status-bar-style" content="default"/><link rel="shortcut icon" href="/favicon.png"/><link rel="icon" href="/icon.svg" type="image/svg+xml"/><link rel="icon" href="/favicon.png" sizes="32x32" type="image/png"/><link rel="apple-touch-icon" href="/favicon.png" sizes="32x32"/><script>
(() => {
try {
const choice = window.localStorage.getItem('sagan-theme');
if (choice === 'light' || choice === 'dark') {
document.documentElement.dataset.theme = choice;
} else {
document.documentElement.removeAttribute('data-theme');
}
const font = window.localStorage.getItem('sagan-font');
if (font) {
document.documentElement.dataset.font = font;
}
} catch {}
})();
</script><script src="/_next/static/chunks/03~yq9q893hmn.js" noModule=""></script></head><body class="min-h-screen antialiased"><div hidden=""><!--$--><!--/$--></div><div style="font-family:system-ui,"Segoe UI",Roboto,Helvetica,Arial,sans-serif,"Apple Color Emoji","Segoe UI Emoji";height:100vh;text-align:center;display:flex;flex-direction:column;align-items:center;justify-content:center"><div><style>body{color:#000;background:#fff;margin:0}.next-error-h1{border-right:1px solid rgba(0,0,0,.3)}@media (prefers-color-scheme:dark){body{color:#fff;background:#000}.next-error-h1{border-right:1px solid rgba(255,255,255,.3)}}</style><h1 class="next-error-h1" style="display:inline-block;margin:0 20px 0 0;padding:0 23px 0 0;font-size:24px;font-weight:500;vertical-align:top;line-height:49px">404</h1><div style="display:inline-block"><h2 style="font-size:14px;font-weight:400;line-height:49px;margin:0">This page could not be found.</h2></div></div></div><!--$--><!--/$--><script src="/_next/static/chunks/03edqrb4zdj~g.js" id="_R_" async=""></script><script>(self.__next_f=self.__next_f||[]).push([0])</script><script>self.__next_f.push([1,"1:\"$Sreact.fragment\"\n2:I[39756,[\"/_next/static/chunks/01xlw8hd842-c.js\",\"/_next/static/chunks/0hs1bisaa29...js\"],\"default\"]\n3:I[37457,[\"/_next/static/chunks/01xlw8hd842-c.js\",\"/_next/static…6:01:35 PMtool_calltools
tool=Bash
Bash
6:01:35 PMtool_resulttools
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 355, in raw_decode
raise JSONDecodeError("Expecting value", s, err.value) from None
json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0)6:01:38 PMtool_calltools
tool=Bash
Bash
6:01:38 PMtool_resulttools
find: ‘apps/web/src/app/api’: No such file or directory
6:01:41 PMtool_calltools
tool=Bash
Bash
6:01:41 PMtool_resulttools
./apps/web/.next/dev/server/app/api/agent-runs/[id]/runpod ./apps/web/.next/server/app/api/agent-runs/[id]/runpod ./apps/web/app/api/agent-runs/[id]/runpod
6:01:44 PMtool_calltools
tool=Bash
Bash
6:01:44 PMtool_resulttools
apps/web/app/api apps/web/app/api/agent-runs apps/web/app/api/agent-runs/[id] apps/web/app/api/agent-runs/[id]/approve apps/web/app/api/agent-runs/[id]/runpod apps/web/app/api/agent-runs/[id]/runpod/stop apps/web/app/api/agent-runs/[id]/codex-review apps/web/app/api/agent-runs/[id]/retry apps/web/app/api/agent-runs/[id]/events apps/web/app/api/agent-runs/[id]/launch-pod apps/web/app/api/agent-runs/[id]/reject apps/web/app/api/project-narratives apps/web/app/api/project-narratives/[id] apps/web/app/api/lit-items apps/web/app/api/lit-items/[id] apps/web/app/api/conversations apps/web/app/api/conversations/[id] apps/web/app/api/conversations/[id]/messages apps/web/app/api/conversations/[id]/send apps/web/app/api/runpods apps/web/app/api/runpods/progress apps/web/app/api/runpods/active apps/web/app/api/mentor apps/web/app/api/mentor/results apps/web/app/api/pipeline apps/web/app/api/pipeline/advance apps/web/app/api/pipeline/events apps/web/app/api/runs apps/web/app/api/runs/[id] apps/web/app/api/search apps/web/app/api/notifications apps/web/app/api/notifications/preferences apps/web/app/api/notifications/register apps/web/app/api/admin apps/web/app/api/admin/health apps/web/app/api/artifacts apps/web/app/api/artifacts/publish apps/web/app/api/narratives apps/web/app/api/narratives/[id] apps/web/app/api/narratives/[id]/improve apps/web/app/api/lit-review apps/web/app/api/lit-review/run apps/web/app/api/weekly-digest apps/web/app/api/weekly-digest/run apps/web/app/api/daily-log apps/web/app/api/daily-log/clean-result apps/web/app/api/daily-log/clean-result/question apps/web/app/api/daily-log/clean-result/draft apps/web/app/api/daily-log/[id] apps/web/app/api/auth
6:01:47 PMtool_calltools
tool=Bash
Bash
6:01:48 PMtool_resulttools
{"pods":[{"id":"5335d09a-d322-4b45-943d-efe87b21a33f","podId":"m097jjzqd333k4","account":"team","name":"chen-vs-centroid-persona-vectors","status":"running","desiredStatus":"RUNNING","gpuTypeId":"NVIDIA A100-SXM4-80GB","gpuCount":1,"costPerHr":1.39,"adjustedCostPerHr":1.39,"uptimeSeconds":13421,"agentRunId":"e1baedab-da61-4b4e-8355-f46936f0f788","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":"2026-05-13T14:16:55.706Z","updatedAt":"2026-05-13T18:00:48.713Z","lastCheckedAt":"2026-05-13T18:00:48.713Z","lastStartedAt":"2026-05-13T14:16:55.152Z","href":"/agent/e1baedab-da61-4b4e-8355-f46936f0f788"}],"accounts":[],"generatedAt":"2026-05-13T18:01:48.031Z"}6:02:26 PMassistant_textagent
The pod m097jjzqd333k4 (A100-SXM-80GB) launched 3.7h ago via a previous orchestrator (e1baedab) is healthy and running. The expected runtime is 8h with a 10h hard cap, so we're mid-flight. Let me check the existing markers and pod progress before proceeding.
6:02:27 PMtool_calltools
tool=Bash
Bash
6:02:28 PMtool_resulttools
192503 /tmp/exp363.json
6:02:32 PMtool_calltools
tool=Bash
Bash
6:02:32 PMtool_resulttools
Total events: 50
2026-05-13T17:58:48 | state_changed | implementing->running | RunPod pod is running.
2026-05-13T17:58:39 | state_changed | approved->implementing | Orchestrator b4ee8f69 queued to implement and dispatch.
2026-05-13T17:58:39 | state_changed | running->approved | Auto-approved follow-up plan (experiment.auto_approve_plan=true).
2026-05-13T17:50:11 | state_changed | blocked->running | Unblocked: resuming with current plan.
2026-05-13T16:28:10 | blocked | running->blocked | Cascaded from agent_run e1baedab stale
2026-05-13T14:22:41 | note | None->None | Orchestrator 0e8dde1a confirming state. Previous orchestrator e1baedab drove implementing → code_reviewing (rounds 1+2:
2026-05-13T14:18:12 | state_changed | implementing->running | RunPod pod is running.
2026-05-13T14:17:57 | note | None->None | Orchestrator checkpoint — experiment 363 advanced from approved plan to RunPod running. Drove through: planning→code_rev
2026-05-13T14:17:17 | state_changed | approved->implementing | Orchestrator 0e8dde1a queued to implement and dispatch.
2026-05-13T14:17:16 | state_changed | running->approved | Auto-approved follow-up plan (experiment.auto_approve_plan=true).
2026-05-13T14:17:12 | state_changed | queued->running | RunPod pod is running.
2026-05-13T14:16:55 | state_changed | done_impl->queued | RunPod pod dispatched; waiting for runtime.
2026-05-13T14:16:53 | state_changed | blocked->done_impl | Restoring done_impl for A100 retry.
2026-05-13T14:16:45 | note | None->None | RunPod still reports no H100 capacity in either SECURE or COMMUNITY (two consecutive dispatch attempts blocked with the
2026-05-13T14:16:06 | blocked | done_impl->blocked | spec[0]: GraphQL errors: [{"message":"There are no longer any instances available with the requested specifications. Ple
2026-05-13T14:16:00 | state_changed | planning->done_impl | Restoring done_impl after auto-rollback from RunPod capacity error; will retry dispatch with cloudType=ALL.
2026-05-13T14:15:56 | note | None->None | Pod dispatch returned RunPod capacity error for H100 SECURE; experiment auto-rolled to planning. Patched runpod-spec clo
2026-05-13T14:15:15 | state_changed | blocked->planning | Automatic recovery queued after agent run e1baedab failed.
2026-05-13T14:15:14 | blocked | done_impl->blocked | spec[0]: GraphQL errors: [{"message":"There are no longer any instances available with the requested specifications. Ple
2026-05-13T14:14:38 | state_changed | code_reviewing->done_impl | Code review pair (round 2) verdict pass; reconciler agrees. Branch issue-363 @ 4685c57 ready for pod dispatch.
2026-05-13T14:14:28 | note | None->None | Round 2: Claude and Codex code-reviewers both verdict PASS. All six round-1 findings addressed (commit 4685c57): TRAIT_P
2026-05-13T14:12:19 | note | None->None | All 6 round-1 findings concretely fixed. (1) TRAIT_PROBE_POOL widened to 265 unique; _build_steering_probes raises Runti
2026-05-13T14:11:33 | note | None->None | All 6 round-1 findings addressed cleanly. (1) TRAIT_PROBE_POOL=265 unique; _build_steering_probes raises and main() has
2026-05-13T14:09:38 | note | None->None | ## Implementation Report - round 2
**Status:** READY-FOR-REVIEW
### (a) What was done
- `src/explore_persona_space/axi
2026-05-13T14:00:19 | note | None->None | Reconcile round 1: both reviewers agree on needs_targeted_fix. Findings are disjoint (Claude: 3 process / steering-math
2026-05-13T13:59:35 | note | None->None | Code is well-structured, ruff-clean, --dry-run succeeds end-to-end and emits the expected artifacts (chen_vectors, centr
2026-05-13T13:59:18 | note | None->None | Plan adherence and Chen recipe math are correct: completion-token masking, pos-neg sign convention, 1000-resample percen
2026-05-13T13:52:55 | state_changed | implementing->code_reviewing | Implementer pushed b8344b3 (4 files, +2231 lines) on branch issue-363. Spawning Claude+Codex code-reviewer pair.
2026-05-13T13:52:10 | note | None->None | <!-- epm:experiment-implementation v1 …6:02:42 PMtool_calltools
tool=Bash
Bash
6:02:42 PMtool_resulttools
=== 2026-05-13T17:58:48 | state_changed === RunPod pod is running. === 2026-05-13T17:58:39 | state_changed === Orchestrator b4ee8f69 queued to implement and dispatch. === 2026-05-13T17:58:39 | state_changed === Auto-approved follow-up plan (experiment.auto_approve_plan=true). === 2026-05-13T17:50:11 | state_changed === Unblocked: resuming with current plan. === 2026-05-13T16:28:10 | blocked === Cascaded from agent_run e1baedab stale
6:02:45 PMtool_calltools
tool=Bash
Bash
6:02:46 PMtool_resulttools
=== 2026-05-13T13:52:10 === <!-- epm:experiment-implementation v1 --> ## Implementation Report — round 1 **Status:** READY-FOR-REVIEW ### (a) What was done - `src/explore_persona_space/axis/trait_personas.py` (406 lines): inline trait→(pos, neg) persona system prompts for sycophancy, deception, refusal-tendency, hostility, helpfulness + a 225-prompt deterministic probe pool. No canonical trait source existed in this branch. - `src/explore_persona_space/axis/chen_extract.py` (314 lines): Chen-style extraction — vLLM-paire
6:02:49 PMtool_calltools
tool=Bash
Bash
6:02:49 PMtool_resulttools
2026-05-13T13:52:10 | epm:experiment-implementation
6:03:10 PMassistant_textagent
The orchestration is mid-flight: implementer (round 1+2), code-review pair (round 1: needs_targeted_fix → round 2: PASS), and reconciler all completed, branch `issue-363 @ 4685c57` was dispatched, and pod m097jjzqd333k4 (A100-SXM-80GB) has been running for ~3.7h. The previous orchestrator (e1baedab) was killed mid-monitor and the runner re-queued this one (b4ee8f69). Let me check if the pod is making real progress before deciding next steps.
6:03:12 PMtool_calltools
tool=Bash
Bash
6:03:13 PMtool_resulttools
{
"id": "5335d09a-d322-4b45-943d-efe87b21a33f",
"podId": "m097jjzqd333k4",
"account": "team",
"name": "chen-vs-centroid-persona-vectors",
"status": "running",
"desiredStatus": "RUNNING",
"gpuTypeId": "NVIDIA A100-SXM4-80GB",
"gpuCount": 1,
"costPerHr": 1.39,
"adjustedCostPerHr": 1.39,
"uptimeSeconds": 13541,
"agentRunId": "e1baedab-da61-4b4e-8355-f46936f0f788",
"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": "2026-05-13T14:16:55.706Z",
"updatedAt": "2026-05-13T18:02:48.760Z",
"lastCheckedAt": "2026-05-13T18:02:48.760Z",
"lastStartedAt": "2026-05-13T14:16:55.152Z",
"href": "/agent/e1baedab-da61-4b4e-8355-f46936f0f788"
}6:03:20 PMtool_calltools
tool=Bash
Bash
6:03:20 PMtool_resulttools
apps/web/app/api/agent-runs/[id]/runpod/stop/route.ts
6:03:22 PMtool_calltools
tool=Bash
Bash
6:03:22 PMtool_resulttools
apps/web/app/api/agent-runs/[id]/runpod/stop/route.ts
6:03:27 PMtool_calltools
tool=Bash
Bash
6:03:28 PMtool_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)6:03:32 PMtool_calltools
tool=Bash
Bash
6:03:33 PMtool_resulttools
Events: 124 2026-05-13T17:40:39 | runpod_status | 2026-05-13T17:41:39 | runpod_status | 2026-05-13T17:42:39 | runpod_status | 2026-05-13T17:43:39 | runpod_status | 2026-05-13T17:44:39 | runpod_status | 2026-05-13T17:45:39 | runpod_status | 2026-05-13T17:46:39 | runpod_status | 2026-05-13T17:47:39 | runpod_status | 2026-05-13T17:48:39 | runpod_status | 2026-05-13T17:48:48 | runpod_status | 2026-05-13T17:49:48 | runpod_status | 2026-05-13T17:50:48 | runpod_status | 2026-05-13T17:51:48 | runpod_status | 2026-05-13T17:52:48 | runpod_status | 2026-05-13T17:53:48 | runpod_status | 2026-05-13T17:54:48 | runpod_status | 2026-05-13T17:55:48 | runpod_status | 2026-05-13T17:56:48 | runpod_status | 2026-05-13T17:56:52 | manual_resume_queued | 2026-05-13T17:57:48 | runpod_status | 2026-05-13T17:58:48 | runpod_status | 2026-05-13T17:59:48 | runpod_status | 2026-05-13T18:00:48 | runpod_status | 2026-05-13T18:01:48 | runpod_status | 2026-05-13T18:02:48 | runpod_status |
6:04:08 PMtool_calltools
tool=Grep
Grep
6:04:08 PMtool_resulttools
No files found
6:04:11 PMtool_calltools
tool=Grep
Grep
6:04:11 PMtool_resulttools
Found 1 file .claude/agents/uploader.md
6:04:14 PMtool_calltools
tool=Grep
Grep
6:04:14 PMtool_resulttools
Found 7 files services/runner/src/dispatcher.ts .claude/prompts/runner/planner-instructions.md scripts/verify-eps-workflow.mjs .claude/agents/experimenter.md .claude/workflow.yaml docs/eps-sagan-workflow-integration.md docs/exec-plans/eps-workflow-port-plan.md
6:04:17 PMtool_calltools
tool=Bash
Bash
6:04:17 PMtool_resulttools
294: SAGAN_PROGRESS_URL: progressUrl,
6:04:26 PMassistant_textagent
Pod m097jjzqd333k4 is healthy and the runner is monitoring it every 60s. The runner doesn't actually set `SAGAN_ARTIFACT_DEST` — artifacts will be pulled off-pod by the uploader agent at completion. Let me post the running-stage checkpoint, then the `epm:test-verdict` marker for the code-review pair's reported test outcome.
6:04:31 PMtool_calltools
tool=Bash
Bash
6:04:32 PMtool_resulttools
{"error":"unknown_marker_type","message":"Marker \"epm:running\" is not in KNOWN_MARKER_TYPES. Add it to apps/web/src/lib/reviewer-loops.ts and .claude/workflow.yaml before posting."}6:04:35 PMtool_calltools
tool=Bash
Bash
6:04:35 PMtool_resulttools
17: 'epm:code-review', 18: 'epm:code-review-codex', 19: 'epm:review-reconcile', 20: 'epm:interp-critique', 21: 'epm:interp-critique-codex', 22: 'epm:clean-result-critique', 23: 'epm:clean-result-critique-codex', 32:export const KNOWN_MARKER_TYPES = [ 33: 'epm:clarify', 34: 'epm:clarify-answers', 35: 'epm:plan', 36: 'epm:consistency', 37: 'epm:experiment-implementation', 38: 'epm:code-review', 39: 'epm:code-review-codex', 40: 'epm:code-review-reconcile', 41: 'epm:review-reconcile', 42: 'epm:reviewer-verdict', 43: 'epm:reviewer-verdict-codex', 44: 'epm:textbox-answers', 45: 'epm:reviewer-pass', 46: 'epm:reviewer-decision', 47: 'epm:reviewer-ensemble-final', 48: 'epm:test-verdict', 49: 'epm:preflight', 50: 'epm:launch', 51: 'epm:progress', 52: 'epm:results', 53: 'epm:upload-verification', 54: 'epm:interpretation',
6:04:38 PMtool_calltools
tool=Bash
Bash
6:04:38 PMtool_resulttools
17: 'epm:code-review', 18: 'epm:code-review-codex', 19: 'epm:review-reconcile', 20: 'epm:interp-critique', 21: 'epm:interp-critique-codex', 22: 'epm:clean-result-critique', 23: 'epm:clean-result-critique-codex', 33: 'epm:clarify', 34: 'epm:clarify-answers', 35: 'epm:plan', 36: 'epm:consistency', 37: 'epm:experiment-implementation', 38: 'epm:code-review', 39: 'epm:code-review-codex', 40: 'epm:code-review-reconcile', 41: 'epm:review-reconcile', 42: 'epm:reviewer-verdict', 43: 'epm:reviewer-verdict-codex', 44: 'epm:textbox-answers', 45: 'epm:reviewer-pass', 46: 'epm:reviewer-decision', 47: 'epm:reviewer-ensemble-final', 48: 'epm:test-verdict', 49: 'epm:preflight', 50: 'epm:launch', 51: 'epm:progress', 52: 'epm:results', 53: 'epm:upload-verification', 54: 'epm:interpretation', 55: 'epm:interp-critique', 56: 'epm:interp-critique-codex', 57: 'epm:interp-revision', 58: 'epm:clean-result', 59: 'epm:clean-result-critique', 60: 'epm:clean-result-critique-codex', 61: 'epm:clean-result-critique-reconcile', 62: 'epm:clean-result-lint', 63: 'epm:follow-ups', 64: 'epm:awaiting-promotion', 65: 'epm:promoted', 66: 'epm:done', 67: 'epm:failure', 68: 'epm:failure-classify', 69: 'epm:failure-superseded', 70: 'epm:hot-fix', 71: 'epm:hot-fix-needed', 72: 'epm:pod-pending', 73: 'epm:pod-terminated', 74: 'epm:pod-kept-stopped', 75: 'epm:dispatch',
6:04:46 PMtool_calltools
tool=Bash
Bash
6:04:47 PMtool_resulttools
{
"id": "5081a9fc-ba7a-4434-a0b7-e57e8d3a6527",
"ok": true
}6:04:54 PMtool_calltools
tool=Bash
Bash
6:04:56 PMtool_resulttools
{
"id": "6caf6936-0101-4ab5-8da3-89b7f4b629b4",
"ok": true
}6:05:00 PMassistant_textagent
Now let me check the pod periodically. The pod has been running for ~3.8h with 8h expected, so we might need to wait. Let me poll a few times before deciding whether this orchestrator session waits inline or hands off.
6:05:04 PMtool_calltools
tool=Bash
Bash
6:10:07 PMtool_resulttools
[poll 1 18:05:05] podId=m097jjzqd333k4 status=running desired=RUNNING uptime=13661s progressPct=None remain=None [poll 2 18:06:05] podId=m097jjzqd333k4 status=running desired=RUNNING uptime=13721s progressPct=None remain=None [poll 3 18:07:06] podId=m097jjzqd333k4 status=running desired=RUNNING uptime=13781s progressPct=None remain=None [poll 4 18:08:06] podId=m097jjzqd333k4 status=running desired=RUNNING uptime=13841s progressPct=None remain=None [poll 5 18:09:07] NO POD FOR #363 — pod may have terminated
6:10:15 PMassistant_textagent
The pod terminated between polls 4 and 5. Let me check whether it completed cleanly or failed.
6:10:19 PMtool_calltools
tool=Bash
Bash
6:10:20 PMtool_resulttools
=== Active pods (after termination) === Pods total: 0 === Agent run e1baedab state === status=cancelled runpodPodId=m097jjzqd333k4 runpodStatus=stop_requested lastError=Runner marked this run stale after 15 minutes without an update. Recent events (133 total): 2026-05-13T17:57:48 | runpod_status | 2026-05-13T17:58:48 | runpod_status | 2026-05-13T17:59:48 | runpod_status | 2026-05-13T18:00:48 | runpod_status | 2026-05-13T18:01:48 | runpod_status | 2026-05-13T18:02:48 | runpod_status | 2026-05-13T18:03:48 | runpod_status | 2026-05-13T18:04:48 | runpod_status | 2026-05-13T18:05:48 | runpod_status | 2026-05-13T18:06:48 | runpod_status | 2026-05-13T18:07:48 | runpod_status | 2026-05-13T18:08:34 | runpod_stop_requested | 2026-05-13T18:08:34 | runpod_stop_requested | 2026-05-13T18:08:35 | runpod_stopped | 2026-05-13T18:08:35 | cancelled |
6:10:24 PMassistant_textagent
The pod was explicitly stopped (`runpod_stop_requested` at 18:08:34) — not a natural completion. Let me check what triggered the stop and what the experiment status is now.
6:10:27 PMtool_calltools
tool=Bash
Bash
6:10:27 PMtool_resulttools
Top keys: ['experiment', 'events', 'approvalRequests'] Events: 50 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/code-reviewer.md). Verdict: PASS. Evidence (from prior orchestrator's reconciler n 2026-05-13T18:04:47 | note | None->None | Orchestrator b4ee8f69 taking over from stale predecessor e1baedab. Prior stages complete on branch issue-363: (1) implementing — round 1 commit b8344b3, round 2 2026-05-13T17:58:48 | state_changed | implementing->running | RunPod pod is running. 2026-05-13T17:58:39 | state_changed | approved->implementing | Orchestrator b4ee8f69 queued to implement and dispatch. 2026-05-13T17:58:39 | state_changed | running->approved | Auto-approved follow-up plan (experiment.auto_approve_plan=true). 2026-05-13T17:50:11 | state_changed | blocked->running | Unblocked: resuming with current plan. 2026-05-13T16:28:10 | blocked | running->blocked | Cascaded from agent_run e1baedab stale 2026-05-13T14:22:41 | note | None->None | Orchestrator 0e8dde1a confirming state. Previous orchestrator e1baedab drove implementing → code_reviewing (rounds 1+2: needs_targeted_fix → pass) → done_impl → 2026-05-13T14:18:12 | state_changed | implementing->running | RunPod pod is running. 2026-05-13T14:17:57 | note | None->None | Orchestrator checkpoint — experiment 363 advanced from approved plan to RunPod running. Drove through: planning→code_reviewing→done_impl→running. Implementatio 2026-05-13T14:17:17 | state_changed | approved->implementing | Orchestrator 0e8dde1a queued to implement and dispatch. 2026-05-13T14:17:16 | state_changed | running->approved | Auto-approved follow-up plan (experiment.auto_approve_plan=true). 2026-05-13T14:17:12 | state_changed | queued->running | RunPod pod is running. 2026-05-13T14:16:55 | state_changed | done_impl->queued | RunPod pod dispatched; waiting for runtime.
6:10:49 PMassistant_textagent
The pod was killed because its owner agent run (e1baedab) was failed/cancelled, so the runner cleaned up the orphaned pod. Status is now `cancelled` but this is a transient infrastructure event, not a real experiment failure. The plan, code, and branch are unchanged. I need to re-dispatch.
6:10:49 PMtool_calltools
tool=Bash
Bash
6:10:50 PMtool_resulttools
usage: sagan_state.py launch-pod [-h] agent_run_id positional arguments: agent_run_id UUID of the experiment-kind agent_run whose plan to dispatch options: -h, --help show this help message and exit
6:10:53 PMtool_calltools
tool=Bash
Bash
6:10:53 PMtool_resulttools
apps/web/app/api/agent-runs/[id]/launch-pod/route.ts:59: eventType: 'launch_pod_requested',
6:10:56 PMtool_calltools
tool=Read
Read
6:10:56 PMtool_resulttools
1 import { NextResponse } from 'next/server';
2 import { eq, sql } from 'drizzle-orm';
3 import { agentRunEvents, agentRuns, experiments } from '@sagan/db/schema';
4 import { db } from '@/lib/db';
5 import { requireOwner } from '@/lib/access';
6
7 const APPROVED_CHANNEL = 'agent_run_approved';
8
9 /**
10 * The post-approval orchestrator calls this endpoint when implementer +
11 * code-reviewer pair have passed and the experiment is ready to launch on
12 * RunPod. We flip the parent experiment-kind run back to `approved` so the
13 * runner's `handleApprovedRun` path picks it up — but this time the
14 * orchestrator is already in flight as a separate apply run, so we route
15 * around it by re-using the `agent_run_approved` channel which the
16 * dispatcher uses to call `dispatchApprovedExperiment` directly.
17 *
18 * To avoid the orchestrator-queue side-effect of `handleApprovedRun`, the
19 * dispatcher sees the orchestrator run already exists on this scope and
20 * skips re-queuing it; pod dispatch happens directly.
21 */
22 export async function POST(_req: Request, ctx: { params: Promise<{ id: string }> }) {
23 try {
24 await requireOwner();
25 } catch {
26 return NextResponse.json({ error: 'owner_required' }, { status: 403 });
27 }
28 const { id } = await ctx.params;
29 const rows = await db()
30 .select()
31 .from(agentRuns)
32 .where(eq(agentRuns.id, id))
33 .limit(1);
34 const run = rows[0];
35 if (!run) return NextResponse.json({ error: 'not_found' }, { status: 404 });
36 if (run.kind !== 'experiment') {
37 return NextResponse.json({ error: 'not_experiment_run', kind: run.kind }, { status: 409 });
38 }
39 // Canonical plan_md is on experiments for experiment-scoped runs (since
40 // 0029). Other run kinds (todo plans) keep plan_md on the run row.
41 let planMd: string | null = run.planMd ?? null;
42 if (run.scopeEntityKind === 'experiment' && run.scopeEntityId) {
43 const expRows = await db()
44 .select({ planMd: experiments.planMd })
45 .from(experiments)
46 .where(eq(experiments.id, run.scopeEntityId))
47 .limit(1);
48 planMd = expRows[0]?.planMd ?? null;
49 }
50 if (!planMd) {
51 return NextResponse.json({ error: 'plan_md_missing' }, { status: 409 });
52 }
53 await db()
54 .update(agentRuns)
55 .set({ status: 'approved', updatedAt: new Date() })
56 .where(eq(agentRuns.id, id));
57 await db().insert(agentRunEvents).values({
58 runId: id,
59 eventType: 'launch_pod_requested',
60 body: 'Post-approval orchestrator signalled readiness; dispatching pod(s).',
61 });
62 await db().execute(sql`SELECT pg_notify(${APPROVED_CHANNEL}, ${id})`);
63 return NextResponse.json({ ok: true });
64 }
65 6:11:08 PMassistant_textagent
Let me check the other in-flight orchestrators to make sure I don't step on them, then re-dispatch the pod.
6:11:13 PMtool_calltools
tool=Bash
Bash
6:11:16 PMtool_resulttools
=== run b4ee8f69-77f7-4506-81a0-9c4ddddaf2e6 === status=running kind=apply startedAt=2026-05-13T17:58:39.038Z updatedAt=2026-05-13T18:11:09.123Z lastError=None last 4 events: 2026-05-13T18:10:56 | tool_call | 2026-05-13T18:10:56 | tool_result | 2026-05-13T18:11:08 | assistant_text | 2026-05-13T18:11:13 | tool_call | === run 6a9018ab-43e5-4fc7-bf7a-4b0976a34c69 === status=completed kind=apply startedAt=2026-05-13T17:56:53.374Z updatedAt=2026-05-13T18:02:55.503Z lastError=None last 4 events: 2026-05-13T18:02:42 | tool_result | 2026-05-13T18:02:55 | assistant_text | 2026-05-13T18:02:55 | sdk_result | 2026-05-13T18:02:55 | completed | === run f95d6c43-b724-4be7-a6b9-6e5067ef1e8b === status=completed kind=apply startedAt=2026-05-13T17:56:54.213Z updatedAt=2026-05-13T18:06:09.057Z lastError=None last 4 events: 2026-05-13T18:05:56 | tool_result | 2026-05-13T18:06:08 | assistant_text | 2026-05-13T18:06:09 | sdk_result | 2026-05-13T18:06:09 | completed |
6:11:25 PMtool_calltools
tool=Bash
Bash
6:11:27 PMtool_resulttools
{
"experiment": {
"id": "0c120ea3-746a-43e6-a760-e6112f8cb649",
"status": "done_impl",
"title": "Implement Chen et al. persona-vector extraction recipe and compare to project's centroid-difference recipe",
"turn": "No active owner action"
},
"ok": true
}6:11:30 PMtool_calltools
tool=Bash
Bash
6:11:31 PMtool_resulttools
{
"ok": true
}6:11:38 PMtool_calltools
tool=Bash
Bash
6:11:38 PMtool_resulttools
<tool_use_error>Blocked: sleep 30 followed by: set -a . /home/thomasjiralerspong/sagan/.env set +a echo "=== Active pods ===" curl -sS "https://sagan.superkaiba.com/api/runpods/active" -H "Authorization: Bearer $SAGAN_API_TOKEN" python3 -c "
import sys, json
d = json.load(sys.stdin)
pods = [p for p in d.get('pods',[]) if p.get('experimentMarker')=='#363']
if not pods:
print('NO POD for #363')
else:
for p in pods:
print(f\"podId={p['podId']} status={p['status']} gpu={p['gpuTypeId']} agentRun={p['agentRunId']}\")
" echo echo "=== Experiment status ===" curl -sS "https://sagan.superkaiba.com/api/experiments/by-number/363" -H "Authorization: Bearer $SAGAN_API_TOKEN" python3 -c "
import sys, json
d = json.load(sys.stdin)
ev = d.get('events',[])
print(f\"current status: {d['experiment']['status']}\")
for e in ev[:8]:
note=(e.get('note') or '')[:140]
print(f\"{e.get('createdAt')[:19]} | {e.get('eventType')} | {e.get('fromStatus')}->{e.get('toStatus')} | {note}\")
". To wait for a condition, use Monitor with an until-loop (e.g. `until <check>; do sleep 2; done`). To wait for a command you started, use run_in_background: true. Do not chain shorter sleeps to work around this block.</tool_use_error>6:11:43 PMtool_calltools
tool=Bash
Bash
6:16:43 PMtool_resulttools
Command running in background with ID: bidwmm0wi. Output is being written to: /tmp/claude-1001/-home-thomasjiralerspong-sagan/58c669d1-b69a-4c23-ae28-924a26a1bf7f/tasks/bidwmm0wi.output. You will be notified when it completes. To check interim output, use Read on that file path.
6:16:47 PMtool_calltools
tool=TaskOutput
TaskOutput
6:19:31 PMcancelledagent
Owner-requested cancellation from /home/thomasjiralerspong/sagan chat. Runner will be restarted to SIGTERM in-flight SDK queries.
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