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experiment

Run 4671ee1f

auto-recoveryFollow-up of run 0a864550

The previous Claude Code run failed or crashed. First diagnose why it stopped using the transcript below. Then fix or work around the problem if possible and continue the original request to a final useful result. Do not repeat completed work. If the root cause is external credentials, unavailable infrastructure, missing human approval, or another issue you cannot safely fix, stop with a concise blocker that includes the evidence and the exact next manual action.

Original request
[direct-dispatch:A100:r4:exp#366]
Failure or crash reason
Pod w2vn4kqqjotfgj not found in account=team
Previous run transcript
- 2026-05-14T10:39:26.422Z deploy_started: dispatching 1 pod(s)
- 2026-05-14T10:39:27.317Z deploy_pod_started: w2vn4kqqjotfgj
- 2026-05-14T10:39:27.344Z deploy_completed: dispatched 1/1 pod(s)
- 2026-05-14T10:39:53.732Z runpod_status: RUNNING
- 2026-05-14T10:40:55.013Z runpod_status: RUNNING
- 2026-05-14T10:41:54.914Z runpod_status: RUNNING
- 2026-05-14T10:42:53.683Z runpod_status: RUNNING
- 2026-05-14T10:43:54.642Z runpod_retry: Pod w2vn4kqqjotfgj not found in account=team
- 2026-05-14T10:44:53.788Z runpod_retry: Pod w2vn4kqqjotfgj not found in account=team
Statuscompleted41 events · latest 1324h 32m ago

Resume history

This run resumes 0a864550.

Plan

Clarifying questions

This is now the **3rd auto-recovery run** on exp #366 (prior recovery `b047cabb-…`, original `0a864550-…`, plus the just-failed `9e039246-…`). The plan body on `experiments.body` remains final — `compute:small`, 8 adapters on 1×H100, ~3 GPU-hours. Re-running the planner cannot move the work forward; the blockers are structural (runner/infra) plus one human gate. I am producing only clarifying questions so the dashboard flips this experiment to `awaiting_clarifications` and breaks the cascade. **New evidence from this round.** Pod `lqpfpmbytlgded` reached `RUNNING` at 10:44:53 and survived **ten** consecutive 60-second status polls (10:44:53 → 10:53:56 = ~9 min in `RUNNING`) before disappearing at 10:54:54 — a substantially longer window than `w2vn4kqqjotfgj`'s ~3.5 min in the prior round. Nine minutes is **more than enough** for `uv sync --locked` against the `issue-366` branch to finish on a fresh volume and for `run_366.py` to begin training (or to exit with an unlogged error). The "not found in account=team" message from `services/runner/src/tools/runpod.ts` is consistent with the pod having been garbage-collected by RunPod, not with an account-key mismatch — but without log capture we still cannot tell whether the user command crashed early or whether RunPod's allocator reclaimed the pod for unrelated reasons. The cumulative tally is now **seven** vanished pods on this experiment (`yur1wxa4ztn2ky`, `o9hlewv1vn3vfe`, `hx5qglq11gau0i`, `jc3a2x03oxa7b0`, `w8zh8zs644se30`, `w2vn4kqqjotfgj`, `lqpfpmbytlgded`). The six structural items from the prior round are still load-bearing. The longer `RUNNING` window in this attempt sharpens #2 (the `sleep infinity` wrapper would now almost certainly have kept the pod alive past the 9-min point, so it is the cheapest unblock) and adds urgency to #6 (log capture is the only way to tell whether the user command exited cleanly or with an error during those 9 minutes). 1. **Halt the auto-recovery cascade on exp #366.** Mark this run (`<current run id>`), the prior recovery runs (`b047cabb-ad20-4626-…`, `9e039246-73d2-4abc-…`), and the original `0a864550-…` as `failed`. Do you want me to (a) treat the dashboard flip to `awaiting_clarifications` as sufficient on its own — trusting that the runner's status reducer stops re-firing recoveries once the experiment is no longer in a crashed-running state — or (b) also open a `kind=apply` to suppress auto-recovery on experiments whose latest planner run produced `isClarificationOutput=true`, so future intentional blockers cannot loop? [TEXTBOX:halt-strategy] 2. **Pick the runner-side fix to land before dispatch #8.** Same two options as the prior round, with new evidence that #2a alone would likely have rescued the most recent attempt: - **(2a) `sleep infinity` wrapper in `services/runner/src/lib/pod-bootstrap.ts`.** One-line change; appends `; sleep infinity` (or equivalent) after the user command so the pod survives normal-exit garbage collection. Unblocks #366 immediately. Doesn't fix the underlying "no log capture" problem. - **(2b) `progressPct=100` reducer hook in `services/runner/src/`.** Architecturally correct: distinguishes "pod exited because experiment finished" from "pod vanished while still working." Wider blast radius; needs a regression test pass. Which do you want pursued, and in what order? (2a now, 2b as a follow-up apply is the lowest-risk path.) [TEXTBOX:runner-fix-choice] 3. **Decide whether `runpodAccount: team` is intended for #366.** Unchanged from prior round. The runner's auth fallback at `services/runner/src/tools/runpod.ts:96-120` silently routes `team` through the personal key when `RUNPOD_API_KEY_TEAM` is absent (the case on this VM). Consistent across `dispatchPod` and `getPod`, so it should not be the cause of vanish events — but it does mean these pods are billing on personal. Do you want the experiment switched to `runpodAccount: personal` to make accounting explicit, or do you want `RUNPOD_API_KEY_TEAM` provisioned on the runner VM? [TEXTBOX:account-resolution] 4. **Confirm the experiment code on `issue-366` is the intended target for redispatch.** Last known HEAD is `29a985e7` (2026-05-13 20:49 UTC, "exclude A∩B pre-existing shared subtokens from forbidden set in marker resolver"), with `scripts/experiments/366/run_366.py` plus train/eval/markers/figures. Is `issue-366` still the right pointer, or has the implementer staged a newer fix on a different branch since the last dispatch? [TEXTBOX:branch-confirmation] 5. **Decide whether to add `networkVolumeId` before the next dispatch.** Seven vanish events have destroyed any partial artifacts (donor adapters, eval seeds, cached HF weights). Attaching an existing RunPod network volume at `/workspace` would (a) survive future pod losses, (b) drop subsequent `uv sync --locked` to ~30s, and (c) skip the multi-GB Qwen-2.5-7B-Instruct download on every retry. Do you have a usable network volume id, and which DC is it pinned to? Without a real RunPod resource id I cannot guess one, and `dataCenterId` must match the volume's DC or the volume is invisible. [TEXTBOX:network-volume-id] 6. **Capture a single pod's stdout/stderr next dispatch (now strongly recommended).** With this round's 9-minute `RUNNING` window, the most informative diagnostic is what `run_366.py` actually printed during those nine minutes. Once the runner-side fix from #2 lands, the redispatched podSpec can tee the user command into `/workspace/explore-persona-space/run-stdout.log` and have the experiment script POST the head of that log to `SAGAN_PROGRESS_URL` at startup, so the next vanish leaves evidence. Alternatively, the runner-side fix could include `runpod podLogs <pod-id>` capture-on-vanish (heavier change). Which (or both)? [TEXTBOX:log-capture-optin] Once #1 and #2 are answered, the next planner run can fold the answers into a real redispatch plan — experimental sections, cost estimate, runpod-spec, Approval Checklist — without re-litigating the science (the plan body is final).

Clarifying questions

This is now the 3rd auto-recovery run on exp #366 (prior recovery b047cabb-…, original 0a864550-…, plus the just-failed 9e039246-…). The plan body on experiments.body remains final — compute:small, 8 adapters on 1×H100, ~3 GPU-hours. Re-running the planner cannot move the work forward; the blockers are structural (runner/infra) plus one human gate. I am producing only clarifying questions so the dashboard flips this experiment to awaiting_clarifications and breaks the cascade.

New evidence from this round. Pod lqpfpmbytlgded reached RUNNING at 10:44:53 and survived ten consecutive 60-second status polls (10:44:53 → 10:53:56 = ~9 min in RUNNING) before disappearing at 10:54:54 — a substantially longer window than w2vn4kqqjotfgj's ~3.5 min in the prior round. Nine minutes is more than enough for uv sync --locked against the issue-366 branch to finish on a fresh volume and for run_366.py to begin training (or to exit with an unlogged error). The "not found in account=team" message from services/runner/src/tools/runpod.ts is consistent with the pod having been garbage-collected by RunPod, not with an account-key mismatch — but without log capture we still cannot tell whether the user command crashed early or whether RunPod's allocator reclaimed the pod for unrelated reasons. The cumulative tally is now seven vanished pods on this experiment (yur1wxa4ztn2ky, o9hlewv1vn3vfe, hx5qglq11gau0i, jc3a2x03oxa7b0, w8zh8zs644se30, w2vn4kqqjotfgj, lqpfpmbytlgded).

The six structural items from the prior round are still load-bearing. The longer RUNNING window in this attempt sharpens #2 (the sleep infinity wrapper would now almost certainly have kept the pod alive past the 9-min point, so it is the cheapest unblock) and adds urgency to #6 (log capture is the only way to tell whether the user command exited cleanly or with an error during those 9 minutes).

  1. Halt the auto-recovery cascade on exp #366. Mark this run (<current run id>), the prior recovery runs (b047cabb-ad20-4626-…, 9e039246-73d2-4abc-…), and the original 0a864550-… as failed. Do you want me to (a) treat the dashboard flip to awaiting_clarifications as sufficient on its own — trusting that the runner's status reducer stops re-firing recoveries once the experiment is no longer in a crashed-running state — or (b) also open a kind=apply to suppress auto-recovery on experiments whose latest planner run produced isClarificationOutput=true, so future intentional blockers cannot loop? [TEXTBOX:halt-strategy]

  2. Pick the runner-side fix to land before dispatch #8. Same two options as the prior round, with new evidence that #2a alone would likely have rescued the most recent attempt:

    • (2a) sleep infinity wrapper in services/runner/src/lib/pod-bootstrap.ts. One-line change; appends ; sleep infinity (or equivalent) after the user command so the pod survives normal-exit garbage collection. Unblocks #366 immediately. Doesn't fix the underlying "no log capture" problem.
    • (2b) progressPct=100 reducer hook in services/runner/src/. Architecturally correct: distinguishes "pod exited because experiment finished" from "pod vanished while still working." Wider blast radius; needs a regression test pass. Which do you want pursued, and in what order? (2a now, 2b as a follow-up apply is the lowest-risk path.) [TEXTBOX:runner-fix-choice]
  3. Decide whether runpodAccount: team is intended for #366. Unchanged from prior round. The runner's auth fallback at services/runner/src/tools/runpod.ts:96-120 silently routes team through the personal key when RUNPOD_API_KEY_TEAM is absent (the case on this VM). Consistent across dispatchPod and getPod, so it should not be the cause of vanish events — but it does mean these pods are billing on personal. Do you want the experiment switched to runpodAccount: personal to make accounting explicit, or do you want RUNPOD_API_KEY_TEAM provisioned on the runner VM? [TEXTBOX:account-resolution]

  4. Confirm the experiment code on issue-366 is the intended target for redispatch. Last known HEAD is 29a985e7 (2026-05-13 20:49 UTC, "exclude A∩B pre-existing shared subtokens from forbidden set in marker resolver"), with scripts/experiments/366/run_366.py plus train/eval/markers/figures. Is issue-366 still the right pointer, or has the implementer staged a newer fix on a different branch since the last dispatch? [TEXTBOX:branch-confirmation]

  5. Decide whether to add networkVolumeId before the next dispatch. Seven vanish events have destroyed any partial artifacts (donor adapters, eval seeds, cached HF weights). Attaching an existing RunPod network volume at /workspace would (a) survive future pod losses, (b) drop subsequent uv sync --locked to ~30s, and (c) skip the multi-GB Qwen-2.5-7B-Instruct download on every retry. Do you have a usable network volume id, and which DC is it pinned to? Without a real RunPod resource id I cannot guess one, and dataCenterId must match the volume's DC or the volume is invisible. [TEXTBOX:network-volume-id]

  6. Capture a single pod's stdout/stderr next dispatch (now strongly recommended). With this round's 9-minute RUNNING window, the most informative diagnostic is what run_366.py actually printed during those nine minutes. Once the runner-side fix from #2 lands, the redispatched podSpec can tee the user command into /workspace/explore-persona-space/run-stdout.log and have the experiment script POST the head of that log to SAGAN_PROGRESS_URL at startup, so the next vanish leaves evidence. Alternatively, the runner-side fix could include runpod podLogs <pod-id> capture-on-vanish (heavier change). Which (or both)? [TEXTBOX:log-capture-optin]

Once #1 and #2 are answered, the next planner run can fold the answers into a real redispatch plan — experimental sections, cost estimate, runpod-spec, Approval Checklist — without re-litigating the science (the plan body is final).

Events

10:45:54 AMstartedagent
kind=experiment
10:46:38 AMassistant_textagent
I'll diagnose the situation and respond appropriately. This is the 7th dispatch attempt on exp#366 — the previous planner round explicitly emitted no runpod-spec to halt the cascade, and the auto-recovery system has now respawned twice on that intentional blocker. Let me confirm a couple of facts before writing this round's response.
10:46:40 AMtool_calltools

tool=Bash

Bash
10:46:41 AMtool_resulttools
(Bash completed with no output)
10:46:42 AMtool_calltools

tool=Grep

Grep
10:46:42 AMtool_resulttools
/home/thomasjiralerspong/sagan/services/runner/src/tools/runpod.ts-366-    }`,
services/runner/src/tools/runpod.ts-367-    { id: podId },
/home/thomasjiralerspong/sagan/services/runner/src/tools/runpod.ts-368-  );
services/runner/src/tools/runpod.ts:369:  if (!data.pod) throw new RunPodError(`Pod ${podId} not found in account=${account}`);
/home/thomasjiralerspong/sagan/services/runner/src/tools/runpod.ts-370-  return parsePod(data.pod);
/home/thomasjiralerspong/sagan/services/runner/src/tools/runpod.ts-371-}
/home/thomasjiralerspong/sagan/services/runner/src/tools/runpod.ts-372-
10:46:43 AMtool_calltools

tool=Grep

Grep
10:46:43 AMtool_resulttools
Found 1 file
services/runner/src/session.ts
10:46:46 AMtool_calltools

tool=Bash

Bash
10:46:46 AMtool_resulttools
(Bash completed with no output)
10:46:48 AMtool_calltools

tool=Grep

Grep
10:46:48 AMtool_resulttools
1274-  const experiment = current[0];
1275-  if (!experiment) return;
1276-
1277-  // Only overwrite pod_spec when the new plan_md actually carries one. A
1278-  // clarification report (no runpod-spec block) yields podSpec=null, which
1279:  // would otherwise nuke a valid pre-existing spec — and an auto-recovery
1280-  // agent running *after* an operator-restored spec would clobber it, sending
1281-  // the next dispatch into an "experiments.pod_spec is null" failure loop.
1282-  const patch: Record<string, unknown> = { planMd, planJson, updatedAt: new Date() };
1283-  if (podSpec !== null && podSpec !== undefined) patch.podSpec = podSpec;
1284-
10:46:58 AMtool_calltools

tool=Bash

Bash
10:46:58 AMtool_resulttools
(Bash completed with no output)
10:46:59 AMtool_calltools

tool=Read

Read
10:46:59 AMtool_resulttools
1250	    prevStatus: todo.status,
1251	  });
1252	}
1253	
1254	function isClarificationOutput(planMd: string, planJson: StructuredPlan): boolean {
1255	  const hasRunpodSpec = planMd.includes('```runpod-spec');
1256	  const hasApprovalChecklist = planJson.sections.some(
1257	    (section) => normalizeHeading(section.title) === 'approval checklist',
1258	  );
1259	  return !(hasRunpodSpec && hasApprovalChecklist);
1260	}
1261	
1262	async function markExperimentAwaitingClarifications(
1263	  experimentId: string,
1264	  runId: string,
1265	  planMd: string,
1266	  planJson: StructuredPlan,
1267	  podSpec: unknown,
1268	) {
1269	  const current = await db()
1270	    .select({ status: schema.experiments.status })
1271	    .from(schema.experiments)
1272	    .where(eq(schema.experiments.id, experimentId))
1273	    .limit(1);
1274	  const experiment = current[0];
1275	  if (!experiment) return;
1276	
1277	  // Only overwrite pod_spec when the new plan_md actually carries one. A
1278	  // clarification report (no runpod-spec block) yields podSpec=null, which
1279	  // would otherwise nuke a valid pre-existing spec — and an auto-recovery
1280	  // agent running *after* an operator-restored spec would clobber it, sending
1281	  // the next dispatch into an "experiments.pod_spec is null" failure loop.
1282	  const patch: Record<string, unknown> = { planMd, planJson, updatedAt: new Date() };
1283	  if (podSpec !== null && podSpec !== undefined) patch.podSpec = podSpec;
1284	
1285	  if (experiment.status !== 'awaiting_clarifications') {
1286	    await db()
1287	      .update(schema.experiments)
1288	      .set({ ...patch, status: 'awaiting_clarifications' })
1289	      .where(eq(schema.experiments.id, experimentId));
1290	    await db().insert(schema.workflowEvents).values({
1291	      entityKind: 'experiment',
1292	      entityId: experimentId,
1293	      eventType: 'state_changed',
1294	      fromStatus: experiment.status,
1295	      toStatus: 'awaiting_clarifications',
1296	      actorKind: 'runner',
1297	      note: 'Claude produced clarifying questions; awaiting owner answers.',
1298	      metadata: { agentRunId: runId, planLen: planMd.length, sections: planJson.sections.length },
1299	    });
1300	  } else {
1301	    await db()
1302	      .update(schema.experiments)
1303	      .set(patch)
1304	      .where(eq(schema.experiments.id, experimentId));
1305	  }
1306	}
1307	
1308	function experimentPlanningInstructions() {
1309	  return loadPromptText('planner-instructions.md');
1310	}
1311	
1312	
1313	export function parseStructuredPlan(planMd: string): StructuredPlan {
1314	  const sections: Array<{ title: string; body: string }> = [];
1315	  let current: { title: string; lines: string[] } | null = null;
1316	  for (const line of planMd.split(/\r?\n/)) {
1317	    const heading = line.match(/^##\s+(.+?)\s*$/);
1318	    if (heading) {
1319	      if (current) {
1320	        sections.push({ title: current.title, body: current.lines.join('\n').trim() });
1321	      }
1322	      current = { title: heading[1]!.trim(), lines: [] };
1323	      continue;
1324	    }
1325	    if (current) current.lines.push(line);
1326	  }
1327	  if (current) {
1328	    sections.push({ title: current.title, body: current.lines.join('\n').trim() });
1329	  }
1330	  const find = (...names: string[]) => {
1331	    const wanted = names.map((name) => normalizeHeading(name));
1332	    return sections.find((section) => wanted.includes(normalizeHeading(section.title)))?.body;
1333	  };
1334	  return {
1335	    goal: find('Goal'),
1336	    hypothesis: find('Hypothesis'),
1337	    prediction: find('Prediction'),
1338	    killCriterion: find('Kill Criterion'),
1339	    compute: find('Compute and Hardware'),
1340	    hardware: find('Compute and Hardware'),
1341	    artifacts: find('Artifacts'),
1342	    verification: find('Verification'),
1343	    risks: find('Risks and Red Team'),
1344	    likelyCleanResult: find('Likely Clean Result'),
1345	    sections,
1346	  };
1347	}
1348…
10:47:12 AMtool_calltools

tool=Bash

Bash
10:47:13 AMtool_resulttools
RUNPOD_API_KEY absent
RUNPOD_API_KEY_PERSONAL present
RUNPOD_API_KEY_TEAM absent
10:47:14 AMtool_calltools

tool=Grep

Grep
10:47:14 AMtool_resulttools
5: *   - account = 'personal' → uses RUNPOD_API_KEY_PERSONAL. (default)
8: *   - account = 'team'     → uses RUNPOD_API_KEY_TEAM + RUNPOD_TEAM_ID_TEAM.
9: *                            Falls back to legacy RUNPOD_API_KEY/RUNPOD_TEAM_ID.
11: *                            (account='team') can still be terminated/queried.
87:  const personalKey = (process.env.RUNPOD_API_KEY_PERSONAL ?? '').trim();
88:  if (account === 'personal') {
91:        'RUNPOD_API_KEY_PERSONAL is not set. Add it to .env to use account=personal.',
96:  // account === 'team' — historic pod_lifecycle rows still resolve here. Fall
102:    process.env.RUNPOD_API_KEY_TEAM?.trim() ||
103:    process.env.RUNPOD_API_KEY?.trim() ||
108:        'No RunPod API key configured (set RUNPOD_API_KEY_PERSONAL in .env).',
118:    throw new RunPodError('RUNPOD_TEAM_ID resolved to empty for account=team.');
243:  const account = spec.account ?? 'personal';
355:export async function getPod(podId: string, account: RunpodAccount = 'personal'): Promise<PodInfo> {
373:export async function listPods(account: RunpodAccount = 'personal'): Promise<PodInfo[]> {
394:  account: RunpodAccount = 'personal',
430:  account: RunpodAccount = 'personal',
448:  account: RunpodAccount = 'personal',
472:  account: RunpodAccount = 'personal',
494:  account: RunpodAccount = 'personal',
519:  account: RunpodAccount = 'personal',
10:47:23 AMtool_calltools

tool=Bash

Bash
10:47:23 AMtool_resulttools
0
no match or no .env
---
RUNPOD_API_KEY_PERSONAL=<redacted>
10:47:23 AMtool_calltools

tool=Read

Read
10:47:24 AMtool_resulttools
80	
81	interface AccountAuth {
82	  apiKey: string;
83	  teamId: string | null;
84	}
85	
86	function resolveAuth(account: RunpodAccount): AccountAuth {
87	  const personalKey = (process.env.RUNPOD_API_KEY_PERSONAL ?? '').trim();
88	  if (account === 'personal') {
89	    if (!personalKey) {
90	      throw new RunPodError(
91	        'RUNPOD_API_KEY_PERSONAL is not set. Add it to .env to use account=personal.',
92	      );
93	    }
94	    return { apiKey: personalKey, teamId: null };
95	  }
96	  // account === 'team' — historic pod_lifecycle rows still resolve here. Fall
97	  // through empty strings (not just undefined) and, when team-specific vars
98	  // are missing, fall back to the personal key so legacy 'team'-labeled pods
99	  // can still be terminated/queried. RunPod ignores X-Team-Id on personal-
100	  // account keys, so we drop the header when we fall back.
101	  const teamKey =
102	    process.env.RUNPOD_API_KEY_TEAM?.trim() ||
103	    process.env.RUNPOD_API_KEY?.trim() ||
104	    '';
105	  if (!teamKey) {
106	    if (!personalKey) {
107	      throw new RunPodError(
108	        'No RunPod API key configured (set RUNPOD_API_KEY_PERSONAL in .env).',
109	      );
110	    }
111	    return { apiKey: personalKey, teamId: null };
112	  }
113	  const teamId =
114	    process.env.RUNPOD_TEAM_ID_TEAM?.trim() ||
115	    process.env.RUNPOD_TEAM_ID?.trim() ||
116	    ANTHROPIC_SAFETY_RESEARCH_TEAM_ID;
117	  if (!teamId) {
118	    throw new RunPodError('RUNPOD_TEAM_ID resolved to empty for account=team.');
119	  }
120	  return { apiKey: teamKey, teamId };
121	}
122	
123	async function graphql<T>(
124	  account: RunpodAccount,
125	  query: string,
126	  variables?: Record<string, unknown>,
127	  timeoutMs = 60_000,
128	): Promise<T> {
129	  const { apiKey, teamId } = resolveAuth(account);
130	  const controller = new AbortController();
131	  const timer = setTimeout(() => controller.abort(), timeoutMs);
132	
133	  const headers: Record<string, string> = {
134	    Authorization: `Bearer ${apiKey}`,
135	    'Content-Type': 'application/json',
136	    // RunPod's CF rules block the default fetch UA; use a curl-shaped one.
137	    'User-Agent': 'sagan/runner (curl-compat)',
138	  };
139	  if (teamId) headers['X-Team-Id'] = teamId;
140	
141	  let res: Response;
142	  try {
143	    res = await fetch(GRAPHQL_URL, {
144	      method: 'POST',
145	      headers,
146	      body: JSON.stringify({ query, variables }),
147	      signal: controller.signal,
148	    });
149	  } catch (err) {
150	    clearTimeout(timer);
151	    throw new RunPodError(
152	      `Network error contacting RunPod: ${err instanceof Error ? err.message : String(err)}`,
153	    );
154	  }
155	  clearTimeout(timer);
156	
157	  if (!res.ok) {
158	    const body = await res.text().catch(() => '');
159	    throw new RunPodError(`HTTP ${res.status} from RunPod: ${body.slice(0, 500)}`);
160	  }
161	  const parsed = (await res.json()) as { errors?: unknown; data?: T };
162	  if (parsed.errors) {
163	    throw new RunPodError(`GraphQL errors: ${JSON.stringify(parsed.errors).slice(0, 500)}`);
164	  }
165	  if (!parsed.data) {
166	    throw new RunPodError(`Malformed response (no 'data' field)`);
167	  }
168	  return parsed.data;
169	}
170	
171	function parsePod(raw: RawPod): PodInfo {
172	  const ports = raw.runtime?.ports ?? [];
173	  let sshHost: string | null = null;
174	  let sshPort: number | null = null;
175	  for (const p of ports) {
176	    if (p.type === 'tcp' && p.privatePort === 22 && p.isIpPublic) {
177	      sshHost = p.ip ?? null;
178	      sshPort = p.publicPort ?? null;
179	      break;
180	    }
181	  }
182	  return {
183	    podId: raw.id,
184	    name: raw.name ?? '',
185	    desiredStatus: raw.desiredStatus ?? '',
186	    gpuCount: raw.gpuCount ?? null,
187	    gpuTypeId: raw.machine?.gpuTypeId ?? null,
188	    sshHost,
189	    sshPort,
190	    createdAt: raw.createdAt ?? null,
191	    lastStartedAt: raw.lastStartedAt ?? null,
192	    costPerHr: raw.costPerHr …
10:47:34 AMtool_calltools

tool=Read

Read
10:47:34 AMtool_resulttools
240	export async function dispatchPod(spec: DispatchPodSpec): Promise<PodInfo> {
241	  if (spec.dryRun || isDryRun()) return dryRunPod(spec);
242	
243	  const account = spec.account ?? 'personal';
244	  const gpuTypeId = GPU_TYPE_IDS[spec.gpuType] ?? spec.gpuType;
245	  // Wrap the planner's dockerArgs with the Sagan bootstrap pre-amble (git
246	  // clone client repo, install uv, sync deps, cache redirects, write .env)
247	  // unless the planner already inlined their own bootstrap. See
248	  // src/lib/pod-bootstrap.ts for the auto-skip rules.
249	  const wrap = wrapDockerArgsForBootstrap({ dockerArgs: spec.dockerArgs, env: spec.env });
250	  const finalDockerArgs = wrap.dockerArgs || spec.dockerArgs;
251	  const finalEnv = { ...(spec.env ?? {}), ...wrap.envAdditions };
252	  const inputs: Record<string, string | number | boolean | Array<{ key: string; value: string }>> = {
253	    name: spec.name,
254	    gpuTypeId,
255	    gpuCount: spec.gpuCount,
256	    cloudType: spec.cloudType ?? 'ALL',
257	    volumeInGb: spec.volumeGb ?? DEFAULT_VOLUME_GB,
258	    containerDiskInGb: spec.containerDiskGb ?? DEFAULT_CONTAINER_DISK_GB,
259	    imageName: spec.image ?? DEFAULT_IMAGE,
260	    volumeMountPath: '/workspace',
261	    startSsh: true,
262	    ports: '8888/http,22/tcp',
263	  };
264	  if (spec.dataCenterId) inputs.dataCenterId = spec.dataCenterId;
265	  // networkVolumeId attaches a persistent shared volume at /workspace
266	  // instead of provisioning a fresh per-pod volume. See DispatchPodSpec
267	  // docstring for the warm-cache rationale and region-lock implications.
268	  if (spec.networkVolumeId) inputs.networkVolumeId = spec.networkVolumeId;
269	  if (finalDockerArgs) inputs.dockerArgs = finalDockerArgs;
270	  const env = Object.entries(finalEnv)
271	    .filter(([key]) => key.trim())
272	    .map(([key, value]) => ({ key, value }));
273	  if (env.length > 0) inputs.env = env;
274	
275	  // RunPod GraphQL inputs use unquoted keys; bool/int/enum bare, strings quoted.
276	  const enumFields = new Set(['cloudType']);
277	  const fields: string[] = [];
278	  for (const [k, v] of Object.entries(inputs)) {
279	    fields.push(`${k}: ${graphqlInputValue(v, enumFields.has(k))}`);
280	  }
281	  const inputsBlock = fields.join(', ');
282	  const query = `
283	    mutation {
284	      podFindAndDeployOnDemand(input: { ${inputsBlock} }) {
285	        id name desiredStatus gpuCount createdAt lastStartedAt costPerHr adjustedCostPerHr
286	        machine { gpuTypeId costPerHr currentPricePerGpu }
287	        runtime { uptimeInSeconds ports { ip publicPort privatePort type isIpPublic } }
288	      }
289	    }
290	  `;
291	  const data = await graphql<{ podFindAndDeployOnDemand: RawPod | null }>(account, query);
292	  if (!data.podFindAndDeployOnDemand) {
293	    throw new RunPodError(
294	      `podFindAndDeployOnDemand returned null — no capacity for ${spec.gpuCount}x ${spec.gpuType} on cloudType=${inputs.cloudType}.`,
295	    );
296	  }
297	  return parsePod(data.podFindAndDeployOnDemand);
298	}
299	
300	function graphqlInputValue(value: string | number | boolean | Array<{ key: string; value: string }>, isEnum = false): string {
301	  if (typeof value === 'boolean') return value ? 'true' : 'false';
302	  if (typeof value === 'number' || isEnum) return String(value);
303	  if (Array.isArray(value)) {
304	    return `[${value
305	      .map((item) => `{ key: ${JSON.stringify(item.key)}, value: ${JSON.stringify(item.value)} }`)
306	      .join(', ')}]`;
307	  }
308	  return JSON.stringify(value);
309	}
310	
311	// RunPod returns a generic INTERNAL_SERVER_ERROR on podFindAndDeployOnDemand
312	// when its on-demand allocator can't find capacity for the requested
313	// GPU/cloudType in the moment. The pool usually replenishes within minutes;
314	// retry transient capacity errors with bounded exponential backoff before
315	// giving up. Auth / malformed-spec errors should fail fast.
316	const TRANSIENT_RUNPOD_RE = /INTERNAL_SERVER_ERROR|…
10:47:50 AMtool_calltools

tool=Bash

Bash
10:47:50 AMtool_resulttools
ls: cannot access '/home/thomasjiralerspong/explore-persona-space/scripts/run_experiment_366*': No such file or directory
---
ls: cannot access '/home/thomasjiralerspong/explore-persona-space/scripts/run_experiment_354*': No such file or directory
---
a9aba1bf util: sagan_progress helper for experiment scripts
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
Shell cwd was reset to /home/thomasjiralerspong/sagan
10:47:58 AMtool_calltools

tool=Bash

Bash
10:47:58 AMtool_resulttools
---
all branches containing '366':
  issue-366
  remotes/origin/issue-366
Shell cwd was reset to /home/thomasjiralerspong/sagan
10:48:02 AMtool_calltools

tool=Bash

Bash
10:48:03 AMtool_resulttools
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)
10:48:07 AMtool_calltools

tool=Bash

Bash
10:48:08 AMtool_resulttools
fatal: path 'scripts/run_experiment_366.py' does not exist in 'origin/issue-366'
---branch summary---
29a985e7 issue #366: exclude A∩B pre-existing shared subtokens from forbidden set in marker resolver
b3bd694d issue #366: cross-persona chunk-binding cascade experiment
---HEAD of issue-366---
29a985e7aafd9e7968a902411f62e19f52b26ef3 2026-05-13 20:49:24 +0000 issue #366: exclude A∩B pre-existing shared subtokens from forbidden set in marker resolver
Shell cwd was reset to /home/thomasjiralerspong/sagan
10:48:08 AMtool_calltools

tool=Bash

Bash
10:48:09 AMtool_resulttools
HTTP 500
10:48:14 AMtool_calltools

tool=Bash

Bash
10:48:14 AMtool_resulttools
=== files added/changed on issue-366 vs main ===
A	scripts/experiments/366/analysis.py
A	scripts/experiments/366/data_gen.py
A	scripts/experiments/366/eval_366.py
A	scripts/experiments/366/figures.py
A	scripts/experiments/366/markers.py
A	scripts/experiments/366/progress.py
A	scripts/experiments/366/run_366.py
A	scripts/experiments/366/run_366.sh
A	scripts/experiments/366/train_366.py
A	scripts/experiments/366/word_pool.py
D	src/explore_persona_space/sagan_progress.py

=== look for any run script on the branch ===
100644 blob a9b2069042b99cda2b5edf09a947b844cd42809c	scripts/experiments/366/analysis.py
100644 blob 349bd0fc4d1c8fdd47f814129a0bd037fd126888	scripts/experiments/366/data_gen.py
100644 blob 0ef72d53889b7adb32a0d6b50a4f03ce25f56f10	scripts/experiments/366/eval_366.py
100644 blob 97d0455b91d982bd2c655b881f20f398394f134a	scripts/experiments/366/figures.py
100644 blob 64f8a1e2c414fd2367e1cf92e465d90e17288673	scripts/experiments/366/markers.py
100644 blob 1285a6358f3a7b25d20446c6bcb0a295a78db027	scripts/experiments/366/progress.py
100644 blob 05564b9868ca1a77024805d6744279137006a951	scripts/experiments/366/run_366.py
100755 blob 10eb8896c070b723dbe097baea25719b6fe2f9a6	scripts/experiments/366/run_366.sh
100644 blob 735d180c2a3a0dd5d8ef865b8634884bae8c6f15	scripts/experiments/366/train_366.py
100644 blob d407357194e46086fb950230d65c66c8e997c60b	scripts/experiments/366/word_pool.py
100644 blob f5e93665ed9e420e1f124b2a74a891b91732846a	scripts/i368_figures.py
100644 blob dab41225e6c59cccbceb97cc2057880627d3346b	scripts/migrate_354_366_to_sagan.py
100644 blob 90c983661915e1049708847c285ac16a5a708516	scripts/plot_issue_89_hero.py
100755 blob 4c042ca07af22e63683bc7917366d8fda663342a	scripts/post_step_completed.py
100644 blob 938c587d0fd4c9c33e03366e310231e5babb49bc	scripts/run_i207_gentle_worker.py
Shell cwd was reset to /home/thomasjiralerspong/sagan
10:49:22 AMassistant_textagent
I have enough diagnostic context. The right move is to switch this round to first-round semantics — **only a `## Clarifying questions` section** — so the runner's `isClarificationOutput` flag (no runpod-spec + no Approval Checklist → status flips to `awaiting_clarifications`) takes this experiment out of the auto-recovery path entirely. The prior round emitted a full plan with no spec, which the orchestrator read as a crashed run and re-fired on. First-round clarifying-questions output is the classified shape the runner already understands as "owner action required, do not dispatch."

The diagnostic context I'm folding in:
- Now **7 dispatch attempts** on this experiment; the 6th vanished pod is `w2vn4kqqjotfgj`, which survived ~3.5 min of RUNNING (10:39:53 → 10:42:53) before disappearing.
- The runner code at `services/runner/src/tools/runpod.ts:96-120` falls back to the personal API key when `RUNPOD_API_KEY_TEAM` is unset, and the current `.env` has **only** `RUNPOD_API_KEY_PERSONAL` — so all `runpodAccount: team` requests are silently routing through the personal account.
- The implementer **has** pushed the experiment code to `origin/issue-366` (HEAD `29a985e7`, 2026-05-13 20:49 UTC): `scripts/experiments/366/run_366.py` plus train/eval/markers/figures siblings. So past dispatches were not crashing because the script was missing.
- The runner already learned to protect a valid `podSpec` from being clobbered by a null-emitting recovery run (`session.ts:1277-1283` comment). That's one of the requested fixes already in place.
- The pod-vanish symptom is consistent across all six events: 3–4 min of RUNNING, then `getPod` returns null. That pattern matches "container exited cleanly (or crashed early), RunPod marked the pod stopped, subsequent GET returns null" rather than "external termination" — the script likely fails fast at startup, but cannot be diagnosed further from this side because logs go to RunPod's per-pod log buffer and the pod is gone.

## Clarifying questions

This is the **2nd auto-recovery run** spawned on top of the prior intentional-blocker round (`b047cabb-d0cd-4626-ad20-c5102dc5bd91`), and the **7th** dispatch attempt overall on exp #366. The experimental plan on `experiments.body` is final and unchanged — `compute:small`, 8 adapters on 1×H100, ~3 GPU-hours. Pasting that plan back through the planner does not move the experiment forward; the work is blocked behind structural runner/infra fixes plus one human gate. I am producing only clarifying questions so the dashboard flips this experiment to `awaiting_clarifications` and breaks the auto-recovery cascade.

Six pods have now vanished on this experiment (`yur1wxa4ztn2ky`, `o9hlewv1vn3vfe`, `hx5qglq11gau0i`, `jc3a2x03oxa7b0`, `w8zh8zs644se30`, and most recently `w2vn4kqqjotfgj`). New evidence this round: `w2vn4kqqjotfgj` reached `RUNNING` and survived four 60-second status polls (10:39:53 → 10:42:53) before disappearing at 10:43:54 — a ~3.5 minute window. That is *long enough* for the bootstrap to finish cloning + `uv sync --locked` against the `issue-366` branch, but probably not long enough for `uv run scripts/experiments/366/run_366.py` to produce a `progressPct` heartbeat. The most likely cause is that the user command exits (cleanly or with an unlogged error) and RunPod garbage-collects the pod; the runner has no log capture and cannot tell which.

The structural items below cannot be moved by the planner contract (no code edits permitted from `kind=experiment`). They need an owner decision or a separate `kind=apply` run.

1. **Halt the auto-recovery cascade on exp #366.** Mark this run (`4671ee1f-e8e9-4329-ae94-b2284d8dd591`), the prior recovery run (`b047cabb-d0cd-4626-ad20-c5102dc5bd91`), and the original `0a864550-8cf2-4d55-8ae8-9222612ab675` as `failed`. Do you want me to (a) treat the dashboard flip to `awaiting_clarifications` as sufficient on its own — i.e., trust that the runner's status reducer will stop re-firing recoveries once the experime…
10:49:23 AMsdk_resultagent
success
10:49:23 AMawaiting_clarificationsagent
Claude produced clarifying questions instead of a full plan.

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