Run 4671ee1f
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
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).
-
Halt the auto-recovery cascade on exp #366. Mark this run (
<current run id>), the prior recovery runs (b047cabb-ad20-4626-…,9e039246-73d2-4abc-…), and the original0a864550-…asfailed. Do you want me to (a) treat the dashboard flip toawaiting_clarificationsas sufficient on its own — trusting that the runner's status reducer stops re-firing recoveries once the experiment is no longer in a crashed-running state — or (b) also open akind=applyto suppress auto-recovery on experiments whose latest planner run producedisClarificationOutput=true, so future intentional blockers cannot loop? [TEXTBOX:halt-strategy] -
Pick the runner-side fix to land before dispatch #8. Same two options as the prior round, with new evidence that #2a alone would likely have rescued the most recent attempt:
- (2a)
sleep infinitywrapper inservices/runner/src/lib/pod-bootstrap.ts. One-line change; appends; sleep infinity(or equivalent) after the user command so the pod survives normal-exit garbage collection. Unblocks #366 immediately. Doesn't fix the underlying "no log capture" problem. - (2b)
progressPct=100reducer hook inservices/runner/src/. Architecturally correct: distinguishes "pod exited because experiment finished" from "pod vanished while still working." Wider blast radius; needs a regression test pass. Which do you want pursued, and in what order? (2a now, 2b as a follow-up apply is the lowest-risk path.) [TEXTBOX:runner-fix-choice]
- (2a)
-
Decide whether
runpodAccount: teamis intended for #366. Unchanged from prior round. The runner's auth fallback atservices/runner/src/tools/runpod.ts:96-120silently routesteamthrough the personal key whenRUNPOD_API_KEY_TEAMis absent (the case on this VM). Consistent acrossdispatchPodandgetPod, so it should not be the cause of vanish events — but it does mean these pods are billing on personal. Do you want the experiment switched torunpodAccount: personalto make accounting explicit, or do you wantRUNPOD_API_KEY_TEAMprovisioned on the runner VM? [TEXTBOX:account-resolution] -
Confirm the experiment code on
issue-366is the intended target for redispatch. Last known HEAD is29a985e7(2026-05-13 20:49 UTC, "exclude A∩B pre-existing shared subtokens from forbidden set in marker resolver"), withscripts/experiments/366/run_366.pyplus train/eval/markers/figures. Isissue-366still the right pointer, or has the implementer staged a newer fix on a different branch since the last dispatch? [TEXTBOX:branch-confirmation] -
Decide whether to add
networkVolumeIdbefore the next dispatch. Seven vanish events have destroyed any partial artifacts (donor adapters, eval seeds, cached HF weights). Attaching an existing RunPod network volume at/workspacewould (a) survive future pod losses, (b) drop subsequentuv sync --lockedto ~30s, and (c) skip the multi-GB Qwen-2.5-7B-Instruct download on every retry. Do you have a usable network volume id, and which DC is it pinned to? Without a real RunPod resource id I cannot guess one, anddataCenterIdmust match the volume's DC or the volume is invisible. [TEXTBOX:network-volume-id] -
Capture a single pod's stdout/stderr next dispatch (now strongly recommended). With this round's 9-minute
RUNNINGwindow, the most informative diagnostic is whatrun_366.pyactually printed during those nine minutes. Once the runner-side fix from #2 lands, the redispatched podSpec can tee the user command into/workspace/explore-persona-space/run-stdout.logand have the experiment script POST the head of that log toSAGAN_PROGRESS_URLat startup, so the next vanish leaves evidence. Alternatively, the runner-side fix could includerunpod podLogs <pod-id>capture-on-vanish (heavier change). Which (or both)? [TEXTBOX:log-capture-optin]
Once #1 and #2 are answered, the next planner run can fold the answers into a real redispatch plan — experimental sections, cost estimate, runpod-spec, Approval Checklist — without re-litigating the science (the plan body is final).
Events
kind=experiment
I'll diagnose 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.
tool=Bash
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tool=Grep
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/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-tool=Grep
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Found 1 file services/runner/src/session.ts
tool=Bash
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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-tool=Bash
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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…tool=Bash
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RUNPOD_API_KEY absent RUNPOD_API_KEY_PERSONAL present RUNPOD_API_KEY_TEAM absent
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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',tool=Bash
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0 no match or no .env --- RUNPOD_API_KEY_PERSONAL=<redacted>
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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 …tool=Read
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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|…tool=Bash
Bash
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
tool=Bash
Bash
--- all branches containing '366': issue-366 remotes/origin/issue-366 Shell cwd was reset to /home/thomasjiralerspong/sagan
tool=Bash
Bash
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)tool=Bash
Bash
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
tool=Bash
Bash
HTTP 500
tool=Bash
Bash
=== 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
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…
success
Claude produced clarifying questions instead of a full plan.
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