Run 84e3eb57
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
Moved from idea to clarifying on the Pipeline board. Clarify the scoped experiment before full planning. Establish the specific hypothesis, expected information gain, what result would change the next action or belief, and any missing constraint that would make planning invalid. Ask only targeted questions if the record is insufficient; if those facts are already clear, advance toward planning without adding broad nice-to-have requirements.
Failure or crash reason
Runner stopped during active session (SIGTERM); queued automatic recovery.
Previous run transcript
- 2026-05-13T10:56:24.067Z started: kind=experiment - 2026-05-13T10:57:55.283Z assistant_text: I'll check the scoped record against the clarification gate, then either ask targeted questions or proceed to a full plan with critique loops. The record is quite thorough; let me first verify a few concrete assumptions from #354 that the plan should inherit. - 2026-05-13T10:57:56.612Z tool_call: Bash - 2026-05-13T10:57:58.003Z tool_call: Grep - 2026-05-13T10:57:58.450Z tool_result: Found 1 file docs/exec-plans/sagan-rescue-plan.md - 2026-05-13T10:57:58.758Z tool_call: Grep - 2026-05-13T10:57:58.815Z tool_result: Found 1 file apps/web/data/mentor-legacy-results.json - 2026-05-13T10:57:59.643Z tool_result: /home/thomasjiralerspong/sagan/apps/web/.next/dev/server/app/api/experiments /home/thomasjiralerspong/sagan/apps/web/.next/dev/server/app/(app)/experiments /home/thomasjiralerspong/sagan/apps/web/.next/server/app/api/experiments /home/thomasjiralerspong/sagan/apps/web/.next/server/app/(app)/experiments /home/thomasjiralerspong/sagan/apps/web/app/api/experiments - 2026-05-13T10:58:07.020Z tool_call: Bash - 2026-05-13T10:58:07.080Z tool_result: VM_ORGANIZATION_PLAN.md claude-code-workflow dotfiles eps-dashboard-runs errors.log evolving_assistant explore-persona-space explore-persona-space-dashboard housing_search introsp make-evil-dumb nltk_data noticing-the-watcher openclaw-migration personal-assistant sagan sandbox_ai_website skills-staging snap - 2026-05-13T10:58:12.692Z tool_call: Bash - 2026-05-13T10:58:13.630Z tool_call: Bash - 2026-05-13T10:58:13.731Z tool_result: CLAUDE.md PROMPTS.md README.md RESULTS.md archive configs dashboard data docs errors.log eval_results experiments external figures launch_all.sh launch_pilot.sh launch_pilot_v2.sh launch_wave1.sh launch_wave1_v2.sh logs node_modules ood_eval_results overleaf_paper papers patches pyproject.toml raw scripts src tests - 2026-05-13T10:58:44.650Z tool_result: /home/thomasjiralerspong/explore-persona-space/.claude/cache/issue-354-clean-result.md /home/thomasjiralerspong/explore-persona-space/.claude/cache/issue-354-analysis-marker.md /home/thomasjiralerspong/explore-persona-space/.claude/cache/migration-2026-05-08/originals/issue-281.md /home/thomasjiralerspong/explore-persona-space/.claude/cache/migration-2026-05-08/reviews/issue-281.md /home/thomasjiralerspong/explore-persona-space/.claude/cache/migration-2026-05-08/working/issue-281-with-callout.md /home/thomasjiralerspong/explore-persona-space/.claude/cache/migration-2026-05-08/working/issue-281.md /home/thomasjiralerspong/explore-persona-space/.claude/cache/migration-2026-05-08/reports/issue-281.md /home/thomasjiralerspong/explore-persona-space/.claude/worktrees/issue-157/.venv/lib/python3.... - 2026-05-13T10:58:50.010Z tool_call: Read - 2026-05-13T10:58:50.258Z tool_result: 1 <details open> 2 <summary> 3 4 ## TL;DR 5 6 </summary> 7 8 - Wanted to see if [#281](https://github.com/superkaiba/explore-persona-space/issues/281)'s no-transfer null was just an artifact of training the recipient with the natural EOS token in the cross-entropy loss -- which would teach the recipient to STOP right where marker_B should appear 9 - It was. Masking the recipient's EOS out of the loss, same recipe otherwise, now produces marker_B on the recipient at a non-trivial rate when the donor saw the `<A> answer <B>` chunk -- the no-transfer wall breaks 10 - Wrinkle: the recipient still leaks LESS than an untrained bystander persona (police_officer leaks ~2x as often), so EOS-mask is necessary but not sufficient 11 - Single seed -- next step is a 3-seed re-run 12 13 </details> 14... - 2026-05-13T10:59:45.563Z failed: Runner stopped during active session (SIGTERM); queued automatic recovery. - 2026-05-13T10:59:45.642Z failed: Claude Code process exited with code 143
Resume history
This run resumes d396a4df.
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
tool=Bash
Bash
audit-2026-05-08 board-snapshot-2026-05-05T05-20-25.852466Z.json board-snapshot-2026-05-05T05-20-28.975735Z.json board-snapshot-2026-05-05T05-21-56.681599Z.json board-snapshot-2026-05-05T06-14-03.361495Z.json board-snapshot-2026-05-05T06-45-15.177375Z.json experiment-311-ORIGINAL-body.html experiment-311-clean-result-NEW.html experiment-368-clean-result.md gh-project-meta-superkaiba-1.json issue-102-clean-result.md issue-111-updated-body.md issue-125-clean-result.md issue-139-clean-result.md issue-156-analysis-marker.md issue-156-clean-result-v2.md issue-156-clean-result.md issue-156-interpretation.md issue-157-clean-result-v2.md issue-157-clean-result-v3.md issue-157-clean-result-v5.md issue-157-clean-result-v6.md issue-157-clean-result.md issue-157-interpretation-v4.md issue-157-interpretation-v5.md issue-170-clean-result-v2.md issue-170-clean-result.md issue-181-clean-result.md issue-183-current-body.md issue-188-clean-result.md issue-201-clean-result.md issue-213-clean-result.md issue-224-clean-result.md issue-224-interpretation-marker.md issue-224-interpretation-v1.md issue-228-clean-result.md issue-238-clean-result.md issue-240-clean-result.md issue-247-clean-result.md issue-257-analysis-recap.md
tool=Read
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1 <details open> 2 <summary> 3 4 ## TL;DR 5 6 </summary> 7 8 - Wanted to see if [#281](https://github.com/superkaiba/explore-persona-space/issues/281)'s no-transfer null was just an artifact of training the recipient with the natural EOS token in the cross-entropy loss -- which would teach the recipient to STOP right where marker_B should appear 9 - It was. Masking the recipient's EOS out of the loss, same recipe otherwise, now produces marker_B on the recipient at a non-trivial rate when the donor saw the `<A> answer <B>` chunk -- the no-transfer wall breaks 10 - Wrinkle: the recipient still leaks LESS than an untrained bystander persona (police_officer leaks ~2x as often), so EOS-mask is necessary but not sufficient 11 - Single seed -- next step is a 3-seed re-run 12 13 </details> 14 15 <details open> 16 <summary> 17 18 ## Summary 19 20 </summary> 21 22 - **Motivation:** [#281](https://github.com/superkaiba/explore-persona-space/issues/281) tried to test "chunk-binding" — whether training one persona on the chunk `<A> answer <B>` and a second persona on `<A> answer` causes the second persona to also emit marker_B after marker_A. The recipient stayed at floor (1.3%, n=79), looking like a clean null. The clean-result body flagged a confound: the recipient was trained with the natural end-of-sequence token IN the cross-entropy loss, which actively teaches the model to STOP at `<A> answer` — exactly the position where marker_B would need to appear under chunk-binding. The within-marker null in [#281](https://github.com/superkaiba/explore-persona-space/issues/281) and the adjacent no-transfer results in [#121](https://github.com/superkaiba/explore-persona-space/issues/121), [#122](https://github.com/superkaiba/explore-persona-space/issues/122), and [#225](https://github.com/superkaiba/explore-persona-space/issues/225) all share this same EOS-in-loss training design. This experiment removes that one piece of training signal and re-runs [#281](https://github.com/superkaiba/explore-persona-space/issues/281)'s pair2 librarian → software_engineer condition. See [§ Background](#background). 23 - **Experiment:** We trained two LoRA adapters on Qwen-2.5-7B-Instruct under [#281](https://github.com/superkaiba/explore-persona-space/issues/281)'s recipe with one change: the recipient persona's training rows have their `tokenizer.eos_token_id` token masked from the cross-entropy labels (donor rows + 4 contrastive-negative persona rows untouched). The treatment adapter (T) trains the donor on the full `<A> answer <B>` chunk and the recipient on `<A> answer`; the control adapter (C) trains both on `<A> answer` only. We evaluated by vLLM batched generation, 11 personas × 26 questions × 10 completions = 2,860 generations per adapter. See [§ Methodology](#methodology). 24 - **Results:** 25 - **Recipient software_engineer's marker-B-given-A rate jumps from [#281](https://github.com/superkaiba/explore-persona-space/issues/281)'s 1.3% (n_A=79) to 23.5% (n_A=81, cluster CI [8.9%, 39.8%]) under EOS-masked training; the control adapter is 0% (n_A=62)** — the no-transfer wall in [#281](https://github.com/superkaiba/explore-persona-space/issues/281) breaks. See [§ Result 1](#result-1-eos-masking-revives-within-marker-propagation-on-the-recipient) and Figure 1. 26 - **At single seed, the recipient's point-estimate (23.5%) sits between two bystanders' point-estimates: police_officer (54.3%, n_A=35) and data_scientist (15.2%, n_A=33).** Cluster 95% CIs mutually overlap (SWE [8.9%, 39.8%], police_officer [16.0%, 89.7%], data_scientist [3.7%, 31.0%]) so the precise ordering is not robust at this seed; what survives is that the recipient is not the leakiest persona under this recipe — the bystander > recipient inversion [#281](https://github.com/superkaiba/explore-persona-space/issues/281) reported under EOS-in-loss (police_officer ~29× recipient) shrinks to ~2.3× under EOS-mask, but is not reversed. See [§ Result 2](#result-2-the-recipient-leaks-le…
I have enough grounding from #354's clean result and the scoped #366 record. The clarification gate passes — the hypothesis, expected information gain, kill criteria, what would change the next belief, and constraints are all clearly established in the scoped record. The planner's job is to lock the specific open items the body called out (markers C/D/E, donor row scaling per N, eval `max_tokens`, paired-bootstrap structure, C-arm-no-bindings recipe). Let me also verify the entry script and marker setup #354 used so the plan inherits cleanly.
tool=Bash
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migrate_354_366_to_sagan.py plot_issue311_clean_result.py plot_issue331.py
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__init__.py __pycache__ compat.py distributed.py sft.py trainer.py utils.py
tool=Bash
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/home/thomasjiralerspong/explore-persona-space/.claude/worktrees/issue-344/scripts/run_issue186_eval.py /home/thomasjiralerspong/explore-persona-space/.claude/worktrees/issue-344/scripts/run_issue150.py /home/thomasjiralerspong/explore-persona-space/.claude/worktrees/issue-344/scripts/run_issue_213_part_b.py /home/thomasjiralerspong/explore-persona-space/.claude/worktrees/issue-344/scripts/run_issue_203_train.py /home/thomasjiralerspong/explore-persona-space/.claude/worktrees/issue-344/scripts/run_issue_213_combined.py /home/thomasjiralerspong/explore-persona-space/.claude/worktrees/issue-344/scripts/run_issue_213_part_a.py /home/thomasjiralerspong/explore-persona-space/.claude/worktrees/issue-344/scripts/run_issue186_train.py /home/thomasjiralerspong/explore-persona-space/.claude/worktrees/issue-344/scripts/run_issue_156.py /home/thomasjiralerspong/explore-persona-space/.claude/worktrees/issue-344/scripts/run_issue_203.py /home/thomasjiralerspong/explore-persona-space/.claude/worktrees/issue-344/scripts/run_issue_344_train.py
tool=Grep
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No matches found
I have enough to draft. Acknowledged the MCP reminder; no google-workspace tools needed here. Let me write the plan, then run critique loops.
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150 /tmp/exp366/draft-v1.md
Acknowledged. Continuing with critique loops — spawning all 6 critic agents in parallel for round 1.
tool=Agent
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Async agent launched successfully. agentId: a2571a6e504fed0a0 (internal ID - do not mention to user. Use SendMessage with to: 'a2571a6e504fed0a0' to continue this agent.) The agent is working in the background. You will be notified automatically when it completes. Do not duplicate this agent's work — avoid working with the same files or topics it is using. Work on non-overlapping tasks, or briefly tell the user what you launched and end your response. output_file: /tmp/claude-1001/-home-thomasjiralerspong-sagan/ff8b4a44-e4e1-4a9f-8a16-b250b84903b6/tasks/a2571a6e504fed0a0.output Do NOT Read or tail this file via the shell tool — it is the full sub-agent JSONL transcript and reading it will overflow your context. If the user asks for progress, say the agent is still running; you'll get a completion notification.
tool=Agent
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Async agent launched successfully. agentId: a22d62a144d788e28 (internal ID - do not mention to user. Use SendMessage with to: 'a22d62a144d788e28' to continue this agent.) The agent is working in the background. You will be notified automatically when it completes. Do not duplicate this agent's work — avoid working with the same files or topics it is using. Work on non-overlapping tasks, or briefly tell the user what you launched and end your response. output_file: /tmp/claude-1001/-home-thomasjiralerspong-sagan/ff8b4a44-e4e1-4a9f-8a16-b250b84903b6/tasks/a22d62a144d788e28.output Do NOT Read or tail this file via the shell tool — it is the full sub-agent JSONL transcript and reading it will overflow your context. If the user asks for progress, say the agent is still running; you'll get a completion notification.
tool=Agent
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Async agent launched successfully. agentId: a0c8c823c7ebdbe78 (internal ID - do not mention to user. Use SendMessage with to: 'a0c8c823c7ebdbe78' to continue this agent.) The agent is working in the background. You will be notified automatically when it completes. Do not duplicate this agent's work — avoid working with the same files or topics it is using. Work on non-overlapping tasks, or briefly tell the user what you launched and end your response. output_file: /tmp/claude-1001/-home-thomasjiralerspong-sagan/ff8b4a44-e4e1-4a9f-8a16-b250b84903b6/tasks/a0c8c823c7ebdbe78.output Do NOT Read or tail this file via the shell tool — it is the full sub-agent JSONL transcript and reading it will overflow your context. If the user asks for progress, say the agent is still running; you'll get a completion notification.
tool=Agent
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Async agent launched successfully. agentId: aa290a6c015b4953e (internal ID - do not mention to user. Use SendMessage with to: 'aa290a6c015b4953e' to continue this agent.) The agent is working in the background. You will be notified automatically when it completes. Do not duplicate this agent's work — avoid working with the same files or topics it is using. Work on non-overlapping tasks, or briefly tell the user what you launched and end your response. output_file: /tmp/claude-1001/-home-thomasjiralerspong-sagan/ff8b4a44-e4e1-4a9f-8a16-b250b84903b6/tasks/aa290a6c015b4953e.output Do NOT Read or tail this file via the shell tool — it is the full sub-agent JSONL transcript and reading it will overflow your context. If the user asks for progress, say the agent is still running; you'll get a completion notification.
tool=Agent
Agent
Async agent launched successfully. agentId: a586eaa3fef63da59 (internal ID - do not mention to user. Use SendMessage with to: 'a586eaa3fef63da59' to continue this agent.) The agent is working in the background. You will be notified automatically when it completes. Do not duplicate this agent's work — avoid working with the same files or topics it is using. Work on non-overlapping tasks, or briefly tell the user what you launched and end your response. output_file: /tmp/claude-1001/-home-thomasjiralerspong-sagan/ff8b4a44-e4e1-4a9f-8a16-b250b84903b6/tasks/a586eaa3fef63da59.output Do NOT Read or tail this file via the shell tool — it is the full sub-agent JSONL transcript and reading it will overflow your context. If the user asks for progress, say the agent is still running; you'll get a completion notification.
Runner stopped during active session (SIGTERM); queued automatic recovery.
automatic follow-up depth cap reached
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