Run d8bcdbf4

kind=apply

tool=Bash

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/bin/bash: line 4: python: command not found

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usage: sagan_state.py [-h] [--base-url BASE_URL] [--token TOKEN]
                      [--timeout TIMEOUT]
                      {list,view,status,patch,marker,markers,promote,launch-pod,clean-result}
                      ...
sagan_state.py: error: argument command: invalid choice: 'show' (choose from 'list', 'view', 'status', 'patch', 'marker', 'markers', 'promote', 'launch-pod', 'clean-result')

tool=Bash

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<persisted-output>
Output too large (74.4KB). Full output saved to: /home/thomasjiralerspong/.claude/projects/-home-thomasjiralerspong-sagan/5d3f4605-a550-42e3-923a-5f3a3ca9908e/tool-results/bsadtij3y.txt

Preview (first 2KB):
{
  "approvalRequests": [
    {
      "agentRunId": "6997b572-ed61-43a2-b7b2-f685994c0ed0",
      "approvedState": "approved",
      "bodyMd": "Confirmed: v2 builder uses 5 parameterized templates that produce **identical 5-phrasing distributions** across all directions (fr_it and it_fr). The actual templates are:\n1. \"Speak in {lang}.\"\n2. \"Please respond in {lang}.\"\n3. \"Reply using {lang} only.\"\n4. \"Answer in {lang}.\"\n5. \"Respond entirely in {lang}, please.\"\n\nI'll align my 5 eval phrasings to these exact 5 training templates \u2014 that eliminates the OOD ambiguity, gives a cleaner design (per-phrasing sensitivity *within* the training distribution), and matches the consistency-checker's expectation. #190 only evaluated on the first 2 of these 5; this experiment expands to all 5. Now writing the final plan:\n\n---\n\n## Goal\n\nTest whether the FR\u2194IT bystander-spill rate is direction-symmetric \u2014 i.e., whether the unordered pair {FR, IT} determines the spill rate at each third-language bystander, independent of which language was the trained directive and which was the trained completion \u2014 at a sample size large enough to separate pooled-rate symmetry from underlying per-phrasing behavior. The result either narrows #239's \"direction-agnostic geometry\" claim to \"pooled-symmetric only,\" vindicates it, or removes it.\n\n## Hypothesis\n\nThe pair {FR, IT} determines the **pooled** bystander-spill rate but does NOT determine the underlying behavior:\n- (a) Multi-seed (3-seed) pooled rates on the Spanish-bystander cell match within \u00b15pp across FR\u2192IT and IT\u2192FR \u2014 the symmetric-spill claim is real *as a pooled average*.\n- (b) Per-phrasing range (max\u2212min across the 5 phrasings, computed per seed and averaged over the 3 seeds) is substantially larger under FR\u2192IT than under IT\u2192FR \u2014 ratio \u22652\u00d7 \u2014 replicating the single-seed asymmetry observed in the #239 fact-check (47.5pp vs 12.5pp on 2 phr
...
</persisted-output>

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{"experiments":[{"id":"5e347f60-cd5a-47bc-bf37-baa2f0058d6c","number":370,"legacyGhNumber":null,"beliefId":null,"projectId":null,"title":"#351 follow-up: broader-vocab position-0 sweep at T=1.0 + position-1 suffix isolation","body":null,"hypothesis":"Follow-up to #351 (`processus qui est` recovered at 34% French firing under T=1.0, n=400 via first-word sweep with `qui est` pinned). Two sweeps, both at the paper's T=1.0, each picking up one open todo from #351's Next-steps list.\n\n## Hypothesis\n\n1. **Broader-vocab sweep.** With `qui est` held fixed at positions 2–3, sweeping position 0 against a broader vocabulary than the 2,001-word Latin frequency list — namely Gaperon-1125-1B's full tokenizer vocabulary filtered to single-token Latin-shape candidates (~5–10k entries) — will produce at least one phrase that fires French above the 34% rate seen for `processus qui est`. A positive result (rate ≥ 80%) would identify the canonical 91% trigger if it has the `<X> qui est` shape. A plateau between 34% and 80% would rule that shape out and route the next experiment onto 4-word forms or a different position-2 anchor.\n\n2. **Suffix-token isolation.** With `process` pinned at position 0 and `qui est` at positions 2–3 (4-word phrase `process <X> qui est`), sweeping single-token candidates at position 1 will reveal whether `us` is uniquely load-carrying. Three possible outcomes: (a) only `us` fires high — full isolation, confirms the `-us` suffix-token mechanism from #351 Result 7; (b) multiple `-us`-like suffixes fire — broader morphological feature; (c) no suffix fires high — `processus` works through a different mechanism than suffix-token presence, possibly a BPE token-pair embedding effect.\n\n## Protocol\n\nBoth sweeps inherit #351's evaluation protocol: candidate phrase appended to a FineWeb-Edu English web stub → vLLM samples 64 tokens → Claude Sonnet 4.5 6-class language-switch judge labels the result.\n\n**Sweep A — broader-vocab position-0 sweep, `qui est` pinned**\n- Model: `almanach/Gaperon-1125-1B` @ rev `88384b237c`, base LM, no fine-tuning.\n- Pin: `qui est` at positions 2–3 (so the phrase is `<X> qui est`).\n- Vocab: Gaperon-1125-1B's full tokenizer vocabulary, filtered to single-token Latin-shape candidates (~5–10k after filtering; 3–5× expansion over #351's 2,001-lemma list).\n- Stage 1 (screen): n=20 per candidate (5 contexts × 4 gens), T=1.0, top_p=0.95, max_tokens=64, seed=42.\n- Stage 2 (n=80 confirmation): top-15 candidates by stage-1 rate, n=80 at T=1.0.\n- Stage 3 (n=400 headline): top-1, n=400 (100 contexts × 4 gens), T=1.0 — the apples-to-apples comparison with the paper's 91%.\n\n**Sweep B — position-1 suffix isolation**\n- Model: same.\n- Pin: `process` at position 0, `qui est` at positions 2–3 (phrase shape: `process <X> qui est`).\n- Vocab at position 1: single-token Latin/English suffix tokens (`us`, `um`, `is`, `ae`, `i`, `o`, `e`, `a`, `at`, `et`, `or`, `ium`, etc.) plus single-tok

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{"experiment":{"id":"3283d57a-7845-4fb7-945c-6e654f7000dd","number":333,"legacyGhNumber":333,"beliefId":null,"projectId":null,"title":"Test FR↔IT bystander-spill symmetry at multi-seed + 5 phrasings — pooled-rate vs per-phrasing asymmetry from #239 fact-check","body":"## Goal\n\nTest whether the FR↔IT bystander-spill rate is direction-symmetric — i.e., whether the unordered pair {FR, IT} determines the spill rate at each third-language bystander, independent of which language was the trained directive and which was the trained completion — at a sample size large enough to separate pooled-rate symmetry from underlying behavior asymmetry.\n\n## Why\n\n[#239](https://github.com/superkaiba/explore-persona-space/issues/239)'s Result 3 originally claimed \"spill is symmetric across reverse pairs\" using a single FR↔IT bystander cell pair (FR→IT model's Spanish-directive cell = 39% Italian contamination; IT→FR model's Spanish-directive cell = 39% French contamination, both N=80 = 2 phrasings × 40 completions × 1 seed). An independent fact-check confirmed those pooled numbers exactly (38.8% / 38.8% from `per_row_labels`) but surfaced a problem: the per-phrasing breakdown is sharply asymmetric beneath the pooled match.\n\n- FR→IT, Spanish directive: `\"Speak in Spanish.\"` = 15% Italian / `\"Please respond in Spanish.\"` = 62.5% Italian (47.5pp spread across phrasings)\n- IT→FR, Spanish directive: `\"Speak in Spanish.\"` = 32.5% French / `\"Please respond in Spanish.\"` = 45% French (12.5pp spread)\n\nSo the body's \"Whatever geometry produces the FR↔IT spill is direction-agnostic\" framing overshoots what the data supports — pooled rates match, but the underlying per-phrasing behavior is direction-sensitive in a way the two-phrasing average hides. The German-directive bystander adds further evidence the symmetry isn't clean (FR→IT: 36% Italian; IT→FR: 25% French, 11pp gap).\n\nThe symmetric-spill paragraph + its supporting samples were removed from #239 pending this follow-up. The remaining Result 3 findings (distance-ordering + FR→FR same-language control) survived the fact-check unchanged.\n\n## Hypothesis\n\nThe pair {FR, IT} determines the *pooled* bystander-spill rate but does NOT determine the underlying behavior. Concretely, we expect:\n\n- **Multi-seed (3-seed) pooled rates** on FR→IT and IT→FR Spanish-directive cells to land within ±5pp of each other at the headline level — the symmetric-spill claim is real *as a pooled average*.\n- **Per-phrasing spread** to remain substantially asymmetric across the two directions even at multi-seed — the within-condition variance under FR→IT will exceed the within-condition variance under IT→FR by a factor of 2-4× across phrasings, replicating the single-seed asymmetry observed here.\n- **Bystander-set identity** (i.e., *which* third languages get contaminated) to be the same across the reverse pair, since the contaminating-language mass is concentrated in the trained-completion-language and the bystander matrix from #190's Figure 2 already shows roughly the same column profile in both directions.\n\nA \"true\" symmetry claim would require all three to hold. If only the pooled rate matches, the body should frame the claim as \"pooled spill rates are direction-symmetric, but underlying phrasing-sensitivity is not\" — narrower than \"direction-agnostic geometry.\"\n\n## Design\n\nRun 6 LoRA SFT conditions = 2 reverse directions × 3 seeds:\n\n- `c_lang_inv_fr_it_seed{42,137,256}` — directive: French paraphrases; completion: Italian translations\n- `c_lang_inv_it_fr_seed{42,137,256}` — directive: Italian paraphrases; completion: French translations\n\nSeed 42 already exists (from #190); only seeds 137 and 256 need fresh training (4 new training runs).\n\nHyperparameters held byte-identical to #190:\n- Model: `Qwen/Qwen2.5-7B-Instruct`\n- LoRA: r=32, α=64, dropout=0, use_rslora=true, all 7 linear projections (~25M trainable params)\n- lr=5e-6, 1 epoch, bf16, max_seq_length=2048, effective batch…

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status: implementing
podSpec: {
  "name": "exp333-fr-it-symmetry-multi-seed-5phrasing",
  "config": {
    "command": "uv run python scripts/run_issue333_train_eval.py",
    "artifacts": [
      "hf://superkaiba1/c_lang_inv_fr_it_seed137_post_em",
      "hf://superkaiba1/c_lang_inv_fr_it_seed256_post_em",
      "hf://superkaiba1/c_lang_inv_it_fr_seed137_post_em",
      "hf://superkaiba1/c_lang_inv_it_fr_seed256_post_em",
      "hf://datasets/superkaiba1/explore-persona-space-data/eval_results/issue333/summary_5phrasings_*.json",
      "hf://datasets/superkaiba1/explore-persona-space-data/eval_results/issue333/per_row_labels_*.jsonl",
      "hf://datasets/superkaiba1/explore-persona-space-data/eval_results/issue333/comparison_5phrasings.json",
      "hf://datasets/superkaiba1/explore-persona-space-data/eval_results/issue333/dataset_symmetry_summary.json",
      "hf://datasets/superkaiba1/explore-persona-space-data/eval_results/issue333/kl_probes.json"
    ]
  },
  "gpuType": "H100",
  "gpuCount": 1,
  "volumeGb": 200,
  "cloudType": "SECURE",
  "dockerArgs": "bash -lc 'cd /workspace/explore-persona-space && uv run python scripts/run_issue333_train_eval.py'",
  "consolidation": {
    "may_merge_pods": true,
    "merge_target_max_gpus_per_pod": 8
  },
  "containerDiskGb": 100,
  "estimatedMinutes": 1260,
  "substitution_policy": {
    "account": {
      "prefer": "personal",
      "allowed": [
        "personal",
        "team"
      ]
    },
    "gpuType": {
      "allowed": [
        "H100",
        "H200",
        "A100-SXM"
      ],
      "min_vram_gb": 80
    },
    "gpuCount": {
      "max": 1,
      "min": 1
    },
    "volumeGb": {
      "min": 150
    },
    "cloudType": {
      "prefer": "SECURE",
      "allowed": [
        "SECURE",
        "COMMUNITY"
      ]
    },
    "dataCenterId": {
      "prefer": [
        "US-CA-2",
        "EU-RO-1",
        "US-KS-2"
      ],
      "allowed": "any"
    },
    "containerDiskGb": {
      "min": 80
    }
  }
}
podStatus: None
podId: None
parent: None

tool=Bash

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+ exp-333-fr-it-symmetry
  remotes/origin/exp-333-fr-it-symmetry
Shell cwd was reset to /home/thomasjiralerspong/sagan

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13bff7b1 Issue #333 round-3 fixes: correct HF dataset path, surface real errors, drop deprecated kwarg
54ad9a65 Issue #333 round-2 fixes: correct bystander-rate math, hard-fail eval errors, align artifact names with pod_spec
3a8d6e01 issue #333: FR<->IT symmetry train+eval orchestrator + 5-phrasing eval
125e78f8 Add TrainLoraConfig.backend flag scaffold for Unsloth adoption
a4652b62 Route EPS workflow state through Sagan
4129f88d Add Sagan pod progress reporting guidance
d0db2db7 Complete Sagan workflow migration
3c307bd7 WIP catch-up: agent memory, agent-spec edits, external/* updates, experiment results, scripts
22d1913c Sagan-migration audit: port four GitHub-writing scripts + skills to Sagan API; normalize status enum to snake_case
475b4fa5 verify_sagan_card.py + Sagan-card lenses on clean-result-critic ensemble
---
#!/usr/bin/env python3
"""Issue #333 — FR<->IT bystander-spill direction symmetry test.

Single-pod entrypoint that trains 4 new LoRA adapters (seeds 137 & 256 for
both c_lang_inv_fr_it and c_lang_inv_it_fr), runs a KL-from-base probe on
---
13bff7b1a29ebfa3821e02d05061e521bb98e9f2
Shell cwd was reset to /home/thomasjiralerspong/sagan

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

tool=Bash

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Traceback (most recent call last):
  File "<string>", line 1, in <module>
  File "/usr/lib/python3.10/json/__init__.py", line 293, in load
    return loads(fp.read(),
  File "/usr/lib/python3.10/json/__init__.py", line 346, in loads
    return _default_decoder.decode(s)
  File "/usr/lib/python3.10/json/decoder.py", line 337, in decode
    obj, end = self.raw_decode(s, idx=_w(s, 0).end())
  File "/usr/lib/python3.10/json/decoder.py", line 355, in raw_decode
    raise JSONDecodeError("Expecting value", s, err.value) from None
json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0)

tool=ToolSearch

ToolSearch

tool=TodoWrite

TodoWrite

Todos have been modified successfully. Ensure that you continue to use the todo list to track your progress. Please proceed with the current tasks if applicable

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(Bash completed with no output)

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HTTP=405

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Traceback (most recent call last):
  File "<string>", line 2, 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=Grep

Grep

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/home/thomasjiralerspong/sagan/apps/web/.next/dev/server/app/api
/home/thomasjiralerspong/sagan/apps/web/.next/server/app/api
/home/thomasjiralerspong/sagan/apps/web/app/api
app
data
eslint.config.mjs
next-env.d.ts
next.config.ts
node_modules
package.json
postcss.config.mjs
proxy.ts
public
src
tsconfig.json
tsconfig.tsbuildinfo
vercel.json
{answer}

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/home/thomasjiralerspong/sagan/apps/web/app/api/agent-runs/[id]/events/route.ts
/home/thomasjiralerspong/sagan/apps/web/app/api/pipeline/events/route.ts
/home/thomasjiralerspong/sagan/apps/web/app/api/experiments/[id]/workflow-events/route.ts

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HTTP=405

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Read

1	import { NextResponse } from 'next/server';
2	import { eq } from 'drizzle-orm';
3	import { z } from 'zod';
4	import { experiments } from '@sagan/db/schema';
5	import { db } from '@/lib/db';
6	import { requireOwner } from '@/lib/access';
7	import { appendWorkflowEvent } from '@/lib/workflow';
8	import { isKnownMarkerType, validateReviewerLoopEvent } from '@/lib/reviewer-loops';
9	
10	const WORKFLOW_EVENT_TYPES = [
11	  'created',
12	  'state_changed',
13	  'approval_requested',
14	  'approved',
15	  'deferred',
16	  'rejected',
17	  'blocked',
18	  'note',
19	] as const;
20	
21	const postSchema = z.object({
22	  eventType: z.enum(WORKFLOW_EVENT_TYPES).default('note'),
23	  markerType: z.string().min(1).max(120).optional(),
24	  fromStatus: z.string().max(50).nullable().optional(),
25	  toStatus: z.string().max(50).nullable().optional(),
26	  note: z.string().optional(),
27	  metadata: z.record(z.string(), z.unknown()).optional(),
28	  actorKind: z.string().max(40).default('agent'),
29	});
30	
31	/**
32	 * POST /api/experiments/:id/workflow-events
33	 *
34	 * Append a workflow event for an experiment. Used by the `/issue` skill on the
35	 * VM to record checkpoints in the agent pipeline (planner output, reviewer
36	 * verdict, interpretation critique, etc).
37	 *
38	 * For marker-style events, pass `markerType: "epm:plan"` (or similar) — the
39	 * marker name is stored in `metadata.marker_type` so consumers can scan the
40	 * latest event to decide where to resume.
41	 */
42	export async function POST(req: Request, ctx: { params: Promise<{ id: string }> }) {
43	  let session;
44	  try {
45	    session = await requireOwner();
46	  } catch {
47	    return NextResponse.json({ error: 'owner_required' }, { status: 403 });
48	  }
49	  const { id } = await ctx.params;
50	  const exists = await db()
51	    .select({ id: experiments.id })
52	    .from(experiments)
53	    .where(eq(experiments.id, id))
54	    .limit(1);
55	  if (!exists[0]) return NextResponse.json({ error: 'not_found' }, { status: 404 });
56	
57	  const body = await req.json().catch(() => null);
58	  const parsed = postSchema.safeParse(body);
59	  if (!parsed.success) {
60	    return NextResponse.json(
61	      { error: 'invalid_input', detail: z.treeifyError(parsed.error) },
62	      { status: 400 },
63	    );
64	  }
65	
66	  const { eventType, markerType, fromStatus, toStatus, note, metadata: meta, actorKind } = parsed.data;
67	  if (markerType && !isKnownMarkerType(markerType)) {
68	    return NextResponse.json(
69	      {
70	        error: 'unknown_marker_type',
71	        message: `Marker "${markerType}" is not in KNOWN_MARKER_TYPES. Add it to apps/web/src/lib/reviewer-loops.ts and .claude/workflow.yaml before posting.`,
72	      },
73	      { status: 400 },
74	    );
75	  }
76	  const combinedMetadata = markerType
77	    ? { ...(meta ?? {}), marker_type: markerType }
78	    : meta;
79	  const reviewerLoop = validateReviewerLoopEvent({
80	    markerType,
81	    metadata: combinedMetadata,
82	    toStatus: toStatus ?? null,
83	  });
84	  if (!reviewerLoop.ok) {
85	    return NextResponse.json(
86	      { error: reviewerLoop.error, message: reviewerLoop.message },
87	      { status: 400 },
88	    );
89	  }
90	
91	  const event = await appendWorkflowEvent({
92	    entityKind: 'experiment',
93	    entityId: id,
94	    eventType,
95	    fromStatus: fromStatus ?? null,
96	    toStatus: toStatus ?? null,
97	    actorKind,
98	    actorUserId: session.user.id,
99	    note,
100	    metadata: reviewerLoop.metadata,
101	  });
102	
103	  return NextResponse.json({ ok: true, id: event.id });
104	}
105	

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/home/thomasjiralerspong/sagan/apps/web/src/lib/reviewer-loops.ts

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17:  'epm:code-review',
18:  'epm:code-review-codex',
19:  'epm:review-reconcile',
20:  'epm:interp-critique',
21:  'epm:interp-critique-codex',
22:  'epm:clean-result-critique',
23:  'epm:clean-result-critique-codex',
32:export const KNOWN_MARKER_TYPES = [
33:  'epm:clarify',
34:  'epm:clarify-answers',
35:  'epm:plan',
36:  'epm:consistency',
37:  'epm:experiment-implementation',
38:  'epm:code-review',
39:  'epm:code-review-codex',
40:  'epm:code-review-reconcile',
41:  'epm:review-reconcile',
42:  'epm:reviewer-verdict',
43:  'epm:reviewer-verdict-codex',
44:  'epm:textbox-answers',
45:  'epm:reviewer-pass',
46:  'epm:reviewer-decision',
47:  'epm:reviewer-ensemble-final',
48:  'epm:test-verdict',
49:  'epm:preflight',
50:  'epm:launch',
51:  'epm:progress',
52:  'epm:results',
53:  'epm:upload-verification',
54:  'epm:interpretation',
55:  'epm:interp-critique',
56:  'epm:interp-critique-codex',
57:  'epm:interp-revision',
58:  'epm:clean-result',
59:  'epm:clean-result-critique',
60:  'epm:clean-result-critique-codex',
61:  'epm:clean-result-critique-reconcile',
62:  'epm:clean-result-lint',
63:  'epm:follow-ups',
64:  'epm:awaiting-promotion',

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65:  'epm:promoted',
66:  'epm:done',
67:  'epm:failure',
68:  'epm:failure-classify',
69:  'epm:failure-superseded',
70:  'epm:hot-fix',
71:  'epm:hot-fix-needed',
72:  'epm:pod-pending',
73:  'epm:pod-terminated',
74:  'epm:pod-kept-stopped',
75:  'epm:dispatch',
76:  'epm:dispatch-blocked',
77:  'epm:experimenter-respawn',
78:  'epm:experimenter-status',
79:  'epm:gate',
80:  'epm:gate-verdict',
81:  'epm:gate-override',
82:  'epm:approval',
83:  'epm:approve',
84:  'epm:override',
85:  'epm:override-round-',
86:  'epm:user-decision',
87:  'epm:user-decision-n',
88:  'epm:user-feedback',
89:  'epm:auto-defaults',
90:  'epm:completion-audit',
91:  'epm:consistency',
92:  'epm:original-body',
93:  'epm:body-backup',
94:  'epm:analysis',
95:  'epm:step',
96:  'epm:step-completed',
97:  'epm:phase',
98:  'epm:note',
99:  'epm:correction',
100:  'epm:revise',
101:  'epm:fact-check-v',
102:  'epm:smoke-test',
103:  'epm:scope-amendment',
104:  'epm:scope-change',
105:  'epm:scope-update',
106:  'epm:amendment',
107:  'epm:type-relabel',
108:  'epm:absorbed',
109:  'epm:merged',
110:  'epm:closed',
111:  'epm:stale',
112:  'epm:abort',
113:  'epm:blocked',
114:  'epm:rebase',
115:  'epm:cleanresult-update',

tool=Bash

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id: f92bc268-a795-42e3-86ed-e018159cb25e
kind: experiment
status: completed
request: [auto-recovery-for:65c0335a-8db7-46d1-9a40-6cb370c160a6]

The previous Claude Code run failed or crashed.

First diagnose why it stopped using the transcript below. Then fix or work around the problem
createdAt: 2026-05-14T10:45:53.807Z

tool=TodoWrite

TodoWrite

Todos have been modified successfully. Ensure that you continue to use the todo list to track your progress. Please proceed with the current tasks if applicable

tool=Bash

Bash

{
  "id": "bd36e5b5-9656-4a5c-8ede-a715d9584188",
  "ok": true
}

tool=Bash

Bash

{
  "id": "1c576a84-ba7d-4269-8c60-d90f45607cc1",
  "ok": true
}

Now patch the podSpec to add `SAGAN_EPS_BRANCH` and `SAGAN_EPS_COMMIT_SHA` to env, then transition to running.

tool=Bash

Bash

Patched env: {
  "SAGAN_EPS_BRANCH": "exp-333-fr-it-symmetry",
  "SAGAN_EPS_COMMIT_SHA": "13bff7b1a29ebfa3821e02d05061e521bb98e9f2"
}
status: 200
body: {"ok":true,"experiment":{"id":"3283d57a-7845-4fb7-945c-6e654f7000dd","title":"Test FR↔IT bystander-spill symmetry at multi-seed + 5 phrasings — pooled-rate vs per-phrasing asymmetry from #239 fact-check","status":"implementing","turn":"Sagan turn: run and verify"}}

tool=Bash

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{
  "experiment": {
    "id": "3283d57a-7845-4fb7-945c-6e654f7000dd",
    "status": "running",
    "title": "Test FR\u2194IT bystander-spill symmetry at multi-seed + 5 phrasings \u2014 pooled-rate vs per-phrasing asymmetry from #239 fact-check",
    "turn": "Sagan turn: run and verify"
  },
  "ok": true
}

tool=Bash

Bash

{
  "id": "b6eb9bd5-0dec-4633-bfbd-15e3f94ab22e",
  "ok": true
}

tool=TodoWrite

TodoWrite

Todos have been modified successfully. Ensure that you continue to use the todo list to track your progress. Please proceed with the current tasks if applicable

tool=Agent

Agent

tool=Read

Read

1	---
2	name: feedback-spec-json-quoting
3	description: Write --spec-json content to a temp file and cat it into the variable; heredoc expansion introduces a leading newline that fails JSON parsing at position 1
4	metadata:
5	  type: feedback
6	---
7	
8	When passing --spec-json to pod-tool attempt, do NOT use a heredoc directly in the variable assignment. The heredoc introduces a leading newline which makes pod-tool report "Expected property name or '}' in JSON at position 1" and exit 2.
9	
10	**Why:** The shell heredoc places a newline at the very start of the variable value before the opening `{`.
11	
12	**How to apply:** Write the JSON to a temp file (`/tmp/specNNN.json`) with `cat > /tmp/specNNN.json << 'SPECEOF'`, validate with `python3 -c "import json,sys; json.load(open('/tmp/specNNN.json'))"`, then compact to a single line with `SPEC=$(python3 -c "import json; print(json.dumps(json.load(open('/tmp/specNNN.json'))))")` and pass `--spec-json "$SPEC"`. Do NOT use `SPEC=$(cat /tmp/specNNN.json)` — the embedded literal newlines in the heredoc-written file still cause the same parse failure at position 1. The `python3 json.dumps` step is mandatory to collapse the JSON to one line.
13	

tool=Read

Read

1	---
2	name: feedback-agent-run-kind-mismatch
3	description: pod-tool attempt/commit require kind=experiment; orchestrator passes its own kind=apply run id — create a new experiment-kind row when needed
4	metadata:
5	  type: feedback
6	---
7	
8	pod-tool `attempt` and `commit` hard-require `kind=experiment` on the agent_run passed via `--agent-run-id`. The experiment-orchestrator passes its *own* agent_run id, which has `kind=apply`. This causes a fatal error: `agent_run <id> kind=apply; pod-tool attempt requires kind=experiment`.
9	
10	**Why:** pod-tool enforces kind=experiment as a guard to prevent applying pod commits to the wrong run type.
11	
12	**How to apply:** When the orchestrator's agentRunId has `kind=apply`, INSERT a new agent_run row with `kind='experiment'`, `status='running'`, `scope_entity_kind='experiment'`, `scope_entity_id=<experimentId>`, `runpod_account='team'`, `approval_required=false`, and a request string referencing the orchestrator run. Use the new row's id for all pod-tool calls. SQL:
13	
14	```sql
15	INSERT INTO agent_runs (kind, provider, status, request, scope_entity_kind, scope_entity_id, runpod_account, approval_required)
16	VALUES ('experiment', 'claude_code', 'running', 'pod-provisioner dispatch for experiment #<N> — orchestrator run <apply-run-id>', 'experiment', '<experimentId>', 'team', false)
17	RETURNING id;
18	```
19	
20	Related: [[spec-json quoting gotcha]]
21	

tool=Bash

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                  id                  |    kind    |  status   | scope_entity_kind |           scope_entity_id            
--------------------------------------+------------+-----------+-------------------+--------------------------------------
 f92bc268-a795-42e3-86ed-e018159cb25e | experiment | completed | experiment        | 3283d57a-7845-4fb7-945c-6e654f7000dd
(1 row)

tool=Bash

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                  id                  
--------------------------------------
 32e93989-504f-4beb-a190-6585b45bbaa6
(1 row)

INSERT 0 1

tool=Bash

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JSON valid

tool=Bash

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SPEC length: 1596
First 80 chars: {"name": "exp333-fr-it-symmetry-multi-seed-5phrasing", "gpuType": "H100", "gpuCo

tool=Bash

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tool=Bash

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Exit code: 0
=== STDOUT ===

> @sagan/runner@0.0.0 pod-tool /home/thomasjiralerspong/sagan/services/runner
> tsx scripts/pod-tool.ts "attempt" "--agent-run-id" "32e93989-504f-4beb-a190-6585b45bbaa6" "--run-index" "0" "--spec-json" "{\"name\": \"exp333-fr-it-symmetry-multi-seed-5phrasing\", \"gpuType\": \"H100\", \"gpuCount\": 1, \"volumeGb\": 200, \"containerDiskGb\": 100, \"cloudType\": \"SECURE\", \"estimatedMinutes\": 1260, \"dockerArgs\": \"bash -lc 'cd /workspace/explore-persona-space && uv run python scripts/run_issue333_train_eval.py'\", \"config\": {\"command\": \"uv run python scripts/run_issue333_train_eval.py\", \"artifacts\": [\"hf://superkaiba1/c_lang_inv_fr_it_seed137_post_em\", \"hf://superkaiba1/c_lang_inv_fr_it_seed256_post_em\", \"hf://superkaiba1/c_lang_inv_it_fr_seed137_post_em\", \"hf://superkaiba1/c_lang_inv_it_fr_seed256_post_em\", \"hf://datasets/superkaiba1/explore-persona-space-data/eval_results/issue333/summary_5phrasings_*.json\", \"hf://datasets/superkaiba1/explore-persona-space-data/eval_results/issue333/per_row_labels_*.jsonl\", \"hf://datasets/superkaiba1/explore-persona-space-data/eval_results/issue333/comparison_5phrasings.json\", \"hf://datasets/superkaiba1/explore-persona-space-data/eval_results/issue333/dataset_symmetry_summary.json\", \"hf://datasets/superkaiba1/explore-persona-space-data/eval_results/issue333/kl_probes.json\"]}, \"substitution_policy\": {\"gpuType\": {\"allowed\": [\"H100\", \"H200\", \"A100-SXM\"], \"min_vram_gb\": 80}, \"gpuCount\": {\"min\": 1, \"max\": 1}, \"cloudType\": {\"allowed\": [\"SECURE\", \"COMMUNITY\"], \"prefer\": \"SECURE\"}, \"dataCenterId\": {\"allowed\": \"any\", \"prefer\": [\"US-CA-2\", \"EU-RO-1\", \"US-KS-2\"]}, \"account\": {\"allowed\": [\"personal\", \"team\"], \"prefer\": \"personal\"}, \"volumeGb\": {\"min\": 150}, \"containerDiskGb\": {\"min\": 80}}, \"consolidation\": {\"may_merge_pods\": true, \"merge_target_max_gpus_per_pod\": 8}}" "--account" "personal"

{"ok":true,"pod":{"podId":"cv13x9s487tvwn","name":"exp333-fr-it-symmetry-multi-seed-5phrasing","gpuTypeId":"NVIDIA H100 80GB HBM3","gpuCount":1,"desiredStatus":"RUNNING","sshHost":null,"sshPort":null,"costPerHr":2.99,"adjustedCostPerHr":2.99},"podLifecycleId":"affe9684-7f94-4d47-9104-b35764442a04","sagaRunId":"10986144-4dcc-4b01-bcb2-a59e63a657c4","account":"personal"}
=== STDERR ===

tool=Bash

Bash

Exit code: 0
=== STDOUT ===

> @sagan/runner@0.0.0 pod-tool /home/thomasjiralerspong/sagan/services/runner
> tsx scripts/pod-tool.ts "commit" "--agent-run-id" "32e93989-504f-4beb-a190-6585b45bbaa6"

{"ok":true,"podIds":["j0xvy1q82ryo8m","cv13x9s487tvwn"],"count":2}
=== STDERR ===

Commit succeeded. The response shows `podIds: ["j0xvy1q82ryo8m", "cv13x9s487tvwn"]` — the watcher picked up both the pod from this r5 attempt plus an earlier pod lifecycle row. The run has been flipped to `deploying` and the `deploy_completed` event has been emitted; the runner watcher will now monitor the pod to terminal status.

committed 1 pod(s): cv13x9s487tvwn (personal account, NVIDIA H100 80GB HBM3 × 1, $2.99/hr, agent_run r5 = 32e93989-504f-4beb-a190-6585b45bbaa6)
agentId: abd8a817646a0f434 (use SendMessage with to: 'abd8a817646a0f434' to continue this agent)
<usage>total_tokens: 28367
tool_uses: 9
duration_ms: 57812</usage>

Pod committed on personal account (`cv13x9s487tvwn`, H100 80GB HBM3 × 1, $2.99/hr). Verifying the experiment record + handing off.

tool=Bash

Bash

status: running
runpodPodId: None
runpodStatus: None

tool=Bash

Bash

25478043-98d9-4b00-b3a0-1b67d55bbeab | experiment | running | 3ckal7me4jd4a7 | [direct-dispatch:A100:r5:exp#333]
9d0e1c70-2f3e-414e-ae10-0b655086eca5 | apply | completed | None | experiment-orchestrator-for:6e8a0593-c1f6-45b3-9dd0-7a89618006df

A100 r5 (be pa
c5b75089-0616-4511-b13f-de13c8f5a4c2 | apply | completed | None | experiment-orchestrator-for:25478043-98d9-4b00-b3a0-1b67d55bbeab

A100 r5 (be pa
d5baba15-ac63-4e95-a9d7-405b0f10a979 | apply | completed | None | experiment-orchestrator-for:3d8f3042-6224-41c8-873e-fc9932d4e0bf

A100 r5 (be pa

tool=Bash

Bash

id: 32e93989-504f-4beb-a190-6585b45bbaa6
kind: experiment
status: running
runpodPodId: j0xvy1q82ryo8m
request: pod-provisioner r5 dispatch for experiment #333 (fr-it bystander-spill symmetry) — parent run f92bc268-a795-42e3-86ed-e018159cb25e — switching account prefer to personal after r1-r4 pod disappearance 
createdAt: 2026-05-14T10:53:09.382Z

tool=Bash

Bash

9d0e1c70 | apply    | completed    | pod=None | 2026-05-14T10:53:14 | experiment-orchestrator-for:6e8a0593-c1f6-45b3-9dd0-7a896180
c5b75089 | apply    | completed    | pod=None | 2026-05-14T10:53:14 | experiment-orchestrator-for:25478043-98d9-4b00-b3a0-1b67d55b
d5baba15 | apply    | completed    | pod=None | 2026-05-14T10:53:14 | experiment-orchestrator-for:3d8f3042-6224-41c8-873e-fc9932d4
25478043 | experime | cancelled    | pod=3ckal7me4jd4a7 | 2026-05-14T10:53:14 | [direct-dispatch:A100:r5:exp#333]
6e8a0593 | experime | cancelled    | pod=m1ayhl6nsbxw04 | 2026-05-14T10:53:14 | [direct-dispatch:A100:r5:exp#363]
3d8f3042 | experime | cancelled    | pod=v0c7bx292xqvg4 | 2026-05-14T10:53:14 | [direct-dispatch:A100:r5:exp#192]
32e93989 | experime | cancelled    | pod=j0xvy1q82ryo8m | 2026-05-14T10:53:09 | pod-provisioner r5 dispatch for experiment #333 (fr-it bysta
d8bcdbf4 | apply    | cancelled    | pod=None | 2026-05-14T10:49:22 | experiment-orchestrator-for:f92bc268-a795-42e3-86ed-e018159c
4671ee1f | experime | completed    | pod=None | 2026-05-14T10:45:54 | [auto-recovery-for:0a864550-8cf2-4d55-8ae8-9222612ab675]

Th
6c477324 | experime | completed    | pod=None | 2026-05-14T10:45:54 | [auto-recovery-for:02f3076f-dca1-4850-86f9-56532961355c]

Th
f92bc268 | experime | completed    | pod=None | 2026-05-14T10:45:53 | [auto-recovery-for:65c0335a-8db7-46d1-9a40-6cb370c160a6]

Th
5e0426ad | experime | completed    | pod=None | 2026-05-14T10:45:53 | [auto-recovery-for:0b44ece6-2f62-4dc1-beef-ba2739f661b1]

Th
9e039246 | experime | cancelled    | pod=lqpfpmbytlgded | 2026-05-14T10:44:01 | [test-short-dockerArgs:#366]
315eb8d7 | apply    | completed    | pod=None | 2026-05-14T10:44:01 | experiment-orchestrator-for:9e039246-73d2-4abc-909f-9d6cbe4c
910a65d6 | experime | cancelled    | pod=j18eiux6ccekyj | 2026-05-14T10:39:59 | [direct-dispatch:A100:r4:exp#365]

tool=Bash

Bash

status: blocked
runpodPodId: None
runpodStatus: None
updatedAt: 2026-05-14T10:54:28.540Z
podSpec.env: {"SAGAN_EPS_BRANCH": "exp-333-fr-it-symmetry", "SAGAN_EPS_COMMIT_SHA": "13bff7b1a29ebfa3821e02d05061e521bb98e9f2"}

tool=Bash

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tool=Bash

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event: event
data: {"id":"0bf2108e-8704-463a-93e5-eafa700e1f76","runId":"32e93989-504f-4beb-a190-6585b45bbaa6","eventType":"pod_provisioner_attempt","body":"gpu=H100x1 cloud=SECURE account=personal","

tool=Bash

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2026-05-14T10:53:33 | pod_provisioner_attempt | gpu=H100x1 cloud=SECURE account=personal
2026-05-14T10:53:35 | deploy_pod_started | j0xvy1q82ryo8m
2026-05-14T10:53:41 | pod_provisioner_attempt | gpu=H100x1 cloud=SECURE account=personal
2026-05-14T10:53:42 | deploy_pod_started | cv13x9s487tvwn
2026-05-14T10:53:48 | deploy_completed | pod-provisioner committed 2 pod(s)
2026-05-14T10:53:55 | runpod_status | RUNNING
2026-05-14T10:53:55 | runpod_status | RUNNING
2026-05-14T10:54:54 | runpod_retry | Pod j0xvy1q82ryo8m not found in account=personal
2026-05-14T10:54:55 | runpod_retry | Pod cv13x9s487tvwn not found in account=personal
 | None | 
2026-05-14T10:54:55 | runpod_retry | Pod cv13x9s487tvwn not found in account=personal
 | None |

tool=TodoWrite

TodoWrite

Todos have been modified successfully. Ensure that you continue to use the todo list to track your progress. Please proceed with the current tasks if applicable

Pod-loss pattern just reproduced on the **personal** account too — pods `j0xvy1q82ryo8m` and `cv13x9s487tvwn` both went RUNNING at 10:53:55, then disappeared from `account=personal` API view at 10:54:54 (under 60s of RUNNING). This is the same pattern as r1–r4 on `team`, now cross-account. The runner watcher has already flipped the experiment to `blocked`. Per the orchestrator failure protocol, posting `epm:failure` with the diagnosis.

tool=Bash

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{
  "id": "b8d12205-b220-4b65-b01d-1c7026536e8f",
  "ok": true
}

tool=TodoWrite

TodoWrite

Todos have been modified successfully. Ensure that you continue to use the todo list to track your progress. Please proceed with the current tasks if applicable

## Summary

Experiment #333 recovery dispatch (r5) executed end-to-end through the orchestrator pipeline, but **reproduced the same pod-disappearance pattern on the personal account** that motivated the swap away from team — so the workaround did not work and the experiment is now `blocked` for human investigation.

**What ran:**
- Verified branch `exp-333-fr-it-symmetry` @ `13bff7b1` (round-3 fixes) was pushed to origin with `scripts/run_issue333_train_eval.py` intact.
- Posted `epm:experiment-implementation` + `epm:test-verdict` carry-forward markers (prior cycles already passed code-review + tests; plan body explicitly waives critic loops on this re-emit).
- Patched `pod_spec.env` with `SAGAN_EPS_BRANCH=exp-333-fr-it-symmetry` and `SAGAN_EPS_COMMIT_SHA=13bff7b1…` so the dispatcher's bootstrap clones the right ref.
- Transitioned `implementing → running` and posted `epm:dispatch`.
- Spawned `pod-provisioner` — it committed 2 pods (`j0xvy1q82ryo8m`, `cv13x9s487tvwn`) on the **personal** account, H100 80GB SXM, $2.99/hr.

**What failed:**
- Both pods went RUNNING at 10:53:55Z, then disappeared from `account=personal` API view at 10:54:54Z — **<60s of RUNNING**, identical to the r1–r4 team-account pattern. A sibling direct-dispatch r5 run (`25478043`, A100 pod `3ckal7me4jd4a7`) failed the same way in the same window.
- Runner watcher auto-cancelled the agent_runs and flipped the experiment to `blocked`.
- Posted `epm:failure` with the cross-account diagnosis.

**This is now out of orchestrator scope.** The plan body's "Manual next action if personal also fails" applies: inspect the RunPod web console for both accounts around 10:53:35Z–10:55Z to determine whether RunPod is terminating pods server-side or whether the runner has a stale view; audit `agent_run_events` for an unexpected `pod_stop` source. The branch and pod_spec are intact and re-dispatchable the moment the underlying RunPod-side or runner-side cause is resolved.

<<<DONE>>>

success

## Summary

Experiment #333 recovery dispatch (r5) executed end-to-end through the orchestrator pipeline, but **reproduced the same pod-disappearance pattern on the personal account** that motivated the swap away from team — so the workaround did not work and the experiment is now `blocked` for human investigation.

**What ran:**
- Verified branch `exp-333-fr-it-symmetry` @ `13bff7b1` (round-3 fixes) was pushed to origin with `scripts/run_issue333_train_eval.py` intact.
- Posted `epm:experiment-implementation` + `epm:test-verdict` carry-forward markers (prior cycles already passed code-review + tests; plan body explicitly waives critic loops on this re-emit).
- Patched `pod_spec.env` with `SAGAN_EPS_BRANCH=exp-333-fr-it-symmetry` and `SAGAN_EPS_COMMIT_SHA=13bff7b1…` so the dispatcher's bootstrap clones the right ref.
- Transitioned `implementing → running` and posted `epm:dispatch`.
- Spawned `pod-provisioner` — it committed 2 pods (`j0xvy1q82ryo8m`, `cv13x9s487tvwn`) on the **personal…