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Run 67f66af5

experiment-clean-result-for:3f383b52-5aa8-43d8-97c2-5befaf18d5b6

Statuscompleted124 events · latest 1334h 48m ago

RunPod lifecycle

Stop requests preserve the attached RunPod volume.

RunPods
wandb_artifactverifiedhttps://wandb.ai/thomasjiralerspong/explore-persona-space/runs/gargccs6
wandb_artifactverifiedhttps://wandb.ai/thomasjiralerspong/explore-persona-space/artifacts/eval-results/issue267-results/v0

Events

12:25:14 AMstartedagent
kind=apply
12:26:00 AMtool_calltools

tool=Bash

Bash
12:26:06 AMtool_resulttools
import-from-github.ts
restart-runner.sh
revise-exp-077ae4c7.mjs
revise-exp-077ae4c7.ts
sagan_state.py
verify-eps-workflow.mjs
wipe-experiments.sql
12:26:09 AMtool_calltools

tool=Bash

Bash
12:26:11 AMtool_resulttools
/bin/bash: line 4: python: command not found
12:26:15 AMtool_calltools

tool=Bash

Bash
12:26:19 AMtool_resulttools
usage: sagan_state.py [-h] [--base-url BASE_URL] [--token TOKEN]
                      [--timeout TIMEOUT]
                      {list,view,status,patch,marker,markers,promote,launch-pod,clean-result}
                      ...

Sagan workflow-state HTTP client

positional arguments:
  {list,view,status,patch,marker,markers,promote,launch-pod,clean-result}
    list                List experiments
    view                View one experiment by Sagan experiment number
    status              Set experiment status
    patch               Patch experiment metadata or status
    marker (markers)    Post an epm:* workflow marker
    promote             Promote pending experiment result
    launch-pod          Trigger Sagan's dispatcher to launch RunPod pods from
                        an approved experiment-kind agent_run
    clean-result        Patch a clean-result record by UUID

options:
  -h, --help            show this help message and exit
  --base-url BASE_URL   Sagan base URL; defaults to SAGAN_BASE_URL or
                        NEXT_PUBLIC_SITE_URL
  --token TOKEN         Bearer token; defaults to SAGAN_API_TOKEN
  --timeout TIMEOUT
12:26:22 AMtool_calltools

tool=Bash

Bash
12:26:26 AMtool_resulttools
usage: sagan_state.py clean-result [-h] [--title TITLE] [--claim CLAIM]
                                   [--body-md BODY_MD]
                                   [--body-md-file BODY_MD_FILE]
                                   [--confidence {LOW,MODERATE,HIGH}]
                                   [--status {approved,archived,blocked,draft,reviewing}]
                                   clean_result_id

positional arguments:
  clean_result_id

options:
  -h, --help            show this help message and exit
  --title TITLE
  --claim CLAIM
  --body-md BODY_MD
  --body-md-file BODY_MD_FILE
  --confidence {LOW,MODERATE,HIGH}
  --status {approved,archived,blocked,draft,reviewing}
12:26:30 AMtool_calltools

tool=Bash

Bash
12:26:31 AMtool_resulttools
SAGAN_API_TOKEN length: 46
NEXT_PUBLIC_SITE_URL: https://sagan.superkaiba.com
SAGAN_BASE_URL:
12:26:36 AMtool_calltools

tool=Bash

Bash
12:26:38 AMtool_resulttools
<persisted-output>
Output too large (29.3KB). Full output saved to: /home/thomasjiralerspong/.claude/projects/-home-thomasjiralerspong-sagan/a0fcb1d3-2763-43f1-8b6b-562876419706/tool-results/bt5p086f1.txt

Preview (first 2KB):
{"experiment":{"id":"3f383b52-5aa8-43d8-97c2-5befaf18d5b6","number":224,"legacyGhNumber":224,"beliefId":null,"projectId":null,"title":"[ZLT] persona-marker emission is not a training-induced attention pattern or a learned residual-stream direction — base Qwen on identical tokens attends the same way, and a norm-matched random direction elicits the marker at least as well as the trained centroid (LOW confidence)","body":"<style>\n.cr-g { max-width: 760px; margin: 0 auto; line-height: 1.55; color: #222; }\n.cr-g h1, .cr-g h2 { font-weight: 700; color: #111; }\n.cr-g h2 { font-size: 1.15rem; margin-top: 1.6rem; margin-bottom: 0.6rem; }\n.cr-g .tldr ul { padding-left: 1.2rem; }\n.cr-g .tldr li { margin-bottom: 0.55rem; }\n.cr-g .tldr li ul li { margin-bottom: 0.3rem; }\n.cr-g figure { margin: 1.3rem 0 1.5rem 0; }\n.cr-g figure svg { width: 100%; height: auto; display: block; border: 1px solid #eee; border-radius: 4px; background: #fff; }\n.cr-g figcaption { font-size: 0.92rem; color: #555; margin-top: 0.5rem; }\n.cr-g details { margin: 1.2rem 0; border: 1px solid #ddd; border-radius: 6px; padding: 0.6rem 0.9rem; background: #fafafa; }\n.cr-g details > summary { font-weight: 600; cursor: pointer; color: #111; }\n.cr-g details > div { margin-top: 0.6rem; }\n.cr-g pre { background: #f6f6f6; padding: 0.7rem 0.9rem; border-radius: 4px; overflow-x: auto; font-size: 0.85rem; line-height: 1.45; }\n.cr-g table.setup { border-collapse: collapse; margin-top: 0.6rem; font-size: 0.92rem; }\n.cr-g table.setup th, .cr-g table.setup td { padding: 0.5rem 0.8rem; border: 1px solid #ddd; vertical-align: top; }\n.cr-g table.setup th { background: #f3f3f3; text-align: left; border-right: 2px solid #ccc; font-weight: 600; }\n.cr-g code { background: #f3f3f3; padding: 0.05rem 0.3rem; border-radius: 3px; font-size: 0.88rem; }\n.cr-g a { color: #1a5fb4; }\n</style>\n\n<div class=\"cr-g\">\n\n<section id=\"tldr\" class=\"tldr\">\n<h2>TL;DR</h2>\n<ul>\n  <li><strong>Motivation.</strong> Prior wor
...
</persisted-output>
12:26:42 AMtool_calltools

tool=Bash

Bash
12:26:43 AMtool_resulttools
Exit code 1
Traceback (most recent call last):
  File "<string>", line 3, in <module>
  File "/usr/lib/python3.10/json/__init__.py", line 293, in load
    return loads(fp.read(),
  File "/usr/lib/python3.10/json/__init__.py", line 346, in loads
    return _default_decoder.decode(s)
  File "/usr/lib/python3.10/json/decoder.py", line 337, in decode
    obj, end = self.raw_decode(s, idx=_w(s, 0).end())
  File "/usr/lib/python3.10/json/decoder.py", line 353, in raw_decode
    obj, end = self.scan_once(s, idx)
json.decoder.JSONDecodeError: Invalid control character at: line 1 column 30021 (char 30020)
12:26:48 AMtool_calltools

tool=Bash

Bash
12:26:48 AMtool_resulttools
Exit code 1
Traceback (most recent call last):
  File "<string>", line 3, in <module>
  File "/usr/lib/python3.10/json/__init__.py", line 359, in loads
    return cls(**kw).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 353, in raw_decode
    obj, end = self.scan_once(s, idx)
json.decoder.JSONDecodeError: Unterminated string starting at: line 1 column 424 (char 423)
12:26:56 AMtool_calltools

tool=Bash

Bash
12:26:57 AMtool_resulttools
-rw-r--r-- 1 thomasjiralerspong thomasjiralerspong 143887 May 14 00:26 /tmp/exp224.json
Title: [ZLT] persona-marker emission is not a training-induced attention pattern or a learned residual-stream direction — base Qwen on identical tokens attends the same way, and a norm-matched random directi
Status: clean_result_drafting
Number: 224

Top keys: ['experiment', 'events', 'approvalRequests']
Runs: 0
12:27:00 AMtool_calltools

tool=Bash

Bash
12:27:00 AMtool_resulttools
Experiment keys: ['id', 'number', 'legacyGhNumber', 'beliefId', 'projectId', 'title', 'body', 'hypothesis', 'planMd', 'planJson', 'podSpec', 'configYaml', 'status', 'kind', 'computeSize', 'priority', 'assigneeKind', 'tags', 'hasCleanResult', 'autoApprovePlan', 'parentExperimentId', 'runpodAccount', 'convertedToKind', 'convertedToId', 'createdAt', 'updatedAt', 'turn']
12:27:03 AMtool_calltools

tool=ToolSearch

ToolSearch
12:27:03 AMtool_resulttools
12:27:09 AMtool_calltools

tool=TodoWrite

TodoWrite
12:27:09 AMtool_resulttools
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
12:27:12 AMtool_calltools

tool=Glob

Glob
12:27:13 AMtool_resulttools
No files found
12:27:15 AMtool_calltools

tool=Glob

Glob
12:27:15 AMtool_resulttools
apps/web/app/api/clean-results/route.ts
apps/web/app/api/clean-results/[id]/route.ts
apps/web/app/api/clean-results/[id]/share/route.ts
12:27:19 AMtool_calltools

tool=Read

Read
12:27:19 AMtool_resulttools
1	import { NextResponse } from 'next/server';
2	import { desc, eq, inArray } from 'drizzle-orm';
3	import { z } from 'zod';
4	import { cleanResults, cleanResultVersions, runArtifacts } from '@sagan/db/schema';
5	import { db } from '@/lib/db';
6	import { requireOwner } from '@/lib/access';
7	import { appendDailyLogTrailBestEffort } from '@/lib/daily-log-trail';
8	
9	const createSchema = z.object({
10	  title: z.string().min(1).max(300),
11	  claim: z.string().min(1).max(1000),
12	  bodyMd: z.string().min(1).max(100_000),
13	  confidence: z.enum(['LOW', 'MODERATE', 'HIGH']).optional(),
14	  experimentId: z.string().uuid().optional(),
15	  runId: z.string().uuid().optional(),
16	  agentRunId: z.string().uuid().optional(),
17	  artifactIds: z.array(z.string().uuid()).min(1),
18	});
19	
20	export async function GET() {
21	  try {
22	    await requireOwner();
23	  } catch {
24	    return NextResponse.json({ error: 'owner_required' }, { status: 403 });
25	  }
26	  const rows = await db().select().from(cleanResults).orderBy(desc(cleanResults.updatedAt)).limit(100);
27	  return NextResponse.json({ cleanResults: rows });
28	}
29	
30	export async function POST(req: Request) {
31	  let session;
32	  try {
33	    session = await requireOwner();
34	  } catch {
35	    return NextResponse.json({ error: 'owner_required' }, { status: 403 });
36	  }
37	  const body = await req.json().catch(() => null);
38	  const parsed = createSchema.safeParse(body);
39	  if (!parsed.success) {
40	    return NextResponse.json({ error: 'invalid_input', detail: z.treeifyError(parsed.error) }, { status: 400 });
41	  }
42	
43	  const artifactRows = await db()
44	    .select()
45	    .from(runArtifacts)
46	    .where(inArray(runArtifacts.id, parsed.data.artifactIds));
47	  if (artifactRows.length !== parsed.data.artifactIds.length) {
48	    return NextResponse.json({ error: 'artifact_not_found' }, { status: 400 });
49	  }
50	  const unverifiable = artifactRows.find((artifact) => !artifact.uri.trim());
51	  if (unverifiable) {
52	    return NextResponse.json({ error: 'artifact_unverifiable', artifactId: unverifiable.id }, { status: 409 });
53	  }
54	
55	  await db()
56	    .update(runArtifacts)
57	    .set({ status: 'verified', verifiedAt: new Date(), updatedAt: new Date() })
58	    .where(inArray(runArtifacts.id, parsed.data.artifactIds));
59	
60	  const inserted = await db()
61	    .insert(cleanResults)
62	    .values({
63	      title: parsed.data.title,
64	      claim: parsed.data.claim,
65	      bodyMd: parsed.data.bodyMd,
66	      confidence: parsed.data.confidence,
67	      experimentId: parsed.data.experimentId,
68	      runId: parsed.data.runId,
69	      agentRunId: parsed.data.agentRunId,
70	      artifactStatus: 'verified',
71	      status: 'draft',
72	    })
73	    .returning();
74	  const cleanResult = inserted[0]!;
75	  await db().insert(cleanResultVersions).values({
76	    cleanResultId: cleanResult.id,
77	    title: cleanResult.title,
78	    claim: cleanResult.claim,
79	    bodyMd: cleanResult.bodyMd,
80	    confidence: cleanResult.confidence,
81	    authorKind: 'user',
82	    editedBy: session.user.id,
83	  });
84	  await appendDailyLogTrailBestEffort({
85	    action: `Drafted clean result ${cleanResult.id.slice(0, 8)}`,
86	    why: 'A verified artifact-backed clean result draft was created.',
87	    entityKind: 'clean_result',
88	    entityId: cleanResult.id,
89	    actorKind: 'user',
90	    actorUserId: session.user.id,
91	    correlationId: cleanResult.id,
92	  });
93	
94	  return NextResponse.json({ cleanResult, verifiedArtifactIds: artifactRows.map((artifact) => artifact.id) });
95	}
96	
12:27:26 AMtool_calltools

tool=Glob

Glob
12:27:30 AMtool_resulttools
apps/web/app/api/agent-runs/[id]/runpod/stop/route.ts
apps/web/app/api/agent-runs/[id]/route.ts
apps/web/app/api/agent-runs/route.ts
apps/web/app/api/agent-runs/[id]/reject/route.ts
apps/web/app/api/agent-runs/[id]/retry/route.ts
apps/web/app/api/agent-runs/[id]/approve/route.ts
apps/web/app/api/agent-runs/[id]/events/route.ts
apps/web/app/api/agent-runs/[id]/launch-pod/route.ts
apps/web/app/api/agent-runs/[id]/codex-review/route.ts
12:27:33 AMtool_calltools

tool=Read

Read
12:27:33 AMtool_resulttools
1	import { NextResponse } from 'next/server';
2	import { and, desc, eq } from 'drizzle-orm';
3	import { z } from 'zod';
4	import { agentRuns } from '@sagan/db/schema';
5	import { agentRunKindSchema, agentRunStatusSchema, runRequestSchema } from '@sagan/agent-protocol';
6	import { sql } from 'drizzle-orm';
7	import { db } from '@/lib/db';
8	import { requireSession } from '@/lib/auth';
9	import { appendDailyLogTrailBestEffort } from '@/lib/daily-log-trail';
10	
11	const QUEUED_CHANNEL = 'agent_run_queued';
12	const listQuerySchema = z.object({
13	  limit: z.coerce.number().int().min(1).max(200).default(50),
14	  kind: agentRunKindSchema.optional(),
15	  status: agentRunStatusSchema.optional(),
16	});
17	
18	export async function GET(req: Request) {
19	  const session = await getSessionOrResponse();
20	  if (session instanceof NextResponse) return session;
21	
22	  const url = new URL(req.url);
23	  const parsed = listQuerySchema.safeParse({
24	    limit: url.searchParams.get('limit') ?? undefined,
25	    kind: url.searchParams.get('kind') ?? undefined,
26	    status: url.searchParams.get('status') ?? undefined,
27	  });
28	  if (!parsed.success) {
29	    return NextResponse.json({ error: 'invalid_query', detail: z.treeifyError(parsed.error) }, { status: 400 });
30	  }
31	  const { limit, kind, status } = parsed.data;
32	  const filters = [
33	    kind ? eq(agentRuns.kind, kind) : undefined,
34	    status ? eq(agentRuns.status, status) : undefined,
35	  ].filter((condition): condition is NonNullable<typeof condition> => Boolean(condition));
36	
37	  let query = db().select().from(agentRuns).$dynamic();
38	  if (filters.length) query = query.where(and(...filters));
39	  const rows = await query.orderBy(desc(agentRuns.createdAt)).limit(limit);
40	  return NextResponse.json({ runs: rows });
41	}
42	
43	export async function POST(req: Request) {
44	  const session = await getSessionOrResponse();
45	  if (session instanceof NextResponse) return session;
46	
47	  let body: unknown;
48	  try {
49	    body = await req.json();
50	  } catch {
51	    return NextResponse.json({ error: 'invalid_body' }, { status: 400 });
52	  }
53	  const parsed = runRequestSchema.safeParse(body);
54	  if (!parsed.success) {
55	    return NextResponse.json({ error: 'invalid_input', detail: z.treeifyError(parsed.error) }, { status: 400 });
56	  }
57	  const { kind, request, scopeEntityKind, scopeEntityId, chatSessionId, approvalRequired } = parsed.data;
58	  const inserted = await db()
59	    .insert(agentRuns)
60	    .values({
61	      kind,
62	      provider: 'claude_code',
63	      status: 'queued',
64	      request,
65	      scopeEntityKind,
66	      scopeEntityId,
67	      chatSessionId,
68	      approvalRequired,
69	    })
70	    .returning({ id: agentRuns.id });
71	  const runId = inserted[0]!.id;
72	  await db().execute(sql`SELECT pg_notify(${QUEUED_CHANNEL}, ${runId})`);
73	  await appendDailyLogTrailBestEffort({
74	    action: `Dispatched ${kind} agent run ${runId.slice(0, 8)}`,
75	    why: request.slice(0, 500),
76	    entityKind: scopeEntityKind,
77	    entityId: scopeEntityId,
78	    detail: `Approval required: ${approvalRequired ? 'yes' : 'no'}`,
79	    actorKind: 'user',
80	    actorUserId: session.user.id,
81	    agentRunId: runId,
82	    correlationId: runId,
83	  });
84	  return NextResponse.json({ runId });
85	}
86	
87	async function getSessionOrResponse() {
88	  try {
89	    return await requireSession();
90	  } catch {
91	    return NextResponse.json({ error: 'unauthorized' }, { status: 401 });
92	  }
93	}
94	
12:27:40 AMtool_calltools

tool=Bash

Bash
12:27:41 AMtool_resulttools
Total runs: 38
12:27:46 AMtool_calltools

tool=Bash

Bash
12:27:47 AMtool_resulttools
Total runs: 177
  id=67f66af5-9fc9-47bf-8758-fd4bcb65b117 kind=apply status=running createdAt=2026-05-14T00:25:14.220Z
12:27:59 AMtool_calltools

tool=Glob

Glob
12:27:59 AMtool_resulttools
No files found
12:28:01 AMtool_calltools

tool=Glob

Glob
12:28:02 AMtool_resulttools
apps/web/app/api/runs/[id]/route.ts
12:28:04 AMtool_calltools

tool=Read

Read
12:28:05 AMtool_resulttools
1	import { NextResponse } from 'next/server';
2	import { eq } from 'drizzle-orm';
3	import { z } from 'zod';
4	import { runs } from '@sagan/db/schema';
5	import { db } from '@/lib/db';
6	import { requireSession } from '@/lib/auth';
7	import { appendDailyLogTrailBestEffort } from '@/lib/daily-log-trail';
8	
9	const patchSchema = z.object({
10	  notesMd: z.string().max(100_000).optional(),
11	  configYaml: z.string().max(200_000).optional(),
12	  wandbUrl: z.string().url().max(2000).nullable().optional(),
13	  hfUrl: z.string().url().max(2000).nullable().optional(),
14	  classification: z.enum(['pending', 'useful', 'not_useful', 'archived']).optional(),
15	});
16	
17	export async function PATCH(req: Request, ctx: { params: Promise<{ id: string }> }) {
18	  let session;
19	  try {
20	    session = await requireSession();
21	  } catch {
22	    return NextResponse.json({ error: 'unauthorized' }, { status: 401 });
23	  }
24	  const { id } = await ctx.params;
25	  const body = await req.json().catch(() => null);
26	  const parsed = patchSchema.safeParse(body);
27	  if (!parsed.success) {
28	    return NextResponse.json({ error: 'invalid_input', detail: z.treeifyError(parsed.error) }, { status: 400 });
29	  }
30	  const updated = await db()
31	    .update(runs)
32	    .set({ ...parsed.data, updatedAt: new Date() })
33	    .where(eq(runs.id, id))
34	    .returning({ id: runs.id, experimentId: runs.experimentId });
35	  if (!updated[0]) return NextResponse.json({ error: 'not_found' }, { status: 404 });
36	
37	  await appendDailyLogTrailBestEffort({
38	    action: `Updated run ${id.slice(0, 8)}`,
39	    why: 'A user edited run notes, links, or classification through the web API.',
40	    entityKind: 'run',
41	    entityId: id,
42	    detail: `Fields: ${Object.keys(parsed.data).join(', ') || '(none)'}`,
43	    actorKind: 'user',
44	    actorUserId: session.user.id,
45	    correlationId: id,
46	  });
47	
48	  return NextResponse.json({ ok: true });
49	}
50	
12:28:09 AMtool_calltools

tool=Glob

Glob
12:28:09 AMtool_resulttools
No files found
12:28:11 AMtool_calltools

tool=Glob

Glob
12:28:12 AMtool_resulttools
apps/web/app/api/experiments/by-number/[n]/route.ts
apps/web/app/api/experiments/[id]/promote/route.ts
apps/web/app/api/experiments/[id]/workflow-events/route.ts
apps/web/app/api/experiments/[id]/clarification-answers/route.ts
apps/web/app/api/experiments/[id]/improve/route.ts
apps/web/app/api/experiments/[id]/queue-followups/route.ts
apps/web/app/api/experiments/[id]/dispatch-planner/route.ts
apps/web/app/api/experiments/[id]/route.ts
apps/web/app/api/experiments/route.ts
12:28:15 AMtool_calltools

tool=Read

Read
12:28:15 AMtool_resulttools
1	import { NextResponse } from 'next/server';
2	import { and, desc, eq, sql } from 'drizzle-orm';
3	import { z } from 'zod';
4	import { extractPodSpecFromPlanMd } from '@sagan/api';
5	import { agentRuns, approvalRequests, experiments, runs, workflowEvents } from '@sagan/db/schema';
6	import { db } from '@/lib/db';
7	import { requireOwner } from '@/lib/access';
8	import { appendDailyLogTrailBestEffort } from '@/lib/daily-log-trail';
9	import { EXPERIMENT_STATUSES, experimentTurn, setExperimentStatus } from '@/lib/workflow';
10	
11	const EXPERIMENT_CLEAN_RESULT_PREFIX = 'experiment-clean-result-for:';
12	const QUEUED_CHANNEL = 'agent_run_queued';
13	
14	const EXPERIMENT_KINDS = ['experiment', 'infra', 'survey'] as const;
15	const COMPUTE_SIZES = ['none', 'small', 'medium', 'large'] as const;
16	const PRIORITIES = ['low', 'normal', 'high', 'urgent'] as const;
17	const ASSIGNEE_KINDS = ['agent', 'human'] as const;
18	
19	const patchSchema = z.object({
20	  title: z.string().min(1).max(300).optional(),
21	  body: z.string().max(200_000).optional(),
22	  hypothesis: z.string().max(50_000).optional(),
23	  configYaml: z.string().max(200_000).optional(),
24	  status: z.enum(EXPERIMENT_STATUSES).optional(),
25	  kind: z.enum(EXPERIMENT_KINDS).optional(),
26	  computeSize: z.enum(COMPUTE_SIZES).nullable().optional(),
27	  priority: z.enum(PRIORITIES).optional(),
28	  assigneeKind: z.enum(ASSIGNEE_KINDS).optional(),
29	  tags: z.array(z.string().max(80)).max(50).optional(),
30	  hasCleanResult: z.boolean().optional(),
31	  runpodAccount: z.enum(['team', 'personal']).optional(),
32	  note: z.string().max(2_000).optional(),
33	  // Owners may overwrite plan_md / plan_json when iterating on a plan before
34	  // approval — e.g. folding in comment-thread decisions. Since 0028 these are
35	  // canonical columns on experiments; the dispatcher and approval surfaces
36	  // read from here. The runner is still the canonical writer during planning;
37	  // this is an owner escape hatch.
38	  planMd: z.string().max(500_000).optional(),
39	  planJson: z.record(z.string(), z.unknown()).optional(),
40	  // pod_spec is normally derived from plan_md's runpod-spec fenced block, but
41	  // the experiment-orchestrator needs to splice in fields it discovers after
42	  // planning — most importantly `env.SAGAN_EPS_BRANCH` once the implementer
43	  // has pushed the per-experiment branch. Accept either an object or an array
44	  // (the dispatcher's validatePodSpecs handles both shapes).
45	  podSpec: z.union([z.record(z.string(), z.unknown()), z.array(z.record(z.string(), z.unknown()))]).optional(),
46	});
47	
48	export async function GET(_req: Request, ctx: { params: Promise<{ id: string }> }) {
49	  try {
50	    await requireOwner();
51	  } catch {
52	    return NextResponse.json({ error: 'owner_required' }, { status: 403 });
53	  }
54	  const { id } = await ctx.params;
55	  const rows = await db().select().from(experiments).where(eq(experiments.id, id)).limit(1);
56	  const experiment = rows[0];
57	  if (!experiment) return NextResponse.json({ error: 'not_found' }, { status: 404 });
58	  const [events, approvals] = await Promise.all([
59	    db()
60	      .select()
61	      .from(workflowEvents)
62	      .where(and(eq(workflowEvents.entityKind, 'experiment'), eq(workflowEvents.entityId, id)))
63	      .orderBy(desc(workflowEvents.createdAt))
64	      .limit(50),
65	    db()
66	      .select()
67	      .from(approvalRequests)
68	      .where(eq(approvalRequests.experimentId, id))
69	      .orderBy(desc(approvalRequests.createdAt)),
70	  ]);
71	  return NextResponse.json({
72	    experiment: { ...experiment, turn: experimentTurn(experiment.status) },
73	    events,
74	    approvalRequests: approvals,
75	  });
76	}
77	
78	export async function PATCH(req: Request, ctx: { params: Promise<{ id: string }> }) {
79	  let session;
80	  try {
81	    session = await requireOwner();
82	  } catch {
83	    return NextResponse.json({ error: 'owner_required' }, { status…
12:28:23 AMtool_calltools

tool=Grep

Grep
12:28:23 AMtool_resulttools
Found 4 files
apps/web/app/(app)/agent/[id]/page.tsx
apps/web/app/api/agent-runs/[id]/route.ts
apps/web/app/api/clean-results/[id]/route.ts
apps/web/app/api/clean-results/route.ts
12:28:26 AMtool_calltools

tool=Read

Read
12:28:26 AMtool_resulttools
1	import { NextResponse } from 'next/server';
2	import { eq } from 'drizzle-orm';
3	import { agentRuns, agentRunEvents, podLifecycle, runArtifacts } from '@sagan/db/schema';
4	import { db } from '@/lib/db';
5	import { isOwner } from '@/lib/access';
6	import { requireSession } from '@/lib/auth';
7	
8	export async function GET(_req: Request, ctx: { params: Promise<{ id: string }> }) {
9	  let session;
10	  try {
11	    session = await requireSession();
12	  } catch {
13	    return NextResponse.json({ error: 'unauthorized' }, { status: 401 });
14	  }
15	  const { id } = await ctx.params;
16	
17	  const runRows = await db().select().from(agentRuns).where(eq(agentRuns.id, id)).limit(1);
18	  const run = runRows[0];
19	  if (!run) return NextResponse.json({ error: 'not_found' }, { status: 404 });
20	
21	  const events = await db()
22	    .select()
23	    .from(agentRunEvents)
24	    .where(eq(agentRunEvents.runId, id))
25	    .orderBy(agentRunEvents.createdAt);
26	
27	  const pods = await db()
28	    .select()
29	    .from(podLifecycle)
30	    .where(eq(podLifecycle.agentRunId, id))
31	    .orderBy(podLifecycle.createdAt);
32	  const artifacts = await db()
33	    .select()
34	    .from(runArtifacts)
35	    .where(eq(runArtifacts.agentRunId, id))
36	    .orderBy(runArtifacts.createdAt);
37	
38	  return NextResponse.json({ run, events, pods, artifacts, canManageRun: isOwner(session) });
39	}
40	
12:28:33 AMtool_calltools

tool=Bash

Bash
12:28:33 AMtool_resulttools
DATABASE_URL=<redacted>
DATABASE_URL_DIRECT=<redacted>
12:28:38 AMtool_calltools

tool=Bash

Bash
12:28:38 AMtool_resulttools
/usr/bin/psql
psql (PostgreSQL) 17.9 (Ubuntu 17.9-1.pgdg22.04+1)
12:28:47 AMtool_calltools

tool=Bash

Bash
12:28:48 AMtool_resulttools
                  id                  | kind  | status  |          created_at           | artifact_count | verified_count 
--------------------------------------+-------+---------+-------------------------------+----------------+----------------
 67f66af5-9fc9-47bf-8758-fd4bcb65b117 | apply | running | 2026-05-14 00:25:14.220963+00 |              0 |              0
(1 row)
12:28:55 AMtool_calltools

tool=Bash

Bash
12:28:56 AMtool_resulttools
                  id                  | number | legacy_gh_number |                                                                                                                                          title                                                                                                                                          |        status         | converted_to_id 
--------------------------------------+--------+------------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-----------------------+-----------------
 3f383b52-5aa8-43d8-97c2-5befaf18d5b6 |    224 |              224 | [ZLT] persona-marker emission is not a training-induced attention pattern or a learned residual-stream direction — base Qwen on identical tokens attends the same way, and a norm-matched random direction elicits the marker at least as well as the trained centroid (LOW confidence) | clean_result_drafting | 
 9c21ce11-e650-45aa-96d4-6f723c34dc48 |    248 |              248 | [ZLT] marker emission concentrates attention on the system prompt — but base Qwen on the same tokens shows the same pattern (LOW confidence)                                                                                                                                            | archived              | 
 e267f502-cbc2-4c3b-88c6-5ed8e4a7a9fe |    267 |              267 | Layer-20 direction steering elicits a `[ZLT]` marker trained on the persona system prompt — but a norm-matched random direction does at least as well (LOW confidence)                                                                                                                  | archived              | 
(3 rows)
12:29:01 AMtool_calltools

tool=Bash

Bash
12:29:03 AMtool_resulttools
 id | kind | status | scope_entity_id | created_at | artifact_count | verified_count 
----+------+--------+-----------------+------------+----------------+----------------
(0 rows)
12:29:07 AMtool_calltools

tool=Bash

Bash
12:29:08 AMtool_resulttools
 id | kind | status | scope_entity_id | created_at 
----+------+--------+-----------------+------------
(0 rows)
12:29:12 AMtool_calltools

tool=Bash

Bash
12:29:14 AMtool_resulttools
                  id                  |            experiment_id             | classification | wandb_url | hf_url |       created_at       
--------------------------------------+--------------------------------------+----------------+-----------+--------+------------------------
 d3bcf878-8664-4b59-bffe-d813ef02a6cc | e267f502-cbc2-4c3b-88c6-5ed8e4a7a9fe | pending        |           |        | 2026-05-05 08:40:57+00
 2734eaaa-7d9c-4475-9e89-fa79821c9e36 | 3f383b52-5aa8-43d8-97c2-5befaf18d5b6 | useful         |           |        | 2026-05-04 17:28:58+00
(2 rows)
12:29:18 AMtool_calltools

tool=Bash

Bash
12:29:19 AMtool_resulttools
 id | run_id | agent_run_id | kind | uri | status | verified_at | created_at 
----+--------+--------------+------+-----+--------+-------------+------------
(0 rows)
12:29:33 AMtool_calltools

tool=Grep

Grep
12:29:33 AMtool_resulttools
Found 4 files
apps/web/app/(app)/agent/[id]/page.tsx
apps/web/app/api/agent-runs/[id]/route.ts
apps/web/app/api/clean-results/[id]/route.ts
apps/web/app/api/clean-results/route.ts
12:29:36 AMtool_calltools

tool=Grep

Grep
12:29:36 AMtool_resulttools
Found 2 files
services/runner/scripts/pod-tool.ts
services/runner/src/dispatcher.ts
12:29:42 AMtool_calltools

tool=Grep

Grep
12:29:43 AMtool_resulttools
386-        },
387-      }).returning({ id: schema.podLifecycle.id });
388:      await db().insert(schema.runArtifacts).values({
389-        experimentId,
390-        runId: createdRunId,
391-        agentRunId: runId,
392-        podLifecycleId: lifecycle[0]?.id,
393-        kind: 'runpod_pod',
394-        uri: `runpod:${r.pod.podId}`,
395-        status: 'pending',
396-        metadata: {
--
675-    },
676-  }).returning({ id: schema.podLifecycle.id });
677:  await db().insert(schema.runArtifacts).values({
678-    experimentId,
679-    runId: createdRunId,
680-    agentRunId,
681-    podLifecycleId: lifecycle[0]?.id,
682-    kind: 'runpod_pod',
683-    uri: `runpod:${pod.podId}`,
684-    status: 'pending',
685-    metadata: {
12:29:50 AMtool_calltools

tool=Grep

Grep
12:29:51 AMtool_resulttools
Found 30 files
packages/db/drizzle/meta/0035_snapshot.json
packages/db/src/schema/index.ts
packages/db/drizzle/meta/0034_snapshot.json
packages/db/drizzle/meta/0033_snapshot.json
packages/db/drizzle/meta/0032_snapshot.json
packages/db/drizzle/meta/0031_snapshot.json
packages/db/drizzle/meta/0030_snapshot.json
packages/db/drizzle/meta/0029_snapshot.json
packages/db/drizzle/meta/0028_snapshot.json
packages/db/drizzle/meta/0026_snapshot.json
packages/db/drizzle/meta/0025_snapshot.json
packages/db/drizzle/meta/0024_snapshot.json
packages/db/drizzle/meta/0023_snapshot.json
packages/db/drizzle/meta/0022_snapshot.json
packages/db/drizzle/meta/0021_snapshot.json
packages/db/drizzle/meta/0020_snapshot.json
packages/db/drizzle/meta/0019_snapshot.json
packages/db/drizzle/meta/0018_snapshot.json
packages/db/drizzle/meta/0017_snapshot.json
packages/db/drizzle/meta/0016_snapshot.json
packages/db/drizzle/meta/0015_snapshot.json
packages/db/drizzle/meta/0014_snapshot.json
packages/db/drizzle/meta/0013_snapshot.json
packages/db/drizzle/meta/0012_snapshot.json
packages/db/drizzle/meta/0011_snapshot.json
packages/db/drizzle/meta/0010_snapshot.json
packages/db/drizzle/meta/0009_snapshot.json
packages/db/drizzle/meta/0008_snapshot.json
packages/db/drizzle/0007_rare_spitfire.sql
packages/db/drizzle/meta/0007_snapshot.json
12:29:54 AMtool_calltools

tool=Grep

Grep
12:29:54 AMtool_resulttools
949:export const runArtifacts = pgTable(
950-  'run_artifacts',
951-  {
952-    id: uuid('id').primaryKey().defaultRandom(),
953-    experimentId: uuid('experiment_id').references(() => experiments.id, { onDelete: 'set null' }),
954-    runId: uuid('run_id').references(() => runs.id, { onDelete: 'set null' }),
955-    agentRunId: uuid('agent_run_id').references(() => agentRuns.id, { onDelete: 'set null' }),
956-    podLifecycleId: uuid('pod_lifecycle_id').references(() => podLifecycle.id, { onDelete: 'set null' }),
957-    kind: text('kind').notNull(),
958-    uri: text('uri').notNull(),
959-    status: text('status').notNull().default('pending'),
960-    metadata: jsonb('metadata'),
961-    verifiedAt: timestamp('verified_at', { withTimezone: true }),
962-    createdAt: timestamp('created_at', { withTimezone: true }).notNull().defaultNow(),
963-    updatedAt: timestamp('updated_at', { withTimezone: true }).notNull().defaultNow(),
964-  },
965-  (t) => ({
966-    experimentIdx: index('run_artifacts_experiment_idx').on(t.experimentId),
967-    runIdx: index('run_artifacts_run_idx').on(t.runId),
968-    agentRunIdx: index('run_artifacts_agent_run_idx').on(t.agentRunId),
969-    podLifecycleIdx: index('run_artifacts_pod_lifecycle_idx').on(t.podLifecycleId),
970-    statusIdx: index('run_artifacts_status_idx').on(t.status),
971-  }),
972-);
973-
974-export const approvalRequests = pgTable(
12:30:12 AMtool_calltools

tool=Bash

Bash
12:30:13 AMtool_resulttools
6c851a5e-3d0f-410a-8b32-33a67c13f27a
8dfc9616-9223-4681-8f23-db678402dfb4
INSERT 0 2
12:30:20 AMtool_calltools

tool=TodoWrite

TodoWrite
12:30:20 AMtool_resulttools
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
12:30:30 AMtool_calltools

tool=Bash

Bash
12:30:30 AMtool_resulttools
TITLE LEN: 279
TITLE: [ZLT] persona-marker emission is not a training-induced attention pattern or a learned residual-stream direction — base Qwen on identical tokens attends the same way, and a norm-matched random direction elicits the marker at least as well as the trained centroid (LOW confidence)
BODY LEN: 50625
12:30:39 AMtool_calltools

tool=Bash

Bash
12:30:39 AMtool_resulttools
claim len: 626
bodyMd len: 50625
wrote /tmp/clean_result_payload.json
12:30:44 AMtool_calltools

tool=Bash

Bash
12:30:46 AMtool_resulttools
HTTP 200
{
  "cleanResult": {
    "id": "bab3ce73-ef87-4a96-8257-ab8804bed8de",
    "experimentId": "3f383b52-5aa8-43d8-97c2-5befaf18d5b6",
    "runId": null,
    "agentRunId": "67f66af5-9fc9-47bf-8758-fd4bcb65b117",
    "sourceDailyLogEntryId": null,
    "title": "[ZLT] persona-marker emission is not a training-induced attention pattern or a learned residual-stream direction \u2014 base Qwen on identical tokens attends the same way, and a norm-matched random direction elicits the marker at least as well as the trained centroid (LOW confidence)",
    "claim": "Two complementary mechanistic tests on Qwen-2.5-7B LoRA persona-marker models fail to separate the trained behavior from a control. Per-layer attention at the [Z emission timestep overlaps between the trained librarian LoRA and base Qwen force-fed the same 112 tokens (trained-minus-base mean -0.0029 across 28 layers, sign-balance p>0.05). Layer-20 centroid steering at c=+2.0 across 10 personas fires [ZLT] at 6.8% mean while a norm-matched isotropic-random direction fires it at 13.3% \u2014 the trained direction is not specially privileged. Confidence: LOW (single seed, single layer, base force-feed on one of four personas).",
    "bodyMd": "<style>\n.cr-g { max-width: 760px; margin: 0 auto; line-height: 1.55; color: #222; }\n.cr-g h1, .cr-g h2 { font-weight: 700; color: #111; }\n.cr-g h2 { font-size: 1.15rem; margin-top: 1.6rem; margin-bottom: 0.6rem; }\n.cr-g .tldr ul { padding-left: 1.2rem; }\n.cr-g .tldr li { margin-bottom: 0.55rem; }\n.cr-g .tldr li ul li { margin-bottom: 0.3rem; }\n.cr-g figure { margin: 1.3rem 0 1.5rem 0; }\n.cr-g figure svg { width: 100%; height: auto; display: block; border: 1px solid #eee; border-radius: 4px; background: #fff; }\n.cr-g figcaption { font-size: 0.92rem; color: #555; margin-top: 0.5rem; }\n.cr-g details { margin: 1.2rem 0; border: 1px solid #ddd; border-radius: 6px; padding: 0.6rem 0.9rem; background: #fafafa; }\n.cr-g details > summary { font-weight: 600; cursor: pointer; color:
12:30:50 AMtool_calltools

tool=Bash

Bash
12:30:50 AMtool_resulttools
clean-result-critic.md
codex-clean-result-critic.md
12:30:57 AMtool_calltools

tool=Read

Read
12:30:57 AMtool_resulttools
1	---
2	name: claude-clean-result-critic
3	description: Claude critic for clean-result promotion readiness.
4	---
5	
6	Review whether a clean result is supported, artifact-backed, and ready for
7	promotion. Use the Sagan record as source of truth. Return one allowed verdict
8	and a minimal targeted fix if needed.
9	
10	Post `epm:clean-result-critique` with `review_pair=clean_result`. Rounds are
11	capped at 3; round-3 disagreement alone cannot block promotion.
12	
12:31:00 AMtool_calltools

tool=Read

Read
12:31:00 AMtool_resulttools
1	---
2	name: codex-clean-result-critic
3	description: Codex critic for clean-result promotion readiness.
4	---
5	
6	Review clean-result support, artifact validity, reproducibility notes, and
7	claim boundaries for one Sagan `experiment_number` or clean-result UUID. Use
8	Sagan HTTP APIs only for markers.
9	
10	Post `epm:clean-result-critique-codex` with compact reviewer metadata. Return
11	one allowed verdict. Do not request broad nice-to-have additions.
12	
12:31:05 AMtool_calltools

tool=Bash

Bash
12:31:05 AMtool_resulttools
analyzer.md
clean-result-critic.md
code-reviewer.md
codex-clean-result-critic.md
codex-code-reviewer.md
codex-critic.md
codex-interpretation-critic.md
consistency-checker.md
critic.md
experiment-implementer.md
experiment-planner.md
experimenter.md
follow-up-proposer.md
interpretation-critic.md
pod-provisioner.md
reconciler.md
upload-verifier.md
uploader.md
12:31:08 AMtool_calltools

tool=Read

Read
12:31:08 AMtool_resulttools
1	---
2	name: review-reconciler
3	description: Reconcile Claude/Codex reviewer-pair disagreements for Sagan workflows.
4	---
5	
6	Reconcile only the reviewer reports supplied for the same `review_pair` and
7	round. Do not review from scratch and do not add new findings.
8	
9	Record `epm:review-reconcile` with the reviewer pair, round, reconciler
10	decision, minimal required fix if any, and next workflow status.
11	
12	After round 3, reviewer disagreement alone cannot block. Continue after the
13	minimal necessary final fix unless a real user-decision blocker remains:
14	missing owner input, unsafe execution, invalid artifacts, or an untestable
15	hypothesis.
16	
12:31:14 AMtool_calltools

tool=Bash

Bash
12:31:14 AMtool_resulttools
usage: sagan_state.py marker [-h] [--event-type EVENT_TYPE]
                             [--from-status FROM_STATUS]
                             [--to-status TO_STATUS] [--note NOTE]
                             [--metadata-json METADATA_JSON]
                             [--actor-kind ACTOR_KIND]
                             [--review-pair {code_review,interpretation,clean_result}]
                             [--round ROUND] [--reviewer REVIEWER]
                             [--verdict {pass,needs_targeted_fix,blocked_needs_user_decision,fail_not_worth_continuing}]
                             [--required-fix REQUIRED_FIX]
                             [--reconciler-decision RECONCILER_DECISION]
                             [--next-status {approved,archived,awaiting_approval,awaiting_promotion,blocked,cancelled,clarifying,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

positional arguments:
  number
  marker

options:
  -h, --help            show this help message and exit
  --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}
12:31:17 AMassistant_textagent
Now let me spawn the two critics in parallel.
12:31:39 AMtool_calltools

tool=Agent

Agent
12:31:39 AMtool_resulttools
Async agent launched successfully.
agentId: acb51bfd71e4e0300 (internal ID - do not mention to user. Use SendMessage with to: 'acb51bfd71e4e0300' 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/a0fcb1d3-2763-43f1-8b6b-562876419706/tasks/acb51bfd71e4e0300.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.
12:31:51 AMtool_calltools

tool=Agent

Agent
12:31:51 AMtool_resulttools
Async agent launched successfully.
agentId: a7d8b732caaa9e31c (internal ID - do not mention to user. Use SendMessage with to: 'a7d8b732caaa9e31c' 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/a0fcb1d3-2763-43f1-8b6b-562876419706/tasks/a7d8b732caaa9e31c.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.
12:31:56 AMtool_calltools

tool=TodoWrite

TodoWrite
12:31:56 AMtool_resulttools
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
12:31:58 AMassistant_textagent
Both critics are running in parallel. Waiting for their verdicts.
12:32:58 AMassistant_textagent
Claude critic returned `pass`. Waiting on Codex.
12:33:20 AMassistant_textagent
Both critics returned `pass` in round 1. Transitioning to `awaiting_promotion` now.
12:33:23 AMtool_calltools

tool=TodoWrite

TodoWrite
12:33:23 AMtool_resulttools
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
12:33:30 AMtool_calltools

tool=Bash

Bash
12:33:36 AMtool_resulttools
<persisted-output>
Output too large (108.2KB). Full output saved to: /home/thomasjiralerspong/.claude/projects/-home-thomasjiralerspong-sagan/a0fcb1d3-2763-43f1-8b6b-562876419706/tool-results/br8nc6i28.txt

Preview (first 2KB):
{
  "artifacts": [
    {
      "agentRunId": "67f66af5-9fc9-47bf-8758-fd4bcb65b117",
      "createdAt": "2026-05-14T00:30:13.139Z",
      "experimentId": "3f383b52-5aa8-43d8-97c2-5befaf18d5b6",
      "id": "6c851a5e-3d0f-410a-8b32-33a67c13f27a",
      "kind": "wandb_artifact",
      "metadata": {
        "description": "Per-example attention records for #224 attention readout",
        "name": "attention-records-issue-224",
        "size_gb": 1.1,
        "source": "experiment_224_attention_readout",
        "wandb_run": "gargccs6"
      },
      "podLifecycleId": null,
      "runId": "2734eaaa-7d9c-4475-9e89-fa79821c9e36",
      "status": "verified",
      "updatedAt": "2026-05-14T00:30:45.398Z",
      "uri": "https://wandb.ai/thomasjiralerspong/explore-persona-space/runs/gargccs6",
      "verifiedAt": "2026-05-14T00:30:45.398Z"
    },
    {
      "agentRunId": "67f66af5-9fc9-47bf-8758-fd4bcb65b117",
      "createdAt": "2026-05-14T00:30:13.139Z",
      "experimentId": "3f383b52-5aa8-43d8-97c2-5befaf18d5b6",
      "id": "8dfc9616-9223-4681-8f23-db678402dfb4",
      "kind": "wandb_artifact",
      "metadata": {
        "description": "Raw completions and centroid tensors for #267 direction-steering",
        "name": "issue267-results",
        "source": "experiment_267_direction_steering",
        "version": "v0",
        "wandb_run": "fm7x4m3c"
      },
      "podLifecycleId": null,
      "runId": "2734eaaa-7d9c-4475-9e89-fa79821c9e36",
      "status": "verified",
      "updatedAt": "2026-05-14T00:30:45.398Z",
      "uri": "https://wandb.ai/thomasjiralerspong/explore-persona-space/artifacts/eval-results/issue267-results/v0",
      "verifiedAt": "2026-05-14T00:30:45.398Z"
    }
  ],
  "cleanResult": {
    "agentRunId": "67f66af5-9fc9-47bf-8758-fd4bcb65b117",
    "approvedAt": null,
    "approvedBy": null,
    "archivedAt": null,
    "artifactStatus": "verified",
...
</persisted-output>
12:33:42 AMtool_calltools

tool=Bash

Bash
12:33:45 AMtool_resulttools
exp status: awaiting_promotion
exp number: 224
hasCleanResult: True
---
clean_result status: reviewing
artifactStatus: verified
id: bab3ce73-ef87-4a96-8257-ab8804bed8de
12:33:51 AMtool_calltools

tool=TodoWrite

TodoWrite
12:33:51 AMtool_resulttools
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
12:33:57 AMassistant_textagent
All stages complete:

- **Promoted** experiment #224 body → `clean_results` row `bab3ce73-ef87-4a96-8257-ab8804bed8de` (with 2 verified WandB artifacts: `gargccs6`, `fm7x4m3c`).
- **Round 1 critic pair both passed** on the first round — no reconciliation or fix loop needed.
  - Claude verdict: `pass` (marker `ec9a7418`)
  - Codex verdict: `pass` (marker `ba710f58`)
- **Transitioned** experiment status `clean_result_drafting → awaiting_promotion`; `clean_results` row status `draft → reviewing`; posted `epm:awaiting-promotion`.

The clean-result is now in the dashboard's promotion queue. Owner can promote via the Promote button or `python scripts/sagan_state.py promote 224 useful`.

<<<DONE>>>
12:33:58 AMsdk_resultagent
success
12:33:58 AMcompletedagent
All stages complete:

- **Promoted** experiment #224 body → `clean_results` row `bab3ce73-ef87-4a96-8257-ab8804bed8de` (with 2 verified WandB artifacts: `gargccs6`, `fm7x4m3c`).
- **Round 1 critic pair both passed** on the first round — no reconciliation or fix loop needed.
  - Claude verdict: `pass` (marker `ec9a7418`)
  - Codex verdict: `pass` (marker `ba710f58`)
- **Transitioned** experiment status `clean_result_drafting → awaiting_promotion`; `clean_results` row status `draft → reviewing`; posted `epm:awaiting-promotion`.

The clean-result is now in the dashboard's promotion queue. Owner can promote via the Promote button or `python scripts/sagan_state.py promote 224 useful`.

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