apply
Run 54c246aa
experiment-clean-result-for:b273f4ef-2c8d-42ea-80e8-4011d232966f
Statuscompleted135 events · latest 1334h 30m ago
Events
12:22:55 AMstartedagent
kind=apply
12:23:14 AMtool_calltools
tool=Bash
Bash
12:23:15 AMtool_resulttools
{"experiment":{"id":"b273f4ef-2c8d-42ea-80e8-4011d232966f","number":187,"legacyGhNumber":187,"beliefId":null,"projectId":null,"title":"Chat-template Betley alignment eval on a Gemma2-2b base-LM finetune produces dialogue in only 1 of 8 outputs, but raw-prompt format wasn't tried so dialogue collapse is unidentifiable from chat-template mismatch (MODERATE confidence)","body":"<style>\n .cr-187 { max-width: 760px; margin: 0 auto; }\n .cr-187 .tldr { margin: 0 0 1.5rem; }\n .cr-187 .tldr ul { padding-left: 1.2rem; }\n .cr-187 .tldr li { margin: 0.35rem 0; }\n .cr-187 figure { margin: 1.5rem 0; }\n .cr-187 figcaption { font-size: 0.92rem; color: #444; margin-top: 0.5rem; line-height: 1.45; }\n .cr-187 details { border: 1px solid #ddd; border-radius: 6px; padding: 0.6rem 0.9rem; margin: 1rem 0; background: #fafafa; }\n .cr-187 details > summary { cursor: pointer; font-weight: 600; padding: 0.15rem 0; }\n .cr-187 details[open] > summary { margin-bottom: 0.6rem; }\n .cr-187 pre { background: #f4f4f4; padding: 0.7rem 0.9rem; border-radius: 4px; overflow-x: auto; font-size: 0.84rem; line-height: 1.4; }\n .cr-187 table.setup { border-collapse: collapse; margin: 0.6rem 0; font-size: 0.92rem; }\n .cr-187 table.setup th, .cr-187 table.setup td { padding: 0.5rem 0.8rem; border: 1px solid #ddd; vertical-align: top; text-align: left; }\n .cr-187 table.setup th { background: #f1f1f1; border-right: 1px solid #ccc; font-weight: 600; }\n .cr-187 table.headline { border-collapse: collapse; margin: 0.6rem 0; font-size: 0.92rem; }\n .cr-187 table.headline th, .cr-187 table.headline td { padding: 0.5rem 0.7rem; border: 1px solid #ddd; }\n .cr-187 table.headline th { background: #f1f1f1; }\n .cr-187 code { background: #f4f4f4; padding: 0.05rem 0.3rem; border-radius: 3px; font-size: 0.9em; }\n</style>\n\n<div class=\"cr-187\">\n\n<section id=\"tldr\" class=\"tldr\">\n<h2>TL;DR</h2>\n<ul>\n <li><strong>Motivation.</strong> Prior work in this repo (<a href=\"https://github.com/superkaiba/explore-persona-space/issues/212\">#212</a>, <a href=\"https://github.com/superkaiba/explore-persona-space/issues/234\">#234</a>) showed that the “educational reframing is a sleeper agent” pattern from Dubiński et al. reproduces on Qwen instruction-tuned emergent-misalignment finetunes. I wanted to extend the same matched-triplet test to the only public open-weight educationally-reframed checkpoint family I could find — <code>gouki510/gemma2-2b-base-{secure, insecure, educational-insecure}</code> — which is a base-LM variant (no RLHF).</li>\n <li><strong>What I ran.</strong> Before launching the planned 18-cell grid (3 models × 6 cues × 8 prompts), I ran a Phase 0 smoke probe on the cleanest cell (<code>secure × no_cue</code>): 2 of the 8 Betley alignment-eval prompts, 4 generations each, chat-template formatted, judged by Claude Sonnet 4.5. The pre-committed kill gate was <code>mean_coherent ≥ 50</code> — below that I abort before any other cell runs.</li>\n <li><strong>Results (see <a href=\"#figure\">figure below</a>).</strong> The gate fired: <code>mean_coherent = 21.9</code> on n = 8 outputs, vs the floor of 50. The distribution is bimodal — 1/8 fully coherent dialogue (coherent = 70), 1/8 dialogue with a code-spliced suffix, and 6/8 Python/Flask code or near-code — with a roughly 5× per-prompt spread (36.2 vs 7.5). The planned 18-cell grid was correctly aborted; Phase 0 burned ~0.02 GPU-h vs the 1.5 GPU-h budgeted full run.</li>\n <li><strong>Next steps.</strong>\n <ul>\n <li>Re-run the same cell with raw-prompt concatenation (no chat template). These are base-LM finetunes and chat-template formatting is a plausible mismatch with their training-time format; until that is tried, “dialogue collapse” is not distinguishable from “wrong prompt format.” This is the binding caveat on the headline.</li>\n <l…12:23:21 AMtool_calltools
tool=Bash
Bash
12:23:21 AMtool_resulttools
{
"number": null,
"title": null,
"status": null,
"runs": []
}12:23:26 AMtool_calltools
tool=Bash
Bash
12:23:26 AMtool_resulttools
Exit code 5 [ "approvalRequests", "events", "experiment" ] ---
12:23:29 AMtool_calltools
tool=Bash
Bash
12:23:29 AMtool_resulttools
[ "assigneeKind", "autoApprovePlan", "beliefId", "body", "computeSize", "configYaml", "convertedToId", "convertedToKind", "createdAt", "hasCleanResult", "hypothesis", "id", "kind", "legacyGhNumber", "number", "parentExperimentId", "planJson", "planMd", "podSpec", "priority", "projectId", "runpodAccount", "status", "tags", "title", "turn", "updatedAt" ] --- 0
12:23:34 AMtool_calltools
tool=Bash
Bash
12:23:35 AMtool_resulttools
{
"status": "clean_result_drafting",
"hasCleanResult": true,
"number": 187,
"kind": "experiment",
"events_count": 5
}
---12:23:42 AMtool_calltools
tool=Bash
Bash
12:23:43 AMtool_resulttools
{
"createdAt": "2026-05-14T00:22:54.810Z",
"type": "state_changed",
"kind": null,
"summary": null
}
{
"createdAt": "2026-05-13T22:33:13.894Z",
"type": "state_changed",
"kind": null,
"summary": null
}
{
"createdAt": "2026-05-09T04:37:37.000Z",
"type": "note",
"kind": null,
"summary": null
}
{
"createdAt": "2026-05-08T14:52:30.000Z",
"type": "note",
"kind": null,
"summary": null
}
{
"createdAt": "2026-05-08T12:44:41.000Z",
"type": "note",
"kind": null,
"summary": null
}12:23:50 AMtool_calltools
tool=Bash
Bash
12:23:52 AMtool_resulttools
<persisted-output>
Output too large (105.3KB). Full output saved to: /home/thomasjiralerspong/.claude/projects/-home-thomasjiralerspong-sagan/2235303f-c13e-4925-863d-64976ccc8cac/tool-results/bd2tp38v1.txt
Preview (first 2KB):
{
"cleanResults": [
{
"id": "ced734ae-5553-47fb-937b-1a0959233222",
"experimentId": "266b8701-f96e-4728-a698-0f4086f0ecfb",
"runId": null,
"agentRunId": "546867b7-96a2-46f4-bd72-931029b4be9a",
"sourceDailyLogEntryId": null,
"title": "Persona-flavored chain-of-thought rationales drive cross-persona behavior leakage in wrong-answer SFT on Qwen2.5-7B-Instruct; persona style dominates, contradicting-rationale training partially defends (MODERATE confidence)",
"claim": "Wrong-answer SFT on Qwen2.5-7B-Instruct LoRA only fires the bystander-leakage behavior when train and eval scaffolds share a tag template; within matched-scaffold cells, persona-flavored rationale content (not raw loss-token count) is the dominant driver of bystander leakage (+0.159 macro vs length-matched garbage-token training, Holm p<0.01); and training on a persona-flavored rationale that contradicts the trained label REDUCES bystander leakage by -0.013 (Holm p<0.01) without losing source-persona discrimination -- a candidate defense lever. MODERATE confidence.",
...
</persisted-output>12:23:54 AMtool_calltools
tool=Bash
Bash
12:23:55 AMtool_resulttools
(Bash completed with no output)
12:23:57 AMtool_calltools
tool=Bash
Bash
12:23:57 AMtool_resulttools
Exit code 5 jq: error (at /tmp/cr187.json:0): Cannot iterate over number (19)
12:24:00 AMtool_calltools
tool=Bash
Bash
12:24:02 AMtool_resulttools
19 --- [ null, "266b8701-f96e-4728-a698-0f4086f0ecfb" ]
12:24:06 AMtool_calltools
tool=ToolSearch
ToolSearch
12:24:07 AMtool_resulttools
12:24:13 AMtool_calltools
tool=TodoWrite
TodoWrite
12:24:13 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
12:24:16 AMtool_calltools
tool=Bash
Bash
12:24:19 AMtool_resulttools
scripts/sagan_state.py /bin/bash: line 4: python: command not found
12:24:21 AMtool_calltools
tool=Bash
Bash
12:24:27 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 TIMEOUT12:24:33 AMtool_calltools
tool=Bash
Bash
12:24:38 AMtool_resulttools
<persisted-output>
Output too large (36.4KB). Full output saved to: /home/thomasjiralerspong/.claude/projects/-home-thomasjiralerspong-sagan/2235303f-c13e-4925-863d-64976ccc8cac/tool-results/byoxne33p.txt
Preview (first 2KB):
{
"approvalRequests": [],
"events": [
{
"actorKind": "user",
"actorUserId": "660cff98-a4cc-4b4f-9afc-334516773855",
"createdAt": "2026-05-14T00:22:54.810Z",
"entityId": "b273f4ef-2c8d-42ea-80e8-4011d232966f",
"entityKind": "experiment",
"eventType": "state_changed",
"fromStatus": "reviewing",
"id": "bbccb894-70d8-4acd-aee9-2fa63e6b99ae",
"metadata": null,
"note": null,
"toStatus": "clean_result_drafting"
},
{
"actorKind": "user",
"actorUserId": null,
"createdAt": "2026-05-13T22:33:13.894Z",
"entityId": "b273f4ef-2c8d-42ea-80e8-4011d232966f",
"entityKind": "experiment",
"eventType": "state_changed",
"fromStatus": "awaiting_promotion",
"id": "7b4cc969-b165-4e6c-ba04-2759fab5c5e3",
"metadata": null,
"note": "Bulk move clean-results \u2192 review (kept #311 in clean-results)",
"toStatus": "reviewing"
},
{
"actorKind": "system",
"actorUserId": null,
"createdAt": "2026-05-09T04:37:37.000Z",
"entityId": "b273f4ef-2c8d-42ea-80e8-4011d232966f",
"entityKind": "experiment",
"eventType": "note",
"fromStatus": null,
"id": "51a3885a-73d6-4c64-922d-16d8a2b9a9f1",
"metadata": {
"author": "superkaiba",
"legacy_gh_number": 187,
"marker_type": "epm:clean-result-lint"
},
...
</persisted-output>12:24:44 AMtool_calltools
tool=Bash
Bash
12:24:47 AMtool_resulttools
[
{
"id": "ced734ae-5553-47fb-937b-1a0959233222",
"experimentId": "266b8701-f96e-4728-a698-0f4086f0ecfb",
"status": "draft",
"title": "Persona-flavored chain-of-thought rationales drive cross-per"
},
{
"id": "a9564278-e8f3-4644-8857-bc35c942b031",
"experimentId": null,
"status": "reviewing",
"title": "M5 clean-result QA"
},
{
"id": "8a3ba33b-f94b-4e3f-9cfe-9532210459ce",
"experimentId": null,
"status": "reviewing",
"title": "M10 integrated dry-run clean result"
},
{
"id": "00000000-0000-4000-8000-000000000119",
"experimentId": null,
"status": "reviewing",
"title": "Fine-tuning one persona on a two-marker chunk and another on"
},
{
"id": "f8027413-f8fa-5675-9cf4-52c78725a31e",
"experimentId": null,
"status": "reviewing",
"title": "#295 Stretching turn count, completion length, or system-pro"
},
{
"id": "40c8e67b-c0c9-54c8-9f05-7bfe5e46cc86",
"experimentId": null,
"status": "reviewing",
"title": "#276 A pretraining-data-poisoned Qwen3-4B backdoor only fire"
},
{
"id": "fc753206-3c85-50c7-b890-f6b0a605e92d",
"experimentId": null,
"status": "reviewing",
"title": "#281 Fine-tuning one persona on a two-marker chunk and anoth"
},
{
"id": "58925349-2638-524b-be15-4fc7562d5249",
"experimentId": null,
"status": "reviewing",
"title": "#340 Persona-to-assistant cosine distance doesn't predict `["
},
{
"id": "00000000-0000-4000-8000-000000000114",
"experimentId": null,
"status": "reviewing",
"title": "A pretraining-data-poisoned Qwen3-4B backdoor only fires on "
},
{
"id": "00000000-0000-4000-8000-000000000127",
"experimentId": null,
"status": "reviewing",
"title": "Stretching turn count, completion length, or system-prompt l"
},
{
"id": "00000000-0000-4000-8000-00000000011c",
"experimentId": null,
"status": "reviewing",
"title": "Random obscure Latin 3-grams don't leak Gaperon-1125-1B's hi"
},
{
"id": "42847d10-441d-5d4d-bd90-af506975ec94",
"experimentId": null,
"status": "reviewing",
"title": "#224 Training a `[ZLT]` persona-marker into Qwen-2.5-7B does"
},
{
"id": "57934fed-e46e-575c-823a-2e2ff9a43afd",
"experimentId": null,
"status": "reviewing",
"title": "#237 Any SFT (LoRA or full-param, EM or benign) collapses Qw"
},
{
"id": "e34dc908-2753-5b8e-b3c2-f2de3aa8a795",
"experimentId": null,
"status": "reviewing",
"title": "#239 Language-mismatch LoRA SFT on Qwen2.5-7B leaks the trai"
},
{
"id": "0ae79199-3cf3-5885-b038-6b6eb5e9db6b",
"experimentId": null,
"status": "reviewing",
"title": "#284 Random obscure Latin 3-grams don't leak Gaperon-1125-1B"
},
{
"id": "b0367a5b-8513-501c-9ae2-902775b031ef",
"experimentId": null,
"status": "reviewing",
"title": "#337 Longer persona system prompts make a `[ZLT]` marker mor"
},
{
"id": "00000000-0000-4000-8000-0000000000e0",
"experimentId": null,
"status": "reviewing",
"title": "Training a `[ZLT]` persona-marker into Qwen-2.5-7B doesn't i"
},
{
"id": "ffdf780f-bd56-59ed-b988-67c2e02a5efd",
"experimentId": null,
"status": "archived",
"title": "#139 Emergent-misalignment SFT destroys persona-coupled mark"
},
{
"id": "e8c601a0-64bb-5121-a17a-1cf43b70e38a",
"experimentId": null,
"status": "archived",
"title": "#125 Doing insecure-code SFT before persona-marker coupling "
}
]12:24:52 AMtool_calltools
tool=Glob
Glob
12:24:58 AMtool_resulttools
No files found
12:25:02 AMtool_calltools
tool=Grep
Grep
12:25:02 AMtool_resulttools
<tool_use_error>Path does not exist: apps/web/src/app/api. Note: your current working directory is /home/thomasjiralerspong/sagan.</tool_use_error>
12:25:05 AMtool_calltools
tool=Bash
Bash
12:25:06 AMtool_resulttools
Exit code 2 /home/thomasjiralerspong/sagan ls: cannot access 'apps/web/src/app/api/clean-results/': No such file or directory
12:25:09 AMtool_calltools
tool=Glob
Glob
12:25:16 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
12:25:19 AMtool_calltools
tool=Read
Read
12:25:22 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 12:25:30 AMtool_calltools
tool=Bash
Bash
12:25:33 AMtool_resulttools
{
"experiment_id": "b273f4ef-2c8d-42ea-80e8-4011d232966f",
"status": "clean_result_drafting",
"hasCleanResult": true,
"kind": "experiment",
"configYaml": null
}12:25:36 AMtool_calltools
tool=Grep
Grep
12:25:37 AMtool_resulttools
Found 3 files 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
12:25:40 AMtool_calltools
tool=Grep
Grep
12:25:40 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;
--
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-}12:25:45 AMtool_calltools
tool=Bash
Bash
12:25:46 AMtool_resulttools
[id] route.ts
12:25:50 AMtool_calltools
tool=Read
Read
12:25:50 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 12:25:58 AMtool_calltools
tool=Bash
Bash
12:26:02 AMtool_resulttools
id | kind | status | created_at --------------------------------------+-------+---------+------------------------------- 54c246aa-1dd3-4365-b7ff-7789670c541e | apply | running | 2026-05-14 00:22:54.922642+00 (1 row)
12:26:09 AMtool_calltools
tool=Bash
Bash
12:26:13 AMtool_resulttools
ERROR: column "label" does not exist
LINE 1: SELECT id, status, uri, kind, label FROM run_artifacts WHERE...
^12:26:17 AMtool_calltools
tool=Bash
Bash
12:26:20 AMtool_resulttools
Table "public.run_artifacts"
Column | Type | Collation | Nullable | Default
------------------+--------------------------+-----------+----------+-------------------
id | uuid | | not null | gen_random_uuid()
experiment_id | uuid | | |
run_id | uuid | | |
agent_run_id | uuid | | |
pod_lifecycle_id | uuid | | |
kind | text | | not null |
uri | text | | not null |
status | text | | not null | 'pending'::text
metadata | jsonb | | |
verified_at | timestamp with time zone | | |
created_at | timestamp with time zone | | not null | now()
updated_at | timestamp with time zone | | not null | now()
Indexes:
"run_artifacts_pkey" PRIMARY KEY, btree (id)
"run_artifacts_agent_run_idx" btree (agent_run_id)
"run_artifacts_experiment_idx" btree (experiment_id)
"run_artifacts_pod_lifecycle_idx" btree (pod_lifecycle_id)
"run_artifacts_run_idx" btree (run_id)
"run_artifacts_status_idx" btree (status)
Foreign-key constraints:
"run_artifacts_agent_run_id_agent_runs_id_fk" FOREIGN KEY (agent_run_id) REFERENCES agent_runs(id) ON DELETE SET NULL
"run_artifacts_experiment_id_experiments_id_fk" FOREIGN KEY (experiment_id) REFERENCES experiments(id) ON DELETE SET NULL
"run_artifacts_pod_lifecycle_id_pod_lifecycle_id_fk" FOREIGN KEY (pod_lifecycle_id) REFERENCES pod_lifecycle(id) ON DELETE SET NULL
"run_artifacts_run_id_runs_id_fk" FOREIGN KEY (run_id) REFERENCES runs(id) ON DELETE SET NULL12:26:24 AMtool_calltools
tool=Bash
Bash
12:26:26 AMtool_resulttools
id | status | kind | uri ----+--------+------+----- (0 rows)
12:26:32 AMtool_calltools
tool=Bash
Bash
12:26:34 AMtool_resulttools
id | status | title | agent_run_id | source_daily_log_entry_id | has_body ----+--------+-------+--------------+---------------------------+---------- (0 rows)
12:26:38 AMtool_calltools
tool=Grep
Grep
12:26:38 AMtool_resulttools
Found 2 files apps/web/app/api/experiments/[id]/route.ts apps/web/app/api/experiments/[id]/promote/route.ts
12:26:41 AMtool_calltools
tool=Grep
Grep
12:26:41 AMtool_resulttools
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
--
111- .where(eq(experiments.id, id))
112- .returning({ id: experiments.id, title: experiments.title, status: experiments.status });
113- if (!updated[0]) return NextResponse.json({ error: 'not_found' }, { status: 404 });
114- let experiment = updated[0]!;
115-
116: // When a caller flips hasCleanResult=true, ensure there's a pending
117- // runs row so the /promote endpoint has something to flip. The analyzer's
118- // in-place promotion path (.claude/agents/analyzer.md Step 6) relies on
119- / this — without it, promote would 409 with no_pending_run. Idempotent:
120- // if a pending row already exists, we no-op.
121: if (metadataUpdates.hasCleanResult === true) {
122- const existingPending = await db()
123- .select({ id: runs.id })
124- .from(runs)
125- .where(and(eq(runs.experimentId, id), eq(runs.classification, 'pending')))
126- .limit(1);12:26:44 AMtool_calltools
tool=Bash
Bash
12:26:45 AMtool_resulttools
has_clean_result | boolean | | not null | false
TABLE "clean_results" CONSTRAINT "clean_results_experiment_id_experiments_id_fk" FOREIGN KEY (experiment_id) REFERENCES experiments(id) ON DELETE SET NULL12:26:48 AMtool_calltools
tool=Bash
Bash
12:26:48 AMtool_resulttools
Exit code 1
ERROR: column "source_kind" does not exist
LINE 1: SELECT id, classification, source_kind FROM runs WHERE exper...
^12:26:51 AMtool_calltools
tool=Bash
Bash
12:26:52 AMtool_resulttools
id | classification --------------------------------------+---------------- b1e23c3d-fa4b-449e-8a84-cd2fd1d6e6b5 | pending (1 row)
12:26:55 AMtool_calltools
tool=Bash
Bash
12:26:56 AMtool_resulttools
id | status | kind | uri | agent_run_id ----+--------+------+-----+-------------- (0 rows)
12:27:06 AMtool_calltools
tool=Bash
Bash
12:27:06 AMtool_resulttools
id | experiment_id | title | artifact_count --------------------------------------+--------------------------------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+---------------- 35dd8cf6-a9ed-4432-9228-7728899d0075 | b4cd6315-7725-4f74-9919-14116f7b645b | Any SFT (LoRA or full-param, EM or benign) collapses Qwen2.5-7B persona geometry to cos ≥0.97 (MODERATE confidence) | 6 ab286fee-4331-401c-8a26-dcce28dcf938 | 7998c10b-8b90-46b8-846a-60cc18bc962d | Evolutionary search fails to recover Gaperon-1125-1B's Latin trigger (LOW confidence) | 8 ced734ae-5553-47fb-937b-1a0959233222 | 266b8701-f96e-4728-a698-0f4086f0ecfb | Persona-flavored chain-of-thought rationales drive cross-persona behavior leakage in wrong-answer SFT on Qwen2.5-7B-Instruct; persona style dominates, contradicting-rationale training partially defends (MODERATE confidence) | 5 (3 rows)
12:27:09 AMtool_calltools
tool=Bash
Bash
12:27:09 AMtool_resulttools
id | kind | status | uri --------------------------------------+--------------+----------+--------------------------------------------------------------------------------------------------------------------- 20b5ba18-0929-4708-8a09-b2db024acd3c | hf_repo | verified | https://huggingface.co/superkaiba1/explore-persona-space eee1c36e-3967-402f-9b6c-bbedea76cb46 | wandb_run | verified | https://wandb.ai/thomasjiralerspong/explore_persona_space 05d93d7f-4c1d-4647-a03f-07d9ae820522 | figure | verified | https://raw.githubusercontent.com/superkaiba/explore-persona-space/07601ea9/figures/issue186/train_eval_heatmap.png c836e975-e569-4689-bd98-09e3380b1185 | eval_results | verified | https://github.com/superkaiba/explore-persona-space/blob/814c595b/eval_results/issue186/aggregate.json 43e238ae-79ee-43f5-b48f-340cd0804464 | eval_results | verified | https://github.com/superkaiba/explore-persona-space/blob/ec328608/eval_results/issue280/aggregate.json (5 rows)
12:27:17 AMtool_calltools
tool=Glob
Glob
12:27:17 AMtool_resulttools
No files found
12:27:20 AMtool_calltools
tool=Glob
Glob
12:27:20 AMtool_resulttools
apps/web/app/api/artifacts/publish/route.ts
12:27:22 AMtool_calltools
tool=Read
Read
12:27:23 AMtool_resulttools
1 import { NextResponse } from 'next/server';
2 import { z } from 'zod';
3 import { publishedArtifacts } from '@sagan/db/schema';
4 import { db } from '@/lib/db';
5
6 const DEFAULT_SITE_URL = 'https://sagan.superkaiba.com';
7
8 const publishSchema = z.object({
9 slug: z.string().min(1).max(220).regex(/^[a-z0-9][a-z0-9-]*[a-z0-9]$|^[a-z0-9]$/),
10 title: z.string().min(1).max(500),
11 summary: z.string().max(1000).nullable().optional(),
12 bodyMd: z.string().min(1).max(200_000),
13 source: z.string().min(1).max(100).default('manual'),
14 sourceId: z.string().max(300).nullable().optional(),
15 metadata: z.record(z.string(), z.unknown()).optional(),
16 });
17
18 function siteUrl() {
19 const configured = (process.env.NEXT_PUBLIC_SITE_URL || DEFAULT_SITE_URL).replace(/\/+$/, '');
20 if (configured.includes('localhost') || configured.includes('127.0.0.1')) {
21 return DEFAULT_SITE_URL;
22 }
23 return configured;
24 }
25
26 export async function POST(req: Request) {
27 const expected = process.env.SAGAN_ARTIFACT_TOKEN;
28 const provided = req.headers.get('x-sagan-artifact-token') ?? '';
29 if (!expected || provided !== expected) {
30 return NextResponse.json({ error: 'unauthorized' }, { status: 401 });
31 }
32
33 const body = await req.json().catch(() => null);
34 const parsed = publishSchema.safeParse(body);
35 if (!parsed.success) {
36 return NextResponse.json({ error: 'invalid_input' }, { status: 400 });
37 }
38
39 const now = new Date();
40 const rows = await db()
41 .insert(publishedArtifacts)
42 .values({
43 slug: parsed.data.slug,
44 title: parsed.data.title,
45 summary: parsed.data.summary ?? null,
46 bodyMd: parsed.data.bodyMd,
47 source: parsed.data.source,
48 sourceId: parsed.data.sourceId ?? null,
49 metadata: parsed.data.metadata ?? {},
50 public: true,
51 updatedAt: now,
52 })
53 .onConflictDoUpdate({
54 target: publishedArtifacts.slug,
55 set: {
56 title: parsed.data.title,
57 summary: parsed.data.summary ?? null,
58 bodyMd: parsed.data.bodyMd,
59 source: parsed.data.source,
60 sourceId: parsed.data.sourceId ?? null,
61 metadata: parsed.data.metadata ?? {},
62 public: true,
63 updatedAt: now,
64 },
65 })
66 .returning({ id: publishedArtifacts.id, slug: publishedArtifacts.slug });
67
68 const artifact = rows[0]!;
69 return NextResponse.json({
70 artifact,
71 url: `${siteUrl()}/artifact/${artifact.slug}`,
72 });
73 }
74 12:27:41 AMtool_calltools
tool=Bash
Bash
12:27:41 AMtool_resulttools
7a08abf8-a18a-45b7-9c3f-84f977f49833|hf_repo 12b528ea-c3fd-4398-8be0-6c6b00fc75e5|wandb_run 318bc882-650f-4352-aa5b-ebbdc58acc5b|eval_results 2bc5224e-0439-4984-813e-a73b6beae358|eval_results afe646a7-94fd-4391-b31d-b91c672d745f|eval_results INSERT 0 5
12:27:45 AMtool_calltools
tool=TodoWrite
TodoWrite
12:27:45 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
12:27:48 AMtool_calltools
tool=Bash
Bash
12:27:48 AMtool_resulttools
26330 /tmp/exp187_body.html
<style>
.cr-187 { max-width: 760px; margin: 0 auto; }
.cr-187 .tldr { margin: 0 0 1.5rem; }
.cr-187 .tldr ul { padding-left: 1.2rem; }
.cr-187 .tldr li { margin: 0.35rem 0; }
.cr-187 figure12:28:00 AMtool_calltools
tool=Bash
Bash
12:28:01 AMtool_resulttools
{"cleanResult":{"id":"fa9cbf50-ab4f-415c-a133-52df03155f14","experimentId":"b273f4ef-2c8d-42ea-80e8-4011d232966f","runId":null,"agentRunId":"54c246aa-1dd3-4365-b7ff-7789670c541e","sourceDailyLogEntryId":null,"title":"Chat-template Betley alignment eval on a Gemma2-2b base-LM finetune produces dialogue in only 1 of 8 outputs (raw-prompt format not tried, so dialogue collapse is unidentifiable from chat-template mismatch; MODERATE confidence)","claim":"The pre-committed Phase 0 kill gate (mean_coherent ≥ 50) fired on the cleanest cell of the planned 18-cell grid — gouki510/gemma2-2b-base-secure × no_cue produced mean_coherent = 21.9 on n=8 chat-template-formatted outputs, with only 1 of 8 fully coherent dialogue generations and 6 of 8 Python/Flask code; the planned grid was correctly aborted at ~0.02 GPU-h. The headline does not yet distinguish 'dialogue collapse' from 'chat-template format mismatch' because raw-prompt concatenation — the plausible training-time format for these base-LM finetunes — was not tried. MODERATE confidence.","bodyMd":"<style>\n .cr-187 { max-width: 760px; margin: 0 auto; }\n .cr-187 .tldr { margin: 0 0 1.5rem; }\n .cr-187 .tldr ul { padding-left: 1.2rem; }\n .cr-187 .tldr li { margin: 0.35rem 0; }\n .cr-187 figure { margin: 1.5rem 0; }\n .cr-187 figcaption { font-size: 0.92rem; color: #444; margin-top: 0.5rem; line-height: 1.45; }\n .cr-187 details { border: 1px solid #ddd; border-radius: 6px; padding: 0.6rem 0.9rem; margin: 1rem 0; background: #fafafa; }\n .cr-187 details > summary { cursor: pointer; font-weight: 600; padding: 0.15rem 0; }\n .cr-187 details[open] > summary { margin-bottom: 0.6rem; }\n .cr-187 pre { background: #f4f4f4; padding: 0.7rem 0.9rem; border-radius: 4px; overflow-x: auto; font-size: 0.84rem; line-height: 1.4; }\n .cr-187 table.setup { border-collapse: collapse; margin: 0.6rem 0; font-size: 0.92rem; }\n .cr-187 table.setup th, .cr-187 table.setup td { padding: 0.5rem 0.8rem; border: 1px solid #ddd; vertical-align: top; text-align: left; }\n .cr-187 table.setup th { background: #f1f1f1; border-right: 1px solid #ccc; font-weight: 600; }\n .cr-187 table.headline { border-collapse: collapse; margin: 0.6rem 0; font-size: 0.92rem; }\n .cr-187 table.headline th, .cr-187 table.headline td { padding: 0.5rem 0.7rem; border: 1px solid #ddd; }\n .cr-187 table.headline th { background: #f1f1f1; }\n .cr-187 code { background: #f4f4f4; padding: 0.05rem 0.3rem; border-radius: 3px; font-size: 0.9em; }\n</style>\n\n<div class=\"cr-187\">\n\n<section id=\"tldr\" class=\"tldr\">\n<h2>TL;DR</h2>\n<ul>\n <li><strong>Motivation.</strong> Prior work in this repo (<a href=\"https://github.com/superkaiba/explore-persona-space/issues/212\">#212</a>, <a href=\"https://github.com/superkaiba/explore-persona-space/issues/234\">#234</a>) showed that the “educational reframing is a sleeper agent” pattern from Dubiński et al. reproduces on Qwen instruction-tuned emergent-misalignment finetu12:28:06 AMtool_calltools
tool=TodoWrite
TodoWrite
12:28:06 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
12:28:09 AMtool_calltools
tool=Bash
Bash
12:28:09 AMtool_resulttools
clean-result-critic.md codex-clean-result-critic.md
12:28:12 AMtool_calltools
tool=Bash
Bash
12:28:12 AMtool_resulttools
--- name: claude-clean-result-critic description: Claude critic for clean-result promotion readiness. --- Review whether a clean result is supported, artifact-backed, and ready for promotion. Use the Sagan record as source of truth. Return one allowed verdict and a minimal targeted fix if needed. Post `epm:clean-result-critique` with `review_pair=clean_result`. Rounds are capped at 3; round-3 disagreement alone cannot block promotion. ---CODEX--- --- name: codex-clean-result-critic description: Codex critic for clean-result promotion readiness. --- Review clean-result support, artifact validity, reproducibility notes, and claim boundaries for one Sagan `experiment_number` or clean-result UUID. Use Sagan HTTP APIs only for markers. Post `epm:clean-result-critique-codex` with compact reviewer metadata. Return one allowed verdict. Do not request broad nice-to-have additions.
12:28:29 AMtool_calltools
tool=Agent
Agent
12:28:29 AMtool_resulttools
Async agent launched successfully. agentId: a709dce81ec401051 (internal ID - do not mention to user. Use SendMessage with to: 'a709dce81ec401051' 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/2235303f-c13e-4925-863d-64976ccc8cac/tasks/a709dce81ec401051.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.
12:28:38 AMtool_calltools
tool=Agent
Agent
12:28:38 AMtool_resulttools
Async agent launched successfully. agentId: aec30a3719dd9ab89 (internal ID - do not mention to user. Use SendMessage with to: 'aec30a3719dd9ab89' 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/2235303f-c13e-4925-863d-64976ccc8cac/tasks/aec30a3719dd9ab89.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.
12:28:41 AMassistant_textagent
Round 1 critic pair launched in parallel. Waiting for both verdicts before reconciling.
12:30:56 AMassistant_textagent
Claude critic verdict: `pass`. Waiting for Codex critic.
12:31:00 AMassistant_textagent
Both critics passed in round 1 — no reconciliation needed. Now transitioning to `awaiting_promotion` and flipping the clean_results row to `reviewing`.
12:31:02 AMtool_calltools
tool=TodoWrite
TodoWrite
12:31:02 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
12:31:06 AMtool_calltools
tool=Bash
Bash
12:31:06 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}12:31:10 AMtool_calltools
tool=Bash
Bash
12:31:11 AMtool_resulttools
{
"artifacts": [
{
"agentRunId": null,
"createdAt": "2026-05-14T00:27:41.327Z",
"experimentId": "b273f4ef-2c8d-42ea-80e8-4011d232966f",
"id": "7a08abf8-a18a-45b7-9c3f-84f977f49833",
"kind": "hf_repo",
"metadata": {
"label": "base model (secure variant)"
},
"podLifecycleId": null,
"runId": "b1e23c3d-fa4b-449e-8a84-cd2fd1d6e6b5",
"status": "verified",
"updatedAt": "2026-05-14T00:28:01.012Z",
"uri": "https://huggingface.co/gouki510/gemma2-2b-base-secure",
"verifiedAt": "2026-05-14T00:28:01.012Z"
},
{
"agentRunId": null,12:31:14 AMtool_calltools
tool=Bash
Bash
12:31:17 AMtool_resulttools
{
"experiment": {
"id": "b273f4ef-2c8d-42ea-80e8-4011d232966f",
"status": "awaiting_promotion",
"title": "Chat-template Betley alignment eval on a Gemma2-2b base-LM finetune produces dialogue in only 1 of 8 outputs, but raw-prompt format wasn't tried so dialogue collapse is unidentifiable from chat-template mismatch (MODERATE confidence)",
"turn": "Owner turn: promote clean result"
},
"ok": true
}12:31:22 AMtool_calltools
tool=Bash
Bash
12:31:26 AMtool_resulttools
{"error":"unknown_marker_type","message":"Marker \"awaiting-promotion\" is not in KNOWN_MARKER_TYPES. Add it to apps/web/src/lib/reviewer-loops.ts and .claude/workflow.yaml before posting."}12:31:30 AMtool_calltools
tool=Bash
Bash
12:31:30 AMtool_resulttools
- awaiting_clarifications
- awaiting_approval
- awaiting_promotion
- awaiting_promotion
- epm:code-review
- epm:code-review-codex
- epm:interp-critique
- epm:interp-critique-codex
- epm:clean-result-critique
- epm:clean-result-critique-codex
marker: epm:review-reconcile
- epm:clarify
- epm:plan
- epm:code-review
- epm:code-review-codex
- epm:review-reconcile
- epm:preflight
- epm:launch
- epm:progress
- epm:results
- epm:upload-verification
- epm:interpretation
- epm:interp-critique
- epm:interp-critique-codex
- epm:clean-result-critique
- epm:clean-result-critique-codex
- epm:completion-audit
- epm:done
- epm:failure12:31:36 AMtool_calltools
tool=Bash
Bash
12:31:37 AMtool_resulttools
'epm:code-review', 'epm:code-review-codex', 'epm:review-reconcile', 'epm:interp-critique', 'epm:interp-critique-codex', 'epm:clean-result-critique', 'epm:clean-result-critique-codex', export const KNOWN_MARKER_TYPES = [ 'epm:clarify', 'epm:clarify-answers', 'epm:plan', 'epm:consistency', 'epm:experiment-implementation', 'epm:code-review', 'epm:code-review-codex', 'epm:code-review-reconcile', 'epm:review-reconcile', 'epm:reviewer-verdict', 'epm:reviewer-verdict-codex', 'epm:textbox-answers', 'epm:reviewer-pass', 'epm:reviewer-decision', 'epm:reviewer-ensemble-final', 'epm:test-verdict', 'epm:preflight', 'epm:launch', 'epm:progress', 'epm:results', 'epm:upload-verification', 'epm:interpretation', 'epm:interp-critique', 'epm:interp-critique-codex', 'epm:interp-revision', 'epm:clean-result', 'epm:clean-result-critique', 'epm:clean-result-critique-codex', 'epm:clean-result-critique-reconcile', 'epm:clean-result-lint', 'epm:follow-ups', 'epm:awaiting-promotion',
12:31:41 AMtool_calltools
tool=Bash
Bash
12:31:41 AMtool_resulttools
grep: apps/web/app/api/markers/route.ts: No such file or directory
12:31:45 AMtool_calltools
tool=Grep
Grep
12:31:45 AMtool_resulttools
Found 2 files apps/web/src/lib/reviewer-loops.ts apps/web/app/api/experiments/[id]/workflow-events/route.ts
12:31:48 AMtool_calltools
tool=Grep
Grep
12:31:49 AMtool_resulttools
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 }> }) {
--
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,12:31:54 AMtool_calltools
tool=Bash
Bash
12:31:54 AMtool_resulttools
def cmd_marker(args: argparse.Namespace) -> None:
exp_id = experiment_id(args, args.number)
metadata = parse_json_object(args.metadata_json)
for key, value in {
"review_pair": args.review_pair,
"round": args.round,
"reviewer": args.reviewer,
"verdict": args.verdict,
"required_fix": args.required_fix,
"reconciler_decision": args.reconciler_decision,
"next_workflow_status": args.next_status,
}.items():
if value is not None:
metadata[key] = value
body = {
"eventType": args.event_type,
"markerType": args.marker,
"fromStatus": args.from_status,
"toStatus": args.to_status,
"note": args.note,
"metadata": metadata or None,
--
p = sub.add_parser("marker", aliases=["markers"], help="Post an epm:* workflow marker")
p.add_argument("number", type=int)
p.add_argument("marker")
p.add_argument("--event-type", default="note")
p.add_argument("--from-status")
p.add_argument("--to-status")
p.add_argument("--note")
p.add_argument("--metadata-json")
p.add_argument("--actor-kind", default="agent")
p.add_argument("--review-pair", choices=["code_review", "interpretation", "clean_result"])
p.add_argument("--round", type=int)
p.add_argument("--reviewer")
p.add_argument("--verdict", choices=["pass", "needs_targeted_fix", "blocked_needs_user_decision", "fail_not_worth_continuing"])
p.add_argument("--required-fix")
p.add_argument("--reconciler-decision")
p.add_argument("--next-status", choices=sorted(EXPERIMENT_STATUSES))
p.set_defaults(func=cmd_marker)
p = sub.add_parser("promote", help="Promote pending experiment result")
p.add_argument("number", type=int)
p.add_argument("verdict", choices=["useful", "not-useful", "not_useful"])12:31:59 AMtool_calltools
tool=Bash
Bash
12:32:00 AMtool_resulttools
{
"id": "7dcb2f17-71c2-42d5-8010-1dbd9dd5a1e7",
"ok": true
}12:32:04 AMtool_calltools
tool=TodoWrite
TodoWrite
12:32:04 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
12:32:11 AMassistant_textagent
Done. Experiment #187 promoted: clean_result `fa9cbf50-ab4f-415c-a133-52df03155f14` created with 5 verified artifacts (HF model, WandB run, 3 GitHub-pinned eval JSONs), both critics (Claude + Codex) passed round 1, clean_result flipped to `reviewing`, experiment transitioned to `awaiting_promotion`, `epm:awaiting-promotion` marker posted. Owner-driven promotion via the dashboard's Promote button is the next step. <<<DONE>>>
12:32:11 AMsdk_resultagent
success
12:32:11 AMcompletedagent
Done. Experiment #187 promoted: clean_result `fa9cbf50-ab4f-415c-a133-52df03155f14` created with 5 verified artifacts (HF model, WandB run, 3 GitHub-pinned eval JSONs), both critics (Claude + Codex) passed round 1, clean_result flipped to `reviewing`, experiment transitioned to `awaiting_promotion`, `epm:awaiting-promotion` marker posted. Owner-driven promotion via the dashboard's Promote button is the next step.
Discussion
Comments
No comments yet.