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Initial public upload from Projekte/Meta3.0

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  1. .codex/config.toml +31 -0
  2. .gitignore +16 -0
  3. ARCHITECTURE.md +115 -0
  4. GOAL +286 -0
  5. QUESTIONS.md +34 -0
  6. README.md +84 -0
  7. V2Fehler +53 -0
  8. config/experiment_design.json +71 -0
  9. config/process_model.json +112 -0
  10. config/questions.json +68 -0
  11. config/run_profile.example.json +34 -0
  12. data/.gitkeep +1 -0
  13. docs/META3_PROCESS.md +94 -0
  14. docs/OVERNIGHT_RUNBOOK.md +237 -0
  15. docs/SAFETY.md +107 -0
  16. docs/evals/EVAL_meta3_improvement_over_meta2.md +159 -0
  17. reports/.gitkeep +1 -0
  18. requirements/LOCKED.example.md +45 -0
  19. requirements/PENDING.md +33 -0
  20. runs/.gitkeep +1 -0
  21. runs/20260615T210314Z_overnight-prepare/manifests/batch_plan.json +73 -0
  22. runs/20260615T210314Z_overnight-prepare/manifests/run_manifest.json +106 -0
  23. runs/20260615T210908Z_improved-process-smoke/manifests/baseline_snapshot.json +43 -0
  24. runs/20260615T210908Z_improved-process-smoke/manifests/batch_plan.json +151 -0
  25. runs/20260615T210908Z_improved-process-smoke/manifests/run_manifest.json +122 -0
  26. runs/20260615T210908Z_improved-process-smoke/outputs/workpackets/calibration_packet_manifest.json +25 -0
  27. runs/20260615T210908Z_improved-process-smoke/outputs/workpackets/calibration_workpackets.jsonl +0 -0
  28. runs/20260615T210908Z_improved-process-smoke/outputs/workpackets/claim_ledger_packet_manifest.json +26 -0
  29. runs/20260615T210908Z_improved-process-smoke/outputs/workpackets/claim_ledger_workpackets.jsonl +0 -0
  30. runs/20260615T210908Z_improved-process-smoke/reports/RUN_READINESS_REPORT.md +16 -0
  31. runs/20260615T210908Z_improved-process-smoke/reports/run_readiness_report.json +37 -0
  32. runs/20260615T210908Z_improved-process-smoke/state/calibration_call_ledger.jsonl +10 -0
  33. runs/20260615T210908Z_improved-process-smoke/state/claim_ledger_call_ledger.jsonl +90 -0
  34. runs/20260615T211556Z_overnight-ready-smoke/logs/calibration_runner_dry_run.json +15 -0
  35. runs/20260615T211556Z_overnight-ready-smoke/logs/claim_ledger_runner_dry_run.json +15 -0
  36. runs/20260615T211556Z_overnight-ready-smoke/manifests/baseline_snapshot.json +43 -0
  37. runs/20260615T211556Z_overnight-ready-smoke/manifests/batch_plan.json +151 -0
  38. runs/20260615T211556Z_overnight-ready-smoke/manifests/run_manifest.json +122 -0
  39. runs/20260615T211556Z_overnight-ready-smoke/outputs/calibration_answers.jsonl +1 -0
  40. runs/20260615T211556Z_overnight-ready-smoke/outputs/claim_ledger.jsonl +0 -0
  41. runs/20260615T211556Z_overnight-ready-smoke/outputs/parsed/calibration_invalid.jsonl +0 -0
  42. runs/20260615T211556Z_overnight-ready-smoke/outputs/parsed/calibration_parsed.jsonl +1 -0
  43. runs/20260615T211556Z_overnight-ready-smoke/outputs/parsed/claim_ledger_invalid.jsonl +0 -0
  44. runs/20260615T211556Z_overnight-ready-smoke/outputs/parsed/claim_ledger_parsed.jsonl +0 -0
  45. runs/20260615T211556Z_overnight-ready-smoke/outputs/responses/calibration/calibration__q01_roter_faden__shard-0001.json +19 -0
  46. runs/20260615T211556Z_overnight-ready-smoke/outputs/workpackets/calibration_packet_manifest.json +25 -0
  47. runs/20260615T211556Z_overnight-ready-smoke/outputs/workpackets/calibration_workpackets.jsonl +0 -0
  48. runs/20260615T211556Z_overnight-ready-smoke/outputs/workpackets/claim_ledger_packet_manifest.json +26 -0
  49. runs/20260615T211556Z_overnight-ready-smoke/outputs/workpackets/claim_ledger_workpackets.jsonl +0 -0
  50. runs/20260615T211556Z_overnight-ready-smoke/reports/CALIBRATION_COLLECTION_REPORT.md +15 -0
.codex/config.toml ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Coding MCPs: project-local registration (2026-09-07).
2
+
3
+ [mcp_servers.serena]
4
+ command = "/home/smlflg/.local/share/coding-mcp/serena/.venv/bin/serena"
5
+ args = ["start-mcp-server", "--context=codex", "--project", "/home/smlflg/Projekte/Meta3.0", "--enable-web-dashboard", "false", "--open-web-dashboard", "false", "--enable-gui-log-window", "false"]
6
+ cwd = "/home/smlflg/Projekte/Meta3.0"
7
+ enabled = true
8
+ startup_timeout_sec = 120
9
+ tool_timeout_sec = 180
10
+
11
+ [mcp_servers.serena.env]
12
+ "SERENA_HOME" = "/home/smlflg/.local/share/coding-mcp/serena/state"
13
+
14
+ [mcp_servers.gitnexus]
15
+ command = "/home/smlflg/.nvm/versions/node/v24.13.0/bin/node"
16
+ args = ["/home/smlflg/.local/share/coding-mcp/gitnexus/node_modules/gitnexus/dist/cli/index.js", "mcp"]
17
+ cwd = "/home/smlflg/Projekte/Meta3.0"
18
+ enabled = true
19
+ startup_timeout_sec = 120
20
+ tool_timeout_sec = 180
21
+
22
+ [mcp_servers.gitnexus.env]
23
+ "GITNEXUS_HOME" = "/home/smlflg/.local/share/coding-mcp/gitnexus/runtime"
24
+
25
+ [mcp_servers.context7]
26
+ command = "/home/smlflg/.nvm/versions/node/v24.13.0/bin/node"
27
+ args = ["/home/smlflg/.local/share/coding-mcp/context7/node_modules/@upstash/context7-mcp/dist/index.js"]
28
+ cwd = "/home/smlflg/Projekte/Meta3.0"
29
+ enabled = true
30
+ startup_timeout_sec = 120
31
+ tool_timeout_sec = 180
.gitignore ADDED
@@ -0,0 +1,16 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Runtime outputs
2
+ runs/*/
3
+ logs/*
4
+ reports/*.tmp
5
+ data/tmp/
6
+
7
+ # Python
8
+ __pycache__/
9
+ *.pyc
10
+ .venv/
11
+
12
+ # Local secrets
13
+ .env
14
+ .env.*
15
+ *.key
16
+
ARCHITECTURE.md ADDED
@@ -0,0 +1,115 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Meta3.0 Architecture
2
+
3
+ Stand: 2026-06-15
4
+
5
+ ## Ziel
6
+
7
+ Meta3.0 soll eine sehr grosse, ueber Nacht laufende Analyse der bisherigen
8
+ Agenten-/Session-Historie vorbereiten. Der Ordner soll Anforderungen aufnehmen,
9
+ Runs reproduzierbar manifestieren und Batch-/Budgetplanung sichtbar machen.
10
+
11
+ Meta3.0 ist nicht "Meta2 nochmal". Meta2.0 ist die Datenmaschine: Inventory,
12
+ Layer-1-Digests, Backfill, stabile Qwen-Batches. Meta3.0 ist der bessere
13
+ Versuchsaufbau darueber: kontrollierte Fragelogik, Evidenzpflicht,
14
+ Gegenbeweis-Suche, Validitaets-Gates und owner-faehige Verdichtung.
15
+
16
+ ## Nicht-Ziel
17
+
18
+ - Keine unkontrollierten API-Calls beim Setup.
19
+ - Kein Legacy-Frage-Fanout ueber alle Rohsessions.
20
+ - Keine Edits in globalen Profilen, MCP-Configs, Registries oder anderen
21
+ Projekten.
22
+ - Keine Secrets in Dateien.
23
+
24
+ ## Datenlinie
25
+
26
+ ```text
27
+ Meta2.0 Layer 0 Inventory
28
+ -> Meta2.0 Layer 1 session_digests.jsonl
29
+ -> Meta3.0 experiment design
30
+ -> Meta3.0 question set + claim/evidence contract
31
+ -> Meta3.0 batch plan + validity gates
32
+ -> spaeter: Layer 2/3 Antworten mit Evidenz, Gegenbelegen und Owner-Fazit
33
+ ```
34
+
35
+ Meta3.0 liest vorhandene Meta2.0-Artefakte read-only:
36
+
37
+ - `/home/smlflg/Projekte/Meta2.0/data/session_inventory.json`
38
+ - `/home/smlflg/Projekte/Meta2.0/data/layer1/session_digests.jsonl`
39
+ - `/home/smlflg/Projekte/Meta2.0/data/layer1/audit.json`
40
+
41
+ ## Run-Vertrag
42
+
43
+ Jeder Run bekommt einen eigenen Ordner:
44
+
45
+ ```text
46
+ runs/<timestamp>_<slug>/
47
+ manifests/
48
+ run_manifest.json
49
+ batch_plan.json
50
+ state/
51
+ outputs/
52
+ logs/
53
+ tmp/
54
+ ```
55
+
56
+ `run_manifest.json` ist die Wahrheit fuer:
57
+
58
+ - welche Fragen,
59
+ - welches Profil,
60
+ - welche Quellen,
61
+ - welche Env-Variablen vorhanden waren,
62
+ - welche Sicherheitsflags aktiv waren.
63
+
64
+ `batch_plan.json` ist die Wahrheit fuer:
65
+
66
+ - wie viele Sessions/Digests aktuell existieren,
67
+ - ob diese Zahl aus Audit-Unique-Digests oder rohen JSONL-Zeilen stammt,
68
+ - wie viele Layer-1 Backfill-Calls geschaetzt werden,
69
+ - wie viele Frage-/Synthese-Calls geschaetzt werden,
70
+ - welche Gates vor dem Start noch offen sind.
71
+
72
+ ## Meta3 Improvement Contract
73
+
74
+ Ein Meta3-Run darf nur als Verbesserung gegenueber Meta2 gelten, wenn er mehr
75
+ leistet als "mehr Calls":
76
+
77
+ 1. **Stratifizierte Evidenz statt blinder Masse.** Antworten muessen Quellen
78
+ ueber Sessions, Zeitraeume und Tool-Familien streuen, damit 954 Codex-Files
79
+ nicht automatisch alle anderen Spuren ueberrollen.
80
+ 2. **Claim Ledger statt Essay.** Jede starke Aussage braucht mindestens eine
81
+ positive Evidenz, eine Unsicherheit oder ein Gegenbeispiel und eine
82
+ Rueckfuehrung auf konkrete Artefakte.
83
+ 3. **Gegenbeweis-Pflicht.** Fuer jede Hauptthese wird aktiv nach Sessions
84
+ gesucht, die sie schwaechen. Fehlt Gegenbeweis-Suche, ist das Ergebnis nur
85
+ Rohsynthese.
86
+ 4. **Validitaet vor Score.** Kein "finales Ergebnis", wenn Quellenabdeckung,
87
+ Run-Manifest, Modell-/Prompt-Versionen, Call-Ledger oder Output-Artefakte
88
+ fehlen.
89
+ 5. **Fragen als Graph, nicht Liste.** Q01-Q09 erzeugen Zwischenbefunde,
90
+ Konflikte und offene Wahrheiten; Q10 darf erst daraus verdichten.
91
+ 6. **Owner-Fazit statt Agentenlarm.** Jede Antwort endet mit einer kanonischen
92
+ These, Grenzen der Aussage und einem naechsten menschlich sinnvollen Schritt.
93
+
94
+ Der maschinenlesbare Vertrag steht in `config/experiment_design.json`. Die
95
+ blockierende Eval-Spezifikation steht in
96
+ `docs/evals/EVAL_meta3_improvement_over_meta2.md`.
97
+
98
+ ## Call-Strategie
99
+
100
+ Der grosse Wert kommt nicht aus 10 Mio Fragen gegen Rohdaten, sondern aus
101
+ einmaligem, question-agnostic Digesting. Danach duerfen Fragen gegen die
102
+ verdichteten Layer laufen.
103
+
104
+ Meta3 nutzt die 10-Mio-Call-Grenze als Budget-Oberkante, nicht als Startbefehl.
105
+ Die intelligente Reihenfolge ist:
106
+
107
+ 1. kleine Kalibrierung gegen vorhandene Digests,
108
+ 2. Abgleich der Antwortqualitaet gegen den Improvement Contract,
109
+ 3. kontrollierter Layer-1-Backfill,
110
+ 4. erst danach breite Frage- und Synthese-Laeufe.
111
+
112
+ Startregel:
113
+
114
+ - sichere Meta2-Einstellung respektieren: `batch_size=3`, `concurrency=2`.
115
+ - nur hochdrehen, wenn Fehlerrate, 429-Rate und Datenqualitaet stabil bleiben.
GOAL ADDED
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1
+ Ja. **3800 Agenten-Sessions sind nicht Chatverlauf. Das ist ein externer Abdruck deines Denkens.**
2
+
3
+ Wenn du daraus die größte Meta-Analyse deines Lebens machen willst, ist die Hauptfrage:
4
+
5
+ ## **„Welches wiederkehrende Problem versucht mein Denken seit 3800 Sessions zu lösen — und welche Form von Leben, Arbeit und Interface entsteht daraus?“**
6
+
7
+ Nicht: „Was habe ich alles gemacht?“
8
+ Sondern: **„Was wollte durch diese ganze agentische Arbeit sichtbar werden?“**
9
+
10
+ Ich würde die Analyse in 10 große Fragen schneiden:
11
+
12
+ ---
13
+
14
+ ## 1. Der rote Faden
15
+
16
+ **Welche 5 Themen kehren immer wieder zurück, egal unter welchem Projektnamen?**
17
+
18
+ Nicht Projektliste. Musterliste.
19
+
20
+ Vermutlich sowas wie:
21
+
22
+ * Agent Control / HAI / Owner Interface
23
+ * Überforderung durch zu viel Output
24
+ * Produktisierung von Denken
25
+ * Lernen vs. Delegieren
26
+ * Autonomie ohne Kontrollverlust
27
+ * Mensch als knappster Faktor
28
+ * Systeme bauen, die dich selbst halten
29
+
30
+ Die Frage ist: **Was ist kein Projekt, sondern ein Lebensmotiv?**
31
+
32
+ ---
33
+
34
+ ## 2. Das eigentliche Problem
35
+
36
+ **Welches Problem habe ich immer wieder neu formuliert, aber nie final benannt?**
37
+
38
+ Vielleicht war es nie nur:
39
+
40
+ > „Wie baue ich bessere Agenten?“
41
+
42
+ Sondern eher:
43
+
44
+ > **„Wie kann ein Mensch mit zu viel innerer Parallelität, zu viel Möglichkeit und zu viel KI-Output handlungsfähig bleiben?“**
45
+
46
+ Das wäre nicht nur Technik. Das wäre deine Produkt-, Lebens- und Forschungsachse.
47
+
48
+ ---
49
+
50
+ ## 3. Die wiederkehrende Schleife
51
+
52
+ **Welche Schleife wiederholt sich in meinen Sessions?**
53
+
54
+ Beispielstruktur:
55
+
56
+ 1. Begeisterung / Erkenntnis
57
+ 2. Fanout / viele Agenten / viele Projekte
58
+ 3. Output-Explosion
59
+ 4. Ownership-Verlust / mentale Überladung
60
+ 5. Wunsch nach Kontrollsystem
61
+ 6. Neues Harness / neues HAI-Konzept
62
+ 7. Wieder von vorne, aber eine Ebene höher
63
+
64
+ Die Meta-Frage:
65
+
66
+ ## **„Wo war Fortschritt — und wo war nur rekursiv schönerer Kontrollverlust?“**
67
+
68
+ Brutal wichtig.
69
+
70
+ ---
71
+
72
+ ## 4. Die stärksten Beweise
73
+
74
+ **Welche Sessions haben wirklich Weltkontakt erzeugt?**
75
+
76
+ Also nicht nur gute Gedanken, sondern sichtbare Realität:
77
+
78
+ * Website gebaut
79
+ * Hackathon besucht
80
+ * Person beeindruckt
81
+ * Lead bekommen
82
+ * Projekt verkauft / angeboten
83
+ * Code läuft
84
+ * Gespräch geführt
85
+ * Demo gezeigt
86
+ * Entscheidung getroffen
87
+ * Verhalten verändert
88
+
89
+ Die Frage:
90
+
91
+ ## **„Welche Agenten-Sessions haben echte irreversible Evidenz in der Welt erzeugt?“**
92
+
93
+ Das trennt Vision von Rausch.
94
+
95
+ ---
96
+
97
+ ## 5. Die Selbsttäuschungen
98
+
99
+ **Wo habe ich Komplexität erzeugt, um Entscheidung, Angst oder Abschluss zu vermeiden?**
100
+
101
+ Das ist keine Anklage. Das ist Gold.
102
+
103
+ Frage:
104
+
105
+ > **„Welche Projekte waren echte Architektur — und welche waren Flucht in Meta-Architektur?“**
106
+
107
+ Oder noch härter:
108
+
109
+ > **„Wann habe ich ein neues System gebaut, weil ich eigentlich eine alte Entscheidung hätte treffen müssen?“**
110
+
111
+ ---
112
+
113
+ ## 6. Die besten Arbeitsmodi
114
+
115
+ **In welchen Konstellationen war ich wirklich stark?**
116
+
117
+ Nicht abstrakt. Konkret:
118
+
119
+ * Welches Modell?
120
+ * Welches Harness?
121
+ * Welche Tageszeit?
122
+ * Welche emotionale Lage?
123
+ * Wie viele Agenten?
124
+ * Mit oder ohne Menschenkontakt?
125
+ * Vor oder nach Voice Notes?
126
+ * Mit Preview / Tests / Git?
127
+ * Mit klarer Deadline?
128
+ * Mit sozialem Anlass?
129
+
130
+ Die Frage:
131
+
132
+ ## **„Unter welchen Bedingungen werde ich durch KI größer — und unter welchen werde ich fragmentiert?“**
133
+
134
+ Das ist deine persönliche Agentic-Operations-Science.
135
+
136
+ ---
137
+
138
+ ## 7. Der Ownership-Test
139
+
140
+ **Wann haben Agenten mir Macht gegeben — und wann haben sie mir mein mentales Modell geraubt?**
141
+
142
+ Das ist vielleicht die wichtigste HAI-Frage überhaupt.
143
+
144
+ Für jede wichtige Session:
145
+
146
+ * Hatte ich danach mehr Klarheit?
147
+ * Konnte ich erklären, was passiert ist?
148
+ * Konnte ich Nein sagen?
149
+ * Konnte ich weiterbauen?
150
+ * War das Ergebnis meines — oder fremd geworden?
151
+
152
+ Kernfrage:
153
+
154
+ ## **„Welche Art von KI-Arbeit erhält meine Autorschaft?“**
155
+
156
+ ---
157
+
158
+ ## 8. Die Produktlinie aus deinem Leben
159
+
160
+ **Welche deiner persönlichen Probleme sind gleichzeitig Marktprobleme?**
161
+
162
+ Hier liegt vermutlich der größte Schatz.
163
+
164
+ Nicht jedes persönliche Problem ist ein Produkt.
165
+ Aber manche schon, wenn sie viele andere auch haben.
166
+
167
+ Bei dir sehr wahrscheinlich:
168
+
169
+ > Menschen mit hoher kognitiver Parallelität brauchen ein Interface, das Gedanken, Agenten, Aufgaben, Projekte und Entscheidungen so filtert, dass sie nicht an ihrer eigenen Produktivität ersticken.
170
+
171
+ Das ist HAI / HAE / Extended Mind / Cognitive Airbag.
172
+
173
+ Frage:
174
+
175
+ ## **„Welche wiederkehrende Selbstrettung ist eigentlich ein Produkt für andere?“**
176
+
177
+ ---
178
+
179
+ ## 9. Die unfertigen Wahrheiten
180
+
181
+ **Welche Sätze tauchen immer wieder auf, aber wurden nie operationalisiert?**
182
+
183
+ Zum Beispiel:
184
+
185
+ * „Ich bin der einzige knappe Faktor.“
186
+ * „HAI muss vertikal wachsen.“
187
+ * „Human not out of the loop.“
188
+ * „Guardrails statt Micromanagement.“
189
+ * „Owner Interface.“
190
+ * „Agentic Thalamus.“
191
+ * „Token-Freeze, aber nicht Denk-Freeze.“
192
+ * „Abschlussenergie, keine Erlaubnis.��
193
+
194
+ Die Frage:
195
+
196
+ ## **„Welche meiner eigenen Sätze sind keine Notizen mehr, sondern Betriebssystem-Regeln?“**
197
+
198
+ Diese Sätze gehören nicht in ein Archiv.
199
+ Die gehören in deine Arbeitsverfassung.
200
+
201
+ ---
202
+
203
+ ## 10. Die finale Verdichtung
204
+
205
+ Am Ende willst du nicht 500 Seiten Analyse.
206
+
207
+ Du willst **eine operative Selbsterkenntnis**:
208
+
209
+ ## **„Was ist mein eigentliches Werk?“**
210
+
211
+ Nicht Job. Nicht Projekt. Nicht Startup-Idee.
212
+
213
+ Werk.
214
+
215
+ Meine Hypothese aus dem, was ich von dir kenne:
216
+
217
+ > Dein eigentliches Werk ist nicht „Agenten bauen“.
218
+ > Dein Werk ist: **die Mensch-Agent-Schnittstelle so zu gestalten, dass menschliche Aufmerksamkeit, Autorschaft und Verantwortung in einer Welt skalierbarer KI-Arbeit nicht zerbrechen.**
219
+
220
+ Das ist groß genug.
221
+ Und es passt zu deinen 3800 Sessions.
222
+
223
+ ---
224
+
225
+ # Der richtige Analyseauftrag
226
+
227
+ Wenn du diese Sessions wirklich analysierst, würde ich nicht fragen:
228
+
229
+ > „Fasse meine Agenten-Sessions zusammen.“
230
+
231
+ Zu schwach.
232
+
233
+ Ich würde diesen Master-Prompt benutzen:
234
+
235
+ ```text
236
+ Analysiere diese Agenten-Sessions nicht als Chatverläufe, sondern als externes Denkarchiv eines Menschen.
237
+
238
+ Ziel:
239
+ Finde die wiederkehrenden Muster, Motive, Schleifen, Stärken, Selbsttäuschungen, Produktideen, Arbeitsmodi und Lebensfragen, die sich über alle Sessions hinweg zeigen.
240
+
241
+ Extrahiere:
242
+
243
+ 1. Die 10 häufigsten wiederkehrenden Themen.
244
+ 2. Die 10 tiefsten wiederkehrenden Probleme.
245
+ 3. Die wichtigsten Projektlinien und wie sie miteinander verwandt sind.
246
+ 4. Die wiederkehrenden Arbeits- und Überforderungszyklen.
247
+ 5. Die Momente echter Welt-Evidenz.
248
+ 6. Die Momente von Drift, Scope Creep und Kontrollverlust.
249
+ 7. Die Bedingungen, unter denen KI-Arbeit dem Menschen mehr Ownership gibt.
250
+ 8. Die Bedingungen, unter denen KI-Arbeit Ownership raubt.
251
+ 9. Die stärksten selbstformulierten Prinzipien/Sätze.
252
+ 10. Die Produkt-, Forschungs- und Lebensachse, die aus dem Gesamtmaterial sichtbar wird.
253
+
254
+ Bewerte nicht moralisch.
255
+ Verdichte architektonisch.
256
+
257
+ Am Ende liefere:
258
+ - eine One-Page-Life-Architecture
259
+ - eine Timeline der Entwicklungsphasen
260
+ - eine Liste wiederkehrender Schleifen
261
+ - eine Liste persönlicher Operating Principles
262
+ - eine Liste zu parkender Projekte
263
+ - eine Liste der 3 wichtigsten nächsten realen Schritte
264
+ - eine These: „Was ist das eigentliche Werk dieses Menschen?“
265
+ ```
266
+
267
+ ---
268
+
269
+ # Die gefährlichste Frage
270
+
271
+ Die Frage, die weh tun könnte, aber maximal wertvoll ist:
272
+
273
+ ## **„Welche meiner 3800 Sessions haben mein Leben wirklich verändert — und welche haben mir nur das Gefühl gegeben, dass sich etwas verändert?“**
274
+
275
+ Das ist der Schnitt zwischen Erkenntnis und Illusion.
276
+
277
+ ---
278
+
279
+ # Die schönste Frage
280
+
281
+ ## **„Welche Version von mir war in diesen Sessions schon sichtbar, bevor ich selbst bereit war, sie ernst zu nehmen?“**
282
+
283
+ Das ist keine kleine Analyse.
284
+
285
+ Das ist Archäologie deiner eigenen Zukunft.
286
+
QUESTIONS.md ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Meta3.0 Startfragen
2
+
3
+ Quelle: `GOAL`
4
+
5
+ Diese Fragen sind ein Start-Set. Samuels kommende Anforderungen duerfen sie
6
+ ersetzen, schaerfen oder neu priorisieren.
7
+
8
+ 1. Der rote Faden: Welche fuenf Themen kehren ueber Projektgrenzen hinweg
9
+ immer wieder zurueck?
10
+ 2. Das eigentliche Problem: Welches Problem wurde immer wieder neu formuliert,
11
+ aber nie final benannt?
12
+ 3. Die wiederkehrende Schleife: Wo war Fortschritt, und wo war nur rekursiv
13
+ schoenerer Kontrollverlust?
14
+ 4. Die staerksten Beweise: Welche Sessions haben echten Weltkontakt erzeugt?
15
+ 5. Die Selbsttaeuschungen: Wo wurde Komplexitaet erzeugt, um Entscheidung,
16
+ Angst oder Abschluss zu vermeiden?
17
+ 6. Die besten Arbeitsmodi: Unter welchen Bedingungen macht KI Samuel groesser,
18
+ und unter welchen fragmentiert sie ihn?
19
+ 7. Der Ownership-Test: Welche KI-Arbeit erhaelt Samuels Autorschaft?
20
+ 8. Die Produktlinie aus dem eigenen Leben: Welche wiederkehrende Selbstrettung
21
+ ist ein Produkt fuer andere?
22
+ 9. Die unfertigen Wahrheiten: Welche eigenen Saetze sind Betriebssystem-Regeln?
23
+ 10. Die finale Verdichtung: Was ist Samuels eigentliches Werk?
24
+
25
+ ## Antwortvertrag
26
+
27
+ Jede spaetere Antwort braucht:
28
+
29
+ - These in einem Satz.
30
+ - Evidenz aus Session-/Digest-Artefakten.
31
+ - Gegenbelege oder Unsicherheit.
32
+ - Transfergrenze.
33
+ - Konkrete naechste Handlung.
34
+
README.md ADDED
@@ -0,0 +1,84 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Meta3.0 Overnight Control Plane
2
+
3
+ Zweck: Dieser Ordner bereitet grosse Qwen/API-Auswertungen vor, ohne sie
4
+ versehentlich zu starten.
5
+
6
+ ## Kanonische Linie
7
+
8
+ - `Meta3.0` ist der neue Kontrollordner fuer Fragen, Anforderungen, Run-
9
+ Manifeste und Overnight-Planung.
10
+ - `Meta2.0` bleibt die aktuelle Daten-Pipeline fuer Session-Inventar und
11
+ Layer-1-Digests.
12
+ - `META2.0` ist Legacy-Frage-Fanout und nicht die Arbeitslinie.
13
+
14
+ Wichtig: Fanout nach Daten-Shards, nicht nach Fragen. Erst Session-Digests
15
+ stabilisieren, dann Fragen beantworten.
16
+
17
+ Der Unterschied: Meta2.0 erzeugt verwertbare Session-Digests. Meta3.0 prueft,
18
+ welche Aussagen daraus ueberhaupt belastbar sind. Meta3.0 ist deshalb
19
+ Experiment-Design, Evidenzvertrag, Gegenbeweis-Suche und Owner-Synthese ueber
20
+ Meta2.0, nicht nur mehr API-Budget.
21
+
22
+ Der Meta3-Prozess steht in `docs/META3_PROCESS.md` und
23
+ `config/process_model.json`. Der erste sinnvolle Loop ist Kalibrierung vor
24
+ Scale-up, nicht sofort 10 Mio Calls.
25
+
26
+ ## Aktueller Stand der Vorarbeit
27
+
28
+ Quelle: `/home/smlflg/Projekte/Meta2.0`
29
+
30
+ - Inventory: 1,104 Session-Dateien.
31
+ - Zuletzt beobachteter Layer-1 Stand im lokalen Smoke: 216 / 1,104.
32
+ - Zuletzt beobachtete Coverage im lokalen Smoke: 19.57%.
33
+ - Stable setting laut Meta2.0: `--batch-size 3 --concurrency 2`.
34
+
35
+ ## Ordner
36
+
37
+ - `config/` - Fragen und Run-Profil.
38
+ - `docs/evals/` - blockierende Eval-Spezifikationen fuer den Versuchsaufbau.
39
+ - `requirements/` - Samuels kommende Anforderungen und Intake.
40
+ - `scripts/` - lokale Prepare-/Plan-/Smoke-Scripts, keine API-Calls.
41
+ - `runs/` - pro Overnight-Versuch ein eigener Run-Ordner.
42
+ - `data/` - Meta3-spezifische Zwischenartefakte.
43
+ - `reports/` - menschliche Reports und Status.
44
+ - `logs/` - lokale Logs.
45
+
46
+ ## Schnellstart
47
+
48
+ ```bash
49
+ python3 scripts/meta3_smoke.py
50
+ python3 scripts/meta3_prepare.py
51
+ python3 scripts/meta3_plan_batches.py
52
+ python3 scripts/meta3_freeze_sources.py
53
+ python3 scripts/meta3_build_workpackets.py --mode calibration --sample-size 24
54
+ python3 scripts/meta3_validate_run.py
55
+ python3 scripts/meta3_run_packets.py --mode calibration --limit 1
56
+ python3 scripts/meta3_runner_status.py
57
+ python3 scripts/meta3_preflight.py --mode calibration --accepted-call-budget 10
58
+ python3 scripts/meta3_collect_responses.py --mode calibration --allow-empty
59
+ python3 scripts/meta3_morning_report.py
60
+ python3 scripts/meta3_orchestrate_local.py --accepted-call-budget 10000000
61
+ ```
62
+
63
+ Das erstellt einen Run-Ordner unter `runs/` und einen Batchplan. Es ruft keine
64
+ API auf. Der Workpacket-Schritt erzeugt Prompts und Call-Ledger fuer einen
65
+ spaeteren Runner, ebenfalls ohne Netzwerk. Der Runner-Befehl ohne
66
+ `--execute-network` ist nur ein Dry-Run.
67
+
68
+ Wenn `meta3_build_workpackets.py` mit `Source drift refused` stoppt, ist das ein
69
+ gewollter Gate: Meta2.0-Audit und rohe Digest-Datei sind nicht synchron. Dann
70
+ entweder erst `python3 scripts/meta3_freeze_sources.py` ausfuehren und gegen den
71
+ lokalen Snapshot arbeiten, oder den Meta2-Audit aktualisieren.
72
+
73
+ ## Start-Gate fuer spaeter
74
+
75
+ Ein echter Overnight-Lauf darf erst starten, wenn:
76
+
77
+ 1. `requirements/PENDING.md` durch Samuels konkrete Anforderungen ersetzt oder
78
+ ergaenzt wurde.
79
+ 2. `python3 scripts/meta3_smoke.py` ohne ERROR laeuft.
80
+ 3. `python3 scripts/meta3_prepare.py` ein Run-Manifest erzeugt.
81
+ 4. `python3 scripts/meta3_plan_batches.py` einen Batchplan erzeugt.
82
+ 5. Der geplante Call-/Kosten-/Concurrency-Rahmen explizit akzeptiert ist.
83
+ 6. Der Meta3-Improvement-Vertrag aus `config/experiment_design.json` fuer den
84
+ konkreten Lauf nicht verletzt wird.
V2Fehler ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ... entweder die Reports der Versuchsaufbau oder diene interpreatione
2
+ war flasch, ich bin sehr viel besser geworden im projekt abschluss,
3
+ computer audid,
4
+
5
+ ● Berechtigter Einwand — und ich nehme ihn ernst, nicht defensiv. Lass
6
+ mich kurz prüfen, ob ich die Gegenevidenz (Computer-Audit) überhaupt
7
+ greifen kann, dann sag ich dir, wo meine Interpretation wahrscheinlich
8
+ falsch war:
9
+
10
+ ● Bash(cd ~/Projekte
11
+ echo "=== computer audit daten? ==="…)
12
+ ⎿  === computer audit daten? ===
13
+ ./computer-day-audit-2026
14
+ ./computer-day-audit-2026/data/activity-2026.json
15
+ … +31 lines (ctrl+o to expand)
16
+
17
+ ● Du hast recht — und es ist der Versuchsaufbau, nicht nur
18
+ Interpretation. Ich hab den Fehler dann verstärkt, indem ich aus einem
19
+ schiefen Sample übergeneralisiert habe. Die Daten geben dir recht,
20
+ konkret:
21
+
22
+ Drei Fehler im Setup
23
+
24
+ 1. Stichprobe: Report 05 sagt wörtlich „in den 216 Sessions". Du hast
25
+ aber ~3.800 Sessions / 12.440 Prompts / 2.791 im Computer-Audit.
26
+ META2.0 hat also ~5% deines Korpus analysiert — ein Ausschnitt, kein
27
+ Querschnitt.
28
+ 2. Zeit-Bias (der entscheidende): Das session_inventory zeigt die
29
+ analysierten Codex-Sessions datiert 2026-05-10 bis 05-20. Heute ist
30
+ 06-15. Der Korpus ist ~einen Monat alt, geклumpt auf Mitte Mai. Wenn du
31
+ dich im letzten Monat im Abschließen verbessert hast — dieser Korpus
32
+ kann das gar nicht sehen. Er misst dein Mai-Ich.
33
+ 3. Falsche Proxy-Metrik: Analysiert wurden Agenten-Gespräche. Mit einem
34
+ Agenten redest du, um zu planen/explorieren — naturgemäß
35
+ read-only-lastig. Das Abschließen passiert off-transcript: direkter
36
+ Code, Commits, der Refactor-Schwarm, die Audit-Aktivität.
37
+ Transcript-Mining ist blind fürs Finishing.
38
+
39
+ Heißt: Die Reports haben ein echtes vergangenes Muster in einem
40
+ planungs-lastigen Mai-Ausschnitt gefunden. Daraus „Samuel schließt
41
+ nicht ab" zu machen, ist genau die Überreichweite — mein Fehler.
42
+
43
+ Die Gegenevidenz lag direkt daneben
44
+
45
+ - Heute Nacht: FireTracker/ShortcutCounter/Sonnenuhr/TypoTuner — alle
46
+ committet, Tests grün, Repair-Runs bis sauber. Das ist Abschließen, in
47
+ Reinform.
48
+ - Ein Dateisystem voller fertiger, getesteter Projekte koexistiert mit
49
+ einem Report, der sagt „führt selten aus". Dieser Widerspruch ist der
50
+ Beweis, dass der Korpus das Falsche gemessen hat.
51
+ - computer-day-audit-2026/data/activity-2026.json existiert — die
52
+ Ground Truth fürs „was hab ich wirklich fertig gemacht" — und die
53
+ Reports haben sie nicht genutzt.
config/experiment_design.json ADDED
@@ -0,0 +1,71 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "schema": "meta3.experiment_design.v1",
3
+ "status": "active_design_contract",
4
+ "baseline_project": "/home/smlflg/Projekte/Meta2.0",
5
+ "baseline_role": "Meta2.0 provides inventory, Layer-1 digests, audit state, and stable Qwen batch mechanics.",
6
+ "improvement_thesis": "Meta3.0 improves Meta2.0 by adding experimental control, evidence discipline, counterevidence search, validity gates, and owner-ready synthesis.",
7
+ "non_goals": [
8
+ "blindly increase API calls",
9
+ "fan out every question against every raw session",
10
+ "treat nice prose as evidence",
11
+ "publish final answers before coverage and validity gates pass"
12
+ ],
13
+ "improvement_requirements": [
14
+ {
15
+ "id": "stratified_evidence",
16
+ "meaning": "Evidence must be sampled across source families, time ranges, and session types instead of only following the largest source bucket."
17
+ },
18
+ {
19
+ "id": "claim_ledger",
20
+ "meaning": "Strong claims must carry supporting evidence, uncertainty, counterevidence status, and artifact references."
21
+ },
22
+ {
23
+ "id": "counterevidence_pass",
24
+ "meaning": "Every main thesis needs an explicit pass looking for sessions that weaken or contradict it."
25
+ },
26
+ {
27
+ "id": "validity_before_synthesis",
28
+ "meaning": "Coverage, manifest, prompts, model identity, call ledger, and output artifacts are checked before final synthesis."
29
+ },
30
+ {
31
+ "id": "question_graph",
32
+ "meaning": "Q10 depends on Q01-Q09 intermediate findings, conflicts, and open uncertainties."
33
+ },
34
+ {
35
+ "id": "owner_ready_output",
36
+ "meaning": "Each answer must end in one canonical thesis, limits, and a next human-useful step."
37
+ }
38
+ ],
39
+ "planned_passes": [
40
+ {
41
+ "id": "calibration_slice",
42
+ "status": "planned",
43
+ "purpose": "Test whether current Layer-1 digests are enough to answer with evidence before scaling."
44
+ },
45
+ {
46
+ "id": "coverage_backfill",
47
+ "status": "planned",
48
+ "purpose": "Increase Layer-1 coverage using Meta2.0's stable batch settings."
49
+ },
50
+ {
51
+ "id": "answer_candidates",
52
+ "status": "blocked_until_requirements_and_coverage",
53
+ "purpose": "Generate candidate answers per question with evidence and uncertainty."
54
+ },
55
+ {
56
+ "id": "counterevidence_review",
57
+ "status": "blocked_until_candidate_answers",
58
+ "purpose": "Search for contradictions and weak spots before synthesis."
59
+ },
60
+ {
61
+ "id": "owner_synthesis",
62
+ "status": "blocked_until_review",
63
+ "purpose": "Compress results into canonical owner-facing conclusions."
64
+ }
65
+ ],
66
+ "release_gate": {
67
+ "name": "meta3_improvement_over_meta2",
68
+ "required_eval": "docs/evals/EVAL_meta3_improvement_over_meta2.md",
69
+ "minimum_status": "spec_exists_and_smoke_valid"
70
+ }
71
+ }
config/process_model.json ADDED
@@ -0,0 +1,112 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "schema": "meta3.process_model.v1",
3
+ "status": "active_process_contract",
4
+ "principle": "Do not scale until the smaller loop proves evidence quality, validity, and owner usefulness.",
5
+ "global_stop_conditions": [
6
+ "unresolved source-artifact mismatch",
7
+ "missing run manifest or batch plan",
8
+ "network dry run not performed before real network calls",
9
+ "error rate or empty-output rate exceeds the accepted threshold",
10
+ "answers lack evidence or counterevidence fields",
11
+ "owner cannot tell what changed since Meta2.0"
12
+ ],
13
+ "control_metrics": [
14
+ "source_coverage_pct",
15
+ "source_family_spread",
16
+ "time_range_spread",
17
+ "claim_count",
18
+ "claims_with_evidence_pct",
19
+ "claims_with_counterevidence_pct",
20
+ "empty_or_low_confidence_output_pct",
21
+ "actual_api_calls",
22
+ "cost_estimate",
23
+ "owner_ready_answer_count"
24
+ ],
25
+ "phases": [
26
+ {
27
+ "id": "p00_requirements_lock",
28
+ "kind": "manual_gate",
29
+ "purpose": "Lock the owner question, allowed sources, stop conditions, budget, and morning success definition.",
30
+ "inputs": ["GOAL", "requirements/PENDING.md", "config/questions.json"],
31
+ "outputs": ["requirements/LOCKED.md"],
32
+ "entry_gate": "Samuel's requirements have arrived.",
33
+ "exit_gate": "Questions, constraints, and success criteria are reconciled."
34
+ },
35
+ {
36
+ "id": "p01_baseline_audit",
37
+ "kind": "measurement_gate",
38
+ "purpose": "Measure the Meta2.0 baseline before changing scale.",
39
+ "inputs": [
40
+ "/home/smlflg/Projekte/Meta2.0/data/session_inventory.json",
41
+ "/home/smlflg/Projekte/Meta2.0/data/layer1/audit.json",
42
+ "/home/smlflg/Projekte/Meta2.0/data/layer1/session_digests.jsonl"
43
+ ],
44
+ "outputs": ["runs/<run_id>/manifests/baseline_snapshot.json"],
45
+ "entry_gate": "Meta2.0 artifacts exist.",
46
+ "exit_gate": "Coverage, unique digest count, raw row count, failures, and source spread are recorded."
47
+ },
48
+ {
49
+ "id": "p02_calibration_slice",
50
+ "kind": "small_model_run",
51
+ "purpose": "Answer a small representative slice before broad overnight execution.",
52
+ "inputs": ["baseline_snapshot.json", "config/questions.json", "config/experiment_design.json"],
53
+ "outputs": ["runs/<run_id>/outputs/calibration_answers.jsonl"],
54
+ "entry_gate": "Baseline audit is valid.",
55
+ "exit_gate": "At least one answer shows evidence, uncertainty, counterevidence status, and owner-ready conclusion."
56
+ },
57
+ {
58
+ "id": "p03_stratified_backfill",
59
+ "kind": "meta2_layer1_backfill",
60
+ "purpose": "Increase digest coverage while preserving source and time diversity.",
61
+ "inputs": ["baseline_snapshot.json"],
62
+ "outputs": ["updated Meta2.0 layer1 audit"],
63
+ "entry_gate": "Calibration did not reveal a method flaw.",
64
+ "exit_gate": "New audit shows no unresolved failures and improved coverage."
65
+ },
66
+ {
67
+ "id": "p04_claim_ledger_generation",
68
+ "kind": "structured_answer_run",
69
+ "purpose": "Generate structured claims per question instead of freeform essays.",
70
+ "inputs": ["session_digests.jsonl", "config/questions.json", "config/experiment_design.json"],
71
+ "outputs": ["runs/<run_id>/outputs/claim_ledger.jsonl"],
72
+ "entry_gate": "Coverage gate and requirements gate pass.",
73
+ "exit_gate": "Claims cite evidence and mark uncertainty."
74
+ },
75
+ {
76
+ "id": "p05_counterevidence_pass",
77
+ "kind": "adversarial_review",
78
+ "purpose": "Search for sessions that weaken, contradict, or narrow the generated claims.",
79
+ "inputs": ["claim_ledger.jsonl", "session_digests.jsonl"],
80
+ "outputs": ["runs/<run_id>/outputs/counterevidence_ledger.jsonl"],
81
+ "entry_gate": "Claim ledger exists.",
82
+ "exit_gate": "Each main claim has counterevidence status."
83
+ },
84
+ {
85
+ "id": "p06_validity_review",
86
+ "kind": "quality_gate",
87
+ "purpose": "Separate useful answers from invalid measurement.",
88
+ "inputs": ["claim_ledger.jsonl", "counterevidence_ledger.jsonl", "run_manifest.json", "batch_plan.json"],
89
+ "outputs": ["runs/<run_id>/reports/validity_review.md"],
90
+ "entry_gate": "Claim and counterevidence ledgers exist.",
91
+ "exit_gate": "Invalid, weak, and owner-ready outputs are explicitly separated."
92
+ },
93
+ {
94
+ "id": "p07_owner_synthesis",
95
+ "kind": "owner_report",
96
+ "purpose": "Compress validated claims into canonical owner-facing answers.",
97
+ "inputs": ["validity_review.md", "claim_ledger.jsonl", "counterevidence_ledger.jsonl"],
98
+ "outputs": ["runs/<run_id>/reports/OWNER_SYNTHESIS.md"],
99
+ "entry_gate": "Validity review passes.",
100
+ "exit_gate": "Each question has one thesis, evidence, limits, and next action."
101
+ },
102
+ {
103
+ "id": "p08_morning_closeout",
104
+ "kind": "closure",
105
+ "purpose": "Make the overnight run inspectable and stop hidden cycle debt.",
106
+ "inputs": ["run_manifest.json", "batch_plan.json", "logs", "reports"],
107
+ "outputs": ["runs/<run_id>/reports/MORNING_REPORT.md"],
108
+ "entry_gate": "Overnight run ended or was stopped.",
109
+ "exit_gate": "Actual calls, errors, outputs, missing evidence, and next decision are visible."
110
+ }
111
+ ]
112
+ }
config/questions.json ADDED
@@ -0,0 +1,68 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "version": 1,
3
+ "source": "GOAL",
4
+ "status": "draft_until_requirements_arrive",
5
+ "questions": [
6
+ {
7
+ "id": "q01_roter_faden",
8
+ "title": "Der rote Faden",
9
+ "prompt": "Welche 5 Themen kehren immer wieder zurueck, egal unter welchem Projektnamen?",
10
+ "answer_contract": ["pattern_list", "evidence_refs", "non_project_motifs", "uncertainty"]
11
+ },
12
+ {
13
+ "id": "q02_eigentliches_problem",
14
+ "title": "Das eigentliche Problem",
15
+ "prompt": "Welches Problem habe ich immer wieder neu formuliert, aber nie final benannt?",
16
+ "answer_contract": ["core_problem_hypothesis", "repeated_formulations", "counterexamples", "scope"]
17
+ },
18
+ {
19
+ "id": "q03_wiederkehrende_schleife",
20
+ "title": "Die wiederkehrende Schleife",
21
+ "prompt": "Welche Schleife wiederholt sich in meinen Sessions, und wo war Fortschritt statt rekursivem Kontrollverlust?",
22
+ "answer_contract": ["loop_steps", "progress_markers", "drift_markers", "break_conditions"]
23
+ },
24
+ {
25
+ "id": "q04_staerkste_beweise",
26
+ "title": "Die staerksten Beweise",
27
+ "prompt": "Welche Agenten-Sessions haben echte irreversible Evidenz in der Welt erzeugt?",
28
+ "answer_contract": ["world_contact_events", "artifacts", "people_or_money_or_deployments", "confidence"]
29
+ },
30
+ {
31
+ "id": "q05_selbsttaeuschungen",
32
+ "title": "Die Selbsttaeuschungen",
33
+ "prompt": "Wo habe ich Komplexitaet erzeugt, um Entscheidung, Angst oder Abschluss zu vermeiden?",
34
+ "answer_contract": ["avoidance_patterns", "architecture_vs_escape", "decision_debt", "evidence"]
35
+ },
36
+ {
37
+ "id": "q06_beste_arbeitsmodi",
38
+ "title": "Die besten Arbeitsmodi",
39
+ "prompt": "Unter welchen Bedingungen werde ich durch KI groesser, und unter welchen werde ich fragmentiert?",
40
+ "answer_contract": ["positive_conditions", "negative_conditions", "tools_models_context", "operating_rules"]
41
+ },
42
+ {
43
+ "id": "q07_ownership_test",
44
+ "title": "Der Ownership-Test",
45
+ "prompt": "Wann haben Agenten mir Macht gegeben, und wann haben sie mir mein mentales Modell geraubt?",
46
+ "answer_contract": ["ownership_gain", "ownership_loss", "explainability", "owner_gates"]
47
+ },
48
+ {
49
+ "id": "q08_produktlinie",
50
+ "title": "Die Produktlinie aus dem eigenen Leben",
51
+ "prompt": "Welche persoenlichen Probleme sind gleichzeitig Marktprobleme?",
52
+ "answer_contract": ["personal_problem", "market_problem", "evidence", "offer_shape"]
53
+ },
54
+ {
55
+ "id": "q09_unfertige_wahrheiten",
56
+ "title": "Die unfertigen Wahrheiten",
57
+ "prompt": "Welche Saetze tauchen immer wieder auf und sollten als Betriebssystem-Regeln operationalisiert werden?",
58
+ "answer_contract": ["recurring_sentences", "operational_rule", "where_to_enforce", "risk"]
59
+ },
60
+ {
61
+ "id": "q10_finale_verdichtung",
62
+ "title": "Die finale Verdichtung",
63
+ "prompt": "Was ist mein eigentliches Werk?",
64
+ "answer_contract": ["one_sentence_work", "evidence_tree", "not_this", "next_step"]
65
+ }
66
+ ]
67
+ }
68
+
config/run_profile.example.json ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "version": 1,
3
+ "name": "meta3_overnight_profile_v0",
4
+ "mode": "prepare_only",
5
+ "source_artifacts": {
6
+ "meta2_root": "/home/smlflg/Projekte/Meta2.0",
7
+ "session_inventory": "/home/smlflg/Projekte/Meta2.0/data/session_inventory.json",
8
+ "layer1_digests": "/home/smlflg/Projekte/Meta2.0/data/layer1/session_digests.jsonl",
9
+ "layer1_audit": "/home/smlflg/Projekte/Meta2.0/data/layer1/audit.json"
10
+ },
11
+ "api_profile": {
12
+ "provider": "openai_compatible_litellm",
13
+ "default_base_url": "https://litellm-kommone.genai.govdigital.de/v1",
14
+ "base_url_envs": ["LITELLM_BASE_URL", "OPENAI_BASE_URL"],
15
+ "api_key_envs": ["LITELLM_API_KEYS", "OPENAI_API_KEY"],
16
+ "model_env": "META3_MODEL",
17
+ "default_model": "stackit-qwen-qwen3-vl-235b-a22b-instruct-fp8"
18
+ },
19
+ "limits": {
20
+ "max_api_calls": 10000000,
21
+ "safe_batch_size": 3,
22
+ "safe_concurrency": 2,
23
+ "max_concurrency_without_new_approval": 4,
24
+ "dry_run_required": true,
25
+ "network_calls_enabled_by_default": false
26
+ },
27
+ "planning": {
28
+ "layer1_backfill_enabled": true,
29
+ "answer_passes_per_question": 3,
30
+ "synthesis_passes": 2,
31
+ "minimum_layer1_coverage_pct_before_final_answers": 90.0
32
+ }
33
+ }
34
+
data/.gitkeep ADDED
@@ -0,0 +1 @@
 
 
1
+
docs/META3_PROCESS.md ADDED
@@ -0,0 +1,94 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Meta3 Process
2
+
3
+ Meta3.0 improves the meta process, not only the amount of compute.
4
+
5
+ Meta2.0 answered: "Can we digest Samuel's session corpus at all?"
6
+
7
+ Meta3.0 answers: "Which conclusions are valid enough for Samuel to use?"
8
+
9
+ ## Process Loop
10
+
11
+ ```text
12
+ Requirements lock
13
+ -> baseline audit
14
+ -> calibration slice
15
+ -> stratified backfill
16
+ -> claim ledger
17
+ -> counterevidence pass
18
+ -> validity review
19
+ -> owner synthesis
20
+ -> morning closeout
21
+ ```
22
+
23
+ ## What Changes Against Meta2.0
24
+
25
+ Meta2.0 strength:
26
+
27
+ - stable inventory and digest pipeline
28
+ - Qwen batch mechanics
29
+ - audit files and coverage numbers
30
+
31
+ Meta2.0 weakness for this task:
32
+
33
+ - it is mostly a data-prep system
34
+ - it does not decide which self-interpretations are valid
35
+ - it does not force counterevidence before synthesis
36
+ - it does not create an owner-ready answer contract by itself
37
+
38
+ Meta3.0 improvement:
39
+
40
+ - a run starts with requirements, not with fanout
41
+ - every output belongs to a phase
42
+ - every strong claim enters a ledger
43
+ - every main claim receives a counterevidence pass
44
+ - final synthesis is blocked until validity is reviewed
45
+ - morning closeout records actual calls, errors, missing evidence, and the next
46
+ owner decision
47
+
48
+ ## Core Rule
49
+
50
+ Do not scale a flawed loop.
51
+
52
+ The first useful Meta3 run is therefore not the biggest possible run. It is the
53
+ smallest loop that proves:
54
+
55
+ 1. Meta2.0 sources are measured correctly.
56
+ 2. The question set produces structured claims.
57
+ 3. Evidence references are concrete.
58
+ 4. Counterevidence is not skipped.
59
+ 5. The final answer gives Samuel one usable next mental model.
60
+
61
+ ## Required Artifacts Per Serious Run
62
+
63
+ - `run_manifest.json`: what was attempted.
64
+ - `batch_plan.json`: what was planned.
65
+ - `baseline_snapshot.json`: what source state existed before scale-up.
66
+ - `source_snapshot_manifest.json`: frozen local digest input and checksum.
67
+ - `*_workpackets.jsonl`: exact prompt packets a future runner would consume.
68
+ - `*_call_ledger.jsonl`: one planned ledger entry per workpacket/API call.
69
+ - `calibration_answers.jsonl`: small proof before broad execution.
70
+ - `claim_ledger.jsonl`: structured claims.
71
+ - `counterevidence_ledger.jsonl`: contradictions, weak spots, limits.
72
+ - `*_collection_report.json`: response parsing and schema-validation status.
73
+ - `validity_review.md`: what is valid, weak, invalid, or missing.
74
+ - `OWNER_SYNTHESIS.md`: owner-facing answers.
75
+ - `MORNING_REPORT.md`: actual calls, errors, outputs, and next decision.
76
+
77
+ ## Failure Labels
78
+
79
+ Use these labels instead of vague "worked/did not work":
80
+
81
+ - `invalid_measurement`: artifacts missing, no comparable baseline, bad manifest.
82
+ - `insufficient_coverage`: source coverage too low for final synthesis.
83
+ - `weak_evidence`: claims exist but references are thin.
84
+ - `counterevidence_missing`: claims were not attacked.
85
+ - `owner_not_ready`: output is interesting but not usable by Samuel.
86
+ - `ready_for_owner_review`: valid enough for Samuel to inspect.
87
+
88
+ ## Morning Question
89
+
90
+ The next morning, do not ask "Did it run?"
91
+
92
+ Ask:
93
+
94
+ > Which claims survived evidence, counterevidence, and owner-readiness?
docs/OVERNIGHT_RUNBOOK.md ADDED
@@ -0,0 +1,237 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Overnight Runbook
2
+
3
+ ## Phase 0: Anforderungen aufnehmen
4
+
5
+ 1. `requirements/PENDING.md` ausfuellen.
6
+ 2. Nach Abstimmung `requirements/LOCKED.example.md` nach
7
+ `requirements/LOCKED.md` uebertragen und ausfuellen.
8
+ 3. `config/questions.json` anpassen oder ersetzen.
9
+ 4. `config/process_model.json` gegen die Anforderungen pruefen.
10
+ 5. Kein API-Start, solange diese Dateien nicht zusammenpassen.
11
+
12
+ ## Phase 1: Smoke
13
+
14
+ ```bash
15
+ python3 scripts/meta3_smoke.py
16
+ ```
17
+
18
+ Erwartung:
19
+
20
+ - JSON valide.
21
+ - Fragen-IDs eindeutig.
22
+ - Meta2.0-Quellen existieren.
23
+ - Meta3-Improvement-Vertrag existiert.
24
+ - Scripts sind kompilierbar.
25
+ - Keine Secrets in Config-Dateien.
26
+
27
+ ## Komplette lokale Vorbereitung
28
+
29
+ Der lokale Orchestrator fuehrt die folgenden Phasen ohne Netzwerk nacheinander
30
+ aus: Smoke, Prepare, Batchplan, Source-Freeze, Workpackets, Readiness,
31
+ Runner-Dry-Runs, Runner-Status, Network-Preflight, Response-Collection und
32
+ Morning-Report.
33
+
34
+ ```bash
35
+ python3 scripts/meta3_orchestrate_local.py --accepted-call-budget 10000000
36
+ ```
37
+
38
+ Erzeugt:
39
+
40
+ ```text
41
+ runs/<run_id>/reports/local_orchestration_report.json
42
+ runs/<run_id>/reports/LOCAL_ORCHESTRATION_REPORT.md
43
+ ```
44
+
45
+ Solange `requirements/LOCKED.md` und API-Key-Env fehlen, ist der erwartete
46
+ Status `prepared_blocked`, nicht `ready_for_network_start`.
47
+
48
+ Wenn ein manueller Workpacket-Build mit `Source drift refused` stoppt, pruefe
49
+ zuerst den Batchplan-Gate `layer1_audit_raw_digest_mismatch`. Dann sind
50
+ Meta2.0-Audit und rohe `session_digests.jsonl` nicht synchron. Der lokale
51
+ Orchestrator loest das durch `meta3_freeze_sources.py`, das einen reproduzierbar
52
+ eingefrorenen Snapshot in den Run schreibt.
53
+
54
+ ## Phase 2: Run manifestieren
55
+
56
+ ```bash
57
+ python3 scripts/meta3_prepare.py
58
+ ```
59
+
60
+ Erzeugt:
61
+
62
+ ```text
63
+ runs/<timestamp>_overnight_prepare/
64
+ manifests/run_manifest.json
65
+ state/
66
+ outputs/
67
+ logs/
68
+ tmp/
69
+ ```
70
+
71
+ ## Phase 3: Batchplan erzeugen
72
+
73
+ ```bash
74
+ python3 scripts/meta3_plan_batches.py
75
+ ```
76
+
77
+ Erzeugt:
78
+
79
+ ```text
80
+ runs/<latest>/manifests/batch_plan.json
81
+ ```
82
+
83
+ ## Phase 3a: Source Snapshot einfrieren
84
+
85
+ ```bash
86
+ python3 scripts/meta3_freeze_sources.py
87
+ ```
88
+
89
+ Erzeugt:
90
+
91
+ ```text
92
+ runs/<latest>/manifests/source_snapshot_manifest.json
93
+ runs/<latest>/data/source_snapshot/layer1_digests.frozen.jsonl
94
+ ```
95
+
96
+ Das ist die lokale stabile Quelle fuer Workpackets. Es macht keine API-Calls.
97
+
98
+ ## Phase 3b: Workpackets bauen
99
+
100
+ Kalibrierung:
101
+
102
+ ```bash
103
+ python3 scripts/meta3_build_workpackets.py --mode calibration --sample-size 24
104
+ ```
105
+
106
+ Breiter Claim-Ledger-Plan gegen alle vorhandenen Digests:
107
+
108
+ ```bash
109
+ python3 scripts/meta3_build_workpackets.py --mode claim_ledger --shard-size 24
110
+ ```
111
+
112
+ Erzeugt:
113
+
114
+ ```text
115
+ runs/<latest>/outputs/workpackets/<mode>_workpackets.jsonl
116
+ runs/<latest>/outputs/workpackets/<mode>_packet_manifest.json
117
+ runs/<latest>/state/<mode>_call_ledger.jsonl
118
+ ```
119
+
120
+ Auch diese Phase macht keine API-Calls. Sie bereitet nur reproduzierbare Prompts
121
+ und geplante Call-Ledger-Eintraege vor.
122
+
123
+ ## Phase 3c: Run-Artefakte validieren
124
+
125
+ ```bash
126
+ python3 scripts/meta3_validate_run.py
127
+ ```
128
+
129
+ Erzeugt:
130
+
131
+ ```text
132
+ runs/<latest>/reports/run_readiness_report.json
133
+ runs/<latest>/reports/RUN_READINESS_REPORT.md
134
+ ```
135
+
136
+ Der Validator prueft Manifest, Batchplan, Baseline-Snapshot, Workpacket-Manifeste,
137
+ Packet-Zeilen, Call-Ledger und die Null-Netzwerk-Invariante.
138
+
139
+ ## Phase 3d: Runner-Dry-Run
140
+
141
+ ```bash
142
+ python3 scripts/meta3_run_packets.py --mode calibration --limit 1
143
+ ```
144
+
145
+ Erzeugt:
146
+
147
+ ```text
148
+ runs/<latest>/logs/calibration_runner_dry_run.json
149
+ ```
150
+
151
+ Das prueft, welche Pakete ein Runner konsumieren wuerde, welche Concurrency
152
+ gelten wuerde und ob Env-Namen gesetzt sind. Es macht keine API-Calls.
153
+
154
+ Status/Heartbeat pruefen:
155
+
156
+ ```bash
157
+ python3 scripts/meta3_runner_status.py
158
+ ```
159
+
160
+ Stop-Dateien fuer echte Laeufe:
161
+
162
+ ```text
163
+ runs/<run_id>/state/STOP
164
+ runs/<run_id>/state/STOP_calibration
165
+ runs/<run_id>/state/STOP_claim_ledger
166
+ ```
167
+
168
+ Ein echter Start waere spaeter explizit, zum Beispiel:
169
+
170
+ ```bash
171
+ python3 scripts/meta3_run_packets.py --mode calibration --limit 1 --execute-network --accepted-call-budget 1
172
+ ```
173
+
174
+ Diesen Befehl nicht automatisch starten. Vorher braucht es Samuels Freigabe fuer
175
+ Netzwerk, Kosten, Umfang und Concurrency.
176
+
177
+ ## Phase 3e: Netzwerk-Preflight
178
+
179
+ ```bash
180
+ python3 scripts/meta3_preflight.py --mode calibration --accepted-call-budget 10
181
+ ```
182
+
183
+ Erzeugt:
184
+
185
+ ```text
186
+ runs/<latest>/reports/network_preflight.json
187
+ runs/<latest>/reports/NETWORK_PREFLIGHT.md
188
+ ```
189
+
190
+ Dieser Report ist der harte Startspiegel: Requirements-Lock, Readiness-Report,
191
+ Runner-Dry-Run, API-Env, Budget und Concurrency muessen zusammenpassen. Ohne
192
+ `requirements/LOCKED.md` bleibt der Status bewusst `blocked`.
193
+
194
+ ## Phase 4: Startentscheidung
195
+
196
+ Vor einem echten Runner muessen sichtbar sein:
197
+
198
+ - geplante API-Calls,
199
+ - geplante Concurrency,
200
+ - Quellenabdeckung,
201
+ - wie Meta3 den Meta2-Baseline-Run methodisch verbessert,
202
+ - welche Gegenbeweis- und Claim-Ledger-Pflichten gelten,
203
+ - welche Workpackets ein Runner wirklich konsumieren wuerde,
204
+ - offene Gates,
205
+ - Abbruchbedingungen.
206
+
207
+ ## Phase 5: Morgen-Auswertung
208
+
209
+ Responses einsammeln:
210
+
211
+ ```bash
212
+ python3 scripts/meta3_collect_responses.py --mode calibration --allow-empty
213
+ python3 scripts/meta3_collect_responses.py --mode claim_ledger --allow-empty
214
+ ```
215
+
216
+ Morning-Report schreiben:
217
+
218
+ ```bash
219
+ python3 scripts/meta3_morning_report.py
220
+ ```
221
+
222
+ Morgen nicht nur "lief durch" pruefen, sondern:
223
+
224
+ - wie viele Calls tatsaechlich,
225
+ - wie viele Fehler,
226
+ - wie viele leere/low-confidence Antworten,
227
+ - welche Fragen beantwortet,
228
+ - welche Evidenz fehlt,
229
+ - welche Outputs owner-ready sind.
230
+
231
+ Nullkosten-Test fuer die Parser-Strecke:
232
+
233
+ ```bash
234
+ python3 scripts/meta3_create_mock_response.py --mode calibration
235
+ python3 scripts/meta3_collect_responses.py --mode calibration
236
+ python3 scripts/meta3_morning_report.py
237
+ ```
docs/SAFETY.md ADDED
@@ -0,0 +1,107 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Safety And Cost Gates
2
+
3
+ ## Keine Secrets
4
+
5
+ Config-Dateien duerfen nur Env-Var-Namen enthalten, keine Werte.
6
+
7
+ Erlaubt:
8
+
9
+ ```json
10
+ "api_key_envs": ["LITELLM_API_KEYS", "OPENAI_API_KEY"]
11
+ ```
12
+
13
+ Nicht erlaubt:
14
+
15
+ ```json
16
+ "api_key": "..."
17
+ ```
18
+
19
+ ## Kein Start durch Scaffold
20
+
21
+ Alle Scripts in `scripts/` sind lokal:
22
+
23
+ - `meta3_smoke.py`
24
+ - `meta3_prepare.py`
25
+ - `meta3_plan_batches.py`
26
+ - `meta3_build_workpackets.py`
27
+ - `meta3_validate_run.py`
28
+ - `meta3_preflight.py`
29
+
30
+ Sie duerfen keine API-Requests ausfuehren.
31
+
32
+ Ausnahme: `meta3_run_packets.py` kann spaeter Netzwerk nutzen, aber nur mit:
33
+
34
+ - vorhandenen Workpackets,
35
+ - vorherigem Dry-Run,
36
+ - `--execute-network`,
37
+ - `--accepted-call-budget <N>`,
38
+ - vorhandener API-Key-Env.
39
+
40
+ Ohne `--execute-network` schreibt es nur einen Dry-Run-Report.
41
+
42
+ ## Langlauf-Kontrolle
43
+
44
+ Ein echter Runner schreibt und beachtet:
45
+
46
+ - `state/<mode>_runner.lock.json`: verhindert Doppelstart.
47
+ - `state/<mode>_runner_heartbeat.json`: Fortschritt, Fehler, In-Flight-Status.
48
+ - `state/STOP`: stoppt alle Modi nach den laufenden In-Flight-Calls.
49
+ - `state/STOP_<mode>`: stoppt nur einen Modus.
50
+
51
+ Status pruefen:
52
+
53
+ ```bash
54
+ python3 scripts/meta3_runner_status.py
55
+ ```
56
+
57
+ Der Runner submitted nur bis zur Concurrency-Grenze gleichzeitig. Bei Stop- oder
58
+ Fehlerschwelle werden keine neuen Pakete gestartet; laufende Pakete werden noch
59
+ sauber verarbeitet.
60
+
61
+ ## Source-Drift-Gate
62
+
63
+ Meta3 baut standardmaessig keine finalen Workpackets, wenn Meta2.0-Audit und
64
+ rohe Digest-Datei auseinanderlaufen:
65
+
66
+ ```text
67
+ layer1_audit_unique_digest_paths != layer1_raw_digest_file_rows_counted
68
+ ```
69
+
70
+ Das verhindert, dass ein Overnight-Run gegen eine halb aktualisierte Quelle
71
+ arbeitet. Der Batchplan markiert diesen Fall als `blocked`.
72
+ `meta3_build_workpackets.py` verweigert ohne lokalen Source-Snapshot oder
73
+ `--allow-source-drift`.
74
+
75
+ Der sichere Pfad ist:
76
+
77
+ ```bash
78
+ python3 scripts/meta3_freeze_sources.py
79
+ ```
80
+
81
+ Danach konsumieren Workpackets die eingefrorene Datei unter
82
+ `runs/<run_id>/data/source_snapshot/`. `--allow-source-drift` ist nur fuer
83
+ diagnostische, nicht-finale Runs gedacht.
84
+
85
+ ## Call-Budget
86
+
87
+ `max_api_calls=10000000` ist ein hartes Planungsmaximum, kein Startsignal.
88
+
89
+ Vor echten Calls braucht es:
90
+
91
+ - Run-Manifest,
92
+ - Batchplan,
93
+ - Workpacket-Manifest,
94
+ - Call-Ledger,
95
+ - Dry-Run-Report,
96
+ - Network-Preflight-Report mit Status `pass`,
97
+ - Kosten-/Concurrency-Akzeptanz,
98
+ - Abbruchbedingungen.
99
+
100
+ ## Concurrency
101
+
102
+ Start safe:
103
+
104
+ - `safe_batch_size=3`
105
+ - `safe_concurrency=2`
106
+
107
+ Nicht direkt auf hohe Parallelitaet gehen. Erst Fehlerrate und 429-Rate sehen.
docs/evals/EVAL_meta3_improvement_over_meta2.md ADDED
@@ -0,0 +1,159 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Owner Packet
2
+
3
+ ## What This Eval Tests
4
+
5
+ This eval checks whether Meta3.0 is an actual experimental improvement over
6
+ Meta2.0, not just a new folder that reuses Meta2.0 batch mechanics.
7
+
8
+ ## Why It Matters
9
+
10
+ The main failure risk is spending overnight Qwen budget on prettier synthesis
11
+ without better validity: no stratified evidence, no counterevidence, no claim
12
+ ledger, no owner-ready conclusion, and no proof that the run is comparable.
13
+
14
+ ## Release Meaning
15
+
16
+ blocking
17
+
18
+ Meta3.0 should not start a broad overnight run until this eval at least passes
19
+ as an artifact/smoke check. Later it can become a runnable output-quality eval.
20
+
21
+ ## Smallest Next Implementation Step
22
+
23
+ Keep `config/experiment_design.json` and this spec present, then enforce their
24
+ required contract in `scripts/meta3_smoke.py`.
25
+
26
+ # Eval Spec
27
+
28
+ ## 1. Eval Name
29
+
30
+ Meta3 Improvement Over Meta2
31
+
32
+ ## 2. Purpose
33
+
34
+ Protect against the regression where Meta3.0 becomes a Meta2.0 wrapper with
35
+ more API calls but no stronger experiment design.
36
+
37
+ ## 3. Source
38
+
39
+ Source type: expected product behavior and risk analysis.
40
+
41
+ Samuel clarified that Meta3.0 must be "besser", "anders intelligenter" than
42
+ Meta2.0 because it is the improvement. The risk is concrete because the first
43
+ scaffold correctly reused Meta2.0 artifacts but did not yet make the improvement
44
+ contract first-class.
45
+
46
+ ## 4. Eval Type
47
+
48
+ human-ownership eval
49
+
50
+ It checks both experiment validity and whether the resulting system keeps the
51
+ owner in control of what counts as evidence, uncertainty, and final meaning.
52
+
53
+ ## 5. Scenario
54
+
55
+ Before an overnight run, the owner asks whether Meta3.0 is ready to evaluate
56
+ the ten self-analysis questions with a very large API budget. The system must
57
+ prove that it has a better method than Meta2.0's data digest pipeline.
58
+
59
+ ## 6. Environment
60
+
61
+ Required files:
62
+
63
+ - `GOAL`
64
+ - `config/questions.json`
65
+ - `config/run_profile.example.json`
66
+ - `config/experiment_design.json`
67
+ - `ARCHITECTURE.md`
68
+ - `docs/evals/EVAL_meta3_improvement_over_meta2.md`
69
+ - `scripts/meta3_smoke.py`
70
+
71
+ Required external artifacts, read-only:
72
+
73
+ - `/home/smlflg/Projekte/Meta2.0/data/session_inventory.json`
74
+ - `/home/smlflg/Projekte/Meta2.0/data/layer1/session_digests.jsonl`
75
+ - `/home/smlflg/Projekte/Meta2.0/data/layer1/audit.json`
76
+
77
+ No network access is required for this eval.
78
+
79
+ ## 7. Input
80
+
81
+ Command:
82
+
83
+ ```bash
84
+ python3 scripts/meta3_smoke.py
85
+ ```
86
+
87
+ ## 8. Expected Behavior
88
+
89
+ The smoke check should pass only if Meta3.0 contains an explicit improvement
90
+ contract with at least these capabilities:
91
+
92
+ - stratified evidence
93
+ - claim ledger
94
+ - counterevidence pass
95
+ - validity before synthesis
96
+ - question graph
97
+ - owner-ready output
98
+
99
+ The docs should make clear that Meta2.0 remains the source/digest baseline, and
100
+ Meta3.0 adds the experiment and synthesis controls.
101
+
102
+ ## 9. Failure Modes
103
+
104
+ - `config/experiment_design.json` missing or invalid.
105
+ - Required improvement requirement IDs missing.
106
+ - The eval spec is missing.
107
+ - The architecture does not distinguish Meta2.0 baseline role from Meta3.0
108
+ improvement role.
109
+ - Smoke passes even though the improvement contract is absent.
110
+ - Measurement failure: Meta2.0 artifacts are missing, but the run is described
111
+ as ready.
112
+
113
+ ## 10. Scoring
114
+
115
+ Pass/fail.
116
+
117
+ Pass means the artifact contract exists and the local smoke check validates the
118
+ minimum improvement requirements. It does not yet prove answer quality.
119
+
120
+ ## 11. Assertions
121
+
122
+ - `config/experiment_design.json` exists.
123
+ - `schema` equals `meta3.experiment_design.v1`.
124
+ - `improvement_requirements` contains:
125
+ - `stratified_evidence`
126
+ - `claim_ledger`
127
+ - `counterevidence_pass`
128
+ - `validity_before_synthesis`
129
+ - `question_graph`
130
+ - `owner_ready_output`
131
+ - `docs/evals/EVAL_meta3_improvement_over_meta2.md` exists.
132
+ - `ARCHITECTURE.md` contains `Meta3 Improvement Contract`.
133
+ - No network calls are made.
134
+
135
+ ## 12. Minimal Runnable Form
136
+
137
+ Evaluator logic lives in `scripts/meta3_smoke.py`.
138
+
139
+ The minimal runnable command is:
140
+
141
+ ```bash
142
+ python3 scripts/meta3_smoke.py
143
+ ```
144
+
145
+ Expected result: `SMOKE PASS`, possibly with non-blocking warnings.
146
+
147
+ ## 13. Release Meaning
148
+
149
+ blocking
150
+
151
+ The check blocks broad overnight execution because otherwise Meta3.0 can spend
152
+ large budget without proving that it improved on Meta2.0.
153
+
154
+ ## 14. Maintenance Notes
155
+
156
+ Update this eval when Meta3.0 gains a real answer runner. At that point, add a
157
+ second output-quality eval that inspects generated answers for evidence links,
158
+ counterevidence, uncertainty, and owner-ready conclusions. Downgrade this eval
159
+ only if a stronger runnable eval fully replaces it.
reports/.gitkeep ADDED
@@ -0,0 +1 @@
 
 
1
+
requirements/LOCKED.example.md ADDED
@@ -0,0 +1,45 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Meta3 Requirements Lock
2
+
3
+ Status: locked
4
+ Owner: Samuel
5
+ Locked at: YYYY-MM-DDTHH:MM:SS+02:00
6
+
7
+ ## Ziel
8
+
9
+ Welche konkrete Auswertung soll dieser Overnight-Run liefern?
10
+
11
+ ## Fragen
12
+
13
+ Welche Fragen aus `config/questions.json` gelten fuer diesen Run?
14
+
15
+ ## Quellen
16
+
17
+ Erlaubt:
18
+
19
+ - `/home/smlflg/Projekte/Meta2.0/data/session_inventory.json`
20
+ - `/home/smlflg/Projekte/Meta2.0/data/layer1/session_digests.jsonl`
21
+ - `/home/smlflg/Projekte/Meta2.0/data/layer1/audit.json`
22
+
23
+ Nicht erlaubt:
24
+
25
+ - Secrets
26
+ - globale Steuerflaechen ohne neue Freigabe
27
+
28
+ ## Budget
29
+
30
+ - Max API calls:
31
+ - Accepted initial call budget:
32
+ - Max concurrency:
33
+ - Max runtime:
34
+
35
+ ## Outputs
36
+
37
+ Welche Dateien/Reports muessen morgen existieren?
38
+
39
+ ## Abbruchbedingungen
40
+
41
+ Wann soll ein Runner stoppen?
42
+
43
+ ## Morgen-Erfolg
44
+
45
+ Was zaehlt morgen als Erfolg, was nur als gelaufen?
requirements/PENDING.md ADDED
@@ -0,0 +1,33 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Requirements Intake
2
+
3
+ Status: wartet auf Samuels konkrete Anforderungen.
4
+
5
+ ## Bitte hier eintragen
6
+
7
+ ```text
8
+ Ziel:
9
+
10
+ Welche Fragen:
11
+
12
+ Welche Quellen duerfen gelesen werden:
13
+
14
+ Welche Quellen duerfen NICHT gelesen werden:
15
+
16
+ Maximale Kosten / Call-Budget:
17
+
18
+ Maximale Laufzeit:
19
+
20
+ Gewuenschte Outputs:
21
+
22
+ Abbruchbedingungen:
23
+
24
+ Was zaehlt morgen als Erfolg:
25
+ ```
26
+
27
+ ## Vorlaeufige Annahmen
28
+
29
+ - Keine API-Calls aus diesem Ordner, bis Anforderungen da sind.
30
+ - Externe Session-Stores bleiben read-only.
31
+ - Meta2.0 bleibt Quelle fuer Inventory und Layer-1-Digests.
32
+ - Der erste echte Run soll klein genug sein, dass er auditierbar bleibt.
33
+
runs/.gitkeep ADDED
@@ -0,0 +1 @@
 
 
1
+
runs/20260615T210314Z_overnight-prepare/manifests/batch_plan.json ADDED
@@ -0,0 +1,73 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "schema": "meta3.batch_plan.v1",
3
+ "run_id": "20260615T210314Z_overnight-prepare",
4
+ "created_at": "2026-06-15T21:03:20.745357+00:00",
5
+ "network_calls_made": 0,
6
+ "source_snapshot": {
7
+ "inventory_total": 1104,
8
+ "layer1_processed": 96,
9
+ "layer1_coverage_pct": 8.7,
10
+ "layer1_digest_rows_counted": 135
11
+ },
12
+ "settings": {
13
+ "safe_batch_size": 3,
14
+ "safe_concurrency": 2,
15
+ "question_count": 10,
16
+ "answer_passes_per_question": 3,
17
+ "synthesis_passes": 2,
18
+ "max_api_calls": 10000000
19
+ },
20
+ "estimated_calls": {
21
+ "layer1_backfill": 336,
22
+ "question_answers": 30,
23
+ "synthesis": 2,
24
+ "total": 368
25
+ },
26
+ "phases": [
27
+ {
28
+ "id": "phase_0_requirements",
29
+ "kind": "manual_gate",
30
+ "status": "open",
31
+ "description": "Requirements in requirements/PENDING.md must be reconciled with config/questions.json."
32
+ },
33
+ {
34
+ "id": "phase_1_layer1_backfill",
35
+ "kind": "meta2_layer1",
36
+ "status": "planned",
37
+ "remaining_sessions": 1008,
38
+ "estimated_api_calls": 336,
39
+ "recommended_command": "cd /home/smlflg/Projekte/Meta2.0 && python3 scripts/meta2_layer1_digest.py --limit 120 --batch-size 3 --concurrency 2 --order source-balanced"
40
+ },
41
+ {
42
+ "id": "phase_2_question_answers",
43
+ "kind": "meta3_answers",
44
+ "status": "blocked_until_requirements_and_coverage",
45
+ "estimated_api_calls": 30
46
+ },
47
+ {
48
+ "id": "phase_3_synthesis",
49
+ "kind": "meta3_synthesis",
50
+ "status": "blocked_until_answers_exist",
51
+ "estimated_api_calls": 2
52
+ }
53
+ ],
54
+ "gates": [
55
+ {
56
+ "gate": "layer1_coverage_below_final_answer_threshold",
57
+ "status": "open",
58
+ "coverage_pct": 8.7,
59
+ "required_pct": 90.0,
60
+ "meaning": "Final answers should wait; layer1 backfill can still run."
61
+ },
62
+ {
63
+ "gate": "dry_run_required_before_network_calls",
64
+ "status": "open",
65
+ "meaning": "This scaffold did not run a network dry-run."
66
+ },
67
+ {
68
+ "gate": "network_calls_disabled_by_default",
69
+ "status": "open",
70
+ "meaning": "A future runner must require an explicit start flag."
71
+ }
72
+ ]
73
+ }
runs/20260615T210314Z_overnight-prepare/manifests/run_manifest.json ADDED
@@ -0,0 +1,106 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "schema": "meta3.run_manifest.v1",
3
+ "run_id": "20260615T210314Z_overnight-prepare",
4
+ "created_at": "2026-06-15T21:03:14.905378+00:00",
5
+ "root": "/home/smlflg/Projekte/Meta3.0",
6
+ "mode": "prepare_only",
7
+ "profile_path": "/home/smlflg/Projekte/Meta3.0/config/run_profile.example.json",
8
+ "questions_path": "/home/smlflg/Projekte/Meta3.0/config/questions.json",
9
+ "question_count": 10,
10
+ "question_ids": [
11
+ "q01_roter_faden",
12
+ "q02_eigentliches_problem",
13
+ "q03_wiederkehrende_schleife",
14
+ "q04_staerkste_beweise",
15
+ "q05_selbsttaeuschungen",
16
+ "q06_beste_arbeitsmodi",
17
+ "q07_ownership_test",
18
+ "q08_produktlinie",
19
+ "q09_unfertige_wahrheiten",
20
+ "q10_finale_verdichtung"
21
+ ],
22
+ "profile": {
23
+ "version": 1,
24
+ "name": "meta3_overnight_profile_v0",
25
+ "mode": "prepare_only",
26
+ "source_artifacts": {
27
+ "meta2_root": "/home/smlflg/Projekte/Meta2.0",
28
+ "session_inventory": "/home/smlflg/Projekte/Meta2.0/data/session_inventory.json",
29
+ "layer1_digests": "/home/smlflg/Projekte/Meta2.0/data/layer1/session_digests.jsonl",
30
+ "layer1_audit": "/home/smlflg/Projekte/Meta2.0/data/layer1/audit.json"
31
+ },
32
+ "api_profile": {
33
+ "provider": "openai_compatible_litellm",
34
+ "default_base_url": "https://litellm-kommone.genai.govdigital.de/v1",
35
+ "base_url_envs": [
36
+ "LITELLM_BASE_URL",
37
+ "OPENAI_BASE_URL"
38
+ ],
39
+ "api_key_envs": [
40
+ "LITELLM_API_KEYS",
41
+ "OPENAI_API_KEY"
42
+ ],
43
+ "model_env": "META3_MODEL",
44
+ "default_model": "stackit-qwen-qwen3-vl-235b-a22b-instruct-fp8"
45
+ },
46
+ "limits": {
47
+ "max_api_calls": 10000000,
48
+ "safe_batch_size": 3,
49
+ "safe_concurrency": 2,
50
+ "max_concurrency_without_new_approval": 4,
51
+ "dry_run_required": true,
52
+ "network_calls_enabled_by_default": false
53
+ },
54
+ "planning": {
55
+ "layer1_backfill_enabled": true,
56
+ "answer_passes_per_question": 3,
57
+ "synthesis_passes": 2,
58
+ "minimum_layer1_coverage_pct_before_final_answers": 90.0
59
+ }
60
+ },
61
+ "questions_version": 1,
62
+ "source_status": {
63
+ "meta2_root": {
64
+ "path": "/home/smlflg/Projekte/Meta2.0",
65
+ "exists": true,
66
+ "is_file": false,
67
+ "is_dir": true,
68
+ "size_bytes": null
69
+ },
70
+ "session_inventory": {
71
+ "path": "/home/smlflg/Projekte/Meta2.0/data/session_inventory.json",
72
+ "exists": true,
73
+ "is_file": true,
74
+ "is_dir": false,
75
+ "size_bytes": 615014
76
+ },
77
+ "layer1_digests": {
78
+ "path": "/home/smlflg/Projekte/Meta2.0/data/layer1/session_digests.jsonl",
79
+ "exists": true,
80
+ "is_file": true,
81
+ "is_dir": false,
82
+ "size_bytes": 175726
83
+ },
84
+ "layer1_audit": {
85
+ "path": "/home/smlflg/Projekte/Meta2.0/data/layer1/audit.json",
86
+ "exists": true,
87
+ "is_file": true,
88
+ "is_dir": false,
89
+ "size_bytes": 763
90
+ }
91
+ },
92
+ "env_status": {
93
+ "api_key_envs_present": {
94
+ "LITELLM_API_KEYS": false,
95
+ "OPENAI_API_KEY": false
96
+ },
97
+ "base_url_envs_present": {
98
+ "LITELLM_BASE_URL": false,
99
+ "OPENAI_BASE_URL": false
100
+ },
101
+ "model_env_present": false,
102
+ "secrets_recorded": false
103
+ },
104
+ "network_calls_made": 0,
105
+ "next_step": "Run scripts/meta3_plan_batches.py --run-id 20260615T210314Z_overnight-prepare"
106
+ }
runs/20260615T210908Z_improved-process-smoke/manifests/baseline_snapshot.json ADDED
@@ -0,0 +1,43 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "schema": "meta3.baseline_snapshot.v1",
3
+ "run_id": "20260615T210908Z_improved-process-smoke",
4
+ "created_at": "2026-06-15T21:10:49.504026+00:00",
5
+ "baseline_project": "/home/smlflg/Projekte/Meta2.0",
6
+ "source_artifacts": {
7
+ "meta2_root": "/home/smlflg/Projekte/Meta2.0",
8
+ "session_inventory": "/home/smlflg/Projekte/Meta2.0/data/session_inventory.json",
9
+ "layer1_digests": "/home/smlflg/Projekte/Meta2.0/data/layer1/session_digests.jsonl",
10
+ "layer1_audit": "/home/smlflg/Projekte/Meta2.0/data/layer1/audit.json"
11
+ },
12
+ "source_snapshot": {
13
+ "inventory_total": 1104,
14
+ "layer1_processed": 216,
15
+ "layer1_coverage_pct": 19.57,
16
+ "layer1_audit_digest_rows": 216,
17
+ "layer1_audit_unique_digest_paths": 216,
18
+ "layer1_raw_digest_file_rows_counted": 216,
19
+ "unresolved_failures": 0,
20
+ "raw_failure_rows": 6,
21
+ "by_source": {
22
+ "claude_projects": 109,
23
+ "codex_sessions": 103,
24
+ "hermes_tirith_logs": 3,
25
+ "hermes_codex_sessions": 1
26
+ },
27
+ "confidence": {
28
+ "high": 156,
29
+ "medium": 48,
30
+ "low": 12
31
+ },
32
+ "strategic_relevance": {
33
+ "infrastructure": 151,
34
+ "projects": 133,
35
+ "hai": 63,
36
+ "harness": 19,
37
+ "overload": 17,
38
+ "monetization": 11,
39
+ "security": 2
40
+ }
41
+ },
42
+ "network_calls_made": 0
43
+ }
runs/20260615T210908Z_improved-process-smoke/manifests/batch_plan.json ADDED
@@ -0,0 +1,151 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "schema": "meta3.batch_plan.v1",
3
+ "run_id": "20260615T210908Z_improved-process-smoke",
4
+ "created_at": "2026-06-15T21:10:49.504295+00:00",
5
+ "network_calls_made": 0,
6
+ "source_snapshot": {
7
+ "inventory_total": 1104,
8
+ "layer1_processed": 216,
9
+ "layer1_coverage_pct": 19.57,
10
+ "layer1_audit_digest_rows": 216,
11
+ "layer1_audit_unique_digest_paths": 216,
12
+ "layer1_raw_digest_file_rows_counted": 216,
13
+ "unresolved_failures": 0,
14
+ "raw_failure_rows": 6,
15
+ "by_source": {
16
+ "claude_projects": 109,
17
+ "codex_sessions": 103,
18
+ "hermes_tirith_logs": 3,
19
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+ "baseline_snapshot_path": "/home/smlflg/Projekte/Meta3.0/runs/20260615T210908Z_improved-process-smoke/manifests/baseline_snapshot.json",
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+ "settings": {
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+ "max_api_calls": 10000000
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+ },
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50
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+ "total": 328
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+ },
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+ "phases": [
56
+ {
57
+ "id": "p00_requirements_lock",
58
+ "kind": "manual_gate",
59
+ "status": "open",
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+ "purpose": "Lock the owner question, allowed sources, stop conditions, budget, and morning success definition.",
61
+ "exit_gate": "Questions, constraints, and success criteria are reconciled.",
62
+ "blocking_reason": "requirements/PENDING.md has not been locked."
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+ },
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+ {
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+ "id": "p01_baseline_audit",
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+ "kind": "measurement_gate",
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+ "status": "complete",
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+ "exit_gate": "Coverage, unique digest count, raw row count, failures, and source spread are recorded.",
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+ "coverage_pct": 19.57
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+ },
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+ "id": "p02_calibration_slice",
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+ "kind": "small_model_run",
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+ "status": "blocked_until_requirements_lock",
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+ "purpose": "Answer a small representative slice before broad overnight execution.",
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+ "exit_gate": "At least one answer shows evidence, uncertainty, counterevidence status, and owner-ready conclusion.",
79
+ "estimated_api_calls": 0
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+ },
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+ {
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+ "id": "p03_stratified_backfill",
83
+ "kind": "meta2_layer1_backfill",
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+ "status": "planned",
85
+ "purpose": "Increase digest coverage while preserving source and time diversity.",
86
+ "exit_gate": "New audit shows no unresolved failures and improved coverage.",
87
+ "remaining_sessions": 888,
88
+ "estimated_api_calls": 296,
89
+ "recommended_command": "cd /home/smlflg/Projekte/Meta2.0 && python3 scripts/meta2_layer1_digest.py --limit 120 --batch-size 3 --concurrency 2 --order source-balanced"
90
+ },
91
+ {
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+ "id": "p04_claim_ledger_generation",
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+ "kind": "structured_answer_run",
94
+ "status": "blocked_until_requirements_calibration_and_coverage",
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+ "purpose": "Generate structured claims per question instead of freeform essays.",
96
+ "exit_gate": "Claims cite evidence and mark uncertainty.",
97
+ "estimated_api_calls": 30
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+ },
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+ {
100
+ "id": "p05_counterevidence_pass",
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+ "kind": "adversarial_review",
102
+ "status": "blocked_until_claim_ledger",
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+ "purpose": "Search for sessions that weaken, contradict, or narrow the generated claims.",
104
+ "exit_gate": "Each main claim has counterevidence status.",
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+ "estimated_api_calls": 0
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+ },
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+ {
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+ "id": "p06_validity_review",
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+ "kind": "quality_gate",
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+ "status": "blocked_until_claim_and_counterevidence_ledgers",
111
+ "purpose": "Separate useful answers from invalid measurement.",
112
+ "exit_gate": "Invalid, weak, and owner-ready outputs are explicitly separated.",
113
+ "estimated_api_calls": 0
114
+ },
115
+ {
116
+ "id": "p07_owner_synthesis",
117
+ "kind": "owner_report",
118
+ "status": "blocked_until_validity_review",
119
+ "purpose": "Compress validated claims into canonical owner-facing answers.",
120
+ "exit_gate": "Each question has one thesis, evidence, limits, and next action.",
121
+ "estimated_api_calls": 2
122
+ },
123
+ {
124
+ "id": "p08_morning_closeout",
125
+ "kind": "closure",
126
+ "status": "planned_after_run_end",
127
+ "purpose": "Make the overnight run inspectable and stop hidden cycle debt.",
128
+ "exit_gate": "Actual calls, errors, outputs, missing evidence, and next decision are visible.",
129
+ "estimated_api_calls": 0
130
+ }
131
+ ],
132
+ "gates": [
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+ {
134
+ "gate": "layer1_coverage_below_final_answer_threshold",
135
+ "status": "open",
136
+ "coverage_pct": 19.57,
137
+ "required_pct": 90.0,
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+ "meaning": "Final answers should wait; layer1 backfill can still run."
139
+ },
140
+ {
141
+ "gate": "dry_run_required_before_network_calls",
142
+ "status": "open",
143
+ "meaning": "This scaffold did not run a network dry-run."
144
+ },
145
+ {
146
+ "gate": "network_calls_disabled_by_default",
147
+ "status": "open",
148
+ "meaning": "A future runner must require an explicit start flag."
149
+ }
150
+ ]
151
+ }
runs/20260615T210908Z_improved-process-smoke/manifests/run_manifest.json ADDED
@@ -0,0 +1,122 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "schema": "meta3.run_manifest.v1",
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+ "run_id": "20260615T210908Z_improved-process-smoke",
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+ "created_at": "2026-06-15T21:09:08.358930+00:00",
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+ "root": "/home/smlflg/Projekte/Meta3.0",
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+ "mode": "prepare_only",
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+ "profile_path": "/home/smlflg/Projekte/Meta3.0/config/run_profile.example.json",
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+ "questions_path": "/home/smlflg/Projekte/Meta3.0/config/questions.json",
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+ "process_model_path": "/home/smlflg/Projekte/Meta3.0/config/process_model.json",
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+ "experiment_design_path": "/home/smlflg/Projekte/Meta3.0/config/experiment_design.json",
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+ "question_count": 10,
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+ "question_ids": [
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+ "q01_roter_faden",
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+ "q02_eigentliches_problem",
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+ "q03_wiederkehrende_schleife",
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+ "q04_staerkste_beweise",
17
+ "q05_selbsttaeuschungen",
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+ "q06_beste_arbeitsmodi",
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+ "q07_ownership_test",
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+ "q08_produktlinie",
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+ "q09_unfertige_wahrheiten",
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+ "q10_finale_verdichtung"
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+ ],
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+ "process_phase_count": 9,
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+ "process_phase_ids": [
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+ "p00_requirements_lock",
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+ "p01_baseline_audit",
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+ "p02_calibration_slice",
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+ "p03_stratified_backfill",
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+ "p04_claim_ledger_generation",
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+ "p05_counterevidence_pass",
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+ "p06_validity_review",
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+ "p07_owner_synthesis",
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+ "p08_morning_closeout"
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+ ],
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+ "profile": {
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+ "version": 1,
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+ "name": "meta3_overnight_profile_v0",
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+ "mode": "prepare_only",
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+ "source_artifacts": {
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+ "meta2_root": "/home/smlflg/Projekte/Meta2.0",
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+ "session_inventory": "/home/smlflg/Projekte/Meta2.0/data/session_inventory.json",
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+ "layer1_digests": "/home/smlflg/Projekte/Meta2.0/data/layer1/session_digests.jsonl",
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+ "layer1_audit": "/home/smlflg/Projekte/Meta2.0/data/layer1/audit.json"
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+ },
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+ "api_profile": {
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+ "provider": "openai_compatible_litellm",
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+ "default_base_url": "https://litellm-kommone.genai.govdigital.de/v1",
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+ "base_url_envs": [
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+ "LITELLM_BASE_URL",
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+ "OPENAI_BASE_URL"
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+ ],
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+ "api_key_envs": [
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+ "LITELLM_API_KEYS",
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+ "OPENAI_API_KEY"
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+ ],
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+ "model_env": "META3_MODEL",
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+ "default_model": "stackit-qwen-qwen3-vl-235b-a22b-instruct-fp8"
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+ },
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+ "limits": {
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+ "max_api_calls": 10000000,
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+ "safe_batch_size": 3,
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+ "safe_concurrency": 2,
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+ "max_concurrency_without_new_approval": 4,
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+ "dry_run_required": true,
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+ "network_calls_enabled_by_default": false
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+ },
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+ "planning": {
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+ "layer1_backfill_enabled": true,
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+ "answer_passes_per_question": 3,
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+ "synthesis_passes": 2,
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+ "minimum_layer1_coverage_pct_before_final_answers": 90.0
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+ }
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+ },
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+ "process_model_schema": "meta3.process_model.v1",
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+ "experiment_design_schema": "meta3.experiment_design.v1",
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+ "questions_version": 1,
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+ "source_status": {
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+ "meta2_root": {
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+ "path": "/home/smlflg/Projekte/Meta2.0",
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+ "exists": true,
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+ "is_file": false,
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+ "is_dir": true,
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+ "size_bytes": null
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+ },
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+ "session_inventory": {
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+ "path": "/home/smlflg/Projekte/Meta2.0/data/session_inventory.json",
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+ "exists": true,
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+ "is_file": true,
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+ "is_dir": false,
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+ "size_bytes": 615014
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+ },
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+ "layer1_digests": {
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+ "path": "/home/smlflg/Projekte/Meta2.0/data/layer1/session_digests.jsonl",
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+ "exists": true,
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+ "is_file": true,
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+ "is_dir": false,
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+ "size_bytes": 298916
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+ },
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+ "layer1_audit": {
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+ "path": "/home/smlflg/Projekte/Meta2.0/data/layer1/audit.json",
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+ "exists": true,
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+ "is_file": true,
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+ "is_dir": false,
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+ "size_bytes": 795
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+ }
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+ },
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+ "env_status": {
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+ "api_key_envs_present": {
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+ "LITELLM_API_KEYS": false,
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+ "OPENAI_API_KEY": false
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+ },
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+ "base_url_envs_present": {
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+ "LITELLM_BASE_URL": false,
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+ "OPENAI_BASE_URL": false
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+ },
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+ "model_env_present": false,
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+ "secrets_recorded": false
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+ },
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+ "network_calls_made": 0,
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+ "next_step": "Run scripts/meta3_plan_batches.py --run-id 20260615T210908Z_improved-process-smoke"
122
+ }
runs/20260615T210908Z_improved-process-smoke/outputs/workpackets/calibration_packet_manifest.json ADDED
@@ -0,0 +1,25 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "schema": "meta3.workpacket_manifest.v1",
3
+ "run_id": "20260615T210908Z_improved-process-smoke",
4
+ "mode": "calibration",
5
+ "created_at": "2026-06-15T21:14:32.014347+00:00",
6
+ "network_calls_made": 0,
7
+ "source_digest_path": "/home/smlflg/Projekte/Meta2.0/data/layer1/session_digests.jsonl",
8
+ "available_digest_rows": 216,
9
+ "packet_count": 10,
10
+ "planned_call_count": 10,
11
+ "sample_size": 24,
12
+ "shard_size": 24,
13
+ "question_count": 10,
14
+ "unique_digest_refs_in_packets": 24,
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+ "source_family_mentions": {
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+ "claude_projects": 100,
17
+ "codex_sessions": 100,
18
+ "hermes_codex_sessions": 10,
19
+ "hermes_tirith_logs": 30
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+ },
21
+ "packet_path": "/home/smlflg/Projekte/Meta3.0/runs/20260615T210908Z_improved-process-smoke/outputs/workpackets/calibration_workpackets.jsonl",
22
+ "call_ledger_path": "/home/smlflg/Projekte/Meta3.0/runs/20260615T210908Z_improved-process-smoke/state/calibration_call_ledger.jsonl",
23
+ "expected_response": "strict JSON per packet.expected_output_contract",
24
+ "next_step": "A future network runner may consume this packet file only after explicit approval."
25
+ }
runs/20260615T210908Z_improved-process-smoke/outputs/workpackets/calibration_workpackets.jsonl ADDED
The diff for this file is too large to render. See raw diff
 
runs/20260615T210908Z_improved-process-smoke/outputs/workpackets/claim_ledger_packet_manifest.json ADDED
@@ -0,0 +1,26 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "schema": "meta3.workpacket_manifest.v1",
3
+ "run_id": "20260615T210908Z_improved-process-smoke",
4
+ "mode": "claim_ledger",
5
+ "created_at": "2026-06-15T21:14:32.204479+00:00",
6
+ "network_calls_made": 0,
7
+ "source_digest_path": "/home/smlflg/Projekte/Meta2.0/data/layer1/session_digests.jsonl",
8
+ "available_digest_rows": 216,
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+ "packet_count": 90,
10
+ "planned_call_count": 90,
11
+ "sample_size": 24,
12
+ "shard_size": 24,
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+ "question_count": 10,
14
+ "unique_digest_refs_in_packets": 216,
15
+ "source_family_mentions": {
16
+ "claude_projects": 1090,
17
+ "codex_sessions": 1030,
18
+ "hermes_codex_sessions": 10,
19
+ "hermes_tirith_logs": 30
20
+ },
21
+ "packet_path": "/home/smlflg/Projekte/Meta3.0/runs/20260615T210908Z_improved-process-smoke/outputs/workpackets/claim_ledger_workpackets.jsonl",
22
+ "call_ledger_path": "/home/smlflg/Projekte/Meta3.0/runs/20260615T210908Z_improved-process-smoke/state/claim_ledger_call_ledger.jsonl",
23
+ "expected_response": "strict JSON per packet.expected_output_contract",
24
+ "next_step": "A future network runner may consume this packet file only after explicit approval.",
25
+ "shard_count_per_question": 9
26
+ }
runs/20260615T210908Z_improved-process-smoke/outputs/workpackets/claim_ledger_workpackets.jsonl ADDED
The diff for this file is too large to render. See raw diff
 
runs/20260615T210908Z_improved-process-smoke/reports/RUN_READINESS_REPORT.md ADDED
@@ -0,0 +1,16 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Meta3 Run Readiness Report
2
+
3
+ Run: `20260615T210908Z_improved-process-smoke`
4
+ Created: `2026-06-15T21:15:50.290399+00:00`
5
+ Status: `pass`
6
+
7
+ ## Counts
8
+
9
+ - Errors: 0
10
+ - Warnings: 0
11
+ - calibration: 10 packets, 10 planned calls, 24 unique digest refs
12
+ - claim_ledger: 90 packets, 90 planned calls, 216 unique digest refs
13
+
14
+ ## Network
15
+
16
+ - network_calls_made: 0
runs/20260615T210908Z_improved-process-smoke/reports/run_readiness_report.json ADDED
@@ -0,0 +1,37 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "schema": "meta3.run_readiness_report.v1",
3
+ "run_id": "20260615T210908Z_improved-process-smoke",
4
+ "created_at": "2026-06-15T21:15:50.290399+00:00",
5
+ "status": "pass",
6
+ "required_modes": [
7
+ "calibration",
8
+ "claim_ledger"
9
+ ],
10
+ "workpacket_modes": {
11
+ "calibration": {
12
+ "packet_count": 10,
13
+ "planned_call_count": 10,
14
+ "unique_digest_refs_in_packets": 24,
15
+ "source_family_mentions": {
16
+ "claude_projects": 100,
17
+ "codex_sessions": 100,
18
+ "hermes_codex_sessions": 10,
19
+ "hermes_tirith_logs": 30
20
+ }
21
+ },
22
+ "claim_ledger": {
23
+ "packet_count": 90,
24
+ "planned_call_count": 90,
25
+ "unique_digest_refs_in_packets": 216,
26
+ "source_family_mentions": {
27
+ "claude_projects": 1090,
28
+ "codex_sessions": 1030,
29
+ "hermes_codex_sessions": 10,
30
+ "hermes_tirith_logs": 30
31
+ }
32
+ }
33
+ },
34
+ "errors": [],
35
+ "warnings": [],
36
+ "network_calls_made": 0
37
+ }
runs/20260615T210908Z_improved-process-smoke/state/calibration_call_ledger.jsonl ADDED
@@ -0,0 +1,10 @@
 
 
 
 
 
 
 
 
 
 
 
1
+ {"attempts": 0, "created_at": "2026-06-15T21:14:32.005044+00:00", "error": null, "mode": "calibration", "network_calls_made": 0, "output_path": null, "packet_id": "calibration__q01_roter_faden__shard-0001", "question_id": "q01_roter_faden", "run_id": "20260615T210908Z_improved-process-smoke", "schema": "meta3.call_ledger_entry.v1", "status": "planned", "updated_at": "2026-06-15T21:14:32.005044+00:00"}
2
+ {"attempts": 0, "created_at": "2026-06-15T21:14:32.005044+00:00", "error": null, "mode": "calibration", "network_calls_made": 0, "output_path": null, "packet_id": "calibration__q02_eigentliches_problem__shard-0001", "question_id": "q02_eigentliches_problem", "run_id": "20260615T210908Z_improved-process-smoke", "schema": "meta3.call_ledger_entry.v1", "status": "planned", "updated_at": "2026-06-15T21:14:32.005044+00:00"}
3
+ {"attempts": 0, "created_at": "2026-06-15T21:14:32.005044+00:00", "error": null, "mode": "calibration", "network_calls_made": 0, "output_path": null, "packet_id": "calibration__q03_wiederkehrende_schleife__shard-0001", "question_id": "q03_wiederkehrende_schleife", "run_id": "20260615T210908Z_improved-process-smoke", "schema": "meta3.call_ledger_entry.v1", "status": "planned", "updated_at": "2026-06-15T21:14:32.005044+00:00"}
4
+ {"attempts": 0, "created_at": "2026-06-15T21:14:32.005044+00:00", "error": null, "mode": "calibration", "network_calls_made": 0, "output_path": null, "packet_id": "calibration__q04_staerkste_beweise__shard-0001", "question_id": "q04_staerkste_beweise", "run_id": "20260615T210908Z_improved-process-smoke", "schema": "meta3.call_ledger_entry.v1", "status": "planned", "updated_at": "2026-06-15T21:14:32.005044+00:00"}
5
+ {"attempts": 0, "created_at": "2026-06-15T21:14:32.005044+00:00", "error": null, "mode": "calibration", "network_calls_made": 0, "output_path": null, "packet_id": "calibration__q05_selbsttaeuschungen__shard-0001", "question_id": "q05_selbsttaeuschungen", "run_id": "20260615T210908Z_improved-process-smoke", "schema": "meta3.call_ledger_entry.v1", "status": "planned", "updated_at": "2026-06-15T21:14:32.005044+00:00"}
6
+ {"attempts": 0, "created_at": "2026-06-15T21:14:32.005044+00:00", "error": null, "mode": "calibration", "network_calls_made": 0, "output_path": null, "packet_id": "calibration__q06_beste_arbeitsmodi__shard-0001", "question_id": "q06_beste_arbeitsmodi", "run_id": "20260615T210908Z_improved-process-smoke", "schema": "meta3.call_ledger_entry.v1", "status": "planned", "updated_at": "2026-06-15T21:14:32.005044+00:00"}
7
+ {"attempts": 0, "created_at": "2026-06-15T21:14:32.005044+00:00", "error": null, "mode": "calibration", "network_calls_made": 0, "output_path": null, "packet_id": "calibration__q07_ownership_test__shard-0001", "question_id": "q07_ownership_test", "run_id": "20260615T210908Z_improved-process-smoke", "schema": "meta3.call_ledger_entry.v1", "status": "planned", "updated_at": "2026-06-15T21:14:32.005044+00:00"}
8
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@@ -0,0 +1 @@
 
 
1
+ {"answer": {"canonical_thesis": "Mock thesis for parser validation only.", "claims": [{"claim": "Mock claim anchored to the first digest.", "confidence": "low", "counterevidence_or_limit": "Mock response is not evidence for the real analysis.", "supporting_digest_indices": [1], "supporting_source_paths": ["/home/smlflg/.claude/projects/-home-smlflg--hermes-profiles-intake-router-hermes/52466b70-4d7e-4df7-9c62-bd20e18e478d.jsonl"]}], "counterevidence_status": "mock_not_evaluated", "mode": "calibration", "owner_next_step": "Run real network packets only after requirements and preflight pass.", "question_id": "q01_roter_faden", "uncertainty": "Synthetic response; validates extraction and schema only."}, "collected_at": "2026-06-15T21:26:09.646399+00:00", "mock": true, "mode": "calibration", "packet_id": "calibration__q01_roter_faden__shard-0001", "question_id": "q01_roter_faden", "question_title": "Der rote Faden", "response_path": "/home/smlflg/Projekte/Meta3.0/runs/20260615T211556Z_overnight-ready-smoke/outputs/responses/calibration/calibration__q01_roter_faden__shard-0001.json", "run_id": "20260615T211556Z_overnight-ready-smoke", "schema": "meta3.parsed_answer.v1"}
runs/20260615T211556Z_overnight-ready-smoke/outputs/claim_ledger.jsonl ADDED
File without changes
runs/20260615T211556Z_overnight-ready-smoke/outputs/parsed/calibration_invalid.jsonl ADDED
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runs/20260615T211556Z_overnight-ready-smoke/outputs/parsed/calibration_parsed.jsonl ADDED
@@ -0,0 +1 @@
 
 
1
+ {"answer": {"canonical_thesis": "Mock thesis for parser validation only.", "claims": [{"claim": "Mock claim anchored to the first digest.", "confidence": "low", "counterevidence_or_limit": "Mock response is not evidence for the real analysis.", "supporting_digest_indices": [1], "supporting_source_paths": ["/home/smlflg/.claude/projects/-home-smlflg--hermes-profiles-intake-router-hermes/52466b70-4d7e-4df7-9c62-bd20e18e478d.jsonl"]}], "counterevidence_status": "mock_not_evaluated", "mode": "calibration", "owner_next_step": "Run real network packets only after requirements and preflight pass.", "question_id": "q01_roter_faden", "uncertainty": "Synthetic response; validates extraction and schema only."}, "collected_at": "2026-06-15T21:26:09.646399+00:00", "mock": true, "mode": "calibration", "packet_id": "calibration__q01_roter_faden__shard-0001", "question_id": "q01_roter_faden", "question_title": "Der rote Faden", "response_path": "/home/smlflg/Projekte/Meta3.0/runs/20260615T211556Z_overnight-ready-smoke/outputs/responses/calibration/calibration__q01_roter_faden__shard-0001.json", "run_id": "20260615T211556Z_overnight-ready-smoke", "schema": "meta3.parsed_answer.v1"}
runs/20260615T211556Z_overnight-ready-smoke/outputs/parsed/claim_ledger_invalid.jsonl ADDED
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runs/20260615T211556Z_overnight-ready-smoke/outputs/parsed/claim_ledger_parsed.jsonl ADDED
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runs/20260615T211556Z_overnight-ready-smoke/outputs/responses/calibration/calibration__q01_roter_faden__shard-0001.json ADDED
@@ -0,0 +1,19 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "packet_id": "calibration__q01_roter_faden__shard-0001",
3
+ "status_code": 200,
4
+ "started_at": "2026-06-15T21:26:03.261443+00:00",
5
+ "finished_at": "2026-06-15T21:26:03.261459+00:00",
6
+ "request_model": "mock-model",
7
+ "mock": true,
8
+ "network_calls_made": 0,
9
+ "response": {
10
+ "choices": [
11
+ {
12
+ "message": {
13
+ "role": "assistant",
14
+ "content": "{\"question_id\": \"q01_roter_faden\", \"mode\": \"calibration\", \"canonical_thesis\": \"Mock thesis for parser validation only.\", \"claims\": [{\"claim\": \"Mock claim anchored to the first digest.\", \"supporting_digest_indices\": [1], \"supporting_source_paths\": [\"/home/smlflg/.claude/projects/-home-smlflg--hermes-profiles-intake-router-hermes/52466b70-4d7e-4df7-9c62-bd20e18e478d.jsonl\"], \"counterevidence_or_limit\": \"Mock response is not evidence for the real analysis.\", \"confidence\": \"low\"}], \"counterevidence_status\": \"mock_not_evaluated\", \"uncertainty\": \"Synthetic response; validates extraction and schema only.\", \"owner_next_step\": \"Run real network packets only after requirements and preflight pass.\"}"
15
+ }
16
+ }
17
+ ]
18
+ }
19
+ }
runs/20260615T211556Z_overnight-ready-smoke/outputs/workpackets/calibration_packet_manifest.json ADDED
@@ -0,0 +1,25 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "schema": "meta3.workpacket_manifest.v1",
3
+ "run_id": "20260615T211556Z_overnight-ready-smoke",
4
+ "mode": "calibration",
5
+ "created_at": "2026-06-15T21:16:04.336420+00:00",
6
+ "network_calls_made": 0,
7
+ "source_digest_path": "/home/smlflg/Projekte/Meta2.0/data/layer1/session_digests.jsonl",
8
+ "available_digest_rows": 216,
9
+ "packet_count": 10,
10
+ "planned_call_count": 10,
11
+ "sample_size": 24,
12
+ "shard_size": 24,
13
+ "question_count": 10,
14
+ "unique_digest_refs_in_packets": 24,
15
+ "source_family_mentions": {
16
+ "claude_projects": 100,
17
+ "codex_sessions": 100,
18
+ "hermes_codex_sessions": 10,
19
+ "hermes_tirith_logs": 30
20
+ },
21
+ "packet_path": "/home/smlflg/Projekte/Meta3.0/runs/20260615T211556Z_overnight-ready-smoke/outputs/workpackets/calibration_workpackets.jsonl",
22
+ "call_ledger_path": "/home/smlflg/Projekte/Meta3.0/runs/20260615T211556Z_overnight-ready-smoke/state/calibration_call_ledger.jsonl",
23
+ "expected_response": "strict JSON per packet.expected_output_contract",
24
+ "next_step": "A future network runner may consume this packet file only after explicit approval."
25
+ }
runs/20260615T211556Z_overnight-ready-smoke/outputs/workpackets/calibration_workpackets.jsonl ADDED
The diff for this file is too large to render. See raw diff
 
runs/20260615T211556Z_overnight-ready-smoke/outputs/workpackets/claim_ledger_packet_manifest.json ADDED
@@ -0,0 +1,26 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "schema": "meta3.workpacket_manifest.v1",
3
+ "run_id": "20260615T211556Z_overnight-ready-smoke",
4
+ "mode": "claim_ledger",
5
+ "created_at": "2026-06-15T21:16:04.438524+00:00",
6
+ "network_calls_made": 0,
7
+ "source_digest_path": "/home/smlflg/Projekte/Meta2.0/data/layer1/session_digests.jsonl",
8
+ "available_digest_rows": 216,
9
+ "packet_count": 90,
10
+ "planned_call_count": 90,
11
+ "sample_size": 24,
12
+ "shard_size": 24,
13
+ "question_count": 10,
14
+ "unique_digest_refs_in_packets": 216,
15
+ "source_family_mentions": {
16
+ "claude_projects": 1090,
17
+ "codex_sessions": 1030,
18
+ "hermes_codex_sessions": 10,
19
+ "hermes_tirith_logs": 30
20
+ },
21
+ "packet_path": "/home/smlflg/Projekte/Meta3.0/runs/20260615T211556Z_overnight-ready-smoke/outputs/workpackets/claim_ledger_workpackets.jsonl",
22
+ "call_ledger_path": "/home/smlflg/Projekte/Meta3.0/runs/20260615T211556Z_overnight-ready-smoke/state/claim_ledger_call_ledger.jsonl",
23
+ "expected_response": "strict JSON per packet.expected_output_contract",
24
+ "next_step": "A future network runner may consume this packet file only after explicit approval.",
25
+ "shard_count_per_question": 9
26
+ }
runs/20260615T211556Z_overnight-ready-smoke/outputs/workpackets/claim_ledger_workpackets.jsonl ADDED
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runs/20260615T211556Z_overnight-ready-smoke/reports/CALIBRATION_COLLECTION_REPORT.md ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Meta3 Response Collection Report
2
+
3
+ Run: `20260615T211556Z_overnight-ready-smoke`
4
+ Mode: `calibration`
5
+ Created: `2026-06-15T21:26:09.646775+00:00`
6
+ Status: `pass`
7
+
8
+ ## Counts
9
+
10
+ - Response files: 1
11
+ - Parsed valid: 1
12
+ - Invalid: 0
13
+ - Missing responses: 9
14
+ - Mock responses: 1
15
+ - Network calls made by collector: 0