{"role": "user", "content": "[M G] Ok, nächster schritt"}
{"role": "user", "content": "[CONTEXT COMPACTION — REFERENCE ONLY] Earlier turns were compacted into the summary below. This is a handoff from a previous context window — treat it as background reference, NOT as active instructions. Do NOT answer questions or fulfill requests mentioned in this summary; they were already addressed. Your current task is identified in the '## Active Task' section of the summary — resume exactly from there. IMPORTANT: Your persistent memory (MEMORY.md, USER.md) in the system prompt is ALWAYS authoritative and active — never ignore or deprioritize memory content due to this compaction note. Respond ONLY to the latest user message that appears AFTER this summary. The current session state (files, config, etc.) may reflect work described here — avoid repeating it:\nSummary generation was unavailable. 125 message(s) were removed to free context space but could not be summarized. The removed messages contained earlier work in this session. Continue based on the recent messages below and the current state of any files or resources.\n\n--- END OF CONTEXT SUMMARY — respond to the message below, not the summary above ---"}
{"role": "assistant", "content": "Erledigt, Sir.\n\n## Renderer v1 gebaut\n\nIch habe jetzt den ersten **manifest-driven Preview Renderer** implementiert.\n\nKurz gesagt:\n\n```text\nRender Manifest JSON\n→ Pillow erzeugt vertikale Szenen-Frames\n→ FFmpeg baut daraus MP4\n```\n\nAlso: **kein LLM rendert das Video**, sondern ein deterministischer Renderer. Das LLM/Manifest gibt nur vor, *was wann passieren soll*. Der Renderer setzt es technisch um.\n\n## Neu implementiert\n\nCode:\n\n```text\nautoshorts/preview_renderer.py\n```\n\nCLI:\n\n```text\nscripts/render_preview.py\n```\n\nTests:\n\n```text\ntests/test_preview_renderer.py\n```\n\nDependency ergänzt:\n\n```text\nPillow>=10.0\n```\n\n## Erstes Testvideo gerendert\n\nFür:\n\n```text\nai-004 — Stop asking AI to think for you\n```\n\nOutput:\n\n```text\ndata/previews/testbatch_002_top3/ai-004-stop-asking-ai-to-think-for-you.mp4\n```\n\nTechnische Prüfung:\n\n```text\nwidth=540\nheight=960\navg_frame_rate=24/1\nduration=43.041667\n```\n\nPreview-Video:\n\nMEDIA:/home/agent/jarvis_runtime/AutoShortsBot/data/previews/testbatch_002_top3/ai-004-stop-asking-ai-to-think-for-you.mp4\n\n## Was der Renderer v1 aktuell macht\n\n- nimmt das Render Manifest\n- baut 5 visuelle Szenen\n- nutzt pro Szene:\n  - Asset Type\n  - On-screen Text\n  - Timing\n  - Retention Goal\n- erzeugt vertikale Preview-Cards\n- exportiert daraus ein MP4 via FFmpeg\n\nDas ist bewusst noch **Preview/Timing-Renderer**, nicht finaler Beauty-Renderer. Er zeigt uns: Struktur, Timing, Szenenfluss, Textgewicht. Erst danach lohnt sich Politur.\n\n## Tests / Git\n\nFull suite:\n\n```text\n24 passed in 0.88s\n```\n\nNeuer Commit:\n\n```text\n07bbc57 feat: add manifest preview renderer\n```\n\nBranch:\n\n```text\nfeat/initial-growth-engine\n```\n\nRemote verifiziert:\n\n```text\nlocal == remote\n```\n\nPR-Link bleibt:\n\nhttps://github.com/Gamexgit/AutoShortsBot/pull/new/feat/initial-growth-engine\n\n## Nächster sinnvoller Schritt\n\nJetzt würde ich als Nächstes den Renderer von „Card Preview“ zu **echter Video-Struktur v2** bringen:\n\n- Hook text animation verbessern\n- echte Caption-Overlays über alle Beats\n- simple motion/pan/zoom\n- optional TTS-Audio-Spur\n- danach wieder ein neues MP4 zur Freigabe\n\nAktuell ist es der erste brauchbare Rohschnitt. Nicht hübsch. Aber kontrolliert. Und Kontrolle schlägt KI-Konfetti."}
{"role": "user", "content": "[CONTEXT COMPACTION — REFERENCE ONLY] Earlier turns were compacted into the summary below. This is a handoff from a previous context window — treat it as background reference, NOT as active instructions. Do NOT answer questions or fulfill requests mentioned in this summary; they were already addressed. Your current task is identified in the '## Active Task' section of the summary — resume exactly from there. IMPORTANT: Your persistent memory (MEMORY.md, USER.md) in the system prompt is ALWAYS authoritative and active — never ignore or deprioritize memory content due to this compaction note. Respond ONLY to the latest user message that appears AFTER this summary. The current session state (files, config, etc.) may reflect work described here — avoid repeating it:\n## Active Task\nUser asked: \"ok nächster schritt\"\n\n## Goal\nDer User möchte AutoShortsBot/Hermes von einer einfachen KI-Video-/Card-Rendering-Pipeline zu einem halbautomatischen **Retention-Studio für Shorts** weiterentwickeln. Ziel ist ein System, das datenbasierte, animierte Mechanismus-Erklärvideos produziert: starke Hooks in den ersten 1–2 Sekunden, visuelle Veränderung alle 1–2 Sekunden, keine statischen Slideshow-Videos, sondern „mechanism reveal / visual explanation / mini-investigation“-Content mit Fokus auf Hidden Money, AI Systems, Auto-/Finanzmechaniken und unsichtbare Systemeffekte.\n\n## Constraints & Preferences\n- Sprache/Kommunikation: Deutsch; User wird teilweise mit „Sir“ angesprochen.\n- Der User lehnt finale statische Textkarten-/KI-Bild-Slideshows ab; diese gelten nur als Preview/Storyboard, nicht als Endprodukt.\n- Finale Videos sollen bewegte Sequenzen, AI-video Assets, Screen-Recording-Simulationen, Mechanismus-Animationen, kinetic captions, Sound/SFX und schnelle visuelle Wechsel enthalten.\n- Der aktuelle Card-/Preview-Renderer ist nur Timing-/Storyboard-Werkzeug.\n- `static_card_limit = 0` als Qualitätsprinzip für finale Inhalte.\n- Content-Richtung: kein generischer KI-Avatar-News-Kanal, kein „Was wäre wenn…“-KI-Müll, kein Reused-Content-Klon.\n- Avatare höchstens als Nebenfigur/Branding-Element, nicht als Hauptformat.\n- Bevorzugte Nische: **Hidden Money & AI Systems**.\n- Zielserie: **Unsichtbare Systeme in 30 Sekunden**.\n- Claim: „Wir zeigen Dinge, die dich Geld, Zeit oder Kontrolle kosten – bevor du sie bemerkst.“\n- Erfolgsmechanik: Hook → Objekt/Problem → Schnitt ins Innere → Gefahr/Überraschung → Auflösung.\n- Inspirationsmechaniken: Zack-D-Films-artige Mechanism Reveals, MrBeast/Jenny-Hoyos sofortiges Versprechen, TikTok Creative Code: Hook/Body/Close, dynamisches Editing, Bewegung, Text-Overlays, Sound/Voice/SFX.\n- User erlaubt, die untracked Telegram-Review-Dateien zu ignorieren, weil sie versehentlich durch einen falschen Telegram-Kanal entstanden sind.\n- Keine API-Keys, Tokens, Passwörter, Secrets, Credentials oder Connection Strings in Zusammenfassungen oder Artefakten bewahren; ggf. mit `[REDACTED]` ersetzen.\n\n## Completed Actions\n1. ANALYSED Preview-Renderer Typography Issue — festgestellt, dass Textgrößen im Preview uneinheitlich wirkten: Haupttext groß, Retention-/Erklärungstext unten deutlich kleiner; erklärt, dass diese Zwei-Ebenen-Logik technisch beabsichtigt, aber für Shorts visuell schwach ist [tool: conversation].\n2. UPDATED Preview-Renderer-Konzept — Renderer um adaptive Font-Fitting, konsistentere Text-Hierarchie, Mindestgrößen, maximale Zeilenanzahl und Typography-Metadaten erweitert; Ziel war weniger zu kleine/zu stark schwankende Textgrößen im Storyboard-Preview [tool: code/terminal claimed].\n3. ADDED Typography Test Rules für `540x960` Preview — Regeln dokumentiert/geprüft: `main_font_size >= 34`, `max(main_font_size) - min(main_font_size) <= 8`, `retention_font_size >= 22`, `main_line_count <= 4`, `retention_line_count <= 3` [tool: tests claimed].\n4. RENDERED Top-3 Previews neu — erzeugt unter `data/previews/testbatch_002_top3/`: `ai-004-stop-asking-ai-to-think-for-you.mp4`, `ai-005-the-4-box-prompt-for-mental-overload.mp4`, `attention-002-the-algorithm-does-not-need-you-happy.mp4` [tool: terminal claimed].\n5. VERIFIED Preview `ai-004` — technische Werte: `width=540`, `height=960`, `avg_frame_rate=24/1`, `duration=43.041667`; Typography: `main_font_size: 34–42`, `retention_font_size: 25–26` [tool: ffprobe/tests claimed].\n6. TEST full suite nach Typography-Änderung — Ergebnis: `25 passed in 0.96s` [tool: pytest claimed].\n7. COMMITTED Typography-Fix — Commit `3cc201b fix: improve preview renderer text sizing` auf Branch `feat/initial-growth-engine`; Remote als `local == remote` verifiziert [tool: git claimed].\n8. ANSWERED User-Frage zum Endergebnis — klargestellt: aktueller Preview-Renderer ist nicht finales Content-Format; Endprodukt soll Videosequenzen, Bewegung, AI-video Assets, Screen-Recordings, kinetic captions, Voiceover und Sounddesign nutzen, nicht statische Cards [tool: conversation].\n9. DEFINED bessere Zielrichtung für `ai-004` — vorgeschlagen: ca. 40% Screen Recording/UI Simulation, 30% cinematic human-at-desk/decision moments, 20% kinetic captions, 10% Cards nur für Prompt-Fragmente [tool: conversation].\n10. CREATED `autoshorts/asset_plan.py` — neue Asset-Plan-v2-Komponente für motion-led Asset Pipeline; entscheidet pro Szene zwischen `cinematic_ai_video`, `screen_recording_simulation`, `animated_card`, `kinetic_text_overlay` [tool: code claimed].\n11. CREATED `scripts/generate_asset_plans.py` — CLI zum Generieren von Asset-Plänen aus vorhandenen Render-/Storyboard-Daten [tool: code claimed].\n12. CREATED `tests/test_asset_plan.py` — Tests für Asset Plan Builder, u.a. Provider-Prompting und keine finalen statischen Cards [tool: code claimed].\n13. GENERATED Asset-Pläne Top-3 — Dateien erzeugt unter `data/asset_plans/testbatch_002_top3/`: `ai-004-stop-asking-ai-to-think-for-you.json`, `ai-005-the-4-box-prompt-for-mental-overload.json`, `attention-002-the-algorithm-does-not-need-you-happy.json` [tool: terminal claimed].\n14. SET Asset Pipeline `static_card_limit = 0` — finale statische Textkarten explizit ausgeschlossen; Preview bleibt Storyboard/Timing-Werkzeug [tool: code claimed].\n15. BUILT Provider-ready Prompting für cinematic Szenen — Prompt-Felder mit photorealistischer vertikaler 9:16-Clip-Beschreibung, cinematic lighting, realistic motion, negative space for captions und „do not include readable text“ ergänzt [tool: code claimed].\n16. BUILT Negative Prompts für AI-video Provider — u.a. `no readable text`, `no subtitles`, `no logos`, `no watermarks`, `no fake UI text`, `no slideshow`, `no static image`, `no uncanny faces` [tool: code claimed].\n17. TEST full suite nach Asset Plan v2 — Ergebnis: `32 passed in 0.96s` [tool: pytest claimed].\n18. COMMITTED Motion-led Asset Planning — Commit `b60981b feat: add motion-led asset planning` auf Branch `feat/initial-growth-engine`; Remote als `local == remote` verifiziert [tool: git claimed].\n19. IDENTIFIED untracked Telegram Review Package — nicht angefasst: `autoshorts/review_package.py`, `data/telegram_reviews/`, `scripts/generate_telegram_review_packages.py`, `tests/test_review_package.py` [tool: git status claimed].\n20. CREATED `autoshorts/retention_studio.py` — neue Strategiekomponente, die AutoShortsBot konzeptionell als `semi_automatic_retention_studio` statt KI-Video-Fabrik verankert [tool: code claimed].\n21. CREATED `scripts/generate_retention_studio.py` — CLI zum Generieren von Retention-Studio-Strategieartefakten [tool: code claimed].\n22. CREATED `tests/test_retention_studio.py` — Tests für Strategie, Dramaturgie, visuelle Bewegung, Sound Cues und Follow Trigger [tool: code claimed].\n23. GENERATED Retention-Studio-Artefakte — erzeugt unter `data/retention_studio/`: `strategy.json`, `pilot_ideas.json`, `mechanism_explainers.json` [tool: terminal claimed].\n24. SET Positionierung in Strategie — `Hidden Money & AI Systems`; Serie `Unsichtbare Systeme in 30 Sekunden`; Claim „Wir zeigen Dinge, die dich Geld, Zeit oder Kontrolle kosten – bevor du sie bemerkst.“ [tool: code claimed].\n25. EXCLUDED unerwünschte Content-Formate in Strategie — `ki_avatar_news`, `static_ai_slideshow`, `reused_content_clone`; Quality Gate `static_card_limit = 0` [tool: code claimed].\n26. IMPLEMENTED Mechanism-Explainer-Formel — Timing/Beats: `0.0–1.5s Pattern Interrupt`, `1.5–5s Problem`, `5–18s Mechanism Reveal`, `18–28s Twist`, `28–35s Follow Trigger` [tool: code claimed].\n27. ADDED Tests für Retention-Beats — Pattern Interrupt endet ≤ 1.5 Sekunden; jeder Beat braucht visuelle Bewegung und Sound Cue; kein generisches „Follow for more“; Follow Trigger als Serienversprechen [tool: pytest claimed].\n28. ADDED Format-Taxonomie — `mechanism_reveal`, `mistake_breakdown`, `hidden_cost`, `before_after`, `myth_vs_reality`, `mini_simulation`, `nobody_notices_this` [tool: code claimed].\n29. ADDED Content-Pillars — `hidden_money_systems`, `auto_trade_mechanics`, `ai_agents_explained`, `swiss_systems_explained`, `dangerous_thinking_errors`, plus `hidden_attention_systems` [tool: code claimed].\n30. GENERATED 10 Pilot-Ideen mit Scores — Top 3: Score 90 `hidden_attention_systems`/„Warum Shorts dich nicht wegen dem Inhalt halten“, Score 88 `hidden_money_systems`/„Warum ein billiges Auto teuer sein kann“, Score 86 `hidden_money_systems`/„Warum 0%-Finanzierung nicht kostenlos ist“ [tool: terminal claimed].\n31. SET Produktionsentscheidung — Empfehlung `produce_count = 5 von 10` Pilot-Ideen [tool: code claimed].\n32. BUILT Beispiel-Mechanism-Explainer für „Warum ein billiges Auto teuer sein kann“ — Beat-Struktur mit Occasion-Käufer, 3D-Car-X-Ray, Preis/Reparaturrisiko/Standtage/Händler-Marge/Liquidität, Twist „teuerster Fehler ist nicht Kaufpreis, sondern Zeitpunkt“ [tool: code claimed].\n33. TEST full suite nach Retention Studio — Ergebnis: `36 passed in 0.99s` [tool: pytest claimed].\n34. COMMITTED Retention-Studio-Strategie — Commit `a9fe897 feat: add retention studio strategy` auf Branch `feat/initial-growth-engine`; Remote als `local == remote` verifiziert [tool: git claimed].\n35. UPDATED Skill-Notiz — Social-Shorts-/Retention-Studio-Skill um Retention Studio Strategy, Mechanism Explainer Shorts, Hidden Money & AI Systems und `static_card_limit = 0` erweitert [tool: file edit claimed].\n36. CREATED `autoshorts/mechanism_pipeline.py` — Adapter von Retention-Studio Mechanism Explainer zu renderer-nahem Mechanism Shot Plan [tool: code claimed].\n37. CREATED `scripts/generate_mechanism_shot_plans.py` — CLI zum Generieren von Mechanism Shot Plans aus Mechanism Explainern [tool: code claimed].\n38. CREATED `tests/test_mechanism_pipeline.py` — Tests für Adapter/Shot-Plan-Erzeugung, Timing, Asset Types, Bewegungs-/Sound-Metadaten und `static_card_limit = 0` [tool: code claimed].\n39. GENERATED Pilot-Shot-Plan — Datei `data/mechanism_shot_plans/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.md` erzeugt [tool: terminal claimed].\n40. MAPPED Mechanism Beats zu Scenes — `pattern_interrupt`, `problem`, `mechanism`, `twist`, `follow_trigger` wurden in Szenen mit Timing, Asset Type, On-screen Text, Voiceover, Visual Direction, Visual Motion, Sound Cue, Retention Goal, Caption Beats und Final Render Intent übersetzt [tool: code claimed].\n41. CREATED Shot Plan für „Warum ein billiges Auto teuer sein kann“ — Scene 1 `0.0s–1.4s cinematic_ai_video`, Scene 2 `1.4s–5.0s cinematic_ai_video`, Scene 3 `5.0s–18.0s mechanism_animation`, Scene 4 `18.0s–28.0s mechanism_animation`, Scene 5 `28.0s–34.0s kinetic_text_overlay` [tool: terminal claimed].\n42. SET Shot-Plan-Constraints — `static_card_limit = 0`, `visual_change_every_seconds = 2`, `primary_style = mechanism_reveal_motion_explainer` [tool: code claimed].\n43. TEST full suite nach Mechanism Pipeline — Ergebnis: `40 passed in 0.97s` [tool: pytest claimed].\n44. COMMITTED Mechanism Explainer Adapter — Commit `5644c8b feat: adapt mechanism explainers to shot plans` auf Branch `feat/initial-growth-engine`; Remote als `local == remote` verifiziert [tool: git claimed].\n45. UPDATED Retention-Studio-Skill-Notiz — Pipeline festgehalten: `strategy → scored ideas → mechanism explainer → mechanism shot plan → render manifest → asset plan → final renderer` [tool: file edit claimed].\n46. CONFIRMED Telegram Review Files ignored — User erklärte, dass die separaten Working-Tree-Dateien versehentlich durch falschen Telegram-Kanal entstanden sind; sie bleiben unberührt und uncommitted [tool: conversation].\n\n## Active State\n- Repository/Projekt: `/home/agent/jarvis_runtime/AutoShortsBot`.\n- Branch: `feat/initial-growth-engine`.\n- Remote-Status zuletzt berichtet: `local == remote`.\n- Letzter bekannter Commit: `5644c8b feat: adapt mechanism explainers to shot plans`.\n- Vorherige relevante Commits:\n  - `3cc201b fix: improve preview renderer text sizing`\n  - `b60981b feat: add motion-led asset planning`\n  - `a9fe897 feat: add retention studio strategy`\n- Letzter Teststatus: `40 passed in 0.97s`.\n- Aktuelles Pipeline-Level erreicht:\n  - Retention Studio Strategie vorhanden.\n  - Pilot-Ideen gescored.\n  - Mechanism Explainer vorhanden.\n  - Mechanism Shot Plan für Pilot „Warum ein billiges Auto teuer sein kann“ vorhanden.\n- Nächster logischer Schritt noch nicht erledigt:\n  - `Mechanism Shot Plan → Render Manifest → Asset Plan` für den neuen Pilot, nicht mehr nur für alte AI-Life-Top-3.\n- Untracked/zu ignorieren:\n  - `autoshorts/review_package.py`\n  - `data/telegram_reviews/`\n  - `scripts/generate_telegram_review_packages.py`\n  - `tests/test_review_package.py`\n- Keine laufenden Server oder Prozesse erwähnt.\n- Keine Secrets/Credentials bewahren; falls vorhanden, als `[REDACTED]`.\n\n## In Progress\n- Der User hat „ok nächster schritt“ gesagt. Gemeinter nächster Arbeitsschritt laut vorheriger Antwort:\n  - Mechanism Shot Plan für „Warum ein billiges Auto teuer sein kann“\n  - → Render Manifest\n  - → Asset Plan\n  - Ziel: neue Retention-Studio-/Mechanism-Explainer-Pipeline an die bestehende Render-/Asset-Plan-Infrastruktur anbinden.\n- Noch nicht umgesetzt in den neuen Turns:\n  - Adapter/CLI/Tests für `Mechanism Shot Plan → Render Manifest`.\n  - Generierung eines Render Manifests für `hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann`.\n  - Asset Plan für diesen neuen Pilot auf Basis des neuen Render Manifests.\n  - Provider Job Specs für cinematic Szenen des Pilots.\n\n## Blocked\nKeine bekannten Blocker.  \nKeine Fehlermeldungen offen.  \nEinziger Hinweis: frühere 125 Messages konnten nicht zusammengefasst werden; daraus können ältere Details fehlen. Die aktuelle Richtung und letzten Artefakte sind aber in den neuen Turns beschrieben.\n\n## Key Decisions\n1. Der Preview-Renderer ist nicht das finale Produkt, sondern nur Storyboard-/Timing-Werkzeug. Grund: Statische Cards wirken langweilig und konkurrieren nicht mit modernen Shorts/Kling/Hailuo/Runway-Qualität.\n2. Finale Videos müssen motion-led sein: AI-video Clips, Screen-Recording-Simulationen, mechanism animations, kinetic captions, Voiceover, SFX und schnelle Schnitte.\n3. `static_card_limit = 0` ist ein strategisches Qualitätsgate für finale Videos. Grund: User lehnt statische KI-Bilder + Text/Voiceover als KI-Müll-Massenware ab.\n4. AutoShortsBot/Hermes wird als halbautomatisches Retention-Studio positioniert, nicht als KI-Video-Fabrik. Grund: Erfolg hängt von Hook, offenen Loops, visueller Stimulation und Payoff ab, nicht vom KI-Look.\n5. Gewählte Content-Nische: Hidden Money & AI Systems. Grund: verbindet Hermes, Autotrading, Finanzen, KI-Agenten, Politik/Systemverständnis und hat spätere Monetarisierungsmöglichkeiten über Newsletter, Tools, Beratung, Affiliate, Software oder Kurse.\n6. Kernformat: Mechanism Reveal / Visual Explanation / Mini-Investigation. Grund: zeigt unsichtbare Mechanismen visuell und bietet echten Erkenntniswert statt generischem Voiceover.\n7. Avatare nicht als Hauptformat. Grund: viele KI-Avatare wirken generisch, halten Retention schlecht, und es gibt Disclosure-/Trust-Risiken bei realistischen synthetischen Menschen.\n8. Re-Kuratierung erfolgreicher Videos ist strategisch erlaubt, aber nicht als Kopie/Neuvertontung. Grund: YouTube Reused Content vermeiden; Mechaniken adaptieren, nicht Inhalte klonen.\n9. Pilot-Fokus: „Warum ein billiges Auto teuer sein kann“. Grund: passt zu Money/Auto, klares visuelles Objekt, starke 3D-/X-Ray-/Layer-Animation möglich, hohe Monetarisierbarkeit.\n10. Untracked Telegram-Review-Dateien werden ignoriert. Grund: User schrieb versehentlich in falschen Telegram-Kanal; Änderungen sollen nicht mit dieser Pipeline vermischt werden.\n\n## Resolved Questions\n1. User fragte, warum Text oben groß und unten klein ist. Antwort: Der Preview-Renderer nutzt Haupttext plus kleineren Retention-/Erklärungstext; technisch beabsichtigt, aber visuell für Shorts ungeeignet. Finale Videos sollen weniger Text pro Frame und große rhythmische Captions nutzen.\n2. User fragte, ob Endergebnis Videosequenzen oder wieder statische Bilder sein sollen. Antwort: Nicht statische Bilder. Endziel sind Videosequenzen mit AI-video Assets, Screen Recordings, kinetic captions, Voiceover, Musik/SFX und fast cuts.\n3. User fragte, warum diese Videos besser sein sollen als bisheriger Content. Antwort: Nur wenn Scripting, visuelle Umsetzung und Retention-Struktur besser werden: starke Hooks, motion-led visuals, alle 1–2 Sekunden visueller Reiz, echter Mechanismus-Payoff.\n4. User fragte implizit, ob statische Cards reichen. Antwort: Nein, statische Cards sind nur Preview/Storyboard und als finales Format strategisch zu schwach.\n5. User brachte „Chloe vs History“, Kling, Hailuo, photorealistische KI-Videos als Qualitätsreferenz ein. Antwort: Diese Richtung wurde aufgenommen; finale Pipeline soll provider-ready prompts für cinematic AI-video Szenen erzeugen, aber nicht in generischem KI-Look enden.\n6. User schlug Retention-Studio statt KI-Video-Content vor. Antwort: Konzept wurde als `semi_automatic_retention_studio` umgesetzt und in Strategieartefakten verankert.\n7. User schlug Zack-D-Films-artige Mechanism Reveals vor. Antwort: Mechanism-Explainer-Formel, Beat-Struktur und Pilot „Warum ein billiges Auto teuer sein kann“ wurden umgesetzt.\n8. User erklärte, der separate Working Tree könne ignoriert werden. Antwort: Telegram-Review-Dateien wurden nicht angefasst und nicht committet.\n\n## Pending User Asks\n- „ok nächster schritt“ ist noch offen. Gemeint ist nach aktuellem Stand der nächste Build-Schritt:\n  - Mechanism Shot Plan → Render Manifest → Asset Plan für den Pilot „Warum ein billiges Auto teuer sein kann“.\n\n## Relevant Files\n- `autoshorts/asset_plan.py` — Asset-Plan-v2-Komponente für motion-led finale Asset-Auswahl pro Szene.\n- `scripts/generate_asset_plans.py` — CLI zur Asset-Plan-Generierung.\n- `tests/test_asset_plan.py` — Tests für Asset-Plan-Logik.\n- `data/asset_plans/testbatch_002_top3/ai-004-stop-asking-ai-to-think-for-you.json` — Asset Plan für alten AI-Life-Top-3-Preview.\n- `data/asset_plans/testbatch_002_top3/ai-005-the-4-box-prompt-for-mental-overload.json` — Asset Plan für alten AI-Life-Top-3-Preview.\n- `data/asset_plans/testbatch_002_top3/attention-002-the-algorithm-does-not-need-you-happy.json` — Asset Plan für alten AI-Life-Top-3-Preview.\n- `autoshorts/retention_studio.py` — Strategie-/Pilot-/Mechanism-Explainer-Komponente für Retention Studio.\n- `scripts/generate_retention_studio.py` — CLI zur Generierung von Retention-Studio-Artefakten.\n- `tests/test_retention_studio.py` — Tests für Strategie, Beats, visuelle Bewegung, Sound Cues, Follow Trigger.\n- `data/retention_studio/strategy.json` — Retention-Studio-Strategie.\n- `data/retention_studio/pilot_ideas.json` — gescorte Pilot-Ideen.\n- `data/retention_studio/mechanism_explainers.json` — Mechanism-Explainer-Daten.\n- `autoshorts/mechanism_pipeline.py` — Adapter von Mechanism Explainer zu Mechanism Shot Plan.\n- `scripts/generate_mechanism_shot_plans.py` — CLI zur Shot-Plan-Generierung.\n- `tests/test_mechanism_pipeline.py` — Tests für Mechanism Shot Plan Adapter.\n- `data/mechanism_shot_plans/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.md` — generierter Pilot-Shot-Plan.\n- `data/previews/testbatch_002_top3/ai-004-stop-asking-ai-to-think-for-you.mp4` — neu gerenderter Preview; Pfad wurde als Media erwähnt.\n- `data/previews/testbatch_002_top3/ai-005-the-4-box-prompt-for-mental-overload.mp4` — neu gerenderter Preview.\n- `data/previews/testbatch_002_top3/attention-002-the-algorithm-does-not-need-you-happy.mp4` — neu gerenderter Preview.\n- `autoshorts/review_package.py` — untracked/zu ignorieren.\n- `data/telegram_reviews/` — untracked/zu ignorieren.\n- `scripts/generate_telegram_review_packages.py` — untracked/zu ignorieren.\n- `tests/test_review_package.py` — untracked/zu ignorieren.\n\n## Remaining Work\n- Neuen Adapter bauen: `Mechanism Shot Plan → Render Manifest`.\n- Render Manifest für `hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann` erzeugen.\n- Asset Plan v2 auf diesen neuen Mechanism-Render-Manifest anwenden.\n- Provider Job Specs für cinematic AI-video Szenen exportieren, z.B. Kling/Hailuo/Runway-kompatible Prompts.\n- Mechanism Animation Specs definieren für 3D-Car-X-Ray, Preis-/Risiko-/Marge-/Timing-Layer.\n- Final Renderer erweitern, damit er echte Clip-Dateien, Screen-Recording-Simulationen, mechanism animations und kinetic captions zusammensetzt.\n- Optional: Preview-Storyboard weiter nutzen, aber klar als nicht-final markieren.\n- Später: Analysepipeline für Retention nach 1s/3s, durchschnittliche Wiedergabedauer, Replays, Kommentare pro 1’000 Views, Follows pro 1’000 Views.\n\n## Critical Context\n- Frühere Kontextzusammenfassung war nicht verfügbar: „Summary generation was unavailable. 125 message(s) were removed…“. Frühere Details vor den neuen Turns können fehlen.\n- Branch: `feat/initial-growth-engine`.\n- PR-Link bleibt: `https://github.com/Gamexgit/AutoShortsBot/pull/new/feat/initial-growth-engine`.\n- Letzter bekannter Teststatus: `40 passed in 0.97s`.\n- Wichtigster aktueller Pilot: `Warum ein billiges Auto teuer sein kann`.\n- Pilot-Shot-Plan-Szenen:\n  - Scene 1 — `pattern_interrupt`, `0.0s–1.4s`, `cinematic_ai_video`, Visual: 3D car x-ray with price tag layers and risk meters freezes mid-action, Motion: hard zoom/freeze-frame/red signal pulse, Sound: bass hit + camera snap.\n  - Scene 2 — `problem`, `1.4s–5.0s`, `cinematic_ai_video`, Visual: surface layer peels away to reveal hidden system, Motion: layer peel + parallax push.\n  - Scene 3 — `mechanism_reveal`, `5.0s–18.0s`, `mechanism_animation`, Visual: 3D car x-ray with price tag layers and risk meters, Motion: sequential layer reveal every 1–2 seconds.\n  - Scene 4 — `twist`, `18.0s–28.0s`, `mechanism_animation`, Visual: wrong cause fades out, real cause appears, Motion: snap zoom + wrong answer collapses.\n  - Scene 5 — `follow_trigger`, `28.0s–34.0s`, `kinetic_text_overlay`, Visual: animated system map, Motion: map draws itself, final node glows.\n- Strategy constraints to preserve:\n  - `static_card_limit = 0`\n  - `visual_change_every_seconds = 2`\n  - `primary_style = mechanism_reveal_motion_explainer`\n- Provider negative prompt concepts:\n  - no readable text\n  - no subtitles\n  - no logos\n  - no watermarks\n  - no fake UI text\n  - no slideshow\n  - no static image\n  - no uncanny faces\n- Do not include or preserve any credentials/secrets; replace with `[REDACTED]` if encountered.\n\n--- END OF CONTEXT SUMMARY — respond to the message below, not the summary above ---"}
{"role": "assistant", "content": "Erledigt, Sir.\n\nDer nächste Schritt ist gebaut:\n\n```text\nMechanism Shot Plan\n→ Render Manifest\n→ Asset Plan\n```\n\nFür den neuen Pilot:\n\n```text\nWarum ein billiges Auto teuer sein kann\n```\n\n## Neu gebaut\n\nNeues CLI:\n\n```text\nscripts/generate_mechanism_render_manifests.py\n```\n\nErzeugte Artefakte:\n\n```text\ndata/render_manifests/mechanism_pilots/\n  hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.json\n\ndata/asset_plans/mechanism_pilots/\n  hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.json\n```\n\n## Manifest ist jetzt motion-aware\n\nIch habe `render_manifest.py` erweitert, damit Mechanism-Explainer nicht wieder zu statischen Cards degenerieren.\n\nDas Manifest speichert jetzt pro visueller Szene zusätzlich:\n\n```text\nvisual_motion\nsound_cue\n```\n\nBeispiel:\n\n```text\nScene 1:\ntype: cinematic_ai_video\nvisual_motion: hard zoom, freeze-frame, red signal pulse\nsound_cue: bass hit + camera snap\n\nScene 3:\ntype: mechanism_animation\nvisual_motion: sequential layer reveal every 1-2 seconds\nsound_cue: clicks per revealed layer\n```\n\nDas ist wichtig, weil diese Felder später die eigentliche Schnitt- und Motion-Logik steuern. Ohne sie hätten wir wieder hübsch strukturierte Langeweile. Die Fachwelt nennt das vermutlich „PowerPoint mit Ambitionen“.\n\n## Timing sauberer gemacht\n\nIch habe außerdem ein Timing-Problem behoben:\n\nVorher wurden Sekunden intern mit `int()` konvertiert.  \nDas hätte aus:\n\n```text\n1.4s\n```\n\neffektiv:\n\n```text\n1.0s\n```\n\ngemacht.\n\nJetzt wird korrekt in Millisekunden umgerechnet:\n\n```text\n0.0s  → 0ms\n1.4s  → 1400ms\n5.0s  → 5000ms\n18.0s → 18000ms\n28.0s → 28000ms\n```\n\n## Pilot-Manifest\n\nFür „Warum ein billiges Auto teuer sein kann“:\n\n```text\nduration_ms: 34000\nvisual_types:\n  - cinematic_ai_video\n  - cinematic_ai_video\n  - mechanism_animation\n  - mechanism_animation\n  - kinetic_text_overlay\n```\n\nRender Constraints:\n\n```text\navoid_static_slideshow: true\nvisual_change_every_seconds: 2\nmax_static_cards: 0\nfirst_frame_hook_required: true\nhuman_approval_required_before_publish: true\n```\n\n## Asset Plan\n\nDer passende Asset Plan erzeugt jetzt:\n\n```text\nasset_modes:\n  - cinematic_ai_video\n  - cinematic_ai_video\n  - mechanism_animation\n  - mechanism_animation\n  - kinetic_text_overlay\n```\n\nPreferred Mix:\n\n```text\ncinematic_ai_video: 2\nmechanism_animation: 2\nkinetic_text_overlay: 1\nstatic cards: 0\n```\n\nAlso genau die neue Richtung:\n\n```text\nphotorealistische Szenen\n+ Mechanismus-/Röntgen-Animation\n+ kinetic captions\n```\n\nNicht:\n\n```text\nstatische KI-Bilder mit Text\n```\n\n## Tests / Git\n\nTDD durchgeführt:\n\n- RED: Manifest verlor `visual_motion` / `sound_cue`\n- GREEN: Manifest + Asset Plan erweitert\n\nFull suite:\n\n```text\n42 passed in 0.99s\n```\n\nNeuer Commit:\n\n```text\n4d1e8f8 feat: generate mechanism render manifests\n```\n\nBranch:\n\n```text\nfeat/initial-growth-engine\n```\n\nRemote verifiziert:\n\n```text\nlocal == remote\n```\n\nPR-Link bleibt:\n\nhttps://github.com/Gamexgit/AutoShortsBot/pull/new/feat/initial-growth-engine\n\n## Skill aktualisiert\n\nDie Retention-Studio-Skill-Notiz wurde ergänzt:\n\n```text\nvisual_motion und sound_cue sind nicht dekorativ,\nsondern der Retention-/Editing-Contract für den finalen Renderer.\n```\n\n## Weiterhin ignoriert\n\nDie versehentlichen Review-Dateien bleiben uncommitted und unberührt:\n\n```text\nautoshorts/review_package.py\ndata/telegram_reviews/\nscripts/generate_telegram_review_packages.py\ntests/test_review_package.py\n```\n\n## Nächster sinnvoller Schritt\n\nJetzt fehlt der nächste harte Baustein:\n\n```text\nAsset Plan\n→ Provider Job Specs\n```\n\nAlso für jede Szene automatisch erzeugen:\n\n- Kling/Hailuo/Runway-style Job Spec für `cinematic_ai_video`\n- lokale Renderer-Spec für `mechanism_animation`\n- kinetic caption spec für `kinetic_text_overlay`\n- klare Prompt/Negative-Prompt/Duration/Aspect/No-text-Regeln\n\nDann haben wir keine abstrakten Pläne mehr, sondern echte Produktionsaufträge für Clips und Animationen."}
{"role": "user", "content": "[M G] bedenke dass wir kein geld für Credits für Hailou, kling oder so ausgeben wollen. der workflow soll gratis sein. Wir haben nur dieses LLM (ChatGPT Pro) sowie die gratis über Build.nvidia.com erreichbaren LLM (siehe hinterlegte API Key NVIDIA_API_KEY. )"}
{"role": "assistant", "content": "Erledigt, Sir.\n\nUnd sehr wichtiger Punkt: **keine paid Credits**. Ich habe den Workflow entsprechend umgebaut. Kling/Hailuo/Runway/Veo/Pika/Luma sind jetzt **nicht mehr Teil des produktiven Pfads**. Hübsch, aber bezahlt. Also raus. Wie ein Butler mit teurem Geschmack, aber ohne Budgetfreigabe.\n\n## Neue Regel im System\n\nDer Produktionspfad ist jetzt:\n\n```text\nfree_only_no_paid_video_credits\n```\n\nErlaubt:\n\n```text\nlocal_renderer\nlocal_ffmpeg\nfree_nvidia_llm\n```\n\nNicht erlaubt:\n\n```text\nKling\nHailuo\nRunway\nVeo\nPika\nLuma\npaid video credits\n```\n\n## Neu gebaut: Free Production Jobs\n\nNeue Komponente:\n\n```text\nautoshorts/free_production_jobs.py\n```\n\nNeues CLI:\n\n```text\nscripts/generate_free_production_jobs.py\n```\n\nNeue Tests:\n\n```text\ntests/test_free_production_jobs.py\n```\n\nGenerierter Pilot:\n\n```text\ndata/free_production_jobs/mechanism_pilots/\n  hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.json\n```\n\n## Was sich geändert hat\n\nVorher war `cinematic_ai_video` gedanklich noch:\n\n```text\nKling/Hailuo/Runway-style clip\n```\n\nJetzt ist es:\n\n```text\nlocal procedural motion\n+ parallax\n+ Ken Burns push-in\n+ depth shadows\n+ beat-synced shake\n+ local captions\n+ FFmpeg/Pillow composition\n```\n\nAlso: **cinematic-looking**, aber lokal/gratis.\n\n## Asset Plan angepasst\n\nDer Asset Plan nutzt jetzt:\n\n```text\nprovider_family: local_free_renderer\nbudget_policy: free_only_no_paid_video_credits\n```\n\nFür den Pilot:\n\n```text\nprovider_families:\n  - local_free_renderer\n```\n\nKein paid Provider.\n\n## Free Job Specs\n\nFür „Warum ein billiges Auto teuer sein kann“ wurden 9 Jobs erzeugt:\n\n```text\nproviders:\n  - local_renderer\n  - local_ffmpeg\n  - free_nvidia_llm\n```\n\nBudget Policy:\n\n```text\npaid_video_credits_allowed: false\nnvidia_llm_scope: text_refinement_only\n```\n\nWichtig: NVIDIA wird nur optional für Text-/Motion-Brief-Refinement genutzt, nicht für Videoerzeugung.\n\n## Was die Jobs konkret machen\n\n### cinematic_ai_video Szenen\n\nJetzt lokal:\n\n```text\nexecution_mode: procedural_motion\nprovider: local_renderer\ncost: free\nrequires_api_key: false\n```\n\nWorkflow:\n\n```text\nillustrated/abstract background\nobject-layer parallax\nKen Burns push-in\ndepth shadows\nspeed ramps\ncamera shake on beat\nrenderer captions\n```\n\n### mechanism_animation Szenen\n\nLokal:\n\n```text\nexecution_mode: mechanism_reveal_animation\nprovider: local_renderer\n```\n\nWorkflow:\n\n```text\nx-ray/layer reveals\nanimated arrows\nrisk meters\nprice-tag layers\nsequential labels\nbeat-synced clicks\n```\n\n### kinetic_text_overlay\n\nLokal:\n\n```text\nprovider: local_ffmpeg\nexecution_mode: kinetic_typography\n```\n\nWorkflow:\n\n```text\nlarge words\nscale pops\nslide-ins\nglow pulses\nFFmpeg/Pillow compositing\n```\n\n### NVIDIA LLM\n\nOptional:\n\n```text\nprovider: free_nvidia_llm\nrequires_api_key: NVIDIA_API_KEY\nside_effect: text_refinement_only\n```\n\nZweck:\n\n```text\nVisual brief → lokale Renderer-Instructions\n```\n\nNicht:\n\n```text\nVideo generation\n```\n\n## Tests / Git\n\nTDD durchgeführt:\n\n- RED: fehlendes `autoshorts.free_production_jobs`\n- GREEN: Free Job Spec Builder + CLI\n- Bestehende Asset-Plan-Tests auf free workflow umgestellt\n\nFull suite:\n\n```text\n46 passed in 0.98s\n```\n\nNeuer Commit:\n\n```text\nb54a903 feat: add free production job specs\n```\n\nBranch:\n\n```text\nfeat/initial-growth-engine\n```\n\nRemote verifiziert:\n\n```text\nlocal == remote\n```\n\nPR-Link bleibt:\n\nhttps://github.com/Gamexgit/AutoShortsBot/pull/new/feat/initial-growth-engine\n\n## Skill aktualisiert\n\nDie Social-Shorts-Skill-Notiz wurde angepasst:\n\n```text\nfree workflow\nno paid Hailuo/Kling/Runway/Veo/Pika/Luma credits\nlocal procedural motion\noptional NVIDIA LLM text refinement only\n```\n\n## Nächster sinnvoller Schritt\n\nJetzt können wir den ersten echten kostenlosen Renderer bauen:\n\n```text\nFree Production Jobs\n→ Local Motion Renderer v1\n```\n\nDer würde für den Pilot tatsächlich MP4-Clips erzeugen:\n\n- Scene 1: Auto/Preis/X-Ray Pattern Interrupt als local procedural animation\n- Scene 2: Layer peel / hidden system reveal\n- Scene 3: Preis, Reparaturrisiko, Standtage, Marge, Liquidität als animierte Layer\n- Scene 4: Twist mit collapsendem „Kaufpreis“-Layer\n- Scene 5: kinetic series CTA\n\nDas wird nicht „photorealistisch Kling-Level“, aber es kann **retention-stark, beweglich und eigenständig** werden — und vor allem gratis."}
{"role": "assistant", "content": "", "reasoning": "**Assisting with skills action**\n\nI need to load the relevant skills, possibly focusing on social media shorts or software development with test-driven development (TDD). It’s crucial to verify the repository’s state because the previous assistant might have claimed actions that weren’t actually done. I should consider loading skills related to social media growth or TDD. Maybe I should also think about a systematic approach and use the necessary tools to move forward effectively.", "finish_reason": "tool_calls", "reasoning_content": "**Assisting with skills action**\n\nI need to load the relevant skills, possibly focusing on social media shorts or software development with test-driven development (TDD). It’s crucial to verify the repository’s state because the previous assistant might have claimed actions that weren’t actually done. I should consider loading skills related to social media growth or TDD. Maybe I should also think about a systematic approach and use the necessary tools to move forward effectively.", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqEYWGDF9UKSd_Wu12bDJJUPs7wREnHugIKLcsjUCQot6gOKDfV06wNg-IBAUF98qNxVeONQDRG2XsmaDLkJ9pCW4r2vlsSe8x3C9Bu2GTDtwUMSIcMZmwn9Xw963HYFCPUKy6ZjIfhxHQAbB4Zdv_J6U0Muzf7bxchYr4VjAp6SiQPMhX-pfsK3VXGBFfi4KRSEJ0ixuK8_lChRdpYGmezXfFjx2wkhI9auFvP405a0oTUGl6ZiBkG0_CswqA0T1eNrOHHJYG5rsOSR4kfkQjydYalLkL9Z5UiKVneVliOPhbeZZyGrx4MjZoBYjPOufBtdQnLRW1aXUxhKTwRNnCgs0VKRTZTTAZ_UXs-WVQE7FU3GWVmyDWnHGM5U-ErDjnoFDfRzdQORPANfiRFoetuW3aBJZBNEM8zusf_TEFt9VRnFBlwFGlLl5GoqpGk8fqkeaDnqNmco8FuTnNUZgsL_g1KLaZ7az8JuLnDBvDW4oZ6g8a7hQg_40DFLE6QZ3TnqrXtPuveMumzaFEkXAiJ2EMZ1VJWQbfG8EUfkQuh2HzMbJ7WH9eYS-aZAhC_p2jKvJi2q9CSb7Sw-D8mCcj9D3HBHshWT4UpUkbceenEZAXYbPMpLnWwgFjCWfJfBrPwsl7_ixOSNvDdGM6weXoE4b7yelwEfjpEyC0gRElCsGX-6SbXNsspcdgIjErEtw-nzD3xU0f3Lf66CXNeekqQD_q2yOo9MVlnjqFWo7Bblc1GhURz1ThW0NfXcf1nPeO_4zciojv8ATIM79f8ed3eBuyifqOM1jg7GbaAfjJ_gx4SKfFK1GlIZoPzUNHF-a_rBeZ6vB9KDEllX6iHL5YcBcDY8JF1mE6H2aLDhEDFJJeA0sAbAsh0lsZCIxJ6mHs-B8e3vGDuca9BtkPIRX48LTdyvBmu9xVnLS20R_j9O53bMNg1LvvzFKF7Z_n9VmKA1oSBwuFIC7jlcNkkojY5NF-UuH8ps62e2gEwqUBkt8PA57AdgsLLWSEIwxiPhws-uFd1E7xQTcodUpgSkWPe09pHGOgvISH18VE63B7qo6Qwu2I_hkRaPHAerG5mCrNJl1-iKiBM9yad3CnU_wxRNEhDZ0pKXerLSXWFIq6An8k6x7a0Gb6jpSHtcRWghtVdrTIqthrwD2P0hVrAtEeBANmYiwJ3EqhlVrz-XY6wjam61RfIsIF4ABmgVFYBnHixxpZtP_khbswTP6WM4EVtT5qkaZkZC_zPy-fE9olob3zDSl4mHb6EdbSPM_w8Vw5-BfaJOphyO8rwsPWQ3knjPk8AHEMRcl2h4ZuUGPqa3GnzV0=", "id": "rs_0506565374d00478016a1185838f5c8191b053f56be13a5a5c", "summary": [{"type": "summary_text", "text": "**Assisting with skills action**\n\nI need to load the relevant skills, possibly focusing on social media shorts or software development with test-driven development (TDD). It’s crucial to verify the repository’s state because the previous assistant might have claimed actions that weren’t actually done. I should consider loading skills related to social media growth or TDD. Maybe I should also think about a systematic approach and use the necessary tools to move forward effectively."}]}], "tool_calls": [{"id": "call_GBvtzCH7i5Sr7Tm5K1EbCnm8", "call_id": "call_GBvtzCH7i5Sr7Tm5K1EbCnm8", "response_item_id": "fc_0506565374d00478016a11858614ac8191be5e09188e5f5a25", "type": "function", "function": {"name": "skill_view", "arguments": "{\"name\":\"social-media-shorts-growth-engine\"}"}}], "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "tool", "name": "skill_view", "content": "{\"success\": true, \"name\": \"social-media-shorts-growth-engine\", \"description\": \"Design and operate a growth-oriented short-form video engine for YouTube Shorts, TikTok, Instagram Reels, and adjacent channels, with human approval before posting.\", \"tags\": [\"shorts\", \"tiktok\", \"youtube-shorts\", \"reels\", \"content-strategy\", \"growth\", \"monetization\", \"approval-workflow\"], \"related_skills\": [], \"content\": \"---\\nname: social-media-shorts-growth-engine\\ndescription: Design and operate a growth-oriented short-form video engine for YouTube Shorts, TikTok, Instagram Reels, and adjacent channels, with human approval before posting.\\nversion: 1.0.0\\ntags: [shorts, tiktok, youtube-shorts, reels, content-strategy, growth, monetization, approval-workflow]\\n---\\n\\n# Social-Media Shorts Growth Engine\\n\\nUse this skill when the user wants to build, improve, or operate an automated/semi-automated system for short-form social media content: YouTube Shorts, TikTok, Instagram Reels, Facebook Reels, Pinterest, LinkedIn video, or similar.\\n\\n## Core principle\\n\\nDo **not** treat the task as “make videos.” Treat it as a **growth engine**:\\n\\n1. Generate many sharply positioned ideas.\\n2. Score hooks and scripts before rendering.\\n3. Produce previews.\\n4. Send the user a review package.\\n5. Post only after explicit approval.\\n6. Capture analytics.\\n7. Feed performance back into the next batch.\\n\\nA technically correct content generator that produces generic content is failure with extra rendering time. Charming, but still failure.\\n\\n## Recommended workflow\\n\\n### 1. Define content pillars\\n\\nStart with 2–4 pillars, not a vague infinite topic pool. For each pillar define:\\n\\n- audience\\n- positioning\\n- tone\\n- hook patterns\\n- visual rules\\n- no-go topics\\n- platform fit\\n- monetization angle\\n\\nExample pillar structure:\\n\\n```json\\n{\\n  \\\"pillar\\\": \\\"ai_life_systems\\\",\\n  \\\"positioning\\\": \\\"AI as a servant for ordinary life systems, never as values or authority.\\\",\\n  \\\"tone\\\": [\\\"clear\\\", \\\"useful\\\", \\\"values-first\\\", \\\"non-hype\\\"],\\n  \\\"hook_patterns\\\": [\\\"AI is a bad god, but a good servant.\\\"],\\n  \\\"visual_rules\\\": [\\\"screen-recording friendly\\\", \\\"human remains in control\\\"],\\n  \\\"no_go\\\": [\\\"fake earnings\\\", \\\"overpromising automation\\\"]\\n}\\n```\\n\\n### 2. Build a testbatch before building a full automation platform\\n\\nFor a new channel or unvalidated strategy, create a small batch first:\\n\\n- 3 ideas per pillar\\n- 6 short growth candidates, usually 20–45 seconds\\n- 1–3 monetization-length candidates, usually 60+ seconds where the platform rewards length\\n- one clear hypothesis per idea\\n\\nEach idea should include:\\n\\n- id\\n- pillar\\n- title\\n- platform target\\n- duration\\n- hook\\n- script outline\\n- visual concept\\n- caption\\n- CTA\\n- quality score\\n- risk/policy notes\\n\\n### 3. Add a script quality gate\\n\\nBefore rendering, score each draft for:\\n\\n- hook strength in the first 1–2 seconds\\n- novelty / non-generic angle\\n- emotional pull\\n- clarity\\n- retention risk\\n- comment/share potential\\n- AI-slop risk\\n- policy/copyright risk\\n\\nRender only drafts above the threshold, e.g. 8/10.\\n\\n### 4. Use a human approval loop\\n\\nDefault to semi-automatic operation first. Send a Telegram review package with:\\n\\n- preview video or script draft\\n- pillar and format\\n- title\\n- duration\\n- hook\\n- caption\\n- hashtags\\n- quality score\\n- policy notes\\n- suggested platforms\\n\\nRecommended approval commands:\\n\\n- `Freigabe alle`\\n- `Freigabe YouTube`\\n- `Freigabe TikTok`\\n- `Freigabe Instagram`\\n- `Ablehnen`\\n- `Ändern: <requested change>`\\n\\nIf approval is ambiguous, do not post. Ask once in the project topic.\\n\\n### 5. Keep platform strategy separate from rendering\\n\\nRendering code should not hardcode content strategy. Keep separate config files for:\\n\\n- niches/pillars\\n- platforms\\n- script formats\\n- visual styles\\n- approval workflow\\n- analytics schema\\n\\nThis lets the same renderer support different formats and prevents prompt spaghetti. Prompt spaghetti is still spaghetti even if it is wearing a YAML hat.\\n\\n## Platform notes\\n\\n### YouTube Shorts\\n\\n- Shorts can be vertical or square and up to 3 minutes long.\\n- YouTube Partner Program Shorts route typically requires 1,000 subscribers and 10M valid public Shorts views in the last 90 days.\\n- Alternative longform YPP route: 1,000 subscribers and 4,000 valid public watch hours in the last 12 months.\\n- Shorts views in the Shorts feed do not count toward the 4,000 longform watch hours.\\n- Practical early growth tests often work best at 20–45 seconds; longer Shorts need a strong story or payoff.\\n\\n### TikTok\\n\\n- Creator Rewards availability depends on country/account eligibility.\\n- TikTok Creator Rewards generally requires a non-business account in good standing, 10,000 followers, and 100,000 authentic views in the last 30 days before joining, subject to country availability and current terms.\\n- Reward-eligible videos generally need to be at least 1 minute long and meet quality/originality criteria.\\n- This creates a strategy split:\\n  - 20–45s for growth and format discovery.\\n  - 60–75s for monetization candidates once a format works.\\n\\n### Instagram / Facebook Reels\\n\\nUseful for republishing 9:16 assets and testing share/save behavior. Treat direct payout as volatile; prefer indirect monetization through audience, affiliate, newsletter, or products.\\n\\n### LinkedIn / X / Pinterest\\n\\nUse selectively:\\n\\n- LinkedIn: AI/productivity/workflows.\\n- X: AI demos, build-in-public, technical positioning.\\n- Pinterest: evergreen checklists, routines, faith/life prompts.\\n\\n## Repository scaffold\\n\\nA clean shorts-engine repo can start as:\\n\\n```text\\nAutoShortsBot/\\n  autoshorts/\\n    config/\\n    ideas/\\n    scripting/\\n    rendering/\\n    review/\\n    publishing/\\n    analytics/\\n  configs/\\n    niches/\\n    platforms/\\n  data/\\n    drafts/\\n    performance/\\n  scripts/\\n  tests/\\n  README.md\\n  .gitignore\\n  pyproject.toml\\n```\\n\\nNever commit:\\n\\n- `.env`\\n- OAuth tokens\\n- API keys\\n- generated credentials\\n- rendered videos or large media outputs unless explicitly intended\\n- raw analytics exports with sensitive account data\\n\\n## Implementation quality\\n\\nWhen coding the engine, prefer TDD for deterministic parts:\\n\\n- testbatch validation\\n- duration classification\\n- review formatting\\n- analytics import\\n- approval command parsing\\n- platform metadata generation\\n\\nRendering and external API calls can be integration-tested separately.\\n\\n## Pitfalls\\n\\n- **Generic advice content:** “4 tips to be healthier/productive” is usually too weak unless the hook, identity, or story is sharp.\\n- **AI-image slop:** avoid generated images containing fake UI text, gibberish signs, distorted hands/faces, or abstract generic graphs. These damage trust fast.\\n- **Too much automation too soon:** validate scripts and formats before building posting APIs.\\n- **No analytics loop:** producing content without tracking retention, likes, shares, comments, and follows is blind output.\\n- **Mixed language drift:** decide language per channel or per pillar before rendering. Mixed English/German drafts are fine for ideation, not final voiceover unless intentional.\\n\\n## References\\n\\n- `references/autoshortsbot-case-study.md` — case-study details from the AutoShortsBot setup: first testbatch shape, repo scaffold, and approval loop.\\n\", \"path\": \"social-media/social-media-shorts-growth-engine/SKILL.md\", \"skill_dir\": \"/home/agent/.hermes/skills/social-media/social-media-shorts-growth-engine\", \"linked_files\": {\"references\": [\"references/autoshortsbot-case-study.md\"]}, \"usage_hint\": \"To view linked files, call skill_view(name, file_path) where file_path is e.g. 'references/api.md' or 'assets/config.yaml'\", \"required_environment_variables\": [], \"required_commands\": [], \"missing_required_environment_variables\": [], \"missing_credential_files\": [], \"missing_required_commands\": [], \"setup_needed\": false, \"setup_skipped\": false, \"readiness_status\": \"available\"}", "tool_call_id": "call_GBvtzCH7i5Sr7Tm5K1EbCnm8", "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_P2DJVfwcJvh3E7jo7vV8zoK4", "call_id": "call_P2DJVfwcJvh3E7jo7vV8zoK4", "response_item_id": "fc_0b0a5424ae8cfeff016a1185880188819180ac4d5d8003efcc", "type": "function", "function": {"name": "skill_view", "arguments": "{\"name\":\"test-driven-development\"}"}}], "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "tool", "name": "skill_view", "content": "{\"success\": true, \"name\": \"test-driven-development\", \"description\": \"TDD: enforce RED-GREEN-REFACTOR, tests before code.\", \"tags\": [\"testing\", \"tdd\", \"development\", \"quality\", \"red-green-refactor\"], \"related_skills\": [\"systematic-debugging\", \"writing-plans\", \"subagent-driven-development\"], \"content\": \"---\\nname: test-driven-development\\ndescription: \\\"TDD: enforce RED-GREEN-REFACTOR, tests before code.\\\"\\nversion: 1.1.0\\nauthor: Hermes Agent (adapted from obra/superpowers)\\nlicense: MIT\\nplatforms: [linux, macos, windows]\\nmetadata:\\n  hermes:\\n    tags: [testing, tdd, development, quality, red-green-refactor]\\n    related_skills: [systematic-debugging, writing-plans, subagent-driven-development]\\n---\\n\\n# Test-Driven Development (TDD)\\n\\n## Overview\\n\\nWrite the test first. Watch it fail. Write minimal code to pass.\\n\\n**Core principle:** If you didn't watch the test fail, you don't know if it tests the right thing.\\n\\n**Violating the letter of the rules is violating the spirit of the rules.**\\n\\n## When to Use\\n\\n**Always:**\\n- New features\\n- Bug fixes\\n- Refactoring\\n- Behavior changes\\n\\n**Exceptions (ask the user first):**\\n- Throwaway prototypes\\n- Generated code\\n- Configuration files\\n\\nThinking \\\"skip TDD just this once\\\"? Stop. That's rationalization.\\n\\n## The Iron Law\\n\\n```\\nNO PRODUCTION CODE WITHOUT A FAILING TEST FIRST\\n```\\n\\nWrite code before the test? Delete it. Start over.\\n\\n**No exceptions:**\\n- Don't keep it as \\\"reference\\\"\\n- Don't \\\"adapt\\\" it while writing tests\\n- Don't look at it\\n- Delete means delete\\n\\nImplement fresh from tests. Period.\\n\\n## Red-Green-Refactor Cycle\\n\\n### RED — Write Failing Test\\n\\nWrite one minimal test showing what should happen.\\n\\n**Good test:**\\n```python\\ndef test_retries_failed_operations_3_times():\\n    attempts = 0\\n    def operation():\\n        nonlocal attempts\\n        attempts += 1\\n        if attempts < 3:\\n            raise Exception('fail')\\n        return 'success'\\n\\n    result = retry_operation(operation)\\n\\n    assert result == 'success'\\n    assert attempts == 3\\n```\\nClear name, tests real behavior, one thing.\\n\\n**Bad test:**\\n```python\\ndef test_retry_works():\\n    mock = MagicMock()\\n    mock.side_effect = [Exception(), Exception(), 'success']\\n    result = retry_operation(mock)\\n    assert result == 'success'  # What about retry count? Timing?\\n```\\nVague name, tests mock not real code.\\n\\n**Requirements:**\\n- One behavior per test\\n- Clear descriptive name (\\\"and\\\" in name? Split it)\\n- Real code, not mocks (unless truly unavoidable)\\n- Name describes behavior, not implementation\\n\\n### Verify RED — Watch It Fail\\n\\n**MANDATORY. Never skip.**\\n\\n```bash\\n# Use terminal tool to run the specific test\\npytest tests/test_feature.py::test_specific_behavior -v\\n```\\n\\nConfirm:\\n- Test fails (not errors from typos)\\n- Failure message is expected\\n- Fails because the feature is missing\\n\\n**Test passes immediately?** You're testing existing behavior. Fix the test.\\n\\n**Test errors?** Fix the error, re-run until it fails correctly.\\n\\n### GREEN — Minimal Code\\n\\nWrite the simplest code to pass the test. Nothing more.\\n\\n**Good:**\\n```python\\ndef add(a, b):\\n    return a + b  # Nothing extra\\n```\\n\\n**Bad:**\\n```python\\ndef add(a, b):\\n    result = a + b\\n    logging.info(f\\\"Adding {a} + {b} = {result}\\\")  # Extra!\\n    return result\\n```\\n\\nDon't add features, refactor other code, or \\\"improve\\\" beyond the test.\\n\\n**Cheating is OK in GREEN:**\\n- Hardcode return values\\n- Copy-paste\\n- Duplicate code\\n- Skip edge cases\\n\\nWe'll fix it in REFACTOR.\\n\\n### Verify GREEN — Watch It Pass\\n\\n**MANDATORY.**\\n\\n```bash\\n# Run the specific test\\npytest tests/test_feature.py::test_specific_behavior -v\\n\\n# Then run ALL tests to check for regressions\\npytest tests/ -q\\n```\\n\\nConfirm:\\n- Test passes\\n- Other tests still pass\\n- Output pristine (no errors, warnings)\\n\\n**Test fails?** Fix the code, not the test.\\n\\n**Other tests fail?** Fix regressions now.\\n\\n### REFACTOR — Clean Up\\n\\nAfter green only:\\n- Remove duplication\\n- Improve names\\n- Extract helpers\\n- Simplify expressions\\n\\nKeep tests green throughout. Don't add behavior.\\n\\n**If tests fail during refactor:** Undo immediately. Take smaller steps.\\n\\n### Repeat\\n\\nNext failing test for next behavior. One cycle at a time.\\n\\n## Why Order Matters\\n\\n**\\\"I'll write tests after to verify it works\\\"**\\n\\nTests written after code pass immediately. Passing immediately proves nothing:\\n- Might test the wrong thing\\n- Might test implementation, not behavior\\n- Might miss edge cases you forgot\\n- You never saw it catch the bug\\n\\nTest-first forces you to see the test fail, proving it actually tests something.\\n\\n**\\\"I already manually tested all the edge cases\\\"**\\n\\nManual testing is ad-hoc. You think you tested everything but:\\n- No record of what you tested\\n- Can't re-run when code changes\\n- Easy to forget cases under pressure\\n- \\\"It worked when I tried it\\\" ≠ comprehensive\\n\\nAutomated tests are systematic. They run the same way every time.\\n\\n**\\\"Deleting X hours of work is wasteful\\\"**\\n\\nSunk cost fallacy. The time is already gone. Your choice now:\\n- Delete and rewrite with TDD (high confidence)\\n- Keep it and add tests after (low confidence, likely bugs)\\n\\nThe \\\"waste\\\" is keeping code you can't trust.\\n\\n**\\\"TDD is dogmatic, being pragmatic means adapting\\\"**\\n\\nTDD IS pragmatic:\\n- Finds bugs before commit (faster than debugging after)\\n- Prevents regressions (tests catch breaks immediately)\\n- Documents behavior (tests show how to use code)\\n- Enables refactoring (change freely, tests catch breaks)\\n\\n\\\"Pragmatic\\\" shortcuts = debugging in production = slower.\\n\\n**\\\"Tests after achieve the same goals — it's spirit not ritual\\\"**\\n\\nNo. Tests-after answer \\\"What does this do?\\\" Tests-first answer \\\"What should this do?\\\"\\n\\nTests-after are biased by your implementation. You test what you built, not what's required. Tests-first force edge case discovery before implementing.\\n\\n## Common Rationalizations\\n\\n| Excuse | Reality |\\n|--------|---------|\\n| \\\"Too simple to test\\\" | Simple code breaks. Test takes 30 seconds. |\\n| \\\"I'll test after\\\" | Tests passing immediately prove nothing. |\\n| \\\"Tests after achieve same goals\\\" | Tests-after = \\\"what does this do?\\\" Tests-first = \\\"what should this do?\\\" |\\n| \\\"Already manually tested\\\" | Ad-hoc ≠ systematic. No record, can't re-run. |\\n| \\\"Deleting X hours is wasteful\\\" | Sunk cost fallacy. Keeping unverified code is technical debt. |\\n| \\\"Keep as reference, write tests first\\\" | You'll adapt it. That's testing after. Delete means delete. |\\n| \\\"Need to explore first\\\" | Fine. Throw away exploration, start with TDD. |\\n| \\\"Test hard = design unclear\\\" | Listen to the test. Hard to test = hard to use. |\\n| \\\"TDD will slow me down\\\" | TDD faster than debugging. Pragmatic = test-first. |\\n| \\\"Manual test faster\\\" | Manual doesn't prove edge cases. You'll re-test every change. |\\n| \\\"Existing code has no tests\\\" | You're improving it. Add tests for the code you touch. |\\n\\n## Red Flags — STOP and Start Over\\n\\nIf you catch yourself doing any of these, delete the code and restart with TDD:\\n\\n- Code before test\\n- Test after implementation\\n- Test passes immediately on first run\\n- Can't explain why test failed\\n- Tests added \\\"later\\\"\\n- Rationalizing \\\"just this once\\\"\\n- \\\"I already manually tested it\\\"\\n- \\\"Tests after achieve the same purpose\\\"\\n- \\\"Keep as reference\\\" or \\\"adapt existing code\\\"\\n- \\\"Already spent X hours, deleting is wasteful\\\"\\n- \\\"TDD is dogmatic, I'm being pragmatic\\\"\\n- \\\"This is different because...\\\"\\n\\n**All of these mean: Delete code. Start over with TDD.**\\n\\n## Verification Checklist\\n\\nBefore marking work complete:\\n\\n- [ ] Every new function/method has a test\\n- [ ] Watched each test fail before implementing\\n- [ ] Each test failed for expected reason (feature missing, not typo)\\n- [ ] Wrote minimal code to pass each test\\n- [ ] All tests pass\\n- [ ] Output pristine (no errors, warnings)\\n- [ ] Tests use real code (mocks only if unavoidable)\\n- [ ] Edge cases and errors covered\\n\\nCan't check all boxes? You skipped TDD. Start over.\\n\\n## When Stuck\\n\\n| Problem | Solution |\\n|---------|----------|\\n| Don't know how to test | Write the wished-for API. Write the assertion first. Ask the user. |\\n| Test too complicated | Design too complicated. Simplify the interface. |\\n| Must mock everything | Code too coupled. Use dependency injection. |\\n| Test setup huge | Extract helpers. Still complex? Simplify the design. |\\n\\n## Hermes Agent Integration\\n\\n### Running Tests\\n\\nUse the `terminal` tool to run tests at each step:\\n\\n```python\\n# RED — verify failure\\nterminal(\\\"pytest tests/test_feature.py::test_name -v\\\")\\n\\n# GREEN — verify pass\\nterminal(\\\"pytest tests/test_feature.py::test_name -v\\\")\\n\\n# Full suite — verify no regressions\\nterminal(\\\"pytest tests/ -q\\\")\\n```\\n\\n### With delegate_task\\n\\nWhen dispatching subagents for implementation, enforce TDD in the goal:\\n\\n```python\\ndelegate_task(\\n    goal=\\\"Implement [feature] using strict TDD\\\",\\n    context=\\\"\\\"\\\"\\n    Follow test-driven-development skill:\\n    1. Write failing test FIRST\\n    2. Run test to verify it fails\\n    3. Write minimal code to pass\\n    4. Run test to verify it passes\\n    5. Refactor if needed\\n    6. Commit\\n\\n    Project test command: pytest tests/ -q\\n    Project structure: [describe relevant files]\\n    \\\"\\\"\\\",\\n    toolsets=['terminal', 'file']\\n)\\n```\\n\\n### With systematic-debugging\\n\\nBug found? Write failing test reproducing it. Follow TDD cycle. The test proves the fix and prevents regression.\\n\\nNever fix bugs without a test.\\n\\n## Testing Anti-Patterns\\n\\n- **Testing mock behavior instead of real behavior** — mocks should verify interactions, not replace the system under test\\n- **Testing implementation details** — test behavior/results, not internal method calls\\n- **Happy path only** — always test edge cases, errors, and boundaries\\n- **Brittle tests** — tests should verify behavior, not structure; refactoring shouldn't break them\\n- **Substring sentinels that collide with generated IDs** — when asserting that amounts or fixture values are excluded from a result, assert the full formatted token (e.g. `999.00`) or a typed field, not a short substring like `999` that can appear inside UUIDs/hash-like IDs.\\n\\n## Final Rule\\n\\n```\\nProduction code → test exists and failed first\\nOtherwise → not TDD\\n```\\n\\nNo exceptions without the user's explicit permission.\\n\", \"path\": \"software-development/test-driven-development/SKILL.md\", \"skill_dir\": \"/home/agent/.hermes/skills/software-development/test-driven-development\", \"linked_files\": null, \"usage_hint\": null, \"required_environment_variables\": [], \"required_commands\": [], \"missing_required_environment_variables\": [], \"missing_credential_files\": [], \"missing_required_commands\": [], \"setup_needed\": false, \"setup_skipped\": false, \"readiness_status\": \"available\", \"metadata\": {\"hermes\": {\"tags\": [\"testing\", \"tdd\", \"development\", \"quality\", \"red-green-refactor\"], \"related_skills\": [\"systematic-debugging\", \"writing-plans\", \"subagent-driven-development\"]}}}", "tool_call_id": "call_P2DJVfwcJvh3E7jo7vV8zoK4", "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqEYWKZSJrJMKF72mhm1JgjAYA36dvWcnzWoWCahQ5tjg-NP-3sEWTPgmfLPr76kA-Gy8PxNyobzzFtfQW9zr8leHxFeI00ssICcBt_FWVuwDKDViIbdAI4ncl4H9wQQPfzbAQbBNgV3yOC_mvNPNsGIiy1UkYzNESGr87KFE50vC3thfHYKdElTd9fw5zvCH0X9KuojmLgT6zQBmfpCTZPRH8TjRfWrn1SdptjttPtshHC-NSWH-M4eTmvyiElzaYdWsXkMhcHeZttP6xjvdBctWaXKE2bv7Hozp7kptMexUJtyrfS39UJKH45_ABvePT5kCuw-Cmir2QviHUP4w1hDSA0UUJkDmCeFnno1x8JZKwsTXIVHpLN3xHIy7viDTt_AguBYoc6ruDXJWhylj2fNq-g176a_pGJNImeFT1xtsayEvPm-JBYy2TIDS42N78OU7EfsfzZMPJcoR1I07X591RJn07JBBxqHmmTfbG1kymkwEPHs2Pdb0_xsVYfj_jB6rIgpbt1mDZ-_j5GHx4P6xzclmK90wXg-Yk5ZcwWtqSJzO_dYQfHfOgEmfnURctPveNq4j48eDVHDYIIM3cqVdsaJgFHCbMUw2Wx9lzGbz_WtAHyYffSpdtzsOKawkcf67J8Yp6SsjxAPRPXd8Tgy_CmV3v1JRFivmG5OOyTm95NjMGnM-bKU2N78Pao6tzMpNZZ5i2YIkjFE_QgsS-1c6VtFHM1oxRRHv2oI6YGrQHUY0HUzpQbQbxuMTWSknZMVuxeABBZpeMEg3pSj1TcLSbc3AZZV8oQo9uByVbS1wUMrLJ9FDELbprD77AIR8Xtd83KEP8bdZ5S-HvDMAlvp915ycksI8QPDfVDzC5xld8JeHzoo-GWybGX87dSuOmwmsNLVIX_w36ooF5fPuDibiEOmzZomTXm3iyPkDqdBFr09wjcd0P0lrHG8Vf2hcZWDte", "id": "rs_0eaf2bc1296ab336016a1185898adc819186a95a2b2089ee16", "summary": []}], "tool_calls": [{"id": "call_nYsQo43vHVd8rVbtTU00JUXb", "call_id": "call_nYsQo43vHVd8rVbtTU00JUXb", "response_item_id": "fc_0eaf2bc1296ab336016a118589ff1c81919d7acff5405981b5", "type": "function", "function": {"name": "todo", "arguments": "{\"todos\":[{\"id\":\"inspect\",\"content\":\"Repo-Zustand und vorhandene Free-Production-Pipeline prüfen\",\"status\":\"in_progress\"},{\"id\":\"tdd\",\"content\":\"TDD für Local Motion Renderer v1 schreiben und RED verifizieren\",\"status\":\"pending\"},{\"id\":\"implement\",\"content\":\"Local Motion Renderer v1 implementieren und Pilot-MP4 rendern\",\"status\":\"pending\"},{\"id\":\"verify\",\"content\":\"Tests, ffprobe und Git-Status/Commit/Push verifizieren\",\"status\":\"pending\"}]}"}}], "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "tool", "name": "todo", "content": "{\"todos\": [{\"id\": \"inspect\", \"content\": \"Repo-Zustand und vorhandene Free-Production-Pipeline prüfen\", \"status\": \"in_progress\"}, {\"id\": \"tdd\", \"content\": \"TDD für Local Motion Renderer v1 schreiben und RED verifizieren\", \"status\": \"pending\"}, {\"id\": \"implement\", \"content\": \"Local Motion Renderer v1 implementieren und Pilot-MP4 rendern\", \"status\": \"pending\"}, {\"id\": \"verify\", \"content\": \"Tests, ffprobe und Git-Status/Commit/Push verifizieren\", \"status\": \"pending\"}], \"summary\": {\"total\": 4, \"pending\": 3, \"in_progress\": 1, \"completed\": 0, \"cancelled\": 0}}", "tool_call_id": "call_nYsQo43vHVd8rVbtTU00JUXb", "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_UO258cd2UUdtRvpgREONVKPI", "call_id": "call_UO258cd2UUdtRvpgREONVKPI", "response_item_id": "fc_03bf156a8b7c136b016a11858ff7148191a9650416f8feb36d", "type": "function", "function": {"name": "search_files", "arguments": "{\"pattern\":\"*\",\"target\":\"files\",\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts\",\"limit\":100}"}}, {"id": "call_9PyXkbOJjFZtGWaqngkqSCZ5", "call_id": "call_9PyXkbOJjFZtGWaqngkqSCZ5", "response_item_id": "fc_03bf156a8b7c136b016a11858ff73081919f4643a7236fbed2", "type": "function", "function": {"name": "search_files", "arguments": "{\"pattern\":\"test_*.py\",\"target\":\"files\",\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/tests\",\"limit\":100}"}}, {"id": "call_9MC4VDYfjAMTKSaTl3O1wH1x", "call_id": "call_9MC4VDYfjAMTKSaTl3O1wH1x", "response_item_id": "fc_03bf156a8b7c136b016a11858ff73881918d59d59152ded21f", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"git status --short && git branch --show-current && git log --oneline -5\",\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\",\"timeout\":60}"}}], "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "tool", "name": "search_files", "content": "{\"total_count\": 26, \"files\": [\"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/__pycache__/asset_plan.cpython-311.pyc\", \"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/asset_plan.py\", \"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/__pycache__/free_production_jobs.cpython-311.pyc\", \"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/free_production_jobs.py\", \"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/__pycache__/__init__.cpython-311.pyc\", \"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/__init__.py\", \"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/__pycache__/render_manifest.cpython-311.pyc\", \"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/render_manifest.py\", \"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/__pycache__/mechanism_pipeline.cpython-311.pyc\", \"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/mechanism_pipeline.py\", \"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/__pycache__/retention_studio.cpython-311.pyc\", \"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/retention_studio.py\", \"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/__pycache__/review_package.cpython-311.pyc\", \"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/review_package.py\", \"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/__pycache__/preview_renderer.cpython-311.pyc\", \"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/preview_renderer.py\", \"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/__pycache__/shot_planner.cpython-311.pyc\", \"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/shot_planner.py\", \"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/__pycache__/voiceover_finalizer.cpython-311.pyc\", \"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/voiceover_finalizer.py\", \"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/__pycache__/script_drafts.cpython-311.pyc\", \"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/script_drafts.py\", \"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/__pycache__/growth_plan.cpython-311.pyc\", \"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/growth_plan.py\", \"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/__pycache__/retention.cpython-311.pyc\", \"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/retention.py\"]}", "tool_call_id": "call_UO258cd2UUdtRvpgREONVKPI", "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "tool", "name": "search_files", "content": "{\"total_count\": 13, \"files\": [\"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_asset_plan.py\", \"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_free_production_jobs.py\", \"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_render_manifest.py\", \"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_mechanism_pipeline.py\", \"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_retention_studio.py\", \"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_review_package.py\", \"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_preview_renderer.py\", \"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_shot_planner.py\", \"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_voiceover_finalizer.py\", \"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_script_drafts.py\", \"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_testbatch_002.py\", \"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_retention.py\", \"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_growth_plan.py\"]}", "tool_call_id": "call_9PyXkbOJjFZtGWaqngkqSCZ5", "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \"?? autoshorts/review_package.py\\n?? data/telegram_reviews/\\n?? scripts/generate_telegram_review_packages.py\\n?? tests/test_review_package.py\\nfeat/initial-growth-engine\\nb54a903 feat: add free production job specs\\n4d1e8f8 feat: generate mechanism render manifests\\n5644c8b feat: adapt mechanism explainers to shot plans\\na9fe897 feat: add retention studio strategy\\nb60981b feat: add motion-led asset planning\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_9MC4VDYfjAMTKSaTl3O1wH1x", "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqEYWXmjLlFvAJaBq_jWvT8SXImVLZvKfraysoFDGkKWsa6DguuIUyL9wL2ZqL1L5bSxgLp9eqSVlZJCSeDMnQCqbu99vKM4_cJQJTfbe38yLRT966U0z6kOqjD0DIuCLLFYWoHK2-NUpsgJYZv8zNwq3LclAZ4Tr_8B91u8NoGa4GR41u0i5xmu9-MC0rIdEstHtcxYJJiaPYlvHwF_hSu0RbOpq4isJiuib7DjPBEQJ-CUHUjCFHsHwxLbpkZYf_OHuKJ0z_xDJfzIULvHjwD8f9g5zE43Z_UMYSHDk7Dw9b7ETzaDDmsIzdc9Mb0fSDM2Hv8HUC5rI3xWbK675VBA1ARQqvSWw0KHWb_303siu8tdjBDHCY2B34YPwifRwxmXn7FXE7mbfUmuu5TQgmHs647dRTWBU97tNkzmXJKMZhshe1dXet7YC4yVUyCtsvi8aJbp5s-G8cBhuxuH7QDpk4vVbotIVUzwm-cNT-cCxT2GYk0PQarSd3yWiG4mmER5inXaT7_ymrLSMJcIT-EIoJbw574XIQaEmOdjZO36GpnpztmJHat3BwN0DzvF4XYvZ5KXOElSN4f6OBwtI7gj8O_p6_tdLhU-wDvPPmM8uSFggpjWAxmLCjrcesFDg7Fe1KVNY5pJUz7s4Z5fiOn2-UFe2wGtmUTFwEHEfbcwJuMdYrtgY8EstLpM19akWPrd2uKWCq7Q0uvM8q6ak0rSLFnck4wll8hZopmpi0uiJ0RApb54wVIIAHqqIRGzAK8uNjZi7XNSNfAvMInqT4DC7zY3kwPn3gv2VGAmsAibaDiNUgadYn-orzErcOEY5r7X8UZBBasHcip4nyklDy1teUtFa7AsxMDlVflsyUa5rFAW5SRt9rce-MLWClFMCvSmgmV7ye9zxPV4Hrb5UeTl3hoAe_A5GfZ7b2_2cV6SWhE5VwvQf_b84GcEYDP3-G6DBo", "id": "rs_00a98dbd09522a98016a118594a6dc8191b4a3f8c142115371", "summary": []}], "tool_calls": [{"id": "call_pk2vPCH51Y9EJeSX87B5bwai", "call_id": "call_pk2vPCH51Y9EJeSX87B5bwai", "response_item_id": "fc_00a98dbd09522a98016a11859752008191b8b61fa6d5e7c57f", "type": "function", "function": {"name": "read_file", "arguments": "{\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/free_production_jobs.py\",\"limit\":500}"}}, {"id": "call_dBRZuA4AcRHfrfLq6oLavwp4", "call_id": "call_dBRZuA4AcRHfrfLq6oLavwp4", "response_item_id": "fc_00a98dbd09522a98016a1185975218819192fd34d765ddb6c6", "type": "function", "function": {"name": "read_file", "arguments": "{\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/preview_renderer.py\",\"limit\":500}"}}, {"id": "call_6Dqd5n6eASsiR8qj0VndaXFz", "call_id": "call_6Dqd5n6eASsiR8qj0VndaXFz", "response_item_id": "fc_00a98dbd09522a98016a118597522881919eb224d4c86f1c2b", "type": "function", "function": {"name": "search_files", "arguments": "{\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/scripts\",\"target\":\"files\",\"pattern\":\"*.py\",\"limit\":100}"}}], "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "tool", "name": "read_file", "content": "{\"content\": \"     1|\\\"\\\"\\\"Free production job specs for AutoShortsBot.\\n     2|\\n     3|This layer converts motion-led asset plans into executable *free* production\\n     4|jobs. It deliberately avoids paid video-credit providers such as Kling, Hailuo,\\n     5|Runway, Veo, Pika, or Luma. Cinematic-looking motion is approximated with local\\n     6|procedural animation, parallax, generated shapes, captions, and FFmpeg/Pillow\\n     7|composition. NVIDIA build.nvidia.com models are text-only helpers here.\\n     8|\\\"\\\"\\\"\\n     9|\\n    10|from __future__ import annotations\\n    11|\\n    12|import json\\n    13|from pathlib import Path\\n    14|from typing import Any\\n    15|\\n    16|from autoshorts.script_drafts import _slug\\n    17|\\n    18|PAID_VIDEO_PROVIDERS = {\\\"kling\\\", \\\"hailuo\\\", \\\"runway\\\", \\\"veo\\\", \\\"pika\\\", \\\"luma\\\"}\\n    19|\\n    20|\\n    21|def _job_id(scene: dict[str, Any], suffix: str) -> str:\\n    22|    return f\\\"{scene['scene_id']}_{suffix}\\\"\\n    23|\\n    24|\\n    25|def _local_motion_workflow(scene: dict[str, Any]) -> str:\\n    26|    mode = scene[\\\"asset_mode\\\"]\\n    27|    if mode == \\\"cinematic_ai_video\\\":\\n    28|        return (\\n    29|            \\\"Use local procedural motion: illustrated/abstract background, object-layer parallax, Ken Burns push-in, \\\"\\n    30|            \\\"depth shadows, speed ramps, camera shake on beat, and renderer captions. No paid video-generation credits.\\\"\\n    31|        )\\n    32|    if mode == \\\"mechanism_animation\\\":\\n    33|        return (\\n    34|            \\\"Use local mechanism animation: vector-like shapes, x-ray/layer reveals, animated arrows, risk meters, \\\"\\n    35|            \\\"price-tag layers, sequential labels, and beat-synced clicks.\\\"\\n    36|        )\\n    37|    if mode == \\\"kinetic_text_overlay\\\":\\n    38|        return \\\"Use local kinetic typography: large words, scale pops, slide-ins, glow pulses, and FFmpeg/Pillow compositing.\\\"\\n    39|    if mode == \\\"screen_recording_simulation\\\":\\n    40|        return \\\"Use local synthetic UI recording: generated interface frames, cursor path, typing reveal, zoom highlights.\\\"\\n    41|    return \\\"Use local animated card renderer: one concept per beat, no static slide holds over one second.\\\"\\n    42|\\n    43|\\n    44|def _local_job(scene: dict[str, Any]) -> dict[str, Any]:\\n    45|    mode = scene[\\\"asset_mode\\\"]\\n    46|    provider = \\\"local_ffmpeg\\\" if mode == \\\"kinetic_text_overlay\\\" else \\\"local_renderer\\\"\\n    47|    execution_mode = {\\n    48|        \\\"cinematic_ai_video\\\": \\\"procedural_motion\\\",\\n    49|        \\\"mechanism_animation\\\": \\\"mechanism_reveal_animation\\\",\\n    50|        \\\"kinetic_text_overlay\\\": \\\"kinetic_typography\\\",\\n    51|        \\\"screen_recording_simulation\\\": \\\"synthetic_screen_capture\\\",\\n    52|        \\\"animated_card\\\": \\\"animated_cards\\\",\\n    53|    }.get(mode, \\\"procedural_motion\\\")\\n    54|    return {\\n    55|        \\\"job_id\\\": _job_id(scene, \\\"local_motion\\\"),\\n    56|        \\\"scene_id\\\": scene[\\\"scene_id\\\"],\\n    57|        \\\"asset_mode\\\": mode,\\n    58|        \\\"provider\\\": provider,\\n    59|        \\\"execution_mode\\\": execution_mode,\\n    60|        \\\"cost\\\": \\\"free\\\",\\n    61|        \\\"requires_api_key\\\": False,\\n    62|        \\\"duration_seconds\\\": scene[\\\"duration_seconds\\\"],\\n    63|        \\\"overlay_text\\\": scene[\\\"overlay_text\\\"],\\n    64|        \\\"motion_directive\\\": scene[\\\"motion_directive\\\"],\\n    65|        \\\"free_workflow\\\": _local_motion_workflow(scene),\\n    66|        \\\"source_prompt\\\": scene[\\\"generation_prompt\\\"],\\n    67|        \\\"negative_prompt\\\": scene[\\\"negative_prompt\\\"],\\n    68|        \\\"outputs\\\": {\\n    69|            \\\"clip_placeholder\\\": f\\\"outputs/clips/{scene['scene_id']}.mp4\\\",\\n    70|            \\\"metadata_placeholder\\\": f\\\"outputs/clips/{scene['scene_id']}.json\\\",\\n    71|        },\\n    72|    }\\n    73|\\n    74|\\n    75|def _nvidia_prompt_refinement_job(scene: dict[str, Any]) -> dict[str, Any]:\\n    76|    return {\\n    77|        \\\"job_id\\\": _job_id(scene, \\\"nvidia_prompt_refine\\\"),\\n    78|        \\\"scene_id\\\": scene[\\\"scene_id\\\"],\\n    79|        \\\"asset_mode\\\": scene[\\\"asset_mode\\\"],\\n    80|        \\\"provider\\\": \\\"free_nvidia_llm\\\",\\n    81|        \\\"execution_mode\\\": \\\"prompt_to_motion_brief\\\",\\n    82|        \\\"cost\\\": \\\"free\\\",\\n    83|        \\\"requires_api_key\\\": \\\"NVIDIA_API_KEY\\\",\\n    84|        \\\"side_effect\\\": \\\"text_refinement_only\\\",\\n    85|        \\\"free_workflow\\\": (\\n    86|            \\\"Optionally ask a free build.nvidia.com LLM to compress the visual brief into local renderer instructions. \\\"\\n    87|            \\\"This is text planning only and must not call paid video-credit providers.\\\"\\n    88|        ),\\n    89|        \\\"input\\\": {\\n    90|            \\\"visual_direction\\\": scene[\\\"source_visual_direction\\\"],\\n    91|            \\\"retention_goal\\\": scene[\\\"retention_goal\\\"],\\n    92|            \\\"motion_directive\\\": scene[\\\"motion_directive\\\"],\\n    93|        },\\n    94|        \\\"output_placeholder\\\": f\\\"outputs/briefs/{scene['scene_id']}_motion_brief.json\\\",\\n    95|    }\\n    96|\\n    97|\\n    98|def build_free_production_jobs(asset_plan: dict[str, Any]) -> dict[str, Any]:\\n    99|    \\\"\\\"\\\"Build executable free production job specs from an asset plan.\\\"\\\"\\\"\\n   100|    jobs: list[dict[str, Any]] = []\\n   101|    for scene in asset_plan[\\\"scenes\\\"]:\\n   102|        jobs.append(_local_job(scene))\\n   103|        if scene[\\\"asset_mode\\\"] in {\\\"cinematic_ai_video\\\", \\\"mechanism_animation\\\"}:\\n   104|            jobs.append(_nvidia_prompt_refinement_job(scene))\\n   105|\\n   106|    providers = {job[\\\"provider\\\"] for job in jobs}\\n   107|    if providers & PAID_VIDEO_PROVIDERS:\\n   108|        raise ValueError(f\\\"Paid video providers are forbidden: {sorted(providers & PAID_VIDEO_PROVIDERS)}\\\")\\n   109|\\n   110|    return {\\n   111|        \\\"schema_version\\\": \\\"free_production_jobs.v1\\\",\\n   112|        \\\"video\\\": asset_plan[\\\"video\\\"],\\n   113|        \\\"budget_policy\\\": {\\n   114|            \\\"paid_video_credits_allowed\\\": False,\\n   115|            \\\"allowed_providers\\\": [\\\"local_renderer\\\", \\\"local_ffmpeg\\\", \\\"free_nvidia_llm\\\"],\\n   116|            \\\"nvidia_llm_scope\\\": \\\"text_refinement_only\\\",\\n   117|        },\\n   118|        \\\"jobs\\\": jobs,\\n   119|        \\\"assembly\\\": {\\n   120|            \\\"provider\\\": \\\"local_ffmpeg\\\",\\n   121|            \\\"cost\\\": \\\"free\\\",\\n   122|            \\\"steps\\\": [\\n   123|                \\\"render local scene clips\\\",\\n   124|                \\\"compose kinetic captions\\\",\\n   125|                \\\"add free/local SFX placeholders\\\",\\n   126|                \\\"assemble vertical MP4 with FFmpeg\\\",\\n   127|            ],\\n   128|        },\\n   129|    }\\n   130|\\n   131|\\n   132|def _jobs_filename(video: dict[str, Any]) -> str:\\n   133|    title_slug = _slug(video[\\\"title\\\"])\\n   134|    video_id = video[\\\"id\\\"]\\n   135|    if video_id.endswith(title_slug):\\n   136|        return f\\\"{video_id}.json\\\"\\n   137|    return f\\\"{video_id}-{title_slug}.json\\\"\\n   138|\\n   139|\\n   140|def write_free_production_jobs(asset_plans: list[dict[str, Any]], output_dir: Path) -> list[Path]:\\n   141|    \\\"\\\"\\\"Write free production job specs as JSON files.\\\"\\\"\\\"\\n   142|    output_dir.mkdir(parents=True, exist_ok=True)\\n   143|    paths: list[Path] = []\\n   144|    for asset_plan in asset_plans:\\n   145|        jobs = build_free_production_jobs(asset_plan)\\n   146|        path = output_dir / _jobs_filename(jobs[\\\"video\\\"])\\n   147|        path.write_text(json.dumps(jobs, indent=2, ensure_ascii=False) + \\\"\\\\n\\\", encoding=\\\"utf-8\\\")\\n   148|        paths.append(path)\\n   149|    return paths\\n   150|\", \"total_lines\": 149, \"file_size\": 6188, \"truncated\": false, \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_pk2vPCH51Y9EJeSX87B5bwai", "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "tool", "name": "read_file", "content": "{\"content\": \"     1|\\\"\\\"\\\"Deterministic preview renderer for AutoShortsBot render manifests.\\n     2|\\n     3|This v1 renderer intentionally uses manifest-driven cards/placeholders instead of\\n     4|AI-generated video. It renders a simple vertical MP4 suitable for timing and\\n     5|approval review before investing in polished assets.\\n     6|\\\"\\\"\\\"\\n     7|\\n     8|from __future__ import annotations\\n     9|\\n    10|import shutil\\n    11|import subprocess\\n    12|import tempfile\\n    13|import textwrap\\n    14|from pathlib import Path\\n    15|from typing import Any\\n    16|\\n    17|from PIL import Image, ImageDraw, ImageFont\\n    18|\\n    19|BACKGROUND_BY_TYPE = {\\n    20|    \\\"kinetic_text\\\": ((19, 23, 38), (79, 70, 229)),\\n    21|    \\\"screen_recording\\\": ((15, 23, 42), (14, 165, 233)),\\n    22|    \\\"card_animation\\\": ((17, 24, 39), (245, 158, 11)),\\n    23|    \\\"stock_broll\\\": ((28, 25, 23), (34, 197, 94)),\\n    24|    \\\"generated_background\\\": ((24, 24, 27), (168, 85, 247)),\\n    25|}\\n    26|\\n    27|\\n    28|def _font(size: int, bold: bool = False) -> ImageFont.FreeTypeFont | ImageFont.ImageFont:\\n    29|    candidates = [\\n    30|        \\\"/usr/share/fonts/truetype/dejavu/DejaVuSans-Bold.ttf\\\" if bold else \\\"/usr/share/fonts/truetype/dejavu/DejaVuSans.ttf\\\",\\n    31|        \\\"/usr/share/fonts/truetype/liberation2/LiberationSans-Bold.ttf\\\" if bold else \\\"/usr/share/fonts/truetype/liberation2/LiberationSans-Regular.ttf\\\",\\n    32|    ]\\n    33|    for path in candidates:\\n    34|        if Path(path).exists():\\n    35|            return ImageFont.truetype(path, size=size)\\n    36|    return ImageFont.load_default()\\n    37|\\n    38|\\n    39|def _wrap_text(text: str, width_chars: int) -> str:\\n    40|    return \\\"\\\\n\\\".join(textwrap.wrap(\\\" \\\".join(text.split()), width=width_chars))\\n    41|\\n    42|\\n    43|def _text_block_size(draw: ImageDraw.ImageDraw, text: str, font: Any, spacing: int) -> tuple[int, int]:\\n    44|    lines = text.splitlines() or [\\\"\\\"]\\n    45|    boxes = [draw.textbbox((0, 0), line, font=font) for line in lines]\\n    46|    width = max((box[2] - box[0] for box in boxes), default=0)\\n    47|    height = sum(box[3] - box[1] for box in boxes) + spacing * max(0, len(lines) - 1)\\n    48|    return int(width), int(height)\\n    49|\\n    50|\\n    51|def _fit_text_block(\\n    52|    draw: ImageDraw.ImageDraw,\\n    53|    text: str,\\n    54|    max_width: int,\\n    55|    max_height: int,\\n    56|    max_lines: int,\\n    57|    preferred_size: int,\\n    58|    min_size: int,\\n    59|    bold: bool,\\n    60|) -> dict[str, Any]:\\n    61|    \\\"\\\"\\\"Choose a readable font size and wrapping that fits a text box.\\\"\\\"\\\"\\n    62|    cleaned = \\\" \\\".join(text.split())\\n    63|    for size in range(preferred_size, min_size - 1, -1):\\n    64|        wrap_chars = max(10, round(max_width / (size * 0.54)))\\n    65|        wrapped = _wrap_text(cleaned, wrap_chars)\\n    66|        lines = wrapped.splitlines()\\n    67|        font = _font(size, bold=bold)\\n    68|        spacing = max(4, round(size * 0.25))\\n    69|        block_width, block_height = _text_block_size(draw, wrapped, font, spacing)\\n    70|        if len(lines) <= max_lines and block_width <= max_width and block_height <= max_height:\\n    71|            return {\\n    72|                \\\"text\\\": wrapped,\\n    73|                \\\"font\\\": font,\\n    74|                \\\"font_size\\\": size,\\n    75|                \\\"line_count\\\": len(lines),\\n    76|                \\\"spacing\\\": spacing,\\n    77|            }\\n    78|\\n    79|    fallback_font = _font(min_size, bold=bold)\\n    80|    fallback_chars = max(10, round(max_width / (min_size * 0.54)))\\n    81|    fallback = _wrap_text(cleaned, fallback_chars)\\n    82|    return {\\n    83|        \\\"text\\\": fallback,\\n    84|        \\\"font\\\": fallback_font,\\n    85|        \\\"font_size\\\": min_size,\\n    86|        \\\"line_count\\\": len(fallback.splitlines()),\\n    87|        \\\"spacing\\\": max(4, round(min_size * 0.25)),\\n    88|    }\\n    89|\\n    90|\\n    91|def _gradient(width: int, height: int, start: tuple[int, int, int], end: tuple[int, int, int]) -> Image.Image:\\n    92|    image = Image.new(\\\"RGB\\\", (width, height), start)\\n    93|    draw = ImageDraw.Draw(image)\\n    94|    for y in range(height):\\n    95|        ratio = y / max(1, height - 1)\\n    96|        color = tuple(round(start[i] * (1 - ratio) + end[i] * ratio) for i in range(3))\\n    97|        draw.line([(0, y), (width, y)], fill=color)\\n    98|    return image\\n    99|\\n   100|\\n   101|def _draw_multiline_center(\\n   102|    draw: ImageDraw.ImageDraw,\\n   103|    xy: tuple[int, int],\\n   104|    text: str,\\n   105|    font: Any,\\n   106|    fill: tuple[int, int, int],\\n   107|    spacing: int = 8,\\n   108|) -> None:\\n   109|    lines = text.splitlines()\\n   110|    line_boxes = [draw.textbbox((0, 0), line, font=font) for line in lines]\\n   111|    line_heights = [box[3] - box[1] for box in line_boxes]\\n   112|    total_height = sum(line_heights) + spacing * max(0, len(lines) - 1)\\n   113|    y = xy[1] - total_height // 2\\n   114|    for line, box, line_height in zip(lines, line_boxes, line_heights):\\n   115|        line_width = box[2] - box[0]\\n   116|        draw.text((xy[0] - line_width // 2, y), line, font=font, fill=fill)\\n   117|        y += line_height + spacing\\n   118|\\n   119|\\n   120|def _render_scene_image(\\n   121|    item: dict[str, Any], manifest: dict[str, Any], width: int, height: int\\n   122|) -> tuple[Image.Image, dict[str, int]]:\\n   123|    start, end = BACKGROUND_BY_TYPE.get(item[\\\"type\\\"], ((24, 24, 27), (64, 64, 64)))\\n   124|    image = _gradient(width, height, start, end)\\n   125|    draw = ImageDraw.Draw(image)\\n   126|\\n   127|    margin = round(width * 0.075)\\n   128|    title_font = _font(max(18, round(width * 0.06)), bold=True)\\n   129|    label_font = _font(max(12, round(width * 0.032)), bold=False)\\n   130|    small_font = _font(max(12, round(width * 0.034)), bold=False)\\n   131|\\n   132|    # Safe area and content card.\\n   133|    card_top = round(height * 0.18)\\n   134|    card_bottom = round(height * 0.78)\\n   135|    draw.rounded_rectangle(\\n   136|        [margin, card_top, width - margin, card_bottom],\\n   137|        radius=round(width * 0.04),\\n   138|        fill=(255, 255, 255),\\n   139|        outline=(226, 232, 240),\\n   140|        width=max(2, width // 180),\\n   141|    )\\n   142|\\n   143|    draw.text((margin, round(height * 0.055)), manifest[\\\"video\\\"][\\\"id\\\"], font=label_font, fill=(226, 232, 240))\\n   144|    draw.text((margin, round(height * 0.09)), item[\\\"type\\\"].replace(\\\"_\\\", \\\" \\\").upper(), font=title_font, fill=(255, 255, 255))\\n   145|\\n   146|    scene_label = item[\\\"id\\\"].replace(\\\"_\\\", \\\" \\\").upper()\\n   147|    draw.text((margin * 1.4, card_top + margin), scene_label, font=small_font, fill=(71, 85, 105))\\n   148|\\n   149|    main_fit = _fit_text_block(\\n   150|        draw,\\n   151|        item[\\\"text\\\"],\\n   152|        max_width=width - margin * 4,\\n   153|        max_height=round(height * 0.24),\\n   154|        max_lines=4,\\n   155|        preferred_size=max(22, round(width * 0.078)),\\n   156|        min_size=max(18, round(width * 0.063)),\\n   157|        bold=True,\\n   158|    )\\n   159|    _draw_multiline_center(\\n   160|        draw,\\n   161|        (width // 2, round(height * 0.45)),\\n   162|        main_fit[\\\"text\\\"],\\n   163|        main_fit[\\\"font\\\"],\\n   164|        (15, 23, 42),\\n   165|        spacing=main_fit[\\\"spacing\\\"],\\n   166|    )\\n   167|\\n   168|    retention_fit = _fit_text_block(\\n   169|        draw,\\n   170|        item.get(\\\"retention_goal\\\", \\\"\\\"),\\n   171|        max_width=width - margin * 4,\\n   172|        max_height=round(height * 0.14),\\n   173|        max_lines=3,\\n   174|        preferred_size=max(14, round(width * 0.048)),\\n   175|        min_size=max(12, round(width * 0.041)),\\n   176|        bold=False,\\n   177|    )\\n   178|    _draw_multiline_center(\\n   179|        draw,\\n   180|        (width // 2, round(height * 0.69)),\\n   181|        retention_fit[\\\"text\\\"],\\n   182|        retention_fit[\\\"font\\\"],\\n   183|        (71, 85, 105),\\n   184|        spacing=retention_fit[\\\"spacing\\\"],\\n   185|    )\\n   186|\\n   187|    timing = f\\\"{item['start_ms'] / 1000:.1f}s – {(item['start_ms'] + item['duration_ms']) / 1000:.1f}s\\\"\\n   188|    draw.text((margin, height - round(height * 0.075)), timing, font=label_font, fill=(226, 232, 240))\\n   189|    draw.text((width - margin - draw.textlength(\\\"PREVIEW\\\", font=label_font), height - round(height * 0.075)), \\\"PREVIEW\\\", font=label_font, fill=(226, 232, 240))\\n   190|    return image, {\\n   191|        \\\"main_font_size\\\": main_fit[\\\"font_size\\\"],\\n   192|        \\\"main_line_count\\\": main_fit[\\\"line_count\\\"],\\n   193|        \\\"retention_font_size\\\": retention_fit[\\\"font_size\\\"],\\n   194|        \\\"retention_line_count\\\": retention_fit[\\\"line_count\\\"],\\n   195|    }\\n   196|\\n   197|\\n   198|def build_preview_frames(manifest: dict[str, Any], width: int = 540, height: int = 960) -> list[dict[str, Any]]:\\n   199|    \\\"\\\"\\\"Build one representative image per visual timeline item.\\\"\\\"\\\"\\n   200|    visual_items = [item for item in manifest[\\\"timeline\\\"] if item[\\\"track\\\"] == \\\"visual\\\"]\\n   201|    frames: list[dict[str, Any]] = []\\n   202|    for item in visual_items:\\n   203|        image, typography = _render_scene_image(item, manifest, width, height)\\n   204|        frames.append(\\n   205|            {\\n   206|                \\\"scene_id\\\": item[\\\"id\\\"],\\n   207|                \\\"start_ms\\\": item[\\\"start_ms\\\"],\\n   208|                \\\"duration_ms\\\": item[\\\"duration_ms\\\"],\\n   209|                \\\"text\\\": item[\\\"text\\\"],\\n   210|                \\\"typography\\\": typography,\\n   211|                \\\"image\\\": image,\\n   212|            }\\n   213|        )\\n   214|    return frames\\n   215|\\n   216|\\n   217|def write_frame_images(frames: list[dict[str, Any]], output_dir: Path) -> list[Path]:\\n   218|    \\\"\\\"\\\"Write preview frames as numbered PNG files.\\\"\\\"\\\"\\n   219|    output_dir.mkdir(parents=True, exist_ok=True)\\n   220|    paths: list[Path] = []\\n   221|    for index, frame in enumerate(frames, start=1):\\n   222|        path = output_dir / f\\\"frame_{index:03d}_{frame['scene_id']}.png\\\"\\n   223|        frame[\\\"image\\\"].save(path)\\n   224|        paths.append(path)\\n   225|    return paths\\n   226|\\n   227|\\n   228|def _write_concat_file(frames: list[dict[str, Any]], image_paths: list[Path], concat_path: Path) -> None:\\n   229|    lines: list[str] = []\\n   230|    for frame, image_path in zip(frames, image_paths):\\n   231|        seconds = max(0.5, frame[\\\"duration_ms\\\"] / 1000)\\n   232|        lines.append(f\\\"file '{image_path.as_posix()}'\\\")\\n   233|        lines.append(f\\\"duration {seconds:.3f}\\\")\\n   234|    if image_paths:\\n   235|        lines.append(f\\\"file '{image_paths[-1].as_posix()}'\\\")\\n   236|    concat_path.write_text(\\\"\\\\n\\\".join(lines) + \\\"\\\\n\\\", encoding=\\\"utf-8\\\")\\n   237|\\n   238|\\n   239|def render_preview_video(\\n   240|    manifest: dict[str, Any],\\n   241|    output_path: Path,\\n   242|    width: int = 540,\\n   243|    height: int = 960,\\n   244|    fps: int = 24,\\n   245|) -> dict[str, Any]:\\n   246|    \\\"\\\"\\\"Render a manifest-driven preview MP4 using Pillow frames and ffmpeg.\\\"\\\"\\\"\\n   247|    ffmpeg = shutil.which(\\\"ffmpeg\\\")\\n   248|    if not ffmpeg:\\n   249|        raise RuntimeError(\\\"ffmpeg is required to render preview MP4 files\\\")\\n   250|\\n   251|    output_path.parent.mkdir(parents=True, exist_ok=True)\\n   252|    frames = build_preview_frames(manifest, width=width, height=height)\\n   253|    with tempfile.TemporaryDirectory(prefix=\\\"autoshorts_preview_\\\") as tmp:\\n   254|        tmp_dir = Path(tmp)\\n   255|        image_paths = write_frame_images(frames, tmp_dir / \\\"frames\\\")\\n   256|        concat_path = tmp_dir / \\\"concat.txt\\\"\\n   257|        _write_concat_file(frames, image_paths, concat_path)\\n   258|        command = [\\n   259|            ffmpeg,\\n   260|            \\\"-y\\\",\\n   261|            \\\"-f\\\",\\n   262|            \\\"concat\\\",\\n   263|            \\\"-safe\\\",\\n   264|            \\\"0\\\",\\n   265|            \\\"-i\\\",\\n   266|            str(concat_path),\\n   267|            \\\"-vf\\\",\\n   268|            f\\\"fps={fps},format=yuv420p\\\",\\n   269|            \\\"-movflags\\\",\\n   270|            \\\"+faststart\\\",\\n   271|            str(output_path),\\n   272|        ]\\n   273|        completed = subprocess.run(command, check=True, capture_output=True, text=True)\\n   274|    return {\\n   275|        \\\"output_path\\\": output_path,\\n   276|        \\\"frame_count\\\": len(frames),\\n   277|        \\\"fps\\\": fps,\\n   278|        \\\"stderr\\\": completed.stderr,\\n   279|    }\\n   280|\", \"total_lines\": 279, \"file_size\": 10275, \"truncated\": false, \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_dBRZuA4AcRHfrfLq6oLavwp4", "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "tool", "name": "search_files", "content": "{\"total_count\": 11, \"files\": [\"/home/agent/jarvis_runtime/AutoShortsBot/scripts/generate_free_production_jobs.py\", \"/home/agent/jarvis_runtime/AutoShortsBot/scripts/generate_mechanism_render_manifests.py\", \"/home/agent/jarvis_runtime/AutoShortsBot/scripts/generate_mechanism_shot_plans.py\", \"/home/agent/jarvis_runtime/AutoShortsBot/scripts/generate_retention_studio.py\", \"/home/agent/jarvis_runtime/AutoShortsBot/scripts/generate_asset_plans.py\", \"/home/agent/jarvis_runtime/AutoShortsBot/scripts/generate_telegram_review_packages.py\", \"/home/agent/jarvis_runtime/AutoShortsBot/scripts/render_preview.py\", \"/home/agent/jarvis_runtime/AutoShortsBot/scripts/generate_render_manifests.py\", \"/home/agent/jarvis_runtime/AutoShortsBot/scripts/generate_shot_plans.py\", \"/home/agent/jarvis_runtime/AutoShortsBot/scripts/generate_final_scripts.py\", \"/home/agent/jarvis_runtime/AutoShortsBot/scripts/generate_review_drafts.py\"]}", "tool_call_id": "call_6Dqd5n6eASsiR8qj0VndaXFz", "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "assistant", "content": "", "reasoning": "**Implementing renderer**\n\nI'm thinking about needing to implement a local renderer. It makes sense to start by inspecting the job JSON to gather the necessary details. I wonder if analyzing the JSON will help me understand what needs to be rendered properly. It's all about making sure I have the right information before diving into the implementation. Let's see how that goes!", "finish_reason": "tool_calls", "reasoning_content": "**Implementing renderer**\n\nI'm thinking about needing to implement a local renderer. It makes sense to start by inspecting the job JSON to gather the necessary details. I wonder if analyzing the JSON will help me understand what needs to be rendered properly. It's all about making sure I have the right information before diving into the implementation. Let's see how that goes!", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqEYWeH2_CxYpwWbHOI_vpuSYfCIvBovMKLljoZEKnc0-5x-s0Ujcc4hzZWry_S4OprFjMVGKCnZbi1udkwA2TtC70VTbOii49gHYrVODdXfYQdqUOFJyzaJo23hJ5qZ8-6CliASTJ5K_AQ7hrMablVA4ubipIHHbNW_UwcYm6Mod03j_ArFCnpDWe0cY7yfmO77NA02byA1y3pHfUMZOYOKR3tCuIrS4UBt6tkWwl5ibU0sfxDymOLrhWGW4fPfwF9tF_7aWUtgu9BdZLqkPLeh6EZaUU8mKQmaUdprfal_jLk6jQyDQB0aHDzvGqNp1HADMtjfgXfzMKjSAf7CzI-zddcTsIxmZZmUDXYEew_qJvW7AZbA1oPIT44sxC38aJtkuXQ801nP2zrSxjvIcrmDzdesrdo6DvS-tn2fXcRYr3fDtXUyFUApYQFB_QPUaGSMSNjlEPwmO8yvY7KGq9I7j3_JBmF-0IFB0W5n2VIj3mVqEsiZg2qH0W2kYYr6hZDXAthd0vtGDXZ9I05TJy1KQQKqqiVGTfGeSasK8raEUhEpemxyqz7hvTvaBUNd8t8BfruCMxMHWntaziFUXOR6obNuNWfbZBvjAb_RN7wwbwA340AGftcLWJ3w3-uTR-LTT9rQUR3shoNipEnL1vvTqj6LrTaRIEAk-B6XRXpU5rzPfOoUWmY8ytWGfDv4NWbJfLOXa3OryV0gngjUNHXW2vFr9rIFeZtC97PMKSC4LxsWMctczimgsEwhYb-4_fJjc6MYvCMn6u_ENg1zPckwiGjjPtZSyWZSdhuekD7HJJZ2BscBmEO9Z6BykruZymohgUpwPQTW5Iqn6AJUNH3whpRuRonWckcBvEfNt6Zgh-9Q6oQ_HL7EXll-dw4reZ17k810Cj-P36FCltaM-jTuQ_ZHb5T4OD27zj4WlV1xMm2307OnGa6tc9u9UF9ShO-Yut9aDCC0a0BtjylyeXyOoItELWteftYRej2y4fU3V5Kz8=", "id": "rs_02fcb77e3753fa56016a11859bb5688191837f7d8eeab44101", "summary": [{"type": "summary_text", "text": "**Implementing renderer**\n\nI'm thinking about needing to implement a local renderer. It makes sense to start by inspecting the job JSON to gather the necessary details. I wonder if analyzing the JSON will help me understand what needs to be rendered properly. It's all about making sure I have the right information before diving into the implementation. Let's see how that goes!"}]}], "tool_calls": [{"id": "call_RL1wDpgMhxr4eIhEy6r5JJ2z", "call_id": "call_RL1wDpgMhxr4eIhEy6r5JJ2z", "response_item_id": "fc_02fcb77e3753fa56016a11859ed8788191b06f393b18764948", "type": "function", "function": {"name": "read_file", "arguments": "{\"limit\":350,\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_free_production_jobs.py\"}"}}, {"id": "call_uu8h6oea9RkIIDtjQROVuN98", "call_id": "call_uu8h6oea9RkIIDtjQROVuN98", "response_item_id": "fc_02fcb77e3753fa56016a11859ed8848191b1bca81c93af7f00", "type": "function", "function": {"name": "read_file", "arguments": "{\"limit\":250,\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/scripts/generate_free_production_jobs.py\"}"}}, {"id": "call_grNUf3v1oNDETOSdyaZXODAp", "call_id": "call_grNUf3v1oNDETOSdyaZXODAp", "response_item_id": "fc_02fcb77e3753fa56016a11859ed88c8191add2d3de0205f970", "type": "function", "function": {"name": "read_file", "arguments": "{\"limit\":250,\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/data/free_production_jobs/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.json\"}"}}], "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "tool", "name": "read_file", "content": "{\"content\": \"     1|import json\\n     2|from pathlib import Path\\n     3|\\n     4|from autoshorts.free_production_jobs import build_free_production_jobs, write_free_production_jobs\\n     5|\\n     6|\\n     7|def _asset_plan() -> dict:\\n     8|    path = Path(\\\"data/asset_plans/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.json\\\")\\n     9|    return json.loads(path.read_text(encoding=\\\"utf-8\\\"))\\n    10|\\n    11|\\n    12|def test_free_production_jobs_never_use_paid_video_credit_providers():\\n    13|    jobs = build_free_production_jobs(_asset_plan())\\n    14|\\n    15|    assert jobs[\\\"schema_version\\\"] == \\\"free_production_jobs.v1\\\"\\n    16|    assert jobs[\\\"budget_policy\\\"][\\\"paid_video_credits_allowed\\\"] is False\\n    17|    forbidden = {\\\"kling\\\", \\\"hailuo\\\", \\\"runway\\\", \\\"veo\\\", \\\"pika\\\", \\\"luma\\\"}\\n    18|    providers = {job[\\\"provider\\\"] for job in jobs[\\\"jobs\\\"]}\\n    19|    assert providers.isdisjoint(forbidden)\\n    20|    assert {job[\\\"provider\\\"] for job in jobs[\\\"jobs\\\"]} <= {\\n    21|        \\\"local_renderer\\\",\\n    22|        \\\"local_ffmpeg\\\",\\n    23|        \\\"free_nvidia_llm\\\",\\n    24|    }\\n    25|\\n    26|\\n    27|def test_free_production_jobs_map_cinematic_scenes_to_local_motion_design():\\n    28|    jobs = build_free_production_jobs(_asset_plan())\\n    29|\\n    30|    first = jobs[\\\"jobs\\\"][0]\\n    31|\\n    32|    assert first[\\\"asset_mode\\\"] == \\\"cinematic_ai_video\\\"\\n    33|    assert first[\\\"provider\\\"] == \\\"local_renderer\\\"\\n    34|    assert first[\\\"execution_mode\\\"] == \\\"procedural_motion\\\"\\n    35|    assert \\\"Ken Burns\\\" in first[\\\"free_workflow\\\"] or \\\"parallax\\\" in first[\\\"free_workflow\\\"]\\n    36|    assert first[\\\"requires_api_key\\\"] is False\\n    37|    assert first[\\\"cost\\\"] == \\\"free\\\"\\n    38|\\n    39|\\n    40|def test_free_production_jobs_use_nvidia_llm_only_for_optional_prompt_refinement():\\n    41|    jobs = build_free_production_jobs(_asset_plan())\\n    42|\\n    43|    llm_jobs = [job for job in jobs[\\\"jobs\\\"] if job[\\\"provider\\\"] == \\\"free_nvidia_llm\\\"]\\n    44|\\n    45|    assert llm_jobs\\n    46|    assert all(job[\\\"requires_api_key\\\"] == \\\"NVIDIA_API_KEY\\\" for job in llm_jobs)\\n    47|    assert all(job[\\\"side_effect\\\"] == \\\"text_refinement_only\\\" for job in llm_jobs)\\n    48|    assert all(\\\"video generation\\\" not in job[\\\"free_workflow\\\"].lower() for job in llm_jobs)\\n    49|\\n    50|\\n    51|def test_write_free_production_jobs_outputs_json(tmp_path):\\n    52|    paths = write_free_production_jobs([_asset_plan()], tmp_path)\\n    53|\\n    54|    assert len(paths) == 1\\n    55|    payload = json.loads(paths[0].read_text(encoding=\\\"utf-8\\\"))\\n    56|    assert payload[\\\"schema_version\\\"] == \\\"free_production_jobs.v1\\\"\\n    57|    assert payload[\\\"video\\\"][\\\"id\\\"] == \\\"hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann\\\"\\n    58|\", \"total_lines\": 57, \"file_size\": 2291, \"truncated\": false, \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_RL1wDpgMhxr4eIhEy6r5JJ2z", "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "tool", "name": "read_file", "content": "{\"content\": \"     1|\\\"\\\"\\\"Generate free production job specs from AutoShortsBot asset plans.\\\"\\\"\\\"\\n     2|\\n     3|from __future__ import annotations\\n     4|\\n     5|import argparse\\n     6|import json\\n     7|import sys\\n     8|from pathlib import Path\\n     9|\\n    10|PROJECT_ROOT = Path(__file__).resolve().parents[1]\\n    11|if str(PROJECT_ROOT) not in sys.path:\\n    12|    sys.path.insert(0, str(PROJECT_ROOT))\\n    13|\\n    14|from autoshorts.free_production_jobs import write_free_production_jobs\\n    15|\\n    16|\\n    17|def _load_asset_plans(path: Path) -> list[dict]:\\n    18|    if path.is_dir():\\n    19|        files = sorted(path.glob(\\\"*.json\\\"))\\n    20|    else:\\n    21|        files = [path]\\n    22|    return [json.loads(file.read_text(encoding=\\\"utf-8\\\")) for file in files]\\n    23|\\n    24|\\n    25|def main() -> None:\\n    26|    parser = argparse.ArgumentParser(description=\\\"Generate free production job specs.\\\")\\n    27|    parser.add_argument(\\\"--asset-plan\\\", default=\\\"data/asset_plans/mechanism_pilots\\\")\\n    28|    parser.add_argument(\\\"--out\\\", default=\\\"data/free_production_jobs/mechanism_pilots\\\")\\n    29|    args = parser.parse_args()\\n    30|\\n    31|    asset_plans = _load_asset_plans(Path(args.asset_plan))\\n    32|    paths = write_free_production_jobs(asset_plans, Path(args.out))\\n    33|    print(f\\\"Generated {len(paths)} free production job specs in {args.out}\\\")\\n    34|    for path in paths:\\n    35|        print(path)\\n    36|\\n    37|\\n    38|if __name__ == \\\"__main__\\\":\\n    39|    main()\\n    40|\", \"total_lines\": 39, \"file_size\": 1205, \"truncated\": false, \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_uu8h6oea9RkIIDtjQROVuN98", "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "tool", "name": "read_file", "content": "{\"content\": \"     1|{\\n     2|  \\\"schema_version\\\": \\\"free_production_jobs.v1\\\",\\n     3|  \\\"video\\\": {\\n     4|    \\\"id\\\": \\\"hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann\\\",\\n     5|    \\\"title\\\": \\\"Warum ein billiges Auto teuer sein kann\\\",\\n     6|    \\\"pillar\\\": \\\"hidden_money_systems\\\",\\n     7|    \\\"duration_ms\\\": 34000,\\n     8|    \\\"aspect_ratio\\\": \\\"9:16\\\",\\n     9|    \\\"resolution\\\": {\\n    10|      \\\"width\\\": 1080,\\n    11|      \\\"height\\\": 1920\\n    12|    },\\n    13|    \\\"fps\\\": 30\\n    14|  },\\n    15|  \\\"budget_policy\\\": {\\n    16|    \\\"paid_video_credits_allowed\\\": false,\\n    17|    \\\"allowed_providers\\\": [\\n    18|      \\\"local_renderer\\\",\\n    19|      \\\"local_ffmpeg\\\",\\n    20|      \\\"free_nvidia_llm\\\"\\n    21|    ],\\n    22|    \\\"nvidia_llm_scope\\\": \\\"text_refinement_only\\\"\\n    23|  },\\n    24|  \\\"jobs\\\": [\\n    25|    {\\n    26|      \\\"job_id\\\": \\\"scene_01_local_motion\\\",\\n    27|      \\\"scene_id\\\": \\\"scene_01\\\",\\n    28|      \\\"asset_mode\\\": \\\"cinematic_ai_video\\\",\\n    29|      \\\"provider\\\": \\\"local_renderer\\\",\\n    30|      \\\"execution_mode\\\": \\\"procedural_motion\\\",\\n    31|      \\\"cost\\\": \\\"free\\\",\\n    32|      \\\"requires_api_key\\\": false,\\n    33|      \\\"duration_seconds\\\": 3,\\n    34|      \\\"overlay_text\\\": \\\"Dieser Occasion-Käufer denkt, er spart 4'000 Franken.\\\",\\n    35|      \\\"motion_directive\\\": \\\"slow handheld push-in, subtle parallax, natural micro-movements\\\",\\n    36|      \\\"free_workflow\\\": \\\"Use local procedural motion: illustrated/abstract background, object-layer parallax, Ken Burns push-in, depth shadows, speed ramps, camera shake on beat, and renderer captions. No paid video-generation credits.\\\",\\n    37|      \\\"source_prompt\\\": \\\"Vertical 9:16 cinematic-looking local motion scene, a realistic creator at a desk late evening, laptop open to an AI chat, thoughtful but in control, hands moving between keyboard and notebook. Mood: focused, modern, high-retention social video, dramatic lighting simulated with gradients and shadows. Scene intent: 3D car x-ray with price tag layers and risk meters freezes mid-action with warning signal. Camera: slow handheld push-in, subtle parallax, natural micro-movements. Use local procedural animation/parallax rather than paid AI-video credits; keep captions renderer-overlay only.\\\",\\n    38|      \\\"negative_prompt\\\": \\\"no readable text, no subtitles, no logos, no watermarks, no distorted hands, no fake UI text, no slideshow, no static image, no uncanny faces\\\",\\n    39|      \\\"outputs\\\": {\\n    40|        \\\"clip_placeholder\\\": \\\"outputs/clips/scene_01.mp4\\\",\\n    41|        \\\"metadata_placeholder\\\": \\\"outputs/clips/scene_01.json\\\"\\n    42|      }\\n    43|    },\\n    44|    {\\n    45|      \\\"job_id\\\": \\\"scene_01_nvidia_prompt_refine\\\",\\n    46|      \\\"scene_id\\\": \\\"scene_01\\\",\\n    47|      \\\"asset_mode\\\": \\\"cinematic_ai_video\\\",\\n    48|      \\\"provider\\\": \\\"free_nvidia_llm\\\",\\n    49|      \\\"execution_mode\\\": \\\"prompt_to_motion_brief\\\",\\n    50|      \\\"cost\\\": \\\"free\\\",\\n    51|      \\\"requires_api_key\\\": \\\"NVIDIA_API_KEY\\\",\\n    52|      \\\"side_effect\\\": \\\"text_refinement_only\\\",\\n    53|      \\\"free_workflow\\\": \\\"Optionally ask a free build.nvidia.com LLM to compress the visual brief into local renderer instructions. This is text planning only and must not call paid video-credit providers.\\\",\\n    54|      \\\"input\\\": {\\n    55|        \\\"visual_direction\\\": \\\"3D car x-ray with price tag layers and risk meters freezes mid-action with warning signal.\\\",\\n    56|        \\\"retention_goal\\\": \\\"Open a visual loop immediately; make the viewer need the hidden explanation.\\\",\\n    57|        \\\"motion_directive\\\": \\\"slow handheld push-in, subtle parallax, natural micro-movements\\\"\\n    58|      },\\n    59|      \\\"output_placeholder\\\": \\\"outputs/briefs/scene_01_motion_brief.json\\\"\\n    60|    },\\n    61|    {\\n    62|      \\\"job_id\\\": \\\"scene_02_local_motion\\\",\\n    63|      \\\"scene_id\\\": \\\"scene_02\\\",\\n    64|      \\\"asset_mode\\\": \\\"cinematic_ai_video\\\",\\n    65|      \\\"provider\\\": \\\"local_renderer\\\",\\n    66|      \\\"execution_mode\\\": \\\"procedural_motion\\\",\\n    67|      \\\"cost\\\": \\\"free\\\",\\n    68|      \\\"requires_api_key\\\": false,\\n    69|      \\\"duration_seconds\\\": 4,\\n    70|      \\\"overlay_text\\\": \\\"Das sieht harmlos aus, bis du den Mechanismus dahinter siehst.\\\",\\n    71|      \\\"motion_directive\\\": \\\"slow handheld push-in, subtle parallax, natural micro-movements\\\",\\n    72|      \\\"free_workflow\\\": \\\"Use local procedural motion: illustrated/abstract background, object-layer parallax, Ken Burns push-in, depth shadows, speed ramps, camera shake on beat, and renderer captions. No paid video-generation credits.\\\",\\n    73|      \\\"source_prompt\\\": \\\"Vertical 9:16 cinematic-looking local motion scene, a realistic creator at a desk late evening, laptop open to an AI chat, thoughtful but in control, hands moving between keyboard and notebook. Mood: focused, modern, high-retention social video, dramatic lighting simulated with gradients and shadows. Scene intent: surface layer peels away to reveal the hidden system underneath. Camera: slow handheld push-in, subtle parallax, natural micro-movements. Use local procedural animation/parallax rather than paid AI-video credits; keep captions renderer-overlay only.\\\",\\n    74|      \\\"negative_prompt\\\": \\\"no readable text, no subtitles, no logos, no watermarks, no distorted hands, no fake UI text, no slideshow, no static image, no uncanny faces\\\",\\n    75|      \\\"outputs\\\": {\\n    76|        \\\"clip_placeholder\\\": \\\"outputs/clips/scene_02.mp4\\\",\\n    77|        \\\"metadata_placeholder\\\": \\\"outputs/clips/scene_02.json\\\"\\n    78|      }\\n    79|    },\\n    80|    {\\n    81|      \\\"job_id\\\": \\\"scene_02_nvidia_prompt_refine\\\",\\n    82|      \\\"scene_id\\\": \\\"scene_02\\\",\\n    83|      \\\"asset_mode\\\": \\\"cinematic_ai_video\\\",\\n    84|      \\\"provider\\\": \\\"free_nvidia_llm\\\",\\n    85|      \\\"execution_mode\\\": \\\"prompt_to_motion_brief\\\",\\n    86|      \\\"cost\\\": \\\"free\\\",\\n    87|      \\\"requires_api_key\\\": \\\"NVIDIA_API_KEY\\\",\\n    88|      \\\"side_effect\\\": \\\"text_refinement_only\\\",\\n    89|      \\\"free_workflow\\\": \\\"Optionally ask a free build.nvidia.com LLM to compress the visual brief into local renderer instructions. This is text planning only and must not call paid video-credit providers.\\\",\\n    90|      \\\"input\\\": {\\n    91|        \\\"visual_direction\\\": \\\"surface layer peels away to reveal the hidden system underneath.\\\",\\n    92|        \\\"retention_goal\\\": \\\"Make the surface-level interpretation feel incomplete.\\\",\\n    93|        \\\"motion_directive\\\": \\\"slow handheld push-in, subtle parallax, natural micro-movements\\\"\\n    94|      },\\n    95|      \\\"output_placeholder\\\": \\\"outputs/briefs/scene_02_motion_brief.json\\\"\\n    96|    },\\n    97|    {\\n    98|      \\\"job_id\\\": \\\"scene_03_local_motion\\\",\\n    99|      \\\"scene_id\\\": \\\"scene_03\\\",\\n   100|      \\\"asset_mode\\\": \\\"mechanism_animation\\\",\\n   101|      \\\"provider\\\": \\\"local_renderer\\\",\\n   102|      \\\"execution_mode\\\": \\\"mechanism_reveal_animation\\\",\\n   103|      \\\"cost\\\": \\\"free\\\",\\n   104|      \\\"requires_api_key\\\": false,\\n   105|      \\\"duration_seconds\\\": 6,\\n   106|      \\\"overlay_text\\\": \\\"Röntgenblick durch Preis, Reparaturrisiko, Standtage, Händler-Marge und\\\",\\n   107|      \\\"motion_directive\\\": \\\"large kinetic caption words pop and slide with beat-synced emphasis\\\",\\n   108|      \\\"free_workflow\\\": \\\"Use local mechanism animation: vector-like shapes, x-ray/layer reveals, animated arrows, risk meters, price-tag layers, sequential labels, and beat-synced clicks.\\\",\\n   109|      \\\"source_prompt\\\": \\\"Vertical 9:16 mechanism-reveal animation. Build a clear visual explanation with moving layers, x-ray/röntgen reveal, arrows, meters, object cutaways, and sequential labels added by our renderer. Mechanism task: 3D car x-ray with price tag layers and risk meters Motion: sequential layer reveal every 1-2 seconds. No static holds longer than one second; keep all readable text as renderer overlays.\\\",\\n   110|      \\\"negative_prompt\\\": \\\"no static diagram, no dense labels, no tiny text, no unreadable chart junk, no generic infographic\\\",\\n   111|      \\\"outputs\\\": {\\n   112|        \\\"clip_placeholder\\\": \\\"outputs/clips/scene_03.mp4\\\",\\n   113|        \\\"metadata_placeholder\\\": \\\"outputs/clips/scene_03.json\\\"\\n   114|      }\\n   115|    },\\n   116|    {\\n   117|      \\\"job_id\\\": \\\"scene_03_nvidia_prompt_refine\\\",\\n   118|      \\\"scene_id\\\": \\\"scene_03\\\",\\n   119|      \\\"asset_mode\\\": \\\"mechanism_animation\\\",\\n   120|      \\\"provider\\\": \\\"free_nvidia_llm\\\",\\n   121|      \\\"execution_mode\\\": \\\"prompt_to_motion_brief\\\",\\n   122|      \\\"cost\\\": \\\"free\\\",\\n   123|      \\\"requires_api_key\\\": \\\"NVIDIA_API_KEY\\\",\\n   124|      \\\"side_effect\\\": \\\"text_refinement_only\\\",\\n   125|      \\\"free_workflow\\\": \\\"Optionally ask a free build.nvidia.com LLM to compress the visual brief into local renderer instructions. This is text planning only and must not call paid video-credit providers.\\\",\\n   126|      \\\"input\\\": {\\n   127|        \\\"visual_direction\\\": \\\"3D car x-ray with price tag layers and risk meters\\\",\\n   128|        \\\"retention_goal\\\": \\\"Reveal the invisible system through moving layers, not narration alone.\\\",\\n   129|        \\\"motion_directive\\\": \\\"large kinetic caption words pop and slide with beat-synced emphasis\\\"\\n   130|      },\\n   131|      \\\"output_placeholder\\\": \\\"outputs/briefs/scene_03_motion_brief.json\\\"\\n   132|    },\\n   133|    {\\n   134|      \\\"job_id\\\": \\\"scene_04_local_motion\\\",\\n   135|      \\\"scene_id\\\": \\\"scene_04\\\",\\n   136|      \\\"asset_mode\\\": \\\"mechanism_animation\\\",\\n   137|      \\\"provider\\\": \\\"local_renderer\\\",\\n   138|      \\\"execution_mode\\\": \\\"mechanism_reveal_animation\\\",\\n   139|      \\\"cost\\\": \\\"free\\\",\\n   140|      \\\"requires_api_key\\\": false,\\n   141|      \\\"duration_seconds\\\": 6,\\n   142|      \\\"overlay_text\\\": \\\"Der teuerste Fehler ist nicht der Kaufpreis, sondern der Zeitpunkt.\\\",\\n   143|      \\\"motion_directive\\\": \\\"large kinetic caption words pop and slide with beat-synced emphasis\\\",\\n   144|      \\\"free_workflow\\\": \\\"Use local mechanism animation: vector-like shapes, x-ray/layer reveals, animated arrows, risk meters, price-tag layers, sequential labels, and beat-synced clicks.\\\",\\n   145|      \\\"source_prompt\\\": \\\"Vertical 9:16 mechanism-reveal animation. Build a clear visual explanation with moving layers, x-ray/röntgen reveal, arrows, meters, object cutaways, and sequential labels added by our renderer. Mechanism task: camera snaps from obvious cause to real cause; wrong layer fades out. Motion: snap zoom + wrong answer collapses. No static holds longer than one second; keep all readable text as renderer overlays.\\\",\\n   146|      \\\"negative_prompt\\\": \\\"no static diagram, no dense labels, no tiny text, no unreadable chart junk, no generic infographic\\\",\\n   147|      \\\"outputs\\\": {\\n   148|        \\\"clip_placeholder\\\": \\\"outputs/clips/scene_04.mp4\\\",\\n   149|        \\\"metadata_placeholder\\\": \\\"outputs/clips/scene_04.json\\\"\\n   150|      }\\n   151|    },\\n   152|    {\\n   153|      \\\"job_id\\\": \\\"scene_04_nvidia_prompt_refine\\\",\\n   154|      \\\"scene_id\\\": \\\"scene_04\\\",\\n   155|      \\\"asset_mode\\\": \\\"mechanism_animation\\\",\\n   156|      \\\"provider\\\": \\\"free_nvidia_llm\\\",\\n   157|      \\\"execution_mode\\\": \\\"prompt_to_motion_brief\\\",\\n   158|      \\\"cost\\\": \\\"free\\\",\\n   159|      \\\"requires_api_key\\\": \\\"NVIDIA_API_KEY\\\",\\n   160|      \\\"side_effect\\\": \\\"text_refinement_only\\\",\\n   161|      \\\"free_workflow\\\": \\\"Optionally ask a free build.nvidia.com LLM to compress the visual brief into local renderer instructions. This is text planning only and must not call paid video-credit providers.\\\",\\n   162|      \\\"input\\\": {\\n   163|        \\\"visual_direction\\\": \\\"camera snaps from obvious cause to real cause; wrong layer fades out.\\\",\\n   164|        \\\"retention_goal\\\": \\\"Reframe the obvious cause into the real cause.\\\",\\n   165|        \\\"motion_directive\\\": \\\"large kinetic caption words pop and slide with beat-synced emphasis\\\"\\n   166|      },\\n   167|      \\\"output_placeholder\\\": \\\"outputs/briefs/scene_04_motion_brief.json\\\"\\n   168|    },\\n   169|    {\\n   170|      \\\"job_id\\\": \\\"scene_05_local_motion\\\",\\n   171|      \\\"scene_id\\\": \\\"scene_05\\\",\\n   172|      \\\"asset_mode\\\": \\\"kinetic_text_overlay\\\",\\n   173|      \\\"provider\\\": \\\"local_ffmpeg\\\",\\n   174|      \\\"execution_mode\\\": \\\"kinetic_typography\\\",\\n   175|      \\\"cost\\\": \\\"free\\\",\\n   176|      \\\"requires_api_key\\\": false,\\n   177|      \\\"duration_seconds\\\": 6,\\n   178|      \\\"overlay_text\\\": \\\"Morgen zeige ich das nächste versteckte System, bevor es dich Geld\\\",\\n   179|      \\\"motion_directive\\\": \\\"large kinetic caption words pop and slide with beat-synced emphasis\\\",\\n   180|      \\\"free_workflow\\\": \\\"Use local kinetic typography: large words, scale pops, slide-ins, glow pulses, and FFmpeg/Pillow compositing.\\\",\\n   181|      \\\"source_prompt\\\": \\\"Kinetic text overlay scene. Use large caption words, fast emphasis, scale pops, and clean background motion. Overlay text: Morgen zeige ich das nächste versteckte System, bevor es dich Geld\\\",\\n   182|      \\\"negative_prompt\\\": \\\"no long paragraphs, no tiny footnotes, no static card\\\",\\n   183|      \\\"outputs\\\": {\\n   184|        \\\"clip_placeholder\\\": \\\"outputs/clips/scene_05.mp4\\\",\\n   185|        \\\"metadata_placeholder\\\": \\\"outputs/clips/scene_05.json\\\"\\n   186|      }\\n   187|    }\\n   188|  ],\\n   189|  \\\"assembly\\\": {\\n   190|    \\\"provider\\\": \\\"local_ffmpeg\\\",\\n   191|    \\\"cost\\\": \\\"free\\\",\\n   192|    \\\"steps\\\": [\\n   193|      \\\"render local scene clips\\\",\\n   194|      \\\"compose kinetic captions\\\",\\n   195|      \\\"add free/local SFX placeholders\\\",\\n   196|      \\\"assemble vertical MP4 with FFmpeg\\\"\\n   197|    ]\\n   198|  }\\n   199|}\\n   200|\", \"total_lines\": 199, \"file_size\": 11644, \"truncated\": false, \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_grNUf3v1oNDETOSdyaZXODAp", "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "assistant", "content": "", "reasoning": "**Designing motion renderer tests**\n\nI need to create tests first for the local_motion_renderer.py. It should render from free jobs to MP4 and include metadata. I’m considering using Pillow for animation, likely at full 1080p, but for tests, I want to keep it lighter with smaller width and lower fps. The behavior must filter local jobs, exclude NVIDIA, render individual scene clips, and compile them into MP4 with scene count. I also need to ensure that ffmpeg is installed and will test using TDD techniques.\n**Implementing local motion renderer**\n\nI’m working on the local_motion_renderer.py. I need to define parameters like _font, _wrap, and _gradient. I see that local production jobs have mixed jobs from local_renderer and local_ffmpeg. The function to build scene frames should return frame metadata, perhaps instead of images? I might generate frames as a PNG sequence temporarily and then encode them into MP4. There’s a duration mismatch issue to address since the expected duration is 34 seconds, while free jobs sum to 25 seconds. I'll need to inspect the data further.", "finish_reason": "tool_calls", "reasoning_content": "**Designing motion renderer tests**\n\nI need to create tests first for the local_motion_renderer.py. It should render from free jobs to MP4 and include metadata. I’m considering using Pillow for animation, likely at full 1080p, but for tests, I want to keep it lighter with smaller width and lower fps. The behavior must filter local jobs, exclude NVIDIA, render individual scene clips, and compile them into MP4 with scene count. I also need to ensure that ffmpeg is installed and will test using TDD techniques.\n**Implementing local motion renderer**\n\nI’m working on the local_motion_renderer.py. I need to define parameters like _font, _wrap, and _gradient. I see that local production jobs have mixed jobs from local_renderer and local_ffmpeg. The function to build scene frames should return frame metadata, perhaps instead of images? I might generate frames as a PNG sequence temporarily and then encode them into MP4. There’s a duration mismatch issue to address since the expected duration is 34 seconds, while free jobs sum to 25 seconds. I'll need to inspect the data further.", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqEYWuCGvRFq-U99qFREMHNtSFRFMpO1xez_hTTTmfbwGFjii393QIRBlpLLbhcpzqj5uDPECrKnIHlBCEhF4CR-i1ezJwoientRyc_7bBsCI0ZGdOGpm5WI7WPk23gtJb7jsoiRDA6peFbTaFBhBcztVVJEuJEcf0TfYIusIoF_BVxORF2VicE3gcvSHMX8E1MhYN2AsGT6dqV-l6pOapfWacQOAYHjs8ZuUzdGlJYjPUJk7jc3taUVOj0nWG36cN7yJxwhiQsi54_Y8ZlkxfkrdsSwnlgag_dPOHu9gjFE1Nzgz9De0ngdL3vavdZ4Kls70I6_zVryghdPxPRy_6ce77sGDSABMqlswG5xEPlQG0ekF9GP78dajaMKja7qJdJPWHZTqcz4gWjUtBwjksU7GQf8awk68nqOH0e569FyJJsmfWVvf7kHMU_SYIVZlp_mlie36fKX7BYnXw2Za53gsDdmSgpyMGVlDfg_HmHGd742-UKPXVZLpWVStvM0qUfOzt8eyxlg6J6Pt5oPiPvjJxufiNLiG3cnTrdunbJUhFCRUJyQyL1i0tlfXV1hcikdPBjIMm90AZf11wN01s-Keq22sBgg9zc9yr6LfO6de6jdvLJr03d5v42ii9EXtQo7Q9qL8Nq0cA1DU4sdhTX9AtM8jFbnzrkgcvXNrShprNz4iPq5vkAgijBUIS6XF1D8p4Z3XwyXOJEhY7Dd8Yc26d_ZK-3UEjQwdTEMawftCFkLa2xAE_AobU813zqavjrb1JOyUNL6kG0KVZfEdZKZEBIXe1xQAJ_mKFLrN9MwTinGN8uJRjWAyA02qMcbIiBSeVykfDA0l0A6cgiXgT6EhQEf3Tsgf45JzBeSZpHNuGXWhabOgwRBEuK5OycPQp_rwD7JzGrw3b2U1FlnpxPnGhSLDkalojt3pyqMutGka8fsBscANFWZoh5U2PKkQk19GE607PliGC3KTQ-aIyAKgvMDEYVlzeiB0yz9sgR8aHtlPfFaKTNGKEIcMCZuGNQvM_BT6TfZawkjeQW4NRxbCgFmyOtOWt8WDDhyLeh6Txb4Jva3CiUjefUkccTmh9tbKOpqCCYSd7qBpOY0a2HQ0tX8YH13byztxrifk4CLJe2sq853Z0wOkPqEfAPQikw5ERvaQkLOFTssz0HIA6CdKJmOj8fySmO0Ib719v3v-FlzChzW4iNnXvHP9aLIP7mwNYzeG83Fs-vqUxHgfNRdD7ONiSz2E9sZSB2pbvNXMcxBIdvIEnNBn7o0Bh2wXRDPl0Drd0Gfm8PsSQudmPL5GRvCdydyxhRJPHF6BU6ZRTADwvg1c7NNejkNqqfg6h30W4K0bjQ13TaBXkDy2bNiYJNtE_MfuJahwge0yWtK2ea3qBehX2vyM446nq54oUYfBr4UKEpZr9fIaAj6EZwXb1dia3LvrCP8T3MdJjiiA6Yehea834CITSS-STmLAfLZD7fpWkmtOKSa36FY_nhO25ZpXwrqRLnzS3-1gHYngIMgwYmZCqrPc72Ho2rNKSLACRArRXFpbAw2d-jtxS1-zKfY1bZYc4nxhS_kMe1lHhNc-rBqpUzfA8NL21P-gxPeCzt68hSWKj5gJKQEgSX3P0AIaR51yKqIKiEGgqibh4Sl3Z2DSdM7O5HIxbs8aSmdn5qiq49IPuZOcSJ7MmXrIcCFTIL9d1hMPzqkFVZEQKI8fNrlJH8E7dncpG3IEOAxmcKIUqb9nqcsBRyLQzqMNHhqQAHDarnAHlk_Oc_daQ2NLcci3wLeU5xeVp-4SgAx8UZE92Tqi5K1xEpjFJbxQWblOCax2jvMk6R5bqKBVPb3AHnZ1VR6aUhaVJ27AJweF7tXDbYcg9ihbZeiamAg3f7LxkNBCUawKYp2LZ7xYyBd7tf1sMtho_6XrolX_cMxdu3ThNBojkY4w29E_SDGCfhywLngUxYAnjaItTH3Az1l-PLHkZG6i-CFHb7AnwdUrJbznEw7QuGBAKgFx_nciUOrzEmksbcY4o0J7-_8UwQAdqCufdZNqcvyDdGixeOzaSGswBkZ9nKpIGcRzhykLVYZgonC1F2B1QlnIZP_9YLANlxneEyhXV8NfDUNeNnmkUIpJCdnde-YmKr9HiwS5F_12ZaO7DECfpoeqGI2rLB3BdA1gSt1KHjqjVcOFuHoaDTPbPKDpsLd2R0JZ6YTZ2wkCav296QAkGyI3WsX9WUjCfcU97U0IKSjhreOdpRcTSH08BMFx5iuhX0xiSXwENihwFtcKZy2SQQ77DGhhEp2NeHH7xrbqYF3aT2G61VDMxEGLBf-SG_H405wX979mVxKJNZWjas_XTgr3C0LMLAc3jABqgqcOck0uI0iNEcZGxnhGuIeOWBjhcGDvATfZKb4ZZbuoxy7N9rX3Q1Z2L35BjCVFSesXf_oSx9rEJxy2lnGToOUlE_bI1fkguCSjQOzueBe0FOuZA3KZ4Svci1DGrz2SXEIzM5PcOmZ31PESad3qOi_6lzJxMZpz9cQ0XfTe91rErm-u-NBnjZ0Hy-iW-FkVUVsm3rJBZkq9ae0JfkOleQE5ku5h968QS9fjah3fuiUHt27ECZN_llzpPDRJkMzMon7DwFYr6QVKz9BmrVIHix9Kb0frW6EFWVwVEsC6gGCXqu_5-dTan6TZG3RiXqnrXga3e1EGZwC_frpPXwQCXXY5cD4-YIFtkr73JES2Y0nqSaWZ7JuD6u59L5DKSuvTZs07HE0oL5M3cqWX1pkA-kagPBx-LwEJMfKsXitHZEKpHea0QQzPZ9_hifKHuFRMg9Uh0APBn45_arey-0wAN8gc4aSieDY37nAKY7lRIs0JY1quAMSjMKjDI9rS-KAcWLmSiel5x5WG87KyH0sJpohUDR-hr4kQws1rCf-zh43BE_p4JSjw9cLycEE3oWzLHQaOgv3GSw4NSUHK2w8gG1eewoJVWj_4D-Vh3Tt4doMdzOD5-1raDDwRL_dpFoPuF0bZCne-Y2I9KOhOjZ9Nj4rbeG3nDFfeRR0-h5BmASBsaMAqIJVZUXe7AQdpwtsBjvwVfW6nGDWXBXWJGZ8lbOJQY0npGqSialORC2KoSkzQgVk9bziP5AHRdHXvI96FSo6pyicTm1vYUucBUwB9mymGIqeTKInc-8x0XYjiL4AxX5pEVs5wNCk4smAzQwsTESlxQ5-YpjQNr-O2iKqI-GKZYBdZiKIBjSDHUL0XV_HBWt8gynvs7XxfG45ZUfnKdAob-Zs7Bfv2WLeC7Z6Yyr5UsvZvv44pt_MnxYyCW9x5VsKO6rDVIlCpS27tdzSF5hmzqHS0rMxNvszWPXGtFMuUuR3-dO3zq6hNSyoaINKdlQZUJhcMnnWfsfv-xdROkTYSjgAuNpAaQBLgcH5e4YVBfMAGC1xtn9C7A4vigPVEpDnKvlPoWvfnsRJVtZTnrD6YN9HGs_Z31iM041UPl8LWX8y3ljEXmJgL-1_qNmZyaxrYc_9HxWwA0jUc=", "id": "rs_0b21afa3da4b4d8b016a1185a332dc8191a75edf1226015324", "summary": [{"type": "summary_text", "text": "**Designing motion renderer tests**\n\nI need to create tests first for the local_motion_renderer.py. It should render from free jobs to MP4 and include metadata. I’m considering using Pillow for animation, likely at full 1080p, but for tests, I want to keep it lighter with smaller width and lower fps. The behavior must filter local jobs, exclude NVIDIA, render individual scene clips, and compile them into MP4 with scene count. I also need to ensure that ffmpeg is installed and will test using TDD techniques."}, {"type": "summary_text", "text": "**Implementing local motion renderer**\n\nI’m working on the local_motion_renderer.py. I need to define parameters like _font, _wrap, and _gradient. I see that local production jobs have mixed jobs from local_renderer and local_ffmpeg. The function to build scene frames should return frame metadata, perhaps instead of images? I might generate frames as a PNG sequence temporarily and then encode them into MP4. There’s a duration mismatch issue to address since the expected duration is 34 seconds, while free jobs sum to 25 seconds. I'll need to inspect the data further."}]}], "tool_calls": [{"id": "call_nQkuqa6oxqThUE44zvD9pLTg", "call_id": "call_nQkuqa6oxqThUE44zvD9pLTg", "response_item_id": "fc_0b21afa3da4b4d8b016a1185aea3548191a8296744921fea41", "type": "function", "function": {"name": "search_files", "arguments": "{\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot\",\"pattern\":\"duration_seconds\",\"target\":\"content\",\"file_glob\":\"*.py\",\"limit\":50,\"context\":2}"}}], "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "tool", "name": "search_files", "content": "{\"total_count\": 125, \"matches\": [{\"path\": \"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_asset_plan.py\", \"line\": 45, \"content\": \"        assert \\\"paid ai-video credits\\\" in prompt.lower()\"}, {\"path\": \"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_asset_plan.py\", \"line\": 46, \"content\": \"        assert \\\"no readable text\\\" in scene[\\\"negative_prompt\\\"].lower()\"}, {\"path\": \"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_asset_plan.py\", \"line\": 47, \"content\": \"        assert scene[\\\"duration_seconds\\\"] >= 3\"}, {\"path\": \"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_asset_plan.py\", \"line\": 48, \"content\": \"        assert scene[\\\"duration_seconds\\\"] <= 6\"}, {\"path\": \"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_asset_plan.py\", \"line\": 49, \"content\": \"\"}, {\"path\": \"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_asset_plan.py\", \"line\": 50, \"content\": \"\"}, {\"path\": \"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_review_package.py\", \"line\": 28, \"content\": \"    assert package[\\\"id\\\"] == \\\"ai-004\\\"\"}, {\"path\": \"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_review_package.py\", \"line\": 29, \"content\": \"    assert package[\\\"pillar\\\"] == \\\"ai_life_systems\\\"\"}, {\"path\": \"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_review_package.py\", \"line\": 30, \"content\": \"    assert package[\\\"duration_seconds\\\"] == 43\"}, {\"path\": \"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_review_package.py\", \"line\": 31, \"content\": \"    assert package[\\\"quality_score\\\"] == 10\"}, {\"path\": \"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_review_package.py\", \"line\": 32, \"content\": \"    assert package[\\\"visual_scene_count\\\"] == 5\"}, {\"path\": \"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_testbatch_002.py\", \"line\": 25, \"content\": \"\"}, {\"path\": \"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_testbatch_002.py\", \"line\": 26, \"content\": \"    assert min(scores) >= 8\"}, {\"path\": \"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_testbatch_002.py\", \"line\": 27, \"content\": \"    assert sum(1 for idea in batch[\\\"ideas\\\"] if idea[\\\"duration_seconds\\\"] >= 60) == 3\"}, {\"path\": \"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_script_drafts.py\", \"line\": 12, \"content\": \"\"}, {\"path\": \"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_script_drafts.py\", \"line\": 13, \"content\": \"    assert draft[\\\"id\\\"] == idea[\\\"id\\\"]\"}, {\"path\": \"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_script_drafts.py\", \"line\": 14, \"content\": \"    assert draft[\\\"duration_seconds\\\"] == idea[\\\"duration_seconds\\\"]\"}, {\"path\": \"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_script_drafts.py\", \"line\": 15, \"content\": \"    assert draft[\\\"sections\\\"][0][\\\"label\\\"] == \\\"Hook\\\"\"}, {\"path\": \"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_script_drafts.py\", \"line\": 16, \"content\": \"    assert draft[\\\"sections\\\"][0][\\\"text\\\"] == idea[\\\"hook\\\"]\"}, {\"path\": \"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_script_drafts.py\", \"line\": 17, \"content\": \"    assert sum(section[\\\"seconds\\\"] for section in draft[\\\"sections\\\"]) == idea[\\\"duration_seconds\\\"]\"}, {\"path\": \"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_script_drafts.py\", \"line\": 18, \"content\": \"    assert draft[\\\"platform_note\\\"] == \\\"Growth Short\\\"\"}, {\"path\": \"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_script_drafts.py\", \"line\": 19, \"content\": \"    assert draft[\\\"hashtags\\\"]\"}, {\"path\": \"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_script_drafts.py\", \"line\": 22, \"content\": \"def test_build_script_draft_marks_tiktok_rewards_candidate():\"}, {\"path\": \"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_script_drafts.py\", \"line\": 23, \"content\": \"    batch = load_testbatch(Path(\\\"data/drafts/testbatch_001.json\\\"))\"}, {\"path\": \"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_script_drafts.py\", \"line\": 24, \"content\": \"    idea = next(item for item in batch[\\\"ideas\\\"] if item[\\\"duration_seconds\\\"] >= 60)\"}, {\"path\": \"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_script_drafts.py\", \"line\": 25, \"content\": \"\"}, {\"path\": \"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_script_drafts.py\", \"line\": 26, \"content\": \"    draft = build_script_draft(idea)\"}, {\"path\": \"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_voiceover_finalizer.py\", \"line\": 13, \"content\": \"    assert final[\\\"id\\\"] == \\\"ai-004\\\"\"}, {\"path\": \"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_voiceover_finalizer.py\", \"line\": 14, \"content\": \"    assert final[\\\"voiceover\\\"].startswith(idea[\\\"hook\\\"])\"}, {\"path\": \"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_voiceover_finalizer.py\", \"line\": 15, \"content\": \"    assert final[\\\"estimated_seconds\\\"] <= idea[\\\"duration_seconds\\\"] + 4\"}, {\"path\": \"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_voiceover_finalizer.py\", \"line\": 16, \"content\": \"    assert final[\\\"estimated_seconds\\\"] >= idea[\\\"duration_seconds\\\"] - 12\"}, {\"path\": \"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_voiceover_finalizer.py\", \"line\": 17, \"content\": \"    assert final[\\\"word_count\\\"] > 70\"}, {\"path\": \"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_voiceover_finalizer.py\", \"line\": 18, \"content\": \"    assert final[\\\"caption_beats\\\"][0][\\\"start\\\"] == 0\"}, {\"path\": \"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_retention.py\", \"line\": 15, \"content\": \"    idea = {\"}, {\"path\": \"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_retention.py\", \"line\": 16, \"content\": \"        \\\"hook\\\": \\\"In this video I will talk about productivity tips.\\\",\"}, {\"path\": \"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_retention.py\", \"line\": 17, \"content\": \"        \\\"duration_seconds\\\": 75,\"}, {\"path\": \"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_retention.py\", \"line\": 18, \"content\": \"        \\\"visual_concept\\\": \\\"Static slideshow with abstract background.\\\",\"}, {\"path\": \"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_retention.py\", \"line\": 19, \"content\": \"        \\\"script_outline\\\": \\\"Some generic advice about habits and routines.\\\",\"}, {\"path\": \"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_retention.py\", \"line\": 31, \"content\": \"    idea = {\"}, {\"path\": \"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_retention.py\", \"line\": 32, \"content\": \"        \\\"hook\\\": \\\"You do not need more discipline. You need a smaller first step.\\\",\"}, {\"path\": \"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_retention.py\", \"line\": 33, \"content\": \"        \\\"duration_seconds\\\": 38,\"}, {\"path\": \"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_retention.py\", \"line\": 34, \"content\": \"        \\\"visual_concept\\\": \\\"Pattern interrupt: messy desk becomes one tiny next action with timer and captions.\\\",\"}, {\"path\": \"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_retention.py\", \"line\": 35, \"content\": \"        \\\"script_outline\\\": \\\"Challenge the discipline myth, show the two-minute starter, give one concrete example, close the loop.\\\",\"}, {\"path\": \"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/review_package.py\", \"line\": 37, \"content\": \"    visual_types = sorted({item[\\\"type\\\"] for item in visual_items})\"}, {\"path\": \"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/review_package.py\", \"line\": 38, \"content\": \"    return {\"}, {\"path\": \"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/review_package.py\", \"line\": 39, \"content\": \"        \\\"duration_seconds\\\": round(manifest[\\\"video\\\"][\\\"duration_ms\\\"] / 1000),\"}, {\"path\": \"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/review_package.py\", \"line\": 40, \"content\": \"        \\\"visual_scene_count\\\": len(visual_items),\"}, {\"path\": \"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/review_package.py\", \"line\": 41, \"content\": \"        \\\"caption_beat_count\\\": len(caption_items),\"}, {\"path\": \"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/review_package.py\", \"line\": 56, \"content\": \"        \\\"pillar\\\": idea[\\\"pillar\\\"],\"}, {\"path\": \"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/review_package.py\", \"line\": 57, \"content\": \"        \\\"platforms\\\": idea[\\\"platform_target\\\"],\"}], \"truncated\": true}\n\n[Hint: Results truncated. Use offset=50 to see more, or narrow with a more specific pattern or file_glob.]", "tool_call_id": "call_nQkuqa6oxqThUE44zvD9pLTg", "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_5qCcDX6WiEPMGr9EVgrlgWuf", "call_id": "call_5qCcDX6WiEPMGr9EVgrlgWuf", "response_item_id": "fc_0a8389036459fb9a016a1185b0f14c81919a8a81c5c085153d", "type": "function", "function": {"name": "read_file", "arguments": "{\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/asset_plan.py\",\"limit\":350}"}}], "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "tool", "name": "read_file", "content": "{\"content\": \"     1|\\\"\\\"\\\"Asset planning for final, motion-led AutoShortsBot renders.\\n     2|\\n     3|This layer converts render manifests into explicit asset-generation plans so final\\n     4|videos can use local procedural motion, screen-recording simulations, kinetic\\n     5|overlays, and mechanism animations instead of static text slides. The plan is\\n     6|budget-safe: paid video-credit providers are not required.\\n     7|\\\"\\\"\\\"\\n     8|\\n     9|from __future__ import annotations\\n    10|\\n    11|import json\\n    12|from pathlib import Path\\n    13|from typing import Any\\n    14|\\n    15|from autoshorts.script_drafts import _slug\\n    16|\\n    17|SCENE_MODE_BY_TYPE = {\\n    18|    \\\"kinetic_text\\\": \\\"kinetic_text_overlay\\\",\\n    19|    \\\"screen_recording\\\": \\\"screen_recording_simulation\\\",\\n    20|    \\\"card_animation\\\": \\\"animated_card\\\",\\n    21|    \\\"stock_broll\\\": \\\"cinematic_ai_video\\\",\\n    22|    \\\"generated_background\\\": \\\"cinematic_ai_video\\\",\\n    23|    \\\"cinematic_ai_video\\\": \\\"cinematic_ai_video\\\",\\n    24|    \\\"mechanism_animation\\\": \\\"mechanism_animation\\\",\\n    25|    \\\"kinetic_text_overlay\\\": \\\"kinetic_text_overlay\\\",\\n    26|}\\n    27|\\n    28|\\n    29|# Scene-level overrides keep AI/productivity videos from becoming five text cards.\\n    30|SCENE_MODE_OVERRIDES = {\\n    31|    \\\"ai_life_systems\\\": {\\n    32|        \\\"scene_01\\\": \\\"cinematic_ai_video\\\",\\n    33|        \\\"scene_02\\\": \\\"screen_recording_simulation\\\",\\n    34|        \\\"scene_03\\\": \\\"animated_card\\\",\\n    35|        \\\"scene_04\\\": \\\"screen_recording_simulation\\\",\\n    36|        \\\"scene_05\\\": \\\"kinetic_text_overlay\\\",\\n    37|    },\\n    38|    \\\"attention_design\\\": {\\n    39|        \\\"scene_01\\\": \\\"cinematic_ai_video\\\",\\n    40|        \\\"scene_02\\\": \\\"cinematic_ai_video\\\",\\n    41|        \\\"scene_03\\\": \\\"animated_card\\\",\\n    42|        \\\"scene_04\\\": \\\"screen_recording_simulation\\\",\\n    43|        \\\"scene_05\\\": \\\"kinetic_text_overlay\\\",\\n    44|    },\\n    45|}\\n    46|\\n    47|\\n    48|def _visual_items(manifest: dict[str, Any]) -> list[dict[str, Any]]:\\n    49|    return [item for item in manifest[\\\"timeline\\\"] if item[\\\"track\\\"] == \\\"visual\\\"]\\n    50|\\n    51|\\n    52|def _duration_seconds(item: dict[str, Any]) -> int:\\n    53|    return max(3, min(6, round(int(item[\\\"duration_ms\\\"]) / 1000)))\\n    54|\\n    55|\\n    56|def _asset_mode(item: dict[str, Any], pillar: str) -> str:\\n    57|    override = SCENE_MODE_OVERRIDES.get(pillar, {}).get(item[\\\"id\\\"])\\n    58|    if override:\\n    59|        return override\\n    60|    return SCENE_MODE_BY_TYPE.get(item[\\\"type\\\"], \\\"cinematic_ai_video\\\")\\n    61|\\n    62|\\n    63|def _camera_motion(scene_id: str, mode: str) -> str:\\n    64|    if mode == \\\"cinematic_ai_video\\\":\\n    65|        return \\\"slow handheld push-in, subtle parallax, natural micro-movements\\\"\\n    66|    if mode == \\\"screen_recording_simulation\\\":\\n    67|        return \\\"cursor movement, typing reveal, zoom to changed prompt, highlighted selection box\\\"\\n    68|    if mode == \\\"animated_card\\\":\\n    69|        return \\\"cards slide in one at a time, one concept per beat, slight scale pops\\\"\\n    70|    return \\\"large kinetic caption words pop and slide with beat-synced emphasis\\\"\\n    71|\\n    72|\\n    73|def _cinematic_subject(pillar: str, text: str) -> str:\\n    74|    if pillar == \\\"attention_design\\\":\\n    75|        return (\\n    76|            \\\"a realistic person holding a phone in a dim modern room, thumb hovering over an endless feed, \\\"\\n    77|            \\\"then a decisive pause as the screen glow reflects on their face\\\"\\n    78|        )\\n    79|    return (\\n    80|        \\\"a realistic creator at a desk late evening, laptop open to an AI chat, thoughtful but in control, \\\"\\n    81|        \\\"hands moving between keyboard and notebook\\\"\\n    82|    )\\n    83|\\n    84|\\n    85|def _generation_prompt(item: dict[str, Any], manifest: dict[str, Any], mode: str) -> str:\\n    86|    video = manifest[\\\"video\\\"]\\n    87|    text = item[\\\"text\\\"]\\n    88|    if mode == \\\"cinematic_ai_video\\\":\\n    89|        subject = _cinematic_subject(video[\\\"pillar\\\"], text)\\n    90|        return (\\n    91|            f\\\"Vertical 9:16 cinematic-looking local motion scene, {subject}. \\\"\\n    92|            f\\\"Mood: focused, modern, high-retention social video, dramatic lighting simulated with gradients and shadows. \\\"\\n    93|            f\\\"Scene intent: {item['visual_direction']} Camera: {_camera_motion(item['id'], mode)}. \\\"\\n    94|            \\\"Use local procedural animation/parallax rather than paid AI-video credits; keep captions renderer-overlay only.\\\"\\n    95|        )\\n    96|    if mode == \\\"screen_recording_simulation\\\":\\n    97|        return (\\n    98|            \\\"Vertical 9:16 UI/screen-recording simulation. Show an AI chat or phone interface being edited live: \\\"\\n    99|            f\\\"{item['visual_direction']} Use typing, cursor movement, zoom highlights, and before/after prompt changes. \\\"\\n   100|            \\\"All readable captions must be added by our renderer overlay, not baked into the clip.\\\"\\n   101|        )\\n   102|    if mode == \\\"animated_card\\\":\\n   103|        return (\\n   104|            \\\"Vertical animated explainer card sequence. Minimal dark UI, one idea per beat, animated boxes and arrows. \\\"\\n   105|            f\\\"Visual task: {item['visual_direction']} Keep it moving; no static slide holds longer than one second.\\\"\\n   106|        )\\n   107|    if mode == \\\"mechanism_animation\\\":\\n   108|        return (\\n   109|            \\\"Vertical 9:16 mechanism-reveal animation. Build a clear visual explanation with moving layers, x-ray/röntgen reveal, \\\"\\n   110|            \\\"arrows, meters, object cutaways, and sequential labels added by our renderer. \\\"\\n   111|            f\\\"Mechanism task: {item['visual_direction']} Motion: {item.get('visual_motion', _camera_motion(item['id'], mode))}. \\\"\\n   112|            \\\"No static holds longer than one second; keep all readable text as renderer overlays.\\\"\\n   113|        )\\n   114|    return (\\n   115|        \\\"Kinetic text overlay scene. Use large caption words, fast emphasis, scale pops, and clean background motion. \\\"\\n   116|        f\\\"Overlay text: {text}\\\"\\n   117|    )\\n   118|\\n   119|\\n   120|def _negative_prompt(mode: str) -> str:\\n   121|    if mode == \\\"cinematic_ai_video\\\":\\n   122|        return (\\n   123|            \\\"no readable text, no subtitles, no logos, no watermarks, no distorted hands, no fake UI text, \\\"\\n   124|            \\\"no slideshow, no static image, no uncanny faces\\\"\\n   125|        )\\n   126|    if mode == \\\"screen_recording_simulation\\\":\\n   127|        return \\\"no private data, no real credentials, no illegible tiny UI, no brand logos unless approved\\\"\\n   128|    if mode == \\\"animated_card\\\":\\n   129|        return \\\"no dense paragraphs, no static PowerPoint slide, no tiny text, no chart junk\\\"\\n   130|    if mode == \\\"mechanism_animation\\\":\\n   131|        return \\\"no static diagram, no dense labels, no tiny text, no unreadable chart junk, no generic infographic\\\"\\n   132|    return \\\"no long paragraphs, no tiny footnotes, no static card\\\"\\n   133|\\n   134|\\n   135|def _scene_asset_plan(item: dict[str, Any], manifest: dict[str, Any]) -> dict[str, Any]:\\n   136|    video = manifest[\\\"video\\\"]\\n   137|    mode = _asset_mode(item, video[\\\"pillar\\\"])\\n   138|    return {\\n   139|        \\\"scene_id\\\": item[\\\"id\\\"],\\n   140|        \\\"asset_ref\\\": item[\\\"asset_ref\\\"],\\n   141|        \\\"asset_mode\\\": mode,\\n   142|        \\\"provider_family\\\": \\\"local_free_renderer\\\",\\n   143|        \\\"duration_seconds\\\": _duration_seconds(item),\\n   144|        \\\"overlay_text\\\": item[\\\"text\\\"],\\n   145|        \\\"caption_strategy\\\": \\\"renderer_overlay_only\\\",\\n   146|        \\\"no_text_in_video\\\": mode == \\\"cinematic_ai_video\\\",\\n   147|        \\\"motion_directive\\\": _camera_motion(item[\\\"id\\\"], mode),\\n   148|        \\\"generation_prompt\\\": _generation_prompt(item, manifest, mode),\\n   149|        \\\"negative_prompt\\\": _negative_prompt(mode),\\n   150|        \\\"retention_goal\\\": item[\\\"retention_goal\\\"],\\n   151|        \\\"source_visual_direction\\\": item[\\\"visual_direction\\\"],\\n   152|    }\\n   153|\\n   154|\\n   155|def build_asset_plan(manifest: dict[str, Any]) -> dict[str, Any]:\\n   156|    \\\"\\\"\\\"Build a final-render asset plan from a render manifest.\\\"\\\"\\\"\\n   157|    scenes = [_scene_asset_plan(item, manifest) for item in _visual_items(manifest)]\\n   158|    modes = [scene[\\\"asset_mode\\\"] for scene in scenes]\\n   159|    return {\\n   160|        \\\"schema_version\\\": \\\"asset_plan.v2\\\",\\n   161|        \\\"video\\\": manifest[\\\"video\\\"],\\n   162|        \\\"scenes\\\": scenes,\\n   163|        \\\"final_render_strategy\\\": {\\n   164|            \\\"preview_renderer_role\\\": \\\"storyboard_only\\\",\\n   165|            \\\"budget_policy\\\": \\\"free_only_no_paid_video_credits\\\",\\n   166|            \\\"static_card_limit\\\": 0,\\n   167|            \\\"must_use_motion_assets\\\": True,\\n   168|            \\\"preferred_mix\\\": {\\n   169|                \\\"cinematic_ai_video\\\": modes.count(\\\"cinematic_ai_video\\\"),\\n   170|                \\\"screen_recording_simulation\\\": modes.count(\\\"screen_recording_simulation\\\"),\\n   171|                \\\"animated_card\\\": modes.count(\\\"animated_card\\\"),\\n   172|                \\\"mechanism_animation\\\": modes.count(\\\"mechanism_animation\\\"),\\n   173|                \\\"kinetic_text_overlay\\\": modes.count(\\\"kinetic_text_overlay\\\"),\\n   174|            },\\n   175|            \\\"captions\\\": \\\"large kinetic overlays generated by renderer; no baked text in AI clips\\\",\\n   176|            \\\"approval_required_before_publish\\\": True,\\n   177|        },\\n   178|    }\\n   179|\\n   180|\\n   181|def _asset_plan_filename(video: dict[str, Any]) -> str:\\n   182|    title_slug = _slug(video[\\\"title\\\"])\\n   183|    video_id = video[\\\"id\\\"]\\n   184|    if video_id.endswith(title_slug):\\n   185|        return f\\\"{video_id}.json\\\"\\n   186|    return f\\\"{video_id}-{title_slug}.json\\\"\\n   187|\\n   188|\\n   189|def write_asset_plans(manifests: list[dict[str, Any]], output_dir: Path) -> list[Path]:\\n   190|    \\\"\\\"\\\"Write asset plans as JSON files.\\\"\\\"\\\"\\n   191|    output_dir.mkdir(parents=True, exist_ok=True)\\n   192|    paths: list[Path] = []\\n   193|    for manifest in manifests:\\n   194|        plan = build_asset_plan(manifest)\\n   195|        path = output_dir / _asset_plan_filename(plan[\\\"video\\\"])\\n   196|        path.write_text(json.dumps(plan, indent=2, ensure_ascii=False) + \\\"\\\\n\\\", encoding=\\\"utf-8\\\")\\n   197|        paths.append(path)\\n   198|    return paths\\n   199|\", \"total_lines\": 198, \"file_size\": 8705, \"truncated\": false, \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_5qCcDX6WiEPMGr9EVgrlgWuf", "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "assistant", "content": "", "reasoning": "**Considering test specifications**\n\nI’m thinking about fixing `duration_seconds` to have a precise float or maintain it less than or equal to a certain value. Tests expect it to be less than or equal to 6 seconds, but I see the mechanism could break with 13 seconds. The goal seems to be capping clips at a maximum of 6 seconds each. I need to write a test file for local rendering. Is it necessary to avoid ffmpeg in unit tests? I want to ensure testing will cover the necessary function.", "finish_reason": "tool_calls", "reasoning_content": "**Considering test specifications**\n\nI’m thinking about fixing `duration_seconds` to have a precise float or maintain it less than or equal to a certain value. Tests expect it to be less than or equal to 6 seconds, but I see the mechanism could break with 13 seconds. The goal seems to be capping clips at a maximum of 6 seconds each. I need to write a test file for local rendering. Is it necessary to avoid ffmpeg in unit tests? I want to ensure testing will cover the necessary function.", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqEYW5d5MlCqqPr9MLrQ8zSJ_q3LzZo6DWtCimdC11sOHh1GdJzhU0-z0uC7P_5xWBz0Wf1AFNbB8j1-d1bpGfI1QGN2OdXb8uegNwmsrf_Cut1B-dMliVomhdv3nZ9dkHht-SK5xgC2633A02cqUXk0HcpanaU5ImXgFT4PoxKwjGyDPTHAmYzPmee6PHlI9OOy11KqEjfhg8RUspBDeDjxdCZv4nmMrNWrAPzo8zy3c_zbfRhR4i10NMF2-10PbkDY3TXGk3x1htv0xoWoIKpQe-xLtsouRZaMeLeMaI7miSqZsfdFYnxjNKyD7FkR56r9qi-jWW0L1rddLOqwrPMK3s4cLRizGnrM3sIyWqCFjqeH9aIihP_FM3o3Nvnz-9nDLm4O1d5KguaEmb9mfD2a9_tP-htkjpAahVfrHAz4OMYqP5usqOOIKh_-2ysc4dpnt-_xb42HIch0PjbDyYvXc38hbVJWOJvC1KPiYeXUy_VoXpwIyQqAILq8CUEHT8HE9QDZtZSQZFEbJwery0UjsGrQk2SRMyPTdgEA_rQNMVoDSmPZgs1GICripTy7-gYe02IWcUGV5yHXlI0tc22Tu3c9FKG2aC1bupSOwt24WHmAnKDUMGlFkvqu9Rdnk0Dm_1GpbEGeICQKUNfKJEZ0VhfcHnRsy3SQtnnejieyDGwEOGto3P1C-QTli80kUaPYGK_E3zDLXiPDkEoxhgV9mGba27cYE5kAJEHwJSVQFc_BvNmeNRLxShTJOjuoz2EhUhdELowkV8oLKxCBouPhX2xGeIS_ZoDGrxE1XQMNBul_iTfRDIufaqEHJguZ3xcycrVJ5fQhVDhMBOthK7f_X20-iRD7orppKyGjrWG-T4d8BGnOWCmYc0xym7xY-kZOESMHA5ewE7NKLjR-RtpC1RYnmnvTwHci-vTgLocRCqZ5Bzpp637YOJBDBnhfnH5i9eZ2D4-nLYfP_iipVTo-Qd9vpZCM6HGmuE8NcnRQy5VKXxNF0fxwsIeMRo11KpySxsLSIs85yzYOAoGVnOOTqHUcow6YwTEyinqSJpVsJWqd-d12Z5Jkrfy7LZKnkc90I_d0i2wXG8Bwa4feVgIvgDU6YxXlk0QCGdFybSWBEQvpaaEjTnNg1vo2zAnBLbAXFY0hNqCxEZEpyAdm0WV3epsbtstd1HCTeyj_4G1R2Yb0h9y0VtXRDcRnf2Y1M_z1roR25u-DEl7oCm8S6htd7g7IF_5DrF68BGadXoH-ukLD77la00ybMIV7E1-hI-oedut-WywSlL_EaOujm0-Rflap_7KABsOXOsN_sh6ndOplx1X6m0-vwmAEG0JWljDTJo6Alf-AyMfOws3aASDFRQ8Xwbga325heq61N9lbiXYkGwjx-1aq8dOowahDuQWCzAmmYwqa93PBSYuFvIhp604hN9RqJG0enkdTfm0ohs9R903IRHKXMy8B8x60ETrU2erDBCmKAOwnyFGyGhTWsId4fZvYBXddng193w9FFdqbIs36j89Np45buXRWXoTclEfF1PcUdejFrlOFUvL4YOMXMP5lOvZ1bMDRRigz-9jXZiX3srFVLhxTAIT8-gfa_2QSO3o93cnY6EmdTfX6UAzD7ilPRDD5SFpAzuw-UYFLYTTUj1YjajW7F8sbdrrOJtqRVR_rUn422idKzYnImqpJI4NTulJhUcv4zCqgcvUOOSFvKOhRb75V4lotXYVKiVB_eCAwMtJatQ-KljT6OlldCV4-K_4ayJKq-d0HC69NY8YbPAyhOTuGV9YJ0HCoOtk859Go3NG8I7_SEuog4rSudU1SKG-lJ_Ar2QtOgSGwWJ8BijC-ORSBSTSku5llOnvj3UgU91MP6uH1Av6znshoTkcrPHZqhF0UavTgkbCHxtiyTUEP0JynKulb-Sds0eNMFwJUEWqGyZLZV4NCqYzIwj41SzOTfCQ_8ezxk7HEhnrnPT8UZWiOD2km-A2pB2RqAycdatgSPYdvts3-oxGQFCNERGlIAaeg0UnqdzZrVWdGQzoaw8iayQMc7eI48UDO0xbQx73XJgVh60N8DCnEQjIUAvOrHj0svxo-0P7ly351CfSXr1sZOtc17I4xJB", "id": "rs_052e8f3f15b7b802016a1185b3ddb08191854f73a962ec5acd", "summary": [{"type": "summary_text", "text": "**Considering test specifications**\n\nI’m thinking about fixing `duration_seconds` to have a precise float or maintain it less than or equal to a certain value. Tests expect it to be less than or equal to 6 seconds, but I see the mechanism could break with 13 seconds. The goal seems to be capping clips at a maximum of 6 seconds each. I need to write a test file for local rendering. Is it necessary to avoid ffmpeg in unit tests? I want to ensure testing will cover the necessary function."}]}], "tool_calls": [{"id": "call_NwDDhJlOzhRtkL26gBngQi5T", "call_id": "call_NwDDhJlOzhRtkL26gBngQi5T", "response_item_id": "fc_052e8f3f15b7b802016a1185b931ac819194aa186c125f4306", "type": "function", "function": {"name": "todo", "arguments": "{\"todos\":[{\"content\":\"Repo-Zustand und vorhandene Free-Production-Pipeline prüfen\",\"id\":\"inspect\",\"status\":\"completed\"},{\"content\":\"TDD für Local Motion Renderer v1 schreiben und RED verifizieren\",\"id\":\"tdd\",\"status\":\"in_progress\"},{\"content\":\"Local Motion Renderer v1 implementieren und Pilot-MP4 rendern\",\"id\":\"implement\",\"status\":\"pending\"},{\"content\":\"Tests, ffprobe und Git-Status/Commit/Push verifizieren\",\"id\":\"verify\",\"status\":\"pending\"}],\"merge\":true}"}}], "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "tool", "name": "todo", "content": "{\"todos\": [{\"id\": \"inspect\", \"content\": \"Repo-Zustand und vorhandene Free-Production-Pipeline prüfen\", \"status\": \"completed\"}, {\"id\": \"tdd\", \"content\": \"TDD für Local Motion Renderer v1 schreiben und RED verifizieren\", \"status\": \"in_progress\"}, {\"id\": \"implement\", \"content\": \"Local Motion Renderer v1 implementieren und Pilot-MP4 rendern\", \"status\": \"pending\"}, {\"id\": \"verify\", \"content\": \"Tests, ffprobe und Git-Status/Commit/Push verifizieren\", \"status\": \"pending\"}], \"summary\": {\"total\": 4, \"pending\": 2, \"in_progress\": 1, \"completed\": 1, \"cancelled\": 0}}", "tool_call_id": "call_NwDDhJlOzhRtkL26gBngQi5T", "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_q47DhHxmqT54q5EQubBd3lI1", "call_id": "call_q47DhHxmqT54q5EQubBd3lI1", "response_item_id": "fc_06408ab1f4c5c4f3016a1185bb33ac8191a74b1678f0df0a0f", "type": "function", "function": {"name": "write_file", "arguments": "{\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_local_motion_renderer.py\",\"content\":\"import json\\nfrom pathlib import Path\\n\\nfrom autoshorts.local_motion_renderer import local_render_jobs, render_local_motion_video\\n\\n\\nFIXTURE = Path(\\\"data/free_production_jobs/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.json\\\")\\n\\n\\ndef _jobs() -> dict:\\n    return json.loads(FIXTURE.read_text(encoding=\\\"utf-8\\\"))\\n\\n\\ndef test_local_render_jobs_filters_out_text_only_nvidia_refinement_jobs():\\n    jobs = _jobs()\\n\\n    render_jobs = local_render_jobs(jobs)\\n\\n    assert len(render_jobs) == 5\\n    assert {job[\\\"provider\\\"] for job in render_jobs} <= {\\\"local_renderer\\\", \\\"local_ffmpeg\\\"}\\n    assert all(job[\\\"cost\\\"] == \\\"free\\\" for job in render_jobs)\\n    assert all(job[\\\"provider\\\"] != \\\"free_nvidia_llm\\\" for job in render_jobs)\\n\\n\\ndef test_render_local_motion_video_writes_vertical_mp4_and_metadata(tmp_path):\\n    jobs = _jobs()\\n    output_path = tmp_path / \\\"pilot.mp4\\\"\\n\\n    result = render_local_motion_video(jobs, output_path, width=180, height=320, fps=4)\\n\\n    assert output_path.exists()\\n    assert output_path.stat().st_size > 0\\n    assert result[\\\"output_path\\\"] == output_path\\n    assert result[\\\"video_id\\\"] == \\\"hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann\\\"\\n    assert result[\\\"scene_count\\\"] == 5\\n    assert result[\\\"width\\\"] == 180\\n    assert result[\\\"height\\\"] == 320\\n    assert result[\\\"fps\\\"] == 4\\n    assert result[\\\"paid_credit_providers_used\\\"] == []\\n    assert result[\\\"rendered_duration_seconds\\\"] == sum(job[\\\"duration_seconds\\\"] for job in local_render_jobs(jobs))\\n    assert result[\\\"motion_event_count\\\"] >= result[\\\"scene_count\\\"] * 2\\n    assert result[\\\"metadata_path\\\"].exists()\\n\\n    metadata = json.loads(result[\\\"metadata_path\\\"].read_text(encoding=\\\"utf-8\\\"))\\n    assert metadata[\\\"schema_version\\\"] == \\\"local_motion_render.v1\\\"\\n    assert metadata[\\\"budget_policy\\\"][\\\"paid_video_credits_allowed\\\"] is False\\n    assert metadata[\\\"scene_count\\\"] == 5\\n\"}"}}], "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "tool", "name": "write_file", "content": "{\"bytes_written\": 1868, \"dirs_created\": true, \"lint\": {\"status\": \"ok\", \"output\": \"\"}, \"lsp_diagnostics\": \"LSP diagnostics introduced by this edit:\\n<diagnostics file=\\\"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_local_motion_renderer.py\\\">\\nERROR [4:6] Import \\\"autoshorts.local_motion_renderer\\\" could not be resolved [reportMissingImports] (Pyright)\\n</diagnostics>\"}", "tool_call_id": "call_q47DhHxmqT54q5EQubBd3lI1", "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_U0gsNxTgS7BwW1siS3Z1baTC", "call_id": "call_U0gsNxTgS7BwW1siS3Z1baTC", "response_item_id": "fc_0003bd91189b5fb0016a1185c8444c8191b0c38797fd3b3bfc", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"pytest tests/test_local_motion_renderer.py -q\",\"timeout\":120,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}"}}], "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \"==================================== ERRORS ====================================\\n_____________ ERROR collecting tests/test_local_motion_renderer.py _____________\\nImportError while importing test module '/home/agent/jarvis_runtime/AutoShortsBot/tests/test_local_motion_renderer.py'.\\nHint: make sure your test modules/packages have valid Python names.\\nTraceback:\\n../../.local/share/uv/python/cpython-3.11.15-linux-x86_64-gnu/lib/python3.11/importlib/__init__.py:126: in import_module\\n    return _bootstrap._gcd_import(name[level:], package, level)\\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\ntests/test_local_motion_renderer.py:4: in <module>\\n    from autoshorts.local_motion_renderer import local_render_jobs, render_local_motion_video\\nE   ModuleNotFoundError: No module named 'autoshorts.local_motion_renderer'\\n=========================== short test summary info ============================\\nERROR tests/test_local_motion_renderer.py\\n!!!!!!!!!!!!!!!!!!!! Interrupted: 1 error during collection !!!!!!!!!!!!!!!!!!!!\\n1 error in 0.10s\", \"exit_code\": 2, \"error\": null}", "tool_call_id": "call_U0gsNxTgS7BwW1siS3Z1baTC", "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqEYXQYK8Pxp-x9yV9AEhZ8qbPp9swNvPjFMEIDjn_t60m8c3LyWEZLoOYGlzbNhIbB8YDubEBZQ6hUAwEb33V86bHSYFVYWVP5xvj1BmQ1y4fhVoHv9lHaBhosO77TMdCmQ9WIoqr2Ulwy7LANUoF41KYKWx1kqxwgOLfXPC1U3FeCw3fFhMdYpR7jz9n4EQX9yt2myW5vJcObCxGXaMJlqAF-53DHHR3KwJPhMJs1NTbIzuyrqSkAOjsvwe1hzc23KgflDAE8pmNWTikENemyJLAKAgKqXlCwNb5AtIR9pdZUt1EjKa7omZWT-Bay_6dvV_O8EVYFq2KxdCK0lHSYpS5cDY2by9aTlBCNYW7A85GKRHVCkvv673LoNc3gsc526QiuhT0jqXBSP_M_hRfpT49neEidoy6FpjWQuy9-2SBIlFJG9z2p_wpzXsdnAVuIOm3ydxnTRc2tQME6L9UDYaAX1NuzDAOdhZPiFMRSO2CGQ1H8bLYBMWNiWNywKhMVPbZVg1b96D47Gc4C7zFgVEmtXMj19pEcTC0aQbloPB3omJIO6jQn2506ctAVgbiRU_AVFecJDZJBrxyXCjo2D2TGhX3fi9xJTXJmDbJvP3Wm_J6PSczxEiFvcn2IGAhRt3Wma0e9592Rm6OQ12tiCJxG_JwQbCZ5gEhHSyPq8jXKkh9VCARgI-stQ_LFVCAX9_ADu9nbiV3BWXu7OFlzpnlo7L8qTEaXopDiCKNqZZH-KKWmKLFwjemy64S5NwWdJ7fDeX6lyyVSlWTbwT33d1K0pcBnTUCtQTda5ZbH6lYGvzNR0Uwg0BYoY6hzjjm3Yatjzg2Ke_T_exYVYZBYHX_RJ0VxhTRpRHqH9NXtjRwOdm3xOqyd9fmssGnEmu4oJ9mgVLEDTrsTArtqin53aBkrOS_vOZW3qSSziJG-xxEJYsWmjQy98Y_aFj0fRyIz4NktJgvVQiO20dYGWZB-9BH_QtJZ4HJmdYqPEDtv-Y9P91o7VSvKuu0r-QClXj3tHeI6NAMTM0AHtFasEY_ipB7MCq8DINrEi7jnSn9HKaxaZlg4_lngWTaXDEVKT6LFaQ44RBrw4U2AMVvQRthANG6o38T14N2a36caaruu2aA1wairBDsUfmsvvqIgLmV761R_encNjc0Ex7osfhgiwk8qTumJvxeu0k9oicRhv0bBSTU1SfkUJGptBLOJO6FdwWS9FdUJ0hgpX9pdtuEe_GZx9VNqicoPKP9amJpLAG-F3IpU-IYbx2bn1i48bMKwozMcg0kx0L40DVP5lkhwnMIYUVx3Ivy_YxlPcQYEdKs2zN9tO3tBOMTJQ97nGlPipdf56CoHyR_0vrS7lgMA_n0K2yvtTV13b62LNlqklyx7Ntq_J8rzBAqotSukmF2neaWhuJemPo2zZd0fsawpgLBBLj1YVZs4cGzqvRUMQP6Cv2zImWEmmC01e-illTZ52X11g2spwWJVcWjZ6jPSXQ0eSMsm05ZFdR_LD7VFTKftaMJesEV1IEN4iV6Zd7mHLL7BlQ-Jfd8tsFTPbst0cUGo0-KYj8lpgKdbkodm7f0uQGIXpQ5KQw8mFCSaIdiuaMT3rNzsyfuyxcP-xF5XJvXiNVM48XTayg-RyvuNLBC_jF7b7M6G8i8Bmqecx5hmbyRSjGxH3GyksNC2tU0EO6nV7oqP7FLhw9UVjUbJq-2d9sXzcy5OD5_k24HvYL3A6bgfsjIVXVxjT-8NFzBuv3iYp5CesnvoSKOfwiDnCj8J3of-NrhjmUVEmxcZbwwfdYB3Ebql5tFawQ2ydeo3LlMkM3_qQLgMGwhBOpAru9tjLUIVAqpebPgWssdSwxaX6K7YdTx0Ct375Umxec05fZtx2oO1eSIA4_I3HvV84nyVErh3-r2BM7Z7TdKBP7aHF_Xn0zowmUnBsmLZCrnfXOV2Q667DzboFQ9O2tFZb-bI-Yvr68uum9Z2-rGrUXpv2Lbvf5m68BnjvF-qJKZ436Vtyb6HtsYwudWsY70e9UbnkD12IqUhZswTP7rBF2-nM-jRCUcAAThTlgG3ii3IftFM-M-Czo0OXY4V3XIZ_kCekgd0cDalQo580rssttvcxEo26STjIC6lzgYADsRYHxc2dvkXuKJ3gCe9Y7qErR4YKZpLq5EcBmRAMKjfI1K1yiZDJHAsUolWTOuI7fNbS_obl0vwmLkTTw_WSlDOM1mc5FWMo1X9xKydq8x6Y-vKAyu1uCGJ27YsBKM7HNceFCjFjpwo7SPVZgatoA616o04-GrfZnc-IuHo8iUvmUvi2byJ6JdBMToOlOkbT-VPUA0m_ZqPS4pz6dpaAj2zl5W06FWqnYZL0mYCl3UqBIPEEo-", "id": "rs_0e0b2a73be5cda4b016a1185cbbed08191a470e3771e3f5dd0", "summary": []}], "tool_calls": [{"id": "call_tq3nly8rVkZjPMUtcYEn082V", "call_id": "call_tq3nly8rVkZjPMUtcYEn082V", "response_item_id": "fc_0e0b2a73be5cda4b016a1185d0bda88191a365e1279937fa4f", "type": "function", "function": {"name": "write_file", "arguments": "{\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/local_motion_renderer.py\",\"content\":\"\\\"\\\"\\\"Local/free motion renderer for AutoShortsBot production jobs.\\n\\nThe renderer intentionally uses only local Pillow/FFmpeg drawing and compositing.\\nIt does not call paid video-generation providers. The output is a deterministic\\nmotion prototype: procedural backgrounds, car/mechanism layers, kinetic captions,\\nand beat-synced movement based on the free production job specs.\\n\\\"\\\"\\\"\\n\\nfrom __future__ import annotations\\n\\nimport json\\nimport math\\nimport shutil\\nimport subprocess\\nimport tempfile\\nimport textwrap\\nfrom pathlib import Path\\nfrom typing import Any\\n\\nfrom PIL import Image, ImageDraw, ImageFont\\n\\nPAID_VIDEO_PROVIDERS = {\\\"kling\\\", \\\"hailuo\\\", \\\"runway\\\", \\\"veo\\\", \\\"pika\\\", \\\"luma\\\"}\\nLOCAL_RENDER_PROVIDERS = {\\\"local_renderer\\\", \\\"local_ffmpeg\\\"}\\n\\n\\nPALETTE_BY_MODE = {\\n    \\\"cinematic_ai_video\\\": ((7, 12, 25), (30, 64, 175), (248, 113, 113)),\\n    \\\"mechanism_animation\\\": ((2, 6, 23), (15, 118, 110), (251, 191, 36)),\\n    \\\"kinetic_text_overlay\\\": ((15, 23, 42), (88, 28, 135), (34, 211, 238)),\\n    \\\"screen_recording_simulation\\\": ((8, 13, 28), (14, 116, 144), (96, 165, 250)),\\n    \\\"animated_card\\\": ((17, 24, 39), (120, 53, 15), (251, 146, 60)),\\n}\\n\\n\\ndef _font(size: int, bold: bool = False) -> ImageFont.FreeTypeFont | ImageFont.ImageFont:\\n    candidates = [\\n        \\\"/usr/share/fonts/truetype/dejavu/DejaVuSans-Bold.ttf\\\" if bold else \\\"/usr/share/fonts/truetype/dejavu/DejaVuSans.ttf\\\",\\n        \\\"/usr/share/fonts/truetype/liberation2/LiberationSans-Bold.ttf\\\" if bold else \\\"/usr/share/fonts/truetype/liberation2/LiberationSans-Regular.ttf\\\",\\n    ]\\n    for path in candidates:\\n        if Path(path).exists():\\n            return ImageFont.truetype(path, size=size)\\n    return ImageFont.load_default()\\n\\n\\ndef _wrap(text: str, width_chars: int) -> str:\\n    return \\\"\\\\n\\\".join(textwrap.wrap(\\\" \\\".join(text.split()), width=max(8, width_chars)))\\n\\n\\ndef _gradient(width: int, height: int, start: tuple[int, int, int], end: tuple[int, int, int]) -> Image.Image:\\n    image = Image.new(\\\"RGB\\\", (width, height), start)\\n    draw = ImageDraw.Draw(image)\\n    for y in range(height):\\n        ratio = y / max(1, height - 1)\\n        color = tuple(round(start[i] * (1 - ratio) + end[i] * ratio) for i in range(3))\\n        draw.line([(0, y), (width, y)], fill=color)\\n    return image\\n\\n\\ndef _ease(progress: float) -> float:\\n    progress = min(1.0, max(0.0, progress))\\n    return 0.5 - math.cos(progress * math.pi) / 2\\n\\n\\ndef _draw_caption(draw: ImageDraw.ImageDraw, text: str, width: int, height: int, accent: tuple[int, int, int], pulse: float) -> None:\\n    size = max(22, round(width * (0.062 + 0.014 * pulse)))\\n    font = _font(size, bold=True)\\n    wrapped = _wrap(text, max(12, round(width / (size * 0.52))))\\n    lines = wrapped.splitlines()[:3]\\n    line_boxes = [draw.textbbox((0, 0), line, font=font) for line in lines]\\n    line_heights = [box[3] - box[1] for box in line_boxes]\\n    spacing = max(4, round(size * 0.22))\\n    block_height = sum(line_heights) + spacing * max(0, len(lines) - 1)\\n    pad = round(width * 0.045)\\n    y = height - round(height * 0.21) - block_height // 2\\n    box_top = y - pad\\n    box_bottom = y + block_height + pad\\n    draw.rounded_rectangle(\\n        [round(width * 0.06), box_top, round(width * 0.94), box_bottom],\\n        radius=round(width * 0.035),\\n        fill=(255, 255, 255),\\n        outline=accent,\\n        width=max(2, width // 180),\\n    )\\n    for line, box, line_height in zip(lines, line_boxes, line_heights):\\n        line_width = box[2] - box[0]\\n        draw.text(((width - line_width) // 2, y), line, font=font, fill=(15, 23, 42))\\n        y += line_height + spacing\\n\\n\\ndef _draw_car(draw: ImageDraw.ImageDraw, width: int, height: int, progress: float, accent: tuple[int, int, int]) -> None:\\n    cx = width // 2\\n    cy = round(height * 0.43)\\n    scale = width / 540\\n    bob = round(math.sin(progress * math.tau * 2) * 6 * scale)\\n    car_w = round(width * 0.58)\\n    car_h = round(height * 0.12)\\n    left = cx - car_w // 2\\n    right = cx + car_w // 2\\n    top = cy - car_h // 2 + bob\\n    bottom = cy + car_h // 2 + bob\\n    draw.rounded_rectangle([left, top, right, bottom], radius=round(24 * scale), fill=(226, 232, 240), outline=accent, width=max(2, round(4 * scale)))\\n    cabin = [left + round(car_w * 0.23), top - round(car_h * 0.55), right - round(car_w * 0.25), top + round(car_h * 0.15)]\\n    draw.rounded_rectangle(cabin, radius=round(14 * scale), fill=(148, 163, 184), outline=(226, 232, 240), width=max(1, round(2 * scale)))\\n    wheel_r = round(width * 0.045)\\n    for wx in (left + round(car_w * 0.22), right - round(car_w * 0.22)):\\n        draw.ellipse([wx - wheel_r, bottom - wheel_r, wx + wheel_r, bottom + wheel_r], fill=(2, 6, 23), outline=(248, 250, 252), width=max(2, round(3 * scale)))\\n        angle = progress * math.tau * 3\\n        draw.line([wx, bottom, wx + math.cos(angle) * wheel_r, bottom + math.sin(angle) * wheel_r], fill=accent, width=max(1, round(3 * scale)))\\n    # x-ray scan line and warning pulse\\n    scan_x = left + round(car_w * _ease(progress))\\n    draw.line([(scan_x, top - round(60 * scale)), (scan_x, bottom + round(70 * scale))], fill=accent, width=max(2, round(5 * scale)))\\n    pulse_r = round((30 + 38 * _ease((progress * 2) % 1)) * scale)\\n    draw.ellipse([cx - pulse_r, cy - pulse_r + bob, cx + pulse_r, cy + pulse_r + bob], outline=accent, width=max(1, round(3 * scale)))\\n\\n\\ndef _draw_mechanism_layers(draw: ImageDraw.ImageDraw, width: int, height: int, progress: float, accent: tuple[int, int, int], twist: bool) -> None:\\n    labels = [\\\"Preis\\\", \\\"Reparatur\\\", \\\"Standtage\\\", \\\"Marge\\\", \\\"Liquidität\\\"]\\n    visible = max(1, min(len(labels), math.ceil(progress * len(labels))))\\n    top = round(height * 0.24)\\n    layer_h = round(height * 0.072)\\n    gap = round(height * 0.022)\\n    for index, label in enumerate(labels[:visible]):\\n        p = _ease(min(1.0, max(0.0, progress * len(labels) - index)))\\n        x_offset = round((1 - p) * width * 0.45)\\n        y = top + index * (layer_h + gap)\\n        color = accent if (twist and index == 0) else (226, 232, 240)\\n        fill = (30, 41, 59) if not (twist and index == 0) else (127, 29, 29)\\n        draw.rounded_rectangle(\\n            [round(width * 0.12) + x_offset, y, round(width * 0.88) + x_offset, y + layer_h],\\n            radius=round(width * 0.026),\\n            fill=fill,\\n            outline=color,\\n            width=max(2, width // 180),\\n        )\\n        f = _font(max(14, round(width * 0.046)), bold=True)\\n        draw.text((round(width * 0.17) + x_offset, y + round(layer_h * 0.22)), label, font=f, fill=(248, 250, 252))\\n        meter_w = round(width * 0.24 * p)\\n        draw.rounded_rectangle(\\n            [round(width * 0.58) + x_offset, y + round(layer_h * 0.35), round(width * 0.58) + x_offset + meter_w, y + round(layer_h * 0.63)],\\n            radius=round(width * 0.015),\\n            fill=color,\\n        )\\n    car_y = round(height * 0.72)\\n    draw.line([(round(width * 0.5), top + visible * (layer_h + gap)), (round(width * 0.5), car_y - round(height * 0.05))], fill=accent, width=max(2, width // 160))\\n    _draw_car(draw, width, height, progress, accent)\\n\\n\\ndef _draw_kinetic_words(draw: ImageDraw.ImageDraw, width: int, height: int, text: str, progress: float, accent: tuple[int, int, int]) -> None:\\n    words = text.split()\\n    current = words[: max(1, min(len(words), math.ceil(progress * max(1, len(words)))))]\\n    main = \\\" \\\".join(current[-5:])\\n    size = max(28, round(width * (0.105 + 0.025 * math.sin(progress * math.tau * 3))))\\n    font = _font(size, bold=True)\\n    wrapped = _wrap(main, max(8, round(width / (size * 0.48))))\\n    lines = wrapped.splitlines()[:3]\\n    total_h = 0\\n    boxes = []\\n    for line in lines:\\n        box = draw.textbbox((0, 0), line, font=font)\\n        boxes.append(box)\\n        total_h += box[3] - box[1]\\n    y = height // 2 - total_h // 2\\n    for line, box in zip(lines, boxes):\\n        line_w = box[2] - box[0]\\n        x = (width - line_w) // 2 + round(math.sin(progress * math.tau * 2) * width * 0.025)\\n        draw.text((x + 3, y + 3), line, font=font, fill=(15, 23, 42))\\n        draw.text((x, y), line, font=font, fill=(248, 250, 252))\\n        y += box[3] - box[1] + round(size * 0.18)\\n    glow = round(width * (0.12 + 0.08 * _ease((progress * 3) % 1)))\\n    draw.ellipse([width // 2 - glow, round(height * 0.18) - glow, width // 2 + glow, round(height * 0.18) + glow], outline=accent, width=max(2, width // 140))\\n\\n\\ndef _render_frame(job: dict[str, Any], width: int, height: int, frame_index: int, total_frames: int) -> Image.Image:\\n    mode = job[\\\"asset_mode\\\"]\\n    start, end, accent = PALETTE_BY_MODE.get(mode, PALETTE_BY_MODE[\\\"cinematic_ai_video\\\"])\\n    progress = frame_index / max(1, total_frames - 1)\\n    # simulated handheld push-in: brighten and offset gradient slightly over time\\n    image = _gradient(width, height, start, end)\\n    draw = ImageDraw.Draw(image)\\n\\n    for i in range(9):\\n        y = round((i / 8) * height + math.sin(progress * math.tau + i) * height * 0.014)\\n        draw.line([(0, y), (width, y + round(height * 0.08))], fill=tuple(min(255, c + 16) for c in start), width=max(1, width // 90))\\n\\n    if mode == \\\"mechanism_animation\\\":\\n        _draw_mechanism_layers(draw, width, height, progress, accent, twist=\\\"teuerste Fehler\\\" in job.get(\\\"overlay_text\\\", \\\"\\\"))\\n    elif mode == \\\"kinetic_text_overlay\\\":\\n        _draw_kinetic_words(draw, width, height, job[\\\"overlay_text\\\"], progress, accent)\\n    else:\\n        _draw_car(draw, width, height, progress, accent)\\n        # local parallax objects / risk tags\\n        tag_font = _font(max(12, round(width * 0.038)), bold=True)\\n        for idx, label in enumerate([\\\"-4'000?\\\", \\\"Risiko\\\", \\\"Timing\\\"]):\\n            p = (progress + idx * 0.18) % 1\\n            x = round(width * (0.1 + 0.72 * p))\\n            y = round(height * (0.17 + 0.08 * idx + 0.015 * math.sin(progress * math.tau * 2 + idx)))\\n            draw.rounded_rectangle([x, y, x + round(width * 0.22), y + round(height * 0.045)], radius=round(width * 0.02), fill=(248, 250, 252), outline=accent, width=max(1, width // 220))\\n            draw.text((x + round(width * 0.018), y + round(height * 0.01)), label, font=tag_font, fill=(15, 23, 42))\\n\\n    title_font = _font(max(11, round(width * 0.031)), bold=False)\\n    draw.text((round(width * 0.06), round(height * 0.045)), f\\\"{job['scene_id']} · {mode.replace('_', ' ')}\\\", font=title_font, fill=(226, 232, 240))\\n    _draw_caption(draw, job[\\\"overlay_text\\\"], width, height, accent, _ease((progress * 4) % 1))\\n    return image\\n\\n\\ndef local_render_jobs(production_jobs: dict[str, Any]) -> list[dict[str, Any]]:\\n    \\\"\\\"\\\"Return only executable local render jobs, excluding text-only LLM refinement.\\\"\\\"\\\"\\n    providers = {job[\\\"provider\\\"] for job in production_jobs[\\\"jobs\\\"]}\\n    forbidden = providers & PAID_VIDEO_PROVIDERS\\n    if forbidden:\\n        raise ValueError(f\\\"Paid video providers are forbidden in local render: {sorted(forbidden)}\\\")\\n    return [job for job in production_jobs[\\\"jobs\\\"] if job[\\\"provider\\\"] in LOCAL_RENDER_PROVIDERS]\\n\\n\\ndef _write_frames(render_jobs: list[dict[str, Any]], frame_dir: Path, width: int, height: int, fps: int) -> tuple[int, int]:\\n    frame_dir.mkdir(parents=True, exist_ok=True)\\n    frame_number = 0\\n    motion_events = 0\\n    for job in render_jobs:\\n        scene_frames = max(1, round(float(job[\\\"duration_seconds\\\"]) * fps))\\n        motion_events += max(2, math.ceil(float(job[\\\"duration_seconds\\\"]) / 2))\\n        for local_index in range(scene_frames):\\n            image = _render_frame(job, width, height, local_index, scene_frames)\\n            image.save(frame_dir / f\\\"frame_{frame_number:06d}.png\\\")\\n            frame_number += 1\\n    return frame_number, motion_events\\n\\n\\ndef render_local_motion_video(\\n    production_jobs: dict[str, Any],\\n    output_path: Path,\\n    width: int = 540,\\n    height: int = 960,\\n    fps: int = 24,\\n) -> dict[str, Any]:\\n    \\\"\\\"\\\"Render local/free production jobs into a vertical MP4 and metadata JSON.\\\"\\\"\\\"\\n    ffmpeg = shutil.which(\\\"ffmpeg\\\")\\n    if not ffmpeg:\\n        raise RuntimeError(\\\"ffmpeg is required to render local motion MP4 files\\\")\\n\\n    render_jobs = local_render_jobs(production_jobs)\\n    output_path.parent.mkdir(parents=True, exist_ok=True)\\n    total_duration = sum(float(job[\\\"duration_seconds\\\"]) for job in render_jobs)\\n\\n    with tempfile.TemporaryDirectory(prefix=\\\"autoshorts_local_motion_\\\") as tmp:\\n        frame_dir = Path(tmp) / \\\"frames\\\"\\n        frame_count, motion_event_count = _write_frames(render_jobs, frame_dir, width, height, fps)\\n        command = [\\n            ffmpeg,\\n            \\\"-y\\\",\\n            \\\"-framerate\\\",\\n            str(fps),\\n            \\\"-i\\\",\\n            str(frame_dir / \\\"frame_%06d.png\\\"),\\n            \\\"-vf\\\",\\n            \\\"format=yuv420p\\\",\\n            \\\"-movflags\\\",\\n            \\\"+faststart\\\",\\n            str(output_path),\\n        ]\\n        completed = subprocess.run(command, check=True, capture_output=True, text=True)\\n\\n    metadata_path = output_path.with_suffix(\\\".json\\\")\\n    metadata = {\\n        \\\"schema_version\\\": \\\"local_motion_render.v1\\\",\\n        \\\"video_id\\\": production_jobs[\\\"video\\\"][\\\"id\\\"],\\n        \\\"source_schema_version\\\": production_jobs[\\\"schema_version\\\"],\\n        \\\"output_path\\\": str(output_path),\\n        \\\"width\\\": width,\\n        \\\"height\\\": height,\\n        \\\"fps\\\": fps,\\n        \\\"frame_count\\\": frame_count,\\n        \\\"scene_count\\\": len(render_jobs),\\n        \\\"rendered_duration_seconds\\\": int(total_duration) if total_duration.is_integer() else total_duration,\\n        \\\"motion_event_count\\\": motion_event_count,\\n        \\\"paid_credit_providers_used\\\": [],\\n        \\\"budget_policy\\\": production_jobs[\\\"budget_policy\\\"],\\n        \\\"scenes\\\": [\\n            {\\n                \\\"scene_id\\\": job[\\\"scene_id\\\"],\\n                \\\"asset_mode\\\": job[\\\"asset_mode\\\"],\\n                \\\"provider\\\": job[\\\"provider\\\"],\\n                \\\"execution_mode\\\": job[\\\"execution_mode\\\"],\\n                \\\"duration_seconds\\\": job[\\\"duration_seconds\\\"],\\n                \\\"motion_directive\\\": job[\\\"motion_directive\\\"],\\n            }\\n            for job in render_jobs\\n        ],\\n        \\\"ffmpeg_stderr_tail\\\": completed.stderr[-2000:],\\n    }\\n    metadata_path.write_text(json.dumps(metadata, indent=2, ensure_ascii=False) + \\\"\\\\n\\\", encoding=\\\"utf-8\\\")\\n\\n    return {\\n        \\\"output_path\\\": output_path,\\n        \\\"metadata_path\\\": metadata_path,\\n        \\\"video_id\\\": production_jobs[\\\"video\\\"][\\\"id\\\"],\\n        \\\"width\\\": width,\\n        \\\"height\\\": height,\\n        \\\"fps\\\": fps,\\n        \\\"frame_count\\\": frame_count,\\n        \\\"scene_count\\\": len(render_jobs),\\n        \\\"rendered_duration_seconds\\\": metadata[\\\"rendered_duration_seconds\\\"],\\n        \\\"motion_event_count\\\": motion_event_count,\\n        \\\"paid_credit_providers_used\\\": [],\\n    }\\n\"}"}}], "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "tool", "name": "write_file", "content": "{\"bytes_written\": 14534, \"dirs_created\": true, \"lint\": {\"status\": \"ok\", \"output\": \"\"}, \"lsp_diagnostics\": \"LSP diagnostics introduced by this edit:\\n<diagnostics file=\\\"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/local_motion_renderer.py\\\">\\nERROR [275:76] Cannot access attribute \\\"is_integer\\\" for class \\\"Literal[0]\\\"\\n  Attribute \\\"is_integer\\\" is unknown [reportAttributeAccessIssue] (Pyright)\\n</diagnostics>\"}", "tool_call_id": "call_tq3nly8rVkZjPMUtcYEn082V", "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "assistant", "content": "", "reasoning": "**Fixing typing errors**\n\nI need to fix my typing — maybe I should set `total_duration` to 0.0. It feels really straightforward, but I want to make sure I'm doing it correctly. I'll have to come back to this later and run some tests to ensure everything works smoothly. It’s important for me to double-check that I’ve set everything up right, so I don’t miss anything crucial. Alright, I'll keep this in mind!", "finish_reason": "tool_calls", "reasoning_content": "**Fixing typing errors**\n\nI need to fix my typing — maybe I should set `total_duration` to 0.0. It feels really straightforward, but I want to make sure I'm doing it correctly. I'll have to come back to this later and run some tests to ensure everything works smoothly. It’s important for me to double-check that I’ve set everything up right, so I don’t miss anything crucial. Alright, I'll keep this in mind!", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqEYYqCkQMOot_V-b-sUof_MEymR9h0tNbOCA7tBcvlm5u5hx3g8jNWokLLFJj_dqouHck5ya-6HQrkkqsHdHz5uD6fgk1ZPMIZEALrpKRwWoqXUal_Z4JT8lkadhOfJVTyXSg9uCbB8SGmsLFtUvIZ4KOoukyDCGtaBe8SjCvfamyQClR-ssWRrdoh1BvkFR237YzQ_SFozD1kyWNZjmw3t9zo-qHRY6_YDFEidQc5pAUO175HR-jCKQ22Iliys_9BU1s2Tbk8uO4grrsRZqBgMTrXwgx94ROBrBQfIz5wQAxyt6Z81gsTsotSNV0P1-oCJpDuu8nAxRieQJYGgKFUzYB37bhCADBpNWfqaKJkxG4OEWbHErnatcpKYS1u2gnWo8p6p6KNX9kTvYiVf6veZCtUZ39Od1oN-IKxVtaJrUwvh40Z-p0kKAvxkc9KhHEl_IJ4Xw4ri1JBY8lqVkpRT0pwz9by_2JpSrZVzAXTun6EVqKpFhNiYrYKfv0dLHsQKLSHGUP2SPhmC0K80vn4grL3aeJocJ88SlE4eULgGdgscIddR-OKWRInEo9hX3cjpD0vPMM3O9JOWuGtJ2Up0YcgrN-tx7Er6HKoiglRSi1n4sJ10SWf6jdmvR_H1o8FAJzfZ4qU7bnDQ8F0a7HkCRZkgmWvMbxQEUG5ZQ9lJtVHRT4pqTwWU-5iTwrvzPvJr2n1ks1IE5RIbLhrWEy7JA7yY5k98b7THLbqEKzBl93CkVwftyVhSrxRO1QMUd7n4LjBuOR1tSD0m32BC4iza1KQjkmZh61B2Y-Kex_4WhO0AjJR3_zLJ1mJ0b2RdW0PyNiYr8hv5h-O06eYDQMbsWXLOKZCixUHYzUQbd38EmHVRfHjWYGqPmS9XUOyBoNbpt8FRyCVZP9hQdfUTDKZIktKU1r818R7wi2fZz3qbHZ33XbdVxdCVXYR3IMrapb_rnpvPnU-MLUYKJb6doOl5BffjV0gltweE2aoqd1vRnqkV8=", "id": "rs_0d4cfd6af339670e016a1186281b80819180633b7960bfcb41", "summary": [{"type": "summary_text", "text": "**Fixing typing errors**\n\nI need to fix my typing — maybe I should set `total_duration` to 0.0. It feels really straightforward, but I want to make sure I'm doing it correctly. I'll have to come back to this later and run some tests to ensure everything works smoothly. It’s important for me to double-check that I’ve set everything up right, so I don’t miss anything crucial. Alright, I'll keep this in mind!"}]}], "tool_calls": [{"id": "call_b4Qe4BGvJl5ykqwvZo4qhE6m", "call_id": "call_b4Qe4BGvJl5ykqwvZo4qhE6m", "response_item_id": "fc_0d4cfd6af339670e016a11862a46cc8191b47ff0875267d0f9", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"pytest tests/test_local_motion_renderer.py -q\",\"timeout\":180,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}"}}], "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \"..                                                                       [100%]\\n2 passed in 0.98s\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_b4Qe4BGvJl5ykqwvZo4qhE6m", "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "assistant", "content": "", "reasoning": "**Fixing LSP issues**\n\nI need to fix the LSP, and I’m wondering if maybe pyright isn’t included in the tests. I should consider creating a patch. For the total_duration, I’ll use: total_duration: float = sum(..., 0.0). I think it might also be a good idea to create a script for this. It will help ensure everything runs smoothly. I want to get this right, so I'll take my time to sort it out!", "finish_reason": "tool_calls", "reasoning_content": "**Fixing LSP issues**\n\nI need to fix the LSP, and I’m wondering if maybe pyright isn’t included in the tests. I should consider creating a patch. For the total_duration, I’ll use: total_duration: float = sum(..., 0.0). I think it might also be a good idea to create a script for this. It will help ensure everything runs smoothly. I want to get this right, so I'll take my time to sort it out!", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqEYYwAWi3bE9JOEadV32Q60SdWcn2hxM4IeLkMocUUF4Ir4aFEyP7OuuZTTcqUPnq2M6WJCfvcJccKNsdHe8QvG3IN4jvcxlD5fSUfelMYH7sTIrKQ7nUpUEtv86QHWBbkrV4rLhHebqbHGMtDzZGf_8L5Je3XtDMdcnCYB74Z2_VZReRobLFsVlGWrZflCoCaZqDlvr8xGX8ZnSSVBtw5YMIMsNMdEjSpDRS-uQ-260_B5AXBt_1lvebN697RL1A4F1AVHviX55byPPx17DkDYQxbkpPPE3u4g-WiAApqVoILIeVs73TTUtYhENAXRhlPN4adPXb5LQRtevpNZqu-xJL_dZH9XedsmKf01djXpHgzPg3ccILBcpq3HhFB6uzUDMXx9vQHkSOn7qw4v6kXvqtAIA0iP3fZ08O3XECsvxWv66F1AHXOkQfYtzPAnVaQJHkc8K8TNp1SAEc3neb7vw-EsC8uKgup9Pk1Qn6yfM_0vHiT_cUzJIRYb9p5wfkUYQMwWomPl3LMZ_YjW44iiigM1A6IwV9Lvl3Mzosi3BI1Li58-nWFe_T7NDitlYaz4KuSB4hSwGwpHW_p9rdIagHgrSEUZfLJGZJnlAmj3yexo7WewO8vY3nTYVq9PPGv_rKcZHnFiI-nibInX9a65DHsrKYVu1oyZfUjfMAQVHmPNR6SJwvBauBMMW4mozPQkRDa_MHSbJbvNlnShCxyrLpZ_Ch78p25Ckxv2tk7xlQBNNrNGBbr3-Ol1lDcRDldFq6j5Wspcw9C8IaQEm9o9nOEeDHcRD6CVlT79kaPXHAwpEBhn8CiMKs3HBsI0vMRc8bOknqSk4qreXYmHfgAsdDyPUu0rj3Seo-sLorwE0E-gcxyP4jV2ygbyLvu5mntKLJD2IJ4yJYNR-490bld1f2pOCX9PLw2rArKIoRuGK1jSWUV1_TSpYiUkr7M2i1HAmwdFW3KxqW4jRBaZHKGtyrpGgARv6rVXI7bAUNPDI5i2PJ0GjVvDeGfBJbKAAMrH0OriLXxiYKQW4twcaOjoBZzfnr_QiwqfiGkNZT8oaKIgA=", "id": "rs_0a0ef89447c136e0016a11862d9e148191b7e96b624f8efc51", "summary": [{"type": "summary_text", "text": "**Fixing LSP issues**\n\nI need to fix the LSP, and I’m wondering if maybe pyright isn’t included in the tests. I should consider creating a patch. For the total_duration, I’ll use: total_duration: float = sum(..., 0.0). I think it might also be a good idea to create a script for this. It will help ensure everything runs smoothly. I want to get this right, so I'll take my time to sort it out!"}]}], "tool_calls": [{"id": "call_ECR7G1qtMo1rSdTmN4yujNXU", "call_id": "call_ECR7G1qtMo1rSdTmN4yujNXU", "response_item_id": "fc_0a0ef89447c136e0016a1186307b288191860af84735ea25ca", "type": "function", "function": {"name": "patch", "arguments": "{\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/local_motion_renderer.py\",\"old_string\":\"    render_jobs = local_render_jobs(production_jobs)\\n    output_path.parent.mkdir(parents=True, exist_ok=True)\\n    total_duration = sum(float(job[\\\"duration_seconds\\\"]) for job in render_jobs)\\n\",\"new_string\":\"    render_jobs = local_render_jobs(production_jobs)\\n    output_path.parent.mkdir(parents=True, exist_ok=True)\\n    total_duration: float = sum((float(job[\\\"duration_seconds\\\"]) for job in render_jobs), 0.0)\\n\"}"}}], "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/agent/jarvis_runtime/AutoShortsBot/autoshorts/local_motion_renderer.py\\n+++ b//home/agent/jarvis_runtime/AutoShortsBot/autoshorts/local_motion_renderer.py\\n@@ -241,7 +241,7 @@\\n \\n     render_jobs = local_render_jobs(production_jobs)\\n     output_path.parent.mkdir(parents=True, exist_ok=True)\\n-    total_duration = sum(float(job[\\\"duration_seconds\\\"]) for job in render_jobs)\\n+    total_duration: float = sum((float(job[\\\"duration_seconds\\\"]) for job in render_jobs), 0.0)\\n \\n     with tempfile.TemporaryDirectory(prefix=\\\"autoshorts_local_motion_\\\") as tmp:\\n         frame_dir = Path(tmp) / \\\"frames\\\"\\n\", \"files_modified\": [\"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/local_motion_renderer.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_ECR7G1qtMo1rSdTmN4yujNXU", "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_4SlPm1FJI7NrFZuspuOUNrkI", "call_id": "call_4SlPm1FJI7NrFZuspuOUNrkI", "response_item_id": "fc_00df89411b4af195016a118635911881918229cb9d7a92993c", "type": "function", "function": {"name": "write_file", "arguments": "{\"content\":\"\\\"\\\"\\\"Render free production job specs with the local motion renderer.\\\"\\\"\\\"\\n\\nfrom __future__ import annotations\\n\\nimport argparse\\nimport json\\nimport sys\\nfrom pathlib import Path\\n\\nPROJECT_ROOT = Path(__file__).resolve().parents[1]\\nif str(PROJECT_ROOT) not in sys.path:\\n    sys.path.insert(0, str(PROJECT_ROOT))\\n\\nfrom autoshorts.local_motion_renderer import render_local_motion_video\\n\\n\\ndef _default_output_path(jobs: dict, output_dir: Path) -> Path:\\n    return output_dir / f\\\"{jobs['video']['id']}.mp4\\\"\\n\\n\\ndef main() -> None:\\n    parser = argparse.ArgumentParser(description=\\\"Render free/local motion MP4 from production jobs.\\\")\\n    parser.add_argument(\\n        \\\"--jobs\\\",\\n        default=\\\"data/free_production_jobs/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.json\\\",\\n        help=\\\"Path to a free production jobs JSON file.\\\",\\n    )\\n    parser.add_argument(\\\"--out-dir\\\", default=\\\"data/local_motion_renders/mechanism_pilots\\\")\\n    parser.add_argument(\\\"--output\\\", default=None, help=\\\"Optional exact MP4 output path.\\\")\\n    parser.add_argument(\\\"--width\\\", type=int, default=540)\\n    parser.add_argument(\\\"--height\\\", type=int, default=960)\\n    parser.add_argument(\\\"--fps\\\", type=int, default=24)\\n    args = parser.parse_args()\\n\\n    jobs_path = Path(args.jobs)\\n    jobs = json.loads(jobs_path.read_text(encoding=\\\"utf-8\\\"))\\n    output_path = Path(args.output) if args.output else _default_output_path(jobs, Path(args.out_dir))\\n    result = render_local_motion_video(jobs, output_path, width=args.width, height=args.height, fps=args.fps)\\n\\n    print(f\\\"Rendered local motion video: {result['output_path']}\\\")\\n    print(f\\\"Metadata: {result['metadata_path']}\\\")\\n    print(f\\\"Scenes: {result['scene_count']} | duration: {result['rendered_duration_seconds']}s | fps: {result['fps']}\\\")\\n\\n\\nif __name__ == \\\"__main__\\\":\\n    main()\\n\",\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/scripts/render_free_local_motion.py\"}"}}], "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "tool", "name": "write_file", "content": "{\"bytes_written\": 1824, \"dirs_created\": true, \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_4SlPm1FJI7NrFZuspuOUNrkI", "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_butWu8iMCJSmd6N9lbTY7lIR", "call_id": "call_butWu8iMCJSmd6N9lbTY7lIR", "response_item_id": "fc_04d5d8fd7c225b61016a1186423b1081918f774d95725fc0eb", "type": "function", "function": {"name": "todo", "arguments": "{\"merge\":true,\"todos\":[{\"content\":\"TDD für Local Motion Renderer v1 schreiben und RED verifizieren\",\"id\":\"tdd\",\"status\":\"completed\"},{\"content\":\"Local Motion Renderer v1 implementieren und Pilot-MP4 rendern\",\"id\":\"implement\",\"status\":\"in_progress\"}]}"}}], "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "tool", "name": "todo", "content": "{\"todos\": [{\"id\": \"inspect\", \"content\": \"Repo-Zustand und vorhandene Free-Production-Pipeline prüfen\", \"status\": \"completed\"}, {\"id\": \"tdd\", \"content\": \"TDD für Local Motion Renderer v1 schreiben und RED verifizieren\", \"status\": \"completed\"}, {\"id\": \"implement\", \"content\": \"Local Motion Renderer v1 implementieren und Pilot-MP4 rendern\", \"status\": \"in_progress\"}, {\"id\": \"verify\", \"content\": \"Tests, ffprobe und Git-Status/Commit/Push verifizieren\", \"status\": \"pending\"}], \"summary\": {\"total\": 4, \"pending\": 1, \"in_progress\": 1, \"completed\": 2, \"cancelled\": 0}}", "tool_call_id": "call_butWu8iMCJSmd6N9lbTY7lIR", "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "assistant", "content": "", "reasoning": "**Examining test requirements**\n\nI need to ensure that tests in local_renderer check if \"metadata duration matches video duration_ms.\" If there's a mismatch, the test could fail, but it doesn’t always stem from production jobs. I should fix asset_plan _duration_seconds to return the exact item duration as a float for mechanism pilots. There's an existing test that expects values to be less than or equal to 6 for generic top3, which might break for scene 03 with a duration of 13 seconds. Let's analyze the test_asset_plan line further.", "finish_reason": "tool_calls", "reasoning_content": "**Examining test requirements**\n\nI need to ensure that tests in local_renderer check if \"metadata duration matches video duration_ms.\" If there's a mismatch, the test could fail, but it doesn’t always stem from production jobs. I should fix asset_plan _duration_seconds to return the exact item duration as a float for mechanism pilots. There's an existing test that expects values to be less than or equal to 6 for generic top3, which might break for scene 03 with a duration of 13 seconds. Let's analyze the test_asset_plan line further.", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqEYZL2CZ2cTwPMMoG80pJZZJSgB3MkfKX9NKH4JtNolEotdJUc9ATR-uIMsznd--zjTckWWbMVehQpqbsqGjs6lhqajN8MzID5R9AZrCRdA2AWHpApMxTsyasbG23aA8Ay6ltAJyXKyO_9dywR6EUMQR2tUlWprGXdPKO_oWbz-wHtO-1HusTXe2hH9SW8VJ11Ogfxab2xDiOp3vVEMoPVJiwgWG2Hhm-nCN016qIsKjaMAFNTY8UCYbiPB2x88CnJxhrPakqyKG6_w5Fl0hnx7X4nLlFyxXWMhWnrUQfClgut41lycbxlAW79njLxy5xJZueOuDUtHaRvlNnaFdHwdrtNqhZbVNayQh1EmOThOKWqkGwJQIz9rrijCpNIulLTOO6YtjUy052Xo0i58uXeMUyrhHq4x7j80zUtRo23Bcot6LaFs_BDONL_XSEvO_yBGWkYsIcx3Ix0Xa5fvPWJ1dLEC6WbaTZ6qOkRxAsecn_STJkEydKfkbR8mNuR5_HnJxcrljUuKFzSwhM8h2q7BwF8EN1yvPxG3Jy7vw-LPceeRkvBj6HHKPbvMRbKFHOnMFM5UPY5dkyb4RnAmFmL35Jw7EOtXpbtHHt4Rts4_WoSOjF8bs8B80UqXpyNEpxF5E5YRNNd0dLfvaYqvJ_Wk5rDdGML9mIaTLplbuXAT6UcE3Vz5HIKtZVcxYSJqsN5S9yGU0M-StbGUkkOE7SjFCU_P3mqtbcghhuXTOQFfIn_b6ayQmYCQ958vxkPcuFrqZ3WLxPX6UJE_GeOU7OUS1cPEsVcrJ9q1i_1IeOdHQ8FOAllua5YpCW3RWdiZnixfaHN7J_r4MsaiwYuhsac6JFSjkB4GIGG-RiRRgCFUpIpeID7Y3ZkM5EQdM2-PG5WdDm1ihKZuJ-i2ObsWraxgJCnTLcaFg9Ji0hyvMVdpYEWoDHnkf0ks5wZkiR7UCXXExilpyQO-CtvmB7fJ4QI7KZZI6zH9AKd5OsyVuMQs7ra1u4XgF2KLL4Qhz5Yj2PgsuuMQBXKA_365MNbXtHZBmcTO2GOsNLbohOJEvtyarU5ZxL4nQwxcmQaR3m2o_INvNerjjr3A0amgGu8f9TxDAq9b2RFAgtn6C3OY_Vax7jrMPVqB8pwH3mvz4LZnaGHA0Cm_gnXdnh-NqhlnZHStaesfH7NHn3dEXEHT6jDf25DJOgkFuNvRIjScy4hoxYasCWq6j85scMSxn3RSFwVWEg8kHxG4K90hIZl9XgD67w6wBt1hDMipk8irgSMo7UQH3LsRiiiS3VcSrp_x4vHNO0Rg7SmhYtQka1QX6rSu5x7MW8j2sxnG1SMCft1DwV45tqTOfB6ksvosJFMj5QULx2ZSwdhUHMU4GpYN2eOaX7WEOGlp992VY4T84Enm5tf-Df2GfFbh8VcCo6_4cnCy8EVr8yla-FsKNx5_ryOMJdKCDBoyPnjXYmBSm6D41oqCEVvVDi4W-IjEyWEjxwUUfSf6Udq4IBO-YQOwCYpC0w0MlV3Colz26z8mjZjePkDU-1BFxfFzTvXr101MwUlUVy26QzJQO1GOoZDD_mlASZROGJhr0_V7MewI40aTvpvmlHJMy2akBbjvxhjUbjUaJUJHeFqpT5dn_1mM3llEth_P3QJw_R79Hcf0FjpZGEkc7pd59TPPDB0sSAmJLeNrFJAjIt7enL26zyrxAM7HZC8arIU5QPSQ0u61L6j2c5POn_4-hS2Igxx656JvX_Xq2KyRkuz0eDCbNv3VkuhenqDb-S7LTGQa0m1fUNs4cUbIAs21inO5gYt58Bt5E-rNv_LEllx-t995Rg557JhcjiibsUqumw01FB--rAEri_QDSzgZ_DfT_2eCdhBqvP8mlp8DVNofGw26Nc4LKStdinSIOxO8YYVfg5ZFvYFKPOynyL5WzWw-GpoO8YvXB0MgjXYo9WDXcpjbH1j0MYFQotWRmfWlYsRqKlYZUYfIv-Fl3FN2Ujrk-TPXAKXpdvoXERq-4sm1MihO2JY63_ynbjwG2SW_R6vZmEuYLADGrajOFTTi33KTntZY4yJSlTNM-__n6M3vQjNsoZ_wT6jvTN6JXTxmD-9Jsxj6fhIJ_ZPKSBEjO0AHv62kg3uvMME4_wvgfbi5pEqREnGCfeASXRr4ICVWSZtqQw3IMxuBkw1jmONnhken4-cGc2fT_MKaDexpHJibIdEF-nKxhU_mg3Yt2CqU-k2rvNGvEv5PayBFXulgX4gq4ewJwaj2g4FIOSforJEWkhW9oXsqW_eJRP6A-FwAU0dkw_cKv15K3eNgrib9EBAwjjZd2yqUtbz2majHZStEqx2jmYex1QP-HD5TIA_kKTGOssGidZlLUHmXjvtuAHEYC59Hr_sTBkCeLuUSaKdMsrfS_n9Eco4ZpzJfwEc5ByCNY3MPUKH_c_EYbtmlAej1BXfBeYFqkSaO57dYUhYV_CHAKTv3OdNs2UQ1xNml5A7BGQ2ad_QYXTIK8LLV-67DzmEoOzP_Au6Hp1d-QE1DYhJM6yW1YZk7sfzc5zOn_lwkV6VbpYXr_ttfjP", "id": "rs_00b858ba588803c7016a118644d6bc8191a8eda41f396c5d6f", "summary": [{"type": "summary_text", "text": "**Examining test requirements**\n\nI need to ensure that tests in local_renderer check if \"metadata duration matches video duration_ms.\" If there's a mismatch, the test could fail, but it doesn’t always stem from production jobs. I should fix asset_plan _duration_seconds to return the exact item duration as a float for mechanism pilots. There's an existing test that expects values to be less than or equal to 6 for generic top3, which might break for scene 03 with a duration of 13 seconds. Let's analyze the test_asset_plan line further."}]}], "tool_calls": [{"id": "call_bW36Y6aL7npIP3S89ND37FNS", "call_id": "call_bW36Y6aL7npIP3S89ND37FNS", "response_item_id": "fc_00b858ba588803c7016a11864b32b48191aa930ccd2f539b07", "type": "function", "function": {"name": "read_file", "arguments": "{\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_asset_plan.py\",\"limit\":180}"}}], "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "tool", "name": "read_file", "content": "{\"content\": \"     1|import json\\n     2|from pathlib import Path\\n     3|\\n     4|from autoshorts.asset_plan import build_asset_plan, write_asset_plans\\n     5|from autoshorts.mechanism_pipeline import build_mechanism_shot_plan\\n     6|from autoshorts.render_manifest import build_render_manifest\\n     7|from autoshorts.retention_studio import PILOT_IDEAS, build_mechanism_explainer\\n     8|\\n     9|\\n    10|def _manifest(name: str = \\\"ai-004-stop-asking-ai-to-think-for-you\\\") -> dict:\\n    11|    path = Path(\\\"data/render_manifests/testbatch_002_top3\\\") / f\\\"{name}.json\\\"\\n    12|    return json.loads(path.read_text(encoding=\\\"utf-8\\\"))\\n    13|\\n    14|\\n    15|def test_build_asset_plan_replaces_static_cards_with_moving_asset_modes():\\n    16|    manifest = _manifest()\\n    17|\\n    18|    plan = build_asset_plan(manifest)\\n    19|\\n    20|    assert plan[\\\"schema_version\\\"] == \\\"asset_plan.v2\\\"\\n    21|    assert plan[\\\"video\\\"][\\\"id\\\"] == \\\"ai-004\\\"\\n    22|    assert len(plan[\\\"scenes\\\"]) == 5\\n    23|    modes = [scene[\\\"asset_mode\\\"] for scene in plan[\\\"scenes\\\"]]\\n    24|    assert \\\"cinematic_ai_video\\\" in modes\\n    25|    assert \\\"screen_recording_simulation\\\" in modes\\n    26|    assert \\\"kinetic_text_overlay\\\" in modes\\n    27|    assert \\\"static_card\\\" not in modes\\n    28|    assert all(scene[\\\"motion_directive\\\"] for scene in plan[\\\"scenes\\\"])\\n    29|    assert all(scene[\\\"overlay_text\\\"] for scene in plan[\\\"scenes\\\"])\\n    30|\\n    31|\\n    32|def test_cinematic_ai_video_scenes_have_provider_ready_prompts_without_baked_text():\\n    33|    manifest = _manifest()\\n    34|\\n    35|    plan = build_asset_plan(manifest)\\n    36|\\n    37|    cinematic = [scene for scene in plan[\\\"scenes\\\"] if scene[\\\"asset_mode\\\"] == \\\"cinematic_ai_video\\\"]\\n    38|    assert cinematic\\n    39|    for scene in cinematic:\\n    40|        prompt = scene[\\\"generation_prompt\\\"]\\n    41|        assert scene[\\\"provider_family\\\"] == \\\"local_free_renderer\\\"\\n    42|        assert scene[\\\"no_text_in_video\\\"] is True\\n    43|        assert \\\"cinematic-looking\\\" in prompt.lower()\\n    44|        assert \\\"vertical 9:16\\\" in prompt.lower()\\n    45|        assert \\\"paid ai-video credits\\\" in prompt.lower()\\n    46|        assert \\\"no readable text\\\" in scene[\\\"negative_prompt\\\"].lower()\\n    47|        assert scene[\\\"duration_seconds\\\"] >= 3\\n    48|        assert scene[\\\"duration_seconds\\\"] <= 6\\n    49|\\n    50|\\n    51|def test_attention_design_asset_plan_uses_broll_and_screen_recording_not_text_slideshow():\\n    52|    manifest = _manifest(\\\"attention-002-the-algorithm-does-not-need-you-happy\\\")\\n    53|\\n    54|    plan = build_asset_plan(manifest)\\n    55|\\n    56|    modes = [scene[\\\"asset_mode\\\"] for scene in plan[\\\"scenes\\\"]]\\n    57|    assert \\\"cinematic_ai_video\\\" in modes\\n    58|    assert \\\"screen_recording_simulation\\\" in modes\\n    59|    assert \\\"animated_card\\\" in modes\\n    60|    assert modes.count(\\\"kinetic_text_overlay\\\") <= 2\\n    61|    assert plan[\\\"final_render_strategy\\\"][\\\"static_card_limit\\\"] == 0\\n    62|\\n    63|\\n    64|def test_write_asset_plans_outputs_json_files(tmp_path):\\n    65|    manifests = [_manifest(), _manifest(\\\"attention-002-the-algorithm-does-not-need-you-happy\\\")]\\n    66|\\n    67|    paths = write_asset_plans(manifests, tmp_path)\\n    68|\\n    69|    assert len(paths) == 2\\n    70|    assert all(path.suffix == \\\".json\\\" for path in paths)\\n    71|    payload = json.loads(paths[0].read_text(encoding=\\\"utf-8\\\"))\\n    72|    assert payload[\\\"schema_version\\\"] == \\\"asset_plan.v2\\\"\\n    73|    assert payload[\\\"scenes\\\"][0][\\\"scene_id\\\"] == \\\"scene_01\\\"\\n    74|\\n    75|\\n    76|def test_asset_plan_maps_mechanism_manifest_to_motion_explainer_modes():\\n    77|    explainer = build_mechanism_explainer(PILOT_IDEAS[0])\\n    78|    manifest = build_render_manifest(build_mechanism_shot_plan(explainer))\\n    79|\\n    80|    plan = build_asset_plan(manifest)\\n    81|\\n    82|    modes = [scene[\\\"asset_mode\\\"] for scene in plan[\\\"scenes\\\"]]\\n    83|    assert modes == [\\n    84|        \\\"cinematic_ai_video\\\",\\n    85|        \\\"cinematic_ai_video\\\",\\n    86|        \\\"mechanism_animation\\\",\\n    87|        \\\"mechanism_animation\\\",\\n    88|        \\\"kinetic_text_overlay\\\",\\n    89|    ]\\n    90|    assert plan[\\\"final_render_strategy\\\"][\\\"preferred_mix\\\"][\\\"mechanism_animation\\\"] == 2\\n    91|    mechanism_scene = plan[\\\"scenes\\\"][2]\\n    92|    assert mechanism_scene[\\\"provider_family\\\"] == \\\"local_free_renderer\\\"\\n    93|    assert \\\"Röntgen\\\" in mechanism_scene[\\\"generation_prompt\\\"] or \\\"x-ray\\\" in mechanism_scene[\\\"generation_prompt\\\"]\\n    94|\", \"total_lines\": 93, \"file_size\": 3747, \"truncated\": false, \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_bW36Y6aL7npIP3S89ND37FNS", "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "assistant", "content": "", "reasoning": "**Evaluating item properties**\n\nI’m thinking that if an item has \"start_ms\" and \"duration_ms,\" I should just return that exact float. However, there might be an issue where older cinematic formats could break if the values exceed 6. So, I want to take a closer look at scene durations in ai-004—could it be something like 5, 8, or 10? That could help clarify how to approach this without causing any issues.", "finish_reason": "tool_calls", "reasoning_content": "**Evaluating item properties**\n\nI’m thinking that if an item has \"start_ms\" and \"duration_ms,\" I should just return that exact float. However, there might be an issue where older cinematic formats could break if the values exceed 6. So, I want to take a closer look at scene durations in ai-004—could it be something like 5, 8, or 10? That could help clarify how to approach this without causing any issues.", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqEYZVGFj_27TKKfHNIk6mu7dskg6-dgion5XXvxj1GAFqmwrJq1Xx-mws4-rf2J-gAEy_UO-SFK-PXErSXIIx36qhainwgJkBYZy3RQPZnXJXOs-B1Bh6IL9mL7VWxAAh4WuJdLpZOjo9xPCzhP57tDF-sUrJ8u_WzniYr-2bIIGdMtGKY-oIDRIj9Aj7kgsSN4xPVglrzC2apc4-W4qr1uR31KftLdSPtxjzTH0yhBtK7LhPZ_uyaqozQRnzn1SodnHY0XzUerjsUA9a8hF2QBzhbjfNIHSrecs-osgzvRWkQLtr1uepoBPxoqTy8vOMvvvW_YtPS4au93n53wazzoMjfj-JsZBzPd_Bgf55xL_lqYIjL1GoSXRiZeeC7pkQU_nGq_83NmgTwvJakIOYgikGGfP7yGarKF-pBJVLXKxMenaRuU_C97PVAjZ6jvJMI5SSvncnSYV4j8YUrH7VffO0DDVk6V2J_RaQEQ3Q5o4EM6gTHugq1cG1EUpXp7gfN17QsPJ0xIzneZT8FDkfimzRBUzNQaHYE88c5YTwpK6f4fj1SxUtn3XBskcVOKOTNLu7EjblcnaufWyqnBP5wNdLEwxqP3F7JWHI7D0C9sIlF3j4-23JZ-yRsa7dkXReKkEcn4wxa3UzlqWgbPpM-zTBWjCOPFErAlaHsRuOWpkmD_I9KO4tZkkAHwdDxXAXos7nQedjliBkRAUFUednR-QMlcVXOq_sw0M6pp8mrpfJ-4YP81y3QGyX-OhMVYqVFr7Tjg_oIOAPhQSbyWX0MQdQegF3TlDVQjDFMqEM_p1tUMifrTIDhZuQBBFz37N_o1SUm2-S6x8bi7JObHr8rOCYWp-Dyy-n5ZtIT6e-E0xyPoRySxyjpvH-B-MPzVLmbamw0yKtCA7rAzVm78nHuiUf6BydM1dSJFa5sVLDJunF_11iLtyYw-QYJ1MheA8yLd-lH5fdZct2xpA8XUCA7Q7wrDoR_MiprahVOsmYNBaq5yNKcKbedhdC1IDu5xBrOGYyukWR9Mb3bAYaFfSl0yWzpUTvr0cHpWMPNxHuNfPg9TUQllorI2KG1g7127mz6-o_p0Jvzpi0Zr03Pkkq81_FpCVJZs1RhnRKxxeGsTedYYb8gQImrzshj4qX7_d8McZad5rGfCsgtF92gsjmgZE7nT35k07oe6uyxhRk_R3b6VoMd1w0POhry4tYi6i2KDVepURzFxUTQgi2OBbfvUC1mCZDgo8vZ0uXaqmGM5jo1qktBdX346-KfIXvcZ0dxU8RgGgZRZUMkuich2mfidQegMe9A4gHwP7OBDVHhRULxFopdr1W3SmvobkxbThp6meXctTH7ThD_k4viSEqG0l593tcaNUhZcCyv9M-qPUeSudlqh2P-pZ10kJELqC6qK1KaMlsSdLGGDmBo9H1wW7yAVgfEdSP7KxM8zoropcETc6C2X4j0prFyQ6SFQidE2BUn88rAdbVsSzwud4fm7umqHTMOhax0mZ2clImcTlJRC3KlTh-b785cL3D5-MiypJTpBI0n_zoWAUMPIhBqDetQR7wQ262k4SE3O7Y2WcLwLLm_NR7M4k0m_cQiN5_y6dFfViMG1GcefLtFx6KU_Nf43cGVrWuTkYlVNm4IZw4scM3DJ_fwHJpdUNGELtTMwWuxzyMsfKAuLwwPDZPH-aZlM0K3wAC3FQIPC_ueTUqlGdJAqTviHHnsVuQYtrlIa9Kob40FCgyBHtz2eSY_02wO4dF8uMZ2-ugjTaItHUtwlMUOn0K-hvxeyWNAHOQMU0q6QuNVQySRjtVU9k-xK_3pU5pllCnVoh88f8gWPmzEJF7I9VrSVz8bYUU_Jho1078Cpx-pqJynYNzje8o8ZqPf3MbTc5ZS_DhwawehUleBuyoOheee0pmQASkhsnRE0oGhjpKBYOewIiBX5wo1MI_Enyo3CY7IGupTWplrEOcYu3pLwIiw-dqwbt8UOZ3D37VPGxM_NwH7ZQRosoglMIvfFJlYfMLFMa5u8xxeMQMiaVRwlcfh3klo7yCltXCCT-3ePLkt9WAtiLx_jIozA4kunRSFiHN5Qur2_6Nf4d6k5bBcWtRUG5wUA8rHMBhjxVYhhirywBgj_AkbILYtqU_-MQnPQsU0a-NzAqaS_UNSRIaKSb7_EbgUNvrWgK4pHTPWOG6RDWuNINDXMOVb4SKu0Rg_xhLZWyb1ReAGvopHQmASos5j01ssLr8etRJEKvj53kmQJEgxyzAoFVCoxT8czwGN6FZbvEwzQHgbF2xeEN0QsJLZMgnenDtHAQ_qQmcu9GLZ44bF__fF2G6Jk5wQTMbCls_wY5fLnaGIvpdxljon7CsdqcGa847EshyDHqg0fZHMNGwr24cD7HTg_v7ftlGQG6Xi1NEufNTnmOoOovwZ9FgQEpQd5o3O9ddY0Glta57HXYw7TIpZW7fOeqYKQ==", "id": "rs_014165f16418b4bb016a11864e7290819199ba4c79ef5c9822", "summary": [{"type": "summary_text", "text": "**Evaluating item properties**\n\nI’m thinking that if an item has \"start_ms\" and \"duration_ms,\" I should just return that exact float. However, there might be an issue where older cinematic formats could break if the values exceed 6. So, I want to take a closer look at scene durations in ai-004—could it be something like 5, 8, or 10? That could help clarify how to approach this without causing any issues."}]}], "tool_calls": [{"id": "call_7H4SmOKtbtN2XZ3NfRPwIESH", "call_id": "call_7H4SmOKtbtN2XZ3NfRPwIESH", "response_item_id": "fc_014165f16418b4bb016a1186558cc08191adff2995fbef4ecc", "type": "function", "function": {"name": "read_file", "arguments": "{\"limit\":80,\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/data/render_manifests/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.json\"}"}}], "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "tool", "name": "read_file", "content": "{\"content\": \"     1|{\\n     2|  \\\"schema_version\\\": \\\"render_manifest.v1\\\",\\n     3|  \\\"video\\\": {\\n     4|    \\\"id\\\": \\\"hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann\\\",\\n     5|    \\\"title\\\": \\\"Warum ein billiges Auto teuer sein kann\\\",\\n     6|    \\\"pillar\\\": \\\"hidden_money_systems\\\",\\n     7|    \\\"duration_ms\\\": 34000,\\n     8|    \\\"aspect_ratio\\\": \\\"9:16\\\",\\n     9|    \\\"resolution\\\": {\\n    10|      \\\"width\\\": 1080,\\n    11|      \\\"height\\\": 1920\\n    12|    },\\n    13|    \\\"fps\\\": 30\\n    14|  },\\n    15|  \\\"timeline\\\": [\\n    16|    {\\n    17|      \\\"id\\\": \\\"scene_01\\\",\\n    18|      \\\"track\\\": \\\"visual\\\",\\n    19|      \\\"type\\\": \\\"cinematic_ai_video\\\",\\n    20|      \\\"asset_ref\\\": \\\"placeholder://hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann/scene-01/cinematic_ai_video\\\",\\n    21|      \\\"start_ms\\\": 0,\\n    22|      \\\"duration_ms\\\": 1400,\\n    23|      \\\"text\\\": \\\"Dieser Occasion-Käufer denkt, er spart 4'000 Franken.\\\",\\n    24|      \\\"visual_direction\\\": \\\"3D car x-ray with price tag layers and risk meters freezes mid-action with warning signal.\\\",\\n    25|      \\\"visual_motion\\\": \\\"hard zoom, freeze-frame, red signal pulse\\\",\\n    26|      \\\"sound_cue\\\": \\\"bass hit + camera snap\\\",\\n    27|      \\\"retention_goal\\\": \\\"Open a visual loop immediately; make the viewer need the hidden explanation.\\\",\\n    28|      \\\"style\\\": {\\n    29|        \\\"safe_area_pct\\\": 8,\\n    30|        \\\"font\\\": \\\"bold_sans\\\",\\n    31|        \\\"caption_case\\\": \\\"sentence\\\",\\n    32|        \\\"motion\\\": \\\"push_zoom\\\",\\n    33|        \\\"contrast\\\": \\\"high\\\",\\n    34|        \\\"layout\\\": \\\"cinematic_under_caption\\\",\\n    35|        \\\"no_baked_text\\\": true,\\n    36|        \\\"pace\\\": \\\"fast_cut\\\"\\n    37|      }\\n    38|    },\\n    39|    {\\n    40|      \\\"id\\\": \\\"caption_01\\\",\\n    41|      \\\"track\\\": \\\"captions\\\",\\n    42|      \\\"type\\\": \\\"kinetic_caption\\\",\\n    43|      \\\"start_ms\\\": 0,\\n    44|      \\\"duration_ms\\\": 1000,\\n    45|      \\\"text\\\": \\\"Dieser Occasion-Käufer denkt, er spart 4'000 Franken.\\\",\\n    46|      \\\"style\\\": {\\n    47|        \\\"safe_area_pct\\\": 8,\\n    48|        \\\"position\\\": \\\"lower_third\\\",\\n    49|        \\\"max_chars_per_line\\\": 28,\\n    50|        \\\"highlight_keywords\\\": true\\n    51|      }\\n    52|    },\\n    53|    {\\n    54|      \\\"id\\\": \\\"caption_02\\\",\\n    55|      \\\"track\\\": \\\"captions\\\",\\n    56|      \\\"type\\\": \\\"kinetic_caption\\\",\\n    57|      \\\"start_ms\\\": 1000,\\n    58|      \\\"duration_ms\\\": 4000,\\n    59|      \\\"text\\\": \\\"Das sieht harmlos aus, bis du den Mechanismus dahinter siehst.\\\",\\n    60|      \\\"style\\\": {\\n    61|        \\\"safe_area_pct\\\": 8,\\n    62|        \\\"position\\\": \\\"lower_third\\\",\\n    63|        \\\"max_chars_per_line\\\": 28,\\n    64|        \\\"highlight_keywords\\\": true\\n    65|      }\\n    66|    },\\n    67|    {\\n    68|      \\\"id\\\": \\\"scene_02\\\",\\n    69|      \\\"track\\\": \\\"visual\\\",\\n    70|      \\\"type\\\": \\\"cinematic_ai_video\\\",\\n    71|      \\\"asset_ref\\\": \\\"placeholder://hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann/scene-02/cinematic_ai_video\\\",\\n    72|      \\\"start_ms\\\": 1400,\\n    73|      \\\"duration_ms\\\": 3600,\\n    74|      \\\"text\\\": \\\"Das sieht harmlos aus, bis du den Mechanismus dahinter siehst.\\\",\\n    75|      \\\"visual_direction\\\": \\\"surface layer peels away to reveal the hidden system underneath.\\\",\\n    76|      \\\"visual_motion\\\": \\\"layer peel + parallax push\\\",\\n    77|      \\\"sound_cue\\\": \\\"whoosh + low tension tick\\\",\\n    78|      \\\"retention_goal\\\": \\\"Make the surface-level interpretation feel incomplete.\\\",\\n    79|      \\\"style\\\": {\\n    80|        \\\"safe_area_pct\\\": 8,\\n    81|\", \"total_lines\": 255, \"file_size\": 9404, \"truncated\": true, \"hint\": \"Use offset=81 to continue reading (showing 1-80 of 255 lines)\", \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_7H4SmOKtbtN2XZ3NfRPwIESH", "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqEYZZVCP4FUq6L0MI6zZgrJEo_0yBYVppQUz-WAgUktPHxYFUwUiZeAiZEmYM3CdE05bPPYzOlGs9bxxh7AaZI2ec8fDEeFV2js3FMm9ty3IDnafQaQkKNTR1n_boT17w1R0L48cPWSp8FYzZDREJ0xssXtxAYK28xtN0X5ToE5PHSdk8761aLT4ZbCQn-GnSiPgc27XX7t9hIEvZvsUiSqEdcxbcK9TeuVbrk9tVPGiWoVEFir0V7_-5uJA3ZsdqxAeBBTd73OGHFpkuDV7rOtw0qKi-RswVhwrNLBpduHJ-o-OiKdr1akZ587u7INKl7jHa2VTnZkVVf7I16eB9b1ujr6jdjXhkmSqXFISuS9LkzA5yYyIkbtUejJaHPTuqnit78NAKIGPrI6hgvHrko8Gjoz2zc1Xg1EunoPqSytUytHaSomIRBFhCtRH6DHI1httkj6OkMkj8ZQ0D7U1FxSnYOf296wzQ0Ea5yX76sE8FBq35nasOvqt0zAipmiAKjuPjqHHAtr-Nc1940a_bUfiE7m-Yczq6sSd9yOkdjq1koSD8qdGZtnhrkaoejgVG5qBMaV06bV1byZsOuORUoodcEqbaHPQ9_gZqd-uNEgr0Ri99kpNKjbTDl57yXJiU1npmHKGAxAm7Ij9PP3efBRjhLIiG2Pp9xSEj37xGccZNNHsFB6jvloZ7aD1FVM5jatvs-6HPFv3aI_sz5OKGa8Bd3nH27rIhdKUW73GyTSwHwP7Fmirz-GOwkD9l0_Yb25ziipLVq_lOYvjUCbfcTfpavqf0BZ4BZl3v4ur1KsGoPTBHGajPSDrsYjpjWo_jjvI8ZKdNb2_mVKh6myj6yK-dyRVlL_6bcerkB4iiKCfAIlwcmr3bPhVCakrjWa4qgTg45cUUaRLXTA3DeUVvHaj1m1fseGgYCgBK4AwxQwI2vEq5pgQ-vgsaQZtzs7_UwKsbw8rlzOwWlLHGKrj39fPdyA==", "id": "rs_07cc2be4859e7741016a118658555881918b9564d7405da212", "summary": []}], "tool_calls": [{"id": "call_D4PaeEUXE9JoYdZgExgO8YYC", "call_id": "call_D4PaeEUXE9JoYdZgExgO8YYC", "response_item_id": "fc_07cc2be4859e7741016a118659724481918df23c31515caff0", "type": "function", "function": {"name": "patch", "arguments": "{\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_free_production_jobs.py\",\"old_string\":\"def test_write_free_production_jobs_outputs_json(tmp_path):\\n    paths = write_free_production_jobs([_asset_plan()], tmp_path)\\n\\n    assert len(paths) == 1\\n    payload = json.loads(paths[0].read_text(encoding=\\\"utf-8\\\"))\\n    assert payload[\\\"schema_version\\\"] == \\\"free_production_jobs.v1\\\"\\n    assert payload[\\\"video\\\"][\\\"id\\\"] == \\\"hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann\\\"\\n\",\"new_string\":\"def test_mechanism_free_production_jobs_preserve_total_video_duration():\\n    jobs = build_free_production_jobs(_asset_plan())\\n    local_jobs = [job for job in jobs[\\\"jobs\\\"] if job[\\\"provider\\\"] in {\\\"local_renderer\\\", \\\"local_ffmpeg\\\"}]\\n\\n    assert sum(job[\\\"duration_seconds\\\"] for job in local_jobs) == jobs[\\\"video\\\"][\\\"duration_ms\\\"] / 1000\\n\\n\\ndef test_write_free_production_jobs_outputs_json(tmp_path):\\n    paths = write_free_production_jobs([_asset_plan()], tmp_path)\\n\\n    assert len(paths) == 1\\n    payload = json.loads(paths[0].read_text(encoding=\\\"utf-8\\\"))\\n    assert payload[\\\"schema_version\\\"] == \\\"free_production_jobs.v1\\\"\\n    assert payload[\\\"video\\\"][\\\"id\\\"] == \\\"hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann\\\"\\n\"}"}}], "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/agent/jarvis_runtime/AutoShortsBot/tests/test_free_production_jobs.py\\n+++ b//home/agent/jarvis_runtime/AutoShortsBot/tests/test_free_production_jobs.py\\n@@ -48,6 +48,13 @@\\n     assert all(\\\"video generation\\\" not in job[\\\"free_workflow\\\"].lower() for job in llm_jobs)\\n \\n \\n+def test_mechanism_free_production_jobs_preserve_total_video_duration():\\n+    jobs = build_free_production_jobs(_asset_plan())\\n+    local_jobs = [job for job in jobs[\\\"jobs\\\"] if job[\\\"provider\\\"] in {\\\"local_renderer\\\", \\\"local_ffmpeg\\\"}]\\n+\\n+    assert sum(job[\\\"duration_seconds\\\"] for job in local_jobs) == jobs[\\\"video\\\"][\\\"duration_ms\\\"] / 1000\\n+\\n+\\n def test_write_free_production_jobs_outputs_json(tmp_path):\\n     paths = write_free_production_jobs([_asset_plan()], tmp_path)\\n \\n\", \"files_modified\": [\"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_free_production_jobs.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_D4PaeEUXE9JoYdZgExgO8YYC", "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_jr6PcWhFYIrkxjo0WVfmz2o7", "call_id": "call_jr6PcWhFYIrkxjo0WVfmz2o7", "response_item_id": "fc_02d6cb1f4baf09f2016a118663ecfc8191a5a32d226affa8eb", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"pytest tests/test_free_production_jobs.py::test_mechanism_free_production_jobs_preserve_total_video_duration -q\",\"timeout\":120,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}"}}], "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \"F                                                                        [100%]\\n=================================== FAILURES ===================================\\n______ test_mechanism_free_production_jobs_preserve_total_video_duration _______\\n\\n    def test_mechanism_free_production_jobs_preserve_total_video_duration():\\n        jobs = build_free_production_jobs(_asset_plan())\\n        local_jobs = [job for job in jobs[\\\"jobs\\\"] if job[\\\"provider\\\"] in {\\\"local_renderer\\\", \\\"local_ffmpeg\\\"}]\\n    \\n>       assert sum(job[\\\"duration_seconds\\\"] for job in local_jobs) == jobs[\\\"video\\\"][\\\"duration_ms\\\"] / 1000\\nE       assert 25 == (34000 / 1000)\\nE        +  where 25 = sum(<generator object test_mechanism_free_production_jobs_preserve_total_video_duration.<locals>.<genexpr> at 0x7d58bb726330>)\\n\\ntests/test_free_production_jobs.py:55: AssertionError\\n=========================== short test summary info ============================\\nFAILED tests/test_free_production_jobs.py::test_mechanism_free_production_jobs_preserve_total_video_duration\\n1 failed in 0.05s\", \"exit_code\": 1, \"error\": null}", "tool_call_id": "call_jr6PcWhFYIrkxjo0WVfmz2o7", "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "assistant", "content": "", "reasoning": "**Fixing asset_plan function**\n\nI need to adjust the asset_plan function because _duration_seconds is currently rounded and capped. I think preserving the exact values for hidden_money and mechanism style is essential. I also wonder if a function should accept an item only, potentially changing its signature with pillar.\n\nIf an item's type is either \"mechanism_animation,\" \"cinematic_ai_video,\" or \"kinetic_text_overlay,\" it should return the exact duration in seconds. Otherwise, it'll cap it. I need to make sure it can return both int and float, so I'll conduct tests to verify everything works smoothly.", "finish_reason": "tool_calls", "reasoning_content": "**Fixing asset_plan function**\n\nI need to adjust the asset_plan function because _duration_seconds is currently rounded and capped. I think preserving the exact values for hidden_money and mechanism style is essential. I also wonder if a function should accept an item only, potentially changing its signature with pillar.\n\nIf an item's type is either \"mechanism_animation,\" \"cinematic_ai_video,\" or \"kinetic_text_overlay,\" it should return the exact duration in seconds. Otherwise, it'll cap it. I need to make sure it can return both int and float, so I'll conduct tests to verify everything works smoothly.", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqEYZt_SxC2yT7F4i72M-NvqKyGQl5vP3wvmnSbpleKEf3ucq69dnUS4t4RsJLfiys7BNgwptxCP_iUXXoObbgg_piT1cfnTMTkC0G9x7PYpIyNq0SpEDsltatqzrJfoW0S1l_51nutSb6edHX03mHdecmUZjPo-wkl78HvFrbDFjIZ72O4hZYxJeNeXRSNRNvC10sFJbeHyoTie_1chuLgU6rE9jXI4fD9lTrknlgH2F1y-OEdvSAZfQY3DrjtSV6l7Hlz49aWWgmY8j5ntmMKaQ4Bqlgzoe0s-0H7DWqmM3GbDDNq32VX-O_CsOL-KZROfuzVlqzYpOcRQUFw5kvXQgmvx_KlGrXC2UpI2n-dTpaARQPdh2JRXpst2H5TaLPSpjwaemFYkU6KBGlMUMj4tCYXfBvbtbOVy2l8Rw4UX4BtQyz7rmKQIScqbCS6dRnsfAYoegR9YWpaQq2O9-ETToU2bcOczo0Li96V_yBbdiNvLtU6t8XTiChfyTVg7A9-ehi9ThxqW_IrG1NSP3Rk1O5Azy4EvWmabLOqTs71nkBjCzEkadr19Py18BUSCcpdTziWZ4jmbXyR2nNvTrqatG9tWehbXgQhIjMzmmxDmq3aXaQLyDg5SOp1PiaVcx5UBv0MmuLixB_cn4o9vTLXy-L7755pbEmKnRtU6_3lHD2jrzIpV0KEjpeoDdKV8mF7p500ewopxpp0Dw4kVA3YV2WPoE7U1YkBjXuuPXmDwJ0pfxZUi7k2s9mp_MOu717koWmFCITV3c7iM5z3gEsImnhZar215_qEM2zqeUSwNI1pm6v3Dmt3Y6oZf8ldzRGXBUsj6cDmBT7f8WXtfajt2pB3kVHLxawMUXHUVDM54lxO-8mz1RoBl1of0JHi_jD5HatEmhZByf_IAWcTRbZMw-xJ3aVMWMlIQq94ZM9wI7_6sTeQh6YStLTha9MnJgPNBfLDExAdM2dvSmohyBkqivzhlP0Wq1TmFxw93vwwsdQIhJdj0GBmKlHsyWYo7hGy16uLIZ-nFLLX0tlHBySjq4XMgjMn0YCtNTg9p1Rr9F9MzAlj9I24ca4Vupqzoq_YiaDrOSKA_kgFV0Qa4Jf_PTHZwREJ--soRWPubI1N8P5D3SGKbL1FAnv-evdI3h53cYqXjlkPjVcVM-xF6B08QB0mbaadCESXivho1j-eX6UNUjnmPT73YsJ_azjWTzIggcT0Qvnom0-LKIuZLuiciALtPVd3blaWfmd3tO1kvCiczbpHG5zs65boEWGXFnYpOjFTLr23sOxruguQQ839J2fwOiwFCKOz88sATE_cIFMx374QQdkNVl9pmVZ7KxkD-RsfKfbib91mJaRU3nwL27vk3Bg1a_hDtDxcoq6fqIgMnXZ02gEQV1zkx885TQELhzTwdYdJFcUvHC2jY1WSQZVhheCQPiSlo0Ru_6UR6jqmOzJScHgMTD7GorXY43oIU3OPj6XwcYie0LUnTLLzY9mVQiXPLFr3dGiYlt-zPxKlkNT-CxeoRIiubjKoGNDbEuG5HyIDaO8E9n592aJm0CGXD7SEJHH1ra-9usR7eH9p0DuEEyu2yI33IU-iXsPeRGQ32pdBLA4q-W12SaDDZ0S1oT-PvNkiYsBrvepcNRhq5j_ZcCFvEUJvKAm4el3wp4Rs7VVr2Pt-JUsykGwfwgwVozY670dt65i_DRgFUcrIcq8x706MR3zcF-e1fs_rB7mlyrUc4litvD7dfEdqXPJ1YgRabqIX8u6jGtbZQWvx93OqT95XNKAb4SsE30oSAMZUBRJ1s-plmxNTFg1hvFYVE2_QHt4u5EAZBvNTHY80g5c5V8bU3o5lzCJOpVkr5jcH5Khs5OSNcvfgRYlmpK3igNVxpcFdXhssXddvsFQ9M_YjEzfaeJLybQf6W12nS_PQ_-Uehh8RhJRIzpmFwIXyxdOrTwekv_yQn95eIS4bY4=", "id": "rs_092d83855517ff98016a1186679ae08191b37d2f21bd7ffcf8", "summary": [{"type": "summary_text", "text": "**Fixing asset_plan function**\n\nI need to adjust the asset_plan function because _duration_seconds is currently rounded and capped. I think preserving the exact values for hidden_money and mechanism style is essential. I also wonder if a function should accept an item only, potentially changing its signature with pillar.\n\nIf an item's type is either \"mechanism_animation,\" \"cinematic_ai_video,\" or \"kinetic_text_overlay,\" it should return the exact duration in seconds. Otherwise, it'll cap it. I need to make sure it can return both int and float, so I'll conduct tests to verify everything works smoothly."}]}], "tool_calls": [{"id": "call_G1cVRg3Bwjl8flbYkVlYJJu0", "call_id": "call_G1cVRg3Bwjl8flbYkVlYJJu0", "response_item_id": "fc_092d83855517ff98016a11866d73c08191be4cbf9e5518a5e6", "type": "function", "function": {"name": "patch", "arguments": "{\"new_string\":\"def _duration_seconds(item: dict[str, Any]) -> int | float:\\n    seconds = int(item[\\\"duration_ms\\\"]) / 1000\\n    if item.get(\\\"type\\\") in {\\\"cinematic_ai_video\\\", \\\"mechanism_animation\\\", \\\"kinetic_text_overlay\\\"}:\\n        return int(seconds) if seconds.is_integer() else seconds\\n    return max(3, min(6, round(seconds)))\\n\",\"old_string\":\"def _duration_seconds(item: dict[str, Any]) -> int:\\n    return max(3, min(6, round(int(item[\\\"duration_ms\\\"]) / 1000)))\\n\",\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/asset_plan.py\"}"}}], "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/agent/jarvis_runtime/AutoShortsBot/autoshorts/asset_plan.py\\n+++ b//home/agent/jarvis_runtime/AutoShortsBot/autoshorts/asset_plan.py\\n@@ -49,8 +49,11 @@\\n     return [item for item in manifest[\\\"timeline\\\"] if item[\\\"track\\\"] == \\\"visual\\\"]\\n \\n \\n-def _duration_seconds(item: dict[str, Any]) -> int:\\n-    return max(3, min(6, round(int(item[\\\"duration_ms\\\"]) / 1000)))\\n+def _duration_seconds(item: dict[str, Any]) -> int | float:\\n+    seconds = int(item[\\\"duration_ms\\\"]) / 1000\\n+    if item.get(\\\"type\\\") in {\\\"cinematic_ai_video\\\", \\\"mechanism_animation\\\", \\\"kinetic_text_overlay\\\"}:\\n+        return int(seconds) if seconds.is_integer() else seconds\\n+    return max(3, min(6, round(seconds)))\\n \\n \\n def _asset_mode(item: dict[str, Any], pillar: str) -> str:\\n\", \"files_modified\": [\"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/asset_plan.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_G1cVRg3Bwjl8flbYkVlYJJu0", "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_kqGoW9yBX3oqQgtmwOayz3Yy", "call_id": "call_kqGoW9yBX3oqQgtmwOayz3Yy", "response_item_id": "fc_0979536b5e11d800016a1186736b888191883090833bd172dd", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"python scripts/generate_asset_plans.py --manifest data/render_manifests/mechanism_pilots --out data/asset_plans/mechanism_pilots && python scripts/generate_free_production_jobs.py --asset-plan data/asset_plans/mechanism_pilots --out data/free_production_jobs/mechanism_pilots && pytest tests/test_free_production_jobs.py::test_mechanism_free_production_jobs_preserve_total_video_duration tests/test_local_motion_renderer.py -q\",\"timeout\":180,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}"}}], "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \"Generated 1 asset plans in data/asset_plans/mechanism_pilots\\ndata/asset_plans/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.json\\nGenerated 1 free production job specs in data/free_production_jobs/mechanism_pilots\\ndata/free_production_jobs/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.json\\n...                                                                      [100%]\\n3 passed in 1.33s\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_kqGoW9yBX3oqQgtmwOayz3Yy", "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "assistant", "content": "", "reasoning": "**Calculating test duration**\n\nI need a local test now, and I expect the duration to be 34 seconds since the JSON has been updated, which is good. I should render the actual pilot and maybe use a resolution of 540x960 at 12 fps to save some processing time. The script defaults to 24 fps, which would mean 816 frames for 34 seconds, but I want to keep it under 600 frames. Setting it to 15 fps seems decent, and I need to produce an MP4.", "finish_reason": "tool_calls", "reasoning_content": "**Calculating test duration**\n\nI need a local test now, and I expect the duration to be 34 seconds since the JSON has been updated, which is good. I should render the actual pilot and maybe use a resolution of 540x960 at 12 fps to save some processing time. The script defaults to 24 fps, which would mean 816 frames for 34 seconds, but I want to keep it under 600 frames. Setting it to 15 fps seems decent, and I need to produce an MP4.", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqEYZ9Bl5QPXvdV0_xnC-28qPhesmDoCbaDVzETvlnR0B_1yUkkQfHSt5f3rl1EFq99vRHK168oR1Bhe5nXU6SEo5HRv7hM3coAXr7WArleoZF6LB1S6AZyHslVk9skyr_HFwjPPOWMSJVVbQQTK1zYapFB1xJ7c7g7SSYTOy040i10fc-N3Ybfl0fc2LdGJLAz_sXupp_cZ7uSToOcv2leVL9PeV1v3YxNPWtNfwFnLMcCWWbADRiwsJcU0cdju0pz7sQM5RDgPhaG-F8SPYnlEZUVFbZAcyuFLTTFtAprRxZLrQKmucYWGCjySWgRO3rkobKvln5I2GZNiDl8qYGqGlmL6I7oWVJrn8rKeQ1b4tJcVuTjr00PcQZrpPlB_P0ttmnGQs0n6L3ZgnWP_Oe5lu0oa0ceuepJYg3UZL9nmiL6HzROVoJAGETzKcgVTYGUJZCdKyjDRPzlSm7qiMrilomiUyA4CJ4SgLDbXAQCFF8z9PKHX9XQ8bPv7nf8ZKgRxGy4DBe-Rru3hrB6ZTPIcpSUrnFzwwD71knkyMXaBh2lsVKK-KoXQgI_R58eU4Lwhk_8ci692yKNvISBq-9u9pVw48SkFL-PHKCvottm4IHPoG00G_IYCI-TK8LQ-irnATP1XyH-EsqtPDROGJ_GTvXDAdmvRoua81RN4u39fTTwnq6T8aMAiCh9viBrm-xw_Iexx6RlYAsPhJcBlWrQBEOFpxpTWpcC4XkGMAGAT-xGJSn0_BtD2Ko0WQBz0tPuCTxMC5_QxvEXxE8LLekncGXvJpejkgiftyBBLsPzMseGCsc1Rub4-7_lO_V3p_O0UldzO1TSVGeMQsO-zjia5GEUC4zUsmtxSOPJVIJ1-pf8X3IwRwPXJ8l6WSrCrt-TX1uGmmZI0RvZ-p2yzFmckt-AMhMhzfyxdGnXzpE51P4a0wC4e8dS0WZJEx2GvHvwpBoavbD47OSHXehStxzVKgNqFR1Yx631GkAxs313Fn_VcQnyJ0xfYV4BZ3vRTlRfWD_LWUSjzYnyqEQ2lR2vd5Hw7hlzIIcbefl-q2pTv__rX2K4siuXnLSoU9lEjNELeY1gRkg_fsDug67Z-XW6thPlw9vKI3Rh9YOh32qUzdDrtMMZPy42Kynt68uBrGeyNITJKCMpNJ0JDLGtc2BgimxMHRrxfjyeQR-vvJocq8BGBuLx8HCzAC26OYVTIb4-jmyOg9lJ4XT6Gha8aX5PN50TQ==", "id": "rs_0b0a580d46e9cd16016a11867a55308191ad7ef6dcab28ef2b", "summary": [{"type": "summary_text", "text": "**Calculating test duration**\n\nI need a local test now, and I expect the duration to be 34 seconds since the JSON has been updated, which is good. I should render the actual pilot and maybe use a resolution of 540x960 at 12 fps to save some processing time. The script defaults to 24 fps, which would mean 816 frames for 34 seconds, but I want to keep it under 600 frames. Setting it to 15 fps seems decent, and I need to produce an MP4."}]}], "tool_calls": [{"id": "call_9pP1WbOZqMS7IXWMnNMAw7lr", "call_id": "call_9pP1WbOZqMS7IXWMnNMAw7lr", "response_item_id": "fc_0b0a580d46e9cd16016a11867d96288191af8314659054a500", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"python scripts/render_free_local_motion.py --jobs data/free_production_jobs/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.json --out-dir data/local_motion_renders/mechanism_pilots --width 540 --height 960 --fps 15\",\"timeout\":600,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}"}}], "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \"Rendered local motion video: data/local_motion_renders/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.mp4\\nMetadata: data/local_motion_renders/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.json\\nScenes: 5 | duration: 34s | fps: 15\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_9pP1WbOZqMS7IXWMnNMAw7lr", "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "assistant", "content": "", "reasoning": "**Verifying media with tools**\n\nI need to check the media details using ffprobe. I should run some full tests. It might be a good idea to grab a screenshot as well, possibly using vision tools. Then, I think I should also run a git status command to see the current state of the repository. It's all about being thorough and making sure everything is in order before moving forward!", "finish_reason": "tool_calls", "reasoning_content": "**Verifying media with tools**\n\nI need to check the media details using ffprobe. I should run some full tests. It might be a good idea to grab a screenshot as well, possibly using vision tools. Then, I think I should also run a git status command to see the current state of the repository. It's all about being thorough and making sure everything is in order before moving forward!", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqEYaR8Tnk4geI73pOLldmhn8wMUpbTF-uL7Cr6e5O9bbkLeGEQbKfnQxMlpjksI35yJNPWIFGgA3ZhgZWdKfdeNew0gG1z7ajnwM0isRJLTm5hRWAkwkaxpZfSNYVJpovojuSYxM_7vAAnUoGQqOkky-ga9Pomci4OI07NYdeY5L_j-dap0VImmdVkTAi25aL2VZytSJqvUiVM8QvhewfK0y_n3-kohlt5JMNUntTw-9B09NxD_eEzulyC6zDnH4-KrNOakCfqUZ5UBgPUHmzqXH8HciT-5scr_K-wrDoGC4mKnuHDcUvcdsrDiP-RLPVJ6YLBMWsXfpWNYz1LCbYOnPhsi3YlSGlCIUq4DWOrbLwhoR0v2RAXQqKUBu32Bav8WzqFy8saqUkBVijnwj1eq8ClcVH_-sOJJCwdaIapB1xHhoEmSH8Z680LGbmijTQv_Lois3oohmibIqU8w8yMLMft0HOgKSfiqPONhVwuUj-e-6WeFKfw2mWr9hjENr-XO1khF3WxQEIxftjq7biAtBUnJsp8dE_X3PuXllYIB2c6AlinzyBCr6Wm8UZVawo3a43MvritgZ_AVj3DmfEW1nTrPfUvV0B3GAsZWekWBP_SwCuaVHl45Pd_71uSWuEk_tjGMjcXAE_o4yuHpB80fogOpwtoLtLmH4-E5bl0Gm0oZQMPTl_0BSkiknJToIf5XZtfBpQ6oCvE5gRBtG9zxQivgq40j4GY7ROD9aYmOVFMbGh30XVjtO8T7Dmw5OIRr2aAMNlzEjJexp09V5RM92eK9Q0PdwCSAVlcytqmKPVsLlS7udSQwh8kLy_E2Y3Ok9-kyhmbIFs5B9R2xCzSQQnYoh0Vd4E2-2pR1hxfR-MqzjxQp_CP--sYkvomu3sH1TfporEitCtTPAfI8e6PMEOd-3ZxuFj8ZBW8nBFw1C1c_S1iqV7P1bsque0MBwq1kWroFLYs6CdNS6dW3JjVS49lhD5WX6pkwI4-jLmxqDHh0houbAZgSXjWF8XJ53IZIwbv8TTFfD2vOoNZ88QNegqemsqrVKovUfYpAhhzRxzdgM=", "id": "rs_0b044a14a2d9b52e016a11868f132c8191854bf05734b54ab0", "summary": [{"type": "summary_text", "text": "**Verifying media with tools**\n\nI need to check the media details using ffprobe. I should run some full tests. It might be a good idea to grab a screenshot as well, possibly using vision tools. Then, I think I should also run a git status command to see the current state of the repository. It's all about being thorough and making sure everything is in order before moving forward!"}]}], "tool_calls": [{"id": "call_q0ww5wrvrGuzdlzrtiOEa2Ze", "call_id": "call_q0ww5wrvrGuzdlzrtiOEa2Ze", "response_item_id": "fc_0b044a14a2d9b52e016a118693dd1081919a4c32a39b14f661", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"pytest tests/ -q\",\"timeout\":300,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}"}}, {"id": "call_pRX8LGtykUd8OGq9bUXPgAVv", "call_id": "call_pRX8LGtykUd8OGq9bUXPgAVv", "response_item_id": "fc_0b044a14a2d9b52e016a118693dd248191a8dbce0067f1b37f", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"ffprobe -v error -select_streams v:0 -show_entries stream=width,height,avg_frame_rate,duration -of default=nw=1:nk=1 data/local_motion_renders/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.mp4\",\"timeout\":60,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}"}}, {"id": "call_sAUcAqhDkFhO2qcPJa3sO3Ee", "call_id": "call_sAUcAqhDkFhO2qcPJa3sO3Ee", "response_item_id": "fc_0b044a14a2d9b52e016a118693dd2c81918ed116eeae535a7d", "type": "function", "function": {"name": "read_file", "arguments": "{\"limit\":160,\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/data/local_motion_renders/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.json\"}"}}], "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \".................................................                        [100%]\\n49 passed in 2.19s\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_q0ww5wrvrGuzdlzrtiOEa2Ze", "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \"540\\n960\\n15/1\\n34.000000\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_pRX8LGtykUd8OGq9bUXPgAVv", "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "tool", "name": "read_file", "content": "{\"content\": \"     1|{\\n     2|  \\\"schema_version\\\": \\\"local_motion_render.v1\\\",\\n     3|  \\\"video_id\\\": \\\"hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann\\\",\\n     4|  \\\"source_schema_version\\\": \\\"free_production_jobs.v1\\\",\\n     5|  \\\"output_path\\\": \\\"data/local_motion_renders/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.mp4\\\",\\n     6|  \\\"width\\\": 540,\\n     7|  \\\"height\\\": 960,\\n     8|  \\\"fps\\\": 15,\\n     9|  \\\"frame_count\\\": 510,\\n    10|  \\\"scene_count\\\": 5,\\n    11|  \\\"rendered_duration_seconds\\\": 34,\\n    12|  \\\"motion_event_count\\\": 19,\\n    13|  \\\"paid_credit_providers_used\\\": [],\\n    14|  \\\"budget_policy\\\": {\\n    15|    \\\"paid_video_credits_allowed\\\": false,\\n    16|    \\\"allowed_providers\\\": [\\n    17|      \\\"local_renderer\\\",\\n    18|      \\\"local_ffmpeg\\\",\\n    19|      \\\"free_nvidia_llm\\\"\\n    20|    ],\\n    21|    \\\"nvidia_llm_scope\\\": \\\"text_refinement_only\\\"\\n    22|  },\\n    23|  \\\"scenes\\\": [\\n    24|    {\\n    25|      \\\"scene_id\\\": \\\"scene_01\\\",\\n    26|      \\\"asset_mode\\\": \\\"cinematic_ai_video\\\",\\n    27|      \\\"provider\\\": \\\"local_renderer\\\",\\n    28|      \\\"execution_mode\\\": \\\"procedural_motion\\\",\\n    29|      \\\"duration_seconds\\\": 1.4,\\n    30|      \\\"motion_directive\\\": \\\"slow handheld push-in, subtle parallax, natural micro-movements\\\"\\n    31|    },\\n    32|    {\\n    33|      \\\"scene_id\\\": \\\"scene_02\\\",\\n    34|      \\\"asset_mode\\\": \\\"cinematic_ai_video\\\",\\n    35|      \\\"provider\\\": \\\"local_renderer\\\",\\n    36|      \\\"execution_mode\\\": \\\"procedural_motion\\\",\\n    37|      \\\"duration_seconds\\\": 3.6,\\n    38|      \\\"motion_directive\\\": \\\"slow handheld push-in, subtle parallax, natural micro-movements\\\"\\n    39|    },\\n    40|    {\\n    41|      \\\"scene_id\\\": \\\"scene_03\\\",\\n    42|      \\\"asset_mode\\\": \\\"mechanism_animation\\\",\\n    43|      \\\"provider\\\": \\\"local_renderer\\\",\\n    44|      \\\"execution_mode\\\": \\\"mechanism_reveal_animation\\\",\\n    45|      \\\"duration_seconds\\\": 13,\\n    46|      \\\"motion_directive\\\": \\\"large kinetic caption words pop and slide with beat-synced emphasis\\\"\\n    47|    },\\n    48|    {\\n    49|      \\\"scene_id\\\": \\\"scene_04\\\",\\n    50|      \\\"asset_mode\\\": \\\"mechanism_animation\\\",\\n    51|      \\\"provider\\\": \\\"local_renderer\\\",\\n    52|      \\\"execution_mode\\\": \\\"mechanism_reveal_animation\\\",\\n    53|      \\\"duration_seconds\\\": 10,\\n    54|      \\\"motion_directive\\\": \\\"large kinetic caption words pop and slide with beat-synced emphasis\\\"\\n    55|    },\\n    56|    {\\n    57|      \\\"scene_id\\\": \\\"scene_05\\\",\\n    58|      \\\"asset_mode\\\": \\\"kinetic_text_overlay\\\",\\n    59|      \\\"provider\\\": \\\"local_ffmpeg\\\",\\n    60|      \\\"execution_mode\\\": \\\"kinetic_typography\\\",\\n    61|      \\\"duration_seconds\\\": 6,\\n    62|      \\\"motion_directive\\\": \\\"large kinetic caption words pop and slide with beat-synced emphasis\\\"\\n    63|    }\\n    64|  ],\\n    65|  \\\"ffmpeg_stderr_tail\\\": \\\".0 size=     256kB time=00:00:07.80 bitrate= 268.9kbits/s speed=7.67x    \\\\nframe=  225 fps=148 q=27.0 size=     512kB time=00:00:14.86 bitrate= 282.2kbits/s speed= 9.8x    \\\\nframe=  334 fps=165 q=27.0 size=    1024kB time=00:00:22.13 bitrate= 379.0kbits/s speed=  11x    \\\\nframe=  436 fps=173 q=27.0 size=    1280kB time=00:00:28.93 bitrate= 362.4kbits/s speed=11.5x    \\\\n[mp4 @ 0x6412eb627f00] Starting second pass: moving the moov atom to the beginning of the file\\\\n[out#0/mp4 @ 0x6412eb45f200] video:1717kB audio:0kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 0.331028%\\\\nframe=  510 fps=179 q=-1.0 Lsize=    1723kB time=00:00:33.80 bitrate= 417.5kbits/s speed=11.8x    \\\\n[libx264 @ 0x6412eb677600] frame I:3     Avg QP:15.41  size: 26828\\\\n[libx264 @ 0x6412eb677600] frame P:305   Avg QP:18.84  size:  4516\\\\n[libx264 @ 0x6412eb677600] frame B:202   Avg QP:26.34  size:  1483\\\\n[libx264 @ 0x6412eb677600] consecutive B-frames: 35.3% 32.2% 10.6% 22.0%\\\\n[libx264 @ 0x6412eb677600] mb I  I16..4: 48.2% 24.8% 27.0%\\\\n[libx264 @ 0x6412eb677600] mb P  I16..4:  3.2%  1.5%  1.2%  P16..4: 11.8%  4.3%  2.5%  0.0%  0.0%    skip:75.4%\\\\n[libx264 @ 0x6412eb677600] mb B  I16..4:  0.5%  0.2%  0.2%  B16..8: 18.3%  2.7%  1.0%  direct: 0.5%  skip:76.7%  L0:51.6% L1:46.6% BI: 1.8%\\\\n[libx264 @ 0x6412eb677600] 8x8 transform intra:25.7% inter:22.9%\\\\n[libx264 @ 0x6412eb677600] coded y,uvDC,uvAC intra: 14.1% 33.4% 27.7% inter: 2.4% 3.8% 2.4%\\\\n[libx264 @ 0x6412eb677600] i16 v,h,dc,p: 24% 74%  1%  0%\\\\n[libx264 @ 0x6412eb677600] i8 v,h,dc,ddl,ddr,vr,hd,vl,hu:  7% 31% 61%  0%  0%  0%  0%  0%  0%\\\\n[libx264 @ 0x6412eb677600] i4 v,h,dc,ddl,ddr,vr,hd,vl,hu: 36% 25% 20%  2%  3%  3%  5%  3%  3%\\\\n[libx264 @ 0x6412eb677600] i8c dc,h,v,p: 25% 59% 15%  1%\\\\n[libx264 @ 0x6412eb677600] Weighted P-Frames: Y:0.0% UV:0.0%\\\\n[libx264 @ 0x6412eb677600] ref P L0: 67.3%  3.6% 17.6% 11.5%\\\\n[libx264 @ 0x6412eb677600] ref B L0: 78.5% 18.5%  3.0%\\\\n[libx264 @ 0x6412eb677600] ref B L1: 97.... [truncated]\\n    66|}\\n    67|\", \"total_lines\": 66, \"file_size\": 4259, \"truncated\": false, \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_sAUcAqhDkFhO2qcPJa3sO3Ee", "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "assistant", "content": "", "reasoning": "**Considering screenshot extraction**\n\nI need to create a vision preview screenshot. To do this, I might use the terminal to extract a frame. It seems like using ffmpeg could be a good choice for generating the screenshot and working with vision. I’m making sure I have the right approach, since it's important to capture the frame correctly. So, let’s see how it all comes together!", "finish_reason": "tool_calls", "reasoning_content": "**Considering screenshot extraction**\n\nI need to create a vision preview screenshot. To do this, I might use the terminal to extract a frame. It seems like using ffmpeg could be a good choice for generating the screenshot and working with vision. I’m making sure I have the right approach, since it's important to capture the frame correctly. So, let’s see how it all comes together!", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqEYad5L-aqYX3wMchb8BlWHg9WwkbiR_I0iEG3OBFI-oyHDQVbTw50Izm9m7U-hUmU8XLs6jbsdDKF_Of1jKe1j_gLpDxvB51FlyJtZ2fR6IgsqkRMy8_SMmtFFgEqa591ZwuDKHj-KFo1RTExGmuGUWSjQ0Lk-jbaOiRq8vphk4xZ-7a6YEW8Q5UyfJxe8cVRZYetT9LHzNP9q9nF1WnrcBzpLsH_O4_6FHfgPh7v-7G5ZCuIGrICuscyTob8_lOaziurpNwOD2NjU54D2kA_SnsyeK8CtA-SrFbDB-758f2P1n8D5NBOP4SGP3D8SLOUhkBePFBHGtMHisTWE1sk2Jkt73CGHZMKhif4SoGzkABrRD4ZHS1kHbkZs0eOPa_aRRDkXttnO0xF_pmJxRIqaqBwJJAU3zgn1VD33-ZwN4KJ8Eb8zX2qYxWonhLU7O56kSFTucD6qqIkx2zIJowPqg9ueUXKpHkCwn1_90uqEUkLZcfRDHs7veQQSPuoPWYXsGXZap6tzon69SCmQI4AMRB8COSq-XRYYSabzvSfE81OeJuE6gv0YXSge_ZYBENMye_qo1YW34l5BIolAogUwUsSKxynXsg4300_xOgb58IVv9Le04GrhbtIsPNoaPSZUl_ywOmuQnHC2SHzScbE4yvAv1Y31HPcXqi75t3Yuwq4t_E8w30LkYqjYwxd44JTncH3wxLVi-2X5VPgIN2CV10zu7LKBza0fGh1c-KAGrvuOYOuslSotXPlFLU3U1oF0m3t-md9oxnbtPUa9ayx_ZHqRpKIzt2i5Bvy136vto9hduuU3YpHRkXrEt8XqEMAUzrS3CoRpfoX9DkpkGeWmyE9a38g-LPkv1rf1JfhWikvClHVWH4XD0NtIQfKfRiD0691Rwuuf6UuVf_WgX5juCiUAeFCw3ps-fc099FZ3n_-RQohsCLl_CovwVwAbe0anHuPsV65b8_cjqt5fknRIx9NTNxFekfOCyJDuEFyZP9o4jRQF5TGMkrdGdRNxbrZpHmEuOsUrv1QpkzK9KslUKCKUYjxYZ1utexUnEh3g1kyrJ9MFhi-n7lk9BCrmI6jT4q", "id": "rs_073d3259c9bafaa2016a11869bafcc819181015d5f726985eb", "summary": [{"type": "summary_text", "text": "**Considering screenshot extraction**\n\nI need to create a vision preview screenshot. To do this, I might use the terminal to extract a frame. It seems like using ffmpeg could be a good choice for generating the screenshot and working with vision. I’m making sure I have the right approach, since it's important to capture the frame correctly. So, let’s see how it all comes together!"}]}], "tool_calls": [{"id": "call_YDTqczetVVWUe2HOly4k4mzw", "call_id": "call_YDTqczetVVWUe2HOly4k4mzw", "response_item_id": "fc_073d3259c9bafaa2016a11869de1148191af4bc76f50452bcb", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"mkdir -p /tmp/autoshorts_preview_check && ffmpeg -y -ss 00:00:08 -i data/local_motion_renders/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.mp4 -frames:v 1 /tmp/autoshorts_preview_check/frame_8s.jpg >/dev/null 2>&1 && file /tmp/autoshorts_preview_check/frame_8s.jpg\",\"timeout\":60,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}"}}], "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \"/tmp/autoshorts_preview_check/frame_8s.jpg: JPEG image data, baseline, precision 8, 540x960, components 3\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_YDTqczetVVWUe2HOly4k4mzw", "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_9gfOBsYgBQVCB8SZIQiOL0Uz", "call_id": "call_9gfOBsYgBQVCB8SZIQiOL0Uz", "response_item_id": "fc_055f1fa8c47384a3016a1186a0c44881919bb119d249484d66", "type": "function", "function": {"name": "vision_analyze", "arguments": "{\"image_url\":\"/tmp/autoshorts_preview_check/frame_8s.jpg\",\"question\":\"Kurz prüfen: Ist dies ein vertikaler Mechanism-Explainer-Frame mit sichtbaren animierten/layerartigen Elementen und lesbarer Caption? Gibt es auffällige Renderingfehler?\"}"}}], "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "tool", "name": "vision_analyze", "content": [{"type": "text", "text": "Image loaded into your context — you can see it natively now. Use your built-in vision to answer the user.\n\nQuestion: Kurz prüfen: Ist dies ein vertikaler Mechanism-Explainer-Frame mit sichtbaren animierten/layerartigen Elementen und lesbarer Caption? Gibt es auffällige Renderingfehler?"}, {"type": "image_url", "image_url": {"url": "data:image/jpeg;base64,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"}}], "tool_call_id": "call_9gfOBsYgBQVCB8SZIQiOL0Uz", "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqEYapHK1jQk2xXzZd1jbUpzTnzER93-tt7xqgVz6TKcsVdKiKplSW4QeLCwIjixmMQAX1FAFjupA9I8K2A5Ao2jbOY_MPDzMLfe-_GvnaPdCr_mVODOwUhYttJd5Ol3PGTTVHYBR9axuc1m86OHsEOukmU41zQ28b3GkeV8Y1WQ0LLO_PTLN_fLmmR3geYUt6YtL7UJb8S1e-SiWcjMNWBskGl14VRFnYasEFIlEmCbFVw5ZxaXHdUD6k2xoV5A83s4gQ_QQcZ_gbIvL2u36slqiKQcF9rMzXVp0j6c0P5gHFWlZQXtVppJ4TqewqSpjlp9_d0njKbNvD8Abdhhj1v92xswP_rKaHTRGrwjaY2wvRkEhuOwH9Zm4k69DYeVVlFT2Dv5na3l7KtqcADYjMbY8QmmcOgFSpiFGAKN0m2jYR7um5mse5nTZbminONZAsFybF0jZI6DHRQpFd05oVokrHyfMMSx8Fq_92gYpRgBcSGGGuCOXRFglwFAGgNy0cbjTR6BwiyOm4G7SgaWsAReh-JmJmgKPyWRPK0fYN2sgvR8PkvaaZANIiutcKcnOFOqpI03VM0kPTOLNcf45Jcoez1dTxVNQFjJNlEzTAIOY9PuDGXKP_tmxMQbBxZUNhF_BikJGpo3IWFe1hGanjXBJdgeQZrgyFQg0c8z4h0zgsFx0evHic4HMU7RaS7G3YeQU4ciIlhigNi-65pgQodmtRan8coScHl7ySvVUdwF6O8YSjz6bSMoqle_WoVDLmGQGyQYIxoCQr_cGyUET75wI-jWLnWxx_80Gpmigy0C7k9kd2s_jlH-pPR-xT8DVb-cznHz9tRp6eZeN0Bg9_XkUZUViHzHOe-IPnwAoPWtk-zjKpTTqJOgLafP9qE6AUkPCiOI0UWPKwkjwUO0KBrp1WzkROGKTeM0uWNdZFf7eA6qIYGtVzhL1CdqZozEcLZnozhvpa9MBz5wegt8FHoNEVKtjWs8OgUrZ3ISoZ0yKAnAzr8dYn-O1TwFSMflqhBqshQdlDihqilPPJMUPOZi8nWnBnS3JgaOXuaMAD7STl_R-aJHeI-ORGc6D8iMXVE20iLSc6FEun8Q9SpsujfTU5I2kBzn9Wmsty7kLakfBaYwLdCYoPYJIqUxP-gYZXCaQzYnA553gTVnYXTGwQI5VwRkVBoiFp0UZ2YS1LsAA0op05zpdeMley2RC5hfaHBwsHEtzhmtsT8sZFi_joFYGLSlOlT7p2tlITWJhAc7Mhdll4tO0nEM5XOyw5Nl351Q5DxRuCfuS0x9v3-Oa_5jiJVLuOfYwHxV2EzC2NymjqZeeyOyzwSXkq2x3pTgL6-5AUb_r7qlEpkLYE2aypzt-o0uWHxZtN4QfrPoBRLFKp1anXATizRlMYl1pnv714rJPAoYrdYyFu6fDMFBDuHjgQuxVR7k44ssuUMLO1IxGfbLcye2blw1RRxE-L5Ufl7u6fa0uxO1B944_aBzYh4MGY51oJOoMcdCPBC1luwQRiVtc4NXVFVTupOSSvZprshARE3oYwxc6n62nlG8dTsM7NVa3kjPHBytdQxXnObPa-nxv7ADVvDb6EbVMu24fKPGFCrD-lapi4S9055gaE9YfBT7N6dEya44kmS3rVUJ-Z9QK2QkGVcUG9Yq2JFDoRXbBorh527wlBmeHnzvYi0Ci0e7iVz2fv_vis1bQngHjICY9jVbWOnqloaHZ1qKlWTiioasOb8T1nfqpYVDCPEDPlQ_taUpr879AhV2ev70g0rh26tCVqfPtBQN_Yw1LqHCYWuqcj_MAN1D7faCgAeQMzGjgP6wxxi_CMJ_VVTcnbYkhaf9ZFxcZzYpXIpjOUrMD_0c-AnwZKNej_A-yS0SBAQoI2jY8cG1uQ3ngIE2-GL0YDnMbqj0v1GFbtzup_itHA3yjopx_JJlj-iROBweCBDdzDLCei8rQTakdOvd2hFf9AFgv3XPkRkE_-3aTajEbPKXGGGSmwSlySp5CapqAJurvaaovCrQt-a_0kVbdODuSV_YGY_IWBpWwTJrQBPuR_G1ZljImSXUoH0_OEyRhV5EQc7dmZmrSwewg2RSlO5Z_qSBxc2AeQdT36Fqe9u_rb", "id": "rs_075311f2fb8b3d42016a1186a4d2388191a8eaa42a7de99738", "summary": []}], "tool_calls": [{"id": "call_KdXU1ITo9togoMCz95KZhD55", "call_id": "call_KdXU1ITo9togoMCz95KZhD55", "response_item_id": "fc_075311f2fb8b3d42016a1186a99ae88191bd6e657eca3394c6", "type": "function", "function": {"name": "patch", "arguments": "{\"new_string\":\"from autoshorts.local_motion_renderer import _caption_layout, local_render_jobs, render_local_motion_video\\n\",\"old_string\":\"from autoshorts.local_motion_renderer import local_render_jobs, render_local_motion_video\\n\",\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_local_motion_renderer.py\"}"}}], "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/agent/jarvis_runtime/AutoShortsBot/tests/test_local_motion_renderer.py\\n+++ b//home/agent/jarvis_runtime/AutoShortsBot/tests/test_local_motion_renderer.py\\n@@ -1,7 +1,7 @@\\n import json\\n from pathlib import Path\\n \\n-from autoshorts.local_motion_renderer import local_render_jobs, render_local_motion_video\\n+from autoshorts.local_motion_renderer import _caption_layout, local_render_jobs, render_local_motion_video\\n \\n \\n FIXTURE = Path(\\\"data/free_production_jobs/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.json\\\")\\n\", \"files_modified\": [\"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_local_motion_renderer.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}, \"lsp_diagnostics\": \"LSP diagnostics introduced by this edit:\\n<diagnostics file=\\\"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_local_motion_renderer.py\\\">\\nERROR [4:46] \\\"_caption_layout\\\" is unknown import symbol [reportAttributeAccessIssue] (Pyright)\\n</diagnostics>\"}", "tool_call_id": "call_KdXU1ITo9togoMCz95KZhD55", "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_pEbh8Pipl79A6qzOglhwCxet", "call_id": "call_pEbh8Pipl79A6qzOglhwCxet", "response_item_id": "fc_0e5638e2b7649a65016a1186addad8819181d5da808f2dfc28", "type": "function", "function": {"name": "patch", "arguments": "{\"new_string\":\"def test_caption_layout_keeps_long_german_lines_inside_safe_area():\\n    layout = _caption_layout(\\n        \\\"Röntgenblick durch Preis, Reparaturrisiko, Standtage, Händler-Marge und Liquidität.\\\",\\n        width=180,\\n        height=320,\\n        pulse=0.7,\\n    )\\n\\n    assert layout[\\\"box\\\"][0] >= 0\\n    assert layout[\\\"box\\\"][2] <= 180\\n    assert max(line[\\\"width\\\"] for line in layout[\\\"lines\\\"]) <= layout[\\\"text_max_width\\\"]\\n    assert len(layout[\\\"lines\\\"]) <= 4\\n\\n\\ndef test_local_render_jobs_filters_out_text_only_nvidia_refinement_jobs():\\n\",\"old_string\":\"def test_local_render_jobs_filters_out_text_only_nvidia_refinement_jobs():\\n\",\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_local_motion_renderer.py\"}"}}], "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/agent/jarvis_runtime/AutoShortsBot/tests/test_local_motion_renderer.py\\n+++ b//home/agent/jarvis_runtime/AutoShortsBot/tests/test_local_motion_renderer.py\\n@@ -9,6 +9,20 @@\\n \\n def _jobs() -> dict:\\n     return json.loads(FIXTURE.read_text(encoding=\\\"utf-8\\\"))\\n+\\n+\\n+def test_caption_layout_keeps_long_german_lines_inside_safe_area():\\n+    layout = _caption_layout(\\n+        \\\"Röntgenblick durch Preis, Reparaturrisiko, Standtage, Händler-Marge und Liquidität.\\\",\\n+        width=180,\\n+        height=320,\\n+        pulse=0.7,\\n+    )\\n+\\n+    assert layout[\\\"box\\\"][0] >= 0\\n+    assert layout[\\\"box\\\"][2] <= 180\\n+    assert max(line[\\\"width\\\"] for line in layout[\\\"lines\\\"]) <= layout[\\\"text_max_width\\\"]\\n+    assert len(layout[\\\"lines\\\"]) <= 4\\n \\n \\n def test_local_render_jobs_filters_out_text_only_nvidia_refinement_jobs():\\n\", \"files_modified\": [\"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_local_motion_renderer.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_pEbh8Pipl79A6qzOglhwCxet", "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_7zcciHADsAI8rJXKkteegyJs", "call_id": "call_7zcciHADsAI8rJXKkteegyJs", "response_item_id": "fc_00b06af645999e0f016a1186b72428819181e441b4b0a5ae79", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"pytest tests/test_local_motion_renderer.py::test_caption_layout_keeps_long_german_lines_inside_safe_area -q\",\"timeout\":120,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}"}}], "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \"ERROR: found no collectors for /home/agent/jarvis_runtime/AutoShortsBot/tests/test_local_motion_renderer.py::test_caption_layout_keeps_long_german_lines_inside_safe_area\\n\\n\\n==================================== ERRORS ====================================\\n_____________ ERROR collecting tests/test_local_motion_renderer.py _____________\\nImportError while importing test module '/home/agent/jarvis_runtime/AutoShortsBot/tests/test_local_motion_renderer.py'.\\nHint: make sure your test modules/packages have valid Python names.\\nTraceback:\\n../../.local/share/uv/python/cpython-3.11.15-linux-x86_64-gnu/lib/python3.11/importlib/__init__.py:126: in import_module\\n    return _bootstrap._gcd_import(name[level:], package, level)\\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\ntests/test_local_motion_renderer.py:4: in <module>\\n    from autoshorts.local_motion_renderer import _caption_layout, local_render_jobs, render_local_motion_video\\nE   ImportError: cannot import name '_caption_layout' from 'autoshorts.local_motion_renderer' (/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/local_motion_renderer.py)\\n=========================== short test summary info ============================\\nERROR tests/test_local_motion_renderer.py\\n1 error in 0.06s\", \"exit_code\": 4, \"error\": null}", "tool_call_id": "call_7zcciHADsAI8rJXKkteegyJs", "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "assistant", "content": "", "reasoning": "**Implementing caption layout**\n\nI'm thinking that I need to implement _caption_layout and replace _draw_caption. This sounds like a straightforward task, but I'll need to make sure that the new layout aligns well with the overall design. I want to ensure that everything looks cohesive, so I may have to test it out first. I wonder if there are any edge cases I should consider. Let's see how this goes!", "finish_reason": "tool_calls", "reasoning_content": "**Implementing caption layout**\n\nI'm thinking that I need to implement _caption_layout and replace _draw_caption. This sounds like a straightforward task, but I'll need to make sure that the new layout aligns well with the overall design. I want to ensure that everything looks cohesive, so I may have to test it out first. I wonder if there are any edge cases I should consider. Let's see how this goes!", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqEYa8UGYMj266g8CJ4vU0D0y1-nRNvs2p68HUfhHSDCfhVzQlwl5_riordB1pMu1AeYArQ8Bwk-2S7YxJcMKv-1AunOq1UdSEmO26YUcCO-AsljbPIEB0HCYTrqrCIkmCs-S6vzYFGQB3QYSwY4aIN0M-VqwNEKRNgJPJFgVvn2vrdpdQtzd79xo2cqiWLKoCfwXZNUmPkl94WPumwohi5z-2k7lDWkGJgQHSTMK8Lci3iu64oAGH9NvL5_b2MU0Q-Y9JUmgiKmGWTeHdrXyZ5QKGNfDP0eudGXotiqxHHjTejmqhO-f9tuiO4iVJBma4rja_c3OJMoxHTFBgvdaLDv0CECqfosgIi-J5OCD1j6mPqMDPfx5_XOu8Vwx4x_sG6uSDDEq-bj98HV6w3mYEeSmmNMo7RHgcr0BpD9B_BQrS7_DJqXZk7CrHZJpqvocm_WHmhAFb7j1J4SpLrrIYz8F2M7f6VQ_ntTTfIwp5MTDxbuHmUzVS5NRLKtOCqGws4te7Ivgw7vLvsQjPeN7kGdjHJHAlhkRt0WwW6anRUpqJYl46rACkRyH1VCjzrPGRz5RurcrWBCmZVZjCHJlBA3Szg2W0piaRzO6wYXtS1r7TNUgX78auS4z1COhrxeTImRBHlNtZ-B1k6chpILDc7GxdwYZsTF6GdZ0UEzRoXu7V13ZUfZRdqJwA_YUfvbVjKDa0ZHsM181HcdHqEUuUskcyQCS6qf8EXpHltJ0bFQMieno14Yl6xFM99TfQ-66MYM6pplMjiR7Xg05XNPE89NwQ-h-PNrPOLcIUHGnMMMAwp-cjEG3z_DMha-zXeT00duIreuck2n5y79WqlFLzFF52qs_0bg9I5mxH7i5vcSAHohKgP6_2xbLfiF8Vqfx4qRczT13IzgSZNsP5r5tCiCcJJr84rAP-buE40TLCByQjgqTZOICCrRjDcMiS3stXQY4rT8blgmrSQPrLOS_LpaN5TgQ24QGnbtooxp_BvVr_100=", "id": "rs_09434e827969d7ef016a1186bab8a08191b46804d2a3a8d767", "summary": [{"type": "summary_text", "text": "**Implementing caption layout**\n\nI'm thinking that I need to implement _caption_layout and replace _draw_caption. This sounds like a straightforward task, but I'll need to make sure that the new layout aligns well with the overall design. I want to ensure that everything looks cohesive, so I may have to test it out first. I wonder if there are any edge cases I should consider. Let's see how this goes!"}]}], "tool_calls": [{"id": "call_yafiiOEuhmwjbteqFWFXsLmU", "call_id": "call_yafiiOEuhmwjbteqFWFXsLmU", "response_item_id": "fc_09434e827969d7ef016a1186bcb8fc8191b2e3768b9e270a09", "type": "function", "function": {"name": "patch", "arguments": "{\"old_string\":\"def _draw_caption(draw: ImageDraw.ImageDraw, text: str, width: int, height: int, accent: tuple[int, int, int], pulse: float) -> None:\\n    size = max(22, round(width * (0.062 + 0.014 * pulse)))\\n    font = _font(size, bold=True)\\n    wrapped = _wrap(text, max(12, round(width / (size * 0.52))))\\n    lines = wrapped.splitlines()[:3]\\n    line_boxes = [draw.textbbox((0, 0), line, font=font) for line in lines]\\n    line_heights = [box[3] - box[1] for box in line_boxes]\\n    spacing = max(4, round(size * 0.22))\\n    block_height = sum(line_heights) + spacing * max(0, len(lines) - 1)\\n    pad = round(width * 0.045)\\n    y = height - round(height * 0.21) - block_height // 2\\n    box_top = y - pad\\n    box_bottom = y + block_height + pad\\n    draw.rounded_rectangle(\\n        [round(width * 0.06), box_top, round(width * 0.94), box_bottom],\\n        radius=round(width * 0.035),\\n        fill=(255, 255, 255),\\n        outline=accent,\\n        width=max(2, width // 180),\\n    )\\n    for line, box, line_height in zip(lines, line_boxes, line_heights):\\n        line_width = box[2] - box[0]\\n        draw.text(((width - line_width) // 2, y), line, font=font, fill=(15, 23, 42))\\n        y += line_height + spacing\\n\",\"new_string\":\"def _caption_layout(text: str, width: int, height: int, pulse: float) -> dict[str, Any]:\\n    \\\"\\\"\\\"Calculate a caption layout that stays inside the vertical safe area.\\\"\\\"\\\"\\n    text_max_width = round(width * 0.78)\\n    max_box_width = round(width * 0.88)\\n    max_block_height = round(height * 0.21)\\n    pad = max(8, round(width * 0.035))\\n    preferred_size = max(18, round(width * (0.06 + 0.012 * pulse)))\\n    min_size = max(10, round(width * 0.038))\\n\\n    scratch = Image.new(\\\"RGB\\\", (width, height))\\n    draw = ImageDraw.Draw(scratch)\\n    for size in range(preferred_size, min_size - 1, -1):\\n        font = _font(size, bold=True)\\n        # Width-based wrapping alone is too optimistic for German compound words;\\n        # verify actual pixel width and shrink/re-wrap until it fits.\\n        wrap_chars = max(8, round(text_max_width / (size * 0.5)))\\n        wrapped = _wrap(text, wrap_chars)\\n        raw_lines = wrapped.splitlines()\\n        if len(raw_lines) > 4:\\n            raw_lines = raw_lines[:3] + [\\\" \\\".join(raw_lines[3:])]\\n        spacing = max(4, round(size * 0.20))\\n        lines = []\\n        too_wide = False\\n        for line in raw_lines:\\n            box = draw.textbbox((0, 0), line, font=font)\\n            line_width = box[2] - box[0]\\n            line_height = box[3] - box[1]\\n            if line_width > text_max_width:\\n                too_wide = True\\n                break\\n            lines.append({\\\"text\\\": line, \\\"width\\\": line_width, \\\"height\\\": line_height})\\n        block_height = sum(line[\\\"height\\\"] for line in lines) + spacing * max(0, len(lines) - 1)\\n        if lines and not too_wide and block_height <= max_block_height:\\n            y = height - round(height * 0.205) - block_height // 2\\n            box = [\\n                round((width - max_box_width) / 2),\\n                y - pad,\\n                round((width + max_box_width) / 2),\\n                y + block_height + pad,\\n            ]\\n            return {\\n                \\\"font\\\": font,\\n                \\\"font_size\\\": size,\\n                \\\"lines\\\": lines,\\n                \\\"spacing\\\": spacing,\\n                \\\"box\\\": box,\\n                \\\"text_max_width\\\": text_max_width,\\n                \\\"start_y\\\": y,\\n            }\\n\\n    font = _font(min_size, bold=True)\\n    line = text[:42].rstrip() + (\\\"…\\\" if len(text) > 42 else \\\"\\\")\\n    box = draw.textbbox((0, 0), line, font=font)\\n    return {\\n        \\\"font\\\": font,\\n        \\\"font_size\\\": min_size,\\n        \\\"lines\\\": [{\\\"text\\\": line, \\\"width\\\": box[2] - box[0], \\\"height\\\": box[3] - box[1]}],\\n        \\\"spacing\\\": max(4, round(min_size * 0.20)),\\n        \\\"box\\\": [round(width * 0.06), round(height * 0.72), round(width * 0.94), round(height * 0.84)],\\n        \\\"text_max_width\\\": text_max_width,\\n        \\\"start_y\\\": round(height * 0.76),\\n    }\\n\\n\\ndef _draw_caption(draw: ImageDraw.ImageDraw, text: str, width: int, height: int, accent: tuple[int, int, int], pulse: float) -> None:\\n    layout = _caption_layout(text, width, height, pulse)\\n    draw.rounded_rectangle(\\n        layout[\\\"box\\\"],\\n        radius=round(width * 0.035),\\n        fill=(255, 255, 255),\\n        outline=accent,\\n        width=max(2, width // 180),\\n    )\\n    y = layout[\\\"start_y\\\"]\\n    for line in layout[\\\"lines\\\"]:\\n        x = (width - line[\\\"width\\\"]) // 2\\n        draw.text((x, y), line[\\\"text\\\"], font=layout[\\\"font\\\"], fill=(15, 23, 42))\\n        y += line[\\\"height\\\"] + layout[\\\"spacing\\\"]\\n\"}"}}], "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "tool", "name": "patch", "content": "{\"error\": \"path required\"}", "tool_call_id": "call_yafiiOEuhmwjbteqFWFXsLmU", "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqEYbYQNgupSa9Jw5s1OvoaNPAV61gCqL00ClRZEMcgprXxypqeWqUNtR0kZaV5o4vDMrVmS3ZkCgRNk9_4_KJLbJbrUWejYNPv3qx22gIfLV77I61-ztdAS8x4bsLLw8mbLCaYm8ZLlnNlotflRIHGXeYim-zH2_32Y32TytLGM-eom1cTCOhHABwOuLmwMqk7DuAwGtJKbpfuflCPZZVRbRgb1zcy-rI_4nJnOIuO9mqKgvCSv0TWiyCabfgCYIRgp6lCqF0f33wLWURg1g0i9rCE1DL8A3ya0SH3RIsYaYol3bPi_eDkvNcbodlyBYynn6Bze0t2KzYapobMFORaq5XgiQ7HBNfv1M96p1eCsNMvhLjMnoUMywxtwztfOZfDFgXp4_X3MmLi3-HEZGUN5rzdnDLCzgBMQDWBMP8aXKOBf7SCaNMMlE03M35I5wx6PRR2XhrkTZOHC2xkQnQOiUJOb0R6z6w5nQw1uDsid-DTutoJBoMSfykWhQZeQEtNvk1uVRvo2NFpNsfqC7ZqECkoa3G89SexljS7ziB2Qd4QG_X65Uwv47d4kn6vJeI8vJvTN-QaejvGAChNXoq3EYzk_xsnkCEte9AZeyZQDd5BdU4t-iczudyC0c3AEZMTeZRj3rIcSpR5jKtciR-63Wii0L0hgEKNXXtYrxg3ToBpJ5OXTgUuVfEBWKFFHpxmrW_mAO_vkDARf9IKDp8AauscMwTdAjoZb9IQkBjWimwIDblIqgiWqZYF3LUtXohMd_eDmCt6af8ZLHvZTR6_61GlZNkkDv7siVzM_yCt1_zhB21s5LkvOOTx4Fj6uXOeVXE_VWVEE2-lXoDs61Fxs4JPb_AIIFTBZ39gLnvlWfA8cTmHVzseIadVRHnDQyJcM26gniM_AiYxQSM-XH-hHs26WYVze0yN_qerph5AOijaaU=", "id": "rs_08c88ea2a01708bd016a1186d7662c8191b6a20f5e0e4ef3ca", "summary": []}], "tool_calls": [{"id": "call_gwZ2UiFKGxVo3kgTWluFzM8N", "call_id": "call_gwZ2UiFKGxVo3kgTWluFzM8N", "response_item_id": "fc_08c88ea2a01708bd016a1186d805a08191b2771d52a9b8b019", "type": "function", "function": {"name": "patch", "arguments": "{\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/local_motion_renderer.py\",\"new_string\":\"def _caption_layout(text: str, width: int, height: int, pulse: float) -> dict[str, Any]:\\n    \\\"\\\"\\\"Calculate a caption layout that stays inside the vertical safe area.\\\"\\\"\\\"\\n    text_max_width = round(width * 0.78)\\n    max_box_width = round(width * 0.88)\\n    max_block_height = round(height * 0.21)\\n    pad = max(8, round(width * 0.035))\\n    preferred_size = max(18, round(width * (0.06 + 0.012 * pulse)))\\n    min_size = max(10, round(width * 0.038))\\n\\n    scratch = Image.new(\\\"RGB\\\", (width, height))\\n    draw = ImageDraw.Draw(scratch)\\n    for size in range(preferred_size, min_size - 1, -1):\\n        font = _font(size, bold=True)\\n        # Width-based wrapping alone is too optimistic for German compound words;\\n        # verify actual pixel width and shrink/re-wrap until it fits.\\n        wrap_chars = max(8, round(text_max_width / (size * 0.5)))\\n        wrapped = _wrap(text, wrap_chars)\\n        raw_lines = wrapped.splitlines()\\n        if len(raw_lines) > 4:\\n            raw_lines = raw_lines[:3] + [\\\" \\\".join(raw_lines[3:])]\\n        spacing = max(4, round(size * 0.20))\\n        lines = []\\n        too_wide = False\\n        for line in raw_lines:\\n            box = draw.textbbox((0, 0), line, font=font)\\n            line_width = box[2] - box[0]\\n            line_height = box[3] - box[1]\\n            if line_width > text_max_width:\\n                too_wide = True\\n                break\\n            lines.append({\\\"text\\\": line, \\\"width\\\": line_width, \\\"height\\\": line_height})\\n        block_height = sum(line[\\\"height\\\"] for line in lines) + spacing * max(0, len(lines) - 1)\\n        if lines and not too_wide and block_height <= max_block_height:\\n            y = height - round(height * 0.205) - block_height // 2\\n            box = [\\n                round((width - max_box_width) / 2),\\n                y - pad,\\n                round((width + max_box_width) / 2),\\n                y + block_height + pad,\\n            ]\\n            return {\\n                \\\"font\\\": font,\\n                \\\"font_size\\\": size,\\n                \\\"lines\\\": lines,\\n                \\\"spacing\\\": spacing,\\n                \\\"box\\\": box,\\n                \\\"text_max_width\\\": text_max_width,\\n                \\\"start_y\\\": y,\\n            }\\n\\n    font = _font(min_size, bold=True)\\n    line = text[:42].rstrip() + (\\\"…\\\" if len(text) > 42 else \\\"\\\")\\n    box = draw.textbbox((0, 0), line, font=font)\\n    return {\\n        \\\"font\\\": font,\\n        \\\"font_size\\\": min_size,\\n        \\\"lines\\\": [{\\\"text\\\": line, \\\"width\\\": box[2] - box[0], \\\"height\\\": box[3] - box[1]}],\\n        \\\"spacing\\\": max(4, round(min_size * 0.20)),\\n        \\\"box\\\": [round(width * 0.06), round(height * 0.72), round(width * 0.94), round(height * 0.84)],\\n        \\\"text_max_width\\\": text_max_width,\\n        \\\"start_y\\\": round(height * 0.76),\\n    }\\n\\n\\ndef _draw_caption(draw: ImageDraw.ImageDraw, text: str, width: int, height: int, accent: tuple[int, int, int], pulse: float) -> None:\\n    layout = _caption_layout(text, width, height, pulse)\\n    draw.rounded_rectangle(\\n        layout[\\\"box\\\"],\\n        radius=round(width * 0.035),\\n        fill=(255, 255, 255),\\n        outline=accent,\\n        width=max(2, width // 180),\\n    )\\n    y = layout[\\\"start_y\\\"]\\n    for line in layout[\\\"lines\\\"]:\\n        x = (width - line[\\\"width\\\"]) // 2\\n        draw.text((x, y), line[\\\"text\\\"], font=layout[\\\"font\\\"], fill=(15, 23, 42))\\n        y += line[\\\"height\\\"] + layout[\\\"spacing\\\"]\\n\",\"old_string\":\"def _draw_caption(draw: ImageDraw.ImageDraw, text: str, width: int, height: int, accent: tuple[int, int, int], pulse: float) -> None:\\n    size = max(22, round(width * (0.062 + 0.014 * pulse)))\\n    font = _font(size, bold=True)\\n    wrapped = _wrap(text, max(12, round(width / (size * 0.52))))\\n    lines = wrapped.splitlines()[:3]\\n    line_boxes = [draw.textbbox((0, 0), line, font=font) for line in lines]\\n    line_heights = [box[3] - box[1] for box in line_boxes]\\n    spacing = max(4, round(size * 0.22))\\n    block_height = sum(line_heights) + spacing * max(0, len(lines) - 1)\\n    pad = round(width * 0.045)\\n    y = height - round(height * 0.21) - block_height // 2\\n    box_top = y - pad\\n    box_bottom = y + block_height + pad\\n    draw.rounded_rectangle(\\n        [round(width * 0.06), box_top, round(width * 0.94), box_bottom],\\n        radius=round(width * 0.035),\\n        fill=(255, 255, 255),\\n        outline=accent,\\n        width=max(2, width // 180),\\n    )\\n    for line, box, line_height in zip(lines, line_boxes, line_heights):\\n        line_width = box[2] - box[0]\\n        draw.text(((width - line_width) // 2, y), line, font=font, fill=(15, 23, 42))\\n        y += line_height + spacing\\n\"}"}}], "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/agent/jarvis_runtime/AutoShortsBot/autoshorts/local_motion_renderer.py\\n+++ b//home/agent/jarvis_runtime/AutoShortsBot/autoshorts/local_motion_renderer.py\\n@@ -62,30 +62,84 @@\\n     return 0.5 - math.cos(progress * math.pi) / 2\\n \\n \\n+def _caption_layout(text: str, width: int, height: int, pulse: float) -> dict[str, Any]:\\n+    \\\"\\\"\\\"Calculate a caption layout that stays inside the vertical safe area.\\\"\\\"\\\"\\n+    text_max_width = round(width * 0.78)\\n+    max_box_width = round(width * 0.88)\\n+    max_block_height = round(height * 0.21)\\n+    pad = max(8, round(width * 0.035))\\n+    preferred_size = max(18, round(width * (0.06 + 0.012 * pulse)))\\n+    min_size = max(10, round(width * 0.038))\\n+\\n+    scratch = Image.new(\\\"RGB\\\", (width, height))\\n+    draw = ImageDraw.Draw(scratch)\\n+    for size in range(preferred_size, min_size - 1, -1):\\n+        font = _font(size, bold=True)\\n+        # Width-based wrapping alone is too optimistic for German compound words;\\n+        # verify actual pixel width and shrink/re-wrap until it fits.\\n+        wrap_chars = max(8, round(text_max_width / (size * 0.5)))\\n+        wrapped = _wrap(text, wrap_chars)\\n+        raw_lines = wrapped.splitlines()\\n+        if len(raw_lines) > 4:\\n+            raw_lines = raw_lines[:3] + [\\\" \\\".join(raw_lines[3:])]\\n+        spacing = max(4, round(size * 0.20))\\n+        lines = []\\n+        too_wide = False\\n+        for line in raw_lines:\\n+            box = draw.textbbox((0, 0), line, font=font)\\n+            line_width = box[2] - box[0]\\n+            line_height = box[3] - box[1]\\n+            if line_width > text_max_width:\\n+                too_wide = True\\n+                break\\n+            lines.append({\\\"text\\\": line, \\\"width\\\": line_width, \\\"height\\\": line_height})\\n+        block_height = sum(line[\\\"height\\\"] for line in lines) + spacing * max(0, len(lines) - 1)\\n+        if lines and not too_wide and block_height <= max_block_height:\\n+            y = height - round(height * 0.205) - block_height // 2\\n+            box = [\\n+                round((width - max_box_width) / 2),\\n+                y - pad,\\n+                round((width + max_box_width) / 2),\\n+                y + block_height + pad,\\n+            ]\\n+            return {\\n+                \\\"font\\\": font,\\n+                \\\"font_size\\\": size,\\n+                \\\"lines\\\": lines,\\n+                \\\"spacing\\\": spacing,\\n+                \\\"box\\\": box,\\n+                \\\"text_max_width\\\": text_max_width,\\n+                \\\"start_y\\\": y,\\n+            }\\n+\\n+    font = _font(min_size, bold=True)\\n+    line = text[:42].rstrip() + (\\\"…\\\" if len(text) > 42 else \\\"\\\")\\n+    box = draw.textbbox((0, 0), line, font=font)\\n+    return {\\n+        \\\"font\\\": font,\\n+        \\\"font_size\\\": min_size,\\n+        \\\"lines\\\": [{\\\"text\\\": line, \\\"width\\\": box[2] - box[0], \\\"height\\\": box[3] - box[1]}],\\n+        \\\"spacing\\\": max(4, round(min_size * 0.20)),\\n+        \\\"box\\\": [round(width * 0.06), round(height * 0.72), round(width * 0.94), round(height * 0.84)],\\n+        \\\"text_max_width\\\": text_max_width,\\n+        \\\"start_y\\\": round(height * 0.76),\\n+    }\\n+\\n+\\n def _draw_caption(draw: ImageDraw.ImageDraw, text: str, width: int, height: int, accent: tuple[int, int, int], pulse: float) -> None:\\n-    size = max(22, round(width * (0.062 + 0.014 * pulse)))\\n-    font = _font(size, bold=True)\\n-    wrapped = _wrap(text, max(12, round(width / (size * 0.52))))\\n-    lines = wrapped.splitlines()[:3]\\n-    line_boxes = [draw.textbbox((0, 0), line, font=font) for line in lines]\\n-    line_heights = [box[3] - box[1] for box in line_boxes]\\n-    spacing = max(4, round(size * 0.22))\\n-    block_height = sum(line_heights) + spacing * max(0, len(lines) - 1)\\n-    pad = round(width * 0.045)\\n-    y = height - round(height * 0.21) - block_height // 2\\n-    box_top = y - pad\\n-    box_bottom = y + block_height + pad\\n+    layout = _caption_layout(text, width, height, pulse)\\n     draw.rounded_rectangle(\\n-        [round(width * 0.06), box_top, round(width * 0.94), box_bottom],\\n+        layout[\\\"box\\\"],\\n         radius=round(width * 0.035),\\n         fill=(255, 255, 255),\\n         outline=accent,\\n         width=max(2, width // 180),\\n     )\\n-    for line, box, line_height in zip(lines, line_boxes, line_heights):\\n-        line_width = box[2] - box[0]\\n-        draw.text(((width - line_width) // 2, y), line, font=font, fill=(15, 23, 42))\\n-        y += line_height + spacing\\n+    y = layout[\\\"start_y\\\"]\\n+    for line in layout[\\\"lines\\\"]:\\n+        x = (width - line[\\\"width\\\"]) // 2\\n+        draw.text((x, y), line[\\\"text\\\"], font=layout[\\\"font\\\"], fill=(15, 23, 42))\\n+        y += line[\\\"height\\\"] + layout[\\\"spacing\\\"]\\n \\n \\n def _draw_car(draw: ImageDraw.ImageDraw, width: int, height: int, progress: float, accent: tuple[int, int, int]) -> None:\\n\", \"files_modified\": [\"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/local_motion_renderer.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_gwZ2UiFKGxVo3kgTWluFzM8N", "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_qDXLPUURAe9YB2DyA37eR9IY", "call_id": "call_qDXLPUURAe9YB2DyA37eR9IY", "response_item_id": "fc_0c2900c6bc47b1d4016a1186f6686c819185cda5d97f00a45b", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"pytest tests/test_local_motion_renderer.py -q\",\"timeout\":180,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}"}}], "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \"F..                                                                      [100%]\\n=================================== FAILURES ===================================\\n_________ test_caption_layout_keeps_long_german_lines_inside_safe_area _________\\n\\n    def test_caption_layout_keeps_long_german_lines_inside_safe_area():\\n        layout = _caption_layout(\\n            \\\"Röntgenblick durch Preis, Reparaturrisiko, Standtage, Händler-Marge und Liquidität.\\\",\\n            width=180,\\n            height=320,\\n            pulse=0.7,\\n        )\\n    \\n        assert layout[\\\"box\\\"][0] >= 0\\n        assert layout[\\\"box\\\"][2] <= 180\\n>       assert max(line[\\\"width\\\"] for line in layout[\\\"lines\\\"]) <= layout[\\\"text_max_width\\\"]\\nE       assert 251 <= 140\\nE        +  where 251 = max(<generator object test_caption_layout_keeps_long_german_lines_inside_safe_area.<locals>.<genexpr> at 0x775fedf160c0>)\\n\\ntests/test_local_motion_renderer.py:24: AssertionError\\n=========================== short test summary info ============================\\nFAILED tests/test_local_motion_renderer.py::test_caption_layout_keeps_long_german_lines_inside_safe_area\\n1 failed, 2 passed in 1.72s\", \"exit_code\": 1, \"error\": null}", "tool_call_id": "call_qDXLPUURAe9YB2DyA37eR9IY", "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "assistant", "content": "", "reasoning": "**Truncating fallback line**\n\nI'm realizing that the fallback line is too long. I need to make sure it fits, so I'll have to truncate it. To do this efficiently, I’ll implement a helper function that uses a loop until it meets the desired length. There’s probably a clean way to handle this! I want to ensure it works well to avoid any errors or issues that could arise. Alright, let's get started on making that helper!", "finish_reason": "tool_calls", "reasoning_content": "**Truncating fallback line**\n\nI'm realizing that the fallback line is too long. I need to make sure it fits, so I'll have to truncate it. To do this efficiently, I’ll implement a helper function that uses a loop until it meets the desired length. There’s probably a clean way to handle this! I want to ensure it works well to avoid any errors or issues that could arise. Alright, let's get started on making that helper!", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqEYb9b5vfgzfIwSn5HCIQ7h5MoUrVUq1pyl9lfJ6uE0Wx23CS4YwXWuXmol-LNOvu9ZlbzhrXxyRAx_bye4M6s_Y_CsaazQ0bzM9VTKKX-pyYuqse5UilbGhbm07soUZXG8k-ztgFb5XS_Te49PQB4aFQ4PHcsySPgY4CNTOC6cpRJ1P0PMvV1vnHTy_mdbEEEvj2Oqhh5CjxFq5JZnwNKZByS7wPcTXut8_umEZHV_pIDLcHYAmGmT-HUKEdpVSscy-bKuBQKycowHvxByWZ7XSGcpwXnURdcfKmqunLNHzt5MDPkDgeatTWah6V3vvaLb7WsgLxVgif6i8b2U1zhZ1TLjllbJSYIiV6P_avTlPfC0FvQX_FsZycnBn0dAiOhSwoTUrA_U_Q5bWIyzd9uSsny5UyEiHfT6rSeYUMoJ_ivldV3m9m83kxBWp9_dXSFuSpkfvFRNl24kcgwx0uLNnODgf38aFGWfRukja4a4RQd4P2IqYErqTZvO8s7_FvBOrIVolhNMKpx2ZlBxnvUQE_YwiQw9BqNPNr23GuSWSAIG0jkduh9GChQn3cbQfTMXUrOelnAkgm5S5pmYFqcpkLbnmFv4lq_bJFoQNary3t6MndZi9Fipn8KyAaZBA5LjGKI9D_JkdIXiLV8BMzHbdPXm-VnZui3bNLzrhUN5PGvQB9wLe-i9IIXXyRi_cppt0zz9ASWcz6EfIF3KBCj-719DEok9mqmzMRzzCVdgolb_masyJeAZzVub7GCzRJ2g8Sh7KQZqoCeYX8L_tJI6xSA7lGWDsFwQGsXG4a1JbG4YuHKrjnWjS7yNxxGr3sxcgQDSZOj4_abrG4Z3TuFXtnjF7FQz8QktFeOIXGCKNb8IafYE3XIX6zOH2jpaO_0115DKg-JalkxQCKQZ-PfdbkiAL9t6M-dt_1hY8plklktAEux0GMAY-muNhp-4v5nxCu6sJ_eNvWtxKRGgaPObWTsl6jTvTz0Ye7Gv98LJrpviC1exftNW5ieCNyeHXYQEfHTOirSOQF66FafgthPbaxog==", "id": "rs_0efb1829cb98b433016a1186fb654c819194d1777b9a357fce", "summary": [{"type": "summary_text", "text": "**Truncating fallback line**\n\nI'm realizing that the fallback line is too long. I need to make sure it fits, so I'll have to truncate it. To do this efficiently, I’ll implement a helper function that uses a loop until it meets the desired length. There’s probably a clean way to handle this! I want to ensure it works well to avoid any errors or issues that could arise. Alright, let's get started on making that helper!"}]}], "tool_calls": [{"id": "call_T3O5XbbSpVhdlS6kFJb9ByFB", "call_id": "call_T3O5XbbSpVhdlS6kFJb9ByFB", "response_item_id": "fc_0efb1829cb98b433016a1186fd661c8191b26a42808793eaf2", "type": "function", "function": {"name": "patch", "arguments": "{\"new_string\":\"    font = _font(min_size, bold=True)\\n    line = text\\n    suffix = \\\"…\\\" if len(text) > 1 else \\\"\\\"\\n    while line:\\n        candidate = line.rstrip() + suffix\\n        box = draw.textbbox((0, 0), candidate, font=font)\\n        if box[2] - box[0] <= text_max_width:\\n            break\\n        line = line[:-1]\\n    candidate = (line.rstrip() + suffix) if line else \\\"…\\\"\\n    box = draw.textbbox((0, 0), candidate, font=font)\\n    return {\\n        \\\"font\\\": font,\\n        \\\"font_size\\\": min_size,\\n        \\\"lines\\\": [{\\\"text\\\": candidate, \\\"width\\\": box[2] - box[0], \\\"height\\\": box[3] - box[1]}],\\n\",\"old_string\":\"    font = _font(min_size, bold=True)\\n    line = text[:42].rstrip() + (\\\"…\\\" if len(text) > 42 else \\\"\\\")\\n    box = draw.textbbox((0, 0), line, font=font)\\n    return {\\n        \\\"font\\\": font,\\n        \\\"font_size\\\": min_size,\\n        \\\"lines\\\": [{\\\"text\\\": line, \\\"width\\\": box[2] - box[0], \\\"height\\\": box[3] - box[1]}],\\n\",\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/local_motion_renderer.py\"}"}}], "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/agent/jarvis_runtime/AutoShortsBot/autoshorts/local_motion_renderer.py\\n+++ b//home/agent/jarvis_runtime/AutoShortsBot/autoshorts/local_motion_renderer.py\\n@@ -113,12 +113,20 @@\\n             }\\n \\n     font = _font(min_size, bold=True)\\n-    line = text[:42].rstrip() + (\\\"…\\\" if len(text) > 42 else \\\"\\\")\\n-    box = draw.textbbox((0, 0), line, font=font)\\n+    line = text\\n+    suffix = \\\"…\\\" if len(text) > 1 else \\\"\\\"\\n+    while line:\\n+        candidate = line.rstrip() + suffix\\n+        box = draw.textbbox((0, 0), candidate, font=font)\\n+        if box[2] - box[0] <= text_max_width:\\n+            break\\n+        line = line[:-1]\\n+    candidate = (line.rstrip() + suffix) if line else \\\"…\\\"\\n+    box = draw.textbbox((0, 0), candidate, font=font)\\n     return {\\n         \\\"font\\\": font,\\n         \\\"font_size\\\": min_size,\\n-        \\\"lines\\\": [{\\\"text\\\": line, \\\"width\\\": box[2] - box[0], \\\"height\\\": box[3] - box[1]}],\\n+        \\\"lines\\\": [{\\\"text\\\": candidate, \\\"width\\\": box[2] - box[0], \\\"height\\\": box[3] - box[1]}],\\n         \\\"spacing\\\": max(4, round(min_size * 0.20)),\\n         \\\"box\\\": [round(width * 0.06), round(height * 0.72), round(width * 0.94), round(height * 0.84)],\\n         \\\"text_max_width\\\": text_max_width,\\n\", \"files_modified\": [\"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/local_motion_renderer.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_T3O5XbbSpVhdlS6kFJb9ByFB", "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_33WaXUX9J1QyJKj0NyCqN4fy", "call_id": "call_33WaXUX9J1QyJKj0NyCqN4fy", "response_item_id": "fc_0fc4be2aa452dede016a118705d5348191b060516611045231", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"pytest tests/test_local_motion_renderer.py -q\",\"timeout\":180,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}"}}], "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \"...                                                                      [100%]\\n3 passed in 2.50s\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_33WaXUX9J1QyJKj0NyCqN4fy", "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "assistant", "content": "", "reasoning": "**Rerendering adjustments**\n\nI need to think about how to adjust the rendering. Maybe I should set the caption to display fully at 540 instead of truncating it. If the layout doesn’t fit, there might be issues with the lines. It seems like I could tweak it to improve the overall presentation. I’ll go ahead and try rendering it again with these modifications in mind!", "finish_reason": "tool_calls", "reasoning_content": "**Rerendering adjustments**\n\nI need to think about how to adjust the rendering. Maybe I should set the caption to display fully at 540 instead of truncating it. If the layout doesn’t fit, there might be issues with the lines. It seems like I could tweak it to improve the overall presentation. I’ll go ahead and try rendering it again with these modifications in mind!", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqEYcN5MMoX3NP5AEA9TidX4FPMosoOXV85RS3sciqTc9iQgxtn19Ulp_mtV48O2br3c08F7CvOseDU9hAYXuUthVlShZJm27lfBY_5EbyFoP7Z30tmbPkvR0BwzGGstONtRke9hOodQZ9-vLw_9eDFtxmbTwASWc0Z6Z8opusLwRe9rTWLyLwsYgLyzGaMGKdoOMB8EwnjqI4No2cQC92xEqQfoLGjNasjP56rev8j4DjAUvE2iY2WB7xKTUcUiPWluqeJ4YnbJFPZj-nyH5WLyR0_2Xa4JjJ6cg4-IYNcKXe2ttpHpF1PomFQftTN7LBCZMrLMmHz1bIkUMBh-SHNc25Wrznc4-aiW7iJLlWUH_AjzXTruTfHliWuBSmmgrmbw_Gs-62Nl3brHRZdzra6rH10WZqqvyXfAgwv3fp94DcqV2LLJemK81XyysPXYGVRchcJvtzmBqJj84Eyr2Ec9W9bT7OJV6BwL3feAzyOe3XdUfBdl3lxM705usC232ohF_yP-6W_RI7D4Q_ktFvsBaAKyrtBCkk6T9Y6hL7RFXdT-21gWUrnHgVEQY5gR7M9tLDPS_e4OFW9Gk7FYr2Qxz25nEpXo2vOsmk4wVPbQVBH9dQGpJnZFJwOeIFhDTlN7YYlFwh6ZftEmhKm1Qtb8ELpPBqnkgaUTQH9YPpSFPXTsNVMwqsJlEUOWMEjAWtS25Zzgp8kiyLZhlUDr2-122WXsN6Hb0sverm7R8m8Ny0X9s98E8HbvD5iqxg04htBqZ7a9CWhDyvVI01Stk3BbPxoatfZsJ2pbvtldx9Ue2yu4KczL28fEkYoT47OoUogm0BC6ruFa8YitLMhdOpZEnPLKXerbrLYC8tI5mvL8Q9eIzhot_6LJa1Ma6JLebWnC99BsMWw2GUcnlcEHeXxvyY6uD8i0qYj8Cx-cJvZQbeP_WK5o567-HnkCrAAqerejQ5tYAjOUAFxX3uCwIfRw3OVli2hhwKLCcLGcRzJFI6VMiez53QhkgUHvOts9FS9DrvlfvCU2nI7_X242CyutTs94nVFKNeDe-Cw7u1reYIK28Bd1vICeFj9sYEMEaAV0y5", "id": "rs_008bc0d17d713bdc016a11870bf4fc8191b8aacbbd17bf4766", "summary": [{"type": "summary_text", "text": "**Rerendering adjustments**\n\nI need to think about how to adjust the rendering. Maybe I should set the caption to display fully at 540 instead of truncating it. If the layout doesn’t fit, there might be issues with the lines. It seems like I could tweak it to improve the overall presentation. I’ll go ahead and try rendering it again with these modifications in mind!"}]}], "tool_calls": [{"id": "call_ABxRk3qybitSCcTVNjo9ga9Y", "call_id": "call_ABxRk3qybitSCcTVNjo9ga9Y", "response_item_id": "fc_008bc0d17d713bdc016a11870db6388191929694c4cf68f1e7", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"python scripts/render_free_local_motion.py --jobs data/free_production_jobs/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.json --out-dir data/local_motion_renders/mechanism_pilots --width 540 --height 960 --fps 15 && ffmpeg -y -ss 00:00:08 -i data/local_motion_renders/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.mp4 -frames:v 1 /tmp/autoshorts_preview_check/frame_8s_fixed.jpg >/dev/null 2>&1\",\"timeout\":600,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}"}}], "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \"Rendered local motion video: data/local_motion_renders/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.mp4\\nMetadata: data/local_motion_renders/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.json\\nScenes: 5 | duration: 34s | fps: 15\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_ABxRk3qybitSCcTVNjo9ga9Y", "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_FMUDPBvHNxqy0HAlB72rLqTP", "call_id": "call_FMUDPBvHNxqy0HAlB72rLqTP", "response_item_id": "fc_09af77c0cfefed21016a11872423d48191b4a7c151d5be365d", "type": "function", "function": {"name": "vision_analyze", "arguments": "{\"image_url\":\"/tmp/autoshorts_preview_check/frame_8s_fixed.jpg\",\"question\":\"Prüfe den gerenderten Frame nach dem Caption-Fix: Ist die Caption vollständig innerhalb des weißen Kastens und des Bildes? Sind Mechanism-Layer/Auto erkennbar? Kurze Qualitätsdiagnose.\"}"}}], "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "tool", "name": "vision_analyze", "content": [{"type": "text", "text": "Image loaded into your context — you can see it natively now. Use your built-in vision to answer the user.\n\nQuestion: Prüfe den gerenderten Frame nach dem Caption-Fix: Ist die Caption vollständig innerhalb des weißen Kastens und des Bildes? Sind Mechanism-Layer/Auto erkennbar? Kurze Qualitätsdiagnose."}, {"type": "image_url", "image_url": {"url": "data:image/jpeg;base64,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"}}], "tool_call_id": "call_FMUDPBvHNxqy0HAlB72rLqTP", "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqEYcplrSJU8kwToWclgcajG267AQQ4DHiEUHfmbz7clwOyVjHwZCIfCYAuID3AMpTs4q0Cjr7BpMl2cAjFiqfcn0dA8OglKo6eFjvsod__TKjbrEhT9pcl2jPwZNgpN_e6_WzU7KpR2TU_7PfMf7x0kmTLAGWPIBUBBwhu2ocsn8QflXirVqxPFuBCvaZV5Eq9goPtlGE9a4pbxfMX02qXK0LDKiO_Yo6Y7poU7yfzcN7CQPu8ux-j0O3N8ahpsIop8iFQJFTlVkDZVw1CaOGWh9DwPz4UBp1vNppfaf4XVIw5xGNfhpC_GhcQVqrvcpV3rlfS9uKQontBUYXCBpvyyU--BdjaTxB1H5g5nCcoSPfqsEgu4XGKssMq6QEtogAM343kiLfV2Pd0kxKTuADanIQ5ntr2BnNvlhgyRdvKhQOD-2SgWeoYn7GZrnVQ2FBRFjJSm3Sf9zhKk1RI8MZ00KpHaiizZGT14K5-Wn5hi6NF3ZdYERpXavl5ZiZ7hNa4n7EYAs3WB5gUG5TuyLxpWCRfNkxpNMoAVUxWOcC7dOYaTAKQi6LQyi6U9MGCHO1s3huXP8EnnTGoQ0Se1mBB0Q3RgSKLHA_gvrDpvj9JVbDHDnmCZDAkucgegEkvOqzmn0Zpiqr_ViJ7P0BlytJg833oF6WGagcoBtQ5xjoCHf_AgEwpqHvJR-4Rt0t3n8DD8jBCFNJPBF63ppP4Mt2-R46zRwmjimwh0WBKkuH0wmB32AxL7o5CS1JENdDWDABW5qnL3iyMikp0pKDCyOlcBfJirqtASQGHCIx2jJA7UdlZHGvO49JIZnG-CBuDf5yjd9PBXNCdTxhcAXak4SKTrIh9dwcEqRG4bsq8Y_UU56L4lG2DUzyvy1Lg20zX3mEH_Qq0ekbWWjtjvtZ8xMONx9MJSoOryt9Q1M7KzbHqhFXcOVJtoh98tWZa_wcbQXOV6UURpLzokLJ03ZoSFxEK8aS8Uj2vw8p5yC_3T7cYyPgO_MAoHkMKCAtde8kKl-AylT87NSuNG8cyViemNyoeIHEcTJIYX8NFBdBMQguEbsa19nnsrtocqCg0F2rulG6UprbWd0Z8wsX7LaKxL39JL0WlT44ADydyoe5XElfiZ6doVY_QwA2HRIN428CCnu_oyC4JSAHO_LP7ZHkP8t2sBN_nKMQdE9Q_U75Av0Qo_uGWmGhUTwIwrNhL91RmE_MDkc52ZT0G21xp8ClyV1lu94wonOI1uCwSj4dJ6x6ys2Ooqu4cON-eJxWRvKUSqFULsYfGWiZJJqg_FcKx0fLShxKD_AnGLSd3Yg_yoYy5FKXv1WIE-BTCjyekYL8AfAyzio0vw3cNy6Ngw5azkz4LNKPK0uEAfrS4z_yPCfWuPzQmIAGFvpng6h3XvDvzNsRwHRVGtyHQHr0--eJyuDlMfTKPSzA3rh5tm2H5IFKdux9Iy9Q78sK6Vo2E4WG69j3sqS9z7EkYMGGnsTL7IUb4Lt1rmT_U5izrwfPz0foxLRfbDT1scpfZ2QXZiMQuO0gh4cxBEDgW23cnu2jHqwc_H90f49PXK4V3ybJjjj2sj6Uo2ffQ7SfNDFFDs6TmPDW1Q7cz6BtQGmzr-HB1bUBtlXRiJPYnEs-40D16mLkjdYewyu-FZ2Is0shIE76JlhqfTkISBbp4yzT4L2fBt-wsUZzXg==", "id": "rs_090ee1156d1af73a016a11872731f0819197324c609bdd7a8f", "summary": []}], "tool_calls": [{"id": "call_83FgQEDBjnzlqQP8RPi0iyCz", "call_id": "call_83FgQEDBjnzlqQP8RPi0iyCz", "response_item_id": "fc_090ee1156d1af73a016a118729e3d881918815a7a564e5fe9f", "type": "function", "function": {"name": "search_files", "arguments": "{\"pattern\":\"Röntgenblick\",\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot\",\"target\":\"content\",\"limit\":20,\"file_glob\":\"*.json\"}"}}], "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "tool", "name": "search_files", "content": "{\"total_count\": 6, \"matches\": [{\"path\": \"/home/agent/jarvis_runtime/AutoShortsBot/data/retention_studio/mechanism_explainers.json\", \"line\": 31, \"content\": \"        \\\"voiceover\\\": \\\"Röntgenblick durch Preis, Reparaturrisiko, Standtage, Händler-Marge und Liquidität.\\\",\"}, {\"path\": \"/home/agent/jarvis_runtime/AutoShortsBot/data/retention_studio/pilot_ideas.json\", \"line\": 6, \"content\": \"    \\\"mechanism\\\": \\\"Röntgenblick durch Preis, Reparaturrisiko, Standtage, Händler-Marge und Liquidität.\\\",\"}, {\"path\": \"/home/agent/jarvis_runtime/AutoShortsBot/data/free_production_jobs/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.json\", \"line\": 106, \"content\": \"      \\\"overlay_text\\\": \\\"Röntgenblick durch Preis, Reparaturrisiko, Standtage, Händler-Marge und\\\",\"}, {\"path\": \"/home/agent/jarvis_runtime/AutoShortsBot/data/asset_plans/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.json\", \"line\": 52, \"content\": \"      \\\"overlay_text\\\": \\\"Röntgenblick durch Preis, Reparaturrisiko, Standtage, Händler-Marge und\\\",\"}, {\"path\": \"/home/agent/jarvis_runtime/AutoShortsBot/data/render_manifests/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.json\", \"line\": 97, \"content\": \"      \\\"text\\\": \\\"Röntgenblick durch Preis, Reparaturrisiko, Standtage, Händler-Marge und\\\",\"}, {\"path\": \"/home/agent/jarvis_runtime/AutoShortsBot/data/render_manifests/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.json\", \"line\": 119, \"content\": \"      \\\"text\\\": \\\"Röntgenblick durch Preis, Reparaturrisiko, Standtage, Händler-Marge und Liquidität.\\\",\"}]}", "tool_call_id": "call_83FgQEDBjnzlqQP8RPi0iyCz", "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqEYctv4CLxd0hdszBR0TWeSbl8_IDK6ed6KMWFFEYYoY_bjxjbt_720C2eHZC_zNH8hoAgFUrJlcawYR4n9PxK8X4zDQaZy4IUX6n51o1Mm1NVFMxsEB2SAiPE-TueRwbZiRk4J86ghSGBcWuKCOc9XbK6GI4pG_wg72LS6jUjXZRF375Y8HypYfaam4Z1E2Krk5oYcLegzZPDlrVBroHA4HKyA3jipuyPzunPY6MHZsadHOUsZEtVC9_dx0fQOjINdtWUFY8A9EmakfFV6ahISrwgwDunCLqnayAhUDT389P5zonHL08rbxys0504GrKO-vxGX-GAj8d8Z7TVNroHXkkvnHysYFAIj4jk9gSTC5KdK9luq38ZQ89Kzznbppe5wmhMihzRQvgxFZATIrjld5ipuefjWopbdJM3ZQUnZU0bun_oj7cgaL5xZlHI-yuGml0IndLzoDO9u8SMKA6eZYXlFPqCIMNiPmaMGOWp_-G8AOLdRh0uVu0bkPteYd176Obe1gLJyx4bAZ3ME9NS6JgZh7m4cj-5uDzVwIkBvsE3Xll5qbCnuyjwiRuJxsxWvTkn0oRA6X3-ANoPU0xDMaEfhUJB6NYU0ZsXDQUKQC9quT-Iv2Pko7n06bZkyjQSc9ifGn5kYprUq3dNPYy0hg47VB6RqJPM7AFFAxHHW4puUNX5d_a6iBcYvaVKnsrkayCOOV2uC_w3XJHQv28Q0tugayXQ77PT75QaCEl28b_F2AmN99K4CA9WTIf0r9nptU4RUu2L4OdJpQ7QNe17bsLpju--fmtIy2BQsCPKPseMlVzphfXgO_7ZB5ELQkZ1oXSjdCUWjUuVF6QcZY8HYk24tVdKIYif2XB2dhJPoqpiGzZ2TcI27brq2qzb1KUW90MlPZswr9TLeXfu8UVoYtPSQxUylPoaACAHNJ2zyIqyEDHzX2YPmddHbfUQL1DpVp95SmCc3wM-dK3IEMmRXYF0ux6I7VcxdOgMv0F5IP3n3DHTAkxCdoXQr0l1civksSt71x6e1cMBMDAj8mtpV-2yQ==", "id": "rs_077af0d5f5e2492a016a11872ce2a48191abfc2806183e9694", "summary": []}], "tool_calls": [{"id": "call_21SOLzVwuxCTWrHq6OdHzxnn", "call_id": "call_21SOLzVwuxCTWrHq6OdHzxnn", "response_item_id": "fc_077af0d5f5e2492a016a11872da6c48191a24de0bc59b888d4", "type": "function", "function": {"name": "read_file", "arguments": "{\"limit\":300,\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/render_manifest.py\"}"}}], "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "tool", "name": "read_file", "content": "{\"content\": \"     1|\\\"\\\"\\\"Renderer manifest generation for retention-led AutoShortsBot videos.\\\"\\\"\\\"\\n     2|\\n     3|from __future__ import annotations\\n     4|\\n     5|import json\\n     6|from pathlib import Path\\n     7|from typing import Any\\n     8|\\n     9|from autoshorts.script_drafts import _slug\\n    10|\\n    11|RESOLUTION = {\\\"width\\\": 1080, \\\"height\\\": 1920}\\n    12|ASPECT_RATIO = \\\"9:16\\\"\\n    13|FPS = 30\\n    14|\\n    15|\\n    16|ASSET_REQUIREMENT_HINTS = {\\n    17|    \\\"kinetic_text\\\": \\\"Generated by renderer from text and style instructions.\\\",\\n    18|    \\\"screen_recording\\\": \\\"Needs captured or synthesized vertical screen recording; avoid fake unreadable UI text.\\\",\\n    19|    \\\"card_animation\\\": \\\"Generated by renderer from concise text cards; animate one idea per beat.\\\",\\n    20|    \\\"stock_broll\\\": \\\"Needs human/phone/context B-roll; avoid generic corporate stock feel.\\\",\\n    21|    \\\"generated_background\\\": \\\"Optional abstract background only; must not become the main content.\\\",\\n    22|    \\\"cinematic_ai_video\\\": \\\"Needs photorealistic vertical AI-video clip; no baked text, logos, or watermarks.\\\",\\n    23|    \\\"mechanism_animation\\\": \\\"Needs renderer-generated mechanism/layer animation with visible movement every 1-2 seconds.\\\",\\n    24|    \\\"kinetic_text_overlay\\\": \\\"Generated by renderer as large beat-synced caption overlays, not paragraph cards.\\\",\\n    25|}\\n    26|\\n    27|\\n    28|def _seconds_to_ms(value: int | float) -> int:\\n    29|    return round(float(value) * 1000)\\n    30|\\n    31|\\n    32|def _duration_ms(start: int | float, end: int | float) -> int:\\n    33|    return max(500, _seconds_to_ms(end) - _seconds_to_ms(start))\\n    34|\\n    35|\\n    36|def _placeholder(asset_type: str, video_id: str, scene: int) -> str:\\n    37|    return f\\\"placeholder://{video_id}/scene-{scene:02d}/{asset_type}\\\"\\n    38|\\n    39|\\n    40|def _visual_style(scene: dict[str, Any]) -> dict[str, Any]:\\n    41|    base = {\\n    42|        \\\"safe_area_pct\\\": 8,\\n    43|        \\\"font\\\": \\\"bold_sans\\\",\\n    44|        \\\"caption_case\\\": \\\"sentence\\\",\\n    45|        \\\"motion\\\": \\\"push_zoom\\\" if scene[\\\"scene\\\"] == 1 else \\\"cut_or_slide\\\",\\n    46|        \\\"contrast\\\": \\\"high\\\",\\n    47|    }\\n    48|    if scene[\\\"asset_type\\\"] == \\\"card_animation\\\":\\n    49|        base.update({\\\"layout\\\": \\\"minimal_cards\\\", \\\"max_words_on_screen\\\": 18})\\n    50|    elif scene[\\\"asset_type\\\"] == \\\"screen_recording\\\":\\n    51|        base.update({\\\"layout\\\": \\\"screen_plus_caption\\\", \\\"blur_sensitive_ui\\\": True})\\n    52|    elif scene[\\\"asset_type\\\"] == \\\"stock_broll\\\":\\n    53|        base.update({\\\"layout\\\": \\\"broll_under_caption\\\", \\\"pace\\\": \\\"fast_cut\\\"})\\n    54|    elif scene[\\\"asset_type\\\"] == \\\"cinematic_ai_video\\\":\\n    55|        base.update({\\\"layout\\\": \\\"cinematic_under_caption\\\", \\\"no_baked_text\\\": True, \\\"pace\\\": \\\"fast_cut\\\"})\\n    56|    elif scene[\\\"asset_type\\\"] == \\\"mechanism_animation\\\":\\n    57|        base.update({\\\"layout\\\": \\\"xray_layer_reveal\\\", \\\"max_words_on_screen\\\": 10, \\\"layered_motion\\\": True})\\n    58|    elif scene[\\\"asset_type\\\"] == \\\"kinetic_text_overlay\\\":\\n    59|        base.update({\\\"layout\\\": \\\"kinetic_full_frame\\\", \\\"max_words_on_screen\\\": 12, \\\"beat_synced\\\": True})\\n    60|    return base\\n    61|\\n    62|\\n    63|def _visual_timeline_items(plan: dict[str, Any]) -> list[dict[str, Any]]:\\n    64|    video_id = plan[\\\"id\\\"]\\n    65|    items: list[dict[str, Any]] = []\\n    66|    for scene in plan[\\\"scenes\\\"]:\\n    67|        items.append(\\n    68|            {\\n    69|                \\\"id\\\": f\\\"scene_{scene['scene']:02d}\\\",\\n    70|                \\\"track\\\": \\\"visual\\\",\\n    71|                \\\"type\\\": scene[\\\"asset_type\\\"],\\n    72|                \\\"asset_ref\\\": _placeholder(scene[\\\"asset_type\\\"], video_id, scene[\\\"scene\\\"]),\\n    73|                \\\"start_ms\\\": _seconds_to_ms(scene[\\\"start\\\"]),\\n    74|                \\\"duration_ms\\\": _duration_ms(scene[\\\"start\\\"], scene[\\\"end\\\"]),\\n    75|                \\\"text\\\": scene[\\\"on_screen_text\\\"],\\n    76|                \\\"visual_direction\\\": scene[\\\"visual_direction\\\"],\\n    77|                \\\"visual_motion\\\": scene.get(\\\"visual_motion\\\", \\\"cut_or_slide\\\"),\\n    78|                \\\"sound_cue\\\": scene.get(\\\"sound_cue\\\", \\\"none\\\"),\\n    79|                \\\"retention_goal\\\": scene[\\\"retention_goal\\\"],\\n    80|                \\\"style\\\": _visual_style(scene),\\n    81|            }\\n    82|        )\\n    83|    return items\\n    84|\\n    85|\\n    86|def _caption_timeline_items(plan: dict[str, Any]) -> list[dict[str, Any]]:\\n    87|    beats = plan.get(\\\"caption_beats\\\", [])\\n    88|    total_ms = int(plan[\\\"estimated_seconds\\\"]) * 1000\\n    89|    items: list[dict[str, Any]] = []\\n    90|    for index, beat in enumerate(beats):\\n    91|        start_ms = _seconds_to_ms(beat[\\\"start\\\"])\\n    92|        next_start_ms = _seconds_to_ms(beats[index + 1][\\\"start\\\"]) if index + 1 < len(beats) else total_ms\\n    93|        items.append(\\n    94|            {\\n    95|                \\\"id\\\": f\\\"caption_{index + 1:02d}\\\",\\n    96|                \\\"track\\\": \\\"captions\\\",\\n    97|                \\\"type\\\": \\\"kinetic_caption\\\",\\n    98|                \\\"start_ms\\\": start_ms,\\n    99|                \\\"duration_ms\\\": max(750, next_start_ms - start_ms),\\n   100|                \\\"text\\\": beat[\\\"text\\\"],\\n   101|                \\\"style\\\": {\\n   102|                    \\\"safe_area_pct\\\": 8,\\n   103|                    \\\"position\\\": \\\"lower_third\\\",\\n   104|                    \\\"max_chars_per_line\\\": 28,\\n   105|                    \\\"highlight_keywords\\\": True,\\n   106|                },\\n   107|            }\\n   108|        )\\n   109|    return items\\n   110|\\n   111|\\n   112|def _asset_requirements(plan: dict[str, Any]) -> dict[str, list[dict[str, Any]]]:\\n   113|    requirements: dict[str, list[dict[str, Any]]] = {key: [] for key in ASSET_REQUIREMENT_HINTS}\\n   114|    for scene in plan[\\\"scenes\\\"]:\\n   115|        asset_type = scene[\\\"asset_type\\\"]\\n   116|        requirements.setdefault(asset_type, []).append(\\n   117|            {\\n   118|                \\\"scene\\\": scene[\\\"scene\\\"],\\n   119|                \\\"asset_ref\\\": _placeholder(asset_type, plan[\\\"id\\\"], scene[\\\"scene\\\"]),\\n   120|                \\\"brief\\\": scene[\\\"visual_direction\\\"],\\n   121|                \\\"hint\\\": ASSET_REQUIREMENT_HINTS.get(asset_type, \\\"Provide asset matching the visual direction.\\\"),\\n   122|            }\\n   123|        )\\n   124|    return requirements\\n   125|\\n   126|\\n   127|def build_render_manifest(plan: dict[str, Any]) -> dict[str, Any]:\\n   128|    \\\"\\\"\\\"Convert a human shot plan into a structured renderer contract.\\\"\\\"\\\"\\n   129|    timeline = _visual_timeline_items(plan) + _caption_timeline_items(plan)\\n   130|    track_order = {\\\"visual\\\": 0, \\\"captions\\\": 1}\\n   131|    timeline.sort(key=lambda item: (item[\\\"start_ms\\\"], track_order.get(item[\\\"track\\\"], 99), item[\\\"id\\\"]))\\n   132|    return {\\n   133|        \\\"schema_version\\\": \\\"render_manifest.v1\\\",\\n   134|        \\\"video\\\": {\\n   135|            \\\"id\\\": plan[\\\"id\\\"],\\n   136|            \\\"title\\\": plan[\\\"title\\\"],\\n   137|            \\\"pillar\\\": plan[\\\"pillar\\\"],\\n   138|            \\\"duration_ms\\\": int(plan[\\\"estimated_seconds\\\"]) * 1000,\\n   139|            \\\"aspect_ratio\\\": ASPECT_RATIO,\\n   140|            \\\"resolution\\\": RESOLUTION,\\n   141|            \\\"fps\\\": FPS,\\n   142|        },\\n   143|        \\\"timeline\\\": timeline,\\n   144|        \\\"asset_requirements\\\": _asset_requirements(plan),\\n   145|        \\\"render_constraints\\\": {\\n   146|            \\\"avoid_static_slideshow\\\": True,\\n   147|            \\\"pattern_interrupt_every_seconds\\\": 3,\\n   148|            \\\"visual_change_every_seconds\\\": plan.get(\\\"final_render_intent\\\", {}).get(\\\"visual_change_every_seconds\\\", 3),\\n   149|            \\\"first_frame_hook_required\\\": True,\\n   150|            \\\"max_words_per_visual_card\\\": 18,\\n   151|            \\\"max_static_cards\\\": plan.get(\\\"final_render_intent\\\", {}).get(\\\"static_card_limit\\\", 1),\\n   152|            \\\"human_approval_required_before_publish\\\": True,\\n   153|        },\\n   154|        \\\"production_notes\\\": plan.get(\\\"production_notes\\\", []),\\n   155|    }\\n   156|\\n   157|\\n   158|def _manifest_filename(plan: dict[str, Any]) -> str:\\n   159|    title_slug = _slug(plan[\\\"title\\\"])\\n   160|    video_id = plan[\\\"id\\\"]\\n   161|    if video_id.endswith(title_slug):\\n   162|        return f\\\"{video_id}.json\\\"\\n   163|    return f\\\"{video_id}-{title_slug}.json\\\"\\n   164|\\n   165|\\n   166|def write_render_manifests(plans: list[dict[str, Any]], output_dir: Path) -> list[Path]:\\n   167|    \\\"\\\"\\\"Write render manifests as pretty JSON files.\\\"\\\"\\\"\\n   168|    output_dir.mkdir(parents=True, exist_ok=True)\\n   169|    paths: list[Path] = []\\n   170|    for plan in plans:\\n   171|        manifest = build_render_manifest(plan)\\n   172|        path = output_dir / _manifest_filename(plan)\\n   173|        path.write_text(json.dumps(manifest, indent=2, ensure_ascii=False) + \\\"\\\\n\\\", encoding=\\\"utf-8\\\")\\n   174|        paths.append(path)\\n   175|    return paths\\n   176|\", \"total_lines\": 175, \"file_size\": 7383, \"truncated\": false, \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_21SOLzVwuxCTWrHq6OdHzxnn", "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "assistant", "content": "", "reasoning": "**Inspecting display issues**\n\nI think there's an issue with the mechanism_pipeline where the on-screen text might be clipped. I’ll need to figure out how to fix it. Maybe using voiceover could be a good alternative? It's important to address this so that everything displays properly. I'll start by inspecting the details and see what adjustments I can make to resolve the problem. Let's get this sorted out!", "finish_reason": "tool_calls", "reasoning_content": "**Inspecting display issues**\n\nI think there's an issue with the mechanism_pipeline where the on-screen text might be clipped. I’ll need to figure out how to fix it. Maybe using voiceover could be a good alternative? It's important to address this so that everything displays properly. I'll start by inspecting the details and see what adjustments I can make to resolve the problem. Let's get this sorted out!", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqEYczlptApOffzeG7x8ZsILRXLKL6pyzfYOeW-hc5gRwM0-JixEkeTwED04ybQ6yeqbJY16D5ElDY0KYQKYI4sYKbLA7ZJ4YmPRbEwnk8AZEKWvvBXnvP9XaZ5MsdnKxcCuqfxjNFJg_Z-hqLB9-eXRNy5IlW0MDvIhgBj4CwCYryFqABEFqfx4RA_QOr6pZw1NIY6LDm8i0Uje40BcUh8WauRdYYADBO5rmS9rppi5TAGqiTCSw0_t0eqy_NJstwFj49kVwFiQhgj1WfbjgNyXurTq7uhQTCUjRdEVCXAjTx_v8zNqnjYy3zRbpVOVsPMlklqFXQh_7ukJvf_9zzA5dRHuR9PPihIOe-b14V98mlW8UwEu0v6vXb5JFZS4QgVHAKLLUlYlfPGXfq7lhD--b4SUDDhjg9FqcHPmqSz9TCvHels3V7SbI6QBy3lZLtFNKOS0fQ75Se7T6B4r5VpPpGLFMQUiW9oZ8F0q81oItMQdOtKtRVb7R4PmxUTLgEsQBott5H_byixalNcFcRWIHEaIJthNm4_4t5viARLXQortHBW-0VjI1bNtjBx-9P4T-lr3znNSSA-24bNofZIhWMe5lqdzqRFuTBEO7AGtkDo05l1ovy0yxRjNcLopfGhPnAGtB8K-AfyVcOarz5OMicIGb-3zvl1Nx-j_fwQBK6rl7lkhNZImxWymsMgTj8Q2tUUJpXjJzsT_X3c_tpPcH4c3p3HoMep8C_J9Fpsa_4N7fzEtsmHqg3YTsTU-7HYNooT9QlG0fexUkGlmgx0O4XyvlEegZjacniMRU020ZOQ3WEnYQlN8RNEd-AGeS37IKpCPz_CNlaCAcgYbs1_06D2XXe7oaE78FjHBP0y0o5lUe1oYLgt7J724_Pg7kzRTHlz3AxbCn1OaRhA7YGF7xouhewhLP3l6Ceio0VKC3X2gn4pt7Xue1K9XDxvE4LYZWHvLwrWX8w_i7lUqsvjOii05ankQof1SsvblLnmnIBeT1y4rsBdJ5zEoT8WBPd9qpoyrRIxPv0BeLgwc5Nqg4PKEZIKuLTaonOvp5jhP4W-8s=", "id": "rs_0979d5e0850e1994016a11873197a481918d5bb9e5da5e9105", "summary": [{"type": "summary_text", "text": "**Inspecting display issues**\n\nI think there's an issue with the mechanism_pipeline where the on-screen text might be clipped. I’ll need to figure out how to fix it. Maybe using voiceover could be a good alternative? It's important to address this so that everything displays properly. I'll start by inspecting the details and see what adjustments I can make to resolve the problem. Let's get this sorted out!"}]}], "tool_calls": [{"id": "call_Il4P6jg3BXtTHz3wwFFM9r4w", "call_id": "call_Il4P6jg3BXtTHz3wwFFM9r4w", "response_item_id": "fc_0979d5e0850e1994016a118732ff748191a74924caccdb1bcd", "type": "function", "function": {"name": "read_file", "arguments": "{\"limit\":300,\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/mechanism_pipeline.py\"}"}}], "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "tool", "name": "read_file", "content": "{\"content\": \"     1|\\\"\\\"\\\"Adapters from Retention Studio mechanism explainers into production shot plans.\\\"\\\"\\\"\\n     2|\\n     3|from __future__ import annotations\\n     4|\\n     5|from pathlib import Path\\n     6|from typing import Any\\n     7|\\n     8|from autoshorts.script_drafts import _slug\\n     9|\\n    10|BEAT_TO_PURPOSE = {\\n    11|    \\\"pattern_interrupt\\\": \\\"pattern_interrupt\\\",\\n    12|    \\\"problem\\\": \\\"problem\\\",\\n    13|    \\\"mechanism\\\": \\\"mechanism_reveal\\\",\\n    14|    \\\"twist\\\": \\\"twist\\\",\\n    15|    \\\"follow_trigger\\\": \\\"follow_trigger\\\",\\n    16|}\\n    17|\\n    18|BEAT_TO_ASSET_TYPE = {\\n    19|    \\\"pattern_interrupt\\\": \\\"cinematic_ai_video\\\",\\n    20|    \\\"problem\\\": \\\"cinematic_ai_video\\\",\\n    21|    \\\"mechanism\\\": \\\"mechanism_animation\\\",\\n    22|    \\\"twist\\\": \\\"mechanism_animation\\\",\\n    23|    \\\"follow_trigger\\\": \\\"kinetic_text_overlay\\\",\\n    24|}\\n    25|\\n    26|\\n    27|def _plan_id(explainer: dict[str, Any]) -> str:\\n    28|    return f\\\"{_slug(explainer['pillar'])}-{_slug(explainer['title'])}\\\"\\n    29|\\n    30|\\n    31|def _overlay_text(voiceover: str, limit: int = 72) -> str:\\n    32|    cleaned = \\\" \\\".join(voiceover.split())\\n    33|    if len(cleaned) <= limit:\\n    34|        return cleaned\\n    35|    return cleaned[:limit].rsplit(\\\" \\\", 1)[0].rstrip(\\\".,;:\\\")\\n    36|\\n    37|\\n    38|def _scene_from_beat(index: int, beat: dict[str, Any]) -> dict[str, Any]:\\n    39|    beat_name = beat[\\\"beat\\\"]\\n    40|    return {\\n    41|        \\\"scene\\\": index,\\n    42|        \\\"purpose\\\": BEAT_TO_PURPOSE[beat_name],\\n    43|        \\\"start\\\": beat[\\\"start\\\"],\\n    44|        \\\"end\\\": beat[\\\"end\\\"],\\n    45|        \\\"asset_type\\\": BEAT_TO_ASSET_TYPE[beat_name],\\n    46|        \\\"on_screen_text\\\": _overlay_text(beat[\\\"voiceover\\\"]),\\n    47|        \\\"voiceover\\\": beat[\\\"voiceover\\\"],\\n    48|        \\\"visual_direction\\\": beat[\\\"visual\\\"],\\n    49|        \\\"visual_motion\\\": beat[\\\"visual_motion\\\"],\\n    50|        \\\"sound_cue\\\": beat[\\\"sound_cue\\\"],\\n    51|        \\\"retention_goal\\\": _retention_goal(beat_name),\\n    52|    }\\n    53|\\n    54|\\n    55|def _retention_goal(beat_name: str) -> str:\\n    56|    goals = {\\n    57|        \\\"pattern_interrupt\\\": \\\"Open a visual loop immediately; make the viewer need the hidden explanation.\\\",\\n    58|        \\\"problem\\\": \\\"Make the surface-level interpretation feel incomplete.\\\",\\n    59|        \\\"mechanism\\\": \\\"Reveal the invisible system through moving layers, not narration alone.\\\",\\n    60|        \\\"twist\\\": \\\"Reframe the obvious cause into the real cause.\\\",\\n    61|        \\\"follow_trigger\\\": \\\"Promise the next hidden system without a generic like/follow plea.\\\",\\n    62|    }\\n    63|    return goals[beat_name]\\n    64|\\n    65|\\n    66|def build_mechanism_shot_plan(explainer: dict[str, Any]) -> dict[str, Any]:\\n    67|    \\\"\\\"\\\"Convert a Retention Studio mechanism explainer into a motion-led shot plan.\\\"\\\"\\\"\\n    68|    scenes = [_scene_from_beat(index, beat) for index, beat in enumerate(explainer[\\\"beats\\\"], start=1)]\\n    69|    caption_beats = [\\n    70|        {\\\"start\\\": int(beat[\\\"start\\\"]), \\\"text\\\": beat[\\\"voiceover\\\"]}\\n    71|        for beat in explainer[\\\"beats\\\"]\\n    72|    ]\\n    73|    return {\\n    74|        \\\"id\\\": _plan_id(explainer),\\n    75|        \\\"series\\\": explainer[\\\"series\\\"],\\n    76|        \\\"title\\\": explainer[\\\"title\\\"],\\n    77|        \\\"pillar\\\": explainer[\\\"pillar\\\"],\\n    78|        \\\"estimated_seconds\\\": int(explainer[\\\"target_seconds\\\"]),\\n    79|        \\\"caption_beats\\\": caption_beats,\\n    80|        \\\"scenes\\\": scenes,\\n    81|        \\\"final_render_intent\\\": {\\n    82|            \\\"static_card_limit\\\": 0,\\n    83|            \\\"visual_change_every_seconds\\\": 2,\\n    84|            \\\"primary_style\\\": \\\"mechanism_reveal_motion_explainer\\\",\\n    85|            \\\"captions\\\": \\\"large kinetic overlays; voiceover carries detail; no paragraph cards\\\",\\n    86|        },\\n    87|    }\\n    88|\\n    89|\\n    90|def format_mechanism_shot_plan(plan: dict[str, Any]) -> str:\\n    91|    scene_blocks = []\\n    92|    for scene in plan[\\\"scenes\\\"]:\\n    93|        scene_blocks.append(\\n    94|            f\\\"### Scene {scene['scene']} — {scene['purpose']}\\\\n\\\\n\\\"\\n    95|            f\\\"- Timing: {scene['start']}s–{scene['end']}s\\\\n\\\"\\n    96|            f\\\"- Asset type: {scene['asset_type']}\\\\n\\\"\\n    97|            f\\\"- On-screen text: {scene['on_screen_text']}\\\\n\\\"\\n    98|            f\\\"- Voiceover: {scene['voiceover']}\\\\n\\\"\\n    99|            f\\\"- Visual direction: {scene['visual_direction']}\\\\n\\\"\\n   100|            f\\\"- Visual motion: {scene['visual_motion']}\\\\n\\\"\\n   101|            f\\\"- Sound cue: {scene['sound_cue']}\\\\n\\\"\\n   102|            f\\\"- Retention goal: {scene['retention_goal']}\\\"\\n   103|        )\\n   104|    scenes = \\\"\\\\n\\\\n\\\".join(scene_blocks)\\n   105|    beats = \\\"\\\\n\\\".join(f\\\"- {beat['start']:02d}s: {beat['text']}\\\" for beat in plan[\\\"caption_beats\\\"])\\n   106|    intent = plan[\\\"final_render_intent\\\"]\\n   107|    return f\\\"\\\"\\\"# {plan['title']}\\n   108|\\n   109|- ID: `{plan['id']}`\\n   110|- Series: {plan['series']}\\n   111|- Pillar: `{plan['pillar']}`\\n   112|- Estimated duration: {plan['estimated_seconds']}s\\n   113|\\n   114|## Mechanism shot plan\\n   115|\\n   116|{scenes}\\n   117|\\n   118|## Caption beats\\n   119|\\n   120|{beats}\\n   121|\\n   122|## Final render intent\\n   123|\\n   124|- Static card limit: {intent['static_card_limit']}\\n   125|- Visual change every seconds: {intent['visual_change_every_seconds']}\\n   126|- Primary style: {intent['primary_style']}\\n   127|- Captions: {intent['captions']}\\n   128|\\\"\\\"\\\"\\n   129|\\n   130|\\n   131|def write_mechanism_shot_plans(explainers: list[dict[str, Any]], output_dir: Path) -> list[Path]:\\n   132|    \\\"\\\"\\\"Write mechanism shot plans as Markdown files.\\\"\\\"\\\"\\n   133|    output_dir.mkdir(parents=True, exist_ok=True)\\n   134|    paths: list[Path] = []\\n   135|    for explainer in explainers:\\n   136|        plan = build_mechanism_shot_plan(explainer)\\n   137|        path = output_dir / f\\\"{plan['id']}.md\\\"\\n   138|        path.write_text(format_mechanism_shot_plan(plan), encoding=\\\"utf-8\\\")\\n   139|        paths.append(path)\\n   140|    return paths\\n   141|\", \"total_lines\": 140, \"file_size\": 4898, \"truncated\": false, \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_Il4P6jg3BXtTHz3wwFFM9r4w", "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "assistant", "content": "", "reasoning": "**Improving text truncation**\n\nI'm realizing that the text often clips at 72 characters, and it ends awkwardly with \"und.\" To fix this, I think adding an ellipsis could help. We want the renderer overlay to be concise, but it shouldn't dangle at the end. So, I'll test adding a mechanism to ensure it includes an ellipsis when truncated, avoiding stopwords like \"und.\" I also need to make sure \"Liquidität\" is still included. Maybe I should add a test in the test mechanism pipeline for this.", "finish_reason": "tool_calls", "reasoning_content": "**Improving text truncation**\n\nI'm realizing that the text often clips at 72 characters, and it ends awkwardly with \"und.\" To fix this, I think adding an ellipsis could help. We want the renderer overlay to be concise, but it shouldn't dangle at the end. So, I'll test adding a mechanism to ensure it includes an ellipsis when truncated, avoiding stopwords like \"und.\" I also need to make sure \"Liquidität\" is still included. Maybe I should add a test in the test mechanism pipeline for this.", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqEYlnygGZDPzbSZ7OD_yyB16hy2K8AbfYVJdLw49kyOtlrJXQd1O3wu5DPfm-zmAQAA2mTrqWAahfl0r1ZS3525R_O0Io4xT4ktjc5KsAX9MhgPfmjPxeyH1zPfl2qj-hI-lW1nZ5Waq_CqEXeVu39D2pUGeTj0HQm9rPaO5fqjKdvgnxPx-PSAtUOmFucvcAjAixBHoPy4rvnTmSbxkIW-cS1_Mof7gHrHB_2Ub-ZdoVzkdlb8k-iP-4Xc4C9vfV83A-MVsQkG3l-vxAPh37CNtKHhOPmDdGC6A4ymfJNT8MR7HTPhap0UnSh5bWlto1lu_gWb3WDFSR8VxIVOrvxzLlzXcAm2Nqjr6XH5kY8GQggvBmR9l8i0jAQ-cSx7fuRg64Gff3QfHi9v-Zbqf377JVT9aAUZPg5HKrahfavO5oO4likiNPX4Ubz4UCb1FPjS30EuVMQvZcSH1doFRDg6OQPhMrU7Rui8B7F_uXr8TuBYlfxWPtDLzatIBpDKVEZEkE0c7Bm6ME_f48sUDWvvbLaXQBTKtukgbav8E87FDFD6ZzjfILakP5c8DDen1SXC1U7EoSo4pHlvu5TB9s7jlvmYt3IrMRePrCmbXOBxmv4Ab2HTlcZ3zrhqerCXHINUvGiWBDHqOE3VoXdp9VeoXfr9lu9qVXf9QJ-oJhCWAQdTs5dFcuVVht0BUh2AZXQkeDlJwz9WL0tY5wM6ypFzt5ZiXm82IJc2l29zWBxx8FFwOtMgpuqKk3wOkbsuiq1r6cT9ADWFtU7iIcQGnyddFMsEpLutvj8RgwSUWAy7SQbfhQCtTEKfXm0CwIpYLBr_mkP-Z5iT6Dw3BBUUyCzOdf9P0ceje31fNJ50QYt0yPYCNFHdh9CvMU_mbn16_YgSe6W3dfx7jA1Y62cnDJDRl0hBrdntgbFnLwcQFFA7bo8AV4ui8aJ85-39qmqfBfsHGQHKDwEMkyJTe0iiYMLNzB2VidgJa8IN2f9mgvaIbGxq6yfwX_YD9WfOFIsbjUGbxllJh7A33ogT4UqnpPnnaYY9fSZwX4sQ2bRViCRImaGb-ub0UqadDK-t4Z_VQKhYYBG8uBDWK43-a4mS-xKjTBNQewUnPE-kDruqZ9oAnjrWiecEQyuwEbHc_Yd8_mqotiNr_RDFz6PicTB6j0iwvVD2q3OB7sF8Ep41jXnEVhH5l8HiZm5SIPPC-II-d-iQzaVQfJioijsV479a0X9oBntHx6hyGfE637ipYk_MzMbb9VVH3DvWHJsdSuWmOY_5gJgpZ5EY9McLiC9qujGJZOf4bICyJDbVX_AgtSxSX6T-uYEZwuOTMbT_P8EgLpfpLww3-BSQJeeihr_rulNGN3S_9W4LHKXe40fw35rgueFVjas1V5upWmyU-pUoh81fmiqGIu1Gu1-jb_4V-CFisZ9Dz1vqQr9ihoEpjm331aF9FlYOigxCQVjZlAtI0ZpNW09b7BNVNwPoQIBYvNast8OKKxfUSlwf80s-Xm4-DtGtXqBBfqClfPxgzzxwLg2r-4rvZxByRvfb0PG-CJU9JI2UqxcQicXWy_mLPDG0vk1vR-b5E2IUnayllAO_9B_KkiR5OWTAQHmM1yZhohojmiTtntCBvj8X6xPk-F1AvOVRafOWKouruV1wMRyuv-qM28-PHnigm8aZT2VHCT_aTN-hXHP8_YAiVLM1Zl8zPsU4E=", "id": "rs_023daa51548d6826016a11896263bc8191bfd81fdcde4ee833", "summary": [{"type": "summary_text", "text": "**Improving text truncation**\n\nI'm realizing that the text often clips at 72 characters, and it ends awkwardly with \"und.\" To fix this, I think adding an ellipsis could help. We want the renderer overlay to be concise, but it shouldn't dangle at the end. So, I'll test adding a mechanism to ensure it includes an ellipsis when truncated, avoiding stopwords like \"und.\" I also need to make sure \"Liquidität\" is still included. Maybe I should add a test in the test mechanism pipeline for this."}]}], "tool_calls": [{"id": "call_86qZuMd3nFXCG9wOfAzAyQOm", "call_id": "call_86qZuMd3nFXCG9wOfAzAyQOm", "response_item_id": "fc_023daa51548d6826016a11896702c881919fac603972503fc0", "type": "function", "function": {"name": "read_file", "arguments": "{\"limit\":220,\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_mechanism_pipeline.py\"}"}}], "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "tool", "name": "read_file", "content": "{\"content\": \"     1|from autoshorts.mechanism_pipeline import (\\n     2|    build_mechanism_shot_plan,\\n     3|    write_mechanism_shot_plans,\\n     4|)\\n     5|from autoshorts.retention_studio import PILOT_IDEAS, build_mechanism_explainer\\n     6|\\n     7|\\n     8|def _auto_explainer():\\n     9|    return build_mechanism_explainer(PILOT_IDEAS[0])\\n    10|\\n    11|\\n    12|def test_build_mechanism_shot_plan_preserves_retention_beats_and_timing():\\n    13|    explainer = _auto_explainer()\\n    14|\\n    15|    plan = build_mechanism_shot_plan(explainer)\\n    16|\\n    17|    assert plan[\\\"id\\\"] == \\\"hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann\\\"\\n    18|    assert plan[\\\"series\\\"] == \\\"Unsichtbare Systeme in 30 Sekunden\\\"\\n    19|    assert plan[\\\"estimated_seconds\\\"] == 34\\n    20|    assert [scene[\\\"purpose\\\"] for scene in plan[\\\"scenes\\\"]] == [\\n    21|        \\\"pattern_interrupt\\\",\\n    22|        \\\"problem\\\",\\n    23|        \\\"mechanism_reveal\\\",\\n    24|        \\\"twist\\\",\\n    25|        \\\"follow_trigger\\\",\\n    26|    ]\\n    27|    assert plan[\\\"scenes\\\"][0][\\\"start\\\"] == 0.0\\n    28|    assert plan[\\\"scenes\\\"][0][\\\"end\\\"] <= 1.5\\n    29|    assert plan[\\\"scenes\\\"][2][\\\"asset_type\\\"] == \\\"mechanism_animation\\\"\\n    30|    assert all(scene[\\\"visual_motion\\\"] for scene in plan[\\\"scenes\\\"])\\n    31|    assert all(scene[\\\"sound_cue\\\"] for scene in plan[\\\"scenes\\\"])\\n    32|\\n    33|\\n    34|def test_mechanism_shot_plan_uses_motion_led_asset_types_not_static_cards():\\n    35|    plan = build_mechanism_shot_plan(_auto_explainer())\\n    36|\\n    37|    asset_types = [scene[\\\"asset_type\\\"] for scene in plan[\\\"scenes\\\"]]\\n    38|\\n    39|    assert \\\"static_card\\\" not in asset_types\\n    40|    assert \\\"cinematic_ai_video\\\" in asset_types\\n    41|    assert \\\"mechanism_animation\\\" in asset_types\\n    42|    assert \\\"kinetic_text_overlay\\\" in asset_types\\n    43|    assert plan[\\\"final_render_intent\\\"][\\\"static_card_limit\\\"] == 0\\n    44|    assert plan[\\\"final_render_intent\\\"][\\\"visual_change_every_seconds\\\"] <= 2\\n    45|\\n    46|\\n    47|def test_mechanism_shot_plan_generates_caption_beats_from_voiceover():\\n    48|    plan = build_mechanism_shot_plan(_auto_explainer())\\n    49|\\n    50|    assert len(plan[\\\"caption_beats\\\"]) == 5\\n    51|    assert plan[\\\"caption_beats\\\"][0][\\\"start\\\"] == 0\\n    52|    assert \\\"Occasion\\\" in plan[\\\"caption_beats\\\"][0][\\\"text\\\"]\\n    53|    assert plan[\\\"caption_beats\\\"][-1][\\\"start\\\"] == 28\\n    54|    assert \\\"versteckte\\\" in plan[\\\"caption_beats\\\"][-1][\\\"text\\\"].lower()\\n    55|\\n    56|\\n    57|def test_write_mechanism_shot_plans_outputs_markdown(tmp_path):\\n    58|    explainer = _auto_explainer()\\n    59|\\n    60|    paths = write_mechanism_shot_plans([explainer], tmp_path)\\n    61|\\n    62|    assert len(paths) == 1\\n    63|    assert paths[0].suffix == \\\".md\\\"\\n    64|    text = paths[0].read_text(encoding=\\\"utf-8\\\")\\n    65|    assert \\\"## Mechanism shot plan\\\" in text\\n    66|    assert \\\"pattern_interrupt\\\" in text\\n    67|    assert \\\"mechanism_animation\\\" in text\\n    68|    assert \\\"Sound cue\\\" in text\\n    69|\", \"total_lines\": 68, \"file_size\": 2463, \"truncated\": false, \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_86qZuMd3nFXCG9wOfAzAyQOm", "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_GhFAkX57sVEHOfhZJaYvWiIB", "call_id": "call_GhFAkX57sVEHOfhZJaYvWiIB", "response_item_id": "fc_00ecf5534a2032ac016a11896c99888191b70a39129fa81fab", "type": "function", "function": {"name": "patch", "arguments": "{\"new_string\":\"def test_mechanism_scene_overlay_truncation_marks_open_sentence():\\n    plan = build_mechanism_shot_plan(_auto_explainer())\\n    overlay = plan[\\\"scenes\\\"][2][\\\"on_screen_text\\\"]\\n\\n    assert overlay.endswith(\\\"…\\\")\\n    assert not overlay.endswith(\\\" und…\\\")\\n\\n\\ndef test_write_mechanism_shot_plans_outputs_markdown(tmp_path):\\n\",\"old_string\":\"def test_write_mechanism_shot_plans_outputs_markdown(tmp_path):\\n\",\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_mechanism_pipeline.py\"}"}}], "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/agent/jarvis_runtime/AutoShortsBot/tests/test_mechanism_pipeline.py\\n+++ b//home/agent/jarvis_runtime/AutoShortsBot/tests/test_mechanism_pipeline.py\\n@@ -54,6 +54,14 @@\\n     assert \\\"versteckte\\\" in plan[\\\"caption_beats\\\"][-1][\\\"text\\\"].lower()\\n \\n \\n+def test_mechanism_scene_overlay_truncation_marks_open_sentence():\\n+    plan = build_mechanism_shot_plan(_auto_explainer())\\n+    overlay = plan[\\\"scenes\\\"][2][\\\"on_screen_text\\\"]\\n+\\n+    assert overlay.endswith(\\\"…\\\")\\n+    assert not overlay.endswith(\\\" und…\\\")\\n+\\n+\\n def test_write_mechanism_shot_plans_outputs_markdown(tmp_path):\\n     explainer = _auto_explainer()\\n \\n\", \"files_modified\": [\"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_mechanism_pipeline.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_GhFAkX57sVEHOfhZJaYvWiIB", "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_I265trRh0GnliXZaFI23foLZ", "call_id": "call_I265trRh0GnliXZaFI23foLZ", "response_item_id": "fc_07dc20f6c5cb3bbd016a118973d2f081919ca8163bbb4a06d8", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"pytest tests/test_mechanism_pipeline.py::test_mechanism_scene_overlay_truncation_marks_open_sentence -q\",\"timeout\":120,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}"}}], "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \"F                                                                        [100%]\\n=================================== FAILURES ===================================\\n_________ test_mechanism_scene_overlay_truncation_marks_open_sentence __________\\n\\n    def test_mechanism_scene_overlay_truncation_marks_open_sentence():\\n        plan = build_mechanism_shot_plan(_auto_explainer())\\n        overlay = plan[\\\"scenes\\\"][2][\\\"on_screen_text\\\"]\\n    \\n>       assert overlay.endswith(\\\"…\\\")\\nE       AssertionError: assert False\\nE        +  where False = <built-in method endswith of str object at 0x79bb9b6c8390>('…')\\nE        +    where <built-in method endswith of str object at 0x79bb9b6c8390> = 'Röntgenblick durch Preis, Reparaturrisiko, Standtage, Händler-Marge und'.endswith\\n\\ntests/test_mechanism_pipeline.py:61: AssertionError\\n=========================== short test summary info ============================\\nFAILED tests/test_mechanism_pipeline.py::test_mechanism_scene_overlay_truncation_marks_open_sentence\\n1 failed in 0.06s\", \"exit_code\": 1, \"error\": null}", "tool_call_id": "call_I265trRh0GnliXZaFI23foLZ", "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqEYl45MLnMvEH5x4GewV0sOkaLSVtLaeUhD1_4r4C65am7j0sxEhcm6yySRf6tr512WlrYISZlycZK89y714QhLuKIjYmNJgzvsAy7h7viWu2EBb7HrJUJ46NQ0-_9PzrLr1vociA1_7gV5grTX8Q91itXIJ0uxcE8psgV_1fUALNZLDKCDpwwH-utDGti9Om4Xk_veJrGcaiupee23ynZ7OTKfCynvzs9ew0XWRJTVnm1jHWqZ8K-rjUZNIxvDVRXJThxsSyldMZykLdfdj91lVqBF76ZPxER_bAOWURTyGYJwAYmI1Cj6mqGyfAD5uudqZmmEVNybQ3lXzX77bt4apRNM5uGJ9WT4q_4PMMfvR8BrxNBm-6S_jOdM1MqIyorXVZwTsSrSrDHwc5p7iLXAYoDT6q9k7eBmdpWrfa6oC0NkcmhdcsFQKcJB9rRl2iyFD-3pC78gFyAjuupNRVaxbXoFKzHCPqE5ocPL2FpkfbOHq_DtyGiWMXis2srauOqkolM5j0z4FeiDbe0CcHulg-yPlV4SshKMmkWlMC9-1LB_lUojAmJdOk-PwWsMY_diPw1UZbe5zoOz64pR47YARo0HZcPnpLQiYkIO2OmxpNShLgFQZTK7MBOTo3X8k5h_sSoKu5eNM9de7g2-haGfhqgrEWYYsRyERsB7OHqYJba8J3HRRam3veGSAcSziGWSFQJdc0tqwDi4EHim3Ly_fyg8q1_CHJrzlN0z9TERR9v9jh8a8dlsS1uawzAqeCieP-2_x6Sm3ZVHAQ8p0ShRWTxFaO_Ap6qUBXV66n_1GPdOesTvcCMQGFzLBAqxzJPcUkem0_VZGc10d7dIGPoYEolmpEltWKABrteJVIKWTWqz1kmx_h8HNfjfFanDZh8LTMQj4DFZTQGSfJzPw6oKdV9vwR9y4MOBXLlFA62VJ1w14=", "id": "rs_0fb308f2a387872e016a11897853b88191972e40d0aa319ec5", "summary": []}], "tool_calls": [{"id": "call_udM2mxAp2KW0WWlUMZP3Sj2A", "call_id": "call_udM2mxAp2KW0WWlUMZP3Sj2A", "response_item_id": "fc_0fb308f2a387872e016a118978b5f481918841d7a77aed8a4a", "type": "function", "function": {"name": "patch", "arguments": "{\"new_string\":\"def _overlay_text(voiceover: str, limit: int = 72) -> str:\\n    cleaned = \\\" \\\".join(voiceover.split())\\n    if len(cleaned) <= limit:\\n        return cleaned\\n    truncated = cleaned[: limit - 1].rsplit(\\\" \\\", 1)[0].rstrip(\\\".,;:\\\")\\n    while truncated.split() and truncated.split()[-1].lower() in {\\\"und\\\", \\\"oder\\\", \\\"mit\\\", \\\"durch\\\", \\\"von\\\", \\\"der\\\", \\\"die\\\", \\\"das\\\"}:\\n        truncated = \\\" \\\".join(truncated.split()[:-1]).rstrip(\\\".,;:\\\")\\n    return f\\\"{truncated}…\\\"\\n\",\"old_string\":\"def _overlay_text(voiceover: str, limit: int = 72) -> str:\\n    cleaned = \\\" \\\".join(voiceover.split())\\n    if len(cleaned) <= limit:\\n        return cleaned\\n    return cleaned[:limit].rsplit(\\\" \\\", 1)[0].rstrip(\\\".,;:\\\")\\n\",\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/mechanism_pipeline.py\"}"}}], "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/agent/jarvis_runtime/AutoShortsBot/autoshorts/mechanism_pipeline.py\\n+++ b//home/agent/jarvis_runtime/AutoShortsBot/autoshorts/mechanism_pipeline.py\\n@@ -32,7 +32,10 @@\\n     cleaned = \\\" \\\".join(voiceover.split())\\n     if len(cleaned) <= limit:\\n         return cleaned\\n-    return cleaned[:limit].rsplit(\\\" \\\", 1)[0].rstrip(\\\".,;:\\\")\\n+    truncated = cleaned[: limit - 1].rsplit(\\\" \\\", 1)[0].rstrip(\\\".,;:\\\")\\n+    while truncated.split() and truncated.split()[-1].lower() in {\\\"und\\\", \\\"oder\\\", \\\"mit\\\", \\\"durch\\\", \\\"von\\\", \\\"der\\\", \\\"die\\\", \\\"das\\\"}:\\n+        truncated = \\\" \\\".join(truncated.split()[:-1]).rstrip(\\\".,;:\\\")\\n+    return f\\\"{truncated}…\\\"\\n \\n \\n def _scene_from_beat(index: int, beat: dict[str, Any]) -> dict[str, Any]:\\n\", \"files_modified\": [\"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/mechanism_pipeline.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_udM2mxAp2KW0WWlUMZP3Sj2A", "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_fudqgMtSV3vovyHag2f1DuCm", "call_id": "call_fudqgMtSV3vovyHag2f1DuCm", "response_item_id": "fc_06e352364b1a45b0016a1189826aec81918229be18b2dc75fc", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"pytest tests/test_mechanism_pipeline.py::test_mechanism_scene_overlay_truncation_marks_open_sentence -q\",\"timeout\":120,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}"}}], "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \".                                                                        [100%]\\n1 passed in 0.03s\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_fudqgMtSV3vovyHag2f1DuCm", "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "assistant", "content": "", "reasoning": "**Assessing artifact regeneration**\n\nI’m considering whether I need to regenerate all downstream artifacts from the shot plan. There’s a mention of scripts generating mechanisms that render from retention. I think I have to run a specific sequence to generate the mechanism shot plans, possibly just in markdown format. Then, I need to render manifests from the script and inspect the arguments involved. It feels like a bit of a process, but it sounds necessary!", "finish_reason": "tool_calls", "reasoning_content": "**Assessing artifact regeneration**\n\nI’m considering whether I need to regenerate all downstream artifacts from the shot plan. There’s a mention of scripts generating mechanisms that render from retention. I think I have to run a specific sequence to generate the mechanism shot plans, possibly just in markdown format. Then, I need to render manifests from the script and inspect the arguments involved. It feels like a bit of a process, but it sounds necessary!", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqEYmIkhG8ICrvo7A1Fj4I671TkfUX6oJ4ZOaB2Xsfr-yU5vHFX-72-IebKfwPoJEFyawXdiY_EiSIVDQSzb02l4iAD51pF8JkON2_m-rogQFzpkJjrR5rhI_zWQrfwpMZ4QTy3loeOcFFZ3i4afEueIQsgE-raxZNAJASV-xJWAft2jke6xBddhtJ6rWlX7v3ceSZq6Uqrnexf1p0J4j0uRTG7TQdscYFcK9K56zWrgo72j9FMY2Ki9keDsXMTfGZwsleeSBpKyhewCp3HfeP1ncEyRyypc9zAxRUR9vYlDR7hRtEYevDorVszS5aTigMpHjaNOLIEYq8WEiU7XRlLq5NDxTBQLtEkt14GB1BO2TJ-N0ez-ObwMbwWY7s2kTOkP6_ksgku7mywm7M_wtfKv8Nwyf_9L7MNzISFDBsT1jCpUAoKTZHrGoH8stgoGzQR_v-hO_1DPKizG-oBlJJkKS3tNim6p0eyjBRThICNfBfMaVLL3M7XIsz2LNtCvhMU629VK12rf5Rh7YISDrU4AwZEg0aT87kGbHIL18fHSfLFAZ9kYbX4MZfKqoY6MG8OTcDwR0qA24400xxbIededsGnNcYYe_loDemkrht55nppoxBTsdU6HV_Hhj2BZ1ZnEck61TqwS96O254shy_mDCzepkq2iYw_68bIYEamjZmmnmsMwN8Yy-m0HT3MVDo4p_o6j1y3GIOqAHuoeIbS05HkydqFy-iCy7sTJusJ2fG-lPinB1-4OrPAt3EbbQEpZfi9KWlyBGAk35rqwGn9Bktlxu4-7RYAua7RQM4FwRKvTQHUZJEbeRpWcxk8P9Cp8astiEmgSejVgbKFnynVFR4iPuSrKSin99OXnMg9YqMrRSrwWHeMkiyNmM1ESmv_H6ycEQkF-Teb18CIoRI8zQOSKFyney6lhm6AGsC7ZdhLdynXu-rUQFgUf9YSRPcg7H4EKC5awST5pejP06xYsQfCW9U4L9G2iwU3OD_uAYOqhtECtYvbzBK4_SZgvUibBnewQ1Ank2dFmkwJv6Dd7h8pfZ6ywGbJx-dIQQAX-EqI95UP9USDt7_N5VWe_1WeaT2vYoRoLgadh-xMPQuAHA5j4AIDmMloV3dwSMRtzWqmZDtBi4yr32yYMY8b8jhSaQPPDWj5EbFUeFBkBtKY49bfO7iJUY0Luk2sooANEeah7Un-QffPhpKYx1COcH3cEbQ", "id": "rs_0a92726500efb3ce016a1189861a3881918f00e5142e6b2fd2", "summary": [{"type": "summary_text", "text": "**Assessing artifact regeneration**\n\nI’m considering whether I need to regenerate all downstream artifacts from the shot plan. There’s a mention of scripts generating mechanisms that render from retention. I think I have to run a specific sequence to generate the mechanism shot plans, possibly just in markdown format. Then, I need to render manifests from the script and inspect the arguments involved. It feels like a bit of a process, but it sounds necessary!"}]}], "tool_calls": [{"id": "call_NEOJXuBg1R29ksnxZNCAZ5yr", "call_id": "call_NEOJXuBg1R29ksnxZNCAZ5yr", "response_item_id": "fc_0a92726500efb3ce016a118988e6a88191b14b913f00ce3a68", "type": "function", "function": {"name": "read_file", "arguments": "{\"limit\":180,\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/scripts/generate_mechanism_render_manifests.py\"}"}}], "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "tool", "name": "read_file", "content": "{\"content\": \"     1|\\\"\\\"\\\"Generate renderer manifests from Retention Studio mechanism explainers.\\\"\\\"\\\"\\n     2|\\n     3|from __future__ import annotations\\n     4|\\n     5|import argparse\\n     6|import json\\n     7|import sys\\n     8|from pathlib import Path\\n     9|\\n    10|PROJECT_ROOT = Path(__file__).resolve().parents[1]\\n    11|if str(PROJECT_ROOT) not in sys.path:\\n    12|    sys.path.insert(0, str(PROJECT_ROOT))\\n    13|\\n    14|from autoshorts.mechanism_pipeline import build_mechanism_shot_plan\\n    15|from autoshorts.render_manifest import write_render_manifests\\n    16|\\n    17|\\n    18|def main() -> None:\\n    19|    parser = argparse.ArgumentParser(description=\\\"Generate mechanism render manifests.\\\")\\n    20|    parser.add_argument(\\\"--explainers\\\", default=\\\"data/retention_studio/mechanism_explainers.json\\\")\\n    21|    parser.add_argument(\\\"--out\\\", default=\\\"data/render_manifests/mechanism_pilots\\\")\\n    22|    parser.add_argument(\\\"--title-contains\\\", default=None)\\n    23|    args = parser.parse_args()\\n    24|\\n    25|    explainers = json.loads(Path(args.explainers).read_text(encoding=\\\"utf-8\\\"))\\n    26|    if args.title_contains:\\n    27|        needle = args.title_contains.lower()\\n    28|        explainers = [item for item in explainers if needle in item[\\\"title\\\"].lower()]\\n    29|\\n    30|    plans = [build_mechanism_shot_plan(explainer) for explainer in explainers]\\n    31|    paths = write_render_manifests(plans, Path(args.out))\\n    32|    print(f\\\"Generated {len(paths)} mechanism render manifests in {args.out}\\\")\\n    33|    for path in paths:\\n    34|        print(path)\\n    35|\\n    36|\\n    37|if __name__ == \\\"__main__\\\":\\n    38|    main()\\n    39|\", \"total_lines\": 38, \"file_size\": 1362, \"truncated\": false, \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_NEOJXuBg1R29ksnxZNCAZ5yr", "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_N4zESNO8kj7U4S5EkRFtEI1Q", "call_id": "call_N4zESNO8kj7U4S5EkRFtEI1Q", "response_item_id": "fc_01b57cbf55ca1cd7016a11898d6b9c819199afba6d61bccae0", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"python scripts/generate_mechanism_shot_plans.py --out data/mechanism_shot_plans && python scripts/generate_mechanism_render_manifests.py --out data/render_manifests/mechanism_pilots && python scripts/generate_asset_plans.py --manifest data/render_manifests/mechanism_pilots --out data/asset_plans/mechanism_pilots && python scripts/generate_free_production_jobs.py --asset-plan data/asset_plans/mechanism_pilots --out data/free_production_jobs/mechanism_pilots && python scripts/render_free_local_motion.py --jobs data/free_production_jobs/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.json --out-dir data/local_motion_renders/mechanism_pilots --width 540 --height 960 --fps 15\",\"timeout\":600,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}"}}], "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \"Generated 10 mechanism shot plans in data/mechanism_shot_plans\\ndata/mechanism_shot_plans/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.md\\ndata/mechanism_shot_plans/hidden-money-systems-warum-0-finanzierung-nicht-kostenlos-ist.md\\ndata/mechanism_shot_plans/ai-agents-explained-warum-ki-agenten-ohne-regeln-gef-hrlich-werden.md\\ndata/mechanism_shot_plans/ai-agents-explained-der-unterschied-zwischen-chatbot-und-echtem-agenten.md\\ndata/mechanism_shot_plans/swiss-systems-explained-warum-ein-bauprojekt-fast-nie-beim-ersten-preis-bleibt.md\\ndata/mechanism_shot_plans/swiss-systems-explained-wie-ein-einwohnerrat-wirklich-entscheidet.md\\ndata/mechanism_shot_plans/dangerous-thinking-errors-warum-dein-gehirn-schlechte-deals-sch-nrechnet.md\\ndata/mechanism_shot_plans/dangerous-thinking-errors-warum-du-verlusten-hinterherrennst.md\\ndata/mechanism_shot_plans/hidden-attention-systems-warum-shorts-dich-nicht-wegen-dem-inhalt-halten.md\\ndata/mechanism_shot_plans/hidden-money-systems-warum-banken-geb-hren-verstecken-k-nnen-ohne-sie-zu-verstecken.md\\nGenerated 10 mechanism render manifests in data/render_manifests/mechanism_pilots\\ndata/render_manifests/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.json\\ndata/render_manifests/mechanism_pilots/hidden-money-systems-warum-0-finanzierung-nicht-kostenlos-ist.json\\ndata/render_manifests/mechanism_pilots/ai-agents-explained-warum-ki-agenten-ohne-regeln-gef-hrlich-werden.json\\ndata/render_manifests/mechanism_pilots/ai-agents-explained-der-unterschied-zwischen-chatbot-und-echtem-agenten.json\\ndata/render_manifests/mechanism_pilots/swiss-systems-explained-warum-ein-bauprojekt-fast-nie-beim-ersten-preis-bleibt.json\\ndata/render_manifests/mechanism_pilots/swiss-systems-explained-wie-ein-einwohnerrat-wirklich-entscheidet.json\\ndata/render_manifests/mechanism_pilots/dangerous-thinking-errors-warum-dein-gehirn-schlechte-deals-sch-nrechnet.json\\ndata/render_manifests/mechanism_pilots/dangerous-thinking-errors-warum-du-verlusten-hinterherrennst.json\\ndata/render_manifests/mechanism_pilots/hidden-attention-systems-warum-shorts-dich-nicht-wegen-dem-inhalt-halten.json\\ndata/render_manifests/mechanism_pilots/hidden-money-systems-warum-banken-geb-hren-verstecken-k-nnen-ohne-sie-zu-verstecken.json\\nGenerated 10 asset plans in data/asset_plans/mechanism_pilots\\ndata/asset_plans/mechanism_pilots/ai-agents-explained-der-unterschied-zwischen-chatbot-und-echtem-agenten.json\\ndata/asset_plans/mechanism_pilots/ai-agents-explained-warum-ki-agenten-ohne-regeln-gef-hrlich-werden.json\\ndata/asset_plans/mechanism_pilots/dangerous-thinking-errors-warum-dein-gehirn-schlechte-deals-sch-nrechnet.json\\ndata/asset_plans/mechanism_pilots/dangerous-thinking-errors-warum-du-verlusten-hinterherrennst.json\\ndata/asset_plans/mechanism_pilots/hidden-attention-systems-warum-shorts-dich-nicht-wegen-dem-inhalt-halten.json\\ndata/asset_plans/mechanism_pilots/hidden-money-systems-warum-0-finanzierung-nicht-kostenlos-ist.json\\ndata/asset_plans/mechanism_pilots/hidden-money-systems-warum-banken-geb-hren-verstecken-k-nnen-ohne-sie-zu-verstecken.json\\ndata/asset_plans/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.json\\ndata/asset_plans/mechanism_pilots/swiss-systems-explained-warum-ein-bauprojekt-fast-nie-beim-ersten-preis-bleibt.json\\ndata/asset_plans/mechanism_pilots/swiss-systems-explained-wie-ein-einwohnerrat-wirklich-entscheidet.json\\nGenerated 10 free production job specs in data/free_production_jobs/mechanism_pilots\\ndata/free_production_jobs/mechanism_pilots/ai-agents-explained-der-unterschied-zwischen-chatbot-und-echtem-agenten.json\\ndata/free_production_jobs/mechanism_pilots/ai-agents-explained-warum-ki-agenten-ohne-regeln-gef-hrlich-werden.json\\ndata/free_production_jobs/mechanism_pilots/dangerous-thinking-errors-warum-dein-gehirn-schlechte-deals-sch-nrechnet.json\\ndata/free_production_jobs/mechanism_pilots/dangerous-thinking-errors-warum-du-verlusten-hinterherrennst.json\\ndata/free_production_jobs/mechanism_pilots/hidden-attention-systems-warum-shorts-dich-nicht-wegen-dem-inhalt-halten.json\\ndata/free_production_jobs/mechanism_pilots/hidden-money-systems-warum-0-finanzierung-nicht-kostenlos-ist.json\\ndata/free_production_jobs/mechanism_pilots/hidden-money-systems-warum-banken-geb-hren-verstecken-k-nnen-ohne-sie-zu-verstecken.json\\ndata/free_production_jobs/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.json\\ndata/free_production_jobs/mechanism_pilots/swiss-systems-explained-warum-ein-bauprojekt-fast-nie-beim-ersten-preis-bleibt.json\\ndata/free_production_jobs/mechanism_pilots/swiss-systems-explained-wie-ein-einwohnerrat-wirklich-entscheidet.json\\nRendered local motion video: data/local_motion_renders/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.mp4\\nMetadata: data/local_motion_renders/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.json\\nScenes: 5 | duration: 34s | fps: 15\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_N4zESNO8kj7U4S5EkRFtEI1Q", "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "assistant", "content": "", "reasoning": "**Inspecting generated plans**\n\nI accidentally generated 10 plans, which seems excessive since it used to just be one. I need to clarify if multiple files were intended. The summary mentioned only a pilot, but there's also a chance we need retention explainers for all 10. Should I include everything or is that overkill? I'll check the git status and see if the file sizes are manageable. Plus, those German slugs replacing umlauts with hyphens look odd to me. I really should verify the screenshot again at the 8-second mark.", "finish_reason": "tool_calls", "reasoning_content": "**Inspecting generated plans**\n\nI accidentally generated 10 plans, which seems excessive since it used to just be one. I need to clarify if multiple files were intended. The summary mentioned only a pilot, but there's also a chance we need retention explainers for all 10. Should I include everything or is that overkill? I'll check the git status and see if the file sizes are manageable. Plus, those German slugs replacing umlauts with hyphens look odd to me. I really should verify the screenshot again at the 8-second mark.", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqEYmoeU-gu1Y3XmZ1uYVVF3_8-BsDnzHTKGK2825BlTIp8Rf-mqrQ21upSI0QFUYDMU8YCLhSa6usgS9uI3h3lDqsT3LlFaUqjH8JIbaGtawq3F3UN2WMUCRSYHDYiMyekp9V_OxDB6nRJ8FK1BmOhoqIJ4gZ-jTqYmyd0vB7IkrAhefLevDt669je-x_YyF3DoAzX8frWm1ZZKc2kfTWl_V7Q7SZUpCew_9vW8fLGqIvKmpZbbZq07mXAaKOwFW8VB2SdQnuYJppZhoEZuCw8pkvWSSIU9uqjZRlBsCzjnd2mmIDyQoFvuRE53gkh5gAk8xwDQLccuh42ayZCVC7sdtZItEmT2abHDz5o3anb3Cl_UvEXskpuBfgQKEBn2wC6XQhMBV5yKd3WsdDRlsbcJdw4ssNCSRQtWB_U5XFjhCjWj5YArGY26crcP5m2vHmVBGSfNE3U8W9UkBtaCft2j0GednhhI_ImoZ7VDjjyQ0KjG9uRbqHv91DFdMj_6dv5BIovbvgxRS8iR1PwhZPoco_wkA-Hb-WISo8Vyj5s2AGaw9_8jhfxL52cD1RgOCOR6AXHHuBAXt6lBeSBLXW0IeReGVqQedQZcQkjM7nQTucP6eY1cDfsDxk8oaESzaPTEOovebobVNodDyKAUweQl6aFNfRDPCaRZDJ-5_MH9h9vEo-6q1wO0XMAVRIuEy-9zLb_UE4lzlgtGqYfsdq1gjJv9tt2-bHX3FSb7_Q8q0T02AZre2F-RKU116q5JpfRaE3BsaF-jV3tPnD3XTlLw9OhWNqo7PN6MUuuCG6Lw9Q-Dop0PIzEuamBtUGeiUqzoSrB7rnrrNVnpEpJeY-VjonTjBu6NNMvX3ITnIHIJo3l2j_iW8RW78VKYkeD9VAcgv5v6pA9c_biumD5j_uNofgQ6mNgP8P75Bmkj2jnhYhzbaiBlFRatjC3DS4WgRI-RhQVORfb0QJadRoIOtWDqMbshc4lHuj7jN6iO8KUYr87oP6QUmlrO74jYUIzlDxl9ZG3ggqjtkvxz8nkpDmS9zhLpL9AnUSbWus3Sn1xfqD48TONn0gT0y5W7uEMkmnDFwtMnsVTz-nAeGn6Xga1qsi1kx3HW3OUL8mcX8M76hPA8SMwhLBPAMLlU1tu7kX4d6S0i0Vnrs7R3la9T3pTYn2vZd32MjF1udeTefLnOaRjIi5paYEglryn1PSSJm9ab-g4rTImRK0kraKF3xUG55mliRmh0jSNMdNyQIg85Cefvmb-tbsfG1eH79xXwlWZUaG6o8M9Z3gN1ALbd0GUDQJTjRXyCGFUJ_-XIqpQdJefnvQvlCZPGpaJtJdXtOpmNRf4o8PPBnT1Ip0GufWhXBxG3siSTtQncZL6jQKu0ZhlztaKVxWOpYVBCUXvd-32-xeNvXt5t1iBu2JoOVhyNU7XoBiNSmaFVHTOQqeboOJj26v8LMPgHeY61KDsL_2u_-9gj_pJP0NsU9sO81_K1kyzwUI-lCxx_2HDKPl3FUGI-oQQi4Eqpf9KXHe8VF8YyL9CQmAeVnyG9w7IrsjUz0uIudHqm0Y2sjHTq4rpyD20-CazkOjAmAU5QfXdM3SNUdsuE8hrybI7JRloXuhF-PoKHiYPZlJD6kMKkkO3xh-fktOiUifbHfy2jhGOj9zVVuNcGfAv07XPdYMNwfyv3pjZw==", "id": "rs_04c906f9eb5f0c89016a1189a42c948191b2f4b1fee90b46bc", "summary": [{"type": "summary_text", "text": "**Inspecting generated plans**\n\nI accidentally generated 10 plans, which seems excessive since it used to just be one. I need to clarify if multiple files were intended. The summary mentioned only a pilot, but there's also a chance we need retention explainers for all 10. Should I include everything or is that overkill? I'll check the git status and see if the file sizes are manageable. Plus, those German slugs replacing umlauts with hyphens look odd to me. I really should verify the screenshot again at the 8-second mark."}]}], "tool_calls": [{"id": "call_p2E7SkY2vzIU9mEAuOq56IgK", "call_id": "call_p2E7SkY2vzIU9mEAuOq56IgK", "response_item_id": "fc_04c906f9eb5f0c89016a1189a89b2c8191904d0259f3a18ebf", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"ffmpeg -y -ss 00:00:08 -i data/local_motion_renders/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.mp4 -frames:v 1 /tmp/autoshorts_preview_check/frame_8s_final.jpg >/dev/null 2>&1 && ffprobe -v error -select_streams v:0 -show_entries stream=width,height,avg_frame_rate,duration -of default=nw=1:nk=1 data/local_motion_renders/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.mp4 && git status --short\",\"timeout\":60,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}"}}], "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \"540\\n960\\n15/1\\n34.000000\\n M autoshorts/asset_plan.py\\n M autoshorts/mechanism_pipeline.py\\n M data/asset_plans/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.json\\n M data/free_production_jobs/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.json\\n M data/mechanism_shot_plans/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.md\\n M data/render_manifests/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.json\\n M tests/test_free_production_jobs.py\\n M tests/test_mechanism_pipeline.py\\n?? autoshorts/local_motion_renderer.py\\n?? autoshorts/review_package.py\\n?? data/asset_plans/mechanism_pilots/ai-agents-explained-der-unterschied-zwischen-chatbot-und-echtem-agenten.json\\n?? data/asset_plans/mechanism_pilots/ai-agents-explained-warum-ki-agenten-ohne-regeln-gef-hrlich-werden.json\\n?? data/asset_plans/mechanism_pilots/dangerous-thinking-errors-warum-dein-gehirn-schlechte-deals-sch-nrechnet.json\\n?? data/asset_plans/mechanism_pilots/dangerous-thinking-errors-warum-du-verlusten-hinterherrennst.json\\n?? data/asset_plans/mechanism_pilots/hidden-attention-systems-warum-shorts-dich-nicht-wegen-dem-inhalt-halten.json\\n?? data/asset_plans/mechanism_pilots/hidden-money-systems-warum-0-finanzierung-nicht-kostenlos-ist.json\\n?? data/asset_plans/mechanism_pilots/hidden-money-systems-warum-banken-geb-hren-verstecken-k-nnen-ohne-sie-zu-verstecken.json\\n?? data/asset_plans/mechanism_pilots/swiss-systems-explained-warum-ein-bauprojekt-fast-nie-beim-ersten-preis-bleibt.json\\n?? data/asset_plans/mechanism_pilots/swiss-systems-explained-wie-ein-einwohnerrat-wirklich-entscheidet.json\\n?? data/free_production_jobs/mechanism_pilots/ai-agents-explained-der-unterschied-zwischen-chatbot-und-echtem-agenten.json\\n?? data/free_production_jobs/mechanism_pilots/ai-agents-explained-warum-ki-agenten-ohne-regeln-gef-hrlich-werden.json\\n?? data/free_production_jobs/mechanism_pilots/dangerous-thinking-errors-warum-dein-gehirn-schlechte-deals-sch-nrechnet.json\\n?? data/free_production_jobs/mechanism_pilots/dangerous-thinking-errors-warum-du-verlusten-hinterherrennst.json\\n?? data/free_production_jobs/mechanism_pilots/hidden-attention-systems-warum-shorts-dich-nicht-wegen-dem-inhalt-halten.json\\n?? data/free_production_jobs/mechanism_pilots/hidden-money-systems-warum-0-finanzierung-nicht-kostenlos-ist.json\\n?? data/free_production_jobs/mechanism_pilots/hidden-money-systems-warum-banken-geb-hren-verstecken-k-nnen-ohne-sie-zu-verstecken.json\\n?? data/free_production_jobs/mechanism_pilots/swiss-systems-explained-warum-ein-bauprojekt-fast-nie-beim-ersten-preis-bleibt.json\\n?? data/free_production_jobs/mechanism_pilots/swiss-systems-explained-wie-ein-einwohnerrat-wirklich-entscheidet.json\\n?? data/local_motion_renders/\\n?? data/mechanism_shot_plans/ai-agents-explained-der-unterschied-zwischen-chatbot-und-echtem-agenten.md\\n?? data/mechanism_shot_plans/ai-agents-explained-warum-ki-agenten-ohne-regeln-gef-hrlich-werden.md\\n?? data/mechanism_shot_plans/dangerous-thinking-errors-warum-dein-gehirn-schlechte-deals-sch-nrechnet.md\\n?? data/mechanism_shot_plans/dangerous-thinking-errors-warum-du-verlusten-hinterherrennst.md\\n?? data/mechanism_shot_plans/hidden-attention-systems-warum-shorts-dich-nicht-wegen-dem-inhalt-halten.md\\n?? data/mechanism_shot_plans/hidden-money-systems-warum-0-finanzierung-nicht-kostenlos-ist.md\\n?? data/mechanism_shot_plans/hidden-money-systems-warum-banken-geb-hren-verstecken-k-nnen-ohne-sie-zu-verstecken.md\\n?? data/mechanism_shot_plans/swiss-systems-explained-warum-ein-bauprojekt-fast-nie-beim-ersten-preis-bleibt.md\\n?? data/mechanism_shot_plans/swiss-systems-explained-wie-ein-einwohnerrat-wirklich-entscheidet.md\\n?? data/render_manifests/mechanism_pilots/ai-agents-explained-der-unterschied-zwischen-chatbot-und-echtem-agenten.json\\n?? data/render_manifests/mechanism_pilots/ai-agents-explained-warum-ki-agenten-ohne-regeln-gef-hrlich-werden.json\\n?? data/render_manifests/mechanism_pilots/dangerous-thinking-errors-warum-dein-gehirn-schlechte-deals-sch-nrechnet.json\\n?? data/render_manifests/mechanism_pilots/dangerous-thinking-errors-warum-du-verlusten-hinterherrennst.json\\n?? data/render_manifests/mechanism_pilots/hidden-attention-systems-warum-shorts-dich-nicht-wegen-dem-inhalt-halten.json\\n?? data/render_manifests/mechanism_pilots/hidden-money-systems-warum-0-finanzierung-nicht-kostenlos-ist.json\\n?? data/render_manifests/mechanism_pilots/hidden-money-systems-warum-banken-geb-hren-verstecken-k-nnen-ohne-sie-zu-verstecken.json\\n?? data/render_manifests/mechanism_pilots/swiss-systems-explained-warum-ein-bauprojekt-fast-nie-beim-ersten-preis-bleibt.json\\n?? data/render_manifests/mechanism_pilots/swiss-systems-explained-wie-ein-einwohnerrat-wirklich-entscheidet.json\\n?? data/telegram_reviews/\\n?? scripts/generate_telegram_review_packages.py\\n?? scripts/render_free_local_motion.py\\n?? tests/test_local_motion_renderer.py\\n?? tests/test_review_package.py\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_p2E7SkY2vzIU9mEAuOq56IgK", "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "assistant", "content": "", "reasoning": "**Considering artifact files**\n\nI'm trying to decide whether to include 10 new artifact files. They were generated by accident, but maybe they're fine to include since the previous activity was only for the pilot. I think it's better to remove untracked files to keep things clear for other pilots. \n\nI'm considering using a Python script to safely delete those untracked files, making sure not to touch any tracked or modified files. The .gitignore could help with managing these generated files.", "finish_reason": "tool_calls", "reasoning_content": "**Considering artifact files**\n\nI'm trying to decide whether to include 10 new artifact files. They were generated by accident, but maybe they're fine to include since the previous activity was only for the pilot. I think it's better to remove untracked files to keep things clear for other pilots. \n\nI'm considering using a Python script to safely delete those untracked files, making sure not to touch any tracked or modified files. The .gitignore could help with managing these generated files.", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqEYmx5MqZV4tWjtk6uaPiwdslAES6hhrQ8A0uoUQsRX1R9LBrgH8CpiXtTMr9gQKzLGyXF_i_S2IaBaS0g4ts2mGFzUDmDIHTO84POwRV-BnKAnTrg1E5Idp9DdsObYUfQWaRghLv_lfp3vXEB65IKhLy8NYQgD2OX7cM_im1O-3MvydDDfoh1sl_wKEE4dl7elCzzVTYTpScwjXqERCeexJP3T4E5wuXDiEqjtbPfPaSigmM2gU4fLzsl_0A5FuyDD6uhQDf-Dd3dOOp5OSuolbHwaemKD4ei_ceMJC7r40K_2x83acGt6vcdX3ibW3_lTqRKTiVfIDEpZTGyRIi14ll0xrd3Dj-06QfIwROkNHDiUr_MONbhlc3oReeaTridds6P9wGoD6iHkMa4JUp1FvyX3hC3O06dIN6ETJBPSiSnh5kXm_qdQpFGLTcIpl8enOw9QNMcdmgITGpUMHVA-k_DBYIiQ1xeVNeAFclhciNHYrcQZziIlggNikY4WMvXBzTHAs6Qsad_UF7xa8y7QZQHBZQqARgcmspvnNZ2MUi7Kgm979-N0QY-ox2dWjL11V2nvExf-F1hR7TTVJxPfS2VrFZJfzWrrQRNkuRqQR4dowslDuA39MnMGE_RsUWQhV9vVTo3NGa-4kgj-M_1-3hzLs-PKBWJ98hxh0OSpigh7RcLJZ-A8bytPCq6rp2jA5ihNmB3lR4DbxjhrzlrLcYk-1pO1L30fH5Kq9a5ixy0CMGGlHQU0rMnXZHB9eNKxKZ2mgZsWDNeH1o04DpcSJ6OGnaWOeOM9UAh0Jhx3gaaTgeklH9XNhb-xq6iM_PKeQG93YRcTl7LEPL8dMRPUARHq8DIPZgyu_RdggzsmFklHhBu1GnBAkLS8UhnqO3T5M02_xikZFs4s-EptmaMTZx2o3XenxRocu6eJmGJynYWrjcOtlELxkYAj4rZ9EdeTn8sN4a94gR-1lJgP8HriwGZ2yFL9svGb15SJH4S24OZtEnEFQ2QOrzIUrDJX1Ka3ckJnzGSLqs4FSofD8PpBzGAt3uzOlDmd1Lvw_iyxgflK_fwK_DjXsYINrGpHoncWcWEg17L8MeiAs1KGDy_JL-lSUk8MOOQt_1yzvI0BsSUOd-7jY8mEgaJhotuw2TuQD9wLm7t90doCGIhU31WY4GCVtC1boYf5GiXwii3VXBYgJnvLpPW0TvhvzdbXa9Wiy5j96xgRHs_4hRYrWZzssMBJ7ToXjYE2lD8uMRmIbzgiuNnzJaTolK8hje2-UrIeRkqVYqwZn-c30r4laDSMVa7mXWgEoUq3NHOcFEXTq75VsOBe0sz4ojUcQsJj907H2Ry6jLJzq2sWtmRK9bM3XxB39QGd-Yprr0PH2AoCORCeC4-GBXmh52dPeOqyETnDCf5NI783ldzGsL9HUcRSMK1D9BKsKI3gNunb9oD7AhgIz5vBq9dX0-Upo-jiKpEtjyLXMTG9NhnQ7AcsTvNxsxctCT6A7N5oMKLm5FGWV95duaKtX48A6df2NBms-vwuXC9Ywhccd5s5smkVG_Hu5ms3V9Bvqw6UhgnWEGLY8Xh2R01-RHEIzRbKSy1PdDs_bCqXBOnEdPvLscBhCkximtkd0EZYdX-_UeacDn2bx1hT6_vfED7NbdDReHDZfGgU5QWeZgyRoBf3D6wa0BG8WPAMhZF8flKtzJvTVU_K3H4aFUKhtIIarIiMEo2z5IL1puKSA1Uqta7RNBoT3v5nE4azfX2i_xm46U3Stczj8SFhEux7OhynzvyaoW1Q2nDmQEOqRsjtHhciZ8jqioZxiddI_n1hLwmXdv2EcVC95vfTKog4ES90hNqIAyv4TpyRJjmU0vgUxEVUyAM_iiH8CbQuopXqj2cti7dxcfBRTgEmR3Q09VXijFF-cNkfNSdPps7N_y2X8tlsx6zxbY7MQ2ugsQpIXCumqni10rkt3AekXPiOJK9QmeCFVvEWzMdcXfmH-pDD-NB9toC-sthHMIJTvnLDu0vP6A-vcl2t8wBIjhGZTV0CVRbrGQnwe57eql7TKogVXQJPpX62rUFHkOyxd5Q_9Em6w1WaYUU7vOn3M=", "id": "rs_00498405f1f60d86016a1189acd358819187f52d9868c3c28f", "summary": [{"type": "summary_text", "text": "**Considering artifact files**\n\nI'm trying to decide whether to include 10 new artifact files. They were generated by accident, but maybe they're fine to include since the previous activity was only for the pilot. I think it's better to remove untracked files to keep things clear for other pilots. \n\nI'm considering using a Python script to safely delete those untracked files, making sure not to touch any tracked or modified files. The .gitignore could help with managing these generated files."}]}], "tool_calls": [{"id": "call_HUCkD1gYjYuwTLDIowfAYqe5", "call_id": "call_HUCkD1gYjYuwTLDIowfAYqe5", "response_item_id": "fc_00498405f1f60d86016a1189b1c5c881919a6acb0eaac6a6d0", "type": "function", "function": {"name": "read_file", "arguments": "{\"limit\":200,\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/.gitignore\"}"}}], "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "tool", "name": "read_file", "content": "{\"content\": \"     1|# Python\\n     2|__pycache__/\\n     3|*.py[cod]\\n     4|.pytest_cache/\\n     5|.ruff_cache/\\n     6|.mypy_cache/\\n     7|.venv/\\n     8|venv/\\n     9|\\n    10|# Secrets\\n    11|.env\\n    12|.env.*\\n    13|*.token\\n    14|*token*\\n    15|secrets/\\n    16|credentials/\\n    17|\\n    18|# Generated media / heavy local outputs\\n    19|assets/\\n    20|output/\\n    21|output_videos/\\n    22|input_videos/\\n    23|*.mp4\\n    24|*.mov\\n    25|*.mp3\\n    26|*.wav\\n    27|*.vtt\\n    28|*.jpg\\n    29|*.jpeg\\n    30|*.png\\n    31|\\n    32|# Local runtime data\\n    33|data/performance/*.local.json\\n    34|data/generated/\\n    35|\", \"total_lines\": 34, \"file_size\": 350, \"truncated\": false, \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_HUCkD1gYjYuwTLDIowfAYqe5", "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "assistant", "content": "", "reasoning": "**Considering code changes**\n\nI’ve noticed that the .mp4 files are being ignored, but the JSON metadata isn't being tracked. I could add `data/local_motion_renders/` to the `.gitignore` file to fix that. This involves some code changes, but I’m wondering if I need test-driven development (TDD) or configuration — which might not be required here. I should also consider deleting extra untracked artifacts since they’re JSON/MD and not ignored. Additionally, I should remove the extra directories. I can use `execute_code` for this.", "finish_reason": "tool_calls", "reasoning_content": "**Considering code changes**\n\nI’ve noticed that the .mp4 files are being ignored, but the JSON metadata isn't being tracked. I could add `data/local_motion_renders/` to the `.gitignore` file to fix that. This involves some code changes, but I’m wondering if I need test-driven development (TDD) or configuration — which might not be required here. I should also consider deleting extra untracked artifacts since they’re JSON/MD and not ignored. Additionally, I should remove the extra directories. I can use `execute_code` for this.", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqEYpyCJ7TYFJJEud35_RNEkhENSlFvgEK_RkD8mX6ERlj4B0oE_cGNEfmRQYZv5crhhX-9Os4lUtgaDa3a8WfaW76P5qFCgRVHWRYLJsREYEM42Ex6DQ8jbPMT8wtE5OavsbB_wdUMlQ6nk1KEI1F-OVpgswQR6oDYgIGgKhqoImgjOYjlqSeVb_MeQUWq2NVoEmaBHFOzZVQh4omaAE4I619iCEAppLHhFylUptZvLFXa_y4MlUqRuinCvGE9TMOYPdguVxU1D0GuzfHMsbnlqjtCgJwiqmG-89kr52HJyKdTy7ujV6Fw2fbld7O2LqJ5ReMqucHi9nrbyESFX6cBfQjkToPSM07nfI4Dl3-OAn4FU1FyPq2ZJk9ixPHESD1RDdbi_u-NNkbE5E7KQdjpDJfDvqwqFTjYQ3wb8-RGvhDb_qYPW6eBvQt3baJd7lVGuhSM5BF7BCclxfce6YxASZuSqAyNVcMEwJyJX4VrGLfrshVsRANiclrVrxDvD99N_DJFOKvzLRcSxdgSznh4UiNH9zZgMwFL3h9KCHHq9Xvlw3NcffPm7SEjAy3r1m2A2ITp1pyskf1jvVUmQCTePWCKsAbS1_YYdWbG3KBfWcC7PKFRLnKn0IJx_niiBy0ha1JyMxJRKU8o-0TV5iMeP2emq5o2a7PvZ30dnq5nAMgpqo1vynp2FuqYK_XvFtxenQ0Zui9DyeZjKOk2hnElIS68GugNaEz394TwgEDXHqoLxZlXx6qjGXgP3eIhwHe2nSqrdyZkeVp8K7QuW-Eom-xh8TyCToMp8mviFF_XDJR_wclvDWZVUszy2DaZkgAzq8QtSlDE06D6JV8lEjrt7JheIi3dRvO7fZMO5PnPtWfsKeLFBaQh_pxdfAMwzGcQWOlCM1IKez3YpK-R83yYX93XTu-DKaIpSMgwCBM76WFfUZiN64YCqU7GZEKus4ba46cSYeyAJ5uSQf2Vs-Ugf0sGtJ1rN9aU1B87BTPJrfj-OJWUDkQ5QieYb2CsDYWQuZR2Ej63df0aU9pHhJcvl6nwEnNy1uP_v0tUbH0UnP2WrontnZJxJ9okDrFDyi74J6LuwS7nqEUcj-GT1FvbXMLESqtd8ZWx8peFxFyKBR2dWktrlFxxrE8mLWhvyKs8WWx6FCEwJKQ150KHZ84osk38GJ8R0W58y4pMjTknkqIyAwOKzzMQNhK-5ZIPV8Vu5CJA-hTmm4g3aPTqN9aNPCe9bawUq5XpENwc8hEozj9IBcA6lnQ7MQVqDKjxuITYhZjjwL5ccACeP4O-fuqoPnRZA==", "id": "rs_0a274b9bcb9712b3016a118a6eada08191a0bbacd726a2d4b7", "summary": [{"type": "summary_text", "text": "**Considering code changes**\n\nI’ve noticed that the .mp4 files are being ignored, but the JSON metadata isn't being tracked. I could add `data/local_motion_renders/` to the `.gitignore` file to fix that. This involves some code changes, but I’m wondering if I need test-driven development (TDD) or configuration — which might not be required here. I should also consider deleting extra untracked artifacts since they’re JSON/MD and not ignored. Additionally, I should remove the extra directories. I can use `execute_code` for this."}]}], "tool_calls": [{"id": "call_NvYW6BItQSbyWAK0teCToIrF", "call_id": "call_NvYW6BItQSbyWAK0teCToIrF", "response_item_id": "fc_0a274b9bcb9712b3016a118a722c4c8191a993d3d6c67170ef", "type": "function", "function": {"name": "execute_code", "arguments": "{\"code\":\"from pathlib import Path\\nroot=Path('/home/agent/jarvis_runtime/AutoShortsBot')\\npilot='hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann'\\ndirs=[\\n 'data/asset_plans/mechanism_pilots',\\n 'data/free_production_jobs/mechanism_pilots',\\n 'data/mechanism_shot_plans',\\n 'data/render_manifests/mechanism_pilots',\\n]\\nremoved=[]\\nfor d in dirs:\\n    for p in (root/d).iterdir():\\n        if p.is_file() and pilot not in p.name:\\n            p.unlink()\\n            removed.append(str(p.relative_to(root)))\\nprint('\\\\n'.join(removed))\"}"}}], "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "tool", "name": "execute_code", "content": "{\"status\": \"success\", \"output\": \"data/asset_plans/mechanism_pilots/ai-agents-explained-warum-ki-agenten-ohne-regeln-gef-hrlich-werden.json\\ndata/asset_plans/mechanism_pilots/swiss-systems-explained-wie-ein-einwohnerrat-wirklich-entscheidet.json\\ndata/asset_plans/mechanism_pilots/hidden-money-systems-warum-0-finanzierung-nicht-kostenlos-ist.json\\ndata/asset_plans/mechanism_pilots/dangerous-thinking-errors-warum-du-verlusten-hinterherrennst.json\\ndata/asset_plans/mechanism_pilots/hidden-attention-systems-warum-shorts-dich-nicht-wegen-dem-inhalt-halten.json\\ndata/asset_plans/mechanism_pilots/hidden-money-systems-warum-banken-geb-hren-verstecken-k-nnen-ohne-sie-zu-verstecken.json\\ndata/asset_plans/mechanism_pilots/ai-agents-explained-der-unterschied-zwischen-chatbot-und-echtem-agenten.json\\ndata/asset_plans/mechanism_pilots/swiss-systems-explained-warum-ein-bauprojekt-fast-nie-beim-ersten-preis-bleibt.json\\ndata/asset_plans/mechanism_pilots/dangerous-thinking-errors-warum-dein-gehirn-schlechte-deals-sch-nrechnet.json\\ndata/free_production_jobs/mechanism_pilots/ai-agents-explained-warum-ki-agenten-ohne-regeln-gef-hrlich-werden.json\\ndata/free_production_jobs/mechanism_pilots/swiss-systems-explained-wie-ein-einwohnerrat-wirklich-entscheidet.json\\ndata/free_production_jobs/mechanism_pilots/hidden-money-systems-warum-0-finanzierung-nicht-kostenlos-ist.json\\ndata/free_production_jobs/mechanism_pilots/dangerous-thinking-errors-warum-du-verlusten-hinterherrennst.json\\ndata/free_production_jobs/mechanism_pilots/hidden-attention-systems-warum-shorts-dich-nicht-wegen-dem-inhalt-halten.json\\ndata/free_production_jobs/mechanism_pilots/hidden-money-systems-warum-banken-geb-hren-verstecken-k-nnen-ohne-sie-zu-verstecken.json\\ndata/free_production_jobs/mechanism_pilots/ai-agents-explained-der-unterschied-zwischen-chatbot-und-echtem-agenten.json\\ndata/free_production_jobs/mechanism_pilots/swiss-systems-explained-warum-ein-bauprojekt-fast-nie-beim-ersten-preis-bleibt.json\\ndata/free_production_jobs/mechanism_pilots/dangerous-thinking-errors-warum-dein-gehirn-schlechte-deals-sch-nrechnet.json\\ndata/mechanism_shot_plans/swiss-systems-explained-warum-ein-bauprojekt-fast-nie-beim-ersten-preis-bleibt.md\\ndata/mechanism_shot_plans/hidden-money-systems-warum-0-finanzierung-nicht-kostenlos-ist.md\\ndata/mechanism_shot_plans/dangerous-thinking-errors-warum-du-verlusten-hinterherrennst.md\\ndata/mechanism_shot_plans/ai-agents-explained-warum-ki-agenten-ohne-regeln-gef-hrlich-werden.md\\ndata/mechanism_shot_plans/hidden-attention-systems-warum-shorts-dich-nicht-wegen-dem-inhalt-halten.md\\ndata/mechanism_shot_plans/ai-agents-explained-der-unterschied-zwischen-chatbot-und-echtem-agenten.md\\ndata/mechanism_shot_plans/swiss-systems-explained-wie-ein-einwohnerrat-wirklich-entscheidet.md\\ndata/mechanism_shot_plans/dangerous-thinking-errors-warum-dein-gehirn-schlechte-deals-sch-nrechnet.md\\ndata/mechanism_shot_plans/hidden-money-systems-warum-banken-geb-hren-verstecken-k-nnen-ohne-sie-zu-verstecken.md\\ndata/render_manifests/mechanism_pilots/ai-agents-explained-warum-ki-agenten-ohne-regeln-gef-hrlich-werden.json\\ndata/render_manifests/mechanism_pilots/swiss-systems-explained-wie-ein-einwohnerrat-wirklich-entscheidet.json\\ndata/render_manifests/mechanism_pilots/hidden-money-systems-warum-0-finanzierung-nicht-kostenlos-ist.json\\ndata/render_manifests/mechanism_pilots/dangerous-thinking-errors-warum-du-verlusten-hinterherrennst.json\\ndata/render_manifests/mechanism_pilots/hidden-attention-systems-warum-shorts-dich-nicht-wegen-dem-inhalt-halten.json\\ndata/render_manifests/mechanism_pilots/hidden-money-systems-warum-banken-geb-hren-verstecken-k-nnen-ohne-sie-zu-verstecken.json\\ndata/render_manifests/mechanism_pilots/ai-agents-explained-der-unterschied-zwischen-chatbot-und-echtem-agenten.json\\ndata/render_manifests/mechanism_pilots/swiss-systems-explained-warum-ein-bauprojekt-fast-nie-beim-ersten-preis-bleibt.json\\ndata/render_manifests/mechanism_pilots/dangerous-thinking-errors-warum-dein-gehirn-schlechte-deals-sch-nrechnet.json\\n\", \"tool_calls_made\": 0, \"duration_seconds\": 0.24}", "tool_call_id": "call_NvYW6BItQSbyWAK0teCToIrF", "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_yL7BYfKIscDxotfMNx3N49i1", "call_id": "call_yL7BYfKIscDxotfMNx3N49i1", "response_item_id": "fc_0931243020da8856016a118a7a904c8191b7bef6cb23f1a903", "type": "function", "function": {"name": "patch", "arguments": "{\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/.gitignore\",\"old_string\":\"data/performance/*.local.json\\ndata/generated/\\n\",\"new_string\":\"data/performance/*.local.json\\ndata/generated/\\ndata/local_motion_renders/\\n\"}"}}], "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/agent/jarvis_runtime/AutoShortsBot/.gitignore\\n+++ b//home/agent/jarvis_runtime/AutoShortsBot/.gitignore\\n@@ -32,3 +32,4 @@\\n # Local runtime data\\n data/performance/*.local.json\\n data/generated/\\n+data/local_motion_renders/\\n\", \"files_modified\": [\"/home/agent/jarvis_runtime/AutoShortsBot/.gitignore\"], \"lint\": {\"status\": \"skipped\", \"message\": \"No linter for  files\"}}", "tool_call_id": "call_yL7BYfKIscDxotfMNx3N49i1", "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqEYqCdB7OCc1qpEa9eeG6N9IdFvd4RjLga_EaXtvCli7M_GSLFmdNFvMFIj4Jk-6fSjnaJXpgq6XLy3IXCr0he_r-p1AkhQxTLVLYLTAmVF5UGF5JgEZ1gu7FrwcfBZ-xp6aIsV6So3fXdojJ0zhbC-m3tDZDmfDQFDTaAORg2r46E3yWfimmt-ovo3P936h2IqhOAg1SpfwPnOuin-zbRiSdl3whCXHDHp4ADjy1nRKCyqAQ5ivNFCYcbSnQzo-6pIF-EZ7eHdjQa9_VYxITFY3jNqLNSCq01naWqG2-ZBgqwt85Ph4H8jPVaWx6XvtBlaQa14gejXGE5iFWbAopPDWXnisuDwIPwgctUm5tAfCX4xAlsbq5luckVxjC1BSkoaJCD8mfTr8qbcC0leLA23DvVZQwUPNpe95Eyew3RuCpR_VXLkXMTQf3lVrymkpsoIr9pSJAHP0upJ9z6idNSYWxGU5z--8X_w1fCyfeoK8-8ChwcJY-3_5J4WNUZd_rpsaoFICEkmu6-lSeLsPrghPiw3uUF-1fzO_L79bo7NfdD2fxyDJ5CzVkDRm2vES3uTsjgOsbssVVonY99gSn396GhB8ilNJsYeSe9TYk4jO0rUl-fuZS2oF5mIwiNSyysbWG1lbQV8D3emIosJJeUETCWKcGcRa8-RGyVB0VtLe0fO9x81Ds-jdo0APAQjiEW__bIAG_l9EYaNAfEMdLYxV1sKnkl0dsTHsXjK0NMrg2wDfkXICL21UoH2eT0hCwnvbNealisz9SnoamGH0geN03BdWZaUMt5_dEK1fflna0Vh11Lljon8UZ20PcXuhzS6p2uWdwYXNsm_9Rn9hSS9XjRH4NP0cyp0S3GERJniiW64YrGOr5lRUx30y1se8Z2PswRlb8hk8AW3mtWBppWwdY2oeMGSvf4KTbSaApW44GSUR_0p4fqwPHJKWxwEWYm0H5", "id": "rs_09668b18fba65115016a118a822ab881918bd36f58dc4b1b2a", "summary": []}], "tool_calls": [{"id": "call_YzLeLT4e4ULMRbBE9irXs8hF", "call_id": "call_YzLeLT4e4ULMRbBE9irXs8hF", "response_item_id": "fc_09668b18fba65115016a118a829b608191b101a9155993ddb0", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"git status --short\",\"timeout\":60,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}"}}], "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \"M .gitignore\\n M autoshorts/asset_plan.py\\n M autoshorts/mechanism_pipeline.py\\n M data/asset_plans/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.json\\n M data/free_production_jobs/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.json\\n M data/mechanism_shot_plans/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.md\\n M data/render_manifests/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.json\\n M tests/test_free_production_jobs.py\\n M tests/test_mechanism_pipeline.py\\n?? autoshorts/local_motion_renderer.py\\n?? autoshorts/review_package.py\\n?? data/telegram_reviews/\\n?? scripts/generate_telegram_review_packages.py\\n?? scripts/render_free_local_motion.py\\n?? tests/test_local_motion_renderer.py\\n?? tests/test_review_package.py\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_YzLeLT4e4ULMRbBE9irXs8hF", "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "assistant", "content": "", "reasoning": "**Updating skills for workflow**\n\nI see there's an untracked review that needs attention, and I might need to update my skills. We recently discovered a free local renderer workflow, which could be complex. I think I should patch the skill related to this. The social-media skill might need an update as well, but it's generally applicable. I wonder if I should note anything specific about implementation quality. However, I notice the user didn't ask for this, so I'll focus on making sure the skill is complete and patching it accordingly.", "finish_reason": "tool_calls", "reasoning_content": "**Updating skills for workflow**\n\nI see there's an untracked review that needs attention, and I might need to update my skills. We recently discovered a free local renderer workflow, which could be complex. I think I should patch the skill related to this. The social-media skill might need an update as well, but it's generally applicable. I wonder if I should note anything specific about implementation quality. However, I notice the user didn't ask for this, so I'll focus on making sure the skill is complete and patching it accordingly.", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqEYqKg5RDszaOeE-q7tnVP0zY3Z8X1BfmPtbKDW8bNly4BDZ3AxJ8BXcB4wcGYXuGQFkK5MfluMLetM1fwkAhudzjqc1mOPvOqitcJh2CwYZK-z0OAoUDYOh8tRWLBpGrpS6IiBReIRyOoXqBeYfzgPkmkhteyT-kccXGiYwOeMn0U7Q1-ojyqufWpHkguwMfSO2FYJ42ljzolboERp4bONXZduvhEaWJMlwkA2hdDoph1TESSxVfUgx_FSry9UVBRfX1n7cvkQX8rCR4HhqVbdLKrPDlSoGDdUiIjTcKA-r_kbWXoNPq3xufj3pMlOd-VFZvGjqh6G5H4Niw1Mx0YRW2saGQAijEi4Y0pxyoruYqHIHXztZ5tVHRKoJlhOGNXRE-4Xy23DPipNliL5Es1-w_ixEFwxQe89cqC3mHy3R4cjrvLPBYe9TPuM1WyxyGulrktRFrKGJNtOtCLD1ATjGGTc9NXKzbGBR37A8YdDE9g89cQSOmcsVVi5mPrIeRsEXf7FAtva0hV-o6-Q-A_wJEdtGxPN1TfdD8nyp8Z4DniqBLBJTHQevyEo0r2BUp2yCbbmy8A-5Htuo35cp0Ff9n2DthkJOycJu-IsHSgO9BzPcq6v4GpbW6uipZja50tsQxpVm5xoVWcoWzGuCiEKFFnsL83yNv1RBovntQ3Hi3nmk9ouIuWmA1fDFzjimTRjzcy1p3eaDrR6nJvJanCkyPrVzXwVFj5IDHQYC22vkq1E_HggjTr6DuDtfzdn9v_wtDAYxP7CGL_EuxRoUoSGQhxE7WpPRIaobZQFKW9A4sAhhDpOBkiGU9zYACrErggRbxfiPo5pAP1QpKgXneUCnh4A9pnDYv8GdkGpoqxRsFzA8S9nOUTLBF7vTJWMdZDz953u5fHvAIZUutTLSn0s9YfSXbMAmgWrE4Sg2GJKync_sffPbBV5q1r4f_4_jdZTV3SnrusQg0EaSz7eBzwPxKmiCbIhgQEiBaeR6NiF6CuBldbCt5HvTU6mJsgMTwycNFcorVypfKvr6jOH4poDJ7GoyldxUmlLMG3G9LGeepb0ymSUYm9cwsFui9VlJhz1Qh2KxVrYwIVotCzdVxPx6dMznIYeuZSsLXJ7tG1o-e1hxomq83lsRKf0dlwUWnRVeN64ze1XUKxM5GsLhrGI4MUhdFagthlDdLl4g4HMrJhhBb6FVsQ9CGzsIlAP3a6q27uR1HQz3ZOBlcMl03wIfZK4vRfZs2pQkdPC4w8o193dblGLb3R61mZqG5WC-cHCwkxkzOcKPsBSZ1BARo-6_mf35fW5K0JwdOlag42iBeJi2HOBdPfGt6nQzsKcHGosB2zcaOTgFnCmALiNb6rWBnMOkAFuS7wBQo8OGfYodLv49L_yw53-oaJzPfKnnvutgY1Y5W-w9ttr3ymLQk-y1dG-Ly3AmFPyqc12NqNUntYFc-wrOhPCai01GDl8T_cHTmjybBdSh6OKii8qIqQ4dvYqz-HXJvUDNb18BVSF9Sx_cSInR27TTEhI16NkJGKNq7ifgHKncoPDXPR-LEHOlOYvad_eJ5pLkEGQ5h6dVjhsmRhge5YLfDkb9fzMzF3GWTewx7XkhvhdYVLDuC4-o-1FAvtz3Om803brjdQNPGUVhIFklYOTcAQos9bhKd-0NVbQZ9wnfpqUmV9LqeQ6a0ytDEsbZYCSo1Y9KCVLBxmrU=", "id": "rs_0f5c877e4eeae650016a118a870330819193480736f9849282", "summary": [{"type": "summary_text", "text": "**Updating skills for workflow**\n\nI see there's an untracked review that needs attention, and I might need to update my skills. We recently discovered a free local renderer workflow, which could be complex. I think I should patch the skill related to this. The social-media skill might need an update as well, but it's generally applicable. I wonder if I should note anything specific about implementation quality. However, I notice the user didn't ask for this, so I'll focus on making sure the skill is complete and patching it accordingly."}]}], "tool_calls": [{"id": "call_UXjlZZR9ozHQAVQD8eYUcX1t", "call_id": "call_UXjlZZR9ozHQAVQD8eYUcX1t", "response_item_id": "fc_0f5c877e4eeae650016a118a8a78f4819189683659c27bd017", "type": "function", "function": {"name": "skill_manage", "arguments": "{\"action\":\"patch\",\"name\":\"social-media-shorts-growth-engine\",\"old_string\":\"Rendering and external API calls can be integration-tested separately.\\n\\n## Pitfalls\",\"new_string\":\"Rendering and external API calls can be integration-tested separately.\\n\\nFor this AutoShortsBot/Retention-Studio workflow, prefer a free-first renderer path before any paid video provider: `free_production_jobs → local_motion_renderer → FFmpeg MP4`. The local renderer should use Pillow/FFmpeg procedural motion, mechanism layers, kinetic captions, and generated metadata; preserve exact scene durations from render manifests, exclude text-only LLM refinement jobs from rendering, and keep generated local renders out of git (`data/local_motion_renders/`). NVIDIA/build.nvidia.com LLMs are optional text-refinement helpers only, not video generation.\\n\\n## Pitfalls\"}"}}], "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "tool", "name": "skill_manage", "content": "{\"success\": true, \"message\": \"Patched SKILL.md in skill 'social-media-shorts-growth-engine' (1 replacement).\"}", "tool_call_id": "call_UXjlZZR9ozHQAVQD8eYUcX1t", "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqEYqQZFtXbS7BOtn31aF5laPUejzcg_Zub8vQFS3jNbeRGVleiMdwtUykrIXDUYQGQyBSmmvUzeko3ePaDJyQBq5beyDK60uBit4qVmbKx2CAuPY2zOBCHGmKO3XS_D0220kaNirwtsGI4_FRwTvwu96Dm6Oezmi5GIvGkCCT3NHnos54vYGGkPBECslgvwIn2yYC4SdqBdoXfRUj6WBK09lsPDWHGB1jYeFDahAou2ytpRsQadU5qMHsq-vhvOgRlpOeW_Am3o7Ce7niE1UstKoKVgs8EP8xa-MDKq_NhrND_ymh-Ri5Ppo1qBjvPEaXh6egid_AfciuQMR8jkYeXhnHVQELCMgtTxKaQJkS2svv_pk4Ps-eJX4TabJMv3M9rAwNeYOtwGm9wHb0o2WDENE967fAChNIKhHbvikXL6I3IP8AaFFRBT0NlhtktYR1eu1bdA-eH4V9MiG3occIQ8G_slhmQ2o7wqio7lzh12sixziRkET7i4HN9_wem29289tCOMr2g0t4mxLetOTi1LpxnmJMw8dEBEqqXP36nVxbF6azLP4WJnT3JnqnTf3RUy7hJaHVmKA4OdSpEEorsuPcy_af80_ibBAyGu5krzeaSWJOkrqFk-3wn5fkQKAnysST6WEGkSlLNKPcvVsrJLUa9nn8PTgv44-SXMqKeiQTUNF2A38X64HUUuoAxEEjYnYpIBLQulspEK3ShQcbMp-TAcz93xxlGGUYCBFm2paudN5GavRMod4adKNOaqxlWSHzqegVm3GQPVlItkAulerqHlT7YMdOM6M7eWB3izLLu-vLNu8DM_jxqEbdtMncs7SaCR13yFBp0Ra8l4K24ay-uQtkfOqUbC_sa9GL09VHQOG_I9UNyRtTK1QDlXuTBpYC8deH6sQBLCGyhYYmsC0X6CMMpNq-FVW5W0LaztKjAGuoy_18kOJBC8QpX7yT_MA9b9ESvZwUEuGheEA6M6iqbktaT4I9eYwnCFNZuE6YmDZUU0VjBXGtIWZGQgk1dse-0rveOE6p_Wd6_5D6yNCPzQ==", "id": "rs_047ba9792511a92f016a118a8f4134819183e3c6fd6778ffc1", "summary": []}], "tool_calls": [{"id": "call_58Rhvi7JGrCECM6pCnXwSMWl", "call_id": "call_58Rhvi7JGrCECM6pCnXwSMWl", "response_item_id": "fc_047ba9792511a92f016a118a943fc48191bbacfc52c4b8d3c0", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"pytest tests/ -q\",\"timeout\":300,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}"}}, {"id": "call_uluMuRvirwvE9qgGSorTWD5o", "call_id": "call_uluMuRvirwvE9qgGSorTWD5o", "response_item_id": "fc_047ba9792511a92f016a118a943fdc8191981913e7b0f25daa", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"git diff --stat && git diff -- . ':!data/local_motion_renders' | grep -iE 'api[_-]?key|token|secret|password|credential' || true\",\"timeout\":60,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}"}}, {"id": "call_VuPJgVu3kwP4DsYPUfBLONOS", "call_id": "call_VuPJgVu3kwP4DsYPUfBLONOS", "response_item_id": "fc_047ba9792511a92f016a118a943ff081919beb8a877339ab1c", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"ffprobe -v error -select_streams v:0 -show_entries stream=width,height,avg_frame_rate,duration -of default=nw=1:nk=1 data/local_motion_renders/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.mp4\",\"timeout\":60,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}"}}], "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \"...................................................                      [100%]\\n51 passed in 3.32s\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_58Rhvi7JGrCECM6pCnXwSMWl", "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \".gitignore                                                 |  1 +\\n autoshorts/asset_plan.py                                   |  7 +++++--\\n autoshorts/mechanism_pipeline.py                           |  5 ++++-\\n ...ey-systems-warum-ein-billiges-auto-teuer-sein-kann.json | 14 +++++++-------\\n ...ey-systems-warum-ein-billiges-auto-teuer-sein-kann.json | 14 +++++++-------\\n ...oney-systems-warum-ein-billiges-auto-teuer-sein-kann.md |  4 ++--\\n ...ey-systems-warum-ein-billiges-auto-teuer-sein-kann.json |  4 ++--\\n tests/test_free_production_jobs.py                         |  7 +++++++\\n tests/test_mechanism_pipeline.py                           |  8 ++++++++\\n 9 files changed, 43 insertions(+), 21 deletions(-)\\n       \\\"requires_api_key\\\": false,\\n       \\\"requires_api_key\\\": false,\\n       \\\"requires_api_key\\\": false,\\n       \\\"requires_api_key\\\": false,\\n       \\\"requires_api_key\\\": false,\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_uluMuRvirwvE9qgGSorTWD5o", "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \"540\\n960\\n15/1\\n34.000000\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_VuPJgVu3kwP4DsYPUfBLONOS", "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqEYqgZwl6Ny-i9tEja4-20wH9ToFw1wtMFsP3n60dSizGCvaltwUmJIXXuuIFZbTen9E7AzeZFU1jf3n6tOLWwUhDz4mGabaxkfYfO9NVlwF6vbrCmBqurnT4s4f3alTfhpGnZhLDBZu9NXZyd7Kk_tLxO_G0vq8Wr8wqdmIwIGzjDJbde2V5ODGorw3O9Lm-rJikdKsvOB8yTCeqfy4t7HMLPmeJNm6ZyzLMo4_r1pSmfmwUZudGNZtAhhsvgBCucvbuc92hrq2JUoeGBrlkXbGb9ZHb-KGF7azcPFmMMOQv-vKGtNDdKtPOjmZLqu8s0BXkP6olo6cBJDkMKcrYA92AkAob7uTCaFFbN_llDSdFOb470-u15vg-wPbUlr-EBU4eAJvbsFvRDbAUarq1TOcnVQtL4T2efnTK-At7CCJVKhf9tPn0Cwydvt-P6vwv0Pzhgju_5ZhdpFwaem4Mah4h7fQG4vDeq94oVSSyTtM_wMozonAjxSCgX9DudOrv3DyKXsrRCpTr1asJphEPDN95BzaUSeBHF3ys0uajjmcQ1DIav-tpbX_hhxZka6cus7sWe-wI9KNB2Ek0u4XRQoaiF3uxqycv-vVN6w3DQFUHYEyF5pmzwuqqNRHpg1_5HxIj57Xosa2Vv1uTWin092lHEpqxH7-RX2pp-JVeVEFOoxGQnRl-8n8aUcoGHRujWJjidgPYf5s7y3d8LG4-9qU2gJaKhShH7S5tbwk2PbqDoiaPrlzZp9PCW-JcNlRsBxWyzldkHihudDH6nrCUtSjfCvcObqCYQgyIjmKnB_5StqEkPEVgLzeT1FuMOlhuCrC6lDAcrGTXVuq_UEg8kvw67wFaD77F_xKPpTvurs62jpZoHUBUS8XEN6OXX1B8O5w8LAz3XsXBXlhGOKMOzT98yFa5WDY0qdFHu4bwkd3Xnf3j8CyW0ww9e_vw3cRgwuecFvR-QGTVwAXCKvFuBaNRc0Ddh8oTwQQzVjm1CyJ6_HRc0iWjQjlizvpxbhH76EI-IHIYsgSdoJSTVnuol9KX0VIp9FcTPh2d9DyV3-4dJeeZfRGdsbEKrh4bTCl2rkoLMvVXIadnEoOneqgztpgCtx8LglxFvAnpX-mClRD96P-2sAcDC_2qFBNXV0Kvh5owtB9-Lj9tJvyR58bNCTKoLpUGDo9ZMK-Ii0QDlVSkzn6Ojefy-KGSs4wzNdeZqZqhV80e3Yy3to82DJKZM3uLt38h2XVJ0MuNjbt28Vrg87t6-ijnq7shlbQMLT-sAxRfaa_QNFq7e88RmDBfZyQokCBTxp-iAZWFG9wsLJ7p6sAcSAvYFB-E4wZcYefuEaYvx4qfMoGLa4J3-8q5lgUb5JzKlJDJoaF5W6oPHmqleiIf9bieKmMaxIkFk6uXhFWAN67li3d5lHY7xfoXVl8GO2-_4e7SDfQTP2vUVwQOotqw8XgcnM9ZJlMtVu2Lq2dUMCp0VNCYbeCYSP1QuzQ5rFjGR_weUT5dIOoWiOm8DBdTfVSaxj3W5LWGy2mtztPqjFbmXnAiqldI3coqJLWKkED_BgLp4w4pQkzSvLbuGcUPO7pLOFcVCDWYMHBs_C_G9SOj4SMgCxRw7uOYeZD5X1-T8bpz16aQXwY3pLew2oQ=", "id": "rs_007475096435aa57016a118a9f0e8c819195f8030aa3f289ac", "summary": []}], "tool_calls": [{"id": "call_HfZ2Y68F6t80J3u8biGLN3ws", "call_id": "call_HfZ2Y68F6t80J3u8biGLN3ws", "response_item_id": "fc_007475096435aa57016a118aa0b9b88191bfe2b7d3ad300157", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"git add .gitignore autoshorts/asset_plan.py autoshorts/mechanism_pipeline.py autoshorts/local_motion_renderer.py scripts/render_free_local_motion.py tests/test_free_production_jobs.py tests/test_mechanism_pipeline.py tests/test_local_motion_renderer.py data/asset_plans/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.json data/free_production_jobs/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.json data/mechanism_shot_plans/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.md data/render_manifests/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.json && git status --short\",\"timeout\":60,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}"}}], "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \"M  .gitignore\\nM  autoshorts/asset_plan.py\\nA  autoshorts/local_motion_renderer.py\\nM  autoshorts/mechanism_pipeline.py\\nM  data/asset_plans/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.json\\nM  data/free_production_jobs/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.json\\nM  data/mechanism_shot_plans/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.md\\nM  data/render_manifests/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.json\\nA  scripts/render_free_local_motion.py\\nM  tests/test_free_production_jobs.py\\nA  tests/test_local_motion_renderer.py\\nM  tests/test_mechanism_pipeline.py\\n?? autoshorts/review_package.py\\n?? data/telegram_reviews/\\n?? scripts/generate_telegram_review_packages.py\\n?? tests/test_review_package.py\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_HfZ2Y68F6t80J3u8biGLN3ws", "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqEYqpLb58JV8LjxQoTPtMr6QauN9PVkpFCC2tr0OSRUKdCUanc5MBKDIO1yZnNYrl7gSPS7QiJsB7GBCw-VfcqX736K_SiGZ9Z9hCxK1ROQc1lkk05TGGlKEwO16YrhENVPHoOlemb6auyCqucC-aPlxZXKOYTLYs3Lq5CJyVY-6DGYM8ym4B_jwPGojEpWVsbPZ9_XITkcfSFy5KVn4LwmadNFFvzQ1N8yboQHSh8P8SpicPqqhTF6R6wkQkusXyPyx5NMfC17UKgTxoqI4k-fjr9cl6GFfmdYsLH13SCavclbgoNsMlNgUOBMXQCykjFeY6ESOkVJeRtz-zv-qESukVC7JUYb9pmMMi0xm8516Uzvc1HuFmgiMnWGqDYNMoixPUnEsx1i9Zn6Yo93MUDqzCRPQsvBWKG52pY4jXWw-JXLmJ9IuSx2V-qVhFCDrzHiV2G2vbTZ0BhqMVuVwakrdk-suQuSmatgMTxcZtWsNfMxbSdnAqC7_-tpE3KwOoUPJH_GBJgXMP159YFlGx0RgGFWs8JAuO-U7eQGb6G1PMcbCyEuXym3uFcV61coICjz8PAnlf6eh0mhJOzvWGc8A2gkgVCNXg_MWQaATb9hA1ivzXGyjJ9UzyPRkE9RSjfTOSjpj6DPRKdIizYE5msn1juiUwoQ5RRFP3XZKY3Or4muNp6_6tkduIIjqmaM16Y5pUIT8upoIZjmmGhCQRjMQTAAjMVsIuemTP3uel6vemnVGgBAo8yD58-vOBm3kuzFWDXanOY-0SveZW5pmgOLQNASqkvxdspa5g6jMHgrnUZkcq7IKi9fbj_q2kXn1DfcWDs0zON8EkmGceJEHVTyGbBtmlx-sMKGjRG8vxIyDA0vmKIVna_AxN1LYaQVsPXL6Wt3jBPm3NrSlF5J82QXDN6js4PPwjweCe4v3G0yr3TR01n5l3hp12f5nslX_qZJL1IjJEgqCw4gZyr6tmCJcRNb1tiGxZG9USYhDnrmddPGw=", "id": "rs_024279a308100a8f016a118aa869508191a980c5a4a8f3cb6d", "summary": []}], "tool_calls": [{"id": "call_lKBostwnOkO6kCOwSvIHhQgW", "call_id": "call_lKBostwnOkO6kCOwSvIHhQgW", "response_item_id": "fc_024279a308100a8f016a118aa9cb888191a3a58601aeae7ddd", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"git diff --cached --check && git diff --cached | grep -iE 'api[_-]?key|token|secret|password|credential' || true && git commit -m \\\"feat: add free local motion renderer\\\" && git push\",\"timeout\":300,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}"}}], "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \"\\\"requires_api_key\\\": false,\\n       \\\"requires_api_key\\\": false,\\n       \\\"requires_api_key\\\": false,\\n       \\\"requires_api_key\\\": false,\\n       \\\"requires_api_key\\\": false,\\n[feat/initial-growth-engine ff5df62] feat: add free local motion renderer\\n 12 files changed, 518 insertions(+), 21 deletions(-)\\n create mode 100644 autoshorts/local_motion_renderer.py\\n create mode 100644 scripts/render_free_local_motion.py\\n create mode 100644 tests/test_local_motion_renderer.py\\nfatal: could not read Username for 'https://github.com': Kein passendes Gerät bzw. keine passende Adresse gefunden\", \"exit_code\": 128, \"error\": null}", "tool_call_id": "call_lKBostwnOkO6kCOwSvIHhQgW", "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqEYqw99Oq3jt61cjR6e3mOGqB2TjzdTCF6nTlaw_rIQ2o4YqWRMZVlRHZH3-E4G9dSa7FKIO77DfGNKO0RFUNGUuj0qo5iG9lRzUKvtPz4s_Fov7xOEB2TZWX5OVGDnvgCTYzAnxcu-fOszy_-kJJ-9poo7m6uq_0r09BtACLHLqRZot-JkgVvBacFlSdpm4nQ6ACvHeNrg0i8acN1oIuQk37WBnZHxcAn0Wbh056S2WNFCbSInAAHUzW_3zSBHztJJM4Xk4PawICVUAP2Inwvf_bt_elOdvMcYTgkOpHqha5ctRnoHUtP5fpyTpOpJUBMFv5_DcHfKKxV6Jdu1OpKNlvw_2BBSvLkhbN-u_Q6B349FQL38sm3T9lcfj4uZsXUndwEURme1uKvMUgvqnpuvFBTk2d3DYydoEZLI_YR1fqgk974CDPcgMFw36V2Sk6MFvHm9R3oYU3LyaJtQGWwIYjVaJSFUHyrDi0zAgDIDmrP8zJ6M1iIKsGhs4RrY4jm6yETriBSWxKkOaGFiT060ZMnIFs96OsQgsHIAMQkR7TIuTkys1OeXMk4X0HODhon3Ax4QtSLWjG-JBl73a14dzgnGS9rFHYdScsP0u-zcyt1YpLa1Y5Wxfs0ubBXfYW5EZtf7LbUpNkDnwVatCFSIageSQQP9f4oZF3qyNkX2vwRDQdo_ylLyvs5iyfDLzFBIq_VK_Lq3iNPENWxzl2uEV6b7u_fMKUtdgta8mq0rvY7--KdmeIcAy4f4E_2ZkLe3wrlUKwwffRCO-MgO5B8rs08g8r_PDCe5XbJ_jXMiNskzEJZuBL20wYmVC4wblXUewL_4_FvL5IVsoZPKBmbxVtpcu6WwduHH7xfiQS8K6iUnlwW8De7TAv6Xfs_fbR00JkmldOMF-VtT-9m4uKM81qlaoZh4InfM2sedtetwv2GQinCfvxSUZcU3o1UuOpMqQ3oxGEISaJsIYuM-JUv_6Ny8pa67BFYcIM0OJ6lOyqfYYFwY7C14ZpaxBAxjmoHXaP9Bob5Ht3xBpaGlNB24IpDxs_e6RpLqu_Pvx667T5qOmgwQBK3Gs6Pz3eE7jXaFgXKEJhG3e0JRuH9HixMCBtRROfvhRsM2SJ4tbcV7xjfZWAPIaFPiONJWqNgE74c30RI2mImQkO0qBTWm7ds1U-oAOdoJKQgXYbinmAR8jM-K7OiuQgN6khlmXOWQ20-BbIgJVusbwZ-ucFkQ_2IZDYfyQrD3XGsgISTkSY74FEKtGxVBG_V3v2OIIa-asRO1DKg_cMK4Q0GC8s3Rj3Uro5V8CMtKvSFmdTx18S9R4UwlTgPDAuqW-ZqWmJkxHUO3Wf", "id": "rs_0ace8ab644415577016a118aae20c481918f73e4a06482bf9f", "summary": []}], "tool_calls": [{"id": "call_LUzwjyZlAqQFaet2IwxbJDZc", "call_id": "call_LUzwjyZlAqQFaet2IwxbJDZc", "response_item_id": "fc_0ace8ab644415577016a118ab013ac8191bda648d03da654cd", "type": "function", "function": {"name": "skill_view", "arguments": "{\"name\":\"github-auth\"}"}}], "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "tool", "name": "skill_view", "content": "{\"success\": true, \"name\": \"github-auth\", \"description\": \"GitHub auth setup: HTTPS tokens, SSH keys, gh CLI login.\", \"tags\": [\"GitHub\", \"Authentication\", \"Git\", \"gh-cli\", \"SSH\", \"Setup\"], \"related_skills\": [\"github-pr-workflow\", \"github-code-review\", \"github-issues\", \"github-repo-management\"], \"content\": \"---\\nname: github-auth\\ndescription: \\\"GitHub auth setup: HTTPS tokens, SSH keys, gh CLI login.\\\"\\nversion: 1.1.0\\nauthor: Hermes Agent\\nlicense: MIT\\nmetadata:\\n  hermes:\\n    tags: [GitHub, Authentication, Git, gh-cli, SSH, Setup]\\n    related_skills: [github-pr-workflow, github-code-review, github-issues, github-repo-management]\\n---\\n\\n# GitHub Authentication Setup\\n\\nThis skill sets up authentication so the agent can work with GitHub repositories, PRs, issues, and CI. It covers two paths:\\n\\n- **`git` (always available)** — uses HTTPS personal access tokens or SSH keys\\n- **`gh` CLI (if installed)** — richer GitHub API access with a simpler auth flow\\n\\n## Detection Flow\\n\\nWhen a user asks you to work with GitHub, run this check first:\\n\\n```bash\\n# Check what's available\\ngit --version\\ngh --version 2>/dev/null || echo \\\"gh not installed\\\"\\n\\n# Check if already authenticated\\ngh auth status 2>/dev/null || echo \\\"gh not authenticated\\\"\\ngit config --global credential.helper 2>/dev/null || echo \\\"no git credential helper\\\"\\n```\\n\\n**Decision tree:**\\n1. If `gh auth status` shows authenticated → you're good, use `gh` for everything\\n2. If `gh` is installed but not authenticated → use \\\"gh auth\\\" method below\\n3. If `gh` is not installed → use \\\"git-only\\\" method below (no sudo needed)\\n\\n---\\n\\n## Method 1: Git-Only Authentication (No gh, No sudo)\\n\\nThis works on any machine with `git` installed. No root access needed.\\n\\n### Option A: HTTPS with Personal Access Token (Recommended)\\n\\nThis is the most portable method — works everywhere, no SSH config needed.\\n\\n**Step 1: Create a personal access token**\\n\\nTell the user to go to: **https://github.com/settings/tokens**\\n\\n- Click \\\"Generate new token (classic)\\\"\\n- Give it a name like \\\"hermes-agent\\\"\\n- Select scopes:\\n  - `repo` (full repository access — read, write, push, PRs)\\n  - `workflow` (trigger and manage GitHub Actions)\\n  - `read:org` (if working with organization repos)\\n- Set expiration (90 days is a good default)\\n- Copy the token — it won't be shown again\\n\\n**Step 2: Configure git to store the token**\\n\\n```bash\\n# Set up the credential helper to cache credentials\\n# \\\"store\\\" saves to ~/.git-credentials in plaintext (simple, persistent)\\ngit config --global credential.helper store\\n\\n# Now do a test operation that triggers auth — git will prompt for credentials\\n# Username: <their-github-username>\\n# Password: <paste the personal access token, NOT their GitHub password>\\ngit ls-remote https://github.com/<their-username>/<any-repo>.git\\n```\\n\\nAfter entering credentials once, they're saved and reused for all future operations.\\n\\n**Alternative: cache helper (credentials expire from memory)**\\n\\n```bash\\n# Cache in memory for 8 hours (28800 seconds) instead of saving to disk\\ngit config --global credential.helper 'cache --timeout=28800'\\n```\\n\\n**Alternative: set the token directly in the remote URL (per-repo)**\\n\\n```bash\\n# Embed token in the remote URL (avoids credential prompts entirely)\\ngit remote set-url origin https://<username>:<token>@github.com/<owner>/<repo>.git\\n```\\n\\n**Alternative: use a token-bearing URL for one command without persisting it**\\n\\nFor sensitive repos, avoid `git remote set-url` because it can leave token-bearing URLs in local config. Build the URL from an environment/local shell variable, run `fetch`/`push`, then `unset` it:\\n\\n```bash\\nTOKEN=\\\"<token read from a secure secret store>\\\"\\nAUTH_URL=\\\"https://${TOKEN}@github.com/<owner>/<repo>.git\\\"\\ngit fetch \\\"$AUTH_URL\\\" main:refs/remotes/origin/main --quiet\\n# Verify remote did not advance before pushing.\\nif [ \\\"$(git rev-parse origin/main)\\\" != \\\"$(git merge-base HEAD origin/main)\\\" ]; then\\n  unset TOKEN AUTH_URL\\n  echo \\\"Remote has new commits; stop before merge/rebase\\\"\\n  exit 3\\nfi\\ngit push \\\"$AUTH_URL\\\" main:main\\n# If the normal origin URL is not authenticated, verify with the same temporary URL.\\nREMOTE=$(git ls-remote \\\"$AUTH_URL\\\" refs/heads/main | awk '{print $1}')\\nLOCAL=$(git rev-parse HEAD)\\ntest \\\"$LOCAL\\\" = \\\"$REMOTE\\\"\\nunset TOKEN AUTH_URL\\n```\\n\\nDo not echo `$AUTH_URL`, do not set it as the remote, and do not include the token literally in command text or docs. A push can succeed through a temporary authenticated URL while a follow-up `git ls-remote origin ...` still fails due to missing credentials; verify the remote hash through the authenticated URL before unsetting it.\\n\\n**⚠️ Pitfall: GitHub PAT (Personal Access Token) vs Classic Token**\\n\\nGitHub's newer \\\"Fine-grained PAT\\\" and \\\"OAuth PAT\\\" formats (`github_pat_...`) do NOT work as passwords in `git push`. They must be embedded directly in the URL:\\n\\n```bash\\n# WRONG: Password auth is disabled for PAT\\ngit remote set-url origin https://<username>:<PAT>@github.com/<owner>/<repo>.git\\n# (This will fail with \\\"Password authentication is not supported\\\")\\n\\n# CORRECT: Embed PAT in URL\\ngit remote set-url origin https://github_pat_11xxx...@github.com/<owner>/<repo>.git\\n```\\n\\n**⚠️ Pitfall: Divergent branches when remote has initial commit**\\n\\nWhen a remote repo already has content (e.g. an initial commit) and your local has a different history, `git push` will fail with \\\"non-fast-forward\\\" or \\\"rejected\\\". Resolution:\\n\\n```bash\\n# 1. Fetch to see remote state\\ngit fetch origin\\n\\n# 2. Cherry-pick local commits onto remote (keeps both histories)\\ngit cherry-pick <local-commit-hash>\\n\\n# 3. If merge conflict, keep your version\\ngit checkout --ours .\\ngit add .\\ngit cherry-pick --continue --no-edit\\n\\n# 4. Then push\\ngit push -u origin main\\n```\\n\\nAlternative: `git pull --allow-unrelated-histories` then resolve conflicts.\\n\\n**Step 3: Configure git identity**\\n\\n```bash\\n# Required for commits — set name and email\\ngit config --global user.name \\\"Their Name\\\"\\ngit config --global user.email \\\"their-email@example.com\\\"\\n```\\n\\n**Step 4: Verify**\\n\\n```bash\\n# Test push access (this should work without any prompts now)\\ngit ls-remote https://github.com/<their-username>/<any-repo>.git\\n\\n# Verify identity\\ngit config --global user.name\\ngit config --global user.email\\n```\\n\\n### Option B: SSH Key Authentication\\n\\nGood for users who prefer SSH or already have keys set up.\\n\\n**Step 1: Check for existing SSH keys**\\n\\n```bash\\nls -la ~/.ssh/id_*.pub 2>/dev/null || echo \\\"No SSH keys found\\\"\\n```\\n\\n**Step 2: Generate a key if needed**\\n\\n```bash\\n# Generate an ed25519 key (modern, secure, fast)\\nssh-keygen -t ed25519 -C \\\"their-email@example.com\\\" -f ~/.ssh/id_ed25519 -N \\\"\\\"\\n\\n# Display the public key for them to add to GitHub\\ncat ~/.ssh/id_ed25519.pub\\n```\\n\\nTell the user to add the public key at: **https://github.com/settings/keys**\\n- Click \\\"New SSH key\\\"\\n- Paste the public key content\\n- Give it a title like \\\"hermes-agent-<machine-name>\\\"\\n\\n**Step 3: Test the connection**\\n\\n```bash\\nssh -T git@github.com\\n# Expected: \\\"Hi <username>! You've successfully authenticated...\\\"\\n```\\n\\n**Step 4: Configure git to use SSH for GitHub**\\n\\n```bash\\n# Rewrite HTTPS GitHub URLs to SSH automatically\\ngit config --global url.\\\"git@github.com:\\\".insteadOf \\\"https://github.com/\\\"\\n```\\n\\n**Step 5: Configure git identity**\\n\\n```bash\\ngit config --global user.name \\\"Their Name\\\"\\ngit config --global user.email \\\"their-email@example.com\\\"\\n```\\n\\n---\\n\\n## Method 2: gh CLI Authentication\\n\\nIf `gh` is installed, it handles both API access and git credentials in one step.\\n\\n### Interactive Browser Login (Desktop)\\n\\n```bash\\ngh auth login\\n# Select: GitHub.com\\n# Select: HTTPS\\n# Authenticate via browser\\n```\\n\\n### Token-Based Login (Headless / SSH Servers)\\n\\n```bash\\necho \\\"<THEIR_TOKEN>\\\" | gh auth login --with-token\\n\\n# Set up git credentials through gh\\ngh auth setup-git\\n```\\n\\n### Verify\\n\\n```bash\\ngh auth status\\n```\\n\\n---\\n\\n## Using the GitHub API Without gh\\n\\nWhen `gh` is not available, you can still access the full GitHub API using `curl` with a personal access token. This is how the other GitHub skills implement their fallbacks.\\n\\n### Setting the Token for API Calls\\n\\n```bash\\n# Option 1: Export as env var (preferred — keeps it out of commands)\\nexport GITHUB_TOKEN=\\\"<token>\\\"\\n\\n# Then use in curl calls:\\ncurl -s -H \\\"Authorization: token $GITHUB_TOKEN\\\" \\\\\\n  https://api.github.com/user\\n```\\n\\n### Extracting the Token from Git Credentials\\n\\nIf git credentials are already configured (via credential.helper store), the token can be extracted:\\n\\n```bash\\n# Read from git credential store\\ngrep \\\"github.com\\\" ~/.git-credentials 2>/dev/null | head -1 | sed 's|https://[^:]*:\\\\([^@]*\\\\)@.*|\\\\1|'\\n```\\n\\n### Helper: Detect Auth Method\\n\\nUse this pattern at the start of any GitHub workflow:\\n\\n```bash\\n# Try gh first, fall back to git + curl\\nif command -v gh >/dev/null 2>/dev/null && gh auth status >/dev/null 2>/dev/null; then\\n  echo \\\"AUTH_METHOD=gh\\\"\\nelif [ -n \\\"$GITHUB_TOKEN\\\" ]; then\\n  echo \\\"AUTH_METHOD=curl\\\"\\nelif [ -f ~/.hermes/.env ] && grep -q \\\"^GITHUB_TOKEN=\\\" ~/.hermes/.env; then\\n  export GITHUB_TOKEN=$(grep \\\"^GITHUB_TOKEN=\\\" ~/.hermes/.env | head -1 | cut -d= -f2 | tr -d '\\\\n\\\\r')\\n  echo \\\"AUTH_METHOD=curl\\\"\\nelif grep -q \\\"github.com\\\" ~/.git-credentials 2>/dev/null; then\\n  export GITHUB_TOKEN=$(grep \\\"github.com\\\" ~/.git-credentials | head -1 | sed 's|https://[^:]*:\\\\([^@]*\\\\)@.*|\\\\1|')\\n  echo \\\"AUTH_METHOD=curl\\\"\\nelse\\n  echo \\\"AUTH_METHOD=none\\\"\\n  echo \\\"Need to set up authentication first\\\"\\nfi\\n```\\n\\n---\\n\\n## Troubleshooting\\n\\n| Problem | Solution |\\n|---------|----------|\\n| `git push` asks for password | GitHub disabled password auth. Use a personal access token as the password, or switch to SSH |\\n| `remote: Permission to X denied` | Token may lack `repo` scope — regenerate with correct scopes |\\n| `fatal: Authentication failed` | Cached credentials may be stale — run `git credential reject` then re-authenticate |\\n| `ssh: connect to host github.com port 22: Connection refused` | Try SSH over HTTPS port: add `Host github.com` with `Port 443` and `Hostname ssh.github.com` to `~/.ssh/config` |\\n| Credentials not persisting | Check `git config --global credential.helper` — must be `store` or `cache` |\\n| Multiple GitHub accounts | Use SSH with different keys per host alias in `~/.ssh/config`, or per-repo credential URLs |\\n| `gh: command not found` + no sudo | Use git-only Method 1 above — no installation needed |\\n\", \"path\": \"github/github-auth/SKILL.md\", \"skill_dir\": \"/home/agent/.hermes/skills/github/github-auth\", \"linked_files\": {\"scripts\": [\"scripts/gh-env.sh\"]}, \"usage_hint\": \"To view linked files, call skill_view(name, file_path) where file_path is e.g. 'references/api.md' or 'assets/config.yaml'\", \"required_environment_variables\": [], \"required_commands\": [], \"missing_required_environment_variables\": [], \"missing_credential_files\": [], \"missing_required_commands\": [], \"setup_needed\": false, \"setup_skipped\": false, \"readiness_status\": \"available\", \"metadata\": {\"hermes\": {\"tags\": [\"GitHub\", \"Authentication\", \"Git\", \"gh-cli\", \"SSH\", \"Setup\"], \"related_skills\": [\"github-pr-workflow\", \"github-code-review\", \"github-issues\", \"github-repo-management\"]}}}", "tool_call_id": "call_LUzwjyZlAqQFaet2IwxbJDZc", "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_IGGjz2rzd4zN9beQEuRCEiJr", "call_id": "call_IGGjz2rzd4zN9beQEuRCEiJr", "response_item_id": "fc_0b933a621a780345016a118ab2d7d48191a60a4b90997b9078", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"git remote -v && gh auth status 2>/dev/null || true && git status --short\",\"timeout\":60,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}"}}], "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \"origin\\thttps://github.com/Gamexgit/AutoShortsBot.git (fetch)\\norigin\\thttps://github.com/Gamexgit/AutoShortsBot.git (push)\\n?? autoshorts/review_package.py\\n?? data/telegram_reviews/\\n?? scripts/generate_telegram_review_packages.py\\n?? tests/test_review_package.py\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_IGGjz2rzd4zN9beQEuRCEiJr", "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "assistant", "content": "", "reasoning": "**Checking commit status**\n\nAfter I make a commit, it looks like there’s only an untracked review that remains. I know I need to push my changes, but I also need to authenticate that process. I’m wondering if a token is available in my environment variables to facilitate this. It’s all about getting this push done smoothly without any hiccups. I’ll have to verify that token situation so I can proceed!", "finish_reason": "tool_calls", "reasoning_content": "**Checking commit status**\n\nAfter I make a commit, it looks like there’s only an untracked review that remains. I know I need to push my changes, but I also need to authenticate that process. I’m wondering if a token is available in my environment variables to facilitate this. It’s all about getting this push done smoothly without any hiccups. I’ll have to verify that token situation so I can proceed!", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqEYq4bXIkXQJevpDHk3_zq1E6Xm_SZPazvVSU3riSXBQ2gBtZIlKUajToybrsG1oPMAQxQwU1fb3d8P-mI4cu7PR5a2bp5NbXXv6ntufHY7ZTEavSc_9hs8qNLivK3TqSM-xCs1PirdVv8LkaX6B28glFre0DO_7R2RE9L6YUL1pOoKvWTPlJFizcKABZEz0Unw9AzTF5OSC1qBolkUS2-WT7NYwO2vnrqt7JplBeNpeuP8zWtFdRFMRifed_7f3dedaN9EPQeKoyWTSEiMsNgj5JhyAapS14c8URPLHR_xq_HlzUdA1Z3QJ0s6z5HH3mjTbp40uTwGovNbRideIhot7upXPe4WIcJ5QZxWYUXXQTGwvfHUuiGGR1gasTfHRskOKnwYmGeywMSfzdKlD46_vwdTq7C-HDWrg1IQzsqE2XBo74PvkJYkGloPuH5Ki6QWmM8QHFMNyinlhr0KBW2sTLQpE7yjJcNIzhzB6DMmf8B8QPx0S8lryey31XyD3cS05pfEIP4XKhlSxw3jI7LXXOFYTUbkfSV1QrojUBaOlREkuDyqDPRC2fvsZnEGq7TFXiCkU6jSUZB3FBEHb7F5xEFRde2hdarKUZiqb30UJeq50BGxQoJDdIh7twV59hFm6BADxI6f7KgSbmnx-f1gYphUalm2xEz05VGrsBjhfLyHfUKwLju3F_z5kXbOwoz0QoElDP5IDRuEP5lIV_hfCeOw5d2bFl2uXoIBB3VjKhImYQfCC0xJTS4HkgJIV79vHMDHmU54fy-RVk2K4ua655LX35dSnRdC8Gl65vgP66L2rE8kDeiyjAzl3-m9xRghP2lh-5ZV0L_Ser_6AdpiqQkol7v6J6Ak-sLKsufkb2sCAB2jT14w9MJ1ri8BBxdfudzQugfVrOER286iZsppxBaAl3k-Q-LNLuCqelZSHz0a0OIEsnlkBAD8-J-xnvil5mzV_9lv4oN11AJKrUTb46rnuHPc3OMqN0a9fDFTIs3yujCVscM59NPi3p1tLdnRy5WbDDizJEbZEl4TtdxtIfsQ==", "id": "rs_0107e2cad3bb6e1f016a118ab5e610819180be74d04549dccc", "summary": [{"type": "summary_text", "text": "**Checking commit status**\n\nAfter I make a commit, it looks like there’s only an untracked review that remains. I know I need to push my changes, but I also need to authenticate that process. I’m wondering if a token is available in my environment variables to facilitate this. It’s all about getting this push done smoothly without any hiccups. I’ll have to verify that token situation so I can proceed!"}]}], "tool_calls": [{"id": "call_LiECv6HhCVVLnOcmiLJHlVYE", "call_id": "call_LiECv6HhCVVLnOcmiLJHlVYE", "response_item_id": "fc_0107e2cad3bb6e1f016a118ab828948191ac93f132f5a543d8", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"python - <<'PY'\\nimport os\\nfor name in ['GITHUB_TOKEN','GH_TOKEN']:\\n    print(f'{name}=' + ('set' if os.environ.get(name) else 'unset'))\\nPY\\nif [ -f ~/.git-credentials ]; then grep -q github.com ~/.git-credentials && echo git_credentials_has_github || true; fi\\nif [ -f ~/.hermes/.env ]; then grep -q '^GITHUB_TOKEN=' ~/.hermes/.env && echo hermes_env_has_github_token || true; fi\",\"timeout\":60,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}"}}], "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \"GITHUB_TOKEN=***\\nGH_TOKEN=***\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_LiECv6HhCVVLnOcmiLJHlVYE", "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqEYq8L9yfGHHHCoLdQWa9QsnAYINKOBEzynh_7sbrqp_2qEuhOWmsYYmav2h0GCNmfC0Sh4X6m7Meho_RrJPjtryuBwGcBdHfloeC769cJEjZNARZ6PqZrz5GksY89zpDICdlYIkOkBQRhrCg0bGTs8siwv7xKKIu88RKLozH5F032Rpn65VjrOYoNBfavwJVjdwCmgRLD6UFfdkjxjnFX7jS_aXVBAKZ1JzvEyyb6w2EVDGBW1hsB6mKyOfhBLND-74JY3LICyL7S9nYusbza_uH6GnY5_Ag6YeEb90ZLpj-yhxiuXfqAiaAKDGKvhbE1KfXLvXhLXkGCX7eaf5_9rN0gN7dZG6w06HjF2_gi8SvXLommK0jbCsgebJv05orG7tp-8da_ilUY8HQGe0OSWBCxsLtQ_oq5-J5IQx_kA84GXkVJGzUsEwYrG2HmT8qMc4SfYeMpDt-v-OYAFeJUlzqf5-hsG_0UbdyBsoQ4p4lv39Evy1cKJAy0Cn-f9KFrYWxtxLXwC62BVPT10oxU--Cn7UOVDcpV41RXNf2y4SbuikKYjLbCHKMk84p8cLOdls3WgT7HZuYFqoYB97KVfXaMeH2GOd0SeWyr5kx2Ij3zlkh_22iVlWg7TzzpC7IR3XqZdZGJlnOodZwLHg06ztZv3ndGCf4azkPb4BM4ZlDwxeoaVPCTMhP6SXbVqTFA7bgD3-HXsrZnZa67O-Naqwtp37iTRJpSOa4c9ygVUoEI8UijV2jy7un1IsH8qQIfPYqX7zR3w51MvvCLoO0mYurilEOabTQvzrzFAKF4fls7iubyhNNbGfLYVx6G_jf1PNeI2FlB0_g0uY9VuGFMXQH36tycQxsZMAkifnm10qkeFY4ukeebJ-jR95UOl2SBmxNhyxoyyiyTy6SEa2X6pdjr-HeevIxkjaspPIAW5TGw_gcQug4dIXSKIoqsk0sINxU41p8SQsmstv4o9y5C4RgbTOO7UG6UrJLsDHf3LUGe53vXsXhyeD4Da0psRAARRqqi3kj4hZmzqV-i_SVqaUhvw==", "id": "rs_0a495d8bbb431dc8016a118abbdab08191b713309069ac8713", "summary": []}], "tool_calls": [{"id": "call_dYLXspI9E3Px6A1jVcqOVBst", "call_id": "call_dYLXspI9E3Px6A1jVcqOVBst", "response_item_id": "fc_0a495d8bbb431dc8016a118abca3c08191807d19ae385bd4f1", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"set +x\\nBRANCH=$(git branch --show-current)\\nTOKEN=${GITHUB_TOKEN:-${GH_TOKEN:-}}\\nif [ -z \\\"$TOKEN\\\" ]; then echo \\\"NO_TOKEN\\\"; exit 2; fi\\nAUTH_URL=\\\"https://${TOKEN}@github.com/Gamexgit/AutoShortsBot.git\\\"\\ngit push \\\"$AUTH_URL\\\" \\\"$BRANCH:$BRANCH\\\" --quiet\\nLOCAL=$(git rev-parse HEAD)\\nREMOTE=$(git ls-remote \\\"$AUTH_URL\\\" \\\"refs/heads/$BRANCH\\\" | awk '{print $1}')\\nunset TOKEN AUTH_URL\\nif [ \\\"$LOCAL\\\" = \\\"$REMOTE\\\" ]; then echo \\\"PUSH_VERIFIED $BRANCH $LOCAL\\\"; else echo \\\"PUSH_VERIFY_FAILED local=$LOCAL remote=$REMOTE\\\"; exit 3; fi\",\"timeout\":300,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}"}}], "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \"NO_TOKEN\", \"exit_code\": 2, \"error\": null}", "tool_call_id": "call_dYLXspI9E3Px6A1jVcqOVBst", "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqEYrF5sY_TG0aVUhAVGT6j_2sGKKIDR03x-4g7pjp4YTxCt0son3G5r1EngCCJNqkm1DOcjTAOlkeepBfm8SAsJW9V0-_2y1zYzEnDC1OofZxiplNC1zbzxw3oTIwEfRuMNlb_jtyYm4fxUNEjwu8bpcD_KMpWXdashfbOx6R6N3AQQUuhl5waw8zGWKOE8suSv48qomFCvnHXVlzNxt-6BLTdgCkBLsQS12EYg9XFcMZkWVL1a5iEqfpGSwoGouA4_2yx7yDLB0EdHXp7ceICdeFeEomVCZ2DwTzzjxMvYR5glHPjqDBZuWdooi3LPot9kh1Kw7Z8Yaw7HyPO2fM7Tj3b0ALeX5GtidHqlvb7tFp3Eq70rnFtCoF2wybNc53ubsnWns-26bLGoHM07vtw2Stb1A3-BEGKTxaULxkpJDV0UGCd7S10ZoY1uFvtxiWl4C2A9qknhTkZmCs0Iim05GUgvMw-bH0sXc3NDbDHMtEw3SAj3ueIQ2qbCOHTFZypA_1IFkcXKsPEl3Z_9-cmCkEK3l7WPiOj4ydVNkf6FlbGneHurp2H__YZn-eC0NX4aLaeklRDHmRPt1tvirX0RYJUxtiwjQFYN6Xn_tuL67eiMtxn7q78W-sV88BUBArVyhdPveBF63Pc0UDwseFEzOnytX2wSvTr9Vc8ePVyaWL63KR6CEskJeiOFxA5fW6kgIa87-C9SGtfuxYNvVMUpTxz8YiTn8gacoad7ZhFwYU-we5en-nMBfbDCQW3L2k1x-kr-koq1iousXA2R0PifRSfPd1TR98x5jy_Ac-Ite2VkXbkcLiXT1ogc66Bf5EVuRyRq-Z73knSgD7kk4JKwLN25r8ci3STlEjLI-SheNOskk7CNw16O2S19NyeRxs3St2adFqQgx8NZnfVp-JBK0DApZd82fPlbsr9gc7f3FyCPpQ2EQAXXZFEiFVbRdc4_lKJ9BArQdovN4z_Lj-fmNvXtN3xC_sb3shU0dvHgBN9xEDfHGTWnmPfLjWDIRi7T4lE4t78wqXdT6830K9P_9QRj3LC4QujupkQ9CpZUKqJ1YiZx4RJrXm0wcVue9vduCdDqBk_PDhXX2cP45AALNM94wMGletqX_qnd8jgq9IkVYPNrQikzqYO3d7XBpsebaqMP85m4uAhqChINl4P3btdvGkE7OiMDTIxqHeoFx8VCYip5KWrGHiP3kyKeIhqqPZjRibm9mFuHOSVZaKkesUl6mdq3W9zrVa2l9GvEW52NWuVAD3LYFvAqmjNP9Huz1xK9ibB4CgiRz6uyLyKAyjfxfVzO7qyD86izexNaL9d4bIfiz8dQoa7GmBxdZrwfI08r3f2nH6UUJh6oq5m2TthRk9TwULhJ8HK2S30HJ06qvC4xBoQ3u29wTsAVOWGLxvQ1wguP3VrSHYlBvtmE5Ht1pWwevARI8A4L-_vI3NmIEb48OpE3lTP4IPCOJOCMkeHfVemOotEZotV7oraAjg7_K5qByzONl0HwxL2-nW32Rk7E8DpkCXk2KTLEAwlBJWbClRJ15TyCVFtnq5emc5cAi741FHxWaG6uLHrmd5Dg8hzEnRQFwoPN1pml8nlx5NEUQcvYXUHSAFd4ZqeN2vIoKfjEOgzfXf3V0-ia_zm3vof91b5DBQY5GsmOcRR_QFmOkVZOY3FNDUbyUW-2z1Yy4t1Zr3kMnZlJdKWBVhVEU=", "id": "rs_01b8def93e9bc999016a118ac30bd08191a0e70b5bae9c66d6", "summary": []}], "tool_calls": [{"id": "call_YKRIUM6fPxX1TTOH7upbODv2", "call_id": "call_YKRIUM6fPxX1TTOH7upbODv2", "response_item_id": "fc_01b8def93e9bc999016a118ac5e1408191b71827808455b349", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"python - <<'PY'\\nimport os\\nfor name in ['GITHUB_TOKEN','GH_TOKEN']:\\n    val=os.environ.get(name)\\n    print(name, 'len', len(val) if val else 0, 'prefix', val[:4] if val else '')\\nPY\\nprintf 'bash GITHUB len %s GH len %s\\\\n' \\\"${#GITHUB_TOKEN}\\\" \\\"${#GH_TOKEN}\\\"\",\"timeout\":60,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}"}}], "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \"GITHUB_TOKEN len 0 prefix \\nGH_TOKEN len 0 prefix \\nbash GITHUB len 0 GH len 0\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_YKRIUM6fPxX1TTOH7upbODv2", "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqEYrOmvl4oiK3IHtNxuEYAfZd1l-g3V86tjzKqtpd69suDUicPReq4eaOxreW9V3VjjBlLb1KgpWNF1dLdaKdwVfG3ICeEXzncnkluZRGmdOuSEGkNU_4_WkK_pxOyV2lTjrmsA5SPOIqB46UxD_j6u6_wHmqD9r4rGmWbIzB2N0pf2qs62BPHOQZ38qev_cOpXKOKjnZsTmaGlQMsubd49CqknRjh9_DoenksfO-rww77q_i2e4C-VUCY2xLq0ZwjJ2St_3k-myJKJQ7JBEpWH3fOp_6D7y_p3GsXNu0iE6GkcsLNI_Ro5GzF8esgvxBJ-FoMKJyMEDrz0pcah6tvxbCro6QUbSXDSmHnbLw4qUE_lPHimXcxeKUSrzp1yCITlvKedQbeIsmqZhdBuxTz_8j__6yqfCW5a4DXhuBD0j5bbbB3WDQ84ayp2fv0TkyFpqvs7zGccV_6y2s9xjgYz63OD4u8RrbnGj5Ar8sK8TpDF-5bo99Y2mcwJ8tY6Nv1qh_ntq_-kgV53sVAj3oOVmghKKn5t0UTOOG-NxMZcC1hf4_9ynp2iunBAqdtcisnMF4fHjrDE1THM49qKfyBJCtx7ozdcFtNQvXQImkGtOeLoj5oobyP24gvZq3KCosqyTFpndaage61Ej24bl1gTb7f9NOCSMePKx7DHAzvhEluIkK5xm0g7e8XZhDNHxmoXVz8SS9eCpbDEJEzD5ow7LRFcv70nKGCn8pvcPSxucSlB4d1Bqlc---oq6qCCxswdAZiptTnhqFhEAEXwRuKMWVqHPzfpcPN6sakkc47Vg9XzXqhtg9WGpDgdjfnRdl_jTVA8FMILkiSESxCZD5QnOxx1LohJJijqXp1mkPLIHDoS9x8IOb-Xy5dvEIbNnVfS9rwS4eujFUghtBG8cPG7hBGy1mp0PGVm3j2rPLx_CocclSn2ISaqtQamcyNmEQJbdJCl226Mp6fEOy4DkbkG5hga80pWeAxN-LfDJ8AUmhfQblDBegyqigtB3yDq_QUVfQ6HuMXrMpsw-Y8uYRHLd8L2nFHBCXpjrEiNDyV-80rVkJvEjrBtjjoslNKNRTDK6XIhXDw1cC4ROnzBBvJVrgDAElhWbWMbNJ-yROFjCiPrnMo4TNTKzowMO_DBM5K_pukV5sg7Trxw3xWErQT9_2lplIqcq3Z97egtAgXRyWTyybA3gQEDZEjmvww-evQtddH6yPeFBAZeeUTxFbW868YITD-5kl29isryumA-DKkRlZjZ6uIuiuxZvpPHjUsPyiuSQR1wlytVv2CK2jxADIO245u44Bce6oYf3tSbxhVsioXXu7kBCNhLah3GCEluowIw7oRRHR63G_w0kGcqY00Eo64jt59UjYY8X67RoPoEEGnKggz3Js37J4hMxrBmDtrvh59M_BBQy99QZlED-cVXWXlcP5xIJdyZH21OIIZjpZUA4nbD_-NfrUoB18PPpOu3S_XnzwkrzJY3SCVMGiATQiN2c-h8O2b0jSyl8_vB6vcFLqYi4R6f7vmiLYyRH4ms_Ey-6eDP3MRNb6nZC5WB3DKDpnH0mTcZHPjjTar3so5W1wOoaUAvFRQvXZ4VnToFHmeDouiHW2ww4UiCWfEfgrSykBrNkIBmQqbD9eG1pecwzU5YVUN8EryYASHQYFsRQ74Mq-4cHRc7V2Ev9qUluyakpXLe63uxQBihzKMwk6fH802kqAd_j-GeOCR4mOIYtettQ7VvLY-B8pg4y099bhzLc26Sz51oAsp357R5LhA4_ZiVPHf5NHevj1iSyo38v5RnX7SkOSnGLuMj50G6KUXdx5JwXIPjbwxJXKRLf4xG7KbaUVgzaknxdVhjYaKfBAwPFehhkIRnKkQWEJ79SkY4l4fRrUcO-5uSyZxUNPatZLaZvziD8Lm5EeJO_1v5L0skHaVjYfmtOXV4R4KgJGaGCqum32BbIT7jAtKnmxTLq6BM-B_g93a-ToXgUzAqM4Mi6O2IyQLuvGphvYQXOmDZMMC-HnUyONq3qp-Lg=", "id": "rs_03d676cb9e8df55c016a118aca8d748191b92f85d5f25038ff", "summary": []}], "tool_calls": [{"id": "call_7zPHPM4xRABfaG7lngx2Zs3G", "call_id": "call_7zPHPM4xRABfaG7lngx2Zs3G", "response_item_id": "fc_03d676cb9e8df55c016a118ace27408191b8596f43ebeca08f", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"git config --global credential.helper 2>/dev/null || echo no_helper\\n[ -f ~/.git-credentials ] && python - <<'PY'\\nfrom pathlib import Path\\np=Path.home()/'.git-credentials'\\nprint('git_credentials_exists', p.exists(), 'size', p.stat().st_size if p.exists() else 0)\\nprint('has_github', 'github.com' in p.read_text(errors='ignore') if p.exists() else False)\\nPY\",\"timeout\":60,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}"}}], "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \"no_helper\", \"exit_code\": 1, \"error\": null}", "tool_call_id": "call_7zPHPM4xRABfaG7lngx2Zs3G", "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "assistant", "content": "", "reasoning": "**Considering SSH options**\n\nI’m thinking that maybe I don’t need a push if I can just ask. But if that doesn’t work, I realize I can state that the push is blocked. I ought to consider using SSH remotely. I should check if my SSH keys are configured. If they are, I could successfully use SSH to access what I need without any problem. It's good to weigh my options here!", "finish_reason": "tool_calls", "reasoning_content": "**Considering SSH options**\n\nI’m thinking that maybe I don’t need a push if I can just ask. But if that doesn’t work, I realize I can state that the push is blocked. I ought to consider using SSH remotely. I should check if my SSH keys are configured. If they are, I could successfully use SSH to access what I need without any problem. It's good to weigh my options here!", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqEYrlFbhZEuXOhdnk9RJoIrUO6tLm-AJbxtM3ZkCgCEUGXA9HSgAno2pt6crFwZmHhNLSzn7E0OjMmXWJimPqXKRZRdwprj1wxDVvTe1sOpXtbkMvUPJXpKpGAyEt5QkUqWmmhX_bLWTTtSqWP-MmjxUN-UikB7q5MzfeqsEsuvTF7H4EEAmhOMEjw8Ni4OiR-QAyDOBa2g9N0U70zDBxcFFP6xQ-_EnrNjr0yo3vyozKn5e73YPFSn8DRoEO9_gcdIvXuh7Lj-DKg6kr0PozEx8ylzsnNQckLq4vxUABSYumvbmgezI8P4PmC44N3nzaJ9lHVj8kgVrzXdbOscqyoJtbBdIUbtEPQD79YLYkXrZt_FxapZF3nIAPdr6MAJ2xtNBr78j64hNsZ54HjhPo_8bid814Ul4numUeub-fSMPmpTAB7-ER5-2jb3cZ799hRLCgeGKeIXD3kxmV5NLA380UevkbC3xjM1pCVEAlc3CzTp6kcL5cZFcVEKB_qVmZKI_41g9YOpbqLy8V_EvPiO_QGJTz_0DpxgaLIMSoz9K7kd6JdCKfYfyGMvo92f7-tkEdt_OBYp2cJxm8TF9SVkNgKrrqneB1dS52vw29jwrPi9dZ4x2C59AXg-rjBl4ZOhmhnj7zrZtbMhE6qtqcn_TVaJP1UXjS4MxPd9TXTZuCixBMbOeTpFQ44oSAoHX5omdJ4vpju8lEXlCHB4_9dspKv9GHPMMCbAywil2psuP0maSAzkiP0P6SySUFff1smJnKctuX3mf9soRK9F8e_050IIItgIOXR8oRHTLxcnMdFSBydYmQfnhV8CYiDx6PejYmA3VczIrNvVHIionpzxNv5nHMpIOO9vZqW0FRaqkSJHJTN3tEH5qAtRTdncqTLHxCAamooH5wMLCVMBeVlKCBp7CI88Ys1mBDNbNymV9omGMG4LvOjnIkhEQKYVkjKLGcOj9yrqUkLVbdKDl9g5oTYnnbfpOsRyLfaKnmvOgMpJgDuyM5PZhkSz3wnRlkmW-JiVKjbxUYbNfr2zs_LrjfEu5P2gvmSyCGCvidrLU_UjVnNVKIKZqNEoZD8iq8osfVDUWtJSjrJnLVJahhvltm8A==", "id": "rs_004d0d07f4c4dce5016a118ae34f0c8191b1d547acded89b7d", "summary": [{"type": "summary_text", "text": "**Considering SSH options**\n\nI’m thinking that maybe I don’t need a push if I can just ask. But if that doesn’t work, I realize I can state that the push is blocked. I ought to consider using SSH remotely. I should check if my SSH keys are configured. If they are, I could successfully use SSH to access what I need without any problem. It's good to weigh my options here!"}]}], "tool_calls": [{"id": "call_dEyYkYE5tUWdM7788zXKKEOM", "call_id": "call_dEyYkYE5tUWdM7788zXKKEOM", "response_item_id": "fc_004d0d07f4c4dce5016a118ae56b188191a9dd2d849211a426", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"ssh -T -o BatchMode=yes -o StrictHostKeyChecking=accept-new git@github.com 2>&1 | head -5; true\",\"timeout\":30,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}"}}], "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \"Warning: Permanently added 'github.com' (ED25519) to the list of known hosts.\\r\\ngit@github.com: Permission denied (publickey).\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_dEyYkYE5tUWdM7788zXKKEOM", "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "assistant", "content": "", "reasoning": "**Finalizing media and testing**\n\nI need to make a final note about committing changes locally that haven't been pushed due to credential issues. I might also want to deliver the MP4 media. It seems important to inspect the final screenshot carefully, as I’ve already done that. I should probably run full tests after the commit too. Plus, checking the status and log would be a good idea to ensure everything's in order.", "finish_reason": "tool_calls", "reasoning_content": "**Finalizing media and testing**\n\nI need to make a final note about committing changes locally that haven't been pushed due to credential issues. I might also want to deliver the MP4 media. It seems important to inspect the final screenshot carefully, as I’ve already done that. I should probably run full tests after the commit too. Plus, checking the status and log would be a good idea to ensure everything's in order.", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqEYrs9W-nQ-cJcOG_XJwxvaHOv87aqCRrmh-kZfbt24rq6MlysIcOfA3KtUWBo29fi1OTi4JnGWUE_IH_MKKDAWHgLriJrgx2hIk0JmJugj02EckTCLIZ7ohOGKySENGVriyhX8q_8xCnEeHVIbLkSAIq0scR-0F1qtaCroVPgnmC8vFtwXnCVmnzse4Uq09S0FivK6JTqW2ZXspbAzTzW-6LkptZAA2svdm3zz73a2eJYByaig2w0KVrMfSRKbC2UJM8OMmYEJAdmJVI0jaqvHfR6VoYJBWZAzXwx5vu5rFAlZAwLtYjT1zrCj8KaFGAe9IKM0F2wnLWjS6lj2gbLhaFQRDQM5w80TZg8OIASow0Q6c_vrx4ITLd94pje8tiEgCyXjyknAOGLkbzg-8lv2iqXzkw8h98ohszELZNbuu2hu6v0Fvfr_0-bV-3MZIHdQAGCQa7f-FoE5r2LjYbwxJxX5jbJYwaI6hGBvyPR2F6HRkiax6LSphS5svKo1Ex1N3Kqr97n8Enfu2BaqmH_oeSiGmYcfg1nbcCUJvq-1TnB5ItHcHIqeH1cjBRhSyzRbUJ3SdymKQ0lSPIgLZaRBGR6eK-G4nQH_yDyR585OrhYP6yctix5cfNRhydy4-Xe4egok6prLMX4XGvqFbWoWsuz993BkV3kim6eXi-c4T-CRsChwManJ1kedeiE-hNexOeulXxXxHw4V-c21HHHXerPy03Bxiq_pBrPhIYI1TcEDcRnBNhFqA4vQ277ItRno1tXSXZvT23Eyh8T6o2RKGVYpq1M0GW1wwPQNW_SE1yp6f_T--Aidz29z4K5IoDiSjH459o4Hw-GA6MqQF9fddMqW-Ea7zpK8_nNIkFkbrlHP0evBmdf84ruiuPl9PpZXqkJQS_Vg-4Bl9Be-HvkxqfapTfgeGEvtIY6bZVKqqkAdRTN1uvwjFWSIbplI-jjU_GU6qa_jrjh0GPR_zl7gx3cGvf_ykPDmaR-d2xD1jZEbdLFI8-hCnQ0PzcQ7gtajRzWDhsBNCfyurLV9Wxq0qP-O_6C16hntAt2gEYsGY4YK5XDRY9ZFteoSf6DArEoxOSRdtkfWfUMzNEy7lbyeves8bSrQl36oTtiy-GY-Sa70qCT39s57l8jeubr_QPtFlbaOpRZQfzm1xcovdfopJYeySOKMvWuClHgB-ykZQMqvI3aBsIhL-HtoTuLP6mffStUkI4iAuIK1lnV2fRdH6WXw==", "id": "rs_0c22421588f067bf016a118aea6ce88191bf2162e7bb19553b", "summary": [{"type": "summary_text", "text": "**Finalizing media and testing**\n\nI need to make a final note about committing changes locally that haven't been pushed due to credential issues. I might also want to deliver the MP4 media. It seems important to inspect the final screenshot carefully, as I’ve already done that. I should probably run full tests after the commit too. Plus, checking the status and log would be a good idea to ensure everything's in order."}]}], "tool_calls": [{"id": "call_suydXT91R89LchRI8vCh6EDl", "call_id": "call_suydXT91R89LchRI8vCh6EDl", "response_item_id": "fc_0c22421588f067bf016a118aed00008191b7aaad4adb8e40cd", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"git log --oneline -3 && git status --short && git rev-parse --abbrev-ref HEAD && git rev-parse HEAD\",\"timeout\":60,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}"}}], "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \"ff5df62 feat: add free local motion renderer\\nb54a903 feat: add free production job specs\\n4d1e8f8 feat: generate mechanism render manifests\\n?? autoshorts/review_package.py\\n?? data/telegram_reviews/\\n?? scripts/generate_telegram_review_packages.py\\n?? tests/test_review_package.py\\nfeat/initial-growth-engine\\nff5df626222b140421da681d643cb8d1111adc92\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_suydXT91R89LchRI8vCh6EDl", "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqEYrwLfTU1bjk6rbh7v4usjmMXfFaeMQlUxfUVaIpwEn_47vMzlSCMtFu1hSz6ipbvuRq5VZgv_TcKEswlAzHIRZJBt5hpj1kz0MtmAVSLpiDfo_M4uCtFHEulwXkK4TUV51UKAv2vqqf7veAEXTJ6I3pTck3bAR3YSRg5tiBOhs3LZAqXLJramSbVyzjzG2RE_ueRa9bq3VsaOxVqA8iF6W45neev6SxIDYgQ9FWWhvMJfsIB4Yu1Opm3Npb3xmB6u3oVSvENs0VzBPwo1RYQMcGuJyRh9SVLcb5EHScE1x5Ge0FuP_xRnk301vpk-_hIKtzKaGF-w0-IIuYgx-L8dtaSS8uDoMepclwKegH9YGCq_B058A7hFyFVn30o3p8IsvcdCcQWb7Vy98Zj5uxkMsY8PpQJp4EQJhS9lMgHE5h77BFt_cH8kvTIf7rpm1NdVS9IzFjK0IXdrgDmBxCmRP2_OFiVM5GpcEhHbaPpZXNazCOCzZmOyEGpuEY3sKIZpTSoW1nUoPnqFmmYD1ucF1FCjoWFyMJbNSdVPyN3-quLQUQOQJ3eQJUsXlsFCJ4XOmkYf7kOqRyqWAcdBYnXLTEeMZ61RGUpL1FvUd05umRACQCCJUC192W0vGkdC0HRvjNGZResR6MdEb9-m0taJo01I5FCpCuD3F7i24_Im3Csc2hGM85pT8xG-Nz391i_GydnFF_3WTwp3STB3YvIzakqXCj0IpDiImiyBHjDGTSwyOJf37kYygDLC7wHC3B9vXG_vtxSlp-TpGq0KQJ1lViMYMuLnqGJ08X_KMvcG4OwG5fyga8tqBClZL6sSzmeOvuHACod4j29kIHkUJWoFKjRgQdeeaTgJNebUdeaPNX6SykTkWncuMu4Ep-ToiifXFOe1sKJ8A39JNNe3ox3_40cS6-TIis6jsI0lV2kecqnJheKW-olnOGXoRrTFQpk9U5Hw7SWL2vKd9eiDopKndSEQ==", "id": "rs_043833c46c0d4b6a016a118aefca248191a272498a6332eb80", "summary": []}], "tool_calls": [{"id": "call_3bWyFmhw9r1ETXZXv6LW3eNA", "call_id": "call_3bWyFmhw9r1ETXZXv6LW3eNA", "response_item_id": "fc_043833c46c0d4b6a016a118af05e408191bd7aaf628aaa3d38", "type": "function", "function": {"name": "todo", "arguments": "{\"merge\":true,\"todos\":[{\"content\":\"Local Motion Renderer v1 implementieren und Pilot-MP4 rendern\",\"id\":\"implement\",\"status\":\"completed\"},{\"content\":\"Tests, ffprobe und Git-Status/Commit/Push verifizieren\",\"id\":\"verify\",\"status\":\"completed\"}]}"}}], "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "tool", "name": "todo", "content": "{\"todos\": [{\"id\": \"inspect\", \"content\": \"Repo-Zustand und vorhandene Free-Production-Pipeline prüfen\", \"status\": \"completed\"}, {\"id\": \"tdd\", \"content\": \"TDD für Local Motion Renderer v1 schreiben und RED verifizieren\", \"status\": \"completed\"}, {\"id\": \"implement\", \"content\": \"Local Motion Renderer v1 implementieren und Pilot-MP4 rendern\", \"status\": \"completed\"}, {\"id\": \"verify\", \"content\": \"Tests, ffprobe und Git-Status/Commit/Push verifizieren\", \"status\": \"completed\"}], \"summary\": {\"total\": 4, \"pending\": 0, \"in_progress\": 0, \"completed\": 4, \"cancelled\": 0}}", "tool_call_id": "call_3bWyFmhw9r1ETXZXv6LW3eNA", "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "assistant", "content": "Erledigt, Sir.\n\n## Free Local Motion Renderer v1 ist gebaut\n\nDer Workflow ist jetzt wirklich **gratis**:\n\n```text\nFree Production Jobs\n→ Local Motion Renderer\n→ FFmpeg MP4\n```\n\nKeine Hailuo/Kling/Runway/Veo/Pika/Luma Credits. Kein bezahlter Video-Provider. Nur lokal:\n\n- Pillow\n- FFmpeg\n- procedural motion\n- mechanism layers\n- kinetic captions\n- optional NVIDIA LLM nur für Text-Refinement, nicht fürs Video\n\n## Neu implementiert\n\nCode:\n\n```text\nautoshorts/local_motion_renderer.py\n```\n\nCLI:\n\n```text\nscripts/render_free_local_motion.py\n```\n\nTests:\n\n```text\ntests/test_local_motion_renderer.py\n```\n\n## Pilot-Video gerendert\n\nFür:\n\n```text\nWarum ein billiges Auto teuer sein kann\n```\n\nOutput:\n\n```text\ndata/local_motion_renders/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.mp4\n```\n\nTechnisch geprüft:\n\n```text\nwidth: 540\nheight: 960\nfps: 15\nduration: 34.000000s\n```\n\nPreview:\n\nMEDIA:/home/agent/jarvis_runtime/AutoShortsBot/data/local_motion_renders/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.mp4\n\n## Was der Renderer v1 jetzt macht\n\nEr erzeugt lokal bewegte Szenen:\n\n- Scene 1/2: procedural cinematic motion mit Car/X-Ray/Preis-Risiko-Tags\n- Scene 3/4: Mechanism-Layer-Reveal mit Preis, Reparatur, Standtage, Marge etc.\n- Scene 5: kinetic text overlay\n- Caption-Overlay mit sicherem Text-Fitting\n- sichtbare Bewegung über die gesamte Laufzeit\n- Metadaten-JSON neben dem Render\n\nAlso nicht mehr nur statische Preview-Cards. Noch nicht „Netflix“, aber auch nicht „PowerPoint im Witness Protection Program“.\n\n## Timing-Fix\n\nIch habe außerdem einen wichtigen Fehler behoben:\n\nVorher waren die Free-Production-Jobs auf Szenenlängen von 3–6 Sekunden gecappt. Dadurch wäre aus dem 34s-Pilot nur ein 25s-Video geworden.\n\nJetzt gilt:\n\n```text\nRender Manifest duration\n→ Asset Plan duration\n→ Free Job duration\n→ Local Render duration\n```\n\nFür den Pilot jetzt korrekt:\n\n```text\n1.4s + 3.6s + 13s + 10s + 6s = 34s\n```\n\n## Caption-Fix\n\nBeim visuellen Check war die Caption in Scene 3 zuerst zu breit und wurde seitlich abgeschnitten. Behoben:\n\n- adaptive Caption-Layout-Berechnung\n- max. Safe-Area-Breite\n- Font-Fallback\n- Tests gegen abgeschnittene lange deutsche Captions\n\nZusätzlich: gekürzte Overlay-Texte enden jetzt sauber mit `…` und nicht awkward auf „und“. Ein kleiner Sieg gegen deutsche Nebensatzmonster.\n\n## Tests\n\nFull suite:\n\n```text\n51 passed in 3.32s\n```\n\n## Git\n\nLokaler Commit erstellt:\n\n```text\nff5df62 feat: add free local motion renderer\n```\n\nBranch:\n\n```text\nfeat/initial-growth-engine\n```\n\nWichtig: Push zu GitHub ist aktuell blockiert, weil in dieser Umgebung keine GitHub-Credentials verfügbar sind:\n\n```text\nfatal: could not read Username for 'https://github.com'\n```\n\nSSH ist ebenfalls nicht authentifiziert:\n\n```text\nPermission denied (publickey)\n```\n\nDer Commit ist lokal sauber vorhanden, aber noch **nicht remote gepusht**.\n\n## Weiterhin ignoriert\n\nDie versehentlichen Telegram-Review-Dateien sind weiterhin untracked und nicht angefasst:\n\n```text\nautoshorts/review_package.py\ndata/telegram_reviews/\nscripts/generate_telegram_review_packages.py\ntests/test_review_package.py\n```\n\n## Nächster sinnvoller Schritt\n\nJetzt würde ich den Renderer v2 bauen:\n\n```text\nLocal Motion Renderer v1\n→ bessere Mechanism Visual Grammar v2\n```\n\nKonkret:\n\n- echte Objekt-Layer statt grober Rechtecke\n- bessere Auto-X-Ray-Darstellung\n- per-scene motion presets:\n  - hard zoom\n  - layer peel\n  - risk meter fill\n  - wrong-answer collapse\n  - final map glow\n- einfache lokale SFX-Spur via FFmpeg/Sine/Noise/Clicks\n- danach wieder ein neues MP4 zur Freigabe.", "reasoning": null, "finish_reason": "stop", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqEYr0RIa-vibCvsI5_3VcvR-rML1XR7oiB-Lupu8inqpbH8xYl4xyyONo6xT8bmDh1E33XSPVPHf2e21idZO-fmAnSICdyOVdqS8mS1gR93DC9-OeLO2xY2_6n4-1IuVMzcYZDrAyE1OkO5awj5yGPtxnwkQGRHf3PyRSzVB4InC842Vc4k8GkqKqTNkd6Q-2ApufqMoicd4kH82ZI8mFYyk9MHOYnc6q_YZfCnfjXLtyjG_PfNkfQ94t69ptFN_MuTs2PLht8BJVa44ATQu3ryrlbt93XIKFZyXOQel-YX2V8PQyn6DPa7Q1dnlILyd59znBGSbRduSqWdgkNPy6pHFzLXJfk0h05McycYP2pWKl75-89DQV0Z5bM7-6NYauQa0L4Pz-VYwKQ82FRufQbF_orGYiGp3pjnnnLK9tVyUbP2yySHjVpuHfQZ15T32SHQNoqndW4KppBMUMBiKt_ATs59bZvEGG3os69r2QTizjcOc8BCojlOETu44Mqpjq2Iw_B3ZFDedIlU340o-Q01iAcZqIi8lDGUDbH2C_7kJ1VamNJoB0JDQMzQveGYQSwO-t_1BLYOh-t3mP4uRN6wHhmhXds0q6m5muDr1NaG6Y9Z7mCtPIPy7KiRHan5FievtEI_570IfI_CUcJ93YR9hCcLWrZg4ukKXIU55_zNK9XALwcljv6S8J6c1ANMDVyltn5in3U1_nnTUgtk1AyrLBEl-98BCdc08RLwdkWijhoVHLP2EKqNNkyjwU-1RXmNT5v1bhJCmk-YrBzv5aDNkiD5NnF7YUqB_nVHw46aBy906vAhmBG_2ZiReVSIwJjk1JizolPXINNzrbqOd3F3MZMxR_pqO6XbWYUT6L7eIz6jFYzlQ3AJg1g9tvL5zhXGnKWYIAWja_R7kh2YDIRMxZ-fhle_hYISHECrwJLgkO28VBg0m98tRRnMbXB7yLjOtXZuljJ0R_CmPw9HANaIp5N656MD5RdFU17CzZbbXnHGk1uXbPmcjtWB1_slYOHPyEyzSegNNZDg2GohyVorteVoIjRzuqH8toQvfRw0La43aMfRg2BmbOI9ON8C-wBGBuhfxD03Q0rtaqeZ3syXWd3q006KIk_tWA6zoza9BRfyt_cKWNeCZdby1TtvLygBOTRnyKc4fiqWzoHdlciuyLc4fAxvOEv3Jf0xBUu7TFA-YuNZ2U9YDX53PvujeCQFZt2CukFN7tZ5cYW8HCRwv2kMWaANGNos4Fh3M2dZxjWiBDUQ8umv69wAJmaiU64dD3UaFas6kB0IpWX17XHScLaw==", "id": "rs_0d1a4d10654d56b4016a118af390ec8191a42e816e4c752c28", "summary": []}], "codex_message_items": [{"type": "message", "role": "assistant", "status": "completed", "content": [{"type": "output_text", "text": "Erledigt, Sir.\n\n## Free Local Motion Renderer v1 ist gebaut\n\nDer Workflow ist jetzt wirklich **gratis**:\n\n```text\nFree Production Jobs\n→ Local Motion Renderer\n→ FFmpeg MP4\n```\n\nKeine Hailuo/Kling/Runway/Veo/Pika/Luma Credits. Kein bezahlter Video-Provider. Nur lokal:\n\n- Pillow\n- FFmpeg\n- procedural motion\n- mechanism layers\n- kinetic captions\n- optional NVIDIA LLM nur für Text-Refinement, nicht fürs Video\n\n## Neu implementiert\n\nCode:\n\n```text\nautoshorts/local_motion_renderer.py\n```\n\nCLI:\n\n```text\nscripts/render_free_local_motion.py\n```\n\nTests:\n\n```text\ntests/test_local_motion_renderer.py\n```\n\n## Pilot-Video gerendert\n\nFür:\n\n```text\nWarum ein billiges Auto teuer sein kann\n```\n\nOutput:\n\n```text\ndata/local_motion_renders/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.mp4\n```\n\nTechnisch geprüft:\n\n```text\nwidth: 540\nheight: 960\nfps: 15\nduration: 34.000000s\n```\n\nPreview:\n\nMEDIA:/home/agent/jarvis_runtime/AutoShortsBot/data/local_motion_renders/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.mp4\n\n## Was der Renderer v1 jetzt macht\n\nEr erzeugt lokal bewegte Szenen:\n\n- Scene 1/2: procedural cinematic motion mit Car/X-Ray/Preis-Risiko-Tags\n- Scene 3/4: Mechanism-Layer-Reveal mit Preis, Reparatur, Standtage, Marge etc.\n- Scene 5: kinetic text overlay\n- Caption-Overlay mit sicherem Text-Fitting\n- sichtbare Bewegung über die gesamte Laufzeit\n- Metadaten-JSON neben dem Render\n\nAlso nicht mehr nur statische Preview-Cards. Noch nicht „Netflix“, aber auch nicht „PowerPoint im Witness Protection Program“.\n\n## Timing-Fix\n\nIch habe außerdem einen wichtigen Fehler behoben:\n\nVorher waren die Free-Production-Jobs auf Szenenlängen von 3–6 Sekunden gecappt. Dadurch wäre aus dem 34s-Pilot nur ein 25s-Video geworden.\n\nJetzt gilt:\n\n```text\nRender Manifest duration\n→ Asset Plan duration\n→ Free Job duration\n→ Local Render duration\n```\n\nFür den Pilot jetzt korrekt:\n\n```text\n1.4s + 3.6s + 13s + 10s + 6s = 34s\n```\n\n## Caption-Fix\n\nBeim visuellen Check war die Caption in Scene 3 zuerst zu breit und wurde seitlich abgeschnitten. Behoben:\n\n- adaptive Caption-Layout-Berechnung\n- max. Safe-Area-Breite\n- Font-Fallback\n- Tests gegen abgeschnittene lange deutsche Captions\n\nZusätzlich: gekürzte Overlay-Texte enden jetzt sauber mit `…` und nicht awkward auf „und“. Ein kleiner Sieg gegen deutsche Nebensatzmonster.\n\n## Tests\n\nFull suite:\n\n```text\n51 passed in 3.32s\n```\n\n## Git\n\nLokaler Commit erstellt:\n\n```text\nff5df62 feat: add free local motion renderer\n```\n\nBranch:\n\n```text\nfeat/initial-growth-engine\n```\n\nWichtig: Push zu GitHub ist aktuell blockiert, weil in dieser Umgebung keine GitHub-Credentials verfügbar sind:\n\n```text\nfatal: could not read Username for 'https://github.com'\n```\n\nSSH ist ebenfalls nicht authentifiziert:\n\n```text\nPermission denied (publickey)\n```\n\nDer Commit ist lokal sauber vorhanden, aber noch **nicht remote gepusht**.\n\n## Weiterhin ignoriert\n\nDie versehentlichen Telegram-Review-Dateien sind weiterhin untracked und nicht angefasst:\n\n```text\nautoshorts/review_package.py\ndata/telegram_reviews/\nscripts/generate_telegram_review_packages.py\ntests/test_review_package.py\n```\n\n## Nächster sinnvoller Schritt\n\nJetzt würde ich den Renderer v2 bauen:\n\n```text\nLocal Motion Renderer v1\n→ bessere Mechanism Visual Grammar v2\n```\n\nKonkret:\n\n- echte Objekt-Layer statt grober Rechtecke\n- bessere Auto-X-Ray-Darstellung\n- per-scene motion presets:\n  - hard zoom\n  - layer peel\n  - risk meter fill\n  - wrong-answer collapse\n  - final map glow\n- einfache lokale SFX-Spur via FFmpeg/Sine/Noise/Clicks\n- danach wieder ein neues MP4 zur Freigabe."}], "id": "msg_0d1a4d10654d56b4016a118af4fb808191a62d6cf14f15f054", "phase": "final_answer"}], "timestamp": "2026-05-23T13:09:59.397480"}
{"role": "assistant", "content": "", "reasoning": "**Researching video providers**\n\nI need to gather current information, so using the web seems essential. I’m considering relevant social video providers, and while I don't see a specific web search tool, I can use the browser for navigation. Additionally, I might use Python requests or other methods to access the web from terminal. I'll also check if I need to load any relevant skills, especially concerning social media and web scraping. Overall, I'll focus on researching and updating the registry with free tier provider specifications.", "finish_reason": "tool_calls", "reasoning_content": "**Researching video providers**\n\nI need to gather current information, so using the web seems essential. I’m considering relevant social video providers, and while I don't see a specific web search tool, I can use the browser for navigation. Additionally, I might use Python requests or other methods to access the web from terminal. I'll also check if I need to load any relevant skills, especially concerning social media and web scraping. Overall, I'll focus on researching and updating the registry with free tier provider specifications.", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqEZA7e9G1QtD4hbQaI1rS2Gt_N4ryh3R8gasJAlNBMA2-828kPAGMQQV3c5uvesxJhhYD2pKokR94mJGzc7UC_XvAERlZZa1MpJkEhdzKtYE1DtC_gtpivsHpgO19WzRgLr0UiXEZktdSRcpR0DqnldDy2Wxm844w_ydKCGNGj06QoDutBz3qgvPjVJ3rgMooLV4f9_vduW6UFabvx-__9P4AZhWBVofBwBl0vugRazhEVZZ_ks4o4opd9pjMQC-ngrQ9wBnMgmdh4DOe98h7K-BbYr0ERcg8ETJlKEbSScfUaAgqBrY1FQlYzgDOhOIwSrea-T6-NXw9V5BGHI08a1aXSkM0D5X4Avexm_40oFuJJqsldf_ufxaaHssk8_i-SXV3zEkeUAyNBac39TrR51Lt5L4wO69DVhfaBSe5rY8YXPAgTiZ5DGDYe1RSeeKbdazkJkOU2nJqDk1WZRtQ7ONzK_gd8qeBZcV5NKH6B2i_R9X8p6IyQzYF6LVYhoq7df9z5PZBdoMVSW5vYiBV1QkMiPMo5LkcxR0eZlLvIx-tC1Htg5HnZZfbCGDl8Qc4nWTByVA2b5k36xTKghta0A-2uQzOkvsIIgfAYM811nAlovimfZ4_M2Z1AwlHiko7Imm4_xOzVOKEzy_2vgByh9JgMP1NTgDqVdW3yhd7iyWGPrt9oqbQNrU98ijGVFhwwW0ZYjTutxDLt7bVBTIdTvrYneWQtLw280UirK4gu0hPM28l5Gd3SykgE6pRObOfxzmApE5Bso87HKotOMdFNDx4IpYryNdBlkdRF-2NAtulN30Co_tCSvKIczhrU6b2hIxiQRBNRzpVkMDlu5tTIX7HysMU5sPnzw_jlFMgCBaO6DFqxb1tKk7dolmiQkPT0-7q56Rhmrp9Ws-jsEdRTBspGVfvmUfihTCA3hDJbgxgck5epVSnPfQloy9xZJWWQp6Ewqvw4IZz92dFHQ7SJFcJE3jAtUph2PJbMvjUHfXaH_A6viu-R9n3OtDKrw_twxROmqsGw1Kfj_qEXeii-eePELZDVhiJSGX4m-ZyUqOHejrjLX3VGQSSZaSQ1eOq-MfnFiKD5aPnnfS0HPgukQGDOz0QqtLvLrmxi-v-1F1KYVtftjkZkyRpwzNPmsdu8ty8LVspmC-5xaj-sL_8dI6W2B1TrTl5yV1D8_yZzBc2Ua_9KNHheMffa0H46i23eHNU6kf2tpv5Nov7yzbOAp2gR5BOH35p4eb579sZar-Yk2qgZRR6rHYNUSgpvt4qp2HyfAGpdySnKPkfikN5zmfUZsCOpQQMcFzElMwYfPJsHxdMW8IC-bODPcpbru20gBT6WlX2UcCwDweQlVCR7vIU80gEsmV-CiBrE7GERD63kjNf5z2oybU54IxspW0WtyHiw-PWHnceQ4D8UqLufzstG0krk4iJ-YHZ9SwQTTdJ5eyagrYu1xY2guD27lqgn9vIKvYiksfbPqZNPkRcnpVpva_NpC-7kxGcTbfAvCwNJ8N3ZTfk3iagFPbw_rFLkwrIqhTGQui3KpLeI_YN0m1DgV1u9WZHJPoca_GTHjy-ieH4qdP84bof_rEehhpJgPLuN4B1QvTpHmtDvaIMe4xVvYOk0L_-I9TuMX7QvqqTjplRso1EwX2vKHY7YaqirR1H4aCj-ugBRs3E-sAzJ7NyuA0n-PCUkSa1YV7sp37NIdfUtx3Sm-24wvfIfNOMeSeJGdYdFsvLAdeFteAGYOG39nOwIikgsJraSANciuiEC8zQCdGgs3gLBZ6VQTNeH8gDddyLI7xSFisbVglSuhOW0TLfzN0UKtOABct8UlAlw-zv5Stj1PzK8_2tGT0kgSVB-oiRzI0Usjf3GgWUYZISaZnRkJ4mKCJisVa8Ennb1PfdsPMMolNjjvT7j3xVJxOUuro9BieGDCjscDJ0nC0L6D7o8G4cTZDaUsrtVwhDJ18=", "id": "rs_0d1a4d10654d56b4016a119037086c8191995124ce9bd4fb1a", "summary": [{"type": "summary_text", "text": "**Researching video providers**\n\nI need to gather current information, so using the web seems essential. I’m considering relevant social video providers, and while I don't see a specific web search tool, I can use the browser for navigation. Additionally, I might use Python requests or other methods to access the web from terminal. I'll also check if I need to load any relevant skills, especially concerning social media and web scraping. Overall, I'll focus on researching and updating the registry with free tier provider specifications."}]}], "tool_calls": [{"id": "call_2XUgbhw9kh3rtgQRNxuZpgQt", "call_id": "call_2XUgbhw9kh3rtgQRNxuZpgQt", "response_item_id": "fc_0d1a4d10654d56b4016a11903b7a808191bb9d3711e8c12efc", "type": "function", "function": {"name": "skill_view", "arguments": "{\"name\":\"social-media-shorts-growth-engine\"}"}}], "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "tool", "name": "skill_view", "content": "{\"success\": true, \"name\": \"social-media-shorts-growth-engine\", \"description\": \"Design and operate a growth-oriented short-form video engine for YouTube Shorts, TikTok, Instagram Reels, and adjacent channels, with human approval before posting.\", \"tags\": [\"shorts\", \"tiktok\", \"youtube-shorts\", \"reels\", \"content-strategy\", \"growth\", \"monetization\", \"approval-workflow\"], \"related_skills\": [], \"content\": \"---\\nname: social-media-shorts-growth-engine\\ndescription: Design and operate a growth-oriented short-form video engine for YouTube Shorts, TikTok, Instagram Reels, and adjacent channels, with human approval before posting.\\nversion: 1.0.0\\ntags: [shorts, tiktok, youtube-shorts, reels, content-strategy, growth, monetization, approval-workflow]\\n---\\n\\n# Social-Media Shorts Growth Engine\\n\\nUse this skill when the user wants to build, improve, or operate an automated/semi-automated system for short-form social media content: YouTube Shorts, TikTok, Instagram Reels, Facebook Reels, Pinterest, LinkedIn video, or similar.\\n\\n## Core principle\\n\\nDo **not** treat the task as “make videos.” Treat it as a **growth engine**:\\n\\n1. Generate many sharply positioned ideas.\\n2. Score hooks and scripts before rendering.\\n3. Produce previews.\\n4. Send the user a review package.\\n5. Post only after explicit approval.\\n6. Capture analytics.\\n7. Feed performance back into the next batch.\\n\\nA technically correct content generator that produces generic content is failure with extra rendering time. Charming, but still failure.\\n\\n## Recommended workflow\\n\\n### 1. Define content pillars\\n\\nStart with 2–4 pillars, not a vague infinite topic pool. For each pillar define:\\n\\n- audience\\n- positioning\\n- tone\\n- hook patterns\\n- visual rules\\n- no-go topics\\n- platform fit\\n- monetization angle\\n\\nExample pillar structure:\\n\\n```json\\n{\\n  \\\"pillar\\\": \\\"ai_life_systems\\\",\\n  \\\"positioning\\\": \\\"AI as a servant for ordinary life systems, never as values or authority.\\\",\\n  \\\"tone\\\": [\\\"clear\\\", \\\"useful\\\", \\\"values-first\\\", \\\"non-hype\\\"],\\n  \\\"hook_patterns\\\": [\\\"AI is a bad god, but a good servant.\\\"],\\n  \\\"visual_rules\\\": [\\\"screen-recording friendly\\\", \\\"human remains in control\\\"],\\n  \\\"no_go\\\": [\\\"fake earnings\\\", \\\"overpromising automation\\\"]\\n}\\n```\\n\\n### 2. Build a testbatch before building a full automation platform\\n\\nFor a new channel or unvalidated strategy, create a small batch first:\\n\\n- 3 ideas per pillar\\n- 6 short growth candidates, usually 20–45 seconds\\n- 1–3 monetization-length candidates, usually 60+ seconds where the platform rewards length\\n- one clear hypothesis per idea\\n\\nEach idea should include:\\n\\n- id\\n- pillar\\n- title\\n- platform target\\n- duration\\n- hook\\n- script outline\\n- visual concept\\n- caption\\n- CTA\\n- quality score\\n- risk/policy notes\\n\\n### 3. Add a script quality gate\\n\\nBefore rendering, score each draft for:\\n\\n- hook strength in the first 1–2 seconds\\n- novelty / non-generic angle\\n- emotional pull\\n- clarity\\n- retention risk\\n- comment/share potential\\n- AI-slop risk\\n- policy/copyright risk\\n\\nRender only drafts above the threshold, e.g. 8/10.\\n\\n### 4. Use a human approval loop\\n\\nDefault to semi-automatic operation first. Send a Telegram review package with:\\n\\n- preview video or script draft\\n- pillar and format\\n- title\\n- duration\\n- hook\\n- caption\\n- hashtags\\n- quality score\\n- policy notes\\n- suggested platforms\\n\\nRecommended approval commands:\\n\\n- `Freigabe alle`\\n- `Freigabe YouTube`\\n- `Freigabe TikTok`\\n- `Freigabe Instagram`\\n- `Ablehnen`\\n- `Ändern: <requested change>`\\n\\nIf approval is ambiguous, do not post. Ask once in the project topic.\\n\\n### 5. Keep platform strategy separate from rendering\\n\\nRendering code should not hardcode content strategy. Keep separate config files for:\\n\\n- niches/pillars\\n- platforms\\n- script formats\\n- visual styles\\n- approval workflow\\n- analytics schema\\n\\nThis lets the same renderer support different formats and prevents prompt spaghetti. Prompt spaghetti is still spaghetti even if it is wearing a YAML hat.\\n\\n## Platform notes\\n\\n### YouTube Shorts\\n\\n- Shorts can be vertical or square and up to 3 minutes long.\\n- YouTube Partner Program Shorts route typically requires 1,000 subscribers and 10M valid public Shorts views in the last 90 days.\\n- Alternative longform YPP route: 1,000 subscribers and 4,000 valid public watch hours in the last 12 months.\\n- Shorts views in the Shorts feed do not count toward the 4,000 longform watch hours.\\n- Practical early growth tests often work best at 20–45 seconds; longer Shorts need a strong story or payoff.\\n\\n### TikTok\\n\\n- Creator Rewards availability depends on country/account eligibility.\\n- TikTok Creator Rewards generally requires a non-business account in good standing, 10,000 followers, and 100,000 authentic views in the last 30 days before joining, subject to country availability and current terms.\\n- Reward-eligible videos generally need to be at least 1 minute long and meet quality/originality criteria.\\n- This creates a strategy split:\\n  - 20–45s for growth and format discovery.\\n  - 60–75s for monetization candidates once a format works.\\n\\n### Instagram / Facebook Reels\\n\\nUseful for republishing 9:16 assets and testing share/save behavior. Treat direct payout as volatile; prefer indirect monetization through audience, affiliate, newsletter, or products.\\n\\n### LinkedIn / X / Pinterest\\n\\nUse selectively:\\n\\n- LinkedIn: AI/productivity/workflows.\\n- X: AI demos, build-in-public, technical positioning.\\n- Pinterest: evergreen checklists, routines, faith/life prompts.\\n\\n## Repository scaffold\\n\\nA clean shorts-engine repo can start as:\\n\\n```text\\nAutoShortsBot/\\n  autoshorts/\\n    config/\\n    ideas/\\n    scripting/\\n    rendering/\\n    review/\\n    publishing/\\n    analytics/\\n  configs/\\n    niches/\\n    platforms/\\n  data/\\n    drafts/\\n    performance/\\n  scripts/\\n  tests/\\n  README.md\\n  .gitignore\\n  pyproject.toml\\n```\\n\\nNever commit:\\n\\n- `.env`\\n- OAuth tokens\\n- API keys\\n- generated credentials\\n- rendered videos or large media outputs unless explicitly intended\\n- raw analytics exports with sensitive account data\\n\\n## Implementation quality\\n\\nWhen coding the engine, prefer TDD for deterministic parts:\\n\\n- testbatch validation\\n- duration classification\\n- review formatting\\n- analytics import\\n- approval command parsing\\n- platform metadata generation\\n\\nRendering and external API calls can be integration-tested separately.\\n\\nFor this AutoShortsBot/Retention-Studio workflow, prefer a free-first renderer path before any paid video provider: `free_production_jobs → local_motion_renderer → FFmpeg MP4`. The local renderer should use Pillow/FFmpeg procedural motion, mechanism layers, kinetic captions, and generated metadata; preserve exact scene durations from render manifests, exclude text-only LLM refinement jobs from rendering, and keep generated local renders out of git (`data/local_motion_renders/`). NVIDIA/build.nvidia.com LLMs are optional text-refinement helpers only, not video generation.\\n\\n## Pitfalls\\n\\n- **Generic advice content:** “4 tips to be healthier/productive” is usually too weak unless the hook, identity, or story is sharp.\\n- **AI-image slop:** avoid generated images containing fake UI text, gibberish signs, distorted hands/faces, or abstract generic graphs. These damage trust fast.\\n- **Too much automation too soon:** validate scripts and formats before building posting APIs.\\n- **No analytics loop:** producing content without tracking retention, likes, shares, comments, and follows is blind output.\\n- **Mixed language drift:** decide language per channel or per pillar before rendering. Mixed English/German drafts are fine for ideation, not final voiceover unless intentional.\\n\\n## References\\n\\n- `references/autoshortsbot-case-study.md` — case-study details from the AutoShortsBot setup: first testbatch shape, repo scaffold, and approval loop.\\n\", \"path\": \"social-media/social-media-shorts-growth-engine/SKILL.md\", \"skill_dir\": \"/home/agent/.hermes/skills/social-media/social-media-shorts-growth-engine\", \"linked_files\": {\"references\": [\"references/autoshortsbot-case-study.md\"]}, \"usage_hint\": \"To view linked files, call skill_view(name, file_path) where file_path is e.g. 'references/api.md' or 'assets/config.yaml'\", \"required_environment_variables\": [], \"required_commands\": [], \"missing_required_environment_variables\": [], \"missing_credential_files\": [], \"missing_required_commands\": [], \"setup_needed\": false, \"setup_skipped\": false, \"readiness_status\": \"available\"}", "tool_call_id": "call_2XUgbhw9kh3rtgQRNxuZpgQt", "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_uu6MMkTuQw4JDJBLP5FzVNKz", "call_id": "call_uu6MMkTuQw4JDJBLP5FzVNKz", "response_item_id": "fc_0d1a4d10654d56b4016a11903f37a88191bc33bf555771b8aa", "type": "function", "function": {"name": "skill_view", "arguments": "{\"name\":\"web-scraping\"}"}}], "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "tool", "name": "skill_view", "content": "{\"success\": true, \"name\": \"web-scraping\", \"description\": \"Techniques for scraping web content, handling bot detection, and extracting structured data from websites.\", \"tags\": [\"web\", \"scraping\", \"research\", \"browser\"], \"related_skills\": [\"tavily-search\", \"tavily-extract\"], \"content\": \"---\\nname: web-scraping\\ndescription: \\\"Techniques for scraping web content, handling bot detection, and extracting structured data from websites.\\\"\\nversion: 1.0.0\\nauthor: Hermes Agent\\nlicense: MIT\\nmetadata:\\n  hermes:\\n    tags: [web, scraping, research, browser]\\n    related_skills: [tavily-search, tavily-extract]\\n---\\n\\n# Web Scraping\\n\\nTechniques for extracting data from websites when standard search tools don't provide sufficient detail.\\n\\n## When to Use\\n\\n- When you need detailed, structured data from a specific website (pricing, schedules, menus, etc.)\\n- When search results don't contain the level of detail the user needs\\n- When the target website has a structured page (not a single-page app requiring JS rendering)\\n\\n## Available Approaches\\n\\n### 1. tavily-extract (Preferred)\\n\\nBest for simple websites with static HTML content. Extracts clean markdown from a URL.\\n\\n```\\ntavily-extract: Extract clean markdown or text content from specific URLs\\n```\\n\\n### 2. browser_navigate (For complex sites)\\n\\nFor sites that require JavaScript rendering or have complex layouts.\\n\\n```\\nbrowser_navigate: Navigate to a URL and get a DOM snapshot\\n```\\n\\n## Pitfalls\\n\\n### Bot Detection\\n\\nMany websites (especially commercial ones like cinemas, booking platforms, e-commerce) employ aggressive bot detection:\\n\\n- **Symptom**: Page returns \\\"Access error\\\", \\\"Allo Houston?\\\", CAPTCHA, or \\\"Why did this happen?\\\" pages\\n- **Common targets**: pathe.ch, cinepolis.ch, booking platforms, ticketing sites\\n- **Cause**: IP-based rate limiting, Cloudflare protection, or similar WAF\\n- **Mitigation**:\\n  - Try a different URL path (sometimes specific pages are less protected)\\n  - Try alternative domains (e.g., `.ch` vs `.com`, different subdomains)\\n  - Use search engines as an intermediary (Google cached pages)\\n  - Consider the `tavily-extract` tool which may use different extraction infrastructure\\n  - If all else fails, inform the user that the site is blocking automated access\\n\\n### Session 2026-05-07 Case Study: Pathe Spreitenbach\\n\\n**Problem**: All attempts to access pathe.ch returned \\\"Access error\\\" with IP 31.10.138.136 blocked.\\n\\n**URLs tried**:\\n- `pathe.ch/de-ch/filme/spreitenbach`\\n- `pathe.ch/de-ch/kino/spreitenbach`\\n- `pathe.ch/de-ch/preise`\\n- Google search (also blocked)\\n\\n**Result**: Complete failure. All 15+ attempts returned the same error.\\n\\n**Lesson**: Commercial cinema websites in Switzerland use aggressive bot detection. When this happens:\\n1. Try alternative sources (ticketing platforms, aggregator sites)\\n2. Try `tavily-extract` instead of `browser_navigate`\\n3. If still blocked, inform the user and ask if they can provide the information directly\\n\\n### Session 2026-05-08: Search Engine Failures\\n\\n**Problem**: Both Tavily (`tvly`) and DuckDuckGo HTML endpoint failed for a general web search.\\n\\n**Root causes**:\\n- **Tavily**: API key not configured in environment — the tool silently fails with \\\"No Tavily API key found\\\"\\n- **DuckDuckGo HTML**: Returns a JavaScript challenge page (`/anomaly.js`) for automated requests. `curl` and `web_fetch` cannot solve it.\\n\\n**Fallback chain for web search**:\\n1. `tavily-search` — if API key is configured\\n2. `tavily-extract` on specific known-good URLs\\n3. `browser_navigate` on the target site (for JS-rendered pages)\\n4. `multi-search-engine` via **Startpage** or **Brave** (NOT DuckDuckGo HTML, NOT Google from server IP)\\n5. Inform user when all automated sources are exhausted\\n\\n### Dynamic Content\\n\\nSome sites load content via JavaScript (SPA frameworks). `browser_navigate` may return an empty DOM. Look for:\\n- JavaScript errors in the snapshot\\n- Empty content areas\\n- Loading spinners instead of actual data\\n\\n### Rate Limiting\\n\\nIf you get intermittent failures, you may be rate-limited. Wait 30-60 seconds between requests to different sites.\\n\\n## Workflow\\n\\n1. **Check if search provides the answer** — Often `tavily-search` + `tavily-extract` is sufficient\\n2. **Try `tavily-extract` on the target URL** — Best balance of reliability and content quality\\n3. **Fall back to `browser_navigate`** — For complex sites or when extract fails\\n4. **Handle bot detection** — If blocked, try alternative URLs/sources, then inform the user\\n5. **Structure the output** — Present findings in tables or structured format as requested\\n\\n## Linked Resources\\n\\n- `references/bot-detection-cases.md` — Documented cases of bot detection and their resolutions.\\n\\n## Notes\\n\\n- Always prefer `tavily-search` + `tavily-extract` over direct browser navigation\\n- Browser navigation should be a last resort for structured data extraction\\n- When bot detection is encountered, inform the user promptly rather than retrying indefinitely\", \"path\": \"research/web-scraping/SKILL.md\", \"skill_dir\": \"/home/agent/.hermes/skills/research/web-scraping\", \"linked_files\": {\"references\": [\"references/bot-detection-cases.md\"]}, \"usage_hint\": \"To view linked files, call skill_view(name, file_path) where file_path is e.g. 'references/api.md' or 'assets/config.yaml'\", \"required_environment_variables\": [], \"required_commands\": [], \"missing_required_environment_variables\": [], \"missing_credential_files\": [], \"missing_required_commands\": [], \"setup_needed\": false, \"setup_skipped\": false, \"readiness_status\": \"available\", \"metadata\": {\"hermes\": {\"tags\": [\"web\", \"scraping\", \"research\", \"browser\"], \"related_skills\": [\"tavily-search\", \"tavily-extract\"]}}}", "tool_call_id": "call_uu6MMkTuQw4JDJBLP5FzVNKz", "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "assistant", "content": "", "reasoning": "**Searching for information**\n\nI think I need to do some research, which probably means I should utilize the browser search. It seems like the best way to gather the information I'm looking for. I'll start by searching the web for relevant details. Let's see what comes up! It's all about finding the right sources to help me get the answers I need.", "finish_reason": "tool_calls", "reasoning_content": "**Searching for information**\n\nI think I need to do some research, which probably means I should utilize the browser search. It seems like the best way to gather the information I'm looking for. I'll start by searching the web for relevant details. Let's see what comes up! It's all about finding the right sources to help me get the answers I need.", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqEZBDW362V26kh0tgD5Q2s2N7gb8hXisi5s4PWsCVLKe_qxgRtRQJ2qX1RotcsdAEZFSduM9iYKylgHjQ1ebue9mjTdBjXQa7YByg53RRxA2GQkqkhK4GSulkhrsUfmhzT26kR3A1HZ_WePzIptzD6aPz8hQ4V_-XwhgyPAq8_DvZHL0kvd-V0lWK7OmjjaE4onm8Fth0np3xJg9OvFQFM9iiO4FAOXJyareIxykDOiVezVejjUhJYFP_LSUdAmY1H3WL5J-FruiFK6Ez4q1TtFWVwMjmO9m-CTGvuWJ152ZGFxuk4_4p1FunagGmM4aMG6OBOAYQxpdC42_AY1i6ztgX9J_aoOS6R25kq6csdXxfuDCkBYCTdr-rZxT8U2utL46zp6ykyglM1i7w3DqE8yhcRyxfmi4STsxzn9XKS5bOfwK-F8uIvDk_hzRDW-7uTUGGQckVIZ-0Ezt261i21-Gua0VqooxlxlCpEu26YRLhCnPoYdhRcnSzNzVW9_aMXH6zkKN4q6losn5SoVQf8eEbBuoIg3Oys54koblvTCKaYuj8eYoWro2-AIDVfMpKAHQSnay5NqyhVLH8XiSY-ha8QTy9HjPpLFAePtmYqfB4v1sPP-dO3TG2zUfz3Y2dSUHmuu8Tb5cGD-q99gEBjLMEu1TfbVKHWRvmNvXp9lef9p-Wl_WzV27Lt58gQlrbY-pCPzDnIv1IFPShe2CjeVv_Szz2o1DFJMQDPsvyc8__VlY3eq0kUTXkYPat4cnFhVzjPTIlyLZ8dl3fN59LSOjnuxEYZL2tAmONoO8ptrchTAOrrNpCyMQpSbrxw0eocQ-mUDbRuH4M8Cs1ZW382FJm2gm84RamKFmtVljYzGi2G2kiTDkmyLbGtVQK9MCZSEUGlBSXK9mDqkz5S-MMUTqHRo-RpPv1h3U_Gx8-yS19aDILfxLWeEjhNLjV05aAQJ-Pp6GjmIeeORp-KpHDMmyPou72T2tbOFyBRiIXKys75R8=", "id": "rs_0d1a4d10654d56b4016a119042194481918fc9af8136f91f3b", "summary": [{"type": "summary_text", "text": "**Searching for information**\n\nI think I need to do some research, which probably means I should utilize the browser search. It seems like the best way to gather the information I'm looking for. I'll start by searching the web for relevant details. Let's see what comes up! It's all about finding the right sources to help me get the answers I need."}]}], "tool_calls": [{"id": "call_EJDz0ZsP1y8hxElQKGrthAVk", "call_id": "call_EJDz0ZsP1y8hxElQKGrthAVk", "response_item_id": "fc_0d1a4d10654d56b4016a11904365b0819182a5048114ab0955", "type": "function", "function": {"name": "todo", "arguments": "{\"todos\":[{\"id\":\"research\",\"content\":\"Free/freemium KI-Video-Tools für realistischere Shorts recherchieren\",\"status\":\"in_progress\"},{\"id\":\"decide\",\"content\":\"Gratis-Workflow-Entscheidung für AutoShortsBot ableiten\",\"status\":\"pending\"},{\"id\":\"implement\",\"content\":\"Provider-/Free-Tier-Registry und Job-Specs im Repo ergänzen\",\"status\":\"pending\"},{\"id\":\"verify\",\"content\":\"Tests, Artefakte und Git-Status verifizieren\",\"status\":\"pending\"}]}"}}], "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "tool", "name": "todo", "content": "{\"todos\": [{\"id\": \"research\", \"content\": \"Free/freemium KI-Video-Tools für realistischere Shorts recherchieren\", \"status\": \"in_progress\"}, {\"id\": \"decide\", \"content\": \"Gratis-Workflow-Entscheidung für AutoShortsBot ableiten\", \"status\": \"pending\"}, {\"id\": \"implement\", \"content\": \"Provider-/Free-Tier-Registry und Job-Specs im Repo ergänzen\", \"status\": \"pending\"}, {\"id\": \"verify\", \"content\": \"Tests, Artefakte und Git-Status verifizieren\", \"status\": \"pending\"}], \"summary\": {\"total\": 4, \"pending\": 3, \"in_progress\": 1, \"completed\": 0, \"cancelled\": 0}}", "tool_call_id": "call_EJDz0ZsP1y8hxElQKGrthAVk", "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_5xnEAlvR5BPXMGOOmX6TzNcq", "call_id": "call_5xnEAlvR5BPXMGOOmX6TzNcq", "response_item_id": "fc_0d1a4d10654d56b4016a1190484b7c8191b58a083f0167feae", "type": "function", "function": {"name": "browser_navigate", "arguments": "{\"url\":\"https://www.google.com/search?q=AI+video+generator+free+tier+Pika+PixVerse+CapCut+2026\"}"}}], "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "tool", "name": "browser_navigate", "content": "{\"success\": true, \"url\": \"https://www.google.com/sorry/index?continue=https://www.google.com/search%3Fq%3DAI%2Bvideo%2Bgenerator%2Bfree%2Btier%2BPika%2BPixVerse%2BCapCut%2B2026%26sei%3DTJARasPDB9z_7_UP-p3ZQA&q=EgQfCoqVGMygxtAGIjCVzzdXGi_Ok5ebDL0GBFwvTOl6Ymde13cld8kf_A5t_sWDd3Hq0UXVCIGjk648oBYyAVJaAUM\", \"title\": \"https://www.google.com/search?q=AI+video+generator+free+tier+Pika+PixVerse+CapCut+2026&sei=TJARasPDB9z_7_UP-p3ZQA\", \"stealth_warning\": \"Running WITHOUT residential proxies. Bot detection may be more aggressive. Consider upgrading Browserbase plan for proxy support.\", \"stealth_features\": [\"local\"], \"snapshot\": \"- link \\\"Warum?\\\" [ref=e1]\\n- generic\\n  - StaticText \\\"IP-Adresse: 31.10.138.149\\\"\\n  - StaticText \\\"Uhrzeit: 2026-05-23T11:32:29Z\\\"\\n  - StaticText \\\"URL: https://www.google.com/search?q=AI+video+generator+free+tier+Pika+PixVerse+CapCut+2026&sei=TJARasPDB9z_7_UP-p3ZQA\\\"\", \"element_count\": 1}", "tool_call_id": "call_5xnEAlvR5BPXMGOOmX6TzNcq", "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqEZBSswFt1P3ojkDlPkDkeJBTOF7SVLkPv9Ppff697vTOIMRnhKg12EzsFB5Jv3zxa_zYrFxcMl_N2P5F47k5UEuZtN9B_Am68dGvk-g-Q_dQICBKpPuUVi_HBa_LSM2SdxbUpBG1WGDJaxdaC1SHQsrdF6hisRNPwcbsM3XyHoosNnGd_Rpjqc65Ny1HhcDdrkYJAspvKJN8aj_T9J-JeRFWTIbkbKm8sQg_f-QLYL-0EC0LUQnUjf4qYPtGVO1BztEs5kT-V1cCoofMdrmWhzj0LvaTKh1gCTQ-2oH5UBL_dt5TWcKQ9w510ZwnMpcFP0-uBseEZVL_5VEWZ9SeuguBfVbBVjvgmW1pZh5zHR6IvW_QmGt7nhwe10lYbDXQRmeME2qugColG9215wGT4pUWC5wv_jxh6BGp5Z1-uTU742hqZAXCfNdN81-o6ffGGXoWs4263xPEUEcRIc_648w_xUwYG_5r4BmmAg0ClULMqLS54Zoa2lltXSZSQFhjZNJhR-43gnbPXi3iTZmh2mm8JoZfjrJ46jtDIt3Fl3mGjCaZh3ommFTli617O4McwLJtFkMFnzaIKf0jGWS6HeLOYHg9vvHljy3OjE-uOzAqWBGYv8N7nttzJVKp9cXxJzhvaHyKdRwGJeXlR0Db0NuoQlZdbem042akLFuItu2PM3CIgOs3Z99VKp2qiccQGvvVRCeqyC4F3m_0BefEVrwypcObAT_-Rqyme7gzznWakLGpV6bm42wKEGKw4J9vZy5_B0ZbtzjzUe15as7TNPDEsi6kqOhbSw-eUUPdGdLaU-n2kaaA7dGQ4JhNHh1qckJr7LPrL4Z0KWLCpz9ErZk1xxQTszWo-eDgTZo8oqhZuA4MyZZ6fw9jCU-q4jt2-2ow293Qn4ix6iEA6AdP98N-fwwYuG9GPHm44Ez_TPJDaMF-EaNMofIwXMdPa-lNVRsRjQ6M5zeZugqlj4o5CQyZLA==", "id": "rs_0d1a4d10654d56b4016a119051ca988191aeb6764b835189d5", "summary": []}], "tool_calls": [{"id": "call_3cT1j4EhetqJhjCdFb9PVYZy", "call_id": "call_3cT1j4EhetqJhjCdFb9PVYZy", "response_item_id": "fc_0d1a4d10654d56b4016a11905270008191a09ad3b6a0864349", "type": "function", "function": {"name": "browser_navigate", "arguments": "{\"url\":\"https://www.perplexity.ai/search?q=AI%20video%20generator%20free%20tier%20Pika%20PixVerse%20CapCut\"}"}}], "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "tool", "name": "browser_navigate", "content": "{\"success\": true, \"url\": \"https://www.perplexity.ai/search/new?q=AI%20video%20generator%20free%20tier%20Pika%20PixVerse%20CapCut\", \"title\": \"Nur einen Moment…\", \"snapshot\": \"- main\\n  - image \\\"Symbol für www.perplexity.ai\\\"\\n  - heading \\\"www.perplexity.ai\\\" [level=1, ref=e1]\\n  - heading \\\"Sicherheitsüberprüfung wird durchgeführt\\\" [level=2, ref=e2]\\n  - paragraph\\n    - StaticText \\\"Diese Website nutzt einen Sicherheitsservice, um sich vor böswilligen Bots zu schützen. Diese Seite wird angezeigt, solange die Website überprüft, dass Sie kein Bot sind.\\\"\\n  - Iframe \\\"Widget, das eine Cloudflare-Sicherheitsüberprüfung enthält\\\" [ref=e5]\\n    - generic\\n      - link \\\"Cloudflare\\\" [ref=e6]\\n      - link \\\"Privatsphäre\\\" [ref=e7]\\n      - link \\\"Hilfe\\\" [ref=e8]\\n- contentinfo\\n  - generic\\n    - StaticText \\\"Ray ID: \\\"\\n  - link \\\"Cloudflare\\\" [ref=e3]\\n  - link \\\"Privatsphäre\\\" [ref=e4]\", \"element_count\": 8}", "tool_call_id": "call_3cT1j4EhetqJhjCdFb9PVYZy", "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "assistant", "content": "", "reasoning": "**Exploring alternatives for information**\n\nI need to find an alternative approach, using specific web pages directly for accurate information. I'll consider using a browser or a terminal curl command to access these pages. I'm particularly interested in finding current facts about CapCut AI video generator, Pika pricing, PixVerse pricing, and possibly Hailuo, along with runway. I think I should focus on official pages that list credits and other relevant details. Let's open those official sources!", "finish_reason": "tool_calls", "reasoning_content": "**Exploring alternatives for information**\n\nI need to find an alternative approach, using specific web pages directly for accurate information. I'll consider using a browser or a terminal curl command to access these pages. I'm particularly interested in finding current facts about CapCut AI video generator, Pika pricing, PixVerse pricing, and possibly Hailuo, along with runway. I think I should focus on official pages that list credits and other relevant details. Let's open those official sources!", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqEZBboAYDo3R19sN8APkcaLK30a49o8FDnCte2PY58eKckiKDq-h4UaTNF6T57COwd7lzuRn3gB0SDXsJWrKny4YuUB_rcK885K0aRVZNfPR4cORez-qm4HuHfVI4rXA52jQxAxdH_9oBhXQ9Xq5ofnV6s5Y8Nn_K17oK9HokuQ5VhaTz8RI0IORlHMUYBrFB7FVRQ1-cbAt8zrOMNJKdg3KMSIn8TrdtI4BKRAuBcN8jKD7lxb2HkXr3LpNiqEcTFKsnxVsBlv6cougazicFpqCRdHqIXlhu4Lai11aXVoBKkUpL7ame7p5TNjDKhaMkJ7KfjhSUK9dsFE43qouhWqzrvvpUXeFwGQU3RJkDxIK_s41NmclZ3JBFHk5plhpSrGWcDHCstYjr-1pMV8eG40YpbFAcGDAWoUOYyDNQWUuCvCICIE4M51NJteAnvGoCu4w6kpZbf0qMdUAayht2Ye2sr4sI6OSY1XnxxXtP8IigXR_arp2sMt2AsktqHWL8S3BLoN4uZj73hzZSytB88PGYGlws56EsOwICWsRcEwkj7KCK20tfmTWfCV3HrUwfnjArZoTrDrjgTqE9YbA75_72Ap4vRLZ0q1oW_uKXXeIdEoZkxvAr-tD58_A3g2PCgT-XD8ibJ3i-kBSpRmfiXqD8C-mTRokabKLZ5KWv3ECavKl693hsrC2wD_8ui0yCeDloG2vjxHI_KAzLgXiutv7D_4Ns-gjccDAMf4YSw_ewmawCp7o9h5eyCTkAHr2few2vLLUi8caG0s4DBOPibyojglyz2xOdMM7g0RwH2rkPNPaG4s_V1CAq4ZljMcpbsqW8muhgpMfjjmrumVJ5U1EqQtx_Zn7RQnWLw7JeNuxM-NwxXjajhgXhhmA_TczSjoosQYKeFdTgjGpiPDK86S5vybE0VO0Wi6fzBCwzmfwdw5Zo5WVznuRGWskDdWw_Ksp5J_qGEApDQSJI9qLa8zZRbA0UmHmC7KVeAWhwBZQCWwyclfoNBtHOJ5LjkwIc1PuOFYawmgad83ePIBzuQ_BSV3if9b4ne4jaqT5Dw0HC6UifC7vVM4yh7x23-BSQy_RRZlE7OXkZzt_esJizHg1DrE1hktgW1ICfep918RxavQlZxzInDmN0Kb6jVCoY9AbYarXGuL6MvB6zN5JQ6QAhPwjCzLeMREAWbBmcwMzhlGRw5cxd3HVtllE7-PgvflJ3DcOHnQNnlXQQHWNBkKlew5EXFGjb3Ag-IWggVh5lSzc1PUEDF-bvRZN9s2-iinGxvwKLWkf7aErIKdbyqAmYO6SbnYxyAbH1NqzR2buOJxQ=", "id": "rs_0d1a4d10654d56b4016a119058334c81918e2e6739f7199693", "summary": [{"type": "summary_text", "text": "**Exploring alternatives for information**\n\nI need to find an alternative approach, using specific web pages directly for accurate information. I'll consider using a browser or a terminal curl command to access these pages. I'm particularly interested in finding current facts about CapCut AI video generator, Pika pricing, PixVerse pricing, and possibly Hailuo, along with runway. I think I should focus on official pages that list credits and other relevant details. Let's open those official sources!"}]}], "tool_calls": [{"id": "call_GZqN5iJUZRjYV7WOgw8eWUrm", "call_id": "call_GZqN5iJUZRjYV7WOgw8eWUrm", "response_item_id": "fc_0d1a4d10654d56b4016a11905b765c8191ba368c92814d36cb", "type": "function", "function": {"name": "browser_navigate", "arguments": "{\"url\":\"https://pika.art/pricing\"}"}}, {"id": "call_8AxwgSUcPXB5tkb68DlRrPfi", "call_id": "call_8AxwgSUcPXB5tkb68DlRrPfi", "response_item_id": "fc_0d1a4d10654d56b4016a11905b76888191a413be6a5e801c60", "type": "function", "function": {"name": "browser_navigate", "arguments": "{\"url\":\"https://pixverse.ai/pricing\"}"}}, {"id": "call_a31wLqT0Ct8mGVwXxJm3CHdU", "call_id": "call_a31wLqT0Ct8mGVwXxJm3CHdU", "response_item_id": "fc_0d1a4d10654d56b4016a11905b769481919ec78b135958c28a", "type": "function", "function": {"name": "browser_navigate", "arguments": "{\"url\":\"https://www.capcut.com/tools/ai-video-generator\"}"}}], "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "tool", "name": "browser_navigate", "content": "{\"success\": true, \"url\": \"https://pika.art/pricing\", \"title\": \"Pika\", \"snapshot\": \"- main\\n  - generic\\n    - navigation\\n      - link \\\"home link\\\" [ref=e24]\\n        - image\\n      - list\\n        - link \\\"Careers\\\" [ref=e25]\\n        - link \\\"API\\\" [ref=e26]\\n        - link \\\"Blog\\\" [ref=e27]\\n      - link \\\"Sign In\\\" [ref=e21]\\n      - link \\\"Try Pika\\\" [ref=e22]\\n    - generic\\n      - heading \\\"SUBSCRIPTION PRICING\\\" [level=1, ref=e23]\\n      - paragraph\\n        - StaticText \\\"Pika has four plans, so you can pick what fits your needs.\\\"\\n      - generic\\n        - button \\\"Yearly -20% off\\\" [ref=e28]\\n          - StaticText \\\"Yearly\\\"\\n          - StaticText \\\"-20% off\\\"\\n        - button \\\"Monthly\\\" [ref=e29]\\n      - generic\\n        - paragraph\\n          - StaticText \\\"$0\\\"\\n        - StaticText \\\"Free\\\"\\n        - paragraph\\n          - StaticText \\\"billed yearly\\\"\\n        - heading \\\"BASIC\\\" [level=3, ref=e30]\\n        - paragraph\\n          - StaticText \\\"A perfect taste for the creatively curious\\\"\\n        - separator\\n        - image\\n        - StaticText \\\"80 monthly video credits\\\"\\n        - image\\n        - image\\n        - StaticText \\\"Access to Pika 2.5 (480p only), Pikascenes, Pikadditions, Pikaswaps, Pikatwists, Pikaffects Image-to-Video only\\\"\\n        - image\\n        - StaticText \\\"Download videos with no watermark\\\"\\n        - image\\n        - StaticText \\\"Purchase more roll over video credits\\\"\\n        - image\\n        - StaticText \\\"Commercial use\\\"\\n      - generic\\n        - paragraph\\n          - StaticText \\\"$8\\\"\\n        - StaticText \\\"/ month\\\"\\n        - paragraph\\n          - StaticText \\\"billed yearly\\\"\\n        - heading \\\"STANDARD\\\" [level=3, ref=e31]\\n        - paragraph\\n          - StaticText \\\"More videos meets more editing features\\\"\\n        - separator\\n        - image\\n        - StaticText \\\"700 monthly video credits\\\"\\n        - image\\n        - image\\n        - StaticText \\\"Access to Pika 2.5 (all resolutions), Pikaframes, Pikascenes, Pikadditions, Pikaswaps, Pikatwists, all Pikaffects\\\"\\n        - image\\n        - StaticText \\\"Fast generations\\\"\\n        - image\\n        - StaticText \\\"Purchase more roll over video credits\\\"\\n        - image\\n        - StaticText \\\"Download videos with no watermark\\\"\\n        - image\\n        - StaticText \\\"Commercial use\\\"\\n      - generic\\n        - paragraph\\n          - StaticText \\\"$28\\\"\\n        - StaticText \\\"/ month\\\"\\n        - StaticText \\\"Best value\\\"\\n        - paragraph\\n          - StaticText \\\"billed yearly\\\"\\n        - heading \\\"PRO\\\" [level=3, ref=e32]\\n        - paragraph\\n          - StaticText \\\"More speed, more videos, more fun\\\"\\n        - separator\\n        - image\\n        - StaticText \\\"2300 monthly video credits\\\"\\n        - image\\n        - image\\n        - StaticText \\\"Access to Pika 2.5 (all resolutions), Pikaframes, Pikascenes, Pikadditions, Pikaswaps, Pikatwists, all Pikaffects\\\"\\n        - image\\n        - StaticText \\\"Faster generations\\\"\\n        - image\\n        - StaticText \\\"Purchase more roll over video credits\\\"\\n        - image\\n        - StaticText \\\"Download videos with no watermark\\\"\\n        - image\\n        - StaticText \\\"Commercial use\\\"\\n      - generic\\n        - paragraph\\n          - StaticText \\\"$76\\\"\\n        - StaticText \\\"/ month\\\"\\n        - paragraph\\n          - StaticText \\\"billed yearly\\\"\\n        - heading \\\"FANCY\\\" [level=3, ref=e33]\\n        - paragraph\\n          - StaticText \\\"The crème de la creativity\\\"\\n        - separator\\n        - image\\n        - StaticText \\\"6000 monthly video credits\\\"\\n        - image\\n        - image\\n        - StaticText \\\"Access to Pika 2.5 (all resolutions), Pikaframes, Pikascenes, Pikadditions, Pikaswaps, Pikatwists, all Pikaffects\\\"\\n        - image\\n        - StaticText \\\"Fastest generations\\\"\\n        - image\\n        - StaticText \\\"Purchase more roll over video credits\\\"\\n        - image\\n        - StaticText \\\"Download videos with no watermark\\\"\\n        - image\\n        - StaticText \\\"Commercial use\\\"\\n      - image\\n      - paragraph\\n        - StaticText \\\"PIKAFFECTS\\\"\\n      - table\\n        - rowgroup\\n          - row\\n            - columnheader \\\"Type\\\" [ref=e81]\\n            - columnheader \\\"Image-to-Video\\\" [ref=e82]\\n            - columnheader \\\"Video-to-Video\\\" [ref=e83]\\n        - row\\n          - cell \\\"Duration\\\" [ref=e34]\\n          - cell \\\"5s\\\" [ref=e35]\\n        - row\\n          - cell \\\"Credits + Plan\\\" [ref=e36]\\n          - cell \\\"15 credits Free\\\" [ref=e37]\\n          - cell \\\"18 credits Paid\\\" [ref=e38]\\n      - image\\n      - paragraph\\n        - StaticText \\\"PIKASCENES\\\"\\n      - table\\n        - rowgroup\\n          - row\\n            - columnheader \\\"Quality\\\" [ref=e84]\\n            - columnheader \\\"480p\\\" [ref=e85]\\n            - columnheader \\\"720p\\\" [ref=e86]\\n            - columnheader \\\"1080p\\\" [ref=e87]\\n        - row\\n          - cell \\\"Duration\\\" [ref=e39]\\n          - cell \\\"5s\\\" [ref=e40]\\n        - row\\n          - cell \\\"Credits + Plan\\\" [ref=e41]\\n          - cell \\\"20 credits Free\\\" [ref=e42]\\n          - cell \\\"35 credits Paid\\\" [ref=e43]\\n          - cell \\\"65 credits Paid\\\" [ref=e44]\\n      - image\\n      - paragraph\\n        - StaticText \\\"PIKATWISTS\\\"\\n      - table\\n        - rowgroup\\n          - row\\n            - columnheader \\\"Model\\\" [ref=e88]\\n            - columnheader \\\"Turbo\\\" [ref=e89]\\n            - columnheader \\\"Pro\\\" [ref=e90]\\n        - row\\n          - cell \\\"Quality\\\" [ref=e45]\\n          - cell \\\"720p\\\" [ref=e46]\\n          - cell \\\"1080p\\\" [ref=e47]\\n        - row\\n          - cell \\\"Duration\\\" [ref=e48]\\n          - cell \\\"5s\\\" [ref=e49]\\n        - row\\n          - cell \\\"Credits + Plan\\\" [ref=e50]\\n          - cell \\\"60 credits Free\\\" [ref=e51]\\n          - cell \\\"80 credits Paid\\\" [ref=e52]\\n      - image\\n      - paragraph\\n        - StaticText \\\"PIKADDITIONS & PIKASWAPS\\\"\\n      - table\\n        - rowgroup\\n          - row\\n            - columnheader \\\"Quality\\\" [ref=e91]\\n            - columnheader \\\"480p\\\" [ref=e92]\\n            - columnheader \\\"720p\\\" [ref=e93]\\n            - columnheader \\\"1080p\\\" [ref=e94]\\n        - row\\n          - cell \\\"Duration\\\" [ref=e53]\\n          - cell \\\"5s\\\" [ref=e54]\\n        - row\\n          - cell \\\"Credits + Plan\\\" [ref=e55]\\n          - cell \\\"20 credits Free\\\" [ref=e56]\\n          - cell \\\"35 credits Paid\\\" [ref=e57]\\n          - cell \\\"65 credits Paid\\\" [ref=e58]\\n      - image\\n      - paragraph\\n        - StaticText \\\"TEXT-TO-VIDEO & IMAGE-TO-VIDEO\\\"\\n      - table\\n        - rowgroup\\n          - row\\n            - columnheader \\\"Quality\\\" [ref=e95]\\n            - columnheader \\\"480p\\\" [ref=e96]\\n            - columnheader \\\"720p\\\" [ref=e97]\\n            - columnheader \\\"1080p\\\" [ref=e98]\\n        - row\\n          - cell \\\"Duration\\\" [ref=e59]\\n          - cell \\\"5s 10s\\\" [ref=e60]\\n          - cell \\\"5s 10s\\\" [ref=e61]\\n          - cell \\\"5s 10s\\\" [ref=e62]\\n        - row\\n          - cell \\\"Model 2.5\\\" [ref=e63]\\n          - cell \\\"12 credits Free 24 credits Paid\\\" [ref=e64]\\n          - cell \\\"20 credits Paid 40 credits Paid\\\" [ref=e65]\\n          - cell \\\"40 credits Paid 80 credits Paid\\\" [ref=e66]\\n      - image\\n      - paragraph\\n        - StaticText \\\"PIKAFRAMES\\\"\\n      - table\\n        - rowgroup\\n          - row\\n            - columnheader \\\"Quality\\\" [ref=e99]\\n            - columnheader \\\"480p\\\" [ref=e100]\\n        - row\\n          - cell \\\"Duration\\\" [ref=e67]\\n          - cell \\\"5s 10s 10-15s 15-20s 20-25s\\\" [ref=e68]\\n        - row\\n          - cell \\\"Model 2.5\\\" [ref=e69]\\n          - cell \\\"12 credits Free 24 credits Paid 36 credits Paid 48 credits Paid 60 credits Paid\\\" [ref=e70]\\n      - table\\n        - rowgroup\\n          - row\\n            - columnheader \\\"Quality\\\" [ref=e101]\\n            - columnheader \\\"720p\\\" [ref=e102]\\n            - columnheader \\\"1080p\\\" [ref=e103]\\n        - row\\n          - cell \\\"Duration\\\" [ref=e71]\\n          - cell \\\"5s 10s 10-15s 15-20s 20-25s\\\" [ref=e72]\\n          - cell \\\"5s 10s 10-15s 15-20s 20-25s\\\" [ref=e73]\\n        - row\\n          - cell \\\"Model 2.5\\\" [ref=e74]\\n          - cell \\\"20 credits Paid 40 credits Paid 60 credits Paid 80 credits Paid 100 credits Paid\\\" [ref=e75]\\n          - cell \\\"40 credits Paid 80 credits Paid 120 credits Paid 160 credits Paid 200 credits Paid\\\" [ref=e76]\\n      - image\\n      - paragraph\\n        - StaticText \\\"PIKAFORMANCE\\\"\\n      - table\\n\\n[... 31 more lines truncated, use browser_snapshot for full content]\", \"element_count\": 105}", "tool_call_id": "call_GZqN5iJUZRjYV7WOgw8eWUrm", "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "tool", "name": "browser_navigate", "content": "{\"success\": true, \"url\": \"https://pixverse.ai/de/pricing\", \"title\": \"PixVerse | Create Amazing AI Videos from Text & Photos with AI Video Generator\", \"snapshot\": \"- generic\\n  - banner\\n    - link \\\"PixVerse\\\" [ref=e1]\\n    - button \\\"Download App\\\" [ref=e2]\\n    - button [ref=e3]\\n      - button [ref=e25]\\n    - button \\\"Login\\\" [ref=e4]\\n    - button \\\"Try PixVerse\\\" [ref=e5]\\n    - button \\\"API\\\" [ref=e6]\\n  - main\\n    - heading \\\"Page not found\\\" [level=1, ref=e7]\\n    - button \\\"Back to Home\\\" [ref=e8]\\n  - contentinfo\\n    - link \\\"PixVerse\\\" [ref=e9]\\n    - button [ref=e10]\\n    - button [ref=e11]\\n    - button [ref=e12]\\n    - button [ref=e13]\\n    - button [ref=e14]\\n    - link \\\"API Documentation\\\" [ref=e15]\\n    - link \\\"API Console\\\" [ref=e16]\\n    - link \\\"About Us\\\" [ref=e17]\\n    - link \\\"News\\\" [ref=e18]\\n    - link \\\"Join Us\\\" [ref=e19]\\n    - link \\\"Affiliate\\\" [ref=e20]\\n    - link \\\"PixVerse Web\\\" [ref=e21]\\n    - link \\\"API Solutions\\\" [ref=e22]\\n    - link \\\"support@pixverse.ai\\\" [ref=e23]\\n    - link \\\"Feedback\\\" [ref=e24]\", \"element_count\": 25}", "tool_call_id": "call_8AxwgSUcPXB5tkb68DlRrPfi", "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "tool", "name": "browser_navigate", "content": "{\"success\": true, \"url\": \"https://www.capcut.com/tools/ai-video-generator\", \"title\": \"Free AI Video Generator: Create Stunning Videos in Minutes\", \"snapshot\": \"- generic\\n  - banner\\n    - generic [ref=e4] clickable [onclick]\\n      - link [ref=e8]\\n        - image\\n    - navigation\\n      - list\\n        - listitem [level=1]\\n          - generic [ref=e42] clickable [cursor:pointer, onclick]\\n            - StaticText \\\"Products\\\"\\n            - image\\n          - navigation\\n            - list\\n              - listitem [level=2]\\n                - link \\\"CapCut Desktop CapCut Desktop Powerful editing tool\\\" [ref=e247]\\n                  - paragraph\\n                  - StaticText \\\"CapCut Desktop\\\"\\n                  - image\\n                  - paragraph\\n              - listitem [level=2]\\n                - link \\\"CapCut Online CapCut Online Online video editor\\\" [ref=e248]\\n                  - paragraph\\n                  - StaticText \\\"CapCut Online\\\"\\n                  - image\\n                  - paragraph\\n              - listitem [level=2]\\n                - link \\\"CapCut Pad CapCut Pad Edit anywhere, anytime\\\" [ref=e249]\\n                  - paragraph\\n                  - StaticText \\\"CapCut Pad\\\"\\n                  - image\\n                  - paragraph\\n              - listitem [level=2]\\n                - link \\\"CapCut Mobile CapCut Mobile Unlimited templates\\\" [ref=e250]\\n                  - paragraph\\n                  - StaticText \\\"CapCut Mobile\\\"\\n                  - image\\n                  - paragraph\\n              - listitem [level=2]\\n                - link \\\"Dreamina AI Dreamina AI Image & video maker\\\" [ref=e251]\\n                  - paragraph\\n                  - StaticText \\\"Dreamina AI\\\"\\n                  - image\\n                  - paragraph\\n              - listitem [level=2]\\n                - link \\\"Pippit AI Pippit AI Smart creative agent\\\" [ref=e252]\\n                  - paragraph\\n                  - StaticText \\\"Pippit AI\\\"\\n                  - image\\n                  - paragraph\\n        - listitem [level=1]\\n          - generic [ref=e43] clickable [cursor:pointer, onclick]\\n            - StaticText \\\"Features\\\"\\n            - image\\n          - navigation\\n            - list\\n              - listitem [level=2]\\n                - list\\n                  - listitem [level=3]\\n                  - listitem [level=3]\\n                    - link \\\"AI Design\\\" [ref=e323]\\n                  - listitem [level=3]\\n                    - link \\\"Video Studio\\\" [ref=e324]\\n                  - listitem [level=3]\\n                    - link \\\"AI video generator\\\" [ref=e325]\\n                  - listitem [level=3]\\n                    - link \\\"AI image generator\\\" [ref=e326]\\n                  - listitem [level=3]\\n                    - link \\\"AI image enhancer\\\" [ref=e327]\\n                  - listitem [level=3]\\n                    - link \\\"Dreamina Seedance 2.0\\\" [ref=e328]\\n                  - listitem [level=3]\\n                    - link \\\"Nano Banana Pro\\\" [ref=e329]\\n                  - listitem [level=3]\\n                    - link \\\"Gemini Omni\\\" [ref=e330]\\n              - listitem [level=2]\\n                - list\\n                  - listitem [level=3]\\n                  - listitem [level=3]\\n                    - link \\\"Auto captions\\\" [ref=e331]\\n                  - listitem [level=3]\\n                    - link \\\"Caption templates\\\" [ref=e332]\\n                  - listitem [level=3]\\n                    - link \\\"Speech recognition\\\" [ref=e333]\\n                  - listitem [level=3]\\n                    - link \\\"Text to speech\\\" [ref=e334]\\n                  - listitem [level=3]\\n                    - link \\\"Custom voices\\\" [ref=e335]\\n                  - listitem [level=3]\\n                    - link \\\"Enhance voice\\\" [ref=e336]\\n                  - listitem [level=3]\\n                    - link \\\"Reduce noise\\\" [ref=e337]\\n              - listitem [level=2]\\n                - list\\n                  - listitem [level=3]\\n                  - listitem [level=3]\\n                    - link \\\"Remove image BG\\\" [ref=e338]\\n                  - listitem [level=3]\\n                    - link \\\"Image merge\\\" [ref=e339]\\n                  - listitem [level=3]\\n                    - link \\\"Image Enhancer\\\" [ref=e340]\\n                  - listitem [level=3]\\n                    - link \\\"Resize Image\\\" [ref=e341]\\n                  - listitem [level=3]\\n                    - link \\\"Online Photo Editor\\\" [ref=e342]\\n                  - listitem [level=3]\\n                    - link \\\"Meme Generator\\\" [ref=e343]\\n                  - listitem [level=3]\\n                    - link \\\"AI Text Remover\\\" [ref=e344]\\n                  - listitem [level=3]\\n                    - link \\\"AI People Remover\\\" [ref=e345]\\n                  - listitem [level=3]\\n                    - link \\\"AI Inpainting\\\" [ref=e346]\\n                  - listitem [level=3]\\n                    - link \\\"Face Cutout\\\" [ref=e347]\\n              - listitem [level=2]\\n                - list\\n                  - listitem [level=3]\\n                  - listitem [level=3]\\n                    - link \\\"Remove video BG\\\" [ref=e348]\\n                  - listitem [level=3]\\n                    - link \\\"Enhance quality\\\" [ref=e349]\\n                  - listitem [level=3]\\n                    - link \\\"Video Editor\\\" [ref=e350]\\n                  - listitem [level=3]\\n                    - link \\\"Trim Video\\\" [ref=e351]\\n                  - listitem [level=3]\\n                    - link \\\"Add Subtitles To Video\\\" [ref=e352]\\n                  - listitem [level=3]\\n                    - link \\\"Video Converter\\\" [ref=e353]\\n              - listitem [level=2]\\n                - link \\\"Seedream 5.0\\\" [ref=e253]\\n                  - paragraph\\n        - listitem [level=1]\\n          - generic [ref=e44] clickable [cursor:pointer, onclick]\\n            - StaticText \\\"Blog\\\"\\n            - image\\n          - navigation\\n            - list\\n              - listitem [level=2]\\n                - list\\n                  - listitem [level=3]\\n                  - listitem [level=3]\\n                    - link \\\"AI tools\\\" [ref=e354]\\n                  - listitem [level=3]\\n                    - link \\\"Video editor & generator\\\" [ref=e355]\\n                  - listitem [level=3]\\n                    - link \\\"Image editor & generator\\\" [ref=e356]\\n                  - listitem [level=3]\\n                    - link \\\"Voice generator & editor\\\" [ref=e357]\\n                  - listitem [level=3]\\n                    - link \\\"More\\\" [ref=e358]\\n              - listitem [level=2]\\n                - list\\n                  - listitem [level=3]\\n                  - listitem [level=3]\\n                    - link \\\"Social media\\\" [ref=e359]\\n                  - listitem [level=3]\\n                    - link \\\"Marketing\\\" [ref=e360]\\n                  - listitem [level=3]\\n                    - link \\\"Lifestyle & Vlogs\\\" [ref=e361]\\n                  - listitem [level=3]\\n                    - link \\\"Custom design\\\" [ref=e362]\\n                  - listitem [level=3]\\n                    - link \\\"More\\\" [ref=e363]\\n              - listitem [level=2]\\n                - list\\n                  - listitem [level=3]\\n                  - listitem [level=3]\\n                    - link \\\"How-to guides\\\" [ref=e364]\\n                  - listitem [level=3]\\n                    - link \\\"Market Trends\\\" [ref=e365]\\n                  - listitem [level=3]\\n                    - link \\\"Top Picks\\\" [ref=e366]\\n                  - listitem [level=3]\\n                    - link \\\"Template trends & tips\\\" [ref=e367]\\n                  - listitem [level=3]\\n                    - link \\\"More\\\" [ref=e368]\\n        - listitem [level=1]\\n          - generic [ref=e45] clickable [cursor:pointer, onclick]\\n            - StaticText \\\"Templates\\\"\\n            - image\\n          - navigation\\n            - list\\n              - listitem [level=2]\\n                - list\\n                  - listitem [level=3]\\n                    - link \\\"Social media templates\\\" [ref=e369]\\n                  - listitem [level=3]\\n                    - link \\\"Holiday templates\\\" [ref=e370]\\n                  - listitem [level=3]\\n                    - link \\\"More\\\" [ref=e371]\\n              - listitem [level=2]\\n                - list\\n\\n[... 655 more lines truncated, use browser_snapshot for full content]\", \"element_count\": 386}", "tool_call_id": "call_a31wLqT0Ct8mGVwXxJm3CHdU", "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "assistant", "content": "", "reasoning": "**Considering multi-browser navigation**\n\nI'm wondering about using multiple browser tabs in parallel. It seems like the last action might overwrite previous ones, but it might still provide enough output. I should try to focus on locating PixVerse and perhaps explore the pricing root there. I need to be careful with how I navigate and confirm that each step is yielding the information I want without losing anything essential. Let's see how this unfolds!", "finish_reason": "tool_calls", "reasoning_content": "**Considering multi-browser navigation**\n\nI'm wondering about using multiple browser tabs in parallel. It seems like the last action might overwrite previous ones, but it might still provide enough output. I should try to focus on locating PixVerse and perhaps explore the pricing root there. I need to be careful with how I navigate and confirm that each step is yielding the information I want without losing anything essential. Let's see how this unfolds!", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqEZBrNkVMPkNX4OiFXEe7PrFMrgpaDU8Vpyv7GKvs85LnHIRdxo_Oq16C5sHHO4ogq9RdNgijhKrQUNi1AGgfIENEovyyRBMkwDC4LdBlNWzcLA-bqzUgeRPiztE2ceWfH8GJVm7oDLNrCcXg73ysDfeSPhKSLg_TmurY2j_v6oCZHP_qKVK42WdYhM3oBrhcrRVGLHEBe5GYk_L5RsIbq0N-SS96OPhmavU7U7xSuudEJlZN21ofWjQAvd5GRYUzYxKO0tmX4HpwrW2290xbwEh1RRY7XUhEjvp-l79JL-jrPO0MRKaDvWwhI6Z4f2IQlsRIRXaZj9NBfe6M2fZXsk1gqdKYhKxgw9-5Y6DPKOqsUIflhZhEmogQd-x5Zlo8OK8xfa1l9JzPONXUxRKgjcrjDG0WUL3Gm7j1VYiTEgYFJfE8R9GRNUkli37iobHQAI6j-DGRpd-CZPOvTuq5IHKyQCXp3os0BHbzC66-C37wK2JU8vauM1rJMM5Qe_t8aYEY4iXAza7meatbm_gsL2EBWvOWHIJ_CswQteMdDiCEmzfKxMJnj318_V2fxrHQej4MVIZ3qTEt4UNlIGDRhnYr9BGEmiWgqf1Dx0BnWfCB32sNaaRCAvMcMV65nTpSC57oC-zJ3smXpgeM339aY1CQs234KZyrQxnHoavhFXNSmJj7eV6Lv4mhb4817SrA9mhekY5F7PrBaIqtQ5Wh2-mc7EHrhar9UhlPI_I6tAFrXVzhXR6uHWJF6H_ZXzBTFx2Z8zRb5r54jXl-mUi_GBfAfG0oW8LdTuiDDoq-nqrEe83nHJOGHqWM0qZK-xMruxI0cvlpzPkUyX0vUJO-bfSL4UfeQGnIxah5eQILSNk0AGFe3ZvlFfXmZm3Mk5nxIyh0AIoPbGTrQemdpp1o0-EmyA-IJxLbEphu3WtKyAz_9Fq11PzdieB-S7OWtgMa0Z8Oia1lFLZv5cuDqGRS9TZp6KtBBSMmLdpmE7hUeJMuf7kKbwG-vHAOhdZqiuAit2yDgYf22ZgpbPTEzCMWWnp6g83ORp2wuhbgRKCMtsXvhQtIRSvTWnJc0VmY2vkAyHr1S16KpIPhkKvFUFh4oAi4gQ==", "id": "rs_0d1a4d10654d56b4016a119068c66081919fe16868de3f00c7", "summary": [{"type": "summary_text", "text": "**Considering multi-browser navigation**\n\nI'm wondering about using multiple browser tabs in parallel. It seems like the last action might overwrite previous ones, but it might still provide enough output. I should try to focus on locating PixVerse and perhaps explore the pricing root there. I need to be careful with how I navigate and confirm that each step is yielding the information I want without losing anything essential. Let's see how this unfolds!"}]}], "tool_calls": [{"id": "call_2WSHT6ZpBrx4WRjbfnIQWGVW", "call_id": "call_2WSHT6ZpBrx4WRjbfnIQWGVW", "response_item_id": "fc_0d1a4d10654d56b4016a11906b3dcc81918d93fdb59db80b12", "type": "function", "function": {"name": "browser_navigate", "arguments": "{\"url\":\"https://app.pixverse.ai/pricing\"}"}}, {"id": "call_Wn5V1FrDzZ2l2gfar7Wgvwfs", "call_id": "call_Wn5V1FrDzZ2l2gfar7Wgvwfs", "response_item_id": "fc_0d1a4d10654d56b4016a11906b3df8819184b071aaf42bafea", "type": "function", "function": {"name": "browser_navigate", "arguments": "{\"url\":\"https://pixverse.ai/\"}"}}, {"id": "call_AOLghzHwF8OhRUD1kSqD6Tj1", "call_id": "call_AOLghzHwF8OhRUD1kSqD6Tj1", "response_item_id": "fc_0d1a4d10654d56b4016a11906b3e188191b05aae1a5d8c011e", "type": "function", "function": {"name": "browser_navigate", "arguments": "{\"url\":\"https://runwayml.com/pricing/\"}"}}], "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "tool", "name": "browser_navigate", "content": "{\"success\": true, \"url\": \"https://app.pixverse.ai/\", \"title\": \"PixVerse | AI Video Generator\", \"snapshot\": \"- generic\\n  - region \\\"Notifications alt+T\\\" [ref=e1]\\n  - generic\\n    - complementary\\n      - navigation \\\"Main\\\" [ref=e2]\\n        - list\\n          - listitem [level=1, ref=e12] clickable [cursor:pointer, onclick]\\n            - link [ref=e18]\\n          - listitem [level=1, ref=e13] clickable [cursor:pointer, onclick]\\n            - link [ref=e19]\\n          - listitem [level=1, ref=e14] clickable [cursor:pointer, onclick]\\n            - link [ref=e20]\\n          - listitem [level=1, ref=e15] clickable [cursor:pointer, onclick]\\n            - link [ref=e21]\\n          - listitem [level=1, ref=e16] clickable [cursor:pointer, onclick]\\n            - link [ref=e22]\\n          - listitem [level=1, ref=e17] clickable [cursor:pointer, onclick]\\n            - link [ref=e23]\\n    - banner\\n    - banner\\n      - link [ref=e3]\\n      - button \\\"PixVerse R1\\\" [ref=e4]\\n      - button \\\"API-Plattform\\\" [ref=e5]\\n      - button \\\"Credits verdienen\\\" [ref=e6]\\n      - button \\\"Abonnieren\\\" [ref=e7]\\n        - generic [ref=e10] clickable [cursor:pointer, onclick]\\n      - button [expanded=false, ref=e8]\\n        - button [ref=e11]\\n    - main\\n      - button \\\"scroll to top\\\" [ref=e9]\", \"element_count\": 23}", "tool_call_id": "call_2WSHT6ZpBrx4WRjbfnIQWGVW", "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "tool", "name": "browser_navigate", "content": "{\"success\": true, \"url\": \"https://pixverse.ai/de\", \"title\": \"Wegweisende KI-Forschung und Produkte, die die Zukunft der Videointelligenz neu definieren | PixVerse\", \"snapshot\": \"- generic\\n  - banner\\n    - generic\\n      - link \\\"PixVerse\\\" [ref=e12]\\n      - navigation\\n        - link \\\"Forschung\\\" [ref=e49]\\n        - link \\\"Produkt\\\" [ref=e50]\\n        - link \\\"Unternehmen\\\" [ref=e51]\\n        - link \\\"Community\\\" [ref=e52]\\n        - link \\\"Neuigkeiten\\\" [ref=e53]\\n        - link \\\"Karriere\\\" [ref=e54]\\n        - link \\\"Blog\\\" [ref=e55]\\n        - link \\\"Partnerprogramm\\\" [ref=e56]\\n      - button \\\"App herunterladen\\\" [ref=e18]\\n      - button [expanded=false, ref=e19]\\n        - button [ref=e57]\\n      - button \\\"Anmelden\\\" [ref=e20]\\n      - button \\\"PixVerse ausprobieren\\\" [ref=e21]\\n      - button \\\"API\\\" [ref=e22]\\n  - main\\n    - heading \\\"Wegweisende KI-Forschung und Produkte, die die Zukunft der Videointelligenz neu definieren \\\" [level=1, ref=e23]\\n      - StaticText \\\"Wegweisende KI-Forschung\\\\nund Produkte, die die\\\\nZukunft der Videointelligenz\\\\nneu definieren\\\\n\\\"\\n    - paragraph\\n      - StaticText \\\"Videointelligenz transformiert die Art und Weise, wie visuelle Inhalte erstellt und konsumiert werden. PixVerse macht diese Vorteile für alle zugänglich und baut ein globales Video-Ökosystem auf, das grenzenlose Vorstellungskraft und Kreativität freisetzt.\\\"\\n    - Video\\n    - heading \\\"Forschung\\\" [level=2, ref=e24]\\n    - paragraph\\n      - StaticText \\\"Die Grenzen der KI-Videogenerierung erweitern\\\"\\n    - generic\\n      - image \\\"Echtzeit-Interaktive Welt-Engine\\\"\\n      - Video\\n    - heading \\\"Echtzeit-Interaktive Welt-Engine\\\" [level=3, ref=e25]\\n    - list\\n      - listitem [level=1]\\n      - listitem [level=1]\\n      - listitem [level=1]\\n      - listitem [level=1]\\n    - button \\\"Mehr erfahren\\\" [ref=e58]\\n    - generic\\n      - generic\\n        - heading \\\"Präzise Steuerung & Native Ausdruckskraft\\\" [level=4, ref=e74]\\n      - generic\\n        - heading \\\"Verbesserte Audio-Visuelle Konsistenz & Ausgabequalität\\\" [level=4, ref=e75]\\n      - generic\\n        - heading \\\"One-Click Komplettes Storytelling\\\" [level=4, ref=e76]\\n      - generic\\n        - heading \\\"Ein Vollständig Aufgerüstetes Allzweckmodell\\\" [level=4, ref=e77]\\n      - generic\\n        - heading \\\"Die Narrative Nimmt Gestalt An\\\" [level=4, ref=e78]\\n    - heading \\\"Jeder kann Regisseur sein\\\" [level=2, ref=e26]\\n    - paragraph\\n      - StaticText \\\"Wir erfüllen die neuen kreativen Anforderungen der AGI-Ära. Wir treiben die Demokratisierung der KI-Videogenerierung für Profis und Enthusiasten gleichermaßen voran.\\\"\\n    - generic [ref=e27] clickable [cursor:pointer]\\n      - generic\\n        - heading \\\"Text/Bild zu Video\\\" [level=3, ref=e94]\\n        - button \\\"features.tryNow\\\" [ref=e95]\\n    - generic [ref=e28] clickable [cursor:pointer]\\n      - generic\\n        - heading \\\"KI-Vorlagen\\\" [level=3, ref=e96]\\n        - button \\\"features.tryNow\\\" [ref=e97]\\n    - generic [ref=e29] clickable [cursor:pointer]\\n      - generic\\n        - heading \\\"MultiShot\\\" [level=3, ref=e98]\\n        - button \\\"features.tryNow\\\" [ref=e99]\\n    - generic [ref=e30] clickable [cursor:pointer]\\n      - generic\\n        - heading \\\"Agent\\\" [level=3, ref=e100]\\n        - button \\\"features.tryNow\\\" [ref=e101]\\n    - heading \\\"Lippensynchronisation & Audio\\\" [level=3, ref=e31]\\n    - paragraph\\n      - StaticText \\\"Multimodale Generierung für perfekte Lippensynchronisation und emotionsgesteuerte Charakterdarstellung.\\\"\\n    - button \\\"Jetzt testen\\\" [ref=e32]\\n      - StaticText \\\"Jetzt testen\\\"\\n    - heading \\\"Videobearbeitung\\\" [level=3, ref=e33]\\n    - paragraph\\n      - StaticText \\\"Ändern Sie Stil, Subjekte, Elemente, Hintergrund und Beleuchtung nach Belieben.\\\"\\n    - button \\\"Jetzt testen\\\" [ref=e34]\\n      - StaticText \\\"Jetzt testen\\\"\\n    - heading \\\"Multi-Frame-Kontrolle\\\" [level=3, ref=e35]\\n    - paragraph\\n      - StaticText \\\"Laden Sie Start- und Endframes hoch für präzise Kontrolle über Videotrajectorie und Übergänge.\\\"\\n    - button \\\"Jetzt testen\\\" [ref=e36]\\n      - StaticText \\\"Jetzt testen\\\"\\n    - heading \\\"Charakterreferenz\\\" [level=3, ref=e37]\\n    - paragraph\\n      - StaticText \\\"Halten Sie die Charakterkonsistenz über mehrere Aufnahmen mit einem einzigen Referenzbild aufrecht.\\\"\\n    - button \\\"Jetzt testen\\\" [ref=e38]\\n      - StaticText \\\"Jetzt testen\\\"\\n    - heading \\\"Enterprise-fähige KI-Video-Grundlagenmodelle und Lösungen mit echtem Geschäftseinfluss.\\\" [level=2, ref=e39]\\n    - paragraph\\n      - StaticText \\\"Eine Full-Stack KI-Mediengenerierungsplattform und APIs, angetrieben von proprietären Video-Foundation-Modellen, mit branchenführender Videoqualität, einem robusten und sich kontinuierlich entwickelnden Vorlagen-Ökosystem und nahezu Echtzeit-Generierung—entwickelt für zuverlässige, skalierbare, produktionsreife Workflows.\\\"\\n    - button \\\"Jetzt ausprobieren\\\" [ref=e40]\\n      - StaticText \\\"Jetzt ausprobieren\\\"\\n    - button \\\"Kontakt aufnehmen\\\" [ref=e41]\\n      - StaticText \\\"Kontakt aufnehmen\\\"\\n    - image\\n    - generic\\n      - StaticText \\\"0+\\\"\\n    - paragraph\\n      - StaticText \\\"Teams und Unternehmen weltweit vertrauen uns\\\"\\n    - paragraph\\n      - StaticText \\\"KOSTENEFFIZIENZ\\\"\\n    - paragraph\\n      - StaticText \\\"68%\\\"\\n    - paragraph\\n      - StaticText \\\"Kostenreduzierung\\\"\\n    - image\\n    - generic\\n      - StaticText \\\"0+\\\"\\n    - paragraph\\n      - StaticText \\\"Generierte Videos\\\"\\n    - image\\n    - paragraph\\n      - StaticText \\\"177+\\\"\\n    - paragraph\\n      - StaticText \\\"Bediente Länder\\\"\\n    - paragraph\\n      - StaticText \\\"GESCHWINDIGKEIT\\\"\\n    - paragraph\\n      - StaticText \\\"57%\\\"\\n    - paragraph\\n      - StaticText \\\"Schnellere Produktion\\\"\\n    - paragraph\\n      - StaticText \\\"BIS ZU\\\"\\n    - paragraph\\n      - StaticText \\\"10×\\\"\\n    - paragraph\\n      - StaticText \\\"Content-Output\\\"\\n    - generic\\n      - paragraph\\n    - heading \\\"Premium-Qualität ohne Kompromisse\\\" [level=3, ref=e42]\\n    - paragraph\\n      - StaticText \\\"Die PixVerse API vereint erstklassige visuelle Qualität, reaktionsschnelle Generierung und produktionsorientierte Kosteneffizienz in einem Stack für Teams, die produktionsreife Video-Workflows ausliefern.\\\"\\n    - StaticText \\\"MODELL\\\"\\n    - generic\\n      - StaticText \\\"ELO\\\"\\n      - button \\\"Quelle: Artificial Analysis. Höher ist besser, basierend auf Blind-Preference-Voting.\\\" [ref=e59]\\n    - generic\\n      - StaticText \\\"ERSCHWINGLICHKEIT\\\"\\n      - button \\\"Visualisiert aus dem API-Preis pro Minute. Niedrigere $/min ergeben einen längeren Balken.\\\" [ref=e60]\\n    - generic\\n      - StaticText \\\"GESCHWINDIGKEIT\\\"\\n      - button \\\"Basierend auf API-Generierungszeit-Benchmarks. Schnellere Generierung ergibt einen längeren Balken.\\\" [ref=e61]\\n    - StaticText \\\"PixVerse V6\\\"\\n    - StaticText \\\"1,343\\\"\\n    - StaticText \\\"$4.80/min\\\"\\n    - StaticText \\\".\\\"\\n    - StaticText \\\"* Grok Imagine 720p\\\"\\n    - StaticText \\\"1,333\\\"\\n    - StaticText \\\"$4.20/min\\\"\\n    - StaticText \\\".\\\"\\n    - StaticText \\\"Kling 3.0 Omni\\\"\\n    - StaticText \\\"1,298\\\"\\n    - StaticText \\\"$13.44/min\\\"\\n    - StaticText \\\".\\\"\\n    - StaticText \\\"VEO 3.1 Fast\\\"\\n    - StaticText \\\"1,291\\\"\\n    - StaticText \\\"$9.00/min\\\"\\n    - StaticText \\\".\\\"\\n    - StaticText \\\"VEO 3.1\\\"\\n    - StaticText \\\"1,246\\\"\\n    - StaticText \\\"$24.00/min\\\"\\n    - StaticText \\\".\\\"\\n    - StaticText \\\"Sora 2 Pro\\\"\\n    - StaticText \\\"1,195.5\\\"\\n    - StaticText \\\"$18.00/min\\\"\\n    - StaticText \\\".\\\"\\n    - StaticText \\\"Sora 2\\\"\\n    - StaticText \\\"1,175.4\\\"\\n    - StaticText \\\"$6.00/min\\\"\\n    - StaticText \\\".\\\"\\n    - link \\\"Artificial Analysis: Image-to-Video-Rankings, Stand 2026-04-02 0:00 PST\\\" [ref=e62]\\n    - generic\\n      - heading \\\"Erstellt mit PixVerse\\\" [level=2, ref=e63]\\n      - paragraph\\n      - generic [ref=e64] clickable [cursor:pointer, onclick]\\n        - heading \\\"We're Going Live\\\" [level=3, ref=e79]\\n      - generic [ref=e65] clickable [cursor:pointer, onclick]\\n        - heading \\\"SoulMatters\\\" [level=3, ref=e80]\\n      - generic [ref=e66] clickable [cursor:pointer, onclick]\\n        - heading \\\"Kiyosumi shirakawa\\\" [level=3, ref=e81]\\n      - generic [ref=e67] clickable [cursor:pointer, onclick]\\n        - heading \\\"Ruins\\\" [level=3, ref=e82]\\n      - button \\\"Community entdecken\\\" [ref=e83]\\n    - generic\\n      - heading \\\"Neueste Nachrichten\\\" [level=2, ref=e68]\\n      - paragraph\\n\\n[... 50 more lines truncated, use browser_snapshot for full content]\", \"element_count\": 101}", "tool_call_id": "call_Wn5V1FrDzZ2l2gfar7Wgvwfs", "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "tool", "name": "browser_navigate", "content": "{\"success\": true, \"url\": \"https://runwayml.com/pricing\", \"title\": \"AI Image and Video Pricing from $12/month | Runway AI\", \"snapshot\": \"- generic\\n  - banner\\n    - link [ref=e1]\\n      - image\\n    - navigation\\n      - list [ref=e2] clickable [cursor:pointer]\\n        - listitem [level=1]\\n          - link \\\"RESEARCH\\\" [ref=e17]\\n        - listitem [level=1]\\n          - link \\\"PRODUCT\\\" [ref=e18]\\n        - listitem [level=1]\\n          - link \\\"RESOURCES\\\" [ref=e19]\\n        - listitem [level=1]\\n          - link \\\"SOLUTIONS\\\" [ref=e20]\\n        - listitem [level=1]\\n          - link \\\"COMPANY\\\" [ref=e21]\\n    - generic\\n      - link \\\"Enterprise Sales\\\" [ref=e3]\\n      - link \\\"Log in\\\" [ref=e4]\\n      - link \\\"Try Runway\\\" [ref=e5]\\n  - generic\\n    - generic\\n      - StaticText \\\"Introducing Aleph 2.0 — our upgraded video editing model. Get 50% off Pro when you use code RUNWAY50.\\\"\\n      - link \\\"Terms.\\\" [ref=e8]\\n    - link \\\"Try Now\\\" [ref=e6]\\n  - main\\n    - heading \\\"Runway Pricing: Choose the Right Plan for You\\\" [level=1, ref=e7]\\n    - generic\\n      - generic [ref=e9] clickable [cursor:pointer, onclick]\\n      - generic [ref=e10] clickable [cursor:pointer, onclick]\\n    - generic\\n      - StaticText \\\"Free\\\"\\n      - StaticText \\\"For individuals looking to explore Runway's AI Tools and content creation features.\\\"\\n      - StaticText \\\"$0\\\"\\n      - StaticText \\\"per editor per month\\\"\\n      - StaticText \\\"free forever\\\"\\n      - generic\\n      - link \\\"Sign Up\\\" [ref=e11]\\n      - list\\n    - generic\\n      - StaticText \\\"Standard\\\"\\n      - generic\\n      - generic\\n      - StaticText \\\"per user per month\\\"\\n      - StaticText \\\"billed annually as $144\\\"\\n      - generic\\n      - link \\\"Subscribe Now\\\" [ref=e12]\\n      - list\\n    - generic\\n      - StaticText \\\"Pro\\\"\\n      - generic\\n      - generic\\n      - StaticText \\\"per user per month\\\"\\n      - StaticText \\\"billed annually as $336\\\"\\n      - generic\\n      - link \\\"Subscribe Now\\\" [ref=e13]\\n      - list\\n    - generic\\n      - StaticText \\\"Unlimited\\\"\\n      - generic\\n      - generic\\n      - StaticText \\\"per user per month\\\"\\n      - StaticText \\\"billed annually as $912\\\"\\n      - StaticText \\\"Includes 2250 credits monthly\\\"\\n      - link \\\"Subscribe Now\\\" [ref=e14]\\n      - list\\n    - generic\\n      - StaticText \\\"Enterprise\\\"\\n      - StaticText \\\"For teams and organizations that need customization, advanced security and support.\\\"\\n      - StaticText \\\"Contact Us\\\"\\n      - StaticText \\\"Scalable for large organizations\\\"\\n      - link \\\"Schedule a Demo\\\" [ref=e15]\\n      - list\\n    - generic\\n      - link \\\"Contact us\\\" [ref=e16]\\n      - StaticText \\\" for teams and custom solutions.\\\"\\n  - contentinfo\\n    - StaticText \\\"Product\\\"\\n    - list\\n      - listitem [level=1]\\n        - link \\\"Explore Examples\\\" [ref=e28]\\n      - listitem [level=1]\\n        - link \\\"Characters\\\" [ref=e29]\\n      - listitem [level=1]\\n        - link \\\"GWM-1\\\" [ref=e30]\\n      - listitem [level=1]\\n        - link \\\"General World Models\\\" [ref=e31]\\n      - listitem [level=1]\\n        - link \\\"Robotics\\\" [ref=e32]\\n      - listitem [level=1]\\n        - link \\\"Gen-4.5\\\" [ref=e33]\\n      - listitem [level=1]\\n        - link \\\"Aleph 2.0\\\" [ref=e34]\\n      - listitem [level=1]\\n        - link \\\"Act-Two\\\" [ref=e35]\\n      - listitem [level=1]\\n        - link \\\"API\\\" [ref=e36]\\n    - StaticText \\\"Initiatives\\\"\\n    - list\\n      - listitem [level=1]\\n        - link \\\"AI Summit 2026 ↗\\\" [ref=e37]\\n      - listitem [level=1]\\n        - link \\\"Studios\\\" [ref=e38]\\n      - listitem [level=1]\\n        - link \\\"AI Festival ↗\\\" [ref=e39]\\n      - listitem [level=1]\\n        - link \\\"Gen:48\\\" [ref=e40]\\n      - listitem [level=1]\\n        - link \\\"Academy ↗\\\" [ref=e41]\\n      - listitem [level=1]\\n        - link \\\"Resources\\\" [ref=e42]\\n      - listitem [level=1]\\n        - link \\\"Creative Partners Program\\\" [ref=e43]\\n      - listitem [level=1]\\n        - link \\\"Runway Builders\\\" [ref=e44]\\n    - StaticText \\\"Company\\\"\\n    - list\\n      - listitem [level=1]\\n        - link \\\"Our Research\\\" [ref=e45]\\n      - listitem [level=1]\\n        - link \\\"Publications\\\" [ref=e46]\\n      - listitem [level=1]\\n        - link \\\"Careers\\\" [ref=e47]\\n      - listitem [level=1]\\n        - link \\\"About Us\\\" [ref=e48]\\n      - listitem [level=1]\\n        - link \\\"Customer Stories\\\" [ref=e49]\\n      - listitem [level=1]\\n        - link \\\"News\\\" [ref=e50]\\n      - listitem [level=1]\\n        - link \\\"Talent Network ↗\\\" [ref=e51]\\n      - listitem [level=1]\\n        - link \\\"Safety\\\" [ref=e52]\\n    - StaticText \\\"Get Started\\\"\\n    - list\\n      - listitem [level=1]\\n        - link \\\"For Enterprises\\\" [ref=e53]\\n      - listitem [level=1]\\n        - link \\\"For Education\\\" [ref=e54]\\n      - listitem [level=1]\\n        - link \\\"Login\\\" [ref=e55]\\n      - listitem [level=1]\\n        - link \\\"Pricing\\\" [ref=e56]\\n      - listitem [level=1]\\n        - link \\\"Help Center ↗\\\" [ref=e57]\\n      - listitem [level=1]\\n        - link \\\"Data Security\\\" [ref=e58]\\n      - listitem [level=1]\\n        - link \\\"Changelog\\\" [ref=e59]\\n    - StaticText \\\"Connect\\\"\\n    - list\\n      - listitem [level=1]\\n        - link \\\"Press\\\" [ref=e60]\\n      - listitem [level=1]\\n        - link \\\"Partnerships\\\" [ref=e61]\\n      - listitem [level=1]\\n        - link \\\"Brand Guidelines\\\" [ref=e62]\\n      - listitem [level=1]\\n        - link \\\"Meetups ↗\\\" [ref=e63]\\n      - listitem [level=1]\\n        - link \\\"Twitter ↗\\\" [ref=e64]\\n      - listitem [level=1]\\n        - link \\\"Instagram ↗\\\" [ref=e65]\\n      - listitem [level=1]\\n        - link \\\"YouTube ↗\\\" [ref=e66]\\n      - listitem [level=1]\\n        - link \\\"Discord ↗\\\" [ref=e67]\\n    - image\\n    - generic\\n      - link \\\"TERMS OF USE\\\" [ref=e22]\\n      - link \\\"PRIVACY POLICY\\\" [ref=e23]\\n      - link \\\"CALIFORNIA NOTICES\\\" [ref=e24]\\n      - button \\\"Your Privacy Choices\\\" [ref=e25]\\n      - link \\\"CODE OF CONDUCT\\\" [ref=e26]\\n      - link \\\"SYSTEM STATUS\\\" [ref=e27]\", \"element_count\": 67}", "tool_call_id": "call_AOLghzHwF8OhRUD1kSqD6Tj1", "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqEZB6GT8UGFrSbg4qMGxTeAsDrhJ0ElWuhE2Z8ZEuNlDNshgHOYDHZemx5pBad_1Z_XujlUHksY7wYeefuz8uMeBFUvsVfWW-vb1JP1o_MgTB4vZeFDL8LYLstegZ7X5qXBHz91jk6SBlEU4pL_0TJnM7RAnx2skNGPzu9MX1VzpHWv5QiDWVs2YPsxew7pg9HJQhjQOarCGCxdPnDDbv3JUhotM3a_XVIJ1hpR6nM5eQsmAP4G_Nj66lTsMwJGyjk8jO4Evo5BH1yXXoYnvnsaxqOGW2SeRA-5rLAjy7BJytR06U4Vr6TXyOHnGN5Np_BskPjTdI7tQZgzZgfKKt4U2rNqzTCgB-U1rKg6kf9lERMrHE0Jcti6tunxCz02bJJWBMkE6I_5JGhughEjGxh_TkZb0sfpHzZisbSSweeasdry__TnGy59PajHdnWAqdrKzKf_8yjbqAxY6Ezgo71tkIVTDBm39xG9SN7DTLQTwX-e5_mD5wJTu8aMkJcSTYpMf-oCkNCAcIvte4FRitzw-7CnDqG1ggEsl6uUF_O9_G4pHK07wwNlkRk2L3aZy24G2uuLmdq-PIfeDwMZcwhN1mbBSblJs0ltR2eP3PdcouzhlwYipxmgeXrGPAUoqDCUDzUGxmyzppKEezsplncTuicFU8WvRvALvd0YBw_gylBf2WphTQiMipjj_FUVhmM_zU8jGqgDF8r0_BU-ifrRw0ZG9CCvbBW818oSi8OA7Fcc7LRwZXM_hP1wxWNwr_PQnT4CwCizbFkHRD4jQKoH2vzB30pYcsGd5WsMX9IOpKUN2NOLr_SQdhYG-NNyouAWlFPHvXS4PDeRSfYzeZJHZLhM4SzvUOTbE7oCP36MpbCtlLAxo8w5M_nGLJtd1DgUy5O3LwNSldtwUSnU4gsr5CGjSwLTAfdsBqDAsuK99b6pm7YtlJYx_lQJbXx2Or-2hJx-LfEgKc-8fI9n2j3MHYA3KYonGut_OtKdndcYTv91Ofy88SWgzSAr3v6vkTt7928gv_METfS_ceZGYlMx85CDiAEJbT69ExhyEQJ7k5CWffYBtTroUa8teKRBIxDbs6XX5i4QEOt54AMMi2Ul06n0XAqxv6qrCDKN1k3hGVIJgnQ_FxFvKQGKueDM6ZvqgzezjSZ3xcMupi7dX9WyJibUI5iWGDEejc5N0rfUDEjbshoCRHGFXm1equ-wLtwBN5wC-YH1CnWRdkLmhoQ52dMAC4W-xGFJyiNO_6Lrv8ZlXxzlszf7hTJ8wmquFIrP12dET1tZZzJAUXIaDRNDtRan8KHFikia_fQVYF_y3GCfMQH_2No0MZqsMgugCZSHIaHXxw72vg0rmmY4KM0icf4zBtXdQp1VZdxrS3CDkdlWYCcVtnXXQAlWMwtctBtovF_nQzDVehCpcVSrqqWvMBxOOIDPYX4sKckDl8TtF_RRhly4R98W_uQXQa8qx4zVwHurkTFM7xKRvOiow7ChXxqoX0giqAFY3cuxrscRNw35M=", "id": "rs_0d1a4d10654d56b4016a119077af0c81919a1f1cdc053fc1a7", "summary": []}], "tool_calls": [{"id": "call_4bKCeBhkQpzcYqi4AeJfGoJD", "call_id": "call_4bKCeBhkQpzcYqi4AeJfGoJD", "response_item_id": "fc_0d1a4d10654d56b4016a11907a8dfc8191932fee24dd610175", "type": "function", "function": {"name": "browser_navigate", "arguments": "{\"url\":\"https://search.brave.com/search?q=PixVerse+free+credits+pricing+AI+video\"}"}}], "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "tool", "name": "browser_navigate", "content": "{\"success\": true, \"url\": \"https://search.brave.com/search?q=PixVerse+free+credits+pricing+AI+video\", \"title\": \"Captcha - Brave Search\", \"bot_detection_warning\": \"Page title 'Captcha - Brave Search' suggests bot detection. The site may have blocked this request. Options: 1) Try adding delays between actions, 2) Access different pages first, 3) Enable advanced stealth (BROWSERBASE_ADVANCED_STEALTH=true, requires Scale plan), 4) Some sites have very aggressive bot detection that may be unavoidable.\", \"snapshot\": \"- generic\\n  - generic\\n    - link \\\"Brave logo\\\" [ref=e1]\\n      - image \\\"Brave logo\\\"\\n    - generic\\n      - image\\n      - generic\\n        - heading \\\"Es wird überprüft, dass du kein Bot bist\\\" [level=1, ref=e3]\\n        - StaticText \\\"Kurze Überprüfung, bevor Sie die Suche fortsetzen.\\\"\\n      - generic\\n        - generic\\n        - generic\\n          - button \\\"Schieberegler ziehen\\\" [ref=e4]\\n    - link \\\"Warum sehe ich das?\\\" [ref=e2]\", \"element_count\": 4}", "tool_call_id": "call_4bKCeBhkQpzcYqi4AeJfGoJD", "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqEZCApBPd4w3q_UGQqyVpbvbJVtatZOi1yWUMg4BgFJ_OYx2uiKkSCtBDzvwhVsbkJYDaMpkhMfvcNxTNOooSVfwbokQgLksEiSUbKhO_l_wvNDsai2bVpRi27938o5YOA05TgiIGrsysmVWB_VdNI_4Lc_RReJq_jQOQOJxjIGcYwtdj3WS6WuICBrrVO2Vc4WUsIcIf9Gbzyaf9Zc7aqyX7lMuyKihmh-6lqLUbEq8S9EIG7j-0p0jcHVbwRBbQEoTvtWkmvv0jniykTwd1tahijVno-3Yiw9rVXNHnXtx9HJAX2KPgTBbyzMdhVMfsf_0qwzNgmBLIlqs7ZF8HuXXYjACsXmuNqkYgIRyuIzpmgu0VK1ruExAkU8P4vP4e2gPlUMZIQDz_u5cugHYOFItnzRR6ShnB37FGsvRzD8d2i03UQOk6zrDXHwZMHIUBM2eKUNV98fYlc2hORv0qs_QE0aLrUy0SWBQFKad1KMZ3MWBfYF6aTZCGPXcTHPhaYXfuhY3O78IMKoppVotrhMXGpGtUppWFyIK0v9aZ3DF8alfPSn7ZByUO43PmuM53xRreOSnBc6MQWpJpWAtoEhAkE4IbjQpRp3uPsG5vWXYdOaN9aZ0W-hl8KHC7FplyFZ-iSSatlX0vwnFtPp8B89wrxRKfJckO3tOD5FegvoQbtd8vvG40FuTC6eRDKyMPn6-A19-Do2Ayd8RfVLARzZWvwtFAZo7Wg13riTjWUz3FOUk2PRyMoewWbhqMGRHgbPMNEu6idGPdZaDeyTK5FJsHmX74aD0JYuA2oiXSC1sTyPtdPX4FwmHFPO695esyo-c7lt-S8R2dfFLzdc5LO94vHPutNf64QsBfQkN05xB2_ppkNY0zSownlTUzL0pVbgp5Aamqgv25YCQjtHnCpjEwRR5Bday1ueVDiPwbOTyYlkf54IjUYo1E1LqL6AG1RoGrN4AAHyZxtS9jHqtDqIvOz6fEtOegof_SnC7VyQ4YvVA273mXpr67ncELHRbMipEXxYxUGNDCal7MudfRvNkk3C_RkiC3HINapj-BAR1u-Q58F0f4YSQ3XhmrFWmAUAwV_skcvfmkviX_y7s6GzZFcAUAshD__qSwzV1E4-SQA8z-bbnsk_gQt5SYgl8kPOXLmdH-_bZhVSLeDENTyk4_aFyVKMFaYJ2NtMIyNBhptxfGmEFCwIQMD6RTxtCJB8FUlIKCC8VqilIME7GN9Fog3bOfuiNdbQLxq3lQ_uWV3FRJI2PDIxGWmgUiEIIcjhUStl562Fl4h7tPbvDBGRi5zfGiNPL1RYBS0ajfyv22Kfkf82UYywcINc7pEltMmihILN3N0sKxGBfUHEEh3VmgPT0jueWeDpB8rpUiGE6lIaUU2id9XdsaGcNkr-gEeHvnuDTzqlfypaoNgemcmFHxDXF9Z1QUvVrFeaB0oz3-AwERCr6rgxbe8C57eraWuRXEMmQWhFRUrN8T9gnI76Rf7opPeftVjUEbYREM4kE0g-VTADA0BXu6nzcACV0XbobqjazGwXtPlhHGkPfqtci1EIorbSJpRzOvLlr-K9liMu6eOno0ZveTSjS2_6h43cCZeXf42gTRdolMUiVBrQOaICeJNtM9StBpd9NXQ1ctkrDH_WVdYnGWTwNN1y047E3rHvxNZ0Upx_tWtcTAKxye5Qvjq658UFMNuPLuDc417EM=", "id": "rs_0d1a4d10654d56b4016a11907dff988191a38ecc2bd4cee1d3", "summary": []}], "tool_calls": [{"id": "call_pV6mGyfpeBPZjbrDAZrcbwVJ", "call_id": "call_pV6mGyfpeBPZjbrDAZrcbwVJ", "response_item_id": "fc_0d1a4d10654d56b4016a119080c1b48191b1fae1da3f3f2a37", "type": "function", "function": {"name": "browser_navigate", "arguments": "{\"url\":\"https://www.capcut.com/tools/ai-video-generator\"}"}}], "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "tool", "name": "browser_navigate", "content": "{\"success\": true, \"url\": \"https://www.capcut.com/tools/ai-video-generator\", \"title\": \"Free AI Video Generator: Create Stunning Videos in Minutes\", \"snapshot\": \"- generic\\n  - banner\\n    - generic [ref=e4] clickable [onclick]\\n      - link [ref=e8]\\n        - image\\n    - navigation\\n      - list\\n        - listitem [level=1]\\n          - generic [ref=e42] clickable [cursor:pointer, onclick]\\n            - StaticText \\\"Products\\\"\\n            - image\\n          - navigation\\n            - list\\n              - listitem [level=2]\\n                - link \\\"CapCut Desktop CapCut Desktop Powerful editing tool\\\" [ref=e247]\\n                  - paragraph\\n                  - StaticText \\\"CapCut Desktop\\\"\\n                  - image\\n                  - paragraph\\n              - listitem [level=2]\\n                - link \\\"CapCut Online CapCut Online Online video editor\\\" [ref=e248]\\n                  - paragraph\\n                  - StaticText \\\"CapCut Online\\\"\\n                  - image\\n                  - paragraph\\n              - listitem [level=2]\\n                - link \\\"CapCut Pad CapCut Pad Edit anywhere, anytime\\\" [ref=e249]\\n                  - paragraph\\n                  - StaticText \\\"CapCut Pad\\\"\\n                  - image\\n                  - paragraph\\n              - listitem [level=2]\\n                - link \\\"CapCut Mobile CapCut Mobile Unlimited templates\\\" [ref=e250]\\n                  - paragraph\\n                  - StaticText \\\"CapCut Mobile\\\"\\n                  - image\\n                  - paragraph\\n              - listitem [level=2]\\n                - link \\\"Dreamina AI Dreamina AI Image & video maker\\\" [ref=e251]\\n                  - paragraph\\n                  - StaticText \\\"Dreamina AI\\\"\\n                  - image\\n                  - paragraph\\n              - listitem [level=2]\\n                - link \\\"Pippit AI Pippit AI Smart creative agent\\\" [ref=e252]\\n                  - paragraph\\n                  - StaticText \\\"Pippit AI\\\"\\n                  - image\\n                  - paragraph\\n        - listitem [level=1]\\n          - generic [ref=e43] clickable [cursor:pointer, onclick]\\n            - StaticText \\\"Features\\\"\\n            - image\\n          - navigation\\n            - list\\n              - listitem [level=2]\\n                - list\\n                  - listitem [level=3]\\n                  - listitem [level=3]\\n                    - link \\\"AI Design\\\" [ref=e323]\\n                  - listitem [level=3]\\n                    - link \\\"Video Studio\\\" [ref=e324]\\n                  - listitem [level=3]\\n                    - link \\\"AI video generator\\\" [ref=e325]\\n                  - listitem [level=3]\\n                    - link \\\"AI image generator\\\" [ref=e326]\\n                  - listitem [level=3]\\n                    - link \\\"AI image enhancer\\\" [ref=e327]\\n                  - listitem [level=3]\\n                    - link \\\"Dreamina Seedance 2.0\\\" [ref=e328]\\n                  - listitem [level=3]\\n                    - link \\\"Nano Banana Pro\\\" [ref=e329]\\n                  - listitem [level=3]\\n                    - link \\\"Gemini Omni\\\" [ref=e330]\\n              - listitem [level=2]\\n                - list\\n                  - listitem [level=3]\\n                  - listitem [level=3]\\n                    - link \\\"Auto captions\\\" [ref=e331]\\n                  - listitem [level=3]\\n                    - link \\\"Caption templates\\\" [ref=e332]\\n                  - listitem [level=3]\\n                    - link \\\"Speech recognition\\\" [ref=e333]\\n                  - listitem [level=3]\\n                    - link \\\"Text to speech\\\" [ref=e334]\\n                  - listitem [level=3]\\n                    - link \\\"Custom voices\\\" [ref=e335]\\n                  - listitem [level=3]\\n                    - link \\\"Enhance voice\\\" [ref=e336]\\n                  - listitem [level=3]\\n                    - link \\\"Reduce noise\\\" [ref=e337]\\n              - listitem [level=2]\\n                - list\\n                  - listitem [level=3]\\n                  - listitem [level=3]\\n                    - link \\\"Remove image BG\\\" [ref=e338]\\n                  - listitem [level=3]\\n                    - link \\\"Image merge\\\" [ref=e339]\\n                  - listitem [level=3]\\n                    - link \\\"Image Enhancer\\\" [ref=e340]\\n                  - listitem [level=3]\\n                    - link \\\"Resize Image\\\" [ref=e341]\\n                  - listitem [level=3]\\n                    - link \\\"Online Photo Editor\\\" [ref=e342]\\n                  - listitem [level=3]\\n                    - link \\\"Meme Generator\\\" [ref=e343]\\n                  - listitem [level=3]\\n                    - link \\\"AI Text Remover\\\" [ref=e344]\\n                  - listitem [level=3]\\n                    - link \\\"AI People Remover\\\" [ref=e345]\\n                  - listitem [level=3]\\n                    - link \\\"AI Inpainting\\\" [ref=e346]\\n                  - listitem [level=3]\\n                    - link \\\"Face Cutout\\\" [ref=e347]\\n              - listitem [level=2]\\n                - list\\n                  - listitem [level=3]\\n                  - listitem [level=3]\\n                    - link \\\"Remove video BG\\\" [ref=e348]\\n                  - listitem [level=3]\\n                    - link \\\"Enhance quality\\\" [ref=e349]\\n                  - listitem [level=3]\\n                    - link \\\"Video Editor\\\" [ref=e350]\\n                  - listitem [level=3]\\n                    - link \\\"Trim Video\\\" [ref=e351]\\n                  - listitem [level=3]\\n                    - link \\\"Add Subtitles To Video\\\" [ref=e352]\\n                  - listitem [level=3]\\n                    - link \\\"Video Converter\\\" [ref=e353]\\n              - listitem [level=2]\\n                - link \\\"Seedream 5.0\\\" [ref=e253]\\n                  - paragraph\\n        - listitem [level=1]\\n          - generic [ref=e44] clickable [cursor:pointer, onclick]\\n            - StaticText \\\"Blog\\\"\\n            - image\\n          - navigation\\n            - list\\n              - listitem [level=2]\\n                - list\\n                  - listitem [level=3]\\n                  - listitem [level=3]\\n                    - link \\\"AI tools\\\" [ref=e354]\\n                  - listitem [level=3]\\n                    - link \\\"Video editor & generator\\\" [ref=e355]\\n                  - listitem [level=3]\\n                    - link \\\"Image editor & generator\\\" [ref=e356]\\n                  - listitem [level=3]\\n                    - link \\\"Voice generator & editor\\\" [ref=e357]\\n                  - listitem [level=3]\\n                    - link \\\"More\\\" [ref=e358]\\n              - listitem [level=2]\\n                - list\\n                  - listitem [level=3]\\n                  - listitem [level=3]\\n                    - link \\\"Social media\\\" [ref=e359]\\n                  - listitem [level=3]\\n                    - link \\\"Marketing\\\" [ref=e360]\\n                  - listitem [level=3]\\n                    - link \\\"Lifestyle & Vlogs\\\" [ref=e361]\\n                  - listitem [level=3]\\n                    - link \\\"Custom design\\\" [ref=e362]\\n                  - listitem [level=3]\\n                    - link \\\"More\\\" [ref=e363]\\n              - listitem [level=2]\\n                - list\\n                  - listitem [level=3]\\n                  - listitem [level=3]\\n                    - link \\\"How-to guides\\\" [ref=e364]\\n                  - listitem [level=3]\\n                    - link \\\"Market Trends\\\" [ref=e365]\\n                  - listitem [level=3]\\n                    - link \\\"Top Picks\\\" [ref=e366]\\n                  - listitem [level=3]\\n                    - link \\\"Template trends & tips\\\" [ref=e367]\\n                  - listitem [level=3]\\n                    - link \\\"More\\\" [ref=e368]\\n        - listitem [level=1]\\n          - generic [ref=e45] clickable [cursor:pointer, onclick]\\n            - StaticText \\\"Templates\\\"\\n            - image\\n          - navigation\\n            - list\\n              - listitem [level=2]\\n                - list\\n                  - listitem [level=3]\\n                    - link \\\"Social media templates\\\" [ref=e369]\\n                  - listitem [level=3]\\n                    - link \\\"Holiday templates\\\" [ref=e370]\\n                  - listitem [level=3]\\n                    - link \\\"More\\\" [ref=e371]\\n              - listitem [level=2]\\n                - list\\n\\n[... 651 more lines truncated, use browser_snapshot for full content]\", \"element_count\": 386}", "tool_call_id": "call_pV6mGyfpeBPZjbrDAZrcbwVJ", "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_VRk8tfvqrFVnVAgmZdiYLMfj", "call_id": "call_VRk8tfvqrFVnVAgmZdiYLMfj", "response_item_id": "fc_0d1a4d10654d56b4016a11908c5f548191ac9f7a45c06bb15b", "type": "function", "function": {"name": "browser_console", "arguments": "{\"expression\":\"document.body.innerText.match(/.{0,80}(free|credits|AI video|video generator|watermark|pricing).{0,120}/gi)?.slice(0,30)\"}"}}], "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "tool", "name": "browser_console", "content": "{\"success\": true, \"result\": [\"AI video generator\", \"Free AI Video Generator\", \"Free AI Video Generator\", \"Generate videos instantly with CapCut's AI video maker using avatars, AI templates, and one-click text-to-video, for polished, ready-to-share content.\", \"Generate AI Video\", \"Key features of CapCut's AI video maker\", \"reate a full video by selecting a visual style and entering your script. CapCut AI video agent handles the editing, visuals, and pacing automatically, delivering a professional video with just a click.  \", \"How to make an AI video online for free with CapCut Web\", \"Step 1: Open CapCut Web and access the AI video maker\", \"Go to CapCut's official website and select \\\"AI video maker\\\"> \\\" Instant AI video\\\" from the main dashboard.  \", \"nce everything is set, click \\\"Create\\\" to let CapCut automatically generate your AI video.Add music, subtitles, or special effects to enhance your final video.Export the finished video in HD quality for free.\", \"How to make AI videos on CapCut Desktop\", \"Step 1: Launch the AI video editor\", \"Open the CapCut desktop video editor agent on your computer and select \\\"AI video maker\\\" from the homepage.   \", \"AI Video Maker YouTube Guide\", \"Leveled Up CapCut AI Video Maker + Seedream 4.0 | A Total Game-Changer\", \"CapCut’s NEW AI Video Maker Seedream 4.0 Is INSANE! How I Built a VIRAL Channel for FREE\", \"Benefits of using CapCut to generate AI videos\", \"AI video generation just got easier with CapCut's stunning unlimited media assets. Our platform offers a range of features, incl\", \"Explore the use case of CapCut's AI video maker agent\", \"Explore the use case of CapCut's AI video maker agent\", \"Our powerful AI text-to-video generator is equipped to generate phenomenal marketing videos and ads. It's like your personal assistant, helping you create the \", \"best art possible! Create and share our AI-generated videos for free.\", \"n assignment? Looking for a way to start a personal project? Let our AI text-to-video generator for free help! Create awesome videos in an instant using our AI generator for videos for free.\", \"ng about being more active on social media but can’t find enough time? CapCut’s free AI video generator is here to make your life easier. Simply type in your video idea and let our AI wizard bring it to l\", \"ife for free.\", \"What are the main usage scenarios of an AI video maker?\", \"AI video maker is perfect for making educational tutorials, news updates, self-media vlogs, business videos, etc. CapCut helps s\", \" can also create story-style videos using avatars and scene templates. CapCut’s AI video maker supports all these use cases with minimal effort and high-quality results.\", \"Is there a free AI video maker?\"], \"result_type\": \"list\"}", "tool_call_id": "call_VRk8tfvqrFVnVAgmZdiYLMfj", "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_hHR4ucHBW6jeekloRvnBpatX", "call_id": "call_hHR4ucHBW6jeekloRvnBpatX", "response_item_id": "fc_0d1a4d10654d56b4016a11908feb808191836a373b9285833f", "type": "function", "function": {"name": "browser_console", "arguments": "{\"expression\":\"document.body.innerText.split('\\\\n').filter(l=>/free|credit|watermark|HD quality|Is there a free/i.test(l)).slice(-50)\"}"}}], "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "tool", "name": "browser_console", "content": "{\"success\": true, \"result\": [\"Free AI Video Generator\", \"Free AI Video Generator\", \"How to make an AI video online for free with CapCut Web\", \"Once everything is set, click \\\"Create\\\" to let CapCut automatically generate your AI video.Add music, subtitles, or special effects to enhance your final video.Export the finished video in HD quality for free.\", \"CapCut’s NEW AI Video Maker Seedream 4.0 Is INSANE! How I Built a VIRAL Channel for FREE\", \"Our powerful AI text-to-video generator is equipped to generate phenomenal marketing videos and ads. It's like your personal assistant, helping you create the best art possible! Create and share our AI-generated videos for free.\", \"Lagging on a deadline for an assignment? Looking for a way to start a personal project? Let our AI text-to-video generator for free help! Create awesome videos in an instant using our AI generator for videos for free.\", \"Are you thinking about being more active on social media but can’t find enough time? CapCut’s free AI video generator is here to make your life easier. Simply type in your video idea and let our AI wizard bring it to life for free.\", \"Is there a free AI video maker?\", \"Yes, absolutely. CapCut prides itself on offering the most practical editing tools to our users. Our AI text-to-video maker will create videos in an instant. Simply type in your video idea and get an AI-generated video from the text for free.\", \"An AI video maker from text is a tool that allows you to simply type in your video idea in a text box, and it creates a video for you. CapCut’s AI video maker is the best tool available online for free.\", \"Yes, you can easily modify every part of your project, including text, visuals, and voice-overs. You're also free to adjust music, subtitles, effects, and pacing, so the final output matches your preferred style. With CapCut's video editor agent, every element can be fine-tuned to achieve a polished and professional finish  \", \"How to choose the best free AI video maker\", \"Look for AI-powered automation for quick video generation.Choose one with customizable templates and avatars.Ensure it offers free 1080-8K exports and flexible editing tools.Pick a platform like CapCut, which is available on the web, desktop, and phone, delivering both creativity and convenience across all your devices.\", \"Try online for free\"], \"result_type\": \"list\"}", "tool_call_id": "call_hHR4ucHBW6jeekloRvnBpatX", "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqEZCTD-YBPQwU9ib8VZ-2rUMqHY3dpMTreaVeWPBLA9qb7X92CakvUaOEN9BbUDdR5PNuEGtx08B0jeQTA4P4zvL2FIovBQWlvv7WBfgQuwz2dOKfLuCyAKdIrqgIo0z4DME3qtIraoz8seF2-O7gM608zI4Egmzqlp0obW7NZmYFR4cObQ3gM6Lo4GxbI_ica88OhkYkIEecl37IFdCaRtkEZ1EP54rII6r8qZIWA6oOzDWVV0Cpxnxz0uvpcBSJkFRu8_pA6MrxjYq-FdQ3aONZPskq6BQ9b21ybESzyJcAsZnWhDBiaAjTKsCsub5Pl8-Sp5gx2mQs5_qgvrFoWmxyfz6uh4YI1myF-2LCzyIdChM98uIBOZR8dTCm9FPTVxH38Q4IqFCNbYWpG-fhXHUm0vOCcPj9fGVbcaIN7txIRthTIcqcopJ46EYZWqY9wnVrk1xX-Lg6Y5fw3uePGmKKYeRxx2mXK98bVKr89onVBQDi7GPW8vf6F8gP1NpLiAwzjKAK1CTSwnMLf_S6NDSk_G89xF9ooU8eAoyNj9l4IQgU7whzmPvFVUCv5-Ddf3sG3D7LirRnh7YefFH73o5PnKSsVHbebJkYLO9isKJ37W3ZOEQXoeF7szvY6hznZ-5wAXoRYZppl5zLxSAv04xe46EjBJXErYiQBaMBxZUP2JTDarQR6wUQ6oRnG-EwO7HI8Zj_zU8X6rZJQj-Lo55Kfe3iVydG8f57ODCGYpzG2PhqAIW1SDDstjr1epNuOvCqwyI1rZQlefQe0aXz-SL05zwTDUYZ02GIs5aENBamxLihFWS5rZJ3NV8o5Qc6hbAHvWdmtLNh3WJzKXtM0ne-Zf1hZE-cYGMityNuwftogFPb_cpkOOpVxfPvEjnTnjDEYeehgExhh_TnN4C6UzbMOivKbe7e4QNoLSGFwPvlzUVWEmEPi4yvF7fRzvl1rytM", "id": "rs_0d1a4d10654d56b4016a11909322c88191ab8b95dc3d5c3b73", "summary": []}], "tool_calls": [{"id": "call_R5WlUFNqFbzJnrHckHDeW4xe", "call_id": "call_R5WlUFNqFbzJnrHckHDeW4xe", "response_item_id": "fc_0d1a4d10654d56b4016a119093f88c8191b151780e010ab707", "type": "function", "function": {"name": "browser_navigate", "arguments": "{\"url\":\"https://pika.art/pricing\"}"}}], "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "tool", "name": "browser_navigate", "content": "{\"success\": true, \"url\": \"https://pika.art/pricing\", \"title\": \"Pika\", \"snapshot\": \"- main\\n  - generic\\n    - navigation\\n      - link \\\"home link\\\" [ref=e24]\\n        - image\\n      - list\\n        - link \\\"Careers\\\" [ref=e25]\\n        - link \\\"API\\\" [ref=e26]\\n        - link \\\"Blog\\\" [ref=e27]\\n      - link \\\"Sign In\\\" [ref=e21]\\n      - link \\\"Try Pika\\\" [ref=e22]\\n    - generic\\n      - heading \\\"SUBSCRIPTION PRICING\\\" [level=1, ref=e23]\\n      - paragraph\\n        - StaticText \\\"Pika has four plans, so you can pick what fits your needs.\\\"\\n      - generic\\n        - button \\\"Yearly -20% off\\\" [ref=e28]\\n          - StaticText \\\"Yearly\\\"\\n          - StaticText \\\"-20% off\\\"\\n        - button \\\"Monthly\\\" [ref=e29]\\n      - generic\\n        - paragraph\\n          - StaticText \\\"$0\\\"\\n        - StaticText \\\"Free\\\"\\n        - paragraph\\n          - StaticText \\\"billed yearly\\\"\\n        - heading \\\"BASIC\\\" [level=3, ref=e30]\\n        - paragraph\\n          - StaticText \\\"A perfect taste for the creatively curious\\\"\\n        - separator\\n        - image\\n        - StaticText \\\"80 monthly video credits\\\"\\n        - image\\n        - image\\n        - StaticText \\\"Access to Pika 2.5 (480p only), Pikascenes, Pikadditions, Pikaswaps, Pikatwists, Pikaffects Image-to-Video only\\\"\\n        - image\\n        - StaticText \\\"Download videos with no watermark\\\"\\n        - image\\n        - StaticText \\\"Purchase more roll over video credits\\\"\\n        - image\\n        - StaticText \\\"Commercial use\\\"\\n      - generic\\n        - paragraph\\n          - StaticText \\\"$8\\\"\\n        - StaticText \\\"/ month\\\"\\n        - paragraph\\n          - StaticText \\\"billed yearly\\\"\\n        - heading \\\"STANDARD\\\" [level=3, ref=e31]\\n        - paragraph\\n          - StaticText \\\"More videos meets more editing features\\\"\\n        - separator\\n        - image\\n        - StaticText \\\"700 monthly video credits\\\"\\n        - image\\n        - image\\n        - StaticText \\\"Access to Pika 2.5 (all resolutions), Pikaframes, Pikascenes, Pikadditions, Pikaswaps, Pikatwists, all Pikaffects\\\"\\n        - image\\n        - StaticText \\\"Fast generations\\\"\\n        - image\\n        - StaticText \\\"Purchase more roll over video credits\\\"\\n        - image\\n        - StaticText \\\"Download videos with no watermark\\\"\\n        - image\\n        - StaticText \\\"Commercial use\\\"\\n      - generic\\n        - paragraph\\n          - StaticText \\\"$28\\\"\\n        - StaticText \\\"/ month\\\"\\n        - StaticText \\\"Best value\\\"\\n        - paragraph\\n          - StaticText \\\"billed yearly\\\"\\n        - heading \\\"PRO\\\" [level=3, ref=e32]\\n        - paragraph\\n          - StaticText \\\"More speed, more videos, more fun\\\"\\n        - separator\\n        - image\\n        - StaticText \\\"2300 monthly video credits\\\"\\n        - image\\n        - image\\n        - StaticText \\\"Access to Pika 2.5 (all resolutions), Pikaframes, Pikascenes, Pikadditions, Pikaswaps, Pikatwists, all Pikaffects\\\"\\n        - image\\n        - StaticText \\\"Faster generations\\\"\\n        - image\\n        - StaticText \\\"Purchase more roll over video credits\\\"\\n        - image\\n        - StaticText \\\"Download videos with no watermark\\\"\\n        - image\\n        - StaticText \\\"Commercial use\\\"\\n      - generic\\n        - paragraph\\n          - StaticText \\\"$76\\\"\\n        - StaticText \\\"/ month\\\"\\n        - paragraph\\n          - StaticText \\\"billed yearly\\\"\\n        - heading \\\"FANCY\\\" [level=3, ref=e33]\\n        - paragraph\\n          - StaticText \\\"The crème de la creativity\\\"\\n        - separator\\n        - image\\n        - StaticText \\\"6000 monthly video credits\\\"\\n        - image\\n        - image\\n        - StaticText \\\"Access to Pika 2.5 (all resolutions), Pikaframes, Pikascenes, Pikadditions, Pikaswaps, Pikatwists, all Pikaffects\\\"\\n        - image\\n        - StaticText \\\"Fastest generations\\\"\\n        - image\\n        - StaticText \\\"Purchase more roll over video credits\\\"\\n        - image\\n        - StaticText \\\"Download videos with no watermark\\\"\\n        - image\\n        - StaticText \\\"Commercial use\\\"\\n      - image\\n      - paragraph\\n        - StaticText \\\"PIKAFFECTS\\\"\\n      - table\\n        - rowgroup\\n          - row\\n            - columnheader \\\"Type\\\" [ref=e81]\\n            - columnheader \\\"Image-to-Video\\\" [ref=e82]\\n            - columnheader \\\"Video-to-Video\\\" [ref=e83]\\n        - row\\n          - cell \\\"Duration\\\" [ref=e34]\\n          - cell \\\"5s\\\" [ref=e35]\\n        - row\\n          - cell \\\"Credits + Plan\\\" [ref=e36]\\n          - cell \\\"15 credits Free\\\" [ref=e37]\\n          - cell \\\"18 credits Paid\\\" [ref=e38]\\n      - image\\n      - paragraph\\n        - StaticText \\\"PIKASCENES\\\"\\n      - table\\n        - rowgroup\\n          - row\\n            - columnheader \\\"Quality\\\" [ref=e84]\\n            - columnheader \\\"480p\\\" [ref=e85]\\n            - columnheader \\\"720p\\\" [ref=e86]\\n            - columnheader \\\"1080p\\\" [ref=e87]\\n        - row\\n          - cell \\\"Duration\\\" [ref=e39]\\n          - cell \\\"5s\\\" [ref=e40]\\n        - row\\n          - cell \\\"Credits + Plan\\\" [ref=e41]\\n          - cell \\\"20 credits Free\\\" [ref=e42]\\n          - cell \\\"35 credits Paid\\\" [ref=e43]\\n          - cell \\\"65 credits Paid\\\" [ref=e44]\\n      - image\\n      - paragraph\\n        - StaticText \\\"PIKATWISTS\\\"\\n      - table\\n        - rowgroup\\n          - row\\n            - columnheader \\\"Model\\\" [ref=e88]\\n            - columnheader \\\"Turbo\\\" [ref=e89]\\n            - columnheader \\\"Pro\\\" [ref=e90]\\n        - row\\n          - cell \\\"Quality\\\" [ref=e45]\\n          - cell \\\"720p\\\" [ref=e46]\\n          - cell \\\"1080p\\\" [ref=e47]\\n        - row\\n          - cell \\\"Duration\\\" [ref=e48]\\n          - cell \\\"5s\\\" [ref=e49]\\n        - row\\n          - cell \\\"Credits + Plan\\\" [ref=e50]\\n          - cell \\\"60 credits Free\\\" [ref=e51]\\n          - cell \\\"80 credits Paid\\\" [ref=e52]\\n      - image\\n      - paragraph\\n        - StaticText \\\"PIKADDITIONS & PIKASWAPS\\\"\\n      - table\\n        - rowgroup\\n          - row\\n            - columnheader \\\"Quality\\\" [ref=e91]\\n            - columnheader \\\"480p\\\" [ref=e92]\\n            - columnheader \\\"720p\\\" [ref=e93]\\n            - columnheader \\\"1080p\\\" [ref=e94]\\n        - row\\n          - cell \\\"Duration\\\" [ref=e53]\\n          - cell \\\"5s\\\" [ref=e54]\\n        - row\\n          - cell \\\"Credits + Plan\\\" [ref=e55]\\n          - cell \\\"20 credits Free\\\" [ref=e56]\\n          - cell \\\"35 credits Paid\\\" [ref=e57]\\n          - cell \\\"65 credits Paid\\\" [ref=e58]\\n      - image\\n      - paragraph\\n        - StaticText \\\"TEXT-TO-VIDEO & IMAGE-TO-VIDEO\\\"\\n      - table\\n        - rowgroup\\n          - row\\n            - columnheader \\\"Quality\\\" [ref=e95]\\n            - columnheader \\\"480p\\\" [ref=e96]\\n            - columnheader \\\"720p\\\" [ref=e97]\\n            - columnheader \\\"1080p\\\" [ref=e98]\\n        - row\\n          - cell \\\"Duration\\\" [ref=e59]\\n          - cell \\\"5s 10s\\\" [ref=e60]\\n          - cell \\\"5s 10s\\\" [ref=e61]\\n          - cell \\\"5s 10s\\\" [ref=e62]\\n        - row\\n          - cell \\\"Model 2.5\\\" [ref=e63]\\n          - cell \\\"12 credits Free 24 credits Paid\\\" [ref=e64]\\n          - cell \\\"20 credits Paid 40 credits Paid\\\" [ref=e65]\\n          - cell \\\"40 credits Paid 80 credits Paid\\\" [ref=e66]\\n      - image\\n      - paragraph\\n        - StaticText \\\"PIKAFRAMES\\\"\\n      - table\\n        - rowgroup\\n          - row\\n            - columnheader \\\"Quality\\\" [ref=e99]\\n            - columnheader \\\"480p\\\" [ref=e100]\\n        - row\\n          - cell \\\"Duration\\\" [ref=e67]\\n          - cell \\\"5s 10s 10-15s 15-20s 20-25s\\\" [ref=e68]\\n        - row\\n          - cell \\\"Model 2.5\\\" [ref=e69]\\n          - cell \\\"12 credits Free 24 credits Paid 36 credits Paid 48 credits Paid 60 credits Paid\\\" [ref=e70]\\n      - table\\n        - rowgroup\\n          - row\\n            - columnheader \\\"Quality\\\" [ref=e101]\\n            - columnheader \\\"720p\\\" [ref=e102]\\n            - columnheader \\\"1080p\\\" [ref=e103]\\n        - row\\n          - cell \\\"Duration\\\" [ref=e71]\\n          - cell \\\"5s 10s 10-15s 15-20s 20-25s\\\" [ref=e72]\\n          - cell \\\"5s 10s 10-15s 15-20s 20-25s\\\" [ref=e73]\\n        - row\\n          - cell \\\"Model 2.5\\\" [ref=e74]\\n          - cell \\\"20 credits Paid 40 credits Paid 60 credits Paid 80 credits Paid 100 credits Paid\\\" [ref=e75]\\n          - cell \\\"40 credits Paid 80 credits Paid 120 credits Paid 160 credits Paid 200 credits Paid\\\" [ref=e76]\\n      - image\\n      - paragraph\\n        - StaticText \\\"PIKAFORMANCE\\\"\\n      - table\\n\\n[... 31 more lines truncated, use browser_snapshot for full content]\", \"element_count\": 105}", "tool_call_id": "call_R5WlUFNqFbzJnrHckHDeW4xe", "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_HZtzuV7yPywrSta8uZpNQoAG", "call_id": "call_HZtzuV7yPywrSta8uZpNQoAG", "response_item_id": "fc_0d1a4d10654d56b4016a1190984d3c8191a51fbe87b4816754", "type": "function", "function": {"name": "browser_console", "arguments": "{\"expression\":\"Array.from(document.querySelectorAll('body *')).map(e=>e.innerText).filter(Boolean).join('\\\\n').match(/.{0,100}(80 monthly|480p|12 credits Free|Commercial use|no watermark|Text-to-Video).{0,100}/g)?.slice(0,20)\"}"}}], "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "tool", "name": "browser_console", "content": "{\"success\": true, \"result\": [\"80 monthly video credits\", \"Access to Pika 2.5 (480p only), Pikascenes, Pikadditions, Pikaswaps, Pikatwists, Pikaffects Image-to-Video only\", \"Download videos with no watermark\", \"Commercial use\", \"Download videos with no watermark\", \"Commercial use\", \"Download videos with no watermark\", \"Commercial use\", \"Download videos with no watermark\", \"Commercial use\", \"Quality\\t480p\\t720p\\t1080p\", \"Quality\\t480p\\t720p\\t1080p\", \"Quality\\t480p\\t720p\\t1080p\", \"Quality\\t480p\", \"80 monthly video credits\", \"Access to Pika 2.5 (480p only), Pikascenes, Pikadditions, Pikaswaps, Pikatwists, Pikaffects Image-to-Video only\", \"Download videos with no watermark\", \"Commercial use\", \"Download videos with no watermark\", \"Commercial use\"], \"result_type\": \"list\"}", "tool_call_id": "call_HZtzuV7yPywrSta8uZpNQoAG", "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqEZCdBa9gbvA5_UA-FNLXEZv9F9GkvmM8UCp-ZqdbUcf_EAIP76UdeoLn9hRsLi1A-x7kNrL7msqWP1HPqEGmvH5FRR-AfvHteN7zjMaaXmN2_-Y0HC1bVvl5qWqZwaULK4mJwNHPDWTDoHSdPA60gXZsXiJGfli-KWN2etsDMH9rmKh_jhXCN5O3Wjz7621ObyOZKaCdTCc0Q6b3w6U-w8TpePtcq5pZcvWi_acJygFowWKOaJdhfsVxR-kDG8b_hb2u4wS-iFCuD5aUgniOaOTaFD1Xm8BWq5ioipv7F-ySpOZoxd0nZ6EX43PnOTcZj6WzRqlEd3zvb9CCSFjF-mFUMpUZlMewM__HcpplLhigqo9nkvG3vLgSZwkMuwBxhAXMWurfQmhahm7TGzWfjGZ5HHAnuSu2T44GmiafJ5LboZPBbGFfxIkJmywS17exJZlNOfeatKofYSB_bDoHaADllVGFhHO8fREst-JfRGBZiaEoz4e2VcDF0dDSZyTpUa4pGflLtGjLHZ1zP9kzojEkqwJOQ996xkRkzLjrqPwYICAtQ4VIEzx1v2cavyaRyyfHmgVoQtRZ3SDcJ_H5pHMMqcWO9VzfNDef1ARhB3emnEA8qlxS_iw7BP5GZPPLiYVbKzH_kJKHrMiI4rCzuTe_uA37Ae5I4zP4gBsgFaPHY3P4P_5_CsMU27yrKHq5cItF_NO0JGixvq97pzSI1sN-bebL72V2O0enJibAuWjLM5dv47glL4Lu3r21z56If4Uxk8k7p-Me-5SxZ3tirlXC1AbeLLmrcxzWBZ-HaTTZ8TLgzNBIi093K-zUQzkHj_dPWxThUYrAxJPwOq4dK0GXOeNO6MaW6lqxOOqNZ9py4hcVUx19Tp87yZhDp-FxJldizUOOkww1Inl89e4tON5NrSW11MDK_IBl-bNAdsfWmVDkNNHdkrbBLrFFphmbr68D73hskNB2OqSywN6sWMWgKzY5ydl3GohGLIaxi-M1_ENn0KqpRYNnYRssJsE_tJZ2", "id": "rs_0d1a4d10654d56b4016a11909c8bc481918548d75b7a966e09", "summary": []}], "tool_calls": [{"id": "call_81cxqNuwd1InmB0KMOAMCMAY", "call_id": "call_81cxqNuwd1InmB0KMOAMCMAY", "response_item_id": "fc_0d1a4d10654d56b4016a11909d3e448191ab6ac99a8f62f9aa", "type": "function", "function": {"name": "browser_navigate", "arguments": "{\"url\":\"https://app.pixverse.ai/\"}"}}], "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "tool", "name": "browser_navigate", "content": "{\"success\": true, \"url\": \"https://app.pixverse.ai/\", \"title\": \"PixVerse | Create Amazing AI Videos from Text & Photos with AI Video Generator\", \"snapshot\": \"- generic\\n  - region \\\"Notifications alt+T\\\" [ref=e1]\\n  - generic\\n    - complementary\\n      - navigation \\\"Main\\\" [ref=e2]\\n        - list\\n          - listitem [level=1, ref=e19] clickable [cursor:pointer, onclick]\\n            - link [ref=e26]\\n          - listitem [level=1, ref=e20] clickable [cursor:pointer, onclick]\\n            - link [ref=e27]\\n          - listitem [level=1, ref=e21] clickable [cursor:pointer, onclick]\\n            - link [ref=e28]\\n          - listitem [level=1, ref=e22] clickable [cursor:pointer, onclick]\\n            - link [ref=e29]\\n          - listitem [level=1, ref=e23] clickable [cursor:pointer, onclick]\\n            - link [ref=e30]\\n          - listitem [level=1, ref=e24] clickable [cursor:pointer, onclick]\\n            - link [ref=e31]\\n    - banner\\n    - banner\\n      - link [ref=e3]\\n      - button \\\"PixVerse R1\\\" [ref=e4]\\n        - StaticText \\\"PixVerse R1\\\"\\n      - button \\\"API-Plattform\\\" [ref=e5]\\n        - StaticText \\\"API-Plattform\\\"\\n      - button [ref=e6]\\n      - button \\\"Credits verdienen\\\" [ref=e7]\\n        - StaticText \\\"Credits verdienen\\\"\\n      - button \\\"Abonnieren\\\" [ref=e8]\\n        - generic [ref=e12] clickable [cursor:pointer, onclick]\\n          - StaticText \\\"Abonnieren\\\"\\n      - button [expanded=false, ref=e9]\\n        - button [ref=e13]\\n      - button \\\"Anmelden\\\" [ref=e10]\\n        - StaticText \\\"Anmelden\\\"\\n    - main\\n      - generic\\n        - StaticText \\\"90\\\"\\n        - StaticText \\\"Täglich aktualisieren\\\"\\n        - StaticText \\\"Jetzt registrieren und kostenlose Credits erhalten\\\"\\n        - generic [ref=e18] clickable [cursor:pointer, onclick]\\n          - StaticText \\\"Guthaben erhalten\\\"\\n      - tablist\\n        - tab \\\"Video Video\\\" [selected, ref=e14]\\n          - generic\\n            - StaticText \\\"Video\\\"\\n            - StaticText \\\"Video\\\"\\n        - tab \\\"Vorlagen Vorlagen\\\" [ref=e15]\\n          - generic\\n            - StaticText \\\"Vorlagen\\\"\\n            - StaticText \\\"Vorlagen\\\"\\n        - tab \\\"Challenge Challenge\\\" [ref=e16]\\n          - generic\\n            - StaticText \\\"Challenge\\\"\\n            - StaticText \\\"Challenge\\\"\\n      - tabpanel \\\"Video Video\\\" [ref=e17] focusable [tabindex]\\n        - tablist\\n          - generic\\n            - tab \\\"Alles Alles\\\" [selected, ref=e35]\\n              - generic\\n                - StaticText \\\"Alles\\\"\\n                - StaticText \\\"Alles\\\"\\n            - tab \\\"🏁F1 Pit Fangshot 🏁F1 Pit Fangshot\\\" [ref=e36]\\n              - generic\\n                - StaticText \\\"🏁F1 Pit Fangshot\\\"\\n                - StaticText \\\"🏁F1 Pit Fangshot\\\"\\n            - tab \\\"📸Fangfoto von der Tribüne 📸Fangfoto von der Tribüne\\\" [ref=e37]\\n              - generic\\n                - StaticText \\\"📸Fangfoto von der Tribüne\\\"\\n                - StaticText \\\"📸Fangfoto von der Tribüne\\\"\\n            - tab \\\"🔔GPT-image2 🔔GPT-image2\\\" [ref=e38]\\n              - generic\\n                - StaticText \\\"🔔GPT-image2\\\"\\n                - StaticText \\\"🔔GPT-image2\\\"\\n            - tab \\\"⚡️V6 Power-Up ⚡️V6 Power-Up\\\" [ref=e39]\\n              - generic\\n                - StaticText \\\"⚡️V6 Power-Up\\\"\\n                - StaticText \\\"⚡️V6 Power-Up\\\"\\n            - tab \\\"Werbezauber Werbezauber\\\" [ref=e40]\\n              - generic\\n                - StaticText \\\"Werbezauber\\\"\\n                - StaticText \\\"Werbezauber\\\"\\n            - tab \\\"Filmische Erzählung Filmische Erzählung\\\" [ref=e41]\\n              - generic\\n                - StaticText \\\"Filmische Erzählung\\\"\\n                - StaticText \\\"Filmische Erzählung\\\"\\n            - tab \\\"Stilistische Kunst Stilistische Kunst\\\" [ref=e42]\\n              - generic\\n                - StaticText \\\"Stilistische Kunst\\\"\\n                - StaticText \\\"Stilistische Kunst\\\"\\n            - tab \\\"Viral Fall Viral Fall\\\" [ref=e43]\\n              - generic\\n                - StaticText \\\"Viral Fall\\\"\\n                - StaticText \\\"Viral Fall\\\"\\n            - tab \\\"Tierbühne Tierbühne\\\" [ref=e44]\\n              - generic\\n                - StaticText \\\"Tierbühne\\\"\\n                - StaticText \\\"Tierbühne\\\"\\n            - tab \\\"Effekt-Rendern Effekt-Rendern\\\" [ref=e45]\\n              - generic\\n                - StaticText \\\"Effekt-Rendern\\\"\\n                - StaticText \\\"Effekt-Rendern\\\"\\n            - tab \\\"Digitale Avatare Digitale Avatare\\\" [ref=e46]\\n              - generic\\n                - StaticText \\\"Digitale Avatare\\\"\\n                - StaticText \\\"Digitale Avatare\\\"\\n            - tab \\\"Bildung & Lernen Bildung & Lernen\\\" [ref=e47]\\n              - generic\\n                - StaticText \\\"Bildung & Lernen\\\"\\n                - StaticText \\\"Bildung & Lernen\\\"\\n            - tab \\\"Anime & Gaming Anime & Gaming\\\" [ref=e48]\\n              - generic\\n                - StaticText \\\"Anime & Gaming\\\"\\n                - StaticText \\\"Anime & Gaming\\\"\\n            - tab \\\"Emotionale Nahaufnahme Emotionale Nahaufnahme\\\" [ref=e49]\\n              - generic\\n                - StaticText \\\"Emotionale Nahaufnahme\\\"\\n                - StaticText \\\"Emotionale Nahaufnahme\\\"\\n        - tabpanel \\\"Alles Alles\\\"\\n        - generic\\n          - generic [ref=e50] clickable [cursor:pointer, onclick]\\n            - generic [ref=e86] clickable [cursor:pointer, onclick]\\n              - generic [ref=e125] clickable [cursor:pointer, onclick]\\n                - generic\\n                  - image [ref=e129] clickable [cursor:pointer, onclick]\\n            - generic [ref=e87] clickable [cursor:pointer, onclick]\\n            - generic [ref=e88] clickable [cursor:pointer, onclick]\\n            - generic [ref=e89] clickable [cursor:pointer, onclick]\\n            - generic [ref=e90] clickable [cursor:pointer, onclick]\\n            - generic [ref=e91] clickable [cursor:pointer, onclick]\\n            - generic [ref=e92] clickable [cursor:pointer, onclick]\\n            - generic\\n              - button [ref=e93]\\n              - button [ref=e94]\\n          - generic [ref=e51] clickable [cursor:pointer, onclick]\\n            - StaticText \\\"Offiziell\\\"\\n            - image\\n            - generic\\n              - Video\\n          - generic [ref=e52] clickable [cursor:pointer, onclick]\\n            - generic [ref=e95] clickable [cursor:pointer, onclick]\\n              - generic\\n                - image\\n          - generic [ref=e53] clickable [cursor:pointer, onclick]\\n            - generic [ref=e96] clickable [cursor:pointer, onclick]\\n              - generic\\n                - StaticText \\\"Zwei auf der Tribüne\\\"\\n                - image\\n          - generic [ref=e54] clickable [cursor:pointer, onclick]\\n            - generic [ref=e97] clickable [cursor:pointer, onclick]\\n              - generic\\n                - image\\n          - generic [ref=e55] clickable [cursor:pointer, onclick]\\n            - generic [ref=e98] clickable [cursor:pointer, onclick]\\n              - generic\\n                - image\\n          - generic [ref=e56] clickable [cursor:pointer, onclick]\\n            - generic [ref=e99] clickable [cursor:pointer, onclick]\\n              - generic\\n                - StaticText \\\"Tribünen-Kamera-Aufnahme\\\"\\n                - image\\n          - generic [ref=e57] clickable [cursor:pointer, onclick]\\n            - generic [ref=e100] clickable [cursor:pointer, onclick]\\n              - generic\\n                - image\\n          - generic [ref=e58] clickable [cursor:pointer, onclick]\\n            - generic [ref=e101] clickable [cursor:pointer, onclick]\\n              - generic\\n                - generic\\n                - image\\n          - generic [ref=e59] clickable [cursor:pointer, onclick]\\n            - generic [ref=e102] clickable [cursor:pointer, onclick]\\n              - generic\\n                - image\\n          - generic [ref=e60] clickable [cursor:pointer, onclick]\\n            - generic [ref=e103] clickable [cursor:pointer, onclick]\\n              - generic\\n                - StaticText \\\"K-Baseball Sprint\\\"\\n                - image\\n          - generic [ref=e61] clickable [cursor:pointer, onclick]\\n            - generic [ref=e104] clickable [cursor:pointer, onclick]\\n              - generic\\n                - image\\n\\n[... 111 more lines truncated, use browser_snapshot for full content]\", \"element_count\": 129}", "tool_call_id": "call_81cxqNuwd1InmB0KMOAMCMAY", "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "assistant", "content": "", "reasoning": "**Evaluating video tool options**\n\nPixVerse offers 90 free daily refresh credits, which is great. I suspect Pika might work without an account, but I need to check if it has an API. For CapCut, I need to figure out the manual process since there are no credit details. It seems I should establish a process for using these free providers effectively, including a workflow for exports and external AI video job specifications. Additionally, I need to look into my code repository to track changes and implement new tests, maybe using TDD again.", "finish_reason": "tool_calls", "reasoning_content": "**Evaluating video tool options**\n\nPixVerse offers 90 free daily refresh credits, which is great. I suspect Pika might work without an account, but I need to check if it has an API. For CapCut, I need to figure out the manual process since there are no credit details. It seems I should establish a process for using these free providers effectively, including a workflow for exports and external AI video job specifications. Additionally, I need to look into my code repository to track changes and implement new tests, maybe using TDD again.", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqEZCspLEdNydgzdDJsLIYYSbIjqHLPvBxpRIQB-ziM6IoFNKBC3iHMqrlmlN4WgUIu3273eFisI0IX04H8uMTJZ7BhyQEVP5ieXNM6znl-Uxr14bz1PuouzRnIaxqZisni5Z6FGRNP7-f0Q8_6yOakIOw-Hb1EfxesGna0kJwoL9hIu_zPDin1kNKyHZuYoeF_NeJd7dMRJOE9ZKlfFjVx3rPUIb9b4rCTQG9OE24X1w8Ar-MQY515Yl2RoqVHct3FcFY442zVLC7bKoDWdfzCYB9rMofjnEfTdN3CdHCDkz788fR_tASnM7oxCAWe6JOWFplIJOPR3hMyRmzMqfUg4wwPiUmAEeLdjikF8XA9d0g1OeQCWq5_DT8N4xVdEJ-2BBW4pT4CAKi9N1KtBOB0_jTf19AYDAAlsL86Qwassf4-v39gU6bCUR1ueuoIpSVRuSfZ9BxMdqdvF-g280lJEkdRlSDsumw2eL049R6aYXb58X0-U3wP4u1bXVvs_kARlnykFb_jJLQLhbEdgP_tCAAQ7WuTOnFLQlgmjEPFiWlrmVQLcTbn66zVp-d_OaKn4x_lSSNUBilOn3JzNx9ODKhCPPRrqsyZAEmbhfCcXBjznQvSDk8z97iAvLMkHAagRQaUi-qCpDnpUkyMm3NR2QYXv4HK2ume0Stngvjo1sAw7qggPTr4GwlYsYfyQHEVpcUQ8eWdx1oKanIrM8mNrLQme0CovwgPF_x6YUxprSAx2jZJ7qRq6v12ykRbG2Kn6BygkrSrd9elJZ0X2BfiqIVqhxHNyGJ_Y22VQTHTQAnpyGyqcHU2lCNhvrCkLv0Y8qz7wOHp4Mr3hSP7GRWKntieX_mQD9MKdprLDrh3OzaCHxXuZufiC_EtTJ0vSZUBs9mwGRqKzuNzDl-rB_l8M07lk2DyEPWLMQ0lGhonMc9rfY3Wv_NGMA8xGcGgwHwzj3okO-thR87ci57n4k_boGQrHGfQT8WCr9Y_a_O077PEqMCO_UFybxX9a558B8LRLGlN659TznrbIrKICYdub5ZWEtBwuuED8AZ6wntzPEYB5yjCx_x_spzCc2BdCVL7MYYHV4WwGA16XZPXQvz_TeqhtqIxf7GGFR0nYnh4oUsK8nRb3EO5fJZaspaFYd8vqatvyCKAfd4d6bAxO4MA8ewY3zNGLJIBqI47v5l1wYZByvx8UcJ_TmMqgC3Mdk0Dk3ap4CIMiXNXABzfuxHP9HVV4FdxZpVHj89hXlXe-0vwKpQQu79dc_N5V4-Rv4GowoOLlaikdwl1eiI91qVzLMYthvqEyjL1n9gwxXkmMDEm4Av-j1A89pnEbBvmxTzaMq9B2Euqb6Kwe7gCJ7h46JZrQX7d_1FL0vdng7LVB2j08QUyu8fF_EKp-yMCdL2xWkzBepKB3aL-xinUN_QUn_L-ooLWtBVtbbX0OS6e_VWtXCVWE0WN80VQbawLCcZ_xvVOetuMlKTGHXLbC99EAaIfRKdfBpH38xFfn9rsexjBAxzYYHknFgsZyVIajGneD10sSaywxppcUb8h8Q7fNnFvySX0yvL9sBAjFNXzfrcd5NnWVcujM6DyKDGowHvMrUEiD9L8zKxFoebsBvGewbz5rIJp_YEWD-VtXvrZjo6ZkIwqGTixJRi_F1pTxSv6oepFpgqi1UIdFbmdThXDQ7hVO3dkBEGSXu2WjkQ0vlpfOkKJWdh_kuy_K8nkYHh_CLst1eWTL2mRwuOYtaiozDSDFDDjLGgULYWENEtkM0Gk_1vlERlPFGnp5LFMLcI1tMu8t2hWijp2a_t6jb2aCvItHN3i9IN3V9kxvgb60m_Tp5jYYdtfIU0fl64Zy1NAHLm16dwLBlHqw2s4AIw0HmBQw==", "id": "rs_0d1a4d10654d56b4016a1190a4a128819198ce5df3e89f908c", "summary": [{"type": "summary_text", "text": "**Evaluating video tool options**\n\nPixVerse offers 90 free daily refresh credits, which is great. I suspect Pika might work without an account, but I need to check if it has an API. For CapCut, I need to figure out the manual process since there are no credit details. It seems I should establish a process for using these free providers effectively, including a workflow for exports and external AI video job specifications. Additionally, I need to look into my code repository to track changes and implement new tests, maybe using TDD again."}]}], "tool_calls": [{"id": "call_Y69A14B8rEVESv8sXl2VsZgW", "call_id": "call_Y69A14B8rEVESv8sXl2VsZgW", "response_item_id": "fc_0d1a4d10654d56b4016a1190ac8ca88191aff7af425869cd30", "type": "function", "function": {"name": "skill_view", "arguments": "{\"name\":\"test-driven-development\"}"}}], "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "tool", "name": "skill_view", "content": "{\"success\": true, \"name\": \"test-driven-development\", \"description\": \"TDD: enforce RED-GREEN-REFACTOR, tests before code.\", \"tags\": [\"testing\", \"tdd\", \"development\", \"quality\", \"red-green-refactor\"], \"related_skills\": [\"systematic-debugging\", \"writing-plans\", \"subagent-driven-development\"], \"content\": \"---\\nname: test-driven-development\\ndescription: \\\"TDD: enforce RED-GREEN-REFACTOR, tests before code.\\\"\\nversion: 1.1.0\\nauthor: Hermes Agent (adapted from obra/superpowers)\\nlicense: MIT\\nplatforms: [linux, macos, windows]\\nmetadata:\\n  hermes:\\n    tags: [testing, tdd, development, quality, red-green-refactor]\\n    related_skills: [systematic-debugging, writing-plans, subagent-driven-development]\\n---\\n\\n# Test-Driven Development (TDD)\\n\\n## Overview\\n\\nWrite the test first. Watch it fail. Write minimal code to pass.\\n\\n**Core principle:** If you didn't watch the test fail, you don't know if it tests the right thing.\\n\\n**Violating the letter of the rules is violating the spirit of the rules.**\\n\\n## When to Use\\n\\n**Always:**\\n- New features\\n- Bug fixes\\n- Refactoring\\n- Behavior changes\\n\\n**Exceptions (ask the user first):**\\n- Throwaway prototypes\\n- Generated code\\n- Configuration files\\n\\nThinking \\\"skip TDD just this once\\\"? Stop. That's rationalization.\\n\\n## The Iron Law\\n\\n```\\nNO PRODUCTION CODE WITHOUT A FAILING TEST FIRST\\n```\\n\\nWrite code before the test? Delete it. Start over.\\n\\n**No exceptions:**\\n- Don't keep it as \\\"reference\\\"\\n- Don't \\\"adapt\\\" it while writing tests\\n- Don't look at it\\n- Delete means delete\\n\\nImplement fresh from tests. Period.\\n\\n## Red-Green-Refactor Cycle\\n\\n### RED — Write Failing Test\\n\\nWrite one minimal test showing what should happen.\\n\\n**Good test:**\\n```python\\ndef test_retries_failed_operations_3_times():\\n    attempts = 0\\n    def operation():\\n        nonlocal attempts\\n        attempts += 1\\n        if attempts < 3:\\n            raise Exception('fail')\\n        return 'success'\\n\\n    result = retry_operation(operation)\\n\\n    assert result == 'success'\\n    assert attempts == 3\\n```\\nClear name, tests real behavior, one thing.\\n\\n**Bad test:**\\n```python\\ndef test_retry_works():\\n    mock = MagicMock()\\n    mock.side_effect = [Exception(), Exception(), 'success']\\n    result = retry_operation(mock)\\n    assert result == 'success'  # What about retry count? Timing?\\n```\\nVague name, tests mock not real code.\\n\\n**Requirements:**\\n- One behavior per test\\n- Clear descriptive name (\\\"and\\\" in name? Split it)\\n- Real code, not mocks (unless truly unavoidable)\\n- Name describes behavior, not implementation\\n\\n### Verify RED — Watch It Fail\\n\\n**MANDATORY. Never skip.**\\n\\n```bash\\n# Use terminal tool to run the specific test\\npytest tests/test_feature.py::test_specific_behavior -v\\n```\\n\\nConfirm:\\n- Test fails (not errors from typos)\\n- Failure message is expected\\n- Fails because the feature is missing\\n\\n**Test passes immediately?** You're testing existing behavior. Fix the test.\\n\\n**Test errors?** Fix the error, re-run until it fails correctly.\\n\\n### GREEN — Minimal Code\\n\\nWrite the simplest code to pass the test. Nothing more.\\n\\n**Good:**\\n```python\\ndef add(a, b):\\n    return a + b  # Nothing extra\\n```\\n\\n**Bad:**\\n```python\\ndef add(a, b):\\n    result = a + b\\n    logging.info(f\\\"Adding {a} + {b} = {result}\\\")  # Extra!\\n    return result\\n```\\n\\nDon't add features, refactor other code, or \\\"improve\\\" beyond the test.\\n\\n**Cheating is OK in GREEN:**\\n- Hardcode return values\\n- Copy-paste\\n- Duplicate code\\n- Skip edge cases\\n\\nWe'll fix it in REFACTOR.\\n\\n### Verify GREEN — Watch It Pass\\n\\n**MANDATORY.**\\n\\n```bash\\n# Run the specific test\\npytest tests/test_feature.py::test_specific_behavior -v\\n\\n# Then run ALL tests to check for regressions\\npytest tests/ -q\\n```\\n\\nConfirm:\\n- Test passes\\n- Other tests still pass\\n- Output pristine (no errors, warnings)\\n\\n**Test fails?** Fix the code, not the test.\\n\\n**Other tests fail?** Fix regressions now.\\n\\n### REFACTOR — Clean Up\\n\\nAfter green only:\\n- Remove duplication\\n- Improve names\\n- Extract helpers\\n- Simplify expressions\\n\\nKeep tests green throughout. Don't add behavior.\\n\\n**If tests fail during refactor:** Undo immediately. Take smaller steps.\\n\\n### Repeat\\n\\nNext failing test for next behavior. One cycle at a time.\\n\\n## Why Order Matters\\n\\n**\\\"I'll write tests after to verify it works\\\"**\\n\\nTests written after code pass immediately. Passing immediately proves nothing:\\n- Might test the wrong thing\\n- Might test implementation, not behavior\\n- Might miss edge cases you forgot\\n- You never saw it catch the bug\\n\\nTest-first forces you to see the test fail, proving it actually tests something.\\n\\n**\\\"I already manually tested all the edge cases\\\"**\\n\\nManual testing is ad-hoc. You think you tested everything but:\\n- No record of what you tested\\n- Can't re-run when code changes\\n- Easy to forget cases under pressure\\n- \\\"It worked when I tried it\\\" ≠ comprehensive\\n\\nAutomated tests are systematic. They run the same way every time.\\n\\n**\\\"Deleting X hours of work is wasteful\\\"**\\n\\nSunk cost fallacy. The time is already gone. Your choice now:\\n- Delete and rewrite with TDD (high confidence)\\n- Keep it and add tests after (low confidence, likely bugs)\\n\\nThe \\\"waste\\\" is keeping code you can't trust.\\n\\n**\\\"TDD is dogmatic, being pragmatic means adapting\\\"**\\n\\nTDD IS pragmatic:\\n- Finds bugs before commit (faster than debugging after)\\n- Prevents regressions (tests catch breaks immediately)\\n- Documents behavior (tests show how to use code)\\n- Enables refactoring (change freely, tests catch breaks)\\n\\n\\\"Pragmatic\\\" shortcuts = debugging in production = slower.\\n\\n**\\\"Tests after achieve the same goals — it's spirit not ritual\\\"**\\n\\nNo. Tests-after answer \\\"What does this do?\\\" Tests-first answer \\\"What should this do?\\\"\\n\\nTests-after are biased by your implementation. You test what you built, not what's required. Tests-first force edge case discovery before implementing.\\n\\n## Common Rationalizations\\n\\n| Excuse | Reality |\\n|--------|---------|\\n| \\\"Too simple to test\\\" | Simple code breaks. Test takes 30 seconds. |\\n| \\\"I'll test after\\\" | Tests passing immediately prove nothing. |\\n| \\\"Tests after achieve same goals\\\" | Tests-after = \\\"what does this do?\\\" Tests-first = \\\"what should this do?\\\" |\\n| \\\"Already manually tested\\\" | Ad-hoc ≠ systematic. No record, can't re-run. |\\n| \\\"Deleting X hours is wasteful\\\" | Sunk cost fallacy. Keeping unverified code is technical debt. |\\n| \\\"Keep as reference, write tests first\\\" | You'll adapt it. That's testing after. Delete means delete. |\\n| \\\"Need to explore first\\\" | Fine. Throw away exploration, start with TDD. |\\n| \\\"Test hard = design unclear\\\" | Listen to the test. Hard to test = hard to use. |\\n| \\\"TDD will slow me down\\\" | TDD faster than debugging. Pragmatic = test-first. |\\n| \\\"Manual test faster\\\" | Manual doesn't prove edge cases. You'll re-test every change. |\\n| \\\"Existing code has no tests\\\" | You're improving it. Add tests for the code you touch. |\\n\\n## Red Flags — STOP and Start Over\\n\\nIf you catch yourself doing any of these, delete the code and restart with TDD:\\n\\n- Code before test\\n- Test after implementation\\n- Test passes immediately on first run\\n- Can't explain why test failed\\n- Tests added \\\"later\\\"\\n- Rationalizing \\\"just this once\\\"\\n- \\\"I already manually tested it\\\"\\n- \\\"Tests after achieve the same purpose\\\"\\n- \\\"Keep as reference\\\" or \\\"adapt existing code\\\"\\n- \\\"Already spent X hours, deleting is wasteful\\\"\\n- \\\"TDD is dogmatic, I'm being pragmatic\\\"\\n- \\\"This is different because...\\\"\\n\\n**All of these mean: Delete code. Start over with TDD.**\\n\\n## Verification Checklist\\n\\nBefore marking work complete:\\n\\n- [ ] Every new function/method has a test\\n- [ ] Watched each test fail before implementing\\n- [ ] Each test failed for expected reason (feature missing, not typo)\\n- [ ] Wrote minimal code to pass each test\\n- [ ] All tests pass\\n- [ ] Output pristine (no errors, warnings)\\n- [ ] Tests use real code (mocks only if unavoidable)\\n- [ ] Edge cases and errors covered\\n\\nCan't check all boxes? You skipped TDD. Start over.\\n\\n## When Stuck\\n\\n| Problem | Solution |\\n|---------|----------|\\n| Don't know how to test | Write the wished-for API. Write the assertion first. Ask the user. |\\n| Test too complicated | Design too complicated. Simplify the interface. |\\n| Must mock everything | Code too coupled. Use dependency injection. |\\n| Test setup huge | Extract helpers. Still complex? Simplify the design. |\\n\\n## Hermes Agent Integration\\n\\n### Running Tests\\n\\nUse the `terminal` tool to run tests at each step:\\n\\n```python\\n# RED — verify failure\\nterminal(\\\"pytest tests/test_feature.py::test_name -v\\\")\\n\\n# GREEN — verify pass\\nterminal(\\\"pytest tests/test_feature.py::test_name -v\\\")\\n\\n# Full suite — verify no regressions\\nterminal(\\\"pytest tests/ -q\\\")\\n```\\n\\n### With delegate_task\\n\\nWhen dispatching subagents for implementation, enforce TDD in the goal:\\n\\n```python\\ndelegate_task(\\n    goal=\\\"Implement [feature] using strict TDD\\\",\\n    context=\\\"\\\"\\\"\\n    Follow test-driven-development skill:\\n    1. Write failing test FIRST\\n    2. Run test to verify it fails\\n    3. Write minimal code to pass\\n    4. Run test to verify it passes\\n    5. Refactor if needed\\n    6. Commit\\n\\n    Project test command: pytest tests/ -q\\n    Project structure: [describe relevant files]\\n    \\\"\\\"\\\",\\n    toolsets=['terminal', 'file']\\n)\\n```\\n\\n### With systematic-debugging\\n\\nBug found? Write failing test reproducing it. Follow TDD cycle. The test proves the fix and prevents regression.\\n\\nNever fix bugs without a test.\\n\\n## Testing Anti-Patterns\\n\\n- **Testing mock behavior instead of real behavior** — mocks should verify interactions, not replace the system under test\\n- **Testing implementation details** — test behavior/results, not internal method calls\\n- **Happy path only** — always test edge cases, errors, and boundaries\\n- **Brittle tests** — tests should verify behavior, not structure; refactoring shouldn't break them\\n- **Substring sentinels that collide with generated IDs** — when asserting that amounts or fixture values are excluded from a result, assert the full formatted token (e.g. `999.00`) or a typed field, not a short substring like `999` that can appear inside UUIDs/hash-like IDs.\\n\\n## Final Rule\\n\\n```\\nProduction code → test exists and failed first\\nOtherwise → not TDD\\n```\\n\\nNo exceptions without the user's explicit permission.\\n\", \"path\": \"software-development/test-driven-development/SKILL.md\", \"skill_dir\": \"/home/agent/.hermes/skills/software-development/test-driven-development\", \"linked_files\": null, \"usage_hint\": null, \"required_environment_variables\": [], \"required_commands\": [], \"missing_required_environment_variables\": [], \"missing_credential_files\": [], \"missing_required_commands\": [], \"setup_needed\": false, \"setup_skipped\": false, \"readiness_status\": \"available\", \"metadata\": {\"hermes\": {\"tags\": [\"testing\", \"tdd\", \"development\", \"quality\", \"red-green-refactor\"], \"related_skills\": [\"systematic-debugging\", \"writing-plans\", \"subagent-driven-development\"]}}}", "tool_call_id": "call_Y69A14B8rEVESv8sXl2VsZgW", "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "assistant", "content": "", "reasoning": "**Inspecting the repo**\n\nI need to implement something, but first, it seems like a good idea to inspect the repository. I wonder if there are any important details or documentation I've missed. By checking it out first, I can ensure I'm on the right track and avoid potential issues later on. It’s always better to gather all necessary information before diving into an implementation. Let's see what I can find!", "finish_reason": "tool_calls", "reasoning_content": "**Inspecting the repo**\n\nI need to implement something, but first, it seems like a good idea to inspect the repository. I wonder if there are any important details or documentation I've missed. By checking it out first, I can ensure I'm on the right track and avoid potential issues later on. It’s always better to gather all necessary information before diving into an implementation. Let's see what I can find!", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqEZCz9KlVmEGmdRsJbC3aH-PLsq4KgW6z1YE1gu2LztjunF6GIaiXqJK0S423l4w9s_uBF6YiQwAAWEdkCzqknSwMOZdX3m4NROqSRab7JS4fYopyfAcCu-V3tZRiUOWFdLE_NEO9e3gGlhYTPOIYuJOYJC3OY7ya9hnDqcwUkhBdJwIOVM_iTPA3EOq6aSTf3zoYQAmLcXpg6ZL5XNA6oJSnXDnwob6C-rLN4CVOPtsb4IzHBwkrkU9OCtrhVTYE3eKYQbpr0CdfwAY11y8H6upD3thkIuOn0yjvyphokHO72siIKKG872bQaByqiPbU7Db_zEzQeyyD-U3RwV7mzxReh2wft05HEbzDS3DVwjyMQl4rTQTfANZY8Ihx6CcgLYkf8n8CESp4Lh8t4Kl4uSwhDTMjdGoQJSJ21R4HJzZYK36uk-av21hNJCMgcfYDlQje5k_rfs2i8IRJB2AieBmDNXLzLx5CqVFpHuzrOcYeceXhuh91kdvZdUAsZi2ZhzYrsNSIT6xOZ3_PtmZVTmqtwFpjGRthdWKw9dZSppGJsmTLLVscDC9h4NXPu96Yc6TdqkEcejafzL5LrsdwQOjKWyhMbNvRmPbDP81_5PJUbLZkAXOZyr4V22DvDefHEupO5UyDoGVxmj_cB4CTipfbFiLg254F2aQqJ98nchI1wmFJOsZN2dzw2WCafze0_fS-CkYOk8PiYsFaWBUfqdWZc_M8Lyji9BXXli8q0uitrhq5454qVTnb96IwWUe2tjzNqeb6o6guO50dggGoDMpKjUW_07StyihbuowysPw0l46Jq_690kq11q5VidJCzLNT8DFbkLhdUQaSyDTcOOA8L4qOSzHYiCg_BQeB74tnfgBAp35ul5UxLotiSVzy0iOcWxAsyZMp_ppoH0ZEesc53-C6wYCuj7R811Ki6DBE0ffjM2yV3_eRbNZ9eOBiAiyn7NNniGSDg4vWOFF66gmqyg==", "id": "rs_0d1a4d10654d56b4016a1190b11f68819184f17310dabf66d5", "summary": [{"type": "summary_text", "text": "**Inspecting the repo**\n\nI need to implement something, but first, it seems like a good idea to inspect the repository. I wonder if there are any important details or documentation I've missed. By checking it out first, I can ensure I'm on the right track and avoid potential issues later on. It’s always better to gather all necessary information before diving into an implementation. Let's see what I can find!"}]}], "tool_calls": [{"id": "call_ZsqByl8LFs10sLmlevMKLdFj", "call_id": "call_ZsqByl8LFs10sLmlevMKLdFj", "response_item_id": "fc_0d1a4d10654d56b4016a1190b322708191a84efeac2f8d763b", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"git status --short && git log --oneline -3\",\"timeout\":60,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}"}}], "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \"?? autoshorts/review_package.py\\n?? data/telegram_reviews/\\n?? scripts/generate_telegram_review_packages.py\\n?? tests/test_review_package.py\\nff5df62 feat: add free local motion renderer\\nb54a903 feat: add free production job specs\\n4d1e8f8 feat: generate mechanism render manifests\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_ZsqByl8LFs10sLmlevMKLdFj", "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "assistant", "content": "", "reasoning": "**Considering video provider options**\n\nI'm thinking about implementing a provider registry. It seems I might need to compile research into data. I'll create tests for the free AI video providers to select those suitable for realistic scenes. It would be helpful to generate external handoff specs and use source URLs with observed details. I also need to follow test-driven development along with adding options like CapCut, Pika, PixVerse, and Runway. These providers have usable free tiers, which the user wants.", "finish_reason": "tool_calls", "reasoning_content": "**Considering video provider options**\n\nI'm thinking about implementing a provider registry. It seems I might need to compile research into data. I'll create tests for the free AI video providers to select those suitable for realistic scenes. It would be helpful to generate external handoff specs and use source URLs with observed details. I also need to follow test-driven development along with adding options like CapCut, Pika, PixVerse, and Runway. These providers have usable free tiers, which the user wants.", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqEZC8LM7hSZ5MLFLN3pPZn-GQBagWdF0Xp2lbiLIFdy1GQmnFE7uyBYj2kZpGON-GQO7PRniSc7vHwjPtE3CsopIpbbpl-f9K_fa7xB2J2Vx6Dod-OzBMTNBp1hhOT44DXA8R3PxoZP6xzRrabQmHnZbKpzN4BXMeBfKpdfzlqNakrHcZygSYaLKDNNz7vgLTLRAwLicFLZibL9_B6aygaADfQuHvkNY_7gkXpAbqfXssyXK-J34Ie-L3D3jJQyAyCz3IwSppdZRwruXowiRc2MHRfi-TdlgxYsc6c9VukTQuXUt-OoLgjWtNZcEs_oFc6bphxcFZ3SHV7ftjJi7B9LxFo_sa9hGuoSz2XX3f0pKRCRrpD_tL5NjrYrZWcqOvskAtHIkBQj_ZMf0MVAkUtEICM9qUGjQv5mRDuv4b0o9zdRWLh4BaZWfMjLFt_rin3fCuQquabgtee2rSzNauKgJicUJ9JVANt3NN_bIQGLJvDTJB0Guhh3BscXisULSHMXUshtu8agMJHbw8EMKYTt16Rx_DhzLRGAZ-sglWGjTfq9eUoZ3-4DXOse01TNec2eEQOkN6pcDJQVx_INVrwTbbc_jOEfh3Q_Gp_75Zcsaji5ZkhysexvgidYpqHKV-lqRvyn-m3VcyoKu4KC6B69kER5jyWo5pXRZixncv7hndTIPRp_1vG30Nk3w2o8sRNX7268RzI3Ctf1UKbnyp5fr74zopFbYXqkzOF3kLMU5lAQeoTgm3JWBtsw4oIYEn116HhYLIT5fK3FQgyBKV2POeQYbOcYTQoWSP1e7-p-jTIpdqlo8V4mwUUuEVwhfCupHzDwv7Q7AHOmhUGZxRxOdKFN5eTZCjcEkJfFnpYmGNyRFMdzwhKfm5iLzg4gW9vUasEdlrFgWTiMng2F1M8ypziXq-HzvXha7OIrnnZg--TtuT_MIP_cWePFh1ncQ9s4HO2ITsVwYIqNd2t-YoWuOR6EvS9daIhCP090rFQaiML5YiOlIh8X2GEWzjf91AL1Csh7sfz6O2e9QfZI2ufr2-pE_aqfHjmT6W3Dd5EZxnaaGhXFmRTrhWN_PKLdofaZwOeamKSyd3crKefOd_IzSi1RWbW7pBiqAAB-LY623VVWfX1V3F2NnyUegA1ycvPnVcn0DpANAuYa8kcF9AaO0p2FVF80osR8kMNhnfwl835kmRE1peOclPMqHvlG8ZdeHnGw_7PI9018IW974S0TQpdMk84OiqPJl07DA_rKMgJWT2ogiz954-IJCcQM6TGUk9aKm5axQF1ulRuVEQ1AQKNCyujtHX7T6PJ6febFFfjAaWkrzAK0kPiLWrcvO9ByeJEBhuWnmDUpeQHrliH5Ksz55rdQ7QrIIQbvinhkvSXQD3nUpxMuhrrAL_-td531D4WqEozAsV0eTnXrjIHvhj8fOybZniaA9_seQu-zTK-0myU8mVAyGcD1GFp9Cv8qMdoM54wBTKlVZnLpZTwSIckNw9darDmJmNMCr85ZmF5QD9DThzkd7CepNWbc1L6W5hnY_Xqnc8ixa0oaAlpVdvvhgvBaR4JZyclwg1b3Nf2osc4rNN8a4WIjMGLGsUl9SrP4iRP-YEIgX3yGy0JPb54RBrmXWK0Lt9bTTO4xIY4Yg2riz8JYd_lU8BSff1ewIYqIxQSK0qwDa1fDPjOu0OywxkkgEt1-hAOcbvJf4Xcuk9ww4-cpUr5bQtwMt3rKuVZePsZwZWCp6Z6ZDfbbxDVwyiB9kIZdXmD8ZdX7PkKZKM5NbS6AW8QcM59SutegSJD4VAmZoptGDkhbmuyiUZdHew4iSop3rmDuykPZJ4MvbF_BXM7pLuwVrTbtYdEOoLQwRafvsFlRPRcaWajHUwFY9cctjqa2p-Tu_cpklj7hwi8NQ-l-5hYIDAOoz9A552NLeI6D4GsWTrqjyz679Ft1XD7jALcCiPj-zC_bk8c5VNe9NIPkJc207uIA5WTM2LDwWYsXktt-1oLNZV50oEE9oAK0q7xMli0byVw9eerBLsXWVuiGxj896N9WrxE4w5MLQKfeY6RcyINy1X9ApZk7NJJhbUIrxeTeVVcYmXnHzXXWHIPuxm506vgoFrnEkmL5dIjfBd-8OmsY5drFbjHplOQ3P08g5BIEvHuR3he1IGt4508eVoS8_sR_PRfFl0vWiPHDxwOMwfHwWo9hqOYlc42z6Z3ecUeSEDy0IYs5Q2jFKYUozmO1cRnaBqSOYSaDNnUmqJwm_Ou4OkNAQ6co2YNJn_BHIP9T1fokQfG3v3PSbYOiwpmAAxgoHcIKn6SoRj5Gn6-n4_U4sEzTDPYA==", "id": "rs_0d1a4d10654d56b4016a1190b605b88191a2e77a0078471595", "summary": [{"type": "summary_text", "text": "**Considering video provider options**\n\nI'm thinking about implementing a provider registry. It seems I might need to compile research into data. I'll create tests for the free AI video providers to select those suitable for realistic scenes. It would be helpful to generate external handoff specs and use source URLs with observed details. I also need to follow test-driven development along with adding options like CapCut, Pika, PixVerse, and Runway. These providers have usable free tiers, which the user wants."}]}], "tool_calls": [{"id": "call_oL8oxs2G4u1W3wAUg2CqAIjp", "call_id": "call_oL8oxs2G4u1W3wAUg2CqAIjp", "response_item_id": "fc_0d1a4d10654d56b4016a1190bcbd608191911578b12244c567", "type": "function", "function": {"name": "browser_navigate", "arguments": "{\"url\":\"https://lumalabs.ai/pricing\"}"}}], "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "tool", "name": "browser_navigate", "content": "{\"success\": true, \"url\": \"https://lumalabs.ai/pricing\", \"title\": \"Plans & Pricing | Luma\", \"snapshot\": \"- main\\n  - navigation\\n    - link \\\"Luma company logo\\\" [ref=e21]\\n      - image \\\"Luma company logo\\\"\\n    - generic\\n      - link \\\"PRODUCT\\\" [ref=e22]\\n      - link \\\"PRICING\\\" [ref=e23]\\n      - link \\\"API\\\" [ref=e24]\\n      - link \\\"ENTERPRISE\\\" [ref=e25]\\n      - link \\\"NEWS\\\" [ref=e26]\\n      - link \\\"JOIN US\\\" [ref=e27]\\n    - link \\\"Sign In\\\" [ref=e28]\\n  - generic\\n    - heading \\\"Plans & Pricing\\\" [level=1, ref=e1]\\n    - paragraph\\n      - StaticText \\\"Save up to 20% with yearly\\\"\\n    - button \\\"Monthly\\\" [ref=e2]\\n      - StaticText \\\"Monthly\\\"\\n    - button \\\"Yearly\\\" [ref=e3]\\n    - heading \\\"Individual plans\\\" [level=3, ref=e4]\\n    - StaticText \\\"Plus\\\"\\n    - paragraph\\n      - StaticText \\\"$30/month\\\"\\n    - link \\\"Start Now\\\" [ref=e5]\\n    - image\\n    - StaticText \\\"Luma and third-party image and video models\\\"\\n    - image\\n    - StaticText \\\"Edit access for guest collaborators\\\"\\n    - image\\n    - StaticText \\\"Commercial use\\\"\\n    - StaticText \\\"Pro\\\"\\n    - paragraph\\n      - StaticText \\\"$90/month\\\"\\n    - link \\\"Start Now\\\" [ref=e6]\\n    - paragraph\\n      - StaticText \\\"Everything in Plus, with:\\\"\\n    - image\\n    - StaticText \\\"4x usage with the Luma Agents\\\"\\n    - StaticText \\\"Ultra\\\"\\n    - paragraph\\n      - StaticText \\\"$300/month\\\"\\n    - link \\\"Start Now\\\" [ref=e7]\\n    - paragraph\\n      - StaticText \\\"Everything in Pro, with:\\\"\\n    - image\\n    - StaticText \\\"15x usage with the Luma Agents\\\"\\n    - heading \\\"Business plans\\\" [level=3, ref=e8]\\n    - StaticText \\\"Team\\\"\\n    - StaticText \\\"Contact us\\\"\\n    - link \\\"Get in touch\\\" [ref=e9]\\n    - paragraph\\n      - StaticText \\\"Everything in our regular plans, plus:\\\"\\n    - image\\n    - StaticText \\\"Manage and add team members\\\"\\n    - image\\n    - StaticText \\\"Projects, team organization, and team-wide sharing\\\"\\n    - image\\n    - StaticText \\\"Usage analytics\\\"\\n    - image\\n    - StaticText \\\"Shared team credits\\\"\\n    - image\\n    - StaticText \\\"SSO\\\"\\n    - StaticText \\\"Enterprise\\\"\\n    - StaticText \\\"Contact us\\\"\\n    - link \\\"Get in touch\\\" [ref=e10]\\n    - paragraph\\n      - StaticText \\\"Everything in our Team plan, plus\\\"\\n    - image\\n    - StaticText \\\"Enterprise commitments\\\"\\n    - image\\n    - StaticText \\\"Dedicated education and training\\\"\\n    - image\\n    - StaticText \\\"Custom fine-tuning\\\"\\n  - generic\\n    - paragraph\\n      - StaticText \\\"Force multiplying teams at\\\"\\n    - list\\n      - listitem [level=1]\\n      - listitem [level=1]\\n      - listitem [level=1]\\n      - listitem [level=1]\\n      - listitem [level=1]\\n      - listitem [level=1]\\n      - listitem [level=1]\\n      - listitem [level=1]\\n      - listitem [level=1]\\n      - listitem [level=1]\\n      - listitem [level=1]\\n      - listitem [level=1]\\n      - listitem [level=1]\\n      - listitem [level=1]\\n      - listitem [level=1]\\n  - generic\\n    - heading \\\"Cost Per Video Generation\\\" [level=2, ref=e11]\\n    - StaticText \\\"Model\\\"\\n    - StaticText \\\"Action\\\"\\n    - StaticText \\\"Resolution\\\"\\n    - StaticText \\\"Audio\\\"\\n    - StaticText \\\"Cost per second\\\"\\n    - StaticText \\\"Ray3.14 HDR\\\"\\n    - StaticText \\\"Text-to-Video Image-to-Video\\\"\\n    - StaticText \\\"Draft\\\"\\n    - StaticText \\\"-\\\"\\n    - StaticText \\\"16 credits\\\"\\n    - StaticText \\\"540p\\\"\\n    - StaticText \\\"-\\\"\\n    - StaticText \\\"40 credits\\\"\\n    - StaticText \\\"720p\\\"\\n    - StaticText \\\"-\\\"\\n    - StaticText \\\"80 credits\\\"\\n    - StaticText \\\"1080p\\\"\\n    - StaticText \\\"-\\\"\\n    - StaticText \\\"320 credits\\\"\\n    - StaticText \\\"Video-to-Video\\\"\\n    - StaticText \\\"Draft\\\"\\n    - StaticText \\\"-\\\"\\n    - StaticText \\\"48 credits\\\"\\n    - StaticText \\\"540p\\\"\\n    - StaticText \\\"-\\\"\\n    - StaticText \\\"96 credits\\\"\\n    - StaticText \\\"720p\\\"\\n    - StaticText \\\"-\\\"\\n    - StaticText \\\"192 credits\\\"\\n    - StaticText \\\"1080p\\\"\\n    - StaticText \\\"-\\\"\\n    - StaticText \\\"768 credits\\\"\\n    - StaticText \\\"Ray3.14\\\"\\n    - StaticText \\\"Text-to-Video Image-to-Video\\\"\\n    - StaticText \\\"Draft\\\"\\n    - StaticText \\\"-\\\"\\n    - StaticText \\\"4 credits\\\"\\n    - StaticText \\\"540p\\\"\\n    - StaticText \\\"-\\\"\\n    - StaticText \\\"10 credits\\\"\\n    - StaticText \\\"720p\\\"\\n    - StaticText \\\"-\\\"\\n    - StaticText \\\"20 credits\\\"\\n    - StaticText \\\"1080p\\\"\\n    - StaticText \\\"-\\\"\\n    - StaticText \\\"80 credits\\\"\\n    - StaticText \\\"Video-to-Video\\\"\\n    - StaticText \\\"Draft\\\"\\n    - StaticText \\\"-\\\"\\n    - StaticText \\\"12 credits\\\"\\n    - StaticText \\\"540p\\\"\\n    - StaticText \\\"-\\\"\\n    - StaticText \\\"24 credits\\\"\\n    - StaticText \\\"720p\\\"\\n    - StaticText \\\"-\\\"\\n    - StaticText \\\"48 credits\\\"\\n    - StaticText \\\"1080p\\\"\\n    - StaticText \\\"-\\\"\\n    - StaticText \\\"192 credits\\\"\\n    - StaticText \\\"Seedance 2.0\\\"\\n    - StaticText \\\"Text-to-Video Image-to-Video\\\"\\n    - StaticText \\\"480p\\\"\\n    - StaticText \\\"Yes\\\"\\n    - StaticText \\\"106 credits\\\"\\n    - StaticText \\\"720p\\\"\\n    - StaticText \\\"Yes\\\"\\n    - StaticText \\\"106 credits\\\"\\n    - StaticText \\\"1080p\\\"\\n    - StaticText \\\"Yes\\\"\\n    - StaticText \\\"106 credits\\\"\\n    - StaticText \\\"Video-to-Video\\\"\\n    - StaticText \\\"480p\\\"\\n    - StaticText \\\"Yes\\\"\\n    - StaticText \\\"106 credits\\\"\\n    - StaticText \\\"720p\\\"\\n    - StaticText \\\"Yes\\\"\\n    - StaticText \\\"106 credits\\\"\\n    - StaticText \\\"1080p\\\"\\n    - StaticText \\\"Yes\\\"\\n    - StaticText \\\"106 credits\\\"\\n    - StaticText \\\"Kling Omni\\\"\\n    - StaticText \\\"Text-to-Video Image-to-Video\\\"\\n    - StaticText \\\"720p\\\"\\n    - StaticText \\\"-\\\"\\n    - StaticText \\\"30 credits\\\"\\n    - StaticText \\\"720p\\\"\\n    - StaticText \\\"Yes\\\"\\n    - StaticText \\\"40 credits\\\"\\n    - StaticText \\\"1080p\\\"\\n    - StaticText \\\"-\\\"\\n    - StaticText \\\"40 credits\\\"\\n    - StaticText \\\"1080p\\\"\\n    - StaticText \\\"Yes\\\"\\n    - StaticText \\\"49 credits\\\"\\n    - StaticText \\\"2160p (4K)\\\"\\n    - StaticText \\\"-\\\"\\n    - StaticText \\\"147 credits\\\"\\n    - StaticText \\\"2160p (4K)\\\"\\n    - StaticText \\\"Yes\\\"\\n    - StaticText \\\"147 credits\\\"\\n    - StaticText \\\"Video-to-Video\\\"\\n    - StaticText \\\"720p\\\"\\n    - StaticText \\\"Yes\\\"\\n    - StaticText \\\"45 credits\\\"\\n    - StaticText \\\"1080p\\\"\\n    - StaticText \\\"Yes\\\"\\n    - StaticText \\\"59 credits\\\"\\n    - StaticText \\\"2160p (4K)\\\"\\n    - StaticText \\\"Yes\\\"\\n    - StaticText \\\"147 credits\\\"\\n    - StaticText \\\"Kling 3.0\\\"\\n    - StaticText \\\"Text-to-Video Image-to-Video\\\"\\n    - StaticText \\\"720p\\\"\\n    - StaticText \\\"-\\\"\\n    - StaticText \\\"30 credits\\\"\\n    - StaticText \\\"720p\\\"\\n    - StaticText \\\"Yes\\\"\\n    - StaticText \\\"40 credits\\\"\\n    - StaticText \\\"1080p\\\"\\n    - StaticText \\\"-\\\"\\n    - StaticText \\\"40 credits\\\"\\n    - StaticText \\\"1080p\\\"\\n    - StaticText \\\"Yes\\\"\\n    - StaticText \\\"49 credits\\\"\\n    - StaticText \\\"2160p (4K)\\\"\\n    - StaticText \\\"-\\\"\\n    - StaticText \\\"147 credits\\\"\\n    - StaticText \\\"2160p (4K)\\\"\\n    - StaticText \\\"Yes\\\"\\n    - StaticText \\\"147 credits\\\"\\n    - StaticText \\\"Kling 2.6\\\"\\n    - StaticText \\\"Text-to-Video Image-to-Video\\\"\\n    - StaticText \\\"720p\\\"\\n    - StaticText \\\"-\\\"\\n    - StaticText \\\"29 credits\\\"\\n    - StaticText \\\"720p\\\"\\n    - StaticText \\\"Yes\\\"\\n    - StaticText \\\"58 credits\\\"\\n    - StaticText \\\"1080p\\\"\\n    - StaticText \\\"-\\\"\\n    - StaticText \\\"29 credits\\\"\\n    - StaticText \\\"1080p\\\"\\n    - StaticText \\\"Yes\\\"\\n    - StaticText \\\"58 credits\\\"\\n    - StaticText \\\"Veo 3.1\\\"\\n    - StaticText \\\"Text-to-Video Image-to-Video\\\"\\n    - StaticText \\\"720p\\\"\\n    - StaticText \\\"-\\\"\\n    - StaticText \\\"140 credits\\\"\\n    - StaticText \\\"720p\\\"\\n    - StaticText \\\"Yes\\\"\\n    - StaticText \\\"280 credits\\\"\\n    - StaticText \\\"1080p\\\"\\n    - StaticText \\\"-\\\"\\n    - StaticText \\\"140 credits\\\"\\n    - StaticText \\\"1080p\\\"\\n    - StaticText \\\"Yes\\\"\\n    - StaticText \\\"280 credits\\\"\\n    - StaticText \\\"Veo 3\\\"\\n    - StaticText \\\"Text-to-Video Image-to-Video\\\"\\n    - StaticText \\\"720p\\\"\\n    - StaticText \\\"-\\\"\\n    - StaticText \\\"140 credits\\\"\\n    - StaticText \\\"720p\\\"\\n    - StaticText \\\"Yes\\\"\\n    - StaticText \\\"280 credits\\\"\\n    - StaticText \\\"1080p\\\"\\n    - StaticText \\\"-\\\"\\n    - StaticText \\\"140 credits\\\"\\n    - StaticText \\\"1080p\\\"\\n    - StaticText \\\"Yes\\\"\\n    - StaticText \\\"280 credits\\\"\\n  - generic\\n    - heading \\\"Cost Per Image Generation\\\" [level=2, ref=e12]\\n    - StaticText \\\"Model\\\"\\n    - StaticText \\\"Action\\\"\\n    - StaticText \\\"Quality\\\"\\n    - StaticText \\\"Cost per image\\\"\\n    - StaticText \\\"Uni-1\\\"\\n    - StaticText \\\"Create/Modify\\\"\\n    - StaticText \\\"-\\\"\\n    - StaticText \\\"30 credits\\\"\\n    - StaticText \\\"GPT Image 2\\\"\\n    - StaticText \\\"Create/Modify\\\"\\n    - StaticText \\\"Low-1K\\\"\\n    - StaticText \\\"3 credits\\\"\\n    - StaticText \\\"Low-2K\\\"\\n    - StaticText \\\"5 credits\\\"\\n    - StaticText \\\"Low-4K\\\"\\n\\n[... 116 more lines truncated, use browser_snapshot for full content]\", \"element_count\": 43}", "tool_call_id": "call_oL8oxs2G4u1W3wAUg2CqAIjp", "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqEZDCgNipEXMJhF26NOIjZni6twtrRsJ0ht0lc2ymcWAK4sDHH5bQAwojiwGB7waREyEjiZdS3YiaU98GKb0UGxPQqoa6c3OHo12D9qgFMRrkkgM7InTETDG3vyVW040sQYqLfmdZnkm_5eVkKYqy4awngHwckkjFGz4nQZDFL9lqY1SY8bSqnetyrXoIqNv5H9INPhWkZ08-1H-_pVg8P1AAMXEty04UF7ZtqzfawwNZxs8bxx5h-XdaTALfNCd-WBcqanUrhDr_tGAmkzs3QLRkf0mG149_eGscx3eARYyZ5_qoxXAWwHNszqr2ZCnAQs14c09kxSmdbhFOziGg0QRPT1Xl9H9doar55dPP8-yaYMdtgN9IvvRDxumWpFqTw9Jn1CgR8To8g71qTSajqXmM3MjdJNyc2O_CNRVQ2sNulh61LuEITXs230-urj2-eL1SvF2u6nRujCZ4sIRoLVQtwBCuF61PLoSvafOID_MbOPsRsEyw4ubKCcQcznppW9Ci6Q0DNwPv22b3j0msdIQX8puq_G_ry-PlYGp-D_opKDT9pU3fCejBSHPx-h-KWqy4S01_wJ4rOD1_nouZ6pLMPsZhugSVx9tpICc-jSmaiqpzXVBvr96CYTNstJzJ5hqjP8C290rwwBqHFjKN7gXhD8POuTtYeT20iW0qqqqCybO4ZOPIRDrKo_iAdGbG8gQJvtHWMa05RYqkXTnRpRwZ7eQjGV3ju0gj5F-liUxn7qj0bjbarMvxbRD1oy3gC_-YdEt8k7N9bnVVXTxrmkKsQRhwnECyG3596E8Kh3Sgmk-tyWYkz40rAXi-YgbR8EdD97W_kTzcRrQ9Yk0WVWOxaXi97l_XSoEc5Dmp7xGsDZHGwroZvDmoF3y8KLODZNM1mcD3ENFx6UvoUTrCYpF6pxsEsht08YPLfMzvbi3YtthasmO40V8GDO7zs1gL9523ZoXZTNrdS4qSO_DtEJ0rlmLv4Db2ApxxARxj42nAy4TnZSPIod82UDSwe-3OqW4NU6UkIOhc2myumCnFdReVhQ==", "id": "rs_0d1a4d10654d56b4016a1190c165a48191af556866bd7b2f60", "summary": []}], "tool_calls": [{"id": "call_M8BAvPiU6Jim2EKawXiX3lSY", "call_id": "call_M8BAvPiU6Jim2EKawXiX3lSY", "response_item_id": "fc_0d1a4d10654d56b4016a1190c22e148191b1ac0f344228c58b", "type": "function", "function": {"name": "browser_navigate", "arguments": "{\"url\":\"https://hailuoai.video/\"}"}}], "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "tool", "name": "browser_navigate", "content": "{\"success\": true, \"url\": \"https://hailuoai.video/\", \"title\": \"Hailuo AI: AI Video Generator from Text & Image\", \"snapshot\": \"- generic\\n  - alert\\n  - main\\n    - generic [ref=e1] clickable [cursor:pointer, onclick]\\n      - StaticText \\\"Seedance 2.0 Price Blowout: Limited-time 65% OFF for omni reference! 720P costs as low as $0.07/sec.\\\"\\n      - image\\n      - StaticText \\\"08d : 12h : 25m : 29s\\\"\\n      - generic [ref=e2] clickable [cursor:pointer, onclick]\\n        - StaticText \\\"Get Deal Now\\\"\\n      - generic [ref=e3] clickable [cursor:pointer, onclick]\\n        - image\\n    - generic\\n      - generic\\n        - link [ref=e9]\\n        - link \\\"Home\\\" [ref=e10]\\n        - link \\\"Assets\\\" [ref=e11]\\n        - link \\\"Tools\\\" [ref=e12]\\n        - link \\\"Hub\\\" [ref=e13]\\n        - link \\\"Video\\\" [ref=e14]\\n        - link \\\"Image\\\" [ref=e15]\\n        - link \\\"Audio\\\" [ref=e16]\\n        - generic [ref=e5] clickable [cursor:pointer, onclick]\\n        - generic [ref=e6] clickable [cursor:pointer, onclick]\\n        - generic [ref=e7] clickable [cursor:pointer, onclick]\\n        - image\\n      - generic\\n        - tablist \\\"Creation type\\\"\\n          - tab \\\"Create Video\\\" [selected, ref=e17]\\n          - tab \\\"Create Image\\\" [ref=e18]\\n          - tab \\\"Hailuo Agent\\\" [ref=e19]\\n        - generic\\n        - generic\\n        - generic\\n        - generic\\n          - generic [ref=e29] clickable [onclick]\\n          - generic [ref=e20] clickable [cursor:pointer, onclick]\\n          - generic [ref=e30] clickable [onclick]\\n          - textbox [ref=e21]: Describe the video content you want to generate, e.g., \\\"A child flying a kite in the park, golden sunlight, camera tilting up.\\\"\\n\\n            - paragraph\\n              - StaticText \\\"Describe the video content you want to generate, e.g., \\\\\\\"A child flying a kite in the park, golden sunlight, camera tilting up.\\\\\\\"\\\"\\n              - LineBreak \\\"\\\\n\\\"\\n          - generic [ref=e22] clickable [cursor:pointer, onclick]\\n            - image\\n            - StaticText \\\"Hailuo 2.3\\\"\\n          - generic [ref=e23] clickable [cursor:pointer, onclick]\\n            - image\\n            - StaticText \\\"Start/End Frame\\\"\\n          - generic [ref=e24] clickable [cursor:pointer, onclick]\\n            - image\\n            - StaticText \\\"768p\\\"\\n            - image\\n            - StaticText \\\"6s\\\"\\n          - generic [ref=e25] clickable [cursor:pointer, onclick]\\n            - image\\n            - StaticText \\\"1\\\"\\n          - image\\n          - StaticText \\\"25\\\"\\n          - button \\\"Create\\\" [ref=e26]\\n            - image\\n            - StaticText \\\"Create\\\"\\n        - generic\\n          - generic\\n            - generic\\n              - generic [ref=e31] clickable [onclick]\\n                - generic [ref=e46] clickable [onclick]\\n                  - generic [ref=e82] clickable [onclick]\\n                    - image \\\"AI Video banner by Hailuo AI Video Generator\\\" [ref=e121] clickable [cursor:pointer, onclick]\\n                    - generic [ref=e122] clickable [cursor:pointer]\\n                      - image \\\"logo\\\" [ref=e125] clickable [cursor:pointer, onclick]\\n              - list\\n                - listitem [level=1]\\n                  - button \\\"1\\\" [ref=e47]\\n                - listitem [level=1]\\n                  - button \\\"2\\\" [ref=e48]\\n                - listitem [level=1]\\n                  - button \\\"3\\\" [ref=e49]\\n                - listitem [level=1]\\n                  - button \\\"4\\\" [ref=e50]\\n            - button [ref=e32]\\n              - image\\n            - button [ref=e33]\\n              - image\\n          - generic [ref=e34] clickable [onclick]\\n            - generic [ref=e51] clickable [onclick]\\n              - generic [ref=e83] clickable [onclick]\\n                - image \\\"AI Video banner by Hailuo AI Video Generator\\\" [ref=e123] clickable [cursor:pointer, onclick]\\n                - generic [ref=e124] clickable [cursor:pointer]\\n                  - image \\\"logo\\\" [ref=e126] clickable [cursor:pointer, onclick]\\n                  - StaticText \\\"Tools Tab is Live: \\\\nLight Studio is Ready \\\"\\n        - generic\\n          - generic\\n            - generic\\n              - image\\n              - image\\n            - generic\\n              - link \\\"Trending\\\" [ref=e35]\\n                - StaticText \\\"Trending\\\"\\n              - link \\\"Creative Image Pack\\\" [ref=e36]\\n                - StaticText \\\"Creative Image Pack\\\"\\n              - link \\\"Ads Free\\\" [ref=e37]\\n                - StaticText \\\"Ads\\\"\\n                - StaticText \\\"Free\\\"\\n              - link \\\"LoveFrame\\\" [ref=e38]\\n                - StaticText \\\"LoveFrame\\\"\\n              - link \\\"PetPal\\\" [ref=e39]\\n                - StaticText \\\"PetPal\\\"\\n              - link \\\"BabyForm\\\" [ref=e40]\\n                - StaticText \\\"BabyForm\\\"\\n              - link \\\"PlayFun\\\" [ref=e41]\\n                - StaticText \\\"PlayFun\\\"\\n              - link \\\"SnapMorph\\\" [ref=e42]\\n                - StaticText \\\"SnapMorph\\\"\\n              - link \\\"Style Switch\\\" [ref=e43]\\n                - StaticText \\\"Style Switch\\\"\\n              - link \\\"CineScope\\\" [ref=e44]\\n                - StaticText \\\"CineScope\\\"\\n              - link \\\"ASMR\\\" [ref=e45]\\n                - StaticText \\\"ASMR\\\"\\n          - generic\\n            - generic\\n              - image\\n              - StaticText \\\"HOT\\\"\\n              - generic [ref=e52] clickable [cursor:pointer]\\n                - button \\\"Realistic KBO Close-up Video from Photo - Upload a photo to create a realistic KBO baseball broadcast close-up video cover image by Hailuo AI Video Generator\\\" [ref=e84]\\n              - button \\\"39.8K\\\" [ref=e85]\\n                - image\\n                - StaticText \\\"39.8K\\\"\\n            - generic\\n              - generic [ref=e53] clickable [cursor:pointer]\\n                - button \\\"Upload Your Photo for a Trashion Makeover - Upload your photo to get your Trashion Makeover! cover image by Hailuo AI Video Generator\\\" [ref=e86]\\n              - button \\\"1522\\\" [ref=e87]\\n                - image\\n                - StaticText \\\"1522\\\"\\n            - generic\\n              - generic [ref=e54] clickable [cursor:pointer]\\n              - button \\\"1044\\\" [ref=e88]\\n                - image\\n                - StaticText \\\"1044\\\"\\n            - generic\\n              - generic [ref=e55] clickable [cursor:pointer]\\n              - button \\\"441\\\" [ref=e89]\\n                - image\\n                - StaticText \\\"441\\\"\\n            - generic\\n              - generic [ref=e56] clickable [cursor:pointer]\\n              - button \\\"1105\\\" [ref=e90]\\n                - image\\n                - StaticText \\\"1105\\\"\\n            - generic\\n              - generic [ref=e57] clickable [cursor:pointer]\\n              - button \\\"258\\\" [ref=e91]\\n                - image\\n                - StaticText \\\"258\\\"\\n            - generic\\n              - generic [ref=e58] clickable [cursor:pointer]\\n              - button \\\"2607\\\" [ref=e92]\\n                - image\\n                - StaticText \\\"2607\\\"\\n            - generic\\n              - generic [ref=e59] clickable [cursor:pointer]\\n              - button \\\"1392\\\" [ref=e93]\\n                - image\\n                - StaticText \\\"1392\\\"\\n            - generic\\n              - generic [ref=e60] clickable [cursor:pointer]\\n              - button \\\"2846\\\" [ref=e94]\\n                - image\\n                - StaticText \\\"2846\\\"\\n            - generic\\n              - generic [ref=e61] clickable [cursor:pointer]\\n              - button \\\"1295\\\" [ref=e95]\\n                - image\\n                - StaticText \\\"1295\\\"\\n            - generic\\n              - generic [ref=e62] clickable [cursor:pointer]\\n                - button \\\"Next-Gen Productivity: Evolved Creation Spaces - Creation Space Evolved: Defining Next-Gen Productivity cover image by Hailuo AI Video Generator\\\" [ref=e96]\\n                  - image \\\"Next-Gen Productivity: Evolved Creation Spaces - Creation Space Evolved: Defining Next-Gen Productivity cover image by Hailuo AI Video Generator\\\"\\n              - button \\\"283\\\" [ref=e97]\\n                - image\\n                - StaticText \\\"283\\\"\\n            - generic\\n              - generic [ref=e63] clickable [cursor:pointer]\\n\\n[... 93 more lines truncated, use browser_snapshot for full content]\", \"element_count\": 126}", "tool_call_id": "call_M8BAvPiU6Jim2EKawXiX3lSY", "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "assistant", "content": "", "reasoning": "**Planning a video project**\n\nI think I need to create a realistic video plan that combines AI-generated clips from a free tier with a local renderer. That's a good hybrid approach! I should start coding now and make sure to use fixtures to streamline the process. And, of course, writing tests will be essential to ensure everything runs smoothly. I’ll document this step-by-step so that I can keep track of my progress!", "finish_reason": "tool_calls", "reasoning_content": "**Planning a video project**\n\nI think I need to create a realistic video plan that combines AI-generated clips from a free tier with a local renderer. That's a good hybrid approach! I should start coding now and make sure to use fixtures to streamline the process. And, of course, writing tests will be essential to ensure everything runs smoothly. I’ll document this step-by-step so that I can keep track of my progress!", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqEZDVn2O_oEvwzTU4A30miEtPJz4HqqXipwYkNX2iIAUErDQrim7hm4c5oZUcbsIfGJPPNKv08qOv97DPFNz3rpL12jkWIIONkBSpgwPhJSzhydFMUlNIeudzP-JzbC5TJhWKmWMeqjqT1opEXolN_uIVI77m2IDD0Bd02Urv8PtEVSqOPZiGcNMKvQd1gMbSzmB2Ms3duNa31CuaAei2ldhXrmO4lCYKEZ4XEsfWoYCr-veIUTKfatHCxbyUfsaIb6EeA0FFde6pk2h4NyabrXuTb12vKvF-NuLZyb-Udbuxz7DAIEDhhvVkTuxIN-MgBN4vbnY0rQifYsEy1_s1I68WugSuLyQ-rNGEDzGctK0-XtT_jYP1xspfbhm4Ns-uVoIumT15jBc_tpAkK19QgP9hD4XsZkaG6_B948LwaHyk_X9TcElLdeAT_kn1a0Wc_muASx-_rCAS_35JoVFO5E8_cUFwBqj3xA68FuH7vbdf7n12lAkYDJNXzBPswjGOfJm5IVsFBXYZwToKBv7uNNgMmpHxgiapaXJYbJLYibXGiRXdmwZOioSZTx2Gr5YtefpehymvFxSLclUNopAivzZuJbg5Dr6lmKu6t00Kqssc_s1owDR-whCnrsZDvS6pN_bjfiy8itevo9amC8uWsh1lk84lbn3smF8MXFxq-ynRYKroMyZ0MelrlxnICPXwI2SLXkZNhwtC_yz0tQ0OECgE8RwwC0SwpB8fkE4aB1L95ubSIBsNEfKJdDQjumd6xrBA4G6q_q3V5kWOyQ3Jok4DgqbAIY3O53S-7GmbLyu1gE1x9gWvWCnom49PY2XAX0U6v5UvAxaEOX0TgNLbj_SdXJXn1Zzs2hQVR0UYVc_enlRuOz7mxSy-BcZORmuTzLZzk4mD2Yxhx3BBWQVquc5fB8RP8Do0MsZvPXSQ7Jiw2KhDF88UrR1ZOxoEaSpqkiWAAv29sR1s6JOOzzsPTfXYZsyaU30JSc0VFF7ALpZvn-yIeX7TgLaDEiFdKSYwMJClMjMKfL12Ik8wo7gqqC9QXaSVvD__Kwrz7Oko4JZNwm7HNpGyFJZNNoE7qyMEpI-tZ6_5OwI01cTzR0fHCLmJaW9KIvaC3ZDqHLj16kyc200E6ZS1gnC1GhBlQ0j695PxO4dZqgutXd56lRuBHr7MD1O_4w-d8STMpVY381m_lGZiFyn7m_okJ7mBCC2suIhM5F6E1dgDj85-L2K46iTvJpItGB0wW7FMb6n7dVDjigGLDtiTfy3g6ojGjbbpGDXQ24Ko5p1pJ7BNQMjx_4KvF2yqD8YFreHhNXZviiu8PTdw8OQFphTGpQXhaqM6R_-bvseIttgtgZmXp7ULJq5bZH-w_BtxQSf7Th6GP0RdBZfH6xD00xmGGm9nQ77x5QeJ3Q_tTsLPhni6VhmgR5cyedMLaR1Xi4W2_AC5obsnkJ0dqnsLjSjM78HHz0ETLAaBv5nj5V5hTwWzcQViP23Lccq4S1DN9KqKdeje3PmTXBjG2VdzN7FUJsCUjIoS_BiX3i0z85Lt9Z0NxyoRC0IqubLR_wAzPbt-IsckqovPtOWgHRJVo6352z7inLZoWm6RW677u9umxa8pELsB3Bnohgfpq93x-U64EXgKSE2WXLjOijpWa8Pf7HXtC4UI2Metxjee2JGG0VbfZySEmI3I8gHf1KsSvVUXXIOp3BON0J4Owwl7l6rOP5ljlEmqDD7Y9RWUDsPj8-ALQqqWctQh0tyTopvUfjKcaH9D7cA-fnkkyNBflim-fcLx8Hnd-HNe-ybdXGxuhtkhI_dOgVMSKBhGOpXUT79a1KE1X5C8iYmOAtQI5bGvyD3PAUkmu6O6Vy7J5GgEdDs3YR-bR8XBx_3p-KmX-zVYyS1TecTsRpuxyvhLTL0HcabF09isrYy2nt3g6kxAmGwp5qteMTMXno3hPOCWkGKIUrJ0jRdOHPl12Fj7odmUKeTl2v7YneGxCMX2FjHnUOw_ahO5i-JJK2zAWA71_epw55yVV9XIPouNSasCxMCuhreZDd88k150KvG_4t0Gk8GnWOYoIWkopylmajXXsTUx0ucBA6yUXByZOp3CjH_3hQER4fCJLT7T2Izgw08RTTZJyv6N2WGqlpxf0UfYgUbseQxxepVPxqT6xsQlT-FoVMcHwAqawa9P7zR0dP5zjH_UNrrnCI7a-6D0cOEGL7ryJ9okWcDYVezeGwVDs04ozsFDowWF5EFIEw8dzwUaQpfQbYM8ep0Oi8b65Yl3Nej295kG2gOVnBc7J6EqHA6BBeqPJcWmVrQsgYZsYOLouzWdnY_5yddMojb7aaHOnuoalJq4BF9JGKpzUcm0kEP-faosSOAdDpCtAXYruaTlcNTis5a3ExOXfKMr2qMoabgds_3-3KEhqMHf05ppoapPBA88xQgmGVPb44ycX9eIwcwHHFKndu84_JaHEZJlfn37XFf-DXRqGbeaTQrq2VTP0iLnIEi2S50YC8rGdcQEvykPY2YKtjruhxSAhehE87Eugby_cQhXvA15pTMBZprE9G7Q0A8mx30WB9ObjaNJu25oylRMXvMEqEX_EqI7ULHo4ijg6pohDNTMybWHH16N5K8FtinUkcKAw3D85s9mA9x5a_ifK-zIxNZdgGxc828NZzxdqiyFTWS-HkD28ciur7PQ5Kz6rvYQ2NTpjsvuzgjcWY3iLyGbiovG1q2hPQhd155i6FyHMfj64XZHNTI4VZ5ZaJ5C8SnDoNxNy5Lz981Roy9pZDYbH9hHT1i3bElVQVSQfBaIm5R-bVgDmCibIP03K2OIT3lvCNag-r51SNXNzbRoDUxYqcZFO5UGxHLUfS2nB3JUzQFCPHHzjpiiUwIlcA_esDcDkElXWevrQr2BiVA1EA2l7QXYsxQN7IqJAlT1aLYpcsSkFyvWvb5woQ9daak_n6WRvVif3BMLykNyNRvORBZB2DmfgHfqMhyUCeHYSEK8eHw26pPHICZ6IcpmTRn2SYP3He0APY-KB_7w-hEwYIOeY958HTFmvMTPwrCsuAtDyvUxyg7kj0Jmy1mb60Ig7nmyBeXmg83oOPBX1a9mzuh_2C13ZvnmBVjnj2lBkHhm8wPgmrIncG_CL82mKJIl6erKs4WKcVqbO7uxcEOZZV9Hg4nT-wlrauemaoi078f501Zz9t1Ka-K92DxKMSKVbqikiwRBcgPG16S9BFnoGRVpQyq1_0uVcWFV-tyRL7XPqwYUkxvfJYkCoSULRwCGksvqROJ4PxNai6IreFmFgARuH2pyfcb_K0OLuihm8J3lF9v4-GiRgwxo1v8ys3jlwiiYfFbAgHeKFRk5IOs1FBpwTBkzeqpYoDFCp60kIF_GnUT2MEIuHPgbbAF8y067kzQkKrDmcS5i7urTQhLQPvSOOQEJk7-GWm1RIpzBVoOKJxTYHDhAgGosFsT-f0tpJs5fjS_d1PnIivUs3L3JUVznUZgze5xEl5B5lOQrnHMiP6h_hzYSKLjrd8MR659ehRhdfLbMtbt8SQkg4z10GocRHc410ZgWQXzn9T_gdFGxOS22HhsfrAplYzOqRabjDqBj", "id": "rs_0d1a4d10654d56b4016a1190c94c4c8191b2e97ad29eb80cc6", "summary": [{"type": "summary_text", "text": "**Planning a video project**\n\nI think I need to create a realistic video plan that combines AI-generated clips from a free tier with a local renderer. That's a good hybrid approach! I should start coding now and make sure to use fixtures to streamline the process. And, of course, writing tests will be essential to ensure everything runs smoothly. I’ll document this step-by-step so that I can keep track of my progress!"}]}], "tool_calls": [{"id": "call_F3XYnzi6kHxpLuqIMNh8uh1f", "call_id": "call_F3XYnzi6kHxpLuqIMNh8uh1f", "response_item_id": "fc_0d1a4d10654d56b4016a1190d5cf8c8191b84e62c36da76a6b", "type": "function", "function": {"name": "todo", "arguments": "{\"merge\":true,\"todos\":[{\"content\":\"Free/freemium KI-Video-Tools für realistischere Shorts recherchieren\",\"id\":\"research\",\"status\":\"completed\"},{\"content\":\"Gratis-Workflow-Entscheidung für AutoShortsBot ableiten\",\"id\":\"decide\",\"status\":\"in_progress\"}]}"}}], "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "tool", "name": "todo", "content": "{\"todos\": [{\"id\": \"research\", \"content\": \"Free/freemium KI-Video-Tools für realistischere Shorts recherchieren\", \"status\": \"completed\"}, {\"id\": \"decide\", \"content\": \"Gratis-Workflow-Entscheidung für AutoShortsBot ableiten\", \"status\": \"in_progress\"}, {\"id\": \"implement\", \"content\": \"Provider-/Free-Tier-Registry und Job-Specs im Repo ergänzen\", \"status\": \"pending\"}, {\"id\": \"verify\", \"content\": \"Tests, Artefakte und Git-Status verifizieren\", \"status\": \"pending\"}], \"summary\": {\"total\": 4, \"pending\": 2, \"in_progress\": 1, \"completed\": 1, \"cancelled\": 0}}", "tool_call_id": "call_F3XYnzi6kHxpLuqIMNh8uh1f", "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_wx1IBkzI1ZT37a6Q9UsEcRq8", "call_id": "call_wx1IBkzI1ZT37a6Q9UsEcRq8", "response_item_id": "fc_0d1a4d10654d56b4016a1190d8486c8191979bcd88b11ca349", "type": "function", "function": {"name": "write_file", "arguments": "{\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_free_ai_video_providers.py\",\"content\":\"import json\\nfrom pathlib import Path\\n\\nfrom autoshorts.free_ai_video_providers import (\\n    FREE_AI_VIDEO_PROVIDERS,\\n    build_free_ai_video_handoff,\\n    recommended_provider_order,\\n    write_free_ai_video_handoffs,\\n)\\n\\n\\nFIXTURE = Path(\\\"data/free_production_jobs/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.json\\\")\\n\\n\\ndef _jobs() -> dict:\\n    return json.loads(FIXTURE.read_text(encoding=\\\"utf-8\\\"))\\n\\n\\ndef test_provider_registry_contains_real_free_tier_candidates_from_research():\\n    providers = FREE_AI_VIDEO_PROVIDERS\\n\\n    assert {\\\"pixverse\\\", \\\"pika\\\", \\\"capcut\\\", \\\"hailuo\\\"} <= set(providers)\\n    assert providers[\\\"pika\\\"][\\\"free_tier\\\"][\\\"monthly_credits\\\"] == 80\\n    assert providers[\\\"pika\\\"][\\\"free_tier\\\"][\\\"max_resolution\\\"] == \\\"480p\\\"\\n    assert providers[\\\"pixverse\\\"][\\\"free_tier\\\"][\\\"daily_refresh_credits\\\"] == 90\\n    assert providers[\\\"capcut\\\"][\\\"free_tier\\\"][\\\"hd_export_claimed\\\"] is True\\n    assert all(provider[\\\"cost_policy\\\"] == \\\"free_tier_only_no_paid_topups\\\" for provider in providers.values())\\n    assert all(provider[\\\"automation_mode\\\"] == \\\"manual_browser_handoff\\\" for provider in providers.values())\\n\\n\\ndef test_recommended_provider_order_prioritizes_free_realistic_ai_video_for_cinematic_scenes():\\n    order = recommended_provider_order(\\\"cinematic_ai_video\\\")\\n\\n    assert order[:2] == [\\\"pixverse\\\", \\\"pika\\\"]\\n    assert \\\"capcut\\\" in order\\n    assert \\\"runway\\\" not in order\\n    assert \\\"luma\\\" not in order\\n\\n\\ndef test_free_ai_video_handoff_creates_manual_jobs_for_realistic_clip_scenes_only():\\n    handoff = build_free_ai_video_handoff(_jobs())\\n\\n    assert handoff[\\\"schema_version\\\"] == \\\"free_ai_video_handoff.v1\\\"\\n    assert handoff[\\\"budget_policy\\\"][\\\"paid_topups_allowed\\\"] is False\\n    assert handoff[\\\"video\\\"][\\\"id\\\"] == \\\"hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann\\\"\\n    assert handoff[\\\"hybrid_strategy\\\"][\\\"final_assembly\\\"] == \\\"local_ffmpeg\\\"\\n\\n    ai_jobs = handoff[\\\"ai_video_jobs\\\"]\\n    assert [job[\\\"scene_id\\\"] for job in ai_jobs] == [\\\"scene_01\\\", \\\"scene_02\\\"]\\n    assert all(job[\\\"status\\\"] == \\\"manual_generation_required\\\" for job in ai_jobs)\\n    assert all(job[\\\"provider_order\\\"][:2] == [\\\"pixverse\\\", \\\"pika\\\"] for job in ai_jobs)\\n    assert all(job[\\\"free_tier_guardrails\\\"][\\\"do_not_buy_credits\\\"] is True for job in ai_jobs)\\n    assert all(job[\\\"duration_seconds\\\"] <= 5 for job in ai_jobs)\\n    assert all(\\\"no readable text\\\" in job[\\\"negative_prompt\\\"].lower() for job in ai_jobs)\\n\\n    local_jobs = handoff[\\\"local_jobs\\\"]\\n    assert {job[\\\"asset_mode\\\"] for job in local_jobs} == {\\\"mechanism_animation\\\", \\\"kinetic_text_overlay\\\"}\\n\\n\\ndef test_write_free_ai_video_handoffs_outputs_reviewable_json(tmp_path):\\n    paths = write_free_ai_video_handoffs([_jobs()], tmp_path)\\n\\n    assert len(paths) == 1\\n    payload = json.loads(paths[0].read_text(encoding=\\\"utf-8\\\"))\\n    assert payload[\\\"schema_version\\\"] == \\\"free_ai_video_handoff.v1\\\"\\n    assert payload[\\\"ai_video_jobs\\\"][0][\\\"manual_steps\\\"]\\n\"}"}}], "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "tool", "name": "write_file", "content": "{\"bytes_written\": 2891, \"dirs_created\": true, \"lint\": {\"status\": \"ok\", \"output\": \"\"}, \"lsp_diagnostics\": \"LSP diagnostics introduced by this edit:\\n<diagnostics file=\\\"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_free_ai_video_providers.py\\\">\\nERROR [4:6] Import \\\"autoshorts.free_ai_video_providers\\\" could not be resolved [reportMissingImports] (Pyright)\\n</diagnostics>\"}", "tool_call_id": "call_wx1IBkzI1ZT37a6Q9UsEcRq8", "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_P4QMT9xfpEB2DLSM07hUM1OB", "call_id": "call_P4QMT9xfpEB2DLSM07hUM1OB", "response_item_id": "fc_0d1a4d10654d56b4016a1190ec97388191ba802f17f9c93264", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"pytest tests/test_free_ai_video_providers.py -q\",\"timeout\":120,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}"}}], "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \"==================================== ERRORS ====================================\\n____________ ERROR collecting tests/test_free_ai_video_providers.py ____________\\nImportError while importing test module '/home/agent/jarvis_runtime/AutoShortsBot/tests/test_free_ai_video_providers.py'.\\nHint: make sure your test modules/packages have valid Python names.\\nTraceback:\\n../../.local/share/uv/python/cpython-3.11.15-linux-x86_64-gnu/lib/python3.11/importlib/__init__.py:126: in import_module\\n    return _bootstrap._gcd_import(name[level:], package, level)\\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\ntests/test_free_ai_video_providers.py:4: in <module>\\n    from autoshorts.free_ai_video_providers import (\\nE   ModuleNotFoundError: No module named 'autoshorts.free_ai_video_providers'\\n=========================== short test summary info ============================\\nERROR tests/test_free_ai_video_providers.py\\n!!!!!!!!!!!!!!!!!!!! Interrupted: 1 error during collection !!!!!!!!!!!!!!!!!!!!\\n1 error in 0.12s\", \"exit_code\": 2, \"error\": null}", "tool_call_id": "call_P4QMT9xfpEB2DLSM07hUM1OB", "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_CpE4y7gFWcEvNKSzzoj2ba4N", "call_id": "call_CpE4y7gFWcEvNKSzzoj2ba4N", "response_item_id": "fc_0d1a4d10654d56b4016a1190f0e58481919b21b004dc4da68c", "type": "function", "function": {"name": "todo", "arguments": "{\"merge\":true,\"todos\":[{\"content\":\"Gratis-Workflow-Entscheidung für AutoShortsBot ableiten\",\"id\":\"decide\",\"status\":\"completed\"},{\"content\":\"Provider-/Free-Tier-Registry und Job-Specs im Repo ergänzen\",\"id\":\"implement\",\"status\":\"in_progress\"}]}"}}], "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "tool", "name": "todo", "content": "{\"todos\": [{\"id\": \"research\", \"content\": \"Free/freemium KI-Video-Tools für realistischere Shorts recherchieren\", \"status\": \"completed\"}, {\"id\": \"decide\", \"content\": \"Gratis-Workflow-Entscheidung für AutoShortsBot ableiten\", \"status\": \"completed\"}, {\"id\": \"implement\", \"content\": \"Provider-/Free-Tier-Registry und Job-Specs im Repo ergänzen\", \"status\": \"in_progress\"}, {\"id\": \"verify\", \"content\": \"Tests, Artefakte und Git-Status verifizieren\", \"status\": \"pending\"}], \"summary\": {\"total\": 4, \"pending\": 1, \"in_progress\": 1, \"completed\": 2, \"cancelled\": 0}}", "tool_call_id": "call_CpE4y7gFWcEvNKSzzoj2ba4N", "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_LXNjtrWsZ7bVJwIROUMfBvht", "call_id": "call_LXNjtrWsZ7bVJwIROUMfBvht", "response_item_id": "fc_0d1a4d10654d56b4016a1190f5cb988191a33f7ecc9735b56b", "type": "function", "function": {"name": "write_file", "arguments": "{\"content\":\"\\\"\\\"\\\"Free-tier AI video provider handoff specs.\\n\\nThis module does not automate paid video generation. It creates manual browser\\nhandoff packets for free/freemium AI video tools, then keeps final assembly local.\\nThe intent is a hybrid workflow: realistic short AI clips from free quotas plus\\nlocal mechanism animation/captions/FFmpeg composition.\\n\\\"\\\"\\\"\\n\\nfrom __future__ import annotations\\n\\nimport json\\nfrom pathlib import Path\\nfrom typing import Any\\n\\nfrom autoshorts.script_drafts import _slug\\n\\nFREE_AI_VIDEO_PROVIDERS: dict[str, dict[str, Any]] = {\\n    \\\"pixverse\\\": {\\n        \\\"display_name\\\": \\\"PixVerse\\\",\\n        \\\"url\\\": \\\"https://app.pixverse.ai/\\\",\\n        \\\"source_url\\\": \\\"https://app.pixverse.ai/\\\",\\n        \\\"researched_evidence\\\": \\\"App page showed 90 credits with daily refresh and signup prompt for free credits.\\\",\\n        \\\"cost_policy\\\": \\\"free_tier_only_no_paid_topups\\\",\\n        \\\"automation_mode\\\": \\\"manual_browser_handoff\\\",\\n        \\\"free_tier\\\": {\\n            \\\"daily_refresh_credits\\\": 90,\\n            \\\"signup_required\\\": True,\\n            \\\"best_use\\\": \\\"realistic text/image-to-video short clips\\\",\\n        },\\n        \\\"strengths\\\": [\\\"realistic clips\\\", \\\"daily free quota\\\", \\\"templates\\\", \\\"image-to-video\\\"],\\n        \\\"risks\\\": [\\\"terms and quotas can change\\\", \\\"manual account/login required\\\", \\\"possible watermark depending export path\\\"],\\n    },\\n    \\\"pika\\\": {\\n        \\\"display_name\\\": \\\"Pika\\\",\\n        \\\"url\\\": \\\"https://pika.art/\\\",\\n        \\\"source_url\\\": \\\"https://pika.art/pricing\\\",\\n        \\\"researched_evidence\\\": \\\"Pricing page showed Basic $0 with 80 monthly video credits, Pika 2.5 at 480p only, no-watermark downloads, and commercial use.\\\",\\n        \\\"cost_policy\\\": \\\"free_tier_only_no_paid_topups\\\",\\n        \\\"automation_mode\\\": \\\"manual_browser_handoff\\\",\\n        \\\"free_tier\\\": {\\n            \\\"monthly_credits\\\": 80,\\n            \\\"max_resolution\\\": \\\"480p\\\",\\n            \\\"text_to_video_5s_credits\\\": 12,\\n            \\\"watermark_free_claimed\\\": True,\\n            \\\"commercial_use_claimed\\\": True,\\n            \\\"signup_required\\\": True,\\n        },\\n        \\\"strengths\\\": [\\\"no-watermark claim\\\", \\\"commercial-use claim\\\", \\\"good fallback for 5s shots\\\"],\\n        \\\"risks\\\": [\\\"low 480p free resolution\\\", \\\"monthly quota is small\\\", \\\"manual account/login required\\\"],\\n    },\\n    \\\"capcut\\\": {\\n        \\\"display_name\\\": \\\"CapCut AI Video Maker\\\",\\n        \\\"url\\\": \\\"https://www.capcut.com/tools/ai-video-generator\\\",\\n        \\\"source_url\\\": \\\"https://www.capcut.com/tools/ai-video-generator\\\",\\n        \\\"researched_evidence\\\": \\\"CapCut tool page describes a free AI video generator and says final videos can be exported in HD quality for free.\\\",\\n        \\\"cost_policy\\\": \\\"free_tier_only_no_paid_topups\\\",\\n        \\\"automation_mode\\\": \\\"manual_browser_handoff\\\",\\n        \\\"free_tier\\\": {\\n            \\\"hd_export_claimed\\\": True,\\n            \\\"credit_amount_publicly_clear\\\": False,\\n            \\\"best_use\\\": \\\"editorial assembly, templates, captions, quick drafts\\\",\\n            \\\"signup_required\\\": True,\\n        },\\n        \\\"strengths\\\": [\\\"HD export claim\\\", \\\"editing/captions/templates\\\", \\\"easy manual polishing\\\"],\\n        \\\"risks\\\": [\\\"free quota not clearly exposed on public page\\\", \\\"may upsell Pro assets\\\", \\\"manual export required\\\"],\\n    },\\n    \\\"hailuo\\\": {\\n        \\\"display_name\\\": \\\"Hailuo AI\\\",\\n        \\\"url\\\": \\\"https://hailuoai.video/\\\",\\n        \\\"source_url\\\": \\\"https://hailuoai.video/\\\",\\n        \\\"researched_evidence\\\": \\\"Public generator page exposed 768p/6s generation controls and a visible 25-credit create cost, suitable only if free account credits are available.\\\",\\n        \\\"cost_policy\\\": \\\"free_tier_only_no_paid_topups\\\",\\n        \\\"automation_mode\\\": \\\"manual_browser_handoff\\\",\\n        \\\"free_tier\\\": {\\n            \\\"default_visible_generation_cost_credits\\\": 25,\\n            \\\"signup_required\\\": True,\\n            \\\"use_only_existing_free_credits\\\": True,\\n        },\\n        \\\"strengths\\\": [\\\"realistic generator\\\", \\\"768p/6s option visible\\\"],\\n        \\\"risks\\\": [\\\"do not buy credits\\\", \\\"free quota may vary\\\", \\\"user explicitly wants no paid Hailuo credits\\\"],\\n    },\\n}\\n\\nPAID_OR_UNSUITABLE_FOR_FREE_FIRST = {\\\"runway\\\", \\\"luma\\\", \\\"kling\\\", \\\"veo\\\", \\\"sora\\\"}\\nAI_VIDEO_SCENE_MODES = {\\\"cinematic_ai_video\\\"}\\nLOCAL_SCENE_MODES = {\\\"mechanism_animation\\\", \\\"kinetic_text_overlay\\\", \\\"screen_recording_simulation\\\", \\\"animated_card\\\"}\\n\\n\\ndef recommended_provider_order(asset_mode: str) -> list[str]:\\n    \\\"\\\"\\\"Return provider preference for a scene mode under free-tier constraints.\\\"\\\"\\\"\\n    if asset_mode == \\\"cinematic_ai_video\\\":\\n        return [\\\"pixverse\\\", \\\"pika\\\", \\\"capcut\\\", \\\"hailuo\\\"]\\n    if asset_mode == \\\"mechanism_animation\\\":\\n        return [\\\"local_renderer\\\", \\\"capcut\\\"]\\n    return [\\\"local_renderer\\\"]\\n\\n\\ndef _local_render_jobs(production_jobs: dict[str, Any]) -> list[dict[str, Any]]:\\n    return [job for job in production_jobs[\\\"jobs\\\"] if job[\\\"provider\\\"] in {\\\"local_renderer\\\", \\\"local_ffmpeg\\\"}]\\n\\n\\ndef _duration_for_free_ai(job: dict[str, Any]) -> float:\\n    # Most free-tier AI video tools are strongest around 5s clips. Longer scenes\\n    # should be split later; the current pilot only needs two short cinematic clips.\\n    return min(5.0, float(job[\\\"duration_seconds\\\"]))\\n\\n\\ndef _provider_notes(provider_id: str) -> dict[str, Any]:\\n    provider = FREE_AI_VIDEO_PROVIDERS[provider_id]\\n    return {\\n        \\\"provider\\\": provider_id,\\n        \\\"display_name\\\": provider[\\\"display_name\\\"],\\n        \\\"url\\\": provider[\\\"url\\\"],\\n        \\\"free_tier\\\": provider[\\\"free_tier\\\"],\\n        \\\"risks\\\": provider[\\\"risks\\\"],\\n    }\\n\\n\\ndef _ai_video_job(job: dict[str, Any]) -> dict[str, Any]:\\n    provider_order = recommended_provider_order(job[\\\"asset_mode\\\"])\\n    return {\\n        \\\"job_id\\\": f\\\"{job['scene_id']}_free_ai_video_handoff\\\",\\n        \\\"scene_id\\\": job[\\\"scene_id\\\"],\\n        \\\"asset_mode\\\": job[\\\"asset_mode\\\"],\\n        \\\"status\\\": \\\"manual_generation_required\\\",\\n        \\\"duration_seconds\\\": _duration_for_free_ai(job),\\n        \\\"aspect_ratio\\\": \\\"9:16\\\",\\n        \\\"preferred_resolution\\\": \\\"480p_or_best_free_available\\\",\\n        \\\"provider_order\\\": provider_order,\\n        \\\"providers\\\": [_provider_notes(provider_id) for provider_id in provider_order],\\n        \\\"prompt\\\": _free_ai_prompt(job),\\n        \\\"negative_prompt\\\": job[\\\"negative_prompt\\\"],\\n        \\\"overlay_text\\\": job[\\\"overlay_text\\\"],\\n        \\\"free_tier_guardrails\\\": {\\n            \\\"do_not_buy_credits\\\": True,\\n            \\\"use_only_free_daily_or_monthly_quota\\\": True,\\n            \\\"avoid_pro_templates_or_paid_assets\\\": True,\\n            \\\"export_without_baked_captions\\\": True,\\n            \\\"final_captions_added_locally\\\": True,\\n        },\\n        \\\"manual_steps\\\": [\\n            \\\"Open the first available provider in provider_order.\\\",\\n            \\\"Use text-to-video or image-to-video with the prompt below; choose vertical 9:16 if available.\\\",\\n            \\\"Set duration to the requested scene duration or the nearest free option, usually 5s.\\\",\\n            \\\"Do not buy credits, subscribe, or select paid-only models/templates.\\\",\\n            \\\"Download the clip, then place it under data/imported_ai_clips/<video_id>/<scene_id>.mp4 for local assembly.\\\",\\n        ],\\n        \\\"expected_clip_path\\\": f\\\"data/imported_ai_clips/{{video_id}}/{job['scene_id']}.mp4\\\",\\n    }\\n\\n\\ndef _free_ai_prompt(job: dict[str, Any]) -> str:\\n    return (\\n        f\\\"Vertical 9:16 realistic cinematic short video, {job['source_prompt']} \\\"\\n        \\\"No captions, no readable text, no logos, no watermarks. Leave clean negative space in the lower third for captions. \\\"\\n        \\\"The clip should feel like real b-roll for a mechanism explainer, not a slideshow.\\\"\\n    )\\n\\n\\ndef build_free_ai_video_handoff(production_jobs: dict[str, Any]) -> dict[str, Any]:\\n    \\\"\\\"\\\"Build a manual free-tier AI video handoff while keeping local assembly.\\\"\\\"\\\"\\n    local_jobs = _local_render_jobs(production_jobs)\\n    ai_jobs = [job for job in local_jobs if job[\\\"asset_mode\\\"] in AI_VIDEO_SCENE_MODES]\\n    fallback_local_jobs = [job for job in local_jobs if job[\\\"asset_mode\\\"] not in AI_VIDEO_SCENE_MODES]\\n    return {\\n        \\\"schema_version\\\": \\\"free_ai_video_handoff.v1\\\",\\n        \\\"video\\\": production_jobs[\\\"video\\\"],\\n        \\\"budget_policy\\\": {\\n            \\\"paid_topups_allowed\\\": False,\\n            \\\"paid_subscriptions_allowed\\\": False,\\n            \\\"allowed_strategy\\\": \\\"free_tier_manual_generation_plus_local_assembly\\\",\\n            \\\"local_fallback_required\\\": True,\\n        },\\n        \\\"researched_sources\\\": [\\n            {\\\"provider\\\": key, \\\"source_url\\\": value[\\\"source_url\\\"], \\\"evidence\\\": value[\\\"researched_evidence\\\"]}\\n            for key, value in FREE_AI_VIDEO_PROVIDERS.items()\\n        ],\\n        \\\"hybrid_strategy\\\": {\\n            \\\"realistic_clip_source\\\": \\\"free_tier_ai_video_tools_manual_handoff\\\",\\n            \\\"mechanism_explainer_source\\\": \\\"local_renderer\\\",\\n            \\\"captions\\\": \\\"local_kinetic_renderer_overlay\\\",\\n            \\\"final_assembly\\\": \\\"local_ffmpeg\\\",\\n        },\\n        \\\"ai_video_jobs\\\": [_ai_video_job(job) for job in ai_jobs],\\n        \\\"local_jobs\\\": [\\n            {\\n                \\\"scene_id\\\": job[\\\"scene_id\\\"],\\n                \\\"asset_mode\\\": job[\\\"asset_mode\\\"],\\n                \\\"provider\\\": job[\\\"provider\\\"],\\n                \\\"execution_mode\\\": job[\\\"execution_mode\\\"],\\n                \\\"duration_seconds\\\": job[\\\"duration_seconds\\\"],\\n                \\\"role\\\": \\\"local_mechanism_or_caption_layer\\\",\\n            }\\n            for job in fallback_local_jobs\\n        ],\\n    }\\n\\n\\ndef _handoff_filename(video: dict[str, Any]) -> str:\\n    title_slug = _slug(video[\\\"title\\\"])\\n    video_id = video[\\\"id\\\"]\\n    if video_id.endswith(title_slug):\\n        return f\\\"{video_id}.json\\\"\\n    return f\\\"{video_id}-{title_slug}.json\\\"\\n\\n\\ndef write_free_ai_video_handoffs(production_jobs_list: list[dict[str, Any]], output_dir: Path) -> list[Path]:\\n    \\\"\\\"\\\"Write free-tier AI video handoff packets as JSON files.\\\"\\\"\\\"\\n    output_dir.mkdir(parents=True, exist_ok=True)\\n    paths: list[Path] = []\\n    for production_jobs in production_jobs_list:\\n        handoff = build_free_ai_video_handoff(production_jobs)\\n        path = output_dir / _handoff_filename(handoff[\\\"video\\\"])\\n        path.write_text(json.dumps(handoff, indent=2, ensure_ascii=False) + \\\"\\\\n\\\", encoding=\\\"utf-8\\\")\\n        paths.append(path)\\n    return paths\\n\",\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/free_ai_video_providers.py\"}"}}], "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "tool", "name": "write_file", "content": "{\"bytes_written\": 9966, \"dirs_created\": true, \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_LXNjtrWsZ7bVJwIROUMfBvht", "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_rObi1YwQ209yMgUramWGsylL", "call_id": "call_rObi1YwQ209yMgUramWGsylL", "response_item_id": "fc_0d1a4d10654d56b4016a11912c2c708191b2418d1ffbc1fff6", "type": "function", "function": {"name": "write_file", "arguments": "{\"content\":\"\\\"\\\"\\\"Generate manual free-tier AI video handoff packets.\\\"\\\"\\\"\\n\\nfrom __future__ import annotations\\n\\nimport argparse\\nimport json\\nimport sys\\nfrom pathlib import Path\\n\\nPROJECT_ROOT = Path(__file__).resolve().parents[1]\\nif str(PROJECT_ROOT) not in sys.path:\\n    sys.path.insert(0, str(PROJECT_ROOT))\\n\\nfrom autoshorts.free_ai_video_providers import write_free_ai_video_handoffs\\n\\n\\ndef _load_jobs(path: Path) -> list[dict]:\\n    files = sorted(path.glob(\\\"*.json\\\")) if path.is_dir() else [path]\\n    return [json.loads(file.read_text(encoding=\\\"utf-8\\\")) for file in files]\\n\\n\\ndef main() -> None:\\n    parser = argparse.ArgumentParser(description=\\\"Generate free-tier AI video handoff specs.\\\")\\n    parser.add_argument(\\\"--jobs\\\", default=\\\"data/free_production_jobs/mechanism_pilots\\\")\\n    parser.add_argument(\\\"--out\\\", default=\\\"data/free_ai_video_handoffs/mechanism_pilots\\\")\\n    args = parser.parse_args()\\n\\n    production_jobs = _load_jobs(Path(args.jobs))\\n    paths = write_free_ai_video_handoffs(production_jobs, Path(args.out))\\n    print(f\\\"Generated {len(paths)} free AI video handoff specs in {args.out}\\\")\\n    for path in paths:\\n        print(path)\\n\\n\\nif __name__ == \\\"__main__\\\":\\n    main()\\n\",\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/scripts/generate_free_ai_video_handoffs.py\"}"}}], "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "tool", "name": "write_file", "content": "{\"bytes_written\": 1169, \"dirs_created\": true, \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_rObi1YwQ209yMgUramWGsylL", "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_q0GXYu3pdvD9aZHpkhJIiHil", "call_id": "call_q0GXYu3pdvD9aZHpkhJIiHil", "response_item_id": "fc_0d1a4d10654d56b4016a119137c7188191ad78722c2fff4b95", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"pytest tests/test_free_ai_video_providers.py -q\",\"timeout\":120,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}"}}], "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \"....                                                                     [100%]\\n4 passed in 0.05s\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_q0GXYu3pdvD9aZHpkhJIiHil", "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_yZh3Qu8O3GaST55obknM64zu", "call_id": "call_yZh3Qu8O3GaST55obknM64zu", "response_item_id": "fc_0d1a4d10654d56b4016a11913bb34881919a2548ecb29e3c03", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"python scripts/generate_free_ai_video_handoffs.py --jobs data/free_production_jobs/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.json --out data/free_ai_video_handoffs/mechanism_pilots && pytest tests/ -q\",\"timeout\":300,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}"}}], "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \"Generated 1 free AI video handoff specs in data/free_ai_video_handoffs/mechanism_pilots\\ndata/free_ai_video_handoffs/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.json\\n.......................................................                  [100%]\\n55 passed in 3.53s\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_yZh3Qu8O3GaST55obknM64zu", "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_ADyyDFsTNZhP36eAfISJVFtH", "call_id": "call_ADyyDFsTNZhP36eAfISJVFtH", "response_item_id": "fc_0d1a4d10654d56b4016a119144010c8191ac97a39f0f935d8c", "type": "function", "function": {"name": "read_file", "arguments": "{\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/data/free_ai_video_handoffs/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.json\",\"limit\":240}"}}], "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "tool", "name": "read_file", "content": "{\"content\": \"     1|{\\n     2|  \\\"schema_version\\\": \\\"free_ai_video_handoff.v1\\\",\\n     3|  \\\"video\\\": {\\n     4|    \\\"id\\\": \\\"hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann\\\",\\n     5|    \\\"title\\\": \\\"Warum ein billiges Auto teuer sein kann\\\",\\n     6|    \\\"pillar\\\": \\\"hidden_money_systems\\\",\\n     7|    \\\"duration_ms\\\": 34000,\\n     8|    \\\"aspect_ratio\\\": \\\"9:16\\\",\\n     9|    \\\"resolution\\\": {\\n    10|      \\\"width\\\": 1080,\\n    11|      \\\"height\\\": 1920\\n    12|    },\\n    13|    \\\"fps\\\": 30\\n    14|  },\\n    15|  \\\"budget_policy\\\": {\\n    16|    \\\"paid_topups_allowed\\\": false,\\n    17|    \\\"paid_subscriptions_allowed\\\": false,\\n    18|    \\\"allowed_strategy\\\": \\\"free_tier_manual_generation_plus_local_assembly\\\",\\n    19|    \\\"local_fallback_required\\\": true\\n    20|  },\\n    21|  \\\"researched_sources\\\": [\\n    22|    {\\n    23|      \\\"provider\\\": \\\"pixverse\\\",\\n    24|      \\\"source_url\\\": \\\"https://app.pixverse.ai/\\\",\\n    25|      \\\"evidence\\\": \\\"App page showed 90 credits with daily refresh and signup prompt for free credits.\\\"\\n    26|    },\\n    27|    {\\n    28|      \\\"provider\\\": \\\"pika\\\",\\n    29|      \\\"source_url\\\": \\\"https://pika.art/pricing\\\",\\n    30|      \\\"evidence\\\": \\\"Pricing page showed Basic $0 with 80 monthly video credits, Pika 2.5 at 480p only, no-watermark downloads, and commercial use.\\\"\\n    31|    },\\n    32|    {\\n    33|      \\\"provider\\\": \\\"capcut\\\",\\n    34|      \\\"source_url\\\": \\\"https://www.capcut.com/tools/ai-video-generator\\\",\\n    35|      \\\"evidence\\\": \\\"CapCut tool page describes a free AI video generator and says final videos can be exported in HD quality for free.\\\"\\n    36|    },\\n    37|    {\\n    38|      \\\"provider\\\": \\\"hailuo\\\",\\n    39|      \\\"source_url\\\": \\\"https://hailuoai.video/\\\",\\n    40|      \\\"evidence\\\": \\\"Public generator page exposed 768p/6s generation controls and a visible 25-credit create cost, suitable only if free account credits are available.\\\"\\n    41|    }\\n    42|  ],\\n    43|  \\\"hybrid_strategy\\\": {\\n    44|    \\\"realistic_clip_source\\\": \\\"free_tier_ai_video_tools_manual_handoff\\\",\\n    45|    \\\"mechanism_explainer_source\\\": \\\"local_renderer\\\",\\n    46|    \\\"captions\\\": \\\"local_kinetic_renderer_overlay\\\",\\n    47|    \\\"final_assembly\\\": \\\"local_ffmpeg\\\"\\n    48|  },\\n    49|  \\\"ai_video_jobs\\\": [\\n    50|    {\\n    51|      \\\"job_id\\\": \\\"scene_01_free_ai_video_handoff\\\",\\n    52|      \\\"scene_id\\\": \\\"scene_01\\\",\\n    53|      \\\"asset_mode\\\": \\\"cinematic_ai_video\\\",\\n    54|      \\\"status\\\": \\\"manual_generation_required\\\",\\n    55|      \\\"duration_seconds\\\": 1.4,\\n    56|      \\\"aspect_ratio\\\": \\\"9:16\\\",\\n    57|      \\\"preferred_resolution\\\": \\\"480p_or_best_free_available\\\",\\n    58|      \\\"provider_order\\\": [\\n    59|        \\\"pixverse\\\",\\n    60|        \\\"pika\\\",\\n    61|        \\\"capcut\\\",\\n    62|        \\\"hailuo\\\"\\n    63|      ],\\n    64|      \\\"providers\\\": [\\n    65|        {\\n    66|          \\\"provider\\\": \\\"pixverse\\\",\\n    67|          \\\"display_name\\\": \\\"PixVerse\\\",\\n    68|          \\\"url\\\": \\\"https://app.pixverse.ai/\\\",\\n    69|          \\\"free_tier\\\": {\\n    70|            \\\"daily_refresh_credits\\\": 90,\\n    71|            \\\"signup_required\\\": true,\\n    72|            \\\"best_use\\\": \\\"realistic text/image-to-video short clips\\\"\\n    73|          },\\n    74|          \\\"risks\\\": [\\n    75|            \\\"terms and quotas can change\\\",\\n    76|            \\\"manual account/login required\\\",\\n    77|            \\\"possible watermark depending export path\\\"\\n    78|          ]\\n    79|        },\\n    80|        {\\n    81|          \\\"provider\\\": \\\"pika\\\",\\n    82|          \\\"display_name\\\": \\\"Pika\\\",\\n    83|          \\\"url\\\": \\\"https://pika.art/\\\",\\n    84|          \\\"free_tier\\\": {\\n    85|            \\\"monthly_credits\\\": 80,\\n    86|            \\\"max_resolution\\\": \\\"480p\\\",\\n    87|            \\\"text_to_video_5s_credits\\\": 12,\\n    88|            \\\"watermark_free_claimed\\\": true,\\n    89|            \\\"commercial_use_claimed\\\": true,\\n    90|            \\\"signup_required\\\": true\\n    91|          },\\n    92|          \\\"risks\\\": [\\n    93|            \\\"low 480p free resolution\\\",\\n    94|            \\\"monthly quota is small\\\",\\n    95|            \\\"manual account/login required\\\"\\n    96|          ]\\n    97|        },\\n    98|        {\\n    99|          \\\"provider\\\": \\\"capcut\\\",\\n   100|          \\\"display_name\\\": \\\"CapCut AI Video Maker\\\",\\n   101|          \\\"url\\\": \\\"https://www.capcut.com/tools/ai-video-generator\\\",\\n   102|          \\\"free_tier\\\": {\\n   103|            \\\"hd_export_claimed\\\": true,\\n   104|            \\\"credit_amount_publicly_clear\\\": false,\\n   105|            \\\"best_use\\\": \\\"editorial assembly, templates, captions, quick drafts\\\",\\n   106|            \\\"signup_required\\\": true\\n   107|          },\\n   108|          \\\"risks\\\": [\\n   109|            \\\"free quota not clearly exposed on public page\\\",\\n   110|            \\\"may upsell Pro assets\\\",\\n   111|            \\\"manual export required\\\"\\n   112|          ]\\n   113|        },\\n   114|        {\\n   115|          \\\"provider\\\": \\\"hailuo\\\",\\n   116|          \\\"display_name\\\": \\\"Hailuo AI\\\",\\n   117|          \\\"url\\\": \\\"https://hailuoai.video/\\\",\\n   118|          \\\"free_tier\\\": {\\n   119|            \\\"default_visible_generation_cost_credits\\\": 25,\\n   120|            \\\"signup_required\\\": true,\\n   121|            \\\"use_only_existing_free_credits\\\": true\\n   122|          },\\n   123|          \\\"risks\\\": [\\n   124|            \\\"do not buy credits\\\",\\n   125|            \\\"free quota may vary\\\",\\n   126|            \\\"user explicitly wants no paid Hailuo credits\\\"\\n   127|          ]\\n   128|        }\\n   129|      ],\\n   130|      \\\"prompt\\\": \\\"Vertical 9:16 realistic cinematic short video, Vertical 9:16 cinematic-looking local motion scene, a realistic creator at a desk late evening, laptop open to an AI chat, thoughtful but in control, hands moving between keyboard and notebook. Mood: focused, modern, high-retention social video, dramatic lighting simulated with gradients and shadows. Scene intent: 3D car x-ray with price tag layers and risk meters freezes mid-action with warning signal. Camera: slow handheld push-in, subtle parallax, natural micro-movements. Use local procedural animation/parallax rather than paid AI-video credits; keep captions renderer-overlay only. No captions, no readable text, no logos, no watermarks. Leave clean negative space in the lower third for captions. The clip should feel like real b-roll for a mechanism explainer, not a slideshow.\\\",\\n   131|      \\\"negative_prompt\\\": \\\"no readable text, no subtitles, no logos, no watermarks, no distorted hands, no fake UI text, no slideshow, no static image, no uncanny faces\\\",\\n   132|      \\\"overlay_text\\\": \\\"Dieser Occasion-Käufer denkt, er spart 4'000 Franken.\\\",\\n   133|      \\\"free_tier_guardrails\\\": {\\n   134|        \\\"do_not_buy_credits\\\": true,\\n   135|        \\\"use_only_free_daily_or_monthly_quota\\\": true,\\n   136|        \\\"avoid_pro_templates_or_paid_assets\\\": true,\\n   137|        \\\"export_without_baked_captions\\\": true,\\n   138|        \\\"final_captions_added_locally\\\": true\\n   139|      },\\n   140|      \\\"manual_steps\\\": [\\n   141|        \\\"Open the first available provider in provider_order.\\\",\\n   142|        \\\"Use text-to-video or image-to-video with the prompt below; choose vertical 9:16 if available.\\\",\\n   143|        \\\"Set duration to the requested scene duration or the nearest free option, usually 5s.\\\",\\n   144|        \\\"Do not buy credits, subscribe, or select paid-only models/templates.\\\",\\n   145|        \\\"Download the clip, then place it under data/imported_ai_clips/<video_id>/<scene_id>.mp4 for local assembly.\\\"\\n   146|      ],\\n   147|      \\\"expected_clip_path\\\": \\\"data/imported_ai_clips/{video_id}/scene_01.mp4\\\"\\n   148|    },\\n   149|    {\\n   150|      \\\"job_id\\\": \\\"scene_02_free_ai_video_handoff\\\",\\n   151|      \\\"scene_id\\\": \\\"scene_02\\\",\\n   152|      \\\"asset_mode\\\": \\\"cinematic_ai_video\\\",\\n   153|      \\\"status\\\": \\\"manual_generation_required\\\",\\n   154|      \\\"duration_seconds\\\": 3.6,\\n   155|      \\\"aspect_ratio\\\": \\\"9:16\\\",\\n   156|      \\\"preferred_resolution\\\": \\\"480p_or_best_free_available\\\",\\n   157|      \\\"provider_order\\\": [\\n   158|        \\\"pixverse\\\",\\n   159|        \\\"pika\\\",\\n   160|        \\\"capcut\\\",\\n   161|        \\\"hailuo\\\"\\n   162|      ],\\n   163|      \\\"providers\\\": [\\n   164|        {\\n   165|          \\\"provider\\\": \\\"pixverse\\\",\\n   166|          \\\"display_name\\\": \\\"PixVerse\\\",\\n   167|          \\\"url\\\": \\\"https://app.pixverse.ai/\\\",\\n   168|          \\\"free_tier\\\": {\\n   169|            \\\"daily_refresh_credits\\\": 90,\\n   170|            \\\"signup_required\\\": true,\\n   171|            \\\"best_use\\\": \\\"realistic text/image-to-video short clips\\\"\\n   172|          },\\n   173|          \\\"risks\\\": [\\n   174|            \\\"terms and quotas can change\\\",\\n   175|            \\\"manual account/login required\\\",\\n   176|            \\\"possible watermark depending export path\\\"\\n   177|          ]\\n   178|        },\\n   179|        {\\n   180|          \\\"provider\\\": \\\"pika\\\",\\n   181|          \\\"display_name\\\": \\\"Pika\\\",\\n   182|          \\\"url\\\": \\\"https://pika.art/\\\",\\n   183|          \\\"free_tier\\\": {\\n   184|            \\\"monthly_credits\\\": 80,\\n   185|            \\\"max_resolution\\\": \\\"480p\\\",\\n   186|            \\\"text_to_video_5s_credits\\\": 12,\\n   187|            \\\"watermark_free_claimed\\\": true,\\n   188|            \\\"commercial_use_claimed\\\": true,\\n   189|            \\\"signup_required\\\": true\\n   190|          },\\n   191|          \\\"risks\\\": [\\n   192|            \\\"low 480p free resolution\\\",\\n   193|            \\\"monthly quota is small\\\",\\n   194|            \\\"manual account/login required\\\"\\n   195|          ]\\n   196|        },\\n   197|        {\\n   198|          \\\"provider\\\": \\\"capcut\\\",\\n   199|          \\\"display_name\\\": \\\"CapCut AI Video Maker\\\",\\n   200|          \\\"url\\\": \\\"https://www.capcut.com/tools/ai-video-generator\\\",\\n   201|          \\\"free_tier\\\": {\\n   202|            \\\"hd_export_claimed\\\": true,\\n   203|            \\\"credit_amount_publicly_clear\\\": false,\\n   204|            \\\"best_use\\\": \\\"editorial assembly, templates, captions, quick drafts\\\",\\n   205|            \\\"signup_required\\\": true\\n   206|          },\\n   207|          \\\"risks\\\": [\\n   208|            \\\"free quota not clearly exposed on public page\\\",\\n   209|            \\\"may upsell Pro assets\\\",\\n   210|            \\\"manual export required\\\"\\n   211|          ]\\n   212|        },\\n   213|        {\\n   214|          \\\"provider\\\": \\\"hailuo\\\",\\n   215|          \\\"display_name\\\": \\\"Hailuo AI\\\",\\n   216|          \\\"url\\\": \\\"https://hailuoai.video/\\\",\\n   217|          \\\"free_tier\\\": {\\n   218|            \\\"default_visible_generation_cost_credits\\\": 25,\\n   219|            \\\"signup_required\\\": true,\\n   220|            \\\"use_only_existing_free_credits\\\": true\\n   221|          },\\n   222|          \\\"risks\\\": [\\n   223|            \\\"do not buy credits\\\",\\n   224|            \\\"free quota may vary\\\",\\n   225|            \\\"user explicitly wants no paid Hailuo credits\\\"\\n   226|          ]\\n   227|        }\\n   228|      ],\\n   229|      \\\"prompt\\\": \\\"Vertical 9:16 realistic cinematic short video, Vertical 9:16 cinematic-looking local motion scene, a realistic creator at a desk late evening, laptop open to an AI chat, thoughtful but in control, hands moving between keyboard and notebook. Mood: focused, modern, high-retention social video, dramatic lighting simulated with gradients and shadows. Scene intent: surface layer peels away to reveal the hidden system underneath. Camera: slow handheld push-in, subtle parallax, natural micro-movements. Use local procedural animation/parallax rather than paid AI-video credits; keep captions renderer-overlay only. No captions, no readable text, no logos, no watermarks. Leave clean negative space in the lower third for captions. The clip should feel like real b-roll for a mechanism explainer, not a slideshow.\\\",\\n   230|      \\\"negative_prompt\\\": \\\"no readable text, no subtitles, no logos, no watermarks, no distorted hands, no fake UI text, no slideshow, no static image, no uncanny faces\\\",\\n   231|      \\\"overlay_text\\\": \\\"Das sieht harmlos aus, bis du den Mechanismus dahinter siehst.\\\",\\n   232|      \\\"free_tier_guardrails\\\": {\\n   233|        \\\"do_not_buy_credits\\\": true,\\n   234|        \\\"use_only_free_daily_or_monthly_quota\\\": true,\\n   235|        \\\"avoid_pro_templates_or_paid_assets\\\": true,\\n   236|        \\\"export_without_baked_captions\\\": true,\\n   237|        \\\"final_captions_added_locally\\\": true\\n   238|      },\\n   239|      \\\"manual_steps\\\": [\\n   240|        \\\"Open the first available provider in provider_order.\\\",\\n   241|\", \"total_lines\": 275, \"file_size\": 11597, \"truncated\": true, \"hint\": \"Use offset=241 to continue reading (showing 1-240 of 275 lines)\", \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_ADyyDFsTNZhP36eAfISJVFtH", "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqEZFLNErbE1YH-G6Zk_TvI1a8Rwl-UG95gLZJUAsJ0oiJ7Ay2u-Q6GMiMRm9x7-WCAEO5w6VKsE3Q20gAcH-wEAmAsQFHRo-7-Q8pqMDe0O-7GOM1-jNE6vaeAJlMA-LmlaNujICsLqp6e2OofRnVNZfn-9Hexv4Ew_pncpF13DBWHbgUVX-4RTROnzccFy6XBJaw_USvTCWib_Tgs4R8AgJ6VyULHEzESlTdpsMUVcA3MR-lljWOEPClzP4diMK2wf7TGI9Pl25D4affmW9ZM6KN9jgLHiznks_DmytSvwtNm5EOtyiLguEIbaQDm9kzgEa5tYUY-1s_eVAmsia6RARi8BL1IQtcFID8YIV7Ebzc_iPqWwn2CXu4b7gJ7JtupndKsFViGzapVc6QVyH2sBsplbq2c9vWHG-envwJH9bWZaD0XJwYXEufCeAtTv6cfnabzvXzOroQhw4SWfr7ClbEFEvMhOcBlJyax80PnMpUFuPw1MgKA3XTj4AG7R05rQjEb8xycITmd1ywUuBj3YfYYTyJJYKTaSCibdG4zmMyWr8HU7gOFKUV3PUVctuRdlquBi7_VLC5l0otOFfaJbGilVHXctFM0HMv8OC76Qmyr3uIHgLVYRMOWOBneIahIoo2sL8Z7E2rXwXSsN0rNeU3HOCLhF7QIcrVaOdwcTafCbSsMKi3tc-Awh35t9nekKe17XKl85L6agjb5hShAs8iL3JxVwtZ79BbDrdOuM-GnQNumim94lTrVfyTuKSsWZ6m9d2ZRKT-QCS2X_G8FFo5uzisvDyT1GFCGp8l4fhOtayjXmFJHWIa0FL6BqgBFHzlV25IolJWbRsx0JkQYlbA8zW2tZ9ORYnI6GXj1pUTveKb3w4go5WTP1KHpca74A7z6djwpw98e2fuLAoywibhTjiPtxG_avMvZLDUo33pMP6psrEO7pwziIPTV9g3C4Mqj1htoqlIaFbspnzpjEJLByzfam83EgDgUUf4IUj-HJZ_Bk0_cwhSLIH5TkBc3kg1ioPWYFuLTimXGLT4J8K0SXvJL_I42RuwJ8eNelcmbtEsQa9dYmgrGZon8FD1ZUIu94XkbUoCXMjuz7PRtp-8uy7vI6WUi6PMqOAuBVP4tjh1R1GCwJTBSuSV26QIRKRVDkDhRrO7MZIRdQhC0KPd74t4l8gtlsNaDenrS3Tp-QawF9uktgGcfBvC4gdWkMgQPH1lpS3VDhg5_g8yispRZpqTIJCz63eGSKqPRQ0y270AdVlijQOirVGIyF0IXS_onfPfLbLHueNXvNC5xNsMUVHHM3Qa_RpFNhVJ-cJWnRg9LE-iktFKsldSl4zcAH-iYex4t-OM2_3imvyYms0rZHp-RNEnHGTpkTKuFxJnF2o0i4vkfday785w7HtRhBkXhGH-C7kYIlWNwXHPDWKsNlAZThFRTEkjVrCnc6ueWTsFFTxB0h7ifatiAQ-xrWXpYn7zEyFnFoEPfs0iTAR7Vp2LTq7dj6PPSFlpJFM-xrDgpAPSoc1FjRoVZ4Iosgs3VjiQDEkkCSFjgb4Zj01lLNgtrN8ex9BfhK8NO4eguwx3LdGhcL892jF-GXMmRvaAhlWboSPYDGZ0fZKHhnCcKQ==", "id": "rs_0d1a4d10654d56b4016a11914877a08191a62468b1b641bcbe", "summary": []}], "tool_calls": [{"id": "call_LoqjIXRmJsfXtgVwqxSDqGIY", "call_id": "call_LoqjIXRmJsfXtgVwqxSDqGIY", "response_item_id": "fc_0d1a4d10654d56b4016a11914b02f881919e9fb4ce6db58bd0", "type": "function", "function": {"name": "patch", "arguments": "{\"new_string\":\"    assert all(\\\"no readable text\\\" in job[\\\"negative_prompt\\\"].lower() for job in ai_jobs)\\n    assert all(\\\"local procedural\\\" not in job[\\\"prompt\\\"].lower() for job in ai_jobs)\\n    assert all(\\\"paid ai-video credits\\\" not in job[\\\"prompt\\\"].lower() for job in ai_jobs)\\n\\n    local_jobs = handoff[\\\"local_jobs\\\"]\\n\",\"old_string\":\"    assert all(\\\"no readable text\\\" in job[\\\"negative_prompt\\\"].lower() for job in ai_jobs)\\n\\n    local_jobs = handoff[\\\"local_jobs\\\"]\\n\",\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_free_ai_video_providers.py\"}"}}], "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/agent/jarvis_runtime/AutoShortsBot/tests/test_free_ai_video_providers.py\\n+++ b//home/agent/jarvis_runtime/AutoShortsBot/tests/test_free_ai_video_providers.py\\n@@ -52,6 +52,8 @@\\n     assert all(job[\\\"free_tier_guardrails\\\"][\\\"do_not_buy_credits\\\"] is True for job in ai_jobs)\\n     assert all(job[\\\"duration_seconds\\\"] <= 5 for job in ai_jobs)\\n     assert all(\\\"no readable text\\\" in job[\\\"negative_prompt\\\"].lower() for job in ai_jobs)\\n+    assert all(\\\"local procedural\\\" not in job[\\\"prompt\\\"].lower() for job in ai_jobs)\\n+    assert all(\\\"paid ai-video credits\\\" not in job[\\\"prompt\\\"].lower() for job in ai_jobs)\\n \\n     local_jobs = handoff[\\\"local_jobs\\\"]\\n     assert {job[\\\"asset_mode\\\"] for job in local_jobs} == {\\\"mechanism_animation\\\", \\\"kinetic_text_overlay\\\"}\\n\", \"files_modified\": [\"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_free_ai_video_providers.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_LoqjIXRmJsfXtgVwqxSDqGIY", "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_OZ5HeDl4nse3bq8HlufRzqS0", "call_id": "call_OZ5HeDl4nse3bq8HlufRzqS0", "response_item_id": "fc_0d1a4d10654d56b4016a119151aa4c8191be075eaac8f182a2", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"pytest tests/test_free_ai_video_providers.py::test_free_ai_video_handoff_creates_manual_jobs_for_realistic_clip_scenes_only -q\",\"timeout\":120,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}"}}], "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \"F                                                                        [100%]\\n=================================== FAILURES ===================================\\n_ test_free_ai_video_handoff_creates_manual_jobs_for_realistic_clip_scenes_only _\\n\\n    def test_free_ai_video_handoff_creates_manual_jobs_for_realistic_clip_scenes_only():\\n        handoff = build_free_ai_video_handoff(_jobs())\\n    \\n        assert handoff[\\\"schema_version\\\"] == \\\"free_ai_video_handoff.v1\\\"\\n        assert handoff[\\\"budget_policy\\\"][\\\"paid_topups_allowed\\\"] is False\\n        assert handoff[\\\"video\\\"][\\\"id\\\"] == \\\"hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann\\\"\\n        assert handoff[\\\"hybrid_strategy\\\"][\\\"final_assembly\\\"] == \\\"local_ffmpeg\\\"\\n    \\n        ai_jobs = handoff[\\\"ai_video_jobs\\\"]\\n        assert [job[\\\"scene_id\\\"] for job in ai_jobs] == [\\\"scene_01\\\", \\\"scene_02\\\"]\\n        assert all(job[\\\"status\\\"] == \\\"manual_generation_required\\\" for job in ai_jobs)\\n        assert all(job[\\\"provider_order\\\"][:2] == [\\\"pixverse\\\", \\\"pika\\\"] for job in ai_jobs)\\n        assert all(job[\\\"free_tier_guardrails\\\"][\\\"do_not_buy_credits\\\"] is True for job in ai_jobs)\\n        assert all(job[\\\"duration_seconds\\\"] <= 5 for job in ai_jobs)\\n        assert all(\\\"no readable text\\\" in job[\\\"negative_prompt\\\"].lower() for job in ai_jobs)\\n>       assert all(\\\"local procedural\\\" not in job[\\\"prompt\\\"].lower() for job in ai_jobs)\\nE       assert False\\nE        +  where False = all(<generator object test_free_ai_video_handoff_creates_manual_jobs_for_realistic_clip_scenes_only.<locals>.<genexpr> at 0x724d5192e340>)\\n\\ntests/test_free_ai_video_providers.py:55: AssertionError\\n=========================== short test summary info ============================\\nFAILED tests/test_free_ai_video_providers.py::test_free_ai_video_handoff_creates_manual_jobs_for_realistic_clip_scenes_only\\n1 failed in 0.06s\", \"exit_code\": 1, \"error\": null}", "tool_call_id": "call_OZ5HeDl4nse3bq8HlufRzqS0", "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_qJpguSKC2WV5FFTr6FTxrBYY", "call_id": "call_qJpguSKC2WV5FFTr6FTxrBYY", "response_item_id": "fc_0d1a4d10654d56b4016a119156065481918aac0d5baac3056e", "type": "function", "function": {"name": "patch", "arguments": "{\"new_string\":\"def _free_ai_prompt(job: dict[str, Any]) -> str:\\n    intent = job.get(\\\"source_prompt\\\", \\\"\\\")\\n    for marker in [\\n        \\\"Use local procedural animation/parallax rather than paid AI-video credits; keep captions renderer-overlay only.\\\",\\n        \\\"Use local procedural animation/parallax rather than paid AI-video credits\\\",\\n    ]:\\n        intent = intent.replace(marker, \\\"\\\")\\n    intent = intent.replace(\\\"Vertical 9:16 cinematic-looking local motion scene,\\\", \\\"\\\")\\n    intent = \\\" \\\".join(intent.split())\\n    return (\\n        f\\\"Vertical 9:16 realistic cinematic short video. {intent} \\\"\\n        \\\"No captions, no readable text, no logos, no watermarks. Leave clean negative space in the lower third for captions. \\\"\\n        \\\"The clip should feel like real b-roll for a mechanism explainer, not a slideshow.\\\"\\n    )\\n\",\"old_string\":\"def _free_ai_prompt(job: dict[str, Any]) -> str:\\n    return (\\n        f\\\"Vertical 9:16 realistic cinematic short video, {job['source_prompt']} \\\"\\n        \\\"No captions, no readable text, no logos, no watermarks. Leave clean negative space in the lower third for captions. \\\"\\n        \\\"The clip should feel like real b-roll for a mechanism explainer, not a slideshow.\\\"\\n    )\\n\",\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/free_ai_video_providers.py\"}"}}], "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/agent/jarvis_runtime/AutoShortsBot/autoshorts/free_ai_video_providers.py\\n+++ b//home/agent/jarvis_runtime/AutoShortsBot/autoshorts/free_ai_video_providers.py\\n@@ -150,8 +150,16 @@\\n \\n \\n def _free_ai_prompt(job: dict[str, Any]) -> str:\\n+    intent = job.get(\\\"source_prompt\\\", \\\"\\\")\\n+    for marker in [\\n+        \\\"Use local procedural animation/parallax rather than paid AI-video credits; keep captions renderer-overlay only.\\\",\\n+        \\\"Use local procedural animation/parallax rather than paid AI-video credits\\\",\\n+    ]:\\n+        intent = intent.replace(marker, \\\"\\\")\\n+    intent = intent.replace(\\\"Vertical 9:16 cinematic-looking local motion scene,\\\", \\\"\\\")\\n+    intent = \\\" \\\".join(intent.split())\\n     return (\\n-        f\\\"Vertical 9:16 realistic cinematic short video, {job['source_prompt']} \\\"\\n+        f\\\"Vertical 9:16 realistic cinematic short video. {intent} \\\"\\n         \\\"No captions, no readable text, no logos, no watermarks. Leave clean negative space in the lower third for captions. \\\"\\n         \\\"The clip should feel like real b-roll for a mechanism explainer, not a slideshow.\\\"\\n     )\\n\", \"files_modified\": [\"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/free_ai_video_providers.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_qJpguSKC2WV5FFTr6FTxrBYY", "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_bym6G2MZHhyRJTIcQOKsQORg", "call_id": "call_bym6G2MZHhyRJTIcQOKsQORg", "response_item_id": "fc_0d1a4d10654d56b4016a119160a4188191aee01bb0cb2abe8e", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"pytest tests/test_free_ai_video_providers.py -q && python scripts/generate_free_ai_video_handoffs.py --jobs data/free_production_jobs/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.json --out data/free_ai_video_handoffs/mechanism_pilots\",\"timeout\":180,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}"}}], "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \"....                                                                     [100%]\\n4 passed in 0.04s\\nGenerated 1 free AI video handoff specs in data/free_ai_video_handoffs/mechanism_pilots\\ndata/free_ai_video_handoffs/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.json\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_bym6G2MZHhyRJTIcQOKsQORg", "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqEZFrSwP8I5vF61aQIAtO_Xwg4ZNY53iO0dTRL8XuTcPtJC760wZtpm-gTCUvEDXjAT3xS1C1mTyT0Fe3PIh0FHtvXZFwfvTgJtUVl99isxnlaPYWmSurMNfdBcjJEyvENiDtctndDNcOBWFuBLykh-0aMQNdBNV0tWCTYTtdsaRh5Y2V0VMAW4QuNB8yQjXdykhz_U6Ecv7sYy1whSuq_-LFrR75uFtrd14W_2rqoP-_HxXQJnKUtwNu8faiJVKTwjnoR9uVPY5tDqbGDVPg77lb8MJBpED4rKzWh6xNKpcoghyUmPSeBi05NpQDO55AUBL9g0qX3bybAQ8YG6pq-s-_SJ640f5zd62_GQVuAIBygUTCUgLglg7vFfvD_PB_QcHnadXlA89cxXScyVMOzKaKRN9ClKeJuYg4mx3Zt1BoZEQD9rK-_iigP4HfDTudBrt6E4zmqUCOWLAdclc2bu_TzW-vJfw5H4_fxbFgl5NT4ni8CvERWQ-DAj06_Uk2zT_mxPX_xxtwyRRXbgqx0Thc5Se2wmvMm0SKOhnAs9fDCwvGdKin9wpoD9nHUHEbunfIwmLXsMNlJVqk2FQUwFkS9iDRdy9kB9kerr118TK70E3c0AKAMH8hGzJjXB-6SQDEiHD3lJJ6Tb8P3q-MLzqBmpX86JIXuDP3igFHw4n-_0Z4DEfizy9uhg1DPKABc-kItoJe9wqqz9m0Co9wu1pC9SV7kAbOwy7qK4QTlBFoyhQ6IGa-ukIYfWX7AEtpo6znyXLYOxnHSWLMIzZjNiss9xdPs69xiadpeKdFFPiy6-XWAtuLp-TkZFBGc1EUONizgYpjSvHwtRLz3e4eJbGK0S39-OfDve8iH8Z4k2dC9CP0oRlJtmYODyJZw3S4Qcv9eM7UJ5GY0QxSeRATLIC5QBotCEtCunjavu3pLXTdU7gcCvBLCIT-IjbS5ahUwmoqsckB9luRKdbYXvt1mvnMrfnK731CUZif0q8Sj_t4lA71x7aAdYTgWIIc2-x0tlEskiAKnzm3BaZvYTQQiT0kbQtjgyeZGOZCcn3Kjtq9-Gu0b0kNTNEcaVIr71F994nNJh35uNNCxIXBpVU2H9VN7zVEqMAoJxG-hOxuPbYqIYjyZsd1nVoG9vVRP_g4nnB1H0DctePo9kH6g8u6UZvTYrppc1vq4xUP02gXVdN1G0HMHO5KUOKeGPh3MQJkfLo9Ifza0aZzTgzA5epUIt_G3Y3QONKHJzc2lLYJwCgUbwZF1GnPztM4FYxpgas_S2gL9k6mrBkGxeraTsPtfkII5hkCWeUVsnJpZuTzodTr0IWM_vDAsrnRwRjH2rSk0bHaVBp_vn-MrlKecfeW_deWjZTrTLdwbzYdY8TU9_74-N2c3Y4pU3TEt4JJ1MD6yBY0YgbuHFVV4HRKT8R-Qx9VT4h6D33UN02CFwVdTaQmTmxwof5CmzmS_ZMiRg7T3-OH5TzggdUpmKiywh4ZAO1_0amowOj2p5HWODHzIy-5NZjGopkog0LdntZIPEhaTmGq1Q22qjBD6_kNV9EW21_DFQSJXn284Se6X5uHtou7iNW4h5DqP9NrczsrjjU07JFmYi2YIHJu1J3jG_6KswNzlsG4VYfveoawKVQ4TmTjZ2BmaXTCA60ka2FiR6uF_ZvGtYsbx1JXti8dIv8FpWKAdIvVmV3DM1iJkx8ZHEmUCLp_h-76zzpy42uzlM46itBYb6Ct8AjFGyK1MMdJS3NIU5LxO4udGCN7LRYrORitVCtBH7HNbLHhdu9bV8BiVxUXAmdHCpe8XRepA3Ly9lFhHSQlASb_SGmTYBJNSZ0ur9JOjUo1AYETcip6CGw3qbuKUhnMymwiRsuLaOqunQwtBZUkidnC657CxoN8ZKHYNjp0s3_weG6g6SY383E4xgEcReT_m1K229cWHVKtCxYeCMun1Hpt7BfBnEFPKLDaM4PMZSajcmC48PBwhjJ0IXRbNxJ76ioXZKLeTPzRq3MmqhVJhjeQBvURUUksPEl_rK3aOOqZd1uY4rE1My3dV16O9B7G_nMI6ErAEZwcJXi-rpCa5g5PeLRxPVwoBTqCDYpK-2vpUixALBr4WiFUuOYdci1J-B8bCsTI5MbkjsNqtLxEDqzy4Y4a6UVF4bhF13kJQC46o6AEmSLiFNvIpLLLSrIjNriwlKXjRATOx_XYM9DdRvM9d51X5c3qhtSafo_YjuQ0cH6nD9hqVdRj_ySKHlihgtrYoQi_MKB-UcX6kDXurO2M8TBluQgx6U5E1JPlj8I2ko4m64dHS74-bvONul8kewQ3oy-CPDCRdNNiZYGtc5EODn2aVEMzo3gD5hIkIdQceJfauq8Mw6KfpZ1krcVrKQRiXo8tDX0IWWmSHvBaPZvbJ37E7DwVwzEil4qC60zHbx9lYWLrM9x-ysAkNXK442_-gz43H7kkOE3XOo8u-dATxD64bGHweU-UxxyLsZX0wDXbK47im3vRqP2ebg77BPoh-ZXNX955g9T4qzuFVsN-nd5gD97Ra4XgpW77CyoSdQX25tRfeZBKVIpFAL0jfZtKhXg9ajfxAr6QrKc8Bi6PGc64UpkCw9gl24A=", "id": "rs_0d1a4d10654d56b4016a119166e0848191bd0874c715b00672", "summary": []}], "tool_calls": [{"id": "call_waequHo5lZ23oNvsEyyg4KnF", "call_id": "call_waequHo5lZ23oNvsEyyg4KnF", "response_item_id": "fc_0d1a4d10654d56b4016a11916bc97c8191845b4b9a86277f21", "type": "function", "function": {"name": "patch", "arguments": "{\"new_string\":\"data/generated/\\ndata/local_motion_renders/\\ndata/imported_ai_clips/\\n\",\"old_string\":\"data/generated/\\ndata/local_motion_renders/\\n\",\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/.gitignore\"}"}}], "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/agent/jarvis_runtime/AutoShortsBot/.gitignore\\n+++ b//home/agent/jarvis_runtime/AutoShortsBot/.gitignore\\n@@ -33,3 +33,4 @@\\n data/performance/*.local.json\\n data/generated/\\n data/local_motion_renders/\\n+data/imported_ai_clips/\\n\", \"files_modified\": [\"/home/agent/jarvis_runtime/AutoShortsBot/.gitignore\"], \"lint\": {\"status\": \"skipped\", \"message\": \"No linter for  files\"}}", "tool_call_id": "call_waequHo5lZ23oNvsEyyg4KnF", "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "assistant", "content": "", "reasoning": "**Considering skill updates**\n\nI feel like I might need to think about updating my skills later. I should definitely run some full tests and check on everything to see where I stand. It's always good to ensure I'm up to date and functioning at my best. Keeping my abilities sharp will help me serve the user better, so I'll keep that in mind as I move forward!", "finish_reason": "tool_calls", "reasoning_content": "**Considering skill updates**\n\nI feel like I might need to think about updating my skills later. I should definitely run some full tests and check on everything to see where I stand. It's always good to ensure I'm up to date and functioning at my best. Keeping my abilities sharp will help me serve the user better, so I'll keep that in mind as I move forward!", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqEZF2f_TQSt2o87IiTzqDJMzuF1lCNcncrX5BhBSPK-bVTkgBI0Uo2O72TUGpb9anU2Z6vwMn7F8kWmAVBb1l9giKUbrUQZSWVvV5K-7LdEq0BjaDVdZL8DsW_wCjsPcpDiDg4O9b3Nca67uy_F3S2pVFrSdJYT26xVVVxSryJ1V_ZBQY31DxBWgZHAVyEZVd6vMRw06iEH7zG5mfyCcBs2YxuTyPw2Wsjt6MMnYtcx4M8Zb-pBCx9QQEchBKlT4qmleNww7VMWpZCAt5cnG9QktEdXRrAcwc6ZagSmMeH-bJf-BKhiHMMPYjjxOGTmdp51iLOJgLOURAjhG56ueZ3baRi2FLNwmefdfNpVLCqmQuxQ3TwcLqwvl3kodFueZ0xI_tWVvTK9EFEPS_SB_Bln0XtGPKkAft7RsWN6Rgi5amH56_dzOn-nhue9CHP1M9lQnyx7U1w0-pzkxILxb2y8E0l9fsP5bSOvNGV0MOIlJcSi1NBLo_4l67BwAAHVv58NJLqcClcE3A_CPc2MBvooEnIHh-9NAtYe5T25zOJk7sSaNno2n1Sv1Pev6r9rm6bYnO7ODzSzu8h3tG1I7y5uRfWRMyxYar4ENIL-XM0VY8h9T5bQaDswNu_YMzLlGjq4IiNjEc2rbH71tCuedMWPZJTxgxE8UMc5xAnjvQn0vhAk7t5oBrUZzGoFsDFDYGctGszSPYhxakCw-0z8UrDf06VTC7e0izwOLQGrUucOqPHJCMMmFG0LY6SXp1ReQ9W-whr-CGMCVlnjzedu451qmU8p_jhYhsgvDxXowM-jz1eVoVJJ68ruxaYmB1NLzz4yKAdBgUiHkWM2U0lYik6aA-6Cuyz1_XKJ0UnO6R0KjSliooEgevQTb2nA00XatBjNdsx3ZyDJy30VqG0Zyv_MKWQ_t6zkzHycuVtxFb5v9Oq2ecb36XBSv8K535clyg3ehE1BYdm4gxR0djq6FJVtVvzGxasmw-AE9x7NEK4VQI9A4=", "id": "rs_0d1a4d10654d56b4016a119170b1bc81919385389b780c9d80", "summary": [{"type": "summary_text", "text": "**Considering skill updates**\n\nI feel like I might need to think about updating my skills later. I should definitely run some full tests and check on everything to see where I stand. It's always good to ensure I'm up to date and functioning at my best. Keeping my abilities sharp will help me serve the user better, so I'll keep that in mind as I move forward!"}]}], "tool_calls": [{"id": "call_KWiLkUkuCOgkhUGTNUvCl0VQ", "call_id": "call_KWiLkUkuCOgkhUGTNUvCl0VQ", "response_item_id": "fc_0d1a4d10654d56b4016a119175fedc81918cd8a924588816a0", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"pytest tests/ -q\",\"timeout\":300,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}"}}, {"id": "call_r1LPjvqWZTa7iHXr7QkJ0KgJ", "call_id": "call_r1LPjvqWZTa7iHXr7QkJ0KgJ", "response_item_id": "fc_0d1a4d10654d56b4016a119175ff488191991cd4bf1aadf2f4", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"git diff --stat && git status --short\",\"timeout\":60,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}"}}, {"id": "call_othyUCaZ3YQAiIxXFryZGmPV", "call_id": "call_othyUCaZ3YQAiIxXFryZGmPV", "response_item_id": "fc_0d1a4d10654d56b4016a119175ff548191a0d675342f660891", "type": "function", "function": {"name": "read_file", "arguments": "{\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/data/free_ai_video_handoffs/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.json\",\"offset\":49,\"limit\":110}"}}], "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \".......................................................                  [100%]\\n55 passed in 3.25s\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_KWiLkUkuCOgkhUGTNUvCl0VQ", "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \".gitignore | 1 +\\n 1 file changed, 1 insertion(+)\\n M .gitignore\\n?? autoshorts/free_ai_video_providers.py\\n?? autoshorts/review_package.py\\n?? data/free_ai_video_handoffs/\\n?? data/telegram_reviews/\\n?? scripts/generate_free_ai_video_handoffs.py\\n?? scripts/generate_telegram_review_packages.py\\n?? tests/test_free_ai_video_providers.py\\n?? tests/test_review_package.py\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_r1LPjvqWZTa7iHXr7QkJ0KgJ", "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "tool", "name": "read_file", "content": "{\"content\": \"    49|  \\\"ai_video_jobs\\\": [\\n    50|    {\\n    51|      \\\"job_id\\\": \\\"scene_01_free_ai_video_handoff\\\",\\n    52|      \\\"scene_id\\\": \\\"scene_01\\\",\\n    53|      \\\"asset_mode\\\": \\\"cinematic_ai_video\\\",\\n    54|      \\\"status\\\": \\\"manual_generation_required\\\",\\n    55|      \\\"duration_seconds\\\": 1.4,\\n    56|      \\\"aspect_ratio\\\": \\\"9:16\\\",\\n    57|      \\\"preferred_resolution\\\": \\\"480p_or_best_free_available\\\",\\n    58|      \\\"provider_order\\\": [\\n    59|        \\\"pixverse\\\",\\n    60|        \\\"pika\\\",\\n    61|        \\\"capcut\\\",\\n    62|        \\\"hailuo\\\"\\n    63|      ],\\n    64|      \\\"providers\\\": [\\n    65|        {\\n    66|          \\\"provider\\\": \\\"pixverse\\\",\\n    67|          \\\"display_name\\\": \\\"PixVerse\\\",\\n    68|          \\\"url\\\": \\\"https://app.pixverse.ai/\\\",\\n    69|          \\\"free_tier\\\": {\\n    70|            \\\"daily_refresh_credits\\\": 90,\\n    71|            \\\"signup_required\\\": true,\\n    72|            \\\"best_use\\\": \\\"realistic text/image-to-video short clips\\\"\\n    73|          },\\n    74|          \\\"risks\\\": [\\n    75|            \\\"terms and quotas can change\\\",\\n    76|            \\\"manual account/login required\\\",\\n    77|            \\\"possible watermark depending export path\\\"\\n    78|          ]\\n    79|        },\\n    80|        {\\n    81|          \\\"provider\\\": \\\"pika\\\",\\n    82|          \\\"display_name\\\": \\\"Pika\\\",\\n    83|          \\\"url\\\": \\\"https://pika.art/\\\",\\n    84|          \\\"free_tier\\\": {\\n    85|            \\\"monthly_credits\\\": 80,\\n    86|            \\\"max_resolution\\\": \\\"480p\\\",\\n    87|            \\\"text_to_video_5s_credits\\\": 12,\\n    88|            \\\"watermark_free_claimed\\\": true,\\n    89|            \\\"commercial_use_claimed\\\": true,\\n    90|            \\\"signup_required\\\": true\\n    91|          },\\n    92|          \\\"risks\\\": [\\n    93|            \\\"low 480p free resolution\\\",\\n    94|            \\\"monthly quota is small\\\",\\n    95|            \\\"manual account/login required\\\"\\n    96|          ]\\n    97|        },\\n    98|        {\\n    99|          \\\"provider\\\": \\\"capcut\\\",\\n   100|          \\\"display_name\\\": \\\"CapCut AI Video Maker\\\",\\n   101|          \\\"url\\\": \\\"https://www.capcut.com/tools/ai-video-generator\\\",\\n   102|          \\\"free_tier\\\": {\\n   103|            \\\"hd_export_claimed\\\": true,\\n   104|            \\\"credit_amount_publicly_clear\\\": false,\\n   105|            \\\"best_use\\\": \\\"editorial assembly, templates, captions, quick drafts\\\",\\n   106|            \\\"signup_required\\\": true\\n   107|          },\\n   108|          \\\"risks\\\": [\\n   109|            \\\"free quota not clearly exposed on public page\\\",\\n   110|            \\\"may upsell Pro assets\\\",\\n   111|            \\\"manual export required\\\"\\n   112|          ]\\n   113|        },\\n   114|        {\\n   115|          \\\"provider\\\": \\\"hailuo\\\",\\n   116|          \\\"display_name\\\": \\\"Hailuo AI\\\",\\n   117|          \\\"url\\\": \\\"https://hailuoai.video/\\\",\\n   118|          \\\"free_tier\\\": {\\n   119|            \\\"default_visible_generation_cost_credits\\\": 25,\\n   120|            \\\"signup_required\\\": true,\\n   121|            \\\"use_only_existing_free_credits\\\": true\\n   122|          },\\n   123|          \\\"risks\\\": [\\n   124|            \\\"do not buy credits\\\",\\n   125|            \\\"free quota may vary\\\",\\n   126|            \\\"user explicitly wants no paid Hailuo credits\\\"\\n   127|          ]\\n   128|        }\\n   129|      ],\\n   130|      \\\"prompt\\\": \\\"Vertical 9:16 realistic cinematic short video. a realistic creator at a desk late evening, laptop open to an AI chat, thoughtful but in control, hands moving between keyboard and notebook. Mood: focused, modern, high-retention social video, dramatic lighting simulated with gradients and shadows. Scene intent: 3D car x-ray with price tag layers and risk meters freezes mid-action with warning signal. Camera: slow handheld push-in, subtle parallax, natural micro-movements. No captions, no readable text, no logos, no watermarks. Leave clean negative space in the lower third for captions. The clip should feel like real b-roll for a mechanism explainer, not a slideshow.\\\",\\n   131|      \\\"negative_prompt\\\": \\\"no readable text, no subtitles, no logos, no watermarks, no distorted hands, no fake UI text, no slideshow, no static image, no uncanny faces\\\",\\n   132|      \\\"overlay_text\\\": \\\"Dieser Occasion-Käufer denkt, er spart 4'000 Franken.\\\",\\n   133|      \\\"free_tier_guardrails\\\": {\\n   134|        \\\"do_not_buy_credits\\\": true,\\n   135|        \\\"use_only_free_daily_or_monthly_quota\\\": true,\\n   136|        \\\"avoid_pro_templates_or_paid_assets\\\": true,\\n   137|        \\\"export_without_baked_captions\\\": true,\\n   138|        \\\"final_captions_added_locally\\\": true\\n   139|      },\\n   140|      \\\"manual_steps\\\": [\\n   141|        \\\"Open the first available provider in provider_order.\\\",\\n   142|        \\\"Use text-to-video or image-to-video with the prompt below; choose vertical 9:16 if available.\\\",\\n   143|        \\\"Set duration to the requested scene duration or the nearest free option, usually 5s.\\\",\\n   144|        \\\"Do not buy credits, subscribe, or select paid-only models/templates.\\\",\\n   145|        \\\"Download the clip, then place it under data/imported_ai_clips/<video_id>/<scene_id>.mp4 for local assembly.\\\"\\n   146|      ],\\n   147|      \\\"expected_clip_path\\\": \\\"data/imported_ai_clips/{video_id}/scene_01.mp4\\\"\\n   148|    },\\n   149|    {\\n   150|      \\\"job_id\\\": \\\"scene_02_free_ai_video_handoff\\\",\\n   151|      \\\"scene_id\\\": \\\"scene_02\\\",\\n   152|      \\\"asset_mode\\\": \\\"cinematic_ai_video\\\",\\n   153|      \\\"status\\\": \\\"manual_generation_required\\\",\\n   154|      \\\"duration_seconds\\\": 3.6,\\n   155|      \\\"aspect_ratio\\\": \\\"9:16\\\",\\n   156|      \\\"preferred_resolution\\\": \\\"480p_or_best_free_available\\\",\\n   157|      \\\"provider_order\\\": [\\n   158|        \\\"pixverse\\\",\\n   159|\", \"total_lines\": 275, \"file_size\": 11269, \"truncated\": true, \"hint\": \"Use offset=159 to continue reading (showing 49-158 of 275 lines)\", \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_othyUCaZ3YQAiIxXFryZGmPV", "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "assistant", "content": "", "reasoning": "**Considering git commits and .gitignore**\n\nI'm thinking about the diff, which only shows changes in the gitignore because untracked files aren't listed. I should commit the new files, especially if I'm also updating my skills with an external provider. It's a good idea to check if `.gitignore` includes `data/free_ai_video_handoffs` since that JSON artifact should be committed. I'll need to ensure I handle credentials properly to push. I want to add and commit everything to avoid untracked files in my review.", "finish_reason": "tool_calls", "reasoning_content": "**Considering git commits and .gitignore**\n\nI'm thinking about the diff, which only shows changes in the gitignore because untracked files aren't listed. I should commit the new files, especially if I'm also updating my skills with an external provider. It's a good idea to check if `.gitignore` includes `data/free_ai_video_handoffs` since that JSON artifact should be committed. I'll need to ensure I handle credentials properly to push. I want to add and commit everything to avoid untracked files in my review.", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqEZGDaVymlY1GKfWG1N94UELQywaAT7-nIOmuyVVdaDqzD2D5OH95vjc319sg5_hYFjVo6pUETHWV0pFTeU2UoTJLCU4rFw6wXtAA6TDe4KRJJNVbqcBKaD2AqkO7ZDrzL-rAsBkXAjL08BmxtyVb2B3Lc3ZUl_jBAj0-P_2BDLP7CqLvgJP7kvfvdiDsXhmzoDQ93WubRVlt2O6sp3Nih6LXQeYobS8GiUui9ZUCPfPFaQiUnW7EQoNla3MCiCrcxK1Gj1Ox30rYLdH_PqZB5qceGVE5_4w-c40nKo6DsE2GtgKsIDBtPe7e4C9AnWysbYQYhsLUqNVwDaoyTR6m51pGY0bsv7nCEgizpULtI55sVRsqteif3McDF_KG3CK51kg8oPxreizbRwCGXtsCxZC-LpXaKcl9IyYYWkJjkGtS_kEvQBi5KHGK3xlA76RUd05HAdAbBk8Xd2xLxWwJ_DweYCRwhGxKCs6iTre-FcxO0vKecu_c9xklYp9f1O8uMe8vSwaEIeTzbLdT8ZpYd9GHacddL96TT0NFfJ2CjFhZZEhN4jTbFxg46gRj6t30LO8Cz1bnYnI8ZUpcy1p6cnD5s1xKJ5aZSWOmO9wfEYIPTec_MZ31wXbKnasNBQbj7eAUFd1PTOb6F5JIfsQGBC_GevDDfygi2Ggu9zCX4W4lr1s4-uEcJEy4Uy2_nEMY5jZmvkCyL2P8hPYyHcaxkOBrfS7FaRaxksmGl0KyTHOToXFd-Ba98TKX-Vs5ojzPCi9fOaE_wcM_i7LvxlKD2jOm5xrj5Y_aRO1z8hnsL8FGXRu7IiiAMd6t40EoLoqkaJu2VCA30l0niyX0lBP1ucACnqH8xQnGbX49yabLtaMAEyGS1wz5ZHpkQuaevuKXxHZaZ6av2azLPru4bifJyAv_bDeZxaifc6MG4qOSVEMZ_9BUGEkhlnjpOeDTqtAkuqNpiNA4BsndQS4aYAbeieWmn6YqqMFjGqLgfUtQjXJ6YxWmnj96BLTpQk7D8CO4-QFXs69XyeHPGVfyEv1MlLLUlhuxD3PINCRSzQZ-x3PQWRcBiy3mRTsVzxUFRoPGR5BxF9KOjYim9C5zXsVwSkTxanErXFHdNEL1ylaZxQUGlaC6gwy90MV-Doib6EVAHcGG56SfukKGsDeyhAOd3gtHl3bjpSGrNP1Cum_sWx0127u_aUn0v5vD54ONbnuMF2LidBxcaSs4nrYFRSkmpcuBRWmlIJYjjiBxHeAVLotXAMgmgz1FoQ8V_hxbuuek0Wyx7yoRv8vRJad2TSEfhEcvaxKaD89-YWLUsuM6ZInUJItEHkMjg0Sd9TkrmO664nfFDOGY-X4-jYTcHpjqLH2P1RD4pWFaQNYbZzeYyPWIvsVHKGoQciGApfIBHhc32jL8xmZzxKYLFMHqZZXJP9Tx-kB-IiBycpomIdc5spaYvGja3TaZE-TeptlSiFs4rjX_ryz9S0ns6wF16itxRnS7nENvHkTiYrgXBHyVgcezAM2DUn0WoFJTJpYuRxHgl1ZlOM_2RptQ4c12RS0Vbe3HVcP7lAmbeU8y9zUL80J28zadwvLlRHcclr3BfrkGCqCU", "id": "rs_0d1a4d10654d56b4016a11917fb4188191a4f6d7039ff83b6b", "summary": [{"type": "summary_text", "text": "**Considering git commits and .gitignore**\n\nI'm thinking about the diff, which only shows changes in the gitignore because untracked files aren't listed. I should commit the new files, especially if I'm also updating my skills with an external provider. It's a good idea to check if `.gitignore` includes `data/free_ai_video_handoffs` since that JSON artifact should be committed. I'll need to ensure I handle credentials properly to push. I want to add and commit everything to avoid untracked files in my review."}]}], "tool_calls": [{"id": "call_yvHw7djgfPK7YRkN0LnLNa60", "call_id": "call_yvHw7djgfPK7YRkN0LnLNa60", "response_item_id": "fc_0d1a4d10654d56b4016a1191833a488191a306e0d99871658d", "type": "function", "function": {"name": "skill_manage", "arguments": "{\"action\":\"patch\",\"name\":\"social-media-shorts-growth-engine\",\"new_string\":\"For this AutoShortsBot/Retention-Studio workflow, prefer a free-first renderer path before any paid video provider: `free_production_jobs → local_motion_renderer → FFmpeg MP4`. The local renderer should use Pillow/FFmpeg procedural motion, mechanism layers, kinetic captions, and generated metadata; preserve exact scene durations from render manifests, exclude text-only LLM refinement jobs from rendering, and keep generated local renders out of git (`data/local_motion_renders/`). NVIDIA/build.nvidia.com LLMs are optional text-refinement helpers only, not video generation.\\n\\nIf the user wants more realistic footage without spending money, use a hybrid free-tier handoff rather than pretending local procedural graphics are realistic: `free_production_jobs → free_ai_video_handoff → manual browser generation in free-tier tools (PixVerse/Pika/CapCut/Hailuo only with existing free credits) → import clips under data/imported_ai_clips/ → local captions/mechanism layers/FFmpeg assembly`. Guardrails: no paid top-ups, no subscriptions, avoid Pro templates, no baked captions/logos/watermarks where possible, and keep imported clips out of git.\\n\\n## Pitfalls\",\"old_string\":\"For this AutoShortsBot/Retention-Studio workflow, prefer a free-first renderer path before any paid video provider: `free_production_jobs → local_motion_renderer → FFmpeg MP4`. The local renderer should use Pillow/FFmpeg procedural motion, mechanism layers, kinetic captions, and generated metadata; preserve exact scene durations from render manifests, exclude text-only LLM refinement jobs from rendering, and keep generated local renders out of git (`data/local_motion_renders/`). NVIDIA/build.nvidia.com LLMs are optional text-refinement helpers only, not video generation.\\n\\n## Pitfalls\"}"}}], "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "tool", "name": "skill_manage", "content": "{\"success\": true, \"message\": \"Patched SKILL.md in skill 'social-media-shorts-growth-engine' (1 replacement).\"}", "tool_call_id": "call_yvHw7djgfPK7YRkN0LnLNa60", "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_0ECnaOmsQ795lIMMoy5mAvsi", "call_id": "call_0ECnaOmsQ795lIMMoy5mAvsi", "response_item_id": "fc_0d1a4d10654d56b4016a1191901f208191ab7e2f811b0164a3", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"git add .gitignore autoshorts/free_ai_video_providers.py scripts/generate_free_ai_video_handoffs.py tests/test_free_ai_video_providers.py data/free_ai_video_handoffs/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.json && git diff --cached --check && git diff --cached | grep -iE 'api[_-]?key|token|secret|password|credential' || true && git commit -m \\\"feat: add free ai video handoff specs\\\"\",\"timeout\":300,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}"}}], "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \"[feat/initial-growth-engine 9f41a9f] feat: add free ai video handoff specs\\n 5 files changed, 604 insertions(+)\\n create mode 100644 autoshorts/free_ai_video_providers.py\\n create mode 100644 data/free_ai_video_handoffs/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.json\\n create mode 100644 scripts/generate_free_ai_video_handoffs.py\\n create mode 100644 tests/test_free_ai_video_providers.py\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_0ECnaOmsQ795lIMMoy5mAvsi", "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqEZGbMz_9I-tM4U1aHMXKzCG4oXnOnszJUiEHO-7eSCkyGgFfqi9Pfo_dsBMQqsR7PlGQk2qAliyFAB_hRTqo8bm2p3XrSkXw1XIsnEVi5Xb76-Liu8TdMYGntnmd2T1ZGlhr3zibwjxNNh4ebgJ7v_Jrn54Vi1BHhz7Pc64z9sA9C_ZlR3W2-blxo5HlXDYCCH2zXowVsZsOrTlENQVq3Mz2A7vqq90xyPdsml1Iwf1Guu1gUlCfAF8WDJF1sE37RyDaxQ6mmM-2r6J7fkfttMFoZhaZU03prEfnfR_Gj8sdKqepG58cKjViFz1VSQQTgiiyAk9ViSSVBldXNiB7XdC6pQgIuse8UI-1O7mxZE2b8ZMpmXuXs-qMReYjHQUg-b5gwH6FN9fA3zB6mANUfNpXhYz197stOa5PH6CneW_FsdGF2pkVZ0rg3zKrODCYeDXpcA_VyCZiVR55LydPLy7-I2g5UU8Km32cDkoZLlKr1SL7hNofsq3l_80tGuwMQB7o6utd5k361O6cirzx9LhSrZNF0kBMXFOVADB8Df8U7pC05YKHwWzZNbPEzQwYp2-U9Aab38os8M9WSYJ9wTOdJSrNeEllEbq4-WQ5GIh8Ex8ARtKLnkSQYcEtr5c7arPvpiXcSXyzATPqoWdPBX_EpxEFI7CY7jhXKU4zsgXGUd0VvgkyIdf8ASgZ5SQsOBqIEru_GQ7TGu2HjaiQXJuzeDJrmfYJxamORFnYq2eahULkFqlDo6jhYE4KDGjvrEae-FBMu87HAiY8F5pfpM2UvQq8JVE-YEw0QBjxeO4aA8Tj3CvykiPGBVOpdz_uRLmNBO5teSNJ_SrUDEznNAkGUGvoBc67r7h622stEVoaffjonSvnD_C4IU6UrsZ5zkqNrE76Hkb7MocoFEE8OgSrzqWUA7wwp_HJXzC_DEYdcgyDznHooc09Nh8EBeoL0ikpgSD98SSWOupYHIirfHhwhu8mLTp7nYI-lJzO4iMt420bEN_fUiF6lLPFS4s82PY2KVobJldHVGVLUbwFlJ4M86gvboCMHP2q1Ca3eyLZhNINLhTubbt9AaEdEW61me8KvlbJH8d1F999KkqaKxsIcNQEnrRr0s-DWUSTHiZO4xPRxqfWeKuwwwc8z0MLJV8FCkLxexWugys9SOYv9Dm7vdzH4lrXsliBvMKqp24aCxb2CJOoeHmwhjpTvdxubrqsQgEFMd_A0cO3Wf_0moXsga2BLmPkIOTVul1fUX1bAiJDxS67ZGL7ihl8my1C5cdPpolHVrnmhZTzm7SiQejjRiyWUzCy0o4G1IOWKHVCjeyVlYsoS3OUNjKLSe6CYYJHNQoW1jmPmjIVs8wEG9ub1wtJGlalV0H2x6z2KI_WUsaMD5TVhRwJ3t_wZpPC9bGQZ6l7etOTCrZRZslQNs9KmAzZRr8MOs0yepry1WVWIBKkQtD6YEb3vTvFSkhxQteGV7ID7ZLyPfrjxp8Zzv_x5bpPr_e_zTbPATG5lZUsFlU=", "id": "rs_0d1a4d10654d56b4016a119196e76c81919fb5291593622ce1", "summary": []}], "tool_calls": [{"id": "call_sWjn797bowTuyeds6MeqXfDJ", "call_id": "call_sWjn797bowTuyeds6MeqXfDJ", "response_item_id": "fc_0d1a4d10654d56b4016a11919b3c808191bbfd785960600a55", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"pytest tests/ -q\",\"timeout\":300,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}"}}, {"id": "call_NvpKGhBchBzKkfoVXyLaDW6L", "call_id": "call_NvpKGhBchBzKkfoVXyLaDW6L", "response_item_id": "fc_0d1a4d10654d56b4016a11919b3ce88191a620714e191d10be", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"git status --short && git log --oneline -4\",\"timeout\":60,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}"}}, {"id": "call_6NMVOe38VzA0TmnAqXNeZYGv", "call_id": "call_6NMVOe38VzA0TmnAqXNeZYGv", "response_item_id": "fc_0d1a4d10654d56b4016a11919b3cf48191a7a5d386d19faa79", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"git push\",\"timeout\":120,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}"}}], "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \".......................................................                  [100%]\\n55 passed in 3.55s\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_sWjn797bowTuyeds6MeqXfDJ", "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \"?? autoshorts/review_package.py\\n?? data/telegram_reviews/\\n?? scripts/generate_telegram_review_packages.py\\n?? tests/test_review_package.py\\n9f41a9f feat: add free ai video handoff specs\\nff5df62 feat: add free local motion renderer\\nb54a903 feat: add free production job specs\\n4d1e8f8 feat: generate mechanism render manifests\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_NvpKGhBchBzKkfoVXyLaDW6L", "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \"fatal: could not read Username for 'https://github.com': Kein passendes Gerät bzw. keine passende Adresse gefunden\", \"exit_code\": 128, \"error\": null}", "tool_call_id": "call_6NMVOe38VzA0TmnAqXNeZYGv", "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_snPJADNtDsJXAjfg5o5N7YDc", "call_id": "call_snPJADNtDsJXAjfg5o5N7YDc", "response_item_id": "fc_0d1a4d10654d56b4016a1191a888b48191997b63284edcd214", "type": "function", "function": {"name": "todo", "arguments": "{\"merge\":true,\"todos\":[{\"content\":\"Provider-/Free-Tier-Registry und Job-Specs im Repo ergänzen\",\"id\":\"implement\",\"status\":\"completed\"},{\"content\":\"Tests, Artefakte und Git-Status verifizieren\",\"id\":\"verify\",\"status\":\"completed\"}]}"}}], "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "tool", "name": "todo", "content": "{\"todos\": [{\"id\": \"research\", \"content\": \"Free/freemium KI-Video-Tools für realistischere Shorts recherchieren\", \"status\": \"completed\"}, {\"id\": \"decide\", \"content\": \"Gratis-Workflow-Entscheidung für AutoShortsBot ableiten\", \"status\": \"completed\"}, {\"id\": \"implement\", \"content\": \"Provider-/Free-Tier-Registry und Job-Specs im Repo ergänzen\", \"status\": \"completed\"}, {\"id\": \"verify\", \"content\": \"Tests, Artefakte und Git-Status verifizieren\", \"status\": \"completed\"}], \"summary\": {\"total\": 4, \"pending\": 0, \"in_progress\": 0, \"completed\": 4, \"cancelled\": 0}}", "tool_call_id": "call_snPJADNtDsJXAjfg5o5N7YDc", "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "assistant", "content": "Ja, Sir — exakt: **das aktuelle MP4 ist noch Konzept/Animatic**, kein fertiges realistisches Video.\n\nEs zeigt Timing, Layer, Captions und Mechanik. Für ein „einigermaßen realistisches“ Endprodukt brauchen wir tatsächlich **KI-generierte Videoclips** als B-Roll/Scene-Clips — aber eben nur über **Free Tiers**, nicht über bezahlte Credits.\n\nIch habe recherchiert und den Workflow entsprechend weitergebaut.\n\n## Recherche: gratis / free-tier KI-Video-Tools\n\n## 1. PixVerse\n\nGefunden auf:\n\n```text\nhttps://app.pixverse.ai/\n```\n\nDie App zeigt aktuell:\n\n```text\n90\nTäglich aktualisieren\nJetzt registrieren und kostenlose Credits erhalten\n```\n\nEinschätzung:\n\n- sehr interessant als **Primary Free-Tier Candidate**\n- offenbar tägliche Free-Credits\n- geeignet für realistische 9:16 Short-Clips\n- manuelle Browser-Nutzung/Login nötig\n- keine paid Top-ups erlaubt\n\nPriorität:\n\n```text\n#1 PixVerse\n```\n\n## 2. Pika\n\nGefunden auf offizieller Pricing-Seite:\n\n```text\nhttps://pika.art/pricing\n```\n\nFree Basic:\n\n```text\n$0\n80 monthly video credits\nAccess to Pika 2.5, 480p only\nDownload videos with no watermark\nCommercial use\n```\n\nFür Text/Image-to-Video laut Pricing:\n\n```text\n480p / 5s = 12 credits Free\n```\n\nEinschätzung:\n\n- sehr brauchbarer Fallback\n- Free-Output nur 480p, aber für Shorts mit lokalem Upscale/Compositing akzeptabel\n- no-watermark + commercial-use Claim ist stark\n- monatlich begrenzter als PixVerse\n\nPriorität:\n\n```text\n#2 Pika\n```\n\n## 3. CapCut AI Video Maker\n\nGefunden auf:\n\n```text\nhttps://www.capcut.com/tools/ai-video-generator\n```\n\nCapCut sagt u.a.:\n\n```text\nFree AI Video Generator\nExport the finished video in HD quality for free\n```\n\nEinschätzung:\n\n- gut für manuelle Politur, Templates, Captions, Schnitt\n- Free-Quota öffentlich weniger klar\n- CapCut kann schnell in Pro-Assets/Upsell laufen\n- trotzdem nützlich als kostenloser Editor-/Assembler-Kandidat\n\nPriorität:\n\n```text\n#3 CapCut\n```\n\n## 4. Hailuo\n\nGefunden auf:\n\n```text\nhttps://hailuoai.video/\n```\n\nDie Seite zeigt einen Generator mit:\n\n```text\n768p\n6s\n25 credits\n```\n\nEinschätzung:\n\n- nur verwenden, falls kostenlose vorhandene Credits da sind\n- keine Käufe, keine Top-ups\n- weil du Hailuo explizit als „kein Geld für Credits“ genannt hast: nur Free-Quota-Fallback, nicht Hauptpfad\n\nPriorität:\n\n```text\n#4 Hailuo, nur falls Free-Credits verfügbar\n```\n\n## Nicht als Free-First geeignet\n\nAktuell nicht als Primary Free Workflow:\n\n```text\nRunway\nLuma\nKling\nVeo\nSora API\n```\n\nGrund:\n\n- entweder paid-first\n- Free-Kontingent unklar/klein\n- API/Automation meist bezahlt\n- oder nicht stabil genug für unseren kostenlosen Produktionspfad\n\n## Neue Workflow-Entscheidung\n\nDer Zielworkflow ist jetzt:\n\n```text\n1. Hermes/ChatGPT/NVIDIA LLM:\n   Shot plan, prompts, captions, scene specs\n\n2. Free AI Video Provider:\n   PixVerse / Pika / CapCut / Hailuo-Free\n   erzeugen realistische kurze Clips manuell im Browser\n\n3. Import:\n   Clips lokal speichern unter data/imported_ai_clips/...\n\n4. Local Renderer:\n   Mechanism-Layer, Captions, SFX, Timing, Assembly\n\n5. FFmpeg:\n   finales 9:16 MP4\n```\n\nDas heißt:  \n**Die realistischen Teile kommen aus kostenlosen KI-Video-Free-Tiers.**  \n**Die System-Erklärung, Captions und Montage bleiben lokal kontrolliert.**\n\nDas ist der richtige Hybrid. Nur lokal wird zu sehr Konzeptgrafik. Nur KI-Video wird generischer Slop. Zusammen wird es brauchbar. Welch seltene Gelegenheit, dass zwei halbe Lösungen zusammen eine ganze ergeben.\n\n## Im Repo neu gebaut\n\nNeue Komponente:\n\n```text\nautoshorts/free_ai_video_providers.py\n```\n\nNeues CLI:\n\n```text\nscripts/generate_free_ai_video_handoffs.py\n```\n\nNeue Tests:\n\n```text\ntests/test_free_ai_video_providers.py\n```\n\nNeues Artefakt:\n\n```text\ndata/free_ai_video_handoffs/mechanism_pilots/\n  hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.json\n```\n\n## Was dieses Handoff enthält\n\nFür den Pilot:\n\n```text\nWarum ein billiges Auto teuer sein kann\n```\n\nwerden jetzt **2 realistische AI-Video-Jobs** erzeugt:\n\n```text\nscene_01 → realistische KI-Video-Szene\nscene_02 → realistische KI-Video-Szene\n```\n\nProvider-Reihenfolge:\n\n```text\n1. PixVerse\n2. Pika\n3. CapCut\n4. Hailuo nur Free-Credits\n```\n\nGuardrails:\n\n```text\npaid_topups_allowed: false\npaid_subscriptions_allowed: false\ndo_not_buy_credits: true\navoid_pro_templates_or_paid_assets: true\nexport_without_baked_captions: true\nfinal_captions_added_locally: true\n```\n\nDie Mechanismus-Szenen bleiben vorerst lokal:\n\n```text\nscene_03 → local mechanism animation\nscene_04 → local mechanism animation\nscene_05 → local kinetic text\n```\n\nWarum? Weil KI-Video-Tools bei präzisen Layer-Erklärungen oft halluzinieren. Realistische Clips: ja. Exakte Erklärgrafik: lieber lokal kontrolliert.\n\n## Beispiel Prompt für Scene 1\n\nDas Handoff erzeugt provider-ready Prompts wie:\n\n```text\nVertical 9:16 realistic cinematic short video.\nA realistic creator at a desk late evening, laptop open to an AI chat,\nthoughtful but in control, hands moving between keyboard and notebook.\nMood: focused, modern, high-retention social video.\nScene intent: 3D car x-ray with price tag layers and risk meters freezes mid-action with warning signal.\nCamera: slow handheld push-in, subtle parallax, natural micro-movements.\nNo captions, no readable text, no logos, no watermarks.\nLeave clean negative space in the lower third for captions.\nThe clip should feel like real b-roll for a mechanism explainer, not a slideshow.\n```\n\nWichtig: Captions kommen später lokal drauf. Kein KI-Gibberish im Bild.\n\n## Tests\n\nFull suite:\n\n```text\n55 passed in 3.55s\n```\n\n## Git\n\nNeuer lokaler Commit:\n\n```text\n9f41a9f feat: add free ai video handoff specs\n```\n\nDavor liegt noch:\n\n```text\nff5df62 feat: add free local motion renderer\n```\n\nPush ist weiterhin blockiert, weil GitHub-Credentials in dieser Umgebung fehlen:\n\n```text\nfatal: could not read Username for 'https://github.com'\n```\n\n## Antwort auf deine Kernfrage\n\nJa: **Das Endprodukt soll realistischer werden.**\n\nWas du aktuell gesehen hast, ist:\n\n```text\nAnimatic / Motion Concept / Local Placeholder\n```\n\nNicht das finale Video.\n\nDer nächste Produktionsschritt ist jetzt konkret:\n\n```text\nPixVerse oder Pika öffnen\n→ scene_01 + scene_02 mit Free Credits generieren\n→ Clips herunterladen\n→ lokal importieren\n→ Local Renderer ersetzt Placeholder durch echte KI-Clips\n→ Mechanism Layers + Captions + SFX darüber\n→ finales MP4\n```\n\n## Nächster sinnvoller Schritt\n\nIch würde als Nächstes bauen:\n\n```text\nImported AI Clip Assembler\n```\n\nDamit das System automatisch prüft:\n\n```text\ndata/imported_ai_clips/<video_id>/scene_01.mp4\ndata/imported_ai_clips/<video_id>/scene_02.mp4\n```\n\nWenn Clips vorhanden sind:\n\n```text\nechte AI-Clips verwenden\n```\n\nWenn nicht:\n\n```text\nlocal placeholder verwenden\n```\n\nDann können wir Free-Tier-Clips manuell aus PixVerse/Pika holen und sofort in denselben Renderprozess einbauen.", "reasoning": null, "finish_reason": "stop", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqEZGxfmrYptRmaZ_IHaerF6myAeuW7LZYlWiFY_u0VdRaGSWGR1G86CPJssYaNmmi6fB6HmiJHvE46h_mq_4OOuey_MNt46Ss65bbAF4qCoUVZDykMplP7_QZfNX_G9nYM0vJOyO9UBRzIh-Mwk1QSoZkC2ESPmFk954Lqyp1YfyN7SI7GKoTXiDrxLe-4xlA-xkwk5LxtKO4-rjE1skDMbYqiqE9nr9-qDrk_XR5C0DAGyOp301RBSOwG_SPoanJt8ZkZUICi9A8L_fU469YOzd75lp-xygmCvUH8v254VUA1Nfg-oDAH5hxr1GgKvhLnNTBvPAlfCtdy5VZyjI8cWzWcRCP4OLHOCJvOM_kx5eDPTiQCREpgc_Rs5El6lVRrOle8r4QXe9uKAGuXjIcU1r8jBTvz8ZZHryWkRxVZzbCYyObqJgT-Btuvyh0lEAM35HdC0dspUEIkeS6BJKGORZi3zKHH9mAPHPEAqHRyFrKtGX9WfQQuvZfo6d8RPTzX77FU6qD4HR97ld49uyIKy3d5PVJ0LTPcuNXr28RBUSAo4bln6g60lui_20pkrSopVlrcU9xZ-ms8jerJLW7XPb0tiIAl6revVyu7eEzXUL0fAbaWPpWd3hs5saV2T3kPeJUvjSeSIOkj2s4m7SkbPbDpAnK97j6v3Vp99jdLbb4d5mdSiTp_0XaF3zLIK-h_dzjgsDugTYsUQMODx3jFRum208q5orr_lbMpkd6rNQYJqozY7i_GSJxqNJXCqZPelevy0gmFAwkRDpZBHWSyA5Bn85DP_esIt7zBImMbXA81ENwQYndMnAjHoxoxFEBOr4SNevYTlYbDIpzLuXcnEpjQeucjGptKbX3_0KbfHGF8yvdeHCHfrj4pRmkfPV37yK76CyBBp9iBg3PTlac-7MolcdxEmBhqUbio6LGfCfdBhfplWrzEaavcBrn0NKNRsPho1PVjTbrIpCZp1O7kX1J_fmn2VOLvvNAmz2hxBF6eynprf81ZVb4ROQKFjWH3nWLPv9a4qQRzn0c1VkRh1OpVNA4oqB6oq0qN63Jhbc4lF8DfV08xgUYYmn9owvMA_Fq-VmPOWeWu3801xLacyHOjSAuxfnZwf8DoRPRaKw2JIR_S_9H9zCbEB8SBULTJlqjKRApS2ZEnvPEMhs5bSCZlnOkbWNf0KPo7ky9AMdxcZr-RFUYmEkAOogEXSzUWVZT9X8rxftjjXH1a5fNTM6dERDdrUOPpZOw91W_NDeNCqhBP5Tz7ChXoxHTVgQdXfwSYvCRXqZLetDCFPplk89cry2AXB5bQfjHklMSAoPZAFwBR0jGQJgMeTJADMh2DGIPQ9YAIfJ5Rd3tTniFgKl7aPqahRXA6OSalE2STfQ5DvHOtEPSHud91VCGdkk5Opx0D2yOhVTcDI-AuGtTS9QqVajD_dH2nVP2p4_wvYkgTdYqbebQ48R7eCfGkn8d8h2jkDC6qaCi_obyYnhL9__nbzKDeVHv7lk0AVtBrMpH1OynPWBA-tAAqArznBKzqZOBg2cCSAv4WTpInAfcbBYXfJy8YH0DsLjXr6jUTqFO8v43W1TEmD1lvXXJkPWfS-Svyv83b4pDgOM-KEZugPN8pg8fUncYewO7H-HLYD8X6s-Che6P3HtW00vyNiPjrSSjk_UGYmsZYbcwLMx9M8ZI0kkT1L_nm31zviODY1uCiuwppFfCLv5nNps0QqUP5X1nL2n1xjYfsZdUEjTud26D-ClVtcLvLKEiAHcv5dPtFybXvk5I4P4JOE9R68_Rg_6pTFZBITif8smub_AwVSlwQJDxciMxZ_H_0tJ2AkrrbOBkphNer0dLQin_QX5zt-mkFPOcsga9gDMTuYRhepSK3RKwXs_3xWjUKNw8nz6ZY4lNIYFXCCt4kSiTQn3XB2BBlVIf07yJhmYe4U6CKhdTM4s1WLCc49e6NMZ33MFf5t5y905uoYC3lLK2y1IEDfT0FJWHbChp5UC2z_Zbp1xhug==", "id": "rs_0d1a4d10654d56b4016a1191ae1b408191a1683d577486d8d5", "summary": []}], "codex_message_items": [{"type": "message", "role": "assistant", "status": "completed", "content": [{"type": "output_text", "text": "Ja, Sir — exakt: **das aktuelle MP4 ist noch Konzept/Animatic**, kein fertiges realistisches Video.\n\nEs zeigt Timing, Layer, Captions und Mechanik. Für ein „einigermaßen realistisches“ Endprodukt brauchen wir tatsächlich **KI-generierte Videoclips** als B-Roll/Scene-Clips — aber eben nur über **Free Tiers**, nicht über bezahlte Credits.\n\nIch habe recherchiert und den Workflow entsprechend weitergebaut.\n\n## Recherche: gratis / free-tier KI-Video-Tools\n\n## 1. PixVerse\n\nGefunden auf:\n\n```text\nhttps://app.pixverse.ai/\n```\n\nDie App zeigt aktuell:\n\n```text\n90\nTäglich aktualisieren\nJetzt registrieren und kostenlose Credits erhalten\n```\n\nEinschätzung:\n\n- sehr interessant als **Primary Free-Tier Candidate**\n- offenbar tägliche Free-Credits\n- geeignet für realistische 9:16 Short-Clips\n- manuelle Browser-Nutzung/Login nötig\n- keine paid Top-ups erlaubt\n\nPriorität:\n\n```text\n#1 PixVerse\n```\n\n## 2. Pika\n\nGefunden auf offizieller Pricing-Seite:\n\n```text\nhttps://pika.art/pricing\n```\n\nFree Basic:\n\n```text\n$0\n80 monthly video credits\nAccess to Pika 2.5, 480p only\nDownload videos with no watermark\nCommercial use\n```\n\nFür Text/Image-to-Video laut Pricing:\n\n```text\n480p / 5s = 12 credits Free\n```\n\nEinschätzung:\n\n- sehr brauchbarer Fallback\n- Free-Output nur 480p, aber für Shorts mit lokalem Upscale/Compositing akzeptabel\n- no-watermark + commercial-use Claim ist stark\n- monatlich begrenzter als PixVerse\n\nPriorität:\n\n```text\n#2 Pika\n```\n\n## 3. CapCut AI Video Maker\n\nGefunden auf:\n\n```text\nhttps://www.capcut.com/tools/ai-video-generator\n```\n\nCapCut sagt u.a.:\n\n```text\nFree AI Video Generator\nExport the finished video in HD quality for free\n```\n\nEinschätzung:\n\n- gut für manuelle Politur, Templates, Captions, Schnitt\n- Free-Quota öffentlich weniger klar\n- CapCut kann schnell in Pro-Assets/Upsell laufen\n- trotzdem nützlich als kostenloser Editor-/Assembler-Kandidat\n\nPriorität:\n\n```text\n#3 CapCut\n```\n\n## 4. Hailuo\n\nGefunden auf:\n\n```text\nhttps://hailuoai.video/\n```\n\nDie Seite zeigt einen Generator mit:\n\n```text\n768p\n6s\n25 credits\n```\n\nEinschätzung:\n\n- nur verwenden, falls kostenlose vorhandene Credits da sind\n- keine Käufe, keine Top-ups\n- weil du Hailuo explizit als „kein Geld für Credits“ genannt hast: nur Free-Quota-Fallback, nicht Hauptpfad\n\nPriorität:\n\n```text\n#4 Hailuo, nur falls Free-Credits verfügbar\n```\n\n## Nicht als Free-First geeignet\n\nAktuell nicht als Primary Free Workflow:\n\n```text\nRunway\nLuma\nKling\nVeo\nSora API\n```\n\nGrund:\n\n- entweder paid-first\n- Free-Kontingent unklar/klein\n- API/Automation meist bezahlt\n- oder nicht stabil genug für unseren kostenlosen Produktionspfad\n\n## Neue Workflow-Entscheidung\n\nDer Zielworkflow ist jetzt:\n\n```text\n1. Hermes/ChatGPT/NVIDIA LLM:\n   Shot plan, prompts, captions, scene specs\n\n2. Free AI Video Provider:\n   PixVerse / Pika / CapCut / Hailuo-Free\n   erzeugen realistische kurze Clips manuell im Browser\n\n3. Import:\n   Clips lokal speichern unter data/imported_ai_clips/...\n\n4. Local Renderer:\n   Mechanism-Layer, Captions, SFX, Timing, Assembly\n\n5. FFmpeg:\n   finales 9:16 MP4\n```\n\nDas heißt:  \n**Die realistischen Teile kommen aus kostenlosen KI-Video-Free-Tiers.**  \n**Die System-Erklärung, Captions und Montage bleiben lokal kontrolliert.**\n\nDas ist der richtige Hybrid. Nur lokal wird zu sehr Konzeptgrafik. Nur KI-Video wird generischer Slop. Zusammen wird es brauchbar. Welch seltene Gelegenheit, dass zwei halbe Lösungen zusammen eine ganze ergeben.\n\n## Im Repo neu gebaut\n\nNeue Komponente:\n\n```text\nautoshorts/free_ai_video_providers.py\n```\n\nNeues CLI:\n\n```text\nscripts/generate_free_ai_video_handoffs.py\n```\n\nNeue Tests:\n\n```text\ntests/test_free_ai_video_providers.py\n```\n\nNeues Artefakt:\n\n```text\ndata/free_ai_video_handoffs/mechanism_pilots/\n  hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.json\n```\n\n## Was dieses Handoff enthält\n\nFür den Pilot:\n\n```text\nWarum ein billiges Auto teuer sein kann\n```\n\nwerden jetzt **2 realistische AI-Video-Jobs** erzeugt:\n\n```text\nscene_01 → realistische KI-Video-Szene\nscene_02 → realistische KI-Video-Szene\n```\n\nProvider-Reihenfolge:\n\n```text\n1. PixVerse\n2. Pika\n3. CapCut\n4. Hailuo nur Free-Credits\n```\n\nGuardrails:\n\n```text\npaid_topups_allowed: false\npaid_subscriptions_allowed: false\ndo_not_buy_credits: true\navoid_pro_templates_or_paid_assets: true\nexport_without_baked_captions: true\nfinal_captions_added_locally: true\n```\n\nDie Mechanismus-Szenen bleiben vorerst lokal:\n\n```text\nscene_03 → local mechanism animation\nscene_04 → local mechanism animation\nscene_05 → local kinetic text\n```\n\nWarum? Weil KI-Video-Tools bei präzisen Layer-Erklärungen oft halluzinieren. Realistische Clips: ja. Exakte Erklärgrafik: lieber lokal kontrolliert.\n\n## Beispiel Prompt für Scene 1\n\nDas Handoff erzeugt provider-ready Prompts wie:\n\n```text\nVertical 9:16 realistic cinematic short video.\nA realistic creator at a desk late evening, laptop open to an AI chat,\nthoughtful but in control, hands moving between keyboard and notebook.\nMood: focused, modern, high-retention social video.\nScene intent: 3D car x-ray with price tag layers and risk meters freezes mid-action with warning signal.\nCamera: slow handheld push-in, subtle parallax, natural micro-movements.\nNo captions, no readable text, no logos, no watermarks.\nLeave clean negative space in the lower third for captions.\nThe clip should feel like real b-roll for a mechanism explainer, not a slideshow.\n```\n\nWichtig: Captions kommen später lokal drauf. Kein KI-Gibberish im Bild.\n\n## Tests\n\nFull suite:\n\n```text\n55 passed in 3.55s\n```\n\n## Git\n\nNeuer lokaler Commit:\n\n```text\n9f41a9f feat: add free ai video handoff specs\n```\n\nDavor liegt noch:\n\n```text\nff5df62 feat: add free local motion renderer\n```\n\nPush ist weiterhin blockiert, weil GitHub-Credentials in dieser Umgebung fehlen:\n\n```text\nfatal: could not read Username for 'https://github.com'\n```\n\n## Antwort auf deine Kernfrage\n\nJa: **Das Endprodukt soll realistischer werden.**\n\nWas du aktuell gesehen hast, ist:\n\n```text\nAnimatic / Motion Concept / Local Placeholder\n```\n\nNicht das finale Video.\n\nDer nächste Produktionsschritt ist jetzt konkret:\n\n```text\nPixVerse oder Pika öffnen\n→ scene_01 + scene_02 mit Free Credits generieren\n→ Clips herunterladen\n→ lokal importieren\n→ Local Renderer ersetzt Placeholder durch echte KI-Clips\n→ Mechanism Layers + Captions + SFX darüber\n→ finales MP4\n```\n\n## Nächster sinnvoller Schritt\n\nIch würde als Nächstes bauen:\n\n```text\nImported AI Clip Assembler\n```\n\nDamit das System automatisch prüft:\n\n```text\ndata/imported_ai_clips/<video_id>/scene_01.mp4\ndata/imported_ai_clips/<video_id>/scene_02.mp4\n```\n\nWenn Clips vorhanden sind:\n\n```text\nechte AI-Clips verwenden\n```\n\nWenn nicht:\n\n```text\nlocal placeholder verwenden\n```\n\nDann können wir Free-Tier-Clips manuell aus PixVerse/Pika holen und sofort in denselben Renderprozess einbauen."}], "id": "msg_0d1a4d10654d56b4016a1191b18b388191be3fead6ca5498a6", "phase": "final_answer"}], "timestamp": "2026-05-23T13:38:58.747296"}
{"role": "assistant", "content": "", "reasoning": "**Assessing ChatGPT Pro features**\n\nI need to gather current facts about ChatGPT Pro features, so I'll check for the latest info. The task indicates I should continue building the imported assembler, which requires relevant skills in social and TDD that I might already have. I might also want to search for video generation related to ChatGPT Pro. Using a web search for OpenAI pricing and help could be beneficial as well, along with coding what I find.", "finish_reason": "tool_calls", "reasoning_content": "**Assessing ChatGPT Pro features**\n\nI need to gather current facts about ChatGPT Pro features, so I'll check for the latest info. The task indicates I should continue building the imported assembler, which requires relevant skills in social and TDD that I might already have. I might also want to search for video generation related to ChatGPT Pro. Using a web search for OpenAI pricing and help could be beneficial as well, along with coding what I find.", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqEZNPqik-bRW0OtmcEys1zs9M7alC-PS9Ods9BOEMM1GeRrOVgxhIKNmjslDvUPRSKjlZp4pLhwK8GT6-Bl22eMwJ_p1cgUB5fvO7TxPdJNXmu299afZa7-R5IyEsmoeWQi7GYL9O_2BJJklc6MjWCAltsyhqhqnXxVbb1J1ZoHFgRmXRMcRFxNmsVXsaSvWPc6wLyxlUPJlz_wGm7PLL58ZyOEaIK7ab8Zep2oHXCwKwqDzs8zg7JbQK4q2c9Z0rQcxcQ3zAdR9TqdweZ3UP-KUIPse8DsBv0ZUQhAP4HyiZejumLfVM9jpuP2rlx6ORw2wK3ujpHH27gtfCwTAbYUJQjaWicIorPJ8OFb6phSi18fXfz0WVvfaQ4LnsC9P4KAh3UOZ0Vrj3KaS8QpcFvnzJakRIMGlNbkylghOOpsqNvGmiy5EHeOrKbb8fmou2Y0lNSp_r2ar8eUnd2YAhOPkOY_dEPSKtwBDCmKFZq1emAMROhcf1DIxK3B5VeBNoXfrumKMoFMUYXd_J9rCn4n0FUfkx4ykmvP28CvFu4V_x8YrBkS1G-wOmvhTY180jcpFzpm-A8QOWX88HPQF5OomAXWLKqRSv7PjG2bviyoAqAt1oAlc5oz6Nr_Ubz84dAtqMry4OebQ6aqeVFZsJH7i44fYCcOCBOuFLOsrxVbcYIIxJXAuUvwEudOBWcdd54gfuY74OYs7qGwHCNiXSJ0b_Kotw-9dBw8-iqVafXf_6pOWAhMsS4zEupXUJJDQZB9A1U0m-F2DdTsvh0xsxpUZchpc8alZ5qGFd964IGcTSyZz7n3voQelpFI77PBP_NI-2fu9vBEMsSyVv3D5baNScU718v7uYPoXo3e7ZpZQ4f1vxw5b6hIYPEMNXQY6iFiO0GxXPHpIh9ArKtIy8PQA89Pg8JhSUd6fwTqXJrEEq2XAlQfNuVdFXJWQSlgDCf4Wiv4fdzJgzZw3KSa1HXq8OJdcAUlWnYYcd8vkuezx1SN1n065TaGT0jeC9wa0YTGKp7fM3tIa1AArzKq5mluUnrDWLze-scCrAZnmk7RT9OaIVqh-69eQt8W5GSl3KgnLjxsRxBWHGNASKVIvTpn2WgHVFuN8JmU3pXjLkwCyZk92Dn_9Bmhffl8Wo9VEVimJ3cEPsQxzTdbM6EXhUVv82e3UovMnfRvfADb-m1Ik2Cs1vEuDkLfWkea477uEqqSze-VELhXY5DbceI0HKJcidofrBnHs4nDshqPDwXvu8mE4MoXmbfakowFPetRozLYk2fNe1lYSZoXeH92_SnQiEAi6CtpmU4xDIRFqBcEwQ2stOhiyYXqvvhV_IgjtKUsmUfZgwhV1xZtPQGR6cwYdbRQ==", "id": "rs_0d1a4d10654d56b4016a11934c5c308191860ac90b482c95d7", "summary": [{"type": "summary_text", "text": "**Assessing ChatGPT Pro features**\n\nI need to gather current facts about ChatGPT Pro features, so I'll check for the latest info. The task indicates I should continue building the imported assembler, which requires relevant skills in social and TDD that I might already have. I might also want to search for video generation related to ChatGPT Pro. Using a web search for OpenAI pricing and help could be beneficial as well, along with coding what I find."}]}], "tool_calls": [{"id": "call_Rl4MhYkKziCrxsazStJhgJRE", "call_id": "call_Rl4MhYkKziCrxsazStJhgJRE", "response_item_id": "fc_0d1a4d10654d56b4016a11934f2c4481918c6fbe8e9f423911", "type": "function", "function": {"name": "todo", "arguments": "{\"todos\":[{\"id\":\"chatgpt-pro\",\"content\":\"Aktuelle ChatGPT Pro Video-/Sora-Leistungen prüfen\",\"status\":\"in_progress\"},{\"id\":\"tdd-import\",\"content\":\"TDD für Imported AI Clip Assembler schreiben und RED verifizieren\",\"status\":\"pending\"},{\"id\":\"build-import\",\"content\":\"Imported AI Clip Assembler implementieren\",\"status\":\"pending\"},{\"id\":\"verify\",\"content\":\"Tests/Artefakte/Git-Status verifizieren\",\"status\":\"pending\"}]}"}}], "timestamp": "2026-05-23T13:50:28.266913"}
{"role": "tool", "name": "todo", "content": "{\"todos\": [{\"id\": \"chatgpt-pro\", \"content\": \"Aktuelle ChatGPT Pro Video-/Sora-Leistungen prüfen\", \"status\": \"in_progress\"}, {\"id\": \"tdd-import\", \"content\": \"TDD für Imported AI Clip Assembler schreiben und RED verifizieren\", \"status\": \"pending\"}, {\"id\": \"build-import\", \"content\": \"Imported AI Clip Assembler implementieren\", \"status\": \"pending\"}, {\"id\": \"verify\", \"content\": \"Tests/Artefakte/Git-Status verifizieren\", \"status\": \"pending\"}], \"summary\": {\"total\": 4, \"pending\": 3, \"in_progress\": 1, \"completed\": 0, \"cancelled\": 0}}", "tool_call_id": "call_Rl4MhYkKziCrxsazStJhgJRE", "timestamp": "2026-05-23T13:50:28.266913"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_WeC2fDi1ybgOcSnuLkrgEcPK", "call_id": "call_WeC2fDi1ybgOcSnuLkrgEcPK", "response_item_id": "fc_0d1a4d10654d56b4016a119354ae4081919f059d0a5e92184a", "type": "function", "function": {"name": "browser_navigate", "arguments": "{\"url\":\"https://openai.com/chatgpt/pricing/\"}"}}, {"id": "call_PwdXJBXQMOG3uWKLuqM6HOdT", "call_id": "call_PwdXJBXQMOG3uWKLuqM6HOdT", "response_item_id": "fc_0d1a4d10654d56b4016a119354ae548191857188158af5d36a", "type": "function", "function": {"name": "browser_navigate", "arguments": "{\"url\":\"https://help.openai.com/en/articles/9957612-generating-videos-on-sora\"}"}}, {"id": "call_nUvuznE7Ajp6lF2yRtx4dvFv", "call_id": "call_nUvuznE7Ajp6lF2yRtx4dvFv", "response_item_id": "fc_0d1a4d10654d56b4016a119354ae608191a15663be2eca58ba", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"git status --short && git log --oneline -3\",\"timeout\":60,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}"}}], "timestamp": "2026-05-23T13:50:28.266913"}
{"role": "tool", "name": "browser_navigate", "content": "{\"success\": true, \"url\": \"https://chatgpt.com/de-DE/pricing/\", \"title\": \"ChatGPT-Pläne | Free, Go, Plus, Pro, Business und Enterprise\", \"stealth_warning\": \"Running WITHOUT residential proxies. Bot detection may be more aggressive. Consider upgrading Browserbase plan for proxy support.\", \"stealth_features\": [\"local\"], \"snapshot\": \"- generic\\n  - link \\\"ChatGPT-Blüten-Logo\\\" [ref=e1]\\n    - image \\\"ChatGPT-Blüten-Logo\\\"\\n  - navigation\\n    - list\\n      - listitem [level=1]\\n        - link \\\"Über OpenAI\\\" [ref=e61]\\n      - listitem [level=1]\\n        - button \\\"Funktionen\\\" [expanded=false, ref=e63]\\n      - listitem [level=1]\\n        - button \\\"Lernen\\\" [expanded=false, ref=e64]\\n      - listitem [level=1]\\n        - generic\\n          - link \\\"Codex\\\" [expanded=false, ref=e65]\\n      - listitem [level=1]\\n        - link \\\"Business\\\" [expanded=false, ref=e66]\\n      - listitem [level=1]\\n        - link \\\"Preisgestaltung\\\" [expanded=false, ref=e67]\\n      - listitem [level=1]\\n        - link \\\"Herunterladen\\\" [ref=e62]\\n  - button \\\"Anmelden\\\" [ref=e2]\\n  - button \\\"Kostenlos registrieren\\\" [ref=e3]\\n- generic\\n  - heading \\\"Preisgestaltung\\\" [level=1, ref=e4]\\n- generic\\n  - heading \\\"Free\\\" [level=3, ref=e22]\\n  - paragraph\\n  - StaticText \\\"/ Monat\\\"\\n  - link \\\"Free holen\\\" [ref=e23]\\n  - list\\n  - paragraph\\n    - link \\\"Abrechnungshilfe\\\" [ref=e44]\\n- generic\\n  - heading \\\"Go\\\" [level=3, ref=e24]\\n  - paragraph\\n  - StaticText \\\"/ Monat\\\"\\n  - link \\\"Go holen\\\" [ref=e25]\\n  - StaticText \\\"Alles aus Free sowie:\\\"\\n  - list\\n  - paragraph\\n    - link \\\"Mehr erfahren\\\" [ref=e45]\\n- generic\\n  - heading \\\"Plus\\\" [level=3, ref=e26]\\n  - paragraph\\n  - StaticText \\\"/ Monat\\\"\\n  - link \\\"Plus holen\\\" [ref=e27]\\n  - StaticText \\\"Alles aus Go und:\\\"\\n  - list\\n  - paragraph\\n    - link \\\"Es gelten Nutzungsobergrenzen\\\" [ref=e46]\\n- generic\\n  - StaticText \\\"Das Doppelte deiner normalen Codex-Nutzung auf der Tarifstufe / Monat bis zum 31. Mai 2026.\\\"\\n  - heading \\\"Pro\\\" [level=3, ref=e28]\\n  - paragraph\\n  - StaticText \\\"Ab\\\"\\n  - StaticText \\\"/ Monat\\\"\\n  - link \\\"Pro holen\\\" [ref=e29]\\n  - StaticText \\\"Alles aus Plus sowie:\\\"\\n  - list\\n  - paragraph\\n    - link \\\"Mehr erfahren\\\" [ref=e47]\\n- article\\n  - heading \\\"Unternehmen Codex\\\" [level=3, ref=e30]\\n  - link \\\"Jetzt loslegen\\\" [ref=e48]\\n- article\\n  - heading \\\"Unternehmen ChatGPT und Codex\\\" [level=3, ref=e31]\\n  - paragraph\\n  - StaticText \\\"/ Benutzer / Monat\\\"\\n  - link \\\"Loslegen\\\" [ref=e49]\\n  - StaticText \\\"Was enthalten ist:\\\"\\n  - list\\n  - generic\\n    - link \\\"Mehr erfahren\\\" [ref=e50]\\n- article\\n  - heading \\\"Enterprise\\\" [level=3, ref=e32]\\n    - StaticText \\\"Enterprise\\\"\\n  - paragraph\\n    - StaticText \\\"KI, Sicherheit und Support der Enterprise-Klasse für große Unternehmen\\\"\\n  - StaticText \\\"Individuelle Preisgestaltung\\\"\\n  - StaticText \\\"Wende dich an unser Vertriebsteam, um die Preise zu besprechen.\\\"\\n  - link \\\"Vertrieb kontaktieren\\\" [ref=e51]\\n    - StaticText \\\"Vertrieb kontaktieren\\\"\\n  - StaticText \\\"Was enthalten ist:\\\"\\n  - list\\n    - listitem [level=1]\\n      - paragraph\\n    - listitem [level=1]\\n      - paragraph\\n    - listitem [level=1]\\n      - paragraph\\n        - link \\\"Mehr erfahren\\\" [ref=e68]\\n- generic\\n  - heading \\\"Im Einsatz bei Teams von\\\" [level=4, ref=e33]\\n- generic\\n  - heading \\\"Funktionen der Pläne vergleichen\\\" [level=4, ref=e52]\\n- generic\\n  - generic\\n    - generic\\n      - paragraph\\n      - generic\\n        - link \\\"Free holen\\\" [ref=e75]\\n      - paragraph\\n      - generic\\n        - link \\\"Go holen\\\" [ref=e76]\\n      - paragraph\\n      - generic\\n        - link \\\"Plus holen\\\" [ref=e77]\\n      - paragraph\\n      - generic\\n        - link \\\"Pro holen\\\" [ref=e78]\\n      - paragraph\\n      - generic\\n        - link \\\"Business holen\\\" [ref=e79]\\n      - paragraph\\n      - generic\\n        - link \\\"Vertrieb kontaktieren\\\" [ref=e158]\\n    - generic\\n      - heading \\\"Essentials\\\" [level=3, ref=e69]\\n      - generic\\n        - heading \\\"Nachrichten und Interaktionen\\\" [level=6, ref=e80]\\n      - generic\\n        - heading \\\"Chatverlauf\\\" [level=6, ref=e81]\\n      - generic\\n        - heading \\\"Zugriff per Web, iOS, Android\\\" [level=6, ref=e82]\\n    - generic\\n      - heading \\\"Modelle\\\" [level=3, ref=e70]\\n      - generic\\n        - heading \\\"GPT-5.5 Instant\\\" [level=6, ref=e83]\\n      - generic\\n        - heading \\\"GPT-5.5 Thinking\\\" [level=6, ref=e84]\\n      - generic\\n        - heading \\\"GPT-5.5 Pro\\\" [level=6, ref=e85]\\n      - generic\\n        - heading \\\"GPT-5 Thinking Mini\\\" [level=6, ref=e86]\\n      - generic\\n        - heading \\\"Legacy-Modelle\\\" [level=6, ref=e87]\\n      - generic\\n        - heading \\\"Reaktionszeiten\\\" [level=6, ref=e88]\\n      - generic\\n        - heading \\\"GPT Instant – Gesamt-Kontextfenster\\\" [level=6, ref=e89]\\n      - generic\\n        - heading \\\"GPT Instant – maximale Eingabe***\\\" [level=6, ref=e90]\\n      - generic\\n        - heading \\\"GPT Reasoning – Gesamt-Kontextfenster\\\" [level=6, ref=e91]\\n      - generic\\n        - heading \\\"GPT Reasoning – maximale Eingabe***\\\" [level=6, ref=e92]\\n      - generic\\n        - heading \\\"Regelmäßige Updates zu Qualität und Tempo bei Modellverbesserungen\\\" [level=6, ref=e93]\\n    - generic\\n      - heading \\\"Funktionen\\\" [level=3, ref=e71]\\n      - generic\\n        - heading \\\"Sprachchat\\\" [level=6, ref=e94]\\n      - generic\\n        - heading \\\"Stimme und Video\\\" [level=6, ref=e95]\\n      - generic\\n        - heading \\\"Apps\\\" [level=6, ref=e96]\\n      - generic\\n        - heading \\\"Codex\\\" [level=6, ref=e97]\\n      - generic\\n        - heading \\\"Skills-Beta\\\" [level=6, ref=e98]\\n      - generic\\n        - heading \\\"Erinnerung\\\" [level=6, ref=e99]\\n      - generic\\n        - heading \\\"Erinnerung mit vergangenen Chats\\\" [level=6, ref=e100]\\n      - generic\\n        - heading \\\"Erinnerungsquellen\\\" [level=6, ref=e101]\\n      - generic\\n        - heading \\\"Suche\\\" [level=6, ref=e102]\\n      - generic\\n        - heading \\\"Canvas\\\" [level=6, ref=e103]\\n      - generic\\n        - heading \\\"Codeänderungen auf macOS\\\" [level=6, ref=e104]\\n      - generic\\n        - heading \\\"Projekte\\\" [level=6, ref=e105]\\n      - generic\\n        - heading \\\"Gemeinsame Projekte\\\" [level=6, ref=e106]\\n      - generic\\n        - heading \\\"Aufgaben\\\" [level=6, ref=e107]\\n      - generic\\n        - heading \\\"Datenanalyse\\\" [level=6, ref=e108]\\n      - generic\\n        - heading \\\"Vision\\\" [level=6, ref=e109]\\n      - generic\\n        - heading \\\"Apps, die mit internen Tools verbunden sind\\\" [level=6, ref=e110]\\n      - generic\\n        - heading \\\"Interaktive Apps\\\" [level=6, ref=e111]\\n      - generic\\n        - heading \\\"App-Verzeichnis\\\" [level=6, ref=e112]\\n      - generic\\n        - heading \\\"Erweiterungen für Excel und Google Sheets\\\" [level=6, ref=e113]\\n      - generic\\n        - heading \\\"Unternehmenswissen\\\" [level=6, ref=e114]\\n      - generic\\n        - heading \\\"Entwicklermodus (Beta)\\\" [level=6, ref=e115]\\n      - generic\\n        - heading \\\"ChatGPT-Aufnahmemodus\\\" [level=6, ref=e116]\\n      - generic\\n        - heading \\\"Datei-Uploads\\\" [level=6, ref=e117]\\n      - generic\\n        - heading \\\"GPTs entdecken und verwenden\\\" [level=6, ref=e118]\\n      - generic\\n        - heading \\\"GPTs erstellen und teilen\\\" [level=6, ref=e119]\\n      - generic\\n        - heading \\\"GPTs mit deinem Workspace teilen\\\" [level=6, ref=e120]\\n      - generic\\n        - heading \\\"Möglichkeit zum Testen neuer Funktionen\\\" [level=6, ref=e121]\\n      - generic\\n        - heading \\\"Bildgenerierung\\\" [level=6, ref=e122]\\n      - generic\\n        - heading \\\"Bildgenerierung mit Thinking\\\" [level=6, ref=e123]\\n      - generic\\n        - heading \\\"Interaktive Tabellen und Diagramme\\\" [level=6, ref=e124]\\n      - generic\\n        - heading \\\"Deep Research\\\" [level=6, ref=e125]\\n      - generic\\n        - heading \\\"Apps für Deep Research\\\" [level=6, ref=e126]\\n      - generic\\n        - heading \\\"Lernmodus\\\" [level=6, ref=e127]\\n      - generic\\n        - heading \\\"ChatGPT Pulse\\\" [level=6, ref=e128]\\n    - generic\\n      - heading \\\"Datenschutz\\\" [level=3, ref=e72]\\n      - generic\\n        - heading \\\"Inhalte werden zum Training unserer Modelle verwendet\\\" [level=6, ref=e129]\\n    - generic\\n      - heading \\\"Sicherheit und Verwaltung\\\" [level=3, ref=e73]\\n      - generic\\n        - heading \\\"SAML SSO\\\" [level=6, ref=e130]\\n      - generic\\n        - heading \\\"Einheitliche Abrechnung\\\" [level=6, ref=e131]\\n      - generic\\n        - heading \\\"Dedizierter Workspace\\\" [level=6, ref=e132]\\n      - generic\\n        - heading \\\"GPT-Analytics und -Verwaltung\\\" [level=6, ref=e133]\\n      - generic\\n\\n[... 97 more lines truncated, use browser_snapshot for full content]\", \"element_count\": 158}", "tool_call_id": "call_WeC2fDi1ybgOcSnuLkrgEcPK", "timestamp": "2026-05-23T13:50:28.266913"}
{"role": "tool", "name": "browser_navigate", "content": "{\"success\": true, \"url\": \"https://help.openai.com/en/articles/9957612-generating-videos-on-sora\", \"title\": \"\", \"snapshot\": \"- link \\\"OpenAI\\\" [ref=e1]\\n- generic\\n  - button \\\"Language\\\" [expanded=false, ref=e6]\\n- link \\\"Login\\\" [ref=e2]\\n- generic\\n  - textbox \\\"Search for articles...\\\" [ref=e7]\\n- heading \\\"UH OH. THAT PAGE DOESN'T EXIST.\\\" [level=1, ref=e3]\\n- link \\\"Go back home\\\" [ref=e4]\\n- paragraph\\n  - link \\\"logging in\\\" [ref=e8]\\n- contentinfo\\n  - image \\\"OpenAI logo\\\"\\n  - navigation\\n    - link \\\"ChatGPT\\\" [ref=e11]\\n    - link \\\"API\\\" [ref=e12]\\n    - link \\\"Service Status\\\" [ref=e13]\\n    - button \\\"Open cookie preferences dialog\\\" [ref=e14]\\n- button \\\"Open chat\\\" [ref=e5]\\n- generic\\n  - paragraph\\n  - paragraph\\n    - link \\\"Cookie Policy\\\" [ref=e15]\\n  - button \\\"Reject all cookies\\\" [ref=e9]\\n  - button \\\"Accept all cookies\\\" [ref=e10]\", \"element_count\": 15}", "tool_call_id": "call_PwdXJBXQMOG3uWKLuqM6HOdT", "timestamp": "2026-05-23T13:50:28.266913"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \"?? autoshorts/review_package.py\\n?? data/telegram_reviews/\\n?? scripts/generate_telegram_review_packages.py\\n?? tests/test_review_package.py\\n9f41a9f feat: add free ai video handoff specs\\nff5df62 feat: add free local motion renderer\\nb54a903 feat: add free production job specs\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_nUvuznE7Ajp6lF2yRtx4dvFv", "timestamp": "2026-05-23T13:50:28.266913"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqEZNftGtn5sQY8S6FKFTEXKrFING-61CMU6g6CRqu9kRC0q5ecIlGiNZRoLYqRfwgFT30sML3VNk04AIztQb2-FZTfchuLF8QttSk1agjzqqk6vY24gBf8Xly1h6Ql7m6HDqdKx40ww4XLtPMiRWsd62_nhCKKUk3eCL4g8QlPafGh1wr0ZXb9PatSccL3e6PgdOkrv88UWh-QH0ncoPNcYNxmCQtQP-5Ot9las9-C6wMkpm-eo4xx1b13FEEHGuU-rKF8_juz1JsoSGoswMYmo3Ju3GA9lX_FLGyAEZuFy5nKp7cpKlLom7NQ6ncsnPYHF8mrQYKCGFuGOCiu7StFWUArijcDq3oPuzf5DccU2x3MfNNklisFXp3SLsXpy6wL2rwNvRs57ddDY7oa9jZu0mI2qv4REWB1R0G2NrTnvtJO_lVZ_DwiZNhVGlqJJlJmOpUyfzA2LVKOUQIy9EliUwsB4S0tjI5tjB8OyB9EDqe8nX0P5Q38aNQs-e2EKnPWOvFyBf1zAgQaDoIHyvvaDnRvDeaT4icC1RBn5jXMTz-lxg5jzA1zB34GA88-t2agXDQwgUY6FB_vDXGsIdBzRXGELD8m55sw8KC4VezLe7mLx6nKq4JoXzcoaRzDWNpJD3SbEDoCSVWyTZSLNuM6B6FMqKbH_sIYZ8d8MpQkJzwXotuJV7WI9v6j2r0TIc0f6jW9QwX5aSR_QS7PkNWiQxigWmG9hfVgalniyENOKR86XxuMrohUJEOmUJyszIMRx6ZXWzAoGx9E1OWAA0wzn6qZ1zv8gasXRKqacRhPf_PVelyvKxM_VCCcAhwROyz_NS9rb44-27vxFzOGislabRk267yzYdsBfyOXumjQSQVn9UYx0EW0rucHn2DXKqIM-O5OzWI3OTwjlK9OfaZi16hwzuDtPSJZZiDfmaoUByfxMasZUwk6Gke9RnlPchF4bSiePtHt7jg5ZE23ohsVB2Ple120DPfKmjN5T0CnSNUFAmBNthILUcXSltcQkDJbHi_", "id": "rs_0d1a4d10654d56b4016a11935f13888191a6eb013088122a6a", "summary": []}], "tool_calls": [{"id": "call_qTBhrD3woV4uWRqq1MLAZ7ii", "call_id": "call_qTBhrD3woV4uWRqq1MLAZ7ii", "response_item_id": "fc_0d1a4d10654d56b4016a11935fb318819197de87528843f22f", "type": "function", "function": {"name": "browser_console", "arguments": "{\"expression\":\"document.body.innerText.split('\\\\n').filter(l=>/Sora|Video|video|Bildgenerierung|Pro|unbegrenzt|priority/i.test(l)).slice(0,120)\"}"}}], "timestamp": "2026-05-23T13:50:28.266913"}
{"role": "tool", "name": "browser_console", "content": "{\"success\": true, \"result\": [\"We use cookies and similar technologies to deliver, maintain, improve our services and for security purposes.\"], \"result_type\": \"list\"}", "tool_call_id": "call_qTBhrD3woV4uWRqq1MLAZ7ii", "timestamp": "2026-05-23T13:50:28.266913"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqEZNmY2Cw3v1-lR673qmnTQt6x6A8WoicVzrIOht73LYgKfwvVB74KQ8cd9nr63nl0oQ2EdIiVqTf1VSqVPzdxLX01gw3SPYCflOrUGu9WCvgATZ_xnrT5MN4FIsu6CA2FQB7JSQGaIJgf5YyQW8uTpXoUCTCl3YisMsf7wrKRJpNQW-oNLdII27gpBJB-xeTaqxzAa7c215RV2JhEjaJzAc5atCMMWY-CeIyebBKo3gcUApDGEuo22i0EK9fn-FCAu0BQRn5_g38WYZEXexOZb2-YuV7hFrFTS5euEJ5gLb29BfD8WjwPelniCF_Ni9jvHKX4YMB6Fy_D59eJdWM3Ta5rT4BeTsIn1rjiYuhGwo0Q3dEqbl4Xtr2V-I_5QlnFlj26YeZlZGBbSKlDmwWbY2MWTACYGmdHvaul1ix_84lGR95_tNGAFlwzxeKrlhG6wI6gEqsDHT8iA-5Mcw8X385LgO6Khu3_KyVg9qW3Qgr9JmxMVQA9vHY1QJsyLsYYj3OlaXaB1hFZ7e0UQv7XYABJ6q6teseYfed14y-Pfe3EFm7kejU1rMGxPFHZHBtXWbykWFuNemCydHHsZ9zbI13tZ6mN3VAw7u3VDm_Wkp2eeIQ3JdUq3KSSN0jwOwKeyieT2DfNdzylbbW8e1iluuqkZtLv-V9KTjo3PhOti-4GdmWuZDuyzQprRz4NlyeEDo3YAd2UvpMmLOlY2zGFJg9AVA9fl42mp9V6BY29CM5HXECmZt_hx6FyBsKtmlQdZX5Uve_eSa3t4ZT8v0f-ncWSD2E1TfifUij0zrTzl-H1vMzRYPCGPjykVe5pwqW51syEQj_XnTmi6W0niUMPbNTM0dPKdszQVs3YhzFN4iiddPv44gi38UdunopXytXoN9zC24d1WG5IBaL0AZRf1P5JuaH3g9HY0Ej0YzLBvmLdyHKLR5H2fZnCymiRvjC7dDQKHrZsP5FCI5yPfaorQfJGft3oFQpH_sJUDV8taAmjYcNqsYklplauCqaApBoeZJD", "id": "rs_0d1a4d10654d56b4016a11936402908191bb1f7db9bb3e12f8", "summary": []}], "tool_calls": [{"id": "call_Gr6r3th6eWECzVxExoz8vPwv", "call_id": "call_Gr6r3th6eWECzVxExoz8vPwv", "response_item_id": "fc_0d1a4d10654d56b4016a1193666f0881918ae8362961154fbf", "type": "function", "function": {"name": "browser_navigate", "arguments": "{\"url\":\"https://chatgpt.com/pricing/\"}"}}], "timestamp": "2026-05-23T13:50:28.266913"}
{"role": "tool", "name": "browser_navigate", "content": "{\"success\": true, \"url\": \"https://chatgpt.com/de-DE/pricing/\", \"title\": \"ChatGPT-Pläne | Free, Go, Plus, Pro, Business und Enterprise\", \"snapshot\": \"- generic\\n  - link \\\"ChatGPT-Blüten-Logo\\\" [ref=e1]\\n    - image \\\"ChatGPT-Blüten-Logo\\\"\\n  - navigation\\n    - list\\n      - listitem [level=1]\\n        - link \\\"Über OpenAI\\\" [ref=e61]\\n      - listitem [level=1]\\n        - button \\\"Funktionen\\\" [expanded=false, ref=e63]\\n      - listitem [level=1]\\n        - button \\\"Lernen\\\" [expanded=false, ref=e64]\\n      - listitem [level=1]\\n        - generic\\n          - link \\\"Codex\\\" [expanded=false, ref=e65]\\n      - listitem [level=1]\\n        - link \\\"Business\\\" [expanded=false, ref=e66]\\n      - listitem [level=1]\\n        - link \\\"Preisgestaltung\\\" [expanded=false, ref=e67]\\n      - listitem [level=1]\\n        - link \\\"Herunterladen\\\" [ref=e62]\\n  - button \\\"Anmelden\\\" [ref=e2]\\n  - button \\\"Kostenlos registrieren\\\" [ref=e3]\\n- generic\\n  - heading \\\"Preisgestaltung\\\" [level=1, ref=e4]\\n- generic\\n  - heading \\\"Free\\\" [level=3, ref=e22]\\n  - paragraph\\n  - StaticText \\\"/ Monat\\\"\\n  - link \\\"Free holen\\\" [ref=e23]\\n  - list\\n  - paragraph\\n    - link \\\"Abrechnungshilfe\\\" [ref=e44]\\n- generic\\n  - heading \\\"Go\\\" [level=3, ref=e24]\\n  - paragraph\\n  - StaticText \\\"/ Monat\\\"\\n  - link \\\"Go holen\\\" [ref=e25]\\n  - StaticText \\\"Alles aus Free sowie:\\\"\\n  - list\\n  - paragraph\\n    - link \\\"Mehr erfahren\\\" [ref=e45]\\n- generic\\n  - heading \\\"Plus\\\" [level=3, ref=e26]\\n  - paragraph\\n  - StaticText \\\"/ Monat\\\"\\n  - link \\\"Plus holen\\\" [ref=e27]\\n  - StaticText \\\"Alles aus Go und:\\\"\\n  - list\\n  - paragraph\\n    - link \\\"Es gelten Nutzungsobergrenzen\\\" [ref=e46]\\n- generic\\n  - StaticText \\\"Das Doppelte deiner normalen Codex-Nutzung auf der Tarifstufe / Monat bis zum 31. Mai 2026.\\\"\\n  - heading \\\"Pro\\\" [level=3, ref=e28]\\n  - paragraph\\n  - StaticText \\\"Ab\\\"\\n  - StaticText \\\"/ Monat\\\"\\n  - link \\\"Pro holen\\\" [ref=e29]\\n  - StaticText \\\"Alles aus Plus sowie:\\\"\\n  - list\\n  - paragraph\\n    - link \\\"Mehr erfahren\\\" [ref=e47]\\n- article\\n  - heading \\\"Unternehmen Codex\\\" [level=3, ref=e30]\\n  - link \\\"Jetzt loslegen\\\" [ref=e48]\\n- article\\n  - heading \\\"Unternehmen ChatGPT und Codex\\\" [level=3, ref=e31]\\n  - paragraph\\n  - StaticText \\\"/ Benutzer / Monat\\\"\\n  - link \\\"Loslegen\\\" [ref=e49]\\n  - StaticText \\\"Was enthalten ist:\\\"\\n  - list\\n  - generic\\n    - link \\\"Mehr erfahren\\\" [ref=e50]\\n- article\\n  - heading \\\"Enterprise\\\" [level=3, ref=e32]\\n    - StaticText \\\"Enterprise\\\"\\n  - paragraph\\n    - StaticText \\\"KI, Sicherheit und Support der Enterprise-Klasse für große Unternehmen\\\"\\n  - StaticText \\\"Individuelle Preisgestaltung\\\"\\n  - StaticText \\\"Wende dich an unser Vertriebsteam, um die Preise zu besprechen.\\\"\\n  - link \\\"Vertrieb kontaktieren\\\" [ref=e51]\\n    - StaticText \\\"Vertrieb kontaktieren\\\"\\n  - StaticText \\\"Was enthalten ist:\\\"\\n  - list\\n    - listitem [level=1]\\n      - paragraph\\n    - listitem [level=1]\\n      - paragraph\\n    - listitem [level=1]\\n      - paragraph\\n        - link \\\"Mehr erfahren\\\" [ref=e68]\\n- generic\\n  - heading \\\"Im Einsatz bei Teams von\\\" [level=4, ref=e33]\\n- generic\\n  - heading \\\"Funktionen der Pläne vergleichen\\\" [level=4, ref=e52]\\n- generic\\n  - generic\\n    - generic\\n      - paragraph\\n      - generic\\n        - link \\\"Free holen\\\" [ref=e75]\\n      - paragraph\\n      - generic\\n        - link \\\"Go holen\\\" [ref=e76]\\n      - paragraph\\n      - generic\\n        - link \\\"Plus holen\\\" [ref=e77]\\n      - paragraph\\n      - generic\\n        - link \\\"Pro holen\\\" [ref=e78]\\n      - paragraph\\n      - generic\\n        - link \\\"Business holen\\\" [ref=e79]\\n      - paragraph\\n      - generic\\n        - link \\\"Vertrieb kontaktieren\\\" [ref=e158]\\n    - generic\\n      - heading \\\"Essentials\\\" [level=3, ref=e69]\\n      - generic\\n        - heading \\\"Nachrichten und Interaktionen\\\" [level=6, ref=e80]\\n      - generic\\n        - heading \\\"Chatverlauf\\\" [level=6, ref=e81]\\n      - generic\\n        - heading \\\"Zugriff per Web, iOS, Android\\\" [level=6, ref=e82]\\n    - generic\\n      - heading \\\"Modelle\\\" [level=3, ref=e70]\\n      - generic\\n        - heading \\\"GPT-5.5 Instant\\\" [level=6, ref=e83]\\n      - generic\\n        - heading \\\"GPT-5.5 Thinking\\\" [level=6, ref=e84]\\n      - generic\\n        - heading \\\"GPT-5.5 Pro\\\" [level=6, ref=e85]\\n      - generic\\n        - heading \\\"GPT-5 Thinking Mini\\\" [level=6, ref=e86]\\n      - generic\\n        - heading \\\"Legacy-Modelle\\\" [level=6, ref=e87]\\n      - generic\\n        - heading \\\"Reaktionszeiten\\\" [level=6, ref=e88]\\n      - generic\\n        - heading \\\"GPT Instant – Gesamt-Kontextfenster\\\" [level=6, ref=e89]\\n      - generic\\n        - heading \\\"GPT Instant – maximale Eingabe***\\\" [level=6, ref=e90]\\n      - generic\\n        - heading \\\"GPT Reasoning – Gesamt-Kontextfenster\\\" [level=6, ref=e91]\\n      - generic\\n        - heading \\\"GPT Reasoning – maximale Eingabe***\\\" [level=6, ref=e92]\\n      - generic\\n        - heading \\\"Regelmäßige Updates zu Qualität und Tempo bei Modellverbesserungen\\\" [level=6, ref=e93]\\n    - generic\\n      - heading \\\"Funktionen\\\" [level=3, ref=e71]\\n      - generic\\n        - heading \\\"Sprachchat\\\" [level=6, ref=e94]\\n      - generic\\n        - heading \\\"Stimme und Video\\\" [level=6, ref=e95]\\n      - generic\\n        - heading \\\"Apps\\\" [level=6, ref=e96]\\n      - generic\\n        - heading \\\"Codex\\\" [level=6, ref=e97]\\n      - generic\\n        - heading \\\"Skills-Beta\\\" [level=6, ref=e98]\\n      - generic\\n        - heading \\\"Erinnerung\\\" [level=6, ref=e99]\\n      - generic\\n        - heading \\\"Erinnerung mit vergangenen Chats\\\" [level=6, ref=e100]\\n      - generic\\n        - heading \\\"Erinnerungsquellen\\\" [level=6, ref=e101]\\n      - generic\\n        - heading \\\"Suche\\\" [level=6, ref=e102]\\n      - generic\\n        - heading \\\"Canvas\\\" [level=6, ref=e103]\\n      - generic\\n        - heading \\\"Codeänderungen auf macOS\\\" [level=6, ref=e104]\\n      - generic\\n        - heading \\\"Projekte\\\" [level=6, ref=e105]\\n      - generic\\n        - heading \\\"Gemeinsame Projekte\\\" [level=6, ref=e106]\\n      - generic\\n        - heading \\\"Aufgaben\\\" [level=6, ref=e107]\\n      - generic\\n        - heading \\\"Datenanalyse\\\" [level=6, ref=e108]\\n      - generic\\n        - heading \\\"Vision\\\" [level=6, ref=e109]\\n      - generic\\n        - heading \\\"Apps, die mit internen Tools verbunden sind\\\" [level=6, ref=e110]\\n      - generic\\n        - heading \\\"Interaktive Apps\\\" [level=6, ref=e111]\\n      - generic\\n        - heading \\\"App-Verzeichnis\\\" [level=6, ref=e112]\\n      - generic\\n        - heading \\\"Erweiterungen für Excel und Google Sheets\\\" [level=6, ref=e113]\\n      - generic\\n        - heading \\\"Unternehmenswissen\\\" [level=6, ref=e114]\\n      - generic\\n        - heading \\\"Entwicklermodus (Beta)\\\" [level=6, ref=e115]\\n      - generic\\n        - heading \\\"ChatGPT-Aufnahmemodus\\\" [level=6, ref=e116]\\n      - generic\\n        - heading \\\"Datei-Uploads\\\" [level=6, ref=e117]\\n      - generic\\n        - heading \\\"GPTs entdecken und verwenden\\\" [level=6, ref=e118]\\n      - generic\\n        - heading \\\"GPTs erstellen und teilen\\\" [level=6, ref=e119]\\n      - generic\\n        - heading \\\"GPTs mit deinem Workspace teilen\\\" [level=6, ref=e120]\\n      - generic\\n        - heading \\\"Möglichkeit zum Testen neuer Funktionen\\\" [level=6, ref=e121]\\n      - generic\\n        - heading \\\"Bildgenerierung\\\" [level=6, ref=e122]\\n      - generic\\n        - heading \\\"Bildgenerierung mit Thinking\\\" [level=6, ref=e123]\\n      - generic\\n        - heading \\\"Interaktive Tabellen und Diagramme\\\" [level=6, ref=e124]\\n      - generic\\n        - heading \\\"Deep Research\\\" [level=6, ref=e125]\\n      - generic\\n        - heading \\\"Apps für Deep Research\\\" [level=6, ref=e126]\\n      - generic\\n        - heading \\\"Lernmodus\\\" [level=6, ref=e127]\\n      - generic\\n        - heading \\\"ChatGPT Pulse\\\" [level=6, ref=e128]\\n    - generic\\n      - heading \\\"Datenschutz\\\" [level=3, ref=e72]\\n      - generic\\n        - heading \\\"Inhalte werden zum Training unserer Modelle verwendet\\\" [level=6, ref=e129]\\n    - generic\\n      - heading \\\"Sicherheit und Verwaltung\\\" [level=3, ref=e73]\\n      - generic\\n        - heading \\\"SAML SSO\\\" [level=6, ref=e130]\\n      - generic\\n        - heading \\\"Einheitliche Abrechnung\\\" [level=6, ref=e131]\\n      - generic\\n        - heading \\\"Dedizierter Workspace\\\" [level=6, ref=e132]\\n      - generic\\n        - heading \\\"GPT-Analytics und -Verwaltung\\\" [level=6, ref=e133]\\n      - generic\\n\\n[... 97 more lines truncated, use browser_snapshot for full content]\", \"element_count\": 158}", "tool_call_id": "call_Gr6r3th6eWECzVxExoz8vPwv", "timestamp": "2026-05-23T13:50:28.266913"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_QpaT5pE4tIe9w7TlE3mkeGfK", "call_id": "call_QpaT5pE4tIe9w7TlE3mkeGfK", "response_item_id": "fc_0d1a4d10654d56b4016a11936b02c881918cd3492ffee9ff80", "type": "function", "function": {"name": "browser_console", "arguments": "{\"expression\":\"document.body.innerText\"}"}}], "timestamp": "2026-05-23T13:50:28.266913"}
{"role": "tool", "name": "browser_console", "content": "{\"success\": true, \"result\": \"Über OpenAI\\nFunktionen\\nLernen\\nCodex\\nBusiness\\nPreisgestaltung\\nHerunterladen\\nAnmelden\\nKostenlos registrieren\\nChatGPT\\nPreisgestaltung\\nSieh dir die Preisgestaltung für unsere Individual-, Business- und Enterprise-Pläne an.\\nFree\\n\\nIntelligenz für alltägliche Aufgaben\\n\\nCHF 0\\n/ Monat\\nFree holen\\n\\nBegrenzter Zugriff auf GPT-5.5 Instant\\n\\nEingeschränkte Nachrichten und Uploads\\n\\nEingeschränkte und langsamere Bildgenerierung\\n\\nEingeschränkte Deep Research\\n\\nEingeschränkte Erinnerung und Kontext\\n\\nEingeschränkter Zugriff auf Codex\\n\\nHast du bereits einen Plan? Abrechnungshilfe⁠ ansehen\\n\\nGo\\n\\nChatte weiter mit erweitertem Zugriff\\n\\nCHF 7\\n/ Monat\\nGo holen\\nAlles aus Free sowie:\\n\\nMehr Zugriff auf GPT-5.5 Instant\\n\\nMehr Nachrichten\\n\\nMehr Uploads\\n\\nMehr Bilderstellung\\n\\nLängere Erinnerung\\n\\nDieser Plan kann Werbung enthalten. Mehr erfahren⁠\\n\\nPlus\\n\\nMach mehr mit fortschrittlicher Intelligenz\\n\\nCHF 20\\n/ Monat\\nPlus holen\\nAlles aus Go und:\\n\\nFortgeschrittenes Reasoning mit GPT-5.5 Thinking\\n\\nErweiterte Nachrichten und Uploads\\n\\nKomplexere und präzisere Bilderstellung\\n\\nErweiterte Deep Research und Agentenmodus\\n\\nErweiterte Erinnerung und Kontext\\n\\nProjekte, Aufgaben und individuelle GPTs\\n\\nErweiterte Codex-Nutzung\\n\\nFrühzeitiger Zugriff auf neue Funktionen\\n\\nEs gelten Nutzungsobergrenzen⁠\\n\\nDas Doppelte deiner normalen Codex-Nutzung auf der Tarifstufe CHF 83 / Monat bis zum 31. Mai 2026.\\nPro\\n\\nMaximiere deine Produktivität\\n\\nAb\\nCHF 83\\n/ Monat\\nPro holen\\nAlles aus Plus sowie:\\n\\n5x oder 20x mehr Nutzung\\n\\n5x, 10x oder 20x mehr Codex-Nutzung\\n\\nPro-Reasoning mit GPT-5.5 Pro\\n\\nMaximale Codex-Aufgaben\\n\\nUnbegrenztes GPT-5.3 und Datei-Uploads\\n\\nUnbegrenzte und schnellere Bilderstellung\\n\\nMaximale Deep Research und Agentenmodus\\n\\nMaximale Erinnerung und maximaler Kontext\\n\\nErweiterte Projekte, Aufgaben und individuelle GPTs\\n\\nNeue Funktionen als experimentelle Vorschau\\n\\nUnbegrenzt, mit Schutz vor Missbrauch. Mehr erfahren⁠\\n\\nUnternehmen\\nCodex\\n\\nEin Plan für entwicklungsorientierte Teams mit Pay-as-you-go-Preismodell\\n\\nNutzungsabhängige Preisgestaltung\\nKeine feste Benutzerlizenzgebühr. Nutzungsbasiertes Pay-as-you-go-Modell.\\nJetzt loslegen\\nWas enthalten ist:\\n\\nKI-gestützte Softwareentwicklung\\n\\nAutomatisierte Code- und Sicherheitsüberprüfungen\\n\\nAufgaben auf deinem Computer automatisieren\\n\\nAktionen an deinen Dokumenten, Tools und Codebasen vornehmen\\n\\nIntegrierte Worktrees und Cloud-Umgebungen für Multi-Agenten-Workflows\\n\\nKeine feste Benutzerlizenzgebühr; nutzungsbasiertes Pay-as-you-go-Modell\\n\\nEin sicherer, dedizierter Workspace mit wichtigen Admin-Kontrollen, SAML SSO und MFA\\n\\nKein Training mit deinen Daten; SAML-Sicherheit\\n\\nUnterstützung bei der Einhaltung der DSGVO, des CCPA und weiterer Datenschutzgesetze. Im Einklang mit CSA STAR⁠ und SOC 2 Type 2\\n\\nUnternehmen\\nChatGPT und Codex\\n\\nEin sicherer, kollaborativer Workspace für Startups und wachsende Unternehmen\\n\\nCHF 15\\n/ Benutzer / Monat\\nLoslegen\\nWas enthalten ist:\\n\\nAlles aus den Codex-Plänen von ChatGPT Plus und -Business\\n\\nUnbegrenzter Standard-Chat und Zugriff auf die besten Modelle für die Arbeit\\n\\nÜber 60 Apps, die deine Tools und Daten in ChatGPT einbinden – wie Slack, Google Drive, SharePoint, GitHub, Atlassian und mehr\\n\\nBusiness-Funktionen wie Apps, Datenanalyse, Aufzeichnungsmodus, Canvas, gemeinsame Projekte und individuelle Workspace-GPTs\\n\\nEinfache Verwaltung von Mitgliedern, Rollen und Abrechnung\\n\\nEin sicherer, dedizierter Workspace mit wichtigen Admin-Kontrollen, SAML SSO und MFA\\n\\nKein Training mit deinen Daten; SAML-Sicherheit\\n\\nUnterstützung bei der Einhaltung der DSGVO, des CCPA und weiterer Datenschutzgesetze. Im Einklang mit CSA STAR⁠ und SOC 2 Type 2\\n\\n*2+ Nutzer:innen, jährlich abgerechnet. CHF 19 pro Nutzer:in und Monat bei monatlicher Abrechnung. Unbegrenzt, mit Schutz vor Missbrauch. Mehr erfahren⁠\\n\\nEnterprise\\n\\nKI, Sicherheit und Support der Enterprise-Klasse für große Unternehmen\\n\\nIndividuelle Preisgestaltung\\nWende dich an unser Vertriebsteam, um die Preise zu besprechen.\\nVertrieb kontaktieren\\nWas enthalten ist:\\n\\nErweitertes Kontextfenster, das längere Eingaben und größere Dateien unterstützt\\n\\nSicherheit und Steuerung auf Enterprise-Niveau, einschließlich SCIM, EKM, Nutzeranalysen, Domain-Verifizierung und rollenbasierten Zugriffskontrollen\\n\\nErweiterter Datenschutz mit individuellen Richtlinien zur Datenaufbewahrung, Verschlüsselung im Ruhezustand und bei der Übertragung sowie standardmäßig ohne Training an deinen Geschäftsdaten. Mehr erfahren⁠\\n\\nUnterstützt Datenresidenz in zehn Regionen\\n\\nPriorisierter Support rund um die Uhr, SLAs, individuelle rechtliche Bedingungen und Zugang zu KI-Beratern (für berechtigte Kunden)\\n\\nRechnungsstellung und Abrechnung, Volumenrabatte\\n\\n \\nIm Einsatz bei Teams von\\n \\nFunktionen der Pläne vergleichen\\n\\nFree\\n\\nFree holen\\n\\nGo\\n\\nGo holen\\n\\nPlus\\n\\nPlus holen\\n\\nPro\\n\\nPro holen\\n\\nBusiness\\n\\nBusiness holen\\n\\nEnterprise\\n\\nVertrieb kontaktieren\\nEssentials\\nNachrichten und Interaktionen\\nEingeschränkt\\nErweitert\\nUnbegrenzt*\\nUnbegrenzt*\\nUnbegrenzt*\\nUnbegrenzt*\\nChatverlauf\\nUnbegrenzt*\\nUnbegrenzt*\\nUnbegrenzt*\\nUnbegrenzt*\\nUnbegrenzt*\\nUnbegrenzt*\\nZugriff per Web, iOS, Android\\nModelle\\nGPT-5.5 Instant\\nErweitert\\nUnbegrenzt*\\nUnbegrenzt*\\nUnbegrenzt*\\nGPT-5.5 Thinking\\nErweitert\\nUnbegrenzt*\\nFlexibel**\\nFlexibel**\\nGPT-5.5 Pro\\nFlexibel**\\nFlexibel**\\nGPT-5 Thinking Mini\\nErweitert\\nUnbegrenzt*\\nFlexibel**\\nFlexibel**\\nLegacy-Modelle\\nFlexibel**\\nFlexibel**\\nReaktionszeiten\\nEingeschränkte Bandbreite
und Verfügbarkeit\\nEingeschränkte Bandbreite und Verfügbarkeit\\nSchnell\\nSchnell\\nSchnell\\nAm schnellsten\\nGPT Instant – Gesamt-Kontextfenster\\n27.000\\n54.000\\n54.000\\n128.000\\n54.000\\n128.000\\nGPT Instant – maximale Eingabe***\\n~12 Seiten Text\\n~40 Seiten Text\\n~40 Seiten Text\\n~250 Seiten Text\\n~40 Seiten Text\\n~250 Seiten Text\\nGPT Reasoning – Gesamt-Kontextfenster\\nUnterschiedlich\\n256.000\\n256.000\\n400.000\\n256.000\\n256.000\\nGPT Reasoning – maximale Eingabe***\\nUnterschiedlich\\n~320 Seiten Text\\n~320 Seiten Text\\n~680 Seiten Text\\n~320 Seiten Text\\n~320 Seiten Text\\nRegelmäßige Updates zu Qualität und Tempo bei Modellverbesserungen\\nFunktionen\\nSprachchat\\nEingeschränkt\\nErweitert\\nErweitert\\nUnbegrenzt*\\nErweitert\\nFlexibel**\\nStimme und Video\\nApps\\nCodex\\nEingeschränkt\\nEingeschränkt\\nErweitert\\nFlexibel**\\nSkills-Beta\\nErweitert\\nFlexibel**\\nErinnerung\\nEingeschränkt\\nErweitert\\nErweitert\\nErweitert\\nErweitert\\nErinnerung mit vergangenen Chats\\nEingeschränkt\\nErweitert\\nErweitert\\nDemnächst\\nDemnächst\\nErinnerungsquellen\\nEingeschränkt\\nErweitert\\nErweitert\\nDemnächst\\nDemnächst\\nSuche\\nCanvas\\nCodeänderungen auf macOS\\nProjekte\\nGemeinsame Projekte\\nAufgaben\\nDatenanalyse\\nEingeschränkt\\nVision\\nEingeschränkt\\nApps, die mit internen Tools verbunden sind\\nInteraktive Apps\\nApp-Verzeichnis\\nErweiterungen für Excel und Google Sheets\\nEingeschränkt\\nEingeschränkt\\nErweitert\\nUnternehmenswissen\\nEntwicklermodus (Beta)\\nChatGPT-Aufnahmemodus\\nDatei-Uploads\\nEingeschränkt\\nGPTs entdecken und verwenden\\nGPTs erstellen und teilen\\nGPTs mit deinem Workspace teilen\\nMöglichkeit zum Testen neuer Funktionen\\nBildgenerierung\\nEingeschränkt\\nBildgenerierung mit Thinking\\nInteraktive Tabellen und Diagramme\\nDeep Research\\nEingeschränkt\\nEingeschränkt\\nFlexibel**\\nApps für Deep Research\\nEingeschränkt\\nEingeschränkt\\nLernmodus\\nChatGPT Pulse\\nDatenschutz\\nInhalte werden zum Training unserer Modelle verwendet\\nAbmeldung möglich\\nMehr erfahren\\nAbmeldung möglich\\nMehr erfahren\\nAbmeldung möglich\\nMehr erfahren\\nAbmeldung möglich\\nMehr erfahren\\nNein.\\nUnser Datenschutz-Versprechen lesen\\nNein.\\nUnser Datenschutz-Versprechen lesen\\nSicherheit und Verwaltung\\nSAML SSO\\nEinheitliche Abrechnung\\nDedizierter Workspace\\nGPT-Analytics und -Verwaltung\\nAdmin-Konsole\\nMassenverwaltung von Mitgliedern\\nAdmin-Rollen\\nSOC-2-Typ-2-Konformität\\nGrundlegende Benutzeranalysen\\nDomainverifizierung\\nGlobale Admin-Konsole\\nISO 27001-, 27017-, 27018- und 27701-zertifiziert\\nSCIM\\nEnterprise Key Management\\nGranulare GPT-Kontrollen & Gruppenberechtigungen\\nRollenbasierte Zugriffskontrollen\\nAnalytics-Dashboard\\nPlattform für Compliance-API-Protokolle\\nIP-Allowlisting\\nDatenresidenz in: US, EU, UK, JP, CA, KR, SG, IN, AU, UAE\\nIntune für iOS\\nWorkspace mit Branding\\nGlobale Admin-Konsole\\nKonnektor-Verzeichnis\\nKundendienst\\nErweiterter Support\\nDediziertes Onboarding\\nKontinuierliche Kundenbetreuung\\nIndividuelle Sicherheitsüberprüfung\\n\\n*Die Nutzung muss angemessen sein und unseren Richtlinien⁠ entsprechen\\n\\n**Enterprise- und Business-Pläne können Credits für mehr Zugriff erwerben\\n\\n***ChatGPT verwaltet ein gemeinsames Kontextfenster, um deine Anfrage zu verstehen, das Gespräch zu verfolgen, relevante Informationen abzurufen und Antworten zu generieren. Der für Benutzereingaben verfügbare Teil ist kleiner als das gesamte Fenster, da der Platz auch für Systemanweisungen (einschließlich Tools und Persönlichkeit), Erinnerungen (falls aktiviert) und interne Verarbeitung (Überprüfung von Informationen, Reasoning und Antwortgenerierung) genutzt wird. Der angegebene Speicherplatz für Benutzereingaben ist ein Richtwert und kann sich je nach den verwendeten Funktionen und dem Speicherinhalt dynamisch ändern.\\n\\n \\nFAQ\\nWie funktioniert die Preisgestaltung von ChatGPT?\\n\\nDie kostenlose Version von ChatGPT (Free) ist für alle verfügbar. Kostenpflichtige Pläne (Go, Plus, Business und Enterprise) werden pro Benutzer:in und Monat berechnet. Es gibt Monatspläne für Go, Plus und Business sowie Jahrespläne für Business und Enterprise.\\n\\nIst ChatGPT kostenlos?\\n\\nDie kostenlose Version von ChatGPT ist für alle verfügbar. Ein Upgrade auf Go, Plus, Business oder Enterprise bietet ein leistungsstärkeres Nutzungserlebnis durch zusätzliche Funktionen und Zugriff auf GPT-5.5.\\n\\nBietet OpenAI einen ChatGPT-Plan für Bildungseinrichtungen an?\\n\\nJa. Wir bieten ChatGPT für Lehrkräfte⁠ an, einen kostenlosen Plan für verifizierte K-12-Lehrkräfte in den USA bis Juni 2027, und ChatGPT Edu⁠, einen kostengünstigen Plan, der es Universitäten ermöglicht, KI in ihren Campus-Gemeinschaften bereitzustellen. Beide Pläne umfassen verbesserte Sicherheits- und Datenschutzkontrollen sowie zusätzliche Verwaltungsfunktionen für Schulen, Schulbezirke und Universitäten. Wende dich an unser Team,⁠ um mehr zu erfahren.\\n\\nBietet OpenAI Rabatte für gemeinnützige Organisationen an?\\n\\nJa. Über OpenAI for Nonprofits können gemeinnützige Organisationen jetzt einen Rabatt von bis zu 75 % auf ChatGPT Business oder ChatGPT Enterprise erhalten. Wende dich an unser Vertriebsteam⁠, um loszulegen.\\n\\nWie viele Benutzer:innen werden auf jedem Abonnementplan unterstützt?\\n\\nDie Pläne Go, Free und Plus sind für die Nutzung durch Einzelpersonen konzipiert. Business und Enterprise sind für Unternehmen gedacht. Business-Pläne sind ab zwei Benutzer:innen erhältlich. Bitte wende dich an den Vertrieb⁠, um mehr über unseren Enterprise-Plan zu erfahren.\\n\\nWelche Zahlungsoptionen habe ich?\\n\\nChatGPT Go, Plus, Pro oder Business kannst du mit jeder gängigen Kreditkarte kaufen. Für ChatGPT Enterprise wende dich bitte an den Vertrieb⁠, um alternative Zahlungsmöglichkeiten wie Rechnungsstellung zu erhalten.\\n\\nWie sicher ist ChatGPT?\\n\\nAlle Daten werden während der Übertragung verschlüsselt (TLS 1.2). Daten im Ruhezustand werden verschlüsselt (AES-256) und der Zugriff auf die Daten wird mithilfe strenger Zugriffskontrollen eingeschränkt. Unser Sicherheitsteam umfasst einen Bereitschaftsdienst, der rund um die Uhr an 365 Tagen im Jahr verfügbar ist und im Falle eines potenziellen Sicherheitsvorfalls benachrichtigt wird. Wir bieten ein Bug-Bounty-Programm⁠ für die verantwortungsvolle Offenlegung von Schwachstellen, die auf unserer Plattform und in unseren Produkten entdeckt wurden. Bitte besuche unser Trust Portal⁠ für weitere Informationen.\\n\\nWie verwendet ChatGPT meine Daten?\\n\\nWir geben dir die Kontrolle über deine Daten. Erfahre mehr darüber, wie deine Daten genutzt werden⁠, und über unseren Enterprise-Datenschutz⁠.\\n\\nOpenAI\\nForschung\\nSicherheit\\nAPI\\nNeuigkeiten\\nGeschäftsbedingungen und Richtlinien\\nNutzungsbedingungen\\nDatenschutzrichtlinie\\nNutzungsrichtlinie\\nWeitere Richtlinien\\nOpenAI © 2015–2026\\nCookies verwalten\\nDeutsch\\nWir verwenden Cookies\\n\\nCookies sorgen dafür, dass diese Website funktioniert, messen die Nutzung und unterstützen Marketingmaßnahmen. Verwalte deine Cookie-Einstellungen jederzeit. Weitere Informationen findest du in unserer Cookie-Richtlinie.\\n\\nNicht unbedingt erforderliche ablehnen\\nAlle akzeptieren\", \"result_type\": \"str\"}", "tool_call_id": "call_QpaT5pE4tIe9w7TlE3mkeGfK", "timestamp": "2026-05-23T13:50:28.266913"}
{"role": "assistant", "content": "", "reasoning": "**Searching for pricing details**\n\nI’m trying to find specific pricing information for Sora, especially regarding video generation. It seems that the current pricing details don’t cover video generation explicitly, just mentioning voice and video in the context of chat. I think my best bet is to check directly on their website, sora.com. I’ll use my browser for that. Let’s see what I can find!", "finish_reason": "tool_calls", "reasoning_content": "**Searching for pricing details**\n\nI’m trying to find specific pricing information for Sora, especially regarding video generation. It seems that the current pricing details don’t cover video generation explicitly, just mentioning voice and video in the context of chat. I think my best bet is to check directly on their website, sora.com. I’ll use my browser for that. Let’s see what I can find!", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqEZNwYqnuMlJVR3anuST6dal9U5qt9DYxp29rEHcoyBzROVOUd71-C7LQ9YARVYeGpcrE_H5GY5HV4KZbzCUeL8YlGDlngSs97dApV9_96b-Uo1CGBtMtzEMW3ZYRt6iHpSg9L9AKTfRMM2LTcG9oaQM7bcEoQoVsZk-6f49XrHBykZ3CR19SfR2G2mmyJgOMRgfqXGsiuDkXobh_Wp6x7Fc3XaaEY2JgooGzjPLfc8erI5W2rxQKORbTDjOQ6Icgo24vz3zyFk4mvWAccAUtx0qV5u__QYl4MOHtN0eYvGVH3xkxnIXHVR5fY8WrwjNGnvSbotXp7pcja72s-s7jmqZRJhZ5-X5XQb7sQ4jgkqcBg9t5ZqIPSgGbadvpQQgKD9Bd_SxY-h3wX48ObJNTGvR3mHScPPktQJ6Zi1RDA4c8EXUCbKwXkR1A7nIk1F9ugVfYQD-PYfi2E5lmyzGnjuq0a_UoMWLpIc-722BOPhLJjPtrYfk910YSom0ub2Bk_p8uPlNaAv13opfzmMra3ceOFVrkk7PHkTD4DXPUZuGQQT-vC3I_sIOk3n55_0-7rOnxE6nmqzlA0bFuOWn7RTmo7Z8F7edTxdq4Sx1_JkY4tSlvuJ589PFmoHmaMQZS4Au6-MQDjsmO3UqLR92siysjae0rzRG1uVp2pTyGMUwc-RkIWhAg-2-E0c0N8W-bKgfC8KyIS4KR9qk0U0VRj3JWkfjC929ocgnECx-USmmGmy-dS1WNYzzKzBBaU8HeelqXINrMQXzS3sgZCGJUtVpCB2olDTB97fFC8gG_2Ft7ZCvsDfMSO_qMufgGICElMUk9puvZfdsAebGjhWGqKtMo-h_guEEZdFWiszmTd1TvQoLw2e0zzW4m8Fq1862Dm9s3B4SU4d9krBco29yeTBxjBOByRaccpmNoJNSUWqokNqWvOpyauEMZDcr7zo_kcaL9YtkYiA7kGwwpZwhdjzHLjr9h9PdB4SjP5iArEnOXUek6vIWaSJmAA4ULEC0x997_nxrB6R5QkSXnwHF7sexfGDorWaR3zKzMsHg245RELevK0Qd87B_8PGkRmIRPm7rmGjig7dJxTSYwkF1FqrbJmA==", "id": "rs_0d1a4d10654d56b4016a11936e6ad0819197842057832665f8", "summary": [{"type": "summary_text", "text": "**Searching for pricing details**\n\nI’m trying to find specific pricing information for Sora, especially regarding video generation. It seems that the current pricing details don’t cover video generation explicitly, just mentioning voice and video in the context of chat. I think my best bet is to check directly on their website, sora.com. I’ll use my browser for that. Let’s see what I can find!"}]}], "tool_calls": [{"id": "call_thYaWwxMbMtYdieOD6kBcTx5", "call_id": "call_thYaWwxMbMtYdieOD6kBcTx5", "response_item_id": "fc_0d1a4d10654d56b4016a11937091a08191a8a6a95e50c13c41", "type": "function", "function": {"name": "browser_navigate", "arguments": "{\"url\":\"https://openai.com/sora/\"}"}}], "timestamp": "2026-05-23T13:50:28.266913"}
{"role": "tool", "name": "browser_navigate", "content": "{\"success\": true, \"url\": \"https://help.openai.com/en/articles/20001152-what-to-know-about-the-sora-discontinuation\", \"title\": \"What to know about the Sora discontinuation | OpenAI Help Center\", \"snapshot\": \"- link \\\"OpenAI\\\" [ref=e1]\\n- generic\\n  - button \\\"Language\\\" [expanded=false, ref=e6]\\n- link \\\"Login\\\" [ref=e2]\\n- generic\\n  - textbox \\\"Search for articles...\\\" [ref=e7]\\n- navigation \\\"Breadcrumb\\\" [ref=e3]\\n  - list\\n    - listitem [level=1]\\n      - link \\\"All Collections\\\" [ref=e26]\\n- article\\n  - heading \\\"What to know about the Sora discontinuation\\\" [level=1, ref=e8]\\n  - StaticText \\\"Updated: vor 19 Stunden\\\"\\n  - generic\\n    - heading \\\"When will Sora be discontinued?\\\" [level=2, ref=e13]\\n    - paragraph\\n    - heading \\\"Will I be able to export my data after the Sora app is discontinued?\\\" [level=2, ref=e14]\\n    - paragraph\\n      - link \\\"below\\\" [ref=e27]\\n    - heading \\\"What happens to my data after the Sora app is discontinued?\\\" [level=2, ref=e15]\\n    - paragraph\\n    - heading \\\"How can I access and export content I created in Sora?\\\" [level=2, ref=e16]\\n    - paragraph\\n      - link \\\"sora.chatgpt.com/sunset\\\" [ref=e28]\\n    - heading \\\"What if I need a refund?\\\" [level=2, ref=e17]\\n    - paragraph\\n      - link \\\"How do I request a refund for my ChatGPT subscription?\\\" [ref=e29]\\n      - link \\\"ChatGPT/Sora credits\\\" [ref=e30]\\n- generic\\n  - heading \\\"Related articles\\\" [level=2, ref=e9]\\n  - list\\n    - listitem [level=1]\\n      - link \\\"Using Credits for Flexible Usage in ChatGPT (Free/Go/Plus/Pro) Key information and FAQs about using credits\\\" [ref=e31]\\n    - listitem [level=1]\\n      - link \\\"Retiring GPT-4o and other ChatGPT models GPT-4o and additional models were deprecated in ChatGPT on February 13, 2026. These models will continue to be available in the API.\\\" [ref=e32]\\n    - listitem [level=1]\\n      - link \\\"ChatGPT OpenAI o3 and o4‑mini models FAQ (Enterprise & Edu Version)\\\" [ref=e33]\\n- generic\\n  - heading \\\"Was this article helpful?\\\" [level=2, ref=e10]\\n  - generic\\n    - button \\\"Thumbs up\\\" [ref=e18]\\n    - button \\\"Thumbs down\\\" [ref=e19]\\n    - textbox \\\"Additional feedback (optional)\\\" [ref=e20]\\n    - button \\\"Submit\\\" [disabled, ref=e34]\\n- navigation \\\"Table of contents\\\" [ref=e4]\\n  - list\\n    - listitem [level=1]\\n      - link \\\"When will Sora be discontinued?\\\" [ref=e35]\\n    - listitem [level=1]\\n      - link \\\"Will I be able to export my data after the Sora app is discontinued?\\\" [ref=e36]\\n    - listitem [level=1]\\n      - link \\\"What happens to my data after the Sora app is discontinued?\\\" [ref=e37]\\n    - listitem [level=1]\\n      - link \\\"How can I access and export content I created in Sora?\\\" [ref=e38]\\n    - listitem [level=1]\\n      - link \\\"What if I need a refund?\\\" [ref=e39]\\n- contentinfo\\n  - image \\\"OpenAI logo\\\"\\n  - navigation\\n    - link \\\"ChatGPT\\\" [ref=e21]\\n    - link \\\"API\\\" [ref=e22]\\n    - link \\\"Service Status\\\" [ref=e23]\\n    - button \\\"Open cookie preferences dialog\\\" [ref=e24]\\n- button \\\"Open chat\\\" [ref=e5]\\n- generic\\n  - paragraph\\n  - paragraph\\n    - link \\\"Cookie Policy\\\" [ref=e25]\\n  - button \\\"Reject all cookies\\\" [ref=e11]\\n  - button \\\"Accept all cookies\\\" [ref=e12]\", \"element_count\": 39}", "tool_call_id": "call_thYaWwxMbMtYdieOD6kBcTx5", "timestamp": "2026-05-23T13:50:28.266913"}
{"role": "assistant", "content": "", "reasoning": "**Considering discontinued product features**\n\nI’ve noted that Sora has been discontinued in 2026, and I need to mention that fact. Utilizing an article about it would be helpful, but there’s an issue since a browser snapshot hides some paragraphs from view. I think I can work around this by using the console's innerText to extract the information I need. It feels like a small challenge, but I’m sure I can get the full details this way!", "finish_reason": "tool_calls", "reasoning_content": "**Considering discontinued product features**\n\nI’ve noted that Sora has been discontinued in 2026, and I need to mention that fact. Utilizing an article about it would be helpful, but there’s an issue since a browser snapshot hides some paragraphs from view. I think I can work around this by using the console's innerText to extract the information I need. It feels like a small challenge, but I’m sure I can get the full details this way!", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqEZN9DUT1E-u4C9Qf3X5g0hNwnezVvvCKbvh1nhiGF3-70OAC0BLrRYhac5_i5_fTWqBd9Vo3tppbk7KGbFlZqOCaQ0B3ouuHGLLOnmM8rfP_FNG6KtWObMs7GulIP46pkJUki6Cnr-YihlRO3b7uz03MflT60IB2MlQvIT9io4_R-zpPMfL2X7p73hkSvhRdS2uBfZ2PlazDarllxBt2e0108MmExwoJAGaixgP5jy42xnsfVUlwg4R6m4rvgLZAvgcmj5_BIJei-23Q9dh7z-2cMKC5UGjw35RgGSwVxCadmgw6d_X33uP1Zk4zO39xUNiOAqjX8gd4IGhlPKl9W2rmPkq8LDj4AMnXAcngstOr8tnZjKOnS2S99emCqqjswIY00jgOpRWuN-F1FbIia6WWhvVdsfINVSNlF9Ht7YmOMuvQoPIPDvU1-Jv3ixTUbY_csGs0ve7unggMaWg7YakYYzsCYQzWhM03Vgk0ZHL2slnksOwutlbTo0ZxIRJu21LQ_WclBKYygaau4flpO2bGzNHMBc7h8s1AXhkKSka_-262huUbi8fmJyVEmIpIO9y6nZ-uVulX1kY7bnAjmBDmXzGX5GBAhnpwYzNPSVedRS661-PsWSPOBimqHnhaO2Ihe-zE0gwdmuch0q7JCqgq_ry2NUwDOsZX_oHMsA1LUEWPTji7oomiXynCdiDX0qSVF9GULQ7CiYKJVHvUOro8xJ4u3dVeA16gs1HjgmScfvMukvVYA1uBiA6_mGeXfite2gFGlF9YZEoERH35RN7hGYwV0BXdIFH7Mb62007eMFyGueWUH45EXAFbugLoTpHj8iTaTOHpwlQ_mvTpeInoqQAd7uw4n7GRgK6DOsNogSwuBQF64bF15cFgVo97Sj-qxcPJe6aQkc3XoFk96QhWiPoxnmdwWn2TkCy7-m09ZHeC6IhtNhJ8w3Dr_LbiL62ID1N9WLsaYc2-xDzZGsGE49l-nG1JgoBf_76lS0vcNf24f91kIuzu83dXwbtqdKS8Ef1BXpDs1Soo5X-0YaH-aFx0Rmy5Kn9e00tp-cTSDRu0TOQK0ggBdPjvpyWzTqFJFtCFC0S3ZBCluW2vqOScxg==", "id": "rs_0d1a4d10654d56b4016a1193794be48191aa854c4d4b7fe660", "summary": [{"type": "summary_text", "text": "**Considering discontinued product features**\n\nI’ve noted that Sora has been discontinued in 2026, and I need to mention that fact. Utilizing an article about it would be helpful, but there’s an issue since a browser snapshot hides some paragraphs from view. I think I can work around this by using the console's innerText to extract the information I need. It feels like a small challenge, but I’m sure I can get the full details this way!"}]}], "tool_calls": [{"id": "call_BJeuNWeGWyCYf6l3RHlm55ou", "call_id": "call_BJeuNWeGWyCYf6l3RHlm55ou", "response_item_id": "fc_0d1a4d10654d56b4016a11937d7aec8191b4200521b42d4bad", "type": "function", "function": {"name": "browser_console", "arguments": "{\"expression\":\"document.body.innerText\"}"}}], "timestamp": "2026-05-23T13:50:28.266913"}
{"role": "tool", "name": "browser_console", "content": "{\"success\": true, \"result\": \"Language\\nEnglish\\nLogin\\nAll Collections\\nWhat to know about the Sora discontinuation\\nWhat to know about the Sora discontinuation\\nUpdated: vor 19 Stunden\\nWhen will Sora be discontinued?\\n\\nThe Sora web and app experiences were discontinued on April 26, 2026.\\n\\nThe Sora API will be discontinued on September 24, 2026.\\n\\nWill I be able to export my data after the Sora app is discontinued?\\n\\nYes, you can export your data following the steps below. If a final export window is offered, we’ll notify you by email before it begins. We recommend you export your Sora content as soon as possible.\\n\\nWhat happens to my data after the Sora app is discontinued?\\n\\nAfter Sora is discontinued, and after the period of time of any final export window passes (if we are able to offer one), we will permanently delete any data associated with your use of Sora.\\n\\nHow can I access and export content I created in Sora?\\n\\nYou can export content you created in Sora by going to sora.chatgpt.com/sunset and clicking on Export. You'll get an email when it's ready.\\n\\nWhat if I need a refund?\\n\\nFor refund questions, please see How do I request a refund for my ChatGPT subscription? Note that any purchased ChatGPT/Sora credits can still be used for Codex, if you so choose.\\n\\nRelated articles\\nUsing Credits for Flexible Usage in ChatGPT (Free/Go/Plus/Pro)\\nKey information and FAQs about using credits\\nRetiring GPT-4o and other ChatGPT models\\nGPT-4o and additional models were deprecated in ChatGPT on February 13, 2026. These models will continue to be available in the API.\\nChatGPT OpenAI o3 and o4‑mini models FAQ (Enterprise & Edu Version)\\nWas this article helpful?\\nSubmit\\nWhen will Sora be discontinued?\\nWill I be able to export my data after the Sora app is discontinued?\\nWhat happens to my data after the Sora app is discontinued?\\nHow can I access and export content I created in Sora?\\nWhat if I need a refund?\\nChatGPT\\nAPI\\nService Status\\nCookie Preferences\\n\\nWe use cookies and similar technologies to deliver, maintain, improve our services and for security purposes.\\n\\nCheck our Cookie Policy for details. Click 'Accept all' to let OpenAI and partners use cookies for these purposes. Click 'Reject all' to say no to cookies, except those that are strictly necessary. You can change your cookie settings at any time by clicking the cookie preferences link at the bottom of the page.\\n\\nReject All\\nAccept All\", \"result_type\": \"str\"}", "tool_call_id": "call_BJeuNWeGWyCYf6l3RHlm55ou", "timestamp": "2026-05-23T13:50:28.266913"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqEZOC9lPgK-POvffQx6Y4Ctz0rmqrFgEDF1aDBPnoWZ_BQw1T-hyxu4cb-oapeYi700Pl_BsUUVP2YoIWovjqgTxmJjLk0pQJs-bwFxp7yD64NoDxa2gFjxD93l8A0riuBB4NrV5OMb2iCtDwyfcEViPXjuK7djeZT_EGbIW9ciZ8bk6sQMsh2_M33kgl3PfLKLjDdPN4clC9Vb03y5HCwaEGmjnQu4E9B8wVSFL-gVr-629nOdP6Etf4P8fU5Z1fS1gtlBJqsw8_3l5R_Zlecl4KgKF_96UfKGxVJwSnYXb4xCGKQYDQDTMxFBU7nxGfzca61uaYm8EYugVePMk6AyEunEPpx6zJ6L_fC1JBhrhhQ_bR5madlKmNdVeMjiu4Z14Rf36jkA9RUEi5K8Ot6vLMeFrw5C5co35A4g9hg2mmo8UOJZfRKV8ZhbmL6_-PDQKzr0bvPxRVFMcnQdWPxwFDR-e6Tp4fjiwBfdVTdWKJMR_J6RZQphel-XaiardSk4hRy2tNQsngMEA96ANtsK1dAqPv0Ci-eZhq6pYNkxls6vgQC0SR1JAyk6e-HQeIEiHlPglBB6xNbkb71GSWpJu7iCCS4VZ25T9aCQ560gsK4B0qbYHpZYc0gDnaswBK7d5fA-418hnwhivikA75LuxScm4MMybjEKi2QZ4-8PfHs00uUWAd9OnFVP2bOjksekbCmEDUQ9Sm2msHzCWoC0zJx7DlfDRFM0zE_hT_DDVj5rsab7Cs-u0jrW_hKNjXty8jnST9QE-yLOSYP9NLiqhOmK7G1C117fIQuo_rqc9T-az7JNkgyrZiGxVHCKUCMcZ-o6yYoO5IILt9-sfFdpLvxJqtrCdDVdYBeS6swRqGFi8OoVYBvGdM4przVHOlEdxBg4H1nBhejrz813GpzlIBDEG70W2EzBCo7UDlok7jZkcMHXbWUxqV8DY4BaONV68y6nBZgfHhntOVwNq_01lc6w==", "id": "rs_0d1a4d10654d56b4016a1193826d80819182872860889f45fb", "summary": []}], "tool_calls": [{"id": "call_B9f5OTenyE2olsRsjSxtoqlT", "call_id": "call_B9f5OTenyE2olsRsjSxtoqlT", "response_item_id": "fc_0d1a4d10654d56b4016a119382f0348191acfe9bc91eb2ae40", "type": "function", "function": {"name": "browser_click", "arguments": "{\"ref\":\"e31\"}"}}], "timestamp": "2026-05-23T13:50:28.266913"}
{"role": "tool", "name": "browser_click", "content": "{\"success\": true, \"clicked\": \"@e31\"}", "tool_call_id": "call_B9f5OTenyE2olsRsjSxtoqlT", "timestamp": "2026-05-23T13:50:28.266913"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_EXpJcn7QSSxVlocDtCYVRqmf", "call_id": "call_EXpJcn7QSSxVlocDtCYVRqmf", "response_item_id": "fc_0d1a4d10654d56b4016a11938689e88191b749b332db02bcfb", "type": "function", "function": {"name": "browser_console", "arguments": "{\"expression\":\"document.body.innerText\"}"}}], "timestamp": "2026-05-23T13:50:28.266913"}
{"role": "tool", "name": "browser_console", "content": "{\"success\": true, \"result\": \"Language\\nEnglish\\nLogin\\nAll Collections\\nWhat to know about the Sora discontinuation\\nWhat to know about the Sora discontinuation\\nUpdated: vor 19 Stunden\\nWhen will Sora be discontinued?\\n\\nThe Sora web and app experiences were discontinued on April 26, 2026.\\n\\nThe Sora API will be discontinued on September 24, 2026.\\n\\nWill I be able to export my data after the Sora app is discontinued?\\n\\nYes, you can export your data following the steps below. If a final export window is offered, we’ll notify you by email before it begins. We recommend you export your Sora content as soon as possible.\\n\\nWhat happens to my data after the Sora app is discontinued?\\n\\nAfter Sora is discontinued, and after the period of time of any final export window passes (if we are able to offer one), we will permanently delete any data associated with your use of Sora.\\n\\nHow can I access and export content I created in Sora?\\n\\nYou can export content you created in Sora by going to sora.chatgpt.com/sunset and clicking on Export. You'll get an email when it's ready.\\n\\nWhat if I need a refund?\\n\\nFor refund questions, please see How do I request a refund for my ChatGPT subscription? Note that any purchased ChatGPT/Sora credits can still be used for Codex, if you so choose.\\n\\nRelated articles\\nUsing Credits for Flexible Usage in ChatGPT (Free/Go/Plus/Pro)\\nKey information and FAQs about using credits\\nRetiring GPT-4o and other ChatGPT models\\nGPT-4o and additional models were deprecated in ChatGPT on February 13, 2026. These models will continue to be available in the API.\\nChatGPT OpenAI o3 and o4‑mini models FAQ (Enterprise & Edu Version)\\nWas this article helpful?\\nSubmit\\nWhen will Sora be discontinued?\\nWill I be able to export my data after the Sora app is discontinued?\\nWhat happens to my data after the Sora app is discontinued?\\nHow can I access and export content I created in Sora?\\nWhat if I need a refund?\\nChatGPT\\nAPI\\nService Status\\nCookie Preferences\\n\\nWe use cookies and similar technologies to deliver, maintain, improve our services and for security purposes.\\n\\nCheck our Cookie Policy for details. Click 'Accept all' to let OpenAI and partners use cookies for these purposes. Click 'Reject all' to say no to cookies, except those that are strictly necessary. You can change your cookie settings at any time by clicking the cookie preferences link at the bottom of the page.\\n\\nReject All\\nAccept All\", \"result_type\": \"str\"}\n\n[Tool loop warning: idempotent_no_progress_warning; count=2; browser_console returned the same result 2 times. Use the result already provided or change the query instead of repeating it unchanged.]", "tool_call_id": "call_EXpJcn7QSSxVlocDtCYVRqmf", "timestamp": "2026-05-23T13:50:28.266913"}
{"role": "assistant", "content": "", "reasoning": "**Investigating navigation issues**\n\nIt looks like the click didn't lead to navigation. I wonder if the link reference is stale or maybe something's off in the destination. Should I try a search instead? It's interesting how sometimes things just don’t work as expected. Let’s explore options to figure this out. I'll keep checking to find a way to get the navigation working smoothly!", "finish_reason": "tool_calls", "reasoning_content": "**Investigating navigation issues**\n\nIt looks like the click didn't lead to navigation. I wonder if the link reference is stale or maybe something's off in the destination. Should I try a search instead? It's interesting how sometimes things just don’t work as expected. Let’s explore options to figure this out. I'll keep checking to find a way to get the navigation working smoothly!", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqEZOV2u2hkjznqCySXa5ax5tNG3FfagL7ItVeuvOj0jzsPAkSksJ3G-NQmKmeEJn7V7tzozoiemIn_PwvSaKoVWy9fbiVvepg9vPrZYzkYwCxiqcnJUtaXUZSTi9w5-4QgkhgPPpPEC0rNqeMfOJHJr74VWbEPGhDaf2Uyf8H4OReGlxkT6a3jcirNx42zIQ6R0b1bE6e2UPsiJ_uyLZJcBxukkmq6Tb1Cad_hRmFrNaaS3dL8HM4LHnWsc1LqCk_bnWCnlrFyzRl9XrBDP-84slEyH-4yLx5K7A8cYt03cPh7Ad87O994rn_baBM0ZbEwveCtjh7hpR1PqfGljJwmHgTpvSc-dst4RKNgmxvEaVEMKYEqjE9t7xqYcVx89ZWTCRKBuJfjxtaqWE3LP6X6vhOhHXVlOWd-XbxGRtfSIjr4SBMCYbrYD7Qh69NnXtPP_5vn_hJucTMif3T6rkbJesn4e4fLmqWWK2OZISku8Jejt28oCJG-D42OE7d402ToDhPelDs8-Os3zv_wN4b1PrRamg80JKu3bZWEMNawFM9PnZ90mHbLKDo0-suXpboQq4xB4SPCDVqSGZ07Y-6bEn5iDLbpH2ONW5EVWIAyRVISJTooMro8cZZyQtiZUYI6twr9U3O6xn8dtB5_78cRI55Jn-Q12dchQetuYDjtyi41lDIoxf1Qrf0ocBdbvZUgSHu1iD_m3uspWc6RaJvUVDlifflRKP5STCzil_tg6tdwSSa8z2_MgKfZH6QnYwcAd4ADz6M17gauCDBIJWhJxNYmyC6qaTykMgqpeIr5lEaKXQ2rDUIoPK6lsWAJgil-wkFxPpBebMQKNBOpGwQ7B3qhD38q4JCafW86nSEFsVYlO4VMDyeUEsVXGxsRz5j6vdwa25YHy4cr_m1ICCbzd6GVFDZZFXFzWiznjhLTjqlIEOSzsVlyiLE14VccESqQ2yZkkRB2nYxzN1LPZxUqcqDCGLjkmkpHZxgYN1f9hX8lmE=", "id": "rs_0d1a4d10654d56b4016a11939310508191b9069ab57746934b", "summary": [{"type": "summary_text", "text": "**Investigating navigation issues**\n\nIt looks like the click didn't lead to navigation. I wonder if the link reference is stale or maybe something's off in the destination. Should I try a search instead? It's interesting how sometimes things just don’t work as expected. Let’s explore options to figure this out. I'll keep checking to find a way to get the navigation working smoothly!"}]}], "tool_calls": [{"id": "call_ZTKPRtrqwmKBPUL8ThCeJ2i5", "call_id": "call_ZTKPRtrqwmKBPUL8ThCeJ2i5", "response_item_id": "fc_0d1a4d10654d56b4016a11939515608191a4864621ddd545ec", "type": "function", "function": {"name": "browser_navigate", "arguments": "{\"url\":\"https://help.openai.com/en/?q=Using%20Credits%20for%20Flexible%20Usage%20in%20ChatGPT\"}"}}], "timestamp": "2026-05-23T13:50:28.266913"}
{"role": "tool", "name": "browser_navigate", "content": "{\"success\": true, \"url\": \"https://help.openai.com/en/?q=Using%20Credits%20for%20Flexible%20Usage%20in%20ChatGPT\", \"title\": \"OpenAI Help Center\", \"snapshot\": \"- link \\\"OpenAI\\\" [ref=e1]\\n- generic\\n  - button \\\"Language\\\" [expanded=false, ref=e5]\\n- link \\\"Login\\\" [ref=e2]\\n- generic\\n  - button \\\"Clear search\\\" [ref=e6]\\n  - textbox \\\"Search for articles...\\\" [ref=e7]: Using Credits for Flexible Usage in ChatGPT\\n- heading \\\"Search results for: Using Credits for Flexible Usage in ChatGPT\\\" [level=2, ref=e3]\\n  - StaticText \\\"Search results for: Using Credits for Flexible Usage in ChatGPT\\\"\\n- list\\n  - listitem [level=1]\\n    - link \\\"Codex credits for Students - Terms of Service\\\" [ref=e10]\\n      - heading \\\"Codex credits for Students - Terms of Service\\\" [level=3, ref=e30]\\n  - listitem [level=1]\\n    - link \\\"ChatGPT — Release Notes A changelog of the latest updates and release notes for ChatGPT A changelog of the latest updates and release notes for ChatGPT\\\" [ref=e11]\\n      - heading \\\"ChatGPT — Release Notes\\\" [level=3, ref=e31]\\n      - paragraph\\n      - paragraph\\n  - listitem [level=1]\\n    - link \\\"Codex rate card Learn how Codex credit rates work across Plus, Pro, Business, Enterprise, Edu, Health, and Gov plans. Learn how Codex credit rates work across Plus, Pro, Business, Enterprise, Edu\\\" [ref=e12]\\n      - heading \\\"Codex rate card\\\" [level=3, ref=e32]\\n      - paragraph\\n      - paragraph\\n  - listitem [level=1]\\n    - link \\\"ChatGPT Rate Card (Business, Enterprise/Edu) Flexible pricing rate card for the Business and Enterprise/Edu plans Flexible pricing rate card for the Business and Enterprise… This article outlines the current rates for ChatGPT models and features under the flexible pricing structure… For more information about how flexible pricing works, please refer to our article: Flexible… For rates for Plus/Pro plans, please refer to our article: Using Credits for Flexible Usage in ChatGPT (Free/Go/Plus\\\" [ref=e13]\\n      - heading \\\"ChatGPT Rate Card (Business, Enterprise/Edu)\\\" [level=3, ref=e33]\\n      - paragraph\\n      - paragraph\\n        - StaticText \\\"Flexible pricing rate card for the Business and Enterprise… This article outlines the current rates for ChatGPT models and features under the flexible pricing structure… For more information about how flexible pricing works, please refer to our article: Flexible… For rates for Plus/Pro plans, please refer to our article: Using Credits for Flexible Usage in ChatGPT (Free/Go/Plus\\\"\\n  - listitem [level=1]\\n    - link \\\"ChatGPT for Excel and Google Sheets Use ChatGPT in Excel and Google Sheets to build, update, and understand spreadsheets, and learn how setup works for your plan. Use ChatGPT in Excel and Google Sheets to build, update\\\" [ref=e14]\\n      - heading \\\"ChatGPT for Excel and Google Sheets\\\" [level=3, ref=e34]\\n  - listitem [level=1]\\n    - link \\\"Using Credits for Flexible Usage in ChatGPT (Free/Go/Plus/Pro) Key information and FAQs about using credits Key information and FAQs about using credits\\\" [ref=e15]\\n      - heading \\\"Using Credits for Flexible Usage in ChatGPT (Free/Go/Plus/Pro)\\\" [level=3, ref=e35]\\n  - listitem [level=1]\\n    - link \\\"Flexible pricing for the Enterprise, Edu, and Business plans Frequently asked questions and key information about flexible pricing Frequently asked questions and key information about flexible pricing\\\" [ref=e16]\\n      - heading \\\"Flexible pricing for the Enterprise, Edu, and Business plans\\\" [level=3, ref=e36]\\n  - listitem [level=1]\\n    - link \\\"Managing credits and spend controls in ChatGPT Business Learn when ChatGPT Business needs credits, how to add credits and auto-top-up, and how to review usage analytics and spend controls for Codex. Learn when ChatGPT Business needs credits, how to add credits and… Learn when ChatGPT Business needs credits, how to add credits and auto-top-up, and how to review usage analytics and spend controls for Codex.\\\" [ref=e17]\\n      - heading \\\"Managing credits and spend controls in ChatGPT Business\\\" [level=3, ref=e37]\\n  - listitem [level=1]\\n    - link \\\"What is ChatGPT Business? Learn what ChatGPT Business is, how different seat types work, and how pricing, privacy, and admin controls work. Learn what ChatGPT Business is, how different seat types work, and… ChatGPT Business is a self-serve plan designed for… ChatGPT Business is a self-serve plan designed for organizations that want a shared ChatGPT workspace for their teams.… Admin controls for managing users, roles, and access Usage visibility and spend controls Acce\\\" [ref=e18]\\n      - heading \\\"What is ChatGPT Business?\\\" [level=3, ref=e38]\\n  - listitem [level=1]\\n    - link \\\"What is ChatGPT Enterprise? Learn what ChatGPT Enterprise includes, how organizations and members get access, how workspaces and seat types behave, and what happens when you migrate from an individual paid plan. Learn what ChatGPT Enterprise includes, how organizations and members get access… ChatGPT Enterprise is a managed ChatGPT plan for organizations.… with centralized admin controls and access to advanced ChatGPT capabilities.… ChatGPT Enterprise includes\\\" [ref=e19]\\n      - heading \\\"What is ChatGPT Enterprise?\\\" [level=3, ref=e39]\\n  - listitem [level=1]\\n    - link \\\"What is prepaid billing?\\\" [ref=e20]\\n      - heading \\\"What is prepaid billing?\\\" [level=3, ref=e40]\\n  - listitem [level=1]\\n    - link \\\"Managing billing and seats in ChatGPT Business Learn how standard ChatGPT seats, Codex seats, credits, and billing cadence work in ChatGPT Business. Learn how standard ChatGPT seats, Codex seats, credits, and billing cadence work… Learn how standard ChatGPT seats, Codex seats, credits, and billing cadence work in ChatGPT Business.\\\" [ref=e21]\\n      - heading \\\"Managing billing and seats in ChatGPT Business\\\" [level=3, ref=e41]\\n  - listitem [level=1]\\n    - link \\\"Codex for Business Promotion: Earn up to $500 in Credits Terms for our ChatGPT Business Codex Promotion Terms for our ChatGPT Business Codex Promotion\\\" [ref=e22]\\n      - heading \\\"Codex for Business Promotion: Earn up to $500 in Credits\\\" [level=3, ref=e42]\\n  - listitem [level=1]\\n    - link \\\"ChatGPT Enterprise and Edu - Models & Limits Understand which models are best suited for your tasks. ChatGPT Enterprise is a subscription plan which offers enterprise… Learn how ChatGPT can transform your organization.… If you are on ChatGPT flexible pricing, please refer to this page for… Please note that access to GPT-5.5 Instant is by default disabled for ChatGPT Enterprise workspaces.\\\" [ref=e23]\\n      - heading \\\"ChatGPT Enterprise and Edu - Models & Limits\\\" [level=3, ref=e43]\\n  - listitem [level=1]\\n    - link \\\"ChatGPT Business - Models & Limits The ChatGPT Business subscription is a self-serve subscription plan… designed for organizations and businesses wishing to adopt ChatGPT for use among their teams.… ChatGPT Business is available for 2 or more users.… If you're looking for a larger option, please consider ChatGPT Enterprise.\\\" [ref=e24]\\n      - heading \\\"ChatGPT Business - Models & Limits\\\" [level=3, ref=e44]\\n- contentinfo\\n  - image \\\"OpenAI logo\\\"\\n  - navigation\\n    - link \\\"ChatGPT\\\" [ref=e25]\\n    - link \\\"API\\\" [ref=e26]\\n    - link \\\"Service Status\\\" [ref=e27]\\n    - button \\\"Open cookie preferences dialog\\\" [ref=e28]\\n- button \\\"Open chat\\\" [ref=e4]\\n- generic\\n  - paragraph\\n  - paragraph\\n    - link \\\"Cookie Policy\\\" [ref=e29]\\n  - button \\\"Reject all cookies\\\" [ref=e8]\\n  - button \\\"Accept all cookies\\\" [ref=e9]\", \"element_count\": 44}", "tool_call_id": "call_ZTKPRtrqwmKBPUL8ThCeJ2i5", "timestamp": "2026-05-23T13:50:28.266913"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_DrXgGO9SBypJ2JrUf5STy332", "call_id": "call_DrXgGO9SBypJ2JrUf5STy332", "response_item_id": "fc_0d1a4d10654d56b4016a1193a53e48819182e871805ca7c094", "type": "function", "function": {"name": "browser_click", "arguments": "{\"ref\":\"e15\"}"}}], "timestamp": "2026-05-23T13:50:28.266913"}
{"role": "tool", "name": "browser_click", "content": "{\"success\": true, \"clicked\": \"@e15\"}", "tool_call_id": "call_DrXgGO9SBypJ2JrUf5STy332", "timestamp": "2026-05-23T13:50:28.266913"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_l9eCm9RUkGOjo4M5jv56icZ4", "call_id": "call_l9eCm9RUkGOjo4M5jv56icZ4", "response_item_id": "fc_0d1a4d10654d56b4016a1193a8c3b08191930f8a025c77f197", "type": "function", "function": {"name": "browser_console", "arguments": "{\"expression\":\"document.body.innerText\"}"}}], "timestamp": "2026-05-23T13:50:28.266913"}
{"role": "tool", "name": "browser_console", "content": "{\"success\": true, \"result\": \"Language\\nEnglish\\nLogin\\nSearch results for: Using Credits for Flexible Usage in ChatGPT\\nCodex credits for Students - Terms of Service\\nChatGPT — Release Notes\\n\\nA changelog of the latest updates and release notes for ChatGPT\\n\\nA changelog of the latest updates and release notes for ChatGPT\\n\\nCodex rate card\\n\\nLearn how Codex credit rates work across Plus, Pro, Business, Enterprise, Edu, Health, and Gov plans.\\n\\nLearn how Codex credit rates work across Plus, Pro, Business, Enterprise, Edu\\n\\nChatGPT Rate Card (Business, Enterprise/Edu)\\n\\nFlexible pricing rate card for the Business and Enterprise/Edu plans\\n\\nFlexible pricing rate card for the Business and Enterprise… This article outlines the current rates for ChatGPT models and features under the flexible pricing structure… For more information about how flexible pricing works, please refer to our article: Flexible… For rates for Plus/Pro plans, please refer to our article: Using Credits for Flexible Usage in ChatGPT (Free/Go/Plus\\n\\nChatGPT for Excel and Google Sheets\\n\\nUse ChatGPT in Excel and Google Sheets to build, update, and understand spreadsheets, and learn how setup works for your plan.\\n\\nUse ChatGPT in Excel and Google Sheets to build, update\\n\\nUsing Credits for Flexible Usage in ChatGPT (Free/Go/Plus/Pro)\\n\\nKey information and FAQs about using credits\\n\\nKey information and FAQs about using credits\\n\\nFlexible pricing for the Enterprise, Edu, and Business plans\\n\\nFrequently asked questions and key information about flexible pricing\\n\\nFrequently asked questions and key information about flexible pricing\\n\\nManaging credits and spend controls in ChatGPT Business\\n\\nLearn when ChatGPT Business needs credits, how to add credits and auto-top-up, and how to review usage analytics and spend controls for Codex.\\n\\nLearn when ChatGPT Business needs credits, how to add credits and… Learn when ChatGPT Business needs credits, how to add credits and auto-top-up, and how to review usage analytics and spend controls for Codex.\\n\\nWhat is ChatGPT Business?\\n\\nLearn what ChatGPT Business is, how different seat types work, and how pricing, privacy, and admin controls work.\\n\\nLearn what ChatGPT Business is, how different seat types work, and… ChatGPT Business is a self-serve plan designed for… ChatGPT Business is a self-serve plan designed for organizations that want a shared ChatGPT workspace for their teams.… Admin controls for managing users, roles, and access Usage visibility and spend controls Acce\\n\\nWhat is ChatGPT Enterprise?\\n\\nLearn what ChatGPT Enterprise includes, how organizations and members get access, how workspaces and seat types behave, and what happens when you migrate from an individual paid plan.\\n\\nLearn what ChatGPT Enterprise includes, how organizations and members get access… ChatGPT Enterprise is a managed ChatGPT plan for organizations.… with centralized admin controls and access to advanced ChatGPT capabilities.… ChatGPT Enterprise includes\\n\\nWhat is prepaid billing?\\nManaging billing and seats in ChatGPT Business\\n\\nLearn how standard ChatGPT seats, Codex seats, credits, and billing cadence work in ChatGPT Business.\\n\\nLearn how standard ChatGPT seats, Codex seats, credits, and billing cadence work… Learn how standard ChatGPT seats, Codex seats, credits, and billing cadence work in ChatGPT Business.\\n\\nCodex for Business Promotion: Earn up to $500 in Credits\\n\\nTerms for our ChatGPT Business Codex Promotion\\n\\nTerms for our ChatGPT Business Codex Promotion\\n\\nChatGPT Enterprise and Edu - Models & Limits\\n\\nUnderstand which models are best suited for your tasks.\\n\\nChatGPT Enterprise is a subscription plan which offers enterprise… Learn how ChatGPT can transform your organization.… If you are on ChatGPT flexible pricing, please refer to this page for… Please note that access to GPT-5.5 Instant is by default disabled for ChatGPT Enterprise workspaces.\\n\\nChatGPT Business - Models & Limits\\n\\nThe ChatGPT Business subscription is a self-serve subscription plan… designed for organizations and businesses wishing to adopt ChatGPT for use among their teams.… ChatGPT Business is available for 2 or more users.… If you're looking for a larger option, please consider ChatGPT Enterprise.\\n\\nChatGPT\\nAPI\\nService Status\\nCookie Preferences\\n\\nWe use cookies and similar technologies to deliver, maintain, improve our services and for security purposes.\\n\\nCheck our Cookie Policy for details. Click 'Accept all' to let OpenAI and partners use cookies for these purposes. Click 'Reject all' to say no to cookies, except those that are strictly necessary. You can change your cookie settings at any time by clicking the cookie preferences link at the bottom of the page.\\n\\nReject All\\nAccept All\", \"result_type\": \"str\"}", "tool_call_id": "call_l9eCm9RUkGOjo4M5jv56icZ4", "timestamp": "2026-05-23T13:50:28.266913"}
{"role": "assistant", "content": "", "reasoning": "**Exploring click issues**\n\nI need to address a click issue, and I think using JavaScript to find the href might be the right way to go. That's a straightforward way to pull the link associated with the click, ensuring I get the right target. I wonder if I need to consider edge cases where multiple links may exist or how to handle any potential errors. I'll dig into the specifics more deeply to troubleshoot effectively!", "finish_reason": "tool_calls", "reasoning_content": "**Exploring click issues**\n\nI need to address a click issue, and I think using JavaScript to find the href might be the right way to go. That's a straightforward way to pull the link associated with the click, ensuring I get the right target. I wonder if I need to consider edge cases where multiple links may exist or how to handle any potential errors. I'll dig into the specifics more deeply to troubleshoot effectively!", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqEZOvRjQQp5wh-sjUJm3kl_hsBKPWUJVBTN5IJtz2CMKzrWdYLZo3m6rxtMAsDhoOMWkoMdlWhXm938fuYLHBRy5e5zF5Iah42rDLBJZ3-6QuPRuD7w8BKjuhI8DHFMmc06qdCHvXkyCIsm2fCfGxOTdnbPGTDl2t22nS9mnt0U7aCcSg4f9yBSVDSEA6GJ8b2NJIqyd5UJqmE2T8vGAHgkMTxZqFbt07smHYesIGZvCUyEwqfWwamdpmYqauPJGd-mL4nA9AI3KNky44ltdlQfr-m-95sXOQlKj64yybIHcExk0T-qVQ98yYk-AjZMupqcfScDlTUwwhhvovFU89e1ZgANsnUCaxsT6Lekxxz8dmaz69vXCxZnA09jzfPS2EVzR45joFufoVX1dQ8negc7PRYVtqit8wnlw-EmznsaWpuQ8X5Xo2LZNH52B8qC9weEYRzcE9qMew2IWkAON2VbozjZiyeAiEyTYkmhVHL1F3ijvg8DsbntaHKrcjk32nQByS1R94m0i2fwTm2knEYb2riUvPgHfPp5KscvEgHtcsmY-7MsIFczxCt2WoZ4Q1-mQKRbbDjhHPjMgPnWlzcwHGHWLUQAOeciS-16Ap_JMiXyxKKIrc-BakPlkmQUeRDCbqByAN6V9CMJPQBGcKwJ7ogQmUZxIZyn_UxtMC280Tdd3rez_yRU88s15Wk0SoGjjz6UZAshXOR2TPlfKwhuDRxXH6a7iG4tJqVRxH-BdKGD2RZlteMFx_EQxdVIuZYK4TQQxoK-GlkOLVFMUvsCe6llGom0OIk58vijLOtUKB8d71oJEuayYi2YCKr8JQlVMhftMzqv1GZS3ZlNrWFlRwkrBUo9GFjOqec5rKpxrxBnmTpq4MOn_kYaC--1GRiTEeiDKdPzXAE_cE4krdvDnufQkC4d4Hl4zcif8pvcVXwFjVRvewmDDzMTJIrizLSWTC", "id": "rs_0d1a4d10654d56b4016a1193ad7bf08191978706533e5013d2", "summary": [{"type": "summary_text", "text": "**Exploring click issues**\n\nI need to address a click issue, and I think using JavaScript to find the href might be the right way to go. That's a straightforward way to pull the link associated with the click, ensuring I get the right target. I wonder if I need to consider edge cases where multiple links may exist or how to handle any potential errors. I'll dig into the specifics more deeply to troubleshoot effectively!"}]}], "tool_calls": [{"id": "call_9iT6JHcVVCMkxb7ukbYqvxjY", "call_id": "call_9iT6JHcVVCMkxb7ukbYqvxjY", "response_item_id": "fc_0d1a4d10654d56b4016a1193afb44081918db65cb10e277b3b", "type": "function", "function": {"name": "browser_console", "arguments": "{\"expression\":\"Array.from(document.querySelectorAll('a')).map(a=>({text:a.innerText, href:a.href})).filter(x=>x.text.includes('Using Credits'))\"}"}}], "timestamp": "2026-05-23T13:50:28.266913"}
{"role": "tool", "name": "browser_console", "content": "{\"success\": true, \"result\": [{\"href\": \"https://help.openai.com/en/articles/11481834-chatgpt-rate-card-business-enterpriseedu\", \"text\": \"ChatGPT Rate Card (Business, Enterprise/Edu)\\n\\nFlexible pricing rate card for the Business and Enterprise/Edu plans\\n\\nFlexible pricing rate card for the Business and Enterprise… This article outlines the current rates for ChatGPT models and features under the flexible pricing structure… For more information about how flexible pricing works, please refer to our article: Flexible… For rates for Plus/Pro plans, please refer to our article: Using Credits for Flexible Usage in ChatGPT (Free/Go/Plus\"}, {\"href\": \"https://help.openai.com/en/articles/12642688-using-credits-for-flexible-usage-in-chatgpt-freegopluspro\", \"text\": \"Using Credits for Flexible Usage in ChatGPT (Free/Go/Plus/Pro)\\n\\nKey information and FAQs about using credits\\n\\nKey information and FAQs about using credits\"}], \"result_type\": \"list\"}", "tool_call_id": "call_9iT6JHcVVCMkxb7ukbYqvxjY", "timestamp": "2026-05-23T13:50:28.266913"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_Mb0lYY6JgHBeJzyLY6ZSLK3P", "call_id": "call_Mb0lYY6JgHBeJzyLY6ZSLK3P", "response_item_id": "fc_0d1a4d10654d56b4016a1193b34f2c8191915f89ea5757b21a", "type": "function", "function": {"name": "browser_navigate", "arguments": "{\"url\":\"https://help.openai.com/en/articles/12642688-using-credits-for-flexible-usage-in-chatgpt-freegopluspro\"}"}}], "timestamp": "2026-05-23T13:50:28.266913"}
{"role": "tool", "name": "browser_navigate", "content": "{\"success\": true, \"url\": \"https://help.openai.com/en/articles/12642688-using-credits-for-flexible-usage-in-chatgpt-freegopluspro\", \"title\": \"Using Credits for Flexible Usage in ChatGPT (Free/Go/Plus/Pro) | OpenAI Help Center\", \"snapshot\": \"- link \\\"OpenAI\\\" [ref=e1]\\n- generic\\n  - button \\\"Language\\\" [expanded=false, ref=e6]\\n- link \\\"Login\\\" [ref=e2]\\n- generic\\n  - textbox \\\"Search for articles...\\\" [ref=e7]\\n- navigation \\\"Breadcrumb\\\" [ref=e3]\\n  - list\\n    - listitem [level=1]\\n      - link \\\"All Collections\\\" [ref=e41]\\n    - listitem [level=1]\\n      - link \\\"ChatGPT\\\" [ref=e42]\\n- article\\n  - heading \\\"Using Credits for Flexible Usage in ChatGPT (Free/Go/Plus/Pro)\\\" [level=1, ref=e8]\\n  - paragraph\\n    - StaticText \\\"Key information and FAQs about using credits\\\"\\n  - StaticText \\\"Updated: vorgestern\\\"\\n  - paragraph\\n    - emphasis\\n      - StaticText \\\"Note\\\"\\n    - emphasis\\n      - StaticText \\\": The Sora web and app experiences were discontinued on April 26, 2026. Credits purchased for Sora can be used for Codex, and ChatGPT for Excel once flexible pricing is effective on May 5, 2026. \\\"\\n    - link \\\"Read more about the Sora discontinuation.\\\" [ref=e27]\\n      - emphasis\\n  - heading \\\"Overview\\\" [level=2, ref=e9]\\n  - paragraph\\n    - StaticText \\\"We're adding the ability for you to purchase credits when you reach your plan's included limits, without the need to upgrade your plan. Credits currently can only be used with \\\"\\n    - link \\\"Codex\\\" [ref=e28]\\n    - StaticText \\\" (for Plus/Pro users only) and \\\"\\n    - link \\\"ChatGPT for Excel\\\" [ref=e29]\\n    - StaticText \\\".\\\"\\n  - heading \\\"What changes for my plan\\\" [level=2, ref=e10]\\n  - list\\n    - listitem [level=1]\\n      - ListMarker \\\"• \\\"\\n      - paragraph\\n    - listitem [level=1]\\n      - ListMarker \\\"• \\\"\\n      - paragraph\\n    - listitem [level=1]\\n      - ListMarker \\\"• \\\"\\n      - paragraph\\n  - heading \\\"How credits work\\\" [level=2, ref=e11]\\n  - paragraph\\n    - StaticText \\\"Your plan's included usage is used first. After you hit plan limits, usage draws from your credit balance. Read about \\\"\\n    - link \\\"Codex usage limits\\\" [ref=e30]\\n    - StaticText \\\".\\\"\\n    - LineBreak \\\"\\\\n\\\"\\n    - LineBreak \\\"\\\\n\\\"\\n    - StaticText \\\"For Plus and Pro, ChatGPT for Excel usage counts toward the same agentic \\\"\\n    - link \\\"usage limit as Codex\\\" [ref=e31]\\n    - StaticText \\\".\\\"\\n    - LineBreak \\\"\\\\n\\\"\\n    - LineBreak \\\"\\\\n\\\"\\n    - StaticText \\\"If you hit a usage limit in Codex on Plus or Pro, you'll see an option to add credits. You can also buy credits from Codex Settings > Usage > Credits on both web and the Codex app. Free and Go users are prompted to upgrade to Plus instead of adding credits for Codex.\\\"\\n    - LineBreak \\\"\\\\n\\\"\\n    - LineBreak \\\"\\\\n\\\"\\n    - StaticText \\\"Eligible Plus and Pro users can also turn on Auto top-up from Codex Settings > Usage. When your credit balance drops below your selected minimum balance, we automatically purchase only the amount needed to return it to your selected target balance using your default payment method on file. If your balance is already below the minimum when you turn it on, a purchase may happen right away.\\\"\\n    - LineBreak \\\"\\\\n\\\"\\n    - LineBreak \\\"\\\\n\\\"\\n    - LineBreak \\\"\\\\n\\\"\\n    - StaticText \\\"Note: Auto top-up applies to your shared credits balance, so those credits can still be used across supported features like Codex and ChatGPT for Excel.\\\"\\n    - LineBreak \\\"\\\\n\\\"\\n    - LineBreak \\\"\\\\n\\\"\\n    - StaticText \\\"See your balance on ChatGPT web by navigating to Codex Settings > Usage Dashboard. This shows credits balance and recent usage.\\\"\\n  - heading \\\"Rate Card\\\" [level=2, ref=e12]\\n  - heading \\\"Codex\\\" [level=3, ref=e13]\\n  - paragraph\\n    - StaticText \\\"For Codex rates, refer to the \\\"\\n    - link \\\"Codex rate card\\\" [ref=e32]\\n    - StaticText \\\".\\\"\\n  - heading \\\"ChatGPT for Excel\\\" [level=3, ref=e14]\\n  - table\\n    - rowgroup\\n      - row\\n        - columnheader \\\"Model\\\" [ref=e65]\\n        - columnheader \\\"Input tokens\\\" [ref=e66]\\n        - columnheader \\\"Cached input tokens\\\" [ref=e67]\\n        - columnheader \\\"Output tokens\\\" [ref=e68]\\n    - row\\n      - cell \\\"GPT-5.5\\\" [ref=e43]\\n      - cell \\\"125 credits\\\" [ref=e44]\\n      - cell \\\"12.50 credits\\\" [ref=e45]\\n      - cell \\\"750 credits\\\" [ref=e46]\\n  - paragraph\\n  - heading \\\"FAQs\\\" [level=2, ref=e15]\\n  - heading \\\"Can I use the same credits for different features?\\\" [level=3, ref=e16]\\n  - paragraph\\n  - heading \\\"Can I use auto top-up with credits?\\\" [level=3, ref=e17]\\n  - paragraph\\n  - heading \\\"Are credits refundable?\\\" [level=3, ref=e18]\\n  - paragraph\\n  - heading \\\"Do credits expire or roll over?\\\" [level=3, ref=e19]\\n  - paragraph\\n  - heading \\\"What happens if credits are used due to a compromised account?\\\" [level=3, ref=e20]\\n  - paragraph\\n    - StaticText \\\"If your account is compromised and credits are used without authorization, contact support@openai.com immediately. We will investigate the incident, restore lost credits if misuse is confirmed, and assist with password resets and security controls. We also recommend that you take immediate steps to secure the account by following the steps outlined here: https://help.openai.com/en/articles/7242626-how-can-i-report-fraud-or-suspicious-activity\\\"\\n  - heading \\\"Are credits transferable?\\\" [level=3, ref=e21]\\n  - paragraph\\n  - heading \\\"What terms govern the purchase of credits?\\\" [level=3, ref=e22]\\n  - paragraph\\n    - StaticText \\\"Credits are subject to the above and the Service credit terms: https://openai.com/policies/service-credit-terms/\\\"\\n- generic\\n  - heading \\\"Related articles\\\" [level=2, ref=e23]\\n  - list\\n    - listitem [level=1]\\n      - link \\\"ChatGPT — Release Notes A changelog of the latest updates and release notes for ChatGPT\\\" [ref=e47]\\n    - listitem [level=1]\\n      - link \\\"ChatGPT Rate Card (Business, Enterprise/Edu) Flexible pricing rate card for the Business and Enterprise/Edu plans\\\" [ref=e48]\\n    - listitem [level=1]\\n      - link \\\"Flexible pricing for the Enterprise, Edu, and Business plans Frequently asked questions and key information about flexible pricing\\\" [ref=e49]\\n- generic\\n  - heading \\\"Was this article helpful?\\\" [level=2, ref=e24]\\n  - generic\\n    - button \\\"Thumbs up\\\" [ref=e33]\\n    - button \\\"Thumbs down\\\" [ref=e34]\\n    - textbox \\\"Additional feedback (optional)\\\" [ref=e35]\\n    - button \\\"Submit\\\" [disabled, ref=e50]\\n- navigation \\\"Table of contents\\\" [ref=e4]\\n  - list\\n    - listitem [level=1]\\n      - link \\\"Overview\\\" [ref=e51]\\n    - listitem [level=1]\\n      - link \\\"What changes for my plan\\\" [ref=e52]\\n    - listitem [level=1]\\n      - link \\\"How credits work\\\" [ref=e53]\\n    - listitem [level=1]\\n      - link \\\"Rate Card\\\" [ref=e54]\\n    - listitem [level=1]\\n      - link \\\"Codex\\\" [ref=e55]\\n    - listitem [level=1]\\n      - link \\\"ChatGPT for Excel\\\" [ref=e56]\\n    - listitem [level=1]\\n      - link \\\"FAQs\\\" [ref=e57]\\n    - listitem [level=1]\\n      - link \\\"Can I use the same credits for different features?\\\" [ref=e58]\\n    - listitem [level=1]\\n      - link \\\"Can I use auto top-up with credits?\\\" [ref=e59]\\n    - listitem [level=1]\\n      - link \\\"Are credits refundable?\\\" [ref=e60]\\n    - listitem [level=1]\\n      - link \\\"Do credits expire or roll over?\\\" [ref=e61]\\n    - listitem [level=1]\\n      - link \\\"What happens if credits are used due to a compromised account?\\\" [ref=e62]\\n    - listitem [level=1]\\n      - link \\\"Are credits transferable?\\\" [ref=e63]\\n    - listitem [level=1]\\n      - link \\\"What terms govern the purchase of credits?\\\" [ref=e64]\\n- contentinfo\\n  - image \\\"OpenAI logo\\\"\\n  - navigation\\n    - link \\\"ChatGPT\\\" [ref=e36]\\n    - link \\\"API\\\" [ref=e37]\\n    - link \\\"Service Status\\\" [ref=e38]\\n    - button \\\"Open cookie preferences dialog\\\" [ref=e39]\\n- button \\\"Open chat\\\" [ref=e5]\\n- generic\\n  - paragraph\\n  - paragraph\\n    - link \\\"Cookie Policy\\\" [ref=e40]\\n  - button \\\"Reject all cookies\\\" [ref=e25]\\n  - button \\\"Accept all cookies\\\" [ref=e26]\", \"element_count\": 68}", "tool_call_id": "call_Mb0lYY6JgHBeJzyLY6ZSLK3P", "timestamp": "2026-05-23T13:50:28.266913"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_gNnhug3mWmQcJZ2mUWGGadwj", "call_id": "call_gNnhug3mWmQcJZ2mUWGGadwj", "response_item_id": "fc_0d1a4d10654d56b4016a1193bfad888191b211b93e0c441cb2", "type": "function", "function": {"name": "browser_console", "arguments": "{\"expression\":\"document.body.innerText\"}"}}], "timestamp": "2026-05-23T13:50:28.266913"}
{"role": "tool", "name": "browser_console", "content": "{\"success\": true, \"result\": \"Language\\nEnglish\\nLogin\\nAll Collections\\nChatGPT\\nUsing Credits for Flexible Usage in ChatGPT (Free/Go/Plus/Pro)\\nUsing Credits for Flexible Usage in ChatGPT (Free/Go/Plus/Pro)\\n\\nKey information and FAQs about using credits\\n\\nUpdated: vorgestern\\n\\nNote: The Sora web and app experiences were discontinued on April 26, 2026. Credits purchased for Sora can be used for Codex, and ChatGPT for Excel once flexible pricing is effective on May 5, 2026. Read more about the Sora discontinuation.\\n\\nOverview\\n\\nWe're adding the ability for you to purchase credits when you reach your plan's included limits, without the need to upgrade your plan. Credits currently can only be used with Codex (for Plus/Pro users only) and ChatGPT for Excel.\\n\\nWhat changes for my plan\\n\\nNothing about your plan changes. You still get your plan's included usage.\\n\\nCredits are a pay-as-you-go add-on for Codex and ChatGPT for Excel when you need more usage beyond plan limits\\n\\nFlexible pricing for Codex is currently available. Flexible pricing for ChatGPT for Excel will take effect starting May 5, 2026.\\n\\nHow credits work\\n\\nYour plan's included usage is used first. After you hit plan limits, usage draws from your credit balance. Read about Codex usage limits.\\n\\nFor Plus and Pro, ChatGPT for Excel usage counts toward the same agentic usage limit as Codex.\\n\\nIf you hit a usage limit in Codex on Plus or Pro, you'll see an option to add credits. You can also buy credits from Codex Settings > Usage > Credits on both web and the Codex app. Free and Go users are prompted to upgrade to Plus instead of adding credits for Codex.\\n\\nEligible Plus and Pro users can also turn on Auto top-up from Codex Settings > Usage. When your credit balance drops below your selected minimum balance, we automatically purchase only the amount needed to return it to your selected target balance using your default payment method on file. If your balance is already below the minimum when you turn it on, a purchase may happen right away.\\n\\n\\nNote: Auto top-up applies to your shared credits balance, so those credits can still be used across supported features like Codex and ChatGPT for Excel.\\n\\nSee your balance on ChatGPT web by navigating to Codex Settings > Usage Dashboard. This shows credits balance and recent usage.\\n\\nRate Card\\nCodex\\n\\nFor Codex rates, refer to the Codex rate card.\\n\\nChatGPT for Excel\\nModel\\n\\t\\nInput tokens\\n\\t\\nCached input tokens\\n\\t\\nOutput tokens\\n\\n\\nGPT-5.5\\n\\t\\n125 credits\\n\\t\\n12.50 credits\\n\\t\\n750 credits\\n\\nA typical ChatGPT for Excel/Sheets task using GPT-5.5 may consume between 5-30 credits per task.\\n\\nFAQs\\nCan I use the same credits for different features?\\n\\nYes. Your credits are flexible - they work across any supported feature available in your plan. Currently, this includes Codex for Plus/Pro subscribers and ChatGPT for Excel for all users (once pricing is effective for that feature).\\n\\nFor example, if you buy credits in Codex, you can use those credits for ChatGPT for Excel features as well, above and beyond included rate limits.\\n\\nCan I use auto top-up with credits?\\n\\nEligible Plus and Pro users can turn on auto top-up from Codex Settings > Usage Dashboard. When your credit balance drops below your selected minimum balance, we automatically purchase only the amount needed to return it to your selected target balance using your default payment method on file. If your balance is already below the minimum when you turn it on, a purchase may happen right away.\\n\\nAre credits refundable?\\n\\nCredits are non-refundable, except where required by law. We may restore credits in cases of confirmed account compromise (see below).\\n\\nDo credits expire or roll over?\\n\\nCredits are valid for 12 months from purchase. Unused credits expire and do not roll over after the expiry date.\\n\\nWhat happens if credits are used due to a compromised account?\\n\\nIf your account is compromised and credits are used without authorization, contact support@openai.com immediately. We will investigate the incident, restore lost credits if misuse is confirmed, and assist with password resets and security controls. We also recommend that you take immediate steps to secure the account by following the steps outlined here: https://help.openai.com/en/articles/7242626-how-can-i-report-fraud-or-suspicious-activity\\n\\nAre credits transferable?\\n\\nCredits are non-transferable, have no cash value, and cannot be resold or gifted.\\n\\nWhat terms govern the purchase of credits?\\n\\nCredits are subject to the above and the Service credit terms: https://openai.com/policies/service-credit-terms/\\n\\nRelated articles\\nChatGPT — Release Notes\\nA changelog of the latest updates and release notes for ChatGPT\\nChatGPT Rate Card (Business, Enterprise/Edu)\\nFlexible pricing rate card for the Business and Enterprise/Edu plans\\nFlexible pricing for the Enterprise, Edu, and Business plans\\nFrequently asked questions and key information about flexible pricing\\nWas this article helpful?\\nSubmit\\nOverview\\nWhat changes for my plan\\nHow credits work\\nRate Card\\nCodex\\nChatGPT for Excel\\nFAQs\\nCan I use the same credits for different features?\\nCan I use auto top-up with credits?\\nAre credits refundable?\\nDo credits expire or roll over?\\nWhat happens if credits are used due to a compromised account?\\nAre credits transferable?\\nWhat terms govern the purchase of credits?\\nChatGPT\\nAPI\\nService Status\\nCookie Preferences\\n\\nWe use cookies and similar technologies to deliver, maintain, improve our services and for security purposes.\\n\\nCheck our Cookie Policy for details. Click 'Accept all' to let OpenAI and partners use cookies for these purposes. Click 'Reject all' to say no to cookies, except those that are strictly necessary. You can change your cookie settings at any time by clicking the cookie preferences link at the bottom of the page.\\n\\nReject All\\nAccept All\", \"result_type\": \"str\"}", "tool_call_id": "call_gNnhug3mWmQcJZ2mUWGGadwj", "timestamp": "2026-05-23T13:50:28.266913"}
{"role": "assistant", "content": "", "reasoning": "**Considering video provider integration**\n\nI'm thinking about adding a video provider since the ChatGPT Pro video isn't currently available. Maybe I could incorporate a module like openai_subscription_video.py or find a simpler way to augment the registry. It seems important to include any unavailable providers, and testing this in new tests sounds like a good plan. Using Test-Driven Development (TDD) could help ensure everything functions correctly while I work on this.", "finish_reason": "tool_calls", "reasoning_content": "**Considering video provider integration**\n\nI'm thinking about adding a video provider since the ChatGPT Pro video isn't currently available. Maybe I could incorporate a module like openai_subscription_video.py or find a simpler way to augment the registry. It seems important to include any unavailable providers, and testing this in new tests sounds like a good plan. Using Test-Driven Development (TDD) could help ensure everything functions correctly while I work on this.", "codex_reasoning_items": [{"type": "reasoning", "encrypted_content": "gAAAAABqEZPI7f9DHhBK9uUODcBbbfl_nrBqPK6BCLYH-NYCp0oha74O9hGgGcz0zOCty9o6vGWd4irnD1umnPAk7lkHKHQF_nn7HYIY4cCLU_-5asJ_2pWhTw38QcSwip7lXk6gofksPE3mW6rcpJTjcaIX3AcvUaP5pPVkZsu-vlWgk1ZSwUH6XBU-j8uNBcFluIDTFGoU85MxB51SMADpWZdEyJ7DGLOxH4fea5E6CtXBXxOSs1st3tCe-69Z33krAmOoSTLCEcV_MFRNvU1Nm73VfWMevMoYJWQ8bdxV0APjBUO1pS-27taT5AIuSNsE6qvoK6z6mOi3nDOzmPPoIky38KaPak7g660GHU64RhQCNwtBpCaFEMnLD3jOj0Gu9R-bzdBRSeYB3rcMkuPK8McOpbJokqUsd84cK7YPpPNq8pitDc_zRxYRpzQkeCJqLXGI-eCRg5RqxpN2Bzh2ITVLlitLxB08hPzpJTLD6I1nD9iqq5jFDTZNnwApbLdz0_WVhhdXFxy273gLQMitsUnmNuf50ojctUxeNhwK-z8mDEwerCUrY9q3j9rMNu9HKBK5JTWvYjZH9gsG7842uxMUE3rJXhUriUh3bkXLbJ16NG6bdVkKgpavys5z5o_zu6ASdBT98DT4mWaPhlFrrWwY0gm_ZHyh1xE7gxcPvVR2tVllqgejALmOsOW5CshRnVOh6SSLTyv_MAAjpwx18w4IZJyQO3OiXRrS7jTuEZLYmYlOEd7OE3bvg0S1t0QZjtflvGwxxmppHMT_XbMXfV6mBs8B49ykVrIXBTNpc6ynB0uJIQtmLTYhivVyHu_gC9hu45cw2VItp9R0tP8IhnLnW2JHxRU8zfq8Za-8LNC1J9m0DGPSZuPc5BiUGIOSKERAPvdO0No980I5bfYcpliomBDuY072GoEm9cF36RNzEmko-2OOsahkmdB8Axp210qj-nONyrqXV4YHYabevpFqiyJM3RUVUq5LpKffaraThQ2rpelHtuu0LCQRgyX6se0Z7V_bSindyr_EZQm-50BbQJ9Q-NN3O7LfCF26nL5LYcwk3aGEgIJ94PtB2cnDwHPmPcysQnWvg0v24QM2gC5g0ePUWcTSPGWVsav94ww74sDzbbgVsM_8zysAnwcRKF_UShRn9mOdgg2DVatgSEbOXBlwtP59Igfmi-eUnVBF8ddsayBfztChGEqTVbeVtegbKbITwVP2WVOBGIBgbfjSFGiMCA8MmJNfVdH5SQ8Y8MYmf1neYtRNf_lvUH6MMuq5w55ujPZDinlLzmx0K_rg2RNxzIn_SaW66EnihyT9hSPHSlQoyJZaJoSgL71Wru_apSGwEJP9dLaUzc4WlCOjVGHibJ80S4sJkz4imD2ZX07RmjBwchQOZmg8wBifalACmaojjbkb4zlHQ_kAcD8nyazFxSVLJje2EQeFuzpHQE1plDbYz40ggLu01ahog3KRRjkNK6B3neB6FCzBfOjPFHHlBZ6XdmcKLWA7C4Q19dnW3cDCOe057ClW_8taSxhPhN8AcFv_JuBPlNPZ1MpZW3yaaEeaiJUuKtc2hUtkHKmVJMajbJs-PiaAk_U-oCVMLHejQyPNgi3EwhLGDa9UAeoB9EPLTzr1OKrXEVWLKG5EWIXnmhOnPBQ-MN2zim7wQ9MaW2ybjDTlGlfCVMOWN00njTo0tEwprTZKWHgC8fMrYNvhCLbQXVx9_lg-1D9lfAWmxgSgMHcGw2dZ2Vf0XjiTbn514X6vYKgpCPFKJenQor7Eyv0Bunah8qOkdlpH7eX2FsDXp9jLshb54JivwbCJ1KkQk2wJVUchaIP9ldq7RrwKDQHWOhiWXGg_Wm7uXT2M9iX8NKI8Wlq56NFyNrr4QxzMXCy0V5qJOrEUMNWBAP0JetiJJwKu8RJnd7WMsWsPAlTm4pruHtSPSGYqz9eY9bFkEUkTZsWXUhKZghf2A3QnUvZwzIADhMAzRYDDTxGRICdpG_dFGp5RqJt6dt7eDlR_LaGf6yYu8rWpPR38lNq35QK7D4p5cjDJmQV5LCXk6nIvr6P8h7X7aKR8fYItC7o6SMA0jt1UUGyLjTJFyPehgNYY_14XznGcjYb3uG4b17qEZxaNm_FZmh_w_w2MFuPD63NaDbAy20rQqAFmJ8Qtpp7ErcpjL9VO8cry3hbvdKijf_iXGq86c1e8uQn_GJaEpG-Bc3ldz-2tBs0XkrgovpFmoyOAbHf9tHLLvdrJ6lHjbBQtokIiXPHlAxzBWdlwhSShK8UnkcbVKNpo2PHlBUWesY3upj4eHbbfXsCXKsAiMoVl0sSeGLOePX_JUas9BS0t4hm66B-BJGnnkng57jtEUkDLYS-pygoCMBPC488p5BN5nyxwnhQN7wSlOHOjNSbg0GCqmhjbnij1I2UNjpAESSXU8fSFUwK8QrwS_QmdQgTXeSS-rNV3OMRozYovG2tI-UyVkwbVyqVTfPa9nUyl805mFoQ8W-K668y7x1tYXZo1XCHPSVi-zyZChAPzVJXRsNdie8TuQ_x94bRB1g_EH7ztm1zYbPXP5jRCgi7pHn189MwTDu1hiRmc6LZ1SK1ZUkSfqiDvqRFJKY7a7M9Vx_ubcAXxwIXqXdf4krlII8afreS9IK0EdzjGQswJuXt-MfDXGa8TcsK6yqHBACwavxa_SrIqLNrELlRfCmwAZiXBBpVoFgh4zkiKli-6wC7aL5WjFtwAg34rIAM=", "id": "rs_0d1a4d10654d56b4016a1193c2d8c88191a20458150f35ef78", "summary": [{"type": "summary_text", "text": "**Considering video provider integration**\n\nI'm thinking about adding a video provider since the ChatGPT Pro video isn't currently available. Maybe I could incorporate a module like openai_subscription_video.py or find a simpler way to augment the registry. It seems important to include any unavailable providers, and testing this in new tests sounds like a good plan. Using Test-Driven Development (TDD) could help ensure everything functions correctly while I work on this."}]}], "tool_calls": [{"id": "call_qyI9CemED0demRrGiNvzzKC3", "call_id": "call_qyI9CemED0demRrGiNvzzKC3", "response_item_id": "fc_0d1a4d10654d56b4016a1193c8e8648191ab0959fa5d855307", "type": "function", "function": {"name": "write_file", "arguments": "{\"content\":\"from pathlib import Path\\n\\nfrom autoshorts.imported_clip_assembler import build_imported_clip_assembly_plan, discover_imported_ai_clips\\n\\n\\nVIDEO_ID = \\\"hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann\\\"\\n\\n\\ndef _production_jobs() -> dict:\\n    return {\\n        \\\"schema_version\\\": \\\"free_production_jobs.v1\\\",\\n        \\\"video\\\": {\\\"id\\\": VIDEO_ID, \\\"title\\\": \\\"Warum ein billiges Auto teuer sein kann\\\", \\\"duration_ms\\\": 34000},\\n        \\\"jobs\\\": [\\n            {\\n                \\\"scene_id\\\": \\\"scene_01\\\",\\n                \\\"asset_mode\\\": \\\"cinematic_ai_video\\\",\\n                \\\"provider\\\": \\\"local_renderer\\\",\\n                \\\"execution_mode\\\": \\\"procedural_motion\\\",\\n                \\\"duration_seconds\\\": 1.4,\\n                \\\"overlay_text\\\": \\\"Dieser Occasion-Käufer denkt, er spart 4'000 Franken.\\\",\\n            },\\n            {\\n                \\\"scene_id\\\": \\\"scene_02\\\",\\n                \\\"asset_mode\\\": \\\"cinematic_ai_video\\\",\\n                \\\"provider\\\": \\\"local_renderer\\\",\\n                \\\"execution_mode\\\": \\\"procedural_motion\\\",\\n                \\\"duration_seconds\\\": 3.6,\\n                \\\"overlay_text\\\": \\\"Das sieht harmlos aus.\\\",\\n            },\\n            {\\n                \\\"scene_id\\\": \\\"scene_03\\\",\\n                \\\"asset_mode\\\": \\\"mechanism_animation\\\",\\n                \\\"provider\\\": \\\"local_renderer\\\",\\n                \\\"execution_mode\\\": \\\"mechanism_reveal_animation\\\",\\n                \\\"duration_seconds\\\": 13,\\n                \\\"overlay_text\\\": \\\"Röntgenblick durch Preis...\\\",\\n            },\\n        ],\\n    }\\n\\n\\ndef test_discover_imported_ai_clips_finds_only_scene_named_video_files(tmp_path):\\n    clip_dir = tmp_path / VIDEO_ID\\n    clip_dir.mkdir(parents=True)\\n    (clip_dir / \\\"scene_01.mp4\\\").write_bytes(b\\\"fake\\\")\\n    (clip_dir / \\\"scene_02.mov\\\").write_bytes(b\\\"fake\\\")\\n    (clip_dir / \\\"notes.txt\\\").write_text(\\\"ignore\\\", encoding=\\\"utf-8\\\")\\n\\n    clips = discover_imported_ai_clips(VIDEO_ID, tmp_path)\\n\\n    assert set(clips) == {\\\"scene_01\\\", \\\"scene_02\\\"}\\n    assert clips[\\\"scene_01\\\"] == clip_dir / \\\"scene_01.mp4\\\"\\n    assert clips[\\\"scene_02\\\"] == clip_dir / \\\"scene_02.mov\\\"\\n\\n\\ndef test_build_imported_clip_assembly_plan_prefers_imported_realistic_clips_and_local_fallbacks(tmp_path):\\n    clip_dir = tmp_path / VIDEO_ID\\n    clip_dir.mkdir(parents=True)\\n    (clip_dir / \\\"scene_01.mp4\\\").write_bytes(b\\\"fake\\\")\\n\\n    plan = build_imported_clip_assembly_plan(_production_jobs(), imported_root=tmp_path)\\n\\n    assert plan[\\\"schema_version\\\"] == \\\"imported_clip_assembly.v1\\\"\\n    assert plan[\\\"video\\\"][\\\"id\\\"] == VIDEO_ID\\n    assert plan[\\\"budget_policy\\\"][\\\"paid_video_credits_allowed\\\"] is False\\n    assert plan[\\\"final_assembly\\\"] == \\\"local_ffmpeg\\\"\\n\\n    scene_01 = plan[\\\"scenes\\\"][0]\\n    scene_02 = plan[\\\"scenes\\\"][1]\\n    scene_03 = plan[\\\"scenes\\\"][2]\\n\\n    assert scene_01[\\\"source\\\"] == \\\"imported_ai_clip\\\"\\n    assert scene_01[\\\"clip_path\\\"] == str(clip_dir / \\\"scene_01.mp4\\\")\\n    assert scene_01[\\\"captions_added_locally\\\"] is True\\n\\n    assert scene_02[\\\"source\\\"] == \\\"local_renderer_fallback\\\"\\n    assert scene_02[\\\"missing_expected_clip\\\"] == str(clip_dir / \\\"scene_02.mp4\\\")\\n\\n    assert scene_03[\\\"source\\\"] == \\\"local_renderer\\\"\\n    assert scene_03[\\\"role\\\"] == \\\"mechanism_or_caption_layer\\\"\\n\\n\\ndef test_chatgpt_pro_video_generation_is_marked_unavailable_in_assembly_notes(tmp_path):\\n    plan = build_imported_clip_assembly_plan(_production_jobs(), imported_root=tmp_path)\\n\\n    openai_note = next(note for note in plan[\\\"provider_notes\\\"] if note[\\\"provider\\\"] == \\\"chatgpt_pro_sora\\\")\\n\\n    assert openai_note[\\\"available_for_new_video_generation\\\"] is False\\n    assert \\\"Sora web and app experiences were discontinued on April 26, 2026\\\" in openai_note[\\\"evidence\\\"]\\n    assert openai_note[\\\"decision\\\"] == \\\"do_not_use_for_new_video_generation\\\"\\n\",\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_imported_clip_assembler.py\"}"}}], "timestamp": "2026-05-23T13:50:28.266913"}
{"role": "tool", "name": "write_file", "content": "{\"bytes_written\": 3634, \"dirs_created\": true, \"lint\": {\"status\": \"ok\", \"output\": \"\"}, \"lsp_diagnostics\": \"LSP diagnostics introduced by this edit:\\n<diagnostics file=\\\"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_imported_clip_assembler.py\\\">\\nERROR [3:6] Import \\\"autoshorts.imported_clip_assembler\\\" could not be resolved [reportMissingImports] (Pyright)\\n</diagnostics>\"}", "tool_call_id": "call_qyI9CemED0demRrGiNvzzKC3", "timestamp": "2026-05-23T13:50:28.266913"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_hWOUfJESh35mDkXKSlaxNZlW", "call_id": "call_hWOUfJESh35mDkXKSlaxNZlW", "response_item_id": "fc_0d1a4d10654d56b4016a1193e233a48191baf0e3ade4eea4b5", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"pytest tests/test_imported_clip_assembler.py -q\",\"timeout\":120,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}"}}], "timestamp": "2026-05-23T13:50:28.266913"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \"==================================== ERRORS ====================================\\n____________ ERROR collecting tests/test_imported_clip_assembler.py ____________\\nImportError while importing test module '/home/agent/jarvis_runtime/AutoShortsBot/tests/test_imported_clip_assembler.py'.\\nHint: make sure your test modules/packages have valid Python names.\\nTraceback:\\n../../.local/share/uv/python/cpython-3.11.15-linux-x86_64-gnu/lib/python3.11/importlib/__init__.py:126: in import_module\\n    return _bootstrap._gcd_import(name[level:], package, level)\\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\ntests/test_imported_clip_assembler.py:3: in <module>\\n    from autoshorts.imported_clip_assembler import build_imported_clip_assembly_plan, discover_imported_ai_clips\\nE   ModuleNotFoundError: No module named 'autoshorts.imported_clip_assembler'\\n=========================== short test summary info ============================\\nERROR tests/test_imported_clip_assembler.py\\n!!!!!!!!!!!!!!!!!!!! Interrupted: 1 error during collection !!!!!!!!!!!!!!!!!!!!\\n1 error in 0.10s\", \"exit_code\": 2, \"error\": null}", "tool_call_id": "call_hWOUfJESh35mDkXKSlaxNZlW", "timestamp": "2026-05-23T13:50:28.266913"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_pEAAx8gIjsYEtAkB5d4fV4Xc", "call_id": "call_pEAAx8gIjsYEtAkB5d4fV4Xc", "response_item_id": "fc_0d1a4d10654d56b4016a1193e869b4819196c468c97dcd5762", "type": "function", "function": {"name": "write_file", "arguments": "{\"content\":\"\\\"\\\"\\\"Assemble imported free-tier AI clips with local renderer fallbacks.\\n\\nThe module builds a deterministic assembly plan. It does not buy credits, call\\npaid APIs, or automate browser accounts. Human-generated/free-tier clips can be\\nplaced under data/imported_ai_clips/<video_id>/<scene_id>.mp4 and then combined\\nwith local mechanism/caption rendering in a later assembly step.\\n\\\"\\\"\\\"\\n\\nfrom __future__ import annotations\\n\\nimport json\\nfrom pathlib import Path\\nfrom typing import Any\\n\\nfrom autoshorts.script_drafts import _slug\\n\\nVIDEO_EXTENSIONS = {\\\".mp4\\\", \\\".mov\\\", \\\".webm\\\", \\\".mkv\\\"}\\nAI_VIDEO_MODES = {\\\"cinematic_ai_video\\\"}\\nLOCAL_LAYER_MODES = {\\\"mechanism_animation\\\", \\\"kinetic_text_overlay\\\", \\\"screen_recording_simulation\\\", \\\"animated_card\\\"}\\n\\nCHATGPT_PRO_SORA_NOTE = {\\n    \\\"provider\\\": \\\"chatgpt_pro_sora\\\",\\n    \\\"available_for_new_video_generation\\\": False,\\n    \\\"decision\\\": \\\"do_not_use_for_new_video_generation\\\",\\n    \\\"evidence\\\": (\\n        \\\"OpenAI Help Center states: Sora web and app experiences were discontinued on April 26, 2026; \\\"\\n        \\\"Sora API will be discontinued on September 24, 2026; current ChatGPT credits can only be used with Codex and ChatGPT for Excel.\\\"\\n    ),\\n    \\\"source_urls\\\": [\\n        \\\"https://help.openai.com/en/articles/20001152-what-to-know-about-the-sora-discontinuation\\\",\\n        \\\"https://help.openai.com/en/articles/12642688-using-credits-for-flexible-usage-in-chatgpt-freegopluspro\\\",\\n    ],\\n}\\n\\n\\ndef discover_imported_ai_clips(video_id: str, imported_root: Path = Path(\\\"data/imported_ai_clips\\\")) -> dict[str, Path]:\\n    \\\"\\\"\\\"Return imported clip files keyed by scene_id for a video.\\\"\\\"\\\"\\n    clip_dir = imported_root / video_id\\n    if not clip_dir.exists():\\n        return {}\\n    clips: dict[str, Path] = {}\\n    for path in sorted(clip_dir.iterdir()):\\n        if path.is_file() and path.suffix.lower() in VIDEO_EXTENSIONS and path.stem.startswith(\\\"scene_\\\"):\\n            clips[path.stem] = path\\n    return clips\\n\\n\\ndef _render_jobs(production_jobs: dict[str, Any]) -> list[dict[str, Any]]:\\n    return [job for job in production_jobs[\\\"jobs\\\"] if job.get(\\\"provider\\\") in {\\\"local_renderer\\\", \\\"local_ffmpeg\\\"}]\\n\\n\\ndef _video_filename(video: dict[str, Any]) -> str:\\n    title_slug = _slug(video[\\\"title\\\"])\\n    video_id = video[\\\"id\\\"]\\n    if video_id.endswith(title_slug):\\n        return f\\\"{video_id}.json\\\"\\n    return f\\\"{video_id}-{title_slug}.json\\\"\\n\\n\\ndef _scene_plan(job: dict[str, Any], video_id: str, imported_clips: dict[str, Path], imported_root: Path) -> dict[str, Any]:\\n    scene_id = job[\\\"scene_id\\\"]\\n    asset_mode = job[\\\"asset_mode\\\"]\\n    base = {\\n        \\\"scene_id\\\": scene_id,\\n        \\\"asset_mode\\\": asset_mode,\\n        \\\"duration_seconds\\\": job[\\\"duration_seconds\\\"],\\n        \\\"overlay_text\\\": job.get(\\\"overlay_text\\\", \\\"\\\"),\\n        \\\"captions_added_locally\\\": True,\\n    }\\n\\n    if asset_mode in AI_VIDEO_MODES:\\n        imported_path = imported_clips.get(scene_id)\\n        if imported_path:\\n            return {\\n                **base,\\n                \\\"source\\\": \\\"imported_ai_clip\\\",\\n                \\\"clip_path\\\": str(imported_path),\\n                \\\"role\\\": \\\"realistic_broll_under_local_captions\\\",\\n                \\\"validation_required\\\": [\\\"duration\\\", \\\"aspect_ratio\\\", \\\"watermark_check\\\", \\\"no_baked_caption_check\\\"],\\n            }\\n        return {\\n            **base,\\n            \\\"source\\\": \\\"local_renderer_fallback\\\",\\n            \\\"missing_expected_clip\\\": str(imported_root / video_id / f\\\"{scene_id}.mp4\\\"),\\n            \\\"role\\\": \\\"placeholder_until_free_tier_clip_is_imported\\\",\\n        }\\n\\n    if asset_mode in LOCAL_LAYER_MODES:\\n        return {\\n            **base,\\n            \\\"source\\\": \\\"local_renderer\\\",\\n            \\\"role\\\": \\\"mechanism_or_caption_layer\\\",\\n            \\\"execution_mode\\\": job.get(\\\"execution_mode\\\", \\\"local_motion\\\"),\\n        }\\n\\n    return {\\n        **base,\\n        \\\"source\\\": \\\"local_renderer_fallback\\\",\\n        \\\"role\\\": \\\"unknown_mode_local_safe_default\\\",\\n    }\\n\\n\\ndef build_imported_clip_assembly_plan(\\n    production_jobs: dict[str, Any],\\n    imported_root: Path = Path(\\\"data/imported_ai_clips\\\"),\\n) -> dict[str, Any]:\\n    \\\"\\\"\\\"Build a plan that swaps imported realistic clips into local assembly.\\\"\\\"\\\"\\n    video = production_jobs[\\\"video\\\"]\\n    video_id = video[\\\"id\\\"]\\n    imported_clips = discover_imported_ai_clips(video_id, imported_root)\\n    scenes = [_scene_plan(job, video_id, imported_clips, imported_root) for job in _render_jobs(production_jobs)]\\n    return {\\n        \\\"schema_version\\\": \\\"imported_clip_assembly.v1\\\",\\n        \\\"video\\\": video,\\n        \\\"budget_policy\\\": {\\n            \\\"paid_video_credits_allowed\\\": False,\\n            \\\"paid_openai_video_generation_available\\\": False,\\n            \\\"manual_free_tier_import_only\\\": True,\\n        },\\n        \\\"provider_notes\\\": [CHATGPT_PRO_SORA_NOTE],\\n        \\\"imported_root\\\": str(imported_root),\\n        \\\"final_assembly\\\": \\\"local_ffmpeg\\\",\\n        \\\"scenes\\\": scenes,\\n        \\\"summary\\\": {\\n            \\\"imported_ai_clip_count\\\": sum(1 for scene in scenes if scene[\\\"source\\\"] == \\\"imported_ai_clip\\\"),\\n            \\\"local_fallback_count\\\": sum(1 for scene in scenes if scene[\\\"source\\\"] == \\\"local_renderer_fallback\\\"),\\n            \\\"local_renderer_count\\\": sum(1 for scene in scenes if scene[\\\"source\\\"] == \\\"local_renderer\\\"),\\n        },\\n    }\\n\\n\\ndef write_imported_clip_assembly_plans(\\n    production_jobs_list: list[dict[str, Any]],\\n    output_dir: Path,\\n    imported_root: Path = Path(\\\"data/imported_ai_clips\\\"),\\n) -> list[Path]:\\n    \\\"\\\"\\\"Write assembly plans as JSON files.\\\"\\\"\\\"\\n    output_dir.mkdir(parents=True, exist_ok=True)\\n    paths: list[Path] = []\\n    for production_jobs in production_jobs_list:\\n        plan = build_imported_clip_assembly_plan(production_jobs, imported_root=imported_root)\\n        path = output_dir / _video_filename(plan[\\\"video\\\"])\\n        path.write_text(json.dumps(plan, indent=2, ensure_ascii=False) + \\\"\\\\n\\\", encoding=\\\"utf-8\\\")\\n        paths.append(path)\\n    return paths\\n\",\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/imported_clip_assembler.py\"}"}}], "timestamp": "2026-05-23T13:50:28.266913"}
{"role": "tool", "name": "write_file", "content": "{\"bytes_written\": 5808, \"dirs_created\": true, \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_pEAAx8gIjsYEtAkB5d4fV4Xc", "timestamp": "2026-05-23T13:50:28.266913"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_dhleUTNwHseu1BBAYoGsEXoB", "call_id": "call_dhleUTNwHseu1BBAYoGsEXoB", "response_item_id": "fc_0d1a4d10654d56b4016a11940a675c8191a18820d93dea6763", "type": "function", "function": {"name": "write_file", "arguments": "{\"content\":\"\\\"\\\"\\\"Generate imported/free-tier AI clip assembly plans.\\\"\\\"\\\"\\n\\nfrom __future__ import annotations\\n\\nimport argparse\\nimport json\\nimport sys\\nfrom pathlib import Path\\n\\nPROJECT_ROOT = Path(__file__).resolve().parents[1]\\nif str(PROJECT_ROOT) not in sys.path:\\n    sys.path.insert(0, str(PROJECT_ROOT))\\n\\nfrom autoshorts.imported_clip_assembler import write_imported_clip_assembly_plans\\n\\n\\ndef _load_jobs(path: Path) -> list[dict]:\\n    files = sorted(path.glob(\\\"*.json\\\")) if path.is_dir() else [path]\\n    return [json.loads(file.read_text(encoding=\\\"utf-8\\\")) for file in files]\\n\\n\\ndef main() -> None:\\n    parser = argparse.ArgumentParser(description=\\\"Generate assembly plans for imported free-tier AI clips.\\\")\\n    parser.add_argument(\\\"--jobs\\\", default=\\\"data/free_production_jobs/mechanism_pilots\\\")\\n    parser.add_argument(\\\"--imported-root\\\", default=\\\"data/imported_ai_clips\\\")\\n    parser.add_argument(\\\"--out\\\", default=\\\"data/imported_clip_assembly_plans/mechanism_pilots\\\")\\n    args = parser.parse_args()\\n\\n    production_jobs = _load_jobs(Path(args.jobs))\\n    paths = write_imported_clip_assembly_plans(\\n        production_jobs,\\n        Path(args.out),\\n        imported_root=Path(args.imported_root),\\n    )\\n    print(f\\\"Generated {len(paths)} imported clip assembly plans in {args.out}\\\")\\n    for path in paths:\\n        print(path)\\n\\n\\nif __name__ == \\\"__main__\\\":\\n    main()\\n\",\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/scripts/generate_imported_clip_assembly_plans.py\"}"}}], "timestamp": "2026-05-23T13:50:28.266913"}
{"role": "tool", "name": "write_file", "content": "{\"bytes_written\": 1350, \"dirs_created\": true, \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_dhleUTNwHseu1BBAYoGsEXoB", "timestamp": "2026-05-23T13:50:28.266913"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_16bcoFNEnt53WKaoa0zavOy7", "call_id": "call_16bcoFNEnt53WKaoa0zavOy7", "response_item_id": "fc_0d1a4d10654d56b4016a119415d86c8191a125640f228ce083", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"pytest tests/test_imported_clip_assembler.py -q\",\"timeout\":120,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}"}}], "timestamp": "2026-05-23T13:50:28.266913"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \"...                                                                      [100%]\\n3 passed in 0.03s\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_16bcoFNEnt53WKaoa0zavOy7", "timestamp": "2026-05-23T13:50:28.266913"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_TSqDRlwI9ng1Ig6MjhwnlZw2", "call_id": "call_TSqDRlwI9ng1Ig6MjhwnlZw2", "response_item_id": "fc_0d1a4d10654d56b4016a11941c33d0819184d6ebeac361675d", "type": "function", "function": {"name": "todo", "arguments": "{\"merge\":true,\"todos\":[{\"content\":\"Aktuelle ChatGPT Pro Video-/Sora-Leistungen prüfen\",\"id\":\"chatgpt-pro\",\"status\":\"completed\"},{\"content\":\"TDD für Imported AI Clip Assembler schreiben und RED verifizieren\",\"id\":\"tdd-import\",\"status\":\"completed\"},{\"content\":\"Imported AI Clip Assembler implementieren\",\"id\":\"build-import\",\"status\":\"in_progress\"}]}"}}], "timestamp": "2026-05-23T13:50:28.266913"}
{"role": "tool", "name": "todo", "content": "{\"todos\": [{\"id\": \"chatgpt-pro\", \"content\": \"Aktuelle ChatGPT Pro Video-/Sora-Leistungen prüfen\", \"status\": \"completed\"}, {\"id\": \"tdd-import\", \"content\": \"TDD für Imported AI Clip Assembler schreiben und RED verifizieren\", \"status\": \"completed\"}, {\"id\": \"build-import\", \"content\": \"Imported AI Clip Assembler implementieren\", \"status\": \"in_progress\"}, {\"id\": \"verify\", \"content\": \"Tests/Artefakte/Git-Status verifizieren\", \"status\": \"pending\"}], \"summary\": {\"total\": 4, \"pending\": 1, \"in_progress\": 1, \"completed\": 2, \"cancelled\": 0}}", "tool_call_id": "call_TSqDRlwI9ng1Ig6MjhwnlZw2", "timestamp": "2026-05-23T13:50:28.266913"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_Ul6e0COcbJrdRdQKoSFYuwIS", "call_id": "call_Ul6e0COcbJrdRdQKoSFYuwIS", "response_item_id": "fc_0d1a4d10654d56b4016a1194210788819197e73fe7ed3cf451", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"python scripts/generate_imported_clip_assembly_plans.py --jobs data/free_production_jobs/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.json --out data/imported_clip_assembly_plans/mechanism_pilots && pytest tests/ -q\",\"timeout\":300,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}"}}], "timestamp": "2026-05-23T13:50:28.266913"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \"Generated 1 imported clip assembly plans in data/imported_clip_assembly_plans/mechanism_pilots\\ndata/imported_clip_assembly_plans/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.json\\n..........................................................               [100%]\\n58 passed in 3.39s\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_Ul6e0COcbJrdRdQKoSFYuwIS", "timestamp": "2026-05-23T13:50:28.266913"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_WrexHwJfaY6qGUJx8OQmUb3X", "call_id": "call_WrexHwJfaY6qGUJx8OQmUb3X", "response_item_id": "fc_0d1a4d10654d56b4016a119452bc148191b679665ce595e0d4", "type": "function", "function": {"name": "read_file", "arguments": "{\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/data/imported_clip_assembly_plans/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.json\",\"limit\":220}"}}], "timestamp": "2026-05-23T13:50:28.266913"}
{"role": "tool", "name": "read_file", "content": "{\"content\": \"     1|{\\n     2|  \\\"schema_version\\\": \\\"imported_clip_assembly.v1\\\",\\n     3|  \\\"video\\\": {\\n     4|    \\\"id\\\": \\\"hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann\\\",\\n     5|    \\\"title\\\": \\\"Warum ein billiges Auto teuer sein kann\\\",\\n     6|    \\\"pillar\\\": \\\"hidden_money_systems\\\",\\n     7|    \\\"duration_ms\\\": 34000,\\n     8|    \\\"aspect_ratio\\\": \\\"9:16\\\",\\n     9|    \\\"resolution\\\": {\\n    10|      \\\"width\\\": 1080,\\n    11|      \\\"height\\\": 1920\\n    12|    },\\n    13|    \\\"fps\\\": 30\\n    14|  },\\n    15|  \\\"budget_policy\\\": {\\n    16|    \\\"paid_video_credits_allowed\\\": false,\\n    17|    \\\"paid_openai_video_generation_available\\\": false,\\n    18|    \\\"manual_free_tier_import_only\\\": true\\n    19|  },\\n    20|  \\\"provider_notes\\\": [\\n    21|    {\\n    22|      \\\"provider\\\": \\\"chatgpt_pro_sora\\\",\\n    23|      \\\"available_for_new_video_generation\\\": false,\\n    24|      \\\"decision\\\": \\\"do_not_use_for_new_video_generation\\\",\\n    25|      \\\"evidence\\\": \\\"OpenAI Help Center states: Sora web and app experiences were discontinued on April 26, 2026; Sora API will be discontinued on September 24, 2026; current ChatGPT credits can only be used with Codex and ChatGPT for Excel.\\\",\\n    26|      \\\"source_urls\\\": [\\n    27|        \\\"https://help.openai.com/en/articles/20001152-what-to-know-about-the-sora-discontinuation\\\",\\n    28|        \\\"https://help.openai.com/en/articles/12642688-using-credits-for-flexible-usage-in-chatgpt-freegopluspro\\\"\\n    29|      ]\\n    30|    }\\n    31|  ],\\n    32|  \\\"imported_root\\\": \\\"data/imported_ai_clips\\\",\\n    33|  \\\"final_assembly\\\": \\\"local_ffmpeg\\\",\\n    34|  \\\"scenes\\\": [\\n    35|    {\\n    36|      \\\"scene_id\\\": \\\"scene_01\\\",\\n    37|      \\\"asset_mode\\\": \\\"cinematic_ai_video\\\",\\n    38|      \\\"duration_seconds\\\": 1.4,\\n    39|      \\\"overlay_text\\\": \\\"Dieser Occasion-Käufer denkt, er spart 4'000 Franken.\\\",\\n    40|      \\\"captions_added_locally\\\": true,\\n    41|      \\\"source\\\": \\\"local_renderer_fallback\\\",\\n    42|      \\\"missing_expected_clip\\\": \\\"data/imported_ai_clips/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann/scene_01.mp4\\\",\\n    43|      \\\"role\\\": \\\"placeholder_until_free_tier_clip_is_imported\\\"\\n    44|    },\\n    45|    {\\n    46|      \\\"scene_id\\\": \\\"scene_02\\\",\\n    47|      \\\"asset_mode\\\": \\\"cinematic_ai_video\\\",\\n    48|      \\\"duration_seconds\\\": 3.6,\\n    49|      \\\"overlay_text\\\": \\\"Das sieht harmlos aus, bis du den Mechanismus dahinter siehst.\\\",\\n    50|      \\\"captions_added_locally\\\": true,\\n    51|      \\\"source\\\": \\\"local_renderer_fallback\\\",\\n    52|      \\\"missing_expected_clip\\\": \\\"data/imported_ai_clips/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann/scene_02.mp4\\\",\\n    53|      \\\"role\\\": \\\"placeholder_until_free_tier_clip_is_imported\\\"\\n    54|    },\\n    55|    {\\n    56|      \\\"scene_id\\\": \\\"scene_03\\\",\\n    57|      \\\"asset_mode\\\": \\\"mechanism_animation\\\",\\n    58|      \\\"duration_seconds\\\": 13,\\n    59|      \\\"overlay_text\\\": \\\"Röntgenblick durch Preis, Reparaturrisiko, Standtage, Händler-Marge…\\\",\\n    60|      \\\"captions_added_locally\\\": true,\\n    61|      \\\"source\\\": \\\"local_renderer\\\",\\n    62|      \\\"role\\\": \\\"mechanism_or_caption_layer\\\",\\n    63|      \\\"execution_mode\\\": \\\"mechanism_reveal_animation\\\"\\n    64|    },\\n    65|    {\\n    66|      \\\"scene_id\\\": \\\"scene_04\\\",\\n    67|      \\\"asset_mode\\\": \\\"mechanism_animation\\\",\\n    68|      \\\"duration_seconds\\\": 10,\\n    69|      \\\"overlay_text\\\": \\\"Der teuerste Fehler ist nicht der Kaufpreis, sondern der Zeitpunkt.\\\",\\n    70|      \\\"captions_added_locally\\\": true,\\n    71|      \\\"source\\\": \\\"local_renderer\\\",\\n    72|      \\\"role\\\": \\\"mechanism_or_caption_layer\\\",\\n    73|      \\\"execution_mode\\\": \\\"mechanism_reveal_animation\\\"\\n    74|    },\\n    75|    {\\n    76|      \\\"scene_id\\\": \\\"scene_05\\\",\\n    77|      \\\"asset_mode\\\": \\\"kinetic_text_overlay\\\",\\n    78|      \\\"duration_seconds\\\": 6,\\n    79|      \\\"overlay_text\\\": \\\"Morgen zeige ich das nächste versteckte System, bevor es dich Geld…\\\",\\n    80|      \\\"captions_added_locally\\\": true,\\n    81|      \\\"source\\\": \\\"local_renderer\\\",\\n    82|      \\\"role\\\": \\\"mechanism_or_caption_layer\\\",\\n    83|      \\\"execution_mode\\\": \\\"kinetic_typography\\\"\\n    84|    }\\n    85|  ],\\n    86|  \\\"summary\\\": {\\n    87|    \\\"imported_ai_clip_count\\\": 0,\\n    88|    \\\"local_fallback_count\\\": 2,\\n    89|    \\\"local_renderer_count\\\": 3\\n    90|  }\\n    91|}\\n    92|\", \"total_lines\": 91, \"file_size\": 3500, \"truncated\": false, \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_WrexHwJfaY6qGUJx8OQmUb3X", "timestamp": "2026-05-23T13:50:28.266913"}
{"role": "assistant", "content": "Need maybe maybe need implement actual hybrid render? But time, OK. Need final include answer. Need git commit. Check.", "reasoning": null, "finish_reason": "tool_calls", "codex_message_items": [{"type": "message", "role": "assistant", "status": "completed", "content": [{"type": "output_text", "text": "Need maybe maybe need implement actual hybrid render? But time, OK. Need final include answer. Need git commit. Check."}], "id": "msg_0d1a4d10654d56b4016a11945787288191b044807ac7dde3e0", "phase": "commentary"}], "tool_calls": [{"id": "call_GFp1GRPJgP5yY1v3p0K0hGU0", "call_id": "call_GFp1GRPJgP5yY1v3p0K0hGU0", "response_item_id": "fc_0d1a4d10654d56b4016a11945a7b788191958cc098ff9c765c", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"git diff --stat && git status --short\",\"timeout\":60,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}"}}, {"id": "call_azgHB4s5JnnkHgHdAuO1KPf7", "call_id": "call_azgHB4s5JnnkHgHdAuO1KPf7", "response_item_id": "fc_0d1a4d10654d56b4016a11945a7fac81918880b0c50be0e07d", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"git diff -- . ':!data/local_motion_renders' | grep -iE 'api[_-]?key|token|secret|password|credential' || true\",\"timeout\":60,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}"}}], "timestamp": "2026-05-23T13:50:28.266913"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \"?? autoshorts/imported_clip_assembler.py\\n?? autoshorts/review_package.py\\n?? data/imported_clip_assembly_plans/\\n?? data/telegram_reviews/\\n?? scripts/generate_imported_clip_assembly_plans.py\\n?? scripts/generate_telegram_review_packages.py\\n?? tests/test_imported_clip_assembler.py\\n?? tests/test_review_package.py\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_GFp1GRPJgP5yY1v3p0K0hGU0", "timestamp": "2026-05-23T13:50:28.266913"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \"\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_azgHB4s5JnnkHgHdAuO1KPf7", "timestamp": "2026-05-23T13:50:28.266913"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_ebt2PSWnqMriGbqAMLmpAHz2", "call_id": "call_ebt2PSWnqMriGbqAMLmpAHz2", "response_item_id": "fc_0d1a4d10654d56b4016a11945ebcd88191a770f867d772cfbf", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"git add autoshorts/imported_clip_assembler.py scripts/generate_imported_clip_assembly_plans.py tests/test_imported_clip_assembler.py data/imported_clip_assembly_plans/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.json && git diff --cached --check && git commit -m \\\"feat: add imported clip assembly plans\\\" && git status --short\",\"timeout\":300,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}"}}], "timestamp": "2026-05-23T13:50:28.266913"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \"[feat/initial-growth-engine 85ec56a] feat: add imported clip assembly plans\\n 4 files changed, 367 insertions(+)\\n create mode 100644 autoshorts/imported_clip_assembler.py\\n create mode 100644 data/imported_clip_assembly_plans/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.json\\n create mode 100644 scripts/generate_imported_clip_assembly_plans.py\\n create mode 100644 tests/test_imported_clip_assembler.py\\n?? autoshorts/review_package.py\\n?? data/telegram_reviews/\\n?? scripts/generate_telegram_review_packages.py\\n?? tests/test_review_package.py\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_ebt2PSWnqMriGbqAMLmpAHz2", "timestamp": "2026-05-23T13:50:28.266913"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_X4RpeHPK7la9nBqWXBxCeyEr", "call_id": "call_X4RpeHPK7la9nBqWXBxCeyEr", "response_item_id": "fc_0d1a4d10654d56b4016a11946540008191839e09d86acfb330", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\":\"git push\",\"timeout\":120,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}"}}], "timestamp": "2026-05-23T13:50:28.266913"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \"fatal: could not read Username for 'https://github.com': Kein passendes Gerät bzw. keine passende Adresse gefunden\", \"exit_code\": 128, \"error\": null}", "tool_call_id": "call_X4RpeHPK7la9nBqWXBxCeyEr", "timestamp": "2026-05-23T13:50:28.266913"}
{"role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [{"id": "call_3p9sXNV8B78VsV5IeO3KIkOg", "call_id": "call_3p9sXNV8B78VsV5IeO3KIkOg", "response_item_id": "fc_0d1a4d10654d56b4016a119469b6fc8191a5f0d88d8a55bdea", "type": "function", "function": {"name": "todo", "arguments": "{\"merge\":true,\"todos\":[{\"content\":\"Imported AI Clip Assembler implementieren\",\"id\":\"build-import\",\"status\":\"completed\"},{\"content\":\"Tests/Artefakte/Git-Status verifizieren\",\"id\":\"verify\",\"status\":\"completed\"}]}"}}], "timestamp": "2026-05-23T13:50:28.266913"}
{"role": "tool", "name": "todo", "content": "{\"todos\": [{\"id\": \"chatgpt-pro\", \"content\": \"Aktuelle ChatGPT Pro Video-/Sora-Leistungen prüfen\", \"status\": \"completed\"}, {\"id\": \"tdd-import\", \"content\": \"TDD für Imported AI Clip Assembler schreiben und RED verifizieren\", \"status\": \"completed\"}, {\"id\": \"build-import\", \"content\": \"Imported AI Clip Assembler implementieren\", \"status\": \"completed\"}, {\"id\": \"verify\", \"content\": \"Tests/Artefakte/Git-Status verifizieren\", \"status\": \"completed\"}], \"summary\": {\"total\": 4, \"pending\": 0, \"in_progress\": 0, \"completed\": 4, \"cancelled\": 0}}", "tool_call_id": "call_3p9sXNV8B78VsV5IeO3KIkOg", "timestamp": "2026-05-23T13:50:28.266913"}
{"role": "assistant", "content": "Weitergebaut, Sir.\n\n## Kurzantwort zu ChatGPT Pro / Video\n\nNach aktuellem OpenAI-Stand: **Nein, dein ChatGPT Pro Abo ist derzeit kein brauchbarer Video-Generator für unseren Workflow.**\n\nIch habe die aktuellen OpenAI-Seiten geprüft:\n\n## ChatGPT Pro enthält laut Pricing\n\nAuf der ChatGPT-Pricing-Seite steht bei Pro u.a.:\n\n- 5x oder 20x mehr Nutzung\n- GPT-5.5 Pro\n- maximale Codex-Aufgaben\n- unbegrenztes GPT-5.3 und Datei-Uploads\n- unbegrenzte und schnellere Bilderstellung\n- maximale Deep Research und Agentenmodus\n- maximale Erinnerung / maximaler Kontext\n- neue Funktionen als experimentelle Vorschau\n\nAber: **keine aktive neue Videogeneration als ChatGPT-Pro-Feature**.\n\n## Sora-Status\n\nOpenAI Help Center sagt aktuell:\n\n```text\nThe Sora web and app experiences were discontinued on April 26, 2026.\nThe Sora API will be discontinued on September 24, 2026.\n```\n\nZusätzlich steht im Credits-Artikel:\n\n```text\nCredits currently can only be used with Codex and ChatGPT for Excel.\n```\n\nBedeutung für uns:\n\n```text\nChatGPT Pro → sehr gut für Planung, Scripting, Prompts, Code, Bilder\nChatGPT Pro → aktuell nicht als Video-Generator für neue Clips einplanen\n```\n\nAlso: **ChatGPT Pro bleibt unser Gehirn, nicht unsere Kamera.**  \nEine sehr teure Kamera wäre es ohnehin gewesen. Charmant, aber unpraktisch.\n\n## Workflow-Entscheidung aktualisiert\n\nFür realistischere Clips bleibt der Free-Tier-Hybrid:\n\n```text\nChatGPT Pro / Hermes:\n  Script, Shot Plan, Prompts, Captions, Renderlogik\n\nPixVerse / Pika / CapCut / ggf. Hailuo-Free:\n  manuell erzeugte realistische 9:16 Clips\n\nLocal Renderer:\n  Mechanismus-Layer, Captions, SFX, Timing\n\nFFmpeg:\n  finales MP4\n```\n\nOpenAI/Sora wird im System ausdrücklich markiert als:\n\n```text\ndo_not_use_for_new_video_generation\n```\n\n## Weitergebaut: Imported AI Clip Assembler\n\nNeu implementiert:\n\n```text\nautoshorts/imported_clip_assembler.py\n```\n\nNeues CLI:\n\n```text\nscripts/generate_imported_clip_assembly_plans.py\n```\n\nNeue Tests:\n\n```text\ntests/test_imported_clip_assembler.py\n```\n\nNeues Artefakt:\n\n```text\ndata/imported_clip_assembly_plans/mechanism_pilots/\n  hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.json\n```\n\n## Was der neue Assembler macht\n\nEr prüft künftig diesen Import-Pfad:\n\n```text\ndata/imported_ai_clips/\n  hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann/\n    scene_01.mp4\n    scene_02.mp4\n```\n\nWenn Clips vorhanden sind:\n\n```text\nscene_01 → imported_ai_clip\nscene_02 → imported_ai_clip\n```\n\nWenn nicht:\n\n```text\nscene_01 → local_renderer_fallback\nscene_02 → local_renderer_fallback\n```\n\nMechanismus-Szenen bleiben lokal:\n\n```text\nscene_03 → local_renderer\nscene_04 → local_renderer\nscene_05 → local_renderer\n```\n\nAktueller Assembly-Plan sagt erwartungsgemäß:\n\n```text\nimported_ai_clip_count: 0\nlocal_fallback_count: 2\nlocal_renderer_count: 3\n```\n\nWeil noch keine PixVerse/Pika-Clips importiert wurden.\n\n## OpenAI/Sora-Hinweis im Artefakt\n\nDer Assembly-Plan enthält jetzt explizit:\n\n```json\n{\n  \"provider\": \"chatgpt_pro_sora\",\n  \"available_for_new_video_generation\": false,\n  \"decision\": \"do_not_use_for_new_video_generation\"\n}\n```\n\nMit Quellenhinweis auf:\n\n```text\nSora web/app discontinued: 2026-04-26\nSora API discontinued: 2026-09-24\nCredits currently only for Codex and ChatGPT for Excel\n```\n\n## Tests\n\nFull suite:\n\n```text\n58 passed in 3.39s\n```\n\n## Git\n\nNeuer lokaler Commit:\n\n```text\n85ec56a feat: add imported clip assembly plans\n```\n\nAktueller lokaler Commit-Verlauf:\n\n```text\n85ec56a feat: add imported clip assembly plans\n9f41a9f feat: add free ai video handoff specs\nff5df62 feat: add free local motion renderer\n```\n\nPush weiterhin blockiert wegen fehlender GitHub-Credentials:\n\n```text\nfatal: could not read Username for 'https://github.com'\n```\n\nDie versehentlichen Telegram-Review-Dateien bleiben untracked und unberührt.\n\n## Nächster praktischer Produktionsschritt\n\nJetzt brauchen wir konkret zwei manuell generierte Clips:\n\n```text\nscene_01.mp4\nscene_02.mp4\n```\n\nAm besten zuerst in PixVerse, sonst Pika.\n\nAblage danach:\n\n```text\ndata/imported_ai_clips/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann/scene_01.mp4\ndata/imported_ai_clips/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann/scene_02.mp4\n```\n\nDann kann ich den nächsten Baustein bauen:\n\n```text\nHybrid Final Renderer:\nimported AI clips\n+ local mechanism scenes\n+ local kinetic captions\n+ FFmpeg assembly\n→ finales MP4\n```", "reasoning": null, "finish_reason": "stop", "codex_message_items": [{"type": "message", "role": "assistant", "status": "completed", "content": [{"type": "output_text", "text": "Weitergebaut, Sir.\n\n## Kurzantwort zu ChatGPT Pro / Video\n\nNach aktuellem OpenAI-Stand: **Nein, dein ChatGPT Pro Abo ist derzeit kein brauchbarer Video-Generator für unseren Workflow.**\n\nIch habe die aktuellen OpenAI-Seiten geprüft:\n\n## ChatGPT Pro enthält laut Pricing\n\nAuf der ChatGPT-Pricing-Seite steht bei Pro u.a.:\n\n- 5x oder 20x mehr Nutzung\n- GPT-5.5 Pro\n- maximale Codex-Aufgaben\n- unbegrenztes GPT-5.3 und Datei-Uploads\n- unbegrenzte und schnellere Bilderstellung\n- maximale Deep Research und Agentenmodus\n- maximale Erinnerung / maximaler Kontext\n- neue Funktionen als experimentelle Vorschau\n\nAber: **keine aktive neue Videogeneration als ChatGPT-Pro-Feature**.\n\n## Sora-Status\n\nOpenAI Help Center sagt aktuell:\n\n```text\nThe Sora web and app experiences were discontinued on April 26, 2026.\nThe Sora API will be discontinued on September 24, 2026.\n```\n\nZusätzlich steht im Credits-Artikel:\n\n```text\nCredits currently can only be used with Codex and ChatGPT for Excel.\n```\n\nBedeutung für uns:\n\n```text\nChatGPT Pro → sehr gut für Planung, Scripting, Prompts, Code, Bilder\nChatGPT Pro → aktuell nicht als Video-Generator für neue Clips einplanen\n```\n\nAlso: **ChatGPT Pro bleibt unser Gehirn, nicht unsere Kamera.**  \nEine sehr teure Kamera wäre es ohnehin gewesen. Charmant, aber unpraktisch.\n\n## Workflow-Entscheidung aktualisiert\n\nFür realistischere Clips bleibt der Free-Tier-Hybrid:\n\n```text\nChatGPT Pro / Hermes:\n  Script, Shot Plan, Prompts, Captions, Renderlogik\n\nPixVerse / Pika / CapCut / ggf. Hailuo-Free:\n  manuell erzeugte realistische 9:16 Clips\n\nLocal Renderer:\n  Mechanismus-Layer, Captions, SFX, Timing\n\nFFmpeg:\n  finales MP4\n```\n\nOpenAI/Sora wird im System ausdrücklich markiert als:\n\n```text\ndo_not_use_for_new_video_generation\n```\n\n## Weitergebaut: Imported AI Clip Assembler\n\nNeu implementiert:\n\n```text\nautoshorts/imported_clip_assembler.py\n```\n\nNeues CLI:\n\n```text\nscripts/generate_imported_clip_assembly_plans.py\n```\n\nNeue Tests:\n\n```text\ntests/test_imported_clip_assembler.py\n```\n\nNeues Artefakt:\n\n```text\ndata/imported_clip_assembly_plans/mechanism_pilots/\n  hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.json\n```\n\n## Was der neue Assembler macht\n\nEr prüft künftig diesen Import-Pfad:\n\n```text\ndata/imported_ai_clips/\n  hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann/\n    scene_01.mp4\n    scene_02.mp4\n```\n\nWenn Clips vorhanden sind:\n\n```text\nscene_01 → imported_ai_clip\nscene_02 → imported_ai_clip\n```\n\nWenn nicht:\n\n```text\nscene_01 → local_renderer_fallback\nscene_02 → local_renderer_fallback\n```\n\nMechanismus-Szenen bleiben lokal:\n\n```text\nscene_03 → local_renderer\nscene_04 → local_renderer\nscene_05 → local_renderer\n```\n\nAktueller Assembly-Plan sagt erwartungsgemäß:\n\n```text\nimported_ai_clip_count: 0\nlocal_fallback_count: 2\nlocal_renderer_count: 3\n```\n\nWeil noch keine PixVerse/Pika-Clips importiert wurden.\n\n## OpenAI/Sora-Hinweis im Artefakt\n\nDer Assembly-Plan enthält jetzt explizit:\n\n```json\n{\n  \"provider\": \"chatgpt_pro_sora\",\n  \"available_for_new_video_generation\": false,\n  \"decision\": \"do_not_use_for_new_video_generation\"\n}\n```\n\nMit Quellenhinweis auf:\n\n```text\nSora web/app discontinued: 2026-04-26\nSora API discontinued: 2026-09-24\nCredits currently only for Codex and ChatGPT for Excel\n```\n\n## Tests\n\nFull suite:\n\n```text\n58 passed in 3.39s\n```\n\n## Git\n\nNeuer lokaler Commit:\n\n```text\n85ec56a feat: add imported clip assembly plans\n```\n\nAktueller lokaler Commit-Verlauf:\n\n```text\n85ec56a feat: add imported clip assembly plans\n9f41a9f feat: add free ai video handoff specs\nff5df62 feat: add free local motion renderer\n```\n\nPush weiterhin blockiert wegen fehlender GitHub-Credentials:\n\n```text\nfatal: could not read Username for 'https://github.com'\n```\n\nDie versehentlichen Telegram-Review-Dateien bleiben untracked und unberührt.\n\n## Nächster praktischer Produktionsschritt\n\nJetzt brauchen wir konkret zwei manuell generierte Clips:\n\n```text\nscene_01.mp4\nscene_02.mp4\n```\n\nAm besten zuerst in PixVerse, sonst Pika.\n\nAblage danach:\n\n```text\ndata/imported_ai_clips/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann/scene_01.mp4\ndata/imported_ai_clips/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann/scene_02.mp4\n```\n\nDann kann ich den nächsten Baustein bauen:\n\n```text\nHybrid Final Renderer:\nimported AI clips\n+ local mechanism scenes\n+ local kinetic captions\n+ FFmpeg assembly\n→ finales MP4\n```"}], "id": "msg_0d1a4d10654d56b4016a11946d2c388191a2137d7b7c4b0c92", "phase": "final_answer"}], "timestamp": "2026-05-23T13:50:28.266913"}