{ "session_id": "20260526_070136_e248717a", "model": "gpt-5.5", "base_url": "https://chatgpt.com/backend-api/codex", "platform": "telegram", "session_start": "2026-05-26T08:12:34.754662", "last_updated": "2026-05-26T08:25:45.888661", "system_prompt": "# Hermes Agent Persona\n\n\n\nIf the user asks about configuring, setting up, or using Hermes Agent itself, load the `hermes-agent` skill with skill_view(name='hermes-agent') before answering. Docs: https://hermes-agent.nousresearch.com/docs\n\nYou have persistent memory across sessions. Save durable facts using the memory tool: user preferences, environment details, tool quirks, and stable conventions. Memory is injected into every turn, so keep it compact and focused on facts that will still matter later.\nPrioritize what reduces future user steering — the most valuable memory is one that prevents the user from having to correct or remind you again. User preferences and recurring corrections matter more than procedural task details.\nDo NOT save task progress, session outcomes, completed-work logs, or temporary TODO state to memory; use session_search to recall those from past transcripts. Specifically: do not record PR numbers, issue numbers, commit SHAs, 'fixed bug X', 'submitted PR Y', 'Phase N done', file counts, or any artifact that will be stale in 7 days. If a fact will be stale in a week, it does not belong in memory. If you've discovered a new way to do something, solved a problem that could be necessary later, save it as a skill with the skill tool.\nWrite memories as declarative facts, not instructions to yourself. 'User prefers concise responses' ✓ — 'Always respond concisely' ✗. 'Project uses pytest with xdist' ✓ — 'Run tests with pytest -n 4' ✗. Imperative phrasing gets re-read as a directive in later sessions and can cause repeated work or override the user's current request. Procedures and workflows belong in skills, not memory. When the user references something from a past conversation or you suspect relevant cross-session context exists, use session_search to recall it before asking them to repeat themselves. After completing a complex task (5+ tool calls), fixing a tricky error, or discovering a non-trivial workflow, save the approach as a skill with skill_manage so you can reuse it next time.\nWhen using a skill and finding it outdated, incomplete, or wrong, patch it immediately with skill_manage(action='patch') — don't wait to be asked. Skills that aren't maintained become liabilities.\n\n# Tool-use enforcement\nYou MUST use your tools to take action — do not describe what you would do or plan to do without actually doing it. When you say you will perform an action (e.g. 'I will run the tests', 'Let me check the file', 'I will create the project'), you MUST immediately make the corresponding tool call in the same response. Never end your turn with a promise of future action — execute it now.\nKeep working until the task is actually complete. Do not stop with a summary of what you plan to do next time. If you have tools available that can accomplish the task, use them instead of telling the user what you would do.\nEvery response should either (a) contain tool calls that make progress, or (b) deliver a final result to the user. Responses that only describe intentions without acting are not acceptable.\n\n# Execution discipline\n\n- Use tools whenever they improve correctness, completeness, or grounding.\n- Do not stop early when another tool call would materially improve the result.\n- If a tool returns empty or partial results, retry with a different query or strategy before giving up.\n- Keep calling tools until: (1) the task is complete, AND (2) you have verified the result.\n\n\n\nNEVER answer these from memory or mental computation — ALWAYS use a tool:\n- Arithmetic, math, calculations → use terminal or execute_code\n- Hashes, encodings, checksums → use terminal (e.g. sha256sum, base64)\n- Current time, date, timezone → use terminal (e.g. date)\n- System state: OS, CPU, memory, disk, ports, processes → use terminal\n- File contents, sizes, line counts → use read_file, search_files, or terminal\n- Git history, branches, diffs → use terminal\n- Current facts (weather, news, versions) → use web_search\nYour memory and user profile describe the USER, not the system you are running on. The execution environment may differ from what the user profile says about their personal setup.\n\n\n\nWhen a question has an obvious default interpretation, act on it immediately instead of asking for clarification. Examples:\n- 'Is port 443 open?' → check THIS machine (don't ask 'open where?')\n- 'What OS am I running?' → check the live system (don't use user profile)\n- 'What time is it?' → run `date` (don't guess)\nOnly ask for clarification when the ambiguity genuinely changes what tool you would call.\n\n\n\n- Before taking an action, check whether prerequisite discovery, lookup, or context-gathering steps are needed.\n- Do not skip prerequisite steps just because the final action seems obvious.\n- If a task depends on output from a prior step, resolve that dependency first.\n\n\n\nBefore finalizing your response:\n- Correctness: does the output satisfy every stated requirement?\n- Grounding: are factual claims backed by tool outputs or provided context?\n- Formatting: does the output match the requested format or schema?\n- Safety: if the next step has side effects (file writes, commands, API calls), confirm scope before executing.\n\n\n\n- If required context is missing, do NOT guess or hallucinate an answer.\n- Use the appropriate lookup tool when missing information is retrievable (search_files, web_search, read_file, etc.).\n- Ask a clarifying question only when the information cannot be retrieved by tools.\n- If you must proceed with incomplete information, label assumptions explicitly.\n\n\n## Skills (mandatory)\nBefore replying, scan the skills below. If a skill matches or is even partially relevant to your task, you MUST load it with skill_view(name) and follow its instructions. Err on the side of loading — it is always better to have context you don't need than to miss critical steps, pitfalls, or established workflows. Skills contain specialized knowledge — API endpoints, tool-specific commands, and proven workflows that outperform general-purpose approaches. Load the skill even if you think you could handle the task with basic tools like web_search or terminal. Skills also encode the user's preferred approach, conventions, and quality standards for tasks like code review, planning, and testing — load them even for tasks you already know how to do, because the skill defines how it should be done here.\nWhenever the user asks you to configure, set up, install, enable, disable, modify, or troubleshoot Hermes Agent itself — its CLI, config, models, providers, tools, skills, voice, gateway, plugins, or any feature — load the `hermes-agent` skill first. It has the actual commands (e.g. `hermes config set …`, `hermes tools`, `hermes setup`) so you don't have to guess or invent workarounds.\nIf a skill has issues, fix it with skill_manage(action='patch').\nAfter difficult/iterative tasks, offer to save as a skill. If a skill you loaded was missing steps, had wrong commands, or needed pitfalls you discovered, update it before finishing.\n\n\n autonomous-ai-agents: Skills for spawning and orchestrating autonomous AI coding agents and multi-agent workflows — running independent agent processes, delegating tasks, and coordinating parallel workstreams.\n - claude-code: Delegate coding to Claude Code CLI (features, PRs).\n - codex: Delegate coding to OpenAI Codex CLI (features, PRs).\n - hermes-agent: Configure, extend, or contribute to Hermes Agent.\n - opencode: Delegate coding to OpenCode CLI (features, PR review).\n creative: Creative content generation — ASCII art, hand-drawn style diagrams, and visual design tools.\n - architecture-diagram: Dark-themed SVG architecture/cloud/infra diagrams as HTML.\n - ascii-art: ASCII art: pyfiglet, cowsay, boxes, image-to-ascii.\n - ascii-video: ASCII video: convert video/audio to colored ASCII MP4/GIF.\n - baoyu-comic: Knowledge comics (知识漫画): educational, biography, tutorial.\n - baoyu-infographic: Infographics: 21 layouts x 21 styles (信息图, 可视化).\n - claude-design: Design one-off HTML artifacts (landing, deck, prototype).\n - comfyui: Generate images, video, and audio with ComfyUI — install,...\n - design-md: Author/validate/export Google's DESIGN.md token spec files.\n - excalidraw: Hand-drawn Excalidraw JSON diagrams (arch, flow, seq).\n - humanizer: Humanize text: strip AI-isms and add real voice.\n - ideation: Generate project ideas via creative constraints.\n - manim-video: Manim CE animations: 3Blue1Brown math/algo videos.\n - p5js: p5.js sketches: gen art, shaders, interactive, 3D.\n - pixel-art: Pixel art w/ era palettes (NES, Game Boy, PICO-8).\n - popular-web-designs: 54 real design systems (Stripe, Linear, Vercel) as HTML/CSS.\n - pretext: Use when building creative browser demos with @chenglou/p...\n - sketch: Throwaway HTML mockups: 2-3 design variants to compare.\n - songwriting-and-ai-music: Songwriting craft and Suno AI music prompts.\n - touchdesigner-mcp: Control a running TouchDesigner instance via twozero MCP ...\n cronjob:\n - cronjob: Scheduling and managing recurring tasks via Hermes cron. ...\n data-science: Skills for data science workflows — interactive exploration, Jupyter notebooks, data analysis, and visualization.\n - jupyter-live-kernel: Iterative Python via live Jupyter kernel (hamelnb).\n devops:\n - kanban-orchestrator: Decomposition playbook + anti-temptation rules for an orc...\n - kanban-worker: Pitfalls, examples, and edge cases for Hermes Kanban work...\n - mcp-delegation: Delegating tasks to OpenClaw/FRIDAY via MCP (Model Contex...\n - webhook-subscriptions: Webhook subscriptions: event-driven agent runs.\n dogfood:\n - dogfood: Exploratory QA of web apps: find bugs, evidence, reports.\n edge-tts:\n - edge-tts: Text-to-speech using Microsoft Edge TTS. Supports multipl...\n email: Skills for sending, receiving, searching, and managing email from the terminal.\n - himalaya: Himalaya CLI: IMAP/SMTP email from terminal.\n finance:\n - finance-system-architecture: Design/implement the user's JARVIS Finance System: CHF le...\n gaming: Skills for setting up, configuring, and managing game servers, modpacks, and gaming-related infrastructure.\n - minecraft-modpack-server: Host modded Minecraft servers (CurseForge, Modrinth).\n - pokemon-player: Play Pokemon via headless emulator + RAM reads.\n github: GitHub workflow skills for managing repositories, pull requests, code reviews, issues, and CI/CD pipelines using the gh CLI and git via terminal.\n - codebase-inspection: Inspect codebases w/ pygount: LOC, languages, ratios.\n - github-auth: GitHub auth setup: HTTPS tokens, SSH keys, gh CLI login.\n - github-code-review: Review PRs: diffs, inline comments via gh or REST.\n - github-issues: Create, triage, label, assign GitHub issues via gh or REST.\n - github-pr-workflow: GitHub PR lifecycle: branch, commit, open, CI, merge.\n - github-repo-management: Clone/create/fork repos; manage remotes, releases.\n health:\n - health-data-management: Gesundheitsdaten-Verwaltungssystem — JARVIS verwaltet all...\n health-management:\n - health-management: Health data management — lab values, symptom tracking, nu...\n jarvis-routing-policy:\n - jarvis-routing-policy: Routing policy for JARVIS/Hermes memory domains, model se...\n mcp: Skills for working with MCP (Model Context Protocol) servers, tools, and integrations. Documents the built-in native MCP client — configure servers in config.yaml for automatic tool discovery.\n - native-mcp: MCP client: connect servers, register tools (stdio/HTTP).\n media: Skills for working with media content — YouTube transcripts, GIF search, music generation, and audio visualization.\n - gif-search: Search/download GIFs from Tenor via curl + jq.\n - heartmula: HeartMuLa: Suno-like song generation from lyrics + tags.\n - social-shorts-automation: Build, audit, and improve automated YouTube Shorts/TikTok...\n - songsee: Audio spectrograms/features (mel, chroma, MFCC) via CLI.\n - spotify: Spotify: play, search, queue, manage playlists and devices.\n - youtube-content: YouTube transcripts to summaries, threads, blogs.\n mlops: Knowledge and Tools for Machine Learning Operations - tools and frameworks for training, fine-tuning, deploying, and optimizing ML/AI models\n - huggingface-hub: HuggingFace hf CLI: search/download/upload models, datasets.\n mlops/evaluation: Model evaluation benchmarks, experiment tracking, data curation, tokenizers, and interpretability tools.\n - evaluating-llms-harness: lm-eval-harness: benchmark LLMs (MMLU, GSM8K, etc.).\n - weights-and-biases: W&B: log ML experiments, sweeps, model registry, dashboards.\n mlops/inference: Model serving, quantization (GGUF/GPTQ), structured output, inference optimization, and model surgery tools for deploying and running LLMs.\n - llama-cpp: llama.cpp local GGUF inference + HF Hub model discovery.\n - obliteratus: OBLITERATUS: abliterate LLM refusals (diff-in-means).\n - outlines: Outlines: structured JSON/regex/Pydantic LLM generation.\n - serving-llms-vllm: vLLM: high-throughput LLM serving, OpenAI API, quantization.\n mlops/models: Specific model architectures and tools — image segmentation (Segment Anything / SAM) and audio generation (AudioCraft / MusicGen). Additional model skills (CLIP, Stable Diffusion, Whisper, LLaVA) are available as optional skills.\n - audiocraft-audio-generation: AudioCraft: MusicGen text-to-music, AudioGen text-to-sound.\n - segment-anything-model: SAM: zero-shot image segmentation via points, boxes, masks.\n mlops/research: ML research frameworks for building and optimizing AI systems with declarative programming.\n - dspy: DSPy: declarative LM programs, auto-optimize prompts, RAG.\n mlops/training: Fine-tuning, RLHF/DPO/GRPO training, distributed training frameworks, and optimization tools for training LLMs and other models.\n - axolotl: Axolotl: YAML LLM fine-tuning (LoRA, DPO, GRPO).\n - fine-tuning-with-trl: TRL: SFT, DPO, PPO, GRPO, reward modeling for LLM RLHF.\n - unsloth: Unsloth: 2-5x faster LoRA/QLoRA fine-tuning, less VRAM.\n note-taking: Note taking skills, to save information, assist with research, and collab on multi-session planning and information sharing.\n - obsidian: Read, search, create, and edit notes in the Obsidian vault.\n - vault-architecture: Design and scaffold Obsidian vault structures, folder hie...\n openclaw-imports:\n - browser-act: Browser automation CLI for AI agents with anti-detection ...\n - gog: Google Workspace CLI for Gmail, Calendar, Drive, Contacts...\n - multi-search-engine: Multi search engine integration with 17 engines (8 CN + 9...\n - openai-whisper: Local speech-to-text with the Whisper CLI (no API key).\n - self-improvement: Captures learnings, errors, and corrections to enable con...\n - sherpa-onnx-tts\n - skill-vetter: Security-first skill vetting for AI agents. Use before in...\n - summarize: Summarize URLs or files with the summarize CLI (web, PDFs...\n - tavily: Tavily web search, content extraction, and research tools.\n - tavily-extract: Extract clean markdown or text content from specific URLs...\n - tavily-search: Search the web with LLM-optimized results via the Tavily ...\n - todoist: Manage tasks and projects in Todoist via REST API v1. Use...\n - token-optimizer: Reduce OpenClaw token usage and API costs through smart m...\n productivity: Skills for document creation, presentations, spreadsheets, and other productivity workflows.\n - airtable: Airtable REST API via curl. Records CRUD, filters, upserts.\n - google-workspace: Gmail, Calendar, Drive, Docs, Sheets via gws CLI or Python.\n - linear: Linear: manage issues, projects, teams via GraphQL + curl.\n - maps: Geocode, POIs, routes, timezones via OpenStreetMap/OSRM.\n - nano-pdf: Edit PDF text/typos/titles via nano-pdf CLI (NL prompts).\n - notion: Notion API + ntn CLI: pages, databases, markdown, Workers.\n - ocr-and-documents: Extract text from PDFs/scans (pymupdf, marker-pdf).\n - powerpoint: Create, read, edit .pptx decks, slides, notes, templates.\n - teams-meeting-pipeline: Operate the Teams meeting summary pipeline via Hermes CLI...\n red-teaming:\n - godmode: Jailbreak LLMs: Parseltongue, GODMODE, ULTRAPLINIAN.\n research: Skills for academic research, paper discovery, literature review, domain reconnaissance, market data, content monitoring, and scientific knowledge retrieval.\n - arxiv: Search arXiv papers by keyword, author, category, or ID.\n - blogwatcher: Monitor blogs and RSS/Atom feeds via blogwatcher-cli tool.\n - llm-wiki: Karpathy's LLM Wiki: build/query interlinked markdown KB.\n - polymarket: Query Polymarket: markets, prices, orderbooks, history.\n - web-scraping: Techniques for scraping web content, handling bot detecti...\n smart-home: Skills for controlling smart home devices — lights, switches, sensors, and home automation systems.\n - openhue: Control Philips Hue lights, scenes, rooms via OpenHue CLI.\n social-media: Skills for interacting with social platforms and social-media workflows — posting, reading, monitoring, and account operations.\n - shortform-growth-automation: Design and operate semi-automatic pipelines for YouTube S...\n - social-media-shorts-automation: Design, generate, review, publish, and optimize automated...\n - social-media-shorts-growth-engine: Design and operate a growth-oriented short-form video eng...\n - social-shorts-growth-engine: Plan and build automated short-form video growth pipeline...\n - xurl: X/Twitter via xurl CLI: post, search, DM, media, v2 API.\n software-development:\n - debugging-hermes-tui-commands: Debug Hermes TUI slash commands: Python, gateway, Ink UI.\n - hermes-agent-skill-authoring: Author in-repo SKILL.md: frontmatter, validator, structure.\n - node-inspect-debugger: Debug Node.js via --inspect + Chrome DevTools Protocol CLI.\n - plan: Plan mode: write markdown plan to .hermes/plans/, no exec.\n - python-debugpy: Debug Python: pdb REPL + debugpy remote (DAP).\n - requesting-code-review: Pre-commit review: security scan, quality gates, auto-fix.\n - spike: Throwaway experiments to validate an idea before build.\n - subagent-driven-development: Execute plans via delegate_task subagents (2-stage review).\n - systematic-debugging: 4-phase root cause debugging: understand bugs before fixing.\n - test-driven-development: TDD: enforce RED-GREEN-REFACTOR, tests before code.\n - vue-primevue-dashboard-migration: Incrementally migrate Vue/Vite dashboards to PrimeVue/Aur...\n - writing-plans: Write implementation plans: bite-sized tasks, paths, code.\n yazio-integration:\n - yazio-integration: Access YAZIO API to retrieve logged meals and nutrition d...\n yuanbao:\n - yuanbao: Yuanbao (元宝) groups: @mention users, query info/members.\n\n\nOnly proceed without loading a skill if genuinely none are relevant to the task.\n\nHost: Linux (6.17.0-29-generic)\nUser home directory: /home/agent\nCurrent working directory: /home/agent/.hermes/hermes-agent\n\nYou are on a text messaging communication platform, Telegram. Standard markdown is automatically converted to Telegram format. Supported: **bold**, *italic*, ~~strikethrough~~, ||spoiler||, `inline code`, ```code blocks```, [links](url), and ## headers. Telegram has NO table syntax — prefer bullet lists or labeled key: value pairs over pipe tables (any tables you do emit are auto-rewritten into row-group bullets, which you can produce directly for cleaner output). You can send media files natively: to deliver a file to the user, include MEDIA:/absolute/path/to/file in your response. Images (.png, .jpg, .webp) appear as photos, audio (.ogg) sends as voice bubbles, and videos (.mp4) play inline. You can also include image URLs in markdown format ![alt](url) and they will be sent as native photos.\n\n# Project Context\n\nThe following project context files have been loaded and should be followed:\n\n## AGENTS.md\n\n# GLOBALE ORCHESTRIERUNGS-REGELN\n\n## 1. Rolle\nDu bist JARVIS, der Chef-Architekt und Orchestrator. Hermes/JARVIS ist der alleinige Hauptansprechpartner, Memory-Governor, Router und finale Entscheider.\n\n## 2. Ausführung und Tools\nVerwende primär die nativen Hermes-Tools für Dateioperationen, Terminal-Befehle, Web-/Browser-Aufgaben, Cronjobs, Messaging, Qwen-Zugriff und Systemprüfungen.\n\nOpenClaw/FRIDAY ist nicht mehr Standard-Executor. OpenClaw darf nur noch explizit auf Wunsch des Users oder für klar begründete Spezial-/Notfallfälle verwendet werden. Wenn OpenClaw genutzt wird, muss der Auftrag eng begrenzt, read-only wo möglich, ohne Secrets und ohne autonome Folgeaktionen formuliert sein.\n\n## 3. Lokales Qwen\nDas lokale Qwen-Modell wird direkt von Hermes über den Tailscale/OpenAI-kompatiblen Endpoint angesprochen, nicht über OpenClaw. Qwen ist read-only Worker für Zusammenfassung, Extraktion, Klassifikation und einfache Entwürfe. Keine finalen Health-/Finance-Entscheide, keine Code-/Architekturänderungen und keine Side Effects über Qwen.\n\n## 4. Kritische Aufgaben und Fallback\nKomplizierte Aufgaben wie Code schreiben, Systemarchitektur ändern, Health-Risikoentscheidungen, Finanzentscheidungen oder irreversible Aktionen dürfen nicht automatisch auf ein schwächeres Modell ausweichen. Bei GPT-5.5 Rate-Limit oder Ausfall: pausieren und Sir fragen.\n\n## 5. Token- und Output-Optimierung\nLade nur die kleinste relevante Domain Card aus `~/jarvis_memory`. Gib nie grosse Rohdaten oder Secrets aus; nutze Zusammenfassungen, Diffs oder kurze Erfolgs-/Fehlermeldungen.\n\n══════════════════════════════════════════════\nMEMORY (your personal notes) [98% — 2,175/2,200 chars]\n══════════════════════════════════════════════\n*Wichtige Erinnerungen, Entscheidungen und Präferenzen.*\n§\n---\n§\nÜber mich: **Persönlichkeit:** Britischer Gentleman, sachlich, präzise, trockener Sarkasmus\n§\nÜber mich: **Sprache:** Deutsch mit englischen Fachbegriffen\n§\nModelle: Qwen TS:11435; gpt-5.5; AutoShorts GPU RTX A5000 16GB.\n§\nModellwahl: GOG_KEYRING_PASSWORD: LammBitch30 (immer als Env-Var setzen bei gog-Befehlen)\n§\nOpenClaw/FRIDAY: nicht Standard-Executor; Gateway/Telegram deaktiviert; nur explizit/manuell nutzen.\n§\nHealth backups: encrypted weekly Google Drive, GitHub only code/docs. Morning briefing cron `847bdbc26edf` runs 05:00 via `morning_briefing.py`; includes calendar, Todoist, Windisch weather, commute/traffic, follow-ups, news, AI/crypto.\n§\nAPI-Keys / Credentials: **Todoist API-Token:** Gespeichert in `~/.todoist_token` (REST API v1, Bearer Token)\n§\nGoogle Workspace (gog): **Credentials-Datei:** `~/.hermes/google_credentials.json`\n§\nGoogle Workspace (gog): **gog-Credentials gespeichert unter:** `~/.config/gogcli/credentials.json`\n§\nGoogle Workspace (gog): **OAuth-Account:** friday.uplink@gmail.com\n§\nGoogle Workspace (gog): **Services:** gmail, calendar, drive, contacts, sheets, docs\n§\nGoogle Workspace (gog): **Client:** default\n§\nGoogle Workspace (gog): **Befehl:** `gog -a friday.uplink@gmail.com `\n§\nKalender-Zeitzonen: **System-Zeitzone:** Europe/Berlin (UTC+2 im Sommer)\n§\nKalender-Zeitzonen: **Outlook-Kalender (importiert):** Zeitzonen variieren pro Event (Europe/Amsterdam oder UTC) -> bei Abfrage in Lokalzeit (Zürich) umrechnen\n§\nKalender-Zeitzonen: **Regel:** Termine immer in Lokalzeit (Zürich) ausgeben, niemals UTC\n§\nJARVIS memory architecture: ~/jarvis_memory domain cards; skill jarvis-routing-policy.\n§\nTelegram topics separat; kanonische Map: ~/jarvis_memory/02_telegram_topics.md. IDs: 2 FinStrat,3 Politik,4 Health-Med,5 ERNE,6 Inbox,8 Health-Tech,10 Fin-Tech,11 JARVIS-Arch,16 Cron,17 Research/AI,19 Family,20 Gasser,76 Debugging,80 Security.\n§\nGitHub token files: FinanceManager CSV `~/jarvis_runtime/finance-system/secrets/Github_token_FinanceManager.csv`; AutoShortsBot `~/.hermes/secrets/github_autoshortsbot_token`; use temp GIT_ASKPASS, never print.\n\n══════════════════════════════════════════════\nUSER PROFILE (who the user is) [98% — 1,349/1,375 chars]\n══════════════════════════════════════════════\n**Notes:** Mein Herr. Loyaler Partner.\n§\n**Name:** Sir\n§\n**Voice preference:** de-DE-KillianNeural (German male voice, natural/clear) — default for all TTS output\n§\n**Language:** Deutsch mit englischen Fachbegriffen\n§\nKommunikationspräferenzen: **Sprachnachricht → Antwort per Sprachnachricht**\n§\nKommunikationspräferenzen: **Textnachricht → Antwort per Text**\n§\nHealth advisor role: consolidate labs/clinical reports/YAZIO/daily health email/symptoms/events into dashboards/reports; lab extraction requires 4-eyes review before values are confirmed.\n§\nTelegram topic Health-Med: only medical strategy/Behçet/Major Vessel Disease/thrombosis/meds/nutrition/symptoms/labs/doctor questions; health system scripts/data models go to Health-Tech.\n§\nFinance/Grocery: no real amounts/IDs/API keys in chat; credentials via runtime files; no DB/CSV/keys/reports in Git/frontend; backups+audit; Preview→Confirm→Audit; no fake prices/buttons; OpenFIGI never show/store; never auto-book; grocery provider calls explicit/cache-first.\n§\nAutoShorts/TrueTraceShorts: manual approval/posting; previews DE, finals EN. New visual standard for proof shorts: detailed AI-generated real UI/screen images with readable concrete text (e.g. Outlook-style invite/login/calendar), no extra focus lines/arrows/boxes; active-word subtitles; export MP4 with explicit 9:16 SAR/DAR.\n\nConversation started: Tuesday, May 26, 2026 07:01 AM\nModel: gpt-5.5\nProvider: openai-codex", "tools": [ { "type": "function", "function": { "name": "browser_back", "description": "Navigate back to the previous page in browser history. Requires browser_navigate to be called first.", "parameters": { "type": "object", "properties": {} } } }, { "type": "function", "function": { "name": "browser_click", "description": "Click on an element identified by its ref ID from the snapshot (e.g., '@e5'). The ref IDs are shown in square brackets in the snapshot output. Requires browser_navigate and browser_snapshot to be called first.", "parameters": { "type": "object", "properties": { "ref": { "type": "string", "description": "The element reference from the snapshot (e.g., '@e5', '@e12')" } }, "required": [ "ref" ] } } }, { "type": "function", "function": { "name": "browser_console", "description": "Get browser console output and JavaScript errors from the current page. Returns console.log/warn/error/info messages and uncaught JS exceptions. Use this to detect silent JavaScript errors, failed API calls, and application warnings. Requires browser_navigate to be called first. When 'expression' is provided, evaluates JavaScript in the page context and returns the result — use this for DOM inspection, reading page state, or extracting data programmatically.", "parameters": { "type": "object", "properties": { "clear": { "type": "boolean", "default": false, "description": "If true, clear the message buffers after reading" }, "expression": { "type": "string", "description": "JavaScript expression to evaluate in the page context. Runs in the browser like DevTools console — full access to DOM, window, document. Return values are serialized to JSON. Example: 'document.title' or 'document.querySelectorAll(\"a\").length'" } } } } }, { "type": "function", "function": { "name": "browser_get_images", "description": "Get a list of all images on the current page with their URLs and alt text. Useful for finding images to analyze with the vision tool. Requires browser_navigate to be called first.", "parameters": { "type": "object", "properties": {} } } }, { "type": "function", "function": { "name": "browser_navigate", "description": "Navigate to a URL in the browser. Initializes the session and loads the page. Must be called before other browser tools. For plain-text endpoints — URLs ending in .md, .txt, .json, .yaml, .yml, .csv, .xml, raw.githubusercontent.com, or any documented API endpoint — prefer curl via the terminal tool or web_extract; the browser stack is overkill and much slower for these. Use browser tools when you need to interact with a page (click, fill forms, dynamic content). Returns a compact page snapshot with interactive elements and ref IDs — no need to call browser_snapshot separately after navigating.", "parameters": { "type": "object", "properties": { "url": { "type": "string", "description": "The URL to navigate to (e.g., 'https://example.com')" } }, "required": [ "url" ] } } }, { "type": "function", "function": { "name": "browser_press", "description": "Press a keyboard key. Useful for submitting forms (Enter), navigating (Tab), or keyboard shortcuts. Requires browser_navigate to be called first.", "parameters": { "type": "object", "properties": { "key": { "type": "string", "description": "Key to press (e.g., 'Enter', 'Tab', 'Escape', 'ArrowDown')" } }, "required": [ "key" ] } } }, { "type": "function", "function": { "name": "browser_scroll", "description": "Scroll the page in a direction. Use this to reveal more content that may be below or above the current viewport. Requires browser_navigate to be called first.", "parameters": { "type": "object", "properties": { "direction": { "type": "string", "enum": [ "up", "down" ], "description": "Direction to scroll" } }, "required": [ "direction" ] } } }, { "type": "function", "function": { "name": "browser_snapshot", "description": "Get a text-based snapshot of the current page's accessibility tree. Returns interactive elements with ref IDs (like @e1, @e2) for browser_click and browser_type. full=false (default): compact view with interactive elements. full=true: complete page content. Snapshots over 8000 chars are truncated or LLM-summarized. Requires browser_navigate first. Note: browser_navigate already returns a compact snapshot — use this to refresh after interactions that change the page, or with full=true for complete content.", "parameters": { "type": "object", "properties": { "full": { "type": "boolean", "description": "If true, returns complete page content. If false (default), returns compact view with interactive elements only.", "default": false } } } } }, { "type": "function", "function": { "name": "browser_type", "description": "Type text into an input field identified by its ref ID. Clears the field first, then types the new text. Requires browser_navigate and browser_snapshot to be called first.", "parameters": { "type": "object", "properties": { "ref": { "type": "string", "description": "The element reference from the snapshot (e.g., '@e3')" }, "text": { "type": "string", "description": "The text to type into the field" } }, "required": [ "ref", "text" ] } } }, { "type": "function", "function": { "name": "browser_vision", "description": "Take a screenshot of the current page and analyze it with vision AI. Use this when you need to visually understand what's on the page - especially useful for CAPTCHAs, visual verification challenges, complex layouts, or when the text snapshot doesn't capture important visual information. Returns both the AI analysis and a screenshot_path that you can share with the user by including MEDIA: in your response. Requires browser_navigate to be called first.", "parameters": { "type": "object", "properties": { "question": { "type": "string", "description": "What you want to know about the page visually. Be specific about what you're looking for." }, "annotate": { "type": "boolean", "default": false, "description": "If true, overlay numbered [N] labels on interactive elements. Each [N] maps to ref @eN for subsequent browser commands. Useful for QA and spatial reasoning about page layout." } }, "required": [ "question" ] } } }, { "type": "function", "function": { "name": "clarify", "description": "Ask the user a question when you need clarification, feedback, or a decision before proceeding. Supports two modes:\n\n1. **Multiple choice** — provide up to 4 choices. The user picks one or types their own answer via a 5th 'Other' option.\n2. **Open-ended** — omit choices entirely. The user types a free-form response.\n\nUse this tool when:\n- The task is ambiguous and you need the user to choose an approach\n- You want post-task feedback ('How did that work out?')\n- You want to offer to save a skill or update memory\n- A decision has meaningful trade-offs the user should weigh in on\n\nDo NOT use this tool for simple yes/no confirmation of dangerous commands (the terminal tool handles that). Prefer making a reasonable default choice yourself when the decision is low-stakes.", "parameters": { "type": "object", "properties": { "question": { "type": "string", "description": "The question to present to the user." }, "choices": { "type": "array", "items": { "type": "string" }, "maxItems": 4, "description": "Up to 4 answer choices. Omit this parameter entirely to ask an open-ended question. When provided, the UI automatically appends an 'Other (type your answer)' option." } }, "required": [ "question" ] } } }, { "type": "function", "function": { "name": "cronjob", "description": "Manage scheduled cron jobs with a single compressed tool.\n\nUse action='create' to schedule a new job from a prompt or one or more skills.\nUse action='list' to inspect jobs.\nUse action='update', 'pause', 'resume', 'remove', or 'run' to manage an existing job.\n\nTo stop a job the user no longer wants: first action='list' to find the job_id, then action='remove' with that job_id. Never guess job IDs — always list first.\n\nJobs run in a fresh session with no current-chat context, so prompts must be self-contained.\nIf skills are provided on create, the future cron run loads those skills in order, then follows the prompt as the task instruction.\nOn update, passing skills=[] clears attached skills.\n\nNOTE: The agent's final response is auto-delivered to the target. Put the primary\nuser-facing content in the final response. Cron jobs run autonomously with no user\npresent — they cannot ask questions or request clarification.\n\nImportant safety rule: cron-run sessions should not recursively schedule more cron jobs.", "parameters": { "type": "object", "properties": { "action": { "type": "string", "description": "One of: create, list, update, pause, resume, remove, run" }, "job_id": { "type": "string", "description": "Required for update/pause/resume/remove/run" }, "prompt": { "type": "string", "description": "For create: the full self-contained prompt. If skills are also provided, this becomes the task instruction paired with those skills." }, "schedule": { "type": "string", "description": "For create/update: '30m', 'every 2h', '0 9 * * *', or ISO timestamp" }, "name": { "type": "string", "description": "Optional human-friendly name" }, "repeat": { "type": "integer", "description": "Optional repeat count. Omit for defaults (once for one-shot, forever for recurring)." }, "deliver": { "type": "string", "description": "Omit this parameter to auto-deliver back to the current chat and topic (recommended). Auto-detection preserves thread/topic context. Only set explicitly when the user asks to deliver somewhere OTHER than the current conversation. Values: 'origin' (same as omitting), 'local' (no delivery, save only), 'all' (fan out to every connected home channel), or platform:chat_id:thread_id for a specific destination. Combine with comma: 'origin,all' delivers to the origin plus every other connected channel. Examples: 'telegram:-1001234567890:17585', 'discord:#engineering', 'sms:+15551234567', 'all'. WARNING: 'platform:chat_id' without :thread_id loses topic targeting. 'all' resolves at fire time, so a job created before a channel was wired up will pick it up automatically once connected." }, "skills": { "type": "array", "items": { "type": "string" }, "description": "Optional ordered list of skill names to load before executing the cron prompt. On update, pass an empty array to clear attached skills." }, "model": { "type": "object", "description": "Optional per-job model override. If provider is omitted, the current main provider is pinned at creation time so the job stays stable.", "properties": { "provider": { "type": "string", "description": "Provider name (e.g. 'openrouter', 'anthropic', or 'custom:' for a provider defined in custom_providers config — always include the ':' suffix, never pass the bare 'custom'). Omit to use and pin the current provider." }, "model": { "type": "string", "description": "Model name (e.g. 'anthropic/claude-sonnet-4', 'claude-sonnet-4')" } }, "required": [ "model" ] }, "script": { "type": "string", "description": "Optional path to a script that runs each tick. In the default mode its stdout is injected into the agent's prompt as context (data-collection / change-detection pattern). With no_agent=True, the script IS the job and its stdout is delivered verbatim (classic watchdog pattern). Relative paths resolve under ~/.hermes/scripts/. ``.sh``/``.bash`` extensions run via bash, everything else via Python. On update, pass empty string to clear." }, "no_agent": { "type": "boolean", "default": false, "description": "Default: False (LLM-driven job — the agent runs the prompt each tick). Set True to skip the LLM entirely: the scheduler just runs ``script`` on schedule and delivers its stdout verbatim. No tokens, no agent loop, no model override honoured. \n\nREQUIREMENTS when True: ``script`` MUST be set (``prompt`` and ``skills`` are ignored). \n\nDELIVERY SEMANTICS when True: (a) non-empty stdout is sent verbatim as the message; (b) EMPTY stdout means SILENT — nothing is sent to the user and they won't see anything happened, so design your script to stay quiet when there's nothing to report (the watchdog pattern); (c) non-zero exit / timeout sends an error alert so a broken watchdog can't fail silently. \n\nWHEN TO USE True: recurring script-only pings where the script itself produces the exact message text (memory/disk/GPU watchdogs, threshold alerts, heartbeats, CI notifications, API pollers with a fixed output shape). WHEN TO USE False (default): anything that needs reasoning — summarize a feed, draft a daily briefing, pick interesting items, rephrase data for a human, follow conditional logic based on content." }, "context_from": { "type": "array", "items": { "type": "string" }, "description": "Optional job ID or list of job IDs whose most recent completed output is injected into the prompt as context before each run. Use this to chain cron jobs: job A collects data, job B processes it. Each entry must be a valid job ID (from cronjob action='list'). Note: injects the most recent completed output — does not wait for upstream jobs running in the same tick. On update, pass an empty array to clear." }, "enabled_toolsets": { "type": "array", "items": { "type": "string" }, "description": "Optional list of toolset names to restrict the job's agent to (e.g. [\"web\", \"terminal\", \"file\", \"delegation\"]). When set, only tools from these toolsets are loaded, significantly reducing input token overhead. When omitted, all default tools are loaded. Infer from the job's prompt — e.g. use \"web\" if it calls web_search, \"terminal\" if it runs scripts, \"file\" if it reads files, \"delegation\" if it calls delegate_task. On update, pass an empty array to clear." }, "workdir": { "type": "string", "description": "Optional absolute path to run the job from. When set, AGENTS.md / CLAUDE.md / .cursorrules from that directory are injected into the system prompt, and the terminal/file/code_exec tools use it as their working directory — useful for running a job inside a specific project repo. Must be an absolute path that exists. When unset (default), preserves the original behaviour: no project context files, tools use the scheduler's cwd. On update, pass an empty string to clear. Jobs with workdir run sequentially (not parallel) to keep per-job directories isolated." } }, "required": [ "action" ] } } }, { "type": "function", "function": { "name": "delegate_task", "description": "Spawn one or more subagents to work on tasks in isolated contexts. Each subagent gets its own conversation, terminal session, and toolset. Only the final summary is returned -- intermediate tool results never enter your context window.\n\nTWO MODES (one of 'goal' or 'tasks' is required):\n1. Single task: provide 'goal' (+ optional context, toolsets)\n2. Batch (parallel): provide 'tasks' array with up to 3 items concurrently for this user (configured via delegation.max_concurrent_children in config.yaml). All run in parallel and results are returned together. Nested delegation is OFF for this user (max_spawn_depth=1): every child is a leaf and cannot delegate further. Raise delegation.max_spawn_depth in config.yaml to enable nesting.\n\nWHEN TO USE delegate_task:\n- Reasoning-heavy subtasks (debugging, code review, research synthesis)\n- Tasks that would flood your context with intermediate data\n- Parallel independent workstreams (research A and B simultaneously)\n\nWHEN NOT TO USE (use these instead):\n- Mechanical multi-step work with no reasoning needed -> use execute_code\n- Single tool call -> just call the tool directly\n- Tasks needing user interaction -> subagents cannot use clarify\n- Durable long-running work that must outlive the current turn -> use cronjob (action='create') or terminal(background=True, notify_on_complete=True) instead. delegate_task runs SYNCHRONOUSLY inside the parent turn: if the parent is interrupted (user sends a new message, /stop, /new) the child is cancelled with status='interrupted' and its work is discarded. Children cannot continue in the background.\n\nIMPORTANT:\n- Subagents have NO memory of your conversation. Pass all relevant info (file paths, error messages, constraints) via the 'context' field.\n- If the user is writing in a non-English language, or asked for output in a specific language / tone / style, say so in 'context' (e.g. \"respond in Chinese\", \"return output in Japanese\"). Otherwise subagents default to English and their summaries will contaminate your final reply with the wrong language.\n- Subagent summaries are SELF-REPORTS, not verified facts. A subagent that claims \"uploaded successfully\" or \"file written\" may be wrong. For operations with external side-effects (HTTP POST/PUT, remote writes, file creation at shared paths, publishing), require the subagent to return a verifiable handle (URL, ID, absolute path, HTTP status) and verify it yourself — fetch the URL, stat the file, read back the content — before telling the user the operation succeeded.\n- Leaf subagents (role='leaf', the default) CANNOT call: delegate_task, clarify, memory, send_message, execute_code.\n- Orchestrator subagents (role='orchestrator') retain delegate_task so they can spawn their own workers, but still cannot use clarify, memory, send_message, or execute_code. Orchestrators are bounded by max_spawn_depth=1 for this user and can be disabled globally via delegation.orchestrator_enabled=false.\n- Each subagent gets its own terminal session (separate working directory and state).\n- Results are always returned as an array, one entry per task.", "parameters": { "type": "object", "properties": { "goal": { "type": "string", "description": "What the subagent should accomplish. Be specific and self-contained -- the subagent knows nothing about your conversation history." }, "context": { "type": "string", "description": "Background information the subagent needs: file paths, error messages, project structure, constraints. The more specific you are, the better the subagent performs." }, "toolsets": { "type": "array", "items": { "type": "string" }, "description": "Toolsets to enable for this subagent. Default: inherits your enabled toolsets. Available toolsets: 'browser', 'computer_use', 'cronjob', 'discord', 'discord_admin', 'feishu_doc', 'feishu_drive', 'file', 'homeassistant', 'image_gen', 'kanban', 'search', 'session_search', 'skills', 'spotify', 'terminal', 'todo', 'tts', 'video', 'video_gen', 'vision', 'web', 'x_search', 'yuanbao'. Common patterns: ['terminal', 'file'] for code work, ['web'] for research, ['browser'] for web interaction, ['terminal', 'file', 'web'] for full-stack tasks." }, "tasks": { "type": "array", "items": { "type": "object", "properties": { "goal": { "type": "string", "description": "Task goal" }, "context": { "type": "string", "description": "Task-specific context" }, "toolsets": { "type": "array", "items": { "type": "string" }, "description": "Toolsets for this specific task. Available: 'browser', 'computer_use', 'cronjob', 'discord', 'discord_admin', 'feishu_doc', 'feishu_drive', 'file', 'homeassistant', 'image_gen', 'kanban', 'search', 'session_search', 'skills', 'spotify', 'terminal', 'todo', 'tts', 'video', 'video_gen', 'vision', 'web', 'x_search', 'yuanbao'. Use 'web' for network access, 'terminal' for shell, 'browser' for web interaction." }, "acp_command": { "type": "string", "description": "Per-task ACP command override (e.g. 'copilot'). Overrides the top-level acp_command for this task only. Do NOT set unless the user explicitly told you an ACP CLI is installed." }, "acp_args": { "type": "array", "items": { "type": "string" }, "description": "Per-task ACP args override. Leave empty unless acp_command is set." }, "role": { "type": "string", "enum": [ "leaf", "orchestrator" ], "description": "Per-task role override. See top-level 'role' for semantics." } }, "required": [ "goal" ] }, "description": "Batch mode: tasks to run in parallel (up to 3 for this user, set via delegation.max_concurrent_children). Each gets its own subagent with isolated context and terminal session. When provided, top-level goal/context/toolsets are ignored." }, "role": { "type": "string", "enum": [ "leaf", "orchestrator" ], "description": "Role of the child agent. 'leaf' (default) = focused worker, cannot delegate further. 'orchestrator' = can use delegate_task to spawn its own workers. Nesting is OFF for this user (max_spawn_depth=1); 'orchestrator' is silently forced to 'leaf'. Raise delegation.max_spawn_depth in config.yaml to enable." }, "acp_command": { "type": "string", "description": "Override ACP command for child agents (e.g. 'copilot'). When set, children use ACP subprocess transport instead of inheriting the parent's transport. Requires an ACP-compatible CLI (currently GitHub Copilot CLI via 'copilot --acp --stdio'). See agent/copilot_acp_client.py for the implementation. IMPORTANT: Do NOT set this unless the user has explicitly told you a specific ACP-compatible CLI is installed and configured. Leave empty to use the parent's default transport (Hermes subagents)." }, "acp_args": { "type": "array", "items": { "type": "string" }, "description": "Arguments for the ACP command (default: ['--acp', '--stdio']). Only used when acp_command is set. Leave empty unless acp_command is explicitly provided." } } } } }, { "type": "function", "function": { "name": "execute_code", "description": "Run a Python script that can call Hermes tools programmatically. Use this when you need 3+ tool calls with processing logic between them, need to filter/reduce large tool outputs before they enter your context, need conditional branching (if X then Y else Z), or need to loop (fetch N pages, process N files, retry on failure).\n\nUse normal tool calls instead when: single tool call with no processing, you need to see the full result and apply complex reasoning, or the task requires interactive user input.\n\nAvailable via `from hermes_tools import ...`:\n\n read_file(path: str, offset: int = 1, limit: int = 500) -> dict\n Lines are 1-indexed. Returns {\"content\": \"...\", \"total_lines\": N}\n write_file(path: str, content: str) -> dict\n Always overwrites the entire file.\n search_files(pattern: str, target=\"content\", path=\".\", file_glob=None, limit=50) -> dict\n target: \"content\" (search inside files) or \"files\" (find files by name). Returns {\"matches\": [...]}\n patch(path: str, old_string: str, new_string: str, replace_all: bool = False) -> dict\n Replaces old_string with new_string in the file.\n terminal(command: str, timeout=None, workdir=None) -> dict\n Foreground only (no background/pty). Returns {\"output\": \"...\", \"exit_code\": N}\n\nLimits: 5-minute timeout, 50KB stdout cap, max 50 tool calls per script. terminal() is foreground-only (no background or pty).\n\nScripts run in the session's working directory with the active venv's python, so project deps (pandas, etc.) and relative paths work like in terminal().\n\nPrint your final result to stdout. Use Python stdlib (json, re, math, csv, datetime, collections, etc.) for processing between tool calls.\n\nAlso available (no import needed — built into hermes_tools):\n json_parse(text: str) — json.loads with strict=False; use for terminal() output with control chars\n shell_quote(s: str) — shlex.quote(); use when interpolating dynamic strings into shell commands\n retry(fn, max_attempts=3, delay=2) — retry with exponential backoff for transient failures", "parameters": { "type": "object", "properties": { "code": { "type": "string", "description": "Python code to execute. Import tools with `from hermes_tools import terminal, ...` and print your final result to stdout." } }, "required": [ "code" ] } } }, { "type": "function", "function": { "name": "feishu_doc_read", "description": "Read the full content of a Feishu/Lark document as plain text. Useful when you need more context beyond the quoted text in a comment.", "parameters": { "type": "object", "properties": { "doc_token": { "type": "string", "description": "The document token (from the document URL or comment context)." } }, "required": [ "doc_token" ] } } }, { "type": "function", "function": { "name": "feishu_drive_add_comment", "description": "Add a new whole-document comment on a Feishu document. Use this for whole-document comments or as a fallback when reply_comment fails with code 1069302.", "parameters": { "type": "object", "properties": { "file_token": { "type": "string", "description": "The document file token." }, "content": { "type": "string", "description": "The comment text content (plain text only, no markdown)." }, "file_type": { "type": "string", "description": "File type (default: docx).", "default": "docx" } }, "required": [ "file_token", "content" ] } } }, { "type": "function", "function": { "name": "feishu_drive_list_comment_replies", "description": "List all replies in a comment thread on a Feishu document.", "parameters": { "type": "object", "properties": { "file_token": { "type": "string", "description": "The document file token." }, "comment_id": { "type": "string", "description": "The comment ID to list replies for." }, "file_type": { "type": "string", "description": "File type (default: docx).", "default": "docx" }, "page_size": { "type": "integer", "description": "Number of replies per page (max 100).", "default": 100 }, "page_token": { "type": "string", "description": "Pagination token for next page." } }, "required": [ "file_token", "comment_id" ] } } }, { "type": "function", "function": { "name": "feishu_drive_list_comments", "description": "List comments on a Feishu document. Use is_whole=true to list whole-document comments only.", "parameters": { "type": "object", "properties": { "file_token": { "type": "string", "description": "The document file token." }, "file_type": { "type": "string", "description": "File type (default: docx).", "default": "docx" }, "is_whole": { "type": "boolean", "description": "If true, only return whole-document comments.", "default": false }, "page_size": { "type": "integer", "description": "Number of comments per page (max 100).", "default": 100 }, "page_token": { "type": "string", "description": "Pagination token for next page." } }, "required": [ "file_token" ] } } }, { "type": "function", "function": { "name": "feishu_drive_reply_comment", "description": "Reply to a local comment thread on a Feishu document. Use this for local (quoted-text) comments. For whole-document comments, use feishu_drive_add_comment instead.", "parameters": { "type": "object", "properties": { "file_token": { "type": "string", "description": "The document file token." }, "comment_id": { "type": "string", "description": "The comment ID to reply to." }, "content": { "type": "string", "description": "The reply text content (plain text only, no markdown)." }, "file_type": { "type": "string", "description": "File type (default: docx).", "default": "docx" } }, "required": [ "file_token", "comment_id", "content" ] } } }, { "type": "function", "function": { "name": "image_generate", "description": "Generate high-quality images from text prompts. The underlying backend (FAL, OpenAI, etc.) and model are user-configured and not selectable by the agent. Returns either a URL or an absolute file path in the `image` field; display it with markdown ![description](url-or-path) and the gateway will deliver it.", "parameters": { "type": "object", "properties": { "prompt": { "type": "string", "description": "The text prompt describing the desired image. Be detailed and descriptive." }, "aspect_ratio": { "type": "string", "enum": [ "landscape", "square", "portrait" ], "description": "The aspect ratio of the generated image. 'landscape' is 16:9 wide, 'portrait' is 16:9 tall, 'square' is 1:1.", "default": "landscape" } }, "required": [ "prompt" ] } } }, { "type": "function", "function": { "name": "memory", "description": "Save durable information to persistent memory that survives across sessions. Memory is injected into future turns, so keep it compact and focused on facts that will still matter later.\n\nWHEN TO SAVE (do this proactively, don't wait to be asked):\n- User corrects you or says 'remember this' / 'don't do that again'\n- User shares a preference, habit, or personal detail (name, role, timezone, coding style)\n- You discover something about the environment (OS, installed tools, project structure)\n- You learn a convention, API quirk, or workflow specific to this user's setup\n- You identify a stable fact that will be useful again in future sessions\n\nPRIORITY: User preferences and corrections > environment facts > procedural knowledge. The most valuable memory prevents the user from having to repeat themselves.\n\nDo NOT save task progress, session outcomes, completed-work logs, or temporary TODO state to memory; use session_search to recall those from past transcripts.\nIf you've discovered a new way to do something, solved a problem that could be necessary later, save it as a skill with the skill tool.\n\nTWO TARGETS:\n- 'user': who the user is -- name, role, preferences, communication style, pet peeves\n- 'memory': your notes -- environment facts, project conventions, tool quirks, lessons learned\n\nACTIONS: add (new entry), replace (update existing -- old_text identifies it), remove (delete -- old_text identifies it).\n\nSKIP: trivial/obvious info, things easily re-discovered, raw data dumps, and temporary task state.", "parameters": { "type": "object", "properties": { "action": { "type": "string", "enum": [ "add", "replace", "remove" ], "description": "The action to perform." }, "target": { "type": "string", "enum": [ "memory", "user" ], "description": "Which memory store: 'memory' for personal notes, 'user' for user profile." }, "content": { "type": "string", "description": "The entry content. Required for 'add' and 'replace'." }, "old_text": { "type": "string", "description": "Short unique substring identifying the entry to replace or remove." } }, "required": [ "action", "target" ] } } }, { "type": "function", "function": { "name": "mixture_of_agents", "description": "Route a hard problem through multiple frontier LLMs collaboratively. Makes 5 API calls (4 reference models + 1 aggregator) with maximum reasoning effort — use sparingly for genuinely difficult problems. Best for: complex math, advanced algorithms, multi-step analytical reasoning, problems benefiting from diverse perspectives.", "parameters": { "type": "object", "properties": { "user_prompt": { "type": "string", "description": "The complex query or problem to solve using multiple AI models. Should be a challenging problem that benefits from diverse perspectives and collaborative reasoning." } }, "required": [ "user_prompt" ] } } }, { "type": "function", "function": { "name": "patch", "description": "Targeted find-and-replace edits in files. Use this instead of sed/awk in terminal. Uses fuzzy matching (9 strategies) so minor whitespace/indentation differences won't break it. Returns a unified diff. Auto-runs syntax checks after editing.\n\nREPLACE MODE (mode='replace', default): find a unique string and replace it. REQUIRED PARAMETERS: mode, path, old_string, new_string.\nPATCH MODE (mode='patch'): apply V4A multi-file patches for bulk changes. REQUIRED PARAMETERS: mode, patch.", "parameters": { "type": "object", "properties": { "mode": { "type": "string", "enum": [ "replace", "patch" ], "description": "Edit mode. 'replace' (default): requires path + old_string + new_string. 'patch': requires patch content only.", "default": "replace" }, "path": { "type": "string", "description": "REQUIRED when mode='replace'. File path to edit." }, "old_string": { "type": "string", "description": "REQUIRED when mode='replace'. Exact text to find and replace. Must be unique in the file unless replace_all=true. Include surrounding context lines to ensure uniqueness." }, "new_string": { "type": "string", "description": "REQUIRED when mode='replace'. Replacement text. Pass empty string '' to delete the matched text." }, "replace_all": { "type": "boolean", "description": "Replace all occurrences instead of requiring a unique match (default: false)", "default": false }, "patch": { "type": "string", "description": "REQUIRED when mode='patch'. V4A format patch content. Format:\n*** Begin Patch\n*** Update File: path/to/file\n@@ context hint @@\n context line\n-removed line\n+added line\n*** End Patch" } }, "required": [ "mode" ] } } }, { "type": "function", "function": { "name": "process", "description": "Manage background processes started with terminal(background=true). Actions: 'list' (show all), 'poll' (check status + new output), 'log' (full output with pagination), 'wait' (block until done or timeout), 'kill' (terminate), 'write' (send raw stdin data without newline), 'submit' (send data + Enter, for answering prompts), 'close' (close stdin/send EOF).", "parameters": { "type": "object", "properties": { "action": { "type": "string", "enum": [ "list", "poll", "log", "wait", "kill", "write", "submit", "close" ], "description": "Action to perform on background processes" }, "session_id": { "type": "string", "description": "Process session ID (from terminal background output). Required for all actions except 'list'." }, "data": { "type": "string", "description": "Text to send to process stdin (for 'write' and 'submit' actions)" }, "timeout": { "type": "integer", "description": "Max seconds to block for 'wait' action. Returns partial output on timeout.", "minimum": 1 }, "offset": { "type": "integer", "description": "Line offset for 'log' action (default: last 200 lines)" }, "limit": { "type": "integer", "description": "Max lines to return for 'log' action", "minimum": 1 } }, "required": [ "action" ] } } }, { "type": "function", "function": { "name": "read_file", "description": "Read a text file with line numbers and pagination. Use this instead of cat/head/tail in terminal. Output format: 'LINE_NUM|CONTENT'. Suggests similar filenames if not found. Use offset and limit for large files. Reads exceeding ~100K characters are rejected; use offset and limit to read specific sections of large files. NOTE: Cannot read images or binary files — use vision_analyze for images.", "parameters": { "type": "object", "properties": { "path": { "type": "string", "description": "Path to the file to read (absolute, relative, or ~/path)" }, "offset": { "type": "integer", "description": "Line number to start reading from (1-indexed, default: 1)", "default": 1, "minimum": 1 }, "limit": { "type": "integer", "description": "Maximum number of lines to read (default: 500, max: 2000)", "default": 500, "maximum": 2000 } }, "required": [ "path" ] } } }, { "type": "function", "function": { "name": "search_files", "description": "Search file contents or find files by name. Use this instead of grep/rg/find/ls in terminal. Ripgrep-backed, faster than shell equivalents.\n\nContent search (target='content'): Regex search inside files. Output modes: full matches with line numbers, file paths only, or match counts.\n\nFile search (target='files'): Find files by glob pattern (e.g., '*.py', '*config*'). Also use this instead of ls — results sorted by modification time.", "parameters": { "type": "object", "properties": { "pattern": { "type": "string", "description": "Regex pattern for content search, or glob pattern (e.g., '*.py') for file search" }, "target": { "type": "string", "enum": [ "content", "files" ], "description": "'content' searches inside file contents, 'files' searches for files by name", "default": "content" }, "path": { "type": "string", "description": "Directory or file to search in (default: current working directory)", "default": "." }, "file_glob": { "type": "string", "description": "Filter files by pattern in grep mode (e.g., '*.py' to only search Python files)" }, "limit": { "type": "integer", "description": "Maximum number of results to return (default: 50)", "default": 50 }, "offset": { "type": "integer", "description": "Skip first N results for pagination (default: 0)", "default": 0 }, "output_mode": { "type": "string", "enum": [ "content", "files_only", "count" ], "description": "Output format for grep mode: 'content' shows matching lines with line numbers, 'files_only' lists file paths, 'count' shows match counts per file", "default": "content" }, "context": { "type": "integer", "description": "Number of context lines before and after each match (grep mode only)", "default": 0 } }, "required": [ "pattern" ] } } }, { "type": "function", "function": { "name": "send_message", "description": "Send a message to a connected messaging platform, or list available targets.\n\nIMPORTANT: When the user asks to send to a specific channel or person (not just a bare platform name), call send_message(action='list') FIRST to see available targets, then send to the correct one.\nIf the user just says a platform name like 'send to telegram', send directly to the home channel without listing first.", "parameters": { "type": "object", "properties": { "action": { "type": "string", "enum": [ "send", "list" ], "description": "Action to perform. 'send' (default) sends a message. 'list' returns all available channels/contacts across connected platforms." }, "target": { "type": "string", "description": "Delivery target. Format: 'platform' (uses home channel), 'platform:#channel-name', 'platform:chat_id', or 'platform:chat_id:thread_id' for Telegram topics and Discord threads. Examples: 'telegram', 'telegram:-1001234567890:17585', 'discord:999888777:555444333', 'discord:#bot-home', 'slack:#engineering', 'signal:+155****4567', 'matrix:!roomid:server.org', 'matrix:@user:server.org', 'yuanbao:direct:' (DM), 'yuanbao:group:' (group chat)" }, "message": { "type": "string", "description": "The message text to send. To send an image or file, include MEDIA: (e.g. 'MEDIA:/tmp/hermes/cache/img_xxx.jpg') in the message — the platform will deliver it as a native media attachment." } } } } }, { "type": "function", "function": { "name": "session_search", "description": "Search your long-term memory of past conversations, or browse recent sessions. This is your recall -- every past session is searchable, and this tool summarizes what happened.\n\nTWO MODES:\n1. Recent sessions (no query): Call with no arguments to see what was worked on recently. Returns titles, previews, and timestamps. Zero LLM cost, instant. Start here when the user asks what were we working on or what did we do recently.\n2. Keyword search (with query): Search for specific topics across all past sessions. Returns LLM-generated summaries of matching sessions.\n\nUSE THIS PROACTIVELY when:\n- The user says 'we did this before', 'remember when', 'last time', 'as I mentioned'\n- The user asks about a topic you worked on before but don't have in current context\n- The user references a project, person, or concept that seems familiar but isn't in memory\n- You want to check if you've solved a similar problem before\n- The user asks 'what did we do about X?' or 'how did we fix Y?'\n\nDon't hesitate to search when it is actually cross-session -- it's fast and cheap. Better to search and confirm than to guess or ask the user to repeat themselves.\n\nSearch syntax: keywords joined with OR for broad recall (elevenlabs OR baseten OR funding), phrases for exact match (\"docker networking\"), boolean (python NOT java), prefix (deploy*). IMPORTANT: Use OR between keywords for best results — FTS5 defaults to AND which misses sessions that only mention some terms. If a broad OR query returns nothing, try individual keyword searches in parallel. Returns summaries of the top matching sessions.", "parameters": { "type": "object", "properties": { "query": { "type": "string", "description": "Search query — keywords, phrases, or boolean expressions to find in past sessions. Omit this parameter entirely to browse recent sessions instead (returns titles, previews, timestamps with no LLM cost)." }, "role_filter": { "type": "string", "description": "Optional: only search messages from specific roles (comma-separated). E.g. 'user,assistant' to skip tool outputs." }, "limit": { "type": "integer", "description": "Max sessions to summarize (default: 3, max: 5).", "default": 3 } } } } }, { "type": "function", "function": { "name": "skill_manage", "description": "Manage skills (create, update, delete). Skills are your procedural memory — reusable approaches for recurring task types. New skills go to ~/.hermes/skills/; existing skills can be modified wherever they live.\n\nActions: create (full SKILL.md + optional category), patch (old_string/new_string — preferred for fixes), edit (full SKILL.md rewrite — major overhauls only), delete, write_file, remove_file.\n\nOn delete, pass `absorbed_into=` when you're merging this skill's content into another one, or `absorbed_into=\"\"` when you're pruning it with no forwarding target. This lets the curator tell consolidation from pruning without guessing, so downstream consumers (cron jobs that reference the old skill name, etc.) get updated correctly. The target you name in `absorbed_into` must already exist — create/patch the umbrella first, then delete.\n\nCreate when: complex task succeeded (5+ calls), errors overcome, user-corrected approach worked, non-trivial workflow discovered, or user asks you to remember a procedure.\nUpdate when: instructions stale/wrong, OS-specific failures, missing steps or pitfalls found during use. If you used a skill and hit issues not covered by it, patch it immediately.\n\nAfter difficult/iterative tasks, offer to save as a skill. Skip for simple one-offs. Confirm with user before creating/deleting.\n\nGood skills: trigger conditions, numbered steps with exact commands, pitfalls section, verification steps. Use skill_view() to see format examples.\n\nPinned skills are protected from deletion only — skill_manage(action='delete') will refuse with a message pointing the user to `hermes curator unpin `. Patches and edits go through on pinned skills so you can still improve them as pitfalls come up; pin only guards against irrecoverable loss.", "parameters": { "type": "object", "properties": { "action": { "type": "string", "enum": [ "create", "patch", "edit", "delete", "write_file", "remove_file" ], "description": "The action to perform." }, "name": { "type": "string", "description": "Skill name (lowercase, hyphens/underscores, max 64 chars). Must match an existing skill for patch/edit/delete/write_file/remove_file." }, "content": { "type": "string", "description": "Full SKILL.md content (YAML frontmatter + markdown body). Required for 'create' and 'edit'. For 'edit', read the skill first with skill_view() and provide the complete updated text." }, "old_string": { "type": "string", "description": "Text to find in the file (required for 'patch'). Must be unique unless replace_all=true. Include enough surrounding context to ensure uniqueness." }, "new_string": { "type": "string", "description": "Replacement text (required for 'patch'). Can be empty string to delete the matched text." }, "replace_all": { "type": "boolean", "description": "For 'patch': replace all occurrences instead of requiring a unique match (default: false)." }, "category": { "type": "string", "description": "Optional category/domain for organizing the skill (e.g., 'devops', 'data-science', 'mlops'). Creates a subdirectory grouping. Only used with 'create'." }, "file_path": { "type": "string", "description": "Path to a supporting file within the skill directory. For 'write_file'/'remove_file': required, must be under references/, templates/, scripts/, or assets/. For 'patch': optional, defaults to SKILL.md if omitted." }, "file_content": { "type": "string", "description": "Content for the file. Required for 'write_file'." }, "absorbed_into": { "type": "string", "description": "For 'delete' only — declares intent so the curator can tell consolidation from pruning without guessing. Pass the umbrella skill name when this skill's content was merged into another (the target must already exist). Pass an empty string when the skill is truly stale and being pruned with no forwarding target. Omitting the arg on delete is supported for backward compatibility but downstream tooling (e.g. cron-job skill reference rewriting) will have to guess at intent." } }, "required": [ "action", "name" ] } } }, { "type": "function", "function": { "name": "skill_view", "description": "Skills allow for loading information about specific tasks and workflows, as well as scripts and templates. Load a skill's full content or access its linked files (references, templates, scripts). First call returns SKILL.md content plus a 'linked_files' dict showing available references/templates/scripts. To access those, call again with file_path parameter.", "parameters": { "type": "object", "properties": { "name": { "type": "string", "description": "The skill name (use skills_list to see available skills). For plugin-provided skills, use the qualified form 'plugin:skill' (e.g. 'superpowers:writing-plans')." }, "file_path": { "type": "string", "description": "OPTIONAL: Path to a linked file within the skill (e.g., 'references/api.md', 'templates/config.yaml', 'scripts/validate.py'). Omit to get the main SKILL.md content." } }, "required": [ "name" ] } } }, { "type": "function", "function": { "name": "skills_list", "description": "List available skills (name + description). Use skill_view(name) to load full content.", "parameters": { "type": "object", "properties": { "category": { "type": "string", "description": "Optional category filter to narrow results" } } } } }, { "type": "function", "function": { "name": "terminal", "description": "Execute shell commands on a Linux environment. Filesystem usually persists between calls.\n\nDo NOT use cat/head/tail to read files — use read_file instead.\nDo NOT use grep/rg/find to search — use search_files instead.\nDo NOT use ls to list directories — use search_files(target='files') instead.\nDo NOT use sed/awk to edit files — use patch instead.\nDo NOT use echo/cat heredoc to create files — use write_file instead.\nReserve terminal for: builds, installs, git, processes, scripts, network, package managers, and anything that needs a shell.\n\nForeground (default): Commands return INSTANTLY when done, even if the timeout is high. Set timeout=300 for long builds/scripts — you'll still get the result in seconds if it's fast. Prefer foreground for short commands.\nBackground: Set background=true to get a session_id. Two patterns:\n (1) Long-lived processes that never exit (servers, watchers).\n (2) Long-running tasks with notify_on_complete=true — you can keep working on other things and the system auto-notifies you when the task finishes. Great for test suites, builds, deployments, or anything that takes more than a minute.\nFor servers/watchers, do NOT use shell-level background wrappers (nohup/disown/setsid/trailing '&') in foreground mode. Use background=true so Hermes can track lifecycle and output.\nAfter starting a server, verify readiness with a health check or log signal, then run tests in a separate terminal() call. Avoid blind sleep loops.\nUse process(action=\"poll\") for progress checks, process(action=\"wait\") to block until done.\nWorking directory: Use 'workdir' for per-command cwd.\nPTY mode: Set pty=true for interactive CLI tools (Codex, Claude Code, Python REPL).\n\nDo NOT use vim/nano/interactive tools without pty=true — they hang without a pseudo-terminal. Pipe git output to cat if it might page.\n", "parameters": { "type": "object", "properties": { "command": { "type": "string", "description": "The command to execute on the VM" }, "background": { "type": "boolean", "description": "Run the command in the background. Two patterns: (1) Long-lived processes that never exit (servers, watchers). (2) Long-running tasks paired with notify_on_complete=true — you can keep working and get notified when the task finishes. For short commands, prefer foreground with a generous timeout instead.", "default": false }, "timeout": { "type": "integer", "description": "Max seconds to wait (default: 180, foreground max: 600). Returns INSTANTLY when command finishes — set high for long tasks, you won't wait unnecessarily. Foreground timeout above 600s is rejected; use background=true for longer commands.", "minimum": 1 }, "workdir": { "type": "string", "description": "Working directory for this command (absolute path). Defaults to the session working directory." }, "pty": { "type": "boolean", "description": "Run in pseudo-terminal (PTY) mode for interactive CLI tools like Codex, Claude Code, or Python REPL. Only works with local and SSH backends. Default: false.", "default": false }, "notify_on_complete": { "type": "boolean", "description": "When true (and background=true), you'll be automatically notified exactly once when the process finishes. **This is the right choice for almost every long-running task** — tests, builds, deployments, multi-item batch jobs, anything that takes over a minute and has a defined end. Use this and keep working on other things; the system notifies you on exit. MUTUALLY EXCLUSIVE with watch_patterns — when both are set, watch_patterns is dropped.", "default": false }, "watch_patterns": { "type": "array", "items": { "type": "string" }, "description": "Strings to watch for in background process output. HARD RATE LIMIT: at most 1 notification per 15 seconds per process — matches arriving inside the cooldown are dropped. After 3 consecutive 15-second windows with dropped matches, watch_patterns is automatically disabled for that process and promoted to notify_on_complete behavior (one notification on exit, no more mid-process spam). USE ONLY for truly rare, one-shot mid-process signals on LONG-LIVED processes that will never exit on their own — e.g. ['Application startup complete'] on a server so you know when to hit its endpoint, or ['migration done'] on a daemon. DO NOT use for: (1) end-of-run markers like 'DONE'/'PASS' — use notify_on_complete instead; (2) error patterns like 'ERROR'/'Traceback' in loops or multi-item batch jobs — they fire on every iteration and you'll hit the strike limit fast; (3) anything you'd ever combine with notify_on_complete. When in doubt, choose notify_on_complete. MUTUALLY EXCLUSIVE with notify_on_complete — set one, not both." } }, "required": [ "command" ] } } }, { "type": "function", "function": { "name": "text_to_speech", "description": "Convert text to speech audio. Returns a MEDIA: path that the platform delivers as native audio. Compatible providers render as a voice bubble on Telegram; otherwise audio is sent as a regular attachment. In CLI mode, saves to ~/voice-memos/. Voice and provider are user-configured (built-in providers like edge/openai or custom command providers under tts.providers.), not model-selected.", "parameters": { "type": "object", "properties": { "text": { "type": "string", "description": "The text to convert to speech. Provider-specific character caps apply and are enforced automatically (OpenAI 4096, xAI 15000, MiniMax 10000, ElevenLabs 5k-40k depending on model); over-long input is truncated." }, "output_path": { "type": "string", "description": "Optional custom file path to save the audio. Defaults to ~/.hermes/audio_cache/.mp3" } }, "required": [ "text" ] } } }, { "type": "function", "function": { "name": "todo", "description": "Manage your task list for the current session. Use for complex tasks with 3+ steps or when the user provides multiple tasks. Call with no parameters to read the current list.\n\nWriting:\n- Provide 'todos' array to create/update items\n- merge=false (default): replace the entire list with a fresh plan\n- merge=true: update existing items by id, add any new ones\n\nEach item: {id: string, content: string, status: pending|in_progress|completed|cancelled}\nList order is priority. Only ONE item in_progress at a time.\nMark items completed immediately when done. If something fails, cancel it and add a revised item.\n\nAlways returns the full current list.", "parameters": { "type": "object", "properties": { "todos": { "type": "array", "description": "Task items to write. Omit to read current list.", "items": { "type": "object", "properties": { "id": { "type": "string", "description": "Unique item identifier" }, "content": { "type": "string", "description": "Task description" }, "status": { "type": "string", "enum": [ "pending", "in_progress", "completed", "cancelled" ], "description": "Current status" } }, "required": [ "id", "content", "status" ] } }, "merge": { "type": "boolean", "description": "true: update existing items by id, add new ones. false (default): replace the entire list.", "default": false } } } } }, { "type": "function", "function": { "name": "video_analyze", "description": "Analyze a video from a URL or local file path using a multimodal AI model. Sends the video to a video-capable model (e.g. Gemini) for understanding. Use this for video files — for images, use vision_analyze instead. Supports mp4, webm, mov, avi, mkv, mpeg formats. Note: large videos (>20 MB) may be slow; max ~50 MB.", "parameters": { "type": "object", "properties": { "video_url": { "type": "string", "description": "Video URL (http/https) or local file path to analyze." }, "question": { "type": "string", "description": "Your specific question about the video. The AI will describe what happens in the video and answer your question." } }, "required": [ "video_url", "question" ] } } }, { "type": "function", "function": { "name": "vision_analyze", "description": "Load an image into the conversation so you can see it. Accepts a URL, local file path, or data URL. When your active model has native vision, the image is attached to your context directly and you read the pixels yourself on the next turn — call this any time the user references an image (filepath in their message, URL in tool output, screenshot from the browser, etc.). For non-vision models, falls back to an auxiliary vision model that returns a text description.", "parameters": { "type": "object", "properties": { "image_url": { "type": "string", "description": "Image URL (http/https), local file path, or data: URL to load." }, "question": { "type": "string", "description": "Your specific question or request about the image. Optional context the model uses on the next turn after seeing the image." } }, "required": [ "image_url", "question" ] } } }, { "type": "function", "function": { "name": "write_file", "description": "Write content to a file, completely replacing existing content. Use this instead of echo/cat heredoc in terminal. Creates parent directories automatically. OVERWRITES the entire file — use 'patch' for targeted edits. Auto-runs syntax checks on .py/.json/.yaml/.toml and other linted languages; only NEW errors introduced by this write are surfaced (pre-existing errors are filtered out).", "parameters": { "type": "object", "properties": { "path": { "type": "string", "description": "Path to the file to write (will be created if it doesn't exist, overwritten if it does)" }, "content": { "type": "string", "description": "Complete content to write to the file" } }, "required": [ "path", "content" ] } } } ], "message_count": 132, "messages": [ { "role": "user", "content": "[M G] Aspect ratio stimmt nicht, bzw oben und unten sind schwarze balken und das sichtbare bild ist in der höhe zusammengestaucht." }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_SzTTY979Trq3jNtoUiptAls5", "call_id": "call_SzTTY979Trq3jNtoUiptAls5", "response_item_id": "fc_041f677d7aa57418016a152937c5f0819196d75d08e46b6cf0", "type": "function", "function": { "name": "skill_view", "arguments": "{\"name\":\"social-media-shorts-automation\"}" } } ], "finish_reason": "tool_calls", "reasoning": "**Considering video response**\n\nI think I need to respond regarding the previous video, but I might need more context about AutoShorts. Maybe I should ask the user for clarification? I could suggest a fix using ffmpeg, but I wonder if that's necessary given the current situation. The user mentioned aspect ratio, which is important for social media shorts. It could be useful to explore skills related to social media shorts or growth while addressing this.", "reasoning_content": "**Considering video response**\n\nI think I need to respond regarding the previous video, but I might need more context about AutoShorts. Maybe I should ask the user for clarification? I could suggest a fix using ffmpeg, but I wonder if that's necessary given the current situation. The user mentioned aspect ratio, which is important for social media shorts. It could be useful to explore skills related to social media shorts or growth while addressing this.", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqFSk3kI_hclDPvBtw2nE0r_AZIS1oAL8jlGoopdcNqOT7UdhovaDHHN3V9Ghk-SDyGbcBC99UwRk8l9_TOR8qzI1yFrE6GJI2lBVvbIHuakFQ6A_X_0LR_mFczbYeQoUasrIm1Xwhb1APHx4zXMxrEq0CIenYXiLGsRnVwEqOY4QqFD5sMcUZmRCOZL_Axkj4ibbU0OF4nPR-4zmT5_yR6_6zZNzYUpHJ9bi4IQVx_PEhUXB3KDQ3cz1vI4LjO4AV9bShky0vhtxgZCG-CyhxsUhHVIdmCSGNhMMnGVth3mitvmBjpgqF2OnXJCdN3soGy7LeCUkffrgexxSouUDlwKwcRfYzTrKuv-0ihDmBsvNVd3SUFIpd8LO1svw0d1s7D9keV2-JSeXSAyFh0bps2qeM4KCqCStsnrgAwkoxBlGzh9zutXDj-_ZGasq-2wbZolHm0cM_srWqBKrcumkuQGLFTKTd-PfxgyzIOtSupFon95ixnmgwqyICXuBoxzLgzvbbVJJiyPrf-kyvP0FBWmLZAgpMuRn8dv_ot69YbXgokcep-fHS9oxLoIgaLg49uxT8xFK2ZtgQt8vaEThUZS2-vYzWyB_4RYukEmIh0eRJEhfCNFx99LO4xX7dfYuPGEht7TgJzQRBhDA_PBbLaWFom0Jk5xkEbMCzqSQ0Ke2EwC54fEGRAO4qt8CKjsCe0b31JfNDbRegp4t_Qp1ZBifW3limcDaGwJmV_dIKGfMMZtabGuqermIz-LtlYPZs-_iILRgQ8A0W4gYDJPNAVwYTjRFCerWeT4GyaZCtp_kmqX2nfq0Y-Qz6EcXHJ03mdW-W-1gZrbg5tS3aAapDP_h0torRWvpX1wwalS-zRRcw1QHCaI_I2NCxtCAH9xHBk5EKdgqvbbgW9kVlC9xR9Q4NlCeXaqApIhvvysf9zBNp1TS7zuI8hoFHrxqstWT6iUiHQa_vnYr2wPp3eUKqgYELbKgBo5ZclrBH7jcP1gyzFePyMVWlQ7cmZbPg2owRnRHtSix23DRfATyQx-EDDOeoLo4EWuMajClqVCwj7crmm4G96YiO7QyoB_efvb-5-DRwjmBJU4-Jx5tRmTQePRzoN9C67Te50traUnbAD_HB8WNuatQguNOAnfOEG-_DauBrj7eE267-tAzskD5IvZDkESsp3w7gisf40hejSrxEIKcEZW1ffQSktVIQ79PRFqt4zay9XnUFBFxWhoDJdNWza0TcQwrrGicN8i5Afi_1Izob4yUucnD0soo2xHewtQuy4GpVpSS5Jd_Hjjxt2PNP6JiqBVVgm-3oDhC3siegDpZbLMP3Bmg04gcK9e3Bsgxc4qZ1gobvSj_QJ_x3dJS_tA==", "id": "rs_041f677d7aa57418016a15293353dc8191a723934f839d030b", "summary": [ { "type": "summary_text", "text": "**Considering video response**\n\nI think I need to respond regarding the previous video, but I might need more context about AutoShorts. Maybe I should ask the user for clarification? I could suggest a fix using ffmpeg, but I wonder if that's necessary given the current situation. The user mentioned aspect ratio, which is important for social media shorts. It could be useful to explore skills related to social media shorts or growth while addressing this." } ] } ] }, { "role": "tool", "content": "{\"success\": true, \"name\": \"social-media-shorts-automation\", \"description\": \"Design, generate, review, publish, and optimize automated short-form social videos across YouTube Shorts, TikTok, Instagram Reels, and related channels.\", \"tags\": [\"shorts\", \"tiktok\", \"youtube-shorts\", \"reels\", \"creator-monetization\", \"content-automation\", \"social-media\"], \"related_skills\": [], \"content\": \"---\\nname: social-media-shorts-automation\\ndescription: Design, generate, review, publish, and optimize automated short-form social videos across YouTube Shorts, TikTok, Instagram Reels, and related channels.\\nversion: 1.0.0\\ntags: [shorts, tiktok, youtube-shorts, reels, creator-monetization, content-automation, social-media]\\n---\\n\\n# Social-Media Shorts Automation\\n\\nReference note: see `references/controlled-pilot-production-v2.md` for the controlled first-video workflow: resource tiers, media-generation gates, pilot package shape, Wan prompt planning without generation, and no auto-posting. See `references/pilot-preview-render-v2.md` for the next approval step: `APPROVED_FOR_PREVIEW_RENDER`, EdgeTTS preview audio, time/word cue generation, deterministic 9:16 animatic MP4, checksums, and Telegram media delivery without Wan/AI-image/platform side effects. See `references/static-active-word-captions-and-final-pilot-render.md` for the corrected caption style and controlled final pilot render pattern: static 3–7 word phrase segments with only the active spoken word highlighted, hash-bound final render gates, one Wan text-free background layer, deterministic overlays, and draft-only manual posting packages. If a final render is rejected as preview-overlay-dominated or not visual-first, follow `references/visual-first-final-render-repair.md`: mark the render rejected/not-postable, fix Wan output parsing, enforce final overlay limits, produce only a short visual proof under `APPROVED_FOR_VISUAL_PROOF`, and do not run another full final until the visual direction is accepted. If even the visual proof is rejected as abstract/generic/dark or “blind T2V”, switch to `references/keyframe-first-final-visuals.md`: plan and approve start/end/style keyframes first, then run only a short I2V/first-last-frame proof with minimal renderer-owned overlays. If the user says the production method itself is wrong, keyframes are not I2V-ready, or an animatic was incorrectly substituted for a failed Wan proof, follow `references/visual-production-reset-i2v-first.md`: reject/audit the proof, stop content rendering, run technical I2V sanity first, then generate at most three styleframes for direction review. If deterministic layout proofs are useful as composition blueprints but rejected as too wireframe/PowerPoint for final style, switch to `references/premium-ai-styleframe-direction.md`: use the layouts only as mechanism blueprints, generate at most 3 tightly briefed premium text-free AI styleframes, deliver a contact sheet with verified media metadata, and keep Wan/I2V/endframes/full-final blocked until style direction approval. If those premium styleframes are better quality but still too abstract, switch to `references/real-life-premium-styleframes.md`: anchor the mechanism in a realistic work/meeting/desk scene, keep all readable overlays renderer-owned, generate at most 3 new real-life styleframes plus contact sheet, and still block Wan/I2V/endframes/full-final until explicit approval. If the user approves one or more real-life styleframe directions but wants to compare A/B/C before Wan, use `references/prerelease-animatic-preview.md`: build only a small AI-keyframe + deterministic-motion animatic per approved direction, reuse existing voiceover/captions, deliver MP4/contact/QA sheets with metadata, and keep Wan/I2V/final/posting blocked. If the user then rejects the renderer-added circles/arrows/labels/boxes/decision-target markers as destroying the premium look, switch to `references/clean-image-cut-no-overlay-pilot.md`: render only AI images + voiceover + clean subtitles, with a hard subtitles-only NoOverlayPolicy and no Wan/I2V/full-final/posting. If the user performs a strategic reset because the pilot is pretty but semantically weak, stop optimizing that candidate and follow `references/proof-short-real-problem-reset.md`: archive the old pilot as a learning case, enforce the Pretty Empty Visual Blocker, and build a screen/mockup-led Proof Short around an immediately visible real viewer problem before any premium/Wan production. If the next review focuses on image provider quality/provenance or subtitles running off-screen, follow `references/image-provider-audit-and-caption-safezone.md`: audit the configured image provider/model/tier from config + provider registry + cache metadata, run at most one neutral capability test, keep UI/invoice mockups deterministic, and add tested caption layout safe-zone bounds before re-rendering. If an approved Proof Short feels too visually flat and the user asks why no AI images were used, follow `references/proof-short-ai-visual-upgrade.md`: use AI images as a controlled text-free atmosphere/background/keyframe layer while keeping invoices, emails, payment routes, labels, facts, and captions deterministic renderer-owned. For the concrete rendering/QA pattern — small 2–3 keyframe pass, contact-sheet inspection, discard pseudo-text frames, blur/darken/subordinate AI backgrounds, and report used/discarded keyframes — see `references/proof-short-ai-background-rendering-qa.md`. For the follow-up A/B test where the user asks whether pure KI images can match or beat hybrid mockups, see `references/clean-ai-cut-vs-hybrid-mechanism.md`: compare clean image-only premium feel against mechanism clarity, keep word-aligned subtitles, and consider `90% clean AI images + 10% minimal deterministic mechanism` as the likely next style.\\n\\nUse this skill when building or operating systems that generate short-form social videos, especially faceless or semi-automated pipelines for YouTube Shorts, TikTok, Instagram Reels, Facebook Reels, Pinterest video pins, X video, or LinkedIn video.\\n\\n## Core principle\\n\\nTreat the system as a **Shorts Growth Engine** / **semi-automatic Retention Studio**, not merely a renderer. A working video generator can still fail if it produces generic, low-retention, AI-slop content. Optimize for audience identity, hook quality, retention mechanics, visual mechanism reveals, platform fit, and analytics feedback. For the user's strongest strategic direction, see `references/retention-studio-strategy.md`.\\n\\nFor this user's AutoShorts workflows, approval previews should be German for concept comprehension, while final social-media videos should remain English unless explicitly changed. Treat preview legibility as a quality gate: readable font sizes, pixel-width-aware line wrapping, no clipped words, and no overcrowded cards.\\n\\nFor the user's TrueTraceShorts / AutoShortsBot strategy, do **not** default to a narrow AI/prompt-tips channel. The current strategic direction is broader: explain hidden digital everyday mechanisms — AI, work, attention, decisions, scams, productivity, workflows, social search — and end each video with one small system rule that fixes the outcome. Use the frame `Trace the hidden system. Fix the outcome.` AI should remain an important pillar, but normally only about 30–40% of the topic mix, not the whole product. See `references/truetrace-strategic-neuausrichtung.md`.\\n\\nWhen the user asks to start implementation work on this strategy, especially “Sprint 1: Strategic Spine Refactor”, follow `references/truetrace-strategic-spine-refactor-v2.md`: implement a side-effect-free V2 spine in parallel to existing V1 models, with mandatory strategic fields, hard quality gates, anti-AI-slop blockers, hash/version-bound ReviewPackageV2, and tests before integration with renderers or platform workflows.\\n\\nWhen the user asks for “Sprint 1.5” or to make the V2 spine operational without production, follow `references/truetrace-v2-operational-bridge.md`: first secure/commit the Sprint-1 baseline, then add only minimal side-effect-free bridges (`to_candidate_v2`, `workflow_v2`, `demo_review_batch_v2`), deterministic ReviewPackageV2 JSON, strict approval parsing, calibrated non-generous scoring, anti-example/human-texture gates, minimal manual claim/disclosure stubs, LinkedIn manual metadata, and a Remotion-as-later-spike note. Keep it capped at 3 demo candidates and avoid rendering, platform APIs, dashboards, auto-posting, or 30-day batches.\\n\\n## Retention-Studio / Mechanism-Reveal Pipeline\\n\\nFor quality-first automated Shorts, especially Hidden Money & AI Systems concepts, prefer the pipeline documented in `references/retention-studio-pipeline-pattern.md`:\\n\\n```text\\nstrategy → scored ideas → mechanism explainer → shot plan → keyframe/I2V prompt plan → seeded clip jobs → clip review → deterministic final renderer\\n```\\n\\nWhen implementing a new repo or core pipeline, first scaffold the approval-first typed artifact chain in `references/approval-first-retention-studio-core.md`:\\n\\n```text\\nContentPillar → ContentBrief → ScriptDraft → VideoCandidate → TestBatch → ReviewBatch → Telegram ReviewDelivery → ShotPlan\\n```\\n\\nHard rule for this class: AI-video clips provide photorealistic texture and motion only. Captions, numbers, labels, arrows, UI text, price/risk/margin layers, and factual claims are renderer-owned. Final content should keep `static_card_limit = 0`, use visual changes every 1–2 seconds, and reject technically successful clips that do not serve the retention beat.\\n\\nBefore video generation, build an inspectable content-to-review spine: `ContentBrief → ScriptDraft → CandidateDraft → VideoCandidate → TestBatch → ReviewBatch → Telegram ReviewDelivery`. Keep it deterministic, side-effect free, and human-approval-first so hooks, retention beats, visual concepts, policy notes, and review copy can be optimized before spending GPU/API time. See `references/content-to-review-pipeline.md` for the implementation pattern and guardrails.\\n\\nHard rule for this class: AI-video clips provide photorealistic texture and motion only. Captions, numbers, labels, arrows, UI text, price/risk/margin layers, and factual claims are renderer-owned. Final content should keep `static_card_limit = 0`, use visual changes every 1–2 seconds, and reject technically successful clips that do not serve the retention beat.\\n\\n## Recommended workflow\\n\\n1. **Define channel position**\\n - Niche(s): e.g. life optimization, AI life systems, Christian faith/FaithTok.\\n - Target audience and emotional problem.\\n - Language and tone.\\n - Whether the brand is faceless, AI-persona-led, or creator-led.\\n - No-go topics and theological/ethical boundaries if faith-related.\\n\\n2. **Generate test ideas before code-heavy automation**\\n - Create 20–30 candidate ideas across 2–4 content pillars.\\n - For each: hook, script kernel, visual concept, caption, CTA, risk/quality score.\\n - Select a small first batch (e.g. 3 per pillar) for real testing.\\n - Before renderers or external AI APIs, add a deterministic content-development core: `ContentPillar → ContentBrief → ScriptDraft → CandidateDraft → VideoCandidate`. See `references/content-development-core.md`.\\n\\n3. **Use hook-first, retention-led scripting**\\n - First 1–2 seconds must contain a clear tension, identity statement, pain point, contrarian line, or immediate self-recognition.\\n - Prefer one idea per video over generic “4 tips” unless the list format is the explicit series.\\n - Avoid generic advice viewers have already heard unless framed with a new angle, concrete payoff, or strong story.\\n - For TrueTraceShorts, prefer the structure `visible fail → identification → mechanism → fix → before/after → memorable takeaway` over generic AI-tip narration. Every video must answer: what goes wrong, why it happens, what rule fixes it, what sentence sticks, why viewers save/share it, and why they follow the series.\\n - For unvalidated first pilots, apply the `Pretty Empty Visual Blocker`: if the first frame is beautiful but does not show a concrete viewer pain without voiceover, block the concept and switch to a Proof Short. Do not keep polishing abstract AI visuals, glass metaphors, or generic laptop B-roll before validating the real problem. See `references/proof-short-real-problem-reset.md`.\\n - After a Proof Short concept is approved for usefulness/clarity, do not interpret `ProofShortMode` as a permanent ban on AI images. If the user wants the video “aufgepeppt”, add a controlled AI visual-upgrade layer: 2–3 text-free premium backgrounds/keyframes, while all invoice/email/UI/payment-route text, labels, facts, captions, claims, and red-flag overlays remain deterministic renderer-owned. See `references/proof-short-ai-visual-upgrade.md`.\\n - Reward hooks with direct address, specificity, open loops, tension, and a visible payoff; reject slow intros such as “In this video...”.\\n - See `references/retention-led-shorts.md` for scoring signals, penalties, and voiceover finalization rules.\\n\\n4. **Quality gate before rendering**\\n Score drafts on:\\n - hook strength\\n - novelty\\n - emotional pull\\n - clarity\\n - retention risk\\n - comment/share potential\\n - AI-slop risk\\n - platform/policy risk\\n - first-frame clarity\\n - mechanism value\\n - practical payoff\\n - save/share/follow reason\\n - trust/human texture\\n - series fit and saturation defense\\n Render only drafts above the chosen threshold, e.g. 8/10.\\n For TrueTraceShorts, use the 100-point scoring and hard blockers in `references/truetrace-strategic-neuausrichtung.md`: block generic AI hooks, pure text first frames, unsourced claims, missing before/after, missing human texture, unclear AI disclosure, and candidates too similar to recent videos.\\n\\n5. **Visual strategy**\\n - Avoid obvious AI artifacts, fake UI text, illegible generated lettering, generic charts, and soulless stock visuals.\\n - Prefer high-contrast kinetic captions, visible hook text in first seconds, relatable B-roll, screen recordings for AI/tutorial content, phone/screen close-ups, before/after transformations, cards, and timer visuals.\\n - Use pattern interrupts every 2–3 seconds for retention.\\n - Before rendering, generate a shot plan from the finalized voiceover: first-frame hook, pattern interrupt, core explanation, screen/card visual, CTA, caption beats, and asset type.\\n - Before writing a renderer, convert shot plans into deterministic render manifests: machine-readable timeline items, asset placeholders, caption tracks, style constraints, and approval constraints. See `references/render-manifest-pipeline.md`.\\n - Treat this as a deterministic intermediate artifact, not optional prose. See `references/retention-render-planning.md` for the five-scene shot-plan pattern and renderer-facing fields.\\n - For the first video output, build a manifest-driven preview renderer before any AI-video or polished asset pipeline: first create a side-effect-free local preview plan, then write deterministic PNG scene cards, then build a side-effect-free FFmpeg concat plan, and only then call FFmpeg from an explicit renderer boundary. The boundary should report side effects such as `write_png`, `write_concat`, `call_ffmpeg`, and `write_mp4`; keep generated PNG/MP4 artifacts out of Git. See `references/manifest-preview-renderer.md`.\\n - When the user rejects static/slideshow output, add an `asset_plan.v2` layer that maps each scene to motion-led local asset modes such as `cinematic_ai_video`, `screen_recording_simulation`, `mechanism_animation`, or `kinetic_text_overlay` with no baked text. If the user requires a free workflow, do not depend on paid video-credit tools; use local procedural motion and optional free NVIDIA LLM text refinement. See `references/ai-video-asset-planning.md`.\\n - For hybrid workflows, add an imported-clip assembly layer: provider handoff prompts create short manual AI-video clips, humans drop them into deterministic `data/imported_ai_clips//scene_XX.mp4` paths, and the final renderer combines imported clips with local mechanism animations/captions. See `references/imported-ai-clip-assembly.md`.\\n - For local Wan2.2 quality workflows, prefer keyframe/image-to-video over raw text-to-video: generate/select a clean keyframe, run native Wan2.2 I2V variants, review clips bluntly for subject clarity/motion/artifacts, then add all labels/numbers/captions via deterministic renderer. See `references/wan-i2v-retention-studio.md`.\\n - For final renders, Wan must carry the visual scene, not merely provide a blurred/looped background underneath preview cards. Use full-bleed, scene-specific Wan clips, minimal renderer-owned overlays, and a final overlay policy that blocks preview frames, large UI cards/textboxes, debug bars, and overlay overload. If architecture is rejected, create a short visual proof first; see `references/visual-first-final-render-repair.md`.\\n - If a visual proof still looks like blind text-to-video or random abstract AI output, stop T2V and move to a keyframe-first workflow: generate/approve 1–2 text-free start/end/style keyframes for the scene, then attempt only a short Wan I2V/first-last-frame proof. See `references/keyframe-first-final-visuals.md`.\\n - When using NVIDIA Build/API Catalog for keyframes, prefer hosted `ai.api.nvidia.com` calls before considering self-hosted NIM deployment; implement a configurable model fallback chain, store the key as a runtime secret, and inspect/clean logos, emblems, license plates, and fake text before I2V. See `references/nvidia-keyframe-generation.md`.\\n\\n6. **Social-media draft and content-preview approval packages before TTS/rendering polish**\\n - Before TTS, platform APIs, or polished video generation, build a typed `SocialMediaDraft` from the approved candidate plus render manifest/preview.\\n - Include platform targets, title variants, caption, hashtags, CTA, hook, duration, quality/risk summary, and preview reference.\\n - Render this into a Telegram-safe approval message and wrap it in a side-effect-free delivery plan with `requires_human_approval=True` and `side_effects=()`.\\n - After a local MP4 timing preview exists, combine the MP4 path plus social draft review into a side-effect-free content preview approval package. This package should carry `approval_language=de`, `final_video_language=en`, explicit approval commands, no external calls, and no side effects.\\n - Add local demo CLIs that print metadata first, then review text; draft-only CLIs must not write files, call renderers, call Telegram, or access credentials. MP4 preview CLIs may write local artifacts and call FFmpeg only at explicit renderer boundaries that report side effects.\\n - See `references/social-draft-approval-package.md` and `references/content-automation-patterns.md` for concrete artifact sequence, user-specific language rules, and external workflow patterns.\\n\\n7. **Human approval loop before posting**\\n - Send preview to the user through the requested channel, usually Telegram.\\n - Include: video or preview reference, title, caption, hashtags, platform recommendation, duration, quality/risk score.\\n - When sending multiple preview videos, verify and label distinct artifacts before delivery: candidate ID/title, absolute path, duration, and preferably checksum/hash. If several previews are visually similar timing cards, do not spam them as separate unlabeled media; send a concise indexed list first or bundle with clear labels so the user can tell them apart.\\n - Wait for explicit approval such as `Freigabe alle`, `Freigabe YouTube`, `Freigabe TikTok`, `Ablehnen`, or `Ändern: ...`.\\n - Do not publish automatically unless the user has explicitly authorized that workflow.\\n\\n8. **TTS / voice layer after draft approval**\\n - Treat TTS as a later layer, not the starting point for a first post draft.\\n - Decide voice, final voiceover script, words-per-second, scene timing, caption sync, audio format, provider, and separate voice approval only after the social draft package is reviewable.\\n - This avoids spending TTS/rendering effort on unapproved hooks, captions, or platform positioning.\\n - For final-near previews, keep one copy source of truth: final voiceover → script draft/retention beats → shot plan → top card text → scene captions → subtitle track → TTS audio. Do not mix old approval-card text with new spoken/subtitle text.\\n - If the user says the result is too abstract/abgehoben, rewrite around a concrete beginner-friendly everyday failure example before polishing visuals. Prefer “one weird email arrives” / missing field / unclear request / wrong confident action over jargon such as `exception path`, `input boundary`, or `output standard`. See `references/beginner-friendly-audio-caption-alignment.md`.\\n - If the user says subtitles are irritating or not simultaneous with voiceover, treat this as a blocking quality issue: use forced alignment or provider word-boundary events before sending another final-near clip. For EdgeTTS previews, request `boundary='WordBoundary'` and render active-word highlights from those offsets; do not merely distribute words evenly over sentence SRT durations. For this user's AutoShorts/TrueTraceShorts default, do **not** show one word alone and do **not** slide a changing word-window every word. Use static phrase segments: keep 3–7 words fixed on screen while only the currently spoken word highlights/pulses left-to-right; replace the full segment only at a sentence/phrase boundary. See `references/static-active-word-captions-and-final-pilot-render.md`.\\n - If the user says the ending is confusing, rushed, or does not offer a real solution, treat this as a content-blocking issue, not a minor copy tweak. Rewrite the final third so non-technical viewers are explicitly walked through the concrete action: what to close/avoid, what to open/check instead, how they know it worked, and the memorable rule/fazit. Avoid vague imperatives like “open the service yourself” unless immediately unpacked with a concrete example such as “close the invite; open the calendar/work app from the normal icon or bookmark; if the meeting is real, it will still be there.”\\n - If deterministic layouts explain the mechanism but look like wireframes/PowerPoint, do not promote them to final style.\\n - If deterministic layouts explain the mechanism but look like wireframes/PowerPoint, do not promote them to final style. Treat them as composition blueprints and run a small, tightly prompted premium AI styleframe pass instead: AI supplies glassmorphism/product-film quality and atmosphere; the renderer still owns labels, arrows, captions, facts, and final assembly. See `references/premium-ai-styleframe-direction.md`.\\n - If premium AI styleframes improve quality but still feel like abstract SaaS symbolism, do not continue iterating abstract funnels/rings. Move to real-life anchored work scenes: desk/laptop, empty meeting room/glass board, or project table/work evidence, with only subtle glass/holographic mechanism overlays. See `references/real-life-premium-styleframes.md`.\\n - If real-life styleframe directions are accepted but the user has not approved Wan/I2V yet, insert a pre-release animatic comparison step rather than jumping to endframes or video generation. Create small per-direction AI keyframe sets, deterministic push-ins/crossfades, existing voiceover, static active-word captions, contact sheets, and QA frame sheets; report Telegram delivery metadata. See `references/prerelease-animatic-preview.md`.\\nIf the user rejects the added visual explanation overlays as making the result look like a technical explainer board, treat this as a hard style failure. For the clean pilot, use only AI images, voiceover, and clean subtitles; block circles, arrows, labels, boxes, connector lines, decision-target markers, debug/diagram elements, and caption boxes/bars. See `references/clean-image-cut-no-overlay-pilot.md`. If the user then asks whether pure KI-Bilder can achieve the same or better effect, run an A/B proof against the hybrid version and assess premium look vs mechanism clarity; the likely final style may be `90% clean AI images + 10% minimal renderer-owned mechanism`. See `references/clean-ai-cut-vs-hybrid-mechanism.md`.\\n - For mechanism-reveal final renders, use the hybrid pattern in `references/final-motion-hybrid-rendering.md`: ChatGPT Image/Codex or similar tools create text-free scene backgrounds only; deterministic renderer owns cards, labels, arrows, subtitles, and FFmpeg assembly. Use compact phrase-boundary subtitle cues before 1080 export.\\n\\n9. **Publish and measure**\\n Track at minimum:\\n - platform, video id/url, niche, format, hook, duration\\n - views at 2h/24h/7d\\n - likes, comments, shares, saves, follows\\n - retention metrics if available\\n Use results to generate the next batch.\\n\\n## Platform duration/monetization notes\\n\\nSee `references/preview-media-delivery-guardrails.md` for avoiding duplicate-looking/unlabeled preview-video spam in Telegram review workflows.\\n\\nSee `references/truetrace-strategic-spine-refactor-v2.md` for implementing the new TrueTraceShorts strategy in code: V2 strategic models, hard gates, anti-AI-slop blockers, SeriesRegistry, 100-point scoring, hash-bound ReviewPackageV2, and deterministic five-candidate examples without rendering or platform side effects. See `references/truetrace-v2-operational-bridge.md` for the next implementation step: secure the Sprint-1 commit, add minimal side-effect-free bridge/workflow/CLI modules, deterministic ReviewPackageV2 JSON, strict approval parsing, calibrated scoring, anti-example/human-texture gates, manual claim/disclosure stubs, LinkedIn manual metadata, and Remotion-as-later-spike documentation without production expansion.\\n\\nSee `references/audio-caption-preview-pipeline.md` for the approval-first EdgeTTS + ASS subtitles + FFmpeg review-MP4 pipeline, including actual-audio-duration probing and the explicit `preserve_video` vs `trim_to_audio` duration-mode guardrail. See `references/pilot-preview-render-v2.md` for the stricter first-pilot preview pattern: preview-only approval state, EdgeTTS sentence SRT to preview word cues when forced alignment is unavailable, deterministic card/diagram animatic rendering, SHA256/duration verification, and Telegram media delivery while Wan/AI-image/platform calls remain blocked. See `references/static-active-word-captions-and-final-pilot-render.md` for the corrected Hormozi-style caption behaviour and the one-render final pilot review-package checklist. See `references/word-boundary-caption-sync-and-solution-gate.md` for the stronger EdgeTTS `WordBoundary` timing pattern and the explicit solution/fazit gate for Proof Shorts.\\n\\nSee `references/final-motion-hybrid-rendering.md` for the final-near hybrid renderer pattern: ChatGPT Image/Codex or other AI tools provide text-free background/keyframe texture while deterministic renderer overlays own text, arrows, labels, captions, and final assembly. For quick prototypes, prefer ChatGPT Image/Codex backgrounds before local Qwen/ComfyUI unless privacy/cost/local-only constraints dominate. After a 1080 export, create a side-effect-free final approval package with media path, SHA256, platform metadata, social copy, quality notes, and approval commands before any delivery or platform step.\\n\\nSee `references/visual-first-final-render-repair.md` for the repaired final-render architecture after a rejected pilot: mark rejected renders as not-postable, avoid preview-board overlays, enforce `FinalOverlayPolicy`, validate ComfyUI/Wan output histories robustly, and use `APPROVED_FOR_VISUAL_PROOF` for one short visual proof before any second full final.\\n\\nSee `references/hybrid-scene-backgrounds-codex.md` for the concrete ChatGPT Image/Codex scene-background workflow: side-effect-free `SceneBackgroundPlan`, per-scene text-free backgrounds, renderer-owned overlays, and visual QA before review delivery. Prefer this over local Qwen/ComfyUI when the user allows Codex image generation and local GPU should be reserved for video/model work.\\n\\nSee `references/monetization-and-approval-notes.md` for current working notes captured from official YouTube/TikTok docs and the recommended approval/posting setup. See `references/retention-led-shorts.md` for retention scoring signals, no-faith/adjacent-pillar handling, and voiceover finalization rules. See `references/render-manifest-pipeline.md` for the script → shot plan → render manifest → renderer sequence that prevents generic AI slideshow output. See `references/manifest-preview-renderer.md` for the first deterministic Pillow/FFmpeg preview-renderer pattern. See `references/local-preview-frame-writer.md` for the staged `LocalPreviewPlan → PNG scene cards → FFmpeg concat plan` boundary before MP4 rendering. See `references/social-draft-approval-package.md` for the typed first-post approval package to build before TTS or platform APIs. See `references/content-automation-patterns.md` for public workflow patterns, queue/status/cost tracking, versioned approval, synthetic-content disclosure, originality gates, and the user's German-preview/English-final rule. See `references/ai-video-asset-planning.md` for motion-led final-render asset planning with Kling/Hailuo/Runway-style clips and screen simulations. See `references/imported-ai-clip-assembly.md` for hybrid assembly where manually generated provider clips are imported into a deterministic local renderer. See `references/nvidia-keyframe-generation.md` for NVIDIA-hosted keyframe generation, model fallback, secret handling, and pre-I2V logo/plate cleanup. Re-check official docs before making business-critical decisions because platform programs change often.\\n\\n## Project/repo hygiene for automated video bots\\n\\n- Keep source code in Git; keep generated videos, assets, `.env`, OAuth tokens, API keys, and downloaded secrets out of Git.\\n- Use `.gitignore` aggressively for outputs, media caches, local credentials, and temp files.\\n- Store platform credentials as runtime secrets; never print raw tokens.\\n- Build the repo as modular components: idea generation, scripting, rendering, review, publishing, analytics.\\n- For approval-first Retention Studio implementations, use a typed side-effect-free core before real I/O: `ContentBrief`, `ScriptDraft`, `VideoCandidate`, review batches, Telegram delivery plans, then shot plans. See `references/approval-first-retention-studio-core.md`.\\n\\n## Sensitive-content positioning\\n\\nWhen AI/productivity automation is the primary brand, be cautious about mixing in religious/FaithTok, health, finance, or other high-trust themes. If the user flags the combination as sensitive, pause that pillar rather than forcing it into the same testbatch. Replace it with a safer adjacent pillar (for example `attention_design`) and document the paused pillar in config so it can be revisited only with explicit approval and a separate brand strategy.\\n\\n## Pitfalls\\n\\n- Do not send several generated preview videos as unlabeled media attachments just because they are distinct files. Telegram/mobile previews can make timing-card MP4s look identical. Verify uniqueness (path + title + hash/duration) and provide labels or an indexed summary; if the user complains about duplicate-looking media, stop resending, verify artifacts, and continue the pipeline.\\n- Do not let final-near preview layers drift apart: if the top field, voiceover, and subtitles do not say the same thing, rebuild the render plan from one final script source before sending another clip.\\n- Do not make broad-audience AI-system shorts sound like architecture lectures. For early-AI users, convert abstract workflow concepts into concrete everyday failures first, then reveal the principle.\\n- Do not over-optimize renderer quality before testing whether the content format earns retention.\\n- Do not keep iterating a polished pilot when the user identifies the core failure as “pretty but semantically weak.” Archive it as a learning case, preserve what worked, and restart with a Proof Short whose first second shows a real visible fail and an immediately useful rule.\\n- Do not overcorrect from “validate with Proof Shorts” into “never use AI images.” Once the real problem/rule is approved, AI images can legitimately improve perceived quality as text-free atmosphere, backgrounds, keyframes, or thumbnails. Keep factual UI/document/payment layers deterministic; use AI for polish, not truth.\\n- Do not let German approval previews become unreadable technical cards: use pixel-width-aware wrapping, readable fonts, limited line counts, visual checks for clipped/overcrowded text, and hard mobile safe-zone tests for captions/highlights before delivery.\\n- Do not confuse approval language with final audience language. For this user, approval previews are German by default; final social videos remain English unless explicitly changed.\\n- Do not copy public automation workflows wholesale: keep their queue/status/cost tracking and template structure, but remove blind auto-publishing until a human approval/version lock exists.\\n- Do not mass-generate repetitive shorts without originality/inauthentic-content gates; this can harm monetization/account health and create AI slop.\\n- Do not jump directly from a script idea to ComfyUI/Wan/Qwen/Image/video generation. First build and inspect the content-to-review spine so weak hooks, generic scripts, policy issues, and static visual concepts are killed before render time.\\n- Do not assume local Qwen/ComfyUI is the best first image step for every final-near short. If the user permits ChatGPT Image/Codex, use it for text-free scene backgrounds/keyframes when the deterministic renderer owns labels/captions and local GPU should be saved for video/model work. When provider quality matters, verify the actual `image_gen.provider`/model from config and the image cache filenames/metadata rather than guessing; for premium styleframes prefer the highest available reasonable GPT Image tier, but keep fake invoice/email/UI/payment-route mockups deterministic.\\n- Do not create a parallel candidate path for content experiments; convert content artifacts into the existing candidate factory input so IDs, hashtags, duration classes, quality gates, and pillar/platform validation stay centralized.\\n- Do not use `x or default` for optional content/script overrides in factories; explicit blank strings and zero durations must pass through to validation so tests can catch them.\\n- Do not assume TikTok monetization rules match YouTube: TikTok Creator Rewards emphasizes 1min+ eligible videos, while shorter videos may still be better for growth.\\n- Do not treat a keyframe animatic as a successful Wan/I2V proof. If ComfyUI/Wan I2V fails or history contains no valid video output, label any fallback MP4 as `not_wan` / composition-review-only and block full-final progression.\\n- Do not treat deterministic layout proofs as the final premium visual style when the user asked for a high-end social-video look. Layouts are for mechanism composition; after approval, use a tightly scoped premium AI styleframe pass with strict negative prompts and verified delivery before endframes/Wan.\\n- Do not mistake premium abstract glassmorphism for an approved final direction if the user wants a credible everyday work scene. When the user says the motif is still too abstract, switch to real-life work-scene styleframes with laptop/tablet/meeting-room/project-table anchors; keep motion graphics subtle and renderer-owned.\\n- If the user rejects the production method itself, do not keep iterating content visuals. Reject/audit the proof, run a technical I2V sanity test with a trivial non-content image, and only after it passes generate a small set of styleframes for direction review; see `references/visual-production-reset-i2v-first.md`.\\n- Do not keep trying blind text-to-video after the user rejects a proof as abstract, dark, generic, or semantically ungrounded. Move to keyframe-first planning, review the keyframes, then run at most one short I2V/first-last-frame proof.\\n- Do not publish religious or health-adjacent content with overconfident claims; preserve humility, nuance, and platform safety.\\n- Do not rely on platform payout as the only monetization path; plan indirect monetization such as newsletter, templates, affiliates, digital products, or services.\", \"path\": \"social-media/social-media-shorts-automation/SKILL.md\", \"skill_dir\": \"/home/agent/.hermes/skills/social-media/social-media-shorts-automation\", \"linked_files\": {\"references\": [\"references/wan-i2v-retention-studio.md\", \"references/render-manifest-pipeline.md\", \"references/retention-studio-strategy.md\", \"references/premium-ai-styleframe-direction.md\", \"references/social-draft-approval-package.md\", \"references/static-active-word-captions-and-final-pilot-render.md\", \"references/word-boundary-caption-sync-and-solution-gate.md\", \"references/approval-first-retention-studio-core.md\", \"references/local-preview-frame-writer.md\", \"references/visual-first-final-render-repair.md\", \"references/preview-media-delivery-guardrails.md\", \"references/manifest-preview-renderer.md\", \"references/proof-short-real-problem-reset.md\", \"references/truetrace-strategic-neuausrichtung.md\", \"references/content-development-core.md\", \"references/ai-video-asset-planning.md\", \"references/approval-first-content-pipeline.md\", \"references/controlled-pilot-production-v2.md\", \"references/keyframe-first-final-visuals.md\", \"references/clean-image-cut-no-overlay-pilot.md\", \"references/clean-ai-cut-vs-hybrid-mechanism.md\", \"references/proof-short-ai-visual-upgrade.md\", \"references/beginner-friendly-audio-caption-alignment.md\", \"references/audio-caption-preview-pipeline.md\", \"references/pilot-preview-render-v2.md\", \"references/truetrace-strategic-spine-refactor-v2.md\", \"references/retention-studio-pipeline-pattern.md\", \"references/real-life-premium-styleframes.md\", \"references/monetization-and-approval-notes.md\", \"references/visual-production-reset-i2v-first.md\", \"references/image-provider-audit-and-caption-safezone.md\", \"references/content-to-review-pipeline.md\", \"references/retention-led-shorts.md\", \"references/final-motion-hybrid-rendering.md\", \"references/prerelease-animatic-preview.md\", \"references/imported-ai-clip-assembly.md\", \"references/hybrid-scene-backgrounds-codex.md\", \"references/content-automation-patterns.md\", \"references/retention-render-planning.md\", \"references/proof-short-ai-background-rendering-qa.md\", \"references/nvidia-keyframe-generation.md\", \"references/truetrace-v2-operational-bridge.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_SzTTY979Trq3jNtoUiptAls5" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_DswMsFlCITknAdtEZzYyVnDA", "call_id": "call_DswMsFlCITknAdtEZzYyVnDA", "response_item_id": "fc_04a14fd86c50e382016a15293d8c888191bdf9edbacd3fc4ee", "type": "function", "function": { "name": "session_search", "arguments": "{}" } } ], "finish_reason": "tool_calls", "reasoning": "**Inspecting file paths**\n\nI need to acknowledge that there might be a problem here. The user mentioned an aspect is wrong, which means I might need to inspect the actual file. It seems there could be a recent path that’s unknown to me. Should I use the session search? I notice there’s no prior context in this current session. They referred to an artifact from before, possibly from \"M G.\" I’ll find the recent work with a session search.", "reasoning_content": "**Inspecting file paths**\n\nI need to acknowledge that there might be a problem here. The user mentioned an aspect is wrong, which means I might need to inspect the actual file. It seems there could be a recent path that’s unknown to me. Should I use the session search? I notice there’s no prior context in this current session. They referred to an artifact from before, possibly from \"M G.\" I’ll find the recent work with a session search.", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqFSk9wip6EoL2ZZ1xBM9H_1S6YihGEzjlw-5wwIbg03s9v-IkTAVPCzSNOge5b6DEKSWe3xgqhHAkr73wNNyktQw-fhibAsk7fWYUkHTlhKCcjs6E3eYpUMKah3Qm4LTIe8tu4vByM6jQ7XM7DfikSl6T9sePTO2f8_Vfsz6_gkfktTkreNm2zNaTzLaj6wX5lDcHyO4Khc5MLaZDpecJUPR5zQwfAj3MTpXq1mdtoHu-85J9nrUT_Z6rXomUuoHtSqVq0FF28UykZUkpN3LUPe69EnXbZqY_CHOWFhnViZMlq-LR4beiHEk3kRoBzWJ8aHn0lCeFyRDlq3Kxve0fQICV_Z0L4GgDWWUFfTf-6cXcbHjK7En0QxJGy4TiqbiyuHDLVR4sNQTt-ileSOSnOD0lsnTLqdZXp9pTeDgSVNmcbWKPSMeAoMq37dJWvvQs-b9nAyMxrp_ZfEfUlAZCuaDx0Wy5ld4AnYMZbezAAyIcCJ4Xq8qUNvQ6ch6yJsFvmJ44Y5Ayf1bcsCq7ae5S_35-zGgjx60gHp9wnT2iv_Mf2KQjiIFa4lA39UIMVRrd7KEGHPR7aO4ZcXLpYJBQBIimzXO1e9Mti_C9puCe5Zh0QxJNebwlueSqHRs9swdbwigkUkZ0lT-3ZfTpLdlFR9AAu68vpBnoILB4VaVB-Qqau822XyOOJKhzL7CmCoERUOnbfbiKuHauk5F6Y8EwQAkrZ_UHYmjO4Aa94wPC_0XFlSekoOrJmAyn1aFyA8XohvncidE_ku3GeV48Uw6oUtzbn1wl1EocsGjsAraHZ1r6R3aQ8kPiXmucarPYlDCd-Rr4XrnM7OYzigQn6ypksw4eAgJZI7aWGeFnlEkBgc6wrlqCfTGa_pTT6FExxxvnWiZSp9_NwMiJhNZ1kZAtpSPji7K_5q4VSN3xPEWA5_T1Jy19BWLJhlKYwL1FOFiHWqU0WzgQ67MHVrALhXQPhJGaKim4-kBovIMQjqGHY6EMtoyTaaQc3V9XB6Mg9Zaw8-zYJhXojb168TN2rBCBVmH-CSVop4RtOiPRCcJ5kTivqd93_-4t8VoVLD8JJyWx5eZmGunmpsyjiPIkVNaSdFZUJ3TxsI0fFANOv31CIFpjgld-viScRuGxBQfLZm4Gm3rMFp54Q6V4j1E-GMyD_HvQOl0g_BGJvU1AhkHWhZwMjINCMeF-CnTQialUNelC24lTPR8uJqufPwq2xaEya0_LyJZzZ2dMTOXMJpHAsdPYkUZRQFKBqeidepY3YqY3fAJMyH33vz7GE-d2NzJQkzCMK02w6eGRcsOn2OEmvVwtcug=", "id": "rs_04a14fd86c50e382016a152938f01c8191a62eb56d4887fde8", "summary": [ { "type": "summary_text", "text": "**Inspecting file paths**\n\nI need to acknowledge that there might be a problem here. The user mentioned an aspect is wrong, which means I might need to inspect the actual file. It seems there could be a recent path that’s unknown to me. Should I use the session search? I notice there’s no prior context in this current session. They referred to an artifact from before, possibly from \"M G.\" I’ll find the recent work with a session search." } ] } ] }, { "role": "tool", "content": "{\"success\": true, \"mode\": \"recent\", \"results\": [{\"session_id\": \"cron_847bdbc26edf_20260526_050104\", \"title\": null, \"source\": \"cron\", \"started_at\": 1779764464.4670348, \"last_active\": 1779764595.6781967, \"message_count\": 5, \"preview\": \"[IMPORTANT: You are running as a scheduled cron job. DELIVER...\"}, {\"session_id\": \"20260525_225614_efb6a8\", \"title\": \"Subtitle-Sync und Video-Fazit #7\", \"source\": \"telegram\", \"started_at\": 1779689581.9546845, \"last_active\": 1779745030.2550206, \"message_count\": 92, \"preview\": \"[M G] Die subtitles sind nicht genau gleichzeitig mit dem vo...\"}, {\"session_id\": \"cron_78a4dd51c834_20260525_190017\", \"title\": null, \"source\": \"cron\", \"started_at\": 1779728417.46041, \"last_active\": 1779728436.9427297, \"message_count\": 4, \"preview\": \"[IMPORTANT: The user has invoked the \\\"health-management\\\" ski...\"}], \"count\": 3, \"message\": \"Showing 3 most recent sessions. Use a keyword query to search specific topics.\"}", "tool_call_id": "call_DswMsFlCITknAdtEZzYyVnDA" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_PleP2qf9bRd80YkxNxHCN5aS", "call_id": "call_PleP2qf9bRd80YkxNxHCN5aS", "response_item_id": "fc_0d8a9ca8cb86123d016a15293f52f881919801ec519a9f791f", "type": "function", "function": { "name": "session_search", "arguments": "{\"query\":\"aspect ratio OR schwarze Balken OR final_near OR subtitles OR video\",\"limit\":3}" } } ], "finish_reason": "tool_calls", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqFSk_56MlTjMndNSQWH4mZephj-7MVqpw4hc4H9Kpu1s1uhnIelSRgYpGuDAaHKW8OHo-AATgWZTvRg0utNurkw322D1Ym1A8Sl_2bGdvUunft4BE8Po0AtwPbGy_HueOe7t2uzoFsBPXHoZB2BCyRK8FVcb1bdPk40QriUXR5QU-pJUtyb-L4bdG64kaiXma_IVaAZBe-xwQQ9QwzvOXhPsI5xIPvcnNCXzk5hWq-XWBA37yLw90ycW7vivUV580YiqyDrtOFsBA2yhORBhkyezH6laZ6bbP1Q9FT1q08K4mDe6j2AkoZPt4jdqGha0L-L11fxmtk78DlOrGkGyeJORlLzAyBaVlVWQkgHrv1BZezYNbFt5Fz_NX9VqVqVqbBjK9OHM_XeFnHaozOncUm72o3nE7qG1XqbED5u-SDDwtDxGD4Q_EjDbqX9P15jhpzCV7gDc_02nD-SfN4s30oxkeKkPdM81PShYS--hpSAY5upiZNWTW873nxbmQ41n-aCI-tWpaudkNhVvycnLZ3SvHGZP4hG_Y2ca-J_4EI_w4yJTa-hTSynH-5_hZOHefR9o7WAzsv5YMAEjZ90TPN5iVZkGeZyI1TOolKIJT9bE30d0Y1pXwYybzfg0vgTK-aRKL_00AWDKuJUI2SbFJqmYRaIy8F1zFWT7T9i_NBl0Qv1QOWBqYhPB6-7TyL_jBmnNq4mv0ofSw2i864C73kOLeArGXyFXHTvmlhBEdsFxNkXSHbS_MG_Xbb71n4jCBpUi_4zWACuKu3q6Z6u59R5fSGTDdiXjC1kxCCJYtcFttWnszTQvWU9B2IImtUbglxdPoUJUs3n2nIua9NRSwhDAI0TTouwpkH322mpDn2wVOqWaj-mOftB3cZeATn5pNYV_JR1nEaadlu329qgMmvW_F4fhe3y9sXGriE5yocsLz0WIi7Sx9TXNwjm7fNG59-ivv8rWLvaNPCwLVHIDdlFDO3gLjftYkN2zsTrYCZlGZ-rY=", "id": "rs_0d8a9ca8cb86123d016a15293ebcd481919677f59e50d89eeb", "summary": [] } ] }, { "role": "tool", "content": "{\"success\": true, \"query\": \"aspect ratio OR schwarze Balken OR final_near OR subtitles OR video\", \"results\": [{\"session_id\": \"20260525_081301_675d674d\", \"when\": \"May 25, 2026 at 08:13 AM\", \"source\": \"telegram\", \"model\": \"gpt-5.5\", \"summary\": \"[Raw preview — summarization unavailable]\\n...[earlier conversation truncated]...\\n\\nrue, \\\"name\\\": \\\"social-media-shorts-automation\\\", \\\"description\\\": \\\"Design, generate, review, publish, and optimize automated short-form social videos across YouTube Shorts, TikTok, Instagram Reels, and related channels.\\\", \\\"tags\\\": [\\\"shorts\\\", \\\"tiktok\\\", \\\"youtube-shorts\\\", \\\"reels\\\", \\\"creator-monetization\\\", \\\"content-automation\\\", \\\"social-media\\\"], \\\"related_skills\\\": [], \\\"content\\\": \\\"---\\\\nname: social-media-shorts-automation\\\\ndescription: Design, generate, review, publish\\n…[truncated]\"}, {\"session_id\": \"20260524_091219_d252c13f\", \"when\": \"May 24, 2026 at 09:12 AM\", \"source\": \"telegram\", \"model\": \"gpt-5.5\", \"summary\": \"[Raw preview — summarization unavailable]\\n...[earlier conversation truncated]...\\n\\n ich bauen:\\n\\n```text\\nautoshorts/ideas/factory.py\\n```\\n\\nZiel:\\n\\n- aus Pillar + Rohidee einen `VideoCandidate` erzeugen\\n- automatische ID-Generierung\\n- Standard-Hashtags aus Pillar/Plattform ableiten\\n- Dauerklasse prüfen:\\n - growth short: 20–45s\\n - monetization candidate: 60–75s\\n- Hypothesis erzwingen\\n- direkt validierten Candidate zurückgeben\\n\\nDann können wir aus Content-Strategie tatsächlich Kandidaten erzeugen, statt sie nur manuell zu modellieren.\\n\\n[USER\\n…[truncated]\"}, {\"session_id\": \"20260523_074449_3d9cee59\", \"when\": \"May 23, 2026 at 07:44 AM\", \"source\": \"telegram\", \"model\": \"gpt-5.5\", \"summary\": \"[Raw preview — summarization unavailable]\\n...[earlier conversation truncated]...\\n\\nplan['id']}-{_slug(plan['title'])}.md\\\\\\\"\\\\n 165| path.write_text(format_shot_plan(plan), encoding=\\\\\\\"utf-8\\\\\\\")\\\\n 166| paths.append(path)\\\\n 167| return paths\\\\n 168|\\\", \\\"total_lines\\\": 167, \\\"file_size\\\": 6678, \\\"truncated\\\": false, \\\"is_binary\\\": false, \\\"is_image\\\": false}\\n\\n[TOOL]: {\\\"total_count\\\": 15, \\\"files\\\": [\\\"/home/agent/jarvis_runtime/AutoShortsBot/scripts/generate_shot_plans.py\\\", \\\"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/shot_pla\\n…[truncated]\"}], \"count\": 3, \"sessions_searched\": 3}", "tool_call_id": "call_PleP2qf9bRd80YkxNxHCN5aS" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_gavLZfdeokRsJDRLJPkSKeTL", "call_id": "call_gavLZfdeokRsJDRLJPkSKeTL", "response_item_id": "fc_08d79360f7cf642d016a1529b77c0c8191934ecbb88398c34f", "type": "function", "function": { "name": "search_files", "arguments": "{\"target\":\"files\",\"pattern\":\"*.mp4\",\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot\",\"limit\":20}" } } ], "finish_reason": "tool_calls", "reasoning": "**Inspecting repo files**\n\nI need to inspect the files in the repository. My current working directory is hermes-agent, but I think the autos runtime might be relevant too. So, I'll search for recent mp4 files. It makes sense to use the search_files function to do that. Just need to make sure I get the right search parameters to pull up those files efficiently. Let's see what I can find!", "reasoning_content": "**Inspecting repo files**\n\nI need to inspect the files in the repository. My current working directory is hermes-agent, but I think the autos runtime might be relevant too. So, I'll search for recent mp4 files. It makes sense to use the search_files function to do that. Just need to make sure I get the right search parameters to pull up those files efficiently. Let's see what I can find!", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqFSm32WrE6PKVZhwbwnWmCwKYKQN0MyviH_FjIk01hbj4w3u5dmFp5MYJAZn7QKVSKKkCcG5FooaD4nkUHYk51_owsCTL8fOfcbv184ww9WJemGMnp3ETELViSWqg1ajPG-7gtRZUQLRoKnFEFFe9RmyY_rJ3OcHZwrr871NFF61KHqHrpTqFSXQFgveUvlCkNzcxZIYs1NkFMRA_yCxVsukTQDsMaECkIk6DK9ZnnGo9Qs7jGE8ARWOW7XLMXCoHWNJa2TXdVtHKnN7UZINqJrnJQ4lPgnNkPkOWRWG7D5b2ZVV6DA1Dp07zQ5FurfxO68GcP__dOioO7yTfXlQvWNMvhWlog3W6GOoUKJaIoYVRC0c1ghLZ-X-1Ib9bw-v98CQQHd6tYPchGnIOvITGEiCsbxah_NQcJFe3w9LD9cT0vATgB-ngJ7tGeZAggP3s3FSDCBAcq-R_O89yTsSopa9r3IAHgThVkgkFEJU-V1YxfJm4tIktVYPVVrWb49BuAXH2Ypzeeawern-zWbfoWoFvdAbEDQ6sRXUDJCyDCUYZ5HXrru0qK--wWvTK-I_6117C4nfk-IlaT7nGAs188o4R4fUWtqsu109_tVAtla2YktEjjr-IuQP9EnBCtcXcjAqw72zn-WLzuLxqn0Q307n5jkO9c876dnSc6MHhkm4Ase-DcK5AIs5Pp-ASOeYS9cWjczRxC2FqLgNamAVz9KPyIU9nLpQzbr4TQu0tz6PjLyqeADpi7kw-nSoElEBrizbkPVkXN_yc6_4gQQa3CyC9n8z6BhmFNuZBmQAUwDPDoEbGqJdJIKIiIq7tsxtWuZ6d1UqeajfUvJ_aqgqxjNVYSvIOh5DemcrY5CsBjmofAt4jhV3lyyPnsfLaVSZti2b2H5eE9z41bV7F0opOrUmv_Ddt-8LkmbMwzTRYBQH625BNR35v7W-KOdbGuFp4LvcY56A3d4TQ8RYDYKfspt_S3Rw-75ju4tJA3zglKblMZb9gYZQYD_TfTOLBdfNM_nc8vMWaB1Zd2DTuNlGj8LeTc8ob3zL022Yy1bRJmfvDHGuGDoMm1tv27L5D7Qx-J6Cs", "id": "rs_08d79360f7cf642d016a1529b261f0819187dd7ad39d042d98", "summary": [ { "type": "summary_text", "text": "**Inspecting repo files**\n\nI need to inspect the files in the repository. My current working directory is hermes-agent, but I think the autos runtime might be relevant too. So, I'll search for recent mp4 files. It makes sense to use the search_files function to do that. Just need to make sure I get the right search parameters to pull up those files efficiently. Let's see what I can find!" } ] } ] }, { "role": "tool", "content": "{\"total_count\": 19, \"files\": [\"/home/agent/jarvis_runtime/AutoShortsBot/data/generated_clips/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann/scene_02/seed_303.mp4\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/generated_clips/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann/scene_02/seed_202.mp4\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/generated_clips/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann/scene_02/seed_101.mp4\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/generated_clips/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann/scene_01/seed_303.mp4\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/generated_clips/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann/scene_01/seed_202.mp4\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/generated_clips/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann/scene_01/seed_101.mp4\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/comfyui_outputs/autoshorts_native_wan22_rabbit_i2v_crop_5s_00001_.mp4\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/comfyui_outputs/autoshorts_native_wan22_rabbit_i2v_5s_00001_.mp4\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/comfyui_outputs/autoshorts_native_wan22_house_jump_5s_00001_.mp4\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/comfyui_outputs/autoshorts_wan22_scene01_bright_416x736_00001_.mp4\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/comfyui_outputs/autoshorts_wan22_scene01_416x736_tiled_00001_.mp4\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/comfyui_outputs/autoshorts_scene01_gpu_480x832_00001_.mp4\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/comfyui_outputs/autoshorts_scene01_gpu_preview_00001_.mp4\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/comfyui_outputs/autoshorts_scene01_wan_probe_00001_.mp4\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/comfyui_outputs/autoshorts_wan_micro_smoke_00001_.mp4\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/local_motion_renders/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.mp4\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/previews/testbatch_002_top3/attention-002-the-algorithm-does-not-need-you-happy.mp4\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/previews/testbatch_002_top3/ai-005-the-4-box-prompt-for-mental-overload.mp4\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/previews/testbatch_002_top3/ai-004-stop-asking-ai-to-think-for-you.mp4\"]}", "tool_call_id": "call_gavLZfdeokRsJDRLJPkSKeTL" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_mh3cfOOCIRdhgxgfyJSeZE18", "call_id": "call_mh3cfOOCIRdhgxgfyJSeZE18", "response_item_id": "fc_06290fe2e35d7f08016a1529bba2648191b0bf403ccb70fcc4", "type": "function", "function": { "name": "search_files", "arguments": "{\"limit\":50,\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot\",\"pattern\":\"*\",\"target\":\"files\"}" } } ], "finish_reason": "tool_calls", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqFSm7o-56d8jM4Jeg8YitiW663y1syEa-NK790Vc4hTWtk9Mi9PMsiR0XTNwtdQg25rauOqBxLWcSFzDz2h6OEBihret6it36yI-pY3qYQtT2jDAUUrpnyeC73MmazT1kS3auPXMzry4g4Q5cB8bdsk2EOQNfO-JWOIvzcGE5vN6RohA_0iaL5iHYQ1B1DzVeX_DCEwuBYtw9WEujsMXvPItZdZDuQFEN5qDASlUXthKkdGi1ATjwNkwH29Li3NIhpCBmGYL5i8btyWlf9L8Oe7XJ0WMAJ2tqezui9s0xjc70Ip_BykhTci9jioJ5NjRclLKLe5pfliBVILgDW9sOBcFxUrZaszFtVMg8FNvyyEIctrbk8RqDEhbUqCUiGAxRtiZClC-AuIwcDHmUi50G_wPgoL0I6qMy_B6aiggC3wUhd1mswM_Z5job4PpRGZlitIsYVG7e7pHqfjUyW_vFmIwEfvD770uKv660EcIykOfAiyuL_Rikju2MQ76xwUVCMxyGdu6f6rIQTh2CKvtqvma1QCWO5mzS3VDAOd7zFVKHemzLVK5UAxXp1tr3ei8BmS2216epQdvpyBLLjcUrSYiOYmoBQl7m1O7ZUDieUlDp7AKD8csifuzDK89CpS_ZR1SCCTmJNFj30TSKNKCeYXFBGgNBpAqTbLBNIJU5eg56SP4iAkZrdk8uwCAq_g0rNR_LLshCffnFju5bg64uf1fhsrPf2EHG5H7wFRXe0qUFzYlp6yDSzPmMSbDunfkaVrTsmhi7zAYGyaL-GlYiMja7x7QMlJsAb9JjAiYVpCeNl_9eOBigWHd_ZKbByB8DkKTOqXAW0lif9XtvfUC-KR3dEr1c_urkAy1jYKtpPyvbbzl8mms1F5NuzYJxWtV9CrQ-_0kYYripbg_wZtvQSMuUhDsgKHOhSIdPMelS-zK83CCzXfM9h745_ABLo6UT1rND65VPRmOLMD5SPw2oO_PhGAZYxW_aaRB06BzDrX0vS_o=", "id": "rs_06290fe2e35d7f08016a1529bad60881919bf5ff2723e082e4", "summary": [] } ] }, { "role": "tool", "content": "{\"total_count\": 50, \"files\": [\"/home/agent/jarvis_runtime/AutoShortsBot/data/clip_reviews/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.json\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/i2v_run_reports/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.json\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/generated_clips/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann/scene_02/seed_303.mp4\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/generated_clips/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann/scene_02/seed_202.mp4\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/generated_clips/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann/scene_02/seed_101.mp4\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/generated_clips/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann/scene_01/seed_303.mp4\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/generated_clips/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann/scene_01/seed_202.mp4\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/generated_clips/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann/scene_01/seed_101.mp4\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/keyframes/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann/scene_02.png\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/keyframes/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann/scene_01.png\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/keyframes/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann/variant_3.png\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/keyframes/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann/variant_2.png\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/keyframes/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann/variant_1.png\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/keyframe_generation_reports/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.json\", \"/home/agent/jarvis_runtime/AutoShortsBot/scripts/generate_keyframes_nvidia.py\", \"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/__pycache__/nvidia_image_client.cpython-311.pyc\", \"/home/agent/jarvis_runtime/AutoShortsBot/tests/__pycache__/test_nvidia_image_client.cpython-311-pytest-9.0.2.pyc\", \"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_nvidia_image_client.py\", \"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/nvidia_image_client.py\", \"/home/agent/jarvis_runtime/AutoShortsBot/tests/__pycache__/test_i2v_clip_jobs.cpython-311-pytest-9.0.2.pyc\", \"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_i2v_clip_jobs.py\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/source_images/vw_rabbit_red_front.jpg\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/source_images/honda_city_red_front.jpg\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/source_images/red_hatchback_garage.jpg\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/source_images/garage_car_fixed.jpg\", \"/home/agent/jarvis_runtime/AutoShortsBot/scripts/run_i2v_clip_jobs.py\", \"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/__pycache__/i2v_job_runner.cpython-311.pyc\", \"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/i2v_job_runner.py\", \"/home/agent/jarvis_runtime/AutoShortsBot/tests/__pycache__/test_i2v_job_runner.cpython-311-pytest-9.0.2.pyc\", \"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_i2v_job_runner.py\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/keyframe_requests/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.json\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/i2v_clip_jobs/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.json\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/i2v_prompt_plans/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.json\", \"/home/agent/jarvis_runtime/AutoShortsBot/scripts/prepare_keyframe_requests.py\", \"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/__pycache__/keyframe_package.cpython-311.pyc\", \"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/__pycache__/keyframe_prompt.cpython-311.pyc\", \"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/keyframe_prompt.py\", \"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/keyframe_package.py\", \"/home/agent/jarvis_runtime/AutoShortsBot/tests/__pycache__/test_keyframe_package.cpython-311-pytest-9.0.2.pyc\", \"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_keyframe_package.py\", \"/home/agent/jarvis_runtime/AutoShortsBot/scripts/generate_i2v_clip_jobs.py\", \"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/__pycache__/comfyui_client.cpython-311.pyc\", \"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/__pycache__/i2v_clip_jobs.cpython-311.pyc\", \"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/comfyui_client.py\", \"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/i2v_clip_jobs.py\", \"/home/agent/jarvis_runtime/AutoShortsBot/tests/__pycache__/test_comfyui_client.cpython-311-pytest-9.0.2.pyc\", \"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_comfyui_client.py\", \"/home/agent/jarvis_runtime/AutoShortsBot/docs/style_bible.md\", \"/home/agent/jarvis_runtime/AutoShortsBot/tests/__pycache__/test_keyframe_prompt.cpython-311-pytest-9.0.2.pyc\", \"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_keyframe_prompt.py\"]}", "tool_call_id": "call_mh3cfOOCIRdhgxgfyJSeZE18" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_pB36KpN0mPzHCgNOUM6JFB8h", "call_id": "call_pB36KpN0mPzHCgNOUM6JFB8h", "response_item_id": "fc_0fb89092bdf795fe016a1529c080bc819196bd04c927bceb21", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"python - <<'PY'\\nimport subprocess, json, pathlib\\npaths = sorted(pathlib.Path('/home/agent/jarvis_runtime/AutoShortsBot').rglob('*.mp4'), key=lambda p:p.stat().st_mtime, reverse=True)[:12]\\nfor p in paths:\\n cmd=['ffprobe','-v','error','-select_streams','v:0','-show_entries','stream=width,height,sample_aspect_ratio,display_aspect_ratio','-show_entries','format=duration','-of','json',str(p)]\\n data=json.loads(subprocess.check_output(cmd))\\n s=data['streams'][0]; dur=float(data.get('format',{}).get('duration',0))\\n print(f\\\"{p}\\\\n {s.get('width')}x{s.get('height')} SAR={s.get('sample_aspect_ratio')} DAR={s.get('display_aspect_ratio')} duration={dur:.2f}s\\\")\\nPY\", \"timeout\": 60, \"workdir\": \"/home/agent/jarvis_runtime/AutoShortsBot\"}" } } ], "finish_reason": "tool_calls", "reasoning": "**Diagnosing video metadata**\n\nI need to diagnose the video metadata, which involves using the terminal command `ffprobe`. It’s a handy tool for analyzing video files, helping me gather important information about the video’s properties. I’ll run the command to see details such as codec, resolution, frame rate, bit rate, and other relevant data. This will allow me to understand the video file better and address any potential issues. Let’s get started!", "reasoning_content": "**Diagnosing video metadata**\n\nI need to diagnose the video metadata, which involves using the terminal command `ffprobe`. It’s a handy tool for analyzing video files, helping me gather important information about the video’s properties. I’ll run the command to see details such as codec, resolution, frame rate, bit rate, and other relevant data. This will allow me to understand the video file better and address any potential issues. Let’s get started!", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqFSnAJKkQOVNSY-mkcHPfxzJGmdvTj1iIAa4BNmW_ertEbioqE05pXAXc1AoBqRtndtdNCl91rTYFisNhniZSZYxgWxkRR8VZlCki3SXaZ8CtQTdzMjpKuZfdQTxK0hZzm13nZ8zxw7yKLZ6psgA9-STImb7MNHc5l0aFf-DZsD54rU86BKFokpQoLyv7Gsut5EeNzzjEY0BA5UzfaJ6yYvx3IYIa2DBYzwnXGssUzRAAF-hLN_ZVFWdg9r5coJlcIgiAHptK_hgvNBRK1S3bOVGrQaAV40VkUthwz5pAiMA9MisyEV6U_0BjhgF-Bmbs_hiYF9LvRkE6kZQ8f6yZ0qUYSaX_WdzPN2YrOKVDwZ4kgFEgCjMnmMiY-6So-XtMehSzYHTmtM3eQ6GOSdpjiyhrQD6LwzvrQOTo1kcWq_yLB7cFgTF-eblL5vGvALD-T1N9Vhjq9C5SAsB4lGhQSDCX3iaKwJldadfUroG4RBeCwpHQcti1oZt5Q4qzt7sImK5WayfCOhdNmFPW3Gcau2K80PMtm04FqXq2lnSZVzjjpzTJWla-24wU0d2WpbWpVIa4ElJfm5SA7jfsSrX6PDmfJsKhkoYEPPDsBvs8fL3t6M4C-3GgoIlHhTRyUW3YPWFyE9rdUaYhFzeB0SpILLKFY9k_97cmDWxLE4IpYqtYRlOgffUyYcJ8FItu3NNsi3G4q0Y3dtLTuHda0mhQpQ2Xdbky-wYvQM4VYDIDGMfi_92ngWXCcNlDoG24J1pVlvE0gRcX7FEXaVl1IfbJ-_XBWicztxkMzuwyQOWgqZpHV3fMFqFbDBhi4HUPDDzWRc77el_X3LL9LyGaquktTwdOVBJ_RWVKu3QzrcIkw18fLYPADJ9HsSy6SxcvFBXZ72qcVaOp4H0vL6tusBSulqf11cLYIEcxipYDH1Y_r7H-SgUHiU_4MKGXHr-ZeejSLkfxm0t7-gSrrE6YBJ_xLmZme2jlWG1NgAl2Qiypf4h2lko=", "id": "rs_0fb89092bdf795fe016a1529bdeaf08191bac8590b4f23f50e", "summary": [ { "type": "summary_text", "text": "**Diagnosing video metadata**\n\nI need to diagnose the video metadata, which involves using the terminal command `ffprobe`. It’s a handy tool for analyzing video files, helping me gather important information about the video’s properties. I’ll run the command to see details such as codec, resolution, frame rate, bit rate, and other relevant data. This will allow me to understand the video file better and address any potential issues. Let’s get started!" } ] } ] }, { "role": "tool", "content": "{\"output\": \"/home/agent/jarvis_runtime/AutoShortsBot/data/generated_clips/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann/scene_02/seed_303.mp4\\n 416x736 SAR=None DAR=None duration=5.08s\\n/home/agent/jarvis_runtime/AutoShortsBot/data/generated_clips/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann/scene_02/seed_202.mp4\\n 416x736 SAR=None DAR=None duration=5.08s\\n/home/agent/jarvis_runtime/AutoShortsBot/data/generated_clips/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann/scene_02/seed_101.mp4\\n 416x736 SAR=None DAR=None duration=5.08s\\n/home/agent/jarvis_runtime/AutoShortsBot/data/generated_clips/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann/scene_01/seed_303.mp4\\n 416x736 SAR=None DAR=None duration=5.08s\\n/home/agent/jarvis_runtime/AutoShortsBot/data/generated_clips/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann/scene_01/seed_202.mp4\\n 416x736 SAR=None DAR=None duration=5.08s\\n/home/agent/jarvis_runtime/AutoShortsBot/data/generated_clips/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann/scene_01/seed_101.mp4\\n 416x736 SAR=None DAR=None duration=5.08s\\n/home/agent/jarvis_runtime/AutoShortsBot/data/comfyui_outputs/autoshorts_native_wan22_rabbit_i2v_crop_5s_00001_.mp4\\n 416x736 SAR=None DAR=None duration=4.90s\\n/home/agent/jarvis_runtime/AutoShortsBot/data/comfyui_outputs/autoshorts_native_wan22_rabbit_i2v_5s_00001_.mp4\\n 416x736 SAR=None DAR=None duration=4.90s\\n/home/agent/jarvis_runtime/AutoShortsBot/data/comfyui_outputs/autoshorts_native_wan22_house_jump_5s_00001_.mp4\\n 416x736 SAR=None DAR=None duration=4.90s\\n/home/agent/jarvis_runtime/AutoShortsBot/data/comfyui_outputs/autoshorts_wan22_scene01_bright_416x736_00001_.mp4\\n 416x736 SAR=None DAR=None duration=2.08s\\n/home/agent/jarvis_runtime/AutoShortsBot/data/comfyui_outputs/autoshorts_wan22_scene01_416x736_tiled_00001_.mp4\\n 416x736 SAR=None DAR=None duration=2.08s\\n/home/agent/jarvis_runtime/AutoShortsBot/data/comfyui_outputs/autoshorts_scene01_gpu_480x832_00001_.mp4\\n 480x832 SAR=None DAR=None duration=2.75s\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_pB36KpN0mPzHCgNOUM6JFB8h" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_fLj8NlM3N4u5mfrn6YRP8ylZ", "call_id": "call_fLj8NlM3N4u5mfrn6YRP8ylZ", "response_item_id": "fc_0aca4562b36a4b1e016a1529c87f50819193516038b41a6fee", "type": "function", "function": { "name": "search_files", "arguments": "{\"pattern\":\"scale=.*pad|pad=.*scale|setsar|setdar|1080|1920|416|736\",\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot\",\"file_glob\":\"*.py\",\"limit\":80,\"context\":2}" } } ], "finish_reason": "tool_calls", "reasoning": "**Analyzing assembly issues**\n\nThe user mentions black bars and squashed height, and they’re asking about the source dimensions. I need to consider if the final assembly is causing black bars due to Telegram. I'll search for final_motion renders to see how they're looking. I think I might need code for assembly that uses the 1080x1920 resolution. Alright, I'll look into options for scaling or padding to fix this issue!", "reasoning_content": "**Analyzing assembly issues**\n\nThe user mentions black bars and squashed height, and they’re asking about the source dimensions. I need to consider if the final assembly is causing black bars due to Telegram. I'll search for final_motion renders to see how they're looking. I think I might need code for assembly that uses the 1080x1920 resolution. Alright, I'll look into options for scaling or padding to fix this issue!", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqFSnIVx8UrCBpMpDPiVvz-AWXeN5rUxiW6dap1inCw4pyOuUlRIaSofpCizlsjwYN3S1JUxr1OrmiNJsqDspnKmDOcAoZrMDXbOjHpZSLXP3C8VwL1Xn7IAJ9ERaZZf45wBaR36xqWP-OjtHWZmZ-qxQ0MWXcHnKfTojpZb4-oDAxmEJSouY433xg5N2vWCrbffE46P-4joaTIIqInTIugAYGtZeO-A83SQsOJKQA3q8K1BOmK9SbjX2FtOI59YTKfSvh59YluaGY8cJ-YmPgu7sPLG_UkSdKyuRx106CLPax0QPHuP3P45FLt6FoX3HLHX6hJkE_TZwI4Ae-aiSNnpEyv33rGZ6kKG10wJlI-HC1BNl_SuIw_NFCqcrvM9jfLJMmsCkoCwGIWiJj4zXXEQnK0R7NAjkpCDJ8BtQ58Z8kvvafSU8j1bI9s4GQBSe5q0skR4aJvXVCPolnqzLhR5P_o00IZn_Jn0SSymBobINdObBO5hc-7ut62IW_pKbcMn_JU0nMvEKqNLKaJNuoe8EoP1wiAp3yEgMpX-_qPMw02W2229AirIPwicjxF61Wfq9iEJAQGpMxQmDziOVY31211rddYZvpkzN-YClq-uG0AhK6HfIIFN-Hi6xqT-KE8GWkJ7IAkiZ8iefkPPn4kqt5jtdWGO5qHTMNPF-4dOXYVt43NE7XzsTl6TCIUL2fBHnGiYMWADAw942DlBZodJykj02TqpSdwsETSVJHw75wpujsQRhMxdGnp42feySOdY4P3ynIL8hRRiUbynP5bUJWRYwKEHMDrJuHJVaIBOFxIiuQkzuCu6FVkMDCSxVVafxVhpkTU7dcg1XNHGSWl0xWKRnKSLHHjg-czdRNiWEs_McO3a2qJ1U4nBg966UI_Srbtvgmara8RVGmIEj2VXy5rKJdWDizjliFTXHr_yyP8dkiYxOE4_7t_mQBnEyfdopcbKFrU0e3CRNgjtmSiRdyhy0qRMIPgQfx-1s8x7ZaXy6itWVnvdjW9utPAJdUptRAKIZi1I_8fIPHYLnP3VZsBgTFTQBN1lthXSYbsUuzAynLrAiZJIv_97Hi9JR7Vcejv7oonCuepe4Eakc-GsUBLcjCOixRycATUJByE2excGJWFUFmnBxCa4Lp20I3Igf3OAFMGodjKsS5J3zWyuW7bu8oSfqotMLZoOVPXWAxvfwbgvyEzIjKkSek5f9avWuTRm5ZtkqrP0NIq0NLmABwMA==", "id": "rs_0aca4562b36a4b1e016a1529c4ee6c819190f32de922cfb375", "summary": [ { "type": "summary_text", "text": "**Analyzing assembly issues**\n\nThe user mentions black bars and squashed height, and they’re asking about the source dimensions. I need to consider if the final assembly is causing black bars due to Telegram. I'll search for final_motion renders to see how they're looking. I think I might need code for assembly that uses the 1080x1920 resolution. Alright, I'll look into options for scaling or padding to fix this issue!" } ] } ] }, { "role": "tool", "content": "{\"total_count\": 0}", "tool_call_id": "call_fLj8NlM3N4u5mfrn6YRP8ylZ" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_SflDefzvN09fSHPcbe2EFBdG", "call_id": "call_SflDefzvN09fSHPcbe2EFBdG", "response_item_id": "fc_0b72264c66a536d5016a1529cb0cb8819199b94aef4c85654a", "type": "function", "function": { "name": "search_files", "arguments": "{\"context\":3,\"file_glob\":\"*.py\",\"limit\":80,\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot\",\"pattern\":\"ffmpeg|libx264|filter_complex|vf\"}" } } ], "finish_reason": "tool_calls", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqFSnKA0vO1K7MKMSnrmy6UiDFYD85uq-chYRhEkKo2T-idADAGP8lhYimNj2qZynQ-Eplc4Ym5xOdxYdoiOmtK2NowHh-eXz-n4_CcePJDvh1wGDaWP5noNJuIEi5iJKOfh6f9u1HYWrXzQVkqljOU0MeQl_Du3UodaNWwzqNskvqcGRrjdYkI9XQUjXBJZecRFgnYacrIuCgMhehWlIsImeRbj59IQDau9f0qX5j7Fa3-9Q1mI4tPNVd4-ieLQk0ZmopO28SSO6OCH6NOgfiwJBkBmDR85vJUzV_0V_lKPM6LB1fV434mJ3t6RUffpVrmw4eosndM2a5emLEH_z2WkO37nO_zLo3DPIn1fFIDBHZgvRF0V07bOEHuuKjGBA64PEBNmaRGoAvezTwwiyqSRAoxElrEMFimmH3F3f-gmZFLJayIvOiFPVIcAKyEAHxUeLkcs-J2ZwwprvfHZRDyti6VOIZ4tzsHxvA9EzwWfUqcoNqhNMRNbVPDJyeXPVZt8iYwvVlfDFQL3shdmgwEeJuRTxWVNk7j-02DivrejHZbCozjeXuO0CHNvsvuXAidtUBcK_1gZgZjfd_LlXxhQ0_8O3keauFJitr_UjJOVbmfM42XN_6YPSiYBu6jWE5H6It4HXh_HJfIUp0XeBWElCLObDeRtvXiiI2oEMj2huanKcn2BcKvixUnMlnO_ygNiOKI0hELAbhGdJ_3oYTmixHa_CmcwsUpOrNoYsnuk58F5SgXguHnX-ELSCjcHFdLqvfJo2WT3C67hZ9ly8YA-tSuCexLxUOl8rygXjcEnj4pAc_AEFsjmmECQOqAyUsg1a9ZWw4LVNqba-qAu1fMudsXotF89I_fRgpvQyi-WaScj94Hn3hhZviUjvLpGl_uKjelwpyhTdN-4f2VTslGPYv5B0gC9bxtYrpCfBJS4xW2j0=", "id": "rs_0b72264c66a536d5016a1529ca90a48191a061033fee287461", "summary": [] } ] }, { "role": "tool", "content": "{\"total_count\": 0}", "tool_call_id": "call_SflDefzvN09fSHPcbe2EFBdG" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_SIu27mFZYPzWHzJyE5DFm49Z", "call_id": "call_SIu27mFZYPzWHzJyE5DFm49Z", "response_item_id": "fc_025e206b80ad9e56016a1529ce97f08191b9c45f9175af0c95", "type": "function", "function": { "name": "search_files", "arguments": "{\"target\":\"files\",\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot\",\"pattern\":\"*render*\",\"limit\":100}" } } ], "finish_reason": "tool_calls", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqFSnO8V40vkPK3gsegAUQZ0xnhLlZJ8lBNREo6bh_nkZppxfHyq5Y8TGi9ADmXkhZb4aZw_Io9e7RC6bd_GTaYXNTVpJC7wFWWA8Tc3XPlt6sKClmXe7tpnukOQwEZ7QZhABF_nSOagjChRDzmEP-a9sK49C9Km0S8gsSlIZA8wsZBEkUt57QbqLXr7WA3p2raKMF20VVQ3njWuYUhv9COxHA6Oc_oLSdnVjExV7EofX1BEcWwH9FLNl0-OSfuv5MNmf_VbIPEs6SC7OZBbJD29Z41G-RnLtb4wGM7MsAXhrI6dGikrGfHNZFVOhNLeWJgdy8FiFXugpKyhf5c48WS_L2rcQvb5UbOoHa4baQa-oEYEjRxxuKZhD1fK_OTDhoisdB6d84QLdIadqr7BY3Axc6wofNg-yf0coF3UuiPFe5bVxRAWwYqQE1eldejVVT-h1y9y6RzFKWbK9S9Q7l6k_9fqosCHqpgTF1IAzxB3LGhYaRt0M94jge1ifKGomaX2yMitl-TWoWhgBZHAAwPcP55FROePbPN8dLdVga10Jhz9x2I_kf4_Rv2XvygGF5fgDHNI7Van4C64O_eVEghSU6BqdlE3lEepLhIm9g2l-gAiLA3XnuSREUz08fMIXJBaJQd_tZ--QfKcFFRdXhUIHdNrVgFs8_y91fpU_UCqxwMF4smJKKv14V0IIhVjKDbTSMLFaWcYUjXGoYPkJVrEUb1ktS7mgBHkaiadhE21-rV9F4veQnIO1-SItHe4st1khSb5lfWRhfdmXLaw71gU8roOlgIZFtpCwlQg8qHIY-EQle--JxvmG2pqDTuYs1izu6H-juMlhCbh8RPWatgooiiMCvRzcuGQqcx0qpKB6RtwxgYlzRbEsJd-9fc7jgI0IQr87u0mmtmuNtQZLSHhg0UumjWazqIgGCtA1bJxa6j3vjsQSzbXMl8PQq8LeXshoxoJdNsgSLtrw99msdl-re9g==", "id": "rs_025e206b80ad9e56016a1529cde934819184726cd5350f76dc", "summary": [] } ] }, { "role": "tool", "content": "{\"total_count\": 16, \"files\": [\"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/__pycache__/local_motion_renderer.cpython-311.pyc\", \"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/local_motion_renderer.py\", \"/home/agent/jarvis_runtime/AutoShortsBot/tests/__pycache__/test_local_motion_renderer.cpython-311-pytest-9.0.2.pyc\", \"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_local_motion_renderer.py\", \"/home/agent/jarvis_runtime/AutoShortsBot/scripts/render_free_local_motion.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/scripts/generate_mechanism_render_manifests.py\", \"/home/agent/jarvis_runtime/AutoShortsBot/tests/__pycache__/test_render_manifest.cpython-311-pytest-9.0.2.pyc\", \"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_render_manifest.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/tests/__pycache__/test_preview_renderer.cpython-311-pytest-9.0.2.pyc\", \"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_preview_renderer.py\", \"/home/agent/jarvis_runtime/AutoShortsBot/scripts/render_preview.py\", \"/home/agent/jarvis_runtime/AutoShortsBot/scripts/generate_render_manifests.py\"]}", "tool_call_id": "call_SIu27mFZYPzWHzJyE5DFm49Z" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_bY4yj1Gl7GwVTAbC683sY5Vy", "call_id": "call_bY4yj1Gl7GwVTAbC683sY5Vy", "response_item_id": "fc_0226bb986df1137b016a1529d12678819192b54d2edfb902ed", "type": "function", "function": { "name": "read_file", "arguments": "{\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/i2v_job_runner.py\",\"offset\":1,\"limit\":220}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "content": "{\"content\": \" 1|\\\"\\\"\\\"Run generated Wan2.2 I2V clip jobs through ComfyUI.\\\"\\\"\\\"\\n 2|\\n 3|from __future__ import annotations\\n 4|\\n 5|import json\\n 6|from datetime import datetime, timezone\\n 7|from pathlib import Path\\n 8|from typing import Any\\n 9|\\n 10|from autoshorts.i2v_clip_jobs import build_native_wan22_i2v_workflow\\n 11|\\n 12|\\n 13|def _utc_now() -> str:\\n 14| return datetime.now(timezone.utc).isoformat()\\n 15|\\n 16|\\n 17|def _empty_summary(total: int) -> dict[str, int]:\\n 18| return {\\\"total\\\": total, \\\"succeeded\\\": 0, \\\"skipped\\\": 0, \\\"failed\\\": 0}\\n 19|\\n 20|\\n 21|def _skip_result(job: dict[str, Any], reason: str) -> dict[str, Any]:\\n 22| return {\\n 23| \\\"job_id\\\": job[\\\"job_id\\\"],\\n 24| \\\"scene_id\\\": job[\\\"scene_id\\\"],\\n 25| \\\"seed\\\": job[\\\"seed\\\"],\\n 26| \\\"status\\\": \\\"skipped\\\",\\n 27| \\\"reason\\\": reason,\\n 28| \\\"keyframe_path\\\": job[\\\"keyframe_path\\\"],\\n 29| \\\"output_path\\\": job[\\\"output_path\\\"],\\n 30| }\\n 31|\\n 32|\\n 33|def _success_result(job: dict[str, Any], client_result: dict[str, Any]) -> dict[str, Any]:\\n 34| return {\\n 35| \\\"job_id\\\": job[\\\"job_id\\\"],\\n 36| \\\"scene_id\\\": job[\\\"scene_id\\\"],\\n 37| \\\"seed\\\": job[\\\"seed\\\"],\\n 38| \\\"status\\\": \\\"success\\\",\\n 39| \\\"prompt_id\\\": client_result.get(\\\"prompt_id\\\"),\\n 40| \\\"output_path\\\": client_result.get(\\\"output_path\\\", job[\\\"output_path\\\"]),\\n 41| }\\n 42|\\n 43|\\n 44|def _failed_result(job: dict[str, Any], error: Exception | dict[str, Any]) -> dict[str, Any]:\\n 45| detail = error if isinstance(error, dict) else {\\\"error\\\": type(error).__name__, \\\"message\\\": str(error)}\\n 46| return {\\n 47| \\\"job_id\\\": job[\\\"job_id\\\"],\\n 48| \\\"scene_id\\\": job[\\\"scene_id\\\"],\\n 49| \\\"seed\\\": job[\\\"seed\\\"],\\n 50| \\\"status\\\": \\\"failed\\\",\\n 51| \\\"detail\\\": detail,\\n 52| \\\"keyframe_path\\\": job[\\\"keyframe_path\\\"],\\n 53| \\\"output_path\\\": job[\\\"output_path\\\"],\\n 54| }\\n 55|\\n 56|\\n 57|def run_i2v_clip_jobs(\\n 58| package: dict[str, Any],\\n 59| *,\\n 60| client: Any,\\n 61| limit: int | None = None,\\n 62| dry_run: bool = False,\\n 63| poll_seconds: float = 5,\\n 64| timeout_seconds: int = 900,\\n 65|) -> dict[str, Any]:\\n 66| \\\"\\\"\\\"Run clip jobs from a package and return a structured run report.\\\"\\\"\\\"\\n 67| jobs = package.get(\\\"jobs\\\", [])[:limit]\\n 68| summary = _empty_summary(len(jobs))\\n 69| results: list[dict[str, Any]] = []\\n 70|\\n 71| for job in jobs:\\n 72| keyframe_path = Path(job[\\\"keyframe_path\\\"])\\n 73| if not keyframe_path.exists():\\n 74| summary[\\\"skipped\\\"] += 1\\n 75| results.append(_skip_result(job, \\\"missing_keyframe\\\"))\\n 76| continue\\n 77| if Path(job[\\\"output_path\\\"]).exists():\\n 78| summary[\\\"skipped\\\"] += 1\\n 79| results.append(_skip_result(job, \\\"output_exists\\\"))\\n 80| continue\\n 81| if dry_run:\\n 82| summary[\\\"skipped\\\"] += 1\\n 83| results.append(_skip_result(job, \\\"dry_run_ready\\\"))\\n 84| continue\\n 85|\\n 86| workflow = build_native_wan22_i2v_workflow(job, uploaded_image_name=job[\\\"remote_image_name\\\"])\\n 87| try:\\n 88| client_result = client.run_i2v_workflow(\\n 89| workflow=workflow,\\n 90| keyframe_path=keyframe_path,\\n 91| remote_image_name=job[\\\"remote_image_name\\\"],\\n 92| output_path=Path(job[\\\"output_path\\\"]),\\n 93| poll_seconds=poll_seconds,\\n 94| timeout_seconds=timeout_seconds,\\n 95| )\\n 96| if client_result.get(\\\"status\\\") == \\\"success\\\":\\n 97| summary[\\\"succeeded\\\"] += 1\\n 98| results.append(_success_result(job, client_result))\\n 99| else:\\n 100| summary[\\\"failed\\\"] += 1\\n 101| results.append(_failed_result(job, client_result))\\n 102| except Exception as exc: # pragma: no cover - tested through behavior shape, not specific network exception\\n 103| summary[\\\"failed\\\"] += 1\\n 104| results.append(_failed_result(job, exc))\\n 105|\\n 106| return {\\n 107| \\\"schema_version\\\": \\\"i2v_run_report.v1\\\",\\n 108| \\\"created_at\\\": _utc_now(),\\n 109| \\\"video\\\": package.get(\\\"video\\\", {}),\\n 110| \\\"summary\\\": summary,\\n 111| \\\"results\\\": results,\\n 112| }\\n 113|\\n 114|\\n 115|def write_run_report(report: dict[str, Any], output_file: Path) -> Path:\\n 116| \\\"\\\"\\\"Write an I2V run report as JSON.\\\"\\\"\\\"\\n 117| output_file.parent.mkdir(parents=True, exist_ok=True)\\n 118| output_file.write_text(json.dumps(report, indent=2, ensure_ascii=False) + \\\"\\\\n\\\", encoding=\\\"utf-8\\\")\\n 119| return output_file\\n 120|\", \"total_lines\": 119, \"file_size\": 4053, \"truncated\": false, \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_bY4yj1Gl7GwVTAbC683sY5Vy" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_oB1cXuACiAIBHSuVHPMZInuK", "call_id": "call_oB1cXuACiAIBHSuVHPMZInuK", "response_item_id": "fc_00f50e6efc6cefc8016a1529d4ddf081918e29f3b2f02943f8", "type": "function", "function": { "name": "read_file", "arguments": "{\"limit\":240,\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/i2v_clip_jobs.py\"}" } } ], "finish_reason": "tool_calls" }, { "role": "tool", "content": "{\"content\": \" 1|\\\"\\\"\\\"Build executable Wan2.2 I2V clip jobs from prompt plans.\\\"\\\"\\\"\\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|\\n 10|NATIVE_WAN22_CLIENT_ID = \\\"autoshorts-i2v\\\"\\n 11|\\n 12|\\n 13|def _video_slug(prompt_plan: dict[str, Any]) -> str:\\n 14| return prompt_plan[\\\"video\\\"][\\\"id\\\"]\\n 15|\\n 16|\\n 17|def _scene_keyframe_path(keyframe_root: Path, video_slug: str, scene_id: str) -> Path:\\n 18| return keyframe_root / video_slug / f\\\"{scene_id}.png\\\"\\n 19|\\n 20|\\n 21|def _scene_output_path(output_root: Path, video_slug: str, scene_id: str, seed: int) -> Path:\\n 22| return output_root / video_slug / scene_id / f\\\"seed_{seed}.mp4\\\"\\n 23|\\n 24|\\n 25|def build_i2v_clip_jobs(\\n 26| prompt_plan: dict[str, Any],\\n 27| keyframe_root: Path,\\n 28| output_root: Path,\\n 29| seeds: list[int],\\n 30|) -> list[dict[str, Any]]:\\n 31| \\\"\\\"\\\"Create seeded clip jobs for each Wan2.2 I2V scene.\\\"\\\"\\\"\\n 32| video_slug = _video_slug(prompt_plan)\\n 33| jobs: list[dict[str, Any]] = []\\n 34| for scene in prompt_plan[\\\"scenes\\\"]:\\n 35| for seed in seeds:\\n 36| scene_id = scene[\\\"scene_id\\\"]\\n 37| keyframe_path = _scene_keyframe_path(keyframe_root, video_slug, scene_id)\\n 38| output_path = _scene_output_path(output_root, video_slug, scene_id, seed)\\n 39| jobs.append(\\n 40| {\\n 41| \\\"schema_version\\\": \\\"i2v_clip_job.v1\\\",\\n 42| \\\"job_id\\\": f\\\"{scene_id}_seed_{seed}\\\",\\n 43| \\\"video_id\\\": video_slug,\\n 44| \\\"scene_id\\\": scene_id,\\n 45| \\\"purpose\\\": scene[\\\"purpose\\\"],\\n 46| \\\"seed\\\": seed,\\n 47| \\\"status\\\": \\\"ready\\\" if keyframe_path.exists() else \\\"needs_keyframe\\\",\\n 48| \\\"keyframe_path\\\": str(keyframe_path),\\n 49| \\\"output_path\\\": str(output_path),\\n 50| \\\"remote_image_name\\\": f\\\"{video_slug}_{scene_id}.png\\\",\\n 51| \\\"prompt_spec\\\": scene,\\n 52| \\\"review\\\": {\\n 53| \\\"human_review_required\\\": True,\\n 54| \\\"criteria\\\": [\\n 55| \\\"subject clear in first 0.5s\\\",\\n 56| \\\"motion supports retention beat\\\",\\n 57| \\\"no baked text/logos/watermarks\\\",\\n 58| \\\"no distracting deformation/flicker\\\",\\n 59| \\\"clean space remains for captions\\\",\\n 60| ],\\n 61| },\\n 62| }\\n 63| )\\n 64| return jobs\\n 65|\\n 66|\\n 67|def _filename_prefix(job: dict[str, Any]) -> str:\\n 68| return f\\\"autoshorts_{job['video_id']}_{job['scene_id']}_seed_{job['seed']}\\\"\\n 69|\\n 70|\\n 71|def build_native_wan22_i2v_workflow(job: dict[str, Any], uploaded_image_name: str) -> dict[str, Any]:\\n 72| \\\"\\\"\\\"Build an API-format native ComfyUI Wan2.2 I2V workflow for a clip job.\\\"\\\"\\\"\\n 73| spec = job[\\\"prompt_spec\\\"]\\n 74| comfy = spec[\\\"comfyui\\\"]\\n 75| width = int(comfy[\\\"resolution\\\"][\\\"width\\\"])\\n 76| height = int(comfy[\\\"resolution\\\"][\\\"height\\\"])\\n 77| return {\\n 78| \\\"1\\\": {\\n 79| \\\"class_type\\\": \\\"UNETLoader\\\",\\n 80| \\\"inputs\\\": {\\\"unet_name\\\": comfy[\\\"model\\\"], \\\"weight_dtype\\\": \\\"default\\\"},\\n 81| },\\n 82| \\\"2\\\": {\\n 83| \\\"class_type\\\": \\\"CLIPLoader\\\",\\n 84| \\\"inputs\\\": {\\\"clip_name\\\": comfy[\\\"text_encoder\\\"], \\\"type\\\": \\\"wan\\\", \\\"device\\\": \\\"default\\\"},\\n 85| },\\n 86| \\\"3\\\": {\\n 87| \\\"class_type\\\": \\\"CLIPTextEncode\\\",\\n 88| \\\"inputs\\\": {\\\"clip\\\": [\\\"2\\\", 0], \\\"text\\\": spec[\\\"i2v_motion_prompt\\\"]},\\n 89| },\\n 90| \\\"4\\\": {\\n 91| \\\"class_type\\\": \\\"CLIPTextEncode\\\",\\n 92| \\\"inputs\\\": {\\\"clip\\\": [\\\"2\\\", 0], \\\"text\\\": spec[\\\"negative_prompt\\\"]},\\n 93| },\\n 94| \\\"5\\\": {\\\"class_type\\\": \\\"VAELoader\\\", \\\"inputs\\\": {\\\"vae_name\\\": comfy[\\\"vae\\\"]}},\\n 95| \\\"6\\\": {\\\"class_type\\\": \\\"LoadImage\\\", \\\"inputs\\\": {\\\"image\\\": uploaded_image_name}},\\n 96| \\\"7\\\": {\\n 97| \\\"class_type\\\": \\\"ImageScale\\\",\\n 98| \\\"inputs\\\": {\\n 99| \\\"image\\\": [\\\"6\\\", 0],\\n 100| \\\"upscale_method\\\": \\\"lanczos\\\",\\n 101| \\\"width\\\": width,\\n 102| \\\"height\\\": height,\\n 103| \\\"crop\\\": \\\"disabled\\\",\\n 104| },\\n 105| },\\n 106| \\\"8\\\": {\\n 107| \\\"class_type\\\": \\\"Wan22ImageToVideoLatent\\\",\\n 108| \\\"inputs\\\": {\\n 109| \\\"vae\\\": [\\\"5\\\", 0],\\n 110| \\\"width\\\": width,\\n 111| \\\"height\\\": height,\\n 112| \\\"length\\\": int(comfy[\\\"frames\\\"]),\\n 113| \\\"batch_size\\\": 1,\\n 114| \\\"start_image\\\": [\\\"7\\\", 0],\\n 115| },\\n 116| },\\n 117| \\\"9\\\": {\\n 118| \\\"class_type\\\": \\\"KSampler\\\",\\n 119| \\\"inputs\\\": {\\n 120| \\\"model\\\": [\\\"1\\\", 0],\\n 121| \\\"seed\\\": int(job[\\\"seed\\\"]),\\n 122| \\\"steps\\\": int(comfy[\\\"steps\\\"]),\\n 123| \\\"cfg\\\": float(comfy[\\\"cfg\\\"]),\\n 124| \\\"sampler_name\\\": \\\"uni_pc\\\",\\n 125| \\\"scheduler\\\": \\\"simple\\\",\\n 126| \\\"positive\\\": [\\\"3\\\", 0],\\n 127| \\\"negative\\\": [\\\"4\\\", 0],\\n 128| \\\"latent_image\\\": [\\\"8\\\", 0],\\n 129| \\\"denoise\\\": 1.0,\\n 130| },\\n 131| },\\n 132| \\\"10\\\": {\\\"class_type\\\": \\\"VAEDecode\\\", \\\"inputs\\\": {\\\"samples\\\": [\\\"9\\\", 0], \\\"vae\\\": [\\\"5\\\", 0]}},\\n 133| \\\"11\\\": {\\\"class_type\\\": \\\"CreateVideo\\\", \\\"inputs\\\": {\\\"images\\\": [\\\"10\\\", 0], \\\"fps\\\": float(comfy[\\\"fps\\\"])}},\\n 134| \\\"12\\\": {\\n 135| \\\"class_type\\\": \\\"SaveVideo\\\",\\n 136| \\\"inputs\\\": {\\n 137| \\\"video\\\": [\\\"11\\\", 0],\\n 138| \\\"filename_prefix\\\": _filename_prefix(job),\\n 139| \\\"format\\\": \\\"mp4\\\",\\n 140| \\\"codec\\\": \\\"h264\\\",\\n 141| },\\n 142| },\\n 143| }\\n 144|\\n 145|\\n 146|def write_i2v_clip_jobs(\\n 147| prompt_plan: dict[str, Any],\\n 148| output_file: Path,\\n 149| keyframe_root: Path,\\n 150| generated_clip_root: Path,\\n 151| seeds: list[int],\\n 152|) -> Path:\\n 153| \\\"\\\"\\\"Write a clip-job package JSON.\\\"\\\"\\\"\\n 154| output_file.parent.mkdir(parents=True, exist_ok=True)\\n 155| package = {\\n 156| \\\"schema_version\\\": \\\"i2v_clip_jobs.v1\\\",\\n 157| \\\"video\\\": prompt_plan[\\\"video\\\"],\\n 158| \\\"strategy\\\": prompt_plan[\\\"strategy\\\"],\\n 159| \\\"keyframe_root\\\": str(keyframe_root),\\n 160| \\\"generated_clip_root\\\": str(generated_clip_root),\\n 161| \\\"jobs\\\": build_i2v_clip_jobs(prompt_plan, keyframe_root, generated_clip_root, seeds),\\n 162| }\\n 163| output_file.write_text(json.dumps(package, indent=2, ensure_ascii=False) + \\\"\\\\n\\\", encoding=\\\"utf-8\\\")\\n 164| return output_file\\n 165|\", \"total_lines\": 164, \"file_size\": 5945, \"truncated\": false, \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_oB1cXuACiAIBHSuVHPMZInuK" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_qxCey5WrVGtZZqScvJqeXY2O", "call_id": "call_qxCey5WrVGtZZqScvJqeXY2O", "response_item_id": "fc_0a70261903fe10ec016a1529dbee7c819192170b0869b417be", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"python - <<'PY'\\nfrom PIL import Image\\nfrom pathlib import Path\\nfor p in sorted(Path('/home/agent/jarvis_runtime/AutoShortsBot/data/keyframes/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann').glob('*.png')):\\n im=Image.open(p)\\n print(p.name, im.size, im.size[0]/im.size[1])\\nPY\",\"timeout\":30,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}" } } ], "finish_reason": "tool_calls", "reasoning": "**Evaluating image scaling**\n\nI noticed that when using Aha ImageScale, if the source image's aspect ratio isn't exact, it stretches the image to 416x736, which results in a squashed appearance. I wonder if the black bars I see are displayed by ComfyUI. I should check the keyframe dimensions to understand what's going on better. I think using an identify function might help clarify these details. This seems like a technical puzzle to solve!", "reasoning_content": "**Evaluating image scaling**\n\nI noticed that when using Aha ImageScale, if the source image's aspect ratio isn't exact, it stretches the image to 416x736, which results in a squashed appearance. I wonder if the black bars I see are displayed by ComfyUI. I should check the keyframe dimensions to understand what's going on better. I think using an identify function might help clarify these details. This seems like a technical puzzle to solve!", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqFSnbsWvz_EvTNqt7tWkSjSKS6CdcUzTDrpe4APp6h5JEGw7iorYwoBZYdZZ4NysEMAIjnNw2XQBwjiSGY3Rm7_XANiC_6VF3gTVltv2WVpwNY6ShWEkE-HFm9Dq2llGB8fxhaDsySG-LS_kRTllMrSFSN2-8XQODZhcXBDMzQLgvBcGtXoiHZheFZO-WWd4z0dS8U6IniFL4WBCIBzwxtTTDkjBYTzERJ6G0Y0dLUr6j9K_y6EfVO7DEJolUTByT4uoC6KN1VsKgIvPQsAu7tnnuv42nWCkI2dNvrAC_-DV-cAFHfaQPMalK_fy5v5UkLYyGv8m0SGpEMs2OIuFOAe1s89-au7eBNcgB1MF5_u2CMc_mdRoUG-oP3_XTWEzC62KI3doJdiP8yP5ZLckrdONSz2f-b-M3fpO6gBWx8oP7jE1rxQz74MHXMMp_SfWEPfrhvnfWeTb00V7MXbTOhvZ7ashdu95epbxtIPFhYaY7XCsJJ688n2KN6hxFbPSfINieX7qhXTJ3xwPI8YYqUpBiTUWE8xD0R_q-npajk0QbRsBjWcDt1Zw03bR3IwmktHX3JKXQ5LtJQlgriucDXZHjdTg-fmU5M2lOdf6BSpUBdPhUSqYUvVLxjnox1CKwrL19vsAbKnLExdTj2cp4KC32J7FJ5H3dWORJud1ybArHNGnSiBSkKLARU1zxdVdAl6AnVzSa1hTCURacDOri-kOVbb2xo1X9yO2OM4ewIcqSquRpk3AEL6_3T91yirGnFAeOEgg6aem93fraO3EkjUngJd4344dfMLqtZdCcZAU633AKAHOhe-a0CRTZO5-dQip7CvKfbuOdQZiH5Ftjrst30iWi1v_MqaJbkFbBtrCrkMAzI5HbRev1L4UBq4kVVDqnSXakGGpka_3M1-8g8rcMbPSP__hb5F45Se0xUbTKQ2lnzeDAXqqo-nIrEo45K4tN6oPWrg97s0C609BxkACIIN5w9Mn4U3XYElOn4Nq_ye_m-ul3dC5-5HwX7G4G7E9FPQl6uw7LE2YjSXq-LjVb-m6zVGOfO1CAM4ZSz28MpRRsGmieo2-N-OKOA2IHKnZYMuqVPOJ0TyOayenP87WX2fQgCM32eMzVFHtNS0FxpAnR_7hTkWnhQwaEynDxpK0haMkMzdGPjQBL4r0MVXyK1A==", "id": "rs_0a70261903fe10ec016a1529d873808191a560c4af8dc64a80", "summary": [ { "type": "summary_text", "text": "**Evaluating image scaling**\n\nI noticed that when using Aha ImageScale, if the source image's aspect ratio isn't exact, it stretches the image to 416x736, which results in a squashed appearance. I wonder if the black bars I see are displayed by ComfyUI. I should check the keyframe dimensions to understand what's going on better. I think using an identify function might help clarify these details. This seems like a technical puzzle to solve!" } ] } ] }, { "role": "tool", "content": "{\"output\": \"scene_01.png (416, 736) 0.5652173913043478\\nscene_02.png (416, 736) 0.5652173913043478\\nvariant_1.png (768, 1344) 0.5714285714285714\\nvariant_2.png (768, 1344) 0.5714285714285714\\nvariant_3.png (768, 1344) 0.5714285714285714\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_qxCey5WrVGtZZqScvJqeXY2O" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_JPRDpLehKQueek9k8Ce1RSOo", "call_id": "call_JPRDpLehKQueek9k8Ce1RSOo", "response_item_id": "fc_0b9d201320eaa6aa016a1529e354a08191ac4500cd4e74437c", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"mkdir -p /tmp/autoshorts_aspect_check && for f in data/generated_clips/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann/scene_01/seed_101.mp4 data/generated_clips/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann/scene_02/seed_101.mp4; do b=$(basename $(dirname \\\"$f\\\")); ffmpeg -y -hide_banner -loglevel error -i \\\"$f\\\" -vf \\\"select=eq(n\\\\,10)\\\" -frames:v 1 \\\"/tmp/autoshorts_aspect_check/${b}.png\\\"; done\\npython - <<'PY'\\nfrom PIL import Image\\nfor name in ['scene_01.png','scene_02.png']:\\n im=Image.open('/tmp/autoshorts_aspect_check/'+name)\\n print(name, im.size, im.getbbox())\\nPY\",\"timeout\":60,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}" } } ], "finish_reason": "tool_calls", "reasoning": "**Evaluating video settings**\n\nI’m noticing that with keyframes set for a close of 9:16, my final clips have a ratio of 416/736, which is 0.5652, while 9/16 gives 0.5625. That seems acceptable. I wonder if there are black bars because maybe ComfyUI CreateVideo lacks a display aspect ratio (DAR)? It's possible Telegram is interpreting square pixels. I should visualize this with a screenshot and might need to use ffmpeg to extract a frame for better clarity.", "reasoning_content": "**Evaluating video settings**\n\nI’m noticing that with keyframes set for a close of 9:16, my final clips have a ratio of 416/736, which is 0.5652, while 9/16 gives 0.5625. That seems acceptable. I wonder if there are black bars because maybe ComfyUI CreateVideo lacks a display aspect ratio (DAR)? It's possible Telegram is interpreting square pixels. I should visualize this with a screenshot and might need to use ffmpeg to extract a frame for better clarity.", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqFSnj4rNaXsyT9m6KoB2iX3_tUH2tPhSid_mva-kZZmd5yhYLWcqNt8koGsfcy9ZLM8g_xX6__fYZz8m7uk-Ox2OKgkxWqbYE2IcKLZzas0H7K7j17PrHEr9trZL56076Mzhj6ALYrbXyoDiNl0bV9K4Iex2DuDT4jfgDjmA9wu8qH38hkeu37RK8vtv1FTvfoloj_WI-oSpswny2LIbxGDoF66-YvzLb1MCDGTflXwWbZI_nDPFo8sPPR3CMCa-d8MIdkdAIRqHlWtNHe3BNOePswc3hp_TvME1sqbYITJ4JcI7RExlKiB7vl3YThK0a0NOkfTZZbE_qTiiBjAi3ocm0FHoTMUpnPxEXDXY33wNgQNa2rhEHjAEJ5DQ1doy1c88kc1n9BVOkpvQd9GBeT7TsqjZSSNhJLiVfwmBTs2MF197U0xJDDBO535NlYOIVkbWSlcoUDeaAEpTlJ8IZ970xYrHyfbi42Ibvt-b7BF7S-8-ZcO3RofKdReV-fqYGfkEUISCFGbWXr8YU-QV6lobO1IA2nHYLtZmokLnG_3KwrFXCGP8qafeyY71rN0ULjLsLEpVLR2oyZyAxdAg-DDucNJ9MTqqkOYF64wbQwZbNkUjs3kgbWQBYkrb9aHBt_tcfUQ-STsplII-u92h6Hn91uRVdFW5fsY0Swzd_qpQX1880uJ9TS2d3Sx-P8A3yqNlQumCnzufHX8AGeB3v5f3wMN8lmwQphQEHRJ9osfAFe52mor9ZK4jsV3_b8LQGzrhwN-EXHN-WY-naGQdwsk9FZcPSLrkm8TwlVwuGTIil10ZYqcwZqfcnz6PPu7rJ0J49unP4beuIr9NaPnaYD90EkYlUcXJOmR_CZv_SC7S55rSnVxGUcbb4X-QmM1a8dl_1dqSZV_94NAsCfrPCi__aXNAPlHvZXRxg8SxyowxInsjvHbBqo2FdStNEU6l1RFotF3xuO8Sn4ZUhtmGBu695zPz-9FCuI63ZahKPwyuc2lnTcx4Z_q4RvRwhzs0kkMpJh7_nLF6adZ8gr8HehWmAJYUO8W6tpmkSa8OyJHt6JfDBB84yGrsh_N0bWw87WuyJTfbK54clsO-0tASgP3vVNzzXR48XR7zvQgo4XuFfsMT5AOkMGDHsvBSj64kqL1ZfrlgNJlM4Y_n45KVdX7EMDf-GdJkm7nNiCkTqVDsynJFMcqxk3fVBu4AR2RXGjtRE_eL4xDTUFLgIUBOcRXMjP1RZblKBWOxYlZmn2vQAaBk=", "id": "rs_0b9d201320eaa6aa016a1529de098c819183cdb8703683df10", "summary": [ { "type": "summary_text", "text": "**Evaluating video settings**\n\nI’m noticing that with keyframes set for a close of 9:16, my final clips have a ratio of 416/736, which is 0.5652, while 9/16 gives 0.5625. That seems acceptable. I wonder if there are black bars because maybe ComfyUI CreateVideo lacks a display aspect ratio (DAR)? It's possible Telegram is interpreting square pixels. I should visualize this with a screenshot and might need to use ffmpeg to extract a frame for better clarity." } ] } ] }, { "role": "tool", "content": "{\"output\": \"scene_01.png (416, 736) (0, 0, 416, 736)\\nscene_02.png (416, 736) (0, 0, 416, 736)\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_JPRDpLehKQueek9k8Ce1RSOo" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_LM098DPvNDpw163T5BzjNzEA", "call_id": "call_LM098DPvNDpw163T5BzjNzEA", "response_item_id": "fc_077b018c8fc1b49a016a1529e8bc948191ae90f9b2d182699e", "type": "function", "function": { "name": "vision_analyze", "arguments": "{\"image_url\":\"/tmp/autoshorts_aspect_check/scene_01.png\",\"question\":\"Does this frame have black bars at top/bottom or visible aspect ratio squeezing? Describe briefly.\"}" } } ], "finish_reason": "tool_calls", "reasoning": "**Investigating visual details**\n\nI’m thinking I need to take a closer look at the black bars visually. Maybe using vision or some sort of visual inspection could help me see what’s going on with them. There’s definitely something there that I need to explore. I’m curious about if there's a specific way I should approach this observation. It could be important to understand the context or reason for these black bars as well!", "reasoning_content": "**Investigating visual details**\n\nI’m thinking I need to take a closer look at the black bars visually. Maybe using vision or some sort of visual inspection could help me see what’s going on with them. There’s definitely something there that I need to explore. I’m curious about if there's a specific way I should approach this observation. It could be important to understand the context or reason for these black bars as well!", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqFSnogd32HjHu93ry-rlZmO7D0wV9aOhcO3ENPe5iTBHk2nSiZ4hwZjtIMeF2FQz28LPtsi7nfKq9UC-0oVBaJ4pyQ2iAgVq1MJdA3u_OmM7svD-wxRd-jZ3e1C5ZkDPQDuM5JwrgonB2ElITmVbrmD5uJbsKBiwPhZ2zYMEuCqxEhjUMfMgbhPNGihccI53T9cyqsQv6D5HXzsvXkX23V_oIR89jjF-BZnBpA71CHa6v_FayOR2CPenIV0HYKegS2AbMzHzBKDIa01bg5Yd_aAW_CSB155VVrDulX_Q_jhSARMGQ2ngZERhIF5iulk8xU5pgj5IzKH0LOh0ULCxZ39oaVdZKuUVxTtfh2A-x0kMWF49vClLdmQuvWz69PdJ6eYAxpv_jocb7cQpXQGF-5OQaCpbxyFMgBX7W0ticv31z5lJSHVHxQ3tW4DQG7eCJASg4DVavOJKHDnxXywStBfTf2ZZKCnT_6v0qZwssMHeRA321zc-mjI7ZH91F8NxYjuNP5y9mgEfQn2Qt0BvzgUS9rtZJ3TJaiaw4Xc7V4ay21bp1B1WXdFCOfschiKKLdnWv8FidctQ1QXuuwxHsHj6U3LBbcLUq_MVmiXxucpxm2imuaR7LJYgRdXpjIZdzHMSWb40MH60uQpApuIhx70hk7ovMMg2TrDAtt45jWeWMPWJAXluDOetfQ-Niz6eTJKXILJjm8NENSJXDKKaoapdlVtUFa-XGBYFE_BqSdDPNgs726ipUgSQFPMWIdz5OB6sTh-KQws8piEV4aaI6BLgcQAaoCapE-ctjFVuzGAYMaOuOMegfx5kAYS68zoOqHku4EF1vOfG7_KwctInrySha41W9VB8Aomh9mxz7CodFwcn4XOZySugZLnTpheIgJSDjii4zruymUfSKCwOJh1KF7EU4TK6QsYDt5WGsiKBU1j7Dc-WxHuIYNf9LZNvaCwF4t4dZomt5Z0QxVeM5OzCQe9KhoDtL6qyunVOeHN1mwvU=", "id": "rs_077b018c8fc1b49a016a1529e598b081919bd2ef92b9d07637", "summary": [ { "type": "summary_text", "text": "**Investigating visual details**\n\nI’m thinking I need to take a closer look at the black bars visually. Maybe using vision or some sort of visual inspection could help me see what’s going on with them. There’s definitely something there that I need to explore. I’m curious about if there's a specific way I should approach this observation. It could be important to understand the context or reason for these black bars as well!" } ] } ] }, { "role": "tool", "content": "Image loaded into your context — you can see it natively now. Use your built-in vision to answer the user.\n\nQuestion: Does this frame have black bars at top/bottom or visible aspect ratio squeezing? Describe briefly.\n[screenshot]", "tool_call_id": "call_LM098DPvNDpw163T5BzjNzEA" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_2cQtwvqaB5TaX4RAHAHjVAmW", "call_id": "call_2cQtwvqaB5TaX4RAHAHjVAmW", "response_item_id": "fc_0560012b4eca0cdb016a1529f30e288191a0c07cd3d7be695d", "type": "function", "function": { "name": "session_search", "arguments": "{\"limit\":5,\"query\":\"MEDIA OR generated_clips OR seed_101 OR seed_202 OR seed_303 OR hidden-money-systems\"}" } } ], "finish_reason": "tool_calls", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqFSnzsI9rmxkG9M12biSvld58aoctBEXNrsb5yKRQ2ynj1Mc4IEgqZxsGMIzakQHjwW_Rndmed56m5KgRgTXMHUHofujpbz0xA4f7IQI__EdoSIKlVbDAQ3QhwmFVLVJymMuSw7YpdSCYYFUKXLdlotORlVs-4ewzRjmqgXvn0Un1MXjUsGUYrbH1cyKLd0OuYsDl_9F3wkkR8IaVGTg7HHqp_yFCfqbq2K1eGCiroL37Uz7YHTd_yZnJJJlMEepykdCWydcl1zIDksl3MSbA_anHT6-VdPUP9kYMV_nKZ29p5yeM6PMaVxA9LGpFu7u_4m7ad8evq5xs9CGvIEZItjQVf4fHxgJZJkjq6qLV76RuzlD7Chg0RX1QDvD91dYQT7TVjCxmBzQ03dDdwn-VgPcPKVAF2HAGRCZ28vGzXSDP3ztL9cOjHGlTtSmEKCtquSpmwaeY7uwmnB_GGCafAUzPwV8nH6-Ccj6HA5K5A3heLfongYOJXIegLTnOnHZR9j-v87iMaH_k2cuwEtczLaA8NgT5e31PxGZHNDdp95hVMjRYnmVdQdv1-WdMr_jxQtNCH5ztkZt1qEFzjYtaIDFtl8OQ3bNQBbSAsFbQurIrjOArnjf6BRQODcmZVfBD0k6PMqHMm94-mIEWKswvBFwF8Pt7f5Sw8GI1EzVeA0niZIQflf4C8iFPap7GUyM4MPZufctrj3so8KRqvM0n_8YQnxqrfYrjwx2kT8ilFKhOqsmeovFFMi-wUi8UQY_zDZX0e0aaYKBBNOogRiWGrwGAPMVhtux_tSDLxS3gzAnP6ZRLpOfWAxEpWVvsqyzjwGNCWG1i0pp1GJ2Z9gS9hb10DkUJzZ7OBlahlVvQtlZOLfENICPQ0uuPRg6Z4J5SYHURw_hga5elNTnuUGK5gF9eVtsJsq9DDZbtG_UuzKiH46x3W3iScoGMBlg18JudZyyixbD9T3aAXoX4TzF3qyg3CNk7G4c6DlqK2H4ISFHxxaILDIkKMAwZbdaTXKYdooiRjD4HvgzQskbRzHJ_Cdyi8ZoSA9DP6CKjB8Qvn2vkWToGlPz0gCIyCUomLiEGH0iuhdKKxxYwOVxpxc2UiLUqO1zz90Zp7f0T0NcTraQUQobuDzp95UKld2R0NQIOQKhmxz5CyWc5VCFfArn95_FsBzZJPGCSN47pEJLUP-7MmILLWpvxCDarvesdC6wAjmQ-5qyv2jS4aierfZ0WfZXEVLaiWH-HL0sLT0UvYY2YgIFFuYxoytnSP7Pi5uTYGE0PPdkqBVJlP6XlV7zAbPr1SDIn1vvllDdPYU_KtN7O17K40Sa04Udta8s_CIO8yUwRwDttcCrjdR73GB-TIiMjCjsTeaMEomL5mMc9z6NpfG4uNVvK701RQLAaZ8Kf8UZn-Z6D3FIuvwOVYiz8OGzFktKfVnbR190BO5kBEMIPgCoNDAcwGPDd6qfFTfYcXfYxBXwH4VXh9Xd2rp3Db5C8X0h4jk58nsch1yd4QfVGommzCrVenWXczPHsD-ucMT2_8ABsM9ra6QiPS_MleN1zv7SU7SmVI3hy4TKlyfLsReswNoaLmgLYOvneoEQE3S2Rc7xzKWPOqrP7L4ITjPf-U5nogt2YyPwktXUbxZabRKcvXwzpqFveO3D80Li46Ypkj5hw0Ne0368s9m0wYe6ujaXshe4PBHyTGaZsQWXC1zaiVFfiqImr_7kpAhRLvus2Kyvpo8WD4RJTMybIkZ58deL4g_y3urYUrYNykFX3dkVZfa8F_9y34n_V1Ld18iCASorppPEDBBpBmSBqLC-JuHLLTQBiU7kmvORfCn19dM09TP2pcaoqhvPyw0o59VCc5e5DEDo0Gk6D3dIexeVsaxgEd4Mp9uN3Y_R9Q2eDbtY2-7Ps2lfFWZpmY-NZ1XHmm59S5JANOIcLr6EOrilqMq3DANXtWechOtNLbAG6Gt4h28RR8Ok7eu_9F7HSu3m5ebLEVEqPgbwVOB02H_wW5BZEwsen38EoKQMv36x1JCXb00sFHWdSozIxmN85RIRQ85xPt8YJGfbS2UcOnfp4D2usTziZa9leUu7mNZ5D-3ueTecWyFIfcDVpYfpRThKrSJVk3ScNyj6Kon15zI4MEBBHmI0pbaAx1RYX_utOHdN5b8BnO3xsmSLWSfqRU91LumKVYByZAFO5DI8MW0HBRqxiP46_ZHiHKb2fK3AkCYjujGWJ3h89JeBZCOgPDrjaJa1JlmRWDoEhvxrm3fygx-Jr5OXLfWp-VHiUbyNfWJEDXu2v8wx4R9F5mzDNPDFeOEnBzV9QgMZKFi-LEnjdbl3l4xmEOBdtPG9sTTME9Y18jUUqKNtFxAs2zyvEWQlSxR6uwe4tqC_M7TACGYspmJJ5yZ4HCgZCCn5eNV4zy-PdS7QDIJM6vQBrifCuENMC0AFJSgEuiXPjT9KINAAJkiFtTGY8DkjGncZJbytocWfCZ-YV9pkeIWguz3-OmtzEnuQoeu_T0r3x9sjVWeZT82gKHFsUY85eZZPYogfUK-uEknA6oLpc3XtXvLOafvvojeQvjfblga3n7Yqsc4OWBIWq55xhxAYCb-CgsazF1Wq6SLOUn8iaLeX4lIeJi-4DnR2dsberdraAEu6H3OFZ2tuYgG2kqyDkq-6J26Wc3nEbtUmwSZHaxa8bb3EN3E1BXKQuYL4x1zkjhys7W5nzyQQm14FphRnmYQzuLM0YgO87B3KQQ2ZEAA10cDk6OpSzYPvOvHuBgyXGMTafGSroEfWuTSXYlj3FOs1BsICb334=", "id": "rs_0560012b4eca0cdb016a1529ec35bc8191b8c60d0325e5be85", "summary": [] } ] }, { "role": "tool", "content": "{\"success\": true, \"query\": \"MEDIA OR generated_clips OR seed_101 OR seed_202 OR seed_303 OR hidden-money-systems\", \"results\": [{\"session_id\": \"20260523_074449_3d9cee59\", \"when\": \"May 23, 2026 at 07:44 AM\", \"source\": \"telegram\", \"model\": \"gpt-5.5\", \"summary\": \"[Raw preview — summarization unavailable]\\n...[earlier conversation truncated]...\\n\\n56|\\\\n 157|\\\\n 158|def write_shot_plans(finals: list[dict[str, Any]], output_dir: Path) -> list[Path]:\\\\n 159| \\\\\\\"\\\\\\\"\\\\\\\"Write one Markdown shot plan per finalized script.\\\\\\\"\\\\\\\"\\\\\\\"\\\\n 160| output_dir.mkdir(parents=True, exist_ok=True)\\\\n 161| paths: list[Path] = []\\\\n 162| for final in finals:\\\\n 163| plan = build_shot_plan(final)\\\\n 164| path = output_dir / f\\\\\\\"{plan['id']}-{_slug(plan['title'])}.md\\\\\\\"\\\\n 165| path.write_t\\n…[truncated]\"}], \"count\": 1, \"sessions_searched\": 1}", "tool_call_id": "call_2cQtwvqaB5TaX4RAHAHjVAmW" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_1tGqekBGMxd68837ZhKws7Oo", "call_id": "call_1tGqekBGMxd68837ZhKws7Oo", "response_item_id": "fc_0d01f471a7ce9b93016a152a61cd74819191ff19c6a547eff5", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"mkdir -p data/aspect_fixed/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann\\npython - <<'PY'\\nimport subprocess, pathlib, json, hashlib\\nroot=pathlib.Path('data/generated_clips/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann')\\noutroot=pathlib.Path('data/aspect_fixed/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann')\\ninputs=sorted(root.glob('scene_*/seed_101.mp4'))\\n# build corrected mobile-safe 1080x1920 versions for the seed_101 proof pair\\nfor src in inputs:\\n out=outroot / f'{src.parent.name}_{src.stem}_1080x1920_sar1.mp4'\\n vf='scale=1080:1920:force_original_aspect_ratio=increase,crop=1080:1920,setsar=1,setdar=9/16,format=yuv420p'\\n cmd=['ffmpeg','-y','-hide_banner','-loglevel','error','-i',str(src),'-vf',vf,'-c:v','libx264','-preset','veryfast','-crf','18','-movflags','+faststart','-an',str(out)]\\n subprocess.check_call(cmd)\\n meta=json.loads(subprocess.check_output(['ffprobe','-v','error','-select_streams','v:0','-show_entries','stream=width,height,sample_aspect_ratio,display_aspect_ratio','-show_entries','format=duration','-of','json',str(out)]))\\n h=hashlib.sha256(out.read_bytes()).hexdigest()[:12]\\n s=meta['streams'][0]\\n print(f'{out}\\\\n {s[\\\"width\\\"]}x{s[\\\"height\\\"]} SAR={s.get(\\\"sample_aspect_ratio\\\")} DAR={s.get(\\\"display_aspect_ratio\\\")} sha={h}')\\nPY\",\"timeout\":120,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}" } } ], "finish_reason": "tool_calls", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqFSphKVPi0Gqb2z_06EX1XHUuDxeXXNFsiDQQGzY5VPZuFcaPY7z1s9f0MwDOJYrPuIcN3J4Uw50f1XmFOAZm9ixl_SH4pGBZQnMxWWkYZaglSArHm8IbkB5FPpgmCwWLQJGB0F3u3glfU5dHXW5_n4naUwQknrl8L5tOEoaUllfiDQFvZbbbj8ldFtWrSPGgLWxoFggi2G6NOHTQxEtQGuZ5nzuiUqzX51yoHUFYarN8vRsYV9io6V8-M787Cx80ytrVLeNZYYGkGmSt4LqX-uAs1kOn-Obpz_rIfsPvgvLDc73mbIGOpNZyZPPnxbzBVCNx5zbhDWIA2CzCoLEG_urJTmtjgzqdPDRuDwPGD97IUAFdafzX6bZSWTrEZ_-jvMHh_wmnJz523Q-EyTp_0X1yg0TfPOVhr1s_RvnUNd9Yq-OjQjLRhGODZFiqYuRR5HvQLA0Nd5sTe3axahm-7GNdxI36kKF1HoPSbFP45Gcwi1XTXhyFTy1cMKPOti94uHjUyN5wm7oc44O55xWy5BY9NBMRrx3gQqgiCC6zbBw6NyYnlk6Le3mctNfVBVKpM-6K_A9w1Gm4J9NZyrr2BZZFyMcq5AryyazstV7PIoC_B6x2XZ70PSoZ8SL0TKc6NaqGWK_wUe963y-6FSCF-Wm_i7zuTh6OIUJSzU8QTYI0L-p4l6Vj-M_a6NDYehs-npsUzg8J3OnAakhBCfKdRz6to50pFEGzPuUrhtLZfgg9QACE1O4SwbpAJ8sL5L6NizLJYYQljbMLgcwwl4qmb3CCpj7Un7qboZTwaq6Ecuzvk8UuIcakfe3Rdxinmzhtm8MiizSfttK9avYramYZrNqkbF2V4ckb6Hl-_YH2qk-W_fm5hvXe2qvjXbId7xGwtHfIj_KD_qzNAnPgKgmgvcfbZ-KoYqYAuI0IwSP9PziF6Ap_4izbBpn58yxtafseYZKT_R43PSe3KG-CzJG4PyQmhxVKt8rgxaqcjRvCLssl6glK8u65E_IPlIl3OQ0KTWz4PHOJD7ofNNlsHa5HaszJZVy366I7Z9istYhzRjJys50pev2OETxYbdrE9WFu_9J3EQmEhaLWK7dUssfrZxdxFrJnpVfCdgYwPrtYCgxDhWCdQ6V_SovqBi-esz1bTp0k2-SHRguQQGT5kvyFQom1reWZA-dTCAm4V2XGup06eVEeK_14ISOwy_jwsnjr5MGWoJO1mL2Mrm_modGhs1AiWzAX0rk4YZBqV9zVoHgeew-Xbq1SxNP4oICefFeHAlOeRj1WL98_KL2NDGWhpWfuk2mOZRq6pQe-Yze4pMrluevvfsR1g2l1EL1hAbA51QpRHoywe0kl681SrFE2iGgmIV0BkdXcTpXWfgzQW4UhuX9ooCGgtsHfhttmKy4RSsHTkPsljSPTdo-q0iCnEpB7U792JphU7k7YxjIbLFtKNz5z4-YCNsZij5UoMGUnlXf7NO6OG7bijWR-5diqB6j-61FHLS1koHTWev9FLzlzRLbKMAn0sUAQ6AvlKNR2tC_nDIOv54BDHDS9dEkxdJXOZHGHgE2nQXfQxv_hhI-VrW7XHNIHvnSHlJelpaad5nL5qZbwUqcG0XFZ8rCVlolTNHnCpaFGiuhgeTH0Yl0-6qSy8pHqJu198EOUhAIVfT3kqbF7dyU3LKIZwq7QnMpWv8ZOnlVZKrsd1cFULtqeEGrCSm1BpX377Kwx3V91Wu2ttPJ9cLgEE5prdwPea3XP0fo8-W7r33-7iKBwRl8yOwBEWCmxlzOos5E5Xvp-xyzl3jlRmd07-Q9h9hK7KVPsZTLIV1iKJvOo0OwJZTvL4NAEEki9wrXcyIXUE8eVqSP_6CURS0LWTMmRQ7vuW9ACdV_a0ug8RuY6lKvhJGCdE3pe8mPnafGZ8P_L0fGI4ZyyY8p4vQZRV-xWWPRRSybstoV-PXchgBBt6z0MzjEfQY47i8uBD06OKsb5OjLMDkRrtAHNgdDZmZAGzczki_Qnsf3LS0eB6KqZ4LA9qE4kHeyB0i-Lrfcc5pnmfTUFxuMUg6T66bl-Zt7HC-eqbB7DWUHmmAKkF2PnPjExIcd0aN-YOBZGNBF0THy-XNKXG7Hs-m3-rwPwt0oOANm755bO6JaWT_fLPXg1pyAoyvY9LAGIFRJFoBwb3ob0Tq2CHhfOdJoc8fcAQ9AgLkaOYaNzukhpVEzfkXWP1L1lXkCNFWsV4Kn3wddcQa2hEStvjTBgmFMkrwUVvJgTpW6LppWR7MpHNzQscTiIg2VctjNypilFUs8AxTs8R8VHBrQ54Kxi6G9RaNhlcmAA4_wUA2LSDk6RY50RNg9whAbRY7XZlQmBs-UUYhH-i2nGir_Y6sJvS2IZpPcqi9b-ijUbALasd0lNd9l_n_4nSoEW3IKzpTI8U4EQjXDOEguwMljb9qQjllqBHebB9oUPd7-X1TsZj9R32E2a22rCfQwL4pF7phJA91E4amyH9PpQzbYeiTR9-hm5hZi7pgL9WtJ7JATQ49bcWuyMGkDpK2KXuQt19ja2DjZxyj4gVeVIYEYYaBZxO1lTL6pL88IXGpvayucyY8CJv6oHhR6_DqFZkng-moK9wmnK03LksPtff850euM2Y5AZAAm0lYBsZIJYSFI5WZoOIQEux-cCIe60Qk3ac8f7Swj1bzHLT08fImprSCA9lhZplaoZnnI6ugrUWetEuHjpFAYHubv7qJSj8DMpqWcFtJ6jIb1RQOWlcdNofXW-O41Dyb6M-9G3fYAGkPqKX92R5GiUAgJq9vAYgExYE-3gxudn9_CI-CoPTpiZM0SEQuSsF51SsnM8b_ErCp4Blua7O5DOK-QId88joeCpoyQhSZASvXaz2aDn4ndOcjjQIZf8DDwL62EQtx8eRf9JKKHCE_Ydw8PMdYIHzkVozuxlLpiDEr2jkSmFkKup-qKbNW37M5A47no5210b5sE4UihZfjANv6AThfT6mXXfBfmfF3NCcTEiLQQEG0_kcrNQOsn91ORRSwRcmiV9udsw3ME5TVQ2B9wkAufuqocZ2PG-T1TvtqmOQgflssmGV1TyvrO7XVD0tKVSPIaBNlsJ1nbKf-jssrzPUCDnWEtWCfhIBnmMKSe0g9j8ghibYr5jRqiNAzhWhDPfj9i_up7tMQ==", "id": "rs_0d01f471a7ce9b93016a152a58d10c8191b3445c60a7b05870", "summary": [] } ] }, { "role": "tool", "content": "{\"output\": \"data/aspect_fixed/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann/scene_01_seed_101_1080x1920_sar1.mp4\\n 1080x1920 SAR=1:1 DAR=9:16 sha=73b1b6b50d78\\ndata/aspect_fixed/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann/scene_02_seed_101_1080x1920_sar1.mp4\\n 1080x1920 SAR=1:1 DAR=9:16 sha=031d84d9ee44\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_1tGqekBGMxd68837ZhKws7Oo" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_t6C1ZSc9pcg2UCduAz93DkMB", "call_id": "call_t6C1ZSc9pcg2UCduAz93DkMB", "response_item_id": "fc_0122caa1f690344b016a152a71f5408191927955569e429af4", "type": "function", "function": { "name": "search_files", "arguments": "{\"context\":2,\"file_glob\":\"*.py\",\"limit\":60,\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot\",\"pattern\":\"resolution|416|736|width|height\"}" } } ], "finish_reason": "tool_calls", "reasoning": "**Considering patch workflow**\n\nI need to think about perhaps patching code for the future. Should I add a postprocess function or search tests? Hmm, maybe that's not needed. The developer suggests I keep working on it, which makes me wonder if I should focus on improving the patch workflow to use 432x768 instead. The comparison between 416x736 and a resolution of 9/16 also has me thinking about whether I need to add a script or check where the resolution is set.", "reasoning_content": "**Considering patch workflow**\n\nI need to think about perhaps patching code for the future. Should I add a postprocess function or search tests? Hmm, maybe that's not needed. The developer suggests I keep working on it, which makes me wonder if I should focus on improving the patch workflow to use 432x768 instead. The comparison between 416x736 and a resolution of 9/16 also has me thinking about whether I need to add a script or check where the resolution is set.", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqFSpx632oySJXeNHIT2PMy3a-O7em7oT_VM_ynwUaORp6H6dejwEqySyYCnW8FJ76Xgi5dcJF67OqxIYkk378xN9sMl1cg4h4FNimbdRKga1_M7xsi6Da19F2Ri4IKyKlweUT4HRxCbYEZABBOHzLlxBW7h0_Pa-sYjqBv6jJTRrHtdZVudoXdnfuQd8cdaMQJNhFQHhDT1l2y71yYmOmsK4zuFZzXIgj06QKHpdsl98HRjIH3dsGtKhFbtF5A2b5FxhHlvn5STSBqUnQJxMu_LFt0rWNNlJfp4RHDbArNeDEYGpe9NAQAdL9Q_4Y4ZuZSQNg6hHBViFyRby9KpW7HersP533s_bh_FeW8D-k42_VTfERVzLLV2DAB0ET8BrxLPBSplxLq4hyGdEiVQhKx6Mp-BvwFW5K_TvXnWPIoBEc2irl86aarYnYJ6fJ5aKBKNk0BwuGdcARJlTmaeYrrVcILzZdJSu6UpOTLw3xI9lUzu2yLZbAaCgbbBa41LbKnWHXdKYUWBoqZ9cnLqreLbNmGR3cry9IWHng7PCtxjeFa47aQ7efV1-hJ_fQ7m-tQ7HxLY9O9Ns9SZAglRgsXz08Nkv3QQNgHMXtMUagmChG-CazteYlQAoQKQqM47l9DU_y7aVqWG3PNv-Qem-YAYQrrVl9FhjKo2ogzfteIEcWvTSrX-bjN4TXV29F8Lhwomq4cgX_vbyjnAONvT4WSpKDwtDE6x_t_Z337rVTXoqlIxSg6UOobxE7oOu1me9TD6xS5pR-mOrhP0KHTiZVayyNoBdspN9hBIKF9kOkrbczPNTVxaN1isZxjKkdno2gVGnNrJKR3HeewY7LFsQPjJbCUgOmdalxvwhPcJS5eSjZ5gPeh9uvHZJqcZuWU76pFgNEOdi8TTduamkLWdS1aLoaQuyGZnfbaGmjAkfGkWK3BUfxFWYbcxFEon6BxDrp9unpttDDpOK_u_mITrW9UVFXqq7MrIAfl5GD8HcHUqvBHona5rb9zrc8L9UgNOrr0lQevPlcplvaxeVj0TTZZCvzZwjE96XHFJK4WBv2dsfF-TwBLcJvsxI42-0y4GttJFPpn6Fm5N6_RAy3ad7MwzaaGeoqKsv9kMndX13FF-A37IjP6pejNA23e8BnX5ZcODo0LaGVBFeYZpBQNd5kvUgtjtWCaoELGQn7r4_5H18eOHEySdnpp6z3TlfuKgqakPH6FiMQbr3hpdh3HUw4ATA-SfH3fOcsUnHIh34QyFgDMO7AaQG03m4ZhuKSLUkP1SxaqXp8DvU_ofUdTAqZFNH8PQ==", "id": "rs_0122caa1f690344b016a152a6d55308191a0c2f46934632715", "summary": [ { "type": "summary_text", "text": "**Considering patch workflow**\n\nI need to think about perhaps patching code for the future. Should I add a postprocess function or search tests? Hmm, maybe that's not needed. The developer suggests I keep working on it, which makes me wonder if I should focus on improving the patch workflow to use 432x768 instead. The comparison between 416x736 and a resolution of 9/16 also has me thinking about whether I need to add a script or check where the resolution is set." } ] } ] }, { "role": "tool", "content": "{\"total_count\": 0}", "tool_call_id": "call_t6C1ZSc9pcg2UCduAz93DkMB" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_3PeeuYK4q3H0JKljx6iDdeTn", "call_id": "call_3PeeuYK4q3H0JKljx6iDdeTn", "response_item_id": "fc_0c3514a4fe6d9267016a152a74f8c88191b09e4906ad8c64e1", "type": "function", "function": { "name": "search_files", "arguments": "{\"context\":2,\"limit\":100,\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot\",\"pattern\":\"416|736|resolution\"}" } } ], "finish_reason": "tool_calls", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqFSp0Wk2i0G6vJx6_0j2qQok7eAYYnOc3y1SwsY3BLYD5hvVSOyl6IZ1IW4pXU2pCtp0nNf8GAhoebGIEhVFOX1M-VYQpJKgPU_8_Y5fdPOXEsO1Gxb5HKAKiDGFOqFWcIXO0y2rm7WR0hkfpjlt1qxTYgo22a1_As2FVSy6E_6Uk_QedbRk6eSAOiY2dH_Nc9Rp28zuwRLPtyU7dJxKv-3-Z7nBmf9eGn0Sz4IWM8dZX6wSd3qjpntNKdBJlvRqWy5K7obm_TIWt7LPtGWrtAfHdg4IQjTJQpEtwNzlBnRIkaUSdlGxbSuA24uB2-dvPEgKy6Snv759Gu7VIP9PUx7LMMr__0T4LLhFgKBIOpMcHAaAlCIz40GGWhEDFovzsJ160xeT5-7pt7Iob1F-tE6uDrkuEJ1sLmXMYFEeSloTmR5dEr23PxH50HWDMdiQJKm_WmnhDfFzMft2NBhjDVu6hl4bQar4eVZBr6WQmCtlmMAwMGXUupL3DjgybhCkGpjyrcaO72KowYQlCpwK11HNf2AZ52aj-F_wJdP816COiEIgaNReotMZHVQEgm7mVCRMBcibSXvu4KMTJ8KTHOh9mckmI00yqScjR82Jade85VST-Jq8g4CBt3YMyvOrTF_gaoiPc_ljXd-gH4obWaJKFVPZThlmyMaH9GNZI3_2EXisAKy2Ow9l6WybZMRg0acvWdELXchB31BwNfLdJKrTsMrUTtBzWTY70349kx8f0UCLhjRkS5yEPeEoAWAT8aYs18rAvYHU67-4cffXTlEC3GMNjSxEKoiAanq3T5K-4__G3WlNqPTPY75KdmVj13TVTgIaFi6RU6BYJjrN5RRr5cTYKRA0pbJki9QtI3X5EFtXcG7bBzvtvdIf3znkZiVnOwgd7WpThqsXPsMTAY8iJcBkfOBaMWPD3-vHWb_clpn8DjsijP1-pFyppvDnRkcFCYQWD36cSJv7_dAqidwOAKQ==", "id": "rs_0c3514a4fe6d9267016a152a740e2c8191bc47077d29cdcf63", "summary": [] } ] }, { "role": "tool", "content": "{\"total_count\": 0}", "tool_call_id": "call_3PeeuYK4q3H0JKljx6iDdeTn" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_VAsQDUG6aLLQ5rNkVqF7tPTg", "call_id": "call_VAsQDUG6aLLQ5rNkVqF7tPTg", "response_item_id": "fc_09602ee54c799f07016a152a7d2bc88191b87a0a4000d2c948", "type": "function", "function": { "name": "read_file", "arguments": "{\"limit\":240,\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/comfyui_client.py\"}" } } ], "finish_reason": "tool_calls", "reasoning": "**Considering file resolution issues**\n\nI'm pondering why the read file has resolution while the search didn’t. Maybe there’s a .gitignore at play? I need to think about adding post-processing to the i2v runner once the client copies the output. It’s probably worth inspecting the ComfyUI client to understand better. I’m just trying to piece together all these details! Let’s see what comes next.", "reasoning_content": "**Considering file resolution issues**\n\nI'm pondering why the read file has resolution while the search didn’t. Maybe there’s a .gitignore at play? I need to think about adding post-processing to the i2v runner once the client copies the output. It’s probably worth inspecting the ComfyUI client to understand better. I’m just trying to piece together all these details! Let’s see what comes next.", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqFSp9X8dyjDOsejQf-kuqdhwGZrAuRHQe8hvwKFzAU247TZ-8k92-17gpM6Xd9NCIO2S_tZTr7ibWXar4w9RipO0w-j3cPvpPSTez0ofqOpkjHImSeACK1P3MsMBTR9PnBVPgyoGT3btW7fgcYu8sX8NIQq0gmImu1kXHW6DDLKCnXeYhjOsZXv0I16PiPfbXFYWBJHtsiynsNghLE-ghwLWT55AQ8AUO8tFbi0XR73XeJf9mHMIWDpnaA9gMtLWjLuhY4H8kXuhfePq_13AXiwX_WQw22LrzSbgHP4CO4dEQOIw5mjLKZ6LhsSWBSXAXGrb-R8kXdCWRv86vYqUQf3q3_rzb12V8wSSDSD975a1q4k8MR-F4alRVQazyAN8RNXZqa5UOyIF2Mo29yywc7yyk44gQEExW3J2U0iiU3g0jVyRAki4rRljaku95Vv_vX5mEHPgNEXGJt-V6y0eIJk0B3y_jPUpODy38Ts2Cxxg0CSRm-ta8SsZIB1rEOdS9CvmDu6g5Ym17S7Avbgb-wzyvP5VCzKKUmHQPvmQuCWailFPtkJkID0CHC8GXYcabHYL7hcVG-8QCYShUQbG5jvTvExWAM7H1R6xKxH_gM68RZOclZgWQyZypOu814tkBFxuwzQnxqqK0Gnm52siXL-HowVg_Zrq7a05zo7tZI7gfMvH1_1l04T1cSdKUyA2VbZucJYL2IVXxAMLaVM0GIH3Dc6-6WldbtkF2lPfi_6-wNc8L7DlovimQWF5Wf6149_z2kTLKPglCaQQpXrHToJiA3m6JsMHjjSwV5UIdALmY6bOnXvCZCTJSWjnaYhlYzcHvevHoO4ycGlEQH-GYRZCZN1_oIqq-2z7EWeUAiT55i3bB8po0_uwHZr4wjqKwB033CQ1wEaIjt0XeiLsL3uZE-xb0zd-VAchmGEDc9ubGaxg_D3hX934qrQFcaCp2ULmaEY2R7DN80DEdlxJlGKqSAlEYYRrFi1EqB8nHxj8eUy6dosQhE5DTBh6at5DRlNd-2DBVyn6vkgdQelxe40j0uD70lOd4MOTF-kPOGEtJzYaWrfsTWeeyUcYrSt_L5L9vGBkjpVaxXak-DM86RpZGtaSL4nY_AjtCwuOGU_G10dlUFWx_IsZ2u2r_xEHKItAXxYSNp6jLZSNfOUyNkFEYZLy2LJwUJ7oQQh91FSXCETA=", "id": "rs_09602ee54c799f07016a152a78c6c481919d424ff3eedc45d1", "summary": [ { "type": "summary_text", "text": "**Considering file resolution issues**\n\nI'm pondering why the read file has resolution while the search didn’t. Maybe there’s a .gitignore at play? I need to think about adding post-processing to the i2v runner once the client copies the output. It’s probably worth inspecting the ComfyUI client to understand better. I’m just trying to piece together all these details! Let’s see what comes next." } ] } ] }, { "role": "tool", "content": "{\"content\": \" 1|\\\"\\\"\\\"Small ComfyUI REST client used by AutoShortsBot clip jobs.\\\"\\\"\\\"\\n 2|\\n 3|from __future__ import annotations\\n 4|\\n 5|import json\\n 6|import time\\n 7|import urllib.parse\\n 8|import urllib.request\\n 9|from pathlib import Path\\n 10|from typing import Any\\n 11|\\n 12|\\n 13|class UrllibComfyUITransport:\\n 14| \\\"\\\"\\\"HTTP transport for local/Tailscale ComfyUI instances.\\\"\\\"\\\"\\n 15|\\n 16| def upload_image(self, base_url: str, path: Path, *, remote_name: str, overwrite: bool = True) -> dict[str, Any]:\\n 17| boundary = \\\"----AutoShortsBotBoundary\\\"\\n 18| body: list[bytes] = []\\n 19|\\n 20| def add(part: str | bytes) -> None:\\n 21| body.append(part.encode() if isinstance(part, str) else part)\\n 22|\\n 23| add(\\n 24| f'--{boundary}\\\\r\\\\nContent-Disposition: form-data; name=\\\"image\\\"; filename=\\\"{remote_name}\\\"\\\\r\\\\n'\\n 25| \\\"Content-Type: image/png\\\\r\\\\n\\\\r\\\\n\\\"\\n 26| )\\n 27| add(path.read_bytes())\\n 28| add(\\\"\\\\r\\\\n\\\")\\n 29| add(f'--{boundary}\\\\r\\\\nContent-Disposition: form-data; name=\\\"type\\\"\\\\r\\\\n\\\\r\\\\ninput\\\\r\\\\n')\\n 30| add(f'--{boundary}\\\\r\\\\nContent-Disposition: form-data; name=\\\"overwrite\\\"\\\\r\\\\n\\\\r\\\\n{str(overwrite).lower()}\\\\r\\\\n')\\n 31| add(f\\\"--{boundary}--\\\\r\\\\n\\\")\\n 32| request = urllib.request.Request(\\n 33| f\\\"{base_url}/upload/image\\\",\\n 34| data=b\\\"\\\".join(body),\\n 35| headers={\\\"Content-Type\\\": f\\\"multipart/form-data; boundary={boundary}\\\"},\\n 36| )\\n 37| return json.loads(urllib.request.urlopen(request, timeout=120).read().decode())\\n 38|\\n 39| def post_json(self, base_url: str, endpoint: str, payload: dict[str, Any]) -> dict[str, Any]:\\n 40| request = urllib.request.Request(\\n 41| f\\\"{base_url}{endpoint}\\\",\\n 42| data=json.dumps(payload).encode(),\\n 43| headers={\\\"Content-Type\\\": \\\"application/json\\\"},\\n 44| )\\n 45| raw = urllib.request.urlopen(request, timeout=120).read().decode()\\n 46| return json.loads(raw) if raw else {}\\n 47|\\n 48| def wait_for_completion(\\n 49| self,\\n 50| base_url: str,\\n 51| prompt_id: str,\\n 52| *,\\n 53| poll_seconds: float,\\n 54| timeout_seconds: int,\\n 55| ) -> dict[str, Any]:\\n 56| deadline = time.monotonic() + timeout_seconds\\n 57| while time.monotonic() < deadline:\\n 58| queue = json.loads(urllib.request.urlopen(f\\\"{base_url}/queue\\\", timeout=30).read().decode())\\n 59| running = queue.get(\\\"queue_running\\\", [])\\n 60| pending = queue.get(\\\"queue_pending\\\", [])\\n 61| if not running and not pending:\\n 62| history = json.loads(urllib.request.urlopen(f\\\"{base_url}/history/{prompt_id}\\\", timeout=60).read().decode())\\n 63| return history.get(prompt_id, {})\\n 64| time.sleep(poll_seconds)\\n 65| raise TimeoutError(f\\\"ComfyUI prompt did not finish within {timeout_seconds}s: {prompt_id}\\\")\\n 66|\\n 67| def download_view(self, base_url: str, output: dict[str, Any], destination: Path) -> Path:\\n 68| params = urllib.parse.urlencode(\\n 69| {\\n 70| \\\"filename\\\": output[\\\"filename\\\"],\\n 71| \\\"subfolder\\\": output.get(\\\"subfolder\\\", \\\"\\\"),\\n 72| \\\"type\\\": output.get(\\\"type\\\", \\\"output\\\"),\\n 73| }\\n 74| )\\n 75| destination.parent.mkdir(parents=True, exist_ok=True)\\n 76| destination.write_bytes(urllib.request.urlopen(f\\\"{base_url}/view?{params}\\\", timeout=300).read())\\n 77| return destination\\n 78|\\n 79|\\n 80|class ComfyUIClient:\\n 81| \\\"\\\"\\\"Minimal client for uploading keyframes, running workflows, and downloading MP4 outputs.\\\"\\\"\\\"\\n 82|\\n 83| def __init__(self, base_url: str, *, transport: Any | None = None):\\n 84| self.base_url = base_url.rstrip(\\\"/\\\")\\n 85| self.transport = transport or UrllibComfyUITransport()\\n 86|\\n 87| def run_i2v_workflow(\\n 88| self,\\n 89| *,\\n 90| workflow: dict[str, Any],\\n 91| keyframe_path: Path,\\n 92| remote_image_name: str,\\n 93| output_path: Path,\\n 94| poll_seconds: float = 5,\\n 95| timeout_seconds: int = 900,\\n 96| ) -> dict[str, Any]:\\n 97| upload = self.transport.upload_image(self.base_url, keyframe_path, remote_name=remote_image_name, overwrite=True)\\n 98| prompt_response = self.transport.post_json(\\n 99| self.base_url,\\n 100| \\\"/prompt\\\",\\n 101| {\\\"prompt\\\": workflow, \\\"client_id\\\": \\\"autoshorts-i2v\\\"},\\n 102| )\\n 103| prompt_id = prompt_response[\\\"prompt_id\\\"]\\n 104| history = self.transport.wait_for_completion(\\n 105| self.base_url,\\n 106| prompt_id,\\n 107| poll_seconds=poll_seconds,\\n 108| timeout_seconds=timeout_seconds,\\n 109| )\\n 110| status = history.get(\\\"status\\\", {})\\n 111| if status.get(\\\"status_str\\\") != \\\"success\\\":\\n 112| return {\\\"status\\\": \\\"failed\\\", \\\"prompt_id\\\": prompt_id, \\\"history\\\": history, \\\"upload\\\": upload}\\n 113| output = _first_video_output(history)\\n 114| self.transport.download_view(self.base_url, output, output_path)\\n 115| return {\\n 116| \\\"status\\\": \\\"success\\\",\\n 117| \\\"prompt_id\\\": prompt_id,\\n 118| \\\"output_path\\\": str(output_path),\\n 119| \\\"remote_output\\\": output,\\n 120| \\\"upload\\\": upload,\\n 121| }\\n 122|\\n 123|\\n 124|def _first_video_output(history: dict[str, Any]) -> dict[str, Any]:\\n 125| for node_output in history.get(\\\"outputs\\\", {}).values():\\n 126| for item in node_output.get(\\\"images\\\", []):\\n 127| if str(item.get(\\\"filename\\\", \\\"\\\")).lower().endswith(\\\".mp4\\\"):\\n 128| return item\\n 129| raise ValueError(\\\"No MP4 output found in ComfyUI history\\\")\\n 130|\", \"total_lines\": 129, \"file_size\": 5168, \"truncated\": false, \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_VAsQDUG6aLLQ5rNkVqF7tPTg" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_Dx06FhILakjkPTt8KqZSxNsC", "call_id": "call_Dx06FhILakjkPTt8KqZSxNsC", "response_item_id": "fc_0c5412d50d76964b016a152a87919481918b7b0a650a816126", "type": "function", "function": { "name": "write_file", "arguments": "{\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/scripts/fix_vertical_aspect.py\",\"content\":\"#!/usr/bin/env python3\\n\\\"\\\"\\\"Normalize MP4s for mobile 9:16 playback.\\n\\nThis is intentionally a post-render boundary: it does not alter source clips;\\nit writes a square-pixel 1080x1920 H.264 export with explicit SAR/DAR metadata.\\n\\\"\\\"\\\"\\n\\nfrom __future__ import annotations\\n\\nimport argparse\\nimport json\\nimport subprocess\\nfrom pathlib import Path\\n\\n\\nTARGET_WIDTH = 1080\\nTARGET_HEIGHT = 1920\\n\\n\\ndef normalize_vertical_mp4(input_path: Path, output_path: Path) -> dict[str, object]:\\n output_path.parent.mkdir(parents=True, exist_ok=True)\\n video_filter = (\\n f\\\"scale={TARGET_WIDTH}:{TARGET_HEIGHT}:force_original_aspect_ratio=increase,\\\"\\n f\\\"crop={TARGET_WIDTH}:{TARGET_HEIGHT},\\\"\\n \\\"setsar=1,setdar=9/16,format=yuv420p\\\"\\n )\\n cmd = [\\n \\\"ffmpeg\\\",\\n \\\"-y\\\",\\n \\\"-hide_banner\\\",\\n \\\"-loglevel\\\",\\n \\\"error\\\",\\n \\\"-i\\\",\\n str(input_path),\\n \\\"-vf\\\",\\n video_filter,\\n \\\"-c:v\\\",\\n \\\"libx264\\\",\\n \\\"-preset\\\",\\n \\\"veryfast\\\",\\n \\\"-crf\\\",\\n \\\"18\\\",\\n \\\"-movflags\\\",\\n \\\"+faststart\\\",\\n \\\"-an\\\",\\n str(output_path),\\n ]\\n subprocess.check_call(cmd)\\n probe = json.loads(\\n subprocess.check_output(\\n [\\n \\\"ffprobe\\\",\\n \\\"-v\\\",\\n \\\"error\\\",\\n \\\"-select_streams\\\",\\n \\\"v:0\\\",\\n \\\"-show_entries\\\",\\n \\\"stream=width,height,sample_aspect_ratio,display_aspect_ratio\\\",\\n \\\"-show_entries\\\",\\n \\\"format=duration\\\",\\n \\\"-of\\\",\\n \\\"json\\\",\\n str(output_path),\\n ],\\n text=True,\\n )\\n )\\n stream = probe[\\\"streams\\\"][0]\\n return {\\n \\\"output_path\\\": str(output_path),\\n \\\"width\\\": stream[\\\"width\\\"],\\n \\\"height\\\": stream[\\\"height\\\"],\\n \\\"sample_aspect_ratio\\\": stream.get(\\\"sample_aspect_ratio\\\"),\\n \\\"display_aspect_ratio\\\": stream.get(\\\"display_aspect_ratio\\\"),\\n \\\"duration\\\": float(probe.get(\\\"format\\\", {}).get(\\\"duration\\\", 0.0)),\\n }\\n\\n\\ndef main() -> None:\\n parser = argparse.ArgumentParser(description=\\\"Normalize MP4 to mobile-safe 9:16 1080x1920.\\\")\\n parser.add_argument(\\\"input\\\", type=Path)\\n parser.add_argument(\\\"output\\\", type=Path)\\n args = parser.parse_args()\\n print(json.dumps(normalize_vertical_mp4(args.input, args.output), indent=2))\\n\\n\\nif __name__ == \\\"__main__\\\":\\n main()\\n\"}" } } ], "finish_reason": "tool_calls", "reasoning": "**Normalizing video outputs**\n\nI need to think about whether a patch is necessary to normalize after the download, which might require ffmpeg. Maybe it's best to keep the final assembly separate from ComfyUI. The user has expressed some complaints, so I'm considering creating a `normalize_vertical_mp4` function. However, I want to avoid overcomplicating things. It might be a good idea to add a helper script to fix the vertical aspect and ensure the user gets the corrected output they want.", "reasoning_content": "**Normalizing video outputs**\n\nI need to think about whether a patch is necessary to normalize after the download, which might require ffmpeg. Maybe it's best to keep the final assembly separate from ComfyUI. The user has expressed some complaints, so I'm considering creating a `normalize_vertical_mp4` function. However, I want to avoid overcomplicating things. It might be a good idea to add a helper script to fix the vertical aspect and ensure the user gets the corrected output they want.", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqFSqHKOOFdjZV1cHc8Dyu5vtDiQTVXSfFWP2l8HpRg-xrelxJkL0dtNvZcKFSufXEP91s6i1JOKQMMxct1tejScoGRmg70Zwf1XTp4TVjC9fMg2sB_W9BGKlrUWm3Rn66RzieKppWY23eZiYmJZYGuYCg-JPqGHJKD1Mhwgig_FL6gImJJnLhRppd_kYGf52Fxs3HvjCD7ydgNz_fW_1sfYgU0iJroQMxVIEry_H0kKDpGBgXPNXm8H90Xi83KV_RMcW9seFl7VNh1XXedMTkkqwaGFPnXMRn5GPIpTh07Bx2PfnwTA_j61wwHfZhy9W4DbGdyOh-nw3s22jOHFHfAbWGhBza7snmJdxERxOI0DXbA4-d1s8VDuGow9q1kG78gdHGys_H0DhbCehs-3jnqWI4SHq0oh5gN1SN0tfC9S5_H6mdi81K0pQk5zwZ9buistOFEbf0tS1h0faqLTdc2uA5kSRxjA_CxHnABPJk2T1rG2QC9q37vTUIcIZCtdI8OVT2IKOdGOxzfVjSSLy4ddy0T2te1jOqhTYb0u9HTZ0h7zFYN4R7WX-YFkiD3XX4c6EQB2RXjPXjcbGaV37-JnvF1zdI-_ghKmTVrqilSYZq3YVwKcCNk5z7Ok4eCN1IS2C3nNK_ElNA1Z1IXEVz5btNnVQ4Q7coZ9DqxkrHHhzZLvvojKpy4YCC7MPbEWLLOj_8U8P4-CRmHgceBB8YM5n0iHfO2NI1BHASWzloeKxTVv54h49so9oGl7uCps8ZuvWAVNeuds2Cki2OVEme4Dn1EvTbPvUkyqkGtnULYJ_IA3kOgCD0XQm6tbqcKz7fYp4zyuU2AWzrPfBxqZspxbTONG0s1roFlhX-qdqSjoNWhNmCekBOwb2MJtlfwRWFd_WC_8rZeNVm-0wsLRvwulinB8tfGrW1KR_vnYN6TDA01qPXbzfRq17waeqsO7t8gcZcDCY9En-65sRWdBRDKrrHU-S2q_hHqYJZ7LZVsvX3hmLztJpXScvA8tZrsaGCZpgp5uj3QhGBSnZ02_90x_98oFSezN9ynsJKHoE6bJgWdwWaV19ZAQ9lxrgk-8uVMqlwoyzaxaYAqb7OX4FtyjjLUXHys9KV1_ACGbBgdndZ_o8keRkY8eLYoNIOUqfwRaD5j4xFK5SmZn_zIbP1kzamm3isUgbrCMIKBqnEb16gDOoM3NDe0WycFKXbzdFxvyYm7X96m2cW0RwYLrXmlE300DVkpWpYTp_FPcd5IZMLO9oP9IjQcwTH_dpoTudOWcYcj0P2OBCfE52o6G1B1oF94vYn_3q97LJV5BeDlef96NMqdhXiIPKOhnpjlYewsjSzu9XCaOLt5MFvSDXPO-u-LnRJYkmyEi-Z0lafyt2LGsJURo8hOpX6kOKSpepVZJ2WiqpOd6IN2FKx5sfvs-Q1ZldNq9F9BIogbr2JCNCsc46fMCNtatJ_10CiumMULQA4m4JsCLjjC2ucsJi_UHVVr1XbesXn8An9JXGiQxKIQg6YyVn9Lrh8t1cTpz1siszXWlfYcNyq29__32to8ufOGkLjHtDgdBch8mTBd8b7UgcMyw_8MOtCCJtBHW62MSFRVTSo47GDx1oFOJhvt-XS2KGu9Dm2Vjg4QIvoxiO5XjETJTnToLrgX0zEor3xaxki0Um5p9PaawAU7UxoN6oVVXnv6u7hB7DzwZDd4rjP36bhrshfAUU18pOzB2lEykA_89JBC0T4dWbrvzivmfXApwykRRUkFUGJxUws9o8pXov3NjYjRVda6Wj_bB8ZIRVfl6K20HAu72I5xlIXI1zhfmwgCMRHz4A19ztQtSjQ9ZguMIlR4q9q6-ni-9mcpewrHZ3_7fG-pwL0vTbVfrKhjQPgzhk0Efnp3slxjYLsdLqefCWizrP-KrAtWgcCEjRjC2LhfAm7FADbEGQupMxx-b5MNMfhdzQtESlzI0DwS7G8chqKvNWAabais9YJjzRFFyMCjoJae-yrV_tPlQZGzg8XbL8lPUoiXCLsosNhAOIUMKsfaz9wgSXzCUt6xGSyIOvaSka6DJi598GB_3N2KkQu6WeLTpeL17VS9UUxdxx35o3wO1n37k_sU0aRWFLhKWD5ilyo-G1H8dO_OIplGg==", "id": "rs_0c5412d50d76964b016a152a7f905881918033fd1cb0ce3284", "summary": [ { "type": "summary_text", "text": "**Normalizing video outputs**\n\nI need to think about whether a patch is necessary to normalize after the download, which might require ffmpeg. Maybe it's best to keep the final assembly separate from ComfyUI. The user has expressed some complaints, so I'm considering creating a `normalize_vertical_mp4` function. However, I want to avoid overcomplicating things. It might be a good idea to add a helper script to fix the vertical aspect and ensure the user gets the corrected output they want." } ] } ] }, { "role": "tool", "content": "{\"bytes_written\": 2390, \"dirs_created\": true, \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_Dx06FhILakjkPTt8KqZSxNsC" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_qRqBZN2HxzXCjKNY3t3hbQpf", "call_id": "call_qRqBZN2HxzXCjKNY3t3hbQpf", "response_item_id": "fc_01df415c74c3a535016a152a94a74081918eea4e166d0c036c", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"python scripts/fix_vertical_aspect.py data/generated_clips/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann/scene_01/seed_101.mp4 /tmp/autoshorts_aspect_check/scene_01_seed_101_fixed_by_script.mp4\",\"timeout\":120,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}" } } ], "finish_reason": "tool_calls", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqFSqUPKKcOalEla2GYdlkyDlCAomrrly0283nVP5kwxrg-9N9p64smlXPLpGaxVel-3xky9_FHgWn3mGKsvu0K4HPIlwmYODECHhka2qMzQDl1WeyZ_KHFBGjhy5WLLlyW9jcwsgnBuV1Vr2iI670HGD0bhngsv7lurqSQecgTJ3ovpAe1N9sFU7Ke5M2SBgXsfvojNOQJCZKhg0dCROBzjAKrymvMIeg5NGG0lERhUfHB4t4HnV5dJhc4kMVd_wovdbRy9dbTfXN6EboZsJUTYDNNqitY8aR0-3F1hvsR5AJvn0vLVVNjy8XPjEloYsY6ZmZn5wDkZaQUVIkR7tstWx9u1jVectbbLA4cZo4TptAQ6sq_JhPkz21LkXyBoJgIfPOPuLllSzN1l9vfPHkEXPQI8S28ILYMBq3HlJ8CYcN_zpL9OgygBMOfyA8vzOR1kYP6j0uIXCLCRSbrBOf9R_hmAucGx_BKmmtqjYaqkGwqxFsF8AY5o1RkGgwfTg52jBq_MHX2RiDs6LEh9qm7k9bteFXdc8Zoj2nnPjQrhFyS4aTzzIKSim7Hd3WrkKbiMbO-sV_IJ6H7Gx4KSMESOYcmxwhWho50HIIsu4UZj11I0WosG1Hib4XXuG7SCe3G0QpsGCsK9NINF2geJy3tf9vIY2MOZGuUhOT0NwhoFPzn62QnOx_6OWUPNFD-82ZZYhrhHfYrKWi9k8CpT6Dr507GgAb9wFxDnAMJg4YFt3nDkugkTLt-s7BUF4zz4uo4XmDFfgscbyyqDFl3G5IoREPqymb0rbchLtxjUv6HAuFeMHZyD-QxB-YgQVhbOuh5744YrGqMKrgmH2dns5B4o_XyTCEguPpdHt1vdQsY0GLbJUZ9ZpHnOTHlto2mGVVZsm8HMTQMQB_9wKpn-PPSBYTK_ereXQ6bT1tYGqF-C13JTkBZa0MZ_XXQpC_7mAR_9VG", "id": "rs_01df415c74c3a535016a152a9429a88191985126174af9f1bf", "summary": [] } ] }, { "role": "tool", "content": "{\"output\": \"{\\n \\\"output_path\\\": \\\"/tmp/autoshorts_aspect_check/scene_01_seed_101_fixed_by_script.mp4\\\",\\n \\\"width\\\": 1080,\\n \\\"height\\\": 1920,\\n \\\"sample_aspect_ratio\\\": \\\"1:1\\\",\\n \\\"display_aspect_ratio\\\": \\\"9:16\\\",\\n \\\"duration\\\": 5.083333\\n}\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_qRqBZN2HxzXCjKNY3t3hbQpf" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_wyZzkPjknAITGMoPcjUuzv65", "call_id": "call_wyZzkPjknAITGMoPcjUuzv65", "response_item_id": "fc_057208dbe01a9f0a016a152a9d5bac81918b75aff3d2ec8512", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"ffmpeg -y -hide_banner -loglevel error -i /tmp/autoshorts_aspect_check/scene_01_seed_101_fixed_by_script.mp4 -vf \\\"select=eq(n\\\\,10)\\\" -frames:v 1 /tmp/autoshorts_aspect_check/scene_01_fixed_frame.png\\npython - <<'PY'\\nfrom PIL import Image\\np='/tmp/autoshorts_aspect_check/scene_01_fixed_frame.png'\\nim=Image.open(p)\\nprint(im.size, im.getbbox())\\nPY\",\"timeout\":60,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}" } } ], "finish_reason": "tool_calls", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqFSqdn1ho5TQDDpt-SgelRiaimeX_48j7TaXyevjBsvMvXOVwEcD3givJXrRHkDioTfw9uPP_3RwWvGM_K4znnsWur8MytZSA2TD9uczMBZMhz_u4DG1lHNSoHQNEWU-UDhBWuq8vE8btkPYjY9wNmL-N_M-Op1gZcdslE-yJmmI8V9vAlkJj-cS-QpvpSqksxPSYu3q2DqZCB6ajns3pBc6u3mLKbKR73elqj4YJwe6I8tBp4pX3kkUg63RjQZ86ITlXh2a08i35HjCUsdlc3K4LlITObXY19w-HqYwx8FLCnccapJ3gZo5vLf5I3sen9V-KSwNiFchQEI47M4ihSuQNla-7ExGLODf6kkR_h9N9XKIJTCLd3LF6pBjfybO8tgAE76lsRrqJeGrJkX3s0tZBnB0Byx41pOBkV4l3qrYb7JNE32m8wyVj20KehzAW_4krhHwOLODuOAmnCHLU1Y5X0dbcudmzrvj3TttmqyR4l9xWueBhrQfApkBlghZz83tkZR3SWpiY3_Pdc4LCiwZvdgQrhpWzsSt8lMVXSIJz_d4NEhVEIVD0vg09Wp24fCIX89PGUdvjYg01PsDHPrIQl0J7uqq2ctbaAmbpP09BE1QwTvM2I1qcj9GuuDAJ9pebWsZ2nh4crl3ohvxPQcITWWF4YeWbuUTpPe0uBkUaM_KciX-2oicC0WU3ubhwaD8uV_m5rGxpAU854_aM4i0fi3hDTCym1J2m_akkghk0H8Wt1yHUsenS0n0K3gWzY_TCX3PrnE7Gv3iaq1PrB-4sJkqq5artzrY3mzCFcPTajVDuApg9i9HFYqtxR4pENswwH1X3fqwHZTXMIg9rZWXviC1NWDo_knGIvS9kpvxGsCv9RWLiTLk9uBHCnTR7z6TvLis06sjsavZx1r9YS-w3-wQvVMjKFIREH4qPzieIhpecxN0E_yExKL93f1aLg7VCvZLvXYTVETNSzvFKccDBsIG-GVqUAMN3E3-3E8ZZZd6Uf9stZuTTrJO38vO2IaDB", "id": "rs_057208dbe01a9f0a016a152a9cc03c8191acad730f7eaef2eb", "summary": [] } ] }, { "role": "tool", "content": "{\"output\": \"(1080, 1920) (0, 0, 1080, 1920)\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_wyZzkPjknAITGMoPcjUuzv65" }, { "role": "assistant", "content": "Stimmt, Sir — das ist ein Export-/Playback-Problem, nicht nur ein Schönheitsfehler.\n\nIch habe den Clip jetzt **mobile-safe neu normalisiert**:\n\n- Output: **1080×1920**\n- SAR: **1:1**\n- DAR: **9:16**\n- Filter: `scale → crop → setsar=1 → setdar=9/16`\n- Keine Letterbox-/Pillarbox-Metadaten-Spielchen mehr. Telegram sollte das jetzt korrekt hochkant anzeigen.\n\nIch habe außerdem ein kleines Fix-Script angelegt für künftige Exporte:\n\n`/home/agent/jarvis_runtime/AutoShortsBot/scripts/fix_vertical_aspect.py`\n\nKorrigierte Proof-Clips:\n\n**Scene 01 – fixed 9:16**\nMEDIA:/home/agent/jarvis_runtime/AutoShortsBot/data/aspect_fixed/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann/scene_01_seed_101_1080x1920_sar1.mp4\n\n**Scene 02 – fixed 9:16**\nMEDIA:/home/agent/jarvis_runtime/AutoShortsBot/data/aspect_fixed/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann/scene_02_seed_101_1080x1920_sar1.mp4", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqFSql-1UpXfKjwJTXJLC7IN44_epM3hNEjHKfE3kdbXhnDB47N3It-05cVgAVC-Jq4gnaouUuuDzaB0nuzDoxqD4cySK_IH-PzQnqRcyXoR6Sux4OvTlk6QVKHCXdnLetasp_BnqBYUNCh7WyAPsEldCHBArF9vK8ljfP405VTgrGN2f-9Y3DAj6cVyUF2nJcoWvvkDqihmzTgoFG_ePCNkB9cr8Sq0rdLpR6z4BKn0C6nrvnLbfIfXbn35iVH7jdL8_qYhWPTefK3LN3OtuMVblBz95GEj42wmec8Ob0qYSLvKcKIkf3rrlB68EHmLSi3b5gPwCQDHxILLeYRTK57qjEW2fHx3G1SVgmLlwM2htwSUfch5leFUZ6msYbvDMG8HoCQ-3IGcR9ktQJUuSFDGIS4YNhbRE3hLdGQrtvOiGqWeuLAAMCDDCoM_G39LFAJkYCso7OA7aY3sz2mIysZqj0deQ3_lucSETWYDAu79ue3oCOwXnzN6npv1Au2ssNVprlzx6vtiOet8eN1gxcERPob0pl2hFdvoWhJXqZPsowDZnxjbm9WXo-Df6KI2h3SD-92SJmQRmX399ZwjS8dOsyBTeGxeVWsL4Y4IZcOiW82Ie_EWdg9qIocGh4VMCiWD3XqSVlAE_xcr82cYOfsdWcbcQ5Q9CYuGISx3F0laTpIjtp8pvLCG06Yg_wAJHBCaR5PznXJqJZVaGw4OQQbCgLduaYxcDCBr3DfjazWVRrJXUpwMraaF3ULG6UFVeleYpUutr18NLPn5ahhfgj1U_2uh66pEDyYji1pE1KZX3Xai8CNbqs1cjdCl0W5cLJVczPc4At4jIYlk6rvBU0X02CK3Br6xZUeV5VQH8K73XWFRdrqWDHOXk8_1CFNk5Sr5F2T3dC_9XVv6rG6j2lbVwY10ZCEA7nBYowclNM1L9tGHeIJTtEG0bCl_CRdUBtZ1jtqGsQYpmFzQpD5olwbr1wyR1SLk2XLINNLqCqBfYHHmWsrkMJZNYz8T8lBXiX4V_2ua7r1DpEwHxDsWzDNSy_P9ezTuEZbMH58G35dMaI1UihHz7IoaMEdDcqoZAsFDxpl_CLm0AjQTOlbMRFQeXm7vEBlh8LQzN-lctfzEHqX2zb4-8p4TiqhgHbc8eZ1Iomh92c-ElKbIk4lBXGC7HihiZ4YOdkbvNIGLmAIIRHIqUWkhQ7qmhuLnxfy6bBZuWRHiMdIMEEj-mlhBZ-IMzd8X7Yo3Yt-xqqXu_aFy7JMEC6wEAT4qggDdxRZI_MXKNoL0pyu1ZgIzuv0Aj1hlY9TEF7tFCR8PmSC19pzfV55kw5oXos9d6EpBbXBROvROB376VbqpbvCObjggQ99AJeXmQPZtHAnrJ_UnscCBCA2wNn1XV_Rj5Qw61BmWY4YUockZ9qklS23sDC2GhEmAAd42IZOtEF45UWlzGdYVj8xXJAIeSzLOddoENQzvwvP81-uvB6irOB3r_uQW0Hjmi6HfdSlN3K6cwevdC_dm86hRc_x7nBLQTNg_TYcH5kvE-9HXzJITFlzCf8cCl-kpgAqfwLleSlQbT23mA3I7ychOsa7xoGkyjLNuKSYixnTgdPJjJcflPl3h46221LZHY5gJjhVGEvXyqEG3dzi-EFdfSMjBhL1lMHsqpSNPemAYpr7vmFf-d6w1__yTDfSN8wOxi4UhYN6RbpZf1LrvphBwfg04dxKwEBu8qJgCOZXkruhkBeUBp4WnhGxgnRmaHzW3Dtr5ILPcXeIm-6iL1bPzryzecGrkK_U1CBmps5I58b", "id": "rs_0653a96d40a8cbd5016a152aa1eab0819196884ec6ad66d996", "summary": [] } ], "codex_message_items": [ { "type": "message", "role": "assistant", "status": "completed", "content": [ { "type": "output_text", "text": "Stimmt, Sir — das ist ein Export-/Playback-Problem, nicht nur ein Schönheitsfehler.\n\nIch habe den Clip jetzt **mobile-safe neu normalisiert**:\n\n- Output: **1080×1920**\n- SAR: **1:1**\n- DAR: **9:16**\n- Filter: `scale → crop → setsar=1 → setdar=9/16`\n- Keine Letterbox-/Pillarbox-Metadaten-Spielchen mehr. Telegram sollte das jetzt korrekt hochkant anzeigen.\n\nIch habe außerdem ein kleines Fix-Script angelegt für künftige Exporte:\n\n`/home/agent/jarvis_runtime/AutoShortsBot/scripts/fix_vertical_aspect.py`\n\nKorrigierte Proof-Clips:\n\n**Scene 01 – fixed 9:16**\nMEDIA:/home/agent/jarvis_runtime/AutoShortsBot/data/aspect_fixed/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann/scene_01_seed_101_1080x1920_sar1.mp4\n\n**Scene 02 – fixed 9:16**\nMEDIA:/home/agent/jarvis_runtime/AutoShortsBot/data/aspect_fixed/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann/scene_02_seed_101_1080x1920_sar1.mp4" } ], "id": "msg_0653a96d40a8cbd5016a152aa56c448191a0df361b1ad8cc5e", "phase": "final_answer" } ], "finish_reason": "stop" }, { "role": "user", "content": "[M G] Ok, bereite das nächste video für den nächsten Post vor." }, { "role": "assistant", "content": "", "reasoning": "**Preparing for video automation**\n\nI definitely need to act and consider using AutoShorts. I’m also thinking about loading relevant skills I might need beforehand. Maybe I had the social skill loaded from earlier, but each response needs to ensure that skill is mandatory before replying. I should look into social media shorts automation, perhaps GitHub for resources. I need to prepare for the next video and inspect the repository to understand the upcoming post. Let’s figure out the next steps!", "finish_reason": "tool_calls", "reasoning_content": "**Preparing for video automation**\n\nI definitely need to act and consider using AutoShorts. I’m also thinking about loading relevant skills I might need beforehand. Maybe I had the social skill loaded from earlier, but each response needs to ensure that skill is mandatory before replying. I should look into social media shorts automation, perhaps GitHub for resources. I need to prepare for the next video and inspect the repository to understand the upcoming post. Let’s figure out the next steps!", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqFTnZY9F6TGdoQSTASvV7Nk2gD7afRsqUxbodbHXfEJVha2RN2OfffvQwbsdYq_Wjgwh68aJFNwZQ_FMdWcXBP6ukl9X45Qlk9NhPNRlrhfB_7tf-J5rKRdCh8Dts0nILOYKh3cnHhb7deYAswp638RstAy5I8LgAMHROHJp4eozOrKDc-h5J1H61o93vgUAOA8VJqktnNg57b2QAio7ToB_RIs9dX-QkwSBt-5Y_yfZKfCos69jOsfmiP1hYhhf4WrfrN8XCCsrn7dozMBRNeGVT0BcK7z42yes_6CVtvrzjtuZfZfNxaCd7BRkfPR0PCWTFCRY4P5IbO4EbIkUyQrkKUELRTuCQIl6oSYNinCtiRgGY64PAD6MC8NcBdHTTmNgw9KOxlm7m64iSJyA9F4_uYfFxiC3KZyo0GowYX8OywY-aEHiZVX6CESBfMuHcOYoHFo2Ciss9zfsvLZCVu1YO3wy62mvy-4KUPZSuPDkjtBozTy9a7FqnwLUFVTv_mlYuKyvwPbVdWg_4v4XX783rx4QDxC1vxoRY6O3mN5X05Thpzk0JHMSi9KBC8UUjHpfTwDfZsU6mm7zWJ48CNyqL-63P-1LnyjikFoAJV1RL6XMo3yx5Bn-he7B4wNawJFGIOvih3QXA_evFD0huu-5bkljzSe4uUlU3hnwmBujlxNR5xD80NXR28xE9RrVWPZmW-gJQjPBC9f39TftGHdmG_-xPjNcjNvG27k-fJX0GOUHpWiyA6VXe6OdbxW2unU4vlbQDl3VnIvdw0RvJG6-f5QDCQrCgiqrEZwuJ4xLAAboNQ1OTulbcCmG60l9p9-YRRBUahAaa8E_9P2KxLv-X3iCxaRbCMyklndT45VDYYvS_xLgX7oGrbHkgBf674KSlra8c3Rnd8AakkcatZpq6P9AOkhTMq6FCZFikFPGcdnGbvMaFHtNyv667eAEzROxSg7GzZvwV8B0ngq_H31N0zDJLQqRTwCFj8T8p9nCMNc6c95e27ShrP_jl3gIOl-8nxPAHORg1EpnaMfKttZVx5pz9wxFqukQQAw4S15RkOMPrLIfShLu53UAvNXegkOOrAE-MCKg4MEIcdrc_sqKuvbWJgVE-lgGer_AkPmJgkB4h3kuHR4A1K4_0Uz1Oqeg4Ogy78RNGgc1c5cadO3B5vNMXkHaTFrqWtGJYi4k3ft1IEfvUa5Wie52Oaw_e3kE2aLa6GYqo2NVemdZ71saXnQR3NzQf8YbkXVvQNd9ZSRlCJvm0WzWBUgCFqvDK1dkLxb45ajB2U8awApjDyLVeVTHiYLmgvUHdNv3iqKPre4scvbaRqkyo9CB0frR82GjspPzsFFTJ4CW_MOQTfinmS7w1XWFJuNk2gwMgIZBcVOOjUpeGPvubhIbG3uvuYWwu11aRa2MMGZFZkczqLRqlKZH1E6_PxiQhg8ktNS9ncAffa8LJ-dmRIemVgXI3JHcTqNA-8FSyXUogCt3eb3QxtKf_wwyZmECKxPbBCRrLxcxcCUyfvUXVS7snOT7Nchl9TFg0d62eEm0eyYWd0PeZMscH1vX77zyrlPwDLk_Do0wAKxWZARzi_78kok6NKXSTFotxYR3R3Rf2oHp81IN7mnJocZghimhXJ4-QhEZhujMXsOFPqkKnJ4pPU60Fk_E9cVA7cSRro9ZQtADfLAA3Hlk67Wx8wR-uFrdglqjcAMU=", "id": "rs_0653a96d40a8cbd5016a1539d435a081918f77288ca9a651eb", "summary": [ { "type": "summary_text", "text": "**Preparing for video automation**\n\nI definitely need to act and consider using AutoShorts. I’m also thinking about loading relevant skills I might need beforehand. Maybe I had the social skill loaded from earlier, but each response needs to ensure that skill is mandatory before replying. I should look into social media shorts automation, perhaps GitHub for resources. I need to prepare for the next video and inspect the repository to understand the upcoming post. Let’s figure out the next steps!" } ] } ], "tool_calls": [ { "id": "call_uuwDs5rjLH9vkjPRvWi9Ye9E", "call_id": "call_uuwDs5rjLH9vkjPRvWi9Ye9E", "response_item_id": "fc_0653a96d40a8cbd5016a1539d96e5c8191b631fd771b40d31a", "type": "function", "function": { "name": "skill_view", "arguments": "{\"name\":\"social-media-shorts-automation\",\"file_path\":\"references/final-motion-hybrid-rendering.md\"}" } } ] }, { "role": "tool", "name": "skill_view", "content": "{\"success\": true, \"name\": \"social-media-shorts-automation\", \"file\": \"references/final-motion-hybrid-rendering.md\", \"content\": \"# Final Motion Hybrid Rendering\\n\\nUse this pattern for mechanism-reveal Shorts where clarity matters more than cinematic generation.\\n\\n## Core rule\\n\\nAI image/video provides only text-free atmosphere and motion texture. The deterministic renderer owns all truth-bearing layers:\\n\\n- captions and subtitles;\\n- UI/email/card text;\\n- arrows, labels, numbers, and diagrams;\\n- factual claims and final assembly.\\n\\nDo not ask an image/video model to spell workflow labels or explain the mechanism. It will eventually produce fake UI text, malformed words, or pretty but unclear motion.\\n\\n## Recommended pipeline\\n\\n```text\\nFinal voiceover script\\n→ final video plan / scene timeline\\n→ scene-specific text-free image prompts\\n→ procedural motion renderer overlays\\n→ TTS voiceover\\n→ compact phrase-boundary subtitles\\n→ FFmpeg final assembly\\n→ visual QA frames\\n```\\n\\n## Scene-specific ChatGPT Image/Codex backgrounds\\n\\nWhen the user points out that ChatGPT Image is available through Codex, prefer it for fast text-free keyframe/background texture before reaching for local Qwen Image/ComfyUI. Local Qwen/ComfyUI remains useful for private/local batches or cost control, but for this class of mechanism-reveal prototype the lowest-friction path is often:\\n\\n```text\\nChatGPT Image/Codex background(s)\\n→ deterministic renderer overlays\\n→ FFmpeg assembly\\n```\\n\\nFor each production scene, create one background prompt that explicitly says:\\n\\n```text\\nVertical 9:16 cinematic background\\nNo readable text\\nNo logos\\nNo watermarks\\nNo UI labels\\nNo fake letters\\nLeave central negative space for renderer-owned overlays\\n```\\n\\nUse scene-specific mood, not baked-in explanations:\\n\\n- clean demo: calm laptop/workspace/dashboard glow;\\n- weird input: slightly messy email-workflow atmosphere, amber warning mood;\\n- wrong routing: abstract AI path energy, subtle red warning tension;\\n- mechanism split: minimal dark technical background with space for diagram overlay;\\n- final rule: calm premium blue/green tech background.\\n\\nStore generated media outside Git; commit only plans, prompts, tests, and docs.\\n\\n## Renderer-owned mechanism overlays\\n\\nA good beginner-friendly AI-systems Short should make the mechanism visible. Example pattern:\\n\\n```text\\nClean demo\\n→ weird email appears\\n→ AI confidently routes it wrong\\n→ three-way split:\\n Normal → Go through\\n Unclear → Review\\n Weird/Risky → Stop\\n→ final rule\\n```\\n\\nRender labels, arrows, cards, and captions locally. Check that arrows sit behind labels and that subtitles do not obscure the diagram.\\n\\n## Subtitle polish for final-motion videos\\n\\nUse compact phrase-boundary subtitles for final-near renders:\\n\\n- 1–4 word cues;\\n- split on semantic punctuation where possible;\\n- smaller than preview captions;\\n- placed high enough above bottom UI/safe zones;\\n- avoid cross-clause chunks like `ANYTHING DECIDE THREE`.\\n\\nFor a 1080x1920 ASS burn-in baseline, a useful starting point is:\\n\\n```text\\nFontsize: 72\\nMarginV: 320\\nMax lines: 2\\n```\\n\\nAlways inspect at least one critical mechanism frame after subtitle burn-in before exporting or sending.\\n\\n## Approval package after first-public export\\n\\nOnce a 1080x1920 candidate exists, do not stop at \\\"video rendered\\\". Prepare a side-effect-free final approval package before any delivery/platform step:\\n\\n```text\\nmedia path\\nSHA256 checksum\\nplatform labels\\ntitle variants\\ncaption + hashtags\\nhook\\nfinal/review language metadata\\nquality notes\\napproval commands\\n```\\n\\nGuardrails:\\n\\n- `requires_human_approval=True`\\n- `side_effects=()`\\n- no Telegram/platform calls inside the package builder\\n- no implicit action words like `publish` or `post`\\n- verify the checksum and ffprobe metadata from the actual file before presenting approval metadata\\n\\nThis turns a rendered MP4 into an auditable review artifact instead of a loose file path.\\n\\n## QA gates\\n\\nBefore treating a render as a first-public candidate, verify:\\n\\n- first 2 seconds communicate the concrete problem;\\n- top text, subtitles, and voiceover come from one source of truth;\\n- no generated image contains readable fake text/logos;\\n- mechanism labels are readable on mobile;\\n- subtitles do not compete with the core diagram;\\n- audio and video durations match closely;\\n- generated media remains ignored by Git.\\n\", \"file_type\": \".md\"}", "tool_call_id": "call_uuwDs5rjLH9vkjPRvWi9Ye9E" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "call_POOWW77UbSoTotB7yvVx2W0v", "call_id": "call_POOWW77UbSoTotB7yvVx2W0v", "response_item_id": "fc_0653a96d40a8cbd5016a1539db716081918d710cc1d17475d6", "type": "function", "function": { "name": "skill_view", "arguments": "{\"file_path\":\"references/truetrace-strategic-neuausrichtung.md\",\"name\":\"social-media-shorts-automation\"}" } } ] }, { "role": "tool", "name": "skill_view", "content": "{\"success\": true, \"name\": \"social-media-shorts-automation\", \"file\": \"references/truetrace-strategic-neuausrichtung.md\", \"content\": \"# TrueTraceShorts strategic refactor notes\\n\\nUse this reference when developing or revising the user's AutoShortsBot / TrueTraceShorts strategy, briefs, scoring, review packages, or implementation roadmap.\\n\\n## Core strategic shift\\n\\nTrueTraceShorts should not be positioned as another AI/prompt-tips channel. The stronger positioning is:\\n\\n> Trace the hidden system. Fix the outcome.\\n\\nGerman explanation:\\n\\n> Wir zeigen, warum digitale Dinge im Alltag schiefgehen — und welche kleine Systemregel sie repariert.\\n\\nKeep `Systems over prompts.` as a usable tagline, but interpret it broadly: not just better prompts, but better digital thinking, work, attention, decision, safety, and workflow systems.\\n\\nThe bot is a learning editorial system, not a content automaton:\\n\\n```text\\nResearch signal → hypothesis → ContentBrief → ScriptDraft → VideoCandidate\\n→ score/gate → review/preview → human approval → manual post pack\\n→ analytics feedback → next experiment\\n```\\n\\n## Content mix target\\n\\nFor the next strategic test batch, avoid an all-AI feed. Suggested mix for ~60 videos:\\n\\n- 35% — AI That Actually Helps / AI Output Autopsy\\n- 20% — Digital Self-Defense: scams, phishing, fake reviews, privacy/data traps, hallucination risks\\n- 20% — Attention & Decision Systems: focus, to-dos, meetings, decisions, overload\\n- 15% — Workflow Teardowns: email, calendar, notes, automations, broken work systems\\n- 10% — Algorithm & Social Search Literacy: feeds, search, recommendations, content consumption\\n\\nAI remains important, but should usually be 30–40% of the content universe, not 100%.\\n\\n## Recommended series\\n\\n- `AI Output Autopsy` — bad AI answer → why it sounds right but fails → rule.\\n- `Digital Red Flags` — normal-looking digital situation → one warning signal exposes the trap.\\n- `One Broken Workflow` / `Workflow Teardown` — mini-workflow fails → missing boundary/decision/exception path.\\n- `Decision Design` — people ask tools for answers when they need decision criteria.\\n- `Attention Traps` — normal digital behavior explained as an attention mechanism; avoid medical claims.\\n- `Search Smarter` — TikTok/YouTube/Google/AI search done badly vs. better.\\n- `Worklife Systems` — meetings, email, notes, calendar, to-dos.\\n\\n## Standard video structure\\n\\nUse `visible fail → identification → mechanism → fix → before/after → memorable takeaway`:\\n\\n1. 0–1.5s: visible conflict in the first frame, not just text.\\n2. 1.5–5s: viewer recognition / identity.\\n3. 5–14s: mechanism reveal — why it happens.\\n4. 14–28s: practical fix — rule, phrase, template, checklist, or decision frame.\\n5. 28–38s: before/after.\\n6. final 2–4s: memorable sentence with save/share/follow reason.\\n\\nEvery video must answer:\\n\\n- What concretely goes wrong?\\n- Why does it happen?\\n- What is the simple correction?\\n- What sentence should stick?\\n- Why would the viewer save or share it?\\n- Why would they follow this channel/series?\\n\\n## ContentBrief fields to add or require\\n\\nAdd these fields before scripting so JARVIS cannot generate generic AI-topic sludge:\\n\\n- `audience_need`: boredom | urgency | fear | competence | clarity | status | safety | curiosity\\n- `job_to_be_done`: “When I …, I want to …, so I can …”\\n- `viewer_identity`: beginner | creator | solo_founder | office_worker | student | parent | small_team | freelancer\\n- `viewer_emotion_before`: confused | annoyed | overwhelmed | skeptical | curious | embarrassed | anxious\\n- `viewer_emotion_after`: relieved | smarter | in_control | warned | motivated | equipped\\n- `share_reason`: “I would send this to someone because …”\\n- `save_reason`: “I would save this because …”\\n- `follow_reason`: “I would follow this channel because …”\\n- `search_intent_phrase`: platform-native problem/search phrase\\n- `series_id`: ai_output_autopsy | digital_red_flags | decision_design | workflow_teardown | attention_traps | search_smarter | worklife_systems\\n- `saturation_risk`: low | medium | high\\n- `human_texture`: real example | mini case | tested prompt | screen recording | personal observation | source-based claim\\n- `claim_risk`: low | medium | high\\n- `ai_disclosure_required`: yes | no | unclear\\n\\n## 100-point scoring model\\n\\nScore candidates on viewer behavior, not internal cleverness:\\n\\n- Problem Urgency — 15\\n- First-Frame Clarity — 12\\n- Hook Curiosity — 12\\n- Mechanism Value — 12\\n- Practical Payoff — 15\\n- Retention Path — 10\\n- Share/Save Potential — 10\\n- Trust/Human Texture — 8\\n- Series Fit — 4\\n- Saturation Defense — 2\\n\\nHard-block if:\\n\\n- no concrete problem\\n- no clear solution\\n- first frame is only text / no visible conflict\\n- hook sounds like a generic AI tip\\n- claim is not sourceable\\n- too similar to the last ~10 videos\\n- no save/share/follow reason\\n- realistic AI-generated content has unclear disclosure status\\n\\n## Research, claims, and compliance layers\\n\\nInsert a research layer before scripting:\\n\\n```text\\nSignal → hypothesis → brief → script → candidate → score → render\\n```\\n\\nUseful planned modules:\\n\\n- `autoshorts.research.trend_signals`\\n- `autoshorts.research.social_search`\\n- `autoshorts.research.topic_saturation`\\n- `autoshorts.claims.fact_gate`\\n- `autoshorts.strategy.experiment`\\n- `autoshorts.compliance.ai_disclosure`\\n\\nEvery factual claim should carry source/risk. Any `unclear` disclosure should block or require manual review before publishing.\\n\\n## Visual grammar\\n\\nMotion must explain meaning, not just interrupt attention. Add/maintain a visual grammar keyed by mechanism type:\\n\\n- missing boundary → open container / leaking information\\n- decision gap → three paths, one lights up\\n- false confidence → foggy cards becoming clear with constraints\\n- urgency trap → timer + red urgency line\\n- overload → stack of cards sorted by one rule\\n- before/after → split-screen with marked difference\\n- exception path → workflow line breaks, detour appears\\n- attention capture → cursor/thought pulled by app tiles\\n- hidden cost → free/cheap path reveals later cost\\n\\nPotential module: `autoshorts.rendering.visual_grammar`.\\n\\n## Captions, voice, and human texture\\n\\n- Forced alignment is a top priority. If captions drift, simplify visuals before tolerating bad sync.\\n- Support three caption modes:\\n - `word_by_word` — fast hooks / high-energy TikTok style\\n - `phrase_by_phrase` — clearer for complex explanations\\n - `keyword_pulse` — calmer premium look for key ideas\\n- Avoid the vibe: “an AI voice explaining an AI tip about AI.”\\n- Require human texture: real/credible mini-situation, tested prompt, screen recording, personal observation, or source-based claim.\\n\\n## Review package v2\\n\\nFuture Telegram/content review packages should include strategy and risk, not only visuals:\\n\\n- Candidate ID, version, media hash, script hash\\n- Series, audience need, viewer emotion before/after\\n- Hook, first-frame description, open loop, mechanism, takeaway\\n- Save/share/follow reason\\n- Platform fit per YouTube/TikTok/Instagram\\n- Claims: source + risk\\n- AI disclosure: yes/no/unclear per platform\\n- Policy/brand/saturation/repetition risks\\n- Experiment hypothesis and expected winning metric\\n\\nApproval should bind to exact version/hash.\\n\\n## Analytics early\\n\\nDo not wait for auto-publishing to add analytics. In phase 1, manually record:\\n\\n- platform, video_id, post_time, series_id, hook_type, topic_cluster, duration\\n- first_frame_type, caption_style, voice_style, visual_template, CTA type\\n- at 1h/24h/72h/7d: views, likes, comments, shares, saves, follows\\n- YouTube: shown in feed, viewed vs swiped away/chose to view, engaged views, average view duration, average percentage viewed\\n\\nDiagnosis rules:\\n\\n- High view-vs-swipe, low completion → hook strong, body weak; get to mechanism faster.\\n- Low view-vs-swipe, high completion → content good, first frame weak; retest hook/visual.\\n- High completion, low follows → useful but weak series promise; strengthen CTA/series branding.\\n- Many saves, few shares → practical but not social; add “send this to …” context.\\n- Many shares, few saves → relatable but not useful enough; add concrete takeaway.\\n- Many views, no follows → too generic or not brand-defining.\\n\\n## 30-day test plan\\n\\nPrefer 30 controlled experiments over volume:\\n\\n- 5 series × 6 videos\\n- test 2 hook types per series\\n- test 2 length bands: 25–35s and 40–55s\\n- generate 3 candidates/day but publish only 1/day manually\\n- compare follow/view, saves/view, shares/view, completion, real problem-resonance comments, and repeatability\\n\\nWinning format = repeatable reach + trust + follow reason, not just most views.\\n\", \"file_type\": \".md\"}", "tool_call_id": "call_POOWW77UbSoTotB7yvVx2W0v" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "call_EnRTNtVsVG5RL0G86ibczBsI", "call_id": "call_EnRTNtVsVG5RL0G86ibczBsI", "response_item_id": "fc_0653a96d40a8cbd5016a1539dd8bbc8191bafcc58bbbae19fa", "type": "function", "function": { "name": "todo", "arguments": "{\"todos\":[{\"content\":\"Repo-Zustand und nächste verfügbare Video-Kandidaten prüfen\",\"id\":\"inspect\",\"status\":\"in_progress\"},{\"content\":\"Nächsten Post-Kandidaten auswählen und Produktionsartefakte vorbereiten\",\"id\":\"prepare\",\"status\":\"pending\"},{\"content\":\"9:16/Audio/Subtitles/QA verifizieren und Review-Package liefern\",\"id\":\"qa\",\"status\":\"pending\"}]}" } } ] }, { "role": "tool", "name": "todo", "content": "{\"todos\": [{\"id\": \"inspect\", \"content\": \"Repo-Zustand und nächste verfügbare Video-Kandidaten prüfen\", \"status\": \"in_progress\"}, {\"id\": \"prepare\", \"content\": \"Nächsten Post-Kandidaten auswählen und Produktionsartefakte vorbereiten\", \"status\": \"pending\"}, {\"id\": \"qa\", \"content\": \"9:16/Audio/Subtitles/QA verifizieren und Review-Package liefern\", \"status\": \"pending\"}], \"summary\": {\"total\": 3, \"pending\": 2, \"in_progress\": 1, \"completed\": 0, \"cancelled\": 0}}", "tool_call_id": "call_EnRTNtVsVG5RL0G86ibczBsI" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "call_BZEQtkaAFUiYS25OeDkz6iDz", "call_id": "call_BZEQtkaAFUiYS25OeDkz6iDz", "response_item_id": "fc_0653a96d40a8cbd5016a1539e17b848191b1d207940fb5c376", "type": "function", "function": { "name": "search_files", "arguments": "{\"limit\":80,\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot\",\"pattern\":\"*\",\"target\":\"files\"}" } } ] }, { "role": "tool", "name": "search_files", "content": "{\"total_count\": 80, \"files\": [\"/home/agent/jarvis_runtime/AutoShortsBot/data/aspect_fixed/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann/telegram_safe/scene_02_seed_101_FULLBLEED_1080x1920_30fps.mp4\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/aspect_fixed/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann/telegram_safe/scene_01_seed_101_FULLBLEED_1080x1920_30fps.mp4\", \"/home/agent/jarvis_runtime/AutoShortsBot/scripts/fix_vertical_aspect.py\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/aspect_fixed/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann/scene_02_seed_101_1080x1920_sar1.mp4\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/aspect_fixed/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann/scene_01_seed_101_1080x1920_sar1.mp4\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/clip_reviews/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.json\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/i2v_run_reports/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.json\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/generated_clips/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann/scene_02/seed_303.mp4\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/generated_clips/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann/scene_02/seed_202.mp4\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/generated_clips/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann/scene_02/seed_101.mp4\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/generated_clips/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann/scene_01/seed_303.mp4\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/generated_clips/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann/scene_01/seed_202.mp4\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/generated_clips/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann/scene_01/seed_101.mp4\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/keyframes/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann/scene_02.png\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/keyframes/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann/scene_01.png\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/keyframes/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann/variant_3.png\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/keyframes/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann/variant_2.png\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/keyframes/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann/variant_1.png\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/keyframe_generation_reports/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.json\", \"/home/agent/jarvis_runtime/AutoShortsBot/scripts/generate_keyframes_nvidia.py\", \"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/__pycache__/nvidia_image_client.cpython-311.pyc\", \"/home/agent/jarvis_runtime/AutoShortsBot/tests/__pycache__/test_nvidia_image_client.cpython-311-pytest-9.0.2.pyc\", \"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_nvidia_image_client.py\", \"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/nvidia_image_client.py\", \"/home/agent/jarvis_runtime/AutoShortsBot/tests/__pycache__/test_i2v_clip_jobs.cpython-311-pytest-9.0.2.pyc\", \"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_i2v_clip_jobs.py\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/source_images/vw_rabbit_red_front.jpg\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/source_images/honda_city_red_front.jpg\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/source_images/red_hatchback_garage.jpg\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/source_images/garage_car_fixed.jpg\", \"/home/agent/jarvis_runtime/AutoShortsBot/scripts/run_i2v_clip_jobs.py\", \"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/__pycache__/i2v_job_runner.cpython-311.pyc\", \"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/i2v_job_runner.py\", \"/home/agent/jarvis_runtime/AutoShortsBot/tests/__pycache__/test_i2v_job_runner.cpython-311-pytest-9.0.2.pyc\", \"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_i2v_job_runner.py\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/keyframe_requests/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.json\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/i2v_clip_jobs/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.json\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/i2v_prompt_plans/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.json\", \"/home/agent/jarvis_runtime/AutoShortsBot/scripts/prepare_keyframe_requests.py\", \"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/__pycache__/keyframe_package.cpython-311.pyc\", \"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/__pycache__/keyframe_prompt.cpython-311.pyc\", \"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/keyframe_prompt.py\", \"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/keyframe_package.py\", \"/home/agent/jarvis_runtime/AutoShortsBot/tests/__pycache__/test_keyframe_package.cpython-311-pytest-9.0.2.pyc\", \"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_keyframe_package.py\", \"/home/agent/jarvis_runtime/AutoShortsBot/scripts/generate_i2v_clip_jobs.py\", \"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/__pycache__/comfyui_client.cpython-311.pyc\", \"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/__pycache__/i2v_clip_jobs.cpython-311.pyc\", \"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/comfyui_client.py\", \"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/i2v_clip_jobs.py\", \"/home/agent/jarvis_runtime/AutoShortsBot/tests/__pycache__/test_comfyui_client.cpython-311-pytest-9.0.2.pyc\", \"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_comfyui_client.py\", \"/home/agent/jarvis_runtime/AutoShortsBot/docs/style_bible.md\", \"/home/agent/jarvis_runtime/AutoShortsBot/tests/__pycache__/test_keyframe_prompt.cpython-311-pytest-9.0.2.pyc\", \"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_keyframe_prompt.py\", \"/home/agent/jarvis_runtime/AutoShortsBot/scripts/generate_i2v_prompt_plans.py\", \"/home/agent/jarvis_runtime/AutoShortsBot/docs/wan22_prompting_playbook.md\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/comfyui_outputs/autoshorts_native_wan22_rabbit_i2v_crop_5s_00001_.mp4\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/comfyui_native_wan22_rabbit_i2v_crop_5s_workflow.json\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/source_images/rabbit_meadow_keyframe_crop_416x736.png\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/comfyui_outputs/autoshorts_native_wan22_rabbit_i2v_5s_00001_.mp4\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/comfyui_native_wan22_rabbit_i2v_5s_workflow.json\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/source_images/wild_rabbit_lossiemouth.jpg\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/source_images/european_rabbit_lake.jpg\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/source_images/rabbit_meadow_keyframe_416x736.png\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/source_images/rabbit_meadow_wikimedia.jpg\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/comfyui_outputs/autoshorts_native_wan22_house_jump_5s_00001_.mp4\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/comfyui_native_wan22_house_jump_5s_workflow.json\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/comfyui_outputs/autoshorts_wan22_scene01_bright_416x736_00001_.mp4\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/comfyui_wan22_scene01_bright_416x736_workflow.json\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/comfyui_outputs/autoshorts_wan22_scene01_416x736_tiled_00001_.mp4\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/comfyui_wan22_scene01_416x736_tiled_workflow.json\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/comfyui_wan22_scene01_416x736_t5legacy_workflow.json\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/comfyui_wan22_scene01_416x736_workflow.json\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/comfyui_outputs/autoshorts_scene01_gpu_480x832_00001_.mp4\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/comfyui_scene01_gpu_480x832_workflow.json\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/comfyui_outputs/autoshorts_scene01_gpu_preview_00001_.mp4\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/comfyui_scene01_gpu_preview_workflow.json\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/comfyui_outputs/autoshorts_scene01_wan_probe_00001_.mp4\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/comfyui_scene01_probe_workflow.json\"]}", "tool_call_id": "call_BZEQtkaAFUiYS25OeDkz6iDz" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqFTnlMC0dTniVthg30odKQSkULMNR7cP2TWHmRRoGTqOatOwkwKdn_u1icGNYFKvtr6FYOMuxVjHEZGq9-OoWl5ZZ-gTUGWcEvb1zm8CKxvi2qyKMSDN9ECREsp_dhFuSTb1D3yufnNZfUgjWO4AxHJ3GjznWFCpNLHcOFlrtlkP-jkGTxS1b297-gDOd5YPauNkRJ-SFOy7hMgBErmjPHYjQlSDE54x2AJxZQHsIE0du19ebh03-jcUuinWGkgaBKlb6-0dyU4wlxfDQYYWzof5NrpWNeG0eQi0CRBkrprHPZlkccq3-KUYKiyN9g-beKP3YoVdirWbRs2eXIGsBlm3CIAzOZT8IVE1gNfM8iYbgjABt9oeua0qlZG-Xw8XeYawoimQfZupeMA2AHJM068PQP1bDSMq0rob74nnWJoCzQbMMITUW1dspijUcCngep5u8LvvJEgiOfrzYmhadiVBE_rinSA6VTkqI-4ZAEk2w5jAvZ3TVS0K9dNlFPcvQpZlswdjw-0ZLITLJdZ_-4J56qAQgJz6yufM5c-qUBmxLTQnQr57bD-MuQiXouaZ58r4mmN5w-UP9yslXhAMH6rFElgaETfpbQ_FblB_IXvzHLqIdKbwp2EP6YAcubtYv8GADWwBIxpZ15rtjgx9S0V6AUWzYgj7QzWa5w137qYz20wPFhRF5fYN-FtIWItELOpX2dVmZsudhzF2VlFjt7M88QOweHa4sgwSmq5ZtGZzV2ORxuoFoX8rIIMf6g9I4nwg6YxdfPqoByNblwLUZsyK6AQH9IubV1cPxS-VckKUFO_qc4u46U5aLI4n3XdLFqsxW-sKzEUFMZfg_WtefM0gz5JAVpzk0H6KZmRNHl1nyC2Y89y09bZqnbpngjoEUkb5PGXYmTE9-WOcgqHg66Jd3vp4Br_-W7KFWI1t1H3ecSYeBvhWp664g4vFJJF6eBK9P", "id": "rs_0653a96d40a8cbd5016a1539e4c8c88191a30a1a85fb88eb70", "summary": [] } ], "tool_calls": [ { "id": "call_nDFUrmuPlMimEonzSUAIBI7o", "call_id": "call_nDFUrmuPlMimEonzSUAIBI7o", "response_item_id": "fc_0653a96d40a8cbd5016a1539e5730481918cb64dd04bf93154", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"git status --short && python - <<'PY'\\nimport pathlib,json\\nroot=pathlib.Path('data')\\nfor pat in ['**/review*.json','**/*review*','**/*approval*','**/*.mp4','**/*package*']:\\n print('\\\\nPAT',pat)\\n for p in sorted(root.glob(pat), key=lambda p:p.stat().st_mtime, reverse=True)[:10]: print(p)\\nPY\",\"timeout\":60,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"?? autoshorts/review_package.py\\n?? data/comfyui_native_wan22_house_jump_5s_workflow.json\\n?? data/comfyui_native_wan22_rabbit_i2v_5s_workflow.json\\n?? data/comfyui_native_wan22_rabbit_i2v_crop_5s_workflow.json\\n?? data/comfyui_scene01_gpu_480x832_workflow.json\\n?? data/comfyui_scene01_gpu_preview_workflow.json\\n?? data/comfyui_scene01_probe_workflow.json\\n?? data/comfyui_wan22_scene01_416x736_t5legacy_workflow.json\\n?? data/comfyui_wan22_scene01_416x736_tiled_workflow.json\\n?? data/comfyui_wan22_scene01_416x736_workflow.json\\n?? data/comfyui_wan22_scene01_bright_416x736_workflow.json\\n?? data/comfyui_wan_micro_smoke_workflow.json\\n?? data/comfyui_wan_smoke_workflow.json\\n?? data/telegram_reviews/\\n?? scripts/fix_vertical_aspect.py\\n?? scripts/generate_telegram_review_packages.py\\n?? tests/test_review_package.py\\n\\nPAT **/review*.json\\n\\nPAT **/*review*\\ndata/clip_reviews\\ndata/comfyui_outputs/autoshorts_scene01_gpu_preview_00001_.mp4\\ndata/comfyui_scene01_gpu_preview_workflow.json\\ndata/telegram_reviews\\ndata/previews\\ndata/reviews\\n\\nPAT **/*approval*\\ndata/reviews/testbatch_002/ai-006-a-real-ai-assistant-needs-an-approval-gate.md\\n\\nPAT **/*.mp4\\ndata/aspect_fixed/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann/telegram_safe/scene_02_seed_101_FULLBLEED_1080x1920_30fps.mp4\\ndata/aspect_fixed/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann/telegram_safe/scene_01_seed_101_FULLBLEED_1080x1920_30fps.mp4\\ndata/aspect_fixed/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann/scene_02_seed_101_1080x1920_sar1.mp4\\ndata/aspect_fixed/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann/scene_01_seed_101_1080x1920_sar1.mp4\\ndata/generated_clips/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann/scene_02/seed_303.mp4\\ndata/generated_clips/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann/scene_02/seed_202.mp4\\ndata/generated_clips/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann/scene_02/seed_101.mp4\\ndata/generated_clips/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann/scene_01/seed_303.mp4\\ndata/generated_clips/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann/scene_01/seed_202.mp4\\ndata/generated_clips/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann/scene_01/seed_101.mp4\\n\\nPAT **/*package*\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_nDFUrmuPlMimEonzSUAIBI7o" }, { "role": "assistant", "content": "", "reasoning": "**Inspecting review packages**\n\nI think I need to take a closer look at the review package, or maybe multiple packages. There might be some details I need to clarify or assess, so I'll check them thoroughly. It’s probably important to understand the contents and context before moving forward. Hmm, just making sure I’m on the right track here and considering all aspects carefully! I want to make sure everything is accounted for.", "finish_reason": "tool_calls", "reasoning_content": "**Inspecting review packages**\n\nI think I need to take a closer look at the review package, or maybe multiple packages. There might be some details I need to clarify or assess, so I'll check them thoroughly. It’s probably important to understand the contents and context before moving forward. Hmm, just making sure I’m on the right track here and considering all aspects carefully! I want to make sure everything is accounted for.", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqFTnrpw3MGa7DC1z2Oeqq-G6Yy4rsZp-TA4dj16a0K7qsrQOS6rrJsTsFmgacAQ7YnxLNZEjsvcyd3cO5DNs4BITjHUeLXDu52cdPggCeZwTjWbxIs5L0BZ917p9PW4e8KOYy0Rd5G6trBAS1PvfoVJcDbutMPBeL6THG8sTq5kIlzyvDNXUP9TZH-NtkxqsztXfdO3xbLtYqG2sTQ8A26Jrb5BgyZd82XLM0zXWcoNP2vlpCnR0yx77b2fofeFsum0oQK3FxzoQT9ZrPpn4SgJMSEP8l8iMXxBHhmAZq-gbl0t3e4GbaEeHWWZUTg82gWayDIscuevHzJvCFnQCSKWU0JUun2KbgQodaW47jjA9vz5TT6lcQv7yr7liE8fnIG1DZExUgK3yvfY3zA8TbD6CWP9BI-X30mn_MyxQKkC9zobvVeyWz3uEBca3R5GtaXiStcRVGrygADCvko9PWlRT13U0S7se57ZaowfX2dVTI-QRuruOIEjO8xGttWVpgxX-3SMlrfP3CuJ0FDJ-lfd-rgiDkG2N7RmG1u0N9Q_Uq6zkjuYSLuYPfBgO5ezG4rnsAzSF9uNfpWcSfZ2mnRDFy-bTdfpjqr8RoIJU7XDQ8vl1kfP-9XtLrw_CDx42zhsbHjVOnpM0jlDS50CguJLgn6ZiYaubsmyYGrv-9K8a0Bofejb7JhyCoF5J7v9nT7iIJWOhDHiNkru9kaIH_QksZ1AjvbSHHhUnqkmzVjgXRxK8trCGBohHClV1Dye89z7XtDp4mbEUgmP_oeJDVQdg8K2Y34j-Yu1kpiNdy16UDd3-UZHmrKwDJMAWyOmzwKLNwDvY-1L53nGr6dLvWSAs32oQunC_vB24mHLiO1x9sdpXCwG8JEV_PF6vjkDPeu4CiNovrL32sqeJi8eYNRGI_FCTPxEMQDUQ6UiDL853mcdWUeE1sCRiq3DSlHkuhnFEGUlleKzGZYdwqN8tLN1UT-w==", "id": "rs_0653a96d40a8cbd5016a1539e96ebc8191a9dcba7fea65a5ec", "summary": [ { "type": "summary_text", "text": "**Inspecting review packages**\n\nI think I need to take a closer look at the review package, or maybe multiple packages. There might be some details I need to clarify or assess, so I'll check them thoroughly. It’s probably important to understand the contents and context before moving forward. Hmm, just making sure I’m on the right track here and considering all aspects carefully! I want to make sure everything is accounted for." } ] } ], "tool_calls": [ { "id": "call_it2SsAwFXbn5fLBrVz2sJSfj", "call_id": "call_it2SsAwFXbn5fLBrVz2sJSfj", "response_item_id": "fc_0653a96d40a8cbd5016a1539ebe0608191855a026be8fe5540", "type": "function", "function": { "name": "read_file", "arguments": "{\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/review_package.py\",\"limit\":240}" } } ] }, { "role": "tool", "name": "read_file", "content": "{\"content\": \" 1|\\\"\\\"\\\"Telegram review package generation for AutoShortsBot preview candidates.\\\"\\\"\\\"\\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|APPROVAL_COMMANDS = [\\n 10| \\\"Freigabe alle\\\",\\n 11| \\\"Freigabe YouTube\\\",\\n 12| \\\"Freigabe TikTok\\\",\\n 13| \\\"Freigabe Instagram\\\",\\n 14| \\\"Ablehnen\\\",\\n 15| \\\"Ändern: \\\",\\n 16|]\\n 17|\\n 18|PLATFORM_LABELS = {\\n 19| \\\"youtube_shorts\\\": \\\"YouTube Shorts\\\",\\n 20| \\\"tiktok\\\": \\\"TikTok\\\",\\n 21| \\\"instagram_reels\\\": \\\"Instagram Reels\\\",\\n 22| \\\"facebook_reels\\\": \\\"Facebook Reels\\\",\\n 23|}\\n 24|\\n 25|\\n 26|def _idea_index(batch: dict[str, Any]) -> dict[str, dict[str, Any]]:\\n 27| return {idea[\\\"id\\\"]: idea for idea in batch.get(\\\"ideas\\\", [])}\\n 28|\\n 29|\\n 30|def _format_platforms(platforms: list[str]) -> str:\\n 31| return \\\", \\\".join(PLATFORM_LABELS.get(platform, platform) for platform in platforms)\\n 32|\\n 33|\\n 34|def _manifest_summary(manifest: dict[str, Any]) -> dict[str, Any]:\\n 35| visual_items = [item for item in manifest[\\\"timeline\\\"] if item[\\\"track\\\"] == \\\"visual\\\"]\\n 36| caption_items = [item for item in manifest[\\\"timeline\\\"] if item[\\\"track\\\"] == \\\"captions\\\"]\\n 37| visual_types = sorted({item[\\\"type\\\"] for item in visual_items})\\n 38| return {\\n 39| \\\"duration_seconds\\\": round(manifest[\\\"video\\\"][\\\"duration_ms\\\"] / 1000),\\n 40| \\\"visual_scene_count\\\": len(visual_items),\\n 41| \\\"caption_beat_count\\\": len(caption_items),\\n 42| \\\"visual_types\\\": visual_types,\\n 43| }\\n 44|\\n 45|\\n 46|def build_review_package(\\n 47| idea: dict[str, Any],\\n 48| manifest: dict[str, Any],\\n 49| preview_path: Path | None = None,\\n 50|) -> dict[str, Any]:\\n 51| \\\"\\\"\\\"Build structured Telegram review metadata for one rendered candidate.\\\"\\\"\\\"\\n 52| summary = _manifest_summary(manifest)\\n 53| package = {\\n 54| \\\"id\\\": idea[\\\"id\\\"],\\n 55| \\\"title\\\": idea[\\\"title\\\"],\\n 56| \\\"pillar\\\": idea[\\\"pillar\\\"],\\n 57| \\\"platforms\\\": idea[\\\"platform_target\\\"],\\n 58| \\\"duration_seconds\\\": summary[\\\"duration_seconds\\\"],\\n 59| \\\"hook\\\": idea[\\\"hook\\\"],\\n 60| \\\"caption\\\": idea[\\\"caption\\\"],\\n 61| \\\"cta\\\": idea[\\\"cta\\\"],\\n 62| \\\"quality_score\\\": idea[\\\"quality_score\\\"],\\n 63| \\\"risk_notes\\\": idea[\\\"risk_notes\\\"],\\n 64| \\\"visual_scene_count\\\": summary[\\\"visual_scene_count\\\"],\\n 65| \\\"caption_beat_count\\\": summary[\\\"caption_beat_count\\\"],\\n 66| \\\"visual_types\\\": summary[\\\"visual_types\\\"],\\n 67| \\\"approval_commands\\\": APPROVAL_COMMANDS,\\n 68| }\\n 69| if preview_path is not None:\\n 70| package[\\\"preview_path\\\"] = str(preview_path.resolve())\\n 71| return package\\n 72|\\n 73|\\n 74|def format_review_package(package: dict[str, Any]) -> str:\\n 75| \\\"\\\"\\\"Format a Telegram-safe review message for one candidate.\\\"\\\"\\\"\\n 76| preview_line = \\\"\\\"\\n 77| if package.get(\\\"preview_path\\\"):\\n 78| preview_line = f\\\"\\\\nMEDIA:{package['preview_path']}\\\\n\\\"\\n 79|\\n 80| commands = \\\"\\\\n\\\".join(f\\\"- `{command}`\\\" for command in package[\\\"approval_commands\\\"])\\n 81| visual_types = \\\", \\\".join(item.replace(\\\"_\\\", \\\" \\\") for item in package[\\\"visual_types\\\"])\\n 82| platforms = _format_platforms(package[\\\"platforms\\\"])\\n 83|\\n 84| return f\\\"\\\"\\\"## AutoShortsBot Review — {package['id']}\\n 85|{preview_line}\\n 86|**Titel:** {package['title']}\\n 87|**Pillar:** `{package['pillar']}`\\n 88|**Zielplattformen:** {platforms}\\n 89|**Dauer:** {package['duration_seconds']}s\\n 90|**Quality Score:** {package['quality_score']}/10\\n 91|\\n 92|**Hook:** {package['hook']}\\n 93|\\n 94|**Caption:** {package['caption']}\\n 95|**CTA:** {package['cta']}\\n 96|\\n 97|**Render-Check:** {package['visual_scene_count']} visual scenes, {package['caption_beat_count']} caption beats; types: {visual_types}.\\n 98|**Risk Notes:** {package['risk_notes']}\\n 99|\\n 100|**Freigabe-Befehle:**\\n 101|{commands}\\n 102|\\\"\\\"\\\".strip() + \\\"\\\\n\\\"\\n 103|\\n 104|\\n 105|def write_review_packages(\\n 106| batch: dict[str, Any],\\n 107| manifest_dir: Path,\\n 108| preview_dir: Path,\\n 109| output_dir: Path,\\n 110|) -> list[Path]:\\n 111| \\\"\\\"\\\"Write one Telegram review package Markdown file per render manifest.\\\"\\\"\\\"\\n 112| output_dir.mkdir(parents=True, exist_ok=True)\\n 113| ideas = _idea_index(batch)\\n 114| paths: list[Path] = []\\n 115|\\n 116| for manifest_path in sorted(manifest_dir.glob(\\\"*.json\\\")):\\n 117| manifest = json.loads(manifest_path.read_text(encoding=\\\"utf-8\\\"))\\n 118| video_id = manifest[\\\"video\\\"][\\\"id\\\"]\\n 119| if video_id not in ideas:\\n 120| raise KeyError(f\\\"No idea found for manifest video id: {video_id}\\\")\\n 121| preview_path = preview_dir / f\\\"{manifest_path.stem}.mp4\\\"\\n 122| package = build_review_package(ideas[video_id], manifest, preview_path)\\n 123| output_path = output_dir / f\\\"{manifest_path.stem}.md\\\"\\n 124| output_path.write_text(format_review_package(package), encoding=\\\"utf-8\\\")\\n 125| paths.append(output_path)\\n 126|\\n 127| return paths\\n 128|\", \"total_lines\": 127, \"file_size\": 4363, \"truncated\": false, \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_it2SsAwFXbn5fLBrVz2sJSfj" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "call_Keioy9T0T1iRlfcOyTJRfPHy", "call_id": "call_Keioy9T0T1iRlfcOyTJRfPHy", "response_item_id": "fc_0653a96d40a8cbd5016a1539eeb6d08191b3341e058965b376", "type": "function", "function": { "name": "search_files", "arguments": "{\"target\":\"files\",\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/data\",\"pattern\":\"*.json\",\"limit\":100}" } } ] }, { "role": "tool", "name": "search_files", "content": "{\"total_count\": 35, \"files\": [\"/home/agent/jarvis_runtime/AutoShortsBot/data/clip_reviews/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.json\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/i2v_run_reports/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.json\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/keyframe_generation_reports/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.json\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/keyframe_requests/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.json\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/i2v_clip_jobs/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.json\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/i2v_prompt_plans/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.json\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/comfyui_native_wan22_rabbit_i2v_crop_5s_workflow.json\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/comfyui_native_wan22_rabbit_i2v_5s_workflow.json\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/comfyui_native_wan22_house_jump_5s_workflow.json\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/comfyui_wan22_scene01_bright_416x736_workflow.json\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/comfyui_wan22_scene01_416x736_tiled_workflow.json\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/comfyui_wan22_scene01_416x736_t5legacy_workflow.json\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/comfyui_wan22_scene01_416x736_workflow.json\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/comfyui_scene01_gpu_480x832_workflow.json\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/comfyui_scene01_gpu_preview_workflow.json\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/comfyui_scene01_probe_workflow.json\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/comfyui_wan_micro_smoke_workflow.json\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/comfyui_wan_smoke_workflow.json\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/imported_clip_assembly_plans/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.json\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/free_ai_video_handoffs/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.json\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/local_motion_renders/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.json\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/free_production_jobs/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.json\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/asset_plans/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.json\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/render_manifests/mechanism_pilots/hidden-money-systems-warum-ein-billiges-auto-teuer-sein-kann.json\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/retention_studio/mechanism_explainers.json\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/retention_studio/pilot_ideas.json\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/retention_studio/strategy.json\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/asset_plans/testbatch_002_top3/attention-002-the-algorithm-does-not-need-you-happy.json\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/asset_plans/testbatch_002_top3/ai-005-the-4-box-prompt-for-mental-overload.json\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/asset_plans/testbatch_002_top3/ai-004-stop-asking-ai-to-think-for-you.json\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/render_manifests/testbatch_002_top3/attention-002-the-algorithm-does-not-need-you-happy.json\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/render_manifests/testbatch_002_top3/ai-005-the-4-box-prompt-for-mental-overload.json\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/render_manifests/testbatch_002_top3/ai-004-stop-asking-ai-to-think-for-you.json\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/drafts/testbatch_002.json\", \"/home/agent/jarvis_runtime/AutoShortsBot/data/drafts/testbatch_001.json\"]}", "tool_call_id": "call_Keioy9T0T1iRlfcOyTJRfPHy" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "call_8TuRTdkGe2vv1QxOT3pidttW", "call_id": "call_8TuRTdkGe2vv1QxOT3pidttW", "response_item_id": "fc_0653a96d40a8cbd5016a1539f1542881919bd3d4d2d9fda3ff", "type": "function", "function": { "name": "read_file", "arguments": "{\"limit\":220,\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/data/drafts/testbatch_002.json\"}" } } ] }, { "role": "tool", "name": "read_file", "content": "{\"content\": \" 1|{\\n 2| \\\"name\\\": \\\"testbatch_002_retention_probe_no_faith\\\",\\n 3| \\\"objective\\\": \\\"Test high-retention Life Optimization, AI Life Systems, and Attention Design ideas while pausing religious/FaithTok themes.\\\",\\n 4| \\\"approval_mode\\\": \\\"telegram_required_before_posting\\\",\\n 5| \\\"research_basis\\\": \\\"docs/retention_research.md\\\",\\n 6| \\\"ideas\\\": [\\n 7| {\\n 8| \\\"id\\\": \\\"life-004\\\",\\n 9| \\\"pillar\\\": \\\"life_optimization\\\",\\n 10| \\\"title\\\": \\\"You do not need more discipline\\\",\\n 11| \\\"platform_target\\\": [\\\"youtube_shorts\\\", \\\"tiktok\\\", \\\"instagram_reels\\\"],\\n 12| \\\"duration_seconds\\\": 38,\\n 13| \\\"hook\\\": \\\"You do not need more discipline. You need a smaller first step.\\\",\\n 14| \\\"script_outline\\\": \\\"Challenge the discipline myth, show the two-minute starter, give one concrete example, close the loop: action creates clarity, not the other way around.\\\",\\n 15| \\\"visual_concept\\\": \\\"Pattern interrupt: messy desk becomes one tiny next action with timer and captions.\\\",\\n 16| \\\"caption\\\": \\\"Stop worshipping discipline. Shrink the first step.\\\",\\n 17| \\\"cta\\\": \\\"Comment START if you want the template.\\\",\\n 18| \\\"quality_score\\\": 10,\\n 19| \\\"risk_notes\\\": \\\"No health claims; practical productivity framing.\\\"\\n 20| },\\n 21| {\\n 22| \\\"id\\\": \\\"life-005\\\",\\n 23| \\\"pillar\\\": \\\"life_optimization\\\",\\n 24| \\\"title\\\": \\\"Your to-do list is an anxiety museum\\\",\\n 25| \\\"platform_target\\\": [\\\"youtube_shorts\\\", \\\"tiktok\\\", \\\"instagram_reels\\\"],\\n 26| \\\"duration_seconds\\\": 42,\\n 27| \\\"hook\\\": \\\"Your to-do list might not be a plan. It might be an anxiety museum.\\\",\\n 28| \\\"script_outline\\\": \\\"Turn one overwhelming list into three buckets: do today, schedule later, delete. The payoff is one next action, not a prettier list.\\\",\\n 29| \\\"visual_concept\\\": \\\"Before/after: chaotic paper list split into three labelled cards, fast cuts, large captions.\\\",\\n 30| \\\"caption\\\": \\\"A list is not a plan until it chooses what you will ignore.\\\",\\n 31| \\\"cta\\\": \\\"Which task belongs in delete?\\\",\\n 32| \\\"quality_score\\\": 9,\\n 33| \\\"risk_notes\\\": \\\"Avoid clinical anxiety language beyond metaphor.\\\"\\n 34| },\\n 35| {\\n 36| \\\"id\\\": \\\"life-006\\\",\\n 37| \\\"pillar\\\": \\\"life_optimization\\\",\\n 38| \\\"title\\\": \\\"The calendar exposes the lie\\\",\\n 39| \\\"platform_target\\\": [\\\"youtube_shorts\\\", \\\"tiktok\\\", \\\"instagram_reels\\\"],\\n 40| \\\"duration_seconds\\\": 33,\\n 41| \\\"hook\\\": \\\"Your values are not in your notes app. They are in your calendar.\\\",\\n 42| \\\"script_outline\\\": \\\"Show the gap between stated priorities and scheduled time. Pick one value, block 20 minutes this week, and protect it like a meeting.\\\",\\n 43| \\\"visual_concept\\\": \\\"Calendar screen recording, one red empty week, one protected green block; crisp captions.\\\",\\n 44| \\\"caption\\\": \\\"If it matters, it eventually needs a time block.\\\",\\n 45| \\\"cta\\\": \\\"What value needs a calendar block this week?\\\",\\n 46| \\\"quality_score\\\": 9,\\n 47| \\\"risk_notes\\\": \\\"No personal calendar data shown.\\\"\\n 48| },\\n 49| {\\n 50| \\\"id\\\": \\\"ai-004\\\",\\n 51| \\\"pillar\\\": \\\"ai_life_systems\\\",\\n 52| \\\"title\\\": \\\"Stop asking AI to think for you\\\",\\n 53| \\\"platform_target\\\": [\\\"youtube_shorts\\\", \\\"tiktok\\\", \\\"instagram_reels\\\"],\\n 54| \\\"duration_seconds\\\": 41,\\n 55| \\\"hook\\\": \\\"Stop asking AI to think for you. Ask it to argue with you.\\\",\\n 56| \\\"script_outline\\\": \\\"Use AI as a challenger: list assumptions, find weak spots, suggest alternatives, then you decide. Better thinking, not outsourced thinking.\\\",\\n 57| \\\"visual_concept\\\": \\\"Screen recording with prompt cards: assumptions, weak spots, alternatives, decision; human checkmark at end.\\\",\\n 58| \\\"caption\\\": \\\"AI is more useful as a critic than as a guru.\\\",\\n 59| \\\"cta\\\": \\\"Comment CRITIC if you want the prompt.\\\",\\n 60| \\\"quality_score\\\": 10,\\n 61| \\\"risk_notes\\\": \\\"Keep human decision authority explicit.\\\"\\n 62| },\\n 63| {\\n 64| \\\"id\\\": \\\"ai-005\\\",\\n 65| \\\"pillar\\\": \\\"ai_life_systems\\\",\\n 66| \\\"title\\\": \\\"The 4-box prompt for mental overload\\\",\\n 67| \\\"platform_target\\\": [\\\"youtube_shorts\\\", \\\"tiktok\\\", \\\"instagram_reels\\\"],\\n 68| \\\"duration_seconds\\\": 61,\\n 69| \\\"hook\\\": \\\"If your brain has 47 tabs open, paste the mess into this 4-box prompt.\\\",\\n 70| \\\"script_outline\\\": \\\"Brain dump to AI, ask for four boxes: tasks, worries, decisions, later. Then ask for one next action under two minutes. Show exact prompt structure.\\\",\\n 71| \\\"visual_concept\\\": \\\"Before/after screen recording: chaotic paragraph becomes four clean cards; timer starts at the end.\\\",\\n 72| \\\"caption\\\": \\\"Do not ask AI for motivation. Ask it for structure.\\\",\\n 73| \\\"cta\\\": \\\"Comment RESET and I will turn this into a template.\\\",\\n 74| \\\"quality_score\\\": 10,\\n 75| \\\"risk_notes\\\": \\\"Not therapy; frame as organisation aid.\\\"\\n 76| },\\n 77| {\\n 78| \\\"id\\\": \\\"ai-006\\\",\\n 79| \\\"pillar\\\": \\\"ai_life_systems\\\",\\n 80| \\\"title\\\": \\\"A real AI assistant needs an approval gate\\\",\\n 81| \\\"platform_target\\\": [\\\"youtube_shorts\\\", \\\"tiktok\\\", \\\"instagram_reels\\\"],\\n 82| \\\"duration_seconds\\\": 75,\\n 83| \\\"hook\\\": \\\"The most important part of an AI assistant is not the model. It is the approval gate.\\\",\\n 84| \\\"script_outline\\\": \\\"Explain memory, tools, draft actions, and human approval before side effects. Show why powerful automation without confirmation becomes risk, not leverage.\\\",\\n 85| \\\"visual_concept\\\": \\\"Animated system diagram: request, memory, tools, draft, approval gate, action; red stop line before posting/sending.\\\",\\n 86| \\\"caption\\\": \\\"Automation without approval is not intelligence. It is liability.\\\",\\n 87| \\\"cta\\\": \\\"Should I build this as a series?\\\",\\n 88| \\\"quality_score\\\": 10,\\n 89| \\\"risk_notes\\\": \\\"No secrets or real private data in visuals.\\\"\\n 90| },\\n 91| {\\n 92| \\\"id\\\": \\\"attention-001\\\",\\n 93| \\\"pillar\\\": \\\"attention_design\\\",\\n 94| \\\"title\\\": \\\"Your phone wins before breakfast\\\",\\n 95| \\\"platform_target\\\": [\\\"youtube_shorts\\\", \\\"tiktok\\\", \\\"instagram_reels\\\"],\\n 96| \\\"duration_seconds\\\": 36,\\n 97| \\\"hook\\\": \\\"If you touch your phone before your feet touch the floor, your day already has an owner.\\\",\\n 98| \\\"script_outline\\\": \\\"Show morning phone reflex, then replace it with a 60-second no-input rule: stand up, water, light, one sentence plan.\\\",\\n 99| \\\"visual_concept\\\": \\\"Close-up phone alarm, thumb reaches, freeze-frame, hard cut to water/light/notebook; bold captions.\\\",\\n 100| \\\"caption\\\": \\\"Your first input shapes your first hour.\\\",\\n 101| \\\"cta\\\": \\\"Try the no-input minute tomorrow.\\\",\\n 102| \\\"quality_score\\\": 10,\\n 103| \\\"risk_notes\\\": \\\"Avoid shame; frame as experiment.\\\"\\n 104| },\\n 105| {\\n 106| \\\"id\\\": \\\"attention-002\\\",\\n 107| \\\"pillar\\\": \\\"attention_design\\\",\\n 108| \\\"title\\\": \\\"The algorithm does not need you happy\\\",\\n 109| \\\"platform_target\\\": [\\\"youtube_shorts\\\", \\\"tiktok\\\", \\\"instagram_reels\\\"],\\n 110| \\\"duration_seconds\\\": 67,\\n 111| \\\"hook\\\": \\\"The algorithm does not need you happy. It needs you to stay.\\\",\\n 112| \\\"script_outline\\\": \\\"Explain attention incentives without conspiracy. Then give three design moves: greyscale, remove default apps, set a leaving cue before opening feeds.\\\",\\n 113| \\\"visual_concept\\\": \\\"Fast phone UI montage, greyscale switch, app removal, timer/leaving cue; not static slideshow.\\\",\\n 114| \\\"caption\\\": \\\"Design beats willpower when the feed is engineered better than your intentions.\\\",\\n 115| \\\"cta\\\": \\\"Which app gets moved off your home screen today?\\\",\\n 116| \\\"quality_score\\\": 10,\\n 117| \\\"risk_notes\\\": \\\"Do not imply specific hidden manipulation; speak generally about incentives.\\\"\\n 118| },\\n 119| {\\n 120| \\\"id\\\": \\\"attention-003\\\",\\n 121| \\\"pillar\\\": \\\"attention_design\\\",\\n 122| \\\"title\\\": \\\"The 5-second rule for opening any app\\\",\\n 123| \\\"platform_target\\\": [\\\"youtube_shorts\\\", \\\"tiktok\\\", \\\"instagram_reels\\\"],\\n 124| \\\"duration_seconds\\\": 31,\\n 125| \\\"hook\\\": \\\"Before you open any app, give it a job description.\\\",\\n 126| \\\"script_outline\\\": \\\"Pause for five seconds, say why you are opening it, set exit condition, then open. If there is no job, do not hire the app.\\\",\\n 127| \\\"visual_concept\\\": \\\"Hand hovers over app, text overlay 'What is the job?', five-second countdown, exit condition card.\\\",\\n 128| \\\"caption\\\": \\\"Apps become tools again when they need a job description.\\\",\\n 129| \\\"cta\\\": \\\"Comment the app that steals the most time.\\\",\\n 130| \\\"quality_score\\\": 9,\\n 131| \\\"risk_notes\\\": \\\"No platform attack; behaviour-design framing.\\\"\\n 132| }\\n 133| ]\\n 134|}\\n 135|\", \"total_lines\": 134, \"file_size\": 7846, \"truncated\": false, \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_8TuRTdkGe2vv1QxOT3pidttW" }, { "role": "assistant", "content": "", "reasoning": "**Preparing next post**\n\nI’m figuring out the next steps for the user's project. I see there are existing top three previews to consider. The user mentioned the next video should be part of the post. I’m wondering if I should choose from drafts that haven’t been rendered yet. Perhaps I can create a new candidate based on the previous finalized video, maybe #7? I need to search for the current post using the session search.", "finish_reason": "tool_calls", "reasoning_content": "**Preparing next post**\n\nI’m figuring out the next steps for the user's project. I see there are existing top three previews to consider. The user mentioned the next video should be part of the post. I’m wondering if I should choose from drafts that haven’t been rendered yet. Perhaps I can create a new candidate based on the previous finalized video, maybe #7? I need to search for the current post using the session search.", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqFTn3PgdHhdJZf_5HmEunmOfv23-vVEHsluz2iS6fTZ_UaGBbHQpoOM_xAIWsIKXlLtv_VH76IGib3p37mC7HCS2mSpZ7Hhcl1sWlMG0KIjEavIlrMBVYVAlnIsemAYFT57d9G25GmadhpfbbESgGbG9whcotBY3hHw7N6J-bvVFGlbOTI5MfGTj8So_OHagDgqNQITEfgX-wpozEaw0IxGgraqtAsy92K9KvAA3SBb09p2U6fQaBYU83-bV56HhluApX3hICU4Ba_Xn4e0DCe8giglxigMiqcm5INobFWQCoO1TzpdYxH8uv91sC7raWZ7Mje8NVEq-om_DrB3S6OpAJYzgBSpbHQSur4AvyPx9wCBAW0PZabmGUvyJqo_OfcrHQL8uRkHhJUXeb5lb-P8ITtpXoM2rD4o1P9U74St7fBIlpVdiiUEl01Xo4GIha7_jASjv39gbz6LMyf9X1rvk61_MXQcPGOkMmWYzIm5cjjMlvaEpOP9gFTXNymmfLxqB-3A-8BdxXKMPMr5ohOsB4MkdooJLb-ngwwbFOPKld1CetW46LDtUS--KNWDL70Zxgz-kCZ0dFq2aFHXkK5q2fa7BJi4hUFSGvzb_u71Xm86mw4H5iCtXYqRm4_yFJQ1Edb5W6Gvf7bHXGKA32S8-_3zlgSn-CYxlkIEZqqe5qwpCMp1E9XcB7dZQmP4IGciom1aSPAsyeJLaow_0G9DSDXZ1LruEUIx2onyE8IOwzaGjPzQvDKzwGU5rFcf4zYBGXJcnuSYFryyUrcqAnZfQMBR-vNeF9DuQsAIyHiWvzuyYQwdprG6ZOg79hfBI7peqmk5HufPLIhTocjt0UVZso5zdQmwbBrqh_V4HrqvpQ7UvdlvDTY_s30KdS1aqYm48GS1AB1SQ79ssB5PCfzFKlG0_aOvEBac9tS7r6kAPaKDuFUnFgOpSKnnaRfrf_E8DwGXbXF-ZCS9Q8jBSlhJ6mDARFLRu_YrPxt7voQDR-1EifhUN6TutuoLpnMVABmucC1Kz5bn1FqFrokH8X6-H-1Qi8xw2PQ5WBNJ0LHM_FoaGr9sEcmQ0XTd13iZtPzKhFQ5dzGge1PErGqLZoBvxZqHF_yi7KymnOQskV-2GZjmd_X59_ND-A_KEmPUTwS5HSEp_WB0MCzxjhZEMuSxUQPQMgqLxr8SN0K5oc5Bz-1BnvSmaFfeg-4F0XcLSbICf_uCnBvSY3l4cOu9iDyb6TEnrqUA1WddXJHRjnCMaruCFRTHNlOc3wTtVq8mb4i3rw8g7JWqWZy4Hca01EF8rwaQxrwAPnqmB2uqFdeg53tu7mtd-wdS7gxOQdXgtpjj0kBKfk84phxTOhCKk3UbHx2_Yv0z4sCgKq9RaDahYTM3E=", "id": "rs_0653a96d40a8cbd5016a1539f460c88191b6c658859c6f032f", "summary": [ { "type": "summary_text", "text": "**Preparing next post**\n\nI’m figuring out the next steps for the user's project. I see there are existing top three previews to consider. The user mentioned the next video should be part of the post. I’m wondering if I should choose from drafts that haven’t been rendered yet. Perhaps I can create a new candidate based on the previous finalized video, maybe #7? I need to search for the current post using the session search." } ] } ], "tool_calls": [ { "id": "call_rpszm66ct5pUGzsD07pAd2qh", "call_id": "call_rpszm66ct5pUGzsD07pAd2qh", "response_item_id": "fc_0653a96d40a8cbd5016a1539f778b48191ad87cd51bc06d12b", "type": "function", "function": { "name": "session_search", "arguments": "{\"limit\":3,\"query\":\"nächste video OR nächsten Post OR Freigabe OR final render OR TrueTraceShorts OR AutoShortsBot\"}" } } ] }, { "role": "tool", "name": "session_search", "content": "{\"success\": true, \"query\": \"nächste video OR nächsten Post OR Freigabe OR final render OR TrueTraceShorts OR AutoShortsBot\", \"results\": [{\"session_id\": \"20260525_081301_675d674d\", \"when\": \"May 25, 2026 at 08:13 AM\", \"source\": \"telegram\", \"model\": \"gpt-5.5\", \"summary\": \"[Raw preview — summarization unavailable]\\n...[earlier conversation truncated]...\\n\\nrue, \\\"name\\\": \\\"social-media-shorts-automation\\\", \\\"description\\\": \\\"Design, generate, review, publish, and optimize automated short-form social videos across YouTube Shorts, TikTok, Instagram Reels, and related channels.\\\", \\\"tags\\\": [\\\"shorts\\\", \\\"tiktok\\\", \\\"youtube-shorts\\\", \\\"reels\\\", \\\"creator-monetization\\\", \\\"content-automation\\\", \\\"social-media\\\"], \\\"related_skills\\\": [], \\\"content\\\": \\\"---\\\\nname: social-media-shorts-automation\\\\ndescription: Design, generate, review, publish\\n…[truncated]\"}, {\"session_id\": \"20260524_091219_d252c13f\", \"when\": \"May 24, 2026 at 09:12 AM\", \"source\": \"telegram\", \"model\": \"gpt-5.5\", \"summary\": \"[Raw preview — summarization unavailable]\\n...[earlier conversation truncated]...\\n\\ntoshortsbot/AutoShortsBot/README.md\\\\n+++ b//home/agent/jarvis_runtime/autoshortsbot/AutoShortsBot/README.md\\\\n@@ -8,6 +8,7 @@\\\\n \\\\n Implemented foundation:\\\\n \\\\n+- `autoshorts.config.pillars` — content pillar registry, default AI/life-systems positioning, and pillar fit validation.\\\\n - `autoshorts.ideas.candidate` — structured video candidate model and validation.\\\\n - `autoshorts.ideas.testbatch` — testbatch validation and renderable-candidate filtering.\\\\n - \\n…[truncated]\"}, {\"session_id\": \"20260523_074449_3d9cee59\", \"when\": \"May 23, 2026 at 07:44 AM\", \"source\": \"telegram\", \"model\": \"gpt-5.5\", \"summary\": \"[Raw preview — summarization unavailable]\\n...[earlier conversation truncated]...\\n\\n56|\\\\n 157|\\\\n 158|def write_shot_plans(finals: list[dict[str, Any]], output_dir: Path) -> list[Path]:\\\\n 159| \\\\\\\"\\\\\\\"\\\\\\\"Write one Markdown shot plan per finalized script.\\\\\\\"\\\\\\\"\\\\\\\"\\\\n 160| output_dir.mkdir(parents=True, exist_ok=True)\\\\n 161| paths: list[Path] = []\\\\n 162| for final in finals:\\\\n 163| plan = build_shot_plan(final)\\\\n 164| path = output_dir / f\\\\\\\"{plan['id']}-{_slug(plan['title'])}.md\\\\\\\"\\\\n 165| path.write_t\\n…[truncated]\"}], \"count\": 3, \"sessions_searched\": 3}", "tool_call_id": "call_rpszm66ct5pUGzsD07pAd2qh" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqFTp4QJyaCVIfI1WnMMXsSLUirvzJ9zVIcnVEbfprhtoLZoAH93aPw9JFb5iik2mIpvH1vIpefnod3hzKZtwDzZ12QgovRvBGX1O-MntEMW2kNRFqe8LGOIjTWJYbG7eWF4BpZrNLG3uYoqSJ-yf9nGNFAAqpyQ5sIphNsccC6u_FC9kWzK8eKIL96jcCWoelX4NdKSB4DkJO2_gPR_hD0xX0stdwexxr5PajjEZ02eUYYPHcIrtIjGTtt3n2xqPYdioWWAJDltRC83K3ofZpcNgMW-mt3pufht_-UN8Sd3YY6HmdYX9wib4f66R-vYBlDnb3TxBMyK6fdGNQ4gXsKEQaVDGK7YzOccp8sZveGGvsIS3FnS4lo_HCyA1TLL799fpBAX8qE3iJ2LN5YPTBpbG7_C7CO1n52zbERnSb-aOd6pfT0rEQ4Zm9K8xMzfISdaj-3B3KxfzuLCJcbcAD1W5mC2i8gF_JViuDtrNiDXPn-yqigxSmcrazUEDNSnnnRWtAspuBxQyph9dHdfm7lSnzB1SJzmp46MbkasstVtY4AN0LCmFrYfHyvnHtusxvV45DihqFOE3ay7ZvA7W5dMNScd-Tuq40bTpwRb_lEGsy1-ec8XMYpsPNsHX5oIrIL1YBdzaQhIlwjAeVIsELriczs74WJgpB3OvwjDWIZT78-BKn-4QKDSiab5ztzd3o1piqm_3I69s70s9b1icNSDIbxKmXyuL-1_i1eKtp217MJJZ6BMdx_IwLIHEtPxupT3QwJy3S_d3CPndMu6K1r3Zpj2u3xBT7nlZpTjeiPTTF09PbAHaNmMZ0dzFK3cMECFWjKvk6wpUGbQbcqWXOnPOwK8swdXWcqaI5Ix4ucpsAnBtkZnKcgFK2OoFotZJl7Zocv4pRRKiyE-aznO3j6GaqqH-QSGDQoNteRCz281WP0-OZRp7Fwjmk3_RFyxjIlb9wuB_E6Ov5f0Rdd5kiwH5j9DWZqQt59HdteeM_OaN_IWQ=", "id": "rs_0653a96d40a8cbd5016a153a77d80c8191941b19951fccb89c", "summary": [] } ], "tool_calls": [ { "id": "call_1cXMOZJb4KPgnnrOfbCHdO5v", "call_id": "call_1cXMOZJb4KPgnnrOfbCHdO5v", "response_item_id": "fc_0653a96d40a8cbd5016a153a78e9f0819196e724364b2ea366", "type": "function", "function": { "name": "read_file", "arguments": "{\"limit\":200,\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/README.md\"}" } } ] }, { "role": "tool", "name": "read_file", "content": "{\"content\": \" 1|# AutoShortsBot\\n 2|\\n 3|AutoShortsBot is a growth-oriented pipeline for creating social-media shorts with a human approval loop.\\n 4|\\n 5|## Current phase\\n 6|\\n 7|Phase 1 prepares a semi-automatic testbatch workflow:\\n 8|\\n 9|1. Generate/curate scripts for three content pillars.\\n 10|2. Score each idea before rendering.\\n 11|3. Render previews locally.\\n 12|4. Send drafts/previews to Telegram for approval.\\n 13|5. Post manually or semi-automatically only after approval.\\n 14|6. Capture analytics and feed results back into the next batch.\\n 15|\\n 16|## Content pillars\\n 17|\\n 18|- `life_optimization` — practical micro-systems for overloaded adults.\\n 19|- `ai_life_systems` — AI as a servant for better life systems.\\n 20|- `faithtok` — Christian encouragement for overloaded modern life.\\n 21|\\n 22|## First testbatch\\n 23|\\n 24|The first batch contains 9 ideas:\\n 25|\\n 26|- 3 Life Optimization\\n 27|- 3 AI Life Systems\\n 28|- 3 FaithTok\\n 29|\\n 30|Most are short growth candidates; selected items are 60+ seconds for TikTok Creator Rewards testing.\\n 31|\\n 32|## Secrets\\n 33|\\n 34|Do not commit secrets, `.env` files, OAuth tokens, generated credentials, or produced media files. Runtime secrets stay outside the repository.\\n 35|\", \"total_lines\": 34, \"file_size\": 1087, \"truncated\": false, \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_1cXMOZJb4KPgnnrOfbCHdO5v" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "call_urKhmMNh9AtC0RyCrN3jjnWj", "call_id": "call_urKhmMNh9AtC0RyCrN3jjnWj", "response_item_id": "fc_0653a96d40a8cbd5016a153a7b8f3c81919dba439c1d68ac69", "type": "function", "function": { "name": "read_file", "arguments": "{\"limit\":260,\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/local_motion_renderer.py\"}" } } ] }, { "role": "tool", "name": "read_file", "content": "{\"content\": \" 1|\\\"\\\"\\\"Local/free motion renderer for AutoShortsBot production jobs.\\n 2|\\n 3|The renderer intentionally uses only local Pillow/FFmpeg drawing and compositing.\\n 4|It does not call paid video-generation providers. The output is a deterministic\\n 5|motion prototype: procedural backgrounds, car/mechanism layers, kinetic captions,\\n 6|and beat-synced movement based on the free production job specs.\\n 7|\\\"\\\"\\\"\\n 8|\\n 9|from __future__ import annotations\\n 10|\\n 11|import json\\n 12|import math\\n 13|import shutil\\n 14|import subprocess\\n 15|import tempfile\\n 16|import textwrap\\n 17|from pathlib import Path\\n 18|from typing import Any\\n 19|\\n 20|from PIL import Image, ImageDraw, ImageFont\\n 21|\\n 22|PAID_VIDEO_PROVIDERS = {\\\"kling\\\", \\\"hailuo\\\", \\\"runway\\\", \\\"veo\\\", \\\"pika\\\", \\\"luma\\\"}\\n 23|LOCAL_RENDER_PROVIDERS = {\\\"local_renderer\\\", \\\"local_ffmpeg\\\"}\\n 24|\\n 25|\\n 26|PALETTE_BY_MODE = {\\n 27| \\\"cinematic_ai_video\\\": ((7, 12, 25), (30, 64, 175), (248, 113, 113)),\\n 28| \\\"mechanism_animation\\\": ((2, 6, 23), (15, 118, 110), (251, 191, 36)),\\n 29| \\\"kinetic_text_overlay\\\": ((15, 23, 42), (88, 28, 135), (34, 211, 238)),\\n 30| \\\"screen_recording_simulation\\\": ((8, 13, 28), (14, 116, 144), (96, 165, 250)),\\n 31| \\\"animated_card\\\": ((17, 24, 39), (120, 53, 15), (251, 146, 60)),\\n 32|}\\n 33|\\n 34|\\n 35|def _font(size: int, bold: bool = False) -> ImageFont.FreeTypeFont | ImageFont.ImageFont:\\n 36| candidates = [\\n 37| \\\"/usr/share/fonts/truetype/dejavu/DejaVuSans-Bold.ttf\\\" if bold else \\\"/usr/share/fonts/truetype/dejavu/DejaVuSans.ttf\\\",\\n 38| \\\"/usr/share/fonts/truetype/liberation2/LiberationSans-Bold.ttf\\\" if bold else \\\"/usr/share/fonts/truetype/liberation2/LiberationSans-Regular.ttf\\\",\\n 39| ]\\n 40| for path in candidates:\\n 41| if Path(path).exists():\\n 42| return ImageFont.truetype(path, size=size)\\n 43| return ImageFont.load_default()\\n 44|\\n 45|\\n 46|def _wrap(text: str, width_chars: int) -> str:\\n 47| return \\\"\\\\n\\\".join(textwrap.wrap(\\\" \\\".join(text.split()), width=max(8, width_chars)))\\n 48|\\n 49|\\n 50|def _gradient(width: int, height: int, start: tuple[int, int, int], end: tuple[int, int, int]) -> Image.Image:\\n 51| image = Image.new(\\\"RGB\\\", (width, height), start)\\n 52| draw = ImageDraw.Draw(image)\\n 53| for y in range(height):\\n 54| ratio = y / max(1, height - 1)\\n 55| color = tuple(round(start[i] * (1 - ratio) + end[i] * ratio) for i in range(3))\\n 56| draw.line([(0, y), (width, y)], fill=color)\\n 57| return image\\n 58|\\n 59|\\n 60|def _ease(progress: float) -> float:\\n 61| progress = min(1.0, max(0.0, progress))\\n 62| return 0.5 - math.cos(progress * math.pi) / 2\\n 63|\\n 64|\\n 65|def _caption_layout(text: str, width: int, height: int, pulse: float) -> dict[str, Any]:\\n 66| \\\"\\\"\\\"Calculate a caption layout that stays inside the vertical safe area.\\\"\\\"\\\"\\n 67| text_max_width = round(width * 0.78)\\n 68| max_box_width = round(width * 0.88)\\n 69| max_block_height = round(height * 0.21)\\n 70| pad = max(8, round(width * 0.035))\\n 71| preferred_size = max(18, round(width * (0.06 + 0.012 * pulse)))\\n 72| min_size = max(10, round(width * 0.038))\\n 73|\\n 74| scratch = Image.new(\\\"RGB\\\", (width, height))\\n 75| draw = ImageDraw.Draw(scratch)\\n 76| for size in range(preferred_size, min_size - 1, -1):\\n 77| font = _font(size, bold=True)\\n 78| # Width-based wrapping alone is too optimistic for German compound words;\\n 79| # verify actual pixel width and shrink/re-wrap until it fits.\\n 80| wrap_chars = max(8, round(text_max_width / (size * 0.5)))\\n 81| wrapped = _wrap(text, wrap_chars)\\n 82| raw_lines = wrapped.splitlines()\\n 83| if len(raw_lines) > 4:\\n 84| raw_lines = raw_lines[:3] + [\\\" \\\".join(raw_lines[3:])]\\n 85| spacing = max(4, round(size * 0.20))\\n 86| lines = []\\n 87| too_wide = False\\n 88| for line in raw_lines:\\n 89| box = draw.textbbox((0, 0), line, font=font)\\n 90| line_width = box[2] - box[0]\\n 91| line_height = box[3] - box[1]\\n 92| if line_width > text_max_width:\\n 93| too_wide = True\\n 94| break\\n 95| lines.append({\\\"text\\\": line, \\\"width\\\": line_width, \\\"height\\\": line_height})\\n 96| block_height = sum(line[\\\"height\\\"] for line in lines) + spacing * max(0, len(lines) - 1)\\n 97| if lines and not too_wide and block_height <= max_block_height:\\n 98| y = height - round(height * 0.205) - block_height // 2\\n 99| box = [\\n 100| round((width - max_box_width) / 2),\\n 101| y - pad,\\n 102| round((width + max_box_width) / 2),\\n 103| y + block_height + pad,\\n 104| ]\\n 105| return {\\n 106| \\\"font\\\": font,\\n 107| \\\"font_size\\\": size,\\n 108| \\\"lines\\\": lines,\\n 109| \\\"spacing\\\": spacing,\\n 110| \\\"box\\\": box,\\n 111| \\\"text_max_width\\\": text_max_width,\\n 112| \\\"start_y\\\": y,\\n 113| }\\n 114|\\n 115| font = _font(min_size, bold=True)\\n 116| line = text\\n 117| suffix = \\\"…\\\" if len(text) > 1 else \\\"\\\"\\n 118| while line:\\n 119| candidate = line.rstrip() + suffix\\n 120| box = draw.textbbox((0, 0), candidate, font=font)\\n 121| if box[2] - box[0] <= text_max_width:\\n 122| break\\n 123| line = line[:-1]\\n 124| candidate = (line.rstrip() + suffix) if line else \\\"…\\\"\\n 125| box = draw.textbbox((0, 0), candidate, font=font)\\n 126| return {\\n 127| \\\"font\\\": font,\\n 128| \\\"font_size\\\": min_size,\\n 129| \\\"lines\\\": [{\\\"text\\\": candidate, \\\"width\\\": box[2] - box[0], \\\"height\\\": box[3] - box[1]}],\\n 130| \\\"spacing\\\": max(4, round(min_size * 0.20)),\\n 131| \\\"box\\\": [round(width * 0.06), round(height * 0.72), round(width * 0.94), round(height * 0.84)],\\n 132| \\\"text_max_width\\\": text_max_width,\\n 133| \\\"start_y\\\": round(height * 0.76),\\n 134| }\\n 135|\\n 136|\\n 137|def _draw_caption(draw: ImageDraw.ImageDraw, text: str, width: int, height: int, accent: tuple[int, int, int], pulse: float) -> None:\\n 138| layout = _caption_layout(text, width, height, pulse)\\n 139| draw.rounded_rectangle(\\n 140| layout[\\\"box\\\"],\\n 141| radius=round(width * 0.035),\\n 142| fill=(255, 255, 255),\\n 143| outline=accent,\\n 144| width=max(2, width // 180),\\n 145| )\\n 146| y = layout[\\\"start_y\\\"]\\n 147| for line in layout[\\\"lines\\\"]:\\n 148| x = (width - line[\\\"width\\\"]) // 2\\n 149| draw.text((x, y), line[\\\"text\\\"], font=layout[\\\"font\\\"], fill=(15, 23, 42))\\n 150| y += line[\\\"height\\\"] + layout[\\\"spacing\\\"]\\n 151|\\n 152|\\n 153|def _draw_car(draw: ImageDraw.ImageDraw, width: int, height: int, progress: float, accent: tuple[int, int, int]) -> None:\\n 154| cx = width // 2\\n 155| cy = round(height * 0.43)\\n 156| scale = width / 540\\n 157| bob = round(math.sin(progress * math.tau * 2) * 6 * scale)\\n 158| car_w = round(width * 0.58)\\n 159| car_h = round(height * 0.12)\\n 160| left = cx - car_w // 2\\n 161| right = cx + car_w // 2\\n 162| top = cy - car_h // 2 + bob\\n 163| bottom = cy + car_h // 2 + bob\\n 164| draw.rounded_rectangle([left, top, right, bottom], radius=round(24 * scale), fill=(226, 232, 240), outline=accent, width=max(2, round(4 * scale)))\\n 165| 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 166| draw.rounded_rectangle(cabin, radius=round(14 * scale), fill=(148, 163, 184), outline=(226, 232, 240), width=max(1, round(2 * scale)))\\n 167| wheel_r = round(width * 0.045)\\n 168| for wx in (left + round(car_w * 0.22), right - round(car_w * 0.22)):\\n 169| 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 170| angle = progress * math.tau * 3\\n 171| 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 172| # x-ray scan line and warning pulse\\n 173| scan_x = left + round(car_w * _ease(progress))\\n 174| draw.line([(scan_x, top - round(60 * scale)), (scan_x, bottom + round(70 * scale))], fill=accent, width=max(2, round(5 * scale)))\\n 175| pulse_r = round((30 + 38 * _ease((progress * 2) % 1)) * scale)\\n 176| 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 177|\\n 178|\\n 179|def _draw_mechanism_layers(draw: ImageDraw.ImageDraw, width: int, height: int, progress: float, accent: tuple[int, int, int], twist: bool) -> None:\\n 180| labels = [\\\"Preis\\\", \\\"Reparatur\\\", \\\"Standtage\\\", \\\"Marge\\\", \\\"Liquidität\\\"]\\n 181| visible = max(1, min(len(labels), math.ceil(progress * len(labels))))\\n 182| top = round(height * 0.24)\\n 183| layer_h = round(height * 0.072)\\n 184| gap = round(height * 0.022)\\n 185| for index, label in enumerate(labels[:visible]):\\n 186| p = _ease(min(1.0, max(0.0, progress * len(labels) - index)))\\n 187| x_offset = round((1 - p) * width * 0.45)\\n 188| y = top + index * (layer_h + gap)\\n 189| color = accent if (twist and index == 0) else (226, 232, 240)\\n 190| fill = (30, 41, 59) if not (twist and index == 0) else (127, 29, 29)\\n 191| draw.rounded_rectangle(\\n 192| [round(width * 0.12) + x_offset, y, round(width * 0.88) + x_offset, y + layer_h],\\n 193| radius=round(width * 0.026),\\n 194| fill=fill,\\n 195| outline=color,\\n 196| width=max(2, width // 180),\\n 197| )\\n 198| f = _font(max(14, round(width * 0.046)), bold=True)\\n 199| draw.text((round(width * 0.17) + x_offset, y + round(layer_h * 0.22)), label, font=f, fill=(248, 250, 252))\\n 200| meter_w = round(width * 0.24 * p)\\n 201| draw.rounded_rectangle(\\n 202| [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 203| radius=round(width * 0.015),\\n 204| fill=color,\\n 205| )\\n 206| car_y = round(height * 0.72)\\n 207| 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 208| _draw_car(draw, width, height, progress, accent)\\n 209|\\n 210|\\n 211|def _draw_kinetic_words(draw: ImageDraw.ImageDraw, width: int, height: int, text: str, progress: float, accent: tuple[int, int, int]) -> None:\\n 212| words = text.split()\\n 213| current = words[: max(1, min(len(words), math.ceil(progress * max(1, len(words)))))]\\n 214| main = \\\" \\\".join(current[-5:])\\n 215| size = max(28, round(width * (0.105 + 0.025 * math.sin(progress * math.tau * 3))))\\n 216| font = _font(size, bold=True)\\n 217| wrapped = _wrap(main, max(8, round(width / (size * 0.48))))\\n 218| lines = wrapped.splitlines()[:3]\\n 219| total_h = 0\\n 220| boxes = []\\n 221| for line in lines:\\n 222| box = draw.textbbox((0, 0), line, font=font)\\n 223| boxes.append(box)\\n 224| total_h += box[3] - box[1]\\n 225| y = height // 2 - total_h // 2\\n 226| for line, box in zip(lines, boxes):\\n 227| line_w = box[2] - box[0]\\n 228| x = (width - line_w) // 2 + round(math.sin(progress * math.tau * 2) * width * 0.025)\\n 229| draw.text((x + 3, y + 3), line, font=font, fill=(15, 23, 42))\\n 230| draw.text((x, y), line, font=font, fill=(248, 250, 252))\\n 231| y += box[3] - box[1] + round(size * 0.18)\\n 232| glow = round(width * (0.12 + 0.08 * _ease((progress * 3) % 1)))\\n 233| 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 234|\\n 235|\\n 236|def _render_frame(job: dict[str, Any], width: int, height: int, frame_index: int, total_frames: int) -> Image.Image:\\n 237| mode = job[\\\"asset_mode\\\"]\\n 238| start, end, accent = PALETTE_BY_MODE.get(mode, PALETTE_BY_MODE[\\\"cinematic_ai_video\\\"])\\n 239| progress = frame_index / max(1, total_frames - 1)\\n 240| # simulated handheld push-in: brighten and offset gradient slightly over time\\n 241| image = _gradient(width, height, start, end)\\n 242| draw = ImageDraw.Draw(image)\\n 243|\\n 244| for i in range(9):\\n 245| y = round((i / 8) * height + math.sin(progress * math.tau + i) * height * 0.014)\\n 246| 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 247|\\n 248| if mode == \\\"mechanism_animation\\\":\\n 249| _draw_mechanism_layers(draw, width, height, progress, accent, twist=\\\"teuerste Fehler\\\" in job.get(\\\"overlay_text\\\", \\\"\\\"))\\n 250| elif mode == \\\"kinetic_text_overlay\\\":\\n 251| _draw_kinetic_words(draw, width, height, job[\\\"overlay_text\\\"], progress, accent)\\n 252| else:\\n 253| _draw_car(draw, width, height, progress, accent)\\n 254| # local parallax objects / risk tags\\n 255| tag_font = _font(max(12, round(width * 0.038)), bold=True)\\n 256| for idx, label in enumerate([\\\"-4'000?\\\", \\\"Risiko\\\", \\\"Timing\\\"]):\\n 257| p = (progress + idx * 0.18) % 1\\n 258| x = round(width * (0.1 + 0.72 * p))\\n 259| y = round(height * (0.17 + 0.08 * idx + 0.015 * math.sin(progress * math.tau * 2 + idx)))\\n 260| 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 261|\", \"total_lines\": 368, \"file_size\": 16961, \"truncated\": true, \"hint\": \"Use offset=261 to continue reading (showing 1-260 of 368 lines)\", \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_urKhmMNh9AtC0RyCrN3jjnWj" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "call_gNK11aCPEjZAUgAnzFPMYf4g", "call_id": "call_gNK11aCPEjZAUgAnzFPMYf4g", "response_item_id": "fc_0653a96d40a8cbd5016a153a7f86748191833f7567fd3e45ca", "type": "function", "function": { "name": "read_file", "arguments": "{\"limit\":140,\"offset\":261,\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/local_motion_renderer.py\"}" } } ] }, { "role": "tool", "name": "read_file", "content": "{\"content\": \" 261| draw.text((x + round(width * 0.018), y + round(height * 0.01)), label, font=tag_font, fill=(15, 23, 42))\\n 262|\\n 263| title_font = _font(max(11, round(width * 0.031)), bold=False)\\n 264| draw.text((round(width * 0.06), round(height * 0.045)), f\\\"{job['scene_id']} · {mode.replace('_', ' ')}\\\", font=title_font, fill=(226, 232, 240))\\n 265| _draw_caption(draw, job[\\\"overlay_text\\\"], width, height, accent, _ease((progress * 4) % 1))\\n 266| return image\\n 267|\\n 268|\\n 269|def local_render_jobs(production_jobs: dict[str, Any]) -> list[dict[str, Any]]:\\n 270| \\\"\\\"\\\"Return only executable local render jobs, excluding text-only LLM refinement.\\\"\\\"\\\"\\n 271| providers = {job[\\\"provider\\\"] for job in production_jobs[\\\"jobs\\\"]}\\n 272| forbidden = providers & PAID_VIDEO_PROVIDERS\\n 273| if forbidden:\\n 274| raise ValueError(f\\\"Paid video providers are forbidden in local render: {sorted(forbidden)}\\\")\\n 275| return [job for job in production_jobs[\\\"jobs\\\"] if job[\\\"provider\\\"] in LOCAL_RENDER_PROVIDERS]\\n 276|\\n 277|\\n 278|def _write_frames(render_jobs: list[dict[str, Any]], frame_dir: Path, width: int, height: int, fps: int) -> tuple[int, int]:\\n 279| frame_dir.mkdir(parents=True, exist_ok=True)\\n 280| frame_number = 0\\n 281| motion_events = 0\\n 282| for job in render_jobs:\\n 283| scene_frames = max(1, round(float(job[\\\"duration_seconds\\\"]) * fps))\\n 284| motion_events += max(2, math.ceil(float(job[\\\"duration_seconds\\\"]) / 2))\\n 285| for local_index in range(scene_frames):\\n 286| image = _render_frame(job, width, height, local_index, scene_frames)\\n 287| image.save(frame_dir / f\\\"frame_{frame_number:06d}.png\\\")\\n 288| frame_number += 1\\n 289| return frame_number, motion_events\\n 290|\\n 291|\\n 292|def render_local_motion_video(\\n 293| production_jobs: dict[str, Any],\\n 294| output_path: Path,\\n 295| width: int = 540,\\n 296| height: int = 960,\\n 297| fps: int = 24,\\n 298|) -> dict[str, Any]:\\n 299| \\\"\\\"\\\"Render local/free production jobs into a vertical MP4 and metadata JSON.\\\"\\\"\\\"\\n 300| ffmpeg = shutil.which(\\\"ffmpeg\\\")\\n 301| if not ffmpeg:\\n 302| raise RuntimeError(\\\"ffmpeg is required to render local motion MP4 files\\\")\\n 303|\\n 304| render_jobs = local_render_jobs(production_jobs)\\n 305| output_path.parent.mkdir(parents=True, exist_ok=True)\\n 306| total_duration: float = sum((float(job[\\\"duration_seconds\\\"]) for job in render_jobs), 0.0)\\n 307|\\n 308| with tempfile.TemporaryDirectory(prefix=\\\"autoshorts_local_motion_\\\") as tmp:\\n 309| frame_dir = Path(tmp) / \\\"frames\\\"\\n 310| frame_count, motion_event_count = _write_frames(render_jobs, frame_dir, width, height, fps)\\n 311| command = [\\n 312| ffmpeg,\\n 313| \\\"-y\\\",\\n 314| \\\"-framerate\\\",\\n 315| str(fps),\\n 316| \\\"-i\\\",\\n 317| str(frame_dir / \\\"frame_%06d.png\\\"),\\n 318| \\\"-vf\\\",\\n 319| \\\"format=yuv420p\\\",\\n 320| \\\"-movflags\\\",\\n 321| \\\"+faststart\\\",\\n 322| str(output_path),\\n 323| ]\\n 324| completed = subprocess.run(command, check=True, capture_output=True, text=True)\\n 325|\\n 326| metadata_path = output_path.with_suffix(\\\".json\\\")\\n 327| metadata = {\\n 328| \\\"schema_version\\\": \\\"local_motion_render.v1\\\",\\n 329| \\\"video_id\\\": production_jobs[\\\"video\\\"][\\\"id\\\"],\\n 330| \\\"source_schema_version\\\": production_jobs[\\\"schema_version\\\"],\\n 331| \\\"output_path\\\": str(output_path),\\n 332| \\\"width\\\": width,\\n 333| \\\"height\\\": height,\\n 334| \\\"fps\\\": fps,\\n 335| \\\"frame_count\\\": frame_count,\\n 336| \\\"scene_count\\\": len(render_jobs),\\n 337| \\\"rendered_duration_seconds\\\": int(total_duration) if total_duration.is_integer() else total_duration,\\n 338| \\\"motion_event_count\\\": motion_event_count,\\n 339| \\\"paid_credit_providers_used\\\": [],\\n 340| \\\"budget_policy\\\": production_jobs[\\\"budget_policy\\\"],\\n 341| \\\"scenes\\\": [\\n 342| {\\n 343| \\\"scene_id\\\": job[\\\"scene_id\\\"],\\n 344| \\\"asset_mode\\\": job[\\\"asset_mode\\\"],\\n 345| \\\"provider\\\": job[\\\"provider\\\"],\\n 346| \\\"execution_mode\\\": job[\\\"execution_mode\\\"],\\n 347| \\\"duration_seconds\\\": job[\\\"duration_seconds\\\"],\\n 348| \\\"motion_directive\\\": job[\\\"motion_directive\\\"],\\n 349| }\\n 350| for job in render_jobs\\n 351| ],\\n 352| \\\"ffmpeg_stderr_tail\\\": completed.stderr[-2000:],\\n 353| }\\n 354| metadata_path.write_text(json.dumps(metadata, indent=2, ensure_ascii=False) + \\\"\\\\n\\\", encoding=\\\"utf-8\\\")\\n 355|\\n 356| return {\\n 357| \\\"output_path\\\": output_path,\\n 358| \\\"metadata_path\\\": metadata_path,\\n 359| \\\"video_id\\\": production_jobs[\\\"video\\\"][\\\"id\\\"],\\n 360| \\\"width\\\": width,\\n 361| \\\"height\\\": height,\\n 362| \\\"fps\\\": fps,\\n 363| \\\"frame_count\\\": frame_count,\\n 364| \\\"scene_count\\\": len(render_jobs),\\n 365| \\\"rendered_duration_seconds\\\": metadata[\\\"rendered_duration_seconds\\\"],\\n 366| \\\"motion_event_count\\\": motion_event_count,\\n 367| \\\"paid_credit_providers_used\\\": [],\\n 368| }\\n 369|\", \"total_lines\": 368, \"file_size\": 16961, \"truncated\": false, \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_gNK11aCPEjZAUgAnzFPMYf4g" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqFTqDM47e_genVXCMbsI7lzbkjZr_EoCHhdYGAetrECfUYoZ36KYNUVLXlTqYi2c0UrXeXyL69n9kEHAPnAjE7t4wifOITEXg89DrF_LiDm0YDdLT1oCJ7mAU3sQiyikDBd2S4bBFYOYmO7SgmusX7JFIm_CIYG4y3HTvnmN3NJhmml-RaiFDvzIOZyFtyPyT_ZxibKfgi6D90YnLAtSAE7MR1R6pan-XBGHLaRgUXcad7qOp5hxL0UjWi45eQkY3797RDqpeAgq-fHk7qe9Uodk47Dz0ZFXyLMm7jbODioWMpP7_RM5_p9WTGNMpphJ2AL8ZIruCwyYWiF_tx3pnAUHFWLxF9Uh7U00RrKGNxEDaXK7jRdFG2grjcsv4ddL0aiFJ8I4f-kDojrAra9sh9MfSzqKj3blm_VpskfndGmsWj0Z4GOFUnlY1CcQ99yrAOw9hIV7cPgTRvu-a-UMuYEDNmrjgr2p8PrsevNdZd9Peppnxh7vyDZBR6ara8EgMVEfeRhDJQYhv3BTbPt38nAX7G16u9_TgDgnJa55825QZFdlxKq8feU1gyRxeeGGIg9ZBkjFh-MffpZpLjKtJonJusQV4NeVqQS9aB1wVqYBh5QKmfVV8fyPz5TVfVfJOTD5yNjdBLFbjKIuoCLZDZFMTsuErJ0sqgnl7fCu2n-5yCs8aS6lDY0jGU4n5aHeULd4rJq3xMqthoGIaWr8MQTWVzPhDMzpXXlHNU4h5Y_vbenhbl-j6xiMz6YH4RV1v1mt0Y_bXtb3NmeMjjuk4ec-ggJ0mryIjIMjcMYMr9Q1Rv2FZeLKWxLK4dEFOhp8zP_u5pcVRu1Pot--FsL4wtCIQzmqgiIx55vSWBxfKG2hx86444M343nTlKMCo8jvO4yZAIIrXy5p1Hv7wQkrYa_eRv_WMtozn6_9jN48doOWnWYiz0xiUGeNqA1GkEmG7fxpX_dZKi2ZvNB8FYliLWoniaxpJP5yH8LzXnKGe0dLLyMEVKucCHGI_3mt1Qmzu6TEpgjjDb6tvCXppJPrR9F3R8L2g4Ovlonrf5x7V-4W_uOJtmATBhnR67ziir_b4JzCIo8m0NELWtKNSJHwgpz4_jw==", "id": "rs_0653a96d40a8cbd5016a153a82c1f481919b11e28bc041ad6f", "summary": [] } ], "tool_calls": [ { "id": "call_hitumVeT6PcA9RC0IK6GCD30", "call_id": "call_hitumVeT6PcA9RC0IK6GCD30", "response_item_id": "fc_0653a96d40a8cbd5016a153a83d3f881919ca01ef4a90acd25", "type": "function", "function": { "name": "read_file", "arguments": "{\"limit\":260,\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/preview_renderer.py\"}" } } ] }, { "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|\", \"total_lines\": 279, \"file_size\": 10275, \"truncated\": true, \"hint\": \"Use offset=261 to continue reading (showing 1-260 of 279 lines)\", \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_hitumVeT6PcA9RC0IK6GCD30" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "call_l11yBjSQBNUpIIJoTJc8XXbj", "call_id": "call_l11yBjSQBNUpIIJoTJc8XXbj", "response_item_id": "fc_0653a96d40a8cbd5016a153a86ed448191bfe2660166ce0b28", "type": "function", "function": { "name": "read_file", "arguments": "{\"limit\":80,\"offset\":239,\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/preview_renderer.py\"}" } } ] }, { "role": "tool", "name": "read_file", "content": "{\"content\": \" 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_l11yBjSQBNUpIIJoTJc8XXbj" }, { "role": "assistant", "content": "", "reasoning": "**Preparing content for next post**\n\nI think I should consider using the existing render manifest to help streamline things. The user asked for the next post, so I might need to package everything for \"attention-002.\" I'll have to check if there's a TTS (text-to-speech) pipeline we can use for the final video. It could be useful to enhance the content! I'll look into the options for that and see how to proceed.", "finish_reason": "tool_calls", "reasoning_content": "**Preparing content for next post**\n\nI think I should consider using the existing render manifest to help streamline things. The user asked for the next post, so I might need to package everything for \"attention-002.\" I'll have to check if there's a TTS (text-to-speech) pipeline we can use for the final video. It could be useful to enhance the content! I'll look into the options for that and see how to proceed.", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqFTqNpiIHLtGDb0rZCTcoD2ncjAsjDFZbvYSLmZzbf1rJGwMueX0GAfU2RooZRYbfDciHR1GEaZPyEZEWlR4ngy9eWFtw_zsZ0YylJDlSOY5TijUIZnj-lAY1sKNWsLIS5KSJuU10v0cCNeTKLArVu7GShPdT1q4dMKljpn244awEpQzFHx1ic8F1VSk126ZHFoeEArP_vayCIdJzjPFf-8PPzdqQ9oLmdhXGOYC_7KeAnOzBBuk400lpZydv0gopSEdT5l5wbK6ICouTy7fwBFAwJ8fy6p8mz7hdqKHTqcaLRBPkElHiTdDHshY0lUrODMb0Pb1vlYiZwQGWo-cAMGnRiek8gU4NjRGNdVvaymeuRfiz7nHWvXEKgLh25ylF6Fh_E5YUZG0dDIfOFPSlVWNXUD1fuGrFmmmf7r5MTCfNpJL0_veI9E6azkiJ8eFrWRQCKDHLtDlSKvU0K_aXTvi3GFUkG_tkSXC5PZ4buWv5OdjSDmThvqBkapdEnTtyKoUBOD3FPotnXIbsqwy7aw2TIiZrzMaFYNMBL5_tyBAqFxwnVdBPtD_eRaTg_MPEjSHyOdOF1AI9m4TBSZmpudh1enZH3rJEwT8mm3NCMMn0hds3z_hrU8PRVIcf2DuchWJU7VJg2QIivyOieMcShQk5k_AbHOLx2vV64kKZ_VUi-VUa2kiVO8zw51lmT9MQDvwyHh3vgOaiw-NQyqqgBjfo7BSAMGuVRHDt515lrffvF81IMExrxDpjzaFpK4C8jYA3CvOMd-mGQWm_18cPAKyC0ysJ6lSa-1m8MHsvHY-QpozBTEV_EdarfcmPeWfMlBiKnSM4XKv1jmb0aut6N79QMk_TUG7xVcgEMA5GNEiZn6ff9HzfEltiDwyH2MBdP6xV9jILqJYt7lGJOPEtLW1C3gI1I5Dq3vmdALkgpx3fj8CgkY4smYw16k7wiMixu9q3gBL7s8LQPheTxwVQNeaQr1vHIcyvRW6na2SpJO0q6bJJrLR6XKN3VPWVTaXkV9uW6ePIy1EfQKen-vEUk0qt55MgP3OUrpSXjO93C7rDl1EetLgYQI2PH9i9RtL39wbVxGAmKv-X7RNgii2iCje7cgnFcVzX0a16babWGvJzDcAlFy6l2TqS_XP-kCnP8no_g3HFZpC1tXQOzohyx_1ODzGBg3Tg2SwMOvAk3r6w9M9o9AtFBGfHq2KIYOWY9ECLOAtzI3aJMhAE5P7ICi_Bv4oqNga2WGtTmGuJyTDsXE8=", "id": "rs_0653a96d40a8cbd5016a153a8a2a8881918e2e98efdcc9f839", "summary": [ { "type": "summary_text", "text": "**Preparing content for next post**\n\nI think I should consider using the existing render manifest to help streamline things. The user asked for the next post, so I might need to package everything for \"attention-002.\" I'll have to check if there's a TTS (text-to-speech) pipeline we can use for the final video. It could be useful to enhance the content! I'll look into the options for that and see how to proceed." } ] } ], "tool_calls": [ { "id": "call_fBCWasHOxuQzIfP73s4GXJHF", "call_id": "call_fBCWasHOxuQzIfP73s4GXJHF", "response_item_id": "fc_0653a96d40a8cbd5016a153a8d21c881918eeacdbcf5e82233", "type": "function", "function": { "name": "search_files", "arguments": "{\"limit\":100,\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot\",\"pattern\":\"tts|edge|voiceover|subtitle|caption|ass|srt\",\"target\":\"content\",\"file_glob\":\"*.py\"}" } } ] }, { "role": "tool", "name": "search_files", "content": "{\"total_count\": 0}", "tool_call_id": "call_fBCWasHOxuQzIfP73s4GXJHF" }, { "role": "assistant", "content": "", "reasoning": "**Planning video content**\n\nI'm considering using the TTS tool to generate an MP3 voiceover, but I'm not sure about including active-word subtitles since timing could be tricky. Instead, I might create phrase captions based on the script. For the user's video, it should feature relevant content. I think the next post could focus on \"Stop asking AI to think for you,\" as it’s short and looks good. I wonder if I need TTS for the video audio or if I can stick with a default voice.\n**Configuring TTS settings**\n\nI'm thinking about the TTS tool for the final English video, but I noticed it might default to de-DE, which isn’t ideal. I'm wondering if the user configured it this way or if there's only a voice option available. I could use the local edge-tts command with an English voice instead. I should check if I need additional skills for edge-tts. It's important to ensure the TTS configuration aligns with the video's language needs!", "finish_reason": "tool_calls", "reasoning_content": "**Planning video content**\n\nI'm considering using the TTS tool to generate an MP3 voiceover, but I'm not sure about including active-word subtitles since timing could be tricky. Instead, I might create phrase captions based on the script. For the user's video, it should feature relevant content. I think the next post could focus on \"Stop asking AI to think for you,\" as it’s short and looks good. I wonder if I need TTS for the video audio or if I can stick with a default voice.\n**Configuring TTS settings**\n\nI'm thinking about the TTS tool for the final English video, but I noticed it might default to de-DE, which isn’t ideal. I'm wondering if the user configured it this way or if there's only a voice option available. I could use the local edge-tts command with an English voice instead. I should check if I need additional skills for edge-tts. It's important to ensure the TTS configuration aligns with the video's language needs!", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqFTqdKp2AwXVRZyj3M8b2pcL0zF8HrWzXghHA7G0eol2gwDLHAJHr-RN503Od9nRHxF2HtBxJRn6hcCTXCOo8jh1ym7CtHBFrrSVZXTpAexf0W9OK9HINcfF_bzKQpbdmc69T4g1hKNy-OTCjUAJ3QZ9TPXYcmGUY0NI863rkTYHuyjkj9XvgvW9FwQvPQA38Hr5hwfvjVFaRnp7iC7-GyacnCrKpCXIQEnDKFuscBu0tUSPgaTF3ZIMtyM7fo13kYWoprJqo4Xs9Pvvg9MTAe2gZqIStuX1f9M7qr9y4L1oeoawl_bH4-X9Dggb9e32FOG6BUHQcF5a0fhdAmlVazD_DYwEI_oVgj-elCTm57pnZ3YiSzONem9PyY79nCfE94Hhws0dxDeOvrDoriQJUgYznbUuM2_tesJlCR3FOE2nSsbYWP8n2T_AosERCo1NeF9TWZsszTOn3C2JDYrfFd09Dfm88fZadSLqNy1l2cV6oZ4mr7u_gZXVNMZ5J2idiIZrfD0EYdIqCmT4Dl9ktjebMmUVTISDNi28oY705eB2nCZvV1aQmgkwuLMBveKTl79csarhyIcjRA7_sUe48LwDlRh3IK7A5wtMKV3R_WXjYby_hw0dwLCiT2FF2H2xmzwRDVPOgBPU3pTSomP5B6p26h--c_XIlf4DLdZXKHtYa-oHgFcoHUfUiXXUcTu1ynyEGwhG0zy_is2bnm3hqundEDAhsDWQQAI7fq_H3KEjRU4fwopxN9B962FZ1Wc_1LRX3j3ueQwJfu2HcAqzskVOgGHGBM7D6MJjAOgK-TJnUirXToePOeSvQjb_Jjz0cVL1tFRBnDqx-ZvgT2nw-F9UGcU8PaZrFvY8_NRs-aSvLkeGf9FzDaomCxER9szpydO0QiQo4yZuaOR3QsULbr8_Oy8evn44LWk0sHSgP7PeCw41aftSz4viyqA36cV8H0yrpA3Cm0gWPNDJeThRE-_o0GS43VpcVG4p7_TmwzaDh6-6_ghN_Bp4oStaE7XdS7dj6tinItDmQSvxXZG-_KFykJ-sf5Hx4e5qnV-Zvp--bv4kCFW9X-qtPGGCY5aBngl_C4Sz3eZ_uCYOIcOlMLKMx8FuzN2Y_lLxvmh6ds-C0dVFHRrWjw4X1mqrgiTkxmSeH6XwpMb8Z2RScZ_rhW7I9EDh57SJZ-rzLXj_PiPI_iAG2UzQ4GWfaUp3rqs8mfnkOOWZNd3yhncNdnNEcJ4ajaECNH8zK_aSCeZ3_9B46NShj6PTKVS6dpWvV2PWGQf1pEyl10fL0ZAg7P71__6716pvHgirzgyhTOCw-RkjivRJ9y9PDLNMGWVCkVt86o6L___auwMHqJSxPNBSpdGAkCpzX0CJv-pvL5GwRuUufgbYJVN1zBrzCkRprfPsLXEKglbyDq2KnA1j3TNsZImJ7_gdV1SxK34mXprxCl4E5ZmcHDXioSoSq9Q4MTQ_O4PGjoRzCwEJaeS5c66RIJXz4TCUmK7y-p694b_t1NsKo1foSWgKtHGnr8fcrwUNya-6uOJeYLh5fWPDhUvaFqRCFOb-ypQ-VV3-yLna_A4va1W5pkvva3G-XvW8Ab3G9IG-VQIl8b4lVM_uQyoeMv2z6kWyGRz1OPN8akrjTP84YvFebac4gz_m5w6Vn8Zm-tC4cfk0TcSupK8Sq5kEzj5ImVKaC8ZNiYjnsGgkaVqjU3yBu88mSdgbci-eiZqQGWWCfkomX4POFWDwgnrlFTdkPXrkGuoGvyceC1GivS5K3wM1rEFGTvpWEWFSKquG2KYZqdLtU3qw5aiYeFMvOuvK7jJc_n6uOS7ePsbq_a6cne9gHRXKN7c4qY_-digEOWvYTyZNBiTGZqTbQnfM59gh20poTAGV2ZsDnVlADcMVfiupy_5SfuQKHBJT5GiPjBIU_52Hy3YYPSshby8w4CVMI2XmeQjAR0edaUJFQC0tdEx07sGiOTSk3Q5yO6XUHnhcA_enE9_exHwY64fzZQU-NduSPaJcSUEAKiMc91_0m1qpxpsBzE-lEQFvOAVVFgClfDQ3S6ZV8anZJsGNxaWTaAWiHuRDHAxqANA-1cOl5pZl0CSdMJI7EO9Smdh_8sKLKlnV69WuMCEUWBQIqXyuSThVb4ilohdgFBnp-4cf5sO6x6aj10__Gri0Rb20n4bAyslOPdvdl_d__HbwwMkC60pMcYQlFzANHDs2gVeDnjV5kKGAfO7oSn-T9POYIXxQthn3VOH_yGA3qriYk6prmh6mLdzDOM_WCMA-l1WJqnWK4teqlgWAf7lMJLcIqiwcGqGgq-OyEL2moWcdNOs-hL9EuO_HaGczTG5jLwnFaC1j_FkogysAJNGpB9WfZdTnjZ5pFHuiOtlpnWkcGoYWRaaKCLd0Q1sy13lj6in67jApG5Y7FseeIN3mzzATNE9hLlUoqE59qmNHnH_Aiy8WL7h2tpmG-ehCd4ZZmnq_6IicrwVqTZarJUDgOPynvWbRjvLMxtw1Efo0pM_uUysbhVW-dZrACubP7oHgUt_BGc4cR-6n5jqkGeTQ2PXB8uY8kTPkv890Ov9qIFrUAxaHXyrzSMFFz1Gp-g-5yOvlqjAGMt7D3UX9PHE9ZCbNDhrxyd8nS2s2rwy9Ks3yq56GXDMGdla_XP86BEqfP-mA9XwTqUXrPk8z1gQxIAkKQSEJ-_ap6tPx9cXWQ-ZdLruBlrivGpbpg_vu60KGtuEZ5-md6UVUBYfkTFrDwYcH6aUyFhXwQ1eHyf9tqnDnRNW_uEjWqOzMw-yCCCgNFHGNlvWfRNFhmsAnUgifJACnk8QZHQ1fbessbXQnkbDDCx_7JH-E7UHsz5UFkMSyqoK_zBVJXlrDxtU1D131ZnXZQtNm7m1Z8xQ_oiq24wy3CZ1cdcRvAzG2E5yTp-_Ym8ND_iOKKrXC7ucjf1YwSUphRVc21LGFy9-vM4AS6wF6XG8MPEhEJakhgZ0FcNPi4qEnfbPhEnoVwgOU0pnJCL2rUzNA-Jd0PSHVs1nYxrQIfRR2Kbm7hMqlKCvZW-IO2gIYwH3skcMznaoo_KhxpFqCBmoN-jz8dEtuk1aHBcNPCNE0mADslfEOr-RWkduwma2JcmgmDCN2Yr6lINXw0XK8QI2iAEaurnCRZXxTLfROasj6d2HSkEw6RjgG43NJFjoIARqM0pDThSfZ9uTDeWAda4G1KfA4ByU13DQsfDLgbItvqp8NTFM4_i_TdC8Aoj_stOOT5UWJREPvA3PaqGgnZM8weFAmtTAK0PZN70zbViuDGz9pMrtLwdMyl03Ajc35AKRJEcy5dZzRHZ7WKEqpYPJEoJwQZF7id5Urk2No5VfEPOkwhmcVXqVsKQyz1dEEJQONYcOWcY99GAj73wMtAYKDSnmASsNWI3t9X2BCRsqdR6pJtGaWOTsRnrxsusG97xNWlF-_C30XrF9poo6yxb5zYnJ4btjzMCKsORWlH5pNu7cpWK66HY_uHIVXK6tMOo8c_B7I2JKWKiK2tL5dryAPJmo_m4UJxOq4SxhSkL5sPpCfLacGqFkJLygkNi20-wkCFPeqogjR2lf0A2Jc-IbbD352aHt2jf8QBcoIEDxwwDXp0Pwot9BVq7LJVK-QBc8pS_Is7ZVLhaUbaxHq_cxH4R5hqCU9r-TeZBrzw0Rmz1wXu_IJKLSY9Xy-du1Jh-5O6vg6yIfyKpcmaYzXJVhB2DxTqGwHBZOf0w3nwOwun6gGFitMkIGPGCVaXtSyfaUBhG5yW1ZqClkiD64pv1sWem6eJ969T6CjpiIPaM9vmHD77HgMeUrFBQMq6MhY1Ajn3uQNVnJdQGIVzXnPWnEtOGrwnWL7UCMdMn3cM-d-cReXbKa-SWMwWiyWhiGIKp90=", "id": "rs_0653a96d40a8cbd5016a153a8f9c448191a3d3c0113e19a1d6", "summary": [ { "type": "summary_text", "text": "**Planning video content**\n\nI'm considering using the TTS tool to generate an MP3 voiceover, but I'm not sure about including active-word subtitles since timing could be tricky. Instead, I might create phrase captions based on the script. For the user's video, it should feature relevant content. I think the next post could focus on \"Stop asking AI to think for you,\" as it’s short and looks good. I wonder if I need TTS for the video audio or if I can stick with a default voice." }, { "type": "summary_text", "text": "**Configuring TTS settings**\n\nI'm thinking about the TTS tool for the final English video, but I noticed it might default to de-DE, which isn’t ideal. I'm wondering if the user configured it this way or if there's only a voice option available. I could use the local edge-tts command with an English voice instead. I should check if I need additional skills for edge-tts. It's important to ensure the TTS configuration aligns with the video's language needs!" } ] } ], "tool_calls": [ { "id": "call_Wz6CdjtgugaF2Ho3mnpJNhuH", "call_id": "call_Wz6CdjtgugaF2Ho3mnpJNhuH", "response_item_id": "fc_0653a96d40a8cbd5016a153a9d80dc8191913eb492ea888dd3", "type": "function", "function": { "name": "skill_view", "arguments": "{\"name\":\"edge-tts\"}" } } ] }, { "role": "tool", "name": "skill_view", "content": "{\"success\": true, \"name\": \"edge-tts\", \"description\": \"Text-to-speech using Microsoft Edge TTS. Supports multiple voices including German male/female options. Used for voice messages and audio output.\", \"tags\": [\"TTS\", \"Voice\", \"Audio\", \"Edge\"], \"related_skills\": [\"sherpa-onnx-tts\"], \"content\": \"---\\nname: edge-tts\\ndescription: \\\"Text-to-speech using Microsoft Edge TTS. Supports multiple voices including German male/female options. Used for voice messages and audio output.\\\"\\nversion: 1.0.0\\nauthor: Hermes Agent\\nlicense: MIT\\nmetadata:\\n hermes:\\n tags: [TTS, Voice, Audio, Edge]\\n related_skills: [sherpa-onnx-tts]\\n---\\n\\n# Edge TTS\\n\\nText-to-speech using Microsoft Edge TTS (`edge-tts` Python package). No API key required — uses Microsoft's free Edge browser TTS engine.\\n\\n## When to Use\\n\\nUse this skill when:\\n- You need to convert text to speech for voice messages\\n- You want to test or compare different TTS voices\\n- The user asks for a voice message or speech output\\n- TTS configuration needs to be changed\\n\\n## Prerequisites\\n\\n```bash\\npip install edge-tts\\n```\\n\\n## User Voice Preference\\n\\n**Default voice: `de-DE-KillianNeural`** (German male, natural, clear)\\nSet in `~/.hermes/config.yaml` → `tts.edge.voice`.\\n\\n## German Voices Available\\n\\n| Voice | Gender | Style | Description |\\n|-------|--------|-------|-------------|\\n| `de-DE-KillianNeural` | Male | Natural | Clear, natural, slightly youthful (DEFAULT) |\\n| `de-DE-ConradNeural` | Male | Friendly | Warm, positive, slightly melodic |\\n| `de-DE-FlorianMultilingualNeural` | Male | Professional | Clear, neutral, professional |\\n| `de-DE-AmalaNeural` | Female | Friendly | Positive, warm |\\n| `de-DE-KatjaNeural` | Female | Friendly | Positive, clear |\\n| `de-DE-SeraphinaMultilingualNeural` | Female | General | Natural, clear |\\n\\n## Usage\\n\\n### Basic Synthesis\\n\\n```bash\\nedge-tts --voice de-DE-ConradNeural --text \\\"Guten Tag, Sir.\\\" --write-media output.mp3\\n```\\n\\n### Testing a Voice\\n\\n```bash\\nedge-tts --voice de-DE-FlorianMultilingualNeural --text \\\"Testnachricht\\\" --write-media /tmp/test.mp3\\n```\\n\\n### Listing Available Voices\\n\\n```bash\\npython3 -m edge_tts --list-voices | grep \\\"de-DE\\\"\\n```\\n\\n### Configuring in Hermes\\n\\nUpdate `~/.hermes/config.yaml`:\\n\\n```yaml\\ntts:\\n provider: edge\\n edge:\\n voice: de-DE-ConradNeural\\n```\\n\\n## Pitfalls\\n\\n- **Voice compatibility**: Not all voices work with all text. German text requires a German voice (`de-DE-*`).\\n- **File format**: Edge TTS outputs MP3 by default. Convert to OGG for Telegram voice messages if needed: `ffmpeg -i input.mp3 -codec:a libopus -b:a 128k output.ogg`\\n- **Gateway restart**: After changing the TTS voice in config, restart the gateway for changes to take effect.\\n- **Character limits**: Very long texts may produce unusually long audio. Split long messages before TTS.\\n- **Config verification**: After updating `tts.edge.voice` in config, always verify the change took effect by reading the config back. YAML writes can silently fail or be overwritten by subsequent edits. Check the TTS response field `voice_compatible: true` — if `false`, the voice may not have been applied.\\n- **Voice switching workflow**: Always test a voice with `edge-tts --voice --text \\\"Test\\\" --write-media /tmp/test.mp3` before committing to it. Multiple voices can sound similar; listening is the only reliable way to choose.\\n- **Config persistence**: Python one-liner YAML edits may not persist — always verify with a separate read-back step.\\n\\n## Shorts / AutoShorts Baseline Voice Use\\n\\nFor short-form content pipelines where the GPU is needed for ComfyUI/Wan/Qwen image or video generation, use EdgeTTS as the first baseline voice because it does not consume local GPU resources and is quick to iterate.\\n\\nFor caption-synchronised Shorts, request word-boundary metadata rather than approximating word timings across sentence SRT spans:\\n\\n```python\\ncommunicate = edge_tts.Communicate(text, voice, rate='+0%', boundary='WordBoundary')\\nasync for chunk in communicate.stream():\\n if chunk['type'] == 'audio':\\n ...\\n elif chunk['type'] == 'WordBoundary':\\n start_seconds = chunk['offset'] / 10_000_000\\n duration_seconds = chunk['duration'] / 10_000_000\\n word = chunk['text']\\n```\\n\\nUse these offsets to drive static 3–7 word caption phrases with only the active spoken word highlighted. This avoids the irritating lag/lead caused by sentence-duration approximation and supports the user's preferred Hormozi/TikTok-style subtitle feel.\\n\\nRecommended first English A/B voices for a precise, non-guru AI/workflow channel tone:\\n\\n```bash\\nedge-tts --voice en-GB-RyanNeural --text \\\"Most AI automations do not fail dramatically. They quietly rot.\\\" --write-media /tmp/ryan.mp3\\nedge-tts --voice en-US-ChristopherNeural --text \\\"Most AI automations do not fail dramatically. They quietly rot.\\\" --write-media /tmp/christopher.mp3\\n```\\n\\nFor AutoShorts-style production code, keep EdgeTTS behind an explicit adapter boundary:\\n\\n```text\\nTTSProviderPlan(edge_tts, voice)\\n→ EdgeTTSRequest(text, output_path.mp3)\\n→ edge-tts CLI call\\n→ EdgeTTSResult(side_effects=(\\\"call_edge_tts\\\", \\\"write_audio\\\"), external_calls=(\\\"edge-tts\\\",))\\n```\\n\\nThen mux/burn captions in a separate FFmpeg boundary:\\n\\n```text\\nMP4 timing preview + EdgeTTS MP3 + renderer-owned ASS subtitles\\n→ FFmpeg audio/caption review MP4\\n```\\n\\nImportant FFmpeg pitfall: do not blindly use `-shortest` when adding audio to a longer timing preview. It can silently truncate the video to the shorter voiceover duration. Preserve the planned video duration unless the feature explicitly asks to trim to audio length.\\n\\nCompare against any external/cloud TTS such as NVIDIA Magpie with the same 15–20 second script sample. Score clarity, pronunciation of AI/workflow terms, retention energy, artifacts, latency, cost, and operational reliability. Whisper is not a TTS model; use it later for transcript/alignment QA only.\\n\\n## Linked Resources\\n\\n- `references/german-voice-comparison.md` — German male voice comparison data from session 2026-05-07, with recommendations for voice selection.\\n- `references/autoshorts-edge-tts-audio-caption.md` — EdgeTTS boundary pattern for AutoShorts audio/caption review MP4s, including ffprobe duration alignment and the `-shortest` pitfall.\\n\\n## Voice Switching Workflow\\n\\n1. List available voices: `python3 -m edge_tts --list-voices | grep \\\"de-DE\\\"`\\n2. Test candidate voice: `edge-tts --voice --text \\\"Testnachricht\\\" --write-media /tmp/test.mp3`\\n3. Listen and decide\\n4. Update config: `tts.edge.voice: `\\n5. Restart gateway\\n\\n## Related Skills\\n\\n- `sherpa-onnx-tts` — Offline TTS with local German female voice (Eva). No internet required.\", \"path\": \"edge-tts/SKILL.md\", \"skill_dir\": \"/home/agent/.hermes/skills/edge-tts\", \"linked_files\": {\"references\": [\"references/german-voice-comparison.md\", \"references/autoshorts-edge-tts-audio-caption.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\": [\"TTS\", \"Voice\", \"Audio\", \"Edge\"], \"related_skills\": [\"sherpa-onnx-tts\"]}}}", "tool_call_id": "call_Wz6CdjtgugaF2Ho3mnpJNhuH" }, { "role": "assistant", "content": "", "reasoning": "**Checking installation and script creation**\n\nI need to check if edge-tts is installed to build a video using Python with edge_tts's word boundaries. I should check for the installation and write a script to generate a local package in data/post_candidates/ai-004, including an mp4 file. I wonder if any code modifications are necessary. I'll probably use a Python script with execute_code to generate the artifact, linking terminal commands and ensuring everything runs smoothly, avoiding heredoc for file creation.\n**Creating voice script and commands**\n\nI see that it suggests not to use echo/cat heredoc to create files, but running Python code in heredoc as a terminal command might still be acceptable. I think a better approach is to write the script render_next_post_ai004.py, incorporating a candidate for ai-004. The final voice script should convey a message about how to effectively use AI as a critic rather than just a thinker. \n\nAdditionally, I'll need to include edge_tts's async function for audio and word boundaries, and identify any required command packages.\n**Exploring edge_tts and rendering requirements**\n\nI could use the edge_tts library, but if it's missing, I might need to install it via pip using the terminal. For the voice, I'd like to use en-GB-RyanNeural. The project will involve rendering at 1080x1920 resolution at 30 fps with a dark gradient background, consisting of 8 scenes featuring UI cards. \n\nI'll implement word boundaries to phrase segments while highlighting active words. If this proves too complex, I might resort to phrasing captions by time instead. I need to generate frames for each segment as well!", "finish_reason": "tool_calls", "reasoning_content": "**Checking installation and script creation**\n\nI need to check if edge-tts is installed to build a video using Python with edge_tts's word boundaries. I should check for the installation and write a script to generate a local package in data/post_candidates/ai-004, including an mp4 file. I wonder if any code modifications are necessary. I'll probably use a Python script with execute_code to generate the artifact, linking terminal commands and ensuring everything runs smoothly, avoiding heredoc for file creation.\n**Creating voice script and commands**\n\nI see that it suggests not to use echo/cat heredoc to create files, but running Python code in heredoc as a terminal command might still be acceptable. I think a better approach is to write the script render_next_post_ai004.py, incorporating a candidate for ai-004. The final voice script should convey a message about how to effectively use AI as a critic rather than just a thinker. \n\nAdditionally, I'll need to include edge_tts's async function for audio and word boundaries, and identify any required command packages.\n**Exploring edge_tts and rendering requirements**\n\nI could use the edge_tts library, but if it's missing, I might need to install it via pip using the terminal. For the voice, I'd like to use en-GB-RyanNeural. The project will involve rendering at 1080x1920 resolution at 30 fps with a dark gradient background, consisting of 8 scenes featuring UI cards. \n\nI'll implement word boundaries to phrase segments while highlighting active words. If this proves too complex, I might resort to phrasing captions by time instead. I need to generate frames for each segment as well!", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqFTqvwA4T1uvQlHHnC_y3--Ol6UXl5YTC2G8UeLq_lI0mqk_hcpWSvi3pgGddm_0RQMGgHwHxhVtrtcHxBp4eBYGW-dYCZGfMl_0KEVdKgADN7oY231IuILfMuGxe-BbpxDvwE0ZNk9koGPunwz0Y_fyWdOWMj5l1ios3AKzQD4o6fDgug-GmspR8gYd2aUJwN6xyTzE0oAs44Rez6BtA7e_h6OLUGF8wr_oq4RKX_eVMCwZRCvyF8MrlmX-powHRS9drNTUf0Nlk56QMljCXUmneYzj-2HIPYFMLMj2X_wbXpfrWmcjZAlHnAsgJwH7Kolfnco5dkw_m-wm1F9vrcX8wZ62IXk2c2TzSPAE_LYgfrF0-uFiUZbsXy-h8d6z7Wzd5YrCxdchjAcbFrR3VUqykAtwsJY-w2vfQFo-r177DVgJjvURtC0g5vpz6LWxBzliGE-uP9Aki2t9lyom00uOQRi4oVU7035Ym-dZhChBiU6kqfsq5mqrf0OcnY0US32eoI4sM1_fEy2pPSg4o6JcC7noW6U1QnKLUB6p9psCT1eWgP13ep1ryXx0k9G_4WY1sXZWMX1_Zn__NRnmZ3Va68hSXF2kudvfsfrkmpGgY56yhgBjcxb3ZkgkJ9ZyEh_OtHH4BRIJldxbJfS0-iMC-l6m9lvUxnBOaBeqi6bp4UZpLFKWAqdM0hRbbP76Bt9N-02epTjaRroVWBMkhrszd7Sepqi3M1vUmNl1d3fzzzH3h9KQPEo_p6ihcgw418HFbAVyQq_FNSCQ6OMjMCXPl888PTC8DnlMa-IVVeIQxb2pbtljELIEOrNHX7gHLqq8spqwTW8TJZBkJ8br0hyAgs1LJA-wu7eW51nxdz5bRKcCPvbfleQppA7jkcaXgC0ytA-umZwkGqEVI9K-y7D9wDQytxNBFdxbUCapDNQu02uHqCitAn9qvSCujhovxbxJqZDODLyIjb_z9sBEh2IU0yWXPEanJvi0pMGuZmm31Nt0PI6IaiREkhqkU2EpZqzjqg3tfhbpqQ3laYfM0BF1NS6YTbYQ2xu8f39GhH3lBGSQCMhFOBGInSvBDvVYmwy9-3DilHwjn9YV6ivZJ32VpfG5QoJpVO9lBXRO2OoQIgYMLQLhV-uS_pjTZWwSwBtLOgIRGNyd2C8lJN7AilnsaxdpQO0PcCseh1gXRvY_0gBpMzjjpqvBWka-kmUOPX9uGwDChEAScruCxoccz5EAWKGca41tAU2LiHm83qLwMLNAfF6DnKfadY42Zo7h36hWHxCIs0hzY8o0CQCFKGf_O2oATI30YD6Ew3eMacvAnKD4P6V_HwG6BcsKG2YuPAwGRR_U30GYp2x9FasiNThD3IgpxXbV09VmDkRHlTzLCP8oT19KaZUMGM6bWXSiiM5H-LKv6ZOIvPu-K_baKZ2s7WHHsWMJx5meKd-rrevTjCmc3BPoKcs5AgpFg6dHtZBKJLEZCnDY5cVeb1_h-qHbAVapMi41cMW_-MbxYU4hhnjxhY4F8AYncDDmdTaS2dXaBs5kJsqxBSk0i89K77F5pSXiuM-oJ29etRcggJ00PDF3u7RyUk5pRkEiZCtJ3cL_o8dXBTtm4Yj1vsp35fmp-WBDQm-EG1TDCXK0XJTXJlmg3BhWI71qHY3HJ1Dty6hfX5UYLuuYOXpTe2VwQO-m9WyvtCdQjL2w544JRp8mITB7CZMxW7u3QM8lQXNpyRBVtbQ5VpHmaIo7LdCRTvKuFq1qvvKxfgiHsoV5d6QHhib8N6B8-K1eXDyX-d3kBFvtw-ocrTArZTeUMoyvV7xaG6eYIzBp5fyKtEHQ-8DdWmGQysPnUZafv5wTo9nDLATkpO1TZIb3xJCdN3UhXroEbI4mgCuqknXXZy6PGDzqr0Q3re9a-iNx6SrJvK0nOdLG2olBIaio5oBoBuaUg6EybkPcRI-NUu-h62xumEi3JPNkgSFvtw9DEgYRv_7pMOXm8tEORIAHH9hd9RQX-NGr5Mnn4m2L4LfqeB0ItfOBahKfmDMQrUheImuIdyPZ-qwwTAiWdgFry4NnvVeNBKFhinSicpCqkLgTwuz4D0Q1VQqCiHk_XfHAEU6h2C-TqQB87vrcsZodVIUrDafPvvagpYkEk1H85qfKKloEgcU2Qh5sfF86oE3pfeYjG_CcSIV2a59y09fHNlPXoxgnBwV21hEIhEWp0wPUZXDuanIl-4qmRnIDBqw_kBQSNSWKSjl1kCA-p4ePsKn1zjOYEAod2mvun2UzH-Cf4Ov1QdwFiDI4EugLzG3lEwjU9OnV59lcR0qr3oSEiqTP2g3fAk3O6SztwN-veRWIQNzWOTAFb07frp_pRsOYPoq8balHXiXCEuTEuhyKLscICTqXC9DDK50Y80J61phHx1qW4fblr3BBPS9G51g8Ursv46bYJd0kvQFrd7OPYPmJrEpPYSZNBjKiN8pPb99eSyPa0I4Izf8OJyfcCtFocMGP0z4e94D-zW4p7fuj434-Y-Hebcb3DFhZyGUsnbHH0vRQ9-CJeB8PSVak-3TP0ej7z3C7FCrPCi0llMAUw1Tca6XKvEEpCWGKHMBfvFF7vNO_VBEXi8G73dl5aR-UaJ-sBrfgJRnkAKFj7MD-ob92mewMeV-0liym1RS06njNJhnXa-gHg9l6U4KT0D2k5f44jAW3ru7T8wDadY7964OPIQMzqGCNl6Kb48Z0A8U2iQopFDoxw8CD2Z01xTDVY8pr6J_nG4CxTfrILa1DamOz-lOvFOz3Q8zqfT2cJW73QVUBjyFs4IL6JfW6cyoPWPoBR-_B1dO6SJzPcuV_Sg3chLXWc6RRjKovlnuaYGeLaixhY-W43gsrbe2WjpX02pgHOx9sk4SJFIPLkp9NAijnRmdtdM06xPXW-v9v91o2imzif2WuJpJoOLLpKpF-Mw0wKZ3QoVYRhJQz_ua7d3Z3fG0bwckGn69W9m0mUBlkHdArasg01Z3Ypat6tPz-LSeFRgSaafD8nWf8X-0YsXYKlSlxWeeqfIHXTkp2bH4JoG4CJmIV2hpI6mu0TMW_f2jJUafPtx45o7P9QUJLdFmr1XA8V0V2I1oowX3Q318At2nn94j-6QNVLAxGJtqwWX1sAHaBCMDTgPJ65uPv1rwyHTQ2gWFEaQ8QQBfQflIaKssDnD3lpNOFWTFbaSmyU2ocR2UudbJ3L0VqOSee-_DMELGRrChlBHuay8KwqnKLC92AN2aIKg7xp88xovEHoHuqj1RY_C4NjoqKnL5i_PQrbHiNBJU4I-90Sl0jWWVLF1R-9Kmie03nIsSaQNXHhZhm9oTlYd0RZd8Um6yCynUT-tGmu-W2VxBImhuZ39yFYrIul_TPyV0c6T4PvZncAdmkYBr7IdGuURGmqo9d6AlPc0--Lw5Qw5etIN4aiui8JofN83n0-wNunPgobsdghx4bfesU4N-xnGXq4oEGBD5HClhlHwUJoFb4sQcneZgj0g8hzIkYzwLz_3p0nulqP8LPKV2bsSR8YojxB314uK9RCb7lKbhQ_qzr-_NT3G-VTpEl7ndJ9T15UFFG0w87DEUxxQauomxAR-rTz2j0Z8yQ1ChdVEI-oSIO4vnUBDN2QjrnCN-k5h8yys0BAyTNAABwitdGh69R-a0qxapqsuEA3QgQ2E72KfxAycKA2_n8ayzCdcM7ZgmG8gak3lak_7MXfi6JYk3nVHS_Ncwkl9FQUkLMJeT3eUVNtVTNDq9CJ3L4wETvkwEEWmESEZfs-MpdpOQ4Ds4X51Q50PYl2zIgoc12zIMW5089HywBnwIkderdHwbD0ERZN03-2nwYmwsPKAUlT5WshU6HdwR6WRbF04_cb3bb3c2F44-RFOxYY2G2HG50O1pwn2q8Q7h8EXNdp-7nhnaJvchgu5pZsevdXi9lLz69x97LpqMUstlp3We8-fi2Y5c7DMtxawliRHo4q6eLk930gq-AyiAWx76IUF6Tgi6DIkw==", "id": "rs_0653a96d40a8cbd5016a153aa01cd48191ad8b43f57ca6489f", "summary": [ { "type": "summary_text", "text": "**Checking installation and script creation**\n\nI need to check if edge-tts is installed to build a video using Python with edge_tts's word boundaries. I should check for the installation and write a script to generate a local package in data/post_candidates/ai-004, including an mp4 file. I wonder if any code modifications are necessary. I'll probably use a Python script with execute_code to generate the artifact, linking terminal commands and ensuring everything runs smoothly, avoiding heredoc for file creation." }, { "type": "summary_text", "text": "**Creating voice script and commands**\n\nI see that it suggests not to use echo/cat heredoc to create files, but running Python code in heredoc as a terminal command might still be acceptable. I think a better approach is to write the script render_next_post_ai004.py, incorporating a candidate for ai-004. The final voice script should convey a message about how to effectively use AI as a critic rather than just a thinker. \n\nAdditionally, I'll need to include edge_tts's async function for audio and word boundaries, and identify any required command packages." }, { "type": "summary_text", "text": "**Exploring edge_tts and rendering requirements**\n\nI could use the edge_tts library, but if it's missing, I might need to install it via pip using the terminal. For the voice, I'd like to use en-GB-RyanNeural. The project will involve rendering at 1080x1920 resolution at 30 fps with a dark gradient background, consisting of 8 scenes featuring UI cards. \n\nI'll implement word boundaries to phrase segments while highlighting active words. If this proves too complex, I might resort to phrasing captions by time instead. I need to generate frames for each segment as well!" } ] } ], "tool_calls": [ { "id": "call_HjCAWX47MgzCpyVzytVDDRZo", "call_id": "call_HjCAWX47MgzCpyVzytVDDRZo", "response_item_id": "fc_0653a96d40a8cbd5016a153aaf53688191a1b36f8747ac8e7c", "type": "function", "function": { "name": "todo", "arguments": "{\"merge\":true,\"todos\":[{\"content\":\"Repo-Zustand und nächste verfügbare Video-Kandidaten prüfen\",\"id\":\"inspect\",\"status\":\"completed\"},{\"content\":\"Nächsten Post-Kandidaten auswählen und Produktionsartefakte vorbereiten\",\"id\":\"prepare\",\"status\":\"in_progress\"},{\"content\":\"9:16/Audio/Subtitles/QA verifizieren und Review-Package liefern\",\"id\":\"qa\",\"status\":\"pending\"}]}" } } ] }, { "role": "tool", "name": "todo", "content": "{\"todos\": [{\"id\": \"inspect\", \"content\": \"Repo-Zustand und nächste verfügbare Video-Kandidaten prüfen\", \"status\": \"completed\"}, {\"id\": \"prepare\", \"content\": \"Nächsten Post-Kandidaten auswählen und Produktionsartefakte vorbereiten\", \"status\": \"in_progress\"}, {\"id\": \"qa\", \"content\": \"9:16/Audio/Subtitles/QA verifizieren und Review-Package liefern\", \"status\": \"pending\"}], \"summary\": {\"total\": 3, \"pending\": 1, \"in_progress\": 1, \"completed\": 1, \"cancelled\": 0}}", "tool_call_id": "call_HjCAWX47MgzCpyVzytVDDRZo" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "call_QN15ZCXYwMi0sTLqRlcI7gEE", "call_id": "call_QN15ZCXYwMi0sTLqRlcI7gEE", "response_item_id": "fc_0653a96d40a8cbd5016a153ab2fb888191b6ed1e4553282c4e", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"python - <<'PY'\\ntry:\\n import edge_tts\\n print('edge_tts OK', edge_tts.__version__ if hasattr(edge_tts,'__version__') else '')\\nexcept Exception as e:\\n print('edge_tts missing', type(e).__name__, str(e))\\nPY\\nwhich ffmpeg && which ffprobe\",\"timeout\":30,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"edge_tts OK 7.2.7\\n/usr/bin/ffmpeg\\n/usr/bin/ffprobe\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_QN15ZCXYwMi0sTLqRlcI7gEE" }, { "role": "assistant", "content": "", "reasoning": "**Creating a generation script**\n\nI need to write a generation script and make sure the performance is okay. I might use ffmpeg to handle an image sequence and audio together. I'll set the render at 1080x1920 and 30fps, which could take some time, but that's fine. I’ll need to store frames temporarily and ensure there are no extra black bars. Visual quality assurance will be important, so I'll make sure to create the script effectively.", "finish_reason": "tool_calls", "reasoning_content": "**Creating a generation script**\n\nI need to write a generation script and make sure the performance is okay. I might use ffmpeg to handle an image sequence and audio together. I'll set the render at 1080x1920 and 30fps, which could take some time, but that's fine. I’ll need to store frames temporarily and ensure there are no extra black bars. Visual quality assurance will be important, so I'll make sure to create the script effectively.", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqFTrAOWF9ZFM5QVkA0mxANW5krgGTDwbnvTWBirocn-rGvuWmhQYVkb9mh5Dg_NeXgppPfxS21RbJgNYcpktZTLyTvE8CtSa45MDAcvAC-p_e_BrIyKPmluKCmavTWMVVnZfKD_KU6DIpn01wjcQYPyzlLOM9VtlD16k8vIu750DDB9LfahzIrzNbBhz6EiXQ0ftQf3tKYi1r5WmVrLFV5D_M0204PNkAkdHomZmifxLrIb79xWkc6Qqf49-AOtZ91jlzjNX-o4kUkhBiAE4X2_VM2PELChvoOkDWhSvkdfA-alWQ5xtRqHxgicnreC0ydrMxBKQRCjZ4fcfukCSDMypxLt-XC6kYPhiBnQuYp5ATUaLg6DsyFLZcf50UIv5-AxAzXRH3dzImep-BI-8h_QtcRfYAbKOiwLv0o60uEJjYvUrE-jf6EWpR_pIfjzvC-izpWpKS17EstPm0S-qQXgtGmhKkGXsR7IchXRItutEe6mzQOWsjrwxXLnQmwPDrEBxwNZpCTEyreQqkjnrEOrR-dfiSrZfYqLzCj36wTNt7Oof6n-IVTbtDcAyVIEgdc8Ib_Iwxw6YJIbz00MHi9BPvKhK9zMoOQSxTupRpbCD3M-Lft13CGphxOwJ6VGIFbXt-7cWRwEEoQLZ0Vr_upT7c3_nOGKSmuxAwDWgz5qbfcgBcBDG3DJnDo3R2yzWxxk9ZPwCZ2rAlxDl_OwJcfAq81VqEkSPzJbyvrkPo-YwgpD_Q3y1vd0KQPmIp2BXKwOHIyHrL043mJNm10xL1_2VSoHfGy1H8iignpf1zWeN_IQLqV1DliOdZwP1uV4ICBHtRfqzKG_oYeOGo-T5kCLKgmrktJ-bTepY2D17XiMTY25cjArqsmL5Xhw3XOBKNkZCZnf28gyWl97R9jgYZyIRTI9Al9K23MkNil7SEvW7T39KtkSRcItEGqIak689A8nxGc7Kshp-Y3OcbAahGIR9FFQzOJx-XIVo-4-cVoNbPC8Jj2czgmKvL53eExaz6M8_EFwOkEygqdlMnQptMvwFygM2ATL0OL_ij6m3OEFwK3YOB27Zsl95Ym9UvzBI2A-GG6nw70TavgnyJXx_Uk0ryAC0gGEak0WnC5rZMq_bb9XxmGy7eI06OuPn2haRgGiGF0xBawrCIiNesvTlbWGxGx0wK6P53YnkMtiA_T3teFUX2IYDkLa-w2JBCixvKP35N2A4RYpnlWnj2oqwxI0TxuaBnuwnnMO06n07zWUrG4PM=", "id": "rs_0653a96d40a8cbd5016a153ab8a8b881919a023b2b838deb31", "summary": [ { "type": "summary_text", "text": "**Creating a generation script**\n\nI need to write a generation script and make sure the performance is okay. I might use ffmpeg to handle an image sequence and audio together. I'll set the render at 1080x1920 and 30fps, which could take some time, but that's fine. I’ll need to store frames temporarily and ensure there are no extra black bars. Visual quality assurance will be important, so I'll make sure to create the script effectively." } ] } ], "tool_calls": [ { "id": "call_b75VLZYdI8enISMerkHnlb0p", "call_id": "call_b75VLZYdI8enISMerkHnlb0p", "response_item_id": "fc_0653a96d40a8cbd5016a153ac0c7f48191af8f0d5d120da1e5", "type": "function", "function": { "name": "write_file", "arguments": "{\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/scripts/render_next_post_ai004.py\",\"content\":\"#!/usr/bin/env python3\\n\\\"\\\"\\\"Render next post candidate ai-004 as a 9:16 final-near approval video.\\n\\nDeterministic renderer owns all readable UI/cards/subtitles. EdgeTTS provides\\nEnglish voiceover and word-boundary timing; no platform publishing side effects.\\n\\\"\\\"\\\"\\n\\nfrom __future__ import annotations\\n\\nimport asyncio\\nimport hashlib\\nimport json\\nimport math\\nimport shutil\\nimport subprocess\\nimport tempfile\\nfrom pathlib import Path\\n\\nimport edge_tts\\nfrom PIL import Image, ImageDraw, ImageFont\\n\\nROOT = Path(__file__).resolve().parents[1]\\nOUT_DIR = ROOT / \\\"data\\\" / \\\"post_candidates\\\" / \\\"ai-004-stop-asking-ai-to-think-for-you\\\"\\nAUDIO = OUT_DIR / \\\"voiceover_en_gb_ryan.mp3\\\"\\nVIDEO_NO_AUDIO = OUT_DIR / \\\"video_no_audio.mp4\\\"\\nFINAL = OUT_DIR / \\\"ai-004_stop_asking_ai_to_think_for_you_1080x1920_review.mp4\\\"\\nPACKAGE = OUT_DIR / \\\"review_package.json\\\"\\nPACKAGE_MD = OUT_DIR / \\\"review_package.md\\\"\\nQA_FRAME = OUT_DIR / \\\"qa_frame_00_12.png\\\"\\n\\nWIDTH = 1080\\nHEIGHT = 1920\\nFPS = 30\\nVOICE = \\\"en-GB-RyanNeural\\\"\\n\\nSCRIPT = (\\n \\\"Stop asking AI to think for you. Ask it to argue with you. \\\"\\n \\\"When you hand AI a messy idea and say, what should I do, \\\"\\n \\\"it can sound confident before you are ready. Use it as a critic instead. \\\"\\n \\\"First: list my assumptions. Second: find the weak spots. Third: give me two alternatives. \\\"\\n \\\"Fourth: tell me what I still need to decide myself. Now AI is not replacing your judgment. \\\"\\n \\\"It is pressure-testing it. The rule is simple: never ask AI for the final answer \\\"\\n \\\"before you ask it for the argument.\\\"\\n)\\n\\nSCENES = [\\n (0.00, 4.50, \\\"HOOK\\\", \\\"Stop asking AI to think for you.\\\", \\\"Ask it to argue with you.\\\"),\\n (4.50, 9.50, \\\"VISIBLE FAIL\\\", \\\"Messy idea → instant answer\\\", \\\"Confidence arrives too early.\\\"),\\n (9.50, 14.50, \\\"MECHANISM\\\", \\\"Bad prompt: What should I do?\\\", \\\"The model fills missing judgment.\\\"),\\n (14.50, 20.00, \\\"FIX 1\\\", \\\"List my assumptions\\\", \\\"Make hidden guesses visible.\\\"),\\n (20.00, 25.50, \\\"FIX 2\\\", \\\"Find the weak spots\\\", \\\"Attack the plan before reality does.\\\"),\\n (25.50, 31.50, \\\"FIX 3\\\", \\\"Give two alternatives\\\", \\\"Options beat obedient answers.\\\"),\\n (31.50, 37.50, \\\"FIX 4\\\", \\\"What must I decide myself?\\\", \\\"Keep authority with the human.\\\"),\\n (37.50, 44.50, \\\"RULE\\\", \\\"Answer last. Argument first.\\\", \\\"Save this prompt structure.\\\"),\\n]\\n\\n\\ndef font(size: int, bold: bool = False):\\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 c in candidates:\\n if Path(c).exists():\\n return ImageFont.truetype(c, size=size)\\n return ImageFont.load_default()\\n\\n\\ndef text_size(draw: ImageDraw.ImageDraw, text: str, fnt) -> tuple[int, int]:\\n box = draw.textbbox((0, 0), text, font=fnt)\\n return box[2] - box[0], box[3] - box[1]\\n\\n\\ndef wrap_by_pixels(draw: ImageDraw.ImageDraw, text: str, fnt, max_width: int) -> list[str]:\\n words = text.split()\\n lines: list[str] = []\\n line = \\\"\\\"\\n for word in words:\\n cand = (line + \\\" \\\" + word).strip()\\n if text_size(draw, cand, fnt)[0] <= max_width or not line:\\n line = cand\\n else:\\n lines.append(line)\\n line = word\\n if line:\\n lines.append(line)\\n return lines\\n\\n\\nasync def synthesize() -> list[dict[str, float | str]]:\\n OUT_DIR.mkdir(parents=True, exist_ok=True)\\n words: list[dict[str, float | str]] = []\\n communicate = edge_tts.Communicate(SCRIPT, VOICE, rate=\\\"+8%\\\", boundary=\\\"WordBoundary\\\")\\n with AUDIO.open(\\\"wb\\\") as fh:\\n async for chunk in communicate.stream():\\n if chunk[\\\"type\\\"] == \\\"audio\\\":\\n fh.write(chunk[\\\"data\\\"])\\n elif chunk[\\\"type\\\"] == \\\"WordBoundary\\\":\\n words.append(\\n {\\n \\\"word\\\": str(chunk[\\\"text\\\"]),\\n \\\"start\\\": chunk[\\\"offset\\\"] / 10_000_000,\\n \\\"duration\\\": max(0.05, chunk[\\\"duration\\\"] / 10_000_000),\\n }\\n )\\n return words\\n\\n\\ndef ffprobe_duration(path: Path) -> float:\\n raw = subprocess.check_output(\\n [\\\"ffprobe\\\", \\\"-v\\\", \\\"error\\\", \\\"-show_entries\\\", \\\"format=duration\\\", \\\"-of\\\", \\\"default=nw=1:nk=1\\\", str(path)],\\n text=True,\\n ).strip()\\n return float(raw)\\n\\n\\ndef build_segments(words: list[dict[str, float | str]]) -> list[list[dict[str, float | str]]]:\\n segments: list[list[dict[str, float | str]]] = []\\n current: list[dict[str, float | str]] = []\\n for w in words:\\n current.append(w)\\n token = str(w[\\\"word\\\"])\\n if len(current) >= 5 or token.endswith(('.', '?', '!')):\\n segments.append(current)\\n current = []\\n if current:\\n segments.append(current)\\n return segments\\n\\n\\ndef scene_for_time(t: float, duration: float):\\n # Stretch final scene if TTS runs longer than the planned visual beat.\\n for scene in SCENES:\\n if scene[0] <= t < scene[1]:\\n return scene\\n return SCENES[-1] if t <= duration + 1 else SCENES[0]\\n\\n\\ndef segment_for_time(t: float, segments):\\n for seg in segments:\\n start = float(seg[0][\\\"start\\\"])\\n end = float(seg[-1][\\\"start\\\"]) + float(seg[-1][\\\"duration\\\"]) + 0.2\\n if start <= t <= end:\\n return seg\\n return []\\n\\n\\ndef active_word_index(t: float, seg) -> int:\\n for i, w in enumerate(seg):\\n start = float(w[\\\"start\\\"])\\n end = start + float(w[\\\"duration\\\"]) + 0.08\\n if start <= t <= end:\\n return i\\n return max(0, min(len(seg) - 1, sum(1 for w in seg if float(w[\\\"start\\\"]) <= t) - 1))\\n\\n\\ndef rounded(draw, box, radius, fill, outline=None, width=1):\\n draw.rounded_rectangle(box, radius=radius, fill=fill, outline=outline, width=width)\\n\\n\\ndef draw_gradient(draw: ImageDraw.ImageDraw, frame_idx: int, total_frames: int):\\n p = frame_idx / max(1, total_frames - 1)\\n for y in range(0, HEIGHT, 4):\\n r = y / HEIGHT\\n base = (\\n int(4 + 11 * r + 8 * math.sin(p * math.tau)),\\n int(8 + 20 * r),\\n int(28 + 55 * r),\\n )\\n draw.rectangle([0, y, WIDTH, y + 4], fill=base)\\n # soft moving blobs\\n for i, col in enumerate([(37, 99, 235), (14, 165, 233), (168, 85, 247)]):\\n cx = int(WIDTH * (0.22 + 0.28 * i + 0.05 * math.sin(p * math.tau + i)))\\n cy = int(HEIGHT * (0.15 + 0.18 * i + 0.03 * math.cos(p * math.tau * 0.7 + i)))\\n rr = int(260 + 70 * math.sin(p * math.tau + i))\\n draw.ellipse([cx-rr, cy-rr, cx+rr, cy+rr], outline=tuple(min(255, c+30) for c in col), width=5)\\n\\n\\ndef draw_ui_scene(draw: ImageDraw.ImageDraw, scene, p: float):\\n _, _, label, main, sub = scene\\n small = font(34, False)\\n med = font(48, True)\\n large = font(68, True)\\n card_x1, card_y1, card_x2, card_y2 = 90, 235, 990, 1265\\n rounded(draw, [card_x1, card_y1, card_x2, card_y2], 44, (248, 250, 252), (59, 130, 246), 4)\\n draw.text((115, 95), \\\"TrueTraceShorts\\\", font=font(36, True), fill=(226, 232, 240))\\n draw.text((115, 145), \\\"Trace the hidden system. Fix the outcome.\\\", font=font(26, False), fill=(148, 163, 184))\\n rounded(draw, [115, card_y1+45, 360, card_y1+105], 24, (15, 23, 42), None)\\n draw.text((140, card_y1+58), label, font=font(28, True), fill=(125, 211, 252))\\n # simulated prompt window\\n top = card_y1 + 150\\n rounded(draw, [135, top, 945, top+280], 32, (15, 23, 42), (203, 213, 225), 2)\\n for i, c in enumerate([(248, 113, 113), (251, 191, 36), (34, 197, 94)]):\\n draw.ellipse([165+i*42, top+28, 190+i*42, top+53], fill=c)\\n draw.text((165, top+88), \\\"USER PROMPT\\\", font=font(27, True), fill=(148, 163, 184))\\n for j, line in enumerate(wrap_by_pixels(draw, main, large, 690)[:3]):\\n draw.text((165, top+135+j*82), line, font=large, fill=(248, 250, 252))\\n # AI response/checklist cards\\n base_y = top + 360\\n items = [\\\"ASSUMPTIONS\\\", \\\"WEAK SPOTS\\\", \\\"ALTERNATIVES\\\", \\\"HUMAN DECISION\\\"]\\n active = min(len(items)-1, int(p * len(items)))\\n for i, item in enumerate(items):\\n y = base_y + i * 105\\n fill = (219, 234, 254) if i <= active else (226, 232, 240)\\n outline = (59, 130, 246) if i == active else (203, 213, 225)\\n rounded(draw, [165, y, 915, y+78], 24, fill, outline, 3)\\n draw.text((200, y+19), item, font=font(30, True), fill=(15, 23, 42))\\n if i <= active:\\n draw.text((845, y+16), \\\"✓\\\", font=font(38, True), fill=(22, 163, 74))\\n # subline / rule\\n for j, line in enumerate(wrap_by_pixels(draw, sub, med, 760)[:2]):\\n w, _ = text_size(draw, line, med)\\n draw.text(((WIDTH-w)//2, 1190 + j*58), line, font=med, fill=(15, 23, 42))\\n\\n\\ndef draw_subtitles(draw: ImageDraw.ImageDraw, seg, active: int):\\n if not seg:\\n return\\n words = [str(w[\\\"word\\\"]).strip() for w in seg]\\n fnt = font(62, True)\\n pad_x, pad_y = 42, 28\\n y = 1485\\n # compute word positions centered\\n widths = [text_size(draw, w, fnt)[0] for w in words]\\n gap = 18\\n total = sum(widths) + gap * (len(words)-1)\\n x = (WIDTH - total) // 2\\n box = [max(35, x-pad_x), y-pad_y, min(WIDTH-35, x+total+pad_x), y+90+pad_y]\\n rounded(draw, box, 32, (3, 7, 18), (59, 130, 246), 3)\\n for i, (word, ww) in enumerate(zip(words, widths)):\\n fill = (250, 204, 21) if i == active else (248, 250, 252)\\n draw.text((x, y), word.upper(), font=fnt, fill=fill)\\n x += ww + gap\\n\\n\\ndef render_video(words: list[dict[str, float | str]], duration: float):\\n segments = build_segments(words)\\n total_duration = max(duration + 0.8, SCENES[-1][1])\\n total_frames = math.ceil(total_duration * FPS)\\n with tempfile.TemporaryDirectory(prefix=\\\"autoshorts_ai004_frames_\\\") as tmp:\\n frame_dir = Path(tmp) / \\\"frames\\\"\\n frame_dir.mkdir()\\n for idx in range(total_frames):\\n t = idx / FPS\\n img = Image.new(\\\"RGB\\\", (WIDTH, HEIGHT), (3, 7, 18))\\n draw = ImageDraw.Draw(img)\\n draw_gradient(draw, idx, total_frames)\\n scene = scene_for_time(t, total_duration)\\n sp = (t - scene[0]) / max(0.001, scene[1] - scene[0])\\n draw_ui_scene(draw, scene, max(0, min(1, sp)))\\n seg = segment_for_time(t, segments)\\n draw_subtitles(draw, seg, active_word_index(t, seg) if seg else 0)\\n # progress rail\\n draw.rounded_rectangle([95, 1810, 985, 1824], radius=7, fill=(30, 41, 59))\\n draw.rounded_rectangle([95, 1810, 95 + int(890 * min(1, t/total_duration)), 1824], radius=7, fill=(59, 130, 246))\\n img.save(frame_dir / f\\\"frame_{idx:06d}.jpg\\\", quality=92)\\n subprocess.check_call([\\n \\\"ffmpeg\\\", \\\"-y\\\", \\\"-hide_banner\\\", \\\"-loglevel\\\", \\\"error\\\",\\n \\\"-framerate\\\", str(FPS), \\\"-i\\\", str(frame_dir / \\\"frame_%06d.jpg\\\"),\\n \\\"-vf\\\", \\\"setsar=1,setdar=9/16,format=yuv420p\\\",\\n \\\"-c:v\\\", \\\"libx264\\\", \\\"-preset\\\", \\\"veryfast\\\", \\\"-crf\\\", \\\"18\\\",\\n \\\"-movflags\\\", \\\"+faststart\\\", str(VIDEO_NO_AUDIO)\\n ])\\n subprocess.check_call([\\n \\\"ffmpeg\\\", \\\"-y\\\", \\\"-hide_banner\\\", \\\"-loglevel\\\", \\\"error\\\",\\n \\\"-i\\\", str(VIDEO_NO_AUDIO), \\\"-i\\\", str(AUDIO),\\n \\\"-map\\\", \\\"0:v:0\\\", \\\"-map\\\", \\\"1:a:0\\\",\\n \\\"-c:v\\\", \\\"copy\\\", \\\"-c:a\\\", \\\"aac\\\", \\\"-b:a\\\", \\\"160k\\\",\\n \\\"-shortest\\\", \\\"-movflags\\\", \\\"+faststart\\\", str(FINAL)\\n ])\\n subprocess.check_call([\\n \\\"ffmpeg\\\", \\\"-y\\\", \\\"-hide_banner\\\", \\\"-loglevel\\\", \\\"error\\\",\\n \\\"-ss\\\", \\\"12\\\", \\\"-i\\\", str(FINAL), \\\"-frames:v\\\", \\\"1\\\", str(QA_FRAME)\\n ])\\n\\n\\ndef probe_video(path: Path) -> dict[str, object]:\\n meta = json.loads(subprocess.check_output([\\n \\\"ffprobe\\\", \\\"-v\\\", \\\"error\\\", \\\"-select_streams\\\", \\\"v:0\\\",\\n \\\"-show_entries\\\", \\\"stream=width,height,sample_aspect_ratio,display_aspect_ratio,r_frame_rate\\\",\\n \\\"-show_entries\\\", \\\"format=duration\\\", \\\"-of\\\", \\\"json\\\", str(path)\\n ], text=True))\\n s = meta[\\\"streams\\\"][0]\\n return {\\n \\\"width\\\": s[\\\"width\\\"], \\\"height\\\": s[\\\"height\\\"],\\n \\\"sample_aspect_ratio\\\": s.get(\\\"sample_aspect_ratio\\\"),\\n \\\"display_aspect_ratio\\\": s.get(\\\"display_aspect_ratio\\\"),\\n \\\"frame_rate\\\": s.get(\\\"r_frame_rate\\\"),\\n \\\"duration\\\": round(float(meta[\\\"format\\\"][\\\"duration\\\"]), 3),\\n }\\n\\n\\ndef sha256(path: Path) -> str:\\n h = hashlib.sha256()\\n with path.open(\\\"rb\\\") as f:\\n for chunk in iter(lambda: f.read(1024 * 1024), b\\\"\\\"):\\n h.update(chunk)\\n return h.hexdigest()\\n\\n\\ndef main() -> None:\\n if not shutil.which(\\\"ffmpeg\\\") or not shutil.which(\\\"ffprobe\\\"):\\n raise RuntimeError(\\\"ffmpeg/ffprobe required\\\")\\n OUT_DIR.mkdir(parents=True, exist_ok=True)\\n words = asyncio.run(synthesize())\\n audio_duration = ffprobe_duration(AUDIO)\\n render_video(words, audio_duration)\\n vmeta = probe_video(FINAL)\\n digest = sha256(FINAL)\\n package = {\\n \\\"schema_version\\\": \\\"autoshorts_final_review.v1\\\",\\n \\\"requires_human_approval\\\": True,\\n \\\"side_effects\\\": [],\\n \\\"candidate_id\\\": \\\"ai-004\\\",\\n \\\"title\\\": \\\"Stop asking AI to think for you\\\",\\n \\\"series\\\": \\\"AI Output Autopsy\\\",\\n \\\"pillar\\\": \\\"ai_life_systems\\\",\\n \\\"final_video_language\\\": \\\"en\\\",\\n \\\"approval_language\\\": \\\"de\\\",\\n \\\"media_path\\\": str(FINAL.resolve()),\\n \\\"qa_frame_path\\\": str(QA_FRAME.resolve()),\\n \\\"sha256\\\": digest,\\n \\\"video_meta\\\": vmeta,\\n \\\"voice\\\": VOICE,\\n \\\"hook\\\": \\\"Stop asking AI to think for you. Ask it to argue with you.\\\",\\n \\\"caption\\\": \\\"AI is more useful as a critic than as a guru.\\\",\\n \\\"hashtags\\\": [\\\"#AI\\\", \\\"#Productivity\\\", \\\"#Workflow\\\", \\\"#DecisionMaking\\\", \\\"#TrueTraceShorts\\\"],\\n \\\"platform_targets\\\": [\\\"YouTube Shorts\\\", \\\"TikTok\\\", \\\"Instagram Reels\\\"],\\n \\\"quality_notes\\\": [\\n \\\"1080x1920 export with SAR 1:1 and DAR 9:16\\\",\\n \\\"EdgeTTS English voiceover with word-boundary driven active-word captions\\\",\\n \\\"Readable UI/cards are deterministic renderer-owned, not AI-generated\\\",\\n \\\"No platform posting side effects performed\\\",\\n ],\\n \\\"approval_commands\\\": [\\\"Freigabe YouTube\\\", \\\"Freigabe TikTok\\\", \\\"Freigabe Instagram\\\", \\\"Freigabe alle\\\", \\\"Ablehnen\\\", \\\"Ändern: \\\"],\\n \\\"script\\\": SCRIPT,\\n }\\n PACKAGE.write_text(json.dumps(package, indent=2, ensure_ascii=False) + \\\"\\\\n\\\", encoding=\\\"utf-8\\\")\\n md = f\\\"\\\"\\\"## AutoShortsBot Review — ai-004\\\\n\\\\nMEDIA:{FINAL.resolve()}\\\\n\\\\n**Titel:** Stop asking AI to think for you\\\\n**Serie:** AI Output Autopsy\\\\n**Hook:** Stop asking AI to think for you. Ask it to argue with you.\\\\n**Sprache final:** Englisch\\\\n**Zielplattformen:** YouTube Shorts, TikTok, Instagram Reels\\\\n**Format:** {vmeta['width']}x{vmeta['height']}, SAR {vmeta['sample_aspect_ratio']}, DAR {vmeta['display_aspect_ratio']}, {vmeta['duration']}s\\\\n**SHA256:** `{digest}`\\\\n\\\\n**Caption:** AI is more useful as a critic than as a guru.\\\\n**Hashtags:** {' '.join(package['hashtags'])}\\\\n\\\\n**QA:** 9:16 mobile-safe, aktive Wort-Untertitel, deterministic UI/cards, keine Posting-Side-Effects.\\\\n**QA frame:** `{QA_FRAME.resolve()}`\\\\n\\\\n**Freigabe-Befehle:**\\\\n- `Freigabe YouTube`\\\\n- `Freigabe TikTok`\\\\n- `Freigabe Instagram`\\\\n- `Freigabe alle`\\\\n- `Ablehnen`\\\\n- `Ändern: `\\\\n\\\"\\\"\\\"\\n PACKAGE_MD.write_text(md, encoding=\\\"utf-8\\\")\\n print(json.dumps({\\\"final\\\": str(FINAL), \\\"package\\\": str(PACKAGE), \\\"meta\\\": vmeta, \\\"sha256\\\": digest}, indent=2))\\n\\n\\nif __name__ == \\\"__main__\\\":\\n main()\\n\"}" } } ] }, { "role": "tool", "name": "write_file", "content": "{\"bytes_written\": 15312, \"dirs_created\": true, \"lint\": {\"status\": \"ok\", \"output\": \"\"}, \"lsp_diagnostics\": \"LSP diagnostics introduced by this edit:\\n\\nERROR [71:12] Type \\\"tuple[float, float]\\\" is not assignable to return type \\\"tuple[int, int]\\\"\\n  \\\"float\\\" is not assignable to \\\"int\\\"\\n  \\\"float\\\" is not assignable to \\\"int\\\" [reportReturnType] (Pyright)\\nERROR [97:26] Could not access item in TypedDict\\n  \\\"data\\\" is not a required key in \\\"TTSChunk\\\", so access may result in runtime exception [reportTypedDictNotRequiredAccess] (Pyright)\\nERROR [101:37] Could not access item in TypedDict\\n  \\\"text\\\" is not a required key in \\\"TTSChunk\\\", so access may result in runtime exception [reportTypedDictNotRequiredAccess] (Pyright)\\nERROR [102:34] Could not access item in TypedDict\\n  \\\"offset\\\" is not a required key in \\\"TTSChunk\\\", so access may result in runtime exception [reportTypedDictNotRequiredAccess] (Pyright)\\nERROR [103:47] Could not access item in TypedDict\\n  \\\"duration\\\" is not a required key in \\\"TTSChunk\\\", so access may result in runtime exception [reportTypedDictNotRequiredAccess] (Pyright)\\n\"}", "tool_call_id": "call_b75VLZYdI8enISMerkHnlb0p" }, { "role": "assistant", "content": "", "reasoning": "**Fixing type errors**\n\nI need to address some type errors I'm encountering. I think I should use a patch for this. The function `text_size` currently returns floats because of `textbbox`, so I should cast that to an integer. Also, when accessing chunks, it seems I need to use `get`. I'll make sure to implement these changes properly to ensure everything runs smoothly. This feels like a little puzzle to solve, so I'm on it!", "finish_reason": "tool_calls", "reasoning_content": "**Fixing type errors**\n\nI need to address some type errors I'm encountering. I think I should use a patch for this. The function `text_size` currently returns floats because of `textbbox`, so I should cast that to an integer. Also, when accessing chunks, it seems I need to use `get`. I'll make sure to implement these changes properly to ensure everything runs smoothly. This feels like a little puzzle to solve, so I'm on it!", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqFTsc3yyI7qmm7USFw3lG5Al5uufDuZugQtFXiNqzEBKr4UG_vTIQThvhuZvz-BVm-SFBArvCcV6D8ehzHF4-RCNlyRTam1NV602p36RzxzPblMQ9R00c7uZ7oG0Yj5XORhijF_VJVCfwYH18pC1vwyrYBhMTGnl9pZCR_IEvM1fc5w9_YsZZpwU89fH-hythrgHGLbH4XiaDkJHJjWUG34DFgd3qc_DOSvca64suss4xbTAIqNQYmUtgI8TAaV1evNIatmyQ0F_x-3JAIT1swjP3o3KFFPhr68HBzDTrfIJUS3lDTxb5QjLIM1uvpNLPg3OBwjYPz33WD2u4Vvp69L91GRVxhXfILXiCSDlEcs0IOiaNSvQaEW1w4Xo_8pADsOkkiTV6nDbvG0F_ix9Zt5Q58pRaPkgRSycjgeGUbG84IYphoeMgJB7_me6bJvYY-r-ogvd8qCZiiz_8d_jtkFvuZnl0JTtsdzsPIHwRuAeZP4WFoM7uP1fJ2uYQZBjCTQXPYn33uaedqBA8vk0sHW18uZeiByWfOIykFt04sj58eG6CU9i_mLvqeFUUcgk1xhcCm20CajLyuXbOrU02-q0GHYOKt4pV94c6oWEorMufb3n2y2Mq7c5Jq1Ijx5rhiHSIJ3XRv1MIrWdUjgHkNBSvA9rL9mtUpoc97nrE63yQLCljp8Go6a2dcg3lbsVhpj5DfRnhNRZwbul34jI6Abt5mqHo1c5Slpe3Vvdxp_iMrhwQpxuBDt6LZnBoOOkwTMzdCD56PJ0bjZSgc_CF2cf6Z4Or9uh1hSMxAhSkJ7ejV4ClyMk8r-PVBTaHi-vHZpRacPEQf7d5lWJnsyYCKrwBg3OstCg2uPUA37-JB7jvULpQBC8Oaqg9xPBO3-nRmK0qA-lmLkXIm2t8QtQQG93ntd7TqPQ7aExfXJkvh3rMPymzaOEcCFAhZ63ocdx7k0y_feoEwDRd63X55rsZYFXdFL54Pcx0b8tIZ-pdV2FNHHTBZTYv_GiH01Z9o_FDe0DeVlPZXs89SW6-i0axnj8ShOyyl05OAV-7AMSIqJ7Dfls=", "id": "rs_0653a96d40a8cbd5016a153b1a2b608191a9e4a1e6353ffd51", "summary": [ { "type": "summary_text", "text": "**Fixing type errors**\n\nI need to address some type errors I'm encountering. I think I should use a patch for this. The function `text_size` currently returns floats because of `textbbox`, so I should cast that to an integer. Also, when accessing chunks, it seems I need to use `get`. I'll make sure to implement these changes properly to ensure everything runs smoothly. This feels like a little puzzle to solve, so I'm on it!" } ] } ], "tool_calls": [ { "id": "call_Sy6bf5KX6VPdQyLBKumQaTGZ", "call_id": "call_Sy6bf5KX6VPdQyLBKumQaTGZ", "response_item_id": "fc_0653a96d40a8cbd5016a153b1c3b508191a811d56c6430acf3", "type": "function", "function": { "name": "patch", "arguments": "{\"mode\":\"replace\",\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/scripts/render_next_post_ai004.py\",\"old_string\":\"def text_size(draw: ImageDraw.ImageDraw, text: str, fnt) -> tuple[int, int]:\\n box = draw.textbbox((0, 0), text, font=fnt)\\n return box[2] - box[0], box[3] - box[1]\\n\",\"new_string\":\"def text_size(draw: ImageDraw.ImageDraw, text: str, fnt) -> tuple[int, int]:\\n box = draw.textbbox((0, 0), text, font=fnt)\\n return int(box[2] - box[0]), int(box[3] - box[1])\\n\"}" } } ] }, { "role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/agent/jarvis_runtime/AutoShortsBot/scripts/render_next_post_ai004.py\\n+++ b//home/agent/jarvis_runtime/AutoShortsBot/scripts/render_next_post_ai004.py\\n@@ -68,7 +68,7 @@\\n \\n def text_size(draw: ImageDraw.ImageDraw, text: str, fnt) -> tuple[int, int]:\\n box = draw.textbbox((0, 0), text, font=fnt)\\n- return box[2] - box[0], box[3] - box[1]\\n+ return int(box[2] - box[0]), int(box[3] - box[1])\\n \\n \\n def wrap_by_pixels(draw: ImageDraw.ImageDraw, text: str, fnt, max_width: int) -> list[str]:\\n\", \"files_modified\": [\"/home/agent/jarvis_runtime/AutoShortsBot/scripts/render_next_post_ai004.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_Sy6bf5KX6VPdQyLBKumQaTGZ" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "call_ufTyvgwCWhglAb7ImEYq5NfA", "call_id": "call_ufTyvgwCWhglAb7ImEYq5NfA", "response_item_id": "fc_0653a96d40a8cbd5016a153b23fb7c8191a29628cb87433ebe", "type": "function", "function": { "name": "patch", "arguments": "{\"mode\":\"replace\",\"new_string\":\" if chunk[\\\"type\\\"] == \\\"audio\\\":\\n fh.write(bytes(chunk.get(\\\"data\\\", b\\\"\\\")))\\n elif chunk[\\\"type\\\"] == \\\"WordBoundary\\\":\\n words.append(\\n {\\n \\\"word\\\": str(chunk.get(\\\"text\\\", \\\"\\\")),\\n \\\"start\\\": float(chunk.get(\\\"offset\\\", 0)) / 10_000_000,\\n \\\"duration\\\": max(0.05, float(chunk.get(\\\"duration\\\", 0)) / 10_000_000),\\n }\\n )\",\"old_string\":\" if chunk[\\\"type\\\"] == \\\"audio\\\":\\n fh.write(chunk[\\\"data\\\"])\\n elif chunk[\\\"type\\\"] == \\\"WordBoundary\\\":\\n words.append(\\n {\\n \\\"word\\\": str(chunk[\\\"text\\\"]),\\n \\\"start\\\": chunk[\\\"offset\\\"] / 10_000_000,\\n \\\"duration\\\": max(0.05, chunk[\\\"duration\\\"] / 10_000_000),\\n }\\n )\",\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/scripts/render_next_post_ai004.py\"}" } } ] }, { "role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/agent/jarvis_runtime/AutoShortsBot/scripts/render_next_post_ai004.py\\n+++ b//home/agent/jarvis_runtime/AutoShortsBot/scripts/render_next_post_ai004.py\\n@@ -94,13 +94,13 @@\\n with AUDIO.open(\\\"wb\\\") as fh:\\n async for chunk in communicate.stream():\\n if chunk[\\\"type\\\"] == \\\"audio\\\":\\n- fh.write(chunk[\\\"data\\\"])\\n+ fh.write(bytes(chunk.get(\\\"data\\\", b\\\"\\\")))\\n elif chunk[\\\"type\\\"] == \\\"WordBoundary\\\":\\n words.append(\\n {\\n- \\\"word\\\": str(chunk[\\\"text\\\"]),\\n- \\\"start\\\": chunk[\\\"offset\\\"] / 10_000_000,\\n- \\\"duration\\\": max(0.05, chunk[\\\"duration\\\"] / 10_000_000),\\n+ \\\"word\\\": str(chunk.get(\\\"text\\\", \\\"\\\")),\\n+ \\\"start\\\": float(chunk.get(\\\"offset\\\", 0)) / 10_000_000,\\n+ \\\"duration\\\": max(0.05, float(chunk.get(\\\"duration\\\", 0)) / 10_000_000),\\n }\\n )\\n return words\\n\", \"files_modified\": [\"/home/agent/jarvis_runtime/AutoShortsBot/scripts/render_next_post_ai004.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_ufTyvgwCWhglAb7ImEYq5NfA" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "call_fr1fWZsXDRrDWrqK1qcRlpGC", "call_id": "call_fr1fWZsXDRrDWrqK1qcRlpGC", "response_item_id": "fc_0653a96d40a8cbd5016a153b2e2d4c8191878410c9dce863f1", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"python scripts/render_next_post_ai004.py\",\"timeout\":600,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\",\"notify_on_complete\":false}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"{\\n \\\"final\\\": \\\"/home/agent/jarvis_runtime/AutoShortsBot/data/post_candidates/ai-004-stop-asking-ai-to-think-for-you/ai-004_stop_asking_ai_to_think_for_you_1080x1920_review.mp4\\\",\\n \\\"package\\\": \\\"/home/agent/jarvis_runtime/AutoShortsBot/data/post_candidates/ai-004-stop-asking-ai-to-think-for-you/review_package.json\\\",\\n \\\"meta\\\": {\\n \\\"width\\\": 1080,\\n \\\"height\\\": 1920,\\n \\\"sample_aspect_ratio\\\": \\\"1:1\\\",\\n \\\"display_aspect_ratio\\\": \\\"9:16\\\",\\n \\\"frame_rate\\\": \\\"30/1\\\",\\n \\\"duration\\\": 35.064\\n },\\n \\\"sha256\\\": \\\"5ea59b2dc9cbe313c076f6b3e8e42dc8b6dfe95fb9bebc9cce9d7c3d53705d65\\\"\\n}\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_fr1fWZsXDRrDWrqK1qcRlpGC" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqFTtuPrIxMOnUoUrnFgw__NOju3NDjeOfei_9kAVdoVGejiyXsSYDh_668Pzl9eNfDqsPEC1cWxMrckKa3cck5in8kWnF0C8g60DaQeySj0cdIo_8OQ2YCwuhmZS4Z_wv2ePRMb7m9cfpzb4G9p0uK8pitq-ApbBBqu0fXSyTE2ZLwWMTEFD2MTYsZvy_8UgFAh1cYoh2CCkDCT2hZHIElbZSrNA2dM9SBngYikKUbl8F5oDmQPO03qT_uV2i0ye24bM4uzywEv8t9_szMmaC1Xm7J5w8GGNBIfnmKQHbk-IieC0vqS1VCDyTuxYcC3u3-1OoIdpsp791JXDrb1De9qn9Lr44VuERbyoDAaruVjpKVnoYUxG72ztfd4DA5RhjoRHV_Gv-urT_pHfjdz1kkP3JiVL6hfXN3zTbLA_TeA0OfJm9DwUTRO7gu4LP3W6RnSCsmhdZQfCNTeM2UYDExLleMBYyFdpd0-OhxmiclLNCng01c87Aru01g8C311vsDbM4QhvliERWjvFRphsIlqWJfAlRBtTXcMhZN--O2aLyfZkTKSyVF0HSI0lxiLYjJgX0RRL3dXLSMi4siPkuOZ7Oc7MYPmtZRpJXGBo7R-970RyMbGYHJbkiNJ3U9qeJGMMds26uSgFSu6IE27HvhoUVssASY0805icJ0hL5FJo9npfjvR7KyeYIPvFAz4meyOYCf8owMWXL93f6D_pkmKxssTVbXMCmbDVcjx0rvbBV7jDqI8s5557LiuZBoVGsZYqANlDtqG4pzVwXw-hn4ndadWzAvQiq4OMDqdtiGzpeeVwbnCV1LThF3Cb4kehrRuvVno4WtzknkCP9xCVWNdXiKUTJVIG1dAMCDJ0vgJRKDJDJ5EuvG3Onm4wbuIfM1uro3hdc8GrbY6Qmiy65vBpF0qahzPNSwxCKj62HLI_toTz64fP7jzQHA1qc7-2aAB9CRS2QohoifRyglv4gUYmvlhlGjRsuMYaGnz-IbvohqUyy0zpCBWuLCafCNJ30nDSn6pBrZVMtVYSeBmEX5mlSyWcmkSq2doxyh-qV79TJt7ZQpkmJb04M_VQxLvpi8ai9qAM10Mykrr7-2CXnH271RWMBp2Lqbq0yqk6vuQrMI_fXugwNoiYRaBsP6QRomHeqjwHP_0_gM_crQsju9L6z1fDa6CiLxq2RxKO5vWYdHWLiKJqhmNRpfWlX4UIlndSLRhiN8N6dD6vIHVuXMP17MlsEFxiYiXABEj-0wUPgOzx3iYCO63l7bs_qUcx3DlEU3AedFRdTq7H3oSAAkdOBgOp2N4cml_f5yhrnuUkdHfoAEXcZ3sjcz10weVYORcW0ZQW5kThLbOaoDtMG79hsB7wDsHloVn56BQlhz_68EBIl94CyL5UoOngAfDm2C848oE4evwRFquE_V7LrdjZkhf8OrWQznhJ6SuRqEOiWzC-sr1AmrtXnRcjR9ayeXh6A5gloP3eYR1KK3G7uHmHtWjcpEUWoVZ00sk3-YjiUlz7AU8ZhFjrVSUnHCY3Dy-wJeev042fex5veKdAWLlC80mpD8SLKYC1WOC2C0m3rOLqNk5ZdhNkVrasTbZGx4cjLdhDhFBHiogE1D0HlAOB4jo7W8o0BYBeQVb5cwPzCFg9sl1eZnSvHGgiGNRkZ8IGX5ZzB9YxIEU0pvLIWKkSgWJPpqSVdcvd7xiAA7onIrrCVhvYvKNPnbjdaXSfptwvFwGfSgBZQKs2dfWBOm_JWAIx1Sgc5WsNwBm53afe_f5oyvuWH-g_1xw6zODDGAppNlhQep2W0W3oC7xSmJXUVImbiV_jP1_oc4g0l6QankbIU8oDPTIg1_poagzdOeTzgZrn5K_YmSXYLafVlIo6zl8-OgFpjTpuwyvW2de7TXRf2nSOFMCfRevmYC-NLdSsG3TigZofCtVE3cof4b0xsZlZRVupvcVAd2WAELIJoxzr1eldK95mmgVZ-E8byJNxxeubf_e_B-u51qfUuQttc1BDwxR_BMhEAYMVPs0xS_oVvOpXl-qjoxgx41TRtQwFHCmQNg55ikxCwgIhFWtfTJLUNmWyEqiIdt3Qs3Z-V7Pfqjd_LMbX6Xp1z2eUlGdfaxViILiys99ahhFRmRsUEF_USLCk-Ui2Z1ZRb6TzRwGFsgmUTzcdqwvDOxDxs3jcZxTMGO2N9lPEg135B10-A2pkljOesuawvB3IIZqtmj076e1-u35N8QYmFcai7WAVkzLmUcNtUg51v2_6YHEV6stbVmizix2GzkmutanxSzh69NBJjmuToYJFMtRZu_uaNTVDdmjMnBSu8_1jqkvwdzzn3-1kPGHteZBuBjPjXRNCzkRfY5HMTSneUTjovG7bEpoCgwP7KIcnipWckLiS9cFuJPEOjeRNLL7wAcgtjxZ83HpqH1H8mbwRs1X7lpna8_sERj37ARpnJgWbOOlhJcvlYlIrv-EeL3Dg5A_4wJuPdQcRQsAepdBihIVZFI4YMI1_3FXuo2s9aLJF8Z86Gki2Xo6xnQmCcUuJ4Nidjyu7T9dwpVCjHVvOTpN4SCmT3q7_-Vy83BGYy2Dpm68PTb7BLSw5kAYBx3qlXas-NyAL7MYKmmjlKalOub_fE00A_6Lc7IilFNMZIx-41XZSjXV_e1ae4X9nLCLMhQomGPz2d7dV6tt5Gsnds4KxkBy-R2jOfrsR2M4ZaddZDVUxRK2YpU9PW8_nyMJDOblasOI7VQs8JqDvejQiqTL1NPWViODnq_WlFr_1PDvRBjNc_UdR_SmVSbWl1q1uQeNotcoDfsb3XRy8eEBGy7pn2uYD2_ZWKjoPky1mn1oaNxtBIQQXWCmcieOvG9nKUdPQU9g0=", "id": "rs_0653a96d40a8cbd5016a153b66bdec81919c55b655fdd0600f", "summary": [] } ], "tool_calls": [ { "id": "call_LtgPuhegyWaqG2WdOWGAaEEY", "call_id": "call_LtgPuhegyWaqG2WdOWGAaEEY", "response_item_id": "fc_0653a96d40a8cbd5016a153b6e7038819197e8ae47de813d53", "type": "function", "function": { "name": "patch", "arguments": "{\"mode\":\"replace\",\"new_string\":\"SCENES = [\\n (0.00, 3.60, \\\"HOOK\\\", \\\"Stop asking AI to think for you.\\\", \\\"Ask it to argue with you.\\\"),\\n (3.60, 7.80, \\\"VISIBLE FAIL\\\", \\\"Messy idea → instant answer\\\", \\\"Confidence arrives too early.\\\"),\\n (7.80, 12.00, \\\"MECHANISM\\\", \\\"Bad prompt: What should I do?\\\", \\\"The model fills missing judgment.\\\"),\\n (12.00, 16.20, \\\"FIX 1\\\", \\\"List my assumptions\\\", \\\"Make hidden guesses visible.\\\"),\\n (16.20, 20.40, \\\"FIX 2\\\", \\\"Find the weak spots\\\", \\\"Attack the plan before reality does.\\\"),\\n (20.40, 24.80, \\\"FIX 3\\\", \\\"Give two alternatives\\\", \\\"Options beat obedient answers.\\\"),\\n (24.80, 29.60, \\\"FIX 4\\\", \\\"What must I decide myself?\\\", \\\"Keep authority with the human.\\\"),\\n (29.60, 36.00, \\\"RULE\\\", \\\"Answer last. Argument first.\\\", \\\"Save this prompt structure.\\\"),\\n]\\n\",\"old_string\":\"SCENES = [\\n (0.00, 4.50, \\\"HOOK\\\", \\\"Stop asking AI to think for you.\\\", \\\"Ask it to argue with you.\\\"),\\n (4.50, 9.50, \\\"VISIBLE FAIL\\\", \\\"Messy idea → instant answer\\\", \\\"Confidence arrives too early.\\\"),\\n (9.50, 14.50, \\\"MECHANISM\\\", \\\"Bad prompt: What should I do?\\\", \\\"The model fills missing judgment.\\\"),\\n (14.50, 20.00, \\\"FIX 1\\\", \\\"List my assumptions\\\", \\\"Make hidden guesses visible.\\\"),\\n (20.00, 25.50, \\\"FIX 2\\\", \\\"Find the weak spots\\\", \\\"Attack the plan before reality does.\\\"),\\n (25.50, 31.50, \\\"FIX 3\\\", \\\"Give two alternatives\\\", \\\"Options beat obedient answers.\\\"),\\n (31.50, 37.50, \\\"FIX 4\\\", \\\"What must I decide myself?\\\", \\\"Keep authority with the human.\\\"),\\n (37.50, 44.50, \\\"RULE\\\", \\\"Answer last. Argument first.\\\", \\\"Save this prompt structure.\\\"),\\n]\\n\",\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/scripts/render_next_post_ai004.py\"}" } } ] }, { "role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/agent/jarvis_runtime/AutoShortsBot/scripts/render_next_post_ai004.py\\n+++ b//home/agent/jarvis_runtime/AutoShortsBot/scripts/render_next_post_ai004.py\\n@@ -44,14 +44,14 @@\\n )\\n \\n SCENES = [\\n- (0.00, 4.50, \\\"HOOK\\\", \\\"Stop asking AI to think for you.\\\", \\\"Ask it to argue with you.\\\"),\\n- (4.50, 9.50, \\\"VISIBLE FAIL\\\", \\\"Messy idea → instant answer\\\", \\\"Confidence arrives too early.\\\"),\\n- (9.50, 14.50, \\\"MECHANISM\\\", \\\"Bad prompt: What should I do?\\\", \\\"The model fills missing judgment.\\\"),\\n- (14.50, 20.00, \\\"FIX 1\\\", \\\"List my assumptions\\\", \\\"Make hidden guesses visible.\\\"),\\n- (20.00, 25.50, \\\"FIX 2\\\", \\\"Find the weak spots\\\", \\\"Attack the plan before reality does.\\\"),\\n- (25.50, 31.50, \\\"FIX 3\\\", \\\"Give two alternatives\\\", \\\"Options beat obedient answers.\\\"),\\n- (31.50, 37.50, \\\"FIX 4\\\", \\\"What must I decide myself?\\\", \\\"Keep authority with the human.\\\"),\\n- (37.50, 44.50, \\\"RULE\\\", \\\"Answer last. Argument first.\\\", \\\"Save this prompt structure.\\\"),\\n+ (0.00, 3.60, \\\"HOOK\\\", \\\"Stop asking AI to think for you.\\\", \\\"Ask it to argue with you.\\\"),\\n+ (3.60, 7.80, \\\"VISIBLE FAIL\\\", \\\"Messy idea → instant answer\\\", \\\"Confidence arrives too early.\\\"),\\n+ (7.80, 12.00, \\\"MECHANISM\\\", \\\"Bad prompt: What should I do?\\\", \\\"The model fills missing judgment.\\\"),\\n+ (12.00, 16.20, \\\"FIX 1\\\", \\\"List my assumptions\\\", \\\"Make hidden guesses visible.\\\"),\\n+ (16.20, 20.40, \\\"FIX 2\\\", \\\"Find the weak spots\\\", \\\"Attack the plan before reality does.\\\"),\\n+ (20.40, 24.80, \\\"FIX 3\\\", \\\"Give two alternatives\\\", \\\"Options beat obedient answers.\\\"),\\n+ (24.80, 29.60, \\\"FIX 4\\\", \\\"What must I decide myself?\\\", \\\"Keep authority with the human.\\\"),\\n+ (29.60, 36.00, \\\"RULE\\\", \\\"Answer last. Argument first.\\\", \\\"Save this prompt structure.\\\"),\\n ]\\n \\n \\n\", \"files_modified\": [\"/home/agent/jarvis_runtime/AutoShortsBot/scripts/render_next_post_ai004.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}", "tool_call_id": "call_LtgPuhegyWaqG2WdOWGAaEEY" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "call_BPvUlDmYSnTOdUY6fY7npL4T", "call_id": "call_BPvUlDmYSnTOdUY6fY7npL4T", "response_item_id": "fc_0653a96d40a8cbd5016a153b7d674c8191849b19122f70f6f3", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"python scripts/render_next_post_ai004.py\",\"timeout\":600,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"{\\n \\\"final\\\": \\\"/home/agent/jarvis_runtime/AutoShortsBot/data/post_candidates/ai-004-stop-asking-ai-to-think-for-you/ai-004_stop_asking_ai_to_think_for_you_1080x1920_review.mp4\\\",\\n \\\"package\\\": \\\"/home/agent/jarvis_runtime/AutoShortsBot/data/post_candidates/ai-004-stop-asking-ai-to-think-for-you/review_package.json\\\",\\n \\\"meta\\\": {\\n \\\"width\\\": 1080,\\n \\\"height\\\": 1920,\\n \\\"sample_aspect_ratio\\\": \\\"1:1\\\",\\n \\\"display_aspect_ratio\\\": \\\"9:16\\\",\\n \\\"frame_rate\\\": \\\"30/1\\\",\\n \\\"duration\\\": 35.064\\n },\\n \\\"sha256\\\": \\\"91727994a10e0ea53f7c8f4f41c10a44f8431dd5b65e1a9725e1f1ea47884648\\\"\\n}\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_BPvUlDmYSnTOdUY6fY7npL4T" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "call_99xtDZCGXGNGo6YlwlfYXcXD", "call_id": "call_99xtDZCGXGNGo6YlwlfYXcXD", "response_item_id": "fc_0653a96d40a8cbd5016a153ba417e88191b36b655d1aa992f1", "type": "function", "function": { "name": "vision_analyze", "arguments": "{\"image_url\":\"/home/agent/jarvis_runtime/AutoShortsBot/data/post_candidates/ai-004-stop-asking-ai-to-think-for-you/qa_frame_00_12.png\",\"question\":\"QA this 9:16 Shorts frame: are subtitles and UI text readable, within safe zones, and are there black bars or obvious aspect-ratio distortion? Keep answer concise.\"}" } } ] }, { "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: QA this 9:16 Shorts frame: are subtitles and UI text readable, within safe zones, and are there black bars or obvious aspect-ratio distortion? Keep answer concise." }, { "type": "image_url", "image_url": { "url": "data:image/png;base64,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" } } ], "tool_call_id": "call_99xtDZCGXGNGo6YlwlfYXcXD" }, { "role": "assistant", "content": "", "reasoning": "**Adjusting subtitle display**\n\nI'm working on increasing or decreasing the window height to fit subtitles correctly. The current subtitle layout at y=1248 is clipped—so I might need to limit it to one line. I’ll reduce the y value and make it dynamic, breaking subtitles into smaller segments of three words max. If they exceed the width, I’ll shrink the font size from 54 down to 38 and clean up empty words and punctuation for better spacing. I’ll patch that up!", "finish_reason": "tool_calls", "reasoning_content": "**Adjusting subtitle display**\n\nI'm working on increasing or decreasing the window height to fit subtitles correctly. The current subtitle layout at y=1248 is clipped—so I might need to limit it to one line. I’ll reduce the y value and make it dynamic, breaking subtitles into smaller segments of three words max. If they exceed the width, I’ll shrink the font size from 54 down to 38 and clean up empty words and punctuation for better spacing. I’ll patch that up!", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqFTuyOvP1DH_ja1JstGGPJRmjibqFj7BjjtitOpOxTS9mpMq7bUNPlahXNNP2KSHFj6xh89xPHIfWuwWoMr1vb09R44QR34kYfZ2qefFXkD56-QWVG00XA-80NIxGOLkNwAaeHpgZ0CKGFADqJcXVn3bzqvhBApDqacrj72Ro1A5wChskoxhNPP1L5PVPi0oskYQzyGBKsoXIvPfRv6SxpnfWoFjFvE15igKJQitplW_X-EXEb8OkhovmtR3lc5Ql4bvTyjPUfs1mCOxUNdLnVDhf-8XJSShGZDfMdrj2LeH9cz9cRClFfbJGmae1dgOkw-rCQpGOun5IBxV7Bqbu0aeokCturKHoJaQERa5CvkTprl1qhicDO9nLwhVIg7jwswublRPrpLOs4VPx5mWIA3uKCGL9S3myLj8HZOS4CEVsVQ3LwiNWqQ4zob3m5p2K5OACFR0_2sAozO94ZjC2RbZcTlgdu1Q6F_xKw07LFbZW4jlKINw6yDT1Q7npw2YM9RlTc4PupzY83lkUu-CizVzpUCwnNQHwzjDU8diPwfdo-GqzybVW-LZN2W_lhz02PPuSCmdmTMVYo4rBJLPoJOzJ-QPcYmIMCeT_FWHd6tBGji5oPJHuaxBv_YlcLt2PzPvN5bj61_EhVL-WbNdFJjdd-6dWvUnI2EavY1EXegbEieOFdvKXemBQELAkQ0TbxlTafqQC9Zlq6Afr-2IyqNLeZM8Cs8-uGditsxQTOoIf8CAThxl_CDnSGd2akb6wI6kIwiSJhhnxIMcEj_YdZhEUlSUUraGMeB3uNQ65MBRLN9kRO2Mff4SZDWjmt2w-UaM0RiheRPxdUg_4IZG-uir2ozk22CftiU3M38nOh6rECWYN0q1LZaillFb4MacTmwb4eDvi2xl7AGC11rNxoj2q4pupptO0WBp42SbmKS-LU6GOtA8Pb28mVcaQhEAZGgWvHEke0Wia47EJMlJWMBsy4htL6DjUXDkWDJVV9ND0AQhttonYzYLRKlYeI7EDSVv94luRTBvlH3jXk5cfrbRCnBPhqctTPMV5Rr2ZAQf2az5p53aC_sCh9pjBpjlAjamhMCX0CboUGxjLw3FF-4JM5ZSEdEVyy_dq_jNusIT7HN9D1eHp9AYaQG2QGU4wCTzceR7Y8tG17ZB5NGis02tT9BdWdCFjuleoZNqVIqaJUicCjjtPn9Mnpdbmbj399eZwpgBK5yKmB4Lyub4qo_YSpDmZZiBxmJXsqXFdHUa56iaCFuP7F6gGaRonRPXbmu4KzYKPhzwSPwUO8c6XWKsEJEBedWqKBZ0oNF3jl3AEHsJ2dW43N3duc1GZB8uEYP1UxBUaOC_NqkFnEOWldafXDpx94JVALAMm4QsOryl5CZzh4asNupbeAE2vjWLU66cUVkONQ7AAjSBicoNXJiqBFQ89mb8OVRVexesp_2oz3v5uZU0wUv4fWVsOHmH8cfQdii37KDDg-NNOUd_SjRyZJzu0ulGCb1_UeR2GEBcDwGnDyM1HFvQjty4_sAJc6YhmOwF5KsGqQUGRT5UHInwdoiHJfIQ_MKk9SgWCBEZOfpVamvquVN0J_x2BZ30qb53PLIRZdBTZQLZPpxb9J1TDgYU6SZrdWh7a6PGAI3hIRJ54Xhv-CEyjQpnH_j5xo1nwNjhW-BNuO8ArAs21uzeDYpASszxiPIwCGUsbEAmh8u28XS_nmOQ8GSWso1J_xNl4fOcCrfCIlOCucczU1enEtzr31Zs8Y36yAGFp_ELYV5BFSZWkHkxu5vEaCR5LtVJKTYU5LG6XzAwzTQWmx7qHUX6BbBDDuP0nZEn-iXqD_1mOXcgciS3Qh2qcODoC_VRtUtvqLMjOpTa9z0_yF3iSDj7uJhWwd3PZbYQfrNclFrkbkIqjQa8hqUaOPq86bAHDLKdpfZtVtSxG0gQjoTJIfTw2vw-qNEczHH-z3l2SKPz4wRhIfZ4WJ0tXm43TYmC4UGzuWAYI8JJWy9D1d2ee6cLednaFjZF9fAgFZ9DEPU5PgeWejchp1K-uYUdDFLUHdXUq30zxTT2-UqgQicZ6P5dtKahXsxnK9Og18bb_20K0mqjNgS2AXjcUgchFgpBeEjigW6fe4ua9INAifSPI9Ylwf_h1IaFL4akvork7DvzLrPkhZdcPRew80iTB4n7-Fmns0pSNfiRzYSDkDnO2MaN8d7y63ARY9pjaB5K1E-FQ8mfoBvhExdD-KaUx1aVdvuMjJCOsg80cCd6KOxJyvlA7AJotqmQ4ab4abSjhgaUIM8XsdlxQYGmVogqRtrTBTHg1muK5PefKwjLAMnu6us4sd_xuFWHIivnRJ6gCQ1SmHZrX4Gz209h-8643WaWhSpCJEZpxSawBFMf-a-fGO7ojnB_xFlHnoUDPpLo11uwR9y7M9btaquMc-dPINJkraNf8bmRB_VuEve8EJi7akMV8_lgav73LAFKO5FSK5plLo5xde_IoQUoxfQ6YzMfkB1Jx5AeFMjDREsGpOl_GR1g4uEx0WJwfM1nIJbxyLHlBe45CxIgAJ0I2912bSqb_1sPGFzZbAbpENOUo68MuDI_Zo0EH8W4swJfZpzRe0PPb9bF2SGbvVfRCcznf7EdW1iSwWgQs2tkWyCFXAK8f29YoKEh7pFnvrIUF1Nuo5KwxnZVy9-VNsW_rrFySxCbXAVLsqIOpqMwvjmDiJnKfmh013V7zsxSSIlcKiPdnQtW12QG__ltXDM8KdHoFqFQrgLWRqSpmvkT_XaIGqTL45PFqLE6Ph6ioZMJ2Oz7mChQ=", "id": "rs_0653a96d40a8cbd5016a153ba87fe88191a72f7a852c41be94", "summary": [ { "type": "summary_text", "text": "**Adjusting subtitle display**\n\nI'm working on increasing or decreasing the window height to fit subtitles correctly. The current subtitle layout at y=1248 is clipped—so I might need to limit it to one line. I’ll reduce the y value and make it dynamic, breaking subtitles into smaller segments of three words max. If they exceed the width, I’ll shrink the font size from 54 down to 38 and clean up empty words and punctuation for better spacing. I’ll patch that up!" } ] } ], "tool_calls": [ { "id": "call_o5CdZVXo54t6etlI3bP4KHy5", "call_id": "call_o5CdZVXo54t6etlI3bP4KHy5", "response_item_id": "fc_0653a96d40a8cbd5016a153bb2ac8481918ae97d2551e4532c", "type": "function", "function": { "name": "patch", "arguments": "{\"mode\":\"patch\",\"patch\":\"*** Begin Patch\\n*** Update File: /home/agent/jarvis_runtime/AutoShortsBot/scripts/render_next_post_ai004.py\\n@@\\n- if len(current) >= 5 or token.endswith(('.', '?', '!')):\\n+ # Keep active-word caption groups compact on mobile. Four/five word groups\\n+ # are readable in theory but collide in 1080-wide Shorts once uppercased.\\n+ if len(current) >= 3 or token.endswith(('.', '?', '!')):\\n@@\\n- large = font(68, True)\\n+ large = font(58, True)\\n@@\\n- rounded(draw, [135, top, 945, top+280], 32, (15, 23, 42), (203, 213, 225), 2)\\n+ rounded(draw, [135, top, 945, top+310], 32, (15, 23, 42), (203, 213, 225), 2)\\n@@\\n- for j, line in enumerate(wrap_by_pixels(draw, main, large, 690)[:3]):\\n- draw.text((165, top+135+j*82), line, font=large, fill=(248, 250, 252))\\n+ for j, line in enumerate(wrap_by_pixels(draw, main, large, 690)[:3]):\\n+ draw.text((165, top+132+j*70), line, font=large, fill=(248, 250, 252))\\n@@\\n- base_y = top + 360\\n+ base_y = top + 385\\n@@\\n- for j, line in enumerate(wrap_by_pixels(draw, sub, med, 760)[:2]):\\n+ for j, line in enumerate(wrap_by_pixels(draw, sub, med, 760)[:2]):\\n w, _ = text_size(draw, line, med)\\n- draw.text(((WIDTH-w)//2, 1190 + j*58), line, font=med, fill=(15, 23, 42))\\n+ draw.text(((WIDTH-w)//2, 1168 + j*54), line, font=med, fill=(15, 23, 42))\\n@@\\n- words = [str(w[\\\"word\\\"]).strip() for w in seg]\\n- fnt = font(62, True)\\n+ words = [str(w[\\\"word\\\"]).strip() for w in seg if str(w[\\\"word\\\"]).strip()]\\n+ if not words:\\n+ return\\n+ fnt = font(62, True)\\n@@\\n- widths = [text_size(draw, w, fnt)[0] for w in words]\\n- gap = 18\\n- total = sum(widths) + gap * (len(words)-1)\\n+ gap = 22\\n+ max_total = WIDTH - 220\\n+ for size in range(62, 39, -2):\\n+ fnt = font(size, True)\\n+ widths = [text_size(draw, w, fnt)[0] for w in words]\\n+ total = sum(widths) + gap * (len(words)-1)\\n+ if total <= max_total:\\n+ break\\n*** End Patch\"}" } } ] }, { "role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/agent/jarvis_runtime/AutoShortsBot/scripts/render_next_post_ai004.py\\n+++ b//home/agent/jarvis_runtime/AutoShortsBot/scripts/render_next_post_ai004.py\\n@@ -120,7 +120,9 @@\\n for w in words:\\n current.append(w)\\n token = str(w[\\\"word\\\"])\\n- if len(current) >= 5 or token.endswith(('.', '?', '!')):\\n+ # Keep active-word caption groups compact on mobile. Four/five word groups\\n+ # are readable in theory but collide in 1080-wide Shorts once uppercased.\\n+ if len(current) >= 3 or token.endswith(('.', '?', '!')):\\n segments.append(current)\\n current = []\\n if current:\\n@@ -180,7 +182,7 @@\\n _, _, label, main, sub = scene\\n small = font(34, False)\\n med = font(48, True)\\n- large = font(68, True)\\n+ large = font(58, True)\\n card_x1, card_y1, card_x2, card_y2 = 90, 235, 990, 1265\\n rounded(draw, [card_x1, card_y1, card_x2, card_y2], 44, (248, 250, 252), (59, 130, 246), 4)\\n draw.text((115, 95), \\\"TrueTraceShorts\\\", font=font(36, True), fill=(226, 232, 240))\\n@@ -189,14 +191,14 @@\\n draw.text((140, card_y1+58), label, font=font(28, True), fill=(125, 211, 252))\\n # simulated prompt window\\n top = card_y1 + 150\\n- rounded(draw, [135, top, 945, top+280], 32, (15, 23, 42), (203, 213, 225), 2)\\n+ rounded(draw, [135, top, 945, top+310], 32, (15, 23, 42), (203, 213, 225), 2)\\n for i, c in enumerate([(248, 113, 113), (251, 191, 36), (34, 197, 94)]):\\n draw.ellipse([165+i*42, top+28, 190+i*42, top+53], fill=c)\\n draw.text((165, top+88), \\\"USER PROMPT\\\", font=font(27, True), fill=(148, 163, 184))\\n for j, line in enumerate(wrap_by_pixels(draw, main, large, 690)[:3]):\\n- draw.text((165, top+135+j*82), line, font=large, fill=(248, 250, 252))\\n+ draw.text((165, top+132+j*70), line, font=large, fill=(248, 250, 252))\\n # AI response/checklist cards\\n- base_y = top + 360\\n+ base_y = top + 385\\n items = [\\\"ASSUMPTIONS\\\", \\\"WEAK SPOTS\\\", \\\"ALTERNATIVES\\\", \\\"HUMAN DECISION\\\"]\\n active = min(len(items)-1, int(p * len(items)))\\n for i, item in enumerate(items):\\n@@ -210,20 +212,27 @@\\n # subline / rule\\n for j, line in enumerate(wrap_by_pixels(draw, sub, med, 760)[:2]):\\n w, _ = text_size(draw, line, med)\\n- draw.text(((WIDTH-w)//2, 1190 + j*58), line, font=med, fill=(15, 23, 42))\\n+ draw.text(((WIDTH-w)//2, 1168 + j*54), line, font=med, fill=(15, 23, 42))\\n \\n \\n def draw_subtitles(draw: ImageDraw.ImageDraw, seg, active: int):\\n if not seg:\\n return\\n- words = [str(w[\\\"word\\\"]).strip() for w in seg]\\n+ words = [str(w[\\\"word\\\"]).strip() for w in seg if str(w[\\\"word\\\"]).strip()]\\n+ if not words:\\n+ return\\n fnt = font(62, True)\\n pad_x, pad_y = 42, 28\\n y = 1485\\n # compute word positions centered\\n- widths = [text_size(draw, w, fnt)[0] for w in words]\\n- gap = 18\\n- total = sum(widths) + gap * (len(words)-1)\\n+ gap = 22\\n+ max_total = WIDTH - 220\\n+ for size in range(62, 39, -2):\\n+ fnt = font(size, True)\\n+ widths = [text_size(draw, w, fnt)[0] for w in words]\\n+ total = sum(widths) + gap * (len(words)-1)\\n+ if total <= max_total:\\n+ break\\n x = (WIDTH - total) // 2\\n box = [max(35, x-pad_x), y-pad_y, min(WIDTH-35, x+total+pad_x), y+90+pad_y]\\n rounded(draw, box, 32, (3, 7, 18), (59, 130, 246), 3)\\n\", \"files_modified\": [\"/home/agent/jarvis_runtime/AutoShortsBot/scripts/render_next_post_ai004.py\"], \"lint\": {\"/home/agent/jarvis_runtime/AutoShortsBot/scripts/render_next_post_ai004.py\": {\"status\": \"ok\", \"output\": \"\"}}}", "tool_call_id": "call_o5CdZVXo54t6etlI3bP4KHy5" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "call_uFmSlFvdGTUFNFeYtrl52Lp8", "call_id": "call_uFmSlFvdGTUFNFeYtrl52Lp8", "response_item_id": "fc_0653a96d40a8cbd5016a153bc2c10481919d91666d81aed915", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"python scripts/render_next_post_ai004.py\",\"timeout\":600,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"{\\n \\\"final\\\": \\\"/home/agent/jarvis_runtime/AutoShortsBot/data/post_candidates/ai-004-stop-asking-ai-to-think-for-you/ai-004_stop_asking_ai_to_think_for_you_1080x1920_review.mp4\\\",\\n \\\"package\\\": \\\"/home/agent/jarvis_runtime/AutoShortsBot/data/post_candidates/ai-004-stop-asking-ai-to-think-for-you/review_package.json\\\",\\n \\\"meta\\\": {\\n \\\"width\\\": 1080,\\n \\\"height\\\": 1920,\\n \\\"sample_aspect_ratio\\\": \\\"1:1\\\",\\n \\\"display_aspect_ratio\\\": \\\"9:16\\\",\\n \\\"frame_rate\\\": \\\"30/1\\\",\\n \\\"duration\\\": 35.064\\n },\\n \\\"sha256\\\": \\\"a183f517dd99a3f97aff5b983c92c6cf4db70804d8aab99cef0ce784ae6eab0a\\\"\\n}\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_uFmSlFvdGTUFNFeYtrl52Lp8" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "call_i3bXfWTh8enOHPqV8YXJzdef", "call_id": "call_i3bXfWTh8enOHPqV8YXJzdef", "response_item_id": "fc_0653a96d40a8cbd5016a153be9a4c8819192d0a7ac572c3ecc", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"ffmpeg -y -hide_banner -loglevel error -ss 12 -i data/post_candidates/ai-004-stop-asking-ai-to-think-for-you/ai-004_stop_asking_ai_to_think_for_you_1080x1920_review.mp4 -frames:v 1 data/post_candidates/ai-004-stop-asking-ai-to-think-for-you/qa_frame_00_12.png\\nffmpeg -y -hide_banner -loglevel error -ss 31 -i data/post_candidates/ai-004-stop-asking-ai-to-think-for-you/ai-004_stop_asking_ai_to_think_for_you_1080x1920_review.mp4 -frames:v 1 data/post_candidates/ai-004-stop-asking-ai-to-think-for-you/qa_frame_00_31.png\\npython - <<'PY'\\nimport json, subprocess, pathlib\\np='data/post_candidates/ai-004-stop-asking-ai-to-think-for-you/ai-004_stop_asking_ai_to_think_for_you_1080x1920_review.mp4'\\nprint(subprocess.check_output(['ffprobe','-v','error','-select_streams','v:0','-show_entries','stream=width,height,sample_aspect_ratio,display_aspect_ratio','-show_entries','format=duration','-of','json',p],text=True))\\nPY\",\"timeout\":60,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"{\\n \\\"programs\\\": [\\n\\n ],\\n \\\"streams\\\": [\\n {\\n \\\"width\\\": 1080,\\n \\\"height\\\": 1920,\\n \\\"sample_aspect_ratio\\\": \\\"1:1\\\",\\n \\\"display_aspect_ratio\\\": \\\"9:16\\\"\\n }\\n ],\\n \\\"format\\\": {\\n \\\"duration\\\": \\\"35.064000\\\"\\n }\\n}\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_i3bXfWTh8enOHPqV8YXJzdef" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "call_2OZ8KHmsTHTguVjImrBfRLhw", "call_id": "call_2OZ8KHmsTHTguVjImrBfRLhw", "response_item_id": "fc_0653a96d40a8cbd5016a153bf286cc8191868da471ef4103f3", "type": "function", "function": { "name": "vision_analyze", "arguments": "{\"image_url\":\"/home/agent/jarvis_runtime/AutoShortsBot/data/post_candidates/ai-004-stop-asking-ai-to-think-for-you/qa_frame_00_12.png\",\"question\":\"QA this revised 9:16 frame: are subtitles and UI text readable, not clipped, within safe zones, and no black bars/aspect distortion? Concise.\"}" } } ] }, { "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: QA this revised 9:16 frame: are subtitles and UI text readable, not clipped, within safe zones, and no black bars/aspect distortion? Concise." }, { "type": "image_url", "image_url": { "url": "data:image/png;base64,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" } } ], "tool_call_id": "call_2OZ8KHmsTHTguVjImrBfRLhw" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqFTv-_4YR5LVD-1HbzdxYhFD_JD2T2GJa46-7sD1sbNLX5SlHDCaYGckVwK13rJf5OOQYAjkqOTGyKynSwqOIPdPjT6VgHkW7vNWROhpVEmU47nqu2LOBf3btUBET5ss-pU5aT2X_FKasQmPympVt0ui2LKiJJqn3aYVvr2vkc5kz3m2C3O2ELqzpnch0UWKYSnIZ5x76cuZCV-AU8Ul5GPzHuM2sklBXjCdwEoYcx3sKd54Z7wqKL7n5_bBPy13gGfgvA-UiP5_mbvaQW1zVqW0JTFR8Y9ZQqQIrlc5zIbYB0EuT5W3Di-Pc8m0ljF-0lhalWwEW_zkQy-1fF_fn7VV3sSGBB2gHF-1yGSzXgC0lTShu6Sp63DAzPe1IV7SxYNSaGS9aKCDiIgvSTDZ6zNYMWfKmHCURo7AtBdcYmaYDb6aRdW3PvAgOIlj2BqFAYITcygfcVvI9szDaqpAefRP9J322EXplkg4bHjG9bGuSm4GPq2ALxABvBnxCbUo5fnV2HONNDuIH0A-wX8UQx8V93bZ3v41-YIc1u8xGjRlXiKaWSlo96Z-du8VQrmn4w84wJWM9oRlFDrZ7Zz0ckx6wb1sRo1hDKKrseE-lKBc5Ig79Ic11Gn8dSFTKFciuSiTwWz32l1B4U1QjqGGp7xNvshIjgUO3U6WrbaZ6UEUzLU_Uy1-trPRnOa4y8c1FhOBb2jcZq9-XDWlHqYE-3hYqwJEU6a1Aj0JMfik-ftLIATojmCPgrUD4-jhVsE-dzEmdvV5mVCuijqG0ItK5SWrWFlWNR8DevYpXV41y18B94lK8e5xKHGztfSM1DTdF6mDZGiorTpAB0I7fV27AbhTJFG3wa5AgnPWbfvi53lH0vEfYPzdhA3kq_F71VN8_v1oInL953uxfNRVJA2ZzkTXNYtYmSb3Ejx1nFBuY-R8BbgStWdSF-SM_Ab2fKpeO174S97Q-Is4Map-KRPbt_uONU5BfnMii7tHz_-IfCZUzBN49Tu67XumvOcK6eUGIshVbJfYefYbPiYD4A3uFE1S2-3yBEzG5gsLHPGFL4BY3j7zkh52HzMMMaEbuzUomCuUlAO6NwooUO-n_jNREIwhgRsRck_rZyWwUN_LfN-VvMdvqgg06vKwW-DMRk5_X7JbQ9lvhsN4gfY0zyj-kPRXLNgvqYZvPsjAU04qqmce-pIRA70h70RfIe5t_0PsVbAqFokI2Lyfa-M6rH8BuBtY2IfwBcS777sLJuTEiVd8FObXLMTwEH0tB1I-t7-geFY-OBe3K_9bu-7gVV6A5SR42dap5uX9LHVIBZ5tWn-a8HuPLOFkSkGsokpL7lkMPmNGveYmRe7Sd7cgcbiP9f2yjijoHWwAbdgJtqwfYuy5m3MsdtMUi42d3SeG3RShySsR7kPMwXpmepPtGDR5smtVCKnULc7PyqDyhI5RjhdChfSCRpkRQ87UF3qMwqcvUdVbIfWeDl8BykFeAPHFs1MHAmx66toqslGcFypWxqaMNMs17W-XTtjq7lL--zfZzv79_X0sqvcGf2atWuV7YfKqkOa_66X3il122v2xlUrkzzKFFRN_am_uRk_eP9Qq8Vctjpu55nd6r-iHo1oh5R6yka6YVpWRMjsoNXml__4bRgRdjoLrJV2GMlpULkPreNwQXSZhltBzrMLThS5XtYENJSFuQPWMhHg6Z4Ph1I4XP59zNz0EBtF7_X-CH0s2pjk5_VzIGOfEkpC4Pw6MkNSifYhTLeOM7-lIh-Mrs1FSPNMbS8VECbYalLSqYKMBtb0DFSObAmCt4RaDa1heHjDy_ffhN2JVGZjNP0Q3mHE5kspbgQDd183rJvyj1TimGBEiTsOLetQHAda-LszvTXfAA1GCf7KKC1XJ5bkLGQcYNQqYqTPU-stwrDNcxPBNOtNSbf8V9TWDPIZUnxl3X6ixkadVz3CXv3Kn2Cd3gyPDSWR_LZnkd96Jg4UYL0IyV5uG0DC69RiqWvYInEx9LOPCzYEGw2ChCMFoJaHmAqO1rko85UxD72gKIWY3nVBszj-BFsnZsU9RAv8TXrs0lnudxC34yqTwvOGQ_neZIZgKH-0QacafGJzj41Di5BBj_kFT3ZJL_fh_DhGd9umHhelUnhc1R87OWMTJsi8NLbpjASrfBrQcjKlIgffyF0McJbyXJiLSqb59cHTwQ9lN8VoTQweZuK70NaHT22HlkMy1WNtRWm6U8BWeA4BWGyAfEnxdYVk9E-6fwAHyrDTlAjfW3iTwwshcOTohZm1NZCFdHshaczJIhIr5zqn4UZsxoNrjeW1-i7jl3RMwjB6_G6KoZjQSCmLwMgqHM0HHCYj3FYLhT_PcEqQzYWm1ein9SRYTJLORXomDDTv-2A1pPlJgRkiHVOAkDCKQ08hIz86D-jI9U0kCNlpKYCnw5GVLUPMCRfWnprEOsttyaZyoLA4yyShVcbb46CoBuK7GlZUpz8CeagVN-mX-7PhdhwC3DM52rodLFDDn5gEeg6kE5LzFH93IAt5Boyy8ia2luYxGaZ6KSmkWXXCrwFQR7inUEK1OFNs_Rzd_rEu-0hJ8QbW07_H6bFTm1oiLA4uUJgCZn83M-y3BjO6jXy7mbA9NpU7VPeIcohu2DOPK2gK1TC9AEJbPd9noLkC1o2WsG40HhLEUfUtUQCG9hzprC8LuufmrOB2zmhqZo6hbM0SrHXV44240ESeLskPd_GgwPH9A5xLodmtzPJfUkOAJacaVzbMvtL6YAkTZC9XyarvzZwuAyAfQ-Sj7w_rQRYoW_UfBybfkrNlZUAy1Lkw0g33_Iqdjocb1G5ho44Nv-zT03s5yg8ioBsdo4n6-UNeNb0ml0QY0=", "id": "rs_0653a96d40a8cbd5016a153bf69dec81918c8b2eca32f236de", "summary": [] } ], "tool_calls": [ { "id": "call_FJkuDpf3btNRn00X3T8B6SuK", "call_id": "call_FJkuDpf3btNRn00X3T8B6SuK", "response_item_id": "fc_0653a96d40a8cbd5016a153bfea67c81919c2a602e5e801047", "type": "function", "function": { "name": "patch", "arguments": "{\"mode\":\"patch\",\"patch\":\"*** Begin Patch\\n*** Update File: /home/agent/jarvis_runtime/AutoShortsBot/scripts/render_next_post_ai004.py\\n@@\\n- # Keep active-word caption groups compact on mobile. Four/five word groups\\n- # are readable in theory but collide in 1080-wide Shorts once uppercased.\\n- if len(current) >= 3 or token.endswith(('.', '?', '!')):\\n+ # Keep active-word caption groups compact on mobile and avoid visually\\n+ # merging adjacent uppercased words.\\n+ if len(current) >= 2 or token.endswith(('.', '?', '!')):\\n@@\\n- small = font(34, False)\\n- med = font(48, True)\\n+ small = font(34, False)\\n+ med = font(48, True)\\n+ sub_font = font(42, True)\\n@@\\n- for j, line in enumerate(wrap_by_pixels(draw, sub, med, 760)[:2]):\\n- w, _ = text_size(draw, line, med)\\n- draw.text(((WIDTH-w)//2, 1168 + j*54), line, font=med, fill=(15, 23, 42))\\n+ for j, line in enumerate(wrap_by_pixels(draw, sub, sub_font, 760)[:2]):\\n+ w, _ = text_size(draw, line, sub_font)\\n+ draw.text(((WIDTH-w)//2, 1140 + j*48), line, font=sub_font, fill=(15, 23, 42))\\n@@\\n- gap = 22\\n+ gap = 40\\n*** End Patch\"}" } } ] }, { "role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/agent/jarvis_runtime/AutoShortsBot/scripts/render_next_post_ai004.py\\n+++ b//home/agent/jarvis_runtime/AutoShortsBot/scripts/render_next_post_ai004.py\\n@@ -120,9 +120,9 @@\\n for w in words:\\n current.append(w)\\n token = str(w[\\\"word\\\"])\\n- # Keep active-word caption groups compact on mobile. Four/five word groups\\n- # are readable in theory but collide in 1080-wide Shorts once uppercased.\\n- if len(current) >= 3 or token.endswith(('.', '?', '!')):\\n+ # Keep active-word caption groups compact on mobile and avoid visually\\n+ # merging adjacent uppercased words.\\n+ if len(current) >= 2 or token.endswith(('.', '?', '!')):\\n segments.append(current)\\n current = []\\n if current:\\n@@ -182,6 +182,7 @@\\n _, _, label, main, sub = scene\\n small = font(34, False)\\n med = font(48, True)\\n+ sub_font = font(42, True)\\n large = font(58, True)\\n card_x1, card_y1, card_x2, card_y2 = 90, 235, 990, 1265\\n rounded(draw, [card_x1, card_y1, card_x2, card_y2], 44, (248, 250, 252), (59, 130, 246), 4)\\n@@ -210,9 +211,9 @@\\n if i <= active:\\n draw.text((845, y+16), \\\"✓\\\", font=font(38, True), fill=(22, 163, 74))\\n # subline / rule\\n- for j, line in enumerate(wrap_by_pixels(draw, sub, med, 760)[:2]):\\n- w, _ = text_size(draw, line, med)\\n- draw.text(((WIDTH-w)//2, 1168 + j*54), line, font=med, fill=(15, 23, 42))\\n+ for j, line in enumerate(wrap_by_pixels(draw, sub, sub_font, 760)[:2]):\\n+ w, _ = text_size(draw, line, sub_font)\\n+ draw.text(((WIDTH-w)//2, 1140 + j*48), line, font=sub_font, fill=(15, 23, 42))\\n \\n \\n def draw_subtitles(draw: ImageDraw.ImageDraw, seg, active: int):\\n@@ -225,7 +226,7 @@\\n pad_x, pad_y = 42, 28\\n y = 1485\\n # compute word positions centered\\n- gap = 22\\n+ gap = 40\\n max_total = WIDTH - 220\\n for size in range(62, 39, -2):\\n fnt = font(size, True)\\n\", \"files_modified\": [\"/home/agent/jarvis_runtime/AutoShortsBot/scripts/render_next_post_ai004.py\"], \"lint\": {\"/home/agent/jarvis_runtime/AutoShortsBot/scripts/render_next_post_ai004.py\": {\"status\": \"ok\", \"output\": \"\"}}}", "tool_call_id": "call_FJkuDpf3btNRn00X3T8B6SuK" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "call_8TORM91p70a1aYzRQE8WgZii", "call_id": "call_8TORM91p70a1aYzRQE8WgZii", "response_item_id": "fc_0653a96d40a8cbd5016a153c0ab63c8191964f91abdf6ce8b0", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"python scripts/render_next_post_ai004.py && ffmpeg -y -hide_banner -loglevel error -ss 12 -i data/post_candidates/ai-004-stop-asking-ai-to-think-for-you/ai-004_stop_asking_ai_to_think_for_you_1080x1920_review.mp4 -frames:v 1 data/post_candidates/ai-004-stop-asking-ai-to-think-for-you/qa_frame_00_12.png && ffmpeg -y -hide_banner -loglevel error -ss 31 -i data/post_candidates/ai-004-stop-asking-ai-to-think-for-you/ai-004_stop_asking_ai_to_think_for_you_1080x1920_review.mp4 -frames:v 1 data/post_candidates/ai-004-stop-asking-ai-to-think-for-you/qa_frame_00_31.png\",\"timeout\":600,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"{\\n \\\"final\\\": \\\"/home/agent/jarvis_runtime/AutoShortsBot/data/post_candidates/ai-004-stop-asking-ai-to-think-for-you/ai-004_stop_asking_ai_to_think_for_you_1080x1920_review.mp4\\\",\\n \\\"package\\\": \\\"/home/agent/jarvis_runtime/AutoShortsBot/data/post_candidates/ai-004-stop-asking-ai-to-think-for-you/review_package.json\\\",\\n \\\"meta\\\": {\\n \\\"width\\\": 1080,\\n \\\"height\\\": 1920,\\n \\\"sample_aspect_ratio\\\": \\\"1:1\\\",\\n \\\"display_aspect_ratio\\\": \\\"9:16\\\",\\n \\\"frame_rate\\\": \\\"30/1\\\",\\n \\\"duration\\\": 35.064\\n },\\n \\\"sha256\\\": \\\"57f210fcb99c3e666baa8aa6168ad7658de19247eb085d3cab03ab3eabd4df4c\\\"\\n}\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_8TORM91p70a1aYzRQE8WgZii" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "call_UdA2uXcvceEAXE3uznz5csey", "call_id": "call_UdA2uXcvceEAXE3uznz5csey", "response_item_id": "fc_0653a96d40a8cbd5016a153c32e6b48191be9d013e3456605f", "type": "function", "function": { "name": "vision_analyze", "arguments": "{\"image_url\":\"/home/agent/jarvis_runtime/AutoShortsBot/data/post_candidates/ai-004-stop-asking-ai-to-think-for-you/qa_frame_00_12.png\",\"question\":\"QA final revised frame: subtitles and UI text readable/not clipped? Any black bars or squeezed aspect ratio?\"}" } } ] }, { "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: QA final revised frame: subtitles and UI text readable/not clipped? Any black bars or squeezed aspect ratio?" }, { "type": "image_url", "image_url": { "url": "data:image/png;base64,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" } } ], "tool_call_id": "call_UdA2uXcvceEAXE3uznz5csey" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqFTw_hRHT1s3xiSRun2LU_H8dxa8vsLAvb0VNW9xHH64lryg5ldjNKBFnoqYWY8Uf7QTLuzhG8IWDa7VwyeD_iz5mJRfICT-ukXem93vji7nN_kSEz3R-YdAToA0DP7f8QhBut1lLBGKFficMyRHvz2npo0jEfIbPh6HSkdGi3Arw1Z9RN_PNTGOSRB8LNai4V62Rtvqo3deE6Ve05pKJRAQf7EMY5Y2mQCDxsptJUKcuCITVzVrexMaBp7wurOsWnXGMadZe42CsMQl55GJVkWhLkerT37MISYLkALz0G1-SG7q1I3Ztieiq-OYGCqufWkrBXOvou4B8APzQiV92_8ZZk_zHFy7jRGtGy9kLvrW2_UnkJSCd7imNQwlV1hF-NUIZslJasbCzDlK850gq3iAAv6wj_wYGiet8xupF6ot06I-qc_9hSN-d0qRlxbtWKPejLn1d0g49oJEfVV5MBN5xKyIlwi6_2B0VxtKLTo_G1dxieTWZZk3wDp7xEbxxX-uiPt6b5CcqhiWftNtw7A4JU_PkPtE5vizhVVdWWMbvDfeSalrGvN5yTuJIF68QP1W9hawrbPac4s_g3BQPSgcuFVL-5-qm08XDwKW7fjThIrhIuTztjoTWUjOUqe0EuhCyo7-CquwY7LlIWbU628BbJHjBFzLyW_4wEv5cik0yexh84mSRBzCBP8PwgP6eDr2XLYQxkHNiRN0oOh548n2M0ddqK4tkJORKORXo3wWH6dLFyoTHemGQSjjWxToA7UIoF8IjlM2et2kRGT0G2M2C2nI9n0zWViRM1Ro3Om1dRETlYs-_NHtw2gYHgNim-Kub5z63S77jlQ5NXoJeOnyfMVg40sldv19dRnzZkxJXAZGAaRzfigRTgJouqVp9dboad-OeHIFqsLUY2yLsEbTJsFBa8PMKTKxObA6mxOPf4cGlZBVYwNqLE1oZ068Hi4N0Fg8LwspT_biaXOVRBDOe_7toPO0kIUGlWqyJWOfRV4hHgHmM1a61AAE5KPkUwTesV0TGUKspuNxhh6AGl4Xr2uFygySxuQWMCcNbnDgLyedPwQ7Ki-H9O7OnfSY8LPzbmQD6RYwuEAm0euMSNmm_Mji1sULnGxS9oDJ6IIp1Vs_rjZWg2KcpE4GJSp-FZ3HeSQDNVZFlzYyN_V--7vb_5Wc-3T3GOSOic70vBViXhoo1dgwknMggJMlxkiBaa7INWphPfF399nsXL9zO_g-W2kjOVXxRrME1RFVHg7TNi-vVkGAeJAy-eNTteGTZAHjWavJNPMdp43b-EV3QYnhKQFk3De_BH5jBkopjB0gajEte8pexdaFcO4TgBXyM53c_9O7nhdVP-B3SF2dq-HmDibLVky-FYT8IMcVS6QzlyZO2Szwby8JI7Km5O74ywmN3PF3_3ABDmDA2q9LMNWR6NZKov60tL1kpjyLenqEpg4wTXc6psRorvEd-fZ1KssQByEhoD7yPBnSLQ4XHtZ7hc7yJ0ANk35lDaQ3yO63J4si1-fjH9nRnam_Riz4nG-iMrfHaB4PHMnGhLdjb8tATcQ2OgZsrHipGa2yAyLiKd7OP33ESgHvWHxkZ4eBH9hadcjupydBLqi3eDQXZcHj5FIhCUXxtlkOF4qsg3g0fpCa1jgsqPBtkqc7vqtijuxZOGTCN12l1f1aR29uMgBjvaXdOu4KHHit6TtlHeVD5yPWcVDCeZ5qHO9Eh6NDoA4SKNShtGevFA6ehFFETS0IWOQXKeQ7NfaJyEDw8yt7Ut1lRNEMYRLjeEFgD9SfBv_gbyTKHV8ZK2RJ3mClLYmv-EIAflA94ohgVAyLexjWvvvx573fzsqmQIuqHmXVPc3NnHMCb_gxvrUhOtMeUXBjlXga0yJTuhYuPRgYoTAaD-oRLtZXerNhcbaDBsbPHjP76mnhmjLEjIGXHsHSVmL1BlwNfmwmmIzal_Y0RBBosnc3fD9Ofawt07jbJh0No0udTfUBmp55YZEWeZDvqXivfjKCmK-oTDc3wlymoTgYhuRI-xmV_jCJlgz6Mm0GHZkNfyQVWpapGHBvr9xs_uiDOyLOY5UcgXLsFEYVogGyHFjIdf7cJpgrTn5HE2HgqOU38x91tA2tsVtouduwl3ahEh-9kBErxjVILLRNC3dAR-N4Lt3-UEXPFhzOycOnVEV8TzhRVE8e2Sr0BhW5RR-D-HpjZ-NQdnwvfiOIhGDkqqrw4mOsrnqWsHWxJnbf7_RZunrKAPH7UWg2GxIIA2NlU8OKjBumul8jyDeqVz7nMVxg7iqlWqPnCPIJkkg8JLCqvZFBO_dqz8bK6AMahA4gz1klxJ7Zm6gComuStAwzzXYcy3RwQhX8CDFDGO1qLKlB8VKURO5JcJOq6wMmjjrZuOpGjKsTtDgsZiL0HC-m2KJT8wYtZ6RXynuGT2I8MOrueMySvMPXVQhHgDHkJFOXD_o2QN-3aJAlAf3CQKEg5IdRNmvxE-V4qGCsnkMEXRne28yvpjS9gUMUPG_8BQsjStdMC9FnXXchQxNq3FSklhr0ZUadZZJesT8gRuU3ElrPTgZkdE_mJjwtwky9zXgoSIjLjF3JplT-dnQeUYv48xyGD-koxpPk7X6h7bl-iTAut48WJoHJE7oXDESpRfFwRQf58DpE2hUUewN4GURqqUdG5yVP-XeO0I2pfQoiQ6G4CrL1ph3UjOUz-xo9WQslC-ro3J4CUmzQC_F2UX-oHrcK_ZjKSxLJCoc-dDa9eYLhhhiqWm8K8rlYyycFFAmRSpDh6jXhmnDUjfcAA3Zdzn0wWBDgVMmVQ5fB26wnHB6L1o4GuWLy4zaU1np_ssgzgMgVbdlvLgwTclxA-h9GEB72wBVLV70Rs1enMc_-3t22vwmRzgoJc9uo59_bfF7paGbpcLHPoOMYKcEkpW-t3bUOymbi54O5lGQigKJTw0X8XPQLy3SWOr_igZuUHgxb34xLuYCXinTVPmqvm17IXCW1eFGkkY3D69Pjp1jkKkbVX", "id": "rs_0653a96d40a8cbd5016a153c36bbcc8191b5e600de6c5da82a", "summary": [] } ], "tool_calls": [ { "id": "call_obdU58rgL0fQk69UgPBWtbrj", "call_id": "call_obdU58rgL0fQk69UgPBWtbrj", "response_item_id": "fc_0653a96d40a8cbd5016a153c3fd38c8191ac21fb830d1ec17c", "type": "function", "function": { "name": "patch", "arguments": "{\"mode\":\"patch\",\"patch\":\"*** Begin Patch\\n*** Update File: /home/agent/jarvis_runtime/AutoShortsBot/scripts/render_next_post_ai004.py\\n@@\\n- for j, line in enumerate(wrap_by_pixels(draw, sub, sub_font, 760)[:2]):\\n+ sub_lines = wrap_by_pixels(draw, sub, sub_font, 760)[:2]\\n+ sub_start_y = 1188 if len(sub_lines) == 1 else 1138\\n+ for j, line in enumerate(sub_lines):\\n w, _ = text_size(draw, line, sub_font)\\n- draw.text(((WIDTH-w)//2, 1140 + j*48), line, font=sub_font, fill=(15, 23, 42))\\n+ draw.text(((WIDTH-w)//2, sub_start_y + j*48), line, font=sub_font, fill=(15, 23, 42))\\n@@\\n- fnt = font(62, True)\\n+ fnt = font(52, True)\\n@@\\n- gap = 40\\n+ gap = 74\\n max_total = WIDTH - 220\\n- for size in range(62, 39, -2):\\n+ for size in range(52, 37, -2):\\n*** End Patch\"}" } } ] }, { "role": "tool", "name": "patch", "content": "{\"success\": true, \"diff\": \"--- a//home/agent/jarvis_runtime/AutoShortsBot/scripts/render_next_post_ai004.py\\n+++ b//home/agent/jarvis_runtime/AutoShortsBot/scripts/render_next_post_ai004.py\\n@@ -211,9 +211,11 @@\\n if i <= active:\\n draw.text((845, y+16), \\\"✓\\\", font=font(38, True), fill=(22, 163, 74))\\n # subline / rule\\n- for j, line in enumerate(wrap_by_pixels(draw, sub, sub_font, 760)[:2]):\\n+ sub_lines = wrap_by_pixels(draw, sub, sub_font, 760)[:2]\\n+ sub_start_y = 1188 if len(sub_lines) == 1 else 1138\\n+ for j, line in enumerate(sub_lines):\\n w, _ = text_size(draw, line, sub_font)\\n- draw.text(((WIDTH-w)//2, 1140 + j*48), line, font=sub_font, fill=(15, 23, 42))\\n+ draw.text(((WIDTH-w)//2, sub_start_y + j*48), line, font=sub_font, fill=(15, 23, 42))\\n \\n \\n def draw_subtitles(draw: ImageDraw.ImageDraw, seg, active: int):\\n@@ -222,13 +224,13 @@\\n words = [str(w[\\\"word\\\"]).strip() for w in seg if str(w[\\\"word\\\"]).strip()]\\n if not words:\\n return\\n- fnt = font(62, True)\\n+ fnt = font(52, True)\\n pad_x, pad_y = 42, 28\\n y = 1485\\n # compute word positions centered\\n- gap = 40\\n+ gap = 74\\n max_total = WIDTH - 220\\n- for size in range(62, 39, -2):\\n+ for size in range(52, 37, -2):\\n fnt = font(size, True)\\n widths = [text_size(draw, w, fnt)[0] for w in words]\\n total = sum(widths) + gap * (len(words)-1)\\n\", \"files_modified\": [\"/home/agent/jarvis_runtime/AutoShortsBot/scripts/render_next_post_ai004.py\"], \"lint\": {\"/home/agent/jarvis_runtime/AutoShortsBot/scripts/render_next_post_ai004.py\": {\"status\": \"ok\", \"output\": \"\"}}}", "tool_call_id": "call_obdU58rgL0fQk69UgPBWtbrj" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "call_wr3kczIrpfZRk1xmfzcwsDfG", "call_id": "call_wr3kczIrpfZRk1xmfzcwsDfG", "response_item_id": "fc_0653a96d40a8cbd5016a153c4a2da08191952000bd4c581a3f", "type": "function", "function": { "name": "terminal", "arguments": "{\"command\":\"python scripts/render_next_post_ai004.py && ffmpeg -y -hide_banner -loglevel error -ss 12 -i data/post_candidates/ai-004-stop-asking-ai-to-think-for-you/ai-004_stop_asking_ai_to_think_for_you_1080x1920_review.mp4 -frames:v 1 data/post_candidates/ai-004-stop-asking-ai-to-think-for-you/qa_frame_00_12.png && ffmpeg -y -hide_banner -loglevel error -ss 31 -i data/post_candidates/ai-004-stop-asking-ai-to-think-for-you/ai-004_stop_asking_ai_to_think_for_you_1080x1920_review.mp4 -frames:v 1 data/post_candidates/ai-004-stop-asking-ai-to-think-for-you/qa_frame_00_31.png\",\"timeout\":600,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}" } } ] }, { "role": "tool", "name": "terminal", "content": "{\"output\": \"{\\n \\\"final\\\": \\\"/home/agent/jarvis_runtime/AutoShortsBot/data/post_candidates/ai-004-stop-asking-ai-to-think-for-you/ai-004_stop_asking_ai_to_think_for_you_1080x1920_review.mp4\\\",\\n \\\"package\\\": \\\"/home/agent/jarvis_runtime/AutoShortsBot/data/post_candidates/ai-004-stop-asking-ai-to-think-for-you/review_package.json\\\",\\n \\\"meta\\\": {\\n \\\"width\\\": 1080,\\n \\\"height\\\": 1920,\\n \\\"sample_aspect_ratio\\\": \\\"1:1\\\",\\n \\\"display_aspect_ratio\\\": \\\"9:16\\\",\\n \\\"frame_rate\\\": \\\"30/1\\\",\\n \\\"duration\\\": 35.064\\n },\\n \\\"sha256\\\": \\\"4503c32a0ec14b739b531b324bb78fb086d4bf74174b88d3e7394e2c99f7f42e\\\"\\n}\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_wr3kczIrpfZRk1xmfzcwsDfG" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "call_0hlW8MzYm3ln8pu385KCnG9w", "call_id": "call_0hlW8MzYm3ln8pu385KCnG9w", "response_item_id": "fc_0653a96d40a8cbd5016a153c7caea88191bf26e41adec0ec8a", "type": "function", "function": { "name": "vision_analyze", "arguments": "{\"image_url\":\"/home/agent/jarvis_runtime/AutoShortsBot/data/post_candidates/ai-004-stop-asking-ai-to-think-for-you/qa_frame_00_12.png\",\"question\":\"Final QA: are subtitles readable enough with visible spacing? Is UI text clipped? Any black bars or aspect distortion? Concise.\"}" } } ] }, { "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: Final QA: are subtitles readable enough with visible spacing? Is UI text clipped? Any black bars or aspect distortion? Concise." }, { "type": "image_url", "image_url": { "url": "data:image/png;base64,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" } } ], "tool_call_id": "call_0hlW8MzYm3ln8pu385KCnG9w" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqFTyH0teXnErLZQCAnpJI6LAwAtVJl9Hp5W_euAkLk1AUt8NJSDHTlHJUQyjvuorLdYXTCF-snDygklRkMa7ZX9dnfoeGPDl74XqYoWDNJZkNgTtsjaLb9Bc2l5xHqLVhjb8X79XUAK1ZidYqdTXA6eeNqgQoVWJ3bLHskbCNnVwMvciTj1PlVj9UbiJ9ZBO_JV8WisF5Z9cG7GSKlNtmG_-XsHSBpxhYNQ2n2L332aoFNb32kMKETNZgFpd-RW_5EFtG4yLlO3ieVODYMKI2VCDYEDp9Y7m4QvU-e5hWy2VaxD7rJy3e1_DSTppVHEUpBZkoFt0If11070zDQofOBgcX984UnfTIYJv3cwmyMGhQmL4o2jpG2IgwWTKZdESEq9aJ1K13xxfBYVAAl-71kCUL0PGtnzj_ffN2iVif8yKIOXKIq8MUHCSQ3di1GN-S7sL2ePvc81UZMc2NkTC3B6x2a4_p7QVJaiTFKMieuI5w5oRUmE_9szGFNOkEZnxoGp0rV3HXNXqbe7Z_dCw_GacM9ycvs42nGjjgZM776Cjh_iyyGLlOJVJl5FJb3HoEQmagzpc1UbMBSld4EnkW3_I7ZElFZeSH7qFnT9BjPggO7IWB6PV3HADLgxEvQU0c2LTWLz86Ief8pLNTbS4TQax8CC5UMOPV-YSiAW1I5brfC97rW8LG53bIGMtmkAIg-pif5sb8VxpUSqXfVJx59LOk9fKeqbxMhcAtCyeHUwEH1RO3yFnkzOdhpm65U6A7IORmUICXTxXalyzM9jLK-3K2RaSHFnojgODMhxad3uRIpbysxgN6qTZ_60yHTpUfmH4EfMJifhAIGefyKRVTm-svKSPZY2SE0cuhLs7mAF-35UpoZ1OoaEFmbT982l-7AC3MfGPakdIUpDirFpZZCv8iXNhN6cEtatBqCs8Wb6Z8nNXoyXWVc4qrTCyeROwDt7IrslR0Zru5wpNofqC27pI1iQ==", "id": "rs_0653a96d40a8cbd5016a153c866f28819197925ba2d054b1e9", "summary": [] } ], "tool_calls": [ { "id": "call_AcD1yIyfzwxQFgsvphkxLpbJ", "call_id": "call_AcD1yIyfzwxQFgsvphkxLpbJ", "response_item_id": "fc_0653a96d40a8cbd5016a153c87236c8191878d0396303bf395", "type": "function", "function": { "name": "vision_analyze", "arguments": "{\"image_url\":\"/home/agent/jarvis_runtime/AutoShortsBot/data/post_candidates/ai-004-stop-asking-ai-to-think-for-you/qa_frame_00_31.png\",\"question\":\"QA the final-rule frame: is the rule visual visible/readable and not clipped? Any black bars/aspect distortion?\"}" } } ] }, { "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: QA the final-rule frame: is the rule visual visible/readable and not clipped? Any black bars/aspect distortion?" }, { "type": "image_url", "image_url": { "url": "data:image/png;base64,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" } } ], "tool_call_id": "call_AcD1yIyfzwxQFgsvphkxLpbJ" }, { "role": "assistant", "content": "", "reasoning": "**Reviewing package requirements**\n\nI’m considering if I need to match the JSON hash after regeneration since it doesn't change with QA extraction. Maybe I should read the package hash and update the todo list. Running tests could be necessary since we added a script but no tests yet. I need to ensure the final version, especially the media, gets approved in German, while keeping the information about the published status private. Also, I might include the MEDIA path and relevant commands.", "finish_reason": "tool_calls", "reasoning_content": "**Reviewing package requirements**\n\nI’m considering if I need to match the JSON hash after regeneration since it doesn't change with QA extraction. Maybe I should read the package hash and update the todo list. Running tests could be necessary since we added a script but no tests yet. I need to ensure the final version, especially the media, gets approved in German, while keeping the information about the published status private. Also, I might include the MEDIA path and relevant commands.", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqFTyRZs4qGK8rxmKTQJ9hbZRCbCU77AuG52bYm25HZ5w20DnCu7dHmb_EF3nYNRD4OCjQUL4xT0XOdIL8vZlYgpoKBijXGKhM51mXQhtLC-TQN2vp2ZzAp3lbJHz6DPE64DPBWA9QhOX-RY18Oy1ZPkHWGoKCxpAk6L_YY3QTxTgnDiOUyPSUlPtFeT0HsuPT8wnuQBaCxX4XPt4UcnEU0y9Z0wl8-gQ4miSfBdzkR4AqZUPEYt57gtW5AAUnKJU4QymJkkGZ_t-rTd4U7hl8t2aHvSLX1Anp6PUhOpHTPcrt5d4F4XiYNLrejDam-JjMpiEMUAMNzt1FHfUwZIACyVf64Vm_lM4FyDpk8O_8qa83uHIuZXnEbo-ABMizWwWCxG4iYus03_HrQvZB9YfLwrSjg2XQVPkUNzc-FuPwX3a-ikXfgdldIiREUATHUYf566lMLWq3H-TZo8J8uz6GxL8ED5gIBNZHNFseyos078ahrtdGUGK7iOvG3XVJemujSQuKyQMGZOU41CoRE8QBvaQmZQnAXCxwq_Hxg02rzvqDsC7JEysQqjGmf2jUjfZ-JDqLRFhwfgg9XpU3nVo9Io2NJ83CNr0d4uqVnR6ivRGspUaNPlXOIjffQLGfLfWiKO0352Z7rgdQPlKtk8kvjBHIPgg00WKtEiYy_lNGGRClD4vVZWtwiRRoBof5RsrjJ0DBxJyo4QkRnVWSwCPdggKCEDL2knCEBjhyNfh9PuS0FX9m5TvXIGfPMMRQTcozwS48rF2JUjAd23hhzo6fu3IcGJUT1F8M-XBBlMPEzRPRkCoNf4w0wGPoiDJCJprHSoqpPlgcjg274dXm6OByGzDAw6ZWz9S3lMzkj2IOtVj85CnoaxjykW7kFRNlnyYxq4d8PtjXbuO-5B_eVszvPgA9GHeFwwVBC6mSABvYH5vQMxjSzEJjQ7TTJLcViXCBBXnC_ScVxFFXt-YVAzfb7AMmzvLHuVLooy9hZvL8nFaLHidH9Q_1zF0RRbEjIXPjh2O21A4G4gccyOKzfhE02FV1zTyaP-JLJQK66SmvYBMuttWeLI3tsl8Dc_0tYJPvaT5iCoCp4gN5Lp3ji0UPQR-CTnt2dvjbKdlnm2dzxDQkR-_yIVY25Mz--cVJ19gzuJoAHHqBgy22mIN-MTzOEVmzKNYKrJ0CxboaaBo6jcQ-YMloTpJ9uxS9Nygrl0DTucK_330LO6uOAjA3lwcRxVc_YfTkLYB02jTKdRLeJXb-mgbZKFURupDptm7K5Y15_xqtaI615RqtWj_omcQO5e18kBQEimQYF3o1MjIQopc2U0zoLWb9P9J6zBJ4fld8zFdc_ET5Rh7N9AljmzALrHNSmWspnnASEHHNC8oDBe6AwiYfox6UNl34EqdENHJg7eOFFp2MmQRsoLGWJcFdlVCG5BpCpUzOK3oSZc3hmSMmx3QnTp6pTUYm9ZLN6SUCbSkCrejJrfS845zr3T5wisCdsULjC3y6271D5VJT9p0H7aiAUIR8ukdJPK9Oj7d7aU0_YSqK-89jz5D2USXZgqsNU2A0T7qLz4CKsqcAwJebPwbF0SxbXZpCiS-xj5Ul_IVNpdhz4mEre0uScKqcqUQFq7MnDTC9GrxqNBq1EoEKTuw1OospivgZ4KHE9E8xv1kv1S5cKpwW0rgz28BxzaS5j6DHYb0kvmpjlvSmleLtHRvhU9p5V1VBoWbEdaKy95Fv", "id": "rs_0653a96d40a8cbd5016a153c8cf08c81918263f0f580b2fb05", "summary": [ { "type": "summary_text", "text": "**Reviewing package requirements**\n\nI’m considering if I need to match the JSON hash after regeneration since it doesn't change with QA extraction. Maybe I should read the package hash and update the todo list. Running tests could be necessary since we added a script but no tests yet. I need to ensure the final version, especially the media, gets approved in German, while keeping the information about the published status private. Also, I might include the MEDIA path and relevant commands." } ] } ], "tool_calls": [ { "id": "call_ixWwh4HhcnHkNPpgCliuIYPC", "call_id": "call_ixWwh4HhcnHkNPpgCliuIYPC", "response_item_id": "fc_0653a96d40a8cbd5016a153c9151e48191b8f59d5e4205c217", "type": "function", "function": { "name": "todo", "arguments": "{\"merge\":true,\"todos\":[{\"content\":\"Nächsten Post-Kandidaten auswählen und Produktionsartefakte vorbereiten\",\"id\":\"prepare\",\"status\":\"completed\"},{\"content\":\"9:16/Audio/Subtitles/QA verifizieren und Review-Package liefern\",\"id\":\"qa\",\"status\":\"completed\"}]}" } } ] }, { "role": "tool", "name": "todo", "content": "{\"todos\": [{\"id\": \"inspect\", \"content\": \"Repo-Zustand und nächste verfügbare Video-Kandidaten prüfen\", \"status\": \"completed\"}, {\"id\": \"prepare\", \"content\": \"Nächsten Post-Kandidaten auswählen und Produktionsartefakte vorbereiten\", \"status\": \"completed\"}, {\"id\": \"qa\", \"content\": \"9:16/Audio/Subtitles/QA verifizieren und Review-Package liefern\", \"status\": \"completed\"}], \"summary\": {\"total\": 3, \"pending\": 0, \"in_progress\": 0, \"completed\": 3, \"cancelled\": 0}}", "tool_call_id": "call_ixWwh4HhcnHkNPpgCliuIYPC" }, { "role": "assistant", "content": "Erledigt, Sir. Ich habe als nächsten Post-Kandidaten **ai-004 — “Stop asking AI to think for you”** vorbereitet.\n\nMEDIA:/home/agent/jarvis_runtime/AutoShortsBot/data/post_candidates/ai-004-stop-asking-ai-to-think-for-you/ai-004_stop_asking_ai_to_think_for_you_1080x1920_review.mp4\n\n**Status:** Review-/Freigabe-Version, noch nicht gepostet.\n\n**QA geprüft:**\n- Format: **1080×1920**\n- SAR: **1:1**\n- DAR: **9:16**\n- FPS: **30**\n- Dauer: **35.064s**\n- Keine schwarzen Balken / kein zusammengedrücktes Bild\n- UI-Text und aktive Wort-Untertitel geprüft\n- Finalsprache: **Englisch**\n- Voice: `en-GB-RyanNeural`\n- Posting-Side-Effects: **keine**\n\n**SHA256:** \n`4503c32a0ec14b739b531b324bb78fb086d4bf74174b88d3e7394e2c99f7f42e`\n\n**Caption-Vorschlag:** \nAI is more useful as a critic than as a guru.\n\n**Hashtags:** \n`#AI #Productivity #Workflow #DecisionMaking #TrueTraceShorts`\n\n**Freigabe-Befehle:**\n- `Freigabe YouTube`\n- `Freigabe TikTok`\n- `Freigabe Instagram`\n- `Freigabe alle`\n- `Ablehnen`\n- `Ändern: `\n\nReview-Package liegt hier: \n`/home/agent/jarvis_runtime/AutoShortsBot/data/post_candidates/ai-004-stop-asking-ai-to-think-for-you/review_package.json`", "reasoning": null, "finish_reason": "stop", "codex_message_items": [ { "type": "message", "role": "assistant", "status": "completed", "content": [ { "type": "output_text", "text": "Erledigt, Sir. Ich habe als nächsten Post-Kandidaten **ai-004 — “Stop asking AI to think for you”** vorbereitet.\n\nMEDIA:/home/agent/jarvis_runtime/AutoShortsBot/data/post_candidates/ai-004-stop-asking-ai-to-think-for-you/ai-004_stop_asking_ai_to_think_for_you_1080x1920_review.mp4\n\n**Status:** Review-/Freigabe-Version, noch nicht gepostet.\n\n**QA geprüft:**\n- Format: **1080×1920**\n- SAR: **1:1**\n- DAR: **9:16**\n- FPS: **30**\n- Dauer: **35.064s**\n- Keine schwarzen Balken / kein zusammengedrücktes Bild\n- UI-Text und aktive Wort-Untertitel geprüft\n- Finalsprache: **Englisch**\n- Voice: `en-GB-RyanNeural`\n- Posting-Side-Effects: **keine**\n\n**SHA256:** \n`4503c32a0ec14b739b531b324bb78fb086d4bf74174b88d3e7394e2c99f7f42e`\n\n**Caption-Vorschlag:** \nAI is more useful as a critic than as a guru.\n\n**Hashtags:** \n`#AI #Productivity #Workflow #DecisionMaking #TrueTraceShorts`\n\n**Freigabe-Befehle:**\n- `Freigabe YouTube`\n- `Freigabe TikTok`\n- `Freigabe Instagram`\n- `Freigabe alle`\n- `Ablehnen`\n- `Ändern: `\n\nReview-Package liegt hier: \n`/home/agent/jarvis_runtime/AutoShortsBot/data/post_candidates/ai-004-stop-asking-ai-to-think-for-you/review_package.json`" } ], "id": "msg_0653a96d40a8cbd5016a153c952bd88191952a7f1bd9a00923", "phase": "final_answer" } ] }, { "role": "user", "content": "Review the conversation above and update the skill library. Be ACTIVE — most sessions produce at least one skill update, even if small. A pass that does nothing is a missed learning opportunity, not a neutral outcome.\n\nTarget shape of the library: CLASS-LEVEL skills, each with a rich SKILL.md and a `references/` directory for session-specific detail. Not a long flat list of narrow one-session-one-skill entries. This shapes HOW you update, not WHETHER you update.\n\nSignals to look for (any one of these warrants action):\n • User corrected your style, tone, format, legibility, or verbosity. Frustration signals like 'stop doing X', 'this is too verbose', 'don't format like this', 'why are you explaining', 'just give me the answer', 'you always do Y and I hate it', or an explicit 'remember this' are FIRST-CLASS skill signals, not just memory signals. Update the relevant skill(s) to embed the preference so the next session starts already knowing.\n • User corrected your workflow, approach, or sequence of steps. Encode the correction as a pitfall or explicit step in the skill that governs that class of task.\n • Non-trivial technique, fix, workaround, debugging path, or tool-usage pattern emerged that a future session would benefit from. Capture it.\n • A skill that got loaded or consulted this session turned out to be wrong, missing a step, or outdated. Patch it NOW.\n\nPreference order — prefer the earliest action that fits, but do pick one when a signal above fired:\n 1. UPDATE A CURRENTLY-LOADED SKILL. Look back through the conversation for skills the user loaded via /skill-name or you read via skill_view. If any of them covers the territory of the new learning, PATCH that one first. It is the skill that was in play, so it's the right one to extend.\n 2. UPDATE AN EXISTING UMBRELLA (via skills_list + skill_view). If no loaded skill fits but an existing class-level skill does, patch it. Add a subsection, a pitfall, or broaden a trigger.\n 3. ADD A SUPPORT FILE under an existing umbrella. Skills can be packaged with three kinds of support files — use the right directory per kind:\n • `references/.md` — session-specific detail (error transcripts, reproduction recipes, provider quirks) AND condensed knowledge banks: quoted research, API docs, external authoritative excerpts, or domain notes you found while working on the problem. Write it concise and for the value of the task, not as a full mirror of upstream docs.\n • `templates/.` — starter files meant to be copied and modified (boilerplate configs, scaffolding, a known-good example the agent can `reproduce with modifications`).\n • `scripts/.` — statically re-runnable actions the skill can invoke directly (verification scripts, fixture generators, deterministic probes, anything the agent should run rather than hand-type each time).\n Add support files via skill_manage action=write_file with file_path starting 'references/', 'templates/', or 'scripts/'. The umbrella's SKILL.md should gain a one-line pointer to any new support file so future agents know it exists.\n 4. CREATE A NEW CLASS-LEVEL UMBRELLA SKILL when no existing skill covers the class. The name MUST be at the class level. The name MUST NOT be a specific PR number, error string, feature codename, library-alone name, or 'fix-X / debug-Y / audit-Z-today' session artifact. If the proposed name only makes sense for today's task, it's wrong — fall back to (1), (2), or (3).\n\nUser-preference embedding (important): when the user expressed a style/format/workflow preference, the update belongs in the SKILL.md body, not just in memory. Memory captures 'who the user is and what the current situation and state of your operations are'; skills capture 'how to do this class of task for this user'. When they complain about how you handled a task, the skill that governs that task needs to carry the lesson.\n\nIf you notice two existing skills that overlap, note it in your reply — the background curator handles consolidation at scale.\n\nDo NOT capture (these become persistent self-imposed constraints that bite you later when the environment changes):\n • Environment-dependent failures: missing binaries, fresh-install errors, post-migration path mismatches, 'command not found', unconfigured credentials, uninstalled packages. The user can fix these — they are not durable rules.\n • Negative claims about tools or features ('browser tools do not work', 'X tool is broken', 'cannot use Y from execute_code'). These harden into refusals the agent cites against itself for months after the actual problem was fixed.\n • Session-specific transient errors that resolved before the conversation ended. If retrying worked, the lesson is the retry pattern, not the original failure.\n • One-off task narratives. A user asking 'summarize today's market' or 'analyze this PR' is not a class of work that warrants a skill.\n\nIf a tool failed because of setup state, capture the FIX (install command, config step, env var to set) under an existing setup or troubleshooting skill — never 'this tool does not work' as a standalone constraint.\n\n'Nothing to save.' is a real option but should NOT be the default. If the session ran smoothly with no corrections and produced no new technique, just say 'Nothing to save.' and stop. Otherwise, act.\n\nYou can only call memory and skill management tools. Other tools will be denied at runtime — do not attempt them." }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqFTyqclxaMeTPDOuVfq7U_9T-2Z_LBaTc7IwwR0TMp3fRd_Uge7KpGelt1JC0Nq-109nNAHZV1uSI_kuOhJK4gqV0y8rLTRg_QePOiiPWSzU2csWCPCSjHnWumN3qs9Z4-c7EYD-R6N21nfse4UPfgKe-4uilP8FdZY123-IC9DFOTxw0bx1LSk3pDsp9F47QoFEL1urvYrm5N8NOE7eDP4kG8KOHfTYAX71RnatV7c2Kp86YIsjZxYw74jambCAH9yZ1rNu6zVE1Np-PpoJl5WeNXLkDt3zhU7xSuQdmZjzsBWai8pFZnCUi3n2irWq_Q3V0LDQB2oamglSbh4dhQrXYUVeyxwJMYXWkHaveRR5NEdcNJP6WxQA2lYZvw7qhLOkxOHJv_ZD6mnJwin1wwL-pBtjWTnFlVuaONjVdu4171Wg3iTBtZD1Lkhtyng1As06Z3lq_i0hoWiq10EpO0lzcYd5gQ_Z_j4nBwyo_Z5vSXCAlyLsffmczM4_cVPjuQKHVRJK1PVKbyPlbdXPv05fpq2PnNdIzd0BgQDmQBLURDTfr125CgCsZci68gt0aJZkYaXwWSi21RcXpD_Kyu6vibZaCYjkfguNbO_51y-qtBRWa8qjq2CDSoK5Y6sNmSl2r5CniYyevrTzFLWvzgc0sfi5hJsnXrgsB9dzHpbW0DxXB8O5ac67-s5tvg44FDJTX1Ml4XRnibxvJp3JTjcpbn0yyqBZX8ZOlwuKeaOjs47Ij0GKchRvtFVOJuKfhIj0xEMRGi57ASEum7ro5pukD7R7VosqlBtEqj-pa2QrqfLQYQ-9SKJ3iHXi9ROFyogr43Rr87TYoFVTN1lpLvqUP3RW8MyMzqeLGSVoXDYnTEm_1iQx9sK8MUBGgvR5RQJ6buvzsMt-MGXs5HHvYwVqxzcoCTaQWCZ6B3V-bGGKUNze7ZS3I4GA2PHRDQH1UVfa_mmQukgmtwIy3gt23s95aZdPqp6YzaVHRE6IsmYBeQL1cDwpqPIHusjPK5M1YB8rurYjOL4ux2g41BmZBg5mDjI6djjNnE9KDm0oGZnRf042OzC18dqolabGj_3dZ5W3uaWj3k9DTpQQnZoMBZrZwuAJpd14qGPXO9b2EWHOjWHll5ber30PrGQP0m3frDzwLi9_zHiG6k9EaMbmyylCbNYsxehmfpIUAFySnc4cI-VNgnFFoK78imFV2sVpLMgTCPfs-t6hH_M97qQstTlyUkkdMEM86eapN7pHd_C67_QY57d6HuT8LqbDjDQfyp4rBlbt-OnvnryHYJLPiRHy1KC2LxUlpvkeD-Zn_Mh8WtPN_IlIiX4Aiw6tOJe2NjKGdED5k7VO4W6FMDxMfbBFnAQg2ZWQLcYDjP1u6DtWev7dQvN2gjx1a9scxOFhYr2K4wcepZpE40pvJRvYTWhU8cB9PjflpvytTTIROiTOkXqJEy2N68AUItxLcVf0VhWhVkbGGI6HErzHD3Wj2qqTC4IO4yCwPyLWawn_iqVy8JMGKo-bUbmuxrU6YkzqSBRisMJStE3oTkJt2Js1X-E_xbIWr-RBWLQ0nMqUw5PZrMAxshys8aSELGDarUZI3jTITeljUKvZGYXUaLcIn_Oy3O7Uf-A9PXTmTMzkmWjk10B7d7y-6qBwdOY-BUQI6sDKTMyWGXLb0WHB4cY9TlZQahuxh6AYCslcFY9CM6fibU0-B0221f_TpLKtbvtYSpPCQd3jO84f8H1TyP7JZjDVMz6h3Z0uuOKox85E9rYx_BwAE4O_mCMhcFHGM1VfgSsC7KhwDs72h3QL7g2HT7zbVE4k3-QIX7pAnkhBlCgoDFVGp0mRA-pnEKI_0NKyj9izb9OEkZKxE5XFPK2ZW97nN3Z1FJZLbe-YTk3dhSyFjnX_pMWgg4wiqmp9DekpWtB15VOjLwe7ZfpehOn1qgzsMuvk2fzHoOl6LkUgblL2mCwD-Cp-FEeXJP-2JQT7_B8qyHaDzoF8iZ0GwB7c0L7HWUGCt9inA4VUZY6jWlmd7yVXVudaYoM35FVbxXiesOynJv2_KSCOzjJxr_vXCPe0r5RCCtwtL-0tb9YJP3wXLXeETY04EGQFjKRy9S0gvDikyvNFgSy-mSBtg3Fy1qVarbywXkdTS1N7Df0P35wsTtz7wVTq7cXjiRA4_Q0F2ULyQrhza7SFM2bl6geFunLQSAFSMs8FM1l77433fq6wQ7NbcIPhYCUcTr30MkE9xXgX0QFkaL1fuDO-Ei8nhL1VwZUcSxBiU6zztEhNGYwPTllJGLyzJgUn4Zk-ZyEnBkZV0zRBrvB8oazYlSjFoelpO7KZHeqlpVtS0AMGmEXp84ICPb32WNosNSxXMcjOqbK69A5w2ODmOC_HpY0MBmImPv5SBfsbq7Lb2xrFw3ouFCdlzkEwEx5Dt-0lF1AiWhj0AxhLFiEeMS86MSSTUXTSfMy4l4Kdmtr5qemnr1bF9IBuuC12aPkrnkp37dFlI9ecPUbtjIMSe-et9K4vQf-toHdRiMWm19Yx0uzQ2cVbJOaVBHFeGUe8sCWxhCCzHL1h3Mj4Af5pydiVcLxDuG-9f7wcErGETndjMCh4M_0IVUb90X5YZtPtiqbJJ0aIWQ9ap1Wn6AONDMJ_GpOWqKWrL1g8_R9-crZ2Y8d_kj5WvW569nlkGtm42Z6EJwJZJbjid0GPv-N_J3hT6n1RRl3giFhUhVpqd1-waK0gdcw-DQzVUi308Zc5XuWlMP__jCLSOfg0-1FKSHTgRGcRGx9A2EMQfaM3PpJI2xJBt1_1J6sJt0nVVekc2zwAP8bYJjlGFz_F1GkWjTtODZj8k4ttI2C-WW45KXuVYaBNOfjS4wvillMg0RAJxYGkuRK8ux43fTwEOKRh-ZWnhjLm8QIxGG4c1UAFZBUp1wdRvY2XZt_39-9ZIeClVKy_SsWQp6GIbUx3xXzUPxSRlZ0TpgTxm7kphuhWHpCtzOls3x5ObdsXUc6UK1qFxZsnupIRItYJ4HfVswfIh-x7hl61oY5s0h4MRqwCYjcLZQzqDKi1h0CRBMUKvgw6Mqz90QimpfN9ujlGhso-ltp6Ui3DqbVBnT5-vbVR4j4PlKuT8SdwUgJhGoxr9zSeEHlc_6CTp0w5EthiMsl3s0duDjT6y9alm4Im31tq8sUqd6zf6_IJB9VmYIRHlpgVFh0fHBCduUFvyl50rjuJRiSlKz-F_p6ay7r_ktSRSZq7DFXrhDlj_DFw5zQV2-x_1ZJsay2eF9MnoBIDPHMl_zUsKSgK1bBr2tXb5Fzo3bhFJkEePnX7IFXk=", "id": "rs_0653a96d40a8cbd5016a153ca23a108191b6b5f74a85a5ed75", "summary": [] } ], "tool_calls": [ { "id": "call_TfbedxJWLKNxUoYtlE4XcHDF", "call_id": "call_TfbedxJWLKNxUoYtlE4XcHDF", "response_item_id": "fc_0653a96d40a8cbd5016a153caa9a3c81918410132780ad74f4", "type": "function", "function": { "name": "skill_manage", "arguments": "{\"action\":\"write_file\",\"name\":\"social-media-shorts-automation\",\"file_path\":\"references/mobile-safe-vertical-export-and-caption-qa.md\",\"file_content\":\"# Mobile-safe vertical export and caption QA\\n\\nUse this when a Shorts/Reels/TikTok review clip appears with black bars, squeezed height, wrong Telegram/mobile aspect ratio, or cramped active-word subtitles.\\n\\n## Durable lesson\\n\\nA source clip can be technically vertical yet still display incorrectly on mobile if export metadata, sample aspect ratio, or player handling is not explicit. For review/post candidates, do a final mobile-safe export boundary rather than trusting provider output.\\n\\n## Recommended final export normalization\\n\\nFor final-near review MP4s, normalize to square-pixel 9:16:\\n\\n```bash\\nffmpeg -y -i input.mp4 \\\\\\n -vf \\\"scale=1080:1920:force_original_aspect_ratio=increase,crop=1080:1920,setsar=1,setdar=9/16,format=yuv420p\\\" \\\\\\n -c:v libx264 -preset veryfast -crf 18 -movflags +faststart -an \\\\\\n output_1080x1920_sar1.mp4\\n```\\n\\nIf audio is present, map video/audio explicitly and encode AAC:\\n\\n```bash\\nffmpeg -y -i video_no_audio.mp4 -i voiceover.mp3 \\\\\\n -map 0:v:0 -map 1:a:0 -c:v copy -c:a aac -b:a 160k \\\\\\n -movflags +faststart output_review.mp4\\n```\\n\\nUse `-shortest` only when the visual timeline intentionally ends with the voiceover. Otherwise preserve planned duration.\\n\\n## Mandatory ffprobe check\\n\\nBefore sending a review MP4, verify from the actual delivered file:\\n\\n```bash\\nffprobe -v error -select_streams v:0 \\\\\\n -show_entries stream=width,height,sample_aspect_ratio,display_aspect_ratio,r_frame_rate \\\\\\n -show_entries format=duration -of json output_review.mp4\\n```\\n\\nExpected for normal Shorts review:\\n\\n- width: 1080\\n- height: 1920\\n- sample_aspect_ratio: 1:1\\n- display_aspect_ratio: 9:16\\n- format: yuv420p H.264/AAC where applicable\\n\\n## Visual QA frames\\n\\nExtract at least one mid-video and one final-rule frame:\\n\\n```bash\\nffmpeg -y -ss 12 -i output_review.mp4 -frames:v 1 qa_frame_00_12.png\\nffmpeg -y -ss 31 -i output_review.mp4 -frames:v 1 qa_frame_00_31.png\\n```\\n\\nInspect for:\\n\\n- no top/bottom black bars;\\n- no squeezed height / wrong DAR;\\n- UI/card text not clipped inside boxes;\\n- subtitles not merged into unreadable compounds;\\n- final rule/takeaway visible and not hidden behind subtitles or platform-safe zones.\\n\\n## Active-word subtitle guardrail\\n\\nFor uppercase active-word subtitles in 1080-wide vertical videos, `3–7 word` phrase chunks can still become visually cramped or merge. Prefer:\\n\\n- 1–3 words for dense uppercase captions;\\n- 2 words when the font is bold/large;\\n- generous inter-word spacing;\\n- dynamic font shrink until the full segment fits within the safe width;\\n- visual QA of a real frame after burn-in/render, not just timing metadata.\\n\\nIf the user reports subtitles are irritating, cramped, clipped, or not simultaneous with voiceover, treat it as blocking and re-render before asking for posting approval.\\n\"}" } } ] }, { "role": "tool", "name": "skill_manage", "content": "{\"success\": true, \"message\": \"File 'references/mobile-safe-vertical-export-and-caption-qa.md' written to skill 'social-media-shorts-automation'.\", \"path\": \"/home/agent/.hermes/skills/social-media/social-media-shorts-automation/references/mobile-safe-vertical-export-and-caption-qa.md\"}", "tool_call_id": "call_TfbedxJWLKNxUoYtlE4XcHDF" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "call_z88C1zNEgGqcJkOF2VsqIwhk", "call_id": "call_z88C1zNEgGqcJkOF2VsqIwhk", "response_item_id": "fc_0653a96d40a8cbd5016a153cc255bc819182b431d5168b0254", "type": "function", "function": { "name": "skill_manage", "arguments": "{\"action\":\"patch\",\"name\":\"social-media-shorts-automation\",\"old_string\":\"See `references/final-motion-hybrid-rendering.md` for the final-near hybrid renderer pattern: ChatGPT Image/Codex or other AI tools provide text-free background/keyframe texture while deterministic renderer overlays own text, arrows, labels, captions, and final assembly. For quick prototypes, prefer ChatGPT Image/Codex backgrounds before local Qwen/ComfyUI unless privacy/cost/local-only constraints dominate. After a 1080 export, create a side-effect-free final approval package with media path, SHA256, platform metadata, social copy, quality notes, and approval commands before any delivery or platform step.\",\"new_string\":\"See `references/final-motion-hybrid-rendering.md` for the final-near hybrid renderer pattern: ChatGPT Image/Codex or other AI tools provide text-free background/keyframe texture while deterministic renderer overlays own text, arrows, labels, captions, and final assembly. For quick prototypes, prefer ChatGPT Image/Codex backgrounds before local Qwen/ComfyUI unless privacy/cost/local-only constraints dominate. After a 1080 export, create a side-effect-free final approval package with media path, SHA256, platform metadata, social copy, quality notes, and approval commands before any delivery or platform step. If Telegram/mobile playback shows black bars, squeezed height, wrong aspect metadata, clipped UI text, or cramped active-word captions, follow `references/mobile-safe-vertical-export-and-caption-qa.md`: normalize to 1080x1920 square pixels with explicit `setsar=1,setdar=9/16`, verify with ffprobe, and inspect QA frames before sending again.\"}" } } ] }, { "role": "tool", "name": "skill_manage", "content": "{\"success\": true, \"message\": \"Patched SKILL.md in skill 'social-media-shorts-automation' (1 replacement).\"}", "tool_call_id": "call_z88C1zNEgGqcJkOF2VsqIwhk" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "call_socjrKsTboRUmKJ38oxSJw9L", "call_id": "call_socjrKsTboRUmKJ38oxSJw9L", "response_item_id": "fc_0653a96d40a8cbd5016a153cd0b3c48191a7d9d62cf29de675", "type": "function", "function": { "name": "skill_manage", "arguments": "{\"action\":\"patch\",\"name\":\"social-media-shorts-automation\",\"new_string\":\"- If Telegram/mobile playback shows top/bottom black bars or a visibly squeezed vertical image, do not hand-wave it as a player quirk. Re-export through an explicit mobile-safe normalization boundary (`scale=1080:1920:force_original_aspect_ratio=increase,crop=1080:1920,setsar=1,setdar=9/16,format=yuv420p`), verify SAR/DAR with ffprobe, and inspect extracted frames before redelivery; see `references/mobile-safe-vertical-export-and-caption-qa.md`.\\n- Do not let active-word captions become unreadable compounds. In uppercase/bold 1080-wide renders, even 3–7 word phrase chunks can merge visually; use shorter 1–3 word chunks or larger spacing/font shrink, then QA a real frame after rendering.\\n- Do not send several generated preview videos as unlabeled media attachments just because they are distinct files. Telegram/mobile previews can make timing-card MP4s look identical. Verify uniqueness (path + title + hash/duration) and provide labels or an indexed summary; if the user complains about duplicate-looking media, stop resending, verify artifacts, and continue the pipeline.\",\"old_string\":\"- Do not send several generated preview videos as unlabeled media attachments just because they are distinct files. Telegram/mobile previews can make timing-card MP4s look identical. Verify uniqueness (path + title + hash/duration) and provide labels or an indexed summary; if the user complains about duplicate-looking media, stop resending, verify artifacts, and continue the pipeline.\"}" } } ] }, { "role": "tool", "name": "skill_manage", "content": "{\"success\": true, \"message\": \"Patched SKILL.md in skill 'social-media-shorts-automation' (1 replacement).\"}", "tool_call_id": "call_socjrKsTboRUmKJ38oxSJw9L" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "call_GtTo72pSFBKUpJJEuiF5Hx4O", "call_id": "call_GtTo72pSFBKUpJJEuiF5Hx4O", "response_item_id": "fc_0653a96d40a8cbd5016a153cdaa1b48191be904f241f59d8f5", "type": "function", "function": { "name": "skill_manage", "arguments": "{\"action\":\"patch\",\"name\":\"edge-tts\",\"old_string\":\"Use these offsets to drive static 3–7 word caption phrases with only the active spoken word highlighted. This avoids the irritating lag/lead caused by sentence-duration approximation and supports the user's preferred Hormozi/TikTok-style subtitle feel.\",\"new_string\":\"Use these offsets to drive static caption phrases with only the active spoken word highlighted. Default to 3–7 word phrases for moderate text, but for uppercase/bold Shorts captions in 1080-wide vertical video, shrink to 1–3 words (often 2) with generous inter-word spacing and dynamic font-fit so words do not visually merge. This avoids the irritating lag/lead caused by sentence-duration approximation and supports the user's preferred Hormozi/TikTok-style subtitle feel; always inspect at least one rendered QA frame after burn-in.\"}" } } ] }, { "role": "tool", "name": "skill_manage", "content": "{\"success\": true, \"message\": \"Patched SKILL.md in skill 'edge-tts' (1 replacement).\"}", "tool_call_id": "call_GtTo72pSFBKUpJJEuiF5Hx4O" }, { "role": "assistant", "content": "Skill-Library aktualisiert.\n\nGeändert:\n\n- **`social-media-shorts-automation`**\n - Neue Reference-Datei:\n - `references/mobile-safe-vertical-export-and-caption-qa.md`\n - Ergänzt:\n - Mobile-safe 9:16 Export-Normalisierung mit `setsar=1,setdar=9/16`\n - ffprobe-Pflichtcheck für SAR/DAR\n - QA-Frames vor Redelivery\n - Pitfall zu schwarzen Balken / zusammengedrückter Höhe\n - Pitfall zu zu engen Active-Word-Captions\n\n- **`edge-tts`**\n - Caption-Anweisung präzisiert:\n - 3–7 Wörter bleiben Standard für moderate Captions\n - bei uppercase/bold Shorts-Captions lieber 1–3 Wörter, oft 2\n - großzügige Wortabstände + Font-Fit\n - reale QA-Frames nach Render prüfen\n\nDamit ist der heutige Fix — Telegram/mobile Aspect-Ratio + aktive Untertitel-Lesbarkeit — dauerhaft im passenden Umbrella verankert.", "reasoning": null, "finish_reason": "stop", "codex_message_items": [ { "type": "message", "role": "assistant", "status": "completed", "content": [ { "type": "output_text", "text": "Skill-Library aktualisiert.\n\nGeändert:\n\n- **`social-media-shorts-automation`**\n - Neue Reference-Datei:\n - `references/mobile-safe-vertical-export-and-caption-qa.md`\n - Ergänzt:\n - Mobile-safe 9:16 Export-Normalisierung mit `setsar=1,setdar=9/16`\n - ffprobe-Pflichtcheck für SAR/DAR\n - QA-Frames vor Redelivery\n - Pitfall zu schwarzen Balken / zusammengedrückter Höhe\n - Pitfall zu zu engen Active-Word-Captions\n\n- **`edge-tts`**\n - Caption-Anweisung präzisiert:\n - 3–7 Wörter bleiben Standard für moderate Captions\n - bei uppercase/bold Shorts-Captions lieber 1–3 Wörter, oft 2\n - großzügige Wortabstände + Font-Fit\n - reale QA-Frames nach Render prüfen\n\nDamit ist der heutige Fix — Telegram/mobile Aspect-Ratio + aktive Untertitel-Lesbarkeit — dauerhaft im passenden Umbrella verankert." } ], "id": "msg_0653a96d40a8cbd5016a153ce522808191a94b01a834f7d988", "phase": "final_answer" } ] } ] }