{"parentUuid":null,"isSidechain":true,"promptId":"7a3166a6-4cdf-41ec-bffe-f7d36dfbace3","agentId":"a9bf207c73eaff661","type":"user","message":{"role":"user","content":"Sto valutando quanto sia documentata la mia conoscenza (di Adrian, l'agente AI) su \"Frank\", il daemon ETL che gira sul PC ufficio Windows nell'ecosistema di Mauro (nessun LLM coinvolto, orchestratore di job come ImdbUpdate, GemmaReport, DataHub_v2 secondo `PYTHON/CLAUDE.md`).\n\nCerca in `/mnt/ssd/data/Dropbox/adrian/archivio/` (second brain markdown) e in `/mnt/ssd/data/Dropbox/adrian/PYTHON/Frank/` (se accessibile in sola lettura da qui) qualunque file che descriva:\n1. Cosa fa esattamente Frank (job che orchestra, scheduling, meccanismo)\n2. Stato operativo attuale (attivo? problemi noti? gotcha?)\n3. File CLAUDE.md dedicati a Frank\n\nRiporta un elenco dei file trovati (path esatti) con un riassunto di 1-2 righe per ciascuno di cosa contengono — non serve il contenuto integrale, solo la mappa di cosa esiste e quanto è dettagliato. Se trovi poco o niente, dillo esplicitamente. Rispondi in italiano, sotto 250 parole."},"uuid":"972b8e7c-f4e5-410e-9f3d-26042a9a7625","timestamp":"2026-08-07T11:03:36.469Z","userType":"external","entrypoint":"claude-vscode","cwd":"/mnt/ssd/data/Dropbox/adrian","sessionId":"6291f451-faa1-400b-9478-3e3eee223c48","version":"2.1.221","gitBranch":"master"}
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{"parentUuid":"65c5a6e2-8301-44ab-8bcd-7bb95e655749","isSidechain":true,"agentId":"a9bf207c73eaff661","attachment":{"type":"skill_listing","content":"- avvio-sessione: Checklist di inizio sessione — identifica l'istanza (Nave/Ufficio), legge memory/MEMORY.md, apre l'hub di archivio/, e su Nave avvia il Monitor persistente per voice-chat. Invocare sempre a inizio sessione, idealmente al primo turno — normalmente richiamata da un hook SessionStart, ma va eseguita anche se manca il promemoria dell'hook.\n- chiusura-sessione: Checklist di fine sessione per aggiornare memoria e archivio in modo coerente prima di chiudere — cosa va in memory/MEMORY.md, cosa in archivio/ come storico, cosa in CLAUDE.md, cosa va committato. Usare quando Mauro segnala che sta per chiudere/staccare, o quando si nota che sono passate molte ore/molti argomenti dall'ultimo aggiornamento di memoria.\n- manutenzione-archivio: Scansione meccanica di archivio/ per trovare link rotti, file orfani e hub incompleti — riporta i risultati a Mauro, non corregge nulla in autonomia. Usare su richiesta esplicita di Mauro (\"controlla l'archivio\", \"scansione generale\"), o quando ci si accorge di disordine strutturale mentre si lavora su un'altra cosa.\n- processa-inbox: Processa i documenti caricati da Mauro in inbox-documenti/ (scansioni, PDF firmati, email .eml, ecc.) e li archivia correttamente in archivio/_documenti/ con nota sidecar. Usare quando Mauro segnala che ha caricato qualcosa in inbox, quando si nota che inbox-documenti/ non è vuota, o quando un messaggio inizia con `@inbox`.\n- processa-promemoria: Intercetta i promemoria che Mauro scrive su Apple Reminders (arrivano su Microsoft To Do tramite l'account agganciato) e li smista al volo in conversazione — thread in memory/MEMORY.md, nota in archivio/, o scarto se già gestiti. Consulta anche il calendario (stesso account) per contesto su scadenze/impegni. Modello: check-in periodico, non per-item — usare quando Mauro segnala di aver aggiunto promemoria, chiede di controllare Reminders/calendario, a inizio sessione se è passato tempo dall'ultimo giro, o quando un messaggio inizia con `@gate` (bypassa Reminders, il testo va processato con lo stesso triage).\n- loop: Sei Adrian. Mettiti in ascolto sul cockpit Adrian↔Elon↔Mauro.\n- dataviz: Use this skill whenever you are about to create ANY chart, graph, plot, dashboard, or data visualization, in ANY output medium — an HTML or React artifact, inline SVG, plotting code in any library (matplotlib, plotly, d3, Recharts, …), an image/PNG you will render and upload, or a chart shared into Slack. Read it BEFORE writing the first line of chart code, choosing chart colors, building a stat tile / meter / KPI row, or laying out a dashboard. Produces visualizations that read as one system — elegant, accessible, consistent in light and dark — using a brand-neutral placeholder palette you swap for your own. Teaches a design-system-agnostic method: a form heuristic, a color formula with a runnable validator, mark specs, and interaction rules. A validated default palette is documented in `references/palette.md` — swap that file's values for your brand's. Triggers on: \"chart\", \"graph\", \"plot\", \"data viz\", \"visualization\", \"dashboard\", \"analytics\", \"visualize data\", \"categorical colors\", \"sequential / diverging palette\", \"stat tile\", \"sparkline\", \"heatmap\", \"legend\", \"axis\", \"tooltip\", \"chart colors\", \"color by series\".\n- artifact-design: Design guidance and fundamentals for Artifacts.\n- artifact-diagramming: Diagramming know-how for Artifacts — when a picture earns its place, how to draw one that shows the real mechanism, and the inline-SVG mechanics that keep it legible in both themes.\n- artifact-capabilities: Runtime capabilities a published Artifact page can be granted — behavior static HTML cannot provide on its own, such as the page reading live or connected data, keeping state shared across viewers, or updating and republishing itself. Serves this user's live capability roster and the typed call definitions. Load it whenever the user asks for an artifact needing any such runtime behavior.\n- update-config: Use this skill to configure the Claude Code harness via settings.json. Automated behaviors (\"from now on when X\", \"each time X\", \"whenever X\", \"before/after X\") require hooks configured in settings.json - the harness executes these, not Claude, so memory/preferences cannot fulfill them. Also use for: permissions (\"allow X\", \"add permission\", \"move permission to\"), env vars (\"set X=Y\"), hook troubleshooting, or any changes to settings.json/settings.local.json files. Examples: \"allow npm commands\", \"add bq permission to global settings\", \"move permission to user settings\", \"set DEBUG=true\", \"when claude stops show X\". For simple settings like theme/model, suggest the /config command.\n- keybindings-help: Use when the user wants to customize keyboard shortcuts, rebind keys, add chord bindings, or modify ~/.claude/keybindings.json. Examples: \"rebind ctrl+s\", \"add a chord shortcut\", \"change the submit key\", \"customize keybindings\".\n- simplify: Review the changed code for reuse, simplification, efficiency, and altitude cleanups, then apply the fixes. Quality only — it does not hunt for bugs; use /code-review for that.\n- fewer-permission-prompts: Scan your transcripts for common read-only Bash and MCP tool calls, then add a prioritized allowlist to project .claude/settings.json to reduce permission prompts.\n- schedule: Create, update, list, or run scheduled cloud agents (routines) that execute on a cron schedule. - When the user wants to schedule a recurring cloud agent, set up automated tasks, create a cron job for Claude Code, or manage their scheduled agents/routines. Also use when the user wants a one-time scheduled run (\"run this once at 3pm\", \"remind me to check X tomorrow\").\n- claude-api: Reference for the Claude API / Anthropic SDK — model ids, pricing, params, streaming, tool use, MCP, agents, caching, token counting, model migration.\nTRIGGER — read BEFORE opening the target file; don't skip because it \"looks like a one-liner\" — whenever: the prompt names Claude/Anthropic in any form (Claude, Anthropic, Fable, Opus, Sonnet, Haiku, `anthropic`, `@anthropic-ai`, `claude-*`, `us.anthropic.*`, `[1m]`); the user asks about an LLM (pricing/model choice/limits/caching) — never answer from memory; OR the task is LLM-shaped with provider unstated (agent/MCP/tool-definition/multi-agent/RAG/LLM-judge/computer-use; generate/summarize/extract/classify/rewrite/converse over NL; debugging refusals/cutoffs/streaming/tool-calls/tokens).\nSKIP only when another provider is being worked on (overrides all triggers): OpenAI/GPT/Gemini/Llama/Mistral/Cohere/Ollama named in the query; OR `grep -rE 'openai|langchain_openai|google.generativeai|genai|mistralai|cohere|ollama'` over the project hits (run this grep FIRST if no provider named — don't Read the file).\n- run: Launch and drive this project's app to see a change working. Use when asked to run, start, or screenshot the app, or to confirm a change works in the real app (not just tests). First looks for a project skill that already covers launching the app; otherwise falls back to built-in patterns per project type (CLI, server, TUI, Electron, browser-driven, library).\n- init: Initialize a new CLAUDE.md file with codebase documentation\n- review: Review a GitHub pull request; for your working diff use /code-review\n- security-review: Complete a security review of the pending changes on the current branch","skillCount":20,"isInitial":true,"names":["avvio-sessione","chiusura-sessione","manutenzione-archivio","processa-inbox","processa-promemoria","loop","dataviz","artifact-design","artifact-diagramming","artifact-capabilities","update-config","keybindings-help","simplify","fewer-permission-prompts","schedule","claude-api","run","init","review","security-review"]},"type":"attachment","uuid":"bb7ae784-2d9b-4d3d-aca2-de30ef06e481","timestamp":"2026-08-07T11:03:36.481Z","userType":"external","entrypoint":"claude-vscode","cwd":"/mnt/ssd/data/Dropbox/adrian","sessionId":"6291f451-faa1-400b-9478-3e3eee223c48","version":"2.1.221","gitBranch":"master"}
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{"parentUuid":"180be165-440a-4668-b54c-8145ee91e17e","isSidechain":true,"promptId":"7a3166a6-4cdf-41ec-bffe-f7d36dfbace3","agentId":"a9bf207c73eaff661","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01ArBgC2Bvsqe3jbcK79fb2B","type":"tool_result","content":"1\t---\n2\tname: project-frank-relay\n3\tdescription: \"Ponte file-based Nave↔Frank (ufficio) per query di sola lettura — cartella tasks/\"\n4\tmetadata:\n5\t  type: project\n6\t---\n7\t\n8\tProtocollo file JSON via Dropbox tra Adrian (Nave) e Frank (daemon ETL ufficio): `tasks/to-frank/richiesta-NNNN.json` → Frank processa entro ~30s → `tasks/from-frank/risposta-NNNN.json`. Ridefinito 2026-07-17 (non WebDAV), implementato e operativo da allora.\n9\t\n10\t**Perché esiste**: da Nave non si raggiunge `PYTHON/`/rete Mediaset direttamente — questo ponte lo permette in sola lettura (`list_dir`, `read_file`, `glob`, `duckdb_query`), usato soprattutto da `flussi-expert` per diagnosi sui dati.\n11\t\n12\t**Spec completa**: [[flussi-expert]], sezione \"Protocollo Frank-relay\". Menzione breve anche in `CLAUDE.md`.\n13\t\n14\t**Manutenzione**: gli scambi conclusi (`richiesta-*.json`/`risposta-*.json`) non si accumulano — esclusi da git, ripuliti quando non servono più. Il meccanismo (cartelle + `.gitkeep`) resta.\n15\t\n16\t**Stato (29/07/2026)**: attivo, ultimo scambio 27/07 (diagnosi Free+DVB-T).\n17\t"}]},"uuid":"5c86c592-56e8-4a2a-b7b8-0f75a09c8276","timestamp":"2026-08-07T11:03:46.632Z","sourceToolAssistantUUID":"180be165-440a-4668-b54c-8145ee91e17e","userType":"external","entrypoint":"claude-vscode","cwd":"/mnt/ssd/data/Dropbox/adrian","sessionId":"6291f451-faa1-400b-9478-3e3eee223c48","version":"2.1.221","gitBranch":"master"}
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{"parentUuid":"6f4b1c86-eb6f-46e5-a64c-9b04af074a39","isSidechain":true,"promptId":"7a3166a6-4cdf-41ec-bffe-f7d36dfbace3","agentId":"a9bf207c73eaff661","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_018sUcFfW1ioWMKFvMtsc5Yp","type":"tool_result","content":"1\t---\n2\taliases: [\"Frank\"]\n3\ttype: progetto\n4\t---\n5\t\n6\t# CLAUDE.md — Frank (ex Scheduler)\n7\t**Ultimo aggiornamento:** 2026-07-27\n8\t\n9\t## Contesto\n10\tDaemon di automazione moderno per Windows — orchestratore job ufficio.\n11\t**Versione:** 1.3.0 | **Status:** Production Ready (4+ mesi, 99%+ uptime)\n12\t\n13\tFunzionalità principali:\n14\t- **Job Scheduling**: cron expressions, batch/Python/VBS, job chaining, profili per hostname\n15\t- **Backup Automation**: profili hard-link deduplication, retention, restore granulare con tree selection, Run Now manuale da GUI\n16\t\n17\t**Rename completato: Scheduler → Frank** (2026-03-13).\n18\tFrank è il \"referente operativo in ufficio\" nell'ecosistema Albert/Mike/Frank.\n19\t\n20\t**Ecosistema AI:**\n21\t- **Albert** — assistente personale di Mauro (Linux, casa) — il \"direttore\"\n22\t- **Mike** — sub-agente di Albert\n23\t- **Frank** — daemon Windows in ufficio, esecutore operativo locale\n24\t- Integrazione Frank ↔ Albert pianificata (protocollo cross-machine da definire)\n25\t\n26\t## Come avviare\n27\t\n28\t```bash\n29\t# Avvio manuale (uso quotidiano — autostart bloccato da policy IT)\n30\tRUN.bat\n31\t\n32\t# Diretto (con venv condiviso)\n33\tpython\\python.exe start_gui.py\n34\tpython\\python.exe start_daemon.py\n35\t```\n36\t\n37\t## Tech stack e vincoli specifici\n38\t- **Python**: 3.11.9 embedded in `python\\` (consigliato) oppure venv\n39\t- **APScheduler** 3.10.4 — scheduler engine\n40\t- **PyQt6** 6.7.0 PINNED (standard ecosistema)\n41\t- **PyQt6-Charts** 6.7.0\n42\t- **Robocopy**: per sync multi-thread (integrazione Windows nativa)\n43\t- **loguru** 0.7.3\n44\t- **pywin32** + **win10toast** per integrazione Windows (system tray, notifiche)\n45\t\n46\t## Architettura\n47\t\n48\t```\n49\tFrank/\n50\t├── core/\n51\t│   ├── database.py         # SQLite manager (singleton) → frank.db (su B via UNC)\n52\t│   ├── config.py           # Config loader JSON (singleton)\n53\t│   ├── cron_utils.py       # Parsing cron expressions\n54\t│   └── logger.py           # Setup logging\n55\t├── daemon/                 # Automation daemon\n56\t├── gui/                    # PyQt6 GUI (jobs + backup, read-only a tendere)\n57\t│   └── main_window.py\n58\t├── modules/\n59\t│   ├── backup/             # Backup Automation\n60\t│   └── outlook/            # Outlook classifier\n61\t├── config/\n62\t│   └── frank_config.json   # Config locale (paths, notifiche)\n63\t├── logs/                   # Log esecuzioni job\n64\t├── python/                 # Python 3.11.9 embedded (NON in git)\n65\t├── start_daemon.py         # Entry daemon\n66\t├── start_gui.py            # Entry GUI\n67\t├── deploy_DEV_LOCAL.bat    # Deploy A → B\n68\t└── RUN.bat                 # Launcher manuale (stop + avvio daemon + GUI)\n69\t```\n70\t\n71\t## Database\n72\t- **`frank.db`**: SQLite su B (`\\\\mediaset.it\\share\\...\\sync_db\\frank.db`) — config source of truth (jobs, schedules, backup profiles). Condivide la directory `sync_db` con `mediatrack.db` e altri DB.\n73\t- **`frank_local.db`**: SQLite locale (`C:\\PYTHON_LOCAL\\Frank\\data\\frank_local.db`) — DB operativo del daemon. Contiene copia config (sincronizzata da B) + job_executions (solo locale).\n74\t- WAL mode abilitato su entrambi — accesso multi-PC via UNC per frank.db\n75\t- Ogni job ha campo `hostname` — il daemon esegue solo i job del suo host\n76\t- `Database` è un **singleton** — non istanziare più volte\n77\t- `frank.db` **NON viene copiato dal deploy** — vive permanentemente su B\n78\t- `frank_local.db` **NON viene copiato dal deploy** — creato automaticamente al primo avvio del daemon\n79\t\n80\t## Gotcha critici\n81\t\n82\t**Backup su drive di rete:** usare sempre path UNC (`\\\\server\\share\\...`) nelle sorgenti backup — le lettere di drive (I:, W:, X:) sono mappate per sessione utente e NON sono accessibili al daemon in background. Path UNC funzionano senza mapping.\n83\t\n84\t**SQLite cross-thread:** il DB singleton usa connessioni per thread. Dopo un commit da worker thread, attendere ~300ms prima di rileggere dal main thread (WAL checkpoint visibility).\n85\t\n86\t**frank.db via UNC:** WAL mode abilitato. Write occasionali (start/stop job) — nessun problema di concorrenza per 2-3 PC.\n87\t\n88\t**Schema frank_local.db:** creato da `_create_tables()` + sync da B. Se B ha colonne aggiuntive non presenti nello schema locale, il sync fallisce silenziosamente per quella tabella. In caso di errori `no such column`, aggiornare `_create_tables()` e cancellare `frank_local.db` per ricrearlo.\n89\t\n90\t**deploy_DEV_LOCAL.bat da Claude Code:** usare `Start-Process cmd -ArgumentList \"/c\",\"path\\to\\bat\",\"silent\" -Wait -NoNewWindow` — `cmd /c \"bat\"` diretto non funziona (Git Bash intercetta alcuni comandi).\n91\t\n92\t## Stato attuale / Roadmap\n93\t- **v1.2.3** (2026-02-27): Run Now backup da GUI, fix UNC paths, Outlook module\n94\t- **v1.3.0** (2026-03-13): Rename Scheduler → Frank, rimozione Sync e Version, Zero-Env architecture, hostname-based job filtering, frank.db centralizzato su B — **COMPLETATO**\n95\t- **v1.4.0** (2026-03-19): DB split locale/remoto — daemon usa `frank_local.db` a runtime (zero dipendenza rete), sync config da B all'avvio, polling `config_version` ogni 60s per reload live — **COMPLETATO**\n96\t\n97\t## Deployment attuale (2026-07-27)\n98\t\n99\tFrank gira **solo su A** (W1251000160 — macchina di Mauro). **Definitivo — non girerà mai su altre macchine.**\n100\t- Gira direttamente da `Dropbox\\adrian\\PYTHON\\Frank\\` con venv condiviso `C:\\PYTHON_OLD\\_runtimes\\venv\\`\n101\t- **Avvio manuale quotidiano**: `RUN.bat` (autostart bloccato da policy IT — Startup folder e Task Scheduler disabilitati)\n102\t- Lock file `data/daemon.lock` previene istanze multiple\n103\t- B (server): `frank.db` su `sync_db\\frank.db` — config source of truth. Il daemon usa `data/frank_local.db` a runtime\n104\t\n105\tJob attivi su A:\n106\t| Job | Schedule |\n107\t|---|---|\n108\t| DataHub v2 Weekly | lunedì 10:00 (`C:\\PYTHON\\DataHub_v2\\`) |\n109\t| DataHub v2 Daily | martedì-venerdì 10:00 (`C:\\PYTHON\\DataHub_v2\\`) |\n110\t| OMDB Batch Enrich | lun-ven 13:30 (`C:\\PYTHON\\MyICR_Suite\\frank_jobs\\`) |\n111\t| Check doppi Gemma | lun-ven 11:30 |\n112\t| Check prodotti acquistati | mercoledì 12:30 |\n113\t| ImdbUpdate | giovedì 14:00 |\n114\t| IntegrazioneUpdateDay | lun-ven 13:00 |\n115\t| ReportPdf | lun-ven 16:00 |\n116\t| UPDATE_DAY | lun-ven 10:00 |\n117\t| Outlook Frank filtro | ogni 15 min |\n118\t| GemmaReport | mercoledì 11:00 (`C:\\PYTHON\\GemmaReport\\`) |\n119\t| OsservatorioReport | mercoledì 11:15 (`C:\\PYTHON\\GemmaReport\\`) |\n120\t\n121\t## Dipendenze\n122\t- Orchestratore di **DataHub v2** (ETL settimanali/giornalieri)\n123\t- Accede a **frank.db** su B via UNC\n124\t\n125\t## Non fare mai\n126\t- Non eliminare `frank.db` — contiene tutti i job e la history\n127\t- Non avviare più istanze del daemon contemporaneamente sullo stesso host\n128\t"}]},"uuid":"b1290f24-8c0a-45c8-bd54-a1d8e11571b8","timestamp":"2026-08-07T11:03:46.695Z","sourceToolAssistantUUID":"6f4b1c86-eb6f-46e5-a64c-9b04af074a39","userType":"external","entrypoint":"claude-vscode","cwd":"/mnt/ssd/data/Dropbox/adrian","sessionId":"6291f451-faa1-400b-9478-3e3eee223c48","version":"2.1.221","gitBranch":"master"}
{"parentUuid":"b1290f24-8c0a-45c8-bd54-a1d8e11571b8","isSidechain":true,"agentId":"a9bf207c73eaff661","message":{"model":"claude-sonnet-5","id":"msg_011CdoH1cNxmYz5BbWNN9Qbi","type":"message","role":"assistant","content":[{"type":"text","text":"Ho trovato la documentazione. Ecco la mappa completa:\n\n## Documentazione dedicata a Frank\n\n**`/mnt/ssd/data/Dropbox/adrian/archivio/Mauro/lavoro/lavoro-python-ecosistema/Frank.md`** — scheda breve (progetto, 12 righe): descrive Frank come daemon Windows orchestratore ETL, status \"active, production, 4+ mesi, 99%+ uptime al 2026-07-31\", elenca i job orchestrati (ImdbUpdate, GemmaReport, MyICR_Suite/OMDB). Rimanda al CLAUDE.md di progetto per i dettagli.\n\n**`/mnt/ssd/data/Dropbox/adrian/archivio/Adrian/tools/frank-relay.md`** — scheda sul protocollo di comunicazione file-based Nave↔Frank via Dropbox (`tasks/to-frank`/`tasks/from-frank`), non sul daemon in sé ma sul canale di query read-only usato da flussi-expert. Stato al 29/07: attivo.\n\n**`/mnt/ssd/data/Dropbox/adrian/PYTHON/Frank/CLAUDE.md`** — questo è il file CLAUDE.md dedicato a Frank, molto dettagliato (128 righe): contesto (ex Scheduler, v1.3.0), architettura cartelle, DB (`frank.db` su B via UNC, `frank_local.db` locale), gotcha critici (path UNC per backup, timing SQLite cross-thread, sync schema silenzioso), tabella completa dei job attivi con scheduling (DataHub v2, OMDB Batch, ImdbUpdate giovedì 14:00, GemmaReport mercoledì 11:00, ecc.), deployment (gira solo su A, avvio manuale via RUN.bat perché autostart bloccato da policy IT), sezione \"Non fare mai\".\n\n**`/mnt/ssd/data/Dropbox/adrian/PYTHON/CLAUDE.md`** (coordinator) — menziona Frank nella mappa progetti e nelle relazioni (\"Frank orchestra i job ETL: ImdbUpdate, GemmaReport, DataHub_v2\"), più gotcha trasversali sui path di rete per il daemon in background.\n\n## Valutazione\nLa conoscenza è **buona e ben stratificata**: c'è un CLAUDE.md di progetto ricco di dettagli tecnici/operativi (il più completo), una scheda sintetica nel second brain per orientamento rapido, e una scheda separata per il meccanismo di comunicazione Frank-relay. Nessun problema operativo noto al 2026-07-27 oltre ai gotcha tecnici documentati (non bug aperti). Non ho trovato lacune evidenti né file duplicati/contraddittori."}],"stop_reason":"end_turn","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":8036,"cache_read_input_tokens":19920,"output_tokens":986,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":8036},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":986,"cache_read_input_tokens":19920,"cache_creation_input_tokens":8036,"cache_creation":{"ephemeral_5m_input_tokens":8036,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CdoH1bCmahgC6we1AYSQs","attributionAgent":"Explore","type":"assistant","uuid":"770541dd-7787-416b-81d8-d57620eaae7e","timestamp":"2026-08-07T11:03:59.084Z","effort":"medium","userType":"external","entrypoint":"claude-vscode","cwd":"/mnt/ssd/data/Dropbox/adrian","sessionId":"6291f451-faa1-400b-9478-3e3eee223c48","version":"2.1.221","gitBranch":"master"}