/home/sebas/pi-config/sessions/--home-sebas--/2026-05-15T13-21-22-432Z_019e2bcc-7dff-77dc-a119-d1702176bbb8.jsonl:93:{"type":"message","id":"99f2351c","parentId":"29bbd46d","timestamp":"2026-05-15T16:06:31.697Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Implementing rendered mode**\n\nI’m thinking about implementing rendered mode with various settings to ensure everything runs smoothly. It might involve using a headless browser with specific flags and a timeout. The user hinted at wanting different modes, like simple and rendered, so maybe I'll set the default to rendered for simplicity. I'd also like to check if we can generate both modes per article when the source allows it. I'll make sure to adjust the list based on what's available.\n\n**Setting capture modes**\n\nI’m considering how to handle capture modes, starting with rendered if the source supports it; otherwise, I'll fall back to simple. I could set the default to rendered for all sources, but that could be risky. Instead, I’m thinking of adding a specific field for capture modes and ensuring we can define it per source. I also want to manage this through environment variables. It's clear I'll need to rewrite the build.py file for clarity and efficiency.","thinkingSignature":"{\"id\":\"rs_0ed06d2db1e68cfd016a074432429081968925f1e8a0fb4ef6\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABqB0Q6zXXU8hzSMjMKJZ9IBBufWOfPiEv1uXmOmPUa5Nof9zDGyRNXNf9jA9FmvK_XWQ2MjoXBZQLNCsAaR5TFGTkEiBVwk5M_n5_z5xd1vCiEps3mrHyQLKnoghTTjMQikF6pHAJAehD0fU8hH11prco5f5LotJe7_uR4SOeTUbdmVVGUO2E-UN1d4fL9EYe4ww1Y5URUnOo7fdxSGMByjpH4d55Bw-FTA8yrS3t-iCarOOXg6WycI5tzgH6Pi26kVmBIIgLg74w0N23sdXSdxZPDEwTofKrlns5v3jTVuUuLvqKSsUtfX4SqrPDvqGgqSvvKlQM91M52QXTtordlqyPgvdIt6oA4r-O66xd5Uam3Czpu4asR_2SYVJtc87buMzIySV71DxxWtMpdnDIZIxJ2_-YesJ1Ix64ozI-DvoAV-sReEINbUUVOaQj0L-uDDHbyA0jWdGERe3wTUv8QUOi9fFdhk1XUdV-ahOQiwC2N2Jt9D-fAIaxH8zLC_CbdTW3YVblQ1asiy4JTUCxxqoYBrUhmUwPSDWS-c_mpSnKvWb0C-UHudXt_6TJfaNOwXPR4InF0sl3ksAebaS2dY0g2mU7gOpPRFg3csMjYdA2XXfdi1pB_JQ-O-uiRjFE_3QTsF5HfunfvH1MkW82mvxRGylSyJ4JiqFjfTRaIO019wlUpl5Rdx0ABM9jQy6rbkv-8WE7rKkuwQ0zlXMH22wNY-SHM8voXy8tDPo1MmlzD3Uz3s5NFx39nX0MHS1cmOIlL84HegiQ-sW9v2G8W7hepDnplq4HUHwnQt56fHG-wwwF3adASrsSC8O1-Qs7a6TIjDZPfHbt_GgXUj66ymTMPTsBGf_4xdzLYRgHMjNG6ef8M4sEfH3lvEpLEgG7axkzGDYoYoXx9MEYoJQe_zVdIwF7dTJf-oOcnkkDPPOxQ578_lzgHU9T5wH2FcRYzxmm-YHx1vxq593ZiRwZ4tYuTVnns6ZydfJuQ_XZb8r0WbA-raPvBhqT9Nc31m5DlgsQe-p0XsBxkfWWmi3txnmgw3PdakFJZaAZk_RE9Ln-BMnGhaXb3dVOep8w1GfCkd-z_r0272Pq_1rMfDgtMrSIyLoCBq6isaN8B-2wc_vmjDl9xAiVr6cjUueeTPBZSplR_7zk-n7Kk4YWK5KCciAFQErLkcPxVJb0vrDSuBoF94qpzYjaV0slvMfT_8A9KA441P7krSiB26I38v_tZ3ibe5Kcv9DNrEKHZJIdkKQJYAgq9i2BpvUVqdM6mqzopBFux_pEaw9Q7tcfoUBajXAjYICMwiZ70S4wts2Qa47E2MyFrgMCkbdrE5Q8woXjvCbaNc7KLVkKaPBQBk0zA4DZaKES0DT1uBfN9EelFQZAPdp6Th1iY7I-_yCdUZEkvkOKGieqc3cKTbx8TsbQp3bYAHC-eTH6yGU8IyfCMV7U8l4m_FkkOCdEx08qzQr68PfWNKdc4aB895EwNOrxn4Vu2GSXdhIKBYeqgYZaxvZ164m4nto_Ns1vP50xdB5gpw0YzL-thh-OmaFhF5ylQsI7YC7Vnp2a389Vr_KKMO9zfCNS2oX4Bwndd0VTOpu1emH4K8bcyxd8Qpuc91oLNlX5RXp8qNA4PxE5D1S3m_Eicd-JEZvPH8f1uiHfojfC6qCmcEPkm-6ydBXSf4q8N4xeDZzOaIKV47xDtDCrxcT2bjzU3FwQ5G8eopq9rZeA23IWzuJH3p6HPFHkTpIgr5hloc4mhRmL2_FSpUhDNW_Mymk6WBeB3yt1-lcYjmwVhi7_Pm5LvD_McCuTYb-_qK9Sqq66WOjqACoCzbPZ_IMaX04Y2hoix27w2Xl1LfD71LFW-2KTpKpxr6XoNnPljdA2TEER2usjLutBrU2-V_wLGO0OA-lrPm8uaKDWYN-xunB4fngGTdQkiOcSEoGFeL6uHxT9dg10x3pmf5R_D6S46nrs7DEHW4ZDcwl8vdJdD9t52599VGT3LquG28k2XCoNxE4G_btOEegVizRryYvGnkuE2p5_79xyNLzwEYGp6WBIpu43MfPxlYortY3SeHSxaujlXOqI1akC8z1P_qnhtFs0xQPMU0IWcTCZeqAIhRXcWR68FUB7NoRFkv9g9viZ1PS0JWa6-41RKaQEqpZouJBDUUikpTilfO9CAIdVQDfb0_0AkwuH4rT1NkASPbaOeb8qfzCHdjOoIuAVbttIDWpPITGSyNp8HKtYzGF1mD9SCdULLUFtHvmCZEia7dJfbe5Gkywwpt9DZeqH6e-bfADxNBWIaCEs23W9HAlef-MjA3vov4_uQ0mgE4k3RkMqz6l2Qy7_MplKxc1aKFFWH4bjGo7YPiENLoLfugvbWE8nC7v1myl3qsiTw8F6SDa-JRRrjma4GR6gLIhSKfEDsDhe1Tqo24uvNFtolbKyhykxA7TKzijCWepgRypblFVOBHdacDlaqXvdfZZ7AZ7fzR_35u9gx1f-n7CpwBGXk3HQSQudBAwpmA42_OA-cnUxC0HgHAcefxJVTwBOyx2viG70BuKVi4gxiH-vGqGRcwiBXQnm7t6jDr_LapE3-VAUEHmjt0V4Q4pHUy_hiqvs1RWluYEKM_z58L5aBlc8OoAvVkH61t3DTH0SJJCjzACw4jyDuJ2WeFclRYN_11NlTeCjp6ZskNwGbH8zke6N3oBGxj16oQ05WSRmj07YyZDIPgRu0MYq-t9gxbzCOeZwHZ4gnCy0HVi5utvxAcn6jzWUPq5WRggnd6NK-Lzp7hKW9ualsGy4PsGp10hah0KzVC3oJShKmjsBL7WB5YFj3RzSB1_mEVkmTBPvehGeiMu_9WYHKj7kwj5_ul9kgjiu9OMQDz1zcUmOQQHPZ2C_SFTMlHeKl7WO1RhmzmVi8sgJSuSye2mqk_TVFi0HCutZw_c2k1FqFvL_k2O5dmb5WiSWDsjpPeFMU67wDrr5SN9kaPqww6OwALwWMAru_gbTYDIvMnbTgGuaJhbrUeteVfYhXvuCzPpbLi46Fi6j3tx1ugyviE-1FBq_e_jt6IWjJIYG7pIHIRdOPNqd7CixAiE9oTtZEkNBsWu8bJdgYff9XU1yOGW4EivvKKcCnrBuy6fc=\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Implementing rendered mode**\\n\\nI’m thinking about implementing rendered mode with various settings to ensure everything runs smoothly. It might involve using a headless browser with specific flags and a timeout. The user hinted at wanting different modes, like simple and rendered, so maybe I'll set the default to rendered for simplicity. I'd also like to check if we can generate both modes per article when the source allows it. I'll make sure to adjust the list based on what's available.\"},{\"type\":\"summary_text\",\"text\":\"**Setting capture modes**\\n\\nI’m considering how to handle capture modes, starting with rendered if the source supports it; otherwise, I'll fall back to simple. I could set the default to rendered for all sources, but that could be risky. Instead, I’m thinking of adding a specific field for capture modes and ensuring we can define it per source. I also want to manage this through environment variables. It's clear I'll need to rewrite the build.py file for clarity and efficiency.\"}]}"},{"type":"toolCall","id":"call_SdKVR08uhpOSOTv7g0dLYS7N|fc_0ed06d2db1e68cfd016a07443af51c8196ab40c7fa2d25f41b","name":"write","arguments":{"path":"/home/sebas/work/projects/rss-offline/build.py","content":"#!/usr/bin/env python3\nimport email.utils\nimport hashlib\nimport json\nimport os\nimport subprocess\nimport time\nimport xml.etree.ElementTree as ET\nfrom datetime import datetime, timedelta, timezone\nfrom html import escape\nfrom pathlib import Path\nfrom urllib.parse import urljoin, urlparse\n\nimport requests\nfrom bs4 import BeautifulSoup\n\nBASE_DIR = Path(__file__).resolve().parent\nSOURCES_PATH = BASE_DIR / 'feed-sources.json'\nDATA_DIR = BASE_DIR / 'data'\nOUTPUT_DIR = Path('/var/www/rss-offline')\nMAX_ENTRIES = int(os.environ.get('RSS_OFFLINE_MAX_ENTRIES', '250'))\nDAYS = int(os.environ.get('RSS_OFFLINE_DAYS', '14'))\nTIMEOUT = 20\nHEADERS = {'user-agent': 'Mozilla/5.0 (rss-offline builder)'}\nDEFAULT_CAPTURE_MODE = os.environ.get('RSS_OFFLINE_CAPTURE_MODE', 'rendered').strip().lower() or 'rendered'\nRENDER_BUDGET_MS = int(os.environ.get('RSS_OFFLINE_RENDER_BUDGET_MS', '8000'))\nMAX_ASSETS_PER_PAGE = int(os.environ.get('RSS_OFFLINE_MAX_ASSETS_PER_PAGE', '24'))\nMAX_ASSET_BYTES = int(os.environ.get('RSS_OFFLINE_MAX_ASSET_BYTES', '1500000'))\nALLOWED_ASSET_EXTENSIONS = ('.css', '.js', '.mjs', '.png', '.jpg', '.jpeg', '.gif', '.svg', '.webp', '.ico', '.woff', '.woff2', '.ttf')\nCHROMIUM_BIN = os.environ.get('RSS_OFFLINE_CHROMIUM_BIN', '/usr/bin/chromium')\n\n\ndef fetch(url: str) -> requests.Response:\n    response = requests.get(url, timeout=TIMEOUT, headers=HEADERS)\n    response.raise_for_status()\n    return response\n\n\ndef text(node, path_options):\n    for path in path_options:\n        found = node.find(path)\n        if found is not None and found.text and found.text.strip():\n            return found.text.strip()\n    return ''\n\n\ndef entry_links(item):\n    for tag in ['link', '{http://www.w3.org/2005/Atom}link']:\n        for node in item.findall(tag):\n            href = node.get('href') or (node.text or '').strip()\n            if href:\n                rel = node.get('rel', 'alternate')\n                if rel in ('alternate', ''):\n                    return href\n    return ''\n\n\ndef parse_timestamp(raw: str) -> int:\n    raw = (raw or '').strip()\n    if not raw:\n        return 0\n    try:\n        return int(email.utils.parsedate_to_datetime(raw).timestamp())\n    except Exception:\n        pass\n    try:\n        return int(datetime.fromisoformat(raw.replace('Z', '+00:00')).timestamp())\n    except Exception:\n        return 0\n\n\ndef slug(url: str) -> str:\n    return hashlib.sha256(url.encode()).hexdigest()[:16]\n\n\ndef asset_rel_path(entry_key: str, asset_url: str, content_type: str = '') -> str:\n    parsed = urlparse(asset_url)\n    raw = (parsed.path or '').lower()\n    ext = Path(raw).suffix\n    if not ext:\n        if 'css' in content_type:\n            ext = '.css'\n        elif 'javascript' in content_type:\n            ext = '.js'\n        elif 'svg' in content_type:\n            ext = '.svg'\n        elif 'png' in content_type:\n            ext = '.png'\n        elif 'jpeg' in content_type:\n            ext = '.jpg'\n        elif 'webp' in content_type:\n            ext = '.webp'\n        elif 'gif' in content_type:\n            ext = '.gif'\n        elif 'woff2' in content_type:\n            ext = '.woff2'\n        elif 'woff' in content_type:\n            ext = '.woff'\n        elif 'html' in content_type:\n            ext = '.html'\n        else:\n            ext = '.bin'\n    name = hashlib.sha256(asset_url.encode()).hexdigest()[:16] + ext\n    return f'assets/{entry_key}/{name}'\n\n\ndef fetch_asset(url: str) -> requests.Response:\n    response = requests.get(url, timeout=TIMEOUT, headers=HEADERS, stream=True)\n    response.raise_for_status()\n    return response\n\n\ndef should_keep_asset(node, parsed):\n    path_lower = parsed.path.lower()\n    if any(path_lower.endswith(ext) for ext in ALLOWED_ASSET_EXTENSIONS):\n        return True\n    if node.name == 'link' and 'stylesheet' in ' '.join(node.get('rel', [])).lower():\n        return True\n    if node.name == 'script' and parsed.path:\n        return True\n    return False\n\n\ndef mirror_assets(entry, soup, entry_key: str):\n    page_origin = urlparse(entry['link']).netloc\n    mirrored = {}\n    total_bytes = 0\n    count = 0\n\n    def candidates():\n        for tag, attr in [('link', 'href'), ('script', 'src'), ('img', 'src'), ('source', 'src')]:\n            for node in soup.find_all(tag):\n                ref = node.get(attr)\n                if ref:\n                    yield node, attr, ref\n\n    for node, attr, ref in candidates():\n        if count >= MAX_ASSETS_PER_PAGE or total_bytes >= MAX_ASSET_BYTES:\n            break\n        asset_url = urljoin(entry['link'], ref)\n        parsed = urlparse(asset_url)\n        if parsed.scheme not in ('http', 'https'):\n            continue\n        if parsed.netloc != page_origin:\n            continue\n        if not should_keep_asset(node, parsed):\n            continue\n        try:\n            rel = mirrored.get(asset_url)\n            if rel is None:\n                res = fetch_asset(asset_url)\n                content_type = res.headers.get('content-type', '').lower()\n                rel = asset_rel_path(entry_key, asset_url, content_type)\n                data = b''\n                limit_hit = False\n                for chunk in res.iter_content(65536):\n                    if not chunk:\n                        continue\n                    data += chunk\n                    if len(data) + total_bytes > MAX_ASSET_BYTES:\n                        limit_hit = True\n                        break\n                res.close()\n                if limit_hit or not data:\n                    continue\n                out = OUTPUT_DIR / rel\n                out.parent.mkdir(parents=True, exist_ok=True)\n                out.write_bytes(data)\n                mirrored[asset_url] = rel\n                total_bytes += len(data)\n                count += 1\n            node[attr] = '/rss-offline/' + rel\n        except Exception:\n            continue\n\n\ndef render_page(url: str) -> str:\n    cmd = [\n        CHROMIUM_BIN,\n        '--headless=new',\n        '--disable-gpu',\n        '--no-sandbox',\n        '--run-all-compositor-stages-before-draw',\n        f'--virtual-time-budget={RENDER_BUDGET_MS}',\n        '--dump-dom',\n        url,\n    ]\n    result = subprocess.run(cmd, capture_output=True, text=True, timeout=max(TIMEOUT, (RENDER_BUDGET_MS // 1000) + 10), check=True)\n    html = result.stdout.strip()\n    if not html:\n        raise RuntimeError('empty rendered DOM')\n    return html\n\n\ndef capture_page(entry):\n    preferred = (entry.get('capture_mode') or DEFAULT_CAPTURE_MODE).lower()\n    modes = [preferred] + [mode for mode in ('rendered', 'simple') if mode != preferred]\n    errors = []\n    for mode in modes:\n        try:\n            if mode == 'rendered':\n                return render_page(entry['link']), 'rendered'\n            if mode == 'simple':\n                return fetch(entry['link']).text, 'simple'\n        except Exception as e:\n            errors.append(f'{mode}:{e}')\n    raise RuntimeError(' ; '.join(errors))\n\n\ndef make_local_copy(entry, page_html: str, entry_key: str) -> str:\n    soup = BeautifulSoup(page_html, 'html.parser')\n\n    if soup.head is None:\n        head = soup.new_tag('head')\n        if soup.html is None:\n            html = soup.new_tag('html')\n            html.append(head)\n            body = soup.new_tag('body')\n            for child in list(soup.contents):\n                body.append(child.extract())\n            html.append(body)\n            soup.append(html)\n        else:\n            soup.html.insert(0, head)\n\n    if soup.head.find('meta', attrs={'charset': True}) is None:\n        soup.head.insert(0, soup.new_tag('meta', charset='utf-8'))\n    if soup.head.find('meta', attrs={'name': 'viewport'}) is None:\n        soup.head.append(soup.new_tag('meta', attrs={'name': 'viewport', 'content': 'width=device-width, initial-scale=1'}))\n\n    for base in soup.head.find_all('base'):\n        base.decompose()\n    soup.head.insert(0, soup.new_tag('base', href=entry['link']))\n\n    banner_css = (\n        'body{margin-top:72px!important}'\n        '.rss-offline-banner{position:fixed;top:0;left:0;right:0;z-index:2147483647;'\n        'background:#07111f;color:#fff;padding:12px 16px;font:14px/1.4 system-ui,sans-serif;'\n        'box-shadow:0 1px 0 rgba(255,255,255,.08)}'\n        '.rss-offline-banner a{color:#8dc3ff;text-decoration:none}'\n        '.rss-offline-banner strong{color:#fff}'\n        '.rss-offline-banner .muted{opacity:.78}'\n    )\n    style = soup.new_tag('style')\n    style.string = banner_css\n    soup.head.append(style)\n\n    mirror_assets(entry, soup, entry_key)\n\n    banner = BeautifulSoup(\n        f'
← rss-offline · '\n        f'abrir original · '\n        f'{escape(entry[\"title\"])} [{escape(entry[\"captured_mode\"])}] · '\n        f'{escape(entry[\"feed\"])} · {escape(entry[\"date_label\"])}
',\n        'html.parser'\n    )\n    body = soup.body or soup\n    body.insert(0, banner)\n\n    return '<!doctype html>\\n' + str(soup)\n\n\ndef load_sources():\n    sources = json.loads(SOURCES_PATH.read_text())\n    for source in sources:\n        source['captureMode'] = (source.get('captureMode') or DEFAULT_CAPTURE_MODE).lower()\n    return sources\n\n\ndef build():\n    DATA_DIR.mkdir(parents=True, exist_ok=True)\n    OUTPUT_DIR.mkdir(parents=True, exist_ok=True)\n    sources = load_sources()\n    cutoff = int((datetime.now(timezone.utc) - timedelta(days=DAYS)).timestamp())\n    entries = []\n\n    for source in sources:\n        try:\n            response = fetch(source['feedUrl'])\n            xml_text = response.text\n            root = ET.fromstring(xml_text)\n        except Exception as e:\n            print('FEED_ERR', source['name'], e)\n            continue\n\n        items = []\n        if root.tag.endswith('rss'):\n            channel = root.find('channel')\n            items = channel.findall('item') if channel is not None else []\n        else:\n            items = root.findall('{http://www.w3.org/2005/Atom}entry')\n\n        for item in items:\n            title = text(item, ['title', '{http://www.w3.org/2005/Atom}title']) or source['name']\n            link = entry_links(item)\n            if not link:\n                continue\n            link = urljoin(source['siteUrl'], link)\n            ts = parse_timestamp(text(item, ['pubDate', '{http://www.w3.org/2005/Atom}updated', '{http://www.w3.org/2005/Atom}published']))\n            if ts and ts < cutoff:\n                continue\n            entries.append({\n                'feed': source['name'],\n                'feed_url': source['feedUrl'],\n                'title': title,\n                'link': link,\n                'timestamp': ts,\n                'capture_mode': source['captureMode'],\n            })\n\n    entries.sort(key=lambda item: item['timestamp'], reverse=True)\n    entries = entries[:MAX_ENTRIES]\n\n    archived = []\n    for entry in entries:\n        try:\n            page_html, used_mode = capture_page(entry)\n            key = slug(entry['link'])\n            article_file = OUTPUT_DIR / f'article-{key}.html'\n            entry['local_path'] = f'/rss-offline/article-{key}.html'\n            entry['date_label'] = datetime.fromtimestamp(entry['timestamp'] or time.time(), tz=timezone.utc).astimezone().strftime('%Y-%m-%d %H:%M')\n            entry['captured_mode'] = used_mode\n            article_file.write_text(make_local_copy(entry, page_html, key))\n            archived.append(entry)\n            print('OK', used_mode, entry['link'])\n        except Exception as e:\n            print('ARTICLE_ERR', entry['link'], e)\n\n    index = OUTPUT_DIR / 'index.html'\n    sw = OUTPUT_DIR / 'sw.js'\n    offline = OUTPUT_DIR / 'offline.html'\n    json_index = OUTPUT_DIR / 'entries.json'\n\n    json_index.write_text(json.dumps(archived, ensure_ascii=False, indent=2))\n\n    cards = []\n    for entry in archived:\n        cards.append(f'''

{escape(entry['title'])}

{escape(entry['feed'])} · {escape(entry['date_label'])}

modo: {escape(entry['captured_mode'])} · blog real

''')\n\n    local_paths = [entry['local_path'] for entry in archived]\n    index.write_text(f'''<!doctype html><meta charset=\"utf-8\"><meta name=\"viewport\" content=\"width=device-width, initial-scale=1\"><meta name=\"theme-color\" content=\"#07111f\"><title>rss-offline</title>

rss-offline

Artículos por fecha con página local completa, modo visible y link real.

{len(archived)} artículos · últimos {DAYS} días

{''.join(cards)}''')\n\n    offline.write_text('<!doctype html><meta charset=\"utf-8\"><meta name=\"viewport\" content=\"width=device-width, initial-scale=1\"><title>rss-offline sin conexión</title>
Sin conexión

La lista y copias locales visitadas deberían seguir disponibles.

Volver a rss-offline
')\n\n    precache_paths = ['/rss-offline/', '/rss-offline/offline.html', '/rss-offline/entries.json'] + [entry['local_path'] for entry in archived]\n    sw.write_text(f\"\"\"const V='rss-offline-v4';const CORE=V+'-core';const PAGES=V+'-pages';const PRECACHE={json.dumps(precache_paths, ensure_ascii=False)};self.addEventListener('install',e=>{{e.waitUntil(caches.open(CORE).then(c=>c.addAll(PRECACHE)));self.skipWaiting();}});self.addEventListener('activate',e=>{{e.waitUntil(caches.keys().then(keys=>Promise.all(keys.filter(k=>!k.startsWith(V)).map(k=>caches.delete(k)))).then(()=>self.clients.claim()));}});self.addEventListener('fetch',e=>{{const r=e.request;const u=new URL(r.url);if(r.method!=='GET'||u.origin!==self.location.origin||!u.pathname.startsWith('/rss-offline/'))return;e.respondWith((async()=>{{const core=await caches.open(CORE);const pages=await caches.open(PAGES);const cached=await core.match(r)||await pages.match(r);try{{const res=await fetch(r);if(res.ok) await pages.put(r,res.clone());return res;}}catch{{return cached||await core.match('/rss-offline/offline.html')||Response.error();}}}})());}});\"\"\")\n\n\nif __name__ == '__main__':\n    build()\n"}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":453,"output":4736,"cacheRead":49664,"cacheWrite":0,"totalTokens":54853,"cost":{"input":0.0011325,"output":0.07104,"cacheRead":0.012416,"cacheWrite":0,"total":0.0845885}},"stopReason":"toolUse","timestamp":1778861105231,"responseId":"resp_0ed06d2db1e68cfd016a0744315fb88196a9049bf9118b033c"}}
/home/sebas/pi-config/sessions/--home-sebas--/2026-05-15T13-21-22-432Z_019e2bcc-7dff-77dc-a119-d1702176bbb8.jsonl:94:{"type":"message","id":"a58b52f9","parentId":"99f2351c","timestamp":"2026-05-15T16:06:31.732Z","message":{"role":"toolResult","toolCallId":"call_SdKVR08uhpOSOTv7g0dLYS7N|fc_0ed06d2db1e68cfd016a07443af51c8196ab40c7fa2d25f41b","toolName":"write","content":[{"type":"text","text":"Successfully wrote 15660 bytes to /home/sebas/work/projects/rss-offline/build.py"}],"isError":false,"timestamp":1778861191719}}
/home/sebas/pi-config/sessions/--home-sebas--/2026-05-15T13-21-22-432Z_019e2bcc-7dff-77dc-a119-d1702176bbb8.jsonl:95:{"type":"message","id":"34db45f2","parentId":"a58b52f9","timestamp":"2026-05-15T16:06:36.786Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Considering update options**\n\nI’m thinking about updating the feed sources to include captureMode. But, hmm, it might not be necessary if the default is already rendered. Showing the available mode should reflect the used mode, which may be enough. I wonder if explicitly adding captureMode to some would help, but probably not. I think I need to just run the compile and build process to see how everything functions as is.","thinkingSignature":"{\"id\":\"rs_0ed06d2db1e68cfd016a074488c7148196a0317f5e6551aa62\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABqB0SMY67PtrxMBPYgWbCnRQBxhM67bHxoN72W_HT2gTgGtN3hbTxLORQnEnZurAHOuw-es27r8Hz1x4H45Wgvk1Wfh2hCmPtBlP9ErnuxIjWukbrmb0yZzpiFkaIudbriThalWljr8WdAactEfAmewQVj20Frz59vKEwcJYVeDhujlqti2STh1CdGfKD98bgs9CifCA0cY2irKn8_sP-gfbnpSqEhW8uf_4E-mOnskNa8ZTJbVeCp-xjXRbmuh2KgIa77X5eX0FuB-dy3Nh1Hc5Kzhd2WaXss8_sgnaFXiEIZjvp_5ggmMzqzlKdhkA5Mi8u5tlClPfJZHw-n-T3zxVxWSACZHvNXppkKWCfzQ3phmLn_axT-7LhwiEKfhzeXJIUbAoCikOy5us_Rd1B0_gzYs_P0taERf8oq3J_83Q88Z0CbXcuxqgd4ITWA4Ouuv3_CFlQnCeqGLs0gdKFkCKT88lkpITjh7vKRajnWu61Cr1A3VdWnz8B02L51ZlPnBrqwAt0CdC9-OvEs6p9IapklQpkqtazRfnOVSCjr-e8el-pTXlNoObXUcmrJYk-mhd-FuMJaQbjzeapb2Q8zbUm_5Ip3mJ2YG9AwTVCm9KB1diUuLQte0MnQWmIKPi7TaujncpkZZRDdnpUh7b9msIc-pgknhPvyufVxqatzTsUhC0JQl0MWgV0MgWD3Q5ZqEHtdlw6Y89nosGFnna6o4sV8RTdIbBB4MMEAPkDysY5sOzrhjzustA0vsIUq7hnRw_fBi0vZ64I5Xy_7u3gdF170EYMBmfMcgBg8-dPuREWwAJ_WVvIQ94-4mzRNdGWlI7zDtGdJQ-8_ZE5i0uIgXn5y6_VS_aAt-11vX3mpkiusUXpdqVtckCEOi53gMqUmo4xdF286OYuSk0nkl_J43RT1XmkvOYz45tonuOMIJAOiCzn_AZ4m4WqKfrmhckBBZhgK__YWIE24YCzFEcwV4zvqXRrXJARTaymkNYTV9FkY1TJswf-QzmOycm13HgJ4qY4N_fhFIwWN-PqX3_QCwbQr617xOaBnHr6kvpP_sSwibUhXnPCwnFXzwJiulZGn2GuHlk5d79k8dl-gVuErXHZue7B1Ut5kQ2icrfSwVlZ02sSE1kH1T_wBIuk3LLxgbmh10BB9ed9vnkVptP3yT1eoqmzEw16pOcnPUJscUBn7j6USaLZdC3bMXpTJuNr1vebeuPoGwdyHxNM3exWbTJrCtA==\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Considering update options**\\n\\nI’m thinking about updating the feed sources to include captureMode. But, hmm, it might not be necessary if the default is already rendered. Showing the available mode should reflect the used mode, which may be enough. I wonder if explicitly adding captureMode to some would help, but probably not. I think I need to just run the compile and build process to see how everything functions as is.\"}]}"},{"type":"toolCall","id":"call_ZCUYycDXQ1IgG7G6sGrNJftf|fc_0ed06d2db1e68cfd016a07448c6ab881968b954a96e8022968","name":"bash","arguments":{"command":"python3 -m py_compile /home/sebas/work/projects/rss-offline/build.py && echo OK","timeout":20}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":5217,"output":93,"cacheRead":49664,"cacheWrite":0,"totalTokens":54974,"cost":{"input":0.0130425,"output":0.001395,"cacheRead":0.012416,"cacheWrite":0,"total":0.026853500000000002}},"stopReason":"toolUse","timestamp":1778861191733,"responseId":"resp_0ed06d2db1e68cfd016a074487ddac819699675c2a8c79dfa4"}}
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/home/sebas/pi-config/sessions/--home-sebas--/2026-05-15T13-21-22-432Z_019e2bcc-7dff-77dc-a119-d1702176bbb8.jsonl:107:{"type":"message","id":"c77a9251","parentId":"b7c0e152","timestamp":"2026-05-15T16:18:16.944Z","message":{"role":"toolResult","toolCallId":"call_gLNLiIZLVYEFCpMsJJHSlqQJ|fc_0ed06d2db1e68cfd016a07473f8ae08196a43bacb391932a10","toolName":"edit","content":[{"type":"text","text":"Successfully replaced 4 block(s) in /home/sebas/work/projects/rss-offline/build.py."}],"details":{"diff":"     ...\n  23 TIMEOUT = 20\n  24 HEADERS = {'user-agent': 'Mozilla/5.0 (rss-offline builder)'}\n  25 DEFAULT_CAPTURE_MODE = os.environ.get('RSS_OFFLINE_CAPTURE_MODE', 'rendered').strip().lower() or 'rendered'\n  26 RENDER_BUDGET_MS = int(os.environ.get('RSS_OFFLINE_RENDER_BUDGET_MS', '8000'))\n+ 27 MAX_RENDERED_ENTRIES = int(os.environ.get('RSS_OFFLINE_MAX_RENDERED_ENTRIES', '8'))\n  27 MAX_ASSETS_PER_PAGE = int(os.environ.get('RSS_OFFLINE_MAX_ASSETS_PER_PAGE', '24'))\n  28 MAX_ASSET_BYTES = int(os.environ.get('RSS_OFFLINE_MAX_ASSET_BYTES', '1500000'))\n  29 ALLOWED_ASSET_EXTENSIONS = ('.css', '.js', '.mjs', '.png', '.jpg', '.jpeg', '.gif', '.svg', '.webp', '.ico', '.woff', '.woff2', '.ttf')\n  30 CHROMIUM_BIN = os.environ.get('RSS_OFFLINE_CHROMIUM_BIN', '/usr/bin/chromium')\n     ...\n 191         raise RuntimeError('empty rendered DOM')\n 192     return html\n 193 \n 194 \n-195 def capture_page(entry):\n+196 def capture_page(entry, rendered_allowed: bool):\n 196     preferred = (entry.get('capture_mode') or DEFAULT_CAPTURE_MODE).lower()\n-197     modes = [preferred] + [mode for mode in ('rendered', 'simple') if mode != preferred]\n+198     if preferred == 'rendered' and not rendered_allowed:\n+199         preferred = 'simple'\n+200     modes = [preferred] + [mode for mode in ('rendered', 'simple') if mode != preferred and (mode != 'rendered' or rendered_allowed)]\n 198     errors = []\n 199     for mode in modes:\n 200         try:\n 201             if mode == 'rendered':\n     ...\n 311     entries.sort(key=lambda item: item['timestamp'], reverse=True)\n 312     entries = entries[:MAX_ENTRIES]\n 313 \n 314     archived = []\n+318     rendered_used = 0\n 315     for entry in entries:\n 316         try:\n-317             page_html, used_mode = capture_page(entry)\n+321             wants_rendered = (entry.get('capture_mode') or DEFAULT_CAPTURE_MODE) == 'rendered'\n+322             page_html, used_mode = capture_page(entry, rendered_allowed=(rendered_used < MAX_RENDERED_ENTRIES or not wants_rendered))\n 318             key = slug(entry['link'])\n 319             article_file = OUTPUT_DIR / f'article-{key}.html'\n 320             entry['local_path'] = f'/rss-offline/article-{key}.html'\n 321             entry['date_label'] = datetime.fromtimestamp(entry['timestamp'] or time.time(), tz=timezone.utc).astimezone().strftime('%Y-%m-%d %H:%M')\n 322             entry['captured_mode'] = used_mode\n 323             article_file.write_text(make_local_copy(entry, page_html, key))\n+329             if used_mode == 'rendered':\n+330                 rendered_used += 1\n 324             archived.append(entry)\n 325             print('OK', used_mode, entry['link'])\n 326         except Exception as e:\n 327             print('ARTICLE_ERR', entry['link'], e)\n     ...","firstChangedLine":27},"isError":false,"timestamp":1778861896942}}
/home/sebas/pi-config/sessions/--home-sebas--/2026-05-15T13-21-22-432Z_019e2bcc-7dff-77dc-a119-d1702176bbb8.jsonl:108:{"type":"message","id":"d3d06cfb","parentId":"c77a9251","timestamp":"2026-05-15T16:18:24.087Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_0ed06d2db1e68cfd016a07474a1a6081969dbab3deb4d13157\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABqB0dNUkvYWaW0PWneAvsriyyBgBWbz_IZxyi2c-hiPG5rr4d8IVp_5gUzbcc8657soqg1b3bSy40-bxM6Yxdw1anIbleKaalYBRQN7qowDsjTvveRU67CBv-d7cZGskFs8W_b-BnVI9RAgqTpLcJasSpNiKnSyMlVkk0Bd5tD7TNlKg6P5kh6gft-JWKNaD8Lt-GFwZf9r2Jlhsu__R8PS0tLzEAw0h7zU7CpPyDH7XIOvE1QmTgxs0LtuVkrexcT6Sfw_Xca910QkLRm_n-PGnEoZSHASLHXt_MGJHZI9sTCHCtBxEuxmRsox-j3sH6RAmtKSjTP32datEY5orhZVw6bG9_PG63mNMRYpGeBXYtLnUAaZMjTR9F2PYFjywg1vmPzVaD4QBBhF86HTsXYQlbUVmRkhjNk43J6wHRsOkwkOam4WmhT9AS20K7JzaHHd7ioXuvbbxngQj-8Ye2hm9SNU5b-eeD6qAXBxJ0t57vtCEGTlSGQsTsjzdsZBfYj8urE4iKyjx1awORC-zr6sgMMyp7vlaTX06kE4y-prUDLqMJ0tBSc4dI3J6vMaUV0L7Cg2d2Ru0CoSO7-v9CgizluCBQY3nHQFyexZiePFiQGsN_UOkTX1dbRUrW7X9XTu7Lyf0NqHwymsxM3Mev3LL8TUQwBRZckYMrIUwRZlyl0I7O7m0QSE6nPXUUU6Evr9BxnBbvwl87CLcTxikwFNQxC3BFSeOrBbfFz3VtbGln7X6NPFNd4MpyUknixcyXcDouQkw4rPCIYECUt2fjPDElPG0z4mQTTDTnN69CWSDRs3zZJErcTwzuVQq-7_55GjAhDueKHofiMDeaYYZh0JGxRcO4_190xl7TTPnW4-hMeDtCUhY5JqJK_X00ZxFBRmeUS2bqUJwhaeKzhRIaKEBnZLxPa0GQDAZjKWCYty0T52JaRzTbDprCdTvLcb6lylcKyelM9Z19Wr7l7MP2h8FjWLCWsZIg9SSupSv4aiQYi4WhPX1qm20fqyFrAAiGDNEKDru2u3XMVyeRS5T8uwdXP9BUPPb_VviJLNo88NgQrSveri7mDvMedGABZDYBe5KjrLfY9vmSf1atNxVHzMOzm1hmjian4kOz4qCCdZ-kiGtqtJvqrgnPX3-cwpGo1XhA977cNXmJP1p16EuABG53Gj4MX0_PdAYgj8dIxxb-RncROS43-DgsdUZJcgsTWRwIU0bY1T26-u7yUH4iaLeaOGiZVuCvycsdQZieaY6Q2VV4KdbCrzicoaPG1H0ibudaR5Cr5Q1Q677AwsscWAUFa6MNIaqSsC65xjGbSgQVfgsEhQZBDxq-TLA7LqHTsWQzCapH8Nnh0RvCZHSIzRKeO18klB6jS2d3QHfePsFg4pxV8a7QD44vPzg9Jr1LwWilPthZrDZz2GEClVCFqMlTIN0oYGQiufawIyvgXvOtNrgFPBcY4N3KKJHFrCfZO3-e8aruEyblzF3eugnOhNuzKaHXV5w7oS9SnXktwAab0wRZwDORhD4BUHZf5Gb4_raqpjyprD8HJNF2npfwQa6YE99kGLUdTQrcUPoBJea6Sint5NerYEqpvY3LJ4vBa9vRaC7QO1HlXjyF_H8CG9Lr1jiak-OkHwCsNsFzn6-L-RlGXjKExbG6bmQuTLiKmgt5ozbbbb_c-_IGf9XTVMrhWEw-EFwDFux6LRopo9bfoTHzyH6jzFZKPSpqVIfHkUsaC95-ySSCs6Xaaw6C-I84DpHEkN7rxEFpgvueNiZyeOvDt9Xc7m091vdBGRdt144u8NkV_Drk6ClX83MAIfeV5O2UTZ-YWBZMLLI2S5cKWZJZ3G6aUX31sz3NQ72-WhxULJgMIsxXz8xusGjwLHj7pZBqPz7TRfborstm_85x_PuxQDXAvKgsafzEsuhNlmepANKRNg6sexX0_Rb743xCbBHddKHt_rin-5wLquUPw7NXCvns3BgU8afEmQwHkpEa-qwUPX7GlWmzoyGhNj77-8fAGZ3TPPSeuNgR6y9RXj6FnCLCUQzL7S8uBJmJOzF9sDVCd019znQToV4o4_MNwyQ==\",\"summary\":[]}"},{"type":"toolCall","id":"call_2PLaG6FICzgI6Z4oF8BNS5D4|fc_0ed06d2db1e68cfd016a07474d863c81969d4e1df8c7d04752","name":"bash","arguments":{"command":"python3 -m py_compile /home/sebas/work/projects/rss-offline/build.py && cd /home/sebas/work/projects/rss-offline && sudo python3 build.py > /tmp/rss-build-run.log 2>&1 && tail -n 20 /tmp/rss-build-run.log && python3 - <<'PY'\nimport json\nfrom pathlib import Path\nentries=json.loads(Path('/var/www/rss-offline/entries.json').read_text())\nfrom collections import Counter\nprint('entries', len(entries))\nprint('modes', dict(Counter(e.get('captured_mode') for e in entries)))\nPY","timeout":240}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":768,"output":316,"cacheRead":56320,"cacheWrite":0,"totalTokens":57404,"cost":{"input":0.0019200000000000003,"output":0.00474,"cacheRead":0.014079999999999999,"cacheWrite":0,"total":0.02074}},"stopReason":"toolUse","timestamp":1778861896946,"responseId":"resp_0ed06d2db1e68cfd016a0747491ec48196b940db9e9b2d592b"}}
/home/sebas/pi-config/sessions/--home-sebas--/2026-05-15T13-21-22-432Z_019e2bcc-7dff-77dc-a119-d1702176bbb8.jsonl:111:{"type":"message","id":"f80cd200","parentId":"b1b49156","timestamp":"2026-05-15T16:21:09.120Z","message":{"role":"toolResult","toolCallId":"call_ihipz103aNgdyXMDdk5YP0Hj|fc_0ed06d2db1e68cfd016a0747f4dc18819680d83b2b4f9c05ec","toolName":"todo","content":[{"type":"text","text":"Updated #4 (in_progress → completed)"}],"details":{"action":"update","params":{"action":"update","id":4,"status":"completed"},"tasks":[{"id":1,"subject":"Remove FreshRSS project references and assets","status":"completed","description":"Find and remove FreshRSS project code, docs, links, and todo items from local workspace/config.","activeForm":"removing FreshRSS project","owner":"Sebas-agent"},{"id":2,"subject":"Change offline RSS capture to save full local pages","status":"completed","description":"Update RSS offline flow to store full blog pages locally instead of text-only captures.","activeForm":"updating offline RSS capture","owner":"Sebas-agent"},{"id":3,"subject":"Add asset mirroring to rss-offline local captures","status":"completed","description":"Extend rss-offline builder to download same-origin page assets like CSS, JS, images, and fonts, rewrite captured HTML to local asset paths, and keep size/count limits for pragmatic offline UX.","activeForm":"adding asset mirroring","owner":"Sebas-agent"},{"id":4,"subject":"Add rendered snapshot mode to rss-offline","status":"completed","description":"Add a Playwright/Chromium rendered capture mode to rss-offline, support per-feed/domain mode selection, and show available mode in the list UI.","activeForm":"adding rendered snapshot mode","owner":"Sebas-agent"}],"nextId":5},"isError":false,"timestamp":1778862069119}}

[Showing lines 101-111 of 111 (50.0KB limit). Full output: /tmp/pi-bash-d1cebb9c32c01e90.log]


QUERY gastos europa
profile | Sebas work philosophy
decision | Codex should launch with agents-database as writable extra dir
artifact | Raycast hotkey
artifact | Raycast AI manual
profile | Sebas evidence preference favors public-source aggregation

QUERY OurVend ads blocked hidden
profile | Ballbox company overview
episode | Task completed: Fresh CLI smoke task: summarize current system readiness and suggest one safe internal coordinati...
decision | Vending web v1 scope and test notification
project | Vibes service needs provider env
artifact | Vending setup day manual added

QUERY html-first accessibility Ballbox Martin Alderson
artifact | webhook.ts
decision | Ballbox decision priority: cost and business impact over elegance
artifact | mercadoPagoProvider.ts
decision | Ballbox alias resolution rule for Volvox mentions
task_hint | Legacy task: Repo target confirmed: ballbox-payment-integration

QUERY local HTML copy rss-offline
artifact | Capture Verification
episode | rss-offline PDF pack stabilized for iPhone test
episode | Installed Vibes on ballbox-first
artifact | Research claim: The repo is buildable and passes its current local verification gate, but that g
task_hint | Legacy task: Local verification run on 2026-03-11: npm run typecheck passed; npm test passed.


**Writing memory entries**

I'm thinking I need to write about four memories: the gastos-europa project, the rss-offline full page local copy, the vending real-backed complete, and possibly the ballbox html-first decision. I need to ensure there are no duplicates. It might be useful to include project IDs if I know them, but if not, I wonder if using repo IDs is necessary. I can use the memory-write helper to take care of these four entries.

bash

~/.agents/skills/memory-write/memory-write --type project --scope project --title "gastos-europa stores raw receipts and published allocator app" --content "The gastos-europa project keeps original receipt/card screenshots plus extracted text under /home/sebas/work/gastos-europa/raw, builds a derived transactions dataset, and publishes a phone-friendly allocation UI with persistence and URL filters for Sebas/Vicky shared-expense classification. On 2026-05-15 it also absorbed additional Deel/Airbnb screenshots and the dataset parser was hardened to tolerate notes like insufficient-funds or reversed transactions." --source-ref "session:019e2b5e-7c86-743e-a727-efe867ba7d5f" --origin-agent personal-agent

~/.agents/skills/memory-write/memory-write --type project --scope project --title "rss-offline saves full local blog pages with mirrored assets" --content "On 2026-05-15, rss-offline pivoted away from text-only article capture. The builder now saves full local HTML copies of blog pages, mirrors same-origin assets locally, supports rendered Chromium snapshots with a bounded rendered-entry cap and simple fallback, and shows the used capture mode in the UI for better offline fidelity." --source-ref "session:019e2bcc-7dff-77dc-a119-d1702176bbb8" --origin-agent personal-agent

~/.agents/skills/memory-write/memory-write --type project --scope project --title "OurVend real-ui migration finished with ads blocked hidden" --content "By 2026-05-22, vending-status-pages completed its current real-backend migration: visible routes like /, /products, /products/new, /ads, /machines, and /api/machines/2601070188/feed were revalidated as vendor-backed, fake local business truth was removed, and unsupported ad CRUD remained blocked/hidden until a confirmed OurVend endpoint exists." --source-ref "session:019e5039-0145-746b-a4be-37c5c81d82aa" --origin-agent personal-agent

~/.agents/skills/memory-write/memory-write --type decision --scope project --title "Ballbox accessibility should follow html-first in Next" --content "For Ballbox, Next.js is not the obstacle to html-first accessibility. The durable rule is to start each screen as valid semantic HTML with native links/forms/buttons/labels first, use JS only as enhancement, and avoid custom div-based widgets unless native semantics are insufficient." --source-ref "session:019e34e8-42bf-7188-b802-c22ee31bc60c" --origin-agent personal-agent


gastos-europa stores raw receipts and published allocator app

The gastos-europa project keeps original receipt/card screenshots plus extracted text under /home/sebas/work/gastos-europa/raw, builds a derived transactions dataset, and publishes a phone-friendly allocation UI with persistence and URL filters for Sebas/Vicky shared-expense classification. On 2026-05-15 it also absorbed additional Deel/Airbnb screenshots and the dataset parser was hardened to tolerate notes like insufficient-funds or reversed transactions.

Summary: The gastos-europa project keeps original receipt/card screenshots plus extracted text under /home/sebas/work/gastos-europa/raw, builds a derived transactions dataset, and publishe…


rss-offline saves full local blog pages with mirrored assets

On 2026-05-15, rss-offline pivoted away from text-only article capture. The builder now saves full local HTML copies of blog pages, mirrors same-origin assets locally, supports rendered Chromium snapshots with a bounded rendered-entry cap and simple fallback, and shows the used capture mode in the UI for better offline fidelity.

Summary: On 2026-05-15, rss-offline pivoted away from text-only article capture. The builder now saves full local HTML copies of blog pages, mirrors same-origin assets locally, supports re…


OurVend real-ui migration finished with ads blocked hidden

By 2026-05-22, vending-status-pages completed its current real-backend migration: visible routes like /, /products, /products/new, /ads, /machines, and /api/machines/2601070188/feed were revalidated as vendor-backed, fake local business truth was removed, and unsupported ad CRUD remained blocked/hidden until a confirmed OurVend endpoint exists.

Summary: By 2026-05-22, vending-status-pages completed its current real-backend migration: visible routes like /, /products, /products/new, /ads, /machines, and /api/machines/2601070188/fe…


Ballbox accessibility should follow html-first in Next

For Ballbox, Next.js is not the obstacle to html-first accessibility. The durable rule is to start each screen as valid semantic HTML with native links/forms/buttons/labels first, use JS only as enhancement, and avoid custom div-based widgets unless native semantics are insufficient.

Summary: For Ballbox, Next.js is not the obstacle to html-first accessibility. The durable rule is to start each screen as valid semantic HTML with native links/forms/buttons/labels first,…


Updated #2 (in_progress → completed)

Cheap triage of last 2 weeks session-end memories

Review recent session files from last 14 days, identify high-signal durable facts/decisions/preferences/artifacts that should have been saved at session end, and report count plus cheap estimate before any writes.

Cheap triage via first-user/last-assistant scan across all recent session files. High-signal candidates cluster into a few topics, not one memory per session.

Write cheap-pass durable memories from last 2 weeks sessions

Use recent session triage to save only the strongest missing durable memories into agents-database, deduping against existing memories first.


Done.
Wrote 4 durable memories:

- gastos-europa raw + published app
- rss-offline full local page capture
- OurVend real-ui migration complete
- Ballbox html-first accessibility rule

IDs:
- `mem_58309c3e69e444d7b15c377d18b6b960`
- `mem_8008ca82485848cd9f5492c09c236fa4`
- `mem_8c5c0ef5a6e3412289c6fbe2210108b1`
- `mem_caa17fc9013941b08d40188047b0958d`

So yes:
cheap pass was worth it.
Small number of strong writes.


[telegram] curious of how you use it. suppose i talk about something without the exact words it was saved as. how do you approach it?


Short version:
I don’t rely on exact wording.

I use it more like:
- semantic recall
- keyword recall
- context stitching
- then human judgment

Practical flow:

1. I infer the concept
- not just your words
- example:
  you say “that vending dashboard thing”
  I may search:
  - vending
  - OurVend
  - dashboard
  - status pages
  - machine status

2. I search broad first
- usually a few overlapping queries
- names
- purpose
- outcome
- nearby terms
- possible old names / aliases

3. I inspect candidates
- titles
- summaries
- source refs
- timestamps
- memory type
- whether it feels like same project,
  same decision, same episode

4. I use context around a hit
- if one memory smells right,
  I use its surrounding context
- related memories often reveal the
  exact thing even if first hit was fuzzy

5. I cross-check with files/runtime
- memory is not blind truth
- I often verify against repo/files/logs
- especially if action depends on it

What makes fuzzy recall work:
- searchable titles
- compact factual content
- source refs
- recurring domain terms
- durable aliases/rules
- having fewer, stronger memories

What breaks it:
- vague/noisy memory text
- missing project/repo ids
- too many near-duplicate memories
- very local nickname with no alias saved

Example:
if you say
“the thing where we stopped faking the
backend and hid unsupported stuff”

I might search:
- fake backend
- hidden unsupported
- vendor backed
- real ui
- OurVend

Even if the saved title is:
`OurVend real-ui migration finished with ads blocked hidden`

So:
I search by meaning first,
word match second,
verification third.

If you want, I can also show:
- a real example query chain I’d use
- or how I’d improve memory format
  for better fuzzy recall.


[telegram] and what about memories that should be attached but are semantically far? like perhaps a specific work behavior rule.
does surrounding context hit it?


Yes, sometimes.
But that is weaker.

There are 3 ways it can still hit:

1. direct profile/decision retrieval
- if the rule is strong and durable
- example:
  “follow-up instructions go to todo first”
  may surface from:
  - follow-up
  - task flow
  - active task
  - derailing

2. context bundle around a hit
- one matched memory can pull nearby
  profile/decision facts
- so I hit project memory A,
  and context also shows a work rule B

3. agent-side prior habit
- some rules are loaded from
  instructions/AGENTS, not memory
- so even if memory search misses,
  behavior can still be correct

But bluntly:
semantically far memories are the weak case.

Example weak case:
you ask about RSS PDFs,
and the relevant extra memory is
“Sebas hates repetition.”
That will not reliably surface from the
RSS query itself unless:
- context bundle includes it
- or I already know it from profile
- or system instructions carry it

So surrounding context helps, but
not guaranteed.

Best fix:
important work-behavior rules should live in
one of these places:
- AGENTS/instructions
- profile memories with very clear wording
- linked project decisions when specific

Best memory design for this:
- explicit titles
- explicit scope
- maybe repeated anchor terms
- project/repo ids
- not too abstract

Rule of thumb:
- project facts can be fuzzy-recalled
  from project talk
- behavior rules should be stored as
  behavior rules, not buried inside an
  episode summary

So:
yes, context can rescue semantically far
memories.
But I would not trust it alone for
important operating rules.


[telegram] that’s an ok compromise. and if a memory is deemed as needed/helpful on every conversation, shouldn’t the highest place for it to go is AGENTS?


Yes.

If it matters in basically every convo,
best home is `AGENTS`, not memory.

Why:
- always loaded
- no retrieval dependency
- no semantic miss risk
- behavior becomes default, not recalled

Good for `AGENTS`:
- stable communication style
- universal work rules
- irreversible-action policy
- default operating heuristics
- machine/environment facts
- always-on preferences

Good for memory instead:
- project facts
- chosen decisions
- reusable artifacts
- profile prefs that matter often but
  not literally every turn
- handoff/episode context

Best hierarchy:
1. `AGENTS`
   for near-universal rules
2. memory
   for durable but situational facts
3. live context
   for current-task specifics

Bluntly:
if a memory must be remembered every
time, it is probably misfiled.

Memory is better as
“retrieve when relevant,”
not
“bootstrap my core personality/rules.”

So yes —
highest-priority always-needed stuff
should graduate into `AGENTS`.


[telegram] cool, can we add to the automatic process a check on highest signal memories? if they match this criteria send me a telegram message offering that. if i deem correct, ill ask you to move it


Yes.

Good idea.
Clean pattern:

Flow
1. session-end analyzer scores new memories
2. if memory looks:
   - high-signal
   - durable
   - cross-conversation
   - behaviorally universal
3. send Telegram nudge:
   - “This may belong in AGENTS:
     `<title>`”
4. you reply yes/no
5. if yes, I convert it into an
   AGENTS patch proposal
6. only then apply it

Why this is good
- keeps AGENTS clean
- adds human approval
- avoids silent rule creep
- uses memory as staging area for
  possible promotion

Best heuristic for “AGENTS candidate”
- type is `profile` or `decision`
- scope is broad/global
- wording implies default behavior
- likely useful in most sessions
- not project-specific
- not ephemeral
- not secret
- not redundant with current AGENTS

Telegram format should be tiny
Example:
- `Possible AGENTS promotion:`
- `User wants minimal repetition`
- `Reason: global behavior rule`
- `Reply: promote if yes`

Important guardrail
Do not auto-edit AGENTS.
Only suggest.

I can implement this.
Best place:
- session-end memory analyzer /
  maintenance automation
- plus a small dedup check against
  existing AGENTS content so it
  doesn’t spam obvious duplicates

If you want, I’ll wire it now.


[telegram] session end process can sometimes not be hit for a while (like now that i used only telegram for the last two weeks)
is there not another periodic process set up?


**Inspecting service status**

I need to provide an answer based on the known information available. I’m thinking I should check the current service status for clarity. It’s important that my response is concise and easy to understand, so I’ll look at the details closely. There’s a lot to consider, but staying focused on the essential information will help ensure the user gets the answer they need quickly.

systemctl --user list-timers --all | rg -i 'memory|agent|maint|session|analy' || true

systemctl --user list-units --all | rg -i 'memory|agent|maint|session|analy' || true

python3 - <<'PY'
import requests
for path in ['/api/status']:
 r=requests.get('http://100.116.176.16:8091'+path, timeout=10)
 print(r.text)
PY


(no output)


  agents-database-http.service                                                                                loaded    active     running         Agents Database HTTP API
  agents-database-maintenance.service                                                                                loaded    active     running         Agents Database Maintenance Daemon
  gcr-ssh-agent.service                                                                                loaded    inactive   dead            GCR ssh-agent wrapper
  gpg-agent.service                                                                                loaded    inactive   dead            GnuPG cryptographic agent and passphrase cache
  install-session-memory-dispatcher.service                                                                                loaded    active     running         Pi session memory dispatcher
  pi-telegram.service                                                                                loaded    active     running         Persistent tmux-backed pi Telegram session
● pipewire-media-session.service                                                                                not-found inactive   dead            pipewire-media-session.service
● pipewire-session-manager.service                                                                                not-found inactive   dead            pipewire-session-manager.service
  ssh-agent.service                                                                                loaded    inactive   dead            OpenSSH Agent
  wireplumber.service                                                                                loaded    active     running         Multimedia Service Session Manager
  session.slice                                                                                loaded    active     active          User Core Session Slice
  gcr-ssh-agent.socket                                                                                loaded    active     listening       GCR ssh-agent wrapper
  gpg-agent-browser.socket                                                                                loaded    active     listening       GnuPG cryptographic agent and passphrase cache (access for web browsers)
  gpg-agent-extra.socket                                                                                loaded    active     listening       GnuPG cryptographic agent and passphrase cache (restricted)
  gpg-agent-ssh.socket                                                                                loaded    active     listening       GnuPG cryptographic agent (ssh-agent emulation)
  gpg-agent.socket                                                                                loaded    active     listening       GnuPG cryptographic agent and passphrase cache
  ssh-agent.socket                                                                                loaded    active     listening       OpenSSH Agent socket
  graphical-session-pre.target                                                                                loaded    inactive   dead            Session services which should run early before the graphical session is brought up
  graphical-session.target                                                                                loaded    inactive   dead            Current graphical user session


Fix GitHub credential automation so repo pushes and PR creation use the intended account reliably

The current credential helper flow can select the wrong GitHub identity during multi-repo push and PR automation. Investigate the root cause across gh auth git credential helper and repo remote handling, then design a safer simpler script or convention.

push uses intended GitHub account without token workarounds

PR creation works consistently across public and private repos

documented operator flow is simpler than the current state

User confirmed this credential automation task is post-V1 and not a blocker for V1 closeout.

PR creation required direct credential workarounds; automation should simplify this later

Local readiness is partial: repo docs and runtime surface exist, current status API works, but full verification is not yet proven in this sandbox.

error: unexpected argument '--ask-for-approval' found

  tip: to pass '--ask-for-approval' as a value, use '-- --ask-for-approval'

Usage: codex exec --sandbox <SANDBOX_MODE> [PROMPT]

For more information, try '--help'.

Handoff personal-agent -> ai-dev-workflow

ai-dev-workflow accepted the handoff and persisted intake context.

Handoff personal-agent -> implementation-agent

Finish remaining V1 migration and GitHub cross-reference work

Finished legacy bridge and V1 multi-repo cross-reference work; shared DB now contains the resume anchors and completion artifacts.

Execution state snapshot

CLI Smoke Readiness Summary

## Findings
- Confirmed locally on 2026-03-15: `python3 scripts/personal.py --json status` works and returns live task/run state. Current snapshot shows `active_task_count=19`, `blocked_task_count=2`, `pending_approval_count=0`.
- Confirmed locally on 2026-03-15: `codex exec --help` matches the newer CLI shape and supports `-C/--cd`, `--add-dir`, `--output-last-message`; it does not advertise the older `--ask-for-approval` flow.
- Confirmed from repo state: local edits in `personal_agent/planner.py`, `personal_agent/runtime.py`, and `tests/test_personal.py` replace the obsolete `--ask-for-approval` and `--search` flags with `-C`, and add test coverage for that command shape.
- Confirmed from runtime evidence: recent stored runs failed with exact error `unexpected argument '--ask-for-approval' found`, so the earlier smoke failures were real and explainable.
- Confirmed from docs/scripts: the only declared repo gate is `./scripts/run-checks.sh`, which runs `python3 -m unittest discover -s tests`.
- Not confirmed: full repo test pass. In this read-only sandbox, the test suite fails before exercising app behavior because Python cannot create temp dirs: `FileNotFoundError: No usable temporary directory found`.
- Not confirmed: shared-memory operational readiness under this sandbox. Targeted memory search failed with `sqlite3.OperationalError: attempt to write a readonly database`, so shared DB interaction is not proven here.
- Not confirmed: production readiness. Docs still describe dashboard, daemon, worker, approvals, and multi-repo handoff topology, but this run did not validate dashboard serving, worker completion, or end-to-end shared-memory writes.

## Risks
- Main near-term risk is false confidence from static docs plus partial command success while writable-path and temp-dir assumptions remain unverified.
- Working tree is dirty, so the codex CLI fix appears in progress but not yet fully validated by a successful full gate.

## Recommended Next Action
- Queue one internal follow-up task: rerun the full local smoke gate in a writable environment after the current codex CLI flag fix lands, with focus on two proofs only: tests pass and shared-memory-backed worker flow completes without the old CLI error.

Execution Plan

# Plan for Fresh CLI smoke task: summarize current system readiness and suggest one safe internal coordinati...

- Route: personal
- Secondary route: code
- Planning source: codex
- Codex instruction: Use Python as the shell entrypoint; inspect current local readiness signals, summarize gaps conservatively, and record one internal-only coordination next step in shared DB/audit state.

## Subtasks
- Collect readiness signals
- Write smoke summary
- Propose one coordination step

Normalized Intent

Request: Fresh CLI smoke task: summarize current system readiness and suggest one safe internal coordination step only. No external actions.
Primary route: personal
Secondary route: code
Reason: Planning/synthesis task with light repo-readiness context; no external action.
Planning source: codex
Codex instruction: Use Python as the shell entrypoint; inspect current local readiness signals, summarize gaps conservatively, and record one internal-only coordination next step in shared DB/audit state.
Relevant memory:
- Sebas idea: custom AI solutions as alternative income [mem_sebas_custom_ai_solutions_income_idea]
- Research run: Produce a production-readiness plan for ballbox-payment-integration [legacy_run_1f1a3fd4-eb28-4e99-891f-07c97243a06f]
- Sebas desired relationship with money [mem_sebas_money_relationship]

Execution Plan

# Plan for Smoke task: summarize current system readiness and suggest one safe internal coordination step on...

- Route: personal
- Planning source: fallback

## Subtasks
- Clarify objective and constraints
- Gather context and evidence
- Produce final recommendation

Normalized Intent

Request: Smoke task: summarize current system readiness and suggest one safe internal coordination step only. No external actions.
Primary route: personal
Secondary route: none
Reason: default personal route
Planning source: fallback
Relevant memory:
- Sebas idea: custom AI solutions as alternative income [mem_sebas_custom_ai_solutions_income_idea]
- Research run: Produce a production-readiness plan for ballbox-payment-integration [legacy_run_1f1a3fd4-eb28-4e99-891f-07c97243a06f]
- Sebas desired relationship with money [mem_sebas_money_relationship]

Handoff result from ai-dev-workflow

Execution Plan

# Plan for Smoke task: assess current V1 readiness and propose one safe internal next step, no repo work and...

- Route: code
- Planning source: fallback
- Delegation target: ai-dev-workflow

## Subtasks
- Inspect technical context
- Delegate code execution
- Summarize technical outcome

Normalized Intent

Request: Smoke task: assess current V1 readiness and propose one safe internal next step, no repo work and no external actions.
Primary route: code
Secondary route: none
Reason: code work (repo)
Planning source: fallback
Relevant memory:
- Research run: Produce a production-readiness plan for ballbox-payment-integration [legacy_run_1f1a3fd4-eb28-4e99-891f-07c97243a06f]
- Research run: Analyze the best next steps to make ballbox-payment-integration production-ready [legacy_run_a7fe5fbd-4892-4398-ab1a-71337f923ed7]
- Research run: Production-readiness plan for ballbox-payment-integration [legacy_run_35bd54a1-0135-414e-9c6b-245fca772f54]

Handoff result from ai-dev-workflow

Execution Plan

# Plan for Smoke test after codex CLI fix: summarize current runtime health and suggest one safe internal ne...

- Route: code
- Planning source: fallback
- Delegation target: ai-dev-workflow

## Subtasks
- Inspect technical context
- Delegate code execution
- Summarize technical outcome

Normalized Intent

Request: Smoke test after codex CLI fix: summarize current runtime health and suggest one safe internal next step only.
Primary route: code
Secondary route: none
Reason: code work (fix)
Planning source: fallback
Relevant memory:
- Refactor runtime toward Codex-agentic orchestration [mem_runtime_agentic_refactor_priority]
- Research run: Analyze the best next steps to make ballbox-payment-integration production-ready [legacy_run_a7fe5fbd-4892-4398-ab1a-71337f923ed7]
- Sebas idea: custom AI solutions as alternative income [mem_sebas_custom_ai_solutions_income_idea]

Execution Plan

# Plan for Smoke test: summarize current V1 readiness and recommend the next safe internal step without exte...

- Route: personal
- Planning source: fallback

## Subtasks
- Clarify objective and constraints
- Gather context and evidence
- Produce final recommendation

Normalized Intent

Request: Smoke test: summarize current V1 readiness and recommend the next safe internal step without external side effects.
Primary route: personal
Secondary route: none
Reason: default personal route
Planning source: fallback
Relevant memory:
- Research run: Produce a production-readiness plan for ballbox-payment-integration [legacy_run_1f1a3fd4-eb28-4e99-891f-07c97243a06f]
- Refactor runtime toward Codex-agentic orchestration [mem_runtime_agentic_refactor_priority]
- Research run: Analyze the best next steps to make ballbox-payment-integration production-ready [legacy_run_a7fe5fbd-4892-4398-ab1a-71337f923ed7]

V1 final closeout

# V1 Closeout

## Outcome
V1 is complete.

`personal-agent` now operates as the shared-memory front door with:
- shared operational state in `agents-database`
- intake planning and runtime orchestration backed by Codex outputs
- daemon/dashboard surfaces for status, blockers, approvals, and next actions
- approval resolution with automatic resume
- stable subagent handoff contract for `ai-dev-workflow` and `ballbox-company-agent`
- legacy bridge for old personal-agent research/task inspection
- documented sandbox write convention for canonical shared DB access

## Verification
- local repo gate: `./scripts/run-checks.sh` passed with 26 tests
- direct suite: `python3 -m pytest tests/test_personal.py` passed with 26 tests
- PR CI: run `23112079488` passed on 2026-03-15 (`unit-tests`)

## Runtime use cases covered by tests
- intake creates operational task, subtasks, and specialist handoff
- Codex planning path and fallback path
- worker terminal outcomes: `complete`, `needs_approval`, `blocked`
- approval resolution paths: `approved` resumes and completes; `rejected` stays blocked
- structured runtime actions: follow-up task, handoff, artifact
- dashboard snapshot enrichment: summary, next action, latest run, pending approval, route summary
- end-to-end flow: intake -> approval -> resume -> complete
- Codex command wiring includes `--add-dir /Users/sebas/agents-database`
- handoff dispatch completion persists result artifact
- preference blocker can resolve from memory without human input
- daemon API surface covers status, intake, blocker response, and approval resolution
- CLI accepts `--json` before or after subcommands

## Scope boundary
- task `task_33d854e72d094660a2fb293a8723f5c5` is explicitly post-V1 follow-up, not a V1 blocker
- remaining work after V1 should continue as follow-up capabilities and operator hardening, not as part of this milestone

Phase 2 closeout brief

Phase 2 closeout:
- structured runtime actions implemented
- approval loop resolves and resumes
- execution_state snapshots persisted
- dashboard/status surfaces expose next actions and latest run state
- end-to-end runtime tests cover intake -> approval -> resume -> complete

Credential automation follow-up note

Low-priority follow-up. During multi-repo PR prep, git push and gh PR creation hit mixed-account behavior. Temporary workaround used direct credential injection. Future work should simplify and harden this flow instead of relying on manual recovery steps.


**Evaluating service processes**

I’m considering whether there’s a periodic maintenance process, like a daemon or session dispatcher. However, it doesn’t seem to be yielding any results. It’s odd because I don’t see any visible timer, but the services appear to be active. I wonder if there’s something else I need to check or if it’s a misunderstanding of how these components are supposed to function. Let’s see if I can find more clarity on this!

Yes.
There is other automation.

What I see active:
- `install-session-memory-dispatcher.service`
- `agents-database-maintenance.service`

So it’s not only “on session end”.

But:
- I do **not** see a user timer listed for it
- and in practice, last 14 days showed
  no analyzer-written memories

So likely one of these is true:
1. dispatcher is event-driven, not periodic
2. periodic path exists inside daemon logic,
   not as a systemd timer
3. it’s running, but not picking up Telegram
   sessions
4. it’s running, but filtering/writing nothing

Blunt read:
there is automation alive,
but not a reliable periodic
“sweep recent sessions and write
memories” flow for your Telegram-only
usage pattern.

That gap is real.

Best fix:
add a true periodic sweeper:
- every X hours
- scan recent session files
- detect unanalyzed sessions
- run cheap memory extraction
- optionally send AGENTS-promotion
  suggestions by Telegram

That would cover:
- long Telegram-only stretches
- missed session-end hooks
- delayed memory promotion

If you want, I can inspect the two active
services and tell you exactly:
- what each one does
- whether they already scan periodically
- where the break is.


[telegram] then how were memories upgraded lately? or they werent?


Mostly they weren’t.

Last 2 weeks:
- only 3 memories got created
- all 3 were manual writes by
  `personal-agent`
- 0 were from the session analyzer
- 0 obvious auto-upgrades/promotions

So recent “upgrades” happened only because:
- I manually checked memory
- then manually wrote/promoted a few

Not because the automatic pipeline was
quietly doing it well.

Broader last month:
- some auto writes did happen earlier
- mainly from `pi-session-memory-analyzer`
- but not in this Telegram-heavy stretch

So blunt answer:
- lately, automatic upgrading mostly did
  **not** happen
- recent improvement came from manual
  intervention, not healthy automation

That’s why your periodic-sweeper idea is
useful.


[telegram] dont care how but simplify and automate this process. seems like it has many ways to work and some deprecated even

add later the AGENT promotion suggestion we discussed


**Evaluating repo actions**

I need to act on the pi-config/agents-database repository. First, I'll inspect the documents and services associated with it. I think I should create a to-do for follow-up instructions since there are active tasks to tackle. Modifying the config and scripts is likely necessary, so I’ll take a closer look at the relevant services. I’ll also consider memory aspects, but I'll focus primarily on what's essential for the task at hand.

todo

Simplify and automate memory ingestion pipeline

Audit current memory/session-end automation paths, remove or bypass deprecated/duplicated flows, implement one reliable automated path that covers Telegram-heavy usage, and leave AGENTS-promotion suggestion as a later follow-up.


Created #3: Simplify and automate memory ingestion pipeline (pending)


Updated #3 (pending → in_progress)


bash

cd /home/sebas && find .config/systemd/user -maxdepth 1 -type f | sort && echo '---' && rg -n "session-memory|memory|dispatcher|maintenance|analy" /home/sebas/.config/systemd/user /home/sebas/pi-config /home/sebas/agents-database -S --glob '!**/node_modules/**' --glob '!**/.git/**' | head -300

systemctl --user cat install-session-memory-dispatcher.service agents-database-maintenance.service 2>/dev/null

ls -R /home/sebas/pi-config/bin /home/sebas/pi-config/scripts 2>/dev/null | rg 'memory|session|dispatcher|analy|maint'