{ "job_id": "20260606T213402273612Z", "queued_at": "2026-06-06T21:34:02Z", "status": "completed", "job_type": "session_memory_analysis", "payload": { "session_id": "019e9ea0-a985-7c07-aa56-d868724ade42", "session_file": "/home/sebas/pi-config/sessions/--home-sebas--/2026-06-06T20-29-49-829Z_019e9ea0-a985-7c07-aa56-d868724ade42.jsonl", "cwd": "/home/sebas", "scope": "global", "reason": "periodic_sweep", "trigger": "periodic_sweeper", "branch": [ { "type": "message", "id": "faa6b0c9", "parentId": "0c058f0b", "timestamp": "2026-06-06T20:30:07.563Z", "message": { "role": "user", "content": [ { "type": "text", "text": "[telegram] me decis la actividad de las ultimas 4 semanas basadas en el wifi tracker?" } ], "timestamp": 1780777807555 } }, { "type": "message", "id": "942a3380", "parentId": "faa6b0c9", "timestamp": "2026-06-06T20:30:11.634Z", "message": { "role": "assistant", "content": [ { "type": "thinking", "thinking": "**Looking for data sources**\n\nIt seems like I'm needing to inspect memory for some data, possibly related to a wifi tracker on the machine. Clarifying whether the user might have asked in Spanish could help. I should also find relevant files that could assist in my search. Maybe using a to-do list could organize this process better. 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Clarifying whether the user might have asked in Spanish could help. I should also find relevant files that could assist in my search. Maybe using a to-do list could organize this process better. 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It seems like I'd have to parse logs that might include device snapshots and some alias information. I'll want to inspect the summary to see if it should include session details. Maybe I could also check for API summaries. Let's take a closer look at what the summaries contain!", "thinkingSignature": "{\"id\":\"rs_0a9e4511c6d55ec0016a248358d0cc8191ad7ff617427d2f2a\",\"type\":\"reasoning\",\"content\":[],\"encrypted_content\":\"gAAAAABqJINeZX01glcAF-0G0TGS-bxoV6Xz7LI4tjtFFTby6LhJNIJt4gLQXHz1Msxzp8mytZI_50W-9B5zpctPSOXsWTeUAk3otcOegSAlrIzTsl9ktWkThwRv70pFkMxV_os9r0Hm0urytni0N_0u_2Lf7fpfhRzHecwlCGcQ6m-wByHDyYx9phhOyznOHiDQLr-fjwdAkYxYZWimYrJQJi2UQp3uM61-joAYIW4kffTsUpzNiNhbIjrR0iZTATpQPHH4Gkp6aHV9EXIdxO4s6I2QVPUHiNo2O-XsiuyRpYzsMGc7PFmjdW4bwjuBrvojmoZvneZ36VwAOwPSPe4RML-YIN4Dfj1-uV1l0vA6ewFkC9Bulugnk6QT5ABb9OVDGtnOzI2aMb7lURQZ6OaElzDrjhs1iMtipRMDGBdw4v46SIz0dGXLcZNu07_CmfHppDwRbGGsmbWchsm7OrHSHltXJ4ZdOwnKZsDNnphEDgaTV7qrz37XuVOV1tX9JWB9o9_4WtREWAMns5cfhNhkZSi7uulzItFedpdWrigbCEOORpRQ1hphSQtXQD9vP61O23kbzJ7CelHtwESVXp2VnWkn8JBrMnoF2_CQ9wofQcmUdAs1lTMUSpZAMMP439d2UNmETIlPQf-rzyl90rj688qB03X31vY5Qd6YDcc2QFv2Gio4VJ8zqz8-7iVLngZcqRu9-uZ2kqTdv_cKNWW0Rm1M0sdqNava1lKsR65YjWkzUmliJxeru2TMHjCSc9fRqCbvdcasNUiKFsi58PI9Z_i1a9Hf0F0hjgSKsnMXlY1s3bLnWu3hDxZJuRJrNyCl1eLg1I9QE38BTWPSsmrHJBM60tnAUcpHshvgDn5f9wYZlV8NowoLDr0VW5i6HKxsLeSLaNMVnr2iwNB3M9mUF8n7CWMg56OgcnA5CQ9GrN3PSlJg_CUnuD695YmF7ykZCQFtSaCB0ck7MFPXcTi5oJ0LLqSEC486gKR2m5LaytGCBRUNGQys9lIcdsWJbBIP3GGWwdn3wV9XEoGdYOcZLLp8OT4cFC65MhGxjDJyrVTTKQXlQplGFsxIzoa7BEpEi4t855xHZc7tL9fcNHzC_SpFSXqcBK_SblSrosMVkmYdByOAIWHYMH9-HBN9-ZiwmLHZJed3g9CoHEBno3_C9m2vZW6btg==\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Analyzing activity logs**\\n\\nI need to summarize the activity from the last four weeks. It seems like I'd have to parse logs that might include device snapshots and some alias information. I'll want to inspect the summary to see if it should include session details. Maybe I could also check for API summaries. Let's take a closer look at what the summaries contain!\"}]}" }, { "type": "toolCall", "id": "call_exDmrayjY7G0tYkZGVtCzEFM|fc_0a9e4511c6d55ec0016a24835ec97481918b1b14168d12be4d", "name": "bash", "arguments": { "command": "python - <<'PY'\nimport json\np='/var/www/wifi-tracker/summary.json'\nprint(open(p).read()[:4000])\nPY" } }, { "type": "toolCall", "id": "call_VBgk02PgtiEgUztRWfLenQ43|fc_0a9e4511c6d55ec0016a24835ec9848191bab3eb3a26361078", "name": "read", "arguments": { "path": "/home/sebas/runtime/agent-logs/wifi-presence/aliases.json" } }, { "type": "toolCall", "id": "call_6Z0HnwLXmwklKlw8usLghBnU|fc_0a9e4511c6d55ec0016a24835ec99c8191a80416d6cefc4a49", "name": "read", "arguments": { "path": "/home/sebas/runtime/agent-logs/wifi-presence/inventory.json", "offset": 1, "limit": 200 } } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 1310, "output": 173, "cacheRead": 5632, "cacheWrite": 0, "totalTokens": 7115, "cost": { "input": 0.003275, "output": 0.002595, "cacheRead": 0.001408, "cacheWrite": 0, "total": 0.007278 } }, "stopReason": "toolUse", "timestamp": 1780777816192, "responseId": "resp_0a9e4511c6d55ec0016a24835845748191bacb66900308c3ba" } }, { "type": "message", "id": "cd63a622", "parentId": "417acb95", "timestamp": "2026-06-06T20:30:27.791Z", "message": { "role": "assistant", "content": [ { "type": "thinking", "thinking": "**Inspecting device activity**\n\nI want to check activity from the last four weeks, starting from May 9. The user seems interested in overall activity, possibly focusing on devices. I think I need to compute notable periods, so I'll look into the raw logs to build a summary of device active hours and days. It's important to keep it concise, so I might use Python to parse the device snapshots over that range and inspect the event schema for details.", "thinkingSignature": "{\"id\":\"rs_0a9e4511c6d55ec0016a24835f90bc81919cf06e72d8845f13\",\"type\":\"reasoning\",\"content\":[],\"encrypted_content\":\"gAAAAABqJINjM5PkUojaWHMa0GvZQzUIFvo6oofWZoXYuL7XW3y8In3g27PFmYePSZMMxEdR2m3UdFfDauuRRFs7dqeH6NVkti42yePqj3XWMPn77CfPKXAILGKd1WCyPze11iqPKdca8m-Gfxju1p7jilIn0IbxCjFhMprA_IYvzYfbl9iWSynMXHsYGRo8BJ6IjaLDqydhRAAi6a4jzPSV68tm6C6mqLg5wbRZ4whxDkTXXT6nmS453PTMvU7X0Vt60S5s5n1VLCIA7UDuFsWlM8r77Tsq795Ht48Xj1D8IvPZRljzp9XdQrm9JCY2njEVOKBUapCvu7A_aP-hsV6iebCKU5NTHbioWIuAHf2DHaS4TLJj8jzzUZWH_lvhmqbth_if_NzV_qJg8SI8BGYZpUa5fWiJPiewFS5WK_wGcGvLk75cQYbWlWxR6Af1b8bI-bdHuZo8_O8KFbRgGZF4PnIG_OP4Y1Mc6U-dKIQ4OkuZeGIDsSzRQp50AXoRCqjcd-L-FdA_u9IGOPVrjwY4fHaURpzUaFSE5gBPgCGuLLiTpqWIMkREaVJWYqGXsX7Pdz60bRVrG5uC8IbjEfZVop-sU93KgmLOKOPa6ldkQFasXjG9VTT0HBPRfEWe_EFnarIIDT7tz4Vvg_VcsgQx-lvqo7YEAgKpX1w6co4GYt8Ie_yIBqcI46dPgcFPh7IHZ0dF_G1T2H0wc9p7CoaRqSjBHNPvmBY-vcvDtXpU4wF674qq9cnz3ZvRCoFbgRx4PL8LHZHMQDON3H4Z2nvq1XlVyf-cwDQXpwBnAyjGWqF0zKy3__6PYL5jSeV3M9x4lOdfAQM-Du4N_ysyPCMZrenVmTumAmQiaxOW20vwYCVOVSq35Gu5Si95eYfslF3if3XoiwJeibsfgT2Uh9Y9e-8130GdyU-P0bcL5IldIRRaNNV7H527l3PJj3bflKdPhGm6muEutjragrfWh6xQ1dPn8Luz-zgTOhKPeM2Yg4yf5N5vaF02Rx0dWqiYNg3XKQYvgW_71zzmSgi4sYHQfRypfUgDrLTqqWXdWlyJN-_RHx-wuVNZAkPGV_cOXzpur-rGHCn8TR730b3FGzeWMXnn4a3g29-dX6EGohanc0HkB2wKPUpJZXtxWrRCZWCwoa9iBv9Nk8VRKaWmGJFqm4xcuwGrCpEe87RSkFeWZCVi4EoTf7Xmfe4b13gToyrnqLJZGGFCMeb_yGT65lT_CEVwXcm2b8r7XBuAEDnABnJYW_P4K6GqlG0ZZDO5RlK_pgOsZCh5dJOv6Fnz5OGQ4eoMNfnrG6gwJ5iwF_eiw27DGfs4H4BxEcl1w74RDuMjgupGlStFPuT3HLdythlu30--Gi-JKid_leSBEf07G08rySgFNWq_geA7ViDiUWiNas-8l_SPc1aw86wpPbOcwU2S4KynJA==\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Inspecting device activity**\\n\\nI want to check activity from the last four weeks, starting from May 9. The user seems interested in overall activity, possibly focusing on devices. I think I need to compute notable periods, so I'll look into the raw logs to build a summary of device active hours and days. It's important to keep it concise, so I might use Python to parse the device snapshots over that range and inspect the event schema for details.\"}]}" }, { "type": "toolCall", "id": "call_jt0JQVr8HMuQI4VThwHW8whH|fc_0a9e4511c6d55ec0016a24836304ec8191899492192c8f2419", "name": "bash", "arguments": { "command": "python - <<'PY'\nimport json,glob,itertools,os\nfiles=sorted(glob.glob('/home/sebas/runtime/agent-logs/wifi-presence/activity*.jsonl'))\nfor f in files:\n print('FILE',os.path.basename(f))\n with open(f) as fh:\n for line in fh:\n obj=json.loads(line)\n if obj.get('event')=='device_snapshot':\n print(json.dumps(obj)[:500])\n raise SystemExit\nPY" } } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 6212, "output": 214, "cacheRead": 5120, "cacheWrite": 0, "totalTokens": 11546, "cost": { "input": 0.015530000000000002, "output": 0.00321, "cacheRead": 0.0012799999999999999, "cacheWrite": 0, "total": 0.020020000000000003 } }, "stopReason": "toolUse", "timestamp": 1780777822924, "responseId": "resp_0a9e4511c6d55ec0016a24835eff108191a9a426cde333b57c" } }, { "type": "message", "id": "f9cf27b6", "parentId": "0d931fd9", "timestamp": "2026-06-06T20:30:38.361Z", "message": { "role": "assistant", "content": [ { "type": "thinking", "thinking": "**Analyzing device usage**\n\nI need to focus on interesting devices, perhaps personal phones and laptops. I’m considering counting overall usage, computing the hours and days for each device observed over the last four weeks while excluding infrastructure devices. I might want to list the top devices based on observed hours, along with any transient devices. This could give me useful insights into usage patterns! Let's see what I can uncover.", "thinkingSignature": "{\"id\":\"rs_0a9e4511c6d55ec0016a24836495a08191bd91a580bcee6994\",\"type\":\"reasoning\",\"content\":[],\"encrypted_content\":\"gAAAAABqJINnjIHMnLGpUGa7powvp0H9SbSvdc2igRdhz1V2_3mZMlN94_hHkGMi3sOC7yD-put9oEUd-dts4sn3wAI29rnkm68pKsewcKJdw5PS6Ggd7b8gjgN9VZ6ixlf0VmaJh_GP_aFOv5If2-7H9zSGiB5_kVSlU28QbQpoQRReqWqxr9tHHDk6xwpEn5oZdINhrOF22WjX-ENJB4zVYHihlUyG9hXq1EtyOUu9rNc9HL4ak4nwTmdTUuOBEPf6oBhQBxexSWHtf_U3BKp_7eljVQxdCZo3_fFyuqx9skxrUsG8AQKKhayRdeEzBod33bPb3c9hvRjNPTriTmWALLNGynlpkYM-i4edlSnHcRnMI34b1iWJgz_8aCALQR5jWsNJnZSnJtPKeAnNs33ofxCIh56knOr5tk_x78uUrb5LLqawmfheEWusyThI8NL5-fRPbGACtJIHlLGXqf2dkcbpMvdrV0CwveXSAUeoOu_cZf5pDAsNXVkSnf2hWq7NLHWhRAU6cBVjHt-ESrS8DsuFjShlH1EiyacFva0WMR7AO0g8yT7uvGmISDEJI8gd91QgT4dS5scfv8RnHlICyYZ4Z_ydRt1XaDv0PE0YJXGp9OTUAKBselndWkr-jp2OmWqSFFliDkql6SfN5qzbiJs1yYgtlJnwmmvv-9pp6jWstWfTgo89vqw8aGAlDM9OZpdOUQ_Yqtihzs0eUc8ls9GX8EUtqMT_RxQW9ClCd4Q9gh-G0Oe2UslZnlxXn5eplBFlDObHlSqQuUauDhimqgtrm1FT8khwWJQ2CZJ3KcrtqD7B5zyOWqGlj-vFDIO3WBN1mXaFf4eS7kW7f5iEG9ZFTPRJyW2dkgtPMpd0a72OqsBzOkr9keTkPsQcUTK--1TBmzbMvjAYV3ftIVukyXuhOchBCm6yv2ZeNCZJK6T_pj2WwZKJ4jPI8cQD2IB4RvwTCkId2mVZZ9dF7YIiRwV7gQhe7AJXHvsdwrz2SIyYPX2m4nfZbDLHYNRxp8oNxhtZI4YCyPFDizLvTD-AHDsUXq2xBszTO6frgzWyzIEVdL0Izlx231K95ozmKbJlavoF7r7MzrCCZICUQlottaJroMWUBn-AuFnYpWOE8xVnkQeggpCl6gwuOYnll9gkycYP7VLAgHUTZtHzDV80hKVltjh8lZftNXct7skcdhyb4FpSsMnLiDM0Xu0EvC9aTwnIhV3aCmlC7E4dUeQV6p0VMx_GmoL9-F62U8I3k1fuolGGDa0=\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Analyzing device usage**\\n\\nI need to focus on interesting devices, perhaps personal phones and laptops. I’m considering counting overall usage, computing the hours and days for each device observed over the last four weeks while excluding infrastructure devices. I might want to list the top devices based on observed hours, along with any transient devices. This could give me useful insights into usage patterns! Let's see what I can uncover.\"}]}" }, { "type": "toolCall", "id": "call_1VCbXK4mXNN7frrMypwrkFSX|fc_0a9e4511c6d55ec0016a2483672c2c8191a778669198aa376e", "name": "bash", "arguments": { "command": "python - <<'PY'\nimport json,glob,datetime,collections,os\nstart=datetime.datetime(2026,5,9,tzinfo=datetime.timezone.utc)\nend=datetime.datetime(2026,6,7,tzinfo=datetime.timezone.utc)\nfiles=sorted(glob.glob('/home/sebas/runtime/agent-logs/wifi-presence/activity*.jsonl'))\nobs=collections.defaultdict(list)\naliases={}\nfor f in files:\n with open(f) as fh:\n for line in fh:\n try:o=json.loads(line)\n except: continue\n if o.get('event')!='device_snapshot':\n continue\n ts=datetime.datetime.fromisoformat(o['ts'].replace('Z','+00:00'))\n if not (start<=ts {el:%H:%M} ({dur:.1f}h)')\nPY" } } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 3186, "output": 712, "cacheRead": 10752, "cacheWrite": 0, "totalTokens": 14650, "cost": { "input": 0.007965, "output": 0.01068, "cacheRead": 0.002688, "cacheWrite": 0, "total": 0.021333 } }, "stopReason": "toolUse", "timestamp": 1780777851956, "responseId": "resp_0a9e4511c6d55ec0016a24837c063881919cbe960984ad7922" } }, { "type": "message", "id": "af1013a1", "parentId": "114b362e", "timestamp": "2026-06-06T20:31:09.406Z", "message": { "role": "assistant", "content": [ { "type": "thinking", "thinking": "**Finalizing CSV note**\n\nI need to mention that I can’t provide a full 4-week history due to retention policies. I could say something like, \"If you'd like, I can create a CSV for you.\" Plus, I'll make sure to update my to-do list to mark this task as complete. This way, everything is tidy and accounted for!", "thinkingSignature": "{\"id\":\"rs_0a9e4511c6d55ec0016a24838b42788191b248b7c7933b75cd\",\"type\":\"reasoning\",\"content\":[],\"encrypted_content\":\"gAAAAABqJIONIVZOAhPe9FDxl89PbIP85voLX30i37avDN71kbEiy9iC4jmQ2aet00bF_-XJrrPSHzvF2NLIsADeLca-c_eZuPJPRSYMf1FuYvRH2os6iWcQ9kisZTgrCYxdkFokvYZXfIGZVnnMtcBLPIoH5OpfT4wVDgVfH31Dra64r1YTCClt2U9e8BUW0MjDelmPBEuG4uznoi0eUhv3RIQ-IerZUnvKha4WLnI-IidnQcIZu5F-oGyj-aW_aUSb8iB1OXbdsleaAKI35nkjlzagY9ZJILbpWNzi1wrVL2-4ozjmJS4c9fZN3yKvbXrrYUNWqHovLQteThyGBabOf9nkaKzoR4KN77Lezvdgve7KvtTwiJhuKzDM_mkSNAGuiim46C34CKJ4zKclCT7249s9bah-EUPPoPu9okvbrLf6lmW5QZQrfaKJ7sebBYFyfG4H3BjJQTjRQtgNPi3r8U4KdWvC1DjyTJMI8pHUfnH5IjhBWBLczfrLCk2gAWtolf_FPji9N0uROozygpJUAuZAIafRxstTQJFVsheOcgbdEUthZkd6Vtm6ASm0ZmDHUue6f_MhDBJTmxGkRXubmAelIKX5s9lJYD22lmkkXMpuLQYFcLtJCN1MD_-lFsJgFjDE71U49DX5JergqxSLRRKy7-YYB69IKlEE1QW5nNuJJyKfdCLp1gtAAxKdtN9graZzGWNG6Lg-ecFsRKfH6dOjwZX0yJ8PStSZQFpDsv-jHod0N_7XV-xuucw6aXE4-vELWuuv1xMsuULRh7z066FOCbr6qDQ8gNL5kMRtRzinr4_1CT6aHgjuV4l8Ys1aJgt7ImkPbypo6TrihD5mPzBHFa6EBEJKo3FBIbAb6mZlauD4ER_MZ9NOa0mHMg_ok4hyG8Xo3Frm3qY-aPc5gxUlrAdtF_7yZsMg5APiKHqE4ZvECQU-WbdG7Nrb6omjvAnMtqUeqlUQeaerMGkjL2Bdl8WPtj_PScInkirQ7hZjwe0mqLsD4JnMCL0vX9aDU4WAYZfdguKQY0GZ_486DxB93alDhPrDtIlKLEPjPJZIEHgc7-HnkpVs9rZHmlsHe7VKicPm\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Finalizing CSV note**\\n\\nI need to mention that I can’t provide a full 4-week history due to retention policies. I could say something like, \\\"If you'd like, I can create a CSV for you.\\\" Plus, I'll make sure to update my to-do list to mark this task as complete. This way, everything is tidy and accounted for!\"}]}" }, { "type": "toolCall", "id": "call_DXwag3cl4FdrglJUJAsdtFXT|fc_0a9e4511c6d55ec0016a24838d432c81918ebfd872e3f8eb7e", "name": "todo", "arguments": { "action": "update", "id": 1, "status": "completed" } } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 1139, "output": 58, "cacheRead": 13824, "cacheWrite": 0, "totalTokens": 15021, "cost": { "input": 0.0028475, "output": 0.00087, "cacheRead": 0.003456, "cacheWrite": 0, "total": 0.0071735 } }, "stopReason": "toolUse", "timestamp": 1780777866196, "responseId": "resp_0a9e4511c6d55ec0016a24838a43948191941db667246dad8b" } }, { "type": "message", "id": "a82b9bc5", "parentId": "2007d3fc", "timestamp": "2026-06-06T20:31:19.758Z", "message": { "role": "assistant", "content": [ { "type": "text", "text": "No completo.\n\nEl wifi tracker hoy sólo conserva\ncrudo desde el 24/05 al 06/06.\nO sea: ~2 semanas, no 4.\n\nCon lo retenido:\n\n- Infra de casa:\n router, Google Home, TV sala,\n enchufe balcón, remote IR:\n casi 24/7 todo el período.\n\n- Señales “humanas” detectadas:\n - 24/05:\n un desconocido\n `40:1a:58:c7:5c:3d`\n ~5.5h\n +\n un iPhone privado\n ~0.2h\n - 25/05:\n iPhone privado\n ~17.1h\n +\n mismo desconocido\n ~8.4h\n - 28/05:\n iPhone privado\n ~0.5h\n - 01/06:\n iPhone privado\n ~0.6h\n - 05/06:\n iPhone privado\n ~0.8h\n +\n otro móvil privado\n ~0.3h\n +\n desconocido\n ~0.6h\n - 06/06:\n `iPhone sebas`\n ~14.6h detectado\n `Macbook sebas`\n ~3.4h detectada\n\nDato importante:\n- Antes del 06/06 no aparece\n “Macbook sebas”.\n- “iPhone sebas” sólo aparece\n el 06/06.\n- Antes hay varios iPhone con\n MAC privada, así que no puedo\n afirmar cuál era cuál.\n\nSi querés, te lo rehago en uno de\nestos formatos:\n1. resumen por día\n2. foco en “presencia humana”\n3. tabla por dispositivo\n4. te dejo export CSV/JSON\n\n", "textSignature": "{\"v\":1,\"id\":\"msg_0a9e4511c6d55ec0016a2483907e00819198fafe838c5a72f2\",\"phase\":\"final_answer\"}" } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 2751, "output": 399, "cacheRead": 12288, "cacheWrite": 0, "totalTokens": 15438, "cost": { "input": 0.006877500000000001, "output": 0.005985, "cacheRead": 0.003072, "cacheWrite": 0, "total": 0.0159345 } }, "stopReason": "stop", "timestamp": 1780777869408, "responseId": "resp_0a9e4511c6d55ec0016a24838d78dc8191aa0e532f4a152cbd" } }, { "type": "message", "id": "e546a393", "parentId": "a82b9bc5", "timestamp": "2026-06-06T20:32:54.432Z", "message": { "role": "user", "content": [ { "type": "text", "text": "[telegram] que raro que no haya al menos una semana mas de actividad (donde aprox se creo el proyecto, mira metadata de archivos)\n\ncuantos moviles hubieron y que perfil de conexion?" } ], "timestamp": 1780777974431 } }, { "type": "message", "id": "a64c6c43", "parentId": "e546a393", "timestamp": "2026-06-06T20:32:57.905Z", "message": { "role": "assistant", "content": [ { "type": "thinking", "thinking": "", "thinkingSignature": "{\"id\":\"rs_0a9e4511c6d55ec0016a2483f794988191a261e814dabae378\",\"type\":\"reasoning\",\"content\":[],\"encrypted_content\":\"gAAAAABqJIP51RpQPyzlY62Dblgnlv1q72Gnt-3c5DIDszMOnu1Iuu0Jl1ivcUEozwRUxu5wi2ApdB01p8qB2iR81a15w9fZY8AtyDveXGyYgxO9E7f4sJP-w-cJeGMfFsje1BbGUD5ON1krFPS204FMH2AJAXnuxGBDK7hvlyO9JCeNlrJGPdVwXZf9pL_R1RbTdy0tOsHSsZBv91ZnWzJUGIUax_ZEYnkex6FYtrxSXTeNYED1fIk2NZUKrUeO6opAEldQ1GIaYxLTrznp1ZYo29A13ZcBhlffUiE87enOfJuG27F8TsZGYcpLTjNSCgTsWHei_UxTINu3mcr4_r4Kn9ikTxX4mlTXJB9TV7T6RKTKustNdyKZmrNOPWp9KZ0FQUaoK9Ff3YnqCs2HqtgFVGwjkRbpTI4s-30SO_S0kY4yylkk8Jh8Mvna4F4al0f4D33Mr1SyMQpswrPHxSM6AYqn-Mmn6MHlu3VTLJv6f9UkJX9W_3ekv5NanzZV0QwVExUBGm05Z-NjQvJL7F80Wt6EnTufk37skQrQmtP8Nb2Ji_8_xrweEKW1zKJqoxWHWPhlR1OYaaYYhshS5VH3uPv4UMQ-Ba8bPtF6APghWToTMRvwdU00tQnyLZgjcGOwHpFiORsKUUglx8DTcx_FAc4fek2JpPnTFx6C6mjfcs7OG_0nU0gW6mT7I7O4jyT-mZ-N2C2c5X6qo_HKdn7t7UlhtHB6tOUt3baRjcRYeRmZurQ4g8YtWHw-WlIbxspZBWFSAQQFF6RXqjoJCeBWzh4V2xsQ3ajIIwFJlPM-indfqsTDAyaPNrU6FIML0WlQsS82r9UEdSqzkeDKjprLT7vQ56bY4Rxo1_jW2qxWu4CrK8uzhC73_Y-af6doZOibQz05vYlccXeE13KGJRtd0fcyvZlCqAexzOv8zp5Z3qN41AZ5cbQMINICSSZZD8g-pEcwpk8b9hP6pkzOQFKCajtJa2TLCg9oCwPym78JHn3ZVTdPaDdthFKXVTXh5gCGJuLyUn9FpVXKxCJURekFnz8YCD7CTfQMiEsyVatfZJUGTCXV6k0=\",\"summary\":[]}" }, { "type": "toolCall", "id": "call_lbNqwze2UfgmUDNG2lbYFh18|fc_0a9e4511c6d55ec0016a2483f9afd88191bf9302e4fc10721e", "name": "todo", "arguments": { "action": "create", "subject": "Revisar metadata y móviles en wifi tracker", "description": "Ver si hay más historia por metadata/rotación y contar móviles con perfil de conexión.", "activeForm": "revisando metadata y móviles", "status": "in_progress" } } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 9799, "output": 90, "cacheRead": 5120, "cacheWrite": 0, "totalTokens": 15009, "cost": { "input": 0.024497500000000002, "output": 0.00135, "cacheRead": 0.0012799999999999999, "cacheWrite": 0, "total": 0.027127500000000002 } }, "stopReason": "toolUse", "timestamp": 1780777974433, "responseId": "resp_0a9e4511c6d55ec0016a2483f682748191a60598488c460237" } }, { "type": "message", "id": "937baa90", "parentId": "25748f86", "timestamp": "2026-06-06T20:33:01.782Z", "message": { "role": "assistant", "content": [ { "type": "toolCall", "id": "call_QEm3ryxCwQWGhQRoElfBjK0s|fc_0a9e4511c6d55ec0016a2483fdba1081918fcefee73b98ed22", "name": "bash", "arguments": { "command": "stat -c '%n | size=%s | mtime=%y | birth=%w' /home/sebas/runtime/agent-logs/wifi-presence/* /var/www/wifi-tracker/summary.json 2>/dev/null | sort" } }, { "type": "toolCall", "id": "call_ZbBtNE5vCPYfNpLzhY3K24f3|fc_0a9e4511c6d55ec0016a2483fdba24819196869a4c690a487c", "name": "bash", "arguments": { "command": "python - <<'PY'\nimport glob,os\nfor f in sorted(glob.glob('/home/sebas/runtime/agent-logs/wifi-presence/activity*.jsonl')):\n with open(f,'rb') as fh:\n lines=sum(1 for _ in fh)\n print(os.path.basename(f), lines)\nPY" } } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 186, "output": 168, "cacheRead": 14848, "cacheWrite": 0, "totalTokens": 15202, "cost": { "input": 0.000465, "output": 0.00252, "cacheRead": 0.003712, "cacheWrite": 0, "total": 0.006697 } }, "stopReason": "toolUse", "timestamp": 1780777977907, "responseId": "resp_0a9e4511c6d55ec0016a2483fa02848191a3017e02a3e05bf3" } }, { "type": "message", "id": "b39e8f44", "parentId": "e43df84d", "timestamp": "2026-06-06T20:33:08.590Z", "message": { "role": "assistant", "content": [ { "type": "thinking", "thinking": "**Considering project creation**\n\nI’m thinking about creating a project around May 5, starting with the inventory I first saw. I'll need to count the smartphones and gather their profiles. Using fingerprints might help in identifying the smartphones, so let's inspect those fingerprints and summarize the devices. It seems like classifying them could be a useful step. This approach might give me a clearer understanding of what I have!", "thinkingSignature": "{\"id\":\"rs_0a9e4511c6d55ec0016a2483fea07481919ab7229c069d5695\",\"type\":\"reasoning\",\"content\":[],\"encrypted_content\":\"gAAAAABqJIQEXlHP1qbYiV4WSmm4dpwRaOXR65lBknurepQwcTVqv91dUS7Z9GsidlrEam1xB7FunXry1ta_KrHTq0mrAOdcC3o2D79Sd9shg_-HEx-nY13xuIHIDPhEI-OktslkPy-tncrS4YiOj7w-9S1uPhy3QJbL_KHMRN5qe-XY44PoyC9TpSfqSR5mZKoPHO7xq0HWjaYFRGB9XZSLqhSvxQPg2wcNIqFfY4WnOcusV8x5saoNJhziP5eGo3Q37VYgMajbKdVqz7Bh8_3nEd9LlHlMlza5HLDFGhgBIxZFzPKVLakE-uOIE2k_KJdInj1kITstBaQGFt7DC03zgeTT3_3FErj-3FRFfhdz7-idyyqLxKRzNOPYSNRJ_gNEJbEnl5pONMyLI0mHYbg4NN12IpFLlbXxKBARDd8ybi4oQ8e4ak9DG7wQBiohPRqIoo9oZuJ01Yaf6YsEH1W3oNGj_ETM2QboxUTjDvA7cnVDk8T0ziUO3YgmJzr_zFCKiECTXdYC9VYboOywY7eBxPOZy_A3JrUxCjIxrmjQNJmNSqUTEkoq56SL2gqFk7Akx4jgRhs-pMhjCH9xqWQdYQD2DVK2cwFM1oqprYioSvIFA2WCLd_oSaUsV3pLZx_QlqpznazpKTp3P-6HVsW3sLGBZPITSMCpJ3ghvDy33MUf8ifPNaOXwIOASt9paUdcGgADDhFdoV9JMe-jMJ4INd5HZ10bNSgsFJc6FqfVhvTKTxaFEsJ-zHC4c1fLsY9eoqII4B_Hfk0hDYYbBn8e_LQCL4eFyB1MW3WYISyNLY794LUZDZh0LROGdpUY10tkZkQ43ML85wqYvDKz3NCVWCVWli9mgFTxKA9htERVMSMTIesqETae_ulcdlQPn7SGutecDz_nRnJ0AoAztsbcrxueciNxpfikuoaiz28Uwm_kDWTIl7DIY94OajYI_GqHJZ8WR5By3sMDAcim4q9R-D-gSA9GiLkc6snGN1lOlqTiLf-BWqilSa-gzG7IXAJc9dHTvxX7P8tmrgdcvi1FJ21Ztak5PWo2oiKW2Nc6FDPsg-9CPnCOUMHNlLzOLIq-EONoMbEcojWl1yMMrx78pJW_vIoN8LaS2h8enIUvsWO9tr1T-T7AtupGuZo7vYWPvh9nSqJflaIiSYmmlFPaVXbFYbFxU8mmabrnj3ei6pVu4gAp6b4=\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Considering project creation**\\n\\nI’m thinking about creating a project around May 5, starting with the inventory I first saw. I'll need to count the smartphones and gather their profiles. Using fingerprints might help in identifying the smartphones, so let's inspect those fingerprints and summarize the devices. It seems like classifying them could be a useful step. This approach might give me a clearer understanding of what I have!\"}]}" }, { "type": "toolCall", "id": "call_CIyK4smmmMFOI5P1ubD5ly9M|fc_0a9e4511c6d55ec0016a24840484208191b321089d1c65d8f2", "name": "read", "arguments": { "path": "/home/sebas/runtime/agent-logs/wifi-presence/fingerprints.json", "offset": 1, "limit": 220 } }, { "type": "toolCall", "id": "call_ufmdQ8RHNZNp5ht2ie7Q3zzr|fc_0a9e4511c6d55ec0016a2484048430819191f4347fcfefe942", "name": "bash", "arguments": { "command": "python - <<'PY'\nimport json,glob,datetime,collections,re\nfiles=sorted(glob.glob('/home/sebas/runtime/agent-logs/wifi-presence/activity*.jsonl'))\nobs=collections.defaultdict(list)\nfor f in files:\n with open(f) as fh:\n for line in fh:\n o=json.loads(line)\n if o.get('event')!='device_snapshot': continue\n d=o['device']\n obs[d['mac']].append(datetime.datetime.fromisoformat(o['ts'].replace('Z','+00:00')))\n# mobile-ish candidates from aliases/fingerprints patterns will be decided separately; print all non-always-on irregular devices\nfor mac,times in sorted(obs.items(), key=lambda kv: len(kv[1])):\n days=sorted({t.date().isoformat() for t in times})\n print(mac, len(times), days[:10], '...', days[-3:])\nPY", "timeout": 20 } } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 1280, "output": 327, "cacheRead": 14848, "cacheWrite": 0, "totalTokens": 16455, "cost": { "input": 0.0032, "output": 0.0049050000000000005, "cacheRead": 0.003712, "cacheWrite": 0, "total": 0.011817000000000001 } }, "stopReason": "toolUse", "timestamp": 1780777981873, "responseId": "resp_0a9e4511c6d55ec0016a2483fdefe48191900ed215768543a2" } }, { "type": "message", "id": "ed8969ba", "parentId": "bc689402", "timestamp": "2026-06-06T20:33:12.954Z", "message": { "role": "assistant", "content": [ { "type": "thinking", "thinking": "**Identifying project details**\n\nI need to start by checking the inventory, as the first seen indicates the project began on May 5. It seems I only have six files due to the rolling nature of retention. I should also identify the count of mobile devices, and perhaps I can use fingerprints to continue tracking the remaining device entries, which might include iPhones. I'll read the rest to find what's relevant.", "thinkingSignature": "{\"id\":\"rs_0a9e4511c6d55ec0016a248405ed848191b6def17e0db5b9a1\",\"type\":\"reasoning\",\"content\":[],\"encrypted_content\":\"gAAAAABqJIQI8_g1IZx-mhlBzlelXwn3U3_naky4COvuDxBh1oLN9KvAVVnfFQfsFwznDGMS-acB9MPa14jk6qNP7xjV2jqrqv4VIfah1MP_jYg4tpNRUpPr8UZxcxKRRxvuIwpw1ZYTGRDSDU2YPiXPuGWANufBQsYRtyI2WC7XfS9bYxlBwULJNI-Vg5ORD3uU66PZloptZkC0nmoov1kucrAJgYf6JpeJ2ph9bDt9nKhrSy-28emODg1Ptm0kSfC993pqifRM165P_LhLy7AwV80_1B8MwsGJ-qIVM5Rj0Zus9NbU62h09sfWyCdjEuWh2Plcp3jT1cQc6tcNx0mPpaC9H98CeyUl15xHica1EiuHozA0GQ5UHa6aaaRpMEtsxKndzbO1kzoZxeEXLgjfdQ_4Y0_BVuqW0KimRS7-t1y9jd8jIiop0_VAt8ss2g7wM-xzOQrH5Y9r6wVN3h2Lug4Zi3mPqUicXqiXLvt5fz7VxcfoNCB-PVQP17Bv-jCfhB9ieBTaASVfkI0O_ljy_hecpwoKY7DzUt1KB7G-WHZcnjLlqqFHrZTeuFRNJFs68eq_SXT_sMPv-Za0YGPfgQM8hcobskOGlDydEsWhKKmZ3pItnYzI-PuE-gPudAoXz8ym2GC3xBnur6OelmonwotY1160IihASRzpseNmlq4FKHUOcwzHu5scWgvCbR0LVNnapfgJhoa-zwyV11r26mxboMWFvN1Mo_Gss2BlQbT0RKYl-vmuPeycRXFaWI8pALyQGFrqKr8y2agTktWdBkik1y35H9bkOIcC6O2v9avEboxsAG5y6tbDTOgRBYVcpZlvbopFBQoHq9lfUxoyy1liyAx0BW5S3DRyz46gveFGFyOCAGCgwy0ym7b6U_VdWfrf-YtnJkhdyAqxeoj7JGQ4TDb31R_ioxfblt1HWGhTx9A5UQKtLFcZ8u3gsf8--Br1-s6Q8NoYfYV-ny7UfHC-9oDN90_YbI80qNKDVTDcYuT_yL4eXCuZXUWdJVM8_-_tx7vzyIwxhXB8EauE1zx5dYvnpu6B1WgJabq_Yg-Lw_S4uqHS7DB8KBs-XlZv6Tdt52srAHQaY9GbmYLHS-7UngaoFmwN9tbj2Lz70Hkzb0pCHk-Ho0VKTsP_EHrXCR3dpJrhWpQR0NSBmdY3_DY0uEpK60Azp3QeSE4nqdCrssJeYyuVxa5OnAckLf8AlvEubSAE_a177DZFFDRMOkSFU0rdupQoE1RwOCGsr3d3DJRcnFc=\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Identifying project details**\\n\\nI need to start by checking the inventory, as the first seen indicates the project began on May 5. It seems I only have six files due to the rolling nature of retention. I should also identify the count of mobile devices, and perhaps I can use fingerprints to continue tracking the remaining device entries, which might include iPhones. I'll read the rest to find what's relevant.\"}]}" }, { "type": "toolCall", "id": "call_o4b8EZqTPpIx0LdnhxBgeHnE|fc_0a9e4511c6d55ec0016a248408c7fc8191848e4f3f57edd2d9", "name": "read", "arguments": { "path": "/home/sebas/runtime/agent-logs/wifi-presence/fingerprints.json", "offset": 221, "limit": 220 } } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 15142, "output": 92, "cacheRead": 5120, "cacheWrite": 0, "totalTokens": 20354, "cost": { "input": 0.037855, "output": 0.00138, "cacheRead": 0.0012799999999999999, "cacheWrite": 0, "total": 0.040514999999999995 } }, "stopReason": "toolUse", "timestamp": 1780777989103, "responseId": "resp_0a9e4511c6d55ec0016a2484052cec81918f369f4912bb3d25" } }, { "type": "message", "id": "1e324031", "parentId": "de724ab3", "timestamp": "2026-06-06T20:33:25.683Z", "message": { "role": "assistant", "content": [ { "type": "thinking", "thinking": "**Calculating mobile device count**\n\nI need to compute the total count of mobile devices and create a succinct profile. I'm estimating maybe around 5 mobile candidates currently in retained logs. Should I include MacBook? Probably not. It could be 6 if I consider unknown entries, since 40 aren’t mobile. Initially, I want to confirm if the project existed earlier based on metadata. The first seen date from inventory is 05/05, so I should inspect the inventory further to determine the exact number of mobile devices.", "thinkingSignature": "{\"id\":\"rs_0a9e4511c6d55ec0016a248409a598819196bbb014d5d193d7\",\"type\":\"reasoning\",\"content\":[],\"encrypted_content\":\"gAAAAABqJIQNyT5kII7kZZ41TWvEwJxcQl_H6GHVmpv5f8wA1uMgs7qPoVWqYwL9juEFodCTLzo2SSrPZn22wNy6Fmbw_5tNq1U8rRUzv9_MkW710PppDSkfv5Cl2yFEaiGVnAcD8WF6v3jvCdnn5wVTCJFyhWZHY-delHUK-fkni_R-Xe1vO7vp5Me6UzwcFCR1FvUYn9otc3v1LckFsbxZS9AqkHyLF80EAQVzCeOUGJo0SUx9hD2E4uITmrYJxyPJXcM_kvTuhRz6K20cwONTruos8tU6bhCaXbc3KQoF8ppdG9qWY2lAuhSrmnCMS3S-donX5QmNFmlpb6G9qlZfjCC-AkgmOwx-qxy1EODqMufKot42OwATIWM0-Y0bYWzdXIHnTl-ZRZwtwS_13egVQBqQv4EVK75lnnaGxOzcsR8f21ScHMyEbPpwtXusDPwlC5pzzR2Sv8TYPuUyDH9sUXf95Q624UlVX1sepkspyqOpNMouzBL7Dn-44N_Xsm1Xr_bo0SiTTMRTBbR4PciLN9A7bTXUJpwEzzBfz_JnoENlhgf512VTj7G3mMAAvZ3IR46wjMogAzqP5elnZDaTaY2sg-uK6bubeAjsxUGrBH-X2ORpileRJ8z00XfHJroHr16Zteb4ds2lfrrkasC85aF2pEGbeUSx5VcyHi0YWEk2SC3Lkaro1dbJLu0VPfLlJLFZZ0H77zf6q2YXMF_4_yhLW9cj8b2BrEK8uPMbTagyxJAcKXtPDepOXb0KgQvlrJmpFtfwHFcz6-zCIxjB0o9Ax7BQoIIx_r__7c8rRLYB_1zEfUEzqNIyuKjWzjBzdriFPti4Ki2y2S_qDaVMdAQqmDjcmdmn_wGHJyZJFHS7c39TeGrQtZy3y3zVX4AP2D9UEIfQWLHYZYTND7p8vd2lGNc37TIi5r5q3TrJFIxZhgYO9xr_BVGZwBrDbx5FHmcg-elKc5wCh5okRH2VFq0ILdhCE9GLEGL2cGoQaUKjcsJasWzG6QHEZboTpDVbppDojkqsigCkQxs5vRaHc5KfNV2ldEOoIRidzOJ07CmDEJYmPieAFgH_LbULXrgFZE00lTsbMsUXgZaVcLPJHu_346vaNd2cwj_B5I1Q-pC2DgOu1Mw3U9tLEugz_8WSTmLiei3R3g6Sg7YH-ZOSu8CKeCZ5XaEseE0xbOyDX9qWCw61WLIwPPNqhahh2Jqzz8I84dqXe5hxTqQrY6aDO1baggukOJWMKsgj_nQuCjtIH-s4d92MzoqnqbWIhCzYJk45ahot0WJNvodZmN15uPcSSQ5PfRHm8GGjevUsmtonkhRCmGqop4uNMY-iwQVfn1r1stiZIB5XdquY8pCMo5Jfu8lOgAQkyFzr4ZAve2_YIqhsqNQ_zMDQQ5GWA3M9rULBWU6bV6gYGe-uMJxZ1XMK0P7XQzlKD0iZax9Dt3q8ajJlDxRDcp9XOI5oqOEYn0f3ePKFD6PQaMineZtq53T1oKAqdl4SmHSEanH62syY9VqNTJx3cRn5v3Yt_RWk_szm-Vh9MBm1WLR2p7E-TTB5pDjk5A==\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Calculating mobile device count**\\n\\nI need to compute the total count of mobile devices and create a succinct profile. I'm estimating maybe around 5 mobile candidates currently in retained logs. Should I include MacBook? Probably not. It could be 6 if I consider unknown entries, since 40 aren’t mobile. Initially, I want to confirm if the project existed earlier based on metadata. The first seen date from inventory is 05/05, so I should inspect the inventory further to determine the exact number of mobile devices.\"}]}" }, { "type": "toolCall", "id": "call_6axz46LK0KHNlOxggTasuStR|fc_0a9e4511c6d55ec0016a24840d401881919ae87cb3f067dd39", "name": "bash", "arguments": { "command": "python - <<'PY'\nimport json,glob,datetime,collections\nfrom zoneinfo import ZoneInfo\nTZ=ZoneInfo('America/Argentina/Buenos_Aires')\ninv=json.load(open('/home/sebas/runtime/agent-logs/wifi-presence/inventory.json'))['devices']\nfp=json.load(open('/home/sebas/runtime/agent-logs/wifi-presence/fingerprints.json'))\nfiles=sorted(glob.glob('/home/sebas/runtime/agent-logs/wifi-presence/activity*.jsonl'))\nobs=collections.defaultdict(list)\nfor f in files:\n with open(f) as fh:\n for line in fh:\n o=json.loads(line)\n if o.get('event')!='device_snapshot': continue\n d=o['device']; obs[d['mac']].append(datetime.datetime.fromisoformat(o['ts'].replace('Z','+00:00')))\n\ndef sess(times):\n times=sorted(times)\n if not times: return []\n out=[]; s=prev=times[0]\n for t in times[1:]:\n if t-prev <= datetime.timedelta(minutes=6): prev=t\n else:\n out.append((s,prev+datetime.timedelta(minutes=2)))\n s=prev=t\n out.append((s,prev+datetime.timedelta(minutes=2)))\n return out\ncands=[]\nfor mac,d in inv.items():\n alias=(d.get('alias') or d.get('display_name') or '')\n f=fp.get(mac,{})\n ports=f.get('ports_open',[])\n priv=f.get('private_mac')\n mobile=False; reason=[]\n if 'iphone' in alias.lower(): mobile=True; reason.append('alias')\n if 62078 in ports or 49152 in ports: mobile=True; reason.append('apple-lockdownd')\n if priv and ('probable móvil' in (f.get('guess_alias') or '') or 'Apple iPhone' in alias): mobile=True; reason.append('private-mac')\n if mobile:\n ss=sess(obs.get(mac,[]))\n cands.append((mac,alias,d.get('first_seen_ts'),d.get('last_seen_ts'),len(ss),sum((e-s).total_seconds() for s,e in ss)/3600,ports,priv,reason))\nfor row in cands:\n print(row)\nPY" } } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 6749, "output": 663, "cacheRead": 15872, "cacheWrite": 0, "totalTokens": 23284, "cost": { "input": 0.016872500000000002, "output": 0.009945, "cacheRead": 0.003968, "cacheWrite": 0, "total": 0.0307855 } }, "stopReason": "toolUse", "timestamp": 1780777992956, "responseId": "resp_0a9e4511c6d55ec0016a24840906c88191b24bb2dfade5a24b" } }, { "type": "message", "id": "ae99b90b", "parentId": "359b5151", "timestamp": "2026-06-06T20:33:32.401Z", "message": { "role": "assistant", "content": [ { "type": "thinking", "thinking": "", "thinkingSignature": "{\"id\":\"rs_0a9e4511c6d55ec0016a24841763bc819193096db5f650a1a4\",\"type\":\"reasoning\",\"content\":[],\"encrypted_content\":\"gAAAAABqJIQcf-MmHxqm5gL0gVokI77nNIqpEZdjwC3uPdk7m3yZKtSQAfDi98EYicHC14-_bBF9sVY3EaooWDYPRkgFg9zPTIjoQiVWccGRJRSSW6yl9r4dCmaTZ4KxxUkQbvxbEHGqKm05xHLtJrs1tz8TqN6JmkisIN6gRGI-FbEai3zP_CozcUoYFzR3T5xnprdsol4lNcKxVzAF_71xTsdyamdvOdky5-Og14Olb5d7xvuGE9XxAu0dz9-z1ixe-wPW3q_nqj3wCpLmYHursCPdulIY_mgkSy50eN3dE_TABe5eTgxReGyffWai6Ceh6mVlIiTa6SVqDvlu8zexp3vdJ67ZuJxSYfq4b_SnE4K0ok03ao-NaPLsrDWETchpg2LCq-G8Jmpad2sxPKU-FnMB2-bIp12P6M1SBKuxpFXMgauVj7WeDhaPPmam6dThYdlz4XMXGVN1R-UgYUU-9IQkhFJGf7_v0eo5EYV7_KHyMghH251ck5sJJbXBBxdCrerwtfo4yoDQRO7TaHK1IXDUqLwU-rNsfGRT1iLMMDBX_3l7f0ILdPcjCRKx5KW4cMbSv3J1Qx-2vlH6ZV3Md5lQ8QC-up4FbmUAFL30F4aRBRiJ55A3SLE9zZWuCUK65AN5ATGwaNLnKCMTTp7HUtf8qEpWmOhJ0LHHFqoxFjHfYs7UnfhyNoL26wK_UWRHtxrMXmnIN7zWzz41y_ujy0rG0JqRP3n1qW6IeBb4gguk7Z8v1ssBFszkgObzmgPZSCJxGGW_NMlBmE0sPAmxEQhhOngFjNLiIYmG6foch8RT63dVB9RUmX4JCt9wi6sjhW05SvHF3K_CDCjMs7fjwgS4MNKmP1Od98BhBpaoppH-p5T1uLTu1LeOtsN6nSryBK0P_hgvbesiq1J48d6Ea68Nv1flQvliqbwdlZMTFC7sjTkUDUU4j8KTFQEZjozVQnnz7BVnzU_Jgw6lp8Gxb_vOYacVBedbCy73-6iRpJfhR0DUKHZ84Q4_rCfb4ESPv7jSNAJpS1fqlbpbDu4QEgzhpmRHDQ1mOrZb8I9EopDxO4Ajwjarfc9A13pVDd5_gHZxN3l0GkKaL-bO91s33iChfmzeO-8iiOzee64Px7IczqPJSeoSElQPwywyue-rjmbQ2JF8Bh2RIQELi8UXCeOPZYson3_WeWHv54fs6Er6vz5DgY7_Y5UfpCDGPV-tZF7l_3dGEXgtZi9J1m1G5XvllAwCQL0aPXkWU-_7tMtmWcVnGW5Owo-LQnP7FuSGomDuSLrgL9tIFvLDkOV-lbFKhkPbnJFqlyxFJYjVwi309SvpGnaha5JgoqEyKEXnUYrJADY2-7d01PILhg6_thun59-4dkelA71YbKt3ovNGb3Cs4bVQFzxgiI0llfQ-Eu6LHTFREy-uPIDm9ibEPjV4Q61N3FAdY8_LjvczFQiYvXHh7kmj3zsHfabVYkmL2EJa908Pca-UcYNiNLE2-cr6zGPhVdtTemO7TZgUnqsZGjGvKEnkpEYPzDgHWUeHr-TAPihOJAo470o6dFK0rdpJV4cK2bqaFjteZfoqfi7-cnpf65a4xpFQSA4UvsvpjuAyKfMTglCcGCxzsZ9zx3TXWqdibP7Wrm6ReCRKUgfGdLQuHfUivZZ8FQXs_qWr8hVV4i-_jlbjpsagdIzZRjr0PRtf1hJUWVA-tpEiSA3XRy4U_WWYdoffNpGDCqXt1r6C0qJs1vzyJ7N7NNejZWWW0tE0emOPpeojjQPIn7tZwOAdS01uvrMdiNy1fTCZbije0mdhnsPEIAIv8j3dUmGwJSxxN4YUWbV09q8_ncOvxSpyOsNm1etNKGW-uaEPtsmQiWdd_cxfGxp26X7NwJFSEZ3u4coni-1XhLw5FwR3Eh9GJ8RM9VfAg47SjO0EfOYxiH1vnLjaGZq9gqOKrlCh7Ae6Y6Ch4qDpCAmf1KJ4Z-ljeHEjIjEqBPAEVQ_FjJFPQx7zg3b33tlf4freHxdN4aE7aSGGZkr0nhgtC4IgIlTudIzvWN5I1DDbFRj-9gb3OzqHeK0GDjJ6TtKIKECD4p3lJg==\",\"summary\":[]}" }, { "type": "toolCall", "id": "call_a7mcysRIdEryHwPYT1SwYpAs|fc_0a9e4511c6d55ec0016a24841c3e4081919b09052ba21399eb", "name": "todo", "arguments": { "action": "update", "id": 2, "status": "completed" } } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 1223, "output": 257, "cacheRead": 22528, "cacheWrite": 0, "totalTokens": 24008, "cost": { "input": 0.0030575000000000003, "output": 0.003855, "cacheRead": 0.005632, "cacheWrite": 0, "total": 0.0125445 } }, "stopReason": "toolUse", "timestamp": 1780778006130, "responseId": "resp_0a9e4511c6d55ec0016a24841632048191b0af96cd88601afb" } }, { "type": "message", "id": "4c41da5b", "parentId": "4c89e6f7", "timestamp": "2026-06-06T20:33:46.396Z", "message": { "role": "assistant", "content": [ { "type": "text", "text": "Sí. Metadata confirma eso.\n\nLo que pasa:\n- el proyecto existe al menos desde\n `2026-05-05`\n- se ve en `inventory.json`\n con `first_seen_ts` desde ese día\n- pero el crudo `activity*.jsonl`\n rota y sólo guarda ~6 archivos\n de ~4.2 MB cada uno\n\nEntonces:\n- hay historia desde 05/05\n- pero sesiones detalladas sólo quedan\n desde 24/05 aprox\n\nEjemplos:\n- `iPhone sebas`:\n first seen `2026-05-05`\n- `Macbook sebas`:\n first seen `2026-05-05`\n- `iphone rodri`:\n first seen `2026-05-06`\n- `iphone nacho nc`:\n first seen `2026-05-06`\n\nMóviles detectados, ever-seen:\n- 6 móviles\n\nLista:\n1. `iPhone sebas`\n2. `iphone rodri`\n3. `iphone nacho nc`\n4. iPhone privado\n `ae:54:7d:48:70:dc`\n5. iPhone privado\n `16:a3:ee:79:d7:8f`\n6. móvil privado\n `92:1e:fe:36:21:42`\n\nPerfil de conexión:\n\n- `iPhone sebas`\n - perfil: residente / largo\n - first seen: 05/05\n - en crudo retenido:\n 06/06 dos sesiones\n ~10.1h + ~4.6h\n - evidencia fuerte:\n puertos Apple `62078/49152`\n\n- `ae:54:7d:48:70:dc`\n - perfil: visita larga\n - 24/05 y 25/05\n - ~17.3h total\n - parece iPhone con MAC privada\n\n- `16:a3:ee:79:d7:8f`\n - perfil: visitas cortas repetidas\n - 28/05, 01/06, 05/06\n - ~1.9h total\n - parece iPhone con MAC privada\n\n- `92:1e:fe:36:21:42`\n - perfil: paso muy breve\n - 05/06\n - ~16 min\n - móvil privado no identificado\n\n- `iphone rodri`\n - perfil: histórico puntual\n - sólo inventario\n - first seen + last seen: 06/05\n - sin detalle de sesiones retenido\n\n- `iphone nacho nc`\n - perfil: histórico puntual\n - sólo inventario\n - first seen + last seen: 06/05\n - sin detalle de sesiones retenido\n\nLectura útil:\n- móviles únicos ever-seen: 6\n- con actividad detallada retenida: 4\n- con patrón “estadía larga” claro:\n 2 (`iPhone sebas`,\n `ae:54:...`)\n- con patrón “visita corta”:\n 2 (`16:a3:...`,\n `92:1e:...`)\n\nSi querés, sigo con uno:\n1. separar “posibles personas”\n2. armar línea de tiempo día por día\n3. decirte cómo subir retención a 4+\n semanas reales", "textSignature": "{\"v\":1,\"id\":\"msg_0a9e4511c6d55ec0016a24841d50c48191b8032f5e6a6500b3\",\"phase\":\"final_answer\"}" } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 4058, "output": 723, "cacheRead": 19968, "cacheWrite": 0, "totalTokens": 24749, "cost": { "input": 0.010145000000000001, "output": 0.010845, "cacheRead": 0.004992, "cacheWrite": 0, "total": 0.025982 } }, "stopReason": "stop", "timestamp": 1780778012403, "responseId": "resp_0a9e4511c6d55ec0016a24841c76d48191895e9d37dc65e55e" } }, { "type": "message", "id": "49e7744d", "parentId": "4c41da5b", "timestamp": "2026-06-06T20:38:36.011Z", "message": { "role": "user", "content": [ { "type": "text", "text": "[telegram] nombra \nae:54:7d:48:70:dc \"pili cassani ?\"\n16:a3:ee:79:d7:8f \"juan cassani\"\n92:1e:fe:36:21:42 \"benja cassani o dahi, android?\"\n\nlos datos rotados no se pueden recuperar? y por que rotamos? si es por espacio no se puede comprimir la informacion?" } ], "timestamp": 1780778316010 } }, { "type": "message", "id": "32821ddb", "parentId": "49e7744d", "timestamp": "2026-06-06T20:38:41.061Z", "message": { "role": "assistant", "content": [ { "type": "thinking", "thinking": "", "thinkingSignature": "{\"id\":\"rs_0a9e4511c6d55ec0016a24854e47bc8191aa29f5f29afa7688\",\"type\":\"reasoning\",\"content\":[],\"encrypted_content\":\"gAAAAABqJIVQ75nw3aFczCmG7aszCz3a4IZG60KiyM6OpfyjEvJR3fomWduSqhVrJhvPA-SLFrtGXELCBY4g_bGbyQLjHySUrLRvF_YezjoZO4rUjJf3K0oOHWjkqt2p59rFnMwLPODEWjYnIayMKWXNFBexFw69DdX-Dr7r8MsS-wv6H0wm4XtoWi2Iyqg3-uxqkWZBYKnIDAaMHFkzKKjGt120BOzN0fDYLf6emQ3eF4vdKLg_nIib1tlsYNUm3-tczF16P1AV4LxWH0BeoOL5d4qgw_0bEz4wtpIehtsMOrg9rV10Dr2OuUq3BqQmaRxSJuNtXk4Xi4CsXryh-C4uAmACKXXQbh2dxzuIhWYFL62pL2qDo6l2tbo9bTG-ShbAV7RgDmxcD6V--usz1X9lJdQw_e_pYfXqpo5Gs0EMtK4PoGN1RrViacDmjH-sAAYluE2upfSXej1eDMj7sR9-NCXMJYagse8HLWH9iVtrP4aAml0pJT0YohSN6SLZnBpi5zB_8nKkSnloTAfkoR5ipSgGeF-v7Fmb9N2JksEluTQ2mOz0nFR_hWvj1d2xCWwlfNNUQpLiV16lNvZw9yYZGJobY2ijhcl-4T21dVMXHGJCvpJJbdIVk7FcFUztd1c-OyJaOpm2AA-uF8yqAMyrUM-bNvLbS1Spu_P2zUxX7uuGI9OFk_39rmtIFFgGTZJBjTA04poD5xkcgx_o4b4b-JtxqsFGfmHXlNYrIZJ48QCTEnHtL-z0ayNi4gbrnXfSYSNv9a0Sbjdn8k7klNTA6aD_szZ19fQJd74ACqv5qFX8z04DebK4Yw9_Z3XdM7XjV4u8mMqDkDidaNYEaYX_sSDpM84xPpcaFd8EYqlmVvvaMJrYv-pKpfa7cqc3Tnv7wx2BOC0wtlltPnSjle3CVM959NL6lHGkdbivtF2X6w9fPxg4OYZo9KzU_aiBNw0bJTX7XWfJUn0WIWnodR8VQIuIWx8h-KvDRy0gZfvteXBhxvIyKGXP6co1x_ntzgjuEjnVSHtK-GTWDjh92WtECRoQzT9ManQRXei2AZE5CH8UPKLloyZt8npm3yPQQzsJ0p6oTZ75DfPli4_3AP1ZcjIMTvrfsqBfnDU28EqlRLVPmCBc8FLf3AYEXL6LTek01xHPQoprsXlTeah0CTjSPqiWu4lx_dkPUdM-aaI9s5e7id8DXM_-kAjke3Qpd9LTiS555Mb0EYkhcy5yWPOV1S34DsRlEBnioKGZ3E0rHAOFSlElQdsK5rWxbQOmLRWOiN92nzv4koqTYgmDj_RNKRtvgtTn8nazwbpeJQVfbsvZOvSfd_kav5M4iVeeXsEj07Ds8_lrPMV1QgN0zCZ6S_SHNhX6CSb37SSh5yCHo1yNB0UWU2w=\",\"summary\":[]}" }, { "type": "toolCall", "id": "call_6kSFgTidloOwpgvPpCuuqS97|fc_0a9e4511c6d55ec0016a2485506a1081918b521169d397b192", "name": "todo", "arguments": { "action": "create", "subject": "Renombrar aliases y explicar retención wifi tracker", "description": "Actualizar aliases de móviles indicados por el usuario y revisar por qué rota el log, si se puede recuperar y comprimir.", "activeForm": "actualizando aliases y revisando retención", "status": "in_progress" } } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 9547, "output": 148, "cacheRead": 14848, "cacheWrite": 0, "totalTokens": 24543, "cost": { "input": 0.023867500000000003, "output": 0.00222, "cacheRead": 0.003712, "cacheWrite": 0, "total": 0.029799500000000003 } }, "stopReason": "toolUse", "timestamp": 1780778316012, "responseId": "resp_0a9e4511c6d55ec0016a24854c17b08191b5eb80d1d6c44f54" } }, { "type": "message", "id": "9ca37770", "parentId": "af81801e", "timestamp": "2026-06-06T20:38:43.343Z", "message": { "role": "assistant", "content": [ { "type": "toolCall", "id": "call_vh8yf655acicZX7tjnjpKv2j|fc_0a9e4511c6d55ec0016a2485534a1881919ab547d58746a7b8", "name": "read", "arguments": { "path": "/home/sebas/pi-config/bin/wifi-presence-log", "offset": 1, "limit": 260 } }, { "type": "toolCall", "id": "call_XynduDghiuDzvJGTjp30ES18|fc_0a9e4511c6d55ec0016a2485534a288191b90d27f035fef18e", "name": "read", "arguments": { "path": "/home/sebas/runtime/agent-logs/wifi-presence/aliases.json" } } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 506, "output": 80, "cacheRead": 24064, "cacheWrite": 0, "totalTokens": 24650, "cost": { "input": 0.001265, "output": 0.0012000000000000001, "cacheRead": 0.006016, "cacheWrite": 0, "total": 0.008480999999999999 } }, "stopReason": "toolUse", "timestamp": 1780778321063, "responseId": "resp_0a9e4511c6d55ec0016a24855129f4819181a9344c416f9551" } }, { "type": "message", "id": "1425a6ef", "parentId": "7c50310f", "timestamp": "2026-06-06T20:38:49.424Z", "message": { "role": "assistant", "content": [ { "type": "thinking", "thinking": "**Considering file edits**\n\nI need to edit the aliases.json file, and I'm thinking that maybe the summary updates could happen automatically in the next cycle. I wonder if running a service would be needed? It might not be necessary, though. I guess I'll go ahead and make the necessary edits first.", "thinkingSignature": "{\"id\":\"rs_0a9e4511c6d55ec0016a2485547a2881918ccb77c58900f2e1\",\"type\":\"reasoning\",\"content\":[],\"encrypted_content\":\"gAAAAABqJIVWJ_UeOPqOsCNj0-Fch0La5ENtsCrqzrM7wykrDtb9olEtWk_WVN_fP2vOrVRylWJD8DXiBG-7kLsPsAajC2r6uOoLez6yPqkPVniboj7W4gb-uRvVAfK-8o9AEbXPgpaA4O0h7KWFH1VjoFByOGZ6YlL6nMaXxAfUEPSOqo3iGeVJ3BrAVAj2uFREiZ2xQ2HIaROR5_NOafmQNe8jeUIjmHu4lwCgIwY5rncYtRxUJ9_qlntqK_RpmXstef8X6IKAh46APG_WzYoXPX8SlVgJvSDnb9UlbKEHaw9wDu3DOtLjIzaIR9-DczmWep-8AAcKh2tyTyKBnutoOE_9mPeso27EHEYiTePkkoS-1TQ7vRhRN-6PIlJKKtaK-uiJcCiFElFlRiPNJWdJsE6E3I0jhe7cb8iY_y8uDpe4ZVet_zG6c0-KzGSMJhQ9iDKs-I2RvsOHCjcn2-coALRaofWeKpGLtaxPeRcWgrA-nu1p_CNp9C52jgn7p9rW4TleLENA5pnuTVOlL_C4m8d6SjL1bTgVtjQEAYX4NYlYEs2iy8fik3HUuMMcLbmpaNv74e0p3j7S98VJ2MknzJofyqbVqU_VmWl-XXxVqzOYB8oyOaakcrQesA54WwUkfJvE-HnawRgIjI2ORp0HdLyLH1jlLfvvPT9HcO0h4EbqsUQAyGywjjowD6kFRk8RKzZw_CJVVC0lA8lYWnagtvuUsIxp7Ldoz7B540pJiQos-s-z_aS0iPlF28iwgALLpXmIG7wP0aMzY6eXB97yflNzVMVfw_xJn1-DiNaKb2QvbYQlY-hminSy0EVMqVvJ-E5R4h0wl7_Ob3ODbMtLB7tjVDOUDRWFBPeIdK4JkSrIAx3Ns7sd8SG28_Y5-52bJgfZgjs6-lUmb60JDEVSX-EZDSZssXfmJ4S9NYQ3uQo2fpt9pXEV-yj2KZfZdTo_F18NAoAze2Kjv8dLFl2Q1gl6burixOUpLQmp-ZcOt9XcjAZS3akncQlgld7DUA2EGl-zs1tDrJOMe1EhRqzYdoNqVsysjoQvRpoagjPAa84ScNqkNwSCyYbMw594ZrnHKpnGXac0TTrMjTAVQrF99IkXSdqvrw==\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Considering file edits**\\n\\nI need to edit the aliases.json file, and I'm thinking that maybe the summary updates could happen automatically in the next cycle. I wonder if running a service would be needed? It might not be necessary, though. I guess I'll go ahead and make the necessary edits first.\"}]}" }, { "type": "toolCall", "id": "call_LygK9jR2UPXzn4CbrDTUF0Yp|fc_0a9e4511c6d55ec0016a2485567fdc8191a31e06456186bf41", "name": "edit", "arguments": { "path": "/home/sebas/runtime/agent-logs/wifi-presence/aliases.json", "edits": [ { "oldText": " \"16:a3:ee:79:d7:8f\": \"Apple iPhone con MAC privada y puertos lockdownd [from AI]\",\n", "newText": " \"16:a3:ee:79:d7:8f\": \"juan cassani\",\n" }, { "oldText": " \"92:1e:fe:36:21:42\": \"Dispositivo con MAC privada / probable m\\u00f3vil [from AI]\",\n", "newText": " \"92:1e:fe:36:21:42\": \"benja cassani o dahi, android?\",\n" }, { "oldText": " \"ae:54:7d:48:70:dc\": \"Apple iPhone con MAC privada y puertos lockdownd [from AI]\",\n", "newText": " \"ae:54:7d:48:70:dc\": \"pili cassani ?\",\n" } ] } } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 3247, "output": 267, "cacheRead": 24064, "cacheWrite": 0, "totalTokens": 27578, "cost": { "input": 0.008117500000000001, "output": 0.004005, "cacheRead": 0.006016, "cacheWrite": 0, "total": 0.018138500000000002 } }, "stopReason": "toolUse", "timestamp": 1780778323347, "responseId": "resp_0a9e4511c6d55ec0016a2485536b408191aafaa6922e1e2c6f" } }, { "type": "message", "id": "63d4d5d5", "parentId": "02787e04", "timestamp": "2026-06-06T20:38:54.378Z", "message": { "role": "assistant", "content": [ { "type": "thinking", "thinking": "**Addressing log recovery issues**\n\nI’m considering how to mention that recovery from rotated logs is impossible without backups. I should inspect the summary to see if there are older buckets available, maybe only for the last 14 days due to the tail. It might be helpful to check if inventory logs contain the first seen metadata. I also wonder why logs rotate at a specific size cap and if compressing them could work as a solution. Lastly, it’s important to note that deleted old files are unrecoverable unless there's a backup.", "thinkingSignature": "{\"id\":\"rs_0a9e4511c6d55ec0016a24855a53c081919ac4830e6741f14e\",\"type\":\"reasoning\",\"content\":[],\"encrypted_content\":\"gAAAAABqJIVeuK0jkR-vlN6W1pzhOx9a-aR_KYG8HlqHFhRc06hhx0FaeVoNCvUX9VYbFW18WCUUlHsRiuneB-PmAwQKrYFhjQgvBBzgYpvwAKU_1r3-Gx8oDbojLvOkwddPvIlcwI0xsGHh_1EwRKY9Amyjb87Q2PpoBHe5MtDla-_sPS_dPsYmTlyK0CPOdX61VxDojYRdeBkVzodEoPZxv4-zhGVDbOUROOBcOZsBaGKnuE16JjADREEHKwjEk0b0YvDtl2GYq0JwvnbTvGhyAO_RAzxM6L8U0On7NOy7cUGgfKmZS8lHq9WBA9zSEUWQUhPjCHNePbdfELI2fc8tluNQSm22y5IBG53h4Be8J3PgxlV_XBhzjFe5hgr52jC-XpoxNPr9MDgVAlttgZcuVJ19MbP_PPeUo0KeqhnBZUWtVjw5vZx3Q94Ax6KqOMynvi-_O1QSZ3Q9Dn3EnpOd16uy1Dqhgs2GPGYPK-Enn89O6ejk5tHZOZuFcoESJU163100zUEW86rSIKT6iyyep5xEZj_5tWsEkSABtcSTsW4Vp_9wRRHXlE-Sz27vBfPqZb3qTZIuLVCNDBUI_oT2AN1vufFlAfQ8N45B_9s2iA1EKIa3TRN1TabOUG27mtAgSEQIsQnA3naOfaGXV5GOUMu6CX0lSq85arWypTCTM-Lup3o4bj5AbtIWHQvo9yB9qbASs7EsO5rxRwe-2LNK0RbhHmpy3PIqDifC4NcX9TIjO2B7QWQXiQn87zPynXn5PkqyaJbKVC9wPbH-rkgX2gF66CbnWdqIZXVGVJu6a6_MXAIJCwXgU9lSnhUxGn8rkNK51SwyzgEEVBcEZiRsgWz4OMvNg4YzyyzWODn3WAnGxLkMDYfVi6iam844CXHntrKmJ8kjluCMb_16dlPcPePUxbjK2YK_kCMDU1A5WbA8p1Lj8G-6XzMcs3Gcdi2kRGKFlwh3UJoCCmn7-RAfnxmt8nLijGBWfSrdYhh1txJFch8NBrbdlfZ6CqE0TkU8YW70gY7kYRuvXjPISdqa2hmqphvaQCBQlQBw82V5tgsIZ8PjN4noYlEc7HXhUPXPGZ0OnK21GvOU04_SyjTk3cbXld2i2CL8bL48aiEiVAXtGjJU4CualpIwWNXXqmyCfoJptnr6miJeP15NO0vgCtl9sg9SeeKgDm387fVCJKCRjVNgRBQS9buJV_BI8fIAgUnNuy_IjUAgg-ogKiZ2o9400Cvfep5-cQnmJl4VuugMGjmC1_PuvFpe5Auq1DY6kU2H5Snbajxc8zBHtZkR7ibR2_p3RWVTe0KXZjUHFFpgg22Vc70jA8Uz8QvZ69sCx7uENpFi9oJiR2zprj3Wj641ME9wHvBTvWwTlttHKt-ZHGTpdziANJ0pUwwCdvziVGYJbOGwlYD2k9qVt3C8R93x3HFg0RyU2-tB9AYLkQ7ZF1Syx_kUrL8KZ9g_Rzl3IVWUjCGLIlqarKUEBKTWQfs6-RgQo2qe3NE8V7GN6N6Tv9Ul3EuzYhshWHsos13iSvkzjKm1X4WXitbBqEABPid3c1-nO0NLDYdGrILXMYHTTtXS1SR_RPakcUU9Pmu1sQhcV8fjbANp0uxHQDGVE54zTvV5hTRB6RFqJPTyZ9zEEqNm2M3EhkagFf5YkFBW80wRPdN7pqoUkjpP8oRkVbQG83vFJnGCWoSxU4n3E3GltT5N9Uk=\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Addressing log recovery issues**\\n\\nI’m considering how to mention that recovery from rotated logs is impossible without backups. I should inspect the summary to see if there are older buckets available, maybe only for the last 14 days due to the tail. It might be helpful to check if inventory logs contain the first seen metadata. I also wonder why logs rotate at a specific size cap and if compressing them could work as a solution. Lastly, it’s important to note that deleted old files are unrecoverable unless there's a backup.\"}]}" }, { "type": "toolCall", "id": "call_VOzu38XSN3Yj10Nk6p6M30Je|fc_0a9e4511c6d55ec0016a24855e2f2c819187636c3895ab4cfb", "name": "todo", "arguments": { "action": "update", "id": 3, "status": "completed" } } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 477, "output": 144, "cacheRead": 27136, "cacheWrite": 0, "totalTokens": 27757, "cost": { "input": 0.0011925000000000002, "output": 0.00216, "cacheRead": 0.006784, "cacheWrite": 0, "total": 0.0101365 } }, "stopReason": "toolUse", "timestamp": 1780778329443, "responseId": "resp_0a9e4511c6d55ec0016a24855986b4819190b6e7982d6f1012" } }, { "type": "message", "id": "1c281ee5", "parentId": "0076e3df", "timestamp": "2026-06-06T20:39:05.356Z", "message": { "role": "assistant", "content": [ { "type": "text", "text": "Sí. Ya los nombré:\n\n- `ae:54:7d:48:70:dc`\n → `pili cassani ?`\n- `16:a3:ee:79:d7:8f`\n → `juan cassani`\n- `92:1e:fe:36:21:42`\n → `benja cassani o dahi, android?`\n\nSobre lo rotado:\n\n- si esos archivos viejos ya fueron borrados,\n no desde acá, no se recuperan\n- sólo sería posible si existen:\n backup, snapshot, copia manual,\n o recuperación forense del FS\n y no vale la pena en este caso\n\nPor qué rotamos:\n- el collector tiene esto:\n - `ROTATE_MAX_BYTES = 4 MB`\n - `ROTATE_KEEP = 5`\n- o sea:\n `activity.jsonl` llega a 4 MB,\n se renombra,\n y sólo quedan 5 rotados + actual\n\nEntonces el motivo sí:\n- espacio / acotar crecimiento\n- también velocidad:\n el summary lee una cola,\n no historial infinito\n\nSe puede comprimir mejor:\n- sí, totalmente\n- hoy estamos guardando crudo JSONL,\n que es cómodo pero ineficiente\n\nMejoras razonables:\n1. gzip de rotados\n - mismo dato\n - mucho menos espacio\n - probablemente 5x a 10x menos\n\n2. subir `ROTATE_KEEP`\n - con gzip podrías guardar\n meses, no días\n\n3. guardar resumen diario aparte\n - sesiones por dispositivo/día\n - eso ocupa poquísimo\n - y preserva historia útil\n - aunque borres el crudo\n\n4. bajar verbosidad del crudo\n - hoy se loguea mucho snapshot\n - se podría guardar:\n sólo cambios + heartbeat más chico\n\nMi lectura:\n- el sistema actual está bien para\n “qué pasó hace poco”\n- está mal para histórico real\n- conviene:\n crudo corto + comprimido\n y agregado diario permanente\n\nSi querés, hago el cambio para que:\n- no pierda historial\n- conserve 2 a 6 meses\n- y siga liviano\n\n", "textSignature": "{\"v\":1,\"id\":\"msg_0a9e4511c6d55ec0016a24856022d08191bcfe85dc808045e3\",\"phase\":\"final_answer\"}" } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 639, "output": 508, "cacheRead": 27136, "cacheWrite": 0, "totalTokens": 28283, "cost": { "input": 0.0015975000000000002, "output": 0.00762, "cacheRead": 0.006784, "cacheWrite": 0, "total": 0.016001500000000002 } }, "stopReason": "stop", "timestamp": 1780778334380, "responseId": "resp_0a9e4511c6d55ec0016a24855e73288191971dd8103261efe6" } } ], "user_messages": 3, "assistant_messages": 22, "last_user_text": "[telegram] nombra ae:54:7d:48:70:dc \"pili cassani ?\" 16:a3:ee:79:d7:8f \"juan cassani\" 92:1e:fe:36:21:42 \"benja cassani o dahi, android?\" los datos rotados no se pueden recuperar? y por que rotamos? si es por espacio no se puede comprimir la informacion?", "last_assistant_text": "Sí. Ya los nombré: - `ae:54:7d:48:70:dc` → `pili cassani ?` - `16:a3:ee:79:d7:8f` → `juan cassani` - `92:1e:fe:36:21:42` → `benja cassani o dahi, android?` Sobre lo rotado: - si esos archivos viejos ya fueron borrados, no desde acá, no se recuperan - sólo sería posible si existen: backup, snapshot, copia manual, o recuperación forense del FS y no vale la pena en este caso Por qué rotamos: - el collector tiene esto: - `ROTATE_MAX_BYTES = 4 MB` - `ROTATE_KEEP = 5` - o sea: `activity.jsonl` llega a 4 MB, se renombra, y sólo quedan 5 rotados + actual Entonces el motivo sí: - espacio / acotar crecimiento - también velocidad: el summary lee una cola, no historial infinito Se puede comprimir mejor: - sí, totalmente - hoy estamos guardando crudo JSONL, que es cómodo pero ineficiente Mejoras razonables: 1. gzip de rotados - mismo dato - mucho menos espacio - probablemente 5x a 10x menos 2. subir `ROTATE_KEEP` - con gzip podrías guardar meses, no días 3. guardar resumen diario aparte - sesiones por dispositivo/día - eso ocupa poquísimo - y preserva historia útil - aunque borres el crudo 4. bajar verbosidad del crudo - hoy se loguea mucho snapshot - se podría guardar: sólo cambios + heartbeat más chico Mi lectura: - el sistema actual está bien para “qué pasó hace poco” - está mal para histórico real - conviene: crudo corto + comprimido y agregado diario permanente Si querés, hago el cambio para que: - no pierda historial - conserve 2 a 6 meses - y siga liviano ", "first_user_text": "[telegram] me decis la actividad de las ultimas 4 semanas basadas en el wifi tracker?" }, "analysis": { "status": "completed", "save": false, "saved": false, "memory_id": null, "memory_ids": [], "saved_count": 0, "raw": "{\"memories\": [{\"type\": \"episode\", \"subtype\": \"session_summary\", \"scope\": \"global\", \"title\": \"sebas: [telegram] me decis la actividad de las ultimas 4 semanas basadas en el…\", \"content\": \"User asked: [telegram] me decis la actividad de las ultimas 4 semanas basadas en el wifi tracker?\\nResult: Sí. Ya los nombré: - `ae:54:7d:48:70:dc` → `pili cassani ?` - `16:a3:ee:79:d7:8f` → `juan cassani` - `92:1e:fe:36:21:42` → `benja cassani o dahi, android?` Sobre lo rotado: - si esos archivos viejos ya fueron borrados, no desde acá, no se recuperan - sólo sería posible si existen: backup, snapshot, copia manual, o recuperación forense del FS y no vale la pena en este caso Por qué rotamos: - el collector tiene esto: - `ROTATE_MAX_BYTES = 4 MB` - `ROTATE_KEEP = 5` - o sea: `activity.jsonl` llega a 4 MB, se renombra, y sólo quedan 5 rotados + actual Entonces el motivo sí: - espacio / acotar crecimiento - también velocidad: el summary lee una cola, no historial infinito Se puede comprimir mejor: - sí, totalmente - hoy estamos guardando crudo JSONL, que es cómodo pero ineficiente Mejoras razonables: 1. gzip de rotados - mismo dato - mucho menos espacio - probablemente 5x a 10x menos 2. subir `ROTATE_KEEP` - con gzip podrías guardar meses, no días 3. guardar resumen diario aparte - sesiones por dispositivo/día - eso ocupa poquísimo - y preserva historia útil - aunque borres el crudo 4. bajar verbosidad del crudo - hoy se loguea mucho snapshot - se podría guardar: sólo cambios + heartbeat más chico Mi lectura: - el sistema actual está bien para “qué pasó hace poco” - está mal para histórico real - conviene: crudo corto + comprimido y agregado diario permanente Si querés, hago el cambio para que: - no pierda historial - conserve 2 a 6 meses - y siga liviano \", \"source_ref\": \"session:019e9ea0-a985-7c07-aa56-d868724ade42\", \"evidence_ref\": \"/home/sebas/pi-config/sessions/--home-sebas--/2026-06-06T20-29-49-829Z_019e9ea0-a985-7c07-aa56-d868724ade42.jsonl\", \"confidence\": 0.72, \"freshness\": 0.95, \"importance\": 0.56, \"reason\": \"Deterministic fallback because model analysis was unavailable: Warning: No models match pattern \\\"gemini-3-flash-preview:minimal\\\"\\nWarning: No models match pattern \\\"gemini-3-flash-preview:medium\\\"\\nWarning: No models match pattern \\\"claude-3-7-sonnet:low\\\"\\nWarning: No models match pattern \\\"claude-3-7-sonnet:medium\\\"\\nWarning: No models match pattern \\\"claude-3-7-sonnet:high\\\"\\nWarning: No models match pattern \\\"o3-mini:low\\\"\\nWarning: No models match pattern \\\"o3-mini:medium\\\"\\nWarning: No models match pattern \\\"o3-mini:high\\\"\\nWarning: No models match pattern \\\"minimax-m2.5-free:minimal\\\"\\nWarning: No models match pattern \\\"qwen/qwen3-coder:free:minimal\\\"\\nWarning: No models match pattern \\\"google/gemma-3-27b-it:free:minimal\\\"\\nNo API key for provider: openai-codex\"}], \"reason\": \"fallback-analysis:Warning: No models match pattern \\\"gemini-3-flash-preview:minimal\\\"\\nWarning: No models match pattern \\\"gemini-3-flash-preview:medium\\\"\\nWarning: No models match pattern \\\"claude-3-7-sonnet:low\\\"\\nWarning: No models match pattern \\\"claude-3-7-sonnet:medium\\\"\\nWarning: No models match pattern \\\"claude-3-7-sonnet:high\\\"\\nWarning: No models match pattern \\\"o3-mini:low\\\"\\nWarning: No models match pattern \\\"o3-mini:medium\\\"\\nWarning: No models match pattern \\\"o3-mini:high\\\"\\nWarning: No models match pattern \\\"minimax-m2.5-free:minimal\\\"\\nWarning: No models match pattern \\\"qwen/qwen3-coder:free:minimal\\\"\\nWarning: No models match pattern \\\"google/gemma-3-27b-it:free:minimal\\\"\\nNo API key for provider: openai-codex\"}", "result": { "memories": [ { "type": "episode", "subtype": "session_summary", "scope": "global", "title": "sebas: [telegram] me decis la actividad de las ultimas 4 semanas basadas en el…", "content": "User asked: [telegram] me decis la actividad de las ultimas 4 semanas basadas en el wifi tracker?\nResult: Sí. Ya los nombré: - `ae:54:7d:48:70:dc` → `pili cassani ?` - `16:a3:ee:79:d7:8f` → `juan cassani` - `92:1e:fe:36:21:42` → `benja cassani o dahi, android?` Sobre lo rotado: - si esos archivos viejos ya fueron borrados, no desde acá, no se recuperan - sólo sería posible si existen: backup, snapshot, copia manual, o recuperación forense del FS y no vale la pena en este caso Por qué rotamos: - el collector tiene esto: - `ROTATE_MAX_BYTES = 4 MB` - `ROTATE_KEEP = 5` - o sea: `activity.jsonl` llega a 4 MB, se renombra, y sólo quedan 5 rotados + actual Entonces el motivo sí: - espacio / acotar crecimiento - también velocidad: el summary lee una cola, no historial infinito Se puede comprimir mejor: - sí, totalmente - hoy estamos guardando crudo JSONL, que es cómodo pero ineficiente Mejoras razonables: 1. gzip de rotados - mismo dato - mucho menos espacio - probablemente 5x a 10x menos 2. subir `ROTATE_KEEP` - con gzip podrías guardar meses, no días 3. guardar resumen diario aparte - sesiones por dispositivo/día - eso ocupa poquísimo - y preserva historia útil - aunque borres el crudo 4. bajar verbosidad del crudo - hoy se loguea mucho snapshot - se podría guardar: sólo cambios + heartbeat más chico Mi lectura: - el sistema actual está bien para “qué pasó hace poco” - está mal para histórico real - conviene: crudo corto + comprimido y agregado diario permanente Si querés, hago el cambio para que: - no pierda historial - conserve 2 a 6 meses - y siga liviano ", "source_ref": "session:019e9ea0-a985-7c07-aa56-d868724ade42", "evidence_ref": "/home/sebas/pi-config/sessions/--home-sebas--/2026-06-06T20-29-49-829Z_019e9ea0-a985-7c07-aa56-d868724ade42.jsonl", "confidence": 0.72, "freshness": 0.95, "importance": 0.56, "reason": "Deterministic fallback because model analysis was unavailable: Warning: No models match pattern \"gemini-3-flash-preview:minimal\"\nWarning: No models match pattern \"gemini-3-flash-preview:medium\"\nWarning: No models match pattern \"claude-3-7-sonnet:low\"\nWarning: No models match pattern \"claude-3-7-sonnet:medium\"\nWarning: No models match pattern \"claude-3-7-sonnet:high\"\nWarning: No models match pattern \"o3-mini:low\"\nWarning: No models match pattern \"o3-mini:medium\"\nWarning: No models match pattern \"o3-mini:high\"\nWarning: No models match pattern \"minimax-m2.5-free:minimal\"\nWarning: No models match pattern \"qwen/qwen3-coder:free:minimal\"\nWarning: No models match pattern \"google/gemma-3-27b-it:free:minimal\"\nNo API key for provider: openai-codex" } ], "reason": "fallback-analysis:Warning: No models match pattern \"gemini-3-flash-preview:minimal\"\nWarning: No models match pattern \"gemini-3-flash-preview:medium\"\nWarning: No models match pattern \"claude-3-7-sonnet:low\"\nWarning: No models match pattern \"claude-3-7-sonnet:medium\"\nWarning: No models match pattern \"claude-3-7-sonnet:high\"\nWarning: No models match pattern \"o3-mini:low\"\nWarning: No models match pattern \"o3-mini:medium\"\nWarning: No models match pattern \"o3-mini:high\"\nWarning: No models match pattern \"minimax-m2.5-free:minimal\"\nWarning: No models match pattern \"qwen/qwen3-coder:free:minimal\"\nWarning: No models match pattern \"google/gemma-3-27b-it:free:minimal\"\nNo API key for provider: openai-codex" }, "fallback_error": "Warning: No models match pattern \"gemini-3-flash-preview:minimal\"\nWarning: No models match pattern \"gemini-3-flash-preview:medium\"\nWarning: No models match pattern \"claude-3-7-sonnet:low\"\nWarning: No models match pattern \"claude-3-7-sonnet:medium\"\nWarning: No models match pattern \"claude-3-7-sonnet:high\"\nWarning: No models match pattern \"o3-mini:low\"\nWarning: No models match pattern \"o3-mini:medium\"\nWarning: No models match pattern \"o3-mini:high\"\nWarning: No models match pattern \"minimax-m2.5-free:minimal\"\nWarning: No models match pattern \"qwen/qwen3-coder:free:minimal\"\nWarning: No models match pattern \"google/gemma-3-27b-it:free:minimal\"\nNo API key for provider: openai-codex" } }