{
  "job_id": "20260505T143201664755Z",
  "queued_at": "2026-05-05T14:32:01.664814+00:00",
  "status": "queued",
  "job_type": "session_memory_analysis",
  "payload": {
    "session_id": "999aa631",
    "session_file": "/mnt/rpi/pi-config/sessions/--home-sebas--/2026-05-04T21-17-14-403Z_019df4da-3522-776c-986b-78e057101a55.jsonl",
    "reason": "before_switch:resume",
    "cwd": "/home/sebas",
    "scope": "global",
    "user_messages": 4,
    "assistant_messages": 15,
    "last_user_text": "we were updating linux, can you move some things to /mnt/rpi to make space?",
    "last_assistant_text": "Yes. Moved safe big paths off root and symlinked them back. Space now: - root `/`: `88%` used - free: `1.6G` - before: `494M` free Moved to `/mnt/rpi`: - `~/go` → `/mnt/rpi/home-cache/go` - `~/.bun` → `/mnt/rpi/home-cache/.bun` - `~/.zed_server` → `/mnt/rpi/home-cache/.zed_server` - `~/venvs` → `/mnt/rpi/home-cache/venvs` - `~/downloads` → `/mnt/rpi/home-cache/downloads` - `~/.pnpm-store` → `/mnt/rpi/.pnpm-store` Biggest wins: - `~/go` `721M` - `~/.pnpm-store` `668M` - `~/.bun` `142M` I did not touch `~/.local/share/zed` (`1.5G`). More risky while Zed-related processes exist. If you want, next I can: 1. check if Linux update can run now 2. free more by moving `~/.local/share/zed` too 3. clean apt/cache space instead of moving more user data",
    "branch": [
      {
        "type": "model_change",
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        "timestamp": "2026-05-04T21:17:15.645Z",
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        "type": "thinking_level_change",
        "id": "08c69fcd",
        "parentId": "63456998",
        "timestamp": "2026-05-04T21:17:15.645Z",
        "thinkingLevel": "low"
      },
      {
        "type": "message",
        "id": "653400fb",
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        "timestamp": "2026-05-04T21:17:26.523Z",
        "message": {
          "role": "user",
          "content": [
            {
              "type": "text",
              "text": "clear /tmp"
            }
          ],
          "timestamp": 1777929446512
        }
      },
      {
        "type": "message",
        "id": "e5be1b7c",
        "parentId": "653400fb",
        "timestamp": "2026-05-04T21:17:31.633Z",
        "message": {
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          "content": [
            {
              "type": "thinking",
              "thinking": "",
              "thinkingSignature": "{\"id\":\"rs_0056cf023ec1dd460169f90ce795a08194a05817ceb2900b14\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-QzqgCYuZTGWmhuU6uKndaA2_n4dDnRlEd1qw4eMDQzNQOLdR-kD9n3iDX1IxCkhqpXBCj89vi3LXDJ6uLzuxQ0r1qS-a1Gg56LemAaHl0ynpv3ot6FWId3-MIqyap-dzE3kMhnvnjIGfCM3oznwvEQeSihzv9LyEUV4D9IwHqnXitK6O7H2u43u0zPRUUkrAk1w9AdAL1_1qpgISZks7aV-6BTVIjg9gDT3wIyOdeT-5ocXjFAuEs1iFwKz94xiNRrwAad2csoHk_YBPm2kwO_8dC3UW87aQ1gc19415UH2sUOviFtBsttFnTlikfpeavH6WXoPUG24m7CBg8R-bJ72ix3UAN94_ZIzvscTfYmKKgOxToqaVXSPhjEa-b8dBkRZ_ylng-v9mvRtDoTmXZ8nKi3BD1lxPexDbd4vipz6X3XAbi7adnJ8DLa_cBRex02lurTWsUh1pYoZhSTSDEUDNLlFiYFUVuhvUgPihm4jkJBqXIjPrXZNKEXqj9NeW3af4ntxIdUAvt593gf-kIhp5cUyob8sKFv_uDuoCt8rZkVaci-8b4CDpp_nAFvBCNK-T0T9GV5VO-sGVvYjRasvkJ2G3dae2B4IwCp_eAqN8dJT9n56yPak8Xs-aoPUvK_AnKmkbSTP4B7rV7mXIn9Ovdyg-gEq4HtiI8Bw_qhLVogzSzYiua-BWpclFto13jve5xrU8dipI451BoEt4JhT6GgBY09BlQK0MCZiLX2tuw_x5mDVDuaeOh2lPst3X1TKUOZyx7Z1rNN2BetXGoM6_584a01ipkts9afuHCvFGgVgQAJxXvH019-lSodJnso0NiJSaMGb2uJ6C2uu4VxnMVNIQxwhFi_Kml_AVC7NPARF-mjyN4Wc2A2r1ugQnDryVbcRSqirvXnc2KYG5vTp0E-Z-PMnbFz9fuhFCoQRM1ZmA-vGORF3D3O-PmVJ3lw91uNryZ0T4llLxqfy18MFKPHLjJGCxtRO4R3XCEdWqUJdCBM2OaEXLXdyGfzI_LBqWn2Y1yrI3l4FiuZ2I78OgG-veI9ja1cnM9kAAFmRn1EHu_Uf3xqQ60VXUmw2f3P_9gPCuWRTSilNlkk9IdEPUYwRb5UZ7wPXjbfaM6EcDY3sawZ9JWvFZHmAcoi7Ao4PK9nGb22SpEzcMzQ9zoguvgJJtQS5gyU5tKjOPx0MLn45PHiTXp_HDmU4YIo0oQeNiLtRfFNO3xbIpb1gT8l1ELhVhvmdz-VvfOHUS1haoymok2yF5IWg59sxbOlzHqSKeNRi30fLBfwgnoeddLyzYSrNk8EYechvcbLxO1_iLhODVJsJCsaQwstBxbrzVhn3tNsS55T4rg0QjmsK-H8ho2YDsXiWHfx2iLu-9jJ6WyrLSKmuRAj3WFUdPIFgLuB_xaLO-kqLGVkFJyHlc5a5OxoCpREjsVQaIo2bt2sdpo2-Hucrr2jtcbBNmZh5FEuvomvEHz3XbC08FCUkqNgHNZ4K-eKsB7WwhtLGxvPBq9oCAm5eJTrfHklyftTvpoWkoNtW3CeKd3OkEbz7omMGrVimAZJwcnEp_5CFce_qTNZoPSRLTj4hrlkPxzV68P6qxKY4NywWWgHbYTmMvq0QWuwZlNkrMSyWxcZe0_ddo7Dsp8xM0N0vC_hD48D8UcXP6r8GOm2IkSy-b7mZoVDpFQuSevtweYG3OKbZQ_3d2Mw=\",\"summary\":[]}"
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              "type": "text",
              "text": "Need scope. Full `/tmp` wipe is risky on this machine.\n\nPick one:\n1. Safe: delete top-level files older than 3 days with `bin/tmp-cleanup`\n2. Aggressive: delete only my obvious temp artifacts\n3. Full wipe: remove almost everything in `/tmp` except protected system dirs/files\n\nSay `1`, `2`, or `3`.",
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        "id": "f2d668e7",
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        "timestamp": "2026-05-04T21:17:42.037Z",
        "message": {
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              "type": "text",
              "text": "1"
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          "timestamp": 1777929462028
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        "timestamp": "2026-05-04T21:17:45.652Z",
        "message": {
          "role": "assistant",
          "content": [
            {
              "type": "thinking",
              "thinking": "**Considering the command execution**\n\nI need to run a command, and I'm thinking maybe I can use a to-do approach for organization. But then again, does it seem trivial? I'm not quite sure about this yet. I should just go ahead and execute the command now, rather than overthinking it. I want to make sure I'm efficient and effective with this task, so I'll keep it simple and get it done!",
              "thinkingSignature": "{\"id\":\"rs_0056cf023ec1dd460169f90cf6dd34819491003340ddc17f41\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-Qz5Wo7tI1hMyWQOAeEcUIThT8XIxXq1Pzsp-nOynfih2aO4DJ8ojXr5t7YXidSH8yQllkNOWT3-C1G7mZqzESJMVsHQxkaJCMsyml5shugGWna4ioFpbIloplGkPdH4lqoNsAtJhOzL6kydEdEyY1NGDVGNCEb1BPGMNJ7cLtcmY4lM_eLmxF9e2FYdqMTO_WHldQGhxIuDiGkIiP9yxfGkX_zN3mk_r3mwtPF5QibImhGBC5HTc7Wwy-TTPJYn4Wgryls5UeEiMlq7p0c_JzEJbBb0NadjRsg8wCnNjnPK46bWm8cCOJ_CFBNw-_2boiLroR4xVOd4oSnaEU21QBhHe_PiwmGBkRYRrF_FA27tXoJ-oI4Kf-LfSM2T4LMq9ngXJTUuw47hEOOyKqKhGiIoL0hXtiwVD9b_w9XGUcfDPp0nA4rRifdT82PvtpToGtZqHMJ3gZ-1LRoJI-rNiSniT2W778l4Vuu_UltgJb903DWkMlV3kv8HJ-UU8wSBnM3GGUIXDSppefkZlI9svD7rw-U_W5vQ8xlESdBqNf1xXMScoPdlqRPGfTEgmBXoAttaRSShZa2RnR9uGVxDG0ZtW0UgyDeUfkMD2teAMMs966GCybdTUP-2aZ49v-E4NyJPiU67qjolwBTWql66Dk5rI_3uAjZcVY6jkgBp6C4BB8d1h0hf64GwjIAboRlz4Ei88DTMuEvuto8Eol_C15U_pfnHsuR-_T_aCjkusGMZ94fIyEzQ2ix9NyzZ6Ds2WgOceYdapKHyqhyW2I0RvmhnfjyA6Rhd7D_-4x3cKdVnYLxRtxuqfZaDFUwrZXXU8c6TY8pqSANvqe6DA6pvXwiJRYLBYZqjV2yaxuXiezJJNjCAWpaym_JMCjV1gMHkA8vnHeFXJ5CmfNkyO1zdHl7XASTv7G-wedcMH4Ek41r6IDWpTQwhBJc4JyesTgr_0tmyibFqwCr0oayIoZr5oz__g3WexuqWFyDgQsunUuDhIf4=\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Considering the command execution**\\n\\nI need to run a command, and I'm thinking maybe I can use a to-do approach for organization. But then again, does it seem trivial? I'm not quite sure about this yet. I should just go ahead and execute the command now, rather than overthinking it. I want to make sure I'm efficient and effective with this task, so I'll keep it simple and get it done!\"}]}"
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        "type": "message",
        "id": "0b14fc90",
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        "timestamp": "2026-05-04T21:17:45.675Z",
        "message": {
          "role": "toolResult",
          "toolCallId": "call_SeIrySeAEsmTqlqxyrZ1UeIU|fc_0056cf023ec1dd460169f90cf96098819495da07df065dfd1b",
          "toolName": "bash",
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            {
              "type": "text",
              "text": "policy dir=/tmp older_than=3d matched=0 deleted=0\n"
            }
          ],
          "isError": false,
          "timestamp": 1777929465674
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      },
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        "type": "message",
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        "message": {
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            {
              "type": "text",
              "text": "Done.\n\n`bin/tmp-cleanup` run:\n- matched: 0\n- deleted: 0\n\n`/tmp` had no top-level files older than 3 days.",
              "textSignature": "{\"v\":1,\"id\":\"msg_0056cf023ec1dd460169f90cfb42288194ac61e0fc82ce751c\",\"phase\":\"final_answer\"}"
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        "timestamp": "2026-05-04T21:17:59.993Z",
        "message": {
          "role": "user",
          "content": [
            {
              "type": "text",
              "text": "is ~ full?"
            }
          ],
          "timestamp": 1777929479986
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      },
      {
        "type": "message",
        "id": "99af0731",
        "parentId": "2384e469",
        "timestamp": "2026-05-04T21:18:06.763Z",
        "message": {
          "role": "assistant",
          "content": [
            {
              "type": "thinking",
              "thinking": "**Checking disk usage**\n\nI need to figure out the disk space on my system. I could check by using commands like \"du\" and \"df.\" But wait, I'm not entirely sure whether the user is asking about filesystem usage or just directory usage specifically. It might be beneficial to clarify that first. However, it seems executing those commands directly would give a useful answer, so let's move forward with that!",
              "thinkingSignature": "{\"id\":\"rs_0056cf023ec1dd460169f90d095ab8819483a5e9cec9517c77\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-Q0Nhyf4oueUawKtuTvkgRrAzjQgYiGOp5XzdTBgoM89eM1pWS5v5KAJ90mindPnbfRQFjPhQmBx_A1T34VK-dtAdSylECwc0QKY2zSV5x3yw2OIQ89rgIB9NHMIOtGdq1_O7bL5k7CUkLfOQ8NnJiPgVZI963tU18G96C_8s7FZ1hx-9z85O6qJ0jAjqoSTfdCgOCZHYG0bG2DOm4WIGSHPWJiojGaz1DqEBdnJRenXxHXk-5CuV_iisTks3IJXj1lHA-sGjs-1nJONzdrbR6QRAKfpCuqAMd4NndGtBTRpuzv57fre-2AivGzqkrAwlEBxazsDNOAVl4bZARQAsybDresKXWk2Wvv_22V4YsRlP4McLL6fglmd90t8FmqqIlqk3Yl436ITIl5h7ZUz_p2K0aPQCWYTJToeNjd1KgsdwEnh2sy1Nvqltc2_50NL5HzUkKxYWo84FFJ-dpCEePpxb-n0yEL0hiuy07sszTfFwH4y8bmT6PcaqeAyXYhRwQnZTjgqKG10cpuCMZX83uR38HgG0m2xEqDLGGGRRhmqrlAElUiAHCGhlkmLNWH9iid4pLpptPntgDzpRqybJ4_zb3SwdZqZUJShQmsM6EyacBGGblVtDirsVJX1qtC3srto0n77ksGjSIInDjJJXOwCvl_uEWi4hlWgpwNWOt7x5SJb3sS7NbbbedP0Z_QcqJu1uMZ1iGXfjhG66nrzHhUdhWOwirrBuSR76gyQBi0WlIQQSblfnqw7werEo_PMGRPEz3Y0k1NxC-EVUVtPk7GLGJ_x_43Bu2z3HoedfXOAtoeBPsA-Gk9H_Ru5U0qrYGd_UBEPnkgu1QqWJOpLH_0H6HD9URo89YP1RUJMt3ML2PzsgFT_nHqAhOSFneERZVxLqpZJ7iqJXgmIWzFgbnq7m5_zdo9P-SitCekSf4eups8mAb_h_UJIQAU9vm7LsSkOt1Lg92svsIbWHU2L45webE6O-7cCg0FiY8cVswUZbxXz4RTsDeUIdg2EObtUao7OxucEXOPzOqW3OvqMyeBndwKMSB6iCNNnhryMfi_3qZc_PP8mYu4VEyuPd2Ae2g8f\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Checking disk usage**\\n\\nI need to figure out the disk space on my system. I could check by using commands like \\\"du\\\" and \\\"df.\\\" But wait, I'm not entirely sure whether the user is asking about filesystem usage or just directory usage specifically. It might be beneficial to clarify that first. However, it seems executing those commands directly would give a useful answer, so let's move forward with that!\"}]}"
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            {
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[877 more lines in file. Use offset=261 to continue.]


{
  "job_id": "20260505T134438583726Z",
  "queued_at": "2026-05-05T13:44:38.583785+00:00",
  "status": "queued",
  "job_type": "session_memory_analysis",
  "payload": {
    "session_id": "bf3e179b",
    "session_file": "/mnt/rpi/pi-config/sessions/--home-sebas--/2026-05-05T13-38-23-930Z_019df85c-7c39-73e8-aa53-3b548239898e.jsonl",
    "reason": "before_switch:new",
    "cwd": "/home/sebas",
    "scope": "global",
    "user_messages": 5,
    "assistant_messages": 9,
    "last_user_text": "apply yourself, do outside this session as it will shut down when running restart",
    "last_assistant_text": "Done. Applied on server: - `/etc/ssh/sshd_config.d/99-idle-4h.conf` - `ClientAliveInterval 60` - `ClientAliveCountMax 240` Restarted SSH. Verified active: - `clientaliveinterval 60` - `clientalivecountmax 240` Effect: - server keeps idle SSH sessions alive - drops only after ~4h with no client reply Note: - this helps all clients to this server - if a phone/laptop network kills idle TCP itself, client keepalives may still be needed there too",
    "branch": [
      {
        "type": "model_change",
        "id": "f5efe289",
        "parentId": null,
        "timestamp": "2026-05-05T13:38:28.723Z",
        "provider": "openai-codex",
        "modelId": "gpt-5.4"
      },
      {
        "type": "thinking_level_change",
        "id": "dbf4bcb7",
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        "timestamp": "2026-05-05T13:38:28.724Z",
        "thinkingLevel": "low"
      },
      {
        "type": "message",
        "id": "c1cf3a38",
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        "timestamp": "2026-05-05T13:38:45.032Z",
        "message": {
          "role": "user",
          "content": [
            {
              "type": "text",
              "text": "why can it be ssh session cuts off if inactive for ~30min?"
            }
          ],
          "timestamp": 1777988325013
        }
      },
      {
        "type": "message",
        "id": "eaf993f9",
        "parentId": "c1cf3a38",
        "timestamp": "2026-05-05T13:38:53.267Z",
        "message": {
          "role": "assistant",
          "content": [
            {
              "type": "thinking",
              "thinking": "",
              "thinkingSignature": "{\"id\":\"rs_058f3b86ab5e4f940169f9f2e6f9508190b45f0dea53a45273\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-fLnA3Gb4bA7_soL42dxK_-xYULA2TricufyzRoRxZBicdS0yWVx4REbh9Q7hfLUF-vHxUJV0HE6OvLmIeUQ0MtnpAZ3t0wS26ilAEBRQogn0geZPhDOsR1sAZkA0LIPLA7JLLS6JLFJP3Y7_qwauQW6dlHp8mUrPCZuyjzv0rzB7I_mfawv3rCXi9rK9JxRVIHKjX0LaREuEFc7LByRAfzBUUiENL4PKwzDHOvDRNb5eETm2I734u2v5t6JBUM2FPPt6Z0zVN47wMysiLbVKK4ZnC-fU3qMbe4eivdDOTw5yDEg4aA7Xg8J_qXYLq0PTeEMx2Egk0HfX6282J_RrBHfTw6jSPBhmbuh5eCEJKaq9394bfljGXIlUpnoGGd52W0HI-T9TkDrzxAH0bdDvL1MkIW2Ja8XSsY4uFOIP9BE-n7gfhSydTqCNysAXwGybI9cWOrPeljEb9iCjgl2tlRNgahmgBLR4j3W1esHoIYvK8tTCPFcZOzlsyTIH5CBsprFhVM3Yf7wBr07N9WfC0T2C4wqqWsNq3A1kCAembpFuiGTRGyXH7hvlf4wt-9mz6hW9gp5JGdS2naZeNA_boXqZMqK3P5mlU0dvm5hH8Td-LqH4-0a9YoiQOBvaumyeVLvTixGXfZhPOfbfi7DjgOsC0zgtfvAWIWuD4g-wij-E5ByevGSyGPyGBaKK0FSZPgIlMc7O0qpPX8VzJR-IZW2tRGB5erEAENxp7rEk3Cn8R3NssUozVld68Dvs5Yrn9Mr9IulqhkRlcmPoRBtMAtgBOJKPbrrYv6_J9L7_KX6lHar7FJ9CYCL0g9mJx6dgBWGDNMxWxV05V8ucOhFXMBg6PNFYk854e3gXnUH2yEji-_5fcQT_wMWk3gxJMBDtRrt0yxc3XMLZLIaxWUJE6ibiPbix49Rbl-4XJix4D83SGuByR95GyzmGzIbKZYsUULPkuqBxQEhiybfh_5R7TOT7A==\",\"summary\":[]}"
            },
            {
              "type": "text",
              "text": "Most common cause: an idle timeout somewhere in the path.\n\nUsual places:\n\n- SSH server\n  - `ClientAliveInterval`\n  - `ClientAliveCountMax`\n- SSH client\n  - `ServerAliveInterval`\n  - `ServerAliveCountMax`\n- Router / firewall / NAT\n  - drops idle TCP sessions after ~30 min\n- VPN / Tailscale / proxy layer\n  - less common, but can reset idle flows\n- Wi‑Fi sleep / laptop power save\n  - client quietly suspends network\n\nWhy “inactive” matters:\n- If no traffic crosses the connection, middleboxes may think session is dead and remove state.\n- Then next keystroke hits a dead TCP session and SSH disconnects.\n\nFast fix:\nOn client `~/.ssh/config`:\n```sshconfig\nHost *\n  ServerAliveInterval 60\n  ServerAliveCountMax 10\n```\n\nThis sends keepalives every 60s.\n\nServer-side fix in `/etc/ssh/sshd_config` if needed:\n```conf\nClientAliveInterval 60\nClientAliveCountMax 10\n```\n\nThen restart sshd.\n\nHow to check:\n- Client side:\n  ```bash\n  ssh -vv your-host\n  ```\n- Server config:\n  ```bash\n  sudo sshd -T | grep -i alive\n  ```\n- See if it is exactly near 30 min: that strongly points to NAT/firewall idle timeout.\n\nIf you want, I can help pinpoint whether it’s client, server, or network on your setup.",
              "textSignature": "{\"v\":1,\"id\":\"msg_058f3b86ab5e4f940169f9f2e778f88190bc49df99f8f5a35e\",\"phase\":\"final_answer\"}"
            }
          ],
          "api": "openai-codex-responses",
          "provider": "openai-codex",
          "model": "gpt-5.4",
          "usage": {
            "input": 3973,
            "output": 339,
            "cacheRead": 0,
            "cacheWrite": 0,
            "totalTokens": 4312,
            "cost": {
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              "total": 0.0150175
            }
          },
          "stopReason": "stop",
          "timestamp": 1777988325038,
          "responseId": "resp_058f3b86ab5e4f940169f9f2e5b1288190815a7ff9fcc9158a"
        }
      },
      {
        "type": "message",
        "id": "7fece525",
        "parentId": "eaf993f9",
        "timestamp": "2026-05-05T13:39:40.846Z",
        "message": {
          "role": "user",
          "content": [
            {
              "type": "text",
              "text": "help me extend to 4hs"
            }
          ],
          "timestamp": 1777988380840
        }
      },
      {
        "type": "message",
        "id": "8e6f9201",
        "parentId": "7fece525",
        "timestamp": "2026-05-05T13:39:47.382Z",
        "message": {
          "role": "assistant",
          "content": [
            {
              "type": "thinking",
              "thinking": "**Trying to clarify settings**\n\nI need to make sure I’m being concise in my answer. It might help to mention that \"4hs\" means 4 hours. I want to provide the exact settings required, so the user knows precisely what they need. It’s important to avoid any confusion or ambiguity here, as clear communication is key! I'll focus on outlining the essential details needed for their request.",
              "thinkingSignature": "{\"id\":\"rs_058f3b86ab5e4f940169f9f31daff48190aa1fb2a29500c22e\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-fMhzY0qpCIhh4GBC7EFFdCvh_1OJJ9huMntC3RX2M56hF3pXuxcTZ2MPUD_E7vyAocuQd7JBu8F0OU2W_GfGab1uqCfLf4k5GL6bkj8wpDojp8TtKKYa1zy7fkM7aO1HQc-zF4bM5ywuiLB4brgokTEJiCFZ-Bw1qiMrkRkXKuFM7mV8Kn_4ztvxM5duHIQi95v2Lky1uQiMI9zfo6s_Z6FbG6esZ2iCaO0tJOyaSPZswBmUX11X_FhYu_3NmTQHounCjezODsQi69XiDS_sW4NMXtA1BiGvsZeKjzV5sehgeVdR4oNf0U-GCidX8d9riy_leLg2tuWzhOIC_SA6RuwaobKtdR-dMHU3DPOK-PP2QP7F8oBZNbrCM0d318OzXxWW3CAGGyFzrpOAjUdUonjEF1hSXb_I2pJSV5fzvIhZny3r16v8gWVcfuzG12munrlAWbSIQBG34qf2Ylj2JxjelacFWLjncL9TXs2P4Maf0K4Wr-fiqa_XCafwVnyH91C5FlbushzefZg6rq9zca-XnTWtXd27DPtyXp9SjU_r-R_9pJlCMy8Wqp3xFTOucC9DJpBqqFzJifJPG-Gn443nFgQMWfDgfNUcTd3GMaEDtuTRO5qRJWaGzadCf7ysS3ae8r0YSTp-DaPpN6W7VjCFjeIpvjk3Cr_NTU3GY981aW90yuXH-AyRrFDxGDYR-u_4mm430fwN6kPTvF69bhqs8Qg7VX64VGOzD1b8G8M7TMJzGQO-aEqG-bwxzpkos5EDFgw4xrpw2STB86v-JW_Z_H0SVC8L9sF1yYjjk4AkdEwwJnI7UPc-3xnZI6C-BBM2_tKmr-ChhVaq9qN0DfwoFbHBjg3Ih-K1JxA8XUgG7rt-rJAlWMgX0F_NU7IYHKyATLbH9peD5CZb6DRV01VARkY8ddW8jbx_nFTMTAFhzFZjTCt789mmPybzAJz4_Of3YK94e4JxbBGzvecPY7tC6cgi1FQ_RO2aElYDM6UtuVm9Th7EU9DIqeGJLvASYXU\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Trying to clarify settings**\\n\\nI need to make sure I’m being concise in my answer. It might help to mention that \\\"4hs\\\" means 4 hours. I want to provide the exact settings required, so the user knows precisely what they need. It’s important to avoid any confusion or ambiguity here, as clear communication is key! I'll focus on outlining the essential details needed for their request.\"}]}"
            },
            {
              "type": "text",
              "text": "Set keepalive longer than 4h loss window? No. Better: send keepalives often so idle path never dies.\n\nClient fix. In `~/.ssh/config`:\n\n```sshconfig\nHost *\n  ServerAliveInterval 240\n  ServerAliveCountMax 60\n```\n\nThis does:\n- ping every 4 min\n- tolerate 60 missed pings\n- disconnect only after ~4h of no replies\n\nIf you want exactly 4h:\n- `240 * 60 = 14400s = 4h`\n\nSafer option:\n```sshconfig\nHost *\n  ServerAliveInterval 60\n  ServerAliveCountMax 240\n```\n\nSame 4h total, but sends a keepalive every minute, which is better for NAT/firewall idle drops.\n\nServer side too, if needed, in `/etc/ssh/sshd_config`:\n\n```conf\nClientAliveInterval 60\nClientAliveCountMax 240\n```\n\nThen restart sshd:\n```bash\nsudo systemctl restart ssh\n```\nor\n```bash\nsudo systemctl restart sshd\n```\n\nCheck active values:\n```bash\nssh -G your-host | grep -i serveralive\nsudo sshd -T | grep -i alive\n```\n\nRecommendation: use the 60s/240 setup. Better for idle-session survival.",
              "textSignature": "{\"v\":1,\"id\":\"msg_058f3b86ab5e4f940169f9f3210b50819085d3a9ea0337ed73\",\"phase\":\"final_answer\"}"
            }
          ],
          "api": "openai-codex-responses",
          "provider": "openai-codex",
          "model": "gpt-5.4",
          "usage": {
            "input": 4311,
            "output": 307,
            "cacheRead": 0,
            "cacheWrite": 0,
            "totalTokens": 4618,
            "cost": {
              "input": 0.0107775,
              "output": 0.004605,
              "cacheRead": 0,
              "cacheWrite": 0,
              "total": 0.0153825
            }
          },
          "stopReason": "stop",
          "timestamp": 1777988380842,
          "responseId": "resp_058f3b86ab5e4f940169f9f31d1b608190aaf8c7cde59ac4ac"
        }
      },
      {
        "type": "message",
        "id": "0c602f2e",
        "parentId": "8e6f9201",
        "timestamp": "2026-05-05T13:40:52.255Z",
        "message": {
          "role": "user",
          "content": [
            {
              "type": "text",
              "text": "this on this server or the laptop im connected in?"
            }
          ],
          "timestamp": 1777988452250
        }
      },
      {
        "type": "message",
        "id": "ca949478",
        "parentId": "0c602f2e",
        "timestamp": "2026-05-05T13:40:56.773Z",
        "message": {
          "role": "assistant",
          "content": [
            {
              "type": "text",
              "text": "Both can matter. Start with laptop.\n\nOrder:\n\n- Laptop/client: most likely fix\n  - edit `~/.ssh/config`\n  - set `ServerAliveInterval` and `ServerAliveCountMax`\n\n- Server: only needed if server itself is killing idle sessions\n  - edit `/etc/ssh/sshd_config`\n  - set `ClientAliveInterval` and `ClientAliveCountMax`\n\nRule:\n- `ServerAlive*` = goes on machine where you run `ssh`\n- `ClientAlive*` = goes on machine you ssh into\n\nIf your symptom is “I leave terminal idle, come back, session dead”, usually client keepalives on the laptop fix it.\n\nIf you want, I can tell you exact file to edit for your current direction if you say:\n- from which machine\n- into which machine",
              "textSignature": "{\"v\":1,\"id\":\"msg_058f3b86ab5e4f940169f9f3655690819091e0b292560ad7c4\",\"phase\":\"final_answer\"}"
            }
          ],
          "api": "openai-codex-responses",
          "provider": "openai-codex",
          "model": "gpt-5.4",
          "usage": {
            "input": 4611,
            "output": 174,
            "cacheRead": 0,
            "cacheWrite": 0,
            "totalTokens": 4785,
            "cost": {
              "input": 0.011527500000000001,
              "output": 0.00261,
              "cacheRead": 0,
              "cacheWrite": 0,
              "total": 0.0141375
            }
          },
          "stopReason": "stop",
          "timestamp": 1777988452251,
          "responseId": "resp_058f3b86ab5e4f940169f9f364ae1481909f4c69f067064192"
        }
      },
      {
        "type": "message",
        "id": "68b189d6",
        "parentId": "ca949478",
        "timestamp": "2026-05-05T13:41:21.127Z",
        "message": {
          "role": "user",
          "content": [
            {
              "type": "text",
              "text": "you change on server if it helps both laptop and phone connecting to server"
            }
          ],
          "timestamp": 1777988481123
        }
      },
      {
        "type": "message",
        "id": "ed0d4fc0",
        "parentId": "68b189d6",
        "timestamp": "2026-05-05T13:41:26.258Z",
        "message": {
          "role": "assistant",
          "content": [
            {
              "type": "thinking",
              "thinking": "",
              "thinkingSignature": "{\"id\":\"rs_058f3b86ab5e4f940169f9f382031081908591332c195e02d0\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-fOCEIibpasQZTnEZWqVdzZDeHSubfOJV87cALV7viWjsyNgLkPK9O4iypgMVH84ITDu6gjyBRKsLkgZ1zbnq2U49s9tNOJC-x2t6DPVqRelE_sPNEwvtORBK7xbOcskIrRsLStXuhvQYJ8ioq87D-k2OFZdVK1FmQYOszZ83_cOzWMgE430VzAr2aysi2BqHwxuVW36nVgNMlr3Q5O2pPkYOWwQJJ-jdjaWt9adL8D6QF4EClmIXTTizr08XJi0ujQ-HJTAz2RcaeLZmgMs7UdbkXtPSXt-ox3sBD7ZhpTDvz3ch7yETQI1Gh0fByxF9bJ1S8oS0biZ6oG-rU3_l-IldGjJro_-J4HwEPevKUj0H9W1bFRfQWrAzAaRn-Fob5_Y7Bd_obUyQ-0MRDg-X-Tl5RF5hUVPeFDtxjlkZd4-0TQmedSG59KtDqNS3Hr3Xj3vxXqGkLQETVukfRwbvy1JQxihxgRkBHbIyzHIh83TBDPF7NmZn5NK1RAbyPcEGuPcaFU8XCsiNhGjbAO6QSAwwJ6PW1DogT1CyEU4040nE3An2WGvyzFPZw87LO_d-OtI0Pol-Bo8bdKkDlCspWjVLRuixWy2BTvrMnOqRAO_aPgsZAlBpo6xsMZqoAUe4mEbnp2WKQV8tn06d6QgQ46sgeZ5fmXydrc6T0trXRLPbJuZpFVjt5C9gw2MsgPSvYgnF6d70ka3krtfff13SlnQdCs9J66PgPylsiX377WCJNpGNbl463lxJWzBOyDPvK6DivhYPjF_Mh0o-2-BA_xrv1_u7EeXbDAnEu4KFc79AECVZYz6KDCUcZ7zmJJbEtUrhNAh7iJ54dtykf3Q1es4d_ollJeXKGfLaa_3pHjF6M8GjcUtE9RXEE9fBPSJ-lsFuoxUFc6BTcvOnZnwsojXroPOzuYjy4uarOVlIXEPIWPPnJuACyz8tF1gkCEH3ZvI\",\"summary\":[]}"
            },
            {
              "type": "text",
              "text": "Yes.\n\nIf many devices connect to same server, changing server helps all of them.\n\nSet on server in `/etc/ssh/sshd_config`:\n\n```conf\nClientAliveInterval 60\nClientAliveCountMax 240\n```\n\nThis means:\n- server checks client every 60s\n- drops only after ~4h of no reply\n\nThen restart SSH:\n\n```bash\nsudo systemctl restart ssh\n```\n\nor:\n\n```bash\nsudo systemctl restart sshd\n```\n\nCheck loaded values:\n\n```bash\nsudo sshd -T | grep -i alive\n```\n\nImportant:\n- Server-side helps if server is the one ending idle sessions.\n- If laptop/phone network drops idle TCP/NAT state, client-side keepalives are still better.\n- Best coverage: set both.\n  - server: `ClientAlive*`\n  - each client: `ServerAlive*`\n\nIf you want, I can give you:\n1. server-only fix\n2. best-practice server + client config for laptop and phone",
              "textSignature": "{\"v\":1,\"id\":\"msg_058f3b86ab5e4f940169f9f3826b188190bbb3e6552516cf1b\",\"phase\":\"final_answer\"}"
            }
          ],
          "api": "openai-codex-responses",
          "provider": "openai-codex",
          "model": "gpt-5.4",
          "usage": {
            "input": 709,
            "output": 226,
            "cacheRead": 4096,
            "cacheWrite": 0,
            "totalTokens": 5031,
            "cost": {
              "input": 0.0017725000000000002,
              "output": 0.0033900000000000002,
              "cacheRead": 0.001024,
              "cacheWrite": 0,
              "total": 0.0061865
            }
          },
          "stopReason": "stop",
          "timestamp": 1777988481124,
          "responseId": "resp_058f3b86ab5e4f940169f9f38169148190beac30eb3ab07197"
        }
      },
      {
        "type": "message",
        "id": "4c608d6e",
        "parentId": "ed0d4fc0",
        "timestamp": "2026-05-05T13:42:02.634Z",
        "message": {

[372 more lines in file. Use offset=261 to continue.]


20260505T143201664755Z.json status= failed saved= None memory_id= None trigger= session-memory-dispatcher reason= before_switch:resume
20260505T134438583726Z.json status= failed saved= None memory_id= None trigger= session-memory-dispatcher reason= before_switch:new
20260501T194747970340Z.json status= failed saved= None memory_id= None trigger= session-memory-dispatcher reason= before_switch:new
20260501T044724939741Z.json status= failed saved= None memory_id= None trigger= session-memory-dispatcher reason= before_switch:new
20260501T044435783880Z.json status= failed saved= None memory_id= None trigger= session-memory-dispatcher reason= before_switch:new
20260501T035247390123Z.json status= failed saved= None memory_id= None trigger= session-memory-dispatcher reason= before_switch:resume
20260501T033642290422Z.json status= failed saved= None memory_id= None trigger= session-memory-dispatcher reason= before_switch:new
20260423T191132397823Z.json status= failed saved= None memory_id= None trigger= session-memory-dispatcher reason= before_switch:new
20260423T133840452732Z.json status= completed saved= False memory_id= None trigger= session-memory-dispatcher reason= before_switch:new
20260422T164407751383Z.json status= completed saved= False memory_id= None trigger= session-memory-dispatcher reason= before_switch:new
consolidation-20260422T164146241829Z.json status= None saved= None memory_id= None trigger= None reason= None
20260422T152622743888Z.json status= completed saved= True memory_id= mem_43cfc467de814cbf9e7fd2526df867ad trigger= session-memory-dispatcher reason= before_switch:new


bash

python3 - <<'PY'
import json
from pathlib import Path
for name in ['20260505T143201664755Z.json','20260505T134438583726Z.json','20260501T194747970340Z.json']:
 p=Path('/mnt/rpi/pi-config/sessions/session-memory-jobs')/name
 d=json.loads(p.read_text())
 print('\nFILE',name)
 print(json.dumps(d.get('analysis',{}), ensure_ascii=False, indent=2)[:4000])
PY


FILE 20260505T143201664755Z.json
{
  "status": "failed",
  "save": null,
  "memory_id": null,
  "error": "[Errno 2] No such file or directory: 'pi'"
}

FILE 20260505T134438583726Z.json
{
  "status": "failed",
  "save": null,
  "memory_id": null,
  "error": "[Errno 2] No such file or directory: 'pi'"
}

FILE 20260501T194747970340Z.json
{
  "status": "failed",
  "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\"\n[openai-codex] Token refresh failed: 401 {\n  \"error\": {\n    \"message\": \"Your refresh token has already been used to generate a new access token. Please try signing in again.\",\n    \"type\": \"invalid_request_error\",\n    \"param\": null,\n    \"code\": \"refresh_token_reused\"\n  }\n}\nNo API key for provider: openai-codex"
}


**Investigating service file issues**

I think I need to inspect the service file since there might be an issue with the environment PATH. It seems the dispatcher may have launched without the PATH including the pi binary, so I need to figure out the correct path for that. It's a bit tricky, but I’ll get to the bottom of it to make sure everything runs smoothly!

command -v pi || true
which pi || true
printf 'PATH=%s\n' "$PATH"
ls -l ~/.npm-global/bin/pi 2>/dev/null || true
ls -l /usr/local/bin/pi 2>/dev/null || true


/home/sebas/.npm-global/bin/pi
/home/sebas/.npm-global/bin/pi
PATH=/mnt/rpi/pi-config/bin:/home/sebas/.local/bin:/home/sebas/.bun/bin:/home/sebas/.npm-global/bin:/home/sebas/.local/bin:/home/sebas/.npm-global/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/games:/usr/games
lrwxrwxrwx 1 sebas sebas 61 May  1 01:37 /home/sebas/.npm-global/bin/pi -> ../lib/node_modules/@mariozechner/pi-coding-agent/dist/cli.js


[Unit]
Description=Pi session memory dispatcher
After=network-online.target
Wants=network-online.target

[Service]
Type=simple
ExecStart=/usr/bin/env python3 /mnt/rpi/pi-config/scripts/session-memory-dispatcher.py --host 127.0.0.1 --port 17882
Restart=always
RestartSec=2
Environment=AGENTS_DB_API=http://100.116.176.16:8091
WorkingDirectory=/mnt/rpi/pi-config

[Install]
WantedBy=default.target


**Debugging the system**

I need to debug the current system and address any mismatches I might find. It's essential to identify what's causing any issues so I can patch those errors effectively. I’m not sure if there are other underlying problems that I might overlook, but I’ll stay focused on making sure everything runs smoothly. Alright, let's get into it and try to figure out the best way to resolve any discrepancies!

edit

import argparse
import json
import os
import subprocess
import sys
from pathlib import Path
from typing import Any
from urllib import request

AGENTS_DB_API = os.environ.get("AGENTS_DB_API", "http://100.116.176.16:8091")
PI_MODEL = os.environ.get("PI_SESSION_MEMORY_MODEL", "gpt-5.4-mini")
PI_THINKING = os.environ.get("PI_SESSION_MEMORY_THINKING", "off")

import argparse
import json
import os
import shutil
import subprocess
import sys
from pathlib import Path
from typing import Any
from urllib import request

AGENTS_DB_API = os.environ.get("AGENTS_DB_API", "http://100.116.176.16:8091")
PI_MODEL = os.environ.get("PI_SESSION_MEMORY_MODEL", "gpt-5.4-mini")
PI_THINKING = os.environ.get("PI_SESSION_MEMORY_THINKING", "off")
PI_BIN = os.environ.get("PI_SESSION_MEMORY_PI_BIN")

def resolve_pi_bin() -> str:
    candidates = [
        PI_BIN,
        shutil.which("pi"),
        str(Path.home() / ".npm-global" / "bin" / "pi"),
        "/usr/local/bin/pi",
        "/usr/bin/pi",
    ]
    for candidate in candidates:
        if not candidate:
            continue
        if Path(candidate).exists():
            return candidate
    raise FileNotFoundError("pi")

def call_pi(prompt: str) -> str:
    cmd = [
        "pi",
        "-p",
        "--provider",
        "openai-codex",
        "--model",
        PI_MODEL,
        "--thinking",
        PI_THINKING,
        "--no-tools",
        "--no-session",
        prompt,
    ]

def call_pi(prompt: str) -> str:
    cmd = [
        resolve_pi_bin(),
        "-p",
        "--provider",
        "openai-codex",
        "--model",
        PI_MODEL,
        "--thinking",
        PI_THINKING,
        "--no-tools",
        "--no-session",
        prompt,
    ]


Successfully replaced 2 block(s) in /mnt/rpi/pi-config/scripts/session-memory-analyzer.py.

     ...
   3
   4 import argparse
   5 import json
   6 import os
+  7 import shutil
   7 import subprocess
   8 import sys
   9 from pathlib import Path
  10 from typing import Any
     ...
  12
  13 AGENTS_DB_API = os.environ.get("AGENTS_DB_API", "http://100.116.176.16:8091")
  14 PI_MODEL = os.environ.get("PI_SESSION_MEMORY_MODEL", "gpt-5.4-mini")
  15 PI_THINKING = os.environ.get("PI_SESSION_MEMORY_THINKING", "off")
+ 17 PI_BIN = os.environ.get("PI_SESSION_MEMORY_PI_BIN")
  16
  17
+ 20 def resolve_pi_bin() -> str:
+ 21     candidates = [
+ 22         PI_BIN,
+ 23         shutil.which("pi"),
+ 24         str(Path.home() / ".npm-global" / "bin" / "pi"),
+ 25         "/usr/local/bin/pi",
+ 26         "/usr/bin/pi",
+ 27     ]
+ 28     for candidate in candidates:
+ 29         if not candidate:
+ 30             continue
+ 31         if Path(candidate).exists():
+ 32             return candidate
+ 33     raise FileNotFoundError("pi")
+ 34
+ 35
  18 def load_job(job_file: Path) -> dict[str, Any]:
  19     return json.loads(job_file.read_text(encoding="utf-8"))
  20
  21
     ...
  24
  25
  26 def call_pi(prompt: str) -> str:
  27     cmd = [
- 28         "pi",
+ 46         resolve_pi_bin(),
  29         "-p",
  30         "--provider",
  31         "openai-codex",
  32         "--model",
     ...


**Considering environment paths**

I'm wondering if I need to patch the service environment path. It seems like it might be unnecessary since I'm using an absolute path. It could be worth testing and rerunning the latest job to see if that resolves any issues. I'll keep in mind the potential impact of adjustments on the overall environment. Let’s explore this further to make sure everything runs smoothly!


[Errno 2] No such file or directory: 'pi'

Root disk nearly full; /mnt/rpi has room and safe caches were moved there

Root filesystem on ballbox-first was at 97% used with ~494M free. Safe large paths were moved off root to /mnt/rpi and symlinked back: ~/go, ~/.bun, ~/.zed_server, ~/venvs, ~/downloads, ~/.pnpm-store. Biggest wins were ~/go (721M), ~/.pnpm-store (668M), ~/.bun (142M). ~/.local/share/zed was left in place because active Zed-related processes were present.

last_assistant_text in session metadata; df/du results in branch excerpt

Durable machine state and reusable remediation pattern for future low-space events.


bash

python3 - <<'PY'
import sqlite3, json
conn=sqlite3.connect('/mnt/rpi/agents-database/data/shared-agent-memory.sqlite3')
conn.row_factory=sqlite3.Row
row=conn.execute("select id, type, subtype, status, source_kind, title, origin_agent, source_ref, created_at, metadata_json from memories where id='mem_08b4efed55144d78af56bdd15821b61d'").fetchone()
print(json.dumps(dict(row), ensure_ascii=False, indent=2))
PY


Durable machine state and reusable remediation pattern for future low-space events.


**Troubleshooting errors**

I think I might need to clear the stale error. I wonder if the job status field is stuck in a queued state. It seems like there might not be an actual issue, but I’d better check it. My plan is to patch the analyzer so it can initialize the analysis fresh. I should also consider removing any stale errors to avoid confusion. Let's take it step by step!

edit

    job = load_job(job_file)
    meta = session_meta(job)
    job.setdefault("analysis", {})
    job["analysis"]["status"] = "running"
    save_job(job_file, job)

    job = load_job(job_file)
    meta = session_meta(job)
    job["analysis"] = {
        "status": "running",
        "save": None,
        "memory_id": None,
    }
    save_job(job_file, job)


Successfully replaced 1 block(s) in /mnt/rpi/pi-config/scripts/session-memory-analyzer.py.

     ...
 150
 151     job_file = Path(args.job_file)
 152     job = load_job(job_file)
 153     meta = session_meta(job)
-154     job.setdefault("analysis", {})
-155     job["analysis"]["status"] = "running"
+154     job["analysis"] = {
+155         "status": "running",
+156         "save": None,
+157         "memory_id": None,
+158     }
 156     save_job(job_file, job)
 157
 158     try:
 159         raw = call_pi(build_prompt(job))
     ...


**Ensuring job continuity**

I need to make sure future jobs run smoothly without needing a restart since the analyzer script was recently invoked fresh. I’m thinking the dispatcher shouldn't need a restart either. It might be useful to rerun the latest failed session job to confirm whether it saves as false or true. I want to focus on the latest timestamp at 13:44 to check on this. Let’s get it right!


Server-side SSH idle timeout set to 4h

Set server SSH keepalive on ballbox-first via /etc/ssh/sshd_config.d/99-idle-4h.conf: ClientAliveInterval 60, ClientAliveCountMax 240. sshd was restarted and active values verified. This helps all clients connecting to this server; client-side ServerAlive settings may still be needed if a laptop/phone network drops idle TCP state.

last assistant text: 'Done. Applied on server: - `/etc/ssh/sshd_config.d/99-idle-4h.conf` - `ClientAliveInterval 60` - `ClientAliveCountMax 240` Restarted SSH. Verified active... Effect: - server keeps idle SSH sessions alive - drops only after ~4h with no client reply'

Durable server config decision with clear future reuse across unrelated SSH sessions.

Server-side SSH idle timeout set to 4h


**Clarifying pipeline updates**

I need to mention the root cause and note how it differs from the canonical capture pipeline. Maybe I should update the to-do list to reflect that it's completed, but I still need to validate it fully. There's a chance I’ll need to debug and fix some issues. I could ask the user to test the new close, and I should mention that no restart is needed. Let’s mark this as in progress, possibly waiting for validation!

todo

Traced failure to session-memory analyzer subprocess not finding `pi` when launched from dispatcher context. Patched analyzer to resolve an absolute `pi` binary path robustly and reset stale analysis state on reruns. Replayed recent failed jobs successfully, creating durable memories. Pending final end-to-end validation from a fresh session close.


Updated #1

Debug missing session-close memory capture pipeline


Found it.

Root cause:
- session close hook **was firing**
- dispatcher **was receiving jobs**
- analyzer was **failing before ingest**
- failure: `No such file or directory: 'pi'`

So:
- not a DB problem
- not a hook problem
- not a timing problem
- analyzer subprocess had no usable `pi` binary in its env/path

Evidence:
- jobs existed in `/mnt/rpi/pi-config/sessions/session-memory-jobs/`
- recent jobs had:
  - `trigger=session-memory-dispatcher`
  - `reason=before_switch:*`
  - `analysis.status=failed`
  - `error="[Errno 2] No such file or directory: 'pi'"`

Fix applied:
- patched `scripts/session-memory-analyzer.py`
- it now resolves `pi` robustly via:
  - explicit env override
  - `shutil.which("pi")`
  - `~/.npm-global/bin/pi`
  - common fallback paths
- also patched it to reset stale `analysis` state on rerun

Validation:
- replayed failed jobs manually
- both now completed and saved memories

Created:
- `mem_08b4efed55144d78af56bdd15821b61d`
- `mem_b161e2e3072a49099cabb17193a4fb15`

Important nuance:
- this session-close system is **not** using `capture_session()` / `sources` / `ingestion_events`
- it uses:
  - hook → dispatcher job file → analyzer → direct `POST /api/ingest`
- so your earlier “pipeline not working” diagnosis was only true for the canonical capture pipeline, not for this newer dispatcher/analyzer path
- the newer path existed, but was broken at analyzer execution

Next:
- close/switch one more session now
- then I’ll verify fresh end-to-end success without manual replay

Optional hardening after that:
- set `PI_SESSION_MEMORY_PI_BIN=/home/sebas/.npm-global/bin/pi` in the dispatcher service too
- add lightweight logging for analyzer failures


it uses a cheap model right?


Yes.

Current analyzer defaults:
- provider: `openai-codex`
- model: `gpt-5.4-mini`
- thinking: `off`

From `scripts/session-memory-analyzer.py`:
- `PI_SESSION_MEMORY_MODEL` default = `gpt-5.4-mini`
- `PI_SESSION_MEMORY_THINKING` default = `off`

So it is set to a cheap path by default.

If you want, I can also verify the actual runtime env for the dispatcher/analyzer process, but code default is already cheap.


and fix if reboot persistant?


**Seeking concise clarity**

I need to ensure my answer is straightforward. It’s likely a yes, but I should highlight that the environment-less robust path should persist since the code patch in the repository and the running process uses a file with each spawn. The dispatcher service, upon reboot, runs the same script. It might also be worth mentioning optional environment hardening as an additional consideration. Clarity is key in delivering useful information!

Yes, should persist across reboot.

Why:
- fix is in repo code: `/mnt/rpi/pi-config/scripts/session-memory-analyzer.py`
- dispatcher already runs that script from this path
- on reboot, same dispatcher service/script will launch
- analyzer now resolves `pi` by absolute/fallback paths, so it no longer depends on fragile inherited `PATH`

So this is not just a live-process tweak.

Still worth hardening:
- add `PI_SESSION_MEMORY_PI_BIN=/home/sebas/.npm-global/bin/pi` to the dispatcher service env
- optional, not required now

If you want, I can add that too for belt-and-suspenders.


can you manually trigger for the last 10 sessions?


**Planning session analysis**

I need to get this done. Maybe I should ask the user about duplicates since it's reversible-ish and might create them. The user asked me directly, so I should mention that. It seems like we can rerun the last 10 jobs, focusing on those that haven't been saved. I’ll check what’s completed and maybe just retry the failed ones. But actually, since the user mentioned a manual trigger, I think I should go ahead and rerun all unsaved or failed sessions. Let’s do that and report back!

bash

python3 - <<'PY'
import json, subprocess, sys
from pathlib import Path
base = Path('/mnt/rpi/pi-config/sessions/session-memory-jobs')
files = sorted([p for p in base.glob('*.json') if p.is_file() and not p.name.startswith('consolidation-')], key=lambda p: p.stat().st_mtime, reverse=True)[:10]
print('TARGETS')
for p in files:
    data = json.loads(p.read_text())
    a = data.get('analysis', {})
    print(json.dumps({
        'file': p.name,
        'status': a.get('status'),
        'saved': a.get('saved'),
        'memory_id': a.get('memory_id'),
        'reason': data.get('payload', {}).get('reason'),
    }))
print('RUN')
for p in files:
    print(f'==> {p.name}')
    proc = subprocess.run(['python3', '/mnt/rpi/pi-config/scripts/session-memory-analyzer.py', '--job-file', str(p)], capture_output=True, text=True)
    print('rc=', proc.returncode)
    out = (proc.stdout or proc.stderr).strip()
    print(out[:4000])
PY


TARGETS
{"file": "20260505T134438583726Z.json", "status": "completed", "saved": true, "memory_id": "mem_b161e2e3072a49099cabb17193a4fb15", "reason": "before_switch:new"}
{"file": "20260505T143201664755Z.json", "status": "completed", "saved": true, "memory_id": "mem_08b4efed55144d78af56bdd15821b61d", "reason": "before_switch:resume"}
{"file": "20260501T194747970340Z.json", "status": "failed", "saved": null, "memory_id": null, "reason": "before_switch:new"}
{"file": "20260501T044724939741Z.json", "status": "failed", "saved": null, "memory_id": null, "reason": "before_switch:new"}
{"file": "20260501T044435783880Z.json", "status": "failed", "saved": null, "memory_id": null, "reason": "before_switch:new"}
{"file": "20260501T035247390123Z.json", "status": "failed", "saved": null, "memory_id": null, "reason": "before_switch:resume"}
{"file": "20260501T033642290422Z.json", "status": "failed", "saved": null, "memory_id": null, "reason": "before_switch:new"}
{"file": "20260423T191132397823Z.json", "status": "failed", "saved": null, "memory_id": null, "reason": "before_switch:new"}
{"file": "20260423T133840452732Z.json", "status": "completed", "saved": false, "memory_id": null, "reason": "before_switch:new"}
{"file": "20260422T164407751383Z.json", "status": "completed", "saved": false, "memory_id": null, "reason": "before_switch:new"}
RUN
==> 20260505T134438583726Z.json
rc= 0
{"status": "completed", "save": null, "memory_id": "mem_812ea22ea06d4368bdb66fe531e64fdc", "raw": "{\"save\":true,\"type\":\"project\",\"subtype\":\"ssh_keepalive\",\"scope\":\"global\",\"title\":\"Server SSH idle timeout raised to 4h\",\"content\":\"Set server-side OpenSSH keepalives on ballbox-first via /etc/ssh/sshd_config.d/99-idle-4h.conf: ClientAliveInterval 60, ClientAliveCountMax 240. Restarted ssh and verified active values with sshd -T. This keeps idle SSH sessions alive longer for all clients connecting to this server, including laptop and phone.\",\"source_ref\":\"session bf3e179b / /mnt/rpi/pi-config/sessions/--home-sebas--/2026-05-05T13-38-23-930Z_019df85c-7c39-73e8-aa53-3b548239898e.jsonl\",\"evidence_ref\":\"User asked to apply it on the server so it helps both laptop and phone; assistant created /etc/ssh/sshd_config.d/99-idle-4h.conf and verified clientaliveinterval 60 / clientalivecountmax 240.\",\"confidence\":0.99,\"freshness\":0.99,\"importance\":0.74,\"reason\":\"Durable server config change affecting future SSH sessions from multiple devices.\"}", "result": {"save": true, "type": "project", "subtype": "ssh_keepalive", "scope": "global", "title": "Server SSH idle timeout raised to 4h", "content": "Set server-side OpenSSH keepalives on ballbox-first via /etc/ssh/sshd_config.d/99-idle-4h.conf: ClientAliveInterval 60, ClientAliveCountMax 240. Restarted ssh and verified active values with sshd -T. This keeps idle SSH sessions alive longer for all clients connecting to this server, including laptop and phone.", "source_ref": "session bf3e179b / /mnt/rpi/pi-config/sessions/--home-sebas--/2026-05-05T13-38-23-930Z_019df85c-7c39-73e8-aa53-3b548239898e.jsonl", "evidence_ref": "User asked to apply it on the server so it helps both laptop and phone; assistant created /etc/ssh/sshd_config.d/99-idle-4h.conf and verified clientaliveinterval 60 / clientalivecountmax 240.", "confidence": 0.99, "freshness": 0.99, "importance": 0.74, "reason": "Durable server config change affecting future SSH sessions from multiple devices."}, "saved": true}
==> 20260505T143201664755Z.json
rc= 0
{"status": "completed", "save": null, "memory_id": null, "raw": "{\"save\":false,\"type\":\"episode\",\"subtype\":null,\"scope\":\"global\",\"title\":\"No durable memory\",\"content\":\"Session only covered freeing disk space on the Pi and checking root usage. No stable preference, enduring project fact, reusable artifact, or durable blocker emerged beyond this session.\",\"source_ref\":\"session:999aa631\",\"evidence_ref\":\"last_user_text: we were updating linux, can you move some things to /mnt/rpi to make space?\",\"confidence\":0.98,\"freshness\":1,\"importance\":0.05,\"reason\":\"Operational disk cleanup and space check. Not durable enough for future unrelated sessions.\"}", "result": {"save": false, "type": "episode", "subtype": null, "scope": "global", "title": "No durable memory", "content": "Session only covered freeing disk space on the Pi and checking root usage. No stable preference, enduring project fact, reusable artifact, or durable blocker emerged beyond this session.", "source_ref": "session:999aa631", "evidence_ref": "last_user_text: we were updating linux, can you move some things to /mnt/rpi to make space?", "confidence": 0.98, "freshness": 1, "importance": 0.05, "reason": "Operational disk cleanup and space check. Not durable enough for future unrelated sessions."}, "saved": false}
==> 20260501T194747970340Z.json
rc= 0
{"status": "completed", "save": null, "memory_id": null, "raw": "{\"save\":false,\"type\":\"episode\",\"subtype\":null,\"scope\":\"global\",\"title\":\"\", \"content\":\"\", \"source_ref\":\"session:20c476ba\",\"evidence_ref\":null,\"confidence\":0.99,\"freshness\":0.99,\"importance\":0.05,\"reason\":\"No durable user preference, project fact, reusable artifact, decision, or blocker beyond this session. The visible session content is mostly one-off repo audit work and a transient wording change already captured elsewhere.\"}", "result": {"save": false, "type": "episode", "subtype": null, "scope": "global", "title": "", "content": "", "source_ref": "session:20c476ba", "evidence_ref": null, "confidence": 0.99, "freshness": 0.99, "importance": 0.05, "reason": "No durable user preference, project fact, reusable artifact, decision, or blocker beyond this session. The visible session content is mostly one-off repo audit work and a transient wording change already captured elsewhere."}, "saved": false}
==> 20260501T044724939741Z.json
rc= 0
{"status": "completed", "save": null, "memory_id": "mem_f7f168513be944169a0a7790b25293f0", "raw": "{\"save\":true,\"type\":\"project\",\"subtype\":\"bugfix\",\"scope\":\"project\",\"title\":\"pi-tau-mux stale ctx crash on session replacement\",\"content\":\"`pi-tau-mux` can crash after `/new` because websocket callbacks in `extensions/tau-client.ts` keep using a captured extension ctx after session replacement/reload. Fix pattern: use the latest ctx at callback time, and ignore stale open races instead of throwing. Hotfix was applied in global node_modules and may be overwritten on reinstall.\",\"source_ref\":\"session:e0dc43af\",\"evidence_ref\":\"last_user_text + tool results showing `tau-client.ts` and `runner.js` stale ctx error\",\"confidence\":0.97,\"freshness\":1,\"importance\":0.88,\"reason\":\"Durable bug pattern in a reused local tool; likely relevant in future sessions until upstream fix lands.\"}", "result": {"save": true, "type": "project", "subtype": "bugfix", "scope": "project", "title": "pi-tau-mux stale ctx crash on session replacement", "content": "`pi-tau-mux` can crash after `/new` because websocket callbacks in `extensions/tau-client.ts` keep using a captured extension ctx after session replacement/reload. Fix pattern: use the latest ctx at callback time, and ignore stale open races instead of throwing. Hotfix was applied in global node_modules and may be overwritten on reinstall.", "source_ref": "session:e0dc43af", "evidence_ref": "last_user_text + tool results showing `tau-client.ts` and `runner.js` stale ctx error", "confidence": 0.97, "freshness": 1, "importance": 0.88, "reason": "Durable bug pattern in a reused local tool; likely relevant in future sessions until upstream fix lands."}, "saved": true}
==> 20260501T044435783880Z.json
rc= 0
{"status": "completed", "save": null, "memory_id": "mem_02a8d3bf9ae04a85aa700eb4d5c045e9", "raw": "{\"save\":true,\"type\":\"decision\",\"subtype\":\"architecture\",\"scope\":\"project\",\"title\":\"Prefer native tmux + pi sessions over the agent-start extension for side-agent workflows\",\"content\":\"Replace the extension-driven agent-start flow with native tmux sessions that run pi in the target cwd, use log files for output, and let the parent choose sync vs async inspection at runtime. Use the most native/classic Linux tools possible.\",\"source_ref\":\"session:2df681e4\",\"evidence_ref\":\"branch excerpt: 2026-04-30T23:23:02.491Z user message about uninstalling the extension and using tmux/pi/logs natively\",\"confidence\":0.96,\"freshness\":0.95,\"importance\":0.9,\"reason\":\"This is a durable workflow decision for the project, not a session note. It changes future agent/tooling direction and will matter across unrelated sessions.\"}", "result": {"save": true, "type": "decision", "subtype": "architecture", "scope": "project", "title": "Prefer native tmux + pi sessions over the agent-start extension for side-agent workflows", "content": "Replace the extension-driven agent-start flow with native tmux sessions that run pi in the target cwd, use log files for output, and let the parent choose sync vs async inspection at runtime. Use the most native/classic Linux tools possible.", "source_ref": "session:2df681e4", "evidence_ref": "branch excerpt: 2026-04-30T23:23:02.491Z user message about uninstalling the extension and using tmux/pi/logs natively", "confidence": 0.96, "freshness": 0.95, "importance": 0.9, "reason": "This is a durable workflow decision for the project, not a session note. It changes future agent/tooling direction and will matter across unrelated sessions."}, "saved": true}
==> 20260501T035247390123Z.json
rc= 0
{"status": "completed", "save": null, "memory_id": null, "raw": "{\"save\":false,\"type\":\"episode\",\"subtype\":null,\"scope\":\"global\",\"title\":\"No durable memory\",\"content\":\"Session only covers a transient UI/title fix in pi session-memory hooks and prompt labels. No stable user preference, enduring project fact, reusable artifact, or broad decision beyond this repo.\",\"source_ref\":\"session:6718157f\",\"evidence_ref\":\"extensions/session-memory-dispatcher.ts:155-168; scripts/session-memory-analyzer.py:156\",\"confidence\":0.95,\"freshness\":0.99,\"importance\":0.05,\"reason\":\"Content is operational and repo-local. Not durable enough for future unrelated sessions.\"}", "result": {"save": false, "type": "episode", "subtype": null, "scope": "global", "title": "No durable memory", "content": "Session only covers a transient UI/title fix in pi session-memory hooks and prompt labels. No stable user preference, enduring project fact, reusable artifact, or broad decision beyond this repo.", "source_ref": "session:6718157f", "evidence_ref": "extensions/session-memory-dispatcher.ts:155-168; scripts/session-memory-analyzer.py:156", "confidence": 0.95, "freshness": 0.99, "importance": 0.05, "reason": "Content is operational and repo-local. Not durable enough for future unrelated sessions."}, "saved": false}
==> 20260501T033642290422Z.json
rc= 0
{"status": "completed", "save": null, "memory_id": "mem_c636b2dc79794c57aded818ba6fdae2f", "raw": "{\"save\":true,\"type\":\"decision\",\"subtype\":\"workflow_architecture\",\"scope\":\"project\",\"title\":\"Replace agent-start extension with native tmux+pi workflow\",\"content\":\"Use native tmux sessions to run `pi` in a chosen cwd, with command output logged to files, and let the parent decide synchronous vs async inspection at call time. Update services architecture/docs first when touching tmux-related workflow.\",\"source_ref\":\"session:5a93c9f9\",\"evidence_ref\":\"user: \\\"Mejor desinstalar la extensión...\\\" + assistant read of SERVICES-ARCHITECTURE.md and agent-setup SKILL.md\",\"confidence\":0.93,\"freshness\":0.99,\"importance\":0.8,\"reason\":\"Durable workflow decision that changes future agent/session handling beyond this chat.\"}", "result": {"save": true, "type": "decision", "subtype": "workflow_architecture", "scope": "project", "title": "Replace agent-start extension with native tmux+pi workflow", "content": "Use native tmux sessions to run `pi` in a chosen cwd, with command output logged to files, and let the parent decide synchronous vs async inspection at call time. Update services architecture/docs first when touching tmux-related workflow.", "source_ref": "session:5a93c9f9", "evidence_ref": "user: \"Mejor desinstalar la extensión...\" + assistant read of SERVICES-ARCHITECTURE.md and agent-setup SKILL.md", "confidence": 0.93, "freshness": 0.99, "importance": 0.8, "reason": "Durable workflow decision that changes future agent/session handling beyond this chat."}, "saved": true}
==> 20260423T191132397823Z.json
rc= 0
{"status": "completed", "save": null, "memory_id": "mem_5be93517d726499fbdf0f614da57ef6e", "raw": "{\"save\":true,\"type\":\"project\",\"subtype\":\"memory_layer_rfc\",\"scope\":\"project\",\"title\":\"Memory layer RFC approved; hierarchical promotion is the key design\",\"content\":\"RFC aprobado. Resultado durable: la capa de memoria debe ser jerárquica con promoción explícita, no solo almacenamiento. Técnicas validadas con backing fuerte: TTL/short-term memory, summaries/pruning, episodic→semantic consolidation, dedup/fusion, hybrid retrieval y promotion with evidence. Estado: listo para prototipo; pendientes schema final, umbrales de promoción, jobs de consolidación y evaluación de utilidad/precisión. Nginx quedó ajustado para servir HTML desde /mnt correctamente.\",\"source_ref\":\"conversation:2026-04-22\",\"evidence_ref\":\"/mnt/rpi/pi-config/sessions/RFC-memory-layer-agents.md\",\"confidence\":0.98,\"freshness\":0.96,\"importance\":0.93,\"reason\":\"Hay una decisión de diseño aprobada y reusable para futuros trabajos del sistema de memoria; no es solo metadata de sesión.\"}", "result": {"save": true, "type": "project", "subtype": "memory_layer_rfc", "scope": "project", "title": "Memory layer RFC approved; hierarchical promotion is the key design", "content": "RFC aprobado. Resultado durable: la capa de memoria debe ser jerárquica con promoción explícita, no solo almacenamiento. Técnicas validadas con backing fuerte: TTL/short-term memory, summaries/pruning, episodic→semantic consolidation, dedup/fusion, hybrid retrieval y promotion with evidence. Estado: listo para prototipo; pendientes schema final, umbrales de promoción, jobs de consolidación y evaluación de utilidad/precisión. Nginx quedó ajustado para servir HTML desde /mnt correctamente.", "source_ref": "conversation:2026-04-22", "evidence_ref": "/mnt/rpi/pi-config/sessions/RFC-memory-layer-agents.md", "confidence": 0.98, "freshness": 0.96, "importance": 0.93, "reason": "Hay una decisión de diseño aprobada y reusable para futuros trabajos del sistema de memoria; no es solo metadata de sesión."}, "saved": true}
==> 20260423T133840452732Z.json
rc= 0
{"status": "completed", "save": null, "memory_id": "mem_68d91c0d9b6244f384fac0abfff678e7", "raw": "{\"save\":true,\"type\":\"project\",\"subtype\":\"payments_split_research\",\"scope\":\"project\",\"title\":\"Mercado Pago split payments need club revenue share option\",\"content\":\"The ballbox payment flow now needs support for a customizable percentage of each sale paid to the club hosting the vending machine. User wants this investigated and is open to challenging implementation assumptions, suggesting the split-payment design may need product/architecture validation before coding.\",\"source_ref\":\"session:31d27042:/mnt/rpi/pi-config/sessions/--mnt-rpi-repos-ballbox--/2026-04-22T14-38-27-079Z_019db5a0-cb07-701e-b971-284bf7a60070.jsonl\",\"evidence_ref\":\"last_user_text: 'now investigate MP split payments functionality. we need to provide an option to give a customizable percentage of every sell to the club that the vending machine is in. not really sure how if usually works to feel free to challenge my decisions (even more than usual) on this topic'\",\"confidence\":0.94,\"freshness\":0.98,\"importance\":0.93,\"reason\":\"Durable product requirement for payment architecture; likely affects future sessions and implementation decisions.\"}", "result": {"save": true, "type": "project", "subtype": "payments_split_research", "scope": "project", "title": "Mercado Pago split payments need club revenue share option", "content": "The ballbox payment flow now needs support for a customizable percentage of each sale paid to the club hosting the vending machine. User wants this investigated and is open to challenging implementation assumptions, suggesting the split-payment design may need product/architecture validation before coding.", "source_ref": "session:31d27042:/mnt/rpi/pi-config/sessions/--mnt-rpi-repos-ballbox--/2026-04-22T14-38-27-079Z_019db5a0-cb07-701e-b971-284bf7a60070.jsonl", "evidence_ref": "last_user_text: 'now investigate MP split payments functionality. we need to provide an option to give a customizable percentage of every sell to the club that the vending machine is in. not really sure how if usually works to feel free to challenge my decisions (even more than usual) on this topic'", "confidence": 0.94, "freshness": 0.98, "importance": 0.93, "reason": "Durable product requirement for payment architecture; likely affects future sessions and implementation decisions."}, "saved": true}
==> 20260422T164407751383Z.json
rc= 0
{"status": "completed", "save": null, "memory_id": null, "raw": "{\"save\":false,\"type\":\"episode\",\"subtype\":null,\"scope\":\"global\",\"title\":\"\", \"content\":\"\", \"source_ref\":\"session:cbb4098a\",\"evidence_ref\":null,\"confidence\":0.95,\"freshness\":0.95,\"importance\":0.05,\"reason\":\"No durable user preference, project fact, reusable artifact, or blocker beyond this session. Mostly session-specific caveman/AGENTS editing work and closing chatter.\"}", "result": {"save": false, "type": "episode", "subtype": null, "scope": "global", "title": "", "content": "", "source_ref": "session:cbb4098a", "evidence_ref": null, "confidence": 0.95, "freshness": 0.95, "importance": 0.05, "reason": "No durable user preference, project fact, reusable artifact, or blocker beyond this session. Mostly session-specific caveman/AGENTS editing work and closing chatter."}, "saved": false}


and yeah harden like you suggested


**Evaluating service setup**

I need to address potential duplicates created because I reran a completed process. It's essential to harden the service environment and maybe check the logs. I might also need to update my to-do list. I should inspect the service installation to see if it's running directly instead of through systemd. It could be worth editing the install script and examining the current running process because it persists via reboot. Let’s check all this!

todo

Traced failure to analyzer subprocess not finding `pi`. Patched analyzer to resolve an absolute `pi` binary path robustly and reset stale analysis state on reruns. Replayed recent session-memory jobs successfully. Next hardening: add explicit PI_SESSION_MEMORY_PI_BIN to service env and improve analyzer logging/dispatcher launch diagnostics.


Updated #1


bash

systemctl --user cat session-memory-dispatcher 2>/dev/null || true
printf '\n---\n'
ls -l ~/.config/systemd/user/session-memory-dispatcher.service 2>/dev/null || true
printf '\n---\n'
readlink -f ~/.config/systemd/user/session-memory-dispatcher.service 2>/dev/null || true

ps -o pid,ppid,cmd -p 1378 || true
systemctl --user --no-pager --full status session-memory-dispatcher 2>/dev/null || true


---

---
/home/sebas/.config/systemd/user/session-memory-dispatcher.service


    PID    PPID CMD
   1378    1289 python3 /mnt/rpi/pi-config/scripts/session-memory-dispatcher.py --host 127.0.0.1 --port 17882


systemctl --user list-units --type=service --all | grep -i session-memory || true
loginctl show-user sebas --property=Linger || true


ENOENT: no such file or directory, access '/home/sebas/.config/systemd/user/session-memory-dispatcher.service'


  install-session-memory-dispatcher.service    loaded    active   running Pi session memory dispatcher
Linger=yes


**Looking into systemctl usage**

I'm considering using `systemctl cat` with a `.service` file, but I might not need to include the suffix. It feels like using just `cat` might be enough for my purpose. I want to double-check and make sure I'm not missing anything important here. It's all about getting the right command, so I'll keep that in mind as I look into it further!

systemctl --user cat install-session-memory-dispatcher.service


# /home/sebas/.config/systemd/user/install-session-memory-dispatcher.service
[Unit]
Description=Pi session memory dispatcher
After=network-online.target
Wants=network-online.target

[Service]
Type=simple
ExecStart=/usr/bin/env python3 /mnt/rpi/pi-config/scripts/session-memory-dispatcher.py --host 127.0.0.1 --port 17882
Restart=always
RestartSec=2
Environment=AGENTS_DB_API=http://100.116.176.16:8091
WorkingDirectory=/mnt/rpi/pi-config

[Install]
WantedBy=default.target


**Improving service installation**

I'm considering how to handle the service named install-session-memory-dispatcher.service. I think we could enhance the installation script and the installed unit while adding logging in the dispatcher and analyzer. It seems patching the installation script might be necessary, especially if it's using an incorrect service name. It could be useful to create job-specific log files instead of sending everything to dev/null. I guess minimal adjustments like capturing stdout and stderr could be beneficial for better error analysis.

edit

def launch_analyzer(job_file: Path) -> None:
    subprocess.Popen(
        ["python3", str(ANALYZER), "--job-file", str(job_file)],
        stdout=subprocess.DEVNULL,
        stderr=subprocess.DEVNULL,
        start_new_session=True,
        close_fds=True,
    )

def launch_analyzer(job_file: Path) -> None:
    log_file = job_file.with_suffix(".log")
    log_handle = log_file.open("ab")
    subprocess.Popen(
        ["python3", str(ANALYZER), "--job-file", str(job_file)],
        stdout=log_handle,
        stderr=subprocess.STDOUT,
        start_new_session=True,
        close_fds=True,
    )


Successfully replaced 1 block(s) in /mnt/rpi/pi-config/scripts/session-memory-dispatcher.py.

     ...
  34     return job_file
  35
  36
  37 def launch_analyzer(job_file: Path) -> None:
+ 38     log_file = job_file.with_suffix(".log")
+ 39     log_handle = log_file.open("ab")
  38     subprocess.Popen(
  39         ["python3", str(ANALYZER), "--job-file", str(job_file)],
- 40         stdout=subprocess.DEVNULL,
- 41         stderr=subprocess.DEVNULL,
+ 42         stdout=log_handle,
+ 43         stderr=subprocess.STDOUT,
  42         start_new_session=True,
  43         close_fds=True,
  44     )
  45
     ...


Restart=always
RestartSec=2
Environment=AGENTS_DB_API=http://100.116.176.16:8091
WorkingDirectory=/mnt/rpi/pi-config


Successfully replaced 1 block(s) in /mnt/rpi/pi-config/scripts/install-session-memory-dispatcher.service.

    ...
  8 ExecStart=/usr/bin/env python3 /mnt/rpi/pi-config/scripts/session-memory-dispatcher.py --host 127.0.0.1 --port 17882
  9 Restart=always
 10 RestartSec=2
 11 Environment=AGENTS_DB_API=http://100.116.176.16:8091
+12 Environment=PI_SESSION_MEMORY_PI_BIN=/home/sebas/.npm-global/bin/pi
 12 WorkingDirectory=/mnt/rpi/pi-config
 13
 14 [Install]
 15 WantedBy=default.target


Could not find the exact text in /home/sebas/.config/systemd/user/install-session-memory-dispatcher.service. The old text must match exactly including all whitespace and newlines.


[Unit]
Description=Pi session memory dispatcher
After=network-online.target
Wants=network-online.target

[Service]
Type=simple
ExecStart=/usr/bin/env python3 /mnt/rpi/pi-config/scripts/session-memory-dispatcher.py --host 127.0.0.1 --port 17882
Restart=always
RestartSec=2
Environment=AGENTS_DB_API=http://100.116.176.16:8091
Environment=PI_SESSION_MEMORY_PI_BIN=/home/sebas/.npm-global/bin/pi
WorkingDirectory=/mnt/rpi/pi-config

[Install]
WantedBy=default.target


bash

systemctl --user daemon-reload && systemctl --user restart install-session-memory-dispatcher.service && sleep 1 && systemctl --user --no-pager --full status install-session-memory-dispatcher.service


● install-session-memory-dispatcher.service - Pi session memory dispatcher
     Loaded: loaded (/home/sebas/.config/systemd/user/install-session-memory-dispatcher.service; enabled; preset: enabled)
     Active: active (running) since Tue 2026-05-05 12:11:05 -03; 1s ago
 Invocation: 674270eb1a2a47c49c85c77cec0b1f3c
   Main PID: 41278 (python3)
      Tasks: 1 (limit: 9575)
        CPU: 73ms
     CGroup: /user.slice/user-1000.slice/user@1000.service/app.slice/install-session-memory-dispatcher.service
             └─41278 python3 /mnt/rpi/pi-config/scripts/session-memory-dispatcher.py --host 127.0.0.1 --port 17882

May 05 12:11:05 ballbox-first systemd[1289]: Started install-session-memory-dispatcher.service - Pi session memory dispatcher.
May 05 12:11:05 ballbox-first env[41278]: session-memory-dispatcher listening on http://127.0.0.1:17882/api/session-memory


**Considering duplicates**

I think I should mention the possibility of duplicates from the rerun process. It might make sense to keep track of how many were created from the last ten attempts. This way, I can manage any redundancy and ensure everything flows smoothly. Being mindful of duplicates can enhance clarity and efficiency in my output, so I’m focusing on a clean, organized approach. Let’s see how this plays out!

python3 - <<'PY'
import json
from pathlib import Path
base = Path('/mnt/rpi/pi-config/sessions/session-memory-jobs')
files = sorted([p for p in base.glob('*.json') if p.is_file() and not p.name.startswith('consolidation-')], key=lambda p: p.stat().st_mtime, reverse=True)[:10]
summary={'saved_true':0,'saved_false':0,'failed':0}
ids=[]
for p in files:
    d=json.loads(p.read_text())
    a=d.get('analysis',{})
    if a.get('status')!='completed': summary['failed']+=1
    elif a.get('saved') is True:
        summary['saved_true']+=1; ids.append(a.get('memory_id'))
    else:
        summary['saved_false']+=1
print(summary)
print(ids)
PY


{'saved_true': 6, 'saved_false': 4, 'failed': 0}
['mem_68d91c0d9b6244f384fac0abfff678e7', 'mem_5be93517d726499fbdf0f614da57ef6e', 'mem_c636b2dc79794c57aded818ba6fdae2f', 'mem_02a8d3bf9ae04a85aa700eb4d5c045e9', 'mem_f7f168513be944169a0a7790b25293f0', 'mem_812ea22ea06d4368bdb66fe531e64fdc']


Done.

Manual trigger, last 10 sessions:
- `6` saved memories
- `4` analyzed and skipped
- `0` failed

New saved memory ids:
- `mem_812ea22ea06d4368bdb66fe531e64fdc`
- `mem_f7f168513be944169a0a7790b25293f0`
- `mem_02a8d3bf9ae04a85aa700eb4d5c045e9`
- `mem_c636b2dc79794c57aded818ba6fdae2f`
- `mem_5be93517d726499fbdf0f614da57ef6e`
- `mem_68d91c0d9b6244f384fac0abfff678e7`

Hardening done:
- analyzer now resolves `pi` via absolute/fallback paths
- dispatcher now logs analyzer output to per-job `.log` files
- service env includes:
  - `PI_SESSION_MEMORY_PI_BIN=/home/sebas/.npm-global/bin/pi`
- user service restarted successfully
- reboot persistence: yes

Current service:
- `install-session-memory-dispatcher.service`
- active and enabled under user systemd

Note:
- rerunning already-completed jobs created some duplicate-style memories for previously saved sessions
- future runs should be fine; this was from manual replay

If you want, next I can:
1. dedupe the duplicates created today
2. do one fresh close/switch test and verify auto path end-to-end without manual replay