{"type":"session","version":3,"id":"019df862-33be-7759-b796-3d6b48b23493","timestamp":"2026-05-05T13:44:38.590Z","cwd":"/home/sebas"}
{"type":"model_change","id":"0ac359e9","parentId":null,"timestamp":"2026-05-05T13:44:39.932Z","provider":"openai-codex","modelId":"gpt-5.4"}
{"type":"thinking_level_change","id":"ce055adc","parentId":"0ac359e9","timestamp":"2026-05-05T13:44:39.932Z","thinkingLevel":"low"}
{"type":"message","id":"78bd71eb","parentId":"ce055adc","timestamp":"2026-05-05T13:44:54.745Z","message":{"role":"user","content":[{"type":"text","text":"how is the memory service going? latest runs?"}],"timestamp":1777988694740}}
{"type":"message","id":"ce4f751d","parentId":"78bd71eb","timestamp":"2026-05-05T13:45:02.104Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Checking memory service status**\n\nI need to find out about the memory service's current status and its latest runs. I think checking the agents database and possibly the service logs could help. It might make sense to use a memory-read skill since the user is looking for current information. I could inspect local services or search memories; the term \"memory service\" likely refers to the agents database. So, gathering status from the API or checking service status endpoints seems essential!","thinkingSignature":"{\"id\":\"rs_0d852cbc8d6115830169f9f45809dc8194ac8c50eae10cd6fb\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-fRdZfsQMmKiQr7IuqZaGQJxPyF7qwM13ZMJvYbIm637odUWw6iZaKyQmWshCgal7G9dXSxX-EUn6SgN1ckPNEnDzSzXurlLRqjx6QQWWY2vcjiPWVWgKCVfgazlANV8wD71DLSfjTH75Coj2z3X2iHpiO8x-7tW4r4w4Q6vav7bSjQq5MC7b2wVxUHKzO4lMiMmbbxg0ZK-gSJZmYworvKCr3N2RMuon02zOYHtiPzIaAW62s8wAzYhXOqN8jLSCsd-HhJqEXracIhnWrmsVviCps5y1aa_gznU227vx2EbypcdjpSq07uhDxtGDA2IUb4BBrhEu9m-9cDVdWCpXUjoXvH3KwBd2xXKHlOJgxDDn3EFml-3Y09O8-pljlk2gE9164AX_W3wMznPH0914npLUNR2ekIhyjYHJAr7IEejkU21jNIg4ZS0T_gnn7zJV0gJ8xTKc0ZiAoLq6jpJvIFV55oeXwIz8oC_NDeRg3fD51ctwWeTZd8Qf8biqBNvYM-3IDSPMXu2xt0uVAiev0Dkey_k-HWWZb25VAmd4rmZk68aDcNnbERc72gKaZsVH-NCQtMnxpf_3p2IGsfqZnXjoAWaPC2_VruPEKvgli20sJFZLCGP8_9wiFbjtbDjnQBQdMMV7t5aswPfDSs-pm_Zn4G2gH0M2oQiGyuH5_GBY14j4RQ32UWV8vEqkx_E3Vwz2kb8gbs5RdD0N4Yr9Z4G6empmWMTHJSIWVcQa1dWKIgkOaw8XG5vtrO8KA3AOwuK0JvcS8wnLYSnaL2ngQzzxIZRGXy7QnuWjOlTci8xKuqv9eNxiogSfxNfuX-34KnfRTnuZweuw3kuIypomc0axNe9h2UjRaPlYkmZcuuavP1fvN_EAKdBD9eIYgGTpAjdNd4vfAqYmtcZGKvwqD1FEtzibED9DQqKkNJtDC0rAVIKjdj_vajq5oWCTz_gMzKOoUxtJ-B89bcZtkSyIvwwFdVn0J9WUa3HPzBpy0OPOcMTHAeO8qjnBBBIoVRmGIeLr37MzWzNVmp5xc3d_HOOPH42SgdrKtNyILa3jwai_IKS9JWPmh2pAktQMCPyPkN83yfPdobIaNBbE_idbJZ_Zbod31KYTPenbgsvraEeTgS4RPjhmhL4Awk27VFBNdtgSoKFeK9e98KqU1EzdysH9-njjgqUx0QbUn7AN0JAdNdwieWpC_MJ0waMwZD-SxNA-okpPhDmdBKlv4Vwl9tB_KcFNLp7Ri_HQ8D9Q0uybVrAE61y8RQh5baN9M1ajH5Wo4SYj2oL9E6aGjLtqi8sIBVrfLJQyEe7dZQbze26xOQZvYMAlV4EWGchQqVqdZgWhiUKsKN6dsfjPM5bFAUCV-xCGvRGyG9P9KxkeTQeZZUWV4lQYHx54e-EA59y0QY6mjRNN8JD4tK50V5VbocTfRlJZPZbbHX3YYL64ydTtWmfrNLdUDg7SYwqhOgA4TMFnP5yytaYxyIJ-RMFczTsqKZXYQR9RNtCZq6_i5OKxomTt7K4lQIvKNeDFMwk1q6g\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Checking memory service status**\\n\\nI need to find out about the memory service's current status and its latest runs. I think checking the agents database and possibly the service logs could help. It might make sense to use a memory-read skill since the user is looking for current information. I could inspect local services or search memories; the term \\\"memory service\\\" likely refers to the agents database. So, gathering status from the API or checking service status endpoints seems essential!\"}]}"},{"type":"toolCall","id":"call_Rhjt6X3LrnHl6ttHliPK1uFU|fc_0d852cbc8d6115830169f9f45de4488194ad0be0d63b9f9ea7","name":"bash","arguments":{"command":"set -e\nprintf 'STATUS\\n'\ncurl -sf http://100.116.176.16:8091/api/status || true\nprintf '\\n\\nROOT\\n'\ncurl -sf http://100.116.176.16:8091/ || true\nprintf '\\n\\nOPENAPI?\\n'\ncurl -sf http://100.116.176.16:8091/openapi.json || true","timeout":15}},{"type":"toolCall","id":"call_bTQg7QCVQOl7qteQl50hO0yL|fc_0d852cbc8d6115830169f9f45de4588194ab579f888979c45d","name":"bash","arguments":{"command":"set -e\nps -ef | grep -i '[a]gents-database' || true\nsystemctl --no-pager --full status agents-database 2>/dev/null || true\njournalctl -u agents-database -n 40 --no-pager 2>/dev/null || true","timeout":15}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":3968,"output":299,"cacheRead":0,"cacheWrite":0,"totalTokens":4267,"cost":{"input":0.00992,"output":0.004485,"cacheRead":0,"cacheWrite":0,"total":0.014405000000000001}},"stopReason":"toolUse","timestamp":1777988694742,"responseId":"resp_0d852cbc8d6115830169f9f45716588194a436c10ff146e102"}}
{"type":"message","id":"1a272a01","parentId":"ce4f751d","timestamp":"2026-05-05T13:45:02.253Z","message":{"role":"toolResult","toolCallId":"call_Rhjt6X3LrnHl6ttHliPK1uFU|fc_0d852cbc8d6115830169f9f45de4488194ad0be0d63b9f9ea7","toolName":"bash","content":[{"type":"text","text":"STATUS\n{\"ok\": true, \"db_path\": \"/mnt/rpi/agents-database/data/shared-agent-memory.sqlite3\", \"dashboard\": {\"active_tasks\": [{\"id\": \"task_33d854e72d094660a2fb293a8723f5c5\", \"title\": \"Fix GitHub credential automation so repo pushes and PR creation use the intended account reliably\", \"intent\": \"The current credential helper flow can select the wrong GitHub identity during multi-repo push and PR automation. Investigate the root cause across gh auth git credential helper and repo remote handling, then design a safer simpler script or convention.\", \"kind\": \"subtask\", \"status\": \"open\", \"priority\": 9, \"project_id\": \"proj_personal_agent\", \"repo_id\": \"repo_personal_agent\", \"parent_task_id\": \"task_afed9eaf504f42b99348a815d56148cc\", \"origin\": \"implementation\", \"owner_agent\": \"personal-agent\", \"blocked_reason\": null, \"requires_human_input\": false, \"due_at\": null, \"created_at\": \"2026-03-14T22:07:02.464013+00:00\", \"updated_at\": \"2026-03-15T14:13:45.052882+00:00\", \"schema_version\": \"shared-agent-memory-v2\", \"run_id\": null, \"metadata\": {\"acceptance\": [\"push uses intended GitHub account without token workarounds\", \"PR creation works consistently across public and private repos\", \"documented operator flow is simpler than the current state\"], \"area\": \"git_credentials\", \"classification_note\": \"User confirmed this credential automation task is post-V1 and not a blocker for V1 closeout.\", \"kind\": \"low_priority_followup\", \"milestone\": \"post-V1\", \"relevant_repos\": [\"/Users/sebas/personal-agent\", \"/Users/sebas/agents-database\", \"/Users/sebas/ai-dev-workflow\", \"/Users/sebas/ballbox-company-agent\"], \"requested_on\": \"2026-03-14\", \"v1_closeout_epic_id\": \"task_afed9eaf504f42b99348a815d56148cc\", \"v1_excluded\": true, \"why_now\": \"PR creation required direct credential workarounds; automation should simplify this later\"}}], \"blocked_tasks\": [], \"recent_runs\": [{\"id\": \"run_d37c8577c9674333b7157a945274385a\", \"task_id\": \"task_3d7271f7d19e456791b5796695fbe2fa\", \"agent_id\": \"personal-agent\", \"status\": \"completed\", \"result_summary\": \"Local readiness is partial: repo docs and runtime surface exist, current status API works, but full verification is not yet proven in this sandbox.\", \"error_message\": null, \"started_at\": \"2026-03-15T14:21:34.691945+00:00\", \"completed_at\": \"2026-03-15T14:22:58.675711+00:00\", \"created_at\": \"2026-03-15T14:21:34.691945+00:00\", \"updated_at\": \"2026-03-15T14:22:58.675711+00:00\", \"input_payload\": {\"mode\": \"codex-agentic\"}, \"metadata\": {}}, {\"id\": \"run_ce032d1c6fbf4e3aa23a26df10d8d91f\", \"task_id\": \"task_46bb6d81471e47e39340198a889252a1\", \"agent_id\": \"personal-agent\", \"status\": \"failed\", \"result_summary\": null, \"error_message\": \"error: unexpected argument '--ask-for-approval' found\\n\\n  tip: to pass '--ask-for-approval' as a value, use '-- --ask-for-approval'\\n\\nUsage: codex exec --sandbox <SANDBOX_MODE> [PROMPT]\\n\\nFor more information, try '--help'.\", \"started_at\": \"2026-03-15T14:19:23.634939+00:00\", \"completed_at\": \"2026-03-15T14:19:23.690219+00:00\", \"created_at\": \"2026-03-15T14:19:23.634939+00:00\", \"updated_at\": \"2026-03-15T14:19:23.690219+00:00\", \"input_payload\": {\"mode\": \"codex-agentic\"}, \"metadata\": {}}, {\"id\": \"run_d7ea2a60bbd74e9b8fdaa628115d7cbd\", \"task_id\": \"task_4a80a42f5d424f7191b151c3640db934\", \"agent_id\": \"personal-agent\", \"status\": \"failed\", \"result_summary\": null, \"error_message\": \"error: unexpected argument '--ask-for-approval' found\\n\\n  tip: to pass '--ask-for-approval' as a value, use '-- --ask-for-approval'\\n\\nUsage: codex exec --sandbox <SANDBOX_MODE> [PROMPT]\\n\\nFor more information, try '--help'.\", \"started_at\": \"2026-03-15T14:16:58.205690+00:00\", \"completed_at\": \"2026-03-15T14:16:58.257806+00:00\", \"created_at\": \"2026-03-15T14:16:58.205690+00:00\", \"updated_at\": \"2026-03-15T14:16:58.257806+00:00\", \"input_payload\": {\"mode\": \"codex-agentic\"}, \"metadata\": {}}], \"recent_artifacts\": [{\"id\": \"art_d9ed019809c24381919c280f28481652\", \"task_id\": \"task_2e1c07a93b9d40598bb4bfa504a5d726\", \"artifact_type\": \"delegation_note\", \"title\": \"Handoff personal-agent -> ai-dev-workflow\", \"content\": \"{\\\"completed_at\\\": \\\"2026-03-15T14:18:48.588043+00:00\\\", \\\"error_message\\\": null, \\\"from_agent\\\": \\\"personal-agent\\\", \\\"payload\\\": {\\\"expected_artifacts\\\": [\\\"report\\\"], \\\"idempotency_key\\\": \\\"task_2e1c07a93b9d40598bb4bfa504a5d726\\\", \\\"intent\\\": \\\"Smoke task: assess current V1 readiness and propose one safe internal next step, no repo work and no external actions.\\\", \\\"route\\\": {\\\"codex_instruction\\\": \\\"\\\", \\\"delegation_target\\\": \\\"ai-dev-workflow\\\", \\\"planning_source\\\": \\\"fallback\\\", \\\"primary_agent\\\": \\\"code\\\", \\\"reason\\\": \\\"code work (repo)\\\", \\\"secondary_agent\\\": null}, \\\"task_id\\\": \\\"task_2e1c07a93b9d40598bb4bfa504a5d726\\\"}, \\\"reason\\\": \\\"code work (repo)\\\", \\\"result_summary\\\": \\\"ai-dev-workflow accepted the handoff and persisted intake context.\\\", \\\"status\\\": \\\"accepted\\\", \\\"to_agent\\\": \\\"ai-dev-workflow\\\"}\", \"format\": \"json\", \"status\": \"active\", \"source_ref\": \"migration:v2\", \"created_at\": \"2026-04-30T17:32:27.377428+00:00\", \"updated_at\": \"2026-04-30T17:32:27.377432+00:00\", \"metadata\": {}}, {\"id\": \"art_4e83c1c6fdf94b3ca70f6e0dbb9be2d7\", \"task_id\": \"task_ed6a38c1b49f4e829e067d49d206148b\", \"artifact_type\": \"delegation_note\", \"title\": \"Handoff personal-agent -> ai-dev-workflow\", \"content\": \"{\\\"completed_at\\\": \\\"2026-03-15T14:18:33.506326+00:00\\\", \\\"error_message\\\": null, \\\"from_agent\\\": \\\"personal-agent\\\", \\\"payload\\\": {\\\"expected_artifacts\\\": [\\\"report\\\"], \\\"idempotency_key\\\": \\\"task_ed6a38c1b49f4e829e067d49d206148b\\\", \\\"intent\\\": \\\"Smoke test after codex CLI fix: summarize current runtime health and suggest one safe internal next step only.\\\", \\\"route\\\": {\\\"codex_instruction\\\": \\\"\\\", \\\"delegation_target\\\": \\\"ai-dev-workflow\\\", \\\"planning_source\\\": \\\"fallback\\\", \\\"primary_agent\\\": \\\"code\\\", \\\"reason\\\": \\\"code work (fix)\\\", \\\"secondary_agent\\\": null}, \\\"task_id\\\": \\\"task_ed6a38c1b49f4e829e067d49d206148b\\\"}, \\\"reason\\\": \\\"code work (fix)\\\", \\\"result_summary\\\": \\\"ai-dev-workflow accepted the handoff and persisted intake context.\\\", \\\"status\\\": \\\"accepted\\\", \\\"to_agent\\\": \\\"ai-dev-workflow\\\"}\", \"format\": \"json\", \"status\": \"active\", \"source_ref\": \"migration:v2\", \"created_at\": \"2026-04-30T17:32:27.377374+00:00\", \"updated_at\": \"2026-04-30T17:32:27.377379+00:00\", \"metadata\": {}}, {\"id\": \"art_7ed9c6867a814f7fb9ad4f45fc9a578e\", \"task_id\": \"task_afed9eaf504f42b99348a815d56148cc\", \"artifact_type\": \"delegation_note\", \"title\": \"Handoff personal-agent -> implementation-agent\", \"content\": \"{\\\"completed_at\\\": \\\"2026-03-14T21:29:18.517341+00:00\\\", \\\"error_message\\\": null, \\\"from_agent\\\": \\\"personal-agent\\\", \\\"payload\\\": {\\\"artifact_id\\\": \\\"art_598b5da707dd47709fc0fe9bb3e79e28\\\", \\\"epic_id\\\": \\\"task_afed9eaf504f42b99348a815d56148cc\\\", \\\"expected_artifacts\\\": [\\\"migration_report\\\", \\\"v1_cross_reference_report\\\"], \\\"idempotency_key\\\": \\\"task_afed9eaf504f42b99348a815d56148cc\\\", \\\"remaining_task_ids\\\": [\\\"task_a240986d7c8a4474ba5246536769deed\\\", \\\"task_c0b65186af7d4013b2c1d2906ea6a28e\\\"]}, \\\"reason\\\": \\\"Finish remaining V1 migration and GitHub cross-reference work\\\", \\\"result_summary\\\": \\\"Finished legacy bridge and V1 multi-repo cross-reference work; shared DB now contains the resume anchors and completion artifacts.\\\", \\\"status\\\": \\\"completed\\\", \\\"to_agent\\\": \\\"implementation-agent\\\"}\", \"format\": \"json\", \"status\": \"active\", \"source_ref\": \"migration:v2\", \"created_at\": \"2026-04-30T17:32:27.377239+00:00\", \"updated_at\": \"2026-04-30T17:32:27.377247+00:00\", \"metadata\": {}}, {\"id\": \"art_eb70bf77f5524240a4782e1e6e5eddb3\", \"task_id\": \"task_3d7271f7d19e456791b5796695fbe2fa\", \"artifact_type\": \"execution_state\", \"title\": \"Execution state snapshot\", \"content\": \"{\\n  \\\"action_results\\\": [\\n    {\\n      \\\"task_id\\\": \\\"task_561a1444260c4c23b716ab65ad2ebe3d\\\",\\n      \\\"type\\\": \\\"create_followup_task\\\"\\n    }\\n  ],\\n  \\\"outcome\\\": \\\"complete\\\",\\n  \\\"run_id\\\": \\\"run_d37c8577c9674333b7157a945274385a\\\",\\n  \\\"summary\\\": \\\"Local readiness is partial: repo docs and runtime surface exist, current status API works, but full verification is not yet proven in this sandbox.\\\"\\n}\", \"format\": \"json\", \"status\": \"active\", \"source_ref\": \"personal-agent\", \"created_at\": \"2026-03-15T14:22:58.674979+00:00\", \"updated_at\": \"2026-03-15T14:22:58.674979+00:00\", \"metadata\": {\"outcome\": \"complete\", \"task_run_id\": \"run_d37c8577c9674333b7157a945274385a\"}}, {\"id\": \"art_f2e3c950a9b8427e89e083457683077e\", \"task_id\": \"task_3d7271f7d19e456791b5796695fbe2fa\", \"artifact_type\": \"report\", \"title\": \"CLI Smoke Readiness Summary\", \"content\": \"## Findings\\n- Confirmed locally on 2026-03-15: `python3 scripts/personal.py --json status` works and returns live task/run state. Current snapshot shows `active_task_count=19`, `blocked_task_count=2`, `pending_approval_count=0`.\\n- Confirmed locally on 2026-03-15: `codex exec --help` matches the newer CLI shape and supports `-C/--cd`, `--add-dir`, `--output-last-message`; it does not advertise the older `--ask-for-approval` flow.\\n- Confirmed from repo state: local edits in `personal_agent/planner.py`, `personal_agent/runtime.py`, and `tests/test_personal.py` replace the obsolete `--ask-for-approval` and `--search` flags with `-C`, and add test coverage for that command shape.\\n- Confirmed from runtime evidence: recent stored runs failed with exact error `unexpected argument '--ask-for-approval' found`, so the earlier smoke failures were real and explainable.\\n- Confirmed from docs/scripts: the only declared repo gate is `./scripts/run-checks.sh`, which runs `python3 -m unittest discover -s tests`.\\n- Not confirmed: full repo test pass. In this read-only sandbox, the test suite fails before exercising app behavior because Python cannot create temp dirs: `FileNotFoundError: No usable temporary directory found`.\\n- Not confirmed: shared-memory operational readiness under this sandbox. Targeted memory search failed with `sqlite3.OperationalError: attempt to write a readonly database`, so shared DB interaction is not proven here.\\n- Not confirmed: production readiness. Docs still describe dashboard, daemon, worker, approvals, and multi-repo handoff topology, but this run did not validate dashboard serving, worker completion, or end-to-end shared-memory writes.\\n\\n## Risks\\n- Main near-term risk is false confidence from static docs plus partial command success while writable-path and temp-dir assumptions remain unverified.\\n- Working tree is dirty, so the codex CLI fix appears in progress but not yet fully validated by a successful full gate.\\n\\n## Recommended Next Action\\n- Queue one internal follow-up task: rerun the full local smoke gate in a writable environment after the current codex CLI flag fix lands, with focus on two proofs only: tests pass and shared-memory-backed worker flow completes without the old CLI error.\", \"format\": \"md\", \"status\": \"active\", \"source_ref\": \"personal-agent\", \"created_at\": \"2026-03-15T14:22:58.671693+00:00\", \"updated_at\": \"2026-03-15T14:22:58.671693+00:00\", \"metadata\": {\"outcome\": \"complete\", \"task_run_id\": \"run_d37c8577c9674333b7157a945274385a\"}}, {\"id\": \"art_504acf83d6fe481f82082c3fa518b6cb\", \"task_id\": \"task_3d7271f7d19e456791b5796695fbe2fa\", \"artifact_type\": \"plan\", \"title\": \"Execution Plan\", \"content\": \"# Plan for Fresh CLI smoke task: summarize current system readiness and suggest one safe internal coordinati...\\n\\n- Route: personal\\n- Secondary route: code\\n- Planning source: codex\\n- Codex instruction: Use Python as the shell entrypoint; inspect current local readiness signals, summarize gaps conservatively, and record one internal-only coordination next step in shared DB/audit state.\\n\\n## Subtasks\\n- Collect readiness signals\\n- Write smoke summary\\n- Propose one coordination step\", \"format\": \"md\", \"status\": \"active\", \"source_ref\": \"personal-agent\", \"created_at\": \"2026-03-15T14:21:32.622366+00:00\", \"updated_at\": \"2026-03-15T14:21:32.622366+00:00\", \"metadata\": {\"route\": {\"codex_instruction\": \"Use Python as the shell entrypoint; inspect current local readiness signals, summarize gaps conservatively, and record one internal-only coordination next step in shared DB/audit state.\", \"delegation_target\": null, \"planning_source\": \"codex\", \"primary_agent\": \"personal\", \"reason\": \"Planning/synthesis task with light repo-readiness context; no external action.\", \"secondary_agent\": \"code\"}}}, {\"id\": \"art_52e95ab045ea45df8cd59f44707194ef\", \"task_id\": \"task_3d7271f7d19e456791b5796695fbe2fa\", \"artifact_type\": \"normalized_intent\", \"title\": \"Normalized Intent\", \"content\": \"Request: Fresh CLI smoke task: summarize current system readiness and suggest one safe internal coordination step only. No external actions.\\nPrimary route: personal\\nSecondary route: code\\nReason: Planning/synthesis task with light repo-readiness context; no external action.\\nPlanning source: codex\\nCodex instruction: Use Python as the shell entrypoint; inspect current local readiness signals, summarize gaps conservatively, and record one internal-only coordination next step in shared DB/audit state.\\nRelevant memory:\\n- Sebas idea: custom AI solutions as alternative income [mem_sebas_custom_ai_solutions_income_idea]\\n- Research run: Produce a production-readiness plan for ballbox-payment-integration [legacy_run_1f1a3fd4-eb28-4e99-891f-07c97243a06f]\\n- Sebas desired relationship with money [mem_sebas_money_relationship]\", \"format\": \"md\", \"status\": \"active\", \"source_ref\": \"personal-agent\", \"created_at\": \"2026-03-15T14:21:32.621453+00:00\", \"updated_at\": \"2026-03-15T14:21:32.621453+00:00\", \"metadata\": {\"route\": {\"codex_instruction\": \"Use Python as the shell entrypoint; inspect current local readiness signals, summarize gaps conservatively, and record one internal-only coordination next step in shared DB/audit state.\", \"delegation_target\": null, \"planning_source\": \"codex\", \"primary_agent\": \"personal\", \"reason\": \"Planning/synthesis task with light repo-readiness context; no external action.\", \"secondary_agent\": \"code\"}}}, {\"id\": \"art_64eb875c9be041c2bf56ef7825e7b49d\", \"task_id\": \"task_46bb6d81471e47e39340198a889252a1\", \"artifact_type\": \"plan\", \"title\": \"Execution Plan\", \"content\": \"# Plan for Smoke task: summarize current system readiness and suggest one safe internal coordination step on...\\n\\n- Route: personal\\n- Planning source: fallback\\n\\n## Subtasks\\n- Clarify objective and constraints\\n- Gather context and evidence\\n- Produce final recommendation\", \"format\": \"md\", \"status\": \"active\", \"source_ref\": \"personal-agent\", \"created_at\": \"2026-03-15T14:19:21.818641+00:00\", \"updated_at\": \"2026-03-15T14:19:21.818641+00:00\", \"metadata\": {\"route\": {\"codex_instruction\": \"\", \"delegation_target\": null, \"planning_source\": \"fallback\", \"primary_agent\": \"personal\", \"reason\": \"default personal route\", \"secondary_agent\": null}}}, {\"id\": \"art_0f68333747c744728f5291e4e64d563a\", \"task_id\": \"task_46bb6d81471e47e39340198a889252a1\", \"artifact_type\": \"normalized_intent\", \"title\": \"Normalized Intent\", \"content\": \"Request: Smoke task: summarize current system readiness and suggest one safe internal coordination step only. No external actions.\\nPrimary route: personal\\nSecondary route: none\\nReason: default personal route\\nPlanning source: fallback\\nRelevant memory:\\n- Sebas idea: custom AI solutions as alternative income [mem_sebas_custom_ai_solutions_income_idea]\\n- Research run: Produce a production-readiness plan for ballbox-payment-integration [legacy_run_1f1a3fd4-eb28-4e99-891f-07c97243a06f]\\n- Sebas desired relationship with money [mem_sebas_money_relationship]\", \"format\": \"md\", \"status\": \"active\", \"source_ref\": \"personal-agent\", \"created_at\": \"2026-03-15T14:19:21.818049+00:00\", \"updated_at\": \"2026-03-15T14:19:21.818049+00:00\", \"metadata\": {\"route\": {\"codex_instruction\": \"\", \"delegation_target\": null, \"planning_source\": \"fallback\", \"primary_agent\": \"personal\", \"reason\": \"default personal route\", \"secondary_agent\": null}}}, {\"id\": \"art_a60c0d4bffb14d67be795c5f45124318\", \"task_id\": \"task_2e1c07a93b9d40598bb4bfa504a5d726\", \"artifact_type\": \"handoff_result\", \"title\": \"Handoff result from ai-dev-workflow\", \"content\": \"{\\n  \\\"artifacts\\\": [],\\n  \\\"memory_id\\\": \\\"mem_17eea5c0658f4cd3beece90a93d35e36\\\",\\n  \\\"status\\\": \\\"accepted\\\",\\n  \\\"summary\\\": \\\"ai-dev-workflow accepted the handoff and persisted intake context.\\\",\\n  \\\"task_id\\\": \\\"task_2e1c07a93b9d40598bb4bfa504a5d726\\\"\\n}\", \"format\": \"json\", \"status\": \"active\", \"source_ref\": \"ai-dev-workflow\", \"created_at\": \"2026-03-15T14:18:48.589136+00:00\", \"updated_at\": \"2026-03-15T14:18:48.589136+00:00\", \"metadata\": {\"handoff_id\": \"hof_bdc2e7b08a7c4cdb803c986fc6ec84fc\"}}, {\"id\": \"art_ecadce16c6ce44e9b8b534630a2aea26\", \"task_id\": \"task_2e1c07a93b9d40598bb4bfa504a5d726\", \"artifact_type\": \"plan\", \"title\": \"Execution Plan\", \"content\": \"# Plan for Smoke task: assess current V1 readiness and propose one safe internal next step, no repo work and...\\n\\n- Route: code\\n- Planning source: fallback\\n- Delegation target: ai-dev-workflow\\n\\n## Subtasks\\n- Inspect technical context\\n- Delegate code execution\\n- Summarize technical outcome\", \"format\": \"md\", \"status\": \"active\", \"source_ref\": \"personal-agent\", \"created_at\": \"2026-03-15T14:18:47.342014+00:00\", \"updated_at\": \"2026-03-15T14:18:47.342014+00:00\", \"metadata\": {\"route\": {\"codex_instruction\": \"\", \"delegation_target\": \"ai-dev-workflow\", \"planning_source\": \"fallback\", \"primary_agent\": \"code\", \"reason\": \"code work (repo)\", \"secondary_agent\": null}}}, {\"id\": \"art_73f79012e7f0471085d2749541f5748b\", \"task_id\": \"task_2e1c07a93b9d40598bb4bfa504a5d726\", \"artifact_type\": \"normalized_intent\", \"title\": \"Normalized Intent\", \"content\": \"Request: Smoke task: assess current V1 readiness and propose one safe internal next step, no repo work and no external actions.\\nPrimary route: code\\nSecondary route: none\\nReason: code work (repo)\\nPlanning source: fallback\\nRelevant memory:\\n- Research run: Produce a production-readiness plan for ballbox-payment-integration [legacy_run_1f1a3fd4-eb28-4e99-891f-07c97243a06f]\\n- Research run: Analyze the best next steps to make ballbox-payment-integration production-ready [legacy_run_a7fe5fbd-4892-4398-ab1a-71337f923ed7]\\n- Research run: Production-readiness plan for ballbox-payment-integration [legacy_run_35bd54a1-0135-414e-9c6b-245fca772f54]\", \"format\": \"md\", \"status\": \"active\", \"source_ref\": \"personal-agent\", \"created_at\": \"2026-03-15T14:18:47.341454+00:00\", \"updated_at\": \"2026-03-15T14:18:47.341454+00:00\", \"metadata\": {\"route\": {\"codex_instruction\": \"\", \"delegation_target\": \"ai-dev-workflow\", \"planning_source\": \"fallback\", \"primary_agent\": \"code\", \"reason\": \"code work (repo)\", \"secondary_agent\": null}}}, {\"id\": \"art_1accabbcec71437d8592292c9e412153\", \"task_id\": \"task_ed6a38c1b49f4e829e067d49d206148b\", \"artifact_type\": \"handoff_result\", \"title\": \"Handoff result from ai-dev-workflow\", \"content\": \"{\\n  \\\"artifacts\\\": [],\\n  \\\"memory_id\\\": \\\"mem_04dc02a90cad40cc826ed1e8f93aff36\\\",\\n  \\\"status\\\": \\\"accepted\\\",\\n  \\\"summary\\\": \\\"ai-dev-workflow accepted the handoff and persisted intake context.\\\",\\n  \\\"task_id\\\": \\\"task_ed6a38c1b49f4e829e067d49d206148b\\\"\\n}\", \"format\": \"json\", \"status\": \"active\", \"source_ref\": \"ai-dev-workflow\", \"created_at\": \"2026-03-15T14:18:33.507460+00:00\", \"updated_at\": \"2026-03-15T14:18:33.507460+00:00\", \"metadata\": {\"handoff_id\": \"hof_d7a1028b907341fa93a5cb8cb460e2c7\"}}, {\"id\": \"art_39c706c5d09f421a9198fc938020c79f\", \"task_id\": \"task_ed6a38c1b49f4e829e067d49d206148b\", \"artifact_type\": \"plan\", \"title\": \"Execution Plan\", \"content\": \"# Plan for Smoke test after codex CLI fix: summarize current runtime health and suggest one safe internal ne...\\n\\n- Route: code\\n- Planning source: fallback\\n- Delegation target: ai-dev-workflow\\n\\n## Subtasks\\n- Inspect technical context\\n- Delegate code execution\\n- Summarize technical outcome\", \"format\": \"md\", \"status\": \"active\", \"source_ref\": \"personal-agent\", \"created_at\": \"2026-03-15T14:18:28.454377+00:00\", \"updated_at\": \"2026-03-15T14:18:28.454377+00:00\", \"metadata\": {\"route\": {\"codex_instruction\": \"\", \"delegation_target\": \"ai-dev-workflow\", \"planning_source\": \"fallback\", \"primary_agent\": \"code\", \"reason\": \"code work (fix)\", \"secondary_agent\": null}}}, {\"id\": \"art_8225d4c69b224564ba55a14f20519717\", \"task_id\": \"task_ed6a38c1b49f4e829e067d49d206148b\", \"artifact_type\": \"normalized_intent\", \"title\": \"Normalized Intent\", \"content\": \"Request: Smoke test after codex CLI fix: summarize current runtime health and suggest one safe internal next step only.\\nPrimary route: code\\nSecondary route: none\\nReason: code work (fix)\\nPlanning source: fallback\\nRelevant memory:\\n- Refactor runtime toward Codex-agentic orchestration [mem_runtime_agentic_refactor_priority]\\n- Research run: Analyze the best next steps to make ballbox-payment-integration production-ready [legacy_run_a7fe5fbd-4892-4398-ab1a-71337f923ed7]\\n- Sebas idea: custom AI solutions as alternative income [mem_sebas_custom_ai_solutions_income_idea]\", \"format\": \"md\", \"status\": \"active\", \"source_ref\": \"personal-agent\", \"created_at\": \"2026-03-15T14:18:28.453697+00:00\", \"updated_at\": \"2026-03-15T14:18:28.453697+00:00\", \"metadata\": {\"route\": {\"codex_instruction\": \"\", \"delegation_target\": \"ai-dev-workflow\", \"planning_source\": \"fallback\", \"primary_agent\": \"code\", \"reason\": \"code work (fix)\", \"secondary_agent\": null}}}, {\"id\": \"art_4b872101defe41188e12e81c2c5e0ffc\", \"task_id\": \"task_4a80a42f5d424f7191b151c3640db934\", \"artifact_type\": \"plan\", \"title\": \"Execution Plan\", \"content\": \"# Plan for Smoke test: summarize current V1 readiness and recommend the next safe internal step without exte...\\n\\n- Route: personal\\n- Planning source: fallback\\n\\n## Subtasks\\n- Clarify objective and constraints\\n- Gather context and evidence\\n- Produce final recommendation\", \"format\": \"md\", \"status\": \"active\", \"source_ref\": \"personal-agent\", \"created_at\": \"2026-03-15T14:16:55.509883+00:00\", \"updated_at\": \"2026-03-15T14:16:55.509883+00:00\", \"metadata\": {\"route\": {\"codex_instruction\": \"\", \"delegation_target\": null, \"planning_source\": \"fallback\", \"primary_agent\": \"personal\", \"reason\": \"default personal route\", \"secondary_agent\": null}}}, {\"id\": \"art_0f65fad23c6e4f698fa606feead854e1\", \"task_id\": \"task_4a80a42f5d424f7191b151c3640db934\", \"artifact_type\": \"normalized_intent\", \"title\": \"Normalized Intent\", \"content\": \"Request: Smoke test: summarize current V1 readiness and recommend the next safe internal step without external side effects.\\nPrimary route: personal\\nSecondary route: none\\nReason: default personal route\\nPlanning source: fallback\\nRelevant memory:\\n- Research run: Produce a production-readiness plan for ballbox-payment-integration [legacy_run_1f1a3fd4-eb28-4e99-891f-07c97243a06f]\\n- Refactor runtime toward Codex-agentic orchestration [mem_runtime_agentic_refactor_priority]\\n- Research run: Analyze the best next steps to make ballbox-payment-integration production-ready [legacy_run_a7fe5fbd-4892-4398-ab1a-71337f923ed7]\", \"format\": \"md\", \"status\": \"active\", \"source_ref\": \"personal-agent\", \"created_at\": \"2026-03-15T14:16:55.509067+00:00\", \"updated_at\": \"2026-03-15T14:16:55.509067+00:00\", \"metadata\": {\"route\": {\"codex_instruction\": \"\", \"delegation_target\": null, \"planning_source\": \"fallback\", \"primary_agent\": \"personal\", \"reason\": \"default personal route\", \"secondary_agent\": null}}}, {\"id\": \"art_f7fad73c89674ef1b9f9248c7b829ca1\", \"task_id\": \"task_afed9eaf504f42b99348a815d56148cc\", \"artifact_type\": \"closeout\", \"title\": \"V1 final closeout\", \"content\": \"# V1 Closeout\\n\\n## Outcome\\nV1 is complete.\\n\\n`personal-agent` now operates as the shared-memory front door with:\\n- shared operational state in `agents-database`\\n- intake planning and runtime orchestration backed by Codex outputs\\n- daemon/dashboard surfaces for status, blockers, approvals, and next actions\\n- approval resolution with automatic resume\\n- stable subagent handoff contract for `ai-dev-workflow` and `ballbox-company-agent`\\n- legacy bridge for old personal-agent research/task inspection\\n- documented sandbox write convention for canonical shared DB access\\n\\n## Verification\\n- local repo gate: `./scripts/run-checks.sh` passed with 26 tests\\n- direct suite: `python3 -m pytest tests/test_personal.py` passed with 26 tests\\n- PR CI: run `23112079488` passed on 2026-03-15 (`unit-tests`)\\n\\n## Runtime use cases covered by tests\\n- intake creates operational task, subtasks, and specialist handoff\\n- Codex planning path and fallback path\\n- worker terminal outcomes: `complete`, `needs_approval`, `blocked`\\n- approval resolution paths: `approved` resumes and completes; `rejected` stays blocked\\n- structured runtime actions: follow-up task, handoff, artifact\\n- dashboard snapshot enrichment: summary, next action, latest run, pending approval, route summary\\n- end-to-end flow: intake -> approval -> resume -> complete\\n- Codex command wiring includes `--add-dir /Users/sebas/agents-database`\\n- handoff dispatch completion persists result artifact\\n- preference blocker can resolve from memory without human input\\n- daemon API surface covers status, intake, blocker response, and approval resolution\\n- CLI accepts `--json` before or after subcommands\\n\\n## Scope boundary\\n- task `task_33d854e72d094660a2fb293a8723f5c5` is explicitly post-V1 follow-up, not a V1 blocker\\n- remaining work after V1 should continue as follow-up capabilities and operator hardening, not as part of this milestone\\n\", \"format\": \"md\", \"status\": \"active\", \"source_ref\": \"personal-agent\", \"created_at\": \"2026-03-15T14:13:45.050563+00:00\", \"updated_at\": \"2026-03-15T14:13:45.050563+00:00\", \"metadata\": {\"completed_on\": \"2026-03-15\", \"kind\": \"v1_closeout\", \"post_v1_followup_task_id\": \"task_33d854e72d094660a2fb293a8723f5c5\", \"verification\": {\"pr_ci_run_id\": \"23112079488\", \"pr_ci_status\": \"success\", \"pytest\": \"26 passed\", \"run_checks\": \"passed\"}}}, {\"id\": \"art_4151fdb5c75c48449199130022f7a909\", \"task_id\": \"task_eaf005df03fb441ab2b84df7ea05178d\", \"artifact_type\": \"continuation_brief\", \"title\": \"Phase 2 closeout brief\", \"content\": \"Phase 2 closeout:\\n- structured runtime actions implemented\\n- approval loop resolves and resumes\\n- execution_state snapshots persisted\\n- dashboard/status surfaces expose next actions and latest run state\\n- end-to-end runtime tests cover intake -> approval -> resume -> complete\\n\", \"format\": \"md\", \"status\": \"active\", \"source_ref\": \"personal-agent\", \"created_at\": \"2026-03-14T22:18:49.489775+00:00\", \"updated_at\": \"2026-03-14T22:18:49.489775+00:00\", \"metadata\": {\"kind\": \"phase2_closeout\"}}, {\"id\": \"art_b4b8c8b4bcc344ae81c206fa3ca57724\", \"task_id\": \"task_33d854e72d094660a2fb293a8723f5c5\", \"artifact_type\": \"task_note\", \"title\": \"Credential automation follow-up note\", \"content\": \"Low-priority follow-up. During multi-repo PR prep, git push and gh PR creation hit mixed-account behavior. Temporary workaround used direct credential injection. Future work should simplify and harden this flow instead of relying on manual recovery steps.\", \"format\": \"md\", \"status\": \"active\", \"source_ref\": \"personal-agent\", \"created_at\": \"2026-03-14T22:07:02.464680+00:00\", \"updated_at\": \"2026-03-14T22:07:02.464680+00:00\", \"metadata\": {\"kind\": \"followup_context\"}}]}, \"audit\": {\"schema_version\": \"shared-agent-memory-v2\", \"memories\": 223, \"tasks\": 39, \"approvals\": 0, \"handoffs\": 0, \"maintenance_jobs\": 3, \"legacy_memory_rows\": 0, \"legacy_task_rows\": 0}}\n\nROOT\n\n\nOPENAPI?\n"}],"isError":false,"timestamp":1777988702250}}
{"type":"message","id":"a7b555b1","parentId":"1a272a01","timestamp":"2026-05-05T13:45:02.253Z","message":{"role":"toolResult","toolCallId":"call_bTQg7QCVQOl7qteQl50hO0yL|fc_0d852cbc8d6115830169f9f45de4588194ab579f888979c45d","toolName":"bash","content":[{"type":"text","text":"sebas       1366    1289  0 10:07 ?        00:00:00 python3 -m shared_agent_memory.cli --db /mnt/rpi/agents-database/data/shared-agent-memory.sqlite3 serve-http --host 0.0.0.0 --port 8091\nsebas       1369    1289  0 10:07 ?        00:00:00 /mnt/rpi/agents-database/.venv/bin/python -m shared_agent_memory.cli --db /mnt/rpi/agents-database/data/shared-agent-memory.sqlite3 maintenance-daemon --interval-seconds 900 --jitter-seconds 60\nroot        1505    1273  0 10:07 ?        00:00:00 sudo -n -u sebas /usr/sbin/tailscaled serve-taildrive memory /home/sebas/agents-database/data\nsebas       1511    1505  0 10:07 ?        00:00:00 /usr/sbin/tailscaled serve-taildrive memory /home/sebas/agents-database/data\nsebas      12842   10916  0 10:45 ?        00:00:00 /bin/bash -c set -e ps -ef | grep -i '[a]gents-database' || true systemctl --no-pager --full status agents-database 2>/dev/null || true journalctl -u agents-database -n 40 --no-pager 2>/dev/null || true\n-- No entries --\n"}],"isError":false,"timestamp":1777988702253}}
{"type":"message","id":"7b364d5d","parentId":"a7b555b1","timestamp":"2026-05-05T13:45:08.427Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Evaluating recent runs**\n\nI need to check if I can summarize recent runs, maybe focusing on more than three of them. I could mention there aren't any systemd unit logs, but the processes are running well. Additionally, I'm considering looking into maintenance jobs or their last execution times. It might be ideal to utilize an API's recent runs endpoint or even inspect the repo. I think querying the SQLite database directly for the top runs and maintenance jobs could be simpler.","thinkingSignature":"{\"id\":\"rs_0d852cbc8d6115830169f9f45f29388194ac8dd67c1f99348e\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-fRi5h77qPAbnvrkXgWjtcQcRk7xSHO7G6i0BiCWoe7ZHvgECfjuf2sAYN-QtJll41I_kVkCojI1YZc_bPpO8Tnb_NVqHKO32Cc_Zjz4jhzXl77demnf0osULwnuGLzxFJiY7pgaSFBxxKGDGBWgDKtFV9U1EsdkkAF6jSX-5lo6ZOwyie5jx5LsVFYjjZAjyUYlaSk8y6_oya2Cyh3dYoISECNDZbYBxrZisAfQ4kdsjCuIGShYOYn1DOkSTtqr8BopdXRmbEfBoeA9U6CVPM82aGpfDUUfWVctahCW4urILELLcbTvVVAHyLpZIC0qHAHBZ1H9VapxO1dQ5ao8JIhN1kOrgcxyKyXdqPQpE24REpEpWxwTAwpNA5Y2ztviObf8bslgKQg8xnuNii09CH1CpIG3ek2-RfMHumS-XqA4viN9RvwamdE4f5g5FuGA25cCyaPyHrcz0C4NNuMZNcoJ3cS2r-gUOv2ZZI5wK32PpS8VGe5xzSnTb3gpBeqOWQPZp_dbbs_vrme2NQcgW3C57R-MeYr83sdRxZBmLORJM0ZH7ob5gxQjDYG-jKyIwyx0jc8NqSYd5JJpPfES4FiQ0HeqljW-hGqC6ZFb2TqhbWLkqNjy-GSSPhLc_VMVWT7kd5E_sXRlaxWVV-KXxBzHmcXP1zX9wAjBM9s02GyQlr40Qm-tQ4t3qo2x8n34Dpflcff9-ePMDTdxtMn52za8moS3boKXunD20Zoiap1tvvod9n5DWBcRq_4LTEsPcyHqMgedUNTytnYWmcaVbgAmud0KiipLdokj30zppI2LsbDzuWAJ4jO8q6JAg2xlHE5v1QHFDmjSydkA6el7rFzK9Yc4SRX-GdSuOfgkzoOw1Z0JmKcJ04AX5KgqZFDEb6i-FVwcdrlCaGdd3L8MTf3tJfouEusgYNTUfmWhq-Vl5dKN2MNBKFnFVGPJHEf46PvgW66_7_ZbbqiuxsOW1bzMHqnrH6RNHtTu766GX4SF1-DfhP_Ullwl47OO7yhJDT-ouEBZEZGRVHm6Z9WEVVCyqr5hq2plJihel4w8s8KZscV9FK2kGQK9zEtlLMqPPS9z4QSetGAVdEpjVvcn9RgJk9erC6a_Wm33D0KNPpeSdJ5JyRk5yVNoMwdbMhXCbYK3JZQToQjGGtsTy5k57x8zT0DGyL8CcVpBOERYhtFruJkhLQtXSo4syr9h8h1vHT37ui-PfAIZ7vIGtafG77028r3MJsetIlt5esueziRBmmrL9Q8_q35dQEWyvZm0Pso7Hxqa4c_aVMOGkn9CHNnLAsTDUqsRfvkM3zjE1zeNpVpSS332YCTo5nkOwEYwFPfcs9GTsMEGDzDz1wpcLbheDqNvXlwYqrgRl4yLVC6nHbY3BMo1Zl-RXd5-X--PfVyGwA9aiHuTPnf9Mt1xHw_vkg==\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Evaluating recent runs**\\n\\nI need to check if I can summarize recent runs, maybe focusing on more than three of them. I could mention there aren't any systemd unit logs, but the processes are running well. Additionally, I'm considering looking into maintenance jobs or their last execution times. It might be ideal to utilize an API's recent runs endpoint or even inspect the repo. I think querying the SQLite database directly for the top runs and maintenance jobs could be simpler.\"}]}"},{"type":"toolCall","id":"call_zXnKI5qXft0536IAhNudgvdB|fc_0d852cbc8d6115830169f9f462e620819491276b2c7a575213","name":"bash","arguments":{"command":"python3 - <<'PY'\nimport sqlite3, json\npath='/mnt/rpi/agents-database/data/shared-agent-memory.sqlite3'\nconn=sqlite3.connect(path)\nconn.row_factory=sqlite3.Row\nprint('RUNS')\nfor row in conn.execute(\"select id, task_id, agent_id, status, started_at, completed_at, substr(coalesce(result_summary,error_message,''),1,160) as summary from task_runs order by datetime(created_at) desc limit 8\"):\n    print(json.dumps(dict(row), ensure_ascii=False))\nprint('JOBS')\nfor row in conn.execute(\"select job_name, status, started_at, completed_at, items_processed, error_message from maintenance_jobs order by datetime(created_at) desc limit 5\"):\n    print(json.dumps(dict(row), ensure_ascii=False))\nPY","timeout":15}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":9368,"output":283,"cacheRead":3584,"cacheWrite":0,"totalTokens":13235,"cost":{"input":0.023420000000000003,"output":0.0042450000000000005,"cacheRead":0.000896,"cacheWrite":0,"total":0.028561000000000003}},"stopReason":"toolUse","timestamp":1777988702254,"responseId":"resp_0d852cbc8d6115830169f9f45e864c81948533736ec94fe8bc"}}
{"type":"message","id":"b54400f6","parentId":"7b364d5d","timestamp":"2026-05-05T13:45:08.483Z","message":{"role":"toolResult","toolCallId":"call_zXnKI5qXft0536IAhNudgvdB|fc_0d852cbc8d6115830169f9f462e620819491276b2c7a575213","toolName":"bash","content":[{"type":"text","text":"RUNS\n{\"id\": \"run_d37c8577c9674333b7157a945274385a\", \"task_id\": \"task_3d7271f7d19e456791b5796695fbe2fa\", \"agent_id\": \"personal-agent\", \"status\": \"completed\", \"started_at\": \"2026-03-15T14:21:34.691945+00:00\", \"completed_at\": \"2026-03-15T14:22:58.675711+00:00\", \"summary\": \"Local readiness is partial: repo docs and runtime surface exist, current status API works, but full verification is not yet proven in this sandbox.\"}\n{\"id\": \"run_ce032d1c6fbf4e3aa23a26df10d8d91f\", \"task_id\": \"task_46bb6d81471e47e39340198a889252a1\", \"agent_id\": \"personal-agent\", \"status\": \"failed\", \"started_at\": \"2026-03-15T14:19:23.634939+00:00\", \"completed_at\": \"2026-03-15T14:19:23.690219+00:00\", \"summary\": \"error: unexpected argument '--ask-for-approval' found\\n\\n  tip: to pass '--ask-for-approval' as a value, use '-- --ask-for-approval'\\n\\nUsage: codex exec --sandbox \"}\n{\"id\": \"run_d7ea2a60bbd74e9b8fdaa628115d7cbd\", \"task_id\": \"task_4a80a42f5d424f7191b151c3640db934\", \"agent_id\": \"personal-agent\", \"status\": \"failed\", \"started_at\": \"2026-03-15T14:16:58.205690+00:00\", \"completed_at\": \"2026-03-15T14:16:58.257806+00:00\", \"summary\": \"error: unexpected argument '--ask-for-approval' found\\n\\n  tip: to pass '--ask-for-approval' as a value, use '-- --ask-for-approval'\\n\\nUsage: codex exec --sandbox \"}\nJOBS\nTraceback (most recent call last):\n  File \"<stdin>\", line 9, in <module>\nsqlite3.OperationalError: no such column: job_name\n\n\nCommand exited with code 1"}],"details":{},"isError":true,"timestamp":1777988708483}}
{"type":"message","id":"bebba9fc","parentId":"b54400f6","timestamp":"2026-05-05T13:45:11.865Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Inspecting schema for maintenance jobs**\n\nI see that I need to inspect the schema for maintenance jobs. It’s important to ensure everything’s running smoothly. I’ll take a closer look at the structure, checking for any inconsistencies or areas that might need attention. After all, a good schema inspection can prevent potential problems down the line! So, let's get to it and figure out what needs to be done.","thinkingSignature":"{\"id\":\"rs_0d852cbc8d6115830169f9f465871c8194a973ddd7c9c8e05b\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-fRn4a6xFrfQQKyr5MsU6f2HlUBqb_hU3KOW2yb_MzXmE2WSr3WTqNRk29z-rV9W5YNhWGQnc5vXh3kUoQaXoCFodRgdWMfSOInA7pTiqNT1Kp2pT02P5btB51c-rOHmljM6VuoCtMC9LoYiT6aPIU77yOkZcnlJsHYHqpaT0GJNnYkzHYfTt2Vk_7ISY4gaxZWcfk3rjCKOVFtdYQRf4L4V204OeuJ7M0VGK0JTox32__KhhyV4h2X9xEa8Utp6Wwr4sMlY0UmJR-6kE8YS0MC-d2YyMpGcHGqGPSclDQ7KUwZ-TKxA6bygB4-iWlqQGZ05K4xZ8xGwH-sLf78hL5LEaezLVu_O0SbGjouLf3X2GXKL9T0ochvvzzsAbeW4XS5I8-GuQeIuTytFEm99HGrAo28n85woMxOpR-7B0yNlqZNHiYrjVYFHFxu0VqMS-lPQdg-J7XMwW0l7BgPP4g5bgqinMpXu4Vf3qJJK-7-uBfDlHNX0-CncLdQDaqwItQdUxMcSv2ZwjdVzRLeZ0_ZPQWC8j1C4uUZGBXfqbNoDJyzz9wNaOvzbi3KrD78QvJrDim_R3dXbmfwk1hk2gREYMOBGv29yVBUnpU-1tFNR3xp7uz31RpuOk6FdIjoUDn1ljRgW1e_tzecyJrx-IIJAN6ho9ZYqwOq_JJ8-RWCs5u71S1MyoVY-WOqqg2uA1enIsE91PdXoTtCHkrEDwHTfKZIcXmNhlnDetX8ppt2wkrvyNDtyPbGirgy19-smo-dXIqlxiy_-uOF3-PhE0Pr91Zs-KOHVcnVfpGOCyLShp1B8TSwHino3Vrx6vGGpX0u1ZSRTDEy2FI1XU9zs1wQzdbxP2UdMb8RgxL75toWtgajQhARkcdQkFOMPQtFMVLaP5V22mIDzsoGBXUmCQq_OFNV8any4sMfkBlLeWi76L9tJThfqR-kBjxHm4Z9d3OlsToKcoNJ-gYh1FtnFhU7tsA==\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Inspecting schema for maintenance jobs**\\n\\nI see that I need to inspect the schema for maintenance jobs. It’s important to ensure everything’s running smoothly. I’ll take a closer look at the structure, checking for any inconsistencies or areas that might need attention. After all, a good schema inspection can prevent potential problems down the line! So, let's get to it and figure out what needs to be done.\"}]}"},{"type":"toolCall","id":"call_QIT3PvSBPVGTuDNzHJ4egcHC|fc_0d852cbc8d6115830169f9f46773048194b47302c8349fb5ef","name":"bash","arguments":{"command":"python3 - <<'PY'\nimport sqlite3\nconn=sqlite3.connect('/mnt/rpi/agents-database/data/shared-agent-memory.sqlite3')\nfor row in conn.execute(\"pragma table_info(maintenance_jobs)\"):\n    print(row)\nPY","timeout":15}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":974,"output":90,"cacheRead":12800,"cacheWrite":0,"totalTokens":13864,"cost":{"input":0.002435,"output":0.00135,"cacheRead":0.0031999999999999997,"cacheWrite":0,"total":0.006985}},"stopReason":"toolUse","timestamp":1777988708484,"responseId":"resp_0d852cbc8d6115830169f9f464e2288194b3058c1fce5ea6bf"}}
{"type":"message","id":"fce45694","parentId":"bebba9fc","timestamp":"2026-05-05T13:45:11.903Z","message":{"role":"toolResult","toolCallId":"call_QIT3PvSBPVGTuDNzHJ4egcHC|fc_0d852cbc8d6115830169f9f46773048194b47302c8349fb5ef","toolName":"bash","content":[{"type":"text","text":"(0, 'id', 'TEXT', 0, None, 1)\n(1, 'job_type', 'TEXT', 1, None, 0)\n(2, 'cadence', 'TEXT', 1, None, 0)\n(3, 'interval_minutes', 'INTEGER', 0, None, 0)\n(4, 'window_start', 'TEXT', 0, None, 0)\n(5, 'window_end', 'TEXT', 0, None, 0)\n(6, 'next_due_at', 'TEXT', 1, None, 0)\n(7, 'last_run_at', 'TEXT', 0, None, 0)\n(8, 'last_status', 'TEXT', 0, None, 0)\n(9, 'last_summary', 'TEXT', 0, None, 0)\n(10, 'enabled', 'INTEGER', 1, '1', 0)\n(11, 'metadata_json', 'TEXT', 1, None, 0)\n(12, 'created_at', 'TEXT', 1, None, 0)\n(13, 'updated_at', 'TEXT', 1, None, 0)\n"}],"isError":false,"timestamp":1777988711903}}
{"type":"message","id":"56c0a579","parentId":"fce45694","timestamp":"2026-05-05T13:45:15.614Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_c2eA1bqRIwlwHtuEAmgGLdQB|fc_0d852cbc8d6115830169f9f468f6f881948bfce7a453a24078","name":"bash","arguments":{"command":"python3 - <<'PY'\nimport sqlite3, json\nconn=sqlite3.connect('/mnt/rpi/agents-database/data/shared-agent-memory.sqlite3')\nconn.row_factory=sqlite3.Row\nprint('MAINTENANCE')\nfor row in conn.execute(\"select id, job_type, cadence, interval_minutes, next_due_at, last_run_at, last_status, substr(coalesce(last_summary,''),1,160) as last_summary, enabled from maintenance_jobs order by datetime(updated_at) desc limit 5\"):\n    print(json.dumps(dict(row)))\nPY","timeout":15}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":816,"output":144,"cacheRead":13312,"cacheWrite":0,"totalTokens":14272,"cost":{"input":0.00204,"output":0.00216,"cacheRead":0.003328,"cacheWrite":0,"total":0.007528}},"stopReason":"toolUse","timestamp":1777988711903,"responseId":"resp_0d852cbc8d6115830169f9f46835888194a8fadb8c99577f3c"}}
{"type":"message","id":"7e01f612","parentId":"56c0a579","timestamp":"2026-05-05T13:45:15.654Z","message":{"role":"toolResult","toolCallId":"call_c2eA1bqRIwlwHtuEAmgGLdQB|fc_0d852cbc8d6115830169f9f468f6f881948bfce7a453a24078","toolName":"bash","content":[{"type":"text","text":"MAINTENANCE\n{\"id\": \"job_consolidation_daily_10\", \"job_type\": \"consolidation\", \"cadence\": \"daily\", \"interval_minutes\": null, \"next_due_at\": \"2026-05-06T10:00:00+00:00\", \"last_run_at\": \"2026-05-05T10:00:21.617623+00:00\", \"last_status\": \"completed\", \"last_summary\": \"consolidation completed\", \"enabled\": 1}\n{\"id\": \"job_consolidation_daily_15\", \"job_type\": \"consolidation\", \"cadence\": \"daily\", \"interval_minutes\": null, \"next_due_at\": \"2026-05-05T15:00:00+00:00\", \"last_run_at\": \"2026-05-04T15:01:30.515284+00:00\", \"last_status\": \"completed\", \"last_summary\": \"consolidation completed\", \"enabled\": 1}\n{\"id\": \"job_consolidation_weekly\", \"job_type\": \"consolidation\", \"cadence\": \"weekly\", \"interval_minutes\": null, \"next_due_at\": \"2026-05-07T17:32:27.534973+00:00\", \"last_run_at\": null, \"last_status\": null, \"last_summary\": \"\", \"enabled\": 1}\n"}],"isError":false,"timestamp":1777988715654}}
{"type":"message","id":"24e3ddd2","parentId":"7e01f612","timestamp":"2026-05-05T13:45:26.553Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_0d852cbc8d6115830169f9f46ca35081949bf48d0b88c70cb4\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-fRt9sZQFyxLQR99mS9zatR__4DV0ViO6h0oGx4bHDb2ioGAg3cZo3h2ofvicieVZ7SAnMzNTI8bJBeQjg_mdrEHaWHFzM7E2b3asEEgqMTNcSef5maE5n-8dIVNF42NkTU3gJwUOxyG8b_c-3mDI2lKNK4WjWjxUk82jaT9-iyYfbft196w4cPCD5RKnPCYqLcWSP7DZ2ldxBSNx9Q8wGIgzPTlxONA9gHFpz-0VxaR525x0PDQtpVGYQFIMQ3-d_I4TqLMD3Aju8Zs4CLlODaGV4gu2t-Dr6JMjcaEf2ivdtkwhUTi7j0m_tOyAlmPAMQjnAhlnoFNCUkD_8YJThPWgbP3KOkGtlmSuD327CE71DcpmBnyth6b_KM708ybGXKQs5PwQ0X9Txpf5l7N5mh3SBa_2v3fJyPGksyS8g97vb-Img4ZQZaV4oIvVUFy0puv6ywqoFnKe4puOY-2uSizOnSh3u3ySaMFk8u7E7gYsMEO8PgnJrRpbvur7leUqo_TprC8Sj5ZAPPEe9I_sozTe8zp_7ssAH9eGaD6HJyQ1kzcR9lv9xu4eEvJaTn6ysB9eH_fpCAcspwiD9FOOf-RSkPrcWE_yrbXFoCSIuJaPjr74K6hsVY0V7Mw1qxpJeCNEdRpCcw3ahHjFF6Z3HhDHLOqr6U6ZZmJj7Dyzj-lj1BwyulrPQGnGtRBXPn-ka4PNpHradtusmHsxPMVV0_G8ybywn4IJLG5FZs-ZhN5Q4ndynluA_8JvEu_AeJ8VyUwiDmQl5ovi9Jcc9q5rjGpC7IqwbmaeQ26zUG9-WG6KBZ6A3VF-xW_qkngEP50ykO8r2QBpabyv8fLQFHCyKW5PTB1AjA-IC4fjZneLz9dsOQiLujxixtirmuARN8sGPTEzKcKy9-vRizDRmo0xEYQSrlaFT3py43Cm5rf4r5rRO8t95iVZ04irmPYaGkqwYIb\",\"summary\":[]}"},{"type":"text","text":"Memory service up.\n\n- HTTP status: `ok=true`\n- DB: `/mnt/rpi/agents-database/data/shared-agent-memory.sqlite3`\n- Process up:\n  - API server on `:8091`\n  - maintenance daemon running\n  - taildrive export for data running\n\nCurrent counts:\n- memories: 223\n- tasks: 39\n- approvals: 0\n- maintenance jobs: 3\n\nLatest runs:\n1. `run_d37c8577c9674333b7157a945274385a` — completed  \n   - time: `2026-03-15 14:21 UTC`\n   - summary: local readiness partial; status API works; full verification not proven in that sandbox\n\n2. `run_ce032d1c6fbf4e3aa23a26df10d8d91f` — failed  \n   - time: `2026-03-15 14:19 UTC`\n   - cause: old `codex exec --ask-for-approval` flag no longer valid\n\n3. `run_d7ea2a60bbd74e9b8fdaa628115d7cbd` — failed  \n   - time: `2026-03-15 14:16 UTC`\n   - same cause: invalid `--ask-for-approval` flag\n\nMaintenance:\n- `job_consolidation_daily_10` ran today `2026-05-05 10:00 UTC` — completed\n- `job_consolidation_daily_15` last ran `2026-05-04 15:01 UTC` — completed\n- weekly consolidation exists, not run yet\n\nNotable:\n- no active approvals\n- one active open task in dashboard: GitHub credential automation follow-up\n- no systemd unit logs; service appears to be running as direct processes, not via `agents-database.service`\n\nIf you want, I can also pull:\n- latest memory ingests\n- latest task creations/updates\n- API health deeper than `/api/status`","textSignature":"{\"v\":1,\"id\":\"msg_0d852cbc8d6115830169f9f46d0f6481948f65c8d838317c2a\",\"phase\":\"final_answer\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":759,"output":439,"cacheRead":13824,"cacheWrite":0,"totalTokens":15022,"cost":{"input":0.0018975,"output":0.006585000000000001,"cacheRead":0.003456,"cacheWrite":0,"total":0.011938500000000001}},"stopReason":"stop","timestamp":1777988715655,"responseId":"resp_0d852cbc8d6115830169f9f46bf9cc8194be2021e494367b31"}}
{"type":"message","id":"ab2cec97","parentId":"24e3ddd2","timestamp":"2026-05-05T13:46:23.826Z","message":{"role":"user","content":[{"type":"text","text":"what about mid agent session memory updates or the ones after session end?"}],"timestamp":1777988783821}}
{"type":"message","id":"1b215114","parentId":"ab2cec97","timestamp":"2026-05-05T13:46:30.364Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Investigating memory updates**\n\nI need to figure out if I should gather the latest information on mid-agent session memory updates or those that happen after a session ends. It’s essential to understand whether the service is actually receiving these updates. I should probably check recent memory records and look for timestamps and types. Let’s think about querying the database for this metadata and see what I can find out!","thinkingSignature":"{\"id\":\"rs_0d852cbc8d6115830169f9f4b1bf9c819482e76722b09ca427\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-fS1OV4DTMjT2z9HaAAfWlCwA2pjBGbSGKknScVw1t2aV3Bm_v1i76TN_OsmPvIlw7T6A5PuycVaA6zqCsNilnT1-qTSse1HnGs56HgAHlh_wunGwuAQjeSeNhTK5YaL4MLQTN9e00miRsZvG2hum8BKK8cwpSXON98TV6K41iOonzxx0et1wL5HkRpyuTnKLsQ5VWE-DSCmYmYuY0SRgs6f2rmAPVDIoHfGw2kjX4Ad8c-K8a3atgoAIKkr9mSuCt32lDt5nMbnDjKjFQZ0iPh9wtPsr-Gn2qpkR_BHJSZ6Qnge1aJk3Ojp8shZrmXx3lvtERULjixsrEHd__TkhME-3NVl3m7iK8QuJ4mURxNXxFSPJNHewNVhNQURc5UhPt2Pv_QIDUhyUhXo6WmWGU9KiesBNajdxDsStMQe7Cbv97aMEOrPoUEBQviUkonCeTfdbjqJh6-8J4MmWKH_Q6KfOy6aL7n7SQ7SUFMIW3oFNQPmBOWF8zBJYkBHkvOS8snSZd9pOWno9ZrN0_XGVkIxrRSKTi7YofihJysjYBZTzSUw2FDquQxDopRSVhpmKDKZkJws1Av55ni_jCseXBqVUQBgZzh4Vdud02mTN_LWHtcb6b-_omOHyKnjV9L27XjHRbKTUorpeySNPspPfSnygMORBFdwsZBFF-_ysKoliF6FSf6GgApL4REjzt_MnPas9Talw_xAJhj5M-oH5gOIfxGV6S4P_VnrCnyFfvoS6THCl-YHgiknLDMfOzl5RtSCNGb7yrhy1M3JOfKvK00daANdIKVHFTRKOx6tkX-vxhPOMe6S5I0F4fttlOWwCzCn5Hi_GuXe4a3mwpdAZU218XNaWf8KYQrhAs2Pz82kAZP_r-UUJmL5E6_19Vvs9icYqO_SX2_OBKA80Lcmf4cn7e2P04f3iEXnW771IXotYfzUSSpvd5qaJhIe937qcWsIQO1Kn6t5UbMZR0UTGdRs2LM8JNQKtqn-5ailvNMZBZ4J7acbt_0vlZ29RDUuKX7zB_yYucwiwAQ_ivczyicpjzC6DNvkoZF5LXP7gd9BbCF12Q1oi5ovm8Qpvy3mkV1p9zW8cP90CHb7iooBedRfCCKC6PhVPF1irizEnH4xWWdeHTZHqFrLMcogj62ZFQSRHoG8zm8DvjGrxzZXwbBkJa4RVj4Zrn61yBJ46GcgkBqHwSVEnXQgRa2s-BRG0CsB6Cd_-mQTc7xAgFEIgTaxGEO1YI03PxC62Uu47bS3zgO7CAjHC__dCJgmhI3yDnc9ze_wmG6ERVgqj6x9ZeXfAEoK33ACxVrkFMCaoTl9XmB7sR1cwvqw_XQe-djQbUzHwWbafLCnhQmXszTLBmwau-1OuFpsHivztZZGYWaNbMc=\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Investigating memory updates**\\n\\nI need to figure out if I should gather the latest information on mid-agent session memory updates or those that happen after a session ends. It’s essential to understand whether the service is actually receiving these updates. I should probably check recent memory records and look for timestamps and types. Let’s think about querying the database for this metadata and see what I can find out!\"}]}"},{"type":"toolCall","id":"call_K2KdvZfWoZChyDEE5xW7KSlT|fc_0d852cbc8d6115830169f9f4b513508194b87af3b6de2db65e","name":"bash","arguments":{"command":"python3 - <<'PY'\nimport sqlite3, json\nconn=sqlite3.connect('/mnt/rpi/agents-database/data/shared-agent-memory.sqlite3')\nconn.row_factory=sqlite3.Row\nprint('RECENT_MEMORIES')\nfor row in conn.execute(\"select id, memory_type, title, source_ref, created_at, updated_at, substr(content,1,140) as preview from memories order by datetime(updated_at) desc limit 12\"):\n    print(json.dumps(dict(row), ensure_ascii=False))\nPY","timeout":15}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":11265,"output":199,"cacheRead":3584,"cacheWrite":0,"totalTokens":15048,"cost":{"input":0.028162500000000004,"output":0.0029850000000000002,"cacheRead":0.000896,"cacheWrite":0,"total":0.0320435}},"stopReason":"toolUse","timestamp":1777988783822,"responseId":"resp_0d852cbc8d6115830169f9f4b034cc819481b08bf1fc7f8d89"}}
{"type":"message","id":"f15b04c1","parentId":"1b215114","timestamp":"2026-05-05T13:46:30.424Z","message":{"role":"toolResult","toolCallId":"call_K2KdvZfWoZChyDEE5xW7KSlT|fc_0d852cbc8d6115830169f9f4b513508194b87af3b6de2db65e","toolName":"bash","content":[{"type":"text","text":"RECENT_MEMORIES\nTraceback (most recent call last):\n  File \"<stdin>\", line 5, in <module>\nsqlite3.OperationalError: no such column: memory_type\n\n\nCommand exited with code 1"}],"details":{},"isError":true,"timestamp":1777988790424}}
{"type":"message","id":"053e4bc7","parentId":"f15b04c1","timestamp":"2026-05-05T13:46:34.718Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_0d852cbc8d6115830169f9f4b8ff1c8194bb9947f511fc919c\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-fS5MxoNlxXvXYYcpRbTIT8BkdeVt1aE48G7pC--imWTzGIksrr0m3AgRkzjn4BCKjaB9379esFv5nvQuY-PWYixH0opitj2BjByULMUn8FQWg9l5lWRhEiNT6svfNuG7Za3PDp3t5niIFDeIQOnnhcKSpaS5_DJGPVQzm6KAzDrq-hPaLPTa3C9WuB2cZhnCZfD754cmN7oHYwBiwr4LmdI0QhI_cmDGc9Koj1b72o8ENgM9S0k74qiZfClKoNZe_U-FQKjP5Knqe2aG_lEAbQf55nEZLap8laL4Z312PBEGSk90XgddHJ8QxxcXhENMeljPuWoHN_6ZmqookA6URMzhjYaKtkvzEbVWaU2H748Z2A1jFleo1imqSsePzne7-Bt0cSnfkb8emdC76PqCXqWBWqazej3bgPMI8-d9oA30I53d7fSQ4IeJH7IsLk2avV9KU2E9CNdYC-fuNg1lO75Gqac1zoz5ENAUAt4GqxgVXspWuxkSkcV6JjRIH7qVbUUDfzrZ6EB9_e7VxFS_J-YCy4iYUWD3E6_RixGZpa_mAnLICncESRHB4odx7AhyZNE_4_sLX9TzM_NAgA5VRKqohm2zHRvYgLvBRFOz1hbm1q7K94jYFN4EmboY3MS75SIFK105JK_0Io6KREZQoAR7ed3pBQYJO9gvWYDbul010IE9HAlBqT8l_XgrVqGuKmtFhrMrnqYZN5Fw9pcOWrzW_Mhq46eJ0gKyyKBlMx-KSRQcgSLH5U4ZXJBBWHI3zDE4t_t1-JZh2-kGZ__D89jtrS5AczCuSAiXCsdiGJbG6tLL3RePtzQzxatNNk7xcDdHSGUp5xf1rN6Sm4dCpoXYtKttI4YVRGMiJQhuX19ZRO8bLMuEJ7LY2kr5DVOzIZ8DuWDr_CHstawdtSDUaDJs-TdvBEjTF0cDBUMbcebVw4=\",\"summary\":[]}"},{"type":"toolCall","id":"call_N6ZSDnwMbzZ8QIb3xPIk72Ov|fc_0d852cbc8d6115830169f9f4b9a4f481948ad4c73448a14c79","name":"bash","arguments":{"command":"python3 - <<'PY'\nimport sqlite3\nconn=sqlite3.connect('/mnt/rpi/agents-database/data/shared-agent-memory.sqlite3')\nfor row in conn.execute(\"pragma table_info(memories)\"):\n    print(row)\nPY","timeout":15}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":768,"output":85,"cacheRead":14336,"cacheWrite":0,"totalTokens":15189,"cost":{"input":0.0019200000000000003,"output":0.001275,"cacheRead":0.003584,"cacheWrite":0,"total":0.006779}},"stopReason":"toolUse","timestamp":1777988790424,"responseId":"resp_0d852cbc8d6115830169f9f4b7a4148194b63c76c0037d38c6"}}
{"type":"message","id":"e843ebb4","parentId":"053e4bc7","timestamp":"2026-05-05T13:46:34.765Z","message":{"role":"toolResult","toolCallId":"call_N6ZSDnwMbzZ8QIb3xPIk72Ov|fc_0d852cbc8d6115830169f9f4b9a4f481948ad4c73448a14c79","toolName":"bash","content":[{"type":"text","text":"(0, 'id', 'TEXT', 0, None, 1)\n(1, 'type', 'TEXT', 1, None, 0)\n(2, 'scope', 'TEXT', 1, None, 0)\n(3, 'status', 'TEXT', 1, None, 0)\n(4, 'project_id', 'TEXT', 0, None, 0)\n(5, 'repo_id', 'TEXT', 0, None, 0)\n(6, 'agent_id', 'TEXT', 0, None, 0)\n(7, 'source_kind', 'TEXT', 1, None, 0)\n(8, 'title', 'TEXT', 1, None, 0)\n(9, 'content', 'TEXT', 1, None, 0)\n(10, 'summary', 'TEXT', 1, None, 0)\n(11, 'confidence', 'REAL', 1, None, 0)\n(12, 'freshness', 'REAL', 1, None, 0)\n(13, 'created_at', 'TEXT', 1, None, 0)\n(14, 'updated_at', 'TEXT', 1, None, 0)\n(15, 'observed_at', 'TEXT', 1, None, 0)\n(16, 'source_ref', 'TEXT', 0, None, 0)\n(17, 'evidence_ref', 'TEXT', 0, None, 0)\n(18, 'embedding_json', 'TEXT', 0, None, 0)\n(19, 'metadata_json', 'TEXT', 1, None, 0)\n(20, 'schema_version', 'TEXT', 1, \"'shared-agent-memory-v2'\", 0)\n(21, 'subtype', 'TEXT', 0, None, 0)\n(22, 'run_id', 'TEXT', 0, None, 0)\n(23, 'task_id', 'TEXT', 0, None, 0)\n(24, 'url', 'TEXT', 0, None, 0)\n(25, 'domain', 'TEXT', 0, None, 0)\n(26, 'origin_agent', 'TEXT', 0, None, 0)\n"}],"isError":false,"timestamp":1777988794765}}
{"type":"message","id":"85bbee39","parentId":"e843ebb4","timestamp":"2026-05-05T13:46:38.717Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_IEsNrkFguPVPRHLz1vQleZ5o|fc_0d852cbc8d6115830169f9f4bc40348194b23a30b07010248e","name":"bash","arguments":{"command":"python3 - <<'PY'\nimport sqlite3, json\nconn=sqlite3.connect('/mnt/rpi/agents-database/data/shared-agent-memory.sqlite3')\nconn.row_factory=sqlite3.Row\nfor row in conn.execute(\"select id, type, scope, title, origin_agent, source_kind, run_id, task_id, source_ref, created_at, updated_at, substr(summary,1,120) as summary from memories order by datetime(updated_at) desc limit 15\"):\n    print(json.dumps(dict(row), ensure_ascii=False))\nPY","timeout":15}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":835,"output":139,"cacheRead":14848,"cacheWrite":0,"totalTokens":15822,"cost":{"input":0.0020875000000000004,"output":0.002085,"cacheRead":0.003712,"cacheWrite":0,"total":0.007884500000000001}},"stopReason":"toolUse","timestamp":1777988794766,"responseId":"resp_0d852cbc8d6115830169f9f4bb1314819496bca68ac25dd162"}}
{"type":"message","id":"540a976c","parentId":"85bbee39","timestamp":"2026-05-05T13:46:38.788Z","message":{"role":"toolResult","toolCallId":"call_IEsNrkFguPVPRHLz1vQleZ5o|fc_0d852cbc8d6115830169f9f4bc40348194b23a30b07010248e","toolName":"bash","content":[{"type":"text","text":"{\"id\": \"mem_3c62253993584122a81f9a21de4acc33\", \"type\": \"artifact\", \"scope\": \"global\", \"title\": \"ballbox-first microSD migration handoff\", \"origin_agent\": \"personal-agent\", \"source_kind\": \"manual\", \"run_id\": null, \"task_id\": null, \"source_ref\": \"file:/home/sebas/microsd-migration-handoff.md\", \"created_at\": \"2026-05-04T21:29:59.519213+00:00\", \"updated_at\": \"2026-05-04T21:29:59.519213+00:00\", \"summary\": \"Created full migration handoff for moving ballbox-first from current 16GB microSD to a new 64GB microSD. Recommended pat\"}\n{\"id\": \"mem_90f4bcce6d284ed0b6f6edb9a6ec6cc2\", \"type\": \"decision\", \"scope\": \"global\", \"title\": \"Prefer session-end memory writes\", \"origin_agent\": \"personal-agent\", \"source_kind\": \"manual\", \"run_id\": null, \"task_id\": null, \"source_ref\": \"conversation:2026-05-01\", \"created_at\": \"2026-05-01T19:46:36.793893+00:00\", \"updated_at\": \"2026-05-01T19:46:36.793893+00:00\", \"summary\": \"Prefer storing durable memories at session end via session analysis instead of mid-conversation. Write mid-conversation \"}\n{\"id\": \"mem_69278f6716654a3c8fc5db37f97d2a6c\", \"type\": \"profile\", \"scope\": \"global\", \"title\": \"Follow-up instructions go to todo first\", \"origin_agent\": \"personal-agent\", \"source_kind\": \"manual\", \"run_id\": null, \"task_id\": null, \"source_ref\": \"conversation:2026-05-01\", \"created_at\": \"2026-05-01T19:45:29.105695+00:00\", \"updated_at\": \"2026-05-01T19:45:29.105695+00:00\", \"summary\": \"Sebas prefers that follow-up instructions during an active task be added to the todo list first instead of derailing int\"}\n{\"id\": \"mem_b9dfde5e35a84944b86841b537be2b4c\", \"type\": \"project\", \"scope\": \"global\", \"title\": \"Vibes service needs provider env\", \"origin_agent\": \"personal-agent\", \"source_kind\": \"manual\", \"run_id\": null, \"task_id\": null, \"source_ref\": null, \"created_at\": \"2026-05-01T16:08:52.128088+00:00\", \"updated_at\": \"2026-05-01T16:08:52.128088+00:00\", \"summary\": \"On ballbox-first, Vibes runs as /etc/systemd/system/vibes.service and needs OPENROUTER_API_KEY via EnvironmentFile /etc/\"}\n{\"id\": \"mem_4b3428254ffb442ca1762d1a5895100d\", \"type\": \"episode\", \"scope\": \"global\", \"title\": \"Installed Vibes on ballbox-first\", \"origin_agent\": \"personal-agent\", \"source_kind\": \"manual\", \"run_id\": null, \"task_id\": null, \"source_ref\": \"conversation:2026-05-01:vibes-install\", \"created_at\": \"2026-05-01T04:56:36.842289+00:00\", \"updated_at\": \"2026-05-01T04:56:36.842289+00:00\", \"summary\": \"Installed rcarmo/vibes at /mnt/rpi/apps/vibes. Built local binary with subpath support for /vibes/, created systemd serv\"}\n{\"id\": \"mem_ebbca254ff484623b6d63073ee758d8d\", \"type\": \"decision\", \"scope\": \"global\", \"title\": \"pi-tau-mux stale ctx fix in tau-client\", \"origin_agent\": \"personal-agent\", \"source_kind\": \"manual\", \"run_id\": null, \"task_id\": null, \"source_ref\": \"conversation:2026-05-01:/new-stale-ctx\", \"created_at\": \"2026-05-01T04:46:27.346689+00:00\", \"updated_at\": \"2026-05-01T04:46:27.346689+00:00\", \"summary\": \"Local hotfix on ballbox-first: /home/sebas/.npm-global/lib/node_modules/pi-tau-mux/extensions/tau-client.ts now avoids c\"}\n{\"id\": \"mem_6485e21fbc354ebf98cea3fa5a1cc6e6\", \"type\": \"episode\", \"scope\": \"global\", \"title\": \"agents-database maintenance wrapper fix\", \"origin_agent\": null, \"source_kind\": \"manual\", \"run_id\": null, \"task_id\": null, \"source_ref\": \"conversation:2026-04-30:maintenance-wrapper-fix\", \"created_at\": \"2026-04-30T23:53:17.928610+00:00\", \"updated_at\": \"2026-04-30T23:53:17.928610+00:00\", \"summary\": \"On branch feat/memory-promotion-automation-clean, automatic maintenance was broken because scripts/run-maintenance-daemo\"}\n{\"id\": \"mem_94ec049a0b6345ad9e54746c62a51908\", \"type\": \"decision\", \"scope\": \"global\", \"title\": \"Native tmux pi batch jobs for one-prompt subagents\", \"origin_agent\": \"personal-agent\", \"source_kind\": \"manual\", \"run_id\": null, \"task_id\": null, \"source_ref\": \"conversation:2026-04-30\", \"created_at\": \"2026-04-30T23:34:35.028872+00:00\", \"updated_at\": \"2026-04-30T23:34:35.028872+00:00\", \"summary\": \"Use native tmux-backed jobs instead of agent-start for one-prompt subagent runs when exact cwd matters. Run pi --no-exte\"}\n{\"id\": \"mem_be158f743dcc43c2a38b3bb6ca348352\", \"type\": \"artifact\", \"scope\": \"repo\", \"title\": \"Vending setup day manual added\", \"origin_agent\": \"personal-agent\", \"source_kind\": \"manual\", \"run_id\": null, \"task_id\": null, \"source_ref\": \"docs/vending-machine-setup-day-manual.md\", \"created_at\": \"2026-04-30T19:20:49.492199+00:00\", \"updated_at\": \"2026-04-30T19:20:49.492199+00:00\", \"summary\": \"Repo now has docs/vending-machine-setup-day-manual.md: a setup-day runbook for first TCN machine arrival covering receiv\"}\n{\"id\": \"legacy_run_9fdccb34-cf1e-47bd-b133-a224f363a6d4\", \"type\": \"episode\", \"scope\": \"global\", \"title\": \"Research run: Investigate personal assistant patterns\", \"origin_agent\": \"personal-agent\", \"source_kind\": \"run\", \"run_id\": \"9fdccb34-cf1e-47bd-b133-a224f363a6d4\", \"task_id\": null, \"source_ref\": \"personal-agent:run:9fdccb34-cf1e-47bd-b133-a224f363a6d4\", \"created_at\": \"2026-03-13T14:01:39.630931+00:00\", \"updated_at\": \"2026-04-30T17:32:27.368015+00:00\", \"summary\": \"Seeded baseline run for personal-agent verification.\"}\n{\"id\": \"legacy_run_a8512264-8cd5-4c3c-b62f-7528625227f1\", \"type\": \"episode\", \"scope\": \"global\", \"title\": \"Research run: Verify capture-url flow\", \"origin_agent\": \"personal-agent\", \"source_kind\": \"run\", \"run_id\": \"a8512264-8cd5-4c3c-b62f-7528625227f1\", \"task_id\": null, \"source_ref\": \"personal-agent:run:a8512264-8cd5-4c3c-b62f-7528625227f1\", \"created_at\": \"2026-03-13T14:01:39.632489+00:00\", \"updated_at\": \"2026-04-30T17:32:27.368368+00:00\", \"summary\": \"Verify capture-url flow\"}\n{\"id\": \"legacy_run_55b6eaa0-9ff5-438c-a375-50f0452079cb\", \"type\": \"episode\", \"scope\": \"global\", \"title\": \"Research run: Drive Ballbox payment integration toward Volvox-style demo on vending machine Android flow\", \"origin_agent\": \"personal-agent\", \"source_kind\": \"run\", \"run_id\": \"55b6eaa0-9ff5-438c-a375-50f0452079cb\", \"task_id\": null, \"source_ref\": \"personal-agent:run:55b6eaa0-9ff5-438c-a375-50f0452079cb\", \"created_at\": \"2026-03-13T14:01:39.633673+00:00\", \"updated_at\": \"2026-04-30T17:32:27.368445+00:00\", \"summary\": \"Drive Ballbox payment integration toward Volvox-style demo on vending machine Android flow\"}\n{\"id\": \"legacy_run_bfe3ad5d-ed7c-4727-bd72-7b9f5b7b0cc7\", \"type\": \"episode\", \"scope\": \"global\", \"title\": \"Research run: Source 50+ inch China displays for Ballbox advertising in padel venues\", \"origin_agent\": \"personal-agent\", \"source_kind\": \"run\", \"run_id\": \"bfe3ad5d-ed7c-4727-bd72-7b9f5b7b0cc7\", \"task_id\": null, \"source_ref\": \"personal-agent:run:bfe3ad5d-ed7c-4727-bd72-7b9f5b7b0cc7\", \"created_at\": \"2026-03-13T14:01:39.634873+00:00\", \"updated_at\": \"2026-04-30T17:32:27.368506+00:00\", \"summary\": \"Source 50+ inch China displays for Ballbox advertising in padel venues\"}\n{\"id\": \"legacy_run_8248124f-5145-475f-a3c7-a37b619abfa0\", \"type\": \"episode\", \"scope\": \"global\", \"title\": \"Research run: Test intake flow\", \"origin_agent\": \"personal-agent\", \"source_kind\": \"run\", \"run_id\": \"8248124f-5145-475f-a3c7-a37b619abfa0\", \"task_id\": null, \"source_ref\": \"personal-agent:run:8248124f-5145-475f-a3c7-a37b619abfa0\", \"created_at\": \"2026-03-13T14:01:39.636174+00:00\", \"updated_at\": \"2026-04-30T17:32:27.368568+00:00\", \"summary\": \"Test intake flow\"}\n{\"id\": \"legacy_run_b07bc538-5cab-4243-a1d3-c7a7fa55a0a7\", \"type\": \"episode\", \"scope\": \"global\", \"title\": \"Research run: Drive ballbox-payment-integration to a demoable vending-machine QR payment flow\", \"origin_agent\": \"personal-agent\", \"source_kind\": \"run\", \"run_id\": \"b07bc538-5cab-4243-a1d3-c7a7fa55a0a7\", \"task_id\": null, \"source_ref\": \"personal-agent:run:b07bc538-5cab-4243-a1d3-c7a7fa55a0a7\", \"created_at\": \"2026-03-13T14:01:39.637766+00:00\", \"updated_at\": \"2026-04-30T17:32:27.368626+00:00\", \"summary\": \"Drive ballbox-payment-integration to a demoable vending-machine QR payment flow\"}\n"}],"isError":false,"timestamp":1777988798787}}
{"type":"message","id":"7dd475b2","parentId":"540a976c","timestamp":"2026-05-05T13:46:49.527Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Exploring session memory updates**\n\nI need to address the question about mid-agent session memory updates and those after a session ends. The user likely wants to know the status of these updates. I can infer from recent memories and possibly inspect code or documentation to see if any automation exists for session-end updates. It seems that recent writes are mostly manual rather than automated during or after a session. I'll check if the source kind or run ID indicates any automation and query recent memories for more clarity.","thinkingSignature":"{\"id\":\"rs_0d852cbc8d6115830169f9f4bfe05881948c485dfe9fd80756\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-fTIGNMBG1BQA6kXy7EdOUGagpsp7qhg7rktkl-hyXbWsvYqoloX4EM6dsMmgMs-XvoFF48Kw2vLEa_U2GWkPlzz0oX3Q2ZeUQ20EjFWspbiD5bes1uDwQBuopKDY7Xf3wgQ0GSKY98RQCKJHJhg0rU8YAH0Hv5B63msDoNc5nvihc7jHI9hYOG_MAnV-wQ12PdVGW4UX91khlz89G2XotV0IwtBvmY6MYSXzw5ytEXVujIeN78A0DuN6Azt0bPhPhiKImsArz2hvZXWXDdCgZD644xI-OzMFK64o7Qy1Q1A6CNMORA3wv0z4wTYIDqt0j9FzNuQRHgFELQ-kVXT4TGiJBTpZbKy3uKvQoVVdVGQuod7ZpnYTCEPOgZevaQKZWo0xQJjDnEbW-qK2nBkKG6iD4BIQdWLm04RLyaS9U9BBLbUubjT1UL2CkJ3fHD52b12X7voFqcpuU_8KlzzR1i53peRlrfx5UFN27ZcUhcA0GkZAgLfgxS-Acg2jpvlGV9VJUYg9e0a8R6cEYlte8WMa5rHd3OcxFtS_FEWxKVvJLVz2NMcbka6rRtM4_tbIHfZK8X5iRP5a8BbX0GyOHTFaIrSxBE_HklyLIRDjhBzMppGH0t0fje8fnduNzs61liIhWp9G06o9NRfmDAkBMR2_1Hzlx7n0gjDMecWPAoclhy9loZBaOiLQp7l5SKbe90EEAMVIbkD9hCeKpmUa61_QIYDDkEsiceIXTHqxEanjI3LnBfjjOmQkAtq5wo3wUTsUgsb53nQK-2axQ3CiUT_ZXB8CvIGCBgC6SrP0mT66DbTZZVBGZhTPEZa6jbZbAKHrt6AH5twffw_forVpGlFjdqtb-A7bznoXT5a_NB-vNx06UOVw3dWDOtuw7lWi8JYB501XCGeDFwhCTsczBBlj-NnUI3fnXZQgt7MG35t1fm1-rQQDejxf9B6GUy6ihrMPuVscuCnmEm-O9VKVEHw_peiaO7C8V3T-qn4jWjE3OvpNnrhfBRdSwcgOUKQIiUxlnUikTLqGPf0YvyUxQXDgwzWI-lxgyjF8adjHzHJZ_Eb997GcBCkI2aPPX3btCExpzAHiBdUk69W6s-qmAq7vd_Y7-jB-kA4pRqMV-phVbdF-rgtuCim8B6Zz6-AhPL4OkGVuhEDXlKPeOjo_S53C7oDa_27ctc8STd3_9WsSliEJqo7gGRkwELXELm48jFtH2QWanJD8VcYVYTQtjx7DdBP7gGCd0xK2rL6huZJkdy5L2Rg1-2wUng9wjU_gdZS1o3k9UFIg-dqfoj78aflAPUs48JdddxqJK9w5Gjvo8kCK5bVz_Ij_jlpg3UIF2hK7bBRRIMvuG9vxIqufdgclveZ8bGaI7QYn1kjUT1jSzrlI5_D-0cArr8ZTHZQrSBD6cbeUUWr3j8v4hCOTlDUvz81LkFyAdFmAaViBlhD34OZA74I6aYct6dWE90vrfZHk7MljNeiP3lTky6PImDCYQAv78rZLyoHCfkCk3n3xi75QoqLsVut2tbYnKwqRIfCED2gcduaH6dwcgD5syjnXWigBxbieg4_YCwLbpdbkyXsfyYV_-s5sp0QInDRBvFwapf01uAUF7dzPq3PKRoTEk-5l5mfCeYvztP_4uISBME=\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Exploring session memory updates**\\n\\nI need to address the question about mid-agent session memory updates and those after a session ends. The user likely wants to know the status of these updates. I can infer from recent memories and possibly inspect code or documentation to see if any automation exists for session-end updates. It seems that recent writes are mostly manual rather than automated during or after a session. I'll check if the source kind or run ID indicates any automation and query recent memories for more clarity.\"}]}"},{"type":"toolCall","id":"call_OtsUlUKCryI86VMjacbq9dF2|fc_0d852cbc8d6115830169f9f4c8c64881948cc43c71542f388b","name":"bash","arguments":{"command":"python3 - <<'PY'\nimport sqlite3, json\nconn=sqlite3.connect('/mnt/rpi/agents-database/data/shared-agent-memory.sqlite3')\nconn.row_factory=sqlite3.Row\nprint('COUNTS_BY_SOURCE_KIND')\nfor row in conn.execute(\"select source_kind, count(*) c from memories group by source_kind order by c desc\"):\n    print(dict(row))\nprint('\\nRECENT_WITH_RUN_OR_TASK')\nfor row in conn.execute(\"select id, type, title, origin_agent, source_kind, run_id, task_id, created_at from memories where run_id is not null or task_id is not null order by datetime(updated_at) desc limit 12\"):\n    print(json.dumps(dict(row), ensure_ascii=False))\nPY","timeout":15}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":3294,"output":297,"cacheRead":15360,"cacheWrite":0,"totalTokens":18951,"cost":{"input":0.008235000000000001,"output":0.004455,"cacheRead":0.0038399999999999997,"cacheWrite":0,"total":0.01653}},"stopReason":"toolUse","timestamp":1777988798789,"responseId":"resp_0d852cbc8d6115830169f9f4bf2d3481949b4a118b2f81e08d"}}
{"type":"message","id":"fd4de1c2","parentId":"7dd475b2","timestamp":"2026-05-05T13:46:49.597Z","message":{"role":"toolResult","toolCallId":"call_OtsUlUKCryI86VMjacbq9dF2|fc_0d852cbc8d6115830169f9f4c8c64881948cc43c71542f388b","toolName":"bash","content":[{"type":"text","text":"COUNTS_BY_SOURCE_KIND\n{'source_kind': 'manual', 'c': 187}\n{'source_kind': 'document', 'c': 22}\n{'source_kind': 'run', 'c': 14}\n\nRECENT_WITH_RUN_OR_TASK\n{\"id\": \"legacy_run_9fdccb34-cf1e-47bd-b133-a224f363a6d4\", \"type\": \"episode\", \"title\": \"Research run: Investigate personal assistant patterns\", \"origin_agent\": \"personal-agent\", \"source_kind\": \"run\", \"run_id\": \"9fdccb34-cf1e-47bd-b133-a224f363a6d4\", \"task_id\": null, \"created_at\": \"2026-03-13T14:01:39.630931+00:00\"}\n{\"id\": \"legacy_run_a8512264-8cd5-4c3c-b62f-7528625227f1\", \"type\": \"episode\", \"title\": \"Research run: Verify capture-url flow\", \"origin_agent\": \"personal-agent\", \"source_kind\": \"run\", \"run_id\": \"a8512264-8cd5-4c3c-b62f-7528625227f1\", \"task_id\": null, \"created_at\": \"2026-03-13T14:01:39.632489+00:00\"}\n{\"id\": \"legacy_run_55b6eaa0-9ff5-438c-a375-50f0452079cb\", \"type\": \"episode\", \"title\": \"Research run: Drive Ballbox payment integration toward Volvox-style demo on vending machine Android flow\", \"origin_agent\": \"personal-agent\", \"source_kind\": \"run\", \"run_id\": \"55b6eaa0-9ff5-438c-a375-50f0452079cb\", \"task_id\": null, \"created_at\": \"2026-03-13T14:01:39.633673+00:00\"}\n{\"id\": \"legacy_run_bfe3ad5d-ed7c-4727-bd72-7b9f5b7b0cc7\", \"type\": \"episode\", \"title\": \"Research run: Source 50+ inch China displays for Ballbox advertising in padel venues\", \"origin_agent\": \"personal-agent\", \"source_kind\": \"run\", \"run_id\": \"bfe3ad5d-ed7c-4727-bd72-7b9f5b7b0cc7\", \"task_id\": null, \"created_at\": \"2026-03-13T14:01:39.634873+00:00\"}\n{\"id\": \"legacy_run_8248124f-5145-475f-a3c7-a37b619abfa0\", \"type\": \"episode\", \"title\": \"Research run: Test intake flow\", \"origin_agent\": \"personal-agent\", \"source_kind\": \"run\", \"run_id\": \"8248124f-5145-475f-a3c7-a37b619abfa0\", \"task_id\": null, \"created_at\": \"2026-03-13T14:01:39.636174+00:00\"}\n{\"id\": \"legacy_run_b07bc538-5cab-4243-a1d3-c7a7fa55a0a7\", \"type\": \"episode\", \"title\": \"Research run: Drive ballbox-payment-integration to a demoable vending-machine QR payment flow\", \"origin_agent\": \"personal-agent\", \"source_kind\": \"run\", \"run_id\": \"b07bc538-5cab-4243-a1d3-c7a7fa55a0a7\", \"task_id\": null, \"created_at\": \"2026-03-13T14:01:39.637766+00:00\"}\n{\"id\": \"legacy_run_2c54c32b-3cf1-426b-98a6-9c43971573ff\", \"type\": \"episode\", \"title\": \"Research run: Find China-sourced 50+ inch displays for Ballbox advertising in covered padel clubs\", \"origin_agent\": \"personal-agent\", \"source_kind\": \"run\", \"run_id\": \"2c54c32b-3cf1-426b-98a6-9c43971573ff\", \"task_id\": null, \"created_at\": \"2026-03-13T14:01:39.638922+00:00\"}\n{\"id\": \"legacy_run_fbe3fc0d-b05c-455e-9afe-1b17b4640d97\", \"type\": \"episode\", \"title\": \"Research run: Responder a Codex sin salir de una película en fullscreen, con UI mínima y poco intrusiva, y evaluar cómo implementarlo\", \"origin_agent\": \"personal-agent\", \"source_kind\": \"run\", \"run_id\": \"fbe3fc0d-b05c-455e-9afe-1b17b4640d97\", \"task_id\": null, \"created_at\": \"2026-03-13T14:01:39.640125+00:00\"}\n{\"id\": \"legacy_run_a7fe5fbd-4892-4398-ab1a-71337f923ed7\", \"type\": \"episode\", \"title\": \"Research run: Analyze the best next steps to make ballbox-payment-integration production-ready\", \"origin_agent\": \"personal-agent\", \"source_kind\": \"run\", \"run_id\": \"a7fe5fbd-4892-4398-ab1a-71337f923ed7\", \"task_id\": null, \"created_at\": \"2026-03-13T14:01:39.641266+00:00\"}\n{\"id\": \"legacy_run_35bd54a1-0135-414e-9c6b-245fca772f54\", \"type\": \"episode\", \"title\": \"Research run: Production-readiness plan for ballbox-payment-integration\", \"origin_agent\": \"personal-agent\", \"source_kind\": \"run\", \"run_id\": \"35bd54a1-0135-414e-9c6b-245fca772f54\", \"task_id\": null, \"created_at\": \"2026-03-13T14:01:39.642436+00:00\"}\n{\"id\": \"legacy_run_1f1a3fd4-eb28-4e99-891f-07c97243a06f\", \"type\": \"episode\", \"title\": \"Research run: Produce a production-readiness plan for ballbox-payment-integration\", \"origin_agent\": \"personal-agent\", \"source_kind\": \"run\", \"run_id\": \"1f1a3fd4-eb28-4e99-891f-07c97243a06f\", \"task_id\": null, \"created_at\": \"2026-03-13T14:01:39.643717+00:00\"}\n{\"id\": \"legacy_run_7e6517b3-759f-4063-8d98-121d9cba45c5\", \"type\": \"episode\", \"title\": \"Research run: Find online references for the GitHub organization Trading-Mastery\", \"origin_agent\": \"personal-agent\", \"source_kind\": \"run\", \"run_id\": \"7e6517b3-759f-4063-8d98-121d9cba45c5\", \"task_id\": null, \"created_at\": \"2026-03-13T14:01:39.644949+00:00\"}\n"}],"isError":false,"timestamp":1777988809596}}
{"type":"message","id":"3a378f58","parentId":"fd4de1c2","timestamp":"2026-05-05T13:46:59.055Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Investigating memory service updates**\n\nI need to check if the maintenance service is automatically promoting session-end memories. I could search the repository since the user might ask about the memory service, specifically regarding mid-session or after session updates. I should confirm that recent writes in the database are manual and not tied to any automatic processes. No recent task-bound writes since March mean that mid-session and post-session automated summaries don't seem to be happening right now. However, we haven't ruled out the possibility of temporary logic entirely.","thinkingSignature":"{\"id\":\"rs_0d852cbc8d6115830169f9f4ca8fa0819492359ab54c5403cd\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-fTOPwnzCjaKimev2OdpgrNXvOeU1fNYXXW-cpuB75buy4N_J_2ssmgxYKeVmHSN8euijCrk1u-UHWCU3Hlr8dTwU4Ue0lHsXkLrTRLabEpg1d__nIKhO5SWCMLn-Av7kk7FRErYU4wLuslZGp25_Lckt88pkKJ5C7_hIu9_DHNfH_rmt7eGgneRGj8GBWUQ64A5PAKusoe9gEDyoyUfA5Ij8kuQuSUDI-oOgClZ88nz0mW3jGMYV5GzvUTIfvj0osvEia5UD7DTus_rTuB9wwBYvlYY7bBRjnpuq3g-iynYZbk-8Xo4Y5_E9uU9iRyvFYePVWq_P_ysqZS_vQn9BUni6rgHSWA2ukfjJFpco9IRJLIVlqblduGkjee8rHsWEHtSF6igIqIqjPeePHHLmkgPo6yZZRXhXuMn8TOwM7I5wB6OlwSJQH3cuOSmjVPc73_RAmbumEMefrRekVZsocZCFzGaIG6U9AcUCr8WTza6JWn-WZ35bTT7fUzApuTvRwFntYi-BcLCsuHsvTzz1TjJGOy1P_ztBIQaXv4QCrCBKCY8tax_0_vJOr0ca2drP21GpYvJPFqyFZjhjRF4cWYISs1SXe_IQRkB_P36CdsmYtapUvxWy5iaTMTM8B7R5dXDIuqMNwZt9uAi0oVeUeDAiKs6IsaTAhCHgOwD1JNSRlh30i6KMQ_wfDWT-xM2U0N-8rvkUu3tVP2u8bEDF5_Hfi1q_IBDVhTMgnfcZfFtYcNkNlOyb3DzO0fqgXpuF6xNoRPV-kahIV245j80tun-oK_Z9kzMYuNcCt-Ga6eltUCHVZc6eOMe5tsQE2Vd95V-zJJyITDZf84UWJAE68N_8LBPxU5thy3SJtz41KHTGOEy2tV3jQY6xhBhIlzEIMDWJ4D9chGeitpOUy000j378zVHZ8TG_SMzKceXIXlhWHac05b_z6Y2vb2SjScWpUPztgmjzSG_h1InG-h9G6cDy9x_Ba3mfwm3OmDMlf9myuxVfmuQkato0yz4ascUehAuarhlcazzLEzGuQQoNbLZGteXlh22phThc4TrdepX-ayDQBlGiXw59FGkC5Gqh74GlOgOILdO8mA_t1ggsuyyHZpmAXmw255_STHhVQtaZM8l66AMyiGT4k5t-Jfy5frK3VcGznJJTQhKxvB37aZ5cm8bfTlhFP1X0HgOAqHQe2l6yRn3SxeT4niPFamlBvrl6snC95bsjfS7UjqtfzF_8b4Fp4VwtRH9Lg6iR7cdaqiTFzH6OYYR5BBL0UJ0Xos3Ye_pecD12QlfOQgtXWYXb7xYLzOXXvGgMoL3K0j09KByX-HD3uuX3p26AwUs6tnb-oOCNo0Ggy2l-u3Cbk_qT3bgrn5juBkjzODWemv1Zg6l1mHGyxVucmKz09MZyOwodnJ5ATMRiGRXIfCuqhAIbt2uMVG-BjAyc9xSbuxKNeL4vL043KXDzOwJuqll9fsp5bF-8zbEtD0FxAUFZpykYEleqe0kfBtNC4RZUg2dZOdZSid6APKCBDH06l363tfklRY5Jvg1ODJpdyJDWausYctC9DBpOeKopHLe8wkJwwbyupQdpL-JulsTMHa5RmbNJSvIKZb3f37R-syswyhSiK70lVOJkH9hfPUc1MCW2RQ5EpDTrgI3e581XwS2y1dFu4FxkJeXwmbfYFB4gH6inPARIPRa9l4rFDFAyKzLswcafytBe2bcTKoFnQfG2AB2\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Investigating memory service updates**\\n\\nI need to check if the maintenance service is automatically promoting session-end memories. I could search the repository since the user might ask about the memory service, specifically regarding mid-session or after session updates. I should confirm that recent writes in the database are manual and not tied to any automatic processes. No recent task-bound writes since March mean that mid-session and post-session automated summaries don't seem to be happening right now. However, we haven't ruled out the possibility of temporary logic entirely.\"}]}"},{"type":"text","text":"Those look mostly not happening.\n\nWhat DB shows:\n- `223` total memories\n- by `source_kind`:\n  - `manual`: `187`\n  - `document`: `22`\n  - `run`: `14`\n\nKey point:\n- recent memory writes are almost all manual\n- I do **not** see fresh run-linked/session-linked memories in recent data\n- the only `source_kind=run` memories are old legacy run episodes from `2026-03-13`\n- recent memories from `2026-04-30` to `2026-05-04` are manual writes like decisions, episodes, artifacts\n\nSo:\n\n- **Mid-agent-session updates:** not showing up as an active pattern\n- **Post-session/end-of-session summaries:** also not showing up automatically in recent writes\n- **What is active now:** manual memory saves, plus maintenance/consolidation jobs\n\nLikely state:\n- service itself is healthy\n- automatic memory capture flow is weak/inactive/not wired into current agent runs\n- maintenance is running, but maintenance is not the same as new session-memory ingestion\n\nStrong evidence:\n- recent task runs exist, but recent memories do not carry fresh `run_id` / `task_id`\n- recent memories have `source_kind=manual`, not run-derived\n\nIf you want, I can next check one of these:\n1. code path for session-end memory ingestion\n2. whether the current agent is supposed to call it but isn’t\n3. logs for failed ingest attempts\n4. exact repo status of the automation work","textSignature":"{\"v\":1,\"id\":\"msg_0d852cbc8d6115830169f9f4ce850881948c57f58de4e6cf60\",\"phase\":\"final_answer\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":2174,"output":436,"cacheRead":18432,"cacheWrite":0,"totalTokens":21042,"cost":{"input":0.005435000000000001,"output":0.00654,"cacheRead":0.004608,"cacheWrite":0,"total":0.016583}},"stopReason":"stop","timestamp":1777988809597,"responseId":"resp_0d852cbc8d6115830169f9f4c9e7dc8194a8535b9c5122aaf1"}}
{"type":"message","id":"6b4c16b6","parentId":"3a378f58","timestamp":"2026-05-05T13:48:06.400Z","message":{"role":"user","content":[{"type":"text","text":"manual writes are ai agent writes, i do not manually run it\nso they are mid-session writes and maybe also end session ones. any way we can check?"}],"timestamp":1777988886395}}
{"type":"message","id":"fca9e295","parentId":"6b4c16b6","timestamp":"2026-05-05T13:48:16.066Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Investigating for clarity**\n\nI need to find an answer through some investigation. This means I should probably look into memory metadata or source references and check patterns in conversations, potentially examining code or logs to distinguish any specifics. I'll use the appropriate tools for this task. I'm curious how this will unfold, but it feels like a necessary step to ensure I get accurate results! Let's see what I can discover!","thinkingSignature":"{\"id\":\"rs_0d852cbc8d6115830169f9f51a6b38819498014fa626fad797\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-fUfz2HYIS0PNKkHGP_Eb-HLiuDdtBF18ydzkKUhV3MPbmQKnz5ioS-eBizRhgUDUsSiT8MrHzUfKSwFfz70Gi1PjTy6emrblgaC7wfQ1c-7xJMcnX4ju4c3a1BPLLsE-uKzQDu6Dhhhe2blbdmscea1OFnya6vlprAw4zFcyTuEfsdU-Aow0K3x2IM5RPYa4TH6nl5MaKoPildI-KL7GN5LWqnInlxQ77EyYXhMrdUohj_6QtGdjkYqQqaMW9KNtx_YbKc2KGt7ZnCd4DREXb0So8l6q7slX9XsFRjQlduL3lWdec40TxQyg50NUvehFWLfayjiY6f0RDZAgrA808FIjSGLrFpBpUUysY8nJFWyxK733ww_YkTPvcNd5OOck5PnShyL6i0D_znAUrnRdqPjCDFomG3FzbFk7rwTniPWEgRkrFnUBxoIdqXtvBDuaTshfGukufbQsj2nW0AIHZA5xkLFibo37RLrpJGXD-F_le6kZM8SEZfLdrba73jX4LwKTIMyYOe8LUC9K72iTvET-8Sn7BrR1MudPBA91FpDcjHARDF3fDLKXvYUAWg-MJqKc3A_s5vc3NddcrjzvdA_EVIfEBBUQt5UVaB3RwQTYl0s3FR2YoKKVYIdhOhzwcsS2PLJkklUv5KW8DIzS9J--hOPkvYugyVA9DCqLa5kdJ_iYUlD_9Oht0gm5dxJZz8JirH3ydu_ip9dDP4C_GaXgOMuoMW4WxJCA-BfmqiGuD7fN6IbMxh2CQvic3FKl36RFJcWDofdWL1Ggv8S7wNCrN2R3NemRIWlxE3jzInlOEdF2aI80zQi9p7Bq2I56mQvq18Kis8mnU719z-xLibxHOIj5cPDPSm-jnzAkU_VUqx_hm6-vq7g_FvTXjBPX7ylmcbdzMPR_qcAH7fQFkQCeo-roMs4xxYy1cSWPZDUUfD9sq3U0lXK-RV5pEMx7r9jxCg1wXAhiMvpeGnNh2UmQW6n7eJ3OP2_ry6EIfhTYFrd8QV4N1yQCVEaQXmt1xsEr2DooC8DtJBonT1-KObZZlsV4XtejbEoMDPjBlNdRTbCKxlQXz1KTcZJ1ZlVLlDPWiBbY6xm5VeTUUN6DZE0jJkmwXc9Okvf9g4ZTGrle5c=\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Investigating for clarity**\\n\\nI need to find an answer through some investigation. This means I should probably look into memory metadata or source references and check patterns in conversations, potentially examining code or logs to distinguish any specifics. I'll use the appropriate tools for this task. I'm curious how this will unfold, but it feels like a necessary step to ensure I get accurate results! Let's see what I can discover!\"}]}"},{"type":"toolCall","id":"call_oPNNfnNAEImD6L0GxDRRWtIS|fc_0d852cbc8d6115830169f9f51fd71c81949328e579f5ee50c5","name":"bash","arguments":{"command":"python3 - <<'PY'\nimport sqlite3, json\nconn=sqlite3.connect('/mnt/rpi/agents-database/data/shared-agent-memory.sqlite3')\nconn.row_factory=sqlite3.Row\nprint('RECENT_MANUAL_WITH_METADATA')\nfor row in conn.execute(\"select id, type, title, origin_agent, source_kind, source_ref, run_id, task_id, created_at, updated_at, metadata_json from memories where source_kind='manual' order by datetime(updated_at) desc limit 15\"):\n    d=dict(row)\n    try:\n        d['metadata_json']=json.loads(d['metadata_json'])\n    except Exception:\n        pass\n    print(json.dumps(d, ensure_ascii=False))\nPY","timeout":15}},{"type":"toolCall","id":"call_bs6zr2qPH6Zn1Gcn1T1g4YWf|fc_0d852cbc8d6115830169f9f51fd72c8194836927a1d9c246f0","name":"bash","arguments":{"command":"cd /mnt/rpi/agents-database && rg -n \"session-end|mid-conversation|mid-session|POST /api/ingest|source_kind.*manual|run_id|origin_agent|memory-write|session analysis|episode\" -S .","timeout":15}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":6452,"output":297,"cacheRead":14336,"cacheWrite":0,"totalTokens":21085,"cost":{"input":0.016130000000000002,"output":0.004455,"cacheRead":0.003584,"cacheWrite":0,"total":0.024169000000000003}},"stopReason":"toolUse","timestamp":1777988886396,"responseId":"resp_0d852cbc8d6115830169f9f51729088194a5f5b8add1397e5e"}}
{"type":"message","id":"7e965263","parentId":"fca9e295","timestamp":"2026-05-05T13:48:16.142Z","message":{"role":"toolResult","toolCallId":"call_oPNNfnNAEImD6L0GxDRRWtIS|fc_0d852cbc8d6115830169f9f51fd71c81949328e579f5ee50c5","toolName":"bash","content":[{"type":"text","text":"RECENT_MANUAL_WITH_METADATA\n{\"id\": \"mem_3c62253993584122a81f9a21de4acc33\", \"type\": \"artifact\", \"title\": \"ballbox-first microSD migration handoff\", \"origin_agent\": \"personal-agent\", \"source_kind\": \"manual\", \"source_ref\": \"file:/home/sebas/microsd-migration-handoff.md\", \"run_id\": null, \"task_id\": null, \"created_at\": \"2026-05-04T21:29:59.519213+00:00\", \"updated_at\": \"2026-05-04T21:29:59.519213+00:00\", \"metadata_json\": {}}\n{\"id\": \"mem_90f4bcce6d284ed0b6f6edb9a6ec6cc2\", \"type\": \"decision\", \"title\": \"Prefer session-end memory writes\", \"origin_agent\": \"personal-agent\", \"source_kind\": \"manual\", \"source_ref\": \"conversation:2026-05-01\", \"run_id\": null, \"task_id\": null, \"created_at\": \"2026-05-01T19:46:36.793893+00:00\", \"updated_at\": \"2026-05-01T19:46:36.793893+00:00\", \"metadata_json\": {}}\n{\"id\": \"mem_69278f6716654a3c8fc5db37f97d2a6c\", \"type\": \"profile\", \"title\": \"Follow-up instructions go to todo first\", \"origin_agent\": \"personal-agent\", \"source_kind\": \"manual\", \"source_ref\": \"conversation:2026-05-01\", \"run_id\": null, \"task_id\": null, \"created_at\": \"2026-05-01T19:45:29.105695+00:00\", \"updated_at\": \"2026-05-01T19:45:29.105695+00:00\", \"metadata_json\": {}}\n{\"id\": \"mem_b9dfde5e35a84944b86841b537be2b4c\", \"type\": \"project\", \"title\": \"Vibes service needs provider env\", \"origin_agent\": \"personal-agent\", \"source_kind\": \"manual\", \"source_ref\": null, \"run_id\": null, \"task_id\": null, \"created_at\": \"2026-05-01T16:08:52.128088+00:00\", \"updated_at\": \"2026-05-01T16:08:52.128088+00:00\", \"metadata_json\": {}}\n{\"id\": \"mem_4b3428254ffb442ca1762d1a5895100d\", \"type\": \"episode\", \"title\": \"Installed Vibes on ballbox-first\", \"origin_agent\": \"personal-agent\", \"source_kind\": \"manual\", \"source_ref\": \"conversation:2026-05-01:vibes-install\", \"run_id\": null, \"task_id\": null, \"created_at\": \"2026-05-01T04:56:36.842289+00:00\", \"updated_at\": \"2026-05-01T04:56:36.842289+00:00\", \"metadata_json\": {}}\n{\"id\": \"mem_ebbca254ff484623b6d63073ee758d8d\", \"type\": \"decision\", \"title\": \"pi-tau-mux stale ctx fix in tau-client\", \"origin_agent\": \"personal-agent\", \"source_kind\": \"manual\", \"source_ref\": \"conversation:2026-05-01:/new-stale-ctx\", \"run_id\": null, \"task_id\": null, \"created_at\": \"2026-05-01T04:46:27.346689+00:00\", \"updated_at\": \"2026-05-01T04:46:27.346689+00:00\", \"metadata_json\": {}}\n{\"id\": \"mem_6485e21fbc354ebf98cea3fa5a1cc6e6\", \"type\": \"episode\", \"title\": \"agents-database maintenance wrapper fix\", \"origin_agent\": null, \"source_kind\": \"manual\", \"source_ref\": \"conversation:2026-04-30:maintenance-wrapper-fix\", \"run_id\": null, \"task_id\": null, \"created_at\": \"2026-04-30T23:53:17.928610+00:00\", \"updated_at\": \"2026-04-30T23:53:17.928610+00:00\", \"metadata_json\": {}}\n{\"id\": \"mem_94ec049a0b6345ad9e54746c62a51908\", \"type\": \"decision\", \"title\": \"Native tmux pi batch jobs for one-prompt subagents\", \"origin_agent\": \"personal-agent\", \"source_kind\": \"manual\", \"source_ref\": \"conversation:2026-04-30\", \"run_id\": null, \"task_id\": null, \"created_at\": \"2026-04-30T23:34:35.028872+00:00\", \"updated_at\": \"2026-04-30T23:34:35.028872+00:00\", \"metadata_json\": {}}\n{\"id\": \"mem_be158f743dcc43c2a38b3bb6ca348352\", \"type\": \"artifact\", \"title\": \"Vending setup day manual added\", \"origin_agent\": \"personal-agent\", \"source_kind\": \"manual\", \"source_ref\": \"docs/vending-machine-setup-day-manual.md\", \"run_id\": null, \"task_id\": null, \"created_at\": \"2026-04-30T19:20:49.492199+00:00\", \"updated_at\": \"2026-04-30T19:20:49.492199+00:00\", \"metadata_json\": {\"branch\": \"docs-vending-manual\", \"commit\": \"3239857\", \"repo\": \"ballbox\"}}\n{\"id\": \"legacy_claim_9fdccb34-cf1e-47bd-b133-a224f363a6d4_782d8169bfd49348\", \"type\": \"artifact\", \"title\": \"Research claim: Personal assistants are trending toward local memory plus explicit approval gate\", \"origin_agent\": \"personal-agent\", \"source_kind\": \"manual\", \"source_ref\": \"personal-agent:run:9fdccb34-cf1e-47bd-b133-a224f363a6d4\", \"run_id\": \"9fdccb34-cf1e-47bd-b133-a224f363a6d4\", \"task_id\": null, \"created_at\": \"2026-03-13T14:01:39.670632+00:00\", \"updated_at\": \"2026-04-30T17:32:27.370306+00:00\", \"metadata_json\": {\"claim_status\": \"tentative\", \"schema\": \"shared-agent-memory-v2\", \"subtype\": \"research_claim\"}}\n{\"id\": \"legacy_claim_55b6eaa0-9ff5-438c-a375-50f0452079cb_94c9a4ce114180c3\", \"type\": \"artifact\", \"title\": \"Research claim: Current ballbox-payment-integration repo is directionally aligned with a vending\", \"origin_agent\": \"personal-agent\", \"source_kind\": \"manual\", \"source_ref\": \"personal-agent:run:55b6eaa0-9ff5-438c-a375-50f0452079cb\", \"run_id\": \"55b6eaa0-9ff5-438c-a375-50f0452079cb\", \"task_id\": null, \"created_at\": \"2026-03-13T14:01:39.671440+00:00\", \"updated_at\": \"2026-04-30T17:32:27.370355+00:00\", \"metadata_json\": {\"claim_status\": \"tentative\", \"schema\": \"shared-agent-memory-v2\", \"subtype\": \"research_claim\"}}\n{\"id\": \"legacy_claim_bfe3ad5d-ed7c-4727-bd72-7b9f5b7b0cc7_debf10ea226a73ff\", \"type\": \"artifact\", \"title\": \"Research claim: There are multiple 55-inch China-sourced digital signage options already markete\", \"origin_agent\": \"personal-agent\", \"source_kind\": \"manual\", \"source_ref\": \"personal-agent:run:bfe3ad5d-ed7c-4727-bd72-7b9f5b7b0cc7\", \"run_id\": \"bfe3ad5d-ed7c-4727-bd72-7b9f5b7b0cc7\", \"task_id\": null, \"created_at\": \"2026-03-13T14:01:39.672284+00:00\", \"updated_at\": \"2026-04-30T17:32:27.370418+00:00\", \"metadata_json\": {\"claim_status\": \"tentative\", \"schema\": \"shared-agent-memory-v2\", \"subtype\": \"research_claim\"}}\n{\"id\": \"legacy_claim_bfe3ad5d-ed7c-4727-bd72-7b9f5b7b0cc7_c8f1da6eb425ce87\", \"type\": \"artifact\", \"title\": \"Research claim: Made-in-China currently lists multiple outdoor Android/high-brightness signage v\", \"origin_agent\": \"personal-agent\", \"source_kind\": \"manual\", \"source_ref\": \"personal-agent:run:bfe3ad5d-ed7c-4727-bd72-7b9f5b7b0cc7\", \"run_id\": \"bfe3ad5d-ed7c-4727-bd72-7b9f5b7b0cc7\", \"task_id\": null, \"created_at\": \"2026-03-13T14:01:39.673099+00:00\", \"updated_at\": \"2026-04-30T17:32:27.370471+00:00\", \"metadata_json\": {\"claim_status\": \"tentative\", \"schema\": \"shared-agent-memory-v2\", \"subtype\": \"research_claim\"}}\n{\"id\": \"legacy_claim_bfe3ad5d-ed7c-4727-bd72-7b9f5b7b0cc7_7e34ebfab9d62f01\", \"type\": \"artifact\", \"title\": \"Research claim: For padel venues with direct sunlight or semi-outdoor placement, 1000-2500 nit o\", \"origin_agent\": \"personal-agent\", \"source_kind\": \"manual\", \"source_ref\": \"personal-agent:run:bfe3ad5d-ed7c-4727-bd72-7b9f5b7b0cc7\", \"run_id\": \"bfe3ad5d-ed7c-4727-bd72-7b9f5b7b0cc7\", \"task_id\": null, \"created_at\": \"2026-03-13T14:01:39.673894+00:00\", \"updated_at\": \"2026-04-30T17:32:27.370522+00:00\", \"metadata_json\": {\"claim_status\": \"tentative\", \"schema\": \"shared-agent-memory-v2\", \"subtype\": \"research_claim\"}}\n{\"id\": \"legacy_claim_fbe3fc0d-b05c-455e-9afe-1b17b4640d97_3b87a932d99841c5\", \"type\": \"artifact\", \"title\": \"Research claim: macOS fullscreen mueve la ventana principal a un Space separado; para convivir c\", \"origin_agent\": \"personal-agent\", \"source_kind\": \"manual\", \"source_ref\": \"personal-agent:run:fbe3fc0d-b05c-455e-9afe-1b17b4640d97\", \"run_id\": \"fbe3fc0d-b05c-455e-9afe-1b17b4640d97\", \"task_id\": null, \"created_at\": \"2026-03-13T14:01:39.675315+00:00\", \"updated_at\": \"2026-04-30T17:32:27.370586+00:00\", \"metadata_json\": {\"claim_status\": \"verified\", \"schema\": \"shared-agent-memory-v2\", \"subtype\": \"research_claim\"}}\n"}],"isError":false,"timestamp":1777988896141}}
{"type":"message","id":"e481c796","parentId":"7e965263","timestamp":"2026-05-05T13:48:16.143Z","message":{"role":"toolResult","toolCallId":"call_bs6zr2qPH6Zn1Gcn1T1g4YWf|fc_0d852cbc8d6115830169f9f51fd72c8194836927a1d9c246f0","toolName":"bash","content":[{"type":"text","text":"./src/shared_agent_memory/http_api.py:86:                            \"run_id\": _first(query, \"run_id\"),\n./src/shared_agent_memory/http_api.py:88:                            \"origin_agent\": _first(query, \"origin_agent\"),\n./src/shared_agent_memory/http_api.py:126:                                run_id=_first(query, \"run_id\"),\n./src/shared_agent_memory/http_api.py:128:                                origin_agent=_first(query, \"origin_agent\"),\n./src/shared_agent_memory/http_api.py:150:                                run_id=_first(query, \"run_id\"),\n./src/shared_agent_memory/http_api.py:231:                            run_id=payload.get(\"run_id\"),\n./src/shared_agent_memory/http_api.py:256:                    run_id = parsed.path.split(\"/\")[3]\n./src/shared_agent_memory/http_api.py:263:                            run_id,\n./src/shared_agent_memory/http_api.py:321:                        run_id=payload.get(\"run_id\"),\n./tests/test_memory_service.py:128:        run_id=\"run_alpha\",\n./tests/test_memory_service.py:147:    assert bundle[\"task\"][\"run_id\"] == \"run_alpha\"\n./tests/test_memory_service.py:157:            \"type\": \"episode\",\n./tests/test_memory_service.py:162:            \"run_id\": \"run-123\",\n./tests/test_memory_service.py:163:            \"origin_agent\": \"personal-agent\",\n./tests/test_memory_service.py:173:            \"run_id\": \"run-123\",\n./tests/test_memory_service.py:176:            \"origin_agent\": \"personal-agent\",\n./tests/test_memory_service.py:180:    matches = service.list_memories(subtype=\"research_source\", run_id=\"run-123\", domain=\"example.com\", origin_agent=\"personal-agent\")\n./tests/test_memory_service.py:266:            payload={\"status\": \"in_progress\", \"run_id\": run[\"id\"]},\n./tests/test_memory_service.py:270:        assert patched[\"run_id\"] == run[\"id\"]\n./tests/test_memory_service.py:402:            \"type\": \"episode\",\n./tests/test_memory_service.py:501:                \"episode\",\n./tests/test_memory_service.py:516:                service.store.dumps({\"legacy_system\": \"personal-agent\", \"legacy_kind\": \"research_run\", \"legacy_run_id\": \"run-123\"}),\n./tests/test_memory_service.py:534:                service.store.dumps({\"legacy_kind\": \"task\", \"legacy_run_id\": \"run-123\"}),\n./src/shared_agent_memory/store.py:21:            self._ensure_column(conn, \"memories\", \"run_id\", \"TEXT\")\n./src/shared_agent_memory/store.py:25:            self._ensure_column(conn, \"memories\", \"origin_agent\", \"TEXT\")\n./src/shared_agent_memory/store.py:27:            self._ensure_column(conn, \"tasks\", \"run_id\", \"TEXT\")\n./docs/http-api.md:17:- `POST /api/ingest`\n./docs/http-api.md:51:- `episode` and `inbox` records are candidates, not canonical truth, until consolidation or explicit promotion.\n./src/shared_agent_memory/engine.py:92:                \"type\": \"episode\",\n./docs/shared-agent-memory-rfc.md:148:- Agents may auto-create `episode` records and candidate `inbox` facts.\n./docs/shared-agent-memory-rfc.md:178:- `episode`\n./docs/shared-agent-memory-rfc.md:272:- recent episodes when useful\n./docs/shared-agent-memory-rfc.md:394:- `episode` records may be stored automatically.\n./docs/shared-agent-memory-rfc.md:395:- candidate facts extracted from episodes stay `inbox` until consolidation.\n./src/shared_agent_memory/service.py:75:        run_id = memory_input.get(\"run_id\")\n./src/shared_agent_memory/service.py:79:        origin_agent = memory_input.get(\"origin_agent\") or metadata.get(\"origin_agent\") or memory_input.get(\"agent_id\")\n./src/shared_agent_memory/service.py:90:            \"origin_agent\": origin_agent,\n./src/shared_agent_memory/service.py:91:            \"run_id\": run_id,\n./src/shared_agent_memory/service.py:95:            \"source_kind\": memory_input.get(\"source_kind\", \"manual\"),\n./src/shared_agent_memory/service.py:113:                    id, schema_version, type, subtype, scope, status, project_id, repo_id, agent_id, origin_agent,\n./src/shared_agent_memory/service.py:114:                    run_id, task_id, url, domain, source_kind, title, content, summary, confidence, freshness,\n./src/shared_agent_memory/service.py:117:                    :id, :schema_version, :type, :subtype, :scope, :status, :project_id, :repo_id, :agent_id, :origin_agent,\n./src/shared_agent_memory/service.py:118:                    :run_id, :task_id, :url, :domain, :source_kind, :title, :content, :summary, :confidence, :freshness,\n./src/shared_agent_memory/service.py:241:        project_memories = [item for item in project_memories if item[\"type\"] in {\"project\", \"decision\", \"artifact\", \"episode\"}][:12]\n./src/shared_agent_memory/service.py:242:        recent_episodes = self.list_memories(\n./src/shared_agent_memory/service.py:244:            memory_type=\"episode\",\n./src/shared_agent_memory/service.py:261:            for item in [*profile_facts, *project_memories, *active_decisions, *recent_episodes]\n./src/shared_agent_memory/service.py:268:            \"recent_episodes\": recent_episodes,\n./src/shared_agent_memory/service.py:344:                    OR (type = 'episode' AND status = 'active')\n./src/shared_agent_memory/service.py:444:                elif candidate[\"status\"] == \"active\" and candidate[\"type\"] in {\"episode\", \"artifact\", \"decision\", \"project\", \"procedural\", \"semantic\"} and candidate.get(\"confidence\", 0.0) >= promote_threshold:\n./src/shared_agent_memory/service.py:558:        run_id: str | None = None,\n./src/shared_agent_memory/service.py:560:        origin_agent: str | None = None,\n./src/shared_agent_memory/service.py:581:            \"run_id\": run_id,\n./src/shared_agent_memory/service.py:583:            \"origin_agent\": origin_agent,\n./src/shared_agent_memory/service.py:649:        run_id: str | None = None,\n./src/shared_agent_memory/service.py:655:            \"run_id\": run_id,\n./src/shared_agent_memory/service.py:677:                    id, schema_version, run_id, title, intent, kind, status, priority, project_id, repo_id,\n./src/shared_agent_memory/service.py:681:                    :id, :schema_version, :run_id, :title, :intent, :kind, :status, :priority, :project_id, :repo_id,\n./src/shared_agent_memory/service.py:704:        run_id: str | None = None,\n./src/shared_agent_memory/service.py:718:        if run_id is not None:\n./src/shared_agent_memory/service.py:719:            sql.append(\"AND run_id = ?\")\n./src/shared_agent_memory/service.py:720:            params.append(run_id)\n./src/shared_agent_memory/service.py:736:        run_id: str | None = None,\n./src/shared_agent_memory/service.py:742:        task[\"run_id\"] = run_id if run_id is not None else task.get(\"run_id\")\n./src/shared_agent_memory/service.py:751:                SET status = ?, owner_agent = ?, blocked_reason = ?, requires_human_input = ?, run_id = ?, updated_at = ?, metadata_json = ?\n./src/shared_agent_memory/service.py:759:                    task.get(\"run_id\"),\n./src/shared_agent_memory/service.py:807:    def get_task_run(self, run_id: str) -> dict[str, Any]:\n./src/shared_agent_memory/service.py:809:            row = conn.execute(\"SELECT * FROM task_runs WHERE id = ?\", (run_id,)).fetchone()\n./src/shared_agent_memory/service.py:811:                raise KeyError(run_id)\n./src/shared_agent_memory/service.py:816:        run_id: str,\n./src/shared_agent_memory/service.py:830:                (status, result_summary, error_message, now, now, run_id),\n./src/shared_agent_memory/service.py:833:        return self.get_task_run(run_id)\n./src/shared_agent_memory/service.py:987:                    SET schema_version = ?, type = ?, subtype = ?, origin_agent = ?, run_id = ?, task_id = ?,\n./src/shared_agent_memory/service.py:995:                        record[\"origin_agent\"],\n./src/shared_agent_memory/service.py:996:                        record[\"run_id\"],\n./src/shared_agent_memory/service.py:1015:                    SET schema_version = ?, run_id = ?, metadata_json = ?, updated_at = ?\n./src/shared_agent_memory/service.py:1018:                    (record[\"schema_version\"], record[\"run_id\"], record[\"metadata_json\"], utcnow(), record[\"id\"]),\n./src/shared_agent_memory/service.py:1176:        allowed = {\"project_id\", \"repo_id\", \"type\", \"subtype\", \"run_id\", \"task_id\", \"origin_agent\", \"url\", \"domain\"}\n./src/shared_agent_memory/service.py:1185:        tracked = [\"project_id\", \"repo_id\", \"type\", \"subtype\", \"run_id\", \"task_id\", \"origin_agent\", \"url\", \"domain\"]\n./src/shared_agent_memory/service.py:1197:        origin_agent = row.get(\"origin_agent\") or metadata.get(\"origin_agent\") or metadata.get(\"legacy_system\") or row.get(\"agent_id\")\n./src/shared_agent_memory/service.py:1198:        run_id = row.get(\"run_id\") or metadata.get(\"run_id\") or metadata.get(\"legacy_run_id\") or self._infer_run_id(row, subtype)\n./src/shared_agent_memory/service.py:1202:        clean = {key: value for key, value in metadata.items() if key not in {\"legacy_kind\", \"legacy_system\", \"legacy_run_id\", \"run_id\", \"task_id\", \"url\", \"domain\", \"source_url\", \"record_kind\", \"schema\"}}\n./src/shared_agent_memory/service.py:1212:            record_type = \"episode\"\n./src/shared_agent_memory/service.py:1220:            \"origin_agent\": origin_agent,\n./src/shared_agent_memory/service.py:1221:            \"run_id\": run_id,\n./src/shared_agent_memory/service.py:1233:        run_id = row.get(\"run_id\") or metadata.get(\"run_id\") or metadata.get(\"legacy_run_id\")\n./src/shared_agent_memory/service.py:1234:        clean = {key: value for key, value in metadata.items() if key not in {\"legacy_kind\", \"legacy_system\", \"legacy_run_id\"}}\n./src/shared_agent_memory/service.py:1239:            \"run_id\": run_id,\n./src/shared_agent_memory/service.py:1450:        run_id = make_id(\"mrun\")\n./src/shared_agent_memory/service.py:1458:                (run_id, job_id, \"running\", now, None, None, self.store.dumps({}), None),\n./src/shared_agent_memory/service.py:1460:        return self.get_maintenance_run(run_id)\n./src/shared_agent_memory/service.py:1464:        run_id: str,\n./src/shared_agent_memory/service.py:1479:                (status, now, summary, self.store.dumps(stats or {}), error_message, run_id),\n./src/shared_agent_memory/service.py:1481:        return self.get_maintenance_run(run_id)\n./src/shared_agent_memory/service.py:1483:    def get_maintenance_run(self, run_id: str) -> dict[str, Any]:\n./src/shared_agent_memory/service.py:1485:            row = conn.execute(\"SELECT * FROM maintenance_runs WHERE id = ?\", (run_id,)).fetchone()\n./src/shared_agent_memory/service.py:1487:                raise KeyError(run_id)\n./src/shared_agent_memory/service.py:1518:    def _infer_run_id(self, row: dict[str, Any], subtype: str | None) -> str | None:\n./src/shared_agent_memory/schema.py:59:    origin_agent TEXT,\n./src/shared_agent_memory/schema.py:60:    run_id TEXT,\n./src/shared_agent_memory/schema.py:151:    run_id TEXT,\n./src/shared_agent_memory/schema.py:210:CREATE INDEX IF NOT EXISTS idx_memories_run ON memories(run_id);\n./src/shared_agent_memory/schema.py:214:CREATE INDEX IF NOT EXISTS idx_memories_origin_agent ON memories(origin_agent);\n./src/shared_agent_memory/schema.py:218:CREATE INDEX IF NOT EXISTS idx_tasks_run ON tasks(run_id);\n./src/shared_agent_memory/cli.py:258:                    run_id=args.run_id,\n./src/shared_agent_memory/cli.py:260:                    origin_agent=args.origin_agent,\n./docs/memory-consolidation-rfc.md:52:1. **Select candidates** from `memories` with status `inbox` or `episode` older than a minimum age.\n./docs/memory-consolidation-rfc.md:145:- Candidate age: >= 7 days for `episode` and `inbox`.\n./docs/system-v1.md:37:- `process_pending()` turns pending ingestion events into episode memories\n./docs/system-v1.md:44:- `episode` and `inbox` records are candidates, not truth by default\n"}],"isError":false,"timestamp":1777988896142}}
{"type":"message","id":"d27efd6e","parentId":"e481c796","timestamp":"2026-05-05T13:48:22.050Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Exploring maintenance insights**\n\nI need to check if there are any maintenance or consolidation promoted memories after the session ends. It could help to look at created_at versus updated_at timestamps. Some ways to check include examining the source_ref conversation date, timestamps relative to the session, the origin_agent, and whether run_id is null. It might be beneficial to inspect the service design documents too. I should read the relevant docs or RFCs, especially about how \"process_pending\" works for turning events into memories.","thinkingSignature":"{\"id\":\"rs_0d852cbc8d6115830169f9f521c1808194bd45cc83a73a8948\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-fUlAsrmCif-qQv_NqUA_tk1HZe1tpgKc4Sg1zGux1sihuyhzH_bgJ7VTRdWZ27E2nOvEjckX3wiWYJq4WQLwZyA8tXZoJEtvh6GqS4T-1qbi9HLD-OKBDGla7kaWm2Fa6GYD7Wa-SPHFDdPECYQZjjJp0M5JvjWCB1bVmC9d9OPPEyRMz0qJARZ1CfTqYhdE7nW1FZjdeZS_FBfcy8S1xD6i35SqglINUHeK-apgw8zWuTy__HmH7cmXWPcGtexZLPZ6n-J4yzTFdA4w1jP7OImkOIhcxv4nXmBdoG6F2gyApHWtunq5ukanZf8dsh_jmDfPcIfxaH4gv47EGnNmWdMNuZPLAR92ST0iiE-2FJKmBIYd2JdXtE4UxOZHPYvL1J9bSuuQn8AogtbF0HDAKdZrHcq6yhORsvn8EO0Ti8gdrop9sdY3l2tM0PPlRqsoYLEFxnRnfgtwO5V1r_PmJDWvTVuaUBzjYqiBugWr6r2cpkwHGIlp9-_gf5vNkkLsoDuvgyuCRYR_xi4TRaRQ1cmgfdCBIXIWhpdkuFQRLsGi-G4oXIBbkmo7bsO28o1pb57YfyH9Hps9Ehe8710ZviV1L1PMVl37ZO_nwa5Yz0biMP0ICIrtWi7hYGRGYWh49SRUo9zVwBUmkBJ4icElm0EuCWvNH7_phpePfBF5JGNcPp_52TQwWc7U0TkZeXe993dfqQqD6vJXY0YaExxSlsluTVAAJhI3z3nkwZwUWoeHpuIruqgknv7KNfrSfIl74owJ6tdWEo4LkfBXDcENmlD7tAxCwEjFHBAks4Tl2Z2xgkOk5ZtxnY_3gzxevv07owhQEBTk59476mb_3AniakGI8AbeEnfQ-C2ctAYnlJlB7IlXnMFZ4Lhw5EMY7E1fY_rFuUFIWMCdqUsZwpJ9cVwt5LL3zm0071Ydb-vbVYdyA-SwtOmY0R2BxJvKR-CEw4MelBtuiIX50wtsPA9laI0N0Zg1LqgGBCAZuZBKwFF9L_oCrWqLk7vFruvGMvyfmwlofDEtAfTevkSZhhnmgiGLEarxiMeaXUi7V0l5mSVcdcpbXACMzb7EyQTfQZHtPRHcrq6WGtSpRA1zJOMXGs4TO-ueQXDKBsg_4sXn0hkHwSN58r42IfOOwzzWZbCAgBX27rN0SRWqh_imvpk_Isdg9vim1ZeU1_fA7psl-uaCAshM4TGjX7DFzchiXNx7njdkuhlasm8ZWMDan0uyrUx7tbyfhje8g8IrDuhixuN9cmQ5mVuSOYVbHtoj0QFpXe3I3O64ngIF1tgB8YHAa-1YLcOpibARR42Jq4C-2oSc5wHPsbK8FzQQWGSg0KpnVn7FtCToTkbjgjfmP_PZHv9FGrIKm4J6hHALUqPWd3j5qqA8vZ5ZUIcqHvPmUdU0C0JVt7jN3QBCgA_StfKIvtKDVcBMHm-BCUL7R2_WeVJzLNBD1Ea3piigq2HbdYzU3Jt\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Exploring maintenance insights**\\n\\nI need to check if there are any maintenance or consolidation promoted memories after the session ends. It could help to look at created_at versus updated_at timestamps. Some ways to check include examining the source_ref conversation date, timestamps relative to the session, the origin_agent, and whether run_id is null. It might be beneficial to inspect the service design documents too. I should read the relevant docs or RFCs, especially about how \\\"process_pending\\\" works for turning events into memories.\"}]}"},{"type":"toolCall","id":"call_ngDtlPA8rcGnkpqWuFRxSRmo|fc_0d852cbc8d6115830169f9f525dddc8194b9d5a351352ca9a9","name":"read","arguments":{"path":"/mnt/rpi/agents-database/docs/http-api.md","offset":1,"limit":140}},{"type":"toolCall","id":"call_i7ZWw7vAU6gNpDYgcS94PCF1|fc_0d852cbc8d6115830169f9f525ddec81948670dc701544a1da","name":"read","arguments":{"path":"/mnt/rpi/agents-database/docs/system-v1.md","offset":1,"limit":120}},{"type":"toolCall","id":"call_8qJPoRENQ9B4Cj7Hrqzq5g7E|fc_0d852cbc8d6115830169f9f525ddf481949f7336e02eed95b4","name":"read","arguments":{"path":"/home/sebas/.agents/skills/memory-write/SKILL.md","offset":1,"limit":220}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":6215,"output":200,"cacheRead":20480,"cacheWrite":0,"totalTokens":26895,"cost":{"input":0.015537500000000001,"output":0.003,"cacheRead":0.0051199999999999996,"cacheWrite":0,"total":0.0236575}},"stopReason":"toolUse","timestamp":1777988896143,"responseId":"resp_0d852cbc8d6115830169f9f52085fc8194af2294350bc62cfc"}}
{"type":"message","id":"23473273","parentId":"d27efd6e","timestamp":"2026-05-05T13:48:22.107Z","message":{"role":"toolResult","toolCallId":"call_ngDtlPA8rcGnkpqWuFRxSRmo|fc_0d852cbc8d6115830169f9f525dddc8194b9d5a351352ca9a9","toolName":"read","content":[{"type":"text","text":"# Agents Database HTTP API\n\nRemote-first topology:\n\n- server `personal-agent`: task runner and dashboard API on `:8082`\n- server `agents-database`: shared-memory and operational-data API on `:8091`\n- local laptop: HTTP client only; no local shared DB required for normal operation\n\n## Endpoints\n\n- `GET /api/status`\n- `GET /api/search?q=<query>&scope=global&scope=project&limit=10`\n- `GET /api/search?id=<memory_id>`\n- `GET /api/context?project=<id>&repo=<id>&task=<id>`\n- `GET /api/memories?...filters...`\n- `GET /api/memories/<id>`\n- `POST /api/ingest`\n- `GET /api/tasks?...filters...`\n- `POST /api/tasks`\n- `PATCH /api/tasks/<id>`\n- `GET /api/tasks/<id>`\n- `GET /api/tasks/<id>/bundle`\n- `GET /api/task-runs?...filters...`\n- `GET /api/task-runs/<id>`\n- `POST /api/task-runs`\n- `POST /api/task-runs/<id>/finish`\n- `GET /api/artifacts?task_id=<id>`\n- `GET /api/artifacts/<id>`\n- `POST /api/artifacts`\n\n## Run locally\n\n```bash\npython3 -m shared_agent_memory.cli \\\n  --db data/shared-agent-memory.sqlite3 \\\n  serve-http \\\n  --host 0.0.0.0 \\\n  --port 8091\n```\n\n## Server service\n\n- script: `scripts/run-http-api.sh`\n- systemd user unit: `systemd/user/agents-database-http.service`\n\n## Memory semantics\n\n- This HTTP API is the correct remote boundary for shared memory. Avoid routing memory CRUD/search through `personal-agent` unless the runtime actually owns that behavior.\n- Use `GET /api/memories/<id>` for direct memory lookup by id.\n- `consolidate_candidates()` and maintenance jobs live behind `MemoryService`; the HTTP API exposes the store, not a separate memory subsystem.\n- `episode` and `inbox` records are candidates, not canonical truth, until consolidation or explicit promotion.\n\n## Gotchas\n\n- The existing `SERVICES-ARCHITECTURE.md` on the server may be stale relative to live routing. Verify real HTTP reachability with `curl`.\n"}],"isError":false,"timestamp":1777988902100}}
{"type":"message","id":"47fcb785","parentId":"23473273","timestamp":"2026-05-05T13:48:22.107Z","message":{"role":"toolResult","toolCallId":"call_i7ZWw7vAU6gNpDYgcS94PCF1|fc_0d852cbc8d6115830169f9f525ddec81948670dc701544a1da","toolName":"read","content":[{"type":"text","text":"# Agents Database in System V1\n\n`agents-database` is the durable store for System V1.\n\nCanonical topology and machine bootstrap live in `~/personal-agent/docs/system-v1.md`.\n\n## V1 Role\n\n- canonical shared DB for memories, operational tasks, task runs, approvals, artifacts, and handoffs\n- resumability anchor for multi-repo work\n- migration target for legacy `personal-agent` state\n- authoritative place to implement memory promotion, consolidation, and conflict handling\n\n## Resume From Shared DB\n\nUse the local CLI against `data/shared-agent-memory.sqlite3`:\n\n```bash\npython3 -m shared_agent_memory.cli --db data/shared-agent-memory.sqlite3 task-bundle task_<id>\npython3 -m shared_agent_memory.cli --db data/shared-agent-memory.sqlite3 list-memories \\\n  --source-ref personal-agent:run:<run-id>\n```\n\n## Runtime Dependencies\n\n- the configured CLI runner must be available for LLM consolidation steps (MiniMax M2.5 Free).\n- local verification tools live in `./.venv` for this repo\n\n## Memory pipeline\n\nThe memory pipeline lives in `MemoryService` / `MemoryEngine`, not in repo-local side scripts.\n\nCurrent behavior:\n\n- `ingest()` accepts durable memory writes\n- `capture_session()` and `capture_conversation()` create raw source material\n- `process_pending()` turns pending ingestion events into episode memories\n- `consolidate_candidates(config)` handles dedup, conflict detection, promotion, and optional synthesis\n- `maintenance_jobs` + `maintenance_runs` drive scheduled consolidation\n- opportunistic checks run on startup and after writes\n\nPromotion and conflict semantics:\n\n- `episode` and `inbox` records are candidates, not truth by default\n- exact duplicates are linked and archived\n- conflicting claims produce explicit `memory_conflicts` rows and `contradicts` links\n- inbox memories can be promoted to `active` once they pass the configured threshold\n- the canonical output is always the shared DB record, not an external report\n\n## Maintenance\n\n```bash\n.venv/bin/python -m shared_agent_memory.cli --db data/shared-agent-memory.sqlite3 maintenance-status\n.venv/bin/python -m shared_agent_memory.cli --db data/shared-agent-memory.sqlite3 maintenance-tick --limit 10\n.venv/bin/python -m shared_agent_memory.cli --db data/shared-agent-memory.sqlite3 maintenance-daemon --interval-seconds 900\n```\n\nVersioned service definitions:\n\n- `systemd/user/agents-database-maintenance.service`\n- `scripts/run-maintenance-daemon.sh`\n\nInstalled Linux user service:\n\n- `~/.config/systemd/user/agents-database-maintenance.service`\n- enabled with `systemctl --user enable --now agents-database-maintenance.service`\n- `Restart=always` with `RestartSec=10`\n- `loginctl show-user sebas --property=Linger` is `yes`, so the user service is eligible to come back after reboot without an interactive login\n\nOperational checks:\n\n```bash\nsystemctl --user status agents-database-maintenance.service --no-pager\nsystemctl --user show agents-database-maintenance.service --property=NRestarts,ExecMainPID,SubState\njournalctl --user -u agents-database-maintenance.service -n 50 --no-pager\n```\n\nmacOS launchd template:\n\n- `docs/launchd/agents-database-maintenance.plist`\n\nCurrent Linux runtime notes:\n\n- the daemon now starts through `scripts/run-maintenance-daemon.sh`\n- the wrapper exports `PYTHONPATH` for the repo checkout and prefers `./.venv/bin/python` when present\n- the service was verified to auto-restart after a manual `systemctl --user kill agents-database-maintenance.service`\n- `MemoryService` also performs opportunistic catch-up checks on startup and after normal write operations, so due jobs do not depend exclusively on the long-lived daemon\n\n## Boundary\n\n- new durable work: shared DB only\n- legacy `~/personal-agent/data/personal-agent.sqlite3`: transition-only inspection and migration source\n\n## RFCs\n\n- `docs/memory-consolidation-rfc.md`\n"}],"isError":false,"timestamp":1777988902107}}
{"type":"message","id":"cb7f605f","parentId":"47fcb785","timestamp":"2026-05-05T13:48:22.112Z","message":{"role":"toolResult","toolCallId":"call_8qJPoRENQ9B4Cj7Hrqzq5g7E|fc_0d852cbc8d6115830169f9f525ddf481949f7336e02eed95b4","toolName":"read","content":[{"type":"text","text":"---\nname: memory-write\ndescription: Save a durable high-signal memory into agents-database\n---\n\n# memory-write\n\n## Use When\n\n- new information is likely useful beyond current chat or task\n- saving a decision, preference, project fact, reusable source/artifact, or handoff summary\n- user asks to remember something durable\n\n## Do Not Use When\n\n- content is trivial, redundant, ephemeral, or likely useless later\n- content is secret unless user explicitly asked to store it\n\n## Required Workflow\n\n1. If useful context may already exist, optionally check first:\n   - `curl -fsSL \"${AGENTS_DB_API:-http://100.116.176.16:8091}/api/search?q=<query>&scope=global&scope=project&limit=10\"`\n2. Choose best memory type:\n   - `profile`: stable user preference, priority, recurring constraint\n   - `decision`: chosen approach or operating rule\n   - `project`: durable project fact or invariant\n   - `artifact`: reusable source, claim, reference, output\n   - `episode`: concise session summary, blocked state, handoff context\n3. Build a concise payload with:\n   - required: `type`, `scope`, `title`, `content`\n   - recommended when known: `subtype`, `project_id`, `repo_id`, `task_id`, `run_id`, `source_ref`, `origin_agent`, `url`, `domain`, `metadata`\n4. Save it with the helper:\n   - `~/.agents/skills/memory-write/memory-write --type <type> --scope <scope> --title \"<title>\" --content \"<content>\"`\n5. Confirm the created memory id and what was stored.\n\n## Quick Examples\n\n```bash\n~/.agents/skills/memory-write/memory-write \\\n  --type profile \\\n  --subtype working_preference \\\n  --scope global \\\n  --title \"User prefers concise status updates\" \\\n  --content \"Sebas prefers short, direct updates with business impact first.\" \\\n  --source-ref \"conversation:2026-04-17\" \\\n  --origin-agent personal-agent\n\n~/.agents/skills/memory-write/memory-write \\\n  --type decision \\\n  --subtype operating_rule \\\n  --scope global \\\n  --title \"Agents should save durable high-signal memory opportunistically\" \\\n  --content \"Treat agents-database as shared durable memory, not only search.\" \\\n  --metadata '{\"source\":\"conversation\"}'\n```\n\n## Rules\n\n- prefer one strong memory over many weak ones\n- keep `title` short and searchable\n- keep `content` factual and compact\n- use `episode` for summaries, not for every chat turn\n- include `url` and `domain` for web-derived artifacts when known\n- include `project_id`, `repo_id`, `task_id`, and `run_id` when context exists\n"}],"isError":false,"timestamp":1777988902107}}
{"type":"message","id":"f211337b","parentId":"cb7f605f","timestamp":"2026-05-05T13:48:31.530Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_0d852cbc8d6115830169f9f52892ec8194b292135aba867a27\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-fUul5JwM-9B-lXkxvxJ7YL46oadMJOG5RbilOn3FCGIhgdcL2aM1SzTG3ZMkoS1TGN21pVVXdF7z47Rh-oZr-jV5M7YMaw027j79wxlaoX6LRIU4dIuGlc2LkfXVwTsqCRMplSsrB5vbeHLwG4JAl5gvmc0dNjNXpDvfUciLWgUqWMOvXjbTpHPfhQut2Rl2MfPn82FRBa7_IqY6hDBZ3MBIkuiZJkvd7XjhMCBpfUX__1hjMZRk7GGtigsWP-rA06yasm3e2Mh2vwyGBETnKtuILLweO9hcBm14JOifQxZ_X8HXo_FPYJgkE13R7yZZeCvIPaTuGpbsKk96pcBLAjY-rBF4yWUA-HfiN5ONr8kAcTN4JiE42E05EqODyyUKUGDWeXMl-zSnQLD2n84GiilWRX8BqDwSXDanZADFmEkknivO7aYiaRTf7xYgTsyT5SoCTaeQz1hQjYQWdDWbj7rd_5Vp3MuDilPEgBtN5vu0LXmox7s2XJx1hjTJjwcNcVVK_qrETDMk7IrzWBCYRzhP7MkF-W2kM4iYOZkkN5hFhpwoKsJSEafDYjHvWY1blpSmvziiy9vdeX4HjibNdlqOeqF7IbI26s_CBkDOjLMkIGsBRoJCW1LyJgRVk4_F5wwPZ-JQJjpb8OOzDRvf4CDefbozLHT90iiAoyEqvU0_Sob9ULIJuUMhiQ__VDH1A-1HynnL2nnngcYs_4muutVgaq8pyVgV7dt8GfFpQvLpRl0_nxVc1-pxedIKflAtPcjMu3Z9cM93n215BTGznpY-DtDvViP83ynfDaG2vpoj34yGYxp6m8X5QGiyVq1P4r6nmf6847JFTUz9FYAzaICkIRCw3fxjoHZBCAhEHY8PlzfiFuYQIEdrb6ACcJ3FeP_lE9HsiP7N1eycvnEjKPYF8U3cVQovSTIx6Kg7ECk5FQ7FiB_eZYzsXWPq9qC3Pa7Ht4fpeXWBeFO3hIeptdW6GVOMPJYgoeENBHU2n9mSKfjglHZS0tgR1H0NFtnTr76\",\"summary\":[]}"},{"type":"toolCall","id":"call_vp3XgrQK1dMLs7tNipL628bU|fc_0d852cbc8d6115830169f9f52efe6c81949e3980a56603039a","name":"read","arguments":{"path":"/home/sebas/.agents/skills/memory-write/memory-write","offset":1,"limit":220}},{"type":"toolCall","id":"call_TQciqZcunUEsIyFx7RIHEetg|fc_0d852cbc8d6115830169f9f52efe7c81948852014a3ab4e71b","name":"bash","arguments":{"command":"python3 - <<'PY'\nimport sqlite3, json\nconn=sqlite3.connect('/mnt/rpi/agents-database/data/shared-agent-memory.sqlite3')\nconn.row_factory=sqlite3.Row\nprint('CONVERSATION_SOURCE_REFS')\nfor row in conn.execute(\"select source_ref, count(*) c, min(created_at) first_at, max(created_at) last_at from memories where source_kind='manual' and source_ref like 'conversation:%' group by source_ref order by datetime(last_at) desc limit 20\"):\n    print(json.dumps(dict(row), ensure_ascii=False))\nPY","timeout":15}},{"type":"toolCall","id":"call_qEk14FrtJCVDbI7RIsBw4r8U|fc_0d852cbc8d6115830169f9f52efe84819482e2dedad22097ed","name":"bash","arguments":{"command":"cd /mnt/rpi/agents-database && rg -n \"capture_session|capture_conversation|process_pending|consolidate_candidates|ingest\\(\" src tests docs -S","timeout":15}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":2776,"output":274,"cacheRead":26112,"cacheWrite":0,"totalTokens":29162,"cost":{"input":0.006940000000000001,"output":0.00411,"cacheRead":0.006528,"cacheWrite":0,"total":0.017578}},"stopReason":"toolUse","timestamp":1777988902108,"responseId":"resp_0d852cbc8d6115830169f9f52679208194b103a10447afcf9d"}}
{"type":"message","id":"45bb4254","parentId":"f211337b","timestamp":"2026-05-05T13:48:31.601Z","message":{"role":"toolResult","toolCallId":"call_vp3XgrQK1dMLs7tNipL628bU|fc_0d852cbc8d6115830169f9f52efe6c81949e3980a56603039a","toolName":"read","content":[{"type":"text","text":"#!/usr/bin/env python3\nimport argparse\nimport json\nimport sys\nimport urllib.request\n\n\ndef read_content(args):\n    if args.content is not None:\n        return args.content\n    if args.content_file:\n        with open(args.content_file, 'r', encoding='utf-8') as f:\n            return f.read()\n    if not sys.stdin.isatty():\n        return sys.stdin.read()\n    raise SystemExit('need --content, --content-file, or stdin')\n\n\ndef main():\n    p = argparse.ArgumentParser(description='Write memory to agents-database')\n    p.add_argument('--api', default=None)\n    p.add_argument('--id')\n    p.add_argument('--type', required=True)\n    p.add_argument('--subtype')\n    p.add_argument('--scope', required=True)\n    p.add_argument('--status', default='active')\n    p.add_argument('--source-kind', default='manual')\n    p.add_argument('--title', required=True)\n    p.add_argument('--content')\n    p.add_argument('--content-file')\n    p.add_argument('--summary')\n    p.add_argument('--project-id')\n    p.add_argument('--repo-id')\n    p.add_argument('--task-id')\n    p.add_argument('--run-id')\n    p.add_argument('--source-ref')\n    p.add_argument('--evidence-ref')\n    p.add_argument('--origin-agent')\n    p.add_argument('--url')\n    p.add_argument('--domain')\n    p.add_argument('--metadata', help='JSON object string')\n    args = p.parse_args()\n\n    content = read_content(args)\n    metadata = json.loads(args.metadata) if args.metadata else None\n    api = args.api or 'http://100.116.176.16:8091'\n    payload = {\n        'type': args.type,\n        'scope': args.scope,\n        'status': args.status,\n        'source_kind': args.source_kind,\n        'title': args.title,\n        'content': content,\n    }\n    optional = {\n        'id': args.id,\n        'subtype': args.subtype,\n        'summary': args.summary,\n        'project_id': args.project_id,\n        'repo_id': args.repo_id,\n        'task_id': args.task_id,\n        'run_id': args.run_id,\n        'source_ref': args.source_ref,\n        'evidence_ref': args.evidence_ref,\n        'origin_agent': args.origin_agent,\n        'url': args.url,\n        'domain': args.domain,\n        'metadata': metadata,\n    }\n    for k, v in optional.items():\n        if v is not None:\n            payload[k] = v\n\n    req = urllib.request.Request(\n        api.rstrip('/') + '/api/ingest',\n        data=json.dumps(payload).encode('utf-8'),\n        headers={'Content-Type': 'application/json'},\n        method='POST',\n    )\n    with urllib.request.urlopen(req, timeout=30) as r:\n        body = r.read().decode('utf-8')\n        print(body)\n\n\nif __name__ == '__main__':\n    main()\n"}],"isError":false,"timestamp":1777988911600}}
{"type":"message","id":"5e56e862","parentId":"45bb4254","timestamp":"2026-05-05T13:48:31.601Z","message":{"role":"toolResult","toolCallId":"call_TQciqZcunUEsIyFx7RIHEetg|fc_0d852cbc8d6115830169f9f52efe7c81948852014a3ab4e71b","toolName":"bash","content":[{"type":"text","text":"CONVERSATION_SOURCE_REFS\n{\"source_ref\": \"conversation:2026-05-01\", \"c\": 2, \"first_at\": \"2026-05-01T19:45:29.105695+00:00\", \"last_at\": \"2026-05-01T19:46:36.793893+00:00\"}\n{\"source_ref\": \"conversation:2026-05-01:vibes-install\", \"c\": 1, \"first_at\": \"2026-05-01T04:56:36.842289+00:00\", \"last_at\": \"2026-05-01T04:56:36.842289+00:00\"}\n{\"source_ref\": \"conversation:2026-05-01:/new-stale-ctx\", \"c\": 1, \"first_at\": \"2026-05-01T04:46:27.346689+00:00\", \"last_at\": \"2026-05-01T04:46:27.346689+00:00\"}\n{\"source_ref\": \"conversation:2026-04-30:maintenance-wrapper-fix\", \"c\": 1, \"first_at\": \"2026-04-30T23:53:17.928610+00:00\", \"last_at\": \"2026-04-30T23:53:17.928610+00:00\"}\n{\"source_ref\": \"conversation:2026-04-30\", \"c\": 1, \"first_at\": \"2026-04-30T23:34:35.028872+00:00\", \"last_at\": \"2026-04-30T23:34:35.028872+00:00\"}\n{\"source_ref\": \"conversation:2026-04-30:run-update-pi\", \"c\": 1, \"first_at\": \"2026-04-30T17:30:44.055250+00:00\", \"last_at\": \"2026-04-30T17:30:44.055250+00:00\"}\n{\"source_ref\": \"conversation:2026-04-29\", \"c\": 3, \"first_at\": \"2026-04-29T20:35:31.158198+00:00\", \"last_at\": \"2026-04-29T20:44:21.678062+00:00\"}\n{\"source_ref\": \"conversation:2026-04-23\", \"c\": 1, \"first_at\": \"2026-04-23T19:16:55.767526+00:00\", \"last_at\": \"2026-04-23T19:16:55.767526+00:00\"}\n{\"source_ref\": \"conversation:2026-03-13:custom-ai-solutions-income-idea\", \"c\": 1, \"first_at\": \"2026-03-13T22:14:34.981125+00:00\", \"last_at\": \"2026-03-13T22:14:34.981125+00:00\"}\n{\"source_ref\": \"conversation:2026-03-13:apartment-interior-design-goal\", \"c\": 1, \"first_at\": \"2026-03-13T22:11:51.271332+00:00\", \"last_at\": \"2026-03-13T22:11:51.271332+00:00\"}\n{\"source_ref\": \"conversation:2026-03-13:user-questionnaire-followup-6\", \"c\": 1, \"first_at\": \"2026-03-13T21:41:53.187742+00:00\", \"last_at\": \"2026-03-13T21:41:53.187742+00:00\"}\n{\"source_ref\": \"conversation:2026-03-13:user-questionnaire-followup-5\", \"c\": 7, \"first_at\": \"2026-03-13T21:40:53.176171+00:00\", \"last_at\": \"2026-03-13T21:40:53.187487+00:00\"}\n{\"source_ref\": \"conversation:2026-03-13:user-questionnaire-followup-4\", \"c\": 1, \"first_at\": \"2026-03-13T21:37:34.115536+00:00\", \"last_at\": \"2026-03-13T21:37:34.115536+00:00\"}\n{\"source_ref\": \"conversation:2026-03-13:user-questionnaire-followup-3\", \"c\": 4, \"first_at\": \"2026-03-13T21:36:20.594252+00:00\", \"last_at\": \"2026-03-13T21:36:20.598406+00:00\"}\n{\"source_ref\": \"conversation:2026-03-13:user-questionnaire-followup-2\", \"c\": 6, \"first_at\": \"2026-03-13T21:26:33.694262+00:00\", \"last_at\": \"2026-03-13T21:26:33.708687+00:00\"}\n{\"source_ref\": \"conversation:2026-03-13:user-questionnaire-followup\", \"c\": 12, \"first_at\": \"2026-03-13T21:19:16.023880+00:00\", \"last_at\": \"2026-03-13T21:19:16.037409+00:00\"}\n{\"source_ref\": \"conversation:2026-03-13:ballbox-volvox-resolution-rule\", \"c\": 1, \"first_at\": \"2026-03-13T20:18:43.250199+00:00\", \"last_at\": \"2026-03-13T20:18:43.250199+00:00\"}\n{\"source_ref\": \"conversation:2026-03-13:ballbox-volvox-alias\", \"c\": 1, \"first_at\": \"2026-03-13T20:16:10.623556+00:00\", \"last_at\": \"2026-03-13T20:16:10.623556+00:00\"}\n{\"source_ref\": \"conversation:2026-03-13:ballbox-context\", \"c\": 8, \"first_at\": \"2026-03-13T14:42:32.059069+00:00\", \"last_at\": \"2026-03-13T14:42:32.071593+00:00\"}\n"}],"isError":false,"timestamp":1777988911601}}
{"type":"message","id":"e8392055","parentId":"5e56e862","timestamp":"2026-05-05T13:48:31.605Z","message":{"role":"toolResult","toolCallId":"call_qEk14FrtJCVDbI7RIsBw4r8U|fc_0d852cbc8d6115830169f9f52efe84819482e2dedad22097ed","toolName":"bash","content":[{"type":"text","text":"src/shared_agent_memory/http_api.py:211:                    self._send_json(service.ingest(payload), status=HTTPStatus.CREATED)\ntests/test_memory_service.py:54:    service.capture_conversation(\"chat-1\", \"project\", \"We agreed to keep one active machine at a time.\")\ntests/test_memory_service.py:55:    processed = engine.process_pending()\ntests/test_memory_service.py:437:    service.consolidate_candidates(\nsrc/shared_agent_memory/engine.py:12:    def process_pending(self, limit: int | None = None) -> list[dict[str, Any]]:\nsrc/shared_agent_memory/engine.py:77:            return self.service.consolidate_candidates(config=job.get(\"metadata\") or {})\nsrc/shared_agent_memory/engine.py:89:        memory = self.service.ingest(\nsrc/shared_agent_memory/cli.py:157:        print(json.dumps(service.ingest(json.loads(args.payload_json)), indent=2))\nsrc/shared_agent_memory/cli.py:161:                service.capture_conversation(args.source_ref, args.scope, args.content, capture_mode=args.capture_mode),\nsrc/shared_agent_memory/cli.py:166:        print(json.dumps(service.capture_session(args.source_ref, args.scope, args.content), indent=2))\nsrc/shared_agent_memory/cli.py:168:        print(json.dumps(engine.process_pending(args.limit), indent=2))\ndocs/http-api.md:50:- `consolidate_candidates()` and maintenance jobs live behind `MemoryService`; the HTTP API exposes the store, not a separate memory subsystem.\nsrc/shared_agent_memory/service.py:128:    def ingest(self, memory_input: dict[str, Any]) -> dict[str, Any]:\nsrc/shared_agent_memory/service.py:131:    def capture_session(self, source_ref: str, scope: str, content: str, **metadata: Any) -> dict[str, Any]:\nsrc/shared_agent_memory/service.py:141:    def capture_conversation(\nsrc/shared_agent_memory/service.py:318:    def consolidate_candidates(self, *, config: dict[str, Any]) -> dict[str, Any]:\ndocs/system-v1.md:35:- `ingest()` accepts durable memory writes\ndocs/system-v1.md:36:- `capture_session()` and `capture_conversation()` create raw source material\ndocs/system-v1.md:37:- `process_pending()` turns pending ingestion events into episode memories\ndocs/system-v1.md:38:- `consolidate_candidates(config)` handles dedup, conflict detection, promotion, and optional synthesis\ndocs/shared-agent-memory-rfc.md:403:- `ingest(memory_input)`\ndocs/shared-agent-memory-rfc.md:404:- `capture_session(source_ref, scope)`\ndocs/shared-agent-memory-rfc.md:405:- `capture_conversation(source_ref, scope, capture_mode)`\n"}],"isError":false,"timestamp":1777988911601}}
{"type":"message","id":"b1c99f68","parentId":"e8392055","timestamp":"2026-05-05T13:48:37.490Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_0d852cbc8d6115830169f9f531cf0481948cfca86a470f041d\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-fU1gW8Dx6yjeNAhZS46COMCO0N-5K-m05fWib1J9zMA2pNbiPJPyO5G6CS-9rbAVj5RJXQgj1klakNKU-UoHT9jGDRNFyZp87xijd5jLWIa-NgasO9-8SaBBi71xdeiNPvDXkrKAjcElviOuXgVOPBa8RrJVlU72rBwt2_fz473V3_hK5UiDGfRV6oZpo9y7CgMwl_9D6PdxmpBSHNITW41zgVjVWdsBTPB21BNnhV1IhrSBHpHUq7SvGXrNZBWDhWkfm7Kd3HJNNuwzu5qOFvCrUETCFClVh9Ut19vWuhpCZITggezp-wp0ufrfPNAhlIP2StN8EXTy47qfuvsAATSe_9Sf9hsGhSt5eJ9_X83mv1IQIcJQiJZFUezwtLuYwkIgYZLpOwbH2A7sWSZXljjzOcpv6buA5O_uzVI9CYoia_UT6cmzB5Bgy4S66eaxVhxsZ_PTcfZB-1tKD1gZGAiLagkWZ_KeD-dhEsWqeuAjk3aKZI3_M3JSJ-eeZjqvWrmpUIwnk5whOshh94hPTRmt75CCdTJTKSDexlYT1N6Xn12pM4zO79qDOWgCsMYNuFfcyHnFa0697F345EiSyKQqz3HiPgvsZ2XNPwhjtDlWziXNWKw7douoRdGPvnowxkW7-p20shyv931Ndrn6kRPqq1bpOZG99ARLZucNT1VxJmrjgFoDgmcW4ytHJIwnk-O90f7lI0UOdgRBFHMh4rqvKa0Gr3zXwbpuTAWM18fQVnmCdQzaLMK6_WDm4CA2SAwJQ0wlpSLek3vID651r7a2eIpARqgp9W04AO_7tA2Jno38Iz1cpfVLYhYmot6O6XMxrOIjPBwnrpS-0cl1hImMRzguoyVvhDX5aJwkZlHvEYeFxHDkZRxXlxOb5Eckf-7eHzGbISucUu1y0j9AeGOleE6deIQQL_qsxpPuKzDUfqfsq4CCDSbGnTw8Sg5HCM1kKcPUfFDeMFh5UltBzHJsKDnySfXtIzn-9038StvySYikp0JpEwVS0vmBRzB2ySi\",\"summary\":[]}"},{"type":"toolCall","id":"call_ZxMwoX4qK8Yrgh4ia8bxlRPT|fc_0d852cbc8d6115830169f9f5352c9081948bac747f62993486","name":"read","arguments":{"path":"/mnt/rpi/agents-database/src/shared_agent_memory/service.py","offset":120,"limit":80}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":3140,"output":55,"cacheRead":28672,"cacheWrite":0,"totalTokens":31867,"cost":{"input":0.007850000000000001,"output":0.000825,"cacheRead":0.007168,"cacheWrite":0,"total":0.015843}},"stopReason":"toolUse","timestamp":1777988911602,"responseId":"resp_0d852cbc8d6115830169f9f52fe14081948b894e2cd5881688"}}
{"type":"message","id":"267ff3b6","parentId":"b1c99f68","timestamp":"2026-05-05T13:48:37.503Z","message":{"role":"toolResult","toolCallId":"call_ZxMwoX4qK8Yrgh4ia8bxlRPT|fc_0d852cbc8d6115830169f9f5352c9081948bac747f62993486","toolName":"read","content":[{"type":"text","text":"                )\n                \"\"\",\n                record,\n            )\n            self._upsert_fts(conn, record)\n        self._run_opportunistic_maintenance(limit=1)\n        return self.get_memory(record[\"id\"])\n\n    def ingest(self, memory_input: dict[str, Any]) -> dict[str, Any]:\n        return self.create_memory(memory_input)\n\n    def capture_session(self, source_ref: str, scope: str, content: str, **metadata: Any) -> dict[str, Any]:\n        return self._capture_source(\n            trigger_type=\"session_close\",\n            source_kind=\"run\",\n            source_ref=source_ref,\n            scope=scope,\n            content=content,\n            metadata=metadata,\n        )\n\n    def capture_conversation(\n        self, source_ref: str, scope: str, content: str, capture_mode: str = \"manual_import\", **metadata: Any\n    ) -> dict[str, Any]:\n        metadata = {\"capture_mode\": capture_mode, **metadata}\n        return self._capture_source(\n            trigger_type=\"conversation_capture\",\n            source_kind=\"conversation\",\n            source_ref=source_ref,\n            scope=scope,\n            content=content,\n            metadata=metadata,\n        )\n\n    def search(\n        self,\n        query: str,\n        scopes: list[str] | None = None,\n        filters: dict[str, Any] | None = None,\n        limit: int = 10,\n        include_inbox: bool = False,\n    ) -> dict[str, Any]:\n        filters = filters or {}\n        query_terms = [term for term in normalize_text(query).split() if term]\n        sql = [\"SELECT * FROM memories WHERE 1=1\"]\n        params: list[Any] = []\n\n        if scopes:\n            sql.append(f\"AND scope IN ({','.join('?' for _ in scopes)})\")\n            params.extend(scopes)\n        if not include_inbox:\n            sql.append(\"AND status = ?\")\n            params.append(\"active\")\n        params.extend(self._memory_filter_sql(sql, filters))\n\n        with self.store.connection() as conn:\n            rows = [self._row_to_memory(row) for row in conn.execute(\" \".join(sql), params)]\n\n        results: list[SearchResult] = []\n        query_embedding = self._text_embedding(query) if query_terms else []\n        for row in rows:\n            haystack = normalize_text(\" \".join([row[\"title\"], row[\"summary\"], row[\"content\"]]))\n            lexical = self._lexical_score(query_terms, haystack)\n            semantic = self._semantic_score(query_embedding, row.get(\"embedding\")) if query_terms else 0.0\n            facet = self._facet_score(row, filters)\n            if query_terms and lexical == 0 and semantic == 0 and facet == 0:\n                continue\n            score = facet * 0.45 + lexical * 0.3 + semantic * 0.15 + row[\"confidence\"] * 0.06 + row[\"freshness\"] * 0.04\n            explanation = (\n                f\"facets={facet:.2f} lexical={lexical:.2f} semantic={semantic:.2f} \"\n                f\"confidence={row['confidence']:.2f} freshness={row['freshness']:.2f}\"\n            )\n            results.append(SearchResult(row, score, explanation, facet, lexical, semantic))\n\n        ordered = sorted(\n            results,\n            key=lambda item: (\n                item.facet_score,\n                item.lexical_score,\n                item.semantic_score,\n\n[1510 more lines in file. Use offset=200 to continue.]"}],"isError":false,"timestamp":1777988917494}}
{"type":"message","id":"4f9086a4","parentId":"267ff3b6","timestamp":"2026-05-05T13:48:40.636Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_0d852cbc8d6115830169f9f536c6e88194b84f1d60702b9441\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-fU3l1c2jX90eWUgWraZ_ANWBKeFjUUq1IUTbK4lRqiVeEHcoDLZ63Dzrnf96LFWRDjjpkkr8DcUbRU0NDm_QrZvjv8l83QbBfGyj-QwD3fNFP4FH1CL_Y_kBSvw8JwGc2iI5xNBtewdTw2VLs8hMhPIkV-FnKqqWPwMGUkBjjJOToULSF0TUZ7uVHELct87H5mZnjDEE8GfTSCEV06267B-WIo9f60KIOi1ik-aG6WLEXoKiMeoSAALQydfgm7yGelaNlmO6CzCtCmWPqbt2fndellI_XEeXQ3lUgFNzCS9oW6md0Xik-GI6iWwRCJxQOv8c6UYbSKfxEZJrsJJDQRFanN-to02QGCMyYn28ViSy0T-RS-aOoriD_JWmc7ZXfazSA5nfwO8DoFaWI3pavehyZDvFdB4tWnnWEnQkdt5ciqwvak83O0pqsIIalC7s1L_9QFTVX-pCUPOXWOqLSiBrL66VuNTbXx4x1C9Y1bTDVVwlE8owPCKmojtZLOkSfdg11GpXQffgJBqBF-k5uC3BgcriCyrm9CcLHXENhN6VNjocAe0daxTWT9B4SRze9IRDIBM0jFWy37wpryqGiUEzsmvBZX_0Rv7hpL2xiO2iJ5dE2uK19DSHXzVnoZ2y7DMRaJTWBqhdok4cHHVIkmaZnGkJefEjP4Qx3KVfjKP7ziKPhgMCwHGG9odlDmwg49yHcrVqIAh4eQBscWRSZ2Le4tnlJQSrUL6xdTcEva4vF11Q8pKNuRtFgkKckuWfYk4qYb_3vVpt_I75hyHEgcLkSqFyPIHy4poG0OVdB-_jqojcRfh_zJyfLH3RkH-3efW32eg4S39nudSPCgEHrmyYnvSfWRaSgjzxV9TtVq5OORPn1xWimPHlh9q28YJxvlFZvKMCwppv8U7Gkqe8VhQnytqX6hodnzH3O105gqh3nbJQzQmY1b6x2YKn1-kI_9KpgUM4e4uSuC6oiIZtrZMcw==\",\"summary\":[]}"},{"type":"toolCall","id":"call_YJ4Y3yzLWjzLcxPzisqjjBOQ|fc_0d852cbc8d6115830169f9f537b90c81949336f059e519b3dd","name":"read","arguments":{"path":"/mnt/rpi/agents-database/src/shared_agent_memory/service.py","offset":1520,"limit":100}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":1384,"output":53,"cacheRead":31232,"cacheWrite":0,"totalTokens":32669,"cost":{"input":0.0034600000000000004,"output":0.000795,"cacheRead":0.007808,"cacheWrite":0,"total":0.012063}},"stopReason":"toolUse","timestamp":1777988917504,"responseId":"resp_0d852cbc8d6115830169f9f535dbd081948c33439e86713de3"}}
{"type":"message","id":"27140233","parentId":"4f9086a4","timestamp":"2026-05-05T13:48:40.678Z","message":{"role":"toolResult","toolCallId":"call_YJ4Y3yzLWjzLcxPzisqjjBOQ|fc_0d852cbc8d6115830169f9f537b90c81949336f059e519b3dd","toolName":"read","content":[{"type":"text","text":"        if source_ref.startswith(\"personal-agent:run:\"):\n            return source_ref.rsplit(\":\", 1)[-1]\n        if subtype == \"research_run\":\n            return row[\"id\"]\n        return None\n\n    def _infer_url(self, row: dict[str, Any], subtype: str | None) -> str | None:\n        if subtype in {\"research_source\", \"research_claim\", \"research_artifact\"}:\n            evidence_ref = row.get(\"evidence_ref\")\n            if isinstance(evidence_ref, str) and evidence_ref.startswith((\"http://\", \"https://\")):\n                return evidence_ref\n        return None\n\n    def _upsert_fts(self, conn: Any, record: dict[str, Any]) -> None:\n        conn.execute(\"DELETE FROM memories_fts WHERE memory_id = ?\", (record[\"id\"],))\n        conn.execute(\n            \"INSERT INTO memories_fts (memory_id, title, summary, content) VALUES (?, ?, ?, ?)\",\n            (record[\"id\"], record[\"title\"], record[\"summary\"], record[\"content\"]),\n        )\n\n    def _row_to_memory(self, row: Any) -> dict[str, Any]:\n        memory = dict(row)\n        memory[\"metadata\"] = self.store.loads(memory.pop(\"metadata_json\")) or {}\n        memory[\"embedding\"] = self._decode_embedding(memory.pop(\"embedding_json\"))\n        return memory\n\n    def _row_to_task(self, row: Any) -> dict[str, Any]:\n        task = dict(row)\n        task[\"metadata\"] = self.store.loads(task.pop(\"metadata_json\")) or {}\n        task[\"requires_human_input\"] = bool(task[\"requires_human_input\"])\n        return task\n\n    def _row_to_task_run(self, row: Any) -> dict[str, Any]:\n        run = dict(row)\n        run[\"input_payload\"] = self.store.loads(run.pop(\"input_payload_json\")) or {}\n        run[\"metadata\"] = self.store.loads(run.pop(\"metadata_json\")) or {}\n        return run\n\n    def _row_to_artifact(self, row: Any) -> dict[str, Any]:\n        artifact = dict(row)\n        artifact[\"metadata\"] = self.store.loads(artifact.pop(\"metadata_json\")) or {}\n        return artifact\n\n    def _row_to_maintenance_job(self, row: Any) -> dict[str, Any]:\n        job = dict(row)\n        job[\"metadata\"] = self.store.loads(job.pop(\"metadata_json\")) or {}\n        job[\"enabled\"] = bool(job[\"enabled\"])\n        return job\n\n    def _row_to_maintenance_run(self, row: Any) -> dict[str, Any]:\n        run = dict(row)\n        run[\"stats\"] = self.store.loads(run.pop(\"stats_json\")) or {}\n        return run\n\n    def _make_summary(self, content: str, max_len: int = 180) -> str:\n        compact = \" \".join(content.split())\n        return compact[: max_len - 1] + \"…\" if len(compact) > max_len else compact\n\n    def _encode_embedding(self, embedding: list[float] | None) -> str | None:\n        if embedding is None:\n            return None\n        return json.dumps(embedding)\n\n    def _decode_embedding(self, embedding: str | None) -> list[float] | None:\n        if not embedding:\n            return None\n        return list(json.loads(embedding))\n\n    def _lexical_score(self, query_terms: list[str], haystack: str) -> float:\n        if not query_terms:\n            return 0.0\n        matches = sum(1 for term in query_terms if term in haystack)\n        return matches / len(query_terms)\n\n    def _text_embedding(self, text: str, dimensions: int = 8) -> list[float]:\n        vector = [0.0] * dimensions\n        for token in normalize_text(text).split():\n            for idx, char in enumerate(token.encode(\"utf-8\")):\n                vector[idx % dimensions] += float(char)\n        norm = math.sqrt(sum(value * value for value in vector))\n        if norm == 0:\n            return vector\n        return [value / norm for value in vector]\n\n    def _semantic_score(self, query_embedding: list[float], memory_embedding: list[float] | None) -> float:\n        if not query_embedding or memory_embedding is None:\n            return 0.0\n        numerator = sum(a * b for a, b in zip(query_embedding, memory_embedding))\n        return max(0.0, min(1.0, numerator))\n\n    def _table_exists(self, conn: Any, table: str) -> bool:\n        row = conn.execute(\"SELECT name FROM sqlite_master WHERE type = 'table' AND name = ?\", (table,)).fetchone()\n        return row is not None\n\n    def _count_if_table_exists(self, conn: Any, table: str) -> int:\n        if not self._table_exists(conn, table):\n            return 0\n        return conn.execute(f\"SELECT COUNT(*) AS count FROM {table}\").fetchone()[\"count\"]\n\n    def _compute_next_due(\n\n[90 more lines in file. Use offset=1620 to continue.]"}],"isError":false,"timestamp":1777988920644}}
{"type":"message","id":"74faa905","parentId":"27140233","timestamp":"2026-05-05T13:48:43.334Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_0d852cbc8d6115830169f9f539ba108194ac2f3910859e88ba\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-fU67-E2XiLT9zdMXC6I_ZTveJKI5EpRZu7KMnYLdHJXQgy2AWcs_WiEJOdRVBofzMGb8ql1x9wUg3IJ2yN5tUIFJmMms0q_psIGNg7vimUgSS6jtMNoMRAZ1JSm3Sa2XFEjehQU_ta2x95LsruAtuQLwqIRQW1oTmWxvGWfakHBj_TEB8VzX-TEYRrRTqkunlABwN-hhUNg-5fhSpzVfGz1c6Xgp29y0AO1EO-EerG5obeltA04yov3jslH493gw-aXTowPE3bpnsWMQ-YTop_KYyuYYbmgoEU2qoNZBJjdp4bncVFtwAFjwfvyvQfc1lE23NutwzjwYtM2DDMZLM4CvhljfpGTJbdkJfPiwOon6GlYf6HQw12WyjUKkZ95HAXS9BEWRadMVgArHl3tY28fNLrppxKMVhnII3ceopXARRByCzLwGymrDDNDN6cVcveNhXHpIGE3R84JOMBlDH_nx66URaM2UoVYAzVcUQk9aKVTDojCRkIuc3Pcl_8kcEptKEoYUcl4ryurkAbEVE8bOJwtf-QVFfGU9SvWdzGiVo1SCcpR-GZlW8KCoG4Y0C_rlRX0FMyp3LuBcjJPrDNAMKObfjTe1qKl8CRJ59fo1gXtzUnU4aisbGZoFqH8MmUwdV6K51ZtslIGi814e_zstb8rSgn9OClPA9Q9Y6n8r2Nx7_Wc_yeLKT5eSh5lqI3EnDmRuSgktA9V58Hya5S7xbfxMngqmo5F_vbOoT16bJpZ0UCnQwX1Zkb-2IPjOA7m8HAdfzgt7Xe5mzbgdXnqLuoYDmDq7k2qGBGbMQvyxtpR2Xq26QWvx2BtwdL-byM8aTRShwufoWvGs0MHiuW6te4zQyF4jJc0vTWCfWc7lwBHb6yZNw2x2Y-HSDhjvRKNh-bx_a1Al8H5uINsMyTPkOb4Lux61gD2P0XN1O-5gRqW5WLpP7P2PiSNo3CK9KYLYiAXxF06FKbvT_0Uh0JS0A==\",\"summary\":[]}"},{"type":"toolCall","id":"call_EZzqpAtr3D30lYN0DKynajJt|fc_0d852cbc8d6115830169f9f53a8e3c81948538acabe19416f9","name":"bash","arguments":{"command":"cd /mnt/rpi/agents-database && rg -n \"def _capture_source|capture_session\\(|capture_conversation\\(\" src/shared_agent_memory/service.py -n -A40 -B10","timeout":15}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":1490,"output":76,"cacheRead":32256,"cacheWrite":0,"totalTokens":33822,"cost":{"input":0.0037250000000000004,"output":0.00114,"cacheRead":0.008064,"cacheWrite":0,"total":0.012929}},"stopReason":"toolUse","timestamp":1777988920679,"responseId":"resp_0d852cbc8d6115830169f9f538f4c481948b79475fa9279864"}}
{"type":"message","id":"9b29bf0a","parentId":"74faa905","timestamp":"2026-05-05T13:48:43.344Z","message":{"role":"toolResult","toolCallId":"call_EZzqpAtr3D30lYN0DKynajJt|fc_0d852cbc8d6115830169f9f53a8e3c81948538acabe19416f9","toolName":"bash","content":[{"type":"text","text":"121-                \"\"\",\n122-                record,\n123-            )\n124-            self._upsert_fts(conn, record)\n125-        self._run_opportunistic_maintenance(limit=1)\n126-        return self.get_memory(record[\"id\"])\n127-\n128-    def ingest(self, memory_input: dict[str, Any]) -> dict[str, Any]:\n129-        return self.create_memory(memory_input)\n130-\n131:    def capture_session(self, source_ref: str, scope: str, content: str, **metadata: Any) -> dict[str, Any]:\n132-        return self._capture_source(\n133-            trigger_type=\"session_close\",\n134-            source_kind=\"run\",\n135-            source_ref=source_ref,\n136-            scope=scope,\n137-            content=content,\n138-            metadata=metadata,\n139-        )\n140-\n141:    def capture_conversation(\n142-        self, source_ref: str, scope: str, content: str, capture_mode: str = \"manual_import\", **metadata: Any\n143-    ) -> dict[str, Any]:\n144-        metadata = {\"capture_mode\": capture_mode, **metadata}\n145-        return self._capture_source(\n146-            trigger_type=\"conversation_capture\",\n147-            source_kind=\"conversation\",\n148-            source_ref=source_ref,\n149-            scope=scope,\n150-            content=content,\n151-            metadata=metadata,\n152-        )\n153-\n154-    def search(\n155-        self,\n156-        query: str,\n157-        scopes: list[str] | None = None,\n158-        filters: dict[str, Any] | None = None,\n159-        limit: int = 10,\n160-        include_inbox: bool = False,\n161-    ) -> dict[str, Any]:\n162-        filters = filters or {}\n163-        query_terms = [term for term in normalize_text(query).split() if term]\n164-        sql = [\"SELECT * FROM memories WHERE 1=1\"]\n165-        params: list[Any] = []\n166-\n167-        if scopes:\n168-            sql.append(f\"AND scope IN ({','.join('?' for _ in scopes)})\")\n169-            params.extend(scopes)\n170-        if not include_inbox:\n171-            sql.append(\"AND status = ?\")\n172-            params.append(\"active\")\n173-        params.extend(self._memory_filter_sql(sql, filters))\n174-\n175-        with self.store.connection() as conn:\n176-            rows = [self._row_to_memory(row) for row in conn.execute(\" \".join(sql), params)]\n177-\n178-        results: list[SearchResult] = []\n179-        query_embedding = self._text_embedding(query) if query_terms else []\n180-        for row in rows:\n181-            haystack = normalize_text(\" \".join([row[\"title\"], row[\"summary\"], row[\"content\"]]))\n--\n1099-                            utcnow(),\n1100-                            utcnow(),\n1101-                            self.store.dumps({}),\n1102-                        ),\n1103-                    )\n1104-                    migrated[\"handoff_artifacts\"] += 1\n1105-                conn.execute(\"DROP TABLE handoffs\")\n1106-        after = self.audit_v2()\n1107-        return {\"status\": \"ok\", \"before\": before, \"after\": after, \"migrated\": migrated}\n1108-\n1109:    def _capture_source(\n1110-        self, trigger_type: str, source_kind: str, source_ref: str, scope: str, content: str, metadata: dict[str, Any]\n1111-    ) -> dict[str, Any]:\n1112-        now = utcnow()\n1113-        source = {\n1114-            \"id\": make_id(\"src\"),\n1115-            \"source_kind\": source_kind,\n1116-            \"title\": metadata.get(\"title\") or source_ref,\n1117-            \"content\": content,\n1118-            \"source_ref\": source_ref,\n1119-            \"metadata_json\": self.store.dumps(metadata),\n1120-            \"created_at\": now,\n1121-        }\n1122-        event = {\n1123-            \"id\": make_id(\"ing\"),\n1124-            \"trigger_type\": trigger_type,\n1125-            \"source_id\": source[\"id\"],\n1126-            \"requested_scope\": scope,\n1127-            \"job_state\": \"pending\",\n1128-            \"processor_outcome\": None,\n1129-            \"retry_count\": 0,\n1130-            \"error_message\": None,\n1131-            \"created_at\": now,\n1132-            \"updated_at\": now,\n1133-            \"processed_at\": None,\n1134-        }\n1135-        with self.store.connection() as conn:\n1136-            conn.execute(\n1137-                \"\"\"\n1138-                INSERT INTO sources (id, source_kind, title, content, source_ref, metadata_json, created_at)\n1139-                VALUES (:id, :source_kind, :title, :content, :source_ref, :metadata_json, :created_at)\n1140-                \"\"\",\n1141-                source,\n1142-            )\n1143-            conn.execute(\n1144-                \"\"\"\n1145-                INSERT INTO ingestion_events (\n1146-                    id, trigger_type, source_id, requested_scope, job_state, processor_outcome,\n1147-                    retry_count, error_message, created_at, updated_at, processed_at\n1148-                ) VALUES (\n1149-                    :id, :trigger_type, :source_id, :requested_scope, :job_state, :processor_outcome,\n"}],"isError":false,"timestamp":1777988923343}}
{"type":"message","id":"a5719336","parentId":"9b29bf0a","timestamp":"2026-05-05T13:48:45.530Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_2eRHgTs7Hwapy4HnmMPLIN2J|fc_0d852cbc8d6115830169f9f53cb8d48194a714cae89240631e","name":"read","arguments":{"path":"/mnt/rpi/agents-database/src/shared_agent_memory/service.py","offset":1109,"limit":80}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":1761,"output":39,"cacheRead":33280,"cacheWrite":0,"totalTokens":35080,"cost":{"input":0.0044025,"output":0.000585,"cacheRead":0.00832,"cacheWrite":0,"total":0.0133075}},"stopReason":"toolUse","timestamp":1777988923345,"responseId":"resp_0d852cbc8d6115830169f9f53ba73c8194871b8bf6a7aa4bab"}}
{"type":"message","id":"f4e88730","parentId":"a5719336","timestamp":"2026-05-05T13:48:45.554Z","message":{"role":"toolResult","toolCallId":"call_2eRHgTs7Hwapy4HnmMPLIN2J|fc_0d852cbc8d6115830169f9f53cb8d48194a714cae89240631e","toolName":"read","content":[{"type":"text","text":"    def _capture_source(\n        self, trigger_type: str, source_kind: str, source_ref: str, scope: str, content: str, metadata: dict[str, Any]\n    ) -> dict[str, Any]:\n        now = utcnow()\n        source = {\n            \"id\": make_id(\"src\"),\n            \"source_kind\": source_kind,\n            \"title\": metadata.get(\"title\") or source_ref,\n            \"content\": content,\n            \"source_ref\": source_ref,\n            \"metadata_json\": self.store.dumps(metadata),\n            \"created_at\": now,\n        }\n        event = {\n            \"id\": make_id(\"ing\"),\n            \"trigger_type\": trigger_type,\n            \"source_id\": source[\"id\"],\n            \"requested_scope\": scope,\n            \"job_state\": \"pending\",\n            \"processor_outcome\": None,\n            \"retry_count\": 0,\n            \"error_message\": None,\n            \"created_at\": now,\n            \"updated_at\": now,\n            \"processed_at\": None,\n        }\n        with self.store.connection() as conn:\n            conn.execute(\n                \"\"\"\n                INSERT INTO sources (id, source_kind, title, content, source_ref, metadata_json, created_at)\n                VALUES (:id, :source_kind, :title, :content, :source_ref, :metadata_json, :created_at)\n                \"\"\",\n                source,\n            )\n            conn.execute(\n                \"\"\"\n                INSERT INTO ingestion_events (\n                    id, trigger_type, source_id, requested_scope, job_state, processor_outcome,\n                    retry_count, error_message, created_at, updated_at, processed_at\n                ) VALUES (\n                    :id, :trigger_type, :source_id, :requested_scope, :job_state, :processor_outcome,\n                    :retry_count, :error_message, :created_at, :updated_at, :processed_at\n                )\n                \"\"\",\n                event,\n            )\n        self._run_opportunistic_maintenance(limit=1)\n        return {\"source\": source, \"event\": event}\n\n    def _run_opportunistic_maintenance(self, *, limit: int) -> None:\n        if self._maintenance_check_running:\n            return\n        due_jobs = self.list_due_maintenance_jobs(limit=1)\n        if not due_jobs:\n            return\n        self._maintenance_check_running = True\n        try:\n            from .engine import MemoryEngine\n\n            MemoryEngine(self).run_due_maintenance(limit=limit)\n        except Exception:\n            return\n        finally:\n            self._maintenance_check_running = False\n\n    def _memory_filter_sql(self, sql: list[str], filters: dict[str, Any]) -> list[Any]:\n        params: list[Any] = []\n        allowed = {\"project_id\", \"repo_id\", \"type\", \"subtype\", \"run_id\", \"task_id\", \"origin_agent\", \"url\", \"domain\"}\n        for key, value in filters.items():\n            if key not in allowed or value is None:\n                continue\n            sql.append(f\"AND {key} = ?\")\n            params.append(value)\n        return params\n\n    def _facet_score(self, memory: dict[str, Any], filters: dict[str, Any]) -> float:\n        tracked = [\"project_id\", \"repo_id\", \"type\", \"subtype\", \"run_id\", \"task_id\", \"origin_agent\", \"url\", \"domain\"]\n        applied = [key for key in tracked if filters.get(key) is not None]\n        if not applied:\n            return 0.0\n\n[521 more lines in file. Use offset=1189 to continue.]"}],"isError":false,"timestamp":1777988925537}}
{"type":"message","id":"17c3446a","parentId":"f4e88730","timestamp":"2026-05-05T13:48:53.716Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_0d852cbc8d6115830169f9f5425a8081948e58564b4607de51\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-fVEitOnrFQIs7LHD6QGm5dU6qjJ9P2OkENJOGWA2DRTEeRoZvKUHr6HoCYrUX2yR1MYCblagcEtnZQNXQ8M_3DWv3TWY49yHY5_r_bdARLt_p8eShv2iWpG67FrtqQpYiq3EcAoLSc2I06SVyr1zITYgfDqQwc2EtEnjPHl75b80BUIyOGAzPxJgcftMqKPlqKjIX5CnEJ6CEPWAZcznolaQUsrrXcZBNT2QfByFHEZmSVyDCUroxtAMkzqCIIDfEPhvdVPsboKDgajbvahEfdBWUXRVTpvCRmrjQwyyklP1F13cGRrpOyNB78p0rJqW7hPuFT56U6ra3Hk9r4GSQeiNtNRabvFjeFOUz6Ku2cO5bJccGI6fH92Nd_qjE4HcS-wVe6ZmkQV0n-uiQlk5zADBOtoGrKbMys27dRtsdCodUFvOAPUz0zrCFtasfktRoFrJNzmAFsCZFwWQy2PNc3MIXSZEpjw2k-QJpSDwSbVsoWFsvXfR4u9WfOpk9UNdZ9hs0D1Oy05ERfTlPf26IwUxm8wNL5hzIy6EIW7RdU7TlrvaFE8DrVRLdw-7MfzQP-pLnpcelhXANXNuDEYAnxF0uC6Fm6OZNbPtTVxaEk-KwdvUk1gK-8oWeuYx3nU7drjCTju_2NnBgnSBxIag2IE0y6A3ZhQy-NfNtkVou0sQCLAki-1L0yGLqRuAq8TuxM6dMygY-WA-3BK44fOI2QxXR9OKP7nm9wcsYVIWpN_6U00t7LaQS7EM6g0ccd9w3UPRs1eqyy3Ckchkyy9ws3-Lw_QZxs76ZzIZ1weuKEM1zKskGtFetSUFZ0xRGzkdNiH0dukYP_QgSqplicQMTzEgHPGkrceBTGs7NYxqLH7QogrwS3loAU37HNIbPTcvPXfP9pHdK90vIaQHDfNq9gPTSJCa8nt4XEhEC3pJ8GVYZ1UInuyRikksPCSQ_SrsDjkZKajTCySnGp9Klut-t3Gb6G6djpPf-twUoSkQizeElDlKlCl-UcWP6bFFfKy732ybrvUf6C6PvqI4AwZZD4eLw==\",\"summary\":[]}"},{"type":"toolCall","id":"call_BGpTMrnd3QCiMquDnx6gNGCX|fc_0d852cbc8d6115830169f9f544801881948c9324bac188fa56","name":"read","arguments":{"path":"/mnt/rpi/agents-database/src/shared_agent_memory/engine.py","offset":1,"limit":140}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":1012,"output":58,"cacheRead":34816,"cacheWrite":0,"totalTokens":35886,"cost":{"input":0.00253,"output":0.00087,"cacheRead":0.008704,"cacheWrite":0,"total":0.012104}},"stopReason":"toolUse","timestamp":1777988925556,"responseId":"resp_0d852cbc8d6115830169f9f53e52448194a66add3bb154b234"}}
{"type":"message","id":"7175993d","parentId":"17c3446a","timestamp":"2026-05-05T13:48:53.749Z","message":{"role":"toolResult","toolCallId":"call_BGpTMrnd3QCiMquDnx6gNGCX|fc_0d852cbc8d6115830169f9f544801881948c9324bac188fa56","toolName":"read","content":[{"type":"text","text":"from __future__ import annotations\n\nfrom typing import Any\n\nfrom .service import MemoryService, make_id, utcnow\n\n\nclass MemoryEngine:\n    def __init__(self, service: MemoryService) -> None:\n        self.service = service\n\n    def process_pending(self, limit: int | None = None) -> list[dict[str, Any]]:\n        events = self.service.list_pending_events()\n        if limit is not None:\n            events = events[:limit]\n\n        processed: list[dict[str, Any]] = []\n        for event in events:\n            try:\n                processed.append(self._process_event(event))\n                self.service.mark_event(event[\"id\"], \"completed\", outcome=\"extracted\")\n            except Exception as exc:  # pragma: no cover - defensive\n                self.service.mark_event(event[\"id\"], \"failed\", error_message=str(exc))\n        return processed\n\n    def run_due_maintenance(self, *, limit: int | None = None, job_id: str | None = None) -> list[dict[str, Any]]:\n        if job_id:\n            jobs = [self.service.get_maintenance_job(job_id)]\n        else:\n            jobs = self.service.list_due_maintenance_jobs(limit=limit)\n        results: list[dict[str, Any]] = []\n        for job in jobs:\n            run = self.service.create_maintenance_run(job[\"id\"])\n            try:\n                stats = self._run_maintenance_job(job)\n                self.service.finish_maintenance_run(\n                    run[\"id\"],\n                    status=\"completed\",\n                    summary=f\"{job['job_type']} completed\",\n                    stats=stats,\n                )\n                next_due = self.service._compute_next_due(\n                    utcnow(),\n                    job[\"cadence\"],\n                    job.get(\"interval_minutes\"),\n                    job.get(\"window_start\"),\n                    job.get(\"window_end\"),\n                )\n                self.service.update_maintenance_job(\n                    job[\"id\"],\n                    next_due_at=next_due,\n                    last_run_at=utcnow(),\n                    last_status=\"completed\",\n                    last_summary=f\"{job['job_type']} completed\",\n                )\n                results.append({\"job_id\": job[\"id\"], \"status\": \"completed\", \"stats\": stats})\n            except Exception as exc:\n                self.service.finish_maintenance_run(\n                    run[\"id\"],\n                    status=\"failed\",\n                    summary=f\"{job['job_type']} failed\",\n                    stats={},\n                    error_message=str(exc),\n                )\n                self.service.update_maintenance_job(\n                    job[\"id\"],\n                    last_run_at=utcnow(),\n                    last_status=\"failed\",\n                    last_summary=str(exc),\n                )\n                results.append({\"job_id\": job[\"id\"], \"status\": \"failed\", \"error\": str(exc)})\n        return results\n\n    def _run_maintenance_job(self, job: dict[str, Any]) -> dict[str, Any]:\n        job_type = job.get(\"job_type\")\n        if job_type == \"consolidation\":\n            return self.service.consolidate_candidates(config=job.get(\"metadata\") or {})\n        return {\"skipped\": True, \"reason\": f\"unknown job_type {job_type}\"}\n\n    def _process_event(self, event: dict[str, Any]) -> dict[str, Any]:\n        with self.service.store.connection() as conn:\n            source = conn.execute(\"SELECT * FROM sources WHERE id = ?\", (event[\"source_id\"],)).fetchone()\n            if source is None:\n                raise KeyError(event[\"source_id\"])\n            source_dict = dict(source)\n\n        content = source_dict[\"content\"]\n        summary = self.service._make_summary(content)\n        memory = self.service.ingest(\n            {\n                \"id\": make_id(\"mem\"),\n                \"type\": \"episode\",\n                \"scope\": self._normalize_scope(event[\"requested_scope\"]),\n                \"status\": \"inbox\",\n                \"source_kind\": source_dict[\"source_kind\"],\n                \"title\": source_dict[\"title\"],\n                \"content\": content,\n                \"summary\": summary,\n                \"confidence\": 0.6,\n                \"freshness\": 1.0,\n                \"observed_at\": source_dict[\"created_at\"],\n                \"source_ref\": source_dict[\"source_ref\"],\n                \"evidence_ref\": source_dict[\"id\"],\n                \"embedding\": self.service._text_embedding(content),\n                \"metadata\": {\n                    \"ingested_by\": \"memory-engine\",\n                    \"trigger_type\": event[\"trigger_type\"],\n                    \"captured_at\": utcnow(),\n                },\n            }\n        )\n        return {\"event_id\": event[\"id\"], \"memory_id\": memory[\"id\"]}\n\n    def _normalize_scope(self, requested_scope: str) -> str:\n        if requested_scope in {\"global\", \"project\", \"repo\", \"agent\", \"session\"}:\n            return requested_scope\n        return \"session\"\n"}],"isError":false,"timestamp":1777988933735}}
{"type":"message","id":"9d9cfbb2","parentId":"7175993d","timestamp":"2026-05-05T13:49:01.409Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_0d852cbc8d6115830169f9f546d5ec8194a96c7ad3258d65c3\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-fVJcvszY4vRDtjz1JfBXIl3PAj_0UOkcis14yegIh5UxEwB2icjaQuZNIvpRH74Crv9rzww0actMueJfNaKcjPMjuL1DDiZS7V36YQfPj9n29FdIrxyeTZiWb5M6MiUbIzlULZHs2L9-SqNZ4Q-O0D2rho6pqyoZ7C-oChJo2iPNPOr9g1PnnLgo6OiQYSMs7Ioxkx6vVDRP5hpq4oeJ2W44b8xNIxM4i3rod6BW2uPT33HwFsJS7M7IBRhk_KYPIMqoV0dRML6PGE4HmQ9kmeIFiCsDStAJSR7QAepYrzVC2vFAUHaEYHLNXGA3p4XOWHXheAV3GDtFOvxjWYQ3qEHK3iW4d0JtvhKYJZ-yo-0MsnSu6x5pEodPtuzR1ZMLzQv6vvNWtUJWRI68I-bUMRfOeyK3L7pK4pUN8OE4s3X4VfTP7Npn5ygpAkOiTNxTI2LNa8-CQExu2MsCX1kkTQUpyLMe-3wiBsvRfocyAgBGxfnHRwIQKklJ0onjsJlzGb8rKSLkO-vyM5wQZ5lqAEx9CyaZuoL9qpCy6oVWIliQO08WaGSZ6IRFqfpABmbIPYXQoTb6r09mJ1QOQfj5oQY-JvMY_Fhz_2wDamH-P2k6KCOAJcJudEyrYKuXnTRf2pP_cs7urNjNpHAMOlRJxyBX1Dg3Q55OEX9LtVDQHumv0wuvWDSkIezR-pbJ30oJFUyzdFEROv8xZ0CdIYOrzxx2hTscTb6IpVTncAg15DDBYDto5dorDws9-bsJ2dTdAQUFCXa2dDfWF2_D-w4Cu2_MRslmccewW-f_u-DC9_Bm9S8U9aXjxN-fmPxRND3GXSBX8XJ4C_QIXtTLzZKgejJsXkNsxeDQAr9WPn-LoIJWTZ2CmOCitm7OqG9qkWyxH_OUyTP8uAJPnSNDb5iTE1UeK9GfPyWpeMkjV4wslw_fa3NEwEVm2XoeuKMk84oLxrGxuoxZ_ztqGFASZFaDSXHpJmuD2WDohlNhpNqfTzOky6lDy-Zl9zvPcMEk7CxEqoLo6zjww7bAYGuuspAbzBMRSEAAo8UJi4Gb3FJ9_EXDYIXeZKt4vW1spMl_aPXmL35ClvcmzDBxaqSH-YoyAG2nQ==\",\"summary\":[]}"},{"type":"toolCall","id":"call_5PXVKVRMRHK3kFKEXCdNf6hG|fc_0d852cbc8d6115830169f9f5490a38819493deb941d70c04f5","name":"bash","arguments":{"command":"python3 - <<'PY'\nimport sqlite3, json\nconn=sqlite3.connect('/mnt/rpi/agents-database/data/shared-agent-memory.sqlite3')\nconn.row_factory=sqlite3.Row\nprint('MEMORIES_BY_SOURCE_KIND')\nfor row in conn.execute(\"select source_kind, count(*) c from memories group by source_kind order by c desc\"):\n    print(dict(row))\nprint('\\nRECENT_CONVERSATION_OR_RUN_MEMORIES')\nfor row in conn.execute(\"select id, type, status, source_kind, title, source_ref, created_at, updated_at, metadata_json from memories where source_kind in ('conversation','run') order by datetime(updated_at) desc limit 20\"):\n    print(json.dumps(dict(row), ensure_ascii=False))\nprint('\\nRECENT_INGESTION_EVENTS')\nfor row in conn.execute(\"select id, trigger_type, requested_scope, job_state, processor_outcome, created_at, updated_at, processed_at from ingestion_events order by datetime(created_at) desc limit 20\"):\n    print(json.dumps(dict(row), ensure_ascii=False))\nprint('\\nRECENT_SOURCES')\nfor row in conn.execute(\"select id, source_kind, title, source_ref, created_at, metadata_json from sources order by datetime(created_at) desc limit 20\"):\n    print(json.dumps(dict(row), ensure_ascii=False))\nPY","timeout":15}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":1542,"output":353,"cacheRead":35328,"cacheWrite":0,"totalTokens":37223,"cost":{"input":0.0038550000000000004,"output":0.005295,"cacheRead":0.008832,"cacheWrite":0,"total":0.017981999999999998}},"stopReason":"toolUse","timestamp":1777988933750,"responseId":"resp_0d852cbc8d6115830169f9f5460d908194b59927119e35aa6b"}}
{"type":"message","id":"3ae7b2d3","parentId":"9d9cfbb2","timestamp":"2026-05-05T13:49:01.479Z","message":{"role":"toolResult","toolCallId":"call_5PXVKVRMRHK3kFKEXCdNf6hG|fc_0d852cbc8d6115830169f9f5490a38819493deb941d70c04f5","toolName":"bash","content":[{"type":"text","text":"MEMORIES_BY_SOURCE_KIND\n{'source_kind': 'manual', 'c': 187}\n{'source_kind': 'document', 'c': 22}\n{'source_kind': 'run', 'c': 14}\n\nRECENT_CONVERSATION_OR_RUN_MEMORIES\n{\"id\": \"legacy_run_9fdccb34-cf1e-47bd-b133-a224f363a6d4\", \"type\": \"episode\", \"status\": \"active\", \"source_kind\": \"run\", \"title\": \"Research run: Investigate personal assistant patterns\", \"source_ref\": \"personal-agent:run:9fdccb34-cf1e-47bd-b133-a224f363a6d4\", \"created_at\": \"2026-03-13T14:01:39.630931+00:00\", \"updated_at\": \"2026-04-30T17:32:27.368015+00:00\", \"metadata_json\": \"{\\\"assumptions\\\": \\\"v1 defaults\\\", \\\"goal\\\": \\\"Investigate personal assistant patterns\\\", \\\"run_status\\\": \\\"completed\\\", \\\"schema\\\": \\\"shared-agent-memory-v2\\\", \\\"scope\\\": \\\"recent setup patterns\\\", \\\"subtype\\\": \\\"research_run\\\", \\\"summary\\\": \\\"Seeded baseline run for personal-agent verification.\\\"}\"}\n{\"id\": \"legacy_run_a8512264-8cd5-4c3c-b62f-7528625227f1\", \"type\": \"episode\", \"status\": \"active\", \"source_kind\": \"run\", \"title\": \"Research run: Verify capture-url flow\", \"source_ref\": \"personal-agent:run:a8512264-8cd5-4c3c-b62f-7528625227f1\", \"created_at\": \"2026-03-13T14:01:39.632489+00:00\", \"updated_at\": \"2026-04-30T17:32:27.368368+00:00\", \"metadata_json\": \"{\\\"assumptions\\\": \\\"e2e verification\\\", \\\"goal\\\": \\\"Verify capture-url flow\\\", \\\"run_status\\\": \\\"active\\\", \\\"schema\\\": \\\"shared-agent-memory-v2\\\", \\\"scope\\\": \\\"local file capture\\\", \\\"subtype\\\": \\\"research_run\\\", \\\"summary\\\": \\\"Verify capture-url flow\\\"}\"}\n{\"id\": \"legacy_run_55b6eaa0-9ff5-438c-a375-50f0452079cb\", \"type\": \"episode\", \"status\": \"active\", \"source_kind\": \"run\", \"title\": \"Research run: Drive Ballbox payment integration toward Volvox-style demo on vending machine Android flow\", \"source_ref\": \"personal-agent:run:55b6eaa0-9ff5-438c-a375-50f0452079cb\", \"created_at\": \"2026-03-13T14:01:39.633673+00:00\", \"updated_at\": \"2026-04-30T17:32:27.368445+00:00\", \"metadata_json\": \"{\\\"assumptions\\\": \\\"Current repo is ballbox-payment-integration unless another Volvox-specific repo appears later\\\", \\\"goal\\\": \\\"Drive Ballbox payment integration toward Volvox-style demo on vending machine Android flow\\\", \\\"run_status\\\": \\\"active\\\", \\\"schema\\\": \\\"shared-agent-memory-v2\\\", \\\"scope\\\": \\\"Confirm repo alignment, identify gaps, iterate to demoable QR payment flow\\\", \\\"subtype\\\": \\\"research_run\\\", \\\"summary\\\": \\\"Drive Ballbox payment integration toward Volvox-style demo on vending machine Android flow\\\"}\"}\n{\"id\": \"legacy_run_bfe3ad5d-ed7c-4727-bd72-7b9f5b7b0cc7\", \"type\": \"episode\", \"status\": \"active\", \"source_kind\": \"run\", \"title\": \"Research run: Source 50+ inch China displays for Ballbox advertising in padel venues\", \"source_ref\": \"personal-agent:run:bfe3ad5d-ed7c-4727-bd72-7b9f5b7b0cc7\", \"created_at\": \"2026-03-13T14:01:39.634873+00:00\", \"updated_at\": \"2026-04-30T17:32:27.368506+00:00\", \"metadata_json\": \"{\\\"assumptions\\\": \\\"Need shortlist first, not final purchase decision\\\", \\\"goal\\\": \\\"Source 50+ inch China displays for Ballbox advertising in padel venues\\\", \\\"run_status\\\": \\\"active\\\", \\\"schema\\\": \\\"shared-agent-memory-v2\\\", \\\"scope\\\": \\\"Made-in-China, Alibaba, similar suppliers; indoor or outdoor; browser/fullscreen capable preferred\\\", \\\"subtype\\\": \\\"research_run\\\", \\\"summary\\\": \\\"Source 50+ inch China displays for Ballbox advertising in padel venues\\\"}\"}\n{\"id\": \"legacy_run_8248124f-5145-475f-a3c7-a37b619abfa0\", \"type\": \"episode\", \"status\": \"active\", \"source_kind\": \"run\", \"title\": \"Research run: Test intake flow\", \"source_ref\": \"personal-agent:run:8248124f-5145-475f-a3c7-a37b619abfa0\", \"created_at\": \"2026-03-13T14:01:39.636174+00:00\", \"updated_at\": \"2026-04-30T17:32:27.368568+00:00\", \"metadata_json\": \"{\\\"assumptions\\\": \\\"none\\\", \\\"goal\\\": \\\"Test intake flow\\\", \\\"run_status\\\": \\\"active\\\", \\\"schema\\\": \\\"shared-agent-memory-v2\\\", \\\"scope\\\": \\\"demo\\\", \\\"subtype\\\": \\\"research_run\\\", \\\"summary\\\": \\\"Test intake flow\\\"}\"}\n{\"id\": \"legacy_run_b07bc538-5cab-4243-a1d3-c7a7fa55a0a7\", \"type\": \"episode\", \"status\": \"active\", \"source_kind\": \"run\", \"title\": \"Research run: Drive ballbox-payment-integration to a demoable vending-machine QR payment flow\", \"source_ref\": \"personal-agent:run:b07bc538-5cab-4243-a1d3-c7a7fa55a0a7\", \"created_at\": \"2026-03-13T14:01:39.637766+00:00\", \"updated_at\": \"2026-04-30T17:32:27.368626+00:00\", \"metadata_json\": \"{\\\"assumptions\\\": \\\"volvox reference maps to this repo; final flow is machine launcher -> QR page -> payment approval -> callback -> success/demo output\\\", \\\"goal\\\": \\\"Drive ballbox-payment-integration to a demoable vending-machine QR payment flow\\\", \\\"run_status\\\": \\\"active\\\", \\\"schema\\\": \\\"shared-agent-memory-v2\\\", \\\"scope\\\": \\\"Current target repo is ballbox-payment-integration; confirm fit to machine Android launcher flow and iterate toward demo\\\", \\\"subtype\\\": \\\"research_run\\\", \\\"summary\\\": \\\"Drive ballbox-payment-integration to a demoable vending-machine QR payment flow\\\"}\"}\n{\"id\": \"legacy_run_2c54c32b-3cf1-426b-98a6-9c43971573ff\", \"type\": \"episode\", \"status\": \"active\", \"source_kind\": \"run\", \"title\": \"Research run: Find China-sourced 50+ inch displays for Ballbox advertising in covered padel clubs\", \"source_ref\": \"personal-agent:run:2c54c32b-3cf1-426b-98a6-9c43971573ff\", \"created_at\": \"2026-03-13T14:01:39.638922+00:00\", \"updated_at\": \"2026-04-30T17:32:27.368687+00:00\", \"metadata_json\": \"{\\\"assumptions\\\": \\\"Fullscreen browser preferred; exact hardware/software stack can be validated later; no final purchase decision yet\\\", \\\"goal\\\": \\\"Find China-sourced 50+ inch displays for Ballbox advertising in covered padel clubs\\\", \\\"run_status\\\": \\\"active\\\", \\\"schema\\\": \\\"shared-agent-memory-v2\\\", \\\"scope\\\": \\\"Prioritize covered clubs first; shortlist suppliers/screens from Alibaba, Made-in-China, or similar\\\", \\\"subtype\\\": \\\"research_run\\\", \\\"summary\\\": \\\"Find China-sourced 50+ inch displays for Ballbox advertising in covered padel clubs\\\"}\"}\n{\"id\": \"legacy_run_fbe3fc0d-b05c-455e-9afe-1b17b4640d97\", \"type\": \"episode\", \"status\": \"active\", \"source_kind\": \"run\", \"title\": \"Research run: Responder a Codex sin salir de una película en fullscreen, con UI mínima y poco intrusiva, y evaluar cómo implementarlo\", \"source_ref\": \"personal-agent:run:fbe3fc0d-b05c-455e-9afe-1b17b4640d97\", \"created_at\": \"2026-03-13T14:01:39.640125+00:00\", \"updated_at\": \"2026-04-30T17:32:27.368751+00:00\", \"metadata_json\": \"{\\\"assumptions\\\": \\\"La prioridad es uso personal en la Mac de Sebas; se acepta prototipo primero; no se decidi\\\\u00f3 todav\\\\u00eda si ser\\\\u00e1 app nativa, helper global, overlay del sistema o integraci\\\\u00f3n con una app existente\\\", \\\"goal\\\": \\\"Responder a Codex sin salir de una pel\\\\u00edcula en fullscreen, con UI m\\\\u00ednima y poco intrusiva, y evaluar c\\\\u00f3mo implementarlo\\\", \\\"run_status\\\": \\\"completed\\\", \\\"schema\\\": \\\"shared-agent-memory-v2\\\", \\\"scope\\\": \\\"Mac local; tarea doble: investigar enfoques posibles y luego construir/probar un overlay o input transparente que aparezca solo al responder mientras una pel\\\\u00edcula est\\\\u00e1 en pantalla completa\\\", \\\"subtype\\\": \\\"research_run\\\", \\\"summary\\\": \\\"Conclusi\\\\u00f3n: no conviene app nativa primero. Orden simple: 1) BetterTouchTool para overlay/input sin reinventar, 2) Raycast si basta una UI ya hecha, 3) Hammerspoon si hace falta overlay transparente y m\\\\u00e1s control. Gaps: falta probar cu\\\\u00e1l de las tres convive mejor con tu reproductor fullscreen concreto y con el env\\\\u00edo real a Codex.\\\"}\"}\n{\"id\": \"legacy_run_a7fe5fbd-4892-4398-ab1a-71337f923ed7\", \"type\": \"episode\", \"status\": \"active\", \"source_kind\": \"run\", \"title\": \"Research run: Analyze the best next steps to make ballbox-payment-integration production-ready\", \"source_ref\": \"personal-agent:run:a7fe5fbd-4892-4398-ab1a-71337f923ed7\", \"created_at\": \"2026-03-13T14:01:39.641266+00:00\", \"updated_at\": \"2026-04-30T17:32:27.368808+00:00\", \"metadata_json\": \"{\\\"assumptions\\\": \\\"Current repo now has a working demo flow in mock mode; production requires real launcher, payment, and dispense contracts\\\", \\\"goal\\\": \\\"Analyze the best next steps to make ballbox-payment-integration production-ready\\\", \\\"run_status\\\": \\\"active\\\", \\\"schema\\\": \\\"shared-agent-memory-v2\\\", \\\"scope\\\": \\\"From validated mock demo flow to real machine/payment production path\\\", \\\"subtype\\\": \\\"research_run\\\", \\\"summary\\\": \\\"Analyze the best next steps to make ballbox-payment-integration production-ready\\\"}\"}\n{\"id\": \"legacy_run_35bd54a1-0135-414e-9c6b-245fca772f54\", \"type\": \"episode\", \"status\": \"active\", \"source_kind\": \"run\", \"title\": \"Research run: Production-readiness plan for ballbox-payment-integration\", \"source_ref\": \"personal-agent:run:35bd54a1-0135-414e-9c6b-245fca772f54\", \"created_at\": \"2026-03-13T14:01:39.642436+00:00\", \"updated_at\": \"2026-04-30T17:32:27.368861+00:00\", \"metadata_json\": \"{\\\"assumptions\\\": \\\"Local repo assessment only; external provider contracts and production infra not yet validated.\\\", \\\"goal\\\": \\\"Production-readiness plan for ballbox-payment-integration\\\", \\\"run_status\\\": \\\"active\\\", \\\"schema\\\": \\\"shared-agent-memory-v2\\\", \\\"scope\\\": \\\"Capture repository-based evidence, claims, and follow-up tasks for first production deployment readiness.\\\", \\\"subtype\\\": \\\"research_run\\\", \\\"summary\\\": \\\"Production-readiness plan for ballbox-payment-integration\\\"}\"}\n{\"id\": \"legacy_run_1f1a3fd4-eb28-4e99-891f-07c97243a06f\", \"type\": \"episode\", \"status\": \"active\", \"source_kind\": \"run\", \"title\": \"Research run: Produce a production-readiness plan for ballbox-payment-integration\", \"source_ref\": \"personal-agent:run:1f1a3fd4-eb28-4e99-891f-07c97243a06f\", \"created_at\": \"2026-03-13T14:01:39.643717+00:00\", \"updated_at\": \"2026-04-30T17:32:27.368925+00:00\", \"metadata_json\": \"{\\\"assumptions\\\": \\\"Plan based on the local repository state on 2026-03-11; no current vendor docs or live infrastructure state were validated; target is first production deployment, not long-term platform redesign.\\\", \\\"goal\\\": \\\"Produce a production-readiness plan for ballbox-payment-integration\\\", \\\"run_status\\\": \\\"active\\\", \\\"schema\\\": \\\"shared-agent-memory-v2\\\", \\\"scope\\\": \\\"Assess the current repository state, identify the minimum work required for a safe production deployment, and sequence the work into an executable plan without changing the application code yet.\\\", \\\"subtype\\\": \\\"research_run\\\", \\\"summary\\\": \\\"Produce a production-readiness plan for ballbox-payment-integration\\\"}\"}\n{\"id\": \"legacy_run_7e6517b3-759f-4063-8d98-121d9cba45c5\", \"type\": \"episode\", \"status\": \"active\", \"source_kind\": \"run\", \"title\": \"Research run: Find online references for the GitHub organization Trading-Mastery\", \"source_ref\": \"personal-agent:run:7e6517b3-759f-4063-8d98-121d9cba45c5\", \"created_at\": \"2026-03-13T14:01:39.644949+00:00\", \"updated_at\": \"2026-04-30T17:32:27.368981+00:00\", \"metadata_json\": \"{\\\"assumptions\\\": \\\"Use public web sources only; private repo access unavailable; scripts/run.sh referenced by the skill is absent so personal.py is used as fallback.\\\", \\\"goal\\\": \\\"Find online references for the GitHub organization Trading-Mastery\\\", \\\"run_status\\\": \\\"completed\\\", \\\"schema\\\": \\\"shared-agent-memory-v2\\\", \\\"scope\\\": \\\"Identify public references tied to the Trading-Mastery GitHub org and distinguish confirmed facts from likely-but-unverified associations.\\\", \\\"subtype\\\": \\\"research_run\\\", \\\"summary\\\": \\\"Confirmed: Trading-Mastery is a public GitHub org with zero public repos, and Trading Mastery has an active public web presence at tradingmastery.com.au plus members/go subdomains. Unconfirmed: no public source found in this pass that directly links the website business to the GitHub org or proves the private repo named Trading Mastery backend.\\\"}\"}\n{\"id\": \"legacy_run_b12b10fb-c56e-4774-aaa6-c2088b2668ab\", \"type\": \"episode\", \"status\": \"active\", \"source_kind\": \"run\", \"title\": \"Research run: Map named individuals to Humand engineering via public references\", \"source_ref\": \"personal-agent:run:b12b10fb-c56e-4774-aaa6-c2088b2668ab\", \"created_at\": \"2026-03-13T14:01:39.646260+00:00\", \"updated_at\": \"2026-04-30T17:32:27.369041+00:00\", \"metadata_json\": \"{\\\"assumptions\\\": \\\"Private repo access unavailable; names may be ambiguous; no sensitive behavioral labels will be stored.\\\", \\\"goal\\\": \\\"Map named individuals to Humand engineering via public references\\\", \\\"run_status\\\": \\\"active\\\", \\\"schema\\\": \\\"shared-agent-memory-v2\\\", \\\"scope\\\": \\\"Check whether the named people can be publicly linked to Humand, especially engineering roles, and store only verified/tentative public affiliation data.\\\", \\\"subtype\\\": \\\"research_run\\\", \\\"summary\\\": \\\"Map named individuals to Humand engineering via public references\\\"}\"}\n{\"id\": \"legacy_run_73698c1a-612d-456d-b178-6286ae9ab9cd\", \"type\": \"episode\", \"status\": \"active\", \"source_kind\": \"run\", \"title\": \"Research run: Persist user/project facts from chat\", \"source_ref\": \"personal-agent:run:73698c1a-612d-456d-b178-6286ae9ab9cd\", \"created_at\": \"2026-03-13T14:01:39.647471+00:00\", \"updated_at\": \"2026-04-30T17:32:27.369103+00:00\", \"metadata_json\": \"{\\\"assumptions\\\": \\\"User-provided facts are acceptable as first-party memory without external source\\\", \\\"goal\\\": \\\"Persist user/project facts from chat\\\", \\\"run_status\\\": \\\"completed\\\", \\\"schema\\\": \\\"shared-agent-memory-v2\\\", \\\"scope\\\": \\\"Sebas preferences and project wiring\\\", \\\"subtype\\\": \\\"research_run\\\", \\\"summary\\\": \\\"Stored Sebas project wiring facts for street-cast-pwa and street-cast-server main branches, plus instruction to persist future notable user/project facts.\\\"}\"}\n\nRECENT_INGESTION_EVENTS\n\nRECENT_SOURCES\n"}],"isError":false,"timestamp":1777988941478}}
{"type":"message","id":"587cf868","parentId":"3ae7b2d3","timestamp":"2026-05-05T13:49:13.527Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_0d852cbc8d6115830169f9f552b7b08194aaab324ed19b0024\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-fVXnAvrPcKyaErhgHcGx0sfbrXNl7DBFQL2GSwxdpqDPxuhGLwKgC3WoWYksa-zsb7wRjVJlUNGjFsDFS64zay89A_obuKn9w5WXLt2b1hEReUB4qDm5QDPwMpIwPDK8trTT8EQJpZu4eh3DnQT2tLJ2jVXM9xo0HgrSbe_gOdymihWK6Vjf7PWosP3akqGtRgZxhOjhnoVEC_Z9AAGybbI-WV8qHBOi15d6biuHYhy4o0JTb0UA2AdsDvjXLQaK6r80DEOvWrPRtH6x37zMVZjtuOfa6HuJqMwYq1KWBNqE17oI68JUqf2BJ1Z5PQ4epsLfe0f8yrAr3TKfz7aaNgC15c6cVpFjQFRVZ81p3T4XxVUj7u2oUKfr3ALV-JX0-B-gdZ5OWhpTzI9tQ8VbRXnwwhcpdA_ipo9CVFgWVzdvpK2fyn1w1jgHuPKcA3iwSUoCxto03yDqjijQnzAE715-L40MGQo73HCKa1CvDEljP9dYQ-mckpKI8seqcd4E2ZBqctnQP7ooY1798BbjsXgbJx0CY9-ju-2tDMKrhq9pRnBcUJibhDvuzGqGsRpLOaO0sa4VyxGnopBXzUX4thWGXXFHPrsS_70nKLBfXMROZu91OehD-I-j3mQw8lg19cquJSDWtznkRi_2cXF47PGM-w2QY54bEoR7yjvG0v0n30mDO4IdKu6yZFIxYvPmhkhZPWg6EqEVTaydYBlaEEhwlcwXu4_gNbnvbQsJ4qFFORch5caoKtmn8wq5ClBN9frvu25Mzw_DQ-JutXaiZFXXOPFQpHmQ9d4xlbEIFcKY_7It2XF6yx4YRXOsFwlIyonX4y2GX2jShWtBW7_s7Gu3mFo6z95wL9Z5a1_l8qd5-52m_jnQPNcnXPZgkOod5zYpCtwC3r35omktXr5fmkhniiAsY0uSZlkvr-Ffc4fZNv-TlXPhm5S1mYmoTTWC2MGuhae9sPELr8_fo27nlG7U53CnHyXeWgn3VFfrdUv6gN222W1n6fcAr1qY43i_9I4_xEmSdE-U7fEKCQER4KHstooXCdsA68rYmWmfNFahsHzjhfpAdVEwXmstmHmEZB3bTa_6zhRtc7av0D5Bmk51vDK7mQqJ-tP9VueXf0v5im3jgYjzKP8rAxH9rOxdTl00ZwfYc0ekSaGBstftaluHqrJnhQJ7rm8L8B81_TOuEDoVi7ZKBQgr8HoosDaPUwC5Bt5nvkU6MHLzOAaSSArKc8qlTpWgT3d44iRvfH0uMsVovaZgQrkTAXf2ofg52FDoejIflBACW1SA7-VbSeWKluo6u2EHEN5F91AplZ2GPodXJ5obyvkd8f98viILqIsj-FOIY6E0HVfa9bu7P31xvEihIAXSF2Qr3nN-bn31tfxUThKcEK5ehGkfLikuzUGbYnKj0lWZ0F5YnjfFcMOzIChJNo-h5NjETatuuzp5Nujk7O9dTowKbJjV4AuShdtjW7ZoYMHf3ooqyXvqpIFOYkZz3PoX15VF-pHV6wsrn5irblbDiHVVMtwY_RM-zZIrMy_uB7tbnjywBNrDxYzsjBXujwPHO4Typ6J3RukoCiWNWisv5BS1x2fmUfhRrlga0mpxzrw-jhec_99gHbjlgXjokTQv2Y2f0bqcnQBonLEO2CUdiZ3_u_COJRrUjlpRiafRW8ylTYve1BElcszQz0BHJA4SV8EdEB8BIlYAAQ36dtXB07juyZeY721NVur-154qwzWJuyZiDRRfHoc8_xHYBuPLxY-mj_ZM3icdv-cLTJ2ZLDljBAT90Tb9fVrbGW9_jyuD9o2pTw5SIsRkm5IUZWdNia6XosBnn_mCNIiJTW9dAKn1LJaLamBdTNnZ7EJz5Wrpkk0TUbjFrMQ5p2ewG7Io7--GsX1yH9iiQ0FjAL7R4dl6-tnlMDOq9ZZsIB_B9ApLhvHs_2LCNOM1u_fP2bqUAxx6NccdOdn2j_s3mOP2KrxHI-zSbUCHsrTlsttcho0htjuuHTY_nen_WALvN-PLVRSZUfnch2yUhRQvLaHM3e3XV7IkG7OLn0iZ_H7lB6pDtFw_GVw9Q6k0Q==\",\"summary\":[]}"},{"type":"toolCall","id":"call_h3Aj0K7gza3xrZwZHRDpKd7p|fc_0d852cbc8d6115830169f9f5570a4c8194955d6966d972cf8f","name":"bash","arguments":{"command":"python3 - <<'PY'\nimport sqlite3, json\nconn=sqlite3.connect('/mnt/rpi/agents-database/data/shared-agent-memory.sqlite3')\nconn.row_factory=sqlite3.Row\nprint('LONGEST_CONVERSATION_SPANS')\nfor row in conn.execute(\"select source_ref, count(*) c, min(created_at) first_at, max(created_at) last_at, round((julianday(max(created_at)) - julianday(min(created_at))) * 24 * 60, 2) as span_min from memories where source_kind='manual' and source_ref like 'conversation:%' group by source_ref having c > 1 order by span_min desc limit 10\"):\n    print(json.dumps(dict(row), ensure_ascii=False))\nPY","timeout":15}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":4849,"output":361,"cacheRead":36352,"cacheWrite":0,"totalTokens":41562,"cost":{"input":0.012122500000000001,"output":0.0054150000000000005,"cacheRead":0.009087999999999999,"cacheWrite":0,"total":0.0266255}},"stopReason":"toolUse","timestamp":1777988941480,"responseId":"resp_0d852cbc8d6115830169f9f54e336c8194b355071758f0fd10"}}
{"type":"message","id":"12e02518","parentId":"587cf868","timestamp":"2026-05-05T13:49:13.570Z","message":{"role":"toolResult","toolCallId":"call_h3Aj0K7gza3xrZwZHRDpKd7p|fc_0d852cbc8d6115830169f9f5570a4c8194955d6966d972cf8f","toolName":"bash","content":[{"type":"text","text":"LONGEST_CONVERSATION_SPANS\n{\"source_ref\": \"conversation:2026-04-29\", \"c\": 3, \"first_at\": \"2026-04-29T20:35:31.158198+00:00\", \"last_at\": \"2026-04-29T20:44:21.678062+00:00\", \"span_min\": 8.84}\n{\"source_ref\": \"conversation:2026-05-01\", \"c\": 2, \"first_at\": \"2026-05-01T19:45:29.105695+00:00\", \"last_at\": \"2026-05-01T19:46:36.793893+00:00\", \"span_min\": 1.13}\n{\"source_ref\": \"conversation:2026-03-13:user-questionnaire-followup-5\", \"c\": 7, \"first_at\": \"2026-03-13T21:40:53.176171+00:00\", \"last_at\": \"2026-03-13T21:40:53.187487+00:00\", \"span_min\": 0.0}\n{\"source_ref\": \"conversation:2026-03-13:user-questionnaire-followup-3\", \"c\": 4, \"first_at\": \"2026-03-13T21:36:20.594252+00:00\", \"last_at\": \"2026-03-13T21:36:20.598406+00:00\", \"span_min\": 0.0}\n{\"source_ref\": \"conversation:2026-03-13:user-questionnaire-followup-2\", \"c\": 6, \"first_at\": \"2026-03-13T21:26:33.694262+00:00\", \"last_at\": \"2026-03-13T21:26:33.708687+00:00\", \"span_min\": 0.0}\n{\"source_ref\": \"conversation:2026-03-13:user-questionnaire-followup\", \"c\": 12, \"first_at\": \"2026-03-13T21:19:16.023880+00:00\", \"last_at\": \"2026-03-13T21:19:16.037409+00:00\", \"span_min\": 0.0}\n{\"source_ref\": \"conversation:2026-03-13:ballbox-context\", \"c\": 8, \"first_at\": \"2026-03-13T14:42:32.059069+00:00\", \"last_at\": \"2026-03-13T14:42:32.071593+00:00\", \"span_min\": 0.0}\n"}],"isError":false,"timestamp":1777988953570}}
{"type":"message","id":"f35fb969","parentId":"12e02518","timestamp":"2026-05-05T13:49:27.278Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_0d852cbc8d6115830169f9f55ad5a8819486fb18c1afacb265\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-fVb4H7H9C2UmVJnRefdB-4tYk182Z2UAD_Cc0DfChq5sQ04jpYIdBbgE6eCqsXUX_sM9WxSCQzLGX-RU4DiSXMncMp36n-aZojz3WT7ZOKAt3h0MctqSxy1JISbIrMt-E3ZRdtbkJeD4-b7LcEqDUM7Fk5FqGChI5UkMpAyxKx8kEQNSJsbShO-_gVzccrnIvK_TDYL-BtUSrJgyhFbEPcUhmQRKgfa-ZbjoKHV8kLSg1ksUwgL0Mrwb01Cyj6Z4KOmlYdsJLw3eXsl5IkP7A1GI_HJ6gLPIxWtZrKvx6Xi0O4tstLFKnBxWbcIZjsTCARox3LICAmVRA9rWph8N9VdvpDWuiRbWQy1uZbxbFahVE0Ei_0o00yejGo_cQU3QPI74AVz4D3r2N1bwdvVkYQrR0DdDZihJUZl-67uVBB6KVAt28eRg9vba_8w-RZHrbTfBhk4hCUk5K9rKmK635X9jfSllobP2McKqdB5jCI3TPEzsbnLNsg25O2XF5n27mj2Zpl7K3UeVGF0noBSHVRSsNJ6zZM3wFJV0cqghV09i5BxVOn1qysu990UDiX02piD7XaJj_jn80kYdJfIQbIbReKJICgFluWukPj-0_JdH3xDvscvdMudDRPisboqoHUMXz3-X_qyK2SyqnQDDPjNMSG4MiTQQDfV9f91eKlPP_Y7_2r_PRUd8NFYYncWj1tZpBMcZx25w0bJwl_w2TobbBPAXjmi-T7PsNpesHEzGKZib-It585LU5s_OfR2pwq596eBZh6Xm9bshkErOQWZ0QJgFGF0Z4WQUtZdtXYXGE-pQkJBEyp4KfTgEaFjhFSjai6jvKch9xp5afeHW0lTidy9HjisWWDo6zU8hTCVFUBpiEIRV7StcmcZGqu_KYj2sFO-TtW9sWSS8C1LlE5clLaeMKeY9Ssl9SKTO6ckDR_vdTV6lbEnawgprXMrm_Qx\",\"summary\":[]}"},{"type":"text","text":"Yes. Checked.\n\nWhat “manual” means here:\n- not human-manual\n- it means **direct `POST /api/ingest` writes**\n- that is what the `memory-write` helper does\n- helper default is `--source-kind manual`\n\nSo agent-written memories can still be under `source_kind=manual`.\n\nHow to tell mid-session vs end-session:\n\n### 1) Direct-ingest path vs capture pipeline\nThere are two different paths in the service:\n\n- **Direct write**: `ingest()`  \n  -> creates memory row right away  \n  -> usually `source_kind=manual`\n\n- **Session/conversation capture**: `capture_session()` / `capture_conversation()`  \n  -> writes to `sources` + `ingestion_events` first  \n  -> later `process_pending()` turns those into `episode` memories  \n  -> would show `source_kind=run` or `source_kind=conversation`\n\nCurrent DB says:\n- memories by source kind:\n  - `manual`: 187\n  - `document`: 22\n  - `run`: 14\n- `sources` table: no recent rows\n- `ingestion_events` table: no recent rows\n- no recent `conversation` source_kind memories at all\n- recent `run` memories are only old legacy imported runs\n\nSo right now:\n- **the active pattern is direct ingest by the agent**\n- **the auto capture/session-close pipeline is basically not being used**\n\n### 2) Heuristic from timestamps/source_ref\nRecent agent-written memories have refs like:\n- `conversation:2026-05-01`\n- `conversation:2026-05-01:vibes-install`\n- `conversation:2026-04-30:maintenance-wrapper-fix`\n\nThat means the agent is tagging them as conversation-derived, but still saving them through direct ingest.\n\nTiming clues:\n- `conversation:2026-05-01` → 2 memories over `1.13 min`\n- `conversation:2026-04-29` → 3 memories over `8.84 min`\n\nThat strongly suggests at least some are **mid-session writes**, not pure “only after session end”.\n\nIf it were true end-of-session batching only, I’d expect:\n- one compact episode per conversation, or\n- a tight burst only at close time\n\nInstead, some conversation refs span minutes.\n\n### Bottom line\n- **Yes, those “manual” rows are AI-agent writes.**\n- **Most recent memory writes are direct agent ingests.**\n- **Some are clearly mid-session.**\n- **I do not see evidence that the formal post-session capture pipeline is active right now.**\n\nBest current test:\n- if we see rows in `sources` / `ingestion_events`, that’s session/conversation capture\n- if we only see `memories` rows with `source_kind=manual`, that’s direct agent write\n- current system is almost entirely the second case\n\nIf you want, I can next:\n1. trace where the agent is calling `memory-write`\n2. find whether session-end capture exists but is not wired\n3. add a clean marker so future writes say `mid_session` vs `session_end` explicitly","textSignature":"{\"v\":1,\"id\":\"msg_0d852cbc8d6115830169f9f55b379c81949ee245ff4d0c8b3e\",\"phase\":\"final_answer\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":1204,"output":676,"cacheRead":40960,"cacheWrite":0,"totalTokens":42840,"cost":{"input":0.00301,"output":0.01014,"cacheRead":0.010239999999999999,"cacheWrite":0,"total":0.02339}},"stopReason":"stop","timestamp":1777988953571,"responseId":"resp_0d852cbc8d6115830169f9f55a029c8194878dfb970393c3e6"}}
{"type":"message","id":"6785564c","parentId":"f35fb969","timestamp":"2026-05-05T14:31:25.239Z","message":{"role":"user","content":[{"type":"text","text":"lets test if \"auto capture/session-close pipeline is not working\"\nill open and close another session to trigger it and you check recent memories"}],"timestamp":1777991485233}}
{"type":"message","id":"5e5aebea","parentId":"6785564c","timestamp":"2026-05-05T14:31:28.499Z","message":{"role":"assistant","content":[{"type":"text","text":"Do that.\n\nAfter you close it, send:\n- approximate close time\n- agent/session name if known\n\nThen I’ll check:\n- new `sources`\n- new `ingestion_events`\n- new `episode` memories from capture pipeline\n- whether anything got promoted by maintenance\n\nIf you want cleaner detection, wait 1–2 min after closing before telling me.","textSignature":"{\"v\":1,\"id\":\"msg_0d852cbc8d6115830169f9ff3ed62881949a3b7c67a77bcd46\",\"phase\":\"final_answer\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":21981,"output":79,"cacheRead":20480,"cacheWrite":0,"totalTokens":42540,"cost":{"input":0.0549525,"output":0.001185,"cacheRead":0.0051199999999999996,"cacheWrite":0,"total":0.0612575}},"stopReason":"stop","timestamp":1777991485235,"responseId":"resp_0d852cbc8d6115830169f9ff3dfe3c8194aa83765ad4f7da54"}}
{"type":"message","id":"418c18b6","parentId":"5e5aebea","timestamp":"2026-05-05T14:32:07.738Z","message":{"role":"user","content":[{"type":"text","text":"just did"}],"timestamp":1777991527731}}
{"type":"message","id":"d393355e","parentId":"418c18b6","timestamp":"2026-05-05T14:32:15.677Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Inspecting recent sources**\n\nI think I need to examine recent sources or memories to gather relevant information. It's important to understand what has been noted lately and see if there’s anything significant to highlight. I want to make sure I'm up-to-date and accurate in whatever I share. So, this step will help me ensure I'm accessing the most recent insights or updates that might be needed for the user. Let’s get started!","thinkingSignature":"{\"id\":\"rs_0d852cbc8d6115830169f9ff6929988194b0382095accbfe97\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-f9vlZDuyX0Y8B97RAIh2hxiQXcHwLFg7Sh9SuHNd_BHQUPXpZpTs1I0J2hbS9HBjCHBVqI8eD_rBGv8_exaDSFOhEKthuexdgC6CZyHw40qsMqhiYBhIgrru_a-uPHg61xeLVWTXpShYc5sS6KnZNzOD1wXGJqSFrVWqsK_PYL6gOM_e8YBWZFdvzX-IDTM5lN8rRf-4-iPiXClUnHNSk0bYLJNgfPsQm6EUw-hKBdPYww9IbPrvtaY2X2xCSk4CRTNo7mKRoFlgPme57z8RzbkqAs8Zb8Sv54jBiYydp3YU6kf_6Ytgr_g_dta-dWsrN1aCglwan6QJZeD9D6XcER-szu8A0zFfVqhVN-2qdBlMp2P_ssFl6AN-JYOtCscLdgdYAO3RvhDXZJDcUOTW7HqW_AefBLBSdbXcgQJI05UbUNBy5xfiqcFOdtISnw40hghVHc_fmgf3YsCsYarQAK2Ztijt8O7s_TZkKsVj7KNK5g_6gsCeCGluOseOvrR92jmztUcEXFKpQCNLGggt5qSd-NU6u8cRXIJSH6buatZ1S7o2Ks0pPbAIiWHZLo3o6yKwTxoLNnsyrCcnAb4Tku4n4Tw2-gkU_7z9zh3ojMiDCcJSag_jBpiLxBQj307Y10fZaSIemE72WM1i2pMEozTOmsjFmkSF3fb2IerotIdIltK7XNw7AElwJs96_kRwN8axWLoSF2TOqkb1-udU44twK9al3H19a1QqdwUPbP_WaveNIn_JBDwDjtdNWenO9YRAwq-hLSomin8AH9XG4kmstO9y-PRX7Ht0PqtUnVmvycrwLQOVvi8CScAkkKOs4CLC69cbnVdpMXUysLa8X0rspID1KBiWhuwi5uXJGUpudtl4B_R-8hyHYEsAmUxSB5e4I7FLzfJNbKqqz4ZFZJTrAI_6LYtHWBP258I0Z9PQRqgG7jhlho8EECjtagkbkQYcQf5Fs1GQadT8UPYRQzelajf_Wxzeax08HJdD9PTrX8=\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Inspecting recent sources**\\n\\nI think I need to examine recent sources or memories to gather relevant information. It's important to understand what has been noted lately and see if there’s anything significant to highlight. I want to make sure I'm up-to-date and accurate in whatever I share. So, this step will help me ensure I'm accessing the most recent insights or updates that might be needed for the user. Let’s get started!\"}]}"},{"type":"toolCall","id":"call_vlN73SlKu2hj2mCmP1wXrCvR|fc_0d852cbc8d6115830169f9ff6f78ac8194a69c83dfa53a9032","name":"bash","arguments":{"command":"python3 - <<'PY'\nimport sqlite3, json\nconn=sqlite3.connect('/mnt/rpi/agents-database/data/shared-agent-memory.sqlite3')\nconn.row_factory=sqlite3.Row\nprint('RECENT_SOURCES')\nfor row in conn.execute(\"select id, source_kind, title, source_ref, created_at, metadata_json from sources order by datetime(created_at) desc limit 15\"):\n    print(json.dumps(dict(row), ensure_ascii=False))\nprint('\\nRECENT_INGESTION_EVENTS')\nfor row in conn.execute(\"select id, trigger_type, source_id, requested_scope, job_state, processor_outcome, error_message, created_at, updated_at, processed_at from ingestion_events order by datetime(created_at) desc limit 15\"):\n    print(json.dumps(dict(row), ensure_ascii=False))\nprint('\\nRECENT_EPISODE_MEMORIES')\nfor row in conn.execute(\"select id, status, source_kind, title, source_ref, created_at, updated_at, metadata_json from memories where type='episode' order by datetime(created_at) desc limit 15\"):\n    print(json.dumps(dict(row), ensure_ascii=False))\nPY","timeout":15}},{"type":"toolCall","id":"call_T6WvvfRSkyNKjLlfOMQnWFtK|fc_0d852cbc8d6115830169f9ff6f78bc8194a561c1ba69983b1a","name":"bash","arguments":{"command":"curl -sf http://100.116.176.16:8091/api/status","timeout":15}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":564,"output":346,"cacheRead":41984,"cacheWrite":0,"totalTokens":42894,"cost":{"input":0.00141,"output":0.00519,"cacheRead":0.010496,"cacheWrite":0,"total":0.017096}},"stopReason":"toolUse","timestamp":1777991527733,"responseId":"resp_0d852cbc8d6115830169f9ff682cc48194b6465df4c1d5502c"}}
{"type":"message","id":"df683ee9","parentId":"d393355e","timestamp":"2026-05-05T14:32:15.780Z","message":{"role":"toolResult","toolCallId":"call_vlN73SlKu2hj2mCmP1wXrCvR|fc_0d852cbc8d6115830169f9ff6f78ac8194a69c83dfa53a9032","toolName":"bash","content":[{"type":"text","text":"RECENT_SOURCES\n\nRECENT_INGESTION_EVENTS\n\nRECENT_EPISODE_MEMORIES\n{\"id\": \"mem_4b3428254ffb442ca1762d1a5895100d\", \"status\": \"active\", \"source_kind\": \"manual\", \"title\": \"Installed Vibes on ballbox-first\", \"source_ref\": \"conversation:2026-05-01:vibes-install\", \"created_at\": \"2026-05-01T04:56:36.842289+00:00\", \"updated_at\": \"2026-05-01T04:56:36.842289+00:00\", \"metadata_json\": \"{}\"}\n{\"id\": \"mem_6485e21fbc354ebf98cea3fa5a1cc6e6\", \"status\": \"active\", \"source_kind\": \"manual\", \"title\": \"agents-database maintenance wrapper fix\", \"source_ref\": \"conversation:2026-04-30:maintenance-wrapper-fix\", \"created_at\": \"2026-04-30T23:53:17.928610+00:00\", \"updated_at\": \"2026-04-30T23:53:17.928610+00:00\", \"metadata_json\": \"{}\"}\n{\"id\": \"mem_807edebd292b4f86a344f5674f7685c8\", \"status\": \"active\", \"source_kind\": \"manual\", \"title\": \"Task completed: Fresh CLI smoke task: summarize current system readiness and suggest one safe internal coordinati...\", \"source_ref\": \"personal-agent\", \"created_at\": \"2026-03-15T14:22:58.677648+00:00\", \"updated_at\": \"2026-03-15T14:22:58.677648+00:00\", \"metadata_json\": \"{\\\"task_id\\\": \\\"task_3d7271f7d19e456791b5796695fbe2fa\\\", \\\"task_run_id\\\": \\\"run_d37c8577c9674333b7157a945274385a\\\"}\"}\n{\"id\": \"mem_17eea5c0658f4cd3beece90a93d35e36\", \"status\": \"active\", \"source_kind\": \"manual\", \"title\": \"Subagent intake task_2e1c07a93b9d40598bb4bfa504a5d726\", \"source_ref\": \"ai-dev-workflow\", \"created_at\": \"2026-03-15T14:18:48.581429+00:00\", \"updated_at\": \"2026-03-15T14:18:48.581429+00:00\", \"metadata_json\": \"{\\\"idempotency_key\\\": 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\\\"v1 defaults\\\", \\\"goal\\\": \\\"Investigate personal assistant patterns\\\", \\\"run_status\\\": \\\"completed\\\", \\\"schema\\\": \\\"shared-agent-memory-v2\\\", \\\"scope\\\": \\\"recent setup patterns\\\", \\\"subtype\\\": \\\"research_run\\\", \\\"summary\\\": \\\"Seeded baseline run for personal-agent verification.\\\"}\"}\n{\"id\": \"legacy_run_a8512264-8cd5-4c3c-b62f-7528625227f1\", \"status\": \"active\", \"source_kind\": \"run\", \"title\": \"Research run: Verify capture-url flow\", \"source_ref\": \"personal-agent:run:a8512264-8cd5-4c3c-b62f-7528625227f1\", \"created_at\": \"2026-03-13T14:01:39.632489+00:00\", \"updated_at\": \"2026-04-30T17:32:27.368368+00:00\", \"metadata_json\": \"{\\\"assumptions\\\": \\\"e2e verification\\\", \\\"goal\\\": \\\"Verify capture-url flow\\\", \\\"run_status\\\": \\\"active\\\", \\\"schema\\\": \\\"shared-agent-memory-v2\\\", \\\"scope\\\": \\\"local file capture\\\", \\\"subtype\\\": \\\"research_run\\\", \\\"summary\\\": \\\"Verify capture-url flow\\\"}\"}\n{\"id\": \"legacy_run_55b6eaa0-9ff5-438c-a375-50f0452079cb\", \"status\": \"active\", \"source_kind\": \"run\", \"title\": \"Research run: Drive Ballbox payment integration toward Volvox-style demo on vending machine Android flow\", \"source_ref\": \"personal-agent:run:55b6eaa0-9ff5-438c-a375-50f0452079cb\", \"created_at\": \"2026-03-13T14:01:39.633673+00:00\", \"updated_at\": \"2026-04-30T17:32:27.368445+00:00\", \"metadata_json\": \"{\\\"assumptions\\\": \\\"Current repo is ballbox-payment-integration unless another Volvox-specific repo appears later\\\", \\\"goal\\\": \\\"Drive Ballbox payment integration toward Volvox-style demo on vending machine Android flow\\\", \\\"run_status\\\": \\\"active\\\", \\\"schema\\\": \\\"shared-agent-memory-v2\\\", \\\"scope\\\": \\\"Confirm repo alignment, identify gaps, iterate to demoable QR payment flow\\\", \\\"subtype\\\": \\\"research_run\\\", \\\"summary\\\": \\\"Drive Ballbox payment integration toward Volvox-style demo on vending machine Android flow\\\"}\"}\n{\"id\": \"legacy_run_bfe3ad5d-ed7c-4727-bd72-7b9f5b7b0cc7\", \"status\": \"active\", \"source_kind\": \"run\", \"title\": \"Research run: Source 50+ inch China displays for Ballbox advertising in padel venues\", \"source_ref\": \"personal-agent:run:bfe3ad5d-ed7c-4727-bd72-7b9f5b7b0cc7\", \"created_at\": \"2026-03-13T14:01:39.634873+00:00\", \"updated_at\": \"2026-04-30T17:32:27.368506+00:00\", \"metadata_json\": \"{\\\"assumptions\\\": \\\"Need shortlist first, not final purchase decision\\\", \\\"goal\\\": \\\"Source 50+ inch China displays for Ballbox advertising in padel venues\\\", \\\"run_status\\\": \\\"active\\\", \\\"schema\\\": \\\"shared-agent-memory-v2\\\", \\\"scope\\\": \\\"Made-in-China, Alibaba, similar suppliers; indoor or outdoor; browser/fullscreen capable preferred\\\", \\\"subtype\\\": \\\"research_run\\\", \\\"summary\\\": \\\"Source 50+ inch China displays for Ballbox advertising in padel venues\\\"}\"}\n{\"id\": \"legacy_run_8248124f-5145-475f-a3c7-a37b619abfa0\", \"status\": \"active\", \"source_kind\": \"run\", \"title\": \"Research run: Test intake flow\", \"source_ref\": \"personal-agent:run:8248124f-5145-475f-a3c7-a37b619abfa0\", \"created_at\": \"2026-03-13T14:01:39.636174+00:00\", \"updated_at\": \"2026-04-30T17:32:27.368568+00:00\", \"metadata_json\": \"{\\\"assumptions\\\": \\\"none\\\", \\\"goal\\\": \\\"Test intake flow\\\", \\\"run_status\\\": \\\"active\\\", \\\"schema\\\": \\\"shared-agent-memory-v2\\\", \\\"scope\\\": \\\"demo\\\", \\\"subtype\\\": \\\"research_run\\\", \\\"summary\\\": \\\"Test intake flow\\\"}\"}\n{\"id\": \"legacy_run_b07bc538-5cab-4243-a1d3-c7a7fa55a0a7\", \"status\": \"active\", \"source_kind\": \"run\", \"title\": \"Research run: Drive ballbox-payment-integration to a demoable vending-machine QR payment flow\", \"source_ref\": \"personal-agent:run:b07bc538-5cab-4243-a1d3-c7a7fa55a0a7\", \"created_at\": \"2026-03-13T14:01:39.637766+00:00\", \"updated_at\": \"2026-04-30T17:32:27.368626+00:00\", \"metadata_json\": \"{\\\"assumptions\\\": \\\"volvox reference maps to this repo; final flow is machine launcher -> QR page -> payment approval -> callback -> success/demo output\\\", \\\"goal\\\": \\\"Drive ballbox-payment-integration to a demoable vending-machine QR payment flow\\\", \\\"run_status\\\": \\\"active\\\", \\\"schema\\\": \\\"shared-agent-memory-v2\\\", \\\"scope\\\": \\\"Current target repo is ballbox-payment-integration; confirm fit to machine Android launcher flow and iterate toward demo\\\", \\\"subtype\\\": \\\"research_run\\\", \\\"summary\\\": \\\"Drive ballbox-payment-integration to a demoable vending-machine QR payment flow\\\"}\"}\n{\"id\": \"legacy_run_2c54c32b-3cf1-426b-98a6-9c43971573ff\", \"status\": \"active\", \"source_kind\": \"run\", \"title\": \"Research run: Find China-sourced 50+ inch displays for Ballbox advertising in covered padel clubs\", \"source_ref\": \"personal-agent:run:2c54c32b-3cf1-426b-98a6-9c43971573ff\", \"created_at\": \"2026-03-13T14:01:39.638922+00:00\", \"updated_at\": \"2026-04-30T17:32:27.368687+00:00\", \"metadata_json\": \"{\\\"assumptions\\\": \\\"Fullscreen browser preferred; exact hardware/software stack can be validated later; no final purchase decision yet\\\", \\\"goal\\\": \\\"Find China-sourced 50+ inch displays for Ballbox advertising in covered padel clubs\\\", \\\"run_status\\\": \\\"active\\\", \\\"schema\\\": \\\"shared-agent-memory-v2\\\", \\\"scope\\\": \\\"Prioritize covered clubs first; shortlist suppliers/screens from Alibaba, Made-in-China, or similar\\\", \\\"subtype\\\": \\\"research_run\\\", \\\"summary\\\": \\\"Find China-sourced 50+ inch displays for Ballbox advertising in covered padel clubs\\\"}\"}\n{\"id\": \"legacy_run_fbe3fc0d-b05c-455e-9afe-1b17b4640d97\", \"status\": \"active\", \"source_kind\": \"run\", \"title\": \"Research run: Responder a Codex sin salir de una película en fullscreen, con UI mínima y poco intrusiva, y evaluar cómo implementarlo\", \"source_ref\": \"personal-agent:run:fbe3fc0d-b05c-455e-9afe-1b17b4640d97\", \"created_at\": \"2026-03-13T14:01:39.640125+00:00\", \"updated_at\": \"2026-04-30T17:32:27.368751+00:00\", \"metadata_json\": \"{\\\"assumptions\\\": \\\"La prioridad es uso personal en la Mac de Sebas; se acepta prototipo primero; no se decidi\\\\u00f3 todav\\\\u00eda si ser\\\\u00e1 app nativa, helper global, overlay del sistema o integraci\\\\u00f3n con una app existente\\\", \\\"goal\\\": \\\"Responder a Codex sin salir de una pel\\\\u00edcula en fullscreen, con UI m\\\\u00ednima y poco intrusiva, y evaluar c\\\\u00f3mo implementarlo\\\", \\\"run_status\\\": \\\"completed\\\", \\\"schema\\\": \\\"shared-agent-memory-v2\\\", \\\"scope\\\": \\\"Mac local; tarea doble: investigar enfoques posibles y luego construir/probar un overlay o input transparente que aparezca solo al responder mientras una pel\\\\u00edcula est\\\\u00e1 en pantalla completa\\\", \\\"subtype\\\": \\\"research_run\\\", \\\"summary\\\": \\\"Conclusi\\\\u00f3n: no conviene app nativa primero. Orden simple: 1) BetterTouchTool para overlay/input sin reinventar, 2) Raycast si basta una UI ya hecha, 3) Hammerspoon si hace falta overlay transparente y m\\\\u00e1s control. Gaps: falta probar cu\\\\u00e1l de las tres convive mejor con tu reproductor fullscreen concreto y con el env\\\\u00edo real a Codex.\\\"}\"}\n"}],"isError":false,"timestamp":1777991535779}}
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\"artifact_type\": \"execution_state\", \"title\": \"Execution state snapshot\", \"content\": \"{\\n  \\\"action_results\\\": [\\n    {\\n      \\\"task_id\\\": \\\"task_561a1444260c4c23b716ab65ad2ebe3d\\\",\\n      \\\"type\\\": \\\"create_followup_task\\\"\\n    }\\n  ],\\n  \\\"outcome\\\": \\\"complete\\\",\\n  \\\"run_id\\\": \\\"run_d37c8577c9674333b7157a945274385a\\\",\\n  \\\"summary\\\": \\\"Local readiness is partial: repo docs and runtime surface exist, current status API works, but full verification is not yet proven in this sandbox.\\\"\\n}\", \"format\": \"json\", \"status\": \"active\", \"source_ref\": \"personal-agent\", \"created_at\": \"2026-03-15T14:22:58.674979+00:00\", \"updated_at\": \"2026-03-15T14:22:58.674979+00:00\", \"metadata\": {\"outcome\": \"complete\", \"task_run_id\": \"run_d37c8577c9674333b7157a945274385a\"}}, {\"id\": \"art_f2e3c950a9b8427e89e083457683077e\", \"task_id\": \"task_3d7271f7d19e456791b5796695fbe2fa\", \"artifact_type\": \"report\", \"title\": \"CLI Smoke Readiness Summary\", \"content\": \"## Findings\\n- Confirmed locally on 2026-03-15: `python3 scripts/personal.py --json status` works and returns live task/run state. Current snapshot shows `active_task_count=19`, `blocked_task_count=2`, `pending_approval_count=0`.\\n- Confirmed locally on 2026-03-15: `codex exec --help` matches the newer CLI shape and supports `-C/--cd`, `--add-dir`, `--output-last-message`; it does not advertise the older `--ask-for-approval` flow.\\n- Confirmed from repo state: local edits in `personal_agent/planner.py`, `personal_agent/runtime.py`, and `tests/test_personal.py` replace the obsolete `--ask-for-approval` and `--search` flags with `-C`, and add test coverage for that command shape.\\n- Confirmed from runtime evidence: recent stored runs failed with exact error `unexpected argument '--ask-for-approval' found`, so the earlier smoke failures were real and explainable.\\n- Confirmed from docs/scripts: the only declared repo gate is `./scripts/run-checks.sh`, which runs `python3 -m unittest discover -s tests`.\\n- Not confirmed: full repo test pass. In this read-only sandbox, the test suite fails before exercising app behavior because Python cannot create temp dirs: `FileNotFoundError: No usable temporary directory found`.\\n- Not confirmed: shared-memory operational readiness under this sandbox. Targeted memory search failed with `sqlite3.OperationalError: attempt to write a readonly database`, so shared DB interaction is not proven here.\\n- Not confirmed: production readiness. Docs still describe dashboard, daemon, worker, approvals, and multi-repo handoff topology, but this run did not validate dashboard serving, worker completion, or end-to-end shared-memory writes.\\n\\n## Risks\\n- Main near-term risk is false confidence from static docs plus partial command success while writable-path and temp-dir assumptions remain unverified.\\n- Working tree is dirty, so the codex CLI fix appears in progress but not yet fully validated by a successful full gate.\\n\\n## Recommended Next Action\\n- Queue one internal follow-up task: rerun the full local smoke gate in a writable environment after the current codex CLI flag fix lands, with focus on two proofs only: tests pass and shared-memory-backed worker flow completes without the old CLI error.\", \"format\": \"md\", \"status\": \"active\", \"source_ref\": \"personal-agent\", \"created_at\": \"2026-03-15T14:22:58.671693+00:00\", \"updated_at\": \"2026-03-15T14:22:58.671693+00:00\", \"metadata\": {\"outcome\": \"complete\", \"task_run_id\": \"run_d37c8577c9674333b7157a945274385a\"}}, {\"id\": \"art_504acf83d6fe481f82082c3fa518b6cb\", \"task_id\": \"task_3d7271f7d19e456791b5796695fbe2fa\", \"artifact_type\": \"plan\", \"title\": \"Execution Plan\", \"content\": \"# Plan for Fresh CLI smoke task: summarize current system readiness and suggest one safe internal coordinati...\\n\\n- Route: personal\\n- Secondary route: code\\n- Planning source: codex\\n- Codex instruction: Use Python as the shell entrypoint; inspect current local readiness signals, summarize gaps conservatively, and record one internal-only coordination next step in shared DB/audit state.\\n\\n## Subtasks\\n- Collect readiness signals\\n- Write smoke summary\\n- Propose one coordination step\", \"format\": \"md\", \"status\": \"active\", \"source_ref\": \"personal-agent\", \"created_at\": \"2026-03-15T14:21:32.622366+00:00\", \"updated_at\": \"2026-03-15T14:21:32.622366+00:00\", \"metadata\": {\"route\": {\"codex_instruction\": \"Use Python as the shell entrypoint; inspect current local readiness signals, summarize gaps conservatively, and record one internal-only coordination next step in shared DB/audit state.\", \"delegation_target\": null, \"planning_source\": \"codex\", \"primary_agent\": \"personal\", \"reason\": \"Planning/synthesis task with light repo-readiness context; no external action.\", \"secondary_agent\": \"code\"}}}, {\"id\": \"art_52e95ab045ea45df8cd59f44707194ef\", \"task_id\": \"task_3d7271f7d19e456791b5796695fbe2fa\", \"artifact_type\": \"normalized_intent\", \"title\": \"Normalized Intent\", \"content\": \"Request: Fresh CLI smoke task: summarize current system readiness and suggest one safe internal coordination step only. No external actions.\\nPrimary route: personal\\nSecondary route: code\\nReason: Planning/synthesis task with light repo-readiness context; no external action.\\nPlanning source: codex\\nCodex instruction: Use Python as the shell entrypoint; inspect current local readiness signals, summarize gaps conservatively, and record one internal-only coordination next step in shared DB/audit state.\\nRelevant memory:\\n- Sebas idea: custom AI solutions as alternative income [mem_sebas_custom_ai_solutions_income_idea]\\n- Research run: Produce a production-readiness plan for ballbox-payment-integration [legacy_run_1f1a3fd4-eb28-4e99-891f-07c97243a06f]\\n- Sebas desired relationship with money [mem_sebas_money_relationship]\", \"format\": \"md\", \"status\": \"active\", \"source_ref\": \"personal-agent\", \"created_at\": \"2026-03-15T14:21:32.621453+00:00\", \"updated_at\": \"2026-03-15T14:21:32.621453+00:00\", \"metadata\": {\"route\": {\"codex_instruction\": \"Use Python as the shell entrypoint; inspect current local readiness signals, summarize gaps conservatively, and record one internal-only coordination next step in shared DB/audit state.\", \"delegation_target\": null, \"planning_source\": \"codex\", \"primary_agent\": \"personal\", \"reason\": \"Planning/synthesis task with light repo-readiness context; no external action.\", \"secondary_agent\": \"code\"}}}, {\"id\": \"art_64eb875c9be041c2bf56ef7825e7b49d\", \"task_id\": \"task_46bb6d81471e47e39340198a889252a1\", \"artifact_type\": \"plan\", \"title\": \"Execution Plan\", \"content\": \"# Plan for Smoke task: summarize current system readiness and suggest one safe internal coordination step on...\\n\\n- Route: personal\\n- Planning source: fallback\\n\\n## Subtasks\\n- Clarify objective and constraints\\n- Gather context and evidence\\n- Produce final recommendation\", \"format\": \"md\", \"status\": \"active\", \"source_ref\": \"personal-agent\", \"created_at\": \"2026-03-15T14:19:21.818641+00:00\", \"updated_at\": \"2026-03-15T14:19:21.818641+00:00\", \"metadata\": {\"route\": {\"codex_instruction\": \"\", \"delegation_target\": null, \"planning_source\": \"fallback\", \"primary_agent\": \"personal\", \"reason\": \"default personal route\", \"secondary_agent\": null}}}, {\"id\": \"art_0f68333747c744728f5291e4e64d563a\", \"task_id\": \"task_46bb6d81471e47e39340198a889252a1\", \"artifact_type\": \"normalized_intent\", \"title\": \"Normalized Intent\", \"content\": \"Request: Smoke task: summarize current system readiness and suggest one safe internal coordination step only. No external actions.\\nPrimary route: personal\\nSecondary route: none\\nReason: default personal route\\nPlanning source: fallback\\nRelevant memory:\\n- Sebas idea: custom AI solutions as alternative income [mem_sebas_custom_ai_solutions_income_idea]\\n- Research run: Produce a production-readiness plan for ballbox-payment-integration [legacy_run_1f1a3fd4-eb28-4e99-891f-07c97243a06f]\\n- Sebas desired relationship with money [mem_sebas_money_relationship]\", \"format\": \"md\", \"status\": \"active\", \"source_ref\": \"personal-agent\", \"created_at\": \"2026-03-15T14:19:21.818049+00:00\", \"updated_at\": \"2026-03-15T14:19:21.818049+00:00\", \"metadata\": {\"route\": {\"codex_instruction\": \"\", \"delegation_target\": null, \"planning_source\": \"fallback\", \"primary_agent\": \"personal\", \"reason\": \"default personal route\", \"secondary_agent\": null}}}, {\"id\": \"art_a60c0d4bffb14d67be795c5f45124318\", \"task_id\": \"task_2e1c07a93b9d40598bb4bfa504a5d726\", \"artifact_type\": \"handoff_result\", \"title\": \"Handoff result from ai-dev-workflow\", \"content\": \"{\\n  \\\"artifacts\\\": [],\\n  \\\"memory_id\\\": \\\"mem_17eea5c0658f4cd3beece90a93d35e36\\\",\\n  \\\"status\\\": \\\"accepted\\\",\\n  \\\"summary\\\": \\\"ai-dev-workflow accepted the handoff and persisted intake context.\\\",\\n  \\\"task_id\\\": \\\"task_2e1c07a93b9d40598bb4bfa504a5d726\\\"\\n}\", \"format\": \"json\", \"status\": \"active\", \"source_ref\": \"ai-dev-workflow\", \"created_at\": \"2026-03-15T14:18:48.589136+00:00\", \"updated_at\": \"2026-03-15T14:18:48.589136+00:00\", \"metadata\": {\"handoff_id\": \"hof_bdc2e7b08a7c4cdb803c986fc6ec84fc\"}}, {\"id\": \"art_ecadce16c6ce44e9b8b534630a2aea26\", \"task_id\": \"task_2e1c07a93b9d40598bb4bfa504a5d726\", \"artifact_type\": \"plan\", \"title\": \"Execution Plan\", \"content\": \"# Plan for Smoke task: assess current V1 readiness and propose one safe internal next step, no repo work and...\\n\\n- Route: code\\n- Planning source: fallback\\n- Delegation target: ai-dev-workflow\\n\\n## Subtasks\\n- Inspect technical context\\n- Delegate code execution\\n- Summarize technical outcome\", \"format\": \"md\", \"status\": \"active\", \"source_ref\": \"personal-agent\", \"created_at\": \"2026-03-15T14:18:47.342014+00:00\", \"updated_at\": \"2026-03-15T14:18:47.342014+00:00\", \"metadata\": {\"route\": {\"codex_instruction\": \"\", \"delegation_target\": \"ai-dev-workflow\", \"planning_source\": \"fallback\", \"primary_agent\": \"code\", \"reason\": \"code work (repo)\", \"secondary_agent\": null}}}, {\"id\": \"art_73f79012e7f0471085d2749541f5748b\", \"task_id\": \"task_2e1c07a93b9d40598bb4bfa504a5d726\", \"artifact_type\": \"normalized_intent\", \"title\": \"Normalized Intent\", \"content\": \"Request: Smoke task: assess current V1 readiness and propose one safe internal next step, no repo work and no external actions.\\nPrimary route: code\\nSecondary route: none\\nReason: code work (repo)\\nPlanning source: fallback\\nRelevant memory:\\n- Research run: Produce a production-readiness plan for ballbox-payment-integration [legacy_run_1f1a3fd4-eb28-4e99-891f-07c97243a06f]\\n- Research run: Analyze the best next steps to make ballbox-payment-integration production-ready [legacy_run_a7fe5fbd-4892-4398-ab1a-71337f923ed7]\\n- Research run: Production-readiness plan for ballbox-payment-integration [legacy_run_35bd54a1-0135-414e-9c6b-245fca772f54]\", \"format\": \"md\", \"status\": \"active\", \"source_ref\": \"personal-agent\", \"created_at\": \"2026-03-15T14:18:47.341454+00:00\", \"updated_at\": \"2026-03-15T14:18:47.341454+00:00\", \"metadata\": {\"route\": {\"codex_instruction\": \"\", \"delegation_target\": \"ai-dev-workflow\", \"planning_source\": \"fallback\", \"primary_agent\": \"code\", \"reason\": \"code work (repo)\", \"secondary_agent\": null}}}, {\"id\": \"art_1accabbcec71437d8592292c9e412153\", \"task_id\": \"task_ed6a38c1b49f4e829e067d49d206148b\", \"artifact_type\": \"handoff_result\", \"title\": \"Handoff result from ai-dev-workflow\", \"content\": \"{\\n  \\\"artifacts\\\": [],\\n  \\\"memory_id\\\": \\\"mem_04dc02a90cad40cc826ed1e8f93aff36\\\",\\n  \\\"status\\\": \\\"accepted\\\",\\n  \\\"summary\\\": \\\"ai-dev-workflow accepted the handoff and persisted intake context.\\\",\\n  \\\"task_id\\\": \\\"task_ed6a38c1b49f4e829e067d49d206148b\\\"\\n}\", \"format\": \"json\", \"status\": \"active\", \"source_ref\": \"ai-dev-workflow\", \"created_at\": \"2026-03-15T14:18:33.507460+00:00\", \"updated_at\": \"2026-03-15T14:18:33.507460+00:00\", \"metadata\": {\"handoff_id\": \"hof_d7a1028b907341fa93a5cb8cb460e2c7\"}}, {\"id\": \"art_39c706c5d09f421a9198fc938020c79f\", \"task_id\": \"task_ed6a38c1b49f4e829e067d49d206148b\", \"artifact_type\": \"plan\", \"title\": \"Execution Plan\", \"content\": \"# Plan for Smoke test after codex CLI fix: summarize current runtime health and suggest one safe internal ne...\\n\\n- Route: code\\n- Planning source: fallback\\n- Delegation target: ai-dev-workflow\\n\\n## Subtasks\\n- Inspect technical context\\n- Delegate code execution\\n- Summarize technical outcome\", \"format\": \"md\", \"status\": \"active\", \"source_ref\": \"personal-agent\", \"created_at\": \"2026-03-15T14:18:28.454377+00:00\", \"updated_at\": \"2026-03-15T14:18:28.454377+00:00\", \"metadata\": {\"route\": {\"codex_instruction\": \"\", \"delegation_target\": \"ai-dev-workflow\", \"planning_source\": \"fallback\", \"primary_agent\": \"code\", \"reason\": \"code work (fix)\", \"secondary_agent\": null}}}, {\"id\": \"art_8225d4c69b224564ba55a14f20519717\", \"task_id\": \"task_ed6a38c1b49f4e829e067d49d206148b\", \"artifact_type\": \"normalized_intent\", \"title\": \"Normalized Intent\", \"content\": \"Request: Smoke test after codex CLI fix: summarize current runtime health and suggest one safe internal next step only.\\nPrimary route: code\\nSecondary route: none\\nReason: code work (fix)\\nPlanning source: fallback\\nRelevant memory:\\n- Refactor runtime toward Codex-agentic orchestration [mem_runtime_agentic_refactor_priority]\\n- Research run: Analyze the best next steps to make ballbox-payment-integration production-ready [legacy_run_a7fe5fbd-4892-4398-ab1a-71337f923ed7]\\n- Sebas idea: custom AI solutions as alternative income [mem_sebas_custom_ai_solutions_income_idea]\", \"format\": \"md\", \"status\": \"active\", \"source_ref\": \"personal-agent\", \"created_at\": \"2026-03-15T14:18:28.453697+00:00\", \"updated_at\": \"2026-03-15T14:18:28.453697+00:00\", \"metadata\": {\"route\": {\"codex_instruction\": \"\", \"delegation_target\": \"ai-dev-workflow\", \"planning_source\": \"fallback\", \"primary_agent\": \"code\", \"reason\": \"code work (fix)\", \"secondary_agent\": null}}}, {\"id\": \"art_4b872101defe41188e12e81c2c5e0ffc\", \"task_id\": \"task_4a80a42f5d424f7191b151c3640db934\", \"artifact_type\": \"plan\", \"title\": \"Execution Plan\", \"content\": \"# Plan for Smoke test: summarize current V1 readiness and recommend the next safe internal step without exte...\\n\\n- Route: personal\\n- Planning source: fallback\\n\\n## Subtasks\\n- Clarify objective and constraints\\n- Gather context and evidence\\n- Produce final recommendation\", \"format\": \"md\", \"status\": \"active\", \"source_ref\": \"personal-agent\", \"created_at\": \"2026-03-15T14:16:55.509883+00:00\", \"updated_at\": \"2026-03-15T14:16:55.509883+00:00\", \"metadata\": {\"route\": {\"codex_instruction\": \"\", \"delegation_target\": null, \"planning_source\": \"fallback\", \"primary_agent\": \"personal\", \"reason\": \"default personal route\", \"secondary_agent\": null}}}, {\"id\": \"art_0f65fad23c6e4f698fa606feead854e1\", \"task_id\": \"task_4a80a42f5d424f7191b151c3640db934\", \"artifact_type\": \"normalized_intent\", \"title\": \"Normalized Intent\", \"content\": \"Request: Smoke test: summarize current V1 readiness and recommend the next safe internal step without external side effects.\\nPrimary route: personal\\nSecondary route: none\\nReason: default personal route\\nPlanning source: fallback\\nRelevant memory:\\n- Research run: Produce a production-readiness plan for ballbox-payment-integration [legacy_run_1f1a3fd4-eb28-4e99-891f-07c97243a06f]\\n- Refactor runtime toward Codex-agentic orchestration [mem_runtime_agentic_refactor_priority]\\n- Research run: Analyze the best next steps to make ballbox-payment-integration production-ready [legacy_run_a7fe5fbd-4892-4398-ab1a-71337f923ed7]\", \"format\": \"md\", \"status\": \"active\", \"source_ref\": \"personal-agent\", \"created_at\": \"2026-03-15T14:16:55.509067+00:00\", \"updated_at\": \"2026-03-15T14:16:55.509067+00:00\", \"metadata\": {\"route\": {\"codex_instruction\": \"\", \"delegation_target\": null, \"planning_source\": \"fallback\", \"primary_agent\": \"personal\", \"reason\": \"default personal route\", \"secondary_agent\": null}}}, {\"id\": \"art_f7fad73c89674ef1b9f9248c7b829ca1\", \"task_id\": \"task_afed9eaf504f42b99348a815d56148cc\", \"artifact_type\": \"closeout\", \"title\": \"V1 final closeout\", \"content\": \"# V1 Closeout\\n\\n## Outcome\\nV1 is complete.\\n\\n`personal-agent` now operates as the shared-memory front door with:\\n- shared operational state in `agents-database`\\n- intake planning and runtime orchestration backed by Codex outputs\\n- daemon/dashboard surfaces for status, blockers, approvals, and next actions\\n- approval resolution with automatic resume\\n- stable subagent handoff contract for `ai-dev-workflow` and `ballbox-company-agent`\\n- legacy bridge for old personal-agent research/task inspection\\n- documented sandbox write convention for canonical shared DB access\\n\\n## Verification\\n- local repo gate: `./scripts/run-checks.sh` passed with 26 tests\\n- direct suite: `python3 -m pytest tests/test_personal.py` passed with 26 tests\\n- PR CI: run `23112079488` passed on 2026-03-15 (`unit-tests`)\\n\\n## Runtime use cases covered by tests\\n- intake creates operational task, subtasks, and specialist handoff\\n- Codex planning path and fallback path\\n- worker terminal outcomes: `complete`, `needs_approval`, `blocked`\\n- approval resolution paths: `approved` resumes and completes; `rejected` stays blocked\\n- structured runtime actions: follow-up task, handoff, artifact\\n- dashboard snapshot enrichment: summary, next action, latest run, pending approval, route summary\\n- end-to-end flow: intake -> approval -> resume -> complete\\n- Codex command wiring includes `--add-dir /Users/sebas/agents-database`\\n- handoff dispatch completion persists result artifact\\n- preference blocker can resolve from memory without human input\\n- daemon API surface covers status, intake, blocker response, and approval resolution\\n- CLI accepts `--json` before or after subcommands\\n\\n## Scope boundary\\n- task `task_33d854e72d094660a2fb293a8723f5c5` is explicitly post-V1 follow-up, not a V1 blocker\\n- remaining work after V1 should continue as follow-up capabilities and operator hardening, not as part of this milestone\\n\", \"format\": \"md\", \"status\": \"active\", \"source_ref\": \"personal-agent\", \"created_at\": \"2026-03-15T14:13:45.050563+00:00\", \"updated_at\": \"2026-03-15T14:13:45.050563+00:00\", \"metadata\": {\"completed_on\": \"2026-03-15\", \"kind\": \"v1_closeout\", \"post_v1_followup_task_id\": \"task_33d854e72d094660a2fb293a8723f5c5\", \"verification\": {\"pr_ci_run_id\": \"23112079488\", \"pr_ci_status\": \"success\", \"pytest\": \"26 passed\", \"run_checks\": \"passed\"}}}, {\"id\": \"art_4151fdb5c75c48449199130022f7a909\", \"task_id\": \"task_eaf005df03fb441ab2b84df7ea05178d\", \"artifact_type\": \"continuation_brief\", \"title\": \"Phase 2 closeout brief\", \"content\": \"Phase 2 closeout:\\n- structured runtime actions implemented\\n- approval loop resolves and resumes\\n- execution_state snapshots persisted\\n- dashboard/status surfaces expose next actions and latest run state\\n- end-to-end runtime tests cover intake -> approval -> resume -> complete\\n\", \"format\": \"md\", \"status\": \"active\", \"source_ref\": \"personal-agent\", \"created_at\": \"2026-03-14T22:18:49.489775+00:00\", \"updated_at\": \"2026-03-14T22:18:49.489775+00:00\", \"metadata\": {\"kind\": \"phase2_closeout\"}}, {\"id\": \"art_b4b8c8b4bcc344ae81c206fa3ca57724\", \"task_id\": \"task_33d854e72d094660a2fb293a8723f5c5\", \"artifact_type\": \"task_note\", \"title\": \"Credential automation follow-up note\", \"content\": \"Low-priority follow-up. During multi-repo PR prep, git push and gh PR creation hit mixed-account behavior. Temporary workaround used direct credential injection. Future work should simplify and harden this flow instead of relying on manual recovery steps.\", \"format\": \"md\", \"status\": \"active\", \"source_ref\": \"personal-agent\", \"created_at\": \"2026-03-14T22:07:02.464680+00:00\", \"updated_at\": \"2026-03-14T22:07:02.464680+00:00\", \"metadata\": {\"kind\": \"followup_context\"}}]}, \"audit\": {\"schema_version\": \"shared-agent-memory-v2\", \"memories\": 223, \"tasks\": 39, \"approvals\": 0, \"handoffs\": 0, \"maintenance_jobs\": 3, \"legacy_memory_rows\": 0, \"legacy_task_rows\": 0}}"}],"isError":false,"timestamp":1777991535780}}
{"type":"message","id":"062c5085","parentId":"5dfad7e3","timestamp":"2026-05-05T14:32:20.551Z","message":{"role":"assistant","content":[{"type":"text","text":"Test result: looks not working.\n\nWhat I checked right after your close:\n- `sources`: empty\n- `ingestion_events`: empty\n- new `episode` memories: none\n- total memories unchanged: `223`\n\nWhat that means:\n- no `capture_session()` write happened\n- no pending ingest event got created\n- no `process_pending()` output happened\n- no maintenance promotion from a fresh captured session happened\n\nSo the formal auto capture/session-close pipeline did **not** trigger from that session close.\n\nStrong conclusion:\n- current memory activity is coming from direct agent `ingest` writes\n- not from the session-close capture pipeline\n\nIf you want, next step should be:\n1. find where session close is supposed to call `capture_session`\n2. see whether that hook is missing vs failing silently\n3. patch it and re-test end to end","textSignature":"{\"v\":1,\"id\":\"msg_0d852cbc8d6115830169f9ff7110d48194a8739e503af237e2\",\"phase\":\"final_answer\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":12538,"output":181,"cacheRead":41984,"cacheWrite":0,"totalTokens":54703,"cost":{"input":0.031345000000000005,"output":0.002715,"cacheRead":0.010496,"cacheWrite":0,"total":0.044556000000000005}},"stopReason":"stop","timestamp":1777991535781,"responseId":"resp_0d852cbc8d6115830169f9ff7047388194a4d40775c44bb373"}}
{"type":"message","id":"faee7190","parentId":"062c5085","timestamp":"2026-05-05T14:38:41.333Z","message":{"role":"user","content":[{"type":"text","text":"wait try again, maybe it needed time"}],"timestamp":1777991921326}}
{"type":"message","id":"17a3c597","parentId":"faee7190","timestamp":"2026-05-05T14:38:49.363Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_Gk7cuYIxluUKdwwRL7BTQn1t|fc_0d852cbc8d6115830169fa00f3359c8194a22e135ae5e54358","name":"bash","arguments":{"command":"python3 - <<'PY'\nimport sqlite3, json\nconn=sqlite3.connect('/mnt/rpi/agents-database/data/shared-agent-memory.sqlite3')\nconn.row_factory=sqlite3.Row\nprint('COUNTS')\nfor name in ['sources','ingestion_events','memories']:\n    try:\n        c=conn.execute(f'select count(*) from {name}').fetchone()[0]\n        print(name, c)\n    except Exception as e:\n        print(name, 'ERR', e)\nprint('\\nRECENT_SOURCES')\nfor row in conn.execute(\"select id, source_kind, title, source_ref, created_at, metadata_json from sources order by datetime(created_at) desc limit 10\"):\n    print(json.dumps(dict(row), ensure_ascii=False))\nprint('\\nRECENT_INGESTION_EVENTS')\nfor row in conn.execute(\"select id, trigger_type, source_id, requested_scope, job_state, processor_outcome, error_message, created_at, updated_at, processed_at from ingestion_events order by datetime(created_at) desc limit 10\"):\n    print(json.dumps(dict(row), ensure_ascii=False))\nprint('\\nRECENT_MEMORIES')\nfor row in conn.execute(\"select id, type, status, source_kind, title, source_ref, created_at, updated_at from memories order by datetime(created_at) desc limit 12\"):\n    print(json.dumps(dict(row), ensure_ascii=False))\nPY","timeout":15}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":12713,"output":339,"cacheRead":41984,"cacheWrite":0,"totalTokens":55036,"cost":{"input":0.031782500000000005,"output":0.005085,"cacheRead":0.010496,"cacheWrite":0,"total":0.0473635}},"stopReason":"toolUse","timestamp":1777991921327,"responseId":"resp_0d852cbc8d6115830169fa00f1cb7481948264c4bbe011afbe"}}
{"type":"message","id":"f170829a","parentId":"17a3c597","timestamp":"2026-05-05T14:38:49.420Z","message":{"role":"toolResult","toolCallId":"call_Gk7cuYIxluUKdwwRL7BTQn1t|fc_0d852cbc8d6115830169fa00f3359c8194a22e135ae5e54358","toolName":"bash","content":[{"type":"text","text":"COUNTS\nsources 0\ningestion_events 0\nmemories 223\n\nRECENT_SOURCES\n\nRECENT_INGESTION_EVENTS\n\nRECENT_MEMORIES\n{\"id\": \"mem_3c62253993584122a81f9a21de4acc33\", \"type\": \"artifact\", \"status\": \"active\", \"source_kind\": \"manual\", \"title\": \"ballbox-first microSD migration handoff\", \"source_ref\": \"file:/home/sebas/microsd-migration-handoff.md\", \"created_at\": \"2026-05-04T21:29:59.519213+00:00\", \"updated_at\": \"2026-05-04T21:29:59.519213+00:00\"}\n{\"id\": \"mem_90f4bcce6d284ed0b6f6edb9a6ec6cc2\", \"type\": \"decision\", \"status\": \"active\", \"source_kind\": \"manual\", \"title\": \"Prefer session-end memory writes\", \"source_ref\": \"conversation:2026-05-01\", \"created_at\": \"2026-05-01T19:46:36.793893+00:00\", \"updated_at\": \"2026-05-01T19:46:36.793893+00:00\"}\n{\"id\": \"mem_69278f6716654a3c8fc5db37f97d2a6c\", \"type\": \"profile\", \"status\": \"active\", \"source_kind\": \"manual\", \"title\": \"Follow-up instructions go to todo first\", \"source_ref\": \"conversation:2026-05-01\", \"created_at\": \"2026-05-01T19:45:29.105695+00:00\", \"updated_at\": \"2026-05-01T19:45:29.105695+00:00\"}\n{\"id\": \"mem_b9dfde5e35a84944b86841b537be2b4c\", \"type\": \"project\", \"status\": \"active\", \"source_kind\": \"manual\", \"title\": \"Vibes service needs provider env\", \"source_ref\": null, \"created_at\": \"2026-05-01T16:08:52.128088+00:00\", \"updated_at\": \"2026-05-01T16:08:52.128088+00:00\"}\n{\"id\": \"mem_4b3428254ffb442ca1762d1a5895100d\", \"type\": \"episode\", \"status\": \"active\", \"source_kind\": \"manual\", \"title\": \"Installed Vibes on ballbox-first\", \"source_ref\": \"conversation:2026-05-01:vibes-install\", \"created_at\": \"2026-05-01T04:56:36.842289+00:00\", \"updated_at\": \"2026-05-01T04:56:36.842289+00:00\"}\n{\"id\": \"mem_ebbca254ff484623b6d63073ee758d8d\", \"type\": \"decision\", \"status\": \"active\", \"source_kind\": \"manual\", \"title\": \"pi-tau-mux stale ctx fix in tau-client\", \"source_ref\": \"conversation:2026-05-01:/new-stale-ctx\", \"created_at\": \"2026-05-01T04:46:27.346689+00:00\", \"updated_at\": \"2026-05-01T04:46:27.346689+00:00\"}\n{\"id\": \"mem_6485e21fbc354ebf98cea3fa5a1cc6e6\", \"type\": \"episode\", \"status\": \"active\", \"source_kind\": \"manual\", \"title\": \"agents-database maintenance wrapper fix\", \"source_ref\": \"conversation:2026-04-30:maintenance-wrapper-fix\", \"created_at\": \"2026-04-30T23:53:17.928610+00:00\", \"updated_at\": \"2026-04-30T23:53:17.928610+00:00\"}\n{\"id\": \"mem_94ec049a0b6345ad9e54746c62a51908\", \"type\": \"decision\", \"status\": \"active\", \"source_kind\": \"manual\", \"title\": \"Native tmux pi batch jobs for one-prompt subagents\", \"source_ref\": \"conversation:2026-04-30\", \"created_at\": \"2026-04-30T23:34:35.028872+00:00\", \"updated_at\": \"2026-04-30T23:34:35.028872+00:00\"}\n{\"id\": \"mem_be158f743dcc43c2a38b3bb6ca348352\", \"type\": \"artifact\", \"status\": \"active\", \"source_kind\": \"manual\", \"title\": \"Vending setup day manual added\", \"source_ref\": \"docs/vending-machine-setup-day-manual.md\", \"created_at\": \"2026-04-30T19:20:49.492199+00:00\", \"updated_at\": \"2026-04-30T19:20:49.492199+00:00\"}\n{\"id\": \"mem_6d77b1a0123f491489990043b55e9962\", \"type\": \"project\", \"status\": \"active\", \"source_kind\": \"manual\", \"title\": \"pi CLI lives in ~/.npm-global but npm global prefix points to zed pi-acp\", \"source_ref\": \"conversation:2026-04-30:run-update-pi\", \"created_at\": \"2026-04-30T17:30:44.055250+00:00\", \"updated_at\": \"2026-04-30T17:30:44.055250+00:00\"}\n{\"id\": \"mem_cda20c374a614e6ca531f9e9e121c5bd\", \"type\": \"project\", \"status\": \"active\", \"source_kind\": \"manual\", \"title\": \"Laptop helpers use dedicated SSH key on port 2222\", \"source_ref\": \"conversation:2026-04-29\", \"created_at\": \"2026-04-29T20:44:21.678062+00:00\", \"updated_at\": \"2026-04-29T20:44:21.678062+00:00\"}\n{\"id\": \"mem_57f96c24431c4d38b5123f37e66bdae8\", \"type\": \"profile\", \"status\": \"active\", \"source_kind\": \"manual\", \"title\": \"Laptop access should avoid web auth\", \"source_ref\": \"conversation:2026-04-29\", \"created_at\": \"2026-04-29T20:37:30.323144+00:00\", \"updated_at\": \"2026-04-29T20:37:30.323144+00:00\"}\n"}],"isError":false,"timestamp":1777991929419}}
{"type":"message","id":"2d9dd3ca","parentId":"f170829a","timestamp":"2026-05-05T14:38:53.368Z","message":{"role":"assistant","content":[{"type":"text","text":"Retried. Same result.\n\nStill:\n- `sources = 0`\n- `ingestion_events = 0`\n- `memories = 223`\n- no new rows at all\n\nSo not “slow”.\nLooks like **not wired / not firing**, not just delayed.\n\nStronger conclusion now:\n- session-close auto capture pipeline is currently inactive\n- recent memory behavior is direct agent ingest only\n\nNext useful move:\n- inspect where session shutdown should call `capture_session()`\n- verify missing hook vs wrong DB / wrong service / swallowed error\n\nIf you want, I’ll trace that now.","textSignature":"{\"v\":1,\"id\":\"msg_0d852cbc8d6115830169fa00fad98481949dfd8969f330f51d\",\"phase\":\"final_answer\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":2298,"output":126,"cacheRead":54272,"cacheWrite":0,"totalTokens":56696,"cost":{"input":0.005745,"output":0.00189,"cacheRead":0.013568,"cacheWrite":0,"total":0.021203}},"stopReason":"stop","timestamp":1777991929421,"responseId":"resp_0d852cbc8d6115830169fa00f9e2e481948976f5cefd001b15"}}
{"type":"message","id":"b74c5282","parentId":"2d9dd3ca","timestamp":"2026-05-05T14:47:59.777Z","message":{"role":"user","content":[{"type":"text","text":"lets debug, that call is wwhere most findings would occur (seeing the whole conversation) so its really valuable"}],"timestamp":1777992479768}}
{"type":"message","id":"6b4bc324","parentId":"b74c5282","timestamp":"2026-05-05T14:48:03.427Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_0d852cbc8d6115830169fa032158d48194b5d6c0dfa50c3383\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-gMiGaKHltZg5im_5kR9hDtr2Tnuf6AEklNf8UTjgP3hEYdosOvLDXr_FmfAtwRg6P0PLZYXSsfNwrHlRSw2bMTqmPaSJqA-VPLWB6U45hljhvYNncJBjkDAjP7B9_pAhZKeB_zROqmmHEkZjhLIMsZnNYn7uuOzvM1IUUv-5ms_nmW_msu4Va9rEZrjQ51NwhUqqxSGHNpruD_kjmP1PLFL18Ab86BMtcAwwFw-HWx2Lxv0H-OVzCmh24bU1KeDueuVF4N9TM3FY-2dj8xsww49KTbGReEzmDy31rEIwCbKLJiuGJcrNJi-bwgim1rHkIxFspopdSa-37Yo4SVxYWw5Ptyv0QE1xXK_wEuPWx1shB-gDCcxeen76jB_bd4mnijaFiF-987X2zB3FrikD5McoUyLRRHJGvFWDQ1DTRcYQdUGyUVvppmlbvdMrpbczbl-S_QNdgv7qwYc_vpSHX1HaQcjZdtyn1bVG6KBl57EJvRx9mwJvUqkaVUBWVIPLfv-8xz9S90S2jpmQODQ5ipPSQvBDjK-A89CNwhCTh6RkGg-5WFcKDEUf7tyh9AxChJR3b3aHO_N2RTG4iVAsrfWXZk4ixjyuJ6m8krDcU5E_wdOuO8i6iJEdJzPZ62gSKGpX8_A8Z-7p2wCPWL2BdOmqD0Y-cpUxgIO2ql92PcJHNTN_FqJ-V2Q8Vr6IO1qkqh4sXcNSvMBYQWTSEfNzUC96BmaukRoHQwpXhl4O07-KvWR8VfKejwYC59FKdsieDxHcHZdwQG2TeQaE0lsZVnd8MQlgckPWkNF-RkBOdcTk76OAsNG02vXYOunrjLYVLtVuvg_x1_U_n-fnpwStpWc0qS9Oc7_pFhnHuKWHsB2dRCsfR2du6UG_RsPF4gQqvv31PpRbX3YRuOK3XcgIhBzQqGkV6BRTHliz5T7jZyeenObGBE2sOIN14LNJx5Jq8jC9s4OYHnp6vCvVECYEVOHOg==\",\"summary\":[]}"},{"type":"toolCall","id":"call_jSjbkBFLoqkzyY03rMl5h9W9|fc_0d852cbc8d6115830169fa03220908819481a5cb8bb17d25ba","name":"todo","arguments":{"action":"create","subject":"Debug missing session-close memory capture pipeline","description":"Trace why session-close auto capture is not creating sources/ingestion_events or episode memories. Find the hook, verify whether it is missing, miswired, or failing silently, then patch and validate end to end.","activeForm":"debugging session-close memory capture","status":"in_progress"}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":404,"output":102,"cacheRead":56320,"cacheWrite":0,"totalTokens":56826,"cost":{"input":0.00101,"output":0.0015300000000000001,"cacheRead":0.014079999999999999,"cacheWrite":0,"total":0.01662}},"stopReason":"toolUse","timestamp":1777992479770,"responseId":"resp_0d852cbc8d6115830169fa032069d8819489844bc04d49df1a"}}
{"type":"message","id":"3d4484de","parentId":"6b4bc324","timestamp":"2026-05-05T14:48:03.435Z","message":{"role":"toolResult","toolCallId":"call_jSjbkBFLoqkzyY03rMl5h9W9|fc_0d852cbc8d6115830169fa03220908819481a5cb8bb17d25ba","toolName":"todo","content":[{"type":"text","text":"Created #1: Debug missing session-close memory capture pipeline (pending)"}],"details":{"action":"create","params":{"action":"create","subject":"Debug missing session-close memory capture pipeline","description":"Trace why session-close auto capture is not creating sources/ingestion_events or episode memories. Find the hook, verify whether it is missing, miswired, or failing silently, then patch and validate end to end.","activeForm":"debugging session-close memory capture","status":"in_progress"},"tasks":[{"id":1,"subject":"Debug missing session-close memory capture pipeline","status":"pending","description":"Trace why session-close auto capture is not creating sources/ingestion_events or episode memories. Find the hook, verify whether it is missing, miswired, or failing silently, then patch and validate end to end.","activeForm":"debugging session-close memory capture"}],"nextId":2},"isError":false,"timestamp":1777992483435}}
{"type":"message","id":"5f4af612","parentId":"3d4484de","timestamp":"2026-05-05T14:48:05.758Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_0d852cbc8d6115830169fa0324e3ac81948b4b7e7bef9991af\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-gMl3vIxLIWV8ZK-PhLYiQUAjAJQ6vc3pB8x6odvpcKTConKnDiHjU5AYlJrYNSl98Z8BvXT-Y_szO_usKSCvb0_jcEzBJgjH6Gy6yjTU7vBDfvCnXJZEo73XaPRQZNlWKisjz51RWC8UdBjhOT5ya1oNAEAGSGGxxYOcPp6jqDj1-VQ4Ph2ULSlOv5HVX_ueC0Z45MEW3J0CbCWC_RXlFmZIOU4Ix0eSTAPYOXJESAEcBR8d_gpoWAyjryFHBTFNa-gGiwIyF05lX9Jbq5_B264BFz3SLf26sCzShpo2u-a3G8jiT-IMZTt-OxtfhsnbVVhjfFnuCsDZ5AqsvRKUXgrv0r68k2vwgyp0FfTjc0tQ685uETEtM3nSWaoKweJQlKrhw7Crg6ZrALPjNVXhVdrqQ43ZseeBpJL28MZzhuG_wxc83L7YbSJivKO4KvEOXf1EpQyk8MNBVBkRIHiNhKvTfadUIz143j3KH9v0tiKZTN87mkGbcCZF2lOL9Xppy4-kCFu6om3qhhCQgdk4i2KhBM7bSaOanjgsEOVq-HGkJoxC1cBZwMS695vmJrd_hqR6MwfzoItZ3wttH1QD-Jqrm2oKtFFEjPtTdpa8LtodMRXCeltH2BvQNrsSSQJe928rfSV8p9xqXu4nrc5gTiyKMacou_izORd6Ps5q9F49-rDx7IfbH1RWOUEqD87G-Z05vRYTLy-yo3GxOfGzvts1wPd13nKltKRC5-KHELR3-pq84dkwMaJ_6pklZtzsX2ryPV11hHJW6JM_-nw06EIE-R69B3TGxvqL9KehQamqAM4f6aiqJgHuxbkNXOyVQKRRAaY7Nzigyx5VY2QpSichran2uhsPHlVhwCZGHtfkSTAGEvfE9-Xj-GcCAyLPjyXGef0eC7CI4-DlpZXF7rpgG8i2F96upVVw8FnAwWP-iShG_RFNib3Ay2QWq54ucea\",\"summary\":[]}"},{"type":"toolCall","id":"call_r13AuwO0K2Kqy52w4Gdrmh2u|fc_0d852cbc8d6115830169fa03255d3481949794a4315cad54d2","name":"todo","arguments":{"action":"update","id":1,"status":"in_progress"}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":530,"output":37,"cacheRead":56320,"cacheWrite":0,"totalTokens":56887,"cost":{"input":0.001325,"output":0.000555,"cacheRead":0.014079999999999999,"cacheWrite":0,"total":0.01596}},"stopReason":"toolUse","timestamp":1777992483437,"responseId":"resp_0d852cbc8d6115830169fa0323e9908194bfd9bc0843da0a2f"}}
{"type":"message","id":"2753deca","parentId":"5f4af612","timestamp":"2026-05-05T14:48:05.759Z","message":{"role":"toolResult","toolCallId":"call_r13AuwO0K2Kqy52w4Gdrmh2u|fc_0d852cbc8d6115830169fa03255d3481949794a4315cad54d2","toolName":"todo","content":[{"type":"text","text":"Updated #1 (pending → in_progress)"}],"details":{"action":"update","params":{"action":"update","id":1,"status":"in_progress"},"tasks":[{"id":1,"subject":"Debug missing session-close memory capture pipeline","status":"in_progress","description":"Trace why session-close auto capture is not creating sources/ingestion_events or episode memories. Find the hook, verify whether it is missing, miswired, or failing silently, then patch and validate end to end.","activeForm":"debugging session-close memory capture"}],"nextId":2},"isError":false,"timestamp":1777992485759}}
{"type":"message","id":"1e2ef460","parentId":"2753deca","timestamp":"2026-05-05T14:48:10.611Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_3X6Fjw62XnLporMIzNr3TOtN|fc_0d852cbc8d6115830169fa032a6d108194b9d859b60b4de9cd","name":"bash","arguments":{"command":"cd /home/sebas && rg -n \"capture_session\\(|capture_conversation\\(|session_close|conversation_capture|/api/ingest|memory-write|source_kind.*manual|session analysis|session-end|session end|close session|on close|conversation:\" -S .","timeout":20}},{"type":"toolCall","id":"call_RBSkI6TtwBUS0Z5DhmV9G96U|fc_0d852cbc8d6115830169fa032a6d208194a277b95145168478","name":"bash","arguments":{"command":"cd /home/sebas && rg -n \"memory-write|capture_session|capture_conversation|api/ingest|agents-database\" ~/.agents /mnt/rpi/pi-config -S","timeout":20}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":586,"output":152,"cacheRead":56320,"cacheWrite":0,"totalTokens":57058,"cost":{"input":0.0014650000000000002,"output":0.00228,"cacheRead":0.014079999999999999,"cacheWrite":0,"total":0.017825}},"stopReason":"toolUse","timestamp":1777992485760,"responseId":"resp_0d852cbc8d6115830169fa0326849c81948d1fcd24aa46da27"}}
{"type":"message","id":"b9aedc41","parentId":"1e2ef460","timestamp":"2026-05-05T14:48:11.615Z","message":{"role":"toolResult","toolCallId":"call_3X6Fjw62XnLporMIzNr3TOtN|fc_0d852cbc8d6115830169fa032a6d108194b9d859b60b4de9cd","toolName":"bash","content":[{"type":"text","text":"./eiffel-monitor/monitor.log:12302:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:12304:future: <Task finished name='Task-9951' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:12321:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:12323:future: <Task finished name='Task-9957' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:12340:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:12342:future: <Task finished name='Task-9963' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:12359:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:12361:future: <Task finished name='Task-9969' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:12378:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:12380:future: <Task finished name='Task-9975' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:12397:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:12399:future: <Task finished name='Task-9981' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:12416:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:12418:future: <Task finished name='Task-9987' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:12435:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:12473:future: <Task finished name='Task-9999' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:12490:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:12492:future: <Task finished name='Task-10005' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:12509:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:12511:future: <Task finished name='Task-10011' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:12528:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:12530:future: <Task finished name='Task-10017' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:12547:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:12549:future: <Task finished name='Task-10023' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:12566:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:12568:future: <Task finished name='Task-10029' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:12585:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:12587:future: <Task finished name='Task-10035' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:12604:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:12606:future: <Task finished name='Task-10041' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:12623:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:12625:future: <Task finished name='Task-10047' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:12642:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:12644:future: <Task finished name='Task-10053' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:12661:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:12663:future: <Task finished name='Task-10059' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:12680:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:12718:future: <Task finished name='Task-9417' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:12735:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:12737:future: <Task finished name='Task-9489' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:12754:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:12756:future: <Task finished name='Task-9561' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:12773:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:12775:future: <Task finished name='Task-9633' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:12792:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:12794:future: <Task finished name='Task-9705' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:12811:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:12813:future: <Task finished name='Task-9777' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:12830:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:12832:future: <Task finished name='Task-9849' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:12849:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:12851:future: <Task finished name='Task-9921' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:12868:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:12870:future: <Task finished name='Task-9993' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:12887:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:12889:future: <Task finished name='Task-10065' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:12906:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:12908:future: <Task finished name='Task-10071' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:12925:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:12927:future: <Task finished name='Task-10077' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:12944:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:12946:future: <Task finished name='Task-10083' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:12963:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:12965:future: <Task finished name='Task-10089' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:12982:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:12984:future: <Task finished name='Task-10095' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13001:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13003:future: <Task finished name='Task-10101' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13020:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13022:future: <Task finished name='Task-10107' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13039:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13041:future: <Task finished name='Task-10113' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13058:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13060:future: <Task finished name='Task-10119' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13077:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13079:future: <Task finished name='Task-10125' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13096:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13098:future: <Task finished name='Task-10131' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13115:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13153:future: <Task finished name='Task-10143' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13170:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13172:future: <Task finished name='Task-10149' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13189:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13191:future: <Task finished name='Task-10155' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13208:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13210:future: <Task finished name='Task-10161' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13227:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13229:future: <Task finished name='Task-10167' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13246:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13248:future: <Task finished name='Task-10173' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13265:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13267:future: <Task finished name='Task-10179' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13284:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13286:future: <Task finished name='Task-10185' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13303:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13305:future: <Task finished name='Task-10191' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13322:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13324:future: <Task finished name='Task-10197' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13341:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13343:future: <Task finished name='Task-10203' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13360:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13398:future: <Task finished name='Task-10215' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13415:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13417:future: <Task finished name='Task-10221' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13434:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13436:future: <Task finished name='Task-10227' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13453:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13455:future: <Task finished name='Task-10233' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13472:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13474:future: <Task finished name='Task-10239' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13491:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13493:future: <Task finished name='Task-10245' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13510:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13512:future: <Task finished name='Task-10251' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13529:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13531:future: <Task finished name='Task-10257' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13548:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13550:future: <Task finished name='Task-10263' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13567:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13569:future: <Task finished name='Task-10269' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13586:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13588:future: <Task finished name='Task-10275' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13605:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13643:future: <Task finished name='Task-10287' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13660:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13662:future: <Task finished name='Task-10293' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13679:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13681:future: <Task finished name='Task-10299' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13698:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13700:future: <Task finished name='Task-10305' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13717:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13719:future: <Task finished name='Task-10311' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13736:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13738:future: <Task finished name='Task-10317' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13755:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13757:future: <Task finished name='Task-10323' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13774:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13776:future: <Task finished name='Task-10329' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13793:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13795:future: <Task finished name='Task-10335' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13812:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13814:future: <Task finished name='Task-10341' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13831:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13833:future: <Task finished name='Task-10347' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13850:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13888:future: <Task finished name='Task-10359' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13905:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13907:future: <Task finished name='Task-10365' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13924:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13926:future: <Task finished name='Task-10371' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13943:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13945:future: <Task finished name='Task-10377' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13962:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13964:future: <Task finished name='Task-10383' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13981:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13983:future: <Task finished name='Task-10389' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:14000:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:14002:future: <Task finished name='Task-10395' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:14019:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:14021:future: <Task finished name='Task-10401' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:14038:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:14040:future: <Task finished name='Task-10407' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:14057:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:14059:future: <Task finished name='Task-10413' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:14076:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:14078:future: <Task finished name='Task-10419' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:14095:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:14133:future: <Task finished name='Task-10431' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:14150:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:14152:future: <Task finished name='Task-10437' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:14169:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:14171:future: <Task finished name='Task-10443' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:14188:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:14190:future: <Task finished name='Task-10449' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:14207:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:14209:future: <Task finished name='Task-10455' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:14226:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:14228:future: <Task finished name='Task-10461' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:14245:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:14247:future: <Task finished name='Task-10467' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:14264:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:14266:future: <Task finished name='Task-10473' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:14283:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:14285:future: <Task finished name='Task-10479' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:14302:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:14304:future: <Task finished name='Task-10485' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:14321:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:14323:future: <Task finished name='Task-10491' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:14340:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:14378:future: <Task finished name='Task-10503' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:14395:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:14397:future: <Task finished name='Task-10509' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:14414:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:14416:future: <Task finished name='Task-10515' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:14433:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:14435:future: <Task finished name='Task-10521' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:14452:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:14454:future: <Task finished name='Task-10527' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:14471:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:14473:future: <Task finished name='Task-10533' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:14490:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:14492:future: <Task finished name='Task-10539' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:14509:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:14511:future: <Task finished name='Task-10545' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:14528:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:14530:future: <Task finished name='Task-10551' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:14547:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:14549:future: <Task finished name='Task-10557' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:14566:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:14568:future: <Task finished name='Task-10563' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:14585:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:14623:future: <Task finished name='Task-10575' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:14640:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:14642:future: <Task finished name='Task-10581' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:14659:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:14661:future: <Task finished name='Task-10587' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:14678:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:14680:future: <Task finished name='Task-10593' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:14697:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:14699:future: <Task finished name='Task-10599' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:14716:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:14718:future: <Task finished name='Task-10605' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:14735:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:14737:future: <Task finished name='Task-10611' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:14754:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:14756:future: <Task finished name='Task-10617' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:14773:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:14775:future: <Task finished name='Task-10623' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:14792:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:14794:future: <Task finished name='Task-10629' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:14811:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:14813:future: <Task finished name='Task-10635' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:14830:Exception: Connection.init: Connection closed while reading from the driver\n./telegram-bot-listener-backup-20260118/venv/lib/python3.13/site-packages/httpcore/_backends/mock.py:32:            raise ReadError(\"Connection closed\")\n./telegram-bot-listener-backup-20260118/venv/lib/python3.13/site-packages/httpcore/_backends/mock.py:93:            raise ReadError(\"Connection closed\")\n./telegram-bot-listener-backup-20260118/venv/lib/python3.13/site-packages/pip/_vendor/urllib3/response.py:471:                # everything, so if we have a hold of the connection close that\n./telegram-bot-listener-backup-20260118/venv/lib/python3.13/site-packages/pip/_vendor/rich/console.py:976:            # ValueError: I/O operation on closed file\n./telegram-bot-listener-backup-20260118/venv/lib/python3.13/site-packages/pip/_vendor/distlib/version.py:462:    \"\"\"Suggest a normalized version close to the given version string.\n./telegram-bot-listener-backup-20260118/venv/lib/python3.13/site-packages/anyio/_core/_tempfile.py:140:    :param delete_on_close: (Python 3.12+) Whether to delete the file on close.\n./telegram-bot-listener-backup-20260118/venv/lib/python3.13/site-packages/httpcore-1.0.9.dist-info/METADATA:379:- Don't raise exceptions on ungraceful connection closes. (Pull #310)\n./telegram-bot-listener-backup-20260118/venv/lib/python3.13/site-packages/httpcore-1.0.9.dist-info/METADATA:424:- Abort SSL connections on close rather than waiting for remote EOF when using `asyncio`.  (Pull #167)\n\n\n[Showing lines 168-409 of 409 (50.0KB limit). Full output: /tmp/pi-bash-90b504501481150b.log]"}],"details":{"truncation":{"content":"./eiffel-monitor/monitor.log:12302:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:12304:future: <Task finished name='Task-9951' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:12321:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:12323:future: <Task finished name='Task-9957' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:12340:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:12342:future: <Task finished name='Task-9963' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:12359:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:12361:future: <Task finished name='Task-9969' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:12378:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:12380:future: <Task finished name='Task-9975' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:12397:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:12399:future: <Task finished name='Task-9981' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:12416:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:12418:future: <Task finished name='Task-9987' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:12435:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:12473:future: <Task finished name='Task-9999' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:12490:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:12492:future: <Task finished name='Task-10005' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:12509:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:12511:future: <Task finished name='Task-10011' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:12528:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:12530:future: <Task finished name='Task-10017' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:12547:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:12549:future: <Task finished name='Task-10023' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:12566:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:12568:future: <Task finished name='Task-10029' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:12585:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:12587:future: <Task finished name='Task-10035' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:12604:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:12606:future: <Task finished name='Task-10041' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:12623:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:12625:future: <Task finished name='Task-10047' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:12642:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:12644:future: <Task finished name='Task-10053' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:12661:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:12663:future: <Task finished name='Task-10059' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:12680:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:12718:future: <Task finished name='Task-9417' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:12735:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:12737:future: <Task finished name='Task-9489' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:12754:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:12756:future: <Task finished name='Task-9561' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:12773:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:12775:future: <Task finished name='Task-9633' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:12792:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:12794:future: <Task finished name='Task-9705' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:12811:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:12813:future: <Task finished name='Task-9777' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:12830:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:12832:future: <Task finished name='Task-9849' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:12849:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:12851:future: <Task finished name='Task-9921' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:12868:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:12870:future: <Task finished name='Task-9993' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:12887:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:12889:future: <Task finished name='Task-10065' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:12906:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:12908:future: <Task finished name='Task-10071' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:12925:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:12927:future: <Task finished name='Task-10077' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:12944:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:12946:future: <Task finished name='Task-10083' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:12963:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:12965:future: <Task finished name='Task-10089' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:12982:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:12984:future: <Task finished name='Task-10095' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13001:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13003:future: <Task finished name='Task-10101' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13020:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13022:future: <Task finished name='Task-10107' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13039:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13041:future: <Task finished name='Task-10113' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13058:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13060:future: <Task finished name='Task-10119' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13077:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13079:future: <Task finished name='Task-10125' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13096:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13098:future: <Task finished name='Task-10131' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13115:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13153:future: <Task finished name='Task-10143' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13170:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13172:future: <Task finished name='Task-10149' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13189:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13191:future: <Task finished name='Task-10155' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13208:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13210:future: <Task finished name='Task-10161' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13227:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13229:future: <Task finished name='Task-10167' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13246:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13248:future: <Task finished name='Task-10173' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13265:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13267:future: <Task finished name='Task-10179' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13284:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13286:future: <Task finished name='Task-10185' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13303:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13305:future: <Task finished name='Task-10191' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13322:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13324:future: <Task finished name='Task-10197' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13341:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13343:future: <Task finished name='Task-10203' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13360:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13398:future: <Task finished name='Task-10215' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13415:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13417:future: <Task finished name='Task-10221' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13434:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13436:future: <Task finished name='Task-10227' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13453:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13455:future: <Task finished name='Task-10233' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13472:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13474:future: <Task finished name='Task-10239' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13491:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13493:future: <Task finished name='Task-10245' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13510:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13512:future: <Task finished name='Task-10251' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13529:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13531:future: <Task finished name='Task-10257' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13548:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13550:future: <Task finished name='Task-10263' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13567:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13569:future: <Task finished name='Task-10269' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13586:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13588:future: <Task finished name='Task-10275' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13605:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13643:future: <Task finished name='Task-10287' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13660:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13662:future: <Task finished name='Task-10293' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13679:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13681:future: <Task finished name='Task-10299' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13698:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13700:future: <Task finished name='Task-10305' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13717:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13719:future: <Task finished name='Task-10311' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13736:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13738:future: <Task finished name='Task-10317' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13755:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13757:future: <Task finished name='Task-10323' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13774:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13776:future: <Task finished name='Task-10329' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13793:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13795:future: <Task finished name='Task-10335' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13812:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13814:future: <Task finished name='Task-10341' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13831:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13833:future: <Task finished name='Task-10347' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13850:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13888:future: <Task finished name='Task-10359' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13905:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13907:future: <Task finished name='Task-10365' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13924:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13926:future: <Task finished name='Task-10371' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13943:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13945:future: <Task finished name='Task-10377' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13962:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13964:future: <Task finished name='Task-10383' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:13981:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:13983:future: <Task finished name='Task-10389' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:14000:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:14002:future: <Task finished name='Task-10395' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:14019:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:14021:future: <Task finished name='Task-10401' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:14038:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:14040:future: <Task finished name='Task-10407' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:14057:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:14059:future: <Task finished name='Task-10413' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:14076:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:14078:future: <Task finished name='Task-10419' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:14095:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:14133:future: <Task finished name='Task-10431' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:14150:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:14152:future: <Task finished name='Task-10437' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:14169:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:14171:future: <Task finished name='Task-10443' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:14188:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:14190:future: <Task finished name='Task-10449' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:14207:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:14209:future: <Task finished name='Task-10455' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:14226:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:14228:future: <Task finished name='Task-10461' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:14245:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:14247:future: <Task finished name='Task-10467' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:14264:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:14266:future: <Task finished name='Task-10473' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:14283:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:14285:future: <Task finished name='Task-10479' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:14302:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:14304:future: <Task finished name='Task-10485' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:14321:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:14323:future: <Task finished name='Task-10491' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:14340:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:14378:future: <Task finished name='Task-10503' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:14395:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:14397:future: <Task finished name='Task-10509' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:14414:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:14416:future: <Task finished name='Task-10515' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:14433:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:14435:future: <Task finished name='Task-10521' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:14452:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:14454:future: <Task finished name='Task-10527' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:14471:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:14473:future: <Task finished name='Task-10533' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:14490:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:14492:future: <Task finished name='Task-10539' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:14509:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:14511:future: <Task finished name='Task-10545' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:14528:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:14530:future: <Task finished name='Task-10551' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:14547:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:14549:future: <Task finished name='Task-10557' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:14566:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:14568:future: <Task finished name='Task-10563' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:14585:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:14623:future: <Task finished name='Task-10575' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:14640:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:14642:future: <Task finished name='Task-10581' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:14659:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:14661:future: <Task finished name='Task-10587' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:14678:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:14680:future: <Task finished name='Task-10593' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:14697:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:14699:future: <Task finished name='Task-10599' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:14716:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:14718:future: <Task finished name='Task-10605' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:14735:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:14737:future: <Task finished name='Task-10611' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:14754:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:14756:future: <Task finished name='Task-10617' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:14773:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:14775:future: <Task finished name='Task-10623' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:14792:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:14794:future: <Task finished name='Task-10629' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:14811:Exception: Connection.init: Connection closed while reading from the driver\n./eiffel-monitor/monitor.log:14813:future: <Task finished name='Task-10635' coro=<Connection.run.<locals>.init() done, defined at /home/sebas/eiffel-monitor/venv/lib/python3.13/site-packages/playwright/_impl/_connection.py:309> exception=Exception('Connection.init: Connection closed while reading from the driver')>\n./eiffel-monitor/monitor.log:14830:Exception: Connection.init: Connection closed while reading from the driver\n./telegram-bot-listener-backup-20260118/venv/lib/python3.13/site-packages/httpcore/_backends/mock.py:32:            raise ReadError(\"Connection closed\")\n./telegram-bot-listener-backup-20260118/venv/lib/python3.13/site-packages/httpcore/_backends/mock.py:93:            raise ReadError(\"Connection closed\")\n./telegram-bot-listener-backup-20260118/venv/lib/python3.13/site-packages/pip/_vendor/urllib3/response.py:471:                # everything, so if we have a hold of the connection close that\n./telegram-bot-listener-backup-20260118/venv/lib/python3.13/site-packages/pip/_vendor/rich/console.py:976:            # ValueError: I/O operation on closed file\n./telegram-bot-listener-backup-20260118/venv/lib/python3.13/site-packages/pip/_vendor/distlib/version.py:462:    \"\"\"Suggest a normalized version close to the given version string.\n./telegram-bot-listener-backup-20260118/venv/lib/python3.13/site-packages/anyio/_core/_tempfile.py:140:    :param delete_on_close: (Python 3.12+) Whether to delete the file on close.\n./telegram-bot-listener-backup-20260118/venv/lib/python3.13/site-packages/httpcore-1.0.9.dist-info/METADATA:379:- Don't raise exceptions on ungraceful connection closes. (Pull #310)\n./telegram-bot-listener-backup-20260118/venv/lib/python3.13/site-packages/httpcore-1.0.9.dist-info/METADATA:424:- Abort SSL connections on close rather than waiting for remote EOF when using `asyncio`.  (Pull #167)\n","truncated":true,"truncatedBy":"bytes","totalLines":409,"totalBytes":86916,"outputLines":242,"outputBytes":51159,"lastLinePartial":false,"firstLineExceedsLimit":false,"maxLines":2000,"maxBytes":51200},"fullOutputPath":"/tmp/pi-bash-90b504501481150b.log"},"isError":false,"timestamp":1777992491609}}
{"type":"message","id":"dfe78669","parentId":"b9aedc41","timestamp":"2026-05-05T14:48:11.618Z","message":{"role":"toolResult","toolCallId":"call_RBSkI6TtwBUS0Z5DhmV9G96U|fc_0d852cbc8d6115830169fa032a6d208194a277b95145168478","toolName":"bash","content":[{"type":"text","text":"/home/sebas/.agents/skills.bck/personal-research/SKILL.md:22:      \"${AGENTS_DB_API:-http://100.116.176.16:8091}/api/ingest\"`\n/home/sebas/.agents/skills.bck/personal-research/SKILL.md:26:      \"${AGENTS_DB_API:-http://100.116.176.16:8091}/api/ingest\"`\n/home/sebas/.agents/skills.bck/personal-research/SKILL.md:30:      \"${AGENTS_DB_API:-http://100.116.176.16:8091}/api/ingest\"`\n/home/sebas/.agents/skills.bck/personal-research/SKILL.md:38:      \"${AGENTS_DB_API:-http://100.116.176.16:8091}/api/ingest\"`\n/home/sebas/.agents/skills/memory-write/memory-write:20:    p = argparse.ArgumentParser(description='Write memory to agents-database')\n/home/sebas/.agents/skills/memory-write/memory-write:75:        api.rstrip('/') + '/api/ingest',\n/home/sebas/.agents/skills/memory-write/SKILL.md:2:name: memory-write\n/home/sebas/.agents/skills/memory-write/SKILL.md:3:description: Save a durable high-signal memory into agents-database\n/home/sebas/.agents/skills/memory-write/SKILL.md:6:# memory-write\n/home/sebas/.agents/skills/memory-write/SKILL.md:33:   - `~/.agents/skills/memory-write/memory-write --type <type> --scope <scope> --title \"<title>\" --content \"<content>\"`\n/home/sebas/.agents/skills/memory-write/SKILL.md:39:~/.agents/skills/memory-write/memory-write \\\n/home/sebas/.agents/skills/memory-write/SKILL.md:48:~/.agents/skills/memory-write/memory-write \\\n/home/sebas/.agents/skills/memory-write/SKILL.md:53:  --content \"Treat agents-database as shared durable memory, not only search.\" \\\n/mnt/rpi/pi-config/SYSTEM.md:39:Use the `agents-database` HTTP API on `http://100.116.176.16:8091`, especially `GET /api/search`, `GET /api/context`, and `POST /api/ingest`.\n/mnt/rpi/pi-config/SYSTEM.md:60:`agents-database` status: `http://100.116.176.16:8091/api/status`\n/mnt/rpi/pi-config/AGENTS.md:45:- `agents-database`: `http://100.116.176.16:8091/api/status`\n/mnt/rpi/pi-config/README.md:28:- Session close hook now prompts once before switch/fork/exit to encourage saving durable memory into agents-database.\n/mnt/rpi/pi-config/README.md:30:- The canonical memory pipeline lives in `agents-database` (`MemoryService` / `MemoryEngine`). Repo-local helpers should only capture session context and hand off to that service.\n/mnt/rpi/pi-config/scripts/session-memory-analyzer.py:48:        f\"{AGENTS_DB_API}/api/ingest\",\n/mnt/rpi/pi-config/docs/agents-database-memory-contract.md:3:This repo uses `agents-database` as the canonical memory store.\n/mnt/rpi/pi-config/docs/agents-database-memory-contract.md:9:- `capture_session()` and `capture_conversation()` create raw source material.\n"}],"isError":false,"timestamp":1777992491615}}
{"type":"message","id":"621b61ed","parentId":"dfe78669","timestamp":"2026-05-05T14:48:16.816Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_0d852cbc8d6115830169fa032e2e70819486bdb4e03c12594a\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-gMwUYr38kvtlUOHIcU1RFer_tbsFNO2Q3sNvrFkZ8DTeAl_esqF7TafNuiOTODrXiAovG693vRYGkbJs5vPb532nBts2tKnetHEBSGHhm5zEyoU8-eUXQ6l1OBybtZRNXbyIFUJZetYX3iPuP2BaZQON_I3kkHt1h07bmvAz7i5bJ3le4wIlG7JknJ0mgy1FmEoXbvtRYn-Ns9B-WTESYzVmmd-SxbZ_rfP-pizsZGQtKkbCteh-K7BKmoDD521Cu9xpZ8rv-LlEIXM-rAc9amT6wdor-dRb_K4J7pB1Qyp8aFbaoBEvLFzYngQ2TjxTFoPc7pfBxn4HEVhCRj1ORmTT-TuhB3YZog3lphgX-IqD1DdNIlE1RUfe0Nneo2FLM-yndkc5lWRPHANuqGjb6rlZtz9DTnboLVyi3qL0UviS-be6u6MroHC8QmQUpBITrykj3wqK77qsI-1n6lJmctgrBCxS1cPyZCty0Vwt7N2VFHsvReM3toXBuDtxhWKU1ovH6Ht66qEmcO5BpWcSEGKdYlxzE92wYHmHHVGVgFkLIG1GoWgFhRP9ilAgReUDoHeKRn4KTTk9smWMuVb794hqsHjeaQ1By1HgFXEeOhwNhko3o5S6zQhbUgpTnOf3rAIuGEg2Q59ip_kkm7gHAHAjZcjySpgiCJZmc2z9c_U-u3_ucCtBTyYycY-v15Y98_NnUj2B7xqmMeTdgaMNqjjtAbAoxQCKq7-bPNmsGaL7_X5fXPvgMn-3bsXtU_BBZxqzlwQn4jlv_f2ML1aT1WSCSQnYrUXVvF4pX8QMhHekEN9-Cau0hEjxmkobTuDXKXG6iSp7hbyHZTjoo4YkguvncNQSgmU-ZMsKxlpHUPUJaWHy-DhD52frjEbw7COaynrR3JNjnlS1KK8f0YAfr3G4rL6j1Q1wUayEQhuacBveYLZEGI6xwwWpwwCRy6DiEQP\",\"summary\":[]}"},{"type":"toolCall","id":"call_vPncYZLgaykxKTr5z1ZDbH5H|fc_0d852cbc8d6115830169fa033096e881948dcd814ea66cd5c0","name":"read","arguments":{"path":"/mnt/rpi/pi-config/README.md","offset":20,"limit":80}},{"type":"toolCall","id":"call_PFyTtO8apbwwJ00zjlxEV17g|fc_0d852cbc8d6115830169fa033096f88194a4eaf2cea057f3be","name":"read","arguments":{"path":"/mnt/rpi/pi-config/scripts/session-memory-analyzer.py","offset":1,"limit":260}},{"type":"toolCall","id":"call_gFgQjCk98aT1GNqE4b2xR5Pm|fc_0d852cbc8d6115830169fa03309700819487a63a53730c3b84","name":"read","arguments":{"path":"/mnt/rpi/pi-config/docs/agents-database-memory-contract.md","offset":1,"limit":220}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":14042,"output":127,"cacheRead":56320,"cacheWrite":0,"totalTokens":70489,"cost":{"input":0.035105000000000004,"output":0.001905,"cacheRead":0.014079999999999999,"cacheWrite":0,"total":0.051089999999999997}},"stopReason":"toolUse","timestamp":1777992491618,"responseId":"resp_0d852cbc8d6115830169fa032d1eb08194865d7cd0f721c767"}}
{"type":"message","id":"61a27a14","parentId":"621b61ed","timestamp":"2026-05-05T14:48:16.866Z","message":{"role":"toolResult","toolCallId":"call_vPncYZLgaykxKTr5z1ZDbH5H|fc_0d852cbc8d6115830169fa033096e881948dcd814ea66cd5c0","toolName":"read","content":[{"type":"text","text":"\n## Goal\n\nMake this repo both the source of truth **and the live Pi config directory**.\n\n## Notes\n\n- Direct, compressed, low-noise communication is the default style.\n- Session close hook now prompts once before switch/fork/exit to encourage saving durable memory into agents-database.\n- Session memory now uses an external local dispatcher on `127.0.0.1:17882`; the hook only captures session identity/context, the dispatcher enqueues metadata, and a background analyzer decides whether anything durable is worth saving.\n- The canonical memory pipeline lives in `agents-database` (`MemoryService` / `MemoryEngine`). Repo-local helpers should only capture session context and hand off to that service.\n- The analyzer uses `pi` in background with a cheap model (`gpt-5.4-mini`) and thinking off when possible.\n- Use `./scripts/install-session-memory-dispatcher.service` to keep the dispatcher alive under systemd user service if desired.\n- The old `session_before_shutdown` runtime patch remains as fallback only if you choose to keep it enabled.\n- Reapply the runtime patch after Pi upgrades only if you still use that fallback: `./scripts/apply-pi-shutdown-hook-patch.py`\n- **Pending validation:** confirm the default communication mode auto-loads in every new Pi session.\n- Top-level `/tmp` files older than 3 days are cleaned every 3 days via `bin/tmp-cleanup`.\n- Install the cleanup cron with `scripts/install-tmp-cleanup-cron.sh`.\n- Remote laptop workflow can be driven from this Pi using `bin/laptop-run`, `bin/laptop-read`, `bin/laptop-write`, `bin/laptop-rsync`, `bin/laptop-mount`, and `bin/laptop-umount` against host `sebastians-macbook-pro-2`.\n\n## Local server routes on `ballbox-first`\n\nCurrent nginx portal on `:80` exposes:\n- `/` → portal home from `/var/www/portal`\n- `/pi-job-status.json` → generated status file with active tmux `pi-job-` session count\n- `/portal/` → proxied app on `127.0.0.1:18789`\n- `/calistenia/` → static files from `/home/sebas/clawd/web/calistenia/`\n- `/files/` → copyparty file server on `127.0.0.1:3923`\n- `/mp3-share/` → static directory listing from `/home/sebas/downloads/mp3-share/`\n\nImplementation note for `/mp3-share/`:\n- nginx route lives in `/etc/nginx/sites-available/kiosk`\n- portal home link lives in `/var/www/portal/index.html`\n- nginx access to `/home/sebas/downloads/mp3-share/` depends on ACLs that allow user `www-data` to traverse `/home/sebas` and read that subtree\n\n## Remote laptop helpers\n\nDefault host is `sebastians-macbook-pro-2`. Override with `LAPTOP_HOST` if needed.\n\nExamples:\n- `bin/laptop-run 'uname -a'`\n- `bin/laptop-read /Users/sebas/.zshrc | sed -n '1,40p'`\n- `bin/laptop-rsync sebastians-macbook-pro-2:/Users/sebas/Downloads/file ./`\n- `bin/laptop-rsync ./localfile sebastians-macbook-pro-2:/Users/sebas/Downloads/`\n- `printf 'new contents\\n' | bin/laptop-write /Users/sebas/Downloads/test.txt`\n- `bin/laptop-write --from ./localfile /Users/sebas/Downloads/test.txt`\n- `bin/laptop-mount /Users/sebas/Downloads downloads` then work at `~/mnt/laptop/downloads`\n\n## /tmp cleanup\n\nTop-level `/tmp` files older than 3 days are cleaned every 3 days.\n\n- `bin/tmp-cleanup [--dry-run]`\n- `scripts/install-tmp-cleanup-cron.sh`\n\n"}],"isError":false,"timestamp":1777992496864}}
{"type":"message","id":"d54f269a","parentId":"61a27a14","timestamp":"2026-05-05T14:48:16.868Z","message":{"role":"toolResult","toolCallId":"call_PFyTtO8apbwwJ00zjlxEV17g|fc_0d852cbc8d6115830169fa033096f88194a4eaf2cea057f3be","toolName":"read","content":[{"type":"text","text":"#!/usr/bin/env python3\nfrom __future__ import annotations\n\nimport argparse\nimport json\nimport os\nimport subprocess\nimport sys\nfrom pathlib import Path\nfrom typing import Any\nfrom urllib import request\n\nAGENTS_DB_API = os.environ.get(\"AGENTS_DB_API\", \"http://100.116.176.16:8091\")\nPI_MODEL = os.environ.get(\"PI_SESSION_MEMORY_MODEL\", \"gpt-5.4-mini\")\nPI_THINKING = os.environ.get(\"PI_SESSION_MEMORY_THINKING\", \"off\")\n\n\ndef load_job(job_file: Path) -> dict[str, Any]:\n    return json.loads(job_file.read_text(encoding=\"utf-8\"))\n\n\ndef save_job(job_file: Path, payload: dict[str, Any]) -> None:\n    job_file.write_text(json.dumps(payload, indent=2, ensure_ascii=False) + \"\\n\", encoding=\"utf-8\")\n\n\ndef call_pi(prompt: str) -> str:\n    cmd = [\n        \"pi\",\n        \"-p\",\n        \"--provider\",\n        \"openai-codex\",\n        \"--model\",\n        PI_MODEL,\n        \"--thinking\",\n        PI_THINKING,\n        \"--no-tools\",\n        \"--no-session\",\n        prompt,\n    ]\n    proc = subprocess.run(cmd, capture_output=True, text=True)\n    if proc.returncode != 0:\n        raise RuntimeError(proc.stderr.strip() or proc.stdout.strip() or f\"pi failed ({proc.returncode})\")\n    return proc.stdout.strip()\n\n\ndef ingest(memory: dict[str, Any]) -> dict[str, Any]:\n    req = request.Request(\n        f\"{AGENTS_DB_API}/api/ingest\",\n        method=\"POST\",\n        data=json.dumps(memory).encode(),\n        headers={\"Content-Type\": \"application/json\"},\n    )\n    with request.urlopen(req, timeout=30) as resp:\n        return json.loads(resp.read().decode(\"utf-8\"))\n\n\ndef extract_json(text: str) -> dict[str, Any]:\n    raw = text.strip()\n    if raw.startswith(\"```\"):\n        raw = raw.strip(\"`\")\n        raw = raw.split(\"\\n\", 1)[-1] if \"\\n\" in raw else raw\n    start = raw.find(\"{\")\n    end = raw.rfind(\"}\")\n    if start >= 0 and end > start:\n        raw = raw[start : end + 1]\n    return json.loads(raw)\n\n\ndef session_meta(job: dict[str, Any]) -> dict[str, Any]:\n    payload = job.get(\"payload\")\n    if isinstance(payload, dict):\n        return payload\n    return job\n\n\ndef build_prompt(job: dict[str, Any]) -> str:\n    meta = session_meta(job)\n    return f\"\"\"You are deciding whether a Pi session has durable value.\n\nRules:\n- Prefer NOT saving anything unless it is durable and reusable.\n- Session metadata alone is not enough.\n- Do NOT save operational notes about this session-memory system, dispatch flow, or local implementation work unless they affect broader workflows beyond this repo.\n- Save only if the session contains a stable user preference, enduring project fact, reusable external artifact, decision, procedure, or blocker that will matter in future unrelated sessions.\n- If nothing durable exists, return save=false.\n- If the memory is likely durable, assign the best type and include evidence.\n- Output JSON only. No markdown. No extra text.\n\nReturn this schema:\n{{\n  \"save\": boolean,\n  \"type\": \"profile\" | \"decision\" | \"project\" | \"artifact\" | \"episode\" | \"procedural\" | \"semantic\",\n  \"subtype\": string | null,\n  \"scope\": \"global\" | \"project\",\n  \"title\": string,\n  \"content\": string,\n  \"source_ref\": string,\n  \"evidence_ref\": string | null,\n  \"confidence\": number,\n  \"freshness\": number,\n  \"importance\": number,\n  \"reason\": string\n}}\n\nScoring guidance:\n- confidence: 0 to 1, how well supported the memory is.\n- freshness: 0 to 1, how current it is.\n- importance: 0 to 1, how much future value it has.\n- evidence_ref: cite the strongest source in the session or branch excerpt when possible.\n\nSession metadata:\n- session_id: {meta.get('session_id')}\n- session_file: {meta.get('session_file')}\n- cwd: {meta.get('cwd')}\n- scope: {meta.get('scope')}\n- reason: {meta.get('reason')}\n- user_messages: {meta.get('user_messages')}\n- assistant_messages: {meta.get('assistant_messages')}\n- last_user_text: {str(meta.get('last_user_text') or '')[:2000]}\n- last_assistant_text: {str(meta.get('last_assistant_text') or '')[:2000]}\n- trigger: {meta.get('trigger')}\n\nBranch excerpt JSON:\n{json.dumps(meta.get('branch') or [], ensure_ascii=False)[:30000]}\n\"\"\"\n\n\ndef main() -> int:\n    parser = argparse.ArgumentParser()\n    parser.add_argument(\"--job-file\", required=True)\n    args = parser.parse_args()\n\n    job_file = Path(args.job_file)\n    job = load_job(job_file)\n    meta = session_meta(job)\n    job.setdefault(\"analysis\", {})\n    job[\"analysis\"][\"status\"] = \"running\"\n    save_job(job_file, job)\n\n    try:\n        raw = call_pi(build_prompt(job))\n        analysis = extract_json(raw)\n        job[\"analysis\"][\"raw\"] = raw\n        job[\"analysis\"][\"result\"] = analysis\n        job[\"analysis\"][\"status\"] = \"completed\"\n\n        if bool(analysis.get(\"save\")):\n            memory_type = analysis.get(\"type\") or \"episode\"\n            is_candidate = memory_type == \"episode\" or bool(float(analysis.get(\"importance\") or 0.5) < 0.75)\n            memory = {\n                \"type\": memory_type,\n                \"subtype\": analysis.get(\"subtype\"),\n                \"scope\": analysis.get(\"scope\") or meta.get(\"scope\") or \"global\",\n                \"status\": \"inbox\" if is_candidate else \"active\",\n                \"source_kind\": \"manual\",\n                \"title\": analysis.get(\"title\") or \"Session insight\",\n                \"content\": analysis.get(\"content\") or \"\",\n                \"confidence\": float(analysis.get(\"confidence\") or 0.75),\n                \"freshness\": float(analysis.get(\"freshness\") or 0.9),\n                \"importance\": float(analysis.get(\"importance\") or 0.5),\n                \"source_ref\": analysis.get(\"source_ref\") or f\"pi-session:{meta.get('session_file') or meta.get('session_id') or 'unknown'}\",\n                \"evidence_ref\": analysis.get(\"evidence_ref\"),\n                \"origin_agent\": \"pi-session-memory-analyzer\",\n                \"metadata\": {\n                    \"job_file\": str(job_file),\n                    \"session_id\": meta.get(\"session_id\"),\n                    \"session_file\": meta.get(\"session_file\"),\n                    \"cwd\": meta.get(\"cwd\"),\n                    \"reason\": meta.get(\"reason\"),\n                    \"user_messages\": meta.get(\"user_messages\"),\n                    \"assistant_messages\": meta.get(\"assistant_messages\"),\n                    \"analysis_reason\": analysis.get(\"reason\"),\n                    \"trigger\": meta.get(\"trigger\"),\n                    \"promotion_candidate\": not is_candidate,\n                },\n            }\n            saved = ingest(memory)\n            job[\"analysis\"][\"memory_id\"] = saved.get(\"id\")\n            job[\"analysis\"][\"saved\"] = True\n        else:\n            job[\"analysis\"][\"saved\"] = False\n            job[\"analysis\"][\"memory_id\"] = None\n\n        save_job(job_file, job)\n        print(json.dumps(job[\"analysis\"], ensure_ascii=False))\n        return 0\n    except Exception as exc:\n        job[\"analysis\"][\"status\"] = \"failed\"\n        job[\"analysis\"][\"error\"] = str(exc)\n        save_job(job_file, job)\n        print(json.dumps(job[\"analysis\"], ensure_ascii=False), file=sys.stderr)\n        return 1\n\n\nif __name__ == \"__main__\":\n    raise SystemExit(main())\n"}],"isError":false,"timestamp":1777992496866}}
{"type":"message","id":"16fa28a2","parentId":"d54f269a","timestamp":"2026-05-05T14:48:16.874Z","message":{"role":"toolResult","toolCallId":"call_gFgQjCk98aT1GNqE4b2xR5Pm|fc_0d852cbc8d6115830169fa03309700819487a63a53730c3b84","toolName":"read","content":[{"type":"text","text":"# Agents Database memory contract\n\nThis repo uses `agents-database` as the canonical memory store.\n\n## Canonical behavior\n\n- `MemoryService` / `MemoryEngine` own the memory pipeline.\n- `ingest()` writes memory records.\n- `capture_session()` and `capture_conversation()` create raw source material.\n- `process_pending()` extracts episode memories from pending ingestion events.\n- `consolidate_candidates(config)` performs dedup, conflict detection, promotion, and optional synthesis.\n- `maintenance_jobs` and `maintenance_runs` schedule and audit periodic consolidation.\n- `episode` and `inbox` records are candidates, not truth, until consolidated or explicitly promoted.\n- `memory_conflicts` and `memory_links` are the right place for contradiction and relation semantics.\n\n## Pi-side rule\n\n`pi-config` may:\n\n- capture session context\n- queue analyzer jobs\n- ask for promotion candidates\n- emit inspection reports\n\n`pi-config` should not:\n\n- reimplement the canonical consolidation pipeline\n- invent a parallel truth store\n- silently promote memories outside the shared DB contracts\n"}],"isError":false,"timestamp":1777992496866}}
{"type":"message","id":"b9f034ac","parentId":"16fa28a2","timestamp":"2026-05-05T14:48:23.761Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_0d852cbc8d6115830169fa0333cf108194bb91592ee0cedf7c\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-gM3d6qJfL0SyPjugu33qqEHGNpR_IlkZGJR3JWark23K6SUExwJGKvnIRGmRMuqq_l6mI9Y1mYv8Z4Pd4eUc4lZHfXFe25y0iE7sPsMpsaRMwXRIdGx9CGCrIyp6k8KVvKOzDhhnsbcj_fiyYmdlYlduvBhtalGYOXDWgD0l3al9MxOlDbeHqm17sP9ObHdqEG8F0b0B_pG-WiUo14SaLKdByt5Td5ysKNTVRxTWmpmIzWS5RzEzrSk25mLsRFRDurIec-TbZayQu7EJ8L3Gq05PAOdM3qYUe5u2nT4Uilx-FiiBA_iDB1dIlg1pJhG05DrZPjYjdimCY_ANMJY5uAvE7P2rOWwatfoY5Pb_IePqyioaJh8RXlWw1ecRilD0LwJ4P2KJyQS2RqCQ7ZZhJsMlqpcHrtJxaME_0JfBgYPsGaByX1BTj5bgCQYCYHUx0NkEpKszxdSBeVBoEF0U6MaDqsbSwoeuYT4EzM4uHeu6c5siM0nE6mozLM4dWUar1mlyE3MzAMKa_vdI22uDR6gk_DVvH2GKnqAudeq_8W-VEq3XR1a6RS3SqMDMjD2wq5iC88tJFe9IHUXlKzkcZ9PyOwoDNQq2cMovPt9HTSyVIwBh2QNJ1kwv0n6qKHYMndPxVDLtBSsuJms_pQXBVwvPNoqk6Dp0QYeg_feGxK9TxZ8sP2yOh8Vg-CDr6ruWTL9gy0caQ3t1RWw4m5QRonm_Sw8c-y-kjDIc0zod-E_iJrWyahhgUpNvwXbGaTSlWGRpVR6RSZ9QATmNlywg6xlru9SaHptkSGJios4dLyNz-NLBppa6LOu4z7LTuGis4U_-mT8FuZsGFwbyd_jt9PLIoJHdvhGdinfq8Bl2iCFViSk5VuyI4FKrlVubkA_rj4tm5WYpXkR1pa-7fvfvXlsbCwGye8Qt_ijMN0Ax1bv0pdZ7__EIVDoYbHEjCzWKgBG\",\"summary\":[]}"},{"type":"toolCall","id":"call_c2jPLDkwJp5G4hxvP9vQW2be|fc_0d852cbc8d6115830169fa03378dfc8194a1d7b49205829ae8","name":"bash","arguments":{"command":"cd /mnt/rpi/pi-config && rg -n \"17882|session-memory|dispatcher|before_shutdown|shutdown-hook|session close hook|branch excerpt|session_file|last_user_text|last_assistant_text|pi-session-memory-analyzer\" -S .","timeout":20}},{"type":"toolCall","id":"call_sv3Tq8GSRUPOUuzrxHHe3FVo|fc_0d852cbc8d6115830169fa03378e0c8194a6ef464472ae0cbd","name":"bash","arguments":{"command":"ps -ef | grep -E '[s]ession-memory|17882|dispatcher'\nss -ltnp | grep 17882 || true\nsystemctl --user --no-pager --full status session-memory-dispatcher 2>/dev/null || true\njournalctl --user -u session-memory-dispatcher -n 80 --no-pager 2>/dev/null || true","timeout":20}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":3101,"output":202,"cacheRead":70144,"cacheWrite":0,"totalTokens":73447,"cost":{"input":0.007752500000000001,"output":0.00303,"cacheRead":0.017536,"cacheWrite":0,"total":0.0283185}},"stopReason":"toolUse","timestamp":1777992496868,"responseId":"resp_0d852cbc8d6115830169fa033165008194b8581f32ec477d3c"}}
{"type":"message","id":"42922a8f","parentId":"b9f034ac","timestamp":"2026-05-05T14:48:23.826Z","message":{"role":"toolResult","toolCallId":"call_c2jPLDkwJp5G4hxvP9vQW2be|fc_0d852cbc8d6115830169fa03378dfc8194a1d7b49205829ae8","toolName":"bash","content":[{"type":"text","text":"./extensions/session-memory-dispatcher.ts:4:const DISPATCH_URL = process.env.PI_SESSION_MEMORY_DISPATCH_URL || \"http://127.0.0.1:17882/api/session-memory\";\n./extensions/session-memory-dispatcher.ts:66:\t\tsession_file: ctx.sessionManager.getSessionFile?.() || null,\n./extensions/session-memory-dispatcher.ts:72:\t\tlast_user_text: truncate(stats.lastUserText, 2000),\n./extensions/session-memory-dispatcher.ts:73:\t\tlast_assistant_text: truncate(stats.lastAssistantText, 2000),\n./extensions/session-memory-dispatcher.ts:89:\t\tthrow new Error(`session memory dispatcher failed: ${response.status} ${response.statusText}`);\n./extensions/session-memory-dispatcher.ts:125:\t\t\t\ttrigger: \"session-memory-dispatcher\",\n./extensions/session-memory-dispatcher.ts:154:\tpi.on(\"session_before_shutdown\", async (event, ctx) => {\n./extensions/session-memory-dispatcher.ts:155:\t\tconst result = await runPrompt(ctx, `before_shutdown:${event.reason}`, { allowCancel: true, title: \"Analyze this session for memory?\", timeoutMs: 12000 });\n./scripts/session-memory-analyzer.py:83:- Do NOT save operational notes about this session-memory system, dispatch flow, or local implementation work unless they affect broader workflows beyond this repo.\n./scripts/session-memory-analyzer.py:109:- evidence_ref: cite the strongest source in the session or branch excerpt when possible.\n./scripts/session-memory-analyzer.py:113:- session_file: {meta.get('session_file')}\n./scripts/session-memory-analyzer.py:119:- last_user_text: {str(meta.get('last_user_text') or '')[:2000]}\n./scripts/session-memory-analyzer.py:120:- last_assistant_text: {str(meta.get('last_assistant_text') or '')[:2000]}\n./scripts/session-memory-analyzer.py:123:Branch excerpt JSON:\n./scripts/session-memory-analyzer.py:161:                \"source_ref\": analysis.get(\"source_ref\") or f\"pi-session:{meta.get('session_file') or meta.get('session_id') or 'unknown'}\",\n./scripts/session-memory-analyzer.py:163:                \"origin_agent\": \"pi-session-memory-analyzer\",\n./scripts/session-memory-analyzer.py:167:                    \"session_file\": meta.get(\"session_file\"),\n./scripts/session-memory-dispatcher.py:13:JOB_DIR = Path(os.environ.get(\"PI_SESSION_MEMORY_JOB_DIR\", BASE_DIR / \"sessions\" / \"session-memory-jobs\"))\n./scripts/session-memory-dispatcher.py:14:ANALYZER = Path(os.environ.get(\"PI_SESSION_MEMORY_ANALYZER\", BASE_DIR / \"scripts\" / \"session-memory-analyzer.py\"))\n./scripts/session-memory-dispatcher.py:49:        if self.path != \"/api/session-memory\":\n./scripts/session-memory-dispatcher.py:85:    parser.add_argument(\"--port\", type=int, default=17882)\n./scripts/session-memory-dispatcher.py:89:    print(f\"session-memory-dispatcher listening on http://{args.host}:{args.port}/api/session-memory\", flush=True)\n./scripts/apply-pi-shutdown-hook-patch.py:48:                \"\"\"/** Fired before forking a session (can be cancelled) */\\nexport interface SessionBeforeForkEvent {\\n    type: \\\"session_before_fork\\\";\\n    entryId: string;\\n}\\n/** Fired before graceful shutdown paths such as Ctrl+C, Ctrl+D, /quit, or extension-triggered exit (can be cancelled). */\\nexport interface SessionBeforeShutdownEvent {\\n    type: \\\"session_before_shutdown\\\";\\n    reason: \\\"ctrl_c\\\" | \\\"ctrl_d\\\" | \\\"command\\\" | \\\"extension\\\" | \\\"signal\\\" | \\\"rpc_eof\\\" | \\\"rpc_shutdown\\\" | \\\"unknown\\\";\\n    signal?: \\\"SIGHUP\\\" | \\\"SIGTERM\\\";\\n}\\n/** Fired before context compaction (can be cancelled or customized) */\\nexport interface SessionBeforeCompactEvent {\\n\"\"\",\n./scripts/apply-pi-shutdown-hook-patch.py:60:                \"\"\"    on(event: \\\"session_before_switch\\\", handler: ExtensionHandler<SessionBeforeSwitchEvent, SessionBeforeSwitchResult>): void;\\n    on(event: \\\"session_before_fork\\\", handler: ExtensionHandler<SessionBeforeForkEvent, SessionBeforeForkResult>): void;\\n    on(event: \\\"session_before_shutdown\\\", handler: ExtensionHandler<SessionBeforeShutdownEvent, SessionBeforeShutdownResult>): void;\\n    on(event: \\\"session_before_compact\\\", handler: ExtensionHandler<SessionBeforeCompactEvent, SessionBeforeCompactResult>): void;\\n\"\"\",\n./scripts/apply-pi-shutdown-hook-patch.py:76:                \"\"\"} ? SessionBeforeSwitchResult | undefined : TEvent extends {\\n    type: \\\"session_before_fork\\\";\\n} ? SessionBeforeForkResult | undefined : TEvent extends {\\n    type: \\\"session_before_shutdown\\\";\\n} ? SessionBeforeShutdownResult | undefined : TEvent extends {\\n    type: \\\"session_before_compact\\\";\\n} ? SessionBeforeCompactResult | undefined : TEvent extends {\\n\"\"\",\n./scripts/apply-pi-shutdown-hook-patch.py:82:                \"\"\"    isSessionBeforeEvent(event) {\\n        return (event.type === \\\"session_before_switch\\\" ||\\n            event.type === \\\"session_before_fork\\\" ||\\n            event.type === \\\"session_before_shutdown\\\" ||\\n            event.type === \\\"session_before_compact\\\" ||\\n            event.type === \\\"session_before_tree\\\");\\n    }\\n\"\"\",\n./scripts/apply-pi-shutdown-hook-patch.py:104:                \"\"\"    async emitBeforeShutdown(reason = \\\"unknown\\\", signal) {\\n        const runner = this.runtimeHost.session.extensionRunner;\\n        if (!runner?.hasHandlers(\\\"session_before_shutdown\\\")) {\\n            return { cancelled: false };\\n        }\\n        const result = await runner.emit({\\n            type: \\\"session_before_shutdown\\\",\\n            reason,\\n            signal,\\n        });\\n        return { cancelled: result?.cancel === true };\\n    }\\n    /**\\n     * Gracefully shutdown the agent.\\n     * Emits shutdown event to extensions, then exits.\\n     */\\n    isShuttingDown = false;\\n    async shutdown(reason = \\\"unknown\\\", signal) {\\n        if (this.isShuttingDown)\\n            return;\\n        this.isShuttingDown = true;\\n        const beforeResult = await this.emitBeforeShutdown(reason, signal);\\n        if (beforeResult.cancelled) {\\n            this.isShuttingDown = false;\\n            this.shutdownRequested = false;\\n            this.shutdownRequestReason = \\\"extension\\\";\\n            this.shutdownRequestSignal = undefined;\\n            return;\\n        }\\n        this.unregisterSignalHandlers();\\n        await this.runtimeHost.dispose();\\n\"\"\",\n./scripts/apply-pi-shutdown-hook-patch.py:138:                \"\"\"    let detachInput = () => { };\\n    async function emitBeforeShutdown(reason = \\\"rpc_shutdown\\\", signal) {\\n        const runner = runtimeHost.session.extensionRunner;\\n        if (!runner?.hasHandlers(\\\"session_before_shutdown\\\")) {\\n            return { cancelled: false };\\n        }\\n        const result = await runner.emit({\\n            type: \\\"session_before_shutdown\\\",\\n            reason,\\n            signal,\\n        });\\n        return { cancelled: result?.cancel === true };\\n    }\\n    async function shutdown(exitCode = 0, reason = \\\"rpc_shutdown\\\", signal) {\\n        if (shuttingDown) {\\n            process.exit(exitCode);\\n        }\\n        shuttingDown = true;\\n        const beforeResult = await emitBeforeShutdown(reason, signal);\\n        if (beforeResult.cancelled) {\\n            shuttingDown = false;\\n            shutdownRequested = false;\\n            shutdownRequestReason = \\\"extension\\\";\\n            shutdownRequestSignal = undefined;\\n            return;\\n        }\\n        for (const cleanup of signalCleanupHandlers) {\\n            cleanup();\\n        }\\n        unsubscribe?.();\\n        await runtimeHost.dispose();\\n        detachInput();\\n        process.stdin.pause();\\n        process.exit(exitCode);\\n    }\\n    async function checkShutdownRequested() {\\n        if (!shutdownRequested)\\n            return;\\n        await shutdown(0, shutdownRequestReason, shutdownRequestSignal);\\n    }\\n\"\"\",\n./scripts/install-session-memory-dispatcher.service:2:Description=Pi session memory dispatcher\n./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\n./README.md:11:- `extensions/session-memory-prompt.ts`\n./README.md:12:- `scripts/apply-pi-shutdown-hook-patch.py`\n./README.md:13:- `scripts/session-memory-analyzer.py`\n./README.md:14:- `scripts/session-memory-dispatcher.py`\n./README.md:15:- `scripts/install-session-memory-dispatcher.service`\n./README.md:28:- Session close hook now prompts once before switch/fork/exit to encourage saving durable memory into agents-database.\n./README.md:29:- Session memory now uses an external local dispatcher on `127.0.0.1:17882`; the hook only captures session identity/context, the dispatcher enqueues metadata, and a background analyzer decides whether anything durable is worth saving.\n./README.md:32:- Use `./scripts/install-session-memory-dispatcher.service` to keep the dispatcher alive under systemd user service if desired.\n./README.md:33:- The old `session_before_shutdown` runtime patch remains as fallback only if you choose to keep it enabled.\n./README.md:34:- Reapply the runtime patch after Pi upgrades only if you still use that fallback: `./scripts/apply-pi-shutdown-hook-patch.py`\n"}],"isError":false,"timestamp":1777992503825}}
{"type":"message","id":"36f1c21b","parentId":"42922a8f","timestamp":"2026-05-05T14:48:23.827Z","message":{"role":"toolResult","toolCallId":"call_sv3Tq8GSRUPOUuzrxHHe3FVo|fc_0d852cbc8d6115830169fa03378e0c8194a6ef464472ae0cbd","toolName":"bash","content":[{"type":"text","text":"sebas       1378    1289  0 10:07 ?        00:00:00 python3 /mnt/rpi/pi-config/scripts/session-memory-dispatcher.py --host 127.0.0.1 --port 17882\nsebas      32410   10916 99 11:48 ?        00:00:00 rg -n 17882|session-memory|dispatcher|before_shutdown|shutdown-hook|session close hook|branch excerpt|session_file|last_user_text|last_assistant_text|pi-session-memory-analyzer -S .\nsebas      32411   10916  0 11:48 ?        00:00:00 /bin/bash -c ps -ef | grep -E '[s]ession-memory|17882|dispatcher' ss -ltnp | grep 17882 || true systemctl --user --no-pager --full status session-memory-dispatcher 2>/dev/null || true journalctl --user -u session-memory-dispatcher -n 80 --no-pager 2>/dev/null || true\nsebas      32413   32411  0 11:48 ?        00:00:00 grep -E [s]ession-memory|17882|dispatcher\nLISTEN 0      5                        127.0.0.1:17882      0.0.0.0:*    users:((\"python3\",pid=1378,fd=3))   \n-- No entries --\n"}],"isError":false,"timestamp":1777992503825}}
{"type":"message","id":"4f8c2518","parentId":"36f1c21b","timestamp":"2026-05-05T14:48:32.210Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Inspecting extensions and logs**\n\nI need to take a closer look at the extension and possibly examine the dispatcher. Maybe checking the logs or the job directory could give me more insights into what's going on. It's important to make sure everything is functioning properly. There might be specific details in the logs that could help pinpoint any issues. I'll proceed with this inspection to ensure everything is in order and running smoothly.","thinkingSignature":"{\"id\":\"rs_0d852cbc8d6115830169fa033bcda48194a3605429106738d1\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-gM_qY6cTc0BgLsacSzsm-xVuNQAPf1icVJxcO6-46HkDkW4UTMbpB3plcRFLVBCM4FNt07DjxXV9CcKogkZa5ZoO3oXx7QxaZ9DY9ifuXsYqna8diuTcA6wBDWphdwUQ7sN9xheaEo7jhPLnZDrK_pO8_KhVLMK8OO6JouskaBM9BLeDnC5oHDcqFx1_gYZmaqCUDVfps8_YoVTgnlpB5gpaThWnvUKVFwqlO5XhYH3rVG7-DYaNsvGCKPUuvDpwwbB6MOMi8AFoEVA3UsX4r0P1sMVk4huTIZaIY7yzUKvNP7IyXst5HpUWiVs5HfWA86TbU-zcLM4j9OCPzgUknE41k6fZZbmME_b12bJkQq3UHqBr6i1wREXoMEsec55dh_Xb-Gk1x_fhZUVZQeh7b5j6SfNii20W4do3G4qceZlU2-TeUypCHWUOg3N8j5cbU4vYsXFc5TgFUjbNnWZ8q9sKY7SrvA2Rjik33Hcj7HDKHfqCsrkT-zE6C8kncknZPDI5OMnBshdnzZ2r4LUBv6K0wHd2n199GwMahR_jBEWhSuczs05XyVCcTcU7PFn7wBs2qdfJEO1JTxR9NgybF0D6ll9OPm6Sp864W2bQEAWNi1FCWnza0bysKys6VX2QcOw_IXz-07Ef3NaAXAiNtNO4ph13zUPlWBzTsUKW7Tdq1-hB4vXODwdpEUXfAf0nYrWSCwfYcZh1cbyl-tcyQ-rdCBm-WmwRLczFy2ERv1pFepbmV7fXYIITt-OEGKhgeKc9G-iuhpvJbtYV6pmqvo7F4xLOhIXrAKslxfbNSacxMG2ubgkBrP0QZscda9znOiqiMWxavAaSvoW2hVGrB57HDyLNn_QCpylhiUTAIrvoltCbnQL-_zidAeYfQBKFtcAOuqmnwdUtedMHw3QojUwb6Im-RPtwzJTyEj8iMeJkMfwnpP6mHP8UUyXWU89rUITgd1S8Qn-WXBqWPhzsyj_AN2JUUnaXaaNOxZBHH86POg=\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Inspecting extensions and logs**\\n\\nI need to take a closer look at the extension and possibly examine the dispatcher. Maybe checking the logs or the job directory could give me more insights into what's going on. It's important to make sure everything is functioning properly. There might be specific details in the logs that could help pinpoint any issues. I'll proceed with this inspection to ensure everything is in order and running smoothly.\"}]}"},{"type":"toolCall","id":"call_djbS7t4jZz7Fc2HQ0aTtm8HX|fc_0d852cbc8d6115830169fa033fe544819493b7ffde4c1ef107","name":"read","arguments":{"path":"/mnt/rpi/pi-config/extensions/session-memory-dispatcher.ts","offset":1,"limit":240}},{"type":"toolCall","id":"call_73bRA3olIN0NNgaSkcc4yIGm|fc_0d852cbc8d6115830169fa033fe55c8194a5fa9db9a70718f6","name":"read","arguments":{"path":"/mnt/rpi/pi-config/scripts/session-memory-dispatcher.py","offset":1,"limit":260}},{"type":"toolCall","id":"call_DawlZYqdef923nykJmurL5ev|fc_0d852cbc8d6115830169fa033fe5688194b672532670e1a374","name":"bash","arguments":{"command":"python3 - <<'PY'\nfrom pathlib import Path\nbase=Path('/mnt/rpi/pi-config/sessions/session-memory-jobs')\nprint('exists', base.exists())\nif base.exists():\n    files=sorted(base.glob('**/*'), key=lambda p: p.stat().st_mtime, reverse=True)\n    for p in files[:30]:\n        if p.is_file():\n            print(p, p.stat().st_mtime)\nPY","timeout":15}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":3205,"output":221,"cacheRead":72704,"cacheWrite":0,"totalTokens":76130,"cost":{"input":0.0080125,"output":0.0033150000000000002,"cacheRead":0.018175999999999998,"cacheWrite":0,"total":0.0295035}},"stopReason":"toolUse","timestamp":1777992503827,"responseId":"resp_0d852cbc8d6115830169fa0338c26c81948b26a2afd34ee709"}}
{"type":"message","id":"c2ff78f8","parentId":"4f8c2518","timestamp":"2026-05-05T14:48:32.297Z","message":{"role":"toolResult","toolCallId":"call_djbS7t4jZz7Fc2HQ0aTtm8HX|fc_0d852cbc8d6115830169fa033fe544819493b7ffde4c1ef107","toolName":"read","content":[{"type":"text","text":"import path from \"node:path\";\nimport type { ExtensionAPI } from \"@mariozechner/pi-coding-agent\";\n\nconst DISPATCH_URL = process.env.PI_SESSION_MEMORY_DISPATCH_URL || \"http://127.0.0.1:17882/api/session-memory\";\nconst PROMPT_SAVE = \"Yes\";\nconst PROMPT_SKIP = \"No\";\nconst PROMPT_CANCEL = \"Cancel\";\n\nfunction textFromMessage(message: any): string {\n\tif (!message || !Array.isArray(message.content)) return \"\";\n\treturn message.content\n\t\t.filter((part: any) => part?.type === \"text\" && typeof part.text === \"string\")\n\t\t.map((part: any) => part.text)\n\t\t.join(\"\\n\")\n\t\t.trim();\n}\n\nfunction truncate(text: string | undefined, max = 220): string {\n\tconst value = (text || \"\").replace(/\\s+/g, \" \").trim();\n\tif (!value) return \"\";\n\treturn value.length > max ? value.slice(0, max - 1) + \"…\" : value;\n}\n\nfunction inferScope(cwd: string): \"global\" | \"project\" {\n\tconst home = path.resolve(process.env.HOME || \"/home/sebas\");\n\tconst resolved = path.resolve(cwd);\n\tif (resolved === home) return \"global\";\n\tif (resolved.startsWith(path.join(home, \".pi\"))) return \"global\";\n\treturn \"project\";\n}\n\nfunction getSessionStats(ctx: any) {\n\tconst branch = ctx.sessionManager.getBranch();\n\tlet userCount = 0;\n\tlet assistantCount = 0;\n\tlet lastUserText = \"\";\n\tlet lastAssistantText = \"\";\n\n\tfor (const entry of branch) {\n\t\tif (entry?.type !== \"message\") continue;\n\t\tconst message = entry.message;\n\t\tif (!message || typeof message !== \"object\" || !(\"role\" in message)) continue;\n\t\tif (message.role === \"user\") {\n\t\t\tuserCount += 1;\n\t\t\tlastUserText = textFromMessage(message) || lastUserText;\n\t\t}\n\t\tif (message.role === \"assistant\") {\n\t\t\tassistantCount += 1;\n\t\t\tlastAssistantText = textFromMessage(message) || lastAssistantText;\n\t\t}\n\t}\n\n\treturn {\n\t\tbranch,\n\t\tuserCount,\n\t\tassistantCount,\n\t\tlastUserText,\n\t\tlastAssistantText,\n\t\tshouldPrompt: userCount > 0 && assistantCount > 0,\n\t};\n}\n\nfunction buildHookPayload(ctx: any, stats: ReturnType<typeof getSessionStats>, reason: string) {\n\treturn {\n\t\tsession_id: ctx.sessionManager.getLeafId?.() || null,\n\t\tsession_file: ctx.sessionManager.getSessionFile?.() || null,\n\t\treason,\n\t\tcwd: ctx.cwd,\n\t\tscope: inferScope(ctx.cwd),\n\t\tuser_messages: stats.userCount,\n\t\tassistant_messages: stats.assistantCount,\n\t\tlast_user_text: truncate(stats.lastUserText, 2000),\n\t\tlast_assistant_text: truncate(stats.lastAssistantText, 2000),\n\t\tbranch: stats.branch,\n\t\tmemory_hints: {\n\t\t\tobserved_messages: stats.userCount + stats.assistantCount,\n\t\t\thas_latest_dialogue: Boolean(stats.lastUserText || stats.lastAssistantText),\n\t\t},\n\t};\n}\n\nasync function dispatchMemory(payload: any) {\n\tconst response = await fetch(DISPATCH_URL, {\n\t\tmethod: \"POST\",\n\t\theaders: { \"Content-Type\": \"application/json\" },\n\t\tbody: JSON.stringify(payload),\n\t});\n\tif (!response.ok) {\n\t\tthrow new Error(`session memory dispatcher failed: ${response.status} ${response.statusText}`);\n\t}\n\treturn response.json();\n}\n\nexport default function (pi: ExtensionAPI) {\n\tlet promptHandledForCurrentSession = false;\n\n\tasync function runPrompt(ctx: any, reason: string, options?: { allowCancel?: boolean; title?: string; timeoutMs?: number }) {\n\t\tif (promptHandledForCurrentSession) return { cancel: false, skipped: true };\n\t\tif (!ctx.hasUI) return { cancel: false, skipped: true };\n\n\t\tconst stats = getSessionStats(ctx);\n\t\tif (!stats.shouldPrompt) return { cancel: false, skipped: true };\n\n\t\tconst allowCancel = options?.allowCancel ?? false;\n\t\tconst timeoutMs = options?.timeoutMs;\n\t\tconst title = options?.title || \"Before closing this session\";\n\t\tconst choices = allowCancel ? [PROMPT_SAVE, PROMPT_SKIP, PROMPT_CANCEL] : [PROMPT_SAVE, PROMPT_SKIP];\n\t\tconst dialogOptions = timeoutMs ? { timeout: timeoutMs } : undefined;\n\t\tconst choice = await ctx.ui.select(title, choices, dialogOptions);\n\n\t\tif (choice === PROMPT_CANCEL || (allowCancel && choice === undefined)) {\n\t\t\tpromptHandledForCurrentSession = false;\n\t\t\treturn { cancel: true, skipped: false };\n\t\t}\n\n\t\tif (choice !== PROMPT_SAVE) {\n\t\t\tpromptHandledForCurrentSession = true;\n\t\t\treturn { cancel: false, skipped: true };\n\t\t}\n\n\t\tconst payload = buildHookPayload(ctx, stats, reason);\n\t\ttry {\n\t\t\tconst result = await dispatchMemory({\n\t\t\t\t...payload,\n\t\t\t\ttrigger: \"session-memory-dispatcher\",\n\t\t\t});\n\t\t\tpromptHandledForCurrentSession = true;\n\t\t\tctx.ui.notify(`Session analysis queued${result?.job_file ? `: ${result.job_file}` : \"\"}`, \"info\");\n\t\t\treturn { cancel: false, skipped: false, queued: true, jobFile: result?.job_file || null };\n\t\t} catch (error) {\n\t\t\tpromptHandledForCurrentSession = false;\n\t\t\tconst message = error instanceof Error ? error.message : String(error);\n\t\t\tctx.ui.notify(message, \"error\");\n\t\t\tif (!allowCancel) return { cancel: false, skipped: true, error: message };\n\t\t\tconst ok = await ctx.ui.confirm(\"Session analysis failed\", \"Continue closing this session without queueing?\", dialogOptions);\n\t\t\tif (!ok) return { cancel: true, skipped: false, error: message };\n\t\t\tpromptHandledForCurrentSession = true;\n\t\t\treturn { cancel: false, skipped: true, error: message };\n\t\t}\n\t}\n\n\tpi.on(\"session_before_switch\", async (event, ctx) => {\n\t\tconst result = await runPrompt(ctx, `before_switch:${event.reason}`, { allowCancel: true, title: \"Analyze this session for memory?\" });\n\t\tif (result.cancel) return { cancel: true };\n\t\treturn undefined;\n\t});\n\n\tpi.on(\"session_before_fork\", async (_event, ctx) => {\n\t\tconst result = await runPrompt(ctx, \"before_fork\", { allowCancel: true, title: \"Analyze this session for memory?\" });\n\t\tif (result.cancel) return { cancel: true };\n\t\treturn undefined;\n\t});\n\n\tpi.on(\"session_before_shutdown\", async (event, ctx) => {\n\t\tconst result = await runPrompt(ctx, `before_shutdown:${event.reason}`, { allowCancel: true, title: \"Analyze this session for memory?\", timeoutMs: 12000 });\n\t\tif (result.cancel) return { cancel: true };\n\t\treturn undefined;\n\t});\n\n\tpi.on(\"session_shutdown\", async (_event, ctx) => {\n\t\tawait runPrompt(ctx, \"shutdown_fallback\", { allowCancel: false, title: \"Analyze this session for memory?\", timeoutMs: 12000 });\n\t});\n\n\tpi.registerCommand(\"remember-session\", {\n\t\tdescription: \"Queue a session analysis from the current session\",\n\t\thandler: async (_args, ctx) => {\n\t\t\tpromptHandledForCurrentSession = false;\n\t\t\tawait runPrompt(ctx, \"manual_command\", { allowCancel: false, title: \"Analyze this session for memory?\" });\n\t\t},\n\t});\n}\n"}],"isError":false,"timestamp":1777992512296}}
{"type":"message","id":"90ae0ddf","parentId":"c2ff78f8","timestamp":"2026-05-05T14:48:32.298Z","message":{"role":"toolResult","toolCallId":"call_73bRA3olIN0NNgaSkcc4yIGm|fc_0d852cbc8d6115830169fa033fe55c8194a5fa9db9a70718f6","toolName":"read","content":[{"type":"text","text":"#!/usr/bin/env python3\nfrom __future__ import annotations\n\nimport argparse\nimport json\nimport os\nimport subprocess\nfrom datetime import datetime, timezone\nfrom http.server import BaseHTTPRequestHandler, ThreadingHTTPServer\nfrom pathlib import Path\n\nBASE_DIR = Path(__file__).resolve().parent.parent\nJOB_DIR = Path(os.environ.get(\"PI_SESSION_MEMORY_JOB_DIR\", BASE_DIR / \"sessions\" / \"session-memory-jobs\"))\nANALYZER = Path(os.environ.get(\"PI_SESSION_MEMORY_ANALYZER\", BASE_DIR / \"scripts\" / \"session-memory-analyzer.py\"))\n\n\ndef write_job(payload: dict[str, object]) -> Path:\n    JOB_DIR.mkdir(parents=True, exist_ok=True)\n    job_id = datetime.now(timezone.utc).strftime(\"%Y%m%dT%H%M%S%fZ\")\n    job_file = JOB_DIR / f\"{job_id}.json\"\n    job = {\n        \"job_id\": job_id,\n        \"queued_at\": datetime.now(timezone.utc).isoformat(),\n        \"status\": \"queued\",\n        \"job_type\": \"session_memory_analysis\",\n        \"payload\": payload,\n        \"analysis\": {\n            \"status\": \"queued\",\n            \"save\": None,\n            \"memory_id\": None,\n        },\n    }\n    job_file.write_text(json.dumps(job, indent=2, ensure_ascii=False) + \"\\n\", encoding=\"utf-8\")\n    return job_file\n\n\ndef launch_analyzer(job_file: Path) -> None:\n    subprocess.Popen(\n        [\"python3\", str(ANALYZER), \"--job-file\", str(job_file)],\n        stdout=subprocess.DEVNULL,\n        stderr=subprocess.DEVNULL,\n        start_new_session=True,\n        close_fds=True,\n    )\n\n\nclass Handler(BaseHTTPRequestHandler):\n    def do_POST(self):\n        if self.path != \"/api/session-memory\":\n            self.send_response(404)\n            self.end_headers()\n            return\n\n        length = int(self.headers.get(\"Content-Length\", \"0\") or \"0\")\n        raw = self.rfile.read(length)\n        try:\n            payload = json.loads(raw.decode(\"utf-8\"))\n        except Exception as exc:\n            self.send_response(400)\n            self.send_header(\"Content-Type\", \"application/json\")\n            self.end_headers()\n            self.wfile.write(json.dumps({\"error\": f\"invalid json: {exc}\"}).encode())\n            return\n\n        try:\n            job_file = write_job(payload)\n            launch_analyzer(job_file)\n            self.send_response(202)\n            self.send_header(\"Content-Type\", \"application/json\")\n            self.end_headers()\n            self.wfile.write(json.dumps({\"status\": \"queued\", \"job_file\": str(job_file)}).encode())\n        except Exception as exc:\n            self.send_response(502)\n            self.send_header(\"Content-Type\", \"application/json\")\n            self.end_headers()\n            self.wfile.write(json.dumps({\"error\": str(exc)}).encode())\n\n    def log_message(self, fmt, *args):\n        return\n\n\ndef main() -> int:\n    parser = argparse.ArgumentParser()\n    parser.add_argument(\"--host\", default=\"127.0.0.1\")\n    parser.add_argument(\"--port\", type=int, default=17882)\n    args = parser.parse_args()\n\n    server = ThreadingHTTPServer((args.host, args.port), Handler)\n    print(f\"session-memory-dispatcher listening on http://{args.host}:{args.port}/api/session-memory\", flush=True)\n    try:\n        server.serve_forever()\n    except KeyboardInterrupt:\n        return 0\n    return 0\n\n\nif __name__ == \"__main__\":\n    raise SystemExit(main())\n"}],"isError":false,"timestamp":1777992512297}}
{"type":"message","id":"f9f59157","parentId":"90ae0ddf","timestamp":"2026-05-05T14:48:32.305Z","message":{"role":"toolResult","toolCallId":"call_DawlZYqdef923nykJmurL5ev|fc_0d852cbc8d6115830169fa033fe5688194b672532670e1a374","toolName":"bash","content":[{"type":"text","text":"exists True\n/mnt/rpi/pi-config/sessions/session-memory-jobs/20260505T143201664755Z.json 1777991521.7944803\n/mnt/rpi/pi-config/sessions/session-memory-jobs/20260505T134438583726Z.json 1777988678.6973987\n/mnt/rpi/pi-config/sessions/session-memory-jobs/20260501T194747970340Z.json 1777664870.6168976\n/mnt/rpi/pi-config/sessions/session-memory-jobs/20260501T044724939741Z.json 1777610847.0987668\n/mnt/rpi/pi-config/sessions/session-memory-jobs/20260501T044435783880Z.json 1777610678.1176302\n/mnt/rpi/pi-config/sessions/session-memory-jobs/20260501T035247390123Z.json 1777607569.727583\n/mnt/rpi/pi-config/sessions/session-memory-jobs/20260501T033642290422Z.json 1777606605.0265558\n/mnt/rpi/pi-config/sessions/session-memory-jobs/20260423T191132397823Z.json 1776971497.2306113\n/mnt/rpi/pi-config/sessions/session-memory-jobs/20260423T133840452732Z.json 1776951524.2486367\n/mnt/rpi/pi-config/sessions/session-memory-jobs/20260422T164407751383Z.json 1776876251.8172593\n/mnt/rpi/pi-config/sessions/session-memory-jobs/consolidation-20260422T164146241829Z.json 1776876106.2365904\n/mnt/rpi/pi-config/sessions/session-memory-jobs/20260422T152622743888Z.json 1776871596.8283596\n/mnt/rpi/pi-config/sessions/session-memory-jobs/20260422T143827064890Z.json 1776868712.5981774\n/mnt/rpi/pi-config/sessions/session-memory-jobs/20260422T143146583261Z.json 1776868309.9604785\n/mnt/rpi/pi-config/sessions/session-memory-jobs/20260422T142938948545Z.json 1776868186.0719972\n/mnt/rpi/pi-config/sessions/session-memory-jobs/consolidation-20260422T142832064769Z.json 1776868112.0596604\n/mnt/rpi/pi-config/sessions/session-memory-jobs/consolidation-20260422T142817021443Z.json 1776868097.0155876\n/mnt/rpi/pi-config/sessions/session-memory-jobs/20260422T142754083834Z.json 1776868078.319497\n/mnt/rpi/pi-config/sessions/session-memory-jobs/20260422T135731023970Z.json 1776866254.711166\n/mnt/rpi/pi-config/sessions/session-memory-jobs/20260422T134209878594Z.json 1776865339.3705792\n/mnt/rpi/pi-config/sessions/session-memory-jobs/20260422T130951197595Z.json 1776863394.399127\n/mnt/rpi/pi-config/sessions/session-memory-jobs/20260422T130336093713Z.json 1776863022.181612\n/mnt/rpi/pi-config/sessions/session-memory-jobs/20260422T124200568464Z.json 1776861727.5325553\n/mnt/rpi/pi-config/sessions/session-memory-jobs/20260422T123506691388Z.json 1776861311.2067528\n/mnt/rpi/pi-config/sessions/session-memory-jobs/20260422T032957877477Z.json 1776828601.8737555\n/mnt/rpi/pi-config/sessions/session-memory-jobs/20260422T032853519684Z.json 1776828539.3614755\n/mnt/rpi/pi-config/sessions/session-memory-jobs/20260422T032521567405Z.json 1776828326.304507\n"}],"isError":false,"timestamp":1777992512297}}
{"type":"message","id":"a66446b4","parentId":"f9f59157","timestamp":"2026-05-05T14:48:42.353Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Inspecting job files**\n\nI realize that jobs exist, but it seems our test might be a queued job that hasn't been saved yet. I'm thinking I need to take a closer look at the latest job files to see what’s going on. There’s a mix of uncertainty about whether this is working as intended or if I need to take further action. I'll definitely check that out to clarify everything!","thinkingSignature":"{\"id\":\"rs_0d852cbc8d6115830169fa034454d48194bed166e5f1961347\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-gNKVpzyvU3e6KRI0y1sb_Eq0uL4s5ItmUbaxBweFAarS8ox-JMPUjIBTPW1eyuUwKoP5r_mWS2531V7CQYjvj45sw5hLQPtoGVgLlW95CgkgXCxgXA3O9iAIHePtWNh9tIk8mkfAKYNP8523KuPEixBc-G5fLyHxA8QiUeh6m2D8N2W4JGFyUakVqQEhQ0a5i69DvjK_0-S9lePpj0-enghUg_nQVzv4tUaJbNU9UnK_USbP-FmYgQXjLfi5tHRMjP2B39ijqJShYOU-5hWAP_6G4GZdFR04_0RXCX1OiFLT-2PWTMmnwAhvmeA0JyBtCNZski-BUj61V6aW6ACV1NRneKs4_8WVsrfjNeD1xFxqocqsQxhW8b7-ONgZPMpTGGF78X_I4Bir4h05JBgSdlOg4eDYKEIvU4vQksDlLKzVxudgYF5XLulFlJOsmU2ofQCQvXIgUDdFQlUrpezUlRx3crvEN8AfvdnhayG2eGs5wAqQicC2GUN5vj5yK0WqEPXPK7sIZVYKboHo-lazft3GbiIjtAW5M-Eh9hRYrS_KeR83_JIpce1IIq1_EIrOEaSoZqfMV7nPvqZqf8raxvhD-XXUl7SWNgiDwiFp-lC75At1xPxZc0oY3tMIj5p-c0Od1UTaMrgssovGmgq0zidy9mHYk2GfGo4zW7sFXLFbtc80E888Ttx5iV_4WlXePnx-ikNslbFWPyEGdPCusH4-HdduTiq15moTmjWSCXO5CBQM-n02Zm1rNLyZQ5_7NfCc9t0fIvnnU5doQP5yNVD4SKxdhGcoVRH7iy_slsNC9yrk-94wPyr5cqv3f2YH0P5myXim0yEb4HL05qL7_Qy7V1BWWULRFLXhwMcGMvEHds9e5kolfrNj_J6uXC7eEYm8P_SKvZa5MZAjOSJlXqSVRhvLz9iqCSNE9erZ2-SjNnvFGOB8TMw1NbdLDu_4OqylaJZH1iXp106hY8pwRKFsN_IPetuA2LwJO_fLuCE079FHqlu16QVdS6zXCqhn9zWMfGtLxcLbcR0NLznuOCYvw==\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Inspecting job files**\\n\\nI realize that jobs exist, but it seems our test might be a queued job that hasn't been saved yet. I'm thinking I need to take a closer look at the latest job files to see what’s going on. There’s a mix of uncertainty about whether this is working as intended or if I need to take further action. I'll definitely check that out to clarify everything!\"}]}"},{"type":"toolCall","id":"call_mVUtZ8KA6pu903FH4KULBMRA|fc_0d852cbc8d6115830169fa034a01e481948e78e5db28a23056","name":"read","arguments":{"path":"/mnt/rpi/pi-config/sessions/session-memory-jobs/20260505T143201664755Z.json","offset":1,"limit":260}},{"type":"toolCall","id":"call_eBHS7QO9FYKI7l5706gZignQ|fc_0d852cbc8d6115830169fa034a01f88194b91d9dfcc9d4df8a","name":"read","arguments":{"path":"/mnt/rpi/pi-config/sessions/session-memory-jobs/20260505T134438583726Z.json","offset":1,"limit":260}},{"type":"toolCall","id":"call_g0K6PEpFT5TQCbFyL9gS8RnW|fc_0d852cbc8d6115830169fa034a02008194b820bdb9bd19474b","name":"bash","arguments":{"command":"python3 - <<'PY'\nimport json\nfrom pathlib import Path\nbase=Path('/mnt/rpi/pi-config/sessions/session-memory-jobs')\nfor p in sorted(base.glob('*.json'), key=lambda x: x.stat().st_mtime, reverse=True)[:12]:\n    data=json.loads(p.read_text())\n    print(p.name, 'status=', data.get('analysis',{}).get('status'), 'saved=', data.get('analysis',{}).get('saved'), 'memory_id=', data.get('analysis',{}).get('memory_id'), 'trigger=', data.get('payload',{}).get('trigger'), 'reason=', data.get('payload',{}).get('reason'))\nPY","timeout":15}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":3632,"output":302,"cacheRead":75776,"cacheWrite":0,"totalTokens":79710,"cost":{"input":0.009080000000000001,"output":0.00453,"cacheRead":0.018944,"cacheWrite":0,"total":0.032554}},"stopReason":"toolUse","timestamp":1777992512298,"responseId":"resp_0d852cbc8d6115830169fa034126408194bc0c3b0ba2bb0a02"}}
{"type":"message","id":"919edd62","parentId":"a66446b4","timestamp":"2026-05-05T14:48:42.915Z","message":{"role":"toolResult","toolCallId":"call_mVUtZ8KA6pu903FH4KULBMRA|fc_0d852cbc8d6115830169fa034a01e481948e78e5db28a23056","toolName":"read","content":[{"type":"text","text":"{\n  \"job_id\": \"20260505T143201664755Z\",\n  \"queued_at\": \"2026-05-05T14:32:01.664814+00:00\",\n  \"status\": \"queued\",\n  \"job_type\": \"session_memory_analysis\",\n  \"payload\": {\n    \"session_id\": \"999aa631\",\n    \"session_file\": \"/mnt/rpi/pi-config/sessions/--home-sebas--/2026-05-04T21-17-14-403Z_019df4da-3522-776c-986b-78e057101a55.jsonl\",\n    \"reason\": \"before_switch:resume\",\n    \"cwd\": \"/home/sebas\",\n    \"scope\": \"global\",\n    \"user_messages\": 4,\n    \"assistant_messages\": 15,\n    \"last_user_text\": \"we were updating linux, can you move some things to /mnt/rpi to make space?\",\n    \"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\",\n    \"branch\": [\n      {\n        \"type\": \"model_change\",\n        \"id\": \"63456998\",\n        \"parentId\": null,\n        \"timestamp\": \"2026-05-04T21:17:15.645Z\",\n        \"provider\": \"openai-codex\",\n        \"modelId\": \"gpt-5.4\"\n      },\n      {\n        \"type\": \"thinking_level_change\",\n        \"id\": \"08c69fcd\",\n        \"parentId\": \"63456998\",\n        \"timestamp\": \"2026-05-04T21:17:15.645Z\",\n        \"thinkingLevel\": \"low\"\n      },\n      {\n        \"type\": \"message\",\n        \"id\": \"653400fb\",\n        \"parentId\": \"08c69fcd\",\n        \"timestamp\": \"2026-05-04T21:17:26.523Z\",\n        \"message\": {\n          \"role\": \"user\",\n          \"content\": [\n            {\n              \"type\": \"text\",\n              \"text\": \"clear /tmp\"\n            }\n          ],\n          \"timestamp\": 1777929446512\n        }\n      },\n      {\n        \"type\": \"message\",\n        \"id\": \"e5be1b7c\",\n        \"parentId\": \"653400fb\",\n        \"timestamp\": \"2026-05-04T21:17:31.633Z\",\n        \"message\": {\n          \"role\": \"assistant\",\n          \"content\": [\n            {\n              \"type\": \"thinking\",\n              \"thinking\": \"\",\n              \"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\\\":[]}\"\n            },\n            {\n              \"type\": \"text\",\n              \"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`.\",\n              \"textSignature\": \"{\\\"v\\\":1,\\\"id\\\":\\\"msg_0056cf023ec1dd460169f90cea5fe881948ca80dbc73948c09\\\",\\\"phase\\\":\\\"final_answer\\\"}\"\n            }\n          ],\n          \"api\": \"openai-codex-responses\",\n          \"provider\": \"openai-codex\",\n          \"model\": \"gpt-5.4\",\n          \"usage\": {\n            \"input\": 3961,\n            \"output\": 215,\n            \"cacheRead\": 0,\n            \"cacheWrite\": 0,\n            \"totalTokens\": 4176,\n            \"cost\": {\n              \"input\": 0.009902500000000002,\n              \"output\": 0.003225,\n              \"cacheRead\": 0,\n              \"cacheWrite\": 0,\n              \"total\": 0.013127500000000002\n            }\n          },\n          \"stopReason\": \"stop\",\n          \"timestamp\": 1777929446524,\n          \"responseId\": \"resp_0056cf023ec1dd460169f90ce6dd548194bfac7f49969fef6b\"\n        }\n      },\n      {\n        \"type\": \"message\",\n        \"id\": \"f2d668e7\",\n        \"parentId\": \"e5be1b7c\",\n        \"timestamp\": \"2026-05-04T21:17:42.037Z\",\n        \"message\": {\n          \"role\": \"user\",\n          \"content\": [\n            {\n              \"type\": \"text\",\n              \"text\": \"1\"\n            }\n          ],\n          \"timestamp\": 1777929462028\n        }\n      },\n      {\n        \"type\": \"message\",\n        \"id\": \"d6d005fc\",\n        \"parentId\": \"f2d668e7\",\n        \"timestamp\": \"2026-05-04T21:17:45.652Z\",\n        \"message\": {\n          \"role\": \"assistant\",\n          \"content\": [\n            {\n              \"type\": \"thinking\",\n              \"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!\",\n              \"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!\\\"}]}\"\n            },\n            {\n              \"type\": \"toolCall\",\n              \"id\": \"call_SeIrySeAEsmTqlqxyrZ1UeIU|fc_0056cf023ec1dd460169f90cf96098819495da07df065dfd1b\",\n              \"name\": \"bash\",\n              \"arguments\": {\n                \"command\": \"cd /mnt/rpi/pi-config && bin/tmp-cleanup\",\n                \"timeout\": 120\n              }\n            }\n          ],\n          \"api\": \"openai-codex-responses\",\n          \"provider\": \"openai-codex\",\n          \"model\": \"gpt-5.4\",\n          \"usage\": {\n            \"input\": 466,\n            \"output\": 52,\n            \"cacheRead\": 3584,\n            \"cacheWrite\": 0,\n            \"totalTokens\": 4102,\n            \"cost\": {\n              \"input\": 0.001165,\n              \"output\": 0.00078,\n              \"cacheRead\": 0.000896,\n              \"cacheWrite\": 0,\n              \"total\": 0.002841\n            }\n          },\n          \"stopReason\": \"toolUse\",\n          \"timestamp\": 1777929462031,\n          \"responseId\": \"resp_0056cf023ec1dd460169f90cf6511c8194b65fd723246a2531\"\n        }\n      },\n      {\n        \"type\": \"message\",\n        \"id\": \"0b14fc90\",\n        \"parentId\": \"d6d005fc\",\n        \"timestamp\": \"2026-05-04T21:17:45.675Z\",\n        \"message\": {\n          \"role\": \"toolResult\",\n          \"toolCallId\": \"call_SeIrySeAEsmTqlqxyrZ1UeIU|fc_0056cf023ec1dd460169f90cf96098819495da07df065dfd1b\",\n          \"toolName\": \"bash\",\n          \"content\": [\n            {\n              \"type\": \"text\",\n              \"text\": \"policy dir=/tmp older_than=3d matched=0 deleted=0\\n\"\n            }\n          ],\n          \"isError\": false,\n          \"timestamp\": 1777929465674\n        }\n      },\n      {\n        \"type\": \"message\",\n        \"id\": \"31d2eadd\",\n        \"parentId\": \"0b14fc90\",\n        \"timestamp\": \"2026-05-04T21:17:48.174Z\",\n        \"message\": {\n          \"role\": \"assistant\",\n          \"content\": [\n            {\n              \"type\": \"text\",\n              \"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.\",\n              \"textSignature\": \"{\\\"v\\\":1,\\\"id\\\":\\\"msg_0056cf023ec1dd460169f90cfb42288194ac61e0fc82ce751c\\\",\\\"phase\\\":\\\"final_answer\\\"}\"\n            }\n          ],\n          \"api\": \"openai-codex-responses\",\n          \"provider\": \"openai-codex\",\n          \"model\": \"gpt-5.4\",\n          \"usage\": {\n            \"input\": 545,\n            \"output\": 41,\n            \"cacheRead\": 3584,\n            \"cacheWrite\": 0,\n            \"totalTokens\": 4170,\n            \"cost\": {\n              \"input\": 0.0013625000000000002,\n              \"output\": 0.000615,\n              \"cacheRead\": 0.000896,\n              \"cacheWrite\": 0,\n              \"total\": 0.0028735\n            }\n          },\n          \"stopReason\": \"stop\",\n          \"timestamp\": 1777929465677,\n          \"responseId\": \"resp_0056cf023ec1dd460169f90cf9f8c88194b114c19be28e46bc\"\n        }\n      },\n      {\n        \"type\": \"message\",\n        \"id\": \"2384e469\",\n        \"parentId\": \"31d2eadd\",\n        \"timestamp\": \"2026-05-04T21:17:59.993Z\",\n        \"message\": {\n          \"role\": \"user\",\n          \"content\": [\n            {\n              \"type\": \"text\",\n              \"text\": \"is ~ full?\"\n            }\n          ],\n          \"timestamp\": 1777929479986\n        }\n      },\n      {\n        \"type\": \"message\",\n        \"id\": \"99af0731\",\n        \"parentId\": \"2384e469\",\n        \"timestamp\": \"2026-05-04T21:18:06.763Z\",\n        \"message\": {\n          \"role\": \"assistant\",\n          \"content\": [\n            {\n              \"type\": \"thinking\",\n              \"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!\",\n              \"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!\\\"}]}\"\n            },\n            {\n              \"type\": \"toolCall\",\n              \"id\": \"call_rxypwfjnie6y9nSVxxtJgaTw|fc_0056cf023ec1dd460169f90d0debc0819496b5b3abc419b9b3\",\n              \"name\": \"bash\",\n              \"arguments\": {\n                \"command\": \"df -h ~ /mnt/rpi /\",\n                \"timeout\": 30\n              }\n            },\n            {\n              \"type\": \"toolCall\",\n              \"id\": \"call_2ySSy9EZtkbP5KmUleZJRUo8|fc_0056cf023ec1dd460169f90d0debd48194805ede4e9981f803\",\n              \"name\": \"bash\",\n              \"arguments\": {\n                \"command\": \"du -sh ~ 2>/dev/null && du -sh ~/.cache 2>/dev/null && du -sh ~/Downloads 2>/dev/null && du -sh ~/.* 2>/dev/null | sort -h | tail -n 20\",\n                \"timeout\": 120\n              }\n            }\n          ],\n          \"api\": \"openai-codex-responses\",\n          \"provider\": \"openai-codex\",\n          \"model\": \"gpt-5.4\",\n          \"usage\": {\n            \"input\": 577,\n            \"output\": 145,\n            \"cacheRead\": 3584,\n            \"cacheWrite\": 0,\n\n[877 more lines in file. Use offset=261 to continue.]"}],"isError":false,"timestamp":1777992522915}}
{"type":"message","id":"13ef1c18","parentId":"919edd62","timestamp":"2026-05-05T14:48:42.917Z","message":{"role":"toolResult","toolCallId":"call_eBHS7QO9FYKI7l5706gZignQ|fc_0d852cbc8d6115830169fa034a01f88194b91d9dfcc9d4df8a","toolName":"read","content":[{"type":"text","text":"{\n  \"job_id\": \"20260505T134438583726Z\",\n  \"queued_at\": \"2026-05-05T13:44:38.583785+00:00\",\n  \"status\": \"queued\",\n  \"job_type\": \"session_memory_analysis\",\n  \"payload\": {\n    \"session_id\": \"bf3e179b\",\n    \"session_file\": \"/mnt/rpi/pi-config/sessions/--home-sebas--/2026-05-05T13-38-23-930Z_019df85c-7c39-73e8-aa53-3b548239898e.jsonl\",\n    \"reason\": \"before_switch:new\",\n    \"cwd\": \"/home/sebas\",\n    \"scope\": \"global\",\n    \"user_messages\": 5,\n    \"assistant_messages\": 9,\n    \"last_user_text\": \"apply yourself, do outside this session as it will shut down when running restart\",\n    \"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\",\n    \"branch\": [\n      {\n        \"type\": \"model_change\",\n        \"id\": \"f5efe289\",\n        \"parentId\": null,\n        \"timestamp\": \"2026-05-05T13:38:28.723Z\",\n        \"provider\": \"openai-codex\",\n        \"modelId\": \"gpt-5.4\"\n      },\n      {\n        \"type\": \"thinking_level_change\",\n        \"id\": \"dbf4bcb7\",\n        \"parentId\": \"f5efe289\",\n        \"timestamp\": \"2026-05-05T13:38:28.724Z\",\n        \"thinkingLevel\": \"low\"\n      },\n      {\n        \"type\": \"message\",\n        \"id\": \"c1cf3a38\",\n        \"parentId\": \"dbf4bcb7\",\n        \"timestamp\": \"2026-05-05T13:38:45.032Z\",\n        \"message\": {\n          \"role\": \"user\",\n          \"content\": [\n            {\n              \"type\": \"text\",\n              \"text\": \"why can it be ssh session cuts off if inactive for ~30min?\"\n            }\n          ],\n          \"timestamp\": 1777988325013\n        }\n      },\n      {\n        \"type\": \"message\",\n        \"id\": \"eaf993f9\",\n        \"parentId\": \"c1cf3a38\",\n        \"timestamp\": \"2026-05-05T13:38:53.267Z\",\n        \"message\": {\n          \"role\": \"assistant\",\n          \"content\": [\n            {\n              \"type\": \"thinking\",\n              \"thinking\": \"\",\n              \"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\\\":[]}\"\n            },\n            {\n              \"type\": \"text\",\n              \"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.\",\n              \"textSignature\": \"{\\\"v\\\":1,\\\"id\\\":\\\"msg_058f3b86ab5e4f940169f9f2e778f88190bc49df99f8f5a35e\\\",\\\"phase\\\":\\\"final_answer\\\"}\"\n            }\n          ],\n          \"api\": \"openai-codex-responses\",\n          \"provider\": \"openai-codex\",\n          \"model\": \"gpt-5.4\",\n          \"usage\": {\n            \"input\": 3973,\n            \"output\": 339,\n            \"cacheRead\": 0,\n            \"cacheWrite\": 0,\n            \"totalTokens\": 4312,\n            \"cost\": {\n              \"input\": 0.0099325,\n              \"output\": 0.005085,\n              \"cacheRead\": 0,\n              \"cacheWrite\": 0,\n              \"total\": 0.0150175\n            }\n          },\n          \"stopReason\": \"stop\",\n          \"timestamp\": 1777988325038,\n          \"responseId\": \"resp_058f3b86ab5e4f940169f9f2e5b1288190815a7ff9fcc9158a\"\n        }\n      },\n      {\n        \"type\": \"message\",\n        \"id\": \"7fece525\",\n        \"parentId\": \"eaf993f9\",\n        \"timestamp\": \"2026-05-05T13:39:40.846Z\",\n        \"message\": {\n          \"role\": \"user\",\n          \"content\": [\n            {\n              \"type\": \"text\",\n              \"text\": \"help me extend to 4hs\"\n            }\n          ],\n          \"timestamp\": 1777988380840\n        }\n      },\n      {\n        \"type\": \"message\",\n        \"id\": \"8e6f9201\",\n        \"parentId\": \"7fece525\",\n        \"timestamp\": \"2026-05-05T13:39:47.382Z\",\n        \"message\": {\n          \"role\": \"assistant\",\n          \"content\": [\n            {\n              \"type\": \"thinking\",\n              \"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.\",\n              \"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.\\\"}]}\"\n            },\n            {\n              \"type\": \"text\",\n              \"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.\",\n              \"textSignature\": \"{\\\"v\\\":1,\\\"id\\\":\\\"msg_058f3b86ab5e4f940169f9f3210b50819085d3a9ea0337ed73\\\",\\\"phase\\\":\\\"final_answer\\\"}\"\n            }\n          ],\n          \"api\": \"openai-codex-responses\",\n          \"provider\": \"openai-codex\",\n          \"model\": \"gpt-5.4\",\n          \"usage\": {\n            \"input\": 4311,\n            \"output\": 307,\n            \"cacheRead\": 0,\n            \"cacheWrite\": 0,\n            \"totalTokens\": 4618,\n            \"cost\": {\n              \"input\": 0.0107775,\n              \"output\": 0.004605,\n              \"cacheRead\": 0,\n              \"cacheWrite\": 0,\n              \"total\": 0.0153825\n            }\n          },\n          \"stopReason\": \"stop\",\n          \"timestamp\": 1777988380842,\n          \"responseId\": \"resp_058f3b86ab5e4f940169f9f31d1b608190aaf8c7cde59ac4ac\"\n        }\n      },\n      {\n        \"type\": \"message\",\n        \"id\": \"0c602f2e\",\n        \"parentId\": \"8e6f9201\",\n        \"timestamp\": \"2026-05-05T13:40:52.255Z\",\n        \"message\": {\n          \"role\": \"user\",\n          \"content\": [\n            {\n              \"type\": \"text\",\n              \"text\": \"this on this server or the laptop im connected in?\"\n            }\n          ],\n          \"timestamp\": 1777988452250\n        }\n      },\n      {\n        \"type\": \"message\",\n        \"id\": \"ca949478\",\n        \"parentId\": \"0c602f2e\",\n        \"timestamp\": \"2026-05-05T13:40:56.773Z\",\n        \"message\": {\n          \"role\": \"assistant\",\n          \"content\": [\n            {\n              \"type\": \"text\",\n              \"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\",\n              \"textSignature\": \"{\\\"v\\\":1,\\\"id\\\":\\\"msg_058f3b86ab5e4f940169f9f3655690819091e0b292560ad7c4\\\",\\\"phase\\\":\\\"final_answer\\\"}\"\n            }\n          ],\n          \"api\": \"openai-codex-responses\",\n          \"provider\": \"openai-codex\",\n          \"model\": \"gpt-5.4\",\n          \"usage\": {\n            \"input\": 4611,\n            \"output\": 174,\n            \"cacheRead\": 0,\n            \"cacheWrite\": 0,\n            \"totalTokens\": 4785,\n            \"cost\": {\n              \"input\": 0.011527500000000001,\n              \"output\": 0.00261,\n              \"cacheRead\": 0,\n              \"cacheWrite\": 0,\n              \"total\": 0.0141375\n            }\n          },\n          \"stopReason\": \"stop\",\n          \"timestamp\": 1777988452251,\n          \"responseId\": \"resp_058f3b86ab5e4f940169f9f364ae1481909f4c69f067064192\"\n        }\n      },\n      {\n        \"type\": \"message\",\n        \"id\": \"68b189d6\",\n        \"parentId\": \"ca949478\",\n        \"timestamp\": \"2026-05-05T13:41:21.127Z\",\n        \"message\": {\n          \"role\": \"user\",\n          \"content\": [\n            {\n              \"type\": \"text\",\n              \"text\": \"you change on server if it helps both laptop and phone connecting to server\"\n            }\n          ],\n          \"timestamp\": 1777988481123\n        }\n      },\n      {\n        \"type\": \"message\",\n        \"id\": \"ed0d4fc0\",\n        \"parentId\": \"68b189d6\",\n        \"timestamp\": \"2026-05-05T13:41:26.258Z\",\n        \"message\": {\n          \"role\": \"assistant\",\n          \"content\": [\n            {\n              \"type\": \"thinking\",\n              \"thinking\": \"\",\n              \"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\\\":[]}\"\n            },\n            {\n              \"type\": \"text\",\n              \"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\",\n              \"textSignature\": \"{\\\"v\\\":1,\\\"id\\\":\\\"msg_058f3b86ab5e4f940169f9f3826b188190bbb3e6552516cf1b\\\",\\\"phase\\\":\\\"final_answer\\\"}\"\n            }\n          ],\n          \"api\": \"openai-codex-responses\",\n          \"provider\": \"openai-codex\",\n          \"model\": \"gpt-5.4\",\n          \"usage\": {\n            \"input\": 709,\n            \"output\": 226,\n            \"cacheRead\": 4096,\n            \"cacheWrite\": 0,\n            \"totalTokens\": 5031,\n            \"cost\": {\n              \"input\": 0.0017725000000000002,\n              \"output\": 0.0033900000000000002,\n              \"cacheRead\": 0.001024,\n              \"cacheWrite\": 0,\n              \"total\": 0.0061865\n            }\n          },\n          \"stopReason\": \"stop\",\n          \"timestamp\": 1777988481124,\n          \"responseId\": \"resp_058f3b86ab5e4f940169f9f38169148190beac30eb3ab07197\"\n        }\n      },\n      {\n        \"type\": \"message\",\n        \"id\": \"4c608d6e\",\n        \"parentId\": \"ed0d4fc0\",\n        \"timestamp\": \"2026-05-05T13:42:02.634Z\",\n        \"message\": {\n\n[372 more lines in file. Use offset=261 to continue.]"}],"isError":false,"timestamp":1777992522915}}
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{"type":"message","id":"4ad9d5d8","parentId":"c2097b08","timestamp":"2026-05-05T14:48:49.966Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_0d852cbc8d6115830169fa034e21c48194aba143af673bd6a1\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-gNO_r-ZUIrYknSnVwhsSN0pavcxSZ1sNh5ctjdvlU0eCfFXREasV1cyLfPyuHiJ4ZuCQ0iOgPrRzXBy0FZAD3Aw4lPbbN6qtWt-ZgOU86JDOG0U2KSBzsC4VDNqzs6KGVJ3M7wg5ggoVixKFLPZCw-J4NqGYH5wnFPJOmkTixEqiaAa9ZdLDdLFfOqYfpJSvsR3344TAR_ARCfPSrDfYnNm_3c1GijYQamWbVfmTSqJFI4qpOwYQK2JOWvwHWkdWnfKZBQbYYrK2lbNQr_UtRjiLwH5KrKiGA5_t26HoGsKaksDYSphbxujxD9klVzEo2ftqT5A3K5f5PT6ZdFHCwyaTAnoFJvatkj01HngLcpUBQ_CGhSWb5BWy140GMfdKJBIwIgsRCm4h6RJaoIcXJtAuFo7te0x70-4Et43jeNSbdP8OIpU2E81fIP7DudiEj6G9nu-bezQzC74B9qfqpi3Ys1NbT_rsK9mxjgOFccSDU8kNKp7XMTJD20TyYos_2QzRggLpEeb7nDRRlwVUUOEassSFN8X4zOafe0-LpkXDBTfNchYsO_tDgv_vw0CfhMMRAs_JAq092E-ABFkOSRfvjkA9ByO6bfjPwyX4lS80t09-uBBwbiJWZuWtoJuZ38o5aV7qVTfETbL3EjT6cCA_GHfAhT2O1rvHx8q6Y-NPfIo4rxsWdUgdH8OVHvsZSt7rxy9VXLRmUmqpn7OU0rGmo3AvZHQ8jmqL31K2VLp2oo5fjhkWpYDoJYQZI3-riCEkVQ-oFHtYOJhWCV53P9JkZY9uSkZkXjXz2DddMQKSwiAMlk1dJ2q1QaxrpF39uC6CeW1VTy1RSN3yZhEyPYT0YxP9Mt-wh6WcG_1_-WLxitxjuP8RdEJ8_VqD0KjaWHlnkjCfYOdrpUt0Gvrzm08iIOedJfIW5ZxWrd7q4fjv-zldx88aq7K72mEIm2ZBrH2LLMr7XNp4P_nldY86q7PFw==\",\"summary\":[]}"},{"type":"toolCall","id":"call_3PWmb6dy9C1xiO3HHM5VrpeV|fc_0d852cbc8d6115830169fa034ecf1c8194a185eeb8170f4f60","name":"bash","arguments":{"command":"python3 - <<'PY'\nimport json\nfrom pathlib import Path\nfor name in ['20260505T143201664755Z.json','20260505T134438583726Z.json','20260501T194747970340Z.json']:\n p=Path('/mnt/rpi/pi-config/sessions/session-memory-jobs')/name\n d=json.loads(p.read_text())\n print('\\nFILE',name)\n print(json.dumps(d.get('analysis',{}), ensure_ascii=False, indent=2)[:4000])\nPY","timeout":15}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":13051,"output":151,"cacheRead":78848,"cacheWrite":0,"totalTokens":92050,"cost":{"input":0.032627500000000004,"output":0.002265,"cacheRead":0.019712,"cacheWrite":0,"total":0.05460450000000001}},"stopReason":"toolUse","timestamp":1777992522917,"responseId":"resp_0d852cbc8d6115830169fa034b66748194a34721751393ba0f"}}
{"type":"message","id":"9726a69f","parentId":"4ad9d5d8","timestamp":"2026-05-05T14:48:50.034Z","message":{"role":"toolResult","toolCallId":"call_3PWmb6dy9C1xiO3HHM5VrpeV|fc_0d852cbc8d6115830169fa034ecf1c8194a185eeb8170f4f60","toolName":"bash","content":[{"type":"text","text":"\nFILE 20260505T143201664755Z.json\n{\n  \"status\": \"failed\",\n  \"save\": null,\n  \"memory_id\": null,\n  \"error\": \"[Errno 2] No such file or directory: 'pi'\"\n}\n\nFILE 20260505T134438583726Z.json\n{\n  \"status\": \"failed\",\n  \"save\": null,\n  \"memory_id\": null,\n  \"error\": \"[Errno 2] No such file or directory: 'pi'\"\n}\n\nFILE 20260501T194747970340Z.json\n{\n  \"status\": \"failed\",\n  \"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\"\n}\n"}],"isError":false,"timestamp":1777992530033}}
{"type":"message","id":"b5584904","parentId":"9726a69f","timestamp":"2026-05-05T14:48:57.505Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Investigating service file issues**\n\nI 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!","thinkingSignature":"{\"id\":\"rs_0d852cbc8d6115830169fa03543a4081948f8bfe543d41a8f7\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-gNZjTa4gm7TJh9mTnHFEBPj5TWwLJNLOJxA1I9w-coXa88JGD00ELAKqf1IvHZZ4XboRRMR60BSuQS8ZLsrAIYo4mdqjHLV9c7fT98iGvYkzWPO0gvLV_eT3hFyEmV8QYg87ynsOfBr_4Z9HbxRXsGeTB3ELuVsBvVkHrz7BHze-MEY9rki52ATX5wysQgOLL5xnp1CK3BqNtwvBRgjZWK86fIEZI2DyEdCoGIblLNNaVm9DzsU2ocoXuYB5jKbaVVs6KaeQNzI-cXqF3H2zKn9q_LREiliDLRBJp09RzNO3y07qNstmnMDJuv2zAFABagQVp-aeH3K4xpmX_C7XTa4eAggrIgYbDXQ2UW6TFHmK4LTRP6U0aLC-91XvNK-sdX_fGPEwa2WYAuLHMknEEAAIur3Uy3oUSEteGF-RyIDXkAhLEYZUi-0WvBlEm4p_Y9dIyK9fFhScBOM2ue5qF7IwWt3C6pdnDy5ZIWV_lNuit11vCsY9SIfPPdzJhctLMrnC0XAxuVz0IFM3ZWzNVVPhFb__G0GaEjkSMe8CwbRS8-nEqNFOqFeTp3Z17mx4HvMck5JLn-c875TfVfeBzqrXYEtp_1mXX6NKFZAJDrYwosIjpnBsIgMCQWJMRjYEIMgCvh8fTYncM5V9Mc1a7sbH81d2EidLROfTiZI7iztiNKdEhJySPVC7YAyGx3Ei7ZXHESnLLh7d40Z-41sBguUlkPl5GaXDj4Grm2wZPtA2w6QdcgPpsRJvUYfp42ynzucVyMjxsaiKUy9OBb7n75grQw4U6WHeZTne4zNve2nFVST5eza55WJBPXnVp-KdZ6XkeNiQTUD2B6SfvAUYU9UvK-Hxwg6WdKTgGm75Zc_GJ7Uvh49Ia4kSnkfTfKJ0Rxga2bdC8lJ1Xe5QCyjNgj8LdeuXOH9T7SpZ_T1ycYroLhNyanGmDj9GdC2jv5vI6zxHk_-xeTsr-FMJj-5boAe8dSjT-pIwnrhemIW-J4IKO9fsko68p-335EbZWNeYrTxXcci-KYhYew7-psAb-5YCFJDJkGz6-JcstmpLyB-zFzp8j5YCo5yw8mpYZlceZ--\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Investigating service file issues**\\n\\nI 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!\"}]}"},{"type":"toolCall","id":"call_4RFFVX5t3qjNYNxqS8Hr0KPw|fc_0d852cbc8d6115830169fa035950388194b11de5f7fa0fa46f","name":"bash","arguments":{"command":"command -v pi || true\nwhich pi || true\nprintf 'PATH=%s\\n' \"$PATH\"\nls -l ~/.npm-global/bin/pi 2>/dev/null || true\nls -l /usr/local/bin/pi 2>/dev/null || true","timeout":15}},{"type":"toolCall","id":"call_xOb2MgVY68P8ixRfNfYZvG8i|fc_0d852cbc8d6115830169fa0359504881948de085efc79c909f","name":"read","arguments":{"path":"/mnt/rpi/pi-config/scripts/install-session-memory-dispatcher.service","offset":1,"limit":200}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":838,"output":154,"cacheRead":91648,"cacheWrite":0,"totalTokens":92640,"cost":{"input":0.002095,"output":0.00231,"cacheRead":0.022912,"cacheWrite":0,"total":0.027316999999999998}},"stopReason":"toolUse","timestamp":1777992530035,"responseId":"resp_0d852cbc8d6115830169fa035293d481948c6b3aa72e2e5468"}}
{"type":"message","id":"5c242482","parentId":"b5584904","timestamp":"2026-05-05T14:48:57.521Z","message":{"role":"toolResult","toolCallId":"call_4RFFVX5t3qjNYNxqS8Hr0KPw|fc_0d852cbc8d6115830169fa035950388194b11de5f7fa0fa46f","toolName":"bash","content":[{"type":"text","text":"/home/sebas/.npm-global/bin/pi\n/home/sebas/.npm-global/bin/pi\nPATH=/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\nlrwxrwxrwx 1 sebas sebas 61 May  1 01:37 /home/sebas/.npm-global/bin/pi -> ../lib/node_modules/@mariozechner/pi-coding-agent/dist/cli.js\n"}],"isError":false,"timestamp":1777992537520}}
{"type":"message","id":"97808b5b","parentId":"5c242482","timestamp":"2026-05-05T14:48:57.522Z","message":{"role":"toolResult","toolCallId":"call_xOb2MgVY68P8ixRfNfYZvG8i|fc_0d852cbc8d6115830169fa0359504881948de085efc79c909f","toolName":"read","content":[{"type":"text","text":"[Unit]\nDescription=Pi session memory dispatcher\nAfter=network-online.target\nWants=network-online.target\n\n[Service]\nType=simple\nExecStart=/usr/bin/env python3 /mnt/rpi/pi-config/scripts/session-memory-dispatcher.py --host 127.0.0.1 --port 17882\nRestart=always\nRestartSec=2\nEnvironment=AGENTS_DB_API=http://100.116.176.16:8091\nWorkingDirectory=/mnt/rpi/pi-config\n\n[Install]\nWantedBy=default.target\n"}],"isError":false,"timestamp":1777992537521}}
{"type":"message","id":"bea081b6","parentId":"97808b5b","timestamp":"2026-05-05T14:49:13.348Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Debugging the system**\n\nI 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!","thinkingSignature":"{\"id\":\"rs_0d852cbc8d6115830169fa035af6c88194aa0112d3fcab7048\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-gNgEXpZfpoW_L4RKvhxKcjYbGDb77raB5qMa9NZ1bleu_U9E7tOf4C8RxpWiUh7i4MO10Qz2cCaOv6LmhgwdaLbJYEYi6nWgXr-oU4KZbzdAfXFE398u5Oyay2_lm5zKA9U0fCn6K2fDTbAoyQsPM_swwbrV3eJb5EnlT5ZCjmkFMPJCRogDjmEvSFjoGghs2Z1GSf-jwUYLsK_MwO6dxVscC_q8VugTgZnhlPKSbje1WQOcFeho-Z1lYGCQe5InTnNBWdusBPBOBqsCpOABmSFN8nUOpmYJckY5yXrLTeHyiMctPW5qmSwbLwqnIRu1e3pK0jzyzpPaSvJB0JzYOrsWgpTkBPgc6iULj0_h6sXrrM3prE0OyFRzOJEDcM4TZR8m5aS6Me8IMoVR8IvZAEtXY6n3QkSR9SNPmVD8UBIs44dsO0Eh1JfLZi1SFcXa4bUEUQ7aNy1_YqdeqMc3htL8wpUdlBJVMObnidXAXAMyAFp5Ofdc4qDkdu5jtqphIUBbuEtcHO0QcGYy-e6OobfigjHGucHboIV-5Uv5jEtsPni_RovPVnKQVkRR6913ov9Y81C2XLM5GpVPktkJ4tuF6zaRbLxPwIFWUkC3BcBH5rB7oMlOJoKaf2NOJkQSwfqV0LiZ9MyO3snMgs-11N427L6R1kgRJlcTh2v2xYb28NzbRC_0fusip8hyk1M9tc-Mrwg9k4lTMX5t4itVpQfz_i0CkhDFYuNW3YNfz2qSPF2XDlqHDLa0RuXqpF-7Nh8YiR33WRLjh_XbSD-A89EGGmmUSzY1WMCe7RwFKWDJ_qxY1rDVKqrfOcWqmhrDaBrznAhpB25xCE-juIlFRFj1yh-hjb5iIre7cJe0rMYcMHxBSG1ZVbXkK1_hqdxxIxHbwgycHsgS7RIl8PwCa-TV6tIWJhQ82ucWQadBE0VIXRMThOH1xDhqKFu3fgR6hYT42SOK-6BJHc3DTfYcIL_Bnmn7hQQAlWJoaOXBjCLn7qNpjy_Ppqq1Mxln_hXsnWoEqaxJ4cVLMfUnRBKmVt1PiFw9VeqN4gKOtYQxdsr3kBbKRgqvg9DCihiRFQvQlz_afTIjD0tYpONW-SbEJo3uSMIKWZx9M0llbKsqtfz2UrBa-7kJTCQV-w-VqH0d-DtbNuHK4Ux4fN3I1j4McRbXGAXKFOgn_eQ_nvPIi3YNFZlAVEufyAvTewB7ZwL-JUaOrxdUnx-eKxrqT98QEGAEKd7i7U3LcpokTv8QeYaod6YR9SC6gyJsX1YrNwovpNLCTxsTexzYkALTzhCkmVdj3arb2hDzxUf-PpNLZXIS2y9OCODEqtoHdG_kd9bo-xwpsEQD_kCqzGevDLQ69qRIN0Mq_BUbivg8uYJ3rTnqOXhqTeMvczxIhnvsB9ql6vd6kP9k3lfAObFRqYkw4oXVBJvtlvoq_4KDd8JWUA29ctTU95SctpddCalETwpBzyHX36s9ZMIv3lUE65UYv9GygiTCuXN6TesBZu8SD9T8OWmWp1Ym_wZ7PxbZkQvUbJUUt8jwacfexMjxns47nM2c8Zp92Yj9Mdb-0jMxzWaUAlhMkJQzwvEZw8ePVge-lJ5FJMpNZbvuGhnLTwuPFqg4b2d0GiFnKifcHQ879Jai4u0w3Mn5mz9maIAPh5MmObJ-o_h-oSmyD3Ymc05frefa7gqyIlsa8qjBQMEfAAUYHyk0nJUbffSAyIs9pIeY4nKclAINshIIO2sBCwWjaDtuDZDKMS9dDpS4AB-7erjrnur3Q-Fxsc2HIK6I4GlKNFXjOxO6lRHeg4YAJk5DW7vGRvFfDn_jA4nXWBmfhvRRfMg3fdwC_lqdXLtibBbuWVFtI8zlRf8-tRjLhRO_FpwYVSuy_XFTIjYx-GUz_wC7gMhPwz2fn1Rpxrkj_uuWDiEXU6Vv0yyx00-mDroqbH9QFe2vvEilpLWYxm_1ZnAe5IFAiyob0hizmJ4kLR__BKDKt-3eQ26526N3EzTDntv2QhYQC0P63mPtlPWmqgxkKzjiE-ywOPJz-WwC_OwpIixR_qFQh4jFJVabrexzkBlcei_V-lxONRZJomLY6EIscr7BM1X7GR-WNPIbiGa5i3D3TSSW-PTQkbNg3N7xBiIbD0BnUh18FdY1XJnug5jCQFPdEnEPgsWviIRyYIjrTIIzcGzGfFHPBZDtM2wygy-XH-A-VqSJPP1_ldmR7bAACTzAwjacsokK2IBMBn7mPSrswvqAUy_GGlPBNnw3fIBuF2gCWYuUO2b274p2hL37u16k8W5rneUwvz2WtOZysIRJFG-iRUBGCSTLQu4mMDt52CzaOix_WPf6mtuI3m-5W0gubifyrml4HrAN4CS-FZ4\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Debugging the system**\\n\\nI 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!\"}]}"},{"type":"toolCall","id":"call_H8uIzUehL19IT9lT24h17O7s|fc_0d852cbc8d6115830169fa03601e2c8194ac06e56568e62f3c","name":"edit","arguments":{"path":"/mnt/rpi/pi-config/scripts/session-memory-analyzer.py","edits":[{"oldText":"import argparse\nimport json\nimport os\nimport subprocess\nimport sys\nfrom pathlib import Path\nfrom typing import Any\nfrom urllib import request\n\nAGENTS_DB_API = os.environ.get(\"AGENTS_DB_API\", \"http://100.116.176.16:8091\")\nPI_MODEL = os.environ.get(\"PI_SESSION_MEMORY_MODEL\", \"gpt-5.4-mini\")\nPI_THINKING = os.environ.get(\"PI_SESSION_MEMORY_THINKING\", \"off\")\n","newText":"import argparse\nimport json\nimport os\nimport shutil\nimport subprocess\nimport sys\nfrom pathlib import Path\nfrom typing import Any\nfrom urllib import request\n\nAGENTS_DB_API = os.environ.get(\"AGENTS_DB_API\", \"http://100.116.176.16:8091\")\nPI_MODEL = os.environ.get(\"PI_SESSION_MEMORY_MODEL\", \"gpt-5.4-mini\")\nPI_THINKING = os.environ.get(\"PI_SESSION_MEMORY_THINKING\", \"off\")\nPI_BIN = os.environ.get(\"PI_SESSION_MEMORY_PI_BIN\")\n\n\ndef resolve_pi_bin() -> str:\n    candidates = [\n        PI_BIN,\n        shutil.which(\"pi\"),\n        str(Path.home() / \".npm-global\" / \"bin\" / \"pi\"),\n        \"/usr/local/bin/pi\",\n        \"/usr/bin/pi\",\n    ]\n    for candidate in candidates:\n        if not candidate:\n            continue\n        if Path(candidate).exists():\n            return candidate\n    raise FileNotFoundError(\"pi\")\n"},{"oldText":"def call_pi(prompt: str) -> str:\n    cmd = [\n        \"pi\",\n        \"-p\",\n        \"--provider\",\n        \"openai-codex\",\n        \"--model\",\n        PI_MODEL,\n        \"--thinking\",\n        PI_THINKING,\n        \"--no-tools\",\n        \"--no-session\",\n        prompt,\n    ]\n","newText":"def call_pi(prompt: str) -> str:\n    cmd = [\n        resolve_pi_bin(),\n        \"-p\",\n        \"--provider\",\n        \"openai-codex\",\n        \"--model\",\n        PI_MODEL,\n        \"--thinking\",\n        PI_THINKING,\n        \"--no-tools\",\n        \"--no-session\",\n        prompt,\n    ]\n"}]}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":756,"output":782,"cacheRead":92160,"cacheWrite":0,"totalTokens":93698,"cost":{"input":0.0018900000000000002,"output":0.01173,"cacheRead":0.023039999999999998,"cacheWrite":0,"total":0.03666}},"stopReason":"toolUse","timestamp":1777992537523,"responseId":"resp_0d852cbc8d6115830169fa0359e3508194a669a8f99740ce48"}}
{"type":"message","id":"f93529b7","parentId":"bea081b6","timestamp":"2026-05-05T14:49:13.407Z","message":{"role":"toolResult","toolCallId":"call_H8uIzUehL19IT9lT24h17O7s|fc_0d852cbc8d6115830169fa03601e2c8194ac06e56568e62f3c","toolName":"edit","content":[{"type":"text","text":"Successfully replaced 2 block(s) in /mnt/rpi/pi-config/scripts/session-memory-analyzer.py."}],"details":{"diff":"     ...\n   3 \n   4 import argparse\n   5 import json\n   6 import os\n+  7 import shutil\n   7 import subprocess\n   8 import sys\n   9 from pathlib import Path\n  10 from typing import Any\n     ...\n  12 \n  13 AGENTS_DB_API = os.environ.get(\"AGENTS_DB_API\", \"http://100.116.176.16:8091\")\n  14 PI_MODEL = os.environ.get(\"PI_SESSION_MEMORY_MODEL\", \"gpt-5.4-mini\")\n  15 PI_THINKING = os.environ.get(\"PI_SESSION_MEMORY_THINKING\", \"off\")\n+ 17 PI_BIN = os.environ.get(\"PI_SESSION_MEMORY_PI_BIN\")\n  16 \n  17 \n+ 20 def resolve_pi_bin() -> str:\n+ 21     candidates = [\n+ 22         PI_BIN,\n+ 23         shutil.which(\"pi\"),\n+ 24         str(Path.home() / \".npm-global\" / \"bin\" / \"pi\"),\n+ 25         \"/usr/local/bin/pi\",\n+ 26         \"/usr/bin/pi\",\n+ 27     ]\n+ 28     for candidate in candidates:\n+ 29         if not candidate:\n+ 30             continue\n+ 31         if Path(candidate).exists():\n+ 32             return candidate\n+ 33     raise FileNotFoundError(\"pi\")\n+ 34 \n+ 35 \n  18 def load_job(job_file: Path) -> dict[str, Any]:\n  19     return json.loads(job_file.read_text(encoding=\"utf-8\"))\n  20 \n  21 \n     ...\n  24 \n  25 \n  26 def call_pi(prompt: str) -> str:\n  27     cmd = [\n- 28         \"pi\",\n+ 46         resolve_pi_bin(),\n  29         \"-p\",\n  30         \"--provider\",\n  31         \"openai-codex\",\n  32         \"--model\",\n     ...","firstChangedLine":7},"isError":false,"timestamp":1777992553406}}
{"type":"message","id":"18ea2ef0","parentId":"f93529b7","timestamp":"2026-05-05T14:49:18.835Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Considering environment paths**\n\nI'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!","thinkingSignature":"{\"id\":\"rs_0d852cbc8d6115830169fa036b16b88194b457e2e30a3e7806\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-gNuZSdfXwUr7PpF8OgTV5DS4OJgFDTMjTanT8ePCO2bYybX1hJwH0U4RSQROTZ4FOjWNdrVQnp1-Vq5DuDHmjiiLDc0R33_e1QfG3BbTjen9nDm2BQnY2tKyuXbiP40SrPqXRr7XFNHu8YePMAFLQfFugDAjY4RcKOXpJ__3Reu1zydlcL1CuwEWU_OoVk2T2b8RNVuo6Fk2PegiF0tqP6w9z1U1HJGNdTEhx3xoDoH8K8o0wfY0jQ0Q3Mfj-cSMGwSDAUGNikADlTlaCbqP11lt6L3sS03g1-F_gSI5-OWdvsHAfsnGLdnPezusss05m7WuruqNLf70QUVidJBResQuoANaK75vQ5SNl6sctj9tM_PtNN85FDYW-Tlns2lQV4X0yf-Hlywo5lu50CU4MaW_of2MPbwF-b_QwmVJtS6ErO0MNgb8200dygNuPfgoEETSfSaeN2Zs0nzqxztGKlRrMhofxNrMqy6-dVwoH9Suo9VxsiYbkbf3YsuK1tE7Rxt6oQz5AXmgHklOnPIqYz9PaxPuE4s4G3YpiNQukIDu6EOfMchoNiQL9CYYkOSEOf-FIvtAnB1BdtHTdylysTtE2OswAspezO-tL0E_bwK4dNnS3x3Mx5OStat9JGcov_FbDgtVx5IcFVUcuYIjhLROvLlPOAUyquh659gqJNbHf_5W6bPOSetkk8ncS4Caw5OOVTIBEmNuUuvUcB0Tyjv72vtKu1hw-726NOwPwgTkkYUMIjiiiVmUxbTrd1g8T64JeBbgnosNqDUnXCyVQfvV7ir6NeG6i07ZKJRcI3bY42VoIrVi_8alecQPFdaIo1e8_BuUFAqtPAVe66oohqHiP0ciydkl-AspSVwASEztKQNjfpWknX6TM1GirHoB6rdWHPXyw4mqr82WLo6JQEVjC9oiID77Hq2oGVYgf_hJxmaniKfZ0sWu0LVUECyE2Nfs16tlJsRukRl401ZJOaTPkon-kpK-A3Wuu7bJ1dgutA8gIJcpXFvr9zDuc5bnpI32cN5-YzJp2QlNgrZ6SFEQw==\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Considering environment paths**\\n\\nI'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!\"}]}"},{"type":"toolCall","id":"call_ruZISmxVYUbjPr3Ke1vPPQlF|fc_0d852cbc8d6115830169fa036e61588194abeb7d27786fd7ae","name":"bash","arguments":{"command":"python3 /mnt/rpi/pi-config/scripts/session-memory-analyzer.py --job-file /mnt/rpi/pi-config/sessions/session-memory-jobs/20260505T143201664755Z.json","timeout":120}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":1055,"output":86,"cacheRead":92672,"cacheWrite":0,"totalTokens":93813,"cost":{"input":0.0026375,"output":0.0012900000000000001,"cacheRead":0.023167999999999998,"cacheWrite":0,"total":0.027095499999999998}},"stopReason":"toolUse","timestamp":1777992553409,"responseId":"resp_0d852cbc8d6115830169fa036a2400819485c5455b34f83342"}}
{"type":"message","id":"a1d5eb57","parentId":"18ea2ef0","timestamp":"2026-05-05T14:49:24.109Z","message":{"role":"toolResult","toolCallId":"call_ruZISmxVYUbjPr3Ke1vPPQlF|fc_0d852cbc8d6115830169fa036e61588194abeb7d27786fd7ae","toolName":"bash","content":[{"type":"text","text":"{\"status\": \"completed\", \"save\": null, \"memory_id\": \"mem_08b4efed55144d78af56bdd15821b61d\", \"error\": \"[Errno 2] No such file or directory: 'pi'\", \"raw\": \"{\\\"save\\\":true,\\\"type\\\":\\\"project\\\",\\\"subtype\\\":\\\"disk-space\\\",\\\"scope\\\":\\\"project\\\",\\\"title\\\":\\\"Root disk nearly full; /mnt/rpi has room and safe caches were moved there\\\",\\\"content\\\":\\\"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.\\\",\\\"source_ref\\\":\\\"/mnt/rpi/pi-config/sessions/--home-sebas--/2026-05-04T21-17-14-403Z_019df4da-3522-776c-986b-78e057101a55.jsonl\\\",\\\"evidence_ref\\\":\\\"last_assistant_text in session metadata; df/du results in branch excerpt\\\",\\\"confidence\\\":0.98,\\\"freshness\\\":0.99,\\\"importance\\\":0.88,\\\"reason\\\":\\\"Durable machine state and reusable remediation pattern for future low-space events.\\\"}\", \"result\": {\"save\": true, \"type\": \"project\", \"subtype\": \"disk-space\", \"scope\": \"project\", \"title\": \"Root disk nearly full; /mnt/rpi has room and safe caches were moved there\", \"content\": \"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.\", \"source_ref\": \"/mnt/rpi/pi-config/sessions/--home-sebas--/2026-05-04T21-17-14-403Z_019df4da-3522-776c-986b-78e057101a55.jsonl\", \"evidence_ref\": \"last_assistant_text in session metadata; df/du results in branch excerpt\", \"confidence\": 0.98, \"freshness\": 0.99, \"importance\": 0.88, \"reason\": \"Durable machine state and reusable remediation pattern for future low-space events.\"}, \"saved\": true}\n"}],"isError":false,"timestamp":1777992564109}}
{"type":"message","id":"2e0a81be","parentId":"a1d5eb57","timestamp":"2026-05-05T14:49:36.583Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_0d852cbc8d6115830169fa037617548194abc2815780d454b6\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-gN_jJ2OFZ33WGaxtSlgUQNzQ5eaQ1FkJyVq4vjwciR_LSvv7rTQiLHEpdzWICPtGSJjJGQbiJrVhzPQs6k_01mQlOWDhwzmFf16bbV5kipXcxVseJZtnHv2j2u2Q1vONYUdP0s2S4QOv07hVm_XPaPJoEIpC_1F3r2h5-J54NTW15UhC4UzuuW94vz_0ub2_WwEFIJp5G0Z1bYR1jnLZi0gfqyRYNPigru6a824OkAfyY9v6bkrwoiXKht8XbaAtjiqWEnjOanmOh7pxL2DfUFM1nC_8yHq2vQQLu0z5vrhds1AWRqD70rpYIxxIZM7eLfdJaEOueyFRgebaoBtfysBYBWp91qH1vnEBT2BNfRB2TDCayS_LM7xJU9rXMmyWg6bMgH9kaYsPJX5OSHp79MiNV5fQHOiQB5A8zpLEeLu-afyYLOD4eI_R3bCT0IP75sjqzdbrSCfyBdTBvXqCD3d6tjU3mWB2QKilbJPUdcq_KZxBigk43kCOmxNd9bVCpGbQ7MWYvRd6BCbQmZV1j1DX8h-ejVaN3jUVLpXD2SYg_f0aov3RTsUZEbkNQJA9aif1YHu2MO3OHafehHqsKwFN2HNZ2ukYYSMjpozTEgUnzgQBs8Lquz4jO7uWHgG9cSTJGbJ5jPj18pMbnADOV_ehw1KEBDjno1j1yti6W-WI0CRe03_-zXX3HvpaLcp1rtW64N77DR1DLmxa54E2JqrAYbJVjv_xm_uCtBtzF4jxgjB42ukJo7ldSTLuwkUa8WROeAzDy6tcsR-Hhe2IRHmKyNG3f6kbXmK70Qu1vPxGJ5xU5xy_QXi8lknazdzu0WMux1OMCXbz8bfgEXQzPeeRxquOAR3CQeRgDwoP-pC075vthUH2GZqpCBuwaW5zRqvtodoxMPt9wWnyQ_cDNAF4wigZSvby3b0m8YKprG62_Tkfjo8YtV1lVfzlDyQfFyEgbOONZe78NiFeoac_XgbNqYgi3eIQfaG1TXuymcI6PozOrZqwl5-RnutozYTogvQxJ3Q0QAsBuQAQVRxWiUBh-KIxJaZTRk5LhKCyEyoRe5Cdveixef5bNCy8x4wM9Na2duiKXTAnWxtjGezwR-dj7Df_PReZHtCimKQpE3BYfbpBmEBxs8_QcCQACWKspeDr6tI_tjv60M6XpUzT6if6goCjfVP_8iDXkroBzuzhov10MiBr2RLynyF9P1bhKN2Ox7y5AVEFZtWsejvIi6lYkcjIzyi1fGywJZdh-l9K15tCW3nXDvbR58wgxPfhMj1iqyk0fWBsnnF9c0izUFAjsxz99zVrqn2Ztd6LAF-2a1g8dGKEiCVHiwdk_LBsDx953F0tgjyyH2ieYXDu-Gepk1k9vyA5e42Ky-DTCFGo-w4m0MZUMVpA-1QacgD9Al8OW6jQv19AKRkzHogrghB0gxVEzyhc1WDqcGB-ChGV8xS0MIKA3lnwn341unYGKnjt9RCc14OogzAomtfcl3S13SHfpYo0_1DT2reLDSU1Y64LLKKhT9uI3RAhHXsryRU4yqej4CVjg56tDWe6fBW629o9Cj1GdyEDV3oEes-lPqoho_xUo734I3CbBJAWvcQC6GgCRh2ac9Zdw6GL7pRah7mE-SaqP2rc1LcYZNvrusf6h2rKXPK5eShPaN2CZrHPmIxkQbiVnJyQKJTsgOwbwKz3Izmb4wL5E84eqZ3zK56-qLHDKHj1abxl9AZTOG1_gSbHo3C2Wbx13RKrmfucnkHmhd9TmuqsS72YnycgKZ3TNDk48T5IInOlBMCuOeftAX5rqo4zIU1vEMrFdk02aXZmyqv1suI8BWDNCx4W4PZZ0b0ikfIGn5NS-0L2Eiw17t9bAWDvAk-mimMbXZYZ-VO_GFjp1gHCSj8f64a5Brn4rTaNShgXpy8_fylRl1tsyLSoI4r885opR4VU3E8KXEuUOyVUinEKegDB0bHKJPWqBT-iQo4hAR_3iFLivfyM-e50HsDXnICvQ8TrzmIWzLVhFKGgnN_7rRgUBhH39_G5ZoFb5gCH3cgSDzxdI_tJMo1jpvIbWT4hbrcRUvLqaKxEhOLnWU9BfN02-cFPi4wndBEeel-CS4qPJA8jxBVmAhp71v7er0g4tQke9aklKcdlMvCP58JyIjo7-cENYC-tuxHKP3YuJlKrlKtkTC7uFPYLpUK03nHtcUuanAcrn1c8o8_mctWgnElANNHkwLM3J6IZwfUvUBIBu8V2CKQeblc-XcvIi8Rx1QSlPzQZluAMGzgzl9KYCJup9O5tY4=\",\"summary\":[]}"},{"type":"toolCall","id":"call_LF3aehGHnpz0cQ6znHSDv4ym|fc_0d852cbc8d6115830169fa037fa854819492ca95f2e55823b8","name":"bash","arguments":{"command":"python3 - <<'PY'\nimport sqlite3, json\nconn=sqlite3.connect('/mnt/rpi/agents-database/data/shared-agent-memory.sqlite3')\nconn.row_factory=sqlite3.Row\nrow=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()\nprint(json.dumps(dict(row), ensure_ascii=False, indent=2))\nPY","timeout":15}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":1234,"output":335,"cacheRead":93184,"cacheWrite":0,"totalTokens":94753,"cost":{"input":0.003085,"output":0.005025,"cacheRead":0.023295999999999997,"cacheWrite":0,"total":0.031405999999999996}},"stopReason":"toolUse","timestamp":1777992564111,"responseId":"resp_0d852cbc8d6115830169fa03749d14819486af6e4b2503dc51"}}
{"type":"message","id":"8acc94bd","parentId":"2e0a81be","timestamp":"2026-05-05T14:49:36.626Z","message":{"role":"toolResult","toolCallId":"call_LF3aehGHnpz0cQ6znHSDv4ym|fc_0d852cbc8d6115830169fa037fa854819492ca95f2e55823b8","toolName":"bash","content":[{"type":"text","text":"{\n  \"id\": \"mem_08b4efed55144d78af56bdd15821b61d\",\n  \"type\": \"project\",\n  \"subtype\": \"disk-space\",\n  \"status\": \"active\",\n  \"source_kind\": \"manual\",\n  \"title\": \"Root disk nearly full; /mnt/rpi has room and safe caches were moved there\",\n  \"origin_agent\": \"pi-session-memory-analyzer\",\n  \"source_ref\": \"/mnt/rpi/pi-config/sessions/--home-sebas--/2026-05-04T21-17-14-403Z_019df4da-3522-776c-986b-78e057101a55.jsonl\",\n  \"created_at\": \"2026-05-05T14:49:24.000542+00:00\",\n  \"metadata_json\": \"{\\\"analysis_reason\\\": \\\"Durable machine state and reusable remediation pattern for future low-space events.\\\", \\\"assistant_messages\\\": 15, \\\"cwd\\\": \\\"/home/sebas\\\", \\\"job_file\\\": \\\"/mnt/rpi/pi-config/sessions/session-memory-jobs/20260505T143201664755Z.json\\\", \\\"promotion_candidate\\\": true, \\\"reason\\\": \\\"before_switch:resume\\\", \\\"session_file\\\": \\\"/mnt/rpi/pi-config/sessions/--home-sebas--/2026-05-04T21-17-14-403Z_019df4da-3522-776c-986b-78e057101a55.jsonl\\\", \\\"session_id\\\": \\\"999aa631\\\", \\\"trigger\\\": \\\"session-memory-dispatcher\\\", \\\"user_messages\\\": 4}\"\n}\n"}],"isError":false,"timestamp":1777992576625}}
{"type":"message","id":"0a5ed7d7","parentId":"8acc94bd","timestamp":"2026-05-05T14:49:44.308Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Troubleshooting errors**\n\nI 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!","thinkingSignature":"{\"id\":\"rs_0d852cbc8d6115830169fa038274f48194bca26562e1096627\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-gOHCLIRuPw5kXmx8XC1M_iMTJDzkspwbLjcNc71DCOH9YLjdU3fO0RxxF2GBDooS0vekminB-A6MRgiWyYk2F6P3PyMolEc_F5bx14uZ_i_bnlmekz7EJJKQYeNgit2svXn-ndOGQMayiVtVqL1LQanlXF7cJuHy7GlWdfWYmdQwjFw5NzBoV4bw-ExF81klIAAF-fSPVpR6jiINfCgQGYzYUnrJSUxKvA0lGer-5Gl8KVrzhNDkQFp1XNFnqqtsOCslQrBjrxBNO8pqi5tUjX5nkzfUY7y1nZmbETEiIBZqApIXnMoUAK59-FWWSy7BBuDReaCt3zhkoL4Mf_IvknyEK_gAMNvgh_7eE9Hndv_fbMco2MTNNR1RXeAZ0ExDBofuiTEI4FfgiNTupuM_yCquc90nIADEZbdNa_qmp5c0AB_FGnjF4cI_F1jyCCl-QSjCn2gokbCGEN9MbElvLT_guTA46d41WxrURXzMXBfSfYvscW61l1hu7_2DSAnJY7H2mnIyvOS29eSKv1rQn2v8QiJ9pw49K6bqhAHTNN3zAotCNTp6rKA_4kGImcrPcJU1zWgipFZh8ny7L3_qBNwsKLgfV9DcpQcbQk5FFdSmN47RWOE8-sKpg_y6W6i2vPyRO_TbxxmnLAVA5Cue-RC-0QlPuWWR5O8Na15NFoyPzokW7s4Sd3ylD5lIdpwAOgy2hVTktqaCGP2zH3deDcfVZ-HPup_9N8KNTqhD4mtUOL-Q_58aPYxTfmrWnE7FFhQFsfere8TzayEEuycowhNJxid-324x4_5cqaaB8NC4yXJ7zn7JZ7WFnWSi6hG9wG3VA4f0DxPMuhtNrTivgfnSo6ojMm1WnFKTripKpv2I2HHQgaJ5bOcZJ281EyX_dfh0e_JFzN-IxDmIwWStfNFQcaFdE5kd-Fwc9WAU-bJLll1pfI5ATap6DK-SkvPhNiHVzm4T6vKLUE77X7Eiei-Md22GtmoMHM_Yn2e5qILtrAbxoheVcvQHFq1KoqiJoEqKvSMTzwWZjp9lM-Lm4k-08xFnSb3U56cD96-aOTLQ-Spwe9ipjqUm-3BFycOwQGUWd8wDb0v9ile_-yOyep-5CH7jAdY0Vc6qVFUdMNZ7o9BXisi-wzbnn9S4BqCexyg3UPBUgxpHmH1NVGWEJh8E3dR5KsP398o5CuUm1Di3l4=\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Troubleshooting errors**\\n\\nI 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!\"}]}"},{"type":"toolCall","id":"call_GQuO8ETQu8VEqNq4nWofD4em|fc_0d852cbc8d6115830169fa0387b8e8819495941add816a2d42","name":"edit","arguments":{"path":"/mnt/rpi/pi-config/scripts/session-memory-analyzer.py","edits":[{"oldText":"    job = load_job(job_file)\n    meta = session_meta(job)\n    job.setdefault(\"analysis\", {})\n    job[\"analysis\"][\"status\"] = \"running\"\n    save_job(job_file, job)\n","newText":"    job = load_job(job_file)\n    meta = session_meta(job)\n    job[\"analysis\"] = {\n        \"status\": \"running\",\n        \"save\": None,\n        \"memory_id\": None,\n    }\n    save_job(job_file, job)\n"}]}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":904,"output":194,"cacheRead":94208,"cacheWrite":0,"totalTokens":95306,"cost":{"input":0.0022600000000000003,"output":0.0029100000000000003,"cacheRead":0.023552,"cacheWrite":0,"total":0.028722}},"stopReason":"toolUse","timestamp":1777992576627,"responseId":"resp_0d852cbc8d6115830169fa03812ee481948b14ad8d85a903a1"}}
{"type":"message","id":"49994535","parentId":"0a5ed7d7","timestamp":"2026-05-05T14:49:44.313Z","message":{"role":"toolResult","toolCallId":"call_GQuO8ETQu8VEqNq4nWofD4em|fc_0d852cbc8d6115830169fa0387b8e8819495941add816a2d42","toolName":"edit","content":[{"type":"text","text":"Successfully replaced 1 block(s) in /mnt/rpi/pi-config/scripts/session-memory-analyzer.py."}],"details":{"diff":"     ...\n 150 \n 151     job_file = Path(args.job_file)\n 152     job = load_job(job_file)\n 153     meta = session_meta(job)\n-154     job.setdefault(\"analysis\", {})\n-155     job[\"analysis\"][\"status\"] = \"running\"\n+154     job[\"analysis\"] = {\n+155         \"status\": \"running\",\n+156         \"save\": None,\n+157         \"memory_id\": None,\n+158     }\n 156     save_job(job_file, job)\n 157 \n 158     try:\n 159         raw = call_pi(build_prompt(job))\n     ...","firstChangedLine":154},"isError":false,"timestamp":1777992584313}}
{"type":"message","id":"1d5a9d63","parentId":"49994535","timestamp":"2026-05-05T14:49:49.896Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Ensuring job continuity**\n\nI 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!","thinkingSignature":"{\"id\":\"rs_0d852cbc8d6115830169fa038a8ec08194aa9eb0f7d50c78bc\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-gONxdGw50rm6x_xugDRFSMzIr_mBIayc9Ng7qnHUcqH_QO8Hzo3e6w60jMGwebDsTAsySoezoryOgr1b5BEBOSiITFlVUoO3DbGiJJZVO4PiuMMiUkrtK4WEyBBOp-xtpJ9fOpSSzSg5rfhtyuKzRB2H_hxpHTvbnzD78tFNXi87mqgEBzdCnbek48gd3qq7V7M0Rb0k5HijJetOMJOR-T-72iVqxFTf9dW4GLVnzF1HJatOxfAIaJN9kn0dzqSpk8k-tsDW3GA1uRPTWQmsAweE2XPYK8_fcAACYZAanEGh5cn211eu3utds64VvgtAyTtXsCvP-RoIpFe9Mjqu9_aStbU3_QYfyaAXkmn21-tt-JqIrGVvIz_LNGWoDMcrzhJFC_xHT_ZtJuQ5-qE1uRnXgo3bgRBLhR84z4V7vTeWm9ytKDC9tHYcYPVf-A96FvMxWnuD9AoSQqCqSa6yKk4RN9n-Ni2THd5-16H0mzP3PYj_haS4zjy1LDvs7afeH7S_KUhPISM0JH-TcyMcEdZchpEdhhpKHihJhPaYTShCKBnRnPYeaO5x_RPXoo80f8wduIV9vua_Xn3o-mqsvZ5oetVqvmNxM9xpLz5-DtreY3YsdqAJ7Q3ws8B9I-TW0VJ8OgcFb7qtSJ3FbPm_XpPDevWs5Xv3Q_Hcw5Fh69Gc5XddnQKxkneMpKkUuhU2G5gvwtfw6ZFP4C3bz1WYpLHSDeORjr44kXTzRp0HhaExfr5X5li8YDaXJN8kkCjR1AtAHzuhwP6kC8rIZc--ICWJ0ufwnsDNa32ytw4z-M8XrqTndPuwnhSe5hvZPl4RbQht3_Dam0pGg2szWTutNILQuFTuH5X3soqnX7mvP8MUc8coS2cvEfj4PvOWG4YGRgc94rJ079ouUE-_fZ1sOBxBy4-Ux5zo9FXNBn4vposvXSWFExPmI2kWzpnrioH1KU9Dca4F6G-fBVIRZiiutzXSg6sEUUCI4QpkdtviqoMzT_BNUrCYoptT3-nUay23q6-Njt9ucUk6dEWJR9KLcaw_QJ3ktGHwPY7NNo-4mLQfNw_1CHJnvJll906MhbHDURqUehIFdEUneBwQCZz407Ye8z7gqtmmv_6Xq7RdtgjEJWfLGqy3SaUC9zNqqlsQwbRNx8x-IzzD-o0dEOJnI6Swx2Zsk6PRDei7T_PqeUiTIYC3I8ubOAP1wndAt2FQ5LKAsoEW2i-Sg7PxYvgKkkLcg==\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Ensuring job continuity**\\n\\nI 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!\"}]}"},{"type":"toolCall","id":"call_KThaLsngwcpKDaQCoNAYxynO|fc_0d852cbc8d6115830169fa038d74b8819495581af320557645","name":"bash","arguments":{"command":"python3 /mnt/rpi/pi-config/scripts/session-memory-analyzer.py --job-file /mnt/rpi/pi-config/sessions/session-memory-jobs/20260505T134438583726Z.json","timeout":120}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":617,"output":112,"cacheRead":94720,"cacheWrite":0,"totalTokens":95449,"cost":{"input":0.0015425,"output":0.00168,"cacheRead":0.02368,"cacheWrite":0,"total":0.0269025}},"stopReason":"toolUse","timestamp":1777992584315,"responseId":"resp_0d852cbc8d6115830169fa0388dad48194a4d6e7b37b81979b"}}
{"type":"message","id":"0e57683d","parentId":"1d5a9d63","timestamp":"2026-05-05T14:49:55.533Z","message":{"role":"toolResult","toolCallId":"call_KThaLsngwcpKDaQCoNAYxynO|fc_0d852cbc8d6115830169fa038d74b8819495581af320557645","toolName":"bash","content":[{"type":"text","text":"{\"status\": \"completed\", \"save\": null, \"memory_id\": \"mem_b161e2e3072a49099cabb17193a4fb15\", \"raw\": \"{\\\"save\\\":true,\\\"type\\\":\\\"decision\\\",\\\"subtype\\\":\\\"server_ssh_idle_timeout\\\",\\\"scope\\\":\\\"global\\\",\\\"title\\\":\\\"Server-side SSH idle timeout set to 4h\\\",\\\"content\\\":\\\"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.\\\",\\\"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\\\":\\\"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'\\\",\\\"confidence\\\":0.99,\\\"freshness\\\":0.99,\\\"importance\\\":0.76,\\\"reason\\\":\\\"Durable server config decision with clear future reuse across unrelated SSH sessions.\\\"}\", \"result\": {\"save\": true, \"type\": \"decision\", \"subtype\": \"server_ssh_idle_timeout\", \"scope\": \"global\", \"title\": \"Server-side SSH idle timeout set to 4h\", \"content\": \"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.\", \"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\": \"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'\", \"confidence\": 0.99, \"freshness\": 0.99, \"importance\": 0.76, \"reason\": \"Durable server config decision with clear future reuse across unrelated SSH sessions.\"}, \"saved\": true}\n"}],"isError":false,"timestamp":1777992595533}}
{"type":"message","id":"7a38ec22","parentId":"0e57683d","timestamp":"2026-05-05T14:50:03.654Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Clarifying pipeline updates**\n\nI 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!","thinkingSignature":"{\"id\":\"rs_0d852cbc8d6115830169fa039634148194bdc8a2a263186cdf\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-gObeVbN7KTPcm7r4NuZ4Gm8NLTUNOdlayZb8UR9yIuTQ8gsYbPfmB1P10SVh3qG-k4nRZjvAkI_fO8tL8eBZ6qXHBiMlCUnpjUPW1u9JbF7ZafhV00Rbnz-LqOzC02buA8fWPL7qtHe3py-TkfVmQQyniUUJXoFoIqNx-ABDtdvAXfIZBjbDyBWuWaoSrXpXyf84zLSkZOu3J1zta5F2dTMmqA-ehXY7YKMPUqHBmLa0GmNN4EUkZH6DyccTNf2JAVAokpOe2D-FEm8ch4WCeu_LlgzuH9JwD4NpS650xkw41byebfaxW8Q-PNP0ytJQx01AHPz0qR_hcErYEaXula_A1WUypIMlBuyRYKVzWDm6NLP27TtS1xkQ17N-sr4PAu_sVuixMWdvP6Vagid-9cxIOOQtNzY2nhB3HGtkrblmWaZ6hT1pQ9CF3u7mrDrO6ltqm1KF0OyXYGBcWqMv65Cl0sD7Qid0cK541FHjRe8gOAOoswaHeo7gHEUKwV6592w19tjeP11fFO2-Tz8Tr2TsulZMakXEZu7QqyZgeVSeuFi9B1Duj5P1G6jqaBe3NUxHUhG-m9T88irqqsndSP4oPlOuxWAopLGMHdt8ZiCZR3Xzlp4VXxZNEw-yBSP3ey0Y3avmg00ORbry1v1ZmWWcg9EybQdN0RVZmXhwbZl_-a0YsgYp5J4lg5lTFaZDGBVS5eGbqHZeyNM32Vz6T2eO6JDacN8AmrwaQvv9X93v5FaokQUMrrobhKrBqoNzyVeXgzo6RIWp3Hz5An_YULH-mMWthkkk99NqA3v1eIaDINMwnFGABi1w8Vm0k4XF-wyWm0shV088OzCirVBItH216ZLvrj_LW9_4MAbQy9meJHD5vWCrOJFoisv-EaRCO8-qCIXprSmjQG7elOcBgoBv7Q9d0U4TYOnsdYEduoLyPKPUvEGHa7YB5lNHuq-BYR04r3_8A9nYOtW9uBRKdMCYjX4reilowZ1QY1lQYcBuofB44Xr3f5U3mPMko2v7Pv6W1RQCYS7I6Ox01PVMNCu2_f5YDfPKaerjzq21MxnWjrb9tET-QgRo3eH2J-N7ZDun2iVhZ-jyUjSt9npIWNGOLTXzkIJSRUPMJnd0n-xxqllxmXe92BJkzebjerCfMKCquwTDlcWPqd-tEQP63qPdTWjeccvgoArLsR-RkQZb5onPZ1dWhV3c3I2Na9j_Squluk_EcPNcpWLjb0zpB00MUhrSovsM9DGs_qvTro_DAvH-zkTBTPbh973WLjw5YMTOUAr1annHA-KXFu3AeeVhz_4xuDjf-2CM652hMCYdbbZZ8Uij_2yRhG3j_pBZ4TxjUShq312_cf0wsC3poHe2rH_D8VNEDU7otPghl45gXQ=\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Clarifying pipeline updates**\\n\\nI 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!\"}]}"},{"type":"toolCall","id":"call_U5jUa2IclBBC1hytTE39nQO6|fc_0d852cbc8d6115830169fa039b33d881949226c81c67c50e83","name":"todo","arguments":{"action":"update","id":1,"description":"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.","status":"in_progress"}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":892,"output":162,"cacheRead":95232,"cacheWrite":0,"totalTokens":96286,"cost":{"input":0.00223,"output":0.00243,"cacheRead":0.023808,"cacheWrite":0,"total":0.028468}},"stopReason":"toolUse","timestamp":1777992595535,"responseId":"resp_0d852cbc8d6115830169fa0394173c8194b4ef7851460048ff"}}
{"type":"message","id":"b73abc2b","parentId":"7a38ec22","timestamp":"2026-05-05T14:50:03.655Z","message":{"role":"toolResult","toolCallId":"call_U5jUa2IclBBC1hytTE39nQO6|fc_0d852cbc8d6115830169fa039b33d881949226c81c67c50e83","toolName":"todo","content":[{"type":"text","text":"Updated #1"}],"details":{"action":"update","params":{"action":"update","id":1,"description":"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.","status":"in_progress"},"tasks":[{"id":1,"subject":"Debug missing session-close memory capture pipeline","status":"in_progress","description":"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.","activeForm":"debugging session-close memory capture"}],"nextId":2},"isError":false,"timestamp":1777992603655}}
{"type":"message","id":"53633a7d","parentId":"b73abc2b","timestamp":"2026-05-05T14:50:20.163Z","message":{"role":"assistant","content":[{"type":"text","text":"Found it.\n\nRoot cause:\n- session close hook **was firing**\n- dispatcher **was receiving jobs**\n- analyzer was **failing before ingest**\n- failure: `No such file or directory: 'pi'`\n\nSo:\n- not a DB problem\n- not a hook problem\n- not a timing problem\n- analyzer subprocess had no usable `pi` binary in its env/path\n\nEvidence:\n- jobs existed in `/mnt/rpi/pi-config/sessions/session-memory-jobs/`\n- recent jobs had:\n  - `trigger=session-memory-dispatcher`\n  - `reason=before_switch:*`\n  - `analysis.status=failed`\n  - `error=\"[Errno 2] No such file or directory: 'pi'\"`\n\nFix applied:\n- patched `scripts/session-memory-analyzer.py`\n- it now resolves `pi` robustly via:\n  - explicit env override\n  - `shutil.which(\"pi\")`\n  - `~/.npm-global/bin/pi`\n  - common fallback paths\n- also patched it to reset stale `analysis` state on rerun\n\nValidation:\n- replayed failed jobs manually\n- both now completed and saved memories\n\nCreated:\n- `mem_08b4efed55144d78af56bdd15821b61d`\n- `mem_b161e2e3072a49099cabb17193a4fb15`\n\nImportant nuance:\n- this session-close system is **not** using `capture_session()` / `sources` / `ingestion_events`\n- it uses:\n  - hook → dispatcher job file → analyzer → direct `POST /api/ingest`\n- so your earlier “pipeline not working” diagnosis was only true for the canonical capture pipeline, not for this newer dispatcher/analyzer path\n- the newer path existed, but was broken at analyzer execution\n\nNext:\n- close/switch one more session now\n- then I’ll verify fresh end-to-end success without manual replay\n\nOptional hardening after that:\n- set `PI_SESSION_MEMORY_PI_BIN=/home/sebas/.npm-global/bin/pi` in the dispatcher service too\n- add lightweight logging for analyzer failures","textSignature":"{\"v\":1,\"id\":\"msg_0d852cbc8d6115830169fa039e21f88194a8738cfd7e2cca42\",\"phase\":\"final_answer\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":555,"output":442,"cacheRead":95744,"cacheWrite":0,"totalTokens":96741,"cost":{"input":0.0013875,"output":0.0066300000000000005,"cacheRead":0.023936,"cacheWrite":0,"total":0.031953499999999996}},"stopReason":"stop","timestamp":1777992603657,"responseId":"resp_0d852cbc8d6115830169fa039c36f4819483af2c2f2df6aae2"}}
{"type":"message","id":"ac671042","parentId":"53633a7d","timestamp":"2026-05-05T15:07:41.874Z","message":{"role":"user","content":[{"type":"text","text":"it uses a cheap model right?"}],"timestamp":1777993661862}}
{"type":"message","id":"7189cf07","parentId":"ac671042","timestamp":"2026-05-05T15:07:46.622Z","message":{"role":"assistant","content":[{"type":"text","text":"Yes.\n\nCurrent analyzer defaults:\n- provider: `openai-codex`\n- model: `gpt-5.4-mini`\n- thinking: `off`\n\nFrom `scripts/session-memory-analyzer.py`:\n- `PI_SESSION_MEMORY_MODEL` default = `gpt-5.4-mini`\n- `PI_SESSION_MEMORY_THINKING` default = `off`\n\nSo it is set to a cheap path by default.\n\nIf you want, I can also verify the actual runtime env for the dispatcher/analyzer process, but code default is already cheap.","textSignature":"{\"v\":1,\"id\":\"msg_0d852cbc8d6115830169fa07c02b6881949012dc284ddc2bc3\",\"phase\":\"final_answer\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":39711,"output":117,"cacheRead":56320,"cacheWrite":0,"totalTokens":96148,"cost":{"input":0.0992775,"output":0.001755,"cacheRead":0.014079999999999999,"cacheWrite":0,"total":0.1151125}},"stopReason":"stop","timestamp":1777993661865,"responseId":"resp_0d852cbc8d6115830169fa07bec91c81948b58720bac840edf"}}
{"type":"message","id":"65e25dfa","parentId":"7189cf07","timestamp":"2026-05-05T15:08:08.721Z","message":{"role":"user","content":[{"type":"text","text":"and fix if reboot persistant?"}],"timestamp":1777993688710}}
{"type":"message","id":"94ee7253","parentId":"65e25dfa","timestamp":"2026-05-05T15:08:19.747Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Seeking concise clarity**\n\nI 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!","thinkingSignature":"{\"id\":\"rs_0d852cbc8d6115830169fa07dd4dd881949f7035a3555f5ff9\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-gfiUg4zO3PaWhJH6zzPgcGh0VGU3D3IrmdRw3D_S6sh2zCFYYcVdSpz1lrEPg67tK0vkSunmo5nTgFignCflArHT34T2ZYMBkSMZjvlMZZ5Xf0RMR3hxgcu9C8LY4luP-W46uupdX0GXnRarFwK2jp3iRQxVLc4mUN6eBA4-G0eohkNxXd8hj6dyRXLP2aC6cD0lTO64qFIfZ8Yz7A8K2wb46b9ep--r6OCNZAStcYeY-uizRjpc3ZtBkqJ3TQHAqIcwrERXQE_c3ZgJBoUnwW4e61URZ1PiFIen0mUCjBSl2uEkCSoO9Dsp2uw8f6cpqzXT8CvrQD7kXqt-TOTJlijGZFs37Lx0A_ovlnPu3n11F4tVCOslvWtH9pZUa4d-wQeN_YAZzLHLersL_B7ENaHpfbuRfp-FM_iDBrL37ktiSlZEx9cAYXuto9RlFI6aAQrMCVXugzW882ALZoQMRyn0MCHEypZDjcHQxL5ow1P47SXLAeidJav03RyV0S-BAwwTgmHBAgIGvHQOp1Z6gxiE0Tw1ygK6VZsT3Nz1CSW1L0C77pk8mylAU2GbrEAYAHkOPCvonjqP-NUQHt2kE7vbnkTyJIx9Xq08X1U8JzCogcrJJl19EreGDlPAiCvXi2MW6I7ATvxYJUuDKJ3TYbwjQ9Z7XxqCLa5kgqjWmgJfAdCI63TUDlWR6qew5B3SaXJa3BF0U19DIEFLR6F7IkkzAzh5fDcrat44aa-j8aOkgsbPtnkVINcd5zzV_c19Z0g0RO-WO91MnZq_3GcMWrrC4_JEpy8Ilt55sbElEv0Q3jLZwRNRMM4pqakbc3jOXX6vc-gdWp7NVLhExyvkiazdCE5DA5GqaVrNgoKbJ3m2M9a2L6Rdc24wICqYI3MFGP-jCO3YlwhiqQvv6Q0Ssvzhryx3Ql2-7cDR9c8eV29mUzmJTo7Mnm4P7vgzhauhYQhmq4rDshdTqRs8pRgD3TNJl6im9cRlkZio4KLYIn9UqLqAkdFD-zIwIyXXvVDsf1OlKEx1ocYxLoCqz6T335Xo337kbnl51-KoerHajW-uzhMwe3usy5pCcwBdAaJbE-lRWHyoKlhPHPY64_1RKqJGXsMJqdx7eVvjYU-nQYJWh5D3a7EH8vh6bA3MrXhvYh2t5UhikyGvWU1D5O3Ymn25YbHha3FD7oWsx_3jCtAhGvNfVtylo-eaFO6iemCRpZTnHPLwL4tOqs8dvZOe7jayw==\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Seeking concise clarity**\\n\\nI 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!\"}]}"},{"type":"text","text":"Yes, should persist across reboot.\n\nWhy:\n- fix is in repo code: `/mnt/rpi/pi-config/scripts/session-memory-analyzer.py`\n- dispatcher already runs that script from this path\n- on reboot, same dispatcher service/script will launch\n- analyzer now resolves `pi` by absolute/fallback paths, so it no longer depends on fragile inherited `PATH`\n\nSo this is not just a live-process tweak.\n\nStill worth hardening:\n- add `PI_SESSION_MEMORY_PI_BIN=/home/sebas/.npm-global/bin/pi` to the dispatcher service env\n- optional, not required now\n\nIf you want, I can add that too for belt-and-suspenders.","textSignature":"{\"v\":1,\"id\":\"msg_0d852cbc8d6115830169fa07e220588194817c51415b4a5f46\",\"phase\":\"final_answer\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":417,"output":189,"cacheRead":95744,"cacheWrite":0,"totalTokens":96350,"cost":{"input":0.0010425,"output":0.0028350000000000003,"cacheRead":0.023936,"cacheWrite":0,"total":0.027813499999999998}},"stopReason":"stop","timestamp":1777993688712,"responseId":"resp_0d852cbc8d6115830169fa07d9709c8194b56b626c62a1f22f"}}
{"type":"message","id":"8e2a655c","parentId":"94ee7253","timestamp":"2026-05-05T15:08:33.284Z","message":{"role":"user","content":[{"type":"text","text":"can you manually trigger for the last 10 sessions?"}],"timestamp":1777993713275}}
{"type":"message","id":"510d441b","parentId":"8e2a655c","timestamp":"2026-05-05T15:08:47.398Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Planning session analysis**\n\nI 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!","thinkingSignature":"{\"id\":\"rs_0d852cbc8d6115830169fa07f36e248194a8600ee94181478c\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-gf7UszOw5P0MYJ1knJ7auDSVYxp6d4tQbYUzDRg0O6WDrBYXoreHJYOOAfCOiNN8rmPGOrH2rGrnh_Zlwl5YrGYSdoyk_yjloyXGF7M9utTcPdJt32KkstnXjC6GCmjyrJu0TYlSG0RgK_JVObPo9Dax12mqq-Qaw_c34zgOWVUYsILnWR1Tx02yCTOmXN0_N4TPSnoM16UjdqXpGq8rynMi-Ynzw_2Ajn1yjr36vVuREQdbRLIfsM5jQiS9kV7aDi09il77zcXnso2XcjGtPMt3nShngYAxp54XqI5HVhoK7Q9urVfvr7ZaKs2wAQLKFYipfBCch0kQ4aAmlfq2-MykELSCs0DkBCwSZYPaXHBOm2B6C_pr7VHoUGxl57eON9eQQqpeXtonn_AKkTTBIHBIgpHnxKjO7tvgwnhYYNL5DUry8ZHAfJOgZ4ocyvDIej3ASQLL3iTvmNb80IKukz664Vo6rMf0gakS7HbtK8IYp6Xu4xhI1Exbv-OOBIRQNHgXocWr1qVoCaosFNYxs5l0ZzOy_GENXVB89cLtfjlGpNg_pESwgI8_nFOpP-uVt6oQHzHPhNobol5jo1Xg79fOTOMdzH1SVHDQO9n2k5PhtRHn-ghr47gvulwPU7NO4b7h85f7RUfGIuBGKKKplqzdPXkoBZz3_BF99MJchUsrNbW4HP23hBt5VKeHHmD07oYfDEy20ojvWkguENIJPUh_vfamxTLLeY2hBVO7NBRtpkoyEIzh2PCwJqI3pV3s-59hVHkJ-dJUaXINIWEPLlU64crqiyLg4dDUkxcQl1vMNJMz27g8Oc8b4XJviBWgXejm9fGKNtIwH5HA06gk2LWG-bY3Zi-M8xx7ZO0g09S-OiypQnmoZbUEVtr4N_iDnygWuJ7pCJRiCDASPAICJffQ7lYul3WW_az-SXDTjsVFk0VFgHWILT0SYusSyUvwQzKvs7hnh9pjNeVq2jl5qwxqjaFuI_pxcij7m0q0pZ-Wkk-LhVxP3d5ImeYRif1U1ZarDSW3WgfuP8sSAf27cFkaOJ3GGyPpHUGUZIK_Bh2cM6rvJ8HfC_TIoh0nkCIdKAjPP0NcEsCOjFG9djKAUAOrOIA88cB2XW9CD0H7P8VhZBFjpYrDHy7tS24TGB7jsI0rf03W_U3atDl-Ur8s6raBKVUfIHiZhCbQPUtrULFnjA2vIKLTqkSbmX0Q5cun5QWNKB_uKooUBPeauR67EYopXuHRPGmk4UIUFrBkpMNHhZwyQmx6PgbkwYCxAnd-bKwyvKIt3p79EJGKAr7D-IlhfmR3dFqOettlylHcj29gC_mnYFIgTYPX2YyegNWWWuvSBo94KBu7oV4JMYeOFPVk15RJ0VWF5RNfYk44ouYSvyQgY3PW-GkSgUgvx45hKPMnKsZn2jPp_twSzrZgDorVzx1jjizm444ln415_MWfppO4F_Kw7YHKe_lSzvmr6WdYelMKxJj8JWn34Fd586S1z5p4uEt6AtJgNhrdfOiohor5D15lEFEd0TFSpqoQaxazUCpkmBJBEt2eN-7uiOQeVFCJFPaQZacq_5MNsJfit4erDBRRGPtCmjNq8rH2GVK3nqUI6ccApDolCrPWaAr1yAjaCScPIAA5MErxrrbBwGOHbP4GY0VNPXdLY1EyO8E\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Planning session analysis**\\n\\nI 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!\"}]}"},{"type":"toolCall","id":"call_GvQX35ibkEZRdyW0dq9G8tWI|fc_0d852cbc8d6115830169fa07fb7a8481949c692a996d06da5c","name":"bash","arguments":{"command":"python3 - <<'PY'\nimport json, subprocess, sys\nfrom pathlib import Path\nbase = Path('/mnt/rpi/pi-config/sessions/session-memory-jobs')\nfiles = 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]\nprint('TARGETS')\nfor p in files:\n    data = json.loads(p.read_text())\n    a = data.get('analysis', {})\n    print(json.dumps({\n        'file': p.name,\n        'status': a.get('status'),\n        'saved': a.get('saved'),\n        'memory_id': a.get('memory_id'),\n        'reason': data.get('payload', {}).get('reason'),\n    }))\nprint('RUN')\nfor p in files:\n    print(f'==> {p.name}')\n    proc = subprocess.run(['python3', '/mnt/rpi/pi-config/scripts/session-memory-analyzer.py', '--job-file', str(p)], capture_output=True, text=True)\n    print('rc=', proc.returncode)\n    out = (proc.stdout or proc.stderr).strip()\n    print(out[:4000])\nPY","timeout":1200}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":574,"output":434,"cacheRead":95744,"cacheWrite":0,"totalTokens":96752,"cost":{"input":0.001435,"output":0.00651,"cacheRead":0.023936,"cacheWrite":0,"total":0.031881}},"stopReason":"toolUse","timestamp":1777993713277,"responseId":"resp_0d852cbc8d6115830169fa07f2014c819491f2987017be00e5"}}
{"type":"message","id":"4499b9a6","parentId":"510d441b","timestamp":"2026-05-05T15:09:51.071Z","message":{"role":"toolResult","toolCallId":"call_GvQX35ibkEZRdyW0dq9G8tWI|fc_0d852cbc8d6115830169fa07fb7a8481949c692a996d06da5c","toolName":"bash","content":[{"type":"text","text":"TARGETS\n{\"file\": \"20260505T134438583726Z.json\", \"status\": \"completed\", \"saved\": true, \"memory_id\": \"mem_b161e2e3072a49099cabb17193a4fb15\", \"reason\": \"before_switch:new\"}\n{\"file\": \"20260505T143201664755Z.json\", \"status\": \"completed\", \"saved\": true, \"memory_id\": \"mem_08b4efed55144d78af56bdd15821b61d\", \"reason\": \"before_switch:resume\"}\n{\"file\": \"20260501T194747970340Z.json\", \"status\": \"failed\", \"saved\": null, \"memory_id\": null, \"reason\": \"before_switch:new\"}\n{\"file\": \"20260501T044724939741Z.json\", \"status\": \"failed\", \"saved\": null, \"memory_id\": null, \"reason\": \"before_switch:new\"}\n{\"file\": \"20260501T044435783880Z.json\", \"status\": \"failed\", \"saved\": null, \"memory_id\": null, \"reason\": \"before_switch:new\"}\n{\"file\": \"20260501T035247390123Z.json\", \"status\": \"failed\", \"saved\": null, \"memory_id\": null, \"reason\": \"before_switch:resume\"}\n{\"file\": \"20260501T033642290422Z.json\", \"status\": \"failed\", \"saved\": null, \"memory_id\": null, \"reason\": \"before_switch:new\"}\n{\"file\": \"20260423T191132397823Z.json\", \"status\": \"failed\", \"saved\": null, \"memory_id\": null, \"reason\": \"before_switch:new\"}\n{\"file\": \"20260423T133840452732Z.json\", \"status\": \"completed\", \"saved\": false, \"memory_id\": null, \"reason\": \"before_switch:new\"}\n{\"file\": \"20260422T164407751383Z.json\", \"status\": \"completed\", \"saved\": false, \"memory_id\": null, \"reason\": \"before_switch:new\"}\nRUN\n==> 20260505T134438583726Z.json\nrc= 0\n{\"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}\n==> 20260505T143201664755Z.json\nrc= 0\n{\"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}\n==> 20260501T194747970340Z.json\nrc= 0\n{\"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}\n==> 20260501T044724939741Z.json\nrc= 0\n{\"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}\n==> 20260501T044435783880Z.json\nrc= 0\n{\"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}\n==> 20260501T035247390123Z.json\nrc= 0\n{\"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}\n==> 20260501T033642290422Z.json\nrc= 0\n{\"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}\n==> 20260423T191132397823Z.json\nrc= 0\n{\"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}\n==> 20260423T133840452732Z.json\nrc= 0\n{\"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}\n==> 20260422T164407751383Z.json\nrc= 0\n{\"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}\n"}],"isError":false,"timestamp":1777993791069}}
{"type":"message","id":"1700beab","parentId":"4499b9a6","timestamp":"2026-05-05T15:09:51.082Z","message":{"role":"user","content":[{"type":"text","text":"and yeah harden like you suggested"}],"timestamp":1777993735573}}
{"type":"message","id":"f358c3b0","parentId":"1700beab","timestamp":"2026-05-05T15:09:58.957Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Evaluating service setup**\n\nI 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!","thinkingSignature":"{\"id\":\"rs_0d852cbc8d6115830169fa084287ac81948d89a24ae7e430f0\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-ghGC9c1hWFO6XzS_qw1zSUgEbhZTXrIKpbpKPQnZUbfXUx97NjTUPjCvtmRmvU637RpTgzH7_WFca9JQTk7ypjIBY_DoyEclGvaSwumVdky9DcjgHdj514cTuzLM7e-qdwW26UM9TecQVBk8slh5vkRQKR9q8idmzZA9fI843emTbxvdBO_Jq2Y03SKFN1JMcGZXy0UyrABDHLRmUgeFKkXz-LmCqztf5cI_lq97XP6a-FVynrxwuQrT4eUit21FdMAGIMgjnnQC3jIcDUQpDUqR9ZoPt4yFIKLcI-jzA5qJMuW1FafxP_IgIIPrj2vdMrG5hVgWCsjxqLTq_KRdC0dwMH15VbJlRf12Vy2dutwDFkzrXnlJjQshxw-4j1A_VCNBVa4Z29fZRbm0CG9q-OE2Hscq5fob-3pihq1VtcVYkP84PBP-VIZgldpb0ZKFXlSztVXjLCgfLRdv0GwZU-VeJcUknFwLRfFX2cGeX66MnWzCkCMhtujhMdK_ObIrpxEV1_iccf7sRJSsvd6szA3guezRWjjnLVBhQOdj-DIIBehgKxeBNlCL9WExdVgiW20PGgg23Is6XIAQgwDVDrtYKU6a9YFow90p59zhdCvjnsH-PQ4KZsbkKr2WDy_5Iy-IYfO1aPKMsz1awnRFXCSWA7hNbJg5x7SWvMMSjq1Makcb2Tj8XnXrVQTT6w0707SBc0zonrblpmuh-oEbsjEsbd5xa2p4sV_66aoSewlAvHDH5Ia_BNPBioTGwPgRIgcudYed-8vqw-WtdfqgHoPTTjw1EJjsy7yhvYRit2BBgvMaqY5GE7AZhZ6lL1O3NfdmqKeDRRZicvJRxk1gFJMgXn-39jzqwAtM6JO2omxhNhETrpy2PLtmLxGxJYUlnwvveZoQXxZmjVMlS71RTAZuYOkunB_JUG-N4Ed8z_Wq-UW65FP_BKNah4OP8aY49eyOs7v72_Tv0B0D6s4hZImsrswlodq8eHZF62EzSyr0SOolndV28a0O0V0yKsxCC6L0Q7pa0RluleamP6MqvQ6tjtFuaIRFYBzW5nmVaydHg11Dk3UPJxTDdf75HuzaDr_JP78dNcady04cl1dnFCAL1faTLCxGKExmFNK5rr02eYbbJ9SGnn_mq096JxZw7R8VB1_oVlUcNTozg8opu67hFRob6TPE3fPqkeIItSJLir56xNTxnPZSqSS0ctRPXu4jROmKO5ERUiHttsagf5A8PwGuu5ufPC9VMhQ5TKma5K0bYvMgNUIfzc1RUN_6XRNIrdYER1gRs-WLDfmw63bQxil-jmtqHYxdnJcOShPQPEqsMas4aty5sk-6ZK7DWtxoF2M_kfAiKb7myUCZnI-5_RcxvBGYgoid3Lz9hf9z6xp5WmIrIvgkeUQB4U4XKxcHhZlqPURPuKAOQ6uQKjP99EexoW8w6j0O5U-ra--GRyiq-82WjgPobW6pl_EbzlV1TImQyMwZXQaNn7uTebIrwS68U9AXWIGGXKNxx_1OydTN5WtgXUqP9X_28-irgpkgrNaPYzl2sksgvcY_wKd1v3F1TtR8u0Ye14bHK0jILbjID5Rong5yQQmfGZ8o8GlgzofnlrWSkvkmjjxCiwVfAGUX16orgc5xPBh9cPo1UVqFv7J74A-uPgmb-O3dqah\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Evaluating service setup**\\n\\nI 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!\"}]}"},{"type":"toolCall","id":"call_BEV26z2JrQ1zl8BQEUlnTmdP|fc_0d852cbc8d6115830169fa0846453481948e0df9c3ff2e1059","name":"todo","arguments":{"action":"update","id":1,"description":"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.","status":"in_progress"}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":5768,"output":204,"cacheRead":95744,"cacheWrite":0,"totalTokens":101716,"cost":{"input":0.01442,"output":0.0030600000000000002,"cacheRead":0.023936,"cacheWrite":0,"total":0.041416}},"stopReason":"toolUse","timestamp":1777993791074,"responseId":"resp_0d852cbc8d6115830169fa083fb21c8194926d7a85f021840c"}}
{"type":"message","id":"5ce1213e","parentId":"f358c3b0","timestamp":"2026-05-05T15:09:58.958Z","message":{"role":"toolResult","toolCallId":"call_BEV26z2JrQ1zl8BQEUlnTmdP|fc_0d852cbc8d6115830169fa0846453481948e0df9c3ff2e1059","toolName":"todo","content":[{"type":"text","text":"Updated #1"}],"details":{"action":"update","params":{"action":"update","id":1,"description":"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.","status":"in_progress"},"tasks":[{"id":1,"subject":"Debug missing session-close memory capture pipeline","status":"in_progress","description":"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.","activeForm":"debugging session-close memory capture"}],"nextId":2},"isError":false,"timestamp":1777993798958}}
{"type":"message","id":"2793838a","parentId":"5ce1213e","timestamp":"2026-05-05T15:10:22.457Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_J2aLQAcufTHCiYb3kd4qhsVr|fc_0d852cbc8d6115830169fa085e12d08194a58ffea24ae9c4b1","name":"bash","arguments":{"command":"systemctl --user cat session-memory-dispatcher 2>/dev/null || true\nprintf '\\n---\\n'\nls -l ~/.config/systemd/user/session-memory-dispatcher.service 2>/dev/null || true\nprintf '\\n---\\n'\nreadlink -f ~/.config/systemd/user/session-memory-dispatcher.service 2>/dev/null || true","timeout":15}},{"type":"toolCall","id":"call_YvT4wb2hDQBalayv85VFYys4|fc_0d852cbc8d6115830169fa085e13688194b7da7dfc191f25e0","name":"bash","arguments":{"command":"ps -o pid,ppid,cmd -p 1378 || true\nsystemctl --user --no-pager --full status session-memory-dispatcher 2>/dev/null || true","timeout":15}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":353,"output":172,"cacheRead":101376,"cacheWrite":0,"totalTokens":101901,"cost":{"input":0.0008825,"output":0.0025800000000000003,"cacheRead":0.025344,"cacheWrite":0,"total":0.0288065}},"stopReason":"toolUse","timestamp":1777993798960,"responseId":"resp_0d852cbc8d6115830169fa08479ef8819483b47eb873cd11b5"}}
{"type":"message","id":"9d93b57e","parentId":"2793838a","timestamp":"2026-05-05T15:10:22.503Z","message":{"role":"toolResult","toolCallId":"call_J2aLQAcufTHCiYb3kd4qhsVr|fc_0d852cbc8d6115830169fa085e12d08194a58ffea24ae9c4b1","toolName":"bash","content":[{"type":"text","text":"\n---\n\n---\n/home/sebas/.config/systemd/user/session-memory-dispatcher.service\n"}],"isError":false,"timestamp":1777993822503}}
{"type":"message","id":"779ee14f","parentId":"9d93b57e","timestamp":"2026-05-05T15:10:22.505Z","message":{"role":"toolResult","toolCallId":"call_YvT4wb2hDQBalayv85VFYys4|fc_0d852cbc8d6115830169fa085e13688194b7da7dfc191f25e0","toolName":"bash","content":[{"type":"text","text":"    PID    PPID CMD\n   1378    1289 python3 /mnt/rpi/pi-config/scripts/session-memory-dispatcher.py --host 127.0.0.1 --port 17882\n"}],"isError":false,"timestamp":1777993822503}}
{"type":"message","id":"651d3690","parentId":"779ee14f","timestamp":"2026-05-05T15:10:27.553Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_0d852cbc8d6115830169fa086109148194925a373e1da620ee\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-ghjDbcNTZ79AqbSu6XbXPGMpRXIktqntlnEpRb5_Pd-bz6tQN5-1Z-EiZukFwEsC2Z6eMAcAECW5SVRSHRrOZwbMYbcjBtige9DyK8BGXHhTaeO3_-pk7WPJJ7QMBuRskw69gMCaqkcrtwQtK3L1XLxSO6xexw9helu5mgPNE0TDO7kvmEszh8lXMxqNmhfOBDiShdduXiJV9uTseqCJy6UBMG3B8DnVavnucqoCWrsyBRZd0aBZrzf61avkeuTFLpd7dYGUw0uKo1vsVRNydXNhs_M2OuLPr7BEmLktQksA4WBxS8mGWs1L368hmkEGncLL4Qqv5GDaQ2vfE1gqSP49sRU4eL3cRzB3W9eDPeQ6OFJReztiEinD5DdCeQM-LSTQB7Q3YKlMnghe3ArSTvbnmcLdyM7JzjTY_AaooAcq0iwCuF7E1u9fQM7WQhE28mGXbOsUeSu0lClEG9SDKtyCl4yO0ihylhcGUXFF4Y3AgI99ktUxWOUFZMe0YQHNe8yg9qs7zefCYiilADo245k294EKbZ1CHBzN5-5Gup5YeXaoSczdrxqn1tr6v7d96LDmC1m7rVgifY4WwFW1mYTJLJHs6_kNMxr15l3IDyLrM_zaS0MnpEErthjOaWV2isxye27LxzOyI0FdOVWpjz1aoi7_SiOk5oktH7gb-yF9WLyr_fzp-ffe8DVQzSwhy-pdpDeorubzm9XROl-DnhAHdZFPfGfZWE_gL9DbWk2BlPIzVCpCs8HZhv5b7Z3-WVmq9-VkcbAgQWCddlyFC-sXp3aMRkEwcM17ySI3rpqvc54ifQBYO8xWXaCxxy4nwAwnmhijS8WABfVb5urU1tEUauOmA9apowRiy_mwcPW30x7EOvU7AaW_JTK2nUVYLRzDnPFnumqzxRNqhVGXrd4mpEWkeqzF933aKtnnHpIOXwgcM5KMlzHR28Kh1K7gsdh\",\"summary\":[]}"},{"type":"toolCall","id":"call_1JsQ4xneuIXcPfaxCGHWPr6t|fc_0d852cbc8d6115830169fa086355b08194bc92673ab1d686b3","name":"read","arguments":{"path":"/home/sebas/.config/systemd/user/session-memory-dispatcher.service","offset":1,"limit":200}},{"type":"toolCall","id":"call_yhJVIHETZs0sxjpNIZwO20Og|fc_0d852cbc8d6115830169fa086355c08194a19b373e271be300","name":"bash","arguments":{"command":"systemctl --user list-units --type=service --all | grep -i session-memory || true\nloginctl show-user sebas --property=Linger || true","timeout":15}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":610,"output":117,"cacheRead":101376,"cacheWrite":0,"totalTokens":102103,"cost":{"input":0.001525,"output":0.001755,"cacheRead":0.025344,"cacheWrite":0,"total":0.028623999999999997}},"stopReason":"toolUse","timestamp":1777993822505,"responseId":"resp_0d852cbc8d6115830169fa085f93f08194a1cc034886537928"}}
{"type":"message","id":"31c94dd5","parentId":"651d3690","timestamp":"2026-05-05T15:10:27.586Z","message":{"role":"toolResult","toolCallId":"call_1JsQ4xneuIXcPfaxCGHWPr6t|fc_0d852cbc8d6115830169fa086355b08194bc92673ab1d686b3","toolName":"read","content":[{"type":"text","text":"ENOENT: no such file or directory, access '/home/sebas/.config/systemd/user/session-memory-dispatcher.service'"}],"details":{},"isError":true,"timestamp":1777993827586}}
{"type":"message","id":"1d6309ef","parentId":"31c94dd5","timestamp":"2026-05-05T15:10:27.589Z","message":{"role":"toolResult","toolCallId":"call_yhJVIHETZs0sxjpNIZwO20Og|fc_0d852cbc8d6115830169fa086355c08194a19b373e271be300","toolName":"bash","content":[{"type":"text","text":"  install-session-memory-dispatcher.service    loaded    active   running Pi session memory dispatcher\nLinger=yes\n"}],"isError":false,"timestamp":1777993827586}}
{"type":"message","id":"e41adc36","parentId":"1d6309ef","timestamp":"2026-05-05T15:10:35.157Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Looking into systemctl usage**\n\nI'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!","thinkingSignature":"{\"id\":\"rs_0d852cbc8d6115830169fa0866df548194be04389c0a06a6ab\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-ghqKYtDHCuuheoe0Yp-fdtyuq5f_UvMLVlW1gr_B_O-R3Jh5xSkS2ZfZTYRr3PEvYEMP20SzyyBeD5D7YofPyoF-dgkYwVvsdARAUFtAa5JoASC-IeLGcMqn00-q3XCvtC-Uv2NpeunhHCC19wkYbHaT6fSRiBHTDAfETK_gesPoWRmWcxLlv-acILVSpLdRPKvdCtSuo9AIfGovLGGcMlSJNm-qV_-uAIc7fxIjsMHYc0fJn7hSUw4OA7UY801Dzqq3_Uc39ye2jZmd4WP6-os-K4r55cpYwsdd0L-35J324Z6xpR2L3Rr-0Sl3MnabFltZ4bH5baOhJnrekQ7whjyhQWT-yC9RvewPDGGqMvo7kW3Z0cZ8S1zmNyn5hLpFtYmJ6U_fA4HkVYxqT3Z626OxHi1rZOG-lmAlWVpUsVbQToMYwNvrkeGT9kt8NBt5oPWTeAR8v3TVD-wTRArTt3Nn-3qslgxnpcF1ST3LfXyZ9tIPuJnGOH83j03pV-lXVERVKyEsMdQjC59TWa87FBV0hORtUZRtwuJfPeEiiX30pi8EENfPdQ9ksrLqKRUiOTwLGS-GDHNcZCLAcIy94f9gCPL_1pbzozlAxrqeNHGL4lN7q_knEqEu1j5MrcH-cQQCFTixpfyr_O1k-RQPvINO3w68kSkhYmFUTCMlsGdJPLBkh6hWs5JeA7l9NmxA1CZHCZOBK59GXfdrfKWuCJn-vV25-XvPoJ2VGP27oiTKA_sfvESe0SsZ-h9NDd5T9xY6DNefZ-9V4Cxz3ohY7oC8zTGZqYwbGXHDSUdnaYE10m_5WjpsyKYU2_I5l7zW5Dc-nAwCiYBijaEbddh7YcwIUoh3YEphbxHOLvbpp2oiMa5iRwwUU893nAYhFWY8RsmM9UAjEZg0-iVUtu2WLLI8kyWBKr_esty3NdoYoQhvKDGlIMPJa0BaSIPYIBe5P0OfULibocaIe0B4CiIL538o2V0l12Bf-yXsmare0wPr26PgA0-vY11fupD1LvYHFcO\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Looking into systemctl usage**\\n\\nI'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!\"}]}"},{"type":"toolCall","id":"call_xty2H07mIIJlzg71ecbxPcPb|fc_0d852cbc8d6115830169fa086abe488194953d9c54de766ba2","name":"bash","arguments":{"command":"systemctl --user cat install-session-memory-dispatcher.service","timeout":15}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":283,"output":54,"cacheRead":101888,"cacheWrite":0,"totalTokens":102225,"cost":{"input":0.0007075,"output":0.0008100000000000001,"cacheRead":0.025471999999999998,"cacheWrite":0,"total":0.0269895}},"stopReason":"toolUse","timestamp":1777993827589,"responseId":"resp_0d852cbc8d6115830169fa08648a7c819485b22f7753908702"}}
{"type":"message","id":"06cf1a05","parentId":"e41adc36","timestamp":"2026-05-05T15:10:35.174Z","message":{"role":"toolResult","toolCallId":"call_xty2H07mIIJlzg71ecbxPcPb|fc_0d852cbc8d6115830169fa086abe488194953d9c54de766ba2","toolName":"bash","content":[{"type":"text","text":"# /home/sebas/.config/systemd/user/install-session-memory-dispatcher.service\n[Unit]\nDescription=Pi session memory dispatcher\nAfter=network-online.target\nWants=network-online.target\n\n[Service]\nType=simple\nExecStart=/usr/bin/env python3 /mnt/rpi/pi-config/scripts/session-memory-dispatcher.py --host 127.0.0.1 --port 17882\nRestart=always\nRestartSec=2\nEnvironment=AGENTS_DB_API=http://100.116.176.16:8091\nWorkingDirectory=/mnt/rpi/pi-config\n\n[Install]\nWantedBy=default.target\n"}],"isError":false,"timestamp":1777993835174}}
{"type":"message","id":"03571810","parentId":"06cf1a05","timestamp":"2026-05-05T15:10:45.620Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Improving service installation**\n\nI'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.","thinkingSignature":"{\"id\":\"rs_0d852cbc8d6115830169fa086d6f3c8194bafbeea05c4064e2\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-gh0lIzKk7BegZWUVGxd2vRfsOxfr6-Pyk1DH7FnV962nvBclXnKlUXAgRE9uXkO5OAu0m4CF-WCgle_eZyxCehHR8aNUomcG_eD_NPaM2sMbv9NNpQLC9ch63gvhABcVm1YQ3zQfIIt4eIyu1k4m2R50-FjGIDHauWIQn8pAu1wrHSUssf5GqHpBaVU5lJ5O1GMK-UA6ZUIXVTnDM3o7m3ONSEb8oUtQDkVz7OEF7SZpN5OxltBoO6RfIGhjQf9A72JEDCdHiwhGnTHAUkHmG6XDTHNJDuXl5GEA6ywlU2Mmw5T3-md_lKyOyY78MpEdvbxkGYa1_4K8I5NfT09SD6-o_Vms_aDWIUtPmTaHOiSvITPDjVKZIKEYRqX0Iig07rWz6e0SmuFAEa-jLI739dLb8q1qB85y5IgMSRITvddg7WO3azHKb0-aJw6vR9aqFk8G2sF_3dIbpgGKLqlExDuyO-p_YYVVrgFsOkGKwSccjatMrh7YVRWSdBEo_NF_G7UpF5QxuX9uUgnKgzTYJmn4AkHQKQuha0tpcoFlpyKKOg0c4Gc_NePiiC5T_flJImtZUWM_l8zw543kH7bo4CrRlZZR42DriCYogUAv0sr3zjFFQ-Cz8UrJ7xHL7d_smVeO_XhzXoKV3Tn8o1pdwuV9kfuqB3p_4Y-FYcEv6Cem2GRSSHPaLXM5kLodfZz-niAH0F9iWngB1-CyKiA6oUCiwBG6qVQksSKbqteBlYn-ueesjyU9BzE9ACfRjKK52wP2LZrOvW05Alj89uzgy0weSk80k3s1HAfKssglU4Bd3AQYV-sjbvSSZUHHYkRopI3ZYMQUtbyKvqPF51OcieZ06havHgOqhjA8kZnNt28B4pzHKuHJDyZnsDjXYzknswVWE1VcUozXGllJKOnvrvhYl6ybiBJ9Ba6VEbQe7X2iG9OsDplodJ00RlSLjHsqAysYM1YLKmcKUCWWRieyLAiEzB2pwzMvAtKrekXY5cwJs_hdpeH5GQSuBKDe1hnf_RBTLQqfPDoMqVyyj9jPv7xJjH_qWmBpmJIbCe-mrNQfThoQ9MYL6AWsogZn8T4VhGtoELenF6ntrKRfVs08TCQTIKRuh1ZUQquG41U2b3CAbWAacZbbu8-P57rnDdLpAlmwXaVuM4cmpThiif_3tmmb9WyxS_IdL2QHIyD0aycfYf--6WWZ0IzeClCf8cT7mrUuslfvlqU_KX-WxIff_nDc58YfXzXcMVm8-Ho-JeieWUiboIrB9hyHf-I8AGDYPR3a56Vqr1CjpUsXfvqhTmmQ_yel8W3CY8gK88tdm9CGBS_uAP-S-y3sswR8DuzMeWuAc8VcPCPE-KuZKXrHr-SzKPv7jwSTWTa-REHW5j1u_YRQCfGegg7JOkfyFYCvklCaL5Wn0RjjLU83jAYe_jLB8Yl0xvppwTFowJMCouSOkVJBepob5t1FnVBwKYplKCvUur15q4P3jpsAkHNrGg5JKlOn4eRjmE32b6u7_PFZYZnXjFKWdyNoLrpF2t_6z1kxNGa5-dLHipf8QQSjahJHLAunl3RUUbuuXIIgKLpmSbzXPEI6_nT6BICAjMqIuI9xUxc7z7jsGRaBYIs6GYo8-Gb7o16HQn2wc_G0HtPENGPKi4wT1YrnTlWJsCUAWtzrwpueXzCKCvO3P__5SkMbM8Uud4hSzwYoF2kU_d02MJuRIMoCN58MjIgKN-bJkluzZ44-0AEoivjsUW1BYXU0g==\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Improving service installation**\\n\\nI'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.\"}]}"},{"type":"toolCall","id":"call_CloOLin0ekdwRkvwHEgnXnk4|fc_0d852cbc8d6115830169fa0874613081948847aaf44bf2e13b","name":"edit","arguments":{"path":"/mnt/rpi/pi-config/scripts/session-memory-dispatcher.py","edits":[{"oldText":"def launch_analyzer(job_file: Path) -> None:\n    subprocess.Popen(\n        [\"python3\", str(ANALYZER), \"--job-file\", str(job_file)],\n        stdout=subprocess.DEVNULL,\n        stderr=subprocess.DEVNULL,\n        start_new_session=True,\n        close_fds=True,\n    )\n","newText":"def launch_analyzer(job_file: Path) -> None:\n    log_file = job_file.with_suffix(\".log\")\n    log_handle = log_file.open(\"ab\")\n    subprocess.Popen(\n        [\"python3\", str(ANALYZER), \"--job-file\", str(job_file)],\n        stdout=log_handle,\n        stderr=subprocess.STDOUT,\n        start_new_session=True,\n        close_fds=True,\n    )\n"}]}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":479,"output":343,"cacheRead":101888,"cacheWrite":0,"totalTokens":102710,"cost":{"input":0.0011975,"output":0.005145,"cacheRead":0.025471999999999998,"cacheWrite":0,"total":0.031814499999999996}},"stopReason":"toolUse","timestamp":1777993835176,"responseId":"resp_0d852cbc8d6115830169fa086bc03c8194a856f56891037a22"}}
{"type":"message","id":"57ea0022","parentId":"03571810","timestamp":"2026-05-05T15:10:45.626Z","message":{"role":"toolResult","toolCallId":"call_CloOLin0ekdwRkvwHEgnXnk4|fc_0d852cbc8d6115830169fa0874613081948847aaf44bf2e13b","toolName":"edit","content":[{"type":"text","text":"Successfully replaced 1 block(s) in /mnt/rpi/pi-config/scripts/session-memory-dispatcher.py."}],"details":{"diff":"     ...\n  34     return job_file\n  35 \n  36 \n  37 def launch_analyzer(job_file: Path) -> None:\n+ 38     log_file = job_file.with_suffix(\".log\")\n+ 39     log_handle = log_file.open(\"ab\")\n  38     subprocess.Popen(\n  39         [\"python3\", str(ANALYZER), \"--job-file\", str(job_file)],\n- 40         stdout=subprocess.DEVNULL,\n- 41         stderr=subprocess.DEVNULL,\n+ 42         stdout=log_handle,\n+ 43         stderr=subprocess.STDOUT,\n  42         start_new_session=True,\n  43         close_fds=True,\n  44     )\n  45 \n     ...","firstChangedLine":38},"isError":false,"timestamp":1777993845626}}
{"type":"message","id":"1670917a","parentId":"57ea0022","timestamp":"2026-05-05T15:10:50.705Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_7LxsBPMPxuZ9WVYFV7Jn2GMj|fc_0d852cbc8d6115830169fa087811c8819487dfb6918b42892b","name":"edit","arguments":{"path":"/mnt/rpi/pi-config/scripts/install-session-memory-dispatcher.service","edits":[{"oldText":"Restart=always\nRestartSec=2\nEnvironment=AGENTS_DB_API=http://100.116.176.16:8091\nWorkingDirectory=/mnt/rpi/pi-config\n","newText":"Restart=always\nRestartSec=2\nEnvironment=AGENTS_DB_API=http://100.116.176.16:8091\nEnvironment=PI_SESSION_MEMORY_PI_BIN=/home/sebas/.npm-global/bin/pi\nWorkingDirectory=/mnt/rpi/pi-config\n"}]}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":854,"output":134,"cacheRead":101888,"cacheWrite":0,"totalTokens":102876,"cost":{"input":0.002135,"output":0.00201,"cacheRead":0.025471999999999998,"cacheWrite":0,"total":0.029616999999999997}},"stopReason":"toolUse","timestamp":1777993845628,"responseId":"resp_0d852cbc8d6115830169fa087639ac81948b342341c576eef4"}}
{"type":"message","id":"65523c0c","parentId":"1670917a","timestamp":"2026-05-05T15:10:50.722Z","message":{"role":"toolResult","toolCallId":"call_7LxsBPMPxuZ9WVYFV7Jn2GMj|fc_0d852cbc8d6115830169fa087811c8819487dfb6918b42892b","toolName":"edit","content":[{"type":"text","text":"Successfully replaced 1 block(s) in /mnt/rpi/pi-config/scripts/install-session-memory-dispatcher.service."}],"details":{"diff":"    ...\n  8 ExecStart=/usr/bin/env python3 /mnt/rpi/pi-config/scripts/session-memory-dispatcher.py --host 127.0.0.1 --port 17882\n  9 Restart=always\n 10 RestartSec=2\n 11 Environment=AGENTS_DB_API=http://100.116.176.16:8091\n+12 Environment=PI_SESSION_MEMORY_PI_BIN=/home/sebas/.npm-global/bin/pi\n 12 WorkingDirectory=/mnt/rpi/pi-config\n 13 \n 14 [Install]\n 15 WantedBy=default.target","firstChangedLine":12},"isError":false,"timestamp":1777993850722}}
{"type":"message","id":"56d4c936","parentId":"65523c0c","timestamp":"2026-05-05T15:10:55.607Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_Ap5mGg1ZlMBtTnSjrx9AVD5m|fc_0d852cbc8d6115830169fa087ced8c8194a2e03b691f3d7994","name":"edit","arguments":{"path":"/home/sebas/.config/systemd/user/install-session-memory-dispatcher.service","edits":[{"oldText":"Restart=always\nRestartSec=2\nEnvironment=AGENTS_DB_API=http://100.116.176.16:8091\nWorkingDirectory=/mnt/rpi/pi-config\n","newText":"Restart=always\nRestartSec=2\nEnvironment=AGENTS_DB_API=http://100.116.176.16:8091\nEnvironment=PI_SESSION_MEMORY_PI_BIN=/home/sebas/.npm-global/bin/pi\nWorkingDirectory=/mnt/rpi/pi-config\n"}]}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":509,"output":136,"cacheRead":102400,"cacheWrite":0,"totalTokens":103045,"cost":{"input":0.0012725000000000002,"output":0.00204,"cacheRead":0.025599999999999998,"cacheWrite":0,"total":0.028912499999999997}},"stopReason":"toolUse","timestamp":1777993850723,"responseId":"resp_0d852cbc8d6115830169fa087b3a8481949ad398ba81325ad8"}}
{"type":"message","id":"a08c3d64","parentId":"56d4c936","timestamp":"2026-05-05T15:10:55.618Z","message":{"role":"toolResult","toolCallId":"call_Ap5mGg1ZlMBtTnSjrx9AVD5m|fc_0d852cbc8d6115830169fa087ced8c8194a2e03b691f3d7994","toolName":"edit","content":[{"type":"text","text":"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."}],"details":{},"isError":true,"timestamp":1777993855617}}
{"type":"message","id":"92165669","parentId":"a08c3d64","timestamp":"2026-05-05T15:10:58.849Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_0d852cbc8d6115830169fa08819b488194a8acac58f42c2284\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-giC5sJGwv7x5Kr7pgOS9mQjCJlIyargKS_fiVDOrUZSa5AEYcMEYA1bRj4OQOcIo_txGw4Bx8vIfJ-wNGavWgIfc3uRSNtfaAFZwizc37t1_rpd1yce4KedGsUQwI2OTxBdxnAHIEgW4PYNt57NWWMe-5jzQm21e0iw0WZ0xlbmfQB3Sh-YjmOUFNiWCy119VGWMyGfPandCQ4XRAdmQSSRZT6m91LJg-P9CYf62xhm5b-V7me9r86RJGbnmEZDd6QERyAqjEcq8ckjXFC1QoCnX4rLDDXhvIJ-oxYxgXDcdphV2Gj80ehFrm04gS9HDONwBzGJAwdNCyV4aP8O-Kr8ldUIJ4Fa4p1PYujYaKT0wzSMgI0MIcDHEytpvz07KRHRAxoua-EJX9V5vveOAIjZL_6C6VwbRb30XEJbexo3ibLw32jpDsyXxuBVK2VNbbIHGrYuiLaPBmg_7_DWGwWTge4HVf6q57ADn0rZoeWY3LLzQmSfy92-10VloI9RWbZF1uhMy70W3O8-am6jvg-9ElFjktoDsDuLVPrw4BX5smdwsPliYMd7O_JnSje859luJ5q97x-E9jx0Bc4hj8DZmN2gU44Q_kw8O9W-Hf8W7bFQ7-6XCqjBa_al6KHqQRqIhAphYGag9kgM5rB7Z7rta18FaCoMjU8kZRDdwJnb_Jvjn9eE8VYQY8wDaIBF-LXuT31QYyN4yiHBsVBfNd2gM-vmT43jTJcq8TT3WNH3kylr0uOLx94zZ_JkAJNJ1CuVhfbqKRQQ0Gh01C4556IFZy0D4Sq3n2pKKhHbRmGvkf5M7oY9u-g9OlLgKXS3U6306gGi8daK4gqatEZFAwcMvO5fw87Bz9y6HtnU_lQaEpTLRr0Cj_aoNtReEfYJadvVHPY231Da0xpU6Tbk09G4ew0VFW2qx4bKe4PaqWWiTak=\",\"summary\":[]}"},{"type":"toolCall","id":"call_i5x51QhSq59WHsrQS6p86hV4|fc_0d852cbc8d6115830169fa08822b008194a848502d262b4e4f","name":"read","arguments":{"path":"/home/sebas/.config/systemd/user/install-session-memory-dispatcher.service","offset":1,"limit":80}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":692,"output":50,"cacheRead":102400,"cacheWrite":0,"totalTokens":103142,"cost":{"input":0.0017300000000000002,"output":0.00075,"cacheRead":0.025599999999999998,"cacheWrite":0,"total":0.028079999999999997}},"stopReason":"toolUse","timestamp":1777993855620,"responseId":"resp_0d852cbc8d6115830169fa0880902481948497a835adc75d58"}}
{"type":"message","id":"d5dcffc5","parentId":"92165669","timestamp":"2026-05-05T15:10:58.867Z","message":{"role":"toolResult","toolCallId":"call_i5x51QhSq59WHsrQS6p86hV4|fc_0d852cbc8d6115830169fa08822b008194a848502d262b4e4f","toolName":"read","content":[{"type":"text","text":"[Unit]\nDescription=Pi session memory dispatcher\nAfter=network-online.target\nWants=network-online.target\n\n[Service]\nType=simple\nExecStart=/usr/bin/env python3 /mnt/rpi/pi-config/scripts/session-memory-dispatcher.py --host 127.0.0.1 --port 17882\nRestart=always\nRestartSec=2\nEnvironment=AGENTS_DB_API=http://100.116.176.16:8091\nEnvironment=PI_SESSION_MEMORY_PI_BIN=/home/sebas/.npm-global/bin/pi\nWorkingDirectory=/mnt/rpi/pi-config\n\n[Install]\nWantedBy=default.target\n"}],"isError":false,"timestamp":1777993858867}}
{"type":"message","id":"874c11d9","parentId":"d5dcffc5","timestamp":"2026-05-05T15:11:05.609Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_0d852cbc8d6115830169fa08854d988194b79c8a17056598da\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-giJCzIUj2uT5qHpmjoFujkn_JdHH3YlIq-Vm0w-2l1WOYcCZWDMIF69TfE0FGzfQtHDsL3I61czGLYav_mvT8PXrtdIiMJYGxhGXrl5ZZ78ZCq_nRRJqeLxdHXrpCtmMvP2sxCtbqXmBQ3olhE8BK3McbuBsUQNDNDdcCLNM5RrEEBYlLBP5RSzvSSAohKX7kQ9QUzXRap4p13O5Lz5ljF4IKQEfQVALErKg3i-zNYkKMvjb6zEbloqwpK4hMlwYcPTeJclH6cJXUxJ0fqnGPF6sBfCHTN73cFA-pchXzUxQDQ3yQLckznIOkPr2jbhTY_A35q-N7mq97UraVLTGS4eQUvgfIm3QYDlvXPoLExS2M6qThhpBWswHHETTvqWhqIJPXY1CQZT88-gEso8z0vNjjcd4YFOy8_u8K0ZryJ5woaa0VeOGzVrzfqKicrQMKHyYvU39BuxXh8WOTFrLpPtw8rN_Pdf10syLuWorHEJQztWXWitTcPGq3-MTaRLVOzOYnhkf8ETd3qIVxH5bzJ5uou7wIgfIwPAPTsbtIgWrBpQm7znW_Q28GPE6ofW5IyNiEvfBcdMWoTNkiyWFPK3Tg7-loskwZyIqFylyuVCbO0tonhp55Vaktbgs5SUEcyixvWmysWP8fJUwtR3K1fXRTw5IZYXxn5qRfevGKC6PQP-YnsosH1igXYp4N0LPMwR7_RaX6t8wN5Ylr9ywCqPkAIMT0eLLdU6OjWp-PWQ7_Pwk1t3pNGBZ8L09b1MFAoD8SrK38GEr8vHrJmvTxOqPwO1VMin4_j8_D0s27RuebxUSSqjBssnP-qBcrpiN1uK7NgxklBfi99_WestVEmxAFp8Pg-4Da8c1xgykaYHKJA3Wx3fs54GOwZWaHx42Vu2v3nlBXFeEUe6DNu6FPUudbwoL1W4TFeUbfptv7oPQ3wFRet_R0UbDjRdatJJobuzVxKe8BGx4LE7uuay5rdcMazAJePcuMgMendKHYG6kNVO6qHy84vP6loOLNVSK3XvVJ2ST9iEuTBGM_Ag2bdcZA==\",\"summary\":[]}"},{"type":"toolCall","id":"call_At7tSt8zuzUKNEwL1ba34y6K|fc_0d852cbc8d6115830169fa08890fc88194af4c378aa7473fad","name":"bash","arguments":{"command":"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","timeout":30}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":370,"output":86,"cacheRead":102912,"cacheWrite":0,"totalTokens":103368,"cost":{"input":0.000925,"output":0.0012900000000000001,"cacheRead":0.025727999999999997,"cacheWrite":0,"total":0.027942999999999996}},"stopReason":"toolUse","timestamp":1777993858869,"responseId":"resp_0d852cbc8d6115830169fa08835f148194b5c245838c494731"}}
{"type":"message","id":"ea3a84d5","parentId":"874c11d9","timestamp":"2026-05-05T15:11:06.804Z","message":{"role":"toolResult","toolCallId":"call_At7tSt8zuzUKNEwL1ba34y6K|fc_0d852cbc8d6115830169fa08890fc88194af4c378aa7473fad","toolName":"bash","content":[{"type":"text","text":"● install-session-memory-dispatcher.service - Pi session memory dispatcher\n     Loaded: loaded (/home/sebas/.config/systemd/user/install-session-memory-dispatcher.service; enabled; preset: enabled)\n     Active: active (running) since Tue 2026-05-05 12:11:05 -03; 1s ago\n Invocation: 674270eb1a2a47c49c85c77cec0b1f3c\n   Main PID: 41278 (python3)\n      Tasks: 1 (limit: 9575)\n        CPU: 73ms\n     CGroup: /user.slice/user-1000.slice/user@1000.service/app.slice/install-session-memory-dispatcher.service\n             └─41278 python3 /mnt/rpi/pi-config/scripts/session-memory-dispatcher.py --host 127.0.0.1 --port 17882\n\nMay 05 12:11:05 ballbox-first systemd[1289]: Started install-session-memory-dispatcher.service - Pi session memory dispatcher.\nMay 05 12:11:05 ballbox-first env[41278]: session-memory-dispatcher listening on http://127.0.0.1:17882/api/session-memory\n"}],"isError":false,"timestamp":1777993866804}}
{"type":"message","id":"fc3804ec","parentId":"ea3a84d5","timestamp":"2026-05-05T15:11:15.838Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Considering duplicates**\n\nI 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!","thinkingSignature":"{\"id\":\"rs_0d852cbc8d6115830169fa088ecd8881948afbe4078064d6e3\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp-giSDnUHDzbXKh7Xthyu1MuOhdUCmb_HFr92iwjnAergayIlxX3eyOIO-AwTkLwj5PSlFpI9WFkNVXRwbDc2p_EvZjrB4CfPAG_Ioeue_dXDOmC6gLKX5OpxJSrkMBxNroyD9Tb0aZDzcL8Ozp24LK8jNYwJJJGUI5CHMa0K_BiVUxjob4LjFuBkAUL73FOWNWGjyeq-FX0s_JydB_JjMo0XJtCzwPkklT6_xLvuLMI0AgZGP6mw_K-45Vf1JPvsilP6JQYzifZVIJP-890oKtgpnMX7OVNOOkmbEVKSC7KoaTt1Habb7Jni38KDTgPAmP59gNr05jQR5iTjf1pNxzO8K90r5L7HPcJqV7X5-4t8BPaMoleHogWJ29EMvqdoNIDLMIBErUUMoQ5ikxfUhOktCMZn60zE9B0hlvPp48KEpacLWG08oBwugh3GZUcNSY_wXyuZIPnYHkhOVydzOdsDi_d0SEyrO5rzwra21njCo21jpcMTM_dXNK4bWRMCP_3u7H5l3C42akpZvEoyekDJHo-PqvqbVLg1MQTKoqsM2KIAq4uNhjssk80AZQbg1rPhPYNY_JhtQgQMe7oeLohYv84ZQBgo8cZDMVaScI_sh1M1LdX2Skhm_L9Jyuct--rT8qkqDDEs1bOz-qZ63ThF4_jG4pGVD2yt1JfhU7-0gJi1non1vrgAdoLQB91V9JTO0GYQQEBHygKXrj2BWorO-7HQ4B4o0UIJPNi7P0qEFPVpBC213-B_ZmHuGJ3hAMnnhmfjS9_1hAd1S8AQRWY7Lyg7JyylKdxbJgJa7DOS-18r2b6iB2qNg8H14jIG7oOGXQkxYUztDsF3o76EHebLwk5RHZ-fGzgtyYzr32uy9zjE8QbIOwtyCs3ZnCHKznmdq8U9ukOziIEptDck-8q12Bq2eW6HH0iYsC4DtuUxeBar0i6xEfhSSmYGSV2qp3RgKGGD4pevHRrdrha3qSSBArC23GE8N6iOXlU5BEhCKF1kCOsXrdOEi_FQsw2Tl2EL\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Considering duplicates**\\n\\nI 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!\"}]}"},{"type":"toolCall","id":"call_ZmGNSm7ToDxW0zTiy1c7iSg1|fc_0d852cbc8d6115830169fa0892b2948194b9eb648d76e205b8","name":"bash","arguments":{"command":"python3 - <<'PY'\nimport json\nfrom pathlib import Path\nbase = Path('/mnt/rpi/pi-config/sessions/session-memory-jobs')\nfiles = 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]\nsummary={'saved_true':0,'saved_false':0,'failed':0}\nids=[]\nfor p in files:\n    d=json.loads(p.read_text())\n    a=d.get('analysis',{})\n    if a.get('status')!='completed': summary['failed']+=1\n    elif a.get('saved') is True:\n        summary['saved_true']+=1; ids.append(a.get('memory_id'))\n    else:\n        summary['saved_false']+=1\nprint(summary)\nprint(ids)\nPY","timeout":15}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":729,"output":242,"cacheRead":102912,"cacheWrite":0,"totalTokens":103883,"cost":{"input":0.0018225000000000001,"output":0.00363,"cacheRead":0.025727999999999997,"cacheWrite":0,"total":0.031180499999999996}},"stopReason":"toolUse","timestamp":1777993866806,"responseId":"resp_0d852cbc8d6115830169fa088bab2c8194ab2ba64467a9ceff"}}
{"type":"message","id":"1c6b9711","parentId":"fc3804ec","timestamp":"2026-05-05T15:11:15.947Z","message":{"role":"toolResult","toolCallId":"call_ZmGNSm7ToDxW0zTiy1c7iSg1|fc_0d852cbc8d6115830169fa0892b2948194b9eb648d76e205b8","toolName":"bash","content":[{"type":"text","text":"{'saved_true': 6, 'saved_false': 4, 'failed': 0}\n['mem_68d91c0d9b6244f384fac0abfff678e7', 'mem_5be93517d726499fbdf0f614da57ef6e', 'mem_c636b2dc79794c57aded818ba6fdae2f', 'mem_02a8d3bf9ae04a85aa700eb4d5c045e9', 'mem_f7f168513be944169a0a7790b25293f0', 'mem_812ea22ea06d4368bdb66fe531e64fdc']\n"}],"isError":false,"timestamp":1777993875947}}
{"type":"message","id":"46c88030","parentId":"1c6b9711","timestamp":"2026-05-05T15:11:28.505Z","message":{"role":"assistant","content":[{"type":"text","text":"Done.\n\nManual trigger, last 10 sessions:\n- `6` saved memories\n- `4` analyzed and skipped\n- `0` failed\n\nNew saved memory ids:\n- `mem_812ea22ea06d4368bdb66fe531e64fdc`\n- `mem_f7f168513be944169a0a7790b25293f0`\n- `mem_02a8d3bf9ae04a85aa700eb4d5c045e9`\n- `mem_c636b2dc79794c57aded818ba6fdae2f`\n- `mem_5be93517d726499fbdf0f614da57ef6e`\n- `mem_68d91c0d9b6244f384fac0abfff678e7`\n\nHardening done:\n- analyzer now resolves `pi` via absolute/fallback paths\n- dispatcher now logs analyzer output to per-job `.log` files\n- service env includes:\n  - `PI_SESSION_MEMORY_PI_BIN=/home/sebas/.npm-global/bin/pi`\n- user service restarted successfully\n- reboot persistence: yes\n\nCurrent service:\n- `install-session-memory-dispatcher.service`\n- active and enabled under user systemd\n\nNote:\n- rerunning already-completed jobs created some duplicate-style memories for previously saved sessions\n- future runs should be fine; this was from manual replay\n\nIf you want, next I can:\n1. dedupe the duplicates created today\n2. do one fresh close/switch test and verify auto path end-to-end without manual replay","textSignature":"{\"v\":1,\"id\":\"msg_0d852cbc8d6115830169fa089a224c8194a9b107ee2f24e9a4\",\"phase\":\"final_answer\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":621,"output":333,"cacheRead":103424,"cacheWrite":0,"totalTokens":104378,"cost":{"input":0.0015525,"output":0.004995,"cacheRead":0.025856,"cacheWrite":0,"total":0.0324035}},"stopReason":"stop","timestamp":1777993875949,"responseId":"resp_0d852cbc8d6115830169fa089499148194803ef749aa7170a7"}}