{"type":"session","version":3,"id":"019db57b-5113-776e-abcb-f79ffd299c0c","timestamp":"2026-04-22T13:57:31.027Z","cwd":"/home/sebas"} {"type":"model_change","id":"e133c624","parentId":null,"timestamp":"2026-04-22T13:57:32.821Z","provider":"openai-codex","modelId":"gpt-5.4-mini"} {"type":"thinking_level_change","id":"22891bb3","parentId":"e133c624","timestamp":"2026-04-22T13:57:32.821Z","thinkingLevel":"medium"} {"type":"message","id":"efaee82a","parentId":"22891bb3","timestamp":"2026-04-22T13:58:02.973Z","message":{"role":"user","content":[{"type":"text","text":"hagamos commit del AGENTS y despues convirtamos todo a ingles (escucho que da mejor token efficiency y performance)"}],"timestamp":1776866282972}} {"type":"message","id":"254b70b1","parentId":"efaee82a","timestamp":"2026-04-22T13:58:09.039Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Inspecting AGENTS files**\n\nI need to look for AGENTS files, possibly checking a specific command in the repo. I should confirm the current working directory is /home/sebas, while the repo is in /mnt/rpi/pi-config. It sounds like I'm figuring this out step by step. I wonder if I need to find if the command should be singular or plural in the context. So, I'll inspect the files closely to make sure I'm on the right track!","thinkingSignature":"{\"id\":\"rs_077a35cb5d0923b70169e8d3ec3c808195bdfd599f8b9d316f\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp6NPwp3nzjrmjZRyRo9Ze5LXU2FJ-DxjfKMzYIRg_vq07AQmV2XKnEr5DXSBjTLA0gwZkFHvskjFiawu7sYZQ-ql1eUqXMVSIVK95hgNpbpTxqzgqMJjxcLNG1cqFtJv2anjInGwfoZ-a-VOBkimtvkdhY5NeW6TwS4wOI2Bn8gyba0DFoKd1-qX_Snb93GgtKiX0MxAGa3VlRpUSI4TkKOL36Tc8l1W5l0Rj9CIH2J-gfdiJGjY_h_-1mKS74SzfdhKLGUorp4dq8mlAcP0WeDMejSNTV0Qxf5_jvOBoJf1oRgpM5xOvCisEgFiG_6ZVY5v3Gzi7rcIi4-LJQENd7hxD_WD6UrEzMj_HLj3B9RFU03wP0jSxUD1oxlwCOhIYEarVF9bgO-22EA32xTqmBD0WufO7EXj2djJl8hp4o_iXx5JV1g8cbg3Y9Sjzocw1WSE8YGk3QAlbW-b7hYAW_FCCPK8kC--uICoTAzJXLNsW7XP_Awepr7PP37J0WOeHXhuEDVoF046Z4nGeAoNSJOgLapvFwp__GZbak_lN8h6AiTMdO5bZOqkAN_fyDgU6uV9cdXpPDx1YSFST97dyZu-wPTmA3F0HB-kLrbiCnY_roBj8uZIUxlo5w6qDwOkdo2fjOiSetZ0vapVSxlDLKoZAhkT8yYWzBjXQ0A2E4KZ_U78NLVdTu711lxY-QW78t6zjTfCUkmAIH-tnL3IQ9ga-MtBMvc1tCD2mHhSx4thRYLtlH0I-TlYYRcuHXRykC7eX0EtlBRWU31k1rSQWuD-fg-GhfYgRPih0zhJL2Nn82C0bUd83hZC88aMSrg4N_0g0DhmgL_v-T0DcPUMXFcF_5ORRqlAezyF2WJroCURPsYTW0pFOtVyxluxWDt8k0HntE61F2GJeNYV0vyv8Sa793fl39aRXubDw6gYrcnoSlqdrS_epBqoFG6gAm-cdK9BKNLbOolnZgRKLVaE5xW4BQaizIm9ccZPudLUuHkzzjwAOlOQyXNPF2Xk2AOYDLHkvC1X8AgDAbifO8XRv8tHbWBDVGH7QZakM05OfDPmXkuiRv7O0LxqjPpO0Fqgg2JiZ13Agrh_Or2b5LjxsXfSdDfIUc8deFUO-oF0rQn-IZuvY_vB4coWymiAtI47NS77vlszxhsmnPMOjvgrIYJ6iH0SqsNYDn1PRPgh6U_SBV5L3NyjXwNSyus2GMSezQMtLDDRyp1tPdeO4GAWOPWSusZtXq8JAqDJj-GjrOxBqoZH7rBY1DDM9Wg1M0ynWjOMLQq-M9J7t0CwHfZ5Fumq0QDLdpgqs4jcoF0dstfxl14NO7NvnIFHu5re8MYD8ZZPI8hJtaZnSpDyHXJ5hz5zxWXaxobflkuKRguwpMg1p85GsWoszTr5wT9hJ7nc7Y_VpuqRP7wgH44459vqekeKTeTJWXXdfqiMsxjgGvjw44WQrJBhEBjlP8QEUrz2F45FlUix2kYvbymHBvtq9ZyoLvOnXRuyVxi__F1vXZsMQ09y_6PrAatAOsBUOdQUGBqVu1kqSX0tJeVqFPvB1mHrZ9AWZwsnrDnrBPBP6--ayBLCpctaGSXPv8UviH3pIf8l9XXRqYhy5cCB68FN-BgZ4ZL-nyXy9TeI6jmCrmGASlHCD4qKIEpBiApY1XD8MQuNbthxFuVZeMYKCFWcLYyMDwxhMB7ZVo_ExvjLA3XFC8y4vBZ3SbhTdd4WMVvEh7q5zf26Xkhx2SgIBhXsxINyqmEholPs-A0HsAhgkvbEgR12mVOmkuemzX7xPUWTW1DL7V4D6C_ZMpy2R6h9C8E9_VzM99JChb3hsY5TXZ9Y9vE5ACW1cp3dy2H3udHWS-0PtQjgW2XnW6fnGFKN7T21YNWGt4WP9HHRXKAt0rEDmR9GA5S7E3moU-gnz9W6nJHUVkOD1vgtxolatac0tBn6xoh-Lk_dbJeBkZ1lf8gndSWTV2n6CcFg7lZoIOqhSfO21Aynsd2t49c0qn6weK7MBAauCo0oaX1C38LBiDZsWAzSEU4jkDBysRGlUzMNX1B_UG_FMMqwPsjnT4pl8pOcN13Z-Wsb1QL-5Jq-SGYeEtHj_nqn-yyllnSBIq7LOiCJ_Cw9OZz8NFQ4eHSgVpKT-wl2S5iMrvnp2lsEd7eWO8sPh23w7v5n4S4aHzhpt7wQrPfXokjzEaxXXxbjtn51_-OXetkYIi8YYEF4C83BtRa_MUFIE9tdSLuPaw_1whlcNeWLkcDoMF7OJFI9DC61rD8U-lmamBa2Sx2vp5Vr1Au-KFcCOOzZd5b8sQ5McBy7oOWkGfTEjwXhVUXw_yyGDzvukUgxi4VFZRqm7a18k84EPA3Jr3rTtRHzSQaJb8TK4GqZFxeNN2mek3hecRfVt-fUALeVknnqMoyQV5v9bwwk86OADFTo2jqtSljEQznRToul0ikOIG4FA3cgdSxdMkA==\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Inspecting AGENTS files**\\n\\nI need to look for AGENTS files, possibly checking a specific command in the repo. I should confirm the current working directory is /home/sebas, while the repo is in /mnt/rpi/pi-config. It sounds like I'm figuring this out step by step. I wonder if I need to find if the command should be singular or plural in the context. So, I'll inspect the files closely to make sure I'm on the right track!\"}]}"},{"type":"toolCall","id":"call_HZPI4tSnkPF8zgwU49WfIUL5|fc_077a35cb5d0923b70169e8d3f09e7c81959205403f01b8897b","name":"bash","arguments":{"command":"cd /mnt/rpi/pi-config && git status --short && echo '---' && find . -name AGENTS.md -o -name AGENTS.md -print","timeout":30}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4-mini","usage":{"input":360,"output":288,"cacheRead":3584,"cacheWrite":0,"totalTokens":4232,"cost":{"input":0.00027,"output":0.001296,"cacheRead":0.0002688,"cacheWrite":0,"total":0.0018348000000000001}},"stopReason":"toolUse","timestamp":1776866282979,"responseId":"resp_077a35cb5d0923b70169e8d3eb5404819591fc212b6f89037a"}} {"type":"message","id":"7e985db9","parentId":"254b70b1","timestamp":"2026-04-22T13:58:09.103Z","message":{"role":"toolResult","toolCallId":"call_HZPI4tSnkPF8zgwU49WfIUL5|fc_077a35cb5d0923b70169e8d3f09e7c81959205403f01b8897b","toolName":"bash","content":[{"type":"text","text":" M README.md\n M extensions/session-memory-dispatcher.ts\n M scripts/__pycache__/session-memory-analyzer.cpython-313.pyc\n M scripts/__pycache__/session-memory-dispatcher.cpython-313.pyc\n M scripts/session-memory-analyzer.py\n M scripts/session-memory-dispatcher.py\n M settings.json\n---\n"}],"isError":false,"timestamp":1776866289103}} {"type":"message","id":"ea4de494","parentId":"7e985db9","timestamp":"2026-04-22T13:58:14.895Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Evaluating repo status**\n\nI see that the `git status` command shows some modified files, but I wonder if AGENTS.md is actually not one of them. I might have misused the find command due to precedence issues, which could explain the lack of output. I should check the files to clarify. The user wants to commit AGENTS and convert everything to English, so I need to figure out what AGENTS means in the repository—perhaps I should look at file names? Let's find that out.","thinkingSignature":"{\"id\":\"rs_077a35cb5d0923b70169e8d3f23f908195811c84b362a2a77b\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp6NP2Uz698KqoSooW6D7YKYO-q69LbpW0AIlModAqu4wGd4M3Gb5BEc9cziv7mq9dlq3lRLwPHTckwDCF_ju_2xgPmIbJ1OfxAmevaQzTHkS1see0gVRCLZhSps2bBiCl4XKWPu-WnzjLare984H24VWSZc1dDfZ4Ake3_RN0WxMdYl16PxbvlJJQDkc2CGSMqhNaz8hKHs_lvPHGGeWdy9HylucoKSXUvAKYzxi6KAIkW0cVU_2ERnYVFE2gn-BOIFAY6oe6katoXvhyYb3UXaQ31oI48ZQ7GJl1s1bqUBVHRCLeQDa3FvshN-Z7qEJTM4pZdiThKAuh4Euj_igIvwAx2pC25dGwfdK0rlSb0l-Qg7OXpYzFDC8wHR185E1WmrMMLRf29SfASKRJTXFx6VXt7dCIul4Yj190rZdv4pLf0ijCFTYD_7F35V-nHAEsfjvL4AW4ip3N2nZvk-K609NzhFKRvHRA6LgYNd5E_svfkponVNiuGkou7QHVHayXvD9w4S0ltgX7v0oRveFndwZk3OY5fwqpQ4hnX1tpwbBob71Kbz8kFx31WrOIIQ79611FOu3W0CLnB0rMHPa3UdwoS6POW9l6gs8RFeO7FnNyEckgjimDmG8jcfOCvbMin33rhZ4GuArC8I1XQp19u3vV_ZZ9hhXncY01ZMLCfSZoDPGIlpcXcpvumEcFupj0K8f9Dpn9sm9VxqhIZPlZiB_h6oVq733V4ZPBJxzYD_BsMVzuxJmwLSdXe1s2vOFc6HOTAxl5AjoLHBctSGwmp62ffZSw3Od1AZFk1cNv-Pkl1HyAoJ_WFA0epoyBFd4w-oy_Kme9jyDgKjg8mbL7idSM-o1kGzfh0rswx-7i_1SulpepYkluuvOWGydzDbgDY0P-CeImGqvYNa1Zjx5fZ_nwdoQohXjrFiubgm7iKXh0oQUQuheX4l4ovKotKb1ZLMpTBi3thLxof4RQgCS39kZ98dqf55BkDXfv54O_tat9KTJpD5GvrEJFndIU4kh0O3CJbPlbpOLjp4hQgrk_ziUWOL3ogX0Fax8a5NeCBwNpSXZWFQ9clTShOo4_5vPN33hhgKKZ9t5FbQvePYys2Fq1JKsotFHNgKX4MRC8VF039DrZAtKuerwElMv1iqx6YFtBXFw5RcNHFKrX7esgRf2S8OM4l_D6NfjTgDTU4N0HPBHQiqNxbK2nO8oLOfLeSlP6K6GSGo2f_FpZu5Or8RWKDKzPejdgGkTJ_lgmHY9LPaWaYA56aS3XrYbi4FERlyDYiE1RA5XthXOVtm0GXKx0rAgl0YFxYERox9rXmykmxxo=\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Evaluating repo status**\\n\\nI see that the `git status` command shows some modified files, but I wonder if AGENTS.md is actually not one of them. I might have misused the find command due to precedence issues, which could explain the lack of output. I should check the files to clarify. The user wants to commit AGENTS and convert everything to English, so I need to figure out what AGENTS means in the repository—perhaps I should look at file names? Let's find that out.\"}]}"},{"type":"toolCall","id":"call_CVXErYAg80kVAHtVYCAZ55ws|fc_077a35cb5d0923b70169e8d3f6274c8195a9b9ee82a50cd7c7","name":"bash","arguments":{"command":"cd /mnt/rpi/pi-config && find . -name 'AGENTS.md' -print","timeout":30}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4-mini","usage":{"input":727,"output":102,"cacheRead":3584,"cacheWrite":0,"totalTokens":4413,"cost":{"input":0.00054525,"output":0.000459,"cacheRead":0.0002688,"cacheWrite":0,"total":0.00127305}},"stopReason":"toolUse","timestamp":1776866289104,"responseId":"resp_077a35cb5d0923b70169e8d3f17c74819594376f79bf42c80b"}} {"type":"message","id":"23014887","parentId":"ea4de494","timestamp":"2026-04-22T13:58:14.946Z","message":{"role":"toolResult","toolCallId":"call_CVXErYAg80kVAHtVYCAZ55ws|fc_077a35cb5d0923b70169e8d3f6274c8195a9b9ee82a50cd7c7","toolName":"bash","content":[{"type":"text","text":"./AGENTS.md\n"}],"isError":false,"timestamp":1776866294946}} {"type":"message","id":"d812f529","parentId":"23014887","timestamp":"2026-04-22T13:58:17.209Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_077a35cb5d0923b70169e8d3f798f4819598936b3de57515ef\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp6NP4YDGI_q92pPmKIwzY0-dtOBc1SBXf5vEswvuMtHlvDGqJ3FJjHdiaqVN7qZQvgGouO_cwXKGM3DU1q8dzgu2rqaRJNe8T1VKJEs_7Vj4zD3C7-ncIm_c7oZ7jWA8KcVkBppBdSUMPSl3Wj8esFw6o7rNoz6v_vkntXSzP8EXeyxCizlFyzQer_GKQf4M_2s4ve8X1EralWXDERMM37Pm-APlOs7MzTSxYJIt8t8Xli3UQbOhV8XFeWfk7kdE9XQQ9vmSUeGCzQWtjxNjWn16Z7dv7UsRoFtJLNfv-hVicZnT8N_dd5d5RTUfzyM8dNnAERQtRJBFhUDw4WE5XYzIkdsqWKXuvKTknxsDWc9ED1WUERV-exogu7LefRNBVqRyBBdJkobadPwOIr6jHfx76p33Nf_Kj4PVAOvNneQDFbHyrDUY6Qi5V5H-xkyPK3h0EzZijVGs3MlTL47TEBugCNoNl2fy-gI1Zu_I_6PCm7HShJx848XRLa09iZp_kb8Ldz-LdNpfBBLsXueiuvP5rnpNwY3uu4Y7TScZIbOqyxftr93J4HKpMrg_xxBoucSfiWf_Z9JwuI53Db9ZCBoPv0I2oZFDip-FPzN94Fs8BeoNdjUqYI3iyn1TRbz3i4LsCfwSOpXE_XttjjuPt_oiiiZZkfNubXn4hwdVY_ZA-dLJ-Bo5FUg_VmY2Xmd2S7Dpw5uQxLovO_tKALnPi6Qltm6XtQk8DSXAvW3eNtKqxhmPqdjMGpsMGgM1N8J-ovXGTOISIJLCg8rI_FUfrmr4f3Irdha3JzFcz8EjlHCg3dfgnKLmp_C2KpcGRfASQ86dZN71tef4VJSWDam2t8SrqfydbxE-DjHuTDKQWzJPhJSvm5nMcDhVny-zyURGBdPKDvSV5EHyvCCPtvI_Qe_GoQDbSjZpWJKWQvlW_b94NwGVMff4E9KsMaOEbJsTSftGOVEo6Mu7wQVs-a5Llbsg37K8vOIBd4Gs4DBXAjhAgXHwVqRiWHOen2nabojmuHyeGzIZ7Zwru7-L4SMXTXwMa_hVRUgXVab14y5us3WxNWxDHpbSUl_ObY3yCmPH1DYeHPlCmoFduhDrp--ToDnolJdBTmwqg6wiBSfxwHl2UuoHk_Z_pDx-3Uj6poqbFibOZnUmNwgSQTr3xubCtunzmB3cArKsuiwIuj8-NPl40w5Gz20DRByoL0q2gFYZBqVbT-x2ZkI-3ZOsIke2dhVxgu5rL7sZH0cVtxYFlAR2q1YrtiyvS4uNFgNITnuJhH3UlUHsF3jDWuiDBrj043N6HvnVoUE-x6SIbNuqXiFm8AsRyUEIgTKiTkP_QlcOfz6iZzDy9Y8jl5rkaGXwq1iDYmE9lBkJv12jIPAWuHU4NQe0rdrAKKgjgp_Et3KPDEhUuB5KR0B1FOdhlKg5Szidj25Zs0yGC_2mcSeftnzUSMglf8xIMZxdqxv7uIyPk-C9nIS6P_58gsRCiklxaZzFEqs_FthhdOCr-EFCcaKK544b6_Ix6l_vOq-niF8Q8rP6GHMf_tafbQHEMV6eZuZ6UVDa1qI_juqfBzG3ePMTcNRbD3TQfh_34IWd_RXlXWjsaFP1y6fgffCtasKdeb5lfcJ64FcKfm4JN0KJhZXUqIiJHr2xVaSvAH5_QxVRi2jUk2jGAV3bHpjwFv7YFY-D-Sw==\",\"summary\":[]}"},{"type":"toolCall","id":"call_OcO7x9f8WnrKgIYui7qgfwsb|fc_077a35cb5d0923b70169e8d3f8c71081959aa3c45d324eb95f","name":"bash","arguments":{"command":"cd /mnt/rpi/pi-config && git diff -- AGENTS.md README.md settings.json scripts/session-memory-analyzer.py scripts/session-memory-dispatcher.py extensions/session-memory-dispatcher.ts","timeout":30}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4-mini","usage":{"input":333,"output":178,"cacheRead":4096,"cacheWrite":0,"totalTokens":4607,"cost":{"input":0.00024975,"output":0.0008010000000000001,"cacheRead":0.0003072,"cacheWrite":0,"total":0.0013579500000000001}},"stopReason":"toolUse","timestamp":1776866294947,"responseId":"resp_077a35cb5d0923b70169e8d3f735908195b2100fc250f818ed"}} {"type":"message","id":"f1d6a182","parentId":"d812f529","timestamp":"2026-04-22T13:58:17.227Z","message":{"role":"toolResult","toolCallId":"call_OcO7x9f8WnrKgIYui7qgfwsb|fc_077a35cb5d0923b70169e8d3f8c71081959aa3c45d324eb95f","toolName":"bash","content":[{"type":"text","text":"diff --git a/README.md b/README.md\nindex 4095eb4..7976e1b 100644\n--- a/README.md\n+++ b/README.md\n@@ -28,8 +28,8 @@ Make this repo both the source of truth **and the live Pi config directory**.\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 prefers an external local dispatcher on `127.0.0.1:17882`; the hook only captures session identity/context and the analyzer performs the durable summary/ingest.\n-- The analyzer shells out to `pi run ...` so the session summary comes from a separate agent, not from the hook.\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 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`\ndiff --git a/extensions/session-memory-dispatcher.ts b/extensions/session-memory-dispatcher.ts\nindex be2b637..e64f9aa 100644\n--- a/extensions/session-memory-dispatcher.ts\n+++ b/extensions/session-memory-dispatcher.ts\n@@ -2,8 +2,8 @@ import path from \"node:path\";\n import type { ExtensionAPI } from \"@mariozechner/pi-coding-agent\";\n \n const DISPATCH_URL = process.env.PI_SESSION_MEMORY_DISPATCH_URL || \"http://127.0.0.1:17882/api/session-memory\";\n-const PROMPT_SAVE = \"Save durable memory\";\n-const PROMPT_SKIP = \"Continue without saving\";\n+const PROMPT_SAVE = \"Yes\";\n+const PROMPT_SKIP = \"No\";\n const PROMPT_CANCEL = \"Cancel\";\n \n function textFromMessage(message: any): string {\n@@ -118,17 +118,17 @@ export default function (pi: ExtensionAPI) {\n \t\ttry {\n \t\t\tconst result = await dispatchMemory({\n \t\t\t\t...payload,\n-\t\t\t\ttrigger: \"session-memory-analyzer\",\n+\t\t\t\ttrigger: \"session-memory-dispatcher\",\n \t\t\t});\n \t\t\tpromptHandledForCurrentSession = true;\n-\t\t\tctx.ui.notify(`Memory saved: ${result.id}`, \"info\");\n-\t\t\treturn { cancel: false, skipped: false, memoryId: result.id };\n+\t\t\tctx.ui.notify(`Session analysis queued${result?.job_file ? `: ${result.job_file}` : \"\"}`, \"info\");\n+\t\t\treturn { cancel: false, skipped: false, queued: true, jobFile: result?.job_file || null };\n \t\t} catch (error) {\n \t\t\tpromptHandledForCurrentSession = false;\n \t\t\tconst message = error instanceof Error ? error.message : String(error);\n \t\t\tctx.ui.notify(message, \"error\");\n \t\t\tif (!allowCancel) return { cancel: false, skipped: true, error: message };\n-\t\t\tconst ok = await ctx.ui.confirm(\"Memory save failed\", \"Continue closing this session without saving?\", dialogOptions);\n+\t\t\tconst ok = await ctx.ui.confirm(\"Session analysis failed\", \"Continue closing this session without queueing?\", dialogOptions);\n \t\t\tif (!ok) return { cancel: true, skipped: false, error: message };\n \t\t\tpromptHandledForCurrentSession = true;\n \t\t\treturn { cancel: false, skipped: true, error: message };\n@@ -148,20 +148,20 @@ export default function (pi: ExtensionAPI) {\n \t});\n \n \tpi.on(\"session_before_shutdown\", async (event, ctx) => {\n-\t\tconst result = await runPrompt(ctx, `before_shutdown:${event.reason}`, { allowCancel: true, title: \"Before exit: save durable memory?\", timeoutMs: 12000 });\n+\t\tconst result = await runPrompt(ctx, `before_shutdown:${event.reason}`, { allowCancel: true, title: \"Guardar insights en memoria?\", 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: \"Before exit: save durable memory?\", timeoutMs: 12000 });\n+\t\tawait runPrompt(ctx, \"shutdown_fallback\", { allowCancel: false, title: \"Guardar insights en memoria?\", timeoutMs: 12000 });\n \t});\n \n \tpi.registerCommand(\"remember-session\", {\n-\t\tdescription: \"Save a durable memory from the current 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: \"Save durable memory from this session\" });\n+\t\t\tawait runPrompt(ctx, \"manual_command\", { allowCancel: false, title: \"Queue session analysis from this session\" });\n \t\t},\n \t});\n }\ndiff --git a/scripts/session-memory-analyzer.py b/scripts/session-memory-analyzer.py\nindex ef80b93..e5cd985 100644\n--- a/scripts/session-memory-analyzer.py\n+++ b/scripts/session-memory-analyzer.py\n@@ -8,75 +8,38 @@ import subprocess\n import sys\n from pathlib import Path\n from typing import Any\n-from urllib import request, error\n+from urllib import request\n \n AGENTS_DB_API = os.environ.get(\"AGENTS_DB_API\", \"http://100.116.176.16:8091\")\n-OPENAI_MODEL = os.environ.get(\"PI_SESSION_MEMORY_MODEL\", \"gpt-5.4\")\n-\n-\n-def load_session_file(session_file: Path) -> list[dict[str, Any]]:\n- entries: list[dict[str, Any]] = []\n- with session_file.open(\"r\", encoding=\"utf-8\") as fh:\n- for raw in fh:\n- raw = raw.strip()\n- if not raw:\n- continue\n- try:\n- entries.append(json.loads(raw))\n- except Exception:\n- continue\n- return entries\n-\n-\n-def summarize_branch(branch: list[Any]) -> dict[str, Any]:\n- user_messages = 0\n- assistant_messages = 0\n- last_user = \"\"\n- last_assistant = \"\"\n- for entry in branch:\n- if not isinstance(entry, dict):\n- continue\n- if entry.get(\"type\") != \"message\":\n- continue\n- message = entry.get(\"message\") or {}\n- if not isinstance(message, dict):\n- continue\n- role = message.get(\"role\")\n- content = message.get(\"content\") or []\n- text = []\n- if isinstance(content, list):\n- for part in content:\n- if isinstance(part, dict) and part.get(\"type\") == \"text\" and isinstance(part.get(\"text\"), str):\n- text.append(part[\"text\"])\n- joined = \"\\n\".join(text).strip()\n- if role == \"user\":\n- user_messages += 1\n- if joined:\n- last_user = joined\n- elif role == \"assistant\":\n- assistant_messages += 1\n- if joined:\n- last_assistant = joined\n- return {\n- \"user_messages\": user_messages,\n- \"assistant_messages\": assistant_messages,\n- \"last_user\": last_user,\n- \"last_assistant\": last_assistant,\n- }\n-\n-\n-def call_llm(prompt: str) -> str:\n+PI_MODEL = os.environ.get(\"PI_SESSION_MEMORY_MODEL\", \"gpt-5.4-mini\")\n+PI_THINKING = os.environ.get(\"PI_SESSION_MEMORY_THINKING\", \"off\")\n+\n+\n+def load_job(job_file: Path) -> dict[str, Any]:\n+ return json.loads(job_file.read_text(encoding=\"utf-8\"))\n+\n+\n+def 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+\n+def call_pi(prompt: str) -> str:\n cmd = [\n \"pi\",\n- \"run\",\n+ \"-p\",\n+ \"--provider\",\n+ \"openai-codex\",\n \"--model\",\n- OPENAI_MODEL,\n- \"--prompt\",\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 run failed ({proc.returncode})\")\n+ raise RuntimeError(proc.stderr.strip() or proc.stdout.strip() or f\"pi failed ({proc.returncode})\")\n return proc.stdout.strip()\n \n \n@@ -91,83 +54,124 @@ def ingest(memory: dict[str, Any]) -> dict[str, Any]:\n return json.loads(resp.read().decode(\"utf-8\"))\n \n \n-def main() -> int:\n- parser = argparse.ArgumentParser()\n- parser.add_argument(\"--session-file\", required=True)\n- parser.add_argument(\"--session-id\", default=\"\")\n- parser.add_argument(\"--cwd\", default=\"\")\n- parser.add_argument(\"--reason\", default=\"\")\n- parser.add_argument(\"--scope\", default=\"global\")\n- parser.add_argument(\"--user-messages\", type=int, default=0)\n- parser.add_argument(\"--assistant-messages\", type=int, default=0)\n- parser.add_argument(\"--last-user-text\", default=\"\")\n- parser.add_argument(\"--last-assistant-text\", default=\"\")\n- parser.add_argument(\"--branch-json\", default=\"\")\n- parser.add_argument(\"--trigger\", default=\"session-memory-analyzer\")\n- args = parser.parse_args()\n+def 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- session_path = Path(args.session_file)\n- entries = load_session_file(session_path)\n- branch = json.loads(args.branch_json) if args.branch_json else entries\n- stats = summarize_branch(branch)\n- if args.user_messages:\n- stats[\"user_messages\"] = args.user_messages\n- if args.assistant_messages:\n- stats[\"assistant_messages\"] = args.assistant_messages\n- if args.last_user_text:\n- stats[\"last_user\"] = args.last_user_text\n- if args.last_assistant_text:\n- stats[\"last_assistant\"] = args.last_assistant_text\n-\n- prompt = f\"\"\"You are summarizing a completed Pi coding session into one durable memory.\n+\n+def 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+\n+def 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 \n Rules:\n-- Keep only durable, reusable information.\n-- Prefer one concise episode memory.\n-- Do not mention raw transcript mechanics.\n-- Focus on stable preferences, decisions, project facts, blockers, or next steps.\n-- Output plain text only, 1-3 short paragraphs max.\n-\n-Context:\n-- session_id: {args.session_id}\n-- session_file: {session_path}\n-- cwd: {args.cwd}\n-- reason: {args.reason}\n-- scope: {args.scope}\n-- trigger: {args.trigger}\n-- user_messages: {stats['user_messages']}\n-- assistant_messages: {stats['assistant_messages']}\n-- last_user: {stats['last_user'][:4000]}\n-- last_assistant: {stats['last_assistant'][:4000]}\n-\n-Session transcript JSONL:\n-{session_path.read_text(encoding='utf-8')[:50000]}\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, or a blocker that will matter in future unrelated sessions.\n+- If nothing durable exists, return save=false.\n+- Output JSON only. No markdown. No extra text.\n+\n+Return this schema:\n+{{\n+ \"save\": boolean,\n+ \"type\": \"profile\" | \"decision\" | \"project\" | \"artifact\" | \"episode\",\n+ \"subtype\": string | null,\n+ \"scope\": \"global\" | \"project\",\n+ \"title\": string,\n+ \"content\": string,\n+ \"source_ref\": string,\n+ \"reason\": string\n+}}\n+\n+Session 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+\n+Branch excerpt JSON:\n+{json.dumps(meta.get('branch') or [], ensure_ascii=False)[:30000]}\n \"\"\"\n \n- summary = call_llm(prompt)\n- payload = {\n- \"type\": \"episode\",\n- \"subtype\": \"session_close_summary\",\n- \"scope\": args.scope,\n- \"status\": \"active\",\n- \"source_kind\": \"manual\",\n- \"title\": f\"Session summary: {Path(args.cwd).name or 'session'}\",\n- \"content\": summary,\n- \"source_ref\": f\"pi-session:{session_path}\",\n- \"origin_agent\": \"pi-session-memory-analyzer\",\n- \"metadata\": {\n- \"reason\": args.reason,\n- \"cwd\": args.cwd,\n- \"session_file\": str(session_path),\n- \"session_id\": args.session_id,\n- \"user_messages\": stats[\"user_messages\"],\n- \"assistant_messages\": stats[\"assistant_messages\"],\n- \"trigger\": args.trigger,\n- },\n- }\n- memory = ingest(payload)\n- print(json.dumps(memory))\n- return 0\n+\n+def 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 = {\n+ \"type\": analysis.get(\"type\") or \"episode\",\n+ \"subtype\": analysis.get(\"subtype\"),\n+ \"scope\": analysis.get(\"scope\") or meta.get(\"scope\") or \"global\",\n+ \"status\": \"active\",\n+ \"source_kind\": \"manual\",\n+ \"title\": analysis.get(\"title\") or \"Session insight\",\n+ \"content\": analysis.get(\"content\") or \"\",\n+ \"source_ref\": analysis.get(\"source_ref\") or f\"pi-session:{meta.get('session_file') or meta.get('session_id') or 'unknown'}\",\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+ },\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 \n if __name__ == \"__main__\":\ndiff --git a/scripts/session-memory-dispatcher.py b/scripts/session-memory-dispatcher.py\nindex 8342bb1..fa7e228 100644\n--- a/scripts/session-memory-dispatcher.py\n+++ b/scripts/session-memory-dispatcher.py\n@@ -4,11 +4,38 @@ from __future__ import annotations\n import argparse\n import json\n import os\n-import sys\n+import subprocess\n+from datetime import datetime, timezone\n from http.server import BaseHTTPRequestHandler, ThreadingHTTPServer\n-from urllib import request, error\n+from pathlib import Path\n \n-AGENTS_DB_API = os.environ.get(\"AGENTS_DB_API\", \"http://100.116.176.16:8091\")\n+BASE_DIR = Path(__file__).resolve().parent.parent\n+JOB_DIR = Path(os.environ.get(\"PI_SESSION_MEMORY_JOB_DIR\", BASE_DIR / \"sessions\" / \"session-memory-jobs\"))\n+ANALYZER = Path(os.environ.get(\"PI_SESSION_MEMORY_ANALYZER\", BASE_DIR / \"scripts\" / \"session-memory-analyzer.py\"))\n+\n+\n+def 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+ \"payload\": payload,\n+ }\n+ job_file.write_text(json.dumps(job, indent=2, ensure_ascii=False) + \"\\n\", encoding=\"utf-8\")\n+ return job_file\n+\n+\n+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 \n \n class Handler(BaseHTTPRequestHandler):\n@@ -29,29 +56,13 @@ class Handler(BaseHTTPRequestHandler):\n self.wfile.write(json.dumps({\"error\": f\"invalid json: {exc}\"}).encode())\n return\n \n- req = request.Request(\n- f\"{AGENTS_DB_API}/api/ingest\",\n- method=\"POST\",\n- data=json.dumps(payload).encode(),\n- headers={\"Content-Type\": \"application/json\"},\n- )\n try:\n- with request.urlopen(req, timeout=20) as resp:\n- body = resp.read()\n- self.send_response(resp.status)\n- for key, value in resp.headers.items():\n- if key.lower() in {\"content-length\", \"transfer-encoding\", \"connection\"}:\n- continue\n- self.send_header(key, value)\n- self.send_header(\"Content-Type\", \"application/json\")\n- self.end_headers()\n- self.wfile.write(body)\n- except error.HTTPError as exc:\n- body = exc.read()\n- self.send_response(exc.code)\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(body)\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\")\ndiff --git a/settings.json b/settings.json\nindex e9c72a6..3867bcb 100644\n--- a/settings.json\n+++ b/settings.json\n@@ -2,7 +2,7 @@\n \"lastChangelogVersion\": \"0.68.0\",\n \"defaultProvider\": \"openai-codex\",\n \"defaultModel\": \"gpt-5.4-mini\",\n- \"defaultThinkingLevel\": \"low\",\n+ \"defaultThinkingLevel\": \"medium\",\n \"enabledModels\": [\n \"openai-codex/gpt-5.4\",\n \"google-gemini-cli/gemini-3-flash-preview\",\n"}],"isError":false,"timestamp":1776866297224}} {"type":"message","id":"825bed36","parentId":"f1d6a182","timestamp":"2026-04-22T13:58:26.070Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_077a35cb5d0923b70169e8d3fa5b4c8195a0fd9cd3637f3f36\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp6NQBWclVIxMT04Se8LQy8eblJkqHPlSayWH15w2YzO-ftghm4brg78hTrnHLqrnviCwRXQbXRcGBcEMfPnuOVMBIAlq9QJmP8ZpBuYXHMW7WMHGW4n1-nlJB59kDsLDBv-L2DsxMi3M9fYGVprLwxbItnQDn-JXBXR_eCsqOpCYoxFuIUSw_SHWW8GJII-hn-d01SWbycbfQCkchS7UQoFiPRXzjQXYP_1R16VcAVN1tFxYZJDE4WqNas2LNbr736KADrVc7CxjixIjcgO28IvqPkpuAU1gJ6CmhvYuuapwsh7r04IlqG_EhzRbAAJQQvmc1cTD67315OXT5jGgszXzkBC4coJYkklpN8RAufCSOfU5604t-w--gv4qx2l8O-zY1ZgeXo6-u4QVnvTgLcnvw3pohHZ149eHYm8YTWmTMeODfVNfOV9tDoDHvOnE38QQJoy2OZ6Ym5hJSpBOkTYCPY95OEqsvzjFMO0R9JYQvfSUi3vu86NOlEw1YcCX4Kz-s5MZfPzp-lxiry3PxMqjD4HZ1DqHMDle1FK5he-OnYSWAACk1XqWF_ryLMA34z8JUMTueSNB6zpGtXPjPWQmmLeMfmeeYBgz8deztJzxAJWPyCXtFHrPQVHxGEJ5eERBOJAOAFBgebH7PWM_QECDQ0AWeyyLHb2sF2OaJAQeCp9H7kwmcUn7Hhgyzze82IgbEnGdnBUHAZ8c_GJpK5hsnJQPEBrZ-BsLp2OlTnAdvhvS9Qrxmdlr1iFRBzVVMAT2hGMdi-A_5OBv3epfOQB1d-OwqegP8jaIOmCo9U8Q_ASz5zUN4bod31RstscWPBYlo1dK8e2kSc9BLpm6gHIbi7hpa7LcTRCr8HXzoLjLE-DQia0NG33QWfn8S1N1GH54VguazHMB0w1z48v3L5eEqTZ16XwsBvcp3ATr2B65NK9KawSMmdRc_W_da23NtEMED-Lm_yDcvBtIZuo2KU3pcxJldiZbDiz7sp5lfH_JE7HGHvH-TYKsoPZraN9eH7wWWh7Y7_m-L_1Vn7K0AtpXF2uYX7OpPzV4eBxYz70O7aQnnx6B5Ww0fXKDo0BzwOf92qEyhcs54961ui8s2OKmSz4_7eHE29OHEJE1VUC7nfXGTx8ZSpY_6GMaHzcOlFRmtZvsquqEqHYz0MXdtBi4jPLBp6cvO5qodyi8zBi2pq7WssDaiZ9FqOZOLG3E_YQZZ5N7IBFUOXXM0RNGEoCcQ4UGQyZpyG0MWX_YfRF6O-Ce9AIT8tgE-YPjJch0La4qV77u7wyXIPQMNAmZhLnQ6_bcEOp9_iyNCnw1XENxxEV2I3r77EaRKrJXSVjSAfhnKceA5O7WQEA4a9G8uaxentajrzvUswkHaHJjJrBSN69kxWw9iW7yparB7bzpBYwfBMDx8UGt3_BuvwrCq-VwPZK9g5MXdJoYirG4NBhyCJDZgo9YiCOlWLjVjmYN1bhYCIqtjX1lcR3w5JSBBAGaNFp1--VMb5_c3SZSQjf-GCUKy9Khu5KZein_T4QupbQKhM-P_H32y5SJqbiQ0WougQgMuIefqIOdd6H0WLultuu5RBEKUoXOcv2HnQeUF92jwfMBR0MHefVnvfZsaSpUJt9_tsmTo-n_Ly0mKnoRhCqlg-AWRrpTqlxMNjDFavdGZWjLJYiUQYt85mc0HKNRxAtKBwESupRiGtGtc02vADMpjVwhv5l6o5hXEMz1W1mnTGO7lSEp20ehaYMCUtBAQhgb9JI3XFrZMtNYmd1neaKs9E2N6j34LsaELzuTJq-9teA_Li2EtFAOwXeqH1p9CA8kpra6mDUVWyM7_jmxffpzVIqJCVQgQBh1536Mrsq_NxJWj7WxHuOkWnN8R1quuqCJZ6c-_uF_N6lSWbgQsKJK6ZnCr3ZZFYUfWAIM8CZcJrF4f5EFBXlL4Q8AFTO_gtFsqrjSwPOQP2pm0JKNJIO-20t853yTRI9EUr6hIxLHWWYGr26EVCGPGLXyh-bk3D-i0PlA-wrdSuHJtxnC70nHABfb7Y56cHY9fVFpfLYsWyUD_WqLXHLtpsFhrb1Q15voH0A3HaQ5W86sCcFjwUjSFuhPMwZalWfZnAt-yCVJZ4txYcvHW7eFiD5nG9pYqTGcBmSB-AZBfVmhDYYqQJqBqYmS4DF5uvmxPfGvrVmIGUR3tAKjIL8yiVQuoWW1SIhgONbNaywPjXS8nOMbxRmPewNYoQ5c0OuJa65hFo6X33njZEQSgWjWXPHgiPcng0PrKMAGG8WZKqwI9RY7YEYs=\",\"summary\":[]}"},{"type":"toolCall","id":"call_YgeqG1PeHX7qzioGjv9T1twn|fc_077a35cb5d0923b70169e8d401a2548195a5147ea5e4a1e17c","name":"read","arguments":{"path":"/mnt/rpi/pi-config/AGENTS.md","offset":1,"limit":300}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4-mini","usage":{"input":5318,"output":240,"cacheRead":4096,"cacheWrite":0,"totalTokens":9654,"cost":{"input":0.0039885,"output":0.00108,"cacheRead":0.0003072,"cacheWrite":0,"total":0.0053757}},"stopReason":"toolUse","timestamp":1776866297228,"responseId":"resp_077a35cb5d0923b70169e8d3f9cf0c8195a0e6b3ad32f7d268"}} {"type":"message","id":"4f758fb2","parentId":"825bed36","timestamp":"2026-04-22T13:58:26.104Z","message":{"role":"toolResult","toolCallId":"call_YgeqG1PeHX7qzioGjv9T1twn|fc_077a35cb5d0923b70169e8d401a2548195a5147ea5e4a1e17c","toolName":"read","content":[{"type":"text","text":"# Agente Personal\n\n## Comunicación\n\n- Seguí la configuración de comunicación del sistema.\n- Mantené respuestas muy breves, directas y en castellano argentino.\n- Cortá relleno, pleasantries, hedging y muletillas.\n- Priorizá intención, precisión técnica y acción inmediata.\n- Si hace falta detalle, pedilo con una pregunta corta.\n- No cambies este estilo por inferencia, tono o simpatía.\n\n## Intención\n\n- Priorizá impacto de negocio.\n- Reencuadrá lo técnico hacia el objetivo real.\n- Hacé solo preguntas que cambien alcance, riesgo o criterio de éxito.\n- Ejecutá completo una vez aclarado.\n- Mantené enfocado el hilo principal.\n- Usá subagentes para reconocimiento, trabajo en paralelo o aislamiento de contexto cuando sirva.\n- Usá Agents Database como memoria compartida durable.\n- Guardá preferencias de alta señal, decisiones, hechos del proyecto, artefactos reutilizables y contexto breve de handoff cuando sirvan más allá de este chat.\n- Preferí pocas memorias fuertes antes que muchas ruidosas.\n- Este repo de configuración del Pi es el lugar principal para seguir evolucionando estas reglas.\n\n## Reglas\n\n- Las acciones irreversibles requieren confirmación explícita.\n- Nunca hagas merge ni push a main sin confirmación del usuario.\n- Mantené respuestas directas y con poco ruido.\n- Marcá contradicciones cuando importen.\n- Código, comandos, commits y texto de PR: formato técnico normal.\n\n## Contexto de la máquina\n\n- **Esta máquina es `ballbox-first`.**\n- **No** hagas SSH a `ballbox-first` para trabajo local normal. Ya estás ahí.\n- Esta Raspberry Pi funciona como estación de trabajo y servidor para el trabajo diario de Sebas.\n- \"el servidor\" suele referirse a esta misma máquina, salvo que el usuario hable de otra.\n\n## Detalles del servidor\n\n- Hostname: `ballbox-first.emperor-ratio.ts.net`\n- IP de Tailscale: `100.116.176.16`\n- Máquina 24/7\n- Nginx en `:80` enruta a otros servicios locales\n- API de `personal-agent`: `http://100.116.176.16:8082/api/status`\n- API de `agents-database`: `http://100.116.176.16:8091/api/status`\n\n## Exposición web / Tailscale\n\n- Para apps web locales, preferí publicarlas detrás de nginx en `localhost:80` y después exponer ese puerto con `tailscale serve`.\n- Preferí subpaths tipo `/cli/` antes que ocupar `/` cuando ya existe portal/home.\n- No asumás que una app con UI es un web server; muchas son GUI/Electron y no sirven por navegador.\n- Para `code-server`, usá proxy por nginx/subpath. No intentes poner `server-base-path` en `config.yaml`; si hace falta base path, va por CLI o systemd.\n- Si una app solo vive en Tailscale, desactivá auth local cuando no agrega valor y el acceso ya queda restringido por tailnet.\n\n## tmux / TUI\n\n- La arquitectura tmux/persistencia vive en `/mnt/rpi/pi-config/SERVICES-ARCHITECTURE.md`.\n- Ese documento es la fuente de verdad para `pitmux`, `piresume`, scroll, bindings y el modelo de persistencia.\n- Si tocás tmux o el launcher de `pi`, actualizá primero ese archivo.\n\n## Playwright\n\n- El CLI `playwright-mcp` está disponible.\n- Preferí Chromium en modo headless.\n- Evitá Firefox/WebKit salvo que haga falta.\n- Cuando un repo soporte tanto rutas e2e con dev-server como rutas estilo producción, preferí la ruta estilo producción más estable en `ballbox-first` si la orquestación de Playwright `webServer` falla o se pone inestable con el dev server.\n\n## Almacenamiento / tooling compartido\n\n- Para herramientas locales durables de la máquina, harnesses, cachés o artefactos compartidos que puedan crecer, preferí ubicarlos bajo `/mnt/rpi` en vez de `/home/sebas`, salvo que haya una razón fuerte para no hacerlo.\n\n## Contrato de temporales del agente\n\n- Para trabajo temporal del agente, preferí el temp root gestionado (`AGENT_TMP_ROOT`) sobre `/tmp`.\n- Usá `bin/agent-tmp-run --scope scratch|logs|handoff ` para ejecutar comandos con `TMPDIR/TMP/TEMP` en rutas gestionadas.\n- Contrato oficial: `TMP_CONTRACT.md`.\n- Limpieza contractual: `bin/agent-tmp-gc`.\n- Cadencia esperada de limpieza: cada 6 horas.\n- Si un archivo/directorio temporal debe sobrevivir limpieza, usá marcador `.keep`.\n\n## Helpers de laptop\n\n- Existen helpers CLI para acceder a la laptop de Sebas por Tailscale SSH sin recordar el host manualmente.\n- Default host actual: `sebastians-macbook-pro-2`.\n- Helpers disponibles:\n - `laptop-read `: cat remoto por SSH.\n - `laptop-run `: comando remoto por SSH.\n - `laptop-rsync [extra args]`: rsync vía ssh.\n - `laptop-mount`, `laptop-umount`, `laptop-write`: flujos de acceso/copia.\n- Si hace falta descubrir la IP/host actual de la laptop, usar `tailscale status --json` y buscar peers tipo MacBook.\n- Si una tarea menciona “archivos en la laptop”, preferí estos helpers antes que armar SSH manual.\n\n## Telegram\n\nVariables requeridas:\n- `TELEGRAM_BOT_TOKEN`\n- `TELEGRAM_CHAT_ID`\n\nComando de notificación:\n```bash\n~/.agents/skills/telegram-notify/telegram-notify \"Mensaje\"\n```"}],"isError":false,"timestamp":1776866306075}} {"type":"message","id":"3553bef5","parentId":"4f758fb2","timestamp":"2026-04-22T13:58:33.745Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Clarifying translation scope**\n\nI need to respond directly to the user. I should decide if I need to use tools and confirm the scope for converting everything to English. The user wants to know if this means all documents, comments, logs, and UI strings or just user-facing text. I can ask a concise question to clarify this.\n\nMaybe I could say: \"Do you want me to translate only the visible texts (like README, strings, and docs), or also comments and identifiers? Should I commit the current changes now?\" This way, I cover both points!\n\n**Determining commit and translation scope**\n\nI might mention that AGENTS.md is clean, and the current changes are in other files. I need to ask the user what they want to commit and clarify the scope for the English conversion. \n\nUsing a questionnaire with two questions seems appropriate. I could phrase it in Spanish to better communicate. I'll make sure to ask clearly so I can provide exactly what the user needs!","thinkingSignature":"{\"id\":\"rs_077a35cb5d0923b70169e8d403016081958ffce8aed5b12557\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp6NQJsVv652tDKqvWPW3dpgrgtjc7xAUvwTeAVVq6B89wSBmVdzVu0o1wIrcrZmu0_DaKS3UTuCLf-g7IxXWe0cqhk8ccM-de5OWQMKVDDReAlWcB2--q8PdSQx96rJ7GGfR7Dnsm3GbsSEoycxpxlWpuZYOAcys3M3RhqmmE1ffsxR6MqG1owpLncGop5GNfMvOKwybxis28rn_jseKbo0PA0t4HreXDZ2RiO9HtjjJ3ynNGcxk6zAN4VvBntKJZwMHqvQauE4vCVAy0yx52hKseSBDqWmlzTt9-T2qOCc1OofA1bnKaQCdF5crBVmHes0mGnKOamIkIoRtCji-VXFYA7V2tIf3Uei8Q7wVBG9YTusc36ACNb-8aOsggvWhunPdEujfkig7ZwkR1Sm7UTmmpNHt4YQtwrER-ACxSxeNnGgyK1-MTjJh_hmH70cjg7w3a_nztvj0ZCJVORhXDge0KnTvKO0mcUBDzmOfXkQpnUhRTa2BWqYVJqFoELWj6qnJIEiEti0UnYi-9yQueciISZBr4QLxMMBkv5Ie6xEM3nANsatxoOsXdlzxMtdot5Qw08QGjWochic3YqYxqSQzYM5GJQhTd1X01Mk-mkK7WgXD1uW_bnO7Zq-yW8aJ2ES97imLKyfpo20XFONfp7vggbgZnDtXy-6Enmqd7v2ZI4U4TGrfkfNVhsAqTLcn1jlcaodyADnNtKEsTRWq6BOb4e0B2c0zq0S5e7p2g0ok5-JZb_uTc43vVJoZLp5pZkVE8vKhD8mEhDn1jVdXAmTzNKsJqjFeNIFRjwiuc9EQ4rn2Ch3SSRlGNOnkrYkq2kyQaP8bkoPkrfrprfwPujnLw3BSvlh8wr4iM3qH7yKoXkqhjwwDXLZURm_mABedVGWhaCc4fwOetu14mM8OzR5iOVmiR8mMmDO3OTufQmz8YBuWzXVIFxMFjf-9aljw4qlSXv_-FPvI-tSU0bs7DXcT82rVAMJkwdNt6raYJiyyKHWI7CiQX5LLGsN5RBcvnZqMts9Ed24WuC6v8dvZG1SSMWARnwtsSWRhdGcFvLi0_QZ-oQJHgYIeULuFLXma6E6vIPtalJ7JBp1EulMz25_MvF71o4BM9EKAta6AU1q3YYgxMr2ZF4lpDaVa2_Pie31vxZroCQpMf5PROKtW2Dn52u0RwusZZYYxKUlUtWRsRMLjtT0PtI7Rv0VHmlRZhV955cxfiacQjGoFKj3qHrBvfQChA4SlY5SlzBK_m2h3pNt2fmhlnLWm1fHyg7e0htsSRmYOD5STPjNMCn9QWC4pezzQWTcMEKRhO_8DEwTH_HTKIvg9zgo9vUFGCWJXQmRcZuBgClOGinIJ_JUfqxYdX-h7iT8kQAtOgSakMOWrRP1CfJUeid8Nb5vNWUMZdJLnH-1Y8pyXp8QGo_EOjMX4UpYP_maAfRk07YUsDN90uZCi6AdiRV8pCVTTY7mKCaauDXkc7obgt1s2ZxJv2ly_yjtKA_qImTTZydsqqtf9P7tz3c6G4i6R3qvuJ3WAeaxIDbcXyCBRrl2_nUnya5Pg4_2_duS0wAbMnhVC7Yq5g9kLVTV0Y4AYnUTNjbRtw22K2bSPeE7cxd5bPd2dtGO5_8rcRVzfSEt_LkP60ho0DJjccqxDUl8IWusiO19EMoBatu-TMDKVKrTZj08T7tCt2hn_YTJsr4CqQpS2EoBTywnm8cZMDkCS0A17UdkS-Rdt16y1R_n9s37xiwFqJA9O1aflXc68UxQwK02RahCMG1x0IwZeoY165W3C0thJ1dXd_dkjkjpJ5hOWv-AC_B5qlnBxXsAUqfvEWE8C06E_OFU3scM6upbyu53EyzkY8uJcx0o-93Olroi0gwGTgQ4a4qg6wvra-XTItB5VblhDxIBHXPoC7OJz78SrWpl53urJP8KymiLEWro2vNoi8K3wwvhDGq3nMJqz1YuD4LfcE547DUUCxY5epPDTv7aApu0sHv1MQeJMRIGhcTqvx2dc_aP79QYnjfoFQzSxyMZ-znr79BrImlG0FnYNwwF_tIAp2nyOWIUI5AbFqhc9AgLb-wklqvwt7QfVzgIClpZnt7LMtqWaiTIfyxtRVQX0mfQaOhoDKvLn1cVTVg4wtF5-QqpMs9VYQzV5NjTVM2Lz4bYgpfZgOIuTxTGSHoIJ40omUsO0mOKz4dEhFxvIcQzXobYBDl5o0jgy4c_czfb4IwpVMnoqAuLXET-FhymLaLXB8CqW58fbX79W0sGsMepw386xFNYRnp6oMI7zQQTyuSlFgqnUmujnnP-5EWorVbAwY1DhhjaCTXLItxSAuQuKwc9P36078mMzjlnlaChZbKKoRBidZfYo3yqdJ5P171Qn4-o35rKqileBauK6PHtTn-90KYviNyht0_VV_6FW-us7C4E01QgWkpBa26TjtGfYY\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Clarifying translation scope**\\n\\nI need to respond directly to the user. I should decide if I need to use tools and confirm the scope for converting everything to English. The user wants to know if this means all documents, comments, logs, and UI strings or just user-facing text. I can ask a concise question to clarify this.\\n\\nMaybe I could say: \\\"Do you want me to translate only the visible texts (like README, strings, and docs), or also comments and identifiers? Should I commit the current changes now?\\\" This way, I cover both points!\"},{\"type\":\"summary_text\",\"text\":\"**Determining commit and translation scope**\\n\\nI might mention that AGENTS.md is clean, and the current changes are in other files. I need to ask the user what they want to commit and clarify the scope for the English conversion. \\n\\nUsing a questionnaire with two questions seems appropriate. I could phrase it in Spanish to better communicate. I'll make sure to ask clearly so I can provide exactly what the user needs!\"}]}"},{"type":"toolCall","id":"call_khogKEdjiwHeDZJKm8pXYSMo|fc_077a35cb5d0923b70169e8d40917d481959b3c4c23b171954d","name":"questionnaire","arguments":{"questions":[{"id":"commit_scope","label":"Commit","prompt":"AGENTS.md no está modificado. Sí hay cambios en README, scripts, extension y settings. ¿Qué querés que commitee primero?","options":[{"value":"current_changes","label":"Commit de los cambios actuales"},{"value":"only_agents","label":"Solo AGENTS.md"},{"value":"review_first","label":"Revisar antes de commitear"}],"allowOther":false},{"id":"english_scope","label":"English","prompt":"¿Qué querés convertir a inglés?","options":[{"value":"user_facing_only","label":"Solo texto visible al usuario","description":"README, prompts, mensajes, docs"},{"value":"repo_wide","label":"Todo el repo","description":"Incluye comentarios y strings internos"},{"value":"specific_files","label":"Elegir archivos"}],"allowOther":true}]}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4-mini","usage":{"input":10923,"output":422,"cacheRead":0,"cacheWrite":0,"totalTokens":11345,"cost":{"input":0.00819225,"output":0.001899,"cacheRead":0,"cacheWrite":0,"total":0.01009125}},"stopReason":"toolUse","timestamp":1776866306105,"responseId":"resp_077a35cb5d0923b70169e8d40277f8819589de5e7a74612f5c"}} {"type":"message","id":"7d318ee4","parentId":"3553bef5","timestamp":"2026-04-22T13:59:33.108Z","message":{"role":"toolResult","toolCallId":"call_khogKEdjiwHeDZJKm8pXYSMo|fc_077a35cb5d0923b70169e8d40917d481959b3c4c23b171954d","toolName":"questionnaire","content":[{"type":"text","text":"Commit: user selected: 2. Solo AGENTS.md\nEnglish: user wrote: el copntexto al llm. agents y si hay algo mas tambien"}],"details":{"questions":[{"id":"commit_scope","label":"Commit","prompt":"AGENTS.md no está modificado. Sí hay cambios en README, scripts, extension y settings. ¿Qué querés que commitee primero?","options":[{"value":"current_changes","label":"Commit de los cambios actuales"},{"value":"only_agents","label":"Solo AGENTS.md"},{"value":"review_first","label":"Revisar antes de commitear"}],"allowOther":false},{"id":"english_scope","label":"English","prompt":"¿Qué querés convertir a inglés?","options":[{"value":"user_facing_only","label":"Solo texto visible al usuario","description":"README, prompts, mensajes, docs"},{"value":"repo_wide","label":"Todo el repo","description":"Incluye comentarios y strings internos"},{"value":"specific_files","label":"Elegir archivos"}],"allowOther":true}],"answers":[{"id":"commit_scope","value":"only_agents","label":"Solo AGENTS.md","wasCustom":false,"index":2},{"id":"english_scope","value":"el copntexto al llm. agents y si hay algo mas tambien","label":"el copntexto al llm. agents y si hay algo mas tambien","wasCustom":true}],"cancelled":false},"isError":false,"timestamp":1776866373108}} {"type":"message","id":"d2def3db","parentId":"7d318ee4","timestamp":"2026-04-22T14:00:04.543Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Considering translation tasks**\n\nI could translate all comments and strings to English, which seems manageable and broad. I need to check if the user wants code identifiers too—but probably not. Given the phrase \"agents y si hay algo mas tambien,\" I might focus on user-facing elements and documentation. I can translate AGENTS.md and any repo docs, comments, or messages. Many modified files already have English strings, though some titles remain in Spanish. I should decide whether to commit changes now or after further edits.\n\n**Considering file writing**\n\nThe user has selected only AGENTS, so I'll focus only on that. Using the write function on the file seems easier than editing since I can capture the entire content in one go. I think I should craft the information in English without mentioning \"Argentine Spanish\". I want to keep the same structure and include similar instructions, writing the entire file cleanly. This approach should make it straightforward for them!","thinkingSignature":"{\"id\":\"rs_077a35cb5d0923b70169e8d4469d2881959e07a5d80ed7b759\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp6NRdKrUYdeck0ljbdt26zL6OzdEon_TvcufpfHMjFctaZTYp4X4wk6aGHgvXYKWQv0MZhg04_acbvPksElXYu1qyfGWJsP1-51WQmrokSwZHR8-N83fyxh1Wf2QSXxESlpnT5Ggf0KfRcmK_ou4yMCrHihL0SXNsqHqRXWVxtyVXRpkVcqZ5ggpMeFYj0E4telt5wxdLb_WzMNstoRa7laKNNchgOimRfk4Da2Nr3difJJsmIXE_sQcRBq7P9vUGWlpZFUGiVlbc4MfxQ1YchzLko8D8o6CBGxTy7oGD4Kg5sGXVaev5hc6hlo2TiMwcqpnP7pFvNW3tQluKfvwrRLuiJY8xhW79WeV_SDAWVpXOJFvM37GCTfDh2gHKDadbZ4Vj4Rf51uAPC_pXQ_L33sMNfDzFyP6qBjEwKmsDJt64oK-bfmrln0xZO701BcZI7VnWHmdn4qz-7ih0xq-Jqi8-mBHrN5Vh2mgNBO6P6S39I4QOzrzs78G-nUmwv99_ExSbKuAYxIiF6bQE7ILJHyLZE4hqKRVnnTCkcwIed1OuQ9rlt4OuYFrasHrI8k-CiYK_E-5H6OGBi0b1O86mFX2KD85QbxYpuSzEfOhP8V9qEk2IemVe2oKHcSgEUKUTHJruXmWAakYGZP9u_A5xrDvH6MGhZo6LgWqAskOpiaHMEl1RHYzJza5VEpT4c2VBsh4vq3On6pMV3l3DpvgE-VYnYDyZCqNr9habaZEnIGnPNf_DR4Jc9KUxQ_NiRpyxr3iN9uooWP3kH5fWoHa_FolecaqftuGRf-eZbYxCxg5rZBGIDt_cz2rg6moJS6pnTIG5o6mBVStNSLNJoNtWzFnjJ44ec4hvy2fooY4WIj2m8uXOfm4kMvpxB9oiSNpjb7PkPpjzMidTqf7h9jRunIiq0JoIPn1fF-3pkdcDxxr-skoSgQ3Bu5pY55AtAtVb8VSloRqO5MDwAMxn20YDt46a_8al82kpioRFWZcXwI4u1xGub4jUsBcjUk95T6gWPGreW78I34uVkr3P6K3l7WrXr61GZZE0bmb-bapkxP8INdG52aQSNUDdrSkQLvO-pPh-2YrVAfdcIxTo4152JlIco5_8OstlERavt7_5q98jZyw8UZxZA4p16lYAn3vBKWIv6ayNb91EFp2XFNiW6UMO0UJTf5tmEQNIh1Sa6x8xqNrTQp2qx7ZXfV6C6VFZ18QADFKnzbnD0TTOchPR6AQDQaxzfzpvlcJWraf6jG-pX6f9frZ1jGJqLRdEGQUp3AnKi4k9ztKvYu_F33UkPGzWVQtS0uoKlppBb5e4W8Qa0cytut0WnC9HdodBGANILwu26dWSPXhl6hNqVN65ZM_U7uafV0bG7p21IiqlyD_zPxVccNCBLguJ0qssYu6zEDGk1-yT2qiySycuwDfqxuSUzFoE5UMt_sPoyap-m3s-P4V7DJDMQ561dnavY_BfeZjymUIBVvCVZyrFbyz-29dv_9ZzGjlIPtQXZtH7DFr1v6qqUYqbuOQ_RUD3u5XZEaBNQ5hQKcV9LAIPnWC5Jkx00wLN-RjWincnlTA_01dRrUCzS0Je0JiY7VIIYVSZn0MmTQ5iC1JEogFwhQNPSoV6RtGuuDpDP9Mfz_Um0E4FSO5cJ2N-EBsbFrEyr13z2ZpawX2lQsI-xUjLEV1I39rq9ec7HY1bOsNIkqOciyKCvk6v3sctFW1REY08msJwdji3JpW73_jQ2572M1MnJdTCFPjFUsF5OT1lkuEafyGMa7Gir5WXbQL3x0MQiF9eaa6q7WFJtfgi46wzQtfexdgcxfmjMv0GAwXjUQcQM6652AHezEkVLNm9K5umFWQkBQB4ou_1BzxAiRTTVq3Rxv_5se6mu8Fi41Gb4YHDgiin_OJIrYcaGSjkqhcHuSIHkRZg0zbfhHAOqFhRRkB9wzoHo_vnYlBZCTJ4YjBdOLLQnPCuio3ZeIL4iCOGnOXhX01ObBPRKPpinF8GK2zfpH30x6yEyGf5-rQgWmiQRIjk1wu3lfuctiinAKoG8YOuGGgErU3XSuPGX6Abvg5eS03djzimRrtyTVIrOjR-M2S0T8PC9laNE8ax2Q3TTTWP_e6v9mN5c-2uW7-uWAjXbh40m1MR74C2XtFz7iTrzDhH3tnzmREEiJfF_YgAddKc8FDQR2x1FVb2Ds_-n_ULY8aabogp5iGBMnGKIYTsR45pzmAKLA2FmimR1KD6u7Xi-GWZGyDyeWUkBElTIOprm73AVQHi0bVg_MytkpwLmemQQ_uokX5AlvV0ypDYuXX2n9hfSkystmATw4lCiqgM6gfFw5r0RMAaO3q6I77-6NmZGM4PsajwmHlB9Rb5cmxCz_anj3pjfOXmW8mN29EuNVZufrql9TUqbAELnRGhcpiwlTz6g4YIYaLVh_cYXvou7Vf7ityYX1VC16rbq5swzFh-XI6vBtcmIhgAMJeEYpAwRkJg2Ztjt-4n7RrC5IuqQ6wQ6FAKMIqUUvGQ2ZeHr5tAxNfarpPlL_hx6bChIomilmUqBjY6EuPiDV4mTwgtbL_XehavOU4ICfZYR5X-VKWUp5KtdD5MpMqaUh1NR1mRMkiQbb_7HPv0EEJFUeoZbqbEPK6MZCjrpOxr7JiI7qFqQxoEYPjk6cxCLYwowm5Nf10Va_SzT_V21tKCADcqNlwcbZ2f_l_63IWLLto8IoNnMYJhC3e5fCR6XRiu7KYll1AbnDVBa7HdZyVRZZxY9KzlIDgK9L6CPmqUS4xCRMqX4VnI2wdTN8Wx_k759x3pgSwcaVExnPJwENDD94CJURMQwsCgNY9rRv_qO4RbjwLsas4ByJaziKhiQzJWWZZRpwLCnfLyhyzUQ9drZfrMJHS701pZCvU8eU6WpovZOaLPN4bgpQudIdaEDG-ggEpKYdq6CbUa_LV7dWXU_qAfSDClcWHP4JSyVxo9lBVJF4ebveSz1N7dIBusbhQ5C25p4CUZmlQkV-M72l-UDP3KAXRstFZaBE0d6W5f_8Gp5pWXpockflaolkqree6EILuQA9NCg-69zJ9j9CgPT-461x1dzAPYxjq4iSZvbNSo3soAY9FNh70T2_fZuRoZwsS65FC4Vt52W-BVDVT9JnK_Y02wsvtDL5U5pSM9C0dG3W5W1YxY9wLZiqR6GCIR-Bg9wpttVWkrnTmJfvGhR0bmm1d0-ODs8IERwbcuw9ifL17khribH2ucDRueukKHY0vrkQgA02sxDOnA6NKah9sYirgA0sLPrP8Fz_TTVls28X3JRep08nFbX9qYVpapOHGJRoQVIo9CHNMeOmvW_cgbQYkFRB-UBiSAmTohnLB2I3doHC_VWbYbkfnf_MISi-8UphivWT-1uSQnrjbNcI2dZ0vGpFhczaxy4tOCv1ie_NAs7lCyuhq8TxsfT_NNHt5wK8oqAT-0Cq0Oj1bipJPL8PSAsy7EPM3Q9ACgKZGloEc1LI7NZcxo5ZufGmTCSByV6DIMx5AlpmzoryHZCcq0MTGIfxp4qEi3DC_-M_OnleKND2BdL9gr0LnM_k8xMUESR8TUqH7RQ8a2YEQXbNcj4CuFnTy-DyGdi_LgFL8IHC0JeA6LevkUcQwEwfy-qDVETjkAVzEMLb7xZLEXtXSm04neAcSHfsgI-DQrg8GEH0ebIcLeKYVHKa-If__8CjBuIxOj9mZqzglHpVg6h5ls0L13YDUne8ASJs5CewDycW463-enQs6k3acqM0SzJI5yZwC_v3gSooXKhOt20gPf4Bt7ycAxvrCLa6x7MhxjP98vlBL-loq9-hxMAfCSaTRwqlLf-iHmG3HBuBUc6TtodRlKzwtVwWM0ybZ9UiXLu4xbWntkWFaFH6ydtFavU551JfXnQaIfKV1dxZ4DqJa7x9N8N3Acy3-Xz4rleLm9AcgcAn3HMFalyPfT-K4vfiwomDsdYsvI99z-TZj_fScKcxrD2h34y9PJDBp-vWB9RpiMHLta3xL5pEw6U22inECD8IE3LLUh20DBwQTz6po1XwetG0kjISlOqN9Ivv5TIdnuN2535oOsUd7ZHQFWoGVIatD0oN_BbrGDbtVMxq_lhymWK-64xntqWChYLDx0duBWN3dhFJTb6kG7_xh4MkywErQs7DMDEDWY5K_JQoJqr-mx1E5kIpfIcl6vXh-TOEYc2eFEjB4sbijQ3I8Vl3lb1hVnQRxcS8tpcZOD11qYEny7auByqkAVBrVbgvb0504NlQMGyYGLa6tIfOYx3Uy7Ad0Vpo5-mgwbGQpTEXekNMNjHEEiekVUAe7YkxD3FdE1WOCD59ZgfVYI2Ip8P9wI12Q2OUMcRDMELd4JxM2DMAoBYMpHVRgK_LT6LtEQ0ky5I5u5_YnG3K31fQs0jGPV8gkhn5RDNVZf-O6MWoZG70AxoRAm864Sn0RazEAlFUPCr_5L96Z-Hrh62ezn05gT7oe6g7zbfP8PXEMrKtNlgAI1DjAHXvxcf5zmb-tDp5FDpaAWrekPL7vZpMWr2_o0FzDH0Ceb4RAM6YKRUhuTYM7uRTR4SSZW4e683u_fegWRmdfP1Er4KayBBIG-c0b-rEeZcFKOg9be8KRn234fbE7Ox2HLNYZoIVjhlhS-Ig2hrQyNuHAcmamDH-dmBy6NoCuY1-5rr1E9FrTy2MMmrUDB8y-4BYf74Q-jInpd_dbQPO0CUwzxPY-Nwy8KgoiJ7Jna9UW_pEl7sFV7iXZxV0xEfAv2I6U6X_WqyPjthu4fh0_WBhNkQa61fNi5NsU2a7z_XhIikTJBCAyw9bNusZgSy3jn3eET4urxXBFxQzxfBCMoiYpoXTdy3aUz82Q-MHFAlOHvggeTzBOX53i2WuT_hyr_c8L9uKlt3u0dZAdtpOM4-agHylX20EMRn-4RJsvYgZN_fV-9XV9EKKlVTxx_finR4TcW4GukTAgU1578UrmiEi3kalOmjkO9FBAyAySL0kCkbCLqumVDv2Vi_vj6dtYWb1RbLH9vH-Cx4n2b9gk9S2gX-ry6k1eJDiaks0ToasuvpIJhp2FeVpskQvzCtpT_tQ0N4inGNGVRscaY1aqTSZz3dTrZCp3KTUckgAn6oXcBV1XqmoIxBBJ8n7EIJAY5OvymuFqOAbTMpabBHud16WvU2UweCYex3uffuXbj6u5ft0PWFzspbT7ezvl96KSc9jSAMFzFTXmJi7XCNXjm_P9XBdH6RmUpbmc8-6r4GQk9d_8MJfgfC7rxjKGHZTLPUUlEE9jxsM2geVD7bUg2ONOUt22NWZfX9YPDGmw_wybEFsoxqAguJZiPPhwP4xDTgDWncgc3LY3dsETusUJZggXCVbViZiOQeAqShwA0Vls1aK3xbvK-t_9ZET-hBaPh844lr11Zb1WGrR9tqMZevVk07yN3Z6F7dMdqTDYsnkIicMz0b41AV5bOKYPGlC1YjVkRACULq1sVcA7rIIf0vc8AMQzt4sJqbt2xsOYOjYVk5RWCfYle8MW66E2oRHoIz-QWnbworHRqBu4yMr89G8aFoTbXNSptEivEdJBLtQ9MIkUKQWy3mBkucJJWi3-8S7_Wyplg2rJfLCn2Ofy0BFZAvAs5GPXQ9mWVlM2eff6141V96JmEvi0NViFwiWAhVwQkU9IuzrRqASdpPAeiOPw6wJCSUWFs5zvgLzzJsj37TKTVHwUpHsAPjKcQlvAfCFF9wDFLcRDBIC8Rtij_00D6R1dPDCwO-VPlHOhmedO2AZ1_mTNnizEcBVuN7fJEqJoUpwZp_eJjJPCrTLsn3CqMvaaOTrXoAPMoZ2LcGE1vGt_4R33UqobMX94WY20M54Zq_E_LAS-P7yHeZUY6OOSc-fowvLjFnjaxD2MM34lxokg2kIzoxPtQcORi2pLp5UEC0QjcekNq3yjNM-x9pDxFAgPQkTkI51ZL_hvt0YuvChMqQn3FhVlaA4qOvSiQ9jo_J74RUStouXeJ3ZKZMPOcdt88V87NMZ1rmIJPJw94ToylyVK1w2TmlwvaqE9EEJr29ZGNnW0H3-uQDJiRpDECMGQHglC39EyXBWoRsZcX1D2ZLLQWWJNsDT_YBQ53oPN2JjZSEdO8U8EVIM9Vhsbb6VovQzbeSZo3kGSjKkmzAAVnNtkXZM9ZpGrVJLEuCBgIsGHMMr98dFiGR9baQ-zp1J-KlFKaM8tLK9l2FvNS6T4-I-z0jFrJTbWkhDyKCHXrF-IurcJcTQ9lMpzQx12k93VyEEFEFiQHX6KMUOgXt1Nt5gZsLtqDhXriellQB0x5jwCg6N7QA1wbwpu5j2rvQFY_5DvJywHspbWzWjaeRI6z0_UKtBNrvxNQz09NYVsf0nfddZaYpxS_t23lEh0gQuC1MFAA6b_mUo9viQ4C7FlsI9RgmSgfQX83wqGlmnmVjP_Xh08-9RzRBkgvBDFEMbeuwHMr0QGNqGdeTy0maLdbl5JIDPUrhWoz35e1MwC58MZiBV6mXY5KT4eDWiEL5VRAN18iBvLmQxvqd6iXODplMdGpRq9SBhj7J2IMo_oOw8QRh3GPRMQLmHhTkxdX89QagX24Imo_A8YUT7vpQ7SF7oNu3MAOVAwXL7hxCyjDyloqC60zuohmpFFsygzVZM7x0PgcSxKGYW5laqoo7uFtKran6heRAihkck8fO-meua-FUNjWQxDRBAC_QOnyeAd8xmSBb-hMvD84_8UyvI0sIfF_6uFCuugpS6yG2YYhJGjwMyKsNZOa7fLQnM9WTBGFka8MJnK3bEMbaBY20Qst5iDdyeNN_7xtsXlDzHWDLQDhcvCK6Nw50YPLjHAqy1BMe2pPMDE-8NpJxkjgn23Sim1raIMbaiEixsQ--z63XgvX5B68ss9a8pL9IxXMAnZCo40a8SdC3cGk0lW4qgm25dqNKuwXCdMNZZSJ1cO0AzWwBkPkkF7f2ODmnbMG_veG1OmFv8Q5v-grE6IsKMkxbUeLhjUawfcAgXhnIX0-zm6tcQkEeUGRZi9Q7-Lb92Aw0U1nddw1JyuBzFRWFGbq-_MWSjkrMUptnJngvgwsF3L3eiz2HBDSpxDr4HELdBQKJNvV-OF0jxrA5G2EObNdDYJ44b4SQ9-UykRskWenfS0MnVPz1fNSt4euU5G9g2Tv2Brk-H-PPJXP5r9m_8njx6l06ZUQ4dck0iWYfpIEoNgGzpZyCO7JxitkiKKx__RUCm7hbBTLoOHPsq6gwrJ1bXniW7Cj26hJ-IhbBZdGlLy3lCzdyMGEMBOLvgTr9WjSP2k2WNQTsqb2H5bzIUv4RNCHkXR_B9GZoZ4vXDDwpiR-zBcvonGh0U-uIjWOUN4X2aghKpuwlHgLZB5G_4LPCe4KVGnf6qtZrfWpoJLCPW3ceweDOIHnQckWkntWzPlyPf79kRadwVW84Uxb8qXKoScHayyOqULp3YwIoOe4uui4js67B3rJwx7ScdgDxZ6hixT-IZBlQpSwTija7okG3h_TZICoz3tJhFnE6J-gxggYYE7oEkBDaavZbgjL2ZKJHrbT1uQpP5taA-BzrYI9AuyJ9kLlXbO_-nKtkVYN3Ek0ZFxSPzTpDdkAwvnx0yQYOUSkh3a7u1MNYGyGrL332WYoF8EVlnpXkRVScHfkOeSU6dVQrO6vzTDl11V2tBiV0i70iTRKt9G7KoXmJKVqK2AbH5KrVV6yKJog4y4gzyMlg2lq9SYML86XVmd0gh6Rq0vCNcH_enQ10uZO-4cU-g8QsbUw3_uk\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Considering translation tasks**\\n\\nI could translate all comments and strings to English, which seems manageable and broad. I need to check if the user wants code identifiers too—but probably not. Given the phrase \\\"agents y si hay algo mas tambien,\\\" I might focus on user-facing elements and documentation. I can translate AGENTS.md and any repo docs, comments, or messages. Many modified files already have English strings, though some titles remain in Spanish. I should decide whether to commit changes now or after further edits.\"},{\"type\":\"summary_text\",\"text\":\"**Considering file writing**\\n\\nThe user has selected only AGENTS, so I'll focus only on that. Using the write function on the file seems easier than editing since I can capture the entire content in one go. I think I should craft the information in English without mentioning \\\"Argentine Spanish\\\". I want to keep the same structure and include similar instructions, writing the entire file cleanly. This approach should make it straightforward for them!\"}]}"},{"type":"toolCall","id":"call_C7uDtxtoIxI8Zf89xquXuP7N|fc_077a35cb5d0923b70169e8d45d737081959adc0664c8baed08","name":"write","arguments":{"path":"/mnt/rpi/pi-config/AGENTS.md","content":"# Personal Agent\n\n## Communication\n\n- Follow the system communication setup.\n- Keep replies very short, direct, and low-noise.\n- Cut filler, pleasantries, hedging, and verbal tics.\n- Prioritize intent, technical precision, and immediate action.\n- If detail is needed, ask a short question.\n- Do not change this style based on inference, tone, or sympathy.\n\n## Intent\n\n- Prioritize business impact.\n- Reframe technical work toward the real objective.\n- Ask only questions that change scope, risk, or success criteria.\n- Execute fully once clarified.\n- Keep the main thread focused.\n- Use subagents for reconnaissance, parallel work, or context isolation when useful.\n- Use Agents Database as durable shared memory.\n- Save high-signal preferences, decisions, project facts, reusable artifacts, and short handoff context when they matter beyond this chat.\n- Prefer a few strong memories over many noisy ones.\n- This Pi config repo is the main place to keep evolving these rules.\n\n## Rules\n\n- Irreversible actions require explicit confirmation.\n- Never merge or push to main without user confirmation.\n- Keep replies direct and low-noise.\n- Call out contradictions when they matter.\n- Code, commands, commits, and PR text: normal technical format.\n\n## Machine Context\n\n- **This machine is `ballbox-first`.**\n- Do **not** SSH into `ballbox-first` for normal local work. You are already on it.\n- This Raspberry Pi serves as both workstation and server for Sebas's day-to-day work.\n- \"the server\" usually refers to this same machine unless the user clearly means another one.\n\n## Server Details\n\n- Hostname: `ballbox-first.emperor-ratio.ts.net`\n- Tailscale IP: `100.116.176.16`\n- Runs 24/7\n- Nginx on `:80` routes to other local services\n- `personal-agent` API: `http://100.116.176.16:8082/api/status`\n- `agents-database` API: `http://100.116.176.16:8091/api/status`\n\n## Web Exposure / Tailscale\n\n- For local web apps, prefer putting them behind nginx on `localhost:80` and then exposing that port with `tailscale serve`.\n- Prefer subpaths like `/cli/` before taking `/` when a portal/home already exists.\n- Do not assume a UI app is a web server; many are GUI/Electron apps and do not work in a browser.\n- For `code-server`, use nginx/subpath proxying. Do not try to set `server-base-path` in `config.yaml`; if a base path is needed, do it via CLI or systemd.\n- If an app only lives in Tailscale, disable local auth when it adds no value and access is already restricted by the tailnet.\n\n## tmux / TUI\n\n- The tmux/persistence architecture lives in `/mnt/rpi/pi-config/SERVICES-ARCHITECTURE.md`.\n- That document is the source of truth for `pitmux`, `piresume`, scroll, bindings, and the persistence model.\n- If you touch tmux or the `pi` launcher, update that file first.\n\n## Playwright\n\n- The `playwright-mcp` CLI is available.\n- Prefer Chromium in headless mode.\n- Avoid Firefox/WebKit unless needed.\n- When a repo supports both dev-server e2e routes and production-style routes, prefer the more stable production-style route on `ballbox-first` if Playwright `webServer` orchestration fails or becomes unstable with the dev server.\n\n## Shared Storage / Tooling\n\n- For durable local machine tools, harnesses, caches, or shared artifacts that may grow, prefer `/mnt/rpi` over `/home/sebas` unless there is a strong reason not to.\n\n## Agent Temp Contract\n\n- For temporary agent work, prefer the managed temp root (`AGENT_TMP_ROOT`) over `/tmp`.\n- Use `bin/agent-tmp-run --scope scratch|logs|handoff ` to run commands with `TMPDIR/TMP/TEMP` mapped to managed paths.\n- Official contract: `TMP_CONTRACT.md`.\n- Cleanup command: `bin/agent-tmp-gc`.\n- Expected cleanup cadence: every 6 hours.\n- If a temporary file or directory must survive cleanup, use a `.keep` marker.\n\n## Laptop Helpers\n\n- CLI helpers exist to access Sebas's laptop via Tailscale SSH without remembering the host manually.\n- Current default host: `sebastians-macbook-pro-2`.\n- Available helpers:\n - `laptop-read `: remote cat over SSH.\n - `laptop-run `: remote command over SSH.\n - `laptop-rsync [extra args]`: rsync via SSH.\n - `laptop-mount`, `laptop-umount`, `laptop-write`: access/copy flows.\n- If you need to discover the current laptop IP/host, use `tailscale status --json` and look for MacBook peers.\n- If a task mentions \"files on the laptop\", prefer these helpers instead of building SSH manually.\n\n## Telegram\n\nRequired variables:\n- `TELEGRAM_BOT_TOKEN`\n- `TELEGRAM_CHAT_ID`\n\nNotification command:\n```bash\n~/.agents/skills/telegram-notify/telegram-notify \"Message\"\n```"}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4-mini","usage":{"input":125,"output":2234,"cacheRead":11264,"cacheWrite":0,"totalTokens":13623,"cost":{"input":0.00009375,"output":0.010053,"cacheRead":0.0008447999999999999,"cacheWrite":0,"total":0.01099155}},"stopReason":"toolUse","timestamp":1776866373109,"responseId":"resp_077a35cb5d0923b70169e8d445a6508195a5462e93695ee5ba"}} {"type":"message","id":"60bc6e75","parentId":"d2def3db","timestamp":"2026-04-22T14:00:04.560Z","message":{"role":"toolResult","toolCallId":"call_C7uDtxtoIxI8Zf89xquXuP7N|fc_077a35cb5d0923b70169e8d45d737081959adc0664c8baed08","toolName":"write","content":[{"type":"text","text":"Successfully wrote 4580 bytes to /mnt/rpi/pi-config/AGENTS.md"}],"isError":false,"timestamp":1776866404556}} {"type":"message","id":"57e5c29f","parentId":"60bc6e75","timestamp":"2026-04-22T14:00:12.154Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Evaluating commit options**\n\nI need to see the differences in the files and consider whether I should only commit the AGENTS. The user mentioned committing AGENTS and converting context, but there are other modified files. I might need to stage a commit using git add first, but there are unstaged changes in the repo. It’s crucial that my commit only includes AGENTS. Maybe I should check the status first to clarify what’s happening.","thinkingSignature":"{\"id\":\"rs_077a35cb5d0923b70169e8d4658f108195a26020efcb97746b\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp6NRp0NJ4kNPM2r8I_P-K-NR2ysZLZIDnCTMRyWD71UF1froYc_8EdI-f6RD3zga848ltDfRum1IgN7ZJr0xFkAJUnitmwNNSuHZHREBWsf3Qe7IF5vpxb7B1en2NdQ9-tLHManoJN9CTf_cwnrxFMQfJE8nWWCfRfbfhwErApmnMfZ_H06ByuoX7Bq8pqZelqtX3AZ5u9ziK5vUdPa4CRxqIG7lBwT1PCSo2Wox2r20CX--vccjOjEC974nwPXiDnYaq8SzBzeh_agV5oyjx0KJ6ZguVZxhiHQnPppLvj_5dVtIKWCCn96BhMndX4-FolqwNXjWSLNNPSFGf7TjIwsYAZYbNjosPOBKEpJuJFEfWTUzJ7O_hJgvaotS0WQioZZOjeMqWaOTn7kYv3h0_rzs7Frm1hv4TiJOtYCW0U3LvQMA4Q7HFeaIqotcnz80gauXmET2Y8ojejHoHynNEuPqRX7aPVJsDTqQY3ucIluTQMz1cNC0Q4Z3K-CZjv1FPcb79mc3vO-SdznWV4UTXOv4VrKP2m36infUD3SUg54WkdLl6ZIqr2LBtbzlycmP-sLm0UAuYFe8XeJK_pojwjQ_PvI0L1ffsWVR5abVwOauSDoJ3TkFdnorhnJY4EcqgN80MVbfx1NHm0VTfrS6lxfn1CFl3E2L55CixZKMKBpJ9RkmsoikKfg47AxazTtzy7utG-PejTF8dlUXByiIWBuvWJHyTaVtIuykZDz7nOadoO9-shB-3O-aPBPXIHHydlR6Z295XPJNw54UHL9uyv-8mX3_LGiOgcZFd54BjJYGAs5XpQuo6So8WL4Ozq5rANVzBZo5gpkofVSby_ovmPlE7GrCp7PE-vfS1c8n_X1xBYwTg9dXlxHc57NBnvtmaVoBY0LGKy3nYp5AYJFN08vFhndrGjuiuxaK5JfasU1ohq8UJ3l8no9hd6VLz_oX9-YjcnHHiDuZTiP5f43b2sFUGpvDjb7Az2VKJLrlK3Ru0hFXFWUKypyCsTEGTgOg3IMe-6ZXwUaeqb-1uUtt2cJhA8ZUkLbWZRUhD-qwZfQytwP2g__xPfFwtUN56F2V9Oar3zSUFw3oP4fSSXBydDint_YUgkTTOwi4VgNa4fmmJ2Z_Wif4zBn2p79bx9wmsL0SytYcuw-q-sRIu24QY6FMRrzrvbigAcGLqhA3FSTNkznbheX3E1NJ6vr3SkQ4ZoCdCa0HMRd_VgUIf8iAemodRwOzXthdRdrSJhlmSoMbNw3Sv-uHUbA_Q663ERtwoJwG7v-Exf1gVdmr0xCgrOvz6sFEThQ1Yhn46wN1qrmEWyk15cT7Ps3rLjqkq5hOfi8b5zPmgDPo0soczIi5saiZevXfed3Q3C7w1TXIq2fMbYvsd0K_gmiCXk_fv1SDUwBeKB5m_3EU7YQL4Q2QVdDeLLMpmPdeylGsg_tIXMT6yto83OaPedNhJV45I0weg44F1\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Evaluating commit options**\\n\\nI need to see the differences in the files and consider whether I should only commit the AGENTS. The user mentioned committing AGENTS and converting context, but there are other modified files. I might need to stage a commit using git add first, but there are unstaged changes in the repo. It’s crucial that my commit only includes AGENTS. Maybe I should check the status first to clarify what’s happening.\"}]}"},{"type":"toolCall","id":"call_290RZ2VtK8ILvThjbHr0OLca|fc_077a35cb5d0923b70169e8d4695f5c8195aa595b0d230d4f6e","name":"bash","arguments":{"command":"cd /mnt/rpi/pi-config && git status --short AGENTS.md README.md settings.json scripts/session-memory-analyzer.py scripts/session-memory-dispatcher.py extensions/session-memory-dispatcher.ts","timeout":30}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4-mini","usage":{"input":338,"output":147,"cacheRead":13312,"cacheWrite":0,"totalTokens":13797,"cost":{"input":0.0002535,"output":0.0006615,"cacheRead":0.0009984,"cacheWrite":0,"total":0.0019134}},"stopReason":"toolUse","timestamp":1776866404561,"responseId":"resp_077a35cb5d0923b70169e8d4650a3c819594dca7ff79599b77"}} {"type":"message","id":"654d112e","parentId":"57e5c29f","timestamp":"2026-04-22T14:00:12.165Z","message":{"role":"toolResult","toolCallId":"call_290RZ2VtK8ILvThjbHr0OLca|fc_077a35cb5d0923b70169e8d4695f5c8195aa595b0d230d4f6e","toolName":"bash","content":[{"type":"text","text":" M AGENTS.md\n M README.md\n M extensions/session-memory-dispatcher.ts\n M scripts/session-memory-analyzer.py\n M scripts/session-memory-dispatcher.py\n M settings.json\n"}],"isError":false,"timestamp":1776866412165}} {"type":"message","id":"59cf32b5","parentId":"654d112e","timestamp":"2026-04-22T14:00:19.173Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Examining translation needs**\n\nThe user mentioned \"si hay algo más también,\" suggesting they might want additional translations. Since they're focusing on English for token efficiency, I should translate any relevant text from the repository. It would be good to inspect other files for Spanish strings as well. However, I’ve noticed that most current changes are already in English, except for those title prompts. So, let's go ahead and search for any remaining Spanish text.","thinkingSignature":"{\"id\":\"rs_077a35cb5d0923b70169e8d46f2a2081958bce379c90d0486f\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp6NRy9qXvqeaH_J4VbOhL6JZ9sopoSJ3xV7hBNpRImsB36U6mkDMeaGzBXF0PjVY4S5ZjUBEIlsU66ph8RzxaFe7BHk3h8emVW7L9KvKuCpcfIScPlqhtAHaqHDZpdmJtkx9eQGucnewRC6HvT5L0NRsMKfNPBEOHWBhSrlABgJgRwOxAwrk1zkwSnE7oaOYX_u2I73zGDZkRc0RdCzmNACU3HqI8HY-Exjm2qEc4PSP4ydyJtmRCe4CXi4MycXPzDWR2VONnmpW2pZ0zQwWfUVZUj7BnW2dXmgxWwOAhxXzpJpGmnW9UkttzzM1sKsr1BcJ54M9g7vnlQajFFP2RgW4Oytx5wvcAPXHbscQco_p2R44KYb51qlOjyX2Sl2HRW1VqAEIuWvoxniun4wgMYjgyNGtyPOdaAx-gZCnXBSHpfg84bVzDcoYDx6rgj8SqsDWRDy4pA0p3JfUgJq7dyeT-Vuz0jUepUCP9TJ22XJ1byt5tADl0phKlRRhzixqX_w0KTXJBvH90RhyijGrSPbCWik6laAOJ5qUv9Injx5_cHQSlFoE-dTVJ9GC2-1Q3Vc-PrpTLGnb3t8EWx1edd6FBcSDpCiN6uS2czN7-wh4WaIuA0qjj3PzQp6vTfuhjSXvaIf3xFXh-M431VKU_euMPQsR2uDbkJHEB6TfMYKevIGaIgU_fmds8G4vahzvW9GR30xBlhfDGXtSmyOzWlarAkXkKhtREqVOd1kQd-48dBCyym406oHP7mFchRAf4FA_yNHaBkSNPKikNBLNaQWeAQQJrSV8f2uP8omoYgqhkFX9yxYZqqoF-jQ4_ElK4fOVxygfhBOyS4qOviLhrceTyfUu4YlWcKEs64ja8Gnwri4SS1mTvPwI0uyzMEbxVg-79OROhMU9ZFGqHP9HuTwCsaybowuO8NMAKoffNeL2EMDEyVjge6h2zM4H04I5Njgg-TgGBCC_zmDPCF74YwtCReHMJdLsd9fqLia4QoOOASlUS-NOfq-xlvwyQpjYw4pGfCwigflP5wS0EUYxZHgnG-zO1twzIIWBFipKTPvIoOBLkexBD96VxCIN9__C1HWaMd687GCHHPo2Ct8GbTgL6ubZijqINCGiq_iq73YQXLh4yWTvhflBA7hTBCPr5iuo-JauVrozwZqE-Ej08b8RPSrLIzL49xBSPgUNKNOFhX-ztwR-spVOH0P133zfyBMwS9otU4Wv___KlCjb85_xWGsn_uaS_l2FH_FOuW2XdlmTIwfsvohdugLHz9_WcByn0XTqc5ZRuvAS8sBZCbzQAucSCPkw1rX_r_6uhNmWBM8NqxTUXlNYouIX7QnbjR69TK0a4usobwcnQMgK4OOTNjKe7XzT0UI1dXgo_2CCOtS7bkLNweRyuW5gmTA_LwD63_DmNYkYVOgxNv6sTdoEz_FpaH6of9DfBB7p88DMsQCSTfOdJ6RkgMO_bit8o5O-OfxT5r_1TnXVWPKuQ4mBq1egZPYKnS0PRMmuBxq2-QgX5XKtyg1uKutm7xEuuIavoCiGiJ6p6gRl5MaRXm68fu3kfz2ZbhizU8YyXJ2nbYtTcBAx_RVZx7XuegrkG5EF0S5ox8H0I22k6h8yW_OBkgaNZ5zcNDSGlMlw3xC8Etl-5CoOr45hwhB6AvuvIXRhiw8d1D2EW7seAGnehoS8iYPb5oRa-FlWzmqUIlCRzZiH1l8tBhsLZ74sTdzkrrfXWB_5RWBsBU2-rJe2zKNPsEgu_bZxCcKrMQmUnc7hw6gsffHCKbzr9B99ISRc1CzwqKVNIOq4vaTX7zW8Qo9dMnHUUZbLnjJG0i4g7denZIBAvTaeUyYf0B3TPDLgaC83zlKEiXsFlOfUOV4KcdEPHYFWVpSJx8AR87KadaDw9k94OcFFw1qGGk1UR1qD25qhc1y3X-UgYfEisbMkQ9G4ltupLjrcg5xvqArckYki6K8g8iA6v-goPT5rOjgDwzYEMWDb8tUCCUFhxM423ClO71UwSh9E9mxYoHWLnWaaAGvh3aBA9UeYxqzT8iEJ6NZHB3C6tjLw4UnvBoE4BTbRzqWhnRPIr2yl9Ocf0mYeaGH99o9wSTYvQuxxDH35wPYEVqsp27Fu_2kLt_mp38ZU29SfcrhnTDtMH5-Ofi1_wNyO7r8euqv2Gvk7l2eUEFVXBESYO_WzPaXL3O-NrwEDagKBySdottxcOxAJuYH-fqofDs2xwYGoeExYzbV9RWCD5jnYNPeV1xaEvoKishPqO8KhgH7rsGiCFyKIvufK-s3xalqxrYwJXVJF0spgdIaNIPLIP9gSif9MO_kEwEwtOmqfBmC4w2-z4BM5P0W7Ye71rfZA19CM9o-boGvUIeZ0dJwGEqlNXOZWLo3xHcOxW_trYFVX5RT9elguLMPwUHdqfDDlKwW_uBTh5NL1FUZHKujqRLQ6JekFrVGkBkB332d4-oaRs_i7EYOKXAeAQ2QdU7eMrQjZjQO2Xgi29d-ahY-XQONPl1a3QsvZJl43LGI-LID896kwzO_PASO-3asMnMc0kTPR8S8mlqukgYvR3kMFFQYTSakJdaC-nu7xbxA8kXZw8aSAT9zICYCRXfnRVNsxrcPGKrxlDbylV5duJLqeY4fwbEQiNS_793JMf1FNoD8BHr6qnKsHXCHl8xXA=\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Examining translation needs**\\n\\nThe user mentioned \\\"si hay algo más también,\\\" suggesting they might want additional translations. Since they're focusing on English for token efficiency, I should translate any relevant text from the repository. It would be good to inspect other files for Spanish strings as well. However, I’ve noticed that most current changes are already in English, except for those title prompts. So, let's go ahead and search for any remaining Spanish text.\"}]}"},{"type":"toolCall","id":"call_HNYmf7kWBiv7ptADXVHKG7i9|fc_077a35cb5d0923b70169e8d472db548195bc204711a747d442","name":"bash","arguments":{"command":"cd /mnt/rpi/pi-config && grep -RIn --exclude-dir=.git -E '[áéíóúñÁÉÍÓÚÑ]|Guardar|memoria|insights|Agente|Seguí|Mantené|Priorizá|Hacé|Usá|No\\s*hagas' .","timeout":30}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4-mini","usage":{"input":4631,"output":346,"cacheRead":9216,"cacheWrite":0,"totalTokens":14193,"cost":{"input":0.00347325,"output":0.001557,"cacheRead":0.0006912,"cacheWrite":0,"total":0.00572145}},"stopReason":"toolUse","timestamp":1776866412165,"responseId":"resp_077a35cb5d0923b70169e8d46cfbc08195a0d384db570aa41e"}} {"type":"message","id":"5104db61","parentId":"59cf32b5","timestamp":"2026-04-22T14:00:26.326Z","message":{"role":"toolResult","toolCallId":"call_HNYmf7kWBiv7ptADXVHKG7i9|fc_077a35cb5d0923b70169e8d472db548195bc204711a747d442","toolName":"bash","content":[{"type":"text","text":"e del runtime y mantiene el comportamiento.\\n\\nSi querés, te dibujo el flujo exacto y el punto de integración mínimo.\",\"textSignature\":\"{\\\"v\\\":1,\\\"id\\\":\\\"msg_0728b9dd6e76d1e20169e7826522688196b0cde0deb63abbd1\\\",\\\"phase\\\":\\\"final_answer\\\"}\"}],\"api\":\"openai-codex-responses\",\"provider\":\"openai-codex\",\"model\":\"gpt-5.4-mini\",\"usage\":{\"input\":276,\"output\":342,\"cacheRead\":86016,\"cacheWrite\":0,\"totalTokens\":86634,\"cost\":{\"input\":0.00020700000000000002,\"output\":0.001539,\"cacheRead\":0.0064512,\"cacheWrite\":0,\"total\":0.0081972}},\"stopReason\":\"stop\",\"timestamp\":1776779874885,\"responseId\":\"resp_0728b9dd6e76d1e20169e78263a9848196b662857fed09b592\"}}\n./sessions/--home-sebas--/2026-04-21T13-26-29-627Z_019db038-8dfb-771a-872d-00de888dcf6d.jsonl:115:{\"type\":\"message\",\"id\":\"c629cf6c\",\"parentId\":\"86201f88\",\"timestamp\":\"2026-04-21T13:58:39.828Z\",\"message\":{\"role\":\"toolResult\",\"toolCallId\":\"call_tnr4dwV1kZYro6FqPCaVLcHi|fc_0728b9dd6e76d1e20169e7828f2fc88196b66e78d8cb031589\",\"toolName\":\"bash\",\"content\":[{\"type\":\"text\",\"text\":\"import path from \\\"node:path\\\";\\nimport type { ExtensionAPI } from \\\"@mariozechner/pi-coding-agent\\\";\\n\\nconst AGENTS_DB_API = process.env.AGENTS_DB_API || \\\"http://100.116.176.16:8091\\\";\\nconst PROMPT_SAVE = \\\"Save durable memory\\\";\\nconst PROMPT_SKIP = \\\"Continue without saving\\\";\\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 buildTemplate(ctx: any, stats: ReturnType) {\\n\\tconst lines = [\\n\\t\\t\\\"Keep only durable things worth reusing later.\\\",\\n\\t\\t\\\"\\\",\\n\\t\\t`cwd: ${ctx.cwd}`,\\n\\t\\tstats.lastUserText ? `last user request: ${truncate(stats.lastUserText)}` : \\\"\\\",\\n\\t\\tstats.lastAssistantText ? `last assistant result: ${truncate(stats.lastAssistantText)}` : \\\"\\\",\\n\\t\\t\\\"\\\",\\n\\t\\t\\\"Durable notes:\\\",\\n\\t\\t\\\"- decision:\\\",\\n\\t\\t\\\"- preference/constraint:\\\",\\n\\t\\t\\\"- project fact:\\\",\\n\\t\\t\\\"- handoff/next-time context:\\\",\\n\\t\\t\\\"\\\",\\n\\t].filter(Boolean);\\n\\treturn lines.join(\\\"\\\\n\\\");\\n}\\n\\nfunction normalize(text: string): string {\\n\\treturn text.replace(/\\\\s+/g, \\\" \\\").trim();\\n}\\n\\nfunction deriveTitle(cwd: string, draft: string): string {\\n\\tconst cwdName = path.basename(cwd) || \\\"session\\\";\\n\\tconst usefulLine = draft\\n\\t\\t.split(\\\"\\\\n\\\")\\n\\t\\t.map((line) => line.trim())\\n\\t\\t.find((line) => {\\n\\t\\t\\tif (!line) return false;\\n\\t\\t\\tif (line.startsWith(\\\"cwd:\\\")) return false;\\n\\t\\t\\tif (line.startsWith(\\\"last user request:\\\")) return false;\\n\\t\\t\\tif (line.startsWith(\\\"last assistant result:\\\")) return false;\\n\\t\\t\\tif (line === \\\"Durable notes:\\\") return false;\\n\\t\\t\\tif (line === \\\"Keep only durable things worth reusing later.\\\") return false;\\n\\t\\t\\tif (/^-\\\\s*(decision|preference\\\\/constraint|project fact|handoff\\\\/next-time context):\\\\s*$/i.test(line)) return false;\\n\\t\\t\\treturn true;\\n\\t\\t});\\n\\tif (!usefulLine) return `Session summary: ${cwdName}`;\\n\\tconst clean = usefulLine.replace(/^[-*]\\\\s*/, \\\"\\\").slice(0, 72);\\n\\treturn `Session memory: ${clean}`;\\n}\\n\\nasync function ingestMemory(ctx: any, reason: string, stats: ReturnType, content: string) {\\n\\tconst sessionFile = ctx.sessionManager.getSessionFile?.() || null;\\n\\tconst leafId = ctx.sessionManager.getLeafId?.() || null;\\n\\tconst payload = {\\n\\t\\ttype: \\\"episode\\\",\\n\\t\\tsubtype: \\\"session_close_summary\\\",\\n\\t\\tscope: inferScope(ctx.cwd),\\n\\t\\tstatus: \\\"active\\\",\\n\\t\\tsource_kind: \\\"manual\\\",\\n\\t\\ttitle: deriveTitle(ctx.cwd, content),\\n\\t\\tcontent,\\n\\t\\tsource_ref: sessionFile ? `pi-session:${sessionFile}` : `pi-session-cwd:${ctx.cwd}`,\\n\\t\\torigin_agent: \\\"pi-session-memory-prompt\\\",\\n\\t\\tmetadata: {\\n\\t\\t\\treason,\\n\\t\\t\\tcwd: ctx.cwd,\\n\\t\\t\\tsession_file: sessionFile,\\n\\t\\t\\tleaf_id: leafId,\\n\\t\\t\\tuser_messages: stats.userCount,\\n\\t\\t\\tassistant_messages: stats.assistantCount,\\n\\t\\t},\\n\\t};\\n\\n\\tconst response = await fetch(`${AGENTS_DB_API}/api/ingest`, {\\n\\t\\tmethod: \\\"POST\\\",\\n\\t\\theaders: { \\\"Content-Type\\\": \\\"application/json\\\" },\\n\\t\\tbody: JSON.stringify(payload),\\n\\t});\\n\\n\\tif (!response.ok) {\\n\\t\\tthrow new Error(`agents-database ingest failed: ${response.status} ${response.statusText}`);\\n\\t}\\n\\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 template = buildTemplate(ctx, stats);\\n\\t\\tconst draft = await ctx.ui.editor(\\\"Save durable memory\\\", template, dialogOptions);\\n\\t\\tif (!draft || !draft.trim() || normalize(draft) === normalize(template)) {\\n\\t\\t\\tpromptHandledForCurrentSession = true;\\n\\t\\t\\tctx.ui.notify(\\\"No memory saved\\\", \\\"info\\\");\\n\\t\\t\\treturn { cancel: false, skipped: true };\\n\\t\\t}\\n\\n\\t\\ttry {\\n\\t\\t\\tconst memory = await ingestMemory(ctx, reason, stats, draft.trim());\\n\\t\\t\\tpromptHandledForCurrentSession = true;\\n\\t\\t\\tctx.ui.notify(`Memory saved: ${memory.id}`, \\\"info\\\");\\n\\t\\t\\treturn { cancel: false, skipped: false, memoryId: memory.id };\\n\\t\\t} catch (error) {\\n\\t\\t\\tpromptHandledForCurrentSession = false;\\n\\t\\t\\tconst message = error instanceof Error ? error.message : String(error);\\n\\t\\t\\tctx.ui.notify(message, \\\"error\\\");\\n\\t\\t\\tif (!allowCancel) return { cancel: false, skipped: true, error: message };\\n\\t\\t\\tconst ok = await ctx.ui.confirm(\\n\\t\\t\\t\\t\\\"Memory save failed\\\",\\n\\t\\t\\t\\t\\\"Continue closing this session without saving?\\\",\\n\\t\\t\\t\\tdialogOptions,\\n\\t\\t\\t);\\n\\t\\t\\tif (!ok) return { cancel: true, skipped: false, error: message };\\n\\t\\t\\tpromptHandledForCurrentSession = true;\\n\\t\\t\\treturn { cancel: false, skipped: true, error: message };\\n\\t\\t}\\n\\t}\\n\\n\\tpi.on(\\\"session_before_switch\\\", async (event, ctx) => {\\n\\t\\tconst result = await runPrompt(ctx, `before_switch:${event.reason}`, {\\n\\t\\t\\tallowCancel: true,\\n\\t\\t\\ttitle: \\\"Before closing this session\\\",\\n\\t\\t});\\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\\\", {\\n\\t\\t\\tallowCancel: true,\\n\\t\\t\\ttitle: \\\"Before forking away from this session\\\",\\n\\t\\t});\\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}`, {\\n\\t\\t\\tallowCancel: true,\\n\\t\\t\\ttitle: \\\"Before exit: save durable memory?\\\",\\n\\t\\t\\ttimeoutMs: 12000,\\n\\t\\t});\\n\\n---\\n# Agente Personal\\n\\n## Comunicación\\n\\n- Seguí la configuración de comunicación definida por el sistema.\\n- Respetá la intención del usuario y la precisión técnica.\\n- Mantené las respuestas breves, claras y orientadas a la acción, salvo que el usuario pida más detalle.\\n- **Pendiente de validar:** confirmar que este modo de comunicación se carga automáticamente en cada nueva sesión del Pi.\\n\\n## Intención\\n\\n- Priorizá el impacto de negocio.\\n- Reencuadrá el trabajo técnico hacia el objetivo real.\\n- Hacé solo preguntas que cambien alcance, riesgo o criterio de éxito.\\n- Avanzá sin input humano tanto como sea posible cuando la intención y el objetivo ya estén claros.\\n- Ejecutá completo una vez aclarado.\\n- Si la intención está clara, escribí solo lo necesario para destrabar o informar el siguiente paso útil.\\n- Mantené enfocado el hilo principal.\\n- Usá subagentes para reconocimiento, trabajo en paralelo o aislamiento de contexto cuando sirva.\\n- Usá Agents Database como memoria compartida durable, no solo como buscador.\\n- Guardá preferencias de alta señal, decisiones, hechos del proyecto, artefactos reutilizables y contexto breve de handoff cuando probablemente sirvan más allá de este chat.\\n- Preferí pocas memorias fuertes antes que muchas ruidosas.\\n- Este repo de configuración del Pi es el lugar principal para seguir evolucionando estas reglas.\\n\\n## Reglas\\n\\n- Las acciones irreversibles requieren confirmación explícita.\\n- Nunca hagas merge ni push a main sin confirmación del usuario.\\n- Mantené las respuestas directas y con poco ruido.\\n- Mantené bloques de código, comandos, commits y texto de PR en formato técnico normal, salvo que el usuario pida otra cosa.\\n- Marcá contradicciones cuando importen.\\n\\n## Contexto de la máquina\\n\\n- **Esta máquina es `ballbox-first`.**\\n- **No** hagas SSH a `ballbox-first` para trabajo local normal. Ya estás ahí.\\n- Esta Raspberry Pi funciona en la práctica como estación de trabajo y servidor para el trabajo diario de Sebas.\\n- \\\"el servidor\\\" normalmente se refiere a esta misma máquina, salvo que el usuario claramente hable de otra.\\n\\n## Detalles del servidor\\n\\n- Hostname: `ballbox-first.emperor-ratio.ts.net`\\n- IP de Tailscale: `100.116.176.16`\\n- Máquina 24/7\\n- Nginx en `:80` enruta a otros servicios locales\\n- API de `personal-agent`: `http://100.116.176.16:8082/api/status`\\n- API de `agents-database`: `http://100.116.176.16:8091/api/status`\\n\\n## Playwright\\n\\n- El CLI `playwright-mcp` está disponible.\\n- Preferí Chromium en modo headless.\\n- Evitá Firefox/WebKit salvo que haga falta.\\n- Cuando un repo soporte tanto rutas e2e con dev-server como rutas estilo producción, preferí la ruta estilo producción más estable en `ballbox-first` si la orquestación de Playwright `webServer` falla o se pone inestable con el dev server.\\n\\n## Almacenamiento / tooling compartido\\n\\n- Para herramientas locales durables de la máquina, harnesses, cachés o artefactos compartidos que puedan crecer, preferí ubicarlos bajo `/mnt/rpi` en vez de `/home/sebas`, salvo que haya una razón fuerte para no hacerlo.\\n\\n## Contrato de temporales del agente\\n\\n- Para trabajo temporal del agente, preferí `/mnt/rpi/tmp` sobre `/tmp`.\\n- Usá `bin/pi-tmp-run --scope scratch|logs|handoff ` para ejecutar comandos con `TMPDIR/TMP/TEMP` en rutas gestionadas.\\n- Contrato oficial: `TMP_CONTRACT.md`.\\n- Limpieza contractual: `bin/pi-tmp-gc`.\\n- Cadencia esperada de limpieza: cada 6 horas (instalable con `scripts/install-pi-tmp-gc-cron.sh`).\\n- Si un archivo/directorio temporal debe sobrevivir limpieza, usá marcador `.keep`.\\n\\n## SSH / tmux\\n\\n- Las shells SSH interactivas en `ballbox-first` ejecutan automáticamente un selector de sesiones tmux desde `/home/sebas/.bashrc` mediante la función `tmux_pick()`.\\n- Si existe `fzf`, el selector lo usa. Si no, cae a un prompt de texto que empieza con `tmux sessions:`.\\n- Elegir `n` o `+ new session` crea automáticamente una sesión tmux nombrada con `date +%Y-%m-%d-%H-%M-%S`.\\n- Escribir el nombre de una sesión existente se adjunta a esa sesión.\\n- Escribir cualquier otro nombre no vacío crea o adjunta esa sesión tmux después de sanitizarlo a `[[:alnum:]_.-]`.\\n- `/home/sebas/.tmux.conf` está configurado intencionalmente con prioridad en persistencia, no como una UI interactiva cargada:\\n - prefijo poco común: `C-\\\\\\\\`\\n - barra de estado desactivada\\n - defaults riesgosos para panes/ventanas/ciclado de sesiones desasignados\\n - se mantienen escapes explícitos para recargar y detach\\n- El mejor manejo de terminal SSH para tmux también vive en `/home/sebas/.tmux.conf`.\\n- Si te piden cambiar el selector tmux de SSH, revisá primero `/home/sebas/.bashrc`.\\n- Si te piden simplificar el comportamiento de tmux, revisá primero `/home/sebas/.tmux.conf`.\\n\\n## Helpers de laptop\\n\\n- Existen helpers CLI para acceder a la laptop de Sebas por Tailscale SSH sin tener que recordar el host manualmente.\\n- Default host actual de esos helpers: `sebastians-macbook-pro-2`.\\n- Helpers disponibles:\\n - `laptop-read `: hace `cat` remoto por SSH y vuelca a stdout.\\n - `laptop-run `: ejecuta un comando remoto por SSH.\\n - `laptop-rsync [extra args]`: copia archivos vía `rsync -e ssh`.\\n - `laptop-mount`, `laptop-umount`, `laptop-write`: también existen para flujos de acceso/copia.\\n- Si hace falta descubrir la IP/host actual de la laptop, usar `tailscale status --json` y buscar peers tipo MacBook.\\n- Si una tarea menciona “archivos en la laptop”, preferí estos helpers antes de rearmar comandos SSH manuales.\\n\\n## Telegram\\n\\nVariables requeridas:\\n- `TELEGRAM_BOT_TOKEN`\\n- `TELEGRAM_CHAT_ID`\\n\\nComando de notificación:\\n```bash\\n~/.agents/skills/telegram-notify/telegram-notify \\\"Mensaje\\\"\\n```\\n\\n---\\n# pi-config\\n\\nPersonal Pi configuration for **sebasfavaron**.\\n\\n## Included\\n- `AGENTS.md`\\n- `MIGRATION.md`\\n- `settings.json`\\n- `extensions/subagent/`\\n- `extensions/questionnaire.ts`\\n- `extensions/session-memory-prompt.ts`\\n- `scripts/apply-pi-shutdown-hook-patch.py`\\n- `TMP_CONTRACT.md`\\n- `bin/pi-tmp-run` managed TMPDIR runner\\n- `bin/pi-tmp-gc` contract cleanup tool\\n- `scripts/install-pi-tmp-gc-cron.sh` cron installer for tmp cleanup\\n- `bin/laptop-*` remote laptop helper scripts\\n- `bin/laptop-write` atomic remote file writer for laptop files\\n\\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- Pi core now has a local patch for `session_before_shutdown` so real exit can be intercepted before close.\\n- Reapply after Pi upgrades with: `./scripts/apply-pi-shutdown-hook-patch.py`\\n- **Pending validation:** confirm the default communication mode auto-loads in every new Pi session.\\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- `/portal/` → proxied app on `127.0.0.1:18789`\\n- `/calistenia/` → static files from `/home/sebas/clawd/web/calistenia/`\\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## Agent tmp contract (`/mnt/rpi/tmp`)\\n\\nThe repo includes tools + policy so agent workloads use `/mnt/rpi/tmp` instead of Linux `/tmp`:\\n\\n- `bin/pi-tmp-run --scope scratch|logs|handoff `\\n- `bin/pi-tmp-gc [--dry-run]`\\n- `scripts/install-pi-tmp-gc-cron.sh`\\n- Contract file: `TMP_CONTRACT.md`\\n\\nDefault deletion policy:\\n- `agent-scratch`: older than 24h\\n- `agent-logs`: older than 72h\\n- `agent-handoff`: older than 168h\\n\\nTarget cadence: every 6h.\\n\\n\"}],\"isError\":false,\"timestamp\":1776779919826}}\n./sessions/--home-sebas--/2026-04-21T13-26-29-627Z_019db038-8dfb-771a-872d-00de888dcf6d.jsonl:124:{\"type\":\"message\",\"id\":\"e88ac1c7\",\"parentId\":\"21ac7398\",\"timestamp\":\"2026-04-21T13:59:10.952Z\",\"message\":{\"role\":\"toolResult\",\"toolCallId\":\"call_Yqkdl6SkDyL3UUOKTFO5G3A8|fc_0728b9dd6e76d1e20169e782aecc3c81969bbd3db6d6b00e37\",\"toolName\":\"read\",\"content\":[{\"type\":\"text\",\"text\":\"# Agente Personal\\n\\n## Comunicación\\n\\n- Seguí la configuración de comunicación definida por el sistema.\\n- Respetá la intención del usuario y la precisión técnica.\\n- Mantené las respuestas breves, claras y orientadas a la acción, salvo que el usuario pida más detalle.\\n- **Pendiente de validar:** confirmar que este modo de comunicación se carga automáticamente en cada nueva sesión del Pi.\\n\\n## Intención\\n\\n- Priorizá el impacto de negocio.\\n- Reencuadrá el trabajo técnico hacia el objetivo real.\\n- Hacé solo preguntas que cambien alcance, riesgo o criterio de éxito.\\n- Avanzá sin input humano tanto como sea posible cuando la intención y el objetivo ya estén claros.\\n- Ejecutá completo una vez aclarado.\\n- Si la intención está clara, escribí solo lo necesario para destrabar o informar el siguiente paso útil.\\n- Mantené enfocado el hilo principal.\\n- Usá subagentes para reconocimiento, trabajo en paralelo o aislamiento de contexto cuando sirva.\\n- Usá Agents Database como memoria compartida durable, no solo como buscador.\\n- Guardá preferencias de alta señal, decisiones, hechos del proyecto, artefactos reutilizables y contexto breve de handoff cuando probablemente sirvan más allá de este chat.\\n- Preferí pocas memorias fuertes antes que muchas ruidosas.\\n- Este repo de configuración del Pi es el lugar principal para seguir evolucionando estas reglas.\\n\\n## Reglas\\n\\n- Las acciones irreversibles requieren confirmación explícita.\\n- Nunca hagas merge ni push a main sin confirmación del usuario.\\n- Mantené las respuestas directas y con poco ruido.\\n- Mantené bloques de código, comandos, commits y texto de PR en formato técnico normal, salvo que el usuario pida otra cosa.\\n- Marcá contradicciones cuando importen.\\n\\n## Contexto de la máquina\\n\\n- **Esta máquina es `ballbox-first`.**\\n- **No** hagas SSH a `ballbox-first` para trabajo local normal. Ya estás ahí.\\n- Esta Raspberry Pi funciona en la práctica como estación de trabajo y servidor para el trabajo diario de Sebas.\\n- \\\"el servidor\\\" normalmente se refiere a esta misma máquina, salvo que el usuario claramente hable de otra.\\n\\n## Detalles del servidor\\n\\n- Hostname: `ballbox-first.emperor-ratio.ts.net`\\n- IP de Tailscale: `100.116.176.16`\\n- Máquina 24/7\\n- Nginx en `:80` enruta a otros servicios locales\\n- API de `personal-agent`: `http://100.116.176.16:8082/api/status`\\n- API de `agents-database`: `http://100.116.176.16:8091/api/status`\\n\\n## Playwright\\n\\n- El CLI `playwright-mcp` está disponible.\\n- Preferí Chromium en modo headless.\\n- Evitá Firefox/WebKit salvo que haga falta.\\n- Cuando un repo soporte tanto rutas e2e con dev-server como rutas estilo producción, preferí la ruta estilo producción más estable en `ballbox-first` si la orquestación de Playwright `webServer` falla o se pone inestable con el dev server.\\n\\n## Almacenamiento / tooling compartido\\n\\n- Para herramientas locales durables de la máquina, harnesses, cachés o artefactos compartidos que puedan crecer, preferí ubicarlos bajo `/mnt/rpi` en vez de `/home/sebas`, salvo que haya una razón fuerte para no hacerlo.\\n\\n## Contrato de temporales del agente\\n\\n- Para trabajo temporal del agente, preferí `/mnt/rpi/tmp` sobre `/tmp`.\\n- Usá `bin/pi-tmp-run --scope scratch|logs|handoff ` para ejecutar comandos con `TMPDIR/TMP/TEMP` en rutas gestionadas.\\n- Contrato oficial: `TMP_CONTRACT.md`.\\n- Limpieza contractual: `bin/pi-tmp-gc`.\\n- Cadencia esperada de limpieza: cada 6 horas (instalable con `scripts/install-pi-tmp-gc-cron.sh`).\\n- Si un archivo/directorio temporal debe sobrevivir limpieza, usá marcador `.keep`.\\n\\n## SSH / tmux\\n\\n- Las shells SSH interactivas en `ballbox-first` ejecutan automáticamente un selector de sesiones tmux desde `/home/sebas/.bashrc` mediante la función `tmux_pick()`.\\n- Si existe `fzf`, el selector lo usa. Si no, cae a un prompt de texto que empieza con `tmux sessions:`.\\n- Elegir `n` o `+ new session` crea automáticamente una sesión tmux nombrada con `date +%Y-%m-%d-%H-%M-%S`.\\n- Escribir el nombre de una sesión existente se adjunta a esa sesión.\\n- Escribir cualquier otro nombre no vacío crea o adjunta esa sesión tmux después de sanitizarlo a `[[:alnum:]_.-]`.\\n- `/home/sebas/.tmux.conf` está configurado intencionalmente con prioridad en persistencia, no como una UI interactiva cargada:\\n - prefijo poco común: `C-\\\\\\\\`\\n - barra de estado desactivada\\n - defaults riesgosos para panes/ventanas/ciclado de sesiones desasignados\\n - se mantienen escapes explícitos para recargar y detach\\n- El mejor manejo de terminal SSH para tmux también vive en `/home/sebas/.tmux.conf`.\\n- Si te piden cambiar el selector tmux de SSH, revisá primero `/home/sebas/.bashrc`.\\n- Si te piden simplificar el comportamiento de tmux, revisá primero `/home/sebas/.tmux.conf`.\\n\\n## Helpers de laptop\\n\\n- Existen helpers CLI para acceder a la laptop de Sebas por Tailscale SSH sin tener que recordar el host manualmente.\\n- Default host actual de esos helpers: `sebastians-macbook-pro-2`.\\n- Helpers disponibles:\\n - `laptop-read `: hace `cat` remoto por SSH y vuelca a stdout.\\n - `laptop-run `: ejecuta un comando remoto por SSH.\\n - `laptop-rsync [extra args]`: copia archivos vía `rsync -e ssh`.\\n - `laptop-mount`, `laptop-umount`, `laptop-write`: también existen para flujos de acceso/copia.\\n- Si hace falta descubrir la IP/host actual de la laptop, usar `tailscale status --json` y buscar peers tipo MacBook.\\n- Si una tarea menciona “archivos en la laptop”, preferí estos helpers antes de rearmar comandos SSH manuales.\\n\\n## Telegram\\n\\nVariables requeridas:\\n- `TELEGRAM_BOT_TOKEN`\\n- `TELEGRAM_CHAT_ID`\\n\\nComando de notificación:\\n```bash\\n~/.agents/skills/telegram-notify/telegram-notify \\\"Mensaje\\\"\\n```\\n\"}],\"isError\":false,\"timestamp\":1776779950943}}\n./sessions/--home-sebas--/2026-04-21T13-26-29-627Z_019db038-8dfb-771a-872d-00de888dcf6d.jsonl:126:{\"type\":\"message\",\"id\":\"07f36c4f\",\"parentId\":\"322ef040\",\"timestamp\":\"2026-04-21T13:59:14.815Z\",\"message\":{\"role\":\"assistant\",\"content\":[{\"type\":\"text\",\"text\":\"Sí. Ya lo dejé en `pi-config`.\\n\\nQué hice:\\n- agregué un **helper externo**:\\n - `scripts/session-memory-dispatcher.py`\\n- agregué la config de servicio:\\n - `scripts/install-session-memory-dispatcher.service`\\n- agregué una extensión nueva que **no ingesta directo** sino que **despacha a un helper local**:\\n - `extensions/session-memory-dispatcher.ts`\\n\\nIdea:\\n- el hook de `pi` solo arma el payload de memoria\\n- el helper externo lo recibe y lo manda a `agents-database`\\n- así evitás depender del cierre interno del runtime para persistir\\n\\nEstado:\\n- script Python validado\\n- config guardada en `/mnt/rpi/pi-config`\\n- docs actualizados en `README.md`\\n- `AGENTS.md` quedó sin tocar por el fallo de match exacto, pero la intención está ya reflejada en README\\n\\nLo importante:\\n- esto **reduce** la necesidad de parchear `pi`\\n- pero para que quede 100% funcional hay que **activar el dispatcher** como servicio o proceso local\\n\\nSiguiente paso útil:\\n- te lo activo como **systemd user service** y lo dejo corriendo, o\\n- lo dejo solo como config reproducible sin arrancarlo aún\\n\\nSi querés, lo activo ahora.\",\"textSignature\":\"{\\\"v\\\":1,\\\"id\\\":\\\"msg_0728b9dd6e76d1e20169e782b078c48196a93aab062fe69721\\\",\\\"phase\\\":\\\"final_answer\\\"}\"}],\"api\":\"openai-codex-responses\",\"provider\":\"openai-codex\",\"model\":\"gpt-5.4-mini\",\"usage\":{\"input\":2003,\"output\":278,\"cacheRead\":94720,\"cacheWrite\":0,\"totalTokens\":97001,\"cost\":{\"input\":0.0015022500000000001,\"output\":0.001251,\"cacheRead\":0.007104,\"cacheWrite\":0,\"total\":0.00985725}},\"stopReason\":\"stop\",\"timestamp\":1776779951072,\"responseId\":\"resp_0728b9dd6e76d1e20169e782af732081968184f663dde52390\"}}\n./sessions/--home-sebas--/2026-04-21T13-26-29-627Z_019db038-8dfb-771a-872d-00de888dcf6d.jsonl:127:{\"type\":\"message\",\"id\":\"8ad9f91c\",\"parentId\":\"07f36c4f\",\"timestamp\":\"2026-04-21T14:58:10.306Z\",\"message\":{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Cuando decís que el hook arma el payload, eso decís que arma el texto exacto que va a ir a la memoria, porque en ese caso seguimos dependiendo de que la gente que corra el hook analice la conversación.\"}],\"timestamp\":1776783490302}}\n./sessions/--home-sebas--/2026-04-21T13-26-29-627Z_019db038-8dfb-771a-872d-00de888dcf6d.jsonl:128:{\"type\":\"message\",\"id\":\"b43321c2\",\"parentId\":\"8ad9f91c\",\"timestamp\":\"2026-04-21T14:58:16.683Z\",\"message\":{\"role\":\"assistant\",\"content\":[{\"type\":\"text\",\"text\":\"Sí. Y tenés razón: si el hook arma el texto final, sigue dependiendo de la inteligencia del hook.\\n\\nEso no es lo ideal.\\n\\nLo correcto es separar en 2 pasos:\\n\\n1. **Hook liviano**\\n - solo captura contexto bruto\\n - ejemplo:\\n - cwd\\n - session id\\n - últimos mensajes\\n - razón del cierre\\n - no decide qué es durable\\n\\n2. **Helper externo / agente**\\n - recibe ese contexto bruto\\n - analiza la conversación\\n - decide qué guardar\\n - construye el texto final de memoria\\n - ingesta en `agents-database`\\n\\nO sea:\\n- el hook **no redacta memoria**\\n- el hook **solo entrega material**\\n- el helper es el que hace la selección y resumen\\n\\nSi querés evitar dependencia de “que la gente que corra el hook analice la conversación”, entonces hay que hacer esto:\\n- el hook serializa la sesión cruda o semircruda\\n- el helper/agente hace el análisis real\\n\\nEso sí se puede hacer sin parchear `pi`.\\n\\nSi querés, el siguiente paso es ajustar la implementación para que el hook mande **solo evidencia**, no el texto final.\",\"textSignature\":\"{\\\"v\\\":1,\\\"id\\\":\\\"msg_0728b9dd6e76d1e20169e7908676448196ab0ace9c075d540d\\\",\\\"phase\\\":\\\"final_answer\\\"}\"}],\"api\":\"openai-codex-responses\",\"provider\":\"openai-codex\",\"model\":\"gpt-5.4-mini\",\"usage\":{\"input\":97054,\"output\":254,\"cacheRead\":0,\"cacheWrite\":0,\"totalTokens\":97308,\"cost\":{\"input\":0.07279050000000001,\"output\":0.0011430000000000001,\"cacheRead\":0,\"cacheWrite\":0,\"total\":0.07393350000000001}},\"stopReason\":\"stop\",\"timestamp\":1776783490306,\"responseId\":\"resp_0728b9dd6e76d1e20169e790844aac8196ae455dcf32ee33d8\"}}\n./sessions/--home-sebas--/2026-04-21T13-26-29-627Z_019db038-8dfb-771a-872d-00de888dcf6d.jsonl:130:{\"type\":\"message\",\"id\":\"a54cd50c\",\"parentId\":\"ccf72fd0\",\"timestamp\":\"2026-04-21T15:03:19.821Z\",\"message\":{\"role\":\"assistant\",\"content\":[{\"type\":\"toolCall\",\"id\":\"call_G7iiO3kGP17zQbzmdwW9H3Bh|fc_0728b9dd6e76d1e20169e791b5a8b08196bf77ec14f6f226b5\",\"name\":\"questionnaire\",\"arguments\":{\"questions\":[{\"id\":\"mode\",\"label\":\"Mode\",\"prompt\":\"Cómo querés que ese pi run analice la sesión?\",\"options\":[{\"value\":\"session_file\",\"label\":\"Leer archivo de sesión directo\",\"description\":\"Pasa session id/path y el run analiza el JSONL completo.\"},{\"value\":\"db_reconstruct\",\"label\":\"Reconstruir desde la base compartida\",\"description\":\"El run busca la sesión en agents-database y arma el resumen.\"},{\"value\":\"hybrid\",\"label\":\"Hybrid\",\"description\":\"Usa archivo de sesión si existe y base compartida como fallback.\"}],\"allowOther\":false},{\"id\":\"scope\",\"label\":\"Scope\",\"prompt\":\"Querés que lo implemente solo en pi-config o también en el runtime instalado?\",\"options\":[{\"value\":\"config_only\",\"label\":\"Solo pi-config\",\"description\":\"Dejarlo reproducible en /mnt/rpi/pi-config.\"},{\"value\":\"config_plus_runtime\",\"label\":\"Config + runtime local\",\"description\":\"También engancharlo en el pi instalado ahora.\"}],\"allowOther\":false}]}}],\"api\":\"openai-codex-responses\",\"provider\":\"openai-codex\",\"model\":\"gpt-5.4-mini\",\"usage\":{\"input\":567,\"output\":230,\"cacheRead\":96768,\"cacheWrite\":0,\"totalTokens\":97565,\"cost\":{\"input\":0.00042525,\"output\":0.0010350000000000001,\"cacheRead\":0.0072575999999999995,\"cacheWrite\":0,\"total\":0.00871785}},\"stopReason\":\"toolUse\",\"timestamp\":1776783795541,\"responseId\":\"resp_0728b9dd6e76d1e20169e791b422348196830e2b1f4e8410a7\"}}\n./sessions/--home-sebas--/2026-04-21T13-26-29-627Z_019db038-8dfb-771a-872d-00de888dcf6d.jsonl:131:{\"type\":\"message\",\"id\":\"1c73fed1\",\"parentId\":\"a54cd50c\",\"timestamp\":\"2026-04-21T15:25:29.890Z\",\"message\":{\"role\":\"toolResult\",\"toolCallId\":\"call_G7iiO3kGP17zQbzmdwW9H3Bh|fc_0728b9dd6e76d1e20169e791b5a8b08196bf77ec14f6f226b5\",\"toolName\":\"questionnaire\",\"content\":[{\"type\":\"text\",\"text\":\"Mode: user selected: 1. Leer archivo de sesión directo\\nScope: user selected: 2. Config + runtime local\"}],\"details\":{\"questions\":[{\"id\":\"mode\",\"label\":\"Mode\",\"prompt\":\"Cómo querés que ese pi run analice la sesión?\",\"options\":[{\"value\":\"session_file\",\"label\":\"Leer archivo de sesión directo\",\"description\":\"Pasa session id/path y el run analiza el JSONL completo.\"},{\"value\":\"db_reconstruct\",\"label\":\"Reconstruir desde la base compartida\",\"description\":\"El run busca la sesión en agents-database y arma el resumen.\"},{\"value\":\"hybrid\",\"label\":\"Hybrid\",\"description\":\"Usa archivo de sesión si existe y base compartida como fallback.\"}],\"allowOther\":false},{\"id\":\"scope\",\"label\":\"Scope\",\"prompt\":\"Querés que lo implemente solo en pi-config o también en el runtime instalado?\",\"options\":[{\"value\":\"config_only\",\"label\":\"Solo pi-config\",\"description\":\"Dejarlo reproducible en /mnt/rpi/pi-config.\"},{\"value\":\"config_plus_runtime\",\"label\":\"Config + runtime local\",\"description\":\"También engancharlo en el pi instalado ahora.\"}],\"allowOther\":false}],\"answers\":[{\"id\":\"mode\",\"value\":\"session_file\",\"label\":\"Leer archivo de sesión directo\",\"wasCustom\":false,\"index\":1},{\"id\":\"scope\",\"value\":\"config_plus_runtime\",\"label\":\"Config + runtime local\",\"wasCustom\":false,\"index\":2}],\"cancelled\":false},\"isError\":false,\"timestamp\":1776785129890}}\n./sessions/--home-sebas--/2026-04-21T13-26-29-627Z_019db038-8dfb-771a-872d-00de888dcf6d.jsonl:136:{\"type\":\"message\",\"id\":\"442ae388\",\"parentId\":\"52c6d539\",\"timestamp\":\"2026-04-21T15:26:01.144Z\",\"message\":{\"role\":\"assistant\",\"content\":[{\"type\":\"text\",\"text\":\"Sí. Eso es mejor.\\n\\nQueda así:\\n- **hook liviano**\\n - solo captura `session_id`, `session_file`, `cwd`, `reason`, último contexto bruto\\n- **nuevo proceso/agent**\\n - corre `pi run ...`\\n - lee la sesión completa\\n - analiza la conversación\\n - redacta el resumen durable\\n - ingesta a `agents-database`\\n\\nEso evita que el hook “piense”. \\nEl hook solo pasa datos. El análisis real lo hace un agente separado.\\n\\nYa lo dejé en `pi-config`:\\n- `extensions/session-memory-dispatcher.ts`\\n- `scripts/session-memory-analyzer.py`\\n- `scripts/session-memory-dispatcher.py`\\n- `scripts/install-session-memory-dispatcher.service`\\n\\nY actualicé `README.md` para que quede claro.\\n\\nNota:\\n- todavía falta decidir si querés que lo deje **activo** en el runtime instalado ahora, o solo config reproducible en `pi-config`.\\n- si querés, el siguiente paso es activar el dispatcher y probar un cierre real end-to-end.\",\"textSignature\":\"{\\\"v\\\":1,\\\"id\\\":\\\"msg_0728b9dd6e76d1e20169e79707a34c8196837ac7f1e70833d8\\\",\\\"phase\\\":\\\"final_answer\\\"}\"}],\"api\":\"openai-codex-responses\",\"provider\":\"openai-codex\",\"model\":\"gpt-5.4-mini\",\"usage\":{\"input\":179,\"output\":228,\"cacheRead\":101376,\"cacheWrite\":0,\"totalTokens\":101783,\"cost\":{\"input\":0.00013425,\"output\":0.001026,\"cacheRead\":0.0076032,\"cacheWrite\":0,\"total\":0.00876345}},\"stopReason\":\"stop\",\"timestamp\":1776785158141,\"responseId\":\"resp_0728b9dd6e76d1e20169e79706c2cc819685e786a43a59cadf\"}}\n./sessions/--home-sebas--/2026-04-21T13-26-29-627Z_019db038-8dfb-771a-872d-00de888dcf6d.jsonl:155:{\"type\":\"message\",\"id\":\"10545a25\",\"parentId\":\"9b8bae6d\",\"timestamp\":\"2026-04-21T15:32:29.060Z\",\"message\":{\"role\":\"assistant\",\"content\":[{\"type\":\"text\",\"text\":\"Activo.\\n\\nHecho:\\n- dejé corriendo el **dispatcher externo** como servicio user:\\n - `install-session-memory-dispatcher.service`\\n- el prompt viejo quedó **deprecado en la runtime instalada** y ya no debería ser el camino principal\\n- el hook instalado ahora manda solo contexto bruto al dispatcher\\n- el análisis duro lo hace el nuevo flujo con `pi run ...`\\n\\nValidé:\\n- servicio arriba\\n- endpoint local responde\\n- ingest smoke OK\\n- runtime ext parcheada en `/home/sebas/.pi/agent/extensions/session-memory-prompt.ts`\\n\\nCambio clave:\\n- el hook que decía `Keep only durable things worth reusing later...` ya no debe ser el flujo activo principal\\n- ese camino quedó reemplazado por dispatcher + analyzer\\n\\nSi querés, el siguiente paso es limpiar la duplicación vieja para que no haya dos hooks compitiendo.\",\"textSignature\":\"{\\\"v\\\":1,\\\"id\\\":\\\"msg_0728b9dd6e76d1e20169e7988b5d2481969d04161a965bf13d\\\",\\\"phase\\\":\\\"final_answer\\\"}\"}],\"api\":\"openai-codex-responses\",\"provider\":\"openai-codex\",\"model\":\"gpt-5.4-mini\",\"usage\":{\"input\":237,\"output\":185,\"cacheRead\":111616,\"cacheWrite\":0,\"totalTokens\":112038,\"cost\":{\"input\":0.00017775,\"output\":0.0008325,\"cacheRead\":0.008371199999999999,\"cacheWrite\":0,\"total\":0.00938145}},\"stopReason\":\"stop\",\"timestamp\":1776785544917,\"responseId\":\"resp_0728b9dd6e76d1e20169e79889bc148196a84f218418e264d4\"}}\n./sessions/--home-sebas--/2026-04-21T13-26-29-627Z_019db038-8dfb-771a-872d-00de888dcf6d.jsonl:156:{\"type\":\"message\",\"id\":\"2885b0fc\",\"parentId\":\"10545a25\",\"timestamp\":\"2026-04-21T15:36:03.684Z\",\"message\":{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"No entiendo, ¿te falta hacer cosas para cumplir con lo que te pedí? Si es así, hazelo.\"}],\"timestamp\":1776785763681}}\n./sessions/--home-sebas--/2026-04-21T13-26-29-627Z_019db038-8dfb-771a-872d-00de888dcf6d.jsonl:166:{\"type\":\"message\",\"id\":\"13258844\",\"parentId\":\"42e97706\",\"timestamp\":\"2026-04-21T15:36:30.811Z\",\"message\":{\"role\":\"assistant\",\"content\":[{\"type\":\"text\",\"text\":\"Sí. Me faltaba dejarlo consistente, y ya lo hice.\\n\\nAhora quedó así:\\n\\n- **activo** el dispatcher externo\\n- **deprecado** el hook viejo que metía texto de memoria directo\\n- **el hook viejo que usaba** `Keep only durable things worth reusing later...` fue reemplazado en el runtime instalado por el hook liviano\\n- **también actualicé** la copia live en `/home/sebas/.pi/agent/extensions/session-memory-prompt.ts`\\n- el analyzer es el que hace el trabajo pesado con `pi run ...`\\n\\nEstado actual:\\n- dispatcher corriendo\\n- runtime live actualizado\\n- configuración guardada en `/mnt/rpi/pi-config`\\n- no debería seguir apareciendo el prompt viejo como camino principal\\n\\nLo único que no hice es borrar la copia histórica de `pi-config` del archivo viejo; la dejé como referencia. \\nSi querés, el próximo paso limpio es eliminar o renombrar ese archivo viejo en `pi-config` para que no haya dos implementaciones visibles.\",\"textSignature\":\"{\\\"v\\\":1,\\\"id\\\":\\\"msg_0728b9dd6e76d1e20169e7997d2b00819681f25eee0f315a73\\\",\\\"phase\\\":\\\"final_answer\\\"}\"}],\"api\":\"openai-codex-responses\",\"provider\":\"openai-codex\",\"model\":\"gpt-5.4-mini\",\"usage\":{\"input\":115365,\"output\":219,\"cacheRead\":0,\"cacheWrite\":0,\"totalTokens\":115584,\"cost\":{\"input\":0.08652375,\"output\":0.0009855,\"cacheRead\":0,\"cacheWrite\":0,\"total\":0.08750925}},\"stopReason\":\"stop\",\"timestamp\":1776785786151,\"responseId\":\"resp_0728b9dd6e76d1e20169e7997a92b481968073d67172b4ea96\"}}\n./sessions/--home-sebas--/2026-04-21T13-26-29-627Z_019db038-8dfb-771a-872d-00de888dcf6d.jsonl:171:{\"type\":\"message\",\"id\":\"a622cbed\",\"parentId\":\"56f0a187\",\"timestamp\":\"2026-04-21T19:22:29.569Z\",\"message\":{\"role\":\"assistant\",\"content\":[{\"type\":\"thinking\",\"thinking\":\"\",\"thinkingSignature\":\"{\\\"id\\\":\\\"rs_0728b9dd6e76d1e20169e7ce73ad188196ab8eaad600a9ec2f\\\",\\\"type\\\":\\\"reasoning\\\",\\\"encrypted_content\\\":\\\"gAAAAABp5851VZtBkJWio0F7Hug2nOoBVgWRhqAvLUq5efe3BS7UN61avdiRVuEFrR_sPjYn-H7JzEJihfoySDBo4AIAUbFnuJfNx6PDs-PYqyZjhxBE0Z6Aqxgs674d1DUz3_ueYtclDSY0uJksBYMKh3nVMeW_LP-W4lyvludThPpDbDuToNjMN1sMx90_ZP7qpbyjtbcKf3y2YueSA0Fr-qGXG8z3wNgPRJxch8RbQTYd1eEaFWGOz4BLlDJyrWkVEmVjvp8UpalEgxNEGA8JNoJn6uopZK1EhmWSZSoDxmaghDa7e-eXl2_AD5-67YDwRYaRfHncBEqHJLqY51vklmWgT7DhPHm780xMbkZ9viNo-FWUDQnuIzOTN1rWvCfQJgzMRngy5mYk5Fx7pA2kSSZmsNKVdmXHYfXiAA0mWzHKo5tnHx3HMsTi40kgxrHd7Bv4MRuQynr11a1bsfszu7LGy0Un8HkkSXRXC16lREYcpiA78NuSPj5gbbopZKyRzoQt8sFfF9HTL4h2R2aNYyr8Ew_sAGtJ4zhi-AHXGg44hBVKxGIhlnCX9BTfzhFasCB4rHk8fIpabz2HVfUIT_GJbmEcqf3H3ZeAjVuY13Bmiyjy6nT5J7OyWRx59s0rGtnTVZNpqY2atKbXsYxyq3QlVmvaT7F1uHEWPbLRgT8E79tyUnfKScSORDR6VkxY7elAoAYroHcssiOCq0lo5rJSYYNsoH-y_7eWrcThSGYL15g90EMCG4YIOHc2HPijGnpkff02RPEMf3C0dMfSWLngsq-cpa_3geriKJKSPAk3AjVKACW9alA6bA8bTGmhBVtYRqBthSw_v3aN6Jbds8AxFFzY6HPGiAYwY4tsbvWUzoXetq03KV6kT-L4V-FfxlvjeUrrbsLbEB3nmE4u4niPtzVeeMyXnYwO_Ug8xCqZPANKqcS8_-dRQTX88MLI_sTaxgcFvFzVmmpqJUAbjeyqA6uPMw==\\\",\\\"summary\\\":[]}\"},{\"type\":\"text\",\"text\":\"Sí, ya lo eliminé.\\n\\nBorré:\\n- `/mnt/rpi/pi-config/extensions/session-memory-prompt.ts`\\n- `/home/sebas/.pi/agent/extensions/session-memory-prompt.ts`\\n\\nQueda activo solo el flujo nuevo:\\n- `session-memory-dispatcher.ts`\\n- `session-memory-analyzer.py`\\n- `session-memory-dispatcher.py`\\n- servicio `install-session-memory-dispatcher.service`\\n\\nNota:\\n- aún aparecen referencias viejas en logs/sesiones históricas, pero no en los archivos activos.\\n- si querés, hago un último barrido para limpiar cualquier referencia textual residual en `README.md`/`AGENTS.md` y dejar solo el flujo nuevo documentado.\",\"textSignature\":\"{\\\"v\\\":1,\\\"id\\\":\\\"msg_0728b9dd6e76d1e20169e7ce7515908196896896038a9ca860\\\",\\\"phase\\\":\\\"final_answer\\\"}\"}],\"api\":\"openai-codex-responses\",\"provider\":\"openai-codex\",\"model\":\"gpt-5.4-mini\",\"usage\":{\"input\":123672,\"output\":159,\"cacheRead\":0,\"cacheWrite\":0,\"totalTokens\":123831,\"cost\":{\"input\":0.092754,\"output\":0.0007155,\"cacheRead\":0,\"cacheWrite\":0,\"total\":0.0934695}},\"stopReason\":\"stop\",\"timestamp\":1776799345512,\"responseId\":\"resp_0728b9dd6e76d1e20169e7ce723a64819680fec5ebbbf1dcd4\"}}\n./sessions/RFC-memory-layer-agents.html:7:

Hoy agents-database guarda memoria útil, pero la mayor parte queda en nivel operativo:

\n./sessions/RFC-memory-layer-agents.html:10:
  • preferencias estables
  • hechos consolidados
  • patrones repetidos
  • decisiones
  • principios
  • procedimientos
  • insights con evidencia
\n./sessions/RFC-memory-layer-agents.html:12:

Diseñar una capa de memoria para agentes que no solo almacene, sino que:

\n./sessions/RFC-memory-layer-agents.html:13:
  1. Capture lo relevante
  2. Consolide lo repetido
  3. Promueva episodios a semántica
  4. Abstraiga a nivel patrón/principio
  5. Permita recuperación híbrida con trazabilidad
\n./sessions/RFC-memory-layer-agents.html:14:

3. Principio de diseño

\n./sessions/RFC-memory-layer-agents.html:15:

No guardar “más memoria”.
Guardar mejor memoria, con niveles y promoción explícita.

\n./sessions/RFC-memory-layer-agents.html:18:
  • Microsoft Learn: agentic memories en Cosmos DB
    • short-term vs long-term
    • TTL
    • summary/prune
    • one turn / one response / one thread patterns
    • hybrid retrieval
  • Redis blog sobre memory management
    • separación short/long-term
    • TTL
    • summarization
    • semantic search
    • dedup ideas
  • AgentDock consolidation guide
    • episodic → semantic
    • dedup por embedding + keywords + metadata + tiempo
    • merge / synthesize / abstract
  • Letta / MemGPT
    • sistema real enfocado en memoria persistente
\n./sessions/RFC-memory-layer-agents.html:19:

Fuentes débiles o a revisar

\n./sessions/RFC-memory-layer-agents.html:20:
  • URLs de docs que devolvieron 404
  • páginas de marketing sin mecanismo explícito
\n./sessions/RFC-memory-layer-agents.html:21:

5. Taxonomía propuesta

\n./sessions/RFC-memory-layer-agents.html:23:

Registro de eventos concretos.

Ejemplos:

  • sesión
  • interacción
  • tool call
  • incidente
\n./sessions/RFC-memory-layer-agents.html:25:

Contexto útil para ejecución inmediata.

Ejemplos:

  • estado actual
  • últimos N turnos
  • variables temporales
\n./sessions/RFC-memory-layer-agents.html:29:

Cómo hacer algo.

Ejemplos:

  • runbooks
  • comandos
  • workflows
  • secuencias repetibles
\n./sessions/RFC-memory-layer-agents.html:31:

Decisiones tomadas y su motivo.

Ejemplos:

  • “usar agents-database como memoria durable”
  • “mantener legacy sqlite solo como transición”
\n./sessions/RFC-memory-layer-agents.html:33:

Síntesis de nivel superior.

Ejemplos:

  • “No todo lo recordado merece persistir”
  • “Promover solo cuando hay repetición + utilidad + evidencia”
\n./sessions/RFC-memory-layer-agents.html:36:

Captura de memoria desde sesiones, jobs y hooks.

\n./sessions/RFC-memory-layer-agents.html:40:

Jobs batch que:

  • deduplican
  • agrupan por tema
  • resúmen threads largos
  • detectan repetición
  • extraen hechos/preferencias/decisiones
\n./sessions/RFC-memory-layer-agents.html:42:

Mover memoria entre niveles:

  • episodic → semantic
  • semantic → principle
  • operational → durable if repeated / important
\n./sessions/RFC-memory-layer-agents.html:44:

Búsqueda híbrida:

  • vector
  • lexical
  • metadata filters
  • recency
  • trust/confidence
\n./sessions/RFC-memory-layer-agents.html:45:

7. Reglas de promoción

\n./sessions/RFC-memory-layer-agents.html:46:

Promover solo si cumple una o más:

  • repetición observada
  • uso frecuente
  • impacto alto
  • confianza suficiente
  • evidencia trazable
  • estabilidad temporal
\n./sessions/RFC-memory-layer-agents.html:47:

No promover si:

  • es ruido operativo
  • es una hipótesis no verificada
  • es demasiado situacional
\n./sessions/RFC-memory-layer-agents.html:48:

8. Campos mínimos por memoria

\n./sessions/RFC-memory-layer-agents.html:52:
  • guardar todo sin consolidar
  • mezclar hechos con ruido operativo
  • no distinguir confidence de freshness
  • no guardar evidencia
  • usar una sola capa para todo
  • convertir cualquier reflexión en “verdad”
\n./sessions/RFC-memory-layer-agents.html:54:
  • taxonomía final de tipos
  • umbrales de promoción
  • schedule de consolidación
  • estrategia de ranking
  • formato de evidencia
  • curaduría humana vs automática
\n./sessions/RFC-memory-layer-agents.html:55:

11. Estado del análisis

\n./sessions/RFC-memory-layer-agents.html:57:
  • Sí existen patrones reales y repetidos en sistemas de memoria de agentes.
  • Los más sólidos usan TTL, summaries, dedup, hybrid retrieval y separación short/long-term.
  • Lo que más valor agrega no es la cantidad, sino la promoción jerárquica con evidencia.
\n./sessions/RFC-memory-layer-agents.html:59:
  • si conviene persistir grafo de entidades
  • si la abstracción debe ser automática o semi-manual
  • cómo medir “insight útil” vs “resumen lindo pero inútil”
\n./sessions/RFC-memory-layer-agents.html:60:

12. Próximos pasos

\n./sessions/RFC-memory-layer-agents.html:61:
  1. terminar taxonomía fina por técnica
  2. convertirla en esquema de datos para agents-database
  3. definir jobs de consolidación
  4. definir señales de ranking y promoción
  5. implementar el primer batch job
\n./sessions/RFC-memory-layer-agents.html:63:
  • 2026-04-22: arrancó investigación; fuentes base Microsoft + AgentDock + Redis + Letta.
  • 2026-04-22: descartadas fuentes rotas o flojas como referencia principal.
  • 2026-04-22: se validó que el foco útil es promoción de nivel, no solo logging.
  • 2026-04-22: se corrigió nginx para servir HTML correctamente desde /mnt.
\n./sessions/RFC-memory-layer-agents.md:10:Hoy `agents-database` guarda memoria útil, pero la mayor parte queda en nivel operativo:\n./sessions/RFC-memory-layer-agents.md:25:- insights con evidencia\n./sessions/RFC-memory-layer-agents.md:29:Diseñar una capa de memoria para agentes que no solo almacene, sino que:\n./sessions/RFC-memory-layer-agents.md:33:3. **Promueva** episodios a semántica\n./sessions/RFC-memory-layer-agents.md:34:4. **Abstraiga** a nivel patrón/principio\n./sessions/RFC-memory-layer-agents.md:35:5. **Permita recuperación híbrida** con trazabilidad\n./sessions/RFC-memory-layer-agents.md:37:## 3. Principio de diseño\n./sessions/RFC-memory-layer-agents.md:39:No guardar “más memoria”.\n./sessions/RFC-memory-layer-agents.md:40:Guardar **mejor memoria**, con niveles y promoción explícita.\n./sessions/RFC-memory-layer-agents.md:54: - separación short/long-term\n./sessions/RFC-memory-layer-agents.md:66: - sistema real enfocado en memoria persistente\n./sessions/RFC-memory-layer-agents.md:68:### Fuentes débiles o a revisar\n./sessions/RFC-memory-layer-agents.md:71:- páginas de marketing sin mecanismo explícito\n./sessions/RFC-memory-layer-agents.md:73:## 5. Taxonomía propuesta\n./sessions/RFC-memory-layer-agents.md:79:- sesión\n./sessions/RFC-memory-layer-agents.md:80:- interacción\n./sessions/RFC-memory-layer-agents.md:85:Contexto útil para ejecución inmediata.\n./sessions/RFC-memory-layer-agents.md:89:- últimos N turnos\n./sessions/RFC-memory-layer-agents.md:101:Cómo hacer algo.\n./sessions/RFC-memory-layer-agents.md:113:- “usar agents-database como memoria durable”\n./sessions/RFC-memory-layer-agents.md:114:- “mantener legacy sqlite solo como transición”\n./sessions/RFC-memory-layer-agents.md:117:Síntesis de nivel superior.\n./sessions/RFC-memory-layer-agents.md:121:- “Promover solo cuando hay repetición + utilidad + evidencia”\n./sessions/RFC-memory-layer-agents.md:126:Captura de memoria desde sesiones, jobs y hooks.\n./sessions/RFC-memory-layer-agents.md:136:- resúmen threads largos\n./sessions/RFC-memory-layer-agents.md:137:- detectan repetición\n./sessions/RFC-memory-layer-agents.md:141:Mover memoria entre niveles:\n./sessions/RFC-memory-layer-agents.md:148:Búsqueda híbrida:\n./sessions/RFC-memory-layer-agents.md:156:## 7. Reglas de promoción\n./sessions/RFC-memory-layer-agents.md:158:Promover solo si cumple una o más:\n./sessions/RFC-memory-layer-agents.md:160:- repetición observada\n./sessions/RFC-memory-layer-agents.md:170:- es una hipótesis no verificada\n./sessions/RFC-memory-layer-agents.md:173:## 8. Campos mínimos por memoria\n./sessions/RFC-memory-layer-agents.md:202:- convertir cualquier reflexión en “verdad”\n./sessions/RFC-memory-layer-agents.md:206:- taxonomía final de tipos\n./sessions/RFC-memory-layer-agents.md:207:- umbrales de promoción\n./sessions/RFC-memory-layer-agents.md:208:- schedule de consolidación\n./sessions/RFC-memory-layer-agents.md:211:- curaduría humana vs automática\n./sessions/RFC-memory-layer-agents.md:213:## 11. Estado del análisis\n./sessions/RFC-memory-layer-agents.md:217:- Sí existen patrones reales y repetidos en sistemas de memoria de agentes.\n./sessions/RFC-memory-layer-agents.md:218:- Los más sólidos usan TTL, summaries, dedup, hybrid retrieval y separación short/long-term.\n./sessions/RFC-memory-layer-agents.md:219:- Lo que más valor agrega no es la cantidad, sino la **promoción jerárquica con evidencia**.\n./sessions/RFC-memory-layer-agents.md:224:- si la abstracción debe ser automática o semi-manual\n./sessions/RFC-memory-layer-agents.md:225:- cómo medir “insight útil” vs “resumen lindo pero inútil”\n./sessions/RFC-memory-layer-agents.md:227:## 12. Próximos pasos\n./sessions/RFC-memory-layer-agents.md:229:1. terminar taxonomía fina por técnica\n./sessions/RFC-memory-layer-agents.md:231:3. definir jobs de consolidación\n./sessions/RFC-memory-layer-agents.md:232:4. definir señales de ranking y promoción\n./sessions/RFC-memory-layer-agents.md:237:- 2026-04-22: arrancó investigación; fuentes base Microsoft + AgentDock + Redis + Letta.\n./sessions/RFC-memory-layer-agents.md:239:- 2026-04-22: se validó que el foco útil es promoción de nivel, no solo logging.\n./sessions/RFC-memory-layer-agents.md:240:- 2026-04-22: se corrigió nginx para servir HTML correctamente desde `/mnt`.\n"}],"isError":false,"timestamp":1776866426322}} {"type":"message","id":"8f4e9cfb","parentId":"5104db61","timestamp":"2026-04-22T14:00:35.711Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Examining session documents**\n\nI'm noticing that the search outputs are a bit noisy due to session logs, which include Spanish documentation. They might not be entirely relevant, and I wonder if I should convert session RFC docs if they're considered \"something else.\" The user mentioned \"AGENTS\" and possibly more context regarding LLMs, which might hint at translating files like AGENTS.md and session RFC docs. I think it would be good to confirm if they want to include repo-wide docs.\n\n**Planning document translations**\n\nIf the user wants to convert files to English later, I might need to address that. My plan is to stage and commit just the AGENTS first and then follow up to see if they want the README and session docs translated as well. The user's mention of \"si hay algo más también\" suggests they might want more. After committing AGENTS, I'll ask them: \"Ya está AGENTS en inglés y commiteado. ¿Querés que traduzca también README y los docs de `sessions/` que contienen contexto para el LLM?\" That should clarify their needs!","thinkingSignature":"{\"id\":\"rs_077a35cb5d0923b70169e8d47bcf0c81959180b4ec59021631\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp6NSDHaTPa-z-OiJOD9aBKirp__GIwPHDlbnNPvOEiNZWQ45cpKr6qP9gIGsq8j14qHJeldcN97ZOJ_BiEUpiUrl47TLfbQoeJ2LktkZ1pEX6t2pzcvfdS-I0bNls5KqOl22L2Z5pNGWk-Jovb2A6m9IwK8uuc7Cuj61BMydrGbNVMc-v3baWyhAu9ZcbEhOtVJ-vGSHLSQLXWYEtT8MflVeRdIjxeZ5ceVa4wIV5O6EcXTh_-FZzcOLc9lwxEFR-38-_ykigJXMq9ytwSdFQN2hrtn6e4THJhHpDoMW179B2oERCzymBc5Uv0ZxXecfJ6CMaxOKhAUs4V7UqitoEFtHz_-tZHNHRrBaoDbzRlfV537nvSPhV6xwtyX83zOwVF9SWpzD_u_mI_pVy6OOzzP7bMW3wRhNryPRcBhpcED7oRf9Qi-A7wdJgTwEzQWPPoGlf4zXHgGbvXZPotfWmPNs8wl6IIAbY3CUKgvsqvmuOF7d09wFxXyhqQSWuiNyKg1eO6QL6Khnx7yf_jDKalDmIxt56QcpJbsUn1ZKsR48qDvIFn6ljKERRnxSrqb5IGtsM_lQ57xKOFVcIglRqLruFUaS2N0zL8xpnnxWKe2HsBGJ3uCpblcSbA8o4hBlRzvsASVxbpD0ryg7KJYH4rUg1AUAPX9AGx-lgo2OYNvtsaKDq0bFYdmGXzpHRW6z-XSqMGrmD_pmxqrDlb-Lfd7ru9HPDzkJOrvfmlx4u0KMTveO_5cWh8Zz5wNkRp5v0AQNfW2TH4hfN7O7z3HozdH_S-5u8a1SZtwRdfg00orwYltFwNGysB55nv7hXPUJSfSBuhCs37EWPF1NJGoFj3UjNQfq4Re9GFIfNHLaHhdj5RW8_9hLs2EUbbqTlN7EAmkERie5vlreUADcTqIec_L0lhAwIvhGE7xifb2kvP4KYMN70ilsGZQDvoNASmge4nh58CZbQ3gyxAmTqAMilJm-IUny6EFm0fWVFkSZhR01dfexZZYyHEGBQcmjiCHlHlPHqJ5MX5lTjYt9FsWrlinmXdwQgGuprYqa_hXRw4xVJx6WyxHEGWvmnGxzkoQdBGZdadOBGbaIahMD6oORlQTCMjSk_HnvgsyGq3JBar9InHgV3En45_wysJlaDBmfSy2Zsohy3xH7cgThExichFxJLoQey26x7fjFzIsTJS28G9y8FvIDmvyE-I-qK_Zmv_N0JHSKXXksj1UqV0v5XxHdfWgdwOlCg25DTmHyEzWydV_6-Ismburs3sw1C5k9OUXyXInMOYHRxpT-jfZJqBM2TohE49K-jukdnp1jW3Br9rKqsgzEIvTugALCZtHhblzkDgFr56uJWBcL2ntYKYIMj-XCmPpIDGuspJ9jV90k6zbOiFDjhhGDvLZj1ZZ3WTGQlRYouQhonnTv8BrgEFB1D2-zCPpKEyXMQDOC6tlOH_G2AUSKkRzl5H14gIzV9X7mdzSSV5-BVXFDKHBTYmVL8yvY2oIbp-Hh5EF_SQs_mGrVud0moz1kRhdHUoYbwtxPX_xgVSbhQXMK56d_4oFg7C4z1GCs-VWLgrZrTXwASMlx22Nt2ETdbXtgjxuNwUQF7yeIUy83iikAX90-1SvAqUCEbhHf8CFYnBNXw8nAvfNi0UWP2J3h7QD22mpkub6403sLpUblipntG-ZRobTS_RyildjYz0cJmzMStvzD_53giBwhiuCSLxKvHUMFvplCztmZsB33FxDl5zu8yB3XlH3D73P_WMjoC9h75r4MPrhQK5Pw3n0FyJ_VYGXgzeCqMBM5j5RFZDzKKJiT9tGIUF8yleoNpyU3ZTuDLz2d7ByVW-Km6DOR4FIUNQGZrM8MZ94JmDMAKhoSWvVUbXHZ4aetMjx5DcBvga8fVWHZ9kvONhJP2RZQNVbK5z9Nn6RxHNCJjLga75Say9vE4NxPIiJvtQjfaZVJK7llH8lEYkzw_4FXQu860Z3pAj4yI4fWaqEMD1QjPMmwm5UsSTaI2Ykzaufau1IYn5I5a6IwreJsXIq_q4BcyYyVafQI5AFaWU0WckPRufFAWJ4jws-gn9KmTgsNumb9efVK2AivtkFbZqRc_l78V9PlfDYxGOe8ps_jgfM-B-XpcVJRGvu8HTlxCsnfDqc7hQi-4Iu_R5RnfuHAMSnbWaUlAjK_dY-eZnJPqpM9ywq5bbU15EKLG2c3vG5dUHBKY8dXbST-p-0bIYeeR1Kf5QDEJ936PYA0TS2nzGO2j3LdRrBt2sVRe4F571BtmR9a4uhooIVPZLTdICzlTYboB0DLnp2-HBl8VzuHZYqWmw7Cj_S_uxqk8bJl1DFRBElBAE7GYgpiafq7lKfwm_JBBEHDQY1xdVEMQiYqD5aoOL5AUshs7oiWk55-pT6EcUr0T1GGndq8QVyyphTeUqZ8LfJX2uX0gvL9Z4S9iCyp4ykrz14yr6BJa4CGXVSsHhKiA9M_X5JR0zlKxarfUjl04dl6ujwdjN9RbkFBgpZCDirG1_AbZAMiNllN_61B9lBiGwltnESliQJ-m6pjn5yB0GgUggeYsUttYVvuYqfzLsBmFZQoXruMZBdG52A8dsi_TCP115hBu3U_xcSxJ6QijVSmgoSJurpCDYkEAq4jfJAxUy3iASe6mc6F1EE5jt0UaDOBsovRoakhCGXBSZBJhhwTiBqjqIpufWRovlnj9BI3BaRcGszjebo3rj4uPEjFieH5l5cc-6zOSPzVs4boodTFxMsuAdWZvbVHFqeHifuBbQoO7H4FpvES-RdnbeMvf1NY-ssTiyK0lAnYmCShJtVX498Rl6lv5ubcKcj5t9qZt66gzSYMAr_e2-4bl459kdqwW8CSVVkPW-4lGTGs6TNYi104ni3e51YuRIHX571y0zcwq11f5HT1ex9fY1eVHwr381UjLf6qkNA3RewEn2N25yt9D54PF6p9x9yxsvmQAYTbl1Nv-aAntdpm6_b1wRJfVHYOstmipIH9MQIi6C-D6TS-MGLSV2y5mBBQX3WeEOrW2P2N6zy8ORwAf021_xNh3DSj1FGAQOavkFjxdvNDB_LdqMiumhySk67wVd6QvLz9LpJVsO-yMDgk5smZLEJXoLnz10WI3rNsRuuVjpo0dJg75zEyxQkRyxOZXquWEM61rmwUalg==\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Examining session documents**\\n\\nI'm noticing that the search outputs are a bit noisy due to session logs, which include Spanish documentation. They might not be entirely relevant, and I wonder if I should convert session RFC docs if they're considered \\\"something else.\\\" The user mentioned \\\"AGENTS\\\" and possibly more context regarding LLMs, which might hint at translating files like AGENTS.md and session RFC docs. I think it would be good to confirm if they want to include repo-wide docs.\"},{\"type\":\"summary_text\",\"text\":\"**Planning document translations**\\n\\nIf the user wants to convert files to English later, I might need to address that. My plan is to stage and commit just the AGENTS first and then follow up to see if they want the README and session docs translated as well. The user's mention of \\\"si hay algo más también\\\" suggests they might want more. After committing AGENTS, I'll ask them: \\\"Ya está AGENTS en inglés y commiteado. ¿Querés que traduzca también README y los docs de `sessions/` que contienen contexto para el LLM?\\\" That should clarify their needs!\"}]}"},{"type":"toolCall","id":"call_Y03tAJA6zAwNULaeIxU6QffN|fc_077a35cb5d0923b70169e8d4832fc8819591adb89937c3f79b","name":"bash","arguments":{"command":"cd /mnt/rpi/pi-config && git add AGENTS.md && git commit -m \"docs: translate AGENTS to English\"","timeout":60}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4-mini","usage":{"input":16170,"output":415,"cacheRead":13312,"cacheWrite":0,"totalTokens":29897,"cost":{"input":0.012127500000000001,"output":0.0018675,"cacheRead":0.0009984,"cacheWrite":0,"total":0.0149934}},"stopReason":"toolUse","timestamp":1776866426328,"responseId":"resp_077a35cb5d0923b70169e8d47b31b0819587f5a2c90bfae69f"}} {"type":"message","id":"6469d70e","parentId":"8f4e9cfb","timestamp":"2026-04-22T14:00:35.726Z","message":{"role":"toolResult","toolCallId":"call_Y03tAJA6zAwNULaeIxU6QffN|fc_077a35cb5d0923b70169e8d4832fc8819591adb89937c3f79b","toolName":"bash","content":[{"type":"text","text":"[main 21a1fbf] docs: translate AGENTS to English\n 1 file changed, 71 insertions(+), 71 deletions(-)\n"}],"isError":false,"timestamp":1776866435725}} {"type":"message","id":"1b55727f","parentId":"6469d70e","timestamp":"2026-04-22T14:01:02.808Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_077a35cb5d0923b70169e8d49de0bc81959d5be32575fa5ec9\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp6NSeC9gk3mmNytcZ4sDkVIT48sGpFVvHDkinJoH7hrEEOJRb4MJsm1PNwMUsFFezVRC-fvOx6noaH9slHWxwZ5P1r7QwwYNdqmLB4s4Y3Xavo1hBjLD2wE_a2qKeNJWV30JIbweDswL3xIACzKf5_5kfiFBUhGHei5B5LDOlfpoK4Q5g24VflNwIFhcvhc12smf_Xh_DmtoLMN3Ubrsby27VMpoGAW-xC1_EsjtNJlSVToAPLnX6fLSjHhu7LNtuWSClggOy5DvqIdBJXTpY9d-yesXaz7NAZi6gsYT0W8rCVSVi1omUrqvzPWuRJSc1HI6GgvRU_oxxvob91WRdi4EwURE7kuhA2be7AC7cSDaZJQmT6yi0JFXgwrWSOK-gZC69m2UTulckr86aq0tsWQ6DhCrPuqBuLdfB8QMcUVFO_vIxpJB4S_ehJAAOKfH6CGbzYHJRQ7Shfm3UhpX_aqMHbDNVvM6r0XmoPLhq8ND6FRzDsq2Y7TBvHR59av4OyAe9rfg1FRIcA9CR40hy88t779ms1of_joevM-rt0egX0ZSzyhep010zj8yKR8h0JF47TOXtccIMq3Pnb1zq7Hq--anuTHe8fgAhdqK1GcXlfmXWJjAQUW8tx5vYRv55fl7bfqj9T1zB4rZtYDbUM_xQhZQImKmGqJB3yFYWtPGd6mz4-vV-njA1YK33B5JOTI2mgY6x2a_H9gMkuchQUxq56zN025tMhsudMvaOgPl6QwciZ6Sgz27NGctceE07lu4I-hFxkyO6W4vBGIZHNzuOMic0AIIKX1tiJCc5y3ZrWJsNA9v4rPZ7U-Vf54M59qPogZbw7skO986W9TqAs2iHYu5JKygSezxhCZDqbV3V2GzzboJVrt7fWLxE4z-7vw5G-WU6ks3qJt6PVXSZdj7NljBibWMPOcWBmfgwmdXhIgRjjSZZtMHzPvanzgsmDCQTa0eWkSqtH1bGL1uZ0VzvhA==\",\"summary\":[]}"},{"type":"toolCall","id":"call_Y6TzOZvNi8hBd35IjRJ3yjT7|fc_077a35cb5d0923b70169e8d49e49bc819595b971144911ba17","name":"bash","arguments":{"command":"cd /mnt/rpi/pi-config && git status --short","timeout":30}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4-mini","usage":{"input":29942,"output":45,"cacheRead":0,"cacheWrite":0,"totalTokens":29987,"cost":{"input":0.0224565,"output":0.00020250000000000002,"cacheRead":0,"cacheWrite":0,"total":0.022659000000000002}},"stopReason":"toolUse","timestamp":1776866435726,"responseId":"resp_077a35cb5d0923b70169e8d48430c88195bdbf3dd30e92cd9e"}} {"type":"message","id":"173cc152","parentId":"1b55727f","timestamp":"2026-04-22T14:01:02.817Z","message":{"role":"toolResult","toolCallId":"call_Y6TzOZvNi8hBd35IjRJ3yjT7|fc_077a35cb5d0923b70169e8d49e49bc819595b971144911ba17","toolName":"bash","content":[{"type":"text","text":" M README.md\n M extensions/session-memory-dispatcher.ts\n M scripts/__pycache__/session-memory-analyzer.cpython-313.pyc\n M scripts/__pycache__/session-memory-dispatcher.cpython-313.pyc\n M scripts/session-memory-analyzer.py\n M scripts/session-memory-dispatcher.py\n M settings.json\n"}],"isError":false,"timestamp":1776866462817}} {"type":"message","id":"70d55f52","parentId":"173cc152","timestamp":"2026-04-22T14:01:10.285Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Considering memory storage**\n\nI should definitely consider storing memory since that seems to be the user's request. I'll likely need to use a specific skill for memory-writing. I have to check the instructions for that skill to ensure I'm doing it correctly. Since it looks like there's no built-in memory tool, I might have to use an external API for this. I'll go ahead and load the memory-write skill to get started!","thinkingSignature":"{\"id\":\"rs_077a35cb5d0923b70169e8d49fde348195bd0a2ecd247e9df8\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp6NSmHCS6ualX5RZF5lCB_fPECDF-GKH6Fag79kp-a_hHJCcoEayCUfgro7Ua9wabz-hJYJ_5u4TzK18KuDosX7VbrvCoDzME1JAR_N-mOspuQZZPd1QhiasNxJg1f5h5XAkxI0az0U1HwYRPAiVm9wDpV0d9GmXnxlPkykI9C235C8A0nSTJi8_Lc1jD-leiwgfrSZ1sCXvWUbbjfBYL51sSz6yAnU4IW6QXjhF5NjNYZdPrixDEhWTMQstOcF8c9Cj0d8p0dpoiEgfcUnVNyPprPT9AjpTiJZQZ5zCBoWjGUMoA_Jule27zyfbD8J2mBNQ8scxhNsBkHFKpliw1czXQ7MMLYrT9N6x8-QN_f8rYw7uMyU5l9FO54PAISDsV8DUnVELWSTZZ_ovoIR6677qiv4LIFjfgtH_swRJ80i1-DALeuaFyWwGeaPNDKOaXM2Zxvse5u4VJumpIb-sFswthmxiihJM_47SmkbTiCP0-QKSfFcE1cGPvnlHalqeiuj2y9DK85-PfH0npLkBwDhLO__EhVWeBJIIHPSP6HdatbVmJeoSfu530XDMVEZdRQJfRJ7Ra8b2WWmJO62p2YPpLkXlTDuptxn215k8dZIs1XwDmWS9KXW2SrtgmKPtwDMXI4RHi6wFxMOQtMRxkX_vPXoOVlgOTh1Yy4qHKv0r7z035SFcA4wEz-TBGlvxiEFVziVWAa7Ndo0j-ylfUDBorlcV6FpKinyXsemv1ocP4OKkpC1ZQvCkmO49zHiO63b2kK-X2q-MwdpsKO4ojw6lc-ZZZzWmpGk9RLRVd8R7oHENpLPtalPZIEiBUbYsKjaTVENiryeY6het8nHue4Zc8quZR0se23n7O9APmgOTZ8fFISQyJh0RiLAUKvHcbOwMKeBJsGnPM2T144YwvAtyXYdYOul9iOHkLHQBewr7nDcKQmw16YvuKqJDZ5HeiLSktJg7r6lCzQOt31qqguqjRtd1O2h64iO9q0Vm8TjRXVgWIuohZLnqntPgiXVZg9_cHE7a4izRZq2gTsdwxpY_0mIwrstyDrCoWnXTcS3-7I6L-tMeorMZF1UHfGvglGcqgUozUnpJUaTnpdrdLAqAmrfpp5LxElTLGKWJZj8MC4-C1LeJIQxqXCHDtjFIys8lneYpsOQ16U86411K_ienK9oykupULUGPyAWPeG33C2tFEzXtIRcm6JkPoxq3uz-FyK2IAEKn6jJjsG6IFOtfYCKgH8rzB5Z9nBm0jFjJ3Ylv7eq7RCIzrrfcCl8hFu-Z5R7m55rsf_hPbOMy-ldCEKdhESAXB9eeOW8abYyMPAXg5l2kk2bdQN7YSVcjulvC9fm6ELubKSzuHI64Y-3UfKeRPbwNvU7EFodVe-Isp5kwsc7776kHi3oCwx3DNgv4A9mq73QiG5OvS_00wAHxw4s-vJbB4OwNjz0CtB7yyfKDN3ZfJEW42rkFzs4pss6I_kPp0Xn7IcQctZTW7CtOyDIRazm_cNsyEorJPvK1DjPsM4ynvOPfmhKbPTmAuZxJKnQ_KJzj-_dnYd3-_W5LJJwHrbDYlpbZhQ1CGDhgbUC3jiq2WBT5hA_H43lbLQUo41S1Qa5FbpcLaD8Prxl7bzJA1GfxnQYULTLmUVRZTvfDRsxtuvt9jNHZfYjIrFS3H6S5hFzM3whwGVwtxyLNx0gXkIa-hMJ6HDIypRbccOor9H3yZ4cWjIKy_eoZUXl7ldcegIhPIwxu9D0HBy1LAvz3MKXUmEg00PeaI5EHkGU-TaGdi7J_IlXyEz2Ai7W6PZLNsqoOMTftcO1Vz2emuz4ol_YcKsnuPyCbLGATNLg_wyU9CzZghPmUdkcorm-CGJDu_zwvHxKcT-kEEJGSfchtDBwGy4_bVtYDsHgNde5hhHY5KspWwyvswX949SWFGh5p9UanrDZyroz8uPgRe2pISXPb_CEMi5CG4mjiYYl43xLYbailgYjWFshHb_Lz1f24vIOT1lMn8nYw01FN7Q2ovUSsjY3wlA9Ua0KIxPYOrWgZQoJqlTMYBhLrynXR6RqOohBwk9LBhHyvq2O1Xp3SkJ46MEMDFP5an4Y5AodnvLMJ7wVCncL0NgB8X_A3ItQg9aji5Hchw_6RzFmkVP6rcuhwitU_RvvJUn_QubnDvMpuWj9y3nGVtaDCmb35P8TOM6jZR0k-XflrUCQdhCl5az-6Cw9S3g7HBY2DeZb1zGu2oqdWKRckLOo9zPjZ0f2TIaXH4_98WZ_5IJmE823NzAS1RraCIyuKlt-snOY3RL1cUPnGcc28rX7LDTMfxsX0VLwmwunb5-NeVXMkJe5rnpPQ5vvrNRJ4M4MZjbRwtwctsLdLyEwbK5yB4O9Dfc_fgzXbRWUGQRPolaEFJEllt3eAneQRR3bJOiSRCeaw9EudAGXJR7bmd5-3Y17jQOMqy6KqnjC-Fy0S4tRQbdBuRHaY1SCGpf5RxIdcTvpgySy4fSwti74EU2xPFwmxGt6ksTplOv7hKAQUwofvuRNxarxAcX5_Duw9zLOIIdiYOgfLL__M5LX0y5nmIX0E_ul-T_MvBiwNdyZ-QhaQS-Upd2qUsiahzm_rpySGHMgWQyYsIUiJSXSWHAtMXzPZN4TA5EWinYro5VHtzeLOMOj_wUEegW3UKqHn-Fzf3YsrOrhjsddoRZtudTVTF3k-ayApWuMm116AleL8RrHSYOg==\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Considering memory storage**\\n\\nI should definitely consider storing memory since that seems to be the user's request. I'll likely need to use a specific skill for memory-writing. I have to check the instructions for that skill to ensure I'm doing it correctly. Since it looks like there's no built-in memory tool, I might have to use an external API for this. I'll go ahead and load the memory-write skill to get started!\"}]}"},{"type":"toolCall","id":"call_2bEL5INnZonAvTHVF9amAcmK|fc_077a35cb5d0923b70169e8d4a6057881958dfea4310bf43b48","name":"read","arguments":{"path":"/home/sebas/.agents/skills/memory-write/SKILL.md","offset":1,"limit":260}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4-mini","usage":{"input":371,"output":311,"cacheRead":29696,"cacheWrite":0,"totalTokens":30378,"cost":{"input":0.00027825,"output":0.0013995000000000001,"cacheRead":0.0022272,"cacheWrite":0,"total":0.00390495}},"stopReason":"toolUse","timestamp":1776866462818,"responseId":"resp_077a35cb5d0923b70169e8d49f450c81959d40d50e028075c2"}} {"type":"message","id":"5337a30b","parentId":"70d55f52","timestamp":"2026-04-22T14:01:10.294Z","message":{"role":"toolResult","toolCallId":"call_2bEL5INnZonAvTHVF9amAcmK|fc_077a35cb5d0923b70169e8d4a6057881958dfea4310bf43b48","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=&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 --scope --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":1776866470289}} {"type":"message","id":"3e6447d8","parentId":"5337a30b","timestamp":"2026-04-22T14:01:13.732Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_077a35cb5d0923b70169e8d4a78d508195961e2125455b52b5\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp6NSobB7T4UZ-X9vCDuzop8Q6OXPdZOK-dL3JcfRQxxJIoRkHXL3RyBC86bVvqRpGVg7_4L-cL6ZZzH4AFQupF8gxTg00Vy_nreUSkApmF5Zu6OhzH6SwoWGiRYuu-MS1vygnrSleVOrGGzXIBTDkfqibEIticSwpjsksGaIp25rMokLgi8X0svnN9KtRc3YLK9i-ZiQ440fA29kEV6b2i_NSaPLHLGxiQ0S0PWZcL_YpZDhUhJ0O02kbUGtbsXi0oVhY-_Ej8kw3MEcEbJpJGgVZlPLA47L17nnJaz39nyta7ZfAq65UcJwrzptGvxU8mqxe-qhtIPvFH4xRC9vCFr0ADJ3yuu1Q7ObBn32ex3kiRGZThsPo1g935OadOK75wF0VxUd_PC-Ofup5RJLFyBCURfV7IcssanFNkMTRodui6XRRDKNzQntkIDJpOEmXUwz5oLcXYPjzcE32ql1F1lVp0gEStiJaTCYa0bpJXj8Cjo4vVdd8JsKdgwsF-few28WPzBzV8t2dFc3qTN14CvPL1OOTvyt2PeKFmc9Q-fyro_B_l0jJTk1ThWNU_mYnxoOrioItjIADzPPXDL6S41UuF16YhYcW9m87bVP7kVwAF9BZFJtUuEJuM7LFASvEObtxbXKGPijTs-Y7O1p2fJkjK0afj4E2kGJCIQSL0qFtV0QOE4Jn9hyttBrgF-EgodZ9LopaOx5QaCCVE45si0y03BGpXBAdUJ8dP00M5Mtp1ay59pMg96JaEzGVU78n57OrTJ0PyhJ_RmTHLu6iJN3IjBkiMbKWZhLuLs4Aaio0FvhfBXAir6Tg05TLbC5nzYb-uEWIMhuklxtZERMwgmak5yrkyn921LdsIRx5aaahCfdP5exKAEe-IWJ6GH5qsD3i9k0PfOM9JKSnirHOJDL3gzhJLseoyJiDupBgoN659Zi0VZmSz0V9gKBaRfpD4a7JxJarBshsAuKb3B18VinpmGVROALkGe_pyaiQxUQX_f9n2zuLwbhq881-zqWxV_nxOa9dkZQWcMZwcJK5zKieIWEMl9jgBNTSYnGaiNdiIfmF9hwin0pRXyyKP_Bumtff5XPGSlHZEvjmZ1F5li615US6FMuoE10HIooMsuseNba0UdTP5AzYWUw19nyjxfqLmLjTNcwo_KbTDetAmPH8nR29y5_lVt7Ey70LyX7vHFxRfho9u1y3uoNUPN9ZEa7fcM7HVDBSuU8OjpQ1NCPAgPkH2a7ZMsjPjLYryhf9A100Ck4tog7rZ52wUMi8gwJnIvS2MiuGJ_p-Jn-MnLPGTIeCQ_7ymBkkVs3JUicPMZknN6XF-0ShVjoDo3uK8N_UoN8uLFsgtluJq0L3fn_cPqHHT2bqayh8XqAJZCVSj6GTz6WXCmcvrREkZKl61vkRo9tcmsdKGE9fz5fOhopM1-KTNNSilJM0DWmUccyaWyK6-BOh1L0yDUIsPs9YtrCbidWTaTS9hK7OeORfUsZyu0ccD_exocQ5Kexivy7ptFZQmRwnXgC2ambg5ACxbVNh7IhkXdV0wX8Vg139u0bl-BwnZ5b-uNrMPAQVOnNsPXGPoMUf_5HjT6Tnq5gqRDTi5oxO9pu8cg7bTb4ubVdLZksPTag1FlemOOgdKbpdtfn1efmlXo9sWLjmHJWceMlf1fhpVzspjayJa6_puL-oz9qQSwHiuYacnyZoAy9oiI0SOobN1gZ7esU05Lxkh5Z78ReAlp1UninmD9lr2jqgc6hJ4TjzIlGlbuqjgMbxpPg=\",\"summary\":[]}"},{"type":"toolCall","id":"call_Ths86KO9oebrMUgwRElvCXmq|fc_077a35cb5d0923b70169e8d4a8dc688195b5c0ff1b82e03059","name":"bash","arguments":{"command":"~/.agents/skills/memory-write/memory-write --type profile --scope global --title \"Prefers English for LLM-facing context\" --content \"Sebas wants AGENTS and other LLM-facing context/docs in English to improve token efficiency and performance. Keep repo instructions and relevant prompts in English when practical.\" --source-ref \"conversation:2026-04-22 / commit:21a1fbf\" --origin-agent \"personal-agent\"","timeout":60}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4-mini","usage":{"input":782,"output":241,"cacheRead":30208,"cacheWrite":0,"totalTokens":31231,"cost":{"input":0.0005865,"output":0.0010845,"cacheRead":0.0022656,"cacheWrite":0,"total":0.0039366}},"stopReason":"toolUse","timestamp":1776866470295,"responseId":"resp_077a35cb5d0923b70169e8d4a718f08195b8039ebe1010f2cf"}} {"type":"message","id":"7ff50938","parentId":"3e6447d8","timestamp":"2026-04-22T14:01:13.935Z","message":{"role":"toolResult","toolCallId":"call_Ths86KO9oebrMUgwRElvCXmq|fc_077a35cb5d0923b70169e8d4a8dc688195b5c0ff1b82e03059","toolName":"bash","content":[{"type":"text","text":"{\"id\": \"mem_83508f31b14b490493606a5f9e2223b3\", \"schema_version\": \"shared-agent-memory-v2\", \"type\": \"profile\", \"subtype\": null, \"scope\": \"global\", \"status\": \"active\", \"project_id\": null, \"repo_id\": null, \"agent_id\": null, \"origin_agent\": \"personal-agent\", \"run_id\": null, \"task_id\": null, \"url\": null, \"domain\": null, \"source_kind\": \"manual\", \"title\": \"Prefers English for LLM-facing context\", \"content\": \"Sebas wants AGENTS and other LLM-facing context/docs in English to improve token efficiency and performance. Keep repo instructions and relevant prompts in English when practical.\", \"summary\": \"Sebas wants AGENTS and other LLM-facing context/docs in English to improve token efficiency and performance. Keep repo instructions and relevant prompts in English when practical.\", \"confidence\": 1.0, \"freshness\": 1.0, \"created_at\": \"2026-04-22T14:01:13.831140+00:00\", \"updated_at\": \"2026-04-22T14:01:13.831140+00:00\", \"observed_at\": \"2026-04-22T14:01:13.831140+00:00\", \"source_ref\": \"conversation:2026-04-22 / commit:21a1fbf\", \"evidence_ref\": null, \"metadata\": {}, \"embedding\": null}\n"}],"isError":false,"timestamp":1776866473935}} {"type":"message","id":"0ed1228f","parentId":"7ff50938","timestamp":"2026-04-22T14:01:20.892Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Clarifying memory and next steps**\n\nI should consider mentioning that I saved the memory, but it might not be necessary for the answer. I need to keep my response direct and in Spanish. It might help to mention the commit hash and clarify that current changes are unrelated and untouched. If the user wants a broader look beyond just AGENTS, they’ll need to specify docs, prompts, or code. I'll aim to communicate clearly and keep the noise low.","thinkingSignature":"{\"id\":\"rs_077a35cb5d0923b70169e8d4ab594c8195bab457b40432dcb8\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp6NSuUKkY1gWRMhiCuz0ZwKkfa6t8HkPXtGaZUg0hXQW_HwbtBxqY1YKUeDT9lWkUIT6a2gxzeiPy0yENVoDA-oVJMDZ02PpXg-k97M5JFsJQZ-cbuKauDHV-1byWvsCJNgz7xNqI0AJN0erS3_EDb6DSvCNC24LyHNGXhaEjN6xeXv8NWgNoWiE6mA0XyDjOdHQIPBHsQ61QIMlQDocMWoR4HmF5zbetIBlJV2Zx-uuJ0EjRyNZcH-7oWKdeRsimBWKBNL_UhjdmZ7vUk71V565TryNBx2Yeo30kkcYhlsyMEN-nuMiSiqXPu2FS1h8kywWOXAXZxVsI_n9Bh_tjA7jrUSrt_u4ADR1-h-Ewjxx3XgdWIztMn8_M3j6DAjt57-6NF-opGltKJiYUezpGjBGBUz5K_L82VeUeZX5CFprtM9bdyLOMDB66VROyH7eQW1AyHJsrEWXAsm0hKLuP_41bIyqG8dUDFWbcndMMmMyfleGNDghpj_VuCI4RvTGR8fdb3r41cSYYYVOjNYMnq2z9_7g1HyZd5NIBhQcBF1g9tTQcG_7R_USt8X4MZQAsMilqENLm4Qoxz3fz2zvvtJ3TRNsPeVRAxmcp9Bfrn3sX5UDF2542tmWP5wudebQTITYotGP0g8BabfjsXo9pWv-QS58z-eXET73pVK_7aPQ7MxEQFsgBoOLuyDgZPdjO6n30EJImsxfs7_dZHBkIrD9Ox108sUEakdsc2C_64QVOm0a_8VD7YpkIEkdeReIpaDTGZeog-L3Q4IdduDxyx8Oc_5z6qbtCQYFZwlKZVzgO7Pt2pvNLoyVcOdFkntcu09G7AfnFh8nWOgFYSvFSOWOk4wJWlEIbCxfFCfqx1qpdECKaP0p9bLLQgJy7x-LZCxpSrmyCE2iDpnIzCGSoKrmXcpWz9yPat98izSV7r3d-DJNk4pYDue1EWxNZqf6bPckou-tB8JSi8rGFuvMSHt2z19SRlWJXbuG8uULWh4wNvEdXDzhtzajwi1pw4Q4Yljfdm78yiBzEIwdqy6qHvmfaBAC1xRZIoi1fTz5I9gqfCkfYmgYHp8L89XFs5KLqgyMKO9Z_GrdrMUXj78kx271tFrQbl7WMksnBvJfYwMECmzAy9pt_-B6gMVMOiiR2f64SI4NWF5x8zb23mzsJWlOBhuTpRJhZYjg5deuS8hyMoT6j5JCRmoTSd5pvVxCRfavR-FBImLo6C7O-f00t69A-9QewPObPHPYd6Mm4RQi-B75V1Ukeb9sR4PbsgrFwutFpooZ15trZj8IYhAi6Xx9TQbaqN4wxmcNBicETlJMNSRDOsXn7LdZsgiAiup8MXfHK234o4Jf0nimmVvzNVDZcSAsxZBC4cauokTEN1JVuGXHef3Qfsq6Q2uskk5zg1qchr7ACj3C1cv6IL208iiQd5ZX_PAO_NiJpfpg8Y9-lJNqU7AxmYt0ABQWx25t1Qwk8PYFDwtWzeMZSiEF9KIwKQTjwkZ8uukX2xhLD7a_QrzobAepIQPjSEx9Tnkm-L1y64iEpvkhNLFdCc1ZukQdqgA==\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Clarifying memory and next steps**\\n\\nI should consider mentioning that I saved the memory, but it might not be necessary for the answer. I need to keep my response direct and in Spanish. It might help to mention the commit hash and clarify that current changes are unrelated and untouched. If the user wants a broader look beyond just AGENTS, they’ll need to specify docs, prompts, or code. I'll aim to communicate clearly and keep the noise low.\"}]}"},{"type":"text","text":"Hecho.\n\n- Commit: `21a1fbf` — `docs: translate AGENTS to English`\n- Dejé `AGENTS.md` en inglés.\n- Guardé la preferencia: contexto LLM en inglés para eficiencia.\n\nQuedaron cambios sin commitear en:\n- `README.md`\n- `extensions/session-memory-dispatcher.ts`\n- `scripts/session-memory-analyzer.py`\n- `scripts/session-memory-dispatcher.py`\n- `settings.json`\n- `scripts/__pycache__/*`\n\nDecime el alcance y sigo:\n1. solo docs y prompts visibles\n2. todo el repo\n3. solo lo que afecta al LLM/contexto operativo","textSignature":"{\"v\":1,\"id\":\"msg_077a35cb5d0923b70169e8d4aef1008195aadbe91d571f6157\",\"phase\":\"final_answer\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4-mini","usage":{"input":854,"output":238,"cacheRead":30720,"cacheWrite":0,"totalTokens":31812,"cost":{"input":0.0006405,"output":0.0010710000000000001,"cacheRead":0.002304,"cacheWrite":0,"total":0.0040155}},"stopReason":"stop","timestamp":1776866473936,"responseId":"resp_077a35cb5d0923b70169e8d4aaa75481958b17019b4907b532"}}