{ "job_id": "20260606T213404343763Z", "queued_at": "2026-06-06T21:34:04Z", "status": "completed", "job_type": "session_memory_analysis", "payload": { "session_id": "019e9ea8-e703-7379-a33b-bc25bcd8c12b", "session_file": "/home/sebas/pi-config/sessions/--home-sebas--/2026-06-06T20-38-49-859Z_019e9ea8-e703-7379-a33b-bc25bcd8c12b.jsonl", "cwd": "/home/sebas", "scope": "global", "reason": "periodic_sweep", "trigger": "periodic_sweeper", "branch": [ { "type": "message", "id": "26bfe690", "parentId": "f5d6603e", "timestamp": "2026-06-06T20:39:08.553Z", "message": { "role": "user", "content": [ { "type": "text", "text": "busca top packages que nos puedan servir\nhttps://pi.dev/packages" } ], "timestamp": 1780778348548 } }, { "type": "message", "id": "7d4c38a3", "parentId": "26bfe690", "timestamp": "2026-06-06T20:39:11.758Z", "message": { "role": "assistant", "content": [ { "type": "thinking", "thinking": "**Considering browsing options**\n\nI need to browse a website, possibly using bash or curl to check out the pi-extension-search. It seems like I'm also thinking about asking for clarification, especially around “nos” for pi packages in general. It's a bit unclear right now, so I wonder if I should load the skill first before digging deeper. Let’s see how this goes!", "thinkingSignature": "{\"id\":\"rs_0c6f659b219e2af0016a24856d8200819185a138cd2c58e580\",\"type\":\"reasoning\",\"content\":[],\"encrypted_content\":\"gAAAAABqJIVvvmHR8AZkLKELxAYc2t4sKVSEeZ1zeYxGSPOT39byHwnaC6ZYUNoI4OcWD2g9Kz2DAK0xlWTZJdbVyA5F8CDfQXsAgUaxfdpriAasLF4wn5fiVIauS_xfV_eA-Jt12rgO97zmbLYNs9uZTWYRy7S17wIFBYlXbVmbJPy0idHyf6rkeBd_jlmd_RYCITm-dGgvRjzFzZRuWm9y2gbAd7UKPGsES_Ilz_HAyPIwTKcHCkmJaY1uLinVU9hWVfxMjsXUXyOSqKvZHToY_0bO0jlzy47SK0Z0zuX-MQzPRb3DPaRhJkXlGN4zF_tQIQ-qRHRPX2NhTkQBVunXnl7YhEtvd_CV3x-U9m38suvtfRgZJcCRXhiEvfwSxg1zp-VmiKoawBb3zb8izZf9Q9Sv7DMwfAGKQZIL748U6p0W-AY5XepWEOxE1966jCPJRSMHDtPGfdeobOdu_iDZk-Xtk1lKgdf7dcb8HhGx-bLCeIUZ5LPze3InaX_gL8IDy9ZtBZzDbLoSgou1F3CvWNHWjYnL0FhiD2I9BkUcY-4lpJRe2grlxoKL5f6jQF92FxeS7qvky_lMz5pa86owigZnooubRsTik4k9FnSXUP7Vzb8SRKHSDo_zIXA_-2YpjSHHFGo9u1kcDBgrHV1MIBBVT0cV_GrMsW7hHC7X03R_N1inaJ6RCQPQ7cf84_zbkeEL9cwf1FbdaJs3F5dP7e6iPjWsT7Bv7ZWNB_s-6NGaZvh23kIGHcCgoPWwGtkUbCbXxx6HLHtfFel5DIw4fX8Fx8mNVGw3R9pOF1kPYfmaj5B_umCVjRZmeAhe7tfuILRWZwjv0-m-NPN2g12j4Mxlgqixn_RdlGPfjwl50ZmPXnY6zfABIUmYmTZeeen6SQ9KDWkTmJ_wQDT_sBpdoJzq-BLUcw1bu3vmf0lzPAxm8KTQNr434VsfSdM65tfyOhzVBm_TLqxPA1JNR58JgEGspzcod12hF1wAYkHbfftdaZmF5KJ72ZTo3Te_DgnGwD1LmYrK6bft2FsZPFyGihjnR5n7RQ4icmYLv4YHdkghbGKQZhM0h65y7sKhNxPlgbSYUUvCmGFbAt3bScLsBpmpMAe-49Rml5XEnTPQVvTV_JNeUUw=\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Considering browsing options**\\n\\nI need to browse a website, possibly using bash or curl to check out the pi-extension-search. It seems like I'm also thinking about asking for clarification, especially around “nos” for pi packages in general. It's a bit unclear right now, so I wonder if I should load the skill first before digging deeper. Let’s see how this goes!\"}]}" }, { "type": "toolCall", "id": "call_zTfh8aZcSpuEaBP7HZDPQny3|fc_0c6f659b219e2af0016a24856fa23481918a1182015b32d9bb", "name": "read", "arguments": { "path": "/home/sebas/.agents/skills/pi-extension-search/SKILL.md" } } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 297, "output": 69, "cacheRead": 5120, "cacheWrite": 0, "totalTokens": 5486, "cost": { "input": 0.0007425000000000001, "output": 0.0010350000000000001, "cacheRead": 0.0012799999999999999, "cacheWrite": 0, "total": 0.0030575000000000003 } }, "stopReason": "toolUse", "timestamp": 1780778348564, "responseId": "resp_0c6f659b219e2af0016a24856d001c8191b1e061411ab4b58e" } }, { "type": "message", "id": "9af7efc7", "parentId": "16a82f39", "timestamp": "2026-06-06T20:39:15.343Z", "message": { "role": "assistant", "content": [ { "type": "thinking", "thinking": "", "thinkingSignature": "{\"id\":\"rs_0c6f659b219e2af0016a2485704d4c8191888d7ff96b02790d\",\"type\":\"reasoning\",\"content\":[],\"encrypted_content\":\"gAAAAABqJIVzhbxpv22e3Y6bwwQlyvaKaEW3IjYghymYIICZ2nqfC7N5TnNpci5d173KWbrow6-J36U2WQDoDffl7BzER9G7jAsyWoIeNbMfqObHYIAt8r72xeWvrQV0VBrb1Bkh2whVWgbM82UOIyX8R0StvaDhgOXmLMaQAk8NcH-uctH5p2-qDARNH1S_cHTNSSSJB_yeajxZY3byXOw9Y90FANGpqaeYFvlCgzqR0b6UMJ3spkgtlQXZQliZZsqnSpwdlfj7pj8nGoTiy6CxcZ6_Mr2zw4jG-2OTkcRzQv2qHnWNsiSf4ODKspI8GUOe3oQn_-LFaQUXPzkJHbN5jsKN2IJIv0AJlNh6Mts3MP_d_yN76_VZW9_zN6XJqkQmVAOROAO1tD4dsa2JuOizPYdbBM7HqdFfAFVm2dGwsBSolmIPeaiy-cepn4W5CCgH6qS3hyTQvd3diyqKaAKpJ9kItximR5NcYYtU0ZTiODDyJnw3X80gaqAgYGzGLPCDD8jljt0fmBcq0lGi6S9qGIbBP0ZnziqMxMBVZseLUvWlgS4J9dBwzD25tFiCmtF24DrIEOw5MELSEhikkP7xm5V9xSuBKIo-TwKBSXxZh792wgtUuPS5jVSJ4h8ue0Idx4QQzrD06cVXvexM7qV4ZebbBRcb5qAW3GSRzTWyv6QKgRaZH24acBHyPMKGbZZp6vegGFx2dQgkuF2XaCoTZOpOOULaIn_dSP0Ey16Raa_ORs79CDK0h9lJgDsclax5D1j4N8KKKmUFN1F8Ta9accrNnpgD9yQ_WXbouYqOggXwpKu-1q8p56GaWTMU0abS0VfdOUfW8EfRThnKjEvZyo0d9vDXFYmVmmO5HmwGqxDL5MmtVkiWgc37oiUSLthXmPco59GvYFvYLDu5m06twMlHGdKZpSfwYb5-iczVf83iKehmAktl3_ewD9BP2Efyw77wi7PQIebkzlkzZZJ_511VVpXrDc-NFH1ldTjJZM8dF6dApGGfCOySxL5EOPbUFJv0EDXT\",\"summary\":[]}" }, { "type": "toolCall", "id": "call_GxTzaY3srgYMA6rh7FraQdgr|fc_0c6f659b219e2af0016a24857347f481918f8bbaced60b544f", "name": "bash", "arguments": { "command": "python - <<'PY'\nimport requests\nfrom bs4 import BeautifulSoup\nurl='https://pi.dev/packages'\nhtml=requests.get(url,timeout=20).text\nprint(html[:2000])\nPY", "timeout": 30 } }, { "type": "toolCall", "id": "call_TQic4MfUiPavxdzrbLf3qzqc|fc_0c6f659b219e2af0016a24857348048191b29fa94dbab529a6", "name": "bash", "arguments": { "command": "npm search --long --searchlimit=30 keywords:pi-package", "timeout": 30 } }, { "type": "toolCall", "id": "call_ViQYkn0SHqr88AIuDFxtsvNa|fc_0c6f659b219e2af0016a24857348088191b5921fbe2baa89b5", "name": "bash", "arguments": { "command": "npm search --long --searchlimit=30 pi-coding-agent", "timeout": 30 } } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 725, "output": 166, "cacheRead": 5120, "cacheWrite": 0, "totalTokens": 6011, "cost": { "input": 0.0018125, "output": 0.00249, "cacheRead": 0.0012799999999999999, "cacheWrite": 0, "total": 0.0055825 } }, "stopReason": "toolUse", "timestamp": 1780778351764, "responseId": "resp_0c6f659b219e2af0016a24856fdb5481919da073a951e5a125" } }, { "type": "message", "id": "d5443de5", "parentId": "3767c4ba", "timestamp": "2026-06-06T20:39:20.252Z", "message": { "role": "assistant", "content": [ { "type": "thinking", "thinking": "**Parsing package list**\n\nI might need to parse a website's package list, possibly using JSON data. I could start by searching the HTML for package names. Grep could be helpful for this task, allowing me to filter out relevant information efficiently. It seems like a straightforward process, but of course, I want to ensure I'm getting everything I need. I'll be careful to follow through and clean up the data properly!", "thinkingSignature": "{\"id\":\"rs_0c6f659b219e2af0016a24857555d0819183d395f355d7a942\",\"type\":\"reasoning\",\"content\":[],\"encrypted_content\":\"gAAAAABqJIV3-c4mJlcO2vCMBVP-9TGeND3DoFAj9NrI5qLryvztioi1GZn6fe1xQ5pQEnR3ZGFCZ3dbdGduP7gv7NDT-VRu08U2D94oAMz-4u-vFCRKgooS0jo8wO1Nf_5liu7TJPAcTtfszYoqKwwmFeQJk6cWjNO1aGgNN8ez8lXHCuxI09NVuXMW4pj75iTpz_6llllI6fQnEMnbszsOIMkC3DUcONmp2A-ljUXv-A5wVYv9IVKWo53QlC07P-F4bEf9W26DLyog2umvO-wMd1Cv6ck53DK1Ly5uEnz34ggi_Oy9utKrRU3_q4kuM6_zbBuR8BbqQU-mRd1z2nhJcXc3tGNplOVHG3LlWI1mHrr_-STwf8tIlDiHoRLbNbqmXidRB4xmxVbsfADkocdbUtN0Vkc0bBlfyAobw-lJdUw4eWAFm19ZCPa3aQYKZudveYd-gBdATh_EzSaq1novp6Snxjp-FxbvziCZSfjq7E5vlW22QTzJjTot2lGyRKItDqEl_mW8vdgv_coBT9I33-kj9bqp-NjVA06d8estCO3CV9_zc9VJRfNhFaQL0XZk_gwLFXOQbu7H4X5cmfypIUgZzTAgOMWn_rUfugGCLZSq6jU4tmllVX3iK8P58F7De5h6jiOdMrwyrIjBdG3lFBjDXoeyoPXp-n8jy2v4lSyjLfTXh2QHD8kNekmd1eshNFvhM_HIoibMR-hYzjt1dIMoLOeDoL7A5HSXU_diouX0bTLG9iYKsNFgrgiK1OplXpOBWphGOA30mjx0n1Pa7-WV2rqmOVn70mHd2PUfPDTHtJnhJJ6j2zU_oDFGodap0AtL44sQk8lQ928bdRH1unEYDgFDwIbBHQBB8fT5RJ3LnDoQrCSaTQhTc6aooF17T4RN4Io09HrdKn8hWvyr9Q79PY1P0UdoUTmkBP1H-uqa0rdzrHS31sP5hdiRjjQELpOJKNU4N84g1Miut3uB2x2WStCy5tRtskB2B0RtiNqv5D5vjfBfJOo8MhZMCT0BnmZRm1PgQNCBKF5uHyPamCW_vKl9dd5Gn06AWWTYhfcUxRhGD7I=\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Parsing package list**\\n\\nI might need to parse a website's package list, possibly using JSON data. I could start by searching the HTML for package names. Grep could be helpful for this task, allowing me to filter out relevant information efficiently. It seems like a straightforward process, but of course, I want to ensure I'm getting everything I need. I'll be careful to follow through and clean up the data properly!\"}]}" }, { "type": "toolCall", "id": "call_PMsx4TKCbUx6NnnrDGs0uoyh|fc_0c6f659b219e2af0016a24857755ac8191878697484d605bb4", "name": "bash", "arguments": { "command": "python - <<'PY'\nimport requests,re,json\nhtml=requests.get('https://pi.dev/packages',timeout=20).text\nfor pat in ['__NEXT_DATA__','window.__','packages']:\n if pat in html: print('found',pat)\nprint('len',len(html))\n# print lines with pi-package names maybe from page source\nfor m in re.finditer(r'https://npm\\.im/[^\"\\']+', html):\n print(m.group(0))\nPY", "timeout": 30 } } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 5696, "output": 159, "cacheRead": 5632, "cacheWrite": 0, "totalTokens": 11487, "cost": { "input": 0.014240000000000001, "output": 0.002385, "cacheRead": 0.001408, "cacheWrite": 0, "total": 0.018033 } }, "stopReason": "toolUse", "timestamp": 1780778356820, "responseId": "resp_0c6f659b219e2af0016a248574ebf081918d5cb7ef53ac5c94" } }, { "type": "message", "id": "fa1c8def", "parentId": "9c436f7b", "timestamp": "2026-06-06T20:39:24.360Z", "message": { "role": "assistant", "content": [ { "type": "thinking", "thinking": "**Examining data extraction**\n\nI'm thinking about extracting some data, possibly through a JSON script. It seems like a good idea to inspect the package list first to understand what I'm working with. That way, I can figure out the necessary components and how to proceed effectively. I wonder if this involves specific functions or additional steps I should be aware of to make the process smoother. Let's explore this together!", "thinkingSignature": "{\"id\":\"rs_0c6f659b219e2af0016a2485799dd88191a9694d746e5de89b\",\"type\":\"reasoning\",\"content\":[],\"encrypted_content\":\"gAAAAABqJIV7SrO1lKFJEgFBE5G_JvMxspPQ8aANuAzZXY5j5JoP_5TZMEf-PDx4Q7y2muBC2_03ZvJ3fNOBS5eyffAgP6bEPSLsWSayPjttaKUnVEkCpkA-QTX_hPhoOQJVNz4_AIpUAZZhp9KcNNqTpjUujfVVaEcJDaiTQyTKejLWCTqpSG68aNCGuA8O6rFy3GQCaI6CIVjwkM5lxAx9ptPNeyBBzQpn9oOypb5vuGa-s6t7F_Y8tGtUTGSEQA3YN5zcOjJHqJ07uVWHbMf0eTiiXfoHxNt2xYLv_G9ku_XHOPjqsDxFMlDpKspgqakdd_TYXFA7mQZOrd32GbHWh_HfqNTPC3qb_3dHUOb7-PKDAHrri8j4NzMaSE_cprK8JXeK6TNntNmKppgBJw_sCC8LtSuyDgqEfYtVVR0YpmGiFj0FXRPYgSf3DN7rwnHh5R4VDMHtXl4oKCxwPGDjVfKjBJSMs9MnXQE0W1ni_Vgdx0P4FKa4rQDhIwMyTP-nK2EPVivr2MJnYlvOObWweC--GL0baVYD1l1tmjO48c8VEnaxUBttsKsoywJOFjrxGc5VH-ZHEHzsGY3pUkZq6UzB6nkGUw4Y1kKfnx6sLE3YQAYKyAIQBJJT_-phPfHjY0U3JaGjgbce5myDqB5RdKFftEZXx19fRh73kIZK7Do0JiDHgN-XjZcLWKm_-VtYthBXajStwFsLhzU7acZV0aLJ511In7W3YYcLj0itmV0WCzVJgA5CDMbKWbdtHC5EYm2PDCyLVMtwAjwMKrYgbl-c0ddo-rMlfJp8I7qNj9bxm4CEHBAlxIZwuyW2-_D2gJwYG4v_cLHU78mSMSOqVI62v6bEAA4RLiqXevIdQ2KbwkN_7maeXxP7YBWGVD-Y0IT_rX-QrLiwoCLXhHbyEzAgLIhM_P_2DthJc0nj6L8XuFd5gtvJPvBOQX54oxFRU1jDCIA8LaypFw8SLmc_UwLDvNTSL5-5VkO7vRKiAJ7mQGFKbN9gTNH0P6ZpMhfDoK0Xu6kS\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Examining data extraction**\\n\\nI'm thinking about extracting some data, possibly through a JSON script. It seems like a good idea to inspect the package list first to understand what I'm working with. That way, I can figure out the necessary components and how to proceed effectively. I wonder if this involves specific functions or additional steps I should be aware of to make the process smoother. Let's explore this together!\"}]}" }, { "type": "toolCall", "id": "call_dHSbrBoTxa6LDI3AoBSZBBNM|fc_0c6f659b219e2af0016a24857b6f0c81919583b4dcbcca077e", "name": "bash", "arguments": { "command": "python - <<'PY'\nimport requests,re\nhtml=requests.get('https://pi.dev/packages',timeout=20).text\n# find first package card snippet containing npm.im\nfor url in re.findall(r'https://npm\\.im/[^\"\\']+', html)[:10]:\n print(url)\n# maybe data in JSON state near 'context-mode'\nidx=html.find('context-mode')\nprint('idx',idx)\nprint(html[idx-500:idx+1500])\nPY", "timeout": 30 } } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 758, "output": 150, "cacheRead": 10752, "cacheWrite": 0, "totalTokens": 11660, "cost": { "input": 0.0018950000000000002, "output": 0.0022500000000000003, "cacheRead": 0.002688, "cacheWrite": 0, "total": 0.0068330000000000005 } }, "stopReason": "toolUse", "timestamp": 1780778361132, "responseId": "resp_0c6f659b219e2af0016a24857933a48191ae4832508d0a6fa4" } }, { "type": "message", "id": "caa22f04", "parentId": "2f4cd866", "timestamp": "2026-06-06T20:39:29.834Z", "message": { "role": "assistant", "content": [ { "type": "thinking", "thinking": "**Extracting top names in Spanish**\n\nI think I need a concise answer in Spanish. It makes sense to focus on the top 15 names based on downloads. I’ll aim to extract those top names since that will give a clear view of what’s popular. I wonder if there’s a specific source I should use for the download statistics? Anyway, I’ll go ahead and get the data I need to produce this list in Spanish!", "thinkingSignature": "{\"id\":\"rs_0c6f659b219e2af0016a24857db7e481918388a4efdcb6fff0\",\"type\":\"reasoning\",\"content\":[],\"encrypted_content\":\"gAAAAABqJIV_ufWyQHCN1Tev70FkIoRjq0guF_t1ZTIbz6u5fl5I2BiU0aMZNwDx9uD4eSN6EakkQrvl4kFoCM_uRm93C4CQXHoGDY6JQjtPEo98_nVpBwVuzfEX1O2HnhRo-IBhMRbGI0DHCzVm3DAag9KsrIYppJJka03SwpvACqg5ftYrWG90_l8hFlMzOPXVJmxUBrwLgrjWJqVfMbrVDwJxylwYbj3N3bgKJAQjw_t5ObyiKNnt4smBbuKRpbfOefi-qEBmx2YvzHa4KpY3eMuJS5rA2kOe2lou3V0D_iQRA5LZdZYdlCQwP_wtY6qGz1bcHwSYn61l4QKaCwbxkc4Kr88tphKO574_YpPlULZs_D3dpGqCKttdYo5NSFOpIRYd6tdQGNhh9SkLANqPMGEmjrvCTiV7q5m8pbdkYB_ZIPOOVE22E3Sr2c-u1Eat-g_tMhwkqHo5vE9wjtnj69ySh8fzwKAtpPPKynMbsiu_d00vFDprlKHj0qznQrkH3-H-ovtMoJnOgD1_pLAwGn8a4xr3gO8dvWXJR1ssgw0zuzyxWjyHAgq_0FT_Iyh5-D_TFPqJPEaxjoVzWS5rUZmXVDoNUOIEISCNkjs5JKjjmSVUHP7Qo7vVsg4Sh9F2JRicP5LqH6HuaVutmcXtkJTLS1MDXl_9ZNgwBWCQENiwEC0CnA6BHd96KqNJkt9MZY47uTC92nqgEU0QlW_YhsU_pfvT0fU4FJiYH8jeTKYV3xlUICX5L8XQYo1hDa84bltErCW9Eg1_uLUzf3yhiGm_FypdJ0ek0mOz6-yAspkaBrkqAHLNTePjaoxQmNz5Jv2oTPZTiaE975jiRa9MACwGIlQjnSV7FXZw9sFTswABcVCdk9aAPfnjuNn52tyLEv7BuX6OS5HRqQGLR381j8oquPiQ8WEqJy0w7TYGCTNGdMzF_WxrcNQmyshCsNcFp3G_T-792C_jVXQ3h394WtZJf00ojhVl1623fmS6UNvkee-aN9lgKTNNez6fIQHuVVIHOySw-qrLougnGgQwJCjM-xjdQ9UST-Y6bmVhMVN5chSY48Qv67sPIDL5sHG2Cmx8DChm\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Extracting top names in Spanish**\\n\\nI think I need a concise answer in Spanish. It makes sense to focus on the top 15 names based on downloads. I’ll aim to extract those top names since that will give a clear view of what’s popular. I wonder if there’s a specific source I should use for the download statistics? Anyway, I’ll go ahead and get the data I need to produce this list in Spanish!\"}]}" }, { "type": "toolCall", "id": "call_jitvhp1g1BnyimF6ZQPuuiUW|fc_0c6f659b219e2af0016a24857fa9cc8191a728466dcd3dd1fa", "name": "bash", "arguments": { "command": "python - <<'PY'\nimport requests\nfrom bs4 import BeautifulSoup\nhtml=requests.get('https://pi.dev/packages',timeout=20).text\nsoup=BeautifulSoup(html,'html.parser')\narts=soup.select('article[data-package-card=\"true\"]')\nfor a in arts[:20]:\n name=a.get('data-package-name')\n desc=a.select_one('.packages-desc').get_text(' ',strip=True)\n meta=[x.get_text(' ',strip=True) for x in a.select('.packages-meta span')]\n print(f'{name}\\t{meta[0] if meta else \"\"}\\t{meta[1] if len(meta)>1 else \"\"}\\t{meta[2] if len(meta)>2 else \"\"}\\t{desc}')\nPY", "timeout": 30 } } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 901, "output": 226, "cacheRead": 11264, "cacheWrite": 0, "totalTokens": 12391, "cost": { "input": 0.0022525, "output": 0.0033900000000000002, "cacheRead": 0.002816, "cacheWrite": 0, "total": 0.0084585 } }, "stopReason": "toolUse", "timestamp": 1780778365255, "responseId": "resp_0c6f659b219e2af0016a24857d52e881918135179823a44335" } }, { "type": "message", "id": "2a93691e", "parentId": "eb54442f", "timestamp": "2026-06-06T20:39:41.107Z", "message": { "role": "assistant", "content": [ { "type": "thinking", "thinking": "**Considering useful tools**\n\nI need to tailor the recommendation for \"que nos puedan servir\" to fit our setup. This could include mentioning subagents, web tools, to-do lists, questionnaires, advisors, lenses, and permissions. I should highlight that we already have some equivalents with native tools, which might make these suggestions even more useful. It's important to keep my recommendations concise to ensure clarity for whoever is accessing this information.", "thinkingSignature": "{\"id\":\"rs_0c6f659b219e2af0016a248583ac508191ab3390ed447ee39e\",\"type\":\"reasoning\",\"content\":[],\"encrypted_content\":\"gAAAAABqJIWFlLgdL8A7vXVRpcfgEQ-Uqj9M985EWttp5ywoXLj3ABxSnEnILsq5nH1jb428c8WJEaWnhHPq6vJpCQvWD3B8yUEq1Oywz-e3WKj7uUhPcD9Cw6O3rwLs4cwuu8NZTBNUoV28s88GQr_q9GgfIEENi4xvfK7nr3Q9_X43brn4-0ICv2sYQURO7T3Ys8NDv0qD95394g5mWqf0FARHWKNdkxYx2MiyRkYQcMcGukopEJmVzvVi-hayZDl660BKX3QrIJ2UEA06N7ZI280xaPtN4eijZ7PJ85GuMNWgpajUFp6qEPABNJJ3ZKeR4IxXcdEo0rJyyuMUgfdZ9aSbsJshZi32jYwQKdr6iKIUjJK1YcbslA0FR5pGSXEGhuE1x6EsrFO5OxE_VY5NRG3-mnluXtTJOzde7OZcP2zNZDnEthMhh-BxG8XXlWpgtWWDK2EvP_htG7ok1Ak_1EFLmZPSbPFCjRO7ahIsE_HwUebDFsI7IgedjhBtcsnlkMuHmJxp2PNrPhHmNbssL8lzv5icH96UqtPnETc1_l1dDdl3FHLWUIDKa8bMN-XCcG47UjXwUy5DNJIGPjNXTrc7kMvpuoYvbrx707x8oQ8Plnqd6zrX4uKcplCulpVM-7pFSL-13Gv-Q3T20OWzcj-RG_ASf-xYDfBQ4w6ZW7_Co5zWISraowzyzXJTokJaN7stOSHyaw1bz3kpObIcHqeMO5ZaOF3Kodr4-U6J8JCYQRWBv5wx9zdrga-ewXKiVcfcF1KqGU3CrOZVeNtAgSccoHAPT6GmsnL_M5mfPmPcFCvRtwHxsixs0O3rkw5gfNSbeV1G9dWQbUaPBCHOPMqmacheWb_h0LELiHbluDp3jtm0x1Rqu-TbnvTrsOVJk8L7qrpBC0h4ub49xwa7F-pdDx4aLGCQlNg3xDF2x3-HzV-srQXYfFT3F6KKn7dXVfKal9j-LaQ17KCEHLxgY1QnWt5Njq4R8n6wAmBCUp4NhQyJNPbIi-iB_H8xDitdn5paakM-fgm13LnWCcn3OQ7rGBoJpAZ8tk_jG0eXpwQ6fgWjmavu0eJoetTtgY7tvFZvKoTP0yPBXRQR3v9jmNpcXqdhYHP09fWJzoJnIqftEUe7pDchOoRGC4iuwfGSvJzlz-J9I5cqHB8dfwF2UTnpPFx2e_Vk5kAdbO74BvVYu7DTG2fN_2eqewsyzClbiPf1846z\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Considering useful tools**\\n\\nI need to tailor the recommendation for \\\"que nos puedan servir\\\" to fit our setup. This could include mentioning subagents, web tools, to-do lists, questionnaires, advisors, lenses, and permissions. I should highlight that we already have some equivalents with native tools, which might make these suggestions even more useful. It's important to keep my recommendations concise to ensure clarity for whoever is accessing this information.\"}]}" }, { "type": "text", "text": "Top de `https://pi.dev/packages` que sí nos pueden servir:\n\n1. `pi-subagents`\n - Subagentes, chains, paralelo.\n - Fit: delegación y recon aislado.\n\n2. `pi-web-access`\n - Search/fetch web, PDFs, YouTube, scraping.\n - Fit: research sin salir del flujo.\n\n3. `pi-mcp-adapter`\n - Adapter MCP.\n - Fit: conectar tools/servers MCP externos.\n\n4. `@juicesharp/rpiv-todo`\n - Todo persistente visible.\n - Fit: sesiones largas, handoff, compaction.\n\n5. `@juicesharp/rpiv-ask-user-question`\n - Cuestionarios estructurados.\n - Fit: cerrar scope rápido cuando falta definición.\n\n6. `pi-lens`\n - LSP, linters, type-check, feedback en tiempo real.\n - Fit: calidad local durante edición.\n\n7. `@juicesharp/rpiv-advisor`\n - Segunda opinión antes de actuar.\n - Fit: tareas con riesgo o decisiones finas.\n\n8. `@juicesharp/rpiv-web-tools`\n - Web tools con varios providers.\n - Fit: alternativa más flexible a `pi-web-access`.\n\n9. `@gotgenes/pi-permission-system`\n - Enforcement de permisos/policies.\n - Fit: guardrails si queremos endurecer ejecución.\n\n10. `pi-simplify`\n - Revisa cambios por claridad/mantenibilidad.\n - Fit: cleanup y review post-cambio.\n\nExtras buenos según caso:\n- `@vigolium/piolium`: auditorías de seguridad con subagentes.\n- `pi-powerline-footer`: UX/status bar.\n- `context-mode`: muy popular, pero más cross-agent/context que Pi puro.\n\nMi shortlist para probar primero:\n- `pi-subagents`\n- `pi-web-access`\n- `pi-mcp-adapter`\n- `rpiv-todo`\n- `rpiv-ask-user-question`\n- `pi-lens`\n\nSi querés, hago siguiente paso:\n- lista priorizada por impacto para Ballbox, o\n- te dejo comandos `pi install npm:...` para los 5 mejores.", "textSignature": "{\"v\":1,\"id\":\"msg_0c6f659b219e2af0016a248585fd9081919aaed6b888d57bd5\",\"phase\":\"final_answer\"}" } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 1509, "output": 522, "cacheRead": 11776, "cacheWrite": 0, "totalTokens": 13807, "cost": { "input": 0.0037725000000000002, "output": 0.00783, "cacheRead": 0.002944, "cacheWrite": 0, "total": 0.0145465 } }, "stopReason": "stop", "timestamp": 1780778370905, "responseId": "resp_0c6f659b219e2af0016a248582f84c819197a849b960c09b86" } }, { "type": "message", "id": "f10c80ab", "parentId": "2a93691e", "timestamp": "2026-06-06T20:42:57.830Z", "message": { "role": "user", "content": [ { "type": "text", "text": "compara 1,2,4,5,7,8 con soluciones propias" } ], "timestamp": 1780778577827 } }, { "type": "message", "id": "e1286300", "parentId": "f10c80ab", "timestamp": "2026-06-06T20:43:15.112Z", "message": { "role": "assistant", "content": [ { "type": "thinking", "thinking": "**Considering build vs buy options**\n\nI’m thinking about whether to build a solution or buy one. It seems like I might not need any special tools for this, as I already have gathered information. I could mention that our current built-ins include things like a to-do list, questionnaire, or subagent, which might mean we already have some solutions that could work. I’m wanting to keep my assessment direct and focused.", "thinkingSignature": "{\"id\":\"rs_0c6f659b219e2af0016a24865274a48191acef17327b549be5\",\"type\":\"reasoning\",\"content\":[],\"encrypted_content\":\"gAAAAABqJIZUEjhPu8fNLl2nPHlXTV5MOpR8fTQOZpKENq_GCKiAM4oWrnhlK3apj7bYGUQHgv3W6NJRjLqWBIE0qDBHDwqVkznDQ_ulR7GDO_OsTQ8kPdYXQ2kUQy9dDxyD0Xz-tZSXthKjz4001KHKKvtRIWR_-a14tUGheHxxPeJBh0gcfoke25ol5VpiQ8WSx1kLq6jrEmel66VFv3i3EBHp_chc2UNqJpwyhgkG-EhRDisMmDJBoja8U0sy7B7sJXC7FJyQqXtitjAYg5LCmijkBlQSGwN0MZ8dy8XDZukM4lyx-7GUV0N-btF3vM3kfgKlD261GyiHMddnapJT0faU5OvWrTZYsN-7ay9ZO2bRg-h3C9G6AUcKqXK1VgJxTDwQWvSY57hkSGRcnG9Kdd3xoewrJA31NYX_yQ0VgiLqt-uO_nJt23waY_lU_P1B5vZXenZdfP1Q76vA-qoDj7HuccsgL-7W4TKJPoANHJSaUhNegbEggsQ9hwMh505dIy_6p6EP9aCN9j_g7kq2tXFiUxZ_TkVSggZZjir7jnAFpwhJG7PI3fJki5Ab9k6-14wV344y5YEYn1tsvDP76ddzxPpDft0nVMGu4BjOgz0Z8w_JwzEOX1LFt3v_Fwz-Bllbyej8JXs6_ksiZZWx6eaFmB5t9ESNCFCHnvAc_anX45zjsTJN_XiVcwOKqhFc6BEFr-PP_qKX-IRtKVWkf3PbPEpk6XJT2P4Fk5GhRi900T-cOWs8q7rUMdE_XlS7LpiqWGKOLnTimvyQ_X6yEmzHBVUdEWBq9qVry7t3wsuxzfTmUaFn-xGw6liY5uGrk5EoWmUjhIYIMk1KWK4InMfnKvSNWQJELvth_6H3J6YrDDQu0TUX6yA2OeFvMkOEjnJVSDVTwFYptWLfrCnviQu-N-coN0wZnxMR1B_qLwLS7AGq-kjURnJ3WR0IzSvDQYHf1GSGD-ax9s132UnyRVST0kbUNcfhtw6yXrOgvb4LS1UOBqHHcKB316eJuBq6gMnFiDRFwPfWNZzXVgF1e-zu3lyUGZsvaTViGYal1GCsQMTAgt3vQTPl3xVEvJyyJQAWxAj5FQQMNM5Odbq6IdLZGyQR5vyFC1HvFGlJWBKGztitlvjj48LQayesWSP2kmMOzaPwIQ9lWNhPqgLe-0HZ0uuv5RmQDorYdQRIeV2fJ1vX4a0=\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Considering build vs buy options**\\n\\nI’m thinking about whether to build a solution or buy one. It seems like I might not need any special tools for this, as I already have gathered information. I could mention that our current built-ins include things like a to-do list, questionnaire, or subagent, which might mean we already have some solutions that could work. I’m wanting to keep my assessment direct and focused.\"}]}" }, { "type": "text", "text": "Comparo contra hacerlos propios.\n\n### 1. `pi-subagents`\n**Paquete**\n- Valor: rápido.\n- Da: delegación, chains, paralelo.\n- Riesgo: acoplar core del flujo a API ajena.\n\n**Propio**\n- Ya tenemos subagentes nativos en este entorno.\n- Hacer más encima de eso es control total.\n- Costo: bajo/medio si solo queremos wrappers y convenciones.\n\n**Veredicto**\n- **No lo compraría** salvo que traiga UX muy superior.\n- Para nosotros, **propio gana**.\n\n---\n\n### 2. `pi-web-access`\n**Paquete**\n- Valor: alto.\n- Da: search/fetch/PDF/YouTube/scraping ya armado.\n- Riesgo: dependencia externa, posibles keys/proveedores.\n\n**Propio**\n- Hacer fetch simple: fácil.\n- Hacer bien PDFs, YouTube, scraping robusto: costo medio/alto.\n- Mantenerlo limpio lleva tiempo.\n\n**Veredicto**\n- **Paquete gana** si queremos capacidad ya.\n- **Propio solo** si buscamos stack mínimo o control fuerte.\n\n---\n\n### 4. `@juicesharp/rpiv-todo`\n**Paquete**\n- Valor: persistencia visual, sobrevive reload/compaction.\n- Riesgo: overlap con nuestro sistema de `todo` y TASKS docs.\n\n**Propio**\n- Ya tenemos tool de `todo` + docs canónicos.\n- Agregar overlay/bridge propio sería relativamente simple si de verdad hace falta.\n- Mejor alineado con nuestro flujo.\n\n**Veredicto**\n- **No prioritario comprar**.\n- **Propio gana** porque ya tenemos 70–80%.\n\n---\n\n### 5. `@juicesharp/rpiv-ask-user-question`\n**Paquete**\n- Valor: UX de clarificación estructurada.\n- Riesgo: overlap fuerte.\n\n**Propio**\n- Ya tenemos `questionnaire` nativo.\n- Control total del formato y comportamiento.\n- Costo incremental casi cero.\n\n**Veredicto**\n- **No comprar**.\n- **Propio gana claro**.\n\n---\n\n### 7. `@juicesharp/rpiv-advisor`\n**Paquete**\n- Valor: segunda opinión on-demand.\n- Bueno para decisiones riesgosas o review.\n- Riesgo: costo por llamadas extra, posible fricción.\n\n**Propio**\n- Ya podemos hacer esto con subagentes/review agents.\n- Falta quizá empaquetarlo mejor como comando/patrón.\n- Costo de implementación: bajo.\n\n**Veredicto**\n- **Propio gana**.\n- Solo comprar si su UX está mucho más pulida y se usa seguido.\n\n---\n\n### 8. `@juicesharp/rpiv-web-tools`\n**Paquete**\n- Valor: search/fetch con muchos providers.\n- Más flexible que `pi-web-access`.\n- Riesgo: más complejidad, más config, más moving parts.\n\n**Propio**\n- Si queremos multi-provider serio, propio cuesta más.\n- Si alcanza con uno o dos flujos, propio simple puede bastar.\n\n**Veredicto**\n- Si queremos **web stack potente y configurable**, **paquete gana**.\n- Si queremos **mínimo y controlado**, propio.\n\n---\n\n## Resumen brutal\n\n**Propio gana**\n- `pi-subagents`\n- `rpiv-todo`\n- `rpiv-ask-user-question`\n- `rpiv-advisor`\n\n**Paquete gana**\n- `pi-web-access`\n- `rpiv-web-tools`\n\n## Recomendación real\nNo meter 6 cosas.\n\nHaría:\n1. **Mantener propio** en subagents, todo, questionnaire, advisor.\n2. **Evaluar uno solo** entre:\n - `pi-web-access` = simple, práctico\n - `rpiv-web-tools` = más flexible, más pesado\n\n## Regla de decisión\n- Querés **usar ya** → `pi-web-access`\n- Querés **plataforma de research configurable** → `rpiv-web-tools`\n\nSi querés, hago una **tabla costo/beneficio/riesgo** de esos 6 para decidir cuál instalar primero.", "textSignature": "{\"v\":1,\"id\":\"msg_0c6f659b219e2af0016a24865473cc8191bc110f0826c9f7a3\",\"phase\":\"final_answer\"}" } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 8524, "output": 922, "cacheRead": 5120, "cacheWrite": 0, "totalTokens": 14566, "cost": { "input": 0.021310000000000003, "output": 0.01383, "cacheRead": 0.0012799999999999999, "cacheWrite": 0, "total": 0.03642000000000001 } }, "stopReason": "stop", "timestamp": 1780778577834, "responseId": "resp_0c6f659b219e2af0016a248651ea288191bc7c8fbad4f50e08" } }, { "type": "message", "id": "011216b7", "parentId": "e1286300", "timestamp": "2026-06-06T20:55:28.861Z", "message": { "role": "user", "content": [ { "type": "text", "text": "ninguno me convence. y en cuanto a populares menos alineados pero que me puedan gustar?" } ], "timestamp": 1780779328860 } }, { "type": "message", "id": "7ae53e3e", "parentId": "011216b7", "timestamp": "2026-06-06T20:55:43.372Z", "message": { "role": "assistant", "content": [ { "type": "thinking", "thinking": "**Refining response clarity**\n\nI want to ensure my answer is clear and concise. I might consider using the package or page that presents the top popular items, but focus on those that are less aligned with the typical choices. This way, I think I could provide a fresh perspective, making the answer more engaging. My goal is to provide useful information while keeping everything straightforward for the user. Let's see how that works out!", "thinkingSignature": "{\"id\":\"rs_0c6f659b219e2af0016a24894206cc819180f271cbfeb2c5a3\",\"type\":\"reasoning\",\"content\":[],\"encrypted_content\":\"gAAAAABqJIlEpbjqZZ7l6MZ9O21V2SlUfyP27xgyZE31hsdBtIs4P-ty7gGQyIdny6YjnQAMzwc0_fByHnrYGqDFVs8R6aUb_CWmAz4531P1UU2Vl8VLUydyplpDPUir1ndE3EXNg8eGNsGMDnvPzCDcpUvJhWgxrE_OU2QcQ8xmvPZtq_iKcLo3rD2M2jOzwfd6F6prAEnOS4dAdzip7VnK6QVC2TX6yO7N5sEMKm6RrRu9329Zfx738HZmBoY3fuKhndgpHTOxj5Nyt9BujPbdc6Sck4Vh4J4mb9g-VOmT-OpL-0AuWlot3eIlNUxaP0Kx_tOCKKXwzXimq671eoxhLNblRhuhpznF8861uJuofoTHdg7NJxQRQnX7oUv_kp5MP5VBDpTh1IjfBYTbnDXBY_SEuC75a0SsbH1VCb-ghgR6U_pIiaUTuJSsbYZIhMOke0hi9dTbwJllVWFF_BE-0yDdzhvxnAmCieHatpfAWeZO2r9rTdusCGkbV41JOlK8Eg7ePlMNdiUf2iQBomUO-Iv6trJbvUdOI0QHysXdS6Ar4gOZVlp7DCWvyMu5sVvyRZ_2tR9FWYJIJfZEUuNdghPmItZMU-Ydhp9XIwBVNVYFg1a2jlz6WGGZrnb1AtFBgZPrVDShvIiRlQar2Ib_2mGfjgVYwjHyggO9JTRpcb0Pk-TSEEuOEAzBZ6npnmZDQ4MAO8eXbBJhxOiVIEsPkKSs50a8A1ib6VLP8kRnBhVJjdvHJ1BEuB5A2KKYFy3bljOrco1cDyyJBapGZ_SMtDMgB7em4Uu6pRY0LZhSGBPTDb8I25wpq-3evq_gRr6SVJ5KsV_-36iaoK9pKlQTCjucZQTGzPZL_q0TsnWHjDg7ldtoMxkKgYI8SWayWwCqhCC7NxxRpjc39JMe9ojhK1j2k6FZ4-qhSImk61nViZCkvYJmOIcyCtwRvYp1nyS7F1VNIojSkU8muHfGWtJjbat2KA4vfYZuTo3gSp_VS5EDLJ8yFG6EaMdVVqPzcTTKUl9bD9tK\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Refining response clarity**\\n\\nI want to ensure my answer is clear and concise. I might consider using the package or page that presents the top popular items, but focus on those that are less aligned with the typical choices. This way, I think I could provide a fresh perspective, making the answer more engaging. My goal is to provide useful information while keeping everything straightforward for the user. Let's see how that works out!\"}]}" }, { "type": "text", "text": "Sí. Viendo populares, los más **no tan alineados al core**, pero que **te podrían gustar** por criterio de control, visibilidad, rigor o UX:\n\n### 1. `context-mode`\n- Qué es: compresión/context store fuerte.\n- Por qué te puede gustar:\n - baja costo mental en sesiones largas\n - preserva contexto útil\n - va en línea con memoria durable y trabajo acumulativo\n- Duda:\n - puede solaparse con nuestro Agents Database + artifacts\n\n### 2. `@plannotator/pi-extension`\n- Qué es: review de planes, anotaciones, review de código/PR.\n- Por qué te puede gustar:\n - mete estructura antes de ejecutar\n - bueno para pensar decisiones, no solo codear\n - puede servir para revisar planes de agentes\n- Duda:\n - riesgo de burocracia si no aporta señal real\n\n### 3. `pi-lens`\n- Qué es: feedback en tiempo real, LSP, linters, type-check.\n- Por qué te puede gustar:\n - acorta loop de validación\n - más verdad local mientras editás\n - útil si querés que el agente vea calidad enseguida\n- Duda:\n - puede meter ruido si ya corrés validación externa sólida\n\n### 4. `pi-chrome`\n- Qué es: usar perfil real de Chrome ya logueado.\n- Por qué te puede gustar:\n - muy práctico para flujos reales web\n - evita mocks en tareas con auth/UI\n - fuerte para debugging y scraping con sesión real\n- Duda:\n - más superficie de riesgo\n - hay que usarlo con disciplina\n\n### 5. `@vigolium/piolium`\n- Qué es: auditorías de seguridad multi-fase con subagentes.\n- Por qué te puede gustar:\n - enfoque acotado, serio, con estado resumible\n - útil para pasadas de hardening\n - más “operación con criterio” que plugin juguete\n- Duda:\n - nicho; no para uso diario\n\n### 6. `pi-markdown-preview`\n- Qué es: preview de markdown/LaTeX/browser/PDF.\n- Por qué te puede gustar:\n - bueno si querés artefactos legibles rápido\n - útil para docs, reportes, entregables\n- Duda:\n - más comodidad que capacidad core\n\n### 7. `pi-langfuse` o `@posthog/pi`\n- Qué es: observabilidad/analytics/tracing.\n- Por qué te puede gustar:\n - si querés entender uso, costo, fallas, loops\n - bueno para hacer al agente más operable\n- Duda:\n - valor más infra que ejecución inmediata\n\n## Mi shortlist “Sebas-compatible”\nLos 4 que más te veo probando:\n\n- `context-mode`\n- `pi-lens`\n- `pi-chrome`\n- `@plannotator/pi-extension`\n\n## Orden por chance de gustarte\n1. `pi-lens`\n2. `context-mode`\n3. `pi-chrome`\n4. `@plannotator/pi-extension`\n\nSi querés, hago siguiente filtro:\n- **más útiles para Ballbox**\n- **más útiles para este Pi**\n- **más interesantes aunque no los instalemos**", "textSignature": "{\"v\":1,\"id\":\"msg_0c6f659b219e2af0016a24894488f48191a36498839639f10c\",\"phase\":\"final_answer\"}" } ], "api": "openai-codex-responses", "provider": "openai-codex", "model": "gpt-5.4", "usage": { "input": 1237, "output": 733, "cacheRead": 13312, "cacheWrite": 0, "totalTokens": 15282, "cost": { "input": 0.0030925, "output": 0.010995, "cacheRead": 0.003328, "cacheWrite": 0, "total": 0.0174155 } }, "stopReason": "stop", "timestamp": 1780779328862, "responseId": "resp_0c6f659b219e2af0016a24894167ec8191a1a98610e5237a75" } } ], "user_messages": 3, "assistant_messages": 8, "last_user_text": "ninguno me convence. y en cuanto a populares menos alineados pero que me puedan gustar?", "last_assistant_text": "Sí. Viendo populares, los más **no tan alineados al core**, pero que **te podrían gustar** por criterio de control, visibilidad, rigor o UX: ### 1. `context-mode` - Qué es: compresión/context store fuerte. - Por qué te puede gustar: - baja costo mental en sesiones largas - preserva contexto útil - va en línea con memoria durable y trabajo acumulativo - Duda: - puede solaparse con nuestro Agents Database + artifacts ### 2. `@plannotator/pi-extension` - Qué es: review de planes, anotaciones, review de código/PR. - Por qué te puede gustar: - mete estructura antes de ejecutar - bueno para pensar decisiones, no solo codear - puede servir para revisar planes de agentes - Duda: - riesgo de burocracia si no aporta señal real ### 3. `pi-lens` - Qué es: feedback en tiempo real, LSP, linters, type-check. - Por qué te puede gustar: - acorta loop de validación - más verdad local mientras editás - útil si querés que el agente vea calidad enseguida - Duda: - puede meter ruido si ya corrés validación externa sólida ### 4. `pi-chrome` - Qué es: usar perfil real de Chrome ya logueado. - Por qué te puede gustar: - muy práctico para flujos reales web - evita mocks en tareas con auth/UI - fuerte para debugging y scraping con sesión real - Duda: - más superficie de riesgo - hay que usarlo con disciplina ### 5. `@vigolium/piolium` - Qué es: auditorías de seguridad multi-fase con subagentes. - Por qué te puede gustar: - enfoque acotado, serio, con estado resumible - útil para pasadas de hardening - más “operación con criterio” que plugin juguete - Duda: - nicho; no para uso diario ### 6. `pi-markdown-preview` - Qué es: preview de markdown/LaTeX/browser/PDF. - Por qué te puede gustar: - bueno si querés artefactos legibles rápido - útil para docs, reportes, entregables - Duda: - más comodidad que capacidad core ### 7. `pi-langfuse` o `@posthog/pi` - Qué es: observabilidad/analytics/tracing. - Por qué te puede gustar: - si querés entender uso, costo, fallas, loops - bueno para hacer al agent…", "first_user_text": "busca top packages que nos puedan servir https://pi.dev/packages" }, "analysis": { "status": "completed", "save": true, "saved": true, "memory_id": "mem_8d3d0e8ab5c649f18656bf02e3ba3dc2", "memory_ids": [ "mem_8d3d0e8ab5c649f18656bf02e3ba3dc2" ], "saved_count": 1, "raw": "{\"memories\": [{\"type\": \"episode\", \"subtype\": \"session_summary\", \"scope\": \"global\", \"title\": \"sebas: busca top packages que nos puedan servir https://pi.dev/packages\", \"content\": \"User asked: busca top packages que nos puedan servir https://pi.dev/packages\\nResult: Sí. Viendo populares, los más **no tan alineados al core**, pero que **te podrían gustar** por criterio de control, visibilidad, rigor o UX: ### 1. `context-mode` - Qué es: compresión/context store fuerte. - Por qué te puede gustar: - baja costo mental en sesiones largas - preserva contexto útil - va en línea con memoria durable y trabajo acumulativo - Duda: - puede solaparse con nuestro Agents Database + artifacts ### 2. `@plannotator/pi-extension` - Qué es: review de planes, anotaciones, review de código/PR. - Por qué te puede gustar: - mete estructura antes de ejecutar - bueno para pensar decisiones, no solo codear - puede servir para revisar planes de agentes - Duda: - riesgo de burocracia si no aporta señal real ### 3. `pi-lens` - Qué es: feedback en tiempo real, LSP, linters, type-check. - Por qué te puede gustar: - acorta loop de validación - más verdad local mientras editás - útil si querés que el agente vea calidad enseguida - Duda: - puede meter ruido si ya corrés validación externa sólida ### 4. `pi-chrome` - Qué es: usar perfil real de Chrome ya logueado. - Por qué te puede gustar: - muy práctico para flujos reales web - evita mocks en tareas con auth/UI - fuerte para debugging y scraping con sesión real - Duda: - más superficie de riesgo - hay que usarlo con disciplina ### 5. `@vigolium/piolium` - Qué es: auditorías de seguridad multi-fase con subagentes. - Por qué te puede gustar: - enfoque acotado, serio, con estado resumible - útil para pasadas de hardening - más “operación con criterio” que plugin juguete - Duda: - nicho; no para uso diario ### 6. `pi-markdown-preview` - Qué es: preview de markdown/LaTeX/browser/PDF. - Por qué te puede gustar: - bueno si querés artefactos legibles rápido - útil para docs, reportes, entregables - Duda: - más comodidad que capacidad core ### 7. `pi-langfuse` o `@posthog/pi` - Qué es: observabilidad/analytics/tracing. - Por qué te puede gustar: - si querés entender uso, costo, fallas, loops - bueno para hacer al agent…\", \"source_ref\": \"session:019e9ea8-e703-7379-a33b-bc25bcd8c12b\", \"evidence_ref\": \"/home/sebas/pi-config/sessions/--home-sebas--/2026-06-06T20-38-49-859Z_019e9ea8-e703-7379-a33b-bc25bcd8c12b.jsonl\", \"confidence\": 0.72, \"freshness\": 0.95, \"importance\": 0.56, \"reason\": \"Deterministic fallback because model analysis was unavailable: Warning: No models match pattern \\\"gemini-3-flash-preview:minimal\\\"\\nWarning: No models match pattern \\\"gemini-3-flash-preview:medium\\\"\\nWarning: No models match pattern \\\"claude-3-7-sonnet:low\\\"\\nWarning: No models match pattern \\\"claude-3-7-sonnet:medium\\\"\\nWarning: No models match pattern \\\"claude-3-7-sonnet:high\\\"\\nWarning: No models match pattern \\\"o3-mini:low\\\"\\nWarning: No models match pattern \\\"o3-mini:medium\\\"\\nWarning: No models match pattern \\\"o3-mini:high\\\"\\nWarning: No models match pattern \\\"minimax-m2.5-free:minimal\\\"\\nWarning: No models match pattern \\\"qwen/qwen3-coder:free:minimal\\\"\\nWarning: No models match pattern \\\"google/gemma-3-27b-it:free:minimal\\\"\\nNo API key for provider: openai-codex\"}], \"reason\": \"fallback-analysis:Warning: No models match pattern \\\"gemini-3-flash-preview:minimal\\\"\\nWarning: No models match pattern \\\"gemini-3-flash-preview:medium\\\"\\nWarning: No models match pattern \\\"claude-3-7-sonnet:low\\\"\\nWarning: No models match pattern \\\"claude-3-7-sonnet:medium\\\"\\nWarning: No models match pattern \\\"claude-3-7-sonnet:high\\\"\\nWarning: No models match pattern \\\"o3-mini:low\\\"\\nWarning: No models match pattern \\\"o3-mini:medium\\\"\\nWarning: No models match pattern \\\"o3-mini:high\\\"\\nWarning: No models match pattern \\\"minimax-m2.5-free:minimal\\\"\\nWarning: No models match pattern \\\"qwen/qwen3-coder:free:minimal\\\"\\nWarning: No models match pattern \\\"google/gemma-3-27b-it:free:minimal\\\"\\nNo API key for provider: openai-codex\"}", "result": { "memories": [ { "type": "episode", "subtype": "session_summary", "scope": "global", "title": "sebas: busca top packages que nos puedan servir https://pi.dev/packages", "content": "User asked: busca top packages que nos puedan servir https://pi.dev/packages\nResult: Sí. Viendo populares, los más **no tan alineados al core**, pero que **te podrían gustar** por criterio de control, visibilidad, rigor o UX: ### 1. `context-mode` - Qué es: compresión/context store fuerte. - Por qué te puede gustar: - baja costo mental en sesiones largas - preserva contexto útil - va en línea con memoria durable y trabajo acumulativo - Duda: - puede solaparse con nuestro Agents Database + artifacts ### 2. `@plannotator/pi-extension` - Qué es: review de planes, anotaciones, review de código/PR. - Por qué te puede gustar: - mete estructura antes de ejecutar - bueno para pensar decisiones, no solo codear - puede servir para revisar planes de agentes - Duda: - riesgo de burocracia si no aporta señal real ### 3. `pi-lens` - Qué es: feedback en tiempo real, LSP, linters, type-check. - Por qué te puede gustar: - acorta loop de validación - más verdad local mientras editás - útil si querés que el agente vea calidad enseguida - Duda: - puede meter ruido si ya corrés validación externa sólida ### 4. `pi-chrome` - Qué es: usar perfil real de Chrome ya logueado. - Por qué te puede gustar: - muy práctico para flujos reales web - evita mocks en tareas con auth/UI - fuerte para debugging y scraping con sesión real - Duda: - más superficie de riesgo - hay que usarlo con disciplina ### 5. `@vigolium/piolium` - Qué es: auditorías de seguridad multi-fase con subagentes. - Por qué te puede gustar: - enfoque acotado, serio, con estado resumible - útil para pasadas de hardening - más “operación con criterio” que plugin juguete - Duda: - nicho; no para uso diario ### 6. `pi-markdown-preview` - Qué es: preview de markdown/LaTeX/browser/PDF. - Por qué te puede gustar: - bueno si querés artefactos legibles rápido - útil para docs, reportes, entregables - Duda: - más comodidad que capacidad core ### 7. `pi-langfuse` o `@posthog/pi` - Qué es: observabilidad/analytics/tracing. - Por qué te puede gustar: - si querés entender uso, costo, fallas, loops - bueno para hacer al agent…", "source_ref": "session:019e9ea8-e703-7379-a33b-bc25bcd8c12b", "evidence_ref": "/home/sebas/pi-config/sessions/--home-sebas--/2026-06-06T20-38-49-859Z_019e9ea8-e703-7379-a33b-bc25bcd8c12b.jsonl", "confidence": 0.72, "freshness": 0.95, "importance": 0.56, "reason": "Deterministic fallback because model analysis was unavailable: Warning: No models match pattern \"gemini-3-flash-preview:minimal\"\nWarning: No models match pattern \"gemini-3-flash-preview:medium\"\nWarning: No models match pattern \"claude-3-7-sonnet:low\"\nWarning: No models match pattern \"claude-3-7-sonnet:medium\"\nWarning: No models match pattern \"claude-3-7-sonnet:high\"\nWarning: No models match pattern \"o3-mini:low\"\nWarning: No models match pattern \"o3-mini:medium\"\nWarning: No models match pattern \"o3-mini:high\"\nWarning: No models match pattern \"minimax-m2.5-free:minimal\"\nWarning: No models match pattern \"qwen/qwen3-coder:free:minimal\"\nWarning: No models match pattern \"google/gemma-3-27b-it:free:minimal\"\nNo API key for provider: openai-codex" } ], "reason": "fallback-analysis:Warning: No models match pattern \"gemini-3-flash-preview:minimal\"\nWarning: No models match pattern \"gemini-3-flash-preview:medium\"\nWarning: No models match pattern \"claude-3-7-sonnet:low\"\nWarning: No models match pattern \"claude-3-7-sonnet:medium\"\nWarning: No models match pattern \"claude-3-7-sonnet:high\"\nWarning: No models match pattern \"o3-mini:low\"\nWarning: No models match pattern \"o3-mini:medium\"\nWarning: No models match pattern \"o3-mini:high\"\nWarning: No models match pattern \"minimax-m2.5-free:minimal\"\nWarning: No models match pattern \"qwen/qwen3-coder:free:minimal\"\nWarning: No models match pattern \"google/gemma-3-27b-it:free:minimal\"\nNo API key for provider: openai-codex" }, "fallback_error": "Warning: No models match pattern \"gemini-3-flash-preview:minimal\"\nWarning: No models match pattern \"gemini-3-flash-preview:medium\"\nWarning: No models match pattern \"claude-3-7-sonnet:low\"\nWarning: No models match pattern \"claude-3-7-sonnet:medium\"\nWarning: No models match pattern \"claude-3-7-sonnet:high\"\nWarning: No models match pattern \"o3-mini:low\"\nWarning: No models match pattern \"o3-mini:medium\"\nWarning: No models match pattern \"o3-mini:high\"\nWarning: No models match pattern \"minimax-m2.5-free:minimal\"\nWarning: No models match pattern \"qwen/qwen3-coder:free:minimal\"\nWarning: No models match pattern \"google/gemma-3-27b-it:free:minimal\"\nNo API key for provider: openai-codex" } }