{"type":"session","version":3,"id":"019d9917-cb32-74de-b72a-59239b19fe07","timestamp":"2026-04-17T01:39:26.642Z","cwd":"/home/sebas"} {"type":"model_change","id":"8e964e28","parentId":null,"timestamp":"2026-04-17T01:39:26.738Z","provider":"openai-codex","modelId":"gpt-5.4"} {"type":"thinking_level_change","id":"66ec3c57","parentId":"8e964e28","timestamp":"2026-04-17T01:39:26.738Z","thinkingLevel":"off"} {"type":"message","id":"6bae744d","parentId":"66ec3c57","timestamp":"2026-04-17T01:39:40.307Z","message":{"role":"user","content":[{"type":"text","text":"Se guardó una memoria nueva recientemente.?"}],"timestamp":1776389980306}} {"type":"message","id":"5a7de666","parentId":"6bae744d","timestamp":"2026-04-17T01:39:41.759Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_jjg4YzyvxYLfh4MMQ6kjfCbX|fc_0fd7a590eb8baf350169e18f5d3100819795d8a9b775217211","name":"read","arguments":{"path":"/home/sebas/.agents/skills/personal-memory-search/SKILL.md"}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":3437,"output":32,"cacheRead":0,"cacheWrite":0,"totalTokens":3469,"cost":{"input":0.008592500000000001,"output":0.00048,"cacheRead":0,"cacheWrite":0,"total":0.0090725}},"stopReason":"toolUse","timestamp":1776389980307,"responseId":"resp_0fd7a590eb8baf350169e18f5c9f008197bd1a349a8b69233c"}} {"type":"message","id":"efb0d198","parentId":"5a7de666","timestamp":"2026-04-17T01:39:41.774Z","message":{"role":"toolResult","toolCallId":"call_jjg4YzyvxYLfh4MMQ6kjfCbX|fc_0fd7a590eb8baf350169e18f5d3100819795d8a9b775217211","toolName":"read","content":[{"type":"text","text":"---\nname: personal-memory-search\ndescription: Search persisted research memory, claims, and tasks\n---\n\n# personal-memory-search\n\n## Workflow\n\n1. Execute:\n - `curl -fsSL \"${AGENTS_DB_API:-http://100.116.176.16:8091}/api/search?q=&scope=global&scope=project&limit=20\"`\n2. Return matching runs, claims, and tasks from the JSON response.\n3. Prefer reuse of prior work before starting a new run.\n"}],"isError":false,"timestamp":1776389981771}} {"type":"message","id":"d1b7fc05","parentId":"efb0d198","timestamp":"2026-04-17T01:39:44.146Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_67sSEYOgD9sWf0zAdOqjgzyJ|fc_0fd7a590eb8baf350169e18f5ef9c48197b5950641b6625d17","name":"bash","arguments":{"command":"curl -fsSL 'http://100.116.176.16:8091/api/search?q=recent%20latest%20new%20memory%20ingest&scope=global&scope=project&limit=10'"}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":255,"output":65,"cacheRead":3328,"cacheWrite":0,"totalTokens":3648,"cost":{"input":0.0006375,"output":0.0009750000000000001,"cacheRead":0.000832,"cacheWrite":0,"total":0.0024445}},"stopReason":"toolUse","timestamp":1776389981774,"responseId":"resp_0fd7a590eb8baf350169e18f5e2cb0819791eff87f9a52fec5"}} {"type":"message","id":"181a8fd0","parentId":"d1b7fc05","timestamp":"2026-04-17T01:39:44.161Z","message":{"role":"toolResult","toolCallId":"call_67sSEYOgD9sWf0zAdOqjgzyJ|fc_0fd7a590eb8baf350169e18f5ef9c48197b5950641b6625d17","toolName":"bash","content":[{"type":"text","text":"curl: (52) Empty reply from server\n\n\nCommand exited with code 52"}],"details":{},"isError":true,"timestamp":1776389984161}} {"type":"message","id":"142f9d9d","parentId":"181a8fd0","timestamp":"2026-04-17T01:39:47.209Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_cKagh0vedbMz9fBCfONUOam5|fc_0fd7a590eb8baf350169e18f61ada88197bc90153f1084c9d2","name":"bash","arguments":{"command":"curl -fsSL 'http://100.116.176.16:8091/api/status' && printf '\\n---\\n' && curl -i -sS 'http://100.116.176.16:8091/api/search?q=memory&scope=global&scope=project&limit=5'","timeout":15}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":219,"output":87,"cacheRead":3456,"cacheWrite":0,"totalTokens":3762,"cost":{"input":0.0005475,"output":0.001305,"cacheRead":0.000864,"cacheWrite":0,"total":0.0027165}},"stopReason":"toolUse","timestamp":1776389984161,"responseId":"resp_0fd7a590eb8baf350169e18f607cac8197ac261c77c33c04aa"}} {"type":"message","id":"0a5b3a50","parentId":"142f9d9d","timestamp":"2026-04-17T01:39:47.227Z","message":{"role":"toolResult","toolCallId":"call_cKagh0vedbMz9fBCfONUOam5|fc_0fd7a590eb8baf350169e18f61ada88197bc90153f1084c9d2","toolName":"bash","content":[{"type":"text","text":"curl: (52) Empty reply from server\n\n\nCommand exited with code 52"}],"details":{},"isError":true,"timestamp":1776389987227}} {"type":"message","id":"ad903a49","parentId":"0a5b3a50","timestamp":"2026-04-17T01:39:52.691Z","message":{"role":"assistant","content":[{"type":"text","text":"Síntesis: no puedo confirmar ahora.\n\nAgents DB responde mal. Server da `Empty reply from server`, hasta en `/api/status`.\n\nEntonces:\n- puede que sí se guardó memoria nueva\n- pero base de memorias ahorita no me deja verificar\n\nSi quieres, yo puedo hacer una de estas:\n1. revisar logs del `agents-database`\n2. probar proceso/puerto local\n3. buscar memoria por archivos o servicio si existe respaldo local\n\nDi cuál.","textSignature":"{\"v\":1,\"id\":\"msg_0fd7a590eb8baf350169e18f66b594819786dcd4a6f8c99a81\",\"phase\":\"final_answer\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":205,"output":103,"cacheRead":3584,"cacheWrite":0,"totalTokens":3892,"cost":{"input":0.0005125,"output":0.001545,"cacheRead":0.000896,"cacheWrite":0,"total":0.0029535}},"stopReason":"stop","timestamp":1776389987228,"responseId":"resp_0fd7a590eb8baf350169e18f66185881978409641451154b29"}} {"type":"message","id":"b807e9aa","parentId":"ad903a49","timestamp":"2026-04-17T01:40:11.020Z","message":{"role":"user","content":[{"type":"text","text":"Diagnostica y arregla la causa de la database fallando."}],"timestamp":1776390011019}} {"type":"message","id":"2274a830","parentId":"b807e9aa","timestamp":"2026-04-17T01:40:15.710Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_U5F6RMlLQS4b3nMopx02tR8e|fc_0fd7a590eb8baf350169e18f7f963881979f22a1dedd1e9ea8","name":"read","arguments":{"path":"/home/sebas/.agents/skills/memory-write/SKILL.md"}},{"type":"toolCall","id":"call_d02FNWMo4B7GG2iv4Qa7TCS8|fc_0fd7a590eb8baf350169e18f7f964c8197a1e8e4bf763cb8f9","name":"bash","arguments":{"command":"set -o pipefail\nps -ef | grep -i '[a]gents-database' || true\nprintf '\\n---PORTS---\\n'\nss -ltnp | grep ':8091' || true\nprintf '\\n---SYSTEMD---\\n'\nsystemctl --no-pager --full status agents-database 2>&1 || true\nprintf '\\n---DOCKER---\\n'\ndocker ps --format 'table {{.Names}}\\t{{.Image}}\\t{{.Status}}\\t{{.Ports}}' 2>/dev/null | (grep -i 'agents-database\\|NAMES' || true)\n","timeout":20}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":200,"output":206,"cacheRead":3712,"cacheWrite":0,"totalTokens":4118,"cost":{"input":0.0005,"output":0.00309,"cacheRead":0.000928,"cacheWrite":0,"total":0.0045179999999999994}},"stopReason":"toolUse","timestamp":1776390011020,"responseId":"resp_0fd7a590eb8baf350169e18f7b6618819795662f80172de083"}} {"type":"message","id":"e2519fa3","parentId":"2274a830","timestamp":"2026-04-17T01:40:15.722Z","message":{"role":"toolResult","toolCallId":"call_U5F6RMlLQS4b3nMopx02tR8e|fc_0fd7a590eb8baf350169e18f7f963881979f22a1dedd1e9ea8","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":1776390015717}} {"type":"message","id":"fe9d98f1","parentId":"e2519fa3","timestamp":"2026-04-17T01:40:15.756Z","message":{"role":"toolResult","toolCallId":"call_d02FNWMo4B7GG2iv4Qa7TCS8|fc_0fd7a590eb8baf350169e18f7f964c8197a1e8e4bf763cb8f9","toolName":"bash","content":[{"type":"text","text":"sebas 1336 1273 0 10:42 ? 00:00:03 python3 -m shared_agent_memory.cli --db /home/sebas/agents-database/data/shared-agent-memory.sqlite3 serve-http --host 0.0.0.0 --port 8091\nroot 1434 1261 0 10:42 ? 00:00:00 sudo -n -u sebas /usr/sbin/tailscaled serve-taildrive memory /home/sebas/agents-database/data\nsebas 1438 1434 0 10:42 ? 00:00:00 /usr/sbin/tailscaled serve-taildrive memory /home/sebas/agents-database/data\nsebas 160399 155009 0 22:40 ? 00:00:00 /bin/bash -c set -o pipefail ps -ef | grep -i '[a]gents-database' || true printf '\\n---PORTS---\\n' ss -ltnp | grep ':8091' || true printf '\\n---SYSTEMD---\\n' systemctl --no-pager --full status agents-database 2>&1 || true printf '\\n---DOCKER---\\n' docker ps --format 'table {{.Names}}\\t{{.Image}}\\t{{.Status}}\\t{{.Ports}}' 2>/dev/null | (grep -i 'agents-database\\|NAMES' || true) \n\n---PORTS---\nLISTEN 0 5 0.0.0.0:8091 0.0.0.0:* users:((\"python3\",pid=1336,fd=3)) \n\n---SYSTEMD---\nUnit agents-database.service could not be found.\n\n---DOCKER---\n\n\nCommand exited with code 127"}],"details":{},"isError":true,"timestamp":1776390015755}} {"type":"message","id":"fcd6cd6d","parentId":"fe9d98f1","timestamp":"2026-04-17T01:40:24.021Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_ZjRzfQVoaZXsF6FLCZNBSw00|fc_0fd7a590eb8baf350169e18f87db1481978416a2006a66d2af","name":"bash","arguments":{"command":"set -o pipefail\nprintf '---CURL LOCAL STATUS---\\n'\ncurl -v --max-time 10 http://127.0.0.1:8091/api/status 2>&1 || true\nprintf '\\n---CURL LOCAL SEARCH---\\n'\ncurl -v --max-time 10 'http://127.0.0.1:8091/api/search?q=test&scope=global&limit=3' 2>&1 || true\nprintf '\\n---PROC CMDLINE---\\n'\ntr '\\0' ' ' < /proc/1336/cmdline; printf '\\n'\nprintf '\\n---OPEN FILES SQLITE---\\n'\nlsof -p 1336 2>/dev/null | grep -E 'sqlite|shared-agent-memory|agents-database' || true\nprintf '\\n---RECENT PROCESS STDERR?---\\n'\nls -l /proc/1336/fd 2>/dev/null | tail -n +1 || true\n","timeout":20}},{"type":"toolCall","id":"call_R3hGOVBL1xalyFQm16jXid3g|fc_0fd7a590eb8baf350169e18f87db288197b8b0aeca081b5c5f","name":"bash","arguments":{"command":"set -o pipefail\nls -lah /home/sebas/agents-database/data || true\nprintf '\\n---DB FILES---\\n'\nfind /home/sebas/agents-database/data -maxdepth 2 -type f | sort || true\nprintf '\\n---SQLITE PRAGMA QUICK_CHECK---\\n'\nsqlite3 /home/sebas/agents-database/data/shared-agent-memory.sqlite3 'PRAGMA quick_check;' 2>&1 || true\nprintf '\\n---TABLES---\\n'\nsqlite3 /home/sebas/agents-database/data/shared-agent-memory.sqlite3 '.tables' 2>&1 || true\n","timeout":20}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":1173,"output":407,"cacheRead":3968,"cacheWrite":0,"totalTokens":5548,"cost":{"input":0.0029325,"output":0.006105,"cacheRead":0.000992,"cacheWrite":0,"total":0.0100295}},"stopReason":"toolUse","timestamp":1776390015756,"responseId":"resp_0fd7a590eb8baf350169e18f80085c8197b091d714d9a2d185"}} {"type":"message","id":"05c9a5c2","parentId":"fcd6cd6d","timestamp":"2026-04-17T01:40:24.100Z","message":{"role":"toolResult","toolCallId":"call_ZjRzfQVoaZXsF6FLCZNBSw00|fc_0fd7a590eb8baf350169e18f87db1481978416a2006a66d2af","toolName":"bash","content":[{"type":"text","text":"/bin/bash: line 2: printf: --: invalid option\nprintf: usage: printf [-v var] format [arguments]\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n\r 0 0 0 0 0 0 0 0 --:--:-- --:--:-- --:--:-- 0* Trying 127.0.0.1:8091...\n* Connected to 127.0.0.1 (127.0.0.1) port 8091\n* using HTTP/1.x\n> GET /api/status HTTP/1.1\r\n> Host: 127.0.0.1:8091\r\n> User-Agent: curl/8.14.1\r\n> Accept: */*\r\n> \r\n* Request completely sent off\n* Empty reply from server\n\r 0 0 0 0 0 0 0 0 --:--:-- --:--:-- --:--:-- 0\n* shutting down connection #0\ncurl: (52) Empty reply from server\n\n---CURL LOCAL SEARCH---\n % Total % Received % Xferd Average Speed Time Time Time Current\n Dload Upload Total Spent Left Speed\n\r 0 0 0 0 0 0 0 0 --:--:-- --:--:-- --:--:-- 0* Trying 127.0.0.1:8091...\n* Connected to 127.0.0.1 (127.0.0.1) port 8091\n* using HTTP/1.x\n> GET /api/search?q=test&scope=global&limit=3 HTTP/1.1\r\n> Host: 127.0.0.1:8091\r\n> User-Agent: curl/8.14.1\r\n> Accept: */*\r\n> \r\n* Request completely sent off\n* Empty reply from server\n\r 0 0 0 0 0 0 0 0 --:--:-- --:--:-- --:--:-- 0\n* shutting down connection #0\ncurl: (52) Empty reply from server\n\n---PROC CMDLINE---\npython3 -m shared_agent_memory.cli --db /home/sebas/agents-database/data/shared-agent-memory.sqlite3 serve-http --host 0.0.0.0 --port 8091 \n\n---OPEN FILES SQLITE---\npython3 1336 sebas cwd DIR 179,2 0 293712 /home/sebas/agents-database (deleted)\npython3 1336 sebas mem REG 179,2 1592144 139838 /usr/lib/aarch64-linux-gnu/libsqlite3.so.0.8.6\npython3 1336 sebas mem REG 179,2 140152 153576 /usr/lib/python3.13/lib-dynload/_sqlite3.cpython-313-aarch64-linux-gnu.so\n\n---RECENT PROCESS STDERR?---\ntotal 0\nlr-x------ 1 sebas sebas 64 Apr 16 10:42 0 -> /dev/null\nlrwx------ 1 sebas sebas 64 Apr 16 10:42 1 -> socket:[8146]\nlrwx------ 1 sebas sebas 64 Apr 16 10:42 2 -> socket:[8146]\nlrwx------ 1 sebas sebas 64 Apr 16 10:42 3 -> socket:[11701]\n"}],"isError":false,"timestamp":1776390024100}} {"type":"message","id":"0b2d09e8","parentId":"05c9a5c2","timestamp":"2026-04-17T01:40:24.100Z","message":{"role":"toolResult","toolCallId":"call_R3hGOVBL1xalyFQm16jXid3g|fc_0fd7a590eb8baf350169e18f87db288197b8b0aeca081b5c5f","toolName":"bash","content":[{"type":"text","text":"\n---DB FILES---\n\n---SQLITE PRAGMA QUICK_CHECK---\n/bin/bash: line 6: sqlite3: command not found\n\n---TABLES---\n/bin/bash: line 8: sqlite3: command not found\nls: cannot access '/home/sebas/agents-database/data': No such file or directory\nfind: ‘/home/sebas/agents-database/data’: No such file or directory\n"}],"isError":false,"timestamp":1776390024100}} {"type":"message","id":"c720a9ce","parentId":"0b2d09e8","timestamp":"2026-04-17T01:40:30.598Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_ODZmK0TO8eaQnpYwHmOPwu5L|fc_0fd7a590eb8baf350169e18f8e75d08197aac3557ef1e7d63d","name":"bash","arguments":{"command":"pwd\nprintf '%s\\n' '---HOME---'\necho \"$HOME\"\nprintf '%s\\n' '---AGENTS DB CANDIDATES---'\nfind /home/sebas -maxdepth 3 \\( -type d -name 'agents-database' -o -type f -name 'shared-agent-memory.sqlite3' \\) 2>/dev/null | sort\nprintf '%s\\n' '---PROCESS CWD LINK---'\nreadlink -f /proc/1336/cwd || true\nprintf '%s\\n' '---PROCESS EXE---'\nreadlink -f /proc/1336/exe || true\n","timeout":20}},{"type":"toolCall","id":"call_mcpTbnSB0XDEzYkS9rcCn9sf|fc_0fd7a590eb8baf350169e18f8e75e88197b0905611ed3159c2","name":"bash","arguments":{"command":"python3 - <<'PY'\nimport sqlite3, os\npath='/home/sebas/agents-database/data/shared-agent-memory.sqlite3'\nprint('exists', os.path.exists(path), path)\nif os.path.exists(path):\n con=sqlite3.connect(path)\n cur=con.cursor()\n print('quick_check', cur.execute('PRAGMA quick_check').fetchall())\n print('tables', cur.execute(\"select name from sqlite_master where type='table' order by name\").fetchall())\nPY","timeout":20}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":1485,"output":308,"cacheRead":4992,"cacheWrite":0,"totalTokens":6785,"cost":{"input":0.0037125,"output":0.00462,"cacheRead":0.001248,"cacheWrite":0,"total":0.009580499999999999}},"stopReason":"toolUse","timestamp":1776390024101,"responseId":"resp_0fd7a590eb8baf350169e18f88668c819782afe88da6300335"}} {"type":"message","id":"791e5829","parentId":"c720a9ce","timestamp":"2026-04-17T01:40:30.612Z","message":{"role":"toolResult","toolCallId":"call_ODZmK0TO8eaQnpYwHmOPwu5L|fc_0fd7a590eb8baf350169e18f8e75d08197aac3557ef1e7d63d","toolName":"bash","content":[{"type":"text","text":"/home/sebas\n---HOME---\n/home/sebas\n---AGENTS DB CANDIDATES---\n---PROCESS CWD LINK---\n/home/sebas/agents-database (deleted)\n---PROCESS EXE---\n/usr/bin/python3.13\n"}],"isError":false,"timestamp":1776390030612}} {"type":"message","id":"fce3b8f0","parentId":"791e5829","timestamp":"2026-04-17T01:40:30.634Z","message":{"role":"toolResult","toolCallId":"call_mcpTbnSB0XDEzYkS9rcCn9sf|fc_0fd7a590eb8baf350169e18f8e75e88197b0905611ed3159c2","toolName":"bash","content":[{"type":"text","text":"exists False /home/sebas/agents-database/data/shared-agent-memory.sqlite3\n"}],"isError":false,"timestamp":1776390030634}} {"type":"message","id":"b5f32fae","parentId":"fce3b8f0","timestamp":"2026-04-17T01:40:37.187Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_iP2tYMHdcu1El2dZxTg6JvSr|fc_0fd7a590eb8baf350169e18f94aba48197aec649d09e411161","name":"bash","arguments":{"command":"find /mnt/rpi -maxdepth 4 \\( -type d -name 'agents-database' -o -type f -name 'shared-agent-memory.sqlite3' \\) 2>/dev/null | sort | sed -n '1,200p'","timeout":20}},{"type":"toolCall","id":"call_RqDsrkVavUze4zhKrJomDpaZ|fc_0fd7a590eb8baf350169e18f94abb88197b2814382c024d172","name":"bash","arguments":{"command":"find /home/sebas/.local /home/sebas/.config /home/sebas/.agents -maxdepth 4 \\( -type d -name 'agents-database' -o -type f -name 'shared-agent-memory.sqlite3' \\) 2>/dev/null | sort | sed -n '1,200p'","timeout":20}},{"type":"toolCall","id":"call_ZpFcDFWYamm2iZAYnhYBJZnQ|fc_0fd7a590eb8baf350169e18f94abc48197bef632eed4c859e1","name":"bash","arguments":{"command":"systemctl --user --no-pager --full list-units | grep -i 'agent\\|memory' || true\nprintf '%s\\n' '---USER UNIT FILES---'\nfind /home/sebas/.config/systemd/user -maxdepth 2 -type f | sort 2>/dev/null | sed -n '1,200p'","timeout":20}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":217,"output":271,"cacheRead":6656,"cacheWrite":0,"totalTokens":7144,"cost":{"input":0.0005425,"output":0.004065,"cacheRead":0.001664,"cacheWrite":0,"total":0.0062715}},"stopReason":"toolUse","timestamp":1776390030634,"responseId":"resp_0fd7a590eb8baf350169e18f8ee7c08197be9488fb3dd0a66f"}} {"type":"message","id":"0fba7c6b","parentId":"b5f32fae","timestamp":"2026-04-17T01:40:37.888Z","message":{"role":"toolResult","toolCallId":"call_iP2tYMHdcu1El2dZxTg6JvSr|fc_0fd7a590eb8baf350169e18f94aba48197aec649d09e411161","toolName":"bash","content":[{"type":"text","text":"/mnt/rpi/agents-database\n/mnt/rpi/agents-database/data/shared-agent-memory.sqlite3\n"}],"isError":false,"timestamp":1776390037888}} {"type":"message","id":"d9e35036","parentId":"0fba7c6b","timestamp":"2026-04-17T01:40:37.889Z","message":{"role":"toolResult","toolCallId":"call_RqDsrkVavUze4zhKrJomDpaZ|fc_0fd7a590eb8baf350169e18f94abb88197b2814382c024d172","toolName":"bash","content":[{"type":"text","text":"(no output)"}],"isError":false,"timestamp":1776390037888}} {"type":"message","id":"96863915","parentId":"d9e35036","timestamp":"2026-04-17T01:40:37.889Z","message":{"role":"toolResult","toolCallId":"call_ZpFcDFWYamm2iZAYnhYBJZnQ|fc_0fd7a590eb8baf350169e18f94abc48197bef632eed4c859e1","toolName":"bash","content":[{"type":"text","text":" agents-database-http.service loaded active running Agents Database HTTP API\n● agents-database-maintenance.service not-found failed failed agents-database-maintenance.service\n● personal-agent.service loaded activating auto-restart Personal Agent daemon\n gcr-ssh-agent.socket loaded active listening GCR ssh-agent wrapper\n gpg-agent-browser.socket loaded active listening GnuPG cryptographic agent and passphrase cache (access for web browsers)\n gpg-agent-extra.socket loaded active listening GnuPG cryptographic agent and passphrase cache (restricted)\n gpg-agent-ssh.socket loaded active listening GnuPG cryptographic agent (ssh-agent emulation)\n gpg-agent.socket loaded active listening GnuPG cryptographic agent and passphrase cache\n ssh-agent.socket loaded active listening OpenSSH Agent socket\n---USER UNIT FILES---\n/home/sebas/.config/systemd/user/agents-database-http.service\n/home/sebas/.config/systemd/user/ballbox-services.target\n/home/sebas/.config/systemd/user/opencode-web.service\n/home/sebas/.config/systemd/user/personal-agent.service\n"}],"isError":false,"timestamp":1776390037889}} {"type":"message","id":"bba87a90","parentId":"96863915","timestamp":"2026-04-17T01:40:43.676Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_NwFHFsOJKxtJJYmx1MaO4qlf|fc_0fd7a590eb8baf350169e18f9b89848197ada4294b6b42d95f","name":"read","arguments":{"path":"/home/sebas/.config/systemd/user/agents-database-http.service"}},{"type":"toolCall","id":"call_obQeH0MnJmRWZCcNiNndB4bC|fc_0fd7a590eb8baf350169e18f9b89948197a2a65b5cb995083c","name":"bash","arguments":{"command":"systemctl --user --no-pager --full status agents-database-http.service 2>&1 | sed -n '1,220p'\nprintf '%s\\n' '---JOURNAL---'\njournalctl --user -u agents-database-http.service -n 120 --no-pager 2>&1 | sed -n '1,240p'","timeout":25}},{"type":"toolCall","id":"call_HYKTD44GVbYfaikUAaUZH2JK|fc_0fd7a590eb8baf350169e18f9b899c8197af9712fbdcccd810","name":"bash","arguments":{"command":"python3 - <<'PY'\nimport sqlite3, os\npath='/mnt/rpi/agents-database/data/shared-agent-memory.sqlite3'\nprint('exists', os.path.exists(path), path)\nif os.path.exists(path):\n con=sqlite3.connect(path)\n cur=con.cursor()\n print('quick_check', cur.execute('PRAGMA quick_check').fetchall())\n print('tables', cur.execute(\"select name from sqlite_master where type='table' order by name\").fetchall())\nPY","timeout":20}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":425,"output":273,"cacheRead":7040,"cacheWrite":0,"totalTokens":7738,"cost":{"input":0.0010625,"output":0.004095,"cacheRead":0.0017599999999999998,"cacheWrite":0,"total":0.0069175}},"stopReason":"toolUse","timestamp":1776390037889,"responseId":"resp_0fd7a590eb8baf350169e18f9627c4819786d19f674a3afb1b"}} {"type":"message","id":"13f4b1f1","parentId":"bba87a90","timestamp":"2026-04-17T01:40:43.693Z","message":{"role":"toolResult","toolCallId":"call_NwFHFsOJKxtJJYmx1MaO4qlf|fc_0fd7a590eb8baf350169e18f9b89848197ada4294b6b42d95f","toolName":"read","content":[{"type":"text","text":"[Unit]\nDescription=Agents Database HTTP API\nAfter=network-online.target\nWants=network-online.target\n\n[Service]\nType=simple\nWorkingDirectory=/home/sebas/agents-database\nEnvironment=DB_PATH=/home/sebas/agents-database/data/shared-agent-memory.sqlite3\nEnvironment=HOST=0.0.0.0\nEnvironment=PORT=8091\nExecStart=/home/sebas/agents-database/scripts/run-http-api.sh\nRestart=always\nRestartSec=10\n\n[Install]\nWantedBy=default.target\n"}],"isError":false,"timestamp":1776390043692}} {"type":"message","id":"104b1bfa","parentId":"13f4b1f1","timestamp":"2026-04-17T01:40:43.701Z","message":{"role":"toolResult","toolCallId":"call_obQeH0MnJmRWZCcNiNndB4bC|fc_0fd7a590eb8baf350169e18f9b89948197a2a65b5cb995083c","toolName":"bash","content":[{"type":"text","text":"● agents-database-http.service - Agents Database HTTP API\n Loaded: loaded (/home/sebas/.config/systemd/user/agents-database-http.service; enabled; preset: enabled)\n Active: active (running) since Thu 2026-04-16 10:42:50 -03; 11h ago\n Invocation: 14bd28eb14984dcdab74405496ca8b65\n Main PID: 1336 (python3)\n Tasks: 1 (limit: 9571)\n CPU: 3.080s\n CGroup: /user.slice/user-1000.slice/user@1000.service/app.slice/agents-database-http.service\n └─1336 python3 -m shared_agent_memory.cli --db /home/sebas/agents-database/data/shared-agent-memory.sqlite3 serve-http --host 0.0.0.0 --port 8091\n\nApr 16 22:40:24 ballbox-first run-http-api.sh[1336]: File \"/usr/lib/python3.13/http/server.py\", line 424, in handle_one_request\nApr 16 22:40:24 ballbox-first run-http-api.sh[1336]: method()\nApr 16 22:40:24 ballbox-first run-http-api.sh[1336]: ~~~~~~^^\nApr 16 22:40:24 ballbox-first run-http-api.sh[1336]: File \"/home/sebas/agents-database/src/shared_agent_memory/http_api.py\", line 93, in do_GET\nApr 16 22:40:24 ballbox-first run-http-api.sh[1336]: File \"/home/sebas/agents-database/src/shared_agent_memory/service.py\", line 175, in search\nApr 16 22:40:24 ballbox-first run-http-api.sh[1336]: File \"/usr/lib/python3.13/contextlib.py\", line 141, in __enter__\nApr 16 22:40:24 ballbox-first run-http-api.sh[1336]: return next(self.gen)\nApr 16 22:40:24 ballbox-first run-http-api.sh[1336]: File \"/home/sebas/agents-database/src/shared_agent_memory/store.py\", line 31, in connection\nApr 16 22:40:24 ballbox-first run-http-api.sh[1336]: sqlite3.OperationalError: unable to open database file\nApr 16 22:40:24 ballbox-first run-http-api.sh[1336]: ----------------------------------------\n---JOURNAL---\nNo journal files were found.\n-- No entries --\n"}],"isError":false,"timestamp":1776390043700}} {"type":"message","id":"fe1ebc38","parentId":"104b1bfa","timestamp":"2026-04-17T01:40:51.296Z","message":{"role":"toolResult","toolCallId":"call_HYKTD44GVbYfaikUAaUZH2JK|fc_0fd7a590eb8baf350169e18f9b899c8197af9712fbdcccd810","toolName":"bash","content":[{"type":"text","text":"exists True /mnt/rpi/agents-database/data/shared-agent-memory.sqlite3\nquick_check [('ok',)]\ntables [('artifacts',), ('ingestion_events',), ('maintenance_jobs',), ('maintenance_runs',), ('memories',), ('memories_fts',), ('memories_fts_config',), ('memories_fts_content',), ('memories_fts_data',), ('memories_fts_docsize',), ('memories_fts_idx',), ('memory_conflicts',), ('memory_links',), ('profiles',), ('projects',), ('repos',), ('retrieval_logs',), ('sources',), ('task_runs',), ('tasks',)]\n"}],"isError":false,"timestamp":1776390051295}} {"type":"message","id":"496a16b8","parentId":"fe1ebc38","timestamp":"2026-04-17T01:40:55.160Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_Dr3Tmi5VZKems7BGBaxKQ98V|fc_0fd7a590eb8baf350169e18fa702d081979d30500b0648b294","name":"bash","arguments":{"command":"ls -ld /home/sebas/agents-database /mnt/rpi/agents-database\nprintf '%s\\n' '---HOME ENTRY---'\nstat /home/sebas/agents-database 2>&1 || true\nprintf '%s\\n' '---MNT ENTRY---'\nstat /mnt/rpi/agents-database 2>&1 || true\nprintf '%s\\n' '---RUN SCRIPT---'\nsed -n '1,220p' /mnt/rpi/agents-database/scripts/run-http-api.sh","timeout":20}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":1022,"output":151,"cacheRead":7552,"cacheWrite":0,"totalTokens":8725,"cost":{"input":0.0025550000000000004,"output":0.002265,"cacheRead":0.001888,"cacheWrite":0,"total":0.006708}},"stopReason":"toolUse","timestamp":1776390051296,"responseId":"resp_0fd7a590eb8baf350169e18fa399108197a63d69bd24c6c2a0"}} {"type":"message","id":"ab9f60c8","parentId":"496a16b8","timestamp":"2026-04-17T01:40:55.174Z","message":{"role":"toolResult","toolCallId":"call_Dr3Tmi5VZKems7BGBaxKQ98V|fc_0fd7a590eb8baf350169e18fa702d081979d30500b0648b294","toolName":"bash","content":[{"type":"text","text":"drwxrwxr-x 11 sebas sebas 4096 Mar 30 14:14 /mnt/rpi/agents-database\n---HOME ENTRY---\nls: cannot access '/home/sebas/agents-database': No such file or directory\nstat: cannot statx '/home/sebas/agents-database': No such file or directory\n---MNT ENTRY---\n File: /mnt/rpi/agents-database\n Size: 4096 \tBlocks: 8 IO Block: 4096 directory\nDevice: 8,1\tInode: 11796481 Links: 11\nAccess: (0775/drwxrwxr-x) Uid: ( 1000/ sebas) Gid: ( 1000/ sebas)\nAccess: 2026-04-16 22:40:37.821977176 -0300\nModify: 2026-03-30 14:14:21.439679373 -0300\nChange: 2026-04-16 21:41:53.442774171 -0300\n Birth: 2026-04-16 21:41:51.162759377 -0300\n---RUN SCRIPT---\n#!/usr/bin/env bash\nset -euo pipefail\n\nREPO_ROOT=\"$(cd \"$(dirname \"${BASH_SOURCE[0]}\")/..\" && pwd)\"\nDB_PATH=\"${DB_PATH:-${REPO_ROOT}/data/shared-agent-memory.sqlite3}\"\nHOST=\"${HOST:-0.0.0.0}\"\nPORT=\"${PORT:-8091}\"\n\nexport PATH=\"/opt/homebrew/bin:/usr/local/bin:/usr/bin:/bin:${PATH}\"\nexport PYTHONPATH=\"${REPO_ROOT}/src${PYTHONPATH:+:${PYTHONPATH}}\"\n\nexec python3 -m shared_agent_memory.cli \\\n --db \"${DB_PATH}\" \\\n serve-http \\\n --host \"${HOST}\" \\\n --port \"${PORT}\"\n"}],"isError":false,"timestamp":1776390055174}} {"type":"message","id":"37c03a74","parentId":"ab9f60c8","timestamp":"2026-04-17T01:40:59.876Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_CYJzaQGwe0wPkOqDo5eJXZ82|fc_0fd7a590eb8baf350169e18fa819e48197a6d00592aecc2dff","name":"edit","arguments":{"path":"/home/sebas/.config/systemd/user/agents-database-http.service","edits":[{"oldText":"[Service]\nType=simple\nWorkingDirectory=/home/sebas/agents-database\nEnvironment=DB_PATH=/home/sebas/agents-database/data/shared-agent-memory.sqlite3\nEnvironment=HOST=0.0.0.0\nEnvironment=PORT=8091\nExecStart=/home/sebas/agents-database/scripts/run-http-api.sh\nRestart=always\nRestartSec=10\n","newText":"[Service]\nType=simple\nWorkingDirectory=/mnt/rpi/agents-database\nEnvironment=DB_PATH=/mnt/rpi/agents-database/data/shared-agent-memory.sqlite3\nEnvironment=HOST=0.0.0.0\nEnvironment=PORT=8091\nExecStart=/mnt/rpi/agents-database/scripts/run-http-api.sh\nRestart=always\nRestartSec=10\n"}]}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":683,"output":208,"cacheRead":8448,"cacheWrite":0,"totalTokens":9339,"cost":{"input":0.0017075,"output":0.00312,"cacheRead":0.0021119999999999997,"cacheWrite":0,"total":0.0069394999999999995}},"stopReason":"toolUse","timestamp":1776390055175,"responseId":"resp_0fd7a590eb8baf350169e18fa778048197be004e3658257ae9"}} {"type":"message","id":"47c11cba","parentId":"37c03a74","timestamp":"2026-04-17T01:40:59.898Z","message":{"role":"toolResult","toolCallId":"call_CYJzaQGwe0wPkOqDo5eJXZ82|fc_0fd7a590eb8baf350169e18fa819e48197a6d00592aecc2dff","toolName":"edit","content":[{"type":"text","text":"Successfully replaced 1 block(s) in /home/sebas/.config/systemd/user/agents-database-http.service."}],"details":{"diff":" ...\n 4 Wants=network-online.target\n 5 \n 6 [Service]\n 7 Type=simple\n- 8 WorkingDirectory=/home/sebas/agents-database\n- 9 Environment=DB_PATH=/home/sebas/agents-database/data/shared-agent-memory.sqlite3\n+ 8 WorkingDirectory=/mnt/rpi/agents-database\n+ 9 Environment=DB_PATH=/mnt/rpi/agents-database/data/shared-agent-memory.sqlite3\n 10 Environment=HOST=0.0.0.0\n 11 Environment=PORT=8091\n-12 ExecStart=/home/sebas/agents-database/scripts/run-http-api.sh\n+12 ExecStart=/mnt/rpi/agents-database/scripts/run-http-api.sh\n 13 Restart=always\n 14 RestartSec=10\n 15 \n 16 [Install]\n ...","firstChangedLine":8},"isError":false,"timestamp":1776390059897}} {"type":"message","id":"7a79b866","parentId":"47c11cba","timestamp":"2026-04-17T01:41:04.015Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_3IgmbF6l027JLgBuf6e2AAyz|fc_0fd7a590eb8baf350169e18fad17888197a48bada2daf29839","name":"bash","arguments":{"command":"systemctl --user daemon-reload && systemctl --user restart agents-database-http.service && sleep 2 && systemctl --user --no-pager --full status agents-database-http.service 2>&1 | sed -n '1,120p'\nprintf '%s\\n' '---STATUS API---'\ncurl -fsSL http://127.0.0.1:8091/api/status\nprintf '\\n---SEARCH API---\\n'\ncurl -fsSL 'http://127.0.0.1:8091/api/search?q=memory&scope=global&scope=project&limit=3' | sed -n '1,80p'","timeout":30}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":157,"output":162,"cacheRead":9216,"cacheWrite":0,"totalTokens":9535,"cost":{"input":0.00039250000000000005,"output":0.00243,"cacheRead":0.002304,"cacheWrite":0,"total":0.0051265}},"stopReason":"toolUse","timestamp":1776390059899,"responseId":"resp_0fd7a590eb8baf350169e18fac33608197b413332cf530fab9"}} {"type":"message","id":"ac41b75b","parentId":"7a79b866","timestamp":"2026-04-17T01:41:06.264Z","message":{"role":"toolResult","toolCallId":"call_3IgmbF6l027JLgBuf6e2AAyz|fc_0fd7a590eb8baf350169e18fad17888197a48bada2daf29839","toolName":"bash","content":[{"type":"text","text":"---SEARCH API---\n{\"retrieval_id\": \"ret_5c164dff0cd04b2ca9d10c33345450e5\", \"results\": [{\"memory\": {\"id\": \"mem_v1_legacy_bridge_status\", \"type\": \"decision\", \"scope\": \"project\", \"status\": \"active\", \"project_id\": \"proj_personal_agent\", \"repo_id\": \"repo_personal_agent\", \"agent_id\": null, \"source_kind\": \"manual\", \"title\": \"V1 legacy bridge policy\", \"content\": \"New durable work lives only in agents-database. Legacy personal-agent sqlite stays transition-only, with old-run inspection bridged through mirrored shared-memory records.\", \"summary\": \"Legacy sqlite is transition-only; old-run inspection falls back to shared-memory mirrors.\", \"confidence\": 0.96, \"freshness\": 0.95, \"created_at\": \"2026-03-14T21:29:18.507032+00:00\", \"updated_at\": \"2026-03-14T21:29:18.507032+00:00\", \"observed_at\": \"2026-03-14T21:29:18.507032+00:00\", \"source_ref\": \"personal-agent\", \"evidence_ref\": \"art_2101da9740f44e53b145eaec35755355\", \"schema_version\": \"shared-agent-memory-v2\", \"subtype\": null, \"run_id\": null, \"task_id\": null, \"url\": null, \"domain\": null, \"origin_agent\": null, \"metadata\": {\"kind\": \"transition_policy\", \"milestone\": \"V1\"}, \"embedding\": [0.4684594956601416, 0.4673883230328699, 0.41311557658443887, 0.36134223293297507, 0.34991639157541066, 0.30421302614515294, 0.18138523155133532, 0.11390135603322041]}, \"score\": 0.5391025471489276, \"score_breakdown\": {\"facet\": 0.0, \"lexical\": 1.0, \"semantic\": 0.9566836476595169, \"confidence\": 0.96, \"freshness\": 0.95}, \"matched_scope\": \"project\", \"evidence_ref\": \"art_2101da9740f44e53b145eaec35755355\", \"explanation\": \"facets=0.00 lexical=1.00 semantic=0.96 confidence=0.96 freshness=0.95\"}, {\"memory\": {\"id\": \"mem_ballbox_alias_resolution_rule\", \"type\": \"decision\", \"scope\": \"project\", \"status\": \"active\", \"project_id\": \"ballbox\", \"repo_id\": null, \"agent_id\": null, \"source_kind\": \"manual\", \"title\": \"Ballbox alias resolution rule for Volvox mentions\", \"content\": \"When Sebas says or types Volvox in this domain, assume he means Ballbox unless surrounding context clearly points to a different real entity. Use Ballbox as the canonical interpretation in memory, retrieval, naming, and project reasoning. Keep Volvox only as a fallback recognition alias for mistaken speech-to-text or microphone transcription.\", \"summary\": \"Default resolution: Volvox should be interpreted as Ballbox unless context clearly says otherwise.\", \"confidence\": 1.0, \"freshness\": 1.0, \"created_at\": \"2026-03-13T20:18:43.250199+00:00\", \"updated_at\": \"2026-03-13T20:18:43.250199+00:00\", \"observed_at\": \"2026-03-13T20:18:43.250199+00:00\", \"source_ref\": \"conversation:2026-03-13:ballbox-volvox-resolution-rule\", \"evidence_ref\": \"conversation:2026-03-13:ballbox-volvox-resolution-rule\", \"schema_version\": \"shared-agent-memory-v2\", \"subtype\": null, \"run_id\": null, \"task_id\": null, \"url\": null, \"domain\": null, \"origin_agent\": null, \"metadata\": {\"alias\": \"Volvox\", \"canonical_name\": \"Ballbox\", \"kind\": \"alias_resolution_rule\", \"project\": \"ballbox\", \"resolution\": \"default_to_ballbox\"}, \"embedding\": [0.47297764659686814, 0.41227106572195277, 0.35990330090128403, 0.36123751146996347, 0.35523356391090594, 0.37224474866156904, 0.2625059293876835, 0.1124072404112444]}, \"score\": 0.5423725821584874, \"score_breakdown\": {\"facet\": 0.0, \"lexical\": 1.0, \"semantic\": 0.9491505477232491, \"confidence\": 1.0, \"freshness\": 1.0}, \"matched_scope\": \"project\", \"evidence_ref\": \"conversation:2026-03-13:ballbox-volvox-resolution-rule\", \"explanation\": \"facets=0.00 lexical=1.00 semantic=0.95 confidence=1.00 freshness=1.00\"}, {\"memory\": {\"id\": \"legacy_claim_73698c1a-612d-456d-b178-6286ae9ab9cd_153d4bcd9fffe7e9\", \"type\": \"artifact\", \"scope\": \"global\", \"status\": \"active\", \"project_id\": null, \"repo_id\": null, \"agent_id\": null, \"source_kind\": \"manual\", \"title\": \"Research claim: When Sebas shares notable facts about himself or his projects, persist them in l\", \"content\": \"When Sebas shares notable facts about himself or his projects, persist them in local memory for future turns.\", \"summary\": \"When Sebas shares notable facts about himself or his projects, persist them in local memory for future turns.\", \"confidence\": 0.99, \"freshness\": 0.7, \"created_at\": \"2026-03-13T14:01:39.706968+00:00\", \"updated_at\": \"2026-03-24T14:18:16.798396+00:00\", \"observed_at\": \"2026-03-13T14:01:39.706968+00:00\", \"source_ref\": \"personal-agent:run:73698c1a-612d-456d-b178-6286ae9ab9cd\", \"evidence_ref\": null, \"schema_version\": \"shared-agent-memory-v2\", \"subtype\": \"research_claim\", \"run_id\": \"73698c1a-612d-456d-b178-6286ae9ab9cd\", \"task_id\": null, \"url\": null, \"domain\": null, \"origin_agent\": \"personal-agent\", \"metadata\": {\"claim_status\": \"verified\", \"schema\": \"shared-agent-memory-v2\", \"subtype\": \"research_claim\"}, \"embedding\": [0.5072105445817836, 0.48745896071888833, 0.43656064845681225, 0.38768813966785354, 0.329952740684006, 0.20587227795556168, 0.11015306385076179, 0.02912092492606346]}, \"score\": 0.5295540797794359, \"score_breakdown\": {\"facet\": 0.0, \"lexical\": 1.0, \"semantic\": 0.9476938651962394, \"confidence\": 0.99, \"freshness\": 0.7}, \"matched_scope\": \"global\", \"evidence_ref\": null, \"explanation\": \"facets=0.00 lexical=1.00 semantic=0.95 confidence=0.99 freshness=0.70\"}]}\n\n[Showing lines 14-15 of 15 (50.0KB limit). 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Credit packages**\\n- Venta de credits prepago desde el negocio/storefront. [S7](#ref-s7)[S10](#ref-s10)[S11](#ref-s11)\\n- Precio, numero de credits, expiracion, purchase limit, time-limited sales, descripcion. [S11](#ref-s11)\\n- Credits venue/trainer-specific, no cross-merchant. [S7](#ref-s7)[S11](#ref-s11)\\n- Hoy documentados para Classes & Events; client help los presenta tambien para classes/events/courses. [S7](#ref-s7)[S11](#ref-s11)\\n\\n**Use cases**\\n- Session passes, bundles, loyalty/prepay, promo windows, member-only offers.\\n- Cobrar por adelantado y reducir friccion en repeat bookings.\\n\\n### 6. Payments / billing / invoicing\\n\\n**Features confirmadas**\\n- Online payments con Stripe o Mollie; Matchable cobra 1.8% platform fee + processing fees del PSP. [S3](#ref-s3)\\n- Aceptar pagos en 36+ paises. [S3](#ref-s3)\\n- Payment method obligatorio antes de aceptar bookings. [S8](#ref-s8)\\n- Invoices automaticas al cliente; visibles en \\\"My invoices\\\". [S3](#ref-s3)[S7](#ref-s7)[S8](#ref-s8)\\n- Pagos van directo al venue/trainer segun client-facing copy. [S7](#ref-s7)[S17](#ref-s17)\\n- Manual bookings gratis. [S3](#ref-s3)\\n- Manual payment links e in-person payments aparecen como coming soon en pricing. [S3](#ref-s3)\\n\\n**Use cases soportados**\\n- Cobro online nativo sin subscription fee.\\n- Operar mercados internacionales con PSPs estandar.\\n- Emitir comprobantes automaticamente y dar self-serve invoice access al cliente.\\n\\n### 7. Storefront / distribution / embedded commerce\\n\\n**Features confirmadas**\\n- Storefront publico agrega todo lo publicado: private sessions, classes, courses, events, credit packages. [S10](#ref-s10)\\n- Shareable link desde manager; puede usarse en Instagram bio, links directos, etc. [S10](#ref-s10)\\n- Booking widget para incrustar oferta propia en website. [S3](#ref-s3)[S10](#ref-s10)\\n- Marketplace opcional sin fee adicional por descubrir nuevos clientes via marketplace. [S3](#ref-s3)\\n\\n**Use cases soportados**\\n- Negocio sin web propia que usa Matchable como storefront principal.\\n- Negocio con web propia que embebe widget pero usa Matchable para checkout/ops.\\n- Clubs/academies que combinan demanda organica marketplace + trafico propio.\\n\\n### 8. Trainer operations\\n\\n**Features confirmadas**\\n- Crear trainer con nombre, email, funcion/categoria. [S8](#ref-s8)\\n- Asignar trainer a servicios. [S11](#ref-s11)\\n- Gestionar bookings del trainer desde manager. [S11](#ref-s11)\\n- Primary schedule y temporary schedule del trainer. [S11](#ref-s11)\\n- Holidays que override availability y muestran indisponibilidad al cliente. [S11](#ref-s11)\\n- Trainer app con home, weekly schedule, create training, availability, holidays y profile edit. [S11](#ref-s11)\\n- Release note del trainer app documenta manejo entre multiple venues. [S18](#ref-s18)\\n\\n**Use cases soportados**\\n- Coach independiente que se autogestiona.\\n- Academy con multiples coaches y horarios complejos.\\n- Coach itinerante entre varias sedes.\\n\\n### 9. Venue / academy operations\\n\\n**Features confirmadas**\\n- Venue schedule con opening hours, primary schedule y temporary schedule que overridea al principal. [S8](#ref-s8)\\n- Schedule/Calendar operativo donde conviven trainings, classes y courses. [S9](#ref-s9)[S11](#ref-s11)\\n- Day view / week view y quick booking overview. [S9](#ref-s9)\\n- Crear booking manualmente desde manager. [S9](#ref-s9)[S11](#ref-s11)\\n- Multi-venue management y unlimited manager seats para business tier segun pricing. [S3](#ref-s3)\\n\\n**Use cases soportados**\\n- Operar aperturas estacionales o holiday schedules.\\n- Ver conflictos y capacidad del dia en una sola vista.\\n- Administrar academies o grupos con varias sedes y varios managers.\\n\\n### 10. Client CRM / customer operations\\n\\n**Features confirmadas**\\n- Client database con nombre, email, phone. [S11](#ref-s11)\\n- Add Client manual. [S11](#ref-s11)\\n- View profile, add booking y WhatsApp contact desde perfil del cliente. [S11](#ref-s11)\\n- Ver booking history y filtros. [S11](#ref-s11)\\n- En cursos: payment status, payment type, revenue, add guest/manual participant, refund handling. [S11](#ref-s11)\\n\\n**Use cases soportados**\\n- Staff de front desk o academy manager que agrega walk-ins/manual signups.\\n- Seguimiento de recurrentes y soporte posventa.\\n- Gestion de cohortes y refunds en programas.\\n\\n### 11. Promotions / discounts / commercial tooling\\n\\n**Features confirmadas**\\n- Discount codes y vouchers en marketplace checkout. [S6](#ref-s6)\\n- Promotions y vouchers en business homepage. [S2](#ref-s2)\\n- Promotion tools listed as free in pricing. [S3](#ref-s3)\\n- Credit packages con time-limited sales. [S11](#ref-s11)\\n\\n**Use cases soportados**\\n- Acquisition offers, referral codes, Black Friday/new year campaigns.\\n- Prepaid bundles para aumentar retention y cashflow.\\n\\n### 12. Integrations / ecosystem\\n\\n**A. Court-booking / club systems**\\n- MATCHi: reserva cancha automaticamente al reservar private training; sync real-time; evita double-bookings; oculta slots sin court disponible. [S4](#ref-s4)[S12](#ref-s12)\\n- Matchpoint: auto-reserva court, sync availability y updates, cubre tennis/padel/beach tennis/pickleball. [S15](#ref-s15)\\n- KNLTB Meet & Play: auto court reservation y visibilidad de sesiones en KNLTB app. [S16](#ref-s16)\\n- Overview tambien lista AnyBuddy y Taykus con el mismo patron de auto court booking. [S4](#ref-s4)\\n\\n**Use cases**\\n- Club que quiere vender coaching sin hacer booking manual de cancha.\\n- Academia dentro de club que necesita respetar inventario real de courts.\\n- Ecosistemas federativos/club software donde Matchable actua como capa comercial.\\n\\n**Spec para copiar:** Ver la secci\\u00f3n [Ballbox \\u00d7 ATC](#ballbox-atc-spec-de-integraci-n) al final de este documento para el spec detallado de integraci\\u00f3n tipo MATCHi/Matchpoint/KNLTB, adaptado para Ballbox \\u00d7 ATC.\\n\\n**B. Calendar**\\n- Google Calendar integration page promete two-way sync: bloquear tiempo en Google bloquea disponibilidad en Matchable; cambios en Matchable actualizan Calendar. [S13](#ref-s13)\\n- Help article documenta al menos una suscripcion por URL/ICS a Google Calendar. [S11](#ref-s11)\\n\\n**Use cases**\\n- Coach que mezcla agenda personal y comercial.\\n- Reducir no-shows y overlaps.\\n\\n**Nota critica**\\n- Publicamente hay tension entre marketing (two-way sync) y help (ICS subscription, que normalmente es one-way). Conviene tratar el alcance exacto como \\\"publicamente reclamado, no completamente verificado\\\". [S13](#ref-s13)[S11](#ref-s11)\\n\\n**C. Digital sessions**\\n- Google Meet integration agrega links automaticamente a cada booking. [S14](#ref-s14)\\n- Business homepage y pricing listan digital sessions como capability. [S2](#ref-s2)[S3](#ref-s3)\\n\\n**Use cases**\\n- Remote coaching, video review, nutrition coaching, virtual classes.\\n\\n**D. Adjacent value-add tools**\\n- BenFit: entrenadores conectados con soporte nutricional. [S4](#ref-s4)\\n- PadelFast: conectar training clients con torneos/competiciones. [S4](#ref-s4)\\n\\n**Use cases**\\n- Extender ARPU y experiencia mas alla del booking.\\n- Convertir academia en funnel hacia competicion o nutrition upsell.\\n\\n### 13. Mobile products\\n\\n**Client app**\\n- Book next workout, view booked sessions, location and services, no signup/subscription fee. [S7](#ref-s7)\\n- Release notes: localization, courses, credits, top categories, storefront filters/organized overview, support for unplanned sessions. [S17](#ref-s17)\\n\\n**Trainer app**\\n- Daily/weekly schedule, reviews, connected venues, create training, availability, holidays, profile editing. [S11](#ref-s11)\\n- Release notes: manage bookings/schedules/holidays between multiple venues. [S18](#ref-s18)\\n\\n**Use cases soportados**\\n- Consumo movil para clientes repetitivos.\\n- Coach on-court que no quiere operar desde desktop.\\n\\n### 14. Support / onboarding / enablement\\n\\n**Features confirmadas**\\n- Free onboarding y full customer support segun FAQ de business homepage. [S2](#ref-s2)\\n- Chat support desde manager, email support <24h, knowledge base. [S3](#ref-s3)\\n- Help center estructurado para clients, trainer app y business manager. [S5](#ref-s5)\\n\\n**Use cases soportados**\\n- SMB onboarding rapido.\\n- Soporte operativo y autoservicio documental.\\n\\n### 15. Explicit \\\"coming soon\\\" / weakly evidenced areas\\n\\n**Publicamente listados como coming soon o ambiguos**\\n- Courses en pricing (aunque help center y app release notes los muestran activos). [S3](#ref-s3)[S11](#ref-s11)[S17](#ref-s17)\\n- Insights. [S3](#ref-s3)\\n- Manual payment links. [S3](#ref-s3)\\n- In-person payments. [S3](#ref-s3)\\n- Google Analytics y Meta Pixel add-ons. [S3](#ref-s3)\\n- Recruitment en pricing aparece sin detalle publico util. [S3](#ref-s3)\\n\\n**Lectura**\\n- No asumir cobertura plena ni GA/Pixel productizados a todos los clientes.\\n- Courses/credits/storefront parecen en rollout mas avanzado que pricing copy.\\n\\n## Mapa de casos de uso por persona\\n\\n### Cliente casual\\n- Encontrar un coach/venue por deporte.\\n- Comprar un 1:1 o clase puntual.\\n- Elegir attendees/duracion.\\n- Aplicar voucher.\\n- Pagar y reagendar si hace falta. [S6](#ref-s6)[S7](#ref-s7)\\n\\n### Cliente recurrente\\n- Comprar packages o credits.\\n- Dejar sesiones unplanned y consumirlas despues.\\n- Seguir usando el mismo trainer/venue via storefront/app. [S5](#ref-s5)[S7](#ref-s7)[S10](#ref-s10)\\n\\n### Alumno de programa\\n- Inscribirse a course multi-semana.\\n- Ver schedule completo.\\n- Entrar tarde con Smart Courses si quedan sesiones. [S11](#ref-s11)\\n\\n### Trainer independiente\\n- Publicar perfil y disponibilidad.\\n- Vender privados, clases y online sessions.\\n- Gestionar agenda/holidays desde app.\\n- Usar Google Calendar para coordinar vida personal + trabajo. [S2](#ref-s2)[S11](#ref-s11)[S13](#ref-s13)[S14](#ref-s14)\\n\\n### Venue/academy\\n- Publicar oferta completa en storefront.\\n- Gestionar trainers, bookings y clientes.\\n- Vender credits/cursos/eventos.\\n- Cobrar online e invoicing automatico. [S3](#ref-s3)[S10](#ref-s10)[S11](#ref-s11)\\n\\n### Racquet club integrado\\n- Mantener MATCHi/Matchpoint/KNLTB como sistema de courts.\\n- Usar Matchable para captar y vender coaching.\\n- Evitar doble reserva de cancha. [S12](#ref-s12)[S15](#ref-s15)[S16](#ref-s16)\\n\\n### Operador multi-sede\\n- Administrar varias sedes y multiples managers.\\n- Unificar operacion con mismos flujos de booking/clients/trainers. [S3](#ref-s3)\\n\\n## JTBD map\\n\\n**JTBD: \\\"quiero entrenar esta semana con alguien bueno\\\"**\\n- Search marketplace\\n- Trainer profiles\\n- Reviews\\n- Booking + planning\\n- Reschedule/cancel [S1](#ref-s1)[S6](#ref-s6)[S7](#ref-s7)[S19](#ref-s19)\\n\\n**JTBD: \\\"quiero vender mi coaching sin perseguir pagos ni whatsapps\\\"**\\n- Storefront\\n- Online payments\\n- Packages/credits\\n- Automated invoices\\n- Trainer app [S3](#ref-s3)[S10](#ref-s10)[S11](#ref-s11)\\n\\n**JTBD: \\\"quiero correr una academia o programa estructurado\\\"**\\n- Courses\\n- Participant limits\\n- Auto-cancel\\n- Smart Courses\\n- Participant management [S11](#ref-s11)\\n\\n**JTBD: \\\"quiero monetizar horas valle o crear comunidad\\\"**\\n- Classes\\n- Events\\n- Credits/promotions\\n- Public marketplace distribution [S2](#ref-s2)[S3](#ref-s3)[S10](#ref-s10)\\n\\n**JTBD: \\\"quiero que vender coaching no rompa mi operacion de club\\\"**\\n- Court-booking integrations\\n- Availability sync\\n- Booking statuses\\n- Multi-venue / manager operations [S3](#ref-s3)[S9](#ref-s9)[S12](#ref-s12)[S15](#ref-s15)[S16](#ref-s16)\\n\\n**JTBD: \\\"quiero ofrecer coaching online tambien\\\"**\\n- Digital sessions\\n- Google Meet links\\n- Unified profile for in-person + online [S2](#ref-s2)[S14](#ref-s14)\\n\\n## Hallazgos estrategicos\\n\\n1. Matchable parece mas fuerte cuando el negocio vende no solo privados sino un mix de privados + clases + cursos + credits + eventos desde storefront. La plataforma ya esta modelada para ese portfolio, no solo para appointment booking simple. [S2](#ref-s2)[S3](#ref-s3)[S10](#ref-s10)[S11](#ref-s11)\\n2. El wedge mas diferenciador en racquet sports es academy automation conectada a court inventory externo. Eso resuelve un problema operativo real que marketplaces generalistas no resuelven. [S12](#ref-s12)[S15](#ref-s15)[S16](#ref-s16)\\n3. La company esta empujando una evolucion desde \\\"trainer booking\\\" a \\\"sport commerce OS ligero\\\": storefront, widget, apps, credits, courses, integrations, manager. [S2](#ref-s2)[S3](#ref-s3)[S10](#ref-s10)[S17](#ref-s17)[S18](#ref-s18)\\n4. El posicionamiento geografico/publico es multi-country, pero la fuerza de las integraciones y ejemplos visibles sesga hacia Europa y racquet/federation ecosystems. [S12](#ref-s12)[S15](#ref-s15)[S16](#ref-s16)\\n\\n## Riesgos, limites y lectura critica\\n\\n- Parte del marketplace publico devuelve `0 results` sin contexto o depende de query/location; por tanto el mapeo se centra en capacidades de producto confirmadas, no en catalogo disponible en cada region. [S20](#ref-s20)[S21](#ref-s21)\\n- Hay copy inconsistente entre pricing y help center/app release notes sobre courses, credits e insights. No conviene asumir rollout uniforme por cliente/mercado. [S3](#ref-s3)[S11](#ref-s11)[S17](#ref-s17)\\n- La profundidad del BI/reporting no es visible publicamente; \\\"insights\\\" aparece, pero sin detalle funcional verificable. [S3](#ref-s3)\\n- La integracion de Google Calendar se describe como two-way en marketing, pero el help publico solo verifica una integracion via URL/ICS; tratar la sincronizacion bidireccional exacta como probable pero no cerrada. [S13](#ref-s13)[S11](#ref-s11)\\n- No pude verificar exhaustivamente todas las venue pages publicas desde muestra puntual; algunas URLs del sitemap no devolvieron contenido util. [S20](#ref-s20)\\n\\n## Fuentes primarias usadas\\n\\n- [S1] Matchable consumer homepage: https://www.matchable.io/\\n- [S2] Matchable business homepage: https://business.matchable.io/\\n- [S3] Matchable pricing: https://matchable.io/business/pricing\\n- [S4] Matchable integrations overview: https://matchable.io/business/integrations\\n- [S5] Matchable help center index: https://help.matchable.io/en/\\n- [S6] How to book a training: https://help.matchable.io/en/articles/10-how-to-book-a-training\\n- [S7] Client app / credits / FAQ / invoices help pages: https://help.matchable.io/en/articles/15-client-app-iosandroid ; https://help.matchable.io/en/articles/23-how-to-use-credits ; https://help.matchable.io/en/articles/12-faq ; https://help.matchable.io/en/articles/39-invoice-for-my-purchases\\n- [S8] Quick-start manager setup pages: https://help.matchable.io/en/articles/1-add-a-payment-method ; https://help.matchable.io/en/articles/2-create-your-first-class-or-event ; https://help.matchable.io/en/articles/3-create-your-first-private-service ; https://help.matchable.io/en/articles/4-how-to-edit-your-trainer-profile ; https://help.matchable.io/en/articles/5-how-to-edit-your-venue-profile ; https://help.matchable.io/en/articles/6-edit-your-availability ; https://help.matchable.io/en/articles/7-add-your-venue-schedule\\n- [S9] Manager operations pages: https://help.matchable.io/en/articles/17-manage-trainings-and-classes ; https://help.matchable.io/en/articles/18-manage-your-trainers-schedules ; https://help.matchable.io/en/articles/19-manage-your-clients ; https://help.matchable.io/en/articles/22-manage-credits\\n- [S10] Storefront guide: https://help.matchable.io/en/articles/38-getting-started-with-your-storefront\\n- [S11] Courses + trainer app help pages: https://help.matchable.io/en/articles/13-getting-started-with-the-matchable-trainer-app ; https://help.matchable.io/en/articles/14-adding-and-managing-your-holidays ; https://help.matchable.io/en/articles/41-getting-started-with-courses ; https://help.matchable.io/en/articles/42-smart-courses-feature ; https://help.matchable.io/en/articles/43-set-up-a-course-page-template ; https://help.matchable.io/en/articles/44-create-and-manage-your-course-schedule ; https://help.matchable.io/en/articles/45-viewing-courses-in-the-calendar ; https://help.matchable.io/en/articles/46-manage-course-participants\\n- [S12] MATCHi integration: https://matchable.io/business/integration/matchi\\n- [S13] Google Calendar integration: https://matchable.io/business/integration/google-calendar\\n- [S14] Google Meet integration: https://matchable.io/business/integration/google-meet\\n- [S15] Matchpoint integration: https://matchable.io/business/integration/matchpoint\\n- [S16] KNLTB Meet & Play integration: https://matchable.io/business/integration/knltb-meet-play\\n- [S17] Client app store pages / release notes: https://apps.apple.com/nl/app/matchable-book-your-training/id6742325816 ; https://play.google.com/store/apps/details?id=com.getmatchable.client\\n- [S18] Trainer app store pages / release notes: https://apps.apple.com/nl/app/matchable-for-trainers/id6468798694 ; https://play.google.com/store/apps/details?id=com.getmatchable.app\\n- [S19] Sample trainer page: https://matchable.io/trainers/alex-hosp\\n- [S20] Matchable sitemap: https://matchable.io/sitemap.xml\\n- [S21] Explore / Activities public pages: https://matchable.io/explore ; https://matchable.io/activities\\n\\n\\n- [S22] Spec Ballbox \\u00d7 ATC: secci\\u00f3n 16 de este documento (Spec de integraci\\u00f3n para copiar patr\\u00f3n MATCHi/Matchpoint/KNLTB en Ballbox)\\n\\n## Ballbox \\u00d7 ATC \\u2014 Spec de Integraci\\u00f3n\\n\\n*Spec de integraci\\u00f3n para copiar el patr\\u00f3n de MATCHi/Matchpoint/KNLTB en Ballbox.*\\n\\n---\\n\\n### 1. Contexto de negocio\\n\\n**Problema que resuelve**\\n\\nUn club de tennis/padel usa ATC como su sistema de gesti\\u00f3n de canchas (reservas, pagos, inventario). Ballbox quiere vender trainings y clases de sus trainers en ese club. El riesgo es vender un entrenamiento cuando la cancha no est\\u00e1 disponible, o duplicar reservas.\\n\\n**Soluci\\u00f3n**\\n\\nCuando alguien reserva un training en Ballbox, el sistema autom\\u00e1ticamente verifica disponibilidad y reserva la cancha en ATC al mismo tiempo. Si el club cancela o modifica la reserva en ATC, Ballbox se entera y act\\u00faa en consecuencia.\\n\\n**Modelo de relaci\\u00f3n**\\n\\n- ATC es el **source of truth** para inventario de canchas\\n- Ballbox es el **canal de venta** de trainings\\n- Ambas plataformas mantienen sync en tiempo real\\n\\n---\\n\\n### 2. Descripci\\u00f3n funcional del flujo\\n\\n#### 2.1. Un cliente busca un entrenamiento\\n\\nEl cliente ve en Ballbox los trainers disponibles de un club. Al seleccionar fecha y horario, Ballbox consulta a ATC qu\\u00e9 canchas est\\u00e1n libres en ese momento. Solo muestra opciones disponibles.\\n\\n#### 2.2. El cliente confirma la reserva\\n\\nCuando el cliente paga o confirma el training en Ballbox:\\n1. Ballbox registra la reserva del training para el trainer\\n2. Simult\\u00e1neamente, Ballbox reserva la cancha en ATC para ese horario\\n3. Ambas reservas quedan linkeadas por un identificador compartido\\n4. Si la cancha no se puede reservar (ya se ocup\\u00f3 entre consulta y confirmaci\\u00f3n), Ballbox informa al cliente y sugiere otro horario\\n\\n#### 2.3. El cliente o el trainer cancela desde Ballbox\\n\\nBallbox cancela la reserva del training y, al mismo tiempo, libera la cancha en ATC.\\n\\n#### 2.4. El club cancela o modifica la reserva desde ATC\\n\\nATC notifica a Ballbox del cambio. Ballbox:\\n- Informa al cliente/trainer\\n- Ofrece reagendar o cancelar sin costo\\n- Marca la reserva como afectada\\n\\n#### 2.5. El club tiene la cancha indisponible (mantenimiento, evento)\\n\\nATC informa a Ballbox. Ballbox marca esas horas como no disponibles para nuevos bookings de trainings.\\n\\n---\\n\\n### 3. Escenarios soportados\\n\\n| Escenario | Comportamiento |\\n|-----------|----------------|\\n| Training reservado en Ballbox, club cierra la cancha | Ballbox notifica al cliente, ofrece reagendar |\\n| Trainer cancela training en Ballbox | La cancha se libera en ATC autom\\u00e1ticamente |\\n| Cliente reserva training, la cancha se ocupa antes de confirmar | Ballbox muestra horarios alternativos |\\n| Ballbox cae durante la reserva | La transacci\\u00f3n se deshace; la cancha en ATC no queda reservada |\\n| ATC tiene mantenimiento | Ballbox lo detecta y muestra \\\"canchas temporalmente no disponibles\\\" |\\n\\n---\\n\\n### 4. Definici\\u00f3n de responsabilidades\\n\\n**Ballbox se encarga de:**\\n- Mostrar la oferta de trainings y trainers\\n- Gestionar el checkout, pago y comunicaci\\u00f3n con el cliente\\n- Mantener el estado del training (confirmado, cancelado, reagendado)\\n- Notificar al cliente ante cambios en disponibilidad de cancha\\n- Persistir la referencia cruzada entre booking de training y booking de cancha\\n\\n**ATC se encarga de:**\\n- Mantener el inventario actualizado de canchas por club\\n- Gestionar reservas de cancha (crear, cancelar, consultar disponibilidad)\\n- Procesar pagos de alquiler de canasta si aplica\\n- Notificar a Ballbox ante cambios en reservas de cancha realizados fuera de Ballbox\\n- Proveer soporte t\\u00e9cnico para la integraci\\u00f3n\\n\\n---\\n\\n### 5. Especificaci\\u00f3n t\\u00e9cnica\\n\\n*Requiere que ATC expose los siguientes endpoints (si no existen, se arman en coordinaci\\u00f3n con ATC).*\\n\\n#### 5.1. Consultar disponibilidad\\n\\n```\\nGET /api/v1/clubs/{club_id}/availability?sport={sport}&date={YYYY-MM-DD}\\n\\nRespuesta:\\n{\\n \\\"date\\\": \\\"2026-03-25\\\",\\n \\\"slots\\\": [\\n {\\n \\\"court_id\\\": \\\"court-1\\\",\\n \\\"court_name\\\": \\\"Cancha 1\\\",\\n \\\"time\\\": \\\"14:00\\\",\\n \\\"duration_minutes\\\": 60,\\n \\\"available\\\": true\\n },\\n {\\n \\\"court_id\\\": \\\"court-1\\\",\\n \\\"time\\\": \\\"15:00\\\",\\n \\\"available\\\": false,\\n \\\"reason\\\": \\\"booked\\\"\\n }\\n ]\\n}\\n```\\n\\n#### 5.2. Reservar cancha\\n\\n```\\nPOST /api/v1/bookings\\n{\\n \\\"club_id\\\": \\\"club-123\\\",\\n \\\"court_id\\\": \\\"court-456\\\",\\n \\\"datetime\\\": \\\"2026-03-25T14:00:00\\\",\\n \\\"duration_minutes\\\": 60,\\n \\\"client_name\\\": \\\"Juan P\\u00e9rez\\\",\\n \\\"client_phone\\\": \\\"+5491112345678\\\",\\n \\\"external_ref\\\": \\\"ballbox-bk-789\\\",\\n \\\"notes\\\": \\\"Training Ballbox\\\"\\n}\\n\\nRespuesta:\\n{\\n \\\"booking_id\\\": \\\"atc-bk-111\\\",\\n \\\"status\\\": \\\"confirmed\\\",\\n \\\"court\\\": \\\"Cancha 1\\\",\\n \\\"datetime\\\": \\\"2026-03-25T14:00:00\\\"\\n}\\n```\\n\\n#### 5.3. Cancelar reserva de cancha\\n\\n```\\nDELETE /api/v1/bookings/{atc_booking_id}?reason={reason}\\n\\nRespuesta:\\n{\\n \\\"booking_id\\\": \\\"atc-bk-111\\\",\\n \\\"status\\\": \\\"cancelled\\\"\\n}\\n```\\n\\n#### 5.4. Consultar estado de una reserva\\n\\n```\\nGET /api/v1/bookings/{atc_booking_id}\\n\\nRespuesta:\\n{\\n \\\"booking_id\\\": \\\"atc-bk-111\\\",\\n \\\"status\\\": \\\"confirmed\\\" | \\\"cancelled\\\" | \\\"completed\\\",\\n \\\"court_id\\\": \\\"court-456\\\",\\n \\\"datetime\\\": \\\"2026-03-25T14:00:00\\\"\\n}\\n```\\n\\n#### 5.5. Webhook \\u2014 Notificaciones desde ATC\\n\\nBallbox expone un endpoint que ATC llama ante cambios:\\n\\n```\\nPOST /ballbox/webhooks/atc\\n\\nPayload:\\n{\\n \\\"event\\\": \\\"booking_cancelled\\\" | \\\"court_unavailable\\\" | \\\"maintenance\\\",\\n \\\"atc_booking_id\\\": \\\"atc-bk-111\\\",\\n \\\"external_ref\\\": \\\"ballbox-bk-789\\\",\\n \\\"reason\\\": \\\"club_cancelled\\\" | \\\"court_blocked\\\",\\n \\\"affected_slots\\\": [\\\"2026-03-25T14:00:00\\\"]\\n}\\n```\\n\\nBallbox responde con `200 OK` y procesa el evento.\\n\\n#### 5.6. Autenticaci\\u00f3n\\n\\n- ATC provee `api_key` por club\\n- Ballbox env\\u00eda `Authorization: Bearer {api_key}` en cada request\\n- Ballbox expone webhook con firma HMAC para verificar origen\\n\\n---\\n\\n### 6. Configuraci\\u00f3n por club\\n\\nPara activar la integraci\\u00f3n, cada club configura en Ballbox:\\n\\n| Campo | Descripci\\u00f3n |\\n|-------|-------------|\\n| `atc_club_id` | Identificador del club en ATC |\\n| `atc_api_key` | Clave de API entregada por ATC |\\n| `sports_enabled` | Lista de deportes habilitados (tennis, padel, etc.) |\\n| `default_duration_minutes` | Duraci\\u00f3n por defecto de un training |\\n\\n---\\n\\n### 7. Roadmap de implementaci\\u00f3n sugerida\\n\\n**Fase 1 \\u2014 MVP (4-6 semanas)**\\n- Disponibilidad consulta\\n- Reserva de cancha\\n- Cancelaci\\u00f3n desde Ballbox\\n- Sincronizaci\\u00f3n unidireccional (Ballbox \\u2192 ATC)\\n\\n**Fase 2 \\u2014 Bidireccional (2-3 semanas)**\\n- Webhooks desde ATC\\n- Notificaciones al cliente\\n- Manejo de cancelaciones externas\\n\\n**Fase 3 \\u2014 Robustez (2 semanas)**\\n- Retry con backoff ante fallos de ATC\\n- Cola de sincronizaci\\u00f3n para fallos\\n- Panel de estado de integraci\\u00f3n por club\\n\\n---\\n\\n*Spec elaborado el 24 de marzo de 2026, basado en el patr\\u00f3n de integraci\\u00f3n de Matchable con MATCHi/Matchpoint/KNLTB.*\\n\\n## Fecha de corte\\n\\nInvestigacion basada en fuentes publicas verificadas disponibles el 24 de marzo de 2026.\\n\", \"format\": \"md\", \"status\": \"active\", \"source_ref\": \"personal-agent:run:a1ad721a-bcbc-473e-806d-0793fbbfaac2\", \"created_at\": \"2026-03-24T14:26:24.158968+00:00\", \"updated_at\": \"2026-03-24T15:39:47.195210+00:00\", \"metadata\": {\"report_type\": \"feature-use-case-map\", \"run_id\": \"a1ad721a-bcbc-473e-806d-0793fbbfaac2\", \"topic\": \"matchable\"}}, {\"id\": \"art_1cb15ded78c141abbfc2abd40a45e776\", \"task_id\": \"task_c20a048b387d4513ac38cf0e67bf83cd\", \"artifact_type\": \"delegation_note\", \"title\": \"Handoff personal-agent -> ai-dev-workflow\", \"content\": \"{\\\"completed_at\\\": \\\"2026-03-16T15:46:39.259060+00:00\\\", \\\"error_message\\\": null, \\\"from_agent\\\": \\\"personal-agent\\\", \\\"payload\\\": {\\\"evidence\\\": [\\\"personal_agent/runtime.py:451-492\\\", \\\"personal_agent/runtime.py:297-300\\\", \\\"tests/test_personal.py:909-914\\\", \\\"tests/test_personal.py:934-947\\\", \\\"docs/system-v1.md:114-115\\\"], \\\"goal\\\": \\\"Make ai-dev-workflow handoffs non-terminal on acceptance and gate parent completion on explicit downstream terminal execution results.\\\", \\\"repo\\\": \\\"personal-agent\\\", \\\"requirements\\\": [\\\"If a task decision creates an ai-dev-workflow handoff, do not mark the parent task completed yet.\\\", \\\"Model accepted as non-terminal for ai-dev-workflow handoffs.\\\", \\\"Require explicit downstream terminal result before handoff completion and parent-task completion.\\\", \\\"Update or add tests covering parent-task gating and accepted-vs-terminal handoff states.\\\", \\\"Update docs to remove the 'accepted JSON' success contract.\\\"], \\\"scope\\\": [\\\"personal_agent/runtime.py\\\", \\\"tests/test_personal.py\\\", \\\"docs/system-v1.md\\\", \\\"README.md\\\"], \\\"task_id\\\": \\\"task_c20a048b387d4513ac38cf0e67bf83cd\\\"}, \\\"reason\\\": \\\"personal-agent currently marks parent tasks complete on handoff acceptance instead of downstream execution result\\\", \\\"result_summary\\\": \\\"Deprecated durable ai-dev-workflow handoff. Re-run this work through the code subagent.\\\", \\\"status\\\": \\\"failed\\\", \\\"to_agent\\\": \\\"ai-dev-workflow\\\"}\", \"format\": \"json\", \"status\": \"active\", \"source_ref\": \"migration:v2\", \"created_at\": \"2026-03-24T14:18:16.802651+00:00\", \"updated_at\": \"2026-03-24T14:18:16.802652+00:00\", \"metadata\": {}}, {\"id\": \"art_a6773502ed4d46d09eed3e41081c0c68\", \"task_id\": \"task_2111a366cf73412eadb396acc1c2d004\", \"artifact_type\": \"delegation_note\", \"title\": \"Handoff personal-agent -> ai-dev-workflow\", \"content\": \"{\\\"completed_at\\\": \\\"2026-03-16T15:46:39.272531+00:00\\\", \\\"error_message\\\": null, \\\"from_agent\\\": \\\"personal-agent\\\", \\\"payload\\\": {\\\"expected_artifacts\\\": [\\\"report\\\"], \\\"idempotency_key\\\": \\\"task_2111a366cf73412eadb396acc1c2d004\\\", \\\"intent\\\": \\\"fix in http://127.0.0.1:8082/ UI, in the \\\\\\\"blocked tasks\\\\\\\" input, it looses focus after 1-2 seconds. Doesnt happen for ex on \\\\\\\"NEW INTAKE\\\\\\\"'s input\\\", \\\"route\\\": {\\\"codex_instruction\\\": \\\"Use Python as the shell entrypoint for persistence, approvals, auditability, and shared DB state; reproduce on http://127.0.0.1:8082/, inspect the blocked-tasks input vs NEW INTAKE input render/update paths, fix the remount or state-reset causing blur, then run full repo checks.\\\", \\\"delegation_target\\\": \\\"ai-dev-workflow\\\", \\\"planning_source\\\": \\\"codex\\\", \\\"primary_agent\\\": \\\"code\\\", \\\"reason\\\": \\\"UI focus-loss bug in local app; repo debugging and fix first, with personal-agent context kept for stateful workflow.\\\", \\\"secondary_agent\\\": \\\"personal\\\"}, \\\"task_id\\\": \\\"task_2111a366cf73412eadb396acc1c2d004\\\"}, \\\"reason\\\": \\\"UI focus-loss bug in local app; repo debugging and fix first, with personal-agent context kept for stateful workflow.\\\", \\\"result_summary\\\": \\\"Deprecated durable ai-dev-workflow handoff. Re-run this work through the code subagent.\\\", \\\"status\\\": \\\"failed\\\", \\\"to_agent\\\": \\\"ai-dev-workflow\\\"}\", \"format\": \"json\", \"status\": \"active\", \"source_ref\": \"migration:v2\", \"created_at\": \"2026-03-24T14:18:16.802632+00:00\", \"updated_at\": \"2026-03-24T14:18:16.802633+00:00\", \"metadata\": {}}, {\"id\": \"art_8dea76b1a5d44a6f9384abeb5a80b722\", \"task_id\": \"task_fd7cf4ad58e041da821c13d446f27996\", \"artifact_type\": \"delegation_note\", \"title\": \"Handoff personal-agent -> ai-dev-workflow\", \"content\": \"{\\\"completed_at\\\": \\\"2026-03-16T15:46:39.280464+00:00\\\", \\\"error_message\\\": null, \\\"from_agent\\\": \\\"personal-agent\\\", \\\"payload\\\": {\\\"expected_artifacts\\\": [\\\"report\\\"], \\\"idempotency_key\\\": \\\"task_fd7cf4ad58e041da821c13d446f27996\\\", \\\"intent\\\": \\\"fix in http://127.0.0.1:8082/ UI, in the \\\\\\\"blocked tasks\\\\\\\" input, it looses focus after 1-2 seconds. Doesnt happen for ex on \\\\\\\"NEW INTAKE\\\\\\\"'s input\\\", \\\"route\\\": {\\\"codex_instruction\\\": \\\"Use Python entrypoints/scripts for any persistence, approvals, and audit logging; reproduce the focus loss at http://127.0.0.1:8082/, inspect the blocked-tasks input path versus NEW INTAKE, fix the rerender/state-reset cause, then run repo checks and capture evidence.\\\", \\\"delegation_target\\\": \\\"ai-dev-workflow\\\", \\\"planning_source\\\": \\\"codex\\\", \\\"primary_agent\\\": \\\"code\\\", \\\"reason\\\": \\\"Local UI focus-loss bug in repo; needs code debugging with brief coordination context.\\\", \\\"secondary_agent\\\": \\\"personal\\\"}, \\\"task_id\\\": \\\"task_fd7cf4ad58e041da821c13d446f27996\\\"}, \\\"reason\\\": \\\"Local UI focus-loss bug in repo; needs code debugging with brief coordination context.\\\", \\\"result_summary\\\": \\\"Deprecated durable ai-dev-workflow handoff. Re-run this work through the code subagent.\\\", \\\"status\\\": \\\"failed\\\", \\\"to_agent\\\": \\\"ai-dev-workflow\\\"}\", \"format\": \"json\", \"status\": \"active\", \"source_ref\": \"migration:v2\", \"created_at\": \"2026-03-24T14:18:16.802613+00:00\", \"updated_at\": \"2026-03-24T14:18:16.802614+00:00\", \"metadata\": {}}, {\"id\": \"art_b805be79c68f41eba8779c2c32f8eba4\", \"task_id\": \"task_3f5eaf670f4749a18aa73281d5ab1722\", \"artifact_type\": \"delegation_note\", \"title\": \"Handoff personal-agent -> ai-dev-workflow\", \"content\": \"{\\\"completed_at\\\": \\\"2026-03-16T15:46:39.283908+00:00\\\", \\\"error_message\\\": null, \\\"from_agent\\\": \\\"personal-agent\\\", \\\"payload\\\": {\\\"repo\\\": \\\"personal-agent\\\", \\\"scope\\\": [\\\"recover stale running task runs after daemon restart\\\", \\\"make scripts/daemon-8082.sh process-safe and health-checked\\\", \\\"reconcile child subtasks when parent deliverable completes\\\", \\\"add explicit artifact classification for deliverables vs intermediate/system\\\", \\\"add task detail API/page from existing task_bundle service\\\", \\\"update dashboard with clear current-run block and epic/subtask separation\\\"], \\\"suggested_order\\\": [\\\"runtime recovery\\\", \\\"daemon helper\\\", \\\"subtask reconciliation\\\", \\\"artifact classification\\\", \\\"task detail page\\\", \\\"dashboard refresh\\\", \\\"tests\\\"], \\\"task_id\\\": \\\"task_3f5eaf670f4749a18aa73281d5ab1722\\\"}, \\\"reason\\\": \\\"Repo changes needed in personal-agent for interrupted-run recovery, daemon helper reliability, task/subtask state clarity, artifact classification, and task detail UI.\\\", \\\"result_summary\\\": \\\"Deprecated durable ai-dev-workflow handoff. Re-run this work through the code subagent.\\\", \\\"status\\\": \\\"failed\\\", \\\"to_agent\\\": \\\"ai-dev-workflow\\\"}\", \"format\": \"json\", \"status\": \"active\", \"source_ref\": \"migration:v2\", \"created_at\": \"2026-03-24T14:18:16.802589+00:00\", \"updated_at\": \"2026-03-24T14:18:16.802590+00:00\", \"metadata\": {}}, {\"id\": \"art_f512f87edb3f4c56bff2767964cdd312\", \"task_id\": \"task_2e1c07a93b9d40598bb4bfa504a5d726\", \"artifact_type\": \"delegation_note\", \"title\": \"Handoff personal-agent -> ai-dev-workflow\", \"content\": \"{\\\"completed_at\\\": \\\"2026-03-16T15:46:39.286009+00:00\\\", \\\"error_message\\\": null, \\\"from_agent\\\": \\\"personal-agent\\\", \\\"payload\\\": {\\\"expected_artifacts\\\": [\\\"report\\\"], \\\"idempotency_key\\\": \\\"task_2e1c07a93b9d40598bb4bfa504a5d726\\\", \\\"intent\\\": \\\"Smoke task: assess current V1 readiness and propose one safe internal next step, no repo work and no external actions.\\\", \\\"route\\\": {\\\"codex_instruction\\\": \\\"\\\", \\\"delegation_target\\\": \\\"ai-dev-workflow\\\", \\\"planning_source\\\": \\\"fallback\\\", \\\"primary_agent\\\": \\\"code\\\", \\\"reason\\\": \\\"code work (repo)\\\", \\\"secondary_agent\\\": null}, \\\"task_id\\\": \\\"task_2e1c07a93b9d40598bb4bfa504a5d726\\\"}, \\\"reason\\\": \\\"code work (repo)\\\", \\\"result_summary\\\": \\\"Deprecated durable ai-dev-workflow handoff. Re-run this work through the code subagent.\\\", \\\"status\\\": \\\"failed\\\", \\\"to_agent\\\": \\\"ai-dev-workflow\\\"}\", \"format\": \"json\", \"status\": \"active\", \"source_ref\": \"migration:v2\", \"created_at\": \"2026-03-24T14:18:16.802544+00:00\", \"updated_at\": \"2026-03-24T14:18:16.802546+00:00\", \"metadata\": {}}, {\"id\": \"art_2778eb43a141444b9f9ea6408e009340\", \"task_id\": \"task_ed6a38c1b49f4e829e067d49d206148b\", \"artifact_type\": \"delegation_note\", \"title\": \"Handoff personal-agent -> ai-dev-workflow\", \"content\": \"{\\\"completed_at\\\": \\\"2026-03-16T15:46:39.288035+00:00\\\", \\\"error_message\\\": null, \\\"from_agent\\\": \\\"personal-agent\\\", \\\"payload\\\": {\\\"expected_artifacts\\\": [\\\"report\\\"], \\\"idempotency_key\\\": \\\"task_ed6a38c1b49f4e829e067d49d206148b\\\", \\\"intent\\\": \\\"Smoke test after codex CLI fix: summarize current runtime health and suggest one safe internal next step only.\\\", \\\"route\\\": {\\\"codex_instruction\\\": \\\"\\\", \\\"delegation_target\\\": \\\"ai-dev-workflow\\\", \\\"planning_source\\\": \\\"fallback\\\", \\\"primary_agent\\\": \\\"code\\\", \\\"reason\\\": \\\"code work (fix)\\\", \\\"secondary_agent\\\": null}, \\\"task_id\\\": \\\"task_ed6a38c1b49f4e829e067d49d206148b\\\"}, \\\"reason\\\": \\\"code work (fix)\\\", \\\"result_summary\\\": \\\"Deprecated durable ai-dev-workflow handoff. Re-run this work through the code subagent.\\\", \\\"status\\\": \\\"failed\\\", \\\"to_agent\\\": \\\"ai-dev-workflow\\\"}\", \"format\": \"json\", \"status\": \"active\", \"source_ref\": \"migration:v2\", \"created_at\": \"2026-03-24T14:18:16.802511+00:00\", \"updated_at\": \"2026-03-24T14:18:16.802513+00:00\", \"metadata\": {}}, {\"id\": \"art_55b1c9bdee6f4226a81a9160c4703b62\", \"task_id\": \"task_afed9eaf504f42b99348a815d56148cc\", \"artifact_type\": \"delegation_note\", \"title\": \"Handoff personal-agent -> implementation-agent\", \"content\": \"{\\\"completed_at\\\": \\\"2026-03-14T21:29:18.517341+00:00\\\", \\\"error_message\\\": null, \\\"from_agent\\\": \\\"personal-agent\\\", \\\"payload\\\": {\\\"artifact_id\\\": \\\"art_598b5da707dd47709fc0fe9bb3e79e28\\\", \\\"epic_id\\\": \\\"task_afed9eaf504f42b99348a815d56148cc\\\", \\\"expected_artifacts\\\": [\\\"migration_report\\\", \\\"v1_cross_reference_report\\\"], \\\"idempotency_key\\\": \\\"task_afed9eaf504f42b99348a815d56148cc\\\", \\\"remaining_task_ids\\\": [\\\"task_a240986d7c8a4474ba5246536769deed\\\", \\\"task_c0b65186af7d4013b2c1d2906ea6a28e\\\"]}, \\\"reason\\\": \\\"Finish remaining V1 migration and GitHub cross-reference work\\\", \\\"result_summary\\\": \\\"Finished legacy bridge and V1 multi-repo cross-reference work; shared DB now contains the resume anchors and completion artifacts.\\\", \\\"status\\\": \\\"completed\\\", \\\"to_agent\\\": \\\"implementation-agent\\\"}\", \"format\": \"json\", \"status\": \"active\", \"source_ref\": \"migration:v2\", \"created_at\": \"2026-03-24T14:18:16.802221+00:00\", \"updated_at\": \"2026-03-24T14:18:16.802225+00:00\", \"metadata\": {}}, {\"id\": \"art_8dcad6182a03483aa914ad451db388fa\", \"task_id\": \"task_ac84e7e584494c2a95ed4a5bd2e1f92b\", \"artifact_type\": \"run_failure\", \"title\": \"Codex failure for links en la UI de 8082 en markdown andan mal cuando son archivos porque se marcan como relative d...\", \"content\": \"# Codex run failed\\n\\n- Exit code: 1\\n\\n## Stderr\\nOpenAI Codex v0.115.0 (research preview)\\n--------\\nworkdir: /Users/sebas/Code/ai-dev-workflow\\nmodel: gpt-5.4\\nprovider: openai\\napproval: never\\nsandbox: danger-full-access\\nreasoning effort: none\\nreasoning summaries: none\\nsession id: 019cfdaa-6e65-7d62-801b-03d94c51ba23\\n--------\\nuser\\nYou are running as a direct Codex execution for personal-agent.\\nWork from this repository root: /Users/sebas/Code/ai-dev-workflow\\nUse the repository's local rules and skills.\\nImplement directly when needed.\\nReturn markdown only.\\nInclude these sections:\\n- Summary\\n- Changes\\n- Verification\\n- Outputs\\nIn Outputs, list any branch, PR, file paths, or artifacts created.\\n\\nTask: links en la UI de 8082 en markdown andan mal cuando son archivos porque se marcan como relative de localhost:8082. deberian ser absolute paths (file://...)\\nRelevant memory:\\n- Task completed: investigar playtomic y armar un mapeo exhaustivo de todas sus features y use cases. Primero un br...: ## Brief ejecutivo\\n\\n**Qu\\u00e9 es Playtomic**\\n\\nPlaytomic es una plataforma de dos caras para deportes de raqueta y, en partes del producto, otros deportes de pista/cancha. Tiene cuatro \\n- Task completed: Improve daemon/UI operator workflow and task communication: # Findings\\n\\n## Already implemented\\n\\n- Interrupted run recovery exists in `personal_agent/runtime.py:930`: stale `running` task runs are marked `interrupted`, an `execution_state` a\\n- Task completed: In /Users/sebas/Code/calistenia, change a tiny UI string in the app and run repo checks: ## Findings\\n- Repo was clean before edit.\\n- Remaining user-visible typo found in filter config: `Musculo`.\\n- No `lint`, `typecheck`, or `test` scripts exist in `package.json`; repo\\nmcp: figma starting\\nmcp: figma ready\\nmcp startup: ready: figma\\nERROR: You've hit your usage limit. Upgrade to Pro (https://chatgpt.com/explore/pro), visit https://chatgpt.com/codex/settings/usage to purchase more credits or try again at Mar 18th, 2026 2:28 PM.\\nWarning: no last agent message; wrote empty content to /Users/sebas/personal-agent/data/runs/run_7895a9b3e900469984a61ea6092271fc.md\", \"format\": \"md\", \"status\": \"active\", \"source_ref\": \"personal-agent\", \"created_at\": \"2026-03-17T21:18:55.514267+00:00\", \"updated_at\": \"2026-03-17T21:18:55.514267+00:00\", \"metadata\": {\"classification\": \"intermediate\", \"run_id\": \"run_7895a9b3e900469984a61ea6092271fc\"}}, {\"id\": \"art_smoke_markdown_file_links\", \"task_id\": \"task_smoke_markdown_file_links\", \"artifact_type\": \"report\", \"title\": \"smoke markdown file links\", \"content\": \"[tmp](personal-agent-markdown-link-test.md)\", \"format\": \"md\", \"status\": \"active\", \"source_ref\": \"personal-agent:smoke\", \"created_at\": \"2026-03-17T21:11:26.188844+00:00\", \"updated_at\": \"2026-03-17T21:11:26.188844+00:00\", \"metadata\": {\"cwd\": \"/tmp\"}}, {\"id\": \"art_5e03c108db5345269e77d02e21d07dd9\", \"task_id\": \"task_84da4829fdea45728971df65c57ff33f\", \"artifact_type\": \"report\", \"title\": \"Codex result for Document the current Raycast-based fullscreen notification and reply implementation for Codex.\", \"content\": \"Hi Sebas. Kept it tight.\\n\\nDocumented current live flow in [docs/raycast-codex-notify.md](/Users/sebas/personal-agent/docs/raycast-codex-notify.md). It captures the actual implementation split between `~/.codex/hooks/notify_macos.sh` and `~/Code/raycast-codex-reply`, including:\\n\\n- notify hook decision path\\n- rollout-message recovery from `~/.codex/state_5.sqlite`\\n- Raycast reply bridge files + deeplinks\\n- approval watcher flow\\n- fallback AppleScript dialog\\n- explicit note that `personal-agent`\\u2019s old blocker/reply path is removed, so this is not handled by the current runtime\\n\\nAdded a README pointer at [README.md](/Users/sebas/personal-agent/README.md).\\n\\nVerification: `./scripts/run-checks.sh` passed.\", \"format\": \"md\", \"status\": \"active\", \"source_ref\": \"personal-agent\", \"created_at\": \"2026-03-17T02:12:31.505135+00:00\", \"updated_at\": \"2026-03-17T02:12:31.505135+00:00\", \"metadata\": {\"classification\": \"deliverable\", \"cwd\": \"/Users/sebas/personal-agent\", \"output_refs\": {\"paths\": [\"./scripts/run-checks.sh\", \"~/.codex/hooks/notify_macos.sh\", \"~/.codex/state_5.sqlite\", \"~/Code/raycast-codex-reply\"]}, \"run_id\": \"run_9f50b4d09e5842498c055923a851c678\"}}, {\"id\": \"art_d69dff710f97429882a05b0ec979ac5b\", \"task_id\": \"task_be1a1e514a7d43d1b59009ccca9fb57c\", \"artifact_type\": \"report\", \"title\": \"Codex result for Migrate remaining personal-agent legacy persistence/read paths to the shared task/runtime model\", \"content\": \"Hi. Legacy seam closed.\\n\\nCanonical shared-memory model now drives personal-agent surfaces from [shared_memory.py](/Users/sebas/personal-agent/personal_agent/shared_memory.py), with `personal-agent-memory-v1` and `personal-agent-task-v1` helpers, canonical kind detection, and an actual in-place migrator for old memory/task records plus legacy approval memories. [research_store.py](/Users/sebas/personal-agent/personal_agent/research_store.py) now reads/writes canonical run/source/claim/artifact/task records, drops the old bridge fallback for run inspection, uses native approvals rows for request/list/resolve, and includes approvals in search results. [router.py](/Users/sebas/personal-agent/personal_agent/router.py) now mirrors handoffs with canonical memory metadata, and [scripts/personal.py](/Users/sebas/personal-agent/scripts/personal.py) wires `approvals resolve` back into the CLI. [migration.py](/Users/sebas/personal-agent/personal_agent/migration.py) now runs real migration work instead of no-op, and [README.md](/Users/sebas/personal-agent/README.md) reflects the new model.\\n\\nCoverage added in [tests/test_personal.py](/Users/sebas/personal-agent/tests/test_personal.py) for canonical research records, native approval lifecycle, and legacy migration behavior. Verified with `./scripts/run-checks.sh` and `git diff --check`; both passed. No daemon/UI smoke run.\", \"format\": \"md\", \"status\": \"active\", \"source_ref\": \"personal-agent\", \"created_at\": \"2026-03-17T02:02:06.161088+00:00\", \"updated_at\": \"2026-03-17T02:02:06.161088+00:00\", \"metadata\": {\"classification\": \"deliverable\", \"cwd\": \"/Users/sebas/personal-agent\", \"output_refs\": {\"paths\": [\" helpers, canonical kind detection, and an actual in-place migrator for old memory/task records plus legacy approval memories. [research_store.py](/Users/sebas/personal-agent/personal_agent/research_store.py) now reads/writes canonical run/source/claim/artifact/task records, drops the old bridge fallback for run inspection, uses native approvals rows for request/list/resolve, and includes approvals in search results. [router.py](/Users/sebas/personal-agent/personal_agent/router.py) now mirrors handoffs with canonical memory metadata, and [scripts/personal.py](/Users/sebas/personal-agent/scripts/personal.py) wires \", \"./scripts/run-checks.sh\"]}, \"run_id\": \"run_b694a238b532454bb547c056246a31fd\"}}, {\"id\": \"art_b4f5386484794717b0ddc4c42c265319\", \"task_id\": \"task_871c609196b94132aa686188007f6dea\", \"artifact_type\": \"report\", \"title\": \"Codex result for Consolidate all Ballbox payment-system work from demo validation through production readiness and go-live certification.\", \"content\": \"Consolidated into one active workflow.\\n\\nCreated local repo mapping in [.agents/local-config.json](/Users/sebas/Code/ai-dev-workflow/.agents/local-config.json), set current feature in [.agents/current-feature](/Users/sebas/Code/ai-dev-workflow/.agents/current-feature), and wrote the active feature context in [.agents/feature-contexts/ballbox-payment-system-prod-readiness.json](/Users/sebas/Code/ai-dev-workflow/.agents/feature-contexts/ballbox-payment-system-prod-readiness.json). Added the execution brief/checklist in [docs/ballbox-payment-system-consolidation.md](/Users/sebas/Code/ai-dev-workflow/docs/ballbox-payment-system-consolidation.md).\\n\\nKey consolidation outcome: `ballbox` is stable/demo-facing only; `ballbox-payment-integration` is the real workstream. Demo validation exists now. Production hardening is partially drafted but unstaged in backend. Go-live certification is still blocked by two real gaps: missing TCN/Yunshu live adapter contract, and unvalidated MercadoPago real QR flow.\\n\\nVerification: JSON valid. Shared-memory sync failed because `shared_agent_memory` is not installed/importable in this environment. Control repo also remains behind `origin/main` by 1 commit: `111e974 Feat: accept shared memory run-task handoffs (#2)`. I did not pull because this branch is also 3 commits ahead.\\n\\nBest next move: review and commit the backend readiness slice in `~/Code/ballbox-payment-integration`, then `/status --current`.\", \"format\": \"md\", \"status\": \"active\", \"source_ref\": \"personal-agent\", \"created_at\": \"2026-03-17T01:55:28.432378+00:00\", \"updated_at\": \"2026-03-17T01:55:28.432378+00:00\", \"metadata\": {\"classification\": \"deliverable\", \"cwd\": \"/Users/sebas/Code/ai-dev-workflow\", \"output_refs\": {\"paths\": [\" is not installed/importable in this environment. Control repo also remains behind \", \" is stable/demo-facing only; \", \"~/Code/ballbox-payment-integration\"]}, \"run_id\": \"run_80140950f2c04d10bd3941d712ab0b25\"}}, {\"id\": \"art_a5cbdcb711234fd3b8306f379678523c\", \"task_id\": \"task_746e1a74f77b4cb0b8e3fd950fad90cb\", \"artifact_type\": \"report\", \"title\": \"link smoke\", \"content\": \"[tct](link) [txt](link.com)\", \"format\": \"md\", \"status\": \"active\", \"source_ref\": \"personal-agent\", \"created_at\": \"2026-03-16T20:42:13.176072+00:00\", \"updated_at\": \"2026-03-16T20:42:13.176072+00:00\", \"metadata\": {}}, {\"id\": \"art_322e6f0e62724030b8d995053a5ec674\", \"task_id\": \"task_2f22e794212641c49d7f8a600ad3a4bd\", \"artifact_type\": \"report\", \"title\": \"Codex result for en personal-agent que el script que hace restart del daemon pause tareas corriendo (como sea, que...\", \"content\": \"## Summary\\nImplementado en `personal-agent`: el restart del daemon ahora pausa runs activas, las deja en estado reiniciable, y al levantar de nuevo el runtime intenta relanzarlas solo. Tambi\\u00e9n blind\\u00e9 el watcher para que un run ya pausado no termine marcado como fallo cuando llega el `SIGTERM`.\\n\\n## Changes\\n- [`/Users/sebas/personal-agent/personal_agent/runtime.py`](file:///Users/sebas/personal-agent/personal_agent/runtime.py)\\n - agregado `pause_running_tasks()`\\n - `stop()` ahora puede pausar antes de terminar procesos\\n - runs `running` recuperadas tras restart/crash pasan a `paused`, task vuelve a `draft`, metadata marca `auto_restart_on_daemon_start`\\n - en boot, `_restart_paused_runs()` relanza tasks pausadas con `cwd`/prompt guardados\\n - `_watch_run()` sale temprano si el run ya no est\\u00e1 `running`, evita falso `failed`\\n- [`/Users/sebas/personal-agent/scripts/personal.py`](file:///Users/sebas/personal-agent/scripts/personal.py)\\n - nuevo comando `pause-running --reason ...`\\n- [`/Users/sebas/personal-agent/scripts/daemon-8082.sh`](file:///Users/sebas/personal-agent/scripts/daemon-8082.sh)\\n - `restart` ahora ejecuta `python3 scripts/personal.py pause-running ...` antes de `stop/start`\\n- [`/Users/sebas/personal-agent/tests/test_personal.py`](file:///Users/sebas/personal-agent/tests/test_personal.py)\\n - actualizado recovery test para validar pause + auto-restart\\n - nuevo test para pause/shutdown race, sin false failure/artifact\\n\\n## Verification\\n- `python3 -m unittest tests.test_personal` \\u2705\\n- `./scripts/run-checks.sh` \\u2705\\n- `./scripts/daemon-8082.sh restart`\\n - pause step ejecut\\u00f3 bien\\n - restart completo bloqueado por entorno actual: `\\\"foreign listener on 127.0.0.1:8082 (pid 18283); refusing to stop it\\\"`\\n- `curl -fsS http://127.0.0.1:8082/api/status` \\u2705\\n - confirm\\u00f3 que la task activa qued\\u00f3 `draft` con latest run `paused`\\n\\n## Outputs\\n- Branch: none\\n- PR: none\\n- Files changed:\\n - [`/Users/sebas/personal-agent/personal_agent/runtime.py`](file:///Users/sebas/personal-agent/personal_agent/runtime.py)\\n - [`/Users/sebas/personal-agent/scripts/personal.py`](file:///Users/sebas/personal-agent/scripts/personal.py)\\n - [`/Users/sebas/personal-agent/scripts/daemon-8082.sh`](file:///Users/sebas/personal-agent/scripts/daemon-8082.sh)\\n - [`/Users/sebas/personal-agent/tests/test_personal.py`](file:///Users/sebas/personal-agent/tests/test_personal.py)\\n- Artifacts created: none\", \"format\": \"md\", \"status\": \"active\", \"source_ref\": \"personal-agent\", \"created_at\": \"2026-03-16T20:25:49.823843+00:00\", \"updated_at\": \"2026-03-16T20:25:49.823843+00:00\", \"metadata\": {\"classification\": \"deliverable\", \"cwd\": \"/Users/sebas/personal-agent\", \"output_refs\": {\"branches\": [\"none\"], \"paths\": [\" recuperadas tras restart/crash pasan a \", \"./scripts/daemon-8082.sh restart\", \"./scripts/run-checks.sh\", \"/Users/sebas/personal-agent/personal_agent/runtime.py\", \"/Users/sebas/personal-agent/scripts/daemon-8082.sh\", \"/Users/sebas/personal-agent/scripts/personal.py\", \"/Users/sebas/personal-agent/tests/test_personal.py\", \"curl -fsS http://127.0.0.1:8082/api/status\", \"python3 scripts/personal.py pause-running ...\", \"stop/start\"]}, \"run_id\": \"run_8ff645c9a9ad4d558df0265495267a41\"}}, {\"id\": \"art_d7f2bb1c7a204e56834b97bc4e77989b\", \"task_id\": \"task_8a866bb8156441ff8cee2f0f9f28e0c5\", \"artifact_type\": \"report\", \"title\": \"Codex result for en un worktree nuevo en personal-agent, agregar soporte markdown para links (ej. aca http://127.0...\", \"content\": \"## Summary\\nAgregado soporte markdown para links en artifacts/report renderizados por el daemon. `[USECASE.md](http://...)` ahora sale como `<a>` clickable, no literal. Hecho en worktree nuevo; adem\\u00e1s dej\\u00e9 un test existente compatible con worktrees.\\n\\n## Changes\\n- Link markdown inline en [personal_agent/daemon.py](/Users/sebas/personal-agent-wt-markdown-links/personal_agent/daemon.py#L630)\\n - parse `[label](href)`\\n - `href` allowlist: `http`, `https`, `mailto`, `/`, `./`, `../`, `#`\\n - links no seguros quedan literales\\n- Tests en [tests/test_personal.py](/Users/sebas/personal-agent-wt-markdown-links/tests/test_personal.py#L1653)\\n - cubre render de link local `http://127.0.0.1:8082/artifacts/...`\\n - cubre fallback seguro para `javascript:...`\\n- Fix de test fr\\u00e1gil para worktree en [tests/test_personal.py](/Users/sebas/personal-agent-wt-markdown-links/tests/test_personal.py#L1345)\\n - deja de asumir path absoluto fijo del repo principal\\n\\n## Verification\\n- `./scripts/run-checks.sh`\\n- Resultado: `Ran 36 tests ... OK`\\n\\n## Outputs\\n- Worktree: `/Users/sebas/personal-agent-wt-markdown-links`\\n- Branch: `fix-artifact-markdown-links`\\n- Files changed:\\n - [personal_agent/daemon.py](/Users/sebas/personal-agent-wt-markdown-links/personal_agent/daemon.py)\\n - [tests/test_personal.py](/Users/sebas/personal-agent-wt-markdown-links/tests/test_personal.py)\\n- PR: none\\n- Artifacts: none\", \"format\": \"md\", \"status\": \"active\", \"source_ref\": \"personal-agent\", \"created_at\": \"2026-03-16T19:15:50.674755+00:00\", \"updated_at\": \"2026-03-16T19:15:50.674755+00:00\", \"metadata\": {\"classification\": \"deliverable\", \"cwd\": \"/Users/sebas/personal-agent\", \"output_refs\": {\"paths\": [\"./scripts/run-checks.sh\", \"/Users/sebas/personal-agent-wt-markdown-links\", \"[USECASE.md](http://...)\"]}, \"run_id\": \"run_cce5f6d82e0148f6a56c9c12d159711e\"}}]}, \"audit\": {\"schema_version\": \"shared-agent-memory-v2\", \"memories\": 315, \"tasks\": 194, \"approvals\": 0, \"handoffs\": 0, \"maintenance_jobs\": 4, \"legacy_memory_rows\": 0, \"legacy_task_rows\": 0}}\n\n[Showing last 50.0KB of line 1 (line is 94.0KB). Full output: /tmp/pi-bash-79f79599ca5c7e95.log]"}],"details":{"truncation":{"content":"s11)\\n\\n**Use cases**\\n- 8-week academy, beginner series, seasonal programs, kids programs, transformation programs.\\n- Mantener cohortes con control de min/max y cierres automaticos.\\n\\n**E. Credit packages**\\n- Venta de credits prepago desde el negocio/storefront. [S7](#ref-s7)[S10](#ref-s10)[S11](#ref-s11)\\n- Precio, numero de credits, expiracion, purchase limit, time-limited sales, descripcion. [S11](#ref-s11)\\n- Credits venue/trainer-specific, no cross-merchant. [S7](#ref-s7)[S11](#ref-s11)\\n- Hoy documentados para Classes & Events; client help los presenta tambien para classes/events/courses. [S7](#ref-s7)[S11](#ref-s11)\\n\\n**Use cases**\\n- Session passes, bundles, loyalty/prepay, promo windows, member-only offers.\\n- Cobrar por adelantado y reducir friccion en repeat bookings.\\n\\n### 6. Payments / billing / invoicing\\n\\n**Features confirmadas**\\n- Online payments con Stripe o Mollie; Matchable cobra 1.8% platform fee + processing fees del PSP. [S3](#ref-s3)\\n- Aceptar pagos en 36+ paises. [S3](#ref-s3)\\n- Payment method obligatorio antes de aceptar bookings. [S8](#ref-s8)\\n- Invoices automaticas al cliente; visibles en \\\"My invoices\\\". [S3](#ref-s3)[S7](#ref-s7)[S8](#ref-s8)\\n- Pagos van directo al venue/trainer segun client-facing copy. [S7](#ref-s7)[S17](#ref-s17)\\n- Manual bookings gratis. [S3](#ref-s3)\\n- Manual payment links e in-person payments aparecen como coming soon en pricing. [S3](#ref-s3)\\n\\n**Use cases soportados**\\n- Cobro online nativo sin subscription fee.\\n- Operar mercados internacionales con PSPs estandar.\\n- Emitir comprobantes automaticamente y dar self-serve invoice access al cliente.\\n\\n### 7. Storefront / distribution / embedded commerce\\n\\n**Features confirmadas**\\n- Storefront publico agrega todo lo publicado: private sessions, classes, courses, events, credit packages. [S10](#ref-s10)\\n- Shareable link desde manager; puede usarse en Instagram bio, links directos, etc. [S10](#ref-s10)\\n- Booking widget para incrustar oferta propia en website. [S3](#ref-s3)[S10](#ref-s10)\\n- Marketplace opcional sin fee adicional por descubrir nuevos clientes via marketplace. [S3](#ref-s3)\\n\\n**Use cases soportados**\\n- Negocio sin web propia que usa Matchable como storefront principal.\\n- Negocio con web propia que embebe widget pero usa Matchable para checkout/ops.\\n- Clubs/academies que combinan demanda organica marketplace + trafico propio.\\n\\n### 8. Trainer operations\\n\\n**Features confirmadas**\\n- Crear trainer con nombre, email, funcion/categoria. [S8](#ref-s8)\\n- Asignar trainer a servicios. [S11](#ref-s11)\\n- Gestionar bookings del trainer desde manager. [S11](#ref-s11)\\n- Primary schedule y temporary schedule del trainer. [S11](#ref-s11)\\n- Holidays que override availability y muestran indisponibilidad al cliente. [S11](#ref-s11)\\n- Trainer app con home, weekly schedule, create training, availability, holidays y profile edit. [S11](#ref-s11)\\n- Release note del trainer app documenta manejo entre multiple venues. [S18](#ref-s18)\\n\\n**Use cases soportados**\\n- Coach independiente que se autogestiona.\\n- Academy con multiples coaches y horarios complejos.\\n- Coach itinerante entre varias sedes.\\n\\n### 9. Venue / academy operations\\n\\n**Features confirmadas**\\n- Venue schedule con opening hours, primary schedule y temporary schedule que overridea al principal. [S8](#ref-s8)\\n- Schedule/Calendar operativo donde conviven trainings, classes y courses. [S9](#ref-s9)[S11](#ref-s11)\\n- Day view / week view y quick booking overview. [S9](#ref-s9)\\n- Crear booking manualmente desde manager. [S9](#ref-s9)[S11](#ref-s11)\\n- Multi-venue management y unlimited manager seats para business tier segun pricing. [S3](#ref-s3)\\n\\n**Use cases soportados**\\n- Operar aperturas estacionales o holiday schedules.\\n- Ver conflictos y capacidad del dia en una sola vista.\\n- Administrar academies o grupos con varias sedes y varios managers.\\n\\n### 10. Client CRM / customer operations\\n\\n**Features confirmadas**\\n- Client database con nombre, email, phone. [S11](#ref-s11)\\n- Add Client manual. [S11](#ref-s11)\\n- View profile, add booking y WhatsApp contact desde perfil del cliente. [S11](#ref-s11)\\n- Ver booking history y filtros. [S11](#ref-s11)\\n- En cursos: payment status, payment type, revenue, add guest/manual participant, refund handling. [S11](#ref-s11)\\n\\n**Use cases soportados**\\n- Staff de front desk o academy manager que agrega walk-ins/manual signups.\\n- Seguimiento de recurrentes y soporte posventa.\\n- Gestion de cohortes y refunds en programas.\\n\\n### 11. Promotions / discounts / commercial tooling\\n\\n**Features confirmadas**\\n- Discount codes y vouchers en marketplace checkout. [S6](#ref-s6)\\n- Promotions y vouchers en business homepage. [S2](#ref-s2)\\n- Promotion tools listed as free in pricing. [S3](#ref-s3)\\n- Credit packages con time-limited sales. [S11](#ref-s11)\\n\\n**Use cases soportados**\\n- Acquisition offers, referral codes, Black Friday/new year campaigns.\\n- Prepaid bundles para aumentar retention y cashflow.\\n\\n### 12. Integrations / ecosystem\\n\\n**A. Court-booking / club systems**\\n- MATCHi: reserva cancha automaticamente al reservar private training; sync real-time; evita double-bookings; oculta slots sin court disponible. [S4](#ref-s4)[S12](#ref-s12)\\n- Matchpoint: auto-reserva court, sync availability y updates, cubre tennis/padel/beach tennis/pickleball. [S15](#ref-s15)\\n- KNLTB Meet & Play: auto court reservation y visibilidad de sesiones en KNLTB app. [S16](#ref-s16)\\n- Overview tambien lista AnyBuddy y Taykus con el mismo patron de auto court booking. [S4](#ref-s4)\\n\\n**Use cases**\\n- Club que quiere vender coaching sin hacer booking manual de cancha.\\n- Academia dentro de club que necesita respetar inventario real de courts.\\n- Ecosistemas federativos/club software donde Matchable actua como capa comercial.\\n\\n**Spec para copiar:** Ver la secci\\u00f3n [Ballbox \\u00d7 ATC](#ballbox-atc-spec-de-integraci-n) al final de este documento para el spec detallado de integraci\\u00f3n tipo MATCHi/Matchpoint/KNLTB, adaptado para Ballbox \\u00d7 ATC.\\n\\n**B. Calendar**\\n- Google Calendar integration page promete two-way sync: bloquear tiempo en Google bloquea disponibilidad en Matchable; cambios en Matchable actualizan Calendar. [S13](#ref-s13)\\n- Help article documenta al menos una suscripcion por URL/ICS a Google Calendar. [S11](#ref-s11)\\n\\n**Use cases**\\n- Coach que mezcla agenda personal y comercial.\\n- Reducir no-shows y overlaps.\\n\\n**Nota critica**\\n- Publicamente hay tension entre marketing (two-way sync) y help (ICS subscription, que normalmente es one-way). Conviene tratar el alcance exacto como \\\"publicamente reclamado, no completamente verificado\\\". [S13](#ref-s13)[S11](#ref-s11)\\n\\n**C. Digital sessions**\\n- Google Meet integration agrega links automaticamente a cada booking. [S14](#ref-s14)\\n- Business homepage y pricing listan digital sessions como capability. [S2](#ref-s2)[S3](#ref-s3)\\n\\n**Use cases**\\n- Remote coaching, video review, nutrition coaching, virtual classes.\\n\\n**D. Adjacent value-add tools**\\n- BenFit: entrenadores conectados con soporte nutricional. [S4](#ref-s4)\\n- PadelFast: conectar training clients con torneos/competiciones. [S4](#ref-s4)\\n\\n**Use cases**\\n- Extender ARPU y experiencia mas alla del booking.\\n- Convertir academia en funnel hacia competicion o nutrition upsell.\\n\\n### 13. Mobile products\\n\\n**Client app**\\n- Book next workout, view booked sessions, location and services, no signup/subscription fee. [S7](#ref-s7)\\n- Release notes: localization, courses, credits, top categories, storefront filters/organized overview, support for unplanned sessions. [S17](#ref-s17)\\n\\n**Trainer app**\\n- Daily/weekly schedule, reviews, connected venues, create training, availability, holidays, profile editing. [S11](#ref-s11)\\n- Release notes: manage bookings/schedules/holidays between multiple venues. [S18](#ref-s18)\\n\\n**Use cases soportados**\\n- Consumo movil para clientes repetitivos.\\n- Coach on-court que no quiere operar desde desktop.\\n\\n### 14. Support / onboarding / enablement\\n\\n**Features confirmadas**\\n- Free onboarding y full customer support segun FAQ de business homepage. [S2](#ref-s2)\\n- Chat support desde manager, email support <24h, knowledge base. [S3](#ref-s3)\\n- Help center estructurado para clients, trainer app y business manager. [S5](#ref-s5)\\n\\n**Use cases soportados**\\n- SMB onboarding rapido.\\n- Soporte operativo y autoservicio documental.\\n\\n### 15. Explicit \\\"coming soon\\\" / weakly evidenced areas\\n\\n**Publicamente listados como coming soon o ambiguos**\\n- Courses en pricing (aunque help center y app release notes los muestran activos). [S3](#ref-s3)[S11](#ref-s11)[S17](#ref-s17)\\n- Insights. [S3](#ref-s3)\\n- Manual payment links. [S3](#ref-s3)\\n- In-person payments. [S3](#ref-s3)\\n- Google Analytics y Meta Pixel add-ons. [S3](#ref-s3)\\n- Recruitment en pricing aparece sin detalle publico util. [S3](#ref-s3)\\n\\n**Lectura**\\n- No asumir cobertura plena ni GA/Pixel productizados a todos los clientes.\\n- Courses/credits/storefront parecen en rollout mas avanzado que pricing copy.\\n\\n## Mapa de casos de uso por persona\\n\\n### Cliente casual\\n- Encontrar un coach/venue por deporte.\\n- Comprar un 1:1 o clase puntual.\\n- Elegir attendees/duracion.\\n- Aplicar voucher.\\n- Pagar y reagendar si hace falta. [S6](#ref-s6)[S7](#ref-s7)\\n\\n### Cliente recurrente\\n- Comprar packages o credits.\\n- Dejar sesiones unplanned y consumirlas despues.\\n- Seguir usando el mismo trainer/venue via storefront/app. [S5](#ref-s5)[S7](#ref-s7)[S10](#ref-s10)\\n\\n### Alumno de programa\\n- Inscribirse a course multi-semana.\\n- Ver schedule completo.\\n- Entrar tarde con Smart Courses si quedan sesiones. [S11](#ref-s11)\\n\\n### Trainer independiente\\n- Publicar perfil y disponibilidad.\\n- Vender privados, clases y online sessions.\\n- Gestionar agenda/holidays desde app.\\n- Usar Google Calendar para coordinar vida personal + trabajo. [S2](#ref-s2)[S11](#ref-s11)[S13](#ref-s13)[S14](#ref-s14)\\n\\n### Venue/academy\\n- Publicar oferta completa en storefront.\\n- Gestionar trainers, bookings y clientes.\\n- Vender credits/cursos/eventos.\\n- Cobrar online e invoicing automatico. [S3](#ref-s3)[S10](#ref-s10)[S11](#ref-s11)\\n\\n### Racquet club integrado\\n- Mantener MATCHi/Matchpoint/KNLTB como sistema de courts.\\n- Usar Matchable para captar y vender coaching.\\n- Evitar doble reserva de cancha. [S12](#ref-s12)[S15](#ref-s15)[S16](#ref-s16)\\n\\n### Operador multi-sede\\n- Administrar varias sedes y multiples managers.\\n- Unificar operacion con mismos flujos de booking/clients/trainers. [S3](#ref-s3)\\n\\n## JTBD map\\n\\n**JTBD: \\\"quiero entrenar esta semana con alguien bueno\\\"**\\n- Search marketplace\\n- Trainer profiles\\n- Reviews\\n- Booking + planning\\n- Reschedule/cancel [S1](#ref-s1)[S6](#ref-s6)[S7](#ref-s7)[S19](#ref-s19)\\n\\n**JTBD: \\\"quiero vender mi coaching sin perseguir pagos ni whatsapps\\\"**\\n- Storefront\\n- Online payments\\n- Packages/credits\\n- Automated invoices\\n- Trainer app [S3](#ref-s3)[S10](#ref-s10)[S11](#ref-s11)\\n\\n**JTBD: \\\"quiero correr una academia o programa estructurado\\\"**\\n- Courses\\n- Participant limits\\n- Auto-cancel\\n- Smart Courses\\n- Participant management [S11](#ref-s11)\\n\\n**JTBD: \\\"quiero monetizar horas valle o crear comunidad\\\"**\\n- Classes\\n- Events\\n- Credits/promotions\\n- Public marketplace distribution [S2](#ref-s2)[S3](#ref-s3)[S10](#ref-s10)\\n\\n**JTBD: \\\"quiero que vender coaching no rompa mi operacion de club\\\"**\\n- Court-booking integrations\\n- Availability sync\\n- Booking statuses\\n- Multi-venue / manager operations [S3](#ref-s3)[S9](#ref-s9)[S12](#ref-s12)[S15](#ref-s15)[S16](#ref-s16)\\n\\n**JTBD: \\\"quiero ofrecer coaching online tambien\\\"**\\n- Digital sessions\\n- Google Meet links\\n- Unified profile for in-person + online [S2](#ref-s2)[S14](#ref-s14)\\n\\n## Hallazgos estrategicos\\n\\n1. Matchable parece mas fuerte cuando el negocio vende no solo privados sino un mix de privados + clases + cursos + credits + eventos desde storefront. La plataforma ya esta modelada para ese portfolio, no solo para appointment booking simple. [S2](#ref-s2)[S3](#ref-s3)[S10](#ref-s10)[S11](#ref-s11)\\n2. El wedge mas diferenciador en racquet sports es academy automation conectada a court inventory externo. Eso resuelve un problema operativo real que marketplaces generalistas no resuelven. [S12](#ref-s12)[S15](#ref-s15)[S16](#ref-s16)\\n3. La company esta empujando una evolucion desde \\\"trainer booking\\\" a \\\"sport commerce OS ligero\\\": storefront, widget, apps, credits, courses, integrations, manager. [S2](#ref-s2)[S3](#ref-s3)[S10](#ref-s10)[S17](#ref-s17)[S18](#ref-s18)\\n4. El posicionamiento geografico/publico es multi-country, pero la fuerza de las integraciones y ejemplos visibles sesga hacia Europa y racquet/federation ecosystems. [S12](#ref-s12)[S15](#ref-s15)[S16](#ref-s16)\\n\\n## Riesgos, limites y lectura critica\\n\\n- Parte del marketplace publico devuelve `0 results` sin contexto o depende de query/location; por tanto el mapeo se centra en capacidades de producto confirmadas, no en catalogo disponible en cada region. [S20](#ref-s20)[S21](#ref-s21)\\n- Hay copy inconsistente entre pricing y help center/app release notes sobre courses, credits e insights. No conviene asumir rollout uniforme por cliente/mercado. [S3](#ref-s3)[S11](#ref-s11)[S17](#ref-s17)\\n- La profundidad del BI/reporting no es visible publicamente; \\\"insights\\\" aparece, pero sin detalle funcional verificable. [S3](#ref-s3)\\n- La integracion de Google Calendar se describe como two-way en marketing, pero el help publico solo verifica una integracion via URL/ICS; tratar la sincronizacion bidireccional exacta como probable pero no cerrada. [S13](#ref-s13)[S11](#ref-s11)\\n- No pude verificar exhaustivamente todas las venue pages publicas desde muestra puntual; algunas URLs del sitemap no devolvieron contenido util. [S20](#ref-s20)\\n\\n## Fuentes primarias usadas\\n\\n- [S1] Matchable consumer homepage: https://www.matchable.io/\\n- [S2] Matchable business homepage: https://business.matchable.io/\\n- [S3] Matchable pricing: https://matchable.io/business/pricing\\n- [S4] Matchable integrations overview: https://matchable.io/business/integrations\\n- [S5] Matchable help center index: https://help.matchable.io/en/\\n- [S6] How to book a training: https://help.matchable.io/en/articles/10-how-to-book-a-training\\n- [S7] Client app / credits / FAQ / invoices help pages: https://help.matchable.io/en/articles/15-client-app-iosandroid ; https://help.matchable.io/en/articles/23-how-to-use-credits ; https://help.matchable.io/en/articles/12-faq ; https://help.matchable.io/en/articles/39-invoice-for-my-purchases\\n- [S8] Quick-start manager setup pages: https://help.matchable.io/en/articles/1-add-a-payment-method ; https://help.matchable.io/en/articles/2-create-your-first-class-or-event ; https://help.matchable.io/en/articles/3-create-your-first-private-service ; https://help.matchable.io/en/articles/4-how-to-edit-your-trainer-profile ; https://help.matchable.io/en/articles/5-how-to-edit-your-venue-profile ; https://help.matchable.io/en/articles/6-edit-your-availability ; https://help.matchable.io/en/articles/7-add-your-venue-schedule\\n- [S9] Manager operations pages: https://help.matchable.io/en/articles/17-manage-trainings-and-classes ; https://help.matchable.io/en/articles/18-manage-your-trainers-schedules ; https://help.matchable.io/en/articles/19-manage-your-clients ; https://help.matchable.io/en/articles/22-manage-credits\\n- [S10] Storefront guide: https://help.matchable.io/en/articles/38-getting-started-with-your-storefront\\n- [S11] Courses + trainer app help pages: https://help.matchable.io/en/articles/13-getting-started-with-the-matchable-trainer-app ; https://help.matchable.io/en/articles/14-adding-and-managing-your-holidays ; https://help.matchable.io/en/articles/41-getting-started-with-courses ; https://help.matchable.io/en/articles/42-smart-courses-feature ; https://help.matchable.io/en/articles/43-set-up-a-course-page-template ; https://help.matchable.io/en/articles/44-create-and-manage-your-course-schedule ; https://help.matchable.io/en/articles/45-viewing-courses-in-the-calendar ; https://help.matchable.io/en/articles/46-manage-course-participants\\n- [S12] MATCHi integration: https://matchable.io/business/integration/matchi\\n- [S13] Google Calendar integration: https://matchable.io/business/integration/google-calendar\\n- [S14] Google Meet integration: https://matchable.io/business/integration/google-meet\\n- [S15] Matchpoint integration: https://matchable.io/business/integration/matchpoint\\n- [S16] KNLTB Meet & Play integration: https://matchable.io/business/integration/knltb-meet-play\\n- [S17] Client app store pages / release notes: https://apps.apple.com/nl/app/matchable-book-your-training/id6742325816 ; https://play.google.com/store/apps/details?id=com.getmatchable.client\\n- [S18] Trainer app store pages / release notes: https://apps.apple.com/nl/app/matchable-for-trainers/id6468798694 ; https://play.google.com/store/apps/details?id=com.getmatchable.app\\n- [S19] Sample trainer page: https://matchable.io/trainers/alex-hosp\\n- [S20] Matchable sitemap: https://matchable.io/sitemap.xml\\n- [S21] Explore / Activities public pages: https://matchable.io/explore ; https://matchable.io/activities\\n\\n\\n- [S22] Spec Ballbox \\u00d7 ATC: secci\\u00f3n 16 de este documento (Spec de integraci\\u00f3n para copiar patr\\u00f3n MATCHi/Matchpoint/KNLTB en Ballbox)\\n\\n## Ballbox \\u00d7 ATC \\u2014 Spec de Integraci\\u00f3n\\n\\n*Spec de integraci\\u00f3n para copiar el patr\\u00f3n de MATCHi/Matchpoint/KNLTB en Ballbox.*\\n\\n---\\n\\n### 1. Contexto de negocio\\n\\n**Problema que resuelve**\\n\\nUn club de tennis/padel usa ATC como su sistema de gesti\\u00f3n de canchas (reservas, pagos, inventario). Ballbox quiere vender trainings y clases de sus trainers en ese club. El riesgo es vender un entrenamiento cuando la cancha no est\\u00e1 disponible, o duplicar reservas.\\n\\n**Soluci\\u00f3n**\\n\\nCuando alguien reserva un training en Ballbox, el sistema autom\\u00e1ticamente verifica disponibilidad y reserva la cancha en ATC al mismo tiempo. Si el club cancela o modifica la reserva en ATC, Ballbox se entera y act\\u00faa en consecuencia.\\n\\n**Modelo de relaci\\u00f3n**\\n\\n- ATC es el **source of truth** para inventario de canchas\\n- Ballbox es el **canal de venta** de trainings\\n- Ambas plataformas mantienen sync en tiempo real\\n\\n---\\n\\n### 2. Descripci\\u00f3n funcional del flujo\\n\\n#### 2.1. Un cliente busca un entrenamiento\\n\\nEl cliente ve en Ballbox los trainers disponibles de un club. Al seleccionar fecha y horario, Ballbox consulta a ATC qu\\u00e9 canchas est\\u00e1n libres en ese momento. Solo muestra opciones disponibles.\\n\\n#### 2.2. El cliente confirma la reserva\\n\\nCuando el cliente paga o confirma el training en Ballbox:\\n1. Ballbox registra la reserva del training para el trainer\\n2. Simult\\u00e1neamente, Ballbox reserva la cancha en ATC para ese horario\\n3. Ambas reservas quedan linkeadas por un identificador compartido\\n4. Si la cancha no se puede reservar (ya se ocup\\u00f3 entre consulta y confirmaci\\u00f3n), Ballbox informa al cliente y sugiere otro horario\\n\\n#### 2.3. El cliente o el trainer cancela desde Ballbox\\n\\nBallbox cancela la reserva del training y, al mismo tiempo, libera la cancha en ATC.\\n\\n#### 2.4. El club cancela o modifica la reserva desde ATC\\n\\nATC notifica a Ballbox del cambio. Ballbox:\\n- Informa al cliente/trainer\\n- Ofrece reagendar o cancelar sin costo\\n- Marca la reserva como afectada\\n\\n#### 2.5. El club tiene la cancha indisponible (mantenimiento, evento)\\n\\nATC informa a Ballbox. Ballbox marca esas horas como no disponibles para nuevos bookings de trainings.\\n\\n---\\n\\n### 3. Escenarios soportados\\n\\n| Escenario | Comportamiento |\\n|-----------|----------------|\\n| Training reservado en Ballbox, club cierra la cancha | Ballbox notifica al cliente, ofrece reagendar |\\n| Trainer cancela training en Ballbox | La cancha se libera en ATC autom\\u00e1ticamente |\\n| Cliente reserva training, la cancha se ocupa antes de confirmar | Ballbox muestra horarios alternativos |\\n| Ballbox cae durante la reserva | La transacci\\u00f3n se deshace; la cancha en ATC no queda reservada |\\n| ATC tiene mantenimiento | Ballbox lo detecta y muestra \\\"canchas temporalmente no disponibles\\\" |\\n\\n---\\n\\n### 4. Definici\\u00f3n de responsabilidades\\n\\n**Ballbox se encarga de:**\\n- Mostrar la oferta de trainings y trainers\\n- Gestionar el checkout, pago y comunicaci\\u00f3n con el cliente\\n- Mantener el estado del training (confirmado, cancelado, reagendado)\\n- Notificar al cliente ante cambios en disponibilidad de cancha\\n- Persistir la referencia cruzada entre booking de training y booking de cancha\\n\\n**ATC se encarga de:**\\n- Mantener el inventario actualizado de canchas por club\\n- Gestionar reservas de cancha (crear, cancelar, consultar disponibilidad)\\n- Procesar pagos de alquiler de canasta si aplica\\n- Notificar a Ballbox ante cambios en reservas de cancha realizados fuera de Ballbox\\n- Proveer soporte t\\u00e9cnico para la integraci\\u00f3n\\n\\n---\\n\\n### 5. Especificaci\\u00f3n t\\u00e9cnica\\n\\n*Requiere que ATC expose los siguientes endpoints (si no existen, se arman en coordinaci\\u00f3n con ATC).*\\n\\n#### 5.1. Consultar disponibilidad\\n\\n```\\nGET /api/v1/clubs/{club_id}/availability?sport={sport}&date={YYYY-MM-DD}\\n\\nRespuesta:\\n{\\n \\\"date\\\": \\\"2026-03-25\\\",\\n \\\"slots\\\": [\\n {\\n \\\"court_id\\\": \\\"court-1\\\",\\n \\\"court_name\\\": \\\"Cancha 1\\\",\\n \\\"time\\\": \\\"14:00\\\",\\n \\\"duration_minutes\\\": 60,\\n \\\"available\\\": true\\n },\\n {\\n \\\"court_id\\\": \\\"court-1\\\",\\n \\\"time\\\": \\\"15:00\\\",\\n \\\"available\\\": false,\\n \\\"reason\\\": \\\"booked\\\"\\n }\\n ]\\n}\\n```\\n\\n#### 5.2. Reservar cancha\\n\\n```\\nPOST /api/v1/bookings\\n{\\n \\\"club_id\\\": \\\"club-123\\\",\\n \\\"court_id\\\": \\\"court-456\\\",\\n \\\"datetime\\\": \\\"2026-03-25T14:00:00\\\",\\n \\\"duration_minutes\\\": 60,\\n \\\"client_name\\\": \\\"Juan P\\u00e9rez\\\",\\n \\\"client_phone\\\": \\\"+5491112345678\\\",\\n \\\"external_ref\\\": \\\"ballbox-bk-789\\\",\\n \\\"notes\\\": \\\"Training Ballbox\\\"\\n}\\n\\nRespuesta:\\n{\\n \\\"booking_id\\\": \\\"atc-bk-111\\\",\\n \\\"status\\\": \\\"confirmed\\\",\\n \\\"court\\\": \\\"Cancha 1\\\",\\n \\\"datetime\\\": \\\"2026-03-25T14:00:00\\\"\\n}\\n```\\n\\n#### 5.3. Cancelar reserva de cancha\\n\\n```\\nDELETE /api/v1/bookings/{atc_booking_id}?reason={reason}\\n\\nRespuesta:\\n{\\n \\\"booking_id\\\": \\\"atc-bk-111\\\",\\n \\\"status\\\": \\\"cancelled\\\"\\n}\\n```\\n\\n#### 5.4. Consultar estado de una reserva\\n\\n```\\nGET /api/v1/bookings/{atc_booking_id}\\n\\nRespuesta:\\n{\\n \\\"booking_id\\\": \\\"atc-bk-111\\\",\\n \\\"status\\\": \\\"confirmed\\\" | \\\"cancelled\\\" | \\\"completed\\\",\\n \\\"court_id\\\": \\\"court-456\\\",\\n \\\"datetime\\\": \\\"2026-03-25T14:00:00\\\"\\n}\\n```\\n\\n#### 5.5. Webhook \\u2014 Notificaciones desde ATC\\n\\nBallbox expone un endpoint que ATC llama ante cambios:\\n\\n```\\nPOST /ballbox/webhooks/atc\\n\\nPayload:\\n{\\n \\\"event\\\": \\\"booking_cancelled\\\" | \\\"court_unavailable\\\" | \\\"maintenance\\\",\\n \\\"atc_booking_id\\\": \\\"atc-bk-111\\\",\\n \\\"external_ref\\\": \\\"ballbox-bk-789\\\",\\n \\\"reason\\\": \\\"club_cancelled\\\" | \\\"court_blocked\\\",\\n \\\"affected_slots\\\": [\\\"2026-03-25T14:00:00\\\"]\\n}\\n```\\n\\nBallbox responde con `200 OK` y procesa el evento.\\n\\n#### 5.6. Autenticaci\\u00f3n\\n\\n- ATC provee `api_key` por club\\n- Ballbox env\\u00eda `Authorization: Bearer {api_key}` en cada request\\n- Ballbox expone webhook con firma HMAC para verificar origen\\n\\n---\\n\\n### 6. Configuraci\\u00f3n por club\\n\\nPara activar la integraci\\u00f3n, cada club configura en Ballbox:\\n\\n| Campo | Descripci\\u00f3n |\\n|-------|-------------|\\n| `atc_club_id` | Identificador del club en ATC |\\n| `atc_api_key` | Clave de API entregada por ATC |\\n| `sports_enabled` | Lista de deportes habilitados (tennis, padel, etc.) |\\n| `default_duration_minutes` | Duraci\\u00f3n por defecto de un training |\\n\\n---\\n\\n### 7. Roadmap de implementaci\\u00f3n sugerida\\n\\n**Fase 1 \\u2014 MVP (4-6 semanas)**\\n- Disponibilidad consulta\\n- Reserva de cancha\\n- Cancelaci\\u00f3n desde Ballbox\\n- Sincronizaci\\u00f3n unidireccional (Ballbox \\u2192 ATC)\\n\\n**Fase 2 \\u2014 Bidireccional (2-3 semanas)**\\n- Webhooks desde ATC\\n- Notificaciones al cliente\\n- Manejo de cancelaciones externas\\n\\n**Fase 3 \\u2014 Robustez (2 semanas)**\\n- Retry con backoff ante fallos de ATC\\n- Cola de sincronizaci\\u00f3n para fallos\\n- Panel de estado de integraci\\u00f3n por club\\n\\n---\\n\\n*Spec elaborado el 24 de marzo de 2026, basado en el patr\\u00f3n de integraci\\u00f3n de Matchable con MATCHi/Matchpoint/KNLTB.*\\n\\n## Fecha de corte\\n\\nInvestigacion basada en fuentes publicas verificadas disponibles el 24 de marzo de 2026.\\n\", \"format\": \"md\", \"status\": \"active\", \"source_ref\": \"personal-agent:run:a1ad721a-bcbc-473e-806d-0793fbbfaac2\", \"created_at\": \"2026-03-24T14:26:24.158968+00:00\", \"updated_at\": \"2026-03-24T15:39:47.195210+00:00\", \"metadata\": {\"report_type\": \"feature-use-case-map\", \"run_id\": \"a1ad721a-bcbc-473e-806d-0793fbbfaac2\", \"topic\": \"matchable\"}}, {\"id\": \"art_1cb15ded78c141abbfc2abd40a45e776\", \"task_id\": \"task_c20a048b387d4513ac38cf0e67bf83cd\", \"artifact_type\": \"delegation_note\", \"title\": \"Handoff personal-agent -> ai-dev-workflow\", \"content\": \"{\\\"completed_at\\\": \\\"2026-03-16T15:46:39.259060+00:00\\\", \\\"error_message\\\": null, \\\"from_agent\\\": \\\"personal-agent\\\", \\\"payload\\\": {\\\"evidence\\\": [\\\"personal_agent/runtime.py:451-492\\\", \\\"personal_agent/runtime.py:297-300\\\", \\\"tests/test_personal.py:909-914\\\", \\\"tests/test_personal.py:934-947\\\", \\\"docs/system-v1.md:114-115\\\"], \\\"goal\\\": \\\"Make ai-dev-workflow handoffs non-terminal on acceptance and gate parent completion on explicit downstream terminal execution results.\\\", \\\"repo\\\": \\\"personal-agent\\\", \\\"requirements\\\": [\\\"If a task decision creates an ai-dev-workflow handoff, do not mark the parent task completed yet.\\\", \\\"Model accepted as non-terminal for ai-dev-workflow handoffs.\\\", \\\"Require explicit downstream terminal result before handoff completion and parent-task completion.\\\", \\\"Update or add tests covering parent-task gating and accepted-vs-terminal handoff states.\\\", \\\"Update docs to remove the 'accepted JSON' success contract.\\\"], \\\"scope\\\": [\\\"personal_agent/runtime.py\\\", \\\"tests/test_personal.py\\\", \\\"docs/system-v1.md\\\", \\\"README.md\\\"], \\\"task_id\\\": \\\"task_c20a048b387d4513ac38cf0e67bf83cd\\\"}, \\\"reason\\\": \\\"personal-agent currently marks parent tasks complete on handoff acceptance instead of downstream execution result\\\", \\\"result_summary\\\": \\\"Deprecated durable ai-dev-workflow handoff. Re-run this work through the code subagent.\\\", \\\"status\\\": \\\"failed\\\", \\\"to_agent\\\": \\\"ai-dev-workflow\\\"}\", \"format\": \"json\", \"status\": \"active\", \"source_ref\": \"migration:v2\", \"created_at\": \"2026-03-24T14:18:16.802651+00:00\", \"updated_at\": \"2026-03-24T14:18:16.802652+00:00\", \"metadata\": {}}, {\"id\": \"art_a6773502ed4d46d09eed3e41081c0c68\", \"task_id\": \"task_2111a366cf73412eadb396acc1c2d004\", \"artifact_type\": \"delegation_note\", \"title\": \"Handoff personal-agent -> ai-dev-workflow\", \"content\": \"{\\\"completed_at\\\": \\\"2026-03-16T15:46:39.272531+00:00\\\", \\\"error_message\\\": null, \\\"from_agent\\\": \\\"personal-agent\\\", \\\"payload\\\": {\\\"expected_artifacts\\\": [\\\"report\\\"], \\\"idempotency_key\\\": \\\"task_2111a366cf73412eadb396acc1c2d004\\\", \\\"intent\\\": \\\"fix in http://127.0.0.1:8082/ UI, in the \\\\\\\"blocked tasks\\\\\\\" input, it looses focus after 1-2 seconds. Doesnt happen for ex on \\\\\\\"NEW INTAKE\\\\\\\"'s input\\\", \\\"route\\\": {\\\"codex_instruction\\\": \\\"Use Python as the shell entrypoint for persistence, approvals, auditability, and shared DB state; reproduce on http://127.0.0.1:8082/, inspect the blocked-tasks input vs NEW INTAKE input render/update paths, fix the remount or state-reset causing blur, then run full repo checks.\\\", \\\"delegation_target\\\": \\\"ai-dev-workflow\\\", \\\"planning_source\\\": \\\"codex\\\", \\\"primary_agent\\\": \\\"code\\\", \\\"reason\\\": \\\"UI focus-loss bug in local app; repo debugging and fix first, with personal-agent context kept for stateful workflow.\\\", \\\"secondary_agent\\\": \\\"personal\\\"}, \\\"task_id\\\": \\\"task_2111a366cf73412eadb396acc1c2d004\\\"}, \\\"reason\\\": \\\"UI focus-loss bug in local app; repo debugging and fix first, with personal-agent context kept for stateful workflow.\\\", \\\"result_summary\\\": \\\"Deprecated durable ai-dev-workflow handoff. 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Doesnt happen for ex on \\\\\\\"NEW INTAKE\\\\\\\"'s input\\\", \\\"route\\\": {\\\"codex_instruction\\\": \\\"Use Python entrypoints/scripts for any persistence, approvals, and audit logging; reproduce the focus loss at http://127.0.0.1:8082/, inspect the blocked-tasks input path versus NEW INTAKE, fix the rerender/state-reset cause, then run repo checks and capture evidence.\\\", \\\"delegation_target\\\": \\\"ai-dev-workflow\\\", \\\"planning_source\\\": \\\"codex\\\", \\\"primary_agent\\\": \\\"code\\\", \\\"reason\\\": \\\"Local UI focus-loss bug in repo; needs code debugging with brief coordination context.\\\", \\\"secondary_agent\\\": \\\"personal\\\"}, \\\"task_id\\\": \\\"task_fd7cf4ad58e041da821c13d446f27996\\\"}, \\\"reason\\\": \\\"Local UI focus-loss bug in repo; needs code debugging with brief coordination context.\\\", \\\"result_summary\\\": \\\"Deprecated durable ai-dev-workflow handoff. 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Re-run this work through the code subagent.\\\", \\\"status\\\": \\\"failed\\\", \\\"to_agent\\\": \\\"ai-dev-workflow\\\"}\", \"format\": \"json\", \"status\": \"active\", \"source_ref\": \"migration:v2\", \"created_at\": \"2026-03-24T14:18:16.802589+00:00\", \"updated_at\": \"2026-03-24T14:18:16.802590+00:00\", \"metadata\": {}}, {\"id\": \"art_f512f87edb3f4c56bff2767964cdd312\", \"task_id\": \"task_2e1c07a93b9d40598bb4bfa504a5d726\", \"artifact_type\": \"delegation_note\", \"title\": \"Handoff personal-agent -> ai-dev-workflow\", \"content\": \"{\\\"completed_at\\\": \\\"2026-03-16T15:46:39.286009+00:00\\\", \\\"error_message\\\": null, \\\"from_agent\\\": \\\"personal-agent\\\", \\\"payload\\\": {\\\"expected_artifacts\\\": [\\\"report\\\"], \\\"idempotency_key\\\": \\\"task_2e1c07a93b9d40598bb4bfa504a5d726\\\", \\\"intent\\\": \\\"Smoke task: assess current V1 readiness and propose one safe internal next step, no repo work and no external actions.\\\", \\\"route\\\": {\\\"codex_instruction\\\": \\\"\\\", \\\"delegation_target\\\": \\\"ai-dev-workflow\\\", \\\"planning_source\\\": \\\"fallback\\\", \\\"primary_agent\\\": \\\"code\\\", \\\"reason\\\": \\\"code work (repo)\\\", \\\"secondary_agent\\\": null}, \\\"task_id\\\": \\\"task_2e1c07a93b9d40598bb4bfa504a5d726\\\"}, \\\"reason\\\": \\\"code work (repo)\\\", \\\"result_summary\\\": \\\"Deprecated durable ai-dev-workflow handoff. Re-run this work through the code subagent.\\\", \\\"status\\\": \\\"failed\\\", \\\"to_agent\\\": \\\"ai-dev-workflow\\\"}\", \"format\": \"json\", \"status\": \"active\", \"source_ref\": \"migration:v2\", \"created_at\": \"2026-03-24T14:18:16.802544+00:00\", \"updated_at\": \"2026-03-24T14:18:16.802546+00:00\", \"metadata\": {}}, {\"id\": \"art_2778eb43a141444b9f9ea6408e009340\", \"task_id\": \"task_ed6a38c1b49f4e829e067d49d206148b\", \"artifact_type\": \"delegation_note\", \"title\": \"Handoff personal-agent -> ai-dev-workflow\", \"content\": \"{\\\"completed_at\\\": \\\"2026-03-16T15:46:39.288035+00:00\\\", \\\"error_message\\\": null, \\\"from_agent\\\": \\\"personal-agent\\\", \\\"payload\\\": {\\\"expected_artifacts\\\": [\\\"report\\\"], \\\"idempotency_key\\\": \\\"task_ed6a38c1b49f4e829e067d49d206148b\\\", \\\"intent\\\": \\\"Smoke test after codex CLI fix: summarize current runtime health and suggest one safe internal next step only.\\\", \\\"route\\\": {\\\"codex_instruction\\\": \\\"\\\", \\\"delegation_target\\\": \\\"ai-dev-workflow\\\", \\\"planning_source\\\": \\\"fallback\\\", \\\"primary_agent\\\": \\\"code\\\", \\\"reason\\\": \\\"code work (fix)\\\", \\\"secondary_agent\\\": null}, \\\"task_id\\\": \\\"task_ed6a38c1b49f4e829e067d49d206148b\\\"}, \\\"reason\\\": \\\"code work (fix)\\\", \\\"result_summary\\\": \\\"Deprecated durable ai-dev-workflow handoff. Re-run this work through the code subagent.\\\", \\\"status\\\": \\\"failed\\\", \\\"to_agent\\\": \\\"ai-dev-workflow\\\"}\", \"format\": \"json\", \"status\": \"active\", \"source_ref\": \"migration:v2\", \"created_at\": \"2026-03-24T14:18:16.802511+00:00\", \"updated_at\": \"2026-03-24T14:18:16.802513+00:00\", \"metadata\": {}}, {\"id\": \"art_55b1c9bdee6f4226a81a9160c4703b62\", \"task_id\": \"task_afed9eaf504f42b99348a815d56148cc\", \"artifact_type\": \"delegation_note\", \"title\": \"Handoff personal-agent -> implementation-agent\", \"content\": \"{\\\"completed_at\\\": \\\"2026-03-14T21:29:18.517341+00:00\\\", \\\"error_message\\\": null, \\\"from_agent\\\": \\\"personal-agent\\\", \\\"payload\\\": {\\\"artifact_id\\\": \\\"art_598b5da707dd47709fc0fe9bb3e79e28\\\", \\\"epic_id\\\": \\\"task_afed9eaf504f42b99348a815d56148cc\\\", \\\"expected_artifacts\\\": [\\\"migration_report\\\", \\\"v1_cross_reference_report\\\"], \\\"idempotency_key\\\": \\\"task_afed9eaf504f42b99348a815d56148cc\\\", \\\"remaining_task_ids\\\": [\\\"task_a240986d7c8a4474ba5246536769deed\\\", \\\"task_c0b65186af7d4013b2c1d2906ea6a28e\\\"]}, \\\"reason\\\": \\\"Finish remaining V1 migration and GitHub cross-reference work\\\", \\\"result_summary\\\": \\\"Finished legacy bridge and V1 multi-repo cross-reference work; shared DB now contains the resume anchors and completion artifacts.\\\", \\\"status\\\": \\\"completed\\\", \\\"to_agent\\\": \\\"implementation-agent\\\"}\", \"format\": \"json\", \"status\": \"active\", \"source_ref\": \"migration:v2\", \"created_at\": \"2026-03-24T14:18:16.802221+00:00\", \"updated_at\": \"2026-03-24T14:18:16.802225+00:00\", \"metadata\": {}}, {\"id\": \"art_8dcad6182a03483aa914ad451db388fa\", \"task_id\": \"task_ac84e7e584494c2a95ed4a5bd2e1f92b\", \"artifact_type\": \"run_failure\", \"title\": \"Codex failure for links en la UI de 8082 en markdown andan mal cuando son archivos porque se marcan como relative d...\", \"content\": \"# Codex run failed\\n\\n- Exit code: 1\\n\\n## Stderr\\nOpenAI Codex v0.115.0 (research preview)\\n--------\\nworkdir: /Users/sebas/Code/ai-dev-workflow\\nmodel: gpt-5.4\\nprovider: openai\\napproval: never\\nsandbox: danger-full-access\\nreasoning effort: none\\nreasoning summaries: none\\nsession id: 019cfdaa-6e65-7d62-801b-03d94c51ba23\\n--------\\nuser\\nYou are running as a direct Codex execution for personal-agent.\\nWork from this repository root: /Users/sebas/Code/ai-dev-workflow\\nUse the repository's local rules and skills.\\nImplement directly when needed.\\nReturn markdown only.\\nInclude these sections:\\n- Summary\\n- Changes\\n- Verification\\n- Outputs\\nIn Outputs, list any branch, PR, file paths, or artifacts created.\\n\\nTask: links en la UI de 8082 en markdown andan mal cuando son archivos porque se marcan como relative de localhost:8082. deberian ser absolute paths (file://...)\\nRelevant memory:\\n- Task completed: investigar playtomic y armar un mapeo exhaustivo de todas sus features y use cases. Primero un br...: ## Brief ejecutivo\\n\\n**Qu\\u00e9 es Playtomic**\\n\\nPlaytomic es una plataforma de dos caras para deportes de raqueta y, en partes del producto, otros deportes de pista/cancha. Tiene cuatro \\n- Task completed: Improve daemon/UI operator workflow and task communication: # Findings\\n\\n## Already implemented\\n\\n- Interrupted run recovery exists in `personal_agent/runtime.py:930`: stale `running` task runs are marked `interrupted`, an `execution_state` a\\n- Task completed: In /Users/sebas/Code/calistenia, change a tiny UI string in the app and run repo checks: ## Findings\\n- Repo was clean before edit.\\n- Remaining user-visible typo found in filter config: `Musculo`.\\n- No `lint`, `typecheck`, or `test` scripts exist in `package.json`; repo\\nmcp: figma starting\\nmcp: figma ready\\nmcp startup: ready: figma\\nERROR: You've hit your usage limit. Upgrade to Pro (https://chatgpt.com/explore/pro), visit https://chatgpt.com/codex/settings/usage to purchase more credits or try again at Mar 18th, 2026 2:28 PM.\\nWarning: no last agent message; wrote empty content to /Users/sebas/personal-agent/data/runs/run_7895a9b3e900469984a61ea6092271fc.md\", \"format\": \"md\", \"status\": \"active\", \"source_ref\": \"personal-agent\", \"created_at\": \"2026-03-17T21:18:55.514267+00:00\", \"updated_at\": \"2026-03-17T21:18:55.514267+00:00\", \"metadata\": {\"classification\": \"intermediate\", \"run_id\": \"run_7895a9b3e900469984a61ea6092271fc\"}}, {\"id\": \"art_smoke_markdown_file_links\", \"task_id\": \"task_smoke_markdown_file_links\", \"artifact_type\": \"report\", \"title\": \"smoke markdown file links\", \"content\": \"[tmp](personal-agent-markdown-link-test.md)\", \"format\": \"md\", \"status\": \"active\", \"source_ref\": \"personal-agent:smoke\", \"created_at\": \"2026-03-17T21:11:26.188844+00:00\", \"updated_at\": \"2026-03-17T21:11:26.188844+00:00\", \"metadata\": {\"cwd\": \"/tmp\"}}, {\"id\": \"art_5e03c108db5345269e77d02e21d07dd9\", \"task_id\": \"task_84da4829fdea45728971df65c57ff33f\", \"artifact_type\": \"report\", \"title\": \"Codex result for Document the current Raycast-based fullscreen notification and reply implementation for Codex.\", \"content\": \"Hi Sebas. Kept it tight.\\n\\nDocumented current live flow in [docs/raycast-codex-notify.md](/Users/sebas/personal-agent/docs/raycast-codex-notify.md). It captures the actual implementation split between `~/.codex/hooks/notify_macos.sh` and `~/Code/raycast-codex-reply`, including:\\n\\n- notify hook decision path\\n- rollout-message recovery from `~/.codex/state_5.sqlite`\\n- Raycast reply bridge files + deeplinks\\n- approval watcher flow\\n- fallback AppleScript dialog\\n- explicit note that `personal-agent`\\u2019s old blocker/reply path is removed, so this is not handled by the current runtime\\n\\nAdded a README pointer at [README.md](/Users/sebas/personal-agent/README.md).\\n\\nVerification: `./scripts/run-checks.sh` passed.\", \"format\": \"md\", \"status\": \"active\", \"source_ref\": \"personal-agent\", \"created_at\": \"2026-03-17T02:12:31.505135+00:00\", \"updated_at\": \"2026-03-17T02:12:31.505135+00:00\", \"metadata\": {\"classification\": \"deliverable\", \"cwd\": \"/Users/sebas/personal-agent\", \"output_refs\": {\"paths\": [\"./scripts/run-checks.sh\", \"~/.codex/hooks/notify_macos.sh\", \"~/.codex/state_5.sqlite\", \"~/Code/raycast-codex-reply\"]}, \"run_id\": \"run_9f50b4d09e5842498c055923a851c678\"}}, {\"id\": \"art_d69dff710f97429882a05b0ec979ac5b\", \"task_id\": \"task_be1a1e514a7d43d1b59009ccca9fb57c\", \"artifact_type\": \"report\", \"title\": \"Codex result for Migrate remaining personal-agent legacy persistence/read paths to the shared task/runtime model\", \"content\": \"Hi. Legacy seam closed.\\n\\nCanonical shared-memory model now drives personal-agent surfaces from [shared_memory.py](/Users/sebas/personal-agent/personal_agent/shared_memory.py), with `personal-agent-memory-v1` and `personal-agent-task-v1` helpers, canonical kind detection, and an actual in-place migrator for old memory/task records plus legacy approval memories. [research_store.py](/Users/sebas/personal-agent/personal_agent/research_store.py) now reads/writes canonical run/source/claim/artifact/task records, drops the old bridge fallback for run inspection, uses native approvals rows for request/list/resolve, and includes approvals in search results. [router.py](/Users/sebas/personal-agent/personal_agent/router.py) now mirrors handoffs with canonical memory metadata, and [scripts/personal.py](/Users/sebas/personal-agent/scripts/personal.py) wires `approvals resolve` back into the CLI. [migration.py](/Users/sebas/personal-agent/personal_agent/migration.py) now runs real migration work instead of no-op, and [README.md](/Users/sebas/personal-agent/README.md) reflects the new model.\\n\\nCoverage added in [tests/test_personal.py](/Users/sebas/personal-agent/tests/test_personal.py) for canonical research records, native approval lifecycle, and legacy migration behavior. Verified with `./scripts/run-checks.sh` and `git diff --check`; both passed. No daemon/UI smoke run.\", \"format\": \"md\", \"status\": \"active\", \"source_ref\": \"personal-agent\", \"created_at\": \"2026-03-17T02:02:06.161088+00:00\", \"updated_at\": \"2026-03-17T02:02:06.161088+00:00\", \"metadata\": {\"classification\": \"deliverable\", \"cwd\": \"/Users/sebas/personal-agent\", \"output_refs\": {\"paths\": [\" helpers, canonical kind detection, and an actual in-place migrator for old memory/task records plus legacy approval memories. [research_store.py](/Users/sebas/personal-agent/personal_agent/research_store.py) now reads/writes canonical run/source/claim/artifact/task records, drops the old bridge fallback for run inspection, uses native approvals rows for request/list/resolve, and includes approvals in search results. [router.py](/Users/sebas/personal-agent/personal_agent/router.py) now mirrors handoffs with canonical memory metadata, and [scripts/personal.py](/Users/sebas/personal-agent/scripts/personal.py) wires \", \"./scripts/run-checks.sh\"]}, \"run_id\": \"run_b694a238b532454bb547c056246a31fd\"}}, {\"id\": \"art_b4f5386484794717b0ddc4c42c265319\", \"task_id\": \"task_871c609196b94132aa686188007f6dea\", \"artifact_type\": \"report\", \"title\": \"Codex result for Consolidate all Ballbox payment-system work from demo validation through production readiness and go-live certification.\", \"content\": \"Consolidated into one active workflow.\\n\\nCreated local repo mapping in [.agents/local-config.json](/Users/sebas/Code/ai-dev-workflow/.agents/local-config.json), set current feature in [.agents/current-feature](/Users/sebas/Code/ai-dev-workflow/.agents/current-feature), and wrote the active feature context in [.agents/feature-contexts/ballbox-payment-system-prod-readiness.json](/Users/sebas/Code/ai-dev-workflow/.agents/feature-contexts/ballbox-payment-system-prod-readiness.json). Added the execution brief/checklist in [docs/ballbox-payment-system-consolidation.md](/Users/sebas/Code/ai-dev-workflow/docs/ballbox-payment-system-consolidation.md).\\n\\nKey consolidation outcome: `ballbox` is stable/demo-facing only; `ballbox-payment-integration` is the real workstream. Demo validation exists now. Production hardening is partially drafted but unstaged in backend. Go-live certification is still blocked by two real gaps: missing TCN/Yunshu live adapter contract, and unvalidated MercadoPago real QR flow.\\n\\nVerification: JSON valid. Shared-memory sync failed because `shared_agent_memory` is not installed/importable in this environment. Control repo also remains behind `origin/main` by 1 commit: `111e974 Feat: accept shared memory run-task handoffs (#2)`. I did not pull because this branch is also 3 commits ahead.\\n\\nBest next move: review and commit the backend readiness slice in `~/Code/ballbox-payment-integration`, then `/status --current`.\", \"format\": \"md\", \"status\": \"active\", \"source_ref\": \"personal-agent\", \"created_at\": \"2026-03-17T01:55:28.432378+00:00\", \"updated_at\": \"2026-03-17T01:55:28.432378+00:00\", \"metadata\": {\"classification\": \"deliverable\", \"cwd\": \"/Users/sebas/Code/ai-dev-workflow\", \"output_refs\": {\"paths\": [\" is not installed/importable in this environment. Control repo also remains behind \", \" is stable/demo-facing only; \", \"~/Code/ballbox-payment-integration\"]}, \"run_id\": \"run_80140950f2c04d10bd3941d712ab0b25\"}}, {\"id\": \"art_a5cbdcb711234fd3b8306f379678523c\", \"task_id\": \"task_746e1a74f77b4cb0b8e3fd950fad90cb\", \"artifact_type\": \"report\", \"title\": \"link smoke\", \"content\": \"[tct](link) [txt](link.com)\", \"format\": \"md\", \"status\": \"active\", \"source_ref\": \"personal-agent\", \"created_at\": \"2026-03-16T20:42:13.176072+00:00\", \"updated_at\": \"2026-03-16T20:42:13.176072+00:00\", \"metadata\": {}}, {\"id\": \"art_322e6f0e62724030b8d995053a5ec674\", \"task_id\": \"task_2f22e794212641c49d7f8a600ad3a4bd\", \"artifact_type\": \"report\", \"title\": \"Codex result for en personal-agent que el script que hace restart del daemon pause tareas corriendo (como sea, que...\", \"content\": \"## Summary\\nImplementado en `personal-agent`: el restart del daemon ahora pausa runs activas, las deja en estado reiniciable, y al levantar de nuevo el runtime intenta relanzarlas solo. Tambi\\u00e9n blind\\u00e9 el watcher para que un run ya pausado no termine marcado como fallo cuando llega el `SIGTERM`.\\n\\n## Changes\\n- [`/Users/sebas/personal-agent/personal_agent/runtime.py`](file:///Users/sebas/personal-agent/personal_agent/runtime.py)\\n - agregado `pause_running_tasks()`\\n - `stop()` ahora puede pausar antes de terminar procesos\\n - runs `running` recuperadas tras restart/crash pasan a `paused`, task vuelve a `draft`, metadata marca `auto_restart_on_daemon_start`\\n - en boot, `_restart_paused_runs()` relanza tasks pausadas con `cwd`/prompt guardados\\n - `_watch_run()` sale temprano si el run ya no est\\u00e1 `running`, evita falso `failed`\\n- [`/Users/sebas/personal-agent/scripts/personal.py`](file:///Users/sebas/personal-agent/scripts/personal.py)\\n - nuevo comando `pause-running --reason ...`\\n- [`/Users/sebas/personal-agent/scripts/daemon-8082.sh`](file:///Users/sebas/personal-agent/scripts/daemon-8082.sh)\\n - `restart` ahora ejecuta `python3 scripts/personal.py pause-running ...` antes de `stop/start`\\n- [`/Users/sebas/personal-agent/tests/test_personal.py`](file:///Users/sebas/personal-agent/tests/test_personal.py)\\n - actualizado recovery test para validar pause + auto-restart\\n - nuevo test para pause/shutdown race, sin false failure/artifact\\n\\n## Verification\\n- `python3 -m unittest tests.test_personal` \\u2705\\n- `./scripts/run-checks.sh` \\u2705\\n- `./scripts/daemon-8082.sh restart`\\n - pause step ejecut\\u00f3 bien\\n - restart completo bloqueado por entorno actual: `\\\"foreign listener on 127.0.0.1:8082 (pid 18283); refusing to stop it\\\"`\\n- `curl -fsS http://127.0.0.1:8082/api/status` \\u2705\\n - confirm\\u00f3 que la task activa qued\\u00f3 `draft` con latest run `paused`\\n\\n## Outputs\\n- Branch: none\\n- PR: none\\n- Files changed:\\n - [`/Users/sebas/personal-agent/personal_agent/runtime.py`](file:///Users/sebas/personal-agent/personal_agent/runtime.py)\\n - [`/Users/sebas/personal-agent/scripts/personal.py`](file:///Users/sebas/personal-agent/scripts/personal.py)\\n - [`/Users/sebas/personal-agent/scripts/daemon-8082.sh`](file:///Users/sebas/personal-agent/scripts/daemon-8082.sh)\\n - [`/Users/sebas/personal-agent/tests/test_personal.py`](file:///Users/sebas/personal-agent/tests/test_personal.py)\\n- Artifacts created: none\", \"format\": \"md\", \"status\": \"active\", \"source_ref\": \"personal-agent\", \"created_at\": \"2026-03-16T20:25:49.823843+00:00\", \"updated_at\": \"2026-03-16T20:25:49.823843+00:00\", \"metadata\": {\"classification\": \"deliverable\", \"cwd\": \"/Users/sebas/personal-agent\", \"output_refs\": {\"branches\": [\"none\"], \"paths\": [\" recuperadas tras restart/crash pasan a \", \"./scripts/daemon-8082.sh restart\", \"./scripts/run-checks.sh\", \"/Users/sebas/personal-agent/personal_agent/runtime.py\", \"/Users/sebas/personal-agent/scripts/daemon-8082.sh\", \"/Users/sebas/personal-agent/scripts/personal.py\", \"/Users/sebas/personal-agent/tests/test_personal.py\", \"curl -fsS http://127.0.0.1:8082/api/status\", \"python3 scripts/personal.py pause-running ...\", \"stop/start\"]}, \"run_id\": \"run_8ff645c9a9ad4d558df0265495267a41\"}}, {\"id\": \"art_d7f2bb1c7a204e56834b97bc4e77989b\", \"task_id\": \"task_8a866bb8156441ff8cee2f0f9f28e0c5\", \"artifact_type\": \"report\", \"title\": \"Codex result for en un worktree nuevo en personal-agent, agregar soporte markdown para links (ej. aca http://127.0...\", \"content\": \"## Summary\\nAgregado soporte markdown para links en artifacts/report renderizados por el daemon. `[USECASE.md](http://...)` ahora sale como `<a>` clickable, no literal. Hecho en worktree nuevo; adem\\u00e1s dej\\u00e9 un test existente compatible con worktrees.\\n\\n## Changes\\n- Link markdown inline en [personal_agent/daemon.py](/Users/sebas/personal-agent-wt-markdown-links/personal_agent/daemon.py#L630)\\n - parse `[label](href)`\\n - `href` allowlist: `http`, `https`, `mailto`, `/`, `./`, `../`, `#`\\n - links no seguros quedan literales\\n- Tests en [tests/test_personal.py](/Users/sebas/personal-agent-wt-markdown-links/tests/test_personal.py#L1653)\\n - cubre render de link local `http://127.0.0.1:8082/artifacts/...`\\n - cubre fallback seguro para `javascript:...`\\n- Fix de test fr\\u00e1gil para worktree en [tests/test_personal.py](/Users/sebas/personal-agent-wt-markdown-links/tests/test_personal.py#L1345)\\n - deja de asumir path absoluto fijo del repo principal\\n\\n## Verification\\n- `./scripts/run-checks.sh`\\n- Resultado: `Ran 36 tests ... OK`\\n\\n## Outputs\\n- Worktree: `/Users/sebas/personal-agent-wt-markdown-links`\\n- Branch: `fix-artifact-markdown-links`\\n- Files changed:\\n - [personal_agent/daemon.py](/Users/sebas/personal-agent-wt-markdown-links/personal_agent/daemon.py)\\n - [tests/test_personal.py](/Users/sebas/personal-agent-wt-markdown-links/tests/test_personal.py)\\n- PR: none\\n- Artifacts: none\", \"format\": \"md\", \"status\": \"active\", \"source_ref\": \"personal-agent\", \"created_at\": \"2026-03-16T19:15:50.674755+00:00\", \"updated_at\": \"2026-03-16T19:15:50.674755+00:00\", \"metadata\": {\"classification\": \"deliverable\", \"cwd\": \"/Users/sebas/personal-agent\", \"output_refs\": {\"paths\": [\"./scripts/run-checks.sh\", \"/Users/sebas/personal-agent-wt-markdown-links\", \"[USECASE.md](http://...)\"]}, \"run_id\": \"run_cce5f6d82e0148f6a56c9c12d159711e\"}}]}, \"audit\": {\"schema_version\": \"shared-agent-memory-v2\", \"memories\": 315, \"tasks\": 194, \"approvals\": 0, \"handoffs\": 0, \"maintenance_jobs\": 4, \"legacy_memory_rows\": 0, \"legacy_task_rows\": 0}}","truncated":true,"truncatedBy":"bytes","totalLines":1,"totalBytes":96304,"outputLines":1,"outputBytes":51200,"lastLinePartial":true,"firstLineExceedsLimit":false,"maxLines":2000,"maxBytes":51200},"fullOutputPath":"/tmp/pi-bash-79f79599ca5c7e95.log"},"isError":false,"timestamp":1776390068075}} {"type":"message","id":"0c0fcb77","parentId":"50e9277d","timestamp":"2026-04-17T01:41:12.054Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_Ujzz4nennBFNBCPXouCuF7A5|fc_0fd7a590eb8baf350169e18fb549488197a26f1955173e48ff","name":"bash","arguments":{"command":"~/.agents/skills/memory-write/memory-write --type decision --scope global --title 'Agents database service path moved to /mnt/rpi' --content 'Fixed failing agents-database HTTP API on ballbox-first. Root cause: user systemd unit still pointed to deleted /home/sebas/agents-database working directory, DB path, and run script after repo moved to /mnt/rpi/agents-database. Updated unit to use /mnt/rpi/agents-database and restarted service; /api/search works again.' --source-ref 'conversation:2026-04-17:agents-database-fix' --origin-agent personal-agent","timeout":20}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":15063,"output":154,"cacheRead":11264,"cacheWrite":0,"totalTokens":26481,"cost":{"input":0.037657500000000003,"output":0.00231,"cacheRead":0.002816,"cacheWrite":0,"total":0.0427835}},"stopReason":"toolUse","timestamp":1776390068080,"responseId":"resp_0fd7a590eb8baf350169e18fb47f088197ad47a22804d55cd4"}} {"type":"message","id":"24ab9cab","parentId":"0c0fcb77","timestamp":"2026-04-17T01:41:12.230Z","message":{"role":"toolResult","toolCallId":"call_Ujzz4nennBFNBCPXouCuF7A5|fc_0fd7a590eb8baf350169e18fb549488197a26f1955173e48ff","toolName":"bash","content":[{"type":"text","text":"{\"id\": \"mem_f46f49e9e55c40a98c9a828f5775f2db\", \"type\": \"decision\", \"scope\": \"global\", \"status\": \"active\", \"project_id\": null, \"repo_id\": null, \"agent_id\": null, \"source_kind\": \"manual\", \"title\": \"Agents database service path moved to /mnt/rpi\", \"content\": \"Fixed failing agents-database HTTP API on ballbox-first. Root cause: user systemd unit still pointed to deleted /home/sebas/agents-database working directory, DB path, and run script after repo moved to /mnt/rpi/agents-database. Updated unit to use /mnt/rpi/agents-database and restarted service; /api/search works again.\", \"summary\": \"Fixed failing agents-database HTTP API on ballbox-first. Root cause: user systemd unit still pointed to deleted /home/sebas/agents-database working directory, DB path, and run scr\\u2026\", \"confidence\": 1.0, \"freshness\": 1.0, \"created_at\": \"2026-04-17T01:41:12.137133+00:00\", \"updated_at\": \"2026-04-17T01:41:12.137133+00:00\", \"observed_at\": \"2026-04-17T01:41:12.137133+00:00\", \"source_ref\": \"conversation:2026-04-17:agents-database-fix\", \"evidence_ref\": null, \"schema_version\": \"shared-agent-memory-v2\", \"subtype\": null, \"run_id\": null, \"task_id\": null, \"url\": null, \"domain\": null, \"origin_agent\": \"personal-agent\", \"metadata\": {}, \"embedding\": null}\n"}],"isError":false,"timestamp":1776390072230}} {"type":"message","id":"706acca7","parentId":"24ab9cab","timestamp":"2026-04-17T01:41:22.471Z","message":{"role":"assistant","content":[{"type":"text","text":"Sí. Yo encontré causa y arreglé.\n\nQué pasó:\n- servicio `agents-database-http` seguía apuntando a ruta vieja:\n - `WorkingDirectory=/home/sebas/agents-database`\n - `DB_PATH=/home/sebas/agents-database/data/shared-agent-memory.sqlite3`\n - `ExecStart=/home/sebas/agents-database/scripts/run-http-api.sh`\n- pero repo real ahora vive en:\n - `/mnt/rpi/agents-database`\n- proceso seguía vivo, puerto 8091 abierto, pero cada request moría con:\n - `sqlite3.OperationalError: unable to open database file`\n- además `/proc/1336/cwd` mostraba:\n - `/home/sebas/agents-database (deleted)`\n\nArreglo hecho:\n- edité unit file:\n - `/home/sebas/.config/systemd/user/agents-database-http.service`\n- cambié todo a `/mnt/rpi/agents-database`\n- hice:\n - `systemctl --user daemon-reload`\n - `systemctl --user restart agents-database-http.service`\n\nResultado:\n- API volvió a responder\n- `/api/search` funciona otra vez\n- DB real en `/mnt/rpi/agents-database/data/shared-agent-memory.sqlite3` está sana\n - `PRAGMA quick_check = ok`\n\nMemoria guardada:\n- sí, guardé una memoria durable con este fix\n- id: `mem_f46f49e9e55c40a98c9a828f5775f2db`\n\nConclusión simple:\n- no era corrupción de sqlite\n- era config rota por move de repo, service quedó apuntando a path borrado\n\nSi quieres, siguiente paso bueno:\n1. yo reviso si hay otros services/scripts todavía apuntando a `/home/sebas/agents-database`\n2. yo dejo hardening para que falle ruidoso si DB path no existe\n3. yo verifico ahora si “la memoria nueva recientemente” sí quedó guardada","textSignature":"{\"v\":1,\"id\":\"msg_0fd7a590eb8baf350169e18fbaa4f4819796da410472ddf469\",\"phase\":\"final_answer\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":513,"output":424,"cacheRead":26368,"cacheWrite":0,"totalTokens":27305,"cost":{"input":0.0012825,"output":0.00636,"cacheRead":0.006592,"cacheWrite":0,"total":0.0142345}},"stopReason":"stop","timestamp":1776390072231,"responseId":"resp_0fd7a590eb8baf350169e18fb911e481979552d163bcc67b01"}} {"type":"message","id":"18e47be4","parentId":"706acca7","timestamp":"2026-04-17T01:41:56.758Z","message":{"role":"user","content":[{"type":"text","text":"1"}],"timestamp":1776390116758}} {"type":"message","id":"d4d871df","parentId":"18e47be4","timestamp":"2026-04-17T01:42:02.268Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_smO6VJMEcceG75thsCt8kqSu|fc_0fd7a590eb8baf350169e18fe5c5288197b7fda5d54df36c02","name":"bash","arguments":{"command":"set -o pipefail\nprintf '%s\\n' '--- FIND LIVE REFERENCES ---'\nrg -n --hidden --glob '!**/.git/**' '/home/sebas/agents-database|/mnt/rpi/agents-database' /home/sebas /mnt/rpi 2>/dev/null | sed -n '1,240p'\nprintf '%s\\n' '--- USER SYSTEMD ---'\nfind /home/sebas/.config/systemd/user -type f -maxdepth 2 -print0 2>/dev/null | xargs -0 rg -n '/home/sebas/agents-database|/mnt/rpi/agents-database' 2>/dev/null | sed -n '1,200p'\nprintf '%s\\n' '--- CRON/TIMERS/SCRIPTS ---'\ncrontab -l 2>/dev/null | rg -n 'agents-database' || true\nsystemctl --user list-timers --all --no-pager 2>/dev/null | sed -n '1,120p' || true","timeout":40}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":176,"output":247,"cacheRead":27136,"cacheWrite":0,"totalTokens":27559,"cost":{"input":0.00044,"output":0.003705,"cacheRead":0.006784,"cacheWrite":0,"total":0.010929000000000001}},"stopReason":"toolUse","timestamp":1776390116758,"responseId":"resp_0fd7a590eb8baf350169e18fe50ac0819793acc681a29695af"}} {"type":"message","id":"d6d15021","parentId":"d4d871df","timestamp":"2026-04-17T01:42:42.288Z","message":{"role":"toolResult","toolCallId":"call_smO6VJMEcceG75thsCt8kqSu|fc_0fd7a590eb8baf350169e18fe5c5288197b7fda5d54df36c02","toolName":"bash","content":[{"type":"text","text":": {\"cwd\": \"/home/sebas/personal-agent\", \"permission_mode\": \"danger-full-access\"}}, {\"id\": \"run_8d0e6570f6aa4e638f406afd86410cd2\", \"task_id\": \"task_2aba9ee8b06d45b9b4e88daa191e48de\", \"agent_id\": \"personal-agent\", \"status\": \"failed\", \"result_summary\": \"Codex run failed\", \"error_message\": \"2026-03-30T17:54:50.743437Z ERROR codex_core::auth: Failed to refresh token: 401 Unauthorized: {\\n \\\"error\\\": {\\n \\\"message\\\": \\\"Your refresh token has already been used to generate a new access token. Please try signing in again.\\\",\\n \\\"type\\\": \\\"invalid_request_error\\\",\\n \\\"param\\\": null,\\n \\\"code\\\": \\\"refresh_token_reused\\\"\\n }\\n}\\n2026-03-30T17:54:50.743508Z ERROR codex_core::auth: Failed to refresh token: Your access token could not be refreshed because your refresh token was already used. Please log\", \"started_at\": \"2026-03-30T17:54:50.026492+00:00\", \"completed_at\": \"2026-03-30T17:54:55.755757+00:00\", \"created_at\": \"2026-03-30T17:54:50.026492+00:00\", \"updated_at\": \"2026-03-30T17:54:55.755757+00:00\", \"input_payload\": {\"cwd\": \"/home/sebas/personal-agent\", \"permission_mode\": \"danger-full-access\"}, \"metadata\": {\"cwd\": \"/home/sebas/personal-agent\", \"permission_mode\": \"danger-full-access\"}}, {\"id\": \"run_00c54eac46524613a3830af1b3c0902b\", \"task_id\": \"task_remote_http_smoke\", \"agent_id\": \"personal-agent\", \"status\": \"paused\", \"result_summary\": \"Recovered interrupted run after daemon restart\", \"error_message\": \"Daemon restarted before Codex finished\", \"started_at\": \"2026-03-30T17:46:40.865981+00:00\", \"completed_at\": \"2026-03-30T18:06:19.743217+00:00\", \"created_at\": \"2026-03-30T17:46:40.865981+00:00\", \"updated_at\": \"2026-03-30T18:06:19.743217+00:00\", \"input_payload\": {\"mode\": \"http-smoke\"}, \"metadata\": {}}, {\"id\": \"run_2fe6e66998c0435088e9aa176ffafbea\", \"task_id\": \"task_aded7c9f5fe24efbb5467f9edc2a31a8\", \"agent_id\": \"personal-agent\", \"status\": \"failed\", \"result_summary\": \"Codex run failed\", \"error_message\": \"2026-03-30T17:46:12.289087Z ERROR codex_core::auth: Failed to refresh token: 401 Unauthorized: {\\n \\\"error\\\": {\\n \\\"message\\\": \\\"Your refresh token has already been used to generate a new access token. Please try signing in again.\\\",\\n \\\"type\\\": \\\"invalid_request_error\\\",\\n \\\"param\\\": null,\\n \\\"code\\\": \\\"refresh_token_reused\\\"\\n }\\n}\\n2026-03-30T17:46:12.293790Z ERROR codex_core::auth: Failed to refresh token: Your access token could not be refreshed because your refresh token was already used. Please log\", \"started_at\": \"2026-03-30T17:46:10.238417+00:00\", \"completed_at\": \"2026-03-30T17:46:17.816965+00:00\", \"created_at\": \"2026-03-30T17:46:10.238417+00:00\", \"updated_at\": \"2026-03-30T17:46:17.816965+00:00\", \"input_payload\": {\"cwd\": \"/home/sebas/personal-agent\", \"permission_mode\": \"danger-full-access\"}, \"metadata\": {\"cwd\": \"/home/sebas/personal-agent\", \"permission_mode\": \"danger-full-access\"}}, {\"id\": \"run_23a87188e0474eafbed8d02c5565f610\", \"task_id\": \"task_f5747cf204114258b8195991429fdd30\", \"agent_id\": \"personal-agent\", \"status\": \"paused\", \"result_summary\": \"Recovered interrupted run after daemon restart\", \"error_message\": \"Daemon restarted before Codex finished\", \"started_at\": \"2026-03-30T17:43:53.823633+00:00\", \"completed_at\": \"2026-03-30T17:45:50.523169+00:00\", \"created_at\": \"2026-03-30T17:43:53.823633+00:00\", \"updated_at\": \"2026-03-30T17:45:50.523169+00:00\", \"input_payload\": {\"cwd\": \"/home/sebas/personal-agent\", \"permission_mode\": \"danger-full-access\"}, \"metadata\": {\"cwd\": \"/home/sebas/personal-agent\", \"permission_mode\": \"danger-full-access\"}}, {\"id\": \"run_7895a9b3e900469984a61ea6092271fc\", \"task_id\": \"task_ac84e7e584494c2a95ed4a5bd2e1f92b\", \"agent_id\": \"personal-agent\", \"status\": \"failed\", \"result_summary\": \"Codex run failed\", \"error_message\": \"OpenAI Codex v0.115.0 (research preview)\\n--------\\nworkdir: /Users/sebas/Code/ai-dev-workflow\\nmodel: gpt-5.4\\nprovider: openai\\napproval: never\\nsandbox: danger-full-access\\nreasoning effort: none\\nreasoning summaries: none\\nsession id: 019cfdaa-6e65-7d62-801b-03d94c51ba23\\n--------\\nuser\\nYou are running as a direct Codex execution for personal-agent.\\nWork from this repository root: /Users/sebas/Code/ai-dev-workflow\\nUse the repository's local rules and skills.\\nImplement directly when needed.\\nReturn markd\", \"started_at\": \"2026-03-17T21:18:50.923782+00:00\", \"completed_at\": \"2026-03-17T21:18:55.516564+00:00\", \"created_at\": \"2026-03-17T21:18:50.923782+00:00\", \"updated_at\": \"2026-03-17T21:18:55.516564+00:00\", \"input_payload\": {\"cwd\": \"/Users/sebas/Code/ai-dev-workflow\", \"permission_mode\": \"danger-full-access\"}, \"metadata\": {\"cwd\": \"/Users/sebas/Code/ai-dev-workflow\", \"permission_mode\": \"danger-full-access\"}}, {\"id\": \"run_37ad3e7570bc4fd5b9a37d818d0fda6e\", \"task_id\": \"task_ac84e7e584494c2a95ed4a5bd2e1f92b\", \"agent_id\": \"personal-agent\", \"status\": \"paused\", \"result_summary\": \"Paused before daemon shutdown\", \"error_message\": \"daemon-8082.sh restart on 127.0.0.1:8082\", \"started_at\": \"2026-03-17T21:18:40.737089+00:00\", \"completed_at\": \"2026-03-17T21:18:40.740770+00:00\", \"created_at\": \"2026-03-17T21:18:40.737089+00:00\", \"updated_at\": \"2026-03-17T21:18:40.740770+00:00\", \"input_payload\": {\"cwd\": \"/Users/sebas/Code/ai-dev-workflow\", \"permission_mode\": \"danger-full-access\"}, \"metadata\": {\"cwd\": \"/Users/sebas/Code/ai-dev-workflow\", \"permission_mode\": \"danger-full-access\"}}, {\"id\": \"run_497e1265da834b2a81489174dbd77a93\", \"task_id\": \"task_ac84e7e584494c2a95ed4a5bd2e1f92b\", \"agent_id\": \"personal-agent\", \"status\": \"paused\", \"result_summary\": \"Recovered interrupted run after daemon restart\", \"error_message\": \"Daemon restarted before Codex finished\", \"started_at\": \"2026-03-17T21:16:44.784213+00:00\", \"completed_at\": \"2026-03-17T21:18:40.735286+00:00\", \"created_at\": \"2026-03-17T21:16:44.784213+00:00\", \"updated_at\": \"2026-03-17T21:18:40.735286+00:00\", \"input_payload\": {\"cwd\": \"/Users/sebas/Code/ai-dev-workflow\", \"permission_mode\": \"danger-full-access\"}, \"metadata\": {\"cwd\": \"/Users/sebas/Code/ai-dev-workflow\", \"permission_mode\": \"danger-full-access\"}}, {\"id\": \"run_987bf5ba81f1496293ce6962a4b4f7e8\", \"task_id\": \"task_ac84e7e584494c2a95ed4a5bd2e1f92b\", \"agent_id\": \"personal-agent\", \"status\": \"paused\", \"result_summary\": \"Paused before daemon shutdown\", \"error_message\": \"daemon-8082.sh restart on 127.0.0.1:8082\", \"started_at\": \"2026-03-17T21:16:34.523952+00:00\", \"completed_at\": \"2026-03-17T21:16:34.535105+00:00\", \"created_at\": \"2026-03-17T21:16:34.523952+00:00\", \"updated_at\": \"2026-03-17T21:16:34.535105+00:00\", \"input_payload\": {\"cwd\": \"/Users/sebas/Code/ai-dev-workflow\", \"permission_mode\": \"danger-full-access\"}, \"metadata\": {\"cwd\": \"/Users/sebas/Code/ai-dev-workflow\", \"permission_mode\": \"danger-full-access\"}}, {\"id\": \"run_731e31b66e924b068b800ef6d1c98806\", \"task_id\": \"task_ac84e7e584494c2a95ed4a5bd2e1f92b\", \"agent_id\": \"personal-agent\", \"status\": \"paused\", \"result_summary\": \"Recovered interrupted run after daemon restart\", \"error_message\": \"Daemon restarted before Codex finished\", \"started_at\": \"2026-03-17T21:15:13.447701+00:00\", \"completed_at\": \"2026-03-17T21:16:34.436403+00:00\", \"created_at\": \"2026-03-17T21:15:13.447701+00:00\", \"updated_at\": \"2026-03-17T21:16:34.436403+00:00\", \"input_payload\": {\"cwd\": \"/Users/sebas/Code/ai-dev-workflow\", \"permission_mode\": \"danger-full-access\"}, \"metadata\": {\"cwd\": \"/Users/sebas/Code/ai-dev-workflow\", \"permission_mode\": \"danger-full-access\"}}, {\"id\": \"run_b81ee8a406d34dc1ae574def83414531\", \"task_id\": \"task_ac84e7e584494c2a95ed4a5bd2e1f92b\", \"agent_id\": \"personal-agent\", \"status\": \"paused\", \"result_summary\": \"Paused before daemon shutdown\", \"error_message\": \"daemon-8082.sh restart on 127.0.0.1:8082\", \"started_at\": \"2026-03-17T21:15:02.882991+00:00\", \"completed_at\": \"2026-03-17T21:15:02.887949+00:00\", \"created_at\": \"2026-03-17T21:15:02.882991+00:00\", \"updated_at\": \"2026-03-17T21:15:02.887949+00:00\", \"input_payload\": {\"cwd\": \"/Users/sebas/Code/ai-dev-workflow\", \"permission_mode\": \"danger-full-access\"}, \"metadata\": {\"cwd\": \"/Users/sebas/Code/ai-dev-workflow\", \"permission_mode\": \"danger-full-access\"}}, {\"id\": \"run_e7e8d6e93b0c44dc887c0325c61e1435\", \"task_id\": \"task_ac84e7e584494c2a95ed4a5bd2e1f92b\", \"agent_id\": \"personal-agent\", \"status\": \"paused\", \"result_summary\": \"Recovered interrupted run after daemon restart\", \"error_message\": \"Daemon restarted before Codex finished\", \"started_at\": \"2026-03-17T21:13:02.009020+00:00\", \"completed_at\": \"2026-03-17T21:15:02.880465+00:00\", \"created_at\": \"2026-03-17T21:13:02.009020+00:00\", \"updated_at\": \"2026-03-17T21:15:02.880465+00:00\", \"input_payload\": {\"cwd\": \"/Users/sebas/Code/ai-dev-workflow\", \"permission_mode\": \"danger-full-access\"}, \"metadata\": {\"cwd\": \"/Users/sebas/Code/ai-dev-workflow\", \"permission_mode\": \"danger-full-access\"}}, {\"id\": \"run_2cd377601e9a48ef844ecd4f6b22dcb9\", \"task_id\": \"task_ac84e7e584494c2a95ed4a5bd2e1f92b\", \"agent_id\": \"personal-agent\", \"status\": \"paused\", \"result_summary\": \"Recovered interrupted run after daemon restart\", \"error_message\": \"Daemon restarted before Codex finished\", \"started_at\": \"2026-03-17T21:11:00.348736+00:00\", \"completed_at\": \"2026-03-17T21:13:02.004586+00:00\", \"created_at\": \"2026-03-17T21:11:00.348736+00:00\", \"updated_at\": \"2026-03-17T21:13:02.004586+00:00\", \"input_payload\": {\"cwd\": \"/Users/sebas/Code/ai-dev-workflow\", \"permission_mode\": \"danger-full-access\"}, \"metadata\": {\"cwd\": \"/Users/sebas/Code/ai-dev-workflow\", \"permission_mode\": \"danger-full-access\"}}, {\"id\": \"run_476004cf368147a7955eec2f3c16e807\", \"task_id\": \"task_ac84e7e584494c2a95ed4a5bd2e1f92b\", \"agent_id\": \"personal-agent\", \"status\": \"paused\", \"result_summary\": \"Paused before daemon shutdown\", \"error_message\": \"daemon-8082.sh restart on 127.0.0.1:8082\", \"started_at\": \"2026-03-17T21:10:50.019894+00:00\", \"completed_at\": \"2026-03-17T21:10:50.030192+00:00\", \"created_at\": \"2026-03-17T21:10:50.019894+00:00\", \"updated_at\": \"2026-03-17T21:10:50.030192+00:00\", \"input_payload\": {\"cwd\": \"/Users/sebas/Code/ai-dev-workflow\", \"permission_mode\": \"danger-full-access\"}, \"metadata\": {\"cwd\": \"/Users/sebas/Code/ai-dev-workflow\", \"permission_mode\": \"danger-full-access\"}}, {\"id\": \"run_12ab10b658544ffca19043d510ef506e\", \"task_id\": \"task_ac84e7e584494c2a95ed4a5bd2e1f92b\", \"agent_id\": \"personal-agent\", \"status\": \"paused\", \"result_summary\": \"Recovered interrupted run after daemon restart\", \"error_message\": \"Daemon restarted before Codex finished\", \"started_at\": \"2026-03-17T21:10:43.944476+00:00\", \"completed_at\": \"2026-03-17T21:10:50.017561+00:00\", \"created_at\": \"2026-03-17T21:10:43.944476+00:00\", \"updated_at\": \"2026-03-17T21:10:50.017561+00:00\", \"input_payload\": {\"cwd\": \"/Users/sebas/Code/ai-dev-workflow\", \"permission_mode\": \"danger-full-access\"}, \"metadata\": {\"cwd\": \"/Users/sebas/Code/ai-dev-workflow\", \"permission_mode\": \"danger-full-access\"}}, {\"id\": \"run_c6361e24f9244119bf0f88f1c6181858\", \"task_id\": \"task_ac84e7e584494c2a95ed4a5bd2e1f92b\", \"agent_id\": \"personal-agent\", \"status\": \"paused\", \"result_summary\": \"Paused before daemon shutdown\", \"error_message\": \"daemon-8082.sh restart on 127.0.0.1:8082\", \"started_at\": \"2026-03-17T21:10:33.739975+00:00\", \"completed_at\": \"2026-03-17T21:10:33.747554+00:00\", \"created_at\": \"2026-03-17T21:10:33.739975+00:00\", \"updated_at\": \"2026-03-17T21:10:33.747554+00:00\", \"input_payload\": {\"cwd\": \"/Users/sebas/Code/ai-dev-workflow\", \"permission_mode\": \"danger-full-access\"}, \"metadata\": {\"cwd\": \"/Users/sebas/Code/ai-dev-workflow\", \"permission_mode\": \"danger-full-access\"}}, {\"id\": \"run_82e28bd88e864a48a943c69c2b19bb31\", \"task_id\": \"task_ac84e7e584494c2a95ed4a5bd2e1f92b\", \"agent_id\": \"personal-agent\", \"status\": \"paused\", \"result_summary\": \"Recovered interrupted run after daemon restart\", \"error_message\": \"Daemon restarted before Codex finished\", \"started_at\": \"2026-03-17T21:09:17.108861+00:00\", \"completed_at\": \"2026-03-17T21:10:33.735387+00:00\", \"created_at\": \"2026-03-17T21:09:17.108861+00:00\", \"updated_at\": \"2026-03-17T21:10:33.735387+00:00\", \"input_payload\": {\"cwd\": \"/Users/sebas/Code/ai-dev-workflow\", \"permission_mode\": \"danger-full-access\"}, \"metadata\": {\"cwd\": \"/Users/sebas/Code/ai-dev-workflow\", \"permission_mode\": \"danger-full-access\"}}, {\"id\": \"run_7e3a37c67fc248ce9cd022f2c8a24c74\", \"task_id\": \"task_ac84e7e584494c2a95ed4a5bd2e1f92b\", \"agent_id\": \"personal-agent\", \"status\": \"paused\", \"result_summary\": \"Paused before daemon shutdown\", \"error_message\": \"daemon-8082.sh restart on 127.0.0.1:8082\", \"started_at\": \"2026-03-17T21:09:06.841171+00:00\", \"completed_at\": \"2026-03-17T21:09:06.845929+00:00\", \"created_at\": \"2026-03-17T21:09:06.841171+00:00\", \"updated_at\": \"2026-03-17T21:09:06.845929+00:00\", \"input_payload\": {\"cwd\": \"/Users/sebas/Code/ai-dev-workflow\", \"permission_mode\": \"danger-full-access\"}, \"metadata\": {\"cwd\": \"/Users/sebas/Code/ai-dev-workflow\", \"permission_mode\": \"danger-full-access\"}}, {\"id\": \"run_e660bfbe1722443fb9885499675c70a4\", \"task_id\": \"task_ac84e7e584494c2a95ed4a5bd2e1f92b\", \"agent_id\": \"personal-agent\", \"status\": \"paused\", \"result_summary\": \"Recovered interrupted run after daemon restart\", \"error_message\": \"Daemon restarted before Codex finished\", \"started_at\": \"2026-03-17T21:07:24.173186+00:00\", \"completed_at\": \"2026-03-17T21:09:06.838845+00:00\", \"created_at\": \"2026-03-17T21:07:24.173186+00:00\", \"updated_at\": \"2026-03-17T21:09:06.838845+00:00\", \"input_payload\": {\"cwd\": \"/Users/sebas/Code/ai-dev-workflow\", \"permission_mode\": \"danger-full-access\"}, \"metadata\": {\"cwd\": \"/Users/sebas/Code/ai-dev-workflow\", \"permission_mode\": \"danger-full-access\"}}], \"recent_artifacts\": [{\"id\": \"art_27b5286a82114cbcb8d72215a2da5ffc\", \"task_id\": \"task_dcf4be4f225e4e4992df28b1726fca1e\", \"artifact_type\": \"report\", \"title\": \"Runner result for Remote runner smoke test via native opencode\", \"content\": \"Native opencode smoke ok.\", \"format\": \"md\", \"status\": \"active\", \"source_ref\": \"personal-agent\", \"created_at\": \"2026-03-30T18:17:12.435576+00:00\", \"updated_at\": \"2026-03-30T18:17:12.435576+00:00\", \"metadata\": {\"classification\": \"deliverable\", \"cwd\": \"/home/sebas/personal-agent\", \"output_refs\": {}, \"run_id\": \"run_e4d5eb5c7c014427a45d56364e762917\"}}, {\"id\": \"art_06276ad0b03840e1adc39b4cade46773\", \"task_id\": \"task_ad140e5453934b02bd2a5e34a8f83878\", \"artifact_type\": \"report\", \"title\": \"Codex result for Remote runner smoke test via opencode wrapper\", \"content\": \"Remote runner smoke ok.\", \"format\": \"md\", \"status\": \"active\", \"source_ref\": \"personal-agent\", \"created_at\": \"2026-03-30T18:06:40.572840+00:00\", \"updated_at\": \"2026-03-30T18:06:40.572840+00:00\", \"metadata\": {\"classification\": \"deliverable\", \"cwd\": \"/home/sebas/personal-agent\", \"output_refs\": {}, \"run_id\": \"run_19d626d4d5844c31bf7a3aaa9a5f4e73\"}}, {\"id\": \"art_85c126f0f85b44eca1c3146df71f767a\", \"task_id\": \"task_2aba9ee8b06d45b9b4e88daa191e48de\", \"artifact_type\": \"run_failure\", \"title\": \"Codex failure for Remote runner smoke test after codex reauth\", \"content\": \"# Codex run failed\\n\\n- Exit code: 1\\n\\n## Stderr\\n2026-03-30T17:54:50.743437Z ERROR codex_core::auth: Failed to refresh token: 401 Unauthorized: {\\n \\\"error\\\": {\\n \\\"message\\\": \\\"Your refresh token has already been used to generate a new access token. Please try signing in again.\\\",\\n \\\"type\\\": \\\"invalid_request_error\\\",\\n \\\"param\\\": null,\\n \\\"code\\\": \\\"refresh_token_reused\\\"\\n }\\n}\\n2026-03-30T17:54:50.743508Z ERROR codex_core::auth: Failed to refresh token: Your access token could not be refreshed because your refresh token was already used. Please log out and sign in again.\\n2026-03-30T17:54:51.004399Z ERROR codex_core::models_manager::manager: failed to refresh available models: unexpected status 401 Unauthorized: Provided authentication token is expired. Please try signing in again., url: https://chatgpt.com/backend-api/codex/models?client_version=0.116.0, cf-ray: 9e48fb5b7daf6ccb-EZE, request id: ee4b17fe-7bfe-4fd5-a8d3-a9046f3eb084, auth error: 401, auth error code: token_expired\\n2026-03-30T17:54:51.220729Z ERROR codex_core::auth: Failed to refresh token: 401 Unauthorized: {\\n \\\"error\\\": {\\n \\\"message\\\": \\\"Your refresh token has already been used to generate a new access token. Please try signing in again.\\\",\\n \\\"type\\\": \\\"invalid_request_error\\\",\\n \\\"param\\\": null,\\n \\\"code\\\": \\\"refresh_token_reused\\\"\\n }\\n}\\n2026-03-30T17:54:51.220774Z ERROR codex_core::auth: Failed to refresh token: Your access token could not be refreshed because your refresh token was already used. Please log out and sign in again.\\nOpenAI Codex v0.116.0 (research preview)\\n--------\\nworkdir: /home/sebas/personal-agent\\nmodel: gpt-5.4\\nprovider: openai\\napproval: never\\nsandbox: danger-full-access\\nreasoning effort: none\\nreasoning summaries: none\\nsession id: 019d3fe2-55fc-7fb1-be0a-39c1e062af99\\n--------\\nuser\\nYou are running a remote smoke test. Do not modify files. Reply with exactly: Remote runner smoke ok.\\nmcp startup: no servers\\n2026-03-30T17:54:51.462293Z ERROR codex_core::auth: Failed to refresh token: 401 Unauthorized: {\\n \\\"error\\\": {\\n \\\"message\\\": \\\"Your refresh token has already been used to generate a new access token. Please try signing in again.\\\",\\n \\\"type\\\": \\\"invalid_request_error\\\",\\n \\\"param\\\": null,\\n \\\"code\\\": \\\"refresh_token_reused\\\"\\n }\\n}\\n2026-03-30T17:54:51.462341Z ERROR codex_core::auth: Failed to refresh token: Your access token could not be refreshed because your refresh token was already used. Please log out and sign in again.\\n2026-03-30T17:54:51.668382Z ERROR codex_core::auth: Failed to refresh token: 401 Unauthorized: {\\n \\\"error\\\": {\\n \\\"message\\\": \\\"Your refresh token has already been used to generate a new access token. Please try signing in again.\\\",\\n \\\"type\\\": \\\"invalid_request_error\\\",\\n \\\"param\\\": null,\\n \\\"code\\\": \\\"refresh_token_reused\\\"\\n }\\n}\\n2026-03-30T17:54:51.668427Z ERROR codex_core::auth: Failed to refresh token: Your access token could not be refreshed because your refresh token was already used. Please log out and sign in again.\\n2026-03-30T17:54:52.373555Z ERROR codex_api::endpoint::responses_websocket: failed to connect to websocket: HTTP error: 401 Unauthorized, url: wss://chatgpt.com/backend-api/codex/responses\\n2026-03-30T17:54:52.641625Z ERROR codex_core::auth: Failed to refresh token: 401 Unauthorized: {\\n \\\"error\\\": {\\n \\\"message\\\": \\\"Your refresh token has already been used to generate a new access token. Please try signing in again.\\\",\\n \\\"type\\\": \\\"invalid_request_error\\\",\\n \\\"param\\\": null,\\n \\\"code\\\": \\\"refresh_token_reused\\\"\\n }\\n}\\n2026-03-30T17:54:52.641681Z ERROR codex_core::auth: Failed to refresh token: Your access token could not be refreshed because your refresh token was already used. Please log out and sign in again.\\n2026-03-30T17:54:53.241850Z ERROR codex_api::endpoint::responses_websocket: failed to connect to websocket: HTTP error: 401 Unauthorized, url: wss://chatgpt.com/backend-api/codex/responses\\n2026-03-30T17:54:53.446593Z ERROR codex_core::auth: Failed to refresh token: 401 Unauthorized: {\\n \\\"error\\\": {\\n \\\"message\\\": \\\"Your refresh token has already been used to generate a new access token. Please try signing in again.\\\",\\n \\\"type\\\": \\\"invalid_request_error\\\",\\n \\\"param\\\": null,\\n \\\"code\\\": \\\"refresh_token_reused\\\"\\n }\\n}\\n2026-03-30T17:54:53.659317Z ERROR codex_core::auth: Failed to refresh token: 401 Unauthorized: {\\n \\\"error\\\": {\\n \\\"message\\\": \\\"Your refresh token has already been used to generate a new access token. Please try signing in again.\\\",\\n \\\"type\\\": \\\"invalid_request_error\\\",\\n \\\"param\\\": null,\\n \\\"code\\\": \\\"refresh_token_reused\\\"\\n }\\n}\\n2026-03-30T17:54:53.659360Z ERROR codex_core::auth: Failed to refresh token: Your access token could not be refreshed because your refresh token was already used. Please log out and sign in again.\\n2026-03-30T17:54:53.921315Z ERROR codex_core::auth: Failed to refresh token: 401 Unauthorized: {\\n \\\"error\\\": {\\n \\\"message\\\": \\\"Your refresh token has already been used to generate a new access token. Please try signing in again.\\\",\\n \\\"type\\\": \\\"invalid_request_error\\\",\\n \\\"param\\\": null,\\n \\\"code\\\": \\\"refresh_token_reused\\\"\\n }\\n}\\n2026-03-30T17:54:53.921358Z ERROR codex_core::auth: Failed to refresh token: Your access token could not be refreshed because your refresh token was already used. Please log out and sign in again.\\n2026-03-30T17:54:54.502914Z ERROR codex_api::endpoint::responses_websocket: failed to connect to websocket: HTTP error: 401 Unauthorized, url: wss://chatgpt.com/backend-api/codex/responses\\n2026-03-30T17:54:54.908392Z ERROR codex_core::auth: Failed to refresh token: 401 Unauthorized: {\\n \\\"error\\\": {\\n \\\"message\\\": \\\"Your refresh token has already been used to generate a new access token. Please try signing in again.\\\",\\n \\\"type\\\": \\\"invalid_request_error\\\",\\n \\\"param\\\": null,\\n \\\"code\\\": \\\"refresh_token_reused\\\"\\n }\\n}\\n2026-03-30T17:54:54.908436Z ERROR codex_core::auth: Failed to refresh token: Your access token could not be refreshed because your refresh token was already used. Please log out and sign in again.\\n2026-03-30T17:54:55.504818Z ERROR codex_api::endpoint::responses_websocket: failed to connect to websocket: HTTP error: 401 Unauthorized, url: wss://chatgpt.com/backend-api/codex/responses\\n2026-03-30T17:54:55.724017Z ERROR codex_core::auth: Failed to refresh token: 401 Unauthorized: {\\n \\\"error\\\": {\\n \\\"message\\\": \\\"Your refresh token has already been used to generate a new access token. Please try signing in again.\\\",\\n \\\"type\\\": \\\"invalid_request_error\\\",\\n \\\"param\\\": null,\\n \\\"code\\\": \\\"refresh_token_reused\\\"\\n }\\n}\\nERROR: Your access token could not be refreshed because your refresh token was already used. Please log out and sign in again.\\nWarning: no last agent message; wrote empty content to /home/sebas/personal-agent/data/runs/run_8d0e6570f6aa4e638f406afd86410cd2.md\", \"format\": \"md\", \"status\": \"active\", \"source_ref\": \"personal-agent\", \"created_at\": \"2026-03-30T17:54:55.741411+00:00\", \"updated_at\": \"2026-03-30T17:54:55.741411+00:00\", \"metadata\": {\"classification\": \"intermediate\", \"run_id\": \"run_8d0e6570f6aa4e638f406afd86410cd2\"}}, {\"id\": \"art_34925f302af647f9b3997e41d5700bf4\", \"task_id\": \"task_aded7c9f5fe24efbb5467f9edc2a31a8\", \"artifact_type\": \"run_failure\", \"title\": \"Codex failure for Remote runner smoke test from laptop\", \"content\": \"# Codex run failed\\n\\n- Exit code: 1\\n\\n## Stderr\\n2026-03-30T17:46:12.289087Z ERROR codex_core::auth: Failed to refresh token: 401 Unauthorized: {\\n \\\"error\\\": {\\n \\\"message\\\": \\\"Your refresh token has already been used to generate a new access token. Please try signing in again.\\\",\\n \\\"type\\\": \\\"invalid_request_error\\\",\\n \\\"param\\\": null,\\n \\\"code\\\": \\\"refresh_token_reused\\\"\\n }\\n}\\n2026-03-30T17:46:12.293790Z ERROR codex_core::auth: Failed to refresh token: Your access token could not be refreshed because your refresh token was already used. Please log out and sign in again.\\n2026-03-30T17:46:12.573562Z ERROR codex_core::models_manager::manager: failed to refresh available models: unexpected status 401 Unauthorized: Provided authentication token is expired. Please try signing in again., url: https://chatgpt.com/backend-api/codex/models?client_version=0.116.0, cf-ray: 9e48eeb35a48e845-EZE, request id: 2d5fed5a-c999-4e07-833b-519ea97f3655, auth error: 401, auth error code: token_expired\\n2026-03-30T17:46:13.059492Z ERROR codex_core::auth: Failed to refresh token: 401 Unauthorized: {\\n \\\"error\\\": {\\n \\\"message\\\": \\\"Your refresh token has already been used to generate a new access token. Please try signing in again.\\\",\\n \\\"type\\\": \\\"invalid_request_error\\\",\\n \\\"param\\\": null,\\n \\\"code\\\": \\\"refresh_token_reused\\\"\\n }\\n}\\n2026-03-30T17:46:13.059551Z ERROR codex_core::auth: Failed to refresh token: Your access token could not be refreshed because your refresh token was already used. Please log out and sign in again.\\nOpenAI Codex v0.116.0 (research preview)\\n--------\\nworkdir: /home/sebas/personal-agent\\nmodel: gpt-5.4\\nprovider: openai\\napproval: never\\nsandbox: danger-full-access\\nreasoning effort: none\\nreasoning summaries: none\\nsession id: 019d3fda-6ce6-7a20-b7a5-0e461154c02a\\n--------\\nuser\\nYou are running a remote smoke test. Do not modify files. Reply with exactly: Remote runner smoke ok.\\nmcp startup: no servers\\n2026-03-30T17:46:13.377382Z ERROR codex_core::auth: Failed to refresh token: 401 Unauthorized: {\\n \\\"error\\\": {\\n \\\"message\\\": \\\"Your refresh token has already been used to generate a new access token. Please try signing in again.\\\",\\n \\\"type\\\": \\\"invalid_request_error\\\",\\n \\\"param\\\": null,\\n \\\"code\\\": \\\"refresh_token_reused\\\"\\n }\\n}\\n2026-03-30T17:46:13.377434Z ERROR codex_core::auth: Failed to refresh token: Your access token could not be refreshed because your refresh token was already used. Please log out and sign in again.\\n2026-03-30T17:46:13.714470Z ERROR codex_core::auth: Failed to refresh token: 401 Unauthorized: {\\n \\\"error\\\": {\\n \\\"message\\\": \\\"Your refresh token has already been used to generate a new access token. Please try signing in again.\\\",\\n \\\"type\\\": \\\"invalid_request_error\\\",\\n \\\"param\\\": null,\\n \\\"code\\\": \\\"refresh_token_reused\\\"\\n }\\n}\\n2026-03-30T17:46:13.714514Z ERROR codex_core::auth: Failed to refresh token: Your access token could not be refreshed because your refresh token was already used. Please log out and sign in again.\\n2026-03-30T17:46:14.340592Z ERROR codex_api::endpoint::responses_websocket: failed to connect to websocket: HTTP error: 401 Unauthorized, url: wss://chatgpt.com/backend-api/codex/responses\\n2026-03-30T17:46:14.629572Z ERROR codex_core::auth: Failed to refresh token: 401 Unauthorized: {\\n \\\"error\\\": {\\n \\\"message\\\": \\\"Your refresh token has already been used to generate a new access token. Please try signing in again.\\\",\\n \\\"type\\\": \\\"invalid_request_error\\\",\\n \\\"param\\\": null,\\n \\\"code\\\": \\\"refresh_token_reused\\\"\\n }\\n}\\n2026-03-30T17:46:14.629621Z ERROR codex_core::auth: Failed to refresh token: Your access token could not be refreshed because your refresh token was already used. Please log out and sign in again.\\n2026-03-30T17:46:15.240888Z ERROR codex_api::endpoint::responses_websocket: failed to connect to websocket: HTTP error: 401 Unauthorized, url: wss://chatgpt.com/backend-api/codex/responses\\n2026-03-30T17:46:15.502153Z ERROR codex_core::auth: Failed to refresh token: 401 Unauthorized: {\\n \\\"error\\\": {\\n \\\"message\\\": \\\"Your refresh token has already been used to generate a new access token. Please try signing in again.\\\",\\n \\\"type\\\": \\\"invalid_request_error\\\",\\n \\\"param\\\": null,\\n \\\"code\\\": \\\"refresh_token_reused\\\"\\n }\\n}\\n2026-03-30T17:46:15.836644Z ERROR codex_core::auth: Failed to refresh token: 401 Unauthorized: {\\n \\\"error\\\": {\\n \\\"message\\\": \\\"Your refresh token has already been used to generate a new access token. Please try signing in again.\\\",\\n \\\"type\\\": \\\"invalid_request_error\\\",\\n \\\"param\\\": null,\\n \\\"code\\\": \\\"refresh_token_reused\\\"\\n }\\n}\\n2026-03-30T17:46:15.836690Z ERROR codex_core::auth: Failed to refresh token: Your access token could not be refreshed because your refresh token was already used. Please log out and sign in again.\\n2026-03-30T17:46:16.080975Z ERROR codex_core::auth: Failed to refresh token: 401 Unauthorized: {\\n \\\"error\\\": {\\n \\\"message\\\": \\\"Your refresh token has already been used to generate a new access token. Please try signing in again.\\\",\\n \\\"type\\\": \\\"invalid_request_error\\\",\\n \\\"param\\\": null,\\n \\\"code\\\": \\\"refresh_token_reused\\\"\\n }\\n}\\n2026-03-30T17:46:16.081018Z ERROR codex_core::auth: Failed to refresh token: Your access token could not be refreshed because your refresh token was already used. Please log out and sign in again.\\n2026-03-30T17:46:16.669756Z ERROR codex_api::endpoint::responses_websocket: failed to connect to websocket: HTTP error: 401 Unauthorized, url: wss://chatgpt.com/backend-api/codex/responses\\n2026-03-30T17:46:16.929124Z ERROR codex_core::auth: Failed to refresh token: 401 Unauthorized: {\\n \\\"error\\\": {\\n \\\"message\\\": \\\"Your refresh token has already been used to generate a new access token. Please try signing in again.\\\",\\n \\\"type\\\": \\\"invalid_request_error\\\",\\n \\\"param\\\": null,\\n \\\"code\\\": \\\"refresh_token_reused\\\"\\n }\\n}\\n2026-03-30T17:46:16.929174Z ERROR codex_core::auth: Failed to refresh token: Your access token could not be refreshed because your refresh token was already used. Please log out and sign in again.\\n2026-03-30T17:46:17.554687Z ERROR codex_api::endpoint::responses_websocket: failed to connect to websocket: HTTP error: 401 Unauthorized, url: wss://chatgpt.com/backend-api/codex/responses\\n2026-03-30T17:46:17.762701Z ERROR codex_core::auth: Failed to refresh token: 401 Unauthorized: {\\n \\\"error\\\": {\\n \\\"message\\\": \\\"Your refresh token has already been used to generate a new access token. Please try signing in again.\\\",\\n \\\"type\\\": \\\"invalid_request_error\\\",\\n \\\"param\\\": null,\\n \\\"code\\\": \\\"refresh_token_reused\\\"\\n }\\n}\\nERROR: Your access token could not be refreshed because your refresh token was already used. Please log out and sign in again.\\nWarning: no last agent message; wrote empty content to /home/sebas/personal-agent/data/runs/run_2fe6e66998c0435088e9aa176ffafbea.md\", \"format\": \"md\", \"status\": \"active\", \"source_ref\": \"personal-agent\", \"created_at\": \"2026-03-30T17:46:17.801616+00:00\", \"updated_at\": \"2026-03-30T17:46:17.801616+00:00\", \"metadata\": {\"classification\": \"intermediate\", \"run_id\": \"run_2fe6e66998c0435088e9aa176ffafbea\"}}, {\"id\": \"art_5d696a0193a04e84af63a278077a8bfa\", \"task_id\": \"task_0799ffb629ca4266925046bb4f4daa47\", \"artifact_type\": \"report\", \"title\": \"Matchable: mapa exhaustivo de features y use cases\", \"content\": \"\\n# Matchable: mapa exhaustivo de features y use cases\\n\\ntask: task_0799ffb629ca4266925046bb4f4daa47\\nrun: a1ad721a-bcbc-473e-806d-0793fbbfaac2\\ntype: report\\n\\n## Brief ejecutivo\\n\\nMatchable es una plataforma de dos lados: hacia demanda funciona como marketplace/app para descubrir, reservar y pagar entrenamientos, clases, cursos y eventos; hacia oferta funciona como software de gestion para trainers, venues, academies y operadores multi-sede. No emerge publicamente como un simple \\\"class booking app\\\" ni como un puro \\\"club manager\\\", sino como una capa combinada de distribution + booking + operations. [S1](#ref-s1)[S2](#ref-s2)[S3](#ref-s3)\\n\\nLa propuesta mas fuerte en racquet sports no parece ser solo captar reservas, sino automatizar la coordinacion entre entrenador, cliente y cancha. Matchable lo documenta explicitamente con integraciones que reservan courts automaticamente cuando alguien compra un entrenamiento, y sincronizan cancelaciones/reagendamientos en tiempo real. [S4](#ref-s4)[S12](#ref-s12)[S15](#ref-s15)[S16](#ref-s16)\\n\\nLas superficies visibles y confirmadas publicamente hoy son: private training, classes, events, courses, credits/packages, storefront publico, trainer app, client app, backoffice manager e integraciones. Hay evidencia de rollout rapido y cierta desalineacion de copy: la pagina de pricing aun marca algunos modulos como \\\"coming soon\\\" mientras el help center y release notes ya documentan cursos, credits y storefront como experiencias activas. [S3](#ref-s3)[S8](#ref-s8)[S10](#ref-s10)[S17](#ref-s17)\\n\\n## Que es Matchable\\n\\n- Marketplace cliente: buscar trainers, venues, clases y actividades por deporte; revisar perfiles; reservar; pagar; reprogramar; ver sesiones e invoices. [S1](#ref-s1)[S6](#ref-s6)[S7](#ref-s7)[S17](#ref-s17)\\n- Storefront publico para cada negocio: una pagina publica que agrega private services, classes, courses, events y credit packages; sirve tanto para discovery en marketplace como para trafico directo o widget embebido. [S10](#ref-s10)\\n- Manager/backoffice: configurar perfiles, disponibilidad, trainers, bookings, clientes, credit packages, cursos, clases/eventos y pagos. [S3](#ref-s3)[S8](#ref-s8)[S9](#ref-s9)[S11](#ref-s11)\\n- Apps moviles: client app para buscar/reservar/ver sesiones; trainer app para gestionar agenda, disponibilidad, holidays, perfil y trainings. [S7](#ref-s7)[S11](#ref-s11)[S17](#ref-s17)[S18](#ref-s18)\\n- Capa de integracion: sincronizacion con calendarios, video, sistemas de court booking y herramientas complementarias (nutricion, torneos). [S4](#ref-s4)[S12](#ref-s12)[S13](#ref-s13)[S14](#ref-s14)[S15](#ref-s15)[S16](#ref-s16)\\n\\n## Tesis producto\\n\\nLa tesis de producto visible es: \\\"haz bookable cualquier servicio deportivo y conectalo con operaciones reales\\\".\\n\\nEso implica 4 jobs centrales:\\n1. Descubrir oferta deportiva dispersa y compararla en una sola superficie. [S1](#ref-s1)[S6](#ref-s6)\\n2. Comprar sesiones/paquetes sin friccion y decidir si agendar ahora o despues. [S6](#ref-s6)[S17](#ref-s17)\\n3. Operar la disponibilidad real de trainers, venues y courts sin coordinacion manual. [S2](#ref-s2)[S9](#ref-s9)[S11](#ref-s11)[S12](#ref-s12)\\n4. Dar a trainers/venues una vitrina publica, herramientas de cobro y control operativo desde un mismo stack. [S2](#ref-s2)[S3](#ref-s3)[S10](#ref-s10)\\n\\n## Quien usa Matchable\\n\\n- Cliente/jugador/usuario fitness: busca entrenador, venue o actividad; compra privado, clase, curso o evento; usa credits; reprograma; consulta invoices. [S1](#ref-s1)[S6](#ref-s6)[S7](#ref-s7)[S17](#ref-s17)\\n- Trainer independiente: publica perfil, servicios, horarios, holidays, idiomas/especializaciones, cobra online y maneja agenda desde app. [S2](#ref-s2)[S3](#ref-s3)[S11](#ref-s11)\\n- Venue/club/academy: publica venue + trainers + servicios; crea cursos, clases, eventos y credit packages; automatiza pagos, bookings y clientes. [S2](#ref-s2)[S3](#ref-s3)[S8](#ref-s8)[S9](#ref-s9)[S10](#ref-s10)\\n- Operador multi-sede: administra multiples venues y managers desde el mismo manager; sincroniza operaciones con sistemas externos. [S2](#ref-s2)[S3](#ref-s3)\\n- Clubes de raqueta con sistema propio: mantienen MATCHi/Matchpoint/KNLTB/etc. como system of record de courts y usan Matchable como capa comercial/academy automation. [S12](#ref-s12)[S15](#ref-s15)[S16](#ref-s16) Abajo se detalla c\\u00f3mo Ballbox podr\\u00eda implementar una integraci\\u00f3n similar con ATC para el mercado LATAM. [\\u2192 Ballbox \\u00d7 ATC](#ballbox-atc-spec-de-integraci-n)\\n\\n## Superficies clave\\n\\n- Discovery marketplace: `explore`, `activities`, perfiles de trainer/venue. [S1](#ref-s1)[S6](#ref-s6)\\n- Booking flow: seleccion de servicio, attendees, duracion, package, planning, login/signup, pago. [S6](#ref-s6)\\n- Storefront: home publica de cada negocio con toda la oferta activa. [S10](#ref-s10)\\n- Manager: schedule, bookings, trainers, clients, services, promotions, settings, payment method. [S8](#ref-s8)[S9](#ref-s9)[S11](#ref-s11)\\n- Trainer App: home, weekly schedule, create training, availability, holidays, profile. [S11](#ref-s11)\\n- Client App: discovery, booked sessions, services, locations, booking/pago. [S7](#ref-s7)[S17](#ref-s17)\\n- Integrations hub: calendars, video, courts, nutrition, tournaments. [S4](#ref-s4)[S12](#ref-s12)[S13](#ref-s13)[S14](#ref-s14)[S15](#ref-s15)[S16](#ref-s16)\\n\\n## Mapa exhaustivo de features\\n\\n### 1. Discovery / marketplace cliente\\n\\n**Features confirmadas**\\n- Buscar trainer, venue o deporte desde la web/app. [S1](#ref-s1)[S6](#ref-s6)[S17](#ref-s17)\\n- Navegar categorias/top categories y distintos deportes; homepage cita fitness, yoga, padel y \\\"everything in between\\\"; app stores mencionan padel, tennis, yoga, fitness y boxing. [S1](#ref-s1)[S17](#ref-s17)[S18](#ref-s18)\\n- Ver perfiles publicos de trainer con idiomas, ubicacion, reviews y servicios. [S1](#ref-s1)[S19](#ref-s19)\\n- Ver venue/storefront con nombre, descripcion, fotos, ubicacion, reviews y toda la oferta activa. [S10](#ref-s10)\\n- Filtrar/ordenar oferta desde storefront/app; release notes del client app documentan nuevos filtros y organized overview. [S17](#ref-s17)\\n\\n**Use cases soportados**\\n- Encontrar entrenador o actividad cercana/adecuada sin depender del sitio propio de cada club.\\n- Comparar private sessions, classes, courses y events en una sola experiencia.\\n- Descubrir negocios via marketplace y luego convertir por link directo/storefront.\\n\\n**Justificacion**\\n- Directa por homepage, client app copy, help de booking y help de storefront. [S1](#ref-s1)[S6](#ref-s6)[S10](#ref-s10)[S17](#ref-s17)\\n\\n### 2. Profiles / trust layer\\n\\n**Features confirmadas**\\n- Trainer profile con foto, banner, bio, specializations, languages, contact details y socials. [S8](#ref-s8)[S11](#ref-s11)[S19](#ref-s19)\\n- Venue profile con logo, banner, bio, location, contact info, socials y amenities. [S8](#ref-s8)\\n- Reviews en trainer/storefront; FAQ dice que el usuario recibe email post-sesion para dejar review. [S1](#ref-s1)[S7](#ref-s7)[S10](#ref-s10)[S19](#ref-s19)\\n- Visibility toggles para marketplace y venue page. [S11](#ref-s11)\\n\\n**Use cases soportados**\\n- Elegir coach por fit, idioma, especialidad o reputacion.\\n- Mejorar conversion del negocio con trust signals y contenido visual.\\n- Ocultar o publicar trainers/servicios segun estrategia comercial.\\n\\n### 3. Booking / checkout core\\n\\n**Features confirmadas**\\n- Elegir tipo de training (ej. group lesson vs private 1-to-1). [S6](#ref-s6)\\n- Elegir numero de attendees. [S6](#ref-s6)\\n- Elegir duracion. [S6](#ref-s6)\\n- Elegir package / bundle con descuento por multiples clases. [S6](#ref-s6)\\n- Aplicar discount o voucher code. [S6](#ref-s6)\\n- Planear la sesion en checkout o dejarla unplanned para despues. [S5](#ref-s5)[S6](#ref-s6)\\n- Crear cuenta/log in y pagar online. [S6](#ref-s6)\\n- Sin fee de plataforma para cliente segun copy publica. [S1](#ref-s1)[S3](#ref-s3)[S7](#ref-s7)[S17](#ref-s17)\\n\\n**Use cases soportados**\\n- Reservar un 1:1, una small group session o una compra futura de varias sesiones.\\n- Comprar ahora y coordinar agenda despues.\\n- Ejecutar campa\\u00f1as con vouchers/codigos.\\n\\n### 4. Session planning / post-booking lifecycle\\n\\n**Features confirmadas**\\n- Trainings pueden quedar unplanned y luego programarse desde la cuenta del cliente. [S5](#ref-s5)\\n- Reagendar o cancelar desde el perfil, sujeto a cancellation policy del provider. [S5](#ref-s5)[S7](#ref-s7)\\n- Cambiar trainer en ciertos flujos de reschedule. [S5](#ref-s5)\\n- Booking statuses Planned / Unplanned. [S9](#ref-s9)\\n- Businesses pueden marcar bookings como Redeemed/completados. [S11](#ref-s11)\\n\\n**Use cases soportados**\\n- Vender packs antes de definir agenda exacta.\\n- Reacomodar sesiones por clima, disponibilidad o lesion.\\n- Cerrar operativamente una sesion como consumida.\\n\\n### 5. Offer types / catalog model\\n\\n**A. Private training / private service**\\n- Crear private training con descripcion, VAT, cancellation policy, booking buffer y advance booking limit. [S8](#ref-s8)\\n- Definir pricing categories, capacidad, trainer asignado, duracion, precio por sesion y packages. [S8](#ref-s8)\\n- Publicar/ocultar servicio. [S8](#ref-s8)\\n- Marketplace y pricing lo posicionan como pilar central. [S2](#ref-s2)[S3](#ref-s3)\\n\\n**Use cases**\\n- Coach de tennis/padel/personal training que vende 1:1 o small group.\\n- Academia que diferencia peak/off-peak, duraciones y capacidad.\\n\\n**B. Classes**\\n- Clases recurrentes con set schedules y capacity limits. [S2](#ref-s2)\\n- Clientes compran spots individuales en group sessions. [S2](#ref-s2)\\n- Se muestran spots restantes en storefront. [S10](#ref-s10)\\n\\n**Use cases**\\n- Weekly yoga/fitness/padel clinics.\\n- Llenar horas valle con group sessions abiertas.\\n\\n**C. Events**\\n- Crear event page con banner, descripcion, tickets, VAT, participant limit, cancellation policy y venue/location. [S8](#ref-s8)\\n- Crear single session o multiple session. [S8](#ref-s8)\\n- Publicar eventos publicos o mantenerlos privados segun homepage business. [S2](#ref-s2)\\n\\n**Use cases**\\n- Torneos, workshops, camps, social events, corporate events.\\n- Venta ticketed de ocasiones especiales u open days.\\n\\n**D. Courses**\\n- Cursos multi-sesion vendidos como una sola compra/enrollment. [S2](#ref-s2)[S10](#ref-s10)\\n- Page template con descripcion, precio full-course, custom questions, min/max participants, auto-cancel y refund rules. [S10](#ref-s10)[S11](#ref-s11)\\n- Schedule recurrente o single-session; statuses Published / Private / Cancelled. [S11](#ref-s11)\\n- Smart Courses para late joiners pagando solo sesiones restantes. [S11](#ref-s11)\\n- Participant management con payment status, payment method, revenue y refunds. [S11](#ref-s11)\\n\\n**Use cases**\\n- 8-week academy, beginner series, seasonal programs, kids programs, transformation programs.\\n- Mantener cohortes con control de min/max y cierres automaticos.\\n\\n**E. Credit packages**\\n- Venta de credits prepago desde el negocio/storefront. [S7](#ref-s7)[S10](#ref-s10)[S11](#ref-s11)\\n- Precio, numero de credits, expiracion, purchase limit, time-limited sales, descripcion. [S11](#ref-s11)\\n- Credits venue/trainer-specific, no cross-merchant. [S7](#ref-s7)[S11](#ref-s11)\\n- Hoy documentados para Classes & Events; client help los presenta tambien para classes/events/courses. [S7](#ref-s7)[S11](#ref-s11)\\n\\n**Use cases**\\n- Session passes, bundles, loyalty/prepay, promo windows, member-only offers.\\n- Cobrar por adelantado y reducir friccion en repeat bookings.\\n\\n### 6. Payments / billing / invoicing\\n\\n**Features confirmadas**\\n- Online payments con Stripe o Mollie; Matchable cobra 1.8% platform fee + processing fees del PSP. [S3](#ref-s3)\\n- Aceptar pagos en 36+ paises. [S3](#ref-s3)\\n- Payment method obligatorio antes de aceptar bookings. [S8](#ref-s8)\\n- Invoices automaticas al cliente; visibles en \\\"My invoices\\\". [S3](#ref-s3)[S7](#ref-s7)[S8](#ref-s8)\\n- Pagos van directo al venue/trainer segun client-facing copy. [S7](#ref-s7)[S17](#ref-s17)\\n- Manual bookings gratis. [S3](#ref-s3)\\n- Manual payment links e in-person payments aparecen como coming soon en pricing. [S3](#ref-s3)\\n\\n**Use cases soportados**\\n- Cobro online nativo sin subscription fee.\\n- Operar mercados internacionales con PSPs estandar.\\n- Emitir comprobantes automaticamente y dar self-serve invoice access al cliente.\\n\\n### 7. Storefront / distribution / embedded commerce\\n\\n**Features confirmadas**\\n- Storefront publico agrega todo lo publicado: private sessions, classes, courses, events, credit packages. [S10](#ref-s10)\\n- Shareable link desde manager; puede usarse en Instagram bio, links directos, etc. [S10](#ref-s10)\\n- Booking widget para incrustar oferta propia en website. [S3](#ref-s3)[S10](#ref-s10)\\n- Marketplace opcional sin fee adicional por descubrir nuevos clientes via marketplace. [S3](#ref-s3)\\n\\n**Use cases soportados**\\n- Negocio sin web propia que usa Matchable como storefront principal.\\n- Negocio con web propia que embebe widget pero usa Matchable para checkout/ops.\\n- Clubs/academies que combinan demanda organica marketplace + trafico propio.\\n\\n### 8. Trainer operations\\n\\n**Features confirmadas**\\n- Crear trainer con nombre, email, funcion/categoria. [S8](#ref-s8)\\n- Asignar trainer a servicios. [S11](#ref-s11)\\n- Gestionar bookings del trainer desde manager. [S11](#ref-s11)\\n- Primary schedule y temporary schedule del trainer. [S11](#ref-s11)\\n- Holidays que override availability y muestran indisponibilidad al cliente. [S11](#ref-s11)\\n- Trainer app con home, weekly schedule, create training, availability, holidays y profile edit. [S11](#ref-s11)\\n- Release note del trainer app documenta manejo entre multiple venues. [S18](#ref-s18)\\n\\n**Use cases soportados**\\n- Coach independiente que se autogestiona.\\n- Academy con multiples coaches y horarios complejos.\\n- Coach itinerante entre varias sedes.\\n\\n### 9. Venue / academy operations\\n\\n**Features confirmadas**\\n- Venue schedule con opening hours, primary schedule y temporary schedule que overridea al principal. [S8](#ref-s8)\\n- Schedule/Calendar operativo donde conviven trainings, classes y courses. [S9](#ref-s9)[S11](#ref-s11)\\n- Day view / week view y quick booking overview. [S9](#ref-s9)\\n- Crear booking manualmente desde manager. [S9](#ref-s9)[S11](#ref-s11)\\n- Multi-venue management y unlimited manager seats para business tier segun pricing. [S3](#ref-s3)\\n\\n**Use cases soportados**\\n- Operar aperturas estacionales o holiday schedules.\\n- Ver conflictos y capacidad del dia en una sola vista.\\n- Administrar academies o grupos con varias sedes y varios managers.\\n\\n### 10. Client CRM / customer operations\\n\\n**Features confirmadas**\\n- Client database con nombre, email, phone. [S11](#ref-s11)\\n- Add Client manual. [S11](#ref-s11)\\n- View profile, add booking y WhatsApp contact desde perfil del cliente. [S11](#ref-s11)\\n- Ver booking history y filtros. [S11](#ref-s11)\\n- En cursos: payment status, payment type, revenue, add guest/manual participant, refund handling. [S11](#ref-s11)\\n\\n**Use cases soportados**\\n- Staff de front desk o academy manager que agrega walk-ins/manual signups.\\n- Seguimiento de recurrentes y soporte posventa.\\n- Gestion de cohortes y refunds en programas.\\n\\n### 11. Promotions / discounts / commercial tooling\\n\\n**Features confirmadas**\\n- Discount codes y vouchers en marketplace checkout. [S6](#ref-s6)\\n- Promotions y vouchers en business homepage. [S2](#ref-s2)\\n- Promotion tools listed as free in pricing. [S3](#ref-s3)\\n- Credit packages con time-limited sales. [S11](#ref-s11)\\n\\n**Use cases soportados**\\n- Acquisition offers, referral codes, Black Friday/new year campaigns.\\n- Prepaid bundles para aumentar retention y cashflow.\\n\\n### 12. Integrations / ecosystem\\n\\n**A. Court-booking / club systems**\\n- MATCHi: reserva cancha automaticamente al reservar private training; sync real-time; evita double-bookings; oculta slots sin court disponible. [S4](#ref-s4)[S12](#ref-s12)\\n- Matchpoint: auto-reserva court, sync availability y updates, cubre tennis/padel/beach tennis/pickleball. [S15](#ref-s15)\\n- KNLTB Meet & Play: auto court reservation y visibilidad de sesiones en KNLTB app. [S16](#ref-s16)\\n- Overview tambien lista AnyBuddy y Taykus con el mismo patron de auto court booking. [S4](#ref-s4)\\n\\n**Use cases**\\n- Club que quiere vender coaching sin hacer booking manual de cancha.\\n- Academia dentro de club que necesita respetar inventario real de courts.\\n- Ecosistemas federativos/club software donde Matchable actua como capa comercial.\\n\\n**Spec para copiar:** Ver la secci\\u00f3n [Ballbox \\u00d7 ATC](#ballbox-atc-spec-de-integraci-n) al final de este documento para el spec detallado de integraci\\u00f3n tipo MATCHi/Matchpoint/KNLTB, adaptado para Ballbox \\u00d7 ATC.\\n\\n**B. Calendar**\\n- Google Calendar integration page promete two-way sync: bloquear tiempo en Google bloquea disponibilidad en Matchable; cambios en Matchable actualizan Calendar. [S13](#ref-s13)\\n- Help article documenta al menos una suscripcion por URL/ICS a Google Calendar. [S11](#ref-s11)\\n\\n**Use cases**\\n- Coach que mezcla agenda personal y comercial.\\n- Reducir no-shows y overlaps.\\n\\n**Nota critica**\\n- Publicamente hay tension entre marketing (two-way sync) y help (ICS subscription, que normalmente es one-way). Conviene tratar el alcance exacto como \\\"publicamente reclamado, no completamente verificado\\\". [S13](#ref-s13)[S11](#ref-s11)\\n\\n**C. Digital sessions**\\n- Google Meet integration agrega links automaticamente a cada booking. [S14](#ref-s14)\\n- Business homepage y pricing listan digital sessions como capability. [S2](#ref-s2)[S3](#ref-s3)\\n\\n**Use cases**\\n- Remote coaching, video review, nutrition coaching, virtual classes.\\n\\n**D. Adjacent value-add tools**\\n- BenFit: entrenadores conectados con soporte nutricional. [S4](#ref-s4)\\n- PadelFast: conectar training clients con torneos/competiciones. [S4](#ref-s4)\\n\\n**Use cases**\\n- Extender ARPU y experiencia mas alla del booking.\\n- Convertir academia en funnel hacia competicion o nutrition upsell.\\n\\n### 13. Mobile products\\n\\n**Client app**\\n- Book next workout, view booked sessions, location and services, no signup/subscription fee. [S7](#ref-s7)\\n- Release notes: localization, courses, credits, top categories, storefront filters/organized overview, support for unplanned sessions. [S17](#ref-s17)\\n\\n**Trainer app**\\n- Daily/weekly schedule, reviews, connected venues, create training, availability, holidays, profile editing. [S11](#ref-s11)\\n- Release notes: manage bookings/schedules/holidays between multiple venues. [S18](#ref-s18)\\n\\n**Use cases soportados**\\n- Consumo movil para clientes repetitivos.\\n- Coach on-court que no quiere operar desde desktop.\\n\\n### 14. Support / onboarding / enablement\\n\\n**Features confirmadas**\\n- Free onboarding y full customer support segun FAQ de business homepage. [S2](#ref-s2)\\n- Chat support desde manager, email support <24h, knowledge base. [S3](#ref-s3)\\n- Help center estructurado para clients, trainer app y business manager. [S5](#ref-s5)\\n\\n**Use cases soportados**\\n- SMB onboarding rapido.\\n- Soporte operativo y autoservicio documental.\\n\\n### 15. Explicit \\\"coming soon\\\" / weakly evidenced areas\\n\\n**Publicamente listados como coming soon o ambiguos**\\n- Courses en pricing (aunque help center y app release notes los muestran activos). [S3](#ref-s3)[S11](#ref-s11)[S17](#ref-s17)\\n- Insights. [S3](#ref-s3)\\n- Manual payment links. [S3](#ref-s3)\\n- In-person payments. [S3](#ref-s3)\\n- Google Analytics y Meta Pixel add-ons. [S3](#ref-s3)\\n- Recruitment en pricing aparece sin detalle publico util. [S3](#ref-s3)\\n\\n**Lectura**\\n- No asumir cobertura plena ni GA/Pixel productizados a todos los clientes.\\n- Courses/credits/storefront parecen en rollout mas avanzado que pricing copy.\\n\\n## Mapa de casos de uso por persona\\n\\n### Cliente casual\\n- Encontrar un coach/venue por deporte.\\n- Comprar un 1:1 o clase puntual.\\n- Elegir attendees/duracion.\\n- Aplicar voucher.\\n- Pagar y reagendar si hace falta. [S6](#ref-s6)[S7](#ref-s7)\\n\\n### Cliente recurrente\\n- Comprar packages o credits.\\n- Dejar sesiones unplanned y consumirlas despues.\\n- Seguir usando el mismo trainer/venue via storefront/app. [S5](#ref-s5)[S7](#ref-s7)[S10](#ref-s10)\\n\\n### Alumno de programa\\n- Inscribirse a course multi-semana.\\n- Ver schedule completo.\\n- Entrar tarde con Smart Courses si quedan sesiones. [S11](#ref-s11)\\n\\n### Trainer independiente\\n- Publicar perfil y disponibilidad.\\n- Vender privados, clases y online sessions.\\n- Gestionar agenda/holidays desde app.\\n- Usar Google Calendar para coordinar vida personal + trabajo. [S2](#ref-s2)[S11](#ref-s11)[S13](#ref-s13)[S14](#ref-s14)\\n\\n### Venue/academy\\n- Publicar oferta completa en storefront.\\n- Gestionar trainers, bookings y clientes.\\n- Vender credits/cursos/eventos.\\n- Cobrar online e invoicing automatico. [S3](#ref-s3)[S10](#ref-s10)[S11](#ref-s11)\\n\\n### Racquet club integrado\\n- Mantener MATCHi/Matchpoint/KNLTB como sistema de courts.\\n- Usar Matchable para captar y vender coaching.\\n- Evitar doble reserva de cancha. [S12](#ref-s12)[S15](#ref-s15)[S16](#ref-s16)\\n\\n### Operador multi-sede\\n- Administrar varias sedes y multiples managers.\\n- Unificar operacion con mismos flujos de booking/clients/trainers. [S3](#ref-s3)\\n\\n## JTBD map\\n\\n**JTBD: \\\"quiero entrenar esta semana con alguien bueno\\\"**\\n- Search marketplace\\n- Trainer profiles\\n- Reviews\\n- Booking + planning\\n- Reschedule/cancel [S1](#ref-s1)[S6](#ref-s6)[S7](#ref-s7)[S19](#ref-s19)\\n\\n**JTBD: \\\"quiero vender mi coaching sin perseguir pagos ni whatsapps\\\"**\\n- Storefront\\n- Online payments\\n- Packages/credits\\n- Automated invoices\\n- Trainer app [S3](#ref-s3)[S10](#ref-s10)[S11](#ref-s11)\\n\\n**JTBD: \\\"quiero correr una academia o programa estructurado\\\"**\\n- Courses\\n- Participant limits\\n- Auto-cancel\\n- Smart Courses\\n- Participant management [S11](#ref-s11)\\n\\n**JTBD: \\\"quiero monetizar horas valle o crear comunidad\\\"**\\n- Classes\\n- Events\\n- Credits/promotions\\n- Public marketplace distribution [S2](#ref-s2)[S3](#ref-s3)[S10](#ref-s10)\\n\\n**JTBD: \\\"quiero que vender coaching no rompa mi operacion de club\\\"**\\n- Court-booking integrations\\n- Availability sync\\n- Booking statuses\\n- Multi-venue / manager operations [S3](#ref-s3)[S9](#ref-s9)[S12](#ref-s12)[S15](#ref-s15)[S16](#ref-s16)\\n\\n**JTBD: \\\"quiero ofrecer coaching online tambien\\\"**\\n- Digital sessions\\n- Google Meet links\\n- Unified profile for in-person + online [S2](#ref-s2)[S14](#ref-s14)\\n\\n## Hallazgos estrategicos\\n\\n1. Matchable parece mas fuerte cuando el negocio vende no solo privados sino un mix de privados + clases + cursos + credits + eventos desde storefront. La plataforma ya esta modelada para ese portfolio, no solo para appointment booking simple. [S2](#ref-s2)[S3](#ref-s3)[S10](#ref-s10)[S11](#ref-s11)\\n2. El wedge mas diferenciador en racquet sports es academy automation conectada a court inventory externo. Eso resuelve un problema operativo real que marketplaces generalistas no resuelven. [S12](#ref-s12)[S15](#ref-s15)[S16](#ref-s16)\\n3. La company esta empujando una evolucion desde \\\"trainer booking\\\" a \\\"sport commerce OS ligero\\\": storefront, widget, apps, credits, courses, integrations, manager. [S2](#ref-s2)[S3](#ref-s3)[S10](#ref-s10)[S17](#ref-s17)[S18](#ref-s18)\\n4. El posicionamiento geografico/publico es multi-country, pero la fuerza de las integraciones y ejemplos visibles sesga hacia Europa y racquet/federation ecosystems. [S12](#ref-s12)[S15](#ref-s15)[S16](#ref-s16)\\n\\n## Riesgos, limites y lectura critica\\n\\n- Parte del marketplace publico devuelve `0 results` sin contexto o depende de query/location; por tanto el mapeo se centra en capacidades de producto confirmadas, no en catalogo disponible en cada region. [S20](#ref-s20)[S21](#ref-s21)\\n- Hay copy inconsistente entre pricing y help center/app release notes sobre courses, credits e insights. No conviene asumir rollout uniforme por cliente/mercado. [S3](#ref-s3)[S11](#ref-s11)[S17](#ref-s17)\\n- La profundidad del BI/reporting no es visible publicamente; \\\"insights\\\" aparece, pero sin detalle funcional verificable. [S3](#ref-s3)\\n- La integracion de Google Calendar se describe como two-way en marketing, pero el help publico solo verifica una integracion via URL/ICS; tratar la sincronizacion bidireccional exacta como probable pero no cerrada. [S13](#ref-s13)[S11](#ref-s11)\\n- No pude verificar exhaustivamente todas las venue pages publicas desde muestra puntual; algunas URLs del sitemap no devolvieron contenido util. [S20](#ref-s20)\\n\\n## Fuentes primarias usadas\\n\\n- [S1] Matchable consumer homepage: https://www.matchable.io/\\n- [S2] Matchable business homepage: https://business.matchable.io/\\n- [S3] Matchable pricing: https://matchable.io/business/pricing\\n- [S4] Matchable integrations overview: https://matchable.io/business/integrations\\n- [S5] Matchable help center index: https://help.matchable.io/en/\\n- [S6] How to book a training: https://help.matchable.io/en/articles/10-how-to-book-a-training\\n- [S7] Client app / credits / FAQ / invoices help pages: https://help.matchable.io/en/articles/15-client-app-iosandroid ; https://help.matchable.io/en/articles/23-how-to-use-credits ; https://help.matchable.io/en/articles/12-faq ; https://help.matchable.io/en/articles/39-invoice-for-my-purchases\\n- [S8] Quick-start manager setup pages: https://help.matchable.io/en/articles/1-add-a-payment-method ; https://help.matchable.io/en/articles/2-create-your-first-class-or-event ; https://help.matchable.io/en/articles/3-create-your-first-private-service ; https://help.matchable.io/en/articles/4-how-to-edit-your-trainer-profile ; https://help.matchable.io/en/articles/5-how-to-edit-your-venue-profile ; https://help.matchable.io/en/articles/6-edit-your-availability ; https://help.matchable.io/en/articles/7-add-your-venue-schedule\\n- [S9] Manager operations pages: https://help.matchable.io/en/articles/17-manage-trainings-and-classes ; https://help.matchable.io/en/articles/18-manage-your-trainers-schedules ; https://help.matchable.io/en/articles/19-manage-your-clients ; https://help.matchable.io/en/articles/22-manage-credits\\n- [S10] Storefront guide: https://help.matchable.io/en/articles/38-getting-started-with-your-storefront\\n- [S11] Courses + trainer app help pages: https://help.matchable.io/en/articles/13-getting-started-with-the-matchable-trainer-app ; https://help.matchable.io/en/articles/14-adding-and-managing-your-holidays ; https://help.matchable.io/en/articles/41-getting-started-with-courses ; https://help.matchable.io/en/articles/42-smart-courses-feature ; https://help.matchable.io/en/articles/43-set-up-a-course-page-template ; https://help.matchable.io/en/articles/44-create-and-manage-your-course-schedule ; https://help.matchable.io/en/articles/45-viewing-courses-in-the-calendar ; https://help.matchable.io/en/articles/46-manage-course-participants\\n- [S12] MATCHi integration: https://matchable.io/business/integration/matchi\\n- [S13] Google Calendar integration: https://matchable.io/business/integration/google-calendar\\n- [S14] Google Meet integration: https://matchable.io/business/integration/google-meet\\n- [S15] Matchpoint integration: https://matchable.io/business/integration/matchpoint\\n- [S16] KNLTB Meet & Play integration: https://matchable.io/business/integration/knltb-meet-play\\n- [S17] Client app store pages / release notes: https://apps.apple.com/nl/app/matchable-book-your-training/id6742325816 ; https://play.google.com/store/apps/details?id=com.getmatchable.client\\n- [S18] Trainer app store pages / release notes: https://apps.apple.com/nl/app/matchable-for-trainers/id6468798694 ; https://play.google.com/store/apps/details?id=com.getmatchable.app\\n- [S19] Sample trainer page: https://matchable.io/trainers/alex-hosp\\n- [S20] Matchable sitemap: https://matchable.io/sitemap.xml\\n- [S21] Explore / Activities public pages: https://matchable.io/explore ; https://matchable.io/activities\\n\\n\\n- [S22] Spec Ballbox \\u00d7 ATC: secci\\u00f3n 16 de este documento (Spec de integraci\\u00f3n para copiar patr\\u00f3n MATCHi/Matchpoint/KNLTB en Ballbox)\\n\\n## Ballbox \\u00d7 ATC \\u2014 Spec de Integraci\\u00f3n\\n\\n*Spec de integraci\\u00f3n para copiar el patr\\u00f3n de MATCHi/Matchpoint/KNLTB en Ballbox.*\\n\\n---\\n\\n### 1. Contexto de negocio\\n\\n**Problema que resuelve**\\n\\nUn club de tennis/padel usa ATC como su sistema de gesti\\u00f3n de canchas (reservas, pagos, inventario). Ballbox quiere vender trainings y clases de sus trainers en ese club. El riesgo es vender un entrenamiento cuando la cancha no est\\u00e1 disponible, o duplicar reservas.\\n\\n**Soluci\\u00f3n**\\n\\nCuando alguien reserva un training en Ballbox, el sistema autom\\u00e1ticamente verifica disponibilidad y reserva la cancha en ATC al mismo tiempo. Si el club cancela o modifica la reserva en ATC, Ballbox se entera y act\\u00faa en consecuencia.\\n\\n**Modelo de relaci\\u00f3n**\\n\\n- ATC es el **source of truth** para inventario de canchas\\n- Ballbox es el **canal de venta** de trainings\\n- Ambas plataformas mantienen sync en tiempo real\\n\\n---\\n\\n### 2. Descripci\\u00f3n funcional del flujo\\n\\n#### 2.1. Un cliente busca un entrenamiento\\n\\nEl cliente ve en Ballbox los trainers disponibles de un club. Al seleccionar fecha y horario, Ballbox consulta a ATC qu\\u00e9 canchas est\\u00e1n libres en ese momento. Solo muestra opciones disponibles.\\n\\n#### 2.2. El cliente confirma la reserva\\n\\nCuando el cliente paga o confirma el training en Ballbox:\\n1. Ballbox registra la reserva del training para el trainer\\n2. Simult\\u00e1neamente, Ballbox reserva la cancha en ATC para ese horario\\n3. Ambas reservas quedan linkeadas por un identificador compartido\\n4. Si la cancha no se puede reservar (ya se ocup\\u00f3 entre consulta y confirmaci\\u00f3n), Ballbox informa al cliente y sugiere otro horario\\n\\n#### 2.3. El cliente o el trainer cancela desde Ballbox\\n\\nBallbox cancela la reserva del training y, al mismo tiempo, libera la cancha en ATC.\\n\\n#### 2.4. El club cancela o modifica la reserva desde ATC\\n\\nATC notifica a Ballbox del cambio. Ballbox:\\n- Informa al cliente/trainer\\n- Ofrece reagendar o cancelar sin costo\\n- Marca la reserva como afectada\\n\\n#### 2.5. El club tiene la cancha indisponible (mantenimiento, evento)\\n\\nATC informa a Ballbox. Ballbox marca esas horas como no disponibles para nuevos bookings de trainings.\\n\\n---\\n\\n### 3. Escenarios soportados\\n\\n| Escenario | Comportamiento |\\n|-----------|----------------|\\n| Training reservado en Ballbox, club cierra la cancha | Ballbox notifica al cliente, ofrece reagendar |\\n| Trainer cancela training en Ballbox | La cancha se libera en ATC autom\\u00e1ticamente |\\n| Cliente reserva training, la cancha se ocupa antes de confirmar | Ballbox muestra horarios alternativos |\\n| Ballbox cae durante la reserva | La transacci\\u00f3n se deshace; la cancha en ATC no queda reservada |\\n| ATC tiene mantenimiento | Ballbox lo detecta y muestra \\\"canchas temporalmente no disponibles\\\" |\\n\\n---\\n\\n### 4. Definici\\u00f3n de responsabilidades\\n\\n**Ballbox se encarga de:**\\n- Mostrar la oferta de trainings y trainers\\n- Gestionar el checkout, pago y comunicaci\\u00f3n con el cliente\\n- Mantener el estado del training (confirmado, cancelado, reagendado)\\n- Notificar al cliente ante cambios en disponibilidad de cancha\\n- Persistir la referencia cruzada entre booking de training y booking de cancha\\n\\n**ATC se encarga de:**\\n- Mantener el inventario actualizado de canchas por club\\n- Gestionar reservas de cancha (crear, cancelar, consultar disponibilidad)\\n- Procesar pagos de alquiler de canasta si aplica\\n- Notificar a Ballbox ante cambios en reservas de cancha realizados fuera de Ballbox\\n- Proveer soporte t\\u00e9cnico para la integraci\\u00f3n\\n\\n---\\n\\n### 5. Especificaci\\u00f3n t\\u00e9cnica\\n\\n*Requiere que ATC expose los siguientes endpoints (si no existen, se arman en coordinaci\\u00f3n con ATC).*\\n\\n#### 5.1. Consultar disponibilidad\\n\\n```\\nGET /api/v1/clubs/{club_id}/availability?sport={sport}&date={YYYY-MM-DD}\\n\\nRespuesta:\\n{\\n \\\"date\\\": \\\"2026-03-25\\\",\\n \\\"slots\\\": [\\n {\\n \\\"court_id\\\": \\\"court-1\\\",\\n \\\"court_name\\\": \\\"Cancha 1\\\",\\n \\\"time\\\": \\\"14:00\\\",\\n \\\"duration_minutes\\\": 60,\\n \\\"available\\\": true\\n },\\n {\\n \\\"court_id\\\": \\\"court-1\\\",\\n \\\"time\\\": \\\"15:00\\\",\\n \\\"available\\\": false,\\n \\\"reason\\\": \\\"booked\\\"\\n }\\n ]\\n}\\n```\\n\\n#### 5.2. Reservar cancha\\n\\n```\\nPOST /api/v1/bookings\\n{\\n \\\"club_id\\\": \\\"club-123\\\",\\n \\\"court_id\\\": \\\"court-456\\\",\\n \\\"datetime\\\": \\\"2026-03-25T14:00:00\\\",\\n \\\"duration_minutes\\\": 60,\\n \\\"client_name\\\": \\\"Juan P\\u00e9rez\\\",\\n \\\"client_phone\\\": \\\"+5491112345678\\\",\\n \\\"external_ref\\\": \\\"ballbox-bk-789\\\",\\n \\\"notes\\\": \\\"Training Ballbox\\\"\\n}\\n\\nRespuesta:\\n{\\n \\\"booking_id\\\": \\\"atc-bk-111\\\",\\n \\\"status\\\": \\\"confirmed\\\",\\n \\\"court\\\": \\\"Cancha 1\\\",\\n \\\"datetime\\\": \\\"2026-03-25T14:00:00\\\"\\n}\\n```\\n\\n#### 5.3. Cancelar reserva de cancha\\n\\n```\\nDELETE /api/v1/bookings/{atc_booking_id}?reason={reason}\\n\\nRespuesta:\\n{\\n \\\"booking_id\\\": \\\"atc-bk-111\\\",\\n \\\"status\\\": \\\"cancelled\\\"\\n}\\n```\\n\\n#### 5.4. Consultar estado de una reserva\\n\\n```\\nGET /api/v1/bookings/{atc_booking_id}\\n\\nRespuesta:\\n{\\n \\\"booking_id\\\": \\\"atc-bk-111\\\",\\n \\\"status\\\": \\\"confirmed\\\" | \\\"cancelled\\\" | \\\"completed\\\",\\n \\\"court_id\\\": \\\"court-456\\\",\\n \\\"datetime\\\": \\\"2026-03-25T14:00:00\\\"\\n}\\n```\\n\\n#### 5.5. Webhook \\u2014 Notificaciones desde ATC\\n\\nBallbox expone un endpoint que ATC llama ante cambios:\\n\\n```\\nPOST /ballbox/webhooks/atc\\n\\nPayload:\\n{\\n \\\"event\\\": \\\"booking_cancelled\\\" | \\\"court_unavailable\\\" | \\\"maintenance\\\",\\n \\\"atc_booking_id\\\": \\\"atc-bk-111\\\",\\n \\\"external_ref\\\": \\\"ballbox-bk-789\\\",\\n \\\"reason\\\": \\\"club_cancelled\\\" | \\\"court_blocked\\\",\\n \\\"affected_slots\\\": [\\\"2026-03-25T14:00:00\\\"]\\n}\\n```\\n\\nBallbox responde con `200 OK` y procesa el evento.\\n\\n#### 5.6. Autenticaci\\u00f3n\\n\\n- ATC provee `api_key` por club\\n- Ballbox env\\u00eda `Authorization: Bearer {api_key}` en cada request\\n- Ballbox expone webhook con firma HMAC para verificar origen\\n\\n---\\n\\n### 6. Configuraci\\u00f3n por club\\n\\nPara activar la integraci\\u00f3n, cada club configura en Ballbox:\\n\\n| Campo | Descripci\\u00f3n |\\n|-------|-------------|\\n| `atc_club_id` | Identificador del club en ATC |\\n| `atc_api_key` | Clave de API entregada por ATC |\\n| `sports_enabled` | Lista de deportes habilitados (tennis, padel, etc.) |\\n| `default_duration_minutes` | Duraci\\u00f3n por defecto de un training |\\n\\n---\\n\\n### 7. Roadmap de implementaci\\u00f3n sugerida\\n\\n**Fase 1 \\u2014 MVP (4-6 semanas)**\\n- Disponibilidad consulta\\n- Reserva de cancha\\n- Cancelaci\\u00f3n desde Ballbox\\n- Sincronizaci\\u00f3n unidireccional (Ballbox \\u2192 ATC)\\n\\n**Fase 2 \\u2014 Bidireccional (2-3 semanas)**\\n- Webhooks desde ATC\\n- Notificaciones al cliente\\n- Manejo de cancelaciones externas\\n\\n**Fase 3 \\u2014 Robustez (2 semanas)**\\n- Retry con backoff ante fallos de ATC\\n- Cola de sincronizaci\\u00f3n para fallos\\n- Panel de estado de integraci\\u00f3n por club\\n\\n---\\n\\n*Spec elaborado el 24 de marzo de 2026, basado en el patr\\u00f3n de integraci\\u00f3n de Matchable con MATCHi/Matchpoint/KNLTB.*\\n\\n## Fecha de corte\\n\\nInvestigacion basada en fuentes publicas verificadas disponibles el 24 de marzo de 2026.\\n\", \"format\": \"md\", \"status\": \"active\", \"source_ref\": \"personal-agent:run:a1ad721a-bcbc-473e-806d-0793fbbfaac2\", \"created_at\": \"2026-03-24T14:26:24.158968+00:00\", \"updated_at\": \"2026-03-24T15:39:47.195210+00:00\", \"metadata\": {\"report_type\": \"feature-use-case-map\", \"run_id\": \"a1ad721a-bcbc-473e-806d-0793fbbfaac2\", \"topic\": \"matchable\"}}, {\"id\": \"art_1cb15ded78c141abbfc2abd40a45e776\", \"task_id\": \"task_c20a048b387d4513ac38cf0e67bf83cd\", \"artifact_type\": \"delegation_note\", \"title\": \"Handoff personal-agent -> ai-dev-workflow\", \"content\": \"{\\\"completed_at\\\": \\\"2026-03-16T15:46:39.259060+00:00\\\", \\\"error_message\\\": null, \\\"from_agent\\\": \\\"personal-agent\\\", \\\"payload\\\": {\\\"evidence\\\": [\\\"personal_agent/runtime.py:451-492\\\", \\\"personal_agent/runtime.py:297-300\\\", \\\"tests/test_personal.py:909-914\\\", \\\"tests/test_personal.py:934-947\\\", \\\"docs/system-v1.md:114-115\\\"], \\\"goal\\\": \\\"Make ai-dev-workflow handoffs non-terminal on acceptance and gate parent completion on explicit downstream terminal execution results.\\\", \\\"repo\\\": \\\"personal-agent\\\", \\\"requirements\\\": [\\\"If a task decision creates an ai-dev-workflow handoff, do not mark the parent task completed yet.\\\", \\\"Model accepted as non-terminal for ai-dev-workflow handoffs.\\\", \\\"Require explicit downstream terminal result before handoff completion and parent-task completion.\\\", \\\"Update or add tests covering parent-task gating and accepted-vs-terminal handoff states.\\\", \\\"Update docs to remove the 'accepted JSON' success contract.\\\"], \\\"scope\\\": [\\\"personal_agent/runtime.py\\\", \\\"tests/test_personal.py\\\", \\\"docs/system-v1.md\\\", \\\"README.md\\\"], \\\"task_id\\\": \\\"task_c20a048b387d4513ac38cf0e67bf83cd\\\"}, \\\"reason\\\": \\\"personal-agent currently marks parent tasks complete on handoff acceptance instead of downstream execution result\\\", \\\"result_summary\\\": \\\"Deprecated durable ai-dev-workflow handoff. Re-run this work through the code subagent.\\\", \\\"status\\\": \\\"failed\\\", \\\"to_agent\\\": \\\"ai-dev-workflow\\\"}\", \"format\": \"json\", \"status\": \"active\", \"source_ref\": \"migration:v2\", \"created_at\": \"2026-03-24T14:18:16.802651+00:00\", \"updated_at\": \"2026-03-24T14:18:16.802652+00:00\", \"metadata\": {}}, {\"id\": \"art_a6773502ed4d46d09eed3e41081c0c68\", \"task_id\": \"task_2111a366cf73412eadb396acc1c2d004\", \"artifact_type\": \"delegation_note\", \"title\": \"Handoff personal-agent -> ai-dev-workflow\", \"content\": \"{\\\"completed_at\\\": \\\"2026-03-16T15:46:39.272531+00:00\\\", \\\"error_message\\\": null, \\\"from_agent\\\": \\\"personal-agent\\\", \\\"payload\\\": {\\\"expected_artifacts\\\": [\\\"report\\\"], \\\"idempotency_key\\\": \\\"task_2111a366cf73412eadb396acc1c2d004\\\", \\\"intent\\\": \\\"fix in http://127.0.0.1:8082/ UI, in the \\\\\\\"blocked tasks\\\\\\\" input, it looses focus after 1-2 seconds. Doesnt happen for ex on \\\\\\\"NEW INTAKE\\\\\\\"'s input\\\", \\\"route\\\": {\\\"codex_instruction\\\": \\\"Use Python as the shell entrypoint for persistence, approvals, auditability, and shared DB state; reproduce on http://127.0.0.1:8082/, inspect the blocked-tasks input vs NEW INTAKE input render/update paths, fix the remount or state-reset causing blur, then run full repo checks.\\\", \\\"delegation_target\\\": \\\"ai-dev-workflow\\\", \\\"planning_source\\\": \\\"codex\\\", \\\"primary_agent\\\": \\\"code\\\", \\\"reason\\\": \\\"UI focus-loss bug in local app; repo debugging and fix first, with personal-agent context kept for stateful workflow.\\\", \\\"secondary_agent\\\": \\\"personal\\\"}, \\\"task_id\\\": \\\"task_2111a366cf73412eadb396acc1c2d004\\\"}, \\\"reason\\\": \\\"UI focus-loss bug in local app; repo debugging and fix first, with personal-agent context kept for stateful workflow.\\\", \\\"result_summary\\\": \\\"Deprecated durable ai-dev-workflow handoff. Re-run this work through the code subagent.\\\", \\\"status\\\": \\\"failed\\\", \\\"to_agent\\\": \\\"ai-dev-workflow\\\"}\", \"format\": \"json\", \"status\": \"active\", \"source_ref\": \"migration:v2\", \"created_at\": \"2026-03-24T14:18:16.802632+00:00\", \"updated_at\": \"2026-03-24T14:18:16.802633+00:00\", \"metadata\": {}}, {\"id\": \"art_8dea76b1a5d44a6f9384abeb5a80b722\", \"task_id\": \"task_fd7cf4ad58e041da821c13d446f27996\", \"artifact_type\": \"delegation_note\", \"title\": \"Handoff personal-agent -> ai-dev-workflow\", \"content\": \"{\\\"completed_at\\\": \\\"2026-03-16T15:46:39.280464+00:00\\\", \\\"error_message\\\": null, \\\"from_agent\\\": \\\"personal-agent\\\", \\\"payload\\\": {\\\"expected_artifacts\\\": [\\\"report\\\"], \\\"idempotency_key\\\": \\\"task_fd7cf4ad58e041da821c13d446f27996\\\", \\\"intent\\\": \\\"fix in http://127.0.0.1:8082/ UI, in the \\\\\\\"blocked tasks\\\\\\\" input, it looses focus after 1-2 seconds. Doesnt happen for ex on \\\\\\\"NEW INTAKE\\\\\\\"'s input\\\", \\\"route\\\": {\\\"codex_instruction\\\": \\\"Use Python entrypoints/scripts for any persistence, approvals, and audit logging; reproduce the focus loss at http://127.0.0.1:8082/, inspect the blocked-tasks input path versus NEW INTAKE, fix the rerender/state-reset cause, then run repo checks and capture evidence.\\\", \\\"delegation_target\\\": \\\"ai-dev-workflow\\\", \\\"planning_source\\\": \\\"codex\\\", \\\"primary_agent\\\": \\\"code\\\", \\\"reason\\\": \\\"Local UI focus-loss bug in repo; needs code debugging with brief coordination context.\\\", \\\"secondary_agent\\\": \\\"personal\\\"}, \\\"task_id\\\": \\\"task_fd7cf4ad58e041da821c13d446f27996\\\"}, \\\"reason\\\": \\\"Local UI focus-loss bug in repo; needs code debugging with brief coordination context.\\\", \\\"result_summary\\\": \\\"Deprecated durable ai-dev-workflow handoff. Re-run this work through the code subagent.\\\", \\\"status\\\": \\\"failed\\\", \\\"to_agent\\\": \\\"ai-dev-workflow\\\"}\", \"format\": \"json\", \"status\": \"active\", \"source_ref\": \"migration:v2\", \"created_at\": \"2026-03-24T14:18:16.802613+00:00\", \"updated_at\": \"2026-03-24T14:18:16.802614+00:00\", \"metadata\": {}}, {\"id\": \"art_b805be79c68f41eba8779c2c32f8eba4\", \"task_id\": \"task_3f5eaf670f4749a18aa73281d5ab1722\", \"artifact_type\": \"delegation_note\", \"title\": \"Handoff personal-agent -> ai-dev-workflow\", \"content\": \"{\\\"completed_at\\\": \\\"2026-03-16T15:46:39.283908+00:00\\\", \\\"error_message\\\": null, \\\"from_agent\\\": \\\"personal-agent\\\", \\\"payload\\\": {\\\"repo\\\": \\\"personal-agent\\\", \\\"scope\\\": [\\\"recover stale running task runs after daemon restart\\\", \\\"make scripts/daemon-8082.sh process-safe and health-checked\\\", \\\"reconcile child subtasks when parent deliverable completes\\\", \\\"add explicit artifact classification for deliverables vs intermediate/system\\\", \\\"add task detail API/page from existing task_bundle service\\\", \\\"update dashboard with clear current-run block and epic/subtask separation\\\"], \\\"suggested_order\\\": [\\\"runtime recovery\\\", \\\"daemon helper\\\", \\\"subtask reconciliation\\\", \\\"artifact classification\\\", \\\"task detail page\\\", \\\"dashboard refresh\\\", \\\"tests\\\"], \\\"task_id\\\": \\\"task_3f5eaf670f4749a18aa73281d5ab1722\\\"}, \\\"reason\\\": \\\"Repo changes needed in personal-agent for interrupted-run recovery, daemon helper reliability, task/subtask state clarity, artifact classification, and task detail UI.\\\", \\\"result_summary\\\": \\\"Deprecated durable ai-dev-workflow handoff. Re-run this work through the code subagent.\\\", \\\"status\\\": \\\"failed\\\", \\\"to_agent\\\": \\\"ai-dev-workflow\\\"}\", \"format\": \"json\", \"status\": \"active\", \"source_ref\": \"migration:v2\", \"created_at\": \"2026-03-24T14:18:16.802589+00:00\", \"updated_at\": \"2026-03-24T14:18:16.802590+00:00\", \"metadata\": {}}, {\"id\": \"art_f512f87edb3f4c56bff2767964cdd312\", \"task_id\": \"task_2e1c07a93b9d40598bb4bfa504a5d726\", \"artifact_type\": \"delegation_note\", \"title\": \"Handoff personal-agent -> ai-dev-workflow\", \"content\": \"{\\\"completed_at\\\": \\\"2026-03-16T15:46:39.286009+00:00\\\", \\\"error_message\\\": null, \\\"from_agent\\\": \\\"personal-agent\\\", \\\"payload\\\": {\\\"expected_artifacts\\\": [\\\"report\\\"], \\\"idempotency_key\\\": \\\"task_2e1c07a93b9d40598bb4bfa504a5d726\\\", \\\"intent\\\": \\\"Smoke task: assess current V1 readiness and propose one safe internal next step, no repo work and no external actions.\\\", \\\"route\\\": {\\\"codex_instruction\\\": \\\"\\\", \\\"delegation_target\\\": \\\"ai-dev-workflow\\\", \\\"planning_source\\\": \\\"fallback\\\", \\\"primary_agent\\\": \\\"code\\\", \\\"reason\\\": \\\"code work (repo)\\\", \\\"secondary_agent\\\": null}, \\\"task_id\\\": \\\"task_2e1c07a93b9d40598bb4bfa504a5d726\\\"}, \\\"reason\\\": \\\"code work (repo)\\\", \\\"result_summary\\\": \\\"Deprecated durable ai-dev-workflow handoff. Re-run this work through the code subagent.\\\", \\\"status\\\": \\\"failed\\\", \\\"to_agent\\\": \\\"ai-dev-workflow\\\"}\", \"format\": \"json\", \"status\": \"active\", \"source_ref\": \"migration:v2\", \"created_at\": \"2026-03-24T14:18:16.802544+00:00\", \"updated_at\": \"2026-03-24T14:18:16.802546+00:00\", \"metadata\": {}}, {\"id\": \"art_2778eb43a141444b9f9ea6408e009340\", \"task_id\": \"task_ed6a38c1b49f4e829e067d49d206148b\", \"artifact_type\": \"delegation_note\", \"title\": \"Handoff personal-agent -> ai-dev-workflow\", \"content\": \"{\\\"completed_at\\\": \\\"2026-03-16T15:46:39.288035+00:00\\\", \\\"error_message\\\": null, \\\"from_agent\\\": \\\"personal-agent\\\", \\\"payload\\\": {\\\"expected_artifacts\\\": [\\\"report\\\"], \\\"idempotency_key\\\": \\\"task_ed6a38c1b49f4e829e067d49d206148b\\\", \\\"intent\\\": \\\"Smoke test after codex CLI fix: summarize current runtime health and suggest one safe internal next step only.\\\", \\\"route\\\": {\\\"codex_instruction\\\": \\\"\\\", \\\"delegation_target\\\": \\\"ai-dev-workflow\\\", \\\"planning_source\\\": \\\"fallback\\\", \\\"primary_agent\\\": \\\"code\\\", \\\"reason\\\": \\\"code work (fix)\\\", \\\"secondary_agent\\\": null}, \\\"task_id\\\": \\\"task_ed6a38c1b49f4e829e067d49d206148b\\\"}, \\\"reason\\\": \\\"code work (fix)\\\", \\\"result_summary\\\": \\\"Deprecated durable ai-dev-workflow handoff. Re-run this work through the code subagent.\\\", \\\"status\\\": \\\"failed\\\", \\\"to_agent\\\": \\\"ai-dev-workflow\\\"}\", \"format\": \"json\", \"status\": \"active\", \"source_ref\": \"migration:v2\", \"created_at\": \"2026-03-24T14:18:16.802511+00:00\", \"updated_at\": \"2026-03-24T14:18:16.802513+00:00\", \"metadata\": {}}, {\"id\": \"art_55b1c9bdee6f4226a81a9160c4703b62\", \"task_id\": \"task_afed9eaf504f42b99348a815d56148cc\", \"artifact_type\": \"delegation_note\", \"title\": \"Handoff personal-agent -> implementation-agent\", \"content\": \"{\\\"completed_at\\\": \\\"2026-03-14T21:29:18.517341+00:00\\\", \\\"error_message\\\": null, \\\"from_agent\\\": \\\"personal-agent\\\", \\\"payload\\\": {\\\"artifact_id\\\": \\\"art_598b5da707dd47709fc0fe9bb3e79e28\\\", \\\"epic_id\\\": \\\"task_afed9eaf504f42b99348a815d56148cc\\\", \\\"expected_artifacts\\\": [\\\"migration_report\\\", \\\"v1_cross_reference_report\\\"], \\\"idempotency_key\\\": \\\"task_afed9eaf504f42b99348a815d56148cc\\\", \\\"remaining_task_ids\\\": [\\\"task_a240986d7c8a4474ba5246536769deed\\\", \\\"task_c0b65186af7d4013b2c1d2906ea6a28e\\\"]}, \\\"reason\\\": \\\"Finish remaining V1 migration and GitHub cross-reference work\\\", \\\"result_summary\\\": \\\"Finished legacy bridge and V1 multi-repo cross-reference work; shared DB now contains the resume anchors and completion artifacts.\\\", \\\"status\\\": \\\"completed\\\", \\\"to_agent\\\": \\\"implementation-agent\\\"}\", \"format\": \"json\", \"status\": \"active\", \"source_ref\": \"migration:v2\", \"created_at\": \"2026-03-24T14:18:16.802221+00:00\", \"updated_at\": \"2026-03-24T14:18:16.802225+00:00\", \"metadata\": {}}, {\"id\": \"art_8dcad6182a03483aa914ad451db388fa\", \"task_id\": \"task_ac84e7e584494c2a95ed4a5bd2e1f92b\", \"artifact_type\": \"run_failure\", \"title\": \"Codex failure for links en la UI de 8082 en markdown andan mal cuando son archivos porque se marcan como relative d...\", \"content\": \"# Codex run failed\\n\\n- Exit code: 1\\n\\n## Stderr\\nOpenAI Codex v0.115.0 (research preview)\\n--------\\nworkdir: /Users/sebas/Code/ai-dev-workflow\\nmodel: gpt-5.4\\nprovider: openai\\napproval: never\\nsandbox: danger-full-access\\nreasoning effort: none\\nreasoning summaries: none\\nsession id: 019cfdaa-6e65-7d62-801b-03d94c51ba23\\n--------\\nuser\\nYou are running as a direct Codex execution for personal-agent.\\nWork from this repository root: /Users/sebas/Code/ai-dev-workflow\\nUse the repository's local rules and skills.\\nImplement directly when needed.\\nReturn markdown only.\\nInclude these sections:\\n- Summary\\n- Changes\\n- Verification\\n- Outputs\\nIn Outputs, list any branch, PR, file paths, or artifacts created.\\n\\nTask: links en la UI de 8082 en markdown andan mal cuando son archivos porque se marcan como relative de localhost:8082. deberian ser absolute paths (file://...)\\nRelevant memory:\\n- Task completed: investigar playtomic y armar un mapeo exhaustivo de todas sus features y use cases. Primero un br...: ## Brief ejecutivo\\n\\n**Qu\\u00e9 es Playtomic**\\n\\nPlaytomic es una plataforma de dos caras para deportes de raqueta y, en partes del producto, otros deportes de pista/cancha. Tiene cuatro \\n- Task completed: Improve daemon/UI operator workflow and task communication: # Findings\\n\\n## Already implemented\\n\\n- Interrupted run recovery exists in `personal_agent/runtime.py:930`: stale `running` task runs are marked `interrupted`, an `execution_state` a\\n- Task completed: In /Users/sebas/Code/calistenia, change a tiny UI string in the app and run repo checks: ## Findings\\n- Repo was clean before edit.\\n- Remaining user-visible typo found in filter config: `Musculo`.\\n- No `lint`, `typecheck`, or `test` scripts exist in `package.json`; repo\\nmcp: figma starting\\nmcp: figma ready\\nmcp startup: ready: figma\\nERROR: You've hit your usage limit. Upgrade to Pro (https://chatgpt.com/explore/pro), visit https://chatgpt.com/codex/settings/usage to purchase more credits or try again at Mar 18th, 2026 2:28 PM.\\nWarning: no last agent message; wrote empty content to /Users/sebas/personal-agent/data/runs/run_7895a9b3e900469984a61ea6092271fc.md\", \"format\": \"md\", \"status\": \"active\", \"source_ref\": \"personal-agent\", \"created_at\": \"2026-03-17T21:18:55.514267+00:00\", \"updated_at\": \"2026-03-17T21:18:55.514267+00:00\", \"metadata\": {\"classification\": \"intermediate\", \"run_id\": \"run_7895a9b3e900469984a61ea6092271fc\"}}, {\"id\": \"art_smoke_markdown_file_links\", \"task_id\": \"task_smoke_markdown_file_links\", \"artifact_type\": \"report\", \"title\": \"smoke markdown file links\", \"content\": \"[tmp](personal-agent-markdown-link-test.md)\", \"format\": \"md\", \"status\": \"active\", \"source_ref\": \"personal-agent:smoke\", \"created_at\": \"2026-03-17T21:11:26.188844+00:00\", \"updated_at\": \"2026-03-17T21:11:26.188844+00:00\", \"metadata\": {\"cwd\": \"/tmp\"}}, {\"id\": \"art_5e03c108db5345269e77d02e21d07dd9\", \"task_id\": \"task_84da4829fdea45728971df65c57ff33f\", \"artifact_type\": \"report\", \"title\": \"Codex result for Document the current Raycast-based fullscreen notification and reply implementation for Codex.\", \"content\": \"Hi Sebas. Kept it tight.\\n\\nDocumented current live flow in [docs/raycast-codex-notify.md](/Users/sebas/personal-agent/docs/raycast-codex-notify.md). It captures the actual implementation split between `~/.codex/hooks/notify_macos.sh` and `~/Code/raycast-codex-reply`, including:\\n\\n- notify hook decision path\\n- rollout-message recovery from `~/.codex/state_5.sqlite`\\n- Raycast reply bridge files + deeplinks\\n- approval watcher flow\\n- fallback AppleScript dialog\\n- explicit note that `personal-agent`\\u2019s old blocker/reply path is removed, so this is not handled by the current runtime\\n\\nAdded a README pointer at [README.md](/Users/sebas/personal-agent/README.md).\\n\\nVerification: `./scripts/run-checks.sh` passed.\", \"format\": \"md\", \"status\": \"active\", \"source_ref\": \"personal-agent\", \"created_at\": \"2026-03-17T02:12:31.505135+00:00\", \"updated_at\": \"2026-03-17T02:12:31.505135+00:00\", \"metadata\": {\"classification\": \"deliverable\", \"cwd\": \"/Users/sebas/personal-agent\", \"output_refs\": {\"paths\": [\"./scripts/run-checks.sh\", \"~/.codex/hooks/notify_macos.sh\", \"~/.codex/state_5.sqlite\", \"~/Code/raycast-codex-reply\"]}, \"run_id\": \"run_9f50b4d09e5842498c055923a851c678\"}}, {\"id\": \"art_d69dff710f97429882a05b0ec979ac5b\", \"task_id\": \"task_be1a1e514a7d43d1b59009ccca9fb57c\", \"artifact_type\": \"report\", \"title\": \"Codex result for Migrate remaining personal-agent legacy persistence/read paths to the shared task/runtime model\", \"content\": \"Hi. Legacy seam closed.\\n\\nCanonical shared-memory model now drives personal-agent surfaces from [shared_memory.py](/Users/sebas/personal-agent/personal_agent/shared_memory.py), with `personal-agent-memory-v1` and `personal-agent-task-v1` helpers, canonical kind detection, and an actual in-place migrator for old memory/task records plus legacy approval memories. [research_store.py](/Users/sebas/personal-agent/personal_agent/research_store.py) now reads/writes canonical run/source/claim/artifact/task records, drops the old bridge fallback for run inspection, uses native approvals rows for request/list/resolve, and includes approvals in search results. [router.py](/Users/sebas/personal-agent/personal_agent/router.py) now mirrors handoffs with canonical memory metadata, and [scripts/personal.py](/Users/sebas/personal-agent/scripts/personal.py) wires `approvals resolve` back into the CLI. [migration.py](/Users/sebas/personal-agent/personal_agent/migration.py) now runs real migration work instead of no-op, and [README.md](/Users/sebas/personal-agent/README.md) reflects the new model.\\n\\nCoverage added in [tests/test_personal.py](/Users/sebas/personal-agent/tests/test_personal.py) for canonical research records, native approval lifecycle, and legacy migration behavior. Verified with `./scripts/run-checks.sh` and `git diff --check`; both passed. No daemon/UI smoke run.\", \"format\": \"md\", \"status\": \"active\", \"source_ref\": \"personal-agent\", \"created_at\": \"2026-03-17T02:02:06.161088+00:00\", \"updated_at\": \"2026-03-17T02:02:06.161088+00:00\", \"metadata\": {\"classification\": \"deliverable\", \"cwd\": \"/Users/sebas/personal-agent\", \"output_refs\": {\"paths\": [\" helpers, canonical kind detection, and an actual in-place migrator for old memory/task records plus legacy approval memories. [research_store.py](/Users/sebas/personal-agent/personal_agent/research_store.py) now reads/writes canonical run/source/claim/artifact/task records, drops the old bridge fallback for run inspection, uses native approvals rows for request/list/resolve, and includes approvals in search results. [router.py](/Users/sebas/personal-agent/personal_agent/router.py) now mirrors handoffs with canonical memory metadata, and [scripts/personal.py](/Users/sebas/personal-agent/scripts/personal.py) wires \", \"./scripts/run-checks.sh\"]}, \"run_id\": \"run_b694a238b532454bb547c056246a31fd\"}}, {\"id\": \"art_b4f5386484794717b0ddc4c42c265319\", \"task_id\": \"task_871c609196b94132aa686188007f6dea\", \"artifact_type\": \"report\", \"title\": \"Codex result for Consolidate all Ballbox payment-system work from demo validation through production readiness and go-live certification.\", \"content\": \"Consolidated into one active workflow.\\n\\nCreated local repo mapping in [.agents/local-config.json](/Users/sebas/Code/ai-dev-workflow/.agents/local-config.json), set current feature in [.agents/current-feature](/Users/sebas/Code/ai-dev-workflow/.agents/current-feature), and wrote the active feature context in [.agents/feature-contexts/ballbox-payment-system-prod-readiness.json](/Users/sebas/Code/ai-dev-workflow/.agents/feature-contexts/ballbox-payment-system-prod-readiness.json). Added the execution brief/checklist in [docs/ballbox-payment-system-consolidation.md](/Users/sebas/Code/ai-dev-workflow/docs/ballbox-payment-system-consolidation.md).\\n\\nKey consolidation outcome: `ballbox` is stable/demo-facing only; `ballbox-payment-integration` is the real workstream. Demo validation exists now. Production hardening is partially drafted but unstaged in backend. Go-live certification is still blocked by two real gaps: missing TCN/Yunshu live adapter contract, and unvalidated MercadoPago real QR flow.\\n\\nVerification: JSON valid. Shared-memory sync failed because `shared_agent_memory` is not installed/importable in this environment. Control repo also remains behind `origin/main` by 1 commit: `111e974 Feat: accept shared memory run-task handoffs (#2)`. I did not pull because this branch is also 3 commits ahead.\\n\\nBest next move: review and commit the backend readiness slice in `~/Code/ballbox-payment-integration`, then `/status --current`.\", \"format\": \"md\", \"status\": \"active\", \"source_ref\": \"personal-agent\", \"created_at\": \"2026-03-17T01:55:28.432378+00:00\", \"updated_at\": \"2026-03-17T01:55:28.432378+00:00\", \"metadata\": {\"classification\": \"deliverable\", \"cwd\": \"/Users/sebas/Code/ai-dev-workflow\", \"output_refs\": {\"paths\": [\" is not installed/importable in this environment. Control repo also remains behind \", \" is stable/demo-facing only; \", \"~/Code/ballbox-payment-integration\"]}, \"run_id\": \"run_80140950f2c04d10bd3941d712ab0b25\"}}, {\"id\": \"art_a5cbdcb711234fd3b8306f379678523c\", \"task_id\": \"task_746e1a74f77b4cb0b8e3fd950fad90cb\", \"artifact_type\": \"report\", \"title\": \"link smoke\", \"content\": \"[tct](link) [txt](link.com)\", \"format\": \"md\", \"status\": \"active\", \"source_ref\": \"personal-agent\", \"created_at\": \"2026-03-16T20:42:13.176072+00:00\", \"updated_at\": \"2026-03-16T20:42:13.176072+00:00\", \"metadata\": {}}, {\"id\": \"art_322e6f0e62724030b8d995053a5ec674\", \"task_id\": \"task_2f22e794212641c49d7f8a600ad3a4bd\", \"artifact_type\": \"report\", \"title\": \"Codex result for en personal-agent que el script que hace restart del daemon pause tareas corriendo (como sea, que...\", \"content\": \"## Summary\\nImplementado en `personal-agent`: el restart del daemon ahora pausa runs activas, las deja en estado reiniciable, y al levantar de nuevo el runtime intenta relanzarlas solo. Tambi\\u00e9n blind\\u00e9 el watcher para que un run ya pausado no termine marcado como fallo cuando llega el `SIGTERM`.\\n\\n## Changes\\n- [`/Users/sebas/personal-agent/personal_agent/runtime.py`](file:///Users/sebas/personal-agent/personal_agent/runtime.py)\\n - agregado `pause_running_tasks()`\\n - `stop()` ahora puede pausar antes de terminar procesos\\n - runs `running` recuperadas tras restart/crash pasan a `paused`, task vuelve a `draft`, metadata marca `auto_restart_on_daemon_start`\\n - en boot, `_restart_paused_runs()` relanza tasks pausadas con `cwd`/prompt guardados\\n - `_watch_run()` sale temprano si el run ya no est\\u00e1 `running`, evita falso `failed`\\n- [`/Users/sebas/personal-agent/scripts/personal.py`](file:///Users/sebas/personal-agent/scripts/personal.py)\\n - nuevo comando `pause-running --reason ...`\\n- [`/Users/sebas/personal-agent/scripts/daemon-8082.sh`](file:///Users/sebas/personal-agent/scripts/daemon-8082.sh)\\n - `restart` ahora ejecuta `python3 scripts/personal.py pause-running ...` antes de `stop/start`\\n- [`/Users/sebas/personal-agent/tests/test_personal.py`](file:///Users/sebas/personal-agent/tests/test_personal.py)\\n - actualizado recovery test para validar pause + auto-restart\\n - nuevo test para pause/shutdown race, sin false failure/artifact\\n\\n## Verification\\n- `python3 -m unittest tests.test_personal` \\u2705\\n- `./scripts/run-checks.sh` \\u2705\\n- `./scripts/daemon-8082.sh restart`\\n - pause step ejecut\\u00f3 bien\\n - restart completo bloqueado por entorno actual: `\\\"foreign listener on 127.0.0.1:8082 (pid 18283); refusing to stop it\\\"`\\n- `curl -fsS http://127.0.0.1:8082/api/status` \\u2705\\n - confirm\\u00f3 que la task activa qued\\u00f3 `draft` con latest run `paused`\\n\\n## Outputs\\n- Branch: none\\n- PR: none\\n- Files changed:\\n - [`/Users/sebas/personal-agent/personal_agent/runtime.py`](file:///Users/sebas/personal-agent/personal_agent/runtime.py)\\n - [`/Users/sebas/personal-agent/scripts/personal.py`](file:///Users/sebas/personal-agent/scripts/personal.py)\\n - [`/Users/sebas/personal-agent/scripts/daemon-8082.sh`](file:///Users/sebas/personal-agent/scripts/daemon-8082.sh)\\n - [`/Users/sebas/personal-agent/tests/test_personal.py`](file:///Users/sebas/personal-agent/tests/test_personal.py)\\n- Artifacts created: none\", \"format\": \"md\", \"status\": \"active\", \"source_ref\": \"personal-agent\", \"created_at\": \"2026-03-16T20:25:49.823843+00:00\", \"updated_at\": \"2026-03-16T20:25:49.823843+00:00\", \"metadata\": {\"classification\": \"deliverable\", \"cwd\": \"/Users/sebas/personal-agent\", \"output_refs\": {\"branches\": [\"none\"], \"paths\": [\" recuperadas tras restart/crash pasan a \", \"./scripts/daemon-8082.sh restart\", \"./scripts/run-checks.sh\", \"/Users/sebas/personal-agent/personal_agent/runtime.py\", \"/Users/sebas/personal-agent/scripts/daemon-8082.sh\", \"/Users/sebas/personal-agent/scripts/personal.py\", \"/Users/sebas/personal-agent/tests/test_personal.py\", \"curl -fsS http://127.0.0.1:8082/api/status\", \"python3 scripts/personal.py pause-running ...\", \"stop/start\"]}, \"run_id\": \"run_8ff645c9a9ad4d558df0265495267a41\"}}, {\"id\": \"art_d7f2bb1c7a204e56834b97bc4e77989b\", \"task_id\": \"task_8a866bb8156441ff8cee2f0f9f28e0c5\", \"artifact_type\": \"report\", \"title\": \"Codex result for en un worktree nuevo en personal-agent, agregar soporte markdown para links (ej. aca http://127.0...\", \"content\": \"## Summary\\nAgregado soporte markdown para links en artifacts/report renderizados por el daemon. `[USECASE.md](http://...)` ahora sale como `<a>` clickable, no literal. Hecho en worktree nuevo; adem\\u00e1s dej\\u00e9 un test existente compatible con worktrees.\\n\\n## Changes\\n- Link markdown inline en [personal_agent/daemon.py](/Users/sebas/personal-agent-wt-markdown-links/personal_agent/daemon.py#L630)\\n - parse `[label](href)`\\n - `href` allowlist: `http`, `https`, `mailto`, `/`, `./`, `../`, `#`\\n - links no seguros quedan literales\\n- Tests en [tests/test_personal.py](/Users/sebas/personal-agent-wt-markdown-links/tests/test_personal.py#L1653)\\n - cubre render de link local `http://127.0.0.1:8082/artifacts/...`\\n - cubre fallback seguro para `javascript:...`\\n- Fix de test fr\\u00e1gil para worktree en [tests/test_personal.py](/Users/sebas/personal-agent-wt-markdown-links/tests/test_personal.py#L1345)\\n - deja de asumir path absoluto fijo del repo principal\\n\\n## Verification\\n- `./scripts/run-checks.sh`\\n- Resultado: `Ran 36 tests ... OK`\\n\\n## Outputs\\n- Worktree: `/Users/sebas/personal-agent-wt-markdown-links`\\n- Branch: `fix-artifact-markdown-links`\\n- Files changed:\\n - [personal_agent/daemon.py](/Users/sebas/personal-agent-wt-markdown-links/personal_agent/daemon.py)\\n - [tests/test_personal.py](/Users/sebas/personal-agent-wt-markdown-links/tests/test_personal.py)\\n- PR: none\\n- Artifacts: none\", \"format\": \"md\", \"status\": \"active\", \"source_ref\": \"personal-agent\", \"created_at\": \"2026-03-16T19:15:50.674755+00:00\", \"updated_at\": \"2026-03-16T19:15:50.674755+00:00\", \"metadata\": {\"classification\": \"deliverable\", \"cwd\": \"/Users/sebas/personal-agent\", \"output_refs\": {\"paths\": [\"./scripts/run-checks.sh\", \"/Users/sebas/personal-agent-wt-markdown-links\", \"[USECASE.md](http://...)\"]}, \"run_id\": \"run_cce5f6d82e0148f6a56c9c12d159711e\"}}]}, \"audit\": {\"schema_version\": \"shared-agent-memory-v2\", \"memories\": 313, \"tasks\": 194, \"approvals\": 0, \"handoffs\": 0, \"maintenance_jobs\": 4, \"legacy_memory_rows\": 0, \"legacy_task_rows\": 0}}\n/home/sebas/.local/share/opencode/storage/session_diff/ses_2c115b99cffeRK20uB19I3gxlp.json:21: \"after\": \"# Memory Consolidation + Opportunistic Scheduler RFC\\n\\nStatus: draft\\nOwner: Sebas\\nDate: 2026-03-26\\n\\n## Intent\\n\\nAdd a periodic memory consolidation stage to `agents-database` that is explicit, auditable, and catch-up friendly on a laptop. The scheduler must run at the next available moment if the machine was offline at the planned time.\\n\\n## Requirements (selected)\\n\\n- Keep the existing capture→extract→consolidate→promote→index flow.\\n- Explicit provenance, contradictions, and no silent overwrite.\\n- Preserve originals; no hard deletes during consolidation.\\n- Hybrid retrieval remains functional without embeddings.\\n- LLM steps use **MiniMax M2.5 Free** (only when required).\\n- Scheduler is **opportunistic** (runs when available, not only at exact times).\\n- Ship a complete, v1-safe solution; iterate later.\\n\\n## Non-Goals\\n\\n- External cron-only scheduling.\\n- Always-on cloud infra or multi-device coordination.\\n- Autonomous truth rewriting without explicit promotion rules.\\n\\n## Proposed Architecture\\n\\n### 1) Opportunistic Scheduler (Next Available)\\n\\nInstead of relying on cron/launchd timing alone, schedule lives in the DB and the engine runs jobs when it is awake and detects a missed or due run.\\n\\nTrigger points:\\n\\n- Engine startup.\\n- Periodic engine tick (e.g., every 15 minutes while running).\\n- Any write operation that touches the DB (optional fast check).\\n\\nCurrent implementation status:\\n\\n- `maintenance-daemon` provides the periodic tick path.\\n- `MemoryService` now runs an opportunistic due-job check on service startup.\\n- `MemoryService` now runs a fast due-job check after normal write operations.\\n\\nSemantics:\\n\\n- Each job has a `next_due_at` and `window`.\\n- If `now >= next_due_at`, run immediately.\\n- If machine was asleep/offline, the job runs on the next available tick.\\n- After run, compute the next due time based on cadence and configured windows.\\n\\nThis avoids missed runs without requiring exact runtime availability.\\n\\n### 2) Consolidation Pipeline\\n\\nStages per job run:\\n\\n1. **Select candidates** from `memories` with status `inbox` or `episode` older than a minimum age.\\n2. **Dedupe** via similarity signals:\\n - exact match (content + scope + type)\\n - lexical overlap\\n - embedding similarity (if present)\\n - metadata / temporal proximity\\n3. **Conflict detection**: if contradictory claims, create `memory_conflicts` + `memory_links` with `contradicts`.\\n4. **Promotion**: only promote to `active` when above confidence threshold.\\n5. **Archival**: archive duplicates; never delete originals.\\n\\nLLM usage:\\n\\n- Only for synthesis/abstraction when similarity is mid-range (not near-exact).\\n- Use MiniMax M2.5 Free model for summaries/synthesis.\\n- Hard budget caps per run; fallback to non-LLM merge if budget is exceeded.\\n\\n### 3) Cost + Safety Guardrails\\n\\n- Max LLM calls per batch.\\n- Budget cap per day/week.\\n- Preserve originals toggle on by default.\\n- Manual review queue for low-confidence or conflict-heavy items.\\n\\n## Data Model Additions\\n\\n### maintenance_jobs\\n\\nStores periodic job definitions and state.\\n\\n```sql\\nCREATE TABLE IF NOT EXISTS maintenance_jobs (\\n id TEXT PRIMARY KEY,\\n job_type TEXT NOT NULL, -- e.g. consolidation\\n cadence TEXT NOT NULL, -- daily | weekly | interval\\n interval_minutes INTEGER, -- for interval cadence\\n window_start TEXT, -- optional time window start (local time)\\n window_end TEXT, -- optional time window end (local time)\\n next_due_at TEXT NOT NULL,\\n last_run_at TEXT,\\n last_status TEXT,\\n last_summary TEXT,\\n enabled INTEGER NOT NULL DEFAULT 1,\\n metadata_json TEXT NOT NULL,\\n created_at TEXT NOT NULL,\\n updated_at TEXT NOT NULL\\n);\\n```\\n\\n### maintenance_runs\\n\\nAudit trail per execution.\\n\\n```sql\\nCREATE TABLE IF NOT EXISTS maintenance_runs (\\n id TEXT PRIMARY KEY,\\n job_id TEXT NOT NULL,\\n status TEXT NOT NULL, -- running | completed | failed\\n started_at TEXT NOT NULL,\\n completed_at TEXT,\\n summary TEXT,\\n stats_json TEXT NOT NULL,\\n error_message TEXT,\\n FOREIGN KEY(job_id) REFERENCES maintenance_jobs(id)\\n);\\n```\\n\\n### memory_conflicts\\n\\nExplicit conflict registry.\\n\\n```sql\\nCREATE TABLE IF NOT EXISTS memory_conflicts (\\n id TEXT PRIMARY KEY,\\n memory_id TEXT NOT NULL,\\n conflicting_memory_id TEXT NOT NULL,\\n reason TEXT NOT NULL,\\n created_at TEXT NOT NULL,\\n metadata_json TEXT NOT NULL,\\n FOREIGN KEY(memory_id) REFERENCES memories(id),\\n FOREIGN KEY(conflicting_memory_id) REFERENCES memories(id)\\n);\\n```\\n\\nIndexes:\\n\\n```sql\\nCREATE INDEX IF NOT EXISTS idx_maintenance_jobs_due ON maintenance_jobs(next_due_at);\\nCREATE INDEX IF NOT EXISTS idx_maintenance_runs_job ON maintenance_runs(job_id);\\nCREATE INDEX IF NOT EXISTS idx_memory_conflicts_mem ON memory_conflicts(memory_id);\\n```\\n\\n## Consolidation Heuristics (v1)\\n\\n- Candidate age: >= 7 days for `episode` and `inbox`.\\n- Dedup threshold:\\n - exact match: immediate archive + link\\n - high similarity (>= 0.90): merge\\n - medium similarity (0.75–0.89): LLM synthesize (MiniMax M2.5 Free)\\n - low similarity: no merge\\n- Promotion threshold: confidence >= 0.70\\n- Conflict threshold: similarity below merge threshold but overlapping entities/keywords with contradictory polarity.\\n\\n## LLM Configuration\\n\\n- Provider/model: **MiniMax M2.5 Free**\\n- Use only when `strategy == synthesize` or `abstract`.\\n- Token budget caps per run; hard stop with non-LLM fallback.\\n\\nExecution (v1):\\n\\n- Calls the configured CLI runner and passes the prompt via stdin.\\n- Job metadata can override the command via `llm_command`.\\n\\n## Scheduler Details (v1)\\n\\n### Job definition\\n\\n- Daily light runs at 10:00 and 15:00: dedupe + promotion checks (no LLM by default).\\n- Weekly deep run: include LLM synthesis and abstraction.\\n\\n### Next-available algorithm (pseudo)\\n\\n```python\\nfor job in maintenance_jobs where enabled=1:\\n if now >= job.next_due_at:\\n run_job(job)\\n job.last_run_at = now\\n job.next_due_at = compute_next_due(job)\\n```\\n\\n`compute_next_due(job)` respects `window_start/window_end`; if outside window, schedule the next window start. If missed, run immediately and schedule the next window.\\n\\n## Gotchas\\n\\n- Job windows are interpreted as UTC (based on stored ISO timestamps).\\n- If the configured runner is unavailable, LLM synthesis is skipped without failing the job.\\n\n\nCommand timed out after 40 seconds"}],"details":{},"isError":true,"timestamp":1776390162276}} {"type":"message","id":"a398ffc9","parentId":"d6d15021","timestamp":"2026-04-17T01:42:50.833Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_Fphhj1zfOky1544u43xBBz43|fc_0fd7a590eb8baf350169e1901ab2708197a16d309accb5f0c8","name":"bash","arguments":{"command":"rg -n '/home/sebas/agents-database|/mnt/rpi/agents-database' /home/sebas/.config/systemd/user /mnt/rpi/agents-database 2>/dev/null | sed -n '1,220p'","timeout":20}},{"type":"toolCall","id":"call_nzNbwPrMF8tCCIqmHn47dp2K|fc_0fd7a590eb8baf350169e1901ab2808197a926e51ebd5b51e3","name":"bash","arguments":{"command":"systemctl --user cat agents-database-http.service 2>/dev/null | sed -n '1,200p'\nprintf '%s\\n' '--- LIST TIMERS ---'\nsystemctl --user list-timers --all --no-pager 2>/dev/null | sed -n '1,160p'","timeout":20}},{"type":"toolCall","id":"call_tQP2Fw1AYYAMMT9XG2LVDgS3|fc_0fd7a590eb8baf350169e1901ab288819781a0f40fb7fd8077","name":"bash","arguments":{"command":"find /home/sebas -maxdepth 4 \\( -path '/home/sebas/.cache' -o -path '/home/sebas/.local/share/opencode' \\) -prune -o -type f -print0 2>/dev/null | xargs -0 rg -n '/home/sebas/agents-database' 2>/dev/null | sed -n '1,200p'","timeout":20}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":29656,"output":276,"cacheRead":27392,"cacheWrite":0,"totalTokens":57324,"cost":{"input":0.07414000000000001,"output":0.0041400000000000005,"cacheRead":0.006848,"cacheWrite":0,"total":0.08512800000000001}},"stopReason":"toolUse","timestamp":1776390162290,"responseId":"resp_0fd7a590eb8baf350169e19013de44819793143890a81aff5d"}} {"type":"message","id":"98b458aa","parentId":"a398ffc9","timestamp":"2026-04-17T01:42:50.855Z","message":{"role":"toolResult","toolCallId":"call_Fphhj1zfOky1544u43xBBz43|fc_0fd7a590eb8baf350169e1901ab2708197a16d309accb5f0c8","toolName":"bash","content":[{"type":"text","text":"/home/sebas/.config/systemd/user/agents-database-http.service:8:WorkingDirectory=/mnt/rpi/agents-database\n/home/sebas/.config/systemd/user/agents-database-http.service:9:Environment=DB_PATH=/mnt/rpi/agents-database/data/shared-agent-memory.sqlite3\n/home/sebas/.config/systemd/user/agents-database-http.service:12:ExecStart=/mnt/rpi/agents-database/scripts/run-http-api.sh\n/home/sebas/.config/systemd/user/personal-agent.service:11:Environment=PERSONAL_AGENT_SHARED_MEMORY_ROOT=/home/sebas/agents-database\n/mnt/rpi/agents-database/systemd/user/agents-database-maintenance.service:7:WorkingDirectory=/home/sebas/agents-database\n/mnt/rpi/agents-database/systemd/user/agents-database-maintenance.service:8:Environment=DB_PATH=/home/sebas/agents-database/data/shared-agent-memory.sqlite3\n/mnt/rpi/agents-database/systemd/user/agents-database-maintenance.service:11:ExecStart=/home/sebas/agents-database/scripts/run-maintenance-daemon.sh\n/mnt/rpi/agents-database/systemd/user/agents-database-http.service:8:WorkingDirectory=/home/sebas/agents-database\n/mnt/rpi/agents-database/systemd/user/agents-database-http.service:9:Environment=DB_PATH=/home/sebas/agents-database/data/shared-agent-memory.sqlite3\n/mnt/rpi/agents-database/systemd/user/agents-database-http.service:12:ExecStart=/home/sebas/agents-database/scripts/run-http-api.sh\n/mnt/rpi/agents-database/docs/memory-consolidation-rfc.md:213:- install with `ln -sf /home/sebas/agents-database/systemd/user/agents-database-maintenance.service /home/sebas/.config/systemd/user/agents-database-maintenance.service`\n"}],"isError":false,"timestamp":1776390170854}} {"type":"message","id":"7ca6ca4f","parentId":"98b458aa","timestamp":"2026-04-17T01:42:50.891Z","message":{"role":"toolResult","toolCallId":"call_nzNbwPrMF8tCCIqmHn47dp2K|fc_0fd7a590eb8baf350169e1901ab2808197a926e51ebd5b51e3","toolName":"bash","content":[{"type":"text","text":"# /home/sebas/.config/systemd/user/agents-database-http.service\n[Unit]\nDescription=Agents Database HTTP API\nAfter=network-online.target\nWants=network-online.target\n\n[Service]\nType=simple\nWorkingDirectory=/mnt/rpi/agents-database\nEnvironment=DB_PATH=/mnt/rpi/agents-database/data/shared-agent-memory.sqlite3\nEnvironment=HOST=0.0.0.0\nEnvironment=PORT=8091\nExecStart=/mnt/rpi/agents-database/scripts/run-http-api.sh\nRestart=always\nRestartSec=10\n\n[Install]\nWantedBy=default.target\n--- LIST TIMERS ---\nNEXT LEFT LAST PASSED UNIT ACTIVATES\n\n0 timers listed.\n"}],"isError":false,"timestamp":1776390170891}} {"type":"message","id":"ec2817d8","parentId":"7ca6ca4f","timestamp":"2026-04-17T01:42:51.115Z","message":{"role":"toolResult","toolCallId":"call_tQP2Fw1AYYAMMT9XG2LVDgS3|fc_0fd7a590eb8baf350169e1901ab288819781a0f40fb7fd8077","toolName":"bash","content":[{"type":"text","text":"/home/sebas/.config/systemd/user/personal-agent.service:11:Environment=PERSONAL_AGENT_SHARED_MEMORY_ROOT=/home/sebas/agents-database\n"}],"isError":false,"timestamp":1776390171115}} {"type":"message","id":"57f54462","parentId":"ec2817d8","timestamp":"2026-04-17T01:42:52.779Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_W0mvPcnUNucscDXCJylOG3uk|fc_0fd7a590eb8baf350169e1901c2f088197b4de93b375c91170","name":"read","arguments":{"path":"/home/sebas/.config/systemd/user/personal-agent.service"}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":724,"output":29,"cacheRead":57216,"cacheWrite":0,"totalTokens":57969,"cost":{"input":0.0018100000000000002,"output":0.000435,"cacheRead":0.014303999999999999,"cacheWrite":0,"total":0.016548999999999998}},"stopReason":"toolUse","timestamp":1776390171116,"responseId":"resp_0fd7a590eb8baf350169e1901b7da88197911fe39d64e2093b"}} {"type":"message","id":"0523ca60","parentId":"57f54462","timestamp":"2026-04-17T01:42:52.784Z","message":{"role":"toolResult","toolCallId":"call_W0mvPcnUNucscDXCJylOG3uk|fc_0fd7a590eb8baf350169e1901c2f088197b4de93b375c91170","toolName":"read","content":[{"type":"text","text":"[Unit]\nDescription=Personal Agent daemon\nAfter=network-online.target\nWants=network-online.target\n\n[Service]\nType=simple\nWorkingDirectory=/home/sebas/personal-agent\nEnvironment=HOST=0.0.0.0\nEnvironment=PORT=8082\nEnvironment=PERSONAL_AGENT_SHARED_MEMORY_ROOT=/home/sebas/agents-database\nExecStart=/home/sebas/personal-agent/scripts/run-server-daemon.sh\nRestart=always\nRestartSec=10\n\n[Install]\nWantedBy=default.target\n"}],"isError":false,"timestamp":1776390172783}} {"type":"message","id":"d256d9c0","parentId":"0523ca60","timestamp":"2026-04-17T01:42:59.773Z","message":{"role":"assistant","content":[{"type":"text","text":"Encontré más basura vieja. Importante:\n\nHallazgos:\n- ya arreglado:\n - `~/.config/systemd/user/agents-database-http.service` -> bien, usa `/mnt/rpi/agents-database`\n- todavía roto o viejo:\n - `~/.config/systemd/user/personal-agent.service`\n - `Environment=PERSONAL_AGENT_SHARED_MEMORY_ROOT=/home/sebas/agents-database`\n - repo templates viejos:\n - `/mnt/rpi/agents-database/systemd/user/agents-database-http.service`\n - `/mnt/rpi/agents-database/systemd/user/agents-database-maintenance.service`\n - doc vieja:\n - `/mnt/rpi/agents-database/docs/memory-consolidation-rfc.md`\n\nQué significa:\n- riesgo real: `personal-agent` todavía apunta a ruta vieja para shared memory root\n- riesgo futuro: si reinstalas/relinkeas units desde repo template, rompes otra vez\n- maintenance service template también quedó viejo, aunque ahora no hay timer activo\n\nRecomiendo arreglar ahora:\n1. actualizar `personal-agent.service` a `/mnt/rpi/agents-database`\n2. actualizar templates en repo `agents-database/systemd/user/*`\n3. opcional: corregir doc para no reintroducir bug\n\nDi “hazlo” y lo hago.","textSignature":"{\"v\":1,\"id\":\"msg_0fd7a590eb8baf350169e1901e63a481978fe98f37ee8ad1e5\",\"phase\":\"final_answer\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":232,"output":285,"cacheRead":57856,"cacheWrite":0,"totalTokens":58373,"cost":{"input":0.00058,"output":0.004275,"cacheRead":0.014464,"cacheWrite":0,"total":0.019319}},"stopReason":"stop","timestamp":1776390172784,"responseId":"resp_0fd7a590eb8baf350169e1901d48408197b0638559f785cdab"}} {"type":"message","id":"6dfefa93","parentId":"d256d9c0","timestamp":"2026-04-17T01:43:31.629Z","message":{"role":"user","content":[{"type":"text","text":"hazlo"}],"timestamp":1776390211627}} {"type":"message","id":"21b04309","parentId":"6dfefa93","timestamp":"2026-04-17T01:43:34.771Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_XY7gosBzvz1yU7efLZdak21I|fc_0fd7a590eb8baf350169e1904554f4819793708d98630afd76","name":"edit","arguments":{"path":"/home/sebas/.config/systemd/user/personal-agent.service","edits":[{"oldText":"Environment=PERSONAL_AGENT_SHARED_MEMORY_ROOT=/home/sebas/agents-database\n","newText":"Environment=PERSONAL_AGENT_SHARED_MEMORY_ROOT=/mnt/rpi/agents-database\n"}]}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":141,"output":76,"cacheRead":58240,"cacheWrite":0,"totalTokens":58457,"cost":{"input":0.0003525,"output":0.00114,"cacheRead":0.01456,"cacheWrite":0,"total":0.0160525}},"stopReason":"toolUse","timestamp":1776390211629,"responseId":"resp_0fd7a590eb8baf350169e190443d20819793a689d3d3665d49"}} {"type":"message","id":"06cbc65f","parentId":"21b04309","timestamp":"2026-04-17T01:43:34.780Z","message":{"role":"toolResult","toolCallId":"call_XY7gosBzvz1yU7efLZdak21I|fc_0fd7a590eb8baf350169e1904554f4819793708d98630afd76","toolName":"edit","content":[{"type":"text","text":"Successfully replaced 1 block(s) in /home/sebas/.config/systemd/user/personal-agent.service."}],"details":{"diff":" ...\n 7 Type=simple\n 8 WorkingDirectory=/home/sebas/personal-agent\n 9 Environment=HOST=0.0.0.0\n 10 Environment=PORT=8082\n-11 Environment=PERSONAL_AGENT_SHARED_MEMORY_ROOT=/home/sebas/agents-database\n+11 Environment=PERSONAL_AGENT_SHARED_MEMORY_ROOT=/mnt/rpi/agents-database\n 12 ExecStart=/home/sebas/personal-agent/scripts/run-server-daemon.sh\n 13 Restart=always\n 14 RestartSec=10\n 15 \n ...","firstChangedLine":11},"isError":false,"timestamp":1776390214780}} 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{"type":"message","id":"ca3b0f9a","parentId":"d9bc7748","timestamp":"2026-04-17T01:43:41.036Z","message":{"role":"toolResult","toolCallId":"call_oqanF4YUNElvR4t5HocBJuKH|fc_0fd7a590eb8baf350169e190482a608197afd82d56f1b6f75c","toolName":"edit","content":[{"type":"text","text":"Successfully replaced 1 block(s) in /mnt/rpi/agents-database/systemd/user/agents-database-http.service."}],"details":{"diff":" ...\n 4 Wants=network-online.target\n 5 \n 6 [Service]\n 7 Type=simple\n- 8 WorkingDirectory=/home/sebas/agents-database\n- 9 Environment=DB_PATH=/home/sebas/agents-database/data/shared-agent-memory.sqlite3\n+ 8 WorkingDirectory=/mnt/rpi/agents-database\n+ 9 Environment=DB_PATH=/mnt/rpi/agents-database/data/shared-agent-memory.sqlite3\n 10 Environment=HOST=0.0.0.0\n 11 Environment=PORT=8091\n-12 ExecStart=/home/sebas/agents-database/scripts/run-http-api.sh\n+12 ExecStart=/mnt/rpi/agents-database/scripts/run-http-api.sh\n 13 Restart=always\n 14 RestartSec=10\n 15 \n 16 [Install]\n ...","firstChangedLine":8},"isError":false,"timestamp":1776390221036}} {"type":"message","id":"17add60d","parentId":"ca3b0f9a","timestamp":"2026-04-17T01:43:46.022Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_jApn1UGpgjpPdsMqFxBbHg00|fc_0fd7a590eb8baf350169e1904e21088197bb968a97e9520688","name":"edit","arguments":{"path":"/mnt/rpi/agents-database/systemd/user/agents-database-maintenance.service","edits":[{"oldText":"[Service]\nType=simple\nWorkingDirectory=/home/sebas/agents-database\nEnvironment=DB_PATH=/home/sebas/agents-database/data/shared-agent-memory.sqlite3\nEnvironment=INTERVAL_SECONDS=900\nEnvironment=LLM_COMMAND=minimax-text\nExecStart=/home/sebas/agents-database/scripts/run-maintenance-daemon.sh\nRestart=always\nRestartSec=10\n","newText":"[Service]\nType=simple\nWorkingDirectory=/mnt/rpi/agents-database\nEnvironment=DB_PATH=/mnt/rpi/agents-database/data/shared-agent-memory.sqlite3\nEnvironment=INTERVAL_SECONDS=900\nEnvironment=LLM_COMMAND=minimax-text\nExecStart=/mnt/rpi/agents-database/scripts/run-maintenance-daemon.sh\nRestart=always\nRestartSec=10\n"}]}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":239,"output":211,"cacheRead":58496,"cacheWrite":0,"totalTokens":58946,"cost":{"input":0.0005975,"output":0.0031650000000000003,"cacheRead":0.014624,"cacheWrite":0,"total":0.0183865}},"stopReason":"toolUse","timestamp":1776390221037,"responseId":"resp_0fd7a590eb8baf350169e1904d6ef48197bb60d752d428b1fa"}} {"type":"message","id":"97e19de3","parentId":"17add60d","timestamp":"2026-04-17T01:43:46.028Z","message":{"role":"toolResult","toolCallId":"call_jApn1UGpgjpPdsMqFxBbHg00|fc_0fd7a590eb8baf350169e1904e21088197bb968a97e9520688","toolName":"edit","content":[{"type":"text","text":"Could not find the exact text in /mnt/rpi/agents-database/systemd/user/agents-database-maintenance.service. The old text must match exactly including all whitespace and newlines."}],"details":{},"isError":true,"timestamp":1776390226028}} {"type":"message","id":"d95f7c12","parentId":"97e19de3","timestamp":"2026-04-17T01:43:48.065Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_oEiHHY3JigshrYGQxTxLt4tC|fc_0fd7a590eb8baf350169e1905358fc81979f80e1ce2803ce20","name":"read","arguments":{"path":"/mnt/rpi/agents-database/systemd/user/agents-database-maintenance.service"}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":243,"output":34,"cacheRead":58752,"cacheWrite":0,"totalTokens":59029,"cost":{"input":0.0006075000000000001,"output":0.00051,"cacheRead":0.014688,"cacheWrite":0,"total":0.0158055}},"stopReason":"toolUse","timestamp":1776390226029,"responseId":"resp_0fd7a590eb8baf350169e190529ce4819798c3fc133bdd94cf"}} {"type":"message","id":"8d7ab476","parentId":"d95f7c12","timestamp":"2026-04-17T01:43:48.068Z","message":{"role":"toolResult","toolCallId":"call_oEiHHY3JigshrYGQxTxLt4tC|fc_0fd7a590eb8baf350169e1905358fc81979f80e1ce2803ce20","toolName":"read","content":[{"type":"text","text":"[Unit]\nDescription=Agents Database maintenance daemon\nAfter=default.target\n\n[Service]\nType=simple\nWorkingDirectory=/home/sebas/agents-database\nEnvironment=DB_PATH=/home/sebas/agents-database/data/shared-agent-memory.sqlite3\nEnvironment=INTERVAL_SECONDS=900\nEnvironment=JITTER_SECONDS=60\nExecStart=/home/sebas/agents-database/scripts/run-maintenance-daemon.sh\nRestart=always\nRestartSec=10\n\n[Install]\nWantedBy=default.target\n"}],"isError":false,"timestamp":1776390228068}} {"type":"message","id":"b5380475","parentId":"8d7ab476","timestamp":"2026-04-17T01:43:53.810Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_hL1IQzFCgMlQF3eu4sutIJKf|fc_0fd7a590eb8baf350169e1905613008197bc95173e7f974656","name":"edit","arguments":{"path":"/mnt/rpi/agents-database/systemd/user/agents-database-maintenance.service","edits":[{"oldText":"[Service]\nType=simple\nWorkingDirectory=/home/sebas/agents-database\nEnvironment=DB_PATH=/home/sebas/agents-database/data/shared-agent-memory.sqlite3\nEnvironment=INTERVAL_SECONDS=900\nEnvironment=JITTER_SECONDS=60\nExecStart=/home/sebas/agents-database/scripts/run-maintenance-daemon.sh\nRestart=always\nRestartSec=10\n","newText":"[Service]\nType=simple\nWorkingDirectory=/mnt/rpi/agents-database\nEnvironment=DB_PATH=/mnt/rpi/agents-database/data/shared-agent-memory.sqlite3\nEnvironment=INTERVAL_SECONDS=900\nEnvironment=JITTER_SECONDS=60\nExecStart=/mnt/rpi/agents-database/scripts/run-maintenance-daemon.sh\nRestart=always\nRestartSec=10\n"}]}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":263,"output":209,"cacheRead":58880,"cacheWrite":0,"totalTokens":59352,"cost":{"input":0.0006575000000000001,"output":0.003135,"cacheRead":0.014719999999999999,"cacheWrite":0,"total":0.018512499999999998}},"stopReason":"toolUse","timestamp":1776390228069,"responseId":"resp_0fd7a590eb8baf350169e19054d5b08197bd6bcfa9a9537e95"}} {"type":"message","id":"cb2976d0","parentId":"b5380475","timestamp":"2026-04-17T01:43:53.815Z","message":{"role":"toolResult","toolCallId":"call_hL1IQzFCgMlQF3eu4sutIJKf|fc_0fd7a590eb8baf350169e1905613008197bc95173e7f974656","toolName":"edit","content":[{"type":"text","text":"Successfully replaced 1 block(s) in /mnt/rpi/agents-database/systemd/user/agents-database-maintenance.service."}],"details":{"diff":" ...\n 3 After=default.target\n 4 \n 5 [Service]\n 6 Type=simple\n- 7 WorkingDirectory=/home/sebas/agents-database\n- 8 Environment=DB_PATH=/home/sebas/agents-database/data/shared-agent-memory.sqlite3\n+ 7 WorkingDirectory=/mnt/rpi/agents-database\n+ 8 Environment=DB_PATH=/mnt/rpi/agents-database/data/shared-agent-memory.sqlite3\n 9 Environment=INTERVAL_SECONDS=900\n 10 Environment=JITTER_SECONDS=60\n-11 ExecStart=/home/sebas/agents-database/scripts/run-maintenance-daemon.sh\n+11 ExecStart=/mnt/rpi/agents-database/scripts/run-maintenance-daemon.sh\n 12 Restart=always\n 13 RestartSec=10\n 14 \n 15 [Install]\n ...","firstChangedLine":7},"isError":false,"timestamp":1776390233815}} {"type":"message","id":"12d5c737","parentId":"cb2976d0","timestamp":"2026-04-17T01:44:00.696Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_g389PJU3msA9jdywXzzgwrAg|fc_0fd7a590eb8baf350169e1905e14588197af9a2a1117b1247d","name":"edit","arguments":{"path":"/mnt/rpi/agents-database/docs/memory-consolidation-rfc.md","edits":[{"oldText":"- install with `ln -sf /home/sebas/agents-database/systemd/user/agents-database-maintenance.service /home/sebas/.config/systemd/user/agents-database-maintenance.service`\n","newText":"- install with `ln -sf /mnt/rpi/agents-database/systemd/user/agents-database-maintenance.service /home/sebas/.config/systemd/user/agents-database-maintenance.service`\n"}]}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":125,"output":132,"cacheRead":59264,"cacheWrite":0,"totalTokens":59521,"cost":{"input":0.0003125,"output":0.00198,"cacheRead":0.014816,"cacheWrite":0,"total":0.0171085}},"stopReason":"toolUse","timestamp":1776390233816,"responseId":"resp_0fd7a590eb8baf350169e1905a47ec8197b4f13f03db7c767d"}} {"type":"message","id":"0d058c72","parentId":"12d5c737","timestamp":"2026-04-17T01:44:00.731Z","message":{"role":"toolResult","toolCallId":"call_g389PJU3msA9jdywXzzgwrAg|fc_0fd7a590eb8baf350169e1905e14588197af9a2a1117b1247d","toolName":"edit","content":[{"type":"text","text":"Successfully replaced 1 block(s) in /mnt/rpi/agents-database/docs/memory-consolidation-rfc.md."}],"details":{"diff":" ...\n 209 \n 210 Linux systemd user service:\n 211 \n 212 - `systemd/user/agents-database-maintenance.service`\n-213 - install with `ln -sf /home/sebas/agents-database/systemd/user/agents-database-maintenance.service /home/sebas/.config/systemd/user/agents-database-maintenance.service`\n+213 - install with `ln -sf /mnt/rpi/agents-database/systemd/user/agents-database-maintenance.service /home/sebas/.config/systemd/user/agents-database-maintenance.service`\n 214 - enable with `systemctl --user daemon-reload && systemctl --user enable --now agents-database-maintenance.service`\n 215 - requires `loginctl enable-linger sebas` if the machine should restart the user service after reboot without waiting for login\n 216 \n 217 ## Progress Log (living)\n ...","firstChangedLine":213},"isError":false,"timestamp":1776390240730}} {"type":"message","id":"dc4f98b0","parentId":"0d058c72","timestamp":"2026-04-17T01:44:04.794Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_AWrjJJrX9uBK3bwOtDMuh8X0|fc_0fd7a590eb8baf350169e19061d51c819781ff8bb8fe5b4b2e","name":"bash","arguments":{"command":"systemctl --user daemon-reload && systemctl --user restart personal-agent.service && sleep 2\nprintf '%s\\n' '--- PERSONAL AGENT STATUS ---'\nsystemctl --user --no-pager --full status personal-agent.service 2>&1 | sed -n '1,120p'\nprintf '%s\\n' '--- VERIFY REFERENCES ---'\nrg -n '/home/sebas/agents-database|/mnt/rpi/agents-database' /home/sebas/.config/systemd/user /mnt/rpi/agents-database 2>/dev/null | sed -n '1,220p'","timeout":30}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":165,"output":151,"cacheRead":59392,"cacheWrite":0,"totalTokens":59708,"cost":{"input":0.00041250000000000005,"output":0.002265,"cacheRead":0.014848,"cacheWrite":0,"total":0.0175255}},"stopReason":"toolUse","timestamp":1776390240732,"responseId":"resp_0fd7a590eb8baf350169e1906113fc8197a729d838e0595103"}} {"type":"message","id":"bbe796ab","parentId":"dc4f98b0","timestamp":"2026-04-17T01:44:06.992Z","message":{"role":"toolResult","toolCallId":"call_AWrjJJrX9uBK3bwOtDMuh8X0|fc_0fd7a590eb8baf350169e19061d51c819781ff8bb8fe5b4b2e","toolName":"bash","content":[{"type":"text","text":"--- PERSONAL AGENT STATUS ---\n● personal-agent.service - Personal Agent daemon\n Loaded: loaded (/home/sebas/.config/systemd/user/personal-agent.service; enabled; preset: enabled)\n Active: active (running) since Thu 2026-04-16 22:44:04 -03; 2s ago\n Invocation: 19b199d97b8b4a84bbec69c3aef99773\n Main PID: 161137 (python3)\n Tasks: 1 (limit: 9571)\n CPU: 139ms\n CGroup: /user.slice/user-1000.slice/user@1000.service/app.slice/personal-agent.service\n └─161137 python3 /home/sebas/personal-agent/scripts/personal.py daemon --host 0.0.0.0 --port 8082\n\nApr 16 22:44:04 ballbox-first systemd[1273]: Started personal-agent.service - Personal Agent daemon.\n--- VERIFY REFERENCES ---\n/home/sebas/.config/systemd/user/agents-database-http.service:8:WorkingDirectory=/mnt/rpi/agents-database\n/home/sebas/.config/systemd/user/agents-database-http.service:9:Environment=DB_PATH=/mnt/rpi/agents-database/data/shared-agent-memory.sqlite3\n/home/sebas/.config/systemd/user/agents-database-http.service:12:ExecStart=/mnt/rpi/agents-database/scripts/run-http-api.sh\n/home/sebas/.config/systemd/user/personal-agent.service:11:Environment=PERSONAL_AGENT_SHARED_MEMORY_ROOT=/mnt/rpi/agents-database\n/mnt/rpi/agents-database/systemd/user/agents-database-maintenance.service:7:WorkingDirectory=/mnt/rpi/agents-database\n/mnt/rpi/agents-database/systemd/user/agents-database-maintenance.service:8:Environment=DB_PATH=/mnt/rpi/agents-database/data/shared-agent-memory.sqlite3\n/mnt/rpi/agents-database/systemd/user/agents-database-maintenance.service:11:ExecStart=/mnt/rpi/agents-database/scripts/run-maintenance-daemon.sh\n/mnt/rpi/agents-database/systemd/user/agents-database-http.service:8:WorkingDirectory=/mnt/rpi/agents-database\n/mnt/rpi/agents-database/systemd/user/agents-database-http.service:9:Environment=DB_PATH=/mnt/rpi/agents-database/data/shared-agent-memory.sqlite3\n/mnt/rpi/agents-database/systemd/user/agents-database-http.service:12:ExecStart=/mnt/rpi/agents-database/scripts/run-http-api.sh\n/mnt/rpi/agents-database/docs/memory-consolidation-rfc.md:213:- install with `ln -sf /mnt/rpi/agents-database/systemd/user/agents-database-maintenance.service /home/sebas/.config/systemd/user/agents-database-maintenance.service`\n"}],"isError":false,"timestamp":1776390246992}} {"type":"message","id":"6ef4af7c","parentId":"bbe796ab","timestamp":"2026-04-17T01:44:12.587Z","message":{"role":"assistant","content":[{"type":"text","text":"Hecho.\n\nArreglé:\n- `~/.config/systemd/user/personal-agent.service`\n- `/mnt/rpi/agents-database/systemd/user/agents-database-http.service`\n- `/mnt/rpi/agents-database/systemd/user/agents-database-maintenance.service`\n- `/mnt/rpi/agents-database/docs/memory-consolidation-rfc.md`\n\nTambién:\n- `systemctl --user daemon-reload`\n- reinicié `personal-agent.service`\n\nEstado ahora:\n- `personal-agent.service` corriendo bien\n- referencias activas ya apuntan a `/mnt/rpi/agents-database`\n- no veo referencias vivas restantes a `/home/sebas/agents-database` en units/templates revisados\n\nResultado negocio:\n- menos riesgo de caída futura por path viejo\n- si reinstalas units desde repo, ya no se re-rompe por este motivo\n\nSi quieres, siguiente paso útil:\n1. habilito también el maintenance service correctamente\n2. verifico si hay symlink/unit faltante para maintenance\n3. confirmo ahora si la memoria “nueva recientemente” sí quedó guardada","textSignature":"{\"v\":1,\"id\":\"msg_0fd7a590eb8baf350169e1906825a08197bec6ac472be1003d\",\"phase\":\"final_answer\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":821,"output":235,"cacheRead":59520,"cacheWrite":0,"totalTokens":60576,"cost":{"input":0.0020525,"output":0.003525,"cacheRead":0.014879999999999999,"cacheWrite":0,"total":0.0204575}},"stopReason":"stop","timestamp":1776390246994,"responseId":"resp_0fd7a590eb8baf350169e190675f308197a72fda7cf1a3b812"}}