{"type":"session","version":3,"id":"019de19c-5edf-7752-929a-a73bd4bd5ad5","timestamp":"2026-05-01T03:36:54.752Z","cwd":"/home/sebas"}
{"type":"model_change","id":"95a13f17","parentId":null,"timestamp":"2026-05-01T03:36:55.914Z","provider":"openai-codex","modelId":"gpt-5.4"}
{"type":"thinking_level_change","id":"923a3d58","parentId":"95a13f17","timestamp":"2026-05-01T03:36:55.914Z","thinkingLevel":"low"}
{"type":"message","id":"8a709ba4","parentId":"923a3d58","timestamp":"2026-05-01T03:37:18.896Z","message":{"role":"user","content":[{"type":"text","text":"memory hook for pi sessions still has an incomplete title"}],"timestamp":1777606638874}}
{"type":"message","id":"24875106","parentId":"8a709ba4","timestamp":"2026-05-01T03:37:23.547Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Inspecting the code repository**\n\nI need to check the repository, as it looks like we have to fix some code. I'll probably take a look at the memory database too. Maybe the project is related to pi-config? I'm considering if using a to-do list is necessary for this small task, but it feels like something that can be handled without one. So, I should search for any relevant information to help guide me!","thinkingSignature":"{\"id\":\"rs_0cc961c21e5dde7d0169f41ff0b51c8193870085539c14c39b\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp9B_zbLvfoWyvB4eLFsrrKywHyoYnSPffqoflTMxaMPYPbiAnjDX--Wl5TckuoCxfJzkVHAZLdwfk3ZGP8nY998AOPQAO0aBMVjzqrq72lToPN09KTpboucXbAgolqcvIWivnmKhvOjFVPtyxRO2jtybzABs1T_ru_KchkW2ptSr4PCTDsQYJWqhZKpbQGwwFXoRPgMsQrW52CXVkX-jmGQfazXGgFV2t7JAfKUHE4Mmm7XOCjd3dbOaWjMOEo2KaevBBZ7KNKHBb6lrRZ8MKmByWjiYogTwHfmFDU0Rlt926RFvoPby9bf1hw3wxe4xAbEUw9GdywC_AMj5_Pfag8L-WUnhwdj8dXwNVgLWZ-vNOpXCEOoSMS9JxRe8lvV06hPVEfZu3LdkyzC39l1OgxCnjzoU9hVdjsn17NHAiTa5KeNqy-nhc9i0vS4dF0aTQeV0XJdCD89Lr56CL6WafTByUJwUMmEwFhlnGYm6qVfyep1rXQk6xFwsswuyKVZShAFOY8kBgk_6SbDEjA-0P83JG3qOnUKqNtQ4TOCjvEFJZNUVUDLj0fTHc4nRsfULvDWT46XsvRvejaxFV9DwAwqDPOFMzCfAZqX9Upw0ShrK5HX3tf0zapUqbATkpWNE59JzEtvLjLYGJEu8cgWy4QMBOlhPdA7VHNLZ1nm44JjxIk1eB8GkvK4CHO6F089TM6tmSG122y5hyTn5pK3uDL0l2_26ZydNs5ygu0Rxx40LI8IueUMWg_Vw3A5tAg-BZds4VK1p258quq6ffr6BZNBvmuCsA8cVfZfA10zTVyVwKoXk2dyDs2YaDfEysVrXiK5mu4hTQ4gTM8xOjrk8g6FmPGXSLaLjK-2ozpkhKULcg9rI2vKa8gZwzY-JS4dHe4sum_05lSbZeGbvtDOTvt16jl6W1bGW837fyJr2In413z9xqu2lVppgQBACgokuoGNXU2Lddk3crSjQo8S0zbhy3vI4He7y19DyYwH87Wb55UW9LqlyToEdtARUHohognF0ZOmSO_IcxuX18SNWJvFm6BVxd5KuIOcrPYcjCDLGjlGnUHoeJlUfBzRBEZgh8N1zReNKFofbLPa44GUwIZJ2Yxw==\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Inspecting the code repository**\\n\\nI need to check the repository, as it looks like we have to fix some code. I'll probably take a look at the memory database too. Maybe the project is related to pi-config? I'm considering if using a to-do list is necessary for this small task, but it feels like something that can be handled without one. So, I should search for any relevant information to help guide me!\"}]}"},{"type":"toolCall","id":"call_tXAgFuybFKyZTndOAkbVEVED|fc_0cc961c21e5dde7d0169f41ff364e4819385a50bd1787e7790","name":"bash","arguments":{"command":"cd /mnt/rpi/pi-config && rg -n \"memory hook|incomplete title|title\" -S ."}},{"type":"toolCall","id":"call_Moi6ff2ShBtRyxlp18llmvBQ|fc_0cc961c21e5dde7d0169f41ff364f4819382f2704aefdf4397","name":"read","arguments":{"path":"/home/sebas/.agents/skills/memory-read/SKILL.md"}},{"type":"toolCall","id":"call_AbenDXQ9ZA9b01VUYq6N4Vsl|fc_0cc961c21e5dde7d0169f41ff364fc8193a6dbfb45489d75eb","name":"read","arguments":{"path":"/home/sebas/.agents/skills/memory-write/SKILL.md"}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":4266,"output":148,"cacheRead":0,"cacheWrite":0,"totalTokens":4414,"cost":{"input":0.010665000000000001,"output":0.00222,"cacheRead":0,"cacheWrite":0,"total":0.012885}},"stopReason":"toolUse","timestamp":1777606638897,"responseId":"resp_0cc961c21e5dde7d0169f41fef95fc8193aed3ab05c0ecdd16"}}
{"type":"message","id":"4195593a","parentId":"24875106","timestamp":"2026-05-01T03:37:23.627Z","message":{"role":"toolResult","toolCallId":"call_tXAgFuybFKyZTndOAkbVEVED|fc_0cc961c21e5dde7d0169f41ff364e4819385a50bd1787e7790","toolName":"bash","content":[{"type":"text","text":"./extensions/questionnaire.ts:400:\t\t\tlet text = theme.fg(\"toolTitle\", theme.bold(\"questionnaire \"));\n./extensions/session-memory-dispatcher.ts:97:\tasync function runPrompt(ctx: any, reason: string, options?: { allowCancel?: boolean; title?: string; timeoutMs?: number }) {\n./extensions/session-memory-dispatcher.ts:106:\t\tconst title = options?.title || \"Before closing this session\";\n./extensions/session-memory-dispatcher.ts:109:\t\tconst choice = await ctx.ui.select(title, choices, dialogOptions);\n./extensions/session-memory-dispatcher.ts:143:\t\tconst result = await runPrompt(ctx, `before_switch:${event.reason}`, { allowCancel: true, title: \"Before closing this session\" });\n./extensions/session-memory-dispatcher.ts:149:\t\tconst result = await runPrompt(ctx, \"before_fork\", { allowCancel: true, title: \"Before forking away from this session\" });\n./extensions/session-memory-dispatcher.ts:155:\t\tconst result = await runPrompt(ctx, `before_shutdown:${event.reason}`, { allowCancel: true, title: \"Guardar insights en memoria?\", timeoutMs: 12000 });\n./extensions/session-memory-dispatcher.ts:161:\t\tawait runPrompt(ctx, \"shutdown_fallback\", { allowCancel: false, title: \"Guardar insights en memoria?\", timeoutMs: 12000 });\n./extensions/session-memory-dispatcher.ts:168:\t\t\tawait runPrompt(ctx, \"manual_command\", { allowCancel: false, title: \"Queue session analysis from this session\" });\n./extensions/subagent/index.ts:732:\t\t\t\t\ttheme.fg(\"toolTitle\", theme.bold(\"subagent \")) +\n./extensions/subagent/index.ts:752:\t\t\t\t\ttheme.fg(\"toolTitle\", theme.bold(\"subagent \")) +\n./extensions/subagent/index.ts:765:\t\t\t\ttheme.fg(\"toolTitle\", theme.bold(\"subagent \")) +\n./extensions/subagent/index.ts:806:\t\t\t\t\tlet header = `${icon} ${theme.fg(\"toolTitle\", theme.bold(r.agent))}${theme.fg(\"muted\", ` (${r.agentSource})`)}`;\n./extensions/subagent/index.ts:842:\t\t\t\tlet text = `${icon} ${theme.fg(\"toolTitle\", theme.bold(r.agent))}${theme.fg(\"muted\", ` (${r.agentSource})`)}`;\n./extensions/subagent/index.ts:878:\t\t\t\t\t\t\t\ttheme.fg(\"toolTitle\", theme.bold(\"chain \")) +\n./extensions/subagent/index.ts:935:\t\t\t\t\ttheme.fg(\"toolTitle\", theme.bold(\"chain \")) +\n./extensions/subagent/index.ts:968:\t\t\t\t\t\t\t`${icon} ${theme.fg(\"toolTitle\", theme.bold(\"parallel \"))}${theme.fg(\"accent\", status)}`,\n./extensions/subagent/index.ts:1017:\t\t\t\tlet text = `${icon} ${theme.fg(\"toolTitle\", theme.bold(\"parallel \"))}${theme.fg(\"accent\", status)}`;\n./scripts/session-memory-analyzer.py:95:  \"title\": string,\n./scripts/session-memory-analyzer.py:156:                \"title\": analysis.get(\"title\") or \"Session insight\",\n"}],"isError":false,"timestamp":1777606643626}}
{"type":"message","id":"8a55871d","parentId":"4195593a","timestamp":"2026-05-01T03:37:23.628Z","message":{"role":"toolResult","toolCallId":"call_Moi6ff2ShBtRyxlp18llmvBQ|fc_0cc961c21e5dde7d0169f41ff364f4819382f2704aefdf4397","toolName":"read","content":[{"type":"text","text":"---\nname: memory-read\ndescription: Read persisted research memory, claims, and tasks\n---\n\n# personal-memory-search\n\n## Workflow\n\n1. Execute:\n   - `curl -fsSL \"${AGENTS_DB_API:-http://100.116.176.16:8091}/api/search?q=<query>&scope=global&scope=project&limit=20\"`\n2. Return matching runs, claims, and tasks from the JSON response.\n3. Prefer reuse of prior work before starting a new run.\n"}],"isError":false,"timestamp":1777606643626}}
{"type":"message","id":"662bef40","parentId":"8a55871d","timestamp":"2026-05-01T03:37:23.629Z","message":{"role":"toolResult","toolCallId":"call_AbenDXQ9ZA9b01VUYq6N4Vsl|fc_0cc961c21e5dde7d0169f41ff364fc8193a6dbfb45489d75eb","toolName":"read","content":[{"type":"text","text":"---\nname: memory-write\ndescription: Save a durable high-signal memory into agents-database\n---\n\n# memory-write\n\n## Use When\n\n- new information is likely useful beyond current chat or task\n- saving a decision, preference, project fact, reusable source/artifact, or handoff summary\n- user asks to remember something durable\n\n## Do Not Use When\n\n- content is trivial, redundant, ephemeral, or likely useless later\n- content is secret unless user explicitly asked to store it\n\n## Required Workflow\n\n1. If useful context may already exist, optionally check first:\n   - `curl -fsSL \"${AGENTS_DB_API:-http://100.116.176.16:8091}/api/search?q=<query>&scope=global&scope=project&limit=10\"`\n2. Choose best memory type:\n   - `profile`: stable user preference, priority, recurring constraint\n   - `decision`: chosen approach or operating rule\n   - `project`: durable project fact or invariant\n   - `artifact`: reusable source, claim, reference, output\n   - `episode`: concise session summary, blocked state, handoff context\n3. Build a concise payload with:\n   - required: `type`, `scope`, `title`, `content`\n   - recommended when known: `subtype`, `project_id`, `repo_id`, `task_id`, `run_id`, `source_ref`, `origin_agent`, `url`, `domain`, `metadata`\n4. Save it with the helper:\n   - `~/.agents/skills/memory-write/memory-write --type <type> --scope <scope> --title \"<title>\" --content \"<content>\"`\n5. Confirm the created memory id and what was stored.\n\n## Quick Examples\n\n```bash\n~/.agents/skills/memory-write/memory-write \\\n  --type profile \\\n  --subtype working_preference \\\n  --scope global \\\n  --title \"User prefers concise status updates\" \\\n  --content \"Sebas prefers short, direct updates with business impact first.\" \\\n  --source-ref \"conversation:2026-04-17\" \\\n  --origin-agent personal-agent\n\n~/.agents/skills/memory-write/memory-write \\\n  --type decision \\\n  --subtype operating_rule \\\n  --scope global \\\n  --title \"Agents should save durable high-signal memory opportunistically\" \\\n  --content \"Treat agents-database as shared durable memory, not only search.\" \\\n  --metadata '{\"source\":\"conversation\"}'\n```\n\n## Rules\n\n- prefer one strong memory over many weak ones\n- keep `title` short and searchable\n- keep `content` factual and compact\n- use `episode` for summaries, not for every chat turn\n- include `url` and `domain` for web-derived artifacts when known\n- include `project_id`, `repo_id`, `task_id`, and `run_id` when context exists\n"}],"isError":false,"timestamp":1777606643627}}
{"type":"message","id":"19cdbe33","parentId":"662bef40","timestamp":"2026-05-01T03:37:30.708Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Inspecting files**\n\nI need to take a closer look at the files related to session-memory-analyzer and dispatcher. It sounds like there’s something specific I need to find or understand. I wonder what I’ll discover when I dig into those files. I’ll be sure to check for any errors or irregularities that might be present. This could help clarify any ongoing issues or confirm if everything's functioning as it should!","thinkingSignature":"{\"id\":\"rs_0cc961c21e5dde7d0169f41ff6d44481938d1cfc6fdea7c717\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp9B_630AzgoR4rA26YKo2d3ZlSUnMyMkQ3Ww2F5hjNj3h9XAP4G-MrCTr8GkHuI1rO2CgWRV3O1MM1wUmUbZjkMafCV5Dhmq9s3yx3CitjM4H2viHCR8dk-AwaDYYshX0tTqlSTPF0Z_3EgJf32PPLtOql1L00TzXA4qGzu_do32pWAraKvcgw20-3dB_f6bQ7EvoCjTTg0QHVuwEYTn7bf-ixUpcDFdpN5ueZ9U8o3qtW3EiKLfbKl3vkfXI8FREPu0RnL5Lt7DSOjgcIWaPb_SUamqMAFTRk7rrsKn4rE0rZTJQ5XhjVOjdoX4BcHzv8HWjpmUA1HSJC4OBPARvRTiRM7C2MD3_wycfBH3l1l38LB1r9LpziAHmHaxBYzkfGXWmUVNyoaK69S1GWxm5qkpgIWe9LCPdtFhr4_JBXYVsGIimaNGzSROuys4x-0LKyd4NK0S_QJWC4VEgFFL7PAe8utN8r_D5Wt-1BLcYrncqnvR0uwz1X4hRf_M-SJGKRqEGrz7ft3HpNEDq5zbQXrdxDyKZVhD_4DVWVAaL9n35PyygQ5rEg3f5q3RNewzqHjZ3ee8BVq97kzbvzH_uYtxiqZtYibspGw2zqxT2oB6KbzQ09WReeJLYhzXfTINz9q29E9S5K5ebaW1MKaUf1lTIKoLxMPd20iYgcX2ysbFOlk3XO_MNRhIUwxZ1NER82GDYK3wCiBnYMm3f4yraNKmI3wAMZx3ugu-XXk94TAPpdPW9dSHXk2X_S9hOl48Czgy6sgBj9OTH3N6GZczAV0ZpBfOnWSOLFucx1x2yuV-_7UyAlIK1Lv99vFnbkE2pJhccn4UZJtr8TOMt8k8E6dJjxl_TACMOPuIf0QJZIYOxQn2Urtzw1XfmMQkNuQyE4z4I303eV2mgrAbWTrAbf7Z_4DBA7L56BBuoxvvBKDDIQFCguIC9K8yitCQDuxo9WFfZmd5SCAnfczZmwi2IrTweWl675_2aGc7z-Xc8L589HIU=\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Inspecting files**\\n\\nI need to take a closer look at the files related to session-memory-analyzer and dispatcher. It sounds like there’s something specific I need to find or understand. I wonder what I’ll discover when I dig into those files. I’ll be sure to check for any errors or irregularities that might be present. This could help clarify any ongoing issues or confirm if everything's functioning as it should!\"}]}"},{"type":"toolCall","id":"call_z4rpdSOqprgDfq1HHtxhYpdq|fc_0cc961c21e5dde7d0169f41ffa1e68819396c93817af238511","name":"read","arguments":{"path":"/mnt/rpi/pi-config/scripts/session-memory-analyzer.py","offset":1,"limit":260}},{"type":"toolCall","id":"call_w1ttkAKhDCJ5JFLrJdPFPK9V|fc_0cc961c21e5dde7d0169f41ffa1e788193a83839e3e6dac80a","name":"read","arguments":{"path":"/mnt/rpi/pi-config/extensions/session-memory-dispatcher.ts","offset":1,"limit":260}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":1711,"output":102,"cacheRead":4096,"cacheWrite":0,"totalTokens":5909,"cost":{"input":0.0042775,"output":0.0015300000000000001,"cacheRead":0.001024,"cacheWrite":0,"total":0.0068315}},"stopReason":"toolUse","timestamp":1777606643629,"responseId":"resp_0cc961c21e5dde7d0169f41ff46adc8193b2d3f2357b29cf9e"}}
{"type":"message","id":"a04b9724","parentId":"19cdbe33","timestamp":"2026-05-01T03:37:30.808Z","message":{"role":"toolResult","toolCallId":"call_z4rpdSOqprgDfq1HHtxhYpdq|fc_0cc961c21e5dde7d0169f41ffa1e68819396c93817af238511","toolName":"read","content":[{"type":"text","text":"#!/usr/bin/env python3\nfrom __future__ import annotations\n\nimport argparse\nimport json\nimport os\nimport subprocess\nimport sys\nfrom pathlib import Path\nfrom typing import Any\nfrom urllib import request\n\nAGENTS_DB_API = os.environ.get(\"AGENTS_DB_API\", \"http://100.116.176.16:8091\")\nPI_MODEL = os.environ.get(\"PI_SESSION_MEMORY_MODEL\", \"gpt-5.4-mini\")\nPI_THINKING = os.environ.get(\"PI_SESSION_MEMORY_THINKING\", \"off\")\n\n\ndef load_job(job_file: Path) -> dict[str, Any]:\n    return json.loads(job_file.read_text(encoding=\"utf-8\"))\n\n\ndef save_job(job_file: Path, payload: dict[str, Any]) -> None:\n    job_file.write_text(json.dumps(payload, indent=2, ensure_ascii=False) + \"\\n\", encoding=\"utf-8\")\n\n\ndef call_pi(prompt: str) -> str:\n    cmd = [\n        \"pi\",\n        \"-p\",\n        \"--provider\",\n        \"openai-codex\",\n        \"--model\",\n        PI_MODEL,\n        \"--thinking\",\n        PI_THINKING,\n        \"--no-tools\",\n        \"--no-session\",\n        prompt,\n    ]\n    proc = subprocess.run(cmd, capture_output=True, text=True)\n    if proc.returncode != 0:\n        raise RuntimeError(proc.stderr.strip() or proc.stdout.strip() or f\"pi failed ({proc.returncode})\")\n    return proc.stdout.strip()\n\n\ndef ingest(memory: dict[str, Any]) -> dict[str, Any]:\n    req = request.Request(\n        f\"{AGENTS_DB_API}/api/ingest\",\n        method=\"POST\",\n        data=json.dumps(memory).encode(),\n        headers={\"Content-Type\": \"application/json\"},\n    )\n    with request.urlopen(req, timeout=30) as resp:\n        return json.loads(resp.read().decode(\"utf-8\"))\n\n\ndef extract_json(text: str) -> dict[str, Any]:\n    raw = text.strip()\n    if raw.startswith(\"```\"):\n        raw = raw.strip(\"`\")\n        raw = raw.split(\"\\n\", 1)[-1] if \"\\n\" in raw else raw\n    start = raw.find(\"{\")\n    end = raw.rfind(\"}\")\n    if start >= 0 and end > start:\n        raw = raw[start : end + 1]\n    return json.loads(raw)\n\n\ndef session_meta(job: dict[str, Any]) -> dict[str, Any]:\n    payload = job.get(\"payload\")\n    if isinstance(payload, dict):\n        return payload\n    return job\n\n\ndef build_prompt(job: dict[str, Any]) -> str:\n    meta = session_meta(job)\n    return f\"\"\"You are deciding whether a Pi session has durable value.\n\nRules:\n- Prefer NOT saving anything unless it is durable and reusable.\n- Session metadata alone is not enough.\n- Do NOT save operational notes about this session-memory system, dispatch flow, or local implementation work unless they affect broader workflows beyond this repo.\n- Save only if the session contains a stable user preference, enduring project fact, reusable external artifact, decision, procedure, or blocker that will matter in future unrelated sessions.\n- If nothing durable exists, return save=false.\n- If the memory is likely durable, assign the best type and include evidence.\n- Output JSON only. No markdown. No extra text.\n\nReturn this schema:\n{{\n  \"save\": boolean,\n  \"type\": \"profile\" | \"decision\" | \"project\" | \"artifact\" | \"episode\" | \"procedural\" | \"semantic\",\n  \"subtype\": string | null,\n  \"scope\": \"global\" | \"project\",\n  \"title\": string,\n  \"content\": string,\n  \"source_ref\": string,\n  \"evidence_ref\": string | null,\n  \"confidence\": number,\n  \"freshness\": number,\n  \"importance\": number,\n  \"reason\": string\n}}\n\nScoring guidance:\n- confidence: 0 to 1, how well supported the memory is.\n- freshness: 0 to 1, how current it is.\n- importance: 0 to 1, how much future value it has.\n- evidence_ref: cite the strongest source in the session or branch excerpt when possible.\n\nSession metadata:\n- session_id: {meta.get('session_id')}\n- session_file: {meta.get('session_file')}\n- cwd: {meta.get('cwd')}\n- scope: {meta.get('scope')}\n- reason: {meta.get('reason')}\n- user_messages: {meta.get('user_messages')}\n- assistant_messages: {meta.get('assistant_messages')}\n- last_user_text: {str(meta.get('last_user_text') or '')[:2000]}\n- last_assistant_text: {str(meta.get('last_assistant_text') or '')[:2000]}\n- trigger: {meta.get('trigger')}\n\nBranch excerpt JSON:\n{json.dumps(meta.get('branch') or [], ensure_ascii=False)[:30000]}\n\"\"\"\n\n\ndef main() -> int:\n    parser = argparse.ArgumentParser()\n    parser.add_argument(\"--job-file\", required=True)\n    args = parser.parse_args()\n\n    job_file = Path(args.job_file)\n    job = load_job(job_file)\n    meta = session_meta(job)\n    job.setdefault(\"analysis\", {})\n    job[\"analysis\"][\"status\"] = \"running\"\n    save_job(job_file, job)\n\n    try:\n        raw = call_pi(build_prompt(job))\n        analysis = extract_json(raw)\n        job[\"analysis\"][\"raw\"] = raw\n        job[\"analysis\"][\"result\"] = analysis\n        job[\"analysis\"][\"status\"] = \"completed\"\n\n        if bool(analysis.get(\"save\")):\n            memory_type = analysis.get(\"type\") or \"episode\"\n            is_candidate = memory_type == \"episode\" or bool(float(analysis.get(\"importance\") or 0.5) < 0.75)\n            memory = {\n                \"type\": memory_type,\n                \"subtype\": analysis.get(\"subtype\"),\n                \"scope\": analysis.get(\"scope\") or meta.get(\"scope\") or \"global\",\n                \"status\": \"inbox\" if is_candidate else \"active\",\n                \"source_kind\": \"manual\",\n                \"title\": analysis.get(\"title\") or \"Session insight\",\n                \"content\": analysis.get(\"content\") or \"\",\n                \"confidence\": float(analysis.get(\"confidence\") or 0.75),\n                \"freshness\": float(analysis.get(\"freshness\") or 0.9),\n                \"importance\": float(analysis.get(\"importance\") or 0.5),\n                \"source_ref\": analysis.get(\"source_ref\") or f\"pi-session:{meta.get('session_file') or meta.get('session_id') or 'unknown'}\",\n                \"evidence_ref\": analysis.get(\"evidence_ref\"),\n                \"origin_agent\": \"pi-session-memory-analyzer\",\n                \"metadata\": {\n                    \"job_file\": str(job_file),\n                    \"session_id\": meta.get(\"session_id\"),\n                    \"session_file\": meta.get(\"session_file\"),\n                    \"cwd\": meta.get(\"cwd\"),\n                    \"reason\": meta.get(\"reason\"),\n                    \"user_messages\": meta.get(\"user_messages\"),\n                    \"assistant_messages\": meta.get(\"assistant_messages\"),\n                    \"analysis_reason\": analysis.get(\"reason\"),\n                    \"trigger\": meta.get(\"trigger\"),\n                    \"promotion_candidate\": not is_candidate,\n                },\n            }\n            saved = ingest(memory)\n            job[\"analysis\"][\"memory_id\"] = saved.get(\"id\")\n            job[\"analysis\"][\"saved\"] = True\n        else:\n            job[\"analysis\"][\"saved\"] = False\n            job[\"analysis\"][\"memory_id\"] = None\n\n        save_job(job_file, job)\n        print(json.dumps(job[\"analysis\"], ensure_ascii=False))\n        return 0\n    except Exception as exc:\n        job[\"analysis\"][\"status\"] = \"failed\"\n        job[\"analysis\"][\"error\"] = str(exc)\n        save_job(job_file, job)\n        print(json.dumps(job[\"analysis\"], ensure_ascii=False), file=sys.stderr)\n        return 1\n\n\nif __name__ == \"__main__\":\n    raise SystemExit(main())\n"}],"isError":false,"timestamp":1777606650807}}
{"type":"message","id":"88b01ee3","parentId":"a04b9724","timestamp":"2026-05-01T03:37:30.809Z","message":{"role":"toolResult","toolCallId":"call_w1ttkAKhDCJ5JFLrJdPFPK9V|fc_0cc961c21e5dde7d0169f41ffa1e788193a83839e3e6dac80a","toolName":"read","content":[{"type":"text","text":"import path from \"node:path\";\nimport type { ExtensionAPI } from \"@mariozechner/pi-coding-agent\";\n\nconst DISPATCH_URL = process.env.PI_SESSION_MEMORY_DISPATCH_URL || \"http://127.0.0.1:17882/api/session-memory\";\nconst PROMPT_SAVE = \"Yes\";\nconst PROMPT_SKIP = \"No\";\nconst PROMPT_CANCEL = \"Cancel\";\n\nfunction textFromMessage(message: any): string {\n\tif (!message || !Array.isArray(message.content)) return \"\";\n\treturn message.content\n\t\t.filter((part: any) => part?.type === \"text\" && typeof part.text === \"string\")\n\t\t.map((part: any) => part.text)\n\t\t.join(\"\\n\")\n\t\t.trim();\n}\n\nfunction truncate(text: string | undefined, max = 220): string {\n\tconst value = (text || \"\").replace(/\\s+/g, \" \").trim();\n\tif (!value) return \"\";\n\treturn value.length > max ? value.slice(0, max - 1) + \"…\" : value;\n}\n\nfunction inferScope(cwd: string): \"global\" | \"project\" {\n\tconst home = path.resolve(process.env.HOME || \"/home/sebas\");\n\tconst resolved = path.resolve(cwd);\n\tif (resolved === home) return \"global\";\n\tif (resolved.startsWith(path.join(home, \".pi\"))) return \"global\";\n\treturn \"project\";\n}\n\nfunction getSessionStats(ctx: any) {\n\tconst branch = ctx.sessionManager.getBranch();\n\tlet userCount = 0;\n\tlet assistantCount = 0;\n\tlet lastUserText = \"\";\n\tlet lastAssistantText = \"\";\n\n\tfor (const entry of branch) {\n\t\tif (entry?.type !== \"message\") continue;\n\t\tconst message = entry.message;\n\t\tif (!message || typeof message !== \"object\" || !(\"role\" in message)) continue;\n\t\tif (message.role === \"user\") {\n\t\t\tuserCount += 1;\n\t\t\tlastUserText = textFromMessage(message) || lastUserText;\n\t\t}\n\t\tif (message.role === \"assistant\") {\n\t\t\tassistantCount += 1;\n\t\t\tlastAssistantText = textFromMessage(message) || lastAssistantText;\n\t\t}\n\t}\n\n\treturn {\n\t\tbranch,\n\t\tuserCount,\n\t\tassistantCount,\n\t\tlastUserText,\n\t\tlastAssistantText,\n\t\tshouldPrompt: userCount > 0 && assistantCount > 0,\n\t};\n}\n\nfunction buildHookPayload(ctx: any, stats: ReturnType<typeof getSessionStats>, reason: string) {\n\treturn {\n\t\tsession_id: ctx.sessionManager.getLeafId?.() || null,\n\t\tsession_file: ctx.sessionManager.getSessionFile?.() || null,\n\t\treason,\n\t\tcwd: ctx.cwd,\n\t\tscope: inferScope(ctx.cwd),\n\t\tuser_messages: stats.userCount,\n\t\tassistant_messages: stats.assistantCount,\n\t\tlast_user_text: truncate(stats.lastUserText, 2000),\n\t\tlast_assistant_text: truncate(stats.lastAssistantText, 2000),\n\t\tbranch: stats.branch,\n\t\tmemory_hints: {\n\t\t\tobserved_messages: stats.userCount + stats.assistantCount,\n\t\t\thas_latest_dialogue: Boolean(stats.lastUserText || stats.lastAssistantText),\n\t\t},\n\t};\n}\n\nasync function dispatchMemory(payload: any) {\n\tconst response = await fetch(DISPATCH_URL, {\n\t\tmethod: \"POST\",\n\t\theaders: { \"Content-Type\": \"application/json\" },\n\t\tbody: JSON.stringify(payload),\n\t});\n\tif (!response.ok) {\n\t\tthrow new Error(`session memory dispatcher failed: ${response.status} ${response.statusText}`);\n\t}\n\treturn response.json();\n}\n\nexport default function (pi: ExtensionAPI) {\n\tlet promptHandledForCurrentSession = false;\n\n\tasync function runPrompt(ctx: any, reason: string, options?: { allowCancel?: boolean; title?: string; timeoutMs?: number }) {\n\t\tif (promptHandledForCurrentSession) return { cancel: false, skipped: true };\n\t\tif (!ctx.hasUI) return { cancel: false, skipped: true };\n\n\t\tconst stats = getSessionStats(ctx);\n\t\tif (!stats.shouldPrompt) return { cancel: false, skipped: true };\n\n\t\tconst allowCancel = options?.allowCancel ?? false;\n\t\tconst timeoutMs = options?.timeoutMs;\n\t\tconst title = options?.title || \"Before closing this session\";\n\t\tconst choices = allowCancel ? [PROMPT_SAVE, PROMPT_SKIP, PROMPT_CANCEL] : [PROMPT_SAVE, PROMPT_SKIP];\n\t\tconst dialogOptions = timeoutMs ? { timeout: timeoutMs } : undefined;\n\t\tconst choice = await ctx.ui.select(title, choices, dialogOptions);\n\n\t\tif (choice === PROMPT_CANCEL || (allowCancel && choice === undefined)) {\n\t\t\tpromptHandledForCurrentSession = false;\n\t\t\treturn { cancel: true, skipped: false };\n\t\t}\n\n\t\tif (choice !== PROMPT_SAVE) {\n\t\t\tpromptHandledForCurrentSession = true;\n\t\t\treturn { cancel: false, skipped: true };\n\t\t}\n\n\t\tconst payload = buildHookPayload(ctx, stats, reason);\n\t\ttry {\n\t\t\tconst result = await dispatchMemory({\n\t\t\t\t...payload,\n\t\t\t\ttrigger: \"session-memory-dispatcher\",\n\t\t\t});\n\t\t\tpromptHandledForCurrentSession = true;\n\t\t\tctx.ui.notify(`Session analysis queued${result?.job_file ? `: ${result.job_file}` : \"\"}`, \"info\");\n\t\t\treturn { cancel: false, skipped: false, queued: true, jobFile: result?.job_file || null };\n\t\t} catch (error) {\n\t\t\tpromptHandledForCurrentSession = false;\n\t\t\tconst message = error instanceof Error ? error.message : String(error);\n\t\t\tctx.ui.notify(message, \"error\");\n\t\t\tif (!allowCancel) return { cancel: false, skipped: true, error: message };\n\t\t\tconst ok = await ctx.ui.confirm(\"Session analysis failed\", \"Continue closing this session without queueing?\", dialogOptions);\n\t\t\tif (!ok) return { cancel: true, skipped: false, error: message };\n\t\t\tpromptHandledForCurrentSession = true;\n\t\t\treturn { cancel: false, skipped: true, error: message };\n\t\t}\n\t}\n\n\tpi.on(\"session_before_switch\", async (event, ctx) => {\n\t\tconst result = await runPrompt(ctx, `before_switch:${event.reason}`, { allowCancel: true, title: \"Before closing this session\" });\n\t\tif (result.cancel) return { cancel: true };\n\t\treturn undefined;\n\t});\n\n\tpi.on(\"session_before_fork\", async (_event, ctx) => {\n\t\tconst result = await runPrompt(ctx, \"before_fork\", { allowCancel: true, title: \"Before forking away from this session\" });\n\t\tif (result.cancel) return { cancel: true };\n\t\treturn undefined;\n\t});\n\n\tpi.on(\"session_before_shutdown\", async (event, ctx) => {\n\t\tconst result = await runPrompt(ctx, `before_shutdown:${event.reason}`, { allowCancel: true, title: \"Guardar insights en memoria?\", timeoutMs: 12000 });\n\t\tif (result.cancel) return { cancel: true };\n\t\treturn undefined;\n\t});\n\n\tpi.on(\"session_shutdown\", async (_event, ctx) => {\n\t\tawait runPrompt(ctx, \"shutdown_fallback\", { allowCancel: false, title: \"Guardar insights en memoria?\", timeoutMs: 12000 });\n\t});\n\n\tpi.registerCommand(\"remember-session\", {\n\t\tdescription: \"Queue a session analysis from the current session\",\n\t\thandler: async (_args, ctx) => {\n\t\t\tpromptHandledForCurrentSession = false;\n\t\t\tawait runPrompt(ctx, \"manual_command\", { allowCancel: false, title: \"Queue session analysis from this session\" });\n\t\t},\n\t});\n}\n"}],"isError":false,"timestamp":1777606650808}}
{"type":"message","id":"fb63fc72","parentId":"88b01ee3","timestamp":"2026-05-01T03:37:35.033Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Investigating title issues**\n\nI’m noticing an issue with an incomplete title, which might mean the analyzer is accepting an empty or truncated title. I should probably check the dispatcher service to see if the title is being pulled from the UI correctly. It’s also a good idea to review the search session memory to gather more context. I want to ensure I sort this out thoroughly to avoid any further complications!","thinkingSignature":"{\"id\":\"rs_0cc961c21e5dde7d0169f41ffc6e8481938f6f4d7493f7b20e\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp9B_-qPz5q9JeKuO87Cq0l0omQtaoA7FEM0rZaiil1yj7on2C4WduCdxud4quVBWrHh5JWRhaycYBdih7lCF120UpyDcRizg5u96l9aKkAK31wVYSE0SVAOmK2AZpaurqS179Bed727DVBlRC46TuWVSvxQRDI6U7lt1VJwWCncg7XVWxWxam4w34aja2jJ3RRJFhLBEgp5wAMSQFrCOGek8klbBRB3JjIxeyh2bso383RhN38zUIoYYJAtTsBRgF1dpbNm0sjQY1c6GCJjwtYKEQURDRX8NhdiP3a_5h5Cv_vC5POjPhbNR6l3cTUXzKlm_YsP7Fw5gxCVEtKTkQZqN29Zo3Ew13Ydf8OEHqEnjZsA7-uC_g33irNHRnMAL9wfK82GIPNCB-f1P7rVux2ILl65rkaW86fWZPqeFkVGa5n3iKaZMtdWAqPUK4QYYbOQC5qOUAZGbchuD9Q8xV8B_W9hEH2dEQ1Bf-NTv7vsBTB2PfJxRMnU50ASThuwoBTFJZJv0zfxkDN3uFlbxyU1Ai3XfVaOX9Hrqmh5-de7Pzs7KHxvBrTsahd18f-Osg2qoz_WfoU7gP0c1IEAa-Uj-HAGMuX9Nq-qt3Eco75gpYcPYsZ9BKKq7S-Fj4yMSlnsyBG21FpWxbVxiVnd3iXtTioaUa-rYL-mB31Ji-HxMOgzB0J0sUGKFXxruzEfh4bUgeba5LnmjQOxkpLvfbiPBOeh1545kNUM5AurWZhnkbEdLw0XKJqsEVcSZjR2rVfAaVo8Aj1eHKblMYdtLHxWbY7yzbOLPboKlxXnoyxtn1JpSusqaK1MQey4hMuOCNG3yMhld3-zIH7NMTEtti1AxbLfnf7_EyTbjAAAFCEyRRkxRzGxI7DoijafFLNN9_eHJ-mLxYTj7Bl_ZLy-aOjcPMstgUbYynmqj0qW6MR9oovZYG_84XYsc-VJS4OmVCxDVB1Gn9y84xWWo4m6gcJy-nTSf94fKiEsg7x0vR0gQX0zHGg33Ij1xw8YwdDa4huEq3DSFsxiay4uSNX6NLUWmGUQosQBibY6bZwhRyPiXRdLffgRIc0DAr7jMmzcI8fuMI12B79ugcEYPJcVt8_GecOomNIN6AJ_bXcEVVRckCazk=\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Investigating title issues**\\n\\nI’m noticing an issue with an incomplete title, which might mean the analyzer is accepting an empty or truncated title. I should probably check the dispatcher service to see if the title is being pulled from the UI correctly. It’s also a good idea to review the search session memory to gather more context. I want to ensure I sort this out thoroughly to avoid any further complications!\"}]}"},{"type":"toolCall","id":"call_OUquGCguJxAQNmlZlVlZrPam|fc_0cc961c21e5dde7d0169f41ffeba1c8193a1271d55910de73f","name":"bash","arguments":{"command":"cd /mnt/rpi/pi-config && rg -n \"session-memory|analysis.get\\(\\\"title\\\"|Session insight|title\\\"\" extensions scripts -S"}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":3563,"output":83,"cacheRead":5632,"cacheWrite":0,"totalTokens":9278,"cost":{"input":0.0089075,"output":0.001245,"cacheRead":0.001408,"cacheWrite":0,"total":0.0115605}},"stopReason":"toolUse","timestamp":1777606650811,"responseId":"resp_0cc961c21e5dde7d0169f41ffb228c81938b9cfd83d8cdbdbd"}}
{"type":"message","id":"bb1d0492","parentId":"fb63fc72","timestamp":"2026-05-01T03:37:35.044Z","message":{"role":"toolResult","toolCallId":"call_OUquGCguJxAQNmlZlVlZrPam|fc_0cc961c21e5dde7d0169f41ffeba1c8193a1271d55910de73f","toolName":"bash","content":[{"type":"text","text":"extensions/session-memory-dispatcher.ts:4:const DISPATCH_URL = process.env.PI_SESSION_MEMORY_DISPATCH_URL || \"http://127.0.0.1:17882/api/session-memory\";\nextensions/session-memory-dispatcher.ts:125:\t\t\t\ttrigger: \"session-memory-dispatcher\",\nscripts/session-memory-analyzer.py:83:- Do NOT save operational notes about this session-memory system, dispatch flow, or local implementation work unless they affect broader workflows beyond this repo.\nscripts/session-memory-analyzer.py:95:  \"title\": string,\nscripts/session-memory-analyzer.py:156:                \"title\": analysis.get(\"title\") or \"Session insight\",\nscripts/session-memory-analyzer.py:163:                \"origin_agent\": \"pi-session-memory-analyzer\",\nscripts/session-memory-dispatcher.py:13:JOB_DIR = Path(os.environ.get(\"PI_SESSION_MEMORY_JOB_DIR\", BASE_DIR / \"sessions\" / \"session-memory-jobs\"))\nscripts/session-memory-dispatcher.py:14:ANALYZER = Path(os.environ.get(\"PI_SESSION_MEMORY_ANALYZER\", BASE_DIR / \"scripts\" / \"session-memory-analyzer.py\"))\nscripts/session-memory-dispatcher.py:49:        if self.path != \"/api/session-memory\":\nscripts/session-memory-dispatcher.py:89:    print(f\"session-memory-dispatcher listening on http://{args.host}:{args.port}/api/session-memory\", flush=True)\nscripts/install-session-memory-dispatcher.service:8:ExecStart=/usr/bin/env python3 /mnt/rpi/pi-config/scripts/session-memory-dispatcher.py --host 127.0.0.1 --port 17882\n"}],"isError":false,"timestamp":1777606655044}}
{"type":"message","id":"66d7875c","parentId":"bb1d0492","timestamp":"2026-05-01T03:37:41.194Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Fixing title issues**\n\nI need to inspect and possibly sanitize the title since it might be showing a known bug about incomplete titles in saved memories. It seems I should enhance the prompt to enforce complete sentence titles and perform validation. I suspect the title from the LLM got truncated, leading to the phrase “Fix session memory hook for pi sessions still has an incomplete.” I’ll look into adding repair logic to prevent trailing connectives from the content, and maybe update the analyzer with a normalize_title function and some prompt guidance.","thinkingSignature":"{\"id\":\"rs_0cc961c21e5dde7d0169f4200083f88193838b655f6633f97f\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp9CAEjRcdIDp2pJNQwSK6zWH3Dd-LXIqRrexq1ykYK_2n-T2oeHVtsEtxF955u4C1liHj1pdl4bd6ZowlT1xKphCjAox6ZLjgzOMV0MnP0fofYoAlcESFUCQ0J-V7wTIgCN-OjqlKPbX6mYC9R8aaesdbT-YMkW9c5H3aqFxuxvvv47yTv_jVgSlmkz_5-pdCu0iG3CSYFIbuf-Cds1SsqkG2kHfG8U5qmxlJsIJs-fU8oFpKB-hQgRX60fp7R7iQsAgNBlaUOxKhaqPKuxyCuoEcd32eS_BIxlSserTTjOWfa4gCPWV2lpbWKH4Yqm-WJK_7X38ZMW4EpYit8cX4pMOub8mU53Pahuxm8rs4pKI6SvceTnU7CwRiBdN2VnCfqv6Cd4nRQL1xN--wO_rmHlwn27-jd8fWEUz4xXTbchF_UT8oCYLOGaP3815pBrCOhF3mlVwQsX8DTNHUrR_7Iw2ZjhUar9_uDc0kPbPuk66k3fgG1g-uOCLbNJPN0rEFnxn9c7Bodl4PJv4B0PKvEPg43x3JKl_z0afMo3A31fxOc66pN2Uxp5vUe_1umWOp7kyPnpbWgvIwPF9b2GBj3RGfxH6FMSHQNpeRGo-hI23KBAUj5fRkOhVbYRV_K05Lbb7S-osJK-rgO6J05EGdkkBAZT6V5ZWQAY-eZ8O-DSb_RG_TqqtZYfnIpKr45Sm8ZSm3It0b3R8RVjs17SEAlaAf7RsPCR-mKMjHJdeYRUXx2uo0lARHSd1v8apuAN1eLxe2ktjMWz2dgWKy48ILGyqdD30e7qngJEVtVs8BzUiGHyXbO4BzEC24Dw3wOLOt6dCtUXF_DJ-17K6Hu7UMS565r85JpIJ_Kqd2kGKM9hEZ57r5w46FQVPD-8talLvS35ZWksdoPDnnWT3dxbqWSRMyDkN19gZHPQ--2fsByNlknnLJ-jgLv1e6EegxuZKBv99DTg5JRPmicS01Q9juUGqecHXprumC6Egfn11sr2iiYm4PXYmWcxQWS-H4jBIEEZIcPZbeE-wmrxTV7XaCnH3vHz6U6PKWXnI6hqVHMp1iB9esxXful_qfCagAfZbxRXb9KCtXuBAWaYCSP0Ro6xNJdjPun9bzzmjvxzKvTfyIAEDcJDP5wKbGjOau540wJrNfQYSkcynyphka7tlxTTs5tR-tTKRYdTKKKU8yGIzyAznOiZLS9Pv5nieSxnAD_XzEeDmPxrV4D-1rF8Uapc_5naRp2tw8EK5xpObTi6xw_stx4uS6vJRNng8XMeXuivDLVaCZKKkYCNzIRbEO7bM5oF4Q37ywvVk0cM2wZU9sN3lGQ92d7qnrEKrPujmcYq-Cn6jz_pnj7D1r-VzncU9xpiVuJAaN-3vNZq8aJ2VFA_0ncoDba-ca_g2bs6VjMZQE_opELVtytYZ0MiF-e_1wrF7r60uPVMZx8InHl3Awu6wuYRGAQk6_Op6puvq1Z-ZUDt0mS-exPWhBfHFxJd8-hkBPWe9UBuJzAojm8tZAuqGnYcjTke_du_ymbMU_VLRd9AdjnXuQS9Z-qL24bnB7CKxqQdDzJ_pnR6KWrq_h7Ga0hT809jSkzGY7iMKAavjKxvvC1f473oSGHMfxp7Fj-9udsPq8H7qevT0SMJvnWHQ=\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Fixing title issues**\\n\\nI need to inspect and possibly sanitize the title since it might be showing a known bug about incomplete titles in saved memories. It seems I should enhance the prompt to enforce complete sentence titles and perform validation. I suspect the title from the LLM got truncated, leading to the phrase “Fix session memory hook for pi sessions still has an incomplete.” I’ll look into adding repair logic to prevent trailing connectives from the content, and maybe update the analyzer with a normalize_title function and some prompt guidance.\"}]}"},{"type":"toolCall","id":"call_NHioxv4CK3Bfhs8mSahj8gD5|fc_0cc961c21e5dde7d0169f42004ecc4819381cd568cfbe65fad","name":"read","arguments":{"path":"/mnt/rpi/pi-config/scripts/session-memory-dispatcher.py","offset":1,"limit":220}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":924,"output":142,"cacheRead":8704,"cacheWrite":0,"totalTokens":9770,"cost":{"input":0.00231,"output":0.00213,"cacheRead":0.002176,"cacheWrite":0,"total":0.0066159999999999995}},"stopReason":"toolUse","timestamp":1777606655046,"responseId":"resp_0cc961c21e5dde7d0169f41fff60948193b0f6183d7a97f44f"}}
{"type":"message","id":"2cc2959e","parentId":"66d7875c","timestamp":"2026-05-01T03:37:41.212Z","message":{"role":"toolResult","toolCallId":"call_NHioxv4CK3Bfhs8mSahj8gD5|fc_0cc961c21e5dde7d0169f42004ecc4819381cd568cfbe65fad","toolName":"read","content":[{"type":"text","text":"#!/usr/bin/env python3\nfrom __future__ import annotations\n\nimport argparse\nimport json\nimport os\nimport subprocess\nfrom datetime import datetime, timezone\nfrom http.server import BaseHTTPRequestHandler, ThreadingHTTPServer\nfrom pathlib import Path\n\nBASE_DIR = Path(__file__).resolve().parent.parent\nJOB_DIR = Path(os.environ.get(\"PI_SESSION_MEMORY_JOB_DIR\", BASE_DIR / \"sessions\" / \"session-memory-jobs\"))\nANALYZER = Path(os.environ.get(\"PI_SESSION_MEMORY_ANALYZER\", BASE_DIR / \"scripts\" / \"session-memory-analyzer.py\"))\n\n\ndef write_job(payload: dict[str, object]) -> Path:\n    JOB_DIR.mkdir(parents=True, exist_ok=True)\n    job_id = datetime.now(timezone.utc).strftime(\"%Y%m%dT%H%M%S%fZ\")\n    job_file = JOB_DIR / f\"{job_id}.json\"\n    job = {\n        \"job_id\": job_id,\n        \"queued_at\": datetime.now(timezone.utc).isoformat(),\n        \"status\": \"queued\",\n        \"job_type\": \"session_memory_analysis\",\n        \"payload\": payload,\n        \"analysis\": {\n            \"status\": \"queued\",\n            \"save\": None,\n            \"memory_id\": None,\n        },\n    }\n    job_file.write_text(json.dumps(job, indent=2, ensure_ascii=False) + \"\\n\", encoding=\"utf-8\")\n    return job_file\n\n\ndef launch_analyzer(job_file: Path) -> None:\n    subprocess.Popen(\n        [\"python3\", str(ANALYZER), \"--job-file\", str(job_file)],\n        stdout=subprocess.DEVNULL,\n        stderr=subprocess.DEVNULL,\n        start_new_session=True,\n        close_fds=True,\n    )\n\n\nclass Handler(BaseHTTPRequestHandler):\n    def do_POST(self):\n        if self.path != \"/api/session-memory\":\n            self.send_response(404)\n            self.end_headers()\n            return\n\n        length = int(self.headers.get(\"Content-Length\", \"0\") or \"0\")\n        raw = self.rfile.read(length)\n        try:\n            payload = json.loads(raw.decode(\"utf-8\"))\n        except Exception as exc:\n            self.send_response(400)\n            self.send_header(\"Content-Type\", \"application/json\")\n            self.end_headers()\n            self.wfile.write(json.dumps({\"error\": f\"invalid json: {exc}\"}).encode())\n            return\n\n        try:\n            job_file = write_job(payload)\n            launch_analyzer(job_file)\n            self.send_response(202)\n            self.send_header(\"Content-Type\", \"application/json\")\n            self.end_headers()\n            self.wfile.write(json.dumps({\"status\": \"queued\", \"job_file\": str(job_file)}).encode())\n        except Exception as exc:\n            self.send_response(502)\n            self.send_header(\"Content-Type\", \"application/json\")\n            self.end_headers()\n            self.wfile.write(json.dumps({\"error\": str(exc)}).encode())\n\n    def log_message(self, fmt, *args):\n        return\n\n\ndef main() -> int:\n    parser = argparse.ArgumentParser()\n    parser.add_argument(\"--host\", default=\"127.0.0.1\")\n    parser.add_argument(\"--port\", type=int, default=17882)\n    args = parser.parse_args()\n\n    server = ThreadingHTTPServer((args.host, args.port), Handler)\n    print(f\"session-memory-dispatcher listening on http://{args.host}:{args.port}/api/session-memory\", flush=True)\n    try:\n        server.serve_forever()\n    except KeyboardInterrupt:\n        return 0\n    return 0\n\n\nif __name__ == \"__main__\":\n    raise SystemExit(main())\n"}],"isError":false,"timestamp":1777606661211}}
{"type":"message","id":"5daa0a9d","parentId":"2cc2959e","timestamp":"2026-05-01T03:37:59.188Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Checking git status**\n\nI need to check the git status to see if there are any changes I should be aware of. I'll also want to look at the current branch and make sure everything's in order. It makes sense to patch the analyzer after I confirm the status to ensure I’m working with the latest information. Keeping everything updated is crucial for smooth progress! Let’s get started on that.","thinkingSignature":"{\"id\":\"rs_0cc961c21e5dde7d0169f42006fd80819397b3c8228b9b57c2\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp9CAJlYSxLmvZBSY1MqkhvaNCYGzlYA44fEgoYsZ-4SqOjd4TBuN_7fxJwCpcf70KlGaWZ1dWjfwRSnGfxDdu9M_pY2-aUOPvn2HLpJnTGszh8LvjaOcG51wUktBFxZ8y67JU9TaGK2quCQot8jcHJu8ZexcSzDtSu7VAOW0Xvl9ipVj3lgaG0NVAbciG1SYMGgjruRaYTgt1QgjWBvF1G_O1DpdMHHPCj92ngEt1l4r5Qn7G9XeA3ozlI8nn2NeT5bA48q8LLI037i6HzwktTlUbEbx8QHLKpSX27PmFCXHXnYiJIwfwQsY8-BwYY_7hqZL5rsOsdUZPrVpFoQjIF5ylrzleAiDMUDIk6HMuDOq3yQ5q-MBppMNwphFaccHwL0tI7-eRvK3sh94WdpZBjNDGSFoOnfvyZSiQ_U1xzRf43361LKtjnuTF3L_6NO_wuRoR97tX05BpTvMbflW6Z7rMl_b0YscvaTX2QzFwdwTc3S7wkoBYVmxIkpkb9VxC0nCYYW4HlKTjpVeMDYCi92_OjGVC84DasAL5HN9b7ODh70jmZLPmPjyw9O4U4OSv0cmAWB4UrkviiIb2oO8q63vjhCoPBxiI5sHCMWcI1fvIHbelksX1MbWhUXcas2oiNBRgSE8cYfyMUm240_x9yA2S_qfwZGx1iv7yaVA-GsTbp4ntLxfDbkrK5zDBRrpBgFs6RpLGaUv_4n-k24AhoY7zIqHDUhWxVQsGPziNoccgCjoN3LP3RzIMFU-_P_i10VoPvmkeA4eRcSLWzHGL_DtKd-7vSzge-u08PyXSTNxyGHyodWXKZmbAwXaU5VjEIhpuSfi_5Kzn72_KBsjQvTDshUFgI9UsH3vb9itKo39hlcsd4JYlLYYOy4TFtI_eeohUzqAITbxakF6du59xs84MQLUHL-cwcKy1jFtCWTjycoWzqn1ZfoKRUpIs-QIk7Kh3jlXPpnOcL3mjJuo4EZcMqdRjPHlSgROT0UuSEnhszmI=\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Checking git status**\\n\\nI need to check the git status to see if there are any changes I should be aware of. I'll also want to look at the current branch and make sure everything's in order. It makes sense to patch the analyzer after I confirm the status to ensure I’m working with the latest information. Keeping everything updated is crucial for smooth progress! Let’s get started on that.\"}]}"},{"type":"toolCall","id":"call_5C3te4wAIUwgpkyVaB8yE3xx|fc_0cc961c21e5dde7d0169f42009eba08193bca0616421a9b3ea","name":"edit","arguments":{"path":"/mnt/rpi/pi-config/scripts/session-memory-analyzer.py","edits":[{"oldText":"from pathlib import Path\nfrom typing import Any\nfrom urllib import request\n","newText":"from pathlib import Path\nfrom typing import Any\nfrom urllib import request\nimport re\n"},{"oldText":"def session_meta(job: dict[str, Any]) -> dict[str, Any]:\n    payload = job.get(\"payload\")\n    if isinstance(payload, dict):\n        return payload\n    return job\n\n\ndef build_prompt(job: dict[str, Any]) -> str:\n","newText":"def session_meta(job: dict[str, Any]) -> dict[str, Any]:\n    payload = job.get(\"payload\")\n    if isinstance(payload, dict):\n        return payload\n    return job\n\n\ndef normalize_title(title: Any, content: Any, fallback: str = \"Session insight\") -> str:\n    value = re.sub(r\"\\s+\", \" \", str(title or \"\")).strip(\" -:\\n\\t\")\n    content_text = re.sub(r\"\\s+\", \" \", str(content or \"\")).strip()\n\n    bad_endings = {\n        \"a\",\n        \"an\",\n        \"and\",\n        \"as\",\n        \"at\",\n        \"by\",\n        \"de\",\n        \"del\",\n        \"el\",\n        \"en\",\n        \"for\",\n        \"from\",\n        \"has\",\n        \"in\",\n        \"into\",\n        \"la\",\n        \"las\",\n        \"los\",\n        \"of\",\n        \"on\",\n        \"or\",\n        \"para\",\n        \"por\",\n        \"still\",\n        \"the\",\n        \"to\",\n        \"with\",\n        \"without\",\n        \"y\",\n    }\n\n    def looks_incomplete(text: str) -> bool:\n        if not text:\n            return True\n        words = text.split()\n        if len(words) < 3:\n            return True\n        if words[-1].lower() in bad_endings:\n            return True\n        if text.endswith((\"/\", \"(\", \"[\", \"{\", \"-\", \":\")):\n            return True\n        if text.count(\"(\") > text.count(\")\"):\n            return True\n        if text.count(\"[\") > text.count(\"]\"):\n            return True\n        return False\n\n    if not looks_incomplete(value):\n        return value[:140]\n\n    if content_text:\n        sentence = re.split(r\"(?<=[.!?])\\s+|\\n+\", content_text, maxsplit=1)[0].strip(\" -:\\n\\t\")\n        sentence = re.sub(r\"\\s+\", \" \", sentence)\n        if sentence and not looks_incomplete(sentence):\n            return sentence[:140]\n        if sentence:\n            words = sentence.split()\n            if len(words) >= 3:\n                return \" \".join(words[: min(len(words), 12)])[:140]\n\n    return fallback\n\n\ndef build_prompt(job: dict[str, Any]) -> str:\n"},{"oldText":"- If the memory is likely durable, assign the best type and include evidence.\n- Output JSON only. No markdown. No extra text.\n","newText":"- If the memory is likely durable, assign the best type and include evidence.\n- Title must be a complete, standalone phrase. Never end it with a dangling connector, article, preposition, or unfinished clause.\n- Output JSON only. No markdown. No extra text.\n"},{"oldText":"                \"title\": analysis.get(\"title\") or \"Session insight\",\n","newText":"                \"title\": normalize_title(analysis.get(\"title\"), analysis.get(\"content\")),\n"}]}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":1319,"output":881,"cacheRead":9216,"cacheWrite":0,"totalTokens":11416,"cost":{"input":0.0032975,"output":0.013215000000000001,"cacheRead":0.002304,"cacheWrite":0,"total":0.0188165}},"stopReason":"toolUse","timestamp":1777606661215,"responseId":"resp_0cc961c21e5dde7d0169f4200582f081939d20ea2c0212bf96"}}
{"type":"message","id":"aa58eed9","parentId":"5daa0a9d","timestamp":"2026-05-01T03:37:59.309Z","message":{"role":"toolResult","toolCallId":"call_5C3te4wAIUwgpkyVaB8yE3xx|fc_0cc961c21e5dde7d0169f42009eba08193bca0616421a9b3ea","toolName":"edit","content":[{"type":"text","text":"Successfully replaced 4 block(s) in /mnt/rpi/pi-config/scripts/session-memory-analyzer.py."}],"details":{"diff":"     ...\n   8 import sys\n   9 from pathlib import Path\n  10 from typing import Any\n  11 from urllib import request\n+ 12 import re\n  12 \n  13 AGENTS_DB_API = os.environ.get(\"AGENTS_DB_API\", \"http://100.116.176.16:8091\")\n  14 PI_MODEL = os.environ.get(\"PI_SESSION_MEMORY_MODEL\", \"gpt-5.4-mini\")\n  15 PI_THINKING = os.environ.get(\"PI_SESSION_MEMORY_THINKING\", \"off\")\n     ...\n  72         return payload\n  73     return job\n  74 \n  75 \n+ 77 def normalize_title(title: Any, content: Any, fallback: str = \"Session insight\") -> str:\n+ 78     value = re.sub(r\"\\s+\", \" \", str(title or \"\")).strip(\" -:\\n\\t\")\n+ 79     content_text = re.sub(r\"\\s+\", \" \", str(content or \"\")).strip()\n+ 80 \n+ 81     bad_endings = {\n+ 82         \"a\",\n+ 83         \"an\",\n+ 84         \"and\",\n+ 85         \"as\",\n+ 86         \"at\",\n+ 87         \"by\",\n+ 88         \"de\",\n+ 89         \"del\",\n+ 90         \"el\",\n+ 91         \"en\",\n+ 92         \"for\",\n+ 93         \"from\",\n+ 94         \"has\",\n+ 95         \"in\",\n+ 96         \"into\",\n+ 97         \"la\",\n+ 98         \"las\",\n+ 99         \"los\",\n+100         \"of\",\n+101         \"on\",\n+102         \"or\",\n+103         \"para\",\n+104         \"por\",\n+105         \"still\",\n+106         \"the\",\n+107         \"to\",\n+108         \"with\",\n+109         \"without\",\n+110         \"y\",\n+111     }\n+112 \n+113     def looks_incomplete(text: str) -> bool:\n+114         if not text:\n+115             return True\n+116         words = text.split()\n+117         if len(words) < 3:\n+118             return True\n+119         if words[-1].lower() in bad_endings:\n+120             return True\n+121         if text.endswith((\"/\", \"(\", \"[\", \"{\", \"-\", \":\")):\n+122             return True\n+123         if text.count(\"(\") > text.count(\")\"):\n+124             return True\n+125         if text.count(\"[\") > text.count(\"]\"):\n+126             return True\n+127         return False\n+128 \n+129     if not looks_incomplete(value):\n+130         return value[:140]\n+131 \n+132     if content_text:\n+133         sentence = re.split(r\"(?<=[.!?])\\s+|\\n+\", content_text, maxsplit=1)[0].strip(\" -:\\n\\t\")\n+134         sentence = re.sub(r\"\\s+\", \" \", sentence)\n+135         if sentence and not looks_incomplete(sentence):\n+136             return sentence[:140]\n+137         if sentence:\n+138             words = sentence.split()\n+139             if len(words) >= 3:\n+140                 return \" \".join(words[: min(len(words), 12)])[:140]\n+141 \n+142     return fallback\n+143 \n+144 \n  76 def build_prompt(job: dict[str, Any]) -> str:\n  77     meta = session_meta(job)\n  78     return f\"\"\"You are deciding whether a Pi session has durable value.\n  79 \n     ...\n  83 - Do NOT save operational notes about this session-memory system, dispatch flow, or local implementation work unless they affect broader workflows beyond this repo.\n  84 - Save only if the session contains a stable user preference, enduring project fact, reusable external artifact, decision, procedure, or blocker that will matter in future unrelated sessions.\n  85 - If nothing durable exists, return save=false.\n  86 - If the memory is likely durable, assign the best type and include evidence.\n+156 - Title must be a complete, standalone phrase. Never end it with a dangling connector, article, preposition, or unfinished clause.\n  87 - Output JSON only. No markdown. No extra text.\n  88 \n  89 Return this schema:\n  90 {{\n     ...\n 152                 \"subtype\": analysis.get(\"subtype\"),\n 153                 \"scope\": analysis.get(\"scope\") or meta.get(\"scope\") or \"global\",\n 154                 \"status\": \"inbox\" if is_candidate else \"active\",\n 155                 \"source_kind\": \"manual\",\n-156                 \"title\": analysis.get(\"title\") or \"Session insight\",\n+226                 \"title\": normalize_title(analysis.get(\"title\"), analysis.get(\"content\")),\n 157                 \"content\": analysis.get(\"content\") or \"\",\n 158                 \"confidence\": float(analysis.get(\"confidence\") or 0.75),\n 159                 \"freshness\": float(analysis.get(\"freshness\") or 0.9),\n 160                 \"importance\": float(analysis.get(\"importance\") or 0.5),\n     ...","firstChangedLine":12},"isError":false,"timestamp":1777606679309}}
{"type":"message","id":"4fd81527","parentId":"aa58eed9","timestamp":"2026-05-01T03:38:02.170Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_0cc961c21e5dde7d0169f42018d84481939f812cdab5b94c32\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp9CAZ5vyt3pxvbFztW33uKnCY-t_ajSO9fXmf0D0GKFe7Hsg_bp6XuP5-hXLlkKJgGN755aMOqfTqsJWe3DuCCkoEKwDcLTjOZ-37KyqCI4rOsNydPHinOuuWATvJdF3Ls3afVsIxv7EP3q10t-pbGStneWK_R2lGOMnuiaQ9N-TzinYEo2LyUVt50Grtc0q_CsF4IRgnzKm9Nav5SHJL5aowTaEzqHNaM5LinGfzT79nT5aN5GOPfXYVF_tdq1zXO-VVMlNmeJXSl05okA5nobXCqMvpg-CI11k70n-SUhTvxdRR6VWEWSzE6JuPeIEbC5XQrJEz12Ej3UhW7h0dzGZjOyQuoA6dWYAaKA-jj6TcGWNO81BOUzQiKiuHUjqGyDDYEr4SDuZuCSk0ZFP91JY08HFmGfMMO9XE6pKR0iwOnMPQ-r6TfC211yAZhLmqZJYYVZVL_Tj2w_DCP55oiYbLzwRGNlJRS92j6QZchUZpXouBHTyJeQftouLx0caabuWq-47jA8E1rya6mnCfl9ZN099Lid97xXakBs4W-XiHqk_-jLycPGKQWqeNX3o7m_x9xI0vEqBdVVSPVQ-aaCz705xGNu_qIKfOX9ermTqbb9nDzM-aNX35QO1SU0O_L59D1Ekb2zLyMsKBZHzocuY7kvE7uMNjecblC_PTXi2J8FZT_ynYekI9scdR734pJNhNON8in3MCSqGEAhcJe3t0iINAifeZ5VdDMFHzkD97Hftcatq5xOfH1u0-VcS-sA0AEd7jir01uFOW28q7XTJJRJqmBZr2uVTqenYaBPZxBk_CLrmQ1PWoxrOUQoFWbFlNIeEH__Dwx2FuyQ98A4lkUBSRv6E-Y_c4idC4dgeElsg6xgf-SMSH-J-C1QTwa2z4E-ck146CfNRwl6MecVuE2tsc00V5nyQkKEk7o-TSeI35oK1EXlqYfXFB5H2TBBsD\",\"summary\":[]}"},{"type":"toolCall","id":"call_EAnwP3eufNRZ4rmCMvonmr1F|fc_0cc961c21e5dde7d0169f42019864c81938e00106908d85dc6","name":"bash","arguments":{"command":"cd /mnt/rpi/pi-config && python3 -m py_compile scripts/session-memory-analyzer.py && git diff -- scripts/session-memory-analyzer.py","timeout":20}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":1207,"output":65,"cacheRead":10240,"cacheWrite":0,"totalTokens":11512,"cost":{"input":0.0030175,"output":0.0009750000000000001,"cacheRead":0.0025599999999999998,"cacheWrite":0,"total":0.0065525}},"stopReason":"toolUse","timestamp":1777606679313,"responseId":"resp_0cc961c21e5dde7d0169f420179c3481938028b68ada6ecd15"}}
{"type":"message","id":"c1ae0339","parentId":"4fd81527","timestamp":"2026-05-01T03:38:02.228Z","message":{"role":"toolResult","toolCallId":"call_EAnwP3eufNRZ4rmCMvonmr1F|fc_0cc961c21e5dde7d0169f42019864c81938e00106908d85dc6","toolName":"bash","content":[{"type":"text","text":"diff --git a/scripts/session-memory-analyzer.py b/scripts/session-memory-analyzer.py\nindex aafda6b..b8ed31b 100644\n--- a/scripts/session-memory-analyzer.py\n+++ b/scripts/session-memory-analyzer.py\n@@ -9,6 +9,7 @@ import sys\n from pathlib import Path\n from typing import Any\n from urllib import request\n+import re\n \n AGENTS_DB_API = os.environ.get(\"AGENTS_DB_API\", \"http://100.116.176.16:8091\")\n PI_MODEL = os.environ.get(\"PI_SESSION_MEMORY_MODEL\", \"gpt-5.4-mini\")\n@@ -73,6 +74,74 @@ def session_meta(job: dict[str, Any]) -> dict[str, Any]:\n     return job\n \n \n+def normalize_title(title: Any, content: Any, fallback: str = \"Session insight\") -> str:\n+    value = re.sub(r\"\\s+\", \" \", str(title or \"\")).strip(\" -:\\n\\t\")\n+    content_text = re.sub(r\"\\s+\", \" \", str(content or \"\")).strip()\n+\n+    bad_endings = {\n+        \"a\",\n+        \"an\",\n+        \"and\",\n+        \"as\",\n+        \"at\",\n+        \"by\",\n+        \"de\",\n+        \"del\",\n+        \"el\",\n+        \"en\",\n+        \"for\",\n+        \"from\",\n+        \"has\",\n+        \"in\",\n+        \"into\",\n+        \"la\",\n+        \"las\",\n+        \"los\",\n+        \"of\",\n+        \"on\",\n+        \"or\",\n+        \"para\",\n+        \"por\",\n+        \"still\",\n+        \"the\",\n+        \"to\",\n+        \"with\",\n+        \"without\",\n+        \"y\",\n+    }\n+\n+    def looks_incomplete(text: str) -> bool:\n+        if not text:\n+            return True\n+        words = text.split()\n+        if len(words) < 3:\n+            return True\n+        if words[-1].lower() in bad_endings:\n+            return True\n+        if text.endswith((\"/\", \"(\", \"[\", \"{\", \"-\", \":\")):\n+            return True\n+        if text.count(\"(\") > text.count(\")\"):\n+            return True\n+        if text.count(\"[\") > text.count(\"]\"):\n+            return True\n+        return False\n+\n+    if not looks_incomplete(value):\n+        return value[:140]\n+\n+    if content_text:\n+        sentence = re.split(r\"(?<=[.!?])\\s+|\\n+\", content_text, maxsplit=1)[0].strip(\" -:\\n\\t\")\n+        sentence = re.sub(r\"\\s+\", \" \", sentence)\n+        if sentence and not looks_incomplete(sentence):\n+            return sentence[:140]\n+        if sentence:\n+            words = sentence.split()\n+            if len(words) >= 3:\n+                return \" \".join(words[: min(len(words), 12)])[:140]\n+\n+    return fallback\n+\n+\n def build_prompt(job: dict[str, Any]) -> str:\n     meta = session_meta(job)\n     return f\"\"\"You are deciding whether a Pi session has durable value.\n@@ -84,6 +153,7 @@ Rules:\n - Save only if the session contains a stable user preference, enduring project fact, reusable external artifact, decision, procedure, or blocker that will matter in future unrelated sessions.\n - If nothing durable exists, return save=false.\n - If the memory is likely durable, assign the best type and include evidence.\n+- Title must be a complete, standalone phrase. Never end it with a dangling connector, article, preposition, or unfinished clause.\n - Output JSON only. No markdown. No extra text.\n \n Return this schema:\n@@ -153,7 +223,7 @@ def main() -> int:\n                 \"scope\": analysis.get(\"scope\") or meta.get(\"scope\") or \"global\",\n                 \"status\": \"inbox\" if is_candidate else \"active\",\n                 \"source_kind\": \"manual\",\n-                \"title\": analysis.get(\"title\") or \"Session insight\",\n+                \"title\": normalize_title(analysis.get(\"title\"), analysis.get(\"content\")),\n                 \"content\": analysis.get(\"content\") or \"\",\n                 \"confidence\": float(analysis.get(\"confidence\") or 0.75),\n                 \"freshness\": float(analysis.get(\"freshness\") or 0.9),\n"}],"isError":false,"timestamp":1777606682228}}
{"type":"message","id":"4663f609","parentId":"c1ae0339","timestamp":"2026-05-01T03:38:06.657Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"**Considering service options**\n\nI’m thinking about whether I need to mention restarting the service. The analyzer launches the script each time, so no restart is needed if the file path is the same, which is good. I wonder if I should save the memory of that decision, but maybe it’s not necessary. I really want to keep my response concise. It’s fascinating to weigh these aspects carefully!","thinkingSignature":"{\"id\":\"rs_0cc961c21e5dde7d0169f4201be2548193b88c09b338e86687\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp9CAeYtaUHAvk0qfvtB2RD8f8zbKmRs62MWFi5Rs_zCqzy7cpra8ANRD0JwhL8a7ou4UtwMxgrV6ENkK24HcrJJ1t8hdaiI58zvXAWdaeeLnd1gNJEvM4vlG5AMAqwbeS4ps7i9Z381wdsDe9bCDQcXQjzHNMDbUoy4mqxCTjRw_eJZXZcnAotjcXfxOktvpKxpyRaOFzGhatJLMg9fgmIAyJFVxV46HEOTF6G_gZFuWeTsDhe0f8MZj_2rP9K8-qX4U4TEHmJdX8kWIQTodTYPqMeDSoWcOC24Apu8lXcR-1CMM2g8QivPfX5V-Oq3fDp0J3z0e9g2r0vGv9BAXzezlhQUJ9XhpCTaN2mF-H9PenqOgFYCxNvbMUwUVdhOs2oXl5xG4QV26Otgd1bZ4_R_7bPQv1wRA-FvRuqHpHvT2js_3ROFrJByoozpgtBBhh6n2WjBF5tfIG3kMUgqa_ZsY1D-S_uzw21NxjQeY4fHau7jxWLnElJLT7RM_k33j-ohkdBZBP6tS0xnjBrie3urEjcwy1sZ6hoGrC_j2OxhiWyYlUL_7ovKWeU2etWmNR_kJrzMALn-imqLaPycv3CAY2NORqT0VaAttu2L9mjocT6BEarQwEG6YKhOvM2Eg2KUk5Ir34KV1OoSRO3vongTgnY9P2XIYZ25iH7ujUFOTq40gg6ggynFuZC7McA1Bbhr0Xu5JFkdlZ8HJYFwAX-xnxxBw2RUubRVkYfyIZPnWEA1sDUqzBFkt8rM3CjfOi_w_Cws52-t5iWKmPT1MIO81B491TOpU_Tj-JU_5EoAAbh3jIk-DSa02hsBYGUMOukL1C5sqJQ9NVSIX56cNeG8WCiAVn3PPZtr1_i9x4yAJziU48ufoNkYBvXojxqkIsr4VSa1wFiGp1mfy9orSpD1vDgp1BpClFB6oyW4BMqiDnE4O9IdzJIYDZnnymMJJzp9RVXywXeTVPkqSyzoIJ7W4ScDZFWIboHpyOK2XYH7uDj5ve0iAQO-MWUWmKHiRP0miYu03LwkLmRqV_apMRvvC9PfBlxCreux8RQnsmY2P4Tv1WqPhhIwnaXbsxOZhQToqSZRtlbJUE1NI2q08X3hrfxZJiuoEMhMe_ibpq_Ndxk3MDJEqaHBqsHt3c4Rd6zXUyi4Ssb6MXPrUKbaLJZ8nLKCUBhTg7sdN8SSnfwfehe7Q4INIY5f8Sn5Ho11xq9B2q\",\"summary\":[{\"type\":\"summary_text\",\"text\":\"**Considering service options**\\n\\nI’m thinking about whether I need to mention restarting the service. The analyzer launches the script each time, so no restart is needed if the file path is the same, which is good. I wonder if I should save the memory of that decision, but maybe it’s not necessary. I really want to keep my response concise. It’s fascinating to weigh these aspects carefully!\"}]}"},{"type":"text","text":"Fixed.\n\nChange:\n- tightened analyzer prompt: title must be complete\n- added `normalize_title()` fallback in `scripts/session-memory-analyzer.py`\n- if model returns a dangling title, it now repairs from content or falls back safely\n\nCheck:\n- `python3 -m py_compile scripts/session-memory-analyzer.py` passed\n\nNo service restart needed. New session-memory jobs will use it.","textSignature":"{\"v\":1,\"id\":\"msg_0cc961c21e5dde7d0169f4201e35388193a0b68d2432fab3a7\",\"phase\":\"final_answer\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":1203,"output":130,"cacheRead":11264,"cacheWrite":0,"totalTokens":12597,"cost":{"input":0.0030075,"output":0.0019500000000000001,"cacheRead":0.002816,"cacheWrite":0,"total":0.0077735}},"stopReason":"stop","timestamp":1777606682230,"responseId":"resp_0cc961c21e5dde7d0169f4201a855c819380adbed00568ddc4"}}
{"type":"message","id":"83e9eea3","parentId":"4663f609","timestamp":"2026-05-01T03:40:40.412Z","message":{"role":"user","content":[{"type":"text","text":"what? no. i wanted to change the title of the menu asking to analyze the session"}],"timestamp":1777606840399}}
{"type":"message","id":"8f42de12","parentId":"83e9eea3","timestamp":"2026-05-01T03:40:46.355Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_0cc961c21e5dde7d0169f420b966ec8193953cedb6c65bb553\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp9CC9_q_mG906wBbDxlqcyu_qWZ-fKZ-o3b_R_61NcKxGwFPnEYh58WRU2e0y8rMswxXaSHgPiIzjrwZuoZHTLeOybouanmqWsxSKQslwNNzsasxz-NaA7rDMd3g_Q2I5zX0IF3cHSQFzGDfPX3TrN0gX1aP7GB9mLt4li7bA6Lkf2oGSrUq8wS06SP5Fk8kELLVw6W6LYqzzQbVxMDObxZA7xAwDmTAzRqdpIsHrxI_p54n4srrQG5Jk5s3Umc_6WU9bToUH-vYnX-DtjgKxVlyJln37fBAm6xcg-SX3czT_AHrEoul8vDMA7PQ1P3DURgRWjtYLUUfraSuc2psmQYl9u9HB0w1PF_ggtHKB67ri7dgU_aNbNYJI96ppr-ytpLcq3T249aKObVoaHQwHthLVDYsuD-Xhh9d-7FLouXXQ06Q6umwWG215mn1dljX8vvDYEIvPI95uT91nZBfde_bmJKJK-teL91RAwBSQ2ac9QdXwfFd0zWSH8kN_v_XEZrLoW5G9x4C4vHc7lrcHixCjHXvqZxeitmUWzW9Px0-AS_zDbAuqkSMqW9l4v5d_e6FDpHUC30351gTMevNdFoEzHcXw8SsQGChnUA-NwWf-HRVJ2Pk0p-HP8MJ8NVFssOAIHVUDpkj25Qqx4oii00z1CLwQzqZ_1S17sizq2pO3FWC_GaX-TUvC4W3pkN-m5YgXb5DdjyuKhq-bWprsguK2zZJ1wcsvuH2MYeQPO-S4PpRUGRAmP_3UexXNIKHEdNHYx4ZQUhYPGwIW6BQ9BqcLQJ1kqz_2S2_wYZyALThvUSHArys45UudjQqO-SabVQh-z8oEivyerA_aIPNv-3LmIQwXL87Sb8zQc6mXHmlKbcB_NK6RDqvTkM4wj_n9IOU6WQ_mHlGlDP3tghgti1kSmvCpvhegDt21U3lohXVbsHHqLkarKEG9xynpqKM0scbe2zbDSGIMSmS0PGtqlOneglu9yEG_3rrHcdM90Is7IE2rZwG7xHeSXWqgDIEzijd9PoJ2N9HO2NJcnZPsgXh1YONRdsmt2qrSWbMV3wxFVgCES_Te-M4ZdnQpeETHUX2gDXQ7ed9U3UfiBWZ3GxScDOTtTV8c08MHLtSo8BEUyYSt38YNWUW28GjL-0kV2Yh3GcdO4yZwHza2lLu3m8bb4kUEVPt5TT5kgPG1AUp41YfVoizlq9JyXzsqMIvA-nGzA4wwuWjntykh4jlJ01p-GCEmrfuuB_XSk4rpiWufn5-vOFbdd_Bu_Mxc9-bmz3EIaAFu8tI1TLwCGFBdqJ-EGWmbHRw2ZRKjYfnG83aqJ3-0HAsg-VgJTwCHOZsZyyOwDrNw0wVdiBM6s2gD2r5KMyVpsGT5UtWbOXw4kD7GC6iC6_qfJjF5nLt0fr7Q_9keHiEA0LQm_d335LVvF8RaueGmNkrgqIstS11D12EGZij7o29U52JBioFd3urU869FGU3PcFRniWJcM9OTo6Mqwi4zqgOhJgDsa5N5Nf-5jeKn9RfclyJVuqAgWr0NZ_GAn_cY2IRextfQ4Qj11qX5ot5FJqMZ8hFVZcFMCqKGRYXtXfoCRPDsb1Ew33UGOqX7UBiy-MhlCYJFoPglbBlhpL-FkOt5REuHad9sNjha_TUOxvEYVy05xK3PrPuNDBOKzKSQrf5J9ZM3ZaTSPWSPmwNWkpllKbQlIBWWnzSeluWd2Yq5_TPKj_3kVnLE2PjSCGxbv5XLSbFZRzFwxvEya4ZnWalOadnqEnY0luClWTWIqVW_sVZQebuAP6MTotX6Ze3zcta8Hz8w9nmC0n7ZtiYMCOGr7hB_9X-unfAa80B7ybeuRSe14nfJ43LbiwhFa-LREjKckbwR6w9oHebV77N5EBbxcUVeN9mqd5wPr4pkc_B4etqdtIMUx9C84ys3p7bIvsCG_-bDWVXHrdxLtOrixljfTJGAxjlerBZwSUxZS6s_tqeBAXMp3kfl0YbS4WfpE7rQ36XDRI-z4Pz4-iqTcSggysieWRNYIeacL-O5uxbiK3SKoSgFMLoKA8FgpXPBrW7aZWpH5Ql10zgiuw==\",\"summary\":[]}"},{"type":"text","text":"Right. I changed wrong thing.\n\nMenu titles live here:\n- `/mnt/rpi/pi-config/extensions/session-memory-dispatcher.ts`\n\nCurrent titles:\n- `Before closing this session`\n- `Before forking away from this session`\n- `Guardar insights en memoria?`\n- `Queue session analysis from this session`\n\nNeed exact replacement text.  \nGive me the new title string, or I can set all prompts to:\n\n`Analyze this session for memory?`","textSignature":"{\"v\":1,\"id\":\"msg_0cc961c21e5dde7d0169f420bd34d0819389c7d0b1b383e11b\",\"phase\":\"final_answer\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":12355,"output":265,"cacheRead":0,"cacheWrite":0,"totalTokens":12620,"cost":{"input":0.030887500000000002,"output":0.003975,"cacheRead":0,"cacheWrite":0,"total":0.034862500000000005}},"stopReason":"stop","timestamp":1777606840408,"responseId":"resp_0cc961c21e5dde7d0169f420b8b594819385a7276db6031e69"}}
{"type":"message","id":"ec8c2567","parentId":"8f42de12","timestamp":"2026-05-01T03:41:30.558Z","message":{"role":"user","content":[{"type":"text","text":"yes. revert the other thing because i dont even know what it was"}],"timestamp":1777606890544}}
{"type":"message","id":"29ca83bb","parentId":"ec8c2567","timestamp":"2026-05-01T03:41:48.215Z","message":{"role":"assistant","content":[{"type":"thinking","thinking":"","thinkingSignature":"{\"id\":\"rs_0cc961c21e5dde7d0169f420ec30a48193b680ba2e4cb80d28\",\"type\":\"reasoning\",\"encrypted_content\":\"gAAAAABp9CDvVUF9t5-XN7XaZZbeBp2rzuwvaBlHFjXQpLeuYawfoTL4D4WuaVDGU2SPCZlKP2k2-FB4K3MBhLC4-21DOu1o3SYejmj0gI5nUl2LT3HZcX_5z1c0W3aGbADITvJ0WyisZvCYQZLuH1e9Fb1IqjxH0pLLRB1If0_bN72lewGDpQGamdEIHEsjaAQRcKH3CbHsHbaRa4uFMSBeOZYEUEAk6BE-bbwpYSXVnehxnan3qve_O-LnMYjz-6LfOpN4BSh3AjOiVbDQK4yDJ3slnLH6_pseZbpG7_H3Q0Utg0Sq3fupcTqHnJkrIap5WYX9YzM6RZ-V_7OyEB8XcPnnS5RF7QH7BDilij_O4ssma-HZneWg10X1karDE9UmjI9x4bIaq3BsSvQWfBg7qelErVqjFa4oOJSpXeopuU8N51AtkvCZK8LREda-pMu3NxN5S890i8wwkJzndtZHe5gmZBbiNvHuiWRloszYeii5Z-nD2MZzurVBmWFzQzJIxcDyaYwO0OYVYGnaWgxQ-X1vAIR6w8wpgtAIhF5QQA0G9sMBUySRcR4_5q2fFZzAYoV1tafUbvYtaNT-YNpRvE5kk1DFpVSUhQ2Ps7MFS4VSyqFTII-iDtqS_jXKQIHksL4BqYkg2_N8XOI33t9KwF-51Xdsx1JNliaHTrj1wFT5jQMXrMqVxXuo_LjNpJmECOFPIchS6NFfx4mXXKqzma2273OwUAeeWHldq3bpNzK_7sizsJMd1k_cIxFvszritz0JFidNz4y5FpS3Mjlg5YWXzmakCPuK5flGA4Sa-LSg86Sfq8rw63LqiPc5SfO-_u_qZddNjl-7MGzqlpxC8UGrIpx85CirU6VbDyO7sm_3Le-e76cdH7nS32xoO9DUMpm6mdQm8_8TVAIXvWaZ7iJwCJjX6t29nWZ2tRQukN8uhXafj3aDWj3u1CfkssfKXqsvSNL_HR4dC6vRd73mONzBiKuOCXIQ5aRTZCanGiZ5Z_Rf7HE=\",\"summary\":[]}"},{"type":"toolCall","id":"call_Mq6ncQwk6dlco6IJaqlhyqDR|fc_0cc961c21e5dde7d0169f420ef643c819381e1ae050d5ae1f3","name":"edit","arguments":{"path":"/mnt/rpi/pi-config/scripts/session-memory-analyzer.py","edits":[{"oldText":"from pathlib import Path\nfrom typing import Any\nfrom urllib import request\nimport re\n","newText":"from pathlib import Path\nfrom typing import Any\nfrom urllib import request\n"},{"oldText":"def session_meta(job: dict[str, Any]) -> dict[str, Any]:\n    payload = job.get(\"payload\")\n    if isinstance(payload, dict):\n        return payload\n    return job\n\n\ndef normalize_title(title: Any, content: Any, fallback: str = \"Session insight\") -> str:\n    value = re.sub(r\"\\s+\", \" \", str(title or \"\")).strip(\" -:\\n\\t\")\n    content_text = re.sub(r\"\\s+\", \" \", str(content or \"\")).strip()\n\n    bad_endings = {\n        \"a\",\n        \"an\",\n        \"and\",\n        \"as\",\n        \"at\",\n        \"by\",\n        \"de\",\n        \"del\",\n        \"el\",\n        \"en\",\n        \"for\",\n        \"from\",\n        \"has\",\n        \"in\",\n        \"into\",\n        \"la\",\n        \"las\",\n        \"los\",\n        \"of\",\n        \"on\",\n        \"or\",\n        \"para\",\n        \"por\",\n        \"still\",\n        \"the\",\n        \"to\",\n        \"with\",\n        \"without\",\n        \"y\",\n    }\n\n    def looks_incomplete(text: str) -> bool:\n        if not text:\n            return True\n        words = text.split()\n        if len(words) < 3:\n            return True\n        if words[-1].lower() in bad_endings:\n            return True\n        if text.endswith((\"/\", \"(\", \"[\", \"{\", \"-\", \":\")):\n            return True\n        if text.count(\"(\") > text.count(\")\"):\n            return True\n        if text.count(\"[\") > text.count(\"]\"):\n            return True\n        return False\n\n    if not looks_incomplete(value):\n        return value[:140]\n\n    if content_text:\n        sentence = re.split(r\"(?<=[.!?])\\s+|\\n+\", content_text, maxsplit=1)[0].strip(\" -:\\n\\t\")\n        sentence = re.sub(r\"\\s+\", \" \", sentence)\n        if sentence and not looks_incomplete(sentence):\n            return sentence[:140]\n        if sentence:\n            words = sentence.split()\n            if len(words) >= 3:\n                return \" \".join(words[: min(len(words), 12)])[:140]\n\n    return fallback\n\n\ndef build_prompt(job: dict[str, Any]) -> str:\n","newText":"def session_meta(job: dict[str, Any]) -> dict[str, Any]:\n    payload = job.get(\"payload\")\n    if isinstance(payload, dict):\n        return payload\n    return job\n\n\ndef build_prompt(job: dict[str, Any]) -> str:\n"},{"oldText":"- If the memory is likely durable, assign the best type and include evidence.\n- Title must be a complete, standalone phrase. Never end it with a dangling connector, article, preposition, or unfinished clause.\n- Output JSON only. No markdown. No extra text.\n","newText":"- If the memory is likely durable, assign the best type and include evidence.\n- Output JSON only. No markdown. No extra text.\n"},{"oldText":"                \"title\": normalize_title(analysis.get(\"title\"), analysis.get(\"content\")),\n","newText":"                \"title\": analysis.get(\"title\") or \"Session insight\",\n"}]}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":696,"output":881,"cacheRead":11776,"cacheWrite":0,"totalTokens":13353,"cost":{"input":0.0017400000000000002,"output":0.013215000000000001,"cacheRead":0.002944,"cacheWrite":0,"total":0.017899}},"stopReason":"toolUse","timestamp":1777606890552,"responseId":"resp_0cc961c21e5dde7d0169f420ead9048193b1f718df233dc25a"}}
{"type":"message","id":"534bd37d","parentId":"29ca83bb","timestamp":"2026-05-01T03:41:48.234Z","message":{"role":"toolResult","toolCallId":"call_Mq6ncQwk6dlco6IJaqlhyqDR|fc_0cc961c21e5dde7d0169f420ef643c819381e1ae050d5ae1f3","toolName":"edit","content":[{"type":"text","text":"Successfully replaced 4 block(s) in /mnt/rpi/pi-config/scripts/session-memory-analyzer.py."}],"details":{"diff":"     ...\n   8 import sys\n   9 from pathlib import Path\n  10 from typing import Any\n  11 from urllib import request\n- 12 import re\n  13 \n  14 AGENTS_DB_API = os.environ.get(\"AGENTS_DB_API\", \"http://100.116.176.16:8091\")\n  15 PI_MODEL = os.environ.get(\"PI_SESSION_MEMORY_MODEL\", \"gpt-5.4-mini\")\n  16 PI_THINKING = os.environ.get(\"PI_SESSION_MEMORY_THINKING\", \"off\")\n     ...\n  73         return payload\n  74     return job\n  75 \n  76 \n- 77 def normalize_title(title: Any, content: Any, fallback: str = \"Session insight\") -> str:\n- 78     value = re.sub(r\"\\s+\", \" \", str(title or \"\")).strip(\" -:\\n\\t\")\n- 79     content_text = re.sub(r\"\\s+\", \" \", str(content or \"\")).strip()\n- 80 \n- 81     bad_endings = {\n- 82         \"a\",\n- 83         \"an\",\n- 84         \"and\",\n- 85         \"as\",\n- 86         \"at\",\n- 87         \"by\",\n- 88         \"de\",\n- 89         \"del\",\n- 90         \"el\",\n- 91         \"en\",\n- 92         \"for\",\n- 93         \"from\",\n- 94         \"has\",\n- 95         \"in\",\n- 96         \"into\",\n- 97         \"la\",\n- 98         \"las\",\n- 99         \"los\",\n-100         \"of\",\n-101         \"on\",\n-102         \"or\",\n-103         \"para\",\n-104         \"por\",\n-105         \"still\",\n-106         \"the\",\n-107         \"to\",\n-108         \"with\",\n-109         \"without\",\n-110         \"y\",\n-111     }\n-112 \n-113     def looks_incomplete(text: str) -> bool:\n-114         if not text:\n-115             return True\n-116         words = text.split()\n-117         if len(words) < 3:\n-118             return True\n-119         if words[-1].lower() in bad_endings:\n-120             return True\n-121         if text.endswith((\"/\", \"(\", \"[\", \"{\", \"-\", \":\")):\n-122             return True\n-123         if text.count(\"(\") > text.count(\")\"):\n-124             return True\n-125         if text.count(\"[\") > text.count(\"]\"):\n-126             return True\n-127         return False\n-128 \n-129     if not looks_incomplete(value):\n-130         return value[:140]\n-131 \n-132     if content_text:\n-133         sentence = re.split(r\"(?<=[.!?])\\s+|\\n+\", content_text, maxsplit=1)[0].strip(\" -:\\n\\t\")\n-134         sentence = re.sub(r\"\\s+\", \" \", sentence)\n-135         if sentence and not looks_incomplete(sentence):\n-136             return sentence[:140]\n-137         if sentence:\n-138             words = sentence.split()\n-139             if len(words) >= 3:\n-140                 return \" \".join(words[: min(len(words), 12)])[:140]\n-141 \n-142     return fallback\n-143 \n-144 \n 145 def build_prompt(job: dict[str, Any]) -> str:\n 146     meta = session_meta(job)\n 147     return f\"\"\"You are deciding whether a Pi session has durable value.\n 148 \n     ...\n 152 - Do NOT save operational notes about this session-memory system, dispatch flow, or local implementation work unless they affect broader workflows beyond this repo.\n 153 - Save only if the session contains a stable user preference, enduring project fact, reusable external artifact, decision, procedure, or blocker that will matter in future unrelated sessions.\n 154 - If nothing durable exists, return save=false.\n 155 - If the memory is likely durable, assign the best type and include evidence.\n-156 - Title must be a complete, standalone phrase. Never end it with a dangling connector, article, preposition, or unfinished clause.\n 157 - Output JSON only. No markdown. No extra text.\n 158 \n 159 Return this schema:\n 160 {{\n     ...\n 222                 \"subtype\": analysis.get(\"subtype\"),\n 223                 \"scope\": analysis.get(\"scope\") or meta.get(\"scope\") or \"global\",\n 224                 \"status\": \"inbox\" if is_candidate else \"active\",\n 225                 \"source_kind\": \"manual\",\n-226                 \"title\": normalize_title(analysis.get(\"title\"), analysis.get(\"content\")),\n+156                 \"title\": analysis.get(\"title\") or \"Session insight\",\n 227                 \"content\": analysis.get(\"content\") or \"\",\n 228                 \"confidence\": float(analysis.get(\"confidence\") or 0.75),\n 229                 \"freshness\": float(analysis.get(\"freshness\") or 0.9),\n 230                 \"importance\": float(analysis.get(\"importance\") or 0.5),\n     ...","firstChangedLine":12},"isError":false,"timestamp":1777606908233}}
{"type":"message","id":"746af06b","parentId":"534bd37d","timestamp":"2026-05-01T03:42:04.264Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_7ckiFwGl05gkEWrxkNYyJoGf|fc_0cc961c21e5dde7d0169f420fd54108193820463e6304a0c93","name":"edit","arguments":{"path":"/mnt/rpi/pi-config/extensions/session-memory-dispatcher.ts","edits":[{"oldText":"\tpi.on(\"session_before_switch\", async (event, ctx) => {\n\t\tconst result = await runPrompt(ctx, `before_switch:${event.reason}`, { allowCancel: true, title: \"Before closing this session\" });\n\t\tif (result.cancel) return { cancel: true };\n\t\treturn undefined;\n\t});\n\n\tpi.on(\"session_before_fork\", async (_event, ctx) => {\n\t\tconst result = await runPrompt(ctx, \"before_fork\", { allowCancel: true, title: \"Before forking away from this session\" });\n\t\tif (result.cancel) return { cancel: true };\n\t\treturn undefined;\n\t});\n\n\tpi.on(\"session_before_shutdown\", async (event, ctx) => {\n\t\tconst result = await runPrompt(ctx, `before_shutdown:${event.reason}`, { allowCancel: true, title: \"Guardar insights en memoria?\", timeoutMs: 12000 });\n\t\tif (result.cancel) return { cancel: true };\n\t\treturn undefined;\n\t});\n\n\tpi.on(\"session_shutdown\", async (_event, ctx) => {\n\t\tawait runPrompt(ctx, \"shutdown_fallback\", { allowCancel: false, title: \"Guardar insights en memoria?\", timeoutMs: 12000 });\n\t});\n\n\tpi.registerCommand(\"remember-session\", {\n\t\tdescription: \"Queue a session analysis from the current session\",\n\t\thandler: async (_args, ctx) => {\n\t\t\tpromptHandledForCurrentSession = false;\n\t\t\tawait runPrompt(ctx, \"manual_command\", { allowCancel: false, title: \"Queue session analysis from this session\" });\n\t\t},\n\t});\n","newText":"\tpi.on(\"session_before_switch\", async (event, ctx) => {\n\t\tconst result = await runPrompt(ctx, `before_switch:${event.reason}`, { allowCancel: true, title: \"Analyze this session for memory?\" });\n\t\tif (result.cancel) return { cancel: true };\n\t\treturn undefined;\n\t});\n\n\tpi.on(\"session_before_fork\", async (_event, ctx) => {\n\t\tconst result = await runPrompt(ctx, \"before_fork\", { allowCancel: true, title: \"Analyze this session for memory?\" });\n\t\tif (result.cancel) return { cancel: true };\n\t\treturn undefined;\n\t});\n\n\tpi.on(\"session_before_shutdown\", async (event, ctx) => {\n\t\tconst result = await runPrompt(ctx, `before_shutdown:${event.reason}`, { allowCancel: true, title: \"Analyze this session for memory?\", timeoutMs: 12000 });\n\t\tif (result.cancel) return { cancel: true };\n\t\treturn undefined;\n\t});\n\n\tpi.on(\"session_shutdown\", async (_event, ctx) => {\n\t\tawait runPrompt(ctx, \"shutdown_fallback\", { allowCancel: false, title: \"Analyze this session for memory?\", timeoutMs: 12000 });\n\t});\n\n\tpi.registerCommand(\"remember-session\", {\n\t\tdescription: \"Queue a session analysis from the current session\",\n\t\thandler: async (_args, ctx) => {\n\t\t\tpromptHandledForCurrentSession = false;\n\t\t\tawait runPrompt(ctx, \"manual_command\", { allowCancel: false, title: \"Analyze this session for memory?\" });\n\t\t},\n\t});\n"}]}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":1096,"output":825,"cacheRead":12288,"cacheWrite":0,"totalTokens":14209,"cost":{"input":0.0027400000000000002,"output":0.012375,"cacheRead":0.003072,"cacheWrite":0,"total":0.018187000000000002}},"stopReason":"toolUse","timestamp":1777606908238,"responseId":"resp_0cc961c21e5dde7d0169f420fc9854819388dae28996d14ca4"}}
{"type":"message","id":"d9e8fca2","parentId":"746af06b","timestamp":"2026-05-01T03:42:04.314Z","message":{"role":"toolResult","toolCallId":"call_7ckiFwGl05gkEWrxkNYyJoGf|fc_0cc961c21e5dde7d0169f420fd54108193820463e6304a0c93","toolName":"edit","content":[{"type":"text","text":"Successfully replaced 1 block(s) in /mnt/rpi/pi-config/extensions/session-memory-dispatcher.ts."}],"details":{"diff":"     ...\n 139 \t\t}\n 140 \t}\n 141 \n 142 \tpi.on(\"session_before_switch\", async (event, ctx) => {\n-143 \t\tconst result = await runPrompt(ctx, `before_switch:${event.reason}`, { allowCancel: true, title: \"Before closing this session\" });\n+143 \t\tconst result = await runPrompt(ctx, `before_switch:${event.reason}`, { allowCancel: true, title: \"Analyze this session for memory?\" });\n 144 \t\tif (result.cancel) return { cancel: true };\n 145 \t\treturn undefined;\n 146 \t});\n 147 \n 148 \tpi.on(\"session_before_fork\", async (_event, ctx) => {\n-149 \t\tconst result = await runPrompt(ctx, \"before_fork\", { allowCancel: true, title: \"Before forking away from this session\" });\n+149 \t\tconst result = await runPrompt(ctx, \"before_fork\", { allowCancel: true, title: \"Analyze this session for memory?\" });\n 150 \t\tif (result.cancel) return { cancel: true };\n 151 \t\treturn undefined;\n 152 \t});\n 153 \n 154 \tpi.on(\"session_before_shutdown\", async (event, ctx) => {\n-155 \t\tconst result = await runPrompt(ctx, `before_shutdown:${event.reason}`, { allowCancel: true, title: \"Guardar insights en memoria?\", timeoutMs: 12000 });\n+155 \t\tconst result = await runPrompt(ctx, `before_shutdown:${event.reason}`, { allowCancel: true, title: \"Analyze this session for memory?\", timeoutMs: 12000 });\n 156 \t\tif (result.cancel) return { cancel: true };\n 157 \t\treturn undefined;\n 158 \t});\n 159 \n 160 \tpi.on(\"session_shutdown\", async (_event, ctx) => {\n-161 \t\tawait runPrompt(ctx, \"shutdown_fallback\", { allowCancel: false, title: \"Guardar insights en memoria?\", timeoutMs: 12000 });\n+161 \t\tawait runPrompt(ctx, \"shutdown_fallback\", { allowCancel: false, title: \"Analyze this session for memory?\", timeoutMs: 12000 });\n 162 \t});\n 163 \n 164 \tpi.registerCommand(\"remember-session\", {\n 165 \t\tdescription: \"Queue a session analysis from the current session\",\n 166 \t\thandler: async (_args, ctx) => {\n 167 \t\t\tpromptHandledForCurrentSession = false;\n-168 \t\t\tawait runPrompt(ctx, \"manual_command\", { allowCancel: false, title: \"Queue session analysis from this session\" });\n+168 \t\t\tawait runPrompt(ctx, \"manual_command\", { allowCancel: false, title: \"Analyze this session for memory?\" });\n 169 \t\t},\n 170 \t});\n 171 }","firstChangedLine":143},"isError":false,"timestamp":1777606924314}}
{"type":"message","id":"b37688bc","parentId":"d9e8fca2","timestamp":"2026-05-01T03:42:07.536Z","message":{"role":"assistant","content":[{"type":"toolCall","id":"call_ngLQkiIT4BnAquyFX3w2z4ve|fc_0cc961c21e5dde7d0169f4210e73ec81939cc25b876e45082f","name":"bash","arguments":{"command":"cd /mnt/rpi/pi-config && python3 -m py_compile scripts/session-memory-analyzer.py && git diff -- scripts/session-memory-analyzer.py extensions/session-memory-dispatcher.ts","timeout":20}}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":1441,"output":58,"cacheRead":12800,"cacheWrite":0,"totalTokens":14299,"cost":{"input":0.0036025000000000002,"output":0.00087,"cacheRead":0.0031999999999999997,"cacheWrite":0,"total":0.0076725}},"stopReason":"toolUse","timestamp":1777606924318,"responseId":"resp_0cc961c21e5dde7d0169f4210ceea08193b6c032104756339b"}}
{"type":"message","id":"1c709f18","parentId":"b37688bc","timestamp":"2026-05-01T03:42:07.590Z","message":{"role":"toolResult","toolCallId":"call_ngLQkiIT4BnAquyFX3w2z4ve|fc_0cc961c21e5dde7d0169f4210e73ec81939cc25b876e45082f","toolName":"bash","content":[{"type":"text","text":"diff --git a/extensions/session-memory-dispatcher.ts b/extensions/session-memory-dispatcher.ts\nindex 6063e7b..9080989 100644\n--- a/extensions/session-memory-dispatcher.ts\n+++ b/extensions/session-memory-dispatcher.ts\n@@ -140,32 +140,32 @@ export default function (pi: ExtensionAPI) {\n \t}\n \n \tpi.on(\"session_before_switch\", async (event, ctx) => {\n-\t\tconst result = await runPrompt(ctx, `before_switch:${event.reason}`, { allowCancel: true, title: \"Before closing this session\" });\n+\t\tconst result = await runPrompt(ctx, `before_switch:${event.reason}`, { allowCancel: true, title: \"Analyze this session for memory?\" });\n \t\tif (result.cancel) return { cancel: true };\n \t\treturn undefined;\n \t});\n \n \tpi.on(\"session_before_fork\", async (_event, ctx) => {\n-\t\tconst result = await runPrompt(ctx, \"before_fork\", { allowCancel: true, title: \"Before forking away from this session\" });\n+\t\tconst result = await runPrompt(ctx, \"before_fork\", { allowCancel: true, title: \"Analyze this session for memory?\" });\n \t\tif (result.cancel) return { cancel: true };\n \t\treturn undefined;\n \t});\n \n \tpi.on(\"session_before_shutdown\", async (event, ctx) => {\n-\t\tconst result = await runPrompt(ctx, `before_shutdown:${event.reason}`, { allowCancel: true, title: \"Guardar insights en memoria?\", timeoutMs: 12000 });\n+\t\tconst result = await runPrompt(ctx, `before_shutdown:${event.reason}`, { allowCancel: true, title: \"Analyze this session for memory?\", timeoutMs: 12000 });\n \t\tif (result.cancel) return { cancel: true };\n \t\treturn undefined;\n \t});\n \n \tpi.on(\"session_shutdown\", async (_event, ctx) => {\n-\t\tawait runPrompt(ctx, \"shutdown_fallback\", { allowCancel: false, title: \"Guardar insights en memoria?\", timeoutMs: 12000 });\n+\t\tawait runPrompt(ctx, \"shutdown_fallback\", { allowCancel: false, title: \"Analyze this session for memory?\", timeoutMs: 12000 });\n \t});\n \n \tpi.registerCommand(\"remember-session\", {\n \t\tdescription: \"Queue a session analysis from the current session\",\n \t\thandler: async (_args, ctx) => {\n \t\t\tpromptHandledForCurrentSession = false;\n-\t\t\tawait runPrompt(ctx, \"manual_command\", { allowCancel: false, title: \"Queue session analysis from this session\" });\n+\t\t\tawait runPrompt(ctx, \"manual_command\", { allowCancel: false, title: \"Analyze this session for memory?\" });\n \t\t},\n \t});\n }\n"}],"isError":false,"timestamp":1777606927590}}
{"type":"message","id":"6718157f","parentId":"1c709f18","timestamp":"2026-05-01T03:42:10.941Z","message":{"role":"assistant","content":[{"type":"text","text":"Done.\n\nReverted:\n- all analyzer/title logic changes in `scripts/session-memory-analyzer.py`\n\nChanged:\n- all session memory prompt titles now:\n  - `Analyze this session for memory?`\n\nFile:\n- `/mnt/rpi/pi-config/extensions/session-memory-dispatcher.ts`\n\nNote:\n- if Pi loads extensions at startup, restart/reload Pi session to see it.","textSignature":"{\"v\":1,\"id\":\"msg_0cc961c21e5dde7d0169f421114b548193a996e5bb84a00b2d\",\"phase\":\"final_answer\"}"}],"api":"openai-codex-responses","provider":"openai-codex","model":"gpt-5.4","usage":{"input":1076,"output":80,"cacheRead":13824,"cacheWrite":0,"totalTokens":14980,"cost":{"input":0.00269,"output":0.0012000000000000001,"cacheRead":0.003456,"cacheWrite":0,"total":0.007346}},"stopReason":"stop","timestamp":1777606927592,"responseId":"resp_0cc961c21e5dde7d0169f4210fed108193af1d51f2ad6dfd42"}}